(*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 0, 0] NotebookDataLength[ 1206666, 22881] NotebookOptionsPosition[ 1197886, 22662] NotebookOutlinePosition[ 1198643, 22689] CellTagsIndexPosition[ 1198600, 22686] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[TextData[{ StyleBox["\n\n\n\n\n\nEXPLORING PURSUIT CURVES", FontSize->16, FontWeight->"Bold"], StyleBox["\n\n", FontSize->16], "PATRICK O'CONNOR" }], "Text", PageWidth->PaperWidth, CellFrame->{{0, 0}, {2, 0}}, CellChangeTimes->{{3.4364493699300003`*^9, 3.436449400072*^9}, { 3.436449446513*^9, 3.4364494481429996`*^9}, {3.437697184117891*^9, 3.437697187742891*^9}, {3.4772477539191837`*^9, 3.477247859644665*^9}, { 3.477247923422928*^9, 3.477247949487615*^9}, {3.4772479806162977`*^9, 3.477248010451136*^9}, {3.4772489810996313`*^9, 3.477249144083193*^9}, { 3.477249179186117*^9, 3.477249207605714*^9}, {3.478397070794977*^9, 3.478397086081747*^9}, 3.478442182603631*^9, {3.4784429386598577`*^9, 3.478442940457305*^9}, {3.47844541768616*^9, 3.478445429285263*^9}, { 3.479318538050816*^9, 3.479318543303192*^9}}, TextAlignment->Center, TextJustification->1], Cell[TextData[{ "\n", StyleBox["ABSTRACT. Here we explore the topic of pursuit curves and some \ interesting applications. Four types of pursuit curve problems will be \ discussed: linear, circular, multiple, and dynamical.\n\nMATH 4901 Senior \ Seminar\t\t\t\t\tFaculty Advisor: Dr. Byungik Kahng\nUniversity of \ Minnesota, Morris\t\t\t\tSecond Reader: ", FontSize->10], StyleBox["Dr. Michael O'Reily", FontSize->10, FontColor->GrayLevel[0]], StyleBox["\nSpring 2010", FontSize->10], "\n", StyleBox["\n", FontSize->16], "\t\t\t" }], "Text", PageWidth->PaperWidth, CellFrame->{{0, 0}, {2, 0}}, CellChangeTimes->{{3.4364493699300003`*^9, 3.436449400072*^9}, { 3.436449446513*^9, 3.4364494481429996`*^9}, {3.437697184117891*^9, 3.437697187742891*^9}, {3.4772477539191837`*^9, 3.477247859644665*^9}, { 3.477247923422928*^9, 3.477247949487615*^9}, {3.4772479806162977`*^9, 3.477248010451136*^9}, {3.4772489810996313`*^9, 3.477249144083193*^9}, { 3.477249179186117*^9, 3.477249207605714*^9}, 3.47724938727967*^9, { 3.477249419805769*^9, 3.4772495001963873`*^9}, 3.4772495948379383`*^9, { 3.477249765188217*^9, 3.477249786516343*^9}, {3.47726092310625*^9, 3.477260924725863*^9}, {3.478877835081539*^9, 3.478877872470727*^9}, { 3.479222999084309*^9, 3.47922300696959*^9}}, TextAlignment->Left, TextJustification->1], Cell[BoxData[ RowBox[{"\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]"}]], "Input", CellChangeTimes->{{3.478447476488495*^9, 3.478447483963382*^9}, { 3.479318552414323*^9, 3.4793185530217133`*^9}}], Cell[TextData[StyleBox["\n\n1. Introduction", FontFamily->"Times"]], "Text", CellChangeTimes->{{3.4784447499428673`*^9, 3.478444752462245*^9}, { 3.478444825297015*^9, 3.478444826374662*^9}, {3.4784472080906353`*^9, 3.478447214715273*^9}, 3.478447344069544*^9, {3.478447506037169*^9, 3.478447506947234*^9}, {3.479318546621056*^9, 3.4793185479932003`*^9}}, FontFamily->"Times New Roman"], Cell[TextData[{ "\tA pursuit curve is the path an object takes when chasing another object. \ The concept of pursuit curves was first developed almost 2500 years ago. \ Here we will begin by examining some of the first pursuit problems. We will \ discuss how the nature of the problems gives rise to a specific type of \ curve: the ", StyleBox["pursuit", FontSlant->"Italic"], " curve. However, when analyzing pursuit curves, we must make one \ assumption: the tangent line at the pursuer's point must pass through the \ pursued's instantaneous position. This is called a pure pursuit. These \ curves are classified into four different categories. \n\tThe first category \ of pursuit curves that we will consider is ", StyleBox["linear", FontSlant->"Italic"], " pursuit curves. These problems involve a pursued object moving in a \ straight line. We will investigate the actions of both the pursued\tand the \ pursuer. Then we will discuss the conditions that are necessary for the \ pursued to be captured.\n\t", StyleBox["Circular", FontSlant->"Italic"], " pursuit curves is the second category. These curves are formed when the \ pursued moves in a circular path. We will consider three different outcomes \ of this specific type of pursuit problem.\n\tThe third category involves \ pursuit problems with ", StyleBox["multiple", FontSlant->"Italic"], " pursuers. These problems are more complicated and produce some \ fascinating results. We will specifically investigate the pursuit curves \ formed by three, four, and six pursuers. \n\tFinally, we will discuss the \ fourth category of pursuit curves: ", StyleBox["dynamical", FontSlant->"Italic"], " pursuit curves. These pursuit problems are extremely complicated because \ they deal with varying speeds and changing centers of gravity. Utilizing \ graphs to visualize the actions of the pursuer and the pursued is absolutely \ necessary here. \n\tOur goal is to examine different pursuit curve problems \ and solve these problems by applying techniques to solve differential \ equations. Different conditions and reasonable assumptions are discussed in \ each situation." }], "Text", PageWidth->PaperWidth, CellFrame->{{0, 0}, {2, 0}}, CellChangeTimes->{{3.4364493699300003`*^9, 3.43644937346*^9}, { 3.436449457052*^9, 3.436449463067*^9}, 3.436452087344*^9, { 3.436452197724*^9, 3.436452408336*^9}, {3.4364524604960003`*^9, 3.436452471665*^9}, {3.437578544625*^9, 3.4375785446875*^9}, { 3.437578748796875*^9, 3.437578933*^9}, {3.437583918078125*^9, 3.437584008125*^9}, {3.43758617425*^9, 3.43758617425*^9}, { 3.437591380875*^9, 3.43759143434375*^9}, 3.4376788010094*^9, { 3.4376795284986*^9, 3.4376795660634003`*^9}, {3.4376834151102767`*^9, 3.437683480326105*^9}, {3.4376837263775816`*^9, 3.4376837401894627`*^9}, { 3.437684454283877*^9, 3.4376844554244585`*^9}, {3.4376855984921145`*^9, 3.4376859112633553`*^9}, 3.4376880965382185`*^9, {3.4376917291485667`*^9, 3.4376919068193045`*^9}, {3.437692319863536*^9, 3.4376923228322673`*^9}, { 3.437694977315278*^9, 3.4376949811902533`*^9}, {3.4772498067016697`*^9, 3.4772498212145357`*^9}, {3.477249883244206*^9, 3.477249889938075*^9}, { 3.477249964622387*^9, 3.477250132054915*^9}, {3.4772501651897*^9, 3.477250184650228*^9}, {3.4772502797488527`*^9, 3.477250314455991*^9}, { 3.477250348479394*^9, 3.477250349151347*^9}, {3.477250381082386*^9, 3.477250500367138*^9}, {3.477250658028808*^9, 3.4772508068175573`*^9}, { 3.4772508597352657`*^9, 3.477250935213994*^9}, {3.477251068710136*^9, 3.477251122564954*^9}, {3.47726002770477*^9, 3.47726012466956*^9}, { 3.47726016461854*^9, 3.4772602816201763`*^9}, {3.477260404557852*^9, 3.477260530839163*^9}, {3.477260592455192*^9, 3.477260663417309*^9}, { 3.477260868373509*^9, 3.4772608954303837`*^9}, {3.477260928707717*^9, 3.4772609719085197`*^9}, {3.4772610271583643`*^9, 3.477261061212357*^9}, { 3.477261250452499*^9, 3.477261397243724*^9}, {3.477261430600953*^9, 3.477261464216155*^9}, {3.477261537958083*^9, 3.4772616668577433`*^9}, { 3.477261700538843*^9, 3.477261741882863*^9}, {3.477261853297117*^9, 3.477262041491764*^9}, {3.477262202512286*^9, 3.477262229119154*^9}, { 3.47844218971346*^9, 3.478442190690564*^9}, {3.4784424096970177`*^9, 3.478442411674674*^9}, 3.478443977282559*^9, {3.478444092875682*^9, 3.4784441025977488`*^9}, 3.478444733824081*^9, {3.4784452786664867`*^9, 3.478445286706468*^9}, {3.478622644262306*^9, 3.478622675107369*^9}, { 3.479224096774716*^9, 3.479224117721745*^9}, {3.479224168646175*^9, 3.479224169714245*^9}, {3.480013476562684*^9, 3.480013619217465*^9}, { 3.48002250271716*^9, 3.480022506319839*^9}, {3.480023191461396*^9, 3.4800231917870502`*^9}}], Cell["2. Linear Pursuit Curves", "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.4364493699300003`*^9, 3.43644937346*^9}, { 3.436449457052*^9, 3.436449463067*^9}, 3.436452087344*^9, { 3.436452197724*^9, 3.436452408336*^9}, {3.4364524604960003`*^9, 3.436452471665*^9}, {3.437578544625*^9, 3.4375785446875*^9}, { 3.437578748796875*^9, 3.437578933*^9}, {3.437583918078125*^9, 3.437584008125*^9}, {3.43758617425*^9, 3.43758617425*^9}, { 3.437591380875*^9, 3.43759143434375*^9}, 3.4376788010094*^9, { 3.4376795284986*^9, 3.4376795660634003`*^9}, {3.4376834151102767`*^9, 3.437683480326105*^9}, {3.4376837263775816`*^9, 3.4376837401894627`*^9}, { 3.437684454283877*^9, 3.4376844554244585`*^9}, {3.4376855984921145`*^9, 3.437685756158944*^9}, {3.4376859139195204`*^9, 3.437685915060109*^9}, { 3.4376865159017515`*^9, 3.4376865552444944`*^9}, 3.437688101444374*^9, 3.4376923156448135`*^9, {3.4376968509147654`*^9, 3.4376968692585154`*^9}, { 3.437697202774141*^9, 3.4376972044772654`*^9}, {3.437698404180391*^9, 3.4376984247585154`*^9}, {3.437698507649141*^9, 3.4376985285397654`*^9}, { 3.437698565336641*^9, 3.437698569961641*^9}, {3.477262169810461*^9, 3.4772623517684517`*^9}, {3.4772623954643803`*^9, 3.4772624435252123`*^9}, {3.477323321771288*^9, 3.477323370674499*^9}, { 3.478397470023759*^9, 3.478397472754965*^9}, {3.478397773861611*^9, 3.478397775785307*^9}, {3.478398410007292*^9, 3.4783984105227947`*^9}, { 3.478398478236308*^9, 3.478398489868759*^9}, {3.4784422076915903`*^9, 3.4784422224943523`*^9}, {3.478442413138453*^9, 3.478442459404447*^9}, { 3.478442538526105*^9, 3.478442556787314*^9}, {3.4784438419772367`*^9, 3.4784438505594387`*^9}, {3.478444154816379*^9, 3.4784441658069067`*^9}, { 3.478445395864059*^9, 3.4784454134782743`*^9}, {3.478445462067635*^9, 3.4784454705392*^9}, 3.481061805483129*^9}], Cell[TextData[{ "\tThe most simple of these categories is found when the pursued runs in a \ straight line. These problems can be solved using differential equations, as \ described below.\n\tLet's examine, \[Alpha] and \[Beta], on an interval [", StyleBox["a,b", FontFamily->"Times New Roman", FontSlant->"Italic"], "]. We'll call one curve, \[Alpha], the pursuer, and the other curve, \ \[Beta], the pursued . Our curves are arranged in such a way that the \ velocity vector of the pursuer, \[Alpha]", StyleBox["'(", FontFamily->"Times New Roman"], StyleBox["t", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[")", FontFamily->"Times New Roman"], ", points toward a point t, which is moving about our pursued curve at any \ given time where ", StyleBox["a < t < b", FontFamily->"Times New Roman", FontSlant->"Italic"], ". Simply, this is a pure pursuit problem.\n\n", StyleBox["Definition(3.1)", FontWeight->"Bold", FontVariations->{"Underline"->True}], StyleBox[" ", FontWeight->"Bold"], "The speed of each curve is related to the other by the equation " }], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.4364493699300003`*^9, 3.43644937346*^9}, { 3.436449457052*^9, 3.436449463067*^9}, 3.436452087344*^9, { 3.436452197724*^9, 3.436452408336*^9}, {3.4364524604960003`*^9, 3.436452471665*^9}, {3.437578544625*^9, 3.4375785446875*^9}, { 3.437578748796875*^9, 3.437578933*^9}, {3.437583918078125*^9, 3.437584008125*^9}, {3.43758617425*^9, 3.43758617425*^9}, { 3.437591380875*^9, 3.43759143434375*^9}, 3.4376788010094*^9, { 3.4376795284986*^9, 3.4376795660634003`*^9}, {3.4376834151102767`*^9, 3.437683480326105*^9}, {3.4376837263775816`*^9, 3.4376837401894627`*^9}, { 3.437684454283877*^9, 3.4376844554244585`*^9}, {3.4376855984921145`*^9, 3.437685756158944*^9}, {3.4376859139195204`*^9, 3.437685915060109*^9}, { 3.4376865159017515`*^9, 3.4376865552444944`*^9}, 3.437688101444374*^9, 3.4376923156448135`*^9, {3.4376968509147654`*^9, 3.4376968692585154`*^9}, { 3.437697202774141*^9, 3.4376972044772654`*^9}, {3.437698404180391*^9, 3.4376984247585154`*^9}, {3.437698507649141*^9, 3.4376985285397654`*^9}, { 3.437698565336641*^9, 3.437698569961641*^9}, {3.477262169810461*^9, 3.4772623517684517`*^9}, {3.4772623954643803`*^9, 3.4772624435252123`*^9}, {3.477323321771288*^9, 3.477323370674499*^9}, { 3.478397470023759*^9, 3.478397472754965*^9}, {3.478397773861611*^9, 3.478397775785307*^9}, {3.478398410007292*^9, 3.4783984105227947`*^9}, { 3.478398478236308*^9, 3.478398489868759*^9}, {3.4784422076915903`*^9, 3.4784422224943523`*^9}, {3.478442413138453*^9, 3.478442459404447*^9}, { 3.478442538526105*^9, 3.478442556787314*^9}, {3.4784438419772367`*^9, 3.4784438505594387`*^9}, {3.478444154816379*^9, 3.4784441658069067`*^9}, 3.478445395864059*^9, {3.478445481344323*^9, 3.4784454856747704`*^9}, { 3.479328934565884*^9, 3.479328935055122*^9}, {3.479329183534938*^9, 3.479329254234766*^9}, {3.479329320154372*^9, 3.479329371717856*^9}, { 3.479329423608117*^9, 3.479329429183667*^9}, {3.479329899583737*^9, 3.479329928610301*^9}, {3.479472674952496*^9, 3.479472681759303*^9}, { 3.480032753859851*^9, 3.480032774095645*^9}, 3.4802654099970093`*^9}], Cell[TextData[{ "\n", StyleBox["\t\t\t\t", FontColor->GrayLevel[0]], Cell[BoxData[ FormBox[ RowBox[{" ", RowBox[{"||", OverscriptBox[ RowBox[{"\[Alpha]", RowBox[{"(", "t", ")"}]}], "\[RightVector]"], "||", "="}]}], TraditionalForm]], FontColor->GrayLevel[0]], Cell[BoxData[ FormBox[ RowBox[{" ", RowBox[{"k", "||", OverscriptBox[ RowBox[{"\[Beta]", RowBox[{"(", "t", ")"}]}], "\[RightVector]"], "||"}]}], TraditionalForm]], FontColor->GrayLevel[0]], StyleBox[",", FontColor->GrayLevel[0]] }], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.4364493699300003`*^9, 3.43644937346*^9}, { 3.436449457052*^9, 3.436449463067*^9}, 3.436452087344*^9, { 3.436452197724*^9, 3.436452408336*^9}, {3.4364524604960003`*^9, 3.436452471665*^9}, {3.437578544625*^9, 3.4375785446875*^9}, { 3.437578748796875*^9, 3.437578933*^9}, {3.437583918078125*^9, 3.437584008125*^9}, {3.43758617425*^9, 3.43758617425*^9}, { 3.437591380875*^9, 3.43759143434375*^9}, 3.4376788010094*^9, { 3.4376795284986*^9, 3.4376795660634003`*^9}, {3.4376834151102767`*^9, 3.437683480326105*^9}, {3.4376837263775816`*^9, 3.4376837401894627`*^9}, { 3.437684454283877*^9, 3.4376844554244585`*^9}, {3.4376855984921145`*^9, 3.437685756158944*^9}, {3.4376859139195204`*^9, 3.437685915060109*^9}, { 3.4376865159017515`*^9, 3.4376865552444944`*^9}, 3.437688101444374*^9, 3.4376923156448135`*^9, {3.4376968509147654`*^9, 3.4376968692585154`*^9}, { 3.437697202774141*^9, 3.4376972044772654`*^9}, {3.437698404180391*^9, 3.4376984247585154`*^9}, {3.437698507649141*^9, 3.4376985285397654`*^9}, { 3.437698565336641*^9, 3.437698569961641*^9}, {3.477262169810461*^9, 3.4772623517684517`*^9}, {3.4772623954643803`*^9, 3.4772624435252123`*^9}, {3.477323321771288*^9, 3.477323370674499*^9}, { 3.478397470023759*^9, 3.478397472754965*^9}, {3.478397773861611*^9, 3.478397775785307*^9}, {3.478398410007292*^9, 3.4783984105227947`*^9}, { 3.478398478236308*^9, 3.478398489868759*^9}, {3.4784422076915903`*^9, 3.4784422224943523`*^9}, {3.478442413138453*^9, 3.478442459404447*^9}, { 3.478442538526105*^9, 3.478442556787314*^9}, {3.4784438419772367`*^9, 3.4784438505594387`*^9}, {3.478444154816379*^9, 3.4784441658069067`*^9}, 3.478445395864059*^9, {3.478445481344323*^9, 3.4784454856747704`*^9}, { 3.479328934565884*^9, 3.479328935055122*^9}, {3.479329183534938*^9, 3.479329254234766*^9}, {3.479329320154372*^9, 3.479329371717856*^9}, { 3.479329423608117*^9, 3.479329429183667*^9}, {3.479329899583737*^9, 3.479329928610301*^9}, {3.479472674952496*^9, 3.479472681759303*^9}, { 3.480032753859851*^9, 3.480032774095645*^9}, {3.4802654099970093`*^9, 3.4802654188891487`*^9}}], Cell[TextData[{ StyleBox["\nand\n(2)\t\t\t\t", FontColor->GrayLevel[0]], Cell[BoxData[ FormBox[ RowBox[{ OverscriptBox[ RowBox[{ RowBox[{"\[Alpha]", "'"}], RowBox[{"(", "t", ")"}]}], "\[RightVector]"], " ", "//", " ", RowBox[{"(", RowBox[{ OverscriptBox[ RowBox[{"\[Beta]", RowBox[{"(", "t", ")"}]}], "\[RightVector]"], "-", OverscriptBox[ RowBox[{"\[Alpha]", RowBox[{"(", "t", ")"}]}], "\[RightVector]"]}], ")"}]}], TraditionalForm]], FontColor->GrayLevel[0]], StyleBox[".\t", FontColor->GrayLevel[0]], "\nwhere", StyleBox[" k", FontFamily->"Times New Roman", FontSlant->"Italic"], " is a positive constant which we call the speed ratio and (2) illustrates \ that the pursuer's direction always points toward the pursued.\n\t\n\t\ Naturally, we are interested in where the two will meet, or when the pursued \ particle is captured. This point, ", StyleBox["p", FontFamily->"Times New Roman", FontWeight->"Bold", FontSlant->"Italic"], ", is called the capture point.\n\tThe capture point, ", StyleBox["p", FontFamily->"Times New Roman", FontWeight->"Bold", FontSlant->"Italic"], ", is a point for which ", StyleBox["p", FontFamily->"Times New Roman", FontWeight->"Bold", FontSlant->"Italic"], "=\[Alpha](", Cell[BoxData[ FormBox[ SubscriptBox["t", "1"], TraditionalForm]]], ")=\[Beta](", Cell[BoxData[ FormBox[ SubscriptBox["t", "2"], TraditionalForm]]], ")." }], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.4364493699300003`*^9, 3.43644937346*^9}, { 3.436449457052*^9, 3.436449463067*^9}, 3.436452087344*^9, { 3.436452197724*^9, 3.436452408336*^9}, {3.4364524604960003`*^9, 3.436452471665*^9}, {3.437578544625*^9, 3.4375785446875*^9}, { 3.437578748796875*^9, 3.437578933*^9}, {3.437583918078125*^9, 3.437584008125*^9}, {3.43758617425*^9, 3.43758617425*^9}, { 3.437591380875*^9, 3.43759143434375*^9}, 3.4376788010094*^9, { 3.4376795284986*^9, 3.4376795660634003`*^9}, {3.4376834151102767`*^9, 3.437683480326105*^9}, {3.4376837263775816`*^9, 3.4376837401894627`*^9}, { 3.437684454283877*^9, 3.4376844554244585`*^9}, {3.4376855984921145`*^9, 3.437685756158944*^9}, {3.4376859139195204`*^9, 3.437685915060109*^9}, { 3.4376865159017515`*^9, 3.4376865552444944`*^9}, 3.437688101444374*^9, 3.4376923156448135`*^9, {3.4376968509147654`*^9, 3.4376968692585154`*^9}, { 3.437697202774141*^9, 3.4376972044772654`*^9}, {3.437698404180391*^9, 3.4376984247585154`*^9}, {3.437698507649141*^9, 3.4376985285397654`*^9}, { 3.437698565336641*^9, 3.437698569961641*^9}, {3.477262169810461*^9, 3.4772623517684517`*^9}, {3.4772623954643803`*^9, 3.4772624435252123`*^9}, {3.477323321771288*^9, 3.477323370674499*^9}, { 3.478397470023759*^9, 3.478397472754965*^9}, {3.478397773861611*^9, 3.478397775785307*^9}, {3.478398410007292*^9, 3.4783984105227947`*^9}, { 3.478398478236308*^9, 3.478398489868759*^9}, {3.4784422076915903`*^9, 3.4784422224943523`*^9}, {3.478442413138453*^9, 3.478442459404447*^9}, { 3.478442538526105*^9, 3.478442556787314*^9}, {3.4784438419772367`*^9, 3.4784438505594387`*^9}, {3.478444154816379*^9, 3.4784441658069067`*^9}, 3.478445395864059*^9, {3.478445481344323*^9, 3.4784454856747704`*^9}, { 3.479328934565884*^9, 3.479328935055122*^9}, {3.479329183534938*^9, 3.479329254234766*^9}, {3.479329320154372*^9, 3.479329371717856*^9}, { 3.479329423608117*^9, 3.479329429183667*^9}, {3.479329899583737*^9, 3.479329928610301*^9}, {3.479472674952496*^9, 3.479472681759303*^9}, { 3.480032753859851*^9, 3.480032774095645*^9}, {3.4802654099970093`*^9, 3.4802654159478197`*^9}}], Cell[TextData[{ Cell[GraphicsData["CompressedBitmap", "\<\ eJzd3QeUZUW1BuBDd093zwwMOaskAXPOIGbAAKIo5oCIiooRc46YFXMOKGDO WcwBA+aAARURA+aclXe+OvXfW91z73TDW++tt95ZXG6fUGnX3v/+9646dw45 8rh7HH3skccdc9SRux/0gCPvd49jjnrg7gfe9wH9pdnNum6zc/vPfrt3/j6v 6/K/8/r/zvuF/7ly/v7eq3yt6f797393v/nNb7rvfOc73TnnnFP+Ls99Yulz v//977vXv/712u1uc5vblL/b5/YuX7Pd5ptv3n3mM58pZ5Pur1u3rvvwhz+8 yfuf+MQnNrq/tnxt6P7zn/90b3/727tXvvKV3Ve/+tXuj3/8Y/l+0Yte1L3n Pe8p53/605+6D33oQ93znve87gtf+EL317/+daYO49e//nV57ElPelL3hje8 ofvtb3/bLZR7892WW27ZPfe5zy3d04Uzzjij+9e//jVbbm/b/e1vfyu3Xv7y l3dnn3129/Of/7x8a+GXv/xl9/e//71I8bWvfW138sknd6effnq5prRmTz31 1FLtV77ylW6oc6vuH//4R/exj32se8lLXlLq+tnPftb95Cc/6T7/+c935557 bhmtJ83SmWeeWdp+4hOfWO73XRtGtb40/4QnPKH73Oc+133zm98sRT/4wQ92 P/rRjzxWBPKud72r+8AHPjAI9amtUHcokrjmNa/Z3fe+9+3e//73l/o04Xj4 wx9epEQBnvOc55Rrn/zkJ0udSn/rW9/q7nKXu3T3vOc9u5vd7GbdYx7zmNLW 9773vfkq2G222aa73/3u173mNa/p3vjGN3af+tSnjGTo/ZVKD7V6+9vfvnvQ gx5Uavz4xz9earz73e9eRmFav/71r3cXvvCFu4MPPrg8309rqeEVr3hF6dlb 3vKW7r3vfW/32c9+tlwnPEK/wx3uUJo3n+o1yiOPPLL7wQ9+0P3zn/8sz5qA e9/73t3tbne77ha3uEV34okndm9729vKPe3c4AY36K5xjWt073vf+8roX/3q V3e7775798UvfrE8o29bb711t//++28s4NkiGM0OZ4NUNttss1Fxn1/84hdk O0hlrqjOk5/85O4yl7lM99Of/nSmltW4aR7Uebi2fv367t3vfnc5m6m1P+Qh DxkJ4ne/+113t7vdzYCG24vF1G94wxt2Rx99dLliDnxf73rX617wghcMfVxb xErv08dddtmlfP/5z38uRc1metZ3srvpTW9aRBjFJOL99tuve9zjHjeyhb/8 5S/FRjRp6vbZZ58yVUOZhaIla9asGbWpXspN5JNke6tb3ap71KMeVeqIbB2n nXbaqA62NZLtbLEPWkFjZus13dE1GhHBAqOPfvSjSwT7pS99qXvwgx9czkhx zz33JOBUc//7378o7bjIbHfta1+7e9azntVcW1tmm1VTdlK7+tWvPkIKUobD s1UiD3vYw0p3M5qTTjqpu8997lMMY7aqS4yBrfUAl+4Al7Vr147h9JkbC+8R j3hE6co04f34xz9uhfftb3+722OPPYpJrp+A6hFUDwDlurMf/vCHpdpewDON vA2CYs42gnr2s5+9RFCw5/rXv353r3vdqzv88MOL4BpzKXOWOo3C3BBWrt3j HvfoHvvYxy4xGN2HBu0k6f4FkRT4j6TOOuussaQWyynQgPpsll/0+Je//GXe Y75xmXCpFd473/nO7hKXuMSo1rm5uZWEB6Ke+tSnLhHeVa961e6BD3xgaZmg 4k8AvIMdTxfeumK3HAB18FEP/8W3eQLY94iULgCnTcnwjne8Y3f88ccvgUEj e/7znz+SISS+yU1uEhnq9Utf+tLiy7kcbshUUYdeuefqvLJacOdABTjWmWaW Xve61420psoyfp3LIcd0gGJc5CIXKW7AgDhNCEo5yS1wmYGQYRRxqHNDwaPW Yr/xjW8UDCNDCs1an/KUp5Q5JHcm1s9f5HjCCSd0GzZs2EiOC7V6zb/1rW/t dtttt+J1aMpOO+00stqZmZmiQR/5yEdKVx760IcCi+AJlsHlkyNHCpte9apX db/61a+qiWzdfe1rXyvTxaEiTAQI2UlKj2kSp+pQLlr1whe+sNt5552Lgx0m YLviBWDiy172slLXVlttVdqHfRgN0qUu95TguxyRNkykFmalN8MI2Wjf8Y53 FPN605veVEYK76LkhoaIQRSW69h1112LQAcw7vXL1+ZlBGzlWte6VnHxQN+c l4f6g/U6x+966a2pWveHP/yhaJQP2kYV5qsAzZFqTbVv9wk1vEkvv/vd7xZ/ Eu/LRXJVaIHvCJDA1UHFtGHkEbp6IYSuhc2AXiaaelkDFVNv/2xMz2WyTfcw 2r5bs3V0HK+aTR8VKRrZCC9WzSGQv6qiwa0POXgFdFhX78cwWlSeVM80pN7y ArS9od5HoTLRKYMl8BzignbcaefFL37xCAgPqtfM5p3vfOduCNLGZf47odr/ xN8HVnglb0wfmuC7bIYvEmz0qvDuqikUk9eCecAJsPT+/0dDZTeo3gI2w2r8 hFGyovg8VkX9eja5Q5UVfXGLRr+0UUmaesUrXrG75S1vWeaj7+OShmaLC4J9 +NdcvabUM57xjDIjQwsF5UscxDP0tvGy+ugRRxzRPf7xjy9nZy+tGeSoxTym ZlQMPQNfO9Vrhx12WJGbs5fWa9jJox/96GKtZ7diXlvkJyjC5HBeqKeZq1zl KiWcYbw71mpMCTA/5ZRTupc1VYv7mh4vVJwxRuTf7UMPPbTba6+9ilsJb0W1 L3vZyxYaAKeM8LjjjitxhSBacwNm7VTwgjvso5jSTTJl2Sj8McccU5CAVYie 99577wLcpAMl0AQQ+sxnPnMU+uLXULmPKLjAoZltCuzB80tf+tIF63lH13Tx 8pe/fPFFuqUaVE1zJEa3OHdd658fMGKLomJGo5h4D1DrBX2GiKCNHXvGyD2f AIdKcnO86LHHHltGRwo3v/nNiw2zi/nqNik9as6zwirx6Y1vfOPy/Fw1Abps NkyqqFgcaSgIMDLFgPoAZ7G6ME7AiC53ucsViGV2FLYnQMXb6p5JQ5CucIUr FPXqHUOyGeby6U9/erftttsWwTHRZDP0igTMHQSDVr2/itB0EiBSYgMz8Kc9 7WnF+HWYiZlyqkD+NDQG4VlpBs+FgHGF1GG77bbr9t1332LYC425UiPgMlMy Mwsj7xpdoKJHHXVUCXkXah9JB58gHU6cdLAxQpcsYKSkQ70MHxudobSRj5sG RT4QRUcin9ve9rbdda5znSJStsPcetc+jGfbMnHGAoDkK77//e+XGQIlxu0b 0F/3utctliwWizuGkNgePTXOQdm2L9EyJ0rmHBIXr+ynP/3pkes2ZrKTY6OU MVuKRYZYKPzCx8ah6talnJzcpS51qTKf6g5f8wRNkoUAqsajXwyGyTJ5ph7O LZmhn2TPhKkVO2U4fT/WVHuQhqNVpsa0kbQhcwML1R5ML5ujhZ4zAxBLV0me 8vf8YbFKCDkyar3mwvUKedVLVXMZNFQwxkSZeygD10HDaCyGqWvuLVQSRXsE g5SBfSFJoYoojChcWyikdpPHw46YOy295CUvWcy692YxhqT9FJmrumViTIK4 VVcoTj+0+arXBMBH8ghGwCLI3F3Cc93cARE9wpN3bFF/YZS2RdkMWARAjQgw 0+ggkAxSMw7nffmhNzuXOOTAAw8caU0IKtAwZnJVRC9SHLjogiYdZOk5qGCa nXPOrFU8FS1NDOrgoJQhLGiUuj1JmKBSm8615blxnmhD0WhRoHyROaIbcNIh wqHhnte+Q9967U1oa2g8AqfCIBgdhfdN6albP+0Bf4fLXCBnIvlnzkpA6ZmZ 0sm13ZWudKXiC82MosRLpXSJF8AihlncoUw0cBPFEH1AUS5WIgmoOgc+DtYT Tk9RHMAZIyYOnqnv93y1prve9a5Fq7kBeGVWkqXhZeCIb1YCv8RgrA/WyO6Q nrhbho71UPWoPW2RbSD5xJVmyMHR0WtdwvvUsabqPtnBbkMyBNrG0oEB7NRG NEQdgpD4A4DDCy4XF3B5wAMeMNJcfXWYn5kisAFfWLGsK7DSf/xCXT0NyjQD Ft2jNJo2vZIilHnQnEsWcUoOUH4KzfqFu2ywFZ1yBxxwQJl1iq40t4JT6D6R g4EkRmkDokcb1WsYgBAFMjR1e46bJQaUSB+4EyJGo8rEb799SdxiB8O4dina uLCwUEJsYMdwpKaUMQ2e0jYuREzOsbr5+fmCGzHMmkgtrgP+hC9DuV5e8xV6 UCOe0QxmXUOzNGZkVOvL1EgwSBNSCOcmhUN3Turu+zs2g7SwKRDhvqugRM5D j53rGZim/KwyjpVTdU3ygUFw7khDPwNrqs3wdfw+78FHC9ldYztGgs7G39M/ tMHgTR5Bxo87xECUoQ0kTAy0m62S0i0866CDDirKwBZ0CyXpJTVXwU5T5sIt qKApEoAmyW1pOiZPd3qzrl4jETYCgPOYjjaHGZj1oc1dMiOzhRQT5XA2FEGC jTdFagYst4snnJsb6TVR9dQhIb11A+xoeHjcCZOcGq3ojWpcU0YDVAjIx4Qk 08CYaT8Qa1c3SgRe5923ZQxH/92uWDAw/CfV6YUO6/xiBQVqE/9M2Be60IXK 39Q1I7BwktS1D5Dojb7NY+RWstAclwBQNYFQxCSJxbbX5j918VJWHZzlmvuE Nqbks0VXJIXRziwTBEPgXN/FaCE/nS7GYLDNK1/5yrqXHvNL0BFQzzaj2GGH HZb0Bloh53rTChYseD48iWKx5WiKo0fL6F74KcWOgG50oxuVIhGQJhyMIk1R B2HwNAFlOECcPY+fmy+EietvF8R6eImgdMkaZKtZ4IBl9YJL3h1HZWSjKV+z ZnRu2U0rGREEwUnzLPMhGCnLGAD0cd0Z5kG7FiqIGjle6xlX2BbiGQ31zeZ4 yEiDWuF3MDnXuCuJg1ZqrNzyxMhWZ0rQszBytfkwC9kEMolJMBkDi+9jxT27 St0iETM1xoGBsoouW/EqJj3XK0mWCHVVP9I6D2iiOPMoAf1LjjTXVIlQs4qI Nr1DLsLb0kXezQhYUpvZDLeLpTEfxMl3nqNsrFkYkWucSdavco2jAf4twFIf 3hjfc0Xw1QfHOy9FczkoCWuK0aJ5oMqnkvZYFIYH8caQM1+y9QSXIvRphL2z 7erTCEX4CIYogdPLeaFpXMCXmkxBl+WwQWdgERqdWeMO9TESx5eyGpRrWWCZ dK1dwMLc+b82VRElGnowzDjYx/61j9uA8wgIaZE7Ggcac6PA0tFrSLIaJhaF cju2LDOBkKfZdJMipptAVLOjCZ/xeDpsduASrhCcaic1tWR7RnsNrRF+jHn6 mhKvIAR4OHVi+Xme2lH7pT3JxPNmsg1tYEtPKHVWZhy9fUZ6sB0Zb0UiiOWj Mwu0wIFlpikR7MYiyfDbvGpgGkjgsLHeWmMqRLED0xkt7kkS484tFjtAt2Gc 9brWEfV4nTEQXgvRWHcgd65qSabcIlXvOhcb5OZPwAHHDaZSrXwXi4zHZWJQ WaQ6aQEk14hqiy22aJBztrvTne5UEi3j5ekhTyclbMR5jg4Yytg1zxUDRAuR kb7thabpTHRsmG1h67rqiuY0K25I97B3TsgMR60zxHYYiWDBROYaG5f64PJb ZwWklqNw2H+Q3OTJJ4WhYBypg2ZyqKNwfUqfHKL1cb0LBS9s3pHWcwVdFO9R np1WB8kJzaZAMve8akheuwSSozc2LwkQxNcGvrg6TNYxmpwYUBLFHICSyATI iTlbOQlrpmFyuyNDno+XcLZVvQaSjFpcu1gNscVdV7JhRGLq5JNPjrBgrqUY Uz0NczW/HHMdse0sW2YdhnVsCmmzrWA50uLGygZpJeKpGNHIsrSuKf0ZBjtc E9Cog5UGX5O5yIxNwdd2+MvxNbPQ4ms7/KjqJFRFkh3Rhhp5pBqOexKq0vqx wa4p9AgMyulztJpuJRH6lGYlJVp4RSR7LAoOqSqcYbFCVrZO3frWtyaBFlEl zlpdWI6o/Bf1uiCImk1HnNh81aYWUePgwKH6RPGyBovN6FcDqSCmhVQSfuQj H7lEf7WHQ7dMQTRDJMAkZdVrPXE5fIK1Fj7FJ3LqshZ01fOpAyuRpWjbD3S3 UKktz1LKCwiVHGUUoeY9V4JK7jlFqP0IKteVCZudnR0JV/wmiR/eQFH6v6cx 2JqHyFRhgXh+O1UiaR2LqHCZhDWT0HLo2eZLVMGHGhmcSEpIKM8hzEPQem+2 ts4S2p20MBcxJq/zBSxbEHX0SJRepNhQ0VJAXU5ireXk2fSeLCMJEwyN4Lue AkRpLUtEqRtFZbfjrYxzo82kFWijj5MwVuwJQcaBx3wBNwnzCPjNb37zeD10 oUThIF1v9ErvgAuPHq/P43GS1DuwS03lJiKhVdJaiB8hVRfdbIJZKPx6mpCC MnJL2YsQPIRGYoCW3K4Aw/wz1Rjve1tT6Fw2BAYMp8Pw2o1g2KTYttVq5EzR x7lRMkOapR9i7MdU49FJM1n46hlvBELGbKXd1o7IiIvTM9mUpZuZZwskTYJn cfHYpoZY2jX1zlcEAK82xQaedclkJjXi2RECTEdoEUJbBN+Cvkk5Wkbi/a0Y +hCWYZisvly0j5v0KGAJ8IaH8sbUYTXgnd2rw7Uty/zI+zuTvgSJSUW7J2Oi S5lHK0WCJPXX5avjjz9+rg6YZxU4yL2fDxiPvAQADpqQqea9EOjYlJ0wPPV4 EPNlS4+gLgrIe/ZCSbWcNrE7omDkSJ6RF+uH0mNNGUC9vNZSq0XORqC+vtzS M/lOV4QO4I/6I0IgC0RKS8w14J3qfFBoB0tm5bphGtTZW396B65glDWOALqg kII5ozjoStZHzI6ZlP5iFxFmFsv8TRK4XBSYz8Cmx4JdKJN0yCGHjKSgeyZk TMyGSAB9atECorCXUB1iaRP/FtNigw51DG1uXf5uxYQGCTLZMXHrAw10z/h3 3XXXkSM3NvQ8chNEiwpbTJBGzZaoWBfKZOwt9Yb9jmHzydiCsni40MxN0qaR G5mxg6yIWW0htzYhLVzIWxSZD3KT2UpowMLZEnQFGuO9nYN2tgsHlX9ndzKR ZL3Bh2na60Jcgl2QJ13II2Yzou6xo3YHK7BPl4kEJLZdBvKmI87AOTZoaqiU gzhotAUKw477pCqmK8tvgv+rXe1qgUbZEhz+4he/+GjPnCpp8citzY/gKx/o 0F/L/EiJk914h8PsKCtnMTcruEIoWGVRLjxNAgXTSTmmnB338SetrsYm6J2j vDd13rAiCrjKemMthyoTCEHlmrABLxwvNqwr6CUzkTb0gV1jVbx0pe3ZK2R+ 856PD17nsB7Hr1gDCQQwQWv0/tYkgIugqS71wtTTPZEnUeIqMZ2EfoLzdhkH GUSYcw3C6YOzVbgCiGWeMXk47WChbUqKdXAZgqBhHhaKWrtrqZHlyBuzKkNN l800X0YM4TxmmuqjT1AGdw0fNdwcc+X/60ts0Cqd51k5PqW/OBGabYVrppSZ L+IMFYAaErqjkGPz4ppZQNJG1n5Yn5kBnizFbJJkH5eurwjGIjhMR68r2UBF hQlAljIUhlCF/CItwuwjlozRLerBvAdZLo7QifnSNJBC23Sul0lACiullBgr MWMuSc+gCyiEwxoRhDFGR7O0SzKyOqQ6UxXZoxRS5EU0XCmlshPCJjMHLsfN hjgg12EvFFm3ABIeYsYXarcAHnFiNVJA/EGzB2CY5NlyKxMcEmVEQrmBCQyC 4sXdpWjcLbkzY4Lqq1uzCUEFfegPnTBiTJmQJHlAdfAQsDmyZZAt6OKOO+5I etn0TyBUT3WCQ0u+Fr2gtXfhUHNOMBt989ZEyARVgBKQpKeQw8C3KIGKasnN IPUwbDI7Z/nu7BZjAfNVRwUy1s7M2znnnBPk5jconUdRAly5N8TIi6JDb+GQ w0CC6pBaYsHsztTpIq9kAfKchUqtizti6wYuouCm2CrBxA6YCpY/1DhgijsQ XffgkWSJLVC6HVfGM9Mw3kKUiPH03jgv3oAa6dHeu5XtNLwgnshDQ9TQUgFL thD3ChxbkOpjRngYe3CoAsdw8Fm0S+9sogUdeSnGyEmA1pkzU8t3hJtBJFqG Q0Iw65yU3F0IS9KzVR52DyXNsf10EN+6XmN2ApPWfuRdUn12rlfqUs5uXK8R pubarQDMPynLg5uyjKeddJNAGcYZgNkCDdkgcXS9xjomhYd5TfPCTRt54zaQ xVq4YUaYvjDGvK27CR+3Tb2myuUJxTaDXxfOewnkzRGaJSXp7Br1GryjPuYq z5mjWMJMI7yku9NhUMBCBnyZXhZcRPAR3kqpz83rNZOQ7E3emtEHnrltQ7tJ Z6Z/dFhSt0SzKwh0hiQy29x/xNiaNoOR7YqgGEVSxBEoQ7jYxS5WYCLP1WB/ SYflg5cLVNCDtrYCnVSWp1guUHvelgsUbkegeWcWMzMhgretqt4HP/IBV7Sz FSaKY2zozDJhghwxFrqRt2zomRwLY013DEOXZIi2rB0Nj03TAo3eAV61FoHv IIlT27a6A0pv06NivfQOrjXRgCTofNDIHr2SN8YwzQsAi8zI3jxzLHE25IPd QJ9ebhEb/2XvvlvpiDgW9xA796I6uEoTzOqv9FJgkGgMf7tBcmESbkFTUrDo jU4Lk8BZf2+72jgKxcMJCHauWkm5IZDtByQkjjmkdszufc8D5h6gb1iLmIv8 GgHbFXevrUXkxxTBgPuW79pIzS3OK45Vp1Efr+Igdsa1R60GHKBhPFU/iBs2 c0OxYZb0Zd0ruEwaTAxLNEXcmhU86sut9bLevvYJNVOhfuxc2xVncDUwv9fe Qxv/zdOZqRvVR3k6uS3hbM9+o8QE41Gjyeg5RColeRLvgD7lLZQ9Gxtl72zj RlVKHCdibd8Up0gr6nj/L7yJ97/y9yUbw09289QJ9016fuNh0n2BtjdM/r/e Z9f0ZNp9Ww7KL98su39+5iBv90xrg/+AI8394XdI1hWChFk4LKyGQ1Bx7Fo2 vjed+08f7VDT+hLPOjARFIhDgQccn0OWSzQGE++3QnUz4+h3tmzNdUj4PHCl fswW15HMS7vfI3HCJqoY9i0tFPZgV8151d2AmFUUDzfzAgR48EgyBH3RlBTI 5YcYask711sYdxjbYeXaXAnTZYiW1aJyMLdRLeNkeXZt80BxUnH50Dp7AdtV gOwCLgO/wlDvsFV77Shc50sctn/SF1AKjfU+2U5756fNQjEH16441D+8Tram 0BZ78cUsDtozU3o6uyRxda1anzB2eRvG6pBgatu4Z/laLOQfHFEmsRAOaVM+ cfbe44AqQkEaZ806zRfujoJS5swARx4R1hk4trZi/rRAQeQo+X5ZeV66n8/9 64B5OiklCQ67kuHAcbV2ichkaWvt96+1k7UlSxvzrA2Lr0W74r8eCt4xXUOP qzUYMU6CLMo1ISEIq870DP+t02t4aK0BR8cNBU/mjXWjrULZs846643Ta3hE rUG2gFvHVlB2+TWMgKh7onbK9BoeU+3MuJXA3cQwov6+xpOml3x8LYmFyOzI ITB2KwF9P06cXvJJVTGQInl4iTK6RHJkYJ/vKxvIN/tN8eProFFNNMxU+SYA LUlh9TqXl7NhZDLEtYan1w7IFxC+ZJdUA93BfYmzKPyth+efVYcqeQWQGIv4 Rkqo19ry6BHDoyfUR9EY7685UE6bv3p+Vh49fHj0ubUXYI0aiiawo7gQcHBC HQQyRsGaQbyw3kLEWfQ4VTY7SkX6PKNxXAbXVPHiegtMwuVhoXeoot2a+7Tp c/nyiqzCnhw9sd1EiVfVEgLCHLvtttvx00ucWE2cReVgcTDyCdOLnVQbAq0O Xr3XmcdNL3FKnbz8RIRD3k5iqBfzo6aXHGx0XdGKHPANnGcBGf7VX5B78PQ5 eUvtNX/kYJj9/CQ31O4SCXiSPdtpaikOfL6WyULEcl8UL89PjOau/n9J5n15 mVTMMS35NcFlFUv/La14riyywGfg1sdmIUN8anJpSxjE+lFCNgd4cIfNCDMt C4rkxMD5DTcGb726qS5QDtmEaqpNcp1fhJuSDTBUavnY6bP9wVpMqIac5HfV YMO9phc7tRbjDPVCmsRHnHnM9GIfqcX4TrQBREojiO/uPr3Yx5picrz27nvL Xubg6OnFPlGLQSIabI/PRS960ZIBOmp6sU9VtRWDYqtSBT2k3GV6ic/UEhbk JWQkUnrQCX0T68iNO9tQEd+KgLhSUkySlcsRu6MDvXWdPFR8Wh2BgQZkLLiw wzvW2mVsxOzj2gcTgOicJp7MXjkPGWQCLK+3DU18rlbDIdAVR1G9oGf7yl77 AoRUglWm4ZXA7gtVBiTmwKZ6Gdx7VNWa+gB0lmkx732Y8dqh+Om1ZiOL0Mdl k07i3fgUlloLZltgXshGoZNAZjp5PWvDRpWZLYedHrWyr9Q+oiwONKqnx0c0 U18Y5MT6LFg7LFrW+r5Wb6Ej8JQnuuUEPdqwkZQkaeEKZ9vPVq3v6/WulTGH bQg9jB6+qiqpG6HLsZxxxhm1ym/Wu9bpWLKn+iHfbJNV1hxS1iZ9uH7q5uB0 3KtNfKs2AVccvFjf68M23cRiCW/gEGwShEoiOuBuX31VvG/X2kVmFlo83ZOG Qzdd+zBpFJ4uynXhWn1r1fK+U2uVB3JXPqcXyyGbrPXNQ9nv1YcsC1mSdnaT eo2DQ9InFjyzPoRBKogKZnmD8wYiXMVGBb9fH0K5eSTri0kBGl8OIZYlty2W V/DDWkF+m9VZfqnITMZxxadKBGbhP/lEfk9qtR615rNqLfg0WmtLQKJBzDJH llDzCvAAk0PNWkJqJ9U8vGnK5rivvvT1zmflnrO8y5Z61KmVn11rkQhRMVd6 3UYgLLoViFAuu2KSQJaOzk+7Dju+uh/XW5iuzlgxv16dqCyrOtB3wDu8qdTl 9RNhrBDDy2cZJysREYoaT71Aj/+kSgKj0ykI23fmOrUEsI3K1hI/rSU0wIYY fI9J157uIn9eb1ESUMP7X2v64+c2I0BJEKUDpj+eFx0tK1s25uOuOf3xX9Zb XGf2ru4//fG82gm9zTPyvt/0x39TbxEj2HJ29XqtpQL18d/WW9IbJVrrz4aQ p/tdvcUZ5t37YZ9R9/t6C9XgL50NKzrdH+otiQmO3tmV6zW5lmzHr+3/sanJ OqjPlZruLsvS/mmADpg4W9IksafLT5fIX+otqyZWjFd4/K/1FgaT5Z3LTX/8 b/WW6CMbpS+78uM8rDUL7GsTj/+9AQKqxcVcZvrj/2jQh+KC8UtPf/yf9RbW Ln/m7FIrP07PoRLqsonH/1VvFcLb0zX7lZL8lUhalo34d2OjHgcdl6jXuPf8 Wnp9/D/1FtjwaHmnebiVHTA2NyHrzn629BY6Kozlqtpbm9X70miAAnbtW68l P9V04rxBHcf2rIyc1T71mphBrm15mWQ31S+4c7b3dFEuKcOK4AYnsFKZLCZT NV4Kwd1rhTJhlJha7H7PVZYRhclhcVIrlckCl4whv2Bce6xQJovUbDk7G3df ZRkGwf9zjCuVySIu9eEsmOtuK5TJwp4ju04uUq8JtAR/08rYfsWcgHzKoEro 0/Iy65t2GIazMyfcZ0TIKobS3t+8uS9Wd/a95v4WTf3nVXjdtV6TWpNIWd6n lMEi8hPfKYNEJ4PfltkwoZ1dVpBxysiVSkuQ10plsikCmGOOznZeocxWE/q2 0yrL8DHxsqstYxUkba1UJtuVJOYF8s52XGWZbH89P2WyegE7ViqTvULtD63s sMoy+TUb2JwyE5alSplt632MPz++vn3TjmX5aWXYpvV464HfaO5n8wPW4r6z r0+4b7eRcSDc7f20b49eFjbTJn8iFbK8TykjpSHcl9FKmQmLLaVMZCOpBDud bdOMfZKMU0YAaAUVbV6pTOaaP4OdzrZeZRn5kLwcudoycu/wyELCSmViI7CZ z3G21SrL5CcizfNKZYITotK8xrPlKstINAjrzk8Zm0KMx8bXlJmmB8E9GJ9/ iiH4yMdlg+ykMvJt0r2WfL7Y3A9m40b5HYDTJ9wnP/xj2n36Lkeq/vgGPnBZ jr6UuVC9L/MuxeYsPqrNeU0qY2Oa5Ei7g2+ajLM9kh/O5ob1qyzDNrPxbrVl rB3ST/53pTLx+e1rvutWWUZiOT93uNoyOGlWCVZbBn+nZ4KLlcqEKwkrs0oe ToUPJC86qYyQT71tGXmnvD46qYxAR45G3z7b3A/Ps6oeTnbahPtWbvLPyEy6 jzvgglaNwifZav7FjbZP4bCOvHsarssGJo09ZSwE5QcUUmaajNt2suS/2jIw xWoq3rFSmT2bdrIeOn8+ymQ37fkpk6W+81MmSwWrLRNes5oyezXt+MtnzX+j zDRe05axptmWsZAkN7u8zEUntPPJ/+H77etUSTxO6hMelHfsU4bu5b3utsze E9ppX5yfJONJZdrXuuCVWPnDqyzDjhx842rLwKZJZYIdfECwJ2WkT6TL22vm e1P14HvyD+PXBBaW9MfiuhwRHBSDtXW0WLH0h1+W1qGfYmtc1a6LSXVIu2Uu JtUhRuTHyMVzbR17Vo125F2Ccrcb/4tgyuPf8LUvP6m4vHb7Zuek4qayD8Pa 4oN1rSuP5+f3MJT8GoAeJaLqq9m46GLJQrWDzd/1p1k/upENLCzBzRHezM+X 8W38/PxIn9rnuyxDt+q4OOmx8s3F7rPPPhtr8OLoZ6Idkq0pUplWW2SfZgAU owXmgN7Gz88WBXMsLi6OlHsaSF6szmj7L6FNqvv/ys7ZaYmc3LfXKPsq2vvn Z+csWee3Pye1MY1ATRpDkf+MPN77J8wUM82MTpqpXLOZLWnK902ox+bOpb9E urCkHh/UHsXnptu+7FvVvrWqRgvSBavDuuFs4+LrCioZznIl8rcspgXa3r4/ sFHRtaPfVm2LAj9/A2+bWT64kc4uliV8BDdlJFnjpHt42bjIwuiHlZzZQ2tl y8YLuP6h5vmLV6EE6Ow8ctjM1Nex8aNrCnh5Vy+pF5sPW+1ILp0wHObiwxPu 52Vwi7GTLDC7hS6Ihk/4u9vsvwCvkFcI\ \>"], "Graphics", GeneratedCell->False, CellAutoOverwrite->False, ImageSize->{293., 188.625}, ImageMargins->{{94.66666666666666, 0.}, {0., 34.25}}], "\n\t\t\n\tFor the pursuer to be travelling faster than the pursued, the \ speed ratio, k, must be larger than 1. However, we cannot necessarily assume \ this for the mathematical analysis of the problem. \n\t\n\tWe derive \ differential equations for straight line pursuit curves in terms of \ coordinates", Cell[BoxData[ FormBox[ SuperscriptBox[".", RowBox[{"[", StyleBox["3", FontSize->8], "]"}]], TraditionalForm]]], "\n\t \n", StyleBox["Lemma(3.2)", FontFamily->"Times New Roman", FontWeight->"Bold", FontVariations->{"Underline"->True}], " ", StyleBox["Write", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman", FontSlant->"Italic"], "\[Alpha]", StyleBox[" =", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[" (", FontFamily->"Times New Roman"], StyleBox["x,y", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[")", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["and", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman", FontSlant->"Italic"], "\[Beta]", StyleBox[" = ", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["(", FontFamily->"Times New Roman"], StyleBox["u,v", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[")", FontFamily->"Times New Roman"], StyleBox[", ", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["and assume that ", FontFamily->"Times New Roman"], "\[Alpha]", StyleBox[" is a pursuit curve of ", FontFamily->"Times New Roman"], "\[Beta]", StyleBox[". ", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["Then", FontFamily->"Times New Roman"], "\n\t\n(1)\t\t\t\t", Cell[BoxData[ FormBox[ SuperscriptBox[ RowBox[{"x", "'"}], "2"], TraditionalForm]], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["+", FontFamily->"Times New Roman", FontSlant->"Italic"], Cell[BoxData[ FormBox[ SuperscriptBox[ RowBox[{"y", "'"}], "2"], TraditionalForm]], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["=", FontFamily->"Times New Roman", FontSlant->"Italic"], Cell[BoxData[ FormBox[ SuperscriptBox["k", "2"], TraditionalForm]], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["(", FontFamily->"Times New Roman"], Cell[BoxData[ FormBox[ SuperscriptBox[ RowBox[{"u", "'"}], "2"], TraditionalForm]], FontFamily->"Times New Roman"], StyleBox["+", FontFamily->"Times New Roman"], Cell[BoxData[ FormBox[ SuperscriptBox[ RowBox[{"v", "'"}], "2"], TraditionalForm]], FontFamily->"Times New Roman"], StyleBox[")", FontFamily->"Times New Roman"], "\nand\n(2)\t\t ", Cell[BoxData[ FormBox[ RowBox[{"(", StyleBox[ FractionBox["dx", "dt"], FontSlant->"Italic"]}], TraditionalForm]], FormatType->"TraditionalForm"], ", ", Cell[BoxData[ FormBox[ RowBox[{ StyleBox[ FractionBox["dy", "dt"], FontSlant->"Italic"], ")"}], TraditionalForm]], FormatType->"TraditionalForm"], "\[CenterDot](-", StyleBox["y+v, x-u", FontSlant->"Italic"], ") = 0.", StyleBox["\n\t\n", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["Proof", FontFamily->"Times New Roman", FontWeight->"Bold", FontVariations->{"Underline"->True}], StyleBox[" (1) is equivalent to ", FontFamily->"Times New Roman"], "\[VerticalSeparator]\[VerticalSeparator]\[Alpha]'\[VerticalSeparator]\ \[VerticalSeparator] = ", StyleBox["k", FontFamily->"Times New Roman", FontSlant->"Italic"], "\[VerticalSeparator]\[VerticalSeparator]\[Beta]\[VerticalSeparator]\ \[VerticalSeparator], our speed ratio. To prove (2), we see that \[Alpha]", StyleBox["(t)-", FontFamily->"Times New Roman", FontSlant->"Italic"], "\[Beta]", StyleBox["(t)", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["=", FontFamily->"Times New Roman"], StyleBox["(x(t)-u(t), y(t)-v(t))", FontFamily->"Times New Roman", FontSlant->"Italic"], " and \[Alpha]", StyleBox["'(t)=(x'(t),y'(t))", FontFamily->"Times New Roman", FontSlant->"Italic"], ". Here, we must note that the Jacobian vector ", StyleBox["J(", FontFamily->"Times New Roman", FontSlant->"Italic"], "\[Alpha]", StyleBox["(t)-", FontFamily->"Times New Roman", FontSlant->"Italic"], "\[Beta]", StyleBox["(t))=(-y(t)+v(t),x(t)-u(t))", FontFamily->"Times New Roman", FontSlant->"Italic"], " is perpendicular to \[Alpha]", StyleBox["(t)-", FontFamily->"Times New Roman", FontSlant->"Italic"], "\[Beta]", StyleBox["(t)", FontFamily->"Times New Roman", FontSlant->"Italic"], ". Here, we can express the condition \[Alpha]", StyleBox["'(t) ", FontSlant->"Italic"], "as a multiple of ", StyleBox["\[Alpha]", FontFamily->"Times New Roman"], StyleBox["(t)-", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["\[Beta]", FontFamily->"Times New Roman"], StyleBox["(t)", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[" ", FontSlant->"Italic"], "by saying that \[Alpha]", StyleBox["'(t)", FontFamily->"Times New Roman", FontSlant->"Italic"], " is perpendicular to ", StyleBox["J(", FontFamily->"Times New Roman", FontSlant->"Italic"], "\[Alpha]", StyleBox["(t)-", FontFamily->"Times New Roman", FontSlant->"Italic"], "\[Beta]", StyleBox["(t))", FontFamily->"Times New Roman", FontSlant->"Italic"], ", which is equivalent to (2). The second condition can also be expressed \ as " }], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.4364493699300003`*^9, 3.43644937346*^9}, { 3.436449457052*^9, 3.436449463067*^9}, 3.436452087344*^9, { 3.436452197724*^9, 3.436452408336*^9}, {3.4364524604960003`*^9, 3.436452475421*^9}, {3.436453875233*^9, 3.436453910296*^9}, { 3.43757946259375*^9, 3.4375794743125*^9}, {3.437580019015625*^9, 3.437580041875*^9}, {3.43758018796875*^9, 3.43758022359375*^9}, { 3.43758027378125*^9, 3.43758038609375*^9}, 3.43758046871875*^9, { 3.437580679171875*^9, 3.43758074634375*^9}, {3.437581078953125*^9, 3.43758108028125*^9}, {3.437581110546875*^9, 3.437581114171875*^9}, { 3.437581149875*^9, 3.437581483921875*^9}, {3.437581536*^9, 3.437581537171875*^9}, {3.437582651796875*^9, 3.43758269109375*^9}, { 3.4375827976875*^9, 3.437582940671875*^9}, {3.4375839561875*^9, 3.437583960125*^9}, {3.43758402*^9, 3.4375840258125*^9}, 3.437584056734375*^9, {3.437584518984375*^9, 3.437584758796875*^9}, { 3.437585448046875*^9, 3.437585492328125*^9}, {3.4375859669375*^9, 3.43758604328125*^9}, {3.4375862404375*^9, 3.437586427578125*^9}, { 3.437586470796875*^9, 3.4375866528125*^9}, {3.4375869983125*^9, 3.437587072921875*^9}, {3.437587115375*^9, 3.43758726075*^9}, { 3.43758767409375*^9, 3.43758778525*^9}, {3.437588130171875*^9, 3.4375885786875*^9}, {3.437588635515625*^9, 3.43758887328125*^9}, { 3.437589542453125*^9, 3.437589735609375*^9}, {3.437589817609375*^9, 3.43758982740625*^9}, {3.43759128375*^9, 3.437591361078125*^9}, { 3.4375914385*^9, 3.43759144478125*^9}, {3.437591781796875*^9, 3.437591788578125*^9}, {3.4375972224849997`*^9, 3.437597235321*^9}, { 3.437597533892*^9, 3.437597538975*^9}, {3.437597619051*^9, 3.437597620686*^9}, {3.4375976608380003`*^9, 3.437597698433*^9}, { 3.43759784201*^9, 3.4375978432539997`*^9}, {3.437653553028*^9, 3.437653569652*^9}, {3.437655572648*^9, 3.437655572648*^9}, 3.437659823227*^9, {3.437659899148*^9, 3.437659902876*^9}, 3.4376792584625998`*^9, {3.4376793567426*^9, 3.437679361407*^9}, { 3.4376793974742002`*^9, 3.4376794150242*^9}, {3.4376794885158*^9, 3.4376795206518*^9}, {3.437686805081848*^9, 3.4376868422371473`*^9}, { 3.4376869523437033`*^9, 3.43768715715096*^9}, {3.4376871872908134`*^9, 3.4376872782572346`*^9}, {3.437688113803512*^9, 3.4376881166628323`*^9}, { 3.437692100177442*^9, 3.4376921223179255`*^9}, {3.4376921533958516`*^9, 3.4376921554583387`*^9}, 3.437692310769844*^9, {3.437694858019167*^9, 3.437694858019167*^9}, {3.4376950018307467`*^9, 3.4376950018307467`*^9}, { 3.437696880836641*^9, 3.437696893649141*^9}, {3.4376969278522654`*^9, 3.4376969336335154`*^9}, {3.4376986840397654`*^9, 3.437698684149141*^9}, 3.4376987154772654`*^9, 3.4376987646335154`*^9, {3.4781302138763*^9, 3.478130213876898*^9}, {3.478396051674522*^9, 3.478396288285972*^9}, { 3.4783963745292997`*^9, 3.4783963755292253`*^9}, {3.478396738874002*^9, 3.478396750212976*^9}, {3.478396953685135*^9, 3.478396967726983*^9}, { 3.478397725745476*^9, 3.478397725745625*^9}, {3.4783977811068296`*^9, 3.478397797150187*^9}, {3.478398175298058*^9, 3.478398175298201*^9}, { 3.478399352644739*^9, 3.4783993609328012`*^9}, {3.478399607760564*^9, 3.4783996227587433`*^9}, {3.47844257329519*^9, 3.478442617069428*^9}, { 3.478878010112994*^9, 3.4788783928546467`*^9}, {3.478878437832509*^9, 3.4788784488163157`*^9}, {3.478878679817835*^9, 3.4788787302254047`*^9}, { 3.478878872221983*^9, 3.478878985914074*^9}, {3.478883166764625*^9, 3.478883343534893*^9}, {3.478883915176682*^9, 3.478883915177287*^9}, { 3.4788851988820963`*^9, 3.478885198882701*^9}, {3.4792243998090878`*^9, 3.479224406568346*^9}, {3.4793293011109*^9, 3.479329301111408*^9}, 3.479329962248169*^9, {3.479330189663295*^9, 3.4793301938825197`*^9}, 3.479330232003977*^9, 3.4793303031122704`*^9, {3.480023001209136*^9, 3.4800230012096148`*^9}, 3.480033125935412*^9, {3.481061448332608*^9, 3.4810616154235697`*^9}, {3.481061652223113*^9, 3.481061669772908*^9}, { 3.4810617527271852`*^9, 3.481061755493959*^9}}], Cell[BoxData[ RowBox[{ StyleBox[ RowBox[{"(", "3", ")"}], FontColor->GrayLevel[0]], StyleBox[ RowBox[{ StyleBox["\t", FontColor->GrayLevel[0]], StyleBox["\t\t ", FontColor->RGBColor[1, 0, 0]]}]], FormBox[ RowBox[{" ", RowBox[{ RowBox[{ RowBox[{ OverscriptBox[ RowBox[{ RowBox[{"\[Alpha]", "'"}], RowBox[{"(", "t", ")"}]}], "\[RightVector]"], " ", "\[CenterDot]", " ", RowBox[{"J", "(", RowBox[{ OverscriptBox[ RowBox[{"\[Alpha]", "(", "t", ")"}], "\[RightVector]"], "-", OverscriptBox[ RowBox[{"\[Beta]", "(", "t", ")"}], "\[RightVector]"]}], ")"}]}], "=", "0"}], ","}]}], TraditionalForm]}]], "Text", CellChangeTimes->{{3.481061691477901*^9, 3.481061698294022*^9}}, FontFamily->"Times"], Cell[TextData[{ "\n\t", StyleBox["\n\t\n\t ", FontFamily->"Times New Roman", FontSlant->"Italic"], Cell[GraphicsData["CompressedBitmap", "\<\ eJztXXnQZVdRv9z73vveN9/MJCH7RhaSyQoJkMxkI/uCJgMhBAhkHTJJJkaK JaHEIhaiUhQaWcoFjQgoQlBSgpQgyKIFVMUS0AhKQRkpUqjl/GUEl1JKn7fP 6V93n3P73nff971vZhLerXlv3nfvOX369Ok+S5/f6bt9x3277nj1jvvuvn3H sVe9fsdrd919+73HXvma19e3qqcVRbWtKMpfPrag35OiwNek/me+zqMvera4 u7i7uLu4O6e7V4Tfg+KJJ54oHnrooWLXrl30KakPKov777+/qIrPf/7zBWct LqXvYeym6l+/65Davn178eCDDxaPP/44fQbhdlV8+9vfDreFSjEsdu/eXdiL /m6hWwX2wMaI74Ft+gSilbD2wfmSuNJUg2tWV0Dv4eogsUJfZfHoo4/WhdNF 4qUq04d+B8HXhMfMIETywAMPhA9d9f8DpTPI6cQbVWgE1LRkaVMGXMiCNqZ2 pyrRFZq3iO1GeYhW/RlFnahTDrmQUDW+YsEjyZQVtEQP9m/LV8YaRZlSDrpY FcPdZZFqXYThKdwhrapbcaBERvLsE5/4RPhQkfW9MjRzlShe2SaykqWBJsBF vwcsUyrN8kJllcYQqDhumiGTg4QgJapvSQmWjVXQTQgiJqiVbMB6gUJxcQXL cLOSMmO1Qg1D84nWREGS1qohxKrYYkn2QZxBJCc1FZlKi81OWYlc/eGeoy7f ajHRhNXQ3fr/kuRYKqUoHqvu9LtSmQ2TOqPIKtayTqslZyo2YkWjCsHc6k/F t0OnUyenjqD+GDIjqI2QYvaWuIWz/kvZqGwBRNgvIPIJKiMmAiFJ40DxbfdF xEiqNXes+FS9YdKy9HnkkUe4vSsRgGj9UNV8JG2EnPS7rmvFwqfMuFBASeS5 PvR85PfoqbKYJh5zB0q3IObKkrM1oQ8zUXLTo4JSIVPJ2LvV1zgyEPs5uqjw WCctHRe6NiuI8H3CQv+Lhf7ztdB/bpRKBLiBidGFBi/5np0PlJJ3IL+G8qt0 KFdMhUY5ViEzHxik6SrhxaPi5ahLpwkELhITlVAa4UBgSymN+hszP55meJUr 02pC2yAjfFhGrWxmtFbYOsA6JktMNk6DosmbUsqUNZXOkpl64KK8ZHGlTK5M eZgoSHnRnCGprm6TaGq3aTnbGH/FiS3sjU2lVW/qb6KICzSzCrI0qZ2GMpnD xC1yNDeNQndjjXclY7pKWq1bb8ZcTZILckAys+nLQHoZnoCOe2mFlS91NyTj IEstM/RIoaqnmRbfxKWS1lDJdoxEh0H3wBX6MKtGnmx4LktkKyEsBPKuI135 YBCxU2GUV3ZKc3Yl2NzZxXX0EVSfdLwHm916mjW4Crq7jau4NprwOKGUQxM8 a9GiT+EW3cytxtOd8DHNqRMfOEmoyx86VR5nhFpbr0rmUl6l1z6oV4moR8Lf apqOuB2ICHgKMuxkNu94lR36a7mz/UZsYlBxljs3JjnjovrDnCY8Rx9L824x zbsiOtAyHbATNywF7OQHlycqdp8lhl3fY19WNrS1Ntv6mSw7QxJV49KIx4k7 p4PcOyYeZacEMMWDNPFhac46ZKMGPKnnImgcHiQ+qy6dMnO4gTh4ZD0WUtFf IxELPly4csrNK2no25nkxeUL2MbSl676SVS5UZCwXWjwmq5M5VBx6rzvJAnU bYWyJro8suWW3PJQfZ7zJYMJzQot1diSddWtUzMvWnp1ncql2quaygVhuqn1 a6nVBBN4hzRP0u3UNT6jjiGmR+cQ+EYVUC/I2VlJJktjSB3NhosrEksaohFk bhp5oYYdSdNi0cZ6B/dotlRWH3BpU2XyUfFuNB0rViOl7bChpmI3psW9WpWi F9G6RlIpEi196Kqpjlg0VIDtiLld4gonTvORS5qlpXtemMvCXBbm0ttc4lhl 3TZcFhFdYabtlg0lFYcYVwvD4JCbnJ6TakNXuNkxd0LTEKn6Y3ZIdaSH341q pI7JOGVDy1jvrplJRSlZ02JHnp1U4dL5NhTLKV1sxt7DhCE4qyIpuqVekwmc OU03CdUDvggICwKLGhGXb2BeTGUgQrc9RE4iTEVi55TPQpiTWICaAj/WLUT9 1VLtoI71tcy1tZu/pRRRekynMgbTURfjigYtPBQu2Mcf/oz7kqBht3SDEdTC beyzbWGjpiLMJuPJ0vDjLAFf2pXu8CkE6neakk6K3FKtKivaYouQgsisimpB r2ojEL537tWiYgvZlAfHB7U2bGYB2aEw04/0XiNpJbRuiCyGIbml4AaLlzQ4 ydT24Ow2P/JKDQTvMcT3BYDJ4u4+dveLUXPq6w2LR3v30d3030A65PD10jxR mCQupYlesqpEd9F/y2mi6/JE18RHIVF9vTHPf3Ca/0q3kGmJlN3QUx6WJj+3 XU5hFDgmTX56njzMHQLWaOAwc/Qak79FpBh4D163kVOL/fOMb6P/dKkzljFl RYjtl5J4Wk4iOMg89NVYKIZ5/gb6FTxbm4TiD9aV2LuFGOarIW2sR6xmoLhZ KrycVvgfc4q/Tv+NhKJuEIZSDhI6m0SXhk7J4fvvctrvFYU6U0o5KDWhR+eR 5wPC7/Pl0dPTPF/O83xI1OQCkf4hIr+Q55N5nj8Qjg6XlEdLOUdNl9DvrD/F j4ssNPeJIlOlHXK/N8/9SUl5jPBznOjAM1L5vDPP/Rkp+3ip1xZJdKo81R36 QOdn1ovOFyT38VLvU6QOW9rovC6n82WRyolC51Shc2oqlbvz3H8h5Zwkv7Y5 7XlKSufm9aLzNcl9K/0KfeyzRVL+mPZ1kcBOof5cyR3yXJ7n+abQPFMeXSC/ tqaaeM58cz8muU+XlNuE33PT3I2R7buZVKOO1NezJOO5IoZznCbQfYbw9zPz Av5FxKmd3GUOna3SVOHvZ6wXHeUyVO75Urnz0zbez82oBnmxkLg0FXHlZjxD Er3dYVo3Q/57HXKrSC6X2l4iFL/v5jlfmvXHJM8Vkuef3TzvlOdXSO7vrTHl +5z6hmYPo9g33DzvF+rbhfpX3JQHONQvEvXaLjV/gfz60rrSebq01KWS+0Wi +C+WX3/q5j5Unl8uuXXyf7U8/ZSb+0h5fqVwcV0qyUDxo+uQ+xjJfZXkvl5y XyNPH2q35oHIN6v3S4Tib7u5T5LcPy4pXyl6s12e/uY65D5Nnl8tuW+Qel8r 997R3isMUgndKHmuFS5+yc39PMnzsORRWb1lbnm2SZ5JbB000Zvc5OdL8j9K GzMzr3vd3BdJbl2G3ioMvlgovmYdcl8mubXhNLdSfLWb+yrHzG+TXy+Xxrzd zX11mjtw+Wkp+5a55dHOSJt9R3qvEjVs5NbnL5U8O9JWroROI/fLJI/mvj1V w3DvReuQ+5VO7p1p22b6eY1L5xaHzh2S8mUigYZ/I+R+lTx/mZT9Wfl1ydzy 3OHo3S75dZ38utDNrauCL0k5fgcWvs5yFP/suSU/x0n+nPbkF0iin2tPdLFj 1KfMI/m3pPTPiYy3uCkfk5SflV/Huym/K5Tull+vX2PK70mZu1LxhpRHunm8 ieuNDh21v8NdOr8oKW92cuuAe/A65H6HyOUWJ/er3Dzvlru3OfK9VZ5uEi2B u8tuXYckwcuRoSXoihvvjz766Lmm3F8Rvm5Nec3a4IXCwcaUF+cwrZ5iGMgG Pm9eH82kaTMJu/XmDGYlRyYnWKM9yfh8j7TZbVL+Z+TeWHjfJPfYkwXwBe2+ 0UbfFuaA7uEctC3oQSGlSvZpRyBh1TcSgdgi7ZlLks1JnN2CNc82Rb5PavQV KTLIOyyyDIxmkAP3AzIiOHH3M9UCm1v3cBkfECpflV9Xe2VUAV8CQOnJTBYI 9JzsB1Oyuk5psk6ZgMapqxFWJnw0h27ZhqlL22YK+bDI56/k11VOE1dGr4FB wdHAICSGAoezFDED1Ql4kq17t8iPCNGvya8rHNsB1rbRBx6ttqon1akx64/t /j7qFHSZ1FIx9zANa/Z2g/MPJY8u0FtIWPBQyXKwZM9ef7IfF1GGPzdnPWUD zIUy0uN0sYy2zuKPhUNdinyoUVAGLrAAhT8RAjo3vUsINLbqVp1HnSS3S547 5ddWN8/n0srp/Dzce56b58/k+U55fqf88iebq8mjm707Jbfy9mw3z5fTcrI8 p7l5HmnjLRuATl6H3H/p1HGnk/skN/dXndr6zo+/drh8+xpTfr0n78e4uf9W 7mr7qK77buxvOrpzu1OiPyNfW+5vpfpUpvwe4eb5e0eWXomHurm/46RUbTtk bnnC18OS6MD2RB9zqDc26TX5nkSGqP/zHvmle908vmICrMvHUJdz1pXYyx2h qbNpnBbgnH9PziNHMggC9Mz2Um+QR7rkCpPlgZSVT9qBbqSB8MR2yjd21ies LcJ8aiUvw8JvqZKhXwhTym17uIz/dMirLd8qeUzMHJ2l8+QrTIM3SxPyJCVB ATfk919Of3CzV5rO1ynz8UwSzU6f0i3gf5yK6azlRr9ilIjn7/Q5jmmQ+HgR uU+U9kNHeDc6mpCsbjF9JzJL0mJ8+jMeYMA5hZg3K/T/OquoXtKNefE17fDg WCYAvLpbysSp2ivkl64SsHAzZxv2DLEWIaibNaMd3H3mICBfDcqK3r/DKUPd 4huZXjadPzUmUMw8cm7NC1rqrMJ1jYIyCPEd601v3CkI30cfvlbaGAnJOzKq xqqabJ9b8v062bq6PeP+Us7H2hMd6FB/eG7JDxIW/M3b8HWoQ/Mj7ckPc5L7 m7urSX64cPzh9kRHOTQ/2J5cUZtrTaTz/waiTRMdJ4/e357omU4VdNzetg4Z T3Ayemucs9pJ6FTKy+gvscPXyW1Mh+TrkVF3aTxWz2zPeFqnfM9oz3h6p3Aa 6K05ZDyjjdXsnu8rCF9ndsq3I+NzhGlvFeh7CNaW8Swn+Q4h5nsVwpduMXry PaE9owdb9OTbAM7NlYSH3NMm6siorjWv3se2Zzy/J9PHrCuJCzrr3ZFR0dVe vY9qz/h7TnLfg7Ka5Opo7Uj0kEPzsPbkH3GS+x6Y1ST/fXnUkeijDs2D2pPv q6dvnkyPrndEfk97cs8FtLpEnv9nV3vyG5zkO5x7Puw2fOlqb89n9Pqrsj2j 5+i5TZIX6amacO++nMRNbQILfoF715hcIfa30q/gz1BIn3EFxr+KAn2l2Ryk tT+8DI3DhLc6/NyUFlWa2KQSOiqJKEArYJ6Lx0CoXqCLcML13Lz825zy1XWj 7kngC+zWfv050dzGVS90Gyv9PVTMDiF0szTShgZxixWoP3psukHPm24pimfF UI5RselCU4dyzT6+xrrkq1dpN0kZG01pMSar3bKMEhrKtrtVjb1XkDeZuNEt KKaDZ5D+gtvTKjonrtW7oci6LeMVkO/ps2NQ9/Q5adxoR704Nl+jrLucat3Q WqqzrX98ps8MlNh7BXkQpJc7BfHMv1YLDd/WIKaIyA4SMTyyjRJDH/ay+018 j8Pk9UKX7RwxVYA7Qix4EUmRvsVgXy4lhoSF45CS3JnT+UmHjo8nDl8Kxl5r otc4BV87t+SvdZJ3eDNnTK7HADsS3evQ9FHOeyD5fU7yDjfqG+TRHkn0Uw53 L2hP/kYn+VXtyX9aHu2RRG9yuGucgNTk9zvJL9tbyfWcbEeiNzs0L55b8p91 kl80t+R65matiX7eKfiCuSX/BSf5+Xsr+VvlUUeitzk0G4dv91TyfcRpsHi0 eNT26D2ORnd44tc3+W84yTu8++ubXM9+rjXRbzkFd+w9rG/y9zrJO3YS1je5 nu3ddxK936nCsXNL/gEn+TF7K7nuZK9jouilGSWvOcNb50KIPHLLpP6RUIHg TBnGPyMFSmKD7klgzPR1ZzFxmlmhWZF0fGLCuMNHGd8c0HxrXiXv16GLE8dQ jt576iYSg1LDfyIy32NOIzW2pqLUNFooQgFL5NzSe7MSferfFTMJadg4wmHJ H2Fl9AiuFojE+siGLMrWdxmFSJ2BoAQxtS+PZCnF15PQhaivuQeTLnmtXft7 iJK3GY1WK9RStELVrIpinKToN0VkgXHNtpwnbnpOrRMYVwDURdna23QJZtB5 Ji+m6XxJ0SB5SRGqGn79kyOexl7kQjzTxWPegmPf49Ytq/Br2C6c2H/RBYvV XarMJiECe5qUbFjj/OoznOSJcZ1RZpG+kGi4CknsZHni6B2/p2UtQsieojVt d48YvXhzKp6hB+fhQJVwnFZNw980KnSH9ueDJF50V4UwcllRdVhAM7FnAQjp yu98owshgulueMWOBom38ZGp1Wvban3tSbmQxqqkgV0mvMxEeJ3WP2pgYn1N YLOKnnA0Jn36IpZBMgmpbQH7Qej0+BCr6VaiZOz+BDEjrzP03ouiJzRtPxlG e5VV1ngNoApmfTBSjN08DYECUKL0FVHDhFnMWkL6AdPEjioMfxKnHZmioQvZ zq+hBsm4GxFfw4jc3JWXks/rk9G92uqAIISNzRIb+j40SBojv0oC/we+vtdf qpXEn7disy+RVraIoZGN9i6jAyaCkCq6V2N70qnnUq2S1ODAnDIWqfIsOM4B /Tk+v9HCXjysYnvNC0BvHpvA8TIQYF7ojWcNSNNCrOsi1rc43b8uGT10+HqQ +Fnu1LJw7WP/thLXQCZ7kmR2Anuc3eam6kVSE80I1Nunkj/sJG8c7uQdsYgP wpQ3WkI0CrJi9MkBUxO68bPSX30JBCZe9BTgK45x1L9k7/2IXgY7auL0CZXD eJK4negEcqG/z5r2bKbSw7ce1GmrTy0gHGNERyraFRw4l0snslV+nd2Zd1rJ 2GYlnlGNobmHZjiE71nP0qUON9t60nuy8qUgRX4Jij1cx2Mt3lENZ1rU9MJ6 03gGhakjCGbvNQy58WYs7pgNntCGPUEO65qCQ69+zrFS4huJDav08UKn6wto 4jpq6HoJ8fJmC7sBcfjDsNrNCgWD9n0y9mLpoJsgY8Jkt+oiy1KziwcbtoTf nRWmCJ74qmlVNqdoh9KEaMbo48FLNYv8PG0BhGLq8Jww/FIdxqyZCOmDOpaC lXPVZ9hQnzjX05c8RSeWLXtqfbF8pSt/30/9/wbheSY/teE/LmTiPawOY5HR RNkEEuasAxgXyrKtCX0BTfo0IiUwWFXBvXH2CG3Bxc7rKpaC1CHd2IgfOgjx 82I9znmzwWTItmqnubVYlnV40cWafdsWvOYoS95/KeynL3YDSNpCkRXSnHkX rNMOA6VZj+sLz+0bk63Q7MWjECYA1IZon0ppNrWLEoTOIVYU/gc+9M9FRreg K9N2H3xSf9ixhQjiILbpq0dJYAYTZAqvfPPsbuZNDtuRBPWqBTHuUq8o06gm uN9wmbqiGCaioCvWOGopBh5ujLHp5O010y5KU8vh+slAvn32UERNf9DHvrt3 BdRRjY6Jhgs0FV6fhQ4tiknR/7nOBpJPF+Ktb8Tu9PNXiZ9/Keak5NFOcs9R GO2CsTTrVKUMGPA7L/k995/3Nt/harh2C+bC0fxZPI/Sdhd0IVZhD49l+IWT +M1WnLGszsqO8q2YkCYYtY5uuNa6lzRy95LU9Aoe2pHaKivYNp09uI756uvf HStqvIdgYUWeMi+saGFFa7AisxlLV7IZq+q3xEmpMbLXbRqWMW9r7I32tSZv c5WPVuleAnbKl7QNBgnvbUofs2NlMZPBtDKmSWLlm+tnnk/xci/lYxZ72Nir CUxoHF6OdpeZ1YllGtfo8JNxaWvfch+Jhx/uNp6Jx42+2Ipm2qbNERxaOl+e UdEH2vNW2DxQq8kHDoVZYSZLd8MOVCRmewtk1bA9fdVc452ucMMBCmBXNZ4e zq65m517WbX7YlYMx6sSlFcY/AlU8XQns0po9ME7NDENxJi8rH0oj9APyFo1 a8cZdQyTDqxaWtWrEgbFYrQ9CmebnStmrj7zEofQODdbVGtDxjt95qN9rWx4 yuiJxo7q+m7sWbR0mrz7F+lVBjMMUIElEIlGKLjegA1OT/YQVcBaAd0Vx8RQ QAbYQI1747116T8cNdfoyQs1X6i5lPYjpOagbLcwvGVZEKKqhZkFj/LRD9Ps HCDEFcNszHro9utlAE30USXEJ+k8OZ2tWVQ2PH/cJJR3kE9lWxaimASwSfU1 nKyu5Sy1cctnHrAeBXSIp8Fcsag2UOGZzWx6K3Ox5fQy3co2UXhcB7u3gWv1 oLdW+DEM3ZqUrm2jpXYptt1TB/e4Z5v7+6uxxxTLCiic3ZmkVKzKBio2SqFi 3IvI48rWolB5srR5v05EYzBpsoNUMQ9EDmXVH513G+ywhjrA3gZddWpUEoWi 4Ch7bVu0FXxalA7yBuMMNGI/l3TLo0Ry2BiGz2mQ8WdRSwUvwrJesLn7oTu2 pUpylAdshaTAFiVy6u1Ve6SspkBHsOq5IaxeYzcUZeZIRlYi9FLQKVXlDnxl c42EJS/7qqBrA6vW7VwN823aflDJWLQX+wdb+bOAPCvroiySztc2q/RSqmWW VrDJCPozHaU0rUhcrYgtSd/T2mPEBv7QbHeTDegeF3bpGZqHaRAMxioLPBSo ZJwwBrhCrCZ8h7gYAWhdi0AAAgUYdKQuaBPzazELsD90nLi4x7KOlczjQn8O XTDiipFLiop0woiXvD1u/aV0CajErxfdxQ5/odu2tj+y1RxHHiZyvmu6tMpp 1RybvhNTRJ3VUn2icM2W8jCTTOzjA0PRR28VGJoTxs5ofOaWDcwSfVkj4dAe calrMhLjm65grbxVCW9TdQAWblUViFi3M5gRRMtuGtTUgnmSdZYF2uRAjmCK xKw+tu0Y/ONxYWEnR08suoZF17DoGhZdwyq7hot5GmPBNYWdrT/fT3C9f/ti yRd4OLEPC5eoZjhOk3DrwrYkL2l7cGHKCN52ZpOs5CwxCA0+l0vU6odJRvqI i+dCTZWSZwBs3SKb25JAth7W/6nNcZxa22huVzJl9BqsVG8Vnq71E4RyvDDv G/Ki9TjAJ/el5J+SR6tL9C76LzT3Y8YmDQYNyzig/ANJ+j5vbxBtgfOjGLsQ lANQcSUr60O65wUIX8oLfLd0Av/AyS3IcGSV3D4I317Y9I4CvhMfxVMHdsmZ HEdIbHIfKwUn070QG/py4kYsDTt5YbzyBlMchjJvN9Nswo8SKDVdDDYfdRfF Lrd26DSGd4T9QMcV3SQRKwl3C4/f6l5J4KedoUdG0hoZXpxnLIVOwqdhs/Hy M8x/bI3re0umQi4kG/zu9s8DjHqyERrHRnbGpe7BProABw90wa4KSgFVmJdf zxTjBYxjEBGtsjFYcA1Z09Z+vgN+x8a5gELPfPCEr8+5jlGilVjBiLcondD+ 0LFlhRRkB6czJAzA63AzZUDm/LbYQ8HT07Epm+oZnc/xHvYUG4aNnhWKxfhz ttyEfuFB5lOctPoao8sSz9gByFPpXRI3Zrc9I9AVCmcKCHwN2GsNk8s1kvFy YvyCdRl9sOJoye1yDMA9JTCFpTIVDgZBK3yYQ+bEnKojZokOA5YTw7GJ7RCA ZvFkm+/EdEQvCkvCsbR9J38Nf/1GFrstpzT4o93N0wPNwx6jRDvp4vVtvmmC i9j83962rNtu3vacxdQCJglWd9tTDFwWnsF20Y+lttuFs+1TIsvEgZ62IU85 aei8dTNN55Ez4bRmAKfmS/x0S1VCZEzBo+q+IGaq3M7RvPRMR2qEvbnUTfc1 KYKBBogamxHT6qJuNXs47AyChlW43a5pIL57MMVXFtDd23o3vs1BomZQn5DU e2/lwsgWRrYwsn3QyOBWsDvXwRnFC1O7hItxSxLxMAdNwFLRhsn3HmRmkJnG qoK3zYQVX0orlcM7+MOTDyzpOg4IdBbt052pgbC/gAbCRQ2kVp8ftugQ3hLr D5D+uHihPmhjRJsVczpbWDldxVXo6jrOtGFGXcbbX6chuz08t94bp79aFXTJ 2ClWMauPqedB5cc903VLJce7R+BdwS6BDWneqfUZatcaO0DrzONBpkyReVqN TVkR/tmD9dSTYKBjKxYLMtVQBp52aN4ixeksSZIihb5ql6Jqw0q19lh9LTDX VlUp2qGrZhG+PGNxvcZwkVvs1G2/xW6wjSnXU+Uz7GTTLbsxIG9mqXQgtJv4 V8v7QikXSvkUVkqdx6fijvewYrDLMEx5LKAV+ZvLMA/K3V7qMCmV7ggWoQ3M LLhbIEn15Kt9OR9A9cUqQob2xkA3V2T2ZHM9IOYA+0k6dRwl1Uai3QrVdnD1 s0UlXa06NBsmZtotkPS4AW1zZuuwHpIvHAC/EWdlNWkax72OQyy3MTZ14WYj PYcJVLOPKsQ6lXkUrI3RYawZKliPmCYOZ96VsFM0OTFQWx9M1yJ3sbTH9hLn 6w3W7lPubAhs65rGYlP9PQEHVdhzWGzVPhRf+I2ueoNJT/HUaDQ7OImy9UMv p3qeNRjqDuP2IF6yKTW0EhTZ2PGzC5A/nWf1tW9PTjNoU9n+gmgjDEKLCGdQ AovXYsVCNLmuDmPVcYoN0pslRuYa+zDbQHrQX0N2oNFWeT4jn9zFfRcFqlk9 VTJqc9khioFoPB9VsYonXV//bobRQrXsbUg2e6m8FMPIcrEb4Q4QFccT8Mi8 CjU2kObuieecgnzVHc8pUEQLtUEa3ZAaW21uCa8L4QLwazUuD9QXEcBROzJs VTvgsUoAj7pg5608C14UYAICrzjoxqLUGCHT4bh92Urs3mLNJnYilsI3rNx3 cWTEKYrE7UpPhqJJ4IGu3Ac2S4zo2BMYyK/0o+h0cpwI7/GPupnuAywet3I7 Em5tz53hf+2cgzdDWVQRoGjVG56XRf+w6B8W/cOif5hv/xDRLRCCpAyZ9cXL R7LyZJD2oyXpzfLrFfJrEn81eSlzXm7nRKh2Gxv8wqkmpP3IOTOCxZ8kKhq4 7hfGvMCXH2XF2SgjrEsP9gnd5N++wb/9o1mXXUwAnSz3SC/UXipFzB/fYDTL eZN/+4bs9nYDpFfPQYM9BaN/Yc8m+nPmF8Lja19Idze3KwLa018cIik6DZr7 2Gn0+/DkTDFiS/sn4t16pcXRVPEr3AtJzpCMwS1ssaY4ED0QXc98soD2Wg7P NsXfEwutFeMAzm1Hx/2de+H7WSlLDmxS4BxylFoG76OZKha1lk8bQPxJxifQ uD2AzYmuBHc8e4Wnx2+fO9J42KlTYQzvxof3B83j4smIt0GOY4FrP56wUSUa mzWfn6/qJaNcnp1psSp4rxaFq6YVxa/9oZkR4xJgRRl9OLE9rCXTR5QjFj8x Uy5mOyJorIuJZ1Bx/kjMwHDyqDPDJDIQUpVyFBc04DGNXemEB6z9pa10Ap1A iI0ySM3r/0NIuqB+ug/GzWZnbcTSscZGQQULA+ts22pttAsfnhoH9/IKAq5/ mUCdfoT29cQSAzMzQzfG8KDdSdD9SpiK91QDUXV1Yca2sptGaDdR3pFFgEu9 APKY/xGFDVaBYStq3P3ehZvWF10mjlfRPTifPQxVnXeJ6573bywLrF3smQlt jMI/tmIHFvqwWVjHNWWDrgvoHt5rswxNNzOapm37Gt3yiJFL7OEFNGfN2lBs +4BYThxP7NYnYtDbLtnAPo18RG5BVjU3/yYdhMac5Ra11Eh4x9ne3RZ/njH0 bL9M3xy1Se6tERC5nPOZ909ZNK3WMs1AMErc6fThkWqDQ2sVoFUMsbYLIVYF 8eGhoEqH+6xG0zC9QzECXHocJcVNYwMUHYUZsmKDWzsEsgt9GS+BNCQVJoeU AGp9ON+zmxccdtc4vMDjZKL7WxbN/K90b0OmB42o3aHZNtMNC1dE77zQ14W+ Pln1tQvmmylvv/jl3fjLhvLmg0Kr8nYxihmDhzvvocGYNdpp+aasTAg3wpPr YXQwjake6qvA8OWOGiD2DT2Dlh8shMaiEFA6q6l4ZSaxjr10vEcpi4g9Um1v xFN3tS5SRWlbuCTqhRA/7tyoaDtNl2ZcxKBizXOFvhRwtl+WczWQ3y472ei0 zFQkc5xdpnEnk7bqoW37i+EzybAxNqXgHso0nsagseR0K+YALj1bI2DngOa0 qt5eP0cX/XWEUQRcI1F09HPTUPYt/RyGJtbZE5lpG4Go5iVGUeh8sbn2bajD HDCTrcaxyWm0qahQHJCly5z3b9VZq6HbE0hww9YTiJ9d+FfTmJoyHnuA3KjX tleTYd86/eDc2M/2QxgeeEvXvhoHLGdGxU/h5zgiPjV7knThKQYOyxhEHTwY 2UrGOOh0g3KClVkYcPO5AV218SxUcqGS+6ZKYmPOx9A25oD39w23vQpUa1dX 7+lYD/hvF0Sy6Lm+mQXKrvqRnialv0aJl2MyEcfvbGueVpS3Rp7HpW7CFE4P jcC4ae248AO3ND38+ftawSW2aYgogI3GaI7kzBYFUaqBpY5Pe1Y09cinwTdC 3N3M3aw9SnhwvAoqnSMnfuVe0FBc2Wx1k3aR3cGrCz/GtDFkTm1beApUsxFg vdkjLAunEeAchWsnfFrFbjlwEfFUuwHfhg+3tWdacwGej+xIQRe0HrtC9Lcd QfrCtrnqCjoqtAOzJiG3R7KviF6aeUWvAy48V2+h4UStSaJL5PACWIfm208k uo1WEJBrrGmRvpQOF9SfWIZWHKmdnDJsj+xD5EV3lO4fpHYQJHqC4QF5tLPL BqAmOKlKtlAbQ1HsU3tEeTXYiXDXRKHl/RpraFMwTd6bDEIHowd+sfsD0dst 3HbgWFrbgRE5XRmokQtbFzzlErNocft2fxr7vuhjplWlYWGJOlbSdcOlMgVW 2CoTnOC2Im/Ex0RngcjFvIul/KwYi0MG+pA0npFbb2JxOF3fGqC23UTiaGnN hCGRkKd9lAxYC7tZ2M3CbmaxmzcLtdOFmiqnvhD7BMu0D0l9jvw6JSbW/VUQ LVLYhi6NADIzU6ZYW8zCLevHGRHZAV2irOoyYCOXk80wTzTNYxe+cfpdKwk7 a/lII0b1bhFtMaz2kE7seFAvzBe5xwjCsysLeJEbqzAsRTZzTe3+iJGf7eA8 dTgqU1hcYQ7kyzTrFO8wImO0P5jGgv80zplhTcd+I7HVAfkK8fbAzJ7p3z6N rQStjot+123OM8i4VWa3YuiiijJE4EF5+RKEh8ixVvbe4goAPFt4hl99w0KK 85Piw76mjv3bm5XzFLF8apaen53p3w6svCtnRfG5X9ybj36VeUZXI8u+QrFv FipzIH2H9ftz5Vd48jd7njI1B8fX1uMrGmNbiGbQsOc697oKcqJtF+lbG3QO uVV+hdTfyCn+muERvo+huYdrb1IM/XZwRiueMZtiLYfvJblnQW905RuzmO7y TtcuOmEbqVpAMya41t4x47Ou1Xx7PbrGdEcPEzhBM7RCirGx7A/7ccIMBwbX 0fiP/Ejd1Yx8WWeJ7R7pN7YE23DTXCGwasUPaCIc81nWPihrv34ra+DX4ryL UZv6hLXA0DSNiyzemOnXZCJrLX1PY6JaLry6SuDVOYadLk9UgXogfUhuPncx 4zmANQ6Aza6ncJCqVZZELQ2iMMjCQkFECHxjVmWCBs2Bo3R1IYO5eA2SgKk4 fRSKPS2eNOow5tSYT6JLEKdfEvXaOBvpQh9kvWtr56+JUbWziywStXRfyUJS DJAKHSatgu3JZc0/bOSPLMRGg/CbQOrpwhitskY+vtvCtx2lQ+9gNz3A4JLD 3DKP1+ieeNtDsR0sgvR9Ul3BtEf53ljSqFZAibvaxgdPkeGp6odvHTDtuTZF FbWiTOwhOaziPLAaVnO06kI6L5hX666XfU8Glm5Z8J6QeAPL37is06C5gJA5 0XdlLWChfzNw0QBBYosG2zQBGp1sNORgP+GiO+rswKn59IqlmMZGCNrp3PZo dzsaWnuRCMax8zCwUGFqOe9J4yrJU2A7SS0dqZiWqBxBdLSwDnaHLmxiYRML m5iPTWAlacMNl2beHkMi5AE0Iso4sYgMiJvgbJvFoQk7LUNzZOCVojPOdCt5 M+WoxN5SXcULgbqjL7dqtMfdSmepXYjtUQczGTh5s7aWvhalZV8IfpAJ1iqe PnbLed49ciN0cdF9XpUumJXtfJBHqzCyxoXNrljLpmJmDdlXHb0w0h5eqPny y14hm1sVTQ8zrHBP0QrCbi1L6fKWgUJjrHOJVTC2zUCAQdYd0apFngrMQ22G iVEAgIcVuX3mCQ+oaayQVqcTRVvo3VZgY9lJvtFFwQKa5wpbKz9l0HV4GreV uiETUopybWFi1FlMncl6BNVi6a5CmrDak74LEQn9wbMua8n8WSx0LZXGQteK J42uRbEkCIMihVI2B5K0enhaODF1C8XiCqzTX8N0DavNNQz2l2Xomdj5cQ6L Vd7VKTxpLmC6WGjsOefg00bA5IbEEhl3hzHu0vFmpXQeL1Rm4nQqhru9As3V DLOnfBf+UfLsOCs8lzAtbPjS3dDAD9h3QPRGZHe094wWhBDAzJDwzkLTWMGo CaCRFg0LEAVmmBa5oW83eojek0KXjwoOfsQ4caL0tqNiWK71gIYKFey+t5Ww cGu6gMKvuGgjfalwnRaoHhwutvhjjZ+MXhRwWAvfzaMy9+UOLZrJBDZAt9HQ UHXKjf42N8qh20Ld0YIHPQQ0S9UnE8XO9+J/Cpi8mlqzpsEyn12xofFumgwY M8gaJN0ujM1qtux4rdUP8V05chsIQyxXY5iRcctgUH7XvDm04OMct9J4Fdzt lmjOHgTRcGuxEjy2abiOBLvGqzuqkO5MpZsjsUT63Ra/kWUPwCCilqKNIXX0 2EwGuwzm3WuyS5Ko9mSSxnjkCsP27VqNrjiSYAk4sMODFwzVPEb9IHLxhUU1 z+MiMczEvNzZCxU6TM5e0Uc035xT8AN6YvJst3nRGUOPcU0miafDaAVUIG6A ejJYaeXeOTk2BaE7mFapqXjQkVgEQAroQaI84z0ikiwoHKxc5LkDLKue1kgm bjICFQOu2Zxy/G+yg7qw7YVtL2z7R8+2C7srhjmIxXIi1TWS6jC5d5pJjxIL hoo1b6vh3CK/Av2z2nkrOvdgCg05MY3V0+OvZjThA9selLOxu39sJXhaNf7a Rcxphnpl3A/Sc1DjOn3jbEDGaTwIYh9MeOESkt/sF/dU4/x1bWPKcoN9Yyb0 OaQt5xFSkdP9nDdnty0+t8Hg3sHnhq/zFncXdxd3F3cXd5/cd4un/T8BbvMo \ \>"], "Graphics", GeneratedCell->False, CellAutoOverwrite->False, ImageSize->{282.22916666666663`, 223.78748391248396`}, ImageMargins->{{13.333333333333332`, 0.}, {0., 203.5}}] }], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.4364493699300003`*^9, 3.43644937346*^9}, { 3.436449457052*^9, 3.436449463067*^9}, 3.436452087344*^9, { 3.436452197724*^9, 3.436452408336*^9}, {3.4364524604960003`*^9, 3.436452475421*^9}, {3.436453875233*^9, 3.436453910296*^9}, { 3.43757946259375*^9, 3.4375794743125*^9}, {3.437580019015625*^9, 3.437580041875*^9}, {3.43758018796875*^9, 3.43758022359375*^9}, { 3.43758027378125*^9, 3.43758038609375*^9}, 3.43758046871875*^9, { 3.437580679171875*^9, 3.43758074634375*^9}, {3.437581078953125*^9, 3.43758108028125*^9}, {3.437581110546875*^9, 3.437581114171875*^9}, { 3.437581149875*^9, 3.437581483921875*^9}, {3.437581536*^9, 3.437581537171875*^9}, {3.437582651796875*^9, 3.43758269109375*^9}, { 3.4375827976875*^9, 3.437582940671875*^9}, {3.4375839561875*^9, 3.437583960125*^9}, {3.43758402*^9, 3.4375840258125*^9}, 3.437584056734375*^9, {3.437584518984375*^9, 3.437584758796875*^9}, { 3.437585448046875*^9, 3.437585492328125*^9}, {3.4375859669375*^9, 3.43758604328125*^9}, {3.4375862404375*^9, 3.437586427578125*^9}, { 3.437586470796875*^9, 3.4375866528125*^9}, {3.4375869983125*^9, 3.437587072921875*^9}, {3.437587115375*^9, 3.43758726075*^9}, { 3.43758767409375*^9, 3.43758778525*^9}, {3.437588130171875*^9, 3.4375885786875*^9}, {3.437588635515625*^9, 3.43758887328125*^9}, { 3.437589542453125*^9, 3.437589735609375*^9}, {3.437589817609375*^9, 3.43758982740625*^9}, {3.43759128375*^9, 3.437591361078125*^9}, { 3.4375914385*^9, 3.43759144478125*^9}, {3.437591781796875*^9, 3.437591788578125*^9}, {3.4375972224849997`*^9, 3.437597235321*^9}, { 3.437597533892*^9, 3.437597538975*^9}, {3.437597619051*^9, 3.437597620686*^9}, {3.4375976608380003`*^9, 3.437597698433*^9}, { 3.43759784201*^9, 3.4375978432539997`*^9}, {3.437653553028*^9, 3.437653569652*^9}, {3.437655572648*^9, 3.437655572648*^9}, 3.437659823227*^9, {3.437659899148*^9, 3.437659902876*^9}, 3.4376792584625998`*^9, {3.4376793567426*^9, 3.437679361407*^9}, { 3.4376793974742002`*^9, 3.4376794150242*^9}, {3.4376794885158*^9, 3.4376795206518*^9}, {3.437686805081848*^9, 3.4376868422371473`*^9}, { 3.4376869523437033`*^9, 3.43768715715096*^9}, {3.4376871872908134`*^9, 3.4376872782572346`*^9}, {3.437688113803512*^9, 3.4376881166628323`*^9}, { 3.437692100177442*^9, 3.4376921223179255`*^9}, {3.4376921533958516`*^9, 3.4376921554583387`*^9}, 3.437692310769844*^9, {3.437694858019167*^9, 3.437694858019167*^9}, {3.4376950018307467`*^9, 3.4376950018307467`*^9}, { 3.437696880836641*^9, 3.437696893649141*^9}, {3.4376969278522654`*^9, 3.4376969336335154`*^9}, {3.4376986840397654`*^9, 3.437698684149141*^9}, 3.4376987154772654`*^9, 3.4376987646335154`*^9, {3.4781302138763*^9, 3.478130213876898*^9}, {3.478396051674522*^9, 3.478396288285972*^9}, { 3.4783963745292997`*^9, 3.4783963755292253`*^9}, {3.478396738874002*^9, 3.478396750212976*^9}, {3.478396953685135*^9, 3.478396967726983*^9}, { 3.478397725745476*^9, 3.478397725745625*^9}, {3.4783977811068296`*^9, 3.478397797150187*^9}, {3.478398175298058*^9, 3.478398175298201*^9}, { 3.478399352644739*^9, 3.4783993609328012`*^9}, {3.478399607760564*^9, 3.4783996227587433`*^9}, {3.47844257329519*^9, 3.478442617069428*^9}, { 3.478878010112994*^9, 3.4788783928546467`*^9}, {3.478878437832509*^9, 3.4788784488163157`*^9}, {3.478878679817835*^9, 3.4788787302254047`*^9}, { 3.478878872221983*^9, 3.478878985914074*^9}, {3.478883166764625*^9, 3.478883343534893*^9}, {3.478883915176682*^9, 3.478883915177287*^9}, { 3.4788851988820963`*^9, 3.478885198882701*^9}, {3.4792243998090878`*^9, 3.479224406568346*^9}, {3.4793293011109*^9, 3.479329301111408*^9}, 3.479329962248169*^9, {3.479330189663295*^9, 3.4793301938825197`*^9}, 3.479330232003977*^9, 3.4793303031122704`*^9, {3.480023001209136*^9, 3.4800230012096148`*^9}, {3.480033125935412*^9, 3.480033132008554*^9}, { 3.4803027976168222`*^9, 3.4803027976172113`*^9}}], Cell[TextData[{ StyleBox["Example (1)", FontWeight->"Bold", FontVariations->{"Underline"->True}], StyleBox["\nA pursuit curve leading to a second order nonlinear differential \ equation", FontWeight->"Bold"], Cell[BoxData[ FormBox[ SuperscriptBox[".", StyleBox[ RowBox[{"[", "9", "]"}], FontSize->7]], TraditionalForm]]], "\n\tThis problem, posed by Pierre Bouger in 1732, is generally assumed to \ be the original pursuit problem, except he used ships and I'm using animals. \ Imagine a dog spotting a cat in the distance. The dog starts in pursuit, \ always keeping it's nose pointing toward the cat. Assume that the pursued \ follows the x-axis, starting at the origin, and let the pursuer's intial \ position be given by ", Cell[BoxData[ FormBox[ SubscriptBox["D", "0"], TraditionalForm]]], "(0,", StyleBox["a", FontSlant->"Italic"], "). The cat has a speed of ", Cell[BoxData[ FormBox[ RowBox[{ SubscriptBox["V", "C"], RowBox[{"miles", "/", "hour"}]}], TraditionalForm]]], " and the dog's speed is ", Cell[BoxData[ FormBox[ SubscriptBox["V", "D"], TraditionalForm]]], " miles/hour. At time ", StyleBox["t", FontSlant->"Italic"], " the distance traveled by the cat will be ", Cell[BoxData[ FormBox[ SubscriptBox["V", "C"], TraditionalForm]]], StyleBox["t", FontSlant->"Italic"], " miles along the x-axis and the dog, which will now be at ", StyleBox["P(x,y)", FontSlant->"Italic"], ", will have traveled ", Cell[BoxData[ FormBox[ SubscriptBox["V", "D"], TraditionalForm]]], StyleBox["t", FontSlant->"Italic"], " miles along the arc of its path." }], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.4376963873062544`*^9}, {3.4376987970397654`*^9, 3.437698859930391*^9}, 3.478108914233356*^9, {3.478110003948173*^9, 3.47811014923943*^9}, {3.478127237152807*^9, 3.4781273905911837`*^9}, 3.478131947733871*^9, {3.478131985469166*^9, 3.478132008731043*^9}, { 3.4783894632949867`*^9, 3.47838948239361*^9}, {3.4784426345703783`*^9, 3.4784426423661222`*^9}, {3.478884814298071*^9, 3.4788848605206623`*^9}, { 3.479327727620947*^9, 3.479327903031168*^9}, {3.479479418153941*^9, 3.479479450854965*^9}, {3.479479497824497*^9, 3.479479519694725*^9}, { 3.480031164274328*^9, 3.480031172288412*^9}, {3.480031234634604*^9, 3.480031262532879*^9}, {3.480250565984312*^9, 3.480250583629925*^9}, { 3.480250673716642*^9, 3.480250674909437*^9}}], Cell[BoxData[ RowBox[{ StyleBox[ RowBox[{ RowBox[{ StyleBox[ RowBox[{ StyleBox["(", "Text"], "2.1", StyleBox[")", "Text"]}], FontWeight->"Plain"], "\t\t ", StyleBox[ StyleBox[ FormBox[ RowBox[{ SubscriptBox["V", "D"], StyleBox["t", FontSlant->"Italic"]}], TraditionalForm], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], "Text", FontFamily->"Monaco", FontSlant->"Italic"]}], StyleBox[ StyleBox["=", "Text"], "Text", FontFamily->"Monaco", FontSlant->"Italic"], StyleBox[ RowBox[{ StyleBox["-", "Text"], RowBox[{ SubsuperscriptBox["\[Integral]", StyleBox["a", "Text", FontFamily->"Times", FontSize->9], "y"], RowBox[{ SqrtBox[ RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", FractionBox["dx", "dy"], ")"}], "2"]}]], RowBox[{"\[DifferentialD]", "y"}]}]}]}], FontSlant->"Italic"]}], FontFamily->"Times New Roman"], StyleBox[" ", FontSlant->"Italic"], StyleBox[",", FontFamily->"Times New Roman"]}]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, 3.48003400258799*^9, {3.480250642885325*^9, 3.480250647845742*^9}, 3.4802522503494368`*^9, {3.480255603904352*^9, 3.4802556049692574`*^9}, { 3.480304489941081*^9, 3.480304499164052*^9}, 3.481061817433539*^9}], Cell[BoxData[ StyleBox[ RowBox[{" ", StyleBox[ RowBox[{ StyleBox["t", "Text", FontSlant->"Italic"], StyleBox["=", "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], RowBox[{ FractionBox[ RowBox[{"-", "1"}], SubscriptBox["V", "D"]], RowBox[{ SubsuperscriptBox["\[Integral]", StyleBox["a", "Text", FontFamily->"Times", FontSize->9], "y"], RowBox[{ SqrtBox[ RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", FractionBox["dx", "dy"], ")"}], "2"]}]], RowBox[{ RowBox[{"\[DifferentialD]", "y"}], "."}]}]}]}]}], FontSlant->"Italic"]}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, 3.48003400258799*^9, {3.4802506372264967`*^9, 3.480250650804393*^9}, 3.4802522480903397`*^9, {3.480255592475047*^9, 3.480255601823575*^9}}, TextAlignment->Center], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{ StyleBox["The", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox[ StyleBox["minus", "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox[ StyleBox["sign", "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox[ StyleBox["is", "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox[ StyleBox["included", "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["since", "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], StyleBox[" ", "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], SubscriptBox[ StyleBox["y", "Text", FontFamily->"Times New Roman", FontSlant->"Italic"], "0"]}], ">", StyleBox[" ", FontFamily->"Times New Roman"], StyleBox[ RowBox[{ RowBox[{ StyleBox[ StyleBox["y", "Text"], FontSlant->"Italic"], StyleBox[".", "Text"], StyleBox[" ", "Text"], "At"}], " ", StyleBox["time", "Text"], " ", StyleBox["t", "Text", FontSlant->"Italic"], " ", StyleBox["for", "Text"], " ", StyleBox["our", "Text"], " ", StyleBox[ RowBox[{"po", StyleBox["int", "Text"]}]], " ", StyleBox["P", "Text", FontSlant->"Italic"], " ", StyleBox["the", "Text"], " ", RowBox[{"dog", StyleBox["'", "Text"]}], StyleBox["s", "Text"]}], FontFamily->"Times New Roman"]}], StyleBox[" ", FontFamily->"Times New Roman"]}], "\[LineSeparator]", StyleBox[ RowBox[{ StyleBox["direction", "Text"], StyleBox[" ", "Text"], "is", " ", "toward", StyleBox[" ", "Text"], StyleBox["the", "Text"], StyleBox[" ", "Text"], "cats", StyleBox[" ", "Text"], StyleBox["position", "Text"], StyleBox[" ", "Text"], RowBox[{ StyleBox["(", "Text"], RowBox[{ FormBox[ RowBox[{ SubscriptBox["V", "C"], StyleBox["t", FontSlant->"Italic"]}], TraditionalForm], ",", "0"}], ")"}], " ", "and", " ", "is", " ", "tangent", " ", "to", " ", "the", " ", "curve", " ", "of", " ", "pursuit", " "}], FontFamily->"Times New Roman"]}], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, 3.480033930619852*^9, 3.4803041109372797`*^9}], Cell[BoxData[ GraphicsBox[{InsetBox[ GraphicsBox[{}, PlotRange->{{0, 1}, {0, 1}}], Scaled[{0.5, 0.5}], Center, Scaled[{0.5, 0.5}]], {GrayLevel[0.], AbsoluteThickness[0.5], Opacity[1.], Dashing[{}], StyleBox[ LineBox[{{-1.4340000000000002`, -0.9172500000000001}, \ {-1.4260000000000002`, 1.26675}}], FontColor->GrayLevel[0.]]}, {GrayLevel[0.], AbsoluteThickness[0.5], Opacity[1.], Dashing[{}], StyleBox[ LineBox[{{-1.4260000000000002`, -0.9092500000000001}, { 1.654, -0.9172500000000001}}], FontColor->GrayLevel[0.]]}, {GrayLevel[0.], AbsolutePointSize[3.], AbsoluteThickness[0.5], Opacity[1.], Dashing[{}], Arrowheads[0.04], EdgeForm[None], StyleBox[InsetBox[Cell["(0,0)", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline-> Baseline], {-1.5779999999999998`, -1.0292500000000002`}, { Left, Baseline}], FontColor->GrayLevel[0.]]}, {GrayLevel[0.], AbsolutePointSize[3.95], Opacity[1.], StyleBox[PointBox[{-1.4260000000000002`, 0.6587500000000004}], FontColor->GrayLevel[0.]]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["Dog's initial position", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-1.338, 1.09875}, {Left, Baseline}]}, {Arrowheads[0.018000000000000002`], ArrowBox[{{-1.25, 1.0187499999999998`}, {-1.3780000000000001`, 0.7227499999999996}}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["(0,a)", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-1.722, 0.6427500000000004}, { Left, Baseline}]}, InsetBox[ GraphicsBox[{}], Scaled[{0.516, 0.484}], Center, Scaled[{0.5, 0.5}]], {GrayLevel[0], AbsoluteThickness[1.05], Opacity[1], Dashing[{}], LineBox[CompressedData[" 1:eJxlk39IU1EUxx8SIREiERIhsUJEEFGJUCm5k5I0E2dCiEQMqYgQG2IhYbGo EDFRqVAwaWKiQcQMNUnp+1BTMZGl88fM6dSZzp9TNzUi6J679d4fPdiPz333 3nPO93vOydy7V24GSJJ0iX/oN740Sb9o2YVh6fe7rREnczbW9mrMu4g4+PjV +bIFhSeLXOGxgSrHfKzbbOqbZ5Xd3ohrFf+zI4wuULmyOv/IE3lOYe2hiQZD osruYnbm+meHwintO3+sRQ52bjajvDp/F7o4SnRGYXNozo2zs3a2TGmn70Iu fHHswNVphS1D9Eyxl3w1KOpffjaFffEnmZZHTT3M788Nzk5oHVdYz78DIsfY WmbHiWerXshvjkfbw6wKW/ayFhprR1gNlTXohS9vC3M39aXFlXrhu2eYveZq Fdz2QhLPEEuZe3D0w0UvaLVqfUBhI1c7b6mfXRZ1eiBFloTYhnvYPoXp9UDz 49ejO10ye2tI5Jl7YORv97I6ma6chPVAvv+FZ9jGmil8kgdann1JSAvzxeX7 RZ71TIQt3oEUY+cO3UPrAB3k/K0+uX2nDuKYbRtGUX8TuMhc8G1ID8mfFnQJ nfl70S9tCsvCj0/gMfg9W9BS+nudEOVXbcEh+keGCBe9BZP40wNh05AbDu62 K/wrLKeoUDc0p+nph1Wcc0NOJ4MGkC0S2oRE1SQPwky2pqncQWmXbEBLNmUO IVisb8C4Tg02jNBoqnsd+ipasKCQ5GDrMNP2DgusIs4adAmkzHc8FQWtwiR0 HcHzPCp8BVrh2yh886Cyr79WUCn0HsWFMjrgQoyYMytMwr9lv39j0JG9GpWz K6iRlmBpoI1j0Av9f0ITG/g+NGfcP6eLMJCM9nF/nzshU3r6CRjJplQn9Lfo mfT3/YLC8dSWASovC8HnYaZxc02ihtrw9xwkGv88G0wkb5zK+7zLu70O6IKi +M02NFP5BSr75nJWYb2oZxYmsW/KP6czCmtoe4ZdYV890wr/BSdqmcw= "]]}, {AbsolutePointSize[5.17], PointBox[{-0.578000000000001, -0.38525000000000065`}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell[TextData[{ Cell[BoxData[ FormBox[ SubscriptBox["V", "D"], TraditionalForm]], FormatType->"TraditionalForm"], StyleBox["t", FontSlant->"Italic"] }], GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-1.17, 0.09074999999999989}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["D(x,y)", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-0.6340000000000003, -0.2452500000000004}, { Left, Baseline}]}, {GrayLevel[0], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], LineBox[{{-0.5780000000000003, -0.41325000000000056`}, \ {-0.5860000000000003, -0.917250000000001}}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["y", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-0.6820000000000004, -0.6532500000000008}, { Left, Baseline}]}, {GrayLevel[0], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], LineBox[{{-0.562107142857144, -0.40517045454545403`}, { 1.1978928571428558`, -0.9172916666666666}}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell[TextData[{ "(", Cell[BoxData[ FormBox[ RowBox[{ SubscriptBox["V", "C"], "t"}], TraditionalForm]], FormatType->"TraditionalForm"], ",0)" }], GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {1.0700000000000003`, -1.0132500000000002`}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell[TextData[Cell[BoxData[ FormBox[ RowBox[{ RowBox[{ SubscriptBox["V", "C"], "t"}], "-", "x"}], TraditionalForm]], FormatType->"TraditionalForm"]], GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-0.09799999999999986, -0.845250000000001}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["x", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-1.0369333333333328`, -0.8556500000000007}, { Left, Baseline}, Offset[{17.066666666666666`, 13.6}], {{ 2.1333333333333337`, -1.0066022089934752`*^-15}, {0., 1.1333333333333322`}}]}, {GrayLevel[0], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], LineBox[{{0.6459999999999999, -0.7572500000000009}, { 0.6139999999999999, -0.7732500000000009}, { 0.5979999999999999, -0.7732500000000009}, { 0.5899999999999999, -0.7892500000000009}, { 0.5739999999999998, -0.8052500000000009}, { 0.5579999999999998, -0.82925}, { 0.5499999999999998, -0.8612500000000001}, { 0.5499999999999998, -0.869250000000001}, { 0.5499999999999998, -0.8772500000000001}, { 0.5499999999999998, -0.885250000000001}, { 0.5499999999999998, -0.8932500000000001}, { 0.5499999999999998, -0.901250000000001}}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["\[Theta]", CellBaseline->Baseline], {0.6139999999999999, -0.853250000000001}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["X", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {1.646, -0.9972500000000011}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["Y", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-1.5539999999999998`, 1.29075}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox["", {0.17400000000000038`, -0.29325000000000045`}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["y'", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {0.2140000000000004, -0.5572499999999998}, { Left, Baseline}]}, {Arrowheads[0.02], ArrowBox[{{-1.4260000000000002`, -0.917250000000001}, \ {-0.5860000000000003, -0.917250000000001}}]}, {Arrowheads[0.019999999999999997`], ArrowBox[{{ 1.1660000000000004`, -0.9172500000000001}, {-0.5859999999999994, \ -0.9172500000000001}}]}, {Arrowheads[0.02], ArrowBox[{{-0.5300000000000002, -0.9252500000000001}, { 1.1899999999999995`, -0.9172500000000001}}]}, {Arrowheads[0.02], ArrowBox[{{-0.6340000000000003, -0.9172500000000001}, \ {-1.4340000000000002`, -0.9092500000000001}}]}}, Axes->False, AxesOrigin->{0, 0}, Frame->False, FrameTicks->None, ImageSize->{289., 289.}, PlotRange->2, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Input", TextAlignment->Center], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{ StyleBox[ RowBox[{"there", ".", " ", "This"}], FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["makes", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["the", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["slope", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["of", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["the", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["curve", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["at", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["P", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[" ", FontSlant->"Italic"], StyleBox["be", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[" ", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[ RowBox[{"y", "'"}], FontFamily->"Times New Roman", FontSlant->"Italic"]}], StyleBox["=", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[ RowBox[{ StyleBox[ RowBox[{ StyleBox["tan", FontSlant->"Italic"], "\[Theta]"}]], "=", RowBox[{ FractionBox[ RowBox[{"-", StyleBox["y", FontSlant->"Italic"]}], RowBox[{ FormBox[ RowBox[{ SubscriptBox["V", "C"], StyleBox["t", FontSlant->"Italic"]}], TraditionalForm], "-", "x"}]], ".", " ", "Therefore"}]}], FontFamily->"Times New Roman"]}], StyleBox[",", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox[ RowBox[{"at", " ", StyleBox["P", FontSlant->"Italic"]}], FontFamily->"Times New Roman"]}], "\[LineSeparator]", RowBox[{ RowBox[{ RowBox[{ RowBox[{ StyleBox[ StyleBox[ StyleBox["(", "Text"], "Text", FontWeight->"Plain"], FontFamily->"Times New Roman"], StyleBox[ StyleBox[ RowBox[{ StyleBox["2", "Text", FontFamily->"Times New Roman"], ".2"}]], "Text", FontFamily->"Times New Roman"], StyleBox[")", "Text"]}], StyleBox[" ", "Text"], StyleBox[ FractionBox["dy", "dx"], "Text", FontFamily->"Times New Roman", FontSlant->"Italic"]}], StyleBox["=", "Text", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[ FractionBox["y", RowBox[{"x", "-", FormBox[ RowBox[{ SubscriptBox["V", "C"], StyleBox["t", FontSlant->"Italic"]}], TraditionalForm]}]], "Text", FontFamily->"Times New Roman", FontSlant->"Italic"]}], StyleBox[";", "Text", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[" ", "Text", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[ RowBox[{ FractionBox["dx", "dy"], "=", FractionBox[ RowBox[{"x", "-", FormBox[ RowBox[{ SubscriptBox["V", "C"], StyleBox["t", FontSlant->"Italic"]}], TraditionalForm]}], "y"]}], "Text", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[";", "Text", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[" ", "Text", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[ RowBox[{"t", "=", RowBox[{ FractionBox["1", FormBox[ SubscriptBox["V", "C"], TraditionalForm]], RowBox[{ RowBox[{"(", RowBox[{"x", "-", RowBox[{"y", " ", FractionBox["dy", "dx"]}]}], ")"}], " ", "."}]}]}], "Text", FontFamily->"Times New Roman", FontSlant->"Italic"]}]}], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, 3.480033930619852*^9, 3.4803041109372797`*^9, 3.481061821350852*^9}], Cell[BoxData[ StyleBox[ RowBox[{"Now", ",", " ", RowBox[{"by", " ", "equating", " ", "the", " ", "values", " ", "of", StyleBox[" ", FontSlant->"Italic"], StyleBox["t", FontSlant->"Italic"], " ", "in", " ", RowBox[{"(", StyleBox[ RowBox[{"2", ".1"}]], ")"}], " ", "and", " ", RowBox[{"(", StyleBox[ RowBox[{"2", ".2"}]], ")"}], " ", "we", " ", "get"}]}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033934624226*^9}, {3.4802556341315403`*^9, 3.480255639622184*^9}, {3.481061886834887*^9, 3.481061888601837*^9}}], Cell[BoxData[ StyleBox[ RowBox[{ RowBox[{ RowBox[{ StyleBox[ StyleBox["(", "Text"], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], StyleBox[ RowBox[{"2", ".3"}]], StyleBox[ StyleBox[")", "Text"], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"]}], StyleBox[ RowBox[{ StyleBox[" ", "Text", FontFamily->"Times New Roman"], " ", StyleBox[" ", "Text", FontFamily->"Times New Roman"]}]], StyleBox[" ", "Text", FontFamily->"Times New Roman"], StyleBox[" ", "Text", FontFamily->"Times New Roman"], StyleBox[" ", "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ RowBox[{ StyleBox[" ", "Text"], StyleBox[" ", FontWeight->"Plain"]}]], "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ FractionBox["1", FormBox[ SubscriptBox["V", "C"], TraditionalForm]], "Text", FontFamily->"Times New Roman"], FontSlant->"Italic"], StyleBox[ StyleBox[ RowBox[{"(", RowBox[{"x", "-", RowBox[{"y", " ", FractionBox["dy", "dx"]}]}], ")"}], "Text", FontFamily->"Times New Roman"], FontSlant->"Italic"]}], StyleBox[ StyleBox["=", "Text", FontFamily->"Times New Roman"], FontSlant->"Italic"], RowBox[{ StyleBox[ FractionBox[ RowBox[{"-", "1"}], SubscriptBox["V", "D"]], FontSlant->"Italic"], RowBox[{ StyleBox[ SubsuperscriptBox["\[Integral]", StyleBox["a", "Text", FontFamily->"Times", FontSize->9], "y"], FontSlant->"Italic"], RowBox[{ StyleBox[ SqrtBox[ RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", FractionBox["dx", "dy"], ")"}], "2"]}]], FontSlant->"Italic"], RowBox[{ StyleBox[ RowBox[{"\[DifferentialD]", "y"}], FontSlant->"Italic"], StyleBox[" ", FontSlant->"Italic"], StyleBox[".", "Text"]}]}]}]}]}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033937917948*^9}, 3.480252237055315*^9, 3.481061822891259*^9}], Cell[BoxData[ StyleBox[ RowBox[{"Differentiation", " ", "of", " ", RowBox[{"(", StyleBox[ RowBox[{"2", ".3"}]], ")"}], " ", "with", " ", "respect", " ", "to", " ", "y", " ", "gives"}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033940676445*^9}, {3.480255645392617*^9, 3.48025564561707*^9}, 3.481061884526973*^9}], Cell[BoxData[ StyleBox[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", StyleBox[ RowBox[{"2", ".4"}]], ")"}], " ", StyleBox[ RowBox[{" ", StyleBox[" ", "Text"]}]], " ", " ", " ", StyleBox[ StyleBox[ FractionBox["1", FormBox[ SubscriptBox["V", "C"], TraditionalForm]], "Text", FontFamily->"Times New Roman"], FontSlant->"Italic"], StyleBox[ RowBox[{ StyleBox["(", "Text", FontFamily->"Times New Roman"], RowBox[{ FractionBox["dx", "dy"], "-", RowBox[{"y", " ", FractionBox[ RowBox[{ SuperscriptBox["d", "2"], "x"}], SuperscriptBox["dy", "2"]]}], "-", FractionBox["dx", "dy"]}], ")"}], FontSlant->"Italic"]}], StyleBox["=", FontSlant->"Italic"], StyleBox[ RowBox[{ FractionBox[ RowBox[{"-", "1"}], SubscriptBox["V", "D"]], SqrtBox[ RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", FractionBox["dx", "dy"], ")"}], "2"]}]]}], FontSlant->"Italic"]}], StyleBox[",", FontSlant->"Italic"]}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033942746058*^9}, {3.480255583072378*^9, 3.480255587199449*^9}, 3.48106182561411*^9}], Cell[BoxData[{ StyleBox[ RowBox[{ RowBox[{ StyleBox[ StyleBox["Now", "Text"], "Text", FontWeight->"Plain"], StyleBox[ StyleBox[",", "Text"], "Text", FontWeight->"Plain"], StyleBox[" ", "Text", FontWeight->"Plain"], RowBox[{ StyleBox["replacing", "Text", FontWeight->"Plain"], StyleBox[ StyleBox[ RowBox[{" ", StyleBox[" ", "Text", FontFamily->"Times New Roman", FontWeight->"Plain"]}]], "Text", FontWeight->"Plain"], StyleBox[ FractionBox[ SubscriptBox["V", "C"], SubscriptBox["V", "D"]], "Text", FontSlant->"Italic"], StyleBox[" ", "Text", FontWeight->"Plain"], StyleBox[ StyleBox[ RowBox[{"w", StyleBox["i", "Text", FontFamily->"Times New Roman"], "th"}]], "Text", FontWeight->"Plain"], StyleBox[" ", "Text", FontWeight->"Plain"], StyleBox["a", "Text", FontFamily->"Times New Roman"], StyleBox[" ", "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ RowBox[{ StyleBox["n", "Text", FontFamily->"Times New Roman"], "ew"}]], "Text"], StyleBox[" ", "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ RowBox[{ StyleBox["c", "Text", FontFamily->"Times New Roman"], "on", StyleBox["s", "Text", FontFamily->"Times New Roman"], "ta", StyleBox["n", "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox["t", "Text", FontFamily->"Times New Roman"], "Text", FontFamily->"Times New Roman"]}]], "Text"], StyleBox[" ", "Text"], StyleBox["k", "Text", FontSlant->"Italic"], StyleBox[" ", "Text"], StyleBox["we", "Text", FontFamily->"Times New Roman"], StyleBox[" ", "Text", FontWeight->"Plain"], StyleBox[ StyleBox["get", "Text"], "Text", FontWeight->"Plain"], StyleBox[" ", "Text", FontWeight->"Plain"], StyleBox[ StyleBox["the", "Text"], "Text", FontWeight->"Plain"], StyleBox[" ", "Text", FontWeight->"Plain"], StyleBox["second", "Text", FontFamily->"Times New Roman"], StyleBox[" ", "Text", FontWeight->"Plain"], StyleBox["order", "Text", FontWeight->"Plain"], StyleBox[" ", "Text", FontWeight->"Plain"], "nonlinear"}]}], " "}], FontFamily->"Times New Roman"], "\[IndentingNewLine]", StyleBox[ RowBox[{"differential", " ", "equation"}], "Text", FontFamily->"Times New Roman"]}], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.4800339452987413`*^9}}], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ StyleBox[ RowBox[{ StyleBox[ StyleBox["(", "Text"], "Text", FontFamily->"Times New Roman"], StyleBox[ RowBox[{ StyleBox[ StyleBox["2", "Text", FontFamily->"Times New Roman"], "Text", FontFamily->"Times New Roman"], ".5"}]], StyleBox[ StyleBox[")", "Text"], "Text", FontFamily->"Times New Roman"]}], "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ RowBox[{ StyleBox[" ", "Text", FontFamily->"Times New Roman"], StyleBox[" ", FontWeight->"Plain"]}]], "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ RowBox[{ StyleBox[" ", "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], " "}]], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], StyleBox[ StyleBox[ StyleBox[ RowBox[{" ", StyleBox[" ", "Text", FontFamily->"Times New Roman"]}]], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ StyleBox[ RowBox[{" ", StyleBox[" ", "Text", FontFamily->"Times New Roman"]}]], "Text", FontFamily->"Times New Roman"], "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ StyleBox[ RowBox[{" ", StyleBox[" ", "Text", FontFamily->"Times New Roman"]}]], "Text", FontFamily->"Times New Roman"], "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ StyleBox[ RowBox[{" ", StyleBox[" ", "Text", FontFamily->"Times New Roman"]}]], "Text", FontFamily->"Times New Roman"], "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ StyleBox[ RowBox[{" ", StyleBox[" ", "Text", FontFamily->"Times New Roman"]}]], "Text", FontFamily->"Times New Roman"], "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ StyleBox[ RowBox[{" ", StyleBox[" ", "Text", FontFamily->"Times New Roman"]}]], "Text", FontFamily->"Times New Roman"], "Text", FontFamily->"Times New Roman"], StyleBox[" ", "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ RowBox[{" ", StyleBox[" ", "Text", FontFamily->"Times New Roman"]}]], "Text", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[" ", "Text", FontFamily->"Times New Roman"], StyleBox[ StyleBox[ StyleBox[ StyleBox["y", "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], FontSlant->"Italic"], StyleBox[ StyleBox[ StyleBox[ StyleBox[ StyleBox[ StyleBox[ FractionBox[ RowBox[{ SuperscriptBox["d", "2"], "y"}], SuperscriptBox["dx", "2"]], "Text", FontSlant->"Italic"], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], FontSlant->"Italic"]}], StyleBox[ StyleBox[ StyleBox["=", "Text"], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], FontSlant->"Italic"], StyleBox[ StyleBox[ StyleBox[ RowBox[{"k", SqrtBox[ RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", StyleBox[ FractionBox["dy", "dx"], FontSlant->"Italic"], ")"}], "2"]}]]}], "Text"], "Text", FontFamily->"Times New Roman", FontWeight->"Plain"], FontSlant->"Italic"]}], StyleBox[ StyleBox[",", "Text"], FontSlant->"Italic"], StyleBox[" ", FontSlant->"Italic"], StyleBox[ RowBox[{ StyleBox["k", "Text"], StyleBox["=", "Text"], RowBox[{ FractionBox[ SubscriptBox["V", "C"], SubscriptBox["V", "D"]], "."}]}], FontFamily->"Times New Roman", FontSlant->"Italic"]}]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033947357443*^9}, {3.4802555799325123`*^9, 3.480255580760867*^9}, 3.481061828998745*^9}], Cell[BoxData[ StyleBox[ RowBox[{ StyleBox[ RowBox[{ StyleBox["N", FontSlant->"Italic"], "ow"}]], " ", "we", " ", "must", " ", "reduce", " ", "the", " ", "order", " ", "by", " ", "letting"}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033951519527*^9}}], Cell[BoxData[ StyleBox[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", StyleBox[ RowBox[{"2", ".6"}]], ")"}], StyleBox[ RowBox[{" ", StyleBox[" ", FontSlant->"Italic"]}]], StyleBox[" ", FontSlant->"Italic"], StyleBox["u", FontSlant->"Italic"]}], StyleBox["=", FontSlant->"Italic"], StyleBox[ FractionBox[ StyleBox["dx", FontFamily->"Times New Roman", FontSlant->"Italic"], "dy"], FontSlant->"Italic"]}], StyleBox[",", FontSlant->"Italic"], StyleBox[" ", FontSlant->"Italic"], RowBox[{ StyleBox[ FractionBox["du", "dy"], FontSlant->"Italic"], StyleBox["=", FontSlant->"Italic"], RowBox[{ StyleBox[ FractionBox[ RowBox[{ SuperscriptBox["d", "2"], "x"}], SuperscriptBox["dy", "2"]], FontSlant->"Italic"], "."}]}]}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033955993095*^9}, {3.480255576412033*^9, 3.480255578071331*^9}, 3.4810618309564867`*^9}], Cell[BoxData[ StyleBox[ RowBox[{ RowBox[{"Substituting", " ", "these", " ", "values", " ", "in", " ", RowBox[{"(", StyleBox[ RowBox[{"2", ".5"}]], ")"}]}], ",", " ", RowBox[{ "we", " ", "obtain", " ", "the", " ", "system", " ", "of", " ", "first", " ", "order", " ", "equations"}]}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033957987809*^9}, {3.4802556207785683`*^9, 3.48025562145315*^9}, 3.481061881231179*^9}], Cell[BoxData[ StyleBox[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", StyleBox[ RowBox[{"2", ".7"}]], ")"}], StyleBox[ RowBox[{" ", StyleBox[" ", FontSlant->"Italic"]}]], StyleBox[" ", FontSlant->"Italic"], StyleBox[ FractionBox[ StyleBox["dx", FontFamily->"Times New Roman"], "dy"], FontSlant->"Italic"]}], StyleBox["=", FontSlant->"Italic"], StyleBox["u", FontSlant->"Italic"]}], StyleBox[",", FontSlant->"Italic"], StyleBox[" ", FontSlant->"Italic"], StyleBox[ RowBox[{ RowBox[{"y", " ", FractionBox["du", "dy"]}], "=", RowBox[{"k", RowBox[{ SqrtBox[ RowBox[{"1", "+", SuperscriptBox["u", "2"]}]], "."}]}]}], FontSlant->"Italic"]}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033959775341*^9}, {3.480255573384467*^9, 3.480255575453681*^9}, 3.4810618374003887`*^9}], Cell[BoxData[ StyleBox[ RowBox[{ "By", " ", "separating", " ", "and", " ", "integrating", " ", "the", " ", "solution", " ", "to", " ", "the", " ", "second", " ", "equation", " ", "in", " ", RowBox[{"(", StyleBox[ RowBox[{"2", ".7"}]], ")"}], " ", "is"}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033961349936*^9}, 3.481061878498876*^9}], Cell[BoxData[ RowBox[{ RowBox[{ StyleBox[ RowBox[{"(", StyleBox[ RowBox[{"2", ".8"}]], ")"}], FontFamily->"Times New Roman"], " ", StyleBox["log", FontFamily->"Times New Roman"], StyleBox[ RowBox[{"(", RowBox[{"u", "+", SqrtBox[ RowBox[{"1", "+", SuperscriptBox["u", "2"]}]]}], ")"}], FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ StyleBox["=", FontFamily->"Times New Roman"], RowBox[{ StyleBox[ RowBox[{ StyleBox["k", FontSlant->"Italic"], StyleBox[" ", FontSlant->"Italic"], "log", " ", StyleBox["y", FontSlant->"Italic"]}], FontFamily->"Times New Roman"], StyleBox[ RowBox[{"+", "log"}], FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], SubscriptBox[ StyleBox["c", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["1", FontSlant->"Italic"]]}]}]}], StyleBox[",", FontFamily->"Times New Roman"]}]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.4800339626773443`*^9}, {3.48025557131301*^9, 3.480255572055697*^9}, 3.481061838874145*^9}], Cell[BoxData[ StyleBox[ RowBox[{"which", " ", "we", " ", "can", " ", "write", " ", "as"}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.4800339642413597`*^9}}], Cell[BoxData[ RowBox[{ RowBox[{ StyleBox[ RowBox[{"(", StyleBox[ RowBox[{ StyleBox[ StyleBox["2", "Text", FontFamily->"Times New Roman"], "Text", FontFamily->"Times New Roman"], ".9"}]], ")"}], "Text", FontFamily->"Times New Roman"], StyleBox[" ", "Text", FontWeight->"Plain"], StyleBox[ SqrtBox[ RowBox[{"1", "+", SuperscriptBox["u", "2"]}]], FontFamily->"Times New Roman", FontSlant->"Italic"]}], StyleBox["=", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[ RowBox[{ RowBox[{ SubscriptBox["c", "1"], SuperscriptBox["y", "k"]}], "-", "u"}], FontFamily->"Times New Roman", FontSlant->"Italic"]}]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033965568184*^9}, {3.480255568524086*^9, 3.4802555698958073`*^9}, 3.481061840043929*^9}], Cell[BoxData[ StyleBox[ RowBox[{"Squaring", " ", RowBox[{"(", StyleBox[ RowBox[{"2", ".9"}]], ")"}], " ", "and", " ", "simplifying", " ", "the", " ", "result", " ", "yields"}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.4800339665682287`*^9}, 3.481061875843362*^9}], Cell[BoxData[ StyleBox[ RowBox[{"1", "=", RowBox[{ RowBox[{ SuperscriptBox[ SubscriptBox["c", "1"], "2"], SuperscriptBox["y", RowBox[{"2", "k"}]]}], "-", RowBox[{"2", SubscriptBox["c", "1"], SuperscriptBox["y", "k"], RowBox[{"u", "."}]}]}]}], FontFamily->"Times New Roman", FontSlant->"Italic"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033967671834*^9}, 3.4802514947822247`*^9, 3.480255560447891*^9}, TextAlignment->Center], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{ StyleBox["Now", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox[ RowBox[{"let", "'"}], FontFamily->"Times New Roman"], StyleBox["s", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["plug", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["in", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["the", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["initial", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["conditions", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["to", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["find", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox[ RowBox[{ StyleBox[ SubscriptBox["c", "1"], FontSlant->"Italic"], StyleBox[".", FontSlant->"Italic"], StyleBox[" ", FontSlant->"Italic"], "Remember"}], FontFamily->"Times"]}], StyleBox[",", FontFamily->"Times"], StyleBox[" ", FontFamily->"Times"], StyleBox[ RowBox[{"t", "=", "0"}], FontFamily->"Times", FontSlant->"Italic"], StyleBox[",", FontFamily->"Times", FontSlant->"Italic"], StyleBox[ RowBox[{"x", "=", "0"}], FontFamily->"Times", FontSlant->"Italic"], StyleBox[",", FontFamily->"Times"], StyleBox[" ", FontFamily->"Times"], StyleBox[ RowBox[{ StyleBox["y", FontSlant->"Italic"], StyleBox["=", FontSlant->"Italic"], RowBox[{ StyleBox["a", FontSlant->"Italic"], StyleBox[" ", FontSlant->"Italic"], StyleBox["and", FontSlant->"Plain"]}]}], FontFamily->"Times"]}], StyleBox[" ", FontSlant->"Plain"]}], "\[LineSeparator]", RowBox[{ StyleBox[" ", FontFamily->"Times", FontSlant->"Italic"], StyleBox[ RowBox[{"u", "=", RowBox[{ RowBox[{"dx", "/", "dy"}], "=", "0"}]}], FontFamily->"Times", FontSlant->"Italic"]}]}], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.4800339687623987`*^9}, {3.48025133418666*^9, 3.480251355033414*^9}, {3.480251392378149*^9, 3.480251418352275*^9}, { 3.480254867309761*^9, 3.480254949407762*^9}}], Cell[BoxData[ RowBox[{ RowBox[{ StyleBox[ RowBox[{"(", StyleBox[ RowBox[{"2", ".10"}]], ")"}], FontSlant->"Plain"], StyleBox[ RowBox[{ StyleBox[" ", FontSlant->"Plain"], StyleBox[" ", FontSlant->"Italic"]}]], StyleBox["1", FontSlant->"Italic"]}], StyleBox["=", FontSlant->"Italic"], RowBox[{ RowBox[{ RowBox[{ StyleBox[ SuperscriptBox[ SubscriptBox["c", "1"], "2"], FontSlant->"Italic"], SuperscriptBox["a", RowBox[{"2", "k"}]]}], StyleBox["-", FontSlant->"Italic"], RowBox[{ StyleBox["2", FontSlant->"Italic"], StyleBox[ SubscriptBox["c", "1"], FontSlant->"Italic"], StyleBox[ SuperscriptBox["y", "k"], FontSlant->"Italic"], RowBox[{ StyleBox[ RowBox[{"(", "0", ")"}], FontSlant->"Italic"], StyleBox[" ", FontSlant->"Italic"], "\[DoubleLongRightArrow]", " ", StyleBox[ SubscriptBox["c", "1"], FontSlant->"Italic"]}]}]}], StyleBox["=", FontSlant->"Italic"], StyleBox[ SuperscriptBox["a", RowBox[{"-", "k"}]], FontSlant->"Italic"]}]}]], "Text", CellChangeTimes->{{3.480251431412274*^9, 3.480251480135049*^9}, { 3.480251533029578*^9, 3.480251554022003*^9}, {3.480255662225865*^9, 3.480255662853195*^9}, 3.481061841812428*^9}, FontFamily->"Times"], Cell["This now gives us", "Text", CellChangeTimes->{{3.4802515855755672`*^9, 3.480251592043873*^9}, { 3.48025175652352*^9, 3.4802517578060427`*^9}}], Cell[BoxData[ RowBox[{ StyleBox[ RowBox[{ RowBox[{"(", StyleBox[ RowBox[{"2", ".11"}]], ")"}], StyleBox[ RowBox[{" ", StyleBox[" ", FontSlant->"Italic"]}]], StyleBox["u", FontSlant->"Italic"], StyleBox[ RowBox[{"=", FractionBox[ RowBox[{ RowBox[{ StyleBox[ SuperscriptBox["a", RowBox[{ RowBox[{"-", "2"}], "k"}]], FontSlant->"Italic"], SuperscriptBox["y", RowBox[{"2", "k"}]]}], "-", "1"}], RowBox[{"2", StyleBox[ SuperscriptBox["a", RowBox[{"-", "k"}]], FontSlant->"Italic"], SuperscriptBox["y", "k"]}]]}], FontSlant->"Italic"]}], FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["=", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[" ", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[ RowBox[{ RowBox[{ FractionBox["1", "2"], "[", RowBox[{ SuperscriptBox[ RowBox[{"(", StyleBox[ FractionBox[ StyleBox["y", FontSlant->"Italic"], "a"], FontFamily->"Times", FontSlant->"Italic"], ")"}], StyleBox["k", FontSlant->"Italic"]], "-", SuperscriptBox[ RowBox[{"(", StyleBox[ FractionBox["y", "a"], FontSlant->"Italic"], ")"}], StyleBox[ RowBox[{"-", "k"}], FontSlant->"Italic"]]}], "]"}], "."}], FontFamily->"Times"]}]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033969910475*^9}, {3.480251605379135*^9, 3.480251708041223*^9}, {3.480251783716825*^9, 3.4802518202001123`*^9}, 3.480251872678803*^9, {3.4802556645762672`*^9, 3.480255669233567*^9}, 3.4810618433209*^9}], Cell[BoxData[ StyleBox[ RowBox[{ RowBox[{ "Replacing", " ", "u", " ", "by", " ", "its", " ", "value", " ", "in", " ", RowBox[{"(", StyleBox[ RowBox[{"2", ".6"}]], ")"}]}], ",", " ", RowBox[{"we", " ", "have"}]}], FontFamily->"Times New Roman"]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033971057734*^9}, 3.481061872614908*^9}], Cell[BoxData[ RowBox[{ RowBox[{ StyleBox[ RowBox[{"(", StyleBox[ RowBox[{"2", ".12"}]], ")"}], FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox[ FractionBox[ StyleBox[ RowBox[{" ", "dx"}], FontFamily->"Times New Roman"], RowBox[{" ", "dy"}]], FontFamily->"Times", FontSlant->"Italic"]}], StyleBox["=", FontFamily->"Times", FontSlant->"Italic"], StyleBox[ RowBox[{ RowBox[{ FractionBox["1", "2"], "[", RowBox[{ SuperscriptBox[ RowBox[{"(", StyleBox[ FractionBox[ StyleBox["y", FontSlant->"Italic"], "a"], FontFamily->"Times", FontSlant->"Italic"], ")"}], StyleBox["k", FontSlant->"Italic"]], "-", SuperscriptBox[ RowBox[{"(", StyleBox[ FractionBox["y", "a"], FontSlant->"Italic"], ")"}], StyleBox[ RowBox[{"-", "k"}], FontSlant->"Italic"]]}], "]"}], "."}], FontFamily->"Times", FontSlant->"Italic"]}]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033972080813*^9}, {3.480251871445875*^9, 3.480251908732109*^9}, {3.4802556710320063`*^9, 3.4802556721573544`*^9}, 3.481061845051464*^9}], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{ StyleBox[ RowBox[{"If", " ", StyleBox["k", FontSlant->"Italic"]}], FontFamily->"Times New Roman"], StyleBox["=", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ StyleBox[ RowBox[{ StyleBox[ SubscriptBox["V", "C"], FontFamily->"Times New Roman"], StyleBox["/", FontFamily->"Times New Roman"], StyleBox[ SubscriptBox["V", "D"], FontFamily->"Times"]}], FontSlant->"Italic"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["is", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["not", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["equal", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["to", FontFamily->"Times New Roman"], StyleBox[" ", FontFamily->"Times New Roman"], StyleBox["one", FontFamily->"Times New Roman"]}]}], StyleBox[",", FontFamily->"Times New Roman"], StyleBox[ RowBox[{ "for", " ", "instance", " ", "the", " ", "speeds", " ", "of", " ", "the", " ", "two", " ", "animals", " ", "are", " ", "not"}], FontFamily->"Times New Roman"]}], StyleBox[" ", FontFamily->"Times New Roman"]}], "\[LineSeparator]", StyleBox[ RowBox[{ RowBox[{"the", " ", "same"}], ",", " ", RowBox[{"then", " ", "the", " ", "integration", " ", "of", " ", RowBox[{"(", StyleBox[ RowBox[{"2", ".12"}]], ")"}], " ", "gives", " "}]}], FontFamily->"Times New Roman"]}], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.4800339742850733`*^9}, 3.481061870162363*^9}], Cell[BoxData[ RowBox[{ StyleBox[" ", FontFamily->"Times New Roman"], RowBox[{ RowBox[{ StyleBox["x", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["=", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ RowBox[{ StyleBox[ FractionBox["1", "2"], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["[", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ StyleBox[ RowBox[{ StyleBox[ FractionBox["1", RowBox[{"k", "+", "1"}]], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["\[CenterDot]", FontFamily->"Times New Roman", FontSlant->"Italic"], FractionBox["1", StyleBox[ SuperscriptBox["a", "k"], FontSlant->"Italic"]], "\[CenterDot]", StyleBox[ SuperscriptBox["y", RowBox[{"k", "+", "1"}]], FontFamily->"Times New Roman", FontSlant->"Italic"]}], FontFamily->"Times"], StyleBox["+", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ StyleBox[ FractionBox["1", RowBox[{"(", RowBox[{"k", "-", "1"}], ")"}]], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["\[CenterDot]", FontFamily->"Times"], StyleBox[ FractionBox[ StyleBox["1", FontSlant->"Italic"], StyleBox[ SuperscriptBox["a", RowBox[{"-", "k"}]], FontSlant->"Italic"]], FontFamily->"Times"], StyleBox["\[CenterDot]", FontFamily->"Times"], StyleBox[ SuperscriptBox["y", RowBox[{ RowBox[{"-", "k"}], "+", "1"}]], FontFamily->"Times", FontSlant->"Italic"]}]}], StyleBox["]", FontFamily->"Times New Roman", FontSlant->"Italic"]}], StyleBox["+", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[ SubscriptBox["c", "2"], FontFamily->"Times New Roman", FontSlant->"Italic"]}]}], StyleBox[",", FontFamily->"Times"], StyleBox[ StyleBox[ RowBox[{ StyleBox[" ", FontFamily->"Times"], StyleBox[" ", FontFamily->"Times New Roman"]}]], FontSlant->"Italic"], StyleBox[" ", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[ RowBox[{"k", "=", RowBox[{ FractionBox[ SubscriptBox["V", "C"], SubscriptBox["V", "D"]], "\[NotEqual]", "1."}]}], FontFamily->"Times New Roman", FontSlant->"Italic"]}]}]], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.43768440034375*^9, 3.437684421890625*^9}, 3.437684473078125*^9, {3.437684532140625*^9, 3.43768463284375*^9}, { 3.43768467034375*^9, 3.43768472040625*^9}, {3.43768475634375*^9, 3.437684836890625*^9}, 3.437684869265625*^9, {3.437684920390625*^9, 3.437684987125*^9}, {3.43768530459375*^9, 3.437685536546875*^9}, { 3.43768556878125*^9, 3.43768566478125*^9}, {3.43768572634375*^9, 3.43768617665625*^9}, {3.4376862311875*^9, 3.437686258828125*^9}, { 3.43768648984375*^9, 3.4376865841875*^9}, {3.437686660875*^9, 3.43768678703125*^9}, {3.43769158309375*^9, 3.437691590625*^9}, { 3.43769165384375*^9, 3.437691917015625*^9}, {3.437691947078125*^9, 3.437692163875*^9}, {3.437692287375*^9, 3.4376925308125*^9}, { 3.437692577671875*^9, 3.437692585390625*^9}, {3.437692632375*^9, 3.437692943203125*^9}, {3.437692992609375*^9, 3.43769300803125*^9}, { 3.43769303821875*^9, 3.4376932*^9}, {3.437693274203125*^9, 3.437693278265625*^9}, {3.4376939696967273`*^9, 3.4376939819935236`*^9}, { 3.4376940177432947`*^9, 3.437694033758817*^9}, {3.4376941355081663`*^9, 3.437694290913421*^9}, {3.4376943259913216`*^9, 3.43769436224109*^9}, { 3.4376944218032084`*^9, 3.4376945159744806`*^9}, {3.437694867112859*^9, 3.437694874862809*^9}, {3.4376955410929203`*^9, 3.437695624170513*^9}, { 3.4376963155254636`*^9, 3.437696347994006*^9}, {3.4376964030405283`*^9, 3.437696475790063*^9}, {3.437696526492891*^9, 3.437696537211641*^9}, { 3.4376969471022654`*^9, 3.4376969542585154`*^9}, 3.4376971576960154`*^9, { 3.437698053649141*^9, 3.437698059836641*^9}, {3.4376980946960154`*^9, 3.4376980947897654`*^9}, {3.4376988804147654`*^9, 3.4376988845397654`*^9}, {3.4376989242897654`*^9, 3.4376989309460154`*^9}, {3.4376989778210154`*^9, 3.4376990260085154`*^9}, {3.437699069461641*^9, 3.437699086461641*^9}, { 3.478127399085075*^9, 3.4781273991769667`*^9}, {3.478127434200287*^9, 3.478127534577195*^9}, {3.478127693812868*^9, 3.4781278091885*^9}, { 3.478127951368742*^9, 3.47812795489983*^9}, {3.478128011250698*^9, 3.478128031635221*^9}, {3.4781280695164557`*^9, 3.478128199431381*^9}, { 3.4781285435248547`*^9, 3.4781285440868053`*^9}, {3.4781286557987957`*^9, 3.4781288937809277`*^9}, {3.4781289245504427`*^9, 3.47812893647441*^9}, { 3.478128985193142*^9, 3.478129124863391*^9}, {3.478129186002553*^9, 3.478129348472983*^9}, {3.478129399531485*^9, 3.478129641815608*^9}, { 3.4781316515303698`*^9, 3.478131660006073*^9}, {3.4781317265410967`*^9, 3.478131727554797*^9}, {3.4781320831032743`*^9, 3.478132089064081*^9}, { 3.478132243036161*^9, 3.4781322805724697`*^9}, {3.478132337953443*^9, 3.478132370521522*^9}, {3.478132421757173*^9, 3.478132424365356*^9}, { 3.478133528658646*^9, 3.478133535534484*^9}, {3.478133574797391*^9, 3.478134017861253*^9}, {3.4781341087331333`*^9, 3.478134562438059*^9}, { 3.478134656487862*^9, 3.478134815996211*^9}, {3.478134868326573*^9, 3.478134963161028*^9}, {3.4781350096288347`*^9, 3.478135082535139*^9}, { 3.4781351811186953`*^9, 3.478135617122875*^9}, {3.4781356811994057`*^9, 3.478135693898356*^9}, {3.478135807266076*^9, 3.478135815224126*^9}, { 3.478135878266988*^9, 3.4781360653900557`*^9}, {3.478136120341763*^9, 3.478136508738976*^9}, {3.478136546896392*^9, 3.478136737144752*^9}, { 3.4781367759182577`*^9, 3.47813677628937*^9}, {3.4781372985339117`*^9, 3.478137399273686*^9}, {3.47813746307305*^9, 3.478137562434875*^9}, { 3.4781376001657867`*^9, 3.47813775520148*^9}, 3.4781377985945463`*^9, { 3.478138750801948*^9, 3.478138755677227*^9}, {3.478390003296729*^9, 3.478390033592596*^9}, {3.478390207479685*^9, 3.478390251304673*^9}, { 3.4783902937773438`*^9, 3.478390358053447*^9}, {3.478392554594077*^9, 3.478392568739552*^9}, {3.478392658665957*^9, 3.478392693372211*^9}, { 3.478392784075138*^9, 3.478392785402404*^9}, {3.478393421962212*^9, 3.478393425445211*^9}, {3.478442947156652*^9, 3.478442947740966*^9}, { 3.4784435889010057`*^9, 3.478443615472941*^9}, {3.478443874709824*^9, 3.478443939125464*^9}, 3.478443990435287*^9, {3.478446024705985*^9, 3.478446067586214*^9}, {3.478446111349407*^9, 3.478446112188568*^9}, { 3.4788848912847357`*^9, 3.478884912873602*^9}, {3.479327908187092*^9, 3.479328080734563*^9}, {3.480031293627829*^9, 3.480031309284378*^9}, { 3.4800313480206423`*^9, 3.480031594369919*^9}, 3.480033856972198*^9, { 3.480033930619852*^9, 3.480033975511828*^9}, {3.480251999487039*^9, 3.480252098053495*^9}, {3.4802521627528553`*^9, 3.480252164190974*^9}, { 3.480252266203392*^9, 3.4802522858769503`*^9}, {3.4802556759951897`*^9, 3.4802556783118353`*^9}}, TextAlignment->Center], Cell[TextData[{ "Pulling out an ", StyleBox["a", FontSlant->"Italic"], " will simplify things to" }], "Text", CellChangeTimes->{{3.480252127529791*^9, 3.480252146805954*^9}}], Cell[BoxData[ RowBox[{ StyleBox[" ", FontFamily->"Times New Roman"], RowBox[{ RowBox[{ StyleBox[ RowBox[{ RowBox[{"(", StyleBox[ RowBox[{"2", ".13"}]], ")"}], StyleBox[ RowBox[{" ", StyleBox[" ", FontSlant->"Italic"]}]], StyleBox[" ", FontSlant->"Italic"], StyleBox["x", FontSlant->"Italic"]}], FontFamily->"Times New Roman"], StyleBox["=", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ RowBox[{ StyleBox[ FractionBox["a", "2"], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["[", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ RowBox[{ StyleBox[ FractionBox["1", RowBox[{"k", "+", "1"}]], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["\[CenterDot]", FontFamily->"Times"], StyleBox[ SuperscriptBox[ RowBox[{"(", FractionBox["y", "a"], ")"}], RowBox[{"k", "+", "1"}]], FontFamily->"Times New Roman", FontSlant->"Italic"]}], StyleBox["+", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ StyleBox[ FractionBox["1", RowBox[{"(", RowBox[{"k", "-", "1"}], ")"}]], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["\[CenterDot]", FontFamily->"Times"], StyleBox[ SuperscriptBox[ RowBox[{"(", StyleBox[ FractionBox["y", "a"], FontSlant->"Italic"], ")"}], StyleBox[ RowBox[{"1", "-", "k"}], FontSlant->"Italic"]], FontFamily->"Times"]}]}], StyleBox["]", FontFamily->"Times New Roman", FontSlant->"Italic"]}], StyleBox["+", FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox[ SubscriptBox["c", "2"], FontFamily->"Times New Roman", FontSlant->"Italic"]}]}], StyleBox[",", FontFamily->"Times"]}]}]], "Text", CellChangeTimes->{{3.480252174133774*^9, 3.480252219706417*^9}, { 3.4802522717015753`*^9, 3.48025227468299*^9}, {3.480252309207921*^9, 3.480252310962194*^9}, {3.4802556807202873`*^9, 3.48025568155125*^9}, 3.481061846885726*^9}], Cell[TextData[{ "and solving for ", Cell[BoxData[ StyleBox[ RowBox[{ SubscriptBox["c", "2"], ","}], FontFamily->"Times New Roman", FontSlant->"Italic"]], CellChangeTimes->{{3.480252174133774*^9, 3.480252219706417*^9}, { 3.4802522717015753`*^9, 3.48025227468299*^9}, {3.480252309207921*^9, 3.480252310962194*^9}}], "plugging in ", StyleBox["y=a", FontSlant->"Italic"], " in (2.13), gives us a path " }], "Text", CellChangeTimes->{{3.480252319454502*^9, 3.480252355733061*^9}, { 3.48025248585463*^9, 3.480252537416972*^9}, 3.48106186701003*^9}], Cell[BoxData[ RowBox[{ RowBox[{ StyleBox[ RowBox[{ StyleBox[ RowBox[{"(", "2.14", ")"}], FontSlant->"Plain"], StyleBox[ RowBox[{ StyleBox[" ", FontSlant->"Plain"], StyleBox[" ", FontSlant->"Italic"]}]], StyleBox["x", FontSlant->"Italic"]}], FontFamily->"Times New Roman"], StyleBox["=", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ RowBox[{ StyleBox[ FractionBox["a", "2"], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["[", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ RowBox[{ StyleBox[ FractionBox["1", RowBox[{"k", "+", "1"}]], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["\[CenterDot]", FontFamily->"Times"], StyleBox[ SuperscriptBox[ RowBox[{"(", FractionBox["y", "a"], ")"}], RowBox[{"k", "+", "1"}]], FontFamily->"Times New Roman", FontSlant->"Italic"]}], StyleBox["+", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ StyleBox[ FractionBox["1", RowBox[{"(", RowBox[{"k", "-", "1"}], ")"}]], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["\[CenterDot]", FontFamily->"Times"], SuperscriptBox[ RowBox[{"(", StyleBox[ FractionBox["y", "a"], FontFamily->"Times", FontSlant->"Italic"], ")"}], StyleBox[ RowBox[{"1", "-", "k"}], FontSlant->"Italic"]]}]}], StyleBox["]", FontFamily->"Times New Roman", FontSlant->"Italic"]}], StyleBox["-", FontFamily->"Times", FontSlant->"Italic"], StyleBox[ FractionBox["ak", RowBox[{ SuperscriptBox["k", "2"], "-", "1"}]], FontFamily->"Times", FontSlant->"Italic"]}]}], StyleBox[",", FontFamily->"Times", FontSlant->"Italic"], StyleBox[" ", FontFamily->"Times", FontSlant->"Italic"], StyleBox[ RowBox[{ StyleBox["k", FontSlant->"Italic"], "\[NotEqual]", "1."}], FontFamily->"Times"]}]], "Text", CellChangeTimes->{{3.480252556567493*^9, 3.480252586084997*^9}, { 3.480252660243909*^9, 3.480252664909223*^9}, 3.4802527970478477`*^9, { 3.480253993454591*^9, 3.480254003320177*^9}, {3.4802556836563873`*^9, 3.4802556842069902`*^9}, 3.4810618480348577`*^9}], Cell[TextData[{ "Now, assume that the cat is running towards a tree located on the x-axis. \ How close must the tree be for the cat, who is running slower than the dog, \ to reach it and be safe? Since the dog is moving faster, it will catch the \ cat along some point on the x-axis, since that's the cat's path. This makes \ the capture point ", StyleBox["p", FontFamily->"Times New Roman", FontWeight->"Bold", FontSlant->"Italic"], " look like (", Cell[BoxData[ FormBox[ SubscriptBox["x", StyleBox["p", FontFamily->"Times New Roman", FontWeight->"Bold", FontSlant->"Italic"]], TraditionalForm]]], ",0). So, by plugging in y=0 into (2.14), since this will be the dog's \ y-coordinate at the capture point, we get" }], "Text", CellChangeTimes->{{3.480252808896172*^9, 3.480252811479189*^9}, { 3.480253033141746*^9, 3.480253340220909*^9}, {3.48025338676315*^9, 3.480253484542094*^9}, 3.4810618510684013`*^9}], Cell[TextData[{ StyleBox["x = ", FontSlant->"Italic"], Cell[BoxData[ FormBox[ FractionBox["ak", RowBox[{"1", "-", SuperscriptBox["k", "2"]}]], TraditionalForm]], FormatType->"TraditionalForm", FontSlant->"Italic"], "," }], "Text", CellChangeTimes->{{3.480253493866314*^9, 3.480253539253875*^9}, { 3.4802535725261803`*^9, 3.480253577689392*^9}, {3.480255688286602*^9, 3.48025569241471*^9}}, TextAlignment->Center], Cell[TextData[{ "and this is our capture point for k < 1. This also means that if the tree \ is located less than ", StyleBox["ak", FontSlant->"Italic"], "/(", StyleBox["1-", FontSlant->"Italic"], Cell[BoxData[ FormBox[ SuperscriptBox["k", "2"], TraditionalForm]], FontSlant->"Italic"], ") from the origin on the x-axis, the cat will reach the tree before the dog \ reaches the cat and the cat will be safe. The next part will be to find the \ time it takes the dog to reach the cat given the tree is greater than ", StyleBox["ak", FontSlant->"Italic"], "/(", StyleBox["1-", FontSlant->"Italic"], Cell[BoxData[ FormBox[ SuperscriptBox["k", "2"], TraditionalForm]], FontSlant->"Italic"], ") from the origin. The cat's point at capture will be (", Cell[BoxData[ FormBox[ RowBox[{ SubscriptBox["V", "C"], "t"}], TraditionalForm]]], ",0), a distance ", Cell[BoxData[ FormBox[ RowBox[{ SubscriptBox["V", "C"], "\[CenterDot]", "t"}], TraditionalForm]]], " along the positive x-axis. Inserting this point into (2.14) gives" }], "Text", CellChangeTimes->{{3.480253579970603*^9, 3.480253954325124*^9}, { 3.480254011867968*^9, 3.480254035052497*^9}, 3.481061855367146*^9}], Cell[BoxData[ RowBox[{ StyleBox[" ", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ StyleBox[ FormBox[ RowBox[{ SubscriptBox["V", "C"], "t"}], TraditionalForm], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["=", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ RowBox[{ StyleBox[ FractionBox["a", "2"], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["[", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ RowBox[{ StyleBox[ FractionBox["1", RowBox[{"k", "+", "1"}]], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["\[CenterDot]", FontFamily->"Times"], StyleBox[ SuperscriptBox[ RowBox[{"(", FractionBox["0", "a"], ")"}], RowBox[{"k", "+", "1"}]], FontFamily->"Times New Roman", FontSlant->"Italic"]}], StyleBox["+", FontFamily->"Times New Roman", FontSlant->"Italic"], RowBox[{ StyleBox[ FractionBox["1", RowBox[{"(", RowBox[{"k", "-", "1"}], ")"}]], FontFamily->"Times New Roman", FontSlant->"Italic"], StyleBox["\[CenterDot]", FontFamily->"Times"], SuperscriptBox[ RowBox[{"(", StyleBox[ FractionBox["0", "a"], FontFamily->"Times", FontSlant->"Italic"], ")"}], StyleBox[ RowBox[{"1", "-", "k"}], FontSlant->"Italic"]]}]}], StyleBox["]", FontFamily->"Times New Roman", FontSlant->"Italic"]}], StyleBox["-", FontFamily->"Times", FontSlant->"Italic"], StyleBox[ FractionBox["ak", RowBox[{ SuperscriptBox["k", "2"], "-", "1"}]], FontFamily->"Times", FontSlant->"Italic"]}]}]}]], "Text", CellChangeTimes->{{3.480254066586225*^9, 3.480254073338175*^9}}, TextAlignment->Center], Cell[TextData[{ Cell[BoxData[ StyleBox[ FormBox[ RowBox[{ SubscriptBox["V", "C"], "t"}], TraditionalForm], FontFamily->"Times New Roman", FontSlant->"Italic"]], CellChangeTimes->{{3.480254066586225*^9, 3.480254073338175*^9}}], " = ", Cell[BoxData[ StyleBox[ RowBox[{"-", FractionBox["ak", RowBox[{ SuperscriptBox["k", "2"], "-", "1"}]]}], FontFamily->"Times", FontSlant->"Italic"]], CellChangeTimes->{{3.480254066586225*^9, 3.480254073338175*^9}}], "." }], "Text", CellChangeTimes->{{3.4802541016397963`*^9, 3.480254112388541*^9}, 3.48025433061554*^9, {3.480255710539155*^9, 3.4802557112246723`*^9}}, TextAlignment->Center], Cell[TextData[{ "Plugging in the value for ", StyleBox["k", FontSlant->"Italic"], " yields" }], "Text", CellChangeTimes->{{3.4802543330333014`*^9, 3.480254348467317*^9}}], Cell[TextData[{ Cell[BoxData[ StyleBox[ FormBox[ RowBox[{ SubscriptBox["V", "C"], "t"}], TraditionalForm], FontFamily->"Times New Roman", FontSlant->"Italic"]], CellChangeTimes->{{3.480254066586225*^9, 3.480254073338175*^9}}], " = ", Cell[BoxData[ FormBox[ StyleBox[ FractionBox[ RowBox[{"-", RowBox[{"a", "(", FractionBox[ SubscriptBox["V", "C"], SubscriptBox["V", "D"]], ")"}]}], RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox[ SubscriptBox["V", "C"], SubscriptBox["V", "D"]], ")"}], "2"], "-", "1"}]], FontSlant->"Italic"], TraditionalForm]], FormatType->"TraditionalForm"], " = ", Cell[BoxData[ FormBox[ StyleBox[ FractionBox[ RowBox[{"-", RowBox[{"a", "(", FractionBox[ SubscriptBox["V", "C"], SubscriptBox["V", "D"]], ")"}]}], FractionBox[ RowBox[{ SuperscriptBox[ SubscriptBox["V", "C"], "2"], "-", SuperscriptBox[ SubscriptBox["V", "D"], "2"]}], SuperscriptBox[ SubscriptBox["V", "D"], "2"]]], FontSlant->"Italic"], TraditionalForm]], FormatType->"TraditionalForm"], " = ", Cell[BoxData[ FormBox[ StyleBox[ FractionBox[ RowBox[{ RowBox[{"-", SubscriptBox["aV", "C"]}], SubscriptBox["V", "D"]}], RowBox[{ SuperscriptBox[ SubscriptBox["V", "C"], "2"], "-", SuperscriptBox[ SubscriptBox["V", "D"], "2"]}]], FontSlant->"Italic"], TraditionalForm]], FormatType->"TraditionalForm"] }], "Text", CellChangeTimes->{{3.480254147718541*^9, 3.4802542932511053`*^9}, { 3.4802543541824923`*^9, 3.480254354430098*^9}, {3.4802544189605*^9, 3.4802547085198793`*^9}, 3.4802557175260773`*^9}, TextAlignment->Center], Cell["in the end leaving us with", "Text", CellChangeTimes->{{3.480254733629242*^9, 3.480254741589356*^9}}], Cell[TextData[{ "(2.15)", StyleBox[" t", FontSlant->"Italic"], " = ", Cell[BoxData[ FormBox[ StyleBox[ FractionBox[ SubscriptBox["aV", "D"], RowBox[{ SuperscriptBox[ SubscriptBox["V", "D"], "2"], "-", SuperscriptBox[ SubscriptBox["V", "C"], "2"]}]], FontSlant->"Italic"], TraditionalForm]]], " seconds." }], "Text", CellChangeTimes->{{3.4802543639795713`*^9, 3.480254412377605*^9}, { 3.4802547471116247`*^9, 3.48025478762351*^9}, {3.480255023891697*^9, 3.4802550408075943`*^9}, {3.480255211331874*^9, 3.480255215382327*^9}, { 3.480255729111642*^9, 3.4802557370323772`*^9}, 3.481061858932754*^9}], Cell[TextData[{ "Just putting in some speeds and starting point we can actaully get t to be \ some number of seconds until capture. So, let's say ", Cell[BoxData[ FormBox[ SubscriptBox["V", "D"], TraditionalForm]]], "= 20 ft/sec while ", Cell[BoxData[ FormBox[ SubscriptBox["V", "C"], TraditionalForm]]], "=15 ft/sec and let's say the dog starts at (30,0). Knowing all this and \ using (2.15) we get a capture in" }], "Text", CellChangeTimes->{{3.480255078013871*^9, 3.4802552370143642`*^9}, { 3.480255378235487*^9, 3.4802553783006*^9}, 3.481061861496743*^9}], Cell[TextData[{ StyleBox["t", FontSlant->"Italic"], " = ", Cell[BoxData[ FormBox[ FractionBox[ RowBox[{"30", RowBox[{"(", "20", ")"}]}], RowBox[{ SuperscriptBox["20", "2"], "-", SuperscriptBox["15", "2"]}]], TraditionalForm]], FormatType->"TraditionalForm"], " = ", Cell[BoxData[ FormBox[ FractionBox["600", RowBox[{"400", "-", "225"}]], TraditionalForm]], FormatType->"TraditionalForm"], " = ", Cell[BoxData[ FormBox[ FractionBox["24", "7"], TraditionalForm]], FormatType->"TraditionalForm"], " or about 3.43 seconds." }], "Text", CellFrame->{{0, 0}, {2, 0}}, CellChangeTimes->{{3.48025524201959*^9, 3.480255442884211*^9}}, TextAlignment->Center], Cell["3. Circular Pursuit Curves", "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.4364493699300003`*^9, 3.43644937346*^9}, { 3.436449457052*^9, 3.436449463067*^9}, 3.436452087344*^9, { 3.436452197724*^9, 3.436452408336*^9}, {3.4364524604960003`*^9, 3.436452465738*^9}, {3.4364529304700003`*^9, 3.436453307226*^9}, { 3.4364533402679996`*^9, 3.4364534453389997`*^9}, {3.436453478395*^9, 3.436453830701*^9}, {3.436453883473*^9, 3.436453902645*^9}, 3.4375840300625*^9, {3.437597860705*^9, 3.4375978850290003`*^9}, { 3.437598163817*^9, 3.437598171861*^9}, {3.4375982498129997`*^9, 3.437598390486*^9}, {3.43759856452*^9, 3.437598690264*^9}, { 3.437653629446*^9, 3.4376536556879997`*^9}, {3.43766215951*^9, 3.4376623440699997`*^9}, 3.4376788097609997`*^9, {3.437687430847875*^9, 3.437687547080018*^9}, {3.4376941229613714`*^9, 3.4376941288050838`*^9}, { 3.4773233979304113`*^9, 3.47732344438279*^9}, {3.478442691394888*^9, 3.478442693205695*^9}, {3.478444198388791*^9, 3.4784441994217463`*^9}, { 3.478445514168942*^9, 3.4784455496374893`*^9}, {3.478446104446802*^9, 3.4784461079439497`*^9}, {3.4784473747808113`*^9, 3.4784473789314737`*^9}, 3.4810619018842487`*^9}], Cell[TextData[{ "\tCircular pursuit problems are the second category of pursuit curves. \ Using the same method as above, we can find the capture point, ", StyleBox["p", FontWeight->"Bold", FontSlant->"Italic"], ", except here, our pursued moves in a circular path as apposed to a \ straight line. In figure 4, we see a series of plots, as the pursuer follows \ the pursued. The pursuer, following the colored path, is always aimed \ towards the pursued. The pursued starts at the far right of each plot and \ travels in a circle counter-clockwise. The corresponding k values are \ given." }], "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.4364493699300003`*^9, 3.43644937346*^9}, { 3.436449457052*^9, 3.436449463067*^9}, 3.436452087344*^9, { 3.436452197724*^9, 3.436452408336*^9}, {3.4364524604960003`*^9, 3.436452465738*^9}, {3.4364529304700003`*^9, 3.436453307226*^9}, { 3.4364533402679996`*^9, 3.4364534453389997`*^9}, {3.436453478395*^9, 3.436453830701*^9}, {3.436453883473*^9, 3.436453902645*^9}, 3.4375840300625*^9, {3.437597860705*^9, 3.4375978850290003`*^9}, { 3.437598163817*^9, 3.437598171861*^9}, {3.4375982498129997`*^9, 3.437598390486*^9}, {3.43759856452*^9, 3.437598690264*^9}, { 3.437653629446*^9, 3.4376536556879997`*^9}, {3.43766215951*^9, 3.4376623440699997`*^9}, 3.4376788097609997`*^9, {3.437687430847875*^9, 3.437687547080018*^9}, {3.4376941229613714`*^9, 3.4376941288050838`*^9}, { 3.4773233979304113`*^9, 3.47732344438279*^9}, {3.478442691394888*^9, 3.478442693205695*^9}, {3.478444198388791*^9, 3.4784441994217463`*^9}, 3.478445514168942*^9, {3.478445557593611*^9, 3.478445559315319*^9}, { 3.478446151284769*^9, 3.4784461546096067`*^9}, {3.478446218081993*^9, 3.478446231176668*^9}, 3.4784474009874477`*^9, {3.479224863250773*^9, 3.479224863463747*^9}, {3.479224898727941*^9, 3.479224932366287*^9}, { 3.4792249647935677`*^9, 3.4792250067599277`*^9}, {3.479328419903837*^9, 3.4793284253471127`*^9}, {3.4794786813255873`*^9, 3.479478684032906*^9}, { 3.4800318926637506`*^9, 3.480031991082494*^9}, {3.480032189751843*^9, 3.48003221749289*^9}}], Cell["\<\ \tIn the plots below, we notice that the pursuer is always starting inside \ the circular path of the pursued. We can now examine what will happen with \ our pursuer's path if they are traveling faster, slower or the same speed as \ the object they are chasing. In figure 4 there are two plots with k < 1. As \ one can see, the pursuer will never catch its target and will just follow a \ circular path with a smaller radius than the pursued. For k > 1, the pursuer \ will spiral out, always heading directly for its target until they have \ captured the pursued.\ \>", "Text", CellChangeTimes->{{3.481062365377626*^9, 3.481062397982211*^9}}], Cell[BoxData[ RowBox[{ GraphicsBox[{{{}, {}, {GrayLevel[0], Thickness[0.002], LineBox[CompressedData[" 1:eJw0mHc8l//3/zUIJU0qicqIUhkVkROKNBWVZCR7lXpLiTKKUmQrISRSIntz 7Oy99+a1rgsZKeP7+tx+t9/rn+t1bud6nufzXNfz3M/zce29e/+ayWoWFhY/ dhaW/13/328S/v+/EVu+MLUVEiq8bysWHvGEFeuNG68tkSB5cBf/kSMhcLlL xUrgLwmF9cT2rKHPMPXapvXnLNPONz2zVeIbGDW6PV0zScL9i3GFlvY/gTO7 IHAXhYRzTXT+0/0poBQebjk7QMKB8OXsN6szYNy463JgOwlJ1hJ8c0LZ4C1r FTlfQ8IQ58xRI9U8sC96ViVQRELd2o6ZFFMEJ/LhGa40Eub86o4NKxfBBtUu v8IYErjlFTSxsRjuJ1krnwwmQc56790+g1J43cs2/dSdhOtO1xeOMspgG/Xa X807JMhuSzkjzVoJNyJP/GJcIMHuy6JGqU8V+B93dLx6nITAcY73F3bWQNhs IdvTdSTYnKkjVg7Ug6jRfPJpggDj/r7rr242gNf0EL2lmQCfD2zPaDsb4QP/ goJlKAEbY8O2/QhrgiCWY+42zwjoYQn2XtBthuRIqRJlfab9jTLgvrsFTH7a rzPfTcAlOYcnp0JaIVbo0tviNww4+DyiV+d1B9TPenI8NWKAq9wOi0alTsja rP14ozwDyjxjbC7+7YS1K232LWN0aFupNJA274ag2NOVayTp0LrtdejK8T4Q OBUs28hCh0/GmndaxvvAodLU0LOeBgOHPyc+et8Pux5sCSiyoMHaq+zGrg4D MHJp8KenHxVSxBVHz9YOwtPDqR0j2lQgV42nvBQcAo8fuVLyAlQwLvS/wP3f EIjVX3UYiqNA3cs+wX/bh+G5Vfh/ukkTMK5yo6z12gjIytBWNd2fgMCbf4X4 IkdguWpbwfXDE+B1wjQogD4Cgm21v/3ixmH7cEXv5hejkHZ0DEX8x0D/9ekL v2PGYDH5vZ3ymTFI5x3fZDI9Bh+KhdRvz45CcHf1v6pT4zDxzLjIX2sUPltb h5o0jsOBfE1Hl3UjYGS+dMyBNgE7jaTN6cnDoJjOwXrkCAVmFTc8+e/2MPjv 8psveECB2n1ldUPxQ1BOr1U0/E2B9xO+hzKVB4Fsv7tTf4IKi9qWudZjA/BB v9QyYB8NSjNC2PU9B6BwSf24120aZNfyZ3N87AfL/Zwz+ZU0kLprOune3QfX UvvHppZpcMZ1w3woXx/42Klf75eiw6Vt1x2z3vdA4Tvaud5gOtw5+ulLQ3M3 JGrlnaWU0+He1tLfMRu7QaTQIyFmlg68O/OW41064f2HBC3RKwxwU7vwXehm GwQka7vxTDPgAYXVSehNK7zI+8Cw4SXAhutWqXheC7io8HiYyhPgZLFyzpa/ GfosxWtknAkwixUzL77YBA2t0ebrIgiQUykoPu3YCNotKpse5RNgcPZiVkN8 Pex+uGXz7jkCNF1KAtXX1kG2zIHua5tIoH+eija7XQOW5hr+AmIkpHgKKiom V0FZwM4drqdJ+CNgUDXArKt190P17W+QwCsfkX/31i8I5H5hvmxJgnNrU0h7 fBmcvLZHfcdzEjpT2RnXlkog/IWpUIkPCUHPX2tMXCoGfVXOI8sRzLrVIczi wwshKMM+sSKRBK6tXoUGnfnAW9X/Z28eCSdULvRtsc+Bswy1RxwVJBTl+US/ 35wJK90eoc+bSPgkf/HD9h+pYJNxZcalm4QafiGNtLNJoHv1+M5NwyQMP1Zo PJ7/DaaLUtMOMjk1EJ24cZTxGVyFxN2aGSSgZMMdd/kPcP3T+KV1UyQIvgjW dZJxB82PB2bLp0l4Vnvd1kTeHG+f3mm65TeTa9XvjXvifFFLtC2Cwrz/Loen 2EP1TzikZJ1ykSTBWI3tk9pMDOaydhTI05jjH5bZVxX/QKxdM58xSsLukRPi C7+Ssda+LLygj4S08kXL3TNp+FhdVIfRRsLNLxviTASyUOa/qryOWhIc7xin pKnnYi/3v/2uJSRsq95nQnlYgDsVWv+OZZJg+Mqs+UFtIdoXns7mjCfBS+tK etGdYgw5SR+mhzHjNyuX73QvQxU+5wbCiYT1swTXap5fuKD0Xze3FQlvAiXV l2IqcCU2dWTqJglH9w4fYRRX447z/tyLEiTISC5D8ZVazE562C/MS0Ik/dxG q+46vGK1hXPbCgGXpVTfO803IF8O2w2lagLuy8Z8NshtxJJj6On2kwBvmvM1 7+dNeDqSouDlT0Cyy3zyt9UtSF33pm5JiwCecNrS65IWzHCU2mcuQ4DYlljR wBet+PLHh/6ILcz4wBfHvaodEyR52J9VM0Agc6TPtqAdCxPD1IVjGXDszcG0 /qcdeOL056hIZwaI3np9t2KyE72I+DKeIwzoKhISna/vwaxnV8oPu9DB7Van +dzLXlytaqgRfpUOOXO8CRWyfahtOOBG30sHJ96TvyrD+jHyh5W7DNJg5svr 4TzxQcyPKfn9mU4FM2LdARGXQZwaWDC6nE6FuD+CAr0tg/jmVscY1YkKT6gb UMRpCNMaBcVYOKiwwHj4vqZoGGt+Eht7t1Fg/a+wzWqbR9BV+tOJa60ToCbp dGzWYATzxVLfVgdOwFKz0PqBvyN4mu3fmtZNE2B10yHro8gYdu0PcvBeGoMd 94K36N0fQ/PbZv9sMsags0Jpu3zmGN4KOgfm98bAUMI8V/HMOHYIXHiT3j0K c1HtwryaE/hg0+s3rD9GQCqN13V/wAT+JchRH4MR+Mb95S00TTCfr2Wb5pYR AEV7/vBLFJQ6sOFC4KNh4G9dVkuQpeJpcyX6BekhUFw7PTVrS8Xyt9X75wcG Qdq5fY9CHBX/qR3XmvEeBP0hy+isrTRc239Aa2p0ALaeGp+T66NhlWuQeuTu fiD/sm09vpGOriFdvlU2fXDryvKiwCk6rrhX99fk90KQZtf+jPd0THb54myn 0wOsO7pI/RI66qw+ZSj6tRtkt3DEEQw67knUs6qd7gK15ALbPGDgE/1sr42v OmF1vrTpvCkD17274pFZ3wGv/jVt3urNwP3+Ydb3eTug58KX2rFWBrZZBoof +NIGYXOHt3TdIrCOu8jpZWozdGjs/TrzmMCrPzu+W802wTPHyvejgQTGGTT+ /ni8CVo16TKq1Uz/7P4lIqMBprXUm1JHCFT7El58hl4P2cUyCb8XCZTV6b5s b1EHzxP6HcfESOzaMFNud6caXq0OzXuvSKLDTg5tg65KEByjt/BeI/FUmvbc Fc0K8J/SZzc1JnFsj7z39epyuKQiEuv6iEQJifFNzsplsE9cnMPSncR1cgPP urNK4II+54c9gST6lht1OBwuhqVfQmWfoki06207aBFdCMrNHzdSE0jUlDfd 9uBIAfzVuLG8kkViqNg4D8GTC40jXOIDxSRC6uqPZkuZQFk5J/2mmsQfYzD0 bygNTpgb/VpqIvGdcKpC5a9kuHrRN+JkJ4n0Nz/+dd9MgOjhHpfTfSReay5k 2SzwFcY/SilwD5FYrCJ/7t5oJDTVaCfGjpAoZLZT2vBGEIyyzSHbGImGguls msWucLXL1+QI06a+uvbb47M1Tsr6RgiOkjgYsVkjkMMXz+nLP+1ixjuvrikl +jwMP53J5tLrJzFvQ+rcrydfUCCW+3lcF4mtho1Pvyd/x31v9v7La2Gu7yOH DNolYZR+QuHHWma+gr3ua3xT8SpVM+d5KYkCW5YoDYwMHLxW3TKbzZzvlOt6 v/M5SG8KeMuSSOJvUvEif2w+ylV5WEZEkhhQwP1O1KUQM3UauJr9SJQOslly PlSMq85P7A1zJVEyoTNvbUcJnsj+ETGlSyJj3NBZ9dAvdPn+JNX5HIkHTtxQ 622pwCR3Ra9YKRINxAupmk5VuEvSxb94NYkjNhrtgb9qcWJhhZo9QeB1vbJL clb1yPHcXP9yLYFRBStLWR4N6PzMNlTTn8AvoZkvv4s0YU2AKfevhwT+Cy/f YDPbhPllzdM9VwnUarC/q1XSjNr7oznm1hPYOh/mZ63bilKXi4wXxxjotitj y1vRNizn//48vpCBM4aeyd+m2tA3SXSC05aBBkalW0vcOpD/S3BXwVkGLu0V 7Y5X78S3n3Ua9+1i4Ogz9kpb7i68TR/MXI10lOAUS7R6341GrHp79BZoGLdd ovTohz788CDjeXUpDaVajb1Yr/fjdPcj+X/vaBh4POKdLPsAvr5S7BknQMNo n4hXj4oGcJJ+rMpVioo3BbcHFYkP4e5HbxeUZih43m1Ef+uLIcylBtzrSKMg Q1ZozKdrCLu0hyMDpCg4Gf309YLHMJ49sv5ssOAEClP3VO1vHcGNB4Xv3u4c R4Wt62gGIqPoGHJ+DbffOMZJ73kdZz+KNpmW/ZeXxjDM361fY9sYXonSXXxX OYq0zfM8YSrjuNH76oDw01H8rvJ2sNNrHF2dF4LKxUYxfZ92NHsr08+1c1ba YwSzbjgePHR3AlddcdUQkRnGW7F3BqTvU9DhdYKsyvAQFl9M5dWPp+CbqLG4 aL8hzHy5ivfVGAVFzZQn5emDOPbxtWLNLSq67T51RThkAC+yVAqPStMwQ3/7 k2zlAeRiBF34ZUbDe3kn5m609+NMD0wEf6Qhh4GKtc3jPtTbZhw7t0jDIx3u GPStGzPD3zu8SKOjxj/BnXq/u/CulvyVsH46VlwQ/c2r0IW0utCFAA4Glofc HHhZ1YEfHL9f2anDQKEjweZnN3Wg+IJxZ7QLA2/e6tDhud6OZmu3zbDFMnCI g6uBracV/U7x815lMNC2PGzLsT2tqHJ/5tYxbgKXWttO+Rm0oE1162f6EQID em+JTfU3YZxNo0K9DYERcu+oawSacF+iv8ifNwT+epIQdFevEc/MlKiRsQQK NU7NqCTVo/+nlRGVbgIVzsx37herw7dqt25F/CaQp+ufXUdkDXrGtc6WcpKo eomd/wFvNTp9b25JFSTxxBNhmSWvSpyv79htdYxEP+1iEa9VFWgSFcJCZdYh 24+dVhKPylEzYhUeuU3ix3sK5MitEpzXSFvL5URivC2r2q7qIrRLFlOLfsOs 85aLApHyhXhkX1zX0nsSx78aHNpwMx+f2ATK7/5CoitlOCLzWA4aTP+cXmJy Q3GmkG64NRMz5PiDPjM5+1vdylZ8MhUluY1LOYpI5Ho573u0JgnN9zw6LF1B osrxwseiV+KxZGuC9546JsdqgirH1sYgq1J7XDWTu3vd5Dbn/ReOVmVHNE+2 Mbn+u0vnQ48vGsuZWFt2kCjnlfDDdesDDO8NGbjN5PIGjceO3TEu4HvJOG4j 07a++lNAixoIRun1FW7tJB7dmGRgWRgJEm9va2YxOblyLLr1D+dX+Fz91+Rn A4ndF9VcgrUSQCBny0FzZh84wLdKwa0uGUDIoXOIyU2+Bzi5ajoN/hx4mCaQ T2LGls1/vm/LAtUXCesF0kgMewYzesdzIVtbRX7wG4m6nCZ+/24UQO7bpHjT TySuPqCpIpVbCCz+TY0/mRzd4ZVerXC+GNjrhw7nvyBRnDIy1btQAmZ5Iyny /5F4Nf2LoV9cGcyaVhWdM2Su/4n5TZUbv2CyhlNy9BKJ54594BtYXQn9h9aN b5Zjcp3jyRqtxCrw0WLprt9H4q3D3A/fatdAjdj67YLrSZz0TM+ei6sH6+wX 9Y7tBFqb9DS5fm0AvpzaVM9cAhevbREscWiEv9FlMYc/EWg+czKtnq8ZXuxk l1QxIHDuXmDtK1ozWBz9kpJ+inkuWG4w0sppAa2he1vKdhEoXqQpyHq9DZ7t HZksbGBgz00W2zbBdnikdaQr6RsDI1ed9A2mtcNq7mL7M64MPMNVtrvgWSdc 2HHpiv4hBuK6K7xbz3YBp/7PRxMrdGxv/bkiub4bVvUt79/TRMev7zM1vgX0 gLrP55DAh3R89Woqm7zeCwnPVCs6T9Nx2evflh6ePigUV7nUzEXHtfKSyi8C +0H2OL2BHk3D8oXglfUwCC6ZTWdWCqmolL12+uLHQXjXmX/6kDsVs45WWxTM DILKaufV+85R0ZryWW/f1yFo59Pf/18Vk7MK2klOq0bA+EHN0lLhBM5bVI7W Xx8BikrJWLHjBMaJ1ftKfxsB9ZbzQebHJlCEpZCD/9IoJD/oVjaKGceY+H/X NnmOwcdP44n/PRnDnB1Nac9bx+CBzerjYeJjSF1/8tSA4Dj0R7LWFHaPYlTw o+V7aeOQUHw+ZYP8KIasD0zWq5sAh3HLOl5iGDnA2HDdFgrIllf0vf4wjGVO d1Y8tSggzFd0epvyMH6IejjK1UYBh69TFE//IbzEc+h5QRUVZuS/h90VG8QI 4txQwxoa1E6eNa6oG8DNqSkTSfI0yKo5ZGn73wD+tprd2PCVBvwPdjQeftSP 2ucMLTl7aNCsf2XfqZw+PJn0qJ+dmw4dbsTPyaVe1N8+KaL+gA7vC2Jo5q49 uP1Q6xePSKbut1K3UyzqRs9uvwDnOjr4GyYwula6sNqVLStUhAHDpQdWv3Xo ROmzJX/VfjHgMntDZo5BGzo5SzkcpDOAYbjeIie4Fe34dtXlchNQMyE2VV7T gtuidSt6rhEw2G+tJX68GZP01j61fEiANQ/f0QCLJqy81r8rwpeAiqXfQ4fC GvG8oxF1voKAvP3a1oeX63HC9G3EzmECjvXXw4x+Hb6oX9Ho/UdAkNqDUeOC GhyYiJpQ2kpC4P3YWv/d1Tju2GugKsbUlTSWx74OlVhlkYaUUyRwnza3sW39 hd7PKwUPXiXBIktN/ezRcjT2t4znMCLBNS03ce+bUvyxEPL+5X8kpNsWXNwx XIw1yrwSoW4kbLiu1SMvX4RjSmYlF31J6Iu7D4rCiGkW3UUfmDqWtYqj5FtT Lno++BDx/CsJSzIV4/3Ps3BKLWx4KYmEhQ5LAzbxdKy9WiLEk03Cc5NH48ot yZgwW8PxC0k447zOx/7fDxT5z0B9UxkJQdwKEeKXYnEz2/rvUxUkjHFL6nTL R6Dj9YurraqZ+SzFDvD0+OHpw+9knWqY6z34Qv4Z8QDFPMVVhJn2mUiLxPFK VwjpsTxgWkXC6ieOXMyTByRnv1pW/EXCYOxBq3VNUbCc9pX2s5iEAN3kgVSX OKj62CucnUfCYtUmOTj8E/4Qwr910klg7/1BOcxIgeoso29BP0h4IhLFfVc5 A5w+6iZafCZBzRA0AoKzYe2xtMftwSRsE92wEEbJg70dY2/6PUmgZdqm/OAv hMXnKs/cHElIvVfzvLGsCDx3jv4uZOr8vQlde8RtSmD//vjoUB0Ssv+xdkZv LYN3HpJXt54jwWcxfelgdjkU1f9qOCBDArm8b+KnXgVw/jBj691Dwg8esZXd q6ogIev76FF25vtP3JVxJ7oa0iPxgfAkAULe/t7mZ2pB841+fm4bAbWKZ7ft G6kDDSGXg00RBFD2V+okcTfC7476vzovCYjh2DkVUN8IfQbXT2SaEVA/wl5V /q4JPNfx2xHiBOyWVu1b5GyB30OH66s5CRgSmnwy9asFiPjli64UBqzb9WL7 jpetcKh3ZdghmgHl8sPmfQttMG+7IRWfM2BvcWfB/dR2KL73cNOwNgOuvw+5 zmPdAV2tqnoVHAzY0FM06tHVCfzi/P9k9elwW3mASzK+B4z2Xv8efJQO+m8D vn3V7QVeeNbct4oOj/LXVP7b0AfnNAfbjkXR4FfRKue9lv2Qj6/KpZupIKCp MNbMOQifPnrt2RVOBWGvvRFf9QdBTCvE468JFYYXrnyuT2ZyNfjutpQZCvzO DizlvjEEhoccj55ko0D23OaYP0HDEHbJuPpwxQR85VxM5BkZBiFjG98jnhOg XxshbSs5Am4VCbcN2CdgyTykobJyBNgE8i4W/BsDdX7jdeWToxAZc+CiTsYY HM1tvnNPdgz6IvnHeWzHQIe0PS/vPAYDP9/VLw6MggFVe/YE5zhwFwzoV2aN wMYZt6iH2ydg99Z105nWI2Cw8b7c7PUJEK5YyugVGIELZRqBr4ImIJU9OKvr xTBkcN/paNxMAZP0RWtSeQj608p8c5YpUBKoK06fHIT3lGPzT05QYWP4cpjs p0GYOdgYLXOfCtf/nraonRuAi457LoR2U8FpW8Zft9P9kPOlzJLO5Gz0xHlz yxd98IMRVWTM5Oz6gf1eU6W9MFzNORzC5Kz1YSevVWd6YANrwE3Jh0zu2it1 hboy++OWdFmfKDqo2m4o/JPfBfJmYSxR9XTIu2LRxi/dCXmpwawdogwYOZpC nbfqgF2T7OoLVxnwXT5CLyu6HSo7D7mUP2XAj46T6Zs2tcGxwH3OehUMeHd1 13DOmVZgLfau2M9gwOvkg6tsn7TA+nBWDp9NBJx99WK3YG8TdP9N3nNZkwBv f5lciY1NcEZc8fcnJod/ft3mZaXYCOm/4/LfMTm8bDM8eFKuHpblTg6dZXJY 1UJk6FxQLRyujcjlHCIgPP/z7OrJavhCPve0+EvAbEpS2q+oCvhPSCR1UoQE foXAlD9/yiFFeJCbV54EhR8fTPddKYMOpy1GzZdIMIjm26n9pQQSf+5qEzJg csPCmD/hTxFMZFR85rxPwhVKSYPMxUIgO+9uffmMBI3H5tKsivlQXp3o5vuG yZG3ZK3mUDZksC/cPsLkzL+/9/Wc3DPgvh0f351IEuS+q3XHiKbCOdkXF/d9 I6Hu5YkPhN9PMBo85v2IyeFt5AGnI81x8Kyg9c2tDBIkao6+0936GY49i1lT l0NCjsmeDa9jguEz29vypnwSZN1SfBpU3YA7dHOqGZPTRys9QkScHmD/Iats L6a9UWpQUnLQDx/+te1SKmByet646cHdCGQ3ixZ9lUvCp6oQd94HsZi1RaxE N5OZbx+v3NiRBLwnWdtfnExChliuTfxcMu7Zu1SY/Z3JLQ3b795a6SgGZTlK TK6u2Gc0PEzOwlNLNZK3PzC5vHCVKs2VhzXHroWyeZPAR32x8bsZonrh/mdn XEjwtBiTvHmnCN3Ohtpsf0hCkXn7Jq4NJailFbz16V3m87E9oT6cUYqLGfdE /mP2wbdfLN+U3ylHZ45pm1VAwl2/uXfRHBX4gClMhA+S0G5qyG+WXIl+N+U3 DG4noeaKqPT1pRq8/M/JTnCcgO8yRm9vRdVhrMq79NhaAvTmnNgX9zag7lcz yYoUJkfPly/cLm7EnZ7FDYNPCPiWsqrpll8TvvHe+qHnFgF/vGC7s0EzOlB/ DD6WI+CrcGPIroUWPKWcPB00w4AeeS3z1ZmtmL+NY3NAEwM8vu5M4bJrw6kJ P1mjnwxYKtOfsqW14xalg2fcTBjQqpG/KyemA31OSvC0KDKgRjpZlMOgEx8Z C9cu8zDA3W43htZ1ITX6pOpoCR12rCqsaXjZjdxjWppfPtCZ58DhUkKuBy3O K3YrW9Mh9mj0dEVkL6ZKst0X3kSHkVCxyB1HB7C6ZS467TwNtGsMxew8BlCH j5CJ5qGBZcWf0wd6BvCAo5OnyyAVKkSPRHq5D2JLjNcUtx0VZKeEVCj1Q6jD e0gBvShAfyR3/IfgMLbdfbPbUIMCyQWhTxJsh/HowYLsNVspcEZ/t7b+xhG8 b7WdqsXk22hG3PH9p0fxKDXPw+bdOOw6Mrff7c0o1g0NWd4+Pw7ifffXr2sZ xQKuna/1WceZXL906rHxGN57VmDw88kYmMd3n//8dBwF9eL5qrRG4cC1HfTB /HHsGffck8QxCl1S729Jskzg9OSgcHH+CIyKmUnNuk7gkZsz5+33j4CdU5hY lQMFt/4+/ttudAj4ha3llNIpyCp3aHhT4BCYbvusmkZSUNg9MGtKaQjW7BOU dDek4tjJE9t9QgfhtFihfaAsDY9fbpYIUh0A77YynQQrGm7NJ25Z9PfD7oMK y0nhNFwsfeRvdrQfBEqOJ9su0/DxDjfj/Lpe0PE/8yg8hY750k3cAUtd8N4m upu1h45y21+pHjrfBXNDxqPX1zKw4Srd7ldQJ+jIFrXHXmWg//eJ/QLiHVDM 7tr6xZ6BnWECDygP2+GCG0fUy48MNHhTeLkxpw2sfzQpj/Qx0DDmQtr2c63Q ULbd3XCFgZs4D1xy8W4BVwWwyd1D4MSJqvdCTc0g+Z+3C4sOgdISt7OO32qC DjFBW8ojAilTa7tTQhuhI+XNu+++BOqEGJxz722A1Bna7eRiApfiQioDCurA OXyb2GwngcHrrUSDFGvBfsdbQ65JAnu5e3c8y6+G/D94dGEtiS/vXZPTka+C 232vazN3kBi3RuawfFYFWK098PTcQRIHg+/GHpb5BafvaL78rkCipXrcLZWf ZaA05Lt34DaJjQFtDuuji6H0w1vPFAsSHz7vetbDVwS+7cQfTXumLv+1s2Xr AYS8uo3zJa4kblcqljnLmwdOiy08q73+993hx4AlazYcPlU6xxVE4q7cmi+f p9OBsFw8PR5G4r9g+g3O/hQw9joV7x1NYn/z5m/OQT/hqz91juXb/7633llT bPUNTsWunzqdwNTxPIU+vErRsGGNxsNLSSRe7/fWfHLwI4gZcRuIpJC4puNZ beLXt/Dqz/mv1UzbztNNQznvJpjNJqieYtqTATvPBGS54+do7zOOzPFcJnSB Lun3mMhJSXVnxt/IUVx2siwKHYTMU3WZ8xPaY1uayK+4O0rHhuULiWfNxAUe 70xEE7kM3gfhJDa9neaaF0zBO77bZhKZ+SV8F4x+JpOOY9FJV3KY+QezFtlJ qmWheo3RiwA3Ei2KPyfNaOfitQuff598TOIDvhHvbxYF6Gz5eFOyJYlBqRyi IXmFOHfA9fqcLomqXaIRWSrFyOFAU19/mcS1z2R0hapK8BuXlcvkKRJjh1b8 aq+U4Vzmifexh5j5SjY5xrSU49rrbLKHd5E4kPNXN1y7Ai9dXL3jNRuJf2f1 XWO7K7H6U/l82hSBraIciil61Xglfvv0m1IC3VaZsr5n6qXAfiw/9oNAe94R +rXeeixzvMOd6U+gWtuPAKuEBvzUzc44rUtgyKlp05UDTag1cCf4AhBo3bI6 t3i0Ca2d5HuO7iWw7rPIo9qoZsxq/D7gM8jAwYpz0WG8rZhC3WEsnM9AdidX vy2DrSjw8Lyu2XsG2ns93Of9rQ3jXp5xmVdjYKjzPTvrEx2Y5HFeQX0PA0Nm OB7jYgfeWDDxvvybjpec1SN/F3ai7J3FFMcQOq4m/O16znZji8C5d18t6fh3 5+YKZ7YeNErevcHnJB0jhwYDBst6cJKtMCykjYZy12RcC073oe+fh0TPChXV nZ8rLvgP4AWnF1rCv6g4s8Z3qY4xgN8qv4kqeFPxTOeZpCG1QVyurnXt307F ag46JXVhEHUVhGjndlLw7MZpBx/NYdwQcRU02icw3/mU6djXYXxiziulEDiB JcdlxHT/DeOa1Yar6jiZvNTn0wuKGME+S2/do7QxbPh5nNLRM4pel1MMUyPH UI+jMblQbAxdHY30Za6P4Va+m1nfH41htJFS9ancUeTewb72Cec4rt1jgPWO I9jpalUaKjqBKhZFjtFiIyhUelNXznoCf/IHmvm1DeN9NsH7+JNpp71IqZIY xlKpR+sdpCk4zBPmxt80iOVX92+/KkHF3bIZfYccBnGgRHH/oDkV9ZpMjz4S GMS7RlLsKtFUnODf+qvQYgDLtOVYHm6jofxgq3gN1wDq/VXiPHmBhqcyC92U 7vbj82zVzkoXGg5ThBWtab2YnjRy8cQEDc818HotS/Tis3wu7U276PhjYHfB mfs9eJjhMfv1PB3/NCdPbyS60O1yw1XOODruj1b84dXbjqlLml/vajKY7/92 BJtQOxpQhZ7cfsLAf4t23qEWbSis1Dp4OIyB6z+Rd6WnW/DlZelVdwYYaKQV NXzmWAumd6huy2UhkD1Az+/d42YsdRdwpAkQeF7dcWl8oRH1319//ovJ5StD FH+2k42YPrnSYmtP4KZ3lNWODg24vlpghsrk8rzhSCsboxbvKRe4XmJyufPh tt6L5jWYIdHBLsPkso3t4/KnQ1V4nSXZc5xgcv5Y90RV8y+85zpyKIWHxJxl VZ/1F8ox0Oz6r18HSEwb85qyLSpFgazCC1/lSGyei9TlPFGCHy+rbtNQJ7FA /YLweHwRLintelV0k+l38PnKI1iIE1VveP4Zk6gfLOqlIZqPD5JZlRZtSfwl tKn5BlcOXlPm9yt1JNGocAeLwXQGXq72Ctd0J/HVzOGFV22p+OyTAsc3bxIP nc35MZmdhG/Czr4oDSQxva1B0FYuHj+fnSmP+Uji0Yhp+Lv0Baka1aEXI0gU 5zlo6/giHH2r3FuzPpN4xth3/xSHHypk7dCiMjlp28bbogoPsVUlbc1gDIlP qRzEx2/OEG1d2hPGtHfspnApGAdCjuLUMD/zflWTW1tD7kVCvO8eceMoEnVa GQ6m32PhtZpVzX0mZ98ntcieG/0B0nuPzpz+QKLZgf6DLj7JsI91ua3dj5mf 24FHcfFp4NodmiHzhkQr13Mcy+WZwKCuGbzJ7Eud/dGr7g7mQHXenSQlJnd/ Xj3mmv43Hx685ng7bcXsg4oDXdaehbBX+PmwpQGTw8pu9PZtxSD94q5s/FUS 2dbPf/CKKAGTHw7b0pRJ/OI08sZRrAziLkRu9JBi9k33LLuglHKIziuv3LuX xCHus0JcxZXAwbnpQvZfAksjdjpePFcNphtOBmSMErjwQp7hUFsDf9YaRbrU E8hF/5x5t6UeWs1O+T2PYO6fAvt/K98b4Nqy5Y00d4LJNz1fUatGiGd7Fp1j ybQN2suNKE2wdr3UrlOSBHKby/tafG0GqecfXuRuITAmY3vEd+MW+FatObPx NwNZZc2PFPW0Au0/bZpcEgP7Q/K07Yo7wDxRMLlsNwM9fy3w9rzuhIILexYS p+j4ZMOtVTsud8FqiQoF1TI6av82Nppo6YaNQYJ0D3M6sv++zm4V3AOVKq8+ yMjS0WG66OinG70Q/LGj6AMbHbkP0Dh/N/XBa/XUFO8IGtI8Jo3W+PSDRYSE 9H5LGooPjP5qEBqAM5KnPj+RpiEZKZ0q1TsAq1luGNgUU/H2Pod3vmeGYOuj OywVjRR0/yzYrBM2BHsXDeRi/SkImdW/z/8eggAfqYVb1yjI6xbzx+vTMMho KQ1eqpvAxaN8kQepI2CZeZMjP2scm5o7uLNOjsJyzGxdmO04LvnW11x4Mwqx A7k7rUTH8cw65aynImPwRbciacBvDPnSW78FXBuHEse0eF+dUez00Pec/zgO xxKX2c9yjmKUyZoV1aFx0FmTxbY2ewRN01dyQm0m4M9BqEnaOoJaJ4oTS+0p wPqvRf5owRAOH/4oKJFBgZKn6hxfTIdQZKU3xHyGAvM3JfSUNg4hoxZuX7Kh QlXmkRr224NoZ/zwuJsGDezJQ65Obf2orCASddyDBpTFN9ShXf0o+tF9Ji6H BlOEB1e/Xh/KzVE78gXo8JYLBXL7e5BqON1wW4MOS6IuHj/29OD5zF7nRGc6 iETtDrqh243LjSftLbrocM/2Ofxp7sRvd6rDa1kZYCTZWblqYydqWiUo9B1h wEMd845x1Q6UK0o8v+TMgM6+sd826W24k4WThz2WAeO779wSpLXi8Kz25qwq Bnygnf/dLNCKb05uWGbZRMCSbuG8kUcz6tXyWq06SsC02qe0nXlNGJ2g7Ztw mYC4nLNlS5ONWCXxPX3NawLild4m2Wk34NkuR5n4zwQE/Fzmluapx/hJQYuF XALE/lPQ3vu0Fmufq3xwpxJgUnZfS0axCtMH+d4WrTB1ZLSe47NPFRglESgU uZWETtqcQNpSOc48P/FKUISEwxdOhFJvl2HL538jSidIOC9x+qp0dgme5zrv vEaNhJJnnkmR24vx3l72r8bXSfj2e7Pk2QeFuFz1Kc+YqYOvj/N/Nf2QjxIW q46uuUcCx35ZpX8Xc/AmZ5oLPCHh438tV2xYMlHpT8Opna4kDO3qXR5MScXW QC4239dMHU7udX9unISTHgWvot8xdb+o5dkG8e8of6LbRTOABLrrO8XXb6Ox LowFI4JJsNjFva+/LQRDbv0n8Jqp40cP3X2hctATTUX2+mwIIYEhNSh83u0s 2LyL4pRg+u+z7na+0v0Wnv499okSRIJZXJmM5+FQCF5faaLsz9T1Xj4pm058 AY2zDK8T3iT4KUu9YbR+h6h13ZcrPUi45b1brSI7Cd532MzNPyfBJWYqrH1d GtQsCfaVPCLhl/xa7xWtTFg0WW8rYUXCu4gjE7uiciBlqEv4mAEJGraGb9fS 88E2pe5191USfCfDk6o/FsKr28mSe1VIePqzW7JdsRiwvbGCTZr5fsoGL28Z KgGLzYus3ntJOJ79X7DlyzIYSLZNSttIQp+dbVSt8C9QDL+USRshYHbEM8zS pAryMw6Si7UEbNor88d5TQ18SRG/kJpOwAQ/y+SNyFrQT39ft9WVAPkvT31Z rBog7t7LC4XGBEjF6/Fpn2iEUNLuPY8aASMj2Vfpq5ug/PQFRtk6ArwXGQux 75uhomRT2d4xBhiYXovIvdMCy3EO6yRKGKDkuFmbcqAVbn2RXa/twADKjvsd 1hltUNzZtMnxGgNYo/WEkx3bQTDpPw4tcQasCl/vR4MOuHnbYfFwGx38cqcu CZZ1wpGB4z9lvtNhrvq1G4dHF7hfcCubd6KDZb5eePnZbngQwy1esIcOLxvK uz8W9cBc8JnTrzRpIEOrHC3+1g/+xlUGentpsJlD1pdbfAAWl38vixFUiGJf U/Lp+QA0ccREJ76kggMnuDYLD4LvPTPOiBgK7Od7bXPKeggCv1w1umtFgci7 xE6+vCG49uDsBomjFNgy8Sft9Pph+CPpdG8wYwL0uSa/3Pw6DI2L3Qbs2eOg nOfjYdg2Ag/tggfVHo+D2Ak/v4OCozDi7j4cJTMOWrJCB0QsRiHv/rvvP3+M gemgeGfUn1EQrV4/7+g/CqYWpgpmXOMQZLGR6FAfBefpMH0LjXGoP7m33IRl FMorZWM9/MehQ0rGZJfVCPSzHA5i3zYBfF679p0+MQx3Q9keja6ngLOP3A/r iSGwr/Fld1KjgLqLh93AhyGYQ2evXW4U0Ocf+fNtfhCutmx0MmVydt/OVf18 CQPw5MKD9KUaKnjkxR3v1Gb2H73Qs+9ZaDD9NJg+t2YAXj06OSUqTYOBA5x/ CpP64PbrTYRIEA3YDzbp+M10w38OJ1jNL9Ihl288okq5G/h43iR7PKbDNp+X 9AWfLthv7i7xLooOddVsXDdEOyH2Cv+Jq9N02CyZmOz7oAOseVYlc+xkgGJL 93JPTjsI/5Fr/qLIgDHVdR/Lz7cBB3AbPvNgALeAyaqHfq0gFGy4KSuOARWs zioX2lsgNciHrK9kgNTNVyPRd5rhtz8P+LMTcOt9fZjklybwq1C8eFKEAK7B v4Mc443w5Maf4hxlAoRbnbdmWjaAjuvs59NPCOA88f1hw/F64LdmsGsFEDDm KdBSG1wLm3LutbElEMDGn8XuMFsN8UZpozfLCDguPtozcq0K3MMnBFV7CHg8 fPOg0M8KiFGUdGuYIoDgONCjzvkLTO/lbp1jJeFa036VwPwS4ExMPM0tToIl vWlt//Zi2BI+e3rVSRIu5R5R1LUphNZ9F+XfniNhvcBaPsXX+VDTHPLmB5O7 O+S/ST2SyYE/99Z+NDYkIdXiqMDL/gyYtZsbSWFy57aqt7qfZyrYrhGeD7Yj YVMYp0iJVBJUzwRab3IiwVByj4lLxjcoVomY2uNGgoBYCUWPLRpKU2aUi5mc M+NIG27//gFYMiMl/nqSwNcl+KTPxwMaY9f7lL9ljvc1zt3TfQc/HVzUEvVi 5jMhuHHj0jvcOP/+2W6m/1L5HbaBgTB0zzXijWVyXb3cQ50qGIMTZspKpS9J eBs0dcqkIR7rYv8Tf+xMgl4/QVGHZGSP8tuCzD4h8x/fq8CgNCxY8049zJYE 3uv3V9GpmSh+PvEItxkJB1w3k2KQi8cuvDq2Q5cEq9qdv0X9C3DH+j/dmVdI 2Ogc098/VYiqjfvTCCUSZnjG3oyGFOOAm5VBvhQJu3JtRzcrleImZVMfoX3M vjZ4dfjqeBm6X+tkFd7E5Ozg7Rf+Xr/QW+VnIC4S4DCxqqHwaCXuuUPwz44T 8MJWaqCyuQovmiQGlDcSwLtbsuPjoxoMcOb6I5NDwL3F+1RBnjoM9hHSU4oi YCs9K9vlWwN2HnxSJGtFAHypvRz6uBGP6WjLiDD7/OUSEKadacKH5/h8Mo4Q kP26KZ61txk1Vpf6lhEMCLsksZL/tQWzon4fUKthQLysRLfHg1YUevX47QPm /p8IXxgXXt2ONE5zhV+6DPB3LthCrWjHmozP87MyDIihTuR8fNeBWVtjb7Ss Z8D5zB9L4TxdOOER4/I1nQ69N2dn+zq68MQ6B8nI13So3VwrSgnpxo/U4Ksa OnT4e/nW2+M7elHkRtDl/gUamF8Uemve2ovNCS9fFf+iwW6tB4ZKfn1oEPht 3CSQBlu9rtHurh7A/lXRdnNiNIi0tErYYTOIp75eV3ihSgX3akXpWRxE6dr7 pckbqfDF7dPsni1D+F1Kd3V3KwWyAhNvXkobwt6Qp6EihhSQvxyumE8Oo/Xr T9rDVhOQlP5XOF5hBGUzKnQPHJqAGCE1ndrXI0j127bZkTYOu3L2ln3eM4rf GQ9Q02wcRt+9kTx9egyF+hlJfFpj8HwB2557jOGOgs+2vFxjYFtu19lVPYb7 q97KHS8bBdkQQ6EBzXG8y6GsMCE1CuYBqzjbtCdwZ/pqqftrR8BBVul9+vsJ 7AzNE2/JGIa9S2I14a0TyC7Ulvif+TCIHf3i8fwyBROVu5PvVQ4Bf9KXHpCh 4sk/G1J/uA3CFWnx1futqKih8b3/1JFBkNwz6bEYScWIfZ3r9ncPgNFKxsU3 HDQ0BdbXc0cHYElC8/FJBRoedmnnb0/vBwV+n5YOGxpepI/2vmDvB0mh9vsd tTTsZ0vNOf29F+S+ujCOLdJwRdnhg/5CD5xTF+d/KkbHkSLW7zpqPbAmJ+vN Txc6Vrn+NucY6AKX825dEXsZWMrVnbaOtQNUg9e2r1FjIIfDJcXeC+3Aavrp o5IVA+dGZDZU+bXBvzdfus4wdVKR2nA6G18rNFeMx6xrZGBkbLiaiX4L/Di1 vu3TJAOfrBb0/BPZDEe6ol6cPURg/Wz4QNf+Jthss5Rw7RyBD3JmabLGjTBx au/7I0YEtnme8KNEN4B3xSc3rSACFQ5uKypSrgMNUxO/jz8ItB2ds7IpqIGG p4OPfxQTuNlyZe6vbDVELX2wOEojMHazf+cf8QoQcDxxiX+FwK/TgleSXcth ve7nsLDNJNqJOBsZtZeCr901l4R9JBJbXubsO8Qsvt2fJa8wderXwc1r1rgU geGxtr8up0kMzdOhH4lFMLgnckL5EokyOeI/qOfzQDG79Jq/NomrrVO79Igs uLo4XGV7l0TjkmG+ZN90mFvIl+i1JHHZKVZwg1QKuNz/sKv9AYnih3efl4hJ AEmrSiV9ps5+9I6ld3IkFiY7cowfOpLoxVkckLI/ErLPMq5vfc4cv3ZW5GWJ P9zvXPhz2plE/vDrak/+2cHJVwHK/5j+jLRS6+63Lihj90pW+RmJd7g+1kNV ENoH5k1tf0pioKHs/bzYKPR+LhVs/4jEgMrKKiezONR7tKJvfJ8Zr9VTf7Po T/SPuxTcb0Ziaf29y0HTKZgdf/P9hD6JHy7vcM/TyEA5IeM6Zy0S235djmxL yEaNxMKsmHMk6p+sXsjlyEf9hdwRHXkSVxqGnPZJFWIBX8RUxCESuVuMNsT0 FaH7nlifR7tJ1DuHk1fflODTonnnHk4SJ0VUHbYfK8OPj8MCW+cJfNJ8kKWn rxxLw+ySDIcJjIy3ofm9qsDqEYlfrrUE0tfnJOw/UoUng7LWuYUTyChg++XF 1DsZ0s+tjV8QaGNCnj+1px73dE0r9ZsRqGFYwKJ4pwF5C5Wtopn77+wt+7cH WZqQ5eyj5+QGAttnVweP1TWhb/6ISyeNgSdF/9oWhzXjkbpBd+8YBv4T2JGf cawVX08IVOm4MOujcqduHksb8ui2utTcYqD7250H8qva0OPOC4cv7AzcdOiT 0NvbHVhpuN9B9wYdDzz38795vxuhIL7ITYSOFeFp4sckezDIge+Z3iwNle3T 15VN9eB/X/ChnA+zntnsj3bc68Md1AIT0KHhsqn6jPrBfvS4tebUGiEacqpP Ms6P9ePnm5kJdalUzL9ZsZ0eP4Cipx/bdztQUUr9b6bYukHcntzvmqRIRet7 I7PhhoNo5NenV1BKwcz5c993bhtCe6fgg9nFEzjy1KGTdm8YLc/nXwx0mUCL GTmZkSImZ6843bt1agI985Ye/WPqdb6yb5kJqeO4QePcwSfpI3j18eSe1oAx FOYaYFdjjKKuZUn8DfUxDNKIWN0sO4YTWkL23UujuNB4jjB8MYbKwZkKi0aj GKf91NZx+zia9Zur/BNixgmteaoiMYGxOvcE5puG8VbD403ethMopbugtMVl GPnsMh8Wpkyg7omMfentQ3hyqZzskKYgbBIb43k2iFeU1zS7HqBiQluHsr3Q ILY9NXtedZeKHqqXrbZWDyDRsHZiLJSKJz6/3sDLM4B72V3GfTlpeKWYP9lC rRcteS+Im3bS0McgWGH8TQ9ucPRaYuek43YJkfS9td243mVbm7UcHR2SGo+T l7rwHlGicj+QyU35OdUAr05ku7O1maOQjjKTrld5qjown11UV49Kx+eTbL+7 ldpR5ZYIKSrPwO13JOePOLWhtL+dWaghc19xGtS7p7diorNdRqEHA916NbV0 hFtQrW2r9q5aBs7Ub66g3m5GAUqrzwWCgX9M58Ii/ZowbkeK+YGNBJZ7LRpH /m1A7ahOm351AuWey1ovSjQgOS77J8OEwF3ea/+oFNXhje75fhkXAv89CzWV Ea5FRrjJ35shBPabGD7oeVWNcl6yhwSSCQyNm/3vMqUSZdI/Wnj+IvB+/sf2 MPUKXB19LCOoh8BgXvPYHevK8Do4dvquJnFhflTQyrgEqY03WJ9vJbH43dOd I4VFuDGhn8qxn0RhPnXJ4N2FWKLb2i0tSeLD1xpCB8g8LOD9KffvFIkiA6Hd A9HZ6Jjw+ZGBOonlHrMLjjcz8ErR9013NEkc/3J+aQ9nKspc8wpdvE3iZanA nr7HP1HYpztDxohEo3X275ovfMN7elsP/zQnsdBgy6GOPdH4Tnrz3LQ1ibeM rrzXHArBM23RYytMzi12U0V5NrzF3MSw4VYmh33MT61sCrqGYbUNPXYPmVxW ddIvNPWAs4931vUw/S80zpm883kPB+S0kMuWxKv3Wr8ZzEbBtdd3S9fZkFgb J2+ksC8OeCkHlqqY8196//Ki4OVEmI7wDrrJXF+G/c/DZgopkESzL0vQZfaR eWrN2qvp0F5R0VDL5OjMqRtvqoyzIETx7rqsCyRaVHX/CXmcC4eP7SqzViKx i293mpZnAfS15j6gHyOxacclSaKmEIbsVrueEPsft/+77alVDMKsQQ8v8zHX I2meZd1dAlI8q5okN5D4qlr5iKdhGdjrph8f+kdgjsxIYv1YOfwu+adyh0rg GprnYUmrCiC4fsf9aCdQaelu4ieiEp4svBKsKCGw+2dYv+F0DVDMee/d/0Cg Mvu5kpCHdVBhnTCzyNxP3E1DGz5P1cOEzDpS15zA17xndWYeNcKm/f6CH6SZ fRhzG19KN8H2thcmj3iZ42+Gcd2ZbAL7qRg5sb8M5BTi/Nlp1gIpS6FiO/MY uHvSIshiXyuck9v482YoAxX3myuL9rSCt21r8AMHBspwVKtzX2oHBWH5XgUp BtYnapseXNsBruGtK5MbGOhnYFSnndMBh19HbfAYo+OPi+oW1fu7ICRh07h2 MB2t9O7HrW7vgsqM640h1nSUXCV18YhnN8wNT/YVKdFx2o7r/CVqD1Rw7t5e N0FDDtWX8n2f+iFG4xMfuzgNXRTjT7oKDUBgo/vq1HnmOc0qZv/vJwMgSLC+ 0Cyloo6XzU2KwCCUeilfe6ZDxResTyPKTIagMyPNMvEpBdUd7C84pQ8Bp0IH z+nTFEzLtLF0WDsMZTdOGnespaC1l1nHychhmClsERR5O4FJtJFZj7oREFDO HHniNY6PS/Cu6p5RuLpriz/lzDhy5VByuG1GmTqp59jFxTEcNzckk9eNwTee yzEzZmPo+D3gVPPRcTikzRopKT2KLGfAy+XJOKj1mon4DY/gvcqRp7txHBoU Vusv+49gwaWQJ1vVJ8D5g3PQJuY5mwbhrl+vUODp4lrLZ2FDqFo+zvrfOwrs crOzTT07hC+WBf9uq6GAtT81cjsxiJVq3DyNKlRIft3mcE9hEI3NhhpHn1Fh o17ocZuhAdSQEBApz6BC/evYs3GvBrCg3PlWvxAN6sLbqn9F9GP+wUmFrTo0 2Nn86UvnaB9e4A0vYn9Hg38S3d7u4n24pTb3+pFpGrzrlE6t/dmD4uk1tofi 6XCryypgc3wnMnyOFP3v+1FM2dey0bEOdLmb5Dq4QocN100aQvZ2oGKbe4fG FQa8StK5XRbQhitbWTs4HjFgac/PycvVrZjNtneXdQgDHDbSX/WsasX5R9eG hfsYUCh1z/SAdTMeZpPQeLrMgNwrnfwLEU04e/Fa9QN+AqbkPmdMNzUi+/SS yZmbBGhHXupyP96Aq/T3Unc/JGDImzxrXFeHD1LGzwa8JSBtm6XPrcO1SBWQ XdZi6sRjnn/mTaiVOO294/SnegKKFSK3RKtW4MfqO0KuwwS4jnd3VUSVo9IW nfLFWaYO/el/n/qvFBe5I69uWkeCypjOv13XS7DlvvjqXB4SxgRCU20SirAv +rrQohAJR6u/t8+uLcQvk9RtzZIkrEsaMfDOzMNH2aJKcIqEm5Pbd40bZaMV V6nIaTUSLqzK8xbgzsAauz+arUwdXUa+eqyXnYLuy25myzdIuGLlrehTloiv vOM35TJ1d8JbhR8cvHHYaKLGvd6QBFe9QMpjsyhcu5ArTRiRIBJhYHblXhAa TLMYGJuQ0DTFA6E7XXCLW5Qb86wGhT/+Fo9rPoLBui7PQ8Yk2D/LcT7e7AdJ lwOtE5jxTlqqxnzT+AQJfw+qTuqRsFlH0dTSNAbk6MGKs9okRK3fnxkWHQ8s qQZv8q6R0M/2/mwbmQRvDn6xVL1AwvLXLToSXGlg07ZFIkCZBN0tuznSxDJh W9L4wWhZEnodoPr82Ry46TlRay9BQsie/H1NBvmwe/COx8a9JHw8anw5SKHw /yg277ia/jeAF6VFU4QkQgOpjJLqoSgaiuxKmkIohVQalCKKaEp7Ee2l9bR3 2nuPW3ee26CEb3739+fzOud8Pp/znM/zfs773teB/zS2dt8SYYKzstXNyPoK 2C9gq/2KgwnzyrV5ZOMq2Mz2+77TDwKuvT0T6DBSDb7jXGzbWc+v5Uf2hR12 tbBu1wX+jhICMsVu3ahxaYDmqqmNvSkEPJt+mhj2rxG4t3gGJ70lYMBBo+CC bzPcuzVyP96CAEeyRuGl160snz1e1aFDgO2hWpcyvzbQGuq70raXAH7HCT2Z U+2wWTA1V3mBAS437stM1nbArnPvqhO6GFCRpbVul28nNFxlzx7PZcCVXyOj MZpdMMsZc6zPkQGBW42v7ijuBsb9tc96hukQl+XV9TKuD6h1Et5LeXTwUXba UX25H55Pv6/5+YoO/s0nTP/wD4CalkjOG2U6tLCVNGi7DMIvKAh18KRB2ryw 7Uv1EZh0OsZIO0OD58dkU2i0EbgWdKejQ5wGugqhlsIRoyA4/A5oeVS460tx aXw0BpUv75R7DVJAODRv8XLtONwRPHP1XDwFvsgFiRwXmwBGvdRzSTsKKN61 OOF4cwKODjcPFs+SgcO1WvgjzyR0nehNU1ycga6nFuaNx6ZgrVjCN7m8Gfgr Fjod+WoK0obf0A84zcC5ewFpkb1TYHHpo5Y3fRp83UXExW+TwO/7Zl3jLhJ0 56/O7vabhuuFO7ifvyaByDn0ftg0DTw3ZE7NnCSBpHlnnwr/DARNEceP5U6B k9fGVWJvZ+CKiYVLpN8k8OQdvPUngAx6fYM3g1Qnof6BmJVVPRmkfiy9bKBP QMnBb2/7V1PgY8M2jU2GE7D9WXvwzCMK6MZVbHDjGwcDLvUTBuepkNduy04U jgHn0FwjxZ8KNwZyAstsxqAlTujZsxIqKH7TfsHrNgo6C0GlyZI02LYykLa6 fQSijvc47T1LA3rIWF77rhGomHCrSvGiweO9xnFrmodA0rCP02WIBiXbq9Nd tw5B483EJw3cdEic2vdn+M4gCB8Vj+A5SIfh9Fvir/kGIE3IUNnQjw477OWU 9Y72gjvzZnW1JAP2BrWlLvr0gAOjoNr8BAPWz2wg17V0w5PT352HbRkg8Nu7 bMm0C+o8YvLdUhmw883QdeuETrC16W6OqGNAl1zRtDClA8pbxz+EkP7/P4E5 x7n77eCSWDC9XYKAGwbDY7N5beDkbgOZKgS8v/3UeIj1vuFxvY5X7BwBe70t oo//boaRfc/lHbwJKOL102xwb4LPyW6l18IIsM5wfa+z0gDHX9/YK/WFAC3i +wvLlVrY+mTunVwHAUeajtuJP6mBA5dmt9qz6vTG3Zc3uf5UwXf+vM9eCwSk 3asAJZdKMC/1i7mxigkx55QT036UwzOtPXckBZlwb2vjV47xMgj8NBH0WZzF 3fTCoy97i2GN4MMgThkmHDG694KzpRCo+5X/KSgxYZXqepX3FXnw7Banx96j TNBWjZ4zzsuGaLuz+UssLpHNb7RWG2WA9GnJa8GnmZDoKpxUdOgTENf4lf+e YUKOl9do9aYEsH9ylv+QMRMOXl/PqfE7AiK6ikrUWFwOZt60EPYKgK8mhbtF WFyUSTIi7bp4GbDxglohK/bZxpvoccsXVaTUl/ew4iu8nqk/foVh+rUuf1XW 9aMNif34MR45kyeGxlkc3ZUYr7JT4xP2Jh6T2MGan8R50s1kOAMPyA/6/mH1 Cf4dLUOv1HMw5F2m6d1jTOgOexX4IiAfE7Va/rgqs+5fYfX8k75vSMvUad7O 4uoabXulEztLsdTrqI4Vi6vHZ21PmCiXo8uq6p+wngnsfV3RvYMVeI3506GQ kwnE54sXfDyr8JZTn0ULq+9dmVeIPrOjBg09zbw9pwjI0WR8k6quxfXWV8Jb 2wkY3qD4Y9a6HhMKH3uWlRKwU/fhftmEJszoGrvnzuLq76CuNfeOteBVA5vH Bo8JEGeTSLMc+o5SDveNK8wJ4A3J6OLgbkcXIdKuUBkCDl9jyjZ3tmOG1usP y7wEjJSv5NdEd2Bk7e4hDjoD4vbo7N2j1IUvdr61FPvM2v9Bf9b4/u7Cherh WCk/BiiInvxHr+hGi7+zkUOWDPir9C6+yqAX7SUtr17bwIA/VyML318eQIVG uwcdd+hwe4Ciaic2iD8GDELdj9EBCz0bV/cOoti3Lbsnhehgdu/fakejYbxs krSKyKRB6OW3TYp8I5ilcTEt1IPG6ltuQ+HVI5jBnurKoUcD9tLf16I2jeHO z4VjKmNU0NVSf6/gPIZU5/UnOD5RgVPYw5/r+xjm5ojciHagwvtJxcQ7nuOo GSgrfvovBS6mCp3/0jeBYi0+zyo5KfDZNW5+Zu8katIuVRvUkMFiq7qMDsvP /ZefeJQ+I0Ptw4THFiyfP70lSfHifzOwTvxgf4wFCUubH/FXTk6Di+wfgeB0 Euqzqx6tjZyGf+yJ8gG/SehuFVRTZzQN21VXInyCppEzMkK77RsJsq3Mycpf Z5BxZ1/RRa8pOMJBLnVmzKCvTtYTwUNTUNMTpVO5l4w3+Q+zsVMmgfpbOcU3 lYzhjSF7g89MQqsF359b7ym4x/XswUbBCWCG/3pPbaagInQ3BOI4FMnvVrfj oKLIa3Ju/J1xeCK6afsFByoedAu4VlM3Bmal0eeKj9KQQ33xdjx5BDi82w/M 3abhiw7b3z1HR6B8/0t20Q805A+Jax15PQzFLpRN2xZpWLl72eeZ/BCMjaoP su+gI4d/jLj8k0HwWQx92KRPRyupyJt1jQMga/Mzdm0MHVX/HuOZsOyHydtO K161dOSXM7Vz/NoH7Wpcnd10lscIbA3hW+qFZbdby5sPM1ApkXfQ3a8HVHgb zehFDDRkRieLR3fCziqbU+r9DDQrNS5pGu+AX7Nmq6wXGfjJSNwPd3aAtE7i bfl9BFqXydcEp7bBh562P63aBBqruImv6myFqcw9W///nWOf9Je7Ccbf4eBM 1sXIVwQubYo86HC2CWZJkunucQQuBjvlffveANktF0X35RHotOqOAIdePVAe lzR8riOwsHrS8lptLZQuZ63/2UegubdLf++xGnjwIUSPj0KgRcmjJM+iKtDw amylLxGYIqDJbnOgEtoLyvgjOJlIWZ8rH5ZWDnWTs94Cwkx8LiDO0NUuAy/L n+mGW5k4p5NvqHGwGC6xu0lfkWbikl+WvPT2QuA6bPhijwIThYKK1Heuy4P5 EQuPWmUmJr5/cuT8ryyAl/UlshpMJBdNN6fVfIVKrYo1F7SY2LDKdNubiBS4 R8mVO6XDxMcTunzv7OPg9Jojq1frMnFYUcB56kkotB4QeuTL8nTTx69uf9Xy gUZ2hcetrPjpn6YF9S4LdLQu4B5nnW/pJ8r+aN9rnEv9pVB0iolfc8vkTs9H ovqsE4/JSSbevX4x42pyAl5Q6M2rOsbE9VLsNpUdn3Ci+K/ND1Um3hxMFZVY ycALRpQLjANM9IdCUbH1OdhUu7uWKcdEM6cdx2xu5ePp65erfSSZCIE9QUn4 DUPrj7R8Wc/EyItPZrNESrGkWP2uHRcTE24LpiseKEfdO34nC38RKPnD9W4D i7NDeybZP5IJ1HILrnv1rAqvCEqoyFQT2Jh7Nv1UWy0G3Q21bMsgUOgwx+vN D+qxSx06BSMJNG3TSG0Ua8Q7Rzs+XrtFYLRKdpWLaQt6HRDbe9eIwAf3lb2M /n7Hgc17b24+RCCbSOuyqUEbbt/fyHeG5f3qqk2ibpR2dHZvl+4bYGCj20jE 2fwOvMX0Mudg7ee4513qek87MdjEDU47M/DzNFvo043duF/TWsLGkIFpNx6V fh3rRoXjfM9lZRlobi9H70ntwfP1urw5fXS0lvOtWTnUh4+/aA26pbPifS6a tN99eLMg6OOPp3T8dUrEPqusHwVmMrlXpOm4Y+DHn2TNQbzc22zwxZKG2+ZD suDoCG7jTxFSkKfhwyHqAPviCDLCfjg9+EXF8tiWmEsZo9iol7Ta8AUVXylN CH4PHMOxF2Zsz6MoOMVxfK51YRxjFufYza9R0PFnWyqv3gQujQXP82+jIM19 n/rduAnkFf1q9C+KjHYp/5Rj9Sax03G24GHADBZEPrmgFTKFlOG7L0xYns/3 jRx4mTSFWRG3/u1neb6bpOhel4MkNONV3J1nN43bLBx31reSkD3kxc43h0jY f/Js5Knf0/jCYZ/f2ekpHBZepXhGcwY9orivS4ROYTPT6Znmixksu22sQpmf xE+73t+jipCxn+2N+lfWuqRkDXF0CwWZkkstDfoTWCE/0TxyhYKb+k6Jiy2N 43OnxYmyUArKhcVLXTk9jl+shZ5sXEfFMzJaAcZzY+j6xLHppTYVHe6lrgsK H8ODVscKujyo6DIqeTS7YRRvduQETNCoSBMvPzIqMoo8z4dS4iRpWBpgdzDd dASv38yu33eehqtSSG/OUYfwB89vkcQCGhY18mh+WOzH3QGU3OZ7dORt5OAv O9yPv0K43Qsi6WjCPyRf86APy1ozUq5V07HENCosfrYH7SlfyQMiDOTnjxJ6 ubcHuU3EvL4cYWB184SWy41uFLK+4nXgGgPfsL/IDBjoxH8rmeYmCQzWcw90 rhTuRM/2nEPLVQzU2W+5Wkq3g5UHP0vtSQb+cOpe8clvQ4cNKWcpWwkUfffK S6G3FR17+rzVjhD42vYbdQ5YdZBbM3XEmMB2s67Hr9c1oaXIxWr5ZwQK6PvW BNxvwG5SivTOCAKHd989caenDiX/yQTgVwJ/nv0sd+JILdbPG3KzVRBod/d3 wY4P1bh2hlQ31UHg8r+fh7f8rUTP3wKr7kwSOPZB7S+YVuDAn0srYfMEchoa NGk/Qmx1yhWxYWMilyktO+NgCXqxvUntXMtEuVzugNHZQjy0qk1pciMTCw/R 1f6k5SFvxIDyu+1MPPSnuVTaNhstFj7oT8oyUWKjxeb1kI4N9JeinSzOJsq+ tQ3MTMGT/33RtjzMxF0RsR7c2+MwyiUi4Q2LY1X8yRsjtodgwVb3f2bqTIzp a/oTzOaF4z83qDeyOJyXlxy2y9cZWp9VnelmxWY65dIBmsHgqOl02JN1/s9N CtdnLGPA1SmDs541nnnu4/6pY8mQrR4+nMGaj5ZVQj3T+gXWbZkkDisy8ZW/ KelAehZEhfY9NmNx8pV5T8H8Qi68u3r2u9QOJr6WPjZXplIIeoHZei/FmPjv Lmeck3sxfPShXH+7joky7nKTtLIyyCmyfXWEnYn2EYsO7GwV8FxazPTZAoFV qdm0hphKMBmyvHNvikCVv2+5SjWqwWVxy52VTgIjD1Oc6odqwHrCa6NiJYEu 3jP7R0UbwAE2f/ZhcTOm4bKZXEgj0FL+oNxzAnneTmTcEWmGgKNi7YkOBJa8 Obc5fm0rCMTVaotpEri7xfZvkVYb8K6luIjIsvos24WaZ2ztML5w4fg0P4HM nCeM9S4dYOoU/XVDLwNlO0nj35U6QWhE0PXhNwZmv54ZaKR3Qsva6X3ZkQw8 YE03tr/WDdL3X4pVXmHtbx+wD1Lug3v3hVfZNdLxuNT+a+9ofaCjLlTVmEDH yioL8bjofjh3Nm7nenc65s79fFnGPgiNKi4/r8vSUT9Q4phW8TBc+bfmsuAj GtqVZFr22o5Atp2PSbcODQnpBhcQGgVVUYPbgRtp2LXtWLaK4hh8uP9tz1QO FXm+HhTsch0Hk9WmTefHKCgrs6P4XdM46Pjz+MymUtDF+RwpYQvLj1/t037j QME37ysffPo2AQ23L8RO/SXjmVOvNX/SJ8Fvj1bHNl4yPjfLcp5SnoLH5o8K NzfNYMLVJZO1T1mx9iWBvSyulhasm/8tQoIz/h9mP3DPIH+pShCn/DR813sZ uvSLhBS3Y/7296ehio27j55NwpZitkuLedPgZbRVfp09CVWMn0jZqc5AJftx noHBKfzu1SPpoUKGpLHFtvmsSfzHKXko7wEZyEvtHYE2kxj6n8D1P1lkaEve GGYvNolGtIzaNGkKvGno1V92m0ABZXPva1xUMJvZqflFdRynpjvP6hynQnu7 l03++Bi+niaJs7lSIfxVLPGf3xhKyD543DtDBcmhQvrnxFEUerV605w4DVST Uy8P0kewx/1la5sRDbbWttmnHGD1q2m+I/25LM+315Y4WDqE6i3Jt/+bokH4 6rDPnGxD6LKYnjsiQocpTsuS98cHccTysGwby0NcefJn11X0Y9H5l0rKwgw4 flZsm0V2D549anh6rQoDeM5+nBOmd+OLsmXlIFMGqHxQSKjf2Y3nZibFw+MY UNnwt8DqXSeGkwKXN1eyPKjp4jGThg6U6trkdnKcAdoX9s+5rrRj8pcbUwFb CCisWedzybYNJ1XE9icdJsB51/UsA6VWvPgnbuq6EQHnPe2cn4e2YE/o6HCp HQH7t4Uybi83IanQd3WxJwF/qe71giaNePjD/jOXQgjI3sWHfsX1KN9yq/bt JwKm6jLDJzfX4WJBfdZwCwF6AffPhvRU4X2VHc8ZwwQEc579I3igEi9tea0b Ticg/MYG8dLAcjywg3ppeJmAxG00qyudpbiDprWxhOWlGqFcfiS/IoxM6mY/ KMgEQ59vpSeOFqDoWqG4E5uYkL31leJHRg6KxCcEMiSZECSYtFE0JhNvH3Zz lpdmwvqDoteSYj5jzKeGtVx7mVBl2PHk178E5PjFtePRfiYcDrI0HiuLxFK/ X4Eeikx4Ucq3yXr5JWoWpWpsVWJCQ1jOqrJ/e/FtheNeY9bxG8Je3GpCL6G3 8JeVJOt65Y2O4q91IyGdTZ7ddw8TQsM6NSJrEmBqRE/BezcTKKl3nP+z/gy/ LLr2ibLWZ+rn3PLWOxN0/QO1j4sxITLPe8NYaw5IpT3t5RRgAi+QTLS2FsD4 vkUDKw4mRPBy3wu5WQTHHW2lr/4i4JE3sS8ztxRO8D2bo1IJMCx0qTzsWQ6o Ja27YYgAlDxaaCxVCX+7z40ONbHOVzf+96G2CnKWtt+DIgI6Dr9L/WtXAwNJ 1XUaKQTIe9i0WvLWgZ3yg7rBYAJmlFMiiz/XQ+/hu6YbnxDwQ/yp+o/TjZD7 dNRn3oaA3uaTv5ZnmuBZ3sSZuwYE6Psf21Tk0wJHDPUM9cUIuB3E/0LArA1c dv1tj/+PAd+GZJJwSzvQuoNPN7H249ajz8Qr+9th5Yvd69BkltdjmXqscSf0 uihkH2V5fKbSMd47Al1wPLrXvcCWAd6r+x7dbeyCdT+6D6nsYMDsObGOOfUe GJk+OQArdPhZ17zdZrEHyBppb6T66SD8VbOf+bUXshtVJHwD6HCZqEmV39wP hUepiUMTNDC3cON/OT0Ixp55DrN5NBiTXhc/GzoE+Z/rTzP8aKB31WbxkPYw FJVFOX+SocGNw+0mx+NGwChs+piFGRX0Yy39zySOQeJ279J5aSq821n16ePS GOQs7GJ7MkeBjTN+J4/rjkPswUE3H28KRM6E/nBhjINd+ARHdAgZWtsLfxjt mYQD2UmSBy+ToWpnhAfVZRK22BJG3ZvI4HdlxQBrJmE3/6p2zcgZEO28k8Vv NgXG4S2vhN5MQ9t5p6U5bxJILKpq6+hNQ3Kq25RwAwla6/c0RnFOg4VrYscl gWmQcVFXyX5EAtJHx0zNiGlYvTalpPvsFLxqzrh4Nn4GLo6pf7i8ZgosAm1/ /v+7AX/9sH3CRZPQ3tTopredDPKMLU8ObZuEJLnrVo+iyDBV+mA8eGwc3gRA wUY/Cvz9/QO2B43Dy+M/bx1HCtj/IQ7+UxsHEatu/RuLFFC8d3koP3QMNiyf /C/aggrlY8y+CZ8R6MyW4/LZQ4PTwl66WweHgdjS72h7lQYfdw9lKSsMQ9cZ 3y/gTwN2/w7D3b2DIPOpOLt1jAaTp+PCuGQHIeHZOplnfHQw2rN7aeLxAPwq WVux+xAdbl1feR0v1g+SRY47VHzpQD/ssOu9bR9QIpam49PocPiV8fvInF64 vt2/bqmNDhHkri3sej0g02h56qoYAwJtHkT9uNcJraf3vx6OYIBcwAVX/YIO 4K2a2OtcwADXbXd0Zv9rB9ltz7upnQx4d8WzVvlFGzQ+usLpzEPAq1+yMp0f WkG1vOmFzw4CtFMkBLh2foczfTVCjqqsOoO5DDHFJhCV3h07YMuqqwjFv8L5 DXDy0qG/F9wICLtDK9igWg9O2vJcnwNZdXjd/YRSaS1sOFPH1RNLAKxb4HOG Gmjrphr2ZxHgfuWZF7W8CpZ7StVyKgjg9fu9JfF4JVxYSDps1UaA0qKSeUZF ObRKGGaRWdwVPSOQcOhpGcwNZu7RYnHj869ANqpnMbDziSjc/0nAgQCjv+Hu hfBQT/j8g38E5O9xqjF3yYMsZoKKPjcTHvWlvzNxyobep5teLrI45dt6X994 MB2CxqTYnDcwYc3Ti77fv6dCyki3WfUWJiTm1N2wqogHN/9kx5ltTGhbUygV YRsB/9Huiw7vYMJzVckY4XcvwcLFUz5pJxMCnGYPNpafAwPC5SvsYoJwAW1z 64Qvxo87B35hHYfrR2fN+MPwa/NcH411/YAJW5RCSBzO5fbE/McaX+TLoKBH fAraWNxnn2DN3wNXSobSv6L+DlfpCNb6fvvXrOEZzsIkOW4dKVYfkTz9FufG cxHcImK9WPenltSpzzddgKHmfF5ZrPvvce9xVaEUoZ97uFo+Kz9n/Dm2mdJK 8bdDt0rQ/7/zGPF+tfdhOUZzf51QGyEgOWlGlmexAmlspjnIyr914pPi+IVq vGiROa2dTUDIHLNY07EW2RlqzvpxBPw3ar24hqjD+S9WHrJBBBDbPV9WTjVi TnBrv/0NAlxWJR74eK0Z0eZLRtdZAjLOj+Vb9rZgDVOLb+NRVh9tev+1yLIN VS9v6pXnJeDIq+T3e/e1Y/m46WAZgwEHrywc6V9sx5qpq23LrQyIGcwbLfPr xBAF0vyDNwyYlKBzTZ/pwpEd5svf7jLg2vgnjZ2i3eh18Ex8uh4DJPh1wiqj e7D8iaBSJjsDbMSsDgpZ9uKWaOWb5QN0CHHT6TXe2YepWRcm/bLpMCa0PTk4 qR+Ly0MntK7RYcWu1YUrcgi3b960JjmZBsyzz1dznR/GjvHW6aQHNCBpxg7k rx3BtCEljjtaNHBOU4lZ4zqKOt1iK1cGqfC+hbmrcvs4HnFb3Df3l/Ued/Xx d6HH4xgWcqvdvpICWcctYiNax1EjdM2uqucUGNl60VrTdQIvZ/4KZr3Dw662 TbOBNZOoq5x07hwPGXy8PGQPb5hCvRe/JmdrZkC4TrdxyWYK5bUlB728Z8Dm q8bWklUk7LhYCt4/pyHugPRFssI0tr48dNG0nQS9VrHt7K4sz7eePTjiSwKF /ziebq6cRhfSU4XbR0hwyZ+zRM1wBj+1P5fP/TgF55uTkGFKxmr+Mjtrk0no tqaXfvpIxgKZkNVx3JMwlHb7g/4wGTs9VeQ48yYgTW5X9lGW938fyBEw5puA FgulW09DKKgrY3f9RN44tA6Z/ktso+CnLt3r9tfGIbdC3sBJi4qKX4d+3Esf g3yZKfomNyr+/EO1NL4wBpfK1qoEZ/3/9xMxm9+Lo8B8a6ZEbKZh+mYDXruA EXjMtLMQGaXhmt4S+eOJg9BLupT5l4eOJ8jNN1f/GIC2zrAbrQfoGJu7BMWa A9DzPjxRzoeOk2oXDKSH+0Dxj7lg5mc6WlrJ2VBk+iBoZ2KmWBsd245095U4 9YJd3EDn640MFGuW+JuzpgfMC46GhB1hIGkVVw/pTDeM6Alze15l4FfpJvOT oV0QPf3y93g4A1dpRip93tEJIkoFwib5DIzIbpwuvdEBZHXfdV87GHiuNVhS /Es7WISVXenlInCSya/brdQGQ0J6MV8lCcwoif/2hPodeNtaMy6rEKg3eueB 5N0WmJM1jO89Q6BV7KJ/3GwTDM3di5C1JtCIvbdc4H4j6C76Vhm4ENiWpfLj 8Xw9FAhEXtUKIFj76TgH07EO7qiGzsd8JTBd4fKdQ3erYdLAJJ6zlMDRD7fz dtIqgceWJK7aROBGOnfB1RsVIHx3f69aH4F/6mWWm2sQDm4RPLeO5bEvpKb3 pReXwOE6jc1pBIEWN6hHHmV+A/buS/Wivwis7ve6oJ2YDztjxtgM2Jh46IlT 5ZGwHBCd1XU24mJi9ZeRxnsvMkGA49fINpZH27dwe61b/Axu64/yFAsxUS1R Y/5IXyJ8szep2y7KxL69Pae0nD6CDnfosvFGJu7k/pq26tBbkC2SeHWW5eUl 940vpPc5QdCw5KPNrDh7yCBnu9QTLAjCsvQNTHzSsLHF3O8d/r4v6sS/nomJ CrtWba+JwfV/DmQeEWTi/L6xkw1syZihuSNagY+JK9WlblslvqDyrUGHBQ7W eH+uHpHZmoXrvPTtnv5HoFmoclWwXC7KzJ9tG/5B4PpiTUEF5QI8/iKXbQ2N wAWG4/C4ZhF+Y+wy+zPK8vCn/HMvDErxUL7ahTKW95vXz67z3VOO+mwO1oa1 BN4q3781PqMCNd4JC2cUELgcRNm87kAVCr82mBtOIVBnc/WqgrxqVIzcHDcU SmBe5e/eN8q12Fqg3pzmQ6DkzoWkgMI6NPTWkNV3JFD8YbtXuEoD/jsa/Xq1 Dmv8FvbhL4ea8XfHBzVxBQKF5v0KQrNbsLwlwZ5HjMDoh0/PXZJvRfv1vyVs phg494Xrr6BQOxp0lSV11zOwI8jGlKulHeVybPMlvjBw2KiwU8+/A3X1/f5q 3GPgtoR2rvi/nbioFuB2SZ+BV9eLacjWdOGkdM6jzTIM5Gf/VVXyiuV7TNMP yYN0pBmTHKbEepFjzEHLKYeOI/95BdoO9+K58YSbcy/oGD6dSGmL7UN3q6R+ Hlb9KutmtqruHMAPq3u3pnLS0VA8ukBmagBVLmDXvx4autgQYYPxg9hwMvnA 1AMaejcHhN0RH0bhiJxN5YlU/OU7qWH8bxQzF1IIuztUvMk2HaF2dQwfVphN DB+kYgK9TVEwdwyl+IdfHi6noLrwDoqdzTjSR9mTiHoyTuxn13Aom0CTqN52 LX8W/wQeZYYJTyJ1/OJpN20yHsvdIjTG8vfuHR/lPuIMNieke1bzTCFzMmFl ddI0xtJXv3PWJuEpyY13Kk2mUTylMuvoOxIKdu1/6y40jQrKPB/WjJLQ42t3 6NxjEgZR/AQinaZR7ve09TGYQvphoZkrb2ZwqPn+sjoxiQnvVRzHu2bQgeGS YBw1iezJsU/PiZFRuGHhcM/PCax7vpWT9IGMGUPpQQnR45i67hbJhcXhrSnc 35q1x1FNWCJ9mcVh8kj+8l5iDIsMfGb0+ah4RqF+MV51DM96mm+/7k7FE07W 9d44ik0/t//bnENl1YV6iD73KFpeucMdTaaiVaaoT2bIML5qpC7MG9KwKGdf 4NWBIdxdfWhXuTcNFS4XXsnbOoSeXPcl9bNpKPjxXkZM7AB6llnmhAnQcWKf UffR8F505tlxvKqIjsstUh2OYz3YZ1voWDhKR2/t6ovl0j3oQXpV4LeagYa/ rl+vzunCXZYvSOk6DGwuy8zw/9WJK5o3xDnsGOhNG978TK0TN2jzrpH3Y+D0 jOoBlcp2jDUNEfpTwcAz4c+o7BztaCdjNf5hmIE15prt2062od1yH679xUBB +bktjJctKLNB6sVVWQKpF91OPeFpRsNVPk8PHSMwsW+uc/55Iyq2fksZukBg ZLivX5NHHVpyi2569YTAlzs0Xxgs12BfeEp3cBCBXTnMD/P3q1GYZznaMpbA UofTWo20SrQX3Nj8O4PAgKxNfFNWFeg14Vh+tYzAA1+V18XkIyacm6B5szjs kVAco5JYgqqPMxrv9RJY1KvJn/vmG/oMvCNJTRA49c41UcE9H7v5K9s/srgT 5fGnoMU2B+tpZIXhBQK5unhTPhtlYpS8ctb4bwL3vM1Pb3H6jOdSrq1LY3GZ /+KHm1onE9F9KnTtEU4m/v5XXU7dE4Wl5jFPA7iZqPBu2+yL8CCsk6swjOdl 4hyhlxx5/Ta2iLddf8LiJEYff3uZ7A33vfZkiLNiy1Iutr/GIcCrWXbMi4eJ afMn/tztj4WL0SvSqWuYGDRXs0+OOwUizzKevV/FxIjFwfzZQ19BXme910kW VxWV/o0ez8qC9w0+54sXCexYjoeO2lwQO9B9cpHVZ0o+/hR/OVgA+7ZJJC2S WPk7ZymlyywCV/Gl1pJBAv0aLbgX2MtgafS+wuk2ArUOmdZmvyiHtcub1aOq CJzlGNCoEKqEwTU0l/w8AnneHzQRjagChXt6TuHJBDK/P3oTs60G5kP56jVZ nL12qdXEKKkWPKNMtuWzOLtFt6h75msDeOrszv1tRuCMeMuXDIUm0HiY5Nly itW3o/faX89uhoIPX2/aKxGo8i7mNmS3gtj7LWrCqwj0H+oPlQ5vgzXbjddv ITPw32LSXd+L7VCnlkBdaGZgYNSJlp3tHWDwW3Nx0zsGLrv66V163QmuvQtu N50ZuKGHM7PiVBdMctvFvj7PwPA+DwfJ0m74cduJclmIgSUJ3W+VP/SBSWEL 744ndJT/76xWm34/DH8pK+G6SEciruWxw3/9cLLwVFrfPjpG220N+GIyCD8U ZZ00B2jYuCjGdYVvBM5cyrtptZuG59ICbjjljoBvbIJj2yIVJ/McfK6bjsK9 ui/7DtdScf6aeqb++THItbGFBQsq0m4MR1PDx2E4Z5vFrdcUlPhpduMWeRy2 0jOvdl6goH0N+wdV5QmofCWx6uRWCh5I3nayvGMCwhzH1ul9IuN4178D/OxT MOI9v2Z7/gzWPQ7JL9OdAuv/sjfzP5pB8idN89R3UyB6fJ/iBuUZLCzwWysu RYJdV/RVvXOncXbp2KyKyjQMnrt6gyeJhAVqXv62btNQ46nx33pzEvqOvSUX lE7Du1ULYkZiJOSj8TOKYQY+m94oM/efwgRveWuOI2TI3jzmqmQ+iWbrLM34 HpAhha5TziUyiVpbVgZ2ZJKB80oUr1TtBE683WrvKkWB6JZ0F2W5CdzStm9f 0AoFUo/NVe+hjmHwvxNnh5WooPirkcc3fAwVLXay7bGlAn//pzA17TE8tC5A pbSBCr8yI84nwyjWXGb79d8yFTreTG90DBvBlCqN9MOyNIh30R0TIoZRNM+z 39+HBjXrDe8zw4bwpqxCd3QmDeivbYyO0Abxn710d9IgDT6FrJg4qQ9iHH/t dS95OmxfLRHeMdKPxy0Lb6rV0YFn0wGh36K9WFQJifEMOqTt7D8mf64Hwz7l DRULM+A/jyghq9fdqL6Fmct2heVR1vQ182xd2MTcqSjryoDYB10rZkc6caHy rPVKBAOsc6rUCYcOnMhpMPzUzYAQknRyzHAb5sW+uuY+x4BbQffmOoTb8Enw +fZFPgL4NXa//hj4HS81/3m8cRcB2tFeYSqLzXhrLfnIsBoBruMdZi9Mm/Cp 0cZVOsYE5L4p0I2vaMBLM3s6je0IeLQ3rSdkVz12XeIaPxdIgL74NuIitRqp Uml3tGIIkHB8nnparwrzrrAndKYTYN8ncc0irQJvKnm0rSolYJOxYXkmbzmK NjldaGsg4LN0sXBIRwnaHNsUd7SbAOm1+5aeBn5DV5G3SidGCbD8QS83Op2P ab1EOGWGgAm2eIGdq3OwQkbNaQ+TgFPz41tOumRgHsXdgYfl2V1EyOgkORX9 mrINny0TIHLl0fi9y/EoLT42Gv6XgJfqw6duBobh6WEeNt0VAkhXNVsXu32Q S+pITCgrXtt6gy201gbOFbmVePzHWr/39fVdhUGwceOU7ao/BOwtOXvxwL8o UHrpX7p9iYDTVrvq9ASTQAy9mUNzBDTd8ev5F5MGrt7kowdpBByUNFM8tDEL vjd2zElPEtCpBatizXLhx0Yjh8J+Aqqak3M2JxSAApfN7unvBByfMEv2nCmC txpr3mVVErDUTtf5JFcG4h+ET27JI6BGaBfvkfxymEnVH5RKJiCKvUbv6sVK eGptzNEcQgC3S21B0s8qYNeO9FjvQ4B8S08y93sWV0Oui604EODPPOzuoFgH ZWtTM16YEvDA9m1yY0s9tJXIKRVqE7DS2hrLcbMR2E4ZfXy5nwCtNuY83+pm MAg75rjtPwYEZMhwHjnQCjbOnTumxhnAZs8r8NG6De6MeZw5W8OAmZMb40bl 22HoYYWhnD8DIj49fbmmogNUNHwp4TcYkFi0vrPPvxNaaiJ9804yIOqAM0eD YRcEt7v8WPmPDnuORTuODnTDS54Ojv19dGDHa7ML0T1wmOESLJJFB/9riSOr LHvhM7fgSXZzOshv7+dnTPVBnNu5LYlpNDB3WZfANjwIU/6yrykeNCBvu2Lq HzAEHBqVLVvO0oCr+t/crMowfPlV88tgngo/ZatjTr8ZgbFp66WtMqx4jcza /eFj0Gdd8H5lngLMlAOl4dQxsE+JfT1YQoG/c3Djsto4+J7JFX9nQIG3R66T mofHQUxCPPWwFRnkhuNqlcQmodg6q0N5NxlK+tLP/LCehMcnUu/qkGeg+LYT 50LmJCT15ZV8uDkDgRtMd0dpT8FpfzqHucU0aKxXYte3I4H7OfOmTVunISq9 MiQpnQQRU0HOS70kkDOMeLTrBwkuzEob7dYjQc1qCaPX7tPAU1QuFys9BZlr 3z7OeToDP3fcrcehSRDpO2X5s2IGNtl6TIi9nYSKwu6+U2xkeDPl4fBsaQK4 40+XbnZlcVd2pj+weBy+NkVFylhSIGzgAU/rrXG4rixHzo2gwO57nzQsNo3D N0n6lWNtFBDVj/Hxdx4DZa95BX1VKnyKtSNctUdgdZtK5Ao7DdL4OpTbI4ch 2DopU1eRBnl5x1azEUMQtPs253NzGlzn2n581dtBULslClWFNBDyoJlPjg1A TuvjTxWTNNBMn7xcuH8ABMeumKWuo8PJrsnkK4198JQRu1PmGh1aSgf+HNjQ B0XF+0XLfOhgNGEkJ2HRC7+3fuI5/JkOhQZ27ho/uqHtuduB2jk6MIrrqU/V uuFSXHjMoAgD3K3C6haedYGw2oknLQcZsO3x87JHgp0QGcDvctyJARdbtkYT JzuA0uMRsOcdAxYHxxhBru0Q0nzE/lsWA8KiReKIylZI0XkhVExlwCZ/1Rux 0t/BJdxEbS8nAa/35+rPv2yGQy+E2dUkCPjO2WNfadAAMRFcvUr6BDTqStXb fq2Dg61ebRstCFD5rP90ia8W1h26czDMmYDF9OJmv5vVYH6B2Jb5nIBgVa8p udpKeMgbV24RRoDzhrtCP7ZXwM61KefTWBww5XbWZSyXQW9RhtyrXAJU8/f+ DEgvhglptvjVFSxuP2NZg0Uh3LzqKifUTMBz4ZZfCuvzoKct4UQui7uu1tfW +NZkQYRGmjd9mHU8Ln55C/0L1PveefZtioA7gjfiSHrJYEt//HczlQClKtOl mxdi4MBr0UxBggDPj5IbMoWCYWK1xv3IWQKOnhBsnj7oBO/Pp0kXsrj4ezXb viLCC2/xt9fcZMXRS2/kXIpDUOXTyLkMFsc/RgkUqXvG4T0JJPnTCVh1hech aVsq/leyMXnx/9/vHzlqZIPp6K2i3fxrnIBrXeT0gvRsLFgwiwsaYOXj/MDE wN88vPx8p2dxOysf7essf57+hk891rW51xHgtUnw0lhICf4yOyTQVUwAECm/ nccQdTpN6itYfUpvfatu7fsKvLx/OEw7loANQZrHvVSqMHpjmpzVGxanP+LG C4PVyPPghIaYJys/F1e9UXxSizaxX2Jt7QlY5jj/aJVEPXo1WygYXiagt+IC 1yFWH02z6kyY30MApUznlcNyMzIi3oZmiBAwsuW16vmQ77h/wa+L9zcDpD9b q1pPtWG2j/LquEoGnF7WSN+U2Y7PSFSfkUQGnFp37d1/rh04aPDFCX0ZUBHa 7ryHvwufzw3ectRiwFX5MLplTxcOcFz0OSnJAK2XZi0JH7vxgHf73qo/dMib Vz26VbYXM+Psflek04HbYDZai9GLfGvM0rWf0yEooHCTYWYfntAY4Hc3pUN/ fnDgnNIAPtbY8pGNkw7mH+vqHs4P4LLbZJdxL43Vp3eHlWYOYm/RuhbzVBoc Wu8qekd2GO8d8i38rE0D0folc0XOMdy8hdaq70yF6iVVgRGzMaRGUyy+qFNh SLHiWVveGMb53C2d4KTCI7aUg4+sxtFMbkPDcDAFZruWx67nTSCtir31QgwZ Prp+/tLGNYmpfnfpOeZkwL0TwnZXJvE6J6/gigQZjr1xPP1veRLX2vD/tIic gV2TA9X2CiQ0+bM7vthnGsjPz/rnu5Fw8c2jNS1q05AruHfH2loSRhZuLppY IMH5ovqylkvTWPyOa52MOQkKykjnzt6bwcifMpmP5KZga2frodjsGTTdVxHI PTgJD+U2jI3/mMFjnhdbCl9Own8J6WOKD8nYl5qb5zszAWYte8PyblPQzI9q ohw2DpJPtW/oJVOwtvyOuOzxcUj2SKCVjlJwhcOw/hKrvwi6n/klb0jFJxds z7mpjkGr/sR7GV8qqpmc/8OsHIVvie78P79RccNOCdOnAqNwOsvT+L9tNByt ddwenDgMtlOc0QfP0vDxh/7obYwh2OXBVn3Im4Zrvvlfsj04BDnb9ym/Hqbh WVKEwTEcAGu+8b7LfnRsWJIREKjrBeaX5tLkdDouePdVnFnTC8J+g+szuugY sOZK+ssTPVB3K9OJLM5A88X/ojaVdUFu4g/9DcBA7W0+xJPlTvC94n70lzkD GScHNrIf7IQtlLyojo8MvKDoyuaX3A6brkZcrC9iYI7t/WsfRtpgbotmrn0P A18/b22bE20D64BAj7JZ1ngJux7vjvgOX4lrr0t4CNQ/bbNViLMFuB7H19ls J5DX4tajvHtNcC7BSuqbMoEni0M8dvU3wJLrRaur1wkcpZfnZqbWwumba3Ie OhLIadMu+USuBtKjGh7ZehP427NAxi2tCrREDTfIviHw2NaAt9/2VMK3qomV 0o8Erg1Kl9ZJKwdbNqevOz8T+OCvi7vN+TIQCQr5ZMry1j45mumGs8UwtP/V cxskcGzMJL1MvxDWlp6a1KgnkD/SWcVdJw/OdzvcIrcS6Clb1GR/PBu+Clt0 WPQQaD7c7GX6IB28W/YPf2Z5M5/XM2qJbSpI2Wdcrhol0P3Yr6jDl+LhsYaD RNoEgd65Yh28geFQRKoQsZwiUK7EMOx9vz8cPZUrS2bFA9llUr31SqArJGam zopdC/b4TH3xQ65Sj3wL1vW0nqg+j6Uw1FBQ1b3AGj/9Z97VGr54NBgyURFj zV+/qklMYEsqbruX8+VzN4FPOosHrsum42GBlpG1rPXfbj5/D7Zk46wUUwjq CIzhdivYsD0PZT9vDDleRqDD+VP3xXYX4hrR5cr1uQRGv4/r2i1XjN7Fi+zf Uglc1bwivnNfGT7skKyWjyJQ8uop3cdh5RiwsN/vYSCBtj+UThVtrER+Ra+u N54EPm7ROaIdVoVcBXzHPe4RWD0ef4F/Qw2mLFvfgWsEvrHiHF79vhafTX2s ABUCxS75X1B73YDLYGHtJUWghoH3nAV3E3b+/VwSto6Vv43nDV2fNuP9V+3s Z0YYKBH3RPS0UysOPD5QQ1QzsLRTVWPOuQ2zckVoNz8zcFq462zk/nasGebz X3Bk4J+tC4NT8R34t2aXAgfL+/lPRHO4mHTiN9kvUQsHGWh1R2NeV6QLf4hP xDgt0PFjVmXbO69u5N5YVSVuRce+2oTTDKM+5CN9ydNRY9Xb8Zsbilb1o+3J +1qm6+moa81BCczpx8/fdexPVdAwL6Ps9iHhQfwpVNZ3lZ+Gn2tvZX+rHGbV VaQW2ygVUfqNMq/9CCaH326NSqeicGnIzX3rR9HuskB7pS4V5fc6/menMIYB 1+Uslh9S0FOvutrhwThqHuMU7FWl4DqfWr3CpnGkhH50ePMfGZWipksUtk/g SPBhlzhPMt5QP0okNkygyMGG1tcPZ3CtPD1RQXAKO1q+DUcozuBUa7dxiPkU +tfxG0TQpjFc+qDQuvQpXPfQaL2n6TSqtikHSZ8i4e44XTVNJRLqUy/RUxym cX+o3uIJ0hQuyoSInSicRk6H640Xwqaw5d6kdN/KNDKfX1jI+DWJjyklyoP+ M/jkXM3ftMwJlPh8vHoxiIwi0ksMH9MJ7MgcMvvznYz72EzuvOCawIcyK19H 11IwQORQ4E6TceSQqzmj5ktBXRPhk1Lzo3h3S7nf7xtUvPvh2IZb6qMYe2Cz Q9ZHKlITaAU6fiMocFZO+kAHFY+GVgaQNwxj9eD9d6+VaZiURnUuMR1C8xPb 8yzsaEjNr/lwKm4QuwOTWeVEw0yp5by03QN4TcrQy3yB9dz0k3ve3ejHi8aO 4fu20THFlRx4MaUPP/aFieWdpuNlqf15gVK9KDmsk0OOpCPTPWZzhUAXulMK T2fuY+AK8/SA86lOlOXRU9poyMDT+mw6ul4dGL3Vv1X2HgP3e6p4ezDa0Eg8 1kE/jYEPune+Y+5oQ9WP4XiljoEn/x3NNcj4jqb3Qq+sm2Dg/bjS4U0eTRjt R860FGHV0Y3vflGTDWgtU3F4lRyB/h8NCn7q1GPNmYpwLSBw191XG1TSarHc vHpilzGBZkfMTB+uq0F/4bcKqTYETlxU1au6W4U/0ia/NjwksP2yfaZiawVa eD0KffGcwNft+6265MtxpVjg8Mx7Alcb5vm5bylFTkdP8ngcgcVMCWd/gSJs 1fhPDL8QOKM9svx2VQGu/5DFbptPoO/xmz8KfuTg+vS1Wj0srjh3rOhsms7E iYHqFwK1BFaOD5V/+pqGgj/7A1nvr7i1uMxcJDAJp5fDNg61seLUa/lXB6NR 2SDi590uAhUW+IxvRwQj6XH9mkYWdxUOvz9wzuQxfntgcYjRy+LyRJpbfsYj SLWbf9THiuvijJXM5YPhw5JJewDr/EezJw5wOESDg3C7ERdrPJ5g3csKl5PA /2SPkB5rvngeJyv3R2kQE3hM7VITgWEelrJdjZmglHeAY28Na/ze/p1H+3Pg yW7Jzw2lBP4SXFLrms4H4ny5qwKrj0T8mwn2WvgGjz6Itl5PIzBxxu7s9n8l 0JNovdYkltXndq70NHGUw5uLionbWPksFxJ6YPmiAm4dU12fwcp33G0duZPr qkDwjdM0jwuBbrF7o7KEa8HkmdKGnZcINI3j/C7+vg5u33KpnjpBYOfWgFVh 6xvAt87ioZMii5ufXlW5CTfDXmoR38oaAl9xSwvXB7VAhuXb2D9MBs6qDJGn +Vrh2r26D429DFS9cH2TAls7GJs1p40lsDiqzW99pqQdVn68a5f1Z2DCvtei hY9Ynu8V5nnqNgPjzkmKG9E74USYvBifPANbn5QX30vqApX1fx2z1jFQf8fI pVIzlufHXldSotMxafCOc01TD1g+OXKyPomOzTZ7njp698LEpyirMS863jgb lCJ/uA9G5C979V2lY9Qn1SKM6ocjhHTjXT46XknVLHxkNgRJd4Q+Xzen4SfZ /j/TvCzP71v3MEmRhjw7HtnuLxgGOZO7r3tX0dBX2TlAYe0oXE/5KsoXT8WM DySzqM4xaNPl2T3dSUHqVee6q7vGIa/rXWTTRwrKVIho3n44DsGHykzTbSn4 vm4x+cGGCVitevmN808y2qnete0zmIRj5qLGWlxkdOHiXD4XPgkK35fCXjXO IDRQPvJPTEKezJc1zFcz+HPY8Ze60xTIz75r4haYQUtrTn+FVyTQ3f3wWyf3 NKZctBO+0UaCsQbhbtkaEjr81ZBpEJmGTRNvG794kZAIulDPGT4Nz67JF2j9 nMLBGzM3toTOQGXtzUds3ZM4eSsnwa5zBsitJB7ugEks8f9LbhEgQ8l+6q5z xyaxX2/pfq8vGZKMV5l/S51Ao/ryzFRbCrzt1d68y3Ec8xacpF2iKGBl0MMb vH0cTQ07rpxpp0CnzM1/l9vH8Gjqwz9rVKiwT2ZgH/v+MVT+nRfstEwFlcH+ NVK1w7gqQ41TS5oGErlvQnS3DuPNq8lavOdp8E28/MRlpyG02axp9/gzDdKc FEggPoh38np5JLpoUKsTNLb73gCqLB4mcv7SICFUSpC/oh8HDAZtv+rSYU2h 5qsliz5cc7adm9+BDg//aCpwZfWik7EAz9X3dFBsH89X/NeD+YKcOen9dCB2 TrrNh3dj+8x70u5LDBBwFRefqOzAA3fhZhnL833aGlv8+DqQj/H9iXIQA4Dx zcDTuB03Gk1DI8vDQpc9b/+rbMWZEsqf8QEG7D3Lf3mf4Xe0nB+06Z1jgGxJ i5jyQDNuPv6+/5I4AR6PrZo3MBpQv3mt7vh+AgxSIw7wPKhH7ZvkQyc1CTix mHZR8G8tipGM6E+NCXgvu/xc9WkNxqdG1UVYERBQvEcilKsaz86e3/fiPgEL Z9KfKL6qxInQo4FGXgSsHtrGv0WwAmvuG9kyXxFwC4KeVO5GfKndo2YTTkCy rxDvrr0lGG2YOPYsgYDvogGn3jALccb6AE3rKwHe59VEprLy8OvLu8zEPJbH Zs57nnTKRuW7c0HJJQTkndlyLedGOi49WOt5qpLlwfNp7wJmUlBYot7jZS1r /tFU9mu2cbg+bua6fQMBjpfiZKj1IfiUTl1DNBJgO8lYsff3xoBxAUuBJgL6 Deq2yKx2hGfj55z+/3tvPt/vh09PvoXTyXf1FFle7uelM252Ohre2w7yKlUR 8PlMfuZkUhKIabeMd5QSoEPRERbd/QUahJQE1xcQYOzJYep+LgukT6WTfrK8 fdPCWrkdb3Ph+52ICpckAnbfTe/u+V4A7unLwh8jWfELK/0HfMWQ2uhx2SqQ gNQbl/37tMuAfNZdspmVz52beRrulJfDW7lJ7j5H1v0u8lZ8Ma2ET7aq6GdB wFo1nYoNv6rgnW0Y25AhAZf/uthFBNcAJV3P9oEMAacW2k1iqutBrPzEuRJh Aubr1m5dMWkEneD7l9P+MIDjyBrHvfNNEIJLNN8GBjwqKtTP2NwKP73ai53S WfuNK2Pw3sU2uFXWKMcfzIDF4i1lTRLt4DSmLnzmAgPI/El1cl874HH9Y+3F gwwQW+HdKe7UCW8Ljrw1EmEAnZMSvk+lC9Dq5PPtzXSgRXyIf43doC35wepD Mh2ef9IsbfTuAT0R69IWTzoUJn7/y6HVC8ob6xmW8nT4ZnnX6UxlH8zp2dk3 rKbD7rkrr/W9+mH+p0kBk+X5wXEfg3epD8A2YnvsM3caENbMbO2cQZBNGz+/ uoAK3nrfY0zfjMAjNb6b8U+pkHPoj8Dp/1Vo7tFQ528c31RbbtWYsqnFlssW QpetobO9d7Vt5VZRaNddspLbWlSbsSJhWbKRftmsJFIYVq2EjwwTETVuaWMy ZsZcvykMuy678/vzOef9x/s553le5/2c83zFw9xQ9GUdJymygssudSl5iNRa 0xY+LIGRmqtP8903sD2SffTEhBj2bGGJ32I+Bjw9t3Pvi5FxgXHQ2Z2PnEJe l0msGIGpq+K/K+NDopuSlKocw0i45LWu8yjy4oryrohFSBoYnZhKE2By7ewp mxIR/ELWX+vgClCVQlObPyGCXRbH7YWeELeY9q+lQ0KwCs3X+xcL4Rqgw7rb KsCOEHqeU7UIblYpg1lxAvhb1+V5TIgg/tTHu2yHAJFD5enM7WNg/LrhzcXf R5F+M8aPVjWGdE/ObutwPkyPm9utLBQj5ZQkXn0DH/O5ExsrXqn6MiystOSO IJ8m0TpGl+BeWoxR8LYRWBt/ubs6QYIWL4axvI8H68SEN2EuUlx9NHNay4qH Uu2o2zpJUuSrT5pNJw8jdF/IVHmNFPLdE3u/3j4EN5+ZCraODO7N/HUXma+Q SDl72TTLEPxDsLi6axBKv8vjJ2UyXPLjtL3RH8Qc7bohky5HRbeah8fDARQa PDEJ8JWj0rVOUrl0AI3m+WqWF+WwuBnqanSkHzPfPkp+XSpH2+fJA2eFvdAr vaPOk8uhWR+8PsSyF7cPN5201lZg9a7a1CsxPTi9/+mnvhYKnGCmZN5bwkXP 33PabkEK2Ol5/nLH/gXmTYtkeomqOX5YcXE28zmm6M43/vxNAaYvg4rZ2oUH vj6R57sVcMeTdRG1nZAqRooLRQrIXEZLnPZ0YD67ZiB/TgGfrbucDdjtSJf2 bgmlUTjo1fF8/Os2+K8efUUzobDDJGqup50DfsFm/bRdFI6a2pT0O7Ti7aLi PX0HVBz8bmwu2qkZFyy6E0aCKKzc2Hre+lkT9hpu+b4wmsLsj0sPpuc1Yki5 mbf1AoU7BQa8n3MeoS/nulN2BoUzm80b4y7XQnPcwrn5KgXn4c738en3Mebg H/f4dwoLEZxsVnI1PLR/S8wspSCLKYj99oNK1GkYrrGopLDtWI+x+ftSxIRo v8+toRC38O/ja5Y3sXhRRpPNQxU3Ax41nuzNBa12ythHxeF/xw/NW+VcQMO6 D2c/bKTwSU4Wy24hgvR8M2+9VVXr2H1vGdJ+mURq5j8ZUun7omjnDrkUkPFJ I65WHYX+4wucp6dvk3WL3WMaVZzftPELYm9VTuqdouXvVX7Mf3LnbZ6pIvd2 28aXqfx6aZ6faXO/T/ybXv4sLKCw838unR4PasmpGmXCrRwKT1fnplbS60nL gZLRsVQK6gHMsKJwQipyTuxjnacw7RoQuDTwMVF+tdx5IZQC+9DgB940NrHz YD/gelHwTlTncOpbyKDmGgdLRwpDZ43nzYI4RL+/SUyzoaC92Hg2elUbCU1i xzONKcjLOjb+WttOeNH7daJXqDifVCoM9ekggZNXa5RKBboZq1rfLXlGlpTT M5YMK/Cxm6Grxp0u0rLfoLeArUD4tvoVR5XPiZaBuSQxTYFpL79QNc4LElsd n9AdosD8wLFi7hUuSZkUfPz/f9X4jJW5LKteMt+dU2O2TAFTU92TZbO9xJtf vryTL8c/RLjnBqePzHL3rVzWIId6XEaz4/EBEscwLDoSKkdYY7904pOXJOC4 Jj1wrxxljIaPwsZekrc78v/RWyvHThvHtfcjXhEzh/iqiAYZ0uJqhsO2/0UO 97vIdH9R7WuDSVbf5F9ky73cyCAvGfr/1nJMihoipXYOb1fNSJH35Oizh9bD RGFU1BfGlmJaw2pTrHyYtOrOCX/KkIK17IvMalUOsyemqzv1pVhxOmmNxrUR crhBa7mjlQS2tVla+9+NEFv9HMu8cTFe2Ky/desAn3jOan9WyRKjiunUy5rk k00F2j72W8Q4c6Ms49qXAhKzR9KWuXYMvoxz2UHZAqIxWGqa8VwE5YpFNz/j C4jCljEQfkmEkPGWc81MIfnDe+qHiXdCRNWmsc52qO5/m57i6yreLqPHPt3w kYiYlSezdnkI4f3O1/BPPxHhCf5w71AXYnrqDH3nXRHpk7ef+qZOgP8AOLZT 3g== "]]}}, GraphicsComplexBox[CompressedData[" 1:eJwUl2c8lY8bxpWGmTKSKBWVFCWkFHeKihRJKJKIZGQlq0QiJCQziuy997rP Ho5x7JmfJonSQiH/8z9vnpfnfM5zXff1/W63djGyXcnFxeXFw8X1/2di0v8/ TOzLcNXg63+PW/sN/osqrMKmyPiSRv8x1LSrlvKNysCXLloiXVl9uGyeIJL2 tRoTtrqMnzBvwQelRJcq21YUrhY97d5LwOE7bx2bvvXh2KbGjFvbWWjMHMsY tO1FQwf1YV6pfkz2aI/I/03H6KzP2ZNSI3jT2+DLHbkUDJBs/qDsOYjSjEAB CZsyoDT+LQgu6cRCrj3Mox5lQHj6c1fGxkZ8WtAoekY2HRO+p4rY+XhBEHMT 07CPjt6HXql5/3oI/0Y+Db3n6sIYrdzWEyKIEWcel/rFtOFA2tHx2//YaDR0 929LVQXOyYbY5s33IH/PgGLlz3IwHN3/ceo9G/mDGlTjNpIgfcef43Y7COj/ yGgh06IW5nZ4qlIZaUAx2cacp2Zi93c965xdDbC/ZvOmh58ZuF/YuiDoSg5Y ZeT6epxqR/HmEJ/tTxoxQvFN1xdBMj51kHrGb9iO2hYD0c+FomCDhefSuWw2 JujKSwq8J4LxNpPEX9epyJU69zI+gQrZtgvXxQqeIfF2a6NHfwXQ3jmuKchs hpLg8tY18+UopaiVKZpAgtY7pWK3BplI/76jwPtJJsQdblv+V8xE0R9H647Z Ip4TK3h+T7kap7/FZTTWtGLe6Memu98rYI72vuTsUgtuPiElfvIVDbanpRIV 3GtQ4JHs91W6VPDx/1y6trIY/vL+CXU6lAV5D0yNonSo8OTIk+0+1o3oZTgr XL5MgmfnMrjmbVvwcNdFvg7zJ5BVeehhyggVM1XfldJeEdE16u2OtxmZmAvb VMPKWJh+LHGg7XIzyE/z+gXJ0vBv6lOa0CsGPK2LT16Qz8DCnfyjp9aRIKd2 15zEz2b4VMDjrUMJxCy+XQyPEToMr+I9dnQTGS1kG2TsthAg6pwUtwdvC5qJ TRwUbnyF+h/rZ6ZiCThHqbCgHqdixPn8Au+maGhrHOzqrGjB2y7iBh90KTB/ 2Ik3XJGARWz5hdxxBmy8srHEpiAByumdF6oc62CgenE4fwMV3hA0fg6aEZF/ i69Hqv077Pz49Z0f5OEp8l29AL4R5NIpnb+WmI9magrx4lmdqBMY/ObEdxLy dOczEzvIeHjlr7JBh27cJPr0T9x2MiZcNTrh7d6PlyW+Qm1oF1bKNLHMDnXi 3mMXI8Tih/Dw9SNWF6Lr8YXhFSdCwTA6YOcWgucryLNXOisi2Idr93VQn5ys ArZUaK5cFQOj5G+GGG9IAVM7zyjR4CzM1iO9YJ9pxCsJHTda3iRCD/vHQfsN bGR3G9zYfCIbFxICbVScO7H/iEPALx8mDuj4kx2eUnBsgpb1lbsHC0eSFi68 cAcuQqCN90A3zoeNunBlN4NKxuCPzComWqzY+eXMHiIct6rq//QwCwX+3fg8 S34NuYnF+yPOVsEHWpSi+S/EcOV7B0OlauHy6W8B/rNtqCtm9EsqPwWpuaVs aaMWXH2l83eGOx1/44YDx5rLMOpoJ180Vydqcv/17hSuhvBHNdRVA604fHc8 Z00wFT5Ez6buPF2L4ZhrtyuBCJrtXyR0t5aAYO7OLyJpbuDRnZrTOUOC7E08 hyVVyfjHpX74h3cDtOUWWG/b2IrnvR9UaSlloWSjgHVMORnnAoObJQroqF1V 3E4Pt8dtH3y9j4m0Y1TjzQ1HaETwfri/c2UcBZtGYme+ttPhw4Y0+pJxJD5Q PDRU4tcEnvuTjoMCAaxjatWfVqbj/onVXoZbaDA/3lBQeJiG/R2P+XKda4C7 QX6P5dYWTAyQmKzoL0Ubx8oNcaubcP/VeH4JQwa2aUXEqlhnw60b3SwuEU4/ OgXLbV9QITFgZBUXqxFP/LvpQw+iww7INo0/kAtNEqL7zjWVg4Tpfdl/NVQY O7bSoYRchZsZx1O0WqmAMZqXKwkMXHW+OEE+oQA6TFWi4kTouNmudsmPuwE3 fhbdcmVbCQbX+U1u7WTi9Ga6ZPmrWmh8YM16a0XHgyn7phn3GWDiu6iw8lQh Sm0+XnemmwJnPQy3TzTXg3ycq9RfXSru4Nv29tOB91irGXTR1rkUd58Q2b4x aRT3JDWKDj3JwvrjsY2tUj3o3KEXUshsQv9dPXC8noZu6/QDBT5y7rBdUmu2 MhGr4z8NSEX0o0erwa+j3Gw0WXvdYt6/G4vGg6qbRAbR9pFRP08cCU317aMs to3gqoHbW9budYB5uabelx/7cU2kcj//iUpQkGh41Crdjo0XA69VCeTDDm4B 7rs/ynGfgVS/s3M5KhAePy9yfg6M7/InZ5xacZfqWHC1fTjeMd+4nrXciaPc 1i0xMRT8ruaw7o01E7d/E9w329yFbfybppa2piOXf/nc95wenKFlmMs/qIOf jlxvTZbb0LPyk6vbThLEvlJYz+9UhfSd9JebtMqgW60mOV2lBFINczv7zKqw p9hSRO9tPUhJvkg0XGKhnPwJ5530EFBLvKhvQGtF/4IzsenrycgTeuuUl2Ej CvE+0SSasZHsskmrtSUfwo85BoU/6EDna1ZaLtsoIPmCYXJtmoA/Z45aKmym wEubqD/HphLguT3lwa6CLPgiJLMyM4kIG8br+QU1mlAunlf0WxUBkvg2NKQ9 YSHXX2LxmXFVUFC2sP+0kY51x/jlQxbIyJ3h/vfj8Rw8rS5eef13G75/19Yd YdEIh0YPPN6yh5PXEs+nPkV02C2pQ/S5W4Dutil0HU8SqMx8jvcNq4Uz0use ijTZwYrDg9GHlGhw+lJCU2MyCUe+9/4QS0JYwwpWzKe14Ia+D2kpv1/gpb57 hL2PSOhTx36kbEzFhj3n3m3mtYJtBb3h+36yMOiORoYBhQQ1t4ZmTnFy0CDD tuLKZMA/WdHE27OeMB8pNlkl1ggjiUtHN64jA29KRcI521w0L1OrJRjSIStT xUvXiYaLekqbpNNqYEcCn+hfPib6ejz3884qw50//wTf6qjF/n8v756YoyPL 46UTf2ARjAc2XPv7nIlxlrqG5/poME1r5ovJq8GxnJNSP1zoYHXCsCqHXgqs FotrcsUNSCKsWdQOfIsXKX95dxEz0U0lNW/rtUG0Epb8JmlRhq8fXU0NftWO fRvFbR8E0FHh8EmDzUwiPk4/qGfwsBdjJH5otz6hoUi1S3xUeR+Gvv+jyPre g71qx/y5TdvQ58Fzg+0vhvGAzb/oJ5y+JRWoDWtRh3B0ye6N9bV8SP3R+ahv thvfruCrDLxUCW8Yx73oumQMqMy6Ni1kjgM8y8lm7ZGY55RfGClBxnuEqCar pDhwMI98WGreifJLLuajSZVYyl8WKX+JjT6qgYaq3O0ob/JGpz6pGQN+tPId IfegjPyLW0kcHnCSXfdu8/MuDP5ouZ0pTQRtg00XP/FRMfgT16jHuWawyvvz 8yLdFo+7jQguzVhgOZ/bxP5DddCX42nxkE3B8MVKpYlf5cB1uHmhr6EdLYzH 9CM7y/DH6pvRu3jo+GiSjnmaLATNtGJFl2S0gW+amzd34qGyI+8zXjXBgoXG EOM2E0N5lX6uWkWD7vLLFSZVhZgWM+Vveq4Rjtm18zWN1wCPoMic18xrvPUz TEDhNBlIE6a3Z7npWPM13P93agX8LWJc/+PBwv0KmlIiJ6qwZUJpIvgs4tKP drnqly34T25JkszOgHMPbFSeb+D04YY88qRSQH/Yheu+NQFbHVNUhrjo8Hdf 8ee9YolAtpRLfxRXCYU2Z35ZHyGDw81HM78UK/BDnG1HHC8VYnQWEoxHGKhg yyAVUgpgh80pzdk7HH5kuKw44FOPmHhx/16uSiyUW6FX69mCr++yxsN0q0CA z4rML8VE4jqKzOpYOvT5rY647VeBVso7DlZweO3En7J83FwN/o9z1q/+kwbX iE+CIszoEPKr+snhJ824NfrzFOkqGdTcu69N/GHiAbE4XB0VBmMb/P6Uq1GQ a+ZZZFYlEW0lidb7NifghodeNolNLXhcMjPHtogA8g2bA/8cpOAfiSEyHmBC hE77SlZSNO7yX04+okQEp4+rTGUKiEB/llUod5OO/VMPiq+Fvkc/lT1XmWPl GKz3YP5S53/IM1REc96XiQqSR5O3WvXiWgHT8SKleqQmYCP5LgNjf9BGdCQ7 0NrMXSiim4CrL+ksiF/qx5bZV7fdQ9uw7UOxQVNAD2arhgzW7hxA43zGrgc6 VLyT8Wzgp8IIPjQ7Nrc8+RhfhQQP7q0ZwC9KwgHFAhVgsWuBVWTDxr97eisP vyuGRy8Wfu5zrMGmovC2fqMC3D+68eZO9ScQemsk4c/hFlw/uiuh4IMOvuKv 6+MV6cKNS4lEpXUkdP00yiX0nLPTFTPbdKc7seTb8sQiJ3c/9s5cChvrwcWv YRNbbarhlHh9UdrvDtRw8358C0jgJviUsWewHovfKDpcW6gE0aJg9XiTXHDM +lxVjiVoUe00etG4AXpZN5XtYlvQcnqH0CnKS/heEOnkn92GJK1fPvJVBGSp qgioFxBQYTzzxdr0DlQfTU5xc38NPxxj+k5rsdGqIlujX5IM0b4sH6YKGW+4 TvHl/aXAwQwLlROujvD3wF9bs/Fi+CrwxKE5hgCdV68p3VGtxaWX2VLaLCK4 5us9f9rH8YI+xbwr4nHw8oeouZ8/A4+W/LmF40T8D65sL/5bipaGsVu1fNvw aEdlDVG3FkSzPeLWFTHRcca+me8kHRzOr/e+nVGOhNINHl1LZJjYUr0UIF4J PwzHqkfY8bBlXnM7aYgKJv9pWr+7R0CvdSPf1gQT4XlF7eTtmha08GSVtYIv pki/sCaepiB2q+vGRJLx+fv2edmy58jWr9RtnGUh7zvyzcZ1RIDZo6LqHhSc bveMl6YxwK/4+T5152g8x/ArfS1LgP/kffIYlkS475ngyP0jBef43nAdraZD YuJ4iOQYBfMP5ZnGSzZC5phvgXE+E2+bvM6Xvp2H2fE2k/e2NmGq7g01iWoa ph4M4NValwGFlyPzY063IF1H64x6ARVszrosbpJpxPCzuv7vLzBA+KSwZdpw NhBVulvzNyBOmr6siJ9/i6+m5v/cSMrG44ViZ0JqhvAxcWBC71Qx2lPzzvbd YaO4kpvGkjwVvzjmOA0XklC5J9EyNLQHdzmfNu/Kp6CXWtzrNzv7sXnF9Y9n yN3IoPHcwK8d2PmdrLRHbhj1omUp5o5VmLIvtVfn1DD6f5j0sNiWBWfFI/77 wNOLpxZV32nyV8EZscc2XYucvQ2Oki2oeQITTIra1IMU7NLbeWTqNQHvS7Fl XpgmgojPma9qLWw8XSq5S9G2BLvV0pcHZtg42viGnt7GQlnnP1vezxIx0GW7 c/GdHuyzdao7yZ0IA/I03eGT3bhv7Q/jExcJILWQsEHDgY7gS6ubP02AU7/Y kXo+8Wg6Ity1XesZfCxmxUvfr4HC+IXhbm8S/r3zKW6gswqk31EpPgHt+Hjy Usj5j7m4pbc5PIPKwFyl7ytGnJlYwx8jppuai2qEOZaidCe+LWZOG66ohzAt 5fH+IxzOOT8r2PKWCtToHX0UkwqcEfwVrfsbge7RYLTncwV49obSmZeikFi0 gMnHyEDOfH7k02EqSuQ/3RBIrgGG6Vkj60kWirf5EZynSjB5r7IaoZmIUX/F Gr5rMDFrE/v09fsxcMDXaH9dVRs2bPLZZaBPhplXSj+VnpIwbcrvTmowHaKJ Go3tbu6gKLdtsUmpDnaX+zZc6CSC7TUNuYHMQsykf7/8pZwKl3v23t9dSEet 2bKgI23l0L9mW3yfPRMjGeb+c01VeK/ktGbNy1p8/+zIt/UPmGiatLQrxbQU BsY2XtU7wvHb1/mVKpU0qFzT87fvaC3+kvU+wgilQe8VCcFOtTKI3SsyWmtb AJrng1N+5NOAcuCvtP0pzu4UHOb9XkoBpwtV14cDOfmXEX10UPo1FJWpfvEi UPGK9NK7iSuIfhcaXQnOWTidpJI/yfH+YxPrVfV3N8G5v9p3FMap2HO0zOfx LAO0L9UwPl9JR03MiL+zjQxlpQfkyjQQaCc9rkZok1HKXjnwDfsdKvO2c38o LMT1f7UitE3e4ND4fWn7khzcNcpd3fqmCx87WRXEDBAwx4EWYbCXiksFddZR Sl3YeHRkVcw8Eetu8r92jevHkxpXXd+e6sTNW/l1em90oXTy8zdnPgziDvfo EJFuRIOp2smmX8NYK9dhUef6DO4HUurYK/pxxfTdbsJyJTRS39HOOLNwPXeh uZBTJpw47FVU4FyEajrhi6QLNZgUFO6ro5oAe266X/Sxb8eXE+qFyx+SMVrW aFSI0YnGAw2VLuvomPh1VY8yLx0PbbXMLXfrRinajR77hUic5Lf9mGTQg1GU gMbVJxqBR39qQ/MECwfZ//JSGUQo7vFwvc1XinnTEe7ZjvlwyPqzjnRuORw8 7i6j3VCPVx2Nb0u11wHza+8lOek2DFEjFfuYB+BUn3CWYB4LRy2Z04wLVNTJ Cc5mbarBot/W6w82s5GxNLD4cbgMpK158og67diSuntV1VcKhFd/m1PZ3oQz F7xPS8+T4GMJ7aVyaxaYF3aOxcgkQtET0ZPWN0iQVyS+AZYJ2J4sXO1V2QyB x7XJjzl3N121TJBnPBbf/Vxx9eA9Kt7vvbFjYoKK4h331g11JKLH4xlRLznO 95lH+u5fTwCLa1NL4p40bOd7veXSCB0CPsTliYW9xsN7sv2zKggAqgsuORmN MCbgrNul/wwHDL8M55+mwZdF9u7hEAou66PeuuoGMLuQo3H7eQv+9lhaoZGd g42/7j9RjSdg/ZjZfv0vNFzWmpmqfJYAWbrhd99lszDaiZThoEuBMXtH4U1R BPTJrH5/6DADYhQC027vS4a07w+n0p/WwCuJmKfJDymgEup5031dGbZ51358 X0gDhxPHUoJq6XjDDMW39ZXDZPynY+YKDCR/2amGztX4gvSHMXyKw80Ousa/ uZh4z8wBZdsqoCRgX9vjZAbGfz4uN06nw2Xtf/yCC+V4oDLrYJ42DXj4T65d M1EFCoabM2yf1GLdb7qlHPdb3Gl2bca4MQMTSoP8D3IP4BDsYAnNVmCiIJVm 5tyKL2Po6dxTTCSEXfTeJ0/Ej628qmcu9GEt0TPTp5aB/kMP3YWl+vDXsXIj 1/V9qLP9Y9jDwhYk0K+E1HwZRgcvlvhFyMG730LiuvZw/CHkvuvLr8WQEyaV 5TvQhT6CSmsLdlTAuKDT/e+cHaBrBQrleMTgQkBIxkN5F7yyOvu7XBAV++mz B7elR4Pw4/iWQnIn7tkQ7uhNrMOCj7/V3h3uQMXw6YMX+di4NsQpaZNCHZ7K jU5R/daDPec9BF6NFkHdjt+f+umdqPO1ojCnmghruN8x+VNIuEbixQme6AYo 3PvEdWhNNPSI0bm3+8Zh8tHA/aqu9aByy1Cicp6GCYOfLfu2loB8UONhzdx2 lHD7zeJVrcG+ExecvLZSMSbjLk/IWCsGBu3cKy3shR0dv9UKv7Px0pErF465 EaALpbZn+9KR++SSxZkvVJhLuNp/vSEd00LbTyZCLVxSLCz6498AOlV2tHMr C5FO+pU5LkQGR5HqEb9oBmpapezMVSsGvZXzlKrKFlxppfRYy6kev29q427i cN5Tm84H6+gsbKhS2NuwvhgIySfSnsq1YgTvrgKzBirkdQtv3azSiPqCz2cv a3HyQOfW2BGWBZOZrxru2JfAo2Lr327XKUBL8hORfV+Dl7fUhXrsoMC/KLOg UioTRfmu/mV5v4a128/tEdahY9fxlK43i83Yqha7v9+1GNU874sTlFh4Naj0 uf6fOshwmeF72kxHoW8uTqNqDOi0LvEqkS/CbY4KPw+0kEFaO4RHsKIe3hzt 1vx1OgxKdE7UtjfT4QvTWib+JBGvJb46/6GXCApvJs7t3s3hs0r6RP10IM52 +zbw3SfhwPcH/v+ekXGT6U1tqRu3cOf98uRH/S2oefj8YmU8h3+798iK6pJQ ZuZ1eOleJuT2bYwuqXWCh17v25c2NgOv6s26+ftk6JZXNJ+4z8B7Z4g1tNL3 eNs2zXT8aCVOC96cDVAZw7LmGAUCNQNV485zsVb2YXLisLlGcC2qSmjNmt1g YlWLm+RNQhu62niKezEIqJ9yWWm3XD/y8MUYKV1oRSW5vcU75zicQtA6qpbZ j2onmsR+vaRho/m9U2f3jODvANohl+/PUYx0RKBq0yAWnGmI2nWqHDaOb3Np 4uPsC811g9uDUgigfEXVhjosl1dUni7ORsvgcEWdn0Ew7/zlfK8AE6nKF9c8 bHOHe9J2r3LXdeGZvZYO11kEPEjf0HIxqRU/n6nSsPTpREphrqXG2jLMtL+Q VDHTg132S9u9qyrhQ01uTpMbG6+NXcvVUybBvc35F39FNWHfB/NH6TXVwDeQ FeWXmQkbK35qPtTK57gyYcj3QgMspHubDNOYaMD1V/GIWgawDc8F5Pxrw67a QfXpf82o1B7WJfSWiDVBOXYyKzqQUbFFS0M3CYTfXlpw9GLjusZnES3BJIid jqZ/PU/Brb97WbkXqPDjxq3PCer3cNPBu5X+RWXgaDLEw/UToWf3z62OKVVo YvVON1SdBCX/bjUMWrXgHeLlMlXlVGC+GVnTu4WJelaBpis6CShrZqakmlKB p85xebRtb8MU4oxI4c5q0KyfedNv3oKPiKPGo3M0aNxyUrVgXRUeXbNvi24B BdjCO/jMiWVAvr/lcqdJGniuEXCYSqDCv+2HH9+ubcbT3Wr/meuRYNnsscqu hBaMye83UWx0gp16nnd1NlHRN1KgOzOZhBeSukuoQa8we8Ph6MNvWHjok6uf hAwBeOMPpTVz9vNwhM74hQYG3NqrdaDVNhnpKHalR5oIowM7tya5E2BkZgb7 pmPwlPzLg2c76XD7sJOBMTcFrelsi3C1Zsg+uq9xxTsmhkaVh7x1yMRK8oC/ pgLiRAbf0foVNDwbWCfk5p0Mz2d53taFtGCNxap7MiuoMHCe8rTkTDPqrAq1 9cxmQGCYm/iY1WsQ+Ot2+7AzAd29ryhHKL3DpqqqG9u6c3CmI02i7fowjucn ydJMCjHU5m8fhb8TpZ3ciUZ8FKyuc3ZrOERG/uvLr3KXulHQ/ezpQo66y2aK HjtwoR8DTjmfPL67G4vmzVrLEtno3vdxrfT7IZRXWqCH/KnBp5cHqoLuDeOr ux/W92mlgzbTRLYzohfLvd1/8KlVwWrn4skiMzqGHFwh/WdHHOSmPbhFb32N V6T+WnTQmtHN7p+T/NtESGCo9kS6s7FLjE8rsyEffV22/xVV7sQ21DinmMPx J7O0cT4dMkqIWIyHHe9B+ccrfBXeRkDrXLwg5Vk3RmkueXwvR6g+qT9WGcPA VgM+aRqBAN/thFNzjNNQPCB9bVzAC+jbZFm94F4N+yupde0aRFxJ+mnxmbcG Gi8MCehyuGdoS98B1bgMXGi7UKkXw0TZvLLNWp4MNOr+95VrQzE6KUjcNBft xNnLLxvyRWpBf0ehD3ldK2auMZkoq6fCtvxI1ubOKpQT4+vdzCZAwXDZjW5a GWSvYu6/bncXD8kPPFzeSgb50o3/SjUouD/jRDkW1sHetbZ6BbytyPdFyero s3x8kbtaLbWJhKOmlh6Fvgxc3vjoZsQ/f4j8GydmOt2GYVPXWv2jSPCVJ/sW M46M1wXDZJrK6CBVpGRzmcsTY6gBx7uuN4DwC96Bx2uIUGh9vp+7PAf9tPte CM5QweX6w8fBf2l47eqwQ8ruKjAYzfgWxmLiifBZXWeDCjxoTrktxtmnq2pz kj5fGVih+jJEKJbjA0KbWxuKW1Cv5L2WjSIN8pZdDh8Lr8e2HQJ5P9bRYXXf pWLbq0UQQbKfc9cshUMd3P/9OUID29QzWiICtRiYtvEzRYcKrcPvHujJM/GV 2BHXWNtsuBG8OWnOlYZqq7/cy1NrQvvE127a5/Mx3UK8XVCmBXecUVL6NFUP +lU+dzMLaOi9SWHyHZHjz/vFfxqb5OB+5fvYtIICrfyNIcp8HM/oj7skrU3B u+ashKkV7zk9NizRLizGuyKiwh/n3yAfS85rZXA2rvnr7J5xrxsVZ52Pd1Ug 1jfD5oYpKsavJffuedqJh+NdbgWGEfHBvGGwQ3w/hlQ9uDGVyeGDmLiusl9d 6C90p7flwSDGPLwYZ6JJxIz6S2e1141gtRXhw+TiI3j8idA46dmPYZ/si7lK K+Hs133xsfRW/JD3qcPqUg4sTn47Z9laioefdO64PlKJertWa0jExoFd+spY E/c2LIk5faBWLxYTn3ZY3pzoRPooY7VQF+f+hG0VIaszMGlCvVNfiuP3mm94 trYl4WrlYZnyBz3IDt4qKMn5v+48/Xt4YK4V17+66GK5TIQnxqTQv7XlyOdV LLc3vBi+xV8t+aVQBl1l5Cv862pRPWh6bZZjPfgmrrltkdCKx9lSUntY5uDb RLguCa0oZB4pPqZCQam0npDJujo86+aS2hHFxtY38lY8hiUQEt+Olz+343Sy X9bdSApsC2l8VPQQ8dOaz/4Hn5FhevHV2X/f0qCB7m74bCIN5hdEwvPXkOCB Ac+T4BzEPG11n1SOB6w6oFzn3cJC+yA275TXI2RktH0pMqChc9JplQtzFHRP /SO7sf81lt7KEP8h3o7C/CtEJ840w8IrgdNjxnRs+3xmv3MrHTSWdB+uech5 zy9TCLrJRKA/SDl1Mr0eqv1X2516ew81RV8OPeJwNpdE3g/ZRDJuF/ltIlLV BKKWBlqXqlpQ4NSH9O3P0/FkjQu/fAwR90nCAmMnDfM1BbNp6WHALXcocU0f C223H927/ykZcOyUxPd4Ik7mbdl+2osBhyoC7ZytoqFxR1t62HAdmL5NyV7J JkNMR8P9Q7pFuOe1qlfYGjrwmLtJ5Gym45Jsd72wdhW86H2b2ZnBwJGLXFm7 hCrRd+zE71fPqtGw2526P4iBiz5KhUbnyqBN8/sPpW1MDBvenOptQofIbyoq x82qUD+q5IXeexqc3VgjwG9VAZmnCvQfidbj0bIjljwn32Ki60jrGtlM1Dcf UPEuG8CbCq3cm1+W48ov8s7XHrbhp505UnMVDNzkKqNT6UrEpcGGyZBvvWjz MO7Z6yQ6GmhmpPs79mFa+PXTxkG9KOHpea2MuxW/GBY0LdKGcSo8N3wfVyHS vu7/SPYdQgfCgNzjpkLo7xWq2HSrG7vPJPuXsSqAd69Si9gvImpWtdSfGw7C KBnbtWlvH+L6r1FnMgwpeI5no+HNG89hPT67/ye2Ewtfdblz7a7BCo3PqtHz Hfg31FepY30HanQNl6Z8bMDnvo+5wt704JDnKarlyzyws3HeXXigC2ciDCTX uhNhc5vh2m29ZKx7fmS0dakR2C4L3mf3+EGAn5d0otxjPLSXa4f7+zqw+Q0N vF+oyK/9o9zfqAwCJ30rvzS0o5jUddnRoEqkNNFHAjbRMLXuO3eZWCsWz2w0 yH0WjZJP5VhnOPz3yuKB1X59BCtNoWfPfRh45JybKe8yFVYeeiVwuCYHz/+1 qwsyqgeBLYEqM4Q6uLsyx0F1MRt3LQT7UJXJ4BWiXm3TRcfdLGqv2K0yWGFU +uPiFhbKRw6stBypwZeZubzjEk1YmaU7d+kIC5e9L2+kLubCSu3T9Y+zWvGd xuUGRRUqzD61yLkY1Iyhui/emebSYCF63Yo/XWngnWnCVbyvHGhX5zLze8kw I/UlfTyyCrPCHTflvaQAoefEgxVXmKhMSf97ryAbpOVxUP8DHV3ojL5iUiO6 nlg8NJZWhvkNfBcPDLfg0IF0l9D8GjAn/ZjewtnLpL3vPkVM0+FPwbK5mUAZ Km2W4yY/o8Ddm5WPJdxq4XOXxK2+SwngtuNyRmUsHey836300iVgyy0B9t40 EpD4o79OSnB89NyrsqBuS7A2ZFhftSLjwIjv/ne5JKyfvXOKcjYct6z9iNpd LVj0X9wjn1wiGDRUS7lqk/FjlnrdlkNMKD3j7OnB7YsGhH2edFkCmJ6rsJRK IQHv6Xp2+SUaDoi9Lai7+h6T1goqUZLL8GsUDKYf+g/38d/fXk/ORLudhHt8 zT2orh5qZvuzAV8t/Ccu/5yOT0/uKFNXZ+P4Xfi2dY6Af058+2d9tx+9U1Zu s6e2Y24p9eMe7h4kJXUGnU8bwCv/jrybnyKj13ezlT/lR3Am/Ziw6agr/jYr kiMaDqD0TfeA3dUV8Ousl5O2ZwduS3NW13xWCENnq+a6d1ehisDQ89g1pRia d1l2ihINkaTVFc6XWRht4PfyWYYvBppanxPi+IPx4ILAb0My/sQ6taSAFowq V7B5f7kLN/9zSdxpm4OrV37U1GL0oG9nUtb0Qg2cLXJhEP+1456PTX/aOFz+ Y+VmmcXttajTdWDFiFwFHCM5N+JIAfQ9MYJ/nPvgyTKU+6TYAA/cbDLdL7Cw 7z1ZZktzLESt3RmnqdmGJuva09gfiWhsoFifONSM/SdSK6Ql2OgWVyxSK58N jg8M41etYiNPhNxQVyYZvCnBRzeIkjDPtF2QHEOBqZ90q5+Pn0DZkyiaq0k+ 7Jt3eP58CxE2PVYgrSXWo/KKxZJXukSgTHqxjqqz0PCZY99/8cFgnEPcatpJ x4f0nuntsyT8tG7/zrjXhViaYRXUzvE8o+m0c+4W9UA++eLKpe8MTJR5/z3t AR103tvu7lUqxSiBnvzF42Q4ohyi33ylGkzGtQMj68IgPfnV8QlBGnj6Xs64 wrn/HbH5LI1SAuT6da6xpLcgn37/yEFiNGrYFdpFOZKRC7YV/b5LQVk7U8r+ kkA02eu8VegfCzOsRrkMvxEhWOxgTEQYGf2op//caGbAz+xHO1+wPbFlatU6 gnozhG64vs5LgwTBmqvtDtzJwAOuAmuuPKFDbsyud1+LqGj8zTA4bKIO/jqc 8nhmzcQD/34VB90oRv5Ah7S2f/XYxauc4XyVjhnur5zWXciFnPp49YhZJt5D VTPCaRpccz1zJ3W6Di9XGjeenKTD6KcLcq1ahbD3a/vNNWZNOEb6/ru96S1u f7i6YcfzLBTebJ7xnn8IBQeVxe2VS/EWzN7cRezA8CDLgiQjGs5NMrzqD5Iw yPbQkZt8vRguo7LxWzQVZWvrp/pm+tDQXWpE16IHMwYYpNysdlQi1/nssx1G swFa1+Kncsy+e3RYlncYQ/uFzHR6c8D/wOKrgMAevH2vLYyfUAnrWFNWp9Ip SCI3vnox7w3vwuxW6pHjcK/Dzan5USJq39Z4PQcJcEb64O61mzrxq7KwTJdU OR54OqrFyGajfg3TKHqqFavMjvwayiDgpMXOeO20HrxfcMknvjANhmfzYya+ dqHkLEpu4fhCjFLsE+YxGrqFXbC45o9Qe3Tr6ZfzobjpWneHscYDMDEZLttx qxYaPdVlN+eTkTQQfHSvZyXwH5S2WpnbjvJ5nn3M48U4ztDd1ThFx8e//7s1 wvFVMVv5zT/kOV5RdcRYbHsnZpmMcBUONYC4RiGt4nILxiomrzr+lwpKjMGI wMFSZIs/V0lXbAYXsetBGb+q4O6qHQYjlCR8J7k4LaVHhqm7PKyPHA4JqNOq K2muAn1rxlr7WhZeXds8ZJFajto7dI3iqwkYP3BB1uMXEzV6Tf/d2vYSAjUZ q244teHqHe2mZxbJsEc71PmtHxETLu+/lKlHB58KT4PRlgjQY1znFZ+uhomo wqrNT0lwdeWy2DdKKccHS5YE7KhQUtaz+rs+A68FnljYa1UKzoSHe6JnOb2y KlgmcO7H9L7P/tPG1Ti3SictdkULsqu3M1YPlEPjWtf338qZmB/Jl/BgLx06 /SpkJN5WoYvZ533R36lg+yLEjVxWAeJCNO4nh7OBzrXq9VM+OgT2Js+ecGtE 2T5jrl3rKHAR5Ik76UzU3Bpb/CEqAdL/e3srciUVn76R6fhRRcCVhhrXywLT cKBtHc03qQWfT+z1ceTs8dh6wScbRam4391kMUySCf+0bzYGF71APi4dFYED JBAjsidaCwhwd8+KG1lv8jHGcWLJrmwEI+123DvEn4cy/g91Hx/vwvMXwvR9 x4j4gs1/v5zT95VBDk93dXbhQmOca14ACYsdM9PMwvrRI7az6yqH2/Flhv27 jk58KNhRKa41hKe380hGKTZh3E7qyJvuYby3l+/uGqUqaF/r/V/chhZswQDL FUavYdfYmjGwy8M/CoM8faw65OneWpxyPhEK44Qy9c53YBrxxoEnS6+R29Ra eeZVJ2Zb0lrrTzEw0vK9jGQHFVfGXNT91dyN0cetCwwveeIHz7vdbeI9WLL0 wkspoAmcyuy1Azn7mef3rhcCiZD/suGSGCUfayn9iVVy2TB4cHB79tpK8E+o 2rXLsglHhwdXjfHUwYVsqcGLsW1YWQ03ZoxisPhKmOCzVSy8dYKrN8WOhtmF MeyftyvRZv09Vsd7NgqbPFR5s1wBzoKzwvJxnJ1gbjCfPU6FycWIlck19Xhh w9tofQMS1B3zabN+nA/13N1XU3IiwCZyQTuknATZqTJ7VmwjYeMD3dTsXU1g GrPmNgq1Yr6Y5pDe61QOB8Yy5lMoqM/3SbC0g4Y996fXMUaeoNjnz8ITuzhO kvx4/Y8ZAnRE/TiqF87xO783t3a9oYNe7Y+PYluS8MuyaO+X+wjjNja7D0U0 Q+2HNbnHryXjlzd7sqLVadBbbCKjeZOKBwsiEste1oE97yGN9ddb8OGHLila aSHq+L2opW9H9Gi+bH8sk44JnjLWJ7e8hnWvVKXZtiycOGK3/eU8Bd6GGJVT F5sxct2O1D+f6GCwTt/v51Q6DP1ObExTqIL9CmWjdjupkE6xW5d9uwLZxqmf BTh+4ilvvPeKDgO1klUauM1Kwfqs8s/BHDp2r70lVoW16PbG+Gr0TBm21Gs9 M3NlooqyU8JBzWqQ7r9ON1zDwL3mwjvs5BkwCzxZXs9LcdCwinE3lgoboyW8 4q/WwslRy6y08Ax8YbKzNsq4H+fbnhcV2lXhga6SUXErFqbMzNgn72ahxQXd W0qzBLwdE3m9O7sPx081z9h8YqJCzGV6BaUXs7Xzb9IS+7D5lfCchhETm8bZ jpd5RnBqVdqKzBfp+N0iNTSuaxDFHx2988G7FG4d4fqsqtOFawT8HP2vlIO/ JNxSzW3GiVMjD89pJmPuydOGGbcuwpY60cENpTSU4fcuOJ4TDoaei/TC8U7c GqYQf8+uEbUcGJfnHNvxPHXr242P2agmQnX+7FaNIzLCq47P96B3fcq1tYul cK2zM3PQrBPF+G06nkwToT3xHVXbioiB/wgz5FX14NShc2jLbCJU6eirv/ZJ xQ3/dl7dMFIPEussDYLn6ZhmP6FofKUArDKVvi8HtGOl35emvnd1mK8cNFq9 mYI/Df9YUF+1IZf94/4vZA84EB0hachmo4brH/0rB4hQTDi+FOtOw8H3ah+Z DCp82PNv166wZOQW0fAT2VgNhfUGxmnbmuDA8xae0gelOHLIqipjmAQr2fr8 +RpMDCgYEN90Jw/SmwtFPNRbMPRAWn3Ht0Y0Or5S0jOiFq/khvmlnGpFl67D BqmPysBjQG2IO5mFibe1v8uq0CBiSMwpcaAOrULKB3a1UoGtOU6+Lp8Pcxdw VYZ5PgTm97gfHqFAoc/ej9vk65FxIfuMUSIZ+HI/O26WbkHpEwHH1K8nwlXN 5R3VCTRsfnqRT+45AWcv2Jg8jc5DaU8lNviwUDyNJntQpRHUmBHRbfM01NEf KiW6M0DR5cPB3v25GE09Z+r5kwQHxuxdR0cbYcDqkEHXcUvoZxHPNvfR4URf vrCVMgk/5PBN3lkmwOx+3v+yt7dg1zovzdyR5zgo3JJhFknEpw77AzxcKKid GpyO+/3AcNXRGou2FlydNlZv6UWGwaY6/RAtIi7c8zkVvIEJRprvP9ENnoDw sJCde2sD0PdOjfAYUuCOmuSQJj8Tmx91dG+nvMebPnZ7n3+v5PhdeUj35THU ImrdiM3MQLnlN59OGffhn+ZNZvtrarAt1Hp30SgTuY8GH5kSbkOp//5u/sMi YOct57Krgv0osUwMBc4uk/cL7PDf34tfpiqzZ6z68duVQ7Qfuhyf8mjXFJYd wcse4fLNqxORP//hhcTTg/goKW9y90AZrHKPUXK52ok+p5kdRZz83tt6PiZ2 vB5Nzmw4fMouE2e9ZBI/Tz6Ao1tXbmhx5/SclXxwT/49sKjSPf2TpwsfBvLh OXkCNusmHUkSb8MDh+7XEo91Yj7DMtXIshz5A8K8q3/3oCnYDAn2V8Djxq11 rgVsbH86ZsK1mwSFL3761Ew2Y7vpo0HJpzUQvPdNQHFDOgTIPC/YEZSDQ4FL wzxaDeB9pOPhFo4vDpVcrjU2yAJnHclHKbLtyPN+Qnie2oS966JZ+d4kfKBu vCo+vx0V1524N+EUC6vu7nOjR7ExfC88W1AlgV1C5FXLQQrqnT5YSLlLBaLf s5D88lC8m5pwMZRSDlfdW7KPGyDoRwoyH56txOIgrwZ5RxJwtywLX+Tk85W1 kIruxnRIx8ppVXsmTpBEP9WeIODnrBwuzc+VSFwfdP7n11bskzYcChCsgorw geYTxS24f8PNzSOtNIgUsU720arGACuVFbKLFIhdXtheH1UKiw9YX/IY6SA7 1Hqq0JUKFau1Db9ENeFv5TlvoRwS9C4XrErj+Baj3JHHTy8QjpTy3V32oyK8 VR532EpCfpPVCzy/XuMysZWWxWRhnPjP7GgjhDbnyKNpjVRcsSdi979iBgg5 PrlT7ZKG3KpuBcWJRGgaDT2i8w05/u33V7zzCeY+HbZ8M0CHqme9H4OjyBha 37pkegxBcfaYF2mOie0ZLrkeH1/jMF0EfmwkYD/XIQ1WOhWdevd8urQlHgYu HLwSmtqCPdcmHXfkUOCwswL3lkuI/5WpN91nMmDFfgFnGfWX8P4lK2TXOwJW THpLXjz3Dm2ix8vXBuUihfU33aJ6GG9/2HPF2a0APz0Ukd3FuafpIeI/Wu+R cdX9D5EmgWSsMCj5oVDVjYbEkjgFPzKOLrPlJG368VjFznitgS7kcqpoWzHB Rt8Rg4akpiEEev7E5Mk6fK6+cdOquGGUeULbaUJOg93MzJcObb2odjz8/gGt KuCif1V4x9kzpW0b5W5nJUIynLXIzchAb7bFho7HTXhRIcZ4zfdEGKvVsN15 ko3ZXP+djvTORSuh7qZ9Fzrxit2JuascvvJ3ktFfOUnGzKuLGboyPViZ86zM SDYITLa0OK+t7sY1pSLFKfsRtp+2ff1JlonGxFt0sTkCXCFeElf5nI4P/ktr SeNPhYbeEbGxd1UgD+n+yykEFPi90vRXQg2s9bW5emlbO36UKH828CMNGf/p vx74ycToF0Nn9/ymI+G0yYUxm1L8KqFuGcffico3XBdixGrgrffqR2N3WvF5 K3tP4WsqWOWdetQsUIMi4j4X76oS4cIvB4/IolKQGzTN0Wk/gblChbEzvGQo GtGxX9VAxn0T7F/P4uuBWR3z9LhwK9bPhFfHvs1BuzdbTKyOkPGgQ8A1W1EG J480W2OGNTTYaxh6rGxH+2MO7jf2kaA/onlHykYKKmo4OquQ6EBIuviy++Yj pP2nJ/3arRFeMIsD8pMJ0DByTdhBJQvpWzfLF/HQYOPblndxyTS88t9J9ulz 1VAddtfsN8c7Bxo/9L4ULUe5jAGtM98bsEpE4upSGgP5vmpvaV7Khbem8ut5 3nPutaHhF5lPVDAyp663L2xAyUltnYizdLC26xUVbckH5Tk/9dgHZfDeU+6L 2AIVck0IQRGfq7FC4L5cTzgVbh0yWtE4x0CiUUuP2oo8WIq00+Wj0DDcxFwt WboRA89EbzlbV4gyppK/fi0wsect86oiow5osos/lHnoKH/MroP4mgH2Mbfd ujvyMGTy1/QjJwro28SIOo43wBqLydfnaRwPLdt8oljiPXrRU9rKm0owAI1K zuuOosLl15O6K7Oxi0sn51lrN/682p15vrEZI1qsGKs5nrz+ZMVowBEOdyiN LNwyJ+LAEuFjcUw/mu37fnPpIhsVR9rbo9Q5uRtX31qpN4iiY1qP7n8mYs4Y 0wE2jWB0UpT55Xw/WM+CyovF/Sg/LXiPca8SZo+I9S15tOHBGxE2ZjW5YHpe sMjpTRne3E30/5dRgTOXd5tbPosF99IXAT7fW1H05IM/L4qj8RJ/tqP67060 zlyszTxIxdoV208Ishl4/hjhXArHh0cP6yc3rUjF/Wdkqtpje7DrNavH63A9 lDrNBcTca0N+7o8i/qIkOCPZfk9AuBK3pYfxROmUgqOcohPcLIXYO2zhs5XV 2BQ6c+luQT2onY7zSdRvxdpI3oVHN3zh9I/TmgmPWnHiHo6nZpBxY83NprQ1 DahPTLGy8GTjnfs1xd/WF0Ga2OpVsoc68HX9bLfcZQr4riwuXzAloBb/MrOm nwz2fkaXNk+ngGBwCfG5fga4/7vbKdBFhI/VH5aS7jSjGO+tOndbApT3/hdj XcTC8muFD4brPVDTILl/qJKGKf/4HuX6UvC34KfijxGZGPZZhDnJ047U4ooZ 7UtN4Mc/texFoCO9rNKjq5kOV7T1KIuLuchzm+fFGj4S3A3tdq1MrAPC7kU/ Qb/rWCGxfGTsGA1utLiseinJ6WNnRmpUfjMIRNlVChNaUOSd5Jj92jT084jO dBcg4YH6yVDvZiqyRyZteQruA/XeQ4fuTyxM6yft05cnw58Vp59eEifhbUWD tpkoBnx2zJBjvAuGH2aKRIWFenifOb5y2pUM/h6sH5sG87FenTctXoEOAQe9 9gRQaRjo+9bJ7U41rFZY2XZxkIEvJW65JQ2Xo6dQj4l6eQ2KHph0+qvJwDOP BOZv85RC9vyqYjULJqarI011Ex2yE3Yn3ntYjSF2Y6bvOb6udjSxhSpWDmuE jBf1/6vHITlhEQvrt6i1x5b03TETVSnBvjY8g6h+K/tP/J8yzB39MZco1I79 NPu3CRIMJIVxqVS/IOLxsw6B5+p7Udr9sIbXejqK1/79b1N0H66a/nh249Fe jM/w8HtX1Iq+Zpfdn5cNo47jaZ1Ah2L03KZI7U4bwrLwJ2vWxhaAqRl7xqS0 G+02ONsEilZC6pPJ2dBXJHxRYKsQJO6Fb41CT75pCkWhZN7FpCoytqoS+FOj Y8H3gGhOpk8n/uVRdEgcrcJ9X+x0X+5h47i0ksSBJ+14KufpSuPjTWi+eDDI s7MHLVpWGIXezoFW34bpCusuLGGbv07SIwKOt8XddaXga/kf35zzmsDMzooh FGYF3LzDmY2Vvmhkf6myP7oOAn3vf75wjYp/b371GdtdDqctCoSvNLfjyK9t zVXyFbjthPx8/jMaHktiuRcVsFBQjqrY9S8OCxwmU86KdKL34eOHdbybIfFx YeDt3wzcwm8kasVNg3nCDV35Q/m4Cpe8eC42wMXaxJO5/bXQlN/i1ns3E00l iuxDgQzaXsnUfc50POx2fevtx+Vw7+KR/M96LFxyX1NlG12N1ril/JVKMxa8 s6BoTrdgwZ0AZuStbMBv/OWlb1qRzaiXvfSFAuOlQv9NZyGO1lt+dOqjgZmu hTP9bQrIWf26sdumAj5PPByODCPDsR76Oj2rStRXvDXzpJcCxZsDjO22MLFk l//R4KN5cJce039fkYGB65IeUlMbMDSYl0joLMcLI2E3zue34MGNYXKq96oh kan/OqqFgTMDVJ1Czh41Kof3zGuXY4zzSdvqbxQ4v5slffVMDRS0etdJ5aRA 8a9esf+86RDnoLt0+xnirgaZn3FcZEicOsB9UqAFSy9pqF13vQ9e55b+RbWR kWffQYstB0i4WqCIxrs9Bn3n6c4jzBbUu2L0xn8fEdxudDWZNZHx1raZn/aq TLCvTz2iKPkYZ056LOQUEiA4VCDcaycJLFbz3cc3NLzTpk+86PEep1WbGb5H y7Hr306fK4/+Q9e9Hu2Lbpn4a1fJ66V1vThpfyVuSqgBDz0RgkJuBs71xl1Q YnTgkjj3BU0Od12pTvutdLMfw3f2Zp/b1Y4SnfYK7BM9uIPPtveDzQDee3i8 WjmJgifzqFdvKozg2GRH0aEtAbhh/xaZ6EcD2H1D+I6YbQU4+CkzrIXYWG/j cvsIoQhke20YvaercVsIZci6qAgPer+YMwuMhNVnPRKbW1owv9C0U4XlhLTf Aks1G7qQ7dFGyCkh4YYgFbez/Cw0tYn7FCTbhSbXDo86CuSja0HOi5u9PXiK d/PEvoM10GflDnp+Hdg4YOytAiRYN495wffr8Hz6yfpeTj/Ttih7n5fOh4GQ 78P7oQz1/zTvzDrVAJLmAuprf7eg75xzoJp+EogeWSFlfqcNZcqXhfadJ+Kn MbGiQ4IEzNn3YF5zqgMLnYSorp0Z4DR1+/NjGTbee0DhWbpOhpXd3+oOZZHQ TGfPejaDAqFyFkXRxwKB77iRlnV6IWyV3KC4NEiAV+Z7Lqzj/C6ZHa1bayOI cJn88WUeHwtvJ92OYE5HwchhR/HkPQxUMdlNW+NKwv3nCHuNzpXgr09fntJS 29Cp8anKlUt1IPMy/iLTkIn7Hq0W22tDB83txqGmjmVYbXly17nXZOiv+7Ux 8WgVFJM2fDYdfAYqBpY552apIHxPWESEl4hbor4fDZUiwrXWZ0G+xBYsCU98 5mfwGI+EMa5uHCajmJ3Y762rKHgif2JvQFgEMufebipcZOGw4tcZlwAiHBwt 621eJuOpnRVRsRQGHKsvd3s0Fozrnxq/m9BGkI9PiujvIEJYi3xa7lwaRq89 JEZOp4PV3iC+qTNUdInwt+hf1QAvDldQ3UKZSFloGNv6pQCP6xjdKVnfiNJv dfic+OmoGn89hVGWBVdO+Suc4ni4lrj/tCqHw7Tk/ss6ydeAijtHEl22MaDi kJdI+LM8qNndLzF5sBn9HR2knIbf4vpjgTJ0oWwc/qXzc+T6EP5L/mThYliC l9Ss31yRZ6OjRgRhromKxO13ftGcSehTu8yd19KDAg96PJUlqTg7H8sKE+jH U0tsltL6HpRYe1P2l14Hemxbli88PYwaOh5L/+2uxMbhhtEouWH0MxrwEA/I hv9RcB7uVL9vHI/oi5YRIpKERCVESj1UVqKSUQiJohSpjDIiMjOy9957b/cZ zrQ5yMxKSHYh6+f3D5zr8zznfd/v1+s65/qk8sXEJRBo8Jbb57+Q6TI0x6SP 1btDgIBI+lTMeU/0fGPngQFn9O55cY+KFbEQRZRWix+KRLPfkJHpUjuMt4r+ OfejCARUNeqIze2w9/pJLy7jZsj2U4qb1cTC6YJbpAB/GqTE8ceJVsShjs8S noq8XSCmUhByzx+D1oKkGHlpRLj8M7w6kBGDWKj+wfRvQ+AtxwLS5fNF1XsW A5f+ViLtfv1jWHY8WPbcO8h0uhzVa8vRSiNaYZjLN3IqJBcabGtxBQZkYM37 zSw/SQEB1ndEuR/pUKhRu3pNsAMkn5wwil6oQYcDxVuEm6iQ+ndQon+egAxa IkVfHC2B6P6vXoacgNK9bFf7FstQA8fGlXOVYaBx+5+wlTIeiZ0OSrhUvHsv 4nn5rxsrkF5FYkhlVxO0R7vxOmoUQ2m/xVfqFSxc2h+t3RlDAXo1HrOizkj0 ocuc73poCyy8uNMwm45HnhdIbhGMOHjzBpu7aUVCDc7czs7/fULbnnPmY2xV SPPPiPbxCzh0+c9AqSpPIWj1Z7x/Hbibo4sNbsXbJPCs/lA2G1WM9s7OkpMv UGA6+eyS5mIFpGz6Jk29r4SRAn0WXtyuR/GWPQ+NLkZVnzX3y65R4DbXXfXC RSK6Rf1W/ftwJWjcyHuqjojob7zS9xb7EiR2gkEuuyML/dBaXZsfJCKDkpsu A49qQSshz+rm40YUKxP2riWDAvKn99UOz8QhtanSydNPCKA66WczJoWBnoER 9Y21FLjSNvRfkjsVzOL/yccpNCDt76dMrd0IMDEUTtxhoSAZbuZ7H0oTwaHp sAZvDg6ZP/525Z8IBv386ZghCbnA+1wJ8TIMgWJ826SgfhY0CbTWLAd2grhD xXXzXS/4t7930rCtEfiCL17c59EJdc3j9W7yODC9/qcSH9wLLSzb36oiO+C2 pHvaX95O6HYUOp/F0Q+fvTuVjn1sAOfprtdyPwYggY9TW46vHE3jMq1CgAoZ JrLZTD9SUN3Wdoi+RS7IO0dz3Q+sggXByS7Wrkg0I1vb+WGoFequPbLjH02E RZXB+xFlHbBppxwmmkuC91nuYmIviSB9VLvLILoLWF0t/KLInlDrVViYKUOD WgO2suMTdcjLV/OGs3ETaK84ye7NxKL/Dkv61TzPh8uN/1LDtbKQwv51JXXD UnT2zaaCyKE6UKfqVL6yrUaTnE7iR41a4OMELoLzjR8cqu92jHjQBOtH9ngp DRFATT1Ita+xHGIsmdmOdbZDUZmY/cJ8CVoufV50aL4F/vDUBEfxEJD7cgxV /3ctBMSOyWam41CJl+y9E+eykKXBcYEwFIpKOl4yv/iCQxb/cdH9F4IFWZsf AQmL9eig2KaTK2MzZIk67iddjwGhue1JhkMEKJOpSy98RISNV3xRLCahYPvP Mn5JbPeeHtw/sOaOQQ55y4eZ6YhwdG8APnGYhFx3ZttyuRPg5/iduz8uY9Al tSyfE7H16PZGgV+FXgQw6R4oO3WDiML3mJ4YXWsE3d84+YW8GtTL1/bfbWcq zGQd1KJI5IBnkCl94REMlJjLVhurk+D1vr8XvabjkOpQhGKYTxMku/89lJvS iBY0HrK3/ocB0ZWugX42MlJ+/iet9kYS4ouwzCObVCAeWgCi62lE7QZd3H2o BBh/WuIN3hOR9cSE0FE6MrAdNWLb2J03nEYnzmGWBBbOX7SeRVVCkfkdTlb+ UlAzEpi0v0yBc2sG5KT/ypF1UlXUmjYZLpiwPP5vg4RiHEYC7cnFIBbEZlw9 R0AS3vOJ8sKV6GxHMmdJXCo8crgaM5XbC+fO25q9yi0DNX6yXPmPJniu0JH/ ypcKw1WnnnYexALgyj4nuPRA/Oz0wRxNCtyrKtp5uNgNe9wMfl7S7QF7fpJv xQ4FtG7Ms+3fGIB3Y7H5OtNpkN6ycmBjuw9eNv3a2vpTiII8d6zEgjoB48vg 7IgrQUNFkc0jKwAZGi62pe0R0D+SdGUoRAdUmtz6H/MSgf4lmTfvaCBKeaIU zNDbAZXUsKhu9t38MISlMtNa4Ymx6g1j9XZ46KBQWNNWCe3YIIa2FRrcy3uM ebtQiC5w9mjyhnTAjSt1kl1dWJS39nD27TYWrvXySh1orUEFxXyPvviEITJf kyWPQwwkGfdxqeTsft+nmmOfvSdBDdve4xdu5qN2tQqGg5Gt0PAyQN81oAr6 pfkRPr4RtLgbEq8ptcAKo99AWaQ8oE01Fc6xdvhl88BZuxODtK+7NlStEkHG 6JvKyAABnVlfiTqLkmDjLsepkLOV6Mj4q9/W9+tQDu1F9lmPAhg9Y+jfsYpD tbXmXpemyVDDIMqL689FJ/zb5rBOVGDNuaVcVFgLhU/dVtPLqkH7avneRKZm YDU9SL2rVoRq7h3KoI03gbrcf3HB6wSUcNbEtOW/WpCTNcz0YCIi7RLzi36D megBrW7w/o885NWD995KakS0vZNYU6Zq0Oc4Gyr/HY9MhyICS1YoYNvHfEqt IB7hIsU5Ty4QQc9H5b9xZgzsi9O0e0WfB8fL2h6a6zdB2B4e4Xs8tWg4ku26 zyMS3Ds5Ia2kT0Z0d4PqCgtyIOW7iluBKR6lv6k42NVUi+jH0tqFOF3QEGtP 84EWEpJacjRoq8OCTm0Kq5g1FrU9PsvbIEKFPFeFM8doAeAXaKzI8R8OWqrd Mi7SN0K7h9q3S3sfobA8J91HNCq0vhl4QGTCI6dl5mkSEQurnA/7Q05Q0Nus X6o+Su5I6MipkZiVOtQew+LIMI1HHIG6NvuWU8FB8mWGRXE3GJ6hj5572QoS qd2q61QM8JSa2bEr9sJwV6ED3WwzSGjOKBEXCSAncGs9XGIQ9mgfad+bX4Is HvN1OVW2g8uWgvvkVhb4NmvTi5R7ozf341zU0iiQ1vpb/HGOKWJ8W8nOyN4J vftcz1RbY4F3uDLM4XEhCF/QikudpkEn2tSxuYJD2MfiEbs7Dc6dzl7235MP r4hGcnP6tQhvSAxJP0+FXqn+mhz2ZLT8jkUqltYCnBxPSyd4MeC7Q28pq4oF D5PIkdT7bRDs1JV+nC8BxWr2bKJH7aCQR7JRO01ASY25xTYNRuB68ECly9ci JEsqKJhQxaDewbPFzjMVoPAknSrHiEMZFbgTC/FU8OstSWgWj0E899tN426X wCa9ub7i3RaofaTWf1OAhFLC5q7P9ZWCD/vf9C+4WOTacqb8Vi0BnZBNu/sp mwrHnk18ncrQB50uLL71WDTkU3WVFGd3/Zkx3o8JT0ZPpK9Usc2EQ5r9gUal xUjwmEc1DQQSYuGswV4gU0BuoOn+9O8MYA7hZ5l5moSyzLK4nllRQf0f0+9Q VzLawxLuG3IiDdFWzI6Nns+EfT48Wd8ODIAguUMWdv3rVjYt6/s8DhxWl9xE b9KAw89+Zg41AtPXq4F4hV5gdUq8kvCuCyjPrzM4qO32VtGhj2n7BmDa1SLg VnEFHM6VYL5hNgBVT12eswvv9vWHfofkHCKwUQqOU+gxcOchx2v2gij0nvh4 NCqxHf7t0VCoYckH6v7T7H/ZO4BJLk9L80oTvGDM9U5OwAFvN+lDniENlqwk nqxyY9Dez2KSgjskUA43bX/yGYN0EnkbdPxjAcvFkuPxMxxZjWq9bNyoQGln e1fsB7HA8+DTpLtdBTIbPV+ga9EKhTXU5YArGRB4RzKu5EEuuBw8aDXO2wFP vHApbO0EJNUPT5+ElYGGlrN2vJIXMEXf/Yc5j0dVeNdI011PWdV8oViM8uHA wdNZpOt+yP6V9Dq2qwUUfEVG/eJJaI//tbmkOWmokr7P/Ge39yalLaTsuwiI N6nE7pkuCYwSQqUHNkvRAiEgQSSOAqlejUML3mXgMnt77Ux9NbDVfmnyuESB GlCzKDtVgG7dlbM+ZU+FvUgzlPsNEal2GwpkmVfDsjZj+t5WIlKLFPzCPlOI xlk73yqv5KP9LGys8W+J6M4BlK//YJf/Zj7wNjSmIp0XepIp3zMhhSwtYqZC Bc/hsGyRYTIqPD26NtmXBikOZ3RZjmTC3BbjKPPZLvDSyVud+N4BOaM/d37U YyFPr1BXJ7IXgmQX7sz+aYesMJvNrFAMCMS65rykHwSL/ZfLcgfKkFwqp3EG bzM8kxl2NOGqgMpTo12f3kWgrsvFhma7XCOXEKnW818UHLISN9bv64DhE442 JbZEqAg/HXoslQTzQtKCdGpd8OAaFwwnhQHsCxdOtKTB46aOPo5JLDLAuBQx Py4GvZrYkmaLasj0MO3pF6xB/xJZnwUPNUNSoIvZjqcV1BBKWKf/NIFKIC+f RmMjDDJwkIOeV4HOlPIYd1Y7sBSmXdTGNCK2neNNzPcbQHCSlT1TBY8+1kmQ GcxS0bvZw08ZduKQ5dhK4Fs5HHI7zRZEfo6BzrNPbQ/ZALqdVSUzMNYEb10r 3M8cD4JjqushIygBbIRTA+xPtkK33kT2zR4SerLDJTfPmAb/XPVDqZ4+4L5A fiGgRkRs7C+532Tszru6jk4AfzqIEiSTGWS+IvZPF7vLME1wIZW34D8DMgql vi7FU8LRC0mtk38rqpBga2bZdfFGZC5vlK9cXgi5+x/nJw0QUfvhIGz+CxJ0 Weg7XD5chsaGA7Y/PCfDkTqC3Rwqh+JzLdaEl+Wg8nPj7ACeDF9XczNXA0uQ yGQCZfk7GQZvp+zfH0JCzZet11nEy0D/zk1z6QgiiqYtX5bNKEPYfc7nHaZT YceFdNzC4BucFMY8+3CHAieIy9ViGliIjHRtGBPsAXWye+QBUTIM04wvtd7s gYR/JVftqd3wLLqE13eXfz/8XcU+6h+AvMRbzEc+lKL4535/vG5hwe+p2Tef mUYAR4/Tg0e+Ir7absms/A74VZl0q8GuCg77BzY0+dbAxRSbzDc/aSByd/vA wQgs0vlB+PPnEh46PR/bhH4KBl5GqeCZszWoZ73rtt8bIrxwJD1feluEhl57 yfuXtUKAuten+sFycLtn03z+3meg5vlf4Nhph3BaCwfdKgF9rj++1HspHfRH ex5IfMwG+WtBZyeE8GiKybvSU5oMRwUDDworFyErife/0S8q5BIcQuqEq2F1 1TgyYKMWvHKrHyy7N0FW5CDPmm8u2m/yrvCkVTMknP+u5etEQNHEylSdR/VQ HqKznmpPRGetjXvdJFPRpoe/oeZSEVKeMtDL4G9EV+8cextZUwHljJUhS7s+ 180jf4H/KwVeGsKLI5xpqKiHY7z0ZRFMel/p1Gdqgh/PYtYSj5DRdem+wPep hWDgZ1InshOC5sSFtxnzSOjHJS6t0ZNUsA2176SdsAaiwWbHjPZH2MPev9jR Q4U//Z/Lv0tRUJI/yHKr6MNx+lSDPMF0EJgyn7/9kgYqRjSFX0HtsJ/le7MC Oxa4l7MwhR69u5yhqepr0QY1KvFx44p4GN91yGiRQRiUm3Dq2ilFU8f3M/+i toLglgaauFQMh2sEZs3FviKBVe9eDqZOsAxS/bC2iIe0uPIr/pg04PA4ys1T TQM76+rzclI4ZG/5koglVkBj6IXA9Y1SOMd2NvTYwVrEyfIj44pFE+CM7sgy PLBHIux3jyUsZcPlxbZf+kMtoNxHtHwWRULa3WNsInP5oAPZ+5ps3JBqBudk gOD/3wvgPnyUQoWa9H3f3wyEw6zsWyFB3RcgozpBmfjXBK1Zd/vsSslIcfL+ ad37a9cWphSapefSoblNcIzeloQ6Cdzcdbt7Wo/M/uyPdREQXDlOJf3KQcFq f61tSBSQFlGxfFFIQoG6kscmfhWgJ93u8SFC6VAhuvIhubwPvkcLTbdMEaHq p/S51g0spOp5/ujq7AHPZ7Z7PTJp4OGiX7W+3QI5pr/Fsz8OQN3JOuuiwDIk JdCgUv0HDzxmmkdSnXFg+yyU5Osaga7cXVI+daUDXoi+aRR7WApxZxgORi0C bIgW2XWV0KDun5BdyxlLJHE+0zC8qwoNuB6dfbI7D9+8uJyKHIuAn32v8y/b JDjPqKteerwDjqfrxqzvIaIsO2WbpzKFsPjWWY21KwFOzLuJlN3Coy/DbM8+ RDXBGfu6vPTFUvjrU3CVJpWMcpjK94ru8v1i/9a1KFESep0X+7xdMRRVaMkz Hdsohq7Ji7dx8gR0IPU+tScmFZ3/+1WxUZqEDm0Q+AbHKJDVSrthd+4r+jU+ us+PNQ4GdyfPMZ8KUhn7vE+cpiDHUWOT0rRwaNuX6ttyfJdDZHzNmFtx4NT+ 7fUVt17wFrtzp+ZSJ0gJWCeFDdcCf8LR+TLMAAznaHgJXytHL+meYV88oYCK 6DN5DpZamPlS2R+TGYWw5a8XT3p3QJi6BR/L6K5H5PUO6+lj0RWl1wp6glmw /kKo8F9Ow24vn9H0i6xC/BfG77SRWoBtduYqzTESXEOXnupxl4J63ZaI5nI7 lD+cGCOZE1A1j5SJ6Mdq+GuoqXAI54FyYqse5HbhECXPt+wWZzNIuzMdJH5M gcESnedFWx+Bs+GumZ7ALlcXtQzP9JKQNXNDhIBQGPC89W3vlEoCHuKro8tn iSjE92BcgxIV7DUIZuQLhaBoS1n+gU1FLErwPu5aE9TWLv6KqSShmynvCs1D 0tG/leA8P2wR0Hm93RuaQoH9/ta9W7pk1MfaM/axqgDafxWnS31OhcjOF8cl t3pAzeVymSWxCU7eS31mMo6B4MNna0aaeyA/PTT/mQcVRsvdCy6kkSFZ+lhs KscgJI38rkz50wE7C5jTR+rqgXaw5fogRznY7a0Hn3UaFF9YaWjZi0Or5ZIQ iN3lwIQjfq8UU6A7W5vHn7EWPXH4fU/gaSvE9ZZGtMrVQt2dkvOq7p7oTGSC zOO6dkiLX9HYV0JAN69JqNIiI+CwOSmjrq4YlrDtek9qcejzUa0vvU2Z6EJY TR8nBwEdjlCR+X6TChm+5zlt9oeimvaJ1NBjmUCZSi7WjGwC9mErHyM/MlJ1 xvM4FqSD9QsugY0/L+Bf2eTN0QES6ihKJo9xU+Gx9rOSHM1o8Omxkhz390Zm U3QPP+GoUKzbbhuwTUYLU+8vFOV+RecZBN3rE2pQf3JR1WJJI/qarTSsrE2B 6y4XOLJaxiG+adbDUqscFBWt7XWtR2B8geunV1QqYLjod1hceuBmzUEVOe1K aHXGHSrmowLNriNaua4ZPIfGbdfaMMAmRZr/ud0D++gOKX2xbgIa7XLS7K1u GGN97lJ0rRdOqdzZ+Za465HmSjp1Jwah5abZK23OGHgrxvskyLgPRm9v27gn FCMQKnwV+LkDUhnX3jZdKkYuvD5OZNdaOLw8nmJ9MxVUOPxuNGI+ING59S/f TpHh/fmWIxUFH9HH5qlJWcZOkDm7NdVeCvC+8r2fo24LNDZ0Wbfyd4AmM9gx spTCqnIEr90qDWov8KEti1J0uuEaVw+pHQi/5r5qCeDQ87Sz/f2RABXubq+T /lSinUZKpSM+GU3ZX9cwPpUBJ1oP8XFerEVL95RO3DpJAe+rZiYhehkI4WTP HpBtBXqx+g+E0/WwrvFaOQqPg5UVI5s2l1YoyxWiPNsIQTPTwTHKse2w8F1O 5OcBHNr8eLThBz8Bik5yXa70JqA7T+4a4+gD4WKflYKnViliOvE6ufVfA+It yeThSCkFHZt/GpXuOOQ01/pxepMCS7O0q9/upSIP977zhwIoMCv9ZoL8B6Bx v/nFmsByqB9Dw2NdzTBU3Mv9x60MuRi5XJPZ7VNB46NC9BVE5N5YWczTXwGS 76JeHBEioNsWDO/qdnn98RFp+SN70pD8nVtc0YYEZD9e49e8XgeDDzf/je/u h2wkQ2l7QwWuz5KxHjqfkQ7K/VCaRwCZrt9eP4ax4JlSNqh8OxVYVxkcTzc0 QcRcR1N7TwMqE+H0WlogwGLdJyHeTDIiOfLofG1Jht/jv8QmurBoqdjfZOU1 oPKwm2lD1M8QRb29Ibqbd1dLsxAtHTzcTE1iNK0DZBmu18lHRwV5oXyz1eQk WC0V6r+ih4HoXew5Y0eAWzF08gsvQ9Ed7mrc1RwqaHabnptxbEQZwT/+ZPcB sEumC53vI6OViklCxJsYJCIsLafGj4Vfvh+rmQzHoFB4dKT4exaEhgaZOY8M gPjNE3se7c0FOurO0y+uHaAnKCZAksVDaSTXbYYsPARu2owqBHfBx6KikhRN PKgdtLjA96IX2I3Q94CiTjDJ/nVX83AHeK9v2XLn9EPjqJPUyHQ1tF+T3BOb NADttMOe+nuSUEGMqN2j392Q8/zpsN6NcnTNd9SFwZgMguwFfy8Zx6C8jfPq 7KFpwPjiRabGVB0YJTZxUH5FodsHYv2Cz7QDXYD4UrlhJrS/2HfqjUkHeE1X DPYTKMCnGCIzc6URZhz+3f7OQYPTzp+Wxx2ckZDbD7/3pC7otdJyjfjVgCaq +O++e0kB1s9Y71JWLBI57XnV5mIa9E8w63SnJyHL41fdj0WVI5rCtViaBgaq E8o7Xw1UIk6ZnBrGA7sc1bNPulAlERzv6ck8FaKC/8glQekyEtBm9fFSbMVw 1f94lMG+DsAfe3ydEFaBmkTMkzszmuHXzo315lACsjGvuMCXUwmbPQyFjU+x KHNke/zf8SI0EdL2rCbCGD1JvRA2toVDlwQXc9454qEvJvJDKVMt8jojI0o6 0gwaMktejr4ZcOX7w4+37fGgPIKXFhghQahUdKbCoiyEbByb0NvfCoRtRrai dSw6GRwue1yvEWpTasyZKSS0hu1laXvkCx0WwoJPVutQfWDZuR/mGHREaaSo fiUVlEpfJrpyENF+/WNyic+JcBKMs04NV6Cw1le2Z/ZTIVznzYSlfTH0zp65 O/ehDtZ5xgpWHcmQMyzAFV2UiVjYuy2CNqiQpz40VYohIM3cYCUxhTpQSn+k IGtJQjy3blzgcM1Gn+8vaI8eL0Hx6xKlh/sJyO6g+iyjfgU8jesf2MkloO28 rTbiIBm0D74Xnr+dg9yXLShKs0RIXZs6vP9rLdwtvauj/zsfbl/hO0H3kwIG 9qiPUaYaaT9FqkwXSeCxs7aFgsmozkyz2WB/Lri427tYJjUifn4uo6H7tShe cST5z38EEOV90WMoPA5b7rINFsJF8MvIjV319TC4HPPR9iWkQ/2+g+wZK13Q /iZgr+n1Bmh+V/uW6EWENfNPPMa7eX+5zbOnXgULvWnDfzFBuz1wykw6XLwd KPNx9ctGXXDvZ0H42/N9sPTCfEEO4aB3nWXCl28QMPE5Eh6Wb1E1zn6Rj9oL FnvvShiYlqGFfMG+dUoL8KTQqmOfZKMJ46Sgt89K4MaJSm9HplJ4aNFwKHFv GJr69JEzq7AZ3v/Xb/ik/wt8dpcxa/rXATVyNGzBWCPECFYrE3ko0G700Pu/ 3k4YLXH0fN+WBGIMvvmJCTQoUtSf9RysRlhPF2OZhhYIJmJNXfhxqC7O4P1i QxmwNRW2LeOLEGvi/MkvdEUoOWYFi9tXAes//C4kkWpQDGetsqdwM6ixnbPR o/NAA5/qwmbTm4Hv2c5jfQM8GK8sZP/KrQXxZZuY+8/agf/wxN6auVx0mvpK 7aZhG2xxUXjlrzYiT92rKz0pGDjIfuvUu3U8ajOqe/boVQySCQxUDXFOQ0tf u67fq8CiCZMT5Cd99fD8TcWoQiAGXf7WHc4V3wSWpZn66zpmwCtFoClPEsHt ko2exe4eQGpXNUR/poPDoQtPK3ZagFFu6ZxvXx0aYDbc/P//JUv6RRziK0go 6NvQ6Lx8Dkz8J3CCWxGH9vn701PZqlGSc977CN6LSMvjUIW/HBERSgOzuQZx wN8ZMlR2EtCXfRYq43gqOCS9OmXmEQ+nXX4ZpKjh4PKT6fRSXwL4KW492Plm h4qsFn5+/t0EN1x46YpWcWjCdqEoXg8HzjyzHAExZPRB97woq+1HRL/2mf+o by36MVLsvIbwiEv8t2JqYjYoayW+y0IkpFepjLGIJgKXckX/KEslygrrXUpZ IsOToQCdb4olYN1rrXtdqQq4KA/uBh4jAx8ymS2gFKA3zfVsKY4UiFTtfVa+ SkTB85l9r7gqATd7qthZi4TCOjWJZ22Kkb7Ujpy8yi6v24vvGX49CjfY7g6O h6VB/l61aJJ0H4g/utbFnVMMIuOOMv16rbBhVv5ppJkEQu7rRx8VY6GogPVN ekI3wN/pmS8tRMg254mJTu4BcaKtbQhXN6TRzoVH0LdAIqHb5FjGADxvaFNi SikEWcWcB6i0H/p/F3Bzb+Qgfw21lYKuLjju6ZKwcbEMjTyfvs26ggNiy0z+ ffLLXa4idqWD/y4ncDuVPNvtpSe4NluecFR/Vnr/9vMOEPAuE8dcKQcWTJ5X PGqHh11Wvs6qrdB+brhO5nc9XHDOs4yj0kDfz86w8H4Gko6QWD/2oRPyxdv1 4i9iEUtHplNzfSNs7rnsbbFZjzBGxXEf3smAinfc4Y5lW9AQbGj/ZF6NbuZw nNQ4SoCYzqhgu6AS1CnBnlBR3wqi6KERv2sJaBjO/ka797CvOq3H710TSF7i 9smqiIJPEWZ+61wdwMopOyR2oAF9lh2ctpaiQLX/05zTDESkzTOd3/AuF3wN ThWut9eiWy2/4j1Nq9AgQ3YhSKdCIVeJ/fANPFLL7eBnlSfBhH+5nc2RUkTd OoWlN22CDvX6mk/T5XChavNiEKYBzPT5+KcIVOgqGPWi8aejd8sTquJrzWDz ItAnjtCI7COzhVZ4MbAHf42VZ5aIatLbmF2cY1CS0XzP4GYpKq5Z/7X+GI+6 YqZuLpNK4YZcjPKBhUY0rslY82KLDLKbB/m3Puagr8Qj4lLaZFA22or8faAW tmPrr6lalQLzop2WUzAVKras+J+Nl6NZg0cXWpbJ0Fu1ztGRS0LnxGtYnEdK IOn0mY8y/AREoapsi5RUIL6HMrEvNRPRuAzT2k0rEpJUvasxdQjgeo60SPh5 PHp87+axvL1UeKvp+yPqlCdyOU8xYtjbCLksEk4VS1hgvJBX9jM+DJxHRKYv NlJhVj8mVuc3BsX412uFruFB39Rwb6g0BYVxDxjGiQZAyOU7l4zmMahtgGkQ O4VFQbW+F26dJMHSlXjML5dxOJE3d972Swl4XvbmXsj5Dm5W3TOFmmnQPc86 4iPXDddZ7kefStq1U8pY3aQCGaoIJtTm120QVt+ufaIfAwaD1eYexr1w0qG9 Saa3BTxMDm9tP6bBuyy+vH3K38B5gj3nwXwj8M30NMycHYQDOTxq5/d4gp+Z XxVDwjeQF7vt2SRfivxqGr9GyrfD7Tf5R/q1C1Ca7XV1nr4KOBAWRmfrlgd2 /QFa3j8CkJR30RWFXU9csyZ3Z2yagoqzWUUueyfQabwxmDfGgRi/6feAO03w ZSbokyBzJzSfu8q/aJoLfy6myMsP0KB9OYpPq6kCiVRJZtVVtQH+vbJkN8Kh apPZcn3xGjDY2hdG9SlDR19HftFTyEbNV6vmg4OKQCrMtbtBqxbxVJ9jUdjN 3beNaofD/rHoKHcxZvZLC6wviFp002Eh/uO4oYMRBp4JmdRlk9pgm/Z5JCUl Bf3Qaf2aJNUOTj9GX97f3YOueKZE6d848PXhsboxtpu7/vNFRfyO6GacCxZH yEcbaxEynRUYdEZK7mRxXxUQ3xGdgvOwqCD0522JRSpcm2aZDPL5iqBNpdpR hwwmXDWWohI4eOm6HjJztwi+aN56G7r7XBkSiaXH2qsQt9KPYm03Cny0Ep8J uk9Cd+VCxUL/K4HHEXWCLO14NGCQpi6aU4YyUgI1yLphKGD0QzHjNAFZRoke 1cNj4PZvt5PX72HRWoh7zXodFZ668589K+cBr1X/6pHZGmHqSoFIAQUPS6tz L3k3gkFW3xGr/G/XJ3cufZpXxSLJxmcWNPlG6CrjcZkjkNGhHzvT5o/8YXAj uq6TBChoiQVfF4lFrZOlDsKvE8F2xcJ0K4+EokQG3m0eIYD1vWmJ2eBaJD35 0Ho8mgIZtpeMD+TnQIj5IYljUXWw6F0xLD5KhKeK4z+8TNOQzOk3jf9kqEA+ 6fQ6vYuAsmZKqGcia8FFxuY6Vp6MXv9oYLgul4VOQjRfe3IDqK/O9x2eGYU3 58+FrmlngKti3oG6gH5IurLXsJtSAFw2Vjked9rB1rdW8ebb3efJCC/rCMDB PfnxgbFsGtCzhFvo7vJJrGyV10eeXqgxlfTome6CWSaW4P3xbcAkHbJy5tIA aKpViGpSyiDZ1aQiWW4AFtyirvh2pKPx33k8j37SgG+PM/OTjTLkWeySw5RB gM2xS+5M697oNc8t+UpSDPQMSXoaLWLghlC8/yGBKCS5cqw0drgd1hkl9RU0 iqD/7LuVg9/b4U3Spce8XM3w4Qc925cULARvPVIw+0iD733nsjN2feTNVOWo 8vkucLNomi62wSAsO9c9bQESyDzeWLsuusshQb7idH9CgcEigMGw8wvSdFPF b9RUIptXI+W8xN1zdzgEcriWI29nMWGZgFaoei4Wpn4lB+yC5hn8gsmwrfPS zzSHAlI6xpJa1zPh/S1FKdcTHUA+tr8g2qkGyfCer+2lb4JHG0kqqrs5K7ns VphXWQIppjkS5z4DKqZFel15VYZS2N2Z2yS/wjR/mYOXEh6NiX8u8nhHgBRv TfGum5UohID2pXxvAo1Hhpw7SUXQ1sv5PtAFCxJcBewUawq48qSe+X06HNkz CzPtT2+BsubZV15OePTvU0ZlljoOhkTrh2867s5DsbPE3hvOSMvts8PrlCok /IHvUDEdDrFLOFV5fs8Hu9AwBolkAmoamHBf6SYBH+fLM+nSJUjy7l+1Kk0K xGjaL27scv7loDGLqgNV8NInrXxfMgXIoao4hvUihGVo+KPCQwX3jqWep11E dIDrNul6RiWMB/3JCzYnIkz56+jm3mJ07cJrcwO+HBT0mrnZuZGIzv/cfpvU WQMyjqUlvr6NKIcodfJnGAXumoQcTgpPRFMBJNLlrwTo2fFI/DUC4DBN8CmT TgOhqVUpxbdUWDIcMU4uqUcNb0fKMaUEsFKnMCvRUZCkmeLXUN5keKxNfx5+ 4NCaMBNzKhFQXYuKhrdMHnTqiU0rnh0C7rRszWq6LHh8skf6fkUncGb6y5Xw YEHalXPw92Yj6J4Sfrn8sBP6znjuUzqKA8ac0lK70F5wxCawadt0QFF3ReZB xU6YNx5Cspt9cL1GT95aDGDUjEHr4u8B2HR/b7dwqBydYX+3as/VBGLZnv8O 5aQi4ZBJTRPLPOh+7sg+PV8JF492f3rlE4l+xrpwuqW2gqRnYoTS93hwUBTc G93QAdadt5XnjEjwh3BnybaWCL+Vdu6RvbrAZ5bD8v13XxDqv3XE+DoNEq3u 5HWE1iEm7u373alN4JCj9kSvCos6f3QkmUEBRFQ8DLpqnI1cT7rtDaAvRbzB B6oOWNQCx8W5Y5+SqpFSQjWD7LUWeLDM9KXhiRckpVgW33RvgirLs49JkQSQ sX4ccMSmAly6F35ak9shhAuPsX5agppPE2628bbCenApbyQDAbWi0BFP7zq4 cObJS9M2HEpjvdVwaTsDeVlnEqNKwpGzJrXliRMO7fzbaXuvhoV9bhgpNp0G VKGq9i16uwkkCt85u4ZFwpWT/v6OygSwWeD6mipEhAkpAR1n7ggQ9XnoRxBr heqozCBrdQwivX0V++wKEXIvvzy4PERCuUtXvzvfSoIHXy775DlgkHxVle/Z E/UoTcRre6xjd+4XXjVNKxPRZMCDPdqYxl0OHsxWkapFLNUZX0x9qDBwa/1J 63QWlMR9YKzT3eWs7O8Ha3lJ8B+JeevZtRiUqhXqcCuqCRL0Ncfe2DeiMxwp EVUaGHj6ZnEuWpiMdl5Nl/3tj0eKuj+4b6xWIMdHM9EteY0ooVh1+l1mMQxD icXRMCKyeEpl1x8iwegBdrv9l0rQwGbt3ccHyWC8XWz3YW8lfGZ8dvdOSSlg OX+miR2nQOn7l46Dz8tQU4/iAt6BDM8OmfDOj5LQNXrZITazEuDj+DWkwLs7 V4pNfHLeFWhujd2+MycVJPtcFoJ6eyHplYAb/d0yCGOa91QVawae8VsjCZep QEebz7E6tpv7gT+tPc964Li62oN4egoIOyuNrOzrAbzuvacbUj1AClrJltaj gs7RFvqU5QHYk/vo0SuODKAcnP8edaQfSj4n1zW8KUSBbWnEydJO0KW6d/ot lyCWzreMB7UwIMl00JEtKQxWqpeDvePNwbSr/tlKKwEeBCY4XqwMQjt3A94U tHRAjsNNmW9WNaDgFOc8vK8NVCOX3OnP/P/3Rp7PH1yr4LbAjInqEg0i3A9a N08VoMTY58vZeR2QTUcJzCVgUclFUo2OJg7YmJQ2V87XopFaBXHxW19Rq4nD 16HVSAi0r49SDqxBr+f54rZ3eTytdSvdVroAPRD8kaiU1ArH6MbujI9UQv2a WbnVcCPsPfOBrMrWAiMH3k+jdEtwOpWWKTLTDjqcnM9Op2DQA25vc4fdz/mv NVKCZYKA1MJo2zwuyXDDvdVdpbISxTZa9BydqUW216qyAq7nw7yMXakJAx5t 99D5m9WToSG6IOkdSz7KtFATJv//fZQvDyOTQ7VwfUXma6RqDSh6VcapTTVB 3jAHJvheIeIpWRou29cMl0BZZ6qfgJwh9vX9hFpwCit/YSJMRKFWGZMepRnI zaR0f71oAVrANwPGvREddbaTOm9fBb/S97Nr0jUic/ebio1DFJAV0p+LPZ2E CI5vzViOkSBVro/Y7wNwSV+lj/tyPthGhjHuV26Cf/sbVRd9a9D+LY6HnwJJ wMOfULFfjYyOa2yJsf7OBSd1aZOpcPxuzo9Mn1KsRRe6+tcZZj4hKSUk60Yk Iau9ybGfP2KhhrFy6GkyFo0E1Hj7iFLhQUr04QVTbyjDEvItr+Og5mzMTUcq HjBqQ+lhOGXg+Mx91rqHCoOPmMni7ThUpbKhpcWEg6WzB5kTRSjoKP8rNqqt I/qP4W+Mz+d6JPxqQ3G7FI+M51+Ff+9PBfqnlYyc/d2QSD5x+ix3K/x+Oc2y SsZALUaLzUmmF15vadk9TmiGfwKDqaOqRHh14dfjc+KDoM4ib/P+fQlCiVbK Z0fb4aak0E5adyZkXSrnxg94Id23rj4TDyjQ7zbooKf+Ak3bY0aTWTtBKa14 Yx8fFuJyaZw/DYsAK36d7eVvGohfT9gzJodDpvtN503H6mDCmD/wX1IuaBQS 7/zRrUWr20gVs0EB/RyfSkeRFCRE0OwRmmmB44EbU8kxABbzdtJWYViobRG6 NnmmDZ4fCP47WRqLTs3ykYKet4MqcPV8vEpArCJHp6eLXsO5tcNl708UI7qy kaqTghg0gH/xp/NGBUx9YDn+7gQO4YqPey27USHKpypUqjgOHbjsJ1y5UgKn ltscw+Rb4D3duhHjARKSbTXv9H5bBv0ny06vXUpAnLyHjh3NISDF7H0P+5Oo 4JfDLGy2cBdxvuVil2yPBfraXprmjyaQ1z7PgAUyUrj94vHJrCjYsy1BpNmE Q6vBh8MMzSS0onAzOrabAlWd+JaqvHT4c+q/m9NCCSg0a3FPsiMVSojMigKh ZNS6dGLzJjYFCX5DB2fcMuEfRfWQyS5fznTkO7bca4QT0QcEaOx48Gu7nycm SIOZnN+3Iw80Asu9uEfqqr3wSk+iwlOrCzZnDIeKbNtB4E5Wi+Cf/t05y9YR 1K3c3XORErE2u7yKyqKZz5cj/6L0R8l0JOgaiHil8BRAoffJRabmKGQ0NPvR 1Lcdei8kmVSP5sLYHvYBZaEOyI3Cfni36y1GkWuZ9Es4aNYt4TLRosHHubv7 FZYA3XnJfo5LnQwn+KMLuNIwaPvHfvbRownA3yd8BnsxCr1vVOG5XVWBih4H blp9wQKT5SlvE6hABrVc+rO6rRBUpIWf+ZkGE9FEM4byPPj4xI79J3cH7Axf 6ekhEFCBg+DCsFQ5BDB5O7+T/wicivdfL4jikZn+yYy4vc0gNq30O20qF8xf 5t03GPNEDxUtdI6NtsAxbc+bx7JISI3Xv932ylPoYS3u753PgrvlkrGKYwT0 2aLB3un0rsCwfpce+FqGsjbEH+mVUWDyTa7rxq9SOFK6qhSmUQPMCe9aZjko QP9gq+X4UB66UNK3tvaVClxGFl/O3yOi7RaC0+BqNVyn277BOE9Eh/I8rkWl FSAir6GygXwh2sM1YUzTJyL2GCn8qBIFvKYcyCTOdDRTJUv/mDsbvit77Uhe pIJVqn/rx3Yy0r7PM/ruaAbYjt5m36RmgF8+X3STThcM0RzuZFZ0QErexRcz u14g3Or5SD6yF04932S0bmmH47V0d+anMMBg7HYjjGkQ3hh8MiMTy9DwYjhI vG4Gp/7XCpJO5RBx1PDSNlME8r+N//OguAXSfG14LwpHAGTmp4uMdgAdE4// B0EiGKYIS8jPk+Ap3ebUU6ku2NvPaz95MRJezR1RfPaWBuytKi+vLWMRdtak uP9ACfi5C4ZJ1lTBwTASZlu1BpkZTZ5hrm2GPVl1Ek5bKiCjKS61xtsMIe8q oMO5ESbthfYFslfDv32T9+Tj2sHnJoa/K7MRCQCX/qlfDfCb8mTZ2hqPuhNn Cv+IpaBfzJmat6wSkePN5gA/ARwKNgpNCBfAgGjdgfKLFEDS/j/LFXubAPMp 4F05xRceXHO0y/iQBHZW3g2N/K3w5ItiaUcHCT2/WCrHczMdzHaElz6//wSx 00HlXSpEpB7/vNCygAqSBf88vL+lAtscTsR7XxBiaijnmWtqgj/+euPyVmR0 5SjX+2HOUDQQF8s4oF6NitddM49v45ER38lNglsB7Mu4dCB4kYioDN2uhTdI 8HPk932pXT9Xrb5Tm+RNhmTHHu3JzDKIEJfg5N5TAdcOD0isppJhRrA8NHiu GClsPboevYcCYdN8KpfekpB6mE4hHa4MIpmzuLTqiWhD7dG/zL1l6MAHgh07 YxrMaTsJLHt9g8QjciURdBRQbaksM36EhccJFA525l2+kaWf7vxOgnlR/hLL Bz0gIHk/mTmzG/o3TMMuFzSBSITipbn2Aei3JekapZWicN6wlfOJWIjUzU+t i2+E/AczO8zYr2j5vPtcenIHHIjTU3rfXAlRF2ZXuuRq4SfB1Ro/RgObdqqS gycW5REeXzrljYcoYSuvJc4ACBU21yllrkEmD4wnSs4TIePmycmaiSJkpOId 0FfVCj/MePoMJcuhOYa4yVftD1NGvYorDB2AMNd1P2wQkK225NUFhwywFgxq Mr+WBQci7lo9kMAjPgd+Q8e9ZBCLvb7d3FuEAo9lXOtjaIKBe9pO5u5V8D7m 4h1x/zq4t95gecS4CfhEt6nCN3NQs9me1QHvZnAowmbd1icgaVWrMw0L9dB+ bfXqYhAR5Z73iLlPn4L+2/BQXQ0qRvO/73w8+w+P/uZe5RUUrgD+uJMNqh8b 0RdxcneiPQVCXeUrDjxOR4olMn7B/xVD7sLd/CtLVLCv+Po1mI6MaOTJk6o2 RWC7c0OBPzcM8TYcuDaXREL0M/uvbh6nwsfMIHPTp+rwz/VbV/AdLyD2PCnd 100Fu8onfzdlKEhRj7dHn2YD5/cnykkspsGJ5IXPaeE0uHNLfq+QRTukmq6q /tiLhSixoYQfzr2g2iz82pBztz8n3a5NReCh+oxBBr3YIMwECGn/GihFLNd/ hF040Qb3+Xfo7BKLIOFO2JrohxAkErkYari/E+yXl5bdk/Hw8ERRvzN7BlSu XpL7jaHBEQvwYdrt9z3360n33laCVhlmjVezFGIWJxivC9SigcFGP627TaDo 29jf+uQjenZ/4p7TrVwoEXzBm9rWAlszvZbvA0io8/GNbCmxQpA9bL1aXO2J kmaVUuSPEpGkwFA4hkwFNSKbkJpWKDzWsx0R8HQEpGeXtX+rCfSu3wqzrSaj 0y3SFKkKC9C/Q1rzKU6Dt6fxjBKuJGR/XH7klBYFFHAjp+sTC0FclLawkpCN NMpfePl+p8Dx48pW1i0kpEzkDkyPzEe3HvS6VzxMBxGKhUTTSB+ob5zr8Ign wjjmJKWBCwemZ4U+Hh/rAacA9mF6Dxp83uT+9UG7FST6PXXF3wzAkupK4IOs MpSZQZz5rdEIB3lpFeNncSD9WFOhZjwC2cc6mPwU64D8zxeGrGtKQJVzSO71 ridMRauf78imgeKbyxRcwTtkdkvIVDexCnX/+z7UXtAK5Gli/c+oQjiqGF/y vSUZIpMuKouf6AC2yKcO7NsE9KrhtcqEfBFoX9n6sKwRB4cfqWvM3sIjuWun vjNkNwEXC6WqSq0U6n1o/0QaE1HfUvX3u/otILBXND1MnoQC+PmP/+kKRu+9 H5y6bVoMzicXTpnfJSBi9RsBhZk0NFnNp1ohQEJOrnaF4bv80rTyu3XmexjK DCbveeOXAGyfGA/9SaWC6aM7rDonKeiBv9Rxa7EoyMkRtBBf64QX3ZpbXzNw 0LuK9Uv07IXorFT3iF1ubEi/e+fR5zp400858ok6AEwMY/4Bl8qRrIOBulcN BWw1GstGntfAEHHg0Bu3KKTjcV9AK7QDeBg3fhwII0O8H3a1zRqLOBtO2kvZ ZYOpVsjjfwwNkObtZWLdUYUMnqgb5RS0gBBeQcB8Igyej2OePcCXwvdvGRHd v9ohz+Du4Xv3CcjIXPsjJ18NuCq863Ku8EYPXNL4o/A4ZJ6RQTjG0Qw9XvSC KaeTYXPx771e689wHPNVskioFZIuJ7TsGSAh27ifzzcSI+C6O59T41g82FSt kHAyROR7Btc3fY8KmRfzpfIX8wEXa9DCbZuCwqsCG/HaTdAhlvSxr42EfrMX hjSjNETJuv/E8GExfO6ME/nlSwHy4hu5XEUy6u73OqW4UAgycxzcZZ9Toa6q 7+rI6V7Yi4IOLdg3gaNn8Zmzsxho5U0MQjU9cK206jadDBV8uGpq1TbI0Kuo v3bt0CB82PKX2Z7rgBj+kJHDbPVgXB03PIkrhwzJo5Zi6zTQiMjuO7aORdE5 jGrrrFjQLbh0znA7CZ5Hs4n3LdaggeCmL2JvW+GktQ/9py81oHbsntqtZ65o z8p5n3hiO1w9pFkwVE9AMcXHe/4cjobgc0/UXhwvBpNgwQDGZhxyuVc363gk G1moMytJrzUi9FEUGyK1uxczTG4YVYajtaR3oS/1siDsBzcG49MELcYJC/vd yGguyoBkO58B7cwCQ7QMdWjYd7hqtI+E3n/6YGTATwWz4s0c6/AIoCk2iVl+ 9UDBh+K5XuzuDW41rPpnJgrKVg/rVTwTjIYEZueUZWtRYMPPbTqPRrTI8tQ8 szQVvo93xX8W7wEe6wHGNKsWoMdS8Q4UDCwW5WL5j/WCwecsiiNDMwxUP+r8 t0yE4dVCr1mRQcihf3iS50AnVDVcHW5+jwFHxsivVSXF4D70u89+mQbN2KnJ 7LM49HZA5Kvl1QbIVhRwlBnLAoKiZP3HW7Wozupo07MAKqCpSam+D45ohOmg 9qXYJEil9/LaQ2uCBI0bn2rLyUhx9VbQ/MkEGPkmsOfxi2AIlmjBhnaTkMi2 Hqv5bwokr+/F2Z5OBUsersP+TVHoDqt/cXEoFdo1QljDq8go58oJw5/biWhF 6lWuvUEvNDC1p3TtdEKv8bo/99VyVHmj80VjIQkMfwYuaIs2wJFTnxJdfkeh gpv/7byQbgWdbtenrjdSYKD/VVe0dSE4n2G8rMjaAfe+elqlFhDQ46mwQjab Csiz/LcyVGsJnm9ehf87gkcZHNZRAYeaof7LrQ4v+Wxo2bnxKUD6LfonKxv7 dq0FQkpf3rStIaGw+p/bryddQU31QqHXmww48lkybXCTgBZIfws0S8gozYxf xDE0C6ziGidtn3SAWfVYce7rXS+svSv/M6wXhl1rt22d22Hmh+iFwVAsjD3o snPhGATXLfFC3chd3j1TdW6AvwXuaBb9WUNl8Akzd26EKxzVM2/3H53vAA+H YpKtBwFStE+Vv2HBoTUfrkwzi1KYPWJi8fRxJaQuS3K1BNQg0Y/+qZ/qmkAm a+qdsLYraA39vS4plQpdjoY126ytYNIT+YN71/tZdd7p5kIm4D79zE9ptYO7 lS0fpJWIiP+Be/qlWioUEByuWWomw3WaCo7xqiey4XXr2RpugiAd37lznmR0 C+d8VeC+P+pz2tq8p5IGIZ+P6y0PfgP57webkp6SofvV+wJRLyyoRKQxCITW QQzPH+PGXhrIi2yJYetb4XbA6UdavaXQdcfVhawaCvGbHqmshzuA5cnwag4d ERkKdpun/c0CAbd3XbnV6bDq1006cxmPJNli4y/uRKPjy6+XHnqTEN0i/9V8 Dioc7c4/eSzMDj3/kndWVzUIvGSNGAJaqXB1TydFSZaCZjWyZ5wPecAf1rGb utFpUB/z9pvLJA1os6M7Fw+3g7yB6eTPXxi4LMynKWrTC3ZNT99XvGuF576B 0+w3GoFBPoDhucQg6Iqq6p7b7QU9joAC3T14aDF8c9epKgtKIgK7jrTRYGXv qL73VRwKYP6jVtNWBbwTeEzeXDHIXG8z/0+hFuUbZDiMrebDOOWIen9RC+BH bZIHXpPQ2mcyC7a1CA5Y9AmoVwYiqX9MZtH0RHR0YvT2YuPu+Vo0TiVbBsA+ I+cuKz5vcP83dnV+ly9KvIdd2XBkZOErdIzd/CPc+WBQKyubAnnvhN0DIkkI 0XXwUbrL0N+u5CxYawTFyu6OySAsPJxe7lAKjUTrx2YfMa5jgFTzpPBsBA2S G81S1hJbIYZP/ynPdB5wmyoqH/FJg2gGC/XXgh1Q163l7vGHgEKDUtMYnYoh IL8rdvJqJCQatlmrqOHR25qymVRiE6wwCNHF/CmGV9bjel8qKXDrb4a94rUY 9Kp+KSOpPhmyS+mPMwdS4fer6C0cBwXdNfA4PSUZDxbnsiQtvvSC2N4cBg5M B7DaMBqGiZajMOX49hhLKsjnEdvXJapBx/bcTSHOKISJqFUQ5C2HOabw0woD 7ZA2uZIbTw1GYW+Mx+yTcCg8hyH34v5m0DepacUsxoG6vg9nakYwpPrXiG+f boWvLxqdDIdJ6PLlQtUHMbFQpDX8RXogCi4PTJ00QkQ0qUbiu2BDhTm1tgcn bHIhaEqKMPc1EQUx/vxfg/X/D/UdwAGcUJGlEuts0XAmWTVLmehdoyRftr4Y ozazFLJCNcajYhmX+XZCXE101zVfQpyvl153nPvyuXbcYUpXa4qM0mPpnLC2 +wNer99er8eTKUiUIy6wx2yaycZvlxnpnqmDOLDq0LPj9yiYJ9UeidYX4pjp a++llTKktnL6X+mrkX0+WVb7pxJzZYvjI2/zIfDOWfBwTQt+2GyZd3e6HwUW wTTrv4Rk52i9/HidENttt1m1aa/g98gGZ1dRO+kauBFfka2A8NFYkGpLG94a uSsoVTeJoHE++9ygDM9dMnzthHVIfRka6jneSWpDju9NNqEQaFE3Mrb4MnHS VE+NyqoQdGtpijxKDttFqYvORkrJ3M3iqZITlSirLzNu3J9AUtQLtiWqJMTa WOwktafg43tJdMaOiadhEztfu8UTx0NDH4Yode4NhMsFmoysqX4adNg3g7z4 pSLXdSkHlEIx1MEYgDs3bo4tUkCmya86pxBgXGGfy7ncjY1nJGE/faTGSBor WLVCBauNxnknO4R4V/r2/fNLavHeeYOi4JF+aD9WmbzS7clTOZmkyeDjqvXi N/bhtdhmMFb1XTCfGPoN87X1FG6N1q+LMo8D4xmvQ3CkGOWmnC6zV3LQTdet c+yWkr0ttlTbuosIvSuJMUxgQULrKky5IyGuV7MD7GlNpNPjxPP6/WLMBrHj Du8TIKEntsQ7s4TU25UOp59UIDHaucQ4/wYCLLiLreYrYRc7cumL1UpwQtw6 I+53kxDGHtdaTSNmwyE298uC253xrTWbu8hVddI57ZQcCaWH+gKLa3GCyKV9 41IiNXH24rHYsKy5qH+7eBBFPFpdtLUSmdV+2ZWTPDJzQmFvKJLj+3sa07HG ZmQVFj0qu19Mvg3wc9v9Qg7FrGN1unsBvON1bmFcxr97Cr5Z5KDAwtjw9m6d Ox55jY4WSq5h7VamhUdeDt4Zjjl4dLeYMGlON079SuFKzM95thFcNKxN7rrw pJAsHDePC+PJsTOty2uLkg2TF4ytPevvYVlTylzWgzbYNE82lU70Y0WBSKRf p8ChYlXILKMZA5m9nZ0TqUjr2EFdn+lF/bWcJtY/3eTLjnmH2TdsTJ9NSDsr rMJPF7a4RFt1EeMorscHnFySOT2cP9ckIfnXP/Fh0Sk4judTSZokxJ5ZkmxY 8wN86b653EEK55ofOok3yEj5mUbn+FV7SWl/OSevvRe3IwNCP7QVIrHNYkaY OYjHltqU8aYehNr3sF6Md8IstXF1i50aOxmtYjdDFeaHetoPfCbCf0/O0UKd O8mKhtbafbRmfBcuLc+v4kGQQUWenGkn/pvmy1awfgMbTgPP//4dojzHA0fZ ElJsWXQ6r6EG2e0m/s1Rp8mtNI9jf60VE367e/cRneP+cH+WVRpVghAjH71Y 5i44U7w4llYOB1v60YAanY/M3puZX36ETK/2COO3KrDMupuznH4L22d+kfg4 loFhX5hz830lrk2artfofr/vP5+cZ69vguW1pGHJzXJM2Ax5n/LtIl4Z6w1n JmWw0le92qTNJcs33VehqBSNca0yg2YKW2+46L90lpHCigLNKZuL2DgluPfR j4Og6xski8NVoKuM/Hp3NBGLlYJZP1MZni6I7ous5CPZZVvPUkkJeb6y30UT 04DsldG0zbO9un884OlveRdc9cd8vftsrKcOXrGxScTn+fh5iKZAyxOXwad9 ErLAlru2lMsEb3Lym5GTFfCM6LCzdRCT697zTOsLbDTxKiJSlX9gA13jqq/r s9QOqakHAjy4ozcx5y/F5Aa905mr1Nix33+udE6J6nmRx9mjd8DdtZLRe5iH 3plCs691/hcHmy6seKeTuAUllyxKECDrYeKsjg4IrBBX0d/lk7DooU8bC6Xk 0bG/C7SxHLj/2bGvRZiEr956826rJWRNpJ7v9uUU3M2n53cYXYHDwTdja9Kz ie/bGOZ1nXuG/R6/vDSlyy/bFUZzLiIHezq2PzZqJ/LYsPSBYRH5H7UbqVY= "], {{}, {}, {Hue[0.67, 0.6, 0.6], Thickness[0.005], LineBox[CompressedData[" 1:eJwl2gfczfX/xvHbSpK990iySTbZCRnZkiR7z6TQJBVSCdl7j2TvncpKkkTK SFKSFUnR7/n+/x+P3/l93tf1uq7jnHOf+/v9fL93+Tr0bdonUUJCwuB7ExJi 7ZosISFNkoSEUcRndNF7EhKO0I0SJyR0ovfi/enf8UIej/Am8arzNtN/0W11 kiZNSHhVZwJ9G5+D56KfkrEkdOOl5Y2mP6eL6XxDNwY70/vwAfQlvLDHu3hZ z/kJXgafjNfAt2ApkickrMRu8Z+RS2Z+Te41fiG5ifx/rHPlf+XlxhpY/5Sr 43238Rxb9DrR2ehT+BK8qU5PWi2huzmdYTt/jPzv8uPli+Bf4MXpo/if+JP6 Pa0ZdLpg+60DsT/0ivC/jp55rE4580r5snJT5GrKbcX+ptvh9+Cv4x/R/+Lz 8Dz00zJb8c74adqS0ANPj7+L7aVL4N/STfCu9AH8efoyXtTjPby84iq8HD4V r4Vvw+7zOldht/nPyiU3vyH3Or+w3CT+Het8+d94ebGG1htybfW36XQxZ/f5 nMGWYs3ke9GWhJ7+L4PuDv5Y+UvyE+SL4vvwkvQx/Eb8HPR7WTPqPIl3ww+a B+En+Ffi/ViP6Bczv69bwbw6vn/8R2XL60yz1o6foUxK/mqZf/jt5e81D5ef TN+VWyCXj24kdxN7Rme7XFfzWf4yfnM5VkIva0b5nbz35P5gTpTbj5Uyf4fd jPev19uaSb6J99Ed/9L8Av49/6puMes3uo/ixekP9CvSqek1+hPxqjod6Qr6 082P6X/J3yF/v3WN/L/Yc7opzCP03uAXkZ3C/8+6UCc/vzH/L5l2ujvku5l/ 4rMTestlknsfO0A/jB+nm+M96EP4YPoaXsJjHF5Jfy1eEZ+B14nPBUvlCddi d/gd5O4zvyk3nF9Ubio/PsxF8g/wn+TfknlWdye/uzmH93wOW4610OlN+19C H3NmvV38D+Qvy38U3wXwIF6aPoH/FT39PtbMOk3xnvhX5hfxk/zr+sWtR/VL mj/UrWxeF7+D/GqylXRmWh+Pf1MmNX+dzF1+R/mU5pHy0+hE9GK5AnR72V10 D/xnOgXe1/NkwcdhX9KP4N/TLeM7Tx/GX4rjCl7KozJvFq8ubzf9H91J537P +ZbOdDoxvQR/kH5OZjfdEz9P34f308+Kf4hdwSZhh/hlzCf5reT6ek9Z4jPm f20dwv8hfr/jZ239Vqeqz+9herxeFToNvV53El5dpxNdRX+2uZ7+If6n8mms 6+XLxg+P7qyfik5Cv60/Ai+mMwNOgi3VLchvwv9broPOp/xe5l/4KeX6y2eT G499RZfFf6Bbx8+bPoIPjd9DvLTHBPxR/Q34o/gcvD6+B0vk0QVPjb+Dz8ST 0svwh+iO+B66N36Bvh8foJ8dn4BdxSZjh/nlzD/yn5Lr5/VnlevL/8Y6jP9j /P7plLQe06nmM3iEnqhXlU5Lb4zjEl5DpzNdVX+u+Qn9r/ifyae1bpAvhyem u+qnoZPSo/TfxIvrzNJNhi3XLcRvyr8t1ynO9/w+5l/5qeQGyueQm4hdw6Zg X/PLm0/x28R7oo/KvUzfiu+o5/tOroz5I7lq5k1y1eTmyTWQ+xxLJ7cxfubm bnJpzaPlRvJLyM2OwwH/Y/nC/Gb8f2Q6x36B39ec03v7DfsYa6nTh06t97w5 Z/x+8D+Svy4/Vb44fgSvQJ+O14s/rd/fmk2nGd4f/9b8Cn4qvm/6D1uPx/fV PEm3unmz3hR+zdj76My3NtT5QiY9f1N89ubu8unMY+TnyCWnV8gVobvgX9D9 8It0GnyQ58mFT8K+oSviZ+i2+AD6GP4qfTu+x/6dE/EzN0+Wq2HeIldDboFc I7m9WAa5zVgycw+59DF7r+/KvoWVjL2Rzr3YJzoX45iMNbf+K/u4bNfYU+D9 6Vz07/gKvFV8n+m0+i+Yc+t/yp8s/6f8NPkS+FG8En0W/xt/Jt6PNXvsjbDv rK9h/8Sekv+9XnnzFJ2a5q3yNeUWyjWW24fd49ETz4CPxefhKeiVeDG6G76P HoBfotPFPlc/Dz4F+5aujP9Et8Ofp4/jr9P/4hU8puK19LfhtfBFsQfB92MZ vc4tWHJzL7mM5vfk5svdR6+SK063kLuDdZfbzx9ozu0z+QP7BGvtOfvR6fVe NOeN4xB/qvwN+elxLsKP4VXoc/Hzx5/VH2jNodMcH4SfML+Bn45/U7+M9aR+ RfM03drm7XpT+bViP6SzOPYjOgdkMvG3ytxr7i2fyfy+/AK5lPRquRJx/o89 Af08fpnOgL/kefLh07Dv6Efxn+n2+Av09/hw+i5eyWM6/pj+DvwxfEmck/GD WGavYxuWwtxHLrP5A7m3+aVi/yJ/P3+NfEl+S/5dmZ7yB/mDzHl8JlewldhT cd1CZ9QbYs6v9xl/uvxN+RnypfDjeFX6fHwX8efie2HNqdMCH4yfNI/Az/D/ 0y9r/UG/snmGbh3zzjj/82vHHkhnaRxfYp8mk4W/XeY+c1/5LOZx8ovkUtFr 5UrRreL5sV6xN+C/YL7KzyQ31PM9IDcjrrmwmdgJfjXzL/wOci/SP8i9GRcw scf3fD/KVdGZKfe4eVfsGfiPxX5GbFl8l+QP8w7JZY19Zfwueu8p6X56Wel7 6A9138Ef1mlLL9ZPja+L68Pw8daxkYz9Ct5b/xA+WD8vfQ1fhbeJ/ZvYMGsB 3Zlyt+RmyX3Pr26+wO8o/xL9o9xIOhFdXv9U7Jd1ZsnVNe/m15VbHj+zOEfG vtijP54NHx/Xd3gaej1eOvYIsW+gX8Sv01nwl/UfxGfF9Rg2GzvJr2H+ld9J bgh9Su4tOjFdwes5HXsjndly9czpvNdPsRlYnbgmpOvpfWxuqfc1/7B8NutO +Qp4KnqAfvY4vtAT9EfhpXWeoZfqp8U3xDUy/5G4trYmir0W3lf/MP6S/p/Y 6jjXxb5P7xVrQb3ZMrdl5sj8wK9p/o3fWX4ofVrubTpJnL9l5+D1ZffQ9fEV eKt4/bEH9hiI58AnxvURno7eiJeJfQL+NT0Ev0Fnw1/Vfwifg/1I18Iv0l3w YfQZ/B06aVxPeP1ndKvLzpV7wvxZ7M34j8deSP4Ta2v5I3EtKJfduiuOfT6P NPTzejnj2EZ/pDs6PjeddvRy/fT4prhO55fF21gTx74w9gX6R/Ch+vnom/ga vG3s+3RfsxbSnSv3j9xcuVP82ubf+V3lX6bPyo2ik9GV9M/K1dCZJ9fA/Hnc m5BbKfeU3Dext/MYhOfCJ8V+B89Ab8bLxXk09gr0MPwvOgf+un5hfB72LzYP O81/zHyJ303uFfonudH0PXRlr+cnuZo68+UamtPH/Q1sFlY39jg6q6xt4rXF dZJsDutu2Uqy6egXdHPHsZuerDsGL6PzLL1CPyO+Je5D8MvjT1uTxM8QH6h/ FH9ZPz99C18b+4XY0+m+YS2iO1/ujtx8uTP8OuY/+N3lX6XPyY2hk9NV9M/J 1dJZINfIvDeu7eVWyz0t923s2zwG43nwKXFuxjPRW/EKdFvPk1T++dg78F+R +5ufS244v6jcAuwutgA7y3/cfJnfQ26Qfq7Y5/B/tr7LP8u7N65BrD/H99t7 ru05Fuo1pjPE/RB8Nl5PpyvdWH9NHHP1j8Z1g3zOuLaKcxCegX5RP2+cY+ip +u/Gd1pnpW5mbJtuRf4z/GRxL0XnGP9Vndv83HIj+MXkFmI/0XXxK3RP/HX6 PD6WThHnb5lF+JP6++P6HV8bxyr8u9grebyE58OnxXEfz0JvxyvR7byOe+Je SOwd+K/J/cPPI/cmv7jcorjexRZi5/j1zFdjr6bbK/YY1txxTPWe38B/Mb+H /8S/D69qPR+/b3gdz7VYvwmdkT4Q+3O8vk43uon+ujg2xHcj9v/yuax75DOZ h+jmN0/XG8svJ7taJyt/h05l/rP85HGPRP44/3X5f/l55UbyS8gtxn6m6+PX 6N74cPoC/j6dkn5cZgneVP9gXLPh6+P3CT8ReyWPofgD+Iw4LuHZ6J14Fbp9 fMfiHofcCf4bcnf4+eTe4peUW5Io4f9u+izCzhufkLvOv8PrIzvYmieO9z6b Efiv5g/wc/z74/xg/SWOHXhdz7VUv1l8VvSX+Fz8CZ3udDP9Deb2+sdiry+f O65j5bOYh+kWMM/Uey+OEbJrdbLzd+k8yn+OnyLujch/zx8uf5efX+5tfim5 pdgvdAP8T7pvXAfTv+Hj6FR0PZlleHP9Q3HNg2/En8NPxv7H42X8QXwWvg7P Qe/Gq9Id4rslP0TuJH+E3H+R47eLPZr8O9aH5ZfJJOIvlrnAbyh/I/bDvH6x X7PmjXOYz2gkftH8If4zPzVe3XohjmN4fc+1XL8FnZn+Kq5/8AY6PegW+pvM HeL3L/an8nmsn8tnM7+iW9A8W+99fgXZ9To5+Z/qVON35KfkD5X/gf+mfNwM L2AZxS9tXo79SjfCb9L945qS/h0fT6ehn5D5GG+pfzj26vhmvGPc/8Dy+ne+ wLKbX5V7yDxHboNcLnqPXHW6U3zX9IbFfoE/Uu6B+LsFvj6uh2K/pjPa+kjc Z+B9LJvYukT24bhfgDfW/Qv/jz8g9pTWfHG+jftP+CXzBPw8P21cT1t/1a+N N/B8K/RbxXeV/jqu9/CG8buhu8XaKe4dyOXj75XLYX5Np5B5rvxGudz0Z3I1 Yl+An6LfwhPzCuJjPE8Z8wrsIv0kfoseGHtu+g98Ip2ObijzCd5a/0jsufGt eOe4DsTyex37sJzm1+UKm+fJbZLLQ38uV5PuLJdK7xW50/y35QrE3z/wDVj7 2K/pvGsty/uC94lsEutS2dJxXwBvovt3XHPQz8ceGc8fe4a4F8W+bP4I/4Wf Hq9p/U3/MbyR51up/xSdlf4mrj3xRvHz0d0W++e49pJ7gL8/7keY39ApYp4v v1kuL/2FXK3YD+Bn6HfwpLxC+FjPU868ErtEN8Vv04NiX0hfwSfRGejGMqvw NvpHY1+Ib49zcZy/sQJex4G4pjcPlytqXiC3RS4fvVeuNt0lfo/j/C93lj9K 7sH4ewi+Ma41sQF0Yb33zOX5e/mr5JNal8k/EvcN8Gb6/8Q1EP1C7NfxB2Iv Q4/Br5on4xf4GfFa1ov6T3qu1bpPm7/lL+Q3jp7Ojjj3xflS5kH+wbiGNo+Q L2ZeKL9VLj+9T+6x2AfE3oAeHdeEvCL4+56ngnk1dplujv9LD459CH0Nn0Jn omv7d37XbSK7Rq6t+VjsteR2xvkizjFYQbkv47rR/KZccfMiuQ/4FeW2yT/A 3y9/Ja6zsK7WNFiD2A/oncPH6BWkk8ttwjvgA+mi+h+YK/L38dfIJ7Muly8T 9xHwFvp34jqPfjGuUfACsQfCrlunYpljL8S/pNfUc6zVecb8Xey15HbF8TmO 6XF88BiJl8AX49vxAvQB/PHYB8TegH43rll4xfBx+pXMa7GrdEv8Lv1SnCvp P/FpdBa6jtfxh24z2XVy7czHY68lt1uuZxzjsIfiWj/22+a35EqaU3qPS2TH YZXiXE3v0HsQP6h3Na4H8G5xjIzrgtgX6J/Hx+o/RKeQ24x3jD1z/D1L/0Nz Zf5+/jr5e+IYLX8Na6X7HzYkjon8B2MPxL9hnc7PGnsh/mX55rrr5Z+N+x6x 15L7VK5XHFfi2ODxNl4KX4rvxAvSX+L1Yh8QewP6vdgj80rg4/WrxLkEu063 xuMPq0Pje2a8ic/As9F1vY4rWAvZDXLt414FfxH/yfi85PdYe8fvoEwh/ldx PDW/I/+w+X6fyTKdD7HKseegd+k9hB/Suxb7Uby7NR3eKPYF+hfw9/ULxT0Z uS14p9jD0yX1J5gf5R/gb5BPbl0R9wGwp3QTmYfF9R+/YOyF+H9ZZ+pkjz0R /6pMS92N8s/FfY/Yc8l9JtdH7tc4RniMwkvjy/HdeCH6K/yJ2AfE3oD+IN4r rxQ+Ub9qHO+wG3QbPDH+cnwO9C18Fp6Dru91XMNayW6S6xD3KfiL+U1ibyP/ ubWv/PE4h8gVth6Wq+KzKEiP1nuETkV/rDserxLduCejXxg/rH899k54jzgn 4Y1jL6D/Gz5Ov3Dck5HbineO65T425f+R+Zq/IP8TfL3xjlR/ib2tG4S8ytx DuI/FHsi/t/W2To5Y2/Evy7TWnezfEfzj7H3kvtCrp/cxfgd9RiDl8FX4Hvw IvTXeMPYE8Q+gf4QT83b5nm7JPv//66jtOz/AOf2OhM= "], VertexColors->Automatic]}}, VertexColors->CompressedData[" 1:eJxMnHk4VO///yWSJYkUUiRbuyKp5KVSESJ7tigJkSUhSyHb275lCyEhCals 2ZJkJ/tWZiwzZ3ZbUkm/+Xyv3+XOH3Vdj2sw58y5H/N8vs5tdl931rvJysLC 4rmRhWU98/+01P99kYDl/75m////LCwV/ZZSW3+RYKrppHvwU8Ya36GvKF90 nQwPL9ywpSkiTp1/PWLYRIbiPGL9uQH6Gnet19wiKEmBvaPaYUH3EFfp/tE2 F0EBi7bsrvxNiHuwqO/EUSkgmXrFt6qItsaX3AvnKIZUyJVk5L86h/j+bfuN N9VSwfnRnbOR49Q13jGsY6i6kwZdDRpqV30Rf/ctZCA2mAYz1fxNG7cizrXh On2eQIO4hOMv88ooa1zA1CzF4QIdQkFl3WF9xG3mbJv+vqKDYsHRgVQKeY2L F277L4+XAd6MQL6FcMSl8oa7HTwZcG+hofWQBOLfuirz1b4xoKYNN2fwnrTG 6YFdIZtb6WCqH56wKZwEruu4yjhx6tBT/7V1soEKqyXTRtwuJJDn/oHXfmoF iYaVWyzHyKDOtu1tkzEJ1EM3PpE1dICltOPd5zsxaPjcWOpxmgS9lrFN1k5u 0MEiXvGhhQBcLLIaz/aQwId0pfRFsicE1fc9myFMw6/DNj4R3CT4SMWfPmHv C+MHD2zwGJ8Eoe4d2o5zGDzO++Vm8MUftn3XcSpexMHYzcLKjSMYbE+gbC89 8wgiq6r+fD/wDVxc5+rFPmBgePz4j5bnwSCOifLYiY2CAvWN7eF8DPaGN019 OR0Gvi3bJPcZD0KGpXb+r2gMLgmfyH7wIhyENprKfDrdCwqq10Pr3DH4bcS4 vUMjCuS2TKzyOXdAZtLh9X9MMXDUYnG9Nx4DDfeONx6nNUHRdJ/Qj7MYCILv s6rdceB/5HyleHwVkLIXOkmyGKgcFn4s5xwPVn5UScm6XGg3Ioum8GEQWbvX +X5ewtrr4Bv4V+rTGBGeZqcafN75bI2TH/QPO5oSoSz+mIvUrao1HntlPLIO TwB2/b5LI9ub1vguXW1LiiUB1NdLbTi8o2ONT0vOyTVOz8CeOxlKhu1f1njL mcO8q44zsHjuUYmWx8AaTwgf3ChImQbhV++q211G1njyi1K2QddpSNjXlmEh 83WNBywu7HSjT8HbjMfh75Nwazws9MuZu05T0JG2IH0zdnKNt87ibXd9nwTu nLOHheym1/hssNmLXLdJ+DFfsS7mFmGNX5njoPUv44Hr8i7VzeexNd6de/mU QwAe2nYevXZAGF3v8kGreaN/caB03FF9kyBaf70n8ALfQ3DQapqc8YOO1ve6 //sXByt///fFgL3HfScGW5nr4frO6sZu5B9SwqUDVofI8Jpdx+nEbcTZ9rhv CEggQ7KHVILQBsQPjTy4d2yRDI4NIpI2z5F/TD7vvrPehALnej33J51BfJQo tmhXQ4GG1/efy31Fz6/85H0O291UmLYUj5f3Qjzuk0Ou739U4Ow/9F2UD3Ff z9OD0jQq7JIw/+hWhI7/g9ntx3ZXaDBy+hDbEXXErdwW8WfKaXBK5nmF8RTy D2+p5cfibXSIJJ0cJAci/l7K+tAxbzpM3FW6bSOGeGNnnbT+NzoMt4+6XXiP Xo89BZ5FG88xwHNuNy3WCPHA6pb3Q4UMEJro+fqBjrykpSwsPl7JgMzxtHXc SUzPBFQ1dXyUBsvdRrI/m2hQFHD8Ho8fCdIi7l/WHTKCMq52J/EuCkiY+rFj N0ig0vpQ5ZT3TVBb9py90k8CNlvHsoxLTP/kbOVfSnYGXOf+j+vbiTBz4/tK pBwJ9kq6Vgez3oN9uPuv+oZmgFXowvXk7SQQoQh7urJ4Q+nS3/5X+Cn47y9M +6xisJRO2TLH/hC8t9SdiMfw4C0yFXhyBoMB0bvnAzkDgWq3rTyRHQd5FG3l rUwvKt2MC625GwT9uhS2w9Lj0FuslyDzlulLnJ9T51wI6A4LC2mcGga75ywc gk8wqPzy4GzB3f9A3a7yueelfrDrNk4eD8BAUilxg/bPCDBpsenLO9kD9hT1 T19vYfDmi+edlvhocDkXYSVZ3ALPa9fx/rqMQd7R1YO/QmNBlePgZsmxBrj0 8cbd2WNMH1ZcEr3XEgfilRY3U5dfg+nKne8NohjYeOxmHeBieulEmsaYZSg8 p5yJL2LDILusZd8mSFx7fd6wOPwVekKED0fORLH5vF7jp+2GywR3EeEwr+e6 8psNa3yoJ/G7QRYBZPb7ygYJt6xx/5NPPw/uJsAQo+Q9dbh7jRvJx4rhCmaA 5yrfYk9W3xo/SAiM4DwwAxFeosci7w6t8a1pH0PuFU/DNwoUbdUaW+M8Onpb JOWmYbXM+6rDvgm0XusmS+ZfTcHZ9CaT2AT8Gt9bc7Vf/cgUOOza8VLFd2qN W7zfFYZ/MwkPL/ml9N2aWePZ74+01xxjcnGKuI4RcY3zae5PFKvFA/lYQffO w+i6DkiUds1RxUPAvu4+0e1o3ayfcP566yMOVlvW3WVlReuYlD77n/c5HNi8 au/y+UEHayxcufI1CU685rXAE5FndN/2y57cSoZLM00u14IR33xqIH2bDxki LJtWAnchvsk2Jf/8OBmi5dfN69ci/9h8LAceFQooDk5ejTJDPHIs4trBXArw 1m066fgdPb+kDCv+PRxUYFtRCvWIR1wtg0vzrTMVjFaiL8/sRbz/wtttIgNU aNabCXzYhPxzIc3insFxGhj8PSV5/jri4QW1ZqQMGvDNjZ0u/Y3OF48Zbrhn lQbRKlUNLWmIE8FySseKDm+unirXOIF4wkT8vb3NdOCo3iDp0of8I7H3c9qQ LAO8XHpXP7ggrl/ac353HAMuklr0vTYibocfeQRLDDhaWS9o+gy9rtJ68cZs F+kQSLZii3rE9MmF+oTCZ1dA9Wb/k4CLVOBjP1L8057pJYdTsU08N4AqLbRu 2JgM0sfOyB+5QgJ8YrRRzJIjOL490iqphUGf4PjguuNMX33wr1+ouAves1pl l3QJsIGnwjBjJwm0ye8SNnV4gciYfY2GzTQ0bu8tWc9OgvEmgszjCj8oFvsu FnR9Elrd/97Sp2DwGq9oftspAFgPv4nb7YeDBllfb94+DGR863TKRx+BXLBe QPzeryDBl/PiWTUGXJGmR9s1Q0DJake8ycER6FIfVZTIxmDu1W6B2uEwsEsh TvfoDgBrst7T22FM/xQQ+m5eiQAlu2t/jil/ga7HhtKX72BgnChPm6NFge6+ dyVp0W2wuzAl7LcBBncOwF2RU7Hgr1KGHZxuhN99O5rvKmMg5jN1bfu9OMC5 f+G1+PQOduu8th6QwKBbL6OdtTYe/Ln1f4w+TgOl3UnGOVzMHKj0U+vjPMpR KR/e8ju/J4ILa/RxjPPlGk+8O3j+jDIRvIbiqtSFa9e4QpzSB84PBOCtz68q Fmpe4zrnl/itVQkQe5+M2/Src43vLFKV/dI8AylTRtsEynvX+C+BkY5HWjOg 9k3Hjeo+uMYN+DsvfuqYBq8Ob3kXy9E1rue7jvuP7jR8upPze0r22xo/e5Vi e7RrCv6IvpqTEkReGs4W5LbUmYIMcw7SlQ3ISwJG/j8e9k/C+aWJqe9ElKNa sy5UyxlMQtV/V7YwvqEcJZeZqvprFA8rZ6ZCt1WjHFWQftJogzUepHP9UyVT 0PX+5Mjxs9l4HOxgqfgaGoHWpSUF6zp+EweCQUfKT9ylw2ywU+B3PAkKBQ5s z61Angm823A4RJ0MQtIj9gJXEP/BJeBCeUmGZ9Ehe4tpyDO6WjfPSfFQQFNb wcg9CvFL7ZHpv1wpoNvF8ydTBnHZxTdhuf0UcHs+w/e9CXlmcChupeAUFZo+ cGTMWiD+jdb2R+0ZFWpedj0xWELHI1nQ/FienQYec73rbRMRP7Xz/jvf2zS4 5is+LXoIcQXl/XZpXTSwtbhz5G8b8gwf+9dXkYfo8F9iDYXnNuKx3Db3RRLp wB19TPwhO+Jz78lDvkt0ePG1+IPoM3TeJWVk605YMMDDzXXsmjLipU0NR6Kb GEDuH77FPYD8kz5xt++7KgN+J8df4oklAdVaaWolVgVSZoV/0s7SYECIlxDh QYKlHnnOJS5zkCz9APUGFDhW0mo+aMH0kmwT9TXxFmS2Dk2065JgMin5CJca CdhNOm2LRV3BiChVO6lBhOXXvHuE9jH7XYj1u+3aHjDcnVdgfm0GVvcM3Inb wvy9FD/TAQUfUOdPom25NgW6xFdCiz8wCD657Ce9z5/ZS0L1s+7gYV9Dc8bu CWaOMi45lPo8EN6eX3i7WXQCIorFVoU/Y3D+sk19I08w+IsGhbVLjEGQ9nq/ l68wcD2WXdCdHAp2ukKZJzSGgJVVZojjMQb+38dcE3jDQU7pP9tdan3QxWER o+2DQeznMycUsiNhVrdf77BbF6w/o2zjZI0B3+YaRubxGMgyt95S3NkMsl8c EpbVMRhXqsVG+mNBPEvntkJuLaSVvRR3OozBkYXXw7074qFhqc/zpXERxL84 8F/RNgyWU58r5Zsg/5hF57LE/yTCpS5fhdvZyWu8C8Sojd5E0Lj+fnWr67s1 TjAfFSP/JUCOnFTeZ5XGNe7NN7c36yEBIFk3+apI2xovO6zuq7WeABxvTrbP jPWs8ZjqiW2M8Bnw72r9Eh3Rj3J95YFLMdwz0MtP+rHfbRitj93Vn6Rip+EY N7tU1YnxNd68+9l2zc3TkO7zwmxZEPW4zxKjy2VRU/Box3j9ry2ox90fzMiQ F5iCk7hDTvvnkZfyxGuFziVMQm2miPZrIspLXoOi4+rbJ0G9IkiupBPlpdkf NUS1p3gY3uu0XSoXXddmkfyRKuJ4GCndySuYhNaNQ2SB16HnOCDEaW30+6cP 3bu8rFa7GwelgzeJtT4MWFXlpxQ8J0GGSWjx7ALyT1CTsIwMBxm2DTx0c4tH XPAzux3+DhmCexOOVO5D3PfA8wbtHjLscloc1mxF/rl9JqCA7wgF5EyE5sLs EL85cObx5hTm+moyZgtfh/gGnf7kdb8okHjp07qUp+h57/zPdFcPM/f48YFP qyLi/sWMcoFWKuygvJgM7vknF1UZ3by0j5mLcGcVdJwRzzqXI1QbR4Nfhj/8 xzn+ebxc9hR+ngab7ZffVeSh8/inY/y0hT4dMjpqzJQvIO6DraRvraaD2Ov0 laAJ5J9sEn1L/Q4G/CwpDB31Q1z5ZT/XhSAGWNKbovUF/+l9Jq2CZ8nM3nem 55FxCXpdIx3kGJxhdKBnftfsDCFB5YUmxxKByxDOP3L0aBAVwkbDA1mdSFB8 UvgE56A1qKrYcT5JJUNF+ssFbwMSCEa3L489vw2l+Qpa7yIxaL3TfU75JDN3 xW5sLOS/C1le5QohkQTYGOKskyXO9BJpfc7YES/Q7dxVmvyc2RP2PHl8cSMJ Ok2mj97i84PmPD4Bv6eTMJsdNXqNjsHuphTiNbEA4I0P+EusxMHliwmp3IMY pHMMyMtHPwITsRBQe/kVWhta3+JrmfkH37K1bTkY5CRFdazyRiBQ5HOXbC4z R4ne9bkYEQbucg+D/vQNQM8vnT1vIjBYxcWcdPsTzuxf5vF/ar7AOsqYUYgr BsX34opCnkRB5c5LQwMP2sFKfPr8ijEG+i8mHhduZXpp1H2gDPsIBuOezu8A A5GvJQF2mnEgpx8xVfeyAkK8epMnpDDgOGNWKpzEzEvrNHvC2LJhnbLqyYxN GPR6b7HM7EC+4pIwFU1j9uCNvQLNQwL5a1zlvuFmY00iKLyb2npc9f0av+7K JWPzhQBc/51mVRP6tMYr2rKV8nQIYFMXejeTC+UlfyylqHVgBvCy3jJvVVFe wu8LojWYz4BoHCk2/TuaO7l3XZGljU1Dk7LQjwwimjst8o+E2ltPQ6lWeYd4 AZo74fOcz+p9mwIzi911swPIV6WJd/PsLKfgrc+fULN25Ks7e44c7p6eBFmt OE6OApSXzAW+vHa4MQmmdUGc8AzlpYbPPUlEEh7YW1im4x+ivFST1aSu5IqH JaurvgUm6HonjqYt1s7ioPDJloRLumj9pfDfdN3mgQNn5+kXQkfoEPltUY7A fP/mfZ9r9+Yj8kz5I/ZDd0+RYVow8ba0JeJ/ks6dKn9KhnRWI8upn8gn9fxu 5gdZKDAWInPaMRXxKxrG7H9tKKChezYxTQHxdXT7upAWCqS+PDzG/wV55sJ/ 7IGhzHxjwJe4nf824hUjIl+skqgwWf+gRWk94j2bWRUP/qRC23/JNxyz0HE+ UHZ77mZJA1ELmUXpU4hfGtosdaeRBrqN/7nvH0KeiRnNqMyQYOai+t+43x6I P0+Z7JMJpcN3lopPrvyIjzYZ/L1FpkNDv1rakRJ03p8RdY7t1mXAj9caNl4a iKfWNy2VMfPoutH+HAIe+Wcxqvkn5ssA7eptedwJJFCPa8tx/akAvzZWxi48 ooFqZ87Bjvsk0Cse3L/H9So4WjQPOsdRoChoz5EJK6avlrMfL5XawjxOBouO J4HbKrNHXyTB035KhYG7C6SPyqreDScCnYs1Vu8gs8cZkiq68u8Bqwnf/pQn zPfDzCi7xK0k8Ke02z1L8wZfNk38tawpcFrwWD3+m3mdcdI3iL16CFbhORdS X+JBj2bAd2gSg1snt1RHGQdCC3dsbHrCBAh1Ku7c3oZB3Yj3M2gIgoLyigt+ uWOwf3VfGKmU6YeIzRFdaqFgtVXY7EzjEJT3CTjzpmCQduPg6M4P/4Fyj/gG zc99kH7bVODxAwxG/5KfqmpHQs9sl2/d3W5QTGpMfG6DgfWscIn8TDRs1F1S ItV+BtuL5bo/NTH48M6C26E4FlSH+tVUXtXDfDVHW/FRDA4ZPvi1Zz4Oekae xR7nL4WlXu36cmEMDobd2Fl3hOmfRFn62KwLjPckl7xehwHRuVT46E00XzqT 1fSdxjx/3zVWP/F4vFnj8devkv7yEsFarKtPRe8D6i+zjTG/YghwypowQRdu XePC7xay4/gJcN/wv62HbFBeml86/oSYOgNtArTJw9tQXrrYPeTQsWMGCj8F bhufR/Olpa8qedpPpyHQJwcjNKL5kl2ld2KF2DTsGbANO/gSzZduulj292ZM wYyZbuSnXtTj9Fp/K6lITMHlv5I8xypQXmKlO+nGP5uE9MV2t8Z8lJd4NPL7 AqUnYYZSIfs3DuWlh7sXTx8txsNMSfjdbHt0Xd+JTX/gIoeHV05LsylGaN2U H+PZr/kWB+4H82vhNFrHpffciU+O4mBDo9BY+gkGfIpZH/25lgSDnEncvWPI PztzY/Zp7yaD33dOZy0vxDlLcr9ohpIhjrz4WZsf8cynEdGnMTKs/NzEbf4a +cfyPHWQQ5MCygavGuMuI/4GP7BXs5QCxIqPzpdJ6PlJU6mRalup4P6qiMcw GHGH19WeKb5UkMO+7V63E3HZCS8PcTwV3KrF99yvRP5h87EJtlSjQdKuY1tP GSLuvmkkU7CQBlKRDb8eMdD5igoW66rnosOmrd7tI9GIfymbCDvrRIdWQhWf 8QHECwdlL6v0Mntwo4um2Wfknxy7p3tmjzFgWe7XvRc3EHd41+G/ksEAuekO oYzf6PXLJd++0L3IAMbqLguu/7tfythV9nxFpenEYv0qOx22K3bUaPkzc4ud qKvfaQNYruhm+8JFhbTDQyOztiT4mGpBfHjOBlI2tyxv3UaGx52DbkRtZo56 cuXt2Yt3QPrDoQuJ3MyeU4PZf5Zn9rj55RplC3fQs5s6vHkrAdjiV83SREjw hnwrGGzvAwF72/JbYhryuDnb6teRgChHEv1o+QASU0YOREhNQvZF1+8XMAzO /e3v8XgfAEvt03vMzuBAnuum2ZYeDF7P5t8+IRMEGym7PuLyx8H7mnfmzQqm TxSpOh2ZIaCeLjKg+3YYRD1pmTsymfkEegqPSv8HJiy653M7+0FR3nCHZDAG ji6nna4+jwBdoet2d973QLpq93fB20xPvhk4aKEaDThF8bBrma0wJa/d/usK BuElmbrh1rGAy2H8Lpj4AM/a60WPnsBAUni7SnNmHFglbT/5+9sbqJWK3d8u xsx1NhMEylQ8sGzlu5wrkQB3NlDd8zkwMP+OO4UJIS9JWW/mVHtJBCH5jS+W /xavcZKTse/+g0QY/wmWpvN1KO+/tjUrKSWAwPctrsLCn9c4Vn+JtuMIAYoU tC/7kbrWeJUz9my4YgaMMuXZ3fajuffWPweLLijPwI395frKi2i+pGCkfiuj dhr2m391PjuA5kulM3ujY1WnYTQ2el/+CzRfyuW+FcFfNwXp40pSZgbISywl Fc76qlMQfHrLJfUzyEuVYd31ck2TcD3rUN20DPLSsUM1jUtqkyBquEv4qQjy Upb7dTJPBx4W3n/an7aI8lJiSumNfl08GBLzy7OG0DrQCeuLCerFQZSNueyn ZrQu9zQ5HrhqgIO6lAeNpu/ooH+Q0MdGJ8FFxzefEl8iz+jc8DmSakgGLcVd dixqiM89mMwVryTDC5GKRS888gwu2GTfTiEKVAuccfYNQFxNu1F+6QEFjLSG bj4TQVzn1x+9RhwFLj19cmGoEnnGVnqXZ5s6FRTu+kh06yLOxuqzb28pFZKS dzm7kNDxeKlGfD+xhQYSV3lzr4Uhvvzn4acQZn/NeSLcz78b8V3ZF142j9LA Z1mP3luHPBN/WPSZz0k6bHTwW9p5DXHvBzO7NmXTQXzHW+/IZXR+Od/4l8ax MiCOIETiSEY815blop4DA5aOpupdPIz459YaR/svDOjrHj8g14K8pHZk9ytW dgYU3uNl8EQx85Jw3xa1rWqgMOxjja2jgb3N/UzNu0zPLMQSWnItYZy1toCX eZ7rR5zDOk2ZXjImnHPaZQ/qZaFDGzeT4Mrhg64NqiRwHSsW3PjJFfgXJU7q cRKB9eqO8q/SJJCsHCmzmveA4ounpXfvmYGVF6L3onlJYEw9rMXR7QN84vif H3dOgcLY9NFS5nUW43Lfq9bPH+R8b1vlH8EDa4LSfsFxDILvaT/LXQiElIdG I4G532A1ZuOEaBPTM43aY+evBoNuoG6bcPYojKePuToVYtA5cbS5hxwKXpHb 8Ud6BkFX7iSsi2f6KjSck9M8HGSz5prnGnphXe417g1eTO/FpPTKfI8Evtcj slkundBDeSd/zJKZxw5aynGFx4CcfQfJ7esnIJuKDf44j8Hye9Fmjd+x0GDX FrfvyXs4U6jjuf8ABkpxM+UB55n+OWnVRQwvgEP+3Po5Ahh8fEnUj32I+trt jXoJL8lEWM85TPelZ6L+MnF/MtmBCA+8vY7vdKxAvdzYzKh/lgBNZ3y9dPd/ XONacmJN550JoNZZfblJpH2NaxamG3EszsBjPmpAhj7aJ7D/QWj8ks8MqPyX 10BjQX3NOztgr97vaZi/pjPiM4fmS+U3j8388Z8GLO2WdUQpmi/tiWhP+7Y6 BYWRYgtXjVBfkx0w3JngNwXSY7cWDl9BfS17Clj3sk2BxAelrt0HUV/T1OfB LwROwqi6vUyWDOprMzfip3k3TkJ+4BWla5zIP1ZdwXHGsXjofqbzvuAbuq7V w8JSefjwwLaotj9uAK2nXVNqzVuScGC8NKdX/Qat75Myvjnf+HBgSilb+FbL AC2a4dnspyS4XHTOePnnP/lHSzkvg4UMf7QsFn6nIC60KbOz2Y4MgZG/23vl EH8bs7/zShsZCJx3Oi52I//c8SeMx++jwAHhNzUbnP/pd72ipSzxzH732ZeU woF4nUz0qMsCBcZduetl89Dz5nrIutHSnAqxIslxp/7Jf0bXN4XyfaSC2vFI /v8GkX/2a+hbfNpDA2fdC8r99xDfF7f1R14EDVw2BufMb/qn3z1ZZ0+mMvvd arJcSRE6j2ECopQpLTrwh/gVv9NCfJb6Wo7rLR0Ki4h2MTPIP/jWwM6jggyo 6t7WYRv0z9y7wMhp2I8B5NmzBz7sQDxA4IPluWkGCIcMnzR6h17XGo+/1ZEF dNjzs97ZKex/9/dvxYzf14QD9mYPwnOocO5TBTXkDgmWJMKiXp60BrJGbJRv NRn8e3B9YkZMj3GRNQL/OIDB7vKoP0UYnN+h4T1yitnjPLXObWhwg0plyvdn hQTg/KjZsVuC+XjSvheN057gcOHnC5XmaaC+eBhG4iRBi8QNpZ4aX9B1yIz8 WTsJQZX9AgQGM1e80zhouuwPsR/tFNsHcZA4uGtv+BCTa+Oez916BC7Up7t2 Ur+CaKpFtX8902M8LCEa3cEgG5J+cHpyBMwe1YoUPWf2u74nJZE2YeC1cqk/ QXAQyosuzxhFMXOO37STV184iFuNmVv/+QJpgmLOEncx0LNV5bniFgX+yVtv Lyy1w4Ox/3J9rzI9Qzyc77YuFmZlBjW/OzSBP05KzegMBtt5k/jjFONA9yzW ycisBMVNU2U2MhjsUaqWeB4YD6r1T7yN8Dlgq/H4pchmDI6kZxAiqpCvzvUe yC7pI0J/lVFUt9BzlGdWti7i9Yiw8CzybLF+NfKJ9cLVuBECLDuF5fGmoH1N DlGe7erGBPhmNVhDiEf7mso2fKKf/zoDge3cpWwb0HzJsHzEb8JmBoIcFLMW 3yFfBR1IFAqYmgbKImFYoQjNly58U2t+aj8NmadUj9XfQvOl151H5K4TpiDM z0zSqBz5ame0xCLt5hQoR3gZ414hX+0I52xfok7Cjh/26ZvDkK/ytJJecdye hAKTTPZbwchX/5lTz1jO4WFDxGb+K9eRr5pzOM9euY8Hy/pPTmQldL1HlnRo ay3j4B6pjvbyKFp/x6SfNQY/wIHoTO2ejXx0GA1XCvvWTYJ6Xust71uRZ7q5 ZV+RFMjQFuVKLbFBnOXrWNb/5qupNbXLf/4inyzdW7Y78osMz/Zky9k9Rdwg rOZEgCUFLmz5ek3oFOI0stqIZyMFiooNGnYPIc+sWtc3LclQIf34aH+OK+K5 3Y3V9BgqLLUOfivkRDzvo9iGfQtUWBy4n+Cch45TvONOBs2YBt6d+1ZenkG8 XzJwvUkNDZrdtyed+Yo8o3N+9XSeKB00DZ6YLfgiLjexO6DYnw4O1Z5CFCHE L7dyJlhM00GrJ2aD8jt03qc+T80majCg4su7AjZdxDfVXrh6/jUDosb1VA0w 5B/xGUbkZBoD7rUP60ckMj1TkMBadFAODgiGmnvk0sBDxumKow+Ti8rWnpA0 Ab636hItJRSwc9Z9cuM6k+P4yCmCtpBO1XF0eUOCU0eP9y6rk4DK74OTEXcB VYPCgPeFRHCo8GlmHGL2QeWDJ/YZ3oNtouep76pmgHXMfkZwGwm0KfPO4dre kOQnNbbhwxT43DebG1nB4HevI0/Y1YdA15ZrEGzDA2F9usbbKWYP2t/4N1Qu EHruWK5e756Aa+aNRY/bMfARCxFcTQ2ChkdfpIxmxuDBYF1UWBkG1HcXVrR3 hIKJR+qJT6tDEKPM9T4uFWPmbiPeG2n/gWo61RC/sR8Cd14dUPJnXt/p0Hdh TyQ0qHZsCVnshu4G9ldnbDHgwrfwrr6PhobWho4Nii0Qwmpecl8bA/nFV6JH n8SCf1V7Ct6kAXbVv8vUUcBgb4hNhNbXOJhtYfGxY38NBbcsR0/twEDjYWOM xi6mfwKLVTWGHoLqN6r44fVMf8cp54jpoR7nrZvsvT6BCGO1T1+EeZWhec6M UFf4NiI0JOU4/BpD+5fqcS8bZVIIcOLCkaCqVLR/qdOzVUFBhAAleXIn9GTR fElS0ObrjewZuF3+4Lb/GOpx1aYHf5OZeXbH024phTdovsSuHJCEz5uGUnnX Nr9QNF+qfkTopclMA1/T7Gy7A5ovKSSLN04+nwJB3/D5fW9Qj6tpLAz5uHcK JnmzxqpSUY8rNbhArXo5CZFPc9nbQ1GPMwp07BY7NAkKIV8kZdxRj7tYvplU 8A4PZLfU7Gta6Lr2jMd7/qeEB+GO65OjimjdmHOpBI28x8EpHwOhbDG0jrX+ K1PiPoWDiuPzBpFCDBBQvjhTX0GCUAu9tyN45B/FA2UvPoqQ4YYTkTHwAHGe 78rHjwSQITrX/LqdEOIDrPxPzkyS4VNS6KpxBfKPddAV7nA1CpwQVI/ebIj4 02+lasqFFPhVjRlYMP7ZD9CU1/2GmWNq+udbZyIQN86/bi3twcxF84pKd/f8 47H4pAs7x5ge27Be37cO+ec5l7XfCDNXfY9WEm0wQ5zFTNPv7zMaPFG5LJr2 HZ0vrdmH+i1sdNB+IXzhS+I/5/HnLsVWWzqoZHnf6Dn6Tx4d+4qX76CDb937 ipudyD+T6vITNw4zoFLXtvqYA+ITZZenopMZ8J5wqZyLFXEu6cmTKisMiL1b YWmW8c88/PzHiABp5vOJTcJRA0gQPOTEmjirB+m8erp791LBUIRN7Z4d8/GB HackCm6A2o5Z3yVFMlis49GP1CGBipALOynTCdpOloaO78fAxP56ls0xZo8b VVZJ4XIH2wNCcweOEmBD9+jwDlES+JOjI6WF7wPL9ZjGnHPT8CaOVmO9ngT4 X7ckDnA/AHHzW3kcapNwzLLyUCeJ6Z/Z4G2uiQHg/afdVOUaDrxTZ8kxXzC4 o/jm6w+WIBCtVMqpwsah6zhvLlsVBorWez5o3gsB1dW0N/2zw/B9Yoqc+RQD /NLyN8+/YWDesePxyc0DzPdL/a+fQzCI54nPuuYTAaoNuKO9v3vg2G1+3jJH DIqfBUXJbI+GrFLyDr9tbcDKmN/ro8/0J41urXeZ2eNmdd0o1o3Q3e0013sS A7FLf7ro/8VBVrC75IHet+BcnXVBdzcG5WYqVz174sE/5nUOjCdBn8AZgiSz n7zf5tQ0wI68dG3LZNTVN0R4LqLpMsv2CuX62W3W5QpEqMawiC/saL4kmq0T PV5JAPFRc8HpFLR/6UmguH+dEgGkhp4kf3JF8yVK1FaCQf0M/FD9FNU4i/JS aNgj5ZtqM9DHtv5G4ls0X1J7G2585NM0XNladGUkFc2X1r1+3NGsPg3dD4US ztuj+ZL70b33JZqnoHXFLaJBAXnJscC2dvjiFGzRjhTu3IO8ZMvINzPpmIQr mhxXaBzISw9uBdQlaE3CHcZxwc8rKC/ZcT54/KgPD8sP+q+aDKG8lJn23Zxm goe681sLJivQ9b5kzk7iH8WBbhnnI+kXaF02DBX6tZjjwJHXRPlSIh1yRvbu /0MkwXK9853018gzdpSM0s06ZDha/Bv77xLii03eXBvKyJDXvysmgYg8I0T6 pribnwKBpdXXvUIRvxgpY+flRQH9TW5Hdu9GXPnHsNObUQpY5jTsJ9Qhz+z6 O1R14iwVfNM+TFwzRnz+h8TWCuZxFGR7BE8y0PFcXiz4pMhNA63ns33XoxFP i/KtXefG/H6enePJMogX0iv/K+2nwWwhbjOpCXnmSpqvbJACHTT+iroK3kSc 7ZNkR0IaHZL63TvZ/6Lz61dxTC10hQ47J28Y8mcgPn0hkbX5BgPK9diT+44h fuqzSvfvNgZc6zVty+hC/nEJu6S6IsGAvpCe9MhoEog9rzhjXXwGbKcvHbwt QYOsunONFHcS6F2f9JwwtgD/q7Boy3z/8W5Kn79izvw5qoYpmx/ZwWJtiRn5 MAmEb1y/cvMsCSqFVVTGXFzhrVOuT9peIviyP6Z6yzJ73NOdCjVPPaCJ242o cmYG/hCW5zbzMX8v1UifHuADB1LfLzioTMFZ61YpvSUMwgeUfs/p+0MN/BzZ o4uHpBcPbZ58xaDOdhXL7AiE3EnJixq4b6AmlnjnyScMojZe1WaTDwY7HYcX 8/hRkLvn7MnD7JFPuRyO634IBRd6cv07niHYlyoXEZSAgavKm9OXj4WDrGPt tjDWPsAMLTtf3MfAcT+N/VB7JLCsG6q9NdcJDtt+an65hsGtXZti+61iADeZ 5Bdr2Ayc2z4peF1kPv6X49AWLBas2KIelDytgTvFfzQ7DjJ92Nh+sVCO6R8h kWcaroWA2yp6R0YQg/GcC807HFFfu6H5u3XXPBHybxduWbz4ZI0/jtG69cqN CDfowjtS75Sv8S2jIqeuLRNAvkp3M887tH/JRnzjDzdPAhwtY1+ITkP7l/46 upFe/J6BNuuEvA/b0XzJIv1Nv9ujGZjYr6Sh0ozux9EPDFW5rJ8B0xPpWN9r NF9q/ug5EMfsV7z6iuck7qH5krvR8ZGtHNMgFWQjs1cR9bXl39u5nwVPgf7v 7KuPj6C+xvuVrlPMPQWFPW8y8jajvrZcNe27I2ISOhfOVBdwIP8czjDGvdw8 yczttxVCKSgvyd7IVu5KxkO/rSXJ9gO6rq+Ed8ZLCeHBVe+1aN87tJ6aKjzE sjJwsEvt6asdSWh9D52sXtAWxgGHdaRTVzoDShK7EkpfkoDC1s5OoiH/OCj/ yC/dRAY5i5w5LAJx/gAn1hV3MoQJHUjOkERcrXXXW41BMhj1eM/ofET+ucUq 6h59nALyyX5S3NcR9xq29d6VSQGJD0fFfH6j53fZQ8QwnoUKWnseqnGkIi6X UKZw1p4KDhuINsZyiBf++kLY1k2F2czPZYFtyD/YXlOnbubjypzhQJsd4oJL h0/2JdMg+Jn9teZ1iLd/UrUcWaZBd5/JqYYsdB7dQjJiB6/SQVZgZeNHQJxj +iKnWAMdEt5difUeQf65zmlmpMn0jFKsyrnLnoi3vNIreBPOgF7KhbkZXsQ/ pX/pUJ1lwMDK5w6TF+h1NbG03hN6iw6VavtlDwYz+9dbPqkPRrpAeG9EHLlJ hQ6GhdCD2yTm6144bet6HZKOqgZXeZGBbuchMKjH9M+WV/nHLjsC76E3XE7M nHG50XDTUyUS9BY0qercvAvRbwPu2t0hwEaNhN5dYiQQIY+nLT7wAkUDtfLZ oGnoySjPeb6B+fjomwdXb/jByanAVJaASTCPuJA9QsWA1EvMvnkhAMKs0lrY njCvp0oOrqh+Zv750PrB/e0jUNNztLrt8BXuYcdKztZgMFEe9+ySRAgoND5x GbcfgYLXPYHPczBYtbl0kbUsDFxs3ijcih8AsvoV683hGAypneJwlIkAOb5v n1N9v4BdQ4oK2Zn5fhw8qVXTFAUbcx+eq9zQDqo3VYg+RhjgHGKCJmViQTdS 4JqL7UeQHW5N26qCgWhR6yxYxQGfzaGfUZXl0Df1wddUEgOyxsrp6BfxwBK6 qOmhkwnphygtYjwYeFwNHiidQL764hqaHPSRCMrkntUJ3hdr3H7p8b6Oc0Qw aj5JrD9Qs8Y1A3YvKrYSgCd33uJ+Ctq/xLqx4/l6dQJwiZ7YZxSI9i9dbnN0 0O6aAdUQLPOGD8pLd54essgxmIGiivQAtWMoL9m4bFa62j8NmUEaghx7UF56 dtFJQ/7qNFRbHLAJxNB8id//lcHZwSnYd5poHPEd+UrtSZPJlNEU7HUMrBzE kK8+1Jgk5I8z+1p2pcfqZ+QrgVHu8k6zSeCQvL1p+wfkqx9H31FcJvHAzj7/ rj8d5aXXmQ91xOzxEM9KC7f1Qte76gb7J4dJOCBo2yiRnND6+7UqLZ7vhIPm n1xye/WY/eTo6xHaGAnMb2H1L2uRZ9J/TxavnCHDakY5Od0Y8V+6Lwd6npMh S53+sWUBeSashKKzdwMFBMivNFwSEL/MNd/je5sC2jH5LaKHEN86F/3scRcF ggu4lta3I89El2qC0DEq8JC0TQNsEG+bciP2plOh5510WfPKP8djNn1T7i8V sk6/k7dPQ3y86N6rH8zvr6PuoWYrIF7/X8aFoBYajG1e0RP8gjzT43xa/rEs Hdr2mtuyuSIuovdMOjuKDv4Xl9yWuRG/2fD0ttssHY6N/Dwo8wKddxuOmvuv jBigGP9VjHr2n33gjWcTxesY4DFkxH5/DPmnRTHDlmHJAMkXBssRcSRIu7/u 3PFPJ6BlBWtyuUEDrrvDnAe8SFAMwWk8dabQskEtYvtdCsylLjWbXmP6h0/+ jIHWLbg08PfGK1cSFLZ1bCk5TwLtJPOYgBYXWLbKX93nQIS7lmFX3+0nwd47 zxXv/roH1IQxe2+/Gfhr9ZrCL8DMV5Rc6xqiN1hFuBArH06BpVM8d9JPDIKf VrCYsfhDf/PWTtEoZi4f3DSUj8PgkIaVe8KDQGgo+CAxaDwBvadfRqW0MK/L ROcjAYQgiCVl3Mq9MQZDUsmBl0owULcaFta5Ewo2ZSm+tcFDMO6wc09EEjNf FbHlDRP/AyU2w/K3wX3wrsrsypwvBm9uJDme9IwEXNYX4tJ8F6TffujLeQOD qr8OOva8MWAyuP95+/nPoB7JN+91ieldz02/sj/EQtYpfpOqgjpoLr/6fdMR DI5Iptj/3hAPqgNRWptUikFN5XTuESEM+OPYXh49z/SPuOBXd31V8Px4VkWB hZkPL0vGqXmhHscxO+cyHEiEw4Pmk7F336L5zEQq2z0OIqwr+Kn8qAXtX4pn GTXvDCXAId8npyTT0P4l2/mdmxlcBFBmm2RwZqH50odh7qu342dgt6uZ6YQu ykv95wJHXwnMwEnqMY6goygvzTxceVeVPA03PvZt0F1F86XtNF6jgO3TcJAw LhZDQfOlxxrphMbHU1B5apu01TzqcYRuLUqlyBQ0Ml4ol/ajHmcQ+vitw5NJ KNJYmKj6jHrcx82TQzO7JiHhSuaBoRKUlyojh+Pf5+HhK9Xn/FQIuq5too2D jWXxcH5z+F+jf/YD8lmPfqkpwsGriZ/Xv5mi9c1/XTHpwD4cWGiB9StTBqwX dXo5KEOGZL8D9EZX5J8N9jyOtlFkSJSLOijPg7itMnvgCToZFCwSt1u9RJ4x 3RCaE3yFAqoJ/D8E1BFvnv7Fa1pOgf63meEwhZ7HHQH5SwMiVDgQYqvT9ABx v/f80VyPqLDzWwh3zDbEr1NuRU1dooFS8RGe8svIM+R624b9pTQoHTk64kRC x98lUq9ewUeHjgejupNhiF9wzBp7f5cOBgd/1n6VQlyx9261+jAdbD5LTeh+ +Cf/hHHb+Soz88+W6CM7Lf7pyRWXdjnkMiAXf9nn8Hf0englnH0zMMiAZpp5 SXgyCdStkzc+MhGB2INSiz4zNMCPrUstekAClV9tE7bhhmBkrV3lRaXAN7VC Z8ebTM+8psd//WYD9PVZ7vLMn9uRmh1/VosEgmLyN9IZdyDo4is2LWaOtuJz lt93lPl47nen8CXuoJJbfGfu+wywGUpMCAmTgEhWfWDy5j50OI92GbBOQ3Kw 5NBOFhJQbR22m5Y9gA0Dmm94OSaB98i+mgYCBpt4JSN8JwPALe0P1XMPDqje I+3xXRgsFKb/9NYOgtmd7NMct8ZBOpSQ0vwOgxjud9+0WkJA62TaUofnMJzl /aGXwny//BSW70HT+g8MFIK+b4rsh8sBRlf9H2Fwvh87od8dASYuUxlcPj3A ui3y6317DIwbpbvi7aNBrtZw8Yx0KzR55Tt662Kw3fUyNLrHAp9hdLCtxQfw /LxFPe44BjKY3KuMN3Ggml+t00YpA564h3wXdmHg7+TvbvWDmX/kvs5v6Y0G rp9J6/dtYHqy3+DNr/3IM9RS5aBDz4iQ93zSxd+vFOUBSnJylhQRdnIny019 q0d9qsFPNrCAAJJ8nzsup6L9SAp/3E3v7yXAmfhVtmPW6O9ww67UWJuXzsCr 39m+u23RHDvbdXiHrMIMLFyxV5uWR3NsqWV2T87yafjzjDf6JR/yjKVInY6p 0jRQs9kaN5LRvKh/OjeDtXwKnGtW677fRZ55/G6jRJfSFHw/mOT90RJ5hlPi xx7Omknw+G64f/wi8gxlcan56mlmX6tm2+mphDwzPHEBkprwwFgu/zO2BV3X 4Um3Hd6r44EWduqT5Q+0DgrfZCsuteGgcVtJ541ptC6DSw+NkTRxILjnufrt QToojpmUSZiTwbZOlehxGvmErnQJTtWRochKx9RyDHmjQKJ3p/Au5vuvx2cf fx/Ez/Ja/L0bTAHTCOU0qa3//B3uHwmlLwQKKKV7WLeUIW8Ua9somOlQgap5 7KbKJcSFePpUn5RTITCq2WR1Ej3vnEgnqdPbabDMc8DdPBBxozuPOrkf0kBt /7aOKBHEE/X7O8ZxNNhw4VNHTSXySW/T+513VenQ0v/VR/oq4vTjea4h+XQo sl6QEZhH5/Fxcbto+kYGsFM6ff/E/pNzQhwjvrkwc47AQd73sojrdZzkGhpi gHqnZUzjP/1ZZPSHMCeRDoE2WmeiIpj+iaLjpb0vAEtH0eObeCoocJV4v2Tm F7FgMCybuwZKRSctyn+SYT3j7C6NqyQIdvZktFXZQ2beNX0ZOgZhv3/E7gAS SGaI0RSE3eCOd/YyJ4kAIUXZD1WlmH2q5/ER9vOekPZo48317DOw4qi6zLOJ BOHUjefFRX1hOW8Dy84/kyBtyKLKu/A/b1R/D8v3h5zKr4R9Ani44zs3Fz2K gU5QukWhyCOIFQ27XWP3DSpY/HQyGzEQ9DtrH/owGJTfKVJUrUYhrOmiY1cB Bstvfxtc2RoGXvuSWYsTBsHj87kFv1imT3qsBz4GhoN4v5Sn2cNeEJm30rju gYHYwrmnu8WiQNx6PGGY0QHHP7jtSDVn/vzTJT3wJgZcGOuMDG9+gvan9z09 1ZjH7dfxNoA3DsQ7OZ4/T6oGwbzsnPB9GJyy+it11TQeGszyfgbn5oEf5dfx nfwY5L8Nw7MloJ7l/qnAXGmKCLO9rITAS9konx7Otwi8TgSvDUP62faVKOf2 P3HVYJ5X97Z8fGI22nekoKoYJ3SLAEaYc+HPNLTvKIXY/NGGOgMm9WoW92PQ XOjXNTNdb/cZeEzYqpRxCt3H37DtQKr8wjT8F8LatucIuo+fx7GwaH9/Ghon Ux4uUtBcqLf+mnnB0hQcfjxaF+6BepZJccLhR/em4Gf1wag2F9SzjpFj3z5b mYTk17Wr6ZdQz8qkyp/v8J4EYkZsYvJF1LOe7OvEXFkm4Sp2XPm4DOpZSScc CLgwPPThVKPI/+zzPR1yLmuBAw9Zj4dP6PxzX8iLV8DpUTQOYgvUlk3++fuM dAGVK84bcfD63sh9xjcG3P34wykjnQQyg9n7V1aQfwpjO2dM/pBgdmPHG9V0 xEXkHPyrbpLB3/6wME7+n88N+HCnT/8zGTSH9zWf70X+YYgJ/9CXocDL+/45 590Q/6wbfvpnNAX61DebZ3EhLrKV4iM7SwH/4OKdri/Q82bxHlyRvEqFNLGP 6e6qiKsqizJ4G6hgauFXGD6C/LMSe2UkUJwGmRvVG7bdR3y2QpvwJIwGhXjN N3/4/plj97x+SSfRYLaFSCss+Scvlb8/k6/BzEuTX43ndRDf5xz5i+01HVz3 bXqaiCH/rKvWekndwoDUCS16Ueg/+7TzkzOzvRkgN7/u949diB+eU16vhmfA 7QLzJMNK9LoOrhDEuyqZ/Vj6ecDp/5j9KL5SfOHAJXiQKJpb/prZN0927dZw Zuaf5PqKFaoV1Onk6tDayGDj8PvcvBHz52jcdzN84QCS3zyKd9diEDgXLFig zOxft+nr3ya5QVNm8GBZFQHC8VXhkxIkiLGvO6BY5wnLgQTp+MFpWKDOBVRz keBjqMR7tgRfENK62Xq8cxK6znnJvZjFYOmghO7QtD8YmI9/qZnBgVLmtIvG MAZKszPfegwewUrvgej/eL7BhWCZ07oNGNCzn6j8Vx0MshXjotLrRqGlorLB KQ+Dp4dKNQ5fYfpqUm7FUnEQCtkvN8tGM39Oe3SoT104CL0VOZuwsxeIhao+ s3cxePFtu3K5RRSY9P9UYJXvAN6q8T5lUwx+biq99ooRA7iuDaHbipogadK3 WPosBo+lOc2kDsQBrmrbuTChKog1vq0qI4vB6zekMbIXs5ftatKp7X4GQj1g M7IZg4miqULWUuSra/uSblQPEWH44LKL5o7cNf6w1t0234gIejusR+y/os9T Ch65tZD/lQAPcK+WF4zRvqNPdya3ipgRgK3MD89ljPYdtQmObWbDz8BYusFi EYZ8xevL1ky3mwHVofF88STkqwizd3yaxGnYcKVLwz8a+Yr+0Xum2mkaROWD 7aMvormQEJ5fxoE8BTlRXkNhechXfVy/0krtp4BVQLFe4inylVvt9xSuOWbP 0hqcEfBCvtIiee0fvDMJHVIv1/t4IF/RpL2Thb/jIYy6bW+pPvJV+56iOgs/ PMTTfWy596LrHZd601tgBQcGsYJPxvf883cVcmdv1wbiYPZpIe7hXxqssx59 M9pBglSl+pm6DuSZcZ0qau4RMtRp4IoWbyHOylKgH51EhpTUufPc6xGPzz/l LM/MZRvnLfbZ5iDPDMow9M+aUaDJtfC8sco/ecm+zNalngKKcsSje0eRZ0wv i9oWS1JBVdNPnuKOeFpbUsm7SOZxdLOSp3j++TyljEN3ZGepwLnisN/1n/uF swJOwi8NmP4JPuBPV/vn/prm+3mtKub3X/6Wp4VDninxLvYvFKYDZRdFiPEQ cY/AD0OufnSQ3D78QUb0n32SmtPmJng68F9+p3ymEp339ZWvui5fYEAyntJ2 Sf+fefX70HDeYgb0ft2yOYKC/FMZG2Q08YIBXP1V+zQfk2DJbtYmPmY/XHhy p7HiLQ1iDfRuKPsy+1p/D/snP2OwmuBUX6yjwKdp2x6pG8wcZai+lfz5JrjM 3ziE/0gC8Y4rZ9s1mP6xCSZJUJ2Bb8vtnIlqIuRHVVrXHWb2Nbnun0P774H4 g4mOppYZCPw59GxwGwnkb4cs/JH2BslqfhPTL1MQWNNJLvzD9M/xAzE1hx/C 28M/VvRH8CAXA7ae00xv5KZJsO8MBIOs88cu0CaAVTJs0aADA9PGiMtfQ4JA 3cHycSP7OBQ0hvGZvGHmIs3Jt1EbQkE3f0SWY+cwrLiwW+unYSDv4VDAHvof qAf2+hXt7Yd7HiblXAEY8JFJVA3eSDB3l6K7i/SAqJFM1eZbGFy7mqVyIz8a sjbkJQm6tYAgrvjbicsYOAoYSSXFxYKd1Uofa1oDKHzg4RQ/hkFB5lAfrjcO /FUPz7I8fA3rygi3VndgMPRrTj1mK9M/tcuL8PwRLNgkj9DWM/tmdqBtkjrq a0kFLKd5k4nwzdPlSfNP9LlJvXleqroiRHjYy6M4nIX2HbWbiJurpBOgtNJo MPMq2nckfVXhAfsuAlzRCdK04UJzIRVJ79Xdz2fgbejnEtk61Nfuipuc+yUz A0PcHgetElBf47mdE/2ycBraY0xOtdqjvnbDXnR+44FpCH1/TOrJJTQXyihc V0V+MQWykfnPLZ6hvuYGgQdDDk5BQZLFuZVw1Nc4wo5Wd5ZMwvrvfDrdnqiv rezS0aYfmQRj/W8Sp26ivlbkn6FiU4UHu/6syrrT6Lr2EwhafKyMB43fQmO/ pf9ZZ4uDpVn1OBCTePnpyz+ffyaacAV/FnAQNv9tCxuzh5zkJ/HVvCWBVWhp 2Ndp5JlzLudID7aTwXivUalIIOK8QpzkPQ/IEBkQW3JvB+KuCobZ5ybIsPem 2rJhNfLP5J4gKc0zFKi8J+h+2QRxQYtdvQr5FAhS9vlsM//PPvLX611vc1HB Cnsseyjmn/trOYpGNDcqXP5x/VyRNOKY4/PiHcNUKDuwSPb7gPzjoXftZ9JJ GkhePJnFeg3xpoAgx8UsGgxsFzz4fBmdryIpuaSOdXSg37Vf35mMeE56XWTk DTosr4zybPpnX9dVi8qXh1rpcEYZT3PoQf5hPfGnZucBBqRYpY/7OP3z97av Y7aaJDJgHcYZfIYd8ar1lhMqPxmAf3yq2jQLva68HYVzjYp0sKv1ma8JJEFn 9DZNsUt6QD8h4GGoxDzeGJH7x+2ZXlpab3vX9AYI7WaDWxfJcPaJ9EdLXRLE Gv09WHPJCdJ+uBSwKGOQCE9PySsye1znt9Xz+LtwJ7rsy6kzzH5HU08eFyWB o4MEX9q8F0Rm+sKS/jRU918rP8pGAvw1medWeD+YPn1o6rz+JDwkmWnGkjEQ sbc8QfcPANUkWDp8Bwc7rcuP6vRioD5SuW2I9ojpg09bpDm/wvKeYen+KmYu Wqq7H2EVAkqHx3K2bR6B61snYq2ymD7R23RfhBoGVmXratnlBoBPRb8uNRSD XFPl6uu2EaC8VVyITfQLBLIoiPg7YbBe1Lw2kjUaXGjdMxF6bRDfcf7qKQMM FDclO5SrxUJWcsArnmeNMPOlyezZKebvve6y/dHDOFD9k5PapPkOWtj29vNL YHBuyIm/tjke/LVZtTdVpUBwGiVzihMDe5k3YVor/3z+pL2mrk0FERyjqfqO HEVrfG+ZR5+PEhGErWolomLQ5ybJCjfJLNQQIFkr8FarCdp39P1GRGuMMgHM ZM/VkI6hfUfrM/ZxCHycAR1+3l6HPnQf7czl4iB39RkIc33h0JCI7qNpTb3U +d0yDTYuCY2Svug+2oukdgpeaxoue1p83qqB5kjj57lc9rVNwQRPrMqCJPKS hJSKzRPNKRjq1wjYLIi8VCuRuNexZxJas+6mzf1AeWkPm43ydd1JSKpRExij obzU0cdNURnCgzduzKWiBeWlZztSRn6a42HevS1rfQG63tUvZgqOfmXm66tW csb/3F+KxmtIs1jjQK1V7eeHR3Ro+X9MXWk4Ve/XLkWUKZkqIVEZkilzlpQS QilTJSREyTxnzjxTKEmlMkcaJCFDqAiZI8dwjn1mTVKod/8+vP/nfL2vc7H3 fta6932vZ61nP35v9XuWDH3kboOip4hn/PfunX9nQgEZd/fSnmMIX5g7/Hqx igLFNSfGiyiIZ55ukdq/g48KpPDAMwFJCO+St4vW8qdC32UQcZBG+BP/w0vl w1TAdlgW0t8gngmhqp3+qkcDySpnvRKWOjv2bYEz/CGejw/vZWz9ju5Hq+fF nn2cdHB8P+XhnIlw98EQrSZPOii1iTuMySHcU+hb0APc18rHPpL80YF4puaj gkeCMgPIXZcUN7oh3NitTco6lwEWyoMBBmwIf6HFzxv9mwEz5xKTRYrQc1+r YU+IcGDCDSedl5u1EP6zPWJVewcTHnzanD/Qh/iHU22S67cyE1zTa3xN03Ee oJSOXgnVh3B3lewKFTrUU3cPvPInQ9Xm5Gb3mjPQG7tqS7YhFUa0ancJnsV1 0dOUFod9bvCutXXbaX0y/F0Oe6NxkAzjddf62w57Q6zchYJGrTmo/9wXf1QW /31204+LAQHQe5m785gFEcLZXat7+fHruUQZcjwdCg2DJV6NZjNgXKwjseMX BuwJebrcEAmR25uFnc5NAUFtR5T9FwzOTA5tEHsZDQqC3OEKf78ARrJ9bvcW z+ty+7gZiWvwY98v0XNsn8HOUevP5woMOIvY59Mr4sFNYqTql9ww3OiWVz6c g8FSfsfw/PYkUDhxX89yxyf4XHW2KjQEg/DgXAnl5ymwWHIq4b1yD7wo32Jz xwGDVzdmm7RM06FZIuzIncy3kP9dxFnTCOexzUIE/y8ZoH+C8ePr9tcQW33y eYEiBrVjehl6O7OgaF1gaohzOWidK14iC2HgLh4Q4eiE+GeSZn5h5OccLBZs uv/YLx/F6dwz2bqAOThcQuEeZqJzk8JuhVRKL5Ng5kf9GDkY9R1dyQvLSAwl wUtpeUM/O9R3ZGM2oRL6jwiX18/VffqN9FJAeddPpXgiKK1EppJK0D7ao2+r 2SLXEUH4ocH8v0y0j9bzLa/7dMosSD3e9vSyNaovbdO9vLh3wywQ/sW94d+J /JoD3+/V5YkzcHFDE3fnduTX2mzfLnjxzYCXjTc7eRXiH3N6r/He9GkwPFq1 pvIX0kuftLTtQzZNw3ZKoMqtcaSXUvbszUq8NQVWnRdWvX2C4tp6gxefitgU 3I1yFfrxAOWNyD0+U9e7BGCj/rQzjWeZtzhkW3BtGwHGtwbLHU5hwrC7V1NF CRlaFWXHaPOIfwIiE+Y81lNgx+aNT/akI1ywWOsZw5sC8T/PzZbtQjjhj2O9 yScKvCzUmDz2FvEP+a5ZmrkaFWp+GW8wvoBwhtXAOpFbVKgwaM+M/svSR+QU uHB0hQrz6lL3zQtYzgdIi5PlcqGB34ZNXhmqCM8ZIJgJfaABR3udcWw34p+X 3jbklD10mNp1oJr7EsLHxC7KdubQoTlMyatvLcsc3NJ80cRPOlwpLFl8dR89 xzrZ/XP5VgyYvnLmyT8DhB9wkfq0+TUDbFUD30aMs5xz+1tajV2CCaJFfhdy QljwiuzRsHgcp7M3iwkg3C/kmPcBOhN2SpjutqlA6+oza5TYGciAfm9+7ZVr OJ+M+HzOczAHzTkRHg5/Gshd8Dumf4kM6W+neOt2OMElzZNH5BIp8IktM6bE El9Pc91ezj8e8IXiK58ZhkFKXlbJZS0yRBa4rF7R8YUbwmInA6+SIMF1deak BBnY3b3E3WyCoC1DWfXQ9VkYJuwuCFiH67Tv0tUq2lfhb9vRIb2MaXgoTHld QMcgwaS5bVolCkx/8zgvlBKgLKL7uOkgBo3OH/9Y3o2BXs3fH4eTJuDOwD9l gde4jjLdcyaJJw7Uvn8+J54wCoKk97td72MQ02w/VVyYAF7G+WdUagdh/K6F wVQSBrQsouQVgWRQcN5W+b6gD56dqjeu88Lg1MrLsO3VqTBPcObpMHgPvQaZ wrrWGIgkaaQeFsd5SfXQzcxHraA3JslO1MPgZpuu1sCpTCj6fMZzp8oLUFA0 Xr9NBoOgdvlfn+7geume1NJ24SIwf3Y96gs3BtLu7/N3DSG+YnTN26Z3zAGb vc/06Y0l/8MHXvwsyDwyB8/384WHPkfnJln9vp56rJsE2cKi1fY2qO/oLFmd OWBCgr2XCWYhh1HfketodPKGfiJkWivPbLBHemnXBdsHNTZEcJM+mOglhPTS pTtKSjtGZqGGoBR3gh3pJdM9993Mzs6C8invvOOdqL4UnJ1mYjw2A4eOrd3Q SER8tSRS8O+B3QxQv4Pk5jHEV6LzhxxfEaahYkG6ma0O8VVdAEO14Nw07P0a uEH+CdJLZ1YMDiiQpiDG5fcH1TSkl55LSH2QvzwFb5Xvx8S7oXjPmV/duUAj wNsf9cTNLD6mi/Nt5xdvAtx8+otWdIABFzgt2SkjZNiXeTjncTPimRLwY7zQ o8BXW5nyKTuEL/sGJrTeo0ChjNTGoQXEM1JTilbya6gQUOd+0PMGwntLpan7 cf3xnulXdVoZ4clXlpXS3lOBT+6224YexDOUghLCR2UaVC/P13W5IvzNl8Pj +fk0GK0/8frfP3Q/xH3fuxWXafDs/MP37rcRXvnDV/aZIx3oxTJesxoIj60e 2hfcTgchcst5yQGW+bUHdP98GQa4/yjfscoP4Q4/Da464/pPu9hKbB8fwosM QvZdpjPgj5WEs0IFeu6xv65Zu1oyQfjeJgOVwyzfC2iOaSfXM6FhRGjgMcu8 tMO0shLtMhPqavZ9NMnCfRk7yefkOQ0gRPfKPfGlg0zR663LQWRY/2vPTK6I HYiqsNccjKaCGR/PspgDGYpj3T0e/HUBsc+bdorjfi/deS4q6jAZQvcV7/Ao 9ILObW4S5iFzUKPW/iNGgQzDjkd+Sfb5w8JPf+PEFCJERkiUfdpEhjsemsS9 b0KA1nHWmTtjBlyq17K7/sFgfbFiLGUoAm6WfOY6XTAFnE41392nMHj3RjOX 3yMajMZKbF/6T4I/u/egdRcG4+r+7g6fYkGsV26YP/YzrBZwZN9SjUHNT9/+ NNt4cJgZ8fh3fxiO3hHtMs3FQIhzs37oQCLoU7S/RDz8BCUCp1Var2LQWqMf t98pBUaMLJ7YqX4Eyqq7CcPnMeAJMojo+Z0GSps2XhmL6oDhi+e3a5ngPHnj GRtHXQZkJPr2LMk14Xqx+twXZQwqdTc8SV/OhMg2irqe8mO4ndCu/EMU93fc as5BOjj/aL5PNF5yAllj+sK3VRhonnM/9coT1ZekjU6rzsTNgUDGnoGeH+jc pN13fwdob5iDuzPnOR1TUd/R7SCzhZlkEjxlNKdy2aG+o+ZPCTbNvCQYrtjH JhaN9NLY3PYQ2RtE8DEoLoxXRXopjatS6rUIERg247zVAkgvMaq2VcXcmgVP iVeBtwiovtTUf8i/YOssVExsP2n/HtWXVs5cnXiXPwM9JqqjWdPIxxWYSmeF is9AQqBr8bd25OPK66Oiw+9Mg/Sdc7KNL5BecqtoO/VUahrqxcvlqEVIL221 dsECyqbgvFnMGYMgFNfufH9WOytMgb+e/mKgC8qb8ya+f2OqCZARZ8HPZ4ry e8pjUM9ZkQAq6xTEZYyZwO/wl5IpTYFkrVtV6/wR/3CmjIjbJlEgi+dNiD4f S93b0yhBh0qBfPnjG+2rEM+MP3jZcNiMCo3fJ8dPmCB8/3m3ghO1VLBXV145 TGLpb/yXTk0RoUFvPlcVdzTC/Z6TovsiaLBz5olw52aEq6q6cN09QgdXF9WM xeOIZ6pJdx5LVtKB+uQ3+b/+nf/HFS2uJL/iYcClo3K8X5IRnsKnrxLhxQC+ JFvXLbII9zppFvvfd1nkDE2ErNpYdE7QoKG6Fq5ztrdZnndgmet/nmyuepcJ lGkeY5dFtB78MBzWT2TC6YX9ccZ5ZDiTLtv5q5kfSmq57V7jemyZc64sLIIM N2t8d3+bOQklKbyTxUtU0K1vLlZ0wXGZna8VM52hheupejE7BapVG9iEjpHB 9WxL8pVbnnByraeM19IcFJLKexZVcB31z2o5Lc4PjDiOmq9iJ0Gsb8bt0c24 znEfWP0hJRjsKjpMSgRmobDzRi9jFRnm3sveTEsIhw/PBeZNhafBuqF7JGYO g9K45crfPVGgpuqdcFEFjxuDO5tOfMSg/9g9FTvtWAham2XpFz8OFr7VW288 x/1XkUVuSm0cGHmMEXlvjMBjg2+LtrcxODb7ij9DKxFstrhvG60YAIOxU9on YjGwlsq2tKpPBtM2qRjdW71gXl5JPuKO85X235VfJ9OA8492o4VTF1ha/bml fRyD4xkLR3Z6ZMCq5cbm+MI3kNrl9sRRE/drq4p/KpdmAkGc3OZ0oRYufF5X yCmB8xX58Z6H9CxYZdV0f8gwExoiDjRgHBhUzd4M9JZCPMPJ9fCw1qM5ONHk 0h628vh/eHjFLy6X/+Zsoj06Ct1Q39EfzW9v8ipIUBBNE1ezRX1HaV8m7xvv IUHAzANZWxnUd1Tk0B+95SkR2LspzV1GqI5tp7HGWUOTCI8b+Uz5BVEdW3HX riufXs4C56qFvwvfkP7hWPXD0193Fjzyjy4Md6F6ke7itZz19TNw7cNWn93O iGeMVQidGboz0PTMcprdAvGMw6mZr2LN08AwbvEjaCCeycwcPbT7wDR8jd+4 NVkW8Yxu2UDO8c4p8LZrFNRZg+I6Q4R3rsN0CrbVfX0dMYfyYPm29vnXPQQo fc0emjOI8vJkfXfMdgsCUCYy2WfaGWAgQfk6YUMBm5DHj17pIz6ZPy38bc8r CpTtj3nk8YXlXKOTQtJbt1LByjDWPzwc4S2V6Zv34e/lESpXpLMIwkdDM9q7 ZqjwZhvXwMdnLOeHaL8ZFDClQca5kda4YwjnXfdon1MtDVKyvp3XILHUuVzC UnUE6cCtuo3b/hrCdz2POtoVSgffGRGL3m0ItwvhaeiboIO+RMpExyvEJyp/ PBwC9zPA7c4eLakzCFf7bNh5tJgBLo2WfeY/0XP8qPSQdIOdCe/dvj9hy2HR OQHqF/Nw3SK847zSagWW+f33oTpFA0xI7dlm/7sNrVP1tZQZdlwvCl/eI3os hQyqnwjB+44YgtiJnKWHX2lgrpGTEupDhhO62O39JucgYXgpepqTCo7OtpYb 7MhQNVO1WezSRfCr8BXK+4vB5esCqxlABiNd1yhxpjfoaThtVvxNgrboL1v4 duL+q03j25OtgVBMvGcoIEiEsOSq5908ZPC+VNCZ/TMUYme+h3nxzMCePB+t ye8Y8DVu1rifFQluN4t3XJSagrp113lPfMb90bJf5K51MSBqduXenbgvYNdp kHu2FYOvEkb3XC5dg85brXaVkWPwpHoj83YpBo7GuTyZ/+Ih6PTwV2bNEMws 6eVDJq6L5AOuuFxJAun6DXd2FvUDj4mDnFogBsoHGHXS61NBlOu0va5SN8Ra 5exyPYvBxWdxqx4UpoONwpyE8912OH31w0MNQwyaCvxeE9dmwqqtF7dioq9A vmSR+7Q8BnVBPp50c5xnTNbMPs99BEP7YtonBTBQVaq7aZyIfBbTZeXXV9Ic jHi8qCI4FP0P14/nl0x1mYPQ5keGkxR03lHv9aUZXjoJpDkEKn1cUN+Rfl2Z 3F4PEnTbXV/+Yof6jr51KvOozxPhu2velWRvtI8vcMXbWzMI1zMvzoYZiqN9 /ObPVlMGv2Zh//eSPvONaB+/Sl2Qrnp1Fgb1IuehB9WFQh5cD239MwNM/hUb Hxfks5rf+O1MDp4BvvfG+isOyGfRXNxOu6yaAVutUJdJHeSzFiQkNxHCp8Hu +/LELQ3ks/Q7Hrvor52GyGeHtE1Ekc9aXrOoU5AyBccMjIqP0lFcG6wjia3i noKBtjQVLyLKp/eL5fnGWQTwM7/1ILEF5felbRO/H3ITIFrprbprD54/lL4t Ax4UiHncEd6+h+W7bITalr49VKiqIw51eCA++Wz5WIrzOhWaDCkBmWsRvilW cVMu7vPihTzi2LRZ9utXn5patwvngbxDdZk+LH3RF47vJDHp+HvcyLe2FF33 Qa+wHEkLBljLbmMPPorwZ+7DLnwvGEBUbFFJmmbpcy4V0uWLYkIxM+ZskijL eWjzIqdM8hjA9WHs7O14PO+eCf1tf2sKwofC3m8oo0CB+tvzx07hOuSD3fbH xz0g1vnnpdECDNYZck+u18F1QkxZtA3ZB6rGLISu3yJBQvEEj+N2MnRezJUx 3xAE41zce6jPZoHowpMuyoX//vX9Z7dIYZCSMGz+qmoatPco/5JiYtCo671+ YkMUYOybHle/n4DvFdkaNY0YbAl07uaavQZKp87o3WsbBYZZix+lGIOMwHgh SmACeAlfqOj8MQitluZrr6XgPmWv9kl/DM9f7oLAvRN9cCxyxemkDwZ/6W7j 1LhU4I96wD8g2wbuX3pGr+ljkPtT6t2yfiY4OPg+YH67C09bKN9O82IQlWwt JdSK8rFU+1mUmPkc5CjUlX/rQuf28FdwRwdakqCUb29eSw/qkymYr9rX60CE zpX0vM5BlEe3F3kfxV6YhV2HllbNx6O6hMtGk2PyTjMQsuYV83YDyovV1bV7 tVyn8evJXGeZw3I+83bX9kP+U6CYweffZYTW01Vs7RazEAIclOtzyZBkQEvH jcuKmhQY6WNT8HBEcXv60DOnvSsU0D81q+5egOKzH0uUaHakQmc1X8ioBsID Lw2bRLRTQWpPy7EtAyhu7/k77QB5Gizu0Aiw82Tp1x1gtO/KpgGtreyTNwfL Pm+s13al03QwFZINuqiH4pzJZ7Z0V4IB5Ykmhb+CUTxTdaLlqDEMeHxW5EqV EMIFj+ztcppjQNwJ9171J+j+W4c3b/psyoThNxFxjaYIT9I63UpMZgKh5VfY +2zcv2973J+WrQKC6XcW1HLocPpPPBSE4Pr5QoRf1TsbaEiIX75VRIX1f7Rc 7jqSYerSaNOR8y7QSdIp+3ePDNZ5Yk47jcjQ6qtqqmfsBZ65ZIfcm3OgMKUn v12RDNJHk4PCwv1h/QFN+9rqGfBTJ//i/O/8mcuViZYxEWC0P7AjomYSGnKW nYfe4T43LHJcvDIWbAxtjWMIwyDFySfUm4eBdNMBv+bKROjNO3ZE6ulHiJGf LfK9gEGt29cveb1pkCFw62yzSDNwvrZXi1DFoOLyV4O6Ofy9k+yRK+AcBGnW Bm5ebBjciFyYKDmNdOzKjpen2wXmgP+05h0xEeSLn7ppyG7E4+zJpw0qA6Oo 78L3hj3VSZgEgn/Hd+ofRr6Ym8Os4cFtImwi7ts1soj06qrrbLWfJYjgoiIr zvkJ6dW/3A6FIvdn4fpwoq3KA+SL+Qura/t3zMLdD+UNy0nIF3fHwPuxuzOw 5HEZFluQXrXdbif+8NE0CBprNrzNRbp0lhqVTa+ZAueNWUmrTrPsd0k+sBao I8CZgRV3L0U6rO/3itWLpUB6x26h00IoLyZnxb92HqHCq6chJb3HUfzLOhx8 cbCSCt5aVtOnaCieHSrSLp0LpoE2ff0ebUmW7z21OK0WO0CHt0PqeVdtUJzT 6z/yt61jQOWXroTBTBTPwlYRk+zuDIg9uKU+ey/CiTZrRLU+MuCZ/o0oh3co nltsLq4uU2HCiL5SHtOFZW7uKc+T9ptMCCAmz336i+5/vOmzjL4wA1TO1/SI ReG+T7L9JWeuJVwSGq+/tpMCwa5fp1+a4b8fI4wLfb8Mf64yXeq24vybLcN+ Q40MAaSbVymqfnDm3VV+8R0kuFZ9acvprXi+uC9x1kIw+MncMzRXnYUKs9DW DDY8X66X3PmlFg51zjZNpriOH+qTu9/bi0F6dmWxqGAsZPSVqxzrHIdik0Pb 99Vh0P0+npM7KQ70u+3asvpHIKEcOzRRiMGZW7OHBgVwP0jad/kKYwB2p5xc /nkNg8jGubgzGclw6NLdY0WfewEbnF8964GBnXzl2Rb5NOg9KqnxTrIFXnYL x7NpY3BXOSnOLicTmvscFr3/5cD21Bt7XDgx4ObYteocH8qLk3tfMOaV5kDH W/CnUBg6b+TA3WfqdDUSzF/74XO3Eu3v97TY/DilTwSRvDOn3QZQXdrm/bnK 8kOzYJPwyT4gEfkvbgmj6C0tM/CEdmok9RCK52fy6cLCh2bAvL2nJkkF+S/e hlephzqn4cvPm+vIIijOx94V6rcbTcNBKXmR2g3If62Feej8OAX+27oNfhOR LsrfbEkgnJyCJGH7x29Yz2n2udRgMkQArw21gz9foDj92r1hMMOGALmWHhH9 uN8484jb++QJCuh9S9lteITl+yAvbilJ4LwsPr3iFhLLMi9G+3HsRSgVBiuK Taa3Ibw9yINQP0GFAUnFl19eoXxpEQgVjTakwUiceJTISYR3GoYfOORPh37L rTanpFmuz/kDMQJ/P5WqdddudkL50rT9mn/vbQZ8DhSU7lpC99lm9U6a25UJ QwYf/VJVED42/izg3yYm6IUz2z+k4n7nXHvpiSkDUFAM79HeRQUx87jX6TiP 0N5v82zsdQPJulv5wRJk2Nd1ZCrrABnSQxZKv970htnqGbuAzXMAe22OV+zC dU55qC9vVwAUnOkJEFGcAR1xa4Won7h/2TH6ctgtEiRr9vO7tHyBu9Y9O8fb MKi6YCkoc/gaeL227vVlDEGD8z5iSxbua6YL75cbJYFk3DCjYaoffizb04aD 8LyYMKDJEVKA09bm+5qabhCLGoY15zAQeLjP4Yp/OnA+rKmN2vwWgjV92OsO Y6Dyua2n8msGVD+X57y8rQFsKh5OLSlg8KzU5p+QThboy76uEw0vhfh32QRn QQzMd4nwDPkj/YOVPlS8wJiDYa0DkZpbb/8PD9aYKb7nOQeOakdlT9PR+RgP RV915v8gQcxV0kHFebRPbV2SffaMLwneA6GodAztUxum3q59GkGEeDvm2hsz qL7amGM10RE7C0sLZv1DWchfZGDqgreiZkCXGvvQ6QDLualxi1Xr4qfBqnDQ q1gE6aXWvE1zAjlTYMVu3b+ul2VfsXvi20g+ATRuG62iFtOB3/6uOVcQBRJ1 Fo9mbEdxTnIi23ZrU+GpejV8sEfxzGb3myZzlwp5UFThu8jS55b3BUIv0cBh 9Stb8T0s80rTp79uVKND9Iv9JfEXUDxfysjYOrhEB0UurvC22yieux0vg3Qr A7o1FOz8h1Dc8j7eGEhJZUIKJV7q8QaWOfaR4NeG1gy4LXJY+GwsrudXXMf3 rVhAs4JCq5EbBdZ/PH1/zYn/fP22CKd7l0CtoXDa9UwfbJEPVBG7gusH7g3b rEdTwYs4vcNcphUEhnyUDu3HoCDbqqTcPRP0u+7fLfEpAMojfX7HDRh0GMFG bTKKk79q6nUc+nPwy8zFYu19dP5A6U7HMyqHSND+LpNdpRHt9z0dXSOUbUGE ReOFYNFTiD//OGrIiZ6ahUMuc3trORF/ponTayQtZ+D8bJtFzi+07lf2y2r+ s56GcSt7vjW9aN0rt030C1yYArtP6lmGCeg5KfyMD7xykQB0PXHfGicGpL84 fuWAIQU2TB+RsznJ4u+ulhzdxYX7u61fzX0y0LoX+mwXvt1HheWdQTHLHWh9 VdoYtx00aeA2WLak6Yhw7guBytpudEhTk3I7p4zW3Us7dT5DngFy57hLOT3R ug9WremdwP9fO+V61ytOhB8S+Xbruy0TrKIfrTwAdD8Bn6MvUM9TIUeakJln j/u1giXhNTddYXcxaYLDbg72JZg0kuTIEBqyJqB9RwAMmMW4X7gyAzZykgLt ixiw062b9IUiQTNwjPpNaxIUA4iGox24/vx6cfHu71hwjrJJDXUdBi91qatd 1zHgPD6/QX0pEbDFE9uyn/SA+dBZLx0nDJzjsyXW7kgHAr16KmBnI1Q/ZUve r4RBzQaZ7a4bs/53vUN7f98yWZmDLatI7Tt7rv8PPy6unfV4zRycuJTu/WAN 4g1F9VfM+swZKJT/7bOHDa37imUpySp3Gvb9iLvxbBi9H0+2GO9fdX8KTif7 KcZeZz0f98CDnyUE6Na8/6zyIh1GXU4mtJ2kwhsVw42Dh1i+x+eSGuX4kgrG qtyimgS0jvHNevkH42iwadRuldUmhGfdv7hxpxkdOBf2JviasPR9EXk5ajcx QOFpUjbpGlrHZfP8+WOfGVB4dFWpSSPLOj7an6Y9iOvGKrH48atkWDCQyv2s ZAVif5OftMySAfsXJ+VlQoaXhPvaXQevwNMk2syuz3OwQ1sl77Qy/t4R2RSq OuoHuqr046u/zUCGwZMJ038YLKwuz5EZD4fq1UnH4wQJcLR2U+yn7v/29XKb bznEgimX3bpk2xEYGl2qGLqFgf6e7HFjB1x3iRXXjdj1wvNI975yNzxOjM0L 94SngVLVWWNDsTfg2F4/0ayOwaOPr525GjMh8qlOYYBoMlj70Iw92DE43srL jNmH9FWJrKbM5+1zMHl06kO2HOr3/rx1/cYSGRIs61sT+G+jevhceeUnUSUi ALFFt84S+YinaglKoDYLV8uaUrXWI7/gJ/SSPNY8BZdyH5PCJNG6W3Vxrt/b QYDpKzaSqt9psDu3w8f1HAV82Pp3qmiz9D9/TRMR2U6FtJL10dFBLN8b8pQj Pkmgwme5K09J/Ag/4bgu+/4JGhhpZnEsHEbxUJrDsbW1jAFf12aHDzHQ+hre uFcp7ceEU2t+Uf1kWOq0iuctuEcYQD/t4d6dhOfvkeWjopVHYDYyWCOJQoEH wQrkOBucz5egPXidOxS+JgwTR0hgNOQ86y2N+82J717WnoFwyX1zTBdtGiQE 0g7v/4brDVu7p54NkcBPLVIbNf4Cglov1k2+wUB1TFepJOsahP222nTJfwjW Zxsda0jHoNfvmM72G0n/u651w/tvBdrPwXVTDqfzGJpzlOt882v1eRI0+Rvb CH5GdcUpC8O9DV5EMBT68P2HDap73BnpW77jPwuP4mp4S7lQ3ePrzSeaod4z MFnGP5YbifLa6OWRwLqAafAwkjbJtkZ8rnplPEPm2hQci9AKSF7P4nukQ/Qb kgh4fDOMd7Pkaw/XnRKNtQQYqac1BDKZEFfVGbP1FhkEqb1C4X/Ruteo3Lj2 fIkMZJc1gjO3EX7zQO+oijP+f2y6mlz2IVzcLmNooJ0CYcDV2vYJxUP1FZXY pzJUoMi6ChF9WXQC/4FY/1RcJyTaCElzI9woKd80lkGFE3yrjgmVo+sODdQP TLCmgYSUrdRGA4Srl+7YkdZIA+d5/4ANnxHPzD61yJ0Sp8PzWSO2uhCEnzCh nBWOp4OR2WOdGAGWfQcqV7cXRgf9qvQPu2tY9jETNtA5jfD30ca0iozjLOct VAefi37MgJNkCW0RCnruG58o3zzKz4TEOdd/5oksczo7NTU4gpnQ7+PolC2J cA5CyKm2SSbkvBQ/NPgS5ed009gnRjMDPjTkJj1IJIOQsePF8LijsFtu5bnp SxqY+9vqll0hg8Txz6Yybx2g7ERVtcwnCli94Aw7bY3jWDMHRLhDiu5wo2o7 7vfOSJ/n+2+O4gLMro/2gbcf+w9rvyHBu/l5ssEOMiTJJjCYZYGgv/0s8dWX WQjkLf8rtYEMetrRy+LhYbDY0Dk3NDANvlzvGtd/xcDIPW1K6HMkPN19484+ OgG4ojsES0cwKH3jFqpvEgOHDn9vbxL7AmdCU/6+aMb//yXyFtnqa1D0MUzw CP8Y/D3+PLvnIQauZ+pvRB5JgMjBHRlth4dA+kn388w0DPdV5wVXapNA0L5e rWJPP6T6H4+y9sNg8OaaATfLVGj2oeVzHf8AQ7viqAV2eP7usXHbSEoHfak7 0o8+tMHd8yUzaQYYDD8xiGDuzISin5VXT556CQ1he+MTdmMQ5B1Vx+OHv3/N bOrnDxeDz6brzZr8+N95xsGjV470m+fQu7am0TkomOt0Siy4/z9crbBYIslm DgSs3xcfuYfmB5OEpPRrJ/Hnmt98l6SB5ge9JnNfsp0lQaNd33cxLVQXtdnm IjkzTYRA9mDh1WNo34H6ZbP7gjsRbvJUl6vHId7g+97OrUSeBf5/B9geRqB9 h5bnQv6dV2ZhvOrRmgANxCcf3GOkPGkzUCm0TvleIdp3UOy6wMj0mAHikOD3 1lzEM+LD1AjB79NwLDBlvbAXy7yzhrv7a69pcEypYWO/gvhHgvuAwa+FKTh6 ++bTc6bIXx9zXlk+HzEFihzD01u3s5w7y/eE/9cKAdpmmr/6ibHU9Z9mwmgs ARxWJJt0ftFByLS8y+Y9Ga4dY3zU70E8M/M1KoVNiQJ1j0R4ci8iPGYjb+W6 6xQQSUimZa5FuIP+WZ+nPymgZau7i3gf8cyNQM6pe7ZUWCuVWbcACC/afbGS 9hrXsV5KtIrPiGcS2t6pr99BA4HBHqf0AIQLd66S25xMg9i+vCuRvAiPW69+ 7xGDBoLp5399LUP3OaJxaZjLkg4tjnta0g+zzDt/sXbveEGH2/UH9vZPIZ6x v85xT0GUATprs39dikK46MmNMZ9CGRBtmCD8dhvL9/JS+t4MTjLgJ3fncOtL 9Nw3VWe9Lj/EhHgyxzj9JMt7Qmf3Dt8KJgTYewfsZNkfiiSZvTpbw4STNnLC 5bhebP05kPNYVhYs7J38RxroIE49dKk4DP+9kkxZkpw1cPpT7JLeUsFP4hsl 7jzup/icSwXuXgC7n5fTN38gg8DmcyFqxmQ4sab7KnfLFQi68v7J15Y5eLto 9VhGCcflJMcURfxB+rHCftNeIrRw8q3RECGDrLzFsxebQsDdJlE4dnQGOL7E uW76i0EAJbl3aEsE3Ciy2/qdMAUDJzN/jMxikEDgeHpwUzSIar3s1ViehIF1 HnlPP2DQmc1LNb0aCxkT0t2LQuPQWEfva6rFYL2wUuae5TjobQqW3K0wAiob 1qg9vYnrw/t+P62uJoKRf/tGAe0BYEiNPPSNwmDLxqbg92tSwEa8nZAq1wst kppNAa4YJAmlDAndTgPOB3lLYhmdMG5ms5BvhgHXjjLZzpQM6K3N8c6ubwZ9 A029hH0YkOU2LpZ14/4x7K1c96sa2DNcVnVODIM7dYkyT/iyITLk6B2e6Gtg UkLbd2wtBqZlDzr7DiLdWHxyX+GmfFw3DtjkXKhH84MJ8SW/VcTmwHz+zdYj MUhP9uWMlRwtJAHV+2JEphaqYw90kaUYEiTYc+RM6dgC0pnv5Nn5Vj8igsM8 tS/sMapjH4+5PLdajgiyBkeVA2KQ/sxgq03KqJiFgf0fvjPsUB1b88yLKGHF WQANm6ZobaRLLdR8njLKZ0BDUP1fwC1U9+tZoUe67p2BeDvdwNsxqO5Xc3f3 3eGaaWiX6PDtu4J8jfll/ZRB1Wkgv5zd3n4W1f0mLjiTD7yagj3XpA95qqO4 /mc5qFKgNwVEAT9rbgmUNyMXdxyJfUOAbH8rMXeW7w+wid59Zn+AAIvmp+ab /jHAbOXlTu1aMpgWTPqcIyGeMRbgThwXooBFfCr/6xiEp8leOXg7jALcXnJW y2IIh+6A4rYJCpz+IPVz4BXin/u+t5+UAxV+ySyT6LYs/ktsULTmARWOXm2L xL6j63Pb9eRABycNVHzmrPszWOqEd4p6Lbxp0P97sdNoN8s556MV0zeHaNDQ RHv+t4XlO+4B9i9+atJBd4fO9H0HhO8W2j7reYcOvrFBz+T+sJxPrp/wwmwV A/RsN04b57P4cU9eTYYjA07JJzuWa7DMOxc+4K/oYID00vcEeh/iHwHl6fIQ OSYkuL2gi19h2Z9VUqpsyGJCsdtF2jgHwjO+3VJu+sWE9Y9WXMfuspwPk15Y PKPHgB+WnkvSMbivp7gzZxeOQ97H77hLoYHTuwfZeRdxPqmWWLqleh7YpHmL 7phTQA1TXeqwIEPdz8MtDyQvA5tVX53AIQyelu1PvInHTWnH3smCD77g1/Tv QKsRCd4uRyzobsP9iBytz3IyCPp1v69InJkFvQVR1VtryeAoEE8K+XAVOqsy VxPtpnE+qxz9SsF1zoN37xQCo+Ce0+/WEn8CMA7lD1X1Y/C8TKf28GwMYBtT jp7ZPAHcW/ZjOvUYWL/htpK3ioO6I6E3NcRHIa9q/PybIgwUI0XeekwngMOD HxYe+oOQSOmvYkvAoCpq45HZ08mg39i0fptCH+x+f0hy7jIGsiNHTsFiKhCS W4yzvd6BrQ7T69ZJDPrFqJ4YZOA+aLPJ7dYWmD8xn7FBF4NJRqnOsZBM4NfS HshIeAY/ZOlb/KRwHrvOzpx8kwWRFXJSfo/yYXJCf8lgPQbNe4co8b+QXkoS iqy5+HIOPI1eG5YllKO4y3qYYq89ByO3djHcT6L5QcVT4X5/G0nwif06f4Mm mh+8N6DvGaRHgp+9N3qWRND+QkbxM5FvbUT4HqLyo7EN9cNvq2ndHWZMBPKj MM+hWFQ36w1pMCG8mwVP8XWhxpdRP9jVRJdQptks8HyPcFzWRPW09I8hHoof ZoCRI57HvQ3x0tWZ0hdhx2agPm/3s2oexEtuukn8Af3TEP9etuk7E+mlgBOn Qo+emIZdO0wELpCQXvpb139dbHQKdDLPLbu8QXpJ5gxZZNW5KUhLkdkmyDLH 5tNAKX89SYCSig3xzCyWeV+X/D9bzxOgYuer4au4Dhi/WXApcIYMjX+XFaSe s+xH9P1K321MAYnOu1ze5ggP/F0h7FNJAekiWvQuGuKZ6NqD+sU8VBAlnbL9 mYzwxFBfvpu+VOAX35n0TwbhNLWVA7uHqFDhXGDt3Yp4psRxRv7Yfhp803h+ 2fQMws/PO8RMFdNAo1RTuO4Huh9FnSbHpxx0uGQ/pkFkuc8Tv4N/bbuM+7Ui iXuhCgjvL0mbl+ilQ+f8+tLgLsQzjpTYlPVKDNB6LMiTfhHhdC3BnrrrDKg8 d+09YQ3CB0JWfP79YsBb8YKdN++i5y649+DHcXvcH7tbvWvQZjmfylAyX/Yt E4xOBq/y+oT4pz+x1DNQiwlPNkmdq0gnw/DWwyaMVoCkPTsPd2vj1x+9dWJH AM4b/pPOSvZnIGjLlILsMSrE+ekZ+J/FfZZniXUirxs8fdsdnm1EhvmjSb+L DpLBO6G04KWyN9AS2it6D8zB6GGvwWpZ/P+m8g82OwZAf6Gt5qA1ERoFC/mU N5JhSf5p3lajUFjlJ7EXs5qB7vYft5J/4X7N0ehsvlokOGft2LfadQqu/fHj a/6C+7WtB2/bPY6G+YqIzeI8k1D/Tteu/i3um8KmpCyFr4Fm6WuL6wKfwdO6 8NXBSgwa3S0/7L0XD7MaQQ9FtYfhg6vs2kc5OA909EkbiCaBkuGN/jrVT3Dy 9EThbAgG14ouVTwpT4H55ZzLK8d74GyAvD2HIwZzJ3qtaQfSQanRs+Lh47fg 6PQmNM8IA33Zi7OPRjNA8re40qbzryFdOZK6di8G312CnnJuzwL9iAdsm76U g0usm4GJMAbK4zxnYs8i/inY/0fl2a85kFDv9OBJzvsf3pxNSXodNAdG7J/Y A6rR/KBKWJnLur8kqBXwarY5g+qr/gPqEzlXSfBjYj/DRRvty7A3ZQ2fX02C +i/8LeMUtO+/pvYkB38iEQYuPHisfRPt18SeEnkYz0UEr3GhH0LRqB/+RFJp l37aLMifzbyUbYT2ceYVORP288xC2/68tLXiyK8J5F9cqUqegbDsYy5Tm1n8 mqiK8YmNM2AtZqGV9Bvx0hJHh7JW5jT883Xe/ZiJ9NLOBPnbjkLTUGsRriwz iPRSo8CCruvtKRAJJif7l6O4HjV5c0xTfAr257dkri1kmW8TOTNtfJ8APnp3 a2YjWM7f7SrxuitBgEPBTE62WCZQTh0YlHtEhuqDNm2e3xD/XJU6Ht/FSQGx QCOB3gyE5zy7w+vmRQGO2d9JyrIIr8qOef0B1w1UduHxDx2If8q+um6tVqHC /CPlcLILS3+CcLJZNq5LvGJ4TThWIXxkRKbjwRIVWpp9+7/fZunbSZ6/f8mZ Bos8pT8V9iE86QAWnfOOBvw2NcLsH1nO07tu/YgqT4fFNQbfKlnOR9atZr9r kE0He3L2ohUHy1yh0NGWcz/o0BRjMazFModpt5SStXSSAVDIva7wEIvve8Sn mYvrQt1viY5sXxD/ZH3l2uG0jQlcJekBGmEs33mRV/OZusaEV5cv7KrbhHCT i8mtb6hMMFfiHRquROsa/khXlxzBAAfONQcvxOE+O32rtHS9GRDCFiUKwmgw cuef691LZCiOXLlPWHYEKx37EqdMCrSZF77aeJIMNEaM87ePHnD46IDO/VgM ytYoLwxokcH6xospy12+UHDkYtvfWBJ0BmjOgyQZFmS1CdsNg4Bzb8nXy7dn wY5tWnRyHe77HsZ+NZW5CrP7Kn9M5E6D6biO6V86rk/iFay2y0ZBWXuH8pUa AoSdr/5ZPojnu/qJ3NbcGBCtaFrHe2sCnr5z/h78GoMl4VBNuTVxUL0hzBpy R8Eksmup4z7Oeww3xYWcBPDanzKf2zoIVma9KsbJuL97WV85vy4ZpHlf35mt 6AM7yfcWEt4YxLx8IDjwIBVsIqx9ehzeQ16NtmKBNQbP8pMzgzZnQHXcuIZU ZyscPW2qfQwwGLMIOFtokQkOIj9Kvnm+AFtL3uPhMjiPxbR+WriZBav6n184 lVoEJYuUif08GIT6MJac+hBfLfvLvMrpmgN20YMD+VmP0Ps2T8bK7+gc+AcH H7UNRfODZ/ZZjNl8JEHPRznb45pofnC9HS379TESvBNSc0zZjfYTfxB4Ciif iLCv+RS7gznSS2s7PY++tMN9tp1wahw70kvz6gcUOMdm4VVasV7QAqovSUjq LZ4+NwuLvdkqWnWovrRn27/DZuMzYDGY5Tw8gfjKamidZfyZGeh5IX6yvh/x VSuXjlH79DS4b/88u7Ya6aX17ZM+MY7T0GYdvv5ZGdJLadNcNC5sCg6JXLWZ iUN6SdvBd73KlSmwO/r3Xy7LHEnjBTP7MQYB1I1cdJ9Ys8y1pArd/uNLAA4B z/dntBgQ/H3HVrdhMmx/6B+u3IJ45vGUbprQfpxnXpzZEHuGha+uTUzp4vpA XLDhxZlFxCfzwRa2FaupUCJxVJ+ei/CM3/uDCl2osL7o9PYlFZY+EMXawPXv qDDgTtqe/pFlH3yTdY28Eg2i4wywyxcRrjtebbWSSwP715hBwWqEj937s7rq Dw2aFwpzqYXoPm+I+s5tcqDD2qidT65pIXzuoG/ld1yf1Z7aSXvA8n1TQpNh 7lZpBtSPWrKF+yN8TUfW7rcJDMjt5/D+xI/w1zGuNylUBkwIqfyrqmSZ22S6 H247zoR1ZYqWg0cQrqsvbW/2kgn2tv46JgTEP7s1l3Pc/ZnApv6wvjwL5x+T kfXnFdSBYdg20R9Khyfq1dLOwTj/nIiOP9tmCy0dxNbRRCr8PZonHO5Ahiq9 uFU9wy7A+WVbvFUSGaJqfrykHCbDevZO+rlEL1AK69zrGD0HH++cN6Aq4L8/ nTcc2OAPyztb6/lziNCcZsWlJkiGDHm2R+TKEFBzGZBSz5sBct/rqI9/cN1i lda+tiUCwjfD7j/3p6By15roD1MYiPwt3m3uGA1rfcV+lsVOwmGyZfCLLgzM ORc5ertiweHgV94jOZ9BmPPt26hq3Pc1v6lSNI8HwlLQecnaYYjUEi6ozMX1 1b4dqR/eJYL+xB4f4vNPINU0JqUQjkH3iNCmJusU6C1Iz02x/AgZ72vS9Jwx 0FJTFIlipkFRzZqBqTsdcGeEWyvfBAPph1zrNGszIFKpmGvbpSaY0xrPOayC Aa3z0JDtr0xYpbu5YqjsMbyrTAw6tRm/nnfv9W+p4/yjyKsa5ekOMakGlidW Y5Dpmvpi4SKqL6n+SM/BEubgB02o+/IzND84HiWrtI1nDjJXb2Z8vIL6JO89 5TzITCXBv0ef1Je10Pzg5UN6KyX8JJCOOrdBxhfpJRdmRRJnHhHEyzubP0sj veR+qeVt22YiWKQ/FnjLhvSSz2HFMjf8vRHUraj0pg/Vl7LbJ9eWbZsFD9tD DMNXqL5UQ6KP9NyagbFPb1QqxpCP+7U+g3hGcgY8dA6PZDcivWQ1EHgx4e40 THcJmTU/Rnqp/s+znFvS02BxrUbWPx/pJTPdPdknK6ZA8h8H9tULxTXN3ETf XXEKNlrd8kuwZ5mTa27KcX1CgLVjSy6PDrHUaealN0UqEaDQ+d4y4QAThNk6 kphSFIjN7ectC0D8k3BbL6g/gQICy3bbO/gR3svhntxApsC7rL28E49Z+jF+ 9h99ZIrny/235t9MWb7nIiUx01NDBanAkOfv5tB1LPrrNWBCNLi34/REdQzC mbUWK2rhNCgnGhU4b2U5V8v6Qsc/QzqEG6j151sinhEI0d11q5wOCRJnff7S 0f1PuHdU7OdmwGvFftrpVJa5wqn0CYInAy7VcTXUySE87boOufkTA7jX2leP tLPoH696tWwNJnDKTjpzOLHM76grYLl3mJB6/nLN6j9oPUZy7k5Z0JnwIKTK uywP1y3HiebOlHXwPGAVz5cVOiTdGa2djSCDKk/nhxcZJ8FCivlVew0NqD9M mtJdcN6YPHDC2t0Zqrgbc8d5KHAvsks7/BjOV8tckrbentDg1LMveg0Gr48b izmo4v/396NxorcfmGrcaIrn/m+up2NZawsZWuUKW68FB0ORsd76/i2zIEUx P2a9mgyu4YmfS3zDoXpXAC9t2zQsR0m4EudwfdLiBprtUZDzT85qWosAjjuj X9R8xOCghMzHLqVYaA60SS7LHYcLF4UmVp5jUOVR6KtQGgedMSETex+MAHGc +b7+Ngb8Am/PTu1NhJM8Z2v0Xg9AQ9yg3CtcrzkfdSMMP04GI88W/1PlvfDT v5FZ5Y7B+AL5eplxGnjl7dlhE9kFW9vv1948jgHjjrGpjQvOM+bW9qJNbyDP OGeuSxODqZSJzcv3M6HILvKf4r1ayFz1YfaiBAaDD4+s78KyoPnpXNB+tSwQ br0harQOg3X016MV2xDPiDwbe6RXOgfCwRov6sPR/KBq6q5WI/k50G0czArb g+YHV/lX8BZXkWBY51/HTi00P6hjft1IdS8JNqb81vFYh+rYCm5ns38/I0LN Pr6Zbdqojq15U5QTtImw+ue0+c61qI79pFHDo+7VLAhUXXwhNovqRWPf0v5G 682CnNCljKaXqF40H7WQztswA5kny94fOIN45sG8iZiP3gzcC1YRfmSEeIb7 yujIzpZpKPEPyp/ei3hmZvJdDN/BaYhjiGwRkkI8cyX9Fux9NwWKGwyKKEtI /wjYnJPpMZuClx9NtTMmUR7s3BT/u6iXAJs31vQp9LD4Ethms/8EAU7ocM4W vmaA0ZsnmTrWFDgxQlpnb4D4xOtymMmjlxSQVdhm9m0S8YYAXX1XwWYqJFQ4 +axEIDx2peTh9UgqiBTMf1uzmeX7LDpHuA9PUyHO/kSq5QvEG5rVVx56GtPA iSz7Xc6cxWet3VjdXoP7rOsJ5E9z6LpjPsW8qRegg8hboZEvcQjnH4tctzsE z98m0SxvCYQ38JSpmo7T4Usy88Kx14hPpgXbon7rMKAudlCk6CzChyuu+5bf Y0Arbc1OxgJ6jjTvbBPBtUyo2sVhdu06i87x3Grz04MJHPLhB4r3sJwPbCw2 sPYTE5TMr7bnvEX8E/LZyih2BfdZX2+vqUwhg97CaHtD5SHYLZRQ1fGbBuPd cddnfPDf5+karFm0B5XL49eDcL3Ff2f28iU7MtTdfld1yPAi2D++GtDLQQb7 aQkta30yjG9INtk05g0Pr7fI6q+eg2l6mFvATtx/NSb0c60LhBLh+Wf5W4nQ cJMopMiL84yCS9Kx6VD4EOWuc1NoBmpeyj8/8gODY7ld1koJkWC6gdOAU24K 7LtJBbWfMdDUmtroshINI6Tp/ZnXv4BChYzO61YMHL++0xtyugb8fElZMxlj 0PEwoJq9DAMhISJZ6Wc8zPsGkvnfDMGWG7qXijIxKLaNbHhxIQkkK/+qpFT3 Q/yvyS23AzHQc2s1fPgvBfjP3jzoadENctsf7Ok5i8F1b58865x0aH43GuvR 1A5SNP/GXEMMzlR0vhFZlQmEN/lWXHavQF1W2qBVHoPFtRVZL4yzILJF2dZ8 YwmwnT7CfWDTf9/lNA+8HIt8VtWLR+092ByMX9mxU2LkDnqPqxpGZbnNQdi2 DL3wcjQ/GBcgf/srgwQ/dnRkTRmh+cHDP5wDtS+TgFOw5EGfNurzKdSaqxH/ RgQj3ZagHCe0j38nYDlKJIQIWZLRhfl8LHNPepeuGf+ehTzZsMELq5HPUumR JotGzMIX2veSC02oLmSWp7Shbxn3U2a8O13skc/yMyFuTw+dga2Wo/nCtshn HZYZqDrCNgP6K7Y3I9WQzyrSEv5DjpwGMfFatsK9yGdlC919sItjGgTETLQG +RHP7CE3koLTpkDg+/u9v4kort8e0TjNwTsFbuPkqkiW72wvXF7cq5hDAMK9 w8vbWfrZLe8p9LTwEoCRqiu04y0Tcpc0/I65U2BNoaOM6V7EP5VK3eYqClSg u3046noZ8YnwJpeLsdlUiI1TVRLiQHhaVF7qn7M04BZdzX1HB/2/gzIn77jI 0MHaz/CPih/LOb2RpUfcGPjvNs8fVy5H10068AGizRjw1LrbVsSE5XsH5W3v U54xoJM+0M09i/LdUvb5gG8EE454zbTJbGE5x6B2A+elIgbccOp2YU8gQ/el xsPHJU1h1ZE4hUNPKJAa8+nW81O4fvC49yxvlwfQWk5dpRZjsLO6TMFHB/c7 V5ecHg/4wNMNhdfE7pOgq1bw8pvtOA/IOs5xLgaCZEk0VbBxFtwS3m6I4iLD Ca81v571hYHXb21Pu+fTQPgWfS2WicH64IlbW9miYHfwKIn0eQI47y8uijZh 0H/gSWnp6DUouby8r/XTKEiTm46YPMDA+kGmk45nAvhx2egrsg+B7qqPP+gp GIhZ8U0tTOD5+1zH3YjeBz+MeS++8sFAtuykX2FYKkQO7K9yNm4D/3N/eBn6 uK+JOsN4q4P7jox1/Dvc7wEPh775K14czw6JtWhkOZd7K1H7n8UcqLlJBfam ofnBRrGWnQ6nSKBWF102UI36ZIIs20aHnYggp3a+4Es7yiMvaql6lussMJq2 3RoORHWJlo/Pi7idZ8C2I38HPEN5cfJvsafkxWnY9C2XYyIFxb+BU90ak8Ap ePfI/euoPlpPs7uWjIthBKiOP2JoKsqArovneFLUKdC/VzuF5zyKW9mJoQvV SxTwbmhRJd9G8Zmteb9C0oEK6xwXaEFaLOcuyqdlLbVSAbu8YV3hIIrbXir/ j5uyNNyvJTz4ewXhu/tt9JMzaeDVoW/Ly4lwjZIrk2m2dDj/VbZ+vT6K8zty D8WkxRmw5Pk9zD+URVfz9A+aRuO6OqWj1VQE4coJYooEIgMubrzq8bIW3f+n j39Xa5owoaPrZq6jGcJPpsvsds5mgvwRNzf5HFw/n7/rfttBGSRPZJeeKqAD lhFitDaUjOuMT6J+gTbgIu7Gp1JChTq19kg2J1yH7/x50kvXBarJhhs0y8lw lCh7M92IDGcOWgur7vOCkZ9HvUvvzYGJ6URQguJ/fb/jNp8u+oPFZJXYRN0M LFrf8/NexiBUkuf9Zc8I4B+iOHk3T0Ja0CSn+ns8/s3WBKfdj4WRs78PFDOH weYeN6aUj8EczeTNxuJE6KWlKJwc+AiyCz8ejl3Ada/0RIDJ2zTgd1FdstBs BkG9pItzqhiQf8u5Rk/j8czBQ6vcFgZzN3PbPrLhejhhs/6sFdKxT9aSBUsE 52A+iB6b/Bv1XdQXf/UXu0ECRor457cvUd+F5DrBDBNREjj2cygd1UC+OJdn 9EPsHSJ0HLM7qkBBenXil4j1zHYiNLstbxdvRXo1utjr5nLxLBReW9locwP5 4tkMk4MEmVlwNOqxmg1BvjiKp/rtl/szwPFjKW/jK6RX2XUs2KtLp6HHj0Ho TEe6VLjPSO997RTItAgJV1si/le9/pX+8yUBOnaVvuHcRYfkmaGJF9EU4Hve 8mpKGOVFkZpmuOxhKvxxdtzqZclyTrvEn5UmnH/VQ+7cGqWjeB4vXSS1BNKg iVn0ZGg7whtIjk0hgOu6Jxpj4nYozgsGd6kcxt8HK63erpbZKJ7rd31McnVj AMH7Ha+KMsLZbs6HPe9mQN6/ErGZ9yie+y3M5jmUmdBpZFKaxXIeWbRqlbFc PhNEXahmV1YhHIv+OOKA51fT7/vDsVFkGA7dbN9z0BJsRElbGxUp4PH075Yd 5mSQCN7t/a/zMjiNmwe+24Hrqr+tJ1bUyHCMQD17QMIPHJbeRT6QI0F70/3g V1vJkCHX/u6SQjDUt4quDdaZBSUvNf3fbGR8HTmnNkqGg6iyQGq7NQFKnvEc UerD39MXlA4krI+FgUM+7jEj41B3oHS6oA6DmBuDs+URcdBM/POqdmoEGg1J Inp3MJDoYmTu5EoEm9Hdqwf/DsA9zQGafRwGScSGTV+uJYO+8AH9l9ReSCta zWlyCYNrc3k//bangf7tugG7Ay3QZmbQ4K6N+77XrWXS6ZkQqZTYPUK/DiG9 1MR2TtxX8ho73VyP8oKLf+7RJ5U5+FMR3vxdH80PMjZ6fB5UJ0GyotG12nS0 v18u45l31oAI3j17z4W3obq0QuMf3ZeHZ0F07cLi2WDkv5pL6q6Kt83Aa79Z 5Ue6KJ4FKH8u/jKcAbnESqK8PPJf9YM1fmbvpiFP8rgClQ/FucLmjIgK42kY TVAW3r8W+S+N/2vqusOxbN+wlUp9dkaUrGRmRFYueyV7hRAZhUhCH9k7CVGI SHYSIk1lJElChYhe6528SCSU3/P987vfP13H4Xif5xrndZ73c9/XLdZCLh+Y BKU+y76qCcSLBJ3K9hPsJ0FE7qn04CuUF72EJ9aHRzD+4+oqk1FPs+/P2rm6 1gkHjA2TpzIKqeBh8oW90ZIMqpadKQRjmn1Eli+VSrgoYGnyzet3IqqXJE3W Md5/KcB96mprrBCy06mKSBz9RoH802HBHi9RvSymSJLG9eaghj2o/rkdsjec vbJVenEeSIcFC1bF0fPdjRbbzqBChd/8l7JveaJ68Vj+fEARe17Vis5wnz/o PT+bP+Q667UAXabkRPkjNPMTFGPGrggsQCqDe4NMBqZ34lpXvhrpwlCH62S/ HAV6UzlGFp0xPE9UYyRU+8KO5+XrDRIkkOCx49/UIYGk6d4QfOIFMGPT90sR JoBrweodrkMYLyrvtfFqCoWZdX1lHZVpeAXs1aQVTL9spoyecY0BnEnDfYeB CQjWaOjReIPl+dGh+hzNRCB++fU2588Q/Pir+ET0BhEesVcvbmqlYbyoJ07k xyCcr574pn0Z0zVMfJdrv6QD3YNbI8oDH6DjONHgnBumUzyE14T9rkOQfhlf 6tEu0K0U2MdnRISPZL5P3+cyoeSUi16G6wvwlB3kOSNLhGXlbFGccja8LqHI NvyqhqYFB4kubiLwztaR1oIQ/ylft9zUWSTA38EV45sKhf+3J0/zMlcFEcAj S0Fk/QE6P+j8mxwbuYoHz9u3JYsG0XfqUzMnanwu4YH59w+TwmfoO/VgzqHO G7GzIN3BJUH+jNZXdWV8vtYmzcC28va0zXikL/SDK9mK46fB6CIXXaQa4ktm JdRcjtQp4H53NbeCDfGl1SujWYu5k8D1ePRUSzfqC7d1pVJf3MbB/cVl+/ii ecgK3F4dF0qGnVLZizyiKM8rGhkIsmoU+Im/2ejnTjPfjL9eqbSYAqdiSF6/ fqO8bc41fjZxbg5mGa2+P5OjuVeI2flhkOI8FNzQIh/yQfkseJ+o6bA+D9HU ehfdYpTP5FKnsrttVKhf1Vr5NYzy1k+ukc0ifQEO+xFSTf9BdrPbAUHeblSQ rlMVepOA4fnJFzEb1ZZQe1hFLDaIDJsCZ8f8rTEeHuzFZRbuD/LeWl9i/Aeg bSVZNT4Q473dq007P16DftWItu8GHSDocMer9hgRvgtl9l7ywvDzUG8o2+ki 0KPk+r/ehfFtK4+Ll2ZQnjza432BpEOAx2n9AlM+6Pyg/S0eegFDPLhdnOXV L0Hf+zI1+Z8WWM+CU+y7K3IGCD/7bAefijvMAOPUzp6CNcSTyd8ctzHYTYNu 1b0E5UWa+4Wv7g3DY3oy+OUZ1mvdNPeeu8px8PtMwio5i9U+hmZ/8b/Dx6/6 4eBkYY5VgBMVck/uZSvWI8M27ei0dTsU96c8PWZV2ykwGffRbCmLZt6UwogL fz8FXvu0aca8o5knoF50/oXKHKi7bUqNeyD7z5TQhTzveahgF62hU0JxP2A3 y8ElRYV/9ZuSkwJp7tOKsYmA61QQ4Tfc78SC7LZsw2mWjgtgmNbOaqKD3mf/ Bc/wWD8K6Lr51f52JcEFe95a6Ys+kMlgROXzIIDtMmmXuTQW9xBbe0G2UNg7 //vQ9bBpGDv+NUP2NxEMurbjPrDEwBqbefKMMca/nLpJqt1EyG2fy+FYTABc /lpCYegwVPQLWUrdJMKHqHXH5KVUWDTLZngz2AerJedDSz2wvqwX3fKY7zq8 zpkUzPNphefKcq/L5YmwdMvVQGE3Oj+YE3Pv7KEtAnTkFWQkzNDcP7t19nj2 NgKIpOk7cOPR95rJV9KU1hvT8OBRcq/hOuqbVQHFH9zzp2B5/7HnLR9Rf0yq 5CCOl02CoObaU6UMVO8EyjWNrzU4UEs3322IxafgccAecRsK0E9LJ4QY0sxN FdfvHm+hAGuI3cDzSZr9ta1VXJUJc5A3tpj4g5tm/vxb348JZvNwYFC+h/sE iu9+Oh8JZU4qROYrBp9JRnHkz0qye/+VCrE7uPT7aPpxwjkFHefxebA1YMvU jyLB9TuhGnfH7YCJ/ibXxhwJRs1ynL4ex/RINKWvkT8QBElmP9WmCaBb3j/b roD1HY4zzmmdIZAw4MkuvT4N3Gf8nJq3iHChiWUI3kYBe5+e0JYADvbeWpVQ 6sP40lf+U7scEqBXeP3vfd8R2B3yO/poIREYnYskC+0x3tWld3/pXD+4HI8Y 5jxLBDlmDRXcxQwooV8lfNFsA39DPKfkUUynOP9K+fQE0x3B6cb6K+lQ36xT 2bONCNXvFaxeyaP4urL4TrwUJcBDn5uNDP8g3ZGc/qo5UwIPlaSaHyLRaD28 k7Uj7IDiLOQL3NTu00M6IlVC9LWZygwcOTglIbyO+FXFenTOk/ZJkDNWCpbh R3GP1rIr4XyHA/sOxrD3lDmQU8vkfHOKDP7uO5M/a6B6H0ut35snRIFXbKQo +n9RPsS06gVzYfHbO2YnkcRJYx9u9tyynIO97dPKBcYoH8y87bvEqqlgrqT3 KWQRxdcuI7kwNngBDHZx/uGVoNHtCbLNad8x3oIbs5O9SgKfcyu5xVxGkMHj ZHrgBxlsm1oYiY4kiGh2dirFnQVmQR3iLxwevHUYFb+KkWBjSN+q7mQYNO7I 1Fn+OQWlSkYd5T+IYKHI8mWjIQZ647n7e05OAF6w4L5WOxEq77/q5U1NhDWO XyzXEoZAW9bwwL5MrN5LHVKC09H5QZ744M1IdwKEVVOdGKrR+cHDTJH6/3jh YdfhU/Tbn6N1xfOO/XA7eBZIVxb3mJiidQ/RoKm1hLAZqD8i/rZvHfXxMjHR I9EXp4GqWKzUEI7wfHnwmGs79rfkxdHAXAuE51629zQYkyeBVf4lvQYj8p9F ftdQcToOBO3y774eoenDGdRIG2YcGPB53lYiLEDBfiYJbR8yMETkBp9URHE/ 3L91dvkQBfzf5R+uCELxTc/6tBqZieHAjq5SwZ003xEi/ePaMF3Hs0+Wd0QL /d4/csW5yY1UuOa3zshJMyeR9dCvbcciFyD9QukNl33I3qO2HPCgHuvv1xvD v6SQwGWMbcTnkyl8NiugNrWT4cI+6q5Ue0yvVStM+H069///4/srE6RwEg9n d0p9XAtB606K/AvCBO9ZmCjZWcZSgfy/d+C73QO/GTjV4vGxwgH103CzDKOP PtMgZOFwNbYC+X+tIHmO6j8FWq/KmJauIP+bTDvFOERg/XToAHldHr2H4P0f N+/G4CBF9wjDf/NxJGs2hH6+pkDwQtHlcpp47FgMcDazn4fsammtE3oIJ7fc 7N0OCVDhtpqe+oUohJNVjSzZHxoJkCqyl9vhMIZvKlH8sdqXYEKgMF/+3TT8 LeA+r/uHCKGJvSdK9aMhb/tgvu3Ed1DQLrdceY/h0uKOxoDMBBjJUFPA/zMC XUPbM37kE8Hf2N25KTMV3HsSN5xZ+iH0Ks+jKm8iKBU1VdQ3ZMDi7jMqwZdf g5T25KeWI0Q4y3nnIc8Ihm9blabB3bGQL6x7JYORCIX5bkzOJxC+7e8yTg7g I0Bmk4Pl2VaEb0nRaXtfvsR4Zt/WeTW+eRD5fC6PrEuB8Ddy9A/tUV6NFvlc fVKF8YoNBdbJReS3wbLesdSQOej+2fuSTZxm/6Kcu4aq5jzs9lNzPX2K5nwW y0iIKSMV7mS0iVncRP7UFHxv2NBDBdcrfdbEPhQ/up0tWqVyVBg9mEqyjSOB klJ7xckia5Dbvz4uB2SwNOe/umKB4VJLS/5gSABon4sRp+wagDFlUW7+AIw3 ugWJj+7OAHl9EltkXDuMWuYf1NAggtuQyvKTBIw3Ur+GVfTcAhmHm7oJO4nA KZR5kIMe+S1kwHBvvgoBnMRsHB72oP32xstfxCrV8fA6eqF62Abp7jOUPJy/ 4SzIagx515Qh3vjlnrzLZ9MZuL6hLiuL4V3gNW/LgBNkkN6tZCJjRjMPJJZO vZSdAk28+W6/UpD/f2pdXhLxWIAKpwNVoUdp8ruXKb1WgQC3g5TUpzB9Z51/ npvraiiEHFVszDGchq64uNJnq0ToriMKRJvEgG9E3pT6wgTwMIZxbmD6buPr GOmiZCIsMqu2DAkMg7uSnOsspu+U/F+mFUsjvK1NTGGuTJ4G13j5R3WSqB7L Po16il+bguT9axM1W4jnOBn7Eu7nT0Iu71QIzzPU7+ZlOprji3GQfcuUqSlj Hm5kf3K+dJEM27d3HRM7iPxwyFqZfkEZq1OjM3k1njTrvbf2tRUUUgBPHzny dxPl2/1MwYflmG5Z2HGFvKyA7GLiyucLW6kQGnJG+s8o8pu47LI2X+oCXPKv cIxlp7lPWdhuqDKQCgZj+xRyE7G+xu71LonREuKUTfFLGE/HNccfBxsSFNT/ 1BAS84fu7/c36ZI7QPHkysdILSI4qzLuYXHOAm28oPD4sWJYuaAtHr2bCL2n q47OjSI9sn/4zXSdAQF4GMobi5bQvsT68FjTORM85HSma/qeQXrElEGfvsZ+ FlipgYlO4iivwtV3fNV2noHgr+Z/z44g/LxzUr6203Ea2OVPz4VNTkFnf4if vec8DHWLyempoHqMScu15ZWgwl42JoO4YFSPIVslviyY3jhYsCZ/XR/5x/3V drZjwQTIfnewUlAGi6vvKk/P7CWokCSUT2H5MZVxPOUvxtvTlvp0+ynREKOj 3PrW+zuUCWcorGG8/YLXjw+L3xJgpkc1ZCJnGDi3CaxSMN5uOcq6LDmRCrif 7B8OcX0EPZXMuCBPIkw+tycIMF1HeHD36u2QoinwDqlmevEK5RvpQvGx/KpJ KC3a6s+ORvmmNnTQt6QOB8JK5U9DbeaBoazBbqiJAvkrBL2OGZQnx9l8juua zINFmqK5gyXyT5Qy7zk1NioInok77J5GMyeQ1epaFMsMCFSO2yTRYfjD3+MY UhQFvdbq1PmkEQiv+in+G+OrKY8bOrT0UsFyb3ym6NV+qMIVTuMwvpoYxelt 4JYBKVUHRX9daYNY42NXfmN81Svk3IBPHYbnv272BTpkgqfmnFsqMxEcvoXt UZFAuNT9/q1lvAQBvhnSb76+h/Z1TAVIbZ2WxkOvujWvkR7iq1Gf518dVpmF Eymaxuuiw6B5Rdg6xokMboLhRvxAc57l+fKBAkEKiE2Uh29F0sxR7+Dc1oLp h9YvSTlTx2nu99y5Kkgsp8LOzHuRDcs0961EWf2rEYjlj4CxkKsUss8cbo9K plKhl/hCZh7jk9b1BNk6nAHgdASCzOgp0CjZp1pzEqsvyRsJy9lnYWiEfqfg Eh7KeLU/VIqToLoHz+EiHwa2zRvMdWETkDLjtvwH443x5m+2/bqUCJu6R9f7 SofgwWmdronM//YZ+onsuYxwTD1ycVz0LB6y7sbZzP2L+GGSD979ZOgs6Fqo OS3JIH4iWcy4ZB4xA58yd6vuHUf8cLcqk3QyplOZ9F7gp30RHpoyS8kMRU5B Sbfh03xA/KRnv0JWa9okpGd18hX8RPlZGu/G6JOJA7rNBfMlTK/fHPFrcwog A1Ob7IiWDIqLdFaB8oXDFAjcseV56ByKS15SZ57S6Tlg4PpC562K4pInSabP fkIFhqCHt7ZP0twnKHXpXk3cAtAHiq1SeZA9T1asVCqTChHKRFvlZBLs+evf rB5wAmR0gs99ukuGatIT6RlbrP/Kcl17E+H3///z1HAYz7DCA6vPWGL9HOJ7 rdfys7pdZyH07Yucxlnkz3fbQnjDPGfAt3vEe0cewqtdNt9/m7hPwy349nyz A6tv9wueAy7zcETtkEq3JqpHWFn5KiRMBeeye68uh6N6ZFZLtUzMJgBraMn4 U1kSnLBQzxO/cQk6S9uKU6umYZFbPqJkgwgRz08Yq+VFQ3oZo0xG6Xcg1/O3 hfYQQeb+H3j4OAFwMk+tPQaGYS6AQzcwjwguWUclAltSoV+f1WPxxkf45v6p YLcXhm+124zwoxn///2JGsc2ucc4mIux5h5RngdqSXrQ2zoK1K7tlhwko7jM 3fHUe6k7D3Xryvbf7NF7HSsJW9DBePyp38I1Dpnovcza6Z2T3/eD7i7cRqQf 9pyBbW/YVDLAcTU5X42uHerMKFYFakTwLLf0yMzH+Eywqugujhx4a6IzwLyD CI//MN4R5Ua4ccc8WZn1MMYXlGskVVvQd4QcebpsJiU82I+XuF9/j/jMkpue pbnWLLw8nepgPTMEdtv0B1ZtyGCQY9ddaoDys8l1Vvmh7wLg1Zs8yTT8O9I6 3vQMBwEOdD5lNJAgwWqD1I2W8VBwbHV4Mi8+DU82ix7yrRDhg4lkvunFGHDn 6wkJeTQB/RcpcZGdRNDK6Q9rtsD0YFnLiPX3IUjqOcrpkU0EseYceydrVNff XLv4bkVPg4LnqpmJCarHVX+G7j8JU5B3UcisVAjVY/YjM03l7EnItP1k6DiM 6tHIMctl5RYO3psUVVvXzoM4V3+vvyYFLiW965U5RXNve4FuRXUpBT79tV9e WEXxbS0IecN7fg6+/RX7HCuN7PUHYkYrOqlADud/9eMz8s+RPUks4hZUYI+1 +WclngQdd7lUgyytYERSxIPdnQx8ceZ+BVbY8x0ZIof3+sNalmlSK1MHbLcz 2hjTJILr9n0Jk4FY3M9F9Ook3IasM5RH9LuIcF5b8OHfecQ3TGyZt0S1CKDK tZlwcAKtf242328x0cWDlIjWstA3xDeGQ6lBV81n4Q63aCiDF+IbBwMLC1hs ZiCB3Jn7nm8CXhskffhpRQDefQ+CoqX+O+fSmHteNRQy6nfXamD67fMOn1yX NSK84aq680goBoImvC3ppb+DSzZD6eW3RHgiRHBWZEwEou+TXCfHYVArFKvx zSWCnii+dYYJxddK/dGWWe4URLzrv/DoO+r7IuPx2SJ3JyF/dLH0cyGK4w36 FVbOShycnP3luufCPOypHFKffUaBxB/trk0TNPOUos/ZvLWYhyX+w4aDJqge W3sez8jvocK3vqkm3wSafTk5oTeGSdOwW/i3+8x/8xMsjtvsWooCl2Cmrlem /cD++OR7fV8ijF7zZI5IyYDXTm9qmzZeg73+9SpHFSL46CVoQwfW31fJy1Ua qfBX7hZ11zaMhz+jpBurozpdNt7hvyZEgC1pGYKY8WsQWfk7uPM0GcLLCrqu q6K603YM4L4pQgEXHZlExjCUn2IUx3Yj2zkIrdMetjJA77u943Hg6Voq3Bia klSdR3mofOdl69tLC+C1MTY6IIrsz0byKNf6qVA2vB4VkIb1azHGv5mGxqBF yRP7OUWGVa27feKOmF1HTN5KDq0DCOi00T2/OANFI8fs4/kQzmty6B4LC5yG YZG4mKgUVKeFxVaZdSFT0LDv/MEsN1SndGl78Ebxk3C9r5k8xoGea6NOtmYk BQfH6nR/XqfZf01MsPgswIAD31OhE89/LcD/ANqQB2g= "]]}, Axes->False, AxesOrigin->{0, 0}, Frame->False, FrameTicks->None, ImageSize->{208.8, 208.8}, PlotRange->2, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], GraphicsBox[{{{}, {}, {GrayLevel[0], Thickness[0.002], LineBox[CompressedData[" 1:eJw0mHc8l//3/zUIJU0qicqIUhkVkROKNBWVZCR7lXpLiTKKUmQrISRSIntz 7Oy99+a1rgsZKeP7+tx+t9/rn+t1bud6nufzXNfz3M/zce29e/+ayWoWFhY/ dhaW/13/328S/v+/EVu+MLUVEiq8bysWHvGEFeuNG68tkSB5cBf/kSMhcLlL xUrgLwmF9cT2rKHPMPXapvXnLNPONz2zVeIbGDW6PV0zScL9i3GFlvY/gTO7 IHAXhYRzTXT+0/0poBQebjk7QMKB8OXsN6szYNy463JgOwlJ1hJ8c0LZ4C1r FTlfQ8IQ58xRI9U8sC96ViVQRELd2o6ZFFMEJ/LhGa40Eub86o4NKxfBBtUu v8IYErjlFTSxsRjuJ1krnwwmQc56790+g1J43cs2/dSdhOtO1xeOMspgG/Xa X807JMhuSzkjzVoJNyJP/GJcIMHuy6JGqU8V+B93dLx6nITAcY73F3bWQNhs IdvTdSTYnKkjVg7Ug6jRfPJpggDj/r7rr242gNf0EL2lmQCfD2zPaDsb4QP/ goJlKAEbY8O2/QhrgiCWY+42zwjoYQn2XtBthuRIqRJlfab9jTLgvrsFTH7a rzPfTcAlOYcnp0JaIVbo0tviNww4+DyiV+d1B9TPenI8NWKAq9wOi0alTsja rP14ozwDyjxjbC7+7YS1K232LWN0aFupNJA274ag2NOVayTp0LrtdejK8T4Q OBUs28hCh0/GmndaxvvAodLU0LOeBgOHPyc+et8Pux5sCSiyoMHaq+zGrg4D MHJp8KenHxVSxBVHz9YOwtPDqR0j2lQgV42nvBQcAo8fuVLyAlQwLvS/wP3f EIjVX3UYiqNA3cs+wX/bh+G5Vfh/ukkTMK5yo6z12gjIytBWNd2fgMCbf4X4 IkdguWpbwfXDE+B1wjQogD4Cgm21v/3ixmH7cEXv5hejkHZ0DEX8x0D/9ekL v2PGYDH5vZ3ymTFI5x3fZDI9Bh+KhdRvz45CcHf1v6pT4zDxzLjIX2sUPltb h5o0jsOBfE1Hl3UjYGS+dMyBNgE7jaTN6cnDoJjOwXrkCAVmFTc8+e/2MPjv 8psveECB2n1ldUPxQ1BOr1U0/E2B9xO+hzKVB4Fsv7tTf4IKi9qWudZjA/BB v9QyYB8NSjNC2PU9B6BwSf24120aZNfyZ3N87AfL/Zwz+ZU0kLprOune3QfX UvvHppZpcMZ1w3woXx/42Klf75eiw6Vt1x2z3vdA4Tvaud5gOtw5+ulLQ3M3 JGrlnaWU0+He1tLfMRu7QaTQIyFmlg68O/OW41064f2HBC3RKwxwU7vwXehm GwQka7vxTDPgAYXVSehNK7zI+8Cw4SXAhutWqXheC7io8HiYyhPgZLFyzpa/ GfosxWtknAkwixUzL77YBA2t0ebrIgiQUykoPu3YCNotKpse5RNgcPZiVkN8 Pex+uGXz7jkCNF1KAtXX1kG2zIHua5tIoH+eija7XQOW5hr+AmIkpHgKKiom V0FZwM4drqdJ+CNgUDXArKt190P17W+QwCsfkX/31i8I5H5hvmxJgnNrU0h7 fBmcvLZHfcdzEjpT2RnXlkog/IWpUIkPCUHPX2tMXCoGfVXOI8sRzLrVIczi wwshKMM+sSKRBK6tXoUGnfnAW9X/Z28eCSdULvRtsc+Bswy1RxwVJBTl+US/ 35wJK90eoc+bSPgkf/HD9h+pYJNxZcalm4QafiGNtLNJoHv1+M5NwyQMP1Zo PJ7/DaaLUtMOMjk1EJ24cZTxGVyFxN2aGSSgZMMdd/kPcP3T+KV1UyQIvgjW dZJxB82PB2bLp0l4Vnvd1kTeHG+f3mm65TeTa9XvjXvifFFLtC2Cwrz/Loen 2EP1TzikZJ1ykSTBWI3tk9pMDOaydhTI05jjH5bZVxX/QKxdM58xSsLukRPi C7+Ssda+LLygj4S08kXL3TNp+FhdVIfRRsLNLxviTASyUOa/qryOWhIc7xin pKnnYi/3v/2uJSRsq95nQnlYgDsVWv+OZZJg+Mqs+UFtIdoXns7mjCfBS+tK etGdYgw5SR+mhzHjNyuX73QvQxU+5wbCiYT1swTXap5fuKD0Xze3FQlvAiXV l2IqcCU2dWTqJglH9w4fYRRX447z/tyLEiTISC5D8ZVazE562C/MS0Ik/dxG q+46vGK1hXPbCgGXpVTfO803IF8O2w2lagLuy8Z8NshtxJJj6On2kwBvmvM1 7+dNeDqSouDlT0Cyy3zyt9UtSF33pm5JiwCecNrS65IWzHCU2mcuQ4DYlljR wBet+PLHh/6ILcz4wBfHvaodEyR52J9VM0Agc6TPtqAdCxPD1IVjGXDszcG0 /qcdeOL056hIZwaI3np9t2KyE72I+DKeIwzoKhISna/vwaxnV8oPu9DB7Van +dzLXlytaqgRfpUOOXO8CRWyfahtOOBG30sHJ96TvyrD+jHyh5W7DNJg5svr 4TzxQcyPKfn9mU4FM2LdARGXQZwaWDC6nE6FuD+CAr0tg/jmVscY1YkKT6gb UMRpCNMaBcVYOKiwwHj4vqZoGGt+Eht7t1Fg/a+wzWqbR9BV+tOJa60ToCbp dGzWYATzxVLfVgdOwFKz0PqBvyN4mu3fmtZNE2B10yHro8gYdu0PcvBeGoMd 94K36N0fQ/PbZv9sMsags0Jpu3zmGN4KOgfm98bAUMI8V/HMOHYIXHiT3j0K c1HtwryaE/hg0+s3rD9GQCqN13V/wAT+JchRH4MR+Mb95S00TTCfr2Wb5pYR AEV7/vBLFJQ6sOFC4KNh4G9dVkuQpeJpcyX6BekhUFw7PTVrS8Xyt9X75wcG Qdq5fY9CHBX/qR3XmvEeBP0hy+isrTRc239Aa2p0ALaeGp+T66NhlWuQeuTu fiD/sm09vpGOriFdvlU2fXDryvKiwCk6rrhX99fk90KQZtf+jPd0THb54myn 0wOsO7pI/RI66qw+ZSj6tRtkt3DEEQw67knUs6qd7gK15ALbPGDgE/1sr42v OmF1vrTpvCkD17274pFZ3wGv/jVt3urNwP3+Ydb3eTug58KX2rFWBrZZBoof +NIGYXOHt3TdIrCOu8jpZWozdGjs/TrzmMCrPzu+W802wTPHyvejgQTGGTT+ /ni8CVo16TKq1Uz/7P4lIqMBprXUm1JHCFT7El58hl4P2cUyCb8XCZTV6b5s b1EHzxP6HcfESOzaMFNud6caXq0OzXuvSKLDTg5tg65KEByjt/BeI/FUmvbc Fc0K8J/SZzc1JnFsj7z39epyuKQiEuv6iEQJifFNzsplsE9cnMPSncR1cgPP urNK4II+54c9gST6lht1OBwuhqVfQmWfoki06207aBFdCMrNHzdSE0jUlDfd 9uBIAfzVuLG8kkViqNg4D8GTC40jXOIDxSRC6uqPZkuZQFk5J/2mmsQfYzD0 bygNTpgb/VpqIvGdcKpC5a9kuHrRN+JkJ4n0Nz/+dd9MgOjhHpfTfSReay5k 2SzwFcY/SilwD5FYrCJ/7t5oJDTVaCfGjpAoZLZT2vBGEIyyzSHbGImGguls msWucLXL1+QI06a+uvbb47M1Tsr6RgiOkjgYsVkjkMMXz+nLP+1ixjuvrikl +jwMP53J5tLrJzFvQ+rcrydfUCCW+3lcF4mtho1Pvyd/x31v9v7La2Gu7yOH DNolYZR+QuHHWma+gr3ua3xT8SpVM+d5KYkCW5YoDYwMHLxW3TKbzZzvlOt6 v/M5SG8KeMuSSOJvUvEif2w+ylV5WEZEkhhQwP1O1KUQM3UauJr9SJQOslly PlSMq85P7A1zJVEyoTNvbUcJnsj+ETGlSyJj3NBZ9dAvdPn+JNX5HIkHTtxQ 622pwCR3Ra9YKRINxAupmk5VuEvSxb94NYkjNhrtgb9qcWJhhZo9QeB1vbJL clb1yPHcXP9yLYFRBStLWR4N6PzMNlTTn8AvoZkvv4s0YU2AKfevhwT+Cy/f YDPbhPllzdM9VwnUarC/q1XSjNr7oznm1hPYOh/mZ63bilKXi4wXxxjotitj y1vRNizn//48vpCBM4aeyd+m2tA3SXSC05aBBkalW0vcOpD/S3BXwVkGLu0V 7Y5X78S3n3Ua9+1i4Ogz9kpb7i68TR/MXI10lOAUS7R6341GrHp79BZoGLdd ovTohz788CDjeXUpDaVajb1Yr/fjdPcj+X/vaBh4POKdLPsAvr5S7BknQMNo n4hXj4oGcJJ+rMpVioo3BbcHFYkP4e5HbxeUZih43m1Ef+uLIcylBtzrSKMg Q1ZozKdrCLu0hyMDpCg4Gf309YLHMJ49sv5ssOAEClP3VO1vHcGNB4Xv3u4c R4Wt62gGIqPoGHJ+DbffOMZJ73kdZz+KNpmW/ZeXxjDM361fY9sYXonSXXxX OYq0zfM8YSrjuNH76oDw01H8rvJ2sNNrHF2dF4LKxUYxfZ92NHsr08+1c1ba YwSzbjgePHR3AlddcdUQkRnGW7F3BqTvU9DhdYKsyvAQFl9M5dWPp+CbqLG4 aL8hzHy5ivfVGAVFzZQn5emDOPbxtWLNLSq67T51RThkAC+yVAqPStMwQ3/7 k2zlAeRiBF34ZUbDe3kn5m609+NMD0wEf6Qhh4GKtc3jPtTbZhw7t0jDIx3u GPStGzPD3zu8SKOjxj/BnXq/u/CulvyVsH46VlwQ/c2r0IW0utCFAA4Glofc HHhZ1YEfHL9f2anDQKEjweZnN3Wg+IJxZ7QLA2/e6tDhud6OZmu3zbDFMnCI g6uBracV/U7x815lMNC2PGzLsT2tqHJ/5tYxbgKXWttO+Rm0oE1162f6EQID em+JTfU3YZxNo0K9DYERcu+oawSacF+iv8ifNwT+epIQdFevEc/MlKiRsQQK NU7NqCTVo/+nlRGVbgIVzsx37herw7dqt25F/CaQp+ufXUdkDXrGtc6WcpKo eomd/wFvNTp9b25JFSTxxBNhmSWvSpyv79htdYxEP+1iEa9VFWgSFcJCZdYh 24+dVhKPylEzYhUeuU3ix3sK5MitEpzXSFvL5URivC2r2q7qIrRLFlOLfsOs 85aLApHyhXhkX1zX0nsSx78aHNpwMx+f2ATK7/5CoitlOCLzWA4aTP+cXmJy Q3GmkG64NRMz5PiDPjM5+1vdylZ8MhUluY1LOYpI5Ho573u0JgnN9zw6LF1B osrxwseiV+KxZGuC9546JsdqgirH1sYgq1J7XDWTu3vd5Dbn/ReOVmVHNE+2 Mbn+u0vnQ48vGsuZWFt2kCjnlfDDdesDDO8NGbjN5PIGjceO3TEu4HvJOG4j 07a++lNAixoIRun1FW7tJB7dmGRgWRgJEm9va2YxOblyLLr1D+dX+Fz91+Rn A4ndF9VcgrUSQCBny0FzZh84wLdKwa0uGUDIoXOIyU2+Bzi5ajoN/hx4mCaQ T2LGls1/vm/LAtUXCesF0kgMewYzesdzIVtbRX7wG4m6nCZ+/24UQO7bpHjT TySuPqCpIpVbCCz+TY0/mRzd4ZVerXC+GNjrhw7nvyBRnDIy1btQAmZ5Iyny /5F4Nf2LoV9cGcyaVhWdM2Su/4n5TZUbv2CyhlNy9BKJ54594BtYXQn9h9aN b5Zjcp3jyRqtxCrw0WLprt9H4q3D3A/fatdAjdj67YLrSZz0TM+ei6sH6+wX 9Y7tBFqb9DS5fm0AvpzaVM9cAhevbREscWiEv9FlMYc/EWg+czKtnq8ZXuxk l1QxIHDuXmDtK1ozWBz9kpJ+inkuWG4w0sppAa2he1vKdhEoXqQpyHq9DZ7t HZksbGBgz00W2zbBdnikdaQr6RsDI1ed9A2mtcNq7mL7M64MPMNVtrvgWSdc 2HHpiv4hBuK6K7xbz3YBp/7PRxMrdGxv/bkiub4bVvUt79/TRMev7zM1vgX0 gLrP55DAh3R89Woqm7zeCwnPVCs6T9Nx2evflh6ePigUV7nUzEXHtfKSyi8C +0H2OL2BHk3D8oXglfUwCC6ZTWdWCqmolL12+uLHQXjXmX/6kDsVs45WWxTM DILKaufV+85R0ZryWW/f1yFo59Pf/18Vk7MK2klOq0bA+EHN0lLhBM5bVI7W Xx8BikrJWLHjBMaJ1ftKfxsB9ZbzQebHJlCEpZCD/9IoJD/oVjaKGceY+H/X NnmOwcdP44n/PRnDnB1Nac9bx+CBzerjYeJjSF1/8tSA4Dj0R7LWFHaPYlTw o+V7aeOQUHw+ZYP8KIasD0zWq5sAh3HLOl5iGDnA2HDdFgrIllf0vf4wjGVO d1Y8tSggzFd0epvyMH6IejjK1UYBh69TFE//IbzEc+h5QRUVZuS/h90VG8QI 4txQwxoa1E6eNa6oG8DNqSkTSfI0yKo5ZGn73wD+tprd2PCVBvwPdjQeftSP 2ucMLTl7aNCsf2XfqZw+PJn0qJ+dmw4dbsTPyaVe1N8+KaL+gA7vC2Jo5q49 uP1Q6xePSKbut1K3UyzqRs9uvwDnOjr4GyYwula6sNqVLStUhAHDpQdWv3Xo ROmzJX/VfjHgMntDZo5BGzo5SzkcpDOAYbjeIie4Fe34dtXlchNQMyE2VV7T gtuidSt6rhEw2G+tJX68GZP01j61fEiANQ/f0QCLJqy81r8rwpeAiqXfQ4fC GvG8oxF1voKAvP3a1oeX63HC9G3EzmECjvXXw4x+Hb6oX9Ho/UdAkNqDUeOC GhyYiJpQ2kpC4P3YWv/d1Tju2GugKsbUlTSWx74OlVhlkYaUUyRwnza3sW39 hd7PKwUPXiXBIktN/ezRcjT2t4znMCLBNS03ce+bUvyxEPL+5X8kpNsWXNwx XIw1yrwSoW4kbLiu1SMvX4RjSmYlF31J6Iu7D4rCiGkW3UUfmDqWtYqj5FtT Lno++BDx/CsJSzIV4/3Ps3BKLWx4KYmEhQ5LAzbxdKy9WiLEk03Cc5NH48ot yZgwW8PxC0k447zOx/7fDxT5z0B9UxkJQdwKEeKXYnEz2/rvUxUkjHFL6nTL R6Dj9YurraqZ+SzFDvD0+OHpw+9knWqY6z34Qv4Z8QDFPMVVhJn2mUiLxPFK VwjpsTxgWkXC6ieOXMyTByRnv1pW/EXCYOxBq3VNUbCc9pX2s5iEAN3kgVSX OKj62CucnUfCYtUmOTj8E/4Qwr910klg7/1BOcxIgeoso29BP0h4IhLFfVc5 A5w+6iZafCZBzRA0AoKzYe2xtMftwSRsE92wEEbJg70dY2/6PUmgZdqm/OAv hMXnKs/cHElIvVfzvLGsCDx3jv4uZOr8vQlde8RtSmD//vjoUB0Ssv+xdkZv LYN3HpJXt54jwWcxfelgdjkU1f9qOCBDArm8b+KnXgVw/jBj691Dwg8esZXd q6ogIev76FF25vtP3JVxJ7oa0iPxgfAkAULe/t7mZ2pB841+fm4bAbWKZ7ft G6kDDSGXg00RBFD2V+okcTfC7476vzovCYjh2DkVUN8IfQbXT2SaEVA/wl5V /q4JPNfx2xHiBOyWVu1b5GyB30OH66s5CRgSmnwy9asFiPjli64UBqzb9WL7 jpetcKh3ZdghmgHl8sPmfQttMG+7IRWfM2BvcWfB/dR2KL73cNOwNgOuvw+5 zmPdAV2tqnoVHAzY0FM06tHVCfzi/P9k9elwW3mASzK+B4z2Xv8efJQO+m8D vn3V7QVeeNbct4oOj/LXVP7b0AfnNAfbjkXR4FfRKue9lv2Qj6/KpZupIKCp MNbMOQifPnrt2RVOBWGvvRFf9QdBTCvE468JFYYXrnyuT2ZyNfjutpQZCvzO DizlvjEEhoccj55ko0D23OaYP0HDEHbJuPpwxQR85VxM5BkZBiFjG98jnhOg XxshbSs5Am4VCbcN2CdgyTykobJyBNgE8i4W/BsDdX7jdeWToxAZc+CiTsYY HM1tvnNPdgz6IvnHeWzHQIe0PS/vPAYDP9/VLw6MggFVe/YE5zhwFwzoV2aN wMYZt6iH2ydg99Z105nWI2Cw8b7c7PUJEK5YyugVGIELZRqBr4ImIJU9OKvr xTBkcN/paNxMAZP0RWtSeQj608p8c5YpUBKoK06fHIT3lGPzT05QYWP4cpjs p0GYOdgYLXOfCtf/nraonRuAi457LoR2U8FpW8Zft9P9kPOlzJLO5Gz0xHlz yxd98IMRVWTM5Oz6gf1eU6W9MFzNORzC5Kz1YSevVWd6YANrwE3Jh0zu2it1 hboy++OWdFmfKDqo2m4o/JPfBfJmYSxR9XTIu2LRxi/dCXmpwawdogwYOZpC nbfqgF2T7OoLVxnwXT5CLyu6HSo7D7mUP2XAj46T6Zs2tcGxwH3OehUMeHd1 13DOmVZgLfau2M9gwOvkg6tsn7TA+nBWDp9NBJx99WK3YG8TdP9N3nNZkwBv f5lciY1NcEZc8fcnJod/ft3mZaXYCOm/4/LfMTm8bDM8eFKuHpblTg6dZXJY 1UJk6FxQLRyujcjlHCIgPP/z7OrJavhCPve0+EvAbEpS2q+oCvhPSCR1UoQE foXAlD9/yiFFeJCbV54EhR8fTPddKYMOpy1GzZdIMIjm26n9pQQSf+5qEzJg csPCmD/hTxFMZFR85rxPwhVKSYPMxUIgO+9uffmMBI3H5tKsivlQXp3o5vuG yZG3ZK3mUDZksC/cPsLkzL+/9/Wc3DPgvh0f351IEuS+q3XHiKbCOdkXF/d9 I6Hu5YkPhN9PMBo85v2IyeFt5AGnI81x8Kyg9c2tDBIkao6+0936GY49i1lT l0NCjsmeDa9jguEz29vypnwSZN1SfBpU3YA7dHOqGZPTRys9QkScHmD/Iats L6a9UWpQUnLQDx/+te1SKmByet646cHdCGQ3ixZ9lUvCp6oQd94HsZi1RaxE N5OZbx+v3NiRBLwnWdtfnExChliuTfxcMu7Zu1SY/Z3JLQ3b795a6SgGZTlK TK6u2Gc0PEzOwlNLNZK3PzC5vHCVKs2VhzXHroWyeZPAR32x8bsZonrh/mdn XEjwtBiTvHmnCN3Ohtpsf0hCkXn7Jq4NJailFbz16V3m87E9oT6cUYqLGfdE /mP2wbdfLN+U3ylHZ45pm1VAwl2/uXfRHBX4gClMhA+S0G5qyG+WXIl+N+U3 DG4noeaKqPT1pRq8/M/JTnCcgO8yRm9vRdVhrMq79NhaAvTmnNgX9zag7lcz yYoUJkfPly/cLm7EnZ7FDYNPCPiWsqrpll8TvvHe+qHnFgF/vGC7s0EzOlB/ DD6WI+CrcGPIroUWPKWcPB00w4AeeS3z1ZmtmL+NY3NAEwM8vu5M4bJrw6kJ P1mjnwxYKtOfsqW14xalg2fcTBjQqpG/KyemA31OSvC0KDKgRjpZlMOgEx8Z C9cu8zDA3W43htZ1ITX6pOpoCR12rCqsaXjZjdxjWppfPtCZ58DhUkKuBy3O K3YrW9Mh9mj0dEVkL6ZKst0X3kSHkVCxyB1HB7C6ZS467TwNtGsMxew8BlCH j5CJ5qGBZcWf0wd6BvCAo5OnyyAVKkSPRHq5D2JLjNcUtx0VZKeEVCj1Q6jD e0gBvShAfyR3/IfgMLbdfbPbUIMCyQWhTxJsh/HowYLsNVspcEZ/t7b+xhG8 b7WdqsXk22hG3PH9p0fxKDXPw+bdOOw6Mrff7c0o1g0NWd4+Pw7ifffXr2sZ xQKuna/1WceZXL906rHxGN57VmDw88kYmMd3n//8dBwF9eL5qrRG4cC1HfTB /HHsGffck8QxCl1S729Jskzg9OSgcHH+CIyKmUnNuk7gkZsz5+33j4CdU5hY lQMFt/4+/ttudAj4ha3llNIpyCp3aHhT4BCYbvusmkZSUNg9MGtKaQjW7BOU dDek4tjJE9t9QgfhtFihfaAsDY9fbpYIUh0A77YynQQrGm7NJ25Z9PfD7oMK y0nhNFwsfeRvdrQfBEqOJ9su0/DxDjfj/Lpe0PE/8yg8hY750k3cAUtd8N4m upu1h45y21+pHjrfBXNDxqPX1zKw4Srd7ldQJ+jIFrXHXmWg//eJ/QLiHVDM 7tr6xZ6BnWECDygP2+GCG0fUy48MNHhTeLkxpw2sfzQpj/Qx0DDmQtr2c63Q ULbd3XCFgZs4D1xy8W4BVwWwyd1D4MSJqvdCTc0g+Z+3C4sOgdISt7OO32qC DjFBW8ojAilTa7tTQhuhI+XNu+++BOqEGJxz722A1Bna7eRiApfiQioDCurA OXyb2GwngcHrrUSDFGvBfsdbQ65JAnu5e3c8y6+G/D94dGEtiS/vXZPTka+C 232vazN3kBi3RuawfFYFWK098PTcQRIHg+/GHpb5BafvaL78rkCipXrcLZWf ZaA05Lt34DaJjQFtDuuji6H0w1vPFAsSHz7vetbDVwS+7cQfTXumLv+1s2Xr AYS8uo3zJa4kblcqljnLmwdOiy08q73+993hx4AlazYcPlU6xxVE4q7cmi+f p9OBsFw8PR5G4r9g+g3O/hQw9joV7x1NYn/z5m/OQT/hqz91juXb/7633llT bPUNTsWunzqdwNTxPIU+vErRsGGNxsNLSSRe7/fWfHLwI4gZcRuIpJC4puNZ beLXt/Dqz/mv1UzbztNNQznvJpjNJqieYtqTATvPBGS54+do7zOOzPFcJnSB Lun3mMhJSXVnxt/IUVx2siwKHYTMU3WZ8xPaY1uayK+4O0rHhuULiWfNxAUe 70xEE7kM3gfhJDa9neaaF0zBO77bZhKZ+SV8F4x+JpOOY9FJV3KY+QezFtlJ qmWheo3RiwA3Ei2KPyfNaOfitQuff598TOIDvhHvbxYF6Gz5eFOyJYlBqRyi IXmFOHfA9fqcLomqXaIRWSrFyOFAU19/mcS1z2R0hapK8BuXlcvkKRJjh1b8 aq+U4Vzmifexh5j5SjY5xrSU49rrbLKHd5E4kPNXN1y7Ai9dXL3jNRuJf2f1 XWO7K7H6U/l82hSBraIciil61Xglfvv0m1IC3VaZsr5n6qXAfiw/9oNAe94R +rXeeixzvMOd6U+gWtuPAKuEBvzUzc44rUtgyKlp05UDTag1cCf4AhBo3bI6 t3i0Ca2d5HuO7iWw7rPIo9qoZsxq/D7gM8jAwYpz0WG8rZhC3WEsnM9AdidX vy2DrSjw8Lyu2XsG2ns93Of9rQ3jXp5xmVdjYKjzPTvrEx2Y5HFeQX0PA0Nm OB7jYgfeWDDxvvybjpec1SN/F3ai7J3FFMcQOq4m/O16znZji8C5d18t6fh3 5+YKZ7YeNErevcHnJB0jhwYDBst6cJKtMCykjYZy12RcC073oe+fh0TPChXV nZ8rLvgP4AWnF1rCv6g4s8Z3qY4xgN8qv4kqeFPxTOeZpCG1QVyurnXt307F ag46JXVhEHUVhGjndlLw7MZpBx/NYdwQcRU02icw3/mU6djXYXxiziulEDiB JcdlxHT/DeOa1Yar6jiZvNTn0wuKGME+S2/do7QxbPh5nNLRM4pel1MMUyPH UI+jMblQbAxdHY30Za6P4Va+m1nfH41htJFS9ancUeTewb72Cec4rt1jgPWO I9jpalUaKjqBKhZFjtFiIyhUelNXznoCf/IHmvm1DeN9NsH7+JNpp71IqZIY xlKpR+sdpCk4zBPmxt80iOVX92+/KkHF3bIZfYccBnGgRHH/oDkV9ZpMjz4S GMS7RlLsKtFUnODf+qvQYgDLtOVYHm6jofxgq3gN1wDq/VXiPHmBhqcyC92U 7vbj82zVzkoXGg5ThBWtab2YnjRy8cQEDc818HotS/Tis3wu7U276PhjYHfB mfs9eJjhMfv1PB3/NCdPbyS60O1yw1XOODruj1b84dXbjqlLml/vajKY7/92 BJtQOxpQhZ7cfsLAf4t23qEWbSis1Dp4OIyB6z+Rd6WnW/DlZelVdwYYaKQV NXzmWAumd6huy2UhkD1Az+/d42YsdRdwpAkQeF7dcWl8oRH1319//ovJ5StD FH+2k42YPrnSYmtP4KZ3lNWODg24vlpghsrk8rzhSCsboxbvKRe4XmJyufPh tt6L5jWYIdHBLsPkso3t4/KnQ1V4nSXZc5xgcv5Y90RV8y+85zpyKIWHxJxl VZ/1F8ox0Oz6r18HSEwb85qyLSpFgazCC1/lSGyei9TlPFGCHy+rbtNQJ7FA /YLweHwRLintelV0k+l38PnKI1iIE1VveP4Zk6gfLOqlIZqPD5JZlRZtSfwl tKn5BlcOXlPm9yt1JNGocAeLwXQGXq72Ctd0J/HVzOGFV22p+OyTAsc3bxIP nc35MZmdhG/Czr4oDSQxva1B0FYuHj+fnSmP+Uji0Yhp+Lv0Baka1aEXI0gU 5zlo6/giHH2r3FuzPpN4xth3/xSHHypk7dCiMjlp28bbogoPsVUlbc1gDIlP qRzEx2/OEG1d2hPGtHfspnApGAdCjuLUMD/zflWTW1tD7kVCvO8eceMoEnVa GQ6m32PhtZpVzX0mZ98ntcieG/0B0nuPzpz+QKLZgf6DLj7JsI91ua3dj5mf 24FHcfFp4NodmiHzhkQr13Mcy+WZwKCuGbzJ7Eud/dGr7g7mQHXenSQlJnd/ Xj3mmv43Hx685ng7bcXsg4oDXdaehbBX+PmwpQGTw8pu9PZtxSD94q5s/FUS 2dbPf/CKKAGTHw7b0pRJ/OI08sZRrAziLkRu9JBi9k33LLuglHKIziuv3LuX xCHus0JcxZXAwbnpQvZfAksjdjpePFcNphtOBmSMErjwQp7hUFsDf9YaRbrU E8hF/5x5t6UeWs1O+T2PYO6fAvt/K98b4Nqy5Y00d4LJNz1fUatGiGd7Fp1j ybQN2suNKE2wdr3UrlOSBHKby/tafG0GqecfXuRuITAmY3vEd+MW+FatObPx NwNZZc2PFPW0Au0/bZpcEgP7Q/K07Yo7wDxRMLlsNwM9fy3w9rzuhIILexYS p+j4ZMOtVTsud8FqiQoF1TI6av82Nppo6YaNQYJ0D3M6sv++zm4V3AOVKq8+ yMjS0WG66OinG70Q/LGj6AMbHbkP0Dh/N/XBa/XUFO8IGtI8Jo3W+PSDRYSE 9H5LGooPjP5qEBqAM5KnPj+RpiEZKZ0q1TsAq1luGNgUU/H2Pod3vmeGYOuj OywVjRR0/yzYrBM2BHsXDeRi/SkImdW/z/8eggAfqYVb1yjI6xbzx+vTMMho KQ1eqpvAxaN8kQepI2CZeZMjP2scm5o7uLNOjsJyzGxdmO04LvnW11x4Mwqx A7k7rUTH8cw65aynImPwRbciacBvDPnSW78FXBuHEse0eF+dUez00Pec/zgO xxKX2c9yjmKUyZoV1aFx0FmTxbY2ewRN01dyQm0m4M9BqEnaOoJaJ4oTS+0p wPqvRf5owRAOH/4oKJFBgZKn6hxfTIdQZKU3xHyGAvM3JfSUNg4hoxZuX7Kh QlXmkRr224NoZ/zwuJsGDezJQ65Obf2orCASddyDBpTFN9ShXf0o+tF9Ji6H BlOEB1e/Xh/KzVE78gXo8JYLBXL7e5BqON1wW4MOS6IuHj/29OD5zF7nRGc6 iETtDrqh243LjSftLbrocM/2Ofxp7sRvd6rDa1kZYCTZWblqYydqWiUo9B1h wEMd845x1Q6UK0o8v+TMgM6+sd826W24k4WThz2WAeO779wSpLXi8Kz25qwq Bnygnf/dLNCKb05uWGbZRMCSbuG8kUcz6tXyWq06SsC02qe0nXlNGJ2g7Ztw mYC4nLNlS5ONWCXxPX3NawLild4m2Wk34NkuR5n4zwQE/Fzmluapx/hJQYuF XALE/lPQ3vu0Fmufq3xwpxJgUnZfS0axCtMH+d4WrTB1ZLSe47NPFRglESgU uZWETtqcQNpSOc48P/FKUISEwxdOhFJvl2HL538jSidIOC9x+qp0dgme5zrv vEaNhJJnnkmR24vx3l72r8bXSfj2e7Pk2QeFuFz1Kc+YqYOvj/N/Nf2QjxIW q46uuUcCx35ZpX8Xc/AmZ5oLPCHh438tV2xYMlHpT8Opna4kDO3qXR5MScXW QC4239dMHU7udX9unISTHgWvot8xdb+o5dkG8e8of6LbRTOABLrrO8XXb6Ox LowFI4JJsNjFva+/LQRDbv0n8Jqp40cP3X2hctATTUX2+mwIIYEhNSh83u0s 2LyL4pRg+u+z7na+0v0Wnv499okSRIJZXJmM5+FQCF5faaLsz9T1Xj4pm058 AY2zDK8T3iT4KUu9YbR+h6h13ZcrPUi45b1brSI7Cd532MzNPyfBJWYqrH1d GtQsCfaVPCLhl/xa7xWtTFg0WW8rYUXCu4gjE7uiciBlqEv4mAEJGraGb9fS 88E2pe5191USfCfDk6o/FsKr28mSe1VIePqzW7JdsRiwvbGCTZr5fsoGL28Z KgGLzYus3ntJOJ79X7DlyzIYSLZNSttIQp+dbVSt8C9QDL+USRshYHbEM8zS pAryMw6Si7UEbNor88d5TQ18SRG/kJpOwAQ/y+SNyFrQT39ft9WVAPkvT31Z rBog7t7LC4XGBEjF6/Fpn2iEUNLuPY8aASMj2Vfpq5ug/PQFRtk6ArwXGQux 75uhomRT2d4xBhiYXovIvdMCy3EO6yRKGKDkuFmbcqAVbn2RXa/twADKjvsd 1hltUNzZtMnxGgNYo/WEkx3bQTDpPw4tcQasCl/vR4MOuHnbYfFwGx38cqcu CZZ1wpGB4z9lvtNhrvq1G4dHF7hfcCubd6KDZb5eePnZbngQwy1esIcOLxvK uz8W9cBc8JnTrzRpIEOrHC3+1g/+xlUGentpsJlD1pdbfAAWl38vixFUiGJf U/Lp+QA0ccREJ76kggMnuDYLD4LvPTPOiBgK7Od7bXPKeggCv1w1umtFgci7 xE6+vCG49uDsBomjFNgy8Sft9Pph+CPpdG8wYwL0uSa/3Pw6DI2L3Qbs2eOg nOfjYdg2Ag/tggfVHo+D2Ak/v4OCozDi7j4cJTMOWrJCB0QsRiHv/rvvP3+M gemgeGfUn1EQrV4/7+g/CqYWpgpmXOMQZLGR6FAfBefpMH0LjXGoP7m33IRl FMorZWM9/MehQ0rGZJfVCPSzHA5i3zYBfF679p0+MQx3Q9keja6ngLOP3A/r iSGwr/Fld1KjgLqLh93AhyGYQ2evXW4U0Ocf+fNtfhCutmx0MmVydt/OVf18 CQPw5MKD9KUaKnjkxR3v1Gb2H73Qs+9ZaDD9NJg+t2YAXj06OSUqTYOBA5x/ CpP64PbrTYRIEA3YDzbp+M10w38OJ1jNL9Ihl288okq5G/h43iR7PKbDNp+X 9AWfLthv7i7xLooOddVsXDdEOyH2Cv+Jq9N02CyZmOz7oAOseVYlc+xkgGJL 93JPTjsI/5Fr/qLIgDHVdR/Lz7cBB3AbPvNgALeAyaqHfq0gFGy4KSuOARWs zioX2lsgNciHrK9kgNTNVyPRd5rhtz8P+LMTcOt9fZjklybwq1C8eFKEAK7B v4Mc443w5Maf4hxlAoRbnbdmWjaAjuvs59NPCOA88f1hw/F64LdmsGsFEDDm KdBSG1wLm3LutbElEMDGn8XuMFsN8UZpozfLCDguPtozcq0K3MMnBFV7CHg8 fPOg0M8KiFGUdGuYIoDgONCjzvkLTO/lbp1jJeFa036VwPwS4ExMPM0tToIl vWlt//Zi2BI+e3rVSRIu5R5R1LUphNZ9F+XfniNhvcBaPsXX+VDTHPLmB5O7 O+S/ST2SyYE/99Z+NDYkIdXiqMDL/gyYtZsbSWFy57aqt7qfZyrYrhGeD7Yj YVMYp0iJVBJUzwRab3IiwVByj4lLxjcoVomY2uNGgoBYCUWPLRpKU2aUi5mc M+NIG27//gFYMiMl/nqSwNcl+KTPxwMaY9f7lL9ljvc1zt3TfQc/HVzUEvVi 5jMhuHHj0jvcOP/+2W6m/1L5HbaBgTB0zzXijWVyXb3cQ50qGIMTZspKpS9J eBs0dcqkIR7rYv8Tf+xMgl4/QVGHZGSP8tuCzD4h8x/fq8CgNCxY8049zJYE 3uv3V9GpmSh+PvEItxkJB1w3k2KQi8cuvDq2Q5cEq9qdv0X9C3DH+j/dmVdI 2Ogc098/VYiqjfvTCCUSZnjG3oyGFOOAm5VBvhQJu3JtRzcrleImZVMfoX3M vjZ4dfjqeBm6X+tkFd7E5Ozg7Rf+Xr/QW+VnIC4S4DCxqqHwaCXuuUPwz44T 8MJWaqCyuQovmiQGlDcSwLtbsuPjoxoMcOb6I5NDwL3F+1RBnjoM9hHSU4oi YCs9K9vlWwN2HnxSJGtFAHypvRz6uBGP6WjLiDD7/OUSEKadacKH5/h8Mo4Q kP26KZ61txk1Vpf6lhEMCLsksZL/tQWzon4fUKthQLysRLfHg1YUevX47QPm /p8IXxgXXt2ONE5zhV+6DPB3LthCrWjHmozP87MyDIihTuR8fNeBWVtjb7Ss Z8D5zB9L4TxdOOER4/I1nQ69N2dn+zq68MQ6B8nI13So3VwrSgnpxo/U4Ksa OnT4e/nW2+M7elHkRtDl/gUamF8Uemve2ovNCS9fFf+iwW6tB4ZKfn1oEPht 3CSQBlu9rtHurh7A/lXRdnNiNIi0tErYYTOIp75eV3ihSgX3akXpWRxE6dr7 pckbqfDF7dPsni1D+F1Kd3V3KwWyAhNvXkobwt6Qp6EihhSQvxyumE8Oo/Xr T9rDVhOQlP5XOF5hBGUzKnQPHJqAGCE1ndrXI0j127bZkTYOu3L2ln3eM4rf GQ9Q02wcRt+9kTx9egyF+hlJfFpj8HwB2557jOGOgs+2vFxjYFtu19lVPYb7 q97KHS8bBdkQQ6EBzXG8y6GsMCE1CuYBqzjbtCdwZ/pqqftrR8BBVul9+vsJ 7AzNE2/JGIa9S2I14a0TyC7Ulvif+TCIHf3i8fwyBROVu5PvVQ4Bf9KXHpCh 4sk/G1J/uA3CFWnx1futqKih8b3/1JFBkNwz6bEYScWIfZ3r9ncPgNFKxsU3 HDQ0BdbXc0cHYElC8/FJBRoedmnnb0/vBwV+n5YOGxpepI/2vmDvB0mh9vsd tTTsZ0vNOf29F+S+ujCOLdJwRdnhg/5CD5xTF+d/KkbHkSLW7zpqPbAmJ+vN Txc6Vrn+NucY6AKX825dEXsZWMrVnbaOtQNUg9e2r1FjIIfDJcXeC+3Aavrp o5IVA+dGZDZU+bXBvzdfus4wdVKR2nA6G18rNFeMx6xrZGBkbLiaiX4L/Di1 vu3TJAOfrBb0/BPZDEe6ol6cPURg/Wz4QNf+Jthss5Rw7RyBD3JmabLGjTBx au/7I0YEtnme8KNEN4B3xSc3rSACFQ5uKypSrgMNUxO/jz8ItB2ds7IpqIGG p4OPfxQTuNlyZe6vbDVELX2wOEojMHazf+cf8QoQcDxxiX+FwK/TgleSXcth ve7nsLDNJNqJOBsZtZeCr901l4R9JBJbXubsO8Qsvt2fJa8wderXwc1r1rgU geGxtr8up0kMzdOhH4lFMLgnckL5EokyOeI/qOfzQDG79Jq/NomrrVO79Igs uLo4XGV7l0TjkmG+ZN90mFvIl+i1JHHZKVZwg1QKuNz/sKv9AYnih3efl4hJ AEmrSiV9ps5+9I6ld3IkFiY7cowfOpLoxVkckLI/ErLPMq5vfc4cv3ZW5GWJ P9zvXPhz2plE/vDrak/+2cHJVwHK/5j+jLRS6+63Lihj90pW+RmJd7g+1kNV ENoH5k1tf0pioKHs/bzYKPR+LhVs/4jEgMrKKiezONR7tKJvfJ8Zr9VTf7Po T/SPuxTcb0Ziaf29y0HTKZgdf/P9hD6JHy7vcM/TyEA5IeM6Zy0S235djmxL yEaNxMKsmHMk6p+sXsjlyEf9hdwRHXkSVxqGnPZJFWIBX8RUxCESuVuMNsT0 FaH7nlifR7tJ1DuHk1fflODTonnnHk4SJ0VUHbYfK8OPj8MCW+cJfNJ8kKWn rxxLw+ySDIcJjIy3ofm9qsDqEYlfrrUE0tfnJOw/UoUng7LWuYUTyChg++XF 1DsZ0s+tjV8QaGNCnj+1px73dE0r9ZsRqGFYwKJ4pwF5C5Wtopn77+wt+7cH WZqQ5eyj5+QGAttnVweP1TWhb/6ISyeNgSdF/9oWhzXjkbpBd+8YBv4T2JGf cawVX08IVOm4MOujcqduHksb8ui2utTcYqD7250H8qva0OPOC4cv7AzcdOiT 0NvbHVhpuN9B9wYdDzz38795vxuhIL7ITYSOFeFp4sckezDIge+Z3iwNle3T 15VN9eB/X/ChnA+zntnsj3bc68Md1AIT0KHhsqn6jPrBfvS4tebUGiEacqpP Ms6P9ePnm5kJdalUzL9ZsZ0eP4Cipx/bdztQUUr9b6bYukHcntzvmqRIRet7 I7PhhoNo5NenV1BKwcz5c993bhtCe6fgg9nFEzjy1KGTdm8YLc/nXwx0mUCL GTmZkSImZ6843bt1agI985Ye/WPqdb6yb5kJqeO4QePcwSfpI3j18eSe1oAx FOYaYFdjjKKuZUn8DfUxDNKIWN0sO4YTWkL23UujuNB4jjB8MYbKwZkKi0aj GKf91NZx+zia9Zur/BNixgmteaoiMYGxOvcE5puG8VbD403ethMopbugtMVl GPnsMh8Wpkyg7omMfentQ3hyqZzskKYgbBIb43k2iFeU1zS7HqBiQluHsr3Q ILY9NXtedZeKHqqXrbZWDyDRsHZiLJSKJz6/3sDLM4B72V3GfTlpeKWYP9lC rRcteS+Im3bS0McgWGH8TQ9ucPRaYuek43YJkfS9td243mVbm7UcHR2SGo+T l7rwHlGicj+QyU35OdUAr05ku7O1maOQjjKTrld5qjown11UV49Kx+eTbL+7 ldpR5ZYIKSrPwO13JOePOLWhtL+dWaghc19xGtS7p7diorNdRqEHA916NbV0 hFtQrW2r9q5aBs7Ub66g3m5GAUqrzwWCgX9M58Ii/ZowbkeK+YGNBJZ7LRpH /m1A7ahOm351AuWey1ovSjQgOS77J8OEwF3ea/+oFNXhje75fhkXAv89CzWV Ea5FRrjJ35shBPabGD7oeVWNcl6yhwSSCQyNm/3vMqUSZdI/Wnj+IvB+/sf2 MPUKXB19LCOoh8BgXvPYHevK8Do4dvquJnFhflTQyrgEqY03WJ9vJbH43dOd I4VFuDGhn8qxn0RhPnXJ4N2FWKLb2i0tSeLD1xpCB8g8LOD9KffvFIkiA6Hd A9HZ6Jjw+ZGBOonlHrMLjjcz8ErR9013NEkc/3J+aQ9nKspc8wpdvE3iZanA nr7HP1HYpztDxohEo3X275ovfMN7elsP/zQnsdBgy6GOPdH4Tnrz3LQ1ibeM rrzXHArBM23RYytMzi12U0V5NrzF3MSw4VYmh33MT61sCrqGYbUNPXYPmVxW ddIvNPWAs4931vUw/S80zpm883kPB+S0kMuWxKv3Wr8ZzEbBtdd3S9fZkFgb J2+ksC8OeCkHlqqY8196//Ki4OVEmI7wDrrJXF+G/c/DZgopkESzL0vQZfaR eWrN2qvp0F5R0VDL5OjMqRtvqoyzIETx7rqsCyRaVHX/CXmcC4eP7SqzViKx i293mpZnAfS15j6gHyOxacclSaKmEIbsVrueEPsft/+77alVDMKsQQ8v8zHX I2meZd1dAlI8q5okN5D4qlr5iKdhGdjrph8f+kdgjsxIYv1YOfwu+adyh0rg GprnYUmrCiC4fsf9aCdQaelu4ieiEp4svBKsKCGw+2dYv+F0DVDMee/d/0Cg Mvu5kpCHdVBhnTCzyNxP3E1DGz5P1cOEzDpS15zA17xndWYeNcKm/f6CH6SZ fRhzG19KN8H2thcmj3iZ42+Gcd2ZbAL7qRg5sb8M5BTi/Nlp1gIpS6FiO/MY uHvSIshiXyuck9v482YoAxX3myuL9rSCt21r8AMHBspwVKtzX2oHBWH5XgUp BtYnapseXNsBruGtK5MbGOhnYFSnndMBh19HbfAYo+OPi+oW1fu7ICRh07h2 MB2t9O7HrW7vgsqM640h1nSUXCV18YhnN8wNT/YVKdFx2o7r/CVqD1Rw7t5e N0FDDtWX8n2f+iFG4xMfuzgNXRTjT7oKDUBgo/vq1HnmOc0qZv/vJwMgSLC+ 0Cyloo6XzU2KwCCUeilfe6ZDxResTyPKTIagMyPNMvEpBdUd7C84pQ8Bp0IH z+nTFEzLtLF0WDsMZTdOGnespaC1l1nHychhmClsERR5O4FJtJFZj7oREFDO HHniNY6PS/Cu6p5RuLpriz/lzDhy5VByuG1GmTqp59jFxTEcNzckk9eNwTee yzEzZmPo+D3gVPPRcTikzRopKT2KLGfAy+XJOKj1mon4DY/gvcqRp7txHBoU Vusv+49gwaWQJ1vVJ8D5g3PQJuY5mwbhrl+vUODp4lrLZ2FDqFo+zvrfOwrs crOzTT07hC+WBf9uq6GAtT81cjsxiJVq3DyNKlRIft3mcE9hEI3NhhpHn1Fh o17ocZuhAdSQEBApz6BC/evYs3GvBrCg3PlWvxAN6sLbqn9F9GP+wUmFrTo0 2Nn86UvnaB9e4A0vYn9Hg38S3d7u4n24pTb3+pFpGrzrlE6t/dmD4uk1tofi 6XCryypgc3wnMnyOFP3v+1FM2dey0bEOdLmb5Dq4QocN100aQvZ2oGKbe4fG FQa8StK5XRbQhitbWTs4HjFgac/PycvVrZjNtneXdQgDHDbSX/WsasX5R9eG hfsYUCh1z/SAdTMeZpPQeLrMgNwrnfwLEU04e/Fa9QN+AqbkPmdMNzUi+/SS yZmbBGhHXupyP96Aq/T3Unc/JGDImzxrXFeHD1LGzwa8JSBtm6XPrcO1SBWQ XdZi6sRjnn/mTaiVOO294/SnegKKFSK3RKtW4MfqO0KuwwS4jnd3VUSVo9IW nfLFWaYO/el/n/qvFBe5I69uWkeCypjOv13XS7DlvvjqXB4SxgRCU20SirAv +rrQohAJR6u/t8+uLcQvk9RtzZIkrEsaMfDOzMNH2aJKcIqEm5Pbd40bZaMV V6nIaTUSLqzK8xbgzsAauz+arUwdXUa+eqyXnYLuy25myzdIuGLlrehTloiv vOM35TJ1d8JbhR8cvHHYaKLGvd6QBFe9QMpjsyhcu5ArTRiRIBJhYHblXhAa TLMYGJuQ0DTFA6E7XXCLW5Qb86wGhT/+Fo9rPoLBui7PQ8Yk2D/LcT7e7AdJ lwOtE5jxTlqqxnzT+AQJfw+qTuqRsFlH0dTSNAbk6MGKs9okRK3fnxkWHQ8s qQZv8q6R0M/2/mwbmQRvDn6xVL1AwvLXLToSXGlg07ZFIkCZBN0tuznSxDJh W9L4wWhZEnodoPr82Ry46TlRay9BQsie/H1NBvmwe/COx8a9JHw8anw5SKHw /yg277ia/jeAF6VFU4QkQgOpjJLqoSgaiuxKmkIohVQalCKKaEp7Ee2l9bR3 2nuPW3ee26CEb3739+fzOud8Pp/znM/zfs773teB/zS2dt8SYYKzstXNyPoK 2C9gq/2KgwnzyrV5ZOMq2Mz2+77TDwKuvT0T6DBSDb7jXGzbWc+v5Uf2hR12 tbBu1wX+jhICMsVu3ahxaYDmqqmNvSkEPJt+mhj2rxG4t3gGJ70lYMBBo+CC bzPcuzVyP96CAEeyRuGl160snz1e1aFDgO2hWpcyvzbQGuq70raXAH7HCT2Z U+2wWTA1V3mBAS437stM1nbArnPvqhO6GFCRpbVul28nNFxlzx7PZcCVXyOj MZpdMMsZc6zPkQGBW42v7ijuBsb9tc96hukQl+XV9TKuD6h1Et5LeXTwUXba UX25H55Pv6/5+YoO/s0nTP/wD4CalkjOG2U6tLCVNGi7DMIvKAh18KRB2ryw 7Uv1EZh0OsZIO0OD58dkU2i0EbgWdKejQ5wGugqhlsIRoyA4/A5oeVS460tx aXw0BpUv75R7DVJAODRv8XLtONwRPHP1XDwFvsgFiRwXmwBGvdRzSTsKKN61 OOF4cwKODjcPFs+SgcO1WvgjzyR0nehNU1ycga6nFuaNx6ZgrVjCN7m8Gfgr Fjod+WoK0obf0A84zcC5ewFpkb1TYHHpo5Y3fRp83UXExW+TwO/7Zl3jLhJ0 56/O7vabhuuFO7ifvyaByDn0ftg0DTw3ZE7NnCSBpHlnnwr/DARNEceP5U6B k9fGVWJvZ+CKiYVLpN8k8OQdvPUngAx6fYM3g1Qnof6BmJVVPRmkfiy9bKBP QMnBb2/7V1PgY8M2jU2GE7D9WXvwzCMK6MZVbHDjGwcDLvUTBuepkNduy04U jgHn0FwjxZ8KNwZyAstsxqAlTujZsxIqKH7TfsHrNgo6C0GlyZI02LYykLa6 fQSijvc47T1LA3rIWF77rhGomHCrSvGiweO9xnFrmodA0rCP02WIBiXbq9Nd tw5B483EJw3cdEic2vdn+M4gCB8Vj+A5SIfh9Fvir/kGIE3IUNnQjw477OWU 9Y72gjvzZnW1JAP2BrWlLvr0gAOjoNr8BAPWz2wg17V0w5PT352HbRkg8Nu7 bMm0C+o8YvLdUhmw883QdeuETrC16W6OqGNAl1zRtDClA8pbxz+EkP7/P4E5 x7n77eCSWDC9XYKAGwbDY7N5beDkbgOZKgS8v/3UeIj1vuFxvY5X7BwBe70t oo//boaRfc/lHbwJKOL102xwb4LPyW6l18IIsM5wfa+z0gDHX9/YK/WFAC3i +wvLlVrY+mTunVwHAUeajtuJP6mBA5dmt9qz6vTG3Zc3uf5UwXf+vM9eCwSk 3asAJZdKMC/1i7mxigkx55QT036UwzOtPXckBZlwb2vjV47xMgj8NBH0WZzF 3fTCoy97i2GN4MMgThkmHDG694KzpRCo+5X/KSgxYZXqepX3FXnw7Banx96j TNBWjZ4zzsuGaLuz+UssLpHNb7RWG2WA9GnJa8GnmZDoKpxUdOgTENf4lf+e YUKOl9do9aYEsH9ylv+QMRMOXl/PqfE7AiK6ikrUWFwOZt60EPYKgK8mhbtF WFyUSTIi7bp4GbDxglohK/bZxpvoccsXVaTUl/ew4iu8nqk/foVh+rUuf1XW 9aMNif34MR45kyeGxlkc3ZUYr7JT4xP2Jh6T2MGan8R50s1kOAMPyA/6/mH1 Cf4dLUOv1HMw5F2m6d1jTOgOexX4IiAfE7Va/rgqs+5fYfX8k75vSMvUad7O 4uoabXulEztLsdTrqI4Vi6vHZ21PmCiXo8uq6p+wngnsfV3RvYMVeI3506GQ kwnE54sXfDyr8JZTn0ULq+9dmVeIPrOjBg09zbw9pwjI0WR8k6quxfXWV8Jb 2wkY3qD4Y9a6HhMKH3uWlRKwU/fhftmEJszoGrvnzuLq76CuNfeOteBVA5vH Bo8JEGeTSLMc+o5SDveNK8wJ4A3J6OLgbkcXIdKuUBkCDl9jyjZ3tmOG1usP y7wEjJSv5NdEd2Bk7e4hDjoD4vbo7N2j1IUvdr61FPvM2v9Bf9b4/u7Cherh WCk/BiiInvxHr+hGi7+zkUOWDPir9C6+yqAX7SUtr17bwIA/VyML318eQIVG uwcdd+hwe4Ciaic2iD8GDELdj9EBCz0bV/cOoti3Lbsnhehgdu/fakejYbxs krSKyKRB6OW3TYp8I5ilcTEt1IPG6ltuQ+HVI5jBnurKoUcD9tLf16I2jeHO z4VjKmNU0NVSf6/gPIZU5/UnOD5RgVPYw5/r+xjm5ojciHagwvtJxcQ7nuOo GSgrfvovBS6mCp3/0jeBYi0+zyo5KfDZNW5+Zu8katIuVRvUkMFiq7qMDsvP /ZefeJQ+I0Ptw4THFiyfP70lSfHifzOwTvxgf4wFCUubH/FXTk6Di+wfgeB0 Euqzqx6tjZyGf+yJ8gG/SehuFVRTZzQN21VXInyCppEzMkK77RsJsq3Mycpf Z5BxZ1/RRa8pOMJBLnVmzKCvTtYTwUNTUNMTpVO5l4w3+Q+zsVMmgfpbOcU3 lYzhjSF7g89MQqsF359b7ym4x/XswUbBCWCG/3pPbaagInQ3BOI4FMnvVrfj oKLIa3Ju/J1xeCK6afsFByoedAu4VlM3Bmal0eeKj9KQQ33xdjx5BDi82w/M 3abhiw7b3z1HR6B8/0t20Q805A+Jax15PQzFLpRN2xZpWLl72eeZ/BCMjaoP su+gI4d/jLj8k0HwWQx92KRPRyupyJt1jQMga/Mzdm0MHVX/HuOZsOyHydtO K161dOSXM7Vz/NoH7Wpcnd10lscIbA3hW+qFZbdby5sPM1ApkXfQ3a8HVHgb zehFDDRkRieLR3fCziqbU+r9DDQrNS5pGu+AX7Nmq6wXGfjJSNwPd3aAtE7i bfl9BFqXydcEp7bBh562P63aBBqruImv6myFqcw9W///nWOf9Je7Ccbf4eBM 1sXIVwQubYo86HC2CWZJkunucQQuBjvlffveANktF0X35RHotOqOAIdePVAe lzR8riOwsHrS8lptLZQuZ63/2UegubdLf++xGnjwIUSPj0KgRcmjJM+iKtDw amylLxGYIqDJbnOgEtoLyvgjOJlIWZ8rH5ZWDnWTs94Cwkx8LiDO0NUuAy/L n+mGW5k4p5NvqHGwGC6xu0lfkWbikl+WvPT2QuA6bPhijwIThYKK1Heuy4P5 EQuPWmUmJr5/cuT8ryyAl/UlshpMJBdNN6fVfIVKrYo1F7SY2LDKdNubiBS4 R8mVO6XDxMcTunzv7OPg9Jojq1frMnFYUcB56kkotB4QeuTL8nTTx69uf9Xy gUZ2hcetrPjpn6YF9S4LdLQu4B5nnW/pJ8r+aN9rnEv9pVB0iolfc8vkTs9H ovqsE4/JSSbevX4x42pyAl5Q6M2rOsbE9VLsNpUdn3Ci+K/ND1Um3hxMFZVY ycALRpQLjANM9IdCUbH1OdhUu7uWKcdEM6cdx2xu5ePp65erfSSZCIE9QUn4 DUPrj7R8Wc/EyItPZrNESrGkWP2uHRcTE24LpiseKEfdO34nC38RKPnD9W4D i7NDeybZP5IJ1HILrnv1rAqvCEqoyFQT2Jh7Nv1UWy0G3Q21bMsgUOgwx+vN D+qxSx06BSMJNG3TSG0Ua8Q7Rzs+XrtFYLRKdpWLaQt6HRDbe9eIwAf3lb2M /n7Hgc17b24+RCCbSOuyqUEbbt/fyHeG5f3qqk2ibpR2dHZvl+4bYGCj20jE 2fwOvMX0Mudg7ee4513qek87MdjEDU47M/DzNFvo043duF/TWsLGkIFpNx6V fh3rRoXjfM9lZRlobi9H70ntwfP1urw5fXS0lvOtWTnUh4+/aA26pbPifS6a tN99eLMg6OOPp3T8dUrEPqusHwVmMrlXpOm4Y+DHn2TNQbzc22zwxZKG2+ZD suDoCG7jTxFSkKfhwyHqAPviCDLCfjg9+EXF8tiWmEsZo9iol7Ta8AUVXylN CH4PHMOxF2Zsz6MoOMVxfK51YRxjFufYza9R0PFnWyqv3gQujQXP82+jIM19 n/rduAnkFf1q9C+KjHYp/5Rj9Sax03G24GHADBZEPrmgFTKFlOG7L0xYns/3 jRx4mTSFWRG3/u1neb6bpOhel4MkNONV3J1nN43bLBx31reSkD3kxc43h0jY f/Js5Knf0/jCYZ/f2ekpHBZepXhGcwY9orivS4ROYTPT6Znmixksu22sQpmf xE+73t+jipCxn+2N+lfWuqRkDXF0CwWZkkstDfoTWCE/0TxyhYKb+k6Jiy2N 43OnxYmyUArKhcVLXTk9jl+shZ5sXEfFMzJaAcZzY+j6xLHppTYVHe6lrgsK H8ODVscKujyo6DIqeTS7YRRvduQETNCoSBMvPzIqMoo8z4dS4iRpWBpgdzDd dASv38yu33eehqtSSG/OUYfwB89vkcQCGhY18mh+WOzH3QGU3OZ7dORt5OAv O9yPv0K43Qsi6WjCPyRf86APy1ozUq5V07HENCosfrYH7SlfyQMiDOTnjxJ6 ubcHuU3EvL4cYWB184SWy41uFLK+4nXgGgPfsL/IDBjoxH8rmeYmCQzWcw90 rhTuRM/2nEPLVQzU2W+5Wkq3g5UHP0vtSQb+cOpe8clvQ4cNKWcpWwkUfffK S6G3FR17+rzVjhD42vYbdQ5YdZBbM3XEmMB2s67Hr9c1oaXIxWr5ZwQK6PvW BNxvwG5SivTOCAKHd989caenDiX/yQTgVwJ/nv0sd+JILdbPG3KzVRBod/d3 wY4P1bh2hlQ31UHg8r+fh7f8rUTP3wKr7kwSOPZB7S+YVuDAn0srYfMEchoa NGk/Qmx1yhWxYWMilyktO+NgCXqxvUntXMtEuVzugNHZQjy0qk1pciMTCw/R 1f6k5SFvxIDyu+1MPPSnuVTaNhstFj7oT8oyUWKjxeb1kI4N9JeinSzOJsq+ tQ3MTMGT/33RtjzMxF0RsR7c2+MwyiUi4Q2LY1X8yRsjtodgwVb3f2bqTIzp a/oTzOaF4z83qDeyOJyXlxy2y9cZWp9VnelmxWY65dIBmsHgqOl02JN1/s9N CtdnLGPA1SmDs541nnnu4/6pY8mQrR4+nMGaj5ZVQj3T+gXWbZkkDisy8ZW/ KelAehZEhfY9NmNx8pV5T8H8Qi68u3r2u9QOJr6WPjZXplIIeoHZei/FmPjv Lmeck3sxfPShXH+7joky7nKTtLIyyCmyfXWEnYn2EYsO7GwV8FxazPTZAoFV qdm0hphKMBmyvHNvikCVv2+5SjWqwWVxy52VTgIjD1Oc6odqwHrCa6NiJYEu 3jP7R0UbwAE2f/ZhcTOm4bKZXEgj0FL+oNxzAnneTmTcEWmGgKNi7YkOBJa8 Obc5fm0rCMTVaotpEri7xfZvkVYb8K6luIjIsvos24WaZ2ztML5w4fg0P4HM nCeM9S4dYOoU/XVDLwNlO0nj35U6QWhE0PXhNwZmv54ZaKR3Qsva6X3ZkQw8 YE03tr/WDdL3X4pVXmHtbx+wD1Lug3v3hVfZNdLxuNT+a+9ofaCjLlTVmEDH yioL8bjofjh3Nm7nenc65s79fFnGPgiNKi4/r8vSUT9Q4phW8TBc+bfmsuAj GtqVZFr22o5Atp2PSbcODQnpBhcQGgVVUYPbgRtp2LXtWLaK4hh8uP9tz1QO FXm+HhTsch0Hk9WmTefHKCgrs6P4XdM46Pjz+MymUtDF+RwpYQvLj1/t037j QME37ysffPo2AQ23L8RO/SXjmVOvNX/SJ8Fvj1bHNl4yPjfLcp5SnoLH5o8K NzfNYMLVJZO1T1mx9iWBvSyulhasm/8tQoIz/h9mP3DPIH+pShCn/DR813sZ uvSLhBS3Y/7296ehio27j55NwpZitkuLedPgZbRVfp09CVWMn0jZqc5AJftx noHBKfzu1SPpoUKGpLHFtvmsSfzHKXko7wEZyEvtHYE2kxj6n8D1P1lkaEve GGYvNolGtIzaNGkKvGno1V92m0ABZXPva1xUMJvZqflFdRynpjvP6hynQnu7 l03++Bi+niaJs7lSIfxVLPGf3xhKyD543DtDBcmhQvrnxFEUerV605w4DVST Uy8P0kewx/1la5sRDbbWttmnHGD1q2m+I/25LM+315Y4WDqE6i3Jt/+bokH4 6rDPnGxD6LKYnjsiQocpTsuS98cHccTysGwby0NcefJn11X0Y9H5l0rKwgw4 flZsm0V2D549anh6rQoDeM5+nBOmd+OLsmXlIFMGqHxQSKjf2Y3nZibFw+MY UNnwt8DqXSeGkwKXN1eyPKjp4jGThg6U6trkdnKcAdoX9s+5rrRj8pcbUwFb CCisWedzybYNJ1XE9icdJsB51/UsA6VWvPgnbuq6EQHnPe2cn4e2YE/o6HCp HQH7t4Uybi83IanQd3WxJwF/qe71giaNePjD/jOXQgjI3sWHfsX1KN9yq/bt JwKm6jLDJzfX4WJBfdZwCwF6AffPhvRU4X2VHc8ZwwQEc579I3igEi9tea0b Ticg/MYG8dLAcjywg3ppeJmAxG00qyudpbiDprWxhOWlGqFcfiS/IoxM6mY/ KMgEQ59vpSeOFqDoWqG4E5uYkL31leJHRg6KxCcEMiSZECSYtFE0JhNvH3Zz lpdmwvqDoteSYj5jzKeGtVx7mVBl2PHk178E5PjFtePRfiYcDrI0HiuLxFK/ X4Eeikx4Ucq3yXr5JWoWpWpsVWJCQ1jOqrJ/e/FtheNeY9bxG8Je3GpCL6G3 8JeVJOt65Y2O4q91IyGdTZ7ddw8TQsM6NSJrEmBqRE/BezcTKKl3nP+z/gy/ LLr2ibLWZ+rn3PLWOxN0/QO1j4sxITLPe8NYaw5IpT3t5RRgAi+QTLS2FsD4 vkUDKw4mRPBy3wu5WQTHHW2lr/4i4JE3sS8ztxRO8D2bo1IJMCx0qTzsWQ6o Ja27YYgAlDxaaCxVCX+7z40ONbHOVzf+96G2CnKWtt+DIgI6Dr9L/WtXAwNJ 1XUaKQTIe9i0WvLWgZ3yg7rBYAJmlFMiiz/XQ+/hu6YbnxDwQ/yp+o/TjZD7 dNRn3oaA3uaTv5ZnmuBZ3sSZuwYE6Psf21Tk0wJHDPUM9cUIuB3E/0LArA1c dv1tj/+PAd+GZJJwSzvQuoNPN7H249ajz8Qr+9th5Yvd69BkltdjmXqscSf0 uihkH2V5fKbSMd47Al1wPLrXvcCWAd6r+x7dbeyCdT+6D6nsYMDsObGOOfUe GJk+OQArdPhZ17zdZrEHyBppb6T66SD8VbOf+bUXshtVJHwD6HCZqEmV39wP hUepiUMTNDC3cON/OT0Ixp55DrN5NBiTXhc/GzoE+Z/rTzP8aKB31WbxkPYw FJVFOX+SocGNw+0mx+NGwChs+piFGRX0Yy39zySOQeJ279J5aSq821n16ePS GOQs7GJ7MkeBjTN+J4/rjkPswUE3H28KRM6E/nBhjINd+ARHdAgZWtsLfxjt mYQD2UmSBy+ToWpnhAfVZRK22BJG3ZvI4HdlxQBrJmE3/6p2zcgZEO28k8Vv NgXG4S2vhN5MQ9t5p6U5bxJILKpq6+hNQ3Kq25RwAwla6/c0RnFOg4VrYscl gWmQcVFXyX5EAtJHx0zNiGlYvTalpPvsFLxqzrh4Nn4GLo6pf7i8ZgosAm1/ /v+7AX/9sH3CRZPQ3tTopredDPKMLU8ObZuEJLnrVo+iyDBV+mA8eGwc3gRA wUY/Cvz9/QO2B43Dy+M/bx1HCtj/IQ7+UxsHEatu/RuLFFC8d3koP3QMNiyf /C/aggrlY8y+CZ8R6MyW4/LZQ4PTwl66WweHgdjS72h7lQYfdw9lKSsMQ9cZ 3y/gTwN2/w7D3b2DIPOpOLt1jAaTp+PCuGQHIeHZOplnfHQw2rN7aeLxAPwq WVux+xAdbl1feR0v1g+SRY47VHzpQD/ssOu9bR9QIpam49PocPiV8fvInF64 vt2/bqmNDhHkri3sej0g02h56qoYAwJtHkT9uNcJraf3vx6OYIBcwAVX/YIO 4K2a2OtcwADXbXd0Zv9rB9ltz7upnQx4d8WzVvlFGzQ+usLpzEPAq1+yMp0f WkG1vOmFzw4CtFMkBLh2foczfTVCjqqsOoO5DDHFJhCV3h07YMuqqwjFv8L5 DXDy0qG/F9wICLtDK9igWg9O2vJcnwNZdXjd/YRSaS1sOFPH1RNLAKxb4HOG Gmjrphr2ZxHgfuWZF7W8CpZ7StVyKgjg9fu9JfF4JVxYSDps1UaA0qKSeUZF ObRKGGaRWdwVPSOQcOhpGcwNZu7RYnHj869ANqpnMbDziSjc/0nAgQCjv+Hu hfBQT/j8g38E5O9xqjF3yYMsZoKKPjcTHvWlvzNxyobep5teLrI45dt6X994 MB2CxqTYnDcwYc3Ti77fv6dCyki3WfUWJiTm1N2wqogHN/9kx5ltTGhbUygV YRsB/9Huiw7vYMJzVckY4XcvwcLFUz5pJxMCnGYPNpafAwPC5SvsYoJwAW1z 64Qvxo87B35hHYfrR2fN+MPwa/NcH411/YAJW5RCSBzO5fbE/McaX+TLoKBH fAraWNxnn2DN3wNXSobSv6L+DlfpCNb6fvvXrOEZzsIkOW4dKVYfkTz9FufG cxHcImK9WPenltSpzzddgKHmfF5ZrPvvce9xVaEUoZ97uFo+Kz9n/Dm2mdJK 8bdDt0rQ/7/zGPF+tfdhOUZzf51QGyEgOWlGlmexAmlspjnIyr914pPi+IVq vGiROa2dTUDIHLNY07EW2RlqzvpxBPw3ar24hqjD+S9WHrJBBBDbPV9WTjVi TnBrv/0NAlxWJR74eK0Z0eZLRtdZAjLOj+Vb9rZgDVOLb+NRVh9tev+1yLIN VS9v6pXnJeDIq+T3e/e1Y/m46WAZgwEHrywc6V9sx5qpq23LrQyIGcwbLfPr xBAF0vyDNwyYlKBzTZ/pwpEd5svf7jLg2vgnjZ2i3eh18Ex8uh4DJPh1wiqj e7D8iaBSJjsDbMSsDgpZ9uKWaOWb5QN0CHHT6TXe2YepWRcm/bLpMCa0PTk4 qR+Ly0MntK7RYcWu1YUrcgi3b960JjmZBsyzz1dznR/GjvHW6aQHNCBpxg7k rx3BtCEljjtaNHBOU4lZ4zqKOt1iK1cGqfC+hbmrcvs4HnFb3Df3l/Ued/Xx d6HH4xgWcqvdvpICWcctYiNax1EjdM2uqucUGNl60VrTdQIvZ/4KZr3Dw662 TbOBNZOoq5x07hwPGXy8PGQPb5hCvRe/JmdrZkC4TrdxyWYK5bUlB728Z8Dm q8bWklUk7LhYCt4/pyHugPRFssI0tr48dNG0nQS9VrHt7K4sz7eePTjiSwKF /ziebq6cRhfSU4XbR0hwyZ+zRM1wBj+1P5fP/TgF55uTkGFKxmr+Mjtrk0no tqaXfvpIxgKZkNVx3JMwlHb7g/4wGTs9VeQ48yYgTW5X9lGW938fyBEw5puA FgulW09DKKgrY3f9RN44tA6Z/ktso+CnLt3r9tfGIbdC3sBJi4qKX4d+3Esf g3yZKfomNyr+/EO1NL4wBpfK1qoEZ/3/9xMxm9+Lo8B8a6ZEbKZh+mYDXruA EXjMtLMQGaXhmt4S+eOJg9BLupT5l4eOJ8jNN1f/GIC2zrAbrQfoGJu7BMWa A9DzPjxRzoeOk2oXDKSH+0Dxj7lg5mc6WlrJ2VBk+iBoZ2KmWBsd245095U4 9YJd3EDn640MFGuW+JuzpgfMC46GhB1hIGkVVw/pTDeM6Alze15l4FfpJvOT oV0QPf3y93g4A1dpRip93tEJIkoFwib5DIzIbpwuvdEBZHXfdV87GHiuNVhS /Es7WISVXenlInCSya/brdQGQ0J6MV8lCcwoif/2hPodeNtaMy6rEKg3eueB 5N0WmJM1jO89Q6BV7KJ/3GwTDM3di5C1JtCIvbdc4H4j6C76Vhm4ENiWpfLj 8Xw9FAhEXtUKIFj76TgH07EO7qiGzsd8JTBd4fKdQ3erYdLAJJ6zlMDRD7fz dtIqgceWJK7aROBGOnfB1RsVIHx3f69aH4F/6mWWm2sQDm4RPLeO5bEvpKb3 pReXwOE6jc1pBIEWN6hHHmV+A/buS/Wivwis7ve6oJ2YDztjxtgM2Jh46IlT 5ZGwHBCd1XU24mJi9ZeRxnsvMkGA49fINpZH27dwe61b/Axu64/yFAsxUS1R Y/5IXyJ8szep2y7KxL69Pae0nD6CDnfosvFGJu7k/pq26tBbkC2SeHWW5eUl 940vpPc5QdCw5KPNrDh7yCBnu9QTLAjCsvQNTHzSsLHF3O8d/r4v6sS/nomJ CrtWba+JwfV/DmQeEWTi/L6xkw1syZihuSNagY+JK9WlblslvqDyrUGHBQ7W eH+uHpHZmoXrvPTtnv5HoFmoclWwXC7KzJ9tG/5B4PpiTUEF5QI8/iKXbQ2N wAWG4/C4ZhF+Y+wy+zPK8vCn/HMvDErxUL7ahTKW95vXz67z3VOO+mwO1oa1 BN4q3781PqMCNd4JC2cUELgcRNm87kAVCr82mBtOIVBnc/WqgrxqVIzcHDcU SmBe5e/eN8q12Fqg3pzmQ6DkzoWkgMI6NPTWkNV3JFD8YbtXuEoD/jsa/Xq1 Dmv8FvbhL4ea8XfHBzVxBQKF5v0KQrNbsLwlwZ5HjMDoh0/PXZJvRfv1vyVs phg494Xrr6BQOxp0lSV11zOwI8jGlKulHeVybPMlvjBw2KiwU8+/A3X1/f5q 3GPgtoR2rvi/nbioFuB2SZ+BV9eLacjWdOGkdM6jzTIM5Gf/VVXyiuV7TNMP yYN0pBmTHKbEepFjzEHLKYeOI/95BdoO9+K58YSbcy/oGD6dSGmL7UN3q6R+ Hlb9KutmtqruHMAPq3u3pnLS0VA8ukBmagBVLmDXvx4autgQYYPxg9hwMvnA 1AMaejcHhN0RH0bhiJxN5YlU/OU7qWH8bxQzF1IIuztUvMk2HaF2dQwfVphN DB+kYgK9TVEwdwyl+IdfHi6noLrwDoqdzTjSR9mTiHoyTuxn13Aom0CTqN52 LX8W/wQeZYYJTyJ1/OJpN20yHsvdIjTG8vfuHR/lPuIMNieke1bzTCFzMmFl ddI0xtJXv3PWJuEpyY13Kk2mUTylMuvoOxIKdu1/6y40jQrKPB/WjJLQ42t3 6NxjEgZR/AQinaZR7ve09TGYQvphoZkrb2ZwqPn+sjoxiQnvVRzHu2bQgeGS YBw1iezJsU/PiZFRuGHhcM/PCax7vpWT9IGMGUPpQQnR45i67hbJhcXhrSnc 35q1x1FNWCJ9mcVh8kj+8l5iDIsMfGb0+ah4RqF+MV51DM96mm+/7k7FE07W 9d44ik0/t//bnENl1YV6iD73KFpeucMdTaaiVaaoT2bIML5qpC7MG9KwKGdf 4NWBIdxdfWhXuTcNFS4XXsnbOoSeXPcl9bNpKPjxXkZM7AB6llnmhAnQcWKf UffR8F505tlxvKqIjsstUh2OYz3YZ1voWDhKR2/t6ovl0j3oQXpV4LeagYa/ rl+vzunCXZYvSOk6DGwuy8zw/9WJK5o3xDnsGOhNG978TK0TN2jzrpH3Y+D0 jOoBlcp2jDUNEfpTwcAz4c+o7BztaCdjNf5hmIE15prt2062od1yH679xUBB +bktjJctKLNB6sVVWQKpF91OPeFpRsNVPk8PHSMwsW+uc/55Iyq2fksZukBg ZLivX5NHHVpyi2569YTAlzs0Xxgs12BfeEp3cBCBXTnMD/P3q1GYZznaMpbA UofTWo20SrQX3Nj8O4PAgKxNfFNWFeg14Vh+tYzAA1+V18XkIyacm6B5szjs kVAco5JYgqqPMxrv9RJY1KvJn/vmG/oMvCNJTRA49c41UcE9H7v5K9s/srgT 5fGnoMU2B+tpZIXhBQK5unhTPhtlYpS8ctb4bwL3vM1Pb3H6jOdSrq1LY3GZ /+KHm1onE9F9KnTtEU4m/v5XXU7dE4Wl5jFPA7iZqPBu2+yL8CCsk6swjOdl 4hyhlxx5/Ta2iLddf8LiJEYff3uZ7A33vfZkiLNiy1Iutr/GIcCrWXbMi4eJ afMn/tztj4WL0SvSqWuYGDRXs0+OOwUizzKevV/FxIjFwfzZQ19BXme910kW VxWV/o0ez8qC9w0+54sXCexYjoeO2lwQO9B9cpHVZ0o+/hR/OVgA+7ZJJC2S WPk7ZymlyywCV/Gl1pJBAv0aLbgX2MtgafS+wuk2ArUOmdZmvyiHtcub1aOq CJzlGNCoEKqEwTU0l/w8AnneHzQRjagChXt6TuHJBDK/P3oTs60G5kP56jVZ nL12qdXEKKkWPKNMtuWzOLtFt6h75msDeOrszv1tRuCMeMuXDIUm0HiY5Nly itW3o/faX89uhoIPX2/aKxGo8i7mNmS3gtj7LWrCqwj0H+oPlQ5vgzXbjddv ITPw32LSXd+L7VCnlkBdaGZgYNSJlp3tHWDwW3Nx0zsGLrv66V163QmuvQtu N50ZuKGHM7PiVBdMctvFvj7PwPA+DwfJ0m74cduJclmIgSUJ3W+VP/SBSWEL 744ndJT/76xWm34/DH8pK+G6SEciruWxw3/9cLLwVFrfPjpG220N+GIyCD8U ZZ00B2jYuCjGdYVvBM5cyrtptZuG59ICbjjljoBvbIJj2yIVJ/McfK6bjsK9 ui/7DtdScf6aeqb++THItbGFBQsq0m4MR1PDx2E4Z5vFrdcUlPhpduMWeRy2 0jOvdl6goH0N+wdV5QmofCWx6uRWCh5I3nayvGMCwhzH1ul9IuN4178D/OxT MOI9v2Z7/gzWPQ7JL9OdAuv/sjfzP5pB8idN89R3UyB6fJ/iBuUZLCzwWysu RYJdV/RVvXOncXbp2KyKyjQMnrt6gyeJhAVqXv62btNQ46nx33pzEvqOvSUX lE7Du1ULYkZiJOSj8TOKYQY+m94oM/efwgRveWuOI2TI3jzmqmQ+iWbrLM34 HpAhha5TziUyiVpbVgZ2ZJKB80oUr1TtBE683WrvKkWB6JZ0F2W5CdzStm9f 0AoFUo/NVe+hjmHwvxNnh5WooPirkcc3fAwVLXay7bGlAn//pzA17TE8tC5A pbSBCr8yI84nwyjWXGb79d8yFTreTG90DBvBlCqN9MOyNIh30R0TIoZRNM+z 39+HBjXrDe8zw4bwpqxCd3QmDeivbYyO0Abxn710d9IgDT6FrJg4qQ9iHH/t dS95OmxfLRHeMdKPxy0Lb6rV0YFn0wGh36K9WFQJifEMOqTt7D8mf64Hwz7l DRULM+A/jyghq9fdqL6Fmct2heVR1vQ182xd2MTcqSjryoDYB10rZkc6caHy rPVKBAOsc6rUCYcOnMhpMPzUzYAQknRyzHAb5sW+uuY+x4BbQffmOoTb8Enw +fZFPgL4NXa//hj4HS81/3m8cRcB2tFeYSqLzXhrLfnIsBoBruMdZi9Mm/Cp 0cZVOsYE5L4p0I2vaMBLM3s6je0IeLQ3rSdkVz12XeIaPxdIgL74NuIitRqp Uml3tGIIkHB8nnparwrzrrAndKYTYN8ncc0irQJvKnm0rSolYJOxYXkmbzmK NjldaGsg4LN0sXBIRwnaHNsUd7SbAOm1+5aeBn5DV5G3SidGCbD8QS83Op2P ab1EOGWGgAm2eIGdq3OwQkbNaQ+TgFPz41tOumRgHsXdgYfl2V1EyOgkORX9 mrINny0TIHLl0fi9y/EoLT42Gv6XgJfqw6duBobh6WEeNt0VAkhXNVsXu32Q S+pITCgrXtt6gy201gbOFbmVePzHWr/39fVdhUGwceOU7ao/BOwtOXvxwL8o UHrpX7p9iYDTVrvq9ASTQAy9mUNzBDTd8ev5F5MGrt7kowdpBByUNFM8tDEL vjd2zElPEtCpBatizXLhx0Yjh8J+Aqqak3M2JxSAApfN7unvBByfMEv2nCmC txpr3mVVErDUTtf5JFcG4h+ET27JI6BGaBfvkfxymEnVH5RKJiCKvUbv6sVK eGptzNEcQgC3S21B0s8qYNeO9FjvQ4B8S08y93sWV0Oui604EODPPOzuoFgH ZWtTM16YEvDA9m1yY0s9tJXIKRVqE7DS2hrLcbMR2E4ZfXy5nwCtNuY83+pm MAg75rjtPwYEZMhwHjnQCjbOnTumxhnAZs8r8NG6De6MeZw5W8OAmZMb40bl 22HoYYWhnD8DIj49fbmmogNUNHwp4TcYkFi0vrPPvxNaaiJ9804yIOqAM0eD YRcEt7v8WPmPDnuORTuODnTDS54Ojv19dGDHa7ML0T1wmOESLJJFB/9riSOr LHvhM7fgSXZzOshv7+dnTPVBnNu5LYlpNDB3WZfANjwIU/6yrykeNCBvu2Lq HzAEHBqVLVvO0oCr+t/crMowfPlV88tgngo/ZatjTr8ZgbFp66WtMqx4jcza /eFj0Gdd8H5lngLMlAOl4dQxsE+JfT1YQoG/c3Djsto4+J7JFX9nQIG3R66T mofHQUxCPPWwFRnkhuNqlcQmodg6q0N5NxlK+tLP/LCehMcnUu/qkGeg+LYT 50LmJCT15ZV8uDkDgRtMd0dpT8FpfzqHucU0aKxXYte3I4H7OfOmTVunISq9 MiQpnQQRU0HOS70kkDOMeLTrBwkuzEob7dYjQc1qCaPX7tPAU1QuFys9BZlr 3z7OeToDP3fcrcehSRDpO2X5s2IGNtl6TIi9nYSKwu6+U2xkeDPl4fBsaQK4 40+XbnZlcVd2pj+weBy+NkVFylhSIGzgAU/rrXG4rixHzo2gwO57nzQsNo3D N0n6lWNtFBDVj/Hxdx4DZa95BX1VKnyKtSNctUdgdZtK5Ao7DdL4OpTbI4ch 2DopU1eRBnl5x1azEUMQtPs253NzGlzn2n581dtBULslClWFNBDyoJlPjg1A TuvjTxWTNNBMn7xcuH8ABMeumKWuo8PJrsnkK4198JQRu1PmGh1aSgf+HNjQ B0XF+0XLfOhgNGEkJ2HRC7+3fuI5/JkOhQZ27ho/uqHtuduB2jk6MIrrqU/V uuFSXHjMoAgD3K3C6haedYGw2oknLQcZsO3x87JHgp0QGcDvctyJARdbtkYT JzuA0uMRsOcdAxYHxxhBru0Q0nzE/lsWA8KiReKIylZI0XkhVExlwCZ/1Rux 0t/BJdxEbS8nAa/35+rPv2yGQy+E2dUkCPjO2WNfadAAMRFcvUr6BDTqStXb fq2Dg61ebRstCFD5rP90ia8W1h26czDMmYDF9OJmv5vVYH6B2Jb5nIBgVa8p udpKeMgbV24RRoDzhrtCP7ZXwM61KefTWBww5XbWZSyXQW9RhtyrXAJU8/f+ DEgvhglptvjVFSxuP2NZg0Uh3LzqKifUTMBz4ZZfCuvzoKct4UQui7uu1tfW +NZkQYRGmjd9mHU8Ln55C/0L1PveefZtioA7gjfiSHrJYEt//HczlQClKtOl mxdi4MBr0UxBggDPj5IbMoWCYWK1xv3IWQKOnhBsnj7oBO/Pp0kXsrj4ezXb viLCC2/xt9fcZMXRS2/kXIpDUOXTyLkMFsc/RgkUqXvG4T0JJPnTCVh1hech aVsq/leyMXnx/9/vHzlqZIPp6K2i3fxrnIBrXeT0gvRsLFgwiwsaYOXj/MDE wN88vPx8p2dxOysf7essf57+hk891rW51xHgtUnw0lhICf4yOyTQVUwAECm/ nccQdTpN6itYfUpvfatu7fsKvLx/OEw7loANQZrHvVSqMHpjmpzVGxanP+LG C4PVyPPghIaYJys/F1e9UXxSizaxX2Jt7QlY5jj/aJVEPXo1WygYXiagt+IC 1yFWH02z6kyY30MApUznlcNyMzIi3oZmiBAwsuW16vmQ77h/wa+L9zcDpD9b q1pPtWG2j/LquEoGnF7WSN+U2Y7PSFSfkUQGnFp37d1/rh04aPDFCX0ZUBHa 7ryHvwufzw3ectRiwFX5MLplTxcOcFz0OSnJAK2XZi0JH7vxgHf73qo/dMib Vz26VbYXM+Psflek04HbYDZai9GLfGvM0rWf0yEooHCTYWYfntAY4Hc3pUN/ fnDgnNIAPtbY8pGNkw7mH+vqHs4P4LLbZJdxL43Vp3eHlWYOYm/RuhbzVBoc Wu8qekd2GO8d8i38rE0D0folc0XOMdy8hdaq70yF6iVVgRGzMaRGUyy+qFNh SLHiWVveGMb53C2d4KTCI7aUg4+sxtFMbkPDcDAFZruWx67nTSCtir31QgwZ Prp+/tLGNYmpfnfpOeZkwL0TwnZXJvE6J6/gigQZjr1xPP1veRLX2vD/tIic gV2TA9X2CiQ0+bM7vthnGsjPz/rnu5Fw8c2jNS1q05AruHfH2loSRhZuLppY IMH5ovqylkvTWPyOa52MOQkKykjnzt6bwcifMpmP5KZga2frodjsGTTdVxHI PTgJD+U2jI3/mMFjnhdbCl9Own8J6WOKD8nYl5qb5zszAWYte8PyblPQzI9q ohw2DpJPtW/oJVOwtvyOuOzxcUj2SKCVjlJwhcOw/hKrvwi6n/klb0jFJxds z7mpjkGr/sR7GV8qqpmc/8OsHIVvie78P79RccNOCdOnAqNwOsvT+L9tNByt ddwenDgMtlOc0QfP0vDxh/7obYwh2OXBVn3Im4Zrvvlfsj04BDnb9ym/Hqbh WVKEwTEcAGu+8b7LfnRsWJIREKjrBeaX5tLkdDouePdVnFnTC8J+g+szuugY sOZK+ssTPVB3K9OJLM5A88X/ojaVdUFu4g/9DcBA7W0+xJPlTvC94n70lzkD GScHNrIf7IQtlLyojo8MvKDoyuaX3A6brkZcrC9iYI7t/WsfRtpgbotmrn0P A18/b22bE20D64BAj7JZ1ngJux7vjvgOX4lrr0t4CNQ/bbNViLMFuB7H19ls J5DX4tajvHtNcC7BSuqbMoEni0M8dvU3wJLrRaur1wkcpZfnZqbWwumba3Ie OhLIadMu+USuBtKjGh7ZehP427NAxi2tCrREDTfIviHw2NaAt9/2VMK3qomV 0o8Erg1Kl9ZJKwdbNqevOz8T+OCvi7vN+TIQCQr5ZMry1j45mumGs8UwtP/V cxskcGzMJL1MvxDWlp6a1KgnkD/SWcVdJw/OdzvcIrcS6Clb1GR/PBu+Clt0 WPQQaD7c7GX6IB28W/YPf2Z5M5/XM2qJbSpI2Wdcrhol0P3Yr6jDl+LhsYaD RNoEgd65Yh28geFQRKoQsZwiUK7EMOx9vz8cPZUrS2bFA9llUr31SqArJGam zopdC/b4TH3xQ65Sj3wL1vW0nqg+j6Uw1FBQ1b3AGj/9Z97VGr54NBgyURFj zV+/qklMYEsqbruX8+VzN4FPOosHrsum42GBlpG1rPXfbj5/D7Zk46wUUwjq CIzhdivYsD0PZT9vDDleRqDD+VP3xXYX4hrR5cr1uQRGv4/r2i1XjN7Fi+zf Uglc1bwivnNfGT7skKyWjyJQ8uop3cdh5RiwsN/vYSCBtj+UThVtrER+Ra+u N54EPm7ROaIdVoVcBXzHPe4RWD0ef4F/Qw2mLFvfgWsEvrHiHF79vhafTX2s ABUCxS75X1B73YDLYGHtJUWghoH3nAV3E3b+/VwSto6Vv43nDV2fNuP9V+3s Z0YYKBH3RPS0UysOPD5QQ1QzsLRTVWPOuQ2zckVoNz8zcFq462zk/nasGebz X3Bk4J+tC4NT8R34t2aXAgfL+/lPRHO4mHTiN9kvUQsHGWh1R2NeV6QLf4hP xDgt0PFjVmXbO69u5N5YVSVuRce+2oTTDKM+5CN9ydNRY9Xb8Zsbilb1o+3J +1qm6+moa81BCczpx8/fdexPVdAwL6Ps9iHhQfwpVNZ3lZ+Gn2tvZX+rHGbV VaQW2ygVUfqNMq/9CCaH326NSqeicGnIzX3rR9HuskB7pS4V5fc6/menMIYB 1+Uslh9S0FOvutrhwThqHuMU7FWl4DqfWr3CpnGkhH50ePMfGZWipksUtk/g SPBhlzhPMt5QP0okNkygyMGG1tcPZ3CtPD1RQXAKO1q+DUcozuBUa7dxiPkU +tfxG0TQpjFc+qDQuvQpXPfQaL2n6TSqtikHSZ8i4e44XTVNJRLqUy/RUxym cX+o3uIJ0hQuyoSInSicRk6H640Xwqaw5d6kdN/KNDKfX1jI+DWJjyklyoP+ M/jkXM3ftMwJlPh8vHoxiIwi0ksMH9MJ7MgcMvvznYz72EzuvOCawIcyK19H 11IwQORQ4E6TceSQqzmj5ktBXRPhk1Lzo3h3S7nf7xtUvPvh2IZb6qMYe2Cz Q9ZHKlITaAU6fiMocFZO+kAHFY+GVgaQNwxj9eD9d6+VaZiURnUuMR1C8xPb 8yzsaEjNr/lwKm4QuwOTWeVEw0yp5by03QN4TcrQy3yB9dz0k3ve3ejHi8aO 4fu20THFlRx4MaUPP/aFieWdpuNlqf15gVK9KDmsk0OOpCPTPWZzhUAXulMK T2fuY+AK8/SA86lOlOXRU9poyMDT+mw6ul4dGL3Vv1X2HgP3e6p4ezDa0Eg8 1kE/jYEPune+Y+5oQ9WP4XiljoEn/x3NNcj4jqb3Qq+sm2Dg/bjS4U0eTRjt R860FGHV0Y3vflGTDWgtU3F4lRyB/h8NCn7q1GPNmYpwLSBw191XG1TSarHc vHpilzGBZkfMTB+uq0F/4bcKqTYETlxU1au6W4U/0ia/NjwksP2yfaZiawVa eD0KffGcwNft+6265MtxpVjg8Mx7Alcb5vm5bylFTkdP8ngcgcVMCWd/gSJs 1fhPDL8QOKM9svx2VQGu/5DFbptPoO/xmz8KfuTg+vS1Wj0srjh3rOhsms7E iYHqFwK1BFaOD5V/+pqGgj/7A1nvr7i1uMxcJDAJp5fDNg61seLUa/lXB6NR 2SDi590uAhUW+IxvRwQj6XH9mkYWdxUOvz9wzuQxfntgcYjRy+LyRJpbfsYj SLWbf9THiuvijJXM5YPhw5JJewDr/EezJw5wOESDg3C7ERdrPJ5g3csKl5PA /2SPkB5rvngeJyv3R2kQE3hM7VITgWEelrJdjZmglHeAY28Na/ze/p1H+3Pg yW7Jzw2lBP4SXFLrms4H4ny5qwKrj0T8mwn2WvgGjz6Itl5PIzBxxu7s9n8l 0JNovdYkltXndq70NHGUw5uLionbWPksFxJ6YPmiAm4dU12fwcp33G0duZPr qkDwjdM0jwuBbrF7o7KEa8HkmdKGnZcINI3j/C7+vg5u33KpnjpBYOfWgFVh 6xvAt87ioZMii5ufXlW5CTfDXmoR38oaAl9xSwvXB7VAhuXb2D9MBs6qDJGn +Vrh2r26D429DFS9cH2TAls7GJs1p40lsDiqzW99pqQdVn68a5f1Z2DCvtei hY9Ynu8V5nnqNgPjzkmKG9E74USYvBifPANbn5QX30vqApX1fx2z1jFQf8fI pVIzlufHXldSotMxafCOc01TD1g+OXKyPomOzTZ7njp698LEpyirMS863jgb lCJ/uA9G5C979V2lY9Qn1SKM6ocjhHTjXT46XknVLHxkNgRJd4Q+Xzen4SfZ /j/TvCzP71v3MEmRhjw7HtnuLxgGOZO7r3tX0dBX2TlAYe0oXE/5KsoXT8WM DySzqM4xaNPl2T3dSUHqVee6q7vGIa/rXWTTRwrKVIho3n44DsGHykzTbSn4 vm4x+cGGCVitevmN808y2qnete0zmIRj5qLGWlxkdOHiXD4XPgkK35fCXjXO IDRQPvJPTEKezJc1zFcz+HPY8Ze60xTIz75r4haYQUtrTn+FVyTQ3f3wWyf3 NKZctBO+0UaCsQbhbtkaEjr81ZBpEJmGTRNvG794kZAIulDPGT4Nz67JF2j9 nMLBGzM3toTOQGXtzUds3ZM4eSsnwa5zBsitJB7ugEks8f9LbhEgQ8l+6q5z xyaxX2/pfq8vGZKMV5l/S51Ao/ryzFRbCrzt1d68y3Ec8xacpF2iKGBl0MMb vH0cTQ07rpxpp0CnzM1/l9vH8Gjqwz9rVKiwT2ZgH/v+MVT+nRfstEwFlcH+ NVK1w7gqQ41TS5oGErlvQnS3DuPNq8lavOdp8E28/MRlpyG02axp9/gzDdKc FEggPoh38np5JLpoUKsTNLb73gCqLB4mcv7SICFUSpC/oh8HDAZtv+rSYU2h 5qsliz5cc7adm9+BDg//aCpwZfWik7EAz9X3dFBsH89X/NeD+YKcOen9dCB2 TrrNh3dj+8x70u5LDBBwFRefqOzAA3fhZhnL833aGlv8+DqQj/H9iXIQA4Dx zcDTuB03Gk1DI8vDQpc9b/+rbMWZEsqf8QEG7D3Lf3mf4Xe0nB+06Z1jgGxJ i5jyQDNuPv6+/5I4AR6PrZo3MBpQv3mt7vh+AgxSIw7wPKhH7ZvkQyc1CTix mHZR8G8tipGM6E+NCXgvu/xc9WkNxqdG1UVYERBQvEcilKsaz86e3/fiPgEL Z9KfKL6qxInQo4FGXgSsHtrGv0WwAmvuG9kyXxFwC4KeVO5GfKndo2YTTkCy rxDvrr0lGG2YOPYsgYDvogGn3jALccb6AE3rKwHe59VEprLy8OvLu8zEPJbH Zs57nnTKRuW7c0HJJQTkndlyLedGOi49WOt5qpLlwfNp7wJmUlBYot7jZS1r /tFU9mu2cbg+bua6fQMBjpfiZKj1IfiUTl1DNBJgO8lYsff3xoBxAUuBJgL6 Deq2yKx2hGfj55z+/3tvPt/vh09PvoXTyXf1FFle7uelM252Ohre2w7yKlUR 8PlMfuZkUhKIabeMd5QSoEPRERbd/QUahJQE1xcQYOzJYep+LgukT6WTfrK8 fdPCWrkdb3Ph+52ICpckAnbfTe/u+V4A7unLwh8jWfELK/0HfMWQ2uhx2SqQ gNQbl/37tMuAfNZdspmVz52beRrulJfDW7lJ7j5H1v0u8lZ8Ma2ET7aq6GdB wFo1nYoNv6rgnW0Y25AhAZf/uthFBNcAJV3P9oEMAacW2k1iqutBrPzEuRJh Aubr1m5dMWkEneD7l9P+MIDjyBrHvfNNEIJLNN8GBjwqKtTP2NwKP73ai53S WfuNK2Pw3sU2uFXWKMcfzIDF4i1lTRLt4DSmLnzmAgPI/El1cl874HH9Y+3F gwwQW+HdKe7UCW8Ljrw1EmEAnZMSvk+lC9Dq5PPtzXSgRXyIf43doC35wepD Mh2ef9IsbfTuAT0R69IWTzoUJn7/y6HVC8ob6xmW8nT4ZnnX6UxlH8zp2dk3 rKbD7rkrr/W9+mH+p0kBk+X5wXEfg3epD8A2YnvsM3caENbMbO2cQZBNGz+/ uoAK3nrfY0zfjMAjNb6b8U+pkHPoj8Dp/1Vo7tFQ528c31RbbtWYsqnFlssW QpetobO9d7Vt5VZRaNddspLbWlSbsSJhWbKRftmsJFIYVq2EjwwTETVuaWMy ZsZcvykMuy678/vzOef9x/s553le5/2c83zFw9xQ9GUdJymygssudSl5iNRa 0xY+LIGRmqtP8903sD2SffTEhBj2bGGJ32I+Bjw9t3Pvi5FxgXHQ2Z2PnEJe l0msGIGpq+K/K+NDopuSlKocw0i45LWu8yjy4oryrohFSBoYnZhKE2By7ewp mxIR/ELWX+vgClCVQlObPyGCXRbH7YWeELeY9q+lQ0KwCs3X+xcL4Rqgw7rb KsCOEHqeU7UIblYpg1lxAvhb1+V5TIgg/tTHu2yHAJFD5enM7WNg/LrhzcXf R5F+M8aPVjWGdE/ObutwPkyPm9utLBQj5ZQkXn0DH/O5ExsrXqn6MiystOSO IJ8m0TpGl+BeWoxR8LYRWBt/ubs6QYIWL4axvI8H68SEN2EuUlx9NHNay4qH Uu2o2zpJUuSrT5pNJw8jdF/IVHmNFPLdE3u/3j4EN5+ZCraODO7N/HUXma+Q SDl72TTLEPxDsLi6axBKv8vjJ2UyXPLjtL3RH8Qc7bohky5HRbeah8fDARQa PDEJ8JWj0rVOUrl0AI3m+WqWF+WwuBnqanSkHzPfPkp+XSpH2+fJA2eFvdAr vaPOk8uhWR+8PsSyF7cPN5201lZg9a7a1CsxPTi9/+mnvhYKnGCmZN5bwkXP 33PabkEK2Ol5/nLH/gXmTYtkeomqOX5YcXE28zmm6M43/vxNAaYvg4rZ2oUH vj6R57sVcMeTdRG1nZAqRooLRQrIXEZLnPZ0YD67ZiB/TgGfrbucDdjtSJf2 bgmlUTjo1fF8/Os2+K8efUUzobDDJGqup50DfsFm/bRdFI6a2pT0O7Ti7aLi PX0HVBz8bmwu2qkZFyy6E0aCKKzc2Hre+lkT9hpu+b4wmsLsj0sPpuc1Yki5 mbf1AoU7BQa8n3MeoS/nulN2BoUzm80b4y7XQnPcwrn5KgXn4c738en3Mebg H/f4dwoLEZxsVnI1PLR/S8wspSCLKYj99oNK1GkYrrGopLDtWI+x+ftSxIRo v8+toRC38O/ja5Y3sXhRRpPNQxU3Ax41nuzNBa12ythHxeF/xw/NW+VcQMO6 D2c/bKTwSU4Wy24hgvR8M2+9VVXr2H1vGdJ+mURq5j8ZUun7omjnDrkUkPFJ I65WHYX+4wucp6dvk3WL3WMaVZzftPELYm9VTuqdouXvVX7Mf3LnbZ6pIvd2 28aXqfx6aZ6faXO/T/ybXv4sLKCw838unR4PasmpGmXCrRwKT1fnplbS60nL gZLRsVQK6gHMsKJwQipyTuxjnacw7RoQuDTwMVF+tdx5IZQC+9DgB940NrHz YD/gelHwTlTncOpbyKDmGgdLRwpDZ43nzYI4RL+/SUyzoaC92Hg2elUbCU1i xzONKcjLOjb+WttOeNH7daJXqDifVCoM9ekggZNXa5RKBboZq1rfLXlGlpTT M5YMK/Cxm6Grxp0u0rLfoLeArUD4tvoVR5XPiZaBuSQxTYFpL79QNc4LElsd n9AdosD8wLFi7hUuSZkUfPz/f9X4jJW5LKteMt+dU2O2TAFTU92TZbO9xJtf vryTL8c/RLjnBqePzHL3rVzWIId6XEaz4/EBEscwLDoSKkdYY7904pOXJOC4 Jj1wrxxljIaPwsZekrc78v/RWyvHThvHtfcjXhEzh/iqiAYZ0uJqhsO2/0UO 97vIdH9R7WuDSVbf5F9ky73cyCAvGfr/1nJMihoipXYOb1fNSJH35Oizh9bD RGFU1BfGlmJaw2pTrHyYtOrOCX/KkIK17IvMalUOsyemqzv1pVhxOmmNxrUR crhBa7mjlQS2tVla+9+NEFv9HMu8cTFe2Ky/desAn3jOan9WyRKjiunUy5rk k00F2j72W8Q4c6Ms49qXAhKzR9KWuXYMvoxz2UHZAqIxWGqa8VwE5YpFNz/j C4jCljEQfkmEkPGWc81MIfnDe+qHiXdCRNWmsc52qO5/m57i6yreLqPHPt3w kYiYlSezdnkI4f3O1/BPPxHhCf5w71AXYnrqDH3nXRHpk7ef+qZOgP8AOLZT 3g== "]]}}, GraphicsComplexBox[CompressedData[" 1:eJwUmmk4VX8XhpFUUkrJFBn7N4hoQrEikTGVUhmSSoZEJSRFEmWWISIRIfM8 s8zzcOZztlmilCiVqPCe93w5X/a1z/U7e63nue/r2lI2zqevcXFwcISt5uD4 /3ds3P8/7chIcVHnZY6hsCZ3s8f6VyDx2exuzp4+5Fr1yLHiSzm4XFpxana6 GMvHpAwkHubjAcazyZ+mrfD6emJUkSIT9Y2vebqNdICi2CqT95dHcb+klO+h BznYRU1u85EaQGd/SvUqVQZmvwrvtPKox81lfl/Hjwyjz4JY5kW3FvDdnL2j P5KFN6UqSVOr6bDuo9tRI/FadKr0ukEq7YWgx3kruDg6oOeXgshJ01hMeOM0 8/QGA1bM/3t7kULFWwKC+S83k6C/qIpa+aAf1zK9HG7szELyFE/glQwKDix8 6iv6ScPYbhOFtpPxcNQtSSmXux/Tx9sWMvOo0FuWtlnRmoR+EREipu4skLTf 73M+ORV4Npfds43qgB1/AoUb7tIgt5z/vLpjOXaOZOwy2c6C/9RS1i6sZ6Lm TfcTy6EtsFiW2LTFkIW8lWN35NQacceWiUjq82ZMdY4me9GYWHHg16GKliY4 rOc1yFHIRFa5nz1nPxNsousjH6k1YLW9ld49CSa4jeqTNhQ2wcu1b9UqjGvg fkXBkfuHWbBOT8BCP7gN73w3sZMxYACnpYXehg0EUg2sx2eMSqCZPre7tYeG bR9+Lpto9GDwwHhvzOt8LBn37Ui+TGB5cEJkpyoJcj+95Zrop6JUld7AirsE 0DaTgrcy3+AU50CRawUVuBMcSOnKJLi6VrEjpy4EPhREK8v6EtBjrK52z5OM 7dwvQ66mUSA/9fgiVzSBbX1OymIrQ3GguXjboAoZjW9p/Un7TcHYy3Y7zecj wF9LMC33BYHn2+aFDT5TIew4+a2qIAk/ja2cqHYkYPMBu/HYb2ngVqNWUf6+ C+b3vA9tF6WD4E+SiFdUOe43OFqeTGXBObkPzr8m6agx3srYeL0Dfr+sUQ++ xJ6bcUm+qP2Iqwtet79cbEGhYxLvxYcY6LvxbwU5FiGAtyjplxkLE/5b9eyF KxNCOKKruF2bMD9AtMy1hQnn9wlHxo43AGf+KbrUWQTP02pfBi+y4KB3gY2Y eiGS1wgmtv0eQb/FFpqiexmEZuiaZG0hoa1kanlTZBqwWjf9mNQoAOHv9W/i BzpQO3v+h5tAD0x4Bk7TTw1jlPtTzScTFdB9O1isMncEJ27HV4Rrd6Lttta/ ymeoKLboCd6pA8iM0w9X+vsKTgRev2XaNojZXscaPbLJoPD9QTHnNxKu9GuL /hZLA2+60ctNRzNhy4+ryolGdfByi+vPWwFUiGu0PGOV24IaFzQUGQp0CKJp nZkhCMxXCrufTq+GFT+tlkxYLPywfVWAjFQHNpkd2qeu3oDritMWP8n1YZQy 9XteTCtYB54r+i+EiXv1AyMGJ5nwsPQ2HLtdg553R4UXO2kgWOn719GlHZKW XlyrqsoDQw3Lf3t0WKASMGM7xknCuQz5FnxBhemOC3ZuMwRu7QyeCp8NBYbN 4yGvXxQkPJ6QbDdSMCn5uYRy1nUsss0QOM7bh5J1lzM7oyjwZOrh1qI6Msaa N9ztsiWApSK2LpvfHzqml0V/l5LA5YDNtXf/KEC5fa02//xb5PdZkyFzmAD3 dLfIa09oeHg9ucPVvgdUVhk4fZUg8KnfeoFKuxI0PL5+3zeOTpTlvVKw+JGO pjbOu088qYTrvq5/ZcgsHJRZPqURxwDV0g/52ze2ofZ4SHynAwtWnVobeeV7 DSRLvo+8m9YCWyx7nx4cYsBN84B9O7/U49ww7Pj8mQnOgQ2ZPBnsPKwdjAn2 aIRz9wM0vVSZ+HRH8LRtbDN6Ve4POWBfj/HG5oO5wiwMzd7+lC7YCoTa9mOG AwyMKikJE41gAUfYnWWRlGp83VDu++EzHQqot2ZGLTpgS2SyY4NiIbiorAm4 vYuA8wcuC9++1INcJQ9lL0bToC+g3VzLgcB/GhKhDyvTIejrbB7rDhU9blbn E8kk/JzLKk0VeY3pzT9bNZ4QeM6H2zBQiQx2E7V/E35S8PcI//l10QRsqHHW PDXrie7bfvceuEeGFIGVIj15FDAWMsfIP3X4XkNF/Wnge4xdo/70OG8BNBgd XrPLiI6SMf1/Kn8WAemtcVT32G10beLV/ypTj8Z2TTd3EJ1waZrGqVjbj8/z hz9o8TcD7d5KayfDUXxgP3+Zk90LsrJNDy7xsdBhd90h+WF2Xkm0HxX5mImu XlD1l2MYr8j/+NQR1Q2/Td2iPvHSMa5M+uaoJR0UX1A+buhNwlRf41NJ2W3w SSw64GwGCcJ/U8b/+1uBm4dsnKJMGPBN9L+A7LNMrNFPsDj3uxU2f4Zn2el9 mCuSY/S5og59Druf1z/ThSfVeho3r2eh4A5KPFFSBWejLlvWdRFY4733wu7D DFB5dX21rmwbfi40kcVdTPjh/V135yWEZeH/bjqn1ENshHRvGJ0BKdpOozYJ LVi+32Gh0Z4BoocSlQL4CHT4sO4MIVYBzqe5XtDWMjBTrdc540AX5sotcXba l6JvvuWRYm8CiZ3rNo2GdgP9XdRfdSk6LrEYssuiBITxvx70216A09aalqus aaA2+Gr81Yoe6MmtnJldlQLXFJ1trNQIELw09zWxlYT2Ft8kupWosGWnSI5h BjsPVEskaN9l8JTTX7vND8jo33LQOnaYghMHrJ8F60TBxZyEq/7ZBNZ2X1Y4 1E2Ftdz5SYbHSOijaThc4kDA387KopSvqTA1evTAy/peUKM7i5z/Q4WHNwf4 hi/lo4+45erufQR8tqLEBqylo7m3jvB2vm7wPRH4tmmchQGjOQ1V38uwRm43 RetmB4YIh6sL/aAjRyM/UTtZAV77d6yaamXh2b/2I8fyGFB8u0rKsrgV98xX /WejygINpWgTPqc6cEzcLC/v2AiHxP7u9slgQuRt5bBObMaj4x/fOG9nAtcV d9bJgyyc+33rdUtgHQg/nF96cJGB9yw/bi+YasOmXLO7Gdeq8NIlLoWj71i4 xaQoUTazHTSejBeEyTKQ5PXx83VOAkb0XsyklpWgjwZTjSFNB513r4I06F0g mvz3X1dIBNaFR3w0PzGEc2qOMw/2VsL+4hnusovN6Hv+ws+fm53xoOun901Y Byf5BLnXOFAwwqfwmnpjNwgVDtMyWSP4+QV3I/bFgU5pm+aO3cMIC++6FBUp aJcsm37iZBe6ROa8nbw9hD22WqmJClVQOU8wpl/14/o9CgR/GxX6eHTFbze3 4SUTLbPoGgqssP0qeLqtDtKDurPtqrNghY5IcNJ9OnhsPaDwpaAXn7/kOim4 iQrOgoZ5kZr9WOkYGTTz8zV8vR1w7AT73BUmmzj+mpBx11/TVQkrcrF6t4je slw/GhTo2h0TI4FP/KHcNksaJu8Iu62dxYL1z8P2Xj2fgkLXPspVuJKB335L 8q1FEtw4UOewaX8EThWuD5YpZ8FLMfvg0X9UrN98YXtnai90NIePS+YSKNZU L3o2tQDfGE2Y7TPpwbs/D26au0DHJAuN6NCPxTB38mb/ohOBHwOYvc/f0qFl rbPb+yudGAxv849XsWCWq9F125NSEHjx1+RBXBusPHnl74QYAxKv9YeLetTi XPTTC67qLGiy68w7e4aJv4s+BhaubAZKRNCdfk8mPtPcOTf1tQl3S8pMMZfr kXuw8OR1URa6/xGnXrBpBaiIcrtCMDDBafafsS8Lrqc5nn55vgZLNtJ1Rh8y wFNkyXGXbBuYPXOHDxsrgFw+W3Guhn1e+T1XL/zqwA5hwQa3YjpkfcidFVci MLXr2bl5zkIgS/7Jfp9Mw74ZrqPZlj24elNWtd/nXAzvLrgXcIZAVdnQn9Nb SECl3rhU95mKtNMe5aMPCKj75izt+SgZ5R7aqhrGU+CwYgZ/bBAZOJ7HV+yQ C0S/N11HwsMI4KUX/OL6TMFv/JIXL6iSwdcmvlnbg0AOrpyyC+0pCBev3euL 6MVUPq0nz+VouHf3vYSjJzJgt15mZqM9gfGjcvrkdho8fiadP87qxkN1l0t3 7Cbg9Dq7uff2hcDzOy1serodfnHfTKtZxwCOum9XjPY3o+Danwk9qmPIq3wm XFX4HWhz9A4LdTCx6evNne0TpTAgppKTP8ru7WDLJ3PiFZhO+x2yqr8dBipU DN0jCJwuGYn5oN8GRzeod9PsRvGf1lTLYn85DuVOcnkq9CEl7pymy3YWHjj2 bW2GfDmmfy2+PqwxjPR5Ay3zPR0A888S7McYeH/E5/jJc3SwOLLrG0m/CG+N FXcLX+6C4xquu8bp3fCmZH55gTcfN4hq9oV6M0CxyajaroCOTetFiqu0umCD nadrj3I/Wp8JFRuIK8M7D8yquR+SUGM+um3kNXseShyL864WQLfT/gcY2Idr FM1+xPPT4aFg2im9iC5M/Ln90o2fTFgcT1/X96cYrNd1BOirtcAtS/LBQw10 cH3k9kDvUT1eWXv21o0bTMj/Ofz7pyIL5Xar6hS+qwfGzhf1RifY/CCU425E a8WfqUzZEM86PPjZvVK3m4XPjbWzNQzaQUtI2ezaEwbSu1wMVsSxYMx+gmtk qhKPqQjW9g/RYdfMUsQGn3ZoEjjwOcO3CE4HbnW06mOBpvlJ+2cq7OfKuWl7 +CAN/kud2rLfh8C7V8FA5OpbMFY29PBXp2Ih5eg2jc1sHuu13Dp++AUKZ9tY /MkiUMQ8YaumKAVALZRbZTsFr7S8P0ELZeflhuNeF2nWUE76G5I+QYYciztJ 9/ZS4DIhdq3wZhwKFWa/qvIkYF+cR77uJSqytoiuy8klwdrnj06+siSwf7Pj xnP0LBxxtKLqRfdgTvyOnhuhNBzxnVmzGJkLb+1tq/abEhiDa1ofX6fDPRMh z8sCXegxHrpC9zcLzue+0lutXwq+nx/1ntFrg6a1VtsfPWLAVb+EHiHReqxQ 0ayrEWXBaZHApCYlJurRm/brxjZD3UOZqFx2HoTIW/Hvs2zCKagwir/ZgP3F IeL5I0zMGnjgKUY0QcLhzMf5l9jep1qgrHqBfZ9Ux4gxN8TIdBzNeMEAM0/r 9FdcbVDJ4nl0UiINpRyEFfMERzBAmyrucLICFkWObGzv7EDRPeFbqy/FwM/X D1RliyqAo3uP4FJfL7q/prrPq/eAGdfaVwpnR9DUNrFD72E+OP7X/CR17wgO 6bmr3P3ai/nNReahbSR0/+Zgn541iN2uDVePBBZA2s9BPXvSAPrNnV24T6NA sG7J+pWO3fh2S0mfFbvPdxg8UJh6VgbjXJOzT1zKQPX5EfHkJBqoDsfxGxt2 ov/lFpM1QINVkRILmYV9+ObLq097Iwoh+LFG3IE4JnJHrPkPH/dgxt3FAAar AudErdaUtveh7O0i0t4NXaCSe/hE8kYGnm3YNLVgx4LmIkvD3uQiTOkyXLJQ p8IFKkWed6wbrj0YuuVw8gVA7KEFr9csUOT8nlwkQsFIa6t3TBIZ9q9iHHL7 QeBZGdNdc+nxuLjpMfFQhoxBv+5uetdNRR7absppg1TY8elLLX2EnattGRv7 D9JgNU1TyDGuF60bzTQqFQk4uP5qnq3dO+BK/aP0Z083+JlPfd6dSYO4z5rW plnFKPxVzTalnwX6X2Y5E/gYeOda8l6RoXbIOZz+6KIzC9Wc5rsDehC5/oYt 7mLz3KtoxU1B4kyMrJrz03BqgDfrcjizfjOx8ntAalQWEw738zgvuzVihfEH 7usRTHgacn6DTVojvAkxylnOr4ec/reXf8ywPb/D1flMcAvKd/b9s5xiwJqp e6Ha4SxsuB/292ZKNfyx0v/btoaBMbNphUe2duDNgtHH77QqcHdRgagTjYVX DBM3pbV3AiXoZYyOLx07U5aLuP4j4PVdTSOT9kI0WNnlI3aZBjULLZtiPvbA /qC8LZMciSBzxlvR6BEBuonSXNNSZFRoMP9RvkQBC+8hDvcYAq3TY87xVzqD rGPvj5ZiMmY7ZOpvuk/BE6uqgrWCH0GhfWhJNPs66Qtazd+FqRCgOhLFXE3G k4ocB5u9CXAIaGt91ZsEIbFZYdeSethzNRlX9pAG+/Ps/xmOVWA/sZma3j6K 71Pe5PUVFMNjRca715UUtPa+6HBEMB9KU5Ud73snwbk44edXp5uRf2/OjlXa 3TB99MCmBvacR5ollVw7Wg+SBvvPT6wbxY27aryrbrYgd629EtTTcW2V/JGo S/14Xrb/193P/nhG9PJM++MhnPJQ4Gw7TYLC6r0CA+uoWIPqO9Il6PAhoqc7 6/FjWPPlUg/pTRNkK6S0W+2jwBh35/vN4/WYZHbQe/0IHeQ6+rv/VbDQ8cm7 bKGzjSBe2pe8a4jAQ7XBk+1+zWxfEvh14Woreo28laEeJnB0uozEwWiAD2OZ u8K6WOiV5Wx3TZEJlHvXVK0fN+LkixvcZ7YyYHq1ydl1+U2wf0v/slFZBagf a/m4MYcJA+ahjCj3Tgwoq+TNlqJDVHDYtVNvCAwbs6Rl7cqBe/1EXX4cDT1N x3MTdpJQMW738yDtdNxr4iX9fpLA8GixU88aSZD9r3pI8BkVk7dOBE1cIkDV 7WN6yEQCwk3vYw/SKODWlqXOL0yGT7cMLiQ+tsGJr3fpXRcJ6Cz+u/V3PQWf f8g9wW1EhoL1GdoRAQROxR3vygp7iztWC+SkyvSiWkZWFsWLhpoeJxkPm/Pg 9YGTM4ZXCLS82tC03ZgOL2rS1Z2du1BuLqNEYg0BRiouJSuNisFupbe0gHkn mCu1h6wKYvPp+rq+m4crsfzhE5v5HBZ0SM1QX3syUGBNd8Ue2zZI8Oq3MVFg 4elYyqffg3VoMfF1dSxPC+qcrqkXkmaikv9d2r1tDfDXkJL17CcTb/52JqZq 2PtoEbKVEG3Ewb3K0ab7mfCporukzK8ZBI7lDdRlVUNIrqSuYTAL+rLsPq/Y 24G3l18cl1ygg2fO9E3rnywc5aXdlXtZCke4SgxzOOm4SZ4zd5N6N75K2Ox7 J6sAVcTCK3oPELhKLsazUqkHlrf9eCaYScPLaaPHZ9m+5CpkmjL7OB1N18hX b7lBhfLGb8lLaSQwYn5/oVB5H0SlTQNvnBhAK8rLY00bK+H6uiKZ4A7EibUX TkiWJqFrheBRpWNNsLZs0W4bQUOrfWLPM990gWqYkPVp5VHkkVIqjF8VjokW 8eukcBCFslOvNOvQMKTn4LTL1xYUN3/u+2l+CDsnm7UO7G6AWOf3v2/v68O7 Ew1HPvnRwObdv7v184147vwfxTFHMlRH8ys4BjWDYaaYvtJ0GNzqOvrBV5AB 1BMaN0MnyWjBWn1PM5cM9brGQSef9OMOi9x1Yzv80TVtM03xAQ15KOf1i1Wo GJVN+dFjFI6D38pDULUfzZzvU58uk2H2xuQ6CzcK9iyIo1A+C6yFS65a0c+C 2WuPtmPTPXDrY/AHLgYFLhKyux7Rs7FU419mYBgLHs14PQt+y865AzNL6dqd UCx66qS9JIHFKxc6CKVqXMsYi03YwM7JF38+pRQy0E7ghKeTPcJ58XddnwtZ WOlUZX14kAFJTI4ysS8teHtPJekwLwuMuottr6yvAw5Zj8OqNY2gd3bipr0R E2p5k7LH/zXi0HjU5pHLTGCdJDveOMvCe2Z2rT4DCFszSoqPaTPwrz2vsVJl OypI2g1HOFeim/V7D8cBFm5nJWqlb+qCCq3TZffu0TG2LKFWUYyApiiSqJBn EbIuNaX1H2DPveLFafXrXeC8mc7K/pEN6t0cekPHCFjymB6LE+vFjYGSWbE6 NBj8kmh24ymBA5KJhHdOAmyLSuEPWklF261Kz3h2krFtdi6Gb00MplvuezUS RaA26Smjns1nO9VnAjeLUnDlzRvurVEEZEyFjO4m7sIKy185mEiCh9Nibxud qWDu7sIq48hGG5MjV93PElAVbVNl9ZiGA5SlqzXPeyBky+TcqQ0Eqm046Poq sxitzasC7zp04gPZyDcqr+i4/8DJXeoLJYABfF36yyw8QvIQEQcGKPwwsMnU b8d05e7N916we957ey9TvRrIh+dNdnxtgmclzo9czzOhzD1QdfRyKza7ypzN CxzDH7GX99VwpMJ2UR/z4+z7SXhRHzXxlEOsWAGzn5qHDrc/oGBVMb5QqSk+ mNEGgW2JpV627P7knUm1yWoHpeL5+wz7URy0JusHdBXhemHOUxoK/ahXf3iG /yAT9XdbASm0Bu9fYb77dHwYn5HTnM6at0GIjfdJZh0TLWimVzRV6OBm7Fz8 vqwcJWqTOg2Ee2DL3KXLeb86wav4o/B6Nt/9qqm7cIrtgR1bgi9/aqOhejLH b7djPdDceOWRnXU/bnvJfCQeX4gdJUanB2LJ6BZ0728ymY5aFu/CuI5nANFf x2NA6kN9dxUDDlsa8Hhc6lMq6MEa7ah6sgYL8j+9ealxIQ9GG2c+vXNug2Vb /bJZaTr0B7sFbaqvwSC3kYMpFCbIjayVG0xnonyC+14h2SaonT5k4kFm4uP/ DARSQppxK2/VhMm6RjyZEMcffoHNNaZ6Qzc3tMKhwdKpAXZ+Vnkc8HXWZIFr Addu5UrEG+bmh3r8GXC+IovkJ9UKy3WDEONSDgF7FLRLnrMgjfhHPTLVge8q FySvJNBBuUadd80pAjsWVRuHVubD1eYPfqf5aCjQMrWcIkFC/YnKPbfd0tBv LY/CchiBZzYrxDgpkuGPwqrQZR623+7zeJX7jABRuQfbR3oi8MEYp0gLOwey y30Plx0ig92CrnOp9F20u1RQYuFPwESTVVzaHQoenXKi8RWQQcfHiXr1EYEr nujLkPOT0URyr3G5DgnbuSP2CbRT8VtgpvuR3hToWHFIWsibwKuO210u5tHg 56ZL97r+68HNZ91XUtUIGDJ4/PbGx3xYprsbur/uAJsHxZVjdDpcPq2d5+pU g5zHtcIaH7KAY5P42VUxDLwWS/9jtboNsj+UCGSze8dvhelTR84GFFC6fvRq dRNaH4obe2jLRK6grE0nLzRA+XXv8AsfmCg8Zxx+apoJfKlDAefEGzD8lEz5 ShUmhESEwHWvZrgVnpY9IZ+DtBge9dKnIzjqHiMd9agcxkdawmS9u/Fla5Mc iibDLkVSu0JwCRwN64sRNu9GffMd78lHeuC4186i9dxsf6g9nwV6JfBiV/JR pzsjaN6ovMn0dTdGbdz3a91GCorx7ImcVhzE3jjdf7yS7+CftgEP7cwgvhy8 OzikQ4HRm4f3yGX3Ilfc9seUwzS49GdH1rNLhRBz/e6ey5ur4c7EhEy8GA0k Vus6R6xox1dnP+5KqKWBt0/KK6uTfTg1eLn8KpbBGbXmgGJgYdI36YAzF7sw zXe6/4Ay4q6GxcA8nz70GIvWlR5sh5qpEv8SBgOzZOUqZ/ayYHr0wRnR8HLc 7tBN3s9HA9nOeS694k6QlNurmlb5FkqrlQcGPFkQN2Sj+2cTGT/wmClFVVGg kVNW8/UfAn38vpdyXvTADt7JXbPs8zbrWL8/+ouC/suX8q2J53A5yf54/RKB EWtG+P85UkF3496HfZ0kfCg6IbpwmoCHtu/uLM4lQvy+iB6DC70w9ltif1wf Ff5J9AyIX87D88lJpYabCFio2lfabUJHxpBn2nGFLnhalRr7sZeFlmZfa0ZS K/F6WLjAPkYbfs2zPFf0jIE91ou5DlUIHBSeFYpOLHx2++DpvJ1M8KpRUe7r aEZG7dbTlitZQP3oNUYyrYeW7o6IOeUm+C8l8a27MxM8Rn9Z8mix5ytQWXD+ NhOqf+v4zciyUHdV25szX+pg1NjBnZHBQDOlzoGx0VY833XOtnZTLf772iiw /iELzx6MtRr1YP/fg39E4RADc5S3T1PHWOAZ/uNKdE0ZBhPSRq176PClzMS/ JbsLJswKWqUr3oG7s+eNMSsCZqXlh7r3kFBIVWu3DIkKDz+dqHr3jO3vawc6 32AcSNP5eQ69pODnAvtLvFFkPGFXSdO+6I97KnkbS6MJNEjxLa3dTYGXXseU 5FdSsJYiW2f6nACf5mrTVV8Coa9XPVbYkQTldVl/PiRSoSc0gytyuAZFhI8E aMu/x9VyjZ6JC4Ww20Lo01keGu5NEvfJkC6E7VUieu7pwVB7O9niEZuzN91M kHub3AWSrx1XedQM4C832ac/VBph8+P3NueURnGDwz3N1LlG/Ct68nrYF7Zv +VqeSE3rw6PHsw6LHk9CswNO0/odQ3iE6Uq/vaMXLlz+UFixgYaqFunhW3Xp YHiJr/5BQwB+GL14ormgBYL7fmU6u5LBwt6r+MmnWuyuOXD4viQDDKfEI+U2 sHDpUrfc3vxmAM+1+17q96GTzxEOW9lGDJsIkiofa8dTvA7EgRwWbl3jXTNn VQd1Of9VoSmB8iaFry9XM0CuJ4crj2hG3Pgs8VcWA4wC4jVnDjZAvTyfMONZ LfDdLvs8d4IJR8pvx08JtCP/yTvFCj10CFkYmXawJvD2NdWQmJEi8H5eJaZz gY7SXS3TsUY9WLp+t0Xa2gI8G6zM872GQPuinuIN0b0Q77tN65Y5DcWtpRrl jhOg9lFqDdU2Ax30FvYZB1Ihb+2lIw0CJNjqe95TYiIC/lOXiQ5n703owuSg XicZnX9oX1Ji58jKH43975MIlLhwz/pSZjTKe/keDgom4ak09RdaxVRk23Cu /L9UqNvrYiYeQeBOI5u5g1E0+Dt5yDPWrwcHfT0eRmgSsKnjrrhpdy7AFeCc jO2G0i2KP8Q7aLD+7zsTDdMS3Mgxm/x2ngX3LXkpnJ103DsmaDDb0AH9+ilB QxEsPHYvsYFrpBr1bceDmJpteEBKzeBBBAPtjeUan25D+CJ9Z8MfNke4T3RM flZn7+Op/NVmN5tx5tFYQzwy4aye6/j4cgNcOjIiFzRRB6VZ9D9L0myOfV3j bbjcihXPPoXUxzDgwskjP48nsrDtWMPZ+dEqSPN4VfO9mI7uvZsM74h34sWc r8K2YaW4NMutI/abvbe7TwR9+d0Ja2/UZ83fpONExNYJUQ0C5l7FZKxqyMen vWOvLp6kwZH1DtvKxHtBK9OxMlPUFfd/fPBw1GAQB9pcE+I1K8H60InrPa8b sNq5cslM6znuH6oUrg9tgJskX8OfKVRcF3FG/LZuN8QKSFYg7yie/7zznt9F V/il8SU+4f4QvsZo0iVg9zHfyj/hye0o/1DmjXjtEGoWyNxxpCKMT+cO+M30 oburg5D7HhooRH3bfuVKC2544BhN2UqB4fTAtWTlRqhpLRQXmUoG3VMm2nQS HRbWOLm/Hydh1PCzZf/rFFi4EqLYd6MfDRMv1Bou+cFTaeSvOUfH1tK6D+v0 Kcj38fZ2E6EU1JO5osXB9oe856PMmE1k8Hp3+vshFyoGBQZJXCphwRGfY+aZ mc9RanwlHPIiwdx04frH38jgoN7kyah6g/OT3Yf+ZLHg/bO9zXQW20/Ilr56 Pt3QPnzy8AEX9l79N3I4ZrYUeUIHvjNVuvCVjfPpn3wMlJ43y7BSrgSV0j97 zETYXFOB39xPMGDSYP24kmI7Lm/TmFdzYEGiXNWN6AtVYBGbVuC2rwUahG2p k+w9Xc+j+fFbcj2GbB5XO8Jkgmv3qRP7Bpn4JdekacanATxvGV9P+8jAho6h Jg2LVjx0npywURNx6kDk+glfFr7Tfmhs2tQO1a5GyteUGHj1atCOMAYLlleu dvniUo43eW40/xuhg4zqHDPPqAOGuEcpy11FoOai+/gl27PfxJh4um7sxoSh Fj8+bjo4pT3PErIlME3Xb239wXdw2M7LakUfFb1+G47yK5Hw8KHvUpOLqXh3 WPDJ4n0Ch6XKPNZsI8PP0+Xb9NZQ8eKxvxymEQTMn9saWxIdgh1KBTbeKWRg DdJ8PP0o4C349JOwQTK+fiJh8eQ+AVeOyUiSq6l4zlFAy1GHBBnt3PNuRgSe tgyRsHiZi20CN5e8A7rx5NSfc1yfaJjbYftneFMBvBzL6N53hMAEhrTwkWA6 xKYI6ZfEd+KuW2Yc0pMs0FGs2KpuXgYxx4vdxN1bofOu6ND7KgZYu7d+ztvY iMmnRbntPrzH7LvXaoM6cmBRVn9ddCgDvRMe6t4KKgGOUT/rY6KxWLe5Kcon pQbVlY+3kb50wCHNgEyxvD6c1slMb6prAQebJ11/rUbRaf7ev82TNbi0bfv8 tDSBGgbruZPWEMj/OU9Fo7sQtfdoUYf+G8Zl3qpzHl864cTZ2Bc//9LxYOuS wKQNHaaCO9WEi7KwTjApVu55B3gd1/qm97oX5gRKZLxXlmB3eFy9vgsDjkQp +R0MYmBX+Dn/5h0d4JRtP7L9Vx8ugcqHnhB2Xqm+0DBhe4HpsYu6DCsmrg9W /bQQU8rmA/EFhf19GJvx9OC2bDo8+OJ/Y/xyB3KxFoTPxjKhcHFyPv5QJRy5 K32//Fcj+Jq82bTvDAPW2RYaDAs2Yd23POvFHwyITMl2+p7GQgZfaoPlsVp4 K7Bp5+98BlJV5F428XWgk/Pj3e/Lq5Bn7YvO64ps716wOEK/2wkOYqV+vH10 rH49Zx85yoKYEsGUJf5STPhuJLzpPzr4mHLL/OzshDpJqe0yG3Jg6b+MHl0B Ah7laX+xde5FLY4ix//4abC2FaytXxE482aIt+18NJSluB+atKHgp8GB5mvL ZDwqbustk2OGizmftnmVELjEe6S5eIECT1JSpKTUyKidLrLBy4+AI2Vrnb5w xsDMYll28yQJ3q1YqwRbqfByk7VjfEMaal3Q3n7oEgE52wxcG4/Q0GGnac+O o73wLWDvmoqdBFI7zT8p/izE0BCBaw8Cu1ApICnsqC7b11aoJ5xKLgZZ8VsX hIQI/PShbt5YgAEHrooR976041fnbhOrZBZI2d7ZfyihCt6OSKQujzZD9ESY 015xJgSfP9n85XYjKidMXmd7GpS6TmN+NRP3dZL++Qg3Qky8sNLAdwaSVOu+ bstuwVXvfXxeC9YhE+n61oYsXNz6O/2fHtvDBCJFjTsY+PlpqTA3O/9mfTZ/ iHxdicf1LfU6xunw2U1yzWG3Dvj1bl4rIjkRtY+VSiaoD+NasejZG8MVsKfP 3yhgcxumJHmfaTv7GOT9ZXx359fAs5qa3S3yZIxTbvF5KtgDPb0xnFsTRtDF YD/165Z0yFnylFTrHsbTdx06WreQcfMfU6Wlnz24dkda9xWhIaxVFpHKdigF w6ZR8/MaA/j3hyUumFLhG7U9p4Ldd5yah14NGFFBYEV//OP4apg/ufCpsbAQ vhge2iW2hQ5R/Xd5f/p3Yy2n3aR9PhWmpGd4vVf0454khr1CYiZ4BEQoaI0z sHVHUsdqYxJuXIjklbhdjKpWGNXP0Y/FvkvbnRR6IJwn0N5Vg45RhIJTZwQL ZPmtQj1Mc7D0WCPP0iUK7Nmr8Gjj3144L0eStYq2g5HxOc4fRSxYb/PvsrYA FcNeCDqpsEgQ9KKUNEsQKGyjKV0VnYEHJq4V5ewiocwgvYD/JQ35zbbusxPJ g7+8z06H5RP44LD/6g8/afDK+PaJGnauWd461CW9yII7BmofTr8pgIDXclb+ XzvAb9a1qcuBDrvOL1sGx1Vgj+7WK8ZRLODZ+UzcoJyB4/bjv995tkLOR+7J 4EUmBlpq9q241YBTPOL8KqZNuC1yMUg5hYkzBxR7rs80weDdLxo/XJh4v6dy 8rkECwz6+EnLW+qRtEFzjxw/E4xWR36f+9IM1qJ/apq1a8Fi9Hvp+UsskF7s /Bbc1oaj8WYnrpgxQESny6NukoW2D1hRx9j5Gtw7LJpmQUdhO8fOn8e7MPKo lvAum2I8avVDIlmMwKAFuXg/nh54WxYx87WGhrPfduY4XWTzSmX8kZznWXh0 bGmr/RMqpHyxcel6QoKjeokaV376wFqzFbJ+7B7xs/WR819LwVNizlKvpSgQ qXju5ptwAmXTncakaBHofVRSX7aJhC6Bh27cOEfFz8/POqwqToBXAYWUyQAC xzy/MHznqeD5gUPGnIOETwbco6wtCRiXTmtd05cJvNIzrKzTXUCfs37jZ0yH nbz+jMdKpSAvSFcPdSCj/6mICK+4LOC+sl2T/Ood/Izc+0jNpg13fJoKMcRu ML8mXir1dAi3dHf4W5rUQoiek6Hh+xF8GvgnInyoDW8v1X5UCqWhk/WtA6/X DKDmZ5Gg4Q5fWLwm/zt7zxBO2fhop68kA0fSYGIrFwX1BfKzn3+ggUq1xOZH R15D1I+nystsDng7I3U89AMFTjKsOkyNmzDQ6he/Yxgd4s8umxSeJnBrdPmJ 3x/rgJjX5nxlQ7B5be/8Y6IV7Tt1FL4xmnBsckHdv4JA1vTjrFsazdCcx7Mm Yj8LBbYb3P0ZyQSafLV6mXQ9nlqM11f2okPAYbmd20RaQTjQLOkYpRj4Vstn BXGyYIjffpdrWzeeuMa3M/sqDaI2VWtxUwjc9/0Svr//Bs4ev7MmupuKXPVL LZnSZEy1vsIj1BKLe24anzFd0YfyuVee9hSQQb5TbtXbTApGOHbZSDkS0GYj eMVy9BG+jFU4sKuEDEuP1mp/30CB0nA5Yn9ADGoOCT/nPENAiESm72QmFSeN 5X//YvNCi0VF2X4LAg95jUx0iudjSJVV2A6xbsxlfRwdVqHjzPqLJ1oOl0B4 Qs2ohgyBLSzRFa/+0IHvj57v/RMdqOvQ/+RuPQuqH25bO7G9AtzGW2VL17TD pPd63ogjDPgw5mLqKoBo82Cx5t8ZFjgUep3uFWFibqpbmcfvZlh52UHLoYqJ CjfH845pNqJHVmbc55pGpGWf63uRysSYVIsEqTdN8HBvOP09e/9ctVu6+BVZ wG9vJ2FfVYefmbe8vrxggJ8yUF8vtELGat1PG9zKwD06tFvhAwtkzgfUPDHp wocOTmp9RnR4MaMKzioEKoV7/JvVLICn4/Kj/2nS8BEnj/kx/V5st5uUe3Hv HQotk9YduUbgwupE9cVdJPg1zNlzm0FFCdcv0l8DCMjfmBse/PklfqFv9O64 RwET4clK9UIyJO/pzVuZVAHd1ysVVS9UotBolNOdrAxkWjp9O9DfDDdkUj2k VjPw4JrrCg70TpA2Wz5x8uQojkn+tvhd/AY/RlFr1ecG8IGutAxZm45tHn90 ffc3oeQrP559MsOoyb+/w/tiEyRRZw8IOrA971+AoEQPDRID7H/U+Ndj39c2 VfUsEmRXPtlmQ2oFH3FmT+EtF3wWP+tyT48Bqcovj+mOUdA1OFC19SMJ/izs bPgW2I9nn3948PZiEvI7NyYfiKXidMxjzRtbaWjist6OqugGWjzfC7V29CMX +ZjhrSEKWErzDve4kPGjy9E3DvEs8KNxnpUzjwZ9wR+Ua11dcNp5mNswhwoD dycVdFyKkOfCxdJZGxZQZ9fl3bFhoLVkjdDbH21QnvU9ca6Whc+btU/K59Vh xk2lAhqrFaO5TE0S9ZkYv0vxk692A2xLUC9afZjdz575Cv5XmEDZtpy3Ia4J 40SCH4TGM2GqttN19loDzPaMZEWr1IN+4ByLr5sJv+9NC3oZtKCCj7FExSAD 1ISlLrVWsXBb5Yrig68r4W6565JwBB0HnO4L8PF04Up/wbitoSWodDs3tmw7 gWq3ZMeTjXsg+45erGwhDeUrcnevMyHAJKiz2nc6GymhCZ9GH9AgrWm1XZBz DwgFneb0UXkDltqqezfcIKDi6XCG1jMSDpbRT4Z5UeH2uV0ya2MJ3JDwvq7Y +j7kP89O+idLQW+Szm/hLRSUFJ6d1dG1RsmTeu4iiQTuHaxZtlpDhRWVVuld 4mS0nGkhNJ4SwOG37U1fURzo1jy3jhLrBcXz+ZaNhjRo0/hcdfxUEQ6ctj/k KU7A99Ud/x1Up2PguaMtRU+6ID3g2vFvdSyUeO+WzbtQgU/lJVdxH2nHPfuH Dcq0Gch7jpu6l1wJioxTMdJFLPylMF7L/Z4B595l9Dz62IK1xVjneZAFpRcr W68G1EHXKtPRpdMNcGWve9vseyZUdLwY9vdqw5bU2/TrBWOo03dvI59JMqgY Rr278ILAv5DLE+tTDm8kQxclHAtxdYWOcNaLQlwzbXfxGVcbPHxvK+/RxcRm 39m5uwYdkGn3Z/Sf7SjuUr1uJ3m8AE9I8D+8/64fKQ/bXgpVMPDXtyu0pW11 qGN7c63DsWG8oTEztN2xFYzlONyyd7M524wsUvP/9wmztsg2OVbhNsELBQWf e2CXiOn9W4sdMLFh1d89Msn48NWesAfuDOhWqBk4f5L9nM2qxsmqvdCuNC4k casfraZrdmUL5yOxyW5YUJqCrcl8t+au0rFAR1FUbOENqDufGEqZ6kOnFd+/ 2PLRwOXwRMyPyl78M21w+bQlC5gOr8I0OTIhVWBwo5JfOwQPDtRvYO+tL//J tbeEqzAxUzG9e4kJaaGd0Q8tmXhQ4YVhrHkzOC6WrX+9gYWm/XHv7K41ocP8 pSnWqSaczH4urSDCwqqJ/LmLX5uBhyOF5+gNJsb+mwji38Bic4iYOt+6evTo ET9XSGNAIWeuTCebT8b8w+pJo5Xw+7zjj5X2LPDk5guKr23HN+HXprt+0SGm 1fpkozKBR1dL/H2ZVQjZj+y3SzjTsKXYslTxaC82C5X2aQ9m4Uyx7HlRtr8e X3HS+GsJCRosMnjmb1NRRMTl5YlH7Hy02WIWVhePT003KTD0qCDziLUzt5QE KkXVQ7N778Cc1bG1h/3Zc3xLSLp0noyJyz8P2u6hQNTclkHVEAK5J49G8O6P w3Rns+MC9SSs4hfVZV6momFKiy13TwK8/KjzXw77uqpmfS47YxpomzNGgnf3 4vW6va6vzxKgYdetecEmG2JW/7sY1tgJbx8GbQdPOty+NdkosKIKNV0MHbZm sYBlGCPPqcXApKMxThxq7TCrknCBW56FWV4Nf/f01qFdr2Rn+lAzXpL31OWX ZWLRznIxm831IHll321jSRaW6JH26RcxIWrr9czd+o2422ys6NEjJkTvJI3P KjeBiCxDb/JaPlodN+zAuhGUWBwyH15RDoNCNrNzjB5UO1bSFjWeArWK27aK OxTB0Ulp/kdiXYhdg5Qm+R6o/PNE5U7eMNacaur79qoM7j0q3bLq+QhqjAaf c7nThQZhZx/PF1KwrjrcYufUAG4bXVBW3ZwKHEaLkb/CBrH5/fQW+EsGdbnm 1okrJEw85DsedoMGCVflJq745YHo10aLJPNaUNMJuX6VSgX9/wbzbvS14nm3 d3zv5mmgVzDMNbGlD/3SY8abjCpBV7rre3MICyNWcrckQidulFDoMJ+qw8ag b4d8z/YhTTRg75HqNlgRKfC8fR8TqegVpc3PgqWfO1tGuKpwN/nOthU3acD1 p1l1LKoDpnNLpag1mSDfGBj2hN0PFRwJDKdgEj6z3bTkv5sKHsk5Aaa/CVz9 QkzDuOM28MWKHxJ/QkH7bwtbKvwoGJtX39Xb5Q0xD22/kXj6kF9NFsc5qWC7 grEYp0vGB96G18lWBHwT/bLmLGc0yK+3HTi+jwRpu+1TrjhR4fQ7Id4Rq0zM npwf37+TgBh16UDurzQ0ulEXFGvcDb9PK31LXGCh3LYff0ZXl2PTptzG0K/t eOz6DcEQNQYab7Xu5ZCpgbM6covWySz8/XssQmuMAbmPs0htMy2IHNzqk6os sJmaVfz3Xx38cY5UeHOzGZwoBZmfdzBhpYjJx43CjTjbLfuiPZ8JkkvXjrz7 xMSPu0TE4/c1QF2JvOnfWQY+tFDhm61tQd+wWtk2tTp0uWNtqWbEwtT8TttA vTbgnVXs6Qxi4HZTXLpazYL3Aye8rZUrcXOm0AGTUDpEru2+Yh7QCWrvX89u 5s+D2SvFUZ90CNgVHJT1/VIvbvmxrGe0nwZ/Auoe63gRyPywcoJm/AY6Qmty AldT8aGhuZPRVjL6/hqmc8pFo2QfsflmGIGzA2/fqOWTYe+kHyn4IQWHP69f nR1NQJ1nXPTguAMclY/V6fpBAp03PtcO7KTC4th3+tGPiNLFOR6z5u9x6bX8 /trVheC7TTvr6v/f5xhy2ya+qQgMI/OKBa/cgfPNwj67Tjeg0c0VGcJaXeB2 3NFlBAZQKIAUGbSjCRzGzv2dgVGMv7qha3V5A2oYUE/se8DEhDOF3QXaffhk x+3FkMi3uE7Hrzb+4xAutkkftLncA99Pe6tPs71i/V3YUWpKB4kWXX3rmhj0 ObGM7QWtEDh+Kn+JnwwXE4s2C92pxvEwJbVINQasuSyzPFvMxJpDkyusGC2g I91SIHC/D7tYwltOf6vH8D3X62PYHm6dipfzLrFwh+3iuW9HamFFyZBi13MC BWbyZAIeMMA/6+Nuf45WDOprU7z/lQE9FkYeUz/rIMZh9deEu3VAFaZ5/LeR CYKzIq7NbA9JnBH8Ii7BAFqODU8xm19XM2eb7/iUAkXXh76/mI4xMShKP9aN wXE5xy2rizBgKuyccDKBWtu1fe2jemDMxTv4G9LwPE1cZlGJgKSNtKnf5jnY t/On2O85Kuz5u2e3jVAvvDl6W//aYjzk3+eQunuCAIFTfnqrDdj5PFTmWF1D gU6jf7sa0gicWH78qZ76BHeO79stwUPG6qzomusGVHxy1GbdFenXIGt0Z6Uk +/dVHZO9TJRpMMC56vXGp7140/iKx/rzBJCttp+5P/wODH1ML3Dk94C3pKbJ erYPPdQNq/PrL0R/Ef+APcIEvH8SK3TIiY46Hy6fFP7cCb/NJ+I7a1j4bq6x 9Y9DJV6Y5tu6dKEdOWF7y9IxBlLOB/3YF1ANT3f9sEiPY+G8+Zt9dvMMEHYN spCKbME3fJLvitg9+1zUfKVYeT38ez0k5bmrAW4EhbSNfGRC6jPHEOPRFqyR fUUyH2GA0PuJC49vsFA6icv56cNakPEPMnNbw2DzU4ev1KoOdN8U+e/Gv3Jc az/utoHCwusB4W+dqB3AUr7sWdpJx5YVh79XSRGQoyI5dkGjCIP3Bt8Rr6LB 3MXDndf/dUNY1dSpty7+OBDt/ImzcxBPrjAwENOsBLebkweNFxsxcPP23drf n2DvfMCMW2Y9HMueFPRZRcXTHK88vQO7QduBW2TljxEs/1L7uYU3DI7QqGvW 0Ifw4/jzX2blFHQvyfU4s9CBpRttzoS9ZHu2OGptflID67DukuuJfuyKKG55 8I8K8zxqWuHRrRjQu6Zbw5kC/6KPiRQs14PBsjNXBSsNJsVCO09k0EGt8CfH M2sSbvi96uA6pEDSg7mx8Av9+Ac1XndrRMMR3aLDfEjHi/JmY+09ZPRq0bG8 E5qBxzOsd7co9aNyUHr3dCwJosN0Tkd+omLkob4e9UIWrHYJZ5TmJqDZEc7j gn9IoFfI3JDsQYbyCzOrRcziUe0un79IMQtUFcr3V96gYUY/t0pgdA8sjj7I d4hge9C9hc/CRsXomexLlOp0Y+Yzn9fCJXT8Y3r8zr6wMnDwm1L7dJy9f6Fm /zXN08GyPexriEEH7lxhoJ0SxYKF65+nzn4vh3MfZmdf2bWCbEDKgTs3GXCU ERSh7VKH1fw7nmryscDnrW7snZdMPNGcvE6huRGIeQ1OQ3bPPevI01n5XwuG R3BecCPXob1jReojExZ2N276FR7dBh6abvsdAhgYZqPSZZ3LgnQzYxIxUYnP dFKJBCUG/Hup5sFk88enA/yt7rdKIf3nQmHJOAtctvRfiljZhR0qqcKfLemg EqmX8MWI7eFmOrFKSbkw5NZxJhRoqHMlPsXGphf9w3vk9869Q4Oo7KJCewK/ eVveuZ9AYifmF83m+1SMK+l///IZASesTFSon2Lxx3qJv/xSFCi3n3YuWEOB /VVFsfcZL1DC0Mepi+25z1s6N0+aUnEHbUJcsZ4EbrLnTHexvVg7bShQav87 dFB05xQK68Edyb8c7J/S8PTVVhcVtRyYDWie/GhKYCzX9Nmv8nTwW7+L4311 FwZWcf4nwUeAxwxvx8EPxaA28NPHvqQNdCpPlv+xZYDPS1CPlGpCn4pNs5n8 Y9jQrDik9jALTBfnXUT3MFHTJ3bns6OlQO53mTj9IwmHFtbdTraowpSzQS2N 1zug5brkidXSffhIMb1+MrAV3hTv2st5je3XaY4bNl2pwtWOxSekMgncr3k6 qISdD/1fX5U7epWgXARRaXFgGNOuPxf9tb4TNqhSD0+6MNA5XORJtxUd/Pn+ vX3wPB876u6rPfHqhNtLMs5Panqg4szX/clPC9GiRWXtv3sMSLpZfXyvJAO5 /qb2d6p0QvqGLXnzgv24K4Zv/WXBSpydYbopE70okbXAacjJxE8Ni0FrOIph g5ZKavTlPuy7oBvif4m9Z8Nd1bfvd+JtC/GJyDYm9Jbc3J4WXwYZ8fu2kkSa wUTLM/kxHwPkjW8pqXQ3YNWza2J3lZlw0LX4TLwTC8dsEu10rtfBV/HgX5eX GCib/uHWtdk2fKP9a/+LC7Uo9yvDLZSDwGGT5n1pNh2w+sMedSclBs5dj+vf gyx4VULtUvIpx+t9+jsm/ehwVEdjySWjA76d8WtFngKoWtliaTjPgn/qC8fr z/Wgf6L6krYH2z+1fsquY+9jGtdEZfuaJNhS+uhfGpmCXrvTrP4LImNdxG/u lvKn2MTR68JbxJ6jqjoulyAKxMSF24QUkPFJ4tLHmCACXEyGP3hIPAXual+N JnsyiNnt4ViVQQHRp7cunKtNxh17dzrM3SSgfGXQZWovFbuOW1L7dpAgvnnX 3xz2nl8SziDKXfKRSmewZJ93Y8/GvK83p2j40lvf9sTvAih9/+HHl0MEbp5j pSXU0sFkULR5NWcnHqhKyo7rYUFi3UMbx1/lwJP1qKJYqBVahzpSLckMMLdp TZ3UbcCdd+9ukh1jQuSO0USLe0w87f/YW+NiE+QvHPYQU2EiQ+r+kIV/M/rk erc7HavHixkiDpbCLBS/uxjqv6kF1k8nHd0oxETeudL3PM9YwOiUFni4rgZP 3nHnGzvKgNBBkSfDGu3wgvFq8WjeG5TlV/JzKRlGNT3SO9XXFSB1UTc93KUd TW/pPOiUDIfs8/obpMqqwDN76zrjEBKGHPvv1oJCDwjm7LWbvjeCds9myQsC 2cAr2vzfE74RlJErDckOIGH+vmPK8tIkrLh5/MWzsUHs5r6nQSwWwdyYoq7S swH8veuL1ZUtVJAv7tlLOd6FZTY9vyrDqJDgfJmbb0slpOj9j6LzDqfyf+O4 NEXDKJoUbRpkVHIjo5BKQlRmkaTxRUQZhcjI3mXvvfdt73mc8Ty2Ei1KZY9+ 5/fvuc65zuf5fO77fb9e17me50SfzuYpALejKcJaA1TQjv/448WDNozhHHgQ PN8D1ULbLO4P9GLDp2f9OJoFOUbZAZ9kGZgS+rRbwL8TL8rYan49WIRqB7IW 3cZ7sZwz+MrKvnYIpR/SqEuh4e2VkCI1RwKifXZGrTqUg9Wuw+1WXRT46276 d2mqA5RAlVX0nie8AMnpSqbPpX1815ARQkFlCv3FGa1uEHCqusLylcS39dY8 UhJx+PigwJabyV24zVH/5V1xptfqa45/z08BfWc5vuUWEiuUv4S6hFBhg7yg 4YR/B7IRkvd1mByie+r0kUWdTLhxcweqbm0D65DMIWMOGkj7bO0REyrCy89l fn0vIWA3eaPV0YSOb9IKLmRmNsH+utcGIVIE1kWFeMeJVGNJ/autDLt6nBk7 P3XYiIF2RzrTdmfXwkUPhaFHhQwMri6+MzPGgNmpZ/EPL9bgfxLmJewaDOhb /DhX01IHk97dnw4/qIIghf7x9iMEbEn+5nUpvRFbtR32JsbR4fHe5CU5JFB6 0PZZ6apSaCwsNfzL5EP3+V+KCmKt6PXUY/EgtRB5XyYkTTK95j5/z6b0b23Q a04JWN5HQ/2TFufz5UkQ6IxWCVPJxqDFbNed0z2goJUf5bXUCV66BpHyEAAH R25dyGL26f6eTZd4QruRd06vNsyPAlJcNveHgkiUpdz/72y5PZomp26mnO/G 2duBG2S+UdDL3H7GqdIf3CWbt51k5sSoTGeIrWcPDGqSwVxuXWi7x97c+zEJ HKo+da70BKgca9tv5tAOC/JisclfqLD7aQsbaVsAvRrvv+3gpqBBR9jqlF8Z cM1uRH9lWwKEvhmr1j7UiK7ffG2j3NrhRukViXO7B/GT5AKxVaoKKu9VNeya H8b4E9qGzUmNKMF50672MA0FExVKnxcyc/qAXfOR1VfxU4XAbKjuID44ct85 L6MLtjjHvL3qQUGBpjsFnatpcIf9t+l+10Ao2HBy+ERgLTQ5v24s8qbA8AvH mOqdtWi7HFOKJTRgv7tDzXkDifH5waeTBWpg08tEW/lYEsfPFPbnZzM5k5B3 VOFvwBm9bbe7mN71782PhQMcdeD971jiKxcCDa2qIl8aMyB7v4uwrGYNGuvR UtU6aDC8r+1x/lg9HLK5UD6uVASWfq7VyiQDKlvCf0XEtmHbwb2nT9dTYflO reHTchKn7g7+pNCSQDtJkesYs+43doiumCR1MTmiokaQFoNqO/ulf8yR+MFt Op5Duhv8qJfOae/qQUXlB242piRE/FimF/zwxxujNfHPT1BgqGnzjx3B3VDb IWJ9knyDWgoa578yuX7O3P2FmFQPZl58q+jT2gU7+VZf229FYt7Kebvv46lY tzYvKmdfB7qM30161E9Fg8edatPvcoH9u9k7T2Zuewd/bd2eSIM3hOIOvjut SP/buCAyTsDW9Mgn+WWF8LG1vrL0dAvYWqR4V32mgfjyFjyYUo4dvomfh10I OL7V8I16Gx1p/f5ysycbQTVa6GrtDANl27+ysHPW4MKJ0RTiUx06f5FbK3CX gTK8N+97G9VCa8i1GILpdWPPxupvzzEgMCqOxf1HNf7XKw/SX+gwwPqQQ7G6 Afrva/4nxV0KLMmvBS1Lmbkd9KHISL4Vk0QOuQsn0GDs+YxaOh+TM1e9VOr9 mQdsHDPy7HFULJE557lZqYPpTbTN3uaZKL9a+d/jKyS+O0FtTFDqhDjzg9rc 8lQsDdl66IE9Cb0+CxYbX8Zi4l7r1Pq/FDj4LfOm8vFuoMtyGYmMlMCvgIpt UpwVuHvo/ne2hHhsd1LkGuKqBxXW2z/tn9Dw24NDhzjl2uD4q1UUPvkRvMi6 7n5nTjieXtVJFbs1gJHzNikrDVR8dns/xc6vHq+Y7Vfg3zqESnzb1okr1sKo sNxq0y4SO/dJ91xOo0L6/Zu9IVU1+DRnwvflpm7I+RarapPdAFLPbLdvbH0G wJ7DEcrk2JEj4Qb5phR8nfqmKVatGxy49fuee/ZhqsGejzKjQch/LGMDLwcV 1xjkiM6k9eDJPZoBTx2s8att/AMlsT78O3awOvkxBaISJFlZp7uxOPCFYGYS Aawp1G6PcjeIV9l3WHS4HTYdqthse6EHZv3GFGIms5n1FjYsZ0/A5k9VoqvX 0dE9krurcG8L7E5gSI5MEcjm3CKT2VKJaa/eswTNNCF0Th+9w8LADaXSo6dW qkBP5+wzQTsCax5sUBXfz4A1y0Y1FbX1qIcT7oVUBkQ2bgpwOVcN9TaiIiEO NfChylzyli8D8qfPXuo5UI/rPSxEo/cxYPjZpq+EJ4E2WV4y4bIVEK1FLYv8 QcOaUypLth9b0NKitDWFpRjjrvxm2K8mcfBDa2qLWDvUvTsrmM9LQ5s9L7jD JEmg+zUeXphn5m9QXcR/fVTIOXP2eszDdnC2OOUhEZoEDQyK1FldEi5bx/rW c3ThsM0aC/5PPaDTsiHAz59k9pnII+c6P5DYeNiyMpiC4+ION2eiu5FFX3Bn HfcbPD7/7PTTCBKdmoOuVgRQoMaXN9Atqhu5KNKOLu9IWLNz8eEHYV/Ysfyd jrxdUH+xOZt3uAcuD6neVUnNxuQCNZuCcyS0bU/RHR+hojA7sdfZpx2m+m18 xr4ROJhmPv7nehHa3f/Ddf1GC5J1x4MKftMwerdwM7dpMVwvGDLY1cf0eIjt DPKnQ1P78XPndzVh+P7k8iEzAhTyN4zkJVeCOI/4wcWYWugMXOJY+cAAk1kV wxMvi4Cy9/zuJ4xUfNORVbYwXoh+1wIojYrNkMtVEeW9TOADn/o6K5ZmMIuc SX5qPoL6f3DbNc1C1F+6PBswUIqukktgojCEJ5LKWawuMfk2oNiGl7UQ//4U zJzckYYPrf7Jr3Kmg/04DxGt2of+A22n43cV4M5i9agSzwzw5vbhTc7qxbQw WX1iFwFZ/yIw60YuZK5zujin1Qils8/jdKyY3uN1WOiqaBWim0EALYYBGNFc t36Sgc8bjrgWfqmBI4ZH3mb6MH2Spyw9ObcB3dZ+ibCtr8Y1PAzeiCACTbvD u3gfMf2UleNB6o0KlK+dESJO08HC9IjHmutNcHqVzE6zxQLwXkcediomwJFn s06fOYlj41OhJqWpsDzLs5LJHoNXI2+bqkaTeMCw4YyoDwmyPMUW8eaO+Pol nTW7xAcPXNKed3ch4TUv/Of6hMT86a64vrpEtH9Qf+iTWAoIeJibTD4gETqU jt/eRcK9Jw9YPcPzwPTjWEmiTTMMqPbsTRGhg6YHnlTuQTyrU9QSrU6A9tBJ 7bnPdHyl4X3ZhNIADqM/bLxKGGh+kjeYcrIWj0hc3bUUXIuV8XRvowQGHmNJ DpkOr4UltrhH++IZGAaB1+MPEPCfj11N3kQVrjnxRmnzNzpw3dr/poCZx5LK KZoHfhWDPE9Z9/qDbbhvQEBuY0QH8nde6/OT74D/vvqe/CgyjB2bTlnwf82F uXjfp381hnHpd638lqYOvFl3o8brYTe2K1scbXg0gE3Kbbf1BDLhb1hN4yz3 APKcJIzUfClgde23hrB3B9YU6OzEdVR44bQrIGw2H0K/6CyP1JdA4vkSLjYD KoRcbvUNPdKCdcW53CVOTB7+muGg/qoX6RbrL244VgBCfkJPHrqXo4zq5V6L pF5Uf77/I8Hcp2dz63RVdxbidp08Pda8aHD3Pmh70peAwhs8LjfmSRwZE4r5 N/QOf487TQiXRUHe2j3pvL9JXDnBPal4gQQnCauVpP/iIfD7g3fXTuRijKDH z0fzBPBUu1pkZ9OQ+pJqkbehFVgqpSLbYwjUuXSiUUa6AqMLVm9ZU9aIjr8r 9QxpdHx+f/PdDYeqQTCqTCzsNIGydlsO2VkwYMghnvVNbB26pF64d6KdAQNL uIvVsQbkKjSX0v/UwObEKrmeHAY4EZsodLN6rOj+/M7hFAO4Aq4TXbcINHlp WzwGCJ66P+9fyyjDihFKm0AagRLqppIG60lYKe8+slOxAAPnK25E3YmHlSBb 71tPSYjnlVp1j5lnGr0lgZkl3iBL39p568x1fFa0+IEvlMQrN9LL1jM59GJq UqSYVwhMsP7yK+rPgy0qcVGbDXtwYauRyW3BHPBnxH/ULAyB7UO5WzOL6lBA TCsnZbYNOCoyXnVIDKBmTenDdtkaeKLB7p4oMIKG/AEdkWL1uDFWbXRuLgiD b1BG2VMGcXfedfp2cSZ/pW9h31pyFb3V7OZdMqrwsuP+W+qsdCgeOPjihCmB qWWf1611rYP9FX53Vbb34qfbW+f+3KjDP6yXX48lNGH3E+k7ETMEXt1lpiMe WQ1pE0MqSVzM3G4umcucpQPl7460r1l12Mx1uunMPToYCFh+MbKuhRlkd+YS LAcb5XnNPw4MMNjIaRyh3IIb5aOF1jynQWDcS6fYVyRqVVH8S6RzYHEqa1I2 Ox0P3nvaIkEn8Yxd7YSVJgn6sml1OpZxaDsf1BRw3BFuJ2V4ZTL5TXBzbpFD MIl6uT2CtWLROC8RPitnnArFOuSoI5NP3SPffpM9RIJBjvg1yb4cMPN5LvPG oQ2kaq+72QgzfahLSzS9uQjjvPcoSdMIeH4v6SVNiI4VlNptX4KZPrs2+dl6 IwKHX8nIWV1F3J85+mPxQCMaKlWOvemjo0Yy7ct+sgokjtoenjhB4EL9Z5E6 RwaYRczkHVeqw7e22pGCzOu23x0welyhDnbq5ceLMuuK31KxpPMmAZt2XE70 ayXwfF1HpY5sCZi9Sj/4Z28+8saus7jF5LKbn1YruGiR8CbBZFLCLR2vZBxI HzxVCjfEClLuyVfjmfP8tlJAxfMN17MOLLTBX+evzST/CMY7f98cV2qNtSVZ xqcvNuHJQ59S/AYG8e4Vk8+/dakwKxRnwnmiHn8HfOzpmQyDqI8sszBNg9gT a0Qf2fchi83eHsHlUzi6pbhOSSYC6yNPWaSc68NeA6PvSfkEjHpwx6qoOaPB D9/vvC1JKHjwgV7zBwIMBT3n9snR8PUvkip7tw267+YWuKuQyGeleFgzsASX zgp4h3WVg7QZZ77mFwLXNfy4HBdIB70YQ+ulzU0oyR3ps02aAG/nkLhXFRWw Ocy4Vm6hDri+rA2H9QwwX2CxG+6qwb/5KP/wPQOunfEwerOLwCGv/vMSZ6qh 91+D8XQIHe2vpj0x8G7C63b7D73sLUd6/kVBrxwCNV84fKAtELCviiNPbLYA M9O+aswI5cA5D5+R5cMkFD9icQmzI3FDlOu14KY4EFNpOfqYNRp7W0TDjD1J jNMPNv//87AMpn3FXqQ+RbEdh7m+JCUie8nP1xXmJCgfpnSInCLxFuPFZ7fl HKTuXLWX/U0eVNXomqXwk3hkQZMjcZwGM6f+2/vOugV7n3Zzna8hIPtVuZNf Rwn068jdv3i6ATbe7dx7j4PJdT19udy/EQ2UwkxXmbZCntrb6CatERTt6Z6p k6jCkQOOjS/5s/Fie4OK2fYhZAlKlo80ogHlpkwRTTYRuU5vWzjgXITD77Z/ dTCig+u6WQODrl58/X2VTTUrYtRlp+gtR0ogsJ9jzpe1F8OGXwgVMv2t68OB 4gsd5bCD43jfBJN7jt4KU7mSWwbOMuf0rblLkJP1kVTbTRJ3PzEfOsFCAk1q Uj8hMg+1ZET11m1OhmyhsLfqzP0MXv8t8VACiamOAftuirnCmqgg7rh2Fwjo vfzzSh6Juu/FSl3tSDhsN3Jnx9QHsLza4XSzNg3dryyIv1AloTnzDUcVG4k/ VC2IZCsmzwyPfo1WLgKJ0/IbkMnJfEL3eN8zeaPp1nDiz/OVcNF25mBJSwVu P1UYnulAYO+aao9DA8zzzpEedRYpxl3qofhpSylIj+ZUkEUNKCLcoFTe2o3q L7e/iJhqh+Pci4ycsmF0Fbtd950tFu5UDqqdj2vHVQU8zieUBzE12VJCSDUb WoH/30cVJofVhU99FOpDfGoOFVcS4GL+lcEfpTlYULKpOGtbH5ru/e74XzQB w9t91TK1k3FrSJjfejkHXD+pXLCNyT/uo/2pVxtIPNlAMXCfykDLHWEFY+eY fhm8fquPH4kl/r11uwYJUI/otbq+LR84W8RtFjaWozDlVmCnOQHK9odF7mgQ cGX0u1VTPSKZT5R1ZpRBYK5Vjsc7AsZfUnWKtpCYfkKj/HV2PmyuMN3HPZGD do+GjzmdIdG2iPPoYUsSUlfbUahvE5Hlg8csr7ERUveWXe7wJyEyI0Wk1o3E L90PwlgKI/GolYVJmEYcRFZdXal7TuKpI9d+yiiR0MnJSTUksyD9g79hZl8h XPFPjt5U3YXesRtz8H0zRmfm3vg7wfSGxiHrl83DGPD+0NcRrhZM3iuhX1YS AM/DNM9+XRpA2dGj539XUWHdPR+ZLX/ioXA6VC/csR59pb9v2GlIg72Brpte va3Fcd+a+fEpEoVqMrurqhgQn4ZqYwOIqT7+qU03c+FZK+FFMjnsAk/39NpP TL70F7yXei4cTr4m+6fL3+Iu/jrO3Wy9+CCt9ss4s29lO7esX8SrIGBrtkX7 SjT+Gr90iOcS02tn2mzagMT7+3aZDdfl4s2Ht9cWfmTy/MPRpUdLBFqOqH9c CiHgjtWpKRmfMlit69W4aEgAl/82M4MtiGk6R8uqqfnwO0evzp2NhB47H4W4 6yRKXRhqoO/LAHmniVV1r+MxMq+nQPgZiapzbVa2TJ9ZWtVt0k99hzOigfln 1UvgrqOU+nJsEda2JL77HknHVB3bHop+K2xZO8s5fnMEfYxOX+3bnowNospv Kug1OKmcOiIgOoQ6Ox+905ygwtQXDT591Sq02m9pcO++F/bYJXLuu00HI6PY oWy3PlxWkuetqUnA9Hm7s55P3oGcecTWEr4+TGs/UK/2lgBuo6omK40PcPRw lYPyzwIsf609Fq1EwEGaSn62O4E/Rl1YT85U4ylqbNDARwQXrgmpx+sISA/5 qXGKmfNxW9MWeuaKYCF3/WpVvjzU3BnXt1OJxIXAmkB3ExJ4Xsg8jx1NwkJR Rd5/qWHgm2mWeYeZCzZ9P2d6mdyU/XdOd43WY6wKd3lnOOIIvgcudjIiSbQ5 0jK4ZE/CkZuOhWljMfAkJlOS+rcAWf17BZuYOb9UlMxv50+g90Pe/0zDytFt 2kL4jGQF+PxqiTBjrvumdM7zJyzV0FwwXCq/j+ktQ3S5ro3NeHBUdbtW3Sds MBDYeGHgA1yf3GJQ/pFEUunO2pWiYuDxOD1Tkp6HHS9YKmM9ctDV9UFucXoj SBzqTzZ/ycCI5Nfbb4W0gLztps9FJiO45bNkaMmqbCzlcggZ+9yHJDlr/cSO jp/lS15JtVVhIZWjOVl2CL8Ik44aUw1QIJF9e4cBgSP5j3be2U6Dh0dWJ/TW laPekGPG22ud0LTeV/i2Ywv0H3zrWqcWhXNstituT+lwb7fkZSVOKuqt0t12 L7cTtI1lKT+f9aGjrU9GQUYGXhmpSI+4S8Fvv23KlURoyDVV7LDrWjTUpMjz i833Ikt3tbvFYA/oXvIS3MXfhbGGqQ6fmDnj6aXpZn8tCc7JU+wJjhZY9WPk 341YKqzivrndsKYEu1NMRIW4CZC9JxKNEgzkfRJrQ5muh9eiQ57dxwnsiFQ1 O9BVi7M/rCtaf9ehaYLr5J1ZBlaK2zTZ6tYDf5GjdpAvA1V81kQuTzNgH+vU zR3x1SijkX545wIdQqzG7cyv1ENyge0BGl85vLvywKqMmXsFTw5qrz3YjLN8 4k6LAkyfO57APbuPxCdZQy1nlvNA1Jpo0v5AxTPN717TsQOvKvttHfPJxGDl f2d+WZLINujlcMK2C/jNcp91J/VgzXBxZwyznqpUf11c0YtGgWieJR6XHjgd 80KJzboL4lfakufTX4H+7LFTma9J4GI/GvSvpBuHbx5i1TCnwJo13qujmbl9 1c9uLHNXIJptiG5XWe7Ca68Vh3eL9ODJSVvJIuMQuBykHigbQOKljoYfFbup oGHzZTQqrRPVQyX3Khgy6xnUcrempsCb9+Py9dfbIEn+Tugyc968r2e9dbGt BDOd9u/pRQLKjr1fb7+djjX3r73b290MH9I/fZFXIrAkNbdtk3gVrrVcu8vH sgGd3e8fc1vFQNsGA6Pax1XwwGmnabo0geF8bnl3AxmgIcsZ+XyoFl0/lwp7 xzPA+8PW55VetcB5SCbE+2oOThQff2nSP4yvWnca//++7VyV4ARtF+Z6A+s0 FGQTgEdMxi/6Ri5s5V0M+m3fimIHZ6Q+C3TAn6wDTnLOQ3jG/9DDllqm94YP /IqKHsYTbNfO3O5vxQn69ZuXV/dgDEVJv6upHzcYB8VIesYAq9keRlT6AGqU vFgtS+0Gh2cSz4RTu3BWibKo+ooKoXtSBgw+pYNRPO+cmQNChZBFz0hGD8gJ CVqjQiPGnrM+Ls1DAw59mdr5ORK5BsvmvP3L4FZEGf+LPAJB/70aI7sFs02L j+8Oqsbrgt9p8jK9+CP1ftz6o03g2pcj9MuAgeJFicIblhkQrix0Zs25cvQK qs2wj6JC5orAE6XVLWA7IZHncD4DrjXtCyU1CdCQtmtyU+7CY5yi/3YZ9UB4 X2DP7B8mJ216rpwr/Boec8u+TaqgoJ7SFUEzVQoOt4rkp84ZwypXRa+9zHk0 dG9asLiVAnZfNvg4vO7Ggco95SrGJJTLsZrOrXkHJrrOQy+YdfjzqOsva/Ee aJlh3X+2Pwk/5bLWpImScFf/YUVmCRUVI4Wni/vb4dd31tQeDhKX4+IzVUsK MbfQU7T6WQselb4QnMNJx/+SpVUaqWWwSW71XFcJgXamB9JyK+kw2WWQ9sOp EW9rv93exewz+T9CGYr7kOmjy283sjdA1tJHCs8aBux8UMI378ycNxsKLK52 MOCC9bHfH5sY+OSAxkMXeg2U2k9/yd7OwHPPrNN2Czegv2zb9muUKvwgJjlv LkbgHT5pG6nsRujYMJbok0/HjPSGurNJBPibe3gqPijD058dVnZU0OCwJGVN xe8W4E5lbF7Xnw0jit5e0mdICK2fVVAZ7sDi51tNpe5SoV60SoT4j8Ssl+6W QmsTgO/VX80AmR78YHWH7/5QF5J9zYY9/OF4yXrNxh4mzwtyPqhUetIN8hkR FiylFJwTr3nax+R72dUOXQr/dLGSXtL5XaIb2gpTBGZ/UODKDYp7oU0VpvX5 Ghj89xHDJ2RWTr3NgdTL9YFTi1S8NynwrcE1D1iaLznnJHGBR9SBzPjSarwf 80KqZXMb5N4Ydnzzrw870u+/3BBVBza8IgFPlUaQW9bg4Am+Grx1xnV4Rz0D z65aeG3A1Yt8qBVcLp2MMPCNpeXvIFpk/IuvX2yHCkpmiFg7FV8oaheTN2mw js1MVkUkEv2quGQGTjTBhK7rnG9/F4SFs+aaSZbhr+KV1u1KdHilKTfd5cpA zuh2k9emjfBF5s94n18v/nV64HX3RjW6bEPL+eJWFK1qaDGWJHBtb3/DvoVy iByW5VHJZnJQdFNq0y06cGfYfW71b0SLX3u4E5meUu7J4ZOkUQWF/t+2fuao hvDPs8s9f+jgmTXeFHKuEd3Kz/19rkAHy3dDNccESTx2PoCloqMI2q6Y33g0 TMP6uq0Clyra8J1E+I/X3AX4xLdMZvYdiWFHlDtluDrAY72T0covKj4Yveoz d5AECa0Fzi20LOTwqXT4c4wKMd1xp0/5dMAB6Qstaa+iQWDjp/Vf5Ui4c+fa ziK2brQ0zXssPkcB5zEduTXJTG41or3sEbTB02dzxybkuvHXn0zbgW09SAiY b+cpCINT+8433ksiUX6P+qYjLFRo+Fv0Z2F1F35caVzuZ+ZzMmw1XW2aBITO uKTTmU4Qdgv+l3iCCoav7Z+yvc/BWbYntc+Z69T+e6itV5qGm0+P29fbtwEt oVROmUIg52ODE/3HS/Cskq3jh9FmpHGLOc7uomNlpNLctjNlwLK1Tkub6at3 gx95XqIy9/FM0cbTQo2odpiRFLqbAN1PTQpzXNXQvcdbTKa1Bta+tx4tamLA j/anvQtXG1ByB9t+xmoGpJf9uzF7jcCTX8il2hYEa5alInNROobxX/Iwf96M Kq3bdnueKkWrzMJKgUoC5/uMdfShBThItproORpKeu/cvJWLOeek3O6Y2udj +YGuUIefVBBc6Tn/9n47vI0QEJKt8MIg4b5TX9gGMTRH8VzH2VJocNZ9tCG9 Dimf9nM8iHyB81ikPC5eDRuLzbd9LKagJ6+byZHkdgiJquw/NjaMlfPKihZ5 gSAqomLwimUIC/hn6tdZUfBovO2EZ3wr5l36fAbcB7HMWGyKoVsOCk9HJqL/ 60PNImFa/sceyI/UW9Uu0oQhf7/rTgRT4PHC73ZXk2oQeRI9Ua6aAl08+XXP /GngN7X64No9XWjQford5SsFxH/VVB1W78Ox3RK6JyPCgbPnQsem3zT8QHC2 iL7rxuO29zZqXUrDx3YDnFbCfRhdICNhq9sFl7yD/gYIUtGn79NO6SwCJDTX vWMnonFv6UBrp2Q3JM4Pez851w1Sbf89b1EMRp4PhQ9jCgnYsyihryBORY7c rQcm93TCjqdrD2pFkzhXYqXAN5+Lk8cTONa0taPzpuemP91p2MP6vePLuULI /Z3L90qX+b5rto7hnTTo3W+/Wppowe996lUPkwkQPDdRmVdWBKnc+Wrhq5rg v0P3Nmcp0qH0XP6FyXTEy5rXgm8wfci7/b8Vy2cM7CFOK3y/WwemAWePhWgz cKWxwWzKsx5fdP2NWjSrxjMKS9nfxAmkLwfZOy01QnBUuubXbDruZbSxU0MJ OG9wZpuSQDm+591xOU2HzvTxvdNzWU0wWTrcK1FTBMtXpMN5KMx9+eBlvfyi FS99GHoa4UGDndcOPOaTJTFwncGVBynZoOKfeFPgCRWPtwxvi2fm+JzBhvbR x+m4O9d6kE+fxJs2fCbczP3uzShYn5/Xg5utMzVlmNzFt1/v57OZKJxhyeEP v0MBpTS7+5tau0G6gS/jp5U//kkT+SzjRcLuac4YKn8PAr/ss9DlLrD9K92v 8ojZ17qlPuCYiLEm0UnbODtxehU120SbilpZw86V1algoIozXczvf0aqpDEW qbD788rnt6rtGLGffXrfbhKeluv/s0zKA1t7xcYmjWbI6r7W/vksHf5ycNoE pdbh3zXjWcNCn5jzlDF2Xz0VDvdxLLfYM3DcX/no66BCoF0r2OhxPw6NHr19 fF66FCXOBFXb7m+BqKD3WiK9JB4fDDt16kcjzAgHWp0yHcGk4JvscfylGKYg Z5D6g8TKC5r6L5h+ILrn3eJDaiGuk5OOjTo7hJHf0uSa37cA5/vBfttUOkYd LjPYqUcDkzixxerJHAwhvFc8f7ZCTVvfU0uVDgj8yzM2dCkHvy63GFx6QYfj R1gMLnyl4eQ2nV2ela2QrGv35pNQH77uposvMorxmn/coxjxLjQ88K+Qs5uO wortTR9zc0HKuOZJrk0vHhufqFqQpIHGgKEBY10bOjY8vbJpiAHt2nWGPaqF oOW+5ter1Hq4WSB1p2ucBjEFJosJh2rw/o/xrFVXGUx+vBVy7QqBrK+m3n7e UA37OKvsmwQZaDHzp6PduAnddNbHrEtGzI14cNl2nMC3k9/6bRjNQOVmd2bo 0TEuUe33u3QCloNm/vtXWIJnLOs2GeTS4Eey6h2SpwVOsu27xK2YC6bB7n49 XwnQ7nkVqtnUjou6a+XupVHhRPyRmZMeJG6d8TliXBQLk+Y/PP6s70EXTdU/ 6652M+uSN8a1zQ+bN0Wd286ch/5aBjmnr1Og8cDoRukf3SjdNHwvx5uE7LOz Qyc1HeCHdkVSeHI33PH2DU6xoMBS+pKvgs173BNkKapjTQKd8zTxL6QH17gO bBey6AKt2TNPD2ow/aHDIGlJLxMPBl7gUeHpQJuEI6t6Kqjo+WgwYXVMNuD6 r3tjmf681smEzyGABgu876xlPFvR1u1ImssnArQ4jZYVoovgR9Ip0405jdDY 5VTyM4UOK7CpTzunGt1zfwia/mNAv/7Z/XxaTC/orhkun6+DSj3r3X03GWhV 79V+iulpJn81jPXIajx+p9ZycYmB6yz0VrXZ1EPK54a1Y+cYyD6p6Br2hIDw hEfijfKV+DaJRaTbgg5y8b/0tWOagOKZEVFqEo8rO6+kxv8awtvJZXwX7EpA LnL47aW9LVjYaWB8QjkA9Ooq/rMrLIUf/O+SLc93YcgH1YcNkh3Ad6jz0bDp MK45ew2FPTOhwwu1O/YO43qrTsGH0IVnJxQPv7HuwsWJjZN8TQPYnBodPliX C/YydX/lMvqx68A9GXKaAqPq8xUtRBsSf7uaebJ6gD6c0dzcVQzveQlekwuF 4HSqhmaLVPi4lPb7JtNLvNKnUxqZXvZESPL9+6ZelA/09NCXz4EBXsM7zx4y UNLD8pE9eyc+T1c6fcGpGH1TxlpFyF78Xk3UVYW1weSeM/r7B2mIfin2UVZM nqXVT6Wb5OKe2LSNt9b3QCzH87vSDzpgveLvL4Ny/iDo4vCSP5EA9gsyvrtu UrDZCtVmArphT3724Y5JEsNvOywZuEZj3Mf19PNjXXgwWvXZl1VUbLtaejuP JQmuHOU/4kAncbv6pE+wKRVWrFl/123vRM09kb9fCZFwlddURH4kDZ7wX/zV 9KENKlRqoqr6qDCZNVtx/EsBPvpjV6bQSsDQP8a3LWfo+FX3gN6CUjPEeOQ9 cNEkUKZXbFWXZxVer9xw7yF7A9rsXLVGTZaBrTbnLu7eUgvF/93WDmYw0Kiq 8XFFMwNmN7UN8AzXoM1I3oVjT5l1VpMgPy1VB7+NfvRYb66GVLaO+fubCOgo rVWr2d2IDdWkplUT098PnwrTSCawOHYo7fT1MqBZH23tGKLh2dFBt4vJLeh5 1MN3gL0YC5MCXyYx+5+vU9qpVbcNXiUS/yI0aHg34BWbrjgJay5P6Kh55mDi Y+dj/kw+FKk8Jdz6tBPyDedDYqJDoelV2Pqt7iREHpD30rrdjRsbP3a5NlFg cPQVd1UwiSxnZ2q+VGrjLn4/Mt6uG/d/MD++Po+CW20brx52fQtV9yR26QeS OHUy31FQowdOd/n2Uxu7cBvfhekkWxK2S/jVP7keB3dGDQP3b+mAyR0ueCqf CnmTTYb7eAtgU0FT0Mo9ChKVS3rAmQWNAuaRr9ti4YvqvnsRng3IXLCE9712 4J0rtPYdHcCDj6UmRCuqYLaucal69QjyixXOu7M34vmZmCRFaxpGDKw/6fi2 D4d/8rErjdrikYNa/JGPBvGMdPZyhFMXfGiV4GC0UnB71zOFJk4abGhU0iq5 5AMPj6Q28uyuA4uCLMsFAwqMfao5fcypBuWGVJ6atdPgpntRd9MIge/OlR6x KKsBpdWbN2dVkXgu7/4egV0NmO6jtB1qGlD5R8IgeYvEtprLRm+f1MIOm7Nb 1zPP8WfNRo6xSwyY+Fx3VOBHDUo2DPP0TNNAbV/u5KhqPTQodG1NcSyG7FHL D6m1DLgfavC6dFMbjt4uPfvnDxX2Xx0r+JNFYsJs9Lcpp1SgKmRs6DalYvIW z/VdZkyOYxkuP+8dj5Bj9G5xisSaiEb+/SzdcEyTEAvW6MHzcpv/HTUhIcGr 243lWwg23KCS9x5Q4EviGhs77W5QwJPcz56/wHGxeDM9XRJ0M26/f71MQZ+X 5b8yObrh8dtOFvOXJP5lvTl+helhuEVCUzauAz01DnetzaCieLCUGJzNgU2C lqrLmiR2XApWffucBtS3EcJXxlvxxoeTTR/mCAgQ7VxpeF0A/j4uOo5NLeCj ab59uJgGV9/y7aU8LUN7Xu3kMSZX+ff2NizG0bHxkn/V3rZG6Pm6eX41N4HS mU8ayGfV+FFCZCnauh4/yg1e36TAwO/mj+sfVddAmNqw8lkaA38NTJdE9jHA NFIxgON1Df7+LeDetZkBvxibFZwFG2CjnugaPoMysKny/fMljgDyv1+NRSUt aGbct+TP5EphG51dvOtJfJpzZq+9YgFUJssa1lOo6N6WDIdq2nE+v6Ik/XE2 bnbXG955gTl/RLwbhso7wLpDV9PDhorWl8ngjP+YfPSqyvXeqgQM+KQzM3qy B7iF9uSxf++Cwm+3pjwWS2CKzUmz8mElRlJeRkekxmLcYRWln2l1IKVl1+Z8 gIYr/bLRAv+1QVDsidVvzo7g+n1DZLtuEH7q9crj8BlAKm1xVsSdiuGuz2JC oQGTTyHPhrVD2J16Vqu5uAZKgkritVh70b/02gPvUCqIL60z/XyrFjMOfHIV Od8NBYesZfz2NkA0sZjW/MMVHnVv8OMWooNY27jJ78MUdAsKrO590Q3F0S97 7d/0YYuEjvwWh3dYm/QnbVmBip1ijIKMpz3It+teh0y6K14x1AjnkezDzzdd 77lIUeDCnsI77BIU3HI96uAdJo9k55y91m9rB7J3E62mTTsgnU3c9OSmHpj5 FdP16WYWiteZXh53JYBH8b6jMp2Gxw4kT2vltkBzavm6XDYSWTk4S0ZeVmCj r6Un1+tmrGt56fSTpONVu94h2s0q+Lmq7IR/MIGKWtQmYRYGeO/67UxqN6DR 712ckz8ZMLzIzaeUUAW+2d9rtffUggjt9r1vlgzgOnNLrsavDtm+D1WLyzPg Qlrs6tzHBD5dd4dF0bcSFLXPz03w0dHe5fb7r+otOLnccipUqgRPfjBcfPiL QPsM6k79+DbYNyAjxnmJho+p9s0fjzD76OGkidHZXDzyT+H9JjYabNovI7X0 rQ3Wq+Ts9lBKhQXfb+ORV0iITtveezyiE4XPm3fCNirsTE3z4PEh8daGyl1v z4RAttJB89cdFPz07S5N62436shl+jaz+eFLgZXmxFASda/oJqRoU0A99UDM 6f5u3KNvRxcKIOFvUUL4uk2u4LnKZ+aDXhcstnhrGSb3wCSV59P1tExMcjmE By6RUJrW58yWx/S4vD08pzk7wMZtgPX4CoEhc14+Tf8KcOtdmTaL4Ra0X/Kh 322iofO7pIWwk0VgX6VTnz5BoGbwg5mb9+mwrF57xDmvCV0mQm0TnQhYseX9 SPxXAXMHDV5uuVgH9k7JIy0ODNijjruv1xXBxrLsO/2aGSgtkHJMv6sAveVC 9qybawKvnK+Me7kEvjcKdbmg3QxP75ayW5iPoGyW0LDp1gJk07RefVyiHKe6 NdMTFYdwPkdT/q4cDRwMWE3Fbhehv0Y654+IZKz7oVsk4kSH4jFvOzetPtyF 2k/j+/JQT2DXqdwvqUCGar51qerFEZ/HDZ9EmF54aLI5clUOrGfjDez51AgG 6PR9mxoNPvXXbHHlRhTqkXbuKmXAACv9rV0rAz0DAjmG3GrhZYvhZvdsJi9y 6Z/xFWjAYRmzuZb7NVhdcueLgC2Tz0+asZbpEHBVM8fb4U0ldunwl2jeoUP8 uVtOnaWNkF0mW/ZMogjepJtReZn8I9H5mcX5DokroX7nK40zwCjs6xbH6ji0 ifFNL2aet8ZmsxYLptdd1YxpmU/xwPIrkhHjCa8RBz5LTjG9kPCa1ZyxY+ZX +Z3n587FMz2fpHG6JMKJje+WeWxI/L6lvjD9GAmzpkLWpnK58MZsIjuWvQW8 m7zFL7DS4fXqX+7T0ZX4zftP51FTAia6d1i9qqRjy2+/O18fNkJhkO/7QCbn PJQ3H3YIq8HdHmysXEfrsPLhS9LIjYGb3i82+CzUwCq3Atn6OgYuFDTueLqR gNz2D7/7XKvR7OJYUCgnA8y/Ox4K4W8A4yLbstrSYmiS+DBTTmnDIEOpJPbF duSL+aq4JNsBjfZ/Fi7uGMaaNsmd/jvzQax09TkL42EkX5m77zjdgeuM1cJe Yjf+c1J6r3N1AOeXV7wzY9Jg9X3rqlunBzD3w9s4B+a8uzK3PnPrnk5U98hb ouxjeo7bgSm59DzgldlhvHqyFBptHq5Tk6FC35DLn8XgZgxO1W8XiqaC4vim K1/u92LdL+0/E9aFTD4PmtcYqMB9lz9bRQb2oorc0M9bssxzk3160udGEQaH bFPXkowDdp4xLXdmnqXYMFZ5L5Do0mxcETfjhhyrtLb8VgmFf8Fjkf/mSCyc zikNVyXhkLlx/t/ZGLDtXrVK/lc23pHLD+1fR0Lz6sZv0s40DHbf/k8gshVI pdrn90oIZBMWkz82VYZKIoJe3JeacEf3eo2FLDr+mVJorXSpAoUzw4OPrhG4 PrjrqocqAz6rVJfslKxHlcIQwdKvDFjr4d0q+60aHmWKfawOqIWLew3khP0Y MKmQykOn1eHX7EdCWRoMePLTTPuhHIG8N+vqWZWq4GJg+6VtI+U4XrF2bksQ gUvJf8jtMwTUaM3kNjoX4vb+OHdjjiRITRuOOHmfBJ0rbrujmHmmZKmXXKge CNmvKPxj1bb43sz3gUkIiWP5dVPCviQk7uuMk3T2h3OUcWLMIg/e6YwrEnk9 aPBPo2IgPgf+Rie/EdkQALEDW9Pk9tThnB9Vrbe9DZ7Obx/IWOhHnttsXBMV NSC27fag7JER1D+toqkTVIfcQ98M2GQjMK5SdP2R0kG8fvczT5IMDQ6zjO6b otmhWpWLzDbOKozt/XNxnJMOyeMJf05KE5jBtqlYYlc9RBu+r/pxshejPmX3 OVXUooPlx1Mqis345vKs20MKgbfDfaRXrVTBQEbZ+dOnSbRz/JX+vJcOFvxT YYcU6/HuJveGKA86TIe0hr+n18CTwpc6O7UrIKymWeSxMQPCQh176RnNKDxb sfAhngainuJnQp7+/369SA8B31wYW9yp9sAkC8PWtFUktpAoav+u6eJlEvZ/ LSz6+y0Bk+OFUm/nesDUjvfG/FokGBUne8pGMrmcZcDqBVsEZlaeo8lnJ8HN 6N3Zhu4kntAWffPpNAmFtE5feaZHJ+vv8rrD3g5Ppm0P1ixSYdFhMcvEtxBF 133JsxgnAF+lZT6Yo6GT+7i1m0gLFMNkzKPnBH4tC7pI5atEhZUYv///D9kx 5yju34V09J+f6e86XQXfV9v+W1ElsOmci/BlfQbI63j5p/XWIaue6IEH7xkQ SYw7v4ythXuDR3otL1RB7y9O2ykZAqqm9DfaFxDYc0ShosavFLpk+48Faheg /zH+a+IbSBTnU37drkKC2nDM7oq1WbjH9Utnw7lSyLvFGsQzVY32OekSONWD g1EaNVz722E2TvBj9LYRZFHZEmOSLYTW2sqVXNNNKGljskevYxAhYs/5BAUq VFK3P3ForsfEwvkK88/vIa3SQML3Ew1ygyegzKoPv5DvN4U9sYI3UFmoqheN tsI1UuNn+/D6tcLIlwXMfL/U8ari6lvc65sgo3ghAbu8EY2ZeR6bRZu02UTD 3F3RGc//tIGeduD6idskPv43nf73QjHaNJz13edSBqzPMl4ar2KeD4G6/yzp oPY9yNb3QxNW3/fU/XCdADYZj8u7vcpBif2num5IPWTvV3gV9pEOVV+0Dtee qcGmd3nnL5cxwC6e9P2+xMBALqHnLweqoaC+P1G9io4z7EYHtKYb8eWT/dM6 mytRY/aUeU44gTp7GEknvhLgVMVm7XK6CENj2fzv2uUC94iUXf8OEuxXRE0s H5PoSHiXiDolgo7jYq+bUywa+e6wyHhFotX9gcRsJm+86ebSJKxf4bRVoejU fBzannEwzGFysOlfoe+jQKKAOM9YaUI2SuncTVJXzwWNyPUX7h8n0e3X3mLL UhpU+WfqyLC14l3OjeuF6QTc2vNP3TioGKK1+07K0htgZ2DSztxROkiVjif1 NVfiwqHQZ+5HW6FjhT/0kN4ISmnO7HhzDHHHNc+WozY5uM3hlV0s/xBKhRtz XjWmwZctqdun55NRunbbFacLhZiqY3dxnMkti2vkquU+9eKS6lGioqkCK8nF u0nDRRBSlykxtqsXNcFQxu8lA8RV7VhjXpXBbiLh8WI1gabDItOei+VwjD1y Z9m9Uly9zMV7RJFE8yBg05sioJmNnZFNz8f0LMrJaN9UoJhWjzXvIeG2kfIo LYbE8MEtfJf/+IJAcbPwl+xH8HNKsmw+n8QjzVriDo4kSPDyWm9cCIfDrV62 dhdS8JsMhzF5g4THU6x/pHeSSBSthFFO52Ppgxezs38L4CqHAu/iGhLXSWmf 3+xBMP1LKKJiohySzcIiAhYrUfg2V+KKCYGeOh7v/ZoJEGX337rRtAStfa9+ jZkvgcrQv7vk7zViulLF2HWHbjyQOfl8ZE0H8Iw5yZxNH2byH0vPf/7x4Eq2 mJuqdaD0maLU1hODSG86rBLvmAOf3YXf/jtJg81WxrcbefowrCXn+/BsEtR9 fpHRsj0P7xJjMzT2PlSaPXY9PIyAbyda7R/RUzFUm/Fa9as++h16XOFWyHy9 Pnc0r4tE4T0CGocU0rDOVK6lcDQbfrFfWhPD3Leeq0tXdkwSwP3LtVqsPxfE hfinGiilGJQRQt/I5M7RLOqbP1IEnLeYjFR4UYWW33jyf82Xw63ayK0vbAmI XPl77/IygQS90enuukLYntXdu3goD5cyV+mwHyOx9fod/lamLz8dqKis3JKC AlYDOS1FZsDtOWda6k8CP61jVMmLRC+OZ4ohiiFIj/uqFk2PhpBozx09ziTq K3LrqGuQ4HTQuU1ZNwNsdtTmPHhTCL2qD82+b+tGs1sLkZdZmvFnc96tT4x2 cLARyxKiD+PO1IjajXbNKNTldCRX0BsuS51Oqt82iD8KiEr1HipEX/0b4H8p Fkp9NrkpjNdh1zUDx2pbpq/qHX4WeqoOPZtVHsrTSSwaWy/elcqAQDavsh0e VRhcKBrwPDgPVjziA07xENAaICLG20diS6U+e3T4B4iUFzgfohGA9w99FGxb 14spt3Gj84P/P298NiLO/xHyOX/jehIQga+M9719q86cGwfF83zVSVQbrPhd 8CQHv14U46nxLYQV9RdWpltJnLYQrT6ZweTGDXGXufVKQbWQZ2XlIgH907or /fuq8Nc9lo6xA4Ug9M08yWyWAP6yQMcIJRI3B4otBPdkQUxF3ZWof4k4Mx46 lWVJ4pOCu1E5TN6VNX/6TGA4CBk571vF7UqA4W/B0r9cjO+ve8nWadDx3quu ETKiFVI3Wo5Nao7g1524S/FuArZXXdIrdK3Fj5OOQ8ePDeGj0F09woNUeJHz y1L6axWm68xd5rriggdP5ZPU63RwVOZ8Z+rRh037RNy6NzNzrGvAdcc/V9DO Pqq5eV8fyvf5r2MEEOB/lU0zRDsczq6patiXnY8Hvz0av3SDgNSYvujBOAJb Xsfwc1yvRrVfu5SMg6rAT7bj48VvDIivZ73mzeQGHZfVBlFqJaD5YLtM8PV8 LH6r5D4qQeJD9QsDzbokCOVsGeE2T8UGwd2Qt/kDsL17bXORmaf7aSkHNoSR KButvWXHdi2oMkTVM5WmML68IXU6isTQpy9iolxIKNhjsvV09XuQX8w46RKX j36Mp8NZHCRcLufZrZBKYNl191zGpTI8qfxCuWJNOVBX80pXRBEYylvw9GBq NaxefUc3m5WAnawtATlmI0hkHHbEN7noZBJVazleiaXfLn4+wvQvDQ71HWzH aUA30fHh5SrFHkczqcfRcXjlUcWPB/Z0kFd0W6N0vw+/6qp/2aWbg6X35akN HxLgwzX5JZahXjRe2OoVo06AvVl7iFdGOoS/0pCykidR5ucf7f03c+Dk65Gj 94+mIP8a3Tf8biRGV+kXzrqSYH6tqUqgKRhZBEWUi3adQJO+lrAWNxL4JOXL u5ico9Cq+91C9T1eFX182mVXDGQyMkP/Mj8fa/ffdMdFJj9wSIpo7MiC15ve xkcoFEPIXS7/M8c6cPSewBbpsjbs7BiU4pHogOwHxJvVF6pwqPVgdOKDXpRR YFnrL0AARwddc7S5BPv3bTIlpJNBVE/D+tQjAhrZrhh5zZNYlbhW5cwZJTRI bDOybPeE+FKdp7dW9+LnPf9qDG6SYHHIYl35UhgkPpgI8BhOx3mxqEzcy+yv 98viFSbpsOasUaf1deY6xROivJhzVqp7Q+ftEx9g2HzDGYMj7/DykLDJlgDm dWob8jsGkjCndlQ/gOIEH6V9tcakRrCkNdDKXbsWM4KnFBK+x6JysZLyE3IQ Nz0qXf1MnQaZzzbrvVf3w6tp768fyKzAwfon02zH6WAvS+3Ye5nESoZ5NMep AqhysLpubJKLfkZVAf//vefOl5sGHNIkrGnQY+0fScVwg9Ancr+DwUvFxZSV mQ9bb4w5GMeT+LzM+riFyjtcR/Fe3K0cC5tnfp/IZdZt7yEZHxUmv/JYTXv8 0UoHj1UVaxX58jHv0wPRsQ0kdM7xGZmfJOHoQzElT5Zc1KTG8hleYHLge04Z H/Va9KgO0x+40YO6Ewfz5czbYfG3soXEv2HUmRVXYo19DaEMRlby5RZU3LY/ iEwfxMCjnznajPswUDB7L3eVL5imTnNw9SRgcTAX17Q4c04JpTpeyifgV/Jo FyM9BK/muQR9FovGRcnral7ZBCh5/jTXZ+Z69EzKlHJ0AdJPNGcX8BeATFzP Cak5AhwtScNgXRJ/WXaKCfxIg5Oe1ImXz5MwhBctNf8jcYRl7uGsNwkGP3VS pHoDcO6axYVFiSiUf3f5wBlmnypeTvf7dJPEBYn9ksPjaXiRN1I1OCcLyluX 6zdcIjFRm8dJwWgENz//cl0msRwnKK+PZgjl48OhxjV7Tgzh9A72ZVNDpjcM a7oIWmTiYfuzoicb81CHzsKbZE2Hp1f/e012EXCZteGLy8UiZCmbYLXxzYKG 9/4eTWtJaOndMtTI9LAmm++utMJw6OLvH/ydaY8fL6VzMJg8Mi17i931DQlL tR37f2zwgzLrpLv9svE4bd26J9iUBL+i3N2npUic4dqa1Z6bg9unvjaUq+XB /rs/M7gOM9evJvPxYnUJrLz68yiupgnb2LOLeQe6ULY0aMFXsAOG3/Rv2jjV ix6Z911ey2dANAfXT0ZbAWZZHNpW/bcXTQfK+v//vAXRqKN3crqzcDSoSS1U yQmil/b90mWeT9Do7zccH0kMTHPZaDiWgLRLwTIDpungrhmNOpUkfv2vb0KS nQSWzOOMctNsGPSLjOOkEUhNfpS2JasYMpbbu/wiCrCZVGOXZyfx5s6v5luv kDDq0BnnxpOJAvEiLFylb8HBVkP0GNNTxYye36Mx++7NvxellbVv0OKIi3VR SQgMJruPb/AmkTuEO8qauS9bPvPXV+kkg3qb56p3dY0YLFX1XSy+HSK7uqsq /lJh8vj/Gi7TuCbPLIqjqUKASmSLIsMqFFNEHMGJsXhl1aoostUFLHWKoj9M C2VSQEuBDrIFDSUBEylLFkDWsBRZLBcUl1J2SMhLCgmIgtRSpUqtDDjv1+fj c879n3My66KnhfB52ZBf30MCwdzSjr1NBt2V7GftzCJ047ZHN60S2BTMkj0i d3RJYLVnx0Q2vpvfdsc1MRclT1jvc8i95zoXbNweRSD7UerU2e9r8L11Gufh p41Ai41NeU3u0Vol1WLn/RbINny8Xj2ggtgLEm/rbQQucMyjAoUNcG7foRrh YhVG+ZznDZE+7vp1cYVB+rLX3ad+4c9izKnr6qq+2woNOU42uj+2o/dvAh29 j6cw9jVj2Gp9CbJPHJy1eNyNk05tjdstNLg/p0LlkeMPl4T+BUb7lPDCcCHl SLYaZxYu7+w4chN14ju+fbZiDmNDRwtCXNTYULZUpitWAbFlhn4snAcWal15 144G7OgfUYtInl6LZKmHHjYjLVGaxTcjcLExcEOgD8kfPbPfFTF1eL5TPDsy JwU6s8Sg+d8ErCjy6h8LSH0+XxL5/JAB2sPr07Y4XsEEHQXVm8zHkMbaK1qy T9gwe6q+kfHBgvIlzWW1HqVLboTjdrLf1W5sm78whcdk4ff/eeM2OnoFrd2Q 1opFAr0WWy8NUpqX56IDFLBJw2wqLGvC/AlMeFtQg9O3t7J6k5XAeaeX0QJq LNFz96GdbsbJ2YTDdA6BtC1+Yf1GFRDtarviWVmICvPou81lBHqXzhx9d43U V0D5pFHnPC5Wd7o5nePjSf6rYRtyB1DU4ghjUl+BRcajAv9bODPm5pc7UwXj Vl/zJBEEZoqLRxptWyHIkeWsn/ALOq+5HEndO4AHTHmbcz37gZK9uiPjdCFc CakdHitQgSM3rfjNEoEH86l7Dvvko4vY8D/P+KUgDzpVRp0nuf9xm87yHjJP 6EJJ8kIZ1CTNbVyoK4URhUPMuUQC/rja2Uch//dNTcKd9NFUKFl3Mqz7EBu4 X/HEIyRH+AYHHJ6Q+ezMqhD45hdCCHvIIpqhAFem9Va7mBhoC8txfv72FnYe NvioREvgqFBZd4vsO5SI60/NX5ZgSUqOkej3SJioMuzxIN/3h6/wCq6TPi78 YtxyWoxP/YPf6ZvVQNA+oiWe3KXThzqc93xGgCra7IFgXSVWPAliaOzbYEij SO/J60T5zYG/XyerUWtimlvczEGbvc+1f9wXYFQOU+63V436pQ+XxxtUoI1x Lo+1vYRbhc+z3QIqkfejSeqHN1QgTDv2KrW4Duz+58Jd3U2A+/p1eIPMA2lh EZ1GKwXG2gt+ibo3McS9J8WaR+AJY6tPLgpI3nzoGhvA2QNGo/c2aYJvoXDj WvPKCAKOVo1INMen0PL5kfCrY51oafjndi55t752B0SuhhrMa/3oZW+EAk6d Vv6kSJfgyfejL57taMFPC2e1BqeU0FL6xQQ7WwZGDvMcxU4Csjb+9ji4nMCn U5tTQ2fi4OrsdBu9Nge6nSd7k8i85lkNTtyIJfO0dfsHcV+J4Vri5rX2XrXI vZMYb7+fALflPLaLXRu4T+0yC6Y+wMxBbfpbi2F8k7EY06rug6jkvPahXWqk /hXy7YxMDAy/TEneGTlWaCXBUVZqnN4tnQktU4Fo/IGjv0qGf1tmlQf4ZKAg knmluEUF/4piUHvaCPSQXM2aPCrHuLOelDQOAY+k4jF9XSnacE1poo4k5NmN bu3MJWDQpLqankzuqyO1ideNS/F7XbtJZZ8M/tvkew9jCTSK57mle/SggWsz 9/KafmClHo8afEZyYQfdwF7NB7nIZklnNBnj73gG+OiPo6ci82Aoyc/kdqnv 107xMOjxuitsVIwiz7CVm14ExBFr+tM+JbB/m+Z4N7sS3nsVZ2JPFWOxef5o fRKBvnyu3DOPAPluE/lMbjreKzfRN7ZuBfMiuqLyYDOycNqQeWYKh0/OWVz7 uRJfDFJ2F31wF2nDa+R6TA32Fl7nN3jnobVg4kR4pBKybqulvalqdJD0m4dy KlDuNKGsnxKAc//0N95GatzgunPglxQVcC9xGh84iMGqdvKe7yUCWhabKg6c kaHXQNs/bP34EL6rtzwwifT9IjH6HXl3L/qkIs6m79CU8dfqrpeZoJpkmXaK CLyoIysMiyPA6xWDTo2WAmM5qGU2pBNC2Zr58n0q+D+MRkXY "], {{}, {}, {Hue[0.67, 0.6, 0.6], Thickness[0.005], LineBox[CompressedData[" 1:eJwl2gf4zXUfxvE/kiQ7e++99957r+ydrNAQkQqJrEiy90iSpGTvVdrSlApJ kpLskOf1uZ7r6jzfz32/7/t3xv+c3/n+jidPn2FthyZKSEiYcV9CQqyPJ01I SJMkIWEKcZiucG9Cwld0y8QJCQ/Tx/An6At4YbdyvBW8Orwd9HX6EZ2k9yQk PK/zGn0PvRLPQXeWsSQ8oZOWN5X+gK4o8zXdCuxHf4U/Sf+JV0mWkPCd4xUx z5WraH5H7nV+A7ny8iutdeVP8nbKZbZukWvued3A++vdS2ekx+rOxEvpPEbP wZPiq/T/5efEu1lvyXfHu8RjxB+hy9In8R14F/0XaLWEJ83pDNPiNZCdI/sh v5L5G35rnUfor+WG03/JVXWM7+WKmufJVTJvlKsgt0quntwu7CY9AE+Gj8Pn 0vfSq/FcdFeZD+n++CnakjBcPz0+HbuBzWUe4Vc2f8tvI/eM+88q15//jfUp /kX5avzj8sXM8+Urmwt6nu/qrMEayj5DV9Rbba6vd4q/Wz6Ldat8C/xffKD+ fXQmerz+K3hpncfpeXgy/HX9W/zceHfrbflujnUEG2A+zd/J76rnv4Sn/M+D Oi/HayMzT+YjfhXzd/y28gPob+VG0H/LVdf/Qa64eYFcFfN7cpXkXpdrILcH yyq3DbvFHySX3PyC3Cx+Gbn5/Pv4a+Rv8/JgPax34r2i/xE20FzO8/sF24V1 05tAQwkjzBl0v+TPkP+XOV++Dv4xXpX+Hr+fbqc/Ri5b/I3ogfh35pHxueBf 0q9hPaFfwrxQt6p5k94b/EaylXXWWBvq7JXJxt8uc5s/WP5+8wT5BXRy+g25 vPGcZD+mB+FnaLWEkY6TEZ+JfUJXw4/T7fFB9Pf40/Q/eEm3RXg1/ffxKvgb eCN8H5bdAXdgd/iPyqUwvyj3Kr+s3EL+/fy18nd4+bCe1v/kesb9Y4PN5b0u v2K7se56L9L+S3janEn3GP8V+VvyC+Trgp/i1ekf8BR0B/1n5bLrDKAH48fN o+Jzyr+sX9P6o34p82Ld6ubNemv5jWWr6qy1NtbZL5MjzkMy//GHyD9gnii/ iE5BvymXn+4l+yn9KH6WTo6PcpzM+CzsM7oGfoJ+CH+U/gEfTV/BS7stwWvo b8Gr4W/iTfADWE6PYxd2lz9ULqV5ktxi+gF6nVyBeBxyd7HecZ/8Iebf+Hv4 PRzvfvnR1izyX/Felbstt1Cuntfsc7wm/SP+AN1R9zm5HDoD6SH4iThvxDmG f1W/lvUn/YfwMvRS/Zp0IXqr/pt4E53quuusTXUPyuWKc02c5MzDdFKZX5Jf wkpJvyVXkO6Df04Pxc/RKfBnHCcrPhv7gq6F/0R3wofSP+Jj6Gt4WbdleC39 bXgN/C28GX4Iy+1x7MESmR+TS22eLDebX05uqXwq/nr5Qvze8SHi94375g+T r+C5/o7txXpiE+kHxMaYs+l9zX9N/o78Ivn6+FG8Nv0znpLurP98fG/pDKKH 4T+Zn41zH/+6fm3rz3FeMi/XrW3erreO31S2ps56a3OdwzJ5+HtlEpsfl09j niK/TC41/bZc4dgT4Efpx/DzdEr8WcfJjs/BvqTr4CfpLvhj9M/4c/QNvI77 ORmfY/MKuTrmHXK15N6WayH3AZZXbh+WxPyEXFpzZs91auwxsPKxL6GX66XB N+j9xy8S7wNrIrwH3i8eE/64fkX6D3wf3gufRKfSf86cQ/8b/lz5/+QXyzfA j+F16VN4V92xMrni+4x/0vo8/6ZOXf6p+PuaV8rXNe+Ury23Qa6l3IfYPW5P 4unwafgKPC39Dl409gz4MfoJ/AKdGn9ePyc+D/uKroefprvhT9Cn8LGxl8Hr eRyn47maV8nVM++Se4vfLPZt8u9YW8mf5h2Ry2fdL5fUPFwnvTmL5z5dbw5W IfZm9ErddPhG3bv8Ynhfa2K8J94/Hh/+pH4l+k98P94bf4lOoz/WnEv/W/58 +bvyS+S/xuqbf8G6642L/UHcL/+0dVzsGeTr83+J45tXy9c375avK7dRrrXc R9i9bk/hD+Iv46vw9PS7ePHYL+Bf08Pxv+i0+Dj93PgC7Bu6AX6G7oEPp3/B x8c+AG/gcZzRrWx+Xa6BeY/cen7z2MvJv2ttI/8L72O5/NYDcsnMI3QymLN6 XWbEHg+rGHtFerXug/h7sdGkS8TnDk+C94p9QTw+/Km4f/oifgDvg0+m06mN N+fR/46/MDb61qXy3xob6v6K9dQbH3ua2Avyz8T+Nr5/5Rvyf5WvYl4j39C8 V76+3HtybeU+we5zG4lnxGfGHh3PQG/CS8Y+Af+WHoH/TafHX9DPiy/CErmf Zdh3/EZyZ/m95EbQv8Y+Kj7Xco3kzspVNb8h18i8T+5tfovYz8lvsraTP8P7 VK6A9aBcS69JcvppvUx0NvoV3Xl4pXju9Br9jPj7+onoUnFdgt+D9449gv53 +Mh4TehL+EG8b+xNdSdY8+kujusd/nK57/mNdX7j95YfSZ+NPUt8fuQay/0m V828Vq6xeb9cQ7n35drLfYbd7zYKz4zPir0enonejJeOc4bjJJV/VO57/tNy //AzyL3Izy+3BEsitwI7zm8id47fR+4Fft7Yy/F/i+8k/qX47sKaWM/pVNd/ U6eJubDnfwDbgLWM70+6kfhmcwfdX/mfyxe0HpJvhaegR+tnobPTr+rPxyvH np1eq58Z36KfOPYHeH/8XnyI7nFslO5l/iH+w7E31ZloLaCzNM6t/JUyP/Cb yv/O7ys/ij4X5/v428b3uuw6vKnsQboxvgV/CP8Ce8DtGTwrPjv2JXgWeite NvYN+A/0aPwKnQmfpF8QX4Yl9ThWYSf4zeTO8x+WmxD72tjL8X+Pc2LsneP8 iTW1/q7T0XOv6Rhv6TWLa2D6EP4O3iq+4+km+lvNHfXP8o/KF7Ielm+Np6TH 6Gejc9CvxX4fr6KzTjcrtk23XJwH+cn4w3RO8J/RucrPLPcSv5DccuxHujn+ B90vriXp83G+oZPE97fMery5/uF4Pvg2vFNc+2Cp3J7Fs+Nz4vsIz0Zvx8vT Az2O++L6PO6LP0buGj+L3GR+YbkVcV6XW439xG8hd4GfynN8RPZFLH+8H7E/ rFOwy/EZxppZz+t1kq3tOG/rtohrcfoDfCPeOvYpdDP97ebO+r/xj8kXtn4g 3wZPTT+nn4POSc/VX4hX1Vmvmx3boVshzn/85LFf0PmJ/6zOdX5WuSn8InIr sWRyr2M/81vK/cnvH9cp9AW5qXRSuo7sBrxl/N5AN8d34F1in46lcXsez4nP i/MjnoPeiVekB7uf+2PvJPcz/zm5G/zD/H6xB5Wfai0qvyrO7/w1Mif5reT/ 4qf2nAfoTMQKyA6mn8P/NE+L65T43MZjs/6h2xmv61jv6LeK3xnoI/i7eJvY Q9Et9Heau+qf438tX8T6oXxa81jdXOb5cU3Frya7QScnf5dOpbhW4qeIPYP8 Sf7z8jf52eWm8YvJrcZO0a3xi/TA2EvTf+HT6WR0PZmNeOv4nYFuie/Cu8Ue ESsa+yYsnXmcXG7zgviMyuWid8tVpofIPRDf6XGf/LFy//I/4D8Se0756dbi 8t/H318uufUNuYZek9N4G72/8TT0IN1JeME418fvWvhF88v41fj84C2sF/S7 4PUd7139NnTx+L0Bfw9vG/s/3d3W7rEXkyvG/0guvXm8Th7zwvhcyOWm98hV iXOfXMr4zpQ7zR8nd4ufU+5lfgm5NdgvdFv8Ej049nP03/gMOjndQOY9vK3+ J3RrfE/s2WPPghWPPRP2oPkFubzmRfGekctD75WrSg+TSxXfIXGf/PGxR/Bc b2MfYv1jv6kzw1pS53i8vvGdal0r20j2DN5O9x88Lf2o7kt4ofjuid+x8Evm mXGdGJ+feE9Y/9Tvijd0vE367egS8XsDvglvF/s/3b2xP46/sVwJ/idyGcwT dPKZF8ffRS4vvU+uWuwV8DP0C/gdOjc+03FK4WuxX+n2+GV6SHyH0//gr8Rv HHQjmffx9vqf0W3xfbF/jNcAKxl7JCyj+UW5/OYlcov51eU2yefj75evHtdx /NSxR4j75k+IfYvn+h92BBsQ51s6j94r5tJ6P/DflE8Rq3xj/CzeQf8Kno4e qj8ZL6wzlJ6AXzbPwq/H5wdvZf0r+o61WbeD+XP++/z2sefT2R/7tLhPmVL8 z2QymSfKFzAvjbxcfvqAXI3YF+Bn6Rfxu3RefJbjlMHXYb/RD+FX6WHx/UJf wV+N6/B4z7qfi7pNZLfIPWT+gt9e7oBcH7kTWOnYD8X1q3mSXEHzMrkl/Bpy m+UL8A/Gd2l8/2OPY2niGPToeCz4xNiHxY9dcY2DD4zvBTof61Vz2bg//lux h7Gui8eGn8M76l/D09OPOf6UuFaO7316In7VPDuu0ePzhLex/q3f1LG26nY0 H+V3kD0o21f2R6yM3BdxvWh+Sa6QebncFrmC9CG5WrFfwM/Rk/BEvPz4bMcp Z16P/U53wq/Tj8d5jr6GvxbfN/H+dT+XdJvJbpPrZP6S/5DcIbmH5X7CysZ+ KK6rzJPlCptzeY4rZJdiNWW36hTCDuvcE/uBuI7G0sbzosfE48Ff0q1BJ5b7 GB8U3290Af3XzOXjNeC/LZ8yXvd4vfDzeGf9G/iD9BOOPxUvGns+7Lp1TpzT +e34/+g1d4ztOp3Nx/gd5Q7L9ZP7GcvmNgUvgq/Et+GF6Q/wOrFPwM/Tk/Ek vIL4HP0K5g3YH3QX/Cb9ZHzm6Bv43DjnxXvW47is20J2h1wX81f8TnIfyD0i dxIrJ/dl7OHNU+WKmnN7jqtkl2G1ZLfrFME+jD1LfPdjT2Lp4u8Ue4V4PPgU 3Zr0PXEtiQ+O72C6kP5cc8X4m/Lfif2jdX38/fELeFf9f/EM9HDHn4YXi3MQ dtM6L84v8X7lX4lrQMfYqdM1fmvgd5b7UK6/3Cksh9s0vBi+Gt+BF6WP4PVi j4BfoKfiSXmF8Xn6lcwbsT/pbvgt+qn4e9P/4vPjMxfvU4/jalwLye6S62b+ hr+Z3yH2b/JHrAPkT8uUj31n7C/N0+WLm/N4rq/rLMdqy46kd+oVwz/Suze+ 8/HhePp478QeIR4bPk2/VvybhNyn+KOxb6CL6M83V473Gf9d+dTxno7fRbDu urexEY47nV88PgP8W9YF8f6O9yr/Wlx76O6W7x6/M/C7yn0kN1DuFyyX28t4 CXwNvgsvTn+MN4g9Av4XPR1PxiuKL9CvYn4v9rbuZwN2kd9D7g5/ZDwu+rbc wng/xHtW7nrs1XX2yPUwl/Rcv4vzEvZQ7OV0PrYO0vmdd0a2gvUr2bayuekZ uiXpvPQbuivwOvEdSO/WL4F/EnvG2APgT+EPxmcl9gz6F/GX9WvHv1HEtTw+ JPahugutVXmb5NLGezx+H+H31PmP/7TjvUzfkVtEZ4xzoOxevGf8tkB3xz+J /Xdcc2N53GbipfC1+B68JP0p3ij2CPjf9Aw8Oa84vki/mvl9LJ3HsRG7xO8l d5c/Sm8G/Z/cYjpTfHbkbsi109kn18tcynM8jm3FOsqOpXvofRp7Vb3z/LPy FWNvH108L/2Kfmk6H/2m/kq8rs4oeq9+Kfwz/fvoxvgIPAM+QfcSNlP3fvxz /tDYf+ostlbnbZZJH+/p+D2E31s+/rF0tOPMNN6VWyKXOc5/svvx3vH7Ad0T /yz2f3ENiOVzm4WXwdfh+/DS9Od4k9gb4P/Qr+ApeCXxJfo1zFuwBz2O9+L3 C34fuUTmZ+JvzC8R+zZ+/IPhUvks/C78mzIddA/w+5hLew1OxLkf66Qzju6l 9nnsnfT+4J+Tr2T9Rr49np9+Vb8snZ9+S38VXk9nNL1fvwz+RezL6aax98Qz 4hN1L2OzdB/Av+APiz2ozlJrTd5WmQz8TTJX+H3lE5vHOM4sOhG9TC5rnANl D9J98R/p3vgXsQeJzyBWwG02Xg5fjx/Ay9JH8Wb00+4nk/wkuSv8V+VSYqXl lvFrmbdhGeXej98x+A/LJTE/G+9jfsnYv/ET85fL3+Rli3OV9V+5bvFvWY5x CH+YLkP/hG/HO+uOp/voHzU/pn8hfleQr2z9Nv5eeEH6Nf3ydAH6bf3VeH2d g7rlsC91m8celJ859gU6V/mzdVJhZeSW82ubt2OZ5DZj1/j95O4xP6c/O7aD 9Aq57HHukz1M94vfEui++Jfx+0O8P7BCbnPwCvgG/BBenj6Gt6BHu58s8pPl rvFfk0uNHeU/lvT//7+Rsjr/AwnoRz8= "], VertexColors->Automatic]}}, VertexColors->CompressedData[" 1:eJxMnHk4VO///yWSJYkUUiRbuyKp5KVSkTWEbFESsidkKWR727dsISQkSSpb tiTZyb6VGcvMmd2WVNJvPt/rd7nzR13X4xrMnHPuxzyfr3Ob3ddd9G+ysrCw xG5kYVnP/D897X9fJGD5v6/Z//8/C0tFv6XU1l8kmGo66RHyhLHGdxgoyhdf J8ODCzdsaYqIU+dfj1xpIkNJPrH+3AB9jbvVa24RlKTA3lHt8OC7iKt0/2ib i6SARVtOV8EmxD1Z1HfiqBSQTLvsV1VMW+NLHkVzlCtUyJNkFLw8h/j+bfuN N9VSweWh89moceoa7xjWvaK6kwZdDRpqV/0Qf/ctdCAuhAYz1fxNG7cizrXh On2eQIP4xOMv8ssoa1zA1CzV4QIdwkBl3WEDxG3mbJv+vqSDYuHRgTQKeY2L F237L5+XAT6MIL6FCMSl8oe7HbwYcHehofWQBOLfuioL1L4xoKYNN2f4nrTG 6UFdoZtb6WBqEJG4KYIEbuu4yjhx6tBT/7V1soEKq6+mjbhdSSDP/QOv/cQK kq5UbrEcI4M627a3TcYkUA/b+Fj2igMspR/vPt+JQcPnxlLP0yTotYxrsnZy hw4W8YoPLQTgYpHVeLqHBL6ky6XPU7wguL7v6QxhGn4dtvGN5CbBRyr+9Al7 Pxg/eGCD5/gkCHXv0Hacw+BR/i93wy8BsO27rlPJIg7GbhZVbhzBYHsiZXvp mYcQVVX15/uBb+DqNlcv9gGDK8eP/2h5FgLimCiPndgoKFDf2B4uwGBvRNPU l9Ph4NeyTXKf8SBkWmoX/IrB4JLwiZz7zyNAaKOpzKfTvaCgej2szgOD30aM 2zs0okFuy8Qqn0sHZCUfXv/HFANHLRa3u+Ox0HD3eONxWhMUT/cJ/TiLgSD4 Pa3aHQ8BR85XiidUASlnoZMki4HKYeFHci4JYOVPlZSsy4N2I7JoKh8GUbV7 Xe7lJ66dB7+gv1KfxojwJCfN8PPOp2ucfL9/2NGUCGUJx1ylblWt8bjL41F1 eAKwG/RdGtnetMZ36WlbUiwJoL5easPhHR1rfFpyTq5xegb2OGcqXWn/ssZb zhzmXXWcgcVzD19peQ6s8cSIwY2ClGkQfvmuut11ZI2nPC9lG3SbhsR9bZkW Ml/XeODiwk53+hS8zXwU8T4Zt8bDw76cueM0BR3pC9I34ybXeOss3nbX90ng zj17WMhueo3Phpg9z3OfhB/zFetibxHW+OU5Dlr/Mh64dHapbj6PrfHuPJ1T DoF4aNt59NoBYXS9ywev5o/+xYHScUf1TYJo/fWewAt8D8VBq2lK5g86Wt/r /u9fHKz8/d8XA/Ye95sYbGWuh+s7qxu7kX9IiZcOWB0iw2t2XacTtxFn2+Ox ITCRDCmeUolCGxA/NHL/7rFFMjg2iEjaPEP+Mfm823m9CQXO9XrtTz6D+ChR bNGuhgINr+89k/uKnl/5yXsctrupMG0pniDvjXj8J4c8v/+owNl/6LsoH+J+ XqcHpWlU2CVh/tG9GL3+D2a3H9ldpsHI6UNsR9QRt3JfxJ8pp8EpmWcVxlPI P7yllh9LttEhinRykByE+Hsp60PHfOgwcUfpto0Y4o2dddIG3+gw3D7qfuE9 Oh97Cr2KN55jgNfcblqcEeJB1S3vh4oYIDTR8/UDHXlJS1lYfLySAVnj6eu4 k5meCaxq6vgoDZa7jWR/NtGgOPD4XR5/EqRH3tPRGzKCMq52J/EuCkiY+rNj N0ig0vpA5ZTPTVBb9pq93E8CNlvHssxLTP/kbuVfSnEBXOf+j+vbiTBz4/tK lBwJ9kq6VYew3oV9uHsv+4ZmgFXowvWU7SQQoQh7ubH4QOnS3/6X+Cn47y9M +65isJRB2TLH/gB8ttSdSMDw4CMyFXRyBoMB0TvngziDgGq3rTyJHQf5FG3l rUwvKt2MD6u5Ewz9ehS2w9Lj0FuinyjzlulLnL9T51wo6A0LC2mcGga7Zywc go8xqPxy/2zhnf9A3a7ymdelfrDrNk4ZD8RAUilpg/bPSDBpsenLP9kD9hT1 T19vYfDmi5dzS0IMuJ6LtJIsaYFntet4f+lgkH909eCvsDhQ5Ti4WXKsAS59 vHFn9hjThxWXRO+2xIN4pcXNtOXXYLri/L1BFAMbz92sA1xML51I1xizDINn lDMJxWwY5JS17NsESWvn5w2Lw1+hx0T4cORMNJvv6zV+2m64THAXEQ7zeq0r v9mwxod6kr4bZhNAZr+fbLBwyxoPOPnk8+BuAgwxXr2nDnevcSP5ODFc4Qzw XOVb7MnuW+MHCUGRnAdmINJb9FjUnaE1vjX9Y+jdkmn4RoHirVpja5xHV3+L pNw0rJb5XHXYN4HWa93kq/mXU3A2o8kkLhG/xvfWXO1XPzIFDrt2vFDxm1rj Fu93hePfTMKDS/6pfbdm1njO+yPtNceYXJwirmtEXON8mvuTxGrxQD5W2L3z MLquA5Ok3XJV8RC4r7tPdDtaN+snXL7e+oiD1ZZ1d1hZ0TomZcz+53MOBzYv 27t8f9DBGotQrnxNghOveS3wROQZvbf9sie3kuHSTJPrtRDEN58ayNjmS4ZI y6aVoF2Ib7JNLTg/ToYY+XXzBrXIPzYfy4FHhQKKg5NXo80QjxqLvHYwjwK8 dZtOOn5Hzy8504p/DwcV2FaUwjwTEFfL5NJ860IFo5UYnZm9iPdfeLtNZIAK zfozQQ+akH8upFvcNTxOA8O/pyTPX0c8orDWjJRJA765sdOlv9Hx4jHDDfes 0iBGpaqhJR1xIlhO6VrR4c3VU+UaJxBPnEi4u7eZDhzVGyRd+5B/JPZ+Th+S ZYC3a+/qB1fEDUp7zu+OZ8BFUouB90bE7fAjD2GJAUcr6wVNn6LzKq2fYMx2 kQ5BZCu26IdMn1yoTyx6ehlUb/Y/DrxIBT72IyU/7ZlecjgV18RzA6jSQuuG jckgfeyM/JHLJMAnxRjFLjmC49sjrZJaGPQJjg+uO8701YeA+oWKO+Azq1V2 SY8AG3gqrmTuJIE2+V3ipg5vEBmzr9GwmYbG7b2v1rOTYLyJIPOowh9KxL6L BV+fhFaPv7cMKBi8xiua33YKBNbDb+J3++OgQdbPh7cPAxm/Ot3y0YcgF6If mLD3K0jw5T5/Wo0BV5Tp0XbNUFCy2pFgcnAEutRHFSVyMJh7uVugdjgc7FKJ 0z16A8Caov/kdjjTP4WEvpuXI0HJ7tqfY8pfoOvRFWkdZwyMk+Rpc7Ro0Nv3 7lV6TBvsLkoN/22IgfMBuCNyKg4CVMqwg9ON8LtvR/MdZQzEfKeubb8bDziP L7wWn97Bbt3X1gMSGHTrZ7az1iZAALfBj9FH6aC0O9k4l4uZA5V+an2cRzkq 9cNbfpf3RHBljTmOcb5Y40l3Bs+fUSaC91B8lbpw7RpXiFf6wPmBALz1BVUl Qs1rXPf8Er+1KgHi7pFxm351rvGdxaqyX5pnIHXKaJtAee8a/yUw0vFQawbU vum6Uz0G17ghf+fFTx3T4N3hI+9qObrG9f3Wcf/Rm4ZPzrm/p2S/rfGzVym2 R7um4I/oyzkpQeSl4RxBbkvdKcg05yBd3oC8JGAU8ONB/yScX5qY+k5EOao1 +0K1nOEkVP13eQvjG8pRcllpqr9G8bByZipsWzXKUYUZJ402WONBOi8gTTIV Xe+Pjxw/m4PHwQ6Wiq9hkWhdWlKwruM3cSAYfKT8xB06zIY4BX3Hk6BI4MD2 vArkmaA7DYdD1ckgJD1iL3AZ8R9cAq6UF2R4GhO6t4SGPKOndfOcFA8FNLUV jDyiEb/UHpXxy40Cel08f7JkEJddfBOe108B92czfN+bkGcGh+JXCk9RoekD R+asBeLfaG1/1J5SoeZF12PDJfR6JAubH8mz08Bzrne9bRLip3bee+d3mwbX /MSnRQ8hrqC83y69iwa2Fs5H/rYhz/Cxf30ZdYgO/yXVUHhuIx7HbXNPJIkO 3DHHxB+wIz73njzkt0SH519LPog+RcddUka27oQFAzzd3cauKSNe2tRwJKaJ AeT+4VvcA8g/GRN3+r6rMuB3SsIlnjgSUK2VplbiVCB1Vvgn7SwNBoR4CZGe JFjqkedc4jIHydIPUG9IgWOvWs0HLZhekm2ivibegqzWoYl2PRJMJqcc4VIj AbtJp22JqBsYEaVqJzWIsPyad4/QPma/C7V+t13bE4a78wvNr83A6p4B5/gt zN9L8TcdUPAFdf5k2pZrU6BHfCm0+AODkJPL/tL7Api9JMwg2xkP+xqaM3dP MHOU8atDac+C4O35hbebRScgskRsVfgzBud1bOobeUIgQDQ4vF1iDIK11/u/ eImB27Gcwu6UMLDTE8o6oTEErKwyQxyPMAj4PuaWyBsBckr/2e5S64MuDotY bV8M4j6fOaGQEwWzev36h927YP0ZZRsnawz4Ntcwso7HQra59ZaSzmaQ/eKQ uKyOwbhSLTbSHwfi2bq3FfJqIb3shbjTYQyOLLwe7t2RAA1LfV4vjIsh4fmB /4q3YbCc9kypwAT5xywmjyXhJxEudfkp3M5JWeNdIEZt9CGCxvX3q1vd3q1x gvmoGPkvAXLlpPI/qzSucR++ub3ZDwgAKXopV0Xa1njZYXU/rfUE4Hhzsn1m rGeNx1ZPbGNEzEBAV+uXmMh+lOsrD1yK5Z6BXn7Sj/3uw2h97K7+JBU3Dce4 2aWqToyv8ebdT7drbp6GDN/nZsuCqMd9lhhdLouegoc7xut/bUE97t5gZqa8 wBScxB1y2j+PvJQvXit0LnESarNEtF8TUV7yHhQdV98+CeoVwXKvOlFemv1R Q1R7gofhvU7bpfLQdW0WxR+lIo6HkdKdvILJaN04RBV6H3qGA0K81kb/f/rQ XZ1ltdrdOCgdvEms9WXAqio/pfAZCTJNwkpmF5B/gpuEZWQ4yLBt4IG7ewLi gp/Z7fDOZAjpTTxSuQ9xvwPPGrR7yLDLaXFYsxX55/aZwEK+IxSQMxGaC7dD /ObAmUebU5nrq8mYLWId4ht0+1PW/aJA0qVP61KfoOe98z/TXT3M3OPPB76t iogHlDDKBVqpsIPyfDKk559cVGV089I+Zi7CnVXQdUE8+1yuUG08DX5d+REw zvHP4+VypvDzNNhsv/yuIh8dxz8d46ctDOiQ2VFjpnwBcV9sJWNrNR3EXmes BE8g/+SQ6FvqdzDg56uisFF/xJVf9HNdCGaAJb0pxkDwn95n0ip4lszsfWd6 Hhq/Quc1ykGOwRlOB3rWd83OUBJUXmhyfCWgAxH8I0ePBlMhfDQiiNWJBCUn hU9wDlqDqood5+M0MlRkvFjwMSSBYEz78tiz21BaoKD1LgqDVufuc8onmbkr bmNjEf8dyPYuVwiNIsDGUBfdbHGml0jrc8eOeINe567SlGfMnrDn8aOLG0nQ aTJ99BafPzTn8wn4P5mE2Zzo0Wt0DHY3pRKviQUCb0LgX2IlDnQuJqZxD2KQ wTEgLx/zEEzEQkHtxVdobWh9i69l5h98y9a25RCQkxTVtcofgSCRz12yecwc JXrH92JkOHjIPQj+0zcAPb9097yJxGAVF3vS/U8Es3+ZJ/yp+QLrKGNGoW4Y lNyNLw59HA2VOy8NDdxvByvx6fMrxhgYPJ94VLSV6aVRj4Ey7CMYjnu5vAMM RL6+CrTTjAc5g8ipuhcVEOrdmzIhhQHHGbNS4WRmXlqn2RPOlgPrlFVPZm7C oNdni2VWB/IVl4SpaDqzB2/sFWgeEihY4yr3rmw21iSCwruprcdV36/x625c MjZfCMD132lWNaFPa7yiLUcpX5cANnVhd7K4UF4KwFKLWwdmAC/rI/NWFeUl /L5gWoP5DIjGk+IyvqO5k0fXZVna2DQ0KQv9yCSiudMi/0iYvfU0lGqVd4gX orkTPt/lrP63KTCz2F03O4B8VZp0J9/Ocgre+v4JM2tHvnLec+Rw9/QkyGrF c3IUorxkLvDltcONSTCtC+aEpygvNXzuSSaS8MDewjKd8ADlpZrsJnUlNzws WV31KzRB1ztxNH2xdhYHRY+3JF7SQ+svlf+m2zZPHLi4TD8XOkKHqG+LcgTm +zfv+zy7Nx+RZ8ofsh+6c4oM04JJt6UtEf+TfO5U+RMyZLAaWU79RD6p53c3 P8hCgbFQmdOOaYhf1jBm/2tDAQ29s0npCoivo9vXhbZQIO3F4TH+L8gzF/5j Dwpj5htDvqTt/LcRrxgR+WKVTIXJ+vstSusR79nMqnjwJxXa/ku54ZiNXud9 Zfdn7pY0ELWQWZQ+hfiloc1Szo000Gv8z2P/EPJM7GhmZaYEMxfV/8b99kT8 Wepkn0wYHb6zVHxy40d8tMnw7y0yHRr61dKPvELH/SlR99huPQb8eK1h462B eFp901IZM4+uG+3PJeCRfxajm39ifgzQrt6Wz51IAvX4tly3nwrwa2Nl3MJD Gqh25h7suEcC/ZLB/XvcroKjRfOgSzwFioP3HJmwYvpqOefRUqktzONksJgE ErivMnv0RRI86adUGHq4QsaorOqdCCLQuVjj9A8ye9wVUkVXwV1gNeHbn/qY +X6YFW2XtJUEAZR2u6fpPuDHpom/lj0FTgueq8d/M68zTvoGsZcPwCoi90La Czzo0wz5Dk1icOvklupo4yBo4Y6Ly0icAKFOxZ3b2zCoG/F5Cg3BUFheccE/ bwz2r+4LJ5Uy/RC5ObJLLQystgqbnWkcgvI+ARfeVAzSbxwc3fnhP1DuEd+g +bkPMm6bCjy6j8HoX/ITVe0o6Jnt8qu70w2KyY1Jz2wwsJ4VfiU/EwMb9ZaU SLWfwfZiud5PTQw+vLPgdiiJA9WhfjWVl/UwX83RVnIUg0NX7v/aMx8PPSNP 447zl8JSr3Z9uTAGB8Nv7Kw7wvRPkix9bNYVxntSXr1ehwHRpVT46E00XzqT 3fSdxjx+3zVWP/F4vlnjCdevkv7yEsFarKtPRf8D6i+zjbG/YglwypowQRdu XePC7xZy4vkJcO/Kf1sP2aC8NL90/DExbQbaBGiTh7ehvHSxe8ihY8cMFH0K 2jY+j+ZLS19V8rWfTEOQby5GaETzJbtKn6QKsWnYM2AbfvAFmi/ddLXs782c ghkzvahPvajH6bf+VlKRmAKdv5I8xypQXmKlO+klPJ2EjMV298YClJd4NAr6 gqQnYYZSIfs3HuWlB7sXTx8twcPMq4g7OfbounaOy7jvKoeHl05Ls6lGaN2U H+PZr/kWBx4HC2rhNFrHpXc9iI+P4mBDo9BYxgkGfIpdH/O5lgSDnMncvWPI PzvzYvdp7yaD/3dOFy1vxDlf5X3RDCNDPHnxszY/4llPImNOY2RY+bmJ2/w1 8o/leeoghyYFlA1fNsbrIP4GP7BXs5QCxIqPLjok9PykqdQota1U8HhZzHMl BHGH19VeqX5UkMO+7V63E3HZCW9PcTwV3KvF99yrRP5h87UJsVSjQfKuY1tP XUHcY9NIlmARDaSiGn49ZKDjFR0i1lXPRYdNW33aR2IQ/1I2EX7WiQ6thCo+ 4wOIFw3K6qj0Mntwo6um2Wfkn1y7J3tmjzFgWe7X3ec3EHd41xGwkskAuekO oczf6PzlkW9f6F5kAGN1lwXX/90vZewqe7ai0nRisX6VnQ7bFTtqtAKYucVO 1M3/tCEsV3SzfeGiQvrhoZFZWxJ8TLMgPjhnA6mbW5a3biPDo85Bd6I2M0c9 vvz27EVnkP5w6EISN7Pn1GD2n+WZPW5+uUbZwgP07aYOb95KALaEVbN0ERK8 Id8KAdt7QMDetvyWmIZ8bs62+nUkIMqRRD9a3oek1JEDkVKTkHPR7fsFDINz f/t7PN8HwlL79B6zMziQ57pptqUHg9ezBbdPyATDRsquj7iCcfC55pN1s4Lp E0WqbkdWKKhniAzovR0GUS9a1o4sZj6BnqKj0v+BCYve+bzOflCUv7JDMgQD R9fTTlefRYKe0HU75/c9kKHa/V3wNtOTbwYOWqjGAE5RPPxaVitMyWu3/7qM QcSrLL0I6zjA5TJ+F058gKft9aJHT2AgKbxdpTkrHqySt5/8/e0N1ErF7W8X Y+Y6mwkCZSoBWLby6eRJJILzBqpHAQcG5t9xpzAh5CUp682cai+IICS/8fny 35I1TnIy9tt/kAjjP8HSdL4O5f3XtmavSgkg8H2Lm7Dw5zWO1V+i7ThCgGIF bR1/Utcar3LBng5XzIBRljy7+340997652DxBeUZuLG/3EB5Ec2XFIzUb2XW TsN+868uZwfQfKl0Zm9MnOo0jMbF7Ct4juZLedy3IvnrpiBjXEnKzBB5ieVV hYuB6hSEnN5ySf0M8lJleHe9XNMkXM8+VDctg7x07FBN45LaJIhe2SX8RAR5 KdvjOpmnAw8L7z/tT19EeSkptfRGvx4erhALyrOH0DrQDe+LDe7FQbSNueyn ZrQu9zQ5HrhqiIO61PuNpu/oYHCQ0MdGJ8FFxzefkl4gz+je8D2SdoUMWoq7 7FjUEJ+7P5knXkmG5yIVi9545BlciMm+nUIUqBY44+IXiLiadqP80n0KGGkN 3Xwqgrjurz/6jTgKXHry+MJQJfKMrfQurzZ1Kijc8ZXo1kOcjdV3395SKiSn 7HJxJaHX460a+f3EFhpIXOXNuxaO+PKfB59Cmf0197FwP/9uxHflXHjRPEoD 32V9em8d8kzCYdGnvifpsNHBf2nnNcR97s/s2pRDB/Edb32iltHx5XwTUBrP yoB4ghCJIwXxPFuWi/oODFg6mqZ/8TDin1trHO2/MKCve/yAXAvyktqR3S9Z 2RlQdJeXwRPNzEvCfVvUtqqBwrCvNbaOBvY297I07zA9sxBHaMmzhHHW2kJe 5nGuH3EJ7zRlesmYcM5plz2ol4UNbdxMgsuHD7o1qJLAbaxEcOMnN+BflDip z0kE1qs7yr9Kk0CycqTMat4TSi6elt69ZwZWnovejeElgTH1sBZHty/wieN/ ftw5BQpj00dLmddZrOs971r/AJDzu21VcAQPrIlK+wXHMQi5q/00byEIUh8Y jQTlfYPV2I0Tok1MzzRqj52/GgJ6QXptwjmjMJ4x5uZUhEHnxNHmHnIYeEdt xx/pGQQ9uZOwLoHpq7AITk7zCJDNnmuea+iFdXnXuDd4M70Xm9or8z0K+F6P yGa7dkIP5Z38MUtmHjtoKccVEQty9h0k96+fgGwqNvjjPAbL70WbNX7HQYNd W/y+x+/hTJGu1/4DGCjFz5QHnmf656RVFzGiEA4FcBvkCmDw8QXRIO4B6mu3 N+onviATYT3nMN2PnoX6y8S9yRQHItz38T6+07EC9XJjM6P+WQI0nfHz1tv/ cY1ryYk1nXchgFpntU6TSPsa1yzKMOJYnIFHfNTATAO0T2D//bCEJd8ZUPkv v4HGgvqaT07gXv3f0zB/TXfEdw7Nl8pvHpv5EzANWPot68hSNF/aE9me/m11 CoqixBauGqG+JjtwZWei/xRIj91aOHwZ9bWcKWDdyzYFEh+UunYfRH1N04AH vxA0CaPq9jLZMqivzdxImObdOAkFQZeVrnEi/1h1hcQbx+Gh+6nu+8Jv6LpW Dw9P4+HDA9ui2v74AbSedk2pNW9JxoHx0px+9Ru0vk/K+OV+48OBKaVs4Vst A7RoV87mPCGBTvE54+Wf/+QfLeX8TBYy/NGyWPidirjQpqzOZjsyBEX9bu+V Q/xt7P7Oy21kIHA6d1zsRv5xDiCMJ+yjwAHhNzUbXP7pd72ipSwJzH732Y+U yoF4nUzMqOsCBcbduOtl89Hz5nrAutHSnApxIinxp/7Jf0bXN4XxfaSC2vEo /v8GkX/2axhYfNpDAxe9C8r9dxHfF7/1R34kDVw3huTOb/qn3z1eZ0+mMvvd aorcq2J0HMMFRClTWnTgD/UveaeF+Cz1tRzXWzoUFRPtYmeQf/CtQZ1HBRlQ 1b2twzb4n7l3oZHTsD8DyLNnD3zYgXigwAfLc9MMEA4dPmn0Dp3XGs+/1VGF dNjzs97FKfx/9/dvxY7f04QD9mb3I3KpcO5TBTXUmQRLEuHRL05aA1kjLtqv mgwBPbg+MSOmx7jIGkF/HMBwd3n0n2IMzu/Q8Bk5xexxXlrnNjS4Q6Uy5fvT IgJwftTs2C3BfDxp3/PGaS9wuPDzuUrzNFCfPwgncZKgReKGUk+NH+g5ZEX9 rJ2E4Mp+AQKDmSveaRw0XQ6AuI92iu2DOEga3LU3YojJtXHP5m49BFfqk107 qV9BNM2iOqCe6TEellCN7hCQDc04OD05AmYPa0WKnzH7Xd/jV1E24eC9cqk/ UXAQyot1ZoyimTnHf9rJuy8CxK3GzK3/fIF0QTEXiTsY6Nuq8lx2j4aAlK23 F5ba4f7Yf3l+V5meIR4ucF8XB7Myg5rfHZogACelZnQGg+28yfzxivGgdxbr ZGRVguKmqTIbGQz2KFVLPAtKANX6xz5G+Fyw1Xj0QmQzBkcyMgmRVchX53oP 5LzqI0J/lVF0t9AzlGdWti7i9Ymw8DTqbIlBNfKJ9cLV+BECLDuF5/Omon1N DtFe7erGBPhmNVhDSED7mso2fKKf/zoDQe3cpWwb0HzpSvmI/4TNDAQ7KGYv vkO+Cj6QJBQ4NQ2URcKwQjGaL134ptb8xH4ask6pHqu/heZLrzuPyF0nTEG4 v5mkUTny1c4YiUXazSlQjvQ2xr1EvtoRwdm+RJ2EHT/sMzaHI1/layW/5Lg9 CYUmWey3QpCv/jOnnrGcw8OGyM38l68jXzXncp69fA8PlvWfnMhK6HqPetWh rbWMg7ukOtqLo2j9HZN+2hhyHweiM7V7NvLRYTRCKfxbNwnqea23vG9Fnunm ln1JUiBDW7Qb9ZUN4ixfx7L/N19Nq6ld/vMX+WTp7rLdkV9keLonR87uCeKG 4TUnAi0pcGHL12tCpxCnkdVGvBopUFxi2LB7CHlm1bq+aUmGChnHR/tz3RDP 626spsdSYal18FsRJ+L5H8U27FugwuLAvUSXfPQ6xTucM2nGNPDp3Lfy4gzi /ZJB601qaNDssT35zFfkGd3zq6fzRemgafjYbMEPcbmJ3YElAXRwqPYSoggh rtPKmWgxTQetntgNyu/QcZ/6PDWbpMGAii/vCtn0EN9Ue+Hq+dcMiB7XVzXE kH/EZxhRk+kMuNs+bBCZxPRMYSJr8UE5OCAYZu6ZRwNPGafLjr5MLipbe0LS BPjeqku0vKKAnYve4xvXmRzHR04VtIUMqq6j6xsSnDp6vHdZnQRUfl+cjLgr qBoWBb4vIoJDhW8z4xCzDyofPLHvyl3YJnqe+q5qBljH7GcEt5FAmzLvEqHt A8n+UmMbPkyB7z2zuZEVDH73OvKEX30AdG25BsE2PBDWZ2i8nWL2oP2Nf8Pk gqDH2XL1evcEXDNvLH7UjoGvWKjgalowNDz8ImU0Mwb3B+uiw8swoL67sKK9 IwxMPNNOfFodglhlrvfxaRgzdxvx3kj/D1QzqFfwG/shaOfVAaUA5vWdAX0X 9kRBg2rHltDFbuhuYH95xhYDLnwL7+r7GGhobejYoNgCoazmr+5pYyC/+FL0 6OM4CKhqT8WbNMCu+ndZugoY7A21idT6Gg+zLSy+duyvofCW5eipHRhoPGiM 1djF9E9QiarG0ANQ/UYVP7ye6e945VwxfdTjfPRSfNYnEmGs9snzcO8yNM+Z EeqK2EaEhuRch19jaP9SPe5Fo0wqAU5cOBJclYb2L3V6tSooiBDgVb7cCX1Z NF+SFLT5eiNnBm6X378dMIZ6XLXpwd9kZp7d8aRbSuENmi+xKwcm4/OnoVTe rc0/DM2Xqh8Semky08DXNDvb7oDmSwop4o2Tz6ZA0C9ift8b1ONqGotCP+6d gkne7LGqNNTjSg0vUKteTELUkzz29jDU44yCHLvFDk2CQugXSRkP1OMulm8m Fb7DA9k9LeeaFrquvRLwXv8p4UG44/rkqCJaN+ZcKsEj73FwytdQKEcMrWOt /8qUuE/hoOL4vGGUEAMElC/O1FeQIMxC/+0IHvlH8UDZ848iZLjhRGQM3Eec 57vy8SOBZIjJM79uJ4T4ACv/4zOTZPiUHLZqXIH8Yx18mTtCjQInBNVjNl9B /Mm3UjXlIgr8qsYMLRj/7Adoyu9+w8wxNf3zrTORiBsXXLeW9mTmonlFpTt7 /vFYQvKFnWNMj21Yb+BXh/zzjMvaf4SZq77HKIk2mCHOYqbp//cpDR6r6Iim f0fHS2v2gUELGx20nwtf+JL0z3H8uUux1ZYOKtk+N3qO/pNHx77i5Tvo4Ff3 vuJmJ/LPpLr8xI3DDKjUs60+5oD4RJnOVEwKA94TLpVzsSLOJT15UmWFAXF3 KizNMv+Zh5//GBkozXw+cck4aiAJQoacWJNm9SGDV19v714qXBFhU7trx3x8 UMcpicIboLZj1m9JkQwW63gMonRJoCLkyk7KcoK2k6Vh4/sxMLG/nm1zjNnj RpVVUrk8wPaA0NyBowTY0D06vEOUBAHkmChp4XvAcj22MffcNLyJp9VYrycB /tctiQPc90Hc/FY+h9okHLOsPNRJYvpnNmSbW1Ig+PxpN1W5hgOftFly7BcM nBXffP3BEgyilUq5Vdg4dB3nzWOrwkDRes8HzbuhoLqa/qZ/dhi+T0yRs55g gF9a/ub1NxzMO3Y8Orl5gPl+afD1cygGCTwJ2dd8I0G1AXe093cPHLvNz1vm iEHJ0+Bome0xkF1K3uG/rQ1YGfN7fQ2Y/qTRrfV1mD1uVs+dYt0I3d1Oc70n MRC79KeL/l88ZId4SB7ofQsu1dkX9HZjUG6mctWrJwECYl/nwngy9AmcIUgy +8n7bU5NA+zIS9e2TEZffUOEZyKarrNsL1Gun91mXa5AhGoMi/zCjuZLojm6 MeOVBBAfNRecTkX7lx4HiQfUKRFAauhxyic3NF+iRG8lGNbPwA/VT9GNsygv hYU/VL6pNgN9bOtvJL1F8yW1txHGRz5Nw+WtxZdH0tB8ad3rRx3N6tPQ/UAo 8bw9mi95HN17T6J5ClpX3CMbFJCXHAtta4cvTsEW7Sjhzj3IS7aMAjOTjkm4 rMlxmcaBvHT/VmBdotYkODOOC35eQXnJjvP+o4d9eFi+33/VZAjlpaz07+Y0 EzzUnd9aOFmBrvclc3YS/ygO9Mo4H0o/R+uyYajIv8UcB468JsqXkuiQO7J3 /x8iCZbrXZwzXiPP2FEySzfrkuFoyW/sv0uILzb5cG0oI0N+/67YRCLyjBDp m+JufgoElVZf9w5D/GKUjJ23NwUMNrkf2b0bceUfw05vRilgmduwn1CHPLPr 71DVibNU8Ev/MHHNGPH5HxJbK5ivozDHM2SSgV6PzmLhJ0VuGmg9m+27HoN4 erRf7Tp35vfz7BxPkUG8iF75X2k/DWaLcJtJTcgzl9P9ZIMV6KDxV9RN8Cbi bJ8kOxLT6ZDc79HJ/hcdX/+KY2phK3TYOXnjCn8m4tMXklibbzCgXJ89pe8Y 4qc+q3T/bmPAtV7Ttswu5B/X8EuqKxIM6AvtyYiKIYHYs4oz1iVnwHb60sHb EjTIrjvXSPEggf71Sa8JYwsIuAqLtsz3H5+mjPnL5syfo3oldfNDO1isfWVG PkwC4RvXL988S4JKYRWVMVc3eOuU55u+lwh+7I+oPrLMHvdkp0LNE09o4nYn qpyZgT+E5bnNfMzfSzUyoAf6woG09wsOKlNw1rpVSn8Jg4gBpd9zBgFQAz9H 9ujhIfn5A5vHXzGos13FsjqCIG9S8qIG7huoiSU5P/6EQfTGq9ps8iFgp+vw fB4/CnJ3Xbx4mD3yCZfDcb0PYeBKT6l/xzME+9LkIoMTMXBTeXNa51gEyDrW bgtn7QPsimXn83sYOO6nsR9qjwKWdUO1t+Y6wWHbT80v1zC4tWtTXL9VLOAm k/3jrjQD57ZPCt4XmY//5Ti0BYsDK7bo+6+e1IBzyR/NjoNMHza2XyySY/pH SOSphlsR4LaKOssIYjCee6F5hyPqazc0f7fumidCwe2iLYsXH6/xR7Fat166 E+EGXXhHmnP5Gt8yKnLq2jIB5Kv0NvO8Q/uXbMQ3/nD3IsDRMvaFmHS0f+mv ozvp+e8ZaLNOzP+wHc2XLDLe9Ls/nIGJ/UoaKs3ofhz9wFCV6/oZMD2RgfW9 RvOl5o9eA/HMfsVroHhO4i6aL3kYHR/ZyjENUsE2MnsVUV9b/r2d+2nIFBj8 zrn66Ajqa7xf6bol3FNQ1PMmM38z6mvLVdN+OyInoXPhTHUhB/LP4Uxj3IvN k8zcflshjILykuyNHOWuFDz021qSbD+g6/pyRGeClBAe3PRfi/a9Q+upqcJT LDsTB7vUnrzckYzW99DJ6gVtYRxwWEc5dWUw4FVSV2LpCxJQ2NrZSTTkHwfl HwWlm8ggZ5E7h0Uizh/oxLriQYZwoQMpmZKIq7XueqsxSAajHp8Z3Y/IP7dY RT1ijlNAPsVfivs64t7Dtj67sigg8eGomO9v9Px0PEWuJLBQQWvPAzWONMTl EssUztpTwWED0cZYDvGiX18I27qpMJv1uSyoDfkH22vq1M18XJkLHGizQ1xw 6fDJvhQahDy1v9a8DvH2T6qWI8s06O4zOdWQjY6je2hm3OBVOsgKrGz8CIhz TF/kFGugQ+K7y3E+I8g/1znNjDSZnlGKUzmn44V4y0v9wjcRDOilXJib4UX8 U8aXDtVZBgysfO4weY7Oq4ml9Z6wW3SoVNsvezCE2b/e8kl9MNIDwnsj4shN KnQwLITu3yYxz3vRtK3bdUg+qhpS5U0Gup2nwKA+0z9bXhYc03EE3kNvuJyY OUOn8cqmJ0ok6C1sUtW9eQdi3gbesXMmwEaNxN5dYiQQIY+nL973BkVDtfLZ 4GnoySzPfbaB+fiYmwdXb/jDyamgNJbASTCPvJAzQsWA1EvMuXkhEMKt0lvY HjOvp0oOruh+Zv750PrB4+1DUNN3tLrt8BXuYsdena3BYKI8/ukliVBQaHzs Om4/AoWve4Ke5WKwanPpImtZOLjavFG4lTAAZPXL1psjMBhSO8XhKBMJcnzf Pqf5fQG7hlQVsgvz/ThkUqumKRo25j04V7mhHVRvqhB9jTDAOcQGT8rEgV6U wDVX248gO9yavlUFA9Hi1lmwigc+m0M/oyvLoW/qg5+pJAZkjZXTMc8TgCVs UdNTNwsyDlFaxHgw8LwaMlA6gXz1xS0sJfgjEZTJPasTvM/XuP3So30d54hg 1HySWH+gZo1rBu5eVGwlAE/evMW9VLR/iXVjx7P16gTgEj2xzygI7V/SaXN0 0O6aAdVQLOuGL8pLzk8OWeQazkBxRUag2jGUl2xcNytd7Z+GrGANQY49KC89 veikIX91GqotDtgEYWi+xB/w0vDs4BTsO000jvyOfKX2uMlkymgK9joGVQ5i yFcfakwSC8aZfS2n0nP1M/KVwCh3eafZJHBI3t60/QPy1Y+j7yiuk3hgZ59/ 15+B8tLrrAe6YvZ4SGClRdh6o+tddYP948MkHBC0bZRITmj9/VqVFi9wwkHz Ty65vfrMfnL09QhtjATmt7D6F7XIMxm/J0tWzpBhNbOcnGGM+C+9FwM9z8iQ rU7/2LKAPBP+iqK7dwMFBMgvNVwTEdfhmu/xu00B7diCFtFDiG+di3n6qIsC IYVcS+vbkWdiSjVB6BgVeEjapoE2iLdNuRN7M6jQ8066rHnln9djNn1T7i8V sk+/k7dPR3y8+O7LH8zvr6PuoeYoIF7/X+aF4BYajG1e0Rf8gjzT43Ja/pEs Hdr2mtuyuSEuov9UOieaDgEXl9yXuRG/2fDktvssHY6N/Dwo8xwddxuOmnsv jRigmPBVjHr2n33gjWeTxOsY4DlkxH5vDPmnRTHTlmHJAMnnhsuR8SRIv7fu 3PFPJ6BlBWtyvUEDrjvDnAe8SVACIek8dabQskEtcvsdCsylLTWbXmP6h0/+ jKHWLbg08PfGSzcSFLV1bHl1ngTayeaxgS2usGxVsLrPgQh3LMOvvttPgr3O zxTv/LoL1MQxex//Gfhr9ZrCL8DMV5Q86xqiD1hFuhIrH0yBpVMCd/JPDEKe VLCYsQRAf/PWTtFoZi4f3DRUgMPgkIaVR+L9IGgo/CAxaDwBvadfRKe2MK/L JJcjgYRgiCNl3sq7MQZDUilBl15hoG41LKzrHAY2Zal+tSFDMO6wc09kMjNf FbPlDxP/AyW2K+VvQ/rgXZXZ5Tk/DN7cSHY86RUFuOwvxKX5Lsi4/cCP8wYG VX8ddO15Y8FkcP+z9vOfQT2Kb977EtO7Xpt+5XyIg+xT/CZVhXXQXH71+6Yj GByRTLX/vSEBVAeitTaplICayum8I0IY8MezvTh6nukfccGvHgaq4PXxrIoC CzMf6kjGq3mjHscxO+c6HESEw4Pmk3F33qL5zEQa210OIqwr/Kn8sAXtX0pg GTXvDCPAIb/HpyTT0f4l2/mdmxlcBFBmm2RwZqP50odh7qu3E2Zgt5uZ6YQe ykv954JGXwrMwEnqMY7goygvzTxYeVeVMg03PvZt0FtF86XtNF6jwO3TcJAw LhZLQfOlRxoZhMZHU1B5apu01TzqcYRuLUqlyBQ0Mp4rl/ajHmcY9uitw+NJ KNZYmKj6jHrcx82TQzO7JiHxctaBoVcoL1VGDSe8z8fDV6rv+alQdF3bxBiH GMvi4fzmiL9G/+wH5LMe/VJTjIOXEz+vfzNF65v/umLygX04sNAC65emDFgv 6vRiUIYMKf4H6I1uyD8b7HkcbaPJkCQXfVCeB3FbZfagE3QyKFgkbbd6gTxj uiEsN+QyBVQT+X8IqCPePP2L17ScAv1vsyJgCj0PZwH5SwMiVDgQaqvbdB9x //f8MVwPqbDzWyh37DbE9feb5e8hUkHdWWXhbhnyzHXKreipSzRQKjnCU66D OLnetmF/KQ1KR46OOJHQcekSqVev4KNDx/1RvclwxC84Zo+9v0MHw4M/a79K Ia7Ye6dafZgONp+lJvQ+/JOLwrnt/JSZuWhLzJGdFv/054pLuxzyGJCH1/E9 /B2dJ+/Es28GBhnQTDN/FZFCAnXrlI0PTUQg7qDUou8MDfBj69KK75NA5Vfb hG3EFTCy1q7yplLgm1qRi+NNpn9e0xO+frMB+vpsD3nmz+1Iy0k4q0UCQTH5 GxkMZwi++JJNi5mvrfhc5PcdZT6e+90p/CsPUMkrcZ77PgNsVyQmhIRJQCSr 3jd5cw86XEa7DFmnISVEcmgnCwmotg7bTcvuw4YBzTe8HJPAe2RfTQMBg028 kpF+k4Hgnv6H6rUHB1SfkfaELgwWijJ++mgHw+xO9mmOW+MgHUZIbX6HQSz3 u29aLaGgdTJ9qcNrGM7y/tBPZb6Pfgov8KRp/QeGCsHfN0X1g06g0dWAhxic 78dOGHRHgonrVCaXbw+wbov6es8eA+NG6a4E+xiQq72yeEa6FZq8Cxx99DDY 7qYDjR5xwHclJsTW4gN4fd6iHn8cAxlM7mXmm3hQLajWbaOUAU/8A74LuzAI cArwsPrBzEVyX+e39MYA18/k9fs2MP3Zb/jm137kH2qpcvChp0TIfzbpGuBf inICJSUlW4oIO7lT5Ka+1aOe1eAvG1RIAEm+zx06aWifksIfD9N7ewlwJmGV 7Zg1+vvc8Ms11ualM/Dyd47fbls0385xG94hqzADC5ft1abl0Xxbapndi7N8 Gv485Y15wYf8YylSp2uqNA3UHLbGjWQ0R+qfzstkLZ8Cl5rVuu93kH8evdso 0aU0Bd8PJvt8tET+4ZT4sYezZhI8v1/ZP34R+YeyuNR89TSzx1Wz7fRSQv4Z nrgAyU14YCyX/xnbgq7riOTbDu/V8UALP/XJ8gdaB0VvchSX2nDQuO1V541p tC5DSg+NkTRxILjnmfrtQToojpmUSZiTwbZOleh5GnmGrnQJTtWRodhK19Ry DPmkUKJ3p/Au5vuy52ffAF/Ez/Ja/L0TQgHTSOV0qa3//H3uHwmlLwQKKGV4 WreUIZ+UaNsomOlSgap57KbKJcSFePpUH5dTISi62WR1Ej3v3CgnqdPbabDM c8DDPAhxI+eHndwPaKC2f1tHtAjiSQb9HeM4Gmy48KmjphL5pLfp/c47qnRo 6f/qK30VcfrxfLfQAjoUWy/ICMyj4/iopF00YyMD2Cmdfn/i/sk/oY6R31yZ +UfgIO97WcT1O05yDQ0xQL3TMrbxn14tMvpDmJNIhyAbrTPRkUz/RNPx0j4X gKWj+NFNPBUUuF75vGDmGrEQuFI2dw2Uik9alP8kw3rG2V0aV0kQ4uLFaKuy h6z8awYydAzCf/+I2wEkkMwUoykIu4OzT84yJ4kAocU5D1SlmD2r59ER9vNe kP5w48317DOw4qi6zLOJBBHUjefFRf1gOX8Dy84/kyB9hUWVd+F/3qj+Hl4Q ALmVXwn7BPDg7Dc3FzOKgW5whkWRyEOIEw2/XWP3DSpY/HWzGjEQ9D9rH/Yg BJTfKVJUrUYhvOmiY1chBstvfxte3hoO3vtSWEsSB8Hz87kF/zimT3qsBz4G RYB4v5SX2YNeEJm30rjuiYHYwrknu8WiQdx6PHGY0QHHP7jvSDNn/vzTr3rg TSy4MtYZXbn5Cdqf3PPyUmO+bv+Ot4G88SDeyfHsWXI1CObn5Ebsw+CU1V+p q6YJ0GCW/zMkLx/8Kb+O7+THoOBtOJ4tEfUvj0+F5kpTRJjtZSUEXcpBufVw gUXQdSJ4bxgyyLGvRPm3/7GbBvO4erQV4JNy0H4kBVXFeKFbBDDCXIp+pqP9 SKnE5o821BkwqVezuBeL5kW/rpnp+XjMwCPCVqXMU+j+/oZtB9LkF6bhv1DW tj1H0P39fI6FRft709A4mfpgkYLmRb3118wLl6bg8KPRughP1L9MShIPP7w7 BT+rD0a3uaL+dYwc9/bpyiSkvK5dzbiE+lcWVf58h88kEDPjklIuov71eF8n 5sYyCVex48rHZVD/Sj7hQMCF46EPpxpN/mf/7+nQc9kLHHjIfjR8Qvef+0Xe vAJOD2NwEFeotmzyz99tZAioXHbZiIPXd0fuMb4x4M7HH06ZGSSQGczZv7KC /FMU1zlj8ocEsxs73qhmIC4i5xBQdZMMAfaHhXHy/3yewAfnPoPPZNAc3td8 vhf5hyEm/MNAhgIv7gXknndH/LNexOmfMRToU99sns2FuMhWiq/sLAUCQkp2 uj1Hz5vFZ3BF8ioV0sU+ZnioIq6qLMrgbaCCqYV/UcQI8s9K3OWRIHEaZG1U b9h2D/HZCm3C43AaFOE13/zh+2e+3fP6BZ1Eg9kWIq3o1T95qfz9mQINZl6a /Go8r4v4PpeoX2yv6eC2b9OTJAz5Z1211gvqFgakTWjRi8P+2b9dkJKV48MA ufl1v3/sQvzwnPJ6NTwDbheaJ1+pROd1cIUg3lXJ7M3SzwJP/8fsTQmV4gsH LsH9JNG88tfMHnqya7eGCzP/pNRXrFCtoE43T5fWRgYbh9/n5o2YP0fjnvuV 5w4g+c2zZHctBkFzIYKFysxedpu+/m2yOzRlhQyWVREgAl8VMSlBglj7ugOK dV6wHESQThichgXqXGA1Fwk+hkm8Z0v0AyGtm63HOyeh65y33PNZDJYOSugN TQeAofn4l5oZHChlTbtqDGOgNDvzrcfwIaz0Hoj5j+cbXAiROa3XgAE957HK f9UhIFsxLiq9bhRaKiobnPIxeHKoVOPwZaavJuVWLBUHoYhdp1k2hvlz2mPC fOsiQOityNnEnb1ALFL1nb2DwfNv25XLLaLBpP+nAqt8B/BWjfcpm2Lwc1Pp tZeMWMB1bQjbVtwEyZN+JdJnMXgkzWkmdSAecFXbzoULVUGc8W1VGVkMXr8h jZG9mX1tV5NubfdTEOoBm5HNGEwUTxWxliJfXduXfKN6iAjDB5ddNXfkrfEH tR62BUZE0N9hPWL/FX3OUsjIrYWCrwS4j3u5vGCM9iN9cp7cKmJGALYyfzyX MdqP1CY4tpkNPwNjGYaLxRjyFa8fWzPdbgZUh8YLxJORryLN3vFpEqdhw+Uu jYAY5Cv6R5+ZaqdpEJUPsY+5iOZFQnh+GQfyFORGew+F5yNf9XH9Si+1nwJW AcV6iSfIV+6131O55pj9S2twRsAb+UqL5L1/0HkSOqRerPf1RL6iSfukCH/H Qzh1295SA+Sr9j3FdRb+eEig+9py70XXOy7tpo/ACg4M4wQfj+/55+8t5M7e rg3CweyTItyDvzRYZz36ZrSDBGlK9TN1Hcgz47pV1LwjZKjTwBUv3kKclaXQ ICaZDKlpc+e51yOeUHDKRZ6ZyzbOW+yzzUWeGZRhGJw1o0CTW9F5Y5V/8pJ9 ma1rPQUU5YhH944iz5jqiNqWSFJBVdNfnuKBeHpb8qt3UczX0c1KnuL553OW Mg85y85SgXPFYb/bP/cRZwWchF8YMv0TciCArvbPfTfN9/NaVczv1/mWr4VD nnnlUxJQJEwHyi6KEOMB4p5BH4bc/OkguX34g4zoP/snNafNTfB04Nd5p3ym Eh339ZUvu3QuMCAFT2m7ZPDPHPt9WARvCQN6v27ZHElB/qmMCzaaeM4Arv6q fZqPSLBkN2uTELsfLjx2bqx4S4M4Q/0byn7Mvtbfw/7J3xisJjjVF+so8Gna tkfqBjNHXVHfSv58E1znbxzCfySBeMfls+0aTP/YhJAkqC7At+V27kQ1EQqi K63rDjP7mlz3z6H9d0H8/kRHU8sMBP0cejq4jQTyt0MX/kj7gGQ1v4nplykI qukkF/1h+uf4gdiaww/g7eEfKwYjeJCLBVuvaaY38tIl2HcGgWH2+WMXaBPA Khm+aNiBgWljpM7X0GBQd7B81Mg+DoWN4Xwmb5i5SHPybfSGMNArGJHl2DkM K67s1gbpGMh7OhSyh/0H6kG9/sV7++Gup0k5VyAGfGQSVYM3Csw9pOgeIj0g aiRTtfkWBteuZqvcKIiB7A35yYLuLSCIK/l2QgcDRwEjqeT4OLCzWuljTW8A hQ88nOLHMCjMGurD9cZDgOrhWZYHr2FdGeHW6g4Mhn7NqcduZfqndnkRnj2E BZuUEdp6Zt/MCbJNVkd9LbmQ5TRvChG+ebk+bv6JPk+pN99bVU+ECA96eRSH s9F+pHYTcXOVDAKUVhoNZl1F+5GkryrcZ99FgMu6wZo2XGhepCLps7r72Qy8 Dfv8SrYO9bU74ibnfsnMwBC350GrRNTXeG7nxrwomob2WJNTrfaor92wF53f eGAawt4fk3p8Cc2LMovWVZGfT4FsVMEzi6eor7lD0MHQg1NQmGxxbiUC9TWO 8KPVna8mYf13Pt1uL9TXVnbpatOPTIKxwTeJUzdRXysOyFSxqcKDXX92Zd1p dF37CwQvPlLGg8ZvobHf0v+ss8XB0ux6HIhJvPj05Z/PRRNNvIw/CzgIn/+2 hY3ZQ07yk/hq3pLAKqw0/Os08sw513Ok+9vJYLzXqFQkCHFeIU7ynvtkiAqM e3V3B+JuCldyzk2QYe9NteUr1cg/k3uCpTTPUKDyrqCHjgnigha7ehUKKBCs 7PvZZv6f/eWv17vd5qKCFfZI9lDsP/fdchWNaO5U0Plx/VyxNOKY47OSHcNU KDuwSPb/gPzjqX/tZ/JJGkhePJnNeg3xpsBgx8VsGgxsFzz4bBkdr2IpueSO dXSg37Ff35mCeG5GXVTUDTosr4zybPpnv9dVi8oXh1rpcEYZT3PoQf5hPfGn ZucBBqRaZYz7Ov3zd7ivY7eaJDFgHcYZcoYd8ar1lhMqPxmAf3Sq2jQbnVfe jqK5RkU62NX6ztcEkaAzZpum2CV9oJ8Q8LyixHy9sSL3jtszvbS03vaO6Q0Q 2s0Gty6S4exj6Y+WeiSIM/p7sOaSE6T/cC1kUcYgCZ6ckldk9rjOb6vn8XfA Oabsy6kzzH5HU08ZFyWBo4MEX/q8N0Rl+cGSwTRU918rP8pGAvw1mWdWeH+Y Pn1o6rzBJDwgmWnGkTEQsbc8QQ8IBNVkWDrsjIOd1uVHdXsxUB+p3DZEe8j0 wact0pxfYXnPsHR/FTMXLdXdi7QKBaXDY7nbNo/A9a0TcVbZTJ/ob7onQg0H q7J1texyA8CnYlCXFoZBnqly9XXbSFDeKi7EJvoFglgURAKcMFgval4bxRoD rrTumUj9NkjoOH/1lCEGiptSHMrV4iA7JfAlz9NGmPnSZPb0FPP3Xnfd/vBB PKj+yU1r0nwHLWx7+/klMDg35MRf25wAAdqs2puqUiEknZI1xYmBvcybcK2V fz6X0l5Tz6aCCI4xVANHjuI1vrfMs89XiQjCVrUS0bHo85RkhZtkFmoIkKIV dKvVBO1H+n4jsjVWmQBmsudqSMfQfqT1mfs4BD7OgC4/b69DH7q/dkanJNhD fQbC3Z47NCSh+2taUy90f7dMg41rYqOkH7q/9jy5nYLXmgYdL4vPWzXQHGn8 PJfrvrYpmOCJU1mQRF6SkFKxeaw5BUP9GoGbBZGXaiWS9jr2TEJr9p30uR8o L+1hs1G+rjcJyTVqAmM0lJc6+rgpKkN48MGNuVa0oLz0dEfqyE9zPMx7tGWv L0TXu/rFLMHRr8x8fdVKzvif+04x+P/H1JWGU/V+7SaiTMlUmRIVSaLMWdIk hCZTJSREZCZkDpmnIkmUyhxNpAyZJULmyOEc7DNTSKHe/fvw/p/z9b7OxTl7 r3Xv+17PWmuf3LnKhgBH247+/hjOgNYX7aa/SWToJnfo5rxGPOO9b9/MJwMK yDg5FXSeQvjC9PHqxVIK5JWfGcmhIJ55vVXq0A5eKkwF+V70iUF42x7LMHVv KnS7gLC1NMJfeh9fKhqgArbjbDb9I+IZf+qBC7PaNJAstdPOZ6m/Yz8WOIKe 4fn47HHStp/o96h3Vuw9yEEHm/ZxZ7tkhDv1+avXutJBsVHcelgO4a6CP/ye 4r52T8RzybkWxDPlX+Sdo/czgNx2XWGTI8L1HRulzNIZYLK/z0d3DcIr1Pl4 wn4zgHj5TqxwDrru61StCMHWTLhnq/luizrC55uCVzW1MOHp1y33e7sR/3Ac GOP8vZ8JDonlnoaJOA9QCoZuBOhAkJNSarESHaqou3vfe5OhdEtsnVP5ReiK WLU19RgVBtVf7RK4hOui13H11gcd4VNDg9gFHTL8XQ78qHqEDCOVt3saj7tD hNzVrBr1aaj61h11Uhb/fGrt3DUfH+hy4Wo9ZTIJQWwOZV18+Pe5Tum3uRAA H/ry3WqMiKCfpymx4xcGbNEZWlwQAiHb64RsL48D4cCOUKvvGFwc698o+i4M 5AW4guT/fgdsyuKtZTOe10VWkUSJ2zB38JfI5TXfwNJG/c+3Ygw4cthmEouj wFFisPSX3ADc69iz/3gaBkv3WwZmtseA/Jkn2md3fIVvpZdKA/wxCLqZLrH/ bRws5p+Pbt/fCRVFW80fWWPw/h6pVt0wEeokAk88Sm6G+z+F7dT0cB7bIkjw /p4EOmcYc7PbqyGi7NzbLAUMXg1rJ2nvTIGc9b7x/nZFoH45b4ksiIGTuE+w jS3inzGa8dXB+WlYzNr85IXXfRSn029kK32m4Xg+hWuAifYpBT7wL5FengLi XNUw+SbqR7qREZh0J2AK3knvOeZlifqRzI1GlQL+TYLLhunKr7+RXvIpaptX jJoExZWQ+Kl8dL72/MfqNSHrJ0Home7Mv2R0vtb5I6PjQhwJpF6IvXYxQ/Ul MS2XxX0bSUD4F/mRbyfya9a8v1cX3SHCtY21XK3bkV9rtGhecOMlgpu5Oxt5 FeIfY3qX/r7ECTh2snRtyS+kl76qa1j5b56A7RRfpQcjSC/F7d2XcufBOJi2 Xl3V/BLFtdlGN14l0XHIDXUQnHuK8kb4Ma+hQy4B1lDnLQ2jWOYwjlpk3RYj wMi2m3LH45gw4ORWW5xPhgYF2WHaDOIfn5DoaecNFNixZdPLvYkIF8hTf8Nw p0DU/GVS4S6EE/7YVBl8pcC7bNWxU82If8i5RgnGB6hQ/kt/o/5VhDNMe9cL P6BCsW5Tcthflv4iW9+FkytUmFGRemKcxbI3ICFSltOeBl4bN7slKSM8rZdg JPiZBuxNlfoRHYh/3rmbk+P20mF81+EyrusIHxa9JtuaRoe6QEW37nUs83FL Mzmj83S4kZ2/+P4Juo6Vsoem75syYOLGxZf/dBF+2F7q65ZqBlgo+zYHj7Ds v/0tfYBNggkiOV5X0/xZ8OLUocAoHKez1YnyI9zL/5T7YToTdkoY7jYvRvfV g6R3p9WXAT3ufBort3E+GfT4lmFtDGrTwtzs3jSQu+p1Suc6GRKbx3kqd9jC dbVzJ+TuUODrmuTw/LP4/TTW6uL44wzfKZ57kgMxiMtIyXdRJ0NIlv3qFU1P uCckes731hREO6xOHpMgA5uTm7ijuR80Ju1XPnqXBAOE3Vk+63Gd9lO6TEnj FvxtPNmvnTQBz4Qo1Vl0DKIN6honlELB8De33UIBAQqDO04b9mFQY/flz9nc cOhS+/1lIGYUHvX+289fjesow70XY7gj4cDPb5fFo4dAYKp9t8MTDMLrrMbz sqPBTf/+RaVXfTCSa6I7HoMBLWVS8gZ/LMjbiZW0Z3XDm/NV+pVuGJxfeRe4 vSweZgh23C267dClmyykZYaBcIxq/HFxnJeUj2YmP28A7WFJtkltDDIbtdR7 zydDzreLrjuVKkBeQX+DmAwGfk17fn19hOulx1JL24VywPjN3dDvXBhIO7Xf 39WP+IrRNmOR2DINa6w8Ji5syv8f3lsxn5V8YhreHuINCniL9imZ/r4bf6pj ClKFRMqszFE/0iWyCrPXYAr2uRCM/I+jfiSHobDYjT2TkGy2n7jRCumlXVct npabT4Kj9JE7boJIL11/pKi4Y5AE5QTFyDNsSC8Z7n3iaHSJBPvPu2ecbkX1 pZupCQb6w0Q4emrdxppJxFdLwln/nloSgfoTJLcMI74SmTlq854wAcUL0nVr KhFfVfowlLMuT8C+Wd+Ne14ivXRxRfew/NQ4hNv//qycgPTSWwmpz3tcxqF5 /5PwKEcU72kzq1sXaARonqua3MLiY9o4mlu/uxMg8/UvWs5hBlzlOMtGGSTD weTjaS/qEM/kgxejQpsCsxYyReOWCF/29I1ueEyBbBmpTf0LiGekxhVM96yl gk+l0xHXewjvKpCmHsL1RzvTq/TCfoTH3lhWTGinAq/cQ8eNnYhnKFn5hC/7 aVC2PFPZ5oDwj9+Pj9y/T4OhqjPV//6h3zN58GeHwjIN3lx51u70EOElc56y b2zoQM+TcSOpIjyirP/gzSY6CJLrr0j2ssy1PaV735dhgNNc0Y5VXgi3nte9 ZYfrP408U9GDvAjP0fU/6EJnwB9TCTv5YnTdI37dNnM4ywShx5t1lY6zvEeg LryJXMWED4OCvS9Y5qitJ/Yr0lyYUFl+8ItBCu7L2KY8zl1WBUJYl9xLTzrI 5FRvW/Yjw4Zfe4npwpYgosRWfiSMCka83Mui1mTIi3ByfvrXHkS/bd4pjvu9 RLvp0NDjZAg4mLfDOdsNWsUcJYz9p6H8QNNcuDwZBmxO/JLs9oaFeW/9O3GT EBIsUfh1MxkeOatN7vvoD7SWS3ZcSUSwL1vH5vAHgw15ChGU/mDIzP/GeSFr HDhsy386jWPw6aNaOp9zGOgN51u88x4Dbzb3PrM2DEZUvJ2sv0aAaJfcAF/E N1jNb8O2tQyD8nnPngSLKLAmDjr/ezIAJx+JtBmmYyDIsUUnoPcO6FA0vgc/ +wr5/BeUGm5h0FCuE3nINg4G9UxeWip/Acqq3OiBKxhw++kGd/5OAMXNm24M h7bAwLUr29UNcJ6892YNe2USJN3x7FySq8X1Ytnl7/sxKNHa+DJxORlCGikq 2vtfwMPopv1zIri/4zpg56eJ849a+x39JVuQ1acv/FiFgdplp/PvXVF9SVrv gjIxchr4k/b2ds6hfUq7c3/7aGychlziFQ6beNSP9NDPaIEYOwWvGXXxnJao H6nua7R5Hc8UDBQfXCMahvTS8PR2f9l7k+Chm5cdpYz0UgJniVS18CQwzEd4 yviRXmKUipWGPyCBq8R73wcEVF+q7TnqnbWNBMWj289ZtaP60srFW6Of7hOh 00B5KGUC+bgsQ+mUAHEiRPs65P1oQj6uqCo0LOjRBEg/uixbU4H0kmNx4/nX UhNQJV4kR81BemmbmT3mUzgOV4zCL+r6obh24v2z2k5+HLy1dRZ97VHeXDHw /BteRoCkSBM+XkOU3+POfdp2CgRQWi8vLqPPBD7rv5RkaQrEqj8oXe+N+Icj blDcIoYCKdwf/XV4WerernrRmlQK3N9zepNVKeKZkafvPhw3okLNz7GRMwYI P3TFMevMKypYqexfOT7F0vf4L5EaJ0yDrvucpVxhCPd6OxXWHUyDncSXQq1b EK7F5sQjRaKBVdq+WN83iGeUle05c0/QwcFeOWnxNMLLph69kCyhA/Xlb/J/ fT3/jyuY3Ih9z82A6yfleL7HIjyOV0cp2I0BvDEWDltlEe52zijiv/e4yB0z EDRtZNE/fn3HVNRx/bO98ewVa5Y9AG9jjZVzmUCZ4Na3X0T3iQ8GAnsmmXBh 4VCkfgYZLibKtv6q44P8V1yW1bhOW+aYLgwMJkNmuefuH8RzkB/HM5a3RAWt qro8BXscl9lZrZBsB/Wcr1Xy2ChQpvxhjeApMjhcqo+98cAVzq1zlXFbmobs qaLORSVcX/0zXU6I9AI99pPGq9imIMIz6eHQFlz/OPWu/hx3EyyLWwzy+UmQ 3Xqvi7GKDNPtspkJ0UHw+S3/jKHQBJh96BgMn8agIHK55HdnKBxQdo++poTH k+6jzWe+YNBz6rGSpUYE+K1LOesVNQImnmXb7r3FfVmOSXrcq0jQcx6e5Lk3 CC90fyxaPMTgFOk9X5L6HTDf6iQ2VNwLusPnNc5EYGAmlXrWtCoWDBulwrUe dIFxUQn5hBPOYxp/V36dSwCOPxo1JrZtcNb0zwON0xicTlo4sdM5CVYt19RF ZX+E+DbHlzZquI9blTe/vyAZCOLkRturr+Dqt/XZHBI4j5Ff7H1GT4FVprVP +o8lw4fgwx8wdgxKSZm+7lKIfzg4nx1Xfz4NZ2rtmwJXXvwPDyr+xWn/31xO mHNLtiPqR/qj9uNjRvEUZIXRxA9YoH6khO9jT/T3ToEP8amshQzqR8qx7gnb +noS2DoodW16qL5tqbrWTlVtEl7U8BryCaD6tsKuXTe+viMBx6qFvws/kC5i XzXn6q1FAuf7JxcG2lAdSWvxdtqGKiLc/rzNY7cd4h99JUJrkhYRat+cnWAz QfxjfZ44K1o3AQz9ei+CKuKf5OSho7sPT8Bs1KZtsbKIf7QKe9NOt46Du2WN gOZaFNdJwjzTLYbjIFY5Wx08jfJg+aHGlepOAhRUswWk9aG8PFfVEb7dhACU 0WQ2YhMDdCUos6PmFDD3f/H8vQ7imZkLQj/2vqdA4aHw587fWfYgnROU3raN CqbHIryDghBeX5K45SD+vB6kcobYCSN8KCCpqY1IhY9inL1f3rDsG9H42Mdv SIOky4MNkacQzrP++UHbVzSIS/lxRXWKpf5lHxivKUAHLmUxLqvbCN/1NvRk WwAdPInCJl1iCLf05/7QPUoHHYm40Zb3iE+U/jhb+x5igOOjvepSFxF+4Nux 1pN5DLCvOdttPI+u4xfFZ1P32JjQ7vjz5Zo0Fv3jo3ItA9czQjuuKK6WZ5n3 bw/QzOllQnynmNXvRnSfym7HEdlwHSnkslfkVBwZlL8Sbh48cQxEz6QtPZul gbFqWlyABxnOaGEPDxlchuiBpbAJDirY2Fmc3WhJhlJi6RbR69fAq9hTMOMv Bi53+VczgAx6Wg6h4kx30Fa13aLwewoaw75v5d2J+7JG1R8vt/lC3uTjY/wC kxAYW/q2g5sM7tezWlPnAyCC+DPQjZsIezM81Md+YsBbs0X1SUoIOGbm7bgm NQ6V6+/ynPmG+6Zlr5Bd68NBxOjG40eR38GyVTf9UgMGsxJ6j+2v34bWBw2W JSHD8LJsE/NhAQY2+uncyf+iwO/CwCyzvB+IS9r3IRnXS3t8btjfiAHpqo2P dub0ALeBtdwBXwz2H2ZUSm+IBxHOC1Zaih0QYZq2y+ESBtfeRK56mp0I5vLT Ena5TXDh1udnqscwqM3yqp5clwyrtl3bhom8hz35i1wX9mBQ6efhSjfGecZg Lelt+nPoPxjeNMaPgbJiZab+HeS/mPYrv2anpmHQuaKUYJ3zP1wnik8y3n4a AuqeHxujoP1IXXeXiDz0KZBm5y/xsEf9SDqVhXL7nKegw/Lu8ndL1I/0o3U/ t8rMJPx0yLgR647O9/lvuLur+eE6p+JS4DFxdL5f9810XPcXCQ79zO823oTO 90tVBOjKt0jQpx0yA52oXuT/9G5Awx8iMPlWzD3skf+q++i1M/YmEXjb9XVW rJH/otk7XrBfRQQL9QD7MU3kvxYkJDcTgibA8ufy6ANV5L90Wl7Y66ybgJA3 RzUMRJD/Wl67qJkVNw6ndPXyTtJRXOuunxJdxTUOvY0JSm6TKJ/aF4vu66cQ wMv4wdM79Si/r4uN/n7GRYAwxWYVh048fyjdW3udKRD+oiWoaS/LHiQrrNm4 gwJhmuU9Jz8jPqERXtV376VCaeVkf4szwr+dfSHFcZcKtccoPsnrEL45QmFz Ou4LowSdI9dosJzvrz4/vn4Xzg8ZRyuTPVj6qK+e3jnFpOPPdz3PVwXo97xx GrDnrWDApEK9UswES/9zgaAWbygT8pjhl2JEWPanzQifN8hgAOfn4UsPo/C8 eyP4t6nZEIYPZZpbpdKAZJxb0eiC+5RSkyuW0TYgdDSwfWMhBbJUmq+cOo/r k8+W21+cdoYIu/nrQ1kYrD/GNbZBE9cP4YVh5mQPKB02Ebz7YAqi80a5bbaT ofVauozxRj8Y4eTaS31Dgkl77kQRTvzz1U/ePJgKhE65+cyhFgLM8liMf+rH IKhw+Dp/QDhgbJtflLWPws/iVNXyGgy2+tp1cJJug+L5i9qPG4eAYVTvRcnD IMk3SpDiGw3SXFm++0a74VTIiu05Dwz+0h1HqJHxwBf6lK9XthGcvncO3dbB IH1e6tOyTjJYW3s+Zf7Ihdf1lB8XeDAIjTWTEmxA+Vig8SZU1Hga0uQri360 oT0/fMVcYb5np6CAd19GfSfqn8maKT3YZT0JrSuJGa19KI8eLvI8j7hKgl1H l1bNRKF6xckqE3XLCSK4u2i772hG+WK/yeDUHlsi+K99z3z4gaW+aiq2MoFN QF7uypmNGShfVpe92qfuMIF//+T1Z9NQvkinWNEe08chSpZjadYN5Uvddoem o97joJDE692mh+JCo0l5++05AsTrOuoEsOyncRBdt9XInwBH5LrtkyQZUN9y z0VBjQKD3WvknW1QXlw4+sZ23woFdM6TVJyyUJz3YHck6myo0FrG6z+kinDf 6wMGwU1UkNpbf2prL4r/x962O2APDRZ3qPpYurL0Cfcymnbh8UlrLPzqzo7w 92S+7D0LNBh7Eb3k8oRlrjzCbbviBToYCsr6XdNGOO9fPYErtXSIfWByW2UY 5RGT12gpV4IBRXcMsn/dRDhVM0yOGs6AF5eEb5QKIrxhYMvmb4ZMGPgYHFlj iK5jjPqFhslYJhDqfwW2p5JBQuxFT0KqEnyIjlp+kEOFDX/U7XNtyDB+faj2 xBV7cE0nW6dnToP8uPae7QpkkD4Z6xcY5A0bDqtZvSojgpcK+RfHf3tvXEru nA0PBr1Dvi3B5WPwIW3Zrv8T7qMDQ0bESyLA/JiFfjhhAKQ4eAW7MjCQrj3s VVeC+/q37ApC2FdIaLSYsw/Gn5un7r47ohYHXRmnTki9/gLhe0g5nlcxeOU4 +z2jKwEIcd/WLP5ugQVpzpB3hvj/7WUT6MzDfT3/g0t1wnXAUW11IFgZg2KX Wd3KaTyPTvewdcWWgbFYv+HNrRi8X5vav3Y3nkexzun8dn6QYKbr6LYGg3sh C6P5F5CutlrcW7mYgD/v1n6p0P+F9tis7Hh3oYl/GvguqD0SFUa+/rWjquwm PL5fft2o1DuE+ka42I0+PH04CZsnD+4aXET6+S+XdbbwExLcHbhjofQU+fSO cGgfziXCkrMLLNYjPWyx3VL82fMJENBX+9CcjnQviRqaSi8fB7tNKTGrLrCc s0k+NeOvJMDF3hUnNwU6yGKSThziFHAv99uXHIDyYkOPW4R2BAUSW3YLXhBE uHp3ZxpMUsCm9dM6y9coL8ZI4rOtJ6jw/rV/ftdphMtaH6k4UkIFd3XTifM0 FP/WxQnXL9+kgQZ9w14NSZb3VdXbrhY9TIfmfpWMW+Yo/ulVX/ga1zOg5Htb dF8yimch0+AxNicGRBzZWpW6D+GT5mtF1L8w4I3OvVDrTyjO682vrS5UYsKg jmIG055l7u8198umTCb4TMZOf/3L8j4MPft7h/4xAU4rr72YifCR2m8yOkIM ULpS3ikaivtTyaZ3HOlnQZ+YJLeyBeeBPDrPKwc8X7jvbuqevwLXBUeqbu+k wE2H2Yl3RvjfGSaMCP50gT+3mPaV2/DnRKoM270DZPCZyrxFUfYCL5nHx4yV SVBsFNCQtAb/O3fzH/06EASVdua1hrjf6O+We9LVhUFiakmeiEAE6HRYNqb0 DEJ0EXZ0NBuDiw9IR/v478DR67mncr51AdY3s5rkjIHlnpJL9XsSoOukpOon yXp41yEUtUYDg9z9MZGWaclQ12296P4vDbbH39trz4EBF/uuVZd5UfzrvvNr N3oxDWPPCuK81qB9vOf2VTBmFKdB011gXjAQ7Uvhl/021/R6CmIcVBv+DqL+ hMO5b1ToB6Zg5vacR24J6k/oCfrbeO/9JDy7EXhyKw/Ki85687nzOpMgnHHx gmMvqrdr3r522eEjCY5XNhLiK5CvNG+/XFJ0lATm0V+tfO4gX8kloRe2tZ4I L2nnB+OPojzi+fA+/mjrBHyfz1xPFkZ5tA5moPXLOHiLdej+nkTPo8ce1z8Y 9BPAbeOrvvkKGlx8zuV+7gwFtH/E7T52guU9JhUPFCVw/hWfWHH0j2CZa6PN naoIoEJfcZ7BhBiL7+MPEAk7RoPBSPFQ4XMoL+y2Zl5S46GDSvA/TRuW90KR WoIz3w/Q4W33ln+jH1H8126/7d31kAHffAWk25ZQnDeafpLmcmBCv+4Xr3gl hA+PvPH5t5kJ2kHMps/xuJ+63FRwZlwX5BWCOjV2UUHUOLI6EecRWruYa02X I0hWPrh/U4IMB9tOjKccJkOi/0LBbKY7kMqIlj5bpgH2mZ8u3oXrpaIAT542 H8i62OkjrEAETXEz+dB53B/tGHo34BgCC5eUHk7qjIOh+MiJwREMtjNkmrcT wkCy/BCfff13yDXr3DnSiEHp1bMCMsdvA8FxVD3y4zCw33k6p1WE+xHvziC+ /ihwqzbr8mT0wwe7g5P1KfjzYiL7SZFeDEhGDjA+jPfA3LIVbcAPz4tRXZoc IQ44LMx/ri3vANHQAVh7GQP+Zwetb3gnAsez8lehW5rhppoHW+VxDJS+NXaW zCaBjmx1pUhQAUR9SiXYCWBgvEuYu98b6a6bqsS8x67TYHPgpOwFOtrXYZaf eumi5xS0AyGnYBidgx+Lf/jqdfAkRFky190jovptTZrpaEsECZYWjHr6U5BP ScJUBB6EEkGLGvHM9jDLvtbIxdL1URNgmt3nlieMdFRDxuZp/rRxMGUz61nf xfKeT849QlsExkFrx9KOl00sex06Rn8M3ieA6kO9VdQ8FHcc+7cZCAkSQPnZ ozLTEibkp38rOTFEgdnVNdTTdShu11j+psnkUiEDcoo9F1n66zK+Q8B1Gliv fm8hvpdlTmriwuymA3QIqziUH3UVxfP1pKRtfUt0UODkDGp8iL5fh40LSDcw oENV3tK7H8Utz4tNvpR4JsRRoqRebGSZqx+8WX3MjAEPhY8LXYrA/cKKw8jB FRPQdv9B1ruIAR9NxKNLFdctb6RCchM8oVDYTP2hFwlaLY8W9LKRoUf2WWFb /C1obNm5d3McAexmDtd3fMWATaIx+m5LOBxIvhCaaTAEmrf6Roi5GPhxqpRc boqGAx+yJxwudsPWPb5KojdwvcG1UcxsKB7cJid2GMs0AH+/h+LRQxhkpZrm Fzklg07bk9x8jyygPNfhs9mIQYsebNIgo7j6e0Clkl1nGn4Z2Zuse4L2KhTs tLmodHQKmj4lsynVoPPK10NrBVNNJmFRf+GmyHnEk39sVOVEzpPgqP30vlcc iA/THHfde/N9HIKeULK9ixC/MbZ1uTpOEuDfM+7YykAaJFacvnH4GAU2TpyQ Mz/H8n7wW/knd3Hi/nHbrLFHEoqHz061b9+7UqFTYXhiVA7hSo2Mh9ZqNHDs K1xSs0Hx8MfWziyxnQ45Kgd1N3Si+95XurZrFP+7TZS7be85EH5U+MeDnxZM MA17vvIU0H1XiuV4+MOYCUk5nts/J5GhgS66eeseLfD5FnaVeoUKadKE5Awr 3A9mLQmtzXSA3XlTo+yW03Aw2qBmSo4MAf5rfZp2+ECvUbjT1RtEMJeT5G9a xO873axWRzAE1HyHqT/Ux0DBZ/LYUAuuV2evLeb+jgC7UPP4AIcBcFORutV2 FwOO0zMbVZbuAGFS0XZEvwRoP18L3RDGcN/cN0szQveXkh5d2hE0DYaicTNn fqC59cjoqw1vw6fgLacPWXsYnQflt82rliRMQvcjfiFVV8QboybfqpmpJDBx oN1dJ4p4Q0HlPbMqmQjZe3577F2DeGPlbMGUafoEHJyLvPdmAD3vztXrH1r1 ZBwuxHopRNxl3e97+Ol8PgE61J68KblGh4WBb87b9lAg72P13iBXFA+fNtQH qM5SoCthQMw2n+U9g/bxoTbvqKCvzCWiRkD3PapO+/6RSBpsHrJcZboZ4SlP rm3aaUQHjoV90Z4GLH1rkzzsrzYzQP51TOrUbRQPRzIOx9QDE8xWm/MOWLDs 65suIQ+2MEFpMmDw0z0yLGSESa9f3A7rVOJSDUepEPolVaPQDo+HQxWOcfJX 4XUMjbjr2zTs0FDKuLAff34Jbw5QHvICLWX66dU/iJCk+3LU8B8GC6uL0mRG gqBsdczpSAECnHy1OeJrx3/nkul1D6wjwJDTcn2sxSD0Dy0V9z/AQGdv6oi+ 9R0wF82rHLTsgrchTt1Fjnhc6Rtn7w1KAMXSS/rHRD+CTVPVaJ0KBs+/VNtx 1iRDyGvNbB+RWDDzoOk7s2FwuoGHGX4Q6TGxNlIQvCQB+cQuMWsF5Beudzc8 +1NOBIvi8Y0N4UjnvGJsMJ2vmIClR+TxATN0370E35GH68bhevqLqUBJdN9N 2zg27GshwMQNc0nlnzTYnd7i4XCZAh5renYqabD0ac8mCAtvp0JC/oawMD+W 9yW5yk2+jKbCN7kbr6f4EH7GZn3qkzM00FNLYV84ju575Uurau2tdJiY0hix DEb3/Yv8g9FpIh3ar/99X86y16kgjX1bQyEDZtelBvUz0H0/du9xibQXE86v /UX1kmGpMytcMeEaZAD9grNTRwx+308snxQpOQGkkJuqMRQKPL0pT440x58X S9B0c70TZFcTBiYHp0Cv347kLo0/L0Z/upm5+kJxZ0FALwyD1eAt8t/nGKRI WGdtko0GEQYYJ1n1wK77No5J3vhz5un92+IH4iHnpWjccdkm0KrfqVdxBINT VtLFYiK43r5+kvd8+VOQzvUotNyEgbC6xe7aLMQP6wcOPfC1moa7huy2VzA0 1ynX+vHX6itTUOutby7wDdVLx02O7fvgNgnHBD//nDNH9ZxHg93Lj7xJ8Dyy nKeAE9VzZjNfqgW4E2GskG84PQTxg967E76VPhPgrCdtkGqGdIXyjZEkmdvj cCpY3Sd2A7qunZyP8lXXEWCwivbBl8mEyNLW8G0PyCBA7RIM+ovipFzp3u23 S2Qg268VID5EeObhriElO/zvmbfV2h9EuLhlUn9vEwUCgbOh8SuKn7IbShGv ZahAkXUQnPRk0SF8hyO843EdcsdcUJoL4Xox9w0jGFQ4w7vqlGARircAXx3f aDMaSEhZSG3SRbhKwY4dCTU0/Lnv7bPxG4vefm2SPi6O622S3ppKf4SfMaBc Eoqig57RC81wfpZzEypnhxtGB53SxM+7y1nOYaM30jn0GCC3KaE46TTLHomy m5fDXjDgHFlCQ5iCru+ml/szT/Ix4c60wz/jOyzzRzvVVNlvMqHHw8Y2VRLh 7AT/841jTEh7J3607x3K54na4a8MXLd9/pAe8/QOGQT1ba4FRZ6E3XIrbw3f 0cDY20Kr8AYZJE5/M5RptobCM6VlMl8pYFrBEXjBDMexOnYIdoI4rYEa5Sbc N16UvsL733zIVSBtCPOA5i89xzU+TsGnmRmy7g4yxMhGM5iFvqCz/dLk++8k 8OUp+iu1kQzaGmHL4kGBsPihdbq/dwI8OT/VbJjFQM8pYVzwWwi83n3v0UE6 ATjDWgQKBjEo+OgYoGMQDkeP/2yqFf0OFwPi/lbU4f//OnmrbNltyPkSKHCC bxj+nn6b2vkMA4eLVfdCTkRDSN+OpMbj/SD9suNtcgKG+7MrAiuvYkDAqupA 8d4eiPc+HWrmhUFf5tpex7PxUOdBu895+jP074qkZlni/mKvueOmqUTQkXok /fxzI+ReyScm6GIw8FI3mLkzGXLmS26dO/8OPgTui4rejetA99BKbq8UWGVk XjVzPA88Nt+tU+PD/84bdm7tIpTXrv2fGmuHpiFrutX2TtaT/+EHsvMkYsyn gd+sPe/EYzQXGSMopfNqDL+u9+typ1TRXKTbWPq7NZemoMay+6eoOqrrmovZ SxInJsGX7abQ6mF0bkL9vsVpwWkSMrnLilQiET/w/mziUiSTgO/f4TXPgtG5 Sf1bQe/WGyQYKX2+1kcV8cZnp3ApVxoRSgTX73+cjerACm1XGcnORJjsF/jZ kI74RHyAGizwcwJO+cZtEHJjmeNWdXKqdpsAm7jyNWw3EM9IcB3W/bUwDicf Zr6+bIh06Sm7leUrweOgwD4wsW07y55d3pd8v1YI0Eism/USZTl/eJ0MQxEE sF6RrNX8RQdBw6I283Yy3D7F+KLTiXiGOBsat0aRApXPhbnTryE8fBNPyfq7 FBCOjqUlr0O4tc4lj9fzFFC30No1+QTxzD1fjvHHFlRYJ5VcuQAIz9l9rYRW TYVlN0Va8TfEM9GNn1Q27KABf1+nbaIPwoVaV8ltwX1+RHfGjRAehEduUHn8 nEEDgcQrv2YL0e8cVL0+wHmWDvU2e+sTj7PMcX83c2qpoMPDqsP7esYRz1jd ZX8sjz+sNNel/roeinCRc5vCvwYwIOxYtFCzGMv7AeO6P/aNMWCeq3Wg4R26 7pvLUqqLjjIhisw+Qj/HUk/T3L3Ds5gJPlbuPjtZzrdCpozeXypnwjlzOaEi XF82zPemvZCVBRMrW+/BD3QQpx69nheIf15RpjBGzgw4vCmWMc1U8JL4QYm8 QgZlXrsC/tyrYDnvkrjlMxn4t1z2P6BPhjNrO25x1d8AvxvtL2frp6F50fSF jCKOy0kOKwh7g/QL+UOGXZNQz8G7VlWYDLJ7TN5UbPYHJ/M7QhFDRGD/Humw +S8GPpTYrv6twXAvx3LbT8I49J5LnhskYRBNYH99ZHMYiKi/61JdHoPe9c4Z rz9j0JrKQzW8FQFJo9Idi4IjUFNJ7659hcEGIcXkvcuR0FV7U3K3/CAobVx7 4HUmrhufeM2b3roDet5Nm/g1eoEhNfjMMxSDrZtqb7avjQNz8SZCvFwX1Euq 1fo4YBAjGNcv+DABOJ5mLIkmtcKIkfnCfSMMOHcUyrbGJUHXqzT31Ko60NFV 044+iAFZbtNiYQfuKwOb5Trel8PegcLSy6IYPKq8I/OSNxVC/E8+4g67DQb5 tIOn1mFgWPi0tfsI0pN55w5mb74/DWO95mlXq9BcZHRU/m8l0Wkwnvm47UQ4 movsThvOP5k9BVT3a8HJ6qi+3dtGlmJITMHeExcLhhdQ38inPWy8q59PgvUM tTvwBarvnQ53mV4tNwmyuif3+4SjvpGkNa9ikopJ0Hvo80+GJdK3ahcrQoUU SACq5rVhGqhvzeSAx2tGERFUBVT++TxAurdzhR7isI8IUZZavg/DUd9Iee7u 3IHyCWiSaPHsvoH0sLGLTlyf8gSQ35G2N11CfSOjV+3Ih9+Pw97b0kddVVBc /zvbp5SlPQ6T/F5mXBIobwav7TgR8ZEAqd6mok4s71tYI5L7xuowARaNz8/U /mOA0cq7nRqvyGCYNeZxeQrxjD4/150RQQqYRMXzVYcjPEH2xpGHgRTgcpMz XRZFOHT45DWOUuDCZ6n53veIf554PnxZBFT4JbM8Rbdg8WWifSLlT6lw8lZj CPYTfT/HXS8Pt3DQQMlj2qwnCeGtj3K6TNxp0PN7sVVvN8te96Hiicx+Gnyo pb39W8/y3nofq4p5NTpo7dCceGKN8N2C20muj+jgGeH3Ru4Pyz52negKo1UM 0LbYNKF/n8Xvu/KoMWwYcH5PrE2RKsscd/ZTvuIWBkgv/YymdyP+4d8/UeQv x4Roxwq6+A2W82VFxZIPKUzIc7xGG2FHeNKPB/trfzFhw/MVh+Fclr03idl5 RG0GzJ11XZIOJ0MAxYlJWjgNGV9+4q6GBrafnqZmXMP5pExi6YHyFVgjzZPz yJgCBzDlpRYTMlTOH69/KukCa0y7K/mPYvC68NCdTDxuClr2jWV99gSv2n+H G/SmoHk5eEFLDPcjcrTus2N+0KP1c0XiIgm0F0SUH6wjgw1/1JT/51vQWpq8 etJyAuezkqFZCq5znn76JO8bCo9tfzfkexOAcfR+f2kPBm8LNV8dJ4UDtinu 5MUto8C19RCmWYWB2Ucu0z2mkVB5IiBTVXwIMkpHrnzMwUAhRLjZeSIarJ/O mTjr9MEdSk/pmmgMSkM3nSBdiAWdmtoNYvLdsLv9qOS0CwaygyfOw2I8EGLr 9VPdPoGFJtPtwTkMekSprhgkAR91i8HDhnqYOTOTtFELgzFGgeYp/2TgU9fo TYp+A3Oy9K1eUjiP3WVjjn1MgZBiOSmv5/dhbFRnSXcDBnX7+ilRv5BeihEM Kb/2bhpc9aqPFUYXobhLeRZnpTENgw92MZzOoblIhfNBXn9rpuAr212+D2ro 3OFxr46rn/YUzHfd61wSRucOSXlvhH80TsJPf6W5mkbU5y9W3rA7UH8SyM8D XfsjUD2ty/+DAeETCVzF1wfou6Bzh1t37AOYRiTg/hlss6yG6myJX/ydFT4T gZEmnsElhnjpFrGgIvAUEaoydr8p40a85KgVw+fTMwFR7bK1P5lIL/mcOR9w 8swE7NphwH91Cumlv5U9d0WHxkEz+fKy/Uekl2QukoVXXR6HhDgZMQGW+TyP D5Si6jEC5BdvjGKmsMwx29//s+0KAYp3vh+4heuAkcys675EMtT8XZaXesty rtH9K3G3PgUkWnM53Y0R7vu7WMijhALSObSwXTTEM2GvjujkcVNBZOq8xXws wu8EePJmelKBT3xnzD8Zlr6UAyuHd/dTodguy8y9AfFMvg1xz6lDNPih+tbF 8CLCr8xYh4/n0UC1QE2ocg79HgXNWpvX7HS4bjWsOsnyO8/8vvlLzAX3azkS jwPkEd6TnzAj0UWH1pkNBTfbEM/YUCLiNigyQP2FAHfiNYTT1QU6K+8yoOTy 7XbCWoT3+q94/PvFgGbxrJ2Zuei6C+w78mXECvfHTqafPmiw7N06JnlftpkJ eudurnL7ivin506Bq686E15ulrpcnEiGgW3HDRgNADF7dx7v0MC/f9i20R0+ OG94j9kpWl0Ev63j8rKnqBDppa3rfQn3Wa75Znd4HOF1c0dQqh4ZZk7G/M45 Qgb36IKsd/vdgRbdVNx1eBqGjrv1lcni/zeer6/Oxgd6si3U+swmoUYgm3f/ JjIs7XmdsU0vAFZ5SezDTInQ0TT3IPYX7tds9C7dPxACdik7Dq52GIfbf7x4 677jfm3bkYeWL8Jgpjh4izj3GFR90rKsasZ9U+C41Fmh26BWUG1yl/8buJpl vz9SgkGN09nP+x5HAUnV75mIxgB8dpBd9zwN54GWbmldkRhQPHavp1L5K5y7 MJpN8sfgds714pdFcTCznOaycroTLvnssWK3wWD6TJcZ7XAiKNa4Fj970Qw2 th8DMvQw0JG9Rno+lASSv8UVN1+phsT9IdR1+zD4ae/3mmN7CugEP12z+XsR 2Ec46hoIYbB/hPtixCXEP1mH/ii9+TUNEiqtztyxGf/D61IpMdV+06DH9pXN pwzNRSoFFtqv/zsFr/jd6swvorlI716V0bRbUzA3eohhr4HOg9hqUwaurJ6C qu989SMU1Oe/9tU5dr47k9B79ekLjUxU7404L/wsinMS3EYE5wTDUJ//mZiC Np0EEuy5lHw9VQ/VgWcUOKIPcZOg8VBGwjpx5Nf4719bKY0lQmDqKfvxLSx+ TURJ/8wmIpiJmqjH/Ea8tMTesl89eQL+edrtfsFEemln9J6HNoIT8MokaL9M H9JLNfwLWg4Px0H4JjnWuwjF9ZDBx1Nq4uNw6H598rpslrk94YsT+k8I4KGd W04KZtk33JbvlitBgKM3mRxrIphAOX+4T+45GcqOmDe6/kD8c0vqdFQbBwVE ffX4u5IQnvbmEY+jGwXYSb9j9ssivDQ1vPozrhuobEIjn1sQ/xTOOmwrU6LC zPP9QWR7ln4GoVijVFyXuIXzGLCvQvjgoEzL0yUq1Nd59vx8yNIXFDvz5Lod DRa5C+blDyI85jAWlvaJBnzm5UJsX1j2BN41e07dQ4fFtbo/Slj2QWuVseXq ptLBipy6aMrOMi8peLL+8hwdasNNBtRZ5kstl+JSls4xALK51mcfZfF9z3nV 0nFdqPXjjs2a74h/UmY5d9iKMYEzP9FHNZDlvTZ7DniM32bCe5eruyo3I9zg WmzDRyoTjBV5+gdK0H0Neq6lRQ5mgDXH2iNXI3GfnbhNWrrKCAiBixJZgTQY fPTPIfc6GfJCVp4Qlm3AVNMq3zaZAo3G2e83nSMDjRFu9+OLMxw/2av5JAKD wrX7F3rVyWB2r2L87C5PyDpxrfFvxBS0+qjNgCQZFmQ1CNuP+QHHvvxZl4ck sFwzITK2Hvd9zyJmDWVuAelgydxo+gQYjmga/qXj+iRK3nS7bCgUNrXsv1FO gMArZfNFfXi+q5xJb0gPB5Hi2vU8D0bh9Se7nzerMVgSClCTWxsJZRsDzSB9 CAxC2pZanuC8x3BUWEiLBrdDcTPpDX1gatSlpB+L+7t3VSUz62NBmqf6Eam4 Gywl200k3DEIf/dUoPdpPJgHm3l0WrdDRrmGQpYZBm/uxyb7bUmCssgRVanW Bjh5wVDjFGAwbOJzKdskGayF5/J/uFaAxVme00EyOI+FN3xdyEyBVT1vr56P z4H8RcroIW4MAjwYS7bdiK+WvWXep7VNA5vIkd77Kc/R8zZDxtTr5DR437x5 0iIAzUVePGgybP5lCjq/yFmcVkNzkRssaanVp6bgk+ABm7jd6JxxjsCdRfk6 CQfrzrNZGyO9tK7V9eQ7S9xnWwrFR7IhvTSjclieY5gE7xPytP0WUH1JQlJ7 8cJlEix2pSqpV6L60l6xf8eNRohg0pdiNzCK+Mq0f/3ZqItE6KwQP1fVg/iq gVNTr2liApy2fyOtK0N6aUPTmEe4zQQ0mgVteFOI9FLCBCeNExuHo8K3zImR SC9pWHtuULoxDpYn//5LZ5mDqblqZDXMIICKnr3WSzOWuZx4wYd/PAnAzu/a flGdATd/7tjmOECG7c+8g/bXI555Ma6VIHgI55mKixsjLrLw1e3RcS1cH4gL fKi4uIj4ZOamiUXxairkS5zUoacjPOn3Ib9seypsyLmwfUmJpZ9E4ZXvhk9U 6HWa2p74heWcfbNZ+R5FGoRF6mIu11jmj0bKTFfSaWBVjelmrUb48OM/q0v/ 0KBuITudmo1+5z0Rz+nN1nRYF7rz5W11hE8f8Sz5ieuzV+d30p6yvM+VUHss fZs0A6qGzq4J8kb42paU3c3RDEjvYXf/yofw6nCHTAqVAaOCSv9KS1jmUZlO xxtPM2F9ocLZvhMI19KRtjJ6xwQrC29NAwLin91qy2lO3kxYo/KsqigF5x+D wQ1X5FWAcaxxtCeADi9VyqTtbuL8cyYs6lKjBdS3TDYM3aHC35MZQkHWZCjV jlzVOWAPHN/FokxjyBBaPveOcpwMG9ha6ZfvuIFiYOs+m7Bp+PLoii5VHv/8 hYwB3w/esLyzoYovbRLqEkw5DwiQIWnPmufkEn84YN8rpZJBBHJ3deiXP7hu MU1oWlcfDEFbYPefJ+NQsmtt2OdxDIT/5u02tgmDdZ6i84URY3CcfPZmRRsG xhyL7F1tEWB9ZJbnRNo3EOJobg4tw31f3cdSBeMoICz5XZF8NQAh6kJZJem4 vjq4I/7zpzugM7rXY/LtV5CqHZaSD8KgY1Bwc61ZHHRlJabHnf0CSe3lCdp2 GKgfUBAOZSZATvna3vFHLfBokEv9vgEG0s8416u9SoIQxTxOseu1MK0+knZc CQNa69F+i1/JsEprS3F/4Qv4VHLH7/wW/Pt8atd5oILzjwKPcqirE4TH6549 sxqDZIf4ioVrqL6kPJeYhkVPwxxNsMPlDZqLHAmVVRTjnobk1VsYX26g/snH rzmOMOOn4N/zryrL6ugc3OWo9ko+3xRIh17eKOOJ9JI9sziGI2MSxIta675J I73kdL2+uXHLJJgkvuBvXoP0ksdxhUJH/Lnh16Gg+LEb1ZdSm8bWFYqRwNni KOPYe1RfKp+iD3Y+IMLw149KxcPIx/3akDR5UZIIzprHB1NrkF4y7fW9Fp07 ARNtgkZ1L5BeqvrzJu2B9ASY3C6X9b6P9JKR1t7Uc8XjIPmPHZt1Q3FNMzbQ cVIYh02mD7yirVjm/Opq0xxeEmDd8JL986MsdZoZ6c0higTItnu8TDjMBKE1 LTFMKQpEpPfwFPog/ol+qO3XE00B/mXL7S18CO9id4r9QKbAp5R9PKMvEM9k z/ecfG6I58uTZuMfhizvr5GSIHaWU0HK1//tp2n0PRa9tT9ggjR4vOPCaFk4 wpmvTFYOBNGgaFIvy24bwpU83HVzJ2jguGu32eJbxDOiZldb/h2jQ5DugZ77 ZxHO76+160ERHaIlLnn8paPrMurUUnyIiwHVCj20C/Es85LjiaMEVwZcr+T8 UCmH8IS7muS6rwzgWmdVNtjEoovcqg6kqjKBQ3bMjt2WZS5JRR5Lf8SE+Csu 5av/oPs0mJY7bkJnwlP/UvfCDFzPnJ40tqOsh7c+q7i/r9Ah5tHQK1IwGZS5 Wz9XJJ0DEynmrMZaGlDnDGoT7XE+GTt8xszJDkq5atJHuCnwOKRNI+gUzmPL nJIW7q7wwbbzYNhaDKpP64taK+P/9/fzkUl3LzBUvVcbxfXfvFLLsvpWMjTI ZTfcvnkTcvS1N/RsJYEUxfiU2WoyOATd+ZbvGQRlu3x4aGITsBwq4TA5jeuW ekdQawqFtH9yphPqBLDZGVZR/gWDIxIyX9oUI6DO1zy2MH0Erl4THF15i0Gp c7anfEEktIb7j+57OgiTI8z2qocY8PE3XxrfdwfOcV8q167uhQ+RfXLvcR1n d9KRMPAiFvRc673PF3XBvHcNs9QJg5EF8t1C/QRwy9i7wzykDbY1PXmVeRoD xiN9Q3N7nH+MzaxEaj9Chn7adJsaBuNxo1uWnyRDjmXIP4XHryB51WfSNQkM +p6d2NCGpUDd62m/QwdSQKjhnojeegzW06uHisUQ/wi/GX6uXTANQjdVK6qC 0FykcvyuBr0906BV05cSuBfNRa7yLubJK52CAc1/LTvV0VykpvFdPeV9U7Ap 7rem83pU35Z3vJT6+80klB/kJYppoPq2WqYIB2hMwur5CeOd61B9+2WNqnPl exLwl16rECWhOtLwj4S/YdokkBO8nlT7DtWRZkIXEnk+ECH5XGH74YuIf57O GIh6aBPh8U0loed6iH+4bgwN7qyfgHxvv/sT+xD/EMc+hfMemYBIhvBWQSnE PzcSH8C+T+OgsFE3h7KEdBG/+WWZTqNxePfFUCNpDOXBzs1Rv3O6CLBlU3m3 fCeLXwEx80NnCHBGk4OUXc0AvY8vkzXNKHBmcGq9lS7iGTeXQIPn7yggKy9m 9GMM8Qk/XWVX1hYqRBfbeqwEIzxiJf/Z3RAqCGfN/Fi7heU9NZonuI5PUCHS 6kz82QrEJ2plN5656tPAliz7U86YxX+t21TWVI77r7vR5K/T6HuHfw3/WMVP B+FmwcHvkQjnGw5Zv9sfz99akRR3CYR/4C5UNhyhw/dY5tVT1YhPJgQaQ39r MqAyok845xLCB4rvehY9ZkADbe1OxgK6jjT3VAOBdUwo3cVudPsui/5x3WY+ 78wE9j1Bh/P2suxD1hftXfeVCYrGt5rSmhH/+H8z1YtYwf3X7MO1JXFk0F4Y avpQchR2C0aXtvymwUhH5F2iB/75DC3dtYtWoOQyctcP12F8j0gu1y3JUPnw U+nRY9fA6sUtny52MlhNSKib6ZBhZGOsweZhd3h2t15WZ/U0TNADHX124r6s JrqHc70v5AvNvLm/bRI+ZE4KKvDgPCNvH3NqIgA+hzppZgoSofzdnrcn5jA4 ld5mphgdAoYbOXQ55MbBqmMq69U3DNTUxzfZr4TB4NTEoeS730G+WEazugED m9lP2v22t4GPNyaFmDQMLc98ytgKMRAUnCQrzkfBjKcvme9jP2y9p3U9JxmD PIuQDxVXY0Cy5K9SXFkPRP0a2/rQFwNtx4Zjz/7FAd+lzCOuJh0gt/3p3s5L GNx198gwS0uEuk9DEc61TSBF865JP4bBxeLWj8KrkoHw8b4pp+V7UJGV1m3Y g8HiuuKUCv0UCKnfb2G8KR/WXDjBdXjzf+8nNfZ1iUD+q7TieVMnNg0jN3bs lBh8hJ7vysdCUxynIVAsSTuoCM1FRvrseTjLmIK5HS0p43poLvL4nJ2vhssU cAjkP+3WQH0+2erT5eI/JkFPq94vzRad7z/yWQ4V9p+EFMmw7Pu8LPNc2tdv 6/8mQYZsYN/V1ch/KXVKk0WCSfCd9jP/ai2qFxllKG7sXsZ9lhHPTnsr5L+8 DCa3JwYQYdvZoftCFsh/HZfpLT2xhgg6KxaZIQeQ/8pRF/pDDpkAUfFXa7L3 If+VKpj7dBf7BPCLGqj38SGe2UuumbqZMA78P9v3/Z5Ecd18QvUCO884OI6Q S0NY3je+4LK4TyGNAITHx5e3v0f5ffaxfGc9DwEY8VqCO5qZkL6k6nXKiQJr s21kDPch/pla4PzU1U6B148Tv7R2ID4pUewwVpKnAt3x80kHF4QLbba/FpFK hYhIZUVBdoQnhGbE/7lEAy6R1VyPNNH3OCJz7pG9DB3MvI79UfJi2VccUnDC kYF/bsvM6f1FLO93KGpsj3vDgFZ6bwcXCeX7Wdm3vZ7BTDjhRmyU2cqyn+HV Ro7rOQy4Z9thzxZNho7rNcdPSxpCxFd/57lMGqTFyPfIuJJh3PH6YpiNDaw6 ESl/9CUF4sO/Pnh7HtcVzo/fZOxyBlr9+VvUPAx2lhXKe2ji/ujWku2LXg94 vTH7tuiTKWh7JeDycTvOD7I20xyLviCZH0YVqCGBY3TzxlBOMpxxW/vrTXcg KP4qdTzzhQD1PzRvyw3gfiHgEmeYezjsvjk0NfVtFDieLC6K1GLQc/hlQcHQ bch3WT7Y8HUIpMm1JwyeYmD2NNlW0zUaJN9qOunRu2FOn+faew8MZAvPeWUH xkNI76FSO/1G8L78h4ehg/ud0IuMZk3cjySt59vh9Bi42XWM3/PgeKp/hEkN yx7ybZMa/0ym4YCjlG9XApqLrBGt32l9fgoOVIYV9pah/hm/s41DA7aTIHfg Stb3JpRHbtQClRQHEjBqxR4M+KJ6xfKRjwesSEQImf/8SasG5Uv9l7c5XHZE sGi5vwPeoHxxc9tMolEm4NLnV77cSShfzv3Nc5W8NgGbf6Szj8ahfDH1lUkP YY6D3nBsZO41lC+6tpVrDXzH4dNzp9khHRQXVzRCKhwXCLD63ub0zRos84W5 ZxnXAglQFnXimKEIA9quXeaOU6FAzz6NOO4rKC9kR/uvli1RwP1DvTL5IYrz VLUnxZLWVFhvs0DzU2fZY7knIWWpgQqYy8b12X0o/ruofHOZsjTcJ0Y//XsD 4bt7zHVik2ng1qJjwcOB8DJTkZ7CORpQdENbGHnoe6vm3xhLsKDDlVnZqg06 CPdInowdrabDbo7X3B++oTx6JPdMVFqcAUuuPwO9A1h0PndPn2EYrvPjWhoM hRH+9cvf1WoGTGhpy0y3MULX8VyizG67VCbsOeHouCcN1+1Xcp0eWu8He3FH XqV8KlQeaApZY4vr/J3z59y07GFw/qR7weNpMDAc9YtWIMOC7oj512veYDJW KjpaSYRFs8de7ssYBEhyt7u4BgNfP8XWvW4MEvzGOFTaMdhgtPZmwpMIGLz0 +3AecwDMH3NhivcxmKYZfNyUh/v6gt8fAxa/Aof7EOlLMK7bvZyON+3FfT0t Tv5c7xeQXZh7NnwV19XSoz4GzQlgsqfT4Z9wK9SkvkzfcgqDdJKFyKqcJOCz V14yUasDAe2Ya9PKGJB/yzmETSSDZPw1nazWMgjQzUwd3opB+Ee5Vzt34HnE zk0rEQuE6cz0xi9rcH0evUWHZIp09fU82y1/k6Zh2LqijFyB5iJfriML5AtM w4wfPSL2N+obqcqb9Ra9NwWMOPFvze9Q30g699DniEeT0HLK8qQ8BennsDy3 zOU8EmTfXtlkfg/59FDusubvT4jAPreUsek90sNsmiZsZQUT0OnFILQmIt0r 1K2n3f5qHGTqBYXKzqLni/LdWfr8OwK07Cr4yLGLDooxZE57UQo48ZYlKt9C eRFL7B+tCKMA79v69+NCLPuFnGbS64gUSN1XsHroDUvf1wG1INnjVPhjZ7PN 7SzLnnyJPyu1OO+r+D96MERH8T9SsDhV70uDWmbOy/7tCP8wZVPrD7jOfKk6 LG6J4j+rb5fScfw5tNLg7nA2FcVz1a4vMQ6ODCC4f+JR2o/wNZkzgW/x51zG v3xRYjuK8x4Toxn2/Uxo1TMoSGHZBxemXKovd58JIvZUoxurWOYsVPOw6hUm ONrOl317gK4jFvZl0BrPu9rfTwYiQskwELDFqvPIWZjzcz+Uup0Gz8b8ZAUc 8XxpKXv2u/MKmItMbatRoIDz679bdxiTQeLmbvd/rS5gO2Ls+2kHrgv/NpxZ OUCGUwTqpcMSXlDVILLu5v81dd3xVL5vmFSipCQrRUVFlJGycts7IVJkNIwi kZFs2TNCIUUyE4mUrVBJZkZGOJzDWc5BMht+7/ef33P+9Hw+x3nPfV/3dV/X s14lAki5nVBd3UCGy7pbJnYKBwKfNFf8RwscFFZy6Ej1YPxoL6UWxY751qm1 2oqJQWjQmuZVySKB0Bd60iE2rI541FSrqd2QkM28xcCFBOHEtEXP/Qmg+qSq z1KtCVqM1OtuKGJ+s775hcj9JAiWiu4YpKWCbzc1+uMWzM9u17+SwY7wb2Jf ImH2mgg5dr6B5aHoPfJsO4gFvTJEWHsZ+H5BFZ2L5LVPVet5Ow39wvou81Vo fwJ9p/NI/8lpiD2mG15xH+1PsImI7veqn8L8U7az6zqaby8WdU2zVp8C987j toEtaL69UdDXyrCZAMYO8ukVhchXSjSsKVdrE4Bv49KK9V3kK98XVgXsa8FD vSdBukAZ1VFN/2tPo7ZJSBM2kaByojo6JfKOktczAbKdxp2FY6gftROrTI8P YnrMxkYioQzzXXr9O8qNKSBv3BJF1GXY12RcL5u9iwrGej/sV8NRXUQobx/h 9aUCt3VsQ4gQw3x4lBh5VGMGXuxwK6s1R3VxMfJZ0rttNFDjWmGdjEN1oW0l yHVygAbnVAIirzYj/F9Z6BOWyaSDfH6Lj+NfhOc+o1e7rtvPwid9SrjUCYZ7 J2SCRwL2zEL0BrvXEgmYn7rXsDikow4DzTYT3ceo0B69c3DOCuP5cAUWYpET bKnNW3t9mAyHecz5/6iRQUxfwHM63B0MOTWdo/YTwSZj6emuI5i+yms/Z//G GwhrmnJqJ/HQCDuKyIuYP/oTNXzNJhgGO1Nrw3Qn4CdeckBhlATu4g8s7Abu AU7vdbFFzxjcVnrdpvQRw/OpgbIU5XAQ/vHcva5nGASC2N/mFmO6CwStyr5G Aql/+XPK3wH4+U+m6mAyCSp2FM39UYnB9FjbvQM/v4Fr0dgP1buYz9rId/dl fxwwlTwalOvpgGYDktYNW8w3Xdm/st/5Prhp5vJFn/oE6gV79vLpkKCLwtc7 PpMI77Opkq+Xi+DNrMXhT9wk4J0qJa+4Id0ViefdXOhGhCtJ0gfWStC5SGvC mReOXtOwefWnXmYNWgf/lnKkJTlkCo427zpM6UPzt+oSjkMvIwiwKa8p5k8o 8imatws4s0LxoOOxi8lfAekrw2x66s7oSeD+Epuaz4l01FLAcNJc6gTsejts /a4V8Vannr+ZEM8EDCqez25i8PGP1cWj6x7joHhu4Xwow7ruXOUNIRleHDxm 4bnPlTcLd6T+lrV+p4DI9UxS9weG++L4y2RzsqhgHUy2X15Fn69M1a0ZuzED Uywm4zXHGN7TtNnqlZsMDTKSVShHHBnmP4tJyhZrNAiil11Sz0LPR8mxzH2G fV/Zksri8neEW+dj5Zxn42bhuDMxWp8DjRs+vunmYEuHo6XyQh/DML69WBf8 u8gY8rtM1yyvkUDK4l3jKXky/C71sFu56wFzlR3Ln/wJYOj/V/T0Zkzn/9g0 g/cJgEMpuLXYZByc7BNxkOwjgcectuimhlB4U/Tbp9ZyCG7z9r7SzCGB0inV tbLaKJByUOkPdumBD4uR8qG3MH3euvSGrSseuuX9PoxrNYOgxVP7l6dJMC6U 2O5lj/HtkXZvzstPQIOa6vJ+KwkETa54eBEQrip2O7iT1YjwNqZ7z6QjOhd5 /hEP8x7tabD1mOLVzEbrlYnK/NUZplNgGfIl4JgW4slOs2/VohYEYJlka8tY QXr+0xm6ajJuAlTNXMVFcxG/8SUJbjIk4uDWWtWEsdcMpF4U4MzSoMAm1aCY NXPEb9U8bYaFrFSYuNdlOJ/E4BNrBjUEb1Jh+/h78wAJNG6n+MS17uQMKNr+ ER+9gvBwaYmpi62NBqefp7Xd72J4P1nwOT+4T4cD/Nr7LNnRuBnn9xjjC7Og HdO0XU+N4f4y3Ddmd4tZGBYhbJNIwvqyLGfxkRVF2Od+1SfEmQrqts4vV23I 4H6e9+VRD0dI3KBD57tCBLMF8lajo1jePc3OC3J6gwBt9cj9O3gYMRhKkFwl gdYnVlwHezCscBpFEnTHgcmylSzfSoLUppmUnXNhgEtfCcv0/g753ULG4g9J 0BG4diFyPhqCrW2/e7aUAB//XetuXoz3el06OfVRflc16jl7g4lw7K4neb4c nYuMaxHa0RQ+DT+boh5I16D1ILmeYN24xCnw2nJKPtYW8cZlErW6L5UAF3fb GYlzIN6YaDxKbUjGQ0lFZLv2Gup3hTezOuzSJ2Fh3+nad12o30UU7CSN5k6A oPJKtWwC4g0iNV5p6AUOFOKMtmljeftzN3frXTEKPBVajBd2Q3hIe44PrJql wIalSoGJIob7bEU1W0ffYXjwNO+pnWDYH9xQuKsgbAbSRubCf3IzvBfgs1NX mCENhL9JtXGfQfywj8nxsBwXHfzTZW5fi0R4ME08dFdIZRZ02TyEfa0QHl6e 9jGy6JoF/+szzeKPsL6m31moKyIEL7+65E8SqHCcXch8qz2Gh+Vvf99ssgdB suEvBTwR1PO6p5qksf6185pVTIsnhPVc3XF0DQ/c15wtK9exPvWGfQA+B8KO Tg2h9T04EHi0dFi2E9NXQ/zWWy3CoH3/2r9ip0HY5rkadCqTBCxWT8Qyz0fD hU8axfM3uuGSgd93LszfHtusdBLnkQDZzEvEfuUP4KI9zSV2CvNBVstRvVWY 378dp6u5GAdllWoFbZtIUPRV2qRRCumxZ3aLviJvCLCwmNEfLoT8grDViZx/ FXi4dsLN/ocfyrvNFubT69WTUNWWtXn4LMp7/lpQSlXTBBzTlb0twY/yHqRi ns31BQfnm1nufKXOwDGFRK6P1hRwsWOL7FNCeR+JLhNIE6JCIyc5kNkX5T24 QeP2LixPAiPmhyO4GMa/V15dN54BgSa8XIYuynuJkMN8PR8NaHdlC0eCUd5l 3p8yvzJJA6ehy5qn3qG8Gzqc/ySC4cxIVqPXcw7l3TwhMjPk9ixobeX6y3sY jRuFSVbGjGO6CDdiLhlLBscbi6lZu3QggcdSX/gnBczevGMhXSCDX6WVZQ7u OmwWVCMt46bBQY1FZkgE6xcDmialF+/ALzW3CnbjYfDonHzhUIjxA6XE5/W+ KBCekMEvun6DZ1oTF1a9SLC73ZUrWywetphwzp/R+Qgs0t22vJokoNz0KTu7 KwlUCXfCaOL5YPzp5HztTqwvLM1tnHyE+IEn9PYffzsi3CmiW24oQucij2/0 1+Swn4atx62ZWWvRfKnrhW54fHsKyAFzu/X00XzOQbfJlbA7BCg7Ifq5cw3x Q67IwRNBHnigy2TJvvZBumLh22mbJuxvMY/hW6lnka6wN3uuxBI5Adul6pmV WFBcKxPo/uc240CL7+pjWeIsxCX1LvknYvW+5VOOIBvDuoa/y70PmK/j2SvJ O6iC8s5903SPyAEaREjoBHrdQXlfq7wY40KlQTYeOCVLUd45jmWlRpbTId55 jYWL4f7K7UeWN532x77fPSf50l403qawcLOkDNMP98t9+qPIcGmEc9CxVx/4 2P3O+nJ8AzXcca9oDxIEH5DIZXGKBzc/V3J4bAvEXja526BGAvOMrpNW0kmA ox+fir7wHN7HUVh9OUkQmfte9/MblK+2H5olLWZESB5f4ojjQ/NvfP8k3KQv TsN1NvGuFU80/ybDP7uf6DAFY9lsuez5KF8CPePmJc4EsH53pSvfYhQGSuYM dWQp0EItNDR1QHX3cbuAS/kKBfpjgiSJ2SjOC42t4/M6s1Aw1F1dYMKw/qJY M2+XMwuNZ/WAmoLx3uhWOa9FSXirJyZng9UVz4uRypYrZNj9WCLoA90eCsvZ H3SUEyH6gAC3xXGMD08G8oeoesHYnsx0qS94+JfB7ar+lwTe4e1ncjSDII31 W7rZ2DhIq+YZL37FeGxuS/nNxDAYTFCQnuYYhE8DrAk/00ngomtn9SYx+v/P RRZOqp8uwMPejfyGmsWIr6xclXubSyZBr81SvCMI8ZXv44HkiHcTUHBwrySn FuKriKAYgfp6TMd2rrsqYDwy/MQxtqqQCu9/S2+fmEN4+5bbPhLtOQOtv9rr OUUZ9l8es1OSV6bBNmcFm8vWDOfL2Ac99Vno8DThg8jZhwz3gqbvSKPLYr+/ j4n+VQ7jh974fbOLHqDNtDmk3YAAJyvyFdpYMP9e8vmq9lIAjH0JP/LOAQeG Ab0Js5h/H2Y96eu4HArveZSKF9cHQcJ3on4d8++5IiwSXxajQPVGsCh1aw+M yB3k5r+J6UlbN9HhbQkgpUnm9L/XBMPG6YeUlEhgO3ByoSoM05P0oTv5bY9A wuKhehgbCbiEEg/tZEb9wrNHWyD9JBEsRc5ZvGpD5wj2fTMJWhrBQeumyqGG ZzNwK97B+OYZChzdJqsnYciwjhDCpJizgwpveNNtl6MQ3rb8UF0c9KbCg/oL ue8PoHFDr4iYVNUZMBLZxbnxIopzwUPPO4tpdFjYIHoglwnF85fK3fkDV2Yh 31K40PsUwz6oMe68/8657N2qFjXzny5pLYsncavBoVkh1r+nqXBk/TBHxSVM 56+5ScpfcgLB9o1xL6WJ8NhNVnES86Gm6a7cu2K9////niuFtJZ7EuGawQZu +ePIr12/1KQReHcaApz5MkN8kV8jP1eZMgmfgtiUS84P3iHdpW8V1eMdQwA+ 5he/dRwQr74Mj9pcEIkHm1CpilIxxKu5vcNXReMnIXLfytiLdYRnS10nYnH6 BKTyTnry1JCh/NHeDxmZVJhm9h/89wfFrThR8FUe5pdmtwRQFqQZ5p/PXDx6 7DgN2gxUXZ1vINz64dKCrJZpIFTNJKCSw+CnJMweBuTgYPAxpWQG8zVnkw1t CC8wXzOs5PTXZwjGDDrNNz8nwfsHZinnCjFfUxNQUx7XA9tjizRN3EggptZJ cK2Jh9bx4j9Mkc0gc3Gxy1+FBFbyLLvZrbC+Ni24f/R0Fiy6q4oGbSNB++XC UzPDiCf3ff+IL9UiAs+GvPIn82h/ZplPiP6M3jSktMQpO11DvkZ/gybzi/NT sJ1+K9xSdABynhQbWapSYPk3TR8uInya63Kce7GRClomcdqzKQiH9QcXejbE 0WHUK//zQw4UB8/1bCd2zM8cyliRuq/JsB4d5/j1JsazrpIf8VTMR1xqXBjW eiAPbpkiT0t8qZDdFzJRa0uG+21GA/6ijmDXyMp5+jYRHnw5VCAogeHTaYmn bcoL8sWIeZMYDiYTDKL+YT4iZr5TvZsaBMFqcg2fHcYhd3+C9ArmI9ztf3bM /Qj7//c/Uk4pGoyehrtypQQeX6T/z+AeXtdPmYKOoSB/WXWEw+u8HOVP0wlw 012n0WsW6UC93m2Tnx7hobk5N+guBfEq07PYx55PJsHBs2hjXSPCIdk963R6 4QQW3/XuB0GIVxUGDjlll+Jgv2xetfc5GpzoPxReM0MBh5bb3OMvUZwNOB0N 1PVocDZGxsjCGOFwJo9jt80CEYL8OEKSZLB63LRZUP6xJ3BvN4kPZCfAnoLR cxFMmB7jb7vg+SQQ+hze1cyJ46DBpu7WT0xXX/YXekjRwHS1qSKdFjEIPoW/ RFcxXR319nWzikY0GAuEJh6M7YZCXCYeh+nq8EAuBy3bBIgqPHRwOeADhOie DljFdLW9540ex9Kk/z9XlOvu9M1VePDVjOfjdEHxqVSise9qmAQp4W3GY4Di w/6Rg+LxaQLKihSjY9kZzq8cobcPtWP+6IalyJ8fM6AcsN802JICtoI+OvyA 8Mls4x3XF0qFNKWDHB93M9zD38y16R3mcxr6I1ImDVBdL0+7aVqM0+B5+RFz 9RqE2yS2JUFSHh3YEp/7v15geI9PoImv0i0Mz3t0hWzE0TjheFNgJJ0O7aQ6 CRqme03LiJKlOC3Aqe1xM2SmQrlYp/yLi2TIEEsOW3hwHebif9VcCv0IydsP 3v+O6dX98cLVFWxJYNfb57pvXwG82NEYGMhFgpu3hRsOJ6C6lhkZaYi8RgTf q42GquJIryr6z40evD4NSc/unZvxRXo1wnHa7qL3FKifVbCcl0D6RyyLZd7I jwC9idvkBUYRr26T33g0EvPlGzXqpvFOk5CdsjISi/XjtY3P6jlYUDzTIlrS ZC/PwIZd/UwO8iiet0fNDxYdocGROg3vOTeET0WD1Y3X5mlgZ5SdIleI4pwm RmF+UEWHDW6vHrFOoHgeufInjKejBworZy7R3EnwTTpAUyEpHhIlOTw02FrA 1vp57l5VElheJ+fJaGN4kx5XrPN7BpZBqQ//cGD8GXri/dBnFLdfF8NbFc4Q oW/uDI57E+LDq0oWowkm07DdcSS8bAbpxob49KRWmynw/lyXUj7VD3WinR3d ChQY8/j6tdWW4fxscbJt6T8KxpubFKkZDPuIFvLJm9KpYNVYaqB6mQwd5fXi QjEOsFkh2jj8ARG2e2ePVkuS4cxZxTTRZC9oyfmQFV2IhzluKb/s3yTwqz2j q5AWBHG5LBIJOeNAKeP/4N1GAoniv/DqLeIx/rXOroEs7HP4samxNlRfpazX TmXmTcJ5oXuPWrJQfZVtriVxlk3AC7vt68ZXUH2Nvbjw4dhbHMwEm3IPytFg 5ulVjXp1GpSuyZ3/cZ7hHFzk0UjRowQ4ItmkfeS/dRO8rs2oXiBcSHs636uL g410nXW3bhIINYlvKdobBq1vatrdmwfBdCfV3f8pCVJvDi+HCkaDYROzVeTX blDfivvt74z9rlsfPnKeTIALS5HpCkxNUGpINclQIMHVPOMriemIT3z+Ch1y 6sMBcxVrkHXjDJhv0uxZOkcBrRTz1hwtlBdBY7k21yw6BOpd6xJfQ7h6YzMl 98ppFqYV31ylSKHxHZHUnSHbZuHXauCwSzwZxJTbrb/6akBY2pPaXMx33+T+ nXPMigzfd24YSl12+v/nnGNLNZ64EMHuu51UnQTah2PqMrTDxH0agiI6lt+u IZ1TFc71vD9gCvDzbZNqP1F/UfyrNTF5jwA/dUf4Xz9D9fjD5hPfoyA8SF9d MtTTm4TPGer5RZjO6P13fmF2CdVdQ4bnR17XGfjxT6Qv5CgaP95wSbYCy6fz iLLD9FWG/WZe8mumf2kwdvBylnYmw3vQfGqj7yoPwSb8d7bQZySoGDlqt70L 0ydc67NGhj3gaecgUemK8b+xUHguPh5WkvQjGjY2A6u5zu8RZRLYsO4Nm7iF 6eQbfu1qYY8h6Rq1gnkrCVxVBV/9o6F61DPbvH5QhQjyu/6EHRqrg+jd0V14 bQrsDNvRVmnKcG/PVIR2PjsV/N9wnVtIYLj/bbRCxP8BHZzqpjz3sjK8L0CI o+Sh1Sw4+MbNbFBB+XWSU5H31J0FbUGWky6JZCgtEPfbanMaOrVyTM0vUYFA NrtzyoYMupPjIcPvHeG9VkTHLxMi8O4tcQsS/++cUXmqqzzStxer2z6wPyCA drXP6Jg4wz3wL/V/vb2PhwfPb/BzsyNdaqJYsW6YOgl+X7rdK8ZRPR4YDX1w 4NkEpA/P5fRlkuGPe7bP258UeHp4VRifz6DzJeJ6d/cSYWNXsv4vKTIs7W3K +EHzhKUU7+TvZDxs279qR/jv3omzBue2zgeCsVx3KAcHDny6pHAeHZjfOckt InEjDLrnqjlv6A9CFvwb8nqM8cx61P3V68gnbunnvkWtnITTXrL1/bboOdWl fqr8bZiA4umjVh2HEW9ImNV5GHzEwW3Bki8ZazNwYPHfN7bLFPDJzfh0Xx7l 8d++nRdMY6iQ6RulpsOJfpcI9UKTjtkMeJeqfjfRYriPPv2f/c0pGhxjeiwr 8Qbll7X57a3LmB5KHpgUk6eh/Mo9rW/47DUL9r9HhnsOovGawTRqfDcdcr+v Bd6MwfqyCMu/RG1dEF4UyKg7lQfLfqVXV3eQwMTvg0HmM4TPFXE2xduXiFAx u/d6y2F0f45IHGvxkt00hNWderX/N+qzZno1+0Zdp+DZy4KebEfUZ/eofWCq 9SDAk8HT50P50LoAKexs354NOHCy9h6rXZ6F/wErDkOt "]]}, Axes->False, AxesOrigin->{0, 0}, Frame->False, FrameTicks->None, ImageSize->{205.6, 205.5999999999985}, PlotRange->2, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]}]], "Input", CellChangeTimes->{ 3.4792247408507643`*^9, {3.479224771115405*^9, 3.479224805336903*^9}, { 3.480031761608872*^9, 3.480031797954927*^9}, 3.480031834198938*^9, 3.4800318663313227`*^9, {3.480031994678196*^9, 3.4800319991094112`*^9}, { 3.4800320468470182`*^9, 3.4800320775627813`*^9}}], Cell["\<\ k = .2 \ k = .5 \ \>", "Text", CellChangeTimes->{{3.480032093533235*^9, 3.480032109439726*^9}}], Cell[BoxData[ RowBox[{"\[IndentingNewLine]", RowBox[{ GraphicsBox[{{{}, {}, {GrayLevel[0], Thickness[0.002], LineBox[CompressedData[" 1:eJw0l3c8V//7/5UoUjQ03g3ZDUolK7papEKUoigRiWQUSUuissrOXhmZ2WRe dvbe28t+rZOIhHzP5/a7/fpHj9t5nXOu9bwe98NvYHHVaDULC8s9NhaW//39 f/9+wv//H++Za3HDKwQ8fPnsYpT6Y4hnZhoEklopL4Xmpf4WxtVCjoiS+tXK /vbMZ26wLiCH2+0fASMbWiS01L3BnKCxViwTsF+MoSw7+hlkH1zf0L5EQP+f Bxl/bYOhdNUF8fxFApafvPhewxYBpTGXjGz/EnDvCpQ4XPkCAiL8ORwLBARM eFvzBUbDZ7lSocfzBDziEGuNoMTC5Cvd1NTfBPQaTPSvFouHv6bXdStmCBCx rPM7a5MI729ePJQ6TUD+g01LukXJ4P58/T4rggC6H7fLV9ZUkIebH2yoBDSl iBzUUkmHN3qhLLkTBHRvkih1tcwA/S/7kltGCTi8Y6tUtG8mIHdqivMAAcxd rdlv+7JhsvHgRuFeAi6oFFeeZ/kOeS0lqf6dBFAtU7+PC+bCB/0X7SuNBEx1 Ol8qN80Hu4kS/d+1BEj96WEufSwA289mSiU/CJhLXfuaO60Q9Ds/HekrIuDL mzHjgjmEiwo3DvElEhAtLzbMdroULu73EKyKISAyx5jzd1MpTF75HXshgoAt W6akavXLwHNXjlmNLwEXj/z5csCxHGTaGPWDLwg4T/HiDiqvhLf60/MKNgS4 NhgGJWn+gA6T14zH5gQIyEeeihj9AQ9U7+vp3yXjVb00LLqmGrTFPI01zhJA 1N//G3WmFgKOOv++L0dAlottXkJTLYxWjoRcO0aAsoh6prteHfBHfzNI5yeg 6sPSg8GX9RDTF7X6wz8m2B6tMk3MaoTARB1W/1QmpN3b5h3K3QLOA5eKTscw gVE34JSl0wJ2+u/V8gOZMFIUvCrtawskRQZLCb5lglGvdoU6tALyCx8qVid1 ZUi2yKM2oMqLl8AYA8KO0SiVpR1AK+upX+lggPCPBM5hrk44HqFBeFWR+kCd Y+eNTrh6RbZGLJEBZ5X3R2lRO4G2Kc4AzBmgDNeOBnB3w8cdJ3cyaHTYviVX 6PvVXri5Zo1Tdw8dqssrPhgE9YJ3UoZLYDUdjrp2yFGGe+GoBDb5xtJh9PnZ bj3LPmhqEL/44g4d+JvSVi649cN/UYzQfZU0qGs//N+j74PwqGhb3bV0GjkP zxxllwfh1l4XPd0wGsQIpZ+i7hsCY925o0wbGqzdGHtKzmgIIpPps9sFacB8 XBMURx8CIcMRpQgbKvwy9TD2mhsG2epJwey7VFg3J9S9n5cCr34FfYm7TIVr I1unvx6ngKFl0JwgPxW8Bn0tdS0pUMxnvNe2ZgoOG6orBE1SoFJE8Wj8tim4 z1sxp9g2AgsLV7s/r0zC+uZW+vnpEXjMa/vPYHISfgTTOA9sHIX7w7sU/HMn IbrbQijiwijUHFZd9eTWJOw21QlUzB2FnBaX4S2fJ+COCZio+I/B+Nrnen9e ToBPxRkO9/QxUDZqNii8NwE29Tttv9WPQedwosOUxASchqWDwazjsO/Wr6H6 6nHY/W4TK4/5OPAuHc0c+z0GuyZbrJUVJuCI4NhNNZlR+LixfmBN+SQoSv3k 27l7FEyuFyyP9UyC1IbE1TUrI3A1d2QxdnoSvlekpA5UjoC6cM++qr1T8IUv Pqfz2ggU5rwfcbSdgs6jwvwHTCjgkR37oUqACrVBj/YZX6ZApuLVk0HSVOAX Z/H7KE6B5r33N1xSocJlQYtnvtPDoDNr++Uc2Qfz80zjT8+GYf1fTAuuoMLH cDXF62+HINApYXW1Hg1yDn5nit0bgsKTLx0tH9NA7YKaE3FuCKJbEj7OOtFg JNaDV4ptCE4HcQ56xdPgY6Xm26ANg2D/XWd87zQN1jwLk/Dg6ofgmM4oczs6 RH3ee620tg9um3LPtbrQ4ekU06rJtQ+6GEamW4PosH9Bcfb1uj5Q3s1zXySP DqvlLM4fXt0LTGkpM/c/dIif9THbR3TBn8c5D66Qcz+zqyD3ZWwXuBb9SnN/ xQDLzNmKjNtdcFVI5ECoOwMYPRc7Mmo7IepbvJJ0AgNoHx4tr43tgCAT52bV EQYkslo/UNLtADb5DbsFphkgsGi14d7mDtD9PTlW9Y8BcCmpUuZ1O8xIWsV8 3MkEuUK9SwaabdDx5EPUtAoTfCOWO8M42uBrxZdsrZtMOHFNTrSwqBWe9RQk ehgxQSSZ0hyxvxWyeC1/Wb9iQpXOcBvPYjNEZFf+25zIhNrd+ew/TzSC4cJH g0/LTFhuzS7kCm2A86kzrpxrCQiyU9FeZG0Arl8mHlo8BLSpl/VoNNeB9aaq 2XsCBOiPjPkum9QA57OivPPnCfg58mO8tLEauoxFLyupEMAW1Wusf6Iaup0f XdmhSYCewK9IcZYqGN7b7CR+j9xz658l7PatAPp754e77AlYdKXsr/hTDs0Z 1vrh7wjIdE+WULtdDhrbd9rMuBEQ4y71kU2kDM4H9jauDyDgtE5D3gnXUniq 2rWmKZQAymtbwUvMEph+fem4YRQBw/FONwWzi+FDuLnOUjIBIYe5V1F3FsO7 QiVFlgwCio2oR44uFsGFhqF1bTkETEua+Ri4FMD49VoWWjEBZRe/2cup5wM/ j5vo4QoCjG7k5Uxty4M92jSuM9Xk/dnzz9ujcuDtJu/F9iYCUs+dn2W3zwYv Z7OPe9oI8M4RuLnrVha80bq55iTpa6dKN4lvPZEJyZ5XdQ/3ELA+JmPmF3cG dPxz8ZrvIwCP1knkUtNg/oBJxOdBApKrTz14UJEKTB2vd+spBHA2fkni/p0E EwPalU/HSV8a/3BwLj4B3NI1dj+aJIAhdK8o704cOAQqKciSvmxW+tfy7pZY OE4hRHppBDiyyl+m/ogC73SFzqsMAoylpW/ovIyEZE5tlQgmAauNpaUe6YcB 648wpzLS53nCjJX+VQeC85f41wU/SZ/GEsLimB/oySjLupFcoGpyWLEqyBNU 2N5mHPlFwP3LDzL+Y3eGwQef6fGkDncoXMWb/ApUYpdGFkh9h3nVMDX4Pqwe uxfIR3LG2bok+hdFXfwjkcG1i9QRnC52fpZ2GPOc4xT9f79vlRiomXiHZZ8L xX1ITaXkBO/f7oFJCnf6uEkt0p81cUjQF99xpl8yIOPpd2s+EJsXgDuf59i5 kvGWFDutWtYIxdtT0abOZD78HYcO+81GYKnP5F5dMl8pO/atW09HoaDX/gA2 sh7R3ZoHnrnFoH3r2S4nsl4G1aeMijq+4i0h1eHuKQLW6vHiCH8C9vH7Za0h 622zcOPwmFkSxp2M0GIj+xF3NiMBc77h7ZRDNb0jBAgHrt0m45CKQ05iPM7D BJxxPt9uF5uGF1wbxTjJ/maePOURVZuOn67YCRqQ/Xc9eK4442cGzvFXznt0 E8DH0LJzkMvG8pwm5UetBNiy5/09qZeD5kH99bvJeVs10TjW4fgd3xYeOvOl jgDDybeMr3V56Mz/ie0IOa/t8YdfuusiEk+iP6tnkvPzOnQVz+lilPxhvic1 hYBa7vGfZc3FGKotWDSWQL6vXUp9YrYEY8IVjFtJLpLs/cu+Vq4cX2v82pnr SsC6+endG2rLMWWjkkSNEwFaHJO68zoVuMWcPSjtNQF3Q1x1bV5Vol97rDPr Y7I+7hoWq7EKvR/cK8+8QUDrQ+HzgjrVGCkZ8q5PjYBJM5aru+er0T+0PL5V iQCWPlV1n8O1aK8SoCohRcAYH5/p8+B6tI5Mexq9meSq47cCzko14Gh7QbEy BwENS+Y2vU0N+LuorKdghQlsjgeKClc3IaWpN28rnQn4/OMFcalmlDt1cMip lAmubntX/3jbjKtnFnXjc5jATFfWVmxsxnxhlwNhSUwY6v20xDBuQbtCmfk/ fkzwzos4RvFvRfWGils295lg4hypQ0y3I8FjTgkk9/OCh69LsHwHcrnUb637 yQD/AI5loQ8d2MKdWd9IYcDNuPGx+l2d6CCff1ClkgG2aj7CD8914VMzBvsu Nwa8Sq+5bOHWg/Nft/cJczHA9LPmlrzWHvxpfVX9xSIdympes/Tu6sXo//5W R1Hp8OXQCffQxF4UuMqUMq+iw4iG4smd1X3ouu3YJM2BDgLvPE1dFwfwwuYv PFF0GtgUXStEGEQtyZFuz24aFHZW7ap0HMR3cvZLmiRXxXJ4HvvCNoSzxuEl d8NpQJ2+vOGf2xAeiZt2dLlCA6GfTxRZfIeRs6TLRi6OCg3iZ8rdMofxbd39 iWBvKrzafjNpqW0YozWsQttfUiFN3XXuIy8F54dW32pRpwIzI+ewiR8FC3iO 58zOTYHJBxnfLo8R/J4h1/L35BQkanWdj/42gue3BOr9FJyCt8Z7TK/Wj+BG Yk6reP0UhGxS17nOOYrCYoK7fpJ8ou4kNfjz7SiG3Pk07W07Cew8nHJa5mPY 9bmvgj1hAor2hmqniU3gjfkLF3JnxyDBj702QXECReKoQkd7xqBjnUP/uzsT WD+lGuSOY7CBw1t/yGMCvQR8OpkuYxA2fNZYcHoCOz+WPTbcMwaxS0lzFcmT mBZ/TOs4jELjv3WhNeWTeMO/VeW3wCh4Grye/tY7ib4KD7eHso9C3JVh8W0c U/igxgvD6kfg+hX2Ih2DKcSUEAvzWyPg8S9pa8JGKhYrsd+6a0GBEF/rdSGC VLzuMK/gpUGBxYx3lIcyVDRy2HIjgeRPsYqP/dH6VBTtmSnymx8GdenTbHbp VFwY/g+vvx6G4ld1ej6qNAQ3MdnQD0MwUuBvrnWXhnEXo6j3HgzBGhPNqvnH NLzTe0eN9+IQGEVtXarzp6FlM2+TDOcQNETy1FYO0lBUVMhm4/ZBoBa2t408 oON+rq7x2q39oNtNbCt/Tkfq2ReFNxv6gO4SkfzMnY4G4jUR+R/6QMF+0exO Ch3pJxtOLS/0QoFy1ZWdM3TMsvxQ7NjXA9YrsUZSjxnYMmBIXw7sAoUnbr1X HBiosyzVt6LeBR5GYbzyngx8XTyV17e2C06VBbxwT2agsFUc2wGbTlAv2xHF Oc7AMCKUf4daB0i7dk+YqDHR69FEfMZCK9h8WPCIucXEOEE298BvrWDaeyQt /T4T/YvTbPXvtQLPcAXvmddMrHi2RTawrgWq4l1sxRKZaCq/f31WaDN83607 N53FxCqduMEcjWZY9Na+51zMRNzbpRvB1gyvllJ+iLYzcSaILij0qAmabBvW HVli4sbsZr21Txvg5DWm4nM2Al21PEUd+uqhzlzzj99GAg92zXnXn62H4Kvj 707tI7DHQYqVsrEO2l8VtVw9Q+Dp/67u2RJTDWLvU5X2XSRw2+4TbSc5q6HQ 5WR1oTqBbbFnvE9ZVMHmBqm6B3oEqinv6GmX+QGJQr4Br54T6H3pRYRRTTnk hw9H331DoMo69YF2mXI4YpMavvM9gR2q958c+loGOccGz27wIvCWgF+yi2Mp bDzW0nfhM4GBHfu6fKZL4FK9mbJ2MIGEZovhe70SaNI/+PxvNIH9xFSq6Mli +MYTddw9nsCnwbaMFA2EU53mMTPJBO4a2KQ1IVYE05Pbg89lEyh6XXZoiJIP V7w3bhXLIzBup9rG2MI8EN3rdoRaSCCLpaG0ckAupHzLlpsoJ3DkXWLgAdUc oIed4xepIlDet4XyUDQbvmluDpCrJTAof0TJa1UWjBnwBQs1EPjNUF4tuDcD 3qyPEBltInC3/20Ht6x00Di/WtqulcAh+tSDex5pkJVPrxppJ/DE+6iPQiap sKuNx0i2h8AL6ZaGzTJJsMc7w0Soj0B/ViXnflo8jDSmjo72E8gwSjSvCvsK 8ZtqW58Pku/vFzjopxEDtfHLkuNDBAqNaNYrrYmCW/kv2UUpBK5R5no4lB0B OvJZSgojBFJkDMVqWkKgdF5ldv8ogewHfcpSpANA0ENgI5XUM/2dJbYhPsDx UtXnzRiBz3Q2Bauv/gSbN+11pJP6xfEj/3nUOkH28z394uNkvZX3h5gfsIUy 3BB5ntTTJ7n4kphX4VPJVIMEqfP/rekXNXyI3SfH7v8i7xeQkO7o4X6DD8vN TFxInc77r9ZTyQXv1gh3/ibf7/ZysMLjlBeK+jFTpUldd9bCsLDbD2XPDcyr kfEn5L/fVWsdhE5V55NPkvn5OIlVpHOH4wd6Qssymb98R8Me6fZI5FduMfEj 66P1OyHphUA07juXZb16gECHKbelKItYfLzpw+/zZH0jnP7+TSqIwx2pGUxd sv5vTib6+XAkYuXwoMGlLgKnFN7mad5IxtOHpjQ3dBBY6umvxfiSgrcax37E kP2k+YSKJ8+nYkWNEG5pJuf19dLNuj3p+LRR/JQWOQ/gpxbXci4DW6FE2ZKc F2uW3Z5FJpmofjqaR7CCwK/KLOvPZGVjbqdHR0EJgSEPRz+29eRgVL+CrFgR gZbvKC4XWHIxqurDpBs5vz8dIxoqLuWj8osipysxBEodH8c//Yhq/vmz3yLI /qTJ+ai9LsZVN/Vbx8jz0hA5cdFtQwmGBFT97ibPl8HjOIOSQ6X4c0Ldte8F gWvv1ElwGZfj809WB/7YEHiq+sOjsN/lSAkrN6dZEFitL/uE16kCxzLC19+8 R+AR+ZJ/3yIqMfrij6caymS9/K8JvuyqQsrZb4cPkfuC+hwz9t2vRsszZ5r7 ZMnnP/qgEz1Tje++PV/6cZBAE/57u5Q21qLUsSEW5CSwxt/54+CZenzY+2ib bBkTPe0sJcabmrC7vUv7cy4TK5V5+99va8ZdiddP1KUwMd8m3XqTbjO2+6gT JcFMDFc9xzIy3ox9S5T2DismtoSJNT5abEGn7u736dtIbVU+2sbXjlOH5CvD OZmoeYCaTb3Xjj5dfg73/zGQ+0YXMfq1HScjbRLfjDHQmfuz7LsjHXiS8Pea SmOgWd/F5IcKnejM5mUTco6Bw7qm/k7XujF3at82xnEG7qb+Z6kV3I0VW1lj NgkxsKNHxZx1pBvN7iowO1gZ2JTTeHDMqgftquyHNEvo2JiYO1D2sRdFPL8k SkrScbVdZLNnYT8envRe18RPx+AY046y1QN48b7nzGluOu558Van+sIA/v37 ajRqioZHam8oXWoeQAPOyOtWITT8tuXv5R2UQfwXLnb3/F8qGpv75iguD6G4 R6m20hgVQ8qfCOjsHUafOgHka6LilbW3Qm/AMBpYf7t+M4aK223uLv17M4x6 /FJyNFUq5hht/sPNSkFWnbj9X/2nsN518Oi61SP4dCGEabNxEqsOrapeQx1F qQMWd+/NTWDlN3uWD2xjqCsXdPvowAQSs3NvGfvG8I9Whp1F8gTODGztvq81 hp2V02h7aQJFdVhH2cvG0OCL8pn21+MIXorY7zuOp+ZlMnsMx/HjndRdvt/G UfJ5XFnppXGM1DjiJ1Y1jpP1aWdObhtHyy0nbrIujqPIr7fvmxPH8MjdiLfn 9SaQj/cid3rzKEYEbqv+wz+JmzPD86azRjGqOdWjRHYSddkOyG0LGsVItU4z U41J3BSCyhsNRjFtpIap82YS90aLpBb9HMHrAyHZeX2TeJNKeX6GYwT3PV2/ QdVjCu+JSVn3iZJ109vksthDxbNVvxeM2YfxWDn17tGfVAy4267UPTqEXzkq 3RTYaIjalWzmkUM4Qt1+s+swDZfDBhqNdg7hvLrVja1vaKhexBZuxzGAwm+4 213/o6Phxb1jz8v6cT13o+x2cTo+i/91S+1VP3KnhHE8AzoqOYLzo5992LPT zS77Hh015CK7A9p6kf3CCR/BBDr6Julnsfp14/zdvKtfDzPwVaG2mY5KN9rr /857dIqBP5irT7qzdmPtjpQpdjUGzkRupDy36kJtz59yaWYMFLvLlx1wuRPF LRT3jnxloGG/oHPFqk6sVhc9qJDNwO/CM0sNOR14OkPjvEk5A6XGvgTYCZLn 5EiMivQQA9+ezhCVW2jDDdajunG8TPzS9idU+1sbvrue4+wpwMQPyjlXtO61 4a+6O7svHWEiq3faifm6VtS5qyh+VJmJg6yvKuvDWtCk4PdInS0TD6zyvy+v 0IQmmrfWHmpgosTDPaV/RhoxPD94+lcnE3ePqAZcVG1ExYyYCfdhJso+zzPV 52tA5+tBRVKzTBQpN1J6W1KLL77kBd/dTu7xIB5K5IFarGTfdj+Hj/R5SUnT QK8afPP1bMugKIFnqv6r2aJfjZ7mR+/GSBP4yFoyRO1fJd6qstm8+jrJJUfr HykZVWJItHP8qA6BOaP9invqKlB4JNclwIBAjSfSQQ8Dy1GoTvHfE3Jv/ha9 PTi6Uoam5Vn2weRevdSfVnD6fhk+7DAX8iX3rlPD+9aoY6Uof2888w/JQY+y FDqTAkrQL2TSw9CdvK78aW3Iv2JUfZdvFknu7dgZ0XX6vohrXXU3fCL3+oeu 29IpekXofCesVIHc+/UbbjKaDhZiwYMA3SKSiyzcefd+Ls7D0u0RQsdIDpJW Tjyq4JaLB8qvKgmnEWjTH79cdP07vvyxVnIqk8Ctz2Z+3aRmoTRr1e2RfAI7 V1VmP83MROGMBI+dSHIbz/oHNq9JH8s5ZbevlEC9LGY13+Y01N4nYRDxg6wf 26hYWE4KHtAOuLmzhtzrZVo8jZeSUTLgxx+DOgI5wup62vsTcP+HJ/KvSF/M m998INsyDjWvBfA/IDlJ+fSxgCessUjLfhYj2ELgcc97FZs+R+H8YmhFCumz Qkpcar77I7FlpdOei+SmgMtW4cs2oQhSCi2ypC//pos1xQcF4Jakg/nSnQSe h0ETSfRBO47zsuykj5tv9VG/+OMjtvk8uRzzP+0X/omVxwlFjlB/bu0mUKYg Z71KmjXu0eM7cJ3UsXiudkxUEtMuNM8YkTrHMnTlvNhjuJO8RuMCqU/bBrhb 1r+Fsdk1ZxbI531TEHwT4uQORQKG5S9IfdfRaLp2jw+s7fnb20DGYxgStvfg gj/s1pl0/kXGO8V7wV2/LQQKHLzrxsl8qIk+9lmdEfCjNCYusY3AzPv7w/gU o8D7AC/fGTJ/aU1fp4fpMdCv+d+xryRnjGnk+vnxxcHFJydG+xsJ3GF5x6XE IAEe1g7mrCPrKyp9Ybk6JgmCL0rocJL1bx/3YU2a/AYVG9uaKNUEruxW0Ur3 S4UCj+Rd3mT/ngVaOP/JTgNdr7ZTO0guyX3iv1e0Kx3uCH1WsCH73WzDFyH9 XxaYfxHtyyggucCMGrbtZDZ4rApx9MslOfaAz4EunRzY2jTDq0ZyitStGc7l kFwwXRrkOp9C4Opo1ae3Sc62uF/63CGRwFfCjZ+D+vNh8bLQuN9XAt9avxGI 2VMEvLOXas6FE+gV+CPKQgFB8TO7Wn8QyUUnJB2dDxdDi+GRMVXyu4BK4b0y pVoCaw2WjTLJ87IQXS3p61YGAs2e9/1tyXh4OKOK/yuHJn9lWaoVydUhzzJa 4stB7bbU9a1mJJeLru+I/lEBNwwdPzDJ75YFS7FJ+qoqcLHekpuvSGBW8w7x Y55V8OSnbE71KfK7Z8dNNa291aCd6H4mhdwPn4aHFE/J1UDZ1LZ9qw4QmMa7 8MvUsg7GrzbwlnAQKGyjzhq8XAeavvNO7qsILFKMloxxrQeuzltNRxaYOGC1 a59idAOEYIbovwkmXnOQ9280bQK7u4rb80kOOutRJVaZ2gRLxQ9ilPKYKMi8 vhg71wQ/TzWbJaQyUeU4dgu/bYbi6druvyFMvC53umhjQAtY/d4dUPyEiXO3 IsNOYRtkPIhOpO1k4ueY97G2HO3g1Hji1DIXE6NP0K08r7WD1a9B7uEVBm5J FfXUm2iHz6p7S/hIDmrjYY8w3tAJmjPNYS/I79wNjZwPCq92w9l3/xSLTzDw wuRDmaKgbnCVoteuCDPw6RaJLn9KN6TXJ//avI30m+KwplarHtiybO6U+ZuO c//FFxp86gXdOOLJRDodcycnd7/GfrBac1RKUJiO3NvLRLvXDMB518CquM10 DGXpvMh+aQCaLm+NZGWh4+C6psPtrQMwm+nxWbaHhjwl0RxyY4NQPMYsiXen YWiMfqrByhAU8cjrZU1RMYZNJXkj2wi8QP5K7XdT6K103v6ewAgkRC2H3rAg uYZ1ujsMRsApdn3xsZtTWL3L+1OV3QjQE35ovxebQsaZoOIR+giMdefsC2ue xAyngO07Gkbhjq5YXgLvJOoZ/PAvmxqF1eO6RsHLE6jZKql4jW0M8tblK5mN TaApW7/fXvkx+FLVJ5aSOYGS9et36seNQT9B4S3UmMAvf1uePX0xDonyaTrb 3o/jwy7NVZp+4/DVV6F7p9k4ituHv9mSMg6GkhuiVjTGsfTxxV5pyjjMxz+P fbxnHO9UdV3ZfGECVrZLnv2bPob+P2WPT3NOQl/n5T/fukbx5GpPI9vnUyDP paiTwj2C5taPeEW9p8AFnrfUEhTk+van91v8FDy1n+2paaSgadiGXUpd5PWJ DGMrDwq+zg2z9DhOhdET+34ZbaAg+8XJcnMKFd5UBprsXDOMdnzXFT3mqVB9 17H4KWUI7y7ypL3jokGRsFtfbvEQVlXYVM2coMHifxlSv14O4feZ+7bN72lQ /zPntcHkIC7ZKmXa7qNDWMEc65GCfpxivy09eYwOfX09um02/XgslK1ATJEO Y+X8C5eP9KO837D2URM67MtRysyI7EN946RO4RQ6hGcevWLl1IvFhgNO0ccY cE7+wA/2syTnFMQ8Uj7LANt9a96sWehCWe6+9CINBqDm3Ze9KV14IZr5i9+S AXYxV9Zt39OF1iqF+cUJDNj3oGKu6XcH7px2p1/ezoT4OsETWRFtaJjltNwo yATlMXPWvhttOJDyEkUkmBBlpfl4lKsN5/v/cakoM0HiwxAz+Fkr1uvJ9j55 yoSbiXL+aWotuPDvnL2bAxP01a+HTrO2YKCjkbKNOxPqJK+VbsttxirBzRwY yQTqpmOHNgs248enxz4eqGHCbrXNkRm0RkzacjyyqZUJlgO3LoZpNuKTzSF6 F/uZ0Ma57vStwgbsDrKNSiGYUDYPsRc/1eNEuEq96mYCjvn5n+c7XIu3tkd+ f/MfAfa/36kk+9Xg75ntY04CBIRw9JVvWa7GEynLzSzHCJC7dSPkUW0V9lav wQo1AtLcmRzm9yvxRkKftcN1Ar7/HMzuIrmnOmHf1o26BLzfOrNG8HgFPmFe mQx8QIC3QvS+WyT3ZBaGcgaaE7DhRVWBslEZBg7tnn5gTUDY0R3+/9WWYmfE m8nn9gRspQrFPPxcgnUhK5MFTgScFCuMoy8W42jJqHujCwHbUiRdNfWLcV2D UOR9HwKSNpzgydUqwgrTa6w0fwL8RXfRlvgLcT7Vgw4hBNwVr6/gpedjHfuU nE40AdNM65J6+1yUf7zVlz+OgMV0i/eWF7/jVXVT3e+JBMgsyvkQm3Nww8Po T3wp5O85DfJU+rLwMVe5sFY6ASK0yAaXmEzsYdu8Ry+LgNXJ41/izDOwN3uv pfR3AjSSlDkTpdPxe+KunTcLCXgRJ4xl3imo8M3b+AuS+fwZmjwulIzeP9tX k9/3MFsZ2WaXlYAmv3onYsoIyDJfdTBQieQgCmXL3QoChGeaPP06Y/B7pKUT tZIAVsctaY8fRKF21VVpxSoCJhb+HJNciMBnX8MOWlYTYFOW+ip/Syi6q6Tp PqwhgGNC8++YZABSxN9HH6wloNH1T1FQvA/SJjxvFZN6Vh7nLeU/ofVJkddi dQSkz5877yr8Dn+da95oQeq08/Fu/+15hmueXeNyJrX+7Njc4QItDIqPfmpL apFzlTIsrx8AhW1GVYHU9+R6FKbNXsP01ijvbvL5jyTYprVUnWFP7hVFFVKv dd6/iSPdEzYcrrnvR8Z3t9oiTlXBDzzW/vcnk4w/SsOx/klVIOySePU3gczP Vz/Xw+ZaGPBOGFvY/iDj+6pqL2IRCZVFTtr/kfXIi5rb+jwzCriCMnN8ygmw ZO/1TF+Igfr4jR4jpQSc0xdcrDsVBzymQ0McZL3HNPl1Kx0TYDgsOYWd7Af9 8bWC4KokmFSX+NddQIAkn4nQpQ0p8L1au9ExjwBl6Si1ibhUaPFQFVlD9peL bc2OLbVpYG7wkF2H7P/Qe9YZEUY6iByMtnQn5yU06Pg0y9Es2OfxYbVxElmP dqO95VezgdEuJL4jnoBNswpWJtY58NvY6s6/SALEvdxDNXNygWt3kPnxMAJa mOfe+nflwSZbi4MQREBRnUhU9kI+uBoa5fV4kf0+SqQ5niyC9E8pgaYfCXj5 xTvpsC6C+psFuWZnAk5FWP7TOlUM5ruO9gmQ52nQQ7Tf/04JOG+w0egyIeDz zBr55dAySEh1md9rSEBg1DZbf/FyMCu4/Vn+DgEm2rTFbYXloHc+on9JgwD5 ubrZ0t4KkPlZY+ctTQCfkMCBvO1VcJAlvNZLggDry1zSprFVcCft5q0HBwgo tXiVvSBZDWNR7prB5H75+nxoX6ZGDaw91tC8c5EJHteZqm9d6uDz3k6Vt5lM iDC9uPTzWRMMB59fcyiBCeVpgnYsFU3w4uLryOhwJqwScVv5zdMMcrk1DZyu TNjx4OkNr7hm+Lq6uCFalwlH5TmsX3a0wCqKm3uHOhOCbjg6pvC3wqGm23nd 55ng5l26WG7WCm9XHFM1xZiQ9tLmpt/qNrhHe8vHt8CAbxWnZVCsHezWH7ce oDFgz1r5xT9P2yHWjbXdYoABFutivDaVtINEiuZGjjIGOAdXWvVrdkD627PZ 210ZsJg0H9j6vBOad7DY5HIzYP9+/S2d2A3bYkcGo1bosCKrJVa9tgf6nleU 6RN0UFzfw+tzpQcYjWI62g2kn+3tikwa6IG/2esDjrvSYf295jDq316QfVIV lbtAg41j2lzHDw2A0dyzuYlxGhx/L8ljYTkAv/boPqG10kDiVCHfy6wB+JTO r/84mQa/tXfkrYVBwI116o53aLDj068EuugQ8LjqP637TgXFYcozNslheGr8 Zkt1NBXob5eaKVeH4RWXBecXTyp89+IcibMahoBAeDxlTAWJZ5bOzG/DMK4e d6h5KxXO7bxsrLOfAqWxtsTuB1OAH35sC9g2Ag9Krc/SNaZADYInGcdH4PKs W3bgySlIS2lhHtAYAYUBkeceG6dgz3mBpWtuI3BDPq9kKn0SZM6O9z78NwIR adF21r8n4OB22WMug6Pw2EhYTbJ/AhYERc9JLI7CbhdNmbbyCbjyx1U0f9sY ND1ub8r0mYCqt46dL1THwGWVctrSkQlgsJ/piM4dA4nP0qnlBuPgwhkwYOM+ Dsv/vVo5kD4KHE2ONft2TYLSujCWgs+j8KLJHt4fm4QUqd+fjr8YhYGnlq/r Lk4CZ47NcOu5UZhJKKb8tZ2EnEdGyv2tI2Dh/Yujr2USws39B48RFGi+RrX/ /HYKPvFpfzncQoGphOGpv/5TsPPEvOzmLAoMjaZfPZU8BXMqO157PafA4KGO DP3OKfgn4PXSeg0FKgeFSrcfpMLRhos1jC3D8K1+metgNRVEo7uznv0egqfK ZnNWfVSwSPzdx+gYAo85oVP+BBWMsyxf+AcOQfX5G+/teGkQNVivRt9D6mOZ mkF6NGhvdop+rTgA/ex112UYNIj0vaK2in0AtCJbVl3+RwON/SbWtyv7QdPo RIAsNx12RPa9ilLqB8NmXfEECTr0XE11tVDsg6UFl+gOKzp4dJipqcv3wFCZ U/4lBh1u8wtML852Q5LLpQCNZTowtu98+Ca5G9Lg9kuxDQyw2pz7mXdvN1xZ y7J4W4wBf2OHsl8ud8J+m5XzyQ8YwIjZt/Q3sxPuyvLVa9gy4Iv9hbfXzTph 1M41uvodA57ySHNG9nSA8H+K1GNfGLB5NFggLKsd0h/L2E91MaB3vc8HTjPy nG6pEhcZZwDbLY/oGwLtUC/k43RihgGRjf0VHp/aoOqgSV8tFxM2Z+2geRm1 AuuD9XztCkxYd8f+tczGZvD/ZCx4yZ/kuotRYu2lTbDHNy4jjuSu4aeHo7Vt m0DNoqG5K5EJ0qWTjw8VN8KyUdnzZCTvTxXmpd6tB+kL4SMiY0w4RnnEH19V BzmOxoo8TCZ8cEgl5CXqYOKSTGnNHKlFKszH/9WA3nBVV/pa0qeFDqjeCqqC SM7Nu9VECZBwsCrsYqkCLwicKzpM+tj6PUeOG/+AnS82u7FIkT4y4pZnf7wS TJLCsn+fIyDOuCr2SWAFhHVXysRfIoC7TEv2wko5xAevvyxO7m0hljd/PGvK wIlxaCH2NgHrv/IurJMog7kVnbch9wjYQZ29YOhXCpZVGk8NSF+AJw+fV+mV QKSP+ks9ksusChexZLwQ/vll79tD+sqFXd939ZUXwOm9tkcuuRPQu5J1qPlL PmRmnAtU9SR9fetOQ407ufBV6KFJJ8lhP91KXAdPfod43zWVt4MJKBE9bKC2 MwdeXxA1zSN9jm0mmr+tNRP65UZs50guWzd4goOZmgEWYU+627+S3PXYN4L5 MR0k/V48dksgoE2127jTNA36PryB7ckEKAacHIy/kAqKnKBgR/qu7ea9GxuV v8G3wYQHaWkEBLc7ouDqJPD8xyzCDALeKWS3aubHg5rvI4Vo0rf5lX5eNrL+ Ck/XFQ/fySHAWOzzAW3xGGhfyY4nSJ8fe3rUXGL8C5zQu+Vzg+SAzf/Mdk2H RUCn6lSITz7JDZP89+VSQiBGuqc8luSGR/3Ljyz2BQB3Yw+HJ8l9jA6dqx+8 fCBrY5PplSLSB80CD/OwfYJsuY7xUVIfDv/jQIw7Qe7w6VfqJIfIjsaoWXnZ QlZ/kLg3qQ8mDssWXrsOxpqx8/Gkfspb2bGn0QSdc3R7/Un9N6BWdVrQHpPL mV06pM5KmRrhTnVGulP5z9/k84ubpL1ZJjxRQuWV4H1S70g6KjFk44cXvxNW SWR82h1LPyLWBGF8yoH+KjJ+g9ND1+V9wpCiZ3k/n8wPYw897PCMxMGTp7md yPyfD3EJznVGYcmCSrdALhl/1yaNv3tj0d3TodKfrF/l94GZQaM4fHyCpZtC 1te9/AxndFIC0rUFtqzJJCAmhvExXzYFN/+qWVdN9uu01+jLNcWp+Obqjhoz sp8HWCUfbh1Jw50rn4vGyX5vutD8c2p/Jq6mbb1yO4YArfV3nZMuZ+GH676/ bn4hIFO3Q/uqeTbaaSt2iYUT8FAhMPZMBsnx9kEvrgeQ3PzttrBzey6am9me TfQlOdVgeTBxPg9/2c7f7vzfvP5N3/DuZCHaWad8TSfnu2g021H6dhEOs3UN 6ZPfHSObnp4seY3YOOHkNEFyVGG7iHzCUDH6B8UJPn1Kftckr3EQtyrB+fnK Q/ZWBFjoGz0MXFWKC8nfc+6YEfAhIkpqv0AZGrnj00h9AlaobF1cBhV4e3L6 jhR5Xu89G3tZs1yBKl/CD5mR5zki4EKsUWAl7lkT+s5KnoCdlqdKJZp+YOFO vw00cfI86uysXzlZg83l59KDNhLwdnfxWY+OGqzqPyCmxk5A7SXJvFnLWmyL 3ebTvMyEL3yN0woxdVh0xfS2Mp0JczKdJinrG7HIjd10vpIJM3slWtqiG/Fm iFDToUImyPxgNxrd24S3dcP9JDKYwMZ985Z7ThOqFVx7lRjGBEWxDrXwiWas fWTx/sETJvBVKLqanm3Db4ywmI1bmWDDZe8q97ENh5+JT6uvZcKlNX6vqZ1t GJ4/kWP4lwEZFvlPJs3acbCveO2qIQZodjDmrvh14Os3Y3Mb4xkgmPRFxmSw C6X0z4n5kN/tt7YrfVu9vxvTfVlk5wUYkDXe8tvashu396LQ4S0MmC7nlqOw 9KDwt6HFrTN0YOH+eLeVrxdZ4YBpdSodpvjXKaZc78df/705MSpIB59w9Ss6 Qf3Yb5IZ0rWJDsRZ8ZmegX60r0zeG7VCA/uoGfNrxgM4/+jhUF4PDUzkCnfs fTqIta48xn8+0cDjyyZe/Yoh9OG4kVhO+u+FD9Ly8uNDaDGrvmV/LxWoVbEb /7EP49SWceN7lVS4pb7ql6TyMOLm8GsGIVTwYbO+Z1o9jHMmHxOdlKgwqyC8 UF1JwQpjmyZbnyl4otlyemGMgqe10v8zeTkF226flOFiG8ENWUJ6kkakPrb0 su/sCLLcmNG/KTUFjdz5N/gLR/CJyMeDwx2TwKSuhG1NGsWPib+1126ahKCm i48fPR7HtTyWXVmm41Aj2Low7jaON+UTRDg0xsGusFDwXMw4vrCcdADpcZjr U+r90jmOv6SJseus41DPcLm4JDeBpxYLd4oHjcFs2CGRxcUJJGj3rkeVjsLS mTuFHlsm8dZY61vpr6Pgwzv3d82hSZQZb5xIdSO1bhPheXMShyi0iWuao6A5 6/b0UNYkcn3KybwzOgIOoh+Pa9yfwk/jnzy+rlDgnt/9i5QXUyjpOKMSQaHA Ss/TY1e9pjChTtDjTQUFXloDd0P+FJ4U/Cb7x5UCuwvWzx7jpmKiZ6Zm1VYK 8PvarQSmUDEy4JvVBqFh6CzrilxfRkXu2dXvPNmGgTvuocWtDioGWexyXR4f AsXbyvs9lqio0z+07nP8EKj9DNC7eoGGP9oHZSvEh4ASqjF9sIOGnjnbg+wN ByCASYvsmKRhYnfwaRe+AfDb/CxEa5GG7RbIbtTTD/sUiH9dfHR8KGwc6Hul H/gYdtYd9+mY41b9YlC6D36yX26LptPRe7L80FuWHrhnRbwOWKLjFq4rfwa/ dwPn+pxGPS4GToc/j9hm1Q0/h6dYTQ4xUI3v4kme4S5Q+aYres+YgXUO75NO I8lJHo+R0sHA0Pmqsnnrdjin3buPfZSBQVNjZ7cfaofUpYdViz8Z+CP1sN+2 4TZ4rugQfJuTiaEGF55lq7TB1ln5kwtyTHzpyRv7QaAVYloLspKUmKh+Oftg emcL8L5yGDp6lYnKbJc2Fbu3gO4h4VVpD5g4V8Xa+GGuGbabWH9+48NElTb2 yNaqJrjVUv0dQ5noXqheJfyqCYIEpdY2fWWi4vJR2p2jTWDs6EK7l8/EcMnZ ce7jjSCodElGa4iJVbH5zo7NdfD7iBff3ikmXmnhX0yVqYNPtnHFWdNMXMP8 k5ARXgu1svZLN1YT+H6v4EP5RzVwxW0/y11+AnWTtm21Ya+CXvc34RL7CTwu zG8V+/QHDN3syu08TKAHbwDl+3glKHCnyMefJHDykcBqp8oKMFFT8W09Q+BA 3jmJU1IVsLhbRLHtAoEbLtIe98WUg7/6YR/tawRuFHSSrnIqgwvc0vx92gT2 KsbLbZ8thSCho9QTdwhsvZGnqXqvFIxXNm0ye0Dg1DrbZqszJbBh9t7i8HMC NTTG9hgsFMKE/ZW4bfYEKq1XagvuKIBjsWvv8DsSmLu2tz4lIx8Ouv1s+O5K IK+XSqDZo1xI8ZB6o/iJwNd9vx7vuPQdFH88EYnzIlBhQDc8WiQHhnXvnyb8 CRToGVllOJgJL/imE1uDCJwd33omKD+D5JM9Sx9DCYwqFx/L9k+H7oh74nsj yOsu3E/yn6RBhYqVvNMXAg+9zLOIv5IKelsPixRHE/iEJ6B4jdY3eKGYO9Ec S2CD7YKPx8YkqNIyfZ0bR153kDecq4gHuZ9NE08TCIyJOyYv/+orHBrN5OdM IlDFoVPEUDIGDshvO/gkmcAjySpHrGhf4I2U+EraNwL/1LXfvf8lAp5fNA2v TCFQlhL38WN6CKgJP+VISyXz3+PcfZDkqNqso/JWaQT69z0sSPjoA5mC2VJr 0wnksJYMFpn7CM3tmn8ek1rt1ZRye5MT5Fj5v8kk9a9NJfq9N2zhXB801pI6 +lE9z9ARTXJ+lEe/k/rSfh+NhlemuI5JwReknlRU+BHvYo/fgp8bbCW17Exa wS6qM+YKpte9Jd9fHvfkT+haL3webbhSScbnyzEctzXID1WfxSwOkfEvnXfu eigWhJySxaVNZH4cO19bhhaF4cEYmRufyfyTX7Ina8RFYkhjTc5Rsj5J/nfw 5HQU3qGZTn0h68f17PAoh1wsftdXZEyR9f0l78ST+zYOpWuKKti/Ehi4I1BW qTYBt0TJrpSQ/bpr36bF1EnBUM499++S/VwVLhmyqiUVXS/dS24j+61ZrT43 +zsNW98r0k4FEChTk6fpqZCJqWpOU5J+BM6xFF45oZ+Fri8edrJ4E9hXv8xf 6JSNFauHff5zI7Bp5dJJi9rvmDVQbfPiA4Fr5odoPZO5aJZ8bjmDnNet3iE1 Quz5qMDfwZP0gsCaR+J3VE8Xok+d0deHtgSylFyWPUBylLuJ9Z/VTwjc5yjs 0W+HKBR3fPi7CYGqR0eWDLuLkTdy3qnTkMCLizLB9sYlGHFQf7Fej8C1FS1h jr9L0MDC4fnZ6wTe05j5d35TGbJ35r67dIrAA24RFwMvVKCxLJvDfhkCUy3X ytDaKnCPxJjzwFECDfplh/cZVGKSmuhgixC5H0y0vCRf/kCjUoXP/esIrJ+X +jb1rRoPsmuMvVxF4Ie2khxFkqtWHFI+zC4wsXdnZY/9jxpcIiwYZlQmbrqc HO42WIsn4lhuOVYzMa2Hx5OxoQGXGev1xouZ+E74eqNIYANytVZzCnxnYgBf ppeMUCNWrDQ6CsYy0fXoLrPp3U3IYy2kqP6GieudHBzCjzbjwP23P+yeMvGF n9wz36fNuCztqf7SjIlfeVNpj/ObkXedZQKXNhP7pF5NUs+34Os7m37piDMx 8tRoaOGNVvySq7/nigATt00v9c8GtWLH9o78XduZWHrlbP/mwVb0bedxP8PC RGHlkYJVxm2Yk9C9s6SJgSZ9hW8ibdpx23yoW6gpA49mzH4K/diJdmrUwnW6 DHQ42bsd2ztRRj39+wVVBkZsp78r2NOFQXK6+meOMPC50ra7F5O7EM4eXCUy TccLbe6nwmu6cfzUk3vVZnTkPafyq3+5F+vvfRV9qUPHjH4WO7dzfajoUyqz 5hIdr1XayW506cN3zkmJviJ0vOt4pcJrSz+emj9bldtPQ43InbHvRAbQO0pb Rfw8DW/wFhwa4R/C16lPGs5I0HBmivL68rkhvFsnZCC+m4Yn071lgw2HsHvk n7TrDBXvK/y352fsEJ749/Pf7QgqGuydOmB6cBgjL7TUuvyawn/Hvc5ai1Gw QOS2UL/dJL4QdPznsWsUldf3WBcaTOKhwI2S76VHUXOho/XV5UlkNxZu0b82 iowrtdLhuyfRcBd/dpXrKFaxcf01LpxA0YHT+zX+jOKqmzOrxBdInpL5+Fa8 YQwz7/+a2j00jv/6t1ibTI6hfOBoH7NyHG0GD/k7rx7Hq49kHsj6juN1Vv0p C6lxXJ0kW2gmPo7+jU84BkPGMU9CRdD01hjyLGzfKmA4gZOlWT6uMIZF+0+Y OrycwO9OBcc8hMZw7Y7KoRLfCdT7E+2qyBxFw4NmqWPlE2it2Odm+mYU1wf2 mGYJTiIvhTcgK3wEzV+l697qncTO0MRV12uHsZj16wPaUSoGr2Kxy0sYxn/1 RUYTF6i4uU7nxxrXYTz++XlD3m0qOtC0M5RJnt2YMa474UzFB1mZ2j5lQ3ja MKD5Wj8VJ8cEikpMB3Fjls/6O69p+OQMT4CWyCAWaNj4lHjRcHdYoV/h8AAK CbG7/40muYmQj17UGkDbCM2b9BoaBqv2ZV4+24+q5r9k67bSMeijflngxl78 OyoSYBhBR9Zo8x2GP3pQL/n06KY0Ot43MlNne9ODldM44V1Cx9lb2wQafnZj fF13CjeFjgMPU4zfNXWhwnmax/Q+BubFbmRudu5C+9myIVkJBlozLjY+hy4M PNwufB0YGGCeYtCb3IkO5eISa24z0FWUYzfduQMvfmqtP/OZgVcc3lZqQwce pMYq8UUzsIVx/GrU73YUeDe+qjGNgVukH7a16rej444lWnQdA5U/vF+VItOG hSinuZ88h9UqJ13Sh5qxoMXR/eUdJrLfudt9PKgZBfen3S8guWrLt9Pxodea MeXmIe3Wx0zULRA9L1bZhO4eupffv2di8kxNpL1mI65K4lu7kshEK7dsHr7K Brz5MuLwXCYT+yf+WPtJN2CUaM7a8kImZosm7ub8rx5ff50IH2lgYuM9c6Zo fw0atqqJHyWY2PX+GJevag3qWc5E980x0VK0T6C/sBqrom89vfOPiZpLSqc5 wqow6Vbyv1EuArc0bHw4oFuJfwKvBi+JEuiwRfH1hboKDMx/3H6T5KyzWgGB Picr8JiEI99HSZKDqqVmOneW47Gy3FKb06QPU9KdRNpL8FRVrpnaDZKbWHYf LDxXgq6CG1V0dAjU7nr2Uz69GN13BK0o3CXwqH5F/+89iBwuqdVOpG/sjj5/ 2+ZvIXn/bOvkIwLDiqwU6jsKcFhmNFDgMYHrLjFPc3nkociZ+LPbSe4Sb1C0 mTPNRYUbK/+1vCJQTEJLDJW+4/uYVUEGDgSWXUlU+rWchR1HX9utcSbQYv5G gV53JgY5nm7mJX3QV8K1Oy0zA1+eh6Klj6RvTU5LcD5Mw9J3v5Uv+5C+yf3t 9RalVLQwKRxMJ301h7lwgvvsN6S4UZb/x2Xv1nbyNc0nYmffi4jVJJc9OHG6 0Sw5HpcfdpdTgwlc2ZOmPWnwFU3NnB7Ekb69ka+pSXFHDLZIg8vJcPL6IVMV 5/oveEeDTTia9HmVWPOh9LcRePHBejlKJIGXn3Sc87IIwb23sPI3yQUbLLlV Arv9MV+yqnogikC5EdY1Tud8cEma/WwoyXXGSrFiKbc+4vZO78NHYwh0plno SB52wuzc4k9BpOb+x9J2gfUp5hbsMugmtY6B/9AXdVXM+vUgjkHqkld/OY/d eQTbo2P1O0ntvdfDiPPGG3iexiEfQGqz9IGhR5ouIMkzICFB6lsrSQnXD3jB K6XS0+Hk+6U6f3npxPnBmQwXszEyPpXsjo6zokHw210+azWp1c13JrDFhsGe oe2758n8nopr7b3iHQkhHz9+KSXzzzIf1nNsjoJE5fOXjMj6rGUYpIfwxEKk 73beQbJ+9mE5hwOuxMGj0u1sEiEE3scRxuNPCVDBcNmtTdZfxXM7x8H6JNjz d+K2FslF01syAvPWp8ANj6Fa8c/k7yej+3hiUmH/Ni2TXrK/e3yM2SVH0kFU +RoUkBxuzOWUt291JlAMv74myPmgyJlRf+3Lgkuq2xYXyPlJu6Q3c+ZODuT1 C+X7viX7oRo3kf/yOxAqMmuFSe6vYlX4xBucC3851SLdSW66ceXjQYPOfDj9 MaFlmOSkuJpe+au/CyAin8O60YLAjLfhcru3FEHnSrCt70MC7ThHdu4WLQYH rrr8aAMCOTs+jBzXLwVxq+mhATUC5y/ssrAnSkF/luek80UCayn2h9NflYHa v8ADHOfJeU7kNK0JLIf1lmNDXiQ3uSvVlqc1VcJt/YxPyEfOy3jKgMCdHzDa s1pfZCeBxSxBj21oPyB0aYXdaDOB200eHC5gq4ZjGxymTdYQeG7Sal2BTC1k nDU87zPORO/Q36zCFbXQfvJFdu4AEzPPJlSb/F+F5h1N9f/HcSNJJaNhJKMo RBKF0EshlcoIZX4RSSUjkdWgZGVlS8kWMouIt5nsPXKJ6xoX934+VEZZv8/v z+c57885r/16vM756LVCC6PPhbJ+DF0P5Bn1s2+D7Wfkl1S/YcjFtvfeVGwH hI4ZZd9LJbhF2bn5JnFXyrBnJlkZYajqjM1tkbPdEHrDrEVaG0NZgrJ764K7 QVk+dr4FMMTvSekrEO6BwT+Rdo/FMWQsLBgrcbEX5h3iGaqW6Uio6UqrdFQ/ LHOfDyp7RXCOyHDk8nA/CL+e/pX7hI4KRWPs3ooNAGldO8jVmY5KdMH32ecB WG4Lf+NjQEcDxqruEf2DIGSlVe3BS0fBEZvzjzhIoJ7jevdYHA396vt8fcyQ BKVnmJ9bvqQhT88rjIJvSGBSnXzezo2GWLTCXfjFh+Hpoz+yv6/RkKHetOzO MyOguaPRn5Wdhj7sCj/kbjUK0wYZUqfd59DypV+aXOmjkK6SlFB3cw6ZeyQI eVFHoSa13PGQ7hyqdamWsVAYg5pf9xtvic+hgBdFK65fx+Dw+XTfzf5Z5GBR n9NaQ4bugpLUKKlZdLIoeHxolAzbdaPZdvLOorreFZOudTKMqdrSLJmJ/R5u 6eKmNA7vyF0xqT9mkJNyJv1N/jgoOtYGhT2fQfdfc+5WiqWAMHIk8/dSUfeO TJ4vxRSgj1y97l5JRSkzh38LdlKgTMJ2X3EGFcVKd8clbpuAVN4rM98fURGr IFeIwaMJaOhlVXbeT0WBqhoLafqT8HHuKrnDZBo9qZTkdXaYhIMiFx7InJtG y9+W2oQDJqEldV3TSWIaNbteMJasnARqsoRszPIUMkmzExgXmwLZDclqt8gp pPFATu3bwhRo5jvoZtVOolUZQb9HLlSIOzmRWsM+gQ4aTDFaBlPB/Gnfs2M4 BbnNU9RF0qiwwnrPxbuTghwOCDw63keFRNrmpa+RFGT9e8bb5+QMfJa+Kdy1 l4ImmbISCrEZuN/1QsJz3zjiXX/VeYhlFnQFbJg4lsioIaH4icP+WchJL2cI 6COjcytfkb/WLPBqJyseiSKjtpasXW1Js6DGekVSmJOMSgpe/g0+NwdNEq81 JZjHkHbM2P5bRnMgsdYgIls7iuS64nP33pkDzNXgyU+fUTTHYfvuT/gcOLzk Ucr88xPd/+7x/OPwHDx8F2G2NjqC7FO2/1u5S4Nn726t7/5IQmZu/VoCPjQI 2X/Pl8uOhC5z2SjvDqWBldy7mAkhEmJ7s/DBK58GwQd3iLNHDKFWT9URuXka xFd4HHB1/oFeUtk2j9rTgXm5NXJVcgAdX9gIUHanw4jI9dcj4/3IGsWPCL6g A3nB0CUpoZ/gq6NRlsl0UHzg7VPG1o9EVpSY23vpoFDUm2831YtYkrbleZDp ILDIFKSR1Iu4vvL6rdDpYDx1IofJoBcJ36q3d9yKgXekhadoTQ8aMPQWVzuJ Qf1eTrPtCd3owIdiJT81DLJrZH3WdbpRcUrsTJw2BiO8BsZ9LN2IwzqNomyF wYc7ZZvyzl3o8Ya7n0UQBtFjdkrV5zvRuPNos3wUBl6ZuS3Nyx2IZdxafiQJ A97WvphJqw50eylEPq0AA2e2LNbwk+1oxPfYbbZeDBquOK12DrWgIgtDVcdh DKaLhkJK1VuQxt7TTRkTGBinBr19mNuMts4X9gb9waCEzbbdy6cJZTfVPxTj xsGkVOVM04FGZGhjUc7Dh4Nar/nH5y++oRmRIlOSEA6huxsrBOkNKP1lSUi/ FA4jKv1qvyrqUUlxfnKiBg7OouMbMjdq0akfFTU8l3CIdiRZ/62qQdwK/5Zs dHBYZX/8KkusBnn4MjxxMcaB5cyuJPdJhA79Xqg9YYGD4EVTa/WiKqRfdnu9 zhqH1LHFSfLjSmQ6pKZsfBeHrWlbzN7yVKC21U1Zc0ccxKJ3zSDKFxTAzrD1 xAMcTiuE2Ffkl6GHdS9lrnri0Db+0ltL6zMSjE3xjPbBYX7YJIfE/QldbhIN zXuKw8S65la9n8VIWyV8TccfB9oVLq8p10KkneghUBCAw66AzZQmgwJUvjDL Mx2Eg2SZpM5x+4/EvcdL+xOCw03NLMZM8VxUu+d+zI9QHB7lfrjybzobVdgF 7YkOx4FuGHFIOjMT7WtQtzkSicMrzYkH526lo78V6X7hr3HIP6sroyqWig7H LTh1RuHAx5x6XngiGYnavJWcjsaB+inUcEQzCYnO3cjvjcGBucI33qguDkWX M2/ExeJgzmeoXKQWhZ4dKt0rH4dD3FLpaZpXGIpUrllMJ3SsMLeGrps/GhtJ T8IIrWz3Ml+R7IlccwTZd8XjkIvQnFOOFXq8Y7/GFkLvqv4tH3HXGvSPVp/r It4f1Di9fOKsF+zduM32kNBXU4WDFTL84aBKRhzBiZAcOvy5KCcM5KzPLKgR 2l2dPenJjSg4UyC9x56wt25NLmsbKQ62iWcw3Sb8aa/pTrhvngRewRxVqoS/ w9EvmvrwZMg1Yb0wS8RHbzRxYPh4KqR0WaY4RODQ0f7Xv8k5HQYnRTsaw3A4 xc81HVeUCY7qkZ0rr3CwcvZivfA7G8QuHchmIPIRf21juUcuFzbYnExHA3Fo nQj9ruT6EYrhzmzUSxyA/EFD2aQArLXGPjz3JeonITlUPqEIFtuOUKqe4BBy nx6ws7wY3CU/snR6E/2g2y7Q/KME2m+b8bm74eCjryg/z1sK54rWuNmJemty iWkyVCyDqOhWVk+iHm+4nhJIvP4FvFIUlwbtCH8UCgVRdAX8lv37t/kmDsEx ZeSEkq8QxneCPeo/HC5QLAJ0eyrBX/P9oxwjHBQuPO0V2VYNPgePsc+fw+E9 n40Mp0YtJPv+kU9UxYFpn96Jru5aKE5teHtAEQdFZ1t9D6s6OKJXb5hF9OMR nX+M3o/rYeXdA4n+3TiwKhxtP1X6DfS4zBRV2HH4tLP5toBmI7D1SzR5bMVB 6qyIAaW7EVQ/6kR5rWBA10hU4sa+w/YSjYGEIQxiT7pwjR1sAYXqU67c3Riw OlRAQkULaAlqdpk0YbAZjflKGLSCc/pvRotSDGwHO5PrnrdB9BBnk0wEBgoN pM+tlA4Yq7KeP/YSAwFmX+Zg1U7g5XynvemNQeKsVeS+wE5wqNwzsvs2BtdG XKPHhLogjkf71C4VDELDIFzucjfwXtNtiDuOwX63zVam2G74kb3GviiKgQr9 tdEncjcsYk57DrFjwB5yz7/WrQdYg7Q3jEh0iPtP8afTu16Imyt1knGkw/gL 4VPls/0QseCZ/NOSDus481qA3ACcGzBottSnw+/TNuty3gMgn0m3/SlPh9Ea 80UB9kGoJwlCzTINgnaMxh+T/gEDRpP3Tj+kwXY8x2XelgQMiQ8vi9rQINTN UlknlwQLrn454/o0cEoxsvX7RQKfG1n6IzI0WPPbInPn8TDMB4Wotk3PQaHP r0mxqBGwGjUSKdCZA3vrOvG/n0fBYaqLT011Dk6B9w6mpVEQb7xVnCM5B0wh 51md+Meg4DWS3scyB3xy+3azG4+B53vqFuWyWbDTy6880zcGbpFbt5F4ZuHf nzY1syYyKAWMSMgyz0KDvdFFt2kysLGtRtgQfLBoE677iGUcNi7Wpd2snwHz 1bVyubPjgDLzaQ33Z8CgeF+GX+k4dKrUmslXUqG93fKh7TsK6IdbGN/LoEJC v/osrYICBib1jn5hVBBPCaQZD1JgzZBqo2NFBRnHZMYJzgnQGtrot2KmgoWe v27J0wloOcCXGHJ2Ghqt5NnFTCchMtjl/FjGJJSW5fFr/5uCpejZ6OqQScju uK5VzT0Nt9/803jhMgks403VPEen4cervRe/qk6CEYfJAQfTaQgb1Eqd6J6A C96TAh/Lp6EvxYGsskKBn96vi+8/oALf+QOXHgxT4Nt/4lb/Aqmgl/j9THg1 BVT5wz1vJVOBvFhl+jiAAp8VOR+PtlLBd/fCDRkeClgO6OTpic7As+RX97cc Hwe9yYeWgm0zoM/IkV/CPQ5tb5TzUskzAHNB368skkGR43Ee69IMoPbRA8rl ZIgzE7e8KzgL1VE3vbeqk+HF4KXKtw6z8GCTvfyZ7hiEil397x2RR56kgudd smNQoXVhyxbeOeCQ+hW5c/cYeLOqdGgSeS8x95IN+jBK8PpXD8urcxDuDhcC Cn+CgOzHJDxqDm5OC347XTYMrKukBKv9NCh1Wmn45zIM3YrS/DQpGizH/pgL kx4G1xdcv7TP0GB6/fJV5RQSsOUdVg+2pMH70G1r7wOH4ArX1ySWVBpgeq7y O/UGwamnOa1HiA4pg5UWumyDcMs5ZTnzGB1ILznMnWoG4E04o5CuKh0GzMUD NWUHoEXd8vV+EzqI0kwidTn6YcLw9Zc3EXRQkinIvtjQA+enFzhPrdBBQkv0 +WOvHhCZXKWqbsHgy1Y2nhjZHlA4Y2DAy4kBNb5QzDGpGzLb/iRpHMHgT1uB VN+DLvjBKbXf4xoGb+VSOaQkuiCBczN7twUGBcesj9n/7IToHGnNp8Qc2SWH UWIvdIJJwEXrDmLOmLJvO56p0A5Fn+9HqqcSHKbF79uV3AZcZ4+O3MvFYCi7 17aDrQ3YCPiw+0TMLXcX14ukFqjFAzm7v2Fwuud9hY53EyhN5r50n8ZgeIt9 hszEd5jkEhKSwjFo6Qu9Mqv9HZy0bswULmFwnj/vzm/+RuCPMJs5zoLD38J2 oful9TDqNuSwSnBU1T3GbG/xeoi5qyzQIYbDi6TlVaf4OmCc56vzOEq872Ze YPeqhYaQXSPXTuGwzcJoZ9lcDRwx2nHOTxmHck8K5ZJZDSQduuYXqEbsxTse FdKq1cDFPPmUn+CuyUzLuxsmCJ5pNR5Pv4qDxL6V6kfKVcDAIpa29RoOLi65 nn9XK4AWNlh1xRSHorvNvUzD5RDI7WEqR+ylfhlO75mKL+DoL5mBExx2sJIj 2cCrFLpFc0/Q7HHYySa7Z9jkM7TZeN6VcsAhS1Wz/vzpT5DVaqim7oSD9TNL qRi+EqCkaeYdJ/akNkv595aVIgirevnxz0McSBwf9s4MFILQo3C1sEc4bLJm heGfC2CpZrslgxcOi0/d/nnN5MJCOafyLWIvn0qP7OXK/AAuF5kXTJ7hwLUv A3thkwVcx05KHPbD4Zj4m3MkkQw46GBNbnxO7Pl5/+Y9o6lwvsiHR43gOtPr iU9PvnkPv/ULmkIJDgiwMKl6WvQWmnVNlooJzhsPMapxkkqASFPuN/kEN/As ndpUy4iGte70L88I7rubKu2wLBQB7N95r0oG42B0YB+jvFwg6G6k38gm9P7g e+bmh5/CJ1rV4Aahj5eK25Ns74FM1Y52SYJLJLZ49Ckp6KCt+ncVpQltc41J NZfBDY0q/+bZSui8/MtVouzP0Ys6/N4n4ntjr8WIHr5XyHKCoqBM6FD8wfWj u1+jzMuBHrGEPQ13b+/Vi49Fl806TzQT9jL87Gc3FHqD0g6N2fQQ/pSsLqXH 6SejMqt9XMWEvycOBdEdo1PQf76sSvZEPLhZH92UHkwj7qrHPxeJeI2GlrK3 82ciFQcfZmMinp4Gdr+ummejPmOVD5FEvHVCunjy3uWgv3aSfSlEPlR+OT6f JOehahW6fyDB1ftJ7u/+cRWgWF6r2vNE/qYK+TNpJwqRaU9c0BCR38hbBWaN 14qQzODIuAbBUa6eVPVA12LEIlLQ/oKoD2/PzM9fP31CY7vZnYKJehJZU7l0 tP8z6tHJkta9g4PvfLSQ11IpqqcuhM7dIuJffvt92alypOmzTSeDqNfgIqOA Z5+qUAv9gb4UcWdwaO0XUFxCKKh79s4Boh+MzXaWmCVWo6pL9cdIxJ0ybPtv JZBUg6qZGIa/KuFw+GxukKtXLQrjnxwYk8Ph+jqThdr+OrTj+om0Lmnibui/ VOhuUo9uMGb284kQXO8fK0b+W4/SGRb0nPmJ+Map1x+Jb0AuotTG6N3//6+e fPfCwDdkyf+1S5Po/5HU3NFyvSbEPWpQoD5FcJQsRXgBb0I1eTz6W35ikGsp a7/2qhl591bqR/Zh4MDzkCm0qQXdilnL2ldPzMfbgRzPzrSjA1v+06x9i8Hi tqRc67AuJBN2R7r4EgakzKn4meEu1CU1x6AHGFhttjJfk+xGnI0dSpVyGCD9 Xr2W+m50KyJWnFEAg4v2kQwaKz1o3ui9mNIsHdLWT612avSi/Xovr1weoYOO v/tTlYhelCmb732skw4mVvUn8yT60Onxj1qWn+hw07AubfpGP1ocMmLy9qGD QRzDZdO0fjRayNjLRnCWmXpmfDbej97zjVrbEZz1/VXg6d4XA6gkjoMv8hwd ksrIwgYFg4iyHvM2awsd3pxgCAj7N4g4sX+7Sv/QALi+Vr/X+IHud1zcGjNB A7PhsJoLgz/Q8gn9Pw11NGCViokdFhlCf6MPivAU0yBHjtdU8+4QStffcVYp hQZ8eypf+5YMIZntPxylImjgX/ig6fX6EHLTT2+af0KD/wESXNyL "]]}}, GraphicsComplexBox[CompressedData[" 1:eJwUl3c8lf8bxlsUklCi0EBL0rBHdxTREFJJFMloSCkyM6KByh4lsrNnNre9 93bszRnPQ+urQb/zO/+c1/nj+Tyvc3+u67rf1+5b1rpma1atWvWQZdWq/3+H hf//04C9sQ+V2fsmsXq44vx+2Ti4Ln1tNjdvGDVTr35LP9AObzfmbjEvbMWf khaXbML6gY/18657W/xhUGRoMxvvIDgn58zKLHWCgprbeT6XHshUYdvwsncC zl4t903kq4D6XOPPmcrzIBDx3mTj32rs9ihvlmynAXes1psgx2H8usqs2KVq HrjjbEgTuRlM83/dYBQxBes8Y3kTSRr6UwW+fTg0ACtxrAncQQTWPu8Syhct g52EzRq9pwSapllv7GGrwZtp0g9NjWn4fpqBpwSG8VTU3lHuf9MY9CLlkNHC NKKC5kttliHkVq8/fKCJhuKcnmGLm6vw2cpqoe+tBOYJvRbSlKsAwZ8m1lo0 AqXYNZLVHw1Cv6LU0/StdKwd/fdZ4+I0jL2cEXg/P4MXj4sYBdjQIK9DN2Hp 0AimmiaeMG0g4Gz0RceN8XV4obej1E2ahIcROfv03hTCZNmK3s9MOphRrqau OA+A6ele10dVs0DUBClr+UzBpAX/8RxyDB5V2r/LdKCCs/zNwqXONtgcnvFx /X0CNstfNcnXjcGVw+abadYkmEe9/SFZ2YOl873WzS8ZsF2K+0D67UmULw3k r2+eg63mG6WoqfP4aW7n1XbFCYhSu/42kYtA4WVqz0xnJ4zwV0ibuZPYnqKw RO33BG4J6X3c2gS6rZEU5lPswFNO24dOyFKx8ZvmVIbrOO4uvOt+Z/sUTjEe XNypMYcPs/YwZCT6cKjxbNYuXQZWfz1+J+pLLmoLeYel3CfxWE5F+ObuBugP 8XpgM0zgmPlZF2HNUfDjP6POd4uGTnvPnvAbnoG7skdO/86fxoETneNXn9Hh gZHYSRW2Qfz4MCJ39ykSKg9smJmKL8eTh4NDbMVI0Od5Ey9RWwW9uk1sz7fR YU8Ox4Jw4hCgzePHzjgD18Oq9s/2TENzb6eqgfIomDtSW/xMaTDPsS5tf0cD NHIJBrMOEsAh6su+/s4XLPjkbB9tSUJY6fXQR3sGkN90/4DLLB1u35+L73uR g2OKd3Xv+YxjqT77sFRCFfAIENd3r/Si3qGex1vW9ICe+pTEubFSLAxcw/kr iQIjGdHuZm1VoCVqwnPTagDMa44FFSQPgduGL1xOiW3wtevGwNbHM9B8gfwv 5rYnmsZGpQeJ0UAjMFVrh3Q3Xj+9RsVUiwa8lnK7OnIn8KJMaYiG5yzERDwq drWax5c6tJ79A2NQpmWW6hnOQAtXrXTbd+0wy3WwunuQQKX4JivxVWGopnmh ds85BoZoJ/k82dSNLx5LKXL+nMNwrUitz48msDyGW2Wr8gR2KQwLUiXnkdLz J/fj2i708y4eEE1moN/gWNBRrmfoUVZYKniMxAn3BQfNk52gs0omS3SMgQGx cSbzueNwbvCK8pO6eTy++mIqZ9YcvL3sOTF9YhJdl8TaDjoywPdQWEuPag+m v8v7+lmPhOs7Ho6v+xuPWnLef7fpEcC75wWLkkg7JB5ZK7b8nApnz7HoeXaN gVXIStJVvynws/p0hVYxC6mH5BuWjg9AgYTFrSMtdNg2O3PfwrsYFPlisk8z dUK4VbT+uVaPH9dLnskfIUDq25xjQOwIbpi5yCLnSoOXvcl35mtmULz69R7H smk4c/Pc/kOydKTHXGabWB6Ek7dXC9KFSDTvyL3yO6MKJDVp81sVSWwSyWY5 WV6Om69Je7+IoOPQ9Vq/4AcU3O932WvRYhbHDMWiFgSn0dC67IAdxxjebRg7 qClCw29yOvG3k5txxx3TPyq5BLYvWtW6qmXAPaST7+1JfG9Tw//mZi+o/hs3 /uPEQHXZy8d7bSeh06ciZLF9DhXfdqqWrKbCIS/O6DN948hd3/dpWZkAnefr Nx6Z7sDcHfaCPa9I6DXIyXur9RqcW7lh2zIDriQtViV7dMEN7d1WkD0PwrtV m1nOTMCWBo42mVuTUG2+2dNtZA5KfETEOvV7oYDl4383nBjgPpt+5otvOtw/ POWt9ZQEzgOaqqzTrdj0MS9c+h0B7ZOFx2P8K1AlX7I+sXQC7+pLJCvvLoSl 2ZT16+0peOSwQ9CLok4IWys3Uri6Dln8JXPqOgfg5qS5RELVF1jD3qsb94oC RQ2rNzcN98Fh4XJttYlOUFSIEHArnoITziJLobqZ0H1GMXFGnwr7LYnO+opW 3JqZkvUymwYJLzWNNteOYZSrikF30RzQB2++1pybxUP7m71/NE/Ahhv37+2m 0HGNhkd/KtENfY2riNctBMrOy7DvVvgMfHt4zuT8YiDvRZVz1imteDFq7/5K ZSrK3yz+HeM9hmu8mmvrDk8hu0HuPuvYWVwcf7+gFNqHvMaC5ZoddPzobfun lysX3/aMalduJdHW9vvrD4uNEGyb7C35jMB4K/d3V56Pwh2jpXiz1TRs4T7+ gcozC1Z3NqG32DRuOxzs88WXDqklql0nmgcwsKymRlGUhPa+iGEzuVIsib6R 6DxMgPfXdSYWYbUgPXvyWWUaDYqjHrIHJAyDeH9aepHcDBjodPo+kZ6BUcVX M37RwyCleL1rqYAGC7pcsx2DtVDPUv2lik7A+XM6h1NYSnGyTt/U+CQJGhtZ W/aeoaB0lk9LcDgdvP6Lm30sMo2vezUJjcuz8CmNJnBkPQ054z891z84Blv3 /lkYTCHQXPbPhS9lzVCp95/iPxsSiwnrmtBf6bj+6tyzE28YmPK3ihya7kE+ zZ6Ma2Nz+KP+9dy165N4LtCLx3H3BC7wh9pxNM7jsTMP0ra3dqJz1EoAOz+B I+IpR4OueuJangSduJcknlNx/5qc3QG/o0WuuJ0mUPyBWBdn+Dhc2JWoaC5O RV6TqnNnn89BteEB7vdMXtny7vnk9BMGHI5W8U9+1YtC16w2SzuRUORrb+Z+ PB1Pzph8c00iINIrYaLauQUeN6b+s/2PCtdffpUO1B8DqiWrV6zwNKBi1z23 O7PQ8v2Y/IUxCny8zG34yYsOYkG/PqyuLQcl8/1fjgEJ6q7a4o9GqvGNq5zU MT4SNoyU/jPI9EfNr/eUOE+OYXK05b+LKo2Q8ZBS0qPZhW7X5gUVfjH99T2y mjycjI6xJxLpfIOgeSOOvZ/SDDNVmk2pZX0g1LR5clXCGOiusOcWFtbDs6+n TH/9mIXdUnQZ5215GLelfY1VDA14QtcqWdD7cdtsYtdIIhUq3f2kPF5M4SAf cdJHZAboZpxF9Boq+nyp5Vn0HgYXWAzdIEHgJQEdB0K8Hs4mecislBFIX9ya UMlfgFoyjteG79PxsoSgxuPEfkw7pDCwy2cWaY8YMjwwhSYcU19PSzDz7EKh 45lAKh5iDdm7JbYZQyjqepf0CBQ6prpxD9Ov7vq6dosiJO7/WqZJp/ZCYLaL lyQPA8+8+6sT/24SWhvnL7+9M4ffTp5q2LSPCt8PGLTXyI2j/v34LzbyBPwO U2bpCG3HyA+RNvcMSCgR3iDfeeQjvF+cjDz2ngFXt7jJZI11w/aTFbfUpedh +43IJMuSCbgaFSQQwvR9OP/jj0GH58HxbvSVhshuqMF4C5ZcBnisu/1ox4MY 2C3cwruZyUt7j7q3irN0oMLFd0d8zxGQLX35dIjlONYb2SeeU6DCpR3RWTma c2jh9o81lH0KinJ01cIVGDgyy9BFxz5IeTLprmBGokyvMGXnxi/Q76bOtjhA 4PJROfbtqQ1oL7R4V9OVho3u7Y+xdQRvn3RkTLVNY2zM6h1ExQz6ee6X+Zo/ iJQDFl2Hdej4Eogq9KtC4fmwwL9iJJoNnL09N1wO0mfYHeqARIdxHfan8xQw yY8Z8fKiowm9R+mo3DQ0vpTQu6c3i8Rzo/0Dl2ngN3dYPOHJKD4dFzhi0k+A rN7p71XnGzG1zlFY4T4Jyd2KG5/d+QLlWvYH+HczgCJNtZve1w/m81pS0Zpz oMraEWQoOAU34daT9b7j4O6fZWtxjArhp2vUVNI74GqEnsaAKgFJrFt87nx4 hZ2XBG1svEhYbrBWyr3ejW+WNGS8uxnQWb62ZfJtDW6j2OjdvzCJYYdE/ggV ZMEL6wfbWoWH8M/Xc/q9jh0wxiErJTLfiAH8wR1vVAbAbccDWZKRBJs/CzQm j1LAVmT/9Z/3e+BK1/KGuBPdkObmLiTROgmW26ffbzYvBGJx0H+hex5ueD93 jh5rQOEmgRnzRhp821e52ub1KFr2XW/YozYPXv++nvDcOovlgbGhroWTQGup Pyhzl47HeIwKlXn6QLIgJfpYHoH13zlsj4sx71Pq41jWCQL5JPmvpI42YP7I XfO2LiqOfefvSRYcRaPldCWtHdPowmFd4dc6g7aBeifudg3gkQTibP0lOm6K qbJdJVyKtNQPvIn/ESi4Kl9OTaAW6nLi6qhFBO5Vl1eycB0GU2ddEX0/Gr44 8etpFDPH9bSp3ts2zuDh6+XCO1noYDkp8mrXmiF81ZzzcetfAp585d22IFKF +dWPEr5wMf1x+8madTkVUBJPyVGXosPqqIYsv5BB+HN0g9bC6ln4JRnQ+9V0 Gn69yqWP1o6CXZnn3AdhGnzqPrsiYNgEgVnhX2OzCFAcYiXUd+SgyK198dY3 SNhE2eN7na0ff1bH3z/Px4DnKRJ3bc9Modqq7pubt86B8duucNWbVNz9w1T1 qcw4zJh0b/pzi8Cdx3o3rHxoh7Y9Uo/NXElkl9F47VYXjm8nWhOefmdggnTD j0tBXXhMmRIi4DePe05maMQ+nEDWMevLNbsn8eBediu2TfN4u0IyU2N1D64P Zn+gVMTA7siwmt+nErExy2PkLvNcuyVI+hLTCoK2faa/Qwh85eI2kxg9Bjsc XI/cbKKigk3v6x1fZqFLOYLna9MUpq5j+Svxjw6UrewcVS39GL76Q+6b2yQY aW+55CNTgMv9f94HMwjYp3dRXC+hHkwu3CAu+NJAkRMl3LJG4G7u4+akr9Pw 4rj7pnuxM6D/9ZOvw5ZhyBze+47jNw3+qWR8UrpYA4mPlUXu8pBwfOtH6c/h iCJ2Uyms6iRQdlr1lbcn4gH1WtHJuTFcF7pj28+1dYCBlclHxXtQ9E0/z6EN vaDr+bXY9d0XPJy1en4vQYHzb7HqnW49sLy+zvHkcz/oJ1heEFgzCvbi7b/Z NJvh8brQFl/FWaj+9evBTs/P+G/9nMJvKxosnvCQkAzuxXZ/raC9a2mQauJ/ 0Sl6Ei+5sdj96J+BO1z156x3UtGq6BsrZ8Io1I36GDfPMbD0qc/2nSnN0GKO Txs6mf26k3Nhi1A6mgzV9o+N0zHOaMTh9s1e/BScVTZ0eg5D+2eIAuZ+f9XA I1DCzHG9RCFiamYePa6NBjHS2nH4SO23XSwEfuerP/VkJgLidiTn6R8hsUBY 4XZaeDeMioQX87gycG6xVuh5/AQoCv1TnhKcx5y86iuyj+YhfcXF+B1MYNOx pr7PowzI37dsz7PYibmlq89PGJKgcy3F+FiwC5pp7j4hyuRdOdZQpVivTpD7 7XdJdHwenMwekhubxuEb5ZF4S9Yk+Cq4bD3nPAdn0n1a2hi9QAx2NlqpM0BK X9KBYZoNeReeu3gx9W9YbEz8lW3B/A0Zoac/MHUxYjmtYTyGWRxup5bGqVBc 4LGqibkfw21/nVs1NwXq99vXfixj5rK9G+/1igFYnTX+86s6idWXGw6dViyD rMkn0nFcJH7nIa2S5WtwzruRzZiXjs95KPo74oawIeibf0HUDOqs+m538Ns0 qsSwd15lDKO11FRKO9JQrt1GOX93PZpZ3WN1+kog+Txuj3FOAfgE9saZm5Do mL8u3jCpHwpCBOUdWZlcG8Bf4GgwBbNe7ptq+eawRTeJTTGLCv8Kb5cfbx7D Y2aG/Dv8CbDz2p3hw92G0QcDO9pcSVDwaQy1CP0M3ZJ+Rn+DGPDtEOeOjIEe 8ApcR1ddMw8pX22W/0hNwn6ZL7GSjhNQ/VIxOdN3Hj5ZOL59uL4bFgbUmlim mb3jlmGu5N0weHxnMBKfk9DBxSU+Te3AYomRfafkCLAx0rUbPVAOO3ZOdj6q 7Me3UQdzpma7YFKAg6tzbRUK2Ij+kDtHgYMO/qP+iWUgVhn37BYnBcoOSirZ a1DgW4iKyahlB1hVy2vbfJyGQxvJIfalD1B5wmnsUAMVjufkCtS1dOCfTvUs 1tc06Ff8uTRRzuSM6hfyXGJzEGIXMGGUOYfK/6lp6PaNg+xazm1qwMCyyNJ1 jZWdoBV8Z2grhUCZPRKnnzu/AtkE30d2nxn47dNNDPzSgT98u32sI+eR3GtX dMR9HDNbv/2ckZ/E2vcN04kP5lAv3L0tVacH2zRn2hxOMbCks22c/j0e5b/x nIIDJD5yiLh1HduAXwsV5KUJZCu1Pi1ZNgY+506dX3+HivdCz2/tn5mFl/wZ NQYyU6iu+DZ5FxsDera4uh717UMltXquGhUSVvMZ+pYK5+KzWXM1aiQBpk0/ Y0eeNMF2QU6XcCEaDKgoVpxLZfq7TVZqq+U0fAui2r79NwN7LiooKz0cBOPE 4u/hGnQwvrC2LuVSJTSq1l/XEyLhueKr8+o2Vcjzpv5E3VYSlNzOFPQ6DmHH rxafLm468GtvP3VjaRr7HuceTn0zA78VHvqFxtHQtZ6DW09yBFKV2K8fpxJo evBUjJdiPYhXr/4ua0giTzC/cbJHAVLfT9703s7AzPxG/tnD/ZgkdCBZaf8c TnzP7Pdn8uaBfa8PTQiM49+La1zmnahoPWGj/iqoHdOG1l24c4/AuqMyd1uO v4fonKcBRl4kah97pbmWsxu8Xh8V5JhhoH1KspC/9wTsDF1PeeUxj7siz/2J PTMPEeohE1KDEyj7iRwBZp4oXjn6r0ehG9VUvBo1X5IAMVZPtaZCUYtnlcf5 awTQhWOXJ0Q6QGRqc9uNa1QIZo1/W6M7Dqz3y5e6T01Bln6hD9f+OdBbWtJ4 EN0Pe8SBex8rA/QVRn8bWBVA6sqHHznGJNjnSt6WmW1A/sdnOxUGCKhdtOK4 0N0HU2rzz2Pn/bFp8NhOO5FBoK1BtpHsduAT+9WwNbMXtr8v7aNXjoNLlOyd +b/VIGX1xds7eg66g57t27q6HHtnFZ7xVNHg7aeb2pfkB9HmvuKTncpUqOE8 u6nImIbjxduf898ahE3/seSLmRP4Xm8pnT+2Cjyuloe6fCLwR5POZOWbcpS6 scPlPJ2Gt2+nGeRNU1DLTkb4qMwI+ghvdK6VouGT0xXarSN1qOFwSSMmlEDV T7WNLmaFkCHafpm2kcn7pZ8C+I8PQNvq1apJ4XS8pVoWodZJBVqMvODiwTEs q7978vZLAsyfU9b9sm5GwcLpR2cvkNDmoipkZ50JSUH+D++IM4B3vczGJ8f7 4OZLh6OlZzpBmeqUP7uVgFVKT9I443ZA3qbKbUNPSAhtiPR+Y9GFYhV7YlNJ BsRsO7W4kMxA54uiW1YO9sDgDffRfHsSc2qkfxmlJEJv907VTe8JPEaRXOLj a8XIcbcx1zHm/lO4oF5uN4YpmwNPRz8dwNg74txGfXQ8/VJsA7lQiq+5jaZL tZi6tRiKe2lYA37O799X8ZJ49Mv+yQXhYfhR/axE5hcNH272fJJK0iBaYWBt yulhbPTyt0/lJaGss0g7wqUGlzcbj/NrkfCjntOdy60MLtary7dF06FIRM47 9D4Fdl+flnCNaIWuwltRCUEEKBvEMuLcPuMY/b+h684kGEwXUueretG3XSBA 7jYDbsfd8g4LqEOC/cCH5YBJ3EsLd9w/lgIXlsrvRtKHUMIsatC0ux28uWhf j3c347X+6HQG2Q+Cr6hxS1LRkNjC7Vq9TIHbo19Mvx7rhudlGoufx7vhpeWZ m4GXJiGr5JjkbFcpDPPNyWX6zAN1Ifff8wd16HZvWCW4jQacAvteODwfQYXy 2ZRer3nw9+MVlf/M7DUFN8QlDk3B9ZSNQycP03HR1Fgmelc/SNwdOOGUQGDI luVLygmFcLZDaJefIYEGXi5mk7Z16Addg+d20NBI+Nw7NcERTK4si9Z6O40h vYW5EcYz+G7U5UUug4Ln+rukBzbT0X5PGkteezkqnWgwipoisEAreG9pUhWY uxnJJXUT6DI9nOLvMASFv5xb5btpqP4qY7tf1TSs2WalsMp5BosMYOx4KQ2O yX3U+cM/jH95bwhzThEQ/j10/z2zGhxjS1pzUJQEVXmDhkNOZdAmIlk8+JgO ybXK/xjeFOjTCnyZYjoLA32OFm5LU3C+9XrZjbtjsN/UvuVpCxWU1WR3tIW1 wLDkDjZRPwL4N5uvZVFPRd2ksc5ySxLECqsCxmd68e5rrV1PtRmw5N2dMtc7 iUeETg1/fTQHjzXmpG6tp2LH/sKilcJx2Oo11PBRgcAtTwVmpAs6IN/tOW+2 O4ljPHFtSvnPkGPw1OpiEQLtnPprPlh24tlNqRk1U/MoutlXZWFpHMd8D3/i jJrE0ouar7VT57DHi/uxNH8v/rWStLJ7yeTrO+EiZocy8f1firLhUxIXhs/O Vys1AyHWO5JXTGBRqlhCs8gYfLc23jC9jYbrHTZRHc7Ows5s+1XrTk2j5WFV 3n3ldBh+1hRSRR/Ao5czNhy8TILfufXW9pUlKAVr8zg5SJD3GWc1kK2FQFPL D7u6aHCrStMkIm0Ynq67ZLnaYAb8Njb5hyjPgPpjj9/mB0dAcTE1XCyTBrrf d/055F8H6dult6/8R8CCuwOt3KMI7/H7FS3rk5Af5VnJbpGB5fYFtgsK46hF HE9ed60GJP94Wjry9aInq49R9sse4LfxvrxQUogWZap+1m0UeKgduElycy20 Wxzv8OIagNzxPAuibxhiQlm1AldaoKsssnLdwAysauzcF+X9Edklyv87c54G L66Ii+w370HB885P2g7SYPiHQMaWQ5MYt3VYbV5yFpZt1BvH6+ZR4vLhH5xX x+BfzdWSV5UMVFkeKHoz0wo+5WtrE/sJ1NYUc1LhisctlCyO5W0MNLTLoP6S 7UFfh5Mh3pFz6JLq+dxjdgLP/ONb11U8jjkLom5ffOdxJiNSO2WgA02dqzy2 DzDw1WdBtr2mXhBkyMHx7hiJbixHZBatuoBDIamCP4uB8Qe6y/5JTMCtLb/v aTyeR37zw2sseebBY4t8hGQ5k6/X/Iw1SmfA70vm2l+3d6PP2eKnOwxIGC0c fzSSEY7uZxsO7zpIAO7dE3Hucgc0+0RP5B6nQqN+YO8G7XFQnbvXTNs9BRc1 Oth37JoDQ599lpt5+uFvupEgcDAg796C2oGlPEihOukq6pLAtXz7rm5jIy6v 6v/5qoyACIfY+rc5o1jKR6VQj9LgNC1lvOfALF75/Yd7p940+D1+vEPLmY7m 3UsHFscoYOHA6ll7nERd3Rr/txYVQDOLEE/YS+LIvQPfS5Yr8ZubYdrla3Qs tRpvjfUexFnXd0qt62bxcO7Hhz9fTaOxkelM8tpRbKxRfcuwoeGYpJK4lEUj /hK5NZLDzA+PIy+ap8VzQXqR3VvrAYlWfJ49H7z64OLCIl+SKgM5zq3au2ae mZPvAv/MP5nD9r+28t0GzHnk3k7+qDuOu1KHbq69Q0D8k0+Xa/Pb8fPBDQlx XiSomP7UuUKPhGMD38o8GxmgO7u0XiajGwRFY08aXJ+HCyeiclvKJuDq1nbJ v8QE9N3lOhAnMw+iPwR9Dx7tAT0T1s+fsxjgdWPvQpNJPAy8nL3b/4wEPl8W pZCMdlwz+vXaNTMCzovbhXtVlMD7jpq1W6MGcCWlOeTNpS7w3rBG3YelBvNP PqLt46HAqwhnqW/HikBaeXAk8CIF6p89/8W+ZQA+lHUFiBzohEZHqz0/JKbB hV2B7dnNRDAMqGvzCKQCsDw8Qwttx6DzD35/i6IBj4ativbpcVyz3vLsNWZ+ HVKhbkq/MIc2R+p8lC9NgNLSfbNNm5g9735GdP5AFwS6DN070EOgwuI36s7r kdD58TO872Rgi61/ue2LduQSrnlxgpxH6uL5J4ms48grNsZj+GUStbdma6qx z6HugOl/Aba9GOwedKSNg4F7TzFGCjgy8Pt5jbDuXSQe37fblHGtBYz/vvlP /jqBCRfrzkafHAOnNd+qjPOouGI9kMbzbBbax21Ors6Ywog0h75LzXQ486y7 3DqtH/eaMLZcliJhZ6/mmYTUAvy+WZevFAk4KF+TOrq+AaQCglxHzWlwj3u7 ZFXyCMTJdRXrdEwDz13xUZsPMzAgYPlPz3sIRm7c6RFbQwfRlsf10WHVMPu3 mH6DlQRGsjzN7E85ek9q6cQdImEuxGVE79YgGv8VXMVzlQ4vBQbftjP3n+X5 /Q6Pvs6A75X9IvJXaZiX73sk+NQolBzj2mvQzMzljT9KVZ41gnnDhuuzliQW 387w8V2Vi10hbSHalxnYacm15zlHH7r8EHmv5zWHiWK7V861TiKLGNdqv8hx FLQITzwtSsVj07fHBLI7MFOn1HPDKQLtj6UZBm1wg+qQSfaOlyRu387JUTPW Cb17vcOq+Ajc9k10xY9nAh6ePlW4uX8e/xhwqxTOMHu1AeOOqcEkZt9kc3ie wgA1vic/G2714K47RWf9PEioEPXrDOeNx4AdPHJzHgSEuWqf65xsg544+dNv kqhAKFyfvt07Bulnk+wFs6fAaVBNu6FhFiTGgidFKwdgLXnqvmYdHXS/jfD+ Wi6B8mn5b/o6JHw0CzrJfbsOs4Peahv8ImDv37WbA+70gRWlbXzwfTTKHuK7 WrNrEN63Np3dtasNFDlHlH8r9sFe5zPevtLjkPLRqLx6rBaeCJD+iRfmYHHz 758d7MXIv/7SSZkvNDjv22GmvIWCecEmY7efUIGv6FZZ8xYaipVGxR60H4KC xBOn/54lMHNoVi1irga2ahvN82YR+GtvTZbahxJ89lLwzFomD91UKCaH6gaQ RhV4saw5ir+ulQlZTFPxB+NviKpqI8qdZ++zf0rgZt607wlDuXC0bai8QoDE ZEHVD8c390NDqvzE//m0hFJyfO0zZt7w3DPJyx7DtsZ3A7MmBBjX8pdd6mjF JzPPHI4w969W2aE/USWJcJCtj0WdyY2blwxqD3L0wsbs0jy5J13g073R/N4M A2Y+xRO1zgEw2VS4cOExCX8xN1pNthNTl+stdu4kIONOTIzsEwbqaaav/e9S L8Q5ZWTrPiRxlPfDrshHmcDS+vfaaSYnyPTJyp+YaEKBNu7zskdpuOOcmFbq 6Cjel3J6LRBOQYG3Xy6nBTPncLX4P3O1ChwYVz+bp0giySZ3Yq1wFeC/oAJu cRI7r8T+9mcZglvEv83lJ5n/V/2D8q44GiQvqXruujGCrFffiLgzOeDKaNzR mzN1yHnG5qHjDRJ+SyezjfwoBG7PK6pdE3TYeyA80ObcAJz4OEVlc22HM7EH ucGKALfFoMe9nyPxX2RduTJTl7uX/g0s+PXgoffXwhkfGcBxZMVS+s0ApO/N 5TpgkAWG94PJ+AIKGK69fHp1Qi9c2+a5VjSoC+xkb289pj4F9VcGYg9O58JI 2PCckQAV6p++spnQacYnObsHs8tpwOYx9dwjlo4rpwIC3qzuhU2syWGyVQTW hmlXr47JBM81pHuJEIHte79LLKg3o3VP2a21YQWoQ7kbu2EDicYWMTxxL+rB Lpf9Gl8kgeOPq+WduJn39ED2v+axcrSPaEwSWyLggLzvXM7eaui0G7FhF2qA M8qO0Z7tBHDdOJaexF2A0+J7On9pk/Bt1f0Lxa8IbN7x4UP631boe3hD1NWR xO7OHlY/Mh6hLHPk9VwX5hmeCbOmMlCkz1hv7fUIPJ3zz6fPk9l/eETed3q0 A3F1m6WyNYFiu351PlRkgKfMsphhah9u+RdxS/kRCZYPRiXefM7BQNGF71wt BBiYqM2P8zQBmLzY58BRBennCvKOHiSh0XVp7YcrlXjv0Ic7FZIkiAtoK6xj HQTvV0K/ZUMaoSbqpKy4XD8YhrpwP94yBlF2XMMaLxtBW1ZRJeD9LBy+vzft 8YEs5NR83JzhTYPMSxG8KxV9GNj2c8SxjwoKae/ELmwk8FaJza2++43w46X6 IcVGAvUWBq7cCspBcQHP1ayr2/C4uflPqcPMuRR7xcf7JoJg5BYbB6Ye38cw Vq3fRMCf/kaBSzUdKF+f9PivIQmbyLnDSs1eILGOd3F/CwNOUAYjRHO7IOFh 7W79uh5QvxIcm/2MAZXNMaFHIlKg4r9b4nuY/C9XxMdVFtOGTVFL28gnBPwM 1v9gfZXElqFZzda4Qvhp/q6Y+yeB1/YfEBx4XIeirpFcipQalBPfdyqQk9m3 01/7tMqVwg3pno1TOiRyXqEuKeURECn9YuRNZjOejKb1XHlKwjUZlg06g5lg QtETrRrshG2tI/wPmH1akJqlEqFgD/7R2lpfmVyy3/B9ykXRLvxP6V7x3/UE 7NFPzhl2YfbS9k/f3f0qIDXBRX+lYgBWpA/8aHRk5ujOI3GSP90hmNXyyugv Kry+OGJ8Yk0X/hvgKmy3ogHv6262i0MEbv8venLE4ykqeev/FS4IxxnP31xr JEnM49Rs8jlPwlTWXZtdwhl4Yt+B8+udCPDT2/5bbLQFzC6/1NzNWQ5Jtnvz o4+SIHS5abXcbA3O7eOsb/5DgI6VGv02C4n5fz7HZv+sgVG/35mL50n8dVt5 vmZNKZI6L1s/HkkAfpUS2lk3Er8MWZ4yeU3C19cp3ySd7JD756+MSEoOfC6M L9SwImFI5NDBjxbNuMeI5tv7hYAHkSEW88KDUHBJpD2+pwNIvyLuA88q8YvE mYiNzTRQPHn6rcczAin7ulw/XK+AADu2HqU3BJ62qKe/ba7EEBeaznf7Gvy9 s+ZRcy6BX5Z0WlTppeDspCFvvUygj/Cu9VNJBEgV737QwtGIr3PrjxepknAz sEbn1L9caIz771GkWgDudFM/XszMYwmP7Sx3npF4uG73h5GJCFgpYLlmrFeI XI4tYZtvktijvsVOPbwOjn8/vnPiF4Hcn7a9mmJyxVLCG608nir04Goo5FMk IaVoyKr/eQXoe0oV8cs1Q6+0+Xa5QgLKn655aNqTiRR1x28dzPcNpayTc/je hwwSPt/fxwAZvpPTucH1yCCeihxjctgzFzK6aNNnsDd/NLZLdxg/ebL8e8fM V8lQs33edS14+EZDwHx1P/QnPn30qjgcSHWhdFe2QdDhuvwlMbgLPst6XdU7 0gN10d9Mr22dBN0J1qdRq8thnLaw/YzZPMxpJASela7FYok9DbbtNFA1oKXc +jeMA01JFRvj52Gc97lB5MMZDLPilQ+5PQVp7lqgwUXHQK/DDxgJ/UAb7vwS 8ZFAv6Ry7JwuhtPpLX6X7xI4o76KtutkLZ5JN00RPUHDi5JBHXwfhtFabP2b pdpprJBmL6rZP4NSfMf4KQ6DaKrDNa9P0HD4V7IE62IFOurwsghTCKzOxGKl R5Ug++KdwM0xAl+fvXSv8McgmOp93qP6g4ZHJ1pCs19Pw54wesK2nBk02Wxi LR9GA1vZdP2rscN45x3NZGMfASVCNiccvWqRNVxFQl6CBBs2c+WwdSXQ3b30 uSCADpfXDVmfWEeBctqpxJbAWdCQbM0RrpyCnYV7TimljYHjn96AuVgqqD47 bCiX1wp+beSBO88IcKgtG0w4n4jfT8xNF91nnvst62OLXi9m1pV1O99ngIMZ l9LqyElUUOUaiIqaAwGP0++fUuax7l68064/4/AjebWPrRiBIuxuZeVqnRCp ZNQx4k7iyYbPa7x/XIZCfd2tpxUILNnmq7S5swPPF34U19xERQPZYin3knEc an3o+mtoEpW3tSW8cJzDoobn+37E9KKTg6WWkBUDnWMfGEg+ykaK7YfV+jYk egqKXMMNTRARW974ncm1vj9Pd2bXj8KBJgN1DWUabhJRE72wZRb+m/7DU+Uy jd2PKla9j6KDj/CYu54TBSc2VG12ZObJmZ+syo7rEZPTN9Bj+Umg2LuFrftX DZRn5k1RP2hQuLFvOf3gMCzWJf/+7TsDI1eD436xzYDj0DFDldwRsM489/kI c3/MZGRU3cuqh/lttQe65gnYlN40Kv0zH/9ceXhZwYSEiEG3x+IRWbge7Q8b m47jbuvb/UFu1fDksuzLSu9erBmR3PhCrQfGFPWmptqKcZQi8sK7lAJPImMs A8hq6P1TEx4OAyCv7Z2UoTIM0cnPlqO7W0HqP5kH9gkz0E37lWQ3EIhPt78r eCvP1M2+rfyjLd1IPAzjEVKmwYStdW3awgROXZayvG8wC4o3urrZP8yjVoIg j0HYGOySjXp/I52BBe5/t/ivbgeKiqZnEFO33dmP6A0vPyHs0WAnjzIw6DYl 3T62GxUyA7v9G+dQGBxUGlIncNhQ2Sfj7zh66VqlxNyYx7DmpJ7RB51M7qKY LFcw8JNzqG6C1TWQCvb8nnyMRHepREK/rxN6VBL0V+oZOOQcp5KwOA6bN0i1 xn+cx9m0C+UcE3MQfKGVXv9vAgMo3H2fghhQw2llIZbRjew37r3Pv0qCgDcx cehuND4KNqA6AwGN8QIM+5J2OCFkYr/HkAqB9Zu//uAeBznxGF79a1Ow1n5e 7NTiLBzJssjWie2Hfx6SooF0Ouj7Zd15q1IIO2Kjg7aeY/LOwoV8+4AGbF6r sXVtGwH55mtDCfFRPBy9I2xGnwbrEwM0hJZm8By9zOMF07euj13G+QzoGPOw 42S59SAUJnAuHT5AInetVu5/PpVA9FXdP3KUxO+eI7YSoxUY8ZBN84wTHQfZ xyoYfyn4nv1IYaTMLH7P+3Nc4tI0tnteSsp4M4o5StEdNudoGDuoFSj8ugmz 0mKb26oJrJlSVPWYzQKuvQGK9Y9JTItYB0Nfe2FehNKYdpM574gh1piMSXij 22N8LHYOS9e/zft4mMmZXPdAPHgcY7ZuqR6+RIB6cdS7DK0O5NOmWfm/JMHI 8O4Ae2MweDr7fzs0xYAfpypCjgh0g9RTtSe8L+dh3TPHIMHnEyCeSPdv3j8J RuN2r7rZ56FY60uQak0PtIuRQ2MhDIg0OfPG9b8kODNbuMnCiYRK2RGOU9zt 2KlxlpLuSIBMlhqL0Lci8ENBnXUbmX6UsjeMXN8F7c0M6cvrarH/nP4kfBuA Hx93hL3/nQ/7tm7eyixnMPdFt2WXQz/UF1y79uFFJ2gcPty57ccUCKzUSSqx poJtxIWETjsqiPGbJvD8asMo96KVhiQaCFYzpM1YxnF22SXiUcgchD2WmNfZ MYe73rJuM/GbgB8NQ1YPvtPRhluT4/HtbmAFRY7MDgLN8uXO7s6Nhc3EGatX Mww88vBSiP9QG57K4eBt5KPisIzNfFf9GN6RKKNf+jqJKtez1+/vm8Un72RV s1j7MMls1b1Zgo5/BksucjZl4eGnvLc/7SCRV2HDJqG9zbC4c60xnxWBR3eu itZdPQZTfUVyh4eoWPaMV61RYxZE1plc96ZO4fp83ccjqXTYd+T53F7lAQy9 U/H0I3Nfa/28c6PjaxFaFPxw+tdKQMxv4bYH7XWwhpZY9pGZS0/0R06u7B+B 9hAzCRWWGZCuu+OWYTkDKYzRT9p8w/Aqm697epgGrrGxybZFNRDxO256mtmH vRfHQqKeIdKSj0fNyJAgea8JeHsoqFHAq5piT4fjTtHvrl+bxnyWQKcdorOg pXJB+7UkDbMvnql53TwKFY/3v7QuIVDnhEdeXWQTtIl/klZ/QKJ8u2IgpSwL b9/IC4p5xMDbede1l+x78bj6cJ9AzhxmWPvXrg+eRDon1erE2DiytU/MOPw3 j0bJL4zPn+xEx+GNR4clCFxQOq+nqaSDHkti2ZtekehxkZ6zqNkJXbhnZjWT xyUjllb/6xmHT1xX161ZQ8XTCwUmOl/mYO8xwa4T4ZN4pmhBzs+PAU+01t5d +dGD2vM/P8m4kjBT+cViODYJpxXsW4JCCNA7ZRWbnNkKu9bbvm1sp4LsluO/ kkLH4PvJ+2To3BR8x0RyMnwWdL971frqUGCyiq2lJYEOvC7PLK+pIaQ7ZZh/ 0mDq38NW3Xd3Le5RkT4juYGZL2HGnduO9cGVmzsfSczG43vx9bElgoMgddlz 1/3lFrDiMVx0eNYHQjvYg9mIMRi7HpQQ11oHdXpv5jT2zMFref7RAL8CrHNo 67VOpcFJkWbPRLcBTM8QeRjxlgo9PK3VRQwqrnod4P1r9TA0hHK/va5EoME1 B/Z37HWQFpgWf6OAQEuPSEl1gyK8Miqv03yBjlZS8VpLsgOoxRXil9Y5irWO a2jpJVS0v/TMa+3jJhxab3NbzZxAjn9prEGh2bBPwdfj8E4SRQ2Db1Fc+mCV 65i1yA867ozijR7RpUJmXm/Mjx9j+LSlVnSjFgFjjTXbHq5qR7voz3oi+kxd 5fxn+eVgLFw7JJvz3pUB57Y6HT1m1wNFS3l0ZOuGZXWX5GBmT7pq6PCxNfUD fGg32ubF7Ik1PPJsjyI78KDl17Y8aQK0ZBW1aq4y0LF8ti1mthf2XQijCt5j cry+wgoPZkODY+0mOrO/2UxdSLapa0R72m+nYH0aagVU/Ay5OorEyrvrg/sH cQO9U6DuMR1Pm/8VPnuvEktWor0kmbm97IMRYisV0BRhk4XSJPKV9BODTwdh e/5QwDNTOvp/PSJ0yYUGLzZxhVTOj+DKxZIinTlm7wifzRgXaEB5BcHwdDMS nmeqVjIy8uHbEqy7uIYBMS8lri0V9kPacyN9Cl8HtN3accNKn4CTwsVvXzgF o3i4kPVhTxLezH/6FP6zG5/wif33qZAB8QFRz/dYDsD1YvFg14vp0Ept7VJv ocCOWRGLKLZekHkxF6ND7YI7yzyXPdmnoGtSNXR+Xz6U/DxJqfxvHuJ8zt8x E2hCh2n7NMFaGtyiN5QefUlHtK13kPDuhezQNQ84Sglc9TKbZ2AyG9rIc+Ph TF/dKdwzFsPbhPlX6ugXBouwKeB7w6FVJJYIn0lX1q6D24Kr+SZTmX3CYpEq uJ6E/lVBdn5rKtG19xVDex0JkRvOBW9jVEJD/ce7FKVG8M8o0bWsICDkYJRz ScgXDHoZf0KAqQvnqXOrJO0IvHCh8+8VznZQMIr2VHMhUVHfVabnTjT+YldZ tce2G0fKEyI+dzLQ++vFtURBDLrcOHDE1oNEvfd51v7dbdCdZ046PWf2rrA1 Xp+FGMCiyZtkoNyPrkZ/huAesyfFhMXmkV8w5Du7ZO4wASNHlbWJoQbgatxl FyhRDd4a17nihUkYT58zWuSuQA5rE9cLzF6USzNz+/qbAvRxuXl40gCy6zLv 2T3qh6ufDFIXgkfhx4mO+qQ7TcBjMRXsfm8WDAt36GTcSUPna456351pkKko 6zkm3ocX/VVobQwqLBEH1ad/M3Dh3MZJXd8myCQdlfpbCdy0KLISqZOFJw7T l+9ta0dvaw07tu3Mniy0vF5oVSyUlbDJnzhMIr+K1pT0fwx4oyLDuH+9E6Wn bv07bUTCX2bHs2Q1hInQbOUX0wzwdtz7cZdQF/RIaNT1G/SCrtebTcQtBuid nmmVFMiEFz8jwpJMSTh7q8GnzKoVY95Jljq9IoD9wITJy4skVm+ZD7iyUAyt ZXbzh9aSSG0T8/97pRbTvfw2yq/UotI9rTVGTD284MLeGz+LIP8oxC9dI9He uOAkRxwBHix5l++Mt+ARjdmuWSYX/Gp6WHVpXxqEPLK72vuoCxIILe7wZQbk cTwUvODwFhJ6fTIlvZhcbqSwfuBlJ2ZFDft57SLg2p+QDAMzCjgfsTs89Kgc IhXM6vvmBsD3LrvU/DgFfsptHFhyDYB401/mYhNU+Jpkm3rMshNzOIfyvznR AHzHRl4NEli/Vf6IzdM7UC87vS7XMhopNleTbA+RCEVi71zOkLCuZeN+gb4s tC7tDjd4Q8DeTT5iRsnN8OLlzdUhRyrgrXnmkfZ9JDSxxZKr0qrxSNu1VxJs JByt/XNq9xLTL7LsM9cF6uBtIRk2q0eipMeI8UplEf4kFrofxkeDmIL70r7n JKajM5n0ioQ9erHKRs/f4IzMtIm8aB74m1MHrliQcHJrpHHNviZ0eqQasVBH AErq9vDvGYSo/NJCtdMd8D35RrITVKDrt23C4vU0KCuq6k2zITAv4mxvsGsl ZH1cNj4WSuDcgsvLK2kVaCP0Wu5gai16c1s5hCYwfT7uX7k/qRiqGQ4MdxYS j2UU/VwbTkCq4b6P8ieacM7U1ecqc4897jTkfJufDfaGunmiBz0wuX2Pd/QT EnTi7qxl3ieena3aELEpFjYlC3X8iCnGwJHGDSeukmjTYBq5x6kWUtUFkkTX k9j+auhW4i7mfL8Lyd3VqMZdcn/raKdJ2CElJip4qxw8RZb1ou+2QDAt7blG IgFFU3xrWfjScObtCOWePQmmdrYR7oZ9eN8wWV5GnQG6L3f87SIpcGJB+DhX ezdsFd7wICGxHhcDGNnvWmgQ239TIS2dQMeurxNrzfPhv1u3ozYZIxb+rOh6 ShCYyYgLNVsgoLNqOWf6dDX6DjVbX9pOwo9jU8tu9uUAzhY/9KMycVYtdOYv 0x/Gl8R+jriReKRJ92hnkR9S+MgdUa0p2C23sJTPnINdl3/vEab/OEQvZLU5 F2HjxBOd0E2leIPX7Rz9IvPcSxVtcaMUqE4KeHb0aB3ENM/5vYmJxQ1+xPdy IxrEleTlbOol0Fl07c9bIUl4899FgUPNgSB1X+xXPXMf7YoftOy+TsKoWoFT g7cfuknpNJ1Oz4WEvJ1r85j5qS2qEZatTOJCTbtajWo5BJ1aZzNinQcu/BlL EpYkjlrL1256ToL/yeev/rLGwV13NsePTZ9gvsOhPNqdhLUhM/ucJSnw23RY /tP9Esh2CLX6xPxtVrPi5JY+AJoL4cZrjndg0K0p1/XBNDDeepDtZx+BzYEf 5TddCIZbM/xm0W7JaJN+efqGGPO+r2devcXMzaWnGeMLZnl4SDrOytCuCk6/ /+5+mIcE1ZgPqzfLVuKvveviwneTECr6OGziFom/utKae1TyMKpdOENK0B84 B2Wu0l6QWBS3x0CFmQsW+9pL1z//hPU9/HPfvxTB3JlGs5vXSPhwXoxtncgg eOw41flkdzuoSxvs535RirY/zK9UlNBAgosUF04iMGgvh13uYBle7tx2Q2t3 PhAf6nRSeJn6N7NpDNAhoVe6coJLKxWk8rOE4sM8wFLfbeIuU+/35hsLB5+Q 2O9Z1v7hTCoEDUfsFd5ZjjmdLK/81EiMX54p+c5CQto8a7Radi1uuNLT8fEK CX4qCZmqiiVgrquEZdRYHEsNXB3D5M6Toi2UmmgKyAvspfCo9kFynGHvBu8W 9GAVVxEvooFYwOz2/HoC2R59ErXFVHi0NX+7hF4eem3uNVfgIvHW/cp3Kz5F WF2d9oxbk4Rt28gLPE9J3C3wt7X/STL6H3o2EHYqEFl+cBD+zPl5SPBe8LFj zn1yalbLJAtlLu4p1ucahPXmvqsfFDTBEHdtb0FUDp788ElCIpQGasauj74y e+f5w8lNdb1fsMRvz58i/lRgxKc4se8ncSk1SozNkIRk321rPnMEQe7VsBFz lkTgDmvaSDL3rM5qPbOUGyS2VqQO5+vnQ39m5ZSgDQnpm1N2f9iTA9qR6/Se /rXEXlGp2g0vmHPb7nPFcojAj+K7bJbG3mDk1YXfkpF+SLh1PZg6QqLvO4sY UpuEOI/NBjfeJCONk8f1cnEyxNVUvq51JjF2siHT+jUJQRzn7m3acx9y094/ S/DLAg/De61hzPe2u/DyTAsMwsXFLoUl805Ic3TVZS+twuIU7psFrTS4qPTl rY0SCX1Fuc9eq+fD3Vfsyy22H3BxpX3jAebzTeUHq5WZ/t9v/Vp8IjEQAjQr tE+w5KOi6KSitDmJbVXDbHd25iDLozbztw9IEPnOx9/k04/G/C+MKOuZvfpO nF/gtgb8u8rYZF/tJGZ3vfbNFUkA3Y9p2a88hxGol+bK9dpB8s6iX+LJVpT6 MyY4lN4PqslBipwWwTBj5mvsvWkQev8+DPmm3gVsX9gLv17pAdXIvOU1PydA 3tjEwMG3HJ5JJd6O1pkH/2rbr8lhNajB9inzaTsNImUdz/CUDuPKY+dVN3Ln IaxrUDVIbwZjfn3Te+s2BV55N7J9/9HwZJBEVP98Pyy1XSujhxG41Mo6fp2l FJI+LmcwHhLo2jrwmSO+Br+dPW949SINF9KuJqgYDOO/aZcb2yankVG7zTd2 4wwKxwlZpeAgOrmn0nuHaBgakj68wb0Sp/5DochuAu/mN3S1d1dAtrVzGDnN zOnRXRKBOYPQaNzZ78NCx5fvdba8uz8Nc7ZfA++1zmD5p0f3nLxoEFT/yBfm hnGNhMjA+XYCNE9LG1zaWoe7OGdptkdJOCRcv5ejoQg+3Hv/iBZNB8/fN8wy ywfgdNzwvYyUWeiNPXmiOmEK1hTkv/FsHYPdDpA8zuxPI7xP1qefbgPtDMlj F2wJCFS4poltcWg6mid7n3mf3yp0at9x9CIccn2g6MiAiyeteM3cJzH6Nu+n 03lzQITWNlVXzeNtzezzL3dMQNyOpydjmdz2w0IpxNi3E0KWDVvz3En83KL7 OS30KdzkddurqkZg0ey6mk8vOnAm3bChZw8VPTv4ikUjx7E82duo4s8kJr+8 d83cZA5XOzN+iM31YoBNtmnOTQbudbEIfByYg6rOFi0h1iSumd0U5/ygEY5Q nRPO9RA4pBkhufJqFORTfMgK5j2FrtkduurXDFipHcon30+j6cMD9lzv6ICK Qm9uVlJQcBNlYoLJP0NbM9yGtpSjhXKtrthOEn5Hjmol3aqGYDbaTBwrHWwH tTb/mRsCu58hDWcTZmD+SQHLP3Ia3sxOrUwvjcCmLYr8P+1o8G9bBBqoNMDB zger3CcImOCNGMvKyEMDZfFPG5i96MbzjPqT/tkYc4Xjks3TcQzWX3Unhrca DJ9p7H9XzZxzq1vqD5EeCBHkuXm3vwS3xxfu/i+HAiuCP42sblZD7rl/e2qv DMARbdfnZ38OwXuOdk67E21wqN88d9x3Bnp/FQ1Lsr3FjxezOgslaZCnkrLT 170b1Uy2K4yr0WBjtChva+cEKr8/7mRtPQvEQlLJdc953M5pp9pRMAaq3uJh 6+MY+OLrpQt+Gu1wiSdV5uz/KjjvR6weL44TlSIyEhmRBhkfJKPhWBWlFKUh SqEpZERCREjJ3plllGwyO/bee2RlxeO5Fw0l1fd+/4Hn3vs+57zf79cvD9Uf Q2Yt42jeMThsisXxqnR0mfpYuu5iNw4L+HGbjn3B1Fi2t0defsblsoxLi4Kf 0TFBfL3RsVkUWV3fd7KoEyVoWp7iBXQ8bcLptZR7A1VF3wg6yZPYG+c3MurX CUGB2o5p3XSMeiMvfrZrHBj0ZhZjc2aRWUdvIb7hC9h//yR4Y/sE/rJOIx95 02F6XmMv+69u5P1S/uoIlTeb9xzZtSc3Cet3MmZ91iGgiTfeY8aqHcaXFFR2 WM/BlSXpyfqlMaiPptlN2U3C5m2BB1MGZoBc+7K2kNYP9QfmfH5+moeAoHi1 TRbFEGEd/kKD2oulizslT/2ox8O/1Be+9xLw0/HIuv6ZETS4mx+x8y4NDD53 ZnGNTuNkyM0R9tdTUPE4ZOyD9jwakdPsMwVDkMbt+CNRjMRd5omq64SroODW RJ2SIok3At8LVepV4Krspv1//ObxguMzek/+IGqt8syc15tBadHdmkLKU2js bH3oRucoVjVz1Ngq0XCFm2tPL38zytd8FYgtJXApVU9KqiYLUrwOPDjqQGIi w84rR9N64edzcSeaJR25ZxIeNgRNQNWqq4RY8Re8vU/1iAbfHEymcr49VjCO Hs8rvjJTetmZqfP+iezAv2w3b2pT/fxUMaNFvnIgLG7yGC5aoIOIxGeHPy1d wLaPja8kZhaEq65OCZl/Br5pAXv/IxOgcq2Mq+TbF2j+PJ4mwNELnE6rgkq+ dPD4lSYpqZEOtTtFTa2cSHD2GGkbe9KGUVfVudm8CHgSGnItemMxmPR+1xTT GETdXmsDpfFOIGXWGSs8qcXgNLaw/RMD4LjAMLY0UgDWtN5TB5wHQYfQavOQ 7Id4PT6Zt3mdINR0jOl6/yS8szX6kmeYAVYJNrzMN+dAfdOci4txG1ZPu/07 kUEDbWMTWt3UGAZtkWwqSv0CtzBYcYLxC5bnnL1SlvEZxvNYvIxn5pETY43j 07ohwLMmOKeNwI9iw38Ult9AwL7GU4oLdIxu+M7Ir9WGL7uiIy/sncMiI0GW urQxfHxc0C528yTutjq4bFI2g49imZI36PXh8RrtI/+NzaO5a1qHGz0H9b/3 htbyUTwUZfF90a8J/CKOmpXYE3iH+fM0d9UozLIfLP1EzGHU/XfqdOkZUFBJ KhFgmUIV4tC1sZh5KJYNWa31HED6d6Zhd3ESJlUj9mduKcWLW/UqDak9TT76 0cpFoQ6+0U9c0oyhwfqS6bFPM8NQGVldyrZ9GoRKw2dE9KZhd52rDcvlYfB8 zznm2UQDzx1uIvtO1EKYyFXi1lcChKZ9bh7W+IgcilYhpVSvDVj/T1PefxAn J9eYK/rOg4h28qq96hQWtH/rrjg0A3yfzrXYCNDQI0Y/1YhlDCItP/QcyCNw djl/sUOmGc6oM9l9sCaR2S+La+RVFoZ9O6Lr7UbHa5fmsx/914uHGSycGxu+ 4Pqj1d8PO04gs/2HgjmGzzjneYC9b2wWR8pMN6lRfJzz4EwTixiBPKaLl6Xd HFCmJdiD8Kb6Wf6gx+W/HXBL8922iyoE6luMKQV9GIfUO2qNNbxzeOCHWZxp zBfwP//16aPCCfR0cx7u8KDDaovbR3PoxYX78wPHXUjo5NmyvpL2Di8a3wrd EU/pWdLB0MbbCmlJHG/lJ+fA1SmCJuE4BrFXh56+Y5oCty32MRXuM7BmQ4/k mshBGDFSUD0ZNg9Hn+XYXlcoB/d/DFUMFPcVeZ78uvlxDQoLCjCe4CBBuPnw 3p4tfcBn9SMmgTUV82DmwqZtQ5ByR8dW6G4LdFTZrH6K7QPe1x7xWxrHoL/N PMZXqx4mXHR3ANsX4PScbR81+ID2dG3msBQahNuN6McoDqCMt87dy9Fz4HXG aB9tYA5j9rW4Bxwdhs4FPsN6BarPfL0Vcya6Do6cl+6tKiFw03MTkRCVIuSi d3++YzyPz1/Yvmog+1H7TI68EesYfpKw28yZOofMdrkXd7A2Yzd3ooSZMYFt +5+ITdtlg/Q7BeU3oiTWmTUU2Cv0wVfuw/nlTHQsnhLcyHZ4DjgWVvLvbB3H uUkh0T5NAth1DzhI67ZjboFB0WWKY+79m5mLHI+HRtkag7/P6bBtUPiZh2QP PIqxenb2bDd0WCSPTJbTgVW3a1p3RzxYSIfwXbUmQZ9oU/90pgPpW6G+SI2A NVecIo/q0NH/01UxTbk+WP+fnrY6xYFK6wcUU6Zy4cB4yoxHJ4HPTl6M7VNp xPkG60bmuzRcx8Z8UJN7FO+mJ5s+sh7CrN9mBwOvzaO+4dHt3H8rUX0k+/k7 SYo/Lq4P5rpXAf4P1xr3HyBxP5+ZAMoOwTppMbFIu3k8FSMa9+4WDSL0Ii/o /jeKG49PZtmMEVDfE3biRm4DpiRdvr/hFgmvjF5z1jwvgBzf0a2NnHT48YRn htGmHzqKmQ5HX+sA9uU//iUnCegIfW+aPhmAKj3t+6Y9SdiVf9pWOa0b5RKn p2Tq6FAqmCLBcm4APu/MDzwpnA6bRH20y3sH4Rizw36Dkh7YNbhqX8DTDSXx fUmW8xOw0TK6J+hYIZypyrF/PD0LrEyHDFhdGpH0Fx00r6eB1TFCq8FxHg/+ zq091toLzFYJ0XlFBI4Q09lhzHkgw3Q/+KMigaMMWpqlTo3o8/PEcvFqCdYY yuz695tAziAZla68WpA3tA3/l0sg3bD2SgYjxT+7fu88GVyJ9vK7RAQ3krDD UE5R8HQlVMoqJj1vboSgwSfbo4sIUKmtquC8mIeX0sNDjCnuf2LPvpJ2l8C5 tt+N+RQnVAyhzm1XEp1/h69LOxmLlmM+HzRLunHD9LCYdy0dA8xay9z/vkaP pXXr1lK9M8rBkrP0YBvkrW2XMnhB4KOHznbu7HRI7PDqSfDqx+/qw5KrN6jn bPU7Lc/9AT/fsNUvmyKAsfu2Xx7V4x7njtk4fKyGB5c+Sb7iozhyXCDN2qoc 6TFrXarVSLCUSyuu+jYIyyXlKiYT9VC5mXVR9UU/MCulBIvojsJWtvDm4oEm ULCac0kymAHbwQt/7v54i1oqgTvj7GmwNK+1HDnWi3INrHLRP+cgvuUgSSzS cTyr9HybQDMYr149P91O4Idrl7YIy2Yh/7u9X4uutWO28ExrOgeB248l6uQX xUNqcUr51f9ILMf9HU9pdNAVzbU/ldyJylF1mySMKV4FIiM/2AL7w4VlLRfp 0ClKH7Lu6ITLDxLLzV/3wpL40qmas3Qw+cufEqWaDY9++/6SMiXBgDnzyffO Fuyc7nz7M5DSZXtehv4JStcaZ9fxLWWQNFey2WUDiR2pi92m9TX4LPGJMEtA HW5U+Ojs/otA/4GJ6IXuIgjTqXCqNibxTOP83NsoAvasRK4PcmrFrNvaXxco v91s0ehmNfoWovXvtueUdkFeoM+uG9R7JtG2jjzsCobzNTqmL6j9N/k75HxP pROPuWfVuUgRkGGycM/lwiDcG+x2c6tB2F+vNGHxewCORZcKaIQOQsy/J53J h8NhyiyM1t4zB3dPX7VlEejEiEsh5+M8aPCzXuLn5CDFey+37A0bdIU5j0Db 0YwkVOxNzif3kkhEVIQWUL6tH3ch5+dKDv69q0I7EEb1Fsle4TyOZuAb1dol XVkBmjL3/VJ2kPBsJiEwl6Mal1U1dIIpf//tKhgEiwT69PLwub+tAwsnnYev L1C5D6uyU4lFeBUjWu5gLFzzqc4/70li5g9ukp3qX3bvZ8o4DIJRncdNY1D7 A+RMY6SAGeWTd5LNQ7wb0cHMZCKT4sCWrW5BjGJD8LOizTbodzuI/HpvpBpf jtJFVfU1NTRY47JP7jF1P4RQcawFZxU8LOfTpUcT2Ln4rChcqAKnFyx/+h+h OLLUb1whjkBxqaYYM+9imE0VbzlBzZV1xYZFN4CAUsb5q//1NeGaMHG96eMk bHPc/PpFcDYoZ/nvn1qyQeHTeTrddtQch/K5zR+SWP9QiWQ1fgNa3R3kusZS PKIxm8RtQGLpmrNvJmg14BE+EuqzicTLf4XC1beRUJ7MQHBPVGOgkrJhuA4J qpHq4iqJCFfFIvYlM7WClL0UG3ssAT7ypoduNL3F42ms/E4PSZCTZbmrs7kP TWRWFU6fo4PEzAsR7uVBuNqpxeTt3g1rekp287PWo/JtzX8FrTTYp1vYmvaW wNfiUScUnhZCTOcj/ttq5ThhbFAcP0tgDI3d/NQcAYduxvco9lRjpcCepPMU D6o+/3hctgDBYrNvlG1lBj4wzOVwtCDBcHzXGWPKZ36GYEjWTR/8kyeQVcOd gSF32mXjnEhUrlVN0KDyjbdRWqUwrgTTn5PlVfUl2NpkEPzyLAnBixxXyvsG gVCJk3odXwsLzQ6FJvsScF//nL3UORqMGRVWW/cRqFszEjiin4Jq885SLS7+ MOGVekyd4qctWwi9TZRPVorWcpgJhWLY0FPJo135kH1wLYf/ORIOaf5h6FQm 8aFi5PP9PeWwYWj00MLJfBjk9xAwuENxuSjDwD3qrqZYuY/Gf0yA219vLFbx JsGc+SN+/cckzMZcLGMWHYT+1vDd8XolYKlSc2YCBkFP3H38rOkA9N7Zm/l4 qh1XvO3uxEfR4Lr5RYM3vRSHX5LIluuOhJwRmVMatelY5aC4KkNxUEbQ97WL SiRMfMzjv+z7AYHLYOb5+mqQd5eaM2Kj3mPLg+/akRVYXH2LQXkPCfnl4QW/ zEkMsI9YA6L5eJ7mFftCxBc0107J21J9L83KnvjzhKT6KtOyYVMipnp5hW8c LIENiSfv3qe+nxS7slV4xxBoDJRxPcluA2+rONJAm+Lql77bxYpooC6486bM ewK/7WZbfllShjwPHoyz/MuHswU/Spt4STzVJ/nbwYAE46jBzptr38JkINtJ mQY/2EirG1u0JYFP9Xp7+n0SuVY+HncPzYCj78ZqT+WU4zOF6H+FaiQWrc+/ 3PmXAEvXinYz3Tp0fR0qnXCJhG/8wSGJfCWQVVXFlxCXgLprgpSpvALWHZak y/tBYJ7KSeP51gtNsoftGYlmVB/9mRZURgO7THWSrZZAISnnjF7GTNgoI78i 7vABjUJbqgpYSTzwdq/4l1NFeIvrXJXwScqPTAq8hx1JDInfvldLPhVv8Pc+ MG4Lx4Rw39IGL8rfaEL3lqnvEP7lyv/LMwerOcPOT28cgr2VZ0ZO7GmCPvPD zdfNctDXV1GJN5BGcd1L9fQ6Ajfk7o5MyM+j5mmoXd6ZBktmtQf6JEh0bdgm HHGZhPt29rV9i/6QddDfffh0GsS87OIRvk3C4ZKdXGJGJHpvs+Xodi2E9Iw3 v1op35DU6jyx5l82yI4vMEw5nock8sYW7qckXNx9XdfmE4E/YkZ75Ds8Ub5H fKeKZCjKtX9+zCJLYm9w6NquUyS45syPdvWk4+j5hY4NDqkgFxKQ9IrqCWWy 82EuviS8nkxISOk+jUztDmzv83Ng3y4uDmaqP6Y1sq1LFByCbAYewTPCncDB lXAjRKgK5+7nCfu20CB1fCX1HZCgpbCF6/uOArDA4Pnq4TB0SzGLWk/pNqL9 h/2WG5W7kwURNkci4HXfIG1UqhBPbPB/X3iNxGozqzv3V7Kx+jKf8REbEnId OlWU1PqxQJkrp3QrHcYZon2+MA3Bq9WbuvqTXXBB8ynzbEcteu1NVdvbTgMp DTv+2w1pKLx/mb+P0q+UiUF1mPKbBVNV1RmVWxjVZhPefSob/61E7SXtqDvR OpmTO0Cgq4nDqD91D1rRfWojAY5wbq2BVg7lF97Rjyb/XiAhsMnmjrxGLNr8 2S6dRelsYR8frGYUBUefCOzMT0+BnznJpQpULnOlPzPw6KJ6/h4zuVnrBIjr TWdwT81C7qMBxXrCJG6OfjclVnkHagPrRpl9qPzijrL+SflGz91pWptRCo6m 7d22IjwE15cLuyr9W+FWswxjQEsR1h1Y8VvJosFiZaYaGpKQ/emBY6HtG/Bi IwKHeMIhtJ2F1e0+CWsaSs1aLCnf8P6vxiwiG9507XRT44rC/LIazxPU3X9r dap9n9+EtNRrUX5VNNg6ubxVqZzAv3+dlVcrs+FfN6/YsjOJ+h5nTDE9CT8Z ml7RsI3HXceZjEuekLh0/WDmhXskMNzZWcDfnIcfdlS35jAMQcInv+B9axvh 0/QFqbhmyn/LgqNZbXOQb6lI9t7RNzA55iW0KEX555EoQUWqXwlk7nXmPukE z/77x2A88x7S10ef+21O6axw3y7PiQTRDWdfbrbKhJU9A6nmJ7yg7UfCi2Qv Ev4GFLxkpPZbLXPp/uCLc5iV/uz8kFYsbsvbLtQhTaKMQckyP5W3FaSws0hu FrqbDjny0JLAoiXKpJXag3UfNAu2Ufvt8uDNDa+rnnjFX+ZlicgQiNw4wr/8 vAPKT8vkNI5UoH0RwzuNRipPjg+kVlzywzA2jX5N6u7Sg1++PexCYvHGeCvO 8nhoVR5Wdb6aia4vnokoOJCw4GAyLKHVgAMoHL69mQbRzOWMSo9JdMv7Qiiq h+Jcw59Dl3zTUPNcpl8y9TvzPscj3LsJNCtccmoaeIeriW2mxhcjwGnlkfBu ORLfvT7+0Zryh5y+xH6JBW8M462x9KR87zgxOAJ6ybDx9lrOGoZX8KtS7Vat Bwnm8OC5ALXPukleLKU1AVBc/kZl4EAqfhuJ1zfbQyKzg78Qe2oozG7ReqDy lESW++yxl6h9fpTxolPHPgZXNtO6/v//AXLLrYclbrcDS6b5CHP1R+y4nMfJ WU71P169kj9t90E5YOv3QkqPNMOB26MOJPrX/1r1/5UGqVJLHBX7k/H39YNy PK6Ur/neMnCweoHKDYvbZan8UeJx/3WJewhCT8vteqXTDHdbR+OCTDIgsqNb mXs3ibTO6WA9Kp95cb2CbmwEyK6Gt7YVvYYfAxLsoZYkdO43tosfdMUfnoxa XdQ+zG2136NA7YObLk/cRcdgZC47dpF7hw9u8qjrD6X063nr9WpcnwTxmh2r lVqpaKZA+CpR819TbDEbJvkYEnZI78vhHYKu1O23ozI7Qcnmq7XP5WrsWNnz LKqNBk4NXBkD6+Ixd02573bKj4TiS0RnqHmuNpicseTxhz5OcWGFvn58xRD4 sGZ5Hv4HfjrAQQ== "], {{}, {}, {Hue[0.67, 0.6, 0.6], Thickness[0.005], LineBox[CompressedData[" 1:eJwl2AfYjuUbx/FXsmf23nvvVWSUrDIi2SuUXZI0qCiJhMgI2UollZJRFNmz bBpSZrL3+n/O438cnV3n9/s779fzPvf9XM9F/q79W/RLlJCQMCBJQkKsexIn JAy/JyHhFbAeP6UqqqT3JiQs5T/nr+JJCibsNT9C8yq/AXdXVc3+w/3OFVOV uGTcN9xifA1/oFyasM//3uSH8htxD1XN7DHuD664qswl577lvsDX8WTVk8vs +rT8kzxM2I/fwsPwJjyarM5V4Hri6vi4/k/5ef1HshL6lfpn9F1lVcylwMv0 S2TH9ZNkN/i5+ub62t6vRvL01h9wN+sU+dPyLLgyTie/jT/FHXAbP2sLHoKb 4Ofkea3bcB+r/xIO6EfyRcFr5g+bf4fbLBujr6GvKE8u/1b/NF+DP8EdMX9B P4svqV+l7xWvTVbVXEr8nf5L2U08D7eQN+am4mdwVpwetzWTlDuI38avx2vH 75q5n6vEPYPvxyf1f8lLqWpcKm459xW+hefjx+N35qbhXjgbvg+3M5OMO4RH 4TfwVjzWzAPxPnK98AP4lP6ovLT6HveWP8VVl6fGK/Rfy07oP5Dd5hfoW+of ld3nPVut/5DvzWfXV+EyyO7gz3BH3D5eA34prsMD5fms23Ffa3LXH9a/wxfD w83/Zn401zzup/w9XBPfj6uYS2FdhnvLaspOc3+77qJ+Nl9G/4O+j767rIa5 NHilfqnsDl6IW8kf46bjPjgHzog7mEnB/YZH4xF4e8yoWub+5f7hyqr7ubTc Ku4bfBfPiOdD/e76Mfyb/A7cVz1o9gx3jCunHuDScd9z38amoWbGLJfT9Zn4 jlwq7g/8Ln4L78TjzNTiqnL9cG38n/64vLyqyaXnfuCW4UTqY/yEa5pyH8n7 4Vw4M+4k34Zfxs/j1PI/9WP1I2W/y8bgXfx4/YP6B9yLavKU1u9wf1kd2Vmu PHfCdZfwHFkbXAGvxn3xI7iHuezWDfH5s9Zy/X3y1Xyp+JnmT+LJ8pb4HvwJ bo3r4GbmMljX4Fmu7S/Lrc/C39V/ru8c90//in4Qn8bcEf17+rdlv+AJ8tpc dW4ArovP6U/KK6oHuQzcGm45Tqxmx17P5XFdVr4Ll5b7C4/Do/Cv+FlVz9x5 7lTs4ao2l5H7kVsR+62aE8+COur68fw73G78nHrI7AXudOzhqg6XifuJW4mT qLnxZ3F5XZ+N78ql5/7GE/BovAcPVA+bu8j9y1VRdbnM3FpuVexXahF+Mj6H 3Lx4HTgfzo67xTONX8UvxH4g/0f/vn6M7A/Zu3gv/76+jr6GLJV7tTyeL74+ f4mrwJ1xzWU8V9YWV8VrcD/cAPc0l8O6ET9jref6LPJ1fGn8vflTeIq8FU6G P8VtcF3cwlxG64+xz1nnx/sgz49zxJcvtziy+GzxQ/WD49kSHdNP1L8r24cn yuvGfsQNwo/gy/r/Ys9WD3FZuZ+5H3BytYB7nivgupx8dy4jdxxPwmPxfvyC amDuCneWq64e5rJx67nVsTephXH/1QnXf8C/xx3Ag1VDs1e5c1wNVZ/Lzm3g 1uCUsQ9wg7iCrs/F9+AycyfxZDwOH8QvqkbmrnHnY79Tj3A5uI3cj7E3qc9w W9c+zn0SvwcuhHPHWUG+Cw/DL+Is8lP6Kfrxsj9lY/GhOAvp68W+IhuCG+Pr +gvmrujnRab/Ud9f39B9e1qe07oJ97I2cF1O+Sa+DP7J/Gk8Vf4ETo0/x+1w PdzSXKaYi+8L66J4H+WFY2/FeeSJrF/EHhX7hew1/RA+P78jPv+uOW2dyk0w c8TMe/hwnM/0D+lryl7CTfAN/cXYo9VPeEA811xDeS68Wb9WlkYtxu3jueY+ jXuCi+C8cW6QZ+P+xdPw+/H9iV9Wj5q7yV3iaqlGXG5uC7cu9qq4b/FsqDPx Xc5PjH0ev6IeM3uLuxz7n2rM5eG2cj/jdPE+xrOg/nP9dH5SfPbxq6qp2dvc ldjvVBMuL7eNWx97k/oCd4j7wi2WD8FFcb44q8hzcmfxDPxBPCt4spmHuVrc UNwM39FflV/Vz4/vBv1a/bPxTMgeNZcPb9dvkP2rnxbnJv0SfUf9Q+5la3lm 61rcI+65616SF8PVcH75PdYluJO1d+zx8tfjLIFfkhew7sT9rLlcf04/ky+O J5v/y/w47ohsir6+/sH4vpWv0A/jm/N3uWvmr+kXxD6mX6d/Ls4+ssfM5cc7 9BtlGdSXuJP8SW5JPAe4OC6A+8hzc+fxR3hKvBb8mmphLv4ScZ2rp5rCAtxO c5tir4qfHfdfXYjvWn4qdxS/rh43m4i/EfufasYV5HaZ24wzqa/i/quL5mbz 07i/8Ruqpdl7+Jux36nmXCHuF3NbYm9SX8dzyZUwV5Dvy+XjLuE5+EP8D55q 5hGuNjcct8KJ8a3YC9XPeCDuI28hL4x/1W+VndF/GOeHeL36znFuiT3LvVmn XxrPNl8yzgpcIVli65dxzrDGXwB3y9+IMxZ+WV7QuivORvH8uP6yfi5fAk+P 99D8eK4FPiafhhvEfoHrxHnFuhKPkD0hu1d/23XX9QvjHKVfr39e39f84+aK 4N36bbKs8d7hLvHdGudU+VBcChfG/eUFuCt4Hp6Bj+M3VWtzSfg7XAPVkivK 7TG3PfYe9S03jCttrkicn7iC3FU8H8/EJ/Bb6klzSfm7XEPViivG7TW3A2dX y+Leq2vmFsQ5lTuJR6o2ZpPx8RfmRvwT2uLcPrwT51DfxTPNlTFXlH+WK8xd xwvxrDgr4A/NNIzPVZwDcVucHCfCjc205kpw+/Gu2IvUUtzVTLs4B8azj8vi Yvhe9+kr/XNxzuKH61/hC/G/xHtj/ob1Y64kNzuef3MT4nsTn5ZPx41ib4sz jrm01lW4q3WUvJ08Ba4YZ2H5DfxxvB7cxM/bgAfhRvEsynNZN8d+4NqSsgPc L+b+00+P7379N/pu+vZxFo3PIy6Hi+OB8r14BH4VF5Xf1H+inxP7KJ4hbxz7 Z5xZcXucEieOfddMG64UdxD/GnuQWskN58qbK8E/zxXjbuFFeG58FvFo1cFc Kv7e2PP4tlxp7hDejfOoVfEcqNvmPo3zavyOeIzqaDY1n4RvyrfjynCH8R6c V33PjeAqmCsZ5zquBHcHf4bn47N4ppkm3MNxHsSdcBqcFDcz054ry/2G98b+ FJ8P/JSZDnEejM8VrohL4STuz9f6F8zt49/UD43nw9xd/ef6BbGvyd7H5/iP 9I/Gd4Zr68vTxfkXj5V1lqXVV4ozsOwm/iTuLW7u52zEL+DGuL88t3VLfJ9Y O7i+nPx3vizeF78zniFvHXtXfDZx9/j9cUdzWa0/49Xx+ZZV0pfmk/JL9YNd s59/K77X+FLm4h+XFusXys7DWfix2MfiHIu74HQ4eezPZjpy5bk/8P7Yq9Sa 2A+4yubK8C9ypblE3Bf4Y3wBj1NdufTmUsTeyHfiKnB/4gOxV8V5Mp6J2Fb4 JXGG5S7i8aobd5/rU/It+c5cRe4IPogLxRku7nt8hfJf8ou4S3iCeorL4PpU fCu+C1eJ+wsfir0p9izcI84Uce6Tv42r4LJ4iPwAHolfw+XiLcRfxXlQdhnP xk3lDeIMiLvjjDg1vqVfFGcss5v0g/UD+Dzu0dbYW8xX5o/Gz+YOmzuHZ8a+ gYvg5bgnro87m8tmXY97xvei60fJq+IauJw8mfUb3CXORK4/KH8bN8Ovywtb f8XlXZtE9jX3mblj+on8FX6Ovpm+YZxLcQ+cCafBrc1uxi/iZ3E3eRX8t/43 WVG1Aj8dryHOq/J3cLX4M/HL8kN4FH4DF/F6dif+/7/dVjD7P0MjpLQ= "], VertexColors->Automatic]}}, VertexColors->CompressedData[" 1:eJxMvHk4Ve8b9i1RGYpEIXMylqFRkkslX2OEEBIlpEwRZUoyZZ4iQghJQipk TioyZp7K3rbN2jOSVKp3/573edz803F8jp3Wvtd1nfd5XvdaSV70ML3MysLC 4snOwrKe+Wdmxv9+SMDyf37m/u+fLCzVA3a7+X+RgNCq7hP+iLHKhc0O7S+9 SIZgnUtOtEOIUxZejJ5tJUN50WzTyUH6Kr/eZLBVQJoCCmNGUWE3ED/W8+PT fAwFzn/K636yGXFfFl1RHJUC0hlnAt+U0lb5kk/JPOUsFQqkGU+en0Rccbui 5eYGKnjcdT8RO0Fd5Z0jxme1RGnQ3aynfS4Q8VdfIwYTw2kwU8vXuokfcY4N F+kLMzRISjn8rKiSssq3Wds8cNWhQyRorlM2Q/zSvFPrv+d0OFy8bzCDQl7l EiXb7xVtYYA/I5T3WzTiu4tGelz9GHDjW3O7khTiX7trnmh/ZUD9J9y8eR1p ldNDuyN42ulgbRadsjmaBF7rOCs5cLrQ2fSlfaqZCn/Lpy24PEmgy/UDb/TI HhLP1my1GyeDLtv2V62WJLCN3PRQ7qwrzGUe7jnVhUHzx5YK32MkwNsltjq4 XYcPLBLVb9tmgJNFTu/xLhJEk85UPE33g+Cm/sfEmWn4pewYEMNFgj4q/tiR K4EwsHfPBt+JKRDs2Wl0bR6DR0W/rpt/DgHu78ZuZYs4GLtcUrNpFAPpFMqO iuN3wefNmz/f93wFT6/5JvG3GDgePvyjrTAcNmEi3C7iY3CA+tJJ+QkGatGt hM/HosClbbu0guUQZNkZPfkVj4Gl0JG84KfRwLLJWvb9sT7Yr3UxstEHA05L xtWdenHAsnXyL69HJ2SnKa//Y41BgCGL142JBIi6cbjlMK0Vnk33C/44gYEY BD5+I5kEvKqnaiSS3wCW962LJIfBf8pC91U8kiEkkCot3VgAnyzIIg94Mbjf IO9xqyhl9T7cDP23+/34LGTmZ5h/FH28ymeCB0auWc+CSspBz93Ob1Z57JmJ 2Eb8DGib9euP7mhd5UImRnYUuxlIX797g/LOzlU+KT2v0jJNBH33bLWzHZ9X +bvjylv+XiOCiPbdckPfwVUeHz20SYAyDVrPX9d2eI6u8qSnFWxDXtPQovAp +7zsl1UeuPhN9DqdAG3Z96Pr0nCrPCzy83FvNwJMZH6TuZw4tcrfz+GdxL5P gXD+CWVBl2lUj+E2TwuuT8G/hep1Cc4zq/z0/EbawDIetp8W0+I5haH+Kzh9 1PUOHoZE913YI4TqXTXsb9HYPxxoHb6mu1kA9V/PEfy27xE4GLROz/5BR/39 ///8v+ueA/nDgZND7cx+uCha29KD9AdL0d9jr0SGCnZjtyNXEWfb5bPhTgoZ 0n13pwhuQFxpNPjGwUUyXGsWlnYsRPpj+VHSfb0VBU72+SmmHUd8bFZ80aWe As0vbhWqfEHXV6V+a6OTJBWm7SSS999EPPG9a0HgPSpwDih9F+FFPNDv2JAM jQpiUrbvrpei799sc/W+yxkajB1TYlPVRdzu+iL+eBUNjsoWVlsSkP5sqbB7 V7adDrEk9SFyKOJ1ux2UDvrTYdJb7aqjOOItXY0yZl/pMNIxdl2nDt0PqWK/ 0k0nGXBzXpKWaIF4aG1b3XAJAwQne7+8pSNdMtQQkpioYUDOROY6rjSm/tx5 09r5TgbsJC3kfrbSoPTO4RvcQSTIjLl12mTYAso4O9wkuikgZR3Ejl0igWn7 bc2j/pdBa9lv7swACdicrlVm65MgMZ+fbyndA8a6FN+t75iF6UvfV2JVSKAm 7VUbznoDpHG3nvcPE4FVUOdi+g4SyFOE/LxY/KF46d/AczwBov7BdMBfpj5k U7bOs98Gz62NR5IxPNwSJoSqEzHAi3ifCuUIhWmX7VWp7DgopBhp8DN18eTl pMh67zBoNqGwKctMQF+ZaYrsKwy6cEFuXfMRoDYiJKh3dARcClk2CjzEoO1z 8Ili73ug4lJT6Kc/AC49lukTdzDYr5a6wehnDGi1OfYXqfeCC0X3/RdnDN59 9nNvS44HtZMx9tJlbVDQsG7Lr9MYlO/7u/dXZCJs2riXR3q8GfTeXfKeO4jB vmp9kRttSZBbff5yxvILOLfi/r1ZBAN3X0nWQU6mLh3M1Bu3i4QCyvHkUjYM SivbFDZD6ur9KWNx/Sf4cBbs9h2PYwt4scqPuIxUCojNgvsWv3VVl5tXeV9v 6nfz3Bm4oRgoFybUhupU/dHHIckZ2D5XXkcd6VnlZ/YniuOKibD/HO9ib27/ KpebCY3h2EOEypsiB2O9h1c5b+a7iBtl0/CHAqX8huOrfIOx6VZplWnY+9L/ nKvCJOr3xqnyhecEMM1qtUpMwa9y6fpzA7qqBAgS2/lMM5Cwyq3qxKLwL6cg RT/oQb8zcZVn16l21B+cgngJioSxxewq5zZQTBVvwMOvg8U9osqoroNTZbzy tfAQp9DTL7ID9Q3LpMcX53c44Gxf583Kivp4Nmvunv9JHFx73tEd8IMODli0 Rs0LEhx5seU8fhbpjMmrATl1fjLoE1s9L4QjznN0MGt7ABli7FpXQsUQ3+z0 4MmpCTLE7V+3YNaA9MfxXRVwa1Lg0NDUuTgbxGPHYy7sLaAAT+Nm9Wvf0fWl Zdvz7dpIBbYVtUjfZMS1szkNXnlQwWIl/jRRHvF+nVfbhQep8NGUGHq7FemP Tub5G+aHaWD+76j0qYuIRxc32JCyacA7P36s4jdaL24b3EjvXxokaL5pbstE nFmRBGN7Orw8d7RK7wjiKZPJN+Q/0GFj7QZpz/41uiT/MXNYjqlLnn1/33oi blbRe0oyiQH/kdrMbm5C3Bk/eheWGLC/pknA+jG6r9KmyZZs/9EhlGzPFneX BJo6TSklj8+A5uWBh3f+owIvu2rZzytMHXM9mtjKfQkwGcF1I5ZkkDl4fL/q GRIspcZbJCxdA8dXqu3Shhj0CUwMrTtMgoS3IU3fqr3BZ86wUt9kBjZwV5/N FmX6LvLrlM2dN4F//Eq9nuM0vN3RV76enQTU1hnZ+9VBUCD+XTzs4hS0+fxz NqNg0Ig/ZHvV7Q4sK71MkgzCQbNcoP+WfqaeBDYaV43dBcFw0zvJ8l9Akjf/ 6eNaDIRjrfd1GESAhP3OZKu9o9CtO3ZIKo+575ZJbmsYiQKTB7PTvSaDwJpu +uhqFFN/imf6L5+JAQmXC38OanyG7vtnZU67Y+Ccup82T4sDCYXX5Znxn0Ci 5EHUb3MMfPeAt/DRRNDVrMT2TrfAr/6dH7w1MJALIFzYcSMJ7H0+bzn//jVI Gr9wGJTCYMw0u4O1gemjOMx+jN3PhMOSaZb5nBhIqv00fLeAfFTK21d8HnWz ULI+/jDG8WyVJ3gPnTquMQsCI0lvdIUaVrlKktpbjrczYNT05E2Z4IdVrn9q ic9Bawa+3iLjNv/qWuWCpVpynz8QoYlgsX1bVR/KDdtGO+8aEuHSV+PrVJ+h VW7M1/Xf+85peNTpv9/Tbgztb4HruP6YTMOie/5vgtxXlFfOUZz2dRNgq+jz +d0CSJcG8gS47IwJUGq7kXRmA9IlHouQH7cHpuDs0iTh+yzyUR9ydWpVzKfg /b0zWxlfkY/am5Oh9WsMD5tOECK31yIfVZClbrHBAQ8HC0IypB+ges9QPXwi D4+DXSzVXyJjUF/aUrDuw5dxIBKmWnXEmw5z4W6h3/EkKNm2Z0dBNdKZUO9m 5QhdMgjKjF7ZdgbxZc5tnpRnZHgcHyFfRkM6Y2J4+eRubgroGx2w8IlDXL8j NuuXFwVMurn/5MgiLrf4MqpggALXC4m831uRzgwNJ60UH6VC69uN2XPnEf9K +/RH+zEV6p91PzRfQt9HuvjD/f3sNPCd71vvlIq4uuit14FXaWAfKDEtooT4 AQ1Fl8xuGjidd1f99wnpDC/7l+exSnSITq2ncF9FPIHL8ZZwKh244g9K3GZH fL6OPBy4RIenX8reijxG6y4tK9d45DwDfK97jV/QQLyitVk1vpUB5IERZ65B pD9Zk97937UY8Ds9WZ87kakDDmqElURNeDAn9JN2ggaDgltmYnyZOtO7n2OJ 0xYkKt5CkzkFDpa32w6dZ/oluVbqi1lnSGsfnuwwIcFUWroqpzYJhK26nMpE vMBkdnfDlN4s/HixZZegAjPfRTi83mHkC709RcW2F4jwd9ege9JW5vVQg6wH DwSAJl8abesFAvPvPRdc/IFBsvpykIxCCGiujzTLdceDQvOHbMlJDNZblStl FIZC1qlvr3hEJiG6TPyv0EcMzp52bGrhDgcXkbCoDqlxuGu0PujZcwxCDuYV 96RHgomJYM4RvWFgZZUd3ngfg8Tv414pW6JBRO2ek5h2P3RvPJ9gFIBB1sfj Rw7kxUKFyYCp8vVuYD2u4ejmwMyPPPWMnMMJ4GnrsLWs6wPIfXZNWdbFYFqt ARsdSITER8ZXDxQ0wIPKZxJuyhhofHsx0rczGZq/9/s9syyFpKd77pVuZ15/ ZqHaEyukP5bxBSzJP2dBqzfwwNW89FX+CcSpLf6z8OFi3V9+r9erfMp2TJz8 bwbwKruLPmq2oPkE77x87u0ZCE43ST8n/An5LmXdQMP1MyD7Ur2DON6L9sna ye2MaCI86W7/HB8zsMptavboJ3AR4Scf6Yfi9ZFV3itZ+3534jQ4crHvfnNk YpW/lXy8w4BnGsoDntosC6Ac1yI1tlwZR4D0nRNNv7aiHOczlJ29fxsBTuOU 3BQXkC49lmgQPJkyBe05wkYvZpFf8h0SmdDdMQUm1WEq5V3IL9F+1M9qP8LD tLzbjt0FqK4tY/liNSXwgFWIbhFIQ33jElt8U6kQB7Qkw01Ba/KQz+ll7QZJ HLwaujzbEMCAv1p8lOJCEmRbRZbNfUP6E9YqJCu7kQzbB29fv56MOP9Hdhe8 OxnC+lJUaxQQD9xT2GzUSwYxt8URg3akP67H7xTzqlJAxUpwPspljY8aPH6f 5wHTR7VaskWvQ3yD8UD6ul8USNV/v+7BI3TdIvesxXqZvieYFwLaDyF+u4xR ta2dCjspT6fCe9f4ojcWl/UVmL4Id+KAsQfij07mCzYk0eD32R8hExvXfF4l j4BfYH7+yvLr6iK0jn86J46dN6NDdme9jYYO4gHYShZ/LR3EX2SthE0i/ckj 0bc27WTAz/KSyLEgxDWeDXDqhDHAjt4abyaA+C6rdoETZAb4He+9a1mO7mu0 qwqDI4oO9JzvBl0RTD3Rab1Wvu00RPCN7tsXRoWosehQVjcSvFMXOsIx5AAa mi4cDzPIUJ317Ju/OTOXxXcsjxdehZInBwxfxzLzknvPSQ11Zo5L3NRSwucN WTerDkTEzsCmCA/jXAmm7pHW54+r3gTdLrGK9MJp+LLr4f3/NjH/Xavpfc68 QVBbxLst6NEUzOXFjV2gY6Da+mD2gvgdYE2+82+2BgdG/6VkcA0xc9DGwf37 4++CrngEaD/7Am3N7a/wDf/zV238n5bDQVBaxNi+aBTuCH/slitg+igR74D/ YqLAVuV22J/+Qej5ZbzrZQwGm/EJ6tf/RANvjW3yn/rPwEIZt4jwwqDmRlJp xMM4SBTVHx4M7oALEtOnViwxsH46eb+EPxFwoz6Dldg7MJvw83gNTB37Un7H xYCZ40xjCI3PqiHsZl/65G4M+I7bVAilMf0Si0FvFFsesGhoqWdvxmDCf6td TifSqw1S1iKZzBzM2r/tw/C2J2jfu3WWx9JgFipfE/gPa9WhOYEXp6zj5xnQ vXeMVVvw/Sqv/JSnVmQ8Ay8bI71zOJFfCsQelLYPEmGdvL/sKy3kl74ohNGa bYlwNImUmPUdzZ08us/I0cangaoh+CN7Fs2d6HyjkVccpmHSsKpTohjNnSaK PE6YfiWA+3nJxrlBpFelqd5FLnYEaA34E2nTgfTKdZeqcs/0FKgZJnFsLEZ+ 6dy2zy9cL02BU2MYBzxGfqnhY2/aLAkPW9tYppNvI79Uk9uqq+aFhw0O5wKL rVC9T49lLjbM4eD1w60p+iao/9L4Lntt98WBn8f0U0FVOsR+XVSZYe7fW+oK XF6+QzpTdZddyfsoGaYFUq/K2CH+N+3k0apHZMhmtbAj/ER60sR33XYvCwXG I2SPXctA/IyeJfs/RwromZxIzTyA+Dr6lcaINgpkPFMe5/uMdEbnHntoJNPf mPOm7uC7inj1qPBn+zQqEJqC29TWI97Lw3po708qfLqXfulaLvqewRrXC6/b 0UDkvOyizFHE9Yd5dru30OBMyz0fxeE1vmgsuyZbiumLmn7jfvsiXvhgql82 kg7fWarfe/EhPtZq/s+ZTIe3A9qZquVo3R/PGh+UNGEw/Yme4029Nf61qXWp kulH140N5M/gkf4sxn34iQUywKh2exFXCjOXJX3K9/p5AH5tqkn8dpcGWl35 eztvMX1R2ZDiLq9z4HL+w5BHEgVKw3apTtqToGs57/5ShRNQcbJYfDIJvP8y c/R/JCgboFSb+3hC6piclnf0LNA5WRNN9zJz3FlSdfeTG/DLklfxwUPmfpgT 55LKT4L7lA6Xx5n+4MNmgL+QS4Br33z/Hv6NgQAHfYP489tgEZ2vk/EMD6Y0 c16lKQy81bfWxlmGQgVXYmJWyiQIdh0S3fEJg65R/8fQHAaJVdU6QQXjoPBX IYpUgYF8DE9Mt3Yk6PIL2RxvGYbX/ds8tjzA4OmlvWOib++BdK/EBoOP/ZB5 1Xrb/WAMSP/Ij7SMYiFxrjuw0bsHDqa1pBY6MvPanFD5fmI8jBgvqZEaPoLT f1UmPw0waH99nsu1LBGahwa0NZ83wXztxk9l+zBQOxv8a9dCEmiNPk48zFcB 3/uMmqqEmDzqkmijKlN/ouXo43OeMN6bXv5iHQbfPCqE9l1G8yWN3NbvNOb6 Jev/fc/t+3KVx108R/q3ZRbKxbv7NU3fovwy15LwK2EG/B1mJulC7atc4PW3 vCS+Gcg4e49fyRH5JfrS4YezGUQgbaNNKW9HfulEz7Br504i9L0P3T6xgOZL c180i4weTcOLgHxspgXNlxxr/FOrxafhxKBT1N5naL5k72k30JdNgGUbk9j3 fSjHGbb/VtOUIsDlf9LcB6uRX/pLczNJfjwFpYsd11ueIL/EqfekP1RmCmiU arl/ScgvBUouHttXhof58mjvvCuorq8mZgV7quDhjdvS3AML1DevDnIrGrzC QeDeJw1wDPXx8xs+sw/34YCvRXA86wgDRAsSFIwkyRD0ncPD8CbSH47ygs8G kWRIIi9+NOJDPOdRTPwxjAwrPzdz2b5AOmN3ijq00YACx8yftySdRvwlflDe oIICWPU7j9MkdB0yVGqsNj8VfJ6Xcp8NR9z1Ra3fg0AqqGBfJdeJIi43edNX Ak+F67USu27VIJ1hC3AMt9OmQZrYQf6jZxH32TyaI1BCA5nY5l93GWhd4sLF u5s46bCZ379jNB7xz5WTUSfc6NA+84bXcg/iJUNypzX7mHm3xdPA5iPSmXyX R7vmDjJgWeXXjaeXEHd93Rmyks0AlelOwezf6D4VkK/q9CwygPFX7Dzn/zkX ZYhVFq5othxZbPrLTofthzrrDUOY/sRFxCvomDksVvewfeakQoby8OicEwmG M87P3j7pCKk8bcv828lwv2vo+qwR0y89PPPqxH/uIPFWSSeVi7nf12NXPu5n /p6F5XqN8z6g70JQ5uGfAbbkvzaZwiRoIzuHg9MtmMBetf2WmoZCLo5PTeuY 16NKEnlnFwzRD0b3xOyegtz/vL7rYBgY/xvo9a27A/SO6V02x3Gwj/OyzdZe DOrmnlw9IhsGc2Sxd7gnE+B/wT/ncjUGXoeoxp05EaCSJTxo8moEdvrRcnbm YICH3pJ9MvdAi8XkVEHXABzcf3andDgGAZ7H3M4VxoCa4EUX97peeKjV813g Kga8Lwf3nteKh9xDElEXctphar9Rx68zGNwvzzGJdkiEinzG7+LJt5Df0SSy 7wgGe4R2aH7ISYK5+zvUf399CQ27ExU7xDEodJycoRCSgYWP93SBVAq4b6D6 PNmIgfN33FFMEOmPpAMPh/azWeA/sOnp8r8ytL+7WQYq7p2Fm7/AznqhcZWz vHCyKa+YAa/vW72EhD6izzfp03aqzgD5gNHpIFI36kcP7PFINRGCcvazX1dE 822eP3tLdTSIEK1YZaaxiOZIyha6ztkN02Bq+8XjxCCaI5UQ5eMTtaaBIyle 4clTNEfK4XKO4WskwMsJtd025kh//pRVe5hpESDp2FZ93eNIf15G9TSptE6B b65S47Qs0p99SvUtS9pTIHdWTOiRMNKfbJ+LZO5OPPyre6+YuYh8UfKDiksD Jng4P/ukKncY9YFhVH9CWB8OMhxt5d5/QH0p2XptzzlzHHx4ENxi/ZoO88FT BRI1ZHgqXL14E490AxdupSAqSIHabcc9Au8grm3Usn8pmAIWhsOXHwsjbvzr j2kLjgIGjx7qDNcg3XCSEfP7pEuFA94BUj0miLOxBijIV1AhLV3Mw5OErm/5 z+33Ecx8mf9QaIBPEnGxPJ1nH8ZoELBsSu9rRPqQrCzyOECdDptcg5ZELyB+ K5gotjmPDpI7X/nHLqN1KXBi+c/UlQFL+zJM/1NG/GN7/bUrnxnQ3zOxR6UN 6YaOquRzVnYGlNzYwuCOI4G4UP9WbX5tUBkJcMDW0eCK460cA2+mPnxLnGkr sIMTlZHDm3hIYKK816tZiwQh42UCm957AeeilLopB/N+nttZ9UWGmZtqRivt F3yh6L9jMpK7iLDyVORG/BYSXKMqG27sCQBOCfzPd6IEODA+va+Ceb/TPW/d bAgKAbVQk09CeWMwnjXu5VbC1JvJfR96yZFgH7sDr9o7BCYq6rAumakDkdEc HLbMvJM7/2G+mZkDCi5wbbiJgWnCgz7Z77Fg7/IpSeFhHRwvMfZT3IOBVhKx 6s4pZp8ese+ejS4GpRAus/xtTJ/zbNYs8TbKL86bTFOekWdhmXOEHkjPWeVW k7em0l1n4bf/zcOi16pXua6KeOspjxm421V7ulW4A61rSZbFxkUi1PNS72Sb ofNxmeDI5KUAIly+V9RMY0E55UbeHXnT39MgZG88GjCP5iriMR2ZX/8SoDZW /Ns5C5RHdg2eFU0JIsCRcedvymdQHskiAKs8GwEOvVXrltyL8oieGTf+W+gU TOlekc2VRXnkVFRUBjcvHngXtRWTBlF9iRC0P2xNw8GFpXnT2peortVlA/O/ 8uLAmlL57WsDAwxpZ0/kPSLB6dKTlss/1+zjhhpF2Sxk+GN4/tvvB4gLbs7p +uBChtDY3x19Koi/SlDsOvOJDDMc7p3/9aC+cw+ZmUhWoMBeoZf1GzzW5JE+ kQqWZGYe+RhIerAR8UbZ+DHPbxSY8OJqkitC1815m3WTnS0VEoXTk46u8Stn L26O5H1HhVOHY/nuDaF+VNQzO/9+Fw08THQ0Bm4grpDE/6Mohgaem8LzFzav ySMP110hU2lg8jddpbwUrWPUNhEKwZAOfBFBZa8NEWdQX6hwvqLDs9JZlwQi 6lN8e2jXPgEGvOnZ3ukUtmZOW2zhNhLEAPLciT1vdyJ+Z9tbu5PTDBCKGFG3 eI36ut73X21sMR12/WzycIsigby0c8LELQOQu2ITHJ1PhRPvq6kR7iTg3BUV 90zdAWb0EuMCa8kQ0ovrF7dg7vucZL3QP65gKFkV96cUA+2dev6jR5m5w8/w 5Ibm61ChQfn+uGQGON4ZdEpKMT9PUnjaMu0Hjjo/n2p+YObtp7ejSBxM3ZC6 pNZbHwi6rjmxPxumIKxmYNsMAwOn13p7rZdDIOKdy6GOIRykDonJRw9jcMUI VzjvfBfsqY/ERKlfQCTjfG1IEwYJ3CwRej3hwBuRtXd6ahSs7zYIlxYy80j/ w/JYxyiwX9EfSBEYgqrS00SLOAz2B0273eyPhk3247YOfz5DpoC4h5Q3Bg5O WtxnrseBVjr/1W9LHRA8fq8g8BxTB2aVn1xflwg1skMG311bIQS3W9viOAYS W9L4kg4x9/3jWBcjpwYObyZUOspioKBWK1UYmgwhjQ/9LfD5cFnv/jNhHmYe ycqeiXmD9AT69uSV989Cd61FXI9g4SrfusK/iDedhTMFsSfKzGqRDjh8O5c0 OgM67lFFWx6g53Aux/l16FrOwB6HofqZZPQcTtmG9/RTX4hMn8JVwbYBzUNM qkaDJh2JUOp6KHfxNdKZ4D2pgncI0yD8fWbkQCmah2h91f7w6Mo0dB3VOtjk jOYhpV2qKhdnCPAwyEbaogrpj2C81CLtMgFMYm5a4p4j/dkRzdGxRJ0CxR9X sniikP48Nkx7vvHqFLyyymF3Dkf6E25LPW43jweBGB6+MxfRvt+Sz3HizC08 uDe9dyOroXqPKe80MlzGwS1SI+3ZPtR/+2Qet4QH40CO2LBrEy8dxqLVor72 kKBpi8PWunakMz1ccs9JB8jwKc6LWu6IOMuX8dz/zQMz6xuW//xDerJ0Y9lF 9RcZCnblqbg8Qtw8qv7IHTsK6Gz9ckHwKOJUsvaoXwsz15eZN0sOI53569DU uiRLhazDYwP5XogX9LTU0hOosNQ+9LWEA/Gid+IbFL5RYXHwVopHEfqe4p3u 2TRLpk/oUlh5dhzxAenQ9Vb1NPjgsyPt+BekM6dP/T1WJEIHA/OHNt8CEVeZ lLxTFkIH11o/QYrgms+3c6Scn6aDYW/CBo3XaN0JHwlzqXoMqP78upjNBPHN DTrnTr1gQNyEqZY5hvRHisiIncpkgG/HiFlMKgkKilNYS/eqwB6BSFvfAhr4 yrqduRZAgiURuYYj0lbA+UpXqq2cAi4eJg8vXSSBAJ6X/EDACdKoxtc8X5JA Y9/hvmVdEvzmC8DJSniCmnnJnbqSWbhSHfCBocTMIxp7jyicvQFbRE5RX79h +s3xK0SB7SRwoCx4RBv5Q3zQ7vENbwngf8tmfnSF6f/7r3FHnbsN00YqzQKf 8EBcn6X3ioDBU8WWf5EqodDsbvf3Ys8k2Nm2lN7vwCBcPELgb0YYFN/9vNuC OA7BQ41xUZUY/H6ts2K0MxK0fDOOvP87DPEanHVJGRjUCFtsuZR5j5lTqGfx mwYgVPTcoFoIBpxZ0K+zKxZCtDq3Riz2QHcz+/PjThiI49u2/K2Lh6j25s4N h9ogjNW2/JYRBhqLz0X2PUwEtTcdD/BWzSDW9DrH+AAGByMcYwy/JEFIG0uA C/sLeOJsN3Z0J9P/3G5J0BNj6o9/mZbe8G2Ar1QJ5fXMnJWkkS9uivLIDZN0 //UpzNzR+Ohp1M3KVX6RKNgdvX0WxNLzXX+No+dt6nDPWmQfzICfjmrYmwz0 vE27X/uBA8Iz0F2kcsRUDs1DJAQcv1zKY+aOquCrIeMoj7y23vubzPSDJx71 7D7wEs1DWDTupOGLpmF4v9enoEg0D3l9d6aPJjsNaq1zcx2uaB6iki7RMlVI gN2B0QsKL1EeedNSEvFOngC0LbnjbzJQHik116G+eTYFDx8VsHdEojxiHnqt R1xpCjQiPkvL+qA8cqqKh1T8Gg8L1zPyLhiiur6RjPe7p4YHyc6LU2OHUN9Y c2qGjdbh4GSAuWCeOOpj/XuValxHcdB0eME8VpABh/ZUPn0nTIZLbrOMwWCk P9zfNQ6r3iFDfIHtRRdBxAdY+R4enyJDa1rkX8tqpDMOYWe4orUpcERAN57n LOK5Xyu0NUoosFKLmZ9nrDmnbi3qecn0K/UDC+3EGMQtnlx0kPGlgvbCITXv XYj/SU7TER2nQvaG9WaBjUhnCjkdgkaZ/ul7vJpIsw3i/6wNgv49psFDzdMi md/RuhjO3TZrY6PD6adCOp9TEbf9KXao3YkOmrn+l3r3IS42/gW/v5MOgY11 1Ze7kM5M6e6fvKTMgBoTp9qDrohPVp4mxKczoG5Gv4qTFXFOmSl1zRUGJHpX 29lkr5nTnnoXc0eGDkaJaTjqHRKED7uxps6ZQuYWUxN5eSqYC7Np33Bh+qLQ zqNSxZdAc+dc4NIhMtit4zaLNSaBraAnOynHDVrUKyInFDGwuHIx1/EgM++M aWg+4PQB+z2C83v2zQB7z9jIThESJJLjY2WEbsEvh4SW/JPT8CqJVu+wngTz v5yl9nAFA7+tc9FGZh4+YFej1EXCIHoufLtX6h24/qfDWvMCc5/LmCMnfMbg 5qGXX36whAFbjVr+G2wCug5vKWB7g8Eph11vDW5EgNzfzJcDcyOwOEkg5zzC YH5p+avfvyjQ7dx5X51nEESIZl8+RmDwiDs590JADKg04/b1/e6FA1f5tlRe Y+rV47A42R3xYF9B3hm0/ROsYyzIB5hhwE6nO5ieToSbcybXKQ4t0NPjNt+n zvQ/+n+66feSQCLcR3pP3yvwqM3VMZHEoNlG85xfbzI0x73Ih4k06N92fEaa A4PW7W6tg+xIf6y3TsWdezkLkzsNPOfYnq/ymrntDlUHZsGXhMV8ZkfzEME8 4/iJmhm4MGYrMP0APVeTFioR0qg2Az7DD9Pfe6F5yEwc/4x5ExHEjr+Pa5lD vig06q7GZW0i/GZbfyn1FZqHwKtoS9X303CTv/TMaAaah/yuuN/5QXca/t4W TDl1Bc1D3PfJ35L6QADcyvWY5gNIf1yKnRpG/iOApFGsUNcupD8OjCc2Vp1T cNlg4xnaRqQ/gc53GlMMp8CXcVjg4wryRZc5gu/f7cfD+tsD56yGkS/Kyvxu S7PCw/tT/MVT1ajeF2zZSXxjOLCv5Lgr8xT1ZdNwSVCbLQ48tlhp6KfSYbHV n3NDJRmKBsQSUmaRbgiSvh6S5KNAaEXtxZuRiOvEyrrcvEkB083XVSUlET/6 Y8Tt5RgF7PKbFWcakW6I/Rt+c+QEFQIz305esER87ocUfzXzuorzfMOnGOj6 MuICG9Zdp8E6btGJdFnEn9Jr7lUM0GC+BMdDakX6cCYzUC7sAB30/ol4CVxG nO29dGdKJh3SBny62P+tOT/TSWX9cIkBVabs6f0HET/6UbPn9ycGXOiz/pTd jfThepS+1ooUA/oierNi45n+pKD6uEPZcXCc1t97VYoGjxpPtlB8SOB8ccpv 0vI8UBvKbcjKJBC6dPHM5RMk6BLS1Bz39IJSt4KATPlZCGS/T/WXY+amR6IH 6h/5Qj3X9VnN40T4M7M8z8NLgv1UCzP6nQCQzqj75qpJgBMO7btNlzC4P6j2 e94sBEyMXZ8u4MdA+YaHHzczh5Vxuh42eRsJVvT0ptfcwyCXoRITloJBiObL Y6cPRgPvtYbtUaz9MHvWruvpLQwCFGnsSh2xMLc+Lrj8UT24lf0x6NyLAbR0 /Feikgz2O4Qf63mVAI5fxF1WAAMsX+fDzmsov9gb/G4XW5gFcbeSrYv/PVzl SQmGzs+vzwKeLrQzw71qlV+Q2PTjut8MhFSyf4vPRM+Z/Lp2nfT0NxEWHFKK 3u5A8xCrrJcD1+8SYcMeNT3ND+jcBNsz/MZzPRHuHcnC+l+geYinxeFR/o3T cCDMUVb+EMojC793cD0OJ4Dr77xz91VRHtn0hW5cxkWAlt6X2UU8KI8svZkO 3BkzBYPfjtcWb1zzXkB0V/JuQTwEmr4Q6X+N6uttta94bjYOFLQfPd+Ztua5 MPXab0ZCOOByiHXrzmKAdrvYK70hMlj0+hON36F+cWEV8Yk/TIH96UG7uS4i fnPEyV8shwJSb/eJB/xGv/e0r/DZZBYqGO66rb0xA3GVlMoDJ65QwXXDrKOl CuL8S8rq/ek0iHh85cKHdaiPOt5r2Y0u06Cn3+pocy76PtcjshOHztFBbtvK pneA+Pusz51acwwYXPnYafUU9YWFncOuSGc61Ggryu0NZ/rtV7y731qYQNSr O94u7jOwUS+lT0ycBPLkiczF4JugZK5dNRc2Db3ZVfmFG0gwG395799LQSDS 8tBz4sooFL/oDS3Mx2DzZf3/WCujwMTx5QHn5EHAdM848ERjQNU+uvGabAyE XFL6GVdTBX2Et4HW0hgs6a0ci3+aDCzhiwa+xjmQpURpE+dm1v+58MGKSVS3 fzd2Fq7XnQFdkSMKFqHo+QH9T9dcjbqJYB+B5VwKQPuC6yOl8/nmROiozrqj fRDtC9whz81PDDH78tisZcx3VG/HH7ZaESwIcOBaaM0Qhuqtod4q5cnEFGjn 1fj+/YjqDTZceahMwgHZyFGN5Ibuz8+/MhJP3HDw6SenirwpHSLLKcbyGyiw jfxczzMF1YkR50Jv4FUKGCY8aRNRQpx/Pv7x/W4KRBRzLq3vQPUQX2EAggep wE0ysr7jiPgnwvXZviwq9L6Wqfywgq6j8V62TlgbDcZ5VkwFPqN66PU4tv++ HB0+yds6sXkhLt1yIlWikZnvhi3Yb42jOmk7lO3EsGOA9FPz5ZgkEmTeWnfy 8PsjsGj/5K+C6yx420Wde63I1D33wkPev27AdMr4Ff8gIvyzf0Hh28bUT0qB Q/2sP1jFeM7W3CaAnVsyV9pPjKmf1Sw2LCFwk5TtXHBpHIZ2p4fql2NgaT8i ZOweCYaVDwIbwodhwlV0V0waBlmlbEUjs/dAgu1s1avwfnj1xubMfCAG7y6l XVP3iwWWgTjDzZplcFLzWIGqIDN/JbE923eKWT84/i8+Zlrg++6E5gEWpg6f lk7Svol8i8OCKA+DcwYc2aYYHLko79SPcJ27mkwEXS8b60kTpGNJelkzLfcJ 0HZ0u4z9AvIJuB5DSo0wAcYYTzUqBpBPsI+3DLeUw4M5T/Q/izXPL2xxGPtc X4qD15M/L361Rvdz68VDaXsUcOBgCA7PrRngpMEeeoROhgPnU3fYP0N1Yr0h Mj/8DAW0Uvh+bNNdM1/dtl9/UJgKeyKcjFuD0e8NruOL57xLBbGvEVwJ2xHv Em7SrealQ1fwmMlUFLo+35QTLweHGPCBZlsenc70vRfTN921EoZDBWXu89+J wHpWalJQiJnfyVrBVi9vQavHWLc56zSkh0sPi7Iw68fZdYd1ZTCoqGcudfqN wIktP0wfZGEwHPXEl2Z4DzQOhH3fHDsAxncszoXcxeDsAHbErCcGeotqjT9R KoEz6TavjhgG99xCfOx/JEPIni8LW/viYdPPtPUKGzDgGDB/+UsR3cfQM/UO thVEmPidFyjphPJp4utNUt1qBOBQSvN/Z4fuy5OXeYeWPuGge3t516Vp1Ddh FUrjJAMcCO0q1L06RIenUn2iQmIUmPf9GBASgNa5zMjxgI0xFagGBy9r6qP1 TDUb6JzA0WCDzvvO+hq0nn2tdaLeWnRoG/gSIHMOcdNOdc7hYQbodtkltLxF fSc49kOIg+nnQh0Nj8fFkMArjo6X8dcBF/+8ZQ7SDISX5t3W2s3U7d77quyn /CD57qbL69mJ8Oua1jL3ZhI8om46JSESCI4K6axlKUPg+/Hkt6BEDBx7HQbf hUZDs3XRz/CCIgik/DosyofBi1dReLaUNc/Jz35450glQkiT9vlbCWh/X7xg Y+LvQ4TWGX617KNoDmlWlqJ89wYBNtftjfvkifRTlZz46vHKFBS9aPibpY/0 82jEydxvG/FQfH/kiPGafOm7ZZvb3XgcPCjWXrZa8/xR9jbNMx6bcPD8xugt xlcGeL/74ZadRQLZoTzFlRWUr0sSu4hWf0gwt6nzpVbWmveFVVxD3lwmQ8gV ZSHc/jXvxbx17zf7SAb9EYUPp/rQ/Z0TF/phJkuBZ7dC8k9dR/yjSfSxn/EU 6Nflsc3lRFyYnxIgN0eBkPAyUa+na94b9B9akT5HhUzxd1k+WohraYgwtjRT wfp8UEn0KKq/lcQzo6ESNMjZpNu8/RbijGqjmYdRNHiGN3j5hxfxkt4Xz+gk pq9um6WVlKN17KqqO/5Ej9nXU18sF4wRl/eI/cX2gg5eCpsfpWLIP6+rNXxG 3cqAjElDemnkmucTnqTn5PkzQGVh3e8fYogrz2us18Yz4GqxbdrZGlS3Aysz Et01dNCUKbxz7B6zPpNrJL7t0YfAVJGCqhdUyFXvltTzIIF4elP1CtUe6o0L jGmfyHDJ9ffJBQtmTte7df3sU1cQ+epbJtmAQeh8uECxBgk0r9LXv0q7DrU5 4UOVb2YgGv8mekqKBE+vNO451OgHc6EzMslD0/CNOn+nlpMEw5FSdWwpgbDF 8HL74a4p6D55U+XpHAbrlaRMhqdDQNd24nM9EQeHc6Y99UYw0J0jfu01vwtY 3574e9xfQSdc9phJMwa/8x5q3qsNB97qCRGZdWPwsbqm2a2I6duVKvSUz0SB y5TKit2hIXjKfvqDXDwGJzviIwMao4HtlfCJFNE+mCnRCpjzxqDq6w6NqvNx IDHw8wDr/k7Y/GaiX8MaA84tFReeMxKgontD5PbSVkibCiyTOcHc72Q4bHbv SQL7N9tPRgm+gQTLq1qychjUvSSNk28y9VC01bih5zEI9oLjKA8Gs6WEEtYK 1L+2CmmXaodnIVVp2dNgZwHKpw0+Tk8sZuHFTofRK1/Q+8Iho87fnnyZgS7c 8+Vvluicosl9il/YZgYuVgbhOS3ROcUHgXEeNjxTb7LMF0sxpA+cgWwf6C5M PzY88UQiDelDpM1rXoPZadh9plsvJB6dU5De+RNr3aZBe3/4lfj/0DkFP55P 1pVMgMq4m8NRRcindXP+yqy4QoDt2w41ST1COuPe8P0B5/wUPDYcIm67iXRG l3RTcch9CiZ2P1sf4ItyAUnGP13oOx4eULfLV5ihPP5xV2nj+SA85NMDnLjk 17wfn3HZf9sKDmwTBR5O7EL9x6py4mpDKA6WH5Xgbv9j5l6HsZdjnSTIUGsi NnYinZkwfkMtUCVDox6udNEZcVaWYrP4NDI8yJg/xbUe8eQnRz32/yDDpoXz Ck75SGcGZRlmJ2wo0OpVcspSc83z5FcqnTybKHBYZXaf/BjSGevTIk5l0lTQ MgjaT/FBPPNTWvnrWOb36GElE7jXvC+creQuN0cFzhVXRa81c4e5bW5Cz8xp UBK+J4SujXimQd2C4Rvm9z79tcgQh3SmzL8spESIDlQxiiDj9hp9D3077BVE B+kdI29lRdacqxpM21rh6cB3+rXG8Rq07utrnnef1mFAOp7ySd9szfMPdZHR W8oY0P9lK08MBelPVWKYxeRTBnAOvFEwuM/0q1fmHJMTFEHnoXtL9SsaJJqb XtIIZOrJQC/7+yBLsJ3k0F1spMD7aafe3ZeYPvasLj/542VwWbikhH/H1KnO Myc69Ehg6hhOkqJ6wKatV/Mna2fhSVyNQ6MyCRJUen4OK94A4eDJztY2IoT+ HH48tJ0EJ69GfPsj4w8itXxW1p8JEFrfRS75w+x3tT0J9cq3oUT5x4rZKB6U E8DJbxqDUwWZUuyioaCVe+qgDm0SWKWjFs07MXBuiTn9JSIMVFzt7rewT0Bx SxSv1UsmN5h6FbchErSejMptFB2BFU92B7NMDDR9XYvZI++BWmhfUKn8APj4 WlVx3sFAmEyi6m2JBS2f3XQf4V7YaSH7hscZA69zuZqXnsSD/YaiNIHrbcCP K/t65DQGvtssdqclJYKK/Uo/a2YzHHjLzSFxkOkTcob7cX1JwKKlPMdy+wWw VM44/92JAf7XvG4CfwqE1CwvQuFdmHdMH6Wtx+BfXqhTmi7yacnFLMe2pM+C zU3Phx9+oveCu4puapkIz0J3H/ehkVx0TvHBSsJWM2sG/tZYDOWcQ+cUUucO BLOLzYCncZiBIyfy7WrS/n8lC4lAiPxYLteIfKC7hNXJX7JE+Mvlu9c+BZ1T bLqaH/+sZBrICVZH26+gcwq7KyILm/ZMQ1ndwd0P9dE5xYOSdW/ITwmgEfuk 8Pxj5P89IHRvxF4CvEw7f3IlGvlM1qh9tV3lU7DjO69xjx+aEy6LGRvRVafA 2eyr1NHL6JyiOCRb0/ENHm4O5NY0HkN1fWtb2OJ9DTyc+y04/lsG9U3p4lBF bhMOFKWevf+85v1+wZQz+BPA9FELX7eybWLASc+TpOAdZLCUt6gQDkU6s0WQ g7wrmAxxdxLLb+xE3OvA2byTk2SQv6y9fLYW6czUrrDdBscpUHNDwOe0FeIC 58X6DjyhQJhGwEfHhTXPl7xY73WVkwr22H05pQTEjfIPWdCuU8Hox8WTpTKI Y9cKy3aOUKFyzyI56C3SGV/TCz/T1Gkg/Z96LusFxFvvhF1bzKXB0A6BvYXL a9Zlt0pa5zo60L2vrO9KRzwvqzE29hIdfq6McW9ec95jdb7mmVI7HU5o4Gmu vUhnWI/8qRfdw4AH9lkTAW5rnht/kcBvlcqAdRhH+HF2xGvW201q/mTA1P2j tda56P5xd5bMtxyig3NDwEJ9KNMXxW83ENc3BeqRbb5n1ajwMkH41uErJJBf Wu/kbX0J+CXZwPk/Mhx/KPPOzoQEBRb/9tbru0HyD89iFg0MUuHR0f2HSDDb 9fXvKbw3uMZXfj56fAYiaLrpEyIk8HWV4s1cuAlROYGwZDYNtQMXqvaxkYB6 QbbQHh8EE8eUCKfMpiCYZGOQSMZA+ordEXrIHTiQBkvK7jgQcajaZ9zHzOOj NduHaXchNef9VhmOL/Bj14jMwBsMSpcab8XYR4CE8nj+dp5RcOCfTLTPxSDA dPMtYWoUM7+va2BXGQReTbPGjEimblhr1F50igFpfglBNpHPEMJyQDjEDQM+ EduGWNZ40KL1EGNMP0FS56lzR82ZOrY53bVKOxHs0+88537cAtOfW20eH8Xg 6UXPHXdvJ0HzSn5Gq8FraGOTH+CTwsBo2I2v4QPTFxmwGm1+8wDCMyk5BA4M vGVfRhmuIF/ke8XAxLF6FqYTqGbXNpai+Uelb3+A2ixU2TdIxSWg93+lhVpl v9XPwJBhqHO7FTqnmL8U056gMQMZcifrSQfROQVLtsLGbe+I4MS3pc+1H82j NE6XhfnoEqHc66lrcyqaR+kSnhn/bpuGMM+UFulAdE7xOK2DgjechiC/8x/5 9dA5xdApTk+FTwT4wZ2o+U0a6Y/Ybk3HhwYEmB3Qu8MjgPSnRipV/lrvFHzJ 9c6c/4F8kQSbo8ZFkynIq9feNk5Dvqi9n4uiOYyHCNy4Z3Ub8kW5Ox+M/rTF wx+fT7nri1G9n/ovR2DsCw5OnrNXscxEfRmH15NhccCBbrv2z7d36bA0q9Ow XEaGghemE7lkpBuvhKWO7eKhwGywn61vNOLtitahR25Q4LMb7LCXRrzyhs7v Z8MUwHaZ5dDeIt3wpxywmdekgkSZo2bxmnnK7MLSpuAipp4U5Sfu/Iauz3XQ /0iTOw1UWsXsxxQQdxdYuFnIzJ2KYU8kFj8ifajo2XM1SpUOpPZrSltdENd3 aZWyTKeDieqg7wnWNecXh+1wt+0ZkHbx6BuhI2i9vr+/zfL+IwMK+4UyBj4j fdh0YJLjpyoDnBNeeBsmMPWB/HTUI0ALgl33pZTuo0EtRW6g7gYJyoRiml1f 2ELzu3eiNlok+LMS+PbwSRIs1YT3tep4QbDC5azGI7NQO/45Uk+eBGopTYtX fH2h1Y27zciECEHszhW9vExfc4085GATABWDxZ6NpwmgV3BUfNcPDASiHmhw QwhMHPwheIF1HM45HPk1XorBjlz2uYTSSLASHyn7oTAMaV2KqjqpGLBnfhye k4wGQdPHmma7+mGs7HxZgD8G0bfSxVWrYqH5DH1xXrIB7laYV2UpYdA4ppmo KcPs0w1+cf6Oz0DtQsFvkgDTb4j53na4iPp0nGp8eeT7LNBztj0u98lAvnL2 tXyN7yy0FpO5hxnoPVnXB4GJ9wJmYONuxVM+1uicwuz0l30B/4iQyjlb0/8T +QSvZ+3fVSKJYPknJG6mGM338hfWsYZsJMKxohNz/5LQOYWghtuyMtc0LP6L eMsrg/KINc/Pdc/uESCEq4m7TRLlkcZzH5Y8eQgQZeXFTmJBfWdI69VXTpiC M3pl65//QH7AlMuTZ58IHl7dcRZYLER1xJ/PY+ich4MtlO/WhpFrnifSPpcV LoqDiZ23FHRiGYD75VBr0E9m5uPDk0YfUL+Q807HGx+gQOUPfS79y4jTLQY2 7nhIgdIT75NC/6LfW3LRb0nvDwXmDkk9Ns5a8/5FfIQ8hxMVfLi2eSbuR3xM 5Ip8WyoNmgNVPD+zrXmu8vdc7pfvNPDIKV6ue4y+T7X8sdkMCzoQPGwr/51A 3MffyOs4jQEy4oZyVqWoL9ynde+1+dGhz4tX/U84CQJGro8/sDeG5O0i5n5B MxDlvC5pUpwEvK6eYi5WN6E+UXW/9v1pGMLJZfluZPbRN+mKfepBIPht/IJY 1Cjwz3TIOT/G4H6zHb4gJwqs9DNs970chIk8kxP4aGbeTyZKePDFgMS4rbvM vmpQVNLnFN2Nwd33ij/6HyWDfZ7Ub8ntuXD69f07X7kxUHbtyJAdQnVrRTrE GDCYgWA33Gl/HXRO4TgaGsPVR4RiS1UClx3aF3ZdPlf4wooIkdIn73kKoH3B JyXeQH+MAFZGbFyNRFRvSzuy/hVaE+DvN5AQGkP1xj+n7VCHm4L6Jelm1hpU b8lz69qWqDjoXqwlCq3xTR83fWj76oWD/Fc/qLnH6bALr2ShuJ4CfjWuJ93T UJ30PJWmHGPqXQfDp8xGFfEYjxWV+A4K8Cpku3B1o3ogZxXjelSpULEyV9Pu jPjbrzoTGRlUGK01bfj3b+28dejgrfc02E5quSQxgOpBuZB2I2M3Ha4uPtvF 4oP4ZPPd96RaBtSNCAyUf0V1Yj+lqkJ1Y0DNi4M9BslMfWOfuW5+4TC0irqI G/vPQsWB94t39zDrweG/HxKfb8Dc9xv692KJcPu2eEn/NqauXlUjKr/1h5mP 5x25EwngVMHG7vyLmZsKlMLIQ7eBrVdhmDeMmQ/4HNiFKzBo/u7dF38uEgwJ I1f/PR4G3UeC7YbpGEhuEtIKGLgHcmT1r7eL+qGYz2bfuyAM+l5oRRy7GAv2 78iHNFXLITvqveqiIAYl3Accbx5l1o9Mxz393xdBXp+2tMCCgfYF17N17ig3 1fVHWTVvYeag0oOsIqFIxwZnJf3l04iQcaIgJ3I/0rFftkFfPmUQYMxg/2jy FPIJ9w2lkwPECPDYz7lg4T3yCU48v9Y57sFDuKbWsp8TWm8HA++/dyuYOSLC hJfHEN3PyauDmo5KOFDfuEdstz4DWN11o45SyJCheGarXRmqk4nCN/U6pynQ +G1ywtQA8U//EiixO6jQm8FRxh265v38qpnQz7epIEuo3N4mhPheE4+Yus10 cNNT2PI1Zs05CgwH9hEZYL10LEL/AdMnJ8q3/WjmBa0NesYs7DNw1zsxe1SI ed9dB9Z1xt4Ck9KPBsV805DTltZL/985Rad8ZnxUMKhcHSNuSRuBshMLy+ey MbCdruNNPHIPtIVdRUdLB+DE2Fl10zAMHKVSzCxqY8BejNR68fJLcBzfmLNJ nLk/ksr3FtGSgcW86fHQqSSou328HtuAQc10pp+XFLqPWfZ9ocKviCDdRW5u 10X5VGcfri1RgwA9r82m2E3QffmVrX6poRsHLxrYA1IHUd+Y1XbdlTTBAf1L EjvhPR20zQWkd+6kgMWpsBvBwWidOdXfDvIZUiHxwsi7CCO0nuf8N9d//kKD 4+KxXz7WofXc9+uqvd8xOrg82ntEynbN/6fUEXA0d4AB8d2idj9bUd9VhMcS 2JfosN1tr6BRLAn29+NuHfzvFKgdviik9HMG3oV+FeaRIUFC6+GFyp1+kEXM P8XHT4SAmLKqrs0kCL+W1ZbyPQDsbYbnGS+GYOq3ZgYkYUBV9PVw8ogGFv31 01XpT2Dw4N33k3zMXKBSk6l/D+ktrU1186E5Igi7PPCI8UJzyM0eXl5qN4kg UHM+8JQYmkPWvfWRiblFgF0d+lp/7JF+zji52DixEMDzSIDT5FGkn1obZ0RY uPEw0Rq/z5OI1qN9+VmGfjIOAowfFt5rQet6TfTLzyJuHISqfDjk3M0AKu5l y+e9FCirIQ59vIruy7YwpW3pTD2OFLgawaq+Rj8vn5GZYdCgYr+u98una86P Dp6qPTHLgLZL5pMWlWj9i8ZMBO4/ZO6DBV82O0iSYOJK+m5jrpswwsG9l/J6 GohOmxME//fcfsPj1w9nAsF+++XStsVBaDEzZguPxUBcWd38BhYNuRe8CxkL eVDZQl6w2YLBvRhLKYF3aJ3v/yjrihwlwplfLVdtd6H969JWAyPFiwSIWF/H yK5H6+kowiZ82h8HxgqfnRIl6GCj/fqi8h8yaJ2dPuSahdYh/8bFXaBIheVd h32t3dE6MHhO/84Tp8OzewY5P26hdYg+YvOOGMP0Oy0/AjtSmDovWt4Xn7IP 2GpLuJ6UECGk/rfMWQGmT7h6gbrdxx90T53Tv4sbBqlNPAK9DzBQajru0/z8 HvSa9LH3xlTAadEhw1vCGHxcnzK0Xg59340bTtcXZhNBnXhQdmQZ9SmrTv8k iwwBFCOnvP2KUZ9ulCi05KvBwYWBP66eSjRQ/9ydCkQyOLR9YrN+teY9tWmx +bb/KFD3yr+49wzi9qXx1y7cooI6jXOvugRaB2ptD2/rRjo8/9oeNZiE1sFG 1ynt/2vqygOp+qK1JFMyT0WGKEOKKFNYUplLGTKEVDIlyZghczJnLCRUZJai VMgsSSWZknS5Lve6Ez+hQr3z/nhvX39+OGefb6317bX22mcf3X90gNNqmx3z kT9Y993glZCZhbg67x1nxbB5zWuNvR5CQP6DQ1fm4BgkVBGPfS8kgve9mWPD /ImgP3voylXaEMinWK8v3yRC+pu5eMf0ZGAacPl17V82SKXe2efGjtUFrHJM 53iQjn2M+Nt1p4kA3VfDTXZwI37q994WFj6GB9vuj0+TVBE/RX7ezWYjOAjf Wj+83EiB8MZ7KpJCZJCY3vAIjUM8dPCHicYcp8BYvES0iDXiYdG1nxCpQYOK gx/qt19geN9/4nnQPwE66EXQu/tTMf05111hOWUAzypGWVVUCRDem6RmwUOC E96dn0LLw8CuxXbAnzYCza6HCB2ZWL43XfioyjgJ9OVbXopGVMCtviycqyAR HOREto0EIn8oTmYrHsPyddtXkP3kENKZJKK64L1oPFiT4x5fOIL838pFpILM hodfxiuHXCWQnvh8+P7fWB4OjO4bM5FLqDB7gWT/QZsMz9XroN8Z8aCdOwlh 3hRw2dRkL7EP8XA5PV1seI0KyhwcEV33EQ/CrTby+kt0iBs/es3+MfKHUxEf uAquDcMK/XSUbiIRRlfSqR46mH3fPnpQ7lcApDJ93vNbsfzEGPi0Seh5VZvO mNzuIwDb8yKHplwU70kS1KdSVnjwm+k6lb06DZQb5SZyHGR4IrZo4ZeOxq/a RbvvokkBj+HKNc3zaPy+2qkL6XtpoHiOq4Ldh2HeSWa//58FHdKL/aX700nQ SRUX2LFXB8YPHEm87EOACIOj+yz5STB3mW/SmDsMTkXbpYa5j8JV9V033uVg /nl6Yav6WiIwEVQuTJjWwPxSg/BVESLcFhpepJxEz6VoFXhsRRgPgh6UoSt4 5J/NQUdKl8tx8EHz0fMaTyr4ELhZ6wVooNSQlDV7E41zeq6GNIbV76qEsLG+ O1jdnRsjy/ZLGpQMBNOmZwkQo94gZSdKAqHLNX9mvoag+tTgsX5hNQHiFO01 Q2JRvIxrHgjbeggPRx+P8UdfQeOxfsfOqfwWB/NX7aTUlijAtZgmIiJNhtRy zpiY64hny/NsWY8sKWCsmcm6Yoh4TpD2ifu5PAOhJwe1zLlI8NI7sL3aIBxc f58R8A4cAY4s4xPNt4nwI+DEYek7SeBy2YTH5mkpyDzwq3TgI8JuLXv51gLE mxarY2gWkQAE4UVT9xrk/zKyofrNSTho2EQzlceh+3/iKCrXYMHB8GtKczCd DvG1vbFi90ggSB4QiviL1pmfqt65+WKNBCS3zYL4+wjPPzLwVdV1Hpjs3rW6 HUK4hEP6yFD3PIQDR2fXF8RD3VXVuIbdZJhXcBci+COcmfdIXGAqGXIT7YRk uRBunJRnHkcjgyUP0wmhKjTusGD94ARbCkjust/FZ4Bw9QoZmbQ3FLi0EBi0 9RvKw2YaTt2dkqDCixlj5pehCLc0m3cSxup145NPDsfyI9yezPHBl4jlXbW3 ++WfIr/yTdhKZTfG4oIvrTr9NMIN60LOxTyhgTVJUltkHq0j8T07kG/CS4fE Ofd/FokI792jqcEaQodBv/MXsqQQzoYLten6QYesVxLHhl8hfcC1jn+htdGg v/luUmkiCfRMz3tGxJvALsWNF+avKHAy0F6n8iqGn/5mvrvHBUosa+t2f5kH m0b28LO2GE5sY4VIL4jXGX2j1k2EYkfZizy6JOC5BDOcMX7Q8WnQULt9FvoW FkgGMiTIUUig0SuDQVPaidA0OQNB3FV/d20lgaV2zLpERDgsNPfOjQxNgx9H 3xvORSJYeqVNCX2Lgmr5O0WHqDjgiHkrWDFGhPp2jzB9s1hQMlzqbhWfhLNh KX8b24jw1Ju0Q6HuJiR8Chc04h2HjdMvsj4+JkKQ4+s7UUYJmB7JpHcZjsCu Zx9eZKQR4cR/FwU36rE80/n1wep9g5AaeDraNoAIU/mbhzysUiHdj5LHcbof huXiyQUORDi6z86Db/Y28O4qki3r74Lii+X4NAMsjp4ZRNL3ZIDKcs0Na5tX 0ByufCtBngjR16JfbgvIBJy53esFwxK4JpDTpslLBHjOuk2vCsWX10hfV+vX ObhL7L2QWIDO9z5QWCKZZDcHvrbvS4weon59vNAu/fofs8Ce3/ZgVgP1671/ 3H3F7DQL6w6fl8S1UL/eaqebFH6aAIVbQoQ3jaP4nZ3c7rXiRYCObXVV6vEo T9661M2lQpoB5X9HmB9Hon59ywuhwN6rM7D5SdnmIA3Ur+/1it3lQ8FDixDb gYeFaL1C/t0lWsZlPGyMCC513kXz445RcqTg0jQ4BadwCvui+TFfw8urxXca rqU8Zd5yFa1Li3MdMVhdmQKb+/kN58zRurSp68b6xcgp0GYdnRaTRv7OyvOM d3UDB0P4tsUAcRR/pIYM+BqHA9cNqdbDq1QQMq96Z/ceq0NO0D7pf0Q6g1+M TmFWmYeXZSLb7noynFfJx13DljMPognJlAwWhLvoO/k1LM+Dlr2OHOER0pk7 wexTD+3JwLIr4+UKILxI3rOG0kKGdV8VSvU3Bt3u6lPnlKEA//DHC7eDEC7c y6S4PZkCcZ9zr0ZxIzyeU/1hGY0Cgrcvri5Woucc0/Ae5bCiQsf5fR23DRn2 F03aer1tpELh6yPKg1NIZ5xzWB8qidJAhyVr1Tsa4aLWfLFfwmgQczxBuGcn wktSPrcP/6DBClfvaOcrxLtAXWZL1TE63CKxTlCtGc6rPCwv419NhyDna0F7 qEh/YmZPNjk9pYO1naJwVQ6Wzy8PZT9RUABL5wuBY81UkCAf8y4JJwFFeXdl kqItsATOOyT1kCFA8r/5+IskMOZxreB/cAmsl6/c3t5PAr7t50IPmpLg2uYP N7g6roLv1ffPFjvmoOfXmSe7VUjgrig1vl8kECSeKOmaD2B+z86zWUOEBJp7 Tz1vFAiFC3aJwnFf8bBlMt5d4C8RkuaTB0Z2REJasYPYEm4Khqwzfo7NECET x9pwVCAGmLReDWis/4Ahtsu5Df1YfpXFTTa/EQfXv8t++CU0AS0vqZ9b64mw Q1glY996PLS1hkjJK42B6tbNBxvyMT8uCVg+cyMRDgZ28/FrDwFt19hj/2gi yPG1hrzfnAL6Et24VMUB6JDSbA1yJ0K+UMqI0P00GCvJXRNP74XvJ+1W8k4S gU+mUqE3JR3S67OvZb1uAzDQ1Es4RIQlRb5flR8yYCCsR/FD01NQGq2sPSdO hPKXibuf8WD6E2RStC3mJpiVUw6dYCGCbWVp7+ejKM8vtj5UKJA3B47DdtmX XqN+feyt8t+q4nNQuNAuZhSL+vX92ePlJoWzoO3nGZmhhfr1H9+RdtEkZyHZ yLFifAWd4929dwvPpjIC3Fogfw5/gvIis9grc5sUCWBnYHIgKBb161OY65PS q2fgp27/Es0B9etVHRujhffPgI+GXWuMNurXmx/0a6BV4cFIUP1f0D20DvZu gxrlroyHfAed4PuxKO+qeSD/YPTpNAxLvvX/fBWtz5td0U8ZVpuG369mpLud UL9+/JIr6UjTFGjdlD3mo478et1qWLVAbwoW+QNsuRjOvx/xlDGKa8dBfuAZ cS+G94OZRB88dz6C6eYpm4XWfzQw5edKnBCah1O3UnlbYpHOpClcPXo/fB64 fBXPrIsjXP9DUEnX93lw7N+1PNSEdOaR//1nVUCG1d3rs1R7hnN0xYdFn5aS wfRGVxRxCY3DQ+7ZkbfsFFD1m7MdTEd4b1HxwKlrFBj8/avXWJ7hPcSv1dP5 IxRobqW8+NvB8L2AIOfGZU0q6Mgcnn7kgnA5IekZnyIq+Mddf674h+H9Qf2E xpNMNNCz55s2zUP4MR9uTdp5GpzZm3y+SoNhH1FhKW/1WxrIri0lUD8jneE/ MF0VqkiHBI9GqsRVhK+oqNQ0Z9KhxMOTMsGK8PT/7h1oXaUDZ9mG+/gDZL8d twtL8Ho0+GnlsyYbS4KweS/6zMppuPNpKYEMFLjQV5qV64nVm3WSa/fULsJf Ge7iIot5OEhUW3t7igQflg07SqWuwLrN55f8x7B8pVI3MR/zj5dvlX8U9PuD T+u/I53Gs9CzHrmis5ME3oqUz1Y/rsNHnaUNSccZ0FsRVbvHguH8t2ZD+29A W23GJoLDNMg+qfm6OE+Ea6V9fUrB0ZB74XdneSAOaMfyRmoHidBZebjecCYW xvhSTBy3fweuHbrEw6+JcL6d68zeM/FQbBSWryHxFXJrJy62FxNBL0qk5/J0 Apwq/Xnqsv4wJMwP1jInEOFlNJ/RzNlkkHrTyrlT6TPIvT8mNXcF+/sxIxv4 lQrFyR2mWb59YHeY7nvPmggT4mQfIqTDwPx2s/udHbBguZC+VYcIJFrF4ROh GVCsqT2UnvAcfipQdwTsIgJ/zhb6j/ZMiKpU3BVQlgeT3/XXDDiJ0Kc8Mn9r FeVFN4Winnq+moNyk5bjlQnovO6vmY9TnLXnILBAjuZljfr1ijYRAX/fzAIf aw5vsybq1xcO6ftc15uFg5/vfFwTQf365JLnIv91EWBHmOrPN12ozt3+tFM+ 3JQAHOXhPiNxqC/zPrTZDNc3AzkSbGGmV1C//nqiWxj95AwcXIo8v66J+vVJ n0Iv7+/HA3OORC7XTqQ/ofiKxvATeOjJlX9etw3pj6tOEm/Q4DTcfa/QukRH eVGApU2YieU0KMuY8V+aRXnR2svBHPGvU2CUcW7drR3lRTKOJBGmc1NwJ2X3 TsFi5O8+zfNVLT9w0Fi99RY9k+H8M7e8P2IXsTpuT9PoDWy+D/5dLexXMw+y xZQYOQrSjZj6o/ol28ggOmtjv5yM8IQwf558fzLwSuxJ+rcb4dSDG0fkR8hQ 41pge60T6Ub5efzeE7oU+E/jxRVzR4RfWHCJnSqhgEaFpvDLnwz11O+Q1Z1X sHqqWPJhmBLCB8vTFiQHqPBugbMi5B3SB5f5uBROFRpoPxHcdtsT4RQtwY8v c2hQe+7me9xmhj6r8tFPE85Ynep1pq9Zm+Gc/+NSeQo9dDCyDmHy/YL0YTCx widYiw7PBHadq75NglExQzNaJ0DSvj2GH7SxccaIfZcJIoFj4A9XFWdHqO75 EJFlTAK6SdLv4qNYvplQUfDqwDWYTeiuHjgyB2OGvsN1CljdlMo73HY+CPoL 7TWHbQnwRrCQ5wAfCTiVGnLFjMNgxV9SmXgGD/3dP+8lrxLB5ryxU97BKJCq aDmVw/8NfGwLm47WEOGDl1W/8sNbMKBx/bGo9ij0uyuwlGVj+NvPsgaiSSB6 /M7gS7UvYH32e+FMKBFyir2rn1WlQPEvCRWBiy2QdiCKzKJMhL9u1xvYpTOB KaKUWWCyCi7FeRiYCWM6MLHNMc4JxWme7h/V56tY/aLRe3lbci5aV8maT2q5 PgfdW75sCapD/XrfIfXv2Tdm4eikLs1NG/XrmVozRy9umoWpSd6OiXnU5/r7 zJqVN5EAa5dKn2jnoz5XpI3I41scBLg7IfRTKAb162n72RN0t81Av25uGosE qke48zw3apPxkJJ1wm1qO6pHtouqmlry4eGy+CmtpN8oHn+xvj2glTENWwNc 5Z/QUT4wbNZ+QlNiCszzOjJYCpEf6Yk4Tps+wkGE3oOnM5HIr1Pflfs+kMSB cQidnTmODrVZsS392LxF2SI80f8WxUvlortYnSoZFssORJDcEK4gnHwyC5sX fWO5zViZED42tvtt6RoZOtr8B5fuo/s9TF545O1KgV/bKpaVDiFcp27LA4Ms KjiTsn6dYUVxNC5k0nHuJxVaY0+NajHsP3BYS8lcs6aBfiEXW+ExhJt5Jne2 k+lgocI9MlqD4iK8TEeHFEkDF/bNRy/Fk6D2tpis7OuTkGvk2fU3bhZ6gzQX QAr7e0VtnPTx68CiXL545f4MODBPi/5gw+Llcdyi+e4bkLs13BbufgXTqHdr bx9heSnNY/9KdgK46KYs3O0chjMnB1RNkzG9e/26ZoEtGRaEf5b/59MIdlbc pyN2E8EktvPLSj7mt59fXLJJLYayX/PfdbcR4aYfbe3CZ+S3LA6UrJYTsyAv fPB8ijzq19Nx2wrmvxDAsc1mi4sFmheYen1MXjkQYMpBODV+C5oX5Hf+Mzw5 gYeLw5muo9+Rv50eYbO65YiHqUYJ69eDyN9aOQ4bd09PQ6j0txmWOqTzzZdO Oo/TcKBn7KbzzBbZ50mq0P0//jjg5Pd576hFg8WQU/bVm8hQKWmiT72L/CH9 t+71QjcycBaflV5TRXjP/vpgzj4yDHnNSt/+xLBPVMD26V4VCsTEGxCveDL4 yUTdmY27FHBuIRoUbEL47FH/miVMx+tt9lBKGc4X+9F6/K6YLA2avloxRwQi XEdf1vnkKzo42wceNsMhP5HXXM/2CqQDs/rj11WZmB6ajXFeVFIHpfBe5fMx c/Cp6KIBWQnLl87mjgY3B8LPPZ2vebMJ0JZ2huOgIAlK9jKXkWpCYb/b0C71 XDyQPrdEf/qD6diZtG6WjkgwP7rIbZT9DYTZe3qi64jg39Zeu9/iFvSuXb8o VT8KEVrCBTV3iTB3SCa1vy8R5L/v8yO8+ALSreO7lCKwfGZMSKDVNgWYDm+v Hql8Au9qEq/bbMfyrr73+vfUMf+R4laL9vGCmFQDK8tNWF3mntq44onqJo9j ehvlvLNgHn1u625/pGMX6NVJ7LkE0K3qbfsmi3SsepY69vEeHqhf2lWrx1Ge sMiZTnCUwkPMYcOxrDdIl4gWZvpe+6dA+sy9gARnhv5YW2u2+zMccI2vuZUd Q3brXpAViFLBQaXrw3XcEToMsHolN5PmoS9Tmfv7E+QnhcuDJmXmZPj7qMfi P3OE/wrUayYKUeChzNnvdbEMfbr6UxsHIyhQRTAucBVD+ITX22pdLhq07B+k nE1F4xvLfjB1ikqH0tDaa5W5WF1/mmDhOs8Ghhp3Wm9xzUJXzNt1rR0kGFQs 7LwZEgK5pnqcgztmQHre4oTtJiwPj0j8Vu4fAXWxod+VS8dgZoL+/vV9Ikjy 9zhNKSeC/janp3otQ9AcP6zYFIfZy8QDN/okGXgdov7tf1gP6Uz9M56SRMA9 NuJ8R8wE/fq567oHM0Gw846oMRsRuKktX6t3IjvKeThl/X5OgLFDPPid2qg+ fbhgJu6nh4faEFXhMmNkFxmBW7+LB3Cwm+/pZ6WPDN8JgZ12upY4cDjMPlPY QgN+qrpcwXYyJFRf8NuIRDxr1l197GOK1RckhSVFC8Rn87ZKNfMJKkwm0y+d aGHoRwh2Rf8+TIOXccMixU4I9zIVH2L5QgcVixvd2T0o7q5/O2Mct4Hp8+L9 zTUpJHBf+drdXHMMinM6FPQ3zcE0NdwjaA+Gv0kY5GALhmLhhed5YgRoyicI 7efG+FdySzoxHQY4/2ASb/sIbL+j412cQYRa+6jmxktJ4NJ+wN6CrxyYzxpx HREgAhvNIvhKHEOeoDX3VOI/AlzV6biefQGtQ+YHrUeLhBLglVRMYR4Pw3nv ZgTp22F42G/1NU/YHumnwe6hWiNmPFhs2OdHHUT62WmkcZaVewoCJki1UQzn Zv135Zfy/mwc0B8arks3IV6tHip97ODG6qdUHSEZLM+rVflgoapEBppHv4n7 FWSXtOjc1D9OFOAS3cRVdJjhPZqoCiOP//1O4PaF0weq0P0qZGO5Ogl0WAwQ Th2pR/xXby28Kf5oFt7VC15pl8bqRIXzc+y/gkGiPIYs+GYGPBJ6tkZzkMDW d/Pq88/h4MJhp78fm2d0mD79pKYQQeEMz9TK9yRgus3GK+P1ELhY9S2auIkw lRUad+oN4ln6n9ak2zcCbFyYS60TRPNXy6cXxVyueLjyNk8GniM+zR5Y0TzD cdB0y+i4uSgN08ORS3Vr8+DX3KFGuo94GCDz/sxXoEBfTULp36uIh0LFx+Ky EjRY81kKDwxDPFjf3i3vmkWHvUYeHnuzsXr54gOv+y4HgJ28Grb/GQHa36vG PxciwbW9CrUDLqHQ6/T7SAl9FOwechFV8oiwSDFr5ytJhOIUT/2C3joIM8jP Gt9BhNR2xfo9Muh5s7d97Y8rIsDkCQcTpXkUp04soDYthwdus/Yy0QcoTlVy FqnLr3DwRa6inV2OCmxeC3fb8POQpVyx6etzhvOXDmpGKBiS4Y/reTFfK4Z9 TRW/ZjuCKdBKL342Io14KBiWUzVkpcHfzmvuVlkM/U2NEmLLBh08LizXfbuH /MFxrS+qVHEWulsfhTSJkSBfsbvPWykEygl/muqnxuDN8VkRvSIi7H9Hy9jD kQjGX+U3Df8dgoeaQxTneGy+IzQLTN5Mhqj9iR/GqDkQMkBO7GYngg+36YV8 TqRj9vGJw4EtBAgZK77s8w/5A/f8H8/V43jQTqwh7N2L+Hk399JSeQwHFGdn pbQ6CpiealErFiDDKZOJS79vMrwnm6BA+n6UApW8vnVNNoiHB5GybMzqNPi9 PTDz7kXEw2PVqG83xOiQwOzyVCmNBEIxb5a/GhnAi3HZ4EYtAjSPtmc+4SHB UaXUjIM5YTA2vPo2e2ME/vur+lImiwhveCsW1vUw/y8m73u6WgH1dFu5HkFM /wm1pF++yB9Orjcfa/9NgIJUz/sv9yCdAb8ynqJYPJz1F2AK10L+XysRu97P gYdvXMOeW0SQnuQaKCY238PBi4WlM7FYfv34GfPcPi0y/Jy98+yyC+LheY7x 60kvChA2n/7xej/iQayKqGP7hwqRtDpHgyLEA7UmK7RtkQ415C2SX8sY9m9c ayveFDMMVws++z5OJMKPnW6h8weSgWlPfxDP+ftgQM7xbtuK6cDpC/6BM+h5 Wzqm7H36MZ3e2RXOk4TsS5iw28Jsgweb8kdxhxam4ZVwn3k5GxmmYj6ZL2Yw 7D/Rvu/TrE4B7XPrit8voPFL2RD4BBRpEHqs4Vb8VTT+ddzgpmu2dBiXneFS ysDqXzWeKvlf2oC7kPb7v0ACtJ4OTXnGj+F7vxUxr4VCf96vuIKgUSgdkDyl eIcI4xF/7G4tJkKU47nRgK4aENke4jQgguX5X7w/8pgyrP/wTd0dFcXD6t73 7DwTyD8J5NTDXytxcCTlJJchNl4JJne5Q/w0CM9T9XO9xfAekO71k7af6BDu SelUvPu//c2P5caykqDqf/6vJ40AHcfJkS9FSbBlb3BzYQ/q16+YHDh9o5YA Klk3HD4EID05tFrwkaKOhz1ejYa73NB4bujZFPO/w4Fz5+bg92QKfEus25Er SYY2HlLEplDEc9To84v/TlFgRwf+UL4xw/kelk0/wzZm4LUTR141FwkqlCDW TTkcZvhWOVPjRkB/n6HUznQiPHhom+CXgvk/PjiOqvgYLHrUF5v4iEBZWWCZ vot4mw3ikwyfJ4AqeYe1byHyf/O8npGiFBzI2+Q9aBtj+H5sGi3cihXjU/Ti PbU5Ouwf+Oe5JE8G73d5yo990fjjwr1j2h0oILRzn8iYHvp/V7qux+/dI6Bi /3G4NZUIh0te/fndi42TpkxItHsEb1Lm2UJ5iHC7pM34bQMapzb3qX+yPwhw 8qDKoN3qZ/h77sw5eTEa3NM6qn0tgmHdRvv1ostDOrRamAAZm0eufd96KHB5 H/CfyHTUbSeAwXzxsSBhbN6saj5wTDsUretEC4+XYLo2MBjBczYT2Ss2MmlH SwsOGj/+89ESpcI651iA6WYaFKa1y1owfEdqSlAq9c0fOryKC+H6Voji9P9+ /HOKVtSw+3dUkJ4IT6O463Ib5H1tgt2P7/IJH3E8zEYzaT/kJUODSN651QTE p3lgfFKOPgVOygrwsNgjPtt0Wm17jLE6YUX5tC8vCRSqpYTKfTA9ZNVsHBEb hXNq+50JmB4e9W5JKtr7v/mAsej0fCVwaeMaEoSwfMxl8qGeO+KZrNT5PLYI B/l3TVka0qhQlS7+pNSdAnT2G/NLBxjeo8HlRp5dpYLkK6Ydeg8Zvj86Iy79 XbcIlq/p747kIsLo+XINyji6/ujn1VClAQKw0LnaG70RDwX2KtVddngQUTlP CZ6aBmvjbVaVLGQ4djrFkJ7NEBdJOdYicjTYwcNyPMYP3Tc7xf39FTc6+Ozr xpMxnXFsXRo/nqkJlC758U03CQC+RFN/AaxOrPKRCRrCdKZPM2AyexT4t4it kDGdOTfOvaQwmfj/1zuc9lIvH7NHS32C7+kPyB80R/Z4FNfiQFat9FWQFRVu HBLx0uKhwU7XGGWXJIZ+BIlL1HqSDnx+H/LnMT2xvO7i0ZIiBDrDa5PXNwhw 1NVeL2Q7VtdUcurzFyM94bE38juM5TtRrj2FgbZITyj+AYFPtPFAXAyodbXF Q1DTklS+OBlkJ0uv/wtnyDc6+bc0nqDAm+H47GkzZK8ZA40/Hx+OQPX5Iz2T mD7I/b28SygkCaIGh3wkJMqgnLc1IoKfCEF+Um/k0pC9imLPbXZPx+rEdfrJ xXdUyI3vylU7TwFmgWEmN02GcypUfmg3hz0Ah8icO+vbiHAg9mDb17foOhwL Mi3lowQozSg0YVcdBFhe/iopTYOzJY9aQ64j3trw6c7ucXS4q3cr43IWCThH m7WjetTgb4LTPclHBNCv6Xr7E6vrk6pyFJ1uofgtu+WeIimLB+POzfojT5C9 Jivt2ve/wPKTKEvBsUNU0C0Oph/hoIHTb+lK23SGfTX66lUn1umgFXvb2CsP s9fLPToa1Gm9//v9kWD/hsZXBJBms5PrEUd2sbsi03nQAA8BmxZukLSwOk8i dF+hMBkooZLeazHILtkF/UZ7jCjAutF/2t8S8YYraRyz/DEC8X0a/BcyiaD2 PPuMgyVml7q0o1EsFeBQ+ilvM5a35HhGqtSHIj6P22U4Lt/F8lKT+xWW1eh6 pfXvNet6CXDRPEzTvWwQdhLiDR9zkuFGA7/VUhrDuWSH9DQDjOlgKL5Z3Tud BLVlimFbnXVhiOmn6IwbAfTUuD4u8pFgpcpI/LZ0GAx4vMxxsBsFzQLZSo8c IljKzL6ZYUn6/+tlblrm5i/DgRNh1VnoGhXe9L2YURGiwcTH6QaPOIb9h5n4 OIc2OhBdtlK97mD6vK3wJ8lJFuT53u48i+m7gdyN9lUREkhW4TX3UlFcRIZ2 yymq4cFl+vfkjwA8gN0VwTu7yOB4ROnm5mD0XLJkuw4jawoE1eqPnj7O4P+4 F2JmbiMw+Ms09OxtIogbHaV9KkqCtqUd+c0apbASVnvxNy+mA2HtZgUPEM9z cRZDYsw48HYKmmxapcP/AEpDdWY= "]]}, Axes->False, AxesOrigin->{0, 0}, Frame->False, FrameTicks->None, ImageSize->{204.80000000000007`, 204.8}, PlotRange->2, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], GraphicsBox[{{{}, {}, {GrayLevel[0], Thickness[0.002], LineBox[CompressedData[" 1:eJw113k8VN//B3BRtpSSLamkJKKkkPrwliiRhBRZKoTIkiVZyxLZo8WeLaII Zc1yLDNEshNFZCaMZa41e76nx+/xm39mnn/dM+fe83q/7j5Te53bjAwMDBYb GBj+ff/fZwr+/1eELX/D2joBRyKcqVfZLsAv1Xr9ZewTQmOH9NgMYHMjR+48 9uilT1f+1pkC/3naFwJb1COp/DLbHeDlNc4dxd5z9lt4ioY9cCZYGQxiG8mw n1+scwR2dY7GbuyZYf/KPaMuwJGotqEJ2/mYDKcKmxvw7tmzjrBvvnIWsBL3 BDHTsNoP2CV1CdXBGg/hLHv0pdfY/G+ZZvVkfcC49nTyc2zJDYEFv+t8wf6c Z4nfv/VpbXrpfM0fHPQNou9hfwg8/IRx9DGwuE1kXsDe+37/rV1sQfBA8/WP 4/+uV6wllhEbDJH/rXYKYgsMfiMdFQ8FQ/enu8b/EvDocv5J0IiAVnqzVSt2 SNgRtyHbp+DZkO9ZgL2DeUvKAdlIGHh0Z/EBtkaA4seMuihQpSjdNMBe5IDw 4fBnoFhcHX4S204k7YXIteew9ywZZtcI2Hdnmj1l5AW4Oa9NG2CnfhctDWWN hRuxFyKksDN06oTIrbEw9VhjdhN2Oc8j19WYOBgkuXLmrBJQKZzaYSmWALGD 6TETKwT4Ox12kFJPgsT5DptS7JQgvoqjbMngKlq/6TG2nvLG+HO2yTBnvymc HzshWFPHUSYF5niFpqSW8f1ssD5bTU6F3DOFS7NLBJCZIg50iKWBTv++xkJs McE1oIalwZpzCJLBLpu24N149TU4HKCtHlwkoE7zbLf8cDqEkRVIzfME8Gg0 qbkzZ0Fjn6yVK3aN2eHEEccseO50LWEP9n+k9irdgSwo+ry30GqOgL4sd9ND JW/BV1M1a3wGr+d6QUDNnWyooP5IyiYI2KotwVnUlAsnVkzVFLGZ5BJYAgXz oPSDoU8znQDLQHW1Dzp58LOl6PXYJAHndw75MKM8kJ3IzN8+QcCqZHNkenQ+ WBw1ogmMEnDcVZmpXO0jyOpExL8YIYCbL4X23fsjLFeE/9yKvXu+gLZY8BGM jTbzrf0m4PfmM5LS+woghZSj85lCwLr5V6/YpQJ4OGa8vHOAgJ+PpvfLvy0C 4XpGhbedBGySyn70jv0TaJ1LYWDCdhgI3MSj8AkWiSH/6x0EKMvMeHnZf4Lb 5dYtm9oJ8P4Yckaj8xMoN2rYarYQcMXVt683sQxuXXRrT24gYCxA9E21VAWI MsB9/QoC0k66D3SLV0Eyi5JRUDneLxaV6cWzVWDb38FUWkbAn/yzxgLGVRAo 2RXN/YkA2y1zYBhRBV3ZYp3lRQREWQVwd81WQYl3YnpbLl6vxdzuzPJq6Aw3 GONIIaC20rOFpFkLVC9tukAyAU2kYC8di1oI36FdLZqEzzsDs92Ady1cNAnt VEgkwFQ4kmshtxYWRJbzDGPx/m3gu7ybiwRDX7eom0QSoP198KtKNwmEz6gr P3xEwKTSivGScR18mNx2yvIh3o/BiAjb+3XA77mH8ZI3AUnxrMOD4XVgKCLP xO+J///1hTUSqoNe9/jGRFcCYnwZq3z31UORQp6rgx0BGzJzKzuo9VAhohMn bUiAWs8xObJ1AxBTqXm9BgSwwy9ticcNcM5e0eyhPt6PAxxqUUkN8Cb2WWKd HgFydw7WXO9sgIvpd61ULhNQmJfT1K/QCLnnK8zXVAhwqpaXebftC0jLSVnf liQgmfz2kGFhE8RbxNltX6aDPDe7TfNyCyxeTNrutUgHzb8nvkWxtUKwxCvf kT90CG3d01vB0woCGxuaS2bpwCKKVrYfaYVYSsR2zUk6fE3ekvvBpBX0IolL /w3SYd/rZvMu1AoiZY27ZMl0kOWMJSf4tIHFzn1lcSF0OFE0KLeTqQO2JBjs igqiww2JVFOBbR2gSpXf+SSQDhb7U98L7O6AbQe06fZ+dOCVZMzkl+sAd3c3 hqMedDARIHOy23TABuJnr7U1HXyDQo7WtHdA9Urelu/n6eD3i/bML6UThu1t dyT8nYTDLt3HxP/rhpjys7EsNyZBttIh0OZqL7y12Rb5tngCgr6Eh6of7oOU CCnzB/RxaF1ZF2wRG4CDHNI+iULj0P1F7++rqUFY7PextDo3Bgxe9x3kTg/B 8aG3ckPnabBSLKH48AUF9k9GSGurj8Kh1Fw24SYqmFiRAjMPjsD8Hfkp463D oCDBYrlr8TfccI+vkT49AuKcstSjrVSQlZZZP6I6Cgufc99t8aFA4blzw8x6 NGjT0Jksx9e5FDKX46E8BuIdnsZBzYNg0+MvZHxsHJ5mtDGcLvkJdcXN5q9Y JyCLk5kpf/oHjKWoy+WhCTjFk2Ul0dcDzo+srS85TkLCoFHB7FgXSEQfWlzd RIeh92aJmgNdkDyoQhFgpcMjZ87CjI4uSOzYmyPHTgfmb7yOV8u7wGawqs92 Kx1yz0kezQ7rAr89nllNvHTgSOvkOybVBZ9P3hjRFaWDzYxncZpzJ/ia6Nk8 wffBXJpnQmWlHZ7J9Nk89qfD9m4SuktvB27LYgnfADp84reofParHWqNXj7z eoLX87dWcaC+HcRsmHUdQungMdtnePd5O2y4qPxS9TkdDGf2BN6QbIeDx+YF ctPoAE/ik3NM2mA5vjnAq5oOc1V/KNu9W0D2B48l0xIdvqkfGam43QLKMTmU UPycB5YKFVtptgBVIfAIzyodpMf/VH0SbIFyHdIR4XU6nCvKfXm5rBk2Z5C+ SW7CuReWL6iy+BX+1K5Wbt5OgIS64iHte00wH5jj9UuUAMFfy8979JugmtUg Q0UM55542ISJUhNMOXvFZ4gTwLl56YYVZxPks66MWeBzt/TN0NEu5wskBWjv 7pUmQPXiT341WiOwc3XX+ikQgKbubT55swEKs/9WTGvjHlPn1RSu2gA7hVe/ qekSMKybaEMVb4DXCt8DXl0hwGP7hFro/Gc4J7+SqnoN55p8XEpz8GcIjBPt 8DXCucA+17unsB4e1wgwl1oQEOa+9nOetQ6ibmlrc7vjOTJ47ZM4nQxclotj Ch4EWJv5xJl0kCGZrYjPAudWgKqgXW0iGQ7LKol/wLm20dPW30eaDPL/7ZOW 98PXQz5erYYk4CzurGYMJaCAC+2vyamBfaxGwX4JeK6fMCu89qwGrip597jj nD1gaek+8aAGVqTvkR1eERAUKZG2Q6UGJDYmeejjnLb4PRuh/70asvrnr/G9 xnOW+qungrkaVpST6nXeEZCtHOq+WlEJCx98FKtKCDhrV0tffFIJieu3dUNK CXink7ZjTrcSlvWGN+nhucF/69WDYVoFtD+POUvFc+X93YtTZTwV0EN0Cs1U EvDDlSPxsG0Z6ATcNfxCwjmJ5oSP7CoBfiWIc8JzLEt3rj6GVgwir73zWFoJ ENnwLIixpBiEo2Mi47BVJGSsO64UA8X8XEF5GwFrJ2q7rMOLoODrrPsMnpOG 3J0r9zYUQlXjFrYDPQTcii2+2NJSAOQrPo2vsXdNGvYcflUAru+8rh7oxb3G zeHN0KkCuEZb+7r3OwHGm8IMzjt/BFHT+FOsfQSkxzR8pA/ng0GuBXMSntti b6hRSoX5cEdb3Y5jkICdAbTGSL984KlwSH6AfaL3tKa0UD4Mbr5vpvmLgOq9 7S02Bnmwt3PebHQIr481fdg/OgfCOUI0qLgnNJEbAnhO5EA16tZTHCag30WI J701G1RXxMWjsY+Wem6uZsuGFN5BKVXcM3pPpX6e8HgLytUHiqJwL6nh0Gjn vfkGOqK9EmfHCBAfDforNZcBQ5XmUkrjuGdJSkupP8kAs8zQqyHYD/mYit3y 0sGYOcpoN+45tQGPe78yvAbva7u1pHAPUgykFw8+TwO7oAKPe9i2suo1M4fS wCnb+XQ+NuufPXbc2qlwn+u2swTuUYliIlmXUpLBiwV92Y571tsIdjtDmWQ4 vqQXeR7bXb2PvSUqCX4LMo55YC+aTXitDCWC5OXIK4PYUvUeXZybE8HxuIPF tim8n07PF4WPJwDXlOFmwL6/h6hX9YuDaS2drTHYzxddA/XexYL0BYO7NdiJ rXzy5h0x0Fp/23gce8s78Vjv/dFwveDJ4slpAqiD1OvBGi8hcTk+1RhbzE1F 5oXTCxi5/37gEfbfZN/rmbXP4L7LF65a7Ic5mSV541FgodPBOoQtx8t0tWRH FBQLdEWuYwtqUp3JZk+BrbvaSBb3Toes2zte8kUAZ8bbV1rY0VeDWZMtw8Bj V5CTJbbjfFBqHkswtJrt747Cni6Zsy2+9gR4XvabZWCfKWXWqXgTAF4Swf4l 2LHzLKY1C/7g+PDQyQbsSGel/LrzfvB2odi7B5t0ZlGnMdoHDm09qT+MPTlA L4hreQhyFzNJM9h3JDmKkuw9wUGDlbSGvZzU05LG6QZFhdeusszi59GZeuhN rgvIq7704MS+OIlGsrQcwYlUe5wXu/jFn9v6A7YgtnXQexe2SbqmqdFeS7DZ Mm60FzssKn37zRs3IbaC+nUfdmmRgm+9oi7oi39tE8be3ddCV1iRhUT711b/ HDWqop+4EdDrUusoIWw70TZ9wTN6aEVFSGs3tn2ciFvgzVvIyYT8ih/7ptte lYdCVuio2XUfLmxlflkll0E7FFc18Icde/TTgacnWh3R3Tm99Q3YST0JGpJS 99Gb0Iq4Bfx/24Nm3x146oZiRPka/r0XlDLFBgtMeaIeJ7Pgn9j9m4eGNDY/ Qn8K6ymt2B5jRHHQKx/02JprvRrbQqq+oO6YH1pQVenLx9ZYLmlgJPsjETYT j2RsezveEQX9AKTkc7MvDFunUmrNdTwQ/Qy8uO6GzbUw2Dm6PQR9oVKDL2F7 +ux03ZseinZJPJv997ysHr7SceVkOJqhHNmzB/vhQHCFce5TdInzeOkofr70 +5N0/zyIRF+6E8WasMnr+qLhylGotmjZ8D02u5ChVVnXM3RgKoLZHvvC2Dz5 ctJz5MnwxVvzn516zvy2eoEOR6+ViGN/qeJ32bz6Ej3S1HL6hc8HKWgjXUM4 DvFfbFv/d76mVQxNe8fjUEnGXCA39vE25aLbhfFod6Fg+wg+nzvQnX53tUQ0 ZuebHYw9ld1yUEMuGdFf/nCrxudf0sh3miMhGT1xM+QKxf7klcbRzJCCmq9M 3dXDFkn2P3CpMQXVMZpaUXF+kCo5bFWN05D1pTcPZnH+zEh4aW6oSUOT+duE C7Bf/ma6UX7wNdK1Tg1zwmasyNwkNfUakR0vvKPj/CqMTZnl8MtAl8gzDN04 7zRKeIjqkQzkaDReFoo9wqO+6nLxDWoqE5ZXxr586sJ/P3gyUdyCgXsWjQAa 8wo1NjMLUXmV+e/g/ORf2n2X+jUbvecfIGXjPD7+xFw9TCoH6bj0emljq/e/ YJF5loNecLzbNE8lQMlqidNH/z16pTzkcxLb2Tx4mp2Si57msUjm43yv2cJ3 Y9ojH8kIhmjfwfNCacvt0dM5+UiPES0t/8T7o5xd+/hnPtqRzXovBNtP+LMV 35kPKMaD3pTZj/N9KU1emvkjEvzlfarrBwHS51wMVJ4WIHLv+6m5bwSY9xmK +FUXoP2610OdsPUP14lUzxQgRe/bC1Pd+H7GNJSf0itEpNn3p0e7CIj/w7zt gEAR2ieU6PUZz0f1yMu5X9OKkdIfn3EtPG9DFgJn7Is+oabgVy/dyfj89zFx V41/Qq79Uj9IeD67mN1n4NxXhrzWx0u3YJ8L7pfKCilD0jFrqvE1BGTUsL9v vlmOZn64xqYjfN4VSRx97JVoRlNdxhX3g48F08sL76tQbFzOw63ZOK/j512C G6pQaZmjgATuF3mzK1KC1Cp0qu/xZbW3BJT8MTVV2FmN1vorwz0zCRA+/Cvy vl81Sk5PuNKJ+wm/xczu2ms1yJekxHkG95uxQVpl+XotOshxJIwzjID8g9V8 9vwkJBIn8I0L96N3mixZQsdIKK+ldJw7BM+TXr57PqYk1JYq58ITREB3d6un PJmE5OPOs7M+JqChf/a9bzAZVUu+UP2I+5hRm8yQI3c9OvpbVl3YhoAeBgdn dsl65PPd8e/fOzhfrX8LpajWo5nwj97frQhgK6ogfblfjx5HOFDCcP9zDf28 m7e3Hk2u8MPwLdxPTzxR9k78jHoj1S8Y4/fKCkpSzQuRRqRm0rFqjt8bdzW3 Ge1WakTx8xV+68q4n3yOIqddb0TDUQ9TY87g9SevrGVHNKIyyYY3dYoEbPuy Ppq31Ij2PVfu2C6P+yNDSYLX1y9ordaq3Bz33/z720SEnb8i+JGptcaN+9+w 1Ku3Jq3o1oNdDmsDdFhtawz4bd2KTF0cBI1+0qGRR6xhr2srUlQsiSrto8Os 1XmDqIhWpHfftN+hlw4RDK9i7ataUczq7ERrOx1KZ0yOsgu3oRci9UzX8Hsn +6k5vXJqG9opEvTEI4sO+QMxfUuWHchZZXOvmB0dBMpKKkSvdiP234XDzBOT QLPeJuXt3Is6/jPRc1OfBBPeb7Kg2YfKdZEXkTwBJcejTLi0BtDt41sDlbrG wfO//VpXeX+hjIP1hilLY3CiYF/yx1tDCK5eyKnYNQYXJRlL1Mop6EIV92PZ nTRYWJSc3jFLRcPR8CCVbxTSV1NOsPMNI90R7o3BHCMQNzPJUqMygmyu9XqK /fgNloJnKu9rjaLxakMnjTwqMA584l7VHUXG4exPF95SoTvkktIj/VHkotWR m5pOhcT0YZ7Ht0YRDZUszcdR4SVre8Ejp1F0wZ6h8uljKsydCYiE6FFUJrpD Ofo6Fe7Z/1L73j+KFk6fYhljosJES2KP/NAoGv21xOz6lwIpRW9kY4ZH0a06 AS6mJQqcvd5spE2MIkIjVIOfToFctiiNQgYaGu/315HrocDvNg//s/tpKOt3 xvj5bAqc+SM8GCFKQwezlqvIGRS4YVjP/OMwDX2foaYrp1Dg5w+ZAtsTNLR1 PSRJ/iUFmFLoQf6qNNRZH24g+IgC45dIcvUXaChVfsPHKHcKdL+Ze896iYYy RcX2sLpQ4L34i8XAqzR0oilLfOoOBfpuJTaSr9OQYENwk6k5BVJNpG4z3qCh 0eZjPp0mFJi7KPBZwYyGJHdT1FQNKFBnKTrraklD5L9D+wt1KfA/Xinl4w== "]]}}, GraphicsComplexBox[CompressedData[" 1:eJwdWHc81e8XR0VCJUlll5bZV6kojpTKDCFFVpJQIWRWRiWZRTSQESF7z0fI Hteed3HlGvdjhsr4ffrdf+7ruef5nOd8znPO+/0+V9Tyod4dFiYmpgVmJqZ/ 39Hv/30aUW+ig+K2vlHkjql9vrJajYRrL3k/XBhBzqOOb8bGi9CnNCvzn9NU JMEqvidGKBn9ykmvTaVT0LSA2d5X5EfgdgJeWRWSkWxRRFa44zeY3TdUKqVF RIGEs8aHl0rAOZ6ccwkbRN9Et1QbCtXAMV6+e2kK/Ujpd+0Jn7EGqNCyJig7 9qBXxSnJlzjaYMNU25q3pBMZJTxMkUjvgAbVSw9b1NpRgHvy3fG1Lrgl5HnZ QbMR8X9R3XpXqBdytYIf+p2sQZTfCfmaSv2wQdU0qcovRjPVxIt82wZhzan3 6J2VZDSlhT3ZqBkC88lfFfx6gfBW7W/+3Gki6F4O8QmRywXPlY4N8eskaNPo u1MqXwVht5xj06+Qob/hP+XwfQ3w5vG5gqpRMlhY9DsbhbYDr2XNa1ZBCrQd XErUGu6Cg+L8IdH8FCDkVydZUvsgVWb0ntUIGQIIoJAdMwShM6NLgcfIcHQy wnI9hgz/2Q/LmxwkQZVP8xAhgQp7T72zFWwdBo6MO5wOZqMwb/0hMuzvIChq YK71kmPQuVwkeXK+H8Klbq28qP4J6loU+tPbvXDZPr1+3006FLzxep8U1AWf C87n6NVOwO7/Nn6NJBDA34D93NfZSVjM0VJfd26CMEMWU/5t08D7pDV9Na8G PPS9xmZo00D7dPbbjogSYEoze/cmnAGuAe6nk44kgSytcOa5IAaTCoVPT3W9 QQv7wlVbHmGw/PHJB2ssH+lnih67moCBy+GHG3q7qpFxGfW/DXwdeNZ45Z5P Izq8qvYVvDHYvLB3disioKup0X/MJTBoqTri/da2G52v0D/+tJQBV8BtveNq P9q7KpdUu58BOl8P38zcOozUawirlBvTILNPU0jBmozUovuUpF9OgUTU24A+ Fyo6KDAlPuc3CamGTF/us4+i11vJ0UddJ2DvyHbHt340dF9juFvWgA7bPXyG yrb+RIsaUTeHmMeBvT4Yyk3H0etLWfWemWMQUdqt3VtNRxO77e29+Gkwc+uX jdzlOuR42zpmyXoUtfvb9WZig6C34/zOlU9hSGWX7uH558PQ8NLuOfPdLzDf fcZoSzsRyIeiNPk0SkBZgqhnNEACo9tqMsKHauHB56I9q7FkyCoMr4/paIbq nm+ZU5wUSBiXvMLX0QH18iLXqKIUmM59Kkwm9cCekM/ZLhwU+KJ54bF91QBU fAzPPvWGDA2iEnU8n4kg9vLknE0OCSIfMN11KKXAgHfD31JfInwNrRY86DcC Vtru+f6zQ4CdHS+VVaOBt02zmiTzIMxGKjdN/xkDk9X0Ob7CPjhcb+/T+2Yc WE34i7ez9MCV9NQs+d0TcME0QOi2cCfwpFsclDWbBO9oQc+P060Qfzmb96bf FDy/0000Ea6HqPuSVhSvafjtE98ierkK9j0QtPNQZgDdc059lJoD77YZNuQR GfBpcEBQseQ5bH8p3TmhhUHkI6nQkA+p6Fv/s+u84Rio7yI/efaqHIm5RvIW pmBQV91/62rzD0TblsNcG4HBt80Ft4T9WtEOg5bjPjcwsKfwRPe/60Sqte/j 5JYZ8LRL7Pc58160mVfD2PghA7JIKm2NMoNoLVh0T27lNOQKyekulBLRjqOT siKLU1DdJNiqspuONqvrWW+n0+BBrwyH90w9euTwhGofN4qMLdzZVZ4MgvZ8 MNneIA4t5pIkGIeHQTJM6UYl9hEkjn3crPucCC4eUsrkigKwjMpRePOBBJk8 3BXy0tWgEssfvepChrL202yExUZgDvo9UMlEgXTOK3v2txBAX/7CuW4RCtBT WSGA2A09Ygc4GnZTIJeFZydPRz94FeszrleQQSmUFzOOGwafdedJ2VkSNJDm L3KrUqB3v7dpRg8RDiPW0448I7DTzuUa2WIY1jh283L0jAJHQ7fV6rNB8FjX 10yKGAN5h1tum673w86g5vxaiXG4fEetUL+gB6rY7Fgti+lQWrNxY62vE3yb ykcmdk1CJt8WVsmYdijj/LvJ7ewUmMg94OJqbYCPthW6XRenYXvUE6fSje8w uJWyg2U3A2xkSYS2ygKIGmltlyphAFMoL/yMfQ9/bvZr7juNAVvw9a/6T+PR Sp+Z4JIfBumV+06XlBUjjq5sc7Vk/D7fcgLfTA06rrFitj0GA58C2XfMfs2I oBpJzLbHAPOql7ZL70BHiZ2N5rswaJ13kxO27kE3GEKuwu8Y4LjA9zpFeQA1 srre6mVMQ0AI85lvI8NIcOLg0tSRaZgLVom8WTqOFKao+7drjsGjakmN9d0k sNqqrbeFWA5PJVpq7vKQwd9W8ZCaUB18Y6PFRteQYUjzDndfVitEWZ61NtlD AQWWP5ovezthTyBryCH8/n5aSMzKUnqh6Hy6q9wGGe5trZLUzxoEhlvRwi9z MuzXM7fMiCNBsI6Zhth9Emzd1WLEIUMFH3VN/1fiRGC3Ss3qmhuBhhzNszzu Q/C7mZ/WVkaDXkMFswcnW4BV4iIdGqaALt23es7+BwTSrHiVc6dBO/PO8Mru CjAqsrpvaMuA+7D74NrfdOgjnFk/tIH3n7kXt1vSQxR0ZkBPwhKDmh1JqxzE bKQ/whp8/CMGbo1Gc4kSVcgZ3st8xPN/7lg6R3tyPWI9IXDjSCAG2iPNcYE+ 7Wh7taduyQUMEp8lE5R9uhDtwNXs8QEGkLsDjz6wp6OHz1YLn/vSgKRSJ2FQ 24A0XgRl65eNIl2p5WOJFwdB0Cor8va1RMQt5Sk+/2sIstdmjVICIqBG0KaE 14wIiW+9rvP9zgOfe402ju4kICg9O5V+4jssCC/IEs3IoJARFLzK2ggES0c9 9QUyoOhk53Y1AhgS00YuClNg4drX1DGTbpB7orn/2V4K2LmncF280Q8Vlkl8 nwlk2Jb7eSJeaBhUnNUTgrjIsCXi7nPBbRTQvKLsL7VGBIGChVTFISrQxofU VaKHwZDDy9P2wygci9hIwSoHQfWj/d1x8zHwZ66d1P/SD4mhT0fuLf8EQZe/ 2ju4eqFa+O3HwFd0COq6FNIh2wX5Ad8dx6cmwNDgYZGSPAGWnM5i9numoOub +pPq+EZgL9sW1ILXo3G7EZvdYDVwW49tb1mdhiB+nfSHaUWg+ZZvofoLA1hb 1qeyvT5D19eNmSRxDDrOCyvYjX9A1pa/Z1S8MBBKSjr7p7sQnWa9axKbhMGU pwGphqkGdVW9f6D3GQMpsVPuFr5NaEHw7oKmC87XLHeTrst1ID61tNrDwhg4 6Qw0Pad3I+bdJi8+fWVA8e0nvE4N/SiJXpscsZkBe6+uK466DKPa1dJE0fPT kHHbIft70DjStZQeeuw9hus4RQ2PeSKceOo84MFTBiy7xuRWlkigZfq5/L7o D5Dl0uvoyyHDFKYmG1rVAh0Ea7lVbgr4M6kUV1/rhKNfbnLfwvkuqSTW47VZ L5Atz2UPbKHAJt/Jw7OnB0Eo/BB204MMHxtrmNlESHC1qP/pUigJmGf63fsW KZDo6TGkdh3Xb/MG6FPpCKxYaruFFAzBekhOVR5ej21XOElO3K2wnGP/UCp5 Ci412M+4XKoDlQPYzp9R03BbRbUlurMSEn6mSpcbMACyH/95Rc0C5h3FF9ox BoxHxuwuyLSD6itBk6ZGGPw0uhs4lJqB3DjH//q+wyDCksPFzqESzbzXUnbH +aqlaJTtWEkdMtUO9UWhGBTGEAZCfNvQDRUn6ow2BhUjx8ylObuQRYCOdyed AYtriwfDlOnouQ2roGcBrjc0fWLZXpNBefI0sI02gVt6qogkGwW+kjqCArQ7 4K2Ut3kenq+LrOeZZE17YH8K74uHOymwFuiq23JlAPpoy28Cv5LhrsWHv/3C RBj+3VY8B2/A5cQzk2EVDL5GfU7RD/qC9m3mT/mJ9zdJ0tciMqEUcR1P26yL x//CODTqMrEWPbcA7MR7DERW3yte8GtBPGZKofa3MdiqGzK/bT8FMn8oulrc 6IJFlvUyeSEKHFrINe0w7wPZDc52hzkyzNGMgiIPD8EOk++1oWO5qMZM8o9Q HAafeCbXNgt/R8Y+Cf0CXzCI3yJOPhvRgBjo/f1VnA84D8l2D0bRUZLClh/H r9JApEE1elq6Eblxy7w92TiK7khGZ3scGYRfBE6Tm4e/INqjzng+4hBsnYu+ zd4fBo7EuozPGkT4lltfKs6XBzYVvOVONiTYrerVHVtYBUGVKa+t9ckw9sTl g3xYAxz5rHowe4oMF5Tys4u3EmC71R6/s//eZ/mnULRAN9iNLMmL4O8roWfs YCDYDwIil5JzB3B89wnOlSENQZ340yNF/Ph8QB3acwT/fchwhffhThJ4RJ5X 3Y6o4DLJTqXkDsNm0fvaK16j8F9RSe49Iq7nhZ1TRy+NAbtQIPtCcz/w3zqi wk78CcIbz3c6nukFzTOrsmOOdKCxfXk6ZNYF70RTLsr0T8CtrhfovwcEWJuM TY/fNAUBHLanwzia4JEttyL7vmn4sbygaXS5BggrAaXzs9PwopN2zCeuGC5c K35c85EB9qL3DrjqJUD8mcI6cTEMrp30UJ8afodY24T3irhhoPD34oE0agHa o7Bh8DoRg8FxtrqQV9VoikuqoSweg1COYydnmZsQE4d3kLE7Bv7rdSGn/xDQ CdMUG4NDGPRf/f4uKrUbbWpgUYzPYcD5wX1nZYL60aaifM/KHQwoyemTNIRh NDIpcShMaxpSD/q8anEZR/WX6K9Z341BeaRBG5FChMvHI1sOypTC4LYVMW06 CYKeDbw9mVgLFgJZ0sF4fReX+NzlUGuBzvLh8Vc7KPAyKT7h3q5OmKZ+elWA 90eIYVqKnHAvHK923lS+lQJyz/15ZFcHwIxnmOL+ggyyJe/S9uDnfGm2jRv6 TAJ9TvuTaX0U2BJraSx5nwhrbxeE6LEjsI1t8LxC1xBcp9IaN+7QoHti0eTC 01YA3fffhyKm4MLmVNXdeXVwoeNdmlvgNOjVX6jNyEZgZTQhe1yDAZhBbWDg RDZ4FgqL3vzJgE1YUXV9shdwjql7yV/DgEH4soU3IR1Zq9sp0t5iEOe4hWPZ qwIdUVWjpuP9mGzCelVFpQ4x3DBV/TcYvPnhdWiMpQ3dOid+RksfA7qpcd3r jk60febkbt5ZBkilOZo9FqcjIXYL9o42GlyKFmxKeobPq/OaTmS7Jvju6i3M sZkCN0zmdmhxdUBjjMD4DTxfLIn9jsOCPTAfzjSWtYsCV/NCYuc5ByCqOOWv aB4ZRBRcbRLIw5AS78DHNhsJx0z4A3kUMbDdu+tP2vNE1NPKmfbiJd6/7jKB YlklaOXeaDgV1xNunYtiJ61rkV3SH9oJXG+YOuanSm9qQWE9C2kHbTAY6iD9 UsP5WoLEQZ/j6wIL2XS4hPP59Ip1oJ9IH+hLZrF7rZCBoHrB4ffkIIjQWw1V qDnomVr5e8D14aD2kofhlyokkvJkbQbHE9G/PItBgg2IuXavlBgeD4mkXSzr S0fnfWP2jtvgfBAy5XsA12vypfr9cjHdkCDdzFOM67leXQNu6ch+ODRQJWPQ UITERWyvB+D+XirzRc09rkGLu4+r1MRi8CTw8X0VXJ8X7+HgOxDZCfV1+Q19 uD/h59K7KXG9ID2qzkXKyUKcY3pFc9EYHIo3UBi+jRBV6aCOEH6f9++9CqXg +W49pGUdENsDT9fDf7G/K0N3HTI6o3D7sJGrbBw/BYa7gp73fOgCfrhJ3RCg gMtvCp0/vg8WWwSW5ibykLbtzuY2nN8Dm/ZXZkZ/RzEDXWRRnP/DznUnWmfQ EadnbZSlHA24ZrOpYNWIinYtL4oQRpFtJa8+Ye8ghOnN63nvSEbprQlKbwlD 4LBifzGTKQTYBRZtCeeJYERte6mXnAvBCb5/+sxIMBZl9u6IWxVMnLR/H65N BjWlW9wj+g0QnWq4s2acDGf/8F+xJLSDnPnU42RBClwRK3RzWu2CifJaYyqO n4XOia9MNvpgi+qPWD4SGRZnf72dqxiCiA9lo+kHyPAl4KBmZBmuk/2/n5rd R4LyRWvNOTz0gZx2G46qYTBnY5k89WAUGiI0015ODwK7KfF9v/wYbG59fV6Y 3A//aXzVbGn/CSGrDhQW7V5Yui97ZrM1HXrrDY5fce0CJVuav2rbBERYyX9+ E0CAkq0dBeJ/JsE3/ZHaNeUm0Iydjo3ingbZR6Pped41oLjs83RpchocSn8t 9e8rgcUy8ZM5+HxxT1P6hohiIkzRFXKIIhjEBj/vWuqLQDF9MVdXcX21v+5T AatNAbL+4G49n4BB2ohDxpxWNUop7zpnia9DWpaSs743onHXW9N6nhhUjnpw JgwTkFMkFml2FAO91w7n9wZ2I8eIXG7eQgbkt2bSNj3oRzyf9rNd4mVAcrto 9BaxYfQr0vdy+bVpwFbGGy7bjiOlg7ZGFxPGQIt8cvvvPiKskIakdleUwKf9 GZnDFBKYqX0zP2RVC/l7NuxbE3E8KNNr1OVqgTMaApeUt1NgJJH6Ds11QLqQ AEsHXp/G4yuO2zZ6IFGKj/FPJw/JNsnokAZAdt060CqIDLqFDk/5qoiQU9MP Uqkk2GVnPbi9EdcF7glH1x8T4XhH+Re28BFgiXdKmaIOQWX5HbNP1/F6PJcc sl7QCoZXfoyLBE3B0iHdWxcm6kCMrXYkx28adCXOmdTuqALXvdjLQVUGcO6j ZdfeyQHRjxR+rhEGBHGu6gaz+sIrEdLMOx1cTzzK91GLTUOKzTc6fHF89PnZ zDi7qQLBmPO2f/8fWAff0WtirUPsA2/rwnB8jbL3z99S04pi1+9aTBtisHci S/FkfidSt7KKSV1gwGQzc5i5MB296qlrdBqiQX+go9ENTzIMZqWn6B9vgkxI tbRloQApLtIzd5oAF7b+jhTA86Wxlnood60bnN1d1qp4KBBxZnvQppl+uP8h U0StmAy89yMFfdAwSNvF+0bXR8HFS9yIXwEDJbFYPhffBOTyXelx7XNcn68n 8TyQK0HagrlvPuD4GWlm2JMsXovMsr53HfqEQUp6jSh/TTO6OlLk99AWgwaz tgojPgo4Va0vnl3uhLutNq/LcPyMPFsbbMzUB6pSdcsjf8nAel946kjrIARm yh8QM8tBN7sLtinh/uxlzqZ721ShbN6Od+r4eesUl26ZkXp0wunm9bQADFKn LJn1H9NR3GkpkxIXGqyzyEiV4P7p3vCIy7sbflR95I3Hz2fXupsq/7gfCOJd rsnaRag2qdR9L46fmiNlOcbnalCm7ExYKK7/rMPLesXw/CQnxH9xdO6EJRdp dhE8f3V8vUsFT3thW35qRE9GJnoaIGxUFYXBgGjzbbHJSpSu+x9BB7/PQxnX /drx/SOWcSK3nvRA8UNbnasCZUi5PPXJP/2t61X8bRDHm/O91MX9Hl1gDl88 E3A8OvNBh3f5WR8QpLfaVt7NQ5J6tZ2reDxf7gj4Dhp/R5uDW/STcPy8eov7 QlICHVUPU9I1VWhQ+kP36w9cD5pPc7yqPNcNjsqHinSMC5HQWYXVffj++an7 YyF4PLFy27PNoReKCwVicpYqkOKp2E//8FzLV1oiCLc3DRbxsin1gPt/jRbD R0uRXbW7xf/5QPR98j//u9uDe9KU+0BonVVNeqQKnezxvPsazx+1n0F6hvML 1ciu2bSiGz7meUuxqhSjZp+0FQZu38xUouGP2+tPHahmr+qFy8FJjW+ICG2o rNX849+eJuKzn/j5gv61VXmVPdBL3Lr3x45yRDeY3PQNP9+x4MFf0WI6ypM5 4O90lAYXI0yNp540IpVNphffdY2iN7dkE1y4B6HbQDppxS8ZJbgWq2k0DUFA rX6B+rEgyJMcJI6cI0LX8sAa434u/I2Kr/EzJkEy/62yGaMqICx7ln/WIMN1 u0zCmdMNcHxA5XXtGK4nKLvyh7PaYbYnhXgdvx+kpLNgNt0FYfBVVgnnP/Ng 0UKz2T4IskxjP08hQ0WOhFZHxhDoqkseEDpMhni+gx5N38hwxuDo8FchEgzq efhSU6mQp/bZI6puGI6ffH+s23oU5LbFf9++OAih0iebdE6MwdHAj/Hf6P0Q dyoxQ7zxJ5jutluvMeoFxtNlqZ3mdAibXXzg5tMFN0ZPKGo1ToDsiRFieSQB +A6s0G1/TULct2dt6TebIFi8vHOQaxpkHm/3GIyuAfmDmk8Wx6eB9Yegx4ph Ceh3RzscjGBArNkdgbu5iYBlbzp8Ap+3V20+7AjreYuSU5c6x5wxKDiqevaU RAHapUDgTsD5QWqw9OWB49XIf+TleA6+Dq/idgqOb0S9OgJx6vi8f7uZfa6n lYCGfkZbUI9h8Ouzf5ChRzcKou010ihmQFgpU82UaT8aDUx6xLqXAdo7hlpv 7hlGQzyLoe2G00Biukb0tRpHnJr5Q+Zfx6BXzI7bp4sIi+Ljt3n8S8DSuHFY gEgC8eqCw/EXa8H3wciCdTwZmP428DyeaYbJxjqjKC4K2Pcxn7ajdsDiJfXQ wX/1NaHZvIj1QOwtG55mnC8CM9WCTdsHIPj6mwydUDKoEJVO7MkmAo1xoFcr gwQsfgabqr5TQETj039m3kSIFmQe5Q0cgZgEOfmzE0NQ/f7LNRsdGrxtuEHQ 6WiFtjjttcqXU1BoP9ept7keVrrPeag/mwa1H3/4XCSqoOV9Rr3EBQbItq84 9yXmwMu82b9UMgMaOUveLpL94GuLQd75qxhsOvBs+p5AGpLrMnrXGo7rLcYB BdO6cnRmJuJaEd4PSodL5bgmfqDzAVzBEhEYlEvyWPEktqIWx7jdZ/D530Jg jfHiSyda/x2X5fCLAXlX14M699FR7eBLk+9UGlz9FSqa4UaGtIid4eG7msBE 2n05kpkCehzHWKyHCeChSG38jferplC7WAyjGzjkHvxQxfWkoe49Dw5KPwxV F4V3leL5MtvD/DBrGPY9K6JfzosGDjPa4MczOF+ldBwZYUpA0n9vt5P8MaA8 DnvwdqUYuTYoKT/C+93sdpIumbMWZfLfu/QRx/efDWn7dyQ2o1y/1mfhdhg8 fx3/awjXu5+uFrlSf3bCTtPoX3M4nkfJbde7PNsLjz2HakPWyOAqzaWnVDkI b65gV/iEcpA3cbqxGNfvX3P3TO5Ur0Iq3P4HnfHzXkZ1jT6trUdN5s/X7r3C 8SrR7zfVkY7OclhdEvGiwXjxKetnuP8kY0mP3/bd4OJm0ceN6/07v8WZwaYf 2lh+bSFwFyH3tDN5wzieUkLubg4TqkFyAqLS8zg+ryXsHA/H55Gg8KC1fVad wLu4bRHwejswGVzz+WEvWB/yLO6VyES/zInHDuJ8wfbch/NKRiWS0/JUt8bv U/OcV3c1vl9gqiLw8oMeELwTp+RELkWV3z+9+Gd3VSPKOeN8ETJpu6vyXhdc jmt5MYPj0d9dxgY0B5wvrky6JB/OQ82Xyiz/8Vfmy/Dxh4rf0VHvfT1UPF63 1/n3lWPoiCD16jG6QoOUE9/nfXA8dy7WO5cu2Q06CrIc3kKFCOvgnu/C5+nQ FKWYxH98px8iqyHTCyLVd2y6SyqQK9dhlkQ8npDKKVtn3F6r2FoyJ9UD0vfv aTFNl6ADSQ+AGbcLsey8xfbvvhRlL0cd7wOBI9/8qmuq0NNvPXOVOB8EH360 8xpeX+e/LiurZ3RDjHnEPaktxShm1OphOW7veLjNKQu38+kJ/lnM6gUC1p1R 9Bmh1TgDjX/+l0M6p2j4+SfXl7ljM3uA4JfrMd5ZhqztHWX+xRd/6fHxH7l0 ND8rqT0lTYPfUjvSa/H9WotO3CI7euFj6HDgPuUKJBYfJJ+L78+5OB13DrcP ZY9DPRc+7+jLC6s5laAqJ0cjhNdPf5SSzhoez5lX1ruaQ3sh+wGbC9MRhJ6N TnacwZ+XZATYD+DPQ343cgrpAT2tH6GSN8oQqjrNeIXbRQSSLB7j9mzYJ+R6 tRf++qslhpyoRN/+Sub8szN4qEfi/9nvy/sJaPeAV93xquI7pYjJ2m7ln/89 gWLaY//qaT3eobGtB8S4HtclaJajvW1PdP7Fr8N2Y4t3BR2999glvyJKg/8B SIFS1w== "], {{}, {}, {Hue[0.67, 0.6, 0.6], Thickness[0.005], LineBox[CompressedData[" 1:eJwl1WWUVmUUBtChu1E6hu7u7s4hlR5SiaGkQwkFFRuwUAkDuyjp7m67EEHE wO59lj/2nOecO2u+N+63JjE5JWlcqoSEhBt+RJ3nRzEOy3eTRE1Sk4a0pCM9 GchIJjKThaxkIzs5mO9vFeeIfA89qEVOFpgnclReRE9qk4uF5iU4Ji+mF3VY adaEq/LzTCB3rNWsJMfle+lNXVaZNeUb+QUmkifWYlaKE/J99GG9vgf/yu9R j9X6ZlyTX2QSeWO9ZqU5Kd9PXzboe8Yhslmpzxq5Od/KL3FYHkVeJut3qAPI xB79STUupCA3xd7VMpySz6mTWCLvV4eRk4+ZyS3mG9VeXI775H2m8h1bPD+u jonzID+fM5cfaBBnqrbgEtf1F9Q7Yv2s1R9Rb+NKrI9PmR2/49lOdSCZ+ZDp 7DU/paZQiJvjftSynJYf4IA8nFzcqt+k9iY1W/UN4+7klrEP+WWmsEs/iCzs 0+eLu5TLcUZ+kH5xl/o+pGGbvlHcpdyK7+VXmEr+uEuz8pyVH6I/jePuzFrH OcmvMo0CLDGrwDn5YQbQhLVmbfhRfo3pFIz9mlXkvPwIA2kaezJryw35dWZQ KPZgVokL8qMMohmFY33mlbkoP8ZgmlMk1mJeJe5fXsoQWlA0Pte8Kh/Iy0im JcXiM8yrxf3JyxlKqzgjs3b8JL/BTIrH55pV5yP5cYbROs7IrD0/y28yi8RY i1mNeGflJxhOmzgjsw78Ir/FbErE+sxq8on8JCNoG2dk1pFf5beZQ8lYs1mt eC/lpxjJZn1f0rJd3y72IHfiN/kd5lIq9mBWm8/kpxnFlvhukY4d+vaxJ7kz v8vvclS+Pd5v7tTvVgeTlf360+p4ClM69q7Wie+ffF6dzAr5oDqC3LFnZsX3 zXxrfDf4mvRxd0yL95ednp9Qx3KNAnwR64j3L841zlTtwlf8ob+oTuE66/TH 1NFcJV/snznc5dkedQjZ4p6ZwQHzM+oEilAm7ketG58tP8MheSR54mz029R+ ZGCXvmPcndyVP+X1zGOvPpnsHNSXjbuU6/Gl/Cyj2a7vT0Z26zvFXcrd+Eve wHzKxV2a1eeS/Bxj6Bx3Z9adv+WNLKA8K8waxHnJKxlLFyrE3swbcllexTi6 UjHWZt4o7kleTQrdqERlqlCValSPtfjdxlyR1zCe7qwzS+IfeRML2acfSg4O 6c+qEyka5xJ3ler//+M1PPsPx1D26g== "], VertexColors->Automatic]}}, VertexColors->CompressedData[" 1:eJxFunk4VP8b/0+WUCFbhCzZkqIIydstlShS9pCIkMiWJVuRLftWhCyFkCJl TUgqsi/ZYzBz5oxtLClK+p7P7/f9zpl/5rqe17mOc17nft2Px32G2DU3w+vb 6OjoVunp6Biw74zH//tQgO7/+yz93286uuoBa0me3xSYaVG7HZ5DpeWCRsqK pddm4a62ncOCMp7Pr7weMWmZhVeF5MZT3xZpuUfj+d28EnNwYFQ/KswbzzW6 f31djpmDK1/zup7vwnMfOh1hwvwcSDy+FFhbukDLf94uWZ4zmYd8Cerzl6fw /CDfQbNd7+fB7f4trdjxeVreMWxgoim8AF1NuqcvB+J55UTEt8TwBSDVcbWw 8OA5G/O1xRVkARJTVF4UVszRch4Ly3Rn7UWIAA16eSM8t192aPn3chGUi45+ ezw3S8vFS/geFLJT4Q41lHM1Gs8lC4e7nX2p4L3a1HZYHM8nu2qen56gwruv hGXjdxRajoZ2RXC0LcJlo+iUXdEUmKdnq2Al6MDXxu9t003zsFVGNN3hTgHD Hb+m9HNsINakZrf12CycZeR722JGAY9IlkwZE2dYzFDpPtOJQtOX5nKf/yhA tk5ssXX1hBY60eoPrQiw0cnoPttPgQTKpfLiNF8Ibux/RkKI8FvePiBmBwX6 5qf+O34jEAYOyTH7jE8Df7egvssyCjmFvz2Ne+/BzjUD11c/CDB6vaSGZQQF iZS5PeUn78Pt2tq/a3IT4O6x3CjyAQV7FZVfrQXhwIIK7XQSGQWl+TcO8s9R UI1umen9LwrsW/kkZM0GIcta//nveBQsBI7nBRdHw/p2C+lP//WBoua1yIbb KHCaUW8K6sbBEufkFqdbBzx5JM/w1wKFe3p0Ht7jCXDPW6VZZaEFXhD7+X9p oSACgc9qxZKA88iZGtHkWkDzVjspMiiclRd4qOCWDJqB8xISDfnw1XRWKJ0T hbT3B9zuFKbQnoNf6D/JT2NkyHj62PiL8DNaTgoeGHaxIINByjF3ScdaWh59 aTy2YQoBO6P+cyN7Wmg5/0V96zlrBAoZJJnlBTto+YTEskIzkQSGt56omrT3 0vIPJ+XZt1xIcPD0/TI9n2+0PDZ6kIV3jggXX1bWtbuP0PLE4nLGQQ8ifJX9 +uSK9HdaHvhjVdhzcQZanzyMfveIQMvDI3tPernOwHDGqtT1xGla/nlpymHf 2jTseaolz+9EpOXUcMvifM9p+LNSTZ/giNDyS8vbFwbWp4Dtwj5NjjMoLe/J v3DCOWQKPgsfvSongNe7cthW4eg/AsipuOjs4sX338DxKe61CAJ8sEh78msR 39///+f/XfcSHFAJnBxsw+r7mnBdczfefySKfEtZTlHBZ1lsIdEU/3uhda3v hkqowD/Z8/3DIr6/dNQFRMdrqJA9nkG/4xFW/6G1LR0fpcBCzFRmo2UBSkNU vHcGUeBjzJ0LF4dMoYSt3VW0aw7ELYKYUDsKOLbd1Tjhfx3U132XLg1QgMHB peLJOQrkP+Xh+pnmBsOdBz8ytJOBZLe2GatAAQ0Jj7rwbd4gSrjzsn+IBNv4 ta+l7aGA4pyArwedPxT9/DfwcmoGov4BMWALBbYnc7uXme6C++6G48noFNzZ OxOqRkJhSsjrTChrKEw78VWlMhGgYE5fnQfb32euJ0XWe4VB/cU5Rnmpceh7 ZZgi/RaFbkKQa+dyBKgOC/DrnhgGpwK67byZKLT2BmsVeT0ABaeaAt9zA+DU bZY2HoKComoqs/5GDKi22vcXqvWA05zOp++O/zve91ZrcjyonoqxkXjVCvnv 6dl/X0Ch7OjWod+RicCy/RCHxFgT6H6081o6hsLR6nNC3q1JkFt95frj9ddw efPWWpMQCrd8xLZ9Y8P2l1KG7ph1JOTPnUwuZUThVUWr7C5IpT2fV3TO//gz yWB99GQcY8BrWq7iNFzBu48Mcey+9FXXm2h5b0/qmnEuAuEHA2XCBFppub9a zpdBMQSOLZW9mx/upuUXFRNFCEUkOHGZ80dPbj8tl0ZCY1jlSFDnJ3Qs1muI lrNnfIzwfkWEXfNQyqM3RsuZDQx3SygQ4dAb/8vOspN43TZMl628nAHDrBbz xJQpWi5Vf3lA58gMeO8TfKEROEPL57KWHvifIsCVl+1dAb8WwRaNVq95TYHj r9mvTJHxOhc/8CVjSIYKfu59Wx/c8To3Lu85I5ZEBW1Kq5EfC547TY3ch59U OFrTyGvxDK9/ccNkM8azixA6a8MYdx/jiHZjSsmzS6B2fSAz5Ow8cDIdebVx gwJWzicSW3baAVGKn37YbBYkj51UPHKJAmwP400TfrqA/dsjbRJ6KPTxjg/S q2D76MO9xtVqL/Bc0qs4dxEB5p3VJk+EKWA7W5myq8MPeMZu1OvaE+HDnr4y BiaMay2I9MPqIMgXWRMJuzYNrbf/ORrNodAwpWx10zUE1g+/SRILIkCTTKA/ ez9Wn4ENBlWj94E/3DAk+cB3EON8WvysDoW9sRZH289HgKiNYLL5oRHo0hlV Fs/D+tErMe73w1Ggk04m9lz8BtvSDHNuRmH1XIT0X78UA/xOV/8eU++Frocm UhduoeCSqriwvBAHorKVZRnxX0G0JD3qjzEKPnLgtfdEImhqVKCHiM3wu1/w s5c6CgcCZq7u8U4Cm9u97Fc+VYKYwWvbb+IojBo+ad/2PhnoWI1+jT7MABWx R2ZP2TA+qm7ofVzB+ZLy4S2X2zsylDDEq6CsL2h5vNfgmZPqZFAaTqrVEXhP yw8nqX5g/YCAS+Pz2lf8n2m57pmfXLaaCCzemSXs+t1Jy/eUasr0fibBlxlT Pu6qPlr+g3uk474eCbwmDDznbw/Scn2uzrOfOohQ1uGv6G49SsvPBdLv+HuR CIxuT//MyEzQcrg853C0awZYhV8uS/LidT6Yx7vD2mAGCqy2Uy4x43VuM4d2 qVwnwK6wI1XHvRYhfdKrf02TCn/Sks/tTKRA4jXVmc1EDUhcEthY0FqAAX52 JMaHAjq9iqw/2axgb/kHaDSeA6WyNqvBKxgHZFrmX5MdIbVtaLL9IgWmHqUd YTtNARHzTodXQh5wgSz5flqXDOuv2ffzy2L+E2FbuUffBzq6C4usrpJga/+3 W0m7sXqeD7L4phQAGlyPFnZfnYGL5Jf8P36hkKy2HiQlew80GCKNcm9NgWzT 5ydikygwmJcdflwQCllnVt9yCE1C9CuRLYEvKJhcsG9s3hkOTkJhUe3iY3Bf nyHoxUvMT47lFXWnRUJijsFNpfz3kF7xQtRVHgX11dfDfYLJ0LTW7/vCrBSS iuUelPJh588oUH1ujteJaXw+XfIGGRp6ApVu5qXR8jYQmW/2JwNy7d0Wj0cl LZ+yGhWZ/YfAkoJk4ReNZlp+m3P5QO5dBLLTLqZd3vuVlpfK6wTqMSCg/Eat nTTWQ8uj6ib5qNEkqO5q642PGaDlFjVy5xJ2kICem/LroOcwzn2xuk+SiUSw 38EkWXt8HPf6C+un34sRoHTwOvl9ABW2NLnmigoo8MQ88tXSKt7fnlIWdzcK UmG9rCRyNAjvY/+9GGDTDqPClcWWeCNePJcwb+PVmsW4f7LnvlkZ3t8inBWo rFGLsJi9dr4zAuPs2RaXMu4LEMo1cvRo2DxEjEaHbnOlwJCawHHWQVtQ1XBi zXw8C1VZL1b9jTFex7evjxXchJLnSnqVsVi/uNV9Sl2NAqqJLM0lXF6Q5Vel FBGLAEuEm0GuKAV+Uhiejh3xA+3OfeVpBUSY2J/58CwLVm/mxKOOnEFQV8jJ HZQzDUt5caNXF1E40pJOvioSAtuSQ/6Rawigfzbl8Y5BFEq3f1NUjL8POiIR cPrFd2htans79f5//bCV5+t6OPBLCBnYFI5AyN4vXTL5WN8T8go4GxMF5gp3 w/72f4Pu3wb738RgnjyVoOb5NxpYaqyS/9ZjXjk3ZhrhgZ3HO6k0IjMOEoXP DX0LboerosQzm2aYbxdPPizhSQR05Pa3CvQjGI77ulUCCvu/l4U4ncc4bhgz 0/CiGsL8+tImJVHgOmlZLvAoGe7Rne+JYswDOnVNtSe7UBj3322d3YHXLZO4 hVAG5kFa/dyfh7if03K1OyYcZufJUFE5w6Oi+Y6WW3mwSdv3IuD04L9tp/k/ 0fLXX/NUCw0QaG6I9Mpmw/tbAJpe2vaNBCwH/KXfauL9bUw2bKHJigTnkyiJ WWu4P7t2XZJZGCPCH3X+X0/IuD8vcI1E3rAlAlmvqkO0CPfn74VuWoYTM+B8 Raxh6Rvuz69SvQqdrGegPuBvpGU77s+ZXNc9+HwIYOdGLOY/sghLcZ830EAq 6NXxFe5IwXiX9PWpx4YS/GCpSVy9vwCanU8PddzB+t6rwYP7PS7DtSufB92S 5qA0bP+RSRvs+PW8hz/LHQAlSKPxyRTw3KJfMTpLgZqBuWrj2+6QOiqj6RVN hkW2bYmGhzD+mlCqu557w7oZ58H0TBLQZcc5pfJQIGOu3elZhj+4M56fupo7 Ay6rPlsqf7D5iHWRWeTlXTCNfqr9+MUUGC4Ycx6eRsFLbXddnFkoFO1ITMxK mQT+TmXhPV8xzo/4P4OmMEisqtYOyh8D2S3ZKEo5xsEYjpiu05HQMzhwWuNl IyzXbf/66igKKibBv/evJIHmyLNEFa5yWOvTb6wSwOa+KDvhhiNYnUTLLI4t ucNYT1rZa3oUVt3KBY5exz1QPbdlbQG7v+RzW592+rzB56Brlyn/2MnQKNLV r2H4Ae8fS80JvxMQeGyLTC4KtNFy7srVvCQuBIpMHvActsf72/xPlUzyYxJs cC9My/Ph/U2ze8i5Q5AEU59C+cZXcA+kftco1M8hQk3AUxRpxj2w3Ps2OfMo AZib+ceyjlNhpbqbsZdtHjLkh0aWHDAuPb5CvnvKHhI5Wtd5+GYhtXPQk6yP 9Z/MS2+1zt6CfR8Oa6fuwPZPPXrjiyLWN1bW69Wv3AYdpxl5Dh4EGJO3LDP2 UqBz1jEcHO7ABPq29Y84EfJ3sH5tpKfAHwWK0EfrYNr1zLiaBR48RIb032Bt sdKAe+lrB8uycgQ81nZ7CAh8oeXTjecWBI8gwHZM/0IQpYuWv3FDnw1XkyA8 W5HJ8yDuyex/D5Vqq5Mg+WCVkfqPQdCqiBxi4aDARflDHk2aFLg39oqX5ZMH sPwQVzNkJQP9ZcGq71JYX60ZqbBZ8YHCs/9Jie0nwWaxkHc8OwVc5uX1tncH 0M5/VkGk5YwbAsmddRda9rbT8jMlWabbf5CghXM+5IkRPi9LBEcm/wwggfeD wqYFOny/n5AOfDrBSQDTuYrViffYPlww0crLocCF0lNm6xs4d6bbQjuP8lKh ppuvwyEM58vrIlPX4SAqUJa05D4I4nkI9wfrU0QqCEQMq5lW4typ8vlXF1u0 CBIbjW6uUdg8KOGYMH7nPEjcsAyOfjoPWp+q5yNuYX6yPyruhZotTOsmxgXW zUJwD6FfxBSrB7ZZ3dC/zqAnVhX3txSF04K6/iMnsH3tq3eKuckTytXn1p6V IMD68XyHmDg2n1Jki5uJvmCjvVGs8ZkIc8V3oyisWL2J26n21AeCjnN27Mb7 aQirGeBGqCg4VOoesli/BxEfnZTbBwmQOrjvQPQQCjf0CQXLjvfBfD5nn/D8 dxB6fKXuXiMKD3fSReh2hwNnRNYh4vQIWNx/v7e0ANvv/ZllsfZRYLN5biCF dxCqSi+QTOMwPw8iuvr1RwOdzZiV7d9eyOAVcRP3QsHRQXPnJc840Ezjubn6 sx2Cxx7kB15GoZMs/9yTPhHKpQfPrzm3wF2C5GnTkyiIsT/iSlJOAsJJtJOa XQPKu2Yq7KVRkFOtEy8ITQabhkx/06mn4KD78MVeDhTUsp4gMbU4d6BPLq+s nwxddaZx3fwFtJxjk+fHlCEZEvNjtV4Z1dFyL9vVy0kjCDjciipkT8ff29jH +bbrmCGgbjtYjyTj721KmT8tnvlOgtftO8oZmXHuXKgaCZq0J8E7Z+XcH5V4 HQbKpfKHzBBBdg0ZVirFuQMTpz/n3CDCtxOaxxodce6Udh5RuIbMQGaQpYRp Fc6dvfHiPxauz4BOjJ8Z4SXOHRWpZ83hwQTgIb3fz8K5CEIkaux0BhW824eN YlKx/l+csq30kALI8EZa+eQvgI+06yWXAKwOhWXeH5cwB+a3OuKtZXPg5HYx 0+4aBQ5Mcc6m8zpA6ryBi/sbCpw4qtK3roPVOXcAQVrUHVSNS0LelZDhRnXA Z+phrN7UDx2XNfGGnUJn5itrMS8cu0Hi5aOA49yKW7S+P8QGSY4xf5gB/zuW yyObKPD2u+yMunwXiPoKTbxfp4DEkKX7dgaF4oPN/yIVQuHtLeuta92TYG3V XPqwHYU4kQjercdhUHS/V9KUNAbBgw1xURUo/KnU3tQXjATV2vb0KfMm2NdY mW2ghMKxCPsYve9JcK+VLsCJ6TU8d7QePSGIguHd5gTdfVid+L/S1B26CzAx LyrPgIJBkvpTEUOcO94X0/wZUsjg15BTHOVXQcuvkfi7ovnIsC/tqfPvMfz9 Qy3hRbN0OgJp2kfCah/j7x9afduUlPYiMFiocNxQBufOPl7773Z5JMioCr55 bwzvq28tDv2ZxfriuZxuSaU3OHf+nQh5NFVIhElFj69BkTh39B9UqO44QYA3 KivGsfxUeMRuePHAgXkw3st42tsJe76hHSfEi+xATXAp8KfyLFjR7zSKNcDm Jn53Jkq2KzSrlUeOH0TB9Ma1XPtjmN+Oqmuks90GGzn+ZbmjCDB1jw4LCmF+ MhsfKyVwB9ZtE5qfniLCm6SFelsGzHt/O4rL7cC5U7PEZ1ulRAYfChrTy4Rz hy/PIH68BoHgUSteYjo+tz4KFb3XoIrA7aHMtE8eOHdIcTyIcSMJpE5+imte wvdXSNR99eunSbCNicEu9e0gzL8vs5yVp4CA3bVL17UwPgpoaIy5e0Cpa35A xgEyBDI9nPeXwfpnjrBSfY4P1O3wJGucxLiDrC9zcGL3O29qtBiCc8dalOWX py8CiRVMq/EZ+Hy04eJJKf6DeYJtSuGHPTh3zLLeDHjeJwG7nKquxmfcH4bV 6lb1BQjAYBvr2pVFBcbDb9hcXVDQbzbZlaOKeV1Ri6bBdS8Iexvi5XQLge26 KX37RLA5ZXY840ewH+08m9s7Chh0MB8WOi5rGop7r85XF2f9LhK4RaDZdgF9 oPHtn91LDwqUfO3YXXYG4+kjq4SQVndYsXm+JetMBk/rqMuVB7H7vVWg7PXb G/coulGrzkgEYgMzT0hk4L5ksyLMQWVDwIVxmsqa2wP+Z18y6s2RwYbTTVH2 KAUe7qg8MVV2G38v8fe2xZ0DCOQkbzEes+2GR4VXjaSxOSfqz69EQcD+7hOR BSUBT3Dyz1tnpSAQXpp3V1MS6xs9D48wnfHFz6OpnMTviMBb1K1kIwPnfhL5 80f7eRIkNJ6+cicBX/9sbo1LbiwEKPYeuUOdoILXx1+uT7IoID2Yd3BzE+f7 tjq9F/O7qZA+qbdYGolz/ObztOw8fyrIr9D/+bUPzxWW1RlOT1HBucjqkUkN zveeTUS0q2YRNKQKQv57gD2vlBrRVblz4JMqlF/1eh5y1brEdN0wz0lrrN6c t4Eag3yDha+zYOf859QKxncR3TueJsXOsG/C55UYNteFLofzFqlj63NzkeHt I0+oyw4frKhFIHqqNnoa43vxjQY55QZfmA9FpJIHibAyvxxSx4atW6T4O8aU QODUu96m0jkNXaf8FIqXUKA7LH5xiHgPdKzGe+tJBFDJJrrrDqOgs0Sa6DG+ D2ifXPyDnROgHS7938UmrH/mZWo8qAsHlupxISn6UfhSXdPkWojCm8PluvKX ML5PK2xaKw9CMdOFzzLx2Hna4yMDGjC+v92rlSLcB0iJZsASxveaiT3qVVfi QHRgQ2mbYgfsqh3vV7dAgY29/OpLagLkdjFH8pW2wMPpwFdSWijkSLFaSsol gU0t36ko/lpIMLupKS2Dwrs3lLFZP2yuFG4xeN/9DPh7wH4E4zu5dKZkWznO d0vZR3Z1Q2QYOLzufl4wH3/f+/62w3NTMiwJ2o7c+I7/LnN3xHH1+XcExgkv 11fNcL433Jrm2WuJ+XBF0BSbGc73T7xjHIxTWJ95YvyjFMXrjSWQ8fOiE7bv hsafiz7C+R5mWcl5nkyE/y516d6Lx/lO/uhPqnMlgpFi+I34szjfeaa4pJ1n Z6Aizm8oqhDnew/b74zyGzPAzq3cKJ6D851JQevm+1ACzOeUEO7+W4CKxDDT yWIqsA3Uyp5/iNWD85J9csJB0My81Vz9dgESjQ3t1AMpEDDQw/QpyAzMJ1l1 fjTMwSeiQ4+kHQV0THR4Zr9cB6cVu8NTH7G67Lik1a5LAUP7cIr4vBuw7L75 dLKODM/jamwbsP6aoNC9MXTQG/iCJztaWkkQujH0bBDju/7NiNW/Uv7AX8dl btE7A6H1nbMlfzG+q8ol1MvfhRL5X5tGI1MgnwAOvkQUzuRniDMJh4J67plj 2guTsE0i6odxB+afzTEXvkeEgYKz9cNmpnEoao7iNH+DeeP56bdxzJHAabPZ vy2jCZQ+7GQVPYZCVfZQP6EvCeg05Zfo7r4GugrEcQvj+9TvZZ0EnhS4V7P+ Awruw7J92sgCxvd/eaEOj3RwvicX0f3HnkYGSz/3zM8b+O8LHYV+mhf3kmGi b6fycC7O90/molYaWQiw15oOZl/G+S52WSmYaR8CfgZh5+3ZcL6rSvhviRWQ YCbyS5lMA853V1HzU7+lScC80+eQTQrOd+abT+NflBDhd4L5ibYbON+FUi5N aQEBolYmdjOyUAE9zu1jojoPFQl776jcwPrMTwYHLws74BRjBMezs3AyU+qj 9UUK1Jj+O1R/zhUSf7kX0amjkAo5JxSVMe50TmydmfICp/iK3hMnsT68oJM2 jvE9wFmcM2PFDyKyA+GnERHqBq5WHWWkwPJV6QKbqSDa9eyv8OkPUCXDN5v3 4nEJ+HtpcYEW6dV6BNb0Qh3bzHG+U+1i2hLUEaiVOVVPOYbzfStLdjv3RxL4 cLH3OffjfD9x4VXYbR0SVHsUOzelDkLTx4/Cltg8+Xcz8IPKKcw3asL7WrQ9 IFD2elbDcTLUjfVG6h7A1iGl8ccNHx9ocd3Zqn+RBEFMjuU9GN9FXGYHbS1x vt9ID0x8EIDAHsmDZ25b4Hw3vPD9aMA/EmSxkWv6N/Dn6P6ibU0hkgRX/96L Q4pwvhedvpwVLkyAAcE7stqxVBie9TqYFIhCTHpyketxbL9kOdD/PeEFiXxC xr5BCEQ60idNYnzndXbf52SO892MokwdOI9AnCvhgr82znfbkdCYHX0kaDI7 MrPDug+4xril9oVSIN6eHBKijfH3WP7+m9nu0CLsJGLgT4ZypU8/7sthfcD2 7C/RXpzvaX4Xfs7EIMBFbYpjtcD5XtcfZd7EjgDzy2PbhEJ74ALjLUn3P2TI Rl50rWN8V/1nuhkfgfM9amLy2blDCAzMFBy4LNkNzqVevOlbKLg85KJfxPhu q+4Yso/qAaoq1wQObyDwMXRiLwc27ye0qKxUCOJ8V6spkZW/icBBy4ebExY4 3+daj+xSXiKBrFO6W4wH3m9dhb9vFO4kQLDCZ2XHLir426+5jGShwHxm5yQb NheT75eEmlM8acezle4M9TXCfIpTPr25qwPs0yg2aRlkkJvSOCiGzSkaujF+ gcH4+tx6ZD13jQ+BE1vjUpraPbAURHWowfqIQIok0yMl7PqRjKBZRXwd1PMq lReUEICIH555L7tgtHzGwkeADBry5pdKpbHreRHgxd7mQzs+J2Z77vAvrH5q IbXsWC8oeaxQdKxQ4Jzn9+xRwa6nUvxeXrwX7fhnUrZWR08jsL89ieloQyeI 5yPfmS3IoBx1vgGRpUC0P4PPp/34+Zl3v/kkvB2BXsv477/e90BR9PyM9BgZ xNWOplsewfb7Hu4AxRH8+gcE2XYXSSLgfNKMwPkE/z20izWnSIWRAMN18/W+ VCpEvGq9L5hJAZ65Ht7gLdyjuCqOZOhyUiGK7PjP4AHuS61SqirMd6jQ52l7 LUUUz7cT/E1aJqmQUrvv9Lda3KPGG0f7F5sWob0+LboA86jEc7Y3giN0QVT2 b5Ve7TwYeF9WL8E8SufSmJ7kZxvINXxVLtk/CybVLIGWZhin0CZmuOsMEepD DYqfUMi1krDj+I8CHNeByBbqCU3dfdpqHxD4urRE0dqPzb8HohapJb6gJHaF 9G6CCD7sL7bEd1DASi10c19wICzVt5IHB6bBk/VrA9syNic6x0/xjt2DEplH OccWCMAS+oWnGPOoqg9OAZrn74Oc9uqnRqEJsAyI3arGPOq1C2XvgfJwiOoO 5DnLOQp/L1WldGEe5WNV9+jeWcyjvu1PbNEeBPGKzqokzKMMV+x4/r6Jhs0r dUqlh/ogzvtSiNltFIgZDANORnEQ5Tn/mPVSBwxIR8xlYR515pC5024kAVjE cySed7RArl3RTDzmUYQKrbtUqSRQWHsZZGxSC/WB8pFRmEeFeITU7LqdDAQ9 87ol7Xzw4H7YpMqJAlQy79J4gXuU8+DXlsYRMqShrdceZOH/36KQnS8SbU6G RLP2/LNPcY8K5xXXfDOJAH9GUx6ignuU82Ra7bYrCAhZ9q4KHcc9ylDYQXRm mgSFTHf46EfxfU2aEHD+6UyCtl3lL5QjcI9iWf20U4FCBO1/J7cV3sU9qr6K 17vVjQg7yp4z+KjgHtXqfF/81vwMvOfdfuRpNu5Rsm3XF5NuzsDaIM/qxzTc oxbeJsFIGAFM/oo2nvi1AIHIhXdXXlPByFyW7wXmUWy/BlLLDhwAPetr3sP1 C7Bv7rRLPuZRBxQkS6JlzYDOe9Yi+vMc3BZZmY3APMqKw76YK+86GK65Jgh0 UIBL4Kq/0jmMpwydQTub3cDdrb1iuZkMn9dNyyQVKOAoKzp6eI837C2T+0+v hwTNLBwMKnsocOrgxcpqbn+wMX/AFzYyA0wTEY7cWH9NnI3pGdx7F+JzLQRX CVMwYJz0YxjzqGQC89tT3KFAd7y2R2VzEga230x/i3nUUAr7nF5QGPh9l+hc 5x2H9zULvY2YR+3lU0g6tBkBiW9SPVLqmgC0VDWiMI9ald29XtKZBD0Bn2U7 370GuaGSV1eFUCiqeSBZwYHVia9uzq7QcDhfNH9MnxEFk5KC1t5TuEflGh/L 5n5MBqtv5qnX63CPCo0s2jgqRIZXSx8Ez97HPao9dbRINxsBXc8bd5OO4x7V 1UYRXxRBIOasVfHoT7wvfTzIxEH/nARpS3O9gWW4R52770qmlyWBjZbuEZ/7 uEdFb3sTnVhKBEaNjtVFC9yjGPnzKq1PEmDJwGSp8d8iJHavRs3BPNh+LUhJ xzzKsFzkT6aiHfzez56bYzALSqjiny//+z15Tbu5QNQVNk16a7hOY3NRyX8P MjCPqvkiP5nV4QUujf9OfsTm88+bd3+qC1PAQ3a+12jSDzrUV/+KWBExP+NX zMQ8yoMrEvHvwD1qOLkw1lqNDKlZ0ovOxrhHyZgE395qQOAI80POelXco7IG NG/5aSBg1Puo688e3KOi8yv3rLSQQDzg6I+GFtyj+F9/lAk8R4LdRYG3BsMG oeRzZ3CKDgWWdKM3cjGPio4qzqo94gFI1KfSnpNkGNZ2/1aOeRRHHOe3Jlsf aM2+rPrNjATvebI5juzGvEXubbqgDu5RbgPK31MxrzGc+G/RQQ33KLrG5CE7 egSmJjibx2dxj/pbYczM+YAEDA4FZWoZuEfFtxW554kQ4PQdKsu2MCpo6g6c eBaGQgnDkZ8DmEc5PqqeMpL2gtSzN1q2whBo9VFdAlFsn8qqEcTO4B7FaDGf 8l4fARk+JdtYGdyjFgm7smb7SWDfZMJkY4Ctz4RwpGk0Be69/lE7i3mUCFPr wtUH7iAX2CpvG0qG7hw7rTnMo2os04d863FPePKW5RQ1DoELRf3Km8dxj3I4 rfG3iBMBy5CrOyS9eqDqWtexUGzeqL90TshGEVvPjefjJA+cv0oGD3UU5RG4 G7tx4ub2bjAuC/LpYaaA9bTIcTPMc3/uiDnPPeoBuQ+bD2jSk2F6IdDJB/Mo x4aoPtbtuEdp/rD3VXNFwIGnqKBXDfeo9OPk1/tWSOCr3uyXeg3vt8ZP5bqa 2QkwG6fOu/8zFYjNJkFz+ShIlpfIeWIeVRP051rZAO5R1ULNUjYmCDytCS0Z KO+AnjVdj+KnZDiv990vCvMotlPj5v038PXZu50n8Tw/Aol9zAq6Kj1gPm7g +3U/CqpbHw3/Yh7lSJi7clIEXwfK7ptj35QRGDmsE/4moQu0OE7fjBIjg3XG z2xuGQo0FHQYXX+Le47eZv3pDxskKI278aRGqheyug1/W9ijIG9W3aiiitVn mZfN+h3cowzS+OgFtRHo9CLtOZ3bCdHbzi7yXyOD8Splx4WDmK/eNjYV4sDP XxHi5MzMioCUQg1CV9YDXBS9H8dnyKBV0ENqxjyqYbe9ZXQLfv0hsY2VidII MM2WrIjfxftVVfxioBEzAU7y22UqkqmQW8GW3FlBhijxvTxm2BxdoxwsEKKJ r9ttNHhESAjz4QALLUuBHpB5zJm+qIh5wwDdYvsx7L4G4vZR1/D7OrX6TeK5 GjaH3qMWDxl1gVXjdo7/PMmQ3Cb1XAirWzann3xfSfj5d9r1vxnaicCH4R0b XEk9MF2wi9d6lQzBAbtCkjDPd2FiFlLNxO9rzFX2n+1BBNROGO45e6obNlUf XAxPJsMun9zvtYew52igli6Zgp+/SbJY258HgZ8H3girmPRAlEiCaSE3Cr+l I6sPY8+9Zl73SYoOfv4EBbpkRkUE8r/n2iS0d4GmXGw/bz8ZGLpTzv3A+Mi7 rzljfAE/XuaFsUvjfgSa0hm6turwdSaHGQwIbiOAyxWfiXe/qPB/ADNujT4= "]]}, Axes->False, AxesOrigin->{0, 0}, Frame->False, FrameTicks->None, ImageSize->{213.5999999999998, 214.}, PlotRange->2, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]}]}]], "Input", CellChangeTimes->{ 3.4792247408507643`*^9, {3.479224771115405*^9, 3.479224805336903*^9}, { 3.480031761608872*^9, 3.480031797954927*^9}, 3.480031834198938*^9, 3.4800318663313227`*^9, {3.480031994678196*^9, 3.4800319991094112`*^9}, { 3.4800320468470182`*^9, 3.480032089059987*^9}, {3.480032128252198*^9, 3.480032132676059*^9}}], Cell["\<\ k = 1.0 \ k = 1.2\ \>", "Text", CellChangeTimes->{ 3.4792247408507643`*^9, {3.479224771115405*^9, 3.479224805336903*^9}, { 3.480031761608872*^9, 3.480031797954927*^9}, 3.480031834198938*^9, 3.4800318663313227`*^9, {3.480031994678196*^9, 3.4800319991094112`*^9}, { 3.4800320468470182`*^9, 3.480032089059987*^9}, {3.480032128252198*^9, 3.4800321627738447`*^9}}], Cell["Figure 4", "Text", PageWidth->PaperWidth, CellChangeTimes->{{3.4364493699300003`*^9, 3.43644937346*^9}, { 3.436449457052*^9, 3.436449463067*^9}, 3.436452087344*^9, { 3.436452197724*^9, 3.436452408336*^9}, {3.4364524604960003`*^9, 3.436452465738*^9}, {3.4364529304700003`*^9, 3.436453307226*^9}, { 3.4364533402679996`*^9, 3.4364534453389997`*^9}, {3.436453478395*^9, 3.436453830701*^9}, {3.436453883473*^9, 3.4364539154960003`*^9}, { 3.4375979301879997`*^9, 3.437597968321*^9}, {3.437598129054*^9, 3.437598138487*^9}, {3.437598693262*^9, 3.4375986969639997`*^9}, { 3.4376538828450003`*^9, 3.4376538828459997`*^9}, {3.437654389887*^9, 3.437654405307*^9}, {3.437654720972*^9, 3.437654721337*^9}, { 3.43766014066*^9, 3.4376603134779997`*^9}, {3.4376603463120003`*^9, 3.4376603843129997`*^9}, {3.437660456988*^9, 3.437660656855*^9}, { 3.437660689613*^9, 3.437660923383*^9}, {3.437660980862*^9, 3.437661224597*^9}, {3.437661255349*^9, 3.4376613025299997`*^9}, { 3.43766133448*^9, 3.437661869696*^9}, {3.437661930973*^9, 3.4376619428780003`*^9}, {3.437662747693*^9, 3.4376627532609997`*^9}, { 3.437662839719*^9, 3.437662840868*^9}, {3.437662872007*^9, 3.437662912587*^9}, {3.437663101745*^9, 3.4376631085480003`*^9}, { 3.437678811633*^9, 3.4376788191521997`*^9}, {3.437679264531*^9, 3.4376793166506*^9}, {3.4376795875134*^9, 3.4376796006642*^9}, { 3.4376796350778*^9, 3.4376796648738003`*^9}, {3.4376800254784*^9, 3.4376800254784*^9}, {3.4376808410931997`*^9, 3.4376808410931997`*^9}, { 3.4376808947064*^9, 3.4376808947064*^9}, {3.4376811768324003`*^9, 3.4376811778464003`*^9}, {3.4376828132179103`*^9, 3.4376828132179103`*^9}, {3.4376852401286993`*^9, 3.4376852401286993`*^9}, {3.437687316521945*^9, 3.437687374411459*^9}, { 3.4376875489081087`*^9, 3.437687779278685*^9}, {3.4376878369182034`*^9, 3.437688002774394*^9}, {3.437688040648667*^9, 3.4376880447579627`*^9}, 3.4376881210221233`*^9, {3.4376881589432707`*^9, 3.437688189942675*^9}, { 3.4376891391015024`*^9, 3.4376892071631317`*^9}, {3.43768926077182*^9, 3.4376894113480177`*^9}, {3.4376904351786623`*^9, 3.437690455756524*^9}, { 3.437692036646599*^9, 3.437692036646599*^9}, {3.4376926379240007`*^9, 3.4376926379240007`*^9}, {3.43769460206768*^9, 3.43769460206768*^9}, { 3.4376956318267145`*^9, 3.4376957185292845`*^9}, {3.43769629424435*^9, 3.437696297213081*^9}, {3.437696553711641*^9, 3.4376965582585154`*^9}, { 3.437697235086641*^9, 3.437697259024141*^9}, {3.4376981545710154`*^9, 3.4376982326335154`*^9}, {3.437699550836641*^9, 3.437699551305391*^9}, { 3.4783974332483664`*^9, 3.4783974348089523`*^9}, {3.478397666784403*^9, 3.478397668369035*^9}, {3.478398555888002*^9, 3.4783985706558523`*^9}, { 3.478398620778515*^9, 3.478398641687841*^9}, {3.478398726219194*^9, 3.478398744513521*^9}, {3.478398805148978*^9, 3.478398854024809*^9}, { 3.4783989229514523`*^9, 3.478398981525886*^9}, {3.478399058186421*^9, 3.478399063485973*^9}, {3.47844269554102*^9, 3.47844288829141*^9}, { 3.478443155818199*^9, 3.478443175538466*^9}, {3.478444228995105*^9, 3.4784442392215443`*^9}, {3.478446156585435*^9, 3.478446186549082*^9}}, TextAlignment->Center], Cell["\<\ \tNow let's look at k=1. The answer here is not obvious but it is \ challenging. When moving at the same speed or slower, the pursuer is said to \ be on a limit cycle. This is, the line joining the pursuer on its circular \ path to the pursued on its circular path is one-half of the chord that is \ tangent to the inner circle and connects to the outer circle at the pursued's \ position (Figure 5). For a pursuer's path when they start outside the \ circular path of the pursued, the above instances hold true, with the \ pursuer's spiral eventually ending up inside the pursued's circle when k<1. \ However, there is one instance where a slower pursuer can catch a faster \ pursued. This is known as frontal capture and is very rare. Our pursued, \ starting on the far right of the graph going counter-clockwise is captured \ when the pursuer starts within a very small region that is above and to the \ left of the pursued's limit cycle. The pursued follows its path and ends up \ heading towards its pursuer, which captures the pursued from the front. \ \>", "Text", CellChangeTimes->{{3.48020227674623*^9, 3.4802024334180737`*^9}, { 3.48020320264289*^9, 3.4802032705105963`*^9}, {3.480203352554205*^9, 3.480203377765705*^9}, {3.480203536150279*^9, 3.4802036978774776`*^9}, { 3.480207514647196*^9, 3.480207520856209*^9}, {3.480207924902356*^9, 3.480208025563046*^9}, 3.480214779624498*^9, {3.480977463934976*^9, 3.480977668041256*^9}, {3.4809777169697*^9, 3.480977717496142*^9}, { 3.481062391943878*^9, 3.48106239453745*^9}}], Cell[BoxData[ RowBox[{" ", RowBox[{ GraphicsBox[{{{}, {}, {GrayLevel[0], Thickness[0.002], LineBox[CompressedData[" 1:eJw0m3c81f/7/5V2oSSFhCTSQFlpXCqjIW8JkZUtq0KEMkpWhZKsVEqZSbaM y957773Oer2SEZX6ns/td/udf865zvP1fD6v5/V8Pe/X9Ti31xEyvaVpsZqF hSViAwvL/97/3+s7/P9P3+gtLuf/kTCwsPtEqkAgiN0fu6a9QsI7Obm9uwWi YGnFJm//LxKqZk/sTOl6Dyl3avILF0gwkJiXXcOfBCsHvAJ3fidhiYUlWN/0 C5gtyZnIUUg4FCr7/nh7BvSOFPntHiXhX6xntd98Nixo/75U3U1Calq57iJX PnivLLLLN5IA+qneN6ULIXyl+fitUhK6jOucSjURvNryz9pnkWAkPJlHypWC y+efKUc/kbBW84pZW2UZOBl0s5a8IoHNdtRiWbMCThekTOzwIyHp7Ttn7eFK iPnoOMVvQoLtFdYvtxZqoOIzzbVVjYTtMcl2HF51EL9W10lDjjn+myz9hPUN IPRv3ZasDSTcT/9m9GhHMxRsG7kXTRJgb26RonW5BUKvVhP/dRKw+Ux1vDJH K+xXNOQ+FEuAtmlHjvDzNsiUfbGg5UWAwHL33Kor7fD0aoP8lRsEVLnfcxXc 2gHP7VYqa/YQ0DqxlsbytBNafIfv9TxjwGCrncMjtx7Q8zeKL7FkQHW1blTE 0V6w1hbm9D/NALWT+7gyqL1w5FHHchaVDtseqCQPXuuHuZ+T58tl6DDA1WNz SWQI1p7a7l+/lg46Q1snGzuHQFZs0xfsoEFwjetegcfDwP2tycDpFg2kfs+6 b7w9AmdMMwchkgpdX6+wnSsfhcshxxuHjKmwo9rupCn3GLz4G7Dgtp8KJ8YO eDdZjwE4KPd+TqeAW5h6rM/mcYAlr9tq+TPAtUVf5LfqBOip/DZlc5uB7ZEb Sw+GT8ARF1uDQbkZkDzmMxQ6OgEnhyS9sjKmQSeemKS7TkLZusenAmKnQMfc cDAmegpsHu/V+PPfFNxMuy2zZnoKtOb9lRxWTcGtvfNPTI8y+2knCFw3mQSW ka1xc5XTcLJpg0zejgnQjGHwbB6ZAWe93kifknG4d/i/kiphClhtPxRtaTMO ZzIafI0sKSATf25PWMEYyLR+tOeeoYDc9LWlyaujMDFG69UZpAJh3Vr3++cI 9B28J/l+Jw061HYFXY4ZgbK3x7dnatDA4Pg/NVscBsH7Z0/zIQ1UvWM2Jq0a hri/G57Yz9MgaVXFB++zQxBy66S9hxgdChqmDgiWDMCsPCWm5Ckd2k/dj1r+ 0w+Bfr6mc4V08Pi9gREi3w8c02sye2h0uDN3hcqd2guPbwY+yVBmQFPx0Zmg x11Q/u9yoi2FAYw50XzV/E5Y2eg19oudgO4/u3ZvoneAgVaGzeFjBGQ9OttV od4OVkY83++6EnBwjcF0s2cbeL1/0hcQQYCSyPWVtWmtcDjyHUM+h4BLjL27 eDa1wMLHsF22zPt8jn9YhdOhCaDl4hvqRhJM5EO9XlY1gLWFs9hqYRKkhYY2 NvDXwyP89CpdgYTIaJF9DU61ECbV0TOvQULTmkLexJpqSDh5jWy0IIERyqHq tLsKktb9pSq4kaA0WMV+5lYFeHDuYCg8IaFx7cjYvtIyyJS/I9oYQ0LU0ebT RzlLIWPk3sD3ZBLmDY7/t1xRDKFuh4w/5pEgK7hWR8K8AJ4dPbKdWkEyOcZV dHh1Hnz6UWNX3EyCwCWNIr63WbA6ZPG7UC8JwUHZMYInvgIVLGS4mBwSs+H8 rzo1Bbi17o+8nCaBdUjkzq6xeBDYeyPpA52EkKQr2esOv4ZWuYVrikyuJY+s v6h/4BnoVY9V2Pxgjn/lgfvNe/8Bn+bL3r1zJPQJRtrJKATi4ecKodbM9saZ zeXqMtFoG1M/d4LZ38vx9nv+qQ+4+8JqwVjm+IviXPpx6cmo0Glw5ilzfmNj TupsYTpaFvKGb2T69+pvi+l/05l4fc1cRQLT/5ZPe4KGtuZiL02Ib00rCV/1 zG29jn/D2TdrZvdUk6B/LYGP06QII1mTUpcKSGBvszAsOFeCAbG1Jc+/kLCO w/abSlcpbv9Rk0qNI+HXpogzfNblyGaX+oc1jIRYCZL7wHIFcpZwXxh6SEL/ hI3ljcAqvNR6Rs79DpPz98PMv+6qwa07l+71GJFQczbB3kS6Hp1p3X+GZJjr +bOLM66kAZW+7x8NEGDOR/GJKrjUhJK2JwyX1jPXz3bQW+hLC17UyaUcZHLT aI+mbY1jK77yePhvNp+AAnNnLJJpwyFaZa4Pk6NKt7gmnfPbcTH6QdxqEwIS 9R7YiLp3YEDARYVFReb9qapZulGhEytSxJTyBAjQekP/ALldaMlb/De1lwGZ QcUivs7d+Hb+hOtYFgOULT5b9En2oMPoie+0YAYYF0/fefOpF8V+ji14AwNC GzkP5T4eQOmZcKORF3ToOzfcVKAwiJXPX70aM6fD3tsuoxHEIM6uoQtVMTkb cfLx6m+awygYkpgtz+RqyehD9dm1o0jJ+9C9eg0Nzhdesb2lP4pRFXU3VBqp UOacEnoqfRQTrHjMPMKpIDMt/brw2hiOhR3IKttLhbTClUFK7Dj+s9X/tU6K An8FomWfMsYxjprqxP1jBv4kr/1kfnIC973bKiueMQO7Q/nMUronUGnatdha YgY2POTTPbFmCu1W03Y92TMNHb7TUscvT+H4jcLmtT1T8NG2UUI7fAq1rq3m jQ6dAu7cl+cG9k5juCQb8v6bhHjW6Ae9R2eQ909beGPrBIgJ3sg75jSDXxUT PtEfT4AA1XTTu4wZHAhU61A6PgE5GzpMPx6h4NOcBenU2HE43t7yXYiPisWK mvbJhmPw4bBkRv1VKp7NzQud3DwGJ6Nirt99QsW91f9R7uSPgtvAzxX8ScXu e6k1QZyjcGf20Lpf5TR8tpLCfdh9GGS9s47ZzNNwR0/UjHXDEPxgt/SrE6bj r0iPD+78QyD0PNZDy4uOCS7pTgqFA/D7qkGiewodHzzdNb+wcQCKJHvYg7ro aPiP79h7HSZXz3lvMzrAwE8qqTIz9F7It458KnCFgcmzajkhsr2wvsHsX7kr Aw04D94659UDXz9HsqSXMlArf8KGxtYN7Ss6yoQqgUFbtkWtFuqAnpVb6+Is CdTSXJfYYtYOgxIbVQ75ErjuovqT8Y9tEM9p311dQCDPW660edFWELMv29rV SaDQuVH7VdYtcMa3NCKPIFDaSnDNiHozCPTn9i3uJtGM51K3wIUGkOs81atx lMT2nL+jbyvq4HdZTLKHConuG0W19kAtLEk3P3XRI7EmcdPPpLxqOGFsXKto S+KsOEfsFakqsJwzy+71IFGN74DQvqQKMAl68lXxCYlBby5ZSgqWg02skPjd KBIP1XXrPH5VCtrsXBEun0j8mrV5QmpLCWSdXvJQyiCRO2BsU9DqImjI5rAe KiTR0yvqdgwtH7Zrqy2eqyKxXJf7b3Z7Duzj02p0biIxinaj9Oe3TFh11/ft 7U4Sb/QHtXjGpYMD/4K4XD+JHKHcz9vYU8AuyP14zTCJrh7Skcm98ZA4k/BO eJxE5W8Sm3xVY6E8vuXMhUkSG9Z8uZ7cFwqPHm7cdHyKGY/fTnqs2Xeg+syB Hz+Y7RO35cO8WLzxfGvNX5cJEv9dmKs3sn+J2znOKVaOkph4hFrUavcOp7iz 2gYHSVzV/O3VxfefUGnP0mBJD4lV6dpxg12p6D6UFO7Qxozv96FLoo+/4rr7 15Jl6kg8yrW222g0C/k9Ljk8LyFxWjxsJO5kHoZXSGk+zCbR7Z7rlrpXBchz hdK1IYnE2v2+m7+SxUi95PlMJIZE8aAX6pHCpTh4X3hnLzP+/veDzj9vKsPM ZXGRfcz90ZwKME+/V4GqAn/vrb9J4tMj52PHhKqwuo1r4pE2iXe85Za46qox cDNdNVqRaSde9ZO+U4uFninNkZwkXtLoLyYLGrCiT3Xdo2UCHzS+brAwbsLC HQvXNw8TuMvuB7WYpQUPn16R+v2RwC3yL+Pj37Xit+Qbyhb+BKKuYp3trTaM sqqJdLQiMPX+SLPRqXZ8d0az8b4wgXwndco+dHWgR+BSwf1/DLTQ4rcbj+tE VYOAtfv7GHhyzdPb4nZd6Oy/y97jCQNjrxz3SF7pxhCxac6DpgwkfLIjWit6 0E5nu/ATOQZWrRc6ORDUizukzeTMh+h4PL2v7d72flze+cQoczcdORhrD/Tv GEKQd9gtQKGhVeIDAfH2IURezUNqWTRUdB27uzNkGBsWttXMqdCQX2txUttn BEvvbUgqNqSiBLukIpU2ig9spNTcBakoKR+RE6E0hh+2tWVvHqNg6b+X5U6v x9BA9fSuAhMKeuu5/0u4wOTsdNCr2Ksz6NTrlREeNYHCY4ee6rLNoLtzhoYa bQKvSP1mX1U1jbzqX89tPzmJ9xQePxOVnsZ1lGMN5X2TuF90XeV+Jn+jHT+q X94yjaLGm/YlZ0+iUECA5D6daaznE5iUsZxEibSz7eSbaVR819vsXDGBUn5n HXQPz2Do3fW3F++Oo7rqrsM7T1HwY+jannGRcRQt1uKmu1HwvCqX4PbOMUw/ 6vmrLJuCb4TLiXNSY/iufsNde3EqJizvszk/OoLBbdu+uqynYdDbEZ83T0aw OIo3ZfdJGhpvWLTVkBnBwwZGBzNv0XBReMUgmW0Y+eIKa5PaaegwkbvZV3kA Yzj09wUE03Fy6a5camg/7vM99fn+Nzo+WWXKW97Xh+HK72mak3SMVJUz67Xt xcF/j2djmfuquk9323RGDzqfNQ/kMGbg/jH/dSzL3Si5/N7V4DEDxwUTS24/ 7EK+ljHnh00MpNWG8XRXdiK1weSL7iwDjcznRiw2dOL3v7oRa7YTeOJCniLv k3Yk/mNV6dEksDiz5ot6fRs+Vd4evnKbQG8PDoXaTW14JMD+/dwzAje/ffMm zb8FTTbIB12uIDDfexPnlaBmZEu1ufRlkMAJ9+cGbGuakEvUJ3JwgcAdNuJq cfcbkGL+9WH3FhJldGP4ds/XodcWKdHXe0nMvem99ZlNLaafPv1FXI7EjpJM d9aRamwYENV4eJFEvLp1z+maCmRbrU4E2pN4xaxyn9CJcmyZxxfyD0gcj/ys oPq5FP/Y+r35zDz3IQZjvbinBI9kf3k0E0ki/6DyOhmBIjz+7mHJTDyJfzc4 uzf+y8d2l0fDn7+Q2K1TJWY9nIPGTL0ol0/idYrxsX3FmRg1bX/wcSmTc1O9 FYKv03G3d37yqxoS61R59/z6kYy+USvptkwOP9iQG5aeGo/cGQfXrWkn8cuL iWqV+tc4EeTnadxFIk2nc8/ek6EI1R9+PWBy0OS5Q56PmT26bbO3Mu4l8dZz 5pmp8oHZCsFiVqZ9XbiVO8ExHM7za66x7SbRl/pOKpAlDmaoM5fCO0hcG2tr ulk1AbIbBDMftpB4Nf1HfMzTz8BG+psfqyexi3tn5YOZryCksfIqoYLEn62J 1xY3ZkNiYNqzYWZeKXi1+0akeB7sFtwR2Z/JHO87tVDpYgE8uja37TWTq7bV ajoD1sXw85mGmdAbEp/fyeMQLC+Brbvvstg9Z+aZS1aGTo5loGX/4sG5hyS+ vc/BShesgAqvpOTkOyT66UzrujRVQn7eFbX3xiRay4qX/XWvBt4UqtxBNRIz KlY+39lfC3MKL66qMPe7/6NOZEFLHWiu8LyaFyRRoacx1k+oCVwaLhezfycw fsfY0kh1M2Qczp64z8zraRLcNqY5LfCyRzfzYT6BjePGQoRuGyjKC3lff0Dg Vb7vzfNi7aDE++qshCGBF4krG3mX2qF+S7VM3AkCC9S0taPDOkFcO4ZiOs9A z/Sqt2PGXUCG837PZp6XvE7fSeGD3ZAG0xmpCQzUPWWuZVfcA42mvolPtRlo zPV9h4lfL9S3ab1zE2egX7/zGvHLfaCsrjK07S8dqXkfD3N194MeIWOqFkfH y7lVDsLRA0AJDaP8uE1H71uvqWP6g8B+7u3xy0DHV3c6lP/rH4KJhVnD/T00 vHqt46/zxAg4x7UIp/2i4vPXKiHnFEehQf3nrEwJFVXk19WqxowCz3Uro8e+ VFxhjfk0oj4GyY1PtvptpKKAYciBsZRxuFzhOmS0loK4eHKCxjIB2kslp51K ZzDJjbpvs/YEWH3f8N7y/gxWvjtJc/81AfPmLPt+EtN4S0t0MOf4FPh+2ljD Wz2Fq9edaGb1n4INPjbhD92Zde+ve23n26fAPnvnjolDU+iv3Cr52XoaAr9F 2b0PnkRKoPcqH78ZeCul0OKoMoH+bZRBifoZsAreKsH+YxwryJXrhewU0LT5 Syt5PY5t6ZcXTF5Q4Lqy7/775Bgey2XtfPqECokDmtb5QaNInXoSWF5JBR9h G1JcahR1DokJNvxl2oOhGv1dI+g7u+/veXsa/DQqD98gOIJ6Fi52ee9pMBfs sY3Pfxj5L81v+t5Fg4tk2FRZwxCGLtYUpp2gQ+YaFVU2rUE01vhrLmVHh/7I X3Yl4QMoPqJu5RRDh22HLmcf7WJyuani9OFFOpy30vVyudqHRi5D+WdeM+Dc RH+sjWI3GjRYXgkoY0DC1/271rl1IaMw4qzXNAOCB0UTPqZ3omHf42rXwwSU W3425OLvwCnZc5dc1Al49CVSbeFKO/oO1m8QcCDgVgoMrTxuw9cXbubcTCJg eovdeBKtBcXd6OwbKwm468BmY8zfgvM10o6Xhwng1/x8p/R1E55pefFNZokA tri4fvuVBjxwLrW1hIOEglW/DboM6nEHT0A6Q4SEJ27D6mwFtTi8Ntq4QIGE zuWanSJMnWmaExwrc4OEe/v01p1prsDLal1BI7dJaLt7QdrmQDkeqZNYe8Cb hN4YyfPFD0vxW3uZKXswCUqZc0VvcxC3qF3fGBpNAr8yy0kzy0L0X2Pr8Pkj CWSLqzmdKx8PFPDstGTq4uwDo29ulGXjgpViZH4uCbn2mUaTDhlo3Ov4KqGY hHMlxucUZdLw1tvVVRIVJGyLcxmwe5KAt5RX067UkCB53uFDzMg73Nqn2stW T0LVJWsPCZuXOF3p4GzWQIJaSVCJ6YX7uP17zxdNpr2/ft9kH7cbyEl9Ce6v I8FbK8fQOjYMnnKNCv9l6vivF1+QnO7vQGpa+MW3chLck1Pupu5LgLwds5u3 Mf05VXw8TqbpM3D0PGpfxfTX66DVF6kTGVB3sEvhWRoJj66aa98NzoZ1/LEf MuNJ+KZ65WLJSB7sMlLyYtb74Oy/R4ghVQjbjlDU25+ScLgn3K3LB8EjWOtD oycJn7P+eR+0LoWQmvndFrdIMBMzK4xnL4fNZ7tso5m6P1aU/ZpSVgWIvI/5 z0GNhD7zprKfulXQrXI3YlSeBD/Hnx6pf6phcdOuvQvCJNToHtuk8bYWHA0z B5PYSBBK1lzVolgPx5KnqlkWCfjMtns172gDhPl72kaVEZASm+s8yt4CJ2Xd 7lQmElCSRFwUb26BTXZX/1Q8I4Bycw93Y3ArsGJT11ktAk7TQ46zbmmHpV4h o3IZAqgqk8v+tUw9Fva+l4+bAKknFK8Lfh3w9FRglF47A0ZxccVipRPqPqje PpPOgJK7Z6Mzcrug/Hi98bqnDGBo/qcscKcbNromiR1WZMCg4V77k6M98KOw S3TX/87ffZ4npdn9sFb59knOW3S4naJNvWA9AFKqJZULZ+igq/Yk6hvPILid eSHlPUGDK1xsdcfdhqDwQ1pk524aJP2e3fLr5QiI2/gfVZ+hwjdDerIPZQT+ rkpWwQwqRPY4UExPjcIDHznhMCUqFHxPvCcyPgrCIXPFpwwocHGKlqC5fxxw v+1CtgAFspulptTvjsMLLWdJ+bEZKB4y63pSPg4H475ImJvPwLr69QMFhhPQ Ouyb+8ZwGiymOkLfB0zCywt50ik80/BdWFtRs3USfKJMozs7puDIqt8BB3mm 4NMWjfzg81Pwp05p9r9PUxD9X5j2kMgkFK6VV92RMw0r5acoIv0T4NBllF71 cxpS0jY7xoVMwB12mcSn8jMga/tvleLiOGzYe81SLXcG5B5M8Dl8G4P7yZ+3 6SZR4Ff5sFDizTEw9p35ZDNOgR9+WruP7BqDuCK+1V67qfDjWeNdcadROLWu Vj+eyd0UkWcjp4RGIPC24KoEQxqsG7yxvsl/GP5uyxHJCaOBjsXN9Tn1Q/Aw Y+28Xw0N5LaHSt38bxC043mEzI/QYTbS3Ec5ZACU2soYtsZ02DcT19nb2A8q x/cpHgqhw4Pb2h6XVfugKDtkrpFKh5eGR61PP+wFk5BI+RRuBiiruodsKuwB bl2/evkzDBjepnJN91A3zApNnjd8wQBt8yN/aKZdkOZpEvo9jwE1qe7jnpGd YKjAOnJoiAGRvVas1SwdUHzz8u+ofQQUb7Z/HXysHdplkt5WKxPgW1Un527R BrflslciLAiwaXz2cayqBSKPzynxxRGgSj2iPkFvhpL6Mt/6QgK8Yzq3vrrY BMkSrw/ydBMwv33y4sqqeuAI2LA5YD2TS5r7P/To10Je4SbeBH4mJ+iL7i+y qmF+me2U8VESzhvhxKktVVBlFef/RZmEu53zfxmmFfBvPIg/4hoJASkn57Lz yoCnteXoDmsSHhqFLCSylUL8gfLNB1xJiBDL8csqL4aGbtaVVl8SdC0vKX+z KYAMjWBbjuck6EgalgVuzQMBp+KGkRgSxOgCCReys8AuSeeTMpPDnY2YKKj3 FeTUHwef+kyCxLQSm+1SCuBVysGaTBJCBDS2GZ36CLGHX8lM5pGgWp++0Lw6 Flr+cDu9LCRhTutohd72EGhauV3YyeTisehTPI5eNyBOXuRXIjI5tK1mc1y7 H846SomwM22lnp5d82ORSDHbqrq2iATbnNrg24c/4DbxfLfgfBIav3mKeM4k 4fLqN9NJWSRs/PcwRvxKOv5TSq6/xuTqjyMSu7U+Z+KGGLgT+YkZD3+lnpcb ctH34VFpu1hmPExY91SZfsOqzVXe7S+Y81MOnC8tKEL6wKf2Jj9m/Ft6hr8E luA718l8IzcSDHZXeRZJl2FrKdnyyIaEIz0SKotD5TjYGlh1+joJj9sF16oG VKLu30rd0PPMeI3Lh7+WrEaG1B9tNxlmXghzrN3oWYdbuHr5dmxm9qfcN/y9 twGrJI611c4R4OckG/+xqhGrc7ubePoJEKl+bkb3bcFLnaaioR8JUJTkXftG qxVroxxn8wIIOMSXbuUn3IZd1NVDPjYEZG69Jt9V3I477KKTlg8QEGmRmfPm QQdG7+/ElY0EmIr4ckWe6MSw0j9HOmaYHHWVSvyX1YVOMUE3Vt4zYIrFcKvx 7W7cxx02oenJgA5/iaJW8R58yfFVyVuXAXXT/Gntr3uRxzXmtfVGBjxrO3VL S6sPa+/OZewfoQPHize36jf1o+wr3bGybDrEz92O8nIewKdlYyqvDemQ9iSA qqAwjJNNF3LWvKPB5LhNbsLMMEZ9gI4JZt3FevHrDcrFESxrcnj/VYEGQcmv 5PctjuCf8BO2PK1U2KdO+eqhNIZVGpoVBrMUEP+8wenyqzEcYUs4PJhDgaoD fVNm02PIN5EYqu9BgTcDD+U0/cfRbbV0qv4qCuzXkjIaLJpAz7xWxc+rZiDV 0cjswcZJnKhzlTPBaQjOHfK7oDWJhw/++7n//jQcc5O+d316Ek9anHH+8WMK eobOc3CwTqPBaYeEzs5J+JoY0IOq01ho3rtk9nQSlLubFf2eTKOp6unjvGcn 4dwqf70LW2fwqvnw6U0pE1Ak1Zh4g52CHy73SKk5jYPlSpyoyyUKutRdCbMX HocM7vfbn/lT8F4z2/7mtjG4+dChI/sPBad+8bw0lhiDix4TrzP7qHhYJ4R3 68gIzNxTHn/JQcPBk2m6z4JGAG7/nLA4R8MNjoFUc+kROL1feWNzAg1D35jL mmwZhhO0s8X+ZnQ0D5zfKqM8AA48MoMdwXTMl7l6R+RlPyQ80KCx5dOR63lM xJaxPvABY/9TmxgY07F9f597L0w/qNwgJcXAlVLDPU2VPXB8je6NTdcY6K1+ 9k87Rw/8fpDFsH7LwIqdRxmScV2QZ3XAjlbKwM0Svd3hM53w9o2Cpvo4A8mW Bh0xiU44xvvGMH0vgY5Snjw/8tvBbdR572dFAqm2K05yf9vAsmF98GOm7kpi qQipOtMGfFUPt1WGERhbnPJ4iMlZgWkZIfHPBNrTpD7f3dACTg3q1ZaVBC4E ed6YetEEIi2RfO4DBH6wGA8o3N4Ijty7zpj9INDcqPzC/bB6GGndZim0nkTq QJ6wNGcdxPNyVWTykigbfSLuR0gN7DnLelHzNIk7WJuHigIqYcwqn99QncTq CImRadYKOHF958PjhiS2Rb9fd9WzDEaue1KmbEj8bpS+ln2pBHLfF7eau5L4 LnzwyH9jxZAov7sig6lzH4tP/TRoLwBC76p2y1MSS0L9Zk3L8yDE6bVIUTiJ e/aGpHtmZMNE6peRe7Ekspa6tDW+y4BdrDWnWONJ1AxxW+rf/QUsFj7+02fq 7B6L8IzlxUTYUfZ8/uFnEmuEUqQlW96DiLThoms6iRPEn5a7V6LAZZUFVSGD xMNeBT+1WIPgUf7z0nqmnSdidiT5iAqEK+neE2faOVzb/S1O+aPDXD73tf/1 Z3vdq0NEoJ2AUvoV5vjxG3zWee95jwf1Ocx5mfN7Be4s41NOxPRjxQZfP5C4 sH2fQrlNGnI/9GjhZvrvW20VGKuagb8uL7FcYq6vSG7zX2G9bPRUvHlCnbn+ 0PzV17tv5uHpxEc9gsz43JlxXxPtVoC72N1PlruQ2Gw2Ya8eUIx8+ktdMsz4 JsYGBNDqSjAmREDYzYBEt19iCpuvlGHmZp+EZ5dJlNt2Idy1qxzVb/IsOp0i MeCUAlVIvxKXpy+mHjpEYoJcbujvoSp8Z9PtmMfD9Cf8zsyCSQ3WipdsUZsl UJDdT5vToh7PXzpro91PoHTnpms7Jxtw4agBXbqCQJYtJ8ZXmzfh+S4Lwu0F ganBCz8OfGlBXUNNzVFXAu+rCPzXZNeKVgNF7/caECjOunK09kAbHhBVviQn ROD+nPBdn+La8SzX4kW9fwyMD14M0rTrQLqvs8f+AQb+d9zSdodsJ4ZXDlfX PGegzlb99G9VXSj6a1gmzoaBNofVLz951o3P/dLuHTzLQMVfC7XqV3uw5JVv hQGDeX4V32s96e9FeHTy1fpSOi5zif/+EduHrTeWGm3D6IisxzLFjfvR+O7w O2tpOvLtO803MziA6ffO/Xfbioa/I1iU0+qHcVC/ymKvFA29WXzqOs6MYPSX nTlvl6l4a9Hs767YEdzbFLi41p+KE1ZjI+ZXRnFDS39gbRgFU01ZtGPSx5B9 +lwcvxYFqYvJ04brxrGZY8NRze0UvPFfSZSq/jhWfsrQsQ6ewYgJax2f1RPI kW0Y+Np1GodPl8iLqkyiN78soSoxjb/6Lj8peDmJLwNkT9Anp5B2TvOX3tgk htdYJR7SmMI9+SV3E9yn8LbP8fW0XZM4F8WiIfp2GrdGnXtRUDOB9cKOiWmT 08j3Zs7wnesEajwW6xI5OIOB0YaS2W3jKOCxyaE7YwbdU1pVnTzHUH1Wz34+ i4LtPMe4LouOYaVgxfKnHxSUdnu9Q695FIfU3XmPSlAx5m27xU7+Ubyn3WFX HU/F92lzca1lI8irgTcbBqkYzGLJaLQawZZgfP52Bw01x852Hjcexn9P9YM/ +dBwavufKDJ+CHm3rovpzKah+DnG6YuUQfQM5DlXO0PDWodLERwOA3hqtcCt hYt03H1fMLvauhd3v9J+JcLCwMBTa08VfO1Ble7lEhdRBrpNsXoXLHej9ZLJ zoTLDGw+W1Hw168LiyQ2Ob59xUA1b0k2jYZOrDyWlWCez8C06Ad1dVs7MSVi mx1rPwOnaJWv9CLa0c8/3buGl8CHUbaK93vbUJzqaUiXJ5D7Zk7QJG8burke HZvQJnB5z6hfUkwL8re4evz3lMAb78t27c9pRhuBE274kcAjtdYZpceaUOyA /uy/IgKz/kZbBR+sR8eS5Q8ElcAVgeXAwY+1WEt/JRLzj3lOGl1VpQRqsHRx 6AvXdhLXb/1WGBlRhWQvi+91ERLrxew5hDkq0TOek7SVJdEoNMN++HE51qnv unhehcRfCYFsg79LsXf3pl+EFomtfMcPHbxTgvaBfbeMTUlUXbnFl1FfhH7f PMSiHEiUOH94iZb5Dbd5TaTGuJGo7tX0bG9MLsZ0cr2wfETiSozaY2efLOz/ zeO2/IQ5X6xyKIvVV6Su4+TQCiNRRiOquS4iFf+ySrC5RJF4t9Dp1aMbnzAu Ll/e+A0zTyzOrViLvUMJk+1mHO9JZCy5HL4zHIYxGnk3/ZgcX9kbluOV/QB1 1RRlKz6SyKnYphy93Rmca42La5j25hjn3dMuz6FIdIb1JfP613Ouj/bPxMK2 p9Vc+5nj+bTZN3Md+gg5Zzds9mLON8TJkqxglgL0pOYtb5n+LP94+OlDQzqE xBuo+TH9Ddib8vbvVCbsDF+7QYbJ3VtSOUEhLLnQNCITlMJcb27leL4czzcI /G1zgMqMx2qpjwE9kkXQ91vy/CwzXqf1LNOShEvgZ+4e7VJmPDeLDbUrpZXC XdvWuuvaJBbz1zkdkS+Hf5PTEsXM/dia++Fs+oUqkDv0Yc8kc/9O7u7jEm+t hu3v9WeTmPsbH3M2KftaLWy7+kL5BAtzPT2PSytNGkBPKdi/qpPADZx7jh2a bITChnv8ZcUE+k0+PWdt1QweYXyPn30i8PWoaAOndCsYZZrERDgSyKjPCVOa awU+yWMaPToESpWyuZR/bYO9rGvH6ccJJA/dE3xyqAO+DI8fefWHgUc0sPru rm6Iq3mZv9mZgaFXlN4VjXSDnazf2slLDEzZVmxCJPSA0tSfwZt7GVjkXu0z dbQPeM1Zuh/U0zF8V9GPmMU+yNwmQm59Q8e2jHOO3Pn98Nqy5eG1W3SMXdhs KKcwCBVarzLWs9NR1TX+csPSIKwaX4V3+2k4V6iiy5ozBAOHTUXfMeu0eoun +bzcI6CryQg+dpKGGu+Ws40ejUKAd59rtA4Vz0WbyBYMjMKVedo3SV4qyiq6 XFeVGYOCUJ+OiAEKsqnlPh4aH4NDoS1t44YUbHzEqhctOwF71TomKjRn8M3V Xx/XBk5AVmSE2TG2GZxd1Hzq0zcBhbSh90FV0zhUssP6tfskiD81VmeRncb1 Ts4fl9Om4Hj3iwcWG6ZQ/3h7ge/yFNjJ8NW7fJtEhVZD3jXnpqH33Cz9ie0k Rky6Wbe1TYPBev6dLXUTSC96ynF1cgZW/VXREfUcx0LXjF4RUQr8ftGiXCw2 jmMv/3xst6IAGFkvubSNYYTNq6isSQrwT0aYGwqPYb3CedlT7VT4/fxpkkPB CJ5+6v43cjMN7imqf3tkPIIDxrLd+WdpcLO8gKV/9Qim+lc1KH6mQVd+hUhZ 8BA21LDtfD9CAwnbPfWSrYPIc+FPQzEnHfB4z6Iy5yDGaeveE3KiwzWVxRS/ 0H4UeH55m1kcHVb/vlpS3tiHccRBw2tNdFi4L3+7bmMffthZ+uu/fQyIulKn revZg2crZoXVShhQrX2I1el6Jxad1t9+cZwBW8Ia1mS96EBfLvfypTUE0Bp3 VnPUtSOb1aMIUyUCPt23LFWQbUM1BZllXlMCHvENJfPZtqJf04UIT08COqP3 5iq8bUG2178TzmYS4Py1bf7zpia8yVbf/K6egHa5l2oNDg0oe9jjzccxAqqa ugrSWutwXsOYS2OJAM2Qq/pWx2pxb/6i4tstJFRcSdPY8LIas/8unn0hQILj keTGD3PMeqhT+7yYFAl0V0MONc0KdNivGXzjDAlf5SwMt6eXoaLrfRMFDRL+ yuzauIWtFBe+FPNnG5Lw57BTb2hbMW44bHak5SYJCmI6ndmBBSgoxsf+xJmE B7mnelMgD4Od1qhOPmDq3HMvKiPms3A4IM1x6DGzf8NevzeJX1GNukfB5SkJ GzawC9XlpmJvV4d26nMSxPtWVQryf0KqRsMz73Bme+29Vdysb/GCq3f+jwgS kr6YN36se46WkgxcHUXCAe0YLy4VR+wTDY1IjyRBb/2V17f+8wGOPTdV/rwi gZafXX5/JBx2BS2PToaR4Bb7s4r3aRzkPDsXYh9CQu5/JqyiookQc6LmYVgg CSmvUtl4StPgj8RjFt2HTB0/GO/cnpoBrz1m9QvcSBCcH9E6t5QNOqPLP4tu kbC1fVkh92w+OFn+UblhTsJFxQTlTU8LYUqmvO79NRLKW/3e7exAKOjy5PK7 QMJ3rYGzhs9KgZGNFZsUmOurLhKYliiHE1NVor+5Sejatdh73bEKtFYuWFuz kmDms01KkLMGbsI3cXeCAOnKiOmO9FqwOW27FFxCQOCRR5Pl1AY4QW7d/DKB AE4DkfV9j5vgeolO2plnBGz8Jvi2nqMF/ozJ6MdoEaBHS4ozTmiFn2ftJy7I EiCxO+Eoq2MbdCSbr3zkJqBV7PCHrhPtsC53j49dOwNO+KzrpTR0gKzqwmjv Fwb0Jxds2/WyEyI1XxT/CmJA7z+fbVevd8EBhTpXw1MMcPqwr6RhvBuGc3qK 33MxwOToZvlfn3pg2clB5z2VDh9P9GzkvNkL5W8NKN0v6BC/aalliNIH2n2c bVc7aFA54a2/enAQCAOvQu6PNJiLVC0WDBoCjSLL2w3OzPPcLnqZS3YY3N9W vdu5jQZSmzysJZVHQLRqn7rZKSqYe0m/ZjwfBU/aI8sfa6lwZCVRwXV8FCLW U/b5NlJg0+ID8or0GBh/u3oyT48C33Pv6xDtY/C1qPpRnOUMBMTrZDlsmgCJ TcayvqIzkJF53fGQzgRMJH9u95ieZsZd3VE4bgJGu1XfZJpPw1s/096v0pNw lOv0lqdaU3DMp8h0teYU3LTjcTBgnwI5Lm3ekxHM71lmFHSqJ8HLMnJfVP8U NDgEzbfITkJKuEZnhsk03D60HSW3TEDNz0vr95jNQG1i/45oHIfdtbluB+Nm 4NNTLZNzjuPwwGGTzfmhGeAL0kg26RwDq/Bg3wRtCuQVcxkIhY3CmtpCRoE8 FRZU99wfUhwFp+obButuUeHRTx7GHGME3Nd1FqvHU8H9SIe9tMoIbLVruNLK 5OqZbmtK/dAgrAw3+1g10eDPuvs/PCUH4dSK5W7bPzTwVTjky+0zAEWBf8MN D9Ah2kRnM7tAPxSKNhpt8KZDcEuVl4ddHwgMvDQvSqKD8eNT7jN5vVB55E3O 9TY6CDfM2g6o98CHhjtC5wUZYJ5DSNyJ7IaQFztUwpUZ8J6kcAqNdgF3eF1T xU0GpBKRksStTgjecC+mMo0BHT02D3hyOqBQ2fDsy2YG6HESW+7/bgfdLyrb FUkG+L8osWf1bYMU/3BH8YMELBTOGcjktoKehCoWXiBgvaddQCylBewe97jP WRLgsu3SnE1kEzxR/MB3IZaAX/qng8mlBqCY+7+yyCHAlWW5WFy3Hl4fLUwR aiJgl6hdAsf2GmDjbnngvExAxJfX40MOVaDP+1V9IxsJyeJdhV9qK6DC9c/o 8f89T3lKYnu4cDnE1ATcXCtJwjUN8da4+6UQ33tI1BZI+CGY39mahFDHWWNn c5mE/iWxb790C4EUvfh69XVmuxiL3sS6fLDa9k30mAUJd0w+1mZlZsPkpZPP fzuQYLelU+KFcQY8N95lq+/K5PiHbiflHWnw83PRNU1PEnovmpzmsUmARL/q jSOPSBDrOnmSXvQObj5kUVoTwOSmWjZ1x96XkLbPorc4iIQVA6zl2OMBxuUi nzmYXD5xy2PftsvuWJ6VkLH4hMn5VUZvkxhhGFL+mOHEvP714UiXwA/vcCMl 5I6/Pwl8x2eeOf2XgNcu15lKMefL4ukKU/n1Gaee2S7cYeaBekrzxv4rGSh6 sc/+ggsJe157dHz7mI1vF5ME8+xJyJnN8Xm9lIdui68ci81IOCz6fV7vYiF2 //bpMdBlcnSG3NMYjfgvzaY77BIJMf1V/6adSzH99c015qdIuNX09eobvnL8 bpu0pukwCS0hJa9dSivwqb7xs7bdJOxIC140tKzC9PXlZo6bSGbejfc/s6kG 51zXGqYtEiB0/vJD9s+1qOSiauQ/SkAi5VYRD9mAlnxFBlzMPKxLo8QfDW5C mrS3U10UASVObXsXdrTggbsXKoW8CDDYqtR592srntE79CtPmYDICwkXN3i2 oUKgq/Pv/QRkmO9WqrzQjnqb2XUn1hHgZjisET3UgbnugtJfyhiQeOOB0ruE TrTWfw4v3zDASjX2Qeotpn5b2d4n4sY8L1TGcuafbrSjDAdqizMg66GNa2xp D8rJJx/8ycKsO4wbvtx83Is6tsZ31brocFPjiob/xn6U5iov4nnAtBvu6lXX 9uPWs98xXJ3JXbMLN6oDBhADum837qHDQd+PSpOrh/BZl5DfvQIalO1WMtdx GkFTypNjK5NUCLZ3+/O7egRTNn19aPKVCslXPIyX+UbxEtXQpcCDCkuZys5E 6Sj+m39YqMtGBQWuuAGrteN49LHrLpd9FHA0+xR3R2scdSvXRVRMz0BVQX15 /vtxVOp+/IE3eQaG2aPmlk5OYH7GF+7pgzOgaZ37aNhqEiMdUi6p7puGvMPz XgHpk/hrRbp/58gUHE2W0NBdmkRZK8nLa2KYtnC/ksnjKZzqLftygsndV8Ua Gg0vpxEMqHKO1Amo9uF4ZNw1jRz9Eea33k7ATf0+gTU7Z9CZ1ZXl7dUJCGZL DXENn8EszkHruPxxqAjfs7/cj4Ib0mYn/O8z84PxHZXYEgq26PxQsD84BrEy JgV3lynoFVb8NLZ3FJ52bujYZU3FMvHRedqxUTjiEKBFl6dh82TYTtnSYUh6 MmT1wIaGVg7NvpZcw9BQZHX6TzQNFTob/U0sh+DmbE1WwRINT465PWtbNwhL P0fiORLoWFZ9ocVEoQ++x+tZDDTTcVfd4aYE315Y0u5ZE/iTjrsr3VZ9b+yB UImNZR7nmDVRYvabD4bdcDIznl5sxUARZ39b/vgu2KQku3UgiIHm+xeO5lA6 IUD2X++bRga+n3LrNXHsAIXbKzNnGAzM9r5q8ii7HfyFo8ryNxPY4lcgPfqz Df4Z24gKKxNI+3Ta4pZ7K2jODt/jvEGg4bmOhLRvLXBnb6BQmxuBl6rTWULn m8G+b7d/cRKByZbIpk42wGz8eGV2KYHnkyXzXS7WQ9mWjM1KPQTea5I/ZBpf C8+33tG0ZhC4eqtbifBKNQjseh8vtIrEOD/uwSatKojktuG/xdSN/Le6FlxS KuANJWbmv30kTo0dD5JYVQ4f5kvPlh8jMWp91L4tOqXAv7TfreYMifM+HhmK Wgjb9g1RjNRJzBn+HfTvVwGUWNSx+umRSAlN5r//Lg82f49XOWVGYmT4Svmg Ujac+bv6nK8tideb+SYuzXwFsdbr0dcdmbrfiX+of8dnoE+u/4euJDZfnC7q 0vsEw5bq0lkeJA7IZXSkHX8LjZ2G7HKeJGbbnB3TK34O3aSm43kvEtXNq44f 23gHCuvkdWaY7RKCpE2W00O8e3BjKfcDEnUXeZbuZ79COe7UunamDj858zbh 78732BexGCNwl0SBdcEhRh2J+LUm0eEXU5fze1ZIhoR8wfENts/MrUhM8rxS /25fJvq71F01MiKRh6Z2K8w7Bx/HSh+ZuUpi64dx/nv9+fjc5EfU6vNM3T98 4YGoTBGa7t0rkqZAouGJ7UJFKiUYyPvVgXaQRIvhL5H7fpQi5/LV/QV8JN5r nwvNeV2OLjmeW/ZsIrH6wTkvY5VKDC0qzX83RuAbCLmY+KoG14uJa5c1EHjj 8vIloVN1mLfqY7V7NlOnJ3EGm43VI+/LwtCshwRO2+3MXhRrRq1Pf0D+f8+z DmVHbrVowe287q7XLhL4oNKHY0K6FVPqbk/YbyFwhwTGCrS1YfKnfQtWNAba JTjXOL9tR3/Lm0qstQw8miR1dcy2A10fq6zb583AoOhiodFVXRh2sNbq9BAd t3wkr9kI9SK/k52aYwYdS2Y7SM+pXvT3EuvTfkxH4sYFTdPkPjwUZqIuLUpH q8nlj3eODOCt+LLAY4s0fPTkSvsTYgAb/Vt30spp+DcRlK58HkT+S/c8nurT MFsznbNg/zCGdpD8HiI0vL6QfkB9dBgV/8akHiSoaKG9/o/05RGMLFSsHfCg omLsvfkta0Yx5rBLYW0ABRd+xYsetx7D3QLyhacuUrDXe8I/tmgM9/t/k3y5 iYJXWvKsD3OOYza9un7OfwYFZzPqSvLGUV36WXXz3WmMPn15vcbvCbTVKdyW dGQa/e5W7k2+MIn/rMSy709N4fNTCyucEZP4Q+Rbn8DVKZTqibnGKjGFFhI9 /V8FJ7H9X0rBqqvTqOIp2ZvfOoGDesVpzlHTeMNsbKHLZwKHnoRcGhiaxh+V SgVGw+M4w+Gm+cByBiVkXlM2ho7hqbAdtExrCl6ey98sqDCGm+q7Jdw+UTBk TizJenwUyfi6P3zjFFw6UZTz7tgontUIfkbqUvFhR9rVY6+G8Xnt/t9+sjTU 5V6YNBkawuy0lsjvTG4SE5ap0iJD+PbS1zbhNzTcKr34cTptAA91vhQZYqHj Sx9Ry57ZflRK95q6IUlH5+jvTsHH+jGL/X1YvBEdG0fVDttl9mLlxenXlrnM +0DiS0f8bA8+/1m/bXSUjncu+pdUHOlBq9yIeK7NDLwv+mZ64GMXppjVzb3V Y6ClvrnP1HAnehJPTs57MjAnncr3a1cnCrzZWvjrPQPtJXoCTQPa8bPcOM+u aQYKZ8ly1ha34dOi578OridQONNjjeF8K0afmuKmixBY4c2+LGnYgjEVq1Nt jQl07L0/v1aoGR/uufRWzJ1AvonoCjW/Rsyz1Cl/GkZg+j9P182X61CRf+m4 ShmBuYV2bQlpNeh+Y847qptAvVv1FAmOauQUfTEaQiNQ/rknT45DJdLH798X +0sgpfJzjVpjOepktviYcpD44fO89bqDZZjhICZ1SoDEYOUXdxf8S7Br68fe 3MNMLmVLTOrWFOGkzUJvK5MLtGMSPR5e31D6gOG7IBUSo60j1FkccjGXWBQ+ oUFiTye7zAf9LKSbKjnk6pLYFN1S/fD8V6yQLzj8z5jExuutL91vpiLwpu3m tCRx3c/tbGOKnzD/7H+rvtuQKPuhJvzezneoF5/xOZLJNR6RmYSFvjCMi2z+ t/kOk4PNeiEHeTyRwvdw9AKTw3x9bLuuKThBU9iT85qO//vfQP7yUeHn8EYw TFaEeT17WKHRdtdYiHETyS9jjpe3dK5taCIeJLWyKOJMrrdRP5wzYEuB3Trh DEOmPzO7hLJNo9Mh4gXLov4NEiu8fvQ7fM6Exy/YFUWYeSJXsUM7C3MAp7O5 vjHXm8h7gMrVmg+Zl2pqeFVJXNNx5abjaCHABbJQ9SSJX6Drc9p3hI2OiYZn JEnkolc1aXuVgqvAGeENwsx4zJuFf1xbDn7Y+vw1F4lhcfnJck8q4P5n+eP/ 1pBo8uD71FRYNZy0K06VYnJV49+K9BR3LZwYOdu+upnAd7ZnheiRdXDmjv50 /DcCK71UA1uiGkHprwmbcTDz/gr95PZ8VzPs5BjquudCYNrfy8vsl1rgx/Xl P5aGBFov+jp9qWqFhT1slytECVz4a8jn8agNHt1KCZJh5v1B+UsGIdAO+tyC al7MukCePa/WObsDDpOr/71LY+BPyq4oOaY+O+k8aeTxjIFJ3wZV94t1geC4 g8AxWwZOPYwdtYnohvSXvryKwgy8+HPb14zLPeDArMYjV+jMutT6wCbWXrio L8HR3kXHzJ8zZxps+uDQafuGn0wOmz+64DxweBDyMqhnDnTTUHUq6fNI/yAY dPtsrUykYXWS/WxRwBDwPn/xU8ONhrIy3tyUoWFYa+hkp7iThnsfvXEUOT0K X6h7MFOFiuyt3DySoaOw41Zt59qtVHyv5GDybHQU+D6w117roeBOYY4bxx6O QXJC0CSrJQXVrXiudn8bh6osF+eCuzOo8Hoi1ZdtAiQdzPNWpGZwVCrG7YLx BDBOrw8WY0yjj/ex7E0sk2A6V+6kdGMaXa9e37ledgr+zTl4k8en8F6C0N7N PlMwabhBo4UxiQ+2zF/ZVM+sU6n0n5nvJjFDrbWdrj8Nx/nZ25+zTqKh8kH6 9O0ZmDE1kNlSPI6/Aq7o2WTOQEDyyLyVzTi65/aFNs3PQBDKfx7fMY6n3ku/ l3SmwDOqjfFFmzFcvWRfLJZBAfOttvynto9hzkd+8Z8EBShiUgbGBaOoI/93 /RYLKlx0/K52duMoqm+/Lnb5DRV+88mwb/4ygsZPcV6viwqn1dwctmuNoMnO OL+GszTYK2bOPS03jJs4r+u3baHDl6QtLI0qA8jLnqB6+CQdOMnKJ2f9+1Em P/XUGRs6mGnNLbhX9WF47/tNT8vo4NryXevamV4s2VsyU0ynw8/rX8a3POhh 1p38w+93MHXOnrlHibndaFG6UONixoAjmocKsg90Ydx01UmzAAbktLhfOW7S iRsZqbXLKQzYqyz5syqiA8Xyv/fsIRkQu0DQ9q1uR/Ks5rVkdgLeJee8WC/b hpqDP6Z6DxEQ//3Zz103W9GqKGxIwIKAXHUV8b6oZjwzeKvkGFPHtQR6j/r+ bsS+QuOEqQimjjuY8KZbvwHFe/nuyX0h4E1R+6HJb3UYO2wkKlJJgMyldIuS XbVo+XE2P62XgI3HYyXv363GSxY5Su10Ai55dPkcbK3E9ecy6c//EhAhH6k3 erACy7fvnqawkzA9fbY8/XEZPrTVd+vjJ5lyxbMjdagEWwjeZdODJEyaoW6r fTHem7nY8FCOhI6lLZPE7gIc3Xvg5vGzJNzQC0ztqcvFmjWqOn5MXVwX5cGX 7ZqFHLPB4jevksDtx5mcLPwVjSnnn43qkaC++b9sjE1BT6c9sqQRCVwcq28v /ojHluYZe2NT5vWnF2+L3YnFYy8uCIWZk2Do4lL03+9Q3Bi262TQ/36HuJ9Q 5LPdEeP9PuUoMe1HqV/E3lZ5wQ7ZovAypm6Hc7sV661ewmmFt1RWExKs3Vn2 +Tm8A87j69s3GJLgVBzxziXxEwh+3O/Weo0E5e+davdGU+Hmvw/bja6QUJhf Jf3p6VeIiYmcTLtAgvEoXagvIQvqpp6drlAk4U9bfYx8WS5kSrq7v5El4ZMV ofu+/xtU/SxcdZoZr4tmuTxLc0XAksd74cMeEvzONmk9e1wCPSfzWpu2krD8 QvL23a1loO+y40DpKhK+HUpsjY8uh5LW9RT3WQKqz5yY27yvEmJ3ZOX+GSb+ j4Lzjqf6/+K4UqQhlKykiEQ0pUEnSqRQSqRoaQ+itIhQEdkkI2SFyN517L33 HtfFnZ9rVcSX3+f3132cx/v9eX/O57zPeZ736z7u/cCiIvtCyPdy+Ff0Xlu7 jgCFENP3x/ZVQtz0buNLuQQY3jcS/Z1XBdSmkNSD0QQoSzrGRRytgZHHg0rD HwkIZ9B695fVwtFzO2RDzAjwZN4WGq1uAKrCevfEYwQ8eSWoPx7TCA9tXGgf 5AnwenDaqvRmExwb2kLNI9hAMVDbdG64GVhnB8e5HrKh6U+R9YG2NhBMUWiK P0nme5VRZbBXO/yor/BRlGWDlUWVhejJDvDSgvfYyYKVD9W0dXI7YQe/X3Fr CgsYa0zWsiy7wKFhDbPyPQsOUiRlPGW7gXd68eP5PSy4FSEUkfKxB2K9J+9y lrPA8txEr/TRXrh1afC3ZScTln26s+bZRC80LD1/aftLJmzW4b4ff6YfqLt3 W6elMEDkhkzDIcdByPiiFvDjFQO6q/8Yh7QOAqqYL0RqMeDgr9Tgs/JDICoU esCynQ4Jw6byaXVD4HpLNI7OpEGCtPQIbe0wuF6sX9mQTIOqqRCvUPNh4A0s pOeTPHy04851j+/DsFPaeiJzYgyaM4VOrD9BBS/pDdutaaOgITS77bHlCGh6 bN6hEjMKW5LXD+lkjcAZgUUpyWujMNumlqU3PwJeXmzVW+0jEFXova317Sgo PZuz25ZNhYXAd8IenmMgMXpj8+WHVNBwp99yqR8DJRkhqJGmwsuzCr4Ba2iQ JO2oZeE+DJUS7L8zrjSoMRO0bD5HgarWP47OJIe/hAmlKC6jwJtT89QlSXR4 40VtaU8fgrrNRoLvqXSo2XR8VllwCHgirt4LO8OADQr8cq9cB6C45FpN0UYm 3Ozz3Dbb3w8DX/r71PWYkPvqKY/evn5Y/u0ed6odE0zPj2l79/TCiVr2nafk viRS86LUJLvhfqEIl7YzC57Gaa3ccr8LRoWjKk4lssDf8oCKQE4n9L+StzzU TO67X+tyBYMOoJff/dCwkQ08hx+bXP/cDimGrco2R9kQ3t5RWUhpgy6j1PVz 19nwmLOQs8qmFRIWeO3SotlwOcdoG09eC2j57XIZKGHDJEPCW5OrBRTPa/Qw h9jwal/067APTTAv8GIuTJwAp26lHdX1jXAuuvarhgoBOrhDxkioEczEbI0K 9Qm4qZ7IrbWzDnb1Twqdek2A+dtK59G0GgioyDlv5E+AXubpv/Yq1RDPqV6r Gk+Abm5co1h2JYwsiXvFKSCgJjjHvVK1AhJ91/TYNxDALaiRFJRdBvyqfHZD gwRk5JoUB+0vBfOdv7PFyDp3Xjp4pSOjGEainKdkuTjQUjG55caeIkCbki/L SS7HXM68EGCOYB8gq5IjzoHwF0t1DxoXgC2fk7q6HAeW25a8bNDPBUezjbr+ uzjglf/b4KlWFkwWxc0UHOTAQ3vHgzqH06Hrh+5klgYHai6J/Li5KwXEN39l vtHhwODLg+btJxPg0bnSaEl9DtiW8L5i7Y4GTcVjdDdDDvQHO95K3B4C8iMd IwtGHDhc0pvyq9cdeqM33uM3Ibm9HLyfnT0BuzfwXssh7V13VDlWQm5oF/6q bJ7kqtX0nMGF0s9Y7KD3tYe8/tJGXysJhyjkVz0iZESub110I26LRAJuOzgP d/U4cL42fN+saQoGMjbfEtUm+0hKxK7IuHRcT1NquA4cKPIUkbsxlYX+QW5t OiR3U3Lo9mJH8pB35avhapK7HR6KSV/e/8QVYrI2dCkOJJy5FTJ6uxA/DTvy xwhxIC4msh1WFaPJe2ODBW4O/JcjYVqZVIIPFA8P/J4i4IzBhjcPDcpQ54LD Mw8KAfs/C6duHC/HNq9dQ8XkfqYaZZiWeFWi0ZlVvz/nE1D65Nk/feVqfKpm HSIUS4DHnkixpJoaLEu+UavkRfbtcG6Dmtt1aOj1yItlS4CsezN8WtqABS9i 5wxIDs9eSwj+K9aECfdVX/DJkeP7Ou8qjjThYFf38usrCCgT35fq86MZIVhm jwWdDfzKOdFNGq0ouPPiivtxZL4fpKnIXupAV3bPmaR1bKC6JodPbupE8/PM 9fZMFiRG+X1IHOrE3SWLatzkuWc27dqxnze6UbToksqh+yw4tPr+0DKZHnTo EKMR6iw42f0pUnioB0+8CSu5tpYFbx78/WV1sQ+XXJAw+ZDMhBZHr0sJ6/rx tZnsreNk/e/0av3sXtuPp9cPnyjTYUKItJOAkOQgip6LKN3az4CIK6efjLwZ QumQ1V5f/tHB8jvr0s6uITzz5GBy8y86PIkTFEzaScExx3Ufht7QQX3TE9d9 3RRc7/fibvAyOnhz2aqvlKViSFbkzsr5MdjfdIHq+pSKVQlOR7fkjEFJFz1U soyKP9/fOfTAegzWakvKvro2glyJinepw6Pw12WNeKznKKYnjhdn543AeUql W3jzKHptLxjbYjMC+8KXN2cKj6F7femjbIUR4Dmyzkf58xg6Gn8hLD9RQflc zImVATT0TPdyvn17GG4/uJkX1URDqxXjevZiwzC88fmRE2vo+Or15762ago8 TOQ5EfaGjnrqez0vKVJgp46KhJE5A1tV5N0FqIMQkm/yacaXgQnMc1/9vAdh svhSkV85Ax1fbMuyVhsEv2Y/pXgFJp57rNQdtXUA3k1w+0hdYuIaHjeT1Of9 4LBlnPr2AxMPqMyCT00fHLC3Xi8xykTKl8dqww97oaWr/uYJIRY+/kkZvf6z B86mXPAzVWfh2u3pWxtX9cBeuubIfm8WBkL5nGdMF7z4fuKVnzwb1QMKMq7V tQNFYu+LrlNsHLThPiUo3A5iu2f3zz9kY9zzoYzRS21wY5tHTjOpu5RTK+ul xlpAtZRv3rmOjT/nAmd8FFvAb3fPwmomG1vT/tBOWDbDVXvBwkhpAu/r7bwR ON0IUY8UTRPVCBzR3h4J+xvB0Vb0vqsRgVkPqsR9iXowraTL5zoTmOmmoL6P UwOjNl38qz4T6DJXfXboYTUsf1natyOJwP7wPcYfmJVg+/u4Ql8TgW57yw6v ppYBiJ+He6ROdcr+rMJ9pRS66q88KJ0gdeR9s/N7uopB79egOHORwAmZrNxv hkUgLwuFfas5yHbK3sgMRHDZ1NkXIsrBDFlu7jPvC0Dn5dIlsqROPkx97f3F NhfsN64reb6Dgy5nfh/8bZEFF0auVgXu42D+kTB7a8N04JHWKXt9mIOddYyh fZACIu+UnuzS4GDT/kJa5oUE0ExyDE/U4qDRo3xvHuVo8JX9tXFch9TlL2o6 dvOFQvOSx3X/6XLw664HZd/ueYHm9N7w1lMcpFw7WfeC9z6YT6S6PyHtwwl9 +jxjb5BpGhvUd5KDfRqs467aAdgldcu37AQHPwg1v3Y5G4kOtvWhRzU5eP/x ktZHC3FYpSPP0Vfj4PDeoCMqCcmoNHGpaZz0X/b3m+njCWnY3cYOkSOfjzHu /t5rIRNFNf9lj2/h4MrDtY4tZ3Nx++td4QYbSH/SKesZUQUYJ1vXc4yPgxXv H7/7Po1IK/BbUf+PQJr3+Lp/kUXo9Lai8f+/s/ue6qNcp1OCl3xlxmO7CBxY nq9fQJRiiETznr/lBBKSvocy/MqRELrxdDCNwDOOUSWRqpVoN1MUfSOMwON3 iised1ch7yaphsOPCGRlCs492FiHeqomv33PE9gRI6VonV+PN+/km7seJHBN cifr3Y5G/M4rzn1ukY3/3txI669owgvvDjAUBtl409dp2Mi/Gc3b4h7EIhv5 jzzvnrzSgs+7SnU9X7Jxk3j1yhfTrRj44H3Tf0Zs/PtSrMPgZxveuBR+UmQX G1Uy5r22vW3HO8ODaw0GWWj8TvB+pmAnxr2wvc6zm4Wf+m7M60v2YDhr2mZ2 CQvTLA6t393Xg+zmTXyxTUzMPP40tTakF5Vifsfse8hE5i2iZY1wPz79uGPv 3QAGLrBO6Vi8GsS3HyKd7l5mYMFc1NeStkF8cCThy35pBrbfq6Gb7RxCyisT jkYCHX8Vrfi7Z3AI/XS+dN77TkPxXn45juowJmTrr5W6R8OBg11Fme7D+Igv pitLjob7e0ozPvUPo3fOEdew0DHUPPvM/8sbKv6qpyREvBrFt1OlJ84WjOAh w0bH6l2juERm7RX3FaMozVjNnqCO4Il9rNaSc6MYqn3DUlt3BPcy/VSkx0Yx /+ZTlhUfFSUI7WnVJTQU+R7/41HOMJpXFT6qO0ZDbPuk6nVrGAWux3mefUva xN0V2oUUXFogYCC+nI7DA1f7Z+4OYepKmSdX/9JxZ3Jbmo3QEHLbWN6R3M3A yUqrzTvzBlE3Juxm+l0G8pc8MH7GO4g8LipfrnYw0F6pqenZ3j7ctH8l1T6a iWvtJBfOvehFvysTEYWtTOx0f6cy8bMHQ5wovNXcLJz901PldawbDT+ZxMqb s/DgW/vqSJcu9Czqob9wY+FGGmNjYGknqof4cNzSWVjs6vdBW6MDv7SZTfdz s/HyTusk4dftqHTfymqzAhvLqqN20XLbsPZW2zcxAzae/NRLKVBuxUzeutEd AWys+vfycePtFtzoVt97LIuNHOWOTasimlHhurTV6nY2mvbULoryN6FlyMD4 d0ECE+/k9v93rBGd/uodd1IicGb3OwvTyXpck6qyZJkOgZM7T1ZduVSHS9Ub FnddI1C5Wq1BsqQGHQ30tq14QSCX+dY7sdur0U2E/tDVi6zDgsN+q8jzy68m dmdKNIFdrc496RfKcFbqn92fagL91G/ulcgtwbgzZ1cL9RL4avdRnzjxYhRU LHnQzCRwtqJY8f6rQhR3c+fsJ+v80O/PLuNZP7G0aufvI7wcHMw/caD4aR62 Zb9l04U4yL3k2Fqrvdl4uTTXWFWSg/v+dqRtGk/HQP/zxXJyHNzpdLxjMjEF /6NAzf+/7/X7fvSJdH0C2qZXSzH2clDopr2G+rFolO/+bvfzAAdfih8zXXwU gjvb+JJ3kxwz/3Hkct13D0yesfY6cYSDmUk1YWqt5/AFm7ZqnrQl+M4s+579 HoSceiX//z+K6+5zt85NB8GqeuUGHfJ602Plno3Lo6AkbtfBQXL90CW+fwK8 48H9QaSLKMlFXq1nO0TXpICaRBJ9gvRPcKhcVPFsOhgV0X88IP03NHTkueKf BfWHziu7kc83GjKj5dWeC9HHT9dor+Nge53S3k8iP+ElxWv+GxkfaedUiXjF QjAQ2a+dRMavmm02UlddBJkT38CIRca7RGVBT68EdAtPDOT1EVhwQ72Yv6EU Jg+HB07WEbj+wvUnS86Uw8+fq5f+V0Cgg+eHKyKNFRDl/6CqO4Hsm1pbOzQM quCgq2iExycCBe0zVa3rqmE7c+D4OrKvdvF/u5BQXgei5pJKXy8QWLvMjytA owEmDA5u+36EwI3uzZkxZo0Q7Z542VOWwFzp92yrtib4xH3zxgCHzF/WtL+h dzNk30rTOtPCxgpR3jv2ui1gtUz/bVgmG0d6BLf5FrTCp1T93CZbNs5+9Bp/ +KQN3B60iuSTHE1cdSLSVrEduqab4t7uZeNu99LqycAOeK5xMr6EycJ007/X TE51As8yp96D5SzcoV0o2bDQCRY2AaWB4aR9ffZr6/VuqF9hlLTSgIXvF/a1 Gq3rAeHy72VbZVm47rn0v9riHgicFSlW/MdEzwzl606b+uCY9YuVvJFM/HFQ PvlM5QD8TvwaIENhoK2dnCxVdRBUrpQfbfvBwKe1DXlc7oOwvNpE2smOgTxr Xvoa7ByClJ+rrNuEGGihHJzEsqQAn65ZVcheOuYeo+gY/6JAWueN21dnaTjE tl3kWz0MqkpNK3f/ouFcuiv9cMwwuGxIsl88TsPlN8OfOtZTYWaPZ5uv9hg2 n+N16N4wAkr3RKVml4/h/pwteTfNR+Dwg7ver0tInu4spCxjjoDmgZvSE4dH 8e5HQV+Jf6Nw7JPqtV/SI7jubca7jMNjcJYVzXe7m4qTG1f8ums3BkGKuPm4 DxUvSE9skpobgx/6u9pj54dx+VRPiTWbBrVBIlHm1RQ0fVyw4cMOOqQHvMk9 95SCvxYK9R3u0SFt2Qrup1IUzPiv9MoMhQ7DVbTkU4+HcEN4RLOtJAOeN2yh rRAbwqDwQPPKCwxYdrZ7ydLCQdyv8MOtu4wBlFtWo9mrBnH3i6U7A+cYYNdJ hM5eHcCsopX/xHcxITduNFIivh81LuXG2gYwQctdwOakSh96/lycUz3LAv3t qgmqR7rxUMWWtQt2LDC0+Cv7yL4L9xcv8tjFsYBzMSfRMb8To/9uEwuaYUFs VWPF5X0dmC1b5LtHig3uWnl/VC3b0Tiz74f9cTbc7vnvilB8G+6djTog5c4G Ed0KP5pYK6n+deysv7Nhj3Ga4Z8zLViZ6brOqpYNZ+Wm9m5734zn7G8FWJA6 TF8mOHPDRCM2azCbTbYSsGij93lsayOulP7HN3mEAHl+dV2ulHo8wqrJ5Lci 4KCywB7T5zVoEHP6n9c7AoRWWKz+Rp5fdq9ldaSGEOCY73my4XAlfpuaNLP5 QcBaurAPJaQcH69xSmwpImCdYVng9L9SfMIbymlqJuCQb4eY6MUS1C9TvvuQ 1KW/DDdRr2QVYdC0xO2YcQIOLFeo6hcqROvRozov/iPg0h2KrkFfAR5ItX9F W8GB0hYiL9gvFwc+5ztMkjp4zG4st0wnC8tKJ4cDJTigtZ1Q/DOfhgVKO7Xb pDlgvEeHK/rqD6SN+pskyXOA84dhtlD2DQO+3OjYpMSBB0OVVtoKX9H7/qzv 9l0cWEbTdwuU+ITLBlvv1e3mwFlHtyzjEmesuR6ov3IPB9Z7L6ZXlN4DsQau I4Pk/NJL01nhvt7w2nRWx0CZA55cY/saa8JApeidl7ECBz7bM7dWvYmBPzkN GrNbOWCtc3M8duN3kE4Qjdi3iQPmx0+i+KVUcPlR+I9vA7ke1dxqfVwGjPaq p71YzQH68uAw8clsuFMrquqyhAPcZRcseNXyYdp6jE/hNwEJud1EhssvkFTT zr8/RsBXsWX5CyOF8O5hO/NkJwHTd10j+1yLQax5x+myCgIMsvxMqAqlkJ3U EtqfSYCpQ5AIV20Z9I3lXiU+EnB9KqZIcVUVZBXeirvzggBvo3b89LEaTN/O O6beIIBTteG/P/y18HF12u20fQT0XP01asjfACtNFg0eSBCwKeFqqeiJRljT Z/9mhouAsLcbE28sa4KqA8Ez7pVs2CaZ+oR43QxHXw08C0hgw27VI++kDrdA g7Fn+lMyn4cYTu6ef1rgCVfFOTzJhvbv2Zv57rcBu3LuVmgOC/7RqvhjTnaC 812+OEcfFjy491LmH8nVs9eEMk/cZUHv8e13z6V3wU1+vpDXwix44s+58Ee0 B/rcDwXXXmWCzPX61EMdfbAdWTwEWb/Td75yEc79UFthJrW4yIA3V6+rPto5 AJrvc9fOBDPAtujYSTONQRhgrbpqX0qHvx6MjSMeQ2AycfjseQ+SJ509HcL9 QyBhd/Sp4jk6VDNVqb7KFFDc12c63EcDrvS+qzfrKOCgpjmaNzYGrFV+3sJL qfC+V+1xa9wYfBr6fdpQjwrJtUyVJbfHIDUwcK6Y1OtDN5KivlBGITb1tt8+ Us+Hr6713NMwAp70uyp8WqOQe3tUZqfrCESNvGsNcBuFkcTAk+ePjsAn3+W8 R+tGoS/wQ6BMMhUkB5VCKGfHIOylw65tjsOgUGaRInqGBt/uHV+Ru2cYwl4f 7Tv5keTo7smhD1QK3Ivot3WpooHnjyVj/7QoEL1lwns10IFO3U25wTUEBzL3 s+Q3MSC++GfJRPIgCKleYV4yZADXF/M7A5cHYYug4LT3WwbICZ8prH04ALw9 DnazNAZMJ26jryrvB3OzrxrbxZigYPszVEayH5wV1UPO6TBhl+3PrX8qeoEd 5rbUJ4oJ+owzrT8leiFY7lF0RAMTbq18UfrsUQ/YB5/ljv7HhMOMqo+9At2w JOuQl4MeCyZaOyekdTvAvk/3yJVRFjBGmR9UAtvhZrLt4BAfG9JvfouxHGoD +UevX5zewYakwdUxT5+2wsZSU5vWh2y4POYGBr9awHjVhascDza8PtRefp+n BWKlfS+zyTzNCtlq7ObfBNuLuwQ8h9kwL+elH9TdCNX1IwnKC2w4FrNuLc/m Ruj7qy2aLEKAcl2C6D7DOgi9GfRNS5uAY0HnGkK7aqBZPmbZZTMCmvztfOau VMMQ14VYPWsC7ji9k2m9WwE3SxkxGESAcAvH4R67DJybxQOOJBAw19++uNOq FDZT/VkBeQT4/eJa2DNZDFGlZQJlVQSUGz3sfWNTBNXmGo9rOkiuX/vMe4GG sF680vUblQBjLVrZC1oB2Nae6rtEcpZyKrbXfSwXDh6dXqT+Izkg2XgkfiQL kvVkPh5bxoEQvrs0gpIOHa7PdzwjOVSbdqPvxUAK+Di1ejusI+2u9WfrsxLh Ytil55fFOPDlW31GXFIMeDx9/n0NybUzlJTNT7TDgd7bt8RvCwfqLt9VcNjj BxZ3XU1YMhzoehhe72djBwc+YYiYLAf27Rs6HjRsgyKvNxSLk3ZibInVQ34f 9BF7UMch59dkNuapyYRh2FZmdRC5nvisVYllSDQeduVrESbvl5d0rMAqOgGv mb3nu036c4DgeO+9kIKLbx6GeZD+ah6/8MDjYjreKFpV9Y58npvrW2myl7OQ 4/WnyYh8XuEVp3mGzXLxgOkyvn9kPIyDJOpizQsw9bZutQ0Zr/TNewzOmyPy nRWzLyHj+anK7/xt5SI8tnLWj07Gu+ta/Jv578XY6RjtMUrux8UIy5M9CqXY X7dsPI/cL2Hjx3q/48rww7yi4W1yP8/3XsyKDK9EIrQoWJfsq58oB/k1DlWj 4Q3fW+Vk3324y/W/9JYa7Aw+OUe7SICWqo5M7dIG/E9tOEZOngANa+1wudON WG687vexNQSIBh/r37GhCanNiQ6rJ8h8729JGo1rxhk90avRGWzwSzGzcbVs QeO4P7dt/dkwZ//7/On9rYgn966dtWbDGoHzR0WK2rDhScqxDWR9tJX4dZVV d2Lv2UMZfZ4s2BGfZe7yoQvlohd+XrNgwbXEqUqpk91YVnV5KuoAC+Qbpj7V FPfgpotrc+/1MWGbP+/xGvtedOqoMplKYgJxzN/inWof9q8t0NS0Z8KWdVzK /HH9aJThmHRYlAnfwtN8qi8PoLxZ03fGMAPUEzaNe68YxC+rZKbuJDOg37vr RyGpl63X9o/2AgMsxHoOrd9AwdVXA8/QztOBcHkmP36PgqrJ3vzGInSwrBP/ 8O8XaYvZfIzvpMGSozXN7hbDuCU/d2GZCQ3O2M9kHYqhYthGhezRk2NgMNCq sXWKiiNjoFjKPQYCwXW+UkdHsKbSciG0YBR2EfWT6h0jmBHa8FhPcRRW33u2 UDA7ijlMhcZl/1GBn8eltAPG0EGGpiz6gwoTtCvaDJcxpNvLPNC4SgW1Q/wm jFU05OeL8xjGYeDiWy68bA0d1ywRpFQ/oYCT9fJBN1064iH92xNSFPB0LT89 /o6O5b+uDepWD8GJnSfvn5+nY9yqr8yYjUMwfLVu954uBobpScw3WQ3Aylqt jwt8TNxQU7zFrKIfjg3nfMCDTGwp3XQjd2M/RGw+vUk0kIkO0g6RiyW9IMrf s+17MRPl9nNx/gj3wp4tN/OUCCbecUyc6brVA+Xl99omNVgYkrXG5PXybph9 KyW39x4LNbQVzumd64L5O9e8TX1YuNIy87xMRCf4bxjJMellIa2UvplLtQNW 8khOMSzYGDbAbDhq2gp1p1rM1FzYONhXkrgqsgVUjI3W3vvKxr/3d/cKjzXD 8f2mqUY9bCTUXswue9wEoxKvbAT/sFEgSN54JqMRAs/kSsWsJVB/RrDNa7wB QtXUjM8AgWkZvzN3/6uFt7c91t4yItAuQTzrrH0NfIyVXn3mHoHDj1y+WyxW gZ7OVcc1rwnUerTa+IVjJezffjQxzJvAs0eP2X/hqoAcIfOOxUgCM8L7ORSH Mngb95/p3jQCLVZsczVaKIH8XoEg1SICT3Hd3Lbcrhi8F9XnVzUQqLFeP4tr thCMtUe4UnoIPC82rJPM+AXlU7KKMmOkTs092aBMyYctfymrbk4QmP9j4E9E Zw5s2VEBT0ndHH9xolC6PhM8RU5anlvKwefXB1Sbi9PglEqy/uIKDqYsZfUE P/wBcY1rvjzn56BNz/sZi/PxIHDn3HYUInW9BGUpHIqCnpCjlc3CHNxXcc6p +kgwSH57ZJ4uwsEQvbtcZwQ84NNdg56rohy8k9O7flLADALYSod6yHEvqWt0 /loXbPNQdpLewMFWh+mNUaGBeN5Hv3w/qfsZi6KhsncjUfH2DVnRtRw8LhkT dMw5Du+biFWX83EwcO/sUcvQJFxsmWBocnOQ/a5daX93KtaCRrXHHIEDuzLM HEYycN5oR1b0JIFCrsGbf3OyMXZNzAp3GoERj+5YvpjNwxH+29uO9hEoreZw mljyCz3TppxLGwlst3pKCXYpxKiPH0NESwjc1VI6E8RbjBmue/+qZRB4LEPM juJWglbOIYp7ogk8rmz17s6qMnzqsqNrxpfAvMjbBzd6lGPm05lEH0cCjZza fhGrKjHvYeal/x4Q2NJkfLLpQxW2vM1KVDMhcKXW2PrMFTVYo069d0aTQE2+ u7fd39bik+It32eECNxu189ufdWAE01GyeZ/2Wjg2j5590Mj5vDKrrvbzcZ/ bgrL5C80IWPK2dwqlI13DJKXHmY245CZipjVKzZq7FYJsM9owd060f1iF9nY wUpc0W3Xih7nqb2PBdj4ZCZer2BlO8m1spsyDBae2OwouquxHU3Xm31+W8zC eUpG9mf/Dqzzf6Zzw5KFm8ssaQriXSh0RZAnL5eJhxVGJQxEenGv9sVcOTcm GrUdPvqqpRfdK6oVzhszUcjF2cHYsw932/nd+cdhYAqmuiws9uPV1+5nsoUY OHbGupmfPohzq0e8HnTSUZnV8dlKYwgXfa+r/wmlo5l51Uu+z0M4IqdV5CNN x8vP7mU2alHwqXn4/QObaegQtmikEzCMXXLy+QO9Y/il1WTq9+gwrr8t6GEd NIav05wX8lWpaMg9q3x79Ri2aj2ucmqnIjHv4z06NoILj245fFoxilKvR+KP hY5g0LlH3tGGoygntOx5rMEIJua/X5YcMoqFRMl293QqOuJpxjeFMZR5a7dG xWoYE9KzpEYO05AqSImVkRzGznTt+6/saSgW6z6/r4qCWjbaS37/pGFL4l3Z hk0UPJl73OrdYToG3LuZeaVyCE33DYcEPadjV1fXS+nHQ6i/5km2UwYdV3Dp v9cvHMQjuol/WuQZSHF93Ya3BvHQ9hedKtcYGCWy47bN6kHk2VUmdzOIgWf+ Tb69kdiPazweSUpzMzHmfoMhV2EPauVNirdUMXFLWLCxN38PnhtVCDf8zUT3 DX7pay93Y4Psc1qWFAv7XkcUzEx14pKwafltj1kYR7sYb3WkExnZGcydQSxc ODh7f/p9B7b+rlkp8ouFKcc7zNRE29FhosT6JQ8bN9K8xNZeacNK0yHKlDwb XZmeJStjWvHbKPM/LV023j5y0TRYuQU1NG5zW7qxsSjiiIi6dTMq/PlgfSyO jbMuK67LZTbhgpd4ILOEjajwzY9xoBG39R56lzbLxtfZKXzxU/VoPOe8v4Gs C15Yt+vEkzocXo3X8xUIZHx5WZo/VYMbBxrFbTXIujNxmBe1rsY8ifSXCxcI pOdlij7kVOJeVfuEc/cJzLRdZ1FxvwIdRh70PyE5naFyjVpzrRTZt75eFSW5 fEQwpc+/pxj/U79z/nMKgatefv8Yeb4Irx289mn4F4GfL+5pXRqM6KI1E/yn hsDFJbT+924FKLN9rLepg8BrJ9KOTjzLxXWfDo89oRDYJlvLZ34zC9VLLp0Z YBJY03LgPPtsOvq+XJkvME2g64ir5i/1FJz4ea99BcmxcxeO/DdwNgFTBpaa V3BxUPkNw+rYtmjsk0Gx08s5mOPu4Ff9NwRplKm+QJLbrOQgytqjXlimfMU9 biUH/54s2zegfg9t/m1f+3oVB+eTNQ8e3OIExSW06+KkLSiS/83lTgC8wRAP O5KrfH+/xeNABHS/T/4SzcPBiRiJ/vcr42C93t9sX7JPdOzf5XZ5XxJ8c83k 1v6PQC4zlViH5FTI2eOdW/SHwH30MYZocQbwvPST5OYQuC5BaaK7NRueLyg5 rholMEzmcETsaB7oeSod6SH7FlN8P/3y35+gcCu/0Jrkbi1T1cLSuRB4p43t m0nubnlmEPVuZTHckGz//S+TQFmd1T+p3iWQsuJCDiuW5HzcsuMvN5TB8Xtw 5VsggWuj2ptVQ8pBzuiwj/JbktN1Jav5pSqhyUtpieP/3y+QcPoLO7IKDj1U ehRmTvbhbQLf3aNrQarp3XPYS+AD9t8Mxa31sCm8qrFMgtyfAr5dQV8boHqq O0SCm0B4fX51nV4TpHv2uBysZ6Pi6ed5K1Y1Q/Lo75/caWy8cJHbx6OiGQSt pCIi/cnxgzbT+kdawfB3tajZBTaCpO/17ulWeDzG+bd1PxsLVspXByW0ARfP dWbjejbWX3eZ8l3XAWI+S8W761n45FYqV1F5B1y+d2PZoQQWsnrjvvC86IRo uctGzi4svPLJ2/lndxfYDu2e6VBh4WUO7fKWD93QNNSrO7qahddvXGS9OdAD fpZfllMpTDwQd+3nJt9e+ON2ZFuGOxN36+ubCRwYAOEvFk7tjQy857Gu62v/ AMiH6+zzCmcgz9admxc1BmHNqVp1rYcM9HzUfO3VyCBsDG5anbqcgT+qT/2N 2EqB0fj131GBjusnL9/ItqZAjQl7NHiChm2EfI9YIQUsj6f0OmfTcOMrt/3Z JsOw+odn7/ujNNTT+b2V+w0VnkgIXA3SHsPrO6V1tldRIXUm/MYW3jEMZbwp cREYgUWtfU3VZaO4venW38bQEdh6pH3U9egoNvaqOTxJHIUdqyTTZxVHMPCy hOkcaxQC87vf1FGpSP+8v+Kr0hi4/Fjq2h5Kxc/2Lb4nv4/BYIq9qt9KKr6P EXmc8YUGPTZGKcv7KP9/T8/W/8hz+yY5bp8mLwrqz7aXnBOiwxuQvU7XoOBE 6ZyUtBMdNpyxyVkRPYT9iv5lKy4w4FeuXpfp1UF0m1Nf986VASpcm1K71wzi Gk+Naa48BghkO9fZPx1AzW0xc2NiTIiX4FN2ku3H5H1WkifrmGAbwRxf/bwH 44R74njnmGCpfdpfLb8bj7fJR7/dxgK7j+1Bh//rwvmPM+tz7FhgefFRW5V9 J7pHMn/diWHBlZy1++8VdGDxTL1WUy0LIrrUdeZn27Ex+cCfYhE2hJ64elHU ug3PaXyt1jnMhhdJG4bSv7fi1ENak4MZG9xVhBUtRlvQ75+wzVwYGyZs9n6U M27Gq09Td6oXsCGqPuuNrmcTPjJMs1DoYkPmcvvx2NJGfFdjtXXpWgJGhJPS Tc3rcdmzglOMbQR4Z+pxmstrcb44eusLIOD998qEZco1WHJ6OirJiICiL/I7 l/pXIdf7qbp39whIXSLV0jdTgQX9NlncrwlYlNnzL/5yOVYpdzvKeBPgHs5Y 9wJLscFR/upIBAHWx7hCzLaU4GUJ3k86KQQMOL9bf8+pCAX6ap+d/kUA19Cu TdfLEMWp7yzGqwmIfr3i+AeXAmx4s1i/t52At1OszseauSjxsvTAhkECYj+f 3H5kMRN9PXfs/UQj/V8/8XF9fhrGnb98JYtDgM/X4dZ9rGQUNNZ9ZPObAP9V rRcYV7+hlFPx5vpZAuw/Zbn5t0Zifvcd7fJ5Al5U/S2a9wzEjY75xZcWCPA4 GXG1ZswJ186sc/Yk7ROrn6/YrfYQ0sriXM3/I8cV2ckpxd6Qo+s6XPOPgKsC fP+4+8Jg81RkevsfAgS/j/L8fhkDHxLz5B0mCLAxdnK+xfMd1n61dCpjEMA+ GVWupZMK/Wf3CCRQCFgSsTTOwyMDfnUd363URcDqTNk3lIZseB2Wed6gnoA3 lpcXtgjlw7c9prMCxQQ4XkpslT33C/KCqpKsM8j7KRy2sKgqhMUCI4GnMQRw Tgh3WN8phru6yxpEAwg4OjWVmchTCkNl7+LMnQl49sPffj6qDLb+3X1b24qM /5X9mYZHK6D9yzSj5RIBvmEPOCE9lWDrd5SrV5mAmT32Uz/5a4EYPvX54gYC Ev55SFvH1kHp0UvLHebZ4DR5ZHOjWgOc+7BmbXkpG9Ql/r6M2NMEF/aq7mTE suG7rmbHp7kmKLYy2pb/ng2bjpyYx5Jm+Lv+06m7WmQ+W3VRX59thS3fPa5v SWWB7fM8LbzWASaKfExvdxasv//p0M0NndDEIyNFtWDBDM+lAbHqTgh71/31 8HoW8K+z1vVT7obPt2u2995kgtKq1eeWM3thX35Oc4AqE6Tjefde+dQH8tuV bI6uYMK7g1qT3pr9IPizYJVVLANcFIyfXQsYgBC/jbOP2umgrXvOa1F4CHSW uz0eDaeDh77Ehl23h4BPMrTB/A4dnI0NA9Oyh+C3m9+U6R8aMNlLl0VeoEDM 9ZJ55KHBoXHTmDr3YfBq035tXzkG6luLulQ7huHuun96+m5jsMlIpLRnCxWu /Ff7a++KMTB8vH1bWQYV3lxpVTaaG4GHWcv66htH4PMt3e3TmeSnUJBGtvAo uG4Ykcu3HIGQpdG8JRdHQX/Xz+21g1Sgx0orHRoYBYgxW3UydxiaR2UXzAfG 4I9OY4Ttw2HYvNPgnLgkDR7dk+Id3jwMFyWX9lIv0iDi9N2jLm8pYKAbKvWl kQYiD01a1E8MgVQS+/u1NDo8s5rZlj09CCeMXYIv0OjAL8o39/7rIIRpXRvV kWTAqpBt9BczA0BNs78n6cIA3iheZYMzA/C3b2nMXCYD7EykrrBj+0FV741m wygDjplcmf9ypg/Cfco3GmgxwZi5tAijeoF3y7/kv9ZMMPhgIF36uwdmm7ca eIaT3G3nGfMN7IY3tfu7Xv9mwl/R3tkVtR1wLT78DPizwPWm4rMO3g7o5apb uq+ABVFfRHM+a7aD8KL6sk4KC5yOFn6XzGwFnhtW83I72OCT4+wzwWqB2Kmi sHp9NmiJSof0ybSA0Jkvw5us2FB4que3tFcTvFpJ6uJkNvjm6NZ6ljRCutLX /OkaNiR+rP5qSTTAWCY3f9cYyenNgT/1z9cD/6c3gleWklyTXJNUl1MLhnuF fN9KEPDxrrrWokQNHD5fdP/UXgKu6J+9+8e+Chxu//zw4yQBaUsV5d8cKYdF X71gfWsCzm7nqzsUVgp73plkvHchQFToiADPXDE430+/dYmsY2F9h3V/jIsg 2WOUqIwmIF6xbpnaHQSV1N7ghjQCMgOkZaSlCuC9LLPyERLwU9RhrrQ1B5Yv 7RqLIblqTx0RPuWWCVdTR2yftBIgThfj7VFLA76s+uXdvQSsEsvo2z+QBInJ rfvahwnY3XmQdfNYHGz+jBl36CSn7gcFe8dGAOsc5YQPm+TM+4X4FUL+sMFc 8qfBOMmNiFevnpi8Aum2wdkoknspIi8IsaAXKJOqNP6RtMV/PN5bEemHY0cC o9aQ82d2ivFrPYpA8U51eRlyveI0YcXulXHo1tXxtZ7keuPTnA9GsUlo0xGj I0D680VMnbFvcxryCTy9QushwLPt5qDFg0zU3RiibtxC+r/RgN8/OwdNBiZO mlWRfaPw6WjIkgK8l9E89+8nAcn/SdKNdBHjegR6dqWS8eRb1VKnU4T75aYc Fr8SwBBWuxLFLMaAoR1+t/0IaP+pYhP0sRSHlrbX3XUioHmv9dRn5XLU8b0+ y0NyM3ostcG/vgJbL3zmwGUCSr90c9s+rMJTJW7BwtpkH/yvLUhhVQ1+3Ppm 2nUXAZ2xuw2KNevRZVM85/QiG8rqNGscehuQaFJvD6eyQf9BxI/reY34o//d H/9KNohnvdhkcKYZvw2pSd33ILnK/1uFR7wF7foIlv4DNhwRcIJeSgsm+f96 3a3Lhs/ca+wLH7ehfn2ZHIebDeNsF9sC1XacqhF1fNXPgqcZHey0+XbkCAbL ZGWzQDX48vX7zp3Yy5PwQv0WC95q7ncVdO7BNWLGq6vTmTCy89Xml2q9yNef 3z3gwoRAWb36r9O9+LOGaYPnmZCw14Nv/bV+FJnY8Zk6zoCA0yOnavwHMbR7 4OtyCQYMVrqtFGAN4ikO3fQbhQ4ZPtYHAzSHcPx9v9m2eDoEK+ZnnGUPoUTh hF3pHjowLjTFKhwcxr618w/KDtBgX5Lg3pUfhrFFofmR/98x+OyTmba6exhP O1dYGWWOgZ5QjeODZ1QUaXTYn0ueG4czB9VU40ZQSJwRdlloFD7P+S6vHx9B J//zWwSqRiD+1K3MBwdHccNU7dn61yPAr+/Nn1kxihamssPPxqiweG/9rHjn GHrHCe/rTxqGkzXSS4LFaBi0gwNaZsOgnVUWscKUhmVc1cbNq4ah/bCqeXwH Ddt3WYg8vEUBsWeSb7+X0XHlLu7GVUJDsN86P/7SAh0FlV9P8OUPwkq1JyIj KuS5Pesb5dSNQeCHBFH7SAY6NKXaGN0YgAQpmTDHe0xUl1p59K1HL2iGvAwp /MxEix7rxuCWHvh263ZTZQUTfQu545+J9UD846Le7ZtJnUGzEv8W2QWd+ZpN r3VZeHjtMZ3V1E64uPD9sL8NC3PaH46ZyHaCdTtVd7aIhZ40FaW66HagfXF3 0BpjIWYPVy8fbgMn8+mTp1ax0T/oVIXO5jaolIw0szdgo4KowzGBoBZQZrHi Yy3Z6N5vJxDb3AzZLYq+zp5sjI1ua7uzuhluZt7pM6xko1HuudNB9o1gr2Qh +XqIjQPPwn23vW2AU5emq5xn2Wg74v2MuaYeRkM2zV4XIPBloVDyh4BaKPBQ qRWXIzBbrD9u3cYaMHEeskw4ROAluaND/qQOrA+Q3yioT2DjuPvgRrlKmNH7 Gnf1MYFpvhPPX+0oA2fBmZ06bwjc/73ylGVyCegoqa1b5k2gyjj1QvTOYviZ kFbsF0bgsOk53e0phSB4fmv+n3gCTXT8csWu/oKw+GGXHaRu1X2oGJhvng91 N5vS9yGBgYNiP4wu50CY19Ux/koCpy/98V1+MRPsJYKr8xoI9Dgu00U7nwZ3 xDevP9BOYLnIBY1DEckwZ7vr3TtSN0u6H9rkGPAN4o7GETEDBAb91/6l3+0r ZLhwbQukELjdX+SY9FwQKGdeXG9MJcfHfiqeLnEDlzDrOBppj6sPD43/1YG/ 1KReXdK+7zy3XSX6HdZuEiywJ69/sVXp/uP7n1D6zvGLb8j1H7uJiYwVRWKM n0/L/9+nunDae41ZXRxOUihGc20Exv2eOTLQkYSjekUbrEn/v/99p/R5PBVL jA1N8ioIvKZY7vlxOgPvWRvdaf1F+kOoyf/4m42BnM0RhRkEKvKr3B6czcO7 jl8sHMj4zYVfK+ae+4mKx7TlBMn4+jo69tnbF2LOFalrtl4Eft61+Khtvgj9 96SG/nAk0PyBG+XFqxIs4Vnx4KcVgWuWT7lfni3FKvOEhxFXCGwT+VT+yLYc x2v9Tl3UI1C2Zux35GQF3nE6ZW8gS8ZXaBtrF60aS9I2mnuuJfDYMds4y2u1 uOK+okrsDBvX3TijEdBVh5pHki5bVLAxZmtAltKNRsy3+OK/OomN221OxFhK NmHW2SwfH5///85rh8GKjia0Fbsnu9+YjVPjCze36LTg+sSmeeMDbPxixvju t9iCajuGxC+JsvG4d8CNo1mteGKhVHZlGwt/3pWRU9rSjoG2+ok5qSx8ZLXk 5JW2dmxza/ym95GFMy82rUxx7cA1W/Zn7NJgoW5+xaQPqxODxDelvhFj4eKe ZlvhsC4U/8bgxnEmqUvDDENPd6Pzy/b/loUykRKWt/fztx4s2iBXzxphIN/2 3KqAc/24vDVULyOVgbqGwtf8+AbQ60fHf9p2DOziSTLf/msAf1vzJ/StYeBz 2rKVDj6DOPE7Fvhk6OiQtXBXheRuF7yceD5CwwZ1qTpZTQqqfNkZWxVLQw8h qNMMpKDvgZ5XYnI0XDo38n7q8DB28XlfKBMZw3kRrpOVdlR8x3tJ06tpFP8j 7DMyq6k4UmepbvhhFPc8kvqQJjKC2k06+o0zI5gbYfG1NnkEv76v6OYj512V uwJbyevM/s6xZl5Rke/P8bvK5LpCPrFr53dQ8cSmkjdKl8dwk/OajtMew/h7 r9DmBcoYTrluH359lII7NOk7A4ZpGNnu9/UJcwif/GYGTW6m4xMwFw8NGMJo XsfnSmZ0PG6v9ctrbBAjjB+27Gqmo/ltz/IbXoMY4Mq3enolA5Vz9sGL/YMY 8mFW5YMmAzXVO/ZMLBvA1GMbHsomM9Cm10S1Tb8fnxw6Hi1LYWCubvCXy5/6 0GUr1xbOeiYWcLgqbLf2YtFITmerLRMv7BiTLN3Zhd/yDvYlK7IwYsTnVrJl J8quPvWqwIiFwuNv2Q7JHahcOpns9Jq0lS5Fzcm3I9/kbv/dtSz8PjR8K9ui Db9PB1dtmGDhdOVBH/vwVmywvxmatJ6Nj5w98LRQC0p6q1XQyTyVET+Zclu3 GRVymiQ8nrEx97zzYMqbJhQ5MM/THcDG65nH31F7GtA36JumTT0bkwX7TGe1 6vHbcb+VBTQ2ll2465GeXIvTY0tMEpcQqFGtG3jNrgojxs5LvthJ1vmY4aba +Qo8fKKx4D9NAh+ISNRp25XjrqzM3LNGBIqfvlU0/K8UByw/mz25ReBFzXjp H89L8PdDwQULWwIz/jzenPu7CFetLpiXfktyt7J+QsC6ECV2nKhI8iVQPuFe vHvPT/SkWHUsCycwWLBZvL4pD0u/bUjflkBgzGRxDW9FNpYJ72IJk9yx4L5m apyfgcskOzc3FBA4c7nxYU9yKi5tMZgzLCX7xvSSezePJWFk9pI9kdUEZrVN Vf/dFoeS71ze55Kcs3PVeZK4KhKffQirDmkhcJ+zceWrvgA8Z6fZrk1ye2vi wMs0LWeUGQj2+dlBIMdNXzup0ALCx7jG50k787N3WmLMR3g+umRiOWmn9w8f Z60OAcMD5hGdrSTXVA9MEl+jYDxvxYanTQQaF7zo//QrHpIrZG17agkMyztt vbfrB5xI55tYRXL2cxRli+ZsGsw07y/hKSTQP2znK7nlWSDGe0mlNptAo+L0 TfICuXC25nTo5WQCeZ7ssZQXL4CbtbwXc6IITFpa2LVCBqGGO75z4BOBZWEv 7xsJF8HFi/f8Wz4QKKwl+OdZUDEsVIcJ+tsR2Kqr0d4rXgpt4t+GtjwkUE5F k7pLsgLmp/nn43QJLBJ6VrckrBL2nb8cE6lK4ECWukunRDUEaZ+/cl+GwArv W4cubaiDLZmZJ6z/snHnx6/H6T71sLwoYE/qABsHA7593szTCOMNc4kl5WyM ErBIdHvdBL/azE/cJjn7jNt0PvtgM+wYUHP594SNbR80kpSmm8ExVs/tJpnP r1+YM5putcI6eZGoCpKzEl4XE/dodkDfLFfaAMnR20sORjf+6YAEScMn5++w sOGy2Um7hE5I5nkZmkhy9XTZzJ1B/m74GcWjxTvBRL/wT9QP2A3H3EKm+clz k0eK8dptlj3w5pb2ncUQJlr2LaWJ1vSCp76RTaQmE18eeMy6+qwPbDmhPhfI +o4K9dZzkO4HEIp6M0dloBrtoOHWpwNgxFdiutGZgUUmZ2UTlw8BFmh3j6fR Ucul7YSK0RDk9R85Z2VPxwYHtpZI9BAEvVseNXuCjsrWGvPtQAHqmuuCe8hz Y23Kp8CpR8MgqLtlty1rDIerF8oYOcPwZbhYzvHHGIpruBRKL6XC0/8arGMe jyGKDQvp+lKhSNDw6ampUXyd2piqED8CC7rt9TqsEVzuyfexlzUCx18njlh9 G8Hzlv9xcneOgorO/GzFjRF8LLTrKDttFJr1VFzXdFJRJ+um3UTyGKTGS48c zR7Gl0seNOYxx0D3Ib+p4sNhtDy65X7oNhpIPLC4byo9jN8L1zwLD6XBr0mV nz4fKBi5LIC4/YoOv1gCQlmGQ8jaRjmalUKHhLicHRu4h5D3vU/VqhE6yHsd O9GcNohB/D4xpboMMJXdF3lPYBB9gm5v3WrHAMnfz/iD7QZwclXzLufvDLj1 +cq9nR396CEXlX5gJRPOXHUbprr2YUeXXJS7KhMKuh7FCA724le3YKGOG0wQ 850B+f29WPIxs/FMLhNsdAV+7hjoxp7Ym8FRxixYElhw4KRsJ6p9SV/vaccC 8Vr59pdPOrB5qrTNIoIFYccflFYXt6PTocctTVQWXGdyvxq83IZthTT7m8vZ UGj+qCb9Wyt5v9+6g1vZ8OjbRbvCqRbMTuYKe3eVDeulcm9Evm9Gqfpq6g87 NnQ9JMycG5vQ4FBHa/4nNhyPjIQ80SYUyk2Mf1bNBj3RUaG3+g2oyXoXJ0th g2v6+aZjPXXoR/Q6pM2wYUJR+BD1Vi3WDYrduylNgGRG5NWlr6owki8YN6oS MDJbyZs8XIGWqfFzr3QJuN35LOj0qXJ8K6F03InUoeV2l9THU0vxRcvVeuWH BGi1ye9IFCnBlABKv6MdAT9U6qK97IpwjVtu1bMPBIRwqQ9dKULsrDSbFPpE QGiPcImaawHWH8Gas6QufkL3/tqtl4tn6k517v1OQPhXXg1zoSz8Uzkdn5NB wCbvTQ9YbWn4vGgvZSCfnO91fObc7h/49zP/nvgiAqSKKqKfZX7DlePipuvL CbigoPDj44GvmNrkqLCF1Omhht40fPoJBYvnnRqqCWjYnGMxNOmC6auHDKVq CFDSXec8JWYB1rc3fBYgx6Oq1p+1WfQEKkXCIqqCAJOYc9IPX4WC6Xae5o4S Ajw/jLtR8qLBafVrgeRfBCS+og9tUE2E8Gu/LsvlEMCW/TO8rCsFPu3w4dZI IcBXvrEgRzgDJsROX1uIJSCB97qM09lsyNOuHTIPJUB46SFdNY88aDF7zHXD m4AFxQNWxWU/ofC3iM4qZwLmLolO/H1dCBNn150zeUJAZceJBQPxYjC+KVej a0GAwtSzDR0ZJXBC0e7usCEBXH5jsy/1yyDXIPyP9FFyvGq1zfaxcshYuvl0 8AYCBtovuJoJV0Nk3sbJlkUyf3g6p34l1EDrj7WaOWNsKNW9EUA5UgeooqP5 Np0NEebHTfx3N8Lg4ruTVmS+PTcsy/SbbYTqSL9vK1+yYeWV11aNhU3g82Oh 0PAwG1TWSYX2n26BycmlJ7nF2SC//KnNF8FWqPDlKr/zlwW/+uKePm9rhYUr z/tNklmQqz+gYmLaDvsURP/XcJ1GNXlnYQAHRBYHGEFxYZFFEQIqqWgVtd5h K5MpJQFaARGGzYogKFSCtBUwImCDotAWKJKCRVFIW3YzUfgHARuGEIiE0oQl IQnZ82ot6Awu6fv5nvvlOff8nnOpb2z0wDHf+st0rAh6xx39Li/qANxpzfkb xdBNa+HxenTgnLk2WTchhrGn4dKOWB0I3ZqN74fMgdSF+QXZWwdS7uepb1bn II1iH/2fFS0UtN34lto5D7Rh86ZX17UgHH9v/WknCTRGf8ecjNeCv1MXWcCT wG3jqkfRdi38q8jRR3VUCi/rEyySuzXw8YiqvtsghZnSjbyyETVMx+d+tC1Y BkPEfbZf0dVQQyG5dlbJ4MSx+M+KKGpYovPz6HMyyE4+UNM9o4KbZn+Orzsv h1ZK0xHPWSVwTM2VsnoFbNguTX5crwRyXmhY8qIC3rwUYbRYJdQIZ/bb+SxB pe1y3dnJJdgXFq583rUEjRs99gexFNA2smJfPqCEC56fFO45pwBShSDqqFEJ +SaXmqO8FZBifzrAHlRwkXDrz9AaOdwjhVqZPFKB3TZqEzFVBqP6Ol/Upgby 9wy+60YZhFuIz6xXqEFGDY6MG1mET/f112a6aCBCfK1k0GsRIoKi3hK/1sCu EBKroF8C8n/M08bw3PZMSN2mN0mgpGMymEDXgoM3p8CYswCPN1jWFj/UQr7k 0Lpp53nwHX55w26rDnqNlzOvnZuDTKbw+5APdXBm2bB29/AsuKekmmbm6cBp 6WTXkQwxJC5y3Ep/1QF9tB/YLBHsaPyh6vxzHXx2JdTkkJUIRKcyeeQtepCE K0oSWmaAE8+o5qTrgdleQ1ELhDDnWb2a+lwPhBgv00BnIe6FFfHSegOQf0+s H0qbgp2EzU7F/gZ4fXDNq9svBKBzMo12zDSAx2qrtUWgAGyjl5Parxig4evp RlQ0CfKWEYZLkwHcHnYm3l3PB4J9R2elwABUkvXxgjoepF9gMK6qDZA61Zbo 7zYGN0J8XiS+M0AhzcxivmUUinSSaasNGIi39KxeJ3Bh4eJ80dWdGOgarQ0x Pz0Bl5NPdksOYnCSmVJ7iDgCD/qFe6xxd+NPNT6K6hqC3oMLIovjGIw4X/e+ F/AY1tCPV89kYLA5j7vSXs6B1B31B94WYMAuijw/3tsPSynErLYruDt1eyLE x9lgvWu5bOEmBgXHdqha3/VBXqTuZR3uTlL0Ee6/m7vhSuGxQNEd3P2BhmK/ kA5Qp/YtMH7CIF30lnKaex9o5oKrmm4MWlty+CTrH4H9/95nLNy5Xxgtt2qr 62BsdXDG5hEGs8SwJ+u2l4E7tdl5qR93K2Sbraw4DaWHR7cG4U5upq4xVsqq EKVyR6EnPmd5+Vd05Taio7Xs5nI2Bsov2ngRF+6gOKNlaG4fvn86gtb2PhPd 4pO/leCOOhg01yYKO9HdcY/5p/cxOIz+3pk104PqDcfyP2rGe8lo42Syj4Uc Jm3+S8J7ZgMlKSyt6iEqzW6K59MxqAitGMjSDKAQcWuPqAjP5+7f7P/nPohq fXUXz5zDYOrURFUa7zFaSz2RWZ6MQfb92X45dRh9sGoX5EfG8xt/a5Xu/gSR k3bPxh3BnY2h6Sa4v6KyTc+22/tgIDy81+BwbhQFaSq3fOqAgU9pdR+PzUNn Gl7HlOI9bPqlp9gpiY+IBAGWy8Xvaaj6N8w4gTIIZ+efMQ0gJN3TZv0gQNQD NI/buXjv90emybKfIr9YfpwoygCjZidYnx+eQjfey269SzTAO9++RDQlRJom rt06rR5ss8venWRMo58d//jmx2E9DAY+cDXJ+A0l5Gy1FTfqIa/rA3P1qxnE pntneUXoIdiRVOo58DuK5KSHH/XQQ1aC3QrhsgiFVbiZvVnWwVfVXexC61n0 iFHMyqnTgdlqFneTxQKKn94VkTuhhTumAQldgwvI9UXD6PN6LZyNZbVNfilB wa43nXzStOAVHydi5UvRSoyJnPuHBgKjv7vUOruI2nO+8fEw0cArqv+4eYAM leS6GJgcNcivx7aXXJWhjI64bMsSNdzsOVgyFCBHwalxe/e/VsESJyGEVi5H dKaNwu6BCnqlH+4li+Vo7GNLv+FcFSw2WFN24v99mOU/U+L8VJDvW9u+5qIC nXjAxvhyJfwFFYe++w== "]]}}, GraphicsComplexBox[CompressedData[" 1:eJwUmnc8Vf8fx6ns0pbsUkRCyqjwpkQklSLRUGhIKglJX5FVUpKQzLKV7M3b 3uNOrjsPKiUpaZH0u7+//HMe7j3n836/Xs/nfZx1Z6/Yui0QEBC4Jyog8P+/ DQqhnw5XFoCx+ODLq0bjuOpi/xPySwr4+7eEH/3Kxc3iuaMLZynw4+jyJW4P s7A852uaSWUqOAy2cAx/kSD8tPFzb8tBDM+8bNDxjgSGn0+o19ePoIzwLb8X Pysxrk3lNO8oCyFz6T+VjxzU3THgdP3CAywbu/k7P3QUF0kEP/DvGISD7Ke+ a9qZeD5+Tq7nPAFeqw/vqJLPxF1iLZG0CDrkMBjb7XEAZE4y1twIzcY3geHx h7158HWwLbCjYwj3Ni9IO72dBt9nK8I+vyHw76GCvJPvK1HTKJ92hEnF4WHv V95b2Dglxmpq4taB27U23aPtBAbOKWpk2XMgKnRllNYaMq6RVy6OMSVARLLX anlBA5DiXy6lLemDDyPOC0zbObBB4HdwZ1YrJlgF6ybG8KBkp+elQFUeNmha fzXp7oCQlhw7YyUukn7cFXOW7UP9kEcbSoNaMVexZXHnHx7el7dr6yBIMGDZ Uymhy8GVE798VQ8QIOo+v+TdRANqTgpZsOQ48GC5rubvQf7z3HRsn39fNTwM krhm7EuAtO0e09IcCvrPjGupfWeB7+fO6/iaQMnsG/Ve4kXgi6scS/2G0HsM njf8oWNMPMMn93EG7n93XECOf7/b0+Wl9/sNwu+VXEsbBQYKlBblF1AIIJhc Q4NgTzRFyfCfagzYLeQbm3B+EGojRmOvmsXhotskr7peAl7ysteLtTLw04kk GG4cgBtSSiM7Kgn8pWlrVuj4Gmvk5Dj9bTT8Va+2bugGExnJVgtOtBTAwfdF J5aWE7j75ZSAaSwLVKu95u6YU/H+0Qurxx4QEObVbu23ohI0ay+3OKiQYbdb Dv31VzY46LRuyd/VggkCOhIB4gRkHl7dYE7mYM/br+/1VfpBwMsz0eoMD7uh bdku6ECtgblUo5ou9MwN2ObG46KDkE5qolUHLBa9ennpaR4ebD6fLh7Cg8yH Z8NbI9rR/qGg72gMF8KCDz7IWdYDptFP73x1boSWueP274EAi/M7i80tO2Fn jV52tN07/NKT5vxXkw5zLarrWt+T0KztccSXoQ6ApSVhq0Ma4bOTGRD2rdj7 OKzQ9DcVVn5Q0N7TRODZPztPXxStg3mNrcZ/A4ax4GI9RX0zFQOC9n3sUOpD 24T5POPkEWyYzZ4lW3fCdW3rDKO8YVxS8vf5lXAunDa6fKxidT/S6lMn/5E5 cPWgWRXVpw0kN5olrXRsgYNv7mjqP+FAxNaAn9EC/SgVvLhFYAMbvF/ZXDlq TKDLrrqn9gcQQnwqQhtpbMz7mSL1K5qC1zTVaF7SNfho7LZnzwcCq0Xv0u+s p8EKlyubplNZKLHt1ge7MgKsHkTvvVxfjLJm9seuLWNCxvEJRc1JGrilXZh3 MXoBu2RNJUReEPBKxt0scPUgajRxrMO3M8DvuM93kS4C96UzKUJC8ahlp/X5 rtIAXt6j2JHhNYSkfz2XC97lwe2+pk8r+dftMEo1tKUyIW+N5Jtd7jRkiliv 73xFQLvKBfm59cUwsfGM3Kt0KvwY2fRVwYoF0gsNzNaPVeGVqYazdQEErKNL CJ+JZePhC5ckqkrI8LWn+xLKELiw4t3FxeebMXamtlLbvg/Pth0PVBTnovr+ u0uvT7aBm+HP90szeHhyS9SbDd+54LhgvE7qXBfGvnTvjN/Jg1MSuqtaRDqB krBk3Ph7B1yN3BguaMQDuX1aWwNte9A7Um/uRTAXhoXvRhf85OGqe2Zre3+2 wOlHvzIGznOQV77a5NwxEs6K7FvpZ9OENc2zte+1CJzQB6sju8gQRX8rVvKO jbvcN3y3u0LAr5XPb4pV1eIigJfdySyoXNq0112PCusZg9uESAUQmrJi7RX+ udBHCzKXP6ej4glaWmXHEKyCpYbi3QTOidwa8jqQAuE6De4LdzMwvXHp8KqD g3iVe+4qTyoUqR/alhmSCVziOGVhOjkIjEtx9ZMZg8j7fW6JWj8Bi6P27TuT 9gRax9xeVxXR4ZpiwBCvbAiuVwU8c1jTCCO6Uq+8J8YQuQEvqH40KJvvvZ0p xMBTtfpGU7tIIFN7s9dlcx7wapddyC0qRHGVPWFtWlRYJuCjHinJwRNGZQ8Y kZ1w5dvpFO7NEfRRFVNYXdiJS7c4Tus9paPdh92fbsgOo0zpqgQ3qATeeE+1 3cQIzv/eULoynwXF1il/Sn3pKDBJTl+xkIDqwdGKb91FcGdtSvKLrST4SXk5 /7iKCY8jizQqWpvQUHppeo4HF5wXnmw+0M/B4IXM4fSmHpCotpodrOThp/uk g3uhEw8wJu1VdnVjO73/IrOYh4GfnRwdDHpgZ2eJ6VYTHlJYq0WSZnmwPm/U fpFGG+p8zS1b+p0D71TEGlKneyExjDG6PLsR2nIUNQtXEmD46m2CuiMZo1ft 8ut/wIYfH9235D4g0DqeqvrscjnseJPz7PlLJp6JkB1UyaThvsXO9zKNC1D+ jOEJ7xYCVaJtbKWsBsCvIOXvNZshJF8ZDV3cR4Ct8aPdNoJpmPPkejxnggHz yT4NDx4PQETp8hOe3idBsaJq801+Xutt0F1otZmBCWrWHoonBmHRmQ1PXPh5 tOBAt7WSSRbKz2w4p1xBQ1Gr2OduIUzMuCaoTNcphpY8baeDrwjc771beLiB BXF25kdrRKhY+OvnS59wAv66p58yFq4Cpb/bVRfXUuBIHeec91cWlDnLRNlU IDqy51bJO/C/J532ckSIg//q+20UBcnQdpdyX0iEwJjY1Sr9F1uwsnCFg05w Hwru76y9OMfBdQ3Mfz0PW+H6Pv3dr7k8tBKdaeulcOG74bahH7NdeOnXTy3t 5Tw4HuSWQyV3gubG78+O3GyF14tEju8d5oEHN2C4aDMJO1Vnbc8HciAsIKrX Qp/A/6T7G0e4jRBBk6bLO7Nx+EJdmtgKCqZLZbddi6tF49ybe6qv8HPCtcg3 2osCmnLr09nr2LhzflFodSIB7uxdDMnAMtxVVbr+QDsTfkNexsMTNBiObG4L EiNBiFkgterOCL7Z/cfKr4QGV+QfWpwPa8YTBysOLw6ph3ynd5cD+7pAd2N/ 95A6Gb/6uKZ46lJhu2uspLr2CLb/cHlzKTgCetvyeCplPHQO2mP9YZKBdoYn 31atb0CfN6FNGpdHseu834usdAowOA+ixRJ4WJ5Sm6CynoDAg5cqX7k2YcLM Q21lCyYY3RdTFPcgg46BufvFktcQs8QtZ+UWHvTGNR99LM7fG5z56l7IgC6D 2bwMBoGm5Ll/S1QjQVJiokeJwkCPlMCJQvIg+gVNLO+S9oXrQQnrZHYMY9ib t9+a9g2BXLgJSA4MoG1hTrpjDwGVu2tW3f2SDFect5tXL6RDQeWpK5e/DsEz YtvgnctFaKohrDQSQUC37+a1jY0s9EWfyv7/z41Q4c19lgT60YZ6o1gNaCaZ FbW0mYSv/Gcw3pyDeZNfG96WtkDBla7eeEkC8ZLjEtmDXEj6UnG773ovkldt fCZB58EJlv6T9K5W+HyyvV11sgsKtZrfxHRzYWnjxGxseicqFrgbruLPzaaJ V9GRhTwM/7LW6tHNNpDLUPuTGMBBIxXaHU8dEppYHbyVsroJXeuyYacugY/F 42JsuWR4K8jW/RDCRvUNnSppfgT8CfWZ7b9QgxNmc8VzO9hQML5auPMABdQ/ Gm4oyC+Hj3cO73z3hIAr5h4r5xhUnNrT7aq4iQUL4zedyagmsHTZiSddw/nQ rP68LjFhCNd6XdnGofFzT9fvOvllJi6S6ww8x99/jYgzwbHjAxB28PjDxhcM /j54re4kEyD3bEvAkt/BeDS+4WXZ2ADEvk+bCHjJALtFxerhqbl4h2WxxKie AJMy50W5ekz8arfhzu7VdLgZT2EkJhPoH0GzOztZioekvraKaVNxpR/lXVc6 C3fdyrE77l4BifcEtp6OJlD6wIOLyo5sMEwqOXRTloKlJzKkdU8ScM3l5avn Cgj7X5L3Ca/vh9O95spRFA7Ye1sFHlpSBdP+s4prFD7iEfNT4dWFVLCJsLgs EsJCvRn1ldV1ZJA+dUn4ylkveLhjmdzpyGiU8F9ALAcKrNaf0aIeZOLV49Y/ hpf2QalQ0P7tpSOo3ZqQ7CvfjMNB6jsOxTDwYrbmgQeyBE6ThydWT2aAuYPe 7TybUWy6FfQ7gTEEcxpKItO6DDyns2C3tzUB9dH/7lkmREH9w5CWUz8p0MPp VNHiMkBPolnJqrESuzMeJoSu5UHbZ8+w/O8sJE7oL5g4R4arxD5GpSOBSl/E 63wmm1A0wjd+EY2ELxLvVfBkuCj87dO3yOJWyC7XWdDHn+P9RP11ai8X6tuH 8z4d6MHbjwrPHr7Ag5HHsdyj19tBceJ16+3f7dDWduPgbQX+5xXJ1a891oOG ri907hty4W+Zz3+KqgQ2XOmuN5ZtgsNjAl1rQ9l4oiCn9eQXMmaldKoX7arD 0IhnCz75ESi/M5+tX0CFR3veuax3ZWG83ySlLJ0AcqPVE1vhMuwt7z+Vt5kF 23dmTW4kU2GRztHtiufywUzHe/vKCgJWft8s5HGPjgZKJW8YvUOg5pVuUd5P YFKZQeTD7nCwEsq55Lh9EPX8PT9+OMlAAxXfLXn0R6Bk+WoLlc8Pip+iN/+t HYJ63WW/rQr486v/3sOkkZ/7STy3i1o58O2mn3/sYzrkURLCXpCG4ME25sbT NcV4Rt6oIyKbgLTlCyM7FrNQk31W9fE8FXYwxk1vePNz+KGiXNNoDeZvDPj1 fS0Fj9zbPprgxMataobxvy/WwZXDjlHa7gReiHxRq+/AAXaAW1umDwm5rVFh p/h5WDmo5uEq1gy0ir9vw8R7wNxPgykWy4UrmSLWC9y78Enspli9r1w45uNZ K3+Ah4tOLVm1KasDlpQ9L8sX5uK638uT/x3rQ1jNUFyT1IJSuveERRYS+CNz MC6huQ9ub77/8t84B6sP1u2/v5uA0qo4x7s7GjHUzrEvdogNqXLDYUoH+HNe 77v+H6cH9JoWnTnwbRQ98/P/85Smw4mnr4XrMrqw+FP36yHLFhCwWqX39lwb aH6ts1840o0XJccthTqpcFKu/I9f7DDeuoR/l3sUAl4KUVuOBBrMOBdy1g+g udNqBqHXjkd7+kWmZEfxwM/zz+x8+uGnWZdXVi+BTQLlN2QieeDMLdKOJHfg xqaY3bd02TBhtuHUwYEeGEva+fvTlxoI/VAzHXOPC/slNWdvOVHQU+d7QkoU E1ZvjtBLfElgUOaDG77+RaA8lEH+8Z2JsnkNLeNWdPSSKvxHdOTiXBlrwFRt GM2KB2Su0wdgTm7gpPHJIXwhYVO/i05Ans3PBX1xcThvV3/sY/4gvFSeXOX6 eBD+OfNc44qiMUf7EvdGHgERipmZBx8PoUFNwAQvgQ5qN1lRBukECqW/Kj06 WIKzrlqpg/eoSCxQSbL9j4Uyiwu6dsXVwCaFvgLlEALN6p0qbpexIa7Aq3hX DhkjdpSWXzpNwERw1gmeIMKLb7HlohkkaLTnpnps50Cl9qqovLPN+K/9Xky2 FAHPCueiK224qHjFTWSZbC9IBcovK1nEQ03tOzph4l1oPf1j9PWRDozD/cws Zx4GcTTjFt/phcdBN1wVTbh4I7C27eYSvs9vKW/3U2lBv3Omm0y4HNDv3LB5 5mcftP2nEMYwboKiKo3CNdoEPP4r1rZViowd5x1Or5thA03nnyfFi7//vwyz ZtbUwm9BJsvkJQu7nT+uuaZJRSOO6oVLtAo8mbJJbd9DAm2/5mbxtGiwTa8w nzLOxMvKNXlufC/oMbDYtRDeYFzjCpkP54dgotEvSn3JABCXW1ZH87zhTGZY XCK/RyRum709IszAD/r7TnMjB0HD3XQkqodATZNf81x2Io5cPNR/j99LxRVq u8v4PeV1aE1nJpEB5E1s5wWtBBpZ555LtWSCyFVlrtQ8DbeKr7nH5p+jQeW+ 0p61xXBUegfjcD0Fjm8aD3L6wuI/J3V1D8dW0P1caHA49z3O3tlYtHyGBs5q y1r+3KThBtOeL0qfeuBX3VXxJZcq4YXapwOuCXVYrrN31riFCnrPHq5bcZPv 8ToKf3uOtkDNEtZy9+UjqFzWcvboUhK+l+Qn5DkKbpsudvo2NYwdkUXoS28C NW3mfPnpEZx9qtxP7OKAxojV9kUxFDTpuD9/Q5oHu0v1QkPjEJoFj/1beLcL cGg2vdGaDQtJ+4rPC3Tiv3SPsdtXOHBJz9w88ggPW2SJDO7xNtB6ZL+e5cFF mbAjPi/s+vFGwfLpu3da8JD53zde/HxOiTfK8NAnAzlmbJ1iAgc/lFAZqpcJ eBt9UGa4AFG3ZKrHU50NbkqMk0aSFDBxMViSaVsOM32FHjF8D8y4+JdeYUdD vL9VclUEE4Tvqh1UayawZ/b3vr1tacB1qNlseYeBVe1rJw9sGsSGHtMt45/d kWwf5p/A4/tlTxQ0vGaA1bLTAhozA0ixfxtF4Z/71ckfanmnYmH7XolNKucH QKzLdzph+RAMzO1f/z06Fz2Vnbf1VxEw9K/4YlQYE813FK1em0WDetPC922h BKZZeZ/VlalC81sJ0RtEKDjtViA8fZGNyS+cXTfINoBpcrxKrj2BsdcPdbrw OVzOdod62lYSvjkhFEzZSADR6NavwW4CGT8xg4Kz/bD38s686QYOqLjyvnrr tKHMD1fH+AYevPnv97vmPC46drMOpWR0w8Ikr8urR7hYqFI4JFvQhQ5CdxzX hXUgI3OVl/pRHrqF1X1dsbkHLMz6rOaiuCgoGjR5RIDvYY3dnmGtLbjJuePS 62AOHFK6IXJAlQS+1u66WfZ1YH/OKHqDOwFVFvudC2YpOGB06tKmNhZc7i9e vvUZgaFRtKbVHWXw4ccjY0MvJh6/7aT7oouGkGu7/drpN2glX+jRWkrgOqvy w3U2dLglEPvES5SJFsx17k2dBCSp5w2/zE/DgU9qtjJnGUB6K7vmq8YgBGV/ vWR3jQwpp48pKi8YxvFTLSIz/B6s9HYPmRKswuBLmcr7Ekvgs0/nvHt+H0j1 ZjbesKahXqH3v5XGFDjrfUSi6ckI6sXq6qxLyUTf5CMNupkcVJ6eT94fwcKf 71wf7ZgsQs/cHYvPRY/ieLZY3aQtHYzs6pzuHuRgpnyy8mm+px09aP5PvKoC z75QM3omwYDA6ieDF3RpcPVbcNV29Zvw6oxFdMwtHlw2n/zuFjaIC0Md77RG D4BjgOWSIjaBmVKLphY/yURFssbJhV4DeO5HrLGeIhN/+phejLvzBphiK7/Y SQ/jpb7IIcYNFvS9b+8KX07DLNW85yLPCfCeKmB9DCuFbur0V2tFCpDurfpx eBEbTK88lfO6W48XTdV8HhoRENB5VN0wjYOi7s/Xyx7uh4fzb5etDuOh2NJm 5YCkdlx1nJ39J7Mby/qv/f7cxkWbYAmCcrYbds9Pa0TRuWg6cFHNJYkHp4o+ P/E80I4KM14zf5K5kHj+dpASrxss/BoPl1m0wHWS/5cAIf6eZAept6X1Y8OO FNmgbA7ord/xcZzPg12ZtU+8NBCoF3q/pPC5WZQe0qukQ0W9/wz7C+wr0P7z msbQGAKX9pZGrumkgfhCIXqILxND6dfn+PwPxtTj37LvvMLEJxHyuYeZsK4l +v7naRo8GDX4PKeTDmfKJ/sKOgho2X32doP7AGpdW7FOYtUQhD6NFqfzucvk 7bRPWsEx1MngnNc7MIi5rzs6VpkxkKpUwZE+FgzNohStDP51D5d+o6DLEOR5 uX03XjWAPn+D9u9u4Z/3WTGN3L5MyJlQ9EjYQAPDifTC6ikmbCkavO7aWY1O LMeXebcIcDkHJUEqbAw5PiXT6U6B2P6AtGBjAtng1HHcuxGJ2vO+Hk4k3Per QTDejYPCIfok5uomiKnf3J+0jcBrvp8Nf67lQo0seXGmeB+ebpYz2NTHg/m/ Etf0P7XCQ+ljW9TOd8AdSVGHmOM8uGZmsmBmbynoX3wrvqbwI16pEg8p1KGC /9129UZDDr7Sej2d4EoBCvWZ827xWEwTShu66BMIOrpbTfMyycDTq9tYRuP7 QYz0jp8LSaBYvFvjHo7g2rcTkX+fIb7dsOFJwJ8h/Gbhf+fJWh5u+lVQJ06N hPt1R19mXBnFM39OfpkdZICfmkDAnZAhfGZVYM3j80OHpLDwpEMkej/ue2Bl TgPFDZ0yvAF+Xx7wPhVhXozFa/b8tjjMA0flWdmAD0wMmjz/RI9OAYsxy4rg +wQqn5SW1HBHzBellTSdpODPmVTNIE0OKnUd5Nw61gTUlSLzWvw+l7x/3dxO lgtnB/2Gt1n0o9Ru65Rofn5dCupFZekWOCR9WyFbohteyXYeCQjgQmXQWvkN op04v+lOrvQ0F7T/GC1XbeNhYZPIlsW3WuFU9GXVUicOklecF42+S0LrMivr Y1JNmPWZcs7ClMBw87ZQc763WnbvOhhox8Y497fvrgQQsIz14+cBvxpkON1P PaDJhpKSA9sUnShw5bPdFnGLUmjskmk5kETAnYvq8e5KNCxyS0nijDNBMFzg aArfW794d+8VlMiAmXfN9Bm+N8jZ7Y0b3zaIhz4/359oeg81u2ct/qPw+WXj g5TzLxggfSU0IOLzAC5LPPhCuJ+AGPmSKGGbOKi4WNs9+m4A7tUVibIyGJAg 1nxt7kgOJvV16vYhASShw7sPfxtCq9Apg7nzdGhaEFiR/JxA+tYn+ocOlmGy jMQiax8qrjKdqpK8xkIHQZFYGc9yaHLfZrUsjsD/tG7WawSywbHctUbnLRmr 6QPvXvD9dnBsWYIk328Hzr+yj9Prh7aRvucDPRyYci38K+DYjmV5lZVmD3hA JCSRLBK5yDAvf27ztRs+fciReVPHxUc76kn6R7tRsi3tM624HR11mpaaBvAw LThTn4juhhfN5t4f33Bx2OnYSlMRAlozBIxvnm/B0ZE9gSWNHD6npfyLPNMP h4IX0XcpdsP1x12/uzLfouTN/cPnt9BBq7bvy0uDPlwutDj2QnobfBm8pPJl YQtATtDKweQOJMxt12h/pkKLcEGJkM4wpq7bIsGjl4P4C7WnEsrDWDvnHivy iobXerTUrYu7UHsyIXvnyAgqyBtM7PLoger5U1fKTIZx0uJTp/sKfl56Bsnc n+nG6pKFZSDJgXrvI9+1izrhZ41AqqpWIwhOUG7FSnOhWDzS4ts3EmYr2yh/ OsOCpuIVdl99CJTzffBoyLMS5oUU68I/s/DC/eHvY9NU3Lpnp7y1UCmuLfpO l1w6jCdFdONv3eX3Z0zagwfhTPw89KT7eBcBbdG2g+Cegw1PK6WkxxiQqBO0 mW0xAHmClPzO/rvgakisiMwnICp3u5XDCQZ+Y2a/0v0yAP5pseXRNQTev7R/ sXZ6LmpYjgelsWjY07dGP+UOEzPSi4t/RJaC2JT2AYXXfJ8eUg9R62WBw9rF 5duWUnEg+46BdCT//wZvzJ14Vgn/EszO26lR4N226/vOWLJB3/O7vYp2A7ZN l0+32hCwqqv4rU0ABwv9pw0iVEjAyHztZpHDwwdyWaZ9DW14Iat7jf3Jboy7 mWVNqefiWWUSKc+kCxgl6wYM/nLR3YHzPvAxD8IP7JlN5PeTaZ6EaPpTLoT7 b1EmifRAwtNfO/XTW6G8n2k2OsSDuTPPIxUt+7Elp+afdDsHXooJtP02JNBu hrKuKbwRbDnPlz19yEayqvjiBx1ktFPkpH0wrUflLWF317gS+CYuxe9gLQW6 /nZ37v3Gwm21S5rvxRNg7pbB3LytHDc9kX//7AETOtKnSk7m0mBki2LDeE0a NB5Lj/fhc80VxaeLywYHUGKelM4rYgDqLRxi/L+fCib3+Dx0gg4PydtPVwyi 88oep+xbDLxgSTGzhEeQ+9uYp00iMIIas3NkwxB4DeWu8zk+gFUoSdvRRACt mm60SiwbfPooyRygwWnLJC8hDhOGT+rbze9uhgsK5KZFB8bwXfJWAdkmGkxs fzugajqApDXnr11s4nNSTLeXN70Y/Fa+HI2Qq0B6kPBpRigVvHV8JsUOcjFN 5Z+ZklA7eGx0uG65fwT7vfu5cp978NwH1ue4hTQ8+aV+SODBMK76eVa2awGC tddqxZ35I7iN+2nnt1ts2GD5QeiaGA0fXJebjkjkgYa286bjdZXwzcn6q8Lt Xtix93Oq/wMWvGHt0j71sRVn22+4CfzmgMeN2kuhSVzcXUne1ZjQCS4tP0Qe yfGwRO65cY1tD1opd45Zv2/HhNKxjjxNfj65algknOqHLaN1s74+XHziU5Gq tJOAnA7RbYoizTjI3juQspYDeesfH1p8nwRiId5yIUO1sL9wS2mrOQGLryj5 cLgUfNhr/vJVLAseLudE0PlzvnWo7+JOdgGYvm3KJz0bwn2nKmMuf6ajbdYb juRMKi7dsdhFjkGg42TMNYe7g7AzXz/BYzMDC7U2bxLh+zz79tJTGQd8Mdpv QbFH8SCsuPSGuow5CJ2sy59ZrxIwVsuovI3PL3HGqtpaZ4cwaVPSjc1iA9Cg syTxWy6B0S7xP+8oF6OEnmfJcjcqrtGlzz0OZGG18LGGOqMqiI1Zmn8jnMB3 DcviV+WyYcy/YrnmCzIOp1PXPHYiQMCmyLD5AkLPG6/iXkMyMGKXMKZG2LD4 Vaj+58XNGKnw69KWdQQU3jILUBnlYCI7Lj6Z2weaHsscJIN5KHpMUvLKk3ac +HDXPfJBN5oXik6nFvE9Q1SHQn/XARR276I7pjw8ezd0Sfh1HqSosVWzxtrR /j8RVUk7Lvi4dt8elukFs5iUvRXSTbBO7+wX2W0EtOu5yD5NIOOKoP82x+Sz oX+D51ltTwJtemfLnHpr4eX55sp2fg95h6iduuJNxVi54MRetXK8L9e1b288 gcJie9Vqx6jwetucS58CC3essja+UkGAbfCuKhXua9xHaQxLTBkC1uguUY1e ft8ZnRscbyaBtatJ6remYQx8+vT6Dhca1CwX8Db9hyjgU5okqVYFDoEzcXv7 e+BgPaXVCyn40eSapVwbBcLyDRpFL45g2K9jCrefPsRn2R+z8su4aKIj/c9u NxMVJEmlLvJVuCM04cT9kFGERG+pE4I0OJVy6o9sABc7SVMaa3cTIJWss9LE vB7hza+sNzpDkDYkPa3JoIC0hXGfqXcaHM/JvbDgNA8EboUwDxwcwHryjNLj nEEQd0gWbSUIFAw1ZYo/isKEIGawc+4gCv+YXDT/j4HRwS6RfQbpsFiibbBT cxh5IyY6AReY4Pl+uG/en4679lqW1VcSMJDQIXx88SsQt2Usi06ggumF0p2b FrEgevbU4cl/FRj7+WLVuQsELDx14VxMDRttGn/1ye8gwyw11YspQaDxfZ6E 1J4WJGmTH0ek9qF715af/5ZysX1a/ubjVR3wnNdjXhXCw8RHETb+/7hQfsTr GftCF+qXqy1asIcHSffid/uyOyDfb7PQqZft8N/3FYnhPjywOT6uviavByWz Hpc0u3EBSfjEX5HvxW+fdbAlm2FjhM59nWdsNM3krQitJONyxQaxtV11uMzL ++TYBQLFpQKfZztS4c/Pc++k+D63fnYAaSkEZB5b0LGKVYrBAfbPJGxY4Jz6 KKctiwrOjbTjRw69gRCBkmyjUgKsrv/t8dhEx32iThu1VZiQ7jmmdryHQIGH f44Zaj6HGI0mtUx/BkZwUyabVw6ifOciCZOVj7Fx8rjxdn4+fxRLvMnUYsAe xlzeB5dBZD35NGlGIkD84yeFNVKPYYVxzWrJh3SIVEunSdOGYD1V9XsMtQTT Dyub014QMObnefy7HgulVpz7LtPG5/gdZ8n/rvP9yfzbp7wfNbhWSl72UDcZ 7cd3XMt8wEbpjKBH0rQ6+Cm29/jcOQL/Wnf3+ppxQOfecdsDcSQ0l1XauVGV gD637NIVzU2wdPXPHY793bDV2+H9h3QuHCAMNmUW1sFxB5OgkPAP6KCnvTVG ngajb6K8etqGsN13/7VbQmQosNJzya9LAp3Pv4PDqzKwVNCiI7OJz+vvPKwE qlj4zLSqqe5dN9jI9k98ThrBuSXG7KXubfg4t3L2jswg6r8+Pn4/jcDKge8h La5FEB14rJC1fhTfmp5N7O5kgkrEf2vl2QNo3rBc5O4WAkIehR//EJUJ2nO2 mexnZJDN3BGdxH9eG6S+hX3RRFxZoOhh1MvnJ4eAiYAJNp5YYGmqSO+HC84d mdlKfH4hFIP15dswRakuKTSgD820tykQU1yU9DxWZDLfAavn/t6u+c7DZM/I 2KLLPIiXOXjS2KwTl4cW9a6v4oJj5wZib10XrNXaI28z0AKi1gpjY694MBDf sfjw437c8N79XNIVDojcrPtYdppAM24uLe9EHXQztnV+TGLhkdfN2TqHqOjV dLUoRLccUy/ICL/JIFDd6KpaywI6lH/hZEWfYeJoPrfycy0BjOhb7Nilr/GH oCTlyWom6O+tWfjNgA7fD3l8vOOYBP19LVMB7QQcVLwkWjHC720n600zyQy4 n9XQ/aePQE7YZNEv22is1LCMDpqjY8IzxY5ZvyGMN6yPD9PNgjBz9yNrWwk0 2BupZdfOhKvnzcrcztDQTJO60iWXAItbd2sSYoshwf3u0T9baPBxa32XLN9P 7ILeBG02rcLEBQ4t30IIUFg+3/poJRsF9pt/iQ+jwFYxoyXDu/ne/lRxynxb I25N4LxILibhBqlqm7HtHNy/qS7bZVMTCO3f6vFIh8C3WsfvvlPgQpLzgFzg 317M6DHeFV3OA89I73nqjTZoaWv5XdrVAV/867aV7eWBSnnjoaaLvejS/GFS 0ZQLjJvtPsc+8rDhRJe/jlUr7JlaKJTK99zHt9Y8tsggYYzXr7Of/BpxvGzn jr1875Zpv1W24ysJDMcy6aRlHBz2fm5Zc52A5rMWmysFa/F0qcGQPosFmSX2 UcpsCjz1T/Wkh/RB73L3il27RlHkzSsu7QsN2lcEvTi/sh2HPwycMqU1guvs aqcl+R3gkqx20EmpH5f6jkk2RlJh+9vrt00+DmNArYApOeMlXPthYu11mMBP d+JrOx8O4poJ3+/vCptxz4NtdEurUZzkhC/I2E6Gt55OK47wrztyY6GMxhQP 3IMDi0+ntuIz+YyfpvtYkNJdKSXwth/uql42E7tcBrZ/f95nvuNCqk+18nwl Fc0rz7xJzh4Czfb9e3T5PvnN45JH/3gG3HT4MBH7aQjP2sRZSD8dQJthi3su E3F4Un9+72H9YTQ78Uft1hoGKKVUbe1Yx8DzUe9Okvi8kvBTPuTJ7cvgfntd Fen0ADzYpcgkOhlA1H7gPEzLxCkX1cef+LmaftbwweUSJlrEWhGeOjSorlfJ XHuLQPwaNhhIqkYl1ZhuEQ0KSrqp0jUusXFsw0Kf3eaN4OO+vcXkIIEPx76v yorkQK6z2R41PRKKHdm7mqNGgLuc29qb+U3guMzBrn9jH7yztVtaIM6FF64r 5Nbda0MNP79hiVwekAe3/fsrzsMTOoFyHdRO6F16/7TVfi7Ge/DOTZv2opVu rf/6Xa3429S/2voLDxvJ10vW2JGgT0+CrHGZgyfI6zcr7yNAcXh8X/W3Bgy1 idd+u4oDtmMKUXUfSUA9FiyjkloHxxps3LrPE7Are7DX8jYFj+UZZ1uu5fuM 5VBXYxKBcRbNq1YsLoPkBV+rnbOYeFDdc59aBA3z4/9mejoU4d71h0nnCwis cgo9+TmWDtMPZn786x/CAqXQdAqf+6Itv2zZtOgFOkgbB77QZsCWmQPvWM6D IP3MalOZRDx+PGeYxOglYE+wnbe+yhD6Bh8v8zg2ACZZChs38n3tqLPReOqb fJRcfVOxlv+5wTcCfidnMtFQRiHC61shaK27HVz1hkCdy5MrXzixwMQl+lXT Eyo2dinGqtwjINnH+B/lZSVoBkZcs9YkQ7v8OkuFCTZcF0rc5S1Ph/PCBfsn CinYpW5/sO5bF2QWpyTGU+rglvPfLqFlTSh9krYicJwKH54f6ErdS+DI3MuY 5f81Au3BhkORPcP49tFfoV3pZHx04pfrPL/UDX/F0tccGMHIqt1GX9a2wW3W 28k5sRE8mmdx7dY4B7Q2+4/prSDjZqcJi613uPDkZfG4u1ozBFGshEp92uH3 kNga6gwbMrrOi/WI9uD3PT1fT1DZ8KU3s6RtmofaamVeTqLNUHVesEo6j3/O O9yH5teT8Y3KQzn7xY0oM7W4/+H/36/8WvTkdgkFVFrj4ioy2Tj85utPiOP7 65iecq5RFfr/yBxSVGVBQBryrPg+NPQ6zsrq1hso/K4QsvAhASu4Qbde1NFx +9KQkK7zQ6ATuc4/ls8Lr5KPHGqQuQGxFja8jGOD+Gjtv1WzRxmYEVBImodn sPN3w7FxJoGhbv8dTe8YAuKmUV1gJR0Dmiv+uP7/98Zahds802yQfsj9NynB 93vGMB30mXCpbk0T62QJPlUPnPFKI+A/AxP5R/EsnNVytv26jQrHd1UECtgT eOfwS6fjfJ51cF4jtT2FhFNjn6h/dnPw3Gtpob7IZhhxP1EpL0PgGM0pZPce LgzkM0vHLveic/SXk+U9PHD5b+xK4u9WGLR4uvGObg94fZx6xbzHBcuIyv79 Vp2YuEf3JmzmQZtDkq/yCR62ugweiLHvAO109ZvBmlzc+ShKnVnRizq9KwzI V1tR4W9r6OtRHib1TdOlTvRD1/xr27stHDyo8OzRO0MCNoYU1ATHNaLm7/2/ ShLZMHSvV9ihjD+HTscMdM+XQ/yl046pT/kcdcNj57rDNAzvCRIq7mfC3vJl xiqVBFppRXgtP/ca/nSJ/5Dh+5P2giMx3SsHcJ9p0B5Zhxd45fBTUdkOfi7R rKKeZA3A067gk494DNxzzO1GPpmAtFgjfRufW1hVcTenb8Ug6Ef+qhr0Z0BO 3tBu9+UUUOg/Y3+L3yeu9qTy+DAqXNCUPpwjXYw3FCZjj5flQ4yUYW+4Nglq nqXa2ZLoWGt6X68/mQx7/zVP2RSOoItk3LZrnCKsc59SyQphY7/8WnHFBjY2 6eaeUrmZiRXc229bokfxY0rveNTTAZA+0bR9YgWfu0cbdb+5EnBx1ckvJzcW YUzSopYSygCctj2k3BZMh9rQ0tdlZ2LRP6oWi4N5sP6Tp9+6Nwx0jQht77xI B4XvyVtc+fO4w5Mb3sIuQsH3s3LVGnRUDOrpjtFkYZjijIosoxyaNrzbTfrB f47b7oHcVTbUxgc3PE2koGuNr785vy/NtCptts5WQ4F4psDiZyTo50TsM/7/ +8YK778K+jchZan9mgBRAiYECwWlr3DRgkymZUn3wPUkJ80NXC5KVelvOPuu C5lHd1q6Pe/A1wvH1/1152Hui9l2k+Q+eLK0bE5pGRdPn/H2rV5BAKnntKqP cgsGH+AL9XsONHxzonBIfWC5/1zNHU4DhFRP12mb8b3W4FvmB1MyLgs/2tIz wIYCXaUVrvcJfM8k3Tq2oRL8xlt2hsYx8e6eaTHtFBralGtt/0QrxGLv4fAv RQS6i9Ypvdw0ALIrl87+PTKETw3aR753E6BRla3j75WCRy/cpnjuHYLpbRni PtsHwHlpj1X6fj9wr9oXrcGfmxfVWz21Ugex4cn7lU7fBkF15RGWfDeBUkUL khcrp2D90/vDi5YPoNu+8SUibkN4n/z8hldxOgSaXz/7gz+Pfd77fH1C+XMc OSPYVErDtOt/ZdtfE9DW8J/l8eAi2G902+PQKwq0HF59wP8PC1y3aMsoDTRg /afvyVR+bzVGNa3tWsTB67ttbdQXkeHvaPnhnFkehnFu7bUebsGjblfO+TX1 4uauG/OiGlzMSIndl6nXCm9OuZK7Jnh45dety3NDXNiX++PQbmoXavh4Oxrv 5EFs3/68aqFOGNheo7JuogVuVxS0iM7wIEw1irqPXgT3LqwxPP7rI7LEvOft P1OgWeLBkOEaLvrfLND4r4gCW4RCXu3Yk4ZHD/+nlM95AhrPJt4KHybDub4o y7llDFyh9knYwI8EPz7eSslrGMGdWlOTFvtqUW4vY92OPCa6/7zT/eYuF5VE 9C0xSAljo3YWiQaMosbB+rwltgz4uSZn/KgqE0+oKMyZuREw91iq5fC35+h5 t3PU/CMNGhRE36w+MAjBu5EsIFGAAn577d3cePB+vfP6RU5MTNNx767n7/H6 8NKA0BQCjXzzrJXVa3HdcGFAszwV7fOW5YcWsrGSVv5vPKMBqvs0v2m84s8L fZK1q4YDRW6pJrGnSGgpLEu6s57Pxacbk/tdm8Cn9OaZPw97YJHZrKzJBi64 frPekHy8HQv2T1a38HlWR2I8MPUmD83JR6+abmyHEJHLb/c0cDDg4tTTnCf9 aCC7Pq2/txmd7Cz9JNYR2Ohc3+eeQIaP7UqLI9rZKKptsV7iHAHmc4ecnfLr MfWiRbNSDhsebqO8k39OhqNHY9/GPqiA7pK3OyQjCbgrqjtrd46K+Tmpv0S8 WBCkZSmWXU2gqquoqOOKfGgp/XjJ+DMD7x5ZK/jo2QAe2s8SDHibiEULI6pt +F5BngvbZrSUAalBsRqt4YNo6S7CUaAQkJPrcHdTYDCc7Nf/sPD+ILz5rjrj JMqA29FhJ/xq0/HTxqPflvG5xta6127m5BCucLOenJQagH2lq+8Y5xNIidKU a/xXhIVQHbpaiYYbriTa3/nBxPrvV8voH4thu5pgalQ2gbQ/zdEfJNhQwah2 6oujoAfdbbTNh3//lybv9STWwHiSYNfusyRwDnvbfOwMBxQE3rOCelpRS/oF T5LKgy2Ljp26a8DFU7YLlL9G9cKWlI2kyeU81LnYuLOhuxNZrwRPfjPoxJZn k8Pa2jxcNuyzRPxrJ/Td9x4y5HNlyNCEal03D1JetNhQZ1qx9lr88e1buHAi hCX6u6YXSoQju2X1u8BKNUNcdf4tHnpwtTNRmw45epsORwiScPPu/zYkNLZD x37vF4HtTfCx9UJL2GwbjtPuDTB+UGE5p/V6+x8CX3Q+uxj6swoGZ57X7j88 jH454ZTuCSqes9pubXOpB0n61zjKjSP47OF02EpeF0TNj4cW+PA9Q2fUf2s/ F2w4sia693rxUOewTacXBzx7p3eHS3XAXUOTIvO2JtDNX6/lweBA8aKXnyk7 Scj4ETZj1sqCG9aldIUT/LzaKayxabgGLMgtWx1c2Oh126uPu4eKJWvfvfwY XYGzv49Ze/4lcDgnfLqPRoMdPz96i0qxMDby+1rZRgLYgSO7n/wowHHB/vkl /w2B9mpO0p8kOmz6+IC2ZVs88AK+y8vkEBBb8i1QumYQqxwEHi6J5c+NiHGJ Jd9XPr4N0XZ+8gLlmt721QbS8cSr8r60P0MY1rRL74tAEXw+mhkuW8fnXPHS fBdbFohXjU7trqfiIpeJiq3J/N45NPd3tXMZzPCsnm8do0BW+u9eox4WUP42 Nv3ZWIcCEnr3Rfn87hj3xX9enIO06aJ9ryf5fH9Rqa1siocBEXcOdKxuxbTy qfw/rB5cvUbhWP85Lqbd8N/Q/KwDsh+LG10/wsN6nXuG+/l7nHZTpb+P1YHP LaaSro5z4U7s9V1d97pAacz+V491O1g12auZPOTB/iT1K4qkXnRjsO5vV+VC r70OM0WeQPkOiywR02aYeUFxvvOXjYXj8+dtl5PxnMUX3b+VDRhtvanfaD+B BWHBbI+/ZHj+ZEt8mCcbb/qcU67ie7hz1YGo1X5VuPqPhlfRGhbU+Gn4Vk1R QbdLpmF5Rzb0vc0t+dxAQIFbcKD0rgEsOByabQhDYGJCv/m9n8Ba4WMhKYui oamUrbbl1SAunh/03j02iHeKnRJcbF1BR9/j6h8ygZvCZrobIhlgFCnvZCw4 iOe1wzb96yRA0Cib++FyGnw2vHiCNkuDEx9LlP7tZ8Ks5S7hTK0muEznTJon j2HtChNSbSoNjPReqXcoD2I//DTwSO+H8XWSPvo/3kDar97e3LclyAdyxZqT VMjtySoLLuLg7Hsb69EDHWC7o2ZCwHUEt348bkkc7MYAMdJDXi8Nz5yXPidh N4wNKYstTTJqwGBP3/s1vSP4rz15Q8JqNjzWbZdtbqTh9n2Cxur8HEhPEl7p YlEGbQKcuz3f+uC1naTe4Y0sOOvxcfG8QwvKz1w7Rd3OBcHNthZZ/LyoE7EZ 8dXuhr/dwVkql3n4tJlu+a2rC2OjrXYKPOnEPieqra8QgXleqx6u7uuF/Ibt 9lMcLlIbX26dlCPgYMxnSbHnLZiZedXc7x4H1nlu/lcd1g9POEfktkg0wOY5 tUfBmgSsm+MWaylQ0LHIU+7kSjbYdrpdruL3UXvQd/XnX4rhMXiUVCgxkaEt vPH/7w/6Z24KzVXMxv8+FPX38s8xNPDjbNiHAajZGXBopJ6BD8UClvTz87kI Nms5TcTgZUqhWt9hBmzcPjLN0x8Ev/5czyeDYdjNPZYV0UPA45tTCgKdDNxM 86uvKh2A5fLWnhkVBLbJW5RuNH+NooVHA14upWGEb9+FxYtYWH3QvNGsugz+ 25U75vKcwFMrphI09fnc9fHcp7P2FCx3HV7Y6EWAheAAJX1HLbjt+XVJaJ4M KqM2aQYebHil1s96caMRbZ5eFXxvxM8Dms2Yli8HrwoH3H6zgwQaku286C4e WtFSe08ItCG+SpR6KtaLhb8fPDl6nIsyHGlhV8N2EHKsDB2L4WGMf9Bw3EYe PA3nnre43okPd0lafy3jgluLegLh1w3jK7tftHY1w/ZvYw/3rySAY1nyw3OU hIOegeSKNRwYc+gu1j1K4OSXBZlGGxrA5WXMJeVPLPxeNutV1kLBttzMQvGz VSjuFb4KQwis5rg8Z2lSgSlEju9+wUK5srG603kE9E/foPsbFGP/IbG827pM 6JOJPfhBig70NSm0QxdI8O3cryc7149gzYUuucEoGlRFx/orNDWi3iURPx1O Dci4Kh44Ru2GkWf2awR/kjExwSJ0VIAKQq81l5+0GcFNSV1Sji7HcNv3ji1x +jyMPDBtuidxCPNWuXATimuxNElSwdp/FD91iJ0wOMLfI+mqMJ3FPHxH+bDc bhsBLdvddma2NGBzmESUFQ7Bf2xR/3FlCsTGjL5zlMoGF7mM1rJ9fH9YdOJB QgEdBzg7XSI0GaD612Z0B5dAEzI9xU9kD4acMDZIBQaW/ncp8LU7A+ezbGXl FWIh6/dO8NUdxrZ7MxZc5hAs8TW3Pas+gJqvYvpIzQR4l02+mb6bCT4j6t4z B2nQv6JZpTiACQfSL+4+UlmKXqe3J0/dJKB6Eq3MTPmck/2JljnH557E/YcX ahCoee7i+m/RTcjN2uWVI07Ci0sfN8e+5uDiGxabG8+1gY6m4CoKlYeBjZ1X SnK50HfKeXPI1278lyPVdJmfw+zXab12du0wF7d0ZsH+TkjfoGRFU+bBy3sa +tOq3fjGMzOOXMeFnWW31fP5/Bzitr5Urq0Frob3it1YwsHfvC0Ov36SkPiw 6GnCfw04+iF6/aFDBPo5zLSqpVDAPue76yIxNiZnmYBQFL+PyCUbaMqVWLQi +ZNsGwtyQ6x0y/9QQO/y7aupm0sgJMJT6kEmAfFTh09ZBdPw6TQ7Uj+XCYv/ NsgLt/Lvt/pVm0N9BuRm/QpMlBjC96mrmqR8BjCGHWhep5WCy2iNAbF8zzA1 M0458mgQQN6WfkuIgbPJP+Ps+ftf+VXkfY+7JyBdw33ccADcXfzIMsZDILN/ 1WPZI4XoPzV9X7CYgL85B6c4lUy0y3YbML1CA//n3jnWfH/qEghwMfGuxBYn NSGlQAqmKh0ZvrSWjZEd70iG6dVwsFbOYjKAQJeIlV0cMhvm6OEXPB3JWJUW qXxlDwGeF9dBiHojpDXszoq81QvWUwGjm4y4YKqu9OqZSw18ULvpcor6AZNf nX9n+5EKN+NPNX/NZGLvIW/fVhcy/BRdVoQ10eDQQtns9zUJJe5FvU+7SwH5 qxuaWoRZGEHWMp8U6IUb2bYrluSNoIORee+llhY8PNrurc4YRHpByCrL0wRG QciDZUQ+aJ9oosruHEXb0535qkeYsMB/ttbt/iCWvqt672FMwPe/y6ims0nw dVtOygtLCgQ2NURFOg1BoAdjgeBsDaZ8Wpw7+YMLldNujerX2ei8kNh4OY8E 08cqXv8yJvAIU6jMOrwFy3Rm+ahAwrh1J8ql7nEx6azjBR/HdiB7b/H1ViZw 3FdzWFaJB/UK46WLuruw7J1T9u2VPPDYw/RKlOkEl73BiqoX26ChuVh58wUe bJvw8/7+sxf/6cVuHOTz26I9ZiZsMwJLn0m07j3XAFL7aoW3rGQjrzO2Xzed gocCF+tNVldh9e7SD1bRBHoK539f40iD2wYTL368ZSL3/Xv92EICFH86/HPu KML39w6fFHzJhK1/3veMhtHg1GIjW6vuDAjoCM6K5fOD0FtVT2mDATRpSTTQ MxiCqoWkpTQSgQaJvTG65Wfw8O9Gb/XEARS2YXg78T3ip7gcOWtLClyeuaj5 u4fA1etfTe0wY0JpwU6FQDE6Xl1ivT22nJ/D07bCqQUF8EhS4Gf6MA20E2U2 lJ9mgo5g2bWZf2V4pWmlb3g8AcpGM6KFMSz8PUOJsjejgpv9GYeffF7NPTMk laKKaDXhq5p0nozWqTFPr3ax8cAghm662gA0zpZS+kECl002VBJ1HNi5KcuO 7duPSXrnJa0ECBCwrlsQ3NgC2VtH1017dEFy26ncZ1+4UOHoe0hsohu/xJ5a KfKcC384K3xWpfBw7cIgPty0wWxn69jflxw04p2c6qX040Hf0AdfJZpRLGKT Pofva+99S5yuq5PgqFncZMQdDh6QFvA9f4IA8X0XjnQbIt6zElytfJINI5yl /5ylKAD23s+vl/bCSNUMaXv8KD5c6SSdIEwHqZGz85l8vrTY5jhYsaIZNnPO nvz6oB26b8tFyQX3oujv2pehr6mQ1vI69mnDMOZFJuy9Z5kHR6W+CF69RyCV baIFzAG8v+b0haU3WtFffE/a/e2jGPMkIezCTRJQzu5Zm86fjzXi67cGNPB9 fzapOG1HO4qW0E1dG1lQ8vXpKQPnPkhUMO3rLKwEJ39luSPVXHhFLPF9JUFF Fv1SeI8cE6IuhrleKiPw8EbLbJfpfPB613rf3ouJj3+238uboqPw4ot7BdNf oATVYU//1mGMtPtjHuzH55BhmczE/1F03vFU/m8clkQDoZKUliQVqcySW2VE KqmkEn2JhNKQVHYoI3tl7733vu29jmM74zEqlSQkKvk9v3+9jjOez32/39f1 OsdRM0j20/fMmn6C5Om7Utc+OeObrdmvv3IMwIBby+GeI4Pwc/NUTfKfSBS4 e/74qiQCuIeOK7fsG8bAxMQzEZ964X3ervgYHwKtUhIuTF0rxhtDm9INaT1I f6ahNbEwgg2rOE4c24ywa13ic3FzAnUE6tNG99Ih4tyJT29muvHbIXM+pgoB bBtGHjttrYGDvGzKNaVdIJW6ru5IHB2GTuRYvflVj/w5H6TSvpE++SuoOzWb gaoCGe++v2iD5rZq05w0BjqM8uSlprRh5xu+KZGWRny/aib4bhoTy6ivnae2 dsGzKqX4m0Mk5+w2U+U7TMB01pg7p3cthkSuRLW+ogPj6bP4vuOkx1pujkp/ Ww3b3NQvGl4g4OSF8IYdbaQXeFpkmnrSoOLkVm918nxnxm+yKAWWwM0jr4nF /SNkXhsIjNKouNf+vP9ySAG2vNm1IzyawHTWIkWViV5ojtFSbzQYxlt3WAvN yL1mJH/96BKfgmtDo5ffdg5CRIzbwpbSfuh+N5xh3OeE6VZVftIUAozPNDke CB1Ex/hX20zn+uHKcJLDbbKfEniCeMd9E/CY5R7DC5J9WOo7niG7Zxhl4qxb ++6mw6vTjKyYcgKJ/CrzNX3DsP9R6eEKjV5kTYqnaIQTIL//rM1z0tdkD91Y Xr9IAfb9g7qvHtFgJnBn13uuPjh98mZpfBAVezvHn3LMtcHFwL6Enn3lUMv+ 7bnXg2r81yGqcX+YCn+UNilEsBL41kijdf10LXlee85cmxlFbNv1QGqoG++W LDb7BlJQb/hy3ejuMRS3vRrd+KIeCg57tAnJjKFAeUfj7SA6sH92sdpBpSDz 8u13W0ifbveWT1a3rYGw+0kc7CvNcP8g++qyRBps8KeW+Li1olDxgxyaMB3G vX17PZOY6NHRv+58fj1MWon96uNiYELMzoLdpt24l69jiae5Fp0DZMOWQgm8 +dBlH8cvCnyamYo33ENHm/SbR+acCXAYnK5RtqnAw+EzforpIzCdPB5h09YD 1p7ZN5PW5cP1H3aeWx0J8NU7wxq5oQ+lFiPmbvweApuVJ4t6LQTmLU8VhZkH gFvc7vjubwPYs5Bg/Lx6AF2qL0goTbiCkk2ZXyPJccmlRnKHTw2BR+5x/uCb /VgrlcFpRHpAxoLI66+lMdDvq3P9ZXkfvHjxiyhKGgLVlHk18805qHsmVuVB FgFyM4bib3hH8P1BAZaBaSoYJSmsu2ZJ4HNBtSxVnwo8v7tRYeUKBffSjp9N H6ThCa0bCpv6asD1vePqQXlyHtap/Uodp4P7N5HrK186UafW4Ot5DgJcN48W fTOvhy6bpGsVpE8V/fW02XyAAaEirYnS1U1o9LR+SdeGCZKl/xHK7EyslYzo nF9pgfED504XezBwxzODPhnpdjQaCDoht9yIRwTCE7TJ3O7tD6CfaeyAg5Iq eouHGFjwsECCuYuA2fDne12O1OH0mq2HbvDS4fnqclHm927YqW92S2q0FJon H72+5kRAvDKvoVkyFVezLV1gvzAC9/84e4inEWgZKxItDXnQ1tN5U2pqCJ8G 6Nt+eNSHhxusZFLpKWilT9lXjAQ+bbtOjfzbR56fibOK9RAeHepXZ+si+UjV LuDv9kC8I4ktlRUD0PXQIflI/wC0PI3awFNHgWMs7FeTY8j+Fvv96GIDFXgE xV/6eBQiv/TwsVvVOWCm+/ncAc8u8FD/vDVuYx9CqKnbjxkKdP1XXNARP4ae 4+W8X1MysKyjcNU4Px15ONMl2PbT8JHOG77BtAxs3MJfy+Y/joMU7tkDC32Q 5RDZciifhuweSQ/+//ntSGnFky2WBTiqZs915fEAbDscK7iX0QuOL7JfOB2y xTX7ViooTkzILWI2he0YxBOK+l57VvqgcFvRH55+kovTvqRwko9PVXKq5qH0 4dkU4aivKcMYrbxOi+NiPrRrbBkIWDuKG162MO79HIH/aj2OZl2nIu5wWXPv LQHlvw0DXtYWg8qtWyZltykQIj3gPWxLg8b7+7jFmdX4u2RXsMY+AsJCmuUf rmfg1NnkyYTiDjDr/rBCSDHRb3B/ssjZFnQrkqnI29uKqm8Tsq5vZ2LGV93p FNYOuDd7+mzwMwYGfG9cshhnwk7PCe99ZWRPVp5tdVBmwLToiSC5mx3AUay0 QyWwFroGzE9q7CegQmI0/KFHNz6trV6xOE2H6mtr48SsSD8a0m/8nlYO+mav jljvHMFJ1qx7nz9TkVOsu/L61gJUzd91yjmewBiFxr6Wl33Q8Mft9KbJIZw7 xVYWVU/Aj3rzd5mMRDReLNe16xiCOZfvPD1BfdDN/d/QCcVA2FJbW2zeSXLT x5wkZB9ADV6OJwKug+Ab7PNopYtAlk1fZ7tjfHC6QjP4S04/5l7YruHWP4jZ 5+1fEerBkPphmC+wk8CR1WlKXxeGIIORom5q0od5/CfCtMsIsGZ7sDhmngFZ m15NK5hRQfxLus7eFyOwVXLDIYdTVSj/aPlGnhGZE7SSH/0hNHy6q8S2r4QC 5Vy6Dvq7CNRcf9vA63Ad1u7PFd0NXajRsE9PrI2OsZ6U/MrkOujvYmGR5ydQ uzKAI9eWAXba25JtH7dj6VrvOyluTNB47fruwssmOO4XK9yX3giv1y58vJXB BIrNvH/fUyr0rhprWr5DQ6uOFJnDAo/x1/pLhzl/UsDr88h/xoFDqHBxWeYS Xxe8WWMqYlA+hgqaXOc8n9WgXoaah+rncHCU/f339Z1xXP6TxB12nQClPnHX ly/OgGhloqimayGyVY5u/iPLhBY6N8+mxyPYIVU0/mFXD8R6/BaffEqgsG9f 86J2De6lb8mwDqNg7VfG8cvJdCw4rnu8lb0eTBY+pRo9INCt9LX5mDUDDktc 5i1p78DdBj7Ud8VMcA6tsMOmBkjKmh3gc2kBnWrZsc9kzxwW5gvemNeKAgaL 8YlhDIj9ynbTlZ3AO2V/q2ba62Ch4rJE4K1qjDZ4IBOgT2B8wJGpK74E6G6Z WNh9ugSFCc5BvX85oHk/vu93GgGTT/zH40kvVLgqcVmKJQyURHxk3mnfhKyS H7ZpVAITfwXRTFoIyAuZP+2VEQuLb5Ln8FMWhi0IfftZQHLJTObJGyRfyHq0 vrcNL8GQX5Xxt6ZLwVbROC7MiUA99eNVv77RwL4TfzdKUPCrdLSV/WkCeEzn 37ddqAF65rN1B+M74PiaJl6B4wzY0bFl5ct4M+pw8RPxSkyQHjRfcFhgYM+x 4+4RF1rhx7lh86C7DIQ/FDHDwXYUKL4ru1esEdOtB13f1TFRp+P1JurhDogU ldomosXAPdIXif3kHi4qXoucp9Siz63EBWstOuSpeUp4OHaDXtMVFj2RPmia T9j6/GE7xqiWCT9TasWW+/tjFBlU8nqk7pu5O4pjdan/7iXng9jRPCn1WQIt 5Pwya0z78BnTzIh7oRnjGpPXO7KM4+0kMzney0yQ2Jjl/sWkFV3uznA+SyBz yM3oh4dqG0Ra5alOiyHU0g5sSrzCAO9nt680eBO4MrMzi/dXAeS/n9U7bZ2D XDbfXNOFRvGPx/ZVPCRXnbuvNE4bicVBjxs7DQ6Y44j+A271DJLL7naMMbJJ /3eU6tO9loM/tKX5VTeVQNul5p5dYaRPpW6mOlgTcC0SGKu7yyHV80bBSVMK xPwuZH1eQ4O1wS+kW1tr8PYym8zScQKOlTFOK07SUTd0TSyjqBOU75TGKN1g IndL9+rue83Io+fIbTfcgmnt6k+E+JgYrX7wH22sDSK+sg48iGWg+t9UnbJB Jpzb/XK2srwBDziIVrb9qAP7sMlXMxtJHvgQWXHnBpl/DMGNEcEIL/4k3ZLn KsdI+YCFRy8J1J/7ZFqfTOampu/qri95qLdF7GfAjQA4lb1m1///buVIxVlq EemThGn2tMJ+d5Tk4n0emxcBMqwjL+nkHH/0XM8/WEw+jptpeWJMJuRoUjV+ O1JB/dHCYL/pCNwO8nKfYPZCvJ/hz+HbfXj3gelEkm4ZUlbk4tanUEE3ccPr uY8MpGUl2C3kNsCeQ/k38cgY3tASO/nyTSfKHSlccpahIr/XxtlLpEcljM3y nRGvgT9ZJ61r3caQ5e38MDeDBlocyn3Ui1Q8wi29oq7HhJiL3SVK4hWgo3Pi uBVrO+icWo79Mz0C6+Yl5oKtm9A0lj4iU0SHwCu5OwZ/M9Bm8/ZtrX+a4OPh 4IwdTQws/Rrueqe/AzlVx/NvSzeikUMNleUagQ4CHNLEVQJOPI9bcH5Ug6Is Qe7bQ0tB/2GUsTXpkWem1jv8KSUwUPOnhAM1GfhWjbOyZPqhpk5trwGdzIfs oqf5vQQMSj/oXb3NDo5FHLy972ccmZfndEJqCageUNiq/Z7AKtaFJYwpxEYD XtHIigoopZzy8XhE4I9mLzsnfjqEybVzy3/tRmnhW5+/kPudENL0OlCd5OFj r2fe2HRDvduGA15X6VBkd3XNudh6lJvmury4ioB5ec9n+eoMvM2zLkFZuQME bg+GeZF9zJbtElC/twUPMLp+am1oxe+exXeV1pBzeFo3t9ejFYx7Kyecv5B9 7Nuw3a+CCcbWXz9o6TbizL2D9uHTdOBcrBV7V9wJOoIds9ZG1SD2/pYojxYB RaE/bxx1JXCP9dPdbBdKITPi8iWp6Tw0OphXfy6ZQFetmX8fagioBUpxvmoy fmGqGIcf7wXOxJJT1+wr0MlK33fxXhH4+jjnbKjtAEEWC8qKGxXLtBp0RV17 IMnS58tBxzGM+yORnCYXiXyDNHZTt0LUW+W2e9JzHJ9vfLL7yUXyuopfqs9i KUfTP1nR9yICYPaVq/EvSyb8e1ldeYYg8H70B0rBrwi84RTdtckgBfTeOD/e JDKKr5lc/iLpBOzktnD+o5YL70sfc8TQeyDxS/CqMrcR8F+8c6nzbDly6SmD MjkXEVkV0cGSdOQUWDqu/6Qb7Ox1GQUUJrL6vA7L+9GALjk6MqwiHdi9l9Or /QED6YEJs+xVLRCle3Xt3BEm3t1fEGCkxQTeN1IrW+jNuK80i3dglgHOPYpP Ogxa4bLN0atOvxrgOEvpmbA6JgTW11tlKRK44FQbuftqDQzkvTtl6V+GQZJW S7/tCWTdeFlsA+kFT97JsW32ycW/sx+plLMp8C5VYnkeCTj4JYSIJPc7p3Fb WVqhO5jUPdpzPNYSX4WaNZztIVBoj35YQBsBZlrTzG16UcBatm7UQ6sYm1WM W4vInnMMnLUsu0ngk0N8NmueIO4+MZhXuJmCdWGmtXf/0LDYySBExqkaCh59 j/G4SOA+2smrtFw6rF7jyfs4qgvbZCkst9YSsHl77p5S3XrYbvLOpkmoFcQG BzgqWJhw6OHAtPmFXhDSPimc+XEQ73Lu/35xbToeW1E9zv23B/RoLQYjXmNY lCrEwsndjK1XbRLLegug9F9W7be142gGY/kl2wj4qC6ZIReSAck7uY+3HqnB 6rUeHC+iGbC7569lyArJo755P+eym3DdzvqFo0p1cHv+056UKSZcUTzWkPSc zL+L9t4vP5WCD9efrm0ZeRjVe8BmUxGBPEHhc9WNBDRGau0X9EjCUTtXwR1S 3rBp8githbxuvkNbNhxuJfOgXa/3gkUURjjeyz6plQlXM6ceyZQR2P3RbTrz PQErGcVWfF2FkD0nG/qYnHsXu51pHZYE3PVOnZbfT2DSGk1zju5aLM9TeaJP r4NT2s4ehnwEat1cXvtgK4EpiSIBF4PrIELuMa97I+JjJckfJ3QJfJ32Pt2Z 5PX2XXSti7Ul+IATJnf39sL1MeKNomYDvrCP4BPX78aJkdypEiMq9OTyfXnK PYb2a+3SqwfeQ32Oj17Olxok9KjJh26PY+nLge8+3AS8DrxP/ctaj48/GPcf EskDG1qH4k5O0v+G2+T+//4l/aTCYZbScPDXepf1fb8TMhfmswvlR9HlGl/2 zR4CzDc76j6g+ILm2ojKBchA1tpYQZkgAoTO2/EnGRF4gFrpbqlahTtlv/zQ WKmFv41BbIaSBEY5XZw23UDus0m0S6hCPRRuHRonUuvw59aQ9DTyOjg7p/9M +Y/01eWnYm6pVZi2s7S4VLQMeMU02S46EPAuQa5fJpP0n6b6YT7HXMhpvMJ4 eTgDZcOCVTPI8wgJ1/oWQXK81ciudbN1wciauVJxJTAOvzT4nHZtIs/z3hXN CfL3u0dpLFl3c3GCaf/z65ECGIu4unQhlsCB8d9WT61ITvDv22kwXg7F7GUX Qw/0wUyLzY/pNgqKuQn1KOXXYXNWi+2zeSq8UZguDxQiMFbx8Xf9GzVgGaDg pxRehfmbO2oOUQh8bGR8nJPsZ7uoaA+vlUIMVCtVushIAcXFDIGr5Nx4NFIe tLYTSMsPuGyMTjh7j6snrj4eDDf/XcfWS76euoBzI6Xk8zkj6CvTmAkaTQ2G ZxKK0PKtEmPUh4ALMj81OkjvX/qob/W5oAa1s5VTOKABrpsLZa/6zkQvL6sq zQwmDn7es1Kd0gjfDBbnRUfr0Fj2bddWcv4cmC+ijUhe/wnhyy4/EbPkpzNU PucBRf7Jw39JBMS8Z08SrCOwJ13woOm5JPCdt3cMjQ5BX7n8uB8dBNrpC9cX k7yVM8vpGPzmBYyecdihXjqGxDdBzr33C9Eltv3Her8IDIqgbkn2GsfjJXvz g+8RwA7+Iq8K0rHT6mT++EgMupv6WBy3Z4JhysaSDNLrJ+5nKWwzKsTKS1IP Jm6Xgea+wk5uMueDD9tB6i2yp52TTfzFqyDnsavDAm89jszIjmn2krmrZf1C 9igBcxJJgbHutbiylCz1WK0KbK7Gl4qT3l3vL+gaHEnguefblzTeF0C39NmP 1F3paDHD7dBRSe5pYateQje5b5xchqV7/bD7++jWxWOOOL5b8Ogs+XOxo+83 HSWvx1D+Os+dckn46GdI4NlTKXCz8i61uZpAxfS/9+KiCBhOLkvjaC+AhOms r288atHoQFDV5kMEMBUrnlD//31fe0TgvH8jnjGdXWV0gMwrt2jH+l0EiCgf y6h7nwNKbOtp7oJfsGR8w7JASw/8yBjSXXjNQIGvrbsv9PdA0CExkZP34lHb 7mNaXdd7mB/TWt+wjwLdnG3ZWZkD+GXhX/RgdjeILK6V468eQ12hFdt70WWo eQ0IHpYR1Ez/d++fDAN3HMvekJVki2fNzP2OOY2j2o2ZpGKuQRDasJTx/vkw Fh0yuDhhQvrr/jLFS56xGD1RO2kr3wfNURKH89kHQJDZXv++OQ3/5O2zcnrA hGV28xlbvmFUu8bk4SZ9wPFC+Nr/f86IVf9zbvbbMlR+/GWdrS0Vv/DPvIyy pOEjSY8Nq4IQogxTPLaT+2vOkeXl4E6HCck/dkfKu/Hiz8kB42MkH01LDgy6 1wBnwJPTvy92wNt6vi26C3QwtREvLXZsxPjFI4NfLJjQuf1W1+nLZB/kKo+1 LzbButJrfX0zdGQ1dKvcPtiJEUfKe+VS6lHgpNSX3o0EhtkzSmYUKMDYJ+Yx 8o+Gz2H958kbBLz4Sr0bsqca9e/XaO4dp4HZTK3eN3kKuIOCBZtEKZwZTJe3 cSLgM1tS6TwHyTNp+evL80egMp8m6VdA4FHl87cuBGZBH98nb6vjQ6iYk5m0 +Xw/1rI51FxjjcWD1zWrt5D8feVpqO3J+gEIsTR84UQdwBN/ppnF///+2/cn 5eMqjWFeZ7jdZXgAsly/HXQqGYDdVvqbgBmBz4f41pwg++ngBiE3Pr4hlKZ7 8H6x6Idsa/FJnjwCb1IIA6ZODjLyPRX6n/Yijfm2UKJoGEsjFXnv7s+FvXwb eSVIDxoOvDMY3T0Cyu4rN9i/9+DEhtA0WWdyP2e+HTwxUApqni7iGfXdsJzU vz5ZjA4Ltrsi7dga0HtsWiFmnglx0TkV/msYOHN+KKnuZiekxHdS5E8w0WK+ 4PafNS0YG3eXL/h3C9bbXv/131omzoceZxBCLfDt/oWT16WZeDiJMuCYwoQX KhEnKmsakRlEdWy6w4AqT/4y1k/tIJPnavaxugU4bqlY/hb7gLJmqYHGkn3A 9afISdSqG0/8ZFOsvtgMMG/9L3F/Lex9VPy05EAjWrws9u/9RYW/14ulHzAJ vCV0pEPfqRyMTr7ifn5vFHlPvZNS9aKiqoWBupNqB04aXx31yB5Dj0AuWX/+ Vvi74jJY5zuKUub/LRLppGfnVhUzLnXiK+u6HTzxdNDnMrmlodYEB+huz8N9 6+DGLfmgJ6SPHE8445dX3oXtX64myv4cAZ7IGtfQCwSmsm7t5wqtBB6pq5Sw CBruWu3/s/5LD6qGx8idvFaKM0cjDOzmCLykfminoG0vdLpnm/ndGkEjNcuj 7uUEBFh5CU7syEW9fd+zqE1DcPSlZy6Pah/wKl6S9B+IBBXtZwV3EwnQPFW7 u890APU1TVYPTgwAw3mr0tsmAg0vR8vZ80eh9pFv1V7dfdj66ptVbPEQ9uzZ etLaKgu6tn14t0jmWvjgls1Gm0aAxr6xOX5zL5o8yxq7QN7vzhvXcj7X5EN7 kdU1ujIViFOZie2eI6BUNDq79U05nrQ+NCj1hABOvdY9ut00jHg1nxZ6mQL3 5vwrRNcTGLH4j5emWI9+ksPLye87sLGQR5BTnoFnLTOvxdc3wU+nqe3Wtkz0 Z/+re02ICbJ9lSVWsS2YE3hup+AmJrAejE0+29ICtRQzjY17mmFb/c+0KyZM 0Ff8Nc7k7cBnjhZOztcYUO/K5TTISeCL6OwXBjvqQWko6SAcp6NEWF1LTkE3 rmwLVedxqcFzKraRo6dI/vvqllsfQQFnAV6P6jQapiVsSb7xkgDxJX0T/m3l 2Hrnxw+DWyOgMy5wzjWQCjtqQt8kaqZDQ3fzmBd5LpXTOO34tQ+58bG0jcsQ hH0x4CbIXmQbU1T3FguBXfvqqv1+DeDhUnGu+PABVLLbfNef9RF+j3rH843k gzIuYqfnqUFwD9c3C79Cnlu1yutP7QRs8uOuD1cMg8MWG0+06fTBicXtob6r hoH3Vp/r9oQasL1fFcDS8AmTmgYpg169sOn0A4PuwAF8ajWqSGfvBo9Fx/31 fJnwbfx982uNPLzjpevyUo0KT9efEsm7Q8fggx1bFKebwfEA1+PzlmNo90nO Vs2xFat+QOPXo31odIxHOVBuFH0rKEJBs6UQZ/lQcgN9DHuXOqSHiRGYT+S2 WyfUh7J9iptuf2OCsJ7CFy2PfFBtObWQl94Fz7VMDq6eGYZez2Nm+T51WBQx eUD/MgPG1dezpLCRvfMoUv7s7zbo9o7qiQhg4tvBWe3ANa1oMRHNlnavFVmj lG+8ZzJR6tCi4PDqDjCMNK0t3chED05OJ3Mucs7UIs9NGjUgs1DU8AHS4YLN M3+ishM2Ch0WthqqBjmnTz/M9vzfl5+fCq6g4HdfI41qLRrstZzK3RhM7llu kvjm7AL46VOsmW44jNQoNuLhYi/u/h4SVZ2dhq1bpc84k9x/Y96trfp9P5z7 bvFPlGMIl9TEViHJAeZiog4/nr/HK2q0r6PRg3DgBuew3Id+ENTujDQSe4oF H1Q5rnUQ4DOjqFbwchAvXekqmVs7AJL38oINSc44p7O3v6AuFXuctG43GfXi J5N3Gyvqh/F52CKw/MoH1m2WR04kkDx67XdqwN8RmBu7/8QiuwcfbmDTN7cj QDayovpRTBn4llUIPL7dA8ul5okLEjQwHNx25VdKNR6SUdigfZ6Ab0U+U8eA jnWfCqlNkd2QGlAU/H2KiZLGjpedpBvwQFTrP6vGDlTtSTd4coiBFV68lwRM GkErfkjfoZSJr/q2Rbf/ZcA7r4OfYmRbEd58sFCZYICI8IXKhcRW2Dsr4u8U Vw/Wge5zl1kJKNK28x19043thvkmuzTpsFvpVc0OVQKL5uaezK6qAeJn+FqJ /TQMZwRtqzDvwVu/boVW/y1DtyXilNdLArl07G7tofTA+pMiEnNjIzjXzJ7M jCPA7TpNR5SWj1sLl5jrHIZBrVXumEJZLxSIulheku+GnPBUtsDLY6j5MZZN LbYXzjzdos6VUIsFKLT34rFKyDjvkMSm3Qb6KWvOx/pS8Ovj7Vt+bKeCuguX Dkn/mJB8AxwSn0G4iNffL9bk3PEsiS8rD6HyrPDATdsqPCrJEyVgNY6F2uMB I797wPc5qiVrMzH5u9bmDSTXwarsK7TAGiyZ2PW4e/UwHDW2TTVvpsBNTZW+ QOM0+FfjddbnJBNu6AfGL+v1YdpF/5Zly0H4bzxLu3+EwIf7Nr/bt/QCHL6e W3PDfRC3LC/vi985iBaUuprNH9xBfVXUxjTZUTwldiZL338IoHKPQK5jP8pc 5B8waSbgb/+OHmXFODCXiknVSusFHk+K9AHZYahT1So7tykfZZ87Xq0keaUp b4rjACsNXcV75w6QczP8uSmL9SSBaYVzh+OLSK8W6T0pfq8bw18/C09+Sce7 0ke8L3k3QBNRLyS/xMTAv6mZLHYMEDKcY5bktSNHYoXc9TwmJFRnXjDzbYRe C/+vYqT/U+sf7b67yIDLgnt81YxbsV8mZg3XJAM632uqXetnYrGZVPnVmAbI YfhlZ6jQUfSj3FaeoG580hq/95FGDX7Yl120+SzJ05b2N5IVe2COIrr9vRoN VW9ySYi8JmCXxaO4nsZSZH/Y9TSAhQYXT31N3JbYA2Oh+g+Epgogny+DdWsk AbrtPX/ZJXqx+9weV8nPw9DdVbssQ3L6FXWX7TFaKZAUmpEVpj2E5itxPz+L 9GOnpIf+Uf04tN2JIpeaCVRz4d724tQAWL8dmk29Oog+grL5RiSf+cpMxgiV m+Dx/Iere/374dBIwo/bPwZhaNXHR6+FM7H38f5IuxICTm5MFle1GcaLiUdT U2p74V4o/LoSSHquAG1Nf24RpsmbGM8N9GDovl5hUcYIWiwbiCuzl8IkzWR6 wY3A8tuGV+KDaRDaz9GqW07B6Iuf++O0CBCI6OI4cbsabpr9W+V6qRPCjjwS C1rLgPP9NEaYfBm8PvyPlbk4iYVc33j8OqjQYF30a+eWEZQ79TdMw48CAm9v TD/ScwVeEcUovrJg/H5gV9M6wx4Q2mMhxEwfxqOWw5fn3TvgRnT8nAPJRS3l g/L8P+pwJ/2DUI70ICb35ViWkv0Z56fL5DNNAd7WIv9S5XG0b/iQocc/DN9d OE+4EgM4RzvW365CAM+i6GT0RBDYLoelGsX0gNiwZKSx0BDsWRBy59cvQw+z AdrttUyYHUkO9JGi4YEPdq2C6yjA8UP44kGSn1QFX349UV6HA2nzn1Isu9Fk T+2bZG0GSjL21rK8aYQ/+VsMl2QIxD2x+u9+MUD36GXmL682LD2Ydu69IhMs qA7H3dSa4VtlSK7q0SYQe3A04cdZJhy2U53NFe3Af86LMYYbGNC4huvTDfJ+ CocDRPefroHTOr77szVJXjso+l/8uR7cIR7SN/2qHLtVAiR/uxDo51RU5sXW C+NDbTc3i4xg6Z4mz2epBIQviWkW3cvHvy8E5GY+DcO2o2ZrXhzuha0Fd0sP bUsBz/sF0/srCOh1VJo5PdqHK0r73ka8HoKSmBP98d0ECqxxE36i/xTk+wcn 8j71I0NDffP2pEHkmz2hXcsZArYNjfsbu0hfrbRK3klygXSHs5MWmStaBYl/ TpD3e65Ec/StZTroaBrEbjrRBzIxWQ+qBYZhaIMTJ69+AYqWHAsbjiZAJemh 5y2tEXR+8Pbux1gqhBxUGFt7n8BA869WKm6VKJA6/nVnDQX3//xW5hNAQ00J j9MDIgh8n8U/3blNYNab6W/RnnRwmd3RFbatG1UmEs3yeAlIsRpJ+PShDlbT yvJ1FNrAYEOSiEMtA5IzfXM8D7XhNSUba5lGBtz0CGq4SOat6akZ18ruJmjd wX1sqo+Orn7Da9fwd+Ep2sXnRr11eNnzRxzyEXjGfrvUnFcXrI9SfvqgiI69 KvPDLZcI0Ks8xKFqUY2/Uj44c0bQQOvB+xXxPAqYXNI99Vu9A7xGGI/p9eNo UOyXvJunD24WLkoJVrfg6OmbW2Sy68BmBlQmfjdCTPTfSWUy1/y3VB7krqDC qgabPT/TRvHulTHfkoBMqGn8b8aL7GWK7YE3n+z7sedKHUNNpxGTxr1mQg+M o+sTjV0pgt1g0XjJ5AHpVwYJeZN3kpgw47iNc2JNMza9OK3BR/Y521JS6uqI DgiOnmtc0CqDldQNlu/jGJDj2nB2Or8Hb7Bukai9Ngxd0R124xlkXrS2q+x6 lg2smztDDhUM42zrPeH8qD4kfH/+M5JOwp09/yifxUfx05wb/ZXoAGhL6EvP bxxCU4e28hv9ZD9Ezx4yWeOLxP7ICcubA+Cxa4uyyOgAaAqEyvJeD8G0wdZC nxQC+JUPSCaOkL7qpb67UqkPjNi541tDCbzA6sy+NaQQpzzCo18dp+LUJ9pj 4fIR5KIZSI1eq4TTKvIRHDYEvk8yfVA7RQPPsENspZoU1FoXcWZem4ArFX4/ 3mhWw57AiQ0UpW7Y1uaU9NOcDpMC8w/sxOux4UiEJDcH2aPXKP7jDgy081ml K3K+HbZTF88aDDIwLPhjqcRwK67/++gw3bsJG299aN/lxkS2b1JX0jXJ/As2 +mPGxcAlhX81/EIEJKYfeRl/sw7r72vrB2bS4ZfL7NKX7C64u73o3r67NXCM e+OoABBwM1vswvIjCrY9XTPVU0sDjUMfgh7YEyjj/tyzUKcMTG5rnU0xHkGZ 6LvmnG5U/PG+0StGpghLLnlonAkhsAa717p79MLODsusj4nD+HWfadtJ0gv+ mfyI6P6RjvHyxy+3bR8CqdE0jnijfnDkqBDZF3IblStnDzZRCHgYe/xl4aVB BMbEpS1KA2Dg6JWs00JgR/cJhw0ssdjySWB6wLkPNzPlOm3oQ1j27uz+Y8Ip EHBjtXoc2WMR3nJTn32GQXSsWZOZ0It5t03kTOIJcHWCP68r82Gfu1579K0e UKN+fftekgZJY9SvX1b3gWDXyzN0jl4UaKanbH/UDrY16wVNW0rhoGK4lLk8 YrtE4hr+bipUPP958BMykX29r3toXB18KBUbl1k1hhNM5mU70r9vv9Gv/71M QXPzxd7qdWNYsv4Ry+6UOgg0dys/eX4MrX4H+By8T4d9KwfyKcd6cLuNUqv1 PJnP/PxqignVcIeZqRRQ0wKKRcs5gy9okHbkIn2+rgU/t3wn1DXoQOht4quz Y+Jjpvs2kTcNsNr9n9rMKQbulu7b17CuG19Iy7wtSahDB6rv903uBE5IMx9F hFDAkFfp4J3bdPxiKiNz24aAO/km5YKbq9AvCTdbfx2BorwrO1Qf9EDBIxcD 76wCWH72768oeTv1CPn9+3J7sf7TKkHq6WGYOV34Nq6RwJxHdN4y2zBYy33F 20V2EK3vSH3qsxpAySNUtVPaD8EPdvT6Mgm0jEmpn/s5CCbHxqu10/pRq6Wh 1KKL9MQs+/zmz2HAsRD0u4O3H1Ysi6pK9Ibg/uYnalb0DHyDqw0eFxCQuYMY Tmofxq3y85nTGr3w3yq3d19ILo6lbpS62leGqTUnL09mUtDQJIZlJJaGNc4M R7vFamD/c1w46hyBBRkyttvz6HA4Rv94VXIXYt7qCho/AVs+af41T6iDbgX1 74bvO8G/HvZL/KTDitfD4salRmyTixPfHMmEM6rVjrJDDPS2DtL+0NMK0+rb j7IWMzB2HTVY6kkbXt3zT2l3bROZT9vtB14wcd+DZK/LS+3w1qP5ZOptBrJc 5flxn4eALx4qtMnfdfjirFtlFnmOKcLdMwue3UBzC8W3EeUgo7eQt82a5Hru RxfML1PRIXcud6fHCByi367aGEcgx2mn99vYCuD5EGdF+ZFhrKP1U8R39uHZ hsjOrbsyUPxZ2KRPGYFgXPjlQFIfXPfuKp3GIXzusZBZRPqzUsu/6v1lYchF vWbMwjMIh57Qmnc7D0Cwgsq2qDAKHNu4GPmK9G/NFjHWhjEqbDl+rihUpRhn HXR+UyTy4JVFxJTjji4QqvuuppvVi2EO1/POCvTArfRkDfmIMez4nJ/1em8q Wl7yv++pT0djPiuNsIERfFX26gl9Tw56RVac9fMbx52SqWvXJPbBcu3Ajv5V dNzXpT1loUdAQmN2UPDmIuSTkZhjxQEQuSwMqmSOsJS8dH+5IIuRHsIttx2Y MNk4mTdPGcBLK62vzc/1w8TV8KraIQKj+l+dmBRKRYMj8TsW9/Tj/nz3J353 h5Hzv1yRwDe5sLg0daGPZxQhecezE0XkvFf9/slWSEUb1Hbh8CfARj64UkSk CKR2ht/5XEWBvdH+rvKnaaDw5T6jlqcaLW0f8yoeJSCwXH6arZ/0x9PuPVtc O6G2J2nwsD4T0+iyRTceNaN2yuWYkYlW3HFEKKDsBwM/9xXs+O94OzhQxRvO JDGwMCbW8001E5r/Hl51wqURNRbaN1EeM8Ai0M5UNrIdgu/vrLN4WAdP3FrO KJFzeseAX65UvBut6xKD1z2jg10au+GXewSmH1z0vm1RCYfimxUS74ygRuw9 +6feVLyj+H7Vw+JC7MzYNX4tnMCfE9t77u/tA5tv2dsMJYfxJfvYlgUkQLi/ tkFMMhWv37Ru5OEZhpe2fFqqKn1w1ev5hwLtcNi4dapn6v/v9zU+jJYs7Uez U8rxnB2D8Mv0dct5ck5Yklk/F553wtb+RwdcV/pRTNJkY+u7QazzFrzFau0D wvKnWB+S3GYtVDL+KXMIppUO2HZV9iFX+vctUeTjmwFvZ61QKly0td3FbKLC UTcV5Y0yI/AlMdF9k0sFRjYu5G54RMD81Zw3xQY0FJZMWBTl6wEe2s2SC0cI rL8JbjStWszR+8iM/NOFdVfqdH+G0rGlX4XzALMWBBemz8qLEMjq+yeBRZMB Csq/O4sVO/BB2Ntt7OlM4Nyy6HY8vxG8r4W85vFogtUuSUWlr5nA7sur1nqF ChktFFaOLhre2a+YVrXqNowfU+dd00mBsdzMeV7pIVy18OthhXcXMPgKPXor x9A7//m7K7HVKPCt5TDxJRAeyWslmZuO44FZu2wBcr4PfIz//FP8JZZpxkye +JiP/VROTjUVJnC523kZi4/gC72WW2te9UBYatLJtw4Ehi2WdF5yqcac9bn1 r/9ScLLi1Cpfczoe8vj03edIHZinP7wmTPbyy8GM/7LUGeD5Yt2T1x6dqKu+ 6xIXnQn7/r7yfjBTDz3Gh9f+d64VBF6lJnckMSBi+tyFXHoLrpE+5R7UxIDZ 6YNbL35h4mHn7tPWCeTtacoLN+Rr8EHluO95LQKfTQzw57mR+zni63acXopr M7enb4zPgw8Pg3CB7NUXrFJmDqQXft5oFvDVNQZmdML/Nf16hgYNp7utqATS 1Grj3pD5Y3WMd9323gignXnrbRKVjqUaS8UFZQT4WcnmdfkTyAw7Ijjyswg/ Der5NUiUwCaXBHkpL3J+7anVe4tpYCwsernPnYKfkp87z5B8izr/+FsfVoOg 0OuHng86we9MnWgMCwO6YnNeWexqxrKIYnvue0wwyy+4y9/CwFuDGc3+u9pg sOjCeIUfA6M+PY0e5m/HVy/XPDCbbsSWaRkVxxgmelxlzXlp0A7Tcg33ChwZ OOK/9vvqrSSHzQubC0TWYQR/76U2dzpYLN2+vGFbN1R33wtbFuuD28djbzhf 6UD2/wjitGULypaM2zt+pILp9oozH8+Pkh7L6nBRqRCsYsTGl9aPYtuV7xFF 6/vwjonhsk9vCz69NlNY/GMMB2pVWS8fY8LE8IWgIMk2/MLGenfVMA30LETU vGxboanG1vmBYTUUFMPDahkGHL/0J/LEa9KLFUJ0w/KLoPe+3ayYYh7K/H1F qeQfxUsOUVvYO8l868lwuSOciO2uui1TG8zAbv6hkWwGARvbetP5iwj8NWf8 xHt/Js7T5mZ2ahWB8nLgv3/xBFbNvc/e7kSAaYH9wnNp0qN/mf0Wb6FAeNn9 1RvdaGAoylHevlyNJxUqnuWcJmBxy9z8XB4dz78UoGQ7d8GW8YVfz5yY6Jbw SLg3sAmTVb0OW0S04m4PLZuNnxl4+lytqQFfG1iHaoawdTPQ4++fvopCJtys q/AUcm3EhyJlV3611IMyut4PWWZCTeUHZc/zJP/3Z3dNplbD+smW6h0pFbjr pJhxoCWB26MGNvwmPU4x6m2qkU8BXl7LMnP+fhhYruOriSTncMVuf3oKmV++ eKn9a8EzbBZYNf1OLBh2bg2T1u0kfcrt6H29SgIGSw1y71xLA9P88tWfCCqs lzmsECw8Agb27xv9Kb0wfMlFLairD0eO/WYVLCvBrDpJwZwQKqzJNz5TGM5A J50PzRS9RugQMjnHODWGssQV+4yyDqw6abZiFEnFZss3wXZJo8jxS8Cl/no1 OG2PF7n8fgzrc++cdM+kQZhK6R2zDJKvt7om7LBlgvYT0TUC1mXA49Jcblzd DvY6AdcvV40A74/FN0Y5jRi86j+WsgE6LJyYeP1fO8kdl7V/TbY2A/veVS8e zTJw7x09bf4tHagkW15wnbsJhYRnPx09Q6BQ6eqtXWoEXP6XFSmsUIu/n9z/ ekO+HBYtrtjPXCaAxSPVVK2A5EgplgxH3XTwyK93DKGG4q7sky92jZB+w7FE l+gje0qfJ9pHQg08tFpCDmtGY6BpkOyqRgJ+M+9Pr8QSKM7pttp3LB/jlDzU W5fLgPHy0yUDWwLFXK1UbhFkz/LOdK9To2Dj2Pm3nOR+C2xNDNFwqIbHPgeN 1o90wwsP4+13d9AhptPyme1AHUomme4aI7168Y7kre1bGdhU3G6xi68TvHca dE7dYuLJSyZ2QbeasdxKyOdReyv+5WA9zU5joLSR78vJkhaoE9Mxyednoh+r dnpqKBOeJV4TfLi7CVW+2ga47mXAVpd674+fO6Dq3cRTG8Ua4LQcbP1BzrdK ooQnD8mfyczvnB1c5TAkOsy461WAsw+do0OiCbSarxxdriAgS3Pr9R/+aejr mle8XrMXzDL1aacVq9CmP9pgR2sxFJx4HkAhPXwTsYfjhTAVzZ9U+Zsk9YDB iNO+Dc/G8GakV0+dYjBW1RQ82aJdjNrJFWeD3o7j9q4jAgHnCPBY+LWqJr4C m/9J79U6GwYe7eH/RE2ZsPWr1MgHguShvzkr6cwgVDK2XPWsPQGUVBwzLx0c RV67kqkzeQR4WmyN6b6YDaLl15PdTlJhYOIwy0bVEdCy2TR7O64UU3avUUvR JyDYU5gTF2joPHHWc29/N7indPjf/8nEQ2n940OCDSgpRVEbGuvAN/cc6S+B 3N9Tk69on5uhR+/p4nryHMansow9DzCB+/ek+ov4FnTe5+f4ejsTXuY1KkVH tYB7R5fQbEcjtFQIiTWSvH1s8zjnU7LfRafzxT4frYXbCslZnRIVKJlZNX3a ikCjU+aX6pII2Ldl9WMraXKehlN6c1vTgTa7OGlD9knLW8OzdHKP7+ywtltm C4SoqU37OjlccSFKRMyb3PsdV++eUSLzcP+nbTp+pSGwP1S26a1/IYax3bcW DiN7OlKyu5zkq0rdlcXXBZUY/JXH9ibpw3fEhr2D6mmoY54mRTNHsHqw8+am WwSK/Mrn63lFh+uPtBV2He/GgJ0S3zYKELBu1vubqncdPL8umSz7qxXYRs7w 8fYwoHe1mzunTC9UqkmwjOgMYVJVd+4lZjL69uU1chM9IL7pRsOZoDG8+5Tv xjmFJrR925F6RygfPhh0yZ7gH0fzrXJhS8IELHAPW/hvSgW9Q63Rn42q8X3R g8PLRQyojdz/14OHwHsebGUrHxsx/iH3q4QN9TBhuPmCaQcT/jMPaN9gQXrR x9CcvLhy0Kft3qbyuABlmoue1GQSuHPXAekDtQQ4Ntk/uNyRijkNO/PyyoLg A6NwYaGFgK1ubLOz7QQGUfiXRe6E4PPDOx48q0uFT4oDxmtJ/+YaX5gdjCVA +j7FXPZYAZTNRXy8QpThguCdhdyXBEQ/t7dkShHYbjghycpai+5TwHVxdR2s 27Tzdd9eAg0kvnWYshNouML7sOhRPUjZBN02zapGB45jMd5k7iv5ipc9sifg hJrgajfDMuSSypZ/P9YLH9fZxGccaUTN1kMbU6e7sEz07g1XGyr0+3E4qv8d xclXBbE1GjHwfZblO0dnLbKZlYXxXx0ne1hkE3M1AcqhcVKWlHocsZXmC27J hxwPXa/EJQZEK/VdtW4lsHFwUVXjbiysUzl9xNDRB1vnv0t/kxvF5qChAZNe AlLuP1VvdHKBz/mNvZUzKShber32LjlPazVQrZLsJR2xPQf4vSpwR8WWqCPC tXDD/9vpI0oEymlu2vxDkACTW34l96zqQIJRGfXhST2K3FVpX+AgcHw4Jl32 GgEUxgmFjfuq0Yz/pC/XBJk7T+g9n58S4C+Q9EcvkTzPpe1PnFXzoc76fKey ZTa2dgkfHyFzW28u5/UGsvdyFHi0Ckwi0cLJa+2gYBRKW/XEcZF8H1P1sfsD eTuNyoisY6ey8dvG32Nv/fJAjjtFtjeFwPXOL5N2OhCQTov4J6hcBqVa1LBI 4T6QKKyst1LsQf8NU1O+o7WYy7JzVHGGCgkDr9cIchIYOG6tc4Pc30Gr1mc6 4tUocSwwWaGe5DnOK6oLUeT5FWrxro4uRh373XU3xTPAvr5RfyWAAI3Fd3Xc HQT2SPvtzG3Sw5TgdOPsYzHwrdPJcnCAwGOLL40ek/6Ql+Z7yNslDQZVdINt VhWivGjYHrtQAopscl6eIb0/t+Lg89Thagwqa2xnGtcDxc3l6KF1BJ4e/TL3 3YWJd0SO0I85NoGFuc2+/1LrUa/l3lEVVgKl91wYfKZBwJzTD8OF5mpkq47N zU0pgIAC8ecZ5PPWWBpfvaqKnAcuc6GegVRQWvPpss2BKDyovjJ1vY3kj3Wf f7P1kL0Z2vCGZ0oCJ8u6GhUKx/Bh7xGNVfH56Pot5WYsEYuv+/bl8vqMo6Gx joa/CQH6ex/Klq1kYVSidd4SZzju14o7u8uJCX/v27y/30gg5/pZR9WYfPTy 7dkREF4CghfHf178SqBiWKxy0z0CHka7aFkFVoB12UEdPdU6tBW/O352jgl+ F2TkNPYScF7iJ07p1OFWtmM7Flmqod/ZLpRTmwDv3xQj/UACJwPXnrhmUARy U5tOmRln4Y3ojY8kSwjskn3/JpbMSxGnv8Ob2kKwWjC96Y+UFg6b7Cx7SCEg 8qs85f+fp8i4d+GJYmIcTp4Y/Xp6MQGqxKXaJRsITPU4g2/IvPY2757yEc2H /VSBgeKcGlQpKOu4dIKA+uHpfc/6mdh/M7TuXFkDsstE/a1cXw/7fLjK33AT ENep6/mqegw3JLiYHf5RiSzUsfCxoFegHMFjL2E9jlca5dinDQlwHuZ36+8M xEFZljzlpBxkF2mf/3uLCbU/504PkK/PkOVcdnJrJepaRLi+e0yA3tFMpzt8 lajowrVW4UshODdbHWQJJCA+Z3UXy/9zbLXlf8d9ksEmL82Fvy4A7YYDPzeS PlvyfAeOdxMwU1izdNzbBz5SRCXj1iai9qyf1v//b0vqgmpVLcnN7lpK96eS 81H8e0/8w4wCWD3RqSpB8kH1i9+fw4/0gQX42/YJdWGTfMgbaG/Cna+49lyY pcJD8Q9fP94n8GO18rOyA2VQ9clnyb+tEHPvs01EsY+i3IXXhhtIrvpTPaB2 Kycd+XKO1dHf+cJs1SoW0TQCkq9NWWuSzz+Q+XmyUjAJGTelphmNefC8r+u8 XSG5z+c/cTwjX+eyxzn7x8tFkBzc/eepNwHHXyWe2dpfjHsl3m15fCYBWNnG +f0aCDgZkPBA7f+8rH5321SlE2jZq7GoH3SGE4f5r94jf35i/aZFS/L5tLGK IVEeD9dzZbjtc3tBNStEyievH8NWr3XgcCzEItfxCdcnVNiwVdPE3aYKrDZ/ ubhAnn/ZqapdSUkEPu9ZEDtzJBcGLibYuHvHo2nGGw+dXgJPPgy0VyDz1SzS 5fbR6rfI62W6Usjpj7f+HWastBJwU4wzTCyXQP8HRsJJRjl4VZqb4mFbDBcT 7ne2+xHol1nQ7/cfgT9E31yP8KwC/d6P5wwai3Fp75+z2t4EXtmQanIil4Ch ZQ/rbYE52Lil7qew3hhOpNUwhcsc0eUi9ZrSZBmuPdeh0+QwjqlxlOdsJwn4 clPwvtAkos6R3MuMhnjg4Rf/7HaVCeuanqsSTAIj138evldljxvfFl0MOBcO A+PF9U7HRpHHQaU4tIrkSPvHftnNKcA28XbKR68Idw5cVXUg51I++dWX/38f 6EG3kw0TDkV493ZytppZLjwcfjlwNpPs/X7uV7wtBKre876z61AsSBYd+Pwj NgQvGE4py5Dc81heOyeW3Eu+wE8PaeMu0JvoebZyUx6mnN27toWcDy7Xv9mu DqQ/RXQx30mXIf/dKWla/BiyX3PTfRDSgEmewVeuyhDga8svfIc9DubnNxkv BVZiuOenUbkxBjiYmVATtQlUUfPcfGkLgstBj9m6xWL0FkzJooURmOfEns5b TIBw2KmnhgdycOsz+Yxw21iwWh21WY/cj/VfrzWqknuke3RJX8TDGX/42CuE JsWBf68Q3Cdf16nS38c0c8h9ziw4orqQA7Zpbv84Yosxy9Xayoec08aNYxWG pgQQ+8eSeqMr0fbmy6u9f3rB4PXwj3u/mtCG5UCg3eVOHES+UfNIKlyJnZ5R CqhHWWeB4gYg+Wkl5NSzjcXAotYfVtXNgC1/Hj0/Wkng0+2sbR8sU2B0zUup hq1R2PJBYfiH1ChqyChIhvQTwNZ2L0p04z2UTucR8bwUh0J7RM1b4wiw3WTI KHMlMIexyq96UylmTjn2ftdFeLat6sbcTQKudOR3GAcQ+JbWbZTZXQR2LFLa /ot5KGSxWl87mcBE20PXZ8nrYlJYGXL6aiJOCiz77Pjlg50Ft/5+6CJArq3h xv/f1zi7NuBn++4U7Fetg8eJWbD/1u6iZXKf33XrtXj4E/B2Ncf+ENZi0GOs UxXi74OSLbbXtUmvMEzh409XrEGRLzQL2XEqhPxrcPnsRfrt2cSFhyPkXHcJ Fy4b5cLM3Sfdd94Q0MOioa9L9pjam41Xl/LeQvaSE81mmz/4neMql6eTfJhu ml7YTICk/bdA9X/xcP6/NadsS3PR7lfi5rpkAt5b/kqo2FcCz6WHvQY8CTCw u27sQe6n+c1TVvYvcuCA5Z9tGuGJWNVfQzlB8kDhm0y5dDJP54U4R7f89sCY M7LGDmljGLo7xdtbIAenNCWDv/Om4n5j//Bqv3HcW23vXUTmfaFhv31uax7O p8a6OVl4opSo3v5pZyZcoERzR5C5FPpin0gK+fseNTqWvpsKoUV7N7v/CoH8 g1nVyeT813udz1SYLAVtzt/bba3zMEqus3V9OoFL2+ZsosjXp3BKg3LFKw6V XjQOFF/2ALZJ19BD5PPkHG8XmCH5JNi6zex/FZv7W8x5FMcjmijK01azRReX rbFkFrE9bCeSLXQhklt3tmkVSsimbUwxU/uMZBJtbZkZNe0wMzWzTSp7Rmik Z9XqIte+macM0gXtTLS1n/0DzudyPu/zPq/zwwc+XURT/trkd4+K4ZbYnG1H uNg39Puvo1QUrDfZflFfK4cUwS+5jFrC80G9hqKARrSpcN8US/ouHS6LE+5k gMOi8vfSBWpsW3XSEMfoga4Aue20ahkEJpniLuJLHu7W+Rakrj2WeWtZH/Kh O3TySEweG+oE+f7O7RR+dB74UUx8ml4gmBE1KAZhsjvto30VesR4vj0vo4Al splgO3cCMyT1LJfXgpqxHdlxc1ows9uhM6GjHcpdDmQG7bmOoq3FwkcLepG/ iRN0vJ34TPIDy0q3EmR+u+38J7ssDDWNkCilRI+pq2zeEC6M9Vq99YZdNY4n Gw/qyT4xhWNrM/yqkFsXv3BKPhe0vuYiOckXZ0Oej2krhXRVSfnh2gt4zbPH PaTkCuSv/OOh5h6Fc/50C75O7rkwUSqJTlVALMNqpdW7Dlgq3GI1/rYDqx74 n3M01mPrm9HTfTXtwD2lzx0h/FVT7UqLCBSDkdtCX22RjZuPbTn1/AWF6b1z bwrI+Y2vLyedvJoLacZ5whO+5Zg8P6DgDPHdE86bF20OrkL7yFcrw2UURtOS OG6kf5l1xL7nj4mwOZKj/yHnJVYMNTpOOAoxBkX6xDolxvT70Dh8HSpNS5fU hBL9z5j32n7fDaQXWZk463mgk+t3Hj7WA6wMB81Tco7EKOWwmEbiP4fq2cNS SFfti7d17kWLWVeeS4k+ZE5rcmltcryUEHjrWb0YTh5S51URH8jcWerwK9Fv 1PIpvL2aY7C/iRZu+SIOWh8WRf7/f2nW55l6b6LPo05ObuoMIdS9jky371eg G2NukZj4WLx2RKsmfXFJd8OF2RtFyDngKpWMZILyt5Hdo2QO6Io9qysnPOlz X1XLrxdikUzt3p2oABZ7+SGRksLm4r4SvdktTNPOP87dr8MgutTw5GcFtE6X evnO64Fys8GfZKQvvzCWLPasEECxVNPKZIWhTWpZtNarFwfSrg5KiW8NMMLW zY4uBL60NZrOl6NpcXVz5DkKgsPkbUFk3hibGbxHfkQOSZZWy0r1EnSsuHP/ CVK4QTP9wRmim3Dd3KwtLnmYYjtklkA4ZqNffyXcpsBfJeS5EF4oMwS8NDKU OJK4bX3skk64MHDNJGLX39h0ra1tRvYdXLHuVY6roR2GTMoy2ESfxwvawndE qvCSjydzI/8qPFV+kTCF8HwX17HmHvG77hQhN6jvHB60D/lSsaMCAqyfeSQS 3ZqX6axJXkD8XcBfezkK8GZtb5rGqILKhbtbBGTd9DfXbVII/zZF8R+Pq4Xg 8ko80Wl7nnB5XKCexFfSJ1tuk/uERO2f1E7NgZw4w+KjDS8xvnO8umaZGn9P Y4YMRReg4UzXV9k8HRYGzto5SXi+wWK4yZElwbisTfIBphjft04fHUzrAd+7 Oc+WEi4/2v9Nu9siNcYkhPhZknxkei+/H/iwGrh9ToIVjyuwubRA0dRIob+Z mfkE4QFJg2xN/Ics1NwdbbkUwUd7erC1mrwTT8KttyP1xKT9M/Xf5kqcaex0 CWNLQXyjK+9mPYWiQtdhB79G4FnPVnkxKfgPwxlr4g== "], {{}, {}, {Hue[0.67, 0.6, 0.6], Thickness[0.005], LineBox[CompressedData[" 1:eJwl2gW4VeXaheFNiXQjIt3d3d2d0iAiiIEtAoJionQ3IlIiIt3domKLiJRY SLcocu73/6/Ldb53jGeMtVfO+c3FyfvQoHZPJkpISBh1b0JCrE8nS0jIkCQh 4R1iH13xnoSE7+hWiRMSHqa/wZ+lz+FF3Mrz3ufV422mb9KP6NyTNCFhhM4U Oin9AZ6T7iKzn+6Pn6T9l/CMfkb8XewWNh3bz69k/p7fWmh48oSEXHL9+N9a n4vHwDuvU816VKeN51CUnqZXmS5Af6L7Id4sHjddQX+Bub7+cf4W+Qesm+Ub 4rfw/vrJ6Uz0K/qT8PI6U7Fk2ELdXPwe/DtyXd3HAf4A8yk+nPCsfCbD6GB0 ZfwHug3+CP0d/jx9AS/mNh2vor8Sr4h/gDfAt2J/0wPwe/FX8Wn0PfQiPDfd 0+P4D+sme5D/qPk035LwnPvJLDcm7gebwTzIr2I+wm8rN0I/t1x//vfWF/jn eRd1qlt/0mnrtShOz9CrShekV+kuw5vH+0FX0l9obqh/gr9NPke8xvKN8Nv4 o/op6Mz0SP3JeAWd6VhybLFuHn4v/l257u7jU/5A8y980YTn/U8WubHYbWwm 9im/qvlHfju5AfQPci/Sl+RquL9jciXMM+WqmVfLVZZbJNdIbjuWU24r9g9/ oFxK82vxOeZXlJvBv5e/RP4WLy/WO3nC/z2wBz2nHu7jEP6YXhn6DL4V74EP p6GEF8xZ9b/ij5P/hzlLviZ+CK9GH8WT0+31X5HLo/ModsQ6GLusV5P/s15J 8yyd6uY18lXkFss1ltuB5Yr3AvuX/5hcKvPrcjPpFPRSuXzxOZL9jH4c/5WO p/Wi+7kPHx+Mro7/RHfAB9I/4i/RV/BaCsd1S5lny9Uwr5WrKrdEroncTiy3 3HbsDv9xudTmLJ7rG7JTsUqyA+hZeEr8Q72/+fnxPtZEeBe8l/v6HH9Cvyz9 G74N74mPoP2XMNicTf9r/gT5f+Vny3+O1TAfwzrqvRrvpexj/KPWIfyr8rX5 J+RLm+fI1zSvk68mt1Suqdwu7D/6CTwN/iY+m05FL8MLxGdE5gv6Sfx3OgX+ kv79+MRgdE38Z7oT/jj9Ez6UvobX8ThOxmfKPFeulnm9XHW5D+Waye3G8sjt wO7yn5RLa34rjhn8ynJz+Kn5H8nf5hXEHrImxrp6wfq4j8P4IL1y9B/4drwX /gqdUn+IObv+N/xJ8nfk58jXwg/jtejj+L10Z/2Rcvl0nsCOWYdh1/Xq8k/F e2eep1PbvEG+htwyueZye7C8cjvjYGYeJJfO/LbcXFYaerlcoXge+Jf0U/if dCp8qPt5AJ8cjK6Nn6AfxJ+kf8Zfpm/g9fyd0/G8ze/J1TFvlKsp95FcC7m9 WD65XVgi81Ny6c1ZPddRstOxKvFdpefppcU/1vuHXxjva02Cd8P76n+FP61f nj6L78B746/SqfWHmXPof8ufEp8z+bnytfGv8Dr0STwF3UX/tfie6AzCjscx B7upV5//S/wd83yduuZN8rXklsu1lNuHJXZ7Gs+Av4O/h6ejV+BFYg+Af00/ g/9Fp8Ff1s+JT8XuYvOwr/l1zaf4XeWeok/E9zKOm3INPJ4zchXM78vVM2+W +4jfQq62/MfWVvInefvl8lt3yyUxP6OT0Xyf5/2u3gysqvxAer5uevwT3X/5 ReNxW5Pi3fF++t/gz8bfp8/hO/E++Eg6rf5wcy797/jTYmNkfU/+G2M93dNY N73X+QVkn+afjO9IHKvkG/J/la9oXiBf37xFvo7cCrnWcgewpG7P4pnw0fj7 eAZ6JV4s9gr4t/Rz+Hk6HT5CPzc+HUvk78zHvuXXl/uF313uGfpUfI7iey7X SO43uUrmD+QamLfKLee3lKsr/4m1jfwp3kG5AtY9co29Jsno5/Qy09noMXH+ wKvFMZNeoJ8RX6V/h18c72dNhvfA++t/hz8frwl9Ad+FP4Sn133Fmkd3RnwG +e/LfcdvoHOG30P+Wfp0vEfxfZKr7LYQbyi7Da+Hr8Tb4p9i97g9j2fBx+If 4Jno1XiJ2CPg39Mv4BfpDPir+nnxmVgSj2MB9j2/odyv/J5yz9G/yL0Wny+5 xnK/y1UxL5JrZC7kOW6X/RhrFXs9ur7eKnM7vdP8Q/IFrXvlm+DJ6Rf0s9L3 0+P0Z+HVdR6nF+pnxtfo/8cvGZ8P6z1xvNH9AXtR9xJ/N79v7Kt1Rlrz6cyK zxv/A5kf+I3kf+P3kn+ePiP3erx/clXdFuONZXfgDfDVeHv8M+xetxfx+/Dx +CI8C70WL0X393eSx/dR7gh/sNxlfia51/j55WZjyeQWYkf4jeV+5/eWeyPO TbEX5f9qfSP2yrHP1Wli/UOnmnmJThNzYa/PTr0VWOvo0Q1115g76P7C/1y+ kHWffFM8BT1YPxudnZ4Q5228Rpyr6MX6WfF1+nf5peMzY703PvO6P2Iv6V7h 7+E/HHttndetBXTmxGeQv0jmR34T+T/4feRfpH+TezPuO/bZbkvxprK78Eb4 Wrwj/gWW0u0l/H58Ir4Ev49ej5ehH/V3UsTnRO4of4jcVX4WuTf4BeXmYsnl FmNH+U3l/uSn9Fwfkn0TKxT7S+x361vYxdgEYk2tf+q1k63hfj7UbUYXoXfj n+BtYr9NN1ZZZ+6kf4Z/WL5wHMPlm+Gp6CH62ekH6En6c/CaOkt1s2EbdMvG HpOfMt4PnZ/4Q3Wu8bPKvckvJDcvGN0MP0v3xV+i/8DfphPFOVxmGd5cfw/d BF+Pd8a/xFK7DcUfwCfHNSN+P70RL0c/5nGkko+L5WP8YXLX+ffJvcUvLPde fC/klmDH+M3l/uKn8hwfln0r9gCyfekh+J/mUXF9EvsvvJn1rG57vJb7+ki/ BV2U3ouvxNvG+0M31d8Q1xz6v/K/iutx6wH5NOZhujnMU2KfxK8lu0wnO3+T TvnYY/JTx15B/mf+y/I3+Nnk3uYXkZsfjG6Bn6P74UPps/g7dBK6tsxyvKX+ vnge+MbYo8e+G0vr9jKeE58a53j8AXozXoF+wuNII/+U3HH+cLmb/L38frFH lh9lLSr/fZwb5FJYl8odx1rqnMdSe10e0XsbKyL/MD0M/8v8blwzxR4Ab279 S7cDXsd9fazfii5G78dX4e3iuoZurr8p9sb6v/G/kS8a50f5dObhurnM0/Tm 8WvLLtfJwd+iUzH2mfy0sUeQP8EfIX+Ln13uHX4xuQXB6Fb4Bbo//jJ9Dh9N J6PryqzAW+sfoFvgm2MvGftDrJi/8ymW3jxCLrd5epyD5HLSW+Uq0YPk0uk9 I3eS/4rc3/x9/Edivyz/rrW4/A9xvojjj/VDuTpek5N4a72LeBp6gO6o2Gfp 9KOH4+fNY+K6MM5P8Vit5/Q74vXc3yf6beji9EF8Nd4+9qG6W2KfFnsvueJx npTLYH5FJ495Rhzn5XLR2+Qqx94AP0W/it+mc+Cj3U8JfGEwug1+iX4UH0Ff wMfGdTZdX2Yl3jZ+S6Bb4Vtj7xKfOayEx/EZltH8qlxe88w47snlprfLVYl9 rlx6vefkTvNHxp7Lc/wH24/1j30DnVNvjLmk3pE4R8insi6Tr4ufxtvqX8bT 0gP138GL6TwSv0vhF83j4jo1zkl4S+t5/Qbua5VuO/Mh/hp+h9hz6myz9oz3 VaZknBNlMplHyuczz4rjjFweeodc1dgb4L/Qr8VvCHQufKz7KYUvDka3w6/Q j8W1NH0JHx/XJXRDmdV4e/3P6Db4drxXPHeslMfxBZbZ/JpcfvPsuPbg15Fb JZ+Xv1O+Gv9pfoY4x8uf4b8uX9lrcgc7gA2IfQydW2+cubTej3FcjuO89SP5 evHbDN5e/yqejn5c/93Yu+r0j9+n8MvmCXENHueh+FxYL+g3cl9rdDvEbwn8 tfyOsffU2WHtHX9TpnSc/+L3DfPr8gXMc+LzLpeP3iVXPfYD+K/0G/h/dB58 vPspgy8NRnfAr9FPxHUefQWfGOcXurW/czH26rJr5Tqav+C3k9sp10fuKFZG 7su4XjW/IVfQPFduPr+u3Br5/Pzd8vEDSo24lsAyxueGHqz3G/5m7Hfpu/hB /NHYo9F51SaYy8bfi2OGfBrrcvn68RsN3lH/Op6eflJ/NF4i3jPsqnVSHMvj c8K/FHtj97FOp5P5ML+93C65h+R+wu5zexMvhM+L9wIvQO/Ba8ZeAP+dfit+ Q+Dls0zUL2deFozuhN+gB8Xek76GT47jG93W47gce0bZ9XKdzV/yO8jtjvO5 3DGsbJyH4/rI/JZcYXMOz/G9uK7D6smu0ymI7Y19SZzn49iFZYrvQ+wLdP/A 39atGr/Jx7UMPjD2inR+/Unm8vHc47Mc51frx/G9j99r8M76N/EM9FPuf0xc K0Qfu26dEseU+Gzwr8SezH1s0HnQ/BW/o9yeOH/K/Yzd7/Y2XgSfj6/HC9H7 8NqxH8D/pEfhiXkF8Mn6FczLg9EP4rfop2MfRN/Ap8b3Lt5Pj+OqbnPZjXJd 4vcD/jp+p9hHyu+Nc4v8cZly/K9jz24eJV/UnNNzfV9nAVY/9mn0Br3C+H69 xHGuj2s3PHN8P2NvoH8WfyeuJegkcofwx2LvSxfUn2KuGO9vvMby6awr5M9i XXT/xp5xv2P5pWK/yb9pnRaf7/iM8K/Jt9DdJN81fkPgd5bbF8dyuRPYA27v 4MXwBfhGvAh9AK8bewH8L/pdPCmvED5Vv5J5RTC6K36bfjbOx/QtfHp8DuI9 9Tiu67aU3SzXLX4ziPeS3zn2kfL747gnf1KmfOx14vNrfle+uDmX1+SDuI7G GsS+kd6kVxQ/GHvBOLfH+QLPEsec2Avon8NH61eP3xHi+hF/PF4rurD+NHPl +KzxP5FPH6v8Oayb7j/Yc+53XFyDxb6T/7d1Bj8jvxP/hnwr3S3y3eO3A34X uQNyA+ROYTndRuMl8IX4ZrwY/SleP/YE+Hl6DH4Prwg+Xb+KeSWWwd9ZiZ3n d5f7l/98nDPo23Iz6Uzx3srdlGuts1WuR/yGwN/AfzD2kvIH45pd/nfeabkK 1m/jO+A1yUWP0StJ56YX6S7EG8Yemd6iXxw/pJ+UboC/gGeNY2LsDfQv4GP1 a8TvCnKf40/EHlp3hrUqb5VcRv4quQv8Hjp3+C/EMZn+R24WnZl+UO6WXBud bXI94zcEfje5T+UGxjU2ltttLF4KX4xvxUvQn+ENY2+AX6TH4ffyiuEz9auZ V2OZ/J3V2EV+T7n/+C/GMYz+V242nSXeW7m/5drqbJfrZS7huR6J7w7WRXYI 3V3vUFyv6/3BPyNf0fpdfCfxPPQ4/dJ0HnqJ/iK8UezX6W36JfHPYw9ON4pz NX4fPlL3EjZeN0Vcp/OfjH2zzixrdd4amcz8NTKX+L3k7/IHxzGDviM3h84a x2PZHXjv+L2A7oF/Ftf0cY2H5XUbj5fBl+Lb8VL0F3jj2BPgl+kJeEpeCXy2 fg3zWiyLx7EWu8zvLRf/QPiS3nh+mdhLsv6zzpW/Hs8R62q9Hdek+jt1+phL eh2OYpuwrvJD6Z66n8d1uu6f/N/kK1m/j2MOno+eoF+Wzkt/qL8YbxzXIfQO /dL4Yf176Cb4YDxb7At0r2ATdVPhh/mDYu+sM8dak7dOJit/ncwVfh/5ROYh 8fzou3Lz5LLFMVl2F/4Q/hPdC/8izhnxfcTyu03Ey+HL8J14GfpLvGnsJ/yd +2O/I3eVP0kuNVZKbi6/lnl97Evk1mNX+Q/JJTYP1Z/ALxv7Sn78g+B78jfi PuP7ZP1HrpPXoKP72I33pUvRx+KYhXfTHUb3Vj8cx2H9s/w/5Ctbf4hjIV6A nqRfns5Hf6S/BG+is0u3LPaVbjP+EH722CPoXONPjt8RsNJy8/i1zRuwbHIb sGv8vnJJzMP0J9KJ6Ply2eOYLLuHfhj/me6DfxnHr/h8YAXdJuMV8OX4brwc /TXePPYU/s4DcR6Wu86fIpcWKyP3Hr+OeWPsTeQ2Ytf5D8sljWs0z/XleExY udhPYomx93Vuxv1i3a3/ynaOf6NyP3vxfnRp+ji+Be+u+3L8Nqb/VRwP9P/i n5WvYj0Sx3i8ED1FvyKdn/5YfyneVGePbnnsG90W/GH8HHHu07nBn6qTDisr N59f17wJyy63CbvB7yeXzDxcf3JsYekFcjniuCy7j34EP0H3xb+O71Q8Vqyq +/kRK2yeKlfJvEJur1wF+lu5lrG/kMupN0ruJn+aXHrsS/5Tyf7//x9STud/ ZtxDvg== "], VertexColors->Automatic]}}, VertexColors->CompressedData[" 1:eJxMnHk4VV/Y9yUiJJl+SCmZkkopqeRWSYTILEOUhJKpkKGQKfOUmShTSJJM mZIkc+YpHNPZZzYlleo9z/O+r8U/rutzHcfea6/1Od/73uvsvdcddW8yMjAw PGFlYNhM/52S/D8/BGD435/5//ebgaGiz0Kc9xcBpptO3Qt8RlvnO/Xk5Yqu E+GR6g0bijzi5MU3wwZNRCjOxdef76euc+d6jR18YiTYP6IVEnAf8TNdP1oX wkhg1prVmbcNcTcGtV2TZBKIJV/xriqirPOVewULJAMyZIvR8l6dR1yG/4DR tloyOD2+ey58jLzO24e0DZR3UaCzQV3FxBvxd+NB/dGBFJit5m5i5UWcbct1 6uIcBaLjThTmlpLWOc9V0yR7VSoEg9Kmw3qIWy/YNP17RQX5/KP9ySTiOt9b wP8kl5MGD2j+XEuhiIvnDnXZu9Pg/lLDl0OiiI93VuapjNOgpnVyQf89YZ1T /TuDtn+hwlW90LhtoQRw3sRWunVSDbrrv32ZaiDD39czhuxOBJBj/4HTemYJ 8QaVOyxGiaDGxF/WZEQAtWDWVCkDe1hJOdF1oQODhs+NJW5nCNBjEd1k5eAC 7Qx7Kj60zAEbg5T6i30E8CJcKXmZ6A4h9b0vZudm4Ndha68wdgJUknFnTtp5 w/hBmS1uY1Mg0LVT684CBrG5v1z0v/qCwHdth+LlSRi9WVDJOowBXxzpv5Kz jyG6qurPd5lxcHJeqBf5gIHuiRM/WnICQRYT5rAVGYFj5Lc2h/MwEAltmv56 JgSiW/jFpI0GIMNCK+9XJAZKgiezHr4MBTHWq5KfzvTAMeXrwXX3MFgypN3e qR4BOjsm/nI5tkNGwuHNf65iYKXJ4Hx/LAqw+ycaT1CaoGimV+DHOQw4wftF 1d4YmDxyoXJPbBUQs5Y6CFIYyB8WfCrrGAsMD8liYnXZ0GZIFE7iwiCwdr/j g9y49evwyP+f+KdRPExlJut/3vVinVMe9g3duYoH/djjTuK3qtZ53JWx8Drc HAzo9l4a/q9pne/R0bIgWczB/s3iWw7vbF/nc2ILso0zs8B7N13BoO3rOm89 e5jz751ZmD3/+LWmW/86fxo6wMpHmoGtr95VtzkNr/OklyVMA84zEC7dmm4u +W2dP15e2uVCnYZX6U9D3ydMrvPw4K9nXR2moSZlSeJm9NQ675zH2ez+PgU/ ss4dFrCdQesv0PRltssUTC5WbIq6NbfOjRZYKH2rOFjS2q28/QK2zvuzL5+2 98PB211Hr8kIovl+OuBv7si/SRA8cUdtGx9af8MncTzfgybh1dXE9B9UtL7/ 78//P+552H/Ce2LgC309XN9V3diF/EOIuyRjeYgIJczaDidvI755370tfnFE SHATjxPYgvih4Yf3jy8T4XaDkJh1DvKP8ee9dzcbk+B8j/uBhLOIj+BFlm1r SNDw5kGO7Dd0fOWnHrDY7CXDjMWeWDkPxKM/2Wd7PyEDW9+h78JciHu7nxmQ oJBht6jZR5cidP4Npref2l6hwMiZQ0xH1BC3dFnGnS2nwGnJnAqjaeQfzhKL j8X8VAgnnBog+iNeI2516LgnFcZdFW5biyDe2FEnoTdOhaG2ERfV9+h67Mt3 L2I9TwP3hb2UaEPE/atb3g8W0EBgovvbByrykqai4J6xShpkjKVsYk+ge8av qqn9owRY7DWU+tlEgSK/E/c5fAiQEvbgss6gIZSytTns6SSB6FUfZuwGAZS+ PFI67XkTVFbd56/0EYDJ5k5p+iW6f57zcq8kOsJUx4GPm9vwMHfj+1q4LAHE xJyrAxnvg9Tkg1e9g7PAKKB6PfE/AoiQBN2dGTyhbOVf3yvcNDz5BzNefzEg p5F2LDA/As8ddSdjMRx4Ck37n5rFoF/Y9YL/Vn+Yt+Uvj2eehFySliIv3Yty N2OCa1wDYFKHxHRYYgx6inXjJMswqJz0cehYCALLIUEB9dNDYJfDwMKXikHx 14fn8l2fgLFtZY77pT6w7TJKHPPDQEghfovWzzCwbrHuzT3VDbYktU/fbmFQ 9NX9bktsJGSeD7MUK26BnNpNnL8uY/Ds6N+Dv4KjwZbl4Hax0Qa49PGG6/xx DPZVXBK+3xIDTpXmN5NX34Dp2t3vDcIYWLjtZexno3vpdIr6qEUw5JDOxhYx YZBW2iK9DeLRfGSw/yeQiofrR85GMHm9WefKtkOlfLvxwMDpvqn8ZgNad93x 3/Uz54DlgLdUgGDLOg849ezzwN45SKK9fk8e6kLrQy5aZDJ/FtaMuZa7M3vX ueycf9hWmVlw9RA+Hu46uM75Uz4G3S+eAfoUKOLVHF3n27R1d4jJzsBKqaeJ vfTEOmetm3q9+Goa5NKajKPjcOv8YI1Jn9qRabi6e2ehkvf0Or/+fncI7u0U 3L7kk9R7a3ad574/0lZznM73kPZoG+LR8WgciBepxUHv8fyuXYfRvA6Jl3B+ rowDG+muXuH/0Lphm3D8duvjJEy3bHJlZETrmJw2/8Tz/CSYvGrr9PpBBSss VLHyDQFOvuE0x+GRZ3TK+qRO8RLh0myT07VAxLef7k/j9yJCmEXTmv9uxDlt kvIujBEhUm7Tol4t8o/1x3LgUCKB/MCUSYQp4uGjYdcOZpOAs27bqTvf0fEl pFty72MhA9OaQrBbLOIq6WwaZY5kMFyLvDy7H/E+1TJ+oX4yNOvO+j9qQv5R TTG/r3+CAvr/TotduI54aH6tKSGdAlwLo2dKfqPx4jCdHOr+S4FIpaqGlhTE 6TN4WtuSCqUmp8vVTyIeNxF7f38zFViqt4g59SL/iO7/nDIoRQMPp56/H5wQ 1yvpvrA3hgYXCS16HqyI2+KGH8MKDY5W1vNdfYGuq4RurBHTRSr4Ey2ZIh4T YL9qfVzBiyugfLMv1e8iGbiYjxT/tKN7yf50dBPHDSBLCGwaMiKCxPGzckeu EAAXH2kYtXIH7pQd+SKmiUEv39jAphN0X33wrV+qcAXvec3SSzpzsIWjwiB9 F92HxHdx29o9YPeoXY269Qw0/tfzejMzPXc1zUk+rfCBYpHvIgHXp+DLvX+3 9EgYvMHJm9128AOmw29j9vpMQoOUtydnLwZi3nXa5SOPQSFQ1y92/zcQ5Xr+ 8kU1BszhV4+2aQSBmuXOWOODw9ClNiIvmoUB/tVentqhEHBKws906/TD5kTd Z7dD6L7Kn+u9eSUMVGyv/Tmu+BU6nxpIXL6LgU68HGWBEgG+0u9ep0S2gmhB UshvfQxsZMBV6HQ05CuVYgdnGuF3785mV0UMBLymr/13Pwb23P/Kaf7pHYhq v7HqF8WgVTe9jbE2Fnw59H6MPE0Bhb0JRs/ZMOBW+Kn5cRHlqJQPZdyO7/Gw vCnyBLa1EM1T14ELZxXxcGowpkpNsHady8cofNj6YQ5odXlVxQLN61z3wgq3 lfIcWD0gTm771YHyVZGy1NfmWfCdNuTnKe9Z52s8w+2PNWfh2Li2C/newDo3 5O64+Kl9BmzbPeWcLEbQ/PLexP5HZwZq7z7/PS01jtaBCcnmaOc0UIVfLYjz IS+NZfGxW2hPQ4QZC+HKFuQlAUPfH4/6puDIysT0dzzKUV2ZqtWy+lOQ9eTK Dto4ylHyGcnKv0ZwMHt2Opi/GuWo4rRThluscMCZ7ZssloTm+/MjJ85l4f4n F1V8Cw5D6/IGCes8cXMSNgUcKT/pSoX5QAf/7zgCFPDI/JddgTzj79pwOEiN CAISw3Y8VxD/wcbjRCokwovIoP3FFOQZHc2b58U5SKChdczwXgTil9rC0345 k0Cnk+NPhiTiUstvQ7L7SOCSM8v1vQl5ZmAwZi3/NBmaPrCkz5sjPk5p/aPy ggw1hZ2p+ivofMTym5/KMVPAbaFns0084qd3PXjnfZsC17z3zAgfQvyY4gHb lE4K2JjfPfKvFXlmB/O3V+GHqPAkvobEcRvxaHbrB0LxVGCLPL7nETPii++J g94rVMj/VvxB+AUadzFJqbqT5jRwc3EevaaIeElTw5HIJhoQ+4Zusfcj/6RN uPZ+V6bB78TYSxzRBCBbKUyvRStB0rzgT8o5CvQLcM6FuRFgpVtu6wqbGYiV fIB6fRIcf/3FbMCc7iWpJvIb/C1I+zI40aZDgKmExCNsKgRgM+6wKRZ2BmO8 eO2UOh5W33DuE5AmQEeQ1bv/tNxgqCs33+zaLPzd1383Zgf9/5J8rvYf84JL 3AmUHdemQQf/SmD5BwaPT636SEj7wqXNwXqZd3Eg3dCcvneCXmcZvT6UnOMP lReWyrYLT0BYschfwc8YnL9sXd/IEQgBwgEhbaKjEKC12afwFQZ3j2fldyUG g4eOQMZJ9UHYzCg5yPIUA7fvo85xnKGgrPDEZrdKL3SymEdpedHrrM9nTx7L CgfWK326h106YfNZRWsHKwxYt9fQMk5EQYOZ1Y7ijmbY/9U+blUNg0GFWmy4 Lxp0MrVvH8uuhZTSwj0OhzE4uPRmqGcn3T8/et0LjYog7qXMkyJ+DBaScxTy jJF/zCOzGWJ/4kG7w/vY7azEdf4VRMiNnnggWb3/y+v8bp0TzUZEiP/m4Ias eO5npUaU37kW9mc+moM9iTqJJkKtqK9wWM1bc/MczJeeapsd7V7nMdUT/LTQ WXDq/PI1MqwP5ZZKmUtR7LPQyE34ccBlaJ0P7q3+JB49AwfZmcWrTo6t85a9 L/7T2D4D8V4vTVf5UB33RXRktTRiGrx2jtX/2oHqOJ+B9HQ5nmmQnjzkcGAR ealoT63A+bgpyMkQ0nqDR3np4YDwmNp/dF9VBMi+7kB5aeVHDV7lGQ4+7Hf4 Tzwbzevr4dzhSntwUFuyi5MvAa0bl/B8j0M5k9Aco8nqs6Eecru8qlK7dxKK Bm7ia71o8FeZm5SfQ4B04+Di+SXkn4AmQUlJFiLw9z9ycYlFnO8zsy3uLhEC e+KOVEoj7i2T06DVTYTdDstDGl+Qf26f9cvnOkICWWOBhRDbDTmq/+zT7Un0 9dVkxBS6CfEt2n2Jm36RIP7Sp01Jz9BxCz+5urubnnsecoHXF3nEHxXTynm+ kGEn6eVUYPeGXFRlePOSND0XTZ47pu2IeOb55wK1MRT4ZfDDd4xlw+tls6Zx ixTYbrf6riIXjeOf9rEz5npUSG+vMVVURdwbW0vjrabC7jdpawETyD9ZBOqO +p00+Pm6IHjEB3HFwj421QAaWFCbIvX4NtR9xl/4zhHpdd/Z7sdGr9F1DbWX pW0NoQI147tGRxA9/6g23XnNcxlCuIePHg0gQ/BIqD+jAwEqTwme3DpgBcpK tltTk4lQkVa45KlPAL7IttXRnNtQkndM8104Bl/udp1XPEXPXdGsjQXcrpDr UX4sKHwOWIMctTP3EGCMsPn56BEP0O3YXZKYMwPj+1KfXmQlQIvxzNFbXD7Q ksvF4/NsCuazIkauUTEQaUrCXxPxA85Yv3/4ykm4fDEumX2AXgex9MvJRT4G a5EgUCn8Bl8avpThaun1F66Ft3U1EI6JCWtb5g6Dv9DnTqlsumeEXb0uhoWA r+yjgD+9/dD9S3vf2zAMViajTrn8CYVjlWaxf2q+wibSqGGQMwZZ92OKglIj ANt1abD/YRtc2zNzYc0IA82XE08LeKNBbeRefyn2EfTH3B3fAQY831772WrE QLRe2HRdYQUEevQkTohj8E/ZtEQwIRaUGTW6Q5iygFFR+VT6NnqO8txhkdGO fLVN9KpwCr0O1vzK0zzIk7fOzz0w2G6kgYeKsmneE8rv0bx2ZpO0/joHxJAz jCoCn9Z5VWuWQq72HFyoC3bNYEN56TGWVPSlfxZapTwly5RRXpqWDqA0mM0C RwwhOu076ju5dV6RoozOwDtFgR/peNR3WuEeDrazmoFMzfL2Pfmo7zSb63hO d3waNMz31s33I1+Vxbvm2lpMQ47Xn2DTNuSre/uOHO6amQIuzZitLPkoL13n +frG/sYUnKsL2AovUF5q/tydgCfggPqZYSb2EcpLjZlNagrOOJiwNPHON0bz nTqSslw7PwmRqTviLumg9ZfBfdOZ320SjBxnXgocoUL4+LLsHP3zm/N9tu3b j8gz5Y+ZD7meJsIMX/xtCQvE/yScP13+jAjpjIYW0z+RT+q5XcwOMpBgNEjy zJ1kxHXVjZj/WZPgks65+JRjiDNQ7eqCWkiQVHh4lPsr8ozqE2b/YHq+0eeK /4/7NuIVw0JfLRPIMFX/sEVhM+Ld2xnlD/4kQ+uTxBt3MtF5PlR0yXGxoICw ueSyxGnELw1uF7/bSAGdxif3Dgwiz0SNpFemi1KBvf735G83xHOTpnolg6mw zFDxyZkb8ZEm/X+3iFRo6FNJOfIajfsLvPbxvTo0+PFG3dpDHfHk+qaVUnoe 3TTS93wOh/yzHNH8E/OmgVY1fy57HL2eiml97vzzGKyxVkYvPaaAcsfzg+0P 6LmoeODAPmcTsDdvHnCMIUFRwL4jE5YE+Lia9XSlxAbmJyWxyFgCuP6l19EX CUDPohX695wgY0RK2TUUD1Q2xmjdgwRwMyBUdObdBwZjrgNJqfTPw4wI23he AgSS2mxfpHiCL5MG7lrmNDgsuf098ZvuB1bqFpFXj8Ay9LlqciEOdCn6XIem MLh1akd1hJE/dLNHR6fFTYBAh/yu/1oxqBz2fAENAVBSXqHqkz0KB/5KhxBK MOAL2x7WqRIM1ryCpmcbB6G8l8eRMwmDxBsHR3Z9eAI63Xu2aHzuhbTbV3me PsSg4x/xmbJWOGDznd51rl0gn9AYn2ONwdV5wddys5Egq7OiQKj9DLculuv8 1MDg/TtzdvviaIge7FNRelUPi9UsrcVHMZAyePhr3yK9jht5EX2CuwR+9GjV lwtiIBlyY1fdEbp/kqSoo/NOMNad+PrNJgxwjiWCR2+i/tL5zKbvFPr4lav/ /cTh9nadx183IfzjxMNZkc5eJd0P67xwvjHqV9QccFjNTVAFv6DP1XdLWTHc c3Dd4AnvIWuUl76vnEjFJ89CKQ9l6jA/ykvqXYP27TtnIfWTP//YIuovrXxT ytV6NgP+Xs+xuUbUX7Kv9IyvEJkBnn6bkIOFqL9k62TR15M+DcOmOuGfelAd p//lt4KS6DSo/hPjOF6B8hIL1UEn9sUUhCy3uTTmobzEo57X6y8xBa2kCql/ MSgvBe5dPnO0GAedr0Nds+zQvL4XnfbQSRYHTx1W5pMM0bqpPc5xQKNsEkwO 5tXCGbSO39y/h089OgmMjQKjaSdp8Clqc+TnWgIMbE1g7xlF/tmVHSWttZcI Pt+3Omp6IM72OvurRjARYojLn7W4Ec94FhZ5BiPC2s9t7GZvkH8sLpAHWDRI cEb/VWPMZcTf4vr3a5SQAF/x0fEyAR2fBJkcrsJLhnuvijgMAhG3f1PtnuRN BllsfO+mXYhLTXi47cGRwaV6z74Hlcg/TF7WgRYqFEjYfZz3tAHi97YNZ/AV UEA8vOHXYxoar4hAkc56Nips4/VsG45EvKd0IuScAxW+zFVxGckgXjggdVmp hwq0RicN088b6mfbZ/vmj9NgVfbX/Zc3ELd/1+67lk4D2Zl2gfTf6PplE2+r di3TgPZ3tznb/94vpe0uzVlTajy5XP+XmQr88u01mr70vGQr7OxzRh9+VXQx fWUjQ8rhweF5G3peSjbHPzpvDUnbW1Z5+YnwtGPABa9FgOLUK2XnLt4FqQ+H VOPZMRirwew+y9HruMXVGkXze6BrO314O+8cMMX+NU0RIsBb4q1AsHkAGFbW 8lt0BnLYt7bWb6L/X1mC8EeLhxCfNCwTJj4FWRedv6ti9HrtX1+323s/WGub 2Wd6dhLk2G6a7ujG4OV83u2TkgHARdr9cTJvDDyveWbcrMDATJ6s3Z4RBDpp Qv06ZUMg7E7J2JlB9w90FxyVeALWDDoXsjv6QF7OYKdYIAbWTmccTHLCQF/g uu3d992Qqtz1ne82Bn9L+w+aK0cC14k9IdcyvsCMnFbbryv0evN1hk6oVTSw vqD9zp/4AC/a6oWPnsRgt+B/Ss0ZMdCQ8N+p3+NvoU48+kCbCAZPrSfmSNOx wMDHdTlbNA4ct5Dv5bFgYPR98jQmgLwkZbV9q0ohHsyOsr5c/Ve8zkkORt4H DuIh/SdYXF2sW+esb2xMX5fMwdLyDmdBwc/o9fWXKDuPzIH3Ma3LPoTOdV7j iL0YqpgFpQw5ZpcDqO/N/+dgkariLOgfKNdTXEb9JXlDtVvptTOw0+yb47l+ 1F8qmd0fGa08AyPRkdJ5L1F/KY/9Vhh33TREjymIm+ojLzG/rnDUU54GlzM7 LqmdRV6qDemql22agsuZh+pmJJGXTh2qaVxRmQJWg92Cz4SQl/LuXSdytONg 6P2nAynLKC+lJZXc6NPBgTw+rzxzEK0Do5DeqICeSbhrbSb1qRmtS6mmOzIm +pNQmPSw8eo7KugdnOtlohLg4p23n+ILkWe0b3gdSTYggqb8blsGFcQXHk5l 76kkwkuhimUPHPLMZKCx9C4BElTznHX09kNcRatRbuUhCQw1B2++EEJc+9cf 3cZJeo56lqo6WIk8YyOx271VjQzHXL1Eu3QQZ2L0kt5fQoaExN2OTgR0Ph7K Yd9P7qCAqAln9rUQxFf/PPoURK9fn6cK9nHvRVwkS7WweYQCXqu61J465JnY w8IvvE5RgdXeZ2XXNcQ9H87u3pZFhT07yzzDV9H4bn3rWxLDSIOYOQECSyLi 2TYMF3XtabByNFn34mHEP3+puWP3lQa9XWMysi3IS6pH9r5iZKZBwX1OGkcE AUQEe3eo8KrA0SEvK2wTBeytH2RouNJz0VL0XEu2BYwx1uZz0se5ftgxpOMq nRvNnXfYbQdqpcGDrNsJcOXwQecGZQI4jxbzsX5yBt5l0VO6W/GwyWRn+TcJ +vtXDpdaLrpBycUzEnv3zcLaS+H7kZwE0CUf1mTp8gL+PbifH3dNw7HRmaMl 9HkW4vTAo9bHF45637bMO4IDxjiFA3xjdA/c13qRveQP+Y8Mh/2zx+FvFOuE cBMGLY1aoxdMAsHYX6dVMGsExtJGnR0K6HziaHM3MRh8w//DHekeAB3ZU7Ap lu6r4NCtW81CQTZzoXmhoQc2ZV9j3+KBgVJUUo/k93CQejMslelEtxfpndxx CwzKD1rIsoVGgaVdO8Hl2ycgXRUZ+HEBg4X3ws3qv6OBy641Rjr1PZwt0HY/ IIPB0ZjZcr8LsZB5yrITH5oPh3zZ9Z7zYFBTiNeLfoTqtbusunGFRDyEsgxR vakZ6HN14sFUoj0ewNPjxK47FetcycjUsG9+DrLPenvoHPi4zi/LijRdcJwD sY7qy01CbYgXpBmyLM/CQy6yX7oe2idw6GFw7IrXLEg+yW2gMKB6zTvLb7/u 7xmYuqY97LWA+kuVN4/P/vGdgaGUW1ZhJai/JBHWljL+dxoywkWWTAxRvSbd b7Arzmcado/eWjp8BdVrudPAuJ9pGrZ/UOjcexDVazp6HLgl/yloVrOTzJRE 9RrxRuwMJ+sUxPtfUbi2FfnHpjMwxigaB5UvtN/nj6N5fTkkJJmDCweUJZUD Mf1oPUlMqzTvSJgEhZUF3eq3aH2flvR+Ps41CYak0qXxWhpoUgzOZT0jwOWi 80arPzfkH03F3HQGIvzRNF/6nYS4wLaMjmZbIviH/27rkUW8LOpAx5VWIsxt vdt+sQv5567v3FisNAlkBN/WbHFE/EqPcAlDLAnUP3sTklgQr5OMHHFaIsGY M3u9VC46brZHjKwWZmSIFkqMOb0h/xlc3xbM9ZEMF06Ecz8ZQP45oK5n/mkf BRx1VBX77iMuHcP7IzeMAk6sgc8Xt22o71I32RHJ9Prub6Ls6yI0jiE8wqRp TSpwB/kUv9NEfJ78RpatjAoFRXjbqFnkH9wX/46jfDSo6uJvtwnY0PfON3QY 8qEBcf6czIediPvxfLA4P0MDwaChU4bv0HWtcftXHZ5PhX0/6x0dQgiwX+xW 1NgDDZCxM30Y+pwM5z9VkIPuEmBFNCSi8JQVENWjI7yrieDbPdkrYkjPS2xE df8/9qC/tzziTxEGF3aqew6fJoCXu+b5LQ0uUK1I+v6iYA7YPmq07xUlwEuC 9MvGGXe4o/rzpVLzDJBfPgohbKV7T/SGQneNN+jbZ4T/rJ2CgMo+njkaPVe8 Uz94ddUX4j/ayrcNTEL8wO79oYN0rjWZs3DrMfiSn+3eRf4Gu5LNq33rMfDi YAhS7woE2aC0gzNTw2D6uFaoKIde3/Wmvg63DoGAtUt9cXwDUF50edYwAgNh nxkHj95QkLEcNbP68xVS+UQcRV0xuGSjzHHFJQIyE3lvL620waPRJ9neJhjU 4Q/nuWyKBgGpAY3v9k3gNymuYngWgx2cCdwx8vS8dA7roGVUgsK26VJryf/Z h1AtmuNPz0sNqZ6GuOdgo/60UGg7BvvT0ufCqpCvVHtksl734uG/KsOILoGc df7fGu8yThcPT1+EnyvWq0Y+sVoyiRmegyGHkFzOJLSv6U6Ee5ua0RzUWw7U zMWifU1lWz5RL3ybBdc29hKmLai/ZFQ+7DNhPQv37eUzl98hXwXKxAv4Tc/A 9PLc0LEi1F9SG1dpfmY3A5GnlY/X30L9pbKOI7LX56bB28dUzLAc+WpPpOgy 5eY0HAnzMJp8hXy1N3Rr2wp5Cph+2KVtD0G+KtJMeMVyewpijDOYbwUiX0Wa kc9aLOBgMXQ795XryFdtz7eeu/IABxr1nxyICmi+x79u19JcnQQDQh2l8Cha f4oSLxoDH9KPb7Z2HysXFUZCFULGuwhQz2m14/0X5JkudqlXhGNEaI1wJr+2 Rpzh22jm//RXU2pqV//8Qz75cX/V9sgvImTvy5K1fYa4fkjNST8LEqju+HZN 4DTiFKLKsHsjCYqK9Rv2DiLP/LWqb1qRJEPaiZG+586IZ3c1VlOjyLDyZWC8 YCviuR9FtkgvkWG5/0GcY+6GXNR+N51iRM9FHdJrhWcR7xPz32xcQ4FP9/5L OPsNeUb7wt8zucJU0NBPNV3yRvzIxF6/Yl8q2FW7C5AEEL/8ZWuc+QwVNLuj tii+Q+M+/Xl6Pl6dBhVf3+Uz6SC+rVbV5MIbGkSM6SrrY8g/e2Zp4VMpNLjf NqQXFk/3TH4cY9FBWZDhCzZzy6aAm6TDlTtedC4sVXtSzBg4y9REW16TwNZR J/XGdfr74LiISXw2kELWvuP0lgCKR0/0rKoRYIHba1JyjxMo6xf4vS/Ag32F VzPtEL2OUzx4UtrgPvAKXyC/q5qFTaN2s3z89LxEWnQM1fKEFB/x0S0fpsHr genC8Bo9h/Tc4QgxeQRULdkGvlYczG1OUy+bxiDtQOO/YFl/GLpr8fd61wRc M2ssetqGgZtIEN/f5ABoefxV3HB2FB4N1EWElGKAf6e6prUzGCzdkk9++jsI 0Yps72OSMcgWMuS8kfKEXt+RDXCsfeC/y6RfwReDlVToVd0XDkPK7TuClrug u4H51VkbDDbjWjj/vo8E7EtD+xb5FghiNHv9QAuDg8uvhI+mRkNSVVsSzrgB ROrfZWgfw0A8yDpM81sM6Hxh8LJlfgP5tyxGTu/E4Oyjxij13XT/hBQrqw8+ grPj5D2HN9NzWozicxFdVMd56yR6bo7DQ1rts5chHqWoLp8V6Azlx0NWwnP7 X6No/1LjZGGjZBLd96pHAqqS0f6lbvcvx44JzUFiruxJXSnUX5Lks/52I2sW 9Mof3vYdRXVczdWDv4n0PMv+rEv82FvUX9qi6JeAy52BfDnnVp9g1F+qeTzX Q5GcgU1N8/Nt9qi/pJC4p3EqZxq2eIcuSr9FddyHxoKgj/unoZMzc7QqGdVx Zfqq5KrCKfB+ls3cFozqODP/O10ih6ZAOOirmOQ9VMddLt9OyH+Hg06X5Kxr mmheP4rFuT9RwMGvtutTI/Ib9imzKQUMv58EYS99gSwRtI61n5QqsJ+ehKIT i/rhAjTgUbw4W19BgGBz3bJhHPKPvEzpy49CRLjhgKf1P0Sc47viiSN+RIjI NrtuK4B4PyN36tkpInxKCP5rVIH8cz3gCnuoCglO8alFbjdAPGO8REWxgAS/ qjF9c9qG/QBNuV1v6Tmmpm/xy2wY4kZ5160k3Migsiiv4Lpvg8diE1R3jdI9 tmWznncd8k8Om5XPMD1XfY9UEG4wRZzBVMPn3wsKpCpdFk75jsZLa/6RXgsT FbReCqp+jUfc7Odu+S82VFDK9LzRfRRxkdFvOLl2KnjVva+42YH8M6UmN3Hj MA0qdWyqj9sjPlF6eToykQbv5y6VszEiziYxdUppjQbRrhUWpukb+uEXPob5 SdCPJzphkuxHgMBBB8b4eV3I4NTV2b+fDIZCTCr3bem+8ms/LZp/A87tnPde kSeCxSYOvXBtAqgJODETMhyg9VRJ8NgBDIztrmdaHyeA2IiiUhLbPbCVEViQ OToHzF0jQzuF6TmKGBkuIfgAmK5HNT4/PwNlMZQaq80EGPx1S1SG/SHsMbuV y6IyBcctKg91EOj5Zz6Q3zneD3z/tF1VujYJnsnzxKivGNySf/vtB0MA7KlU eF6FjUHnCc5spioM5Kz2fdC4HwRqf1Pe9s0PwfeJaWLGMwzGVlbH3f+FgFP7 zqentveD8Kzet89BGARyxGZe8woDzYbJoz2/u0H+Njdn6R0M8l4EREj+FwkN JcSdPvytwEhb3O+lR/cYhWqlezkahuZ1XEhWjdDd5bDQcwqDnZf+dFKfxABD 0D0xmZ4ycKrOVNXZi0GxqZKJezc9L8W8eQ5jCdDHc3ZOjF6fvOV3aOpnRl6y 2jEVYfIWD1JCGk7zTK/Qup7ntyo/hgczDAv7yoz6SyJZ2pFjlXOwMGzGN5OE 9i9l+O/xrVOYg5WB1MRPzqi/RI3gndOvn4UJ5U8RjfMoLz0Jeax4U2UWmpg2 34gvQ/0l1bJQoyOfZuAcb9GV4WTUX2J887S9WW0GPj8SiLtgh/pLbkf3PxBt noYPay5hDceQl5zzbWqHLk7T66FwwY59yEu3aXmmxu1ToKTBcoXCgrwUeMuv Lk5zCvRoJ/g+r6G8dHfrw6ePe3Ew+bDPxHgQ5aWclO9mFGMcPL/Amz9Vgeb7 HzNmAvfIJBwv3fpY4iVal58GC3xazCbBmNNY8VI8FZ4P7z/wB0+A1XrHu2lv kGdsSekl27WJcLT4N/bkEuLLTZ5sW0qJkNu3OyoOjzwjQBiX38tNAv+S6use wYhfDJe09fAggd42lyN79yKu+GPI4e0ICSyeNxyYq0Oe2f1vsOrkOTJ4p3yY uGaE+MIPUd4K+nm8zHILnKKh87m8nP9Jnp0CmjnzvdcjEU+J8K7d5EL/e45d Y4mSiBdQK5+U9FFgvmByO6EJeeZKirdUwDEqqP8Tdua7iTjzJ7H2uBQqPO27 18H8D43vw4rjKsFrVNg1dcOAOx3xGdV4xuYbNCjXZU7sPb5hn8Bnpa7frTSw 6Lnamt6J/OMSckl5TZQGPUHdaeGRdM9kV5y1Kj4L1jOXDt4WpcCzuvONpHsE uHV9yn3CyBx8TWDZhv7549mUtnjFjP4+ygZJ2x/bwmLta1PiYQII3bh+5eY5 AtQJKimNOjlDuUO2V8p+PHgzPyV7ShHA7dmuYzXP3KCZ3QWvdHYW/s6tLmzn ov8d2VCP6ucFssnvl+yVpuGc1Rdx3RW6H/oVfi/o+UID/Bzep4ODhJePrFO/ YVBp8xfLaPeHkimxi+qT46AiEn839RP99awmWkxygeCkbf9yETcCsvcd3Tno dWQKm/0JnQ/B4EFNrH/HMQjSybJhAXEY3FF6e+by8VBQuFPLH8LYC5iBRcfL BxhYHaAwH2oLB4FNg7W3FjrAnv+nxtdrGFzbvS26zzIKuKYTfKINmoGN/9Mx j4sYWP+6M7gDi4YSpoiHr5/VwN3iPxrtBzE43Nh2sUCW7h9BoRfqzgWA4xW+ K8mHweBz1eadd1C9ZqPx+8vuRTwcsi/YsXwxdZ0nRWneeuWCB2aq4M7ku+Xr nHdE6PS11TlgqtLZzvEO7V+6uYf1h4v7HIiWMi9FpqD9S5scXAgvf8/Ce6u4 3A//of7StbS3fS6PZ6H7gIK6UjO6H0eTGaxy2jwLuifTsN43qL/U8tG9P4Ze X/3TlT8veh/1l9wNTwzzssyAYIC15H55VK/9+v0f+4vAadD4nWXy9Aiq17i/ UbWL2achtftteu52VK/9rZrx3hk2BeVLZ6vzWZB/jqUbTRZun4Ip4dvHgkko Lx28kaXYmYiDBhsLgs0HNK+NQztixQVwYKD7Rrj3HVpP7RVuIpnpk/Dv/LNX OxPQ+h46Vb2kJTgJm63CHTrTaPA6vjOupJAAJKY2ZgIF+cde8UdeyTYiyJo/ X8DCEOf2c2Bcu0eEEAGZxHQxxC982V2mPkAEw27PWe2PyD+3GIXvRZ4ggVyi jzj7dcQ9hmw8d2eQQPTDURGv3+j4LrsJGcQykEFz3yMVlmTEZeNKj52zI4P9 Fry1kSziBb++zvF3kWE+43OpfyvyD7b/qkMX/XWljiDTaos438rhU72JFAh8 YXetedOG79l9UrYYXqVAV6/x6YbMDfvAgtKjB0yoIMmzxvoREGeZubhVpIEK ce+uRHsOI/9c32pqqEH3jEK00vnL7oi3vNLNfxtK9w9JdWGWE/FPaV/bledp 0L/2ud345YbramG1L/gWFSpVDkgdDKTXX2Vc4h8MdWDmvSF++CYZ2mnmAg9v 03OObsGMjfN1SDqqHFjlQQSqrRvPgC4BnHe8yjt++Q5wHnrL5kDPGZcbDbY9 UyBAT36TsvZNV4gu83O1vTsHLOpxPbtFCMBHHEtZfugBCvoq5fMBM9CdXv48 Zwv9/0bePPj3hg+cmvZPZvCbArMw1axhMgaEHnzWTVU/CLVMaWFKnQSWSha2 iD4MJj58+XCv7DHo6N6xvG3/Ddyw46/P1dA9UB7z4pJoECg3pjqN2Q1D/ptu /5zn9JxjfekiY2kIeFi/PXYrth+Ialestodi0KNymuWOZBgoco1/Tvb+CrYN SUpERwxWA6Y0a5oiQDb70fnKLW1w9qYS3ssQgxH7qIApyWjwCOe55mTzEaSG vqTwKmHAX/RlHixjwNL60M+IynLom/7gfVUMgxn1tTORL2PBN2RZw007A9IP kVpEODC4axLYXzKBfNXnHJwY8BEPvoTuvxOcL9f5nZWn0u3n8bD66RS+XqYG 5W6/vcvyX+aA/GLR/EES2r+0hbU9Z7PaHLTtPClt6I/2L+m23rHX6pyFvUFY xg0vlJecnh0yf64/C2kVaX4qx1FesnHarmDSNwORAep8LPtQXsq+6KAuZzID b81lrP0x1F/i932lf25gGoTO4I3CviNfqaU2GU8bToPgHf/KAQz5qrnGOC5v bAr2ZlW6/f2MfCUwwl7eYToFy/tub/vvA/LVv6PvSE5TOJhlWnzXl4byUmXG I20ROxy4MVJCbTzQfFfbYpd6mDAJn7WsFQgOG+qYfxJ78hwmofgnm+x+XXp9 cvTNMGWUAGa3sPrCWuSZtN9TxWtnifA3vZyYZoT4L53C/u4cImSqUT+2LCHP BL8mae/fQgIe4it1pzjEL7MtdnvfJoFWVF6L8CHEeRciXzztJEFQPtvK5jbk mcgSDRA4TgYOgtZVP2vEW6dd8D1pZOh+J1HavIbO55fpzE3Zf2TIPPNOzi4F 8bGi+69+0P++jryPnHUM8fon6aoBLRQY3b6my/cVeabb8YzcUykqtO43s2Fy RlxI94VEVgQVfC+uuKyyI27T8Oy2yzwVjg3/PCj5Eo27NUvNg1eGNJCP/SZC PrdhH3jjufg9dTRwGzRkfjCK/NMin25Ds6CB2Ev91bAYAqQ82HT+xKeT0LqG NTndoACb69BWGQ86h8AUjrqr0LxFJew/VxLMJ680X71Gr++45M7qa94C1f5/ N145E6CgtX3H6wsEMEowi/JrcYI1y7y/0vZ4cLUIMXl3gAAid3PkXX/dB2Lc qJ2nDz2nW70hcfPQ8xUp26oG7wnWYU74ykfTcM0hlj3hJwa+zyoYTBl8oa+Z t0M4Agd1A9sG8yYxOKRueS/uoT805X8QHTCagJ4zhRFJLRj8jXM84jcXAJmE 9FvZN0ZhSDzR/9JrDJQshwS17waDU2mSd23gIIzZ79oXlkDPV0VMuUP4J6DC ZFBeFtgLZVWmVxa8MSi6kXDnlHs4rGZ+xa8sdkL67UfeW29g8OafvbYdZxQ4 DRzIabvwGdTCuRY9LmFwyX3br6wP0TB/mtu4Kr8OPpebfN92BANpsSS731ti oaE/QnObUjFcUDqTfUQAg20xTIVHL9D9o8b37Z6eMrh/PKd0jAGDgMtiMSoe qI5jm19wGvLHw9d+s6lo1zI0jyaSme6z4KEn76fi4xa0fymeYcSsI3gOOL1T T4uloP1Ldou7ttPY5kCcaYq2NRP1lz4OsZvcjp2FHc6mVyd0UF4aOO8/8opn Fg6Qj7MEHEV5ae7R2ruqxBkw/di7Recv6i8JUDgN/f6bAfG5MZEoEuovJaun zTU+nYb80/wSlouojiN0aZIqhaahnPZSsaQP1XEmwU/L7FOnIFl9aaLqM6rj vmyfGpzdPQVeVzJkBl+jvFQXPhT7PhcHn8heF6aD0Ly+HWkUaCSFg/3bQ/8Z btgP+J/VyNeaokmImfh5ffwqWt+81+UTZKQnwUATrF5dpcFmYYfCAUkiJPrI UBudkX+22HHcsYkgQpxsxEE5DsRtFJn9T1KJcMw8/j/LQuSZq1uCnwdeIYFy HPcPHjXEm2d+cV4tJ0FfWUYoTKPjuMsjd6lfiAwyQTbaTQ8Rf/ieO5LtMRmE x4PYo/gR1z1gmrsPTwa1u0pL90uRZ66TbkVMX6KAQvERjvLLiBPrbRoOlFCg ZPjosAMBjUunUL1aBRcV2h+O6EyFIK56J3P0vSsV9A/+rP0mjviJHtdqtSEq 3PgsPqHzYUMuCmG39Vak56IdkUd2mSO+UnFpt302DbJxl70Of0fXySPu3Nv+ ARo0U8xehyYSQM0qkfWxsRBEHxRf9pqlAG50U3LRQwIo/WqdsAk1AEMrrSoP MgnGVQoc79yk56I31Nhv49ZA3Zx5T47+vu3JWbHnNOk5R0TuRhrtLgRcfMWk Sc/XllyOctJH6a9nf3ca9/oeKGUX3134PgtMBqITAoIEwBOVHxq/fQCdjiOd +owzkBQoNriLgc5t7P+7WvoQWPs13nKyTAHnEemahjkM2DjFwryn/MAt5Q/Z fd8kkD2H22I7MaAWpP301AqA5V3MMyy3xkAieC6p+R0GEezvxjVbgsD4VMpK u/sQnOP8oZtE/xytC8lzo2g+ActjAd+3hfeBjp+hie9juq/6sJN6XWFg5jSd zubVDZv5w789sMPAoFGiM9YuEixrDZbPSnyBJo+8O546GGx3vgyN96JBwSAy 0Mb8A3h83qEWcwKDPZjsq/S3MRCdV63dSioFjphHXKq7MfB08L1n+YOei45+ W9zREwlsPxM2S2/B4Fev/ttfB5B/aCWKAYde4EEtZ8rJ16cE5WtSYmKmOB7G 2RJlp8fr1/l8g4+Uf/4cMHN9br+cjPYpnfhz7+qD/XPAHfuX6bgV+n5u6JUa K7OSWUj/neW91wb1t184D+2UOjYL01fsVGbkUH9bYpXZfWv5DHx/wRlZyIX8 YyFUp31VYQbIWUyNrETURxqcyU5nLJ+GGzV/6767Iv8kvWMV7VSYBuLBBM+P Fsg/XKI/9m2tmQLT7wYHxi4i/8wvrzSbnJmC6mqmXe4KyD/jE6qQ0ISDwdXy P6M70LyOSbht/14NBz0hpz9Z/Nhw//ltlvxK6yQU8L/uuDGz4XsVJYdGCRqT wLgvR+32ABWY/Z57cywT4KnAD+GInA397VHjUlEzItjUKePdziBOVbgEp+uI UGSpfdViFHkmX7Rnl+BuEiy4ffby9UL8HKf5P9dAElwNU0wR593wfZM/ogpf 50igkOZm1VKKPFOsZX3MVJsMZI3jN5UuIS7A0aucWk4G/4hm479T6HyehzuI n/mPAqscMvfM/BE3vPu4g/0RBVQO8LdHCCEer9fXPjZJgS2qn9prKjfsk2x6 v8tVmQqf+755SZggTjuR6xyUR4VCqyVJnkU0vk+L24TTWGnATOrw/hON+M2g O2HjTjQ4znOQ873Uhu/ntp9iGxykwcUOi6jGDfW20MgPwa14Kvhba56NCKN7 KYKKk/BUBYb2oqc3cWQ4xvbas5Ced0QCwaB04RooFJ0yL/9JhM20c7vVTei5 yNGd1lplB5m51/QkqRiE/P4RvRPor08XoRwTdAEnz6zVrYQ5CCrKeqQsTq+/ up8eYb7gDmmPWW9uZp6F33eUVzm20d+HzHphj7A3rOZuYdj1ZwokDBiUOZcw iGKv/h6S5wu5ld/mpHlw4Oi9sBA5Qs8hAWnmBUKPIU045HaN7ThUMvhoZzTS 84bPObvgR4Gg/E6epGw5AiFNF+905tPrsrLf+ld4QyBEOpGxOG4A3D6fX/KJ xkCr26r/o38oyPaJu5s+6oGdi5bq190w4Fs6/2yvSAQoW43FDdHa4cQHl53J ZnQfnnndDW+jIJO2ydDg5idof/bA3V2Fnt982sv8OGPAt4MlJyehGvhzs56H SmMgZ/lP3ORqLCib5f4MzM4FH9KvE7u4McgqC8ExxaG6zO1TvpnCNB7u9TDO +V/KWufih/PM/a/jwWTLoF6WXSXKOX2pzur0cZVvzcPFZ6F9SieU5WMEbs2B JOZY8DMF7VNKwTd/tCbPgnq9ivmDKNRHWrtmquN5bxaC5ngV0k+j+/6s/DLJ cksz4BnE2LrvCLrvn8+ytGz3YAZKp5IeLZNQH6m//ppZ/so07Hs6Uhfqhuoy s+K4w4/vTwOh+mBEqxOqy04So8terE1B8Jvav2mXUF32gix3od1zCnrTo+MT L6K6LFO6A3NmmIIL2AnFE5KoLss4aT83GYKDt5PKEcQN+4IvBJ3PXGLBgd/T oZPaG+4j+XLyODyOnATnfJVV4w3f50jnUbriyDoJr+4PP6CN08D14w+H9DQC SA5kHVhbQ/4piO6YNf5DgHnW9rfKaYgLydr7Vt0kgp/dYcFJuQ3PGfhwt1fv MxE0hqSbL/Qg/9BEBH/oSZKg8IHv8wsuiH/WCT3zM5IEvWrbzTLZEBfiJXlJ zZPAN7B4l/PLDc9h8RxYEzMhQ4rIx7R7yogrKwrTOBvIcNXcpyB0GPlnLfrK sP8eCmSwqjXwP0B8vkJrLjWEAgU4jbd/uDb0vbvfFFIJFJhvwVMKXm/IUeXv z+ap03PU1DejRW3EpR3DfzG9oYKT9LZn8Rjyz6ZqzULyDhokT2hSi4IRv52X mJHlSYPDi5t+/9iN+OEFxc0qOBrczjdLMKhE17VvbW5PZyW9npbI8TvzhAC4 2Mo9SzKX4GG8cHb5G3p9eqpzr7ojPRcl1leskS2hQTtbm9JKBGv73+cXDQmw ovbAxeClPUiMuxXvrcXAfyGQL1+RAGK3qZvLElygMSNwoLRqDkJxVaFTovTP Jbs6Gfk6d1j1n5OIHZiBJfKCXzUbAT4Gi75nivMGIc2bX050TEHneQ/Zl/MY LB0U1Rmc8QVjs7GvNbOToJAx46Q+RPfA/Ox4t/5jYO2ViXzCMQ4XAyXP6DRg gM9KVXpSHQiyFWPCEptGoKWissEhF4OUQyXqh6/QfTUlu2YhPwAFzJebpSLp 9WBbZLBXHd1XZULn4nb1AFag7DXvSn/9+H+K5eYR4Nv38xijXDtwVo31Kl7F gLyt5NorWhQwdG0J5i9qgoQp72KJc3SvSmw1FZeJActq/vMhAlUQY3RbWVIK g7y3hFGiRywwiDRp13a9AMFusB7ejsFg0XQBYwny1XXphBvVg3gQPrjqpLEz e537196zyTPEw7KQ1bDdN/T8peDhW0t53+bg2uSr1SUjtE+p+e4Ur5DpHCy/ 8cGxGaF9Sp18o9uZcLPwPk1/uQhDvuLyZmqm2s7CkcGxvD0JyFcRpu+4NPAz sKLTqe4biXw1/9FzttphBrbJBdpFXkR9pJ04bkl74jQkRHgMhuQiXw2y/Uop sZuGJW75etFnyFfutd+T2Bam4JHmwCyPx4Z9lQSPAwN3p6BGvHCzlxvy1aKE Z6LgdxzcI/PvL9FDvureV1Rn7oODR1QvG/b9aL5jyTc9edYm4Xg0X+rYvg3P P5M9d7vWfxKGnxVMPvpHgU1WI29H2gmQrFA/W9eOPDOmXUXOPkKEOvXJouVb iDMy5OtFJhAhKXnhAvtmxGPzTjvK0fMa66K5tM1z5JkBSZreOVMSfHIuuGCk tCEv2ZXaONWTQF4Wf3T/CPLM1cvCNsViZFDW8JEj3UM8pTXh9btw+nl0MRKn ORCPST90V2qeDFvX7A84b7i/OM/jIFioT/dPoIwvVWXD/TiN94uaVfS/vzye qzmJPFPsWexbIEgF0m6SAO0R4m7+Hwadfagg9t/QB0nhDfsqNWbMjHFU4L78 TvFsJRr3zZWvOi+r0iARR2q9pLdhX/f74FDOYhr0ftuxPYyE/FMeHWA48ZIG bH1V0hpPCZBiN28dG3UAVFPvNlaUUSBaX/eGoje9juvrZv7kYwSWE1vVluvo 4zlj0y1+g56LDNR4iZ9vgtPijUO4jwTY037lXJs6AfZbBxJEyY7AveP284lq PORHVFrVHSaAm2zXz8ED92H3w4n2ppZZ8P85+GKAnwAKt4OW/kh4gkQ1t/HV r9PgX9NBLPiDwcIJmaiaw4+g7PCPNb1hHMhGgY37DAYK2SmizLv8wTLzwnFV ygQwioUs67djoNsYdvlbUAAY21s8bWQeg5eNIVzGb+m5SGOqLGJLMFjmDUux 7BqCNSdmK70UDPa72eczBz8Bff8en6L9fXDfzbiczQ8DViKBrM4ZDk73xKn3 hLpB2FCyavst+vubZCrdyIuEhi25CXwuLcA/WTx+8jIGNjyG4gkx0eBrudbL mNIAxz9wbN1zHIPsjMHeyZ4YmFQ+PM/w6A1sKp279XcnBl2/FtSieOn+aVhd hpzHsGSdOEzZTPdblr9Nghqq45LzGc5wJuLB190ptfknes5Sf66Hso4QHnR6 OOSHMtE+pU7jPWZKaXPgV2k4kGGC9ilJmxx7yLx7Do5qB2hYs6E+Eoh5/t2b MwtFwZ9fS9WhOs5tj/H5X5KzUM/udtAyDtVxnLefRxYWzMD7KOPTX+xQHXfT TniRVWYGPN4fF0+9hPpImQWbqogvp0E4PC/H/AWq4zzA/2DQwWmITjA/vxaK 6jj2kKPVHa+nYHmZS7vLHdVxm0S0tahHpkBFb1z09E1Ux73xTVeyrsKBfl9m Zd0ZNK8f8wQsP1XEwdHfAqO/JdC6qVgeKMmsn4R/ews/fd3wvLTdcVdw52AS fBfHdzDR65BT3ASumjICWAaXhHybQZ4573Se8PA/IhjtNywR8t/wPCWBrcR9 D4kQ7hf9+v5OxJ2PGWSdnyDC/psqqwbVyD9T+wLENc6SoPI+373Lxojzm+/u OZZHgkBFr8/Wi+j4Tr3Z7HybjQyW2FOpQ1GIaz2XN6S4kEHrx/XzRRKIY3dy incOkaFUZpno8wH5x0332s+EUxQQu3gqk/Ea4k1+AXeWMynQ/x/fwZxVNF5F 4rIJ7ZuoQHW129yRiPjztLrw8BtUWF0b4di2YR+YiXll4aEvVDiriKPYdyP/ MJ78U7NLhgZJlmljXg4bvp/7JorXOJ4Gm7CtgWeZEa/abDGh9JMGuKenq69m ouvK0V6w0ChPhVu1Xos1/vS8FMmvIXJJF6gnedwMFOjnGyX04IQd3Usrm21c r94A/r1McOsiEc6lSny00KH7zfDfwZpLDpD2wymfQRGDp/DstJw8vY7rGP97 AecKLpGlX0+fpdd3FLXEMWECWNmLcqUsekB0hjes6NHnfd+18qNMBBi8Jplj ifMB7Myh6Qt69M9RgqlGNJFeZ9lZnKT6+oFyAqwcvjsJu6zKj2r3YKA2XMk/ SHkMRRmfdkhs/Qar+4Yk+qowSFupexBmGQRqh0ef828fhuu8E9GWmRhY6W57 IEQOAafSTbXMsv3ApaRXlxxMz0VXFauv24SBDu8eASbhr+DPcEzI14FeD+40 qw1njIQkStdsmG4rxLZfMDmtj8HhbYn25SrR0JDo94rjRSPMfW0yfXGa/j7X nf57/CgGov88T27SeActTPv7uEUxUBx04K5tpuclbUatbVVJEJRCypjeSj8e ybchmmsoLz2009CxrsADNYKsd4elaJ3LlLr1eing4f21WtGIKPScJWnBJsml mjnw0PS/9cUY7VNavRH2JUpxDmSkztcQjqN9Sizp0iw8H2dBlpuzx74X3Xc7 d7k44J7aLPg6v7RviEf33S5PF2r/bpkBA6e4RjFvdN+tIKGNhNOcAVV388+8 6qi/NHGBzUm6dRp6OaKVlsSQlyTElaxTNabhc5+633Y+5KVG0fj9d7qnoDzT NWXhB8pL0kzWitd1psCzRoVnlILyUm8vO0lpEAcWk6NOFS0oLxXsTBr+aYaD gXutmZvz0XzXuZjBN/JtEgRMLGWNNtyPiv8/TF13PJbv928RhSSjISQqIxll JUcaZmhZRUhIkq2Qnb0pe5XKjkpUREZGJWRHHh7jfjYlEep3f/74fa/n3/fr eXGPc973+32uc65rXGffGmsCSLefXHofQoe2Zx+NlyZJ0E36rJn3EvGM56FD sx16ZBB3dCzqPIPwhZnTdYvlZCioPDeSR0Y883Kn6LG9Wygw7e992SsK4e1S 5sEqnhTovgkCVmIIf+55erlkgALY3vM5tPeIZ3wohy/NqVNBpNxWvZCpLo/9 WGDzf4Ln45OHCbt+ovtR6aw+eISNBtYfx2/YJiLcsc9Hpd6ZBrLNQlbDkgi/ xffj9mPc10qFPhWZb0U8U/lF+kaEHB1I7U4yWx0QruvQLGqSSgcjuT4vzXVM vK/CzRW8RAfilchogTz03DcoWRICrBjwwObo6x0qTHXvloA1La0MKPi6I723 G/EP6+Ex9iU5BjjEV7rrx5NgE6Vo6JavBvg5yieXytPgDeVA71tP3E/tiG5w rLwMXaFrdiafosCgyov9vBa4LnoZ02h1xAHampp2X9Igwd8Vv/dKJ3Aeq7nX 03zaFSIkr2W9U5mBN9+6w3UkcB5Lrp+/7uUFnTc52s4YTYE/i31FFzcJWJzI /daXfKG2r9DlnQERdAuOCu/9jQFLRJoaBwRC2J4Gfpsr40A4vDfI8jsGF8f6 Nwu+DgZZXg5/6b/fAZs2e2X+AQP7EsswovA9WDzye/uVdd/A3Frlz7dS/O/k sczGl4bDbeHB8t+SA/Dgs5Tc6ZT/9jtqHZjdEwUa5x6pn9/7Fb6VW5T7+mDg eidVWO5VDIgUXYz4KNcJ1SU7TXOtMCh/MFmvoh8PmLCfVm7iB0j/KWCrrI1B zg4+gud3XC+do8/P7amD0IoLr7Jk8N8Pqyeo70sCDTbvWB/bElC9UrBM4sPA VsgrwNoG8c8E1fDa4C9cF2Vue/TMIx3F9UyVRI3XDLAVkjkGGGifpYBMnzKx lWl4Of9mmHQH9Sm5pvklRPpOQ7qY1CkPc9SndMlgVN733xRc3DRT83UJ6aXb Je2/ZMOnQGQ1MHa6EK27Ff5Yuy5w4xRwPdGc/ZeI1t26fqR9vhQzCTzPdr+8 aYLqS8JqNxcPbZ6EwX9h77n3Ib9ms2VpbUkkEaw313O07UF+rdXsw4LLFiJc M3VlIa1B/HOR1qV7KH4CZHTK15f9RnppUEXV0mfbBHCSveUzR5BeSjp4KCky cxyg7dqaD89RXFtsdtkiLzgOkUH2fPOPUd6IPNyib59PgDHyL3P9cJTfT0+a Zd3bTYDBXXckT8cwYMDRpb60EI97GYlh6iziH6/AiJkbm8iwd8fW5wfjEc5b oFJFdyVD+K8rk8X7EU74Y/1G7ysZ3uQojZ35gPiHlG8QZ3iYApW/dTfrXkM4 3bh3o0AmBUo1WxKD/zL1Hdl4L+isUmBWUfSRYRbTfgJxYRLsdlTw2LzNJUEB 4Sm9BAO+T1RgbanRDf2M+Oe1qykp5iANxvcfr+BwQviw4HWJthQaNPjJunRv YJqbW57NG/1Fg1s5hYtvH6HnWCNxbCbdmA4Tty4//6eJcE070a876uhgquD9 IWCEaV/cJbHDLMIM2J7ncS3FhwkvTR7yC8dxGkuDIA/CPXzOuB6nMWCfsP4B 01KmvspJ7cg2bzr0uHKrrt7D+WfQ7VualSEozghwsnpSQfKaxxkNJ1wXfRjn qtlrA07KF7QkI8nwdV1iSOF5/H0aqnWx/bkBBLK7VKIfBjFpSYU3VUjgm2W3 dvWoO2TxC17wvjsNEfZrE8eESbBw3UXIwfQ2NCfIKZy8PwkDhANZXhtxffVT rEJe9S6sadHpV0+YgCf85LosGgb39BqaJ+SDQH+J03ahiADFAZ/P6vdh8M72 y5/z+SEwqLz0ZSBqFHJ7/8nx1GFwQv/g5SjOMFD++e2KUMQQ8E1/PGD/CIPA BsvxgpwICNRNvyz/og9G8400x6MwGE+aErnFEw0atrvLPmZ1Q9XFN7o1Lrge W33tt6ciFrjHbTlbNT9Cl2Yiv5oJBjxRSrGnhRLASuFkRuLTJlAfFmGZUsd1 YrOaSu/FRFgzctl5n3w1HJTR3bRbHOe9FqnfX3NxvnokuryHPw8Mq+4HfefA QNDxY/r+fsRXs+2zZvGtM3DPwm3i0tZCVJ+o/pWVqDUD3se2+Pu+QvssmS3d jz3zeRps+bdXWJqiPiUrkiKjVw/XGTcJBj6nUZ+S41Bw9OaeKbhjIkfcbIn0 ksQ1s8eVplNgKnYi0oUP6SXnXFnZvYOT8JAgG3aOBemlMwcfORhYTILERde0 s22ovuSfHKenO0wEuTMbNr+bQny1KpD177E5EYg/QWTHMOKr3bMnrd8SJiB9 QaxhXQ3iqzovukLWlQnYNee9Weo50ks2q5rHpafH4Ybd0ieFOKSXaoVFP0nd HIdyuUch4Q4o3jNn17YtUAlQMv9mageTj/nC9qHtuysBQl7+puYdp8M1tvMs 5EESHEk8nfKsAfFMEXjQq9XJMGcmXjJujvAVd++IpodkyBEX3dq/gHhm77iM sdR6CnjXOJ5wfoDwriIxyjFcf3xkeJRfkkN49K0V2biPFOCWzHbY3Il4hpxV SPgiR4WKldmadnuEN3w/PZKeToXBN+fq/v1D9zN15OdnmRUqVF198tExG+Fl 8+4SVdY0oBWIu0wqITy0ov/InRYa8JEar4r0Ip6RfUzzTBeng+N8yd41Hgi3 +qV51xbXf6oFxoJHtiA8T9PnyE0aHf4YC9tKl6LnHvr7non9eQbwP9ymKX+a 6XyBhpAW0hsG1A7y9T5jmq+2nJCTpd5kQE3lkS96SSRwZZl2u3BFCSaCuySf u9NgX17drpXbOG8sHCSmCpjDdnmWyhPBFDDYwrkiaEWCglDHG4//2sHOb9v2 CeF+L852JijoNAkCjxTsvZHjAp27HYQNfWag4nDLfIg0CdqstX6LdHvC/C9P 3cgY3CcECBd/3Yb/nRvKU4fe+8Bsq4UtRwIR7Co2sNj/weOsQCaU3B8AGYXf 2C9ljQObTeVPx3EMOt4rp3LfCAbt4UKz155j4Mni2mfSjsGIoqej1ddQONAl OcAd+g3W8liz7KzAoOiXe0+cWTg4EAdv/Hs0ADq529v1UzHgZtuh4dsbCdpk 1e8BT75CIc8l+aa7OL9VaoQds4mBNTpGz80VvgB5TX7EwFX8em5rBnQuxYHR tq23hoNaYfD61T0qehiEPKhax1qD+7hI985lyXoYqam48l0O/79qm5/Hr+C8 1EJWVJd7BjkRLXLz23F/x3HY9vZRnH80PkbqLtuApC5t4ccaDBSuOF5864zq S/u1LykQw2bgZfzB3s55tM+SZP6Sl+rmGQgmXmWzjkV9Srm3DRaI0dNwn94Q y26O+pQav0aYNnBNQ2vpkXWCwUgvjczs8ZF4MAU2mgU54QpIL8Wzl4nWCUzB jOkIVwUP0kv08t3lIZmT4Cz81juTgOpLjT0nPbN2TULK6J4Llh9RfWmtxd3R jnQi1OspDCVNIB+Xoy+W5CtEhEBv+4IfLcjHVbwJCvbPnYCtuVck3lUjveRc 2nzxpegEPBIqkaTkIb0kamKHeRWPg7ZByGXN2yiuXbb8WWsrPQ4W6hqL3nYo bxz13P+GVBDAM8yIe4s+yu+JG33qtjIEkNkoLSSuywBuq7/kRDEyRKlklm/0 RPzDFjMoZBZFhiTO9z4aW5jq3s7aEUcpZEiTOrvVshzxzMjj17WnDSjw7ufY yDk9pnNPrjpknXtBAUtFudXT00z9kP/iKTECVOhKZy/nCEa4x6vp4O4AKuwj Pudv24FwNRZHLtFJKlimHIr2rkI8o6Bgx56vRQN7O4WExbMIr5jOfSZSRgPK 8yXSf/0+/4/LGN2KfstJBycdSa7v0QiP2aIhH+BCB64oM/udEgh3vWAQ+t/5 LhKn9PiMm5n0z+2+U4oquP7Z03z+qhVTf8araEOFfAaQJzh17RbRe+KCAb+e KQaYLxwL003DeSBBou13AzcUvuAwr8N12grbTLFfAK5/Kt0P/CBegMIYrrGC ZQqovWkokLHDcfF9dTKJttDM/lKxgIUMlQq16/jOkOCyRWP0rUxnMN3gLO6y PAM50yWdi/K4X/tnvBIX5gHarDqGa1imIdQ9IXtoB65/HHvXfoq5A+alrXqF PJOQ0/agi/5fn9JHiYy4CH/ofMUzq88/Aaa1nwdDZjB4GrZSttQZBKoKrhHX 5QmQoJm77dwXnJfOPJQ3Vw2FwA1J5z3CR8DIvWLXg1cYLOQZpca8CAOjG8NT XA8G4Znmj0WzbFznTL7lTlCJBKudjruHSntBc/ii6rlQDM6JJp83fhMNVs2i IWqZXWBYUkbScsSgQPXv6u8LcSD7R/WdkU07XDD+k6l6FgPdhAWtfTcSQGTl XUN4znuIbXd4bq2MQe6agl9yRYkgIkxqtrn2Aq5925jDJowBG+nZwSe0JFhj Uv+o/1Qi1AYcr8VYcb6azPB2FUX8w8H+5LTK0xkweWfX4rf67H94YOlvdjuJ GVAPvtGa44D6lFaUf7xPK50Gv2Cq0GEz1KeU8H3ske7BaTAhPpYwE0d9So+s eoJ3vpwC+idyQ7s2qm9fVlpvq6Q8Bbnvtuhz86L6tsz+/be+vp4EtjULfxd+ IF3Etmbe2VNtEi6l6ywMtKM6ksbivZRNb4jg9WmX2wFbxD+G8oS2BDUilFad n2AxQvxjd5E4J9gwAQO6jR4EJcQ/KYlDJw8cn4Cp8K27oiUQ/2gW96acbRsH M/N3vEfXo7h+IMA106o/Dqw1c3UBM0z1jBzVq3WdBIiqY/FN6UN5afbmc8ge IwL0jyayEFvoIG1yspBtjgQ3NS/OJRQintEUJs+NmpLB1OfZ07caCJ+9xP/j 4FsyFB8LeXrjO9O+SRf4xHbtooDxqVBPf3+EN5bF7ziCf8cHKeyBtgIIH/JN aGknUuD9bvbeL1VM+5Oovu/j0adCwpXBprAzCOfa+PSIzQsqxCT9uKo0je4n 1s4v9igvDTgVdnNY3kP4/ldBOu2+NHAnChh17Ua4uQ9nbfcoDTSEY0Zb3yKe kf9zw8r7GB0ccg+qiF5G+OFvp9p0Cuhg9+58t+Ev9Hy/yD6ZfsDCgI8OP5+v S2HSRV6K19NwncO/96rsWmmm/QE++h7N62VAbOduy6Vm9P4q7sUQWXB9yX/z 4PYzMSRQ+Eq4c0TrFOw8l7L8ZI4KBkopMb5uJLBXw7KP6V2BqIHl4Ak2CljZ mp3fbI7zGLF8h6DTdfAodedL+4vBzfs8a+lAAm01+yAhhitoKtnskFmahubg 7zu37COBV7PSj+e7vOHJ1MNTPLxT4Bdd/uozJwmcnLLakn/5QgTxp58LJxFk 0txUxn5isOndDqVHSYHglFGw97roOLzeeJ/r3DcMZlY8AvdvDAExg1sPc8O+ g3mbZqpFEwYkYe2Hdk734FNmk3lZ4DA8r9jKyC7C4IpuKmfiv3AIvDQwx6js h8ll9XRIxGBAyuuW3a0okH2zOXdfXg9w6VlJHvbGQOI4vUZsUyxosF+yVJP9 DKHGKfvtLTC4XBW25nFOPARKzwjb5rfApbufniidwqAmy6NuakMiaOy6vgvb /hakCxc5Lklh8OK2mzPNMAkC9dZPvkp9Cv1HQlrGeDCQka3J0I1EvuyH3erv uekZELxRXU6wykN5EM4tEms3A2oNT0+NkdF+Sl/vLxO5aNPwi4WnzM0O9Slp 1hRLHroxDeXm91e+m6M+pfk2OU7F2Skg2qfdinZF6/68t1xdlW9PwfdqC79T Qmjdv/Gb8bjm70mQ+VnYbbgVrftXKPLSFO5OQot64Cx0ojqS/+P7vk1/iDDG vWrqZod8WdN7j33Rd4iw4aOuxqoV8mWzdg6X7NYQQUfF127sKPJlf4RFthH8 J0Dv58pophLyZadan9lpbJgAp6qTqnrbkS9bu2HxaFbMOKhqahfo0FBc62yc FlzDgcdLc5y8yxTKp6+LJem6SQS4YJj5OLIR5bfT7tGlJxwECJb9oGjfyYAE thK7ifVk2JRIl6++z7RvkiX2wfAzGYKPVvbofEJ8QiW8aOw+SIHymqn+1htM uuj8M1G2+xRoOEX2StyA8G2hMttScb8YzncjbJ0q07r/2ovjG/fj/JB2sibR janv+trZfdMMGjxT0HZ/UYTu54SLX4qIER1MJHaz3NFB+CvHAbst1XSYlGmU j5pAPNA4VMO4vZ0BQ/WEIpEgpjpzEZ/aliAGFDBCLKK2I7znyKk3mjMMaLt6 YcyYqU5XMCtwUS+NDuyfhi2yw3E/VcX3t+WDPgwfyzC1TKbCpGF+dfNNEgyU G101j7AG/pN+HzcXkyFL8cPVMxdx3fLJfM+zszcg0PaX01AWBhtPcYxtOor/ PqQ42JTkBgR2joOUqkmYsuOM3/7f/kV1j6oyp/2gS/JXxlArAea4zMY7+jHw LR524vENgcMXL6s/bB4CukGjB7kAg1jvcD6ydwTIcmR5HxrtBoPAVZsLbv/N yzuMUMJiQTboMXevRDM4fu8cuqeBQdIv0Y4VDVw/WLs/ZvzIh5eN5B+XuDDw iTYR5WtCeVqqWhUkaDgDitI1JT/a0X5B20o5gr3PT4PPlkNpjZ2o3yZ7tvxI l9UUNKzGp7X1ofy6u+omUj02CV1p/+xJ7Si/cha5noZemwThk8trZsNR3UP/ jZGK+QQRrt1Ud937AeWX41a9M1I2RLix/i0juxblV4fx7tUJbAJi8lfPbU5D +bWx4sUhFfsJcIxO3Hg+BeWXVJIl9SFtHJwk2JbnXFB+te6xbznpOQ7bErZ4 tmujuDjeorDn3jwB3DQdNHyZ9r+5Kbhhp4EPAaQlu+0SROjQ2PrgpowyGQa7 10nfsEZ5dOlklc2hVTLAxUlFxyyUFz1YpHCDNQXaKrb4DCkxzYE6DegFtFBA 7GDjmZ29KF8eetrsBSkqLO5V8jJ3RvhbEneO1AIVxp5FLN98xDSfHuqyR/YS DfT5JG5fV0f4lr/avFfraRCdaXRPcRjlEeVosCQlhA7PLARulfMhvHlgx7Zv +gwYeB8Q9k4fPZcolUtNU9EMIDT+9vuYjOvw3c964pLloTYifCUzjwKb/qjY 5VuTYNxpqF7rqh04p5KsUjNmQHpcXWqPDAnEdKJv+/l7AtdxZcsXFUTwUCT9 Zvtvn5ybZZHnQwLA6Jh3a0DlGNSmrNj2d+D+2i9wRKgsFNSyT74iNX+Di+T5 Ta8rMfAXKTnBJRsOtqfMdEMIAyDKtoWvKw0DwfrjHg1lkWD0ilWGH/sK8c1m 83YBGIyfuf/6hHIMENLOaIm+/AIhUpN57tcwKHeY+57WFQfcsd/WLS61wm8x 9sDX+hj87GXh7SxIgAqeTIsGgQZgr7M8HKCA+4Wbc5o1M4nQcLaHpSu6Aox2 9+vf2Yl/B9cn968/gPLIavFgzWLcDGSs/1Kt+xvte/PKQUliKx6XyV83y/cO ob4RLlaD2sfZU7B+6sj+wUWkn/9yWOUIPJqE+wORZvKPkU/vCoGPw/lEYNy4 CYuNSA9b7jEXevIUzxNd5doPqUj3kilBybTKcdDfmhS15hLiOW6RxyY8NQRQ 6111dJFB8RUYsC3hqyIBd3UsabwSDJDARBzZhMjgWnn7UKIvinOV7s4UmCKD dVvHBvOXKJ7HJoXm2rQo8PalT2HXWYRLWJ2oPlFGAVcV44mLVPT/ggd1ZFa4 qbD9veGN7AiEW5XGOV25QwVV2qaDqiII53kd/l3oOxUiCFvf+rxl2p+q0Wat 4HEafOhXTLtrinDVwzxxm57SwOpa+Ob4HyjOaW++cDdvpEPZ9/aIvkSmOSjj gDEWRzqEnNj5JvkQwqdM129X+UKHKo0HQVYdTN8d0+tri+UZMKghm8awQ/gl bbsHx/4xAM4qrL+cwXTuHjFBcnUHFX4X0Lhe2OPfBc77W7t/XYXFuwy7ml0Y 7EwWZ3lwmAS+0xl3yQoecFv84SlDhUkoM/BtSliH//5+Ye7vw/7wzta0Xv8/ v9Et+airC4OI5LKC7byhoP/ZvDmpZxAiSrCTozkYXMycPNnHg+eFU/6ZvG9d gPXNrp28gftTqTKLRqk4mNURUeoQaYQ3n/nD16likCUXFWaekghWXKefJZu+ BAGX7a9jRTDYQ+DKkxtOAo2vVouu/1JgT+yDg3ZsGGxg3b/myhbkN0+9vv3R 4NkMiD4pivFYh/bvNT5UTZ+VnYEVF95ffH5of5VtEt/mW17i3xd7paa/g6hv 4VR+lSLt8DQ8vzfvll+G+hb6/P82P3g7BfG3/HR2cqF86Wo0nb+oMQVsaZcv OfSiOrz6vetX7N/jeq+mmRBbjfym6ccrZSUnJ8E04qulVyTym1zC2sE7G4lQ TL04GHsS5Rdv7dvYk20T8OFXxkaSAMqvTTALbV/GwXL3Z82lKaY+BDenWr1+ Apzd/KLvVzUVLj/lcL1wjgzqP2IOnNJCefQzv9xkWxUZnv4mHw+bRPniV50p K4zzstDEqoNPKNN8HHX+TLUvBfpKC/QmdjP5QR7f7cGnqDAYJhQkcAHly9Wd GRbKXDRQCvh31JrpfKnJ1oCMtwM0eNW949/oexTn9XvueXZl0+GbN69Y+zKK 52bjDjEOewb0a37xiJVH+MhIlde/bXic+zNaPsWSYNOVlqJz45qgb3m1VYKH BqGJlhW7PHC8ROXQhb8WICPj36m6nwKChmF18TgfjX/c7fyuywGEajLT7wiT QLFdazzpOAnu+ywUzWW4wmQF0dxrxwzAIdOzpftJ8LnE152r3QtqiwZYZeWn 4G5blILhFtzfOTV98Sn0hYLLnV4CMkRQEzKRDvqFAcveodcDDoGwaCGfPaWB 86DQiNbgCAbCdPEPewjBIFt5jNuu8Ts8NOncN9KMQcG187zip+8B5jCqEvZ+ GFgjH8+rleC+xrPTn7s/HA6HDdBrx3tgfsWSOnAbA6NRTaokIQaUn1S+CNrx AXyV3VhqTmMg+a25s2wuARok6mq2+xdBREcywZYXA939Apz9nuh74atELHjo jOfLYR2JSzS074d5YbLFZfdpyAJCXtEwWjc/HZv94mXAFASYMzY8IKJ6b0OK 8Whr6CRQFwx6+pOQf0nEFHkzg4igTAl9YnMc6ainYYvlG8MnQD2nz6VAAOml +DWeNqObJ+CtoaWi+x9UJ+lI2zbDk4L7ERaTno1diM8usEvx7+Adh917l/c+ b0FxdOfz6I/BdALsytZeQylgqkPI7dLj5yOA1JPcCuMyBlgsXnP4xU2GY/kK cgURTOtHqd/KtIbIMLf2HeVsA4rzdeZLVPF8CqRBXqn7IlP/Xtp38HWigtXa t2ZCB5nmsCYuzW09TIPg6mOF4ddQ/DslJOzqW6aBDDu7f3M205yC9U0Qa6LD ZyVpc89+FOdJCffflxlTwdlHi/jWEdf5393e8NXbgJrrD5L2ZQy4qdvdupRI IFElGpgf5w6lAiYq2R6T0G5+sqiXBY9biSfF7bF3oa1138FtMQSwnT3e+Pkr 9l/ffMT91hDQSLwUlKE3BGp3+0aI+Ri4siuWXWmJAI3anAn7y92wS8pbXvAW Hp8cm3ebDMVCwtTEXkPxJuDpd5M9eQyD1GTjwhLHRAjseJRf6JYFlKca3Nab MWjQhq2qJBRva48o1rBqzEC6gZ3Rhkdo34aSfdaX5U9Ow5OORBb5d2jd89XQ er5koynAdBfubL+IePVWpFNL8uAEFOnpH/wzgHR4hsP+B1Xfx8H+ETnHswTx 4fyuLmeHKQLMPOGMrvGjQnz12VvHT5Fh84SWpOkFpvPH7xbq7GfH/eauOUO3 BPTePznWv3rrTIFOmeGJUUmEyzfTs62UqeDQV7ysbI3e+5bgvlW5dbjuFWjO tE9l2pfAxtYk/iMN8hSPaG7qRO+9r3x91yj+/1rI99vfsiH8pMCPzJ9mDDAO frr6GFA8yEezZf8wxP10nvueTwm4j6MJbtsppQYe34KvUa5SIFmMkJhmSQL7 rGX+9Rn2cKBgepTVfAaOROi9m5bEv+8+671a9nrBoEGI47VbRDCVFOFpWcSf F82kXoMvEDS8hyk/VMZAxmvq1FArzldz1xfzl0IhL/30t1r2Vqgpr2us0cFg i+m1uWMfEyBvWtZmRLcMKD9f8t8SwCCAr2+OaoDeOz01ovyz/wx07oqZPfcD zctHRFxrehUyDansXiT1YbTeVNz+S6ksbgre5/LwKzkjnvlu9K2OkTwJ2vbU +xsEEc/IKr5lvEkkwgOpJbeD6xDPrLtQNG2cOgF75sMeVA2g76ZZo+6xNY/G QSvaQyb0PuKTZq/jj38VEqBc+VFV2XUaLAx8u7FLigwF7+sO+jujOOnY1Oir NEeGrriB3TaFKB7Wtq+5t+hFh/SuNN58UaZ6QtrxqEZggMla0y0DZkz7+82U kQZbGSA/5TvY8YAEC2nBYhsX98AGxZhk/VEKBH1JVi22xfP9WLVDjPQ1eB5F Je7/hvO1qnzaJTkS9Ahs81UY8gBNBdrZtT+IkKD5fFT/HwYza0tSxEf84fna qLNhvATQebEt9OtnDHjYUhsyrULBit18Y7TZIPQPLZf2Z2KgcDB5RNcqEqwE C2oGzbvgVaBjd4kDHg+6hjkH/ePAqNxC95Tge7BueTPaoIhB/pc6W/Z3iUif arPH3yiYBv/sfJ/rQ6hu76r5RCOndArOSJop3wlBekmofRK/uEmY0Nq/20oG +Ytb3U1P/lQS4Uzp+OamEKR/XtM3Gf+qngBiLml8wAS9R1++16ThhnE4m/ps 2k+Eqd+pnW3ToVYCtN4yFVH4SYUGZ8mp5xEU+CZ56+U0N9M5StYbkx+do4K2 chLrwmmUvzXPLevUd9JgYlp1xDyAqf9AOnN0hkiDj05/31Yy7fdUlMK6q6mY DnMbkv376ej9nnrwsEzMgwEX1/+meIgz1ZNlrhpxDNKBdumG4+co/P1qrehs L9OC6cA7SlFkMjy5I00KM8Xzdxla7mx0BEI/fzF1/TiIz53p+ziE+8fNzaoH ZUKgprPItxeGwXLwLunvUwyihK2ytkpEwAE6GCZY9sCBdGuHBE9chzxOvyd0 OBYangvGnJZoAbXGfdrVJzDQthQr3b0df483dbZcrHwMYvluxeZbMeBTMTtQ n4Xyl33gWKa35QwY67PaXMXQXKdU2/vfa69OQ4WnrinvN1QXJRqdOlTrMgVH +D79nDdF9Zm8we6VXM9JyA2r5CpiR3WY+Yznyr6uRPhazD2cGojy98xrLe8a rwkw0RbTSzZBOqGTPbdQaQMBBt9Qa70ZDAgrbwvZlUkCXkoXn/9flKeV8g/u vVomAdluPS8xG+EZx7uG5G3x92HaXm93BOFC5gn9vS1k8AP2puavKE4qbsmH vhSnAEnCnm/KnUkPcB8P9YzF9UCkKZ8YB8K1o9L1Q+kUOLdlzRm+EqZ+Wm8N 7wiT/85tNxPdqolwxaK9e+PeUfHvsqfX5m9MOvmlUeq4EK6TJ7XX1fgg/Jwe 2YI/nAbaBs+OhvAwrYNQ2D+7YDTQKI//dKASxadLxGYamzYdJLfGlSacRbhW xZ0rwc/ocJ4krCpARvG59blchg43AyJn7P8ZRjLto7VPWYn1DgN63KxtkkUQ vpHgc7F5jAHJr4VO9r1GeThRP/yVjuunT7WpUY8jScCna33dP0wH9kmuvtJ/ TQUjTzO14lu4bjn7TV/8gxUUnyuvEP9KBuNqNr9LJiQQxhpYIcAR4tQG3im0 YPDwstjVLcdIsGwLk5uC3XDv03Na9f00dMzOkjT3kuCeRASdUewNGnsspt5+ nwRvrpK/optJoK4avCLk7wd/a9tm+nsnwIO9492mOQw0HOPG+b4FQs2BB7lH aATYFNzKWzSI65z3Dr4aeiFgdPpnS73gd7jsG/O3ugGDDCfSTomKe1DxxY9X i3sY/p59ldz5BIPLl988CNSKgIi+vQnNp/tB7PnnV4lxGCj/uMq7+iIKDli+ OVx6sAfiPM8GmXhg0JaxvtfhfCxgbtR09rOfoH9/GCXLHIP9B00dtk7Hg4to rtjTT83w8GohMU4Tgy/PNQMY+xJBZKHs7oWLr6HO71B4xAEMnF2Dajg9kiDQ wPTN7OkCcNt2v0GZG/cLVayc6iUof136O5rrh2ZAeKbNJjLr0f9w5ZwC4SjT GUgx/lig9RDNP8byiWq8GJuGzPSG/GklNP/oPpb6ep3FNMSZd/8UVEH1WPPd diLEiSmwZ7nDv3YYrYPQvu9wXHCcgmjOihLFMMQDW3+2cMiScN327/i6JwGo Ttv8is+z7dYkfCp/ut5LCfFDl2OIqDOVCNl8G+Ue5qA6rXz7NXriDSL09/P+ bEpFvLF3gBLA+3MCVLxjNvG7MM1rKzk61rlMgEFM5TqWW4hPxDiOa/5eGIcj 2Rkvr+gj3XjOdnXlasA47GIdmNi1hyk/tjzn/r1KgCJiw5yHIMq/uZeJMBRK gFOrIvVHf9OAT7+k3fQjHpdn6F80OhHPEOeCYtbJkqHmqQBn6nWEh2zlKtt4 nwzbI6KpiRsQbqVh4fbyFxlUzdT2Tz1CPPPAm238oRkFNogm1iwAwvMOXC+j 1lFgxUWWWvoN8UxEc4fipr1U4OnrtIn3Qjh/2xrJHbg/D+1OuxXIhfCwTYoP n9KpwBt/9fdcMbrPQSWnAfbzNGi0PtgYf5ppXvu7iWNrNQ2y3xw/1DOOeMby PutD6e10UNuQ/NspCOE7LmwN+epLh6BTEfwfdjOdDxjT/b5vjA6/ONoGml6j 576tIqmu5CQDwkmsI7QLTPtoHT2w172UAV6Wrl77mNarAqcN3lpUMuCCqSR/ Ca7zmn71pjyTkIBzljaeg7U0EKKcdCrwIwH1kHhxlKQJsHmSzaM+UMBD+Ac5 7Cru67fYFvHkXwPzXzfjd3wiAc+OKz6HdUlwbv3nuxyNt8Dn1sfnc40z8GHR +Jm4LAnXOSLDMgKeIPpM+ph+1xQ0sm1ZryRAAhkpo6rqbT7gZBrJHzpEBNbv Yfbb/uI+ixzd1b8zANLyzHf9JIxD74XE+cFJDO4RWF+e2BYMIiqvu5RWxqB3 4420l58waErmoujfxXX4qNjnRb4ReFdD665/gccrv2ziwZUwINTfETkgPQjy m9cffpmBAfWRxy/ju5Fg6tmylUe1Fxiig0/cg3C/uLX+zsf1MeAg1EKIleyC JhHlei97DAL5Yvr5suNA9nHasmBCG3w3MF1IN8Bg/d5iibaYBJh9keKa/KYB NDSV1SOOYDApuXWx+HMiNPh9kPz8thJkBorLrwhicL8mUvz5lmQIvKuTyxl8 D84UUo+c2YDByeLHbd0nUL2u8MKRnG3pM2Dda5py7Q2af4wKL1ySF5wB2dn3 u7RC0Pxjb8pwoU7ONNS6Xg9IVEF17IF2kihdeBr+nr5cNLyA+kM+SbFsWft0 CoxmKd1+z5D+PBdyc2at5BTs0dSR8wpB/SFJ615EJZROQsuxTz/p5kiXKl+u DuKXmQRQMq0PVkX9aRcOu72klxBhP6/iP69MpFe/rtIC7Q8Rwd1czTs7BPWH vMo/kD9QOQGVwq3u3beQjr1wUyOmT2EC+l5P7mmxQHWPyWu2pONvx4HnnthJ Z0WmOZULffJZ6uPQweNhwiGM8oZwfa9W6HsCuHsaCzoynbewYXt+leVxAswa Xpyt/0cHg9XX+1RfkEA/a8ztyjTiGV0ejsgRPjIYhcdy14UgPE7i1olsPzJw uEgarwgiHD57FTSPkuHSJ9FfvW8R/xS4Zz8vAQr8Fl+ZppkxnWsj2Le98jEF dO82B2I/0fU57H9+vJWNCvJuMyY9CQhvy83rMnKlQs/SYpv2AaZ93YdKJzL6 qVBbT331txHxj6WXZfUvZRqo7T068ciK6bwxvj2Tzrk0cAu9XSX5h2k/do2I aoM1dFA32zqhm47wU85cynRrOlyUirYuUWKa1855zF3aSgex5Z8RtG7EPzxy EyU+kgyIcKimCd1iWv+VlS2rTWJAgcN16ggrwhN+ZMrV/2bApqer9sP5TPvb xOcUENXpMH/eeVks5L991B0ZkwtnIe3LT9y9UMGm43Fy2nVcL1UIL2cqXIU1 Ylx5uYZkOIwpLLca/cdvpxsfi9yEDcbdNTwnMXhZfCwyA4+bgtZDY1mf3MGr /t/xJu1p+LASsKC2mwQmktTu82O3oV/t56rw5UlQX9iukLkBx3nCp30+3YWO 8sS1U+YTIPasbGiOjIHt444Oae8gKLBZair0JADjZHp/eQ8GL4qPvjg9GQLz W2N0Lu8YBY6dx7CjbzAwfM9hLGUcBm1avhlKQkOQVj5y9X0eBmKBAh9uTESA y+N5oxsafRBF7ilfF4HrrqCtWpOXokH7Xf2m3dLdcODjSZGZm/jvB7UuwmIs rIlp1E126QDzowyXzAsYfBakOGOQALKUHXrZTY0wd242YbMaBsP0oqNnfBLB SkW1NyGiCn5J0HZ6iOI8dp+FMfY+CRrKJEU9nqYDYVRjWXMTBm8O9ZPDfyO9 FMMXWHn99QzMatWdKo4oQfmV9CTGUnUGMjL30x0voPlH2Yv+Hn/fTcMLlvvc tcpoHeFxr4bzbXX8eXc96FwWQOsIyQVVAj+ap2DER37+XTPq5xepbDrgpzsF PU/9nPtDUb2rx6dWj9AxCZZCG311b6J1BP9IO1+GwSSw/AywXlFG6whJX3xu yHwiwkSKUBrHbsRLQcSiar8zRChOO1BVwYl4yUktiturZwK8P0rU/2QgveR3 7qKvzrkJ4N6rx3NtGuklltc99wWHxkEk8cqK3Xukl6QvkwTWXBkHtxjx3bxM c3g+teSSujECRJRuDmckobz0tUv/s+sqAdL3vR24i+uAkYwsJ28iCd79XZEW fcV0Pnv37/gDumQQbstndzVEuPdSKb9bGRnE8qjB+6mIZ4JfnNAo4KTA9umL Zr+iER7p674lw50C3EL7ov6JM51rc3j1+IF+CpTZZpm4NiGeKbQmSp05RoUf Sq9u6l9mWteYtQoZL6CCUpEyf808uh+Zo/XWL1lp4GQ5rDTFdJ/nlu783n0T 92t5wg99pRHeUxg3K9xFg7bZTUV32hHPWJNDYzbJ0kHlGS9n/HWmdUMV3s6a +3Qou3LvI2E9wnt9Vt3+/abDB6GsfRn56LnzHjrxZcQS98eOxh21qkz7a50S SZf4wACtC3fWuHxF/NMVWeTsrcKAym2iV0rjcZ4RPK1HbwKIOrjv9GdV/PqD d43u9SLBZc8xW1nLy+Czc1xa4gwFwjzUNT0tcL3kXGgSyeUAzz989k/WJsGs TtRS3gkSeEUUZb2Wc4XZiJbSruMzMHTapa9CggQLMdx9DdZe0JtjptxnMgXv eHO2yG3FcamXabu0fWGDh/AhzJgIn1vmM6N/Y3DCWtsi/XAgOCTtPbLWfhzC /nhsafiO88auE9nmz4JhsTRghxDnGLzpUDN/8wGDHr9x0fP890CjqM7oPs83 cDbJeXuiDIMax/OfDj0Mh0Wl20+2qw7AJ3uJDU9TcB5r7RbT3B4Faqce9NQo fIWLl0ZzJn0w8M9zKn1eEgPcqyk3V892goWXlCWrNQYj57pMqMfjweqdc+mT Zx/A2ua9b5o27vskrk8+HUoAqyUh2W1X6yBeLpCy4RAGdLvbL9n24PwT8Hjd tu8lYBfqoKnHj4H0COflUAvEP3nH/shX/Z4BicNtNzij0/6HNyWTo+puzwB5 w1cWrwo0/3jYr9hu499pSOZxaTC9jOYfvXsVR1PuTkPf6DG6nSpax2GrTxq4 unYaHn3nbhwho37+DS8usHJHTsGna4+fqWagumvYRYEn4exTYDXCN88XjPr5 L0QVtWvETYKgRaJTsjaqx/6UYYs4xjkJNcfS4jYIIb/Gn359tTyaCE7JZ+zG dyC/JrpdXvfcViJoCxqpRC0hXlqzsVVOJXECqO62B54xkF6SipDKtuabgFwj fznxPqSXmnkW1Oyzcb67Q4r2LEFxPab3/oyy0DiIpzcmbshBeaMjcHlC9xEB zqnnV04GMO033F7oki9MgJN3GGzrQhlAvni8T/IpCSpOmDY7/0D8c1f0bHg7 GxkEvbV5uhIQnlKVy+XgQgbWyaUoOQmElyeH1H3CdQOVhX/kUyvin+I5+10V 8hSYfSrnT7Jj6lvgjzZIxnWJSwiXHusahA8Oirc+XqZAY4N7z89spr6d6NlH TrZUWOQs+iV9BOFRx7HglA4qcJtW8rN8QfyTf9/kKUWKBkvrNX+UMe0HfayC JV8zmQYWpORFY1aEf+PTabwyT4P6EKMBFaY50kvLMUnLF+gAORwbc04i/MrT LcqpuC48+iPSet13pvWsOfa9NrsZwF4Y76Xkx3SujdRht/F7DHh789r+mm0I 178e3fSewgADWa7+gTL0Xv2fqqmRAuhgxbb+xLUw3GfH7xITe2MA3/0WhbP8 qDCY+88+34kE5YGrjwgr1mB81LLQJpEMzYY5b7dewH0fPcT2x5cboK3Te/RR KAbF6+UWelVwf/egevz8fnfI07re/Dd0Gtq8lGdBBP+9hCphz6nbwHGocO5m 9iSYr5vYPraRBNpPQuf0xe/C5JGy+dHUCdAfOar/l4bzT7i08R6JIChtaZW7 VUkAv6sVv0r6MJBRPJfalBoCIqX1G7kyR+Flh+3PO3UYLPD7KkuuD4OXm/1M IHUI9ALbl1sfYXCK7iCzkBIBfsdiZlOb+sDYoEteNxrnk9dvymY3RoMyV13u ZGk3XBL5aCTsioHX68e8vY9jITDAxK3T6iOkVarKZJlgUJ4enXh7RwJ0hY0o ibY1gc4lfdUzgEGfkZdFjhHu4wTmC384V4PZea6z/uI4j4U0fV3IwPmq59W1 i7F5ULRIHj3GiYG7G33Zphvx1T9P8bcp7TOgI3CiNz3pKdJRaeLGHjozIHDn jo6ZL5p/vHLEaNj0yzTkfpE0O6uM5h85zKnJdWemoZjvsHXMAbQO+JvAmUX+ OgVCDRdZrAyRXmJtc9Z5bT4Fz835Y8NYkF76oXhcmm14EkriCtRvL6D6kqiI +uKlK5Mw3pUsr1KD6kvyu/+dNhghglpfku3AKOIr0/6N58MvE+FDtdCFNz2I r9rYj2q3TEyA8Z5vkxsqkF7ibhlzC7GegDIT/01VxUgvpUywU9mxcZAWuGtK DEN6ScPKfZP8rXE4ofP3XyrTvEvzNQPLYToBhLTt1J6boPx7FcuX/ccd191b nT9eVqHDnZ97dzkMkGDPE09/uUbEM8/G1eL4jpGBUn15c+hlJr66NzquhusD Id7a6suLiE/m7hiZla6lQJGwjgYtFeEJS8du59hRYFPepT3L8kx9IDIvvDd1 UKDXcXpP/Bem9e5tJpVSslQIDtPEbl5nmjMaqTBeTaWCZR2mmbUW4cMP/6wt /0OFhoWcVEoOus8H291ntlnRYEPQvuf3VJjOlTjhXvYT12cvLu6jPmY6z5VQ fyp1lxgd3gydX+fvifD1rUkHPkTQIbWH1fUrN8LrQuwzyBQ6jPLJ/ysvYzp/ keF4uvksA1iLZc73aTGda6MhZmnwmgGWZp5H9QiIfw4or6Q4ejJgneKTNyVJ OP/oDW66Kq0Is6eaR3t88etUrBCzvUOChHPB4RbNZtDQOtU0FEmBVZ00fn8r EtSoh63pHLCDDd93hxtHkSCocv41+TQJ+FjaaFciXUDRr+2QdfAMdOVe1aRI kyD3UtqAd60nLO5resOdMgUNccbsh3lJkCG17impzAeU7XpFFdOIQO6uC/ry BwNf47iWDY0B4L8DDvx5NA5l+9cHfxrHQOBvwQFD62Bgcxf8VRw6Blqk83eq 2zE4w7bI2tUeCi4n5ri0Ur4BP9uHD0EVGFxueF8uYxgOk8u3r4q8GIBAFf6s slScN47sjf3UEQnaowfdpl59BdH6YVFpfwzaBvm21ZvEwGxWfGrM+S+Q8LEy Tt0W573DMgJBjDhoqFzfO57bCrmDHCrpehgIP2HfqPwiAfJkC9h3O9UDpjKS cloeA1LbyX6z34mQp7ajtL/4GXSURd6+uAMDq46PGpmKOP+ocikEOTtCcKzm +XNrMYi0j61euI7qS0fm41OwiBmoovJ9vlmF5h/HgiRkd3POgM3aHfQvt9D8 4+OXbCcYsdPQ9fSr4ooKWo++dVJ9tZB7GviCrmwWd0d6yYFRGsWWNgVcJW0N 38SQXnJyavzQvGMKjsc/4/mwDuklt9MyxQ74d+P2ZxnZ992ovpTaMrahePck 6JudpJ96i+pLVdO0wc5MInR8fS9fOox83NKmhKnLIkS4evT0YPI7pJcu9Xpf j8ifgM52PoOGZ0gvNfypSskUmwDle5USnulIL51XO5h8oXQcOP+xYnMuKK5/ GOppOMqMw9LFTI8IS5Q3KQ31KfbPCTA1tGz39CTK4/ZZsW2BsgTIsH24QjjO AP51rVEMUTKEpvZwFXsh/onMVr/dE0GGrSvme1q5Ed7F6hhdSyJDR9IhrtFn iGeyf/XoPNXH8+XRB8Mf+kx9y6LCxM5KCoh6+7zqmEHXseipXovxUeHh3kuj FSEIZ7wwWj3sT4WSKe0s210Il3dz1cyfoILD/gMmi68Qz+wyudb67xQNAjQP 96SfRziPj9r+zBIaRAhbuP2loefy3bG19BgHHWpleqiXYpnmIsfjRwnOdHCq Ya+tkUR43P2jpIavdODYYFkx2MKki1zeHE5WYgCbxJgtqw3TnJGiNJaay4DY qzcr1/5B72kwJX/ciMaAxz7lrsVpuD45O2VoS94Ir7zWcH5fpUFU7tCLyQDc l3G2fapOuABGoow51fVUoMzr1cfb4bpo7Pg5E0dbKOd4lzrCSYaHge2q/mdw HlthFzFzdYYGm84jwesxqDurK2ilgPuyxacjU64eoK/0oD6c47/5o9YVlZ0k aJLMabp35w481FXf1LNzEkTJhmdM1pLA2j/yW6G7P1Ts9+Ki7p6AlSBh+6kZ XOc0OoBySxBk/ZM0nlAhgM2+4OrKL7jeEBb/0i4bCm3eptHFqSNw7Trf6Oor DIpu5LhLF4VBV4jP6KHHgzA9wvj4JhuDTTwfLMYPRYIDp0Wlel0v1Ib1Sb7F dZyJjgNh4Fk0mDo3el4s6YIFz3eMckdcjy2Q7hfrxkFe2sG9poHtINjy6EXG WQymc3X1Te0SIMHQxHJ7/XtI002ZaVfGYCxmdMfKo0RYcynwn8zDF5C05tPk dWEMPj/R2tSOJYHGq5nbxw4nAV/Tg+3aGzH4R60bKt2N+Gdn1fBT9aIZML+t VP3GH80/Ksbub9KWmoHvdX1JfgfR/OM6z1KugvJpqDn6r3WfCuqjOGZ4X1vh 0DT8iF46emMjqm8fcrBIXqqagowjW4i7VVF9WyVjOxuoTsHS/IThvg2ovv38 ndKNmreTwFN+vVpwEtWRRn7E/Q1Wn4SdfE4J9a9RHeln0EI8Vy0R7l0o/nj8 MuKf4lk9QTd1IsTfked/qo34Z+utocF9jROQ4nk7feIQ4p+ZsY6QLScmwIsu sJNPFPGPR3wmHOoYh12bNfPIy0gXbTe9It5pMA4Pv+irJoyhPDi4LXwpr4sA f7kru6U7UV5qwG7TY+cIcOIo22ROHR00NPnehTFIYG4S+o2nGPGM9vvniUdN yHBucHqjpSbCXW766T19TQYJ6d0GP8YQz/DQFPdn7aBARKmN22oAwkNXC5/c D6SAQNbsj/U7mM6vOarFcXqCAmGW52LPVyOeUa649cRZlwo2JImfkoZMvmzD 1oqWStyX3Y8gfZ1B9xPyNeT9Gx4aCHzgG/wehnDu4cCNB3zwvK7fnuQqjPBa zmIF/REafI9mXDtTh3hmgrc5aOkoHWpC+wTyLBA+UHrfveQhHZqo6/fRF9Dz pbom6/FuYED5flaDe/eZdJHzLtNfN3BdJOV/vOAgwh11BXs3fGWArOHdlpQP iJf8vhlrh67ivmwue31ZDK5nFoZaastOwj6+iPLWJSqMfA67T3TD8TQ1zfWL liB/c+T+bVyfcedO3nQyx3VRdkf5yVPXwfLZXa8uVhJYTgirmGiQYGRztN62 YVcovd8oobF2BiZofg5e+3D/9S6ih32jNxTzz1al75qC2owpPhkunH+k7aLO TPhCZ5Dj0Qw+IlS+lnqlNY+Bbmq7iWxEIBhtZtNkkxwHy8/TWS++YaCgMr7V bjUYsOmJY4n3v4N0qfjRuiacT+Y61Ptt7gHvlqgkYsIwtD7xqmApxoCHb4ok +ysc1nh4k7jf98POB2pOeYkYZJgF1lZfiwLZsr/yMRU9EPF7bGe2N/73HZpO PfkXA7IWGSecjT6D5J7HBzstMIhydUszSYkHrGMo9EZ9C4hSPd+lnsLAuLTt vcCaRNBoTDdmN38LShJimk1SGMxtKE2q1k2CNU1yZoZbC2HdJS2O49v+m8My 9L4ZinxZRfXTlk5sBsad9+4THsz9H26kcCooyWEG1HcnqPuXoPnHSC+p7Dn6 NLTsbU0a10bzj9rztt6qN6eBtK3wcbcq6vPJV5mpFPoxBbJqjbdTbNC6f77X SpCAzxQEiwTnpG9B6/656k73dJcmIULCr+/aWuTLDneKkbYHTMIX6s/Ca/Wo jnQ2TXZz9woRGg249tlZIl/mpTe1J96XCNvOD6XzmyFfpifeW661jgjSq2YZ gYeRLytQ4f9DCpwADqEX63IOIV+Wxpf/eD/rBPzdpafSx4345zDp3fSduHH4 /ePjoaUpFNeftJQusXKNw9kRUnkg0znkKzcXD8mkEKDt4emVPW9Rfp9/KN3Z yEUAeqwa394PDEgtdmfVWPffeQTiyWapiH+mF9g7uj6S4eXD+C9tnxGflMl+ NpSXpgDN4ZOO/U2mfUS32V0PTaZAaJiCLB8rwuOC0mL/WFCBY/tajtyj6Do0 xS/k2onTwNTj1B95D6b9igOLtBzo+O92zJ6VK0H3M338EwQb0OGlyWczAT2m Oc+S5o8xVXRopfV+5phEPNDdnf29j58B7a3Lb5qCmerMEq963QMYoOVCbBbf ifAisRCOpikGzHnwx/a/YJqbfrGZzSmPDg9sPtuxRJDgs9O702dF9CH4q8+N +QwqpERJ94g74zrHwWkx2Noa1miFSZ98TobYkK+Zry7iuuXGw6q0/TcAa7x4 l1KAwb6KYmm3o7jOubts86zXDfYVBlN4302CQ8SHzUHsJDjhsv53VbcfyP8u dzj3hQCNP47ekxzAfYevBXuwawi8vLlypOnrEIiR6rX0HmNg9DjR5qhzBMi+ OuqoTeuGeV2u62/dcP9SfMEjxy8W8nqPldvqNoPnlT9cdA1cbwRdpn84mgiB CRu59zo+BE5WDcO3XDie7BNq9A7lqfWuKdV/RjPwy17UuysOzT82CDbus7o4 Dbw1wcW9Fajfxud889CAzRTsOnw163sLyq+190MEs8YnYei0u8iWtyi/3ClF ikn2kzBQvztzwBvVPdacfH/YcpIIrr8+dai9Q/nV8uVVHoctEQxa0/dCFcov T5dtk1TyBOh+euHNmYDyy+xvgbPI9Qn4N5fKOhqD8svCWzw1kDEOB4ejw/Kv o/zSsalZr+c9Ds+eOs4NaTDtr68aWO2wQICJ+9tSt6miOL2Qf55+3Y8AaeFa p/S306Hj+hXOGEUy9BxSjeG8ivLowGj/tYplMrjWNiqQslFepCg/KhWxosBG 6wXqbRWmfS+l4pKWmyiA3dy8MacP5UsXhXs+Q4KK+82Ix39vIbzCeHtP8TwV yJpBrfQCdH1KhbfG4sxocHVO4s0mDYS7JU5Fj9bR4ADbS87ab0z6n7OnTz8Y 1/8xrU36Akz59eXvWmU9BrS2Z6RaG6DnciFe/IBtMgOktBwcpFJwPX813zHb Sg5shRy2yBdS4PXhlsB1Nrg+3/frgouaHfT/0nEtejgDuvqjtyNkSLCsOWL6 9bonnBsrFxytIcKiyUMP1xUMvEQ4P950DgDefrKNa8MYxN0eY1P8iAGbwfo7 cY9CIZR7M1247xs4Esw+iTzHQI6yKFwuHg6TFkvHCxgDYPaQA5NNx3UyVe/9 1oJIMCpaeu+7+BXYXIcmvwRgQPVwPN1yMAYI1BjpC71fQGJh/snwNQwGxEa9 9D7EgYtUp/0/gTZ4l/w8dccZDJImzbavyUsAETuFZSPlBuBVj7o+o4DBzJKk ffAEnkex1zWy2irATzMjeXgnBr7vJV/s24vyyLnAZsffhBnItKquIFWj+cfa gjlPwQfT0Bkj9O3Da9Q3ksE59Ck0dwqenTHXkSYj/Rxc4JKxUjAJOfdWt5o+ QD49lLPiw/dHRFj+uZy29S3Sw2xHjVgqiiag0YNOaItHulewW1v94wvcXzfy 8VecRzynen+O9us1AUr3F71n24/iy37DVVuGMq5jh329ukRwXRVFYrcTJIPj lop4hbtM+wg5zqY2EMmQfKho7VAVU9/XYWV/idMU+GNrvcvlPNN++MJ/Vutx flf0yc0cojHFs8HiX5MteDzr5mccj0L4SNHidKM3Fd4x8p7370E42754npwR KiS5bwpfrkVxXjdtXe8DNBh9rjQsZI7w7NZylnuPabDaTU7mnUdxnt23X/40 /t1abXK1P5+M8Df7v0TZO9CB4NrBJS+H8HUZs36v8O9i2r9CQeJHpjl6I4NZ VjkGtGnrFSUx7R8nr1SA1a0ywMHmV8W3TPTc52+7HkveQ4UnY7cleB3w70hr xZOlzqtgNWLo3bEX959/m86tHibBOQLF4riwB9Q2bd9w5+gkyLoc1lhaR4LL 2mzjW0X8QUiOJ7bFhACFVZxast0YLNrKHo/YhPvWqT9vX4wPQv2paQH1XAx2 ttMT97HjecF/XOM1pQvi89ay6TnhcTuT9stjTxxYZdf0mh9vhGYDzVpHVQxG 6pqKxeITQUR3lHTl/ks48X9NXXc8le8bbhhFIlHIaJARpVBIbnslmRFCCQ2J jOwRspVV0jCypWFkj9CSmex1OIezHSqSlN/7/ef3+NPz8TnnvPd93dd9Xc96 08bW5vZi/ehpfqB5P6b3jsV0DtHTwL+HGvN+CwlstxtcymBDftPMqVTa/A0R xBz8g8vC0fvl2bmIBX3HiFD/Irj5hxo6/8jvlKbe+3YW3u41cF2oRvsWvu+4 Ptp/fBYMD+tFlt9D+xYu3o3p926YgZNDWdfd1tA8/Asxt/QLGjNwreuIfXAb modvEfS3MWwlgKKz4qPyQuQ3ZRpXVGp0CMDFtLR8wQ/5zdbC6iDhNjyUeRGO Fqig+mrqf+Nl1D4NEXtNpKmcqL5URKsoeb1TINJl3FU4gfrLN2K16ZEhHLyz s5NOfI35Lv1+rjJjCigat0UT9VAdeZXzvIkvp8DB2QjStllULwbGDXJZO6lg rD/m9DsSjd9V2T66258KPBfiGsNE0Ph8tCR5XJMGxVzur+ssUL1YRWUnVW2j gwb3Mut0PKoLXRtB7uMDdDBTDYpybEU4v/Tj295jT+ZAMb/N1+UvwvM3o1c7 rzox4IMBJVJWHo0XHgsdDdrDgJhNDm+kEzE8hzUuDutqgNU+S38DATpwS5jU hHthfoolsY+/5AIMtNpN9RymQkfMjqF5G6xfRCptJhZdgS11eStvxMkgvsuC f1WdDJIGAl6zkR5gyKl1PXofEewylp7tlCBDbl6HmVOFDzSPiN6uUpqBhsF3 ya84sf+XTkiSTwsA0oqWgvpxPDQBVxF5kQR6q9Ejl+1CYawrrS5Cbwq+42UG lMZJ4CqVbOkwcAdo+m9KLHsnwPPkm/aT70mw+8TA61SVSJAde+5R3zsCe0LY 3uaWkGAKBG1ef4kCRb/2O/u/fwW3ookxNT/MlzHx+b3oj4csrVy+mBMfQKNg jxCfLgk+Ufj6Jmn3ITSbKvPmVxFUMCzFP/CQgHPmJXnZHfWLWPxulkJ3IjAl Hd2/UorOPzoQzhS7eM/C4PJ3/Se1aN28L1WiLSVsBg607hSnfEPzvVrSLsMv 7hJgMbcldjUc+RedWwWcmeF4UPPcuSFQCeko06y5tB0x07D6KS4tnxPppSkj 5+w2jmkweXtZ4e93NE/yJ2gkaT5tCtYqRy5UfUJ8NqAfaC6yawpqlM9ltazz /c81pGLqH+Mgbv7HufB168PzlddEju3GwePNu+5x5zHAMePwFjNOChxfu5ak E7tuX43s39efBikgevUJqecdwrkK/2u5nEwq2IaSnX79Rp9bmaZXO3GNBjOb TSZr153n38Bi88r9GB0yUlQpEi4I/4IlJBXLFToEz7221chEv5uSY52bjX3f 6yXVxV+D69ZfDvp807SjgVDl17+C18ngkp54VjX9EuR2m65YXybBEcuqphOK WFxeeTos+3nCfGXnrw+BBDAM/Ct2igXj8zFmGt43CKRScStxKTg4/k3UWeYb CdzmdcSYG8OhueiPb531MNza3fdKKwfz6SfUVl7XRYOas2p/qGsvtCxGKYbf JEHnp6WKrd0JsEEp4N2kdisIWT5zenEK0zMi9zu8nTB9Itnhw3nxKWhR01yb 2TE8m1zy9CYgvFXxOnuQ1YmgFNuzZ9oFnX+0erhr4x6dWQwnM7u1stC6Z4oK f02G6QxohH0OOqyNeFXg+aUXT0emwcVnk+lqN9LhHWfm1FJwUyBh7iYllov4 UDhJkNmQiAPLleopY28apJ0X4MzUpACzWkjsigXKe82udsNCVipM3ek2XEha 5ytrhzQFb1Bh+2SzRZA0GndQfupWf5wGyvarUuOX1u03ZYwdfbOBDg+K611I 6Sjvtksbure20+HU8/T2e90o776hZgFwbw728+sIW7OhcXPOwVhjKwboxLZs 11dHeFjFfd3oYcmAEVHCNukkMgzKcZZILCuDsIejb9h1KmjYX3/x244MHud2 vzjk6QL3N+nO8V0igvkPMrvRIQwPXubnBDl9QJj+W+LebTyMnR5OlPlNArUP rLhOtlDYwmUURdCbhA3Wn8iKn0gQ20JL3TEfAVyKSmpt4h8hVMhlhM+ABC9c ahZvfrgPanb2g15tpcDH73ehZzcJtPtcuzgNUN5XNRs4+0KJ0OPrRV4oQ+cf E9tEuFoiZ6GvJTr5aC1abzreG6oXf38Gbmw5oRhnj3jmEola8y2NAKa8DkZS HIhnZpoOURtT8PC0PKpDZwX1zdIbmZ0Oj6ZhUvhUXVU36pvxBTtI47lTwKSy XCOXiPiETk04OVyMg/3xRtt0sHyu+uWy+0lS4JnIYsJed4ST9Of44GoGBTYt VQpMFa3b95thLGvtPQdL//SugijKo+n9g34iqgzQ2+q5198G5fHFKV8jy24G BF6ltUo9JIOqQVehnqgIvPjimj9NoMIRNhELdicsj7++/q1gdgIBsuFPJTwR NPJ6ZlqOkqFox2Wb2DYviO515Dq0ggeey9etK9dI4FLBNgAfg2FXl6bI2h4c 7Hm4JC7XRYLgYf4L7JYRgNu38q/kyhBs8/odcuIJCZasn0o+ORcDDh80Sxau 9YDt6YBBbsyvSrKcPI7zTITmjUvEfpV34Kozyy15AutHNr+i+6rR+UdqROuo T/4s1J6rOGBbg+bt/+kfNQl6OQMLyUHWnV7IX+Q4LPqLVhCAupjRHymC/IWo jXzOv3I8mMu7O40FoDxe3rLx1FrNNGS3Z7KMnEV5LF0JSa1umQJuPblb0vwo j1GqFlncnzGea918+wuVBqGNmrd2RlFBYNRC/C43ylfoYKXjmjENBFrwChl6 qH5LRZwXGvjoQPeTKxwNRfV7rPmExaVpOlwZvqh1ogrl19D53AdRDAdGcpp9 XvMovxaJUU/CbjFAm537727xde/DiJCpjJ3EdA5u1EImDsv7tcW0zJ26kLjL 2mDvdwqYV1RtJlmRIaDSxjoHdxVadP0/xbFPQfvbTEeZERL805XtuC4aDhs0 3MvZjEfAq2u62LmQBKqUUt83wtEgMXUMv+j2FbK1p6x+e5OAq8ONO0syAWRN OBfO6L4HpqM99ru1SEC44fv67M4kyCLcjqBL5YPxh+MLdTtIMLo0zzT9ENXv 7vBbq4EORLAqmrPeVITOPx5lCtTicJoF6uELG1nr0LzoTaseeHxrBqaC5nn1 DdD8jKj79HLEbQIUyot97FpB9VsoekA+xBMPE8cy5d74Ip2w/PWUXQv2N6/n yM20s0gnVCbOBZqx4ECbz/GxHJEB8Ul9S4H3qcCx5UOO4NZ16xSBrnfeYX6M V0hm95Dquvdq3zDdI7qfDneldYO9b687n155PtaVSocsPHDKvET55TicmRZV NgcJ11c2c6+7j/Lnvf1MWhM4cK7d2EkexHSXsKPGRbtweP1MRYz5+zAkC9XR t+Vj/XFD/uq4dTTIsgWc9ef4Cuq4I94xniTw2C+du/lKAtwPcCNHxrVB/EUT v0Z1EpzN6D5ucxTrp4wjMzFWz6E5nsLqz0mC0NxmvY8VKC8dY1qlbeYYr08u ccTzoXkz/n/S7kfPz8L5rVLdy15o3kyen7GP6DwD3Vlbc9ny+2GgdN5QV44C bdRCQ1NnxG/vtwu4li1ToD82RIaYheL57bWHNFfIHHwkid+IEUDx+dH0aXJB lwEFwz01BSYoPhTl2gWHHAY0n9UHaioZeCfYFbwXZaBaX1LBDqufXcWjlW2X yMD2WDrk3ZwTFJexJXeWESF6vwCP5REyZB4P5g9T8wbcniePZD/j4V8Gj5vG XyxukR1ncrRCIJ316yPziUk4qpZnvPiFBMT5LWU37kcgfduXlPyhkABlU4Q7 z30Rz9D2JjXMFuBhBxO/oVYJ4hkHN5W+1tJpON5uLdUZgngm5PFAyt2qKUg5 ICTDqY14JiEkVqChAQf3u9bclDC+ONXlr7+PnwIXvggb+4aieD5/LPesBUeB X3+d/gxUo3jq5B5zbJKlAZPFPbsBzI+zqZB6DMIcQf4RV/qcHAl8vm2Y+6KA +ZS+BGHGoicYbGAJ6ziN+cnyfKX2zWSwLP3oqLMUBLjPkRJVzjgwDOpLZGB+ fJD1uL/Lr3D4tOtkyeLaEEj7TzWsYX48U3Sz9OfFaDC+FipGZe+FMYUDPPw3 MF1n7y42si0RjLXInIF3WmDU+NHBkydJYD1w/Ed1BOL53VufaVzqmoZl7wZv xhrSXVlzWmoX+6cg+4jVDGsP0l3iX01ClkZxkMdcOdyYTYMtY2qLQz5USG6w ym3ej+Jg6H03Nk2NBkaiOzmZzqM61br4+nflVjqcUyRn4u+hOt12x2LjoT46 JO7WSnf7gHBY8MDr9mL6HPzYJLY/dwMa/6nqt7D/EgPyrfcW+pxYp6snePL+ O7cixK4eTftPB3x6nUDiUQcJhgjr31NUkFwT5yi3xXC74i6jaHsFsu7r8U1T ioFDGVcRzUuCZw4TOaouqB7zT4Z9KvMiAsvpTTyKR5Cfum7bohnsNwt21/me hPkjP0V7rjpjEjkDXqm215OrkM4xtInu9YklwJaNxX90nRFPlkZGsxRE4cE6 XLb8pSTiyeK+EUexhGlwF16eKF6bgYqHQu8ynlCBtDFw6N/qunndM+cPHT5C h/bTam7Xr6F4BuLSQ2x+0UGkZoOAas46XRq/c0+IFwluyPy0ZlHC/G8O7758 Y08I/V7rJZBAALOmmyLb/9v/qf7eje9sENCkzR8E5eBg+DGllIb5izMphnaE YsxfjJy88td3GCZOd1mwPCdBdbJ5qlkh5i9qg2rL4nthe1yRlok7CUTUuwhu tQkwP1myuiGqFeTOL3YHqpLAQnEzL5sNxodEwX3jpzJhyUNNLGQbCd5fLDxB G0Hx3zf4Hv9SmwjVG/PKni6g/ZYeAZVHd1JxcDKb816YMw1ynpYYWath9fiH bgDnUZ2e0+MwK2aigrZJvA4jFeGz/uAKp5ccDSZuZcaIOaN47hdSbvz3gQ6+ gfajGV9R3BoP/OjdFD8HY975Hx9woHHPtawrbJjfEM9Ylr2ntW7fS7zLlxsY /7rJvMdTMT3/sunHiHayIrg/EX1W6k+FrG9hU3X2ZLjXbjQQKOYCzk2snKdu ESH588ECQWkyLLgs7Wqf8f7/5/E9Ofh1PIIIX49pjx6RR3o7QyW1aChmFgwU XhJ2+SO9bYx7cNUgdQbeDocEymkgHF7bzVH27BEBnDx0m7wZiD8N+7ZNf3iI h6rW3BA/CuJP5uy4x15Pp8HMq4ipvmnde+o9Mk89KpyCu0/XepJDEH+qDRy8 kvUSB8xyeTU+ZnRga1Q4LX+QAkmjjkZOnigv8v0HI2tpFHBuu8Uz+WLd++LJ 2/jMJxjAdaszg4Lp5ww/hysN8byw4ZdMx/afVEgIUYjtdPpvXYxNgqX6Mszn cfDa/SBCSABHWNIxDLfMLIKKj71g13aThGA2AggUjJvd3UCGi/ztVl5Pg2HI uap2XgoHjXb1N79j+tk2UOQBRTMCekyV5+h3h8C38KfYb0w/R75906qqGfP/ 3xXnxvuIpRoPbloJfJyuKD71J+lsOxsxPbN3m/EEoPhwveegeH6YgvQi5Zg4 NhSfEYm5juEOHAhcsxZdHaPBRjuf+G/hVEg/eYDjPe+6+2BbuZmrztCgsf9u 6vRphM/0317n63npsClLVG08HNX70qy7luUkHZ6XSVho1CJ8Jm9dEiTlzcGW +88D3/xA+PQONvE/eZMBYnv0ROyk0Lj0Rz72d/e+QtoznNIXHxLsE+CXfs6T AFyJP2ttw99D6vYD9wYxnSmYsLemfGsSNPd9cxMWLoAirqbgYG4SXL21t1E8 EdWv3OhoY9RlIlg7NhmqSSGdeSpwfvzA1Vm4lH3HjOaPdGa0y6zDeZ8ZOHZW yXpBGulM6czNC0YBBKi/v01RYHwMslKXR+MeUGGFKbuBYzOK261xiwNFEnSQ qNf0mXdfd2/h6d9MlxfoYG+UlapQiOJToVKvE1Y5DNUVbdkxuSRo1w/6lB6G 6bpLqxG7OnuhsJJmS/fA+unRIC2lpARoluHw1NzaBvYXnucKqZHA9Co575gO Foejk8r1AdlgE5L2YJUDi1u4fPPwRxSHX+cjPymdIYLP/BkcD3Md1It1dfYo UWDC88uXT/aoLhJKUuxf/qMAxxyzMjUDPVf5pLxosBEDiDWXvfecRvlqxN+3 c4lgwAPVqKTrKWSwHaxXDv0gBzw/8snMj6hg0/TytNpFMnSWNUiJxDoDi1KM cWQyEbb7ZI3XyJDhzFnldLEUxDP+3mdzjmUTIE5yV/a2CsQPgitd3QOZeCDg J2Ym2hH+y1kvn3iSNw0aIncetmUi/Fez1JE4X09BnMP2NeNLCP/EYqt3h9/i 4FOoKc+QAh0O6Fi1F4tQ4LaZevecH4rDdcXSpMZZChy5SGMdLVu3f1vk3rn8 nST4Ix5VdVge6180/acpel4gG3UoSuwQASRlWnQk/lvXwOvZjesHg236s4U+ PYyP5nTX3DEdI9AitaVICKv3itoOj9YhMN1B9Qh8RoL7N0Z+hQuieh8+L5lG 6ZyCR676Vfp0pH9C/4ocvPINB1NVrCEXmmjA/HS0+VwQFdJWG4Y0BNetzz7p 0D2oSwOWvx0mnqaoft1KkyVrOOkgTWNxx8UgfN6Rx+9XH6YDn9NbH6tmhE9B Y4V2t8w5CNa/3C21gvJeYTej8OoKA2aVKxwpsmhcrSxRM5SpCGzyuh9t5iFB +NUQ2XJ/hEPXuJeaT12JoDboIFsvjfbJmLsOc5l4zILD3c5fb1eQnqmN5H7e HzQDfQvt0+rfUR9R+as9NX2HANN6o/xvssfgsh/O39OVANpKcdKuzGQwva1z 9VVOEDj/cbXPiMBB8jZ7Ybc+EiSfUaeJ9WL6wbcuxk9lGJjxg1vDs0nwcvSQ w/ZuTD9wrzGMDHvB28FZutKNBAHGIpG5+ATYm2xwt5GpFVgtdP+MqpDAklUo YupmEjAZqXUyKdPgwenzHan2KM4Puz9O8nTSYXN7b01Ex7r788fLRQOT5+BK /YyXEOu6+/NFOEof2DDA2T+etkkVxfOKgqqilx4DdAQ3H3e9j/XxAqkAdrtT 0KGdY2phSwUC2fz2CTvseacnw0aaXVA+DUt8SsJmwdbYUc1wBfVl4ZZr4l3x M8B7Yu7HdCCKp3VN+zu2ZAKo1viOT0ghfRj0wuDn23t4iHp+jZ+HDelDK+Xy NcO0abD/3ONRPjkD8wo7OxqkKVDseLdz1HXd+6E8snzffqfAM/Hfe/H56/bb JOMjrJsZQHJgp197QAYPjmc/yRdEwTarJPRtPxW+pm7Zq38Z66fhj/sczZzA QDq+j7ePCEzdKQY/ZcnwR6glY4zuBaupPimDZDxw7PvtQPhHApezp83YF4LB VKEnnIMDB77dsjjPThJkH+cRlb6GfFydrlnJ0is8aIialRXFIT7Z3s9zk1o5 DWLecg399ohP9GS/q/5tnILU2UM2neKIT+TN6z1Pv8eBmWDp54wVGvwT3mFl GkuFJ/7R6rqc6HlFqVYtuuY08HmpNmiijXDSom0Z07SHDkNmGlwjQevuM3z0 z+nGDB0Ob3gsJ12BcMLa+vbmRUyvpAxMSyrSEU4k/hjWSRl9hZe0qdvi3hg/ BbUtP1FNAAceKXFgfw9eZkGylpokKDLqKaAKYrp3USCj/kQeLAe8dPzNhenq gHenn2SjOv0jtVX5li0RLBhCV9vE0T02B+NZS5YcZuFy/YlX+/6gvmmpXys8 7jYDMS8KerNcUN8kRZz9tmcTDq5c8Jmo+8WA/wGx2+17 "]], {GrayLevel[0], AbsoluteThickness[0.5], Opacity[1], Dashing[0.038], LineBox[{{-0.041999999999999815`, 0.9467499999999998}, {-0.8739999999999997, -0.40525000000000144`}}]}, {GrayLevel[0], AbsolutePointSize[8.170000000000002], Opacity[1], PointBox[{-0.4579999999999993, 0.25074999999999914`}]}, {GrayLevel[0], AbsolutePointSize[8.170000000000002], Opacity[1], PointBox[{-0.8899999999999997, -0.4292500000000006}]}, {AbsolutePointSize[8.170000000000002], Dashing[0.038], Arrowheads[ 0.0626], ArrowBox[{{0.734, 0.6587499999999995}, {0.6299999999999999, 0.7627499999999978}}]}, {GrayLevel[0], AbsolutePointSize[8.170000000000002], AbsoluteThickness[ 0.5], Opacity[1], Dashing[0.038], Arrowheads[0.04], EdgeForm[None], InsetBox["", {-1.8739999999999997`, -0.8692500000000001}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[8.170000000000002], AbsoluteThickness[ 0.5], Opacity[1], Dashing[0.038], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["Pursued's position", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-1.8899999999999997`, -0.83725}, { Left, Baseline}]}, {AbsolutePointSize[8.170000000000002], Arrowheads[0.026400000000000003`], ArrowBox[{{-1.4819999999999998`, -0.6852500000000008}, \ {-1.0179999999999993`, -0.4852500000000024}}]}, {GrayLevel[0], AbsolutePointSize[8.170000000000002], AbsoluteThickness[ 0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["Pursuer's position", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-1.754, 1.0667499999999999`}, { Left, Baseline}]}, {AbsolutePointSize[8.170000000000002], Arrowheads[0.0318], ArrowBox[{{-1.354, 0.9707499999999998}, {-0.5460000000000003, 0.3147500000000001}}]}, {GrayLevel[0], AbsolutePointSize[5.37], Opacity[1], PointBox[{0.006000000000000227, 0.010749999999999815`}]}, {GrayLevel[0], AbsolutePointSize[5.37], AbsoluteThickness[0.5], Opacity[ 1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], ArrowBox[{{0.5259999999999998, -0.013250000000000206`}, { 0.5339999999999998, 0.06674999999999986}}]}, {GrayLevel[0], AbsolutePointSize[5.37], AbsoluteThickness[0.5], Opacity[ 1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], ArrowBox[{{-0.3780000000000001, -0.3572499999999996}, \ {-0.32200000000000006`, -0.4212499999999997}}]}, {GrayLevel[0], AbsolutePointSize[5.37], AbsoluteThickness[0.5], Opacity[ 1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["Pursuer's limit cycle", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {0.6299999999999999, -0.9892500000000002}, { Left, Baseline}]}, {AbsolutePointSize[5.37], Arrowheads[0.026400000000000003`], ArrowBox[{{0.9180000000000001, -0.8852500000000001}, { 0.5099999999999998, -0.2612500000000004}}]}, {GrayLevel[0], AbsolutePointSize[5.37], AbsoluteThickness[0.5], Opacity[ 1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["0", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline-> Baseline], {0.038000000000000256`, -0.06125000000000025}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[5.37], AbsoluteThickness[0.5], Opacity[ 1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], ArrowBox[{{-0.0019999999999997797`, -1.9172499999999992`}, \ {-0.0019999999999997797`, 1.946750000000001}}]}, {GrayLevel[0], AbsolutePointSize[5.37], AbsoluteThickness[0.5], Opacity[ 1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["y", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline-> Baseline], {0.11800000000000033`, 1.8187500000000005`}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[5.37], AbsoluteThickness[0.5], Opacity[ 1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], ArrowBox[{{-1.9220000000000002`, -0.005250000000000199}, { 1.9900000000000007`, 0.002749999999999808}}]}, {GrayLevel[0], AbsolutePointSize[5.37], AbsoluteThickness[0.5], Opacity[ 1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["x", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {1.798, 0.13074999999999992`}, { Left, Baseline}]}, {Dashing[0.0105], LineBox[{{0.006000000000000227, 0.018749999999999822`}, {-0.4339999999999993, 0.25075000000000003`}}]}, {Dashing[0.0161], LineBox[{{-0.8819999999999997, -0.4372499999999997}, \ {-0.0019999999999997797`, 0.0027500000000006963`}}]}, {GrayLevel[0], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], LineBox[{{-0.5059999999999993, 0.17074999999999996`}, {-0.41799999999999926`, 0.12274999999999991`}}]}, {GrayLevel[0], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], LineBox[{{-0.41800000000000015`, 0.13074999999999992`}, {-0.3700000000000001, 0.21075}}]}, {GrayLevel[0], AbsolutePointSize[5.37], AbsoluteThickness[0.5], Opacity[ 1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["\[Rho]", CellBaseline->Baseline], {-0.6579999999999999, 0.0987499999999999}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[5.37], AbsoluteThickness[0.5], Opacity[ 1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["R", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline-> Baseline], {-0.23399999999999999`, 0.20274999999999999`}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[5.37], AbsoluteThickness[0.5], Opacity[ 1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["a", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline-> Baseline], {-0.28200000000000003`, -0.18125000000000036`}, { Left, Baseline}]}}, Axes->False, AxesOrigin->{0, 0}, Frame->False, FrameTicks->None, ImageSize->{262.40000000000003`, 262.4}, PlotRange->2, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], "\[IndentingNewLine]", RowBox[{ StyleBox[ RowBox[{ StyleBox["Figure", "Text"], StyleBox[" ", "Text"], StyleBox["5.", "Text"], StyleBox[" ", "Text"], StyleBox["A", "Text"], StyleBox[" ", "Text"], StyleBox["geometric", "Text"], StyleBox[" ", "Text"], StyleBox["representation", "Text"], StyleBox[" ", "Text"], StyleBox["of", "Text"], StyleBox[" ", "Text"], "\[Rho]", " ", "as", " ", "t"}], FontFamily->"Times"], "\[RightArrow]", RowBox[{"\[Infinity]", "."}]}]}]}]], "Text", CellChangeTimes->{ 3.480202520247768*^9, 3.480206307080662*^9, {3.48020635601511*^9, 3.4802063859718113`*^9}, {3.4802146984035587`*^9, 3.480214743567039*^9}}, TextAlignment->Center], Cell[TextData[{ StyleBox["Example (2)", FontWeight->"Bold", FontVariations->{"Underline"->True}], "\n\tHere is a classic problem proposed by A.S. Hathaway in 1920 and \ restated by Nahin (2007): \"A dog at the center of a circular pond makes \ straight for a duck which is swimming [counterclockwise] along the edge of \ the pond. If the rate of swimming of the dog is to the rate of swimming of \ the duck as k : 1, determine the equation of the curve of pursuit...", Cell[BoxData[ FormBox["\"\<\!\(\* StyleBox[ SuperscriptBox[\"\", RowBox[{\"[\", \"15\", \"]\"}]], FontSize->7]\)\>", TraditionalForm]]], ". Figure 6 shows us the position vectors of the dog and the duck at some \ time ", StyleBox["t", FontSlant->"Italic"], " \[GreaterEqual] 0. For simplicity, we will refer to the dog as hound and \ denote its position vector ", StyleBox["h", FontWeight->"Bold"], "(t) and ", StyleBox["d", FontWeight->"Bold"], "(t) for the duck's position vector. We will use \[Rho](t) to represent the \ separation between the hound and the duck. We have" }], "Text", CellChangeTimes->{{3.4802080341779823`*^9, 3.480208042382921*^9}, { 3.480208171234969*^9, 3.480208303947956*^9}, {3.480208675672024*^9, 3.480208707345318*^9}, {3.480208742305181*^9, 3.480208743832416*^9}, { 3.480208795087723*^9, 3.4802087978867493`*^9}, {3.480208829802487*^9, 3.4802088893244343`*^9}, {3.480208942989881*^9, 3.48020894882478*^9}, { 3.480208986847412*^9, 3.480209069993485*^9}, {3.4802091052066383`*^9, 3.480209107173975*^9}, 3.480213958840762*^9, {3.4802147890582733`*^9, 3.480214810058963*^9}, {3.480250684257566*^9, 3.48025068559695*^9}}], Cell[TextData[{ "(3.1) ", StyleBox[" \t\t\t d", FontWeight->"Bold"], "(", StyleBox["t", FontSlant->"Italic"], ") = ", StyleBox["h", FontWeight->"Bold"], "(", StyleBox["t", FontSlant->"Italic"], ") + \[Rho](", StyleBox["t", FontSlant->"Italic"], ")." }], "Text", CellChangeTimes->{{3.480209116640272*^9, 3.480209143096064*^9}, 3.480209175033863*^9, {3.4802107095201607`*^9, 3.480210738712551*^9}, { 3.480250704360284*^9, 3.480250705396103*^9}, 3.481061925363903*^9}], Cell["Using Cartesian coordinates we have", "Text", CellChangeTimes->{{3.480209178198329*^9, 3.480209193200356*^9}}], Cell[TextData[{ "(3.2)\t\t ", StyleBox[" d", FontWeight->"Bold"], "(", StyleBox["t", FontSlant->"Italic"], ") = ", Cell[BoxData[ FormBox[ RowBox[{ SubscriptBox["x", "d"], "(", "t", ")"}], TraditionalForm]]], " + ", StyleBox["i", FontSlant->"Italic"], Cell[BoxData[ FormBox[ RowBox[{ SubscriptBox["y", "d"], "(", "t", ")"}], TraditionalForm]]], " and ", StyleBox["h", FontWeight->"Bold"], "(", StyleBox["t", FontSlant->"Italic"], ") = ", Cell[BoxData[ FormBox[ RowBox[{ RowBox[{ SubscriptBox["x", "h"], "(", "t", ")"}], " ", "+", " "}], TraditionalForm]]], StyleBox["i", FontSlant->"Italic"], Cell[BoxData[ FormBox[ RowBox[{ SubscriptBox["y", "h"], "(", "t", ")"}], TraditionalForm]]] }], "Text", CellChangeTimes->{{3.480209214587509*^9, 3.480209254480382*^9}, { 3.480209328549357*^9, 3.4802093573628407`*^9}, {3.480210750478001*^9, 3.480210765081122*^9}, {3.480250697431604*^9, 3.480250702752914*^9}, 3.481061927008152*^9}], Cell[TextData[{ "Since this is a pure pursuit problem, the hound's velocity vector, ", Cell[BoxData[ FormBox[ RowBox[{ RowBox[{ RowBox[{ StyleBox[ RowBox[{ StyleBox["d", FontSlant->"Italic"], StyleBox["h", FontWeight->"Bold", FontSlant->"Plain"]}]], StyleBox["(", FontSlant->"Plain"], StyleBox["t", FontSlant->"Italic"], StyleBox[")", FontSlant->"Plain"]}], StyleBox["/", FontSlant->"Plain"], StyleBox["dt", FontSlant->"Italic"]}], StyleBox[",", FontSlant->"Italic"], RowBox[{ "is", " ", "always", " ", "pointing", " ", "at", " ", "the", " ", "duck", " "}]}], TraditionalForm]], FormatType->"TraditionalForm"], "with the hound's speed being \[VerticalSeparator]", StyleBox["d", FontSlant->"Italic"], StyleBox["h", FontWeight->"Bold"], "(", StyleBox["t", FontSlant->"Italic"], ")/", StyleBox["dt", FontSlant->"Italic"], "\[VerticalSeparator]. This vector is denoted \[Rho](", StyleBox["t", FontSlant->"Italic"], ") = ", StyleBox["d", FontWeight->"Bold"], "(", StyleBox["t", FontSlant->"Italic"], ") - ", StyleBox["h", FontWeight->"Bold"], "(", StyleBox["t", FontSlant->"Italic"], ") (Figure 6). The unit vector from the hound to the duck is" }], "Text", CellChangeTimes->{{3.4802093920970488`*^9, 3.480209432787673*^9}, { 3.480209477045947*^9, 3.4802094957089653`*^9}, {3.4802095315306273`*^9, 3.480209565813973*^9}, {3.480209601996666*^9, 3.480209692744301*^9}, { 3.4802097313214808`*^9, 3.480209795161076*^9}, {3.480209827233992*^9, 3.480209892267199*^9}}], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"(", "3.3", ")"}], " ", FractionBox[ RowBox[{" ", RowBox[{"\[Rho]", RowBox[{"(", "t", ")"}], " "}]}], RowBox[{"\[VerticalSeparator]", RowBox[{"\[Rho]", RowBox[{"(", "t", ")"}]}], "\[VerticalSeparator]"}]]}], ","}]], "Text", CellChangeTimes->{{3.480209897794643*^9, 3.480209986810376*^9}, { 3.480210780763679*^9, 3.4802107994039907`*^9}, 3.4802147627563667`*^9, { 3.480250691695063*^9, 3.4802506947889547`*^9}, 3.48106193023707*^9}, FontFamily->"Times"], Cell["\<\ and since we know the speed of the hound we can write its velocity vector as\ \>", "Text", CellChangeTimes->{{3.480210016781892*^9, 3.48021004705035*^9}}], Cell[TextData[{ "(3.4)\t\t\t ", Cell[BoxData[ FormBox[ FractionBox[ RowBox[{ StyleBox[ RowBox[{"d", StyleBox["h", FontWeight->"Bold", FontSlant->"Plain"]}]], "(", "t", ")"}], StyleBox["dt", FontSlant->"Italic"]], TraditionalForm]]], "=", Cell[BoxData[ FormBox[ RowBox[{"\[VerticalSeparator]", FractionBox[ RowBox[{ StyleBox[ RowBox[{"d", StyleBox["h", FontWeight->"Bold", FontSlant->"Plain"]}]], "(", "t", ")"}], StyleBox["dt", FontSlant->"Italic"]], "\[VerticalSeparator]"}], TraditionalForm]]], " \[CenterDot] ", Cell[BoxData[ FormBox[ FractionBox[ RowBox[{" ", RowBox[{"\[Rho]", "(", "t", ")"}], " "}], RowBox[{"\[VerticalSeparator]", " ", RowBox[{"\[Rho]", "(", "t", ")"}], " ", "\[VerticalSeparator]"}]], TraditionalForm]]], "." }], "Text", CellChangeTimes->{{3.4802100535257587`*^9, 3.480210184894722*^9}, { 3.480210815615982*^9, 3.4802108233538933`*^9}, 3.480210873549272*^9, { 3.480214754659645*^9, 3.480214758636327*^9}, {3.4802507075676727`*^9, 3.480250711291407*^9}, 3.481061931901751*^9}], Cell[BoxData[{ GraphicsBox[{ {AbsolutePointSize[5.83], PointBox[{-1.0259999999999998`, -1.1332500000000003`}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], ArrowBox[{{-1.0179999999999998`, -1.7332500000000008`}, \ {-1.0179999999999998`, 1.6827499999999977`}}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], ArrowBox[{{-1.6099999999999999`, -1.1492500000000003`}, { 1.9340000000000006`, -1.149250000000002}}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["y", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-0.9380000000000002, 1.4987499999999994`}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[3], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["x", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {1.782, -1.0452500000000002`}, { Left, Baseline}]}, {Arrowheads[0.035], ArrowBox[{{-1.0099999999999998`, -1.1332500000000003`}, {-0.25, 0.5547499999999985}}]}, {Arrowheads[0.036000000000000004`], ArrowBox[{{-1.0259999999999998`, -1.1412500000000003`}, { 1.1420000000000003`, -0.5492500000000016}}]}, {GrayLevel[0], AbsolutePointSize[5.12], Opacity[1], PointBox[{1.2060000000000004`, -0.5172500000000024}]}, {GrayLevel[0], AbsolutePointSize[5.12], Opacity[1], PointBox[{-0.23399999999999999`, 0.6187499999999977}]}, {AbsolutePointSize[5.12], Arrowheads[0.035], ArrowBox[{{ 1.1420000000000003`, -0.4452500000000006}, {-0.12199999999999944`, 0.5547499999999976}}]}, {GrayLevel[0], AbsolutePointSize[5.12], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell[TextData[{ StyleBox["d", FontWeight->"Bold"], "(t)" }], GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-0.7459999999999996, -0.1252500000000003}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[5.12], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["\[Rho](t)", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {0.5259999999999998, 0.17874999999999996`}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[5.12], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell[TextData[{ StyleBox["h", FontWeight->"Bold"], "(t)" }], GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {0.014000000000000234`, -0.9412499999999993}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[5.12], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["0", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-0.9699999999999998, -1.2532500000000004`}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[5.12], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox["", {-0.3860000000000001, 0.7387499999999996}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[5.12], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["duck", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {-0.33000000000000007`, 0.7147500000000004}, { Left, Baseline}]}, {GrayLevel[0], AbsolutePointSize[5.12], AbsoluteThickness[0.5], Opacity[1], Dashing[{}], Arrowheads[0.04], EdgeForm[None], InsetBox[Cell["hound", GeneratedCell->False, CellAutoOverwrite->False, CellBaseline->Baseline], {1.295, -0.5404500000000008}, {Left, Baseline}, Offset[{33., 44.800000000000004`}, {0., 0.}], {{1., 0.}, {0., 3.7333333333333334`}}]}}, Axes->False, AxesOrigin->{0, 0}, Frame->False, FrameTicks->None, ImageMargins->{{0., 2.7000623958883807`*^-12}, {3.4070524179696804`*^-12, 2.2737367544323206`*^-13}}, ImageSize->{215.20000000000127`, 215.19999999999635`}, PlotRange->2, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], "\[IndentingNewLine]", StyleBox[ RowBox[{ "Figure", " ", "6.", " ", "The", " ", "geometry", " ", "of", " ", "the", " ", "general", " ", "pursuit", " ", "between", " ", "a", " ", "hound", " ", "and", " ", "duck"}], FontFamily->"Times"]}], "Text", CellChangeTimes->{{3.480207056747501*^9, 3.480207060279666*^9}, { 3.480214354380167*^9, 3.4802143940352917`*^9}}, TextAlignment->Center], Cell["The velocity vector of the duck is", "Text", CellChangeTimes->{{3.480210226536626*^9, 3.480210238507637*^9}}], Cell[BoxData[ RowBox[{ FractionBox[ RowBox[{ StyleBox[ RowBox[{ StyleBox["d", FontSlant->"Italic"], StyleBox["d", FontWeight->"Bold"]}]], RowBox[{"(", StyleBox["t", FontSlant->"Italic"], ")"}]}], StyleBox["dt", FontSlant->"Italic"]], "=", RowBox[{ FractionBox[ StyleBox[ SubscriptBox["dx", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], "+", StyleBox[ RowBox[{"i", FractionBox[ SubscriptBox["dy", "d"], StyleBox["dt", FontSlant->"Italic"]]}], FontSlant->"Italic"]}]}]], "Text", CellChangeTimes->{{3.480210251918511*^9, 3.480210364392931*^9}, { 3.480210847642681*^9, 3.4802108682974577`*^9}, 3.4802112177560596`*^9, { 3.480211277873498*^9, 3.48021128223886*^9}}, TextAlignment->Center, FontFamily->"Times"], Cell["And now the speed of the duck can be shown as", "Text", CellChangeTimes->{{3.480210390204821*^9, 3.480210404360359*^9}}], Cell[BoxData[ FormBox[ StyleBox[ RowBox[{"\[VerticalSeparator]", FractionBox[ RowBox[{ StyleBox[ RowBox[{"d", StyleBox["d", FontWeight->"Bold", FontSlant->"Plain"]}]], "(", "t", ")"}], StyleBox["dt", FontSlant->"Italic"]], "\[VerticalSeparator]", RowBox[{"=", RowBox[{ SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dx", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dy", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"]}]], "."}]}]}], FontWeight->"Plain"], TraditionalForm]], "Input", CellChangeTimes->{{3.480210427426201*^9, 3.4802104778690166`*^9}, 3.4802106347110577`*^9, {3.4802108821127157`*^9, 3.480210904600897*^9}, 3.480211222572014*^9, {3.480211263689884*^9, 3.480211265624432*^9}}, TextAlignment->Center], Cell[TextData[{ "We know the hound moves ", StyleBox["k", FontSlant->"Italic"], " times that of the duck, so" }], "Text", CellChangeTimes->{{3.4802104910628138`*^9, 3.480210505382573*^9}, { 3.4802105657496653`*^9, 3.480210569808673*^9}, 3.480213981876761*^9}], Cell[BoxData[ StyleBox[ RowBox[{ RowBox[{"\[VerticalSeparator]", FractionBox[ RowBox[{ StyleBox[ RowBox[{ StyleBox["d", FontSlant->"Italic"], StyleBox["h", FontWeight->"Bold", FontSlant->"Plain"]}]], RowBox[{"(", "t", ")"}]}], StyleBox["dt", FontSlant->"Italic"]], "\[VerticalSeparator]", RowBox[{"=", RowBox[{ StyleBox["k", FontSlant->"Italic"], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dx", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dy", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"]}]]}]}]}], ","}], FontFamily->"Times"]], "Text", CellChangeTimes->{{3.480210605709133*^9, 3.480210659562551*^9}, { 3.480210913319605*^9, 3.480210938754994*^9}, 3.48021122680161*^9, 3.480211260809204*^9, 3.4802140310971727`*^9}, TextAlignment->Center], Cell["and so (3.4) becomes ", "Text", CellChangeTimes->{{3.48021098389349*^9, 3.4802109984198313`*^9}, 3.481061939651803*^9}], Cell[TextData[{ "(3.5) ", Cell[BoxData[ FormBox[ FractionBox[ RowBox[{ StyleBox[ RowBox[{"d", StyleBox["h", FontWeight->"Bold", FontSlant->"Plain"]}]], "(", "t", ")"}], StyleBox["dt", FontSlant->"Italic"]], TraditionalForm]]], "=", Cell[BoxData[ FormBox[ RowBox[{ StyleBox["k", FontSlant->"Italic"], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dx", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dy", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"]}]]}], TraditionalForm]]], " \[CenterDot] ", Cell[BoxData[ FormBox[ FractionBox[ RowBox[{" ", RowBox[{"\[Rho]", RowBox[{"(", "t", ")"}]}]}], RowBox[{"\[VerticalSeparator]", RowBox[{"\[Rho]", RowBox[{"(", "t", ")"}]}], "\[VerticalSeparator]"}]], TraditionalForm]]], "." }], "Text", CellChangeTimes->{{3.480211004778495*^9, 3.480211052025557*^9}, 3.480211105258712*^9, {3.480211240096704*^9, 3.4802112406930027`*^9}, 3.480214034395822*^9, {3.480250723935986*^9, 3.4802507277834473`*^9}, 3.4810619378873053`*^9}], Cell["Now plug in \[Rho] (t) to get", "Text", CellChangeTimes->{{3.4802110792868156`*^9, 3.4802111290281773`*^9}}], Cell[BoxData[ StyleBox[ RowBox[{ FormBox[ FractionBox[ RowBox[{ StyleBox[ RowBox[{"d", StyleBox["h", FontWeight->"Bold", FontSlant->"Plain"]}]], "(", "t", ")"}], StyleBox["dt", FontSlant->"Italic"]], TraditionalForm], "=", RowBox[{ FormBox[ RowBox[{ StyleBox["k", FontSlant->"Italic"], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dx", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dy", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"]}]]}], TraditionalForm], " ", "\[CenterDot]", " ", FormBox[ RowBox[{ FractionBox[ RowBox[{" ", RowBox[{ RowBox[{ StyleBox["d", FontWeight->"Bold"], "(", StyleBox["t", FontSlant->"Italic"], ")"}], "-", RowBox[{ StyleBox["h", FontWeight->"Bold"], "(", StyleBox["t", FontSlant->"Italic"], ")"}]}]}], RowBox[{"\[VerticalSeparator]", RowBox[{ RowBox[{ StyleBox["d", FontWeight->"Bold"], "(", StyleBox["t", FontSlant->"Italic"], ")"}], "-", RowBox[{ StyleBox["h", FontWeight->"Bold"], "(", StyleBox["t", FontSlant->"Italic"], ")"}]}], "\[VerticalSeparator]"}]], "."}], TraditionalForm]}]}], FontFamily->"Times", FontWeight->"Plain"]], "Input", CellChangeTimes->{{3.480211151131043*^9, 3.4802111848868637`*^9}, { 3.4802112449034863`*^9, 3.4802112453659773`*^9}, 3.480214039333014*^9}, TextAlignment->Center], Cell["Using (3.2), plugging in the Cartesian coordinates, yields", "Text", CellChangeTimes->{{3.4802113224425583`*^9, 3.480211369443798*^9}, 3.481061941113097*^9}], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", "3.6", ")"}], " ", FractionBox[ StyleBox[ SubscriptBox["dx", "h"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]]}], "+", StyleBox[ RowBox[{"i", FractionBox[ SubscriptBox["dy", "h"], StyleBox["dt", FontSlant->"Italic"]]}], FontSlant->"Italic"]}], StyleBox["=", FontSlant->"Italic"], RowBox[{ FormBox[ RowBox[{ StyleBox["k", FontSlant->"Italic"], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dx", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dy", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"]}]]}], TraditionalForm], "\[CenterDot]", FractionBox[ RowBox[{ RowBox[{"(", StyleBox[ RowBox[{ SubscriptBox["x", "d"], "-", SubscriptBox["x", "h"]}], FontSlant->"Italic"], ")"}], "+", RowBox[{ StyleBox["i", FontSlant->"Italic"], RowBox[{"(", StyleBox[ RowBox[{ SubscriptBox["y", "d"], "-", SubscriptBox["y", "h"]}], FontSlant->"Italic"], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", StyleBox[ RowBox[{ SubscriptBox["x", "d"], "-", SubscriptBox["x", "h"]}], FontSlant->"Italic"], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", StyleBox[ RowBox[{ SubscriptBox["y", "d"], "-", SubscriptBox["y", "h"]}], FontSlant->"Italic"], ")"}], "2"]}]]]}]}], ","}]], "Text", CellChangeTimes->{{3.480211402565509*^9, 3.480211519811475*^9}, { 3.48021178944337*^9, 3.480211806800807*^9}, 3.480214043844026*^9, { 3.480215943348111*^9, 3.480215943527515*^9}, {3.480250731960943*^9, 3.480250733760355*^9}, 3.481061945112425*^9}, FontFamily->"Times"], Cell["\<\ and separating the real parts from the imaginary parts leaves us the pair of \ differential equations\ \>", "Text", CellChangeTimes->{{3.4802115307136393`*^9, 3.4802115876650887`*^9}}], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", "3.7", ")"}], " ", FractionBox[ StyleBox[ SubscriptBox["dx", "h"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]]}], "=", RowBox[{ FormBox[ RowBox[{ StyleBox["k", FontSlant->"Italic"], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dx", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dy", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"]}]]}], TraditionalForm], "\[CenterDot]", FractionBox[ RowBox[{"(", StyleBox[ RowBox[{ SubscriptBox["x", "d"], "-", SubscriptBox["x", "h"]}], FontSlant->"Italic"], ")"}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", StyleBox[ RowBox[{ SubscriptBox["x", "d"], "-", SubscriptBox["x", "h"]}], FontSlant->"Italic"], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", StyleBox[ RowBox[{ SubscriptBox["y", "d"], "-", SubscriptBox["y", "h"]}], FontSlant->"Italic"], ")"}], "2"]}]]]}]}], ","}]], "Text", CellChangeTimes->{{3.480211649158296*^9, 3.4802116887142878`*^9}, { 3.48021182060433*^9, 3.480211833676341*^9}, 3.480214047679676*^9, { 3.480250735976057*^9, 3.4802507392042017`*^9}, 3.481061946912117*^9}, FontFamily->"Times"], Cell["and", "Text", CellChangeTimes->{{3.480211690670192*^9, 3.480211691466733*^9}}], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"(", "3.8", ")"}], " ", FractionBox[ StyleBox[ SubscriptBox["dy", "h"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]]}], "=", RowBox[{ FormBox[ RowBox[{ StyleBox["k", FontSlant->"Italic"], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dx", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", FractionBox[ StyleBox[ SubscriptBox["dy", "d"], FontSlant->"Italic"], StyleBox["dt", FontSlant->"Italic"]], ")"}], "2"]}]]}], TraditionalForm], "\[CenterDot]", RowBox[{ FractionBox[ RowBox[{"(", RowBox[{ StyleBox[ SubscriptBox["y", "d"], FontSlant->"Italic"], "-", StyleBox[ SubscriptBox["y", "h"], FontSlant->"Italic"]}], ")"}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", StyleBox[ RowBox[{ SubscriptBox["x", "d"], "-", SubscriptBox["x", "h"]}], FontSlant->"Italic"], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", StyleBox[ RowBox[{ SubscriptBox["y", "d"], "-", SubscriptBox["y", "h"]}], FontSlant->"Italic"], ")"}], "2"]}]]], "."}]}]}]], "Text", CellChangeTimes->{{3.480211715950955*^9, 3.4802117493824873`*^9}, { 3.480211848514455*^9, 3.480211870889756*^9}, 3.480214050457427*^9, { 3.480250741286409*^9, 3.4802507428413067`*^9}, 3.481061948912651*^9}, FontFamily->"Times"], Cell[TextData[{ "Equations (3.7) and (3.8) are still very general. We have made no \ indication of the path of the duck or said where the hound is to start its \ pursuit. So, these equations are true for any path the duck may swim or any \ initial point in which the hound starts in pursuit. Let's now work under the \ assumption that the duck swims in a circular path of some radius, completing \ one rotation in 2\[DoubledPi] units (meaning the duck swims at a speed of one \ unit of distance per one unit of time). Let's go further and say that the \ duck will start at point (1,0) at time ", StyleBox["t ", FontSlant->"Italic"], "= 0, then" }], "Text", CellChangeTimes->{{3.480211961415703*^9, 3.4802121163651257`*^9}, { 3.480212154838629*^9, 3.480212231819852*^9}, 3.480212268925411*^9, { 3.480212299914422*^9, 3.480212401994066*^9}, {3.480212452133073*^9, 3.4802124528077497`*^9}, {3.480214065691704*^9, 3.480214066551931*^9}, { 3.481061951849401*^9, 3.481061953885274*^9}}], Cell[TextData[{ Cell[BoxData[ FormBox[ RowBox[{ SubscriptBox["x", "d"], "(", "t", ")"}], TraditionalForm]], FormatType->"TraditionalForm"], " = cos(", StyleBox["t", FontSlant->"Italic"], ") and ", Cell[BoxData[ FormBox[ SubscriptBox["y", "d"], TraditionalForm]], FormatType->"TraditionalForm"], "(", StyleBox["t", FontSlant->"Italic"], ") = sin(", StyleBox["t", FontSlant->"Italic"], ")," }], "Text", CellChangeTimes->{{3.480212461313538*^9, 3.480212538575124*^9}}, TextAlignment->Center], Cell["and plugging these into (3.7) and (3.8) gives", "Text", CellChangeTimes->{{3.480212593452244*^9, 3.4802126172318993`*^9}, { 3.481061957797929*^9, 3.481061959203876*^9}}], Cell[BoxData[ RowBox[{ StyleBox[ FractionBox[ SubscriptBox["dx", "h"], "dt"], FontSlant->"Italic"], StyleBox["=", FontSlant->"Italic"], RowBox[{ StyleBox["k", FontSlant->"Italic"], RowBox[{ SqrtBox[ RowBox[{ RowBox[{ StyleBox[ SuperscriptBox["sin", "2"], FontSlant->"Italic"], RowBox[{"(", StyleBox["t", FontSlant->"Italic"], ")"}]}], "+", RowBox[{ StyleBox[ SuperscriptBox["cos", "2"], FontSlant->"Italic"], RowBox[{"(", StyleBox["t", FontSlant->"Italic"], ")"}]}]}]], "\[CenterDot]", FractionBox[ RowBox[{"(", StyleBox[ RowBox[{ RowBox[{"cos", RowBox[{"(", "t", ")"}]}], "-", SubscriptBox["x", "h"]}], FontSlant->"Italic"], ")"}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", StyleBox[ RowBox[{ RowBox[{"cos", RowBox[{"(", "t", ")"}]}], "-", SubscriptBox["x", "h"]}], FontSlant->"Italic"], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", StyleBox[ RowBox[{ RowBox[{"sin", RowBox[{"(", "t", ")"}]}], "-", SubscriptBox["y", "h"]}], FontSlant->"Italic"], ")"}], "2"]}]]]}]}]}]], "Text", CellChangeTimes->{{3.480212700410611*^9, 3.480212805317507*^9}, { 3.480213011223997*^9, 3.480213015156086*^9}, {3.480213052361371*^9, 3.48021307517315*^9}, {3.480213261644697*^9, 3.480213264705385*^9}, 3.4802140742602177`*^9}, TextAlignment->Center, FontFamily->"Times"], Cell["and", "Text", CellChangeTimes->{{3.480212857513075*^9, 3.4802128583032637`*^9}}], Cell[BoxData[ RowBox[{ StyleBox[ FractionBox[ SubscriptBox["dy", "h"], "dt"], FontFamily->"Times", FontSlant->"Italic"], StyleBox["=", FontFamily->"Times", FontSlant->"Italic"], RowBox[{ StyleBox["k", FontFamily->"Times", FontSlant->"Italic"], RowBox[{ SqrtBox[ RowBox[{ RowBox[{ StyleBox[ SuperscriptBox["sin", "2"], FontSlant->"Italic"], RowBox[{"(", StyleBox["t", FontSlant->"Italic"], ")"}]}], "+", RowBox[{ StyleBox[ SuperscriptBox["cos", "2"], FontSlant->"Italic"], RowBox[{"(", StyleBox["t", FontSlant->"Italic"], ")"}]}]}]], "\[CenterDot]", FractionBox[ RowBox[{"(", StyleBox[ RowBox[{ RowBox[{"sin", RowBox[{"(", "t", ")"}]}], "-", SubscriptBox["x", "h"]}], FontSlant->"Italic"], ")"}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", StyleBox[ RowBox[{ RowBox[{"cos", RowBox[{"(", "t", ")"}]}], "-", SubscriptBox["x", "h"]}], FontSlant->"Italic"], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", StyleBox[ RowBox[{ RowBox[{"sin", RowBox[{"(", "t", ")"}]}], "-", SubscriptBox["y", "h"]}], FontSlant->"Italic"], ")"}], "2"]}]]]}]}]}]], "Text", CellChangeTimes->{{3.480212959444656*^9, 3.4802130244380503`*^9}, { 3.480213090236127*^9, 3.480213095703776*^9}, 3.4802132593757544`*^9, 3.48021407573386*^9}, TextAlignment->Center, FontFamily->"Times"], Cell["Simplifying these leaves", "Text", CellChangeTimes->{{3.4802131536029053`*^9, 3.4802131603635283`*^9}}], Cell[TextData[{ "(3.9) \t\t\t ", Cell[BoxData[ StyleBox[ FractionBox[ SubscriptBox["dx", "h"], "dt"], FontSlant->"Italic"]], CellChangeTimes->{{3.480212700410611*^9, 3.480212805317507*^9}, { 3.480213011223997*^9, 3.480213015156086*^9}, {3.480213052361371*^9, 3.48021307517315*^9}, {3.480213261644697*^9, 3.480213264705385*^9}}, TextAlignment->Center, FontFamily->"Times"], "=", StyleBox["k ", FontSlant->"Italic"], Cell[BoxData[ FormBox[ FractionBox[ RowBox[{"(", RowBox[{ RowBox[{"cos", "(", "t", ")"}], "-", SubscriptBox["x", "h"]}], ")"}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"cos", "(", "t", ")"}], "-", SubscriptBox["x", "h"]}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"sin", "(", "t", ")"}], "-", SubscriptBox["y", "h"]}], ")"}], "2"]}]]], TraditionalForm]]], " " }], "Text", CellChangeTimes->{{3.480212884184806*^9, 3.480212941221702*^9}, { 3.480213170165943*^9, 3.480213187655257*^9}, {3.480213290409712*^9, 3.4802133061251383`*^9}, {3.4802133388489313`*^9, 3.480213570172971*^9}, 3.480214078117857*^9, {3.480215923670191*^9, 3.480215928889385*^9}, 3.4810619623336983`*^9}], Cell["and", "Text", CellChangeTimes->{{3.480213190648796*^9, 3.480213191486772*^9}}], Cell[BoxData[ RowBox[{ StyleBox[ RowBox[{ StyleBox[ RowBox[{"(", "3.10", ")"}], FontSlant->"Plain"], StyleBox[ RowBox[{ StyleBox[" ", FontSlant->"Plain"], StyleBox[" ", FontSlant->"Italic"]}]], StyleBox[ FractionBox[ SubscriptBox["dy", "h"], "dt"], FontSlant->"Italic"]}], FontFamily->"Times"], StyleBox["=", FontFamily->"Times", FontSlant->"Italic"], RowBox[{ StyleBox["k", FontFamily->"Times", FontSlant->"Italic"], FractionBox[ RowBox[{"(", StyleBox[ RowBox[{ RowBox[{"sin", RowBox[{"(", "t", ")"}]}], "-", SubscriptBox["x", "h"]}], FontSlant->"Italic"], ")"}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", StyleBox[ RowBox[{ RowBox[{"cos", RowBox[{"(", "t", ")"}]}], "-", SubscriptBox["x", "h"]}], FontSlant->"Italic"], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", StyleBox[ RowBox[{ RowBox[{"sin", RowBox[{"(", "t", ")"}]}], "-", SubscriptBox["y", "h"]}], FontSlant->"Italic"], ")"}], "2"]}]]]}]}]], "Text", CellChangeTimes->{ 3.480213212093512*^9, {3.480213310682681*^9, 3.4802133249353447`*^9}, { 3.480213603715775*^9, 3.480213639790123*^9}, 3.480214080728652*^9, { 3.480215931894493*^9, 3.4802159362357616`*^9}, 3.480250754525483*^9, 3.481061963559737*^9}, FontFamily->"Times"], Cell[TextData[{ "(3.9) and (3.10) are the two equations for Hathaway's original problem and \ we can now solve these for any point the hound may be at ", StyleBox["t", FontSlant->"Italic"], " = 0. From Figure 5 we can see that for ", StyleBox["k", FontSlant->"Italic"], " < 1 the path of the hound will always become a circle with radius ", StyleBox["ka ", FontSlant->"Italic"], "(using the Pythagorean Theorem)", StyleBox[", ", FontSlant->"Italic"], "where ", StyleBox["a", FontSlant->"Italic"], " is the radius of the pond, as ", StyleBox["t", FontSlant->"Italic"], " \[RightArrow] \[Infinity]." }], "Text", CellChangeTimes->{{3.48021366581499*^9, 3.4802137502124367`*^9}, 3.480213856770557*^9, {3.480214097488401*^9, 3.480214198115357*^9}, { 3.480214228186434*^9, 3.480214228456435*^9}, {3.480214317192684*^9, 3.480214330725841*^9}, {3.480256184324198*^9, 3.4802562085781717`*^9}, { 3.4802562447813683`*^9, 3.480256261239161*^9}, {3.481061967350676*^9, 3.4810619786792507`*^9}}], Cell[BoxData[ StyleBox[ RowBox[{" ", StyleBox[ GraphicsBox[{{{}, {}, {GrayLevel[0], Thickness[0.002], LineBox[CompressedData[" 1:eJw0mnc81f/7/0syGrJHRcoI7zQRqa6MCpUKkabQNIqMSkjLiIYoFMnOHpF9 2XvvvR3HWS9EKuT7+tx+t9/5x3ncXtdzP6/78/l4OVvN7xpcZ1uxYkUQ14oV //v7/z5T8P+/dd4P3m2+TMBV2n+2RVu8QfTMoyqvJQIaxv08tbcEw6rewe77 fwmQYVZ6dnVEgL31rmdSvwhYOXpzwUj8G/BqzrE+ThHg9uxbTrd5CqT2jhg2 TxIgbux3P6A1HXoG62Ybhwk4qbnpAttcJkR6xUkGdBEQ8m405aNQDlCCvPZK NBCw3TDys7JyPqzsCX5nW0JAZeuXswWGCPu2bUl7kUnA1EGr1V6qxVAxas1r GUv2b5Owl2dFCew+OnZgTRABVVr6vfWGZXCxhFn5wJMA9dmM1BND5XBW6UJk mjn5/FdhY+qvKpBZdLnkqk+A0tOw6IdPamDp1ZdTgmpk/y1OihziroN+YZfd sWsIMH2pctZZpBH4/DYxoqZZYDMmvnBTvwnUxV3v23Wy4NvZ8Qf3eZtB8Cvr 76MvLOA6vVPIx78Ftrj/2pbrwQJ/g2jDlwatkM4ZcqPOnAWSRQNLpXxtsNzv xHt3Kwt2rNKVpvi1w+2mEsnmt0zQkEu+8MelC/bIneeov82EcDPHm0rK3cB7 7XFTjAYT2lxutToxu6GY3+/UXyYD3qb/ZzN3oRd4Pyb+1FdjwK1kz8tC8gOQ 1tv74yY3A+Ycejsrugegjt1o1qqLDicGznPreA9CsLmazeH7dODu7dI5bT8E Y5b0Os3PNBC+e2xmqnwY+u+ecmJZ0OBtz7ED/4mNQNTb1e2BCjSYcclckWE1 AhFZ/f5D3yehZKHNJIxnFIy+jF2IKaDC0q5Yiu+JMTg91JJ+15UKveKn43uD xkDvhKPb8YNUKJpff/zq+BhUZcU93/FjAiwVBXX/uIyDrn5Bu2AEBXqerx3c /oUCFyc+VPsaUYDLeHdABp0CL6lHR1ZyUCDkzL9A5f0TcOF+aOX09XHgPPh+ gKd2ArZRMiv0N45BmvqjxpxxKoR1PpoRKh+FH3qeIyHyk/DpnNH0vO0oLOo6 Hj1vPQl9Pz6t3Vw0AhYH46cvsiYhsojvotH5YWBbezBQeYwGjZ2b3a4tDsG8 iotrrAQd3iVx5H77MgSyHJdXD5rQQfBOZfjvykHoLzkTHVBBB7ONPUYSawZB gZ0jd/0iHfh6Dqn26Q2AfNLATc3dDMjo19DQquqDt6K88u0BDAjVNacusfdB yjnf5J3lDPgsy118/0gvlObGph2YZUCgnnvy94xuED9mm3tNnwm8u6zFvHw7 IPaNxUzGDBPmpQ4/FS1qh2bjXpHboizoV6mvSpxpAwGBN1eKD7JAXnT/Lo5z rVC1dKzGiNyHktsU1ww8b4F7k6Ztvl9ZEPflkOpgRjOkatGqrxWxoHqh3u7Z hiaorFo90/eHBVlZ59bdf9AAO10P+jwRJKCLf3nRtakOng5e785TJMAgbwf1 wPZaaAlkz/M7SoDizfcbCh5Xg9TKPxvnLhJw4JNcqUhzJZwq9JubukfAcI2m 2RXpCnh365nJk+cEVPRnn4lyKoPLoZuuRHwgIEN65ZqlyhIoOiK135jM6+zK 0+seixaDENui5KcsAm7cvV16u6kQHCSj79wrI2DDRfsDTrZ58M629H57EwEj T/9kaK/Nho+BcYnVvQTs041yWIz5DvkfTD+cHCf7x/OjvkwjDQ6+Cii5zCTg X0uIis+PBHCOaG9d/Elyol7qhS4tCpYvX3SV/0PAf2btuEP1M5xbq/BsdJGA nyk7E/4p+cExF55cBZKT/LmFmoIvTkPyry+cy6TO7Z3/ba/tjaH3NMzNSP1A /OZ27iMhWDW3tVmf5Oi5NSe0jFiRqGl60LqGrH/arH8iPy8en0sYX2qdJaB8 8lLrfGkqVoUv9dxmEVDW9eFdDpGB289F/5SYIEDF5V9z2sYfyNYaE/pugAB9 XdO3Rdq5yM5nt6ukjQDp3KjmcpsC/M9YYV1aNQH5BYktTXpFmHE6MfJKAQHf tpgIbBwoxrgYd/vaFAIcuZmFyfdKUUuoc+XvcAIOiiVMubGV45lF74mxtwRY xbypffS+Aosf8FT4uxMgJLTwyF+qCkv+2J9ksyHgL5v/3o4jtZh0Z/yEvDYB gykcxSP1dbgoU31thNwfrlkte+pMG/DwbjlTM2ECPON8wxeymrDLXSwleZQF whsoQ+tcmjFFejWPRxULXgUfcbQ53IInQ9ec3pzIAiuFioqlklZMPPx4Oe0u CzYqd+2QeN6GDlUezcmnWaDmZKR2V7sdR+ry9B7uJLkrq0s8L+nAFTnXXB9T maAbI/XswJNO/G0h8/dHKRPOzpb5sx3qwsNSaVEVoUwQL9p7NTGjG02Fun0t yPySGPS5GxTQh/OUQveqrwywz6qwFNDrR/5MZ2b1fQZo7dt37sa/fhxREK9L 0GaAQcG3HGeLQVSaOHZedJQO0uv9JTQ3DOPmYanntfx0uOLBpbRkOYw+mzRX cvbRYKWz82Ou3GFcuGXNtS+KBvHKmsBmPoKJug/fXt9DA9uF9adlv42iul9F hwNMwuNokTccf0bR6/p4rMOKSVjDc/rnZp0xdNB+We1cRAXlEfGMwdExVPJZ IeV/iArul4TibvJRkLbMZ2i2YwKqJGzuRF6g4FfVsRel4xR4ta8CliIomHIn 7BSEUeAgVwgu757AiZFl4tU6Cmxp/Xh+RoOKAb4zRTUDY+AoOWXo9ZSKklqP iBr/MQiqpu/fXULFhtN0rVXHxuBPmJtY4uFJXCdzY71c/CgckWMb599BQ/OP Cy8Db4+AQlO+1y9LGrKuSAnEi4yAz7O8iu7PNKzqGx/gIc+XMP6CLx+46Wi2 6k15u/gwWKvxt6Z20HF062dDyzeD0HQjgP88JwMNavfmaQ0PgMmi/DpChYH3 Ek0V5vcMgGF77b8xfwaO8M6Vzzb2QYKP56MjyEAPY71rJ8X7IM6uM/M5jYGN PbbD/rd7ocU1eazoEBN/J6UNcy53Qz9fXErmdSYmKX+Q0tbphigLtUlfXyb+ qTlT7/O2C+JlW+r7Opjov2antqFEJ3Sv+Fjde5mFm4LmJD7saoPyYQ+Fgscs TN3bmkeza4W+xicWTiGkNilzeJrRAn2cvBSrFhY+rdWXC1JqBv/13LwxDBZG KQXESzs0wSvVxZaM1QTuuXsvZduNRji9WHTtmBKBVqtV1p+9UgdODfK3q3UJ VOAT8CjtqgFDi7onm68Q6Kavr7DHoBpqbNVGD9sRGNP1syeuphIOhLzr2PWM QCPF67ZqmhWwzt83kfWeQPWeqqrp7DLIi3AveRRJlm9/2DG0sxRmxyw8WtPI 9l46vRKKKobvv3sv/y4kcNXzxpEw0SLgPa3WRa0h8Jv4jnwRsQLwZvN4HNVO oPbHAO7O5RxIPnRvRGGQwAkv/8rg8Syg7HqS5DJBILeVo5hbTQbovJ30/cAi 8JzJkkJEcipoJ8equ8wSOEexuqIjnQCivC5PSM7ifoWIQm2Su1NhdMWviwQK x7FT6FdC4Z2Z3raRfwQq4anl3dS34F+YfpyxTGDy1fB7x0vtgPPi2gAkdUTT mbZ7659giD0H9yUyvqg5P3vWNQB56rZ+L14g8Ett84LSo3A8oByTPDVP4MG7 B181fo/Bq34x4pMzBF7ScvfyYyUi3+V/exIYBPqyGAeD36ehkIPHbs8xAn0G JpTiZr7j0t1tEb96CLwYMZhbeSYbt39Wnv3TSODThVNnmpPycKvF2ah3pQSa xgs9C+NGlMjQOVKYSaDH9Gdn9r3F2BsnfeNJDIH2b/UkHQdKUNFDvKwrkMC/ X49v5PEpw+Bmf9Eqcv0O3588la9UgYe4Vu09fY/A0/QVydYDlei6j42wvUhg y+nvqus8q/HIHUWJx4oE2rXrste31WFs0ttQK0ECF+dKPaoeNuDMcHfP/B8W ZrZdasngaUKnWLPz9CIW8knh4rbUZhzw+CF9LoKFxO/tMynuLZhRzF1p9pSF t27KOtzWb8XIKwcMLA6zkIezV/3QZBv2GWhqX97IQlmuIPmjme14fbuTxPIs E3mI6lmjJx0YLKx0XCOGicGSX2g3BbpQc7lObPwxE1dXUIVMe7tQSMmzb78B E/diseTOiG7k/PppaPo3Ay/p77pqtqMXN3n+mpgi8/tl4OL+qT0DWDV6qEN7 FQN/e0SWrJkaQJlS8XfnG+iofHhVQmniIPpkf2RVmdFxz9vtD+bfDmFIZAyN 35mGCvkOmVuXhrHf4PejeDUa/pf6Tk/JeAS1nDyPCS9M4rfn9445Jo+g9M2B asdHk6jwuj3b/tIontxu+Dfaioouqm8DiKQxfE6rcdstQ8WNbzL/414xji4H lthj+ydwoz/tx96z41iX5D9peWICuQxd1GOnxlHa/PGjJxspWFMur5ghNYH9 aXc2V9aOoyNnudmkzQTqVHqGCD4ex/cqfOUCPyZQ+fg++5buMbRO89uoeoyK Epzv+8BnFFMKPz+9YTKJn6frLSbVRvHu35mANwGTGGph5tFKHcF6oZULOU2T uH3tnJST9gjKlR29x32MhlqqlaKnfw6h4Yz8L0NpOu5aEb3LJHQI75xXOa9j SseXDhz9OceGUOtZqf0OPzqyjTXOqe4axO7n/tV503TkCTDeZ2PZh87lq7cW JzFQnMtsIyW5F+NDnCSXuhnYwOV9/cTvHpQONRkRW81EX3wXMu/ZjRvLK1YR JkyUvm3XebKhC91d4xWi3Jl4mzYsnkDug0OfqiP2kfvisi5f95dPHbgxKMS/ l2DijcBIpvZAO6bt+rdjmp+F84u9eryS7ai2TfxKrxIL18tyu+3/2oq1jdG6 co4svPL91f6IoRZUDR1/5vWehYn56ivObmnBrMZoo+xUFi6vTekKCmlCt/1q 6k8nWJjixlr3NLkRLTcF7tq4kuSgV9HSB9kG3Pb7o7OrGIErltOK3UPr0KbN QTJhN4Er/zsVcUKgFh8eua0VcYxA8y+7Z7m9qtH8dMVqczLvwoKdhGsWKtFQ 9E/QpC2B/Y03HvoNleEO9jNKp/wJZHw9GZtythQjLkj2bY8g8A50ufGVFOPM ix0BlakE6pm+8SnZU4RCBX01/5Gc1X2d8iNKowD5jQb+GpKcjePPEfwqkYvG dLkEIDm7X2z8RvDfLEyVXnWXNUDg1J2/M4ntGVjYz0G5SnJ2xC6aYyElFZMI 6fz3JGc9ZT1YRwUSkN8h7ps3ydlIZ1UNr/Io7Hytdl+D5OztlI1v5pmfkbtg cDKX5OwlDf2Phaff4oO4VfQ5kpu7zGzbxDxtUOzJPbMZkqtD3rElan0eIN5u dCSV1HuThYTKfAMhZVHTbxcZv0bO6Yqe0Fcw/bXb+B7J2ZxV6WFeFrEg2Omc ZU9ytrZ7K/tAahIsZ7e0q5Cc5U++SH3xLw1ad12m5tMJpPlPx01KZcIWzXc7 V5OcLXd+Ov1IJxvOT2jPbeglMOEz03mjdR5MrIkN7G8iMF3u4ULc60LQEDzo aFtOjj+WPXJVVxGoznavLs0m0EvoV8kT7xI4zdj9MPIbgZQiLymZA2WQO335 O18wgWu12dn6J8vh6B2JhzyeBO744hoTEFQJqtkbQkLuE1hdVWCpeqwa0j9F /80iz9mujO2h32dqQLZxyxtLHZK7n29oUo83wH9HHjxwFiHw/CW+Hw+mGkHt 823uwUUWRj9L7K2ubQIlyxPH+oZYaHmEvuH1vRaQ67Ob+RzFwjBTed80jVYo TpLfZvGchTlslwd/8rVB5MogtzJz8p6wYZErJaUdWqTVZ65sYuE3n/o/gq4d YHvryMlPcyRncw7N39fthLw5p/MPG5hobjBcPz/QBc7ukQVbSc66K/luXRPX DSsMr3cTZ5jYphPqPHW3Byaky3bclGZi12hshuBiL6wVqUo0rWSgt0+6x5Gi PohYdhDr/sBAvn1iUpuf9cPZ8s+H1lxnoGq2lDGyD0JHE3+7zxIdXdVzJM0W hoBhkhOns4WO5mumnuaaDMPYypj6oDEaXlkjLK6XMQy3zn9wT46jIe9fXZ3f N0cgvZjtlbIiDUWaZlG8chSKnkSYsslN4qOqrInkzWPw5lpRSMMoFfUFB8aN 7MZgr0NBm3MYFf1t1P80ioyDzzl3ug0vFY+PmM+KmlIgN0b7hfYEBVtiHyxR Yijga2fMaxRCwb9FuxQSf1KgGjYYXDxJwfAzu2bX+0yAjaS09tWkcfQIvi7f 9I0KOtFK7pEWY7jzZlPPPIsKc30SHJ08Y1geG8y2uHcStiWcWC2ZM4p16YHn /H5Mwh7nkS1sa0fxRHaW5ZN0Ghiz06edooax7A9XrRSTBvXbnVc66A3jYcrd vI+ydNh7I39vMjGEr6/9lp8IpENi99i/yf1DuM3xa3FBLR3CwhOuTWQOorRz tPDFFQw4de+JZeDfAUx/XloydJ0B4uX1BiPu/XhDIPNr2QcGbF+rTntX1Ic+ cyOnblQw4FJzlfPSci/ybv6X3bOVCQ8E06wVXHpQnZdIOFPNhFdf3ZzqLDpR c7TIgk4w4fSQHN9JkrvenVNZSkIseKtSM1bX3I63PJ2T6i6y4N/C0YI59Ta0 CFdRFnVlwZLhry8pd1ux+NPxretCWTCp9sTpdUQL7n69JXCiiwU6a6K2D65u xrVp+o/qZllwPV1F0UKlCV8VFbgZbSBg77E382Z1DVj54I6zmxwBskMPXcIV 6tEyNE9H9wgBJfIaeh89a7HI0Y+SYUwAW4xdh8loNY6HHDIqsCJ9+OMj4bOH qpC9zflv3DsCcu7N7Vg/VYbvr0R5ekcQEFKgpph8vBSf/eR4vTqd9Om8ymOO YcXYMLT56uYiAgz79ARZVEQ+JfFL9XUEfLFdX+T1Ph85spfnRLoIoAa4XR4+ mIOeR54lLQyTvvhrkK/4eCama+8TeEAjfb597x9z33TkrrSu9J0mIDb3eE7y 9WQ88sr8kdo8AQkqq+lH0mLxS7Akw3WBAM4EGbGqhXAs2fCGYfqPgOpzGrjl VQCGHna4WL9MjteyU3iL82OMFnKS6yJ1+Tu7UA94CFK9Gw0fkfHtVfZ2GgXv wXNPNS2DrG+D2ge2kYBw6L1dyfOCbO9Xy0PrW3qxoCN1gMUk+8Nn1WpK/ZcE 9fu3VbHI/tYeaNq81jQddv0ypXuOEOC8bUi7NS0T9L69y8ohx5v2VIoZw50D s9Yngp7XE9Awe/OWmVk++Jzp4Jkk58tn34RQTybCnUqduAlyPkM+OO+Zf14M MTcfsXlEErCUq01RJ/2C+PxiTaY/AUz2d/fiOsrgfKUgvnxCgGq08FYFtwp4 apaaMGtNwNb3FINk6SpocLlqs+I8Aa4JB6y31VQDntKditcggN/g+OB921pI kty2e06eAPqrdf+95auHTcpT22x+saCvtqGCkG+CFyJVr172sYAzbMVhH3oT nD393NCumAXCzY3VbonN4Jv/Yg96sgB7rwWe39EKFybeuErfZsEGK4Gtu+it cCpm5v1VXXJ//mk01fzWBhY9GtyXOFgw3h+au1KqA4qKDf5sGWVCmIjznS8D HZAzR28vLCTzZeFB56XgTtBP7Jrxt2dCwXvhcxvXdYPFZ37XwjoG9GSotXaP kxzd26H1LJwBfqffy6YE98FSUarBrvsM2Mfxl936ZD88qNY/qi3EgActAms9 kgfgzM/DOQEn6fBzSS5GMX0I7pxcSqkQocP11TBowjkMzPccf1nDNLh9X39z 78VhkOFf1aJwnwa86xmZg2wj8LSpoeqV9yQ0C0tbeumMQtV1Zd3Ek5NwxVnw 9dagUXA5Rklv45mEv4aP3/+ljAKb4PHyY2+pEHjBRsrs6RhUhlS/mPWcgPvx vyJjUsah4yhvUpDWBHBS2Erpv8fh4IxJxvl/FIjzS7Uy1aDAVtu2lfvtKLBm +rxuZCMFwp5XcOScHAdqRtan6OEJcEq6o+O1chxEqO+URqWooLcr2M87cwzW La0SUrpOhX2WKo2Km8ZAUWMgY/U4FQIoEoFn+kcg6+iOCOnuSWiKzJBc5TsC aoaRdtkCNJgUna5bVhuBA6te+Jw8RYMsK5ktY++H4VUR0WhdQAPtStBNhyFY FyNw0eAdHd68bttjXzoIfG3y44OVdLC/dPA9H8cgJG48Lq64RAfmvpSa7Z79 AN9r1i5ZMMBzrHUwpbwPlIPzJV0CGfCk3VmJwdYHt7awfU0pZ4DlnlfFUQ97 IHnDPq1925hwsTY4dW9GN/gZ3jzgps+ECxXBJ4LoXVA5n3rc+SET+AROevGY dgI9tX/OqpYJLQtXT+x53QHFDpXjFjNMOHrTZPF0STt8evnPm02UBbdu2rCi t7fBc+nx/YpXWUAnviQT51vBYS3b+qwnLBgL5bpwwbsFQulWioPhLJh/JDry Y6IJhtXLA9b1syDBZu/rAqEmCKF2yvD8YcFuQwlPgZcNoKQT+iFegIBQvdg3 +/fXAg8/z6UUbQL0OJfPTvpVg8OLly5CFwn4yK5s6zBaCay913n57xFw55iD GGN/BbClJMtFPSPgVt7pQItXZZC4NW+kJpAAlvLYTlZ/CajeO2LzIoaAC4N/ Dn3ZVQyO8Rc5WzNJLprp6QiuRMjNDV6RUUqWn274+PxrHticX86WbiJAeEXY 6awj2RB+kPfr9l4ChvwVLZoGvsPzoHa1vDGS29y+LX9c0uBc/ajgIIMA766D ZzN2J4LP9att/v97H+uVP6N4KxpWnV75X8dvUnNdemJxKBTEjDf2xS0SUJMj ytxn8AbODAfmrSG5+sdDrH0g3AyCmAtJC6SGWB272ZWeyH3CPs6F1GuTH8W+ EgrGVRsLUn2WCPg7ws5yNYrEdK/D/XJ/CRDZWyxrIh6Pc01zRsZzBIxq13z1 sE/FQifX0wIEAWGeXWtDyPs3UcElZDZBwLRgSmn9/h/Y9cHs38EBAra/KSyf C8pFH+1Bh/hWAjquvNxI/12A635bzcRVktxfVrAuTSjCFhnHlWq5BIh2vOQ/ e6EEXxvQDl5MIOdzB7FpLVcZFosqn+H9REDR/eeKA9/LUefenvnz3gS4H2z4 lWVWiXqqMv+UncjyzK7YHZk1yKkwlpx6guSskZtC5OU67BT9pXlGiTwnpi9+ bmFvwKNMp7VemwjoOVG+wSu2CT38J4rKxllg+aNGcvFBM3pLFIrVVbHgbsGK vBjdFvy3MdPtXjwL9m95vfiQ2orvqgTnAkmusrXfyhqPa0NVH3OzuyRXV7s/ avO41Y7nHBl2onIkdy807FIc78BqWmbjwDAT/PcUuihGdKKvZ3T/v3wmONh3 6B650oWHUUho9gMT/jlcYrm3diMl+Ohqy+NMeD/PLRHm24Nc73z6h8WZYB8+ 8zRNuxclbqtLqP9kwFmd7byf0vrw57GMDy9DGPBQi/9zmusgFq29zZvRS4fk g4LVXcJD2Kzq63noGx2alcWE99sOIWdvCWe6Ix0e0zNnV2waxhitbceuraWD ha/0ZSvrEWwRSuIUVKDBFlHzc8uFI/g2yLZSnpgETe9GRgfvKI5KJtAOZExC Z/ya7drpo1i2u6LhvOokJL1vyyykj+HlE5o3KlWoIH7K6ZqI6jgWDR03WPw5 AcccLrWEPBsn76lmPkdSJ0BzUXKPsCgFXZQKfFbKTkDcqUsrXqtM4JkTa16k c1AgfpVELt1lArPfRB5Pzh8HnbkHTpeLJlDj6JZPjXbjMNqjqGF/jIqhsjGF r7vHYCjKWlX0+CRGzlqfMfwyCgY3Yobqnk+ivF5GZqP+KJhE7hbzKJ5EdtlF QZ+lEdhZaFQwsJ+GPD/6XpWfH4EXizlhO0XpWEhTdE/nGAZBO6czX07RcfeT 8IiHqUPw++BU5JIHHWvGgTfYdAh0rX+vdJmgo2WL5GSf4SAYUG/kaUQzsC8/ tzvuZR+k7KIcXNPMwLvuB74KtfWCjd9P+/wFBt503R3nKNkLnX5EYOcpJrZs 1gxWyOoGvmrW7UOOTAy5v3en33IXeCrnFb38xMRI+0KTf8e7YPfS8wOFY0yM /XNWWq6jA2q4rUO+cbJwVoorj7WpA4RMeObt5VlY6bq7ftCsHQLtjINCbrOw zfZb9GVqK7zA23a/PFkoJyMS/luhFTalKNz7L5qFH8XjXHusW4D64bPH5j4W 2v63NfgNqwnuln/36Jhj4R0fNi27nU1gw3H56XUe0vcSffo2vQ1wePzWhyoZ Aqs6jUQaztdDou1i7z91AoVTlR0F2mthe1bAY86zBNra/uE6eaYGbJgbkoYt CWztPeT6sqYKVgqr13B6E+jeJDmsnl8O6S2NpgakLzV5mGbYtq8M7mpIoFUc Gc/vk/AtvgTqXY1uGWYR+GYhtqBGshikNOUbuUoJvCicUOu7A8Hs99CDVw1k f2SV15kI54PJRYNfPV0E+umaruNfzgadONror2ECHdUKo3spmeBuljY5MEmg N7tsXnN9OtBDTuT5TxFo2hliK30rBdzG/4nw/yLwJhEo4rTvG+hlZdRc+kvg x6Deq21LEXDYev6b/RKBoex2br9eB8PdwaWPhssEvn3p3xyi6QM9TyKeLpN6 a/1MSqrlMQjjvm3hROoJ90rgd/LEkBxXyCbLW6p9dKmQC0IXmczt5WT97Glr ter1InB3wCvVULJ9kVUm4S+fxGEbXSrkyDSBTi8WLxlmJiPPzmNPUmgEvtzz uczFIR2Xn11WoI0QaHNHPfyTXyZWdzuOTnUT2HO09hw9OhtbudXYyhoJ5DoZ uPJUQR42fKRTLcoI3NTfXxXRWojZC7dWN/8g8LDGU5ubs0VIebyleW08gaeJ szmmbiV4JnRts+AnAqWDzlsFc5ahhlBGIMOHwBMp9Ukib8vx69Utee8fEmhV rJReLlKJ7J2d1DU3Cfxhz0gLCKtCx7xgJevDBCZ8vJlx4Vsteu9h9JjIESjr uNdISbEe92/kCRHmI5Dm9mDXbEoDbqLcmOIdZGEpRXfbr64mzKBn3NEvY+HT VvWcZ0HNqHmXVmoex8JdihzmN01a0Kql0UjQhoVb3tRvFWxtxdbwQ04Leizc +mCgv+lLG86ve7vbZzsLK+ZUt0RatePZvomaqD4mvh7w47Rc0YkSl23+7ctk Is+2nu9HqjvJ9tPs7HyZ6MY5NMvzrgtr2lZY/lNhouIz3rxL4j14Iedl8tk1 TPRqCI2tGe5BHvePjRf6GHjvsP0sR3Qvan1TafjwmIEt2id4qrb3Y1idktNM Eh1frg19UsgzhLu3PqrY7UzHU5+55H9YDeHbKbc2FaDjuS8cW+cqh5CVvk0+ qpaG4s8uR+92G8aTEaaJJzsmcWGti5Xy8Aj6Zu16wvdhEpXG40sn9o8imKbd zTCaxJDny5/RbxQPEoonQhqoGJMrGdqkMoZXqzZf1MmcwJbdBa82uI2j/eiM iJ71BJ6/XGD+on4cZcHKS2PbBHJx0s6v2kzBp15ZWRKvKHhH+U4+dxYFd2+M 2jV9ZhzFCEG/4f4JNGwJ2Ly8PIaTOx8eVpOh4g0/A12J5DHctH7e2s2Kigf0 dvwO4xzDR9bTzWWzVDSZimTnTx3BtrDqO8w/k7gc07PEd34EeXfZXr2kSsN/ WqtuaywPY4dI+IGvjjSM8le7fvjEMD7NLGj8yqDhwVPdswJTQ3iqIuvIeVk6 +m9W+ikXMIRiS+85eq7QUWinzB6t74PI38cXqFxHxzcbt67e9HsA9zveeLpm JQPdnxYV+x8YwCunDvN8VWJg/NU7Kc/y+nB/dsI4dxADucZdf1xI7ka1SOpP v9Mkhzl4LtjMdWFpzNpSc2cm1q+aZ3mpd2GYpDBFIIyJu/7o58yXdWDFPOxf TWUiJ9XijilXB9qV3PfWXMvCbK3X7MN67bjuvzZnY0UW+rXL67nXt+LnEjNi kdynOWKZ36PWt+Jx88+/fX1ZuJqYf7H+VAsWwcEw1jeS0428ipXVTbjrMR9s G2Zh+M9zi7KcTcgu1S8y85eFb46p6TZ5NiBftr7OGwGSS1qSdqbOtbghzJmp qEHgIM0l1I1Zjce5wsIUjQnscE2XjjSvQgHuC5LztwkMP65xoqOjAgcrG5K9 H5Mc6P57ZbteOS5dlPEf8yPwnO/drOj8UrSgvpfgDCPQJ+1cqtnOEhQ/Yvl9 KpHkjNV0+s0vRags8BfDc0lOevw2DthSiE2RXTnClQQ+bhbdtGs5F8+sipM1 aCHwVfp8VGH/D1TtVPto0EfgrHLY9LW875gT7RcnMk7gYvt+TtWgNIz51rbq K4PAjPzCCaQm4g9FxyusGQJvr+sMmv4Sg39t1z9anidw+Y2TsZZxOOpzOEm3 LRCotIIrnyISgF1dpfut/xEYbKQSvMzthkZvdEMqSe6mi6wRKj/pAJoBQYcp pD7ArFJKjXsHfUEeUlVk/JCjyfknh8KgIVzQyGaRwHWi1977k/ftzIDwifbf BOryqPK9S0sAq4vpK9lmCdTr8/lRuJgKEo8EWqaZBPbrPy5aJ/kd9NWrAqIp BJqvm3r/XvMHZF5a7y8+QMaHiykoWeaCtvY5iQtt5LnzSeB54/MC2J+vHXKx mkCOvd7GUgZF4KySYr+tgDxHz9RePjRcDDc++kumpBCoGHz6dszdUlD14pdn +0pgphZjbrtPBexRF/y05E7gxhefC7cKVwGby+0TsTYEylSyNil+rYa5iLlR sQsEdq2nP1f/Xgf++3sGL+0iMCSftlXyYANkbD1M2ylK4NKCpXN3SSNcfz+o UL/MwhcTzbPHbjTDtiIRSftaFp49t/1R5vYW4DrF6HmUwkLp7cp696gtYLVw vcvQn4XJ96vYkm62gYLkYXkXIxaGFcJqh0udEKw4+La4holsZ1a2SGzvgo9Y 1no4gok3RoSzUqe64D7HH1uLB0wskV2x+/qTHlg7KG0aL8lEgS7eUMdjvfDr v6tRTTMMfJVf0qSztg/+6MKRmFIGnitV7BB41w+WrVfX3rrGQNtsq5k/ZwfA +9ihtPM7GTj5eJuVO98gCKdVBKz8S8fQTLWebceGQFIrLOaFHx3/GfjzU38M Q95Jpe2h0TS0qRL8ZMY/Apbj/z0LvEXDz6c+znJYj4Cdpm7uBQUaelG+dddt HoWBB63CJvGTWPL3e1P9/TEY7+Xhv/OZivIOOuxHK8fgSvZdm03GVPQ7uvt1 jdg4vBKKL0jjoaKRBX/adN448HRFaYU8nsCPWx1W6s1SYP1PVnv2CQru/Xn4 Tj1MwPc0JRticRzpRd+tNX0moF0BdGWTxnFbyM7Sn5uo4Hlh8ELkmnGUlNst Irp3Ehbf/FXQyh1FPqa0aZ3DJBxxetY3ajGKklJB3uezJmF67DN35LpRDFeQ 72Eo0+CCZkme78URvLTh/v5MWToUvl/HciOG8Iigt1/XVTpwxGt8fe4/hD3u /54WfKTD9xJWYLXSEEYEndhbsooBAY3vvmmzBjBPpX1V/34G5E3ee+i6cwB7 dl+MSrnDAPkvHpomNv1YFrFC5n4dA36k2k3yTvSiwk7hgKsLDHj+/sZTtm29 KDl+fOqvHBOEJya9sy/24OGlFGWVJ0zo32iwEFjbhSvdjxV5SbBAqtdhQSis HW1U5Ss3aLLgU9a7y1OtbVjKtj9Ky5IFik9adIe52rDrvPpMQhQLkm/NXlC4 14KPVxx511/CAoMcyesBEc0o5ZdgnjXIgi+lh0tV25pQst0l7LwQAUR+9ulv dxpwy5+0lC07CajeWJ6WX12HYrLrNLyPEpAlo2rpt70WzXU2nwy4SMCnsWdZ is+rMcC4vhvuERCxxXZ16mAlbpKyZXv1jAA5P81c2QMVeNQjj+kQSPpue3a9 qPdlaFww2bIYTfpo/KKkzihBrZtJv7dmkuUzxdj/aRVj7F2tzNESAhTknn78 p4wY9eGBrUYjAQu1efqRI3losiM1+EAPAa1txQ4bXmej5zZaXsMoAfeNZK7c Us3Ey3erbi/RyfG4P7dqHU7D/qL3xytmCPC2a9zAEEzCP0+AW/43ASaaB/Xp liRH5W3sZRYJ0FW9yTt48wsq0W2N8/4RcC1qp6snuz82heoG0ZYJCNSfbvzo YY9x3FkKGaR+Wmc0MuDpQXJvK68QGS9G/xs4sv0DjEUkXeBdIOD3rHqabflX KG3btSP6FwFmo8Vj0k5xcOXprqzWKQJ4tXMmqmRSYIXQmNrnSQLMi2THOGnp 8JVvL9fyEAFC+X/OmhzJAtnXsR6LHQT43Tt/LikwB0TnnYUDawlost3zbmwy HxZlnI9VFxJwlvKkx0qiCNyqBL4GpxLglKGOuyuLIVv0bDnHVwLcNL0v7/wf N2edlHJdCRDOOPXaO78CeL6uWct2h6xPSUa85FoVJNOflUwakfMRSlydXF0D xYkmgZ9lCTDYLPIgV68eLhak/ri9ngD+Tt9vQG+AcEp7Vc8MC3RyzaSVjzaB TN4jm6QcFowOzAXsG2mGg7+GPPg+seDXdFK4T0oLNJqWvZRwYcGRCB813set 8GatPbfafhaEf9DTe8bfDt1/dJ/oCrBg7PaxX1f62kH+X1A3F4sJGx2uBh2N 7oCDMm+qQr4wwe/lrRBepS4Yop2rv+fEBDtHreejf7pgx+tE/8UTZP5sbX8Q VtgNKa9G+w7+ZABtesvGeO1eED4wuCJoLwOaLzMOKWgOwNWNikHNbAyI7u4X SZwegJxT02J/m+lgE8OvvSJ8EKTiek222NChLNrc6+njIXh88fn56Q80uC70 rWysfhgu6zoGdl2hgVWt4YX3kiOgrAV5hTI0+JR6QOWd/QhEmLS6vk2dhPce u/RsBUchk41vq3cuFViMOYXzp8eg5lP615hHVHBRubfuv89jkP4yyaVdjQqL PjHLStQxGEswlLbLnIDHvyv8RlzHoXDT7o8TXymwXVpU6twXCjyYE5ruuEAB 9/i+/e/GKcCWtuYCg58Ck2eVBVgKE1DR0HIu4Mk4RD02CFxOn4BPI/kR2w3G 4NVpmFXLpkLsPxFqIPsYjD6u26U0T4WLm5fYNbJGIUnjNoe6MtlvNos8U5FR uHbfZNP15EnQLiRu0pqGgdGYxU8PoMF02oanAa7DsHZMUmhNHQ28/7iKBMgP w6qArk4pNjrUxtu8DHcfAmvhh3fAig6hv49IvdcZAMGVOm8HdzPA72Px5OzH ftBYXbQp9CoDKPK/dqhQ+uBM7UruY34MWFWXdNzevRfq/1IkDMcZIJfRU/Wo pgcS3cSZGRuYwOLyEXMT7IET8Za3/qgyYYlzFeNtdBfo57zavsOLCRGnOG8m MzphPPLUTeFkJgQtP4oc2dsJ4okrTw62MOFtcm5WQn47VG7sdOAUY4FlWUO9 /op2aOhYXmd5gAX3vUxkZbTaoOSm1kzwBRYYjbE7eFW0wJ1HRyt9P7LgZPXN 67RfzaCeyTcZm8WCxjuFp91km+GYhkm9eRsLWGyRIyUcjXAy5WRw+loCjlpc GXh5rR7ciiM5jsoQYOTWOfYntxaspgY07A8RwGHl2qV6pwq8c+b7gm4TECmS WKtQVAGB9o8135J5G7uV2ioiVA5yynoeEm8J6B+UFBC4XQrmVv5lmmSeSwVt zNqVXwxfGAXHF0kO1H7w//mEpwjW1Dka6yEBerHlwkpF+TBmnXByRx3JxUt6 rzab58By75cPXzsJaA5OHB1mywJ5W1rqt2ECbulM1cZHpMOpSDc5bRoB57ub fqk/S4buU2kh96YJeHb01/UyjAXjfwczd84TUHe2xungQjj8Tj+q4kZyMNBw 1m/UKgBoNRcZV0hOLvNaTrzxcAHNQ25ZTSRH655X9n9LeoSeApuft5JaxU3U iqESgMnbhc7dJON/ifZolw6Fo5dMrpovWZ+zv2SpfnQsJjbWGmj+7/9gyd78 tbeSsd7zYbM32Z++0vQzjoHpmLDx6rw52d/Cn82/UuYyMaLRQ7iBHM/tYNky llEOLuedfFdLjrfwgOu6tRn5qHPBt+ciOR+HNxmKEpxFmHT9tqM7OV8yF0Sb wjOLsfqP+ZxKGgH1jv42nualKDJ//N9Tcr47OwZy3vCUo17iLm1Lcj1s3/B6 xeRU4ESZ3atecr0yj67LyraowieuoXGT5HpKRlgoZqyrwT/i9568ITmb3M/s F7xYjy/VYrViyP3AsjbaYbyiEVfErNMVW0fAiK3obzGDJlwqYTskN82CdrOl 9vyfzXjziEObxA8WGK7W3HyltAX7eLz5uINY4Lvq+145/1a0CdK6F+DMgqy4 nlo+xXY0Wr33fsBe8nnBn3GJP+14tSN35zoeFjBkWcu7SP9mW3P3wH9UMp8e uPSqmXShF/f1TTeCmKD1pO615JZutIx3e/bClgl7d+yVnRjvxilx/WuGWkzw OtZ+d+puL+mzEvTYJhlQ8ZfLZeu+Pgy9wWU+kcOAowZc4hvm+tDT34vjmTcD pI/+ur/kMED6pXdpFGkGtKzjddyUPoTmPA+6v5ykg5H7v9X8XMPIucCbeFaE DqeZK6yvXB7GIwf9m2eHaOAiu86GvnoED2be+ixiR4OXh7cXPtIfRbXNZ+XX v5iEoJYVR8vCRvHKnPsRz+OTULM6q1SXNYqxLo/K2Lkn4R1eObboM4bf7RsG BLypkFurdSc+dxw/lPHzVLtOwNtbLc/d2Cm46yr7fJTqBFSFHY90OkXBvgzO /qAZCuyfv/C2so+Cge2JQa0WFJCWefwxbGoCU81MvEbVxyHikTLb0X1UdK/3 ba0nxsBTkPH1jwMVW3/KE5SIMWD7Qj3+bI6KyVW8X9M4xsCkrqmwhTaJ1E5k /isbgfPfcyWjZWg4ueXyk0zy/LiitVfb/ioNvfmbijK2jJD3Oo62n400vBCY dDzAeRgWcj49NImi4z7bLd0aW4Zg9sTDVaUddLxvMSMj/WYQeh88uinKxcCh 8cM63gMDsEZQSejhTQYWLqJKwcN+yBivbxkQZaKp2oavbyJ6QJzDO+m6JhPH ZjeLiNG6oaB6356qO0wsDEv8+mV3N2R8aZkSy2biNUbqTFFuJwTlHZHj6Gdi BfunM3f+dcDe76nLlStYuOM/s2lFjQ5omT+4ulKbhf+muN5sLWuD+yN/Xq28 zkKZjZuszNjboMNa0HLdcxZO1Tcd79RqhaOX4tVfF7Lw83orsVdFzVC4JXCG rYeFPYdZ/3UuNcFt3tbbWrMsbDyc9/DhgSbg7tztKyVD+ryp6pBCi3owUNy3 4eMhAsOWcm6ZZ9fCqvLPQp+NCJx2V+YoXlsD9ZRr7/bcIXCi8pUI63IVUF/q vzB2I/D0m3Wnl5Ir4P4g3+o17wjknZS0Zlsug3htXeUTEWR9Hy0O8OmXwuu9 PifE0gk0bst+e+hzMTi/t3p9v4jA39K14SqtCFvg9TnTerL+tyerHlvnQ29a FHdNF4Gd733cHNlzwHPhoXT5CIEWLtdydD5lAmN8frcencDq+5KPJfakg4HB jtrzpM8XOHor4ZBvEszXnwr/3+9T/e2+Fox+jwG4jLZ8pC8vPmE79C/7C9xx FeAg76uYTDu7tYTDH1Iu8Rxnkr7eVYkWW6lvB990YqXiSG13//uWbfgUZw24 v9CXCBw23yR4g/8jcux4X//jL4Gv6UP7hc0jUEWpo23dLwLjG4ULtx74hlyl AXQaQeDl8PBvT7lSsTIKTQ2oBF5lFl1WvZ+BwQ32D7QGSZ/+cROFuz8LJXSn 0wpJX/8uqG1/49FcnDgb7lFWReC3yxeMzJIKsD9jpcO5PLL8g9DoGu8i/Guc JGufSOANjUVxqYMl+IxTT2fTZ9Lnf2YlRDNLUcXxRdBZHwLH+SfsDoeVo+mh x6K3zQlkBCvesFiswk4n880nT5LzseDPX/WtBh//2D6PSgTOvF+c/XmuDufk uN9fWUmg41lLwiC+Ec8pjye/GmehwBXex7u+NeH6a+wm+lUs5NgguN7+McnV tujsYG8WXnPfLfNSshVTJErPytxi4YX8k9ba060o3rVf5eRRFrI054tEi9sw 1TjWyH6Bids1u170X+5AzjVrP50xYeL7bysSGn260UBRs5GiwMQizXQtFcMe /Pn7XpfsEgPvR//ivrWxF/UPCfYlhjIwMyUjniu6D/87GaAyb8XA7Q+L716/ 1Y/afYTMrCoDRR3MVG8rDCAtaeOODY10rM59YqQZP4ipR3eI7w2i46PkF1yr SH8qLHHdhM+MjmKb2FtkSf+67l7NMg+DhsnDW1jbTg6jmqVEgcHcJFbxVuQ7 ZY2g6zjntdZMUs9pFBmvH0W5h116exwnUfBRouFV0j8bpRvfejtFRcPSgBW9 68bwDU9G286eCfTmVXESPDeO2htGjRnvJnDtAbm8pqhxnDn2xuCLzgQGC73V CPo5jmLaLpkz6RScarHeq/6aglWmb2MSXcaRw9Fjyu7HBN6I45e4/984sl0I 0ZRfJjl62HqfXs8Y1u2cPtB8lIrcWziCVZXHsM8gJJnSSEXTitz9rkMjuEN8 i2ZrxyT6n4s/sMt7BN0SrwvkCdEwXnMycsOeERSXFWO5GNLQ8dIFbSu3YXS3 LBx1raWh9DEN5uKGIbS7lJ6ulkRH2XXhW7ddH0Q74c8m4SN0nH+ge2MibgBX XFeLrxVm4MUpK7U7O/rJ59SdN10YeEzy+gdV6z68m21AtCQwUO7xDr/y+F70 SDr36G8PA9kjmc8OSfeg6Fj6NwdlJq689atU7Wo3+hv/1C81Y2LJQTlxkeAu lEkpLyr3YWL3jwPyQdyd+B/kJw70MFGn28vj1JEOlH4qGzpNcjTGSeAQp1M7 LpZ2HEuTYaGFXXZ0wkArmrhMGO+2YqFYp+zZOL5WVG+ySWC8YmHS2eSL9Vot KBocF3g6gYUOmhq/vkc3ocaXieRVFBZyC3z9KpDQiM/aNx8zIPOi1tLikAl3 A/aXvtDS3EQgV9Brjl/FNXhrzSn6yhMERjx4cdxpczVS3PIfNpoRaNodFNDj WIlfCoJVDjgSuCrzTZByQznGlq1W1/AiMKGVyh0iU4Zm/zpTRoMJ9NrFGb/x cQk6lcTWS8YTqDF8WbumuQjTpNv75rMJbN+9/6LzqUI053unfKuCQE2ThBer fuXidNYY2LUQeOfg2oHhjh/4Mlxc+mYfgX4ObCHtWd/xrVzAI6lxAn+ViLgs BaYhvfY0M5pB4JX9ZwKnqInYJH577//el84b302rjopByS/r1i2SHMWDL+ZK r4Zjk4SrTuMCgUdDVRQOKAWgfaRQCXnfxEvWN05/CHfDxH69q+UkN+dGy+5P vr0PH6QS+amkjpuXU7hz7x2wz432NJLxLR4xJqyFUIjlyi55THJ5qo/5Q0Yr GlaOcA2zfhPIcViX/ZlnApyZajovO0tgRT0t7dZ4KhxTkTKVYpHzlfMr+DbH d6h+JC9OoRC4Y92Fu9GyPyCRbRvDdoDA8uEc26WjuRDeeknsf1xtf+Xab2BZ APBElb2tmjz33NxelB4pAhdXCdG0AgILrnfGFTQUw6uV7nXnUgk8RVXw5bpU Cj7WdVElXwl8s+3jZAC1DFoPOO3+TZ5zc6o3JZWXK+H6rHUv2hIYKPovQMG7 GgIeGJ8zvEigUtvhPGn+WsDDVfvTjxEY42mUQ5NsgEbtnbbtYgRKFEY+DIpp hDe/I10+kfvJNKfvimdgE3D2v7fcTWXhjWDm23WiLaTP3FFQk8bCCl6h8uNd LZDFqajdEsBCr/HZZ9UfW6FP+0h7ohMLQ4zfqDwTbIfVyf2lgyos7Jq390xs boecCr3AA0IsVFwzLb7s1wEp1Q/O28wwMf/n+M5V7F1wxveGmNk3Jv5+56cT U9AFxqoClG3PmGiUUkg559QN8uygWXqRiZeM5YwKx3pgfqdUSQQ3E3lsIgKJ 7/0gp7/1L/d5Blr02avsvTEAGipyPBQ5Bn5YuSdRV3gQqLHiK5N+09H6jzyn rdoQVL768ZstkI46K2LX3Hk9DEXXLiatLqbhDW879ZUjw1BTeoNh601DivtX W6rSCPBWb1zVeoaGMP9eKqRrBPRfDDoG9E0ip/Ss1j6RMTi3UadBnUpFr9wE dLQag+9+CQ3GkVQUFn64sq5wDFa4+lUZXaaitWFnc5T5OPQMCl3maJjAIvPR ifAwCoSM6md/iiD5uo3pu5FO6s0uXfLnKDgOhryvVCbgjUtwaCYHBWN07m/S qpmAtmr/M203xlF5S2Fr+hgVzufa3QnYNIZ59c+/vZSbhGYh9XuOFaOoXbXK Yb/VJPwMpqfa3RvF4563KVLMSVhSuvOwtngEI730Ukx30KC5OWZ89+0R1FPf nGJ2hwYixifPFW8Ywb9+W/7rHKHBk8vN9vcvDOMfaoGyhjgdlE9uNgj9N4Rs 168H2BnTYccenY9sEUPYbVmwelM5HWQLju6VrB9Ebe4flBPvGRDN5vTkUkMf DvUcuRxZygCdkxFxRmv78MweF77kGQa8iIgz5zreiwtrDYvbTjJhjdVq4Yrc bpx/zxHPcGaC87zL/PBMFwpXl8enfGXCQuihA/3yXSi+8rbzrmkmAJfSsQ8B HbhjfWgCVZgFxwP7rt6oascDt2KqjqqzYIgYfXRgoQ3pmUYHxt1Z0PBQqkPg Siue9drsKB3Ogu9/xov/e92CLB2p6yuRBf0MrdU2Bc2oL9I19Po3Wf6Qv8k7 sSac/5HTclCAAC+aDvL4NeDaZ1ePPdtBAOc3h2vB43UY8c9C5Jo2Afpb7mW3 H6zFtd+T9rRfIMB3QeJXh381pn5zeTdwl4CPshEXUicqUVbSTuvxMwIsNzzc 56hegW/ehVsmBRJQdjGiR/V1GWbMBG6ziyFg9fr8TJ6hEvyhbJZXkUmAspiU 8po9xZi5PsQ1qZT05YIyMa5siFMzdlX/+53WqMlzmSdf8/DIzbS1O3oJeP6Z e1kTstHqUWllyRgBEZfrTJi935Hnda4flUHAEeF312Kc03D8/Lnlzz8JqEji TFeQScR98qsaB38T4JgyxllqGo0Sbsk3XBYJoHJPjOauDCN9ZbR1G+nz5Xqz Nhfrv8O1H9Wr//e+lbtNa4eFtT1eE31oV0hqq5yoGZc9T+DVJfGbp8n4MEuK sFZdANC7Q7NDFwgQZMaru2A4nCqQ8fg2T7Z/4jjHDtFYYHUGUO1nCNjrRqH9 vJsEl9e7Sf2lE+CdLv9QdzQNdDVk7gM5nt6zL4LG1meCSfljGS1yvJOhg5YJ +7NB4Pi2wNXNBMycJOZdzfJA7PBFec9yAh4ucjse9CqEqB5e46psAniL976w 6CyCrw61n6rjCbh5c8eff7dLwM0lyfPVJwKq/tPPHVoohUGKTQbPKwIKFsp+ /vYtB2c5g3LDh+T6bEnu2i9eCYe/bL938QYBKa+zovwSq+CU78H7sgYETMzl fKYdqPk/Cs47nuvvi+NKSWkhUaIkSnzJiKYTaZIkSolEpIRSCi2ibKI0jGRk r4jsY2fvvX2sz36jskK/9+/P8/jce9/3nnvez3Nej/fnXgj1NAjOPEKAxKUb G6CyBhZffi9YLUnA89PF+k/06mDHVv6PK/6wgX9i5GmWUiPEr7c9mtzNhog1 XyKWzTWCs2JCnigZn18zIkIj8ptAdNonxsSNDdRe7TPFai3QfGJnsAsHGxJu JLjGq7fDE8qtTYG9LPhU1KpYztEB/zK33bH/wQIToWX02YIOOGCX5JN7mwWP KKkRXvu74Hvlrdvb1VigEprT0UV0gbOOkpqRIAuoG28/E4/vBgE+7pd3ipjg zxCc8BDqBY9DY5ePku+3q/4ajff1vbBq3GT5xE0mWD7autnFtQ/CG5RkFlYw YcjVpLCZ1g89K7bEjaowgF4iVtLYMghCn9/GMpcx4OGTNoIuNQSnBirODlfT Yau8P5fBiyFYY82vGHeFDh89+JxF9lCAr8Wzq+EODaSqKZJz94ZhKP/MXKAM DXjPPZ48VzwMn8XnDxqwqPDRlde1Z+MIKG2IE/1lRYWxseNO75JHYPPk67B0 o3HYdlhnenffKATycqnt2zIOzIKuM08lxuDjj/Oc9S1j8OyA2vTc3TGYSPti 8/DkGHz32O9nMTcGkh8POWSLjYKeGsdi7ioqyb1565ftI+C06CO28QwV5OMv Wr30GgH7qyHDjp5UEPft59o3MQxpGtPuLqto4NrouftdOgXs6ctObJ8lOTw1 42lygwIv/f7j6ZCnw9PHLeVOGyiwg/cO6w3JYZ7Gjypfbw8Bw+OVw/IuOrAm NO7t3TwIRmbhrMh4Buw9PZr55MUAuPkMB8n3MODqJbtj95v6wbLFBdJ5mBBS /qeHcr8PBj3jTr+8zYTWnV9vhXwl9zEj/6KMEAsWFTvqp8h9Nv1aN7iF3HfK w6JG7YPkvi8dpDAsWbCkSr20r6oD2FnbTqhkknGhvb2mdEMH3L4iVJrcxQLp l49zHuu3gxs1iL18kQXeXLbHjfpbwYJb7d/xY2xwr8nmCxNrhW0n3xr8Z8KG j7Pski03W+C4Q9WpiedsEE4KdR4bawJOE/uzS9ls2PuhfUFjdxNUzh+UPtXK Bt3GP8qLFo0gHxl0xJzNBo66Xfz7qupAPaN7lch2AoTDDF7znaiF0VWBtO/7 CfAKS56lYDVMbvfTFNUkINtcSzLtYBUMrzxlbHCdgMmnsm0e6T/h9ds0I1M7 Amqk/Vuf7K2AFf1qAYfdCDCZNFz4EFEGngoLmsPvCCiOjpZhCpbCfOR9pkE0 Af6neM65+xZDxM6a3pB0kkv+iloOy4vAUaE+MBEJOKd3UzWUlQ/T2yj+7jUE FPrMuMi15cC64k035NoJMCuJNavMy4KTTNHwyAECYgsesdwiMqDhuCV7cJyA pokCedfXaXA0f80/GpuA21yb35W0JQArvM2n4DcB6sKziU5h0bB8l851wzkC 4pK7ltvkhsAua4LjH8lls2/6pXr3feCK5MXC/SR3gx2lqG8qT4LO00PP/3+f gXp90IjuR0/cyxunco207/C+urdSOxi5zCiTmosEXOjPT706HoXLHB+U1ZPj F209G9oQk4AZ7bs7Rsjn+w0bq3ulp+GBrLWmfuT8nqTkqbI3fsdSD+vkmjFy /p3j+tY2P/BvQSNvWB/J4YaSXUPVuSjd/GtmeQsBatRNeuKShfg0qqJzsYKA NUY767iKivDmeoujfjkE6BGv+o/cLcEvTQL4neSw0Yugqi+CZcjIObjKLpiA GwHrXbeXlGOpgHZDhQcBJZtHV8dY/cSX9wcGM+wJaFHaZim2qQp1Ql0EDt0g wN33c8bzvGrUnC6/dJWMh9PLN29IvFGLu7nlPwsokf4aLUl4y1WPlJtyf+4K E+Dsp1sukdCAm9pX299YRkB9g+PAs0dN6HHicZRkFRse3HXZv+5kMxoFPWyZ S2DDRstaodpNLSjBzSVn682GJkm7Hxmprei0LETw5Gk2bA7t7d3b3YHa0Uod Dd9YoCYVO6Yc2Yn3vjSIDniwYGxcdlLqdhcqnzj0IsyYBVc3p4RH/OrGTFdn MTkuFiidm0jd9KMHIwkhPa5OJiyUngvWdOzFvsw653dxTBiQl7GhzPXhb0WW Zv8Jsq5KjVGSz+7HV+pXdT7zMUHx95S/mP0AmshkbRXtZ4Ci7KrvpvaDGMym 3rG4z4Cte9i/hChDOLVfZsLYkw69pc2fdA9TsEheM+uGFh1+WRmdyn9LwTrX zhcH1tPBqTybY6P6MF69+lPV2o8Gy3zPzmu9G0FWM+zXcKGCYv7dxOCxEby0 7Z2LymEq7JddmJxTGUWZYG/zzb/H4Wm1dlV/xyjevMebEmU6Dmb/8db084xj 0ln29GXFMfizgaP25gWyLj6bWnmSPgrZZ99Kcb4fR64R1zHDL6NwXX2X0fNt VNTcMea+Ys0ojMnLXZUUpeHlQdfsiJZhyHikmiV5jYZCLwZWCrgNQ8oAU0L6 Ew1Ft8U+rFAchvl2+ybljXTE/UyliTcUyFqae7Flio5Ll3jPZasPwWsjuuH8 bgZaxCx/Zs8ahFP2wQ/qrjFwLKjezevDIJi1Ff+nXsrAHcOZE4EtAzAdaNs+ 8JuBKicvavwWHwATu/s/b0kw8fWaK7DjQT9sM6askHNloqlFbvyvdX1gPZ6X fCeNibodKn/irvTCSDrlsmcvE1WTO8I1ontAgylIsZRnYVhFn4amcjdUv8/9 7FrHQndRygMj7Q7gHg1si59k4cTejg3rAtshcfLp+5hNbBzceMC+t7UNVhUO XhS9zMbvmoeWz15uhb0dvPnvSV1mWR48qfuxBYo4+l4Nkrotzk/3IKOjGTKn X70frmNj0qYbWZN6TdDdtTo2mNR9YfEUwiawERZ/eyaJLiewWHKWz/9zAzzj DEjylCcw3OiQoa5fLewyXNtoc4rU4eea+1+uqIEf888PiVwjUDvt6VKMYxVs +fUht9mF1MGbGsxX3aiA0Jtfr3QGEsjtqm1r2lIGyZ2vdaMjCRzLMPrA1igF 49Hz3MrfCLz3UUYvL7MYBudO0H0KCfyYYCDeKVEEhxZGH8RVE2ggGMMXv7cA wqxpMh5tBM4U+Ig5c+cCCGjGSw8QeKNq9q3eaBaYyWt6Bo4T6Fv4+t2J4gx4 LvvAMZ/U7YZ+MZfsQtPg6shHhXhS198+VrP3NysB1lwZcjSYI/C31P1dsxHR 4Lu6dEf1AoGOUvznjRNCQSx71cqlJQLzgmMCUze8AeGiuo2//5E6+/iBM2ui rOAY4XEoibSHDE2iRLVfYtzI8leSZPvF0noOiZIgrC9sO77lL4F3gvjPGWdG 4Nzd563vpwmUl3Z61OMRh5lDIVbhEwTmzprpHzJMxcVjddqKNAL3qbfECmzO wMaMlFbdQdKf9ynWqc+y0Me+7eYSuf5NjFMl6iM5qC5c81iZ9E+Uk+l07JkC 3CXA/eFvPoGhConfey4V4d07rGvaKaR/aayyXdwlyEoteCj3mcD16lx3Q7JL MfZgUHC4D4Eyxh9/SVuWY7H7jZBwRwIPxpSnlmz+iceIDr195gSe1OPj0Cqr xF/PrTJ1zxO4zumszvd71Rg5t8dRZzuB7zttKC3ldejC6bFWdiWBsT7X1W7a NKARXS82gsZGlYMr2SVejRij+WK1Tgob123Y3flBrhn3ZvG88vVjo5SlbkUl Rwt26Wjcs7BmIzNk9o9wUwuWR1z8NiHJxqb2oD2ctm0obnH16NdlbNwvVH7O 7Ug7shdOff3bzcLm+ry5Zas7EL6elwjyZOFwnld83edOZPEPiKW1M/Hkif3u 0fk9qKviZhAXw8T9r49+W+XSixVZK47o2jPxxxlFENXow+bN7oJl65nYrxS9 Qr2iH302HM1/08VAVDwfefTVAFpzc9wSimLgN1Ov7Jtig/j+enWNqQIDbzrM BvzoHcTBiOXxe2fp6LxCav7wwSH0z7Fu/pFPR/r8u1sz74ZQzGKALaNORwH5 tojlZyn458TrmCZVGjoz93TOxA+j7dTpTr6/VHQp8rQt/jeMOTcqvfZlUfHw fen4CL0RNI6/uH69FBXtQkzfvf9LcnewLjlp2ThGBR1NoB4dw9ljvl9lMsfw Pv3X7UXvMczbsSs66tYYUnQFeHm6yN+TikbcqkZR/MIxAc5746hup6jt5DKC 5s1C0VwBVJyz+vg8WnYEp4mllmNtVPzbp5rB6B5GgYJvOWZCNPzt4UIb2DeM j09HjV0OoaHPWcvxyuYhXF0rfyLhLR17NE11NByHUOfxmFZ3PR0lzjQq/hUd wnbka+3lZuBf1m4dactB3Kn64sh5Rwa6H5if4hnpQ+71L25/1WSioI6sZKhE H66XxhUSz5j437Y6rxHzXsy2ETpwM5mJdtX8sUjpRl3JynmhNSwMHGw1Mdve jV4bnzz2UmYhd/WD80NXu3Bf73+3Mm6w8HzZFhO/+g5sSn0ktOs7C2V0HRj1 XB0op91/yLKHhY3d4c/WqrajTxZv4DUyrh6XN3JHxrfiqvjD6ufPsPGznWIF T38LfndZYXfWio1CA2f43vO24EbtG26ENxsjNZfO7SPrhXoVgyj5Kjayfzvp 6MY24nGupaWaUTbeaTu0zi61ATfaWvesWUbgTraFaM/6ety07xAXayuB30IL xKbu1qJ42plr9xUJ7Dtz7UFVVTUSlQNV788S+GPQ6tkDiSpUHEk4e82EQOnq gWjPrnJs8ZwqLnUncEWyW9tWhTJ8ChqLZp8IlPviNFzpWYK3KjzavsQT6Gw7 bRczWIR1p8TeOWYTaOmdaOpjXYg8FP5AVjmBAarBcfZCeei2xHdgoYlAkdy9 CrIlP/DqjOtSdC+BJisU3HvufEe3ta+sx0cJ7NBVPxzF9w354qa2lbJITnVx d+o/SMTbk1bfVUiuxh8Qe7GvKBoVUi8xNEiu1q0T8T4uFIoTjykedJKrJ/6d Ptpq5IvsfTw395DcjN7awcjW1sM3PcFmS6StZTjip37WA/rT9j6/S9pSLPHX X/0+AXiL5/7/3IJXReXeV0+i4Mbngv945wnMwrP2vbIJcOnZv6VTfwiMydSN en0vDWg2+WaCBIGtmxm7xyozQH1jYMQLMi+Mhq+VurXjB/w+MbrOpZ9A3jlh 3pFHufD+Sf+6ba0E5qxm6KvUFgCfgvnmC5UEJgbJFYi8KYKu3q1JO/JI/5vz eJgfLAHl9fpm3kkEil6wUzUoL4XXYh9l0sII3Cu01tVTpxwOC379HO5L4HX3 PYfp3RXQ75Bw6epTAmWJDXpWNyuB9ixqcfA2gb2h70sXmVXg+P7CaaVLBOpz pHkEPqyB2pf7Z/TUCNzd+fCYu3M9CDTKFy7bRGDKjtFvN5c3gkJdaYD/XzYW zr/bTittBO1h62PsITbK8/u8WNJohpnBFImdiWwcHebJdV7RAn5K1g/nfNnY 8S9g6HRpC1z8+6z+qy0by1otWn1V2+BE8KDuSzmy/7WmHQvzbfB5ACe+r2Oj 1pdVRm+z2uHio9/OxXQWanh4/9su3QkqfbY91hEsTOLL3LNqpBP0rfY+2PiE hWUOrJ/zIV1QcpXrY+BFFrLWFesyuHvAb0V62OFlLGwdSdLsLugBPkmJaHOS y89Mmtpy7veCRdLQS/sEJipYxu2Ra++DcPDxPneeiWbGr54Enx6EVgiw2ejD QJpG6j77z4NwXefAm2ADBlrZUs4m/xqEu2OFYlt2MVCk7GnyntAhCGh79vXv DzrKea/3nxqhwA/Joz1vWmhk/jL7arx/GIRQemD2Aw2Lc8Kq178aht3x7g4W hjQszT+9VW7nCGSJRvwwHKBihLnhlW0XR6H+zT/PyZ5xpD8/eEw/bBScuC8I VX0cx0s79yfmjo1Cv3NSeY7eOMoqy/X9ezQGhceorImqMazdbiq323ccpKKk 7yxLGMVGzefPHjeOA7WPI455fRTrp9qr+vmowMWoLuESGMUJ1ZtAfUeFL+HW a1qejiDHNbvqCF8apPx6+Uvk+DCm+mm/NK+nQdiW7xbLmBSU9rt8moOs07ec NdnO846Cpj9GQ1PJuh5nbxyOGBpCeWvl0MJyOtgcSYza7z6Ekhze3p84GKDV MH+VQ2YIT0toZcTZMUDF6K3EmQeDeK3qZE1HPANcBfReNwgMovvd0MDKAQYI bbsUcdB2AMVs1nmPnmKCxgNUPDTVh88H5ZpruVnQesF8+VVqN3r7JqVV7mdB XGEso3xnN1LKvOwe3mDBpIu80MprXejkFNTW8p0FXHcUVojVdGAr550frr0s 6Bb6WLlhWQdaaAkv9Sxnw4ke3a4/+9vxGCNz5LkmG4zHjG1rQ1uRQ7vpWIU1 GwZPVBs01Lfgra0XnVL92KB8iqHP/teMR7N9E27UsmFVufDPr9eb0M/bsGc3 jQ1Elsqkjl8jLsvsMvJaQYB0U5DSE4cGVHv38sl2FQIODuy1Xi5Ti+7fohrP axOwYXnq6XbXatQSecoQvEnqyoYPaxy7K/HAydtNjxwI+LfPtmlR7ifuHl/x 0cqbgH1Fnyofu5Wj/Bs58z+hBKgoO+2e7yjF8IdbbfmTSVvr3b6Pe0twyzOd hbI8AhjCqfvMnxahd1ih2eoqAkRE2H+pwQX4wyZv7WArAfaZquz0w7nYsGa9 7ekBAg6f4Fp5vicLCZnffOpUAg499Nk64piB0m93B9QSBNQdYGz6JJiGHZGU wPE/BMx5fq6Uuh2P686PNAXOE2DKsl2+GBGJPGoPhOpJ3f/mS0/Cr4wPeEPd RO3TPwIcWY4SOSfcsJm66gBZ34JB7u2jjvZW0Oh6cbZ/iYCvDH0zfo4AeKWZ 43dlgYDBT9Mc3998Bpumw0I3Zwk40Lbafn5DDPinW5YsTRHw/ADH2rD2JDjt falGikmAXHT22FzdN+iXiXQZHSafv/k/y065TJjZZKWh0E3qcCve7aVvsmHl 7vOuGxsIKGtfL/12Ig/GY80LnUsIuCTmmi12HoH36cHXrt8JoGVsX7brUjHo xZU82fKVgJ8iUfEEZykECFzXOf6OgCQ3DbfBtDKY/FBdvuwlAU56umeGr1XA 7arPDLhC6vyNWglN36ogbl9klKYGAWF/hlOvq9ZAdvzxLhFZAow/rfbqraqF 3y57j29ZYkNSqXLTzb4GmAiiGmiMsOFeZm96XHojZJ8RTz1YxYayZCf/Gfsm eOSXY+7uz4ZKira183wz/HD7xE25x4bphz+UE/NaIOII9R7PBTYUshzFNz5t hYmtqcEN69hg9T307B2Su4RuzZ7jjiz4IXK4x4/ZCXQ/wuHgBRYUTAh+yInp gp072ptX72FBjsys6PD1bhiJVRWHZiYUQHqwQEMPXPlkICezhQlhPVZ1cl/6 gVtC234nlQFfqqX2eVwYAEu+aBpHFgN8fcdOtHAMwoLHtPpzbQZ0Nuo0rU0d hPjUHsPvdnQw2pcb68tJgdnHklYSB+mQlrT87dQlCmh6nvPyX6KB3nH74PB4 CgjnbN9n8JoGJw2P8pZrDYPn0GjHoicVLmn5/hzxHIH0r4Y9jqepUFNQ4S3f MQIxxmi6nIsKL085GiSLj4LA18B7x5+PQ/4WTiHJ3FFYuys3p9FsDF4IiJhU 945Bq/7t6r9bx2DbXx6To+LjoKfxW+lM0yiwefaaVFqOg/H5lUmXDo9CYeiE m/DkOMT9OL/Gf+UIaOFx87vTVKgscHq3PWsYZh5dk9HfTwNJ5WBHuvkwvOS2 26f2gAbZDsdZh0spMKm26uQWJg0+yuaf2W0/BN6crAMeTXQoKNxV81ZsCEq3 J5eprGLAQH3GQcO6QdjhhwOUwwy4+9MjcJX4IOScyBoQj2SAaKBw7einAZC5 rcXIbGGAqvWvSW9mP6jHF7QcXsEE99TGfhO/PujRFp4RNmWC2GrO1tC+XhiX so+382eCsWh/VIl0LywJxe7OymNCHrUpeqysG4onGeMLG1mgBY582owO6BY1 NTdKYYHw0c8O7xU6QOC/EmF2MwuUE7Qv/3Noh51rpu5dn2aR8Vj2WJuzDUpu eSb1H2SD2mGTavVTrdDh5MNNv8KGRweTsh54tUDHQgq70YENHx6WN8aub4ZR Xu0CmQw21C1TPZtzvglKwx4+CK9ng0yR4m/xN40w8l38PI3KBtafMtvjovXg eo3Xd2kLAZ7+HOGvQ2qhZ/Tq5sp9BBi9TpfIEqyBOzl6/OYnCaAXccZuWlcJ t15HK2y2ISB6xmrC5DVZHx1zbd/jTEDB6pL/WpfKYFFGYZIngAC901PCzx6V QvXd2YHCLwSo33/94g6rGE4JvuFRSyW5YCq4K9GsCLbQpakB+QTw8j77EZJe ANE+T/+kVRKwbcf6xZLQXLC9mVkY1kJyP6+ghfbqB/jPv+m+3EeARdh6Dlmb 7yA8pcfoHyW5+4XnfLL+Nzjp3/ZZgUXATtkLe3kck0CiwSFF9xcBWiknrsaf iIG1Gw8OqJLcq9hZyrrH+wWOnI1dNvOXgF2Vl68cznkLc53Myf/fC9OT/03C 8PAzGGyp/VBNctUkKLxCx/Yh3p+NHhsl7TPVCVPnXgdgo7hNXy3ZHmSOtItO hGHitfzXL0jO+gcmht+S+YqnrAtnF8nnbT1Gq/t1PRHr1x3VP/2bABs4sPVI VRqmf/5UZcwmIEBlxLd3KAMfPKj1UxsnOZqoe7dgLgsTkk1pE/0E9Lbwjxdt zMUHcU+krNsI2CS77kCVZAFa/i5PyKomoE1B60KvSBHKjTxprSskII2tk5sd W4yV8de3ZHwjgPvOMCdjXylWrPgxYxFFwGWfgzdu5pShh8vJOdpbAu6IvVi7 Wa0CC89oZRxxJeC3YKLh+LkqHNCd7L9oTIBE0Fjh7K9qtChRFL54moCzQZf1 Oz/W4p5LCVYEGS+3dg/4/uhvQPc9155zktyNWDXAVYWNaJ6p9/IZhYzPQyvA wb8JhS0pIp/K2TCU/6zhsUwLFt+8czbXnQ22uzd1Z8614IOiq59KLNhwWUFJ nbeiFU+fSf57X4MNK+RV//41bMeVZkuitX9ZEHJiYUfMky5k3zi2L/QqCzxH 60ZajnXj0c0hS2vkWFC2/nJtx4oeXNnyN012OQvW5T/QA89ezKecKQuNZoLh et3CgDN9KPWi9SzjARNethwb+MDdj2cS7nHMqDFhncURh7CXA6Q+EqNodzOg e2WaYIXoIA6uOxETHs2A6N/g9/rJIHYE36jKsia5/FnHrFlhCHPLjk+rLdCB W1kybtdHCu58M3GXn4cOuUr84Q8ICuabLZzur6HBnVGrIsaJYRS6kPfYzZsG T1/0qpyeGMYXYe/UbVbRIPK+vNCZQ6O4vd7Pa83UOKwpvAMOXqPY2nAybHnC OCzGay7L6BrFy6NNimyTcfA4Y6h31H4MAx+kMZNqxsA0aDTyxJdxnFjRvEUy aBS01xbhfeo4HirldBU8MQrXVPlC/eSoOOTDESz4ewTG+xY5/XKpKOAxoKJ7 fgTWfMfL2qU0/BBYfkLoLwWyNSnDCcvpaCDSOjwaRYGLmxf0Bo/RUf2g68pB TQrEBgkwq3PoWO6R/Pj2pyHYyV+9TD+MgS+VFr2PSQ/Cq7dH+kIbGJhCeeCi EzcAOyvG1jRzMFFYIhTGZ/uBqeLesHCdicd/xnW8et8Hv27757J9mVjHjjQK Ge4F8ceCXypymbjdYsL/rVwvKA8sOYrxstDGOar2FMlZHW7HLRGHWNhIk+nh XdcN1W+qVnOYkbqlqCKsW4/Mv8PKyfppLAw96pPlNtQBrTW+u1WOslGTxuu+ YqIV1q28vcfDiI2XpQzBV74V4l7OHEt+ysZHu0deadu1QPBv42mbH6TuUvA+ /XGyCcTcxrRXt7Dxk9WFULl9TbBm6p3yAxYbS8QE/hOxaYTEv4mJ30QJHCwb X5RvrAOOkz903fYTuHVq/8e7p2shxF8tf6cmgWYbXvf4YzV4O5fz+VwndWnX PyJhfxUUGSX4oB2Bf04trKpL+AmijZp3891IXexoe33l9gp4sX8Zx8sgAhcO 6x42CyyDu092RW74SiDfIR7anxWlsN1VKOdmBjl+b0dB7aNiSFp//odzEYGO 327LsBsQxFW0hc1qCbw/5ZPA/S0fDK0ybXk6CHxz0qVyVUAO7J9R03QcJLD2 RJjZmntZcJy/RSeJSuD7J39M5bQzIOCptVw0qdO5FaSzgqTTwPqdaqQJqeNP NdnHZW9MgH3c4feG5gisn3/3UKMqCn5yCNhILhK472Fv/JblITDdpe8k94/A MF4hfRjygbM3TrkskPZAe0njPZoRRIRyPPEl7aptn9dz33qFZ4WqrShk/5T9 T+7sP/EB8/JFbv6dJzCy99hTDkYENknHOHdOE2i4TEIzUyEOM78epTtOEtjz QV74iWMKXrZntg3QCYzWfzDjeT0dk0bG3NYME7jDeR/9i0smpmZ7acx3EZhO 9D8YjszG4/uv2aQ2EIhymKBQmocb45db7i0jkLXcPsWWUoieLhpRVj8I1JQO bT3KUYz/jS///CCewF7qS2qIXwmepChR1IMJvGp/67v6tjLU5aas7PYk0LOw dXBnfDnKpW9LPOhA4Lm7/0T+2/8TzfP+vjA1J9Blq9Eu3aJKLK5+q6p/gcBL aoczX56tRqtdE0l8Rwg8XakfktpSg6yVPGEhEgQ+O2idWGVYhxwSA6/4/7DR 9pLgbQ2lRrQ8k55Z3slGvuPKMa1cTbj74KU+3jw2Rq7SOh7e2YTGt4+6P3vC RoOA3OACxxZs/vaQEX6FjWzuRKul062oZXKcx1SZja9Vw6ovCrahvGzOZA2D hcrNEs2bv7Wj42uBrY/LWHhH6MfY/acdaPNIq7gyhIXzfoKm+Sc7Uf/p2wWL kywsX6NGn+/oQmRKhVZ4M3EzvEvewexFkc3RJb1XmCjKc4ZvLrkPTcu/dMZL MlEqjTrvYNOPCYvTe+3yGajdmPlcizGAhvq3VnF00XHa0uZv3O0htCIW+3nD 6Njodqont2wIuQ59b2Rfp+MGz9nnS6IUZO6qkRSg0NDPODN/TRMFLUvTw252 UnEzI6qvYu8IVpbrDm9/S8WcVh7L6ecjyH4gyyrQouKlQ+vXH2geweMn14mm 5o+jv/KTzxT7UUw4c8uqxJ/kq6lEj/W3MeS+ocYm1MZwL/2/5T8Xx9DZ8fJW 4V+jaFZzUFvgzDimaaSWO+iOIg/zeo5r7zhyfGWczV45ggf3ZmlrTlOxIls7 5mDaMNbcms6fOEhD977up+1XhjF73bHr95/SUOWFvo5dAgVnPVuOzi7S0IG2 dMzxAgXtdXKCZ4/QkfsX/W3izBDu8dxlXelEx9l+nYxItSGcs8o7WzNFx303 I4psRwdRRvnPyKwMA3dxvvzm4DGIJt0b+BnmDNTScT3x+eMABks+GeVrZSBz tWvJ2g+9uOzdZIJ0BBN57LaK6g/2YA3/1vub6pn4z9za0HVPD+5WG0/vmmPi rdrbH1Iyu1DHbGfV1DkWfti3EnLnO/Gb/KOzxx+xMD0mcUuVaifqcV2LuB3G wodN01Lry9oxcc9ggjyVhfIBzw0urmzHmsFky0YeNjZPQWLOiTZUu+7FB7Js /H1SiY+7rAV7X0SXvbZlo51dqfm/ZS1om3PwgJEfG6NMEwyVoRlPcsXaLCWy 8dfdxeUvfzRiEqvbOXSYjb4UpRtaow0YtKVU6sMiG3tS4iYuXK1HRl6vnMFm AoNn4i7sqq/F/T2RH/v/I1AWkv9rOVaD11w4HklpkO+lTsZBm/QqFJW4OqZy heTy6S/7V4pXonbQ+02rrQnMOOQtZ7GsHJ/3bAyaeEMg4Xq4/7xtKR42nnyy MoJAyqfp3oe9xXj0JvfZ7lQCy97+FBo9XYTcw0du2xQQeLOxgOfG7QJcpyqu U1xFcos9dLQectEqc/nL5lYCH3zdUyUv8AP36XX7RfQTWPEBchJpGdhmZM4v O06gTtBG8WsFaUg9tD3nMZtcT+/cyYodiRg2clL5+W8C22j78ovLoxEahs79 //5ZJvMN0dYSiucuFjYULZD2zV1xK4TfoHKQ/ceFJQIbPqrxua61wmjG3YD/ fyf7pVGrvDbtJRwpa0/7/7mG/5rY3Kq876GTK2NOiGxf9ZrnQs3NCNg9U//k xF/SH9vyg04VxULpu7KLsjMErr1a86RlawrkO84ltJAc/rpq6argoXSIVQn7 sZ9B2ip+LmstMkFZMTZfj+TwW+nTQlIB2fBqqWW1fDeBSi7W68/l5YGYQuTf apLDv7k3GRmMFMLvMu2/O0kOP/yl5CbAVQzKw43PD5IcLgp/+kb3Uwl80mjj 3kByWCDL3rRFugxaluXsif5EIGfL140eBeXwlebqNOdBoLdXdI6J9k/o0KfE bHhMINeOfLdz/ZUg6yxqNm5GcnjUM1LVuhoSL2+573KeQH/FbTVs9zqI6gyo /LeTwA2ZBlZ+/A0g+fBJ6+gaMm9FHymf024Eh2ZaVsAkG428TedvdTTBytdr 1wHJ3Uw1m23vgpvhr+6rGPXPbFRQsZ/hNGqBm5unb2x0ZuOpOyJibwZa4VDz Zd4Nx9jIOXvkUU9IGxDPubcQomx0W3Hxo97ldrh/pGRHwgIL2+7y12XUdMDF xaZ7Wd9ZWCnnnOPt1glJUrz2a/xZWDw8KWl/pAuO7+CdVLVkoeCpg8Em8WRd FPD92HlBFm7kOl+iZ9wD321idsuymLgx+16aKl8v7CQ6kn4VM/HPu6o3nY/6 gGf8s+xBSyZ6et6vUtwyCCtPDMb2xzLwnmmylaTtIBTvDa7bac/ApT0T+xzL BiHUx6vHUI2BdT6NCgrWQ3A2o+Lj93Y6Wi6r6fqYRYGTTj4Sh/7QULrmyj7F VcNgdOZgs3EuDV/suWWz6fIwcBJbD3k+pyHKrnQL/z0MvV4bjGY5aRizRWnI TXIUlCtcRl04qSgWs2sD5/1RCPxjJLq5eBw7wpsT0nJHoeVX4InSZ+MYqxzO 4a85BiVVGlF2v8dwR4FkCY/ZOKjZ7r5q2zGKpv/MS7NjxqGxbObVJr9RDDj7 MOMFbRyGWkpWUI+PIm3cU/3CXSpcC1Y9I5E8gicvJqoXWtBAROl98ZlHw6gX MRT1J5IG9VIPd6RLDiPr4qpoxX4alIffUzJpp2Ddt3eeuRfooGgw/+OTIgVD NJaO/ZBhgFa6sG4XyeWqHOnUMRMGiL/R0ap4M4jq/5lX87xjgNXNxzv5Dg+i faeYltwMA9Sy4/tjhAfQxTn6Y2waqUus06+mG/QiY9vztdMDTLizv/fZVFAP XqpicM2vY4Hz0QjqdFM3Plrz02yrBQu+d3em2J7swtWzH9oU3rBA4ZJ4zp/n nVhfOMGczWZB11P2LbOsDtzyp7bxNRcbbm2/HrZlZzumOmZIaEqzYaBWVOXh pTZ0S9sgn6XNhucJZcHdnq247aeKhFMAG+TNqSYEqxkN1IZ4G9PY0BTe9l+a aDMeru3Lr6hnw91lmR8jtJvwQFj7sgAuAjT2Cax9bNCAL56dEzHdQQDdQ9GJ lVGHVbJS8/UHCLAbYP3esL4WxS/0ObefJ2DPBi+DSYtqtFXriH9sToBrR5x/ dGEldg95PvvmSMAvY+vAIwI/cU+iwyZXHwI+b442r71TjjJc6h8YYQQcWkfb cgtLMZEZp0pPJnUs1lVv5y/B4qawi8/zCYi+uRS22qIIeZpOysVWEcD6WOdm e68A5XetOnyT1NlbIpP7nfhzMaP/1cT3AQJsm7V+GmZm4Tsio+sjlQCD8vSq A5cy8KFl05sNEwQ80+WZu8dMRfE1dkVC0wSU/hfBwSkdjxc3u4h/nycA2YF/ H1pGoqyFxquhRQKEL199s+fsB2wtNy7+8o+AFuLzgRw3V/R711Q6SdqmZznP zcraQGj8osf//78757fNhTgXABnPokTOLBBgbpfLONj2GZZ9onw+P0tAqMSf nID/YmDkxIFD1CkCGl9PxnsQSXDS49l//EwCluzFVbZ2fgO8MlLROEz6V3Db QJRKJiTs/X1TrJuAo/Zfvx16nw0Q9+rRygYCAsKMRLN/5cHIzwKnZyUE2Bx9 HPHnPMJGIe5lXt8J2LA/x9RCvxiaL22Ml/5KwNZbdwJ5lpfCRe28nWbvCMjz n9jfkVwGdTOisvIvyf6Dkv9lGVQA76hjyHsbAqinnpkGLa8EqUkpzXdXCBDr a665kVgFpQYmx69JEyAUpqrzaK4W3s8Nhu7hI4BbYvTDx8/1UBH29mrADBsC QFZFVqwRtGQLWo4UssHOL3a4sKQJPtRe2f4ynA0F79vnrgY2g+3TS4TlCzYY P5d8ufNGC1inuNJ2HGbD+dcJs+sXWuGJ7onTFpEssG3YImMk2Ql7871905+w 4FqAxzTXUCcYCv8d6bzIgt6pvJzs4C5Yq9a5JpeDBaajV04J8vRAmejhewta TCgsFn89298HVL0uxVMiTPCoyujZEtAP04ObUx2ZDGDeo9ivUR+A4Njb98Pc GVBjKDUvqjMIJmO8nELf6BDHzt36MWYIvNp1NnU60OHnlksFr+eHwEA/5sgb oEN7QLh4yTkKOKj9rZysokFMqLom3xQFrGPKS3KbqWT+6OJB+RGID3qn/DSQ CknGU19yX4yAJlU6/fQFKnRaPeyi1Y7AwXSlqbW148A50qPccXMUDmWr/vXO GoOJmT9PQ7zGIL3FoIFtMwYWa3Y3DjWNQUrNwuJ9yTEoj7OK0hAah9S7woUj gaMguUG/Vy9yHMy/BzBqb4wAZTKWTz+RCjz16x1c+Ufg0WqxaCUGFY5+re2/ XzYM86WjlcJ7acD37efb5buGwWkmefVMNA2e+vakanYPgd/qDarhfnToVl/L EHo9BBVHwhYcKujQkxdtpyI/BKeeX6k9tUgHuxq/GPtXgxDXdGRH/i0GtPXI cYbKDsKtvcIvjEIYsJIutUU9ZQDMHpAlTR0DNrVGfIzX6oeozB22FXJM6PW8 V70puA+aaToaG64zYTWX84DBWC98c7modtSXCYpKUwXuT3pAWNLYR22M3Me6 5X9PfuqE/uLfVXleLFDKuUX3q+8AbsuiBfHvLAhRHN5ZtLwDBnudbPf1smD1 9KdSTss2mD9/skl2Dxt+69n93vOpFSzy4k6KaLFh3h2XrlW1QNaLcu54Gzb4 lJ1KFtzdDJyuWfKBqWw4mHTJ7pteEyTahn5h1rGBXzHygrNLI9xoenm3n86G zMjz48KGDXC43UfdguSq6edH/JXf6mBKzWrwJcnVivd7Q4RW1YKCtNUmxYME jGHJMjHDang87Vpgr0MAZ69oaey/Chhoe6Ga4kTA7mDOu+d0ysHDUGhPpC8B fdNqfnPhpSCsppmwK5zkyC4gkF0M/GZbZ5VSCaiWpBh/P1IEQtn2+s0FJHcL L1u38RdALP244EI1AZX6Yd9YSTlwTuZO1Ld2AnjkvY27NLKgWK3l3tQgAb99 2/WLetKh4Kf9qkIaAbVZamuChlPgRtoVjk2TBDx/e7oS1sdBxGzoyt8kR32r cLRRJQLSgx43G/0lwJBn3cC+4ndwNVhV8QLJxczV4X2Kp55C7VuLlfUkNy8G BjXGPHZCQdFXKq2kvTniNVX33DtcnXahyoxsL+61RWV88Qs+//y15ik5no3K sbXGrbG48/ITk+0zBLQKPxkriE/B+GZmriY5H7UNcaY9henorCq/fTmdzFvs y9cWdmehYv8nivoQAerF2lNb3uRg1C4/q/UdBBB9d9TXzuSj4Ep3efMaAvwk RPL1ZYvQ9+nqglOFBBx0sxi/NViMzy5+ic0i/Xny0vGquIBS/E+oLSSd9HfR +8cBK9TLUUV3j/4RP9K+qeZ0a7ICHQnuL3pPCJh0OVZVEF6JofTqKwsWBEyd Mmr8pVWNv6XD7ildIGBgXSr7z2wNbvr6fHiR3H/LraFKG881oOojpf/OrCLg 2Py+dGenRrTbnKBfx2DDoECBcfa5JlwwuPRsnMzbfJuYhoWTzWj8d9Ou4Tds SDRSfuxY0oI3ypQcf9qyodXtytFzga04U+fmeOocG9wTKxuF5NqRt96rZ8cK NljeMyxY/NuOu6Rjg571sQDD5d+1/ezAn1afEp9msqBze0DpgWtduG76qNbt Gyzw3bHbuOZRL67dv/aFYjwTngl5OmQr9+Hxd8YrSx2Y8Of7J5rhnz5UiPqt xnuKCX9ZiWrRNgNI8xRInRpgAJVMnFJ7hjDA98b2NZwMOOxt6v/q5RBe+i6a 21BJh8SWf1Th3iH02fRA4JYvHczM2jZRfSh4h574ToCfTtb1P/8EjAzj56QB tcKNNNhf/ilY78AIfrdI2WBcR4X1nnr8it4jmOx9fmHUgwr3YD9bSXYUhwoq dXIXxkHC9oMf1XIMmyUjbtR2jIFTw5lmicwxNO1LOrPCZwx2BBd3mHKMo/zm yNKjMAaLb68Q9W/HsTy2dVlp5CjwFOicE0ihYpu14VYH4xFwClM8Nz1J2iL8 mSI8I7DV9E99gRIN1woxxYayhmF8y5XPv7NoKPWB71IjzzAYiqSKpCfTcaT/ uXNu4hAIB/i4P6bS0fOHT0H2hSGYVq7WWreTgUc6H3j9mh6E+34RDeEBDHy1 06pPFgbhUCIsbDNloshM+q9rfn1wSjBUSuwtE224qPxcDb0Q5pw2TClhYs2d P9vurO8FRk/Sl/eiLDye58Zy8+yGhuryj25nWagR96JLq7wLzLQluffYs1DZ 0XV68l8nPF9X3e5ewcI9G46HTt/vgL0hVeHHWCw8YLws7VZ8O0T1fMuI5WOj SNqqNV0DbWAXwlBwusLGMaV4icEzrbDm2NoXFCc2Liu+X+v+rAWMt3V0TAWz UYOP3/ViWjNoZl4R5Opg42TY18tP+JvgoNXbBjlSh80IBXgNXmgEzfQX36RI nSbjf3fu7PYG8Iru+zklRmArZ5J61Kc6SD0nIuV1gECQFB7u5KuFD18sZ9jn CORL29o571UNPnOJJjtMCVx97rOU0PIqMBSvnB59TeB2+duKLqxycFnyznX4 QKDecQ1pxo0ymKiTPtUWQ+D72YhFn7YSEKxtWPn3O4G9lrH99qeLIXy3jxWt mMCpB+L8d+wR0i9bzIXXEUgVVHPOMMiH/PkrR0Q7CazT43g3digHmsGozmyI wLurblHFtmWBZ/fNC/doBNbU/d3htpAOf51vOR6fIPtfVWi5nJ0KHb9Mlvf9 IZFd40y3fRQPjm/0Mo/ME3hnvmPOVzEKOu+ev2W6SOAmLY+5/oFPcHbx9tw5 UudPshQ7T6V6wdTxKoP/3ydb/cXiUl7vGWB4hj///32yB86naBU9cMctkTL3 Msj+62+ZLldU/4jBmQWqWeT4VUdDWmtuRuLop6RVL6ZJf6kMeFbFxqF/mvHv dZMEPj5gsquNloJtOscPmdEJTLxq/tEgKB37cpu2vqAQGDT1Q3xjZibS370e vtFFYK2RjvtUSzbaTg2yeBoIvCbtJjo0mYfnR43Dn5US6DiyXLtgPeKuT463 f2QRWKbtoq4kUIy8c1+qcuIInFijvN00sgT5B5XPvPpE4AUFzmVdsmU42uL5 bKsngaFCTemeueVIO9uwyukxgYsyO1eZn/iJEs9EgqJvEljEGddp2FCJrvct 44wOEyi50tnr+mANxpn/KGXtIrBv6Iq29q06XMaKWqu1jsDIwPDL21j12Ch7 tOVRNxsHrKMP+843olQor8YJZOOjV6M33+c1IasXK0cj2XhA3dd68kkzxqRH PYiwYGPGUPyXF/Mt+EYhmlZ4ko1850NEo7NbsTRukS9Dgo3Bvk/FF+3b0Kp6 U9iuQRYOPGTky7Hb8ZpDW1x0HgtHGGbD83EdGMbuLuB4z8IjrnKZfaadWBx4 pk33FAvXXE7tr2vpwm3FZ3s1yfd3meGHDXVe3Xhuc9Qfyd9M/MdZ/vnnsR50 Dvk45BnKRDst6+nA+F6M3nLXV2GQge9nuFOKrQfwO9V/638JDJRsflhzRGAQ HbVaNKh2DPR7M8Q3YDeIz/Dc4wQOBpqHnsZR6SEy77BDYtfRUcDhnYP7Owqq DSv9JupoKPqnPTOCScHTdTlm631pWLjS0mHo+DDqX58/07WKhv4M4+5iYhhP 7tt8fYEYx3t7nG4FHxnFZ2//HT0bO47xK1WHHvqO4orc86vdjcbxZEqEx6W+ USz7FY7dFWO43+jncjGnMTTbuab8LNnuiqZN6D2yH0d8T5UtOQ7nq7f/7ZwY Rx2LhKhw+gi6XdhtiipUvLjrUJSsxggqtQt3pJZScaLySvkDcp6++o3RvPU0 fB0dt/kKuY7AhrTUSnJdHr4vqLcOU/BzTeaErhYdN90N2MnnPoSvfGu728rp aJBZmJRJ+uFdNvfqKtIvaQ3z84ENgxjxYPGx2yEGOl6W9OYh/SgfpJB/hvSr R9Uma2PSz7OqfO7apN/Z1WsmD6X2Y+A+8ee8AkyktS/0tsn2oWXCtFOlExMZ D0X3u4t24wV2SUqeMgtjnmy/Z3W5CwNnPtjbmbJwxZfordL+nfjUP2mpzYeF 7znd6SZkfrY76VAc0sdChayPJ2hk/p4QTb40z8lGe4Vyp/tmbZjFdcp8aQ8b 0avWJOZnC4pvW9KZsGEj6JREmc82o+HbT1w9/mz8qaUwcmZPM74TzBu7mcpG Vf9zkzGvGrH5ztbXOnQ2Zh2SUjW3aMCsEJGw1JUEus9YCPIV1WHWWR2/uO0E 8r7c5+JgW41jj/hNzM4TmBzudTZ5qBI5TfeG5JsRWGAZ931c9ydei1aY73pE crBX8a5KaTkG32nNz/UgUDpq4+4khTLMrZGSMybfc5WZgij9iBLU7ymPLyU5 4KKSHXd8QzEaq+YF0ElOXNT7vmrtXCFuVo80aCY5UkV7wn+lOQ+X239+6kRy pjny8F6/hGyMLTbzoJAc8uO+vbbGJRN71hzm//93o5wDh93kDNLR/gxX8QTJ sdYV7ZVZhimoLq2h/p7k3P2ro+v6VsYhtyK/3jzJwTJ28Afe1Ah0vaJUtO0v yRmjHuM9qe/xuNw6o0WSox8eaH0IXHLFcy/i14X+/zvY4f9WtLibwyO7/OJZ 0j6i+IU4UeIHNxUj7Pn/f27B7n5d2sZQUOM3VGAuEKgWbSgSeD0aOOSC1rnO ETj7aEXzUmYCGAZFSHX+JlBwyOl66qs0sGM9zmSwCeS86rIpJzUDlD9nMAvG CTyrxP1toTMLfB8FCJ4fINDoYo351WW58Lqd6RXeRuDuNW/upu8pAKsrR+JS q8nxrNPd7HYXwV8Ov74XhQR+Npk4QcspBm7Ky68bvxHosE4+LlmzFFx0z7qb RhJIeREzmNpbBmKfQjc/CiTwxi1skF34CbLiWjUjNgSaztze4uNVBU0T/pfU DMn9yHtrQhWsgfAPIoamJ8n5sNUdrsvVw4zNq11/hMi8+fSzjGFOA1CPPkm3 5CDw9MnUFp6IRpCUHtSMHmNj4LmCz9WknjKl6OY+JuMxr/RVozC9GXSmAnJ5 A8l4/H0+JSWxBYq7fLY5PGDjXIw21xOZNvhw485QigIbT6RtFOwR74R4beON tEgWWoakmFsMdILG+9VWa56ykPVhzmrmUxdY6ogKcOqxUGfaWG/d2h5Q0j2V 4szBQme3xwmupT1g9zdplLuNSeqEmi8Ux15407y4YBPHRGuHqdqjw31QcYjZ 1aPJxFme4Hrp9/1wLJP/+JgwExWWsrjHTg3At0CBljY6A3fL+X9pujgIX795 S919xUDWVymxIrLOy5O4Z5ZC1n0aRhpyN5aGIFvULvvgI7Luk5k6qKdDgUPu ihLlR+l4+kUMTXyKAjv0rTpGqmiopDmZuum/EZjv3Z38qp2Kj4bG7CYcR+A3 z0Wv8x+oqCe4YR9XxQi835X/XvoyFRVEDcRaDUfBy0l/Rrx1HKUod88kPhsD enJht2HpGBo0TvBzl43BGK/xn4WnYxjnlvDdY/U4iNyFoLL9Y+hxLIiDETAO 20KYcs3Ro/hf57A+8wMVvsV6bFdyHMGUURGZHR1UGDjh5XBJZgSppvcrzQRo EP1FOTezfxgHyud/bfSnQc3q7BxltWGseZ3rXPqIDvTXaR7vF0muJrHS96fQ wUd1qulXwhCKWT4a+DpChzSB96oxl4fwvrnrzGNtBnx5XikqmDqIccPNi4kC TBg/4ndsZXI/JkYd+tSuwYQnT6dnyhb7cOMbr2bCjglu/iJfTc/14QGONQrj NUww0XMI1KX14GCBzMO8eyw4dlF3oHhTF+bXB72W+cACYUGRbbJGnXh6N9Pm RT4LDI9fyE2J7kDfXzZ7yjnZ8EvgzYrV8u147KHB6UwJNkwr5udOkPl8l0lp j8tJNtiPrB3jzm1F630WDxLd2BAU7MQ9Di24svChKFckG2J23Tud59KMy7HS 60AhGyZ2ffPrLWnC3br5tjt+seHLBZ614scbcfPDH9QWHgKWXd3llryiATmf lYgbipM60uDWDNWlDp9eUTca0iYgyrjUdrNjNVI+Jd9zvUmAZOCF1PmmSlS1 qN1d5EBAW1u7WZnUT3wYC6HvvQkIDDa589q5HAv938+sDCPAmchMvNheinHi Bg/WJRPw4bizMEiXYOS6tVeS8giwi3zww/BFEfLkqS+nVBJwZQNrrePXAswr Ce1MbiVgx9tAOdrZXPz7rkl/wwABn1SurpAlsnDtw0xOLioB2t4CFdaBGXg+ U/VpAEHqXiGFvHqlNJw463X72x8CjLR4LNlJ8egdNPDKfJ6A67uV+ISJSGx+ lhGSvEjAzPNh80GTj7i9PeGV5z8CvG+ln6KXvcJEzlDZuf/bjx7sezN8ExwJ /4CFJXL9qXGPDgu/gU7Vkpy3CwSknBbxO/cpDF61fCkpnCWg2d/o6irvr/Dw bXXHs18ELGmOpdmdToL9Duv2NzEJuE0J5tZ++Q1kxswkc0YIkFjcZBky8B1y NSdXKfcQgIb/7f17OBtOcS+dON1IAKOpaO2pD3nwNWTq2kQpAZTwiS6DyUL4 JaLbJZtFwJt0utJKiWKg/8u4vCKWAO5SoebgxhK4vqnA7f57ArIteNWuPikD vmFBkcduBOyOprnvk6iAUo27LIH75HySN/1YU/8Txm5fy955koAV3vxnXmyr AadloyGBsgRocClz/y6uhfubpT3DBf5/TvfPbTGLetgwlMsRNMCGbdmC3/9r a4QN2xSnXpSwYUYg847Y1yZwd0vIWxvNhv4WRQ2th81w/FC4Dq8ZqfvpU/47 N7aC6u6Of97H2BC2sCI9r7cVJEJNtVO2saHA8O7lW3FtkGXWenCikQVsQYXF piMdYLNXKuWTFAs885PH5wy6Ycvkfh2XBSZ0hWpvlBHpga0hl+dF65lQt9w7 QGqwByz2OGe6WTPhNFVh0cy0DwzX/6+ie49neg/jAC7RmOq8XFJJSa8hFocS FadnE11IciKvJClbpRxHuXShnFBK5dINsW4Uc3JZaC7V94xkYZQW62KMzS6/ bb+uDuro/Pz9/e/5fp7395/n9X3cTAI91BB89FtjtrUYfh91nP2BpAYHp9Zj jAEx+GdQ5ruzMHiUvux2HHUQ5vVajxjtw2DTjkY/r3ODEJ+4tKvMEYPLgfqt QdJBaHx5S8+nQQWJJlq+6w0JjJ0KKtrarIRoIScv9scQ7BUWfSGfVcLN2piV VP9hkBjE+PM3KuEnZ0OqLWsYwpxWZwd3KOCTiivoWSOF9vhjpj+fyeGK6c3t FdEyWG/Dn2Z+Wg52T1Yx53FlMOd17eg6TzlcOGnk9kBnBHrSFffwqhE45ZDP 88odgergDknPRRkIDcbe9JfKYb6N/SUtXQbVpeEmdEwOVx1N0t1HpVDqabSa 66gAz9B0811hUiCFR0/vqVJAuZ2qz9dqGKi8oc6kMiU8/VRZRekaghWcmDBn qRLKCoutvZOHwH3l9k3SRSq46378fESvBCrb2h3puSr4YVktjUodhPaopPHc KAwoS/f2thN1tLU1I+kRdXUPGvhhzh4AM2pWBKMbgxsGvG9HNorBgJXiqnBW Qx1V4bPzej/YxzEVpAg1ZHf83Lpo+AM8fOm0c3aWGvK2nGVuPf4eaL2X9/NH 1NC5xOGwoPkddDVyc48Za8A/ieVBN3oHBhWjhQYeGmCMrk23LxDBjpkWal6m Brpu1254zn4Dc8VKlz+JnOmI10Q2Y0IQM+c9//KbFur4sYvxZUL49cW0/M3h Wjhz7/ScsQc9IC52mkwo1EJm1mrqMPYKPg6tdPWu10Ixt41l6fAK+vXzMMlr LezKZPm4bOqGTwkBxRkkHLrwwKtCngCSSA3Fl6wI18xm4VtXd4Kir9ZmtxsO XhFR5+qq2gHeztnw3Q+HbGovy9jmBWzLZLvsicDhW6XO0fiCNpDQaQty4gjn sj2ZmpnPoUy3zifjDA6RhurmCynPwEL0ddKH6HNNi/xz+KdmiGnSv9NxD4f5 22kzZ7jyIGwzre9BHQ4Ns/IDOdhTCGsxj5zxDIdwjsUt0R9NUD/ie6WPcEb6 8YR1hZYL9U8uvrD6gMO57jTD0Jha0HNNPTE1PytIXnedrKkGZY/A0VSLg/0W lY3wTTlY5JidmvrPoDBFyN7wshjSOLrz+8dxCJwpkF28UgDU5wHoMOFsbAlt EYucAZIanvfUvi/Otf/ufPRjoLS3TjlTzr6Xhuyh5ucgnk9KoZpwtta2+pHR /ZvooG5FXBDhbJte6NNVO+6jJfEtq1wIZ0mnDfNCwitQTlf/wrTPxPkISaTv 8hBZsihRvhjhekjH8p+cOhQT0R43tXcxwL/pqtqlAZXTSOVrRDiMjXBa7lY/ Rlyh6QVGJw77M9f7fjf/Bw1MLmHrIxwkQ3cSxUIeshgIZS+qJhy3ORkpy21B tu8711XfwoGsIudP+Lci7HH0uqZLOKj32ZUaGLahJvmMs7QTRP0s9jhPNPOR uGTlDxoTB3ehjqQhqR2xM4LZT4h3tcbcOGH5ik70TnmsmEvkgY8Y9VuUAkQ6 HWrqvBAHiqYoY5zVjapmBbgu1SXuj5ynyCp7iegUt6A7Mi08dV+RCDt60BVR JcWyTAtmjKLJjc6vUey2xYLFGUS+jXenM2cIUccBK8YDhhb+So6kV1a9QfcS l5nvXqAFslPNl9bUXiTyuN14/qsGEusTbrQF9aG3Z+gRXp0acLbK8ov4JkK6 C3rPMo9qYG4KzXO45S0qDZ2wEvpqgKw3F7fLfYfWJiSpRJYaqLwbO6vb7gPS ja/Rq3yshvo6bn+q9wCKTqP8zccwMF5qZjZNbxBFJ3tzHGoxWDV2Wz7BGEQe h6sy3JIwKFpBj86kSFCyKbtmuz5G9MV4WH7BENI1PTJuSFYBOUtaUvZ1CDEO 5UyS+UpIty5p79oyjAJaUy4L0pWw5pflwX46UtQrsYwtmVCA4AXPviBEio5k bmagGgWcU5o8xiqk6GT5pAf7kAIO7ldL1k6Xodjha4eZSxSQbX3gZFaIDOmk 6Gb92yeH/wGzfU+j "]]}}, GraphicsComplexBox[CompressedData[" 1:eJw0mXdYjX/4x1tIEpFSRqFESgoRcvtGS9FAKCWjIaElIQ0NLak0kJIoLQ3a w93W3nue/ZyGdtr5nd91/X7nn+ef57rOeZ7Pfb/fr9d1dt1+pGfKwcbGdoab je1/r//3OfP/12hGtHqP1wJIdZ98lnF9DkQ/tj6ePzkBV16sdeBTmoa9CuV9 faQBuDH/gZJTOwFsK7ZmFRucUPBdmpyEwhAs/3ejN7ukDTOPptBrDJqhvtSg PfBBEy7f/UcpedWMZPOGh7UZjWB4P8s5oZWC00fPgc8CAUH3UgKzlOuxZue/ 0KByAo4r+uis8m+DvcJtYyKTTTDA89lBVpAJ0Rtstznqt+DcFY0FrfUE9FfL q1jrM5A2TlSEJ7TAmy/EShSVjqWNwH2ytwWvdy/GbHvTiI6qw6t2PWYg5dLq CzonO+BNlrt83hwN7YfPkul2BBxJSojuNS7HQP/AfVb2NPixV0p7wbsLeNiO fzOZQTDoJbnfbSCAwz/AqkeuF79u3+72NIIKWyq+Wz3kYWJoS7364cx02Gcn b5edQka9p4/oNVYkVMm49qXVJBLF3VKTtLczcfFZiKm0Oxl+yqTNqr4jIff2 5jNXtzPB+8K+FxK3I+CH3vdgwyASLL/9w8vwIQOfb9cp3d40PMdb5rdtLRPO pxx5m+JFQf2Z1SYBQ/0g0Bu2T7OFQD6dtp05L35hyZ5PK8ly3Vhjkbqu5CwN TW73r/hPlcKCsukZtwgC5XfwbOdip8PefRJ+37ED5e5XasgeJaDN4FZUh1k1 ZCZXCOwgd4B47LdjT2dpMJTS+aymtB61MtQzvfoZECzwOLbtIx0f2ZP31ti1 wQONcC7viwzU+Lrszm7ajOItO/+L2dqMDURS+rIRA6dLzBfuhzbDzPAUp8s5 Bh77OS0l1cqApybzKm+gAQ+JX5Fu+EQHp/hZ6yCLNvgYLtmx37ISGqs27my6 SkAjz5f88Yhu/ORblN8kRoPAM/82B3wmMHFVVRDXi1LwDp6SzDpLRbn2z21r +fqwXtZsfvJKLv6U+M5/Y5jAsk0e0fM8fbDDI2mh9RwV58p/9JzjZcJBLZPV 1lapyPvBXp1iRIF0z6EvopoDIOOf9KGlzAMF79X4qYgxYZ9vGSPgyzLIr1H7 rcFYhLD5ZzONEn/BbQ9HSWrWDJTFvHolIToIa0Jnu7UPTEHegesXo2PqYNvP bOWq5DFI4bQp0blQg9Z/X3RddqLAzPGn2mSpDjy1YnpOu9sVtwxpviZy45GD ohLJ707CZIk1GeQ8Mkx0h8U+rOhHdbHh2rstg1B1feSl52gCvBx5O21bRob7 LykrtxcoEG34sqIg2h/NThM6lOuDUHvGqHP/f2QM+r52X9cXMpRLP6jzPchE lLxzKrzfAhn3HRJ5LpFw+3XywU++ZLQW3kByV/kO3ziy5awGCKQIdPBmH6aC 89cd6SodvViw6dzc2iICvi/HLW7kKYJ3DRKcn1u64Xjlb9+vG2jwSfR+2x1q Odpt7Aw/60nAv+wVTtcZGm6zFSf0FjtAunh19ZkuBhobqfo57m7AxH7tp5fE WlHIzmJH3Cgds78Y3TQ/1gx1771sHK4yUPghu/iqIAakkPa/mt7YhGbXE9TT F+nwnU7a7U1uAZGL1T4eGQ1gNZt5taCKAVV8Auh+rR01T+qcTL5NB+lNX2Ji zxLYlVVWdjq8Cpr+483lUqDhuWf/9scZdqNWyufvzb7FaCp/N2xdHoGbk26b OHr0goLXs6d/Haj45fyzw+ozBITpH+cU6cvCa05f30gvUSBjkuPV7O8+uGai 1f4r6geoHpv/N8HJhOyPDHu9nAHUodi8bDhIAbsH/xIFdzBR/WSVW2PPB+CI ZpOUZCcj/UPSl3M7yZjjLjWIndaQmm0fnizGxOYH0UJeH8lQdiMO1zmT0MSW w42ymQnpCufK6jYmgFjbx5opx354i2mCYZkUeNhn1XPdD9GimOdlVR0BjxPD 52UXqVgpvxDnz9sDEt0nYzb4EqiYVvUuSq4cD67S9nLU7cRVgp7rRTtoWJEp wXHMtxJiDeLfVl8h0OaulgbXHjqMSh4e+arSgTNHbhI2fxlA2y/x9tHnOugu I3veH2uBf2ButHaeDiL5PDMK1BXYGDiiNsdchpeW+1XAdg5IMcvBit1/oVnY McKv+g/wtOU+3ps1BYNClzeVH+yAA59OljxnjsOnxMW96zR/IY9V3th8MAPI N5Jd12t1oONy1HOZqWIYyt9HcbepQJlU0Wjr/G78KOhw4O7bbtA8NvF45TcZ L3qGro80H4SznNIZ02E5aJkzFXXyMB3wh/ezj7f6IcfTN+Ll+WK4e2P+varU INy/ZBU28KAH/d+03Lnwk5XroY5TOeUE8tC+qiR0lcLZggOZoc+oWMc9kbSG qxdLyzuN91nkYdqnIvuhDAK3bi4QPfdyAPLlXKzeb6WgA5cUOXQDEzLseG1u VofimvWWH5/qkUFk/3Pz8SoSnMmTmQjZ+g55o15MeO1mgr7BrYixMTK2E45B g1Ik8NjYWY1zBO6cELpUWZmF2x9ueOij0YspG1R0v7ymogoebVsqLgKaholw awmBzpyH59qsabCaLHEn+HMXpn96nRXwgoD/rE+JrOGogDw+kbc03i7YF4F7 uD/RQEQ0Wzt1Sw0+P/7x+Jt9BLAdXNwYcYuO1avqlfiM2gFi6MfJLxnYELku dMK4CXdvtuV92tyEph/yt5yxYuBTDzPL2dQWOFt3sNdlDQM3L6/R+PmHAQqW 6oWC6+tR+PDpgGEXOvRmCvuQGG2gftnhXbZMHcjzd/f9+McA9Dt/X4ezE5uK 7p1M+0OD/GRZ16N3CRR4mp1onPgbjsrxzczz0rDJyzX+QGc3iu+0yHshU4Kb LwwfUvxBoPJ3CXYZjx4wVtW3Vm+m4qRdbWn3EAHn7sT2dT3NxaUffIJSvRTg KVxeNBLuB48gXVmv5M8QbpRqdUWECXrqHQYJsyQUKDLxfC3J6lnhOa8A1p7d Flm9+cDwc9y1uZIIXU1CnaOrHD3XUvDrwDHcfTgeLAOOrk8QYKIfieiMPUmB ls0ewuQPA7g5IUOnZJaA+raQLq4jWbBhaF+0PHcf9Dgv3W9TocJnSZG1KoeX 4Edaq7rDqgWoM7Hve5gzBYbpE82ryNNQrJvcusaZBn+d1qUp+0/C+pJ40uP3 +bBX6ZHeLok/AFkRRm72zciXIawutdwDvKmxVeyn2nD7JfnHbAmliLs5Xtv3 5cIzH0PuMTMKUjJf3Bm+QQexSkGqe1kHPvN9p2R6dhB89gzyqx6pAtG4cwUv z/ZA5fpGg3es3Jw/viNZLKkM98+Pbnf8woRX38dCh/bTMHnc10xyqgf6XNQn yX4Ellzv1trqXYau4RpvLgl24Zm1m3hFTWkYrnbj/RP3Gjjj3SHpN8nAsPj8 E7b1dMh9E7/+qkIrlq3v7Nb2ZkDFd/vpLuEmKLHdl/emvgm636rIpjxiwDmB Tcc2zLSgo8CevNJlOtwc/37CeDWBPXWZR3dvqoPtnH1r3+XQ8BC1v6KjqBM5 swslh+5U4ImWOMdMR1Y+5TTNN5zsgWalxpaoISrypAiu06wnQDvE7u3qS4hr T84dsIqlQtbZTSKj7L2we89+s6912cAtr9ThMEFAZ+FJpxH1fgxqujzPUUWB 4VHVTRZCTOy9tGX//IFYWKl/urlmNRll3xz76bWVjLmHGoS44twhyEAg/BFr bjh2uKqtX0uBVv8r5f+tISHn3gMh1uuZcC34R7iATwp4mfX6b/UYgO0npmef q1BgaXyNoNV4JhrbDLPnzhFwTWMi1lOEisORSu6NT/vgvV7BQWEkULpbWHWn SDG+8HF6Zfm2G1VK/WMq9tBwY47lif6jpSB9fFJZJpbAow1j3qopNLhq0bJU 2NPJ6nWN8zEXCHjntlmBa00VGArbk7Xa22CpacRZ1IMOU0mxYe4xTTjEEZfr 8ZgBV5Yr/+w8ycC7Z6WvahQ3w4Tvr83VNDqSKD9SN6q3IqlXiIRnG/BW/khm ZgsDTZvbNTzWt8GvKGf9qUw63mRn3EsQIeD8rXfHxhtr8J/AzMx/m+jgI4U6 6192QFmaQ19zSSlMZmkKTUQSQHLMWx6x/wcGa5R9f06ugEgAGGd4zMPmqm3d MQGzkDz5fH31xnFQnv98kDo3BaradluGnHtAm5wVy2EyAafUlimjLmlo+y+E w8OOCVIPJJ4cz2vH1S+XB3RMa+DisXT3ddJ1eMbnZIRSaztu5jtC88xuAwm+ 13lrnCiYHlV5f1cTE7Y/pnJSHpWjcKxhmcoHBrRL/177Wrgbtrn8OhCaXg1B NmLbbAqYoJSEvyWdO7Bw4wCX8RwdEqYvH+A6SGD95aG8VQV1oGzOfii4kob/ 7a/KUeDrxMCxRd4Tmr/xmUD833kFAq9Iem/x8OyBx/edC199peKPY1s1Z/sJ YMzUe0Qq5KCronJ80woF9sm+e8KX2wfqO3j4Nm9MBGnfVd2rhZjQlzXSvLyN hGICJ+46L5PB6bebTcQeJnrzbz7IbeWBm+2+nP69MIAJj62/2WymIB/DYCJF NxEayM9Grmxi4nRsy8zqTVTomBrerRXQh4cmlpu6BwnwmL5RIvs6F8Qebzx+ /78+eJc70FEsSwWOLVLiPJ3F+I1DSRyyCDih6H3LgJ+GL2fUnpdWdwN7hn1h viaBHaN/E8J3VaG1cvjqHTva0fJg3efjtnQ01WyIjGitg1tx7pSnrDz4RAjy rN7MgFOpa0a9n7dg07AKtz9r7oQ4VO2vxjTB39XFnfeutsCp/hbtUREGLHac UuKpacHBD1M7VdkZEJjeQLr+mYEplThQWNAImZLG5+LU6ejl/JznYn47qvHc 8w/RqcEiNi2Rw+IE/m7x+tMh0wGK8klmb/bTUU1OXrTSiQBrl64nNcIV+HxW UaXIkAbz+jERbYwuCC4zdBVeKQBX9uip+G4Cav59O0FY9mOGrsbl3fkUEMw5 3fCek4mHK+eL3+X8gA139xrb55Mxpm5qrusGCbOOqBo3v/uAFQpsIttYXCd6 M/fT8hMSbMrmoh6LIaNzXp8GXZQJG9fFuFgL+cKOVGlfb18S/HEfPdwYSIac 9stJxyeXYCjkwIt34wtQwP/E7s/ENGQflHubeHYGhN03CZfXMmDk132xfQOT UOWTtLwmvBxo7OVrCh6PAqnk17kRxUa8odMfpaRBYuXntEnaw3Zccj10p5HI QLbA6XUcTe/A6mSJmspnMg551tVXJFDh7GjBkWfuPeiSrvjnYOIgDAh6LD2v Q+j56d+Y9noASqO7p8XDaLBG763Mp/AsXL3K/JnMtkGIl1eMda6h4NDdDH7l ogFwHqvf6rdC4IWg18eU1meigdai5SqOPnQKf0CEbqCi+9Tyr3L3YnhuOWAQ zOqR5wMouTuKBpaOBtHkhE6cbpZtjjtDgPPAhnYrpSow1lq//7xNO0gqXLNR NKbDuM2hLY/WN+CliQdzbCy/5Lmyqlh1JwP/pN8ecjJuAa4JpVXNBB1527w+ fVdpxdKc0986HBvwcOCTOxkNDKx+PTER3d0OhZa96wqBjn03N/xdx8rHPM6T JqqrqvDued3HfwZp0KGk85vJ1wkiNLHVcyPlEPH2VKKACwF8wf6vfWy68VDE 7suUgzTIfr3If76RQMfJ5OnPGxB+yZcoludQMJiTb+WkTT8WHDIocL6bho9e X6+KZHn/7xMf6OOnSBB+6BJvTicZkww/bw1lzUORUnDfVe8AbGuvf7zLngxe h4Nu18STwGRSzmLfz2d4eOfXv74sv2yQN/nGHURG0dRUx/OsuTk86kxf2sjE Sz197y/GJuHot+iVs6zvnf6qbR7N+h3y5kcCi1p/AvXpnTwJNia+8s8umDlD hdlLbZWBW/rQr2vdqCmrH4k3lqUGtgicUq9yt1/sBs/uVY+en2C9h9JNazwT qvD0FRi0V2bllNH4k+NH6bhoTQwc4ewAI0vd+wadDMyLKbKMYp1LqpTXv+FN rRj17VUc1wQd+a6qFHsUNkKPbfbgIdbeRrBrqDw9zQDJXfsux6Y3426Jdvcy UQaIcyWUn/6vBZwl3/cK/quDjyIfaLRRBtQVqy0lqq/AQ2ed9Mu0JTjfO/LT V3cWSEejhwyV/oLDqsxTW+2H4UPfZMxl2ykw43nC/2OqGcqi7ok9NR0HZozU MNm9HOmh9185h9LgDsH74YBdB4rs+nonk5wGkxZ3/o47FWJYWvFOxX39uPWN ZsJL2QGonAUr80ISPv1Zey+icBCs4oZ1uT+G4wnBxCvsoVRYMzp06I40GRJN R9IcNqVC93/3FiaNByH9+Imbn7cPYKNCrmc66z2rqaVcerqNiSf0jf7U+/0E /RcSE+NLZOzV26C1M2MArS7Z1h1PDcetw3mxZ/4QqFnLeevAWzKUbE/wunyd hJdec+OZVUx4ceURKasoEZxJcR+/Mfshw+i+kt4rFj886IgIXpWL5G6z1nIW v7S9leDWe0PFm2VO5TO6vaCm558nx/K7XacW/GJvlePdvI/X+vQ6MX0707eO 5Xc3anA3P1ZDXH7wkXhWj6WafGiQ/EiHuvm0EU37NjT4XGUCnQxgfyC0bz13 Axh/G6lsC2yF8cki6QctdLh9Qmw1L3czirHFqZjcYgCv1aiLhh3L32tu+/Om NMFp/w1SH5+x9rHMrXrvUhv6Dl+j+eVU4/Njjz2cZAnMows/41XqBKMdaXcU +mj4puIIlecNi1dOW8nPdpSh4ZOA3d76NCj62zSc/LcLRtO9qpeul0Izu06P /hcC3E7aON1l60XZDnl99zgqBOyNIWtQCQzhkNMRlMkHuRJbs/AoCrp/iz2z J511vsFi2icK0rH58AHLN6uZKP2hxyDDbwCqYh4unFNm7e3vqwWWO5gQqFDR M8rxAYOo5fVXJcjg7M5+hDFPgoxS16b9bXEo+krQb3QLEz5l3ZkXD6Qgj0GA ZWBLP+TRnN61zxJI70jU+nMoC2kcmytm9XrxuPUNKaY3Fd8HXKXxF/wCy5dx RTNNBIpt1BZwqqHCHOVBtFt4D6av28qlG0JA/OcWzc1PykBs34MLPZ87oSXS N+Qxsnz0p116691FyOITFsuVnAemnMnZi88ngVc0y6PSdxqS9juNix+hgMAT 9j8H5SZh8I3VqLx8AhjqRIbE5w1D24yawT7tVgy7GL8xQakDuL8+/HsxqAVT AzqPrQ6qRb75PWbUbb+h7I4p/716Ch46Gn8wsJ4BL4P2v5WKbMF5GX5tzs9M IE+6uWzc2wQfvroPK2e1w5UbgvznJAlQp3uGOzTXocO18eqYKQKKrh5/IHyd jibaEhauzA7osrN5mtvBwGvbdsRaa9WjnOdCSexIKx6r00gfekXHxPM1P9+9 bwbzDPF1QoIMDOdoTz1SzADacOYM26YG3HuguazmHR1Gnnivfny/DdZ/MYzW mqgC2a5VpoOs3vA/+NUlXK4Ts27lBMcxaHDp60NltiQCk97OXz24qRQ23nJq Y1ykYtCzl792/e3FSMlCdr5DeVg8lS7WQhA4xFy16uLFAfj02lx/zpCCY4fv eqVtZsK06ueeZ+/j0V53/T1rOQpsEglcr5Y+ACZHjlrc++MH9wVBJJGV46/v RvO9GyJh+MC+VK8jZDgIv41dtzLx71LpkymurzimVfts1/l+vGqrJe5aScGD t9UDR9UywTj1QrnqIoHhaYsPTn6mgnqMh9edDb1oYDdazY4E8J7j8JsULoZj 4eupoq09cNdXO/d4FhW+Rnx6h4tl6Hx9BjlfE0C9Lig6Zk/DT/1/zM3CuuCK eu/5O/sI3HnUUPGycA1Km2KVjW07uk9mliwY0tGV7Sxfo14t2GxXlKduJDDU MW+TO4kOObFKmgyDVtwW6/CpNZgBNfJy+WfXNcE7gR+Pfu9sgtgq6lr2NwxQ 85MSij/djjPpPfr37tHBXz5SI4qHQEnXc39GYmoh8CD6Cf2goUdDakRTfSdq tuS5bN1cgT9jdWjrXxC4rvE1R7xUF3QanlJUCaOhX2ninoOZBHTkRLn4jBWj 7cEhq+hGKuj0bWjJ9O6BJ89qIo++/QEXBBWKxLmY0LVFSGVT/j84ZLphds3T f8CTpD41vmYBXjrknbaemAXhx8+9HOPGwe907/lIkWmo3yvK1f+9D1yvhyV/ D5+AZgUhxR/PYnCfupTwh2uDwNXxJLzlfDteP5Ugqr62EXyTsi+Nb2rENWSF qcu5rWgnqK13R7EFAnP6jJZ+UvBM6iON2gdM8Fai/TCjV+HESqhe8jECXgts XVXU3QElhKcd6jXAxeL4m+rWTJD+LR5Sat2GQ+VCo2t9GNAlsttjYzUD4bRv 1wWNJvhTtbvs8w06Dr+hyO1g5WWkNbbuhFps/3Zq9ZN+Blqvv0m9cq8LfPlH xVuu0DDsAsU4LY0Ar37FRf2SIsxzxz15RVSYn454NZLYA5fcT/OUemaBuVRo QvICAeI7TM1WoB89nO+X3WyhwN51TdavRJk4l91SLGsQBT7L6Zwnekh4SvnS wAMVMob667snn38FTyKSDvGx/HbC74bSbR0KHFo2v3ft3gCK5hco3eBhQk/S 1YjiY2ng3fPeWEZpAPrCOHKM7lDgw6sfktcu5uFazqPnRQgCAjfnbOG5REWT FeaT/fReiLUtu1MZTiDJ1O7OxWNlODTp8rjyYCfGZNHNjck0NFFwvbjuTyUY 8PF+v6lN4F2FyS/VgXTgmj+rZvG1DW/su+xwppcBk25rBjYM1MPu/YN3xr+0 gZDG9sEu1n2CH09/Y0Y04be0NVs7HBjg457/cIckA5/GvCDLirbAdbYsT5dm Ok7ua6lJDGvFyVutjIDqBjyaw1u/8puBhfXLp7YOtsJ5Ge2U6l90BJ6L0T9k WecrvBYWMqrxgytp7dNVdChaCD5xM60Dhh46XLV/XgoeYX0Sfp8JeJF4WUvS vxerQoWV/thRwSJ550mpHgI1OrZszqUWwIr83h33PSn4bd0fvcg//bgp0rSI yZGGsqE1Rk7rmOj4ruy6N/cAqL57Z7btGQXPfowyC2T1U6O9spjO6Dvs5h54 PPWMDF/9l85/+EwC2HR03F5rGfpObBjWs1yEQwOfRLP9Z6DPLO8J89kMrPu2 kSN4hgDuwg1ms6umYIvCMzb50Crg/8hldV9gDErXDit1ztRh15wNkk3JcE5Y +IRLTzse339kU4XAN4zMuPbx55APjrmf5KjbTsanXc0c13MpICquR3w92oeC YeZd4RWDsFHohlCsWRYkaxDHJ6tJsC1gYVNrPRWUOMyPvjmWiHtoDulZ/w2C lFCkbeQ6CrZYrz8RUUECT91HOxk7mWh08JysSH8sVt77uDmirx/tjiuWNOtR cCmodvPO/hx4Iqv38sgvAmlpZjITY1RIvVxkJFTdjVb0SYuAVwTU18zdWUko g5eC7bxXkjohZb7M+tYvGvCEOgUnuFZjs6nT+oHjBKRcKlhXGURHnb8W8R0Z bZDBzj75yIKB55yayqsmmtBMYMS9f6oJeVRf5fKYMbC4Iv2PA4t/RpNtg11b WFwjy7+i/pcBscFbwyY+1qGxadeBK0/pYKW0OoCx0gbFRqY3DburwSryhWO6 NAFK1aL731t1Yo6lvvLJBhp8JJsphgYT+I95y3dzeBkseehqgDMVLQXDrWys e1F1cVp/piwX1/4crYkdJDB34+5qCd9+qA1d0xiQQsFRJeWdM/xM2G1tLe+c lYgys9Uh35QoEHWlReRi2ABcSN45GzQfDR37rv+tEWGClzuRXZJPwr/nuDiH bpFB89r1qt+s/Rc/qbJK/qk/lvSITazsImFteb/pjgkybhrZvCWR+RX2PZr3 LhVionZdlsvVxxQIL71VN755AN/wf0n5OMfytcXgIkWuLGD/zFY1+6AXyl/C 4yMuVOj9az4x8asMD3eFBjwJJOBz/X2L11E0tF4jK/JuQxdcDfeN/KDI6p1v u25s3l+NYap1ptKK7WhzZZdJjSUd7US2PLq/rg6azzSN2HMQeJZ/S8XzHDoQ w1fcd3G24WrrLT7CrH46w39d8hxfE/RKit067twETv4P78Q6MeBAtESkVPgK hLpQU4dNl+FUo/iSPXUWmuLLT017/wWXZcNl+U8j0FObsNUlZAre/ZK+eIev DRIHywQc4sdB+bZf3GOzEozJt3KoCKdDlvOLwNMPOlBl72BYiGkedCy4vg3K LEE2VylZm5e9OMa8eqN9qBfYBC5Eb79ARkN/TPz2YRA4Ep6sfROYgnTiC3uB JQ34mXfd/x0mgX/qHeomgVyg+oxHVmsOgsfb/2KIC31oWnO+yO0fFeJ0yXuJ OQIFOJy3vYwvhPFLLdHexRRMPUkzMqf34VP24AXeQ2mofjS2oKuLQL36a894 0kigHi57WATIeOEEUVjNmo+QiPQP+/ENRN6Mc9S4RwK5hgu/J1PIIGYZNXZt Syr2RV7pi2Pdd0nVTMS1goKNmrH9bDf7gfdqW3VfFYHJdhpGjRZFOHB2OUJD vxsvsF+oGz9Ow8ZN/TIPKsvh9bn8P8puBNo78hiJr6fDVlehnSbBHRjpeff2 mBwB0QHpwYKvq1lc+9qQo6Mdvv9+6FN/hg6vPQRmUz82YMrvE3E8tQxQ5zoE DpN0dOasSOnlbYXDxgm33Vcz8LTkEWWXjBZkW+2Yo3a8AbNmh/92tjIwBPY+ tGTtWeQVf9fNLM9YSglqiVchQJYR/cPtWRU2r1fY5j9Bg/1LB7g5/nZA2XYF mqNWJeh/Tneru05AXJazO21tN27ju2dyU4cGF8039OsmE+h7BpSOfCuBALvt Q4QhFYsSbpgU1/Wi0QJead2cj69ytEO/sjzjimB/4ZvgPjCQS9gpyk9F4V4O seh1TOjfYhmnxMrx0aKl3utrKBDgmjm5dy3L54tS3vxIsEeRq1p5n1k+z3ti 1+YbVWS0lZx9mXSBBGf39svSBZhY+U/X+fzcN7TuipsIVuzH06J//4k1UDDp +BbQtMkE5nDqx9cLrLk4fs34Og8VLtiKaRd96cPvnlpr79cR8HC23ZDyAeH2 fxh2Z6AbrnnHTZnw0EBEaF0fR/0iRAk+fV4WMg+UkOR3R0WmYGVQeXd4xjRE vV+3xvQaFdJtWxsabk7CrqBsUsyqDEglc3eL243AfeOs7aoPW/Ba6kv65Zgu yF49vKv4cSsGSm8cvbuvEn14O/KSlouhkC5lkRlHwd9n5CxP72TA0ayJ0q8F bShoefyr6zwTwt3YVS9V1oFhrx2PF1cXGGVvK+p7xwCwaPiwS60Kb43Y3XbT Y8JA3e/Ft79peFr+AWliuguGlCXVmKy8sBW+feGTXRVeSrX6Hc/dgQGbd8wK LNMw8c2mzcGHGyFZ59CbaH8Grp0J+JCizYDMHmcXPkYTJpbL7tYTYkDeMdVs d/UWcM845HKtuR7+CO7+4kFiwOMkmpeCSDu2Fy2v0B3pYFNcp6Z0i8C/B3fm z4lUAqkj8lQjDw3/NU/9WqB147Qb2+57pcUoHWKr+SabwDERReNk7T6wzvmz cFKKilwbqI7erHw82Nz7B9szMSI+ctO+CQrwsHWofqH0wUC/1nlWQYHNiXGh faz9i5A1TXDjJaHJp9WShlwUOPy9WCuPxV1nNg4B3xM9cPptui54GwkXz/38 V/eXjEsnyk9OlH6DXtoXvWNbmIgfozQneiis/jtTXC3cj6ZXLDIy/hDwcqz/ 0kxpDmwPLVDcmNkHx3wKzUI5qZC3/WaIzj/EoCXNDTo1BFwpf6PSVkfFKN6G yveBPfC4usz1nBOBnq54vWxXBd4u79bO8u1EUfHE988qaJiz47RnQM1vSLth pih6m0A5XvG7nNp0eBhX4nnvSzvaawcl3pplgPlkJ9tSeB0wSrmYSW4tsJd7 f+UnfgZsuHpAMnq2BXWt3i8emaWD+lq6Xn0CA0UlRuutAxqhPTQ1e+8lOl72 /qUV8bYdjVOtBet+VuOtH7I68bIEtnL9axPa0wFfve3bPKXpyFaj+VnFmoDv +YsaZswKlJZdDPn9hAbBOeFsmq+7IKKc61iKUCGUHoKA/7oJyPXeZmG5PAfJ cQcXnsvNsrh9JPitZzZ+fGrfP+5FwFz75RcHN3bg6q0jG9xTK2CibPTYmbEq vDq1vKalrRNXH2qTHD3QCR5Eb4mMDMsXmwUFH4kPQnu4luIcvQivS761HftD h2qtta2Lqr0wpv9RRo2zAl7/Mb/ouMCEAE92avCLLnwoE7AzzZDFq7muAhwv CbzXaVT4rbkSqlQqpnIlaei4p9fxBH83tjJ5YvVVS1DsxdV4H2cCrYOqtbUC +uDJGu9HqnQKXlCX1vi8QkCMiB3l24/veCfLWUhBlgIqznO7Olm+KqO90vhj oz9cjTbsuyLOhEPbdvQf4SWjXdqGMAcRMuRtuaT2XZCJOkFXnpjeTED9X5cq HxzoR8HoaK7L7RR852s712mcDZtS7+5RnCIwUGXK49tvKnDP1yhHR/egvcHW 5/Q8As5Evv0beq8YNAcCb3cf6gG9TVvfu45SWXyQF931ogLdlGEwxYEAdT1N 5oZiGsr3/qBTPnbCZF6Vzo0xBmo9HRg8t1CHJvZRIkPLLRhw2vfk9Awdd/iI U40uNYG4RBZ1iycDZY5fuGLxigGHdR7r26g24bCJoNY1dgbs6Jm9HFDdAjP5 2vKSy42wNUeaUyeUAXtc5uvG/rThSH62zjZnOswnGY3uXUegVPLx2asfa0E9 N3P+ejoNfZ9+KA5t6sQQcveNlfIKPGNnGGVoS+BitSyD/3YXREuVqZ/2pOEa neCCI/kESAf1EPXWxWipjc/2fKGC7fCeD4Y8vaA7+3OFPP4D3jLWVi1yMOGh xs2TL1n7m7ExgKv/LxnUT7+IKRVh4geXyWucbJ/hl1e/7SUGCZXqDQrDj7P4 azDNl7fVEz5Y+L+RYeVAk4KS/fJNMvCPuJhXFJJQVE62V2UzE/QnJz62OifA UjuX7ReRAVBIvh9tbUuBiZQ5zdCQJbjAOzfk+XQBvA8O7yq9Mg1qjpTRgI0z YP+9L7vodhNGmTvdsLzQD9N3zW7/R2vDyjWyOSnSv/BZxtzifEcqZCSafAjb QEHrPVIGCn40GHs+Wqf2owuf1Orp3XQehHCr6/IYXAaLnCSNfJs++DHTHURi 5cDWbfq8ouxF6Lyt6MtdBhOoU8+bLFypaPWG+9sQuQ9SCgcknOsILFY2eRUi gigWZT/tLNCDWVJP7Z8WUVGvymxdtV8F+Jg7ZL9TI3Cvm7B3nRId7metQnHH dtRY43jEZZgBAaXFsqHFdRBnxW+yV7IVAlNKzKtG6eB3abL5YWkT3v+PT4Fm z4DQSdG49x8YyCNtlL003wjZ084iRVfpeKghI/6UXzsu3z18OvFvNW4Tkiww OECgVeoBMxWBLnjquqsl8iMr97t7FIRCCfDYZqNUb1SGTP3RuKYLNHB97tR2 YWM3+Bx9ZjEyVgSVA6d/5RQR8DVR6+N6s16s/NKXwfGS5X9WXZYhSwTGbObM sOjOgIurIjYIMMjYMjodevYgCYeFTCTmiAisS7FppG1nok2yctO+/WToOrZf b/NfEvrcPK0ttJMJHPV33x0eDYPKXM4AwWgSSCS88TR1IsNx16R7S1++4Qf9 M8x9W5jQXTMrbmNIQcdUk+Y+nQGQT7bqyRkn0EDvW9hu3hzsz+LT1ffrxd1V cav17ak45zXZsGV/IUjskGYwWDzp3msRXbZChXYBS2Vdjh5s8LyWfoP1/BSj ozKPzcogM/2JPdu2TqBH2IeMMmhwWWu65J9bPXZfZySupTGgtf1ASRvLm08m O6yNZ7YCx90nFTEsj/q53e0h7U8TipjE6KwhNaHyjSMBVvcYaNf5XERxuBnk LLdmnpVn4DfPzPDPGQz4aNXT3a3XiG9eib/L+ESHcbfMnaoWbfCoNl0+eKgS KjWTfSy0CSgzTVhDKvgLWYe5g/RnZ6D1v0++p4068IUFnfufcyTIWaWKbhPL xAM8zIZziQPYMm3x+2oqCczNQLFSmIRbKdp7HjYOQjrv7wtvDvrDSfFNL9J+ sPIze0+viTAF4rMdT/Aww2GLjot2yp1ByOLXbQmwIuExlfqYq08ooFx/vOam DBP/Nhg6h1fGQJIoNRFkyJi2R+S5ZzYJZUqPFTTaBUH+9WHl3WMEOlaMLQ3f owAH7dZVekM/9jzIObUwSIBcgKUtR3EWjLHvdnnN7AUu9pr2B3pU+DpDuD0+ XoynLwpxTpcQEF95urtdg4apsrc1FA91A0X0U8cIi4+8vH3cjTWr8TyKLFuf acdmXZnR+nt0vK/c/cAwpgEe1vsd1Khh5ewFNvTbwYBk34rn6eotmJgYnoLW DFgdnOO6K6cJOva2reE+1QwmawOveekzQPiWz4VAhVbckORv3cqkQ6tMpEwl lYF5fhlCpR710JljIRE9QMMP0/2eJkc6UeD5/r2P91Ug58C3D+PPCfzsKM/5 n2U3+E+zyVyTo+HWipgDn6oIGDyoKHFpXxHeN689qJJKhRP8fB8ziR7w7rIJ 9/pZADde7jAU6iWA7VbAj7cs75mOc8xwHaeAarmr1zA3y1/zXJUPzKVB7RW5 dPc2MurThhwCz5DwiB/bcuHPaLwruHZpmJWzLTJnoySySeC75Bx4w4yMVsmV 3/azODzwO96V2+sNdYZ7OpsVSHA42TH6bD8ZhpME6T4vM/HyImez5gIBiQIb c4I0qZgiru81PNcL8gm/Tnmw/Kjy+/stfVJF6Oq/4YqbQTe+1b1pYaxAw3cL h3MkF0phVtdt5N8HAuulZK1fOdPgxrXB0qgnXbj1enhqmBYBtSduanEKVEEO FzlMWbcd/u21UXW5S4f2R8nR5wTbsKOxKEO8sRWSDENjXQKakfLt6/a0R42o /vaUqpZyLfDPZTHL+yi48vpxk+0DArJsggJDLZpQTkVtjfIJJqhEfZZ/atwC SqP0K2cMWqFThv2yQxwBzXccXbQkmnDb0csX978i4Ba3bcSBfjruMTQW5mxo g8a3BgdcTRm4238ve+CrJnwzMzaRVNqMi57mFwxXMfDx7I2yrZOtEBD+Xefa GzoaWoJF1m4C7hQ8dv39XzWuL6zW4GP5YLSI0xsTtw6wSexR910ug9AvChga SMDOCY7bhGI3Pl3JPXBHjQZNZ1+oOLC8qoXR5D37Nx9IcmRdA08K+hwT/Voz 2Y+OO1O3q1Slof/o95SHa5mY1am/JBlBgvG7mr7WrmTU7jG+9/V//1//l3g1 rcMT087vOZtmRgbDMmGP61kkCMPTNg0VHzDsa+W6+e1M+JaSzJD8RUbraz8L Vq6TYE7o68vUFQIXSpKmPNUy0EKNa6BPrRf1nhJVnK+puNR2kxiI/gVTWYu5 yc0EKuXY1d6/RoOdaW3P2se70PqU59RjNwL+Ok9fPf67HGJafwSaU7rg+fZV bXM3aFAie+rzBLMKrR5AzT8lFv8kyL69s4GOcbTOvNv+HTA1ntWXUcrA4eD3 xsrLDbjHPaR0UrMVzW86NRBUOoY5fH19/24j7Fq7LexTOgPdE5ce6d9mwOXv ywNVnM3oyfs3S0GMARdvrTs3CC1AWwlW/WRcB/KrLNLaFhkgkr12ZOxxJ6qA V/HjWhrwpfNJaRgRKLLKKP6uUCX4XuLrEuGgIVPX4NCeuW6sp9y66nG3GMnz MfOp+QR2c4Uj254eaL/zb3fwFBX/c+LWOMbKq6rjsa1NLbnINi1XIr2DCoMy f1+stesD/TXxeYVs0WA5dy7ObRsTXI4eWpPZ9w9ii476PCj4B0eSXx9YUFuA 9G+sdBOfA/4jWWJnJsZhrtzwau6BaSjimxujVPSD/hXJJc8fExAvYNxXujUM a/pUB3QrB8Fpjpe3aW07qh83ycqTbwLeAynrQ8oascA+1fzYlxbM4dEJS51t gtenP2fBbwoqarky9iqw9qGw+IKeUC16R7UuhrsSMPCkREIjsx1+OrFF1dU3 guZQsfXfc0wosDhWvs+0Fbcea+wsrGUA53uT/sPBDOQ/6/127Fkz2Fdova/4 TMenZUq/G/60YmHA78Hn6fWYs7BdmJzEwNV83fsfX+4EM8t7B0USaPgw1H5J OISAHQUerls3leLboSLj29tpsM19dtOVj90g46719Cfkg/02hhuNwfJG7p61 ESf7UOuuf6KsIhWMh7MKtgkx8eU31wK2iwmgP5f8R1OVjC9CNPZYdJPw2i5v xQOFbqjP9WiHEYsXh3+HaMoNkyF8zy+2IkkSPi05knGAxQXSTssvuTd9gwdK rtPmwiRoVY5XODlHBtJt7V0c4ZkYFWR/eG6eAH5p85KQUQoe0vrPIWSIxXV2 G+yjWJ5boRNw4EtBMdbb2/pJyndh0tvd6btDaGg8Oyaoa1sBB2pHnPyfEDgZ td01+DwdquKukZt/tmP65v1z9jysfEjzvrsjtha45z60+5a1w/SDHc3rVOng vieRTca1ER1qtgQ/TGbA+fkt36dZc8/n/7L1kmYrPMr1PXN2EwN3xibn33Jp wZuR7g9OszWh8MebQz9DGKivGL5tdXELSBzbUfWRk4HXtIrrcjgJeCPeouW5 VIvvtL8YhF+mQ+LBFB/vgHaQS9utWDhdDrs+XCr85UyASYGG0L6wHlQTZQhT a6ggV7RR0rWIQEpjqNHcXBH07zUTWc+g4HxVpKcsWz9aXOp9v/w9Azd/v/Dr 5DKBME7ifsDbD8MjVksSZAqKHg67UCnIhF/aORYuU7FYGfxKUGKUDNPHbirv kSCBMFfFgzuOy6B1SiWKN34R8gWeZLp0zcDU4HzW0Xcz4HwifrOKLxNW7KrG 6rdOgZVHqtzGDzVwmM2CevvWGBza23q7Mq4WH0anHWdMkCHdIy6/a3UHZonX rAnTi0Apv+2hSiaf0P3i9LNXzSQcKlm7veEkBSYti68YcPTjcufD2un6Qdj9 LbrgU2o6tAxdNd2oQQZV6b2cx8yooKd4fkjyRzRG6jAvvNceBI+t12vSvrF4 pify130FMiivmVyu3sfEpN6pEblH4Si3vXj0fNkASjk43No5Tka+6/UiCiU/ QX3B/fFKI4G9/5Jk37xl9ftKsoZUSw9GnVmTGhFLQEO/0fg9wxJg2Mup1hV3 QcwPSYsuCxrYWJVrDx6uRJXv7XI0EwK8nHR4wlXoWFp+uVO6ux1mPq8J7ohh oPFr5qvlkkZcETTTDVjXghy+tWfXSTMw4WTEpTTTFnjoNtb7TIiB9WetbW3L GRB/MtB/nNyAykxt8r4COhzp3BZVN9EKJ34auPGdr4ND7//0nVtmwIoqV5Tx 3Q50+tvbFCZCh7mGvdPwgMDlie7XKsK/4bzCleGBHioa79/lZGfRgy7dI3Of Hv3CR6OPziW1EMidpRo269MH8QsqH54JUDGjOlPRZRUTFFdHrgvf8QOn439w 60ZRQN/7j4dtej9wanO6j+5Ighk1uV+u/EzQLfwv8NgFEk4FK8bnV5GBczr9 QxRrr00EPZk5Z56Ct+GKDjWYhG0clcoCPmQMi5KydVkVDrInk8T4djIxxNRm zJeHAs2OyqutV5Ew12pmZic3E8Yigmvj1dJBuu/xof0OfUAZ5TTcu50KO3XL x0bOlqDNq7svFNMJ0NiSPv7gIg2VTpk3bWL5ja7hodnJOwSuy7c89iL1N0q/ 8RqTUOtAkjQmR+6mY35MnVVXbTUcH7F+T5Zh9aN5q1j8Izr4Fqu/Ndzbjn77 dxdyVzCgcv7eTTtyA/AoBOh+ymmGt7HMtUunGLBR9Zi8S+EKMFVy1c9+Wwb2 HZJ/zh2YAyNmuFJ/2l+4pp72o+vIH9DtvfLWOHYKNF9qWNJ3tAP7H8Eb7ZXj 8EjcMFSvugivrdp6VkWQAdGP5PatMunAV0q/1iTtRbCku+qKR5The6f2o2Mx PTgk7PHofHEPSFde9Vd4TcZdu66t3us+CNm5/mq3J3+iUdzSteRGGjx8a//K ynwA9izGT4m1F0KwM2Oh+dQgqLxWCV252YtLxx+NNxjQ4J6Q97vbZAKFrs2M aF4rhuGCjbe9RKkoBoqDc3978a/8oQWRi5lo2dr7MITFjV8H8v5xniDBjchT Zve/k3F15G8l701MYDt1tTw2xRxTRZx2mA6QgBxkSV9UIkMlu7mpU3Asktoq uedYferuZFbGuEHBoO+ewRpGA6BlTN59n8VPB+5wYkJDPj5QKFpi1+vBZZXQ o000lk9rH1icUi0FQY46FdmvBPpfCFkXXUQDi96EqcGITrSYnZbzvE7AZmGN x+YalaB+3vWK0HQHGFgH2lVP0MD4xT1VB8M69OqoHd2yxIAXLZY9XMl0ZFRx e9AV2kBfWNA9UZWB+Zz31W/4NSOfBAVCcxpR+jkvrxprT82fyVht7GqFfK2L Er9K6NinE/DRaRtrzhqWxebKazA15F3FlRN0GC6rFZUebwezPYzPDlgNDAX3 2rqDBLTq7nHz5u7CPZU+/VHRNNjuzLnV1JfAoExP6wypcuCzv2nDlkVFnoHO 5f1tPQi0TTeachHP63cI/6ol0NIjSXTsdS9YBXYI2tlR8fVi6L5tywSI7+// /A0z0Hx4ZredHQXc8dZ8ytYBMEnbZagpFwB3QtRefmRx5QUVWk3nLdY53eVo pOeT4KyG9Dsmy9M3qsY+POgYgdvZttxukhhAiXja1/IHFMwqTr32syIN1me9 r7Ji8WqJxQu++K8U6Huvv50nph8/3DXZaU0jQP/AvgnvwTwQ8KYHO/3tAeO4 F/JsiVQwk/Y+u5d9CVp99nIn187D+vZCN8t7U3AuY2eUbfU0PHEzjeIdpsKL U036Wg6T8OukR2NFdTZYXDroN1k7As7Xd+TbTDfjx4eVTtxN3ZC8ZTrqa28r ppuFHbw0XI7rvhayZxO/4Ps3+claHwquGznyKQnpUCi96UpaaTumfZ26rCk2 CCFn+ur2udZAuEH2PNfebngxRVPeqMUAQeYFc97FCpRJMn5Y4MSEq7t+U848 o+H3YHLo0Ew3kCq2/Dd6l8BxBbXQxX8V+Kh/5pchfydGNX/clP2DhtBT0cQ9 Vwdz3EetU4oZeKaoSY+DnwG0HksyY0MLqpMurn6ly+LZQ23iQfLNEDw0rmAU 2QiRAdOmuxJZOU4wl1XXtqFPr8jo6kI6GLqdOjp6lECr78tiy++qoaA3/rjr HRpG2RR5HGrrQu/vwxmHt5RhUsPu5an3rP0zFzt2Qb0XOKLy9sj7U9H8qYXz eToBerzyPAtheegaekQZtajQaqXn6DjdC00Xu89j4Q9wCLF3teNkAvf7bu47 hwfQcM2U4XYLCmyt6+ZWZuVu9NTDjcnFoTCR/loghpXPSuxs9w6z8lldXd47 JvUjrLV+Y57Empt61/vcUvYUiA09JjgjOICJ25TM7f4RUMRrm9i4KgOct/BL U6L6IfPmEm0slgKNgUMnlBfykDva0mg3a276Mo+JfX9MxV3Hdr8yf9ULJxp/ rm/5xOqnM3NBuZ9KsedNwE7BoC5sXa5KRgcaLh6+73T1ZTnscb1/96EngaMk ORFPNjqECTwv+lHcgf1pnIra4gRw+2z5L1q3Bjaa8NsNfG8FgzLBqN5aOjxQ PRmRW9+M/a87VHSPM+DApdjDB+0Z2Kn5oE4hoQmeyyVdHomk404e1V/lj9rQ oO1jJ+9KLcZ+Vzv1gpNA4xzG8LxwOwTO1Hf12NKRXzIi0UeNgCXTed4/xlX4 8ET7+ugKGvA//Toa5NMJPJ4345b2FYOAgJ/E3V8EOG/j1Qr4bx5UjC7m6d+c hbOLXdQgngz86vVMZP8KASptp+KsmO2osihw22RdFTw1ZBcfDK3BDZ//+Bl1 dqBLekGi+FQ7tJToBTy8SkG51PDK6iUmSG6UrTklU4r+2XWPxlQYMHas5sgr +R4Wx/3ZOWhYCRPfC/JP9DFhIOjmrxSXTvz+ZtnyZRId0r0ejqw2INCVc8e5 Fxo10P4zSSf7KQ0r+HIvfefvQiePdU++V5fhhbIrbtQbrHOJ7+h84N8LbyXD h6NUqajG/+PF53ECuNbP7HT3+YkUpx1+P95RIItuNKSQ0w+Basuctn7RIHWu KSSIlT/FSX5hkaEkPOvhdyz0NRkypJTsz4kycXu/v4HEiyiMvqnR6rxlABt3 yF646EDBDcXbbjqr/ACKOYfeJBcT3YezPhs/pIJB+EOtrPe9GN8m5CTTSgAl piDUQf4X6Grs5o472QstF16xDwRS4eGlAIuX0mXoEGWhrfmOlZNcNg7892nY uEDZJpXVBTtfHB8NFiXw4rj2wrXAGnRaUHMV29CG/ZJSE5hJx4cbR+jqYo3Q rKWz3FzIQMY+L8W/Fxngv9XW78HtZnxSLpW6Q4kBI9Pxud3ZzbBTVWGIdqAZ UPDnQxEDBnj5/pES7m9FOXqdhXExHVoGI2wudzJw9LumRf76Bng+fNovfoWG z8Ve5etVsrjXMN5Efn0Vxr/vLuO9QGCM25HDouc7YV6rzFW5i4YTe65/aosk QEHjjk1XRSk6JgsyVNhpcMWvtnXDYjeEHN7PGzGfDWuJcwmjrHORqpobu3Fp AL8e2OJjYUCBwxc7Oa/zM/F8Htc478kksLh48toZPTISmxpyeWpJONeurDx9 0wUr1Nb4OLA4zd+Y7bPzHxLQKx5f9JIjY3dP33Y7Vm9XX35vEsoZDQV7Lzo9 W09izYMwlzEnBRTTvU52li7B3dQrrzIyFuDMzeOx7F+n4Wzvj/cx+2fAafii g1RTI147oXP+ts0APLX79kdWph1Vm2TOFL/OxbDYs69gYxzY3ysNPNNDRlWv n1b3WX7pHtEc9iGqG9e5tZkcChuEOM7tTn1KJdBUDjcEX/ZDrjblcsE0Dbol JAvva+fjf72k7W84BuGOsNKP65JU1ByB84db+uFSL14WZhI4935Pnq1gHq4w jPbeW9+L6qcUdb3vUTEoYX7h3doyUFsKuVZ4n8DqWyZFjWM0COYVK9/+tgPF B26/6hAioPHGyFioWw043Uxn23WxDRqe7Iy2jqfDcd2YSzfjGpEuuQkVkhhA 4rVve27MwF87e/rpMs2w3CW3ks7y7edfG6wNLNuwR3OiYEWxDrPeMF20/jFw fO7cnsj5DrjZKibJP07DplWWIUO2BDzQ49e5/LMC68RC7R9F0mDBLfOlG38X PPm0IVbGuhQmSqtWsccQoFSR7ffnQQ+yM1ZUl7uoIHCbZBHJet53b40+3JnN hVidi9t4dCk4p+3O/e3eALJtGyxV+R+Kzjueyv8N41YkMyurjGihpG9Syi2k NMkqSkRRCCFEooVSEaWUbMkK2eu2996bg3OeYyRCCtXv+f3lhcc557k/93Vd 7+v1Oq/D/BOulzov+VaQzPc9/C6BWaMQuKPVdMmGgmLZEb8LJOngvrnP+W7S LZh9jcesOCgg/nrBgMJPgdN6HW5Va+G4Vr1reU2cDjcXnY2jlimYxity973o KCz9OFKynpmOHq38V0XnM1GjTFk7ymcIL1H1L69tGsc7LTsCa3zy4JPsV97e WQIf24vqRUaPA/Pb5C8u3INok5cRmP+VgFdK6nYHN5aDtruyxKByH2hm5159 82oCWivyJFSFG7HCpe3WcUEC/suz1E71pOJwtL/ix+UumLeYkfSPpqH3q/PX BwpbceDMMvXXSjvuypV89ms3DTH0iVxuVxtcnpUQtLWlIWv/UGOgJw04z4n6 Nj9sQ+HjJ0JvUahwMv8SxdCoE7LOsJR5ujWAuM7mk1elCMg6VRvux7YMzpFa BxJFfkK2bXROvm0PtkY0uZioJwK/nOxSv2k+rjtEHRj+NozXLy1eXZEZhYsR 0x6st0YxzFy0hLduEurbTRVRxBk/Wm7bZCE7DnrV+yQuxFEgr6UyN/5hPNym DJtKWE5CtKJC0YE/I3ggOOrOuaExOCCwmenhNjp2npg0nJlPgeJdgkOObyg4 Jmj4nOvkKDoOjYSVzNngc3WLy5ZzBN6Tf/FQkmEMeAPKtDaRPXcyUjHQ5TcB Vxu0fFn4MmH2QlHMyekh+OMxHvpqdgzmaR/1XhYXo1IzC9OhQQJ+/Tr95/rs OJ4Q/3L4teYAWN75e06C5KPIs5kTEb01qN13bvr2qR4U7Bb9c4vsU4/VF/Uv 7msCGmvJXk5yvw9sD7Z5NUwFxy2u6iLmndg9uGS/P4EG9KYpA8PIVnDuuea5 w6YDVo9On54j+4/754GL9ZIdmLrCrdW+jQbbDX33vU2lYXnHS/kcj1YYO/3r 5u/dVExXcK7WEe3BN9fnr1y5XYuX8wVV7hsTaE4h7L8Z9kFR1cNoiYAJzOAb MtubRkCwr6TEO99y7LwluGDNQu6RkGfHgfl+UGZMDDQbKAWeS5d2tpcRMF5U 7KiyNIjXUp97/iM5yvDcq9cnfpF7mipQFyGQAyWRB494q44hEb0nLvr9CHqd cLDjF07CQukMoyA+Ooa83sW8AKNQnK6uSO+iYOnVTzeTST3xvgwv6qZ4IqNv Tln4l1FAo9mcZHsK2Nx9wMzkno79bu8kD22gw8bQdcxnv4+hwr8MLz/6EDSP tNR3jBE4o2zBWXusEPU+ra8fvzCAG0qGef+jjKNJb8Fr+9QyYB83T9PKI7DX 7K9M47YJEPZSok8H9GPMnx1vtEg/yZk9VH22phrmHo9SOj174PMGLw9mASrs PPfW/k92J5rzX8icZ+sGPbO6XVn8HRi0wWlLTmEzJsklzT5Jq4ON+YZFMn1j +Enh3v79kgQsJZ/kv/S4HQ+dmB285kAH1qurj55qtoNo8KvBkYAukDkfxV5r Q4BB8NucZ+tbMV7xfpwgEvBEvjVImeSt3GIrM72hbohx7YkPj6Khu829ExYX WjH0uZ9Del8Hcg078+rXUvFJCUd4fE0HfJu16szrpGKUb8OvlQWSoyUf8zql NGLGXcmGFwZU2NR59rKkezcUO20/5e9RAzdEqev6bhKQ/CAUcg704bbRnQ8j 305Au9PBeWuyx2ZmFfkb+ZdCqvvGhcbpMTzLo/Zy8/IQXnY5d/Ksdzb+bNon 6LZCIOU2j/YH6VHgrj/U0v6dgiVBC/2vyDw84SDCWbfxI8aGRGbebKLA5z+i BwtPjIJPkny5Q4wH2lwU8Hcjz1044eJYviEFt1sMLwXXjgKH8TrvBi46Jm+f 9yg/nYZJnpKdr04NoZeL7SUn+XFkmb0QYfkzH8LFzn1vIn38goRVwce/4yDq sCYWwDSAedqqYoKk7xt48a2K3q6AMCUDe52hfjgVmr5ejGMC3u3tCLZzqcEB zsKYUGsCtsrOhldWTGDv73sLp0J6AcJ2d0j+oqGG96T8r+dN6Puhe8O4eRca PdViTCRzinGIHrk9qBk4ZY7M/RujIZWy0mm9lQZxwtEZvHs70LbOidA0pQHv zJ5Ghu3tMCbzbYGprQWeLK8efVhDg8XcjJLLl3rQ5vXL1SZxKiQtiOcWkf2m cyXisOKVeki+nv901nQCR1MizVuofTjDzHnoUnEFWtubVR/6SGCJXXd3045+ +PWXcsdZewLtmyKsddsIuNPScFNxsARHsvS23nAfh3zLDcGCPoNw7SHXK5k3 SZD0gmWHLB8dOvez2SU+7sZe3Lh5c3ET2Ba1nnPMaMbn1zb11tZ14TH7VCkP j07ovaUxTAsfw2sjPxXvRNNh0CBzyT61BtPYWXeMTtEgany7rupaL/R/jCn7 ydwEmikdmlvekucekb/C/JeGbv57hGcFWiHn4oHZgJo63Ll+8XIXJ4HFxNJg fB0Bt3LkYyZHitDrcVT0qdoMqD2yoJ9P6rvEn3siYyvZt+yC++ZkH0HraVbj KP4oCLw5cctcjI6PLooqTK8SkPJ41oFzIguYnya7fmBEnP7Z8vVxKwEnxUUH WpwJLFNYNnZIq8a/vGIJudt7cIuM4JsbclS0kN54XceyAT7mxx9i3ErgMVnl gMgOKkQHD2u+Ce7EsJLe5+FkD1VcGl63+2krhEZfsrx/vxM4p5qonT1U4Ev1 Xp7OasfIo7xba0jODbwXaqJ5neRX5avw5nsbvGGhlLe8bELD2xn3updpeEea ctCBqxuMDBh7hO5QcUXcNIvnAgGyH9pqTtyoRXeDie8lf0vBa2XivmIpAeGl drsC5kk/E+g1OdOaC+Pci13tSQnYyX7unbgQHWMYFozCSd1Imkp7M9W4YWwn UV+b2I26B75VFqqmo6P5sTPJW9zASuHtsVILCo77Rrww3zcO8+asKmHmg8j1 63a1fsEkZMcpfPITK4SRiS0LjwYy8L6ejeVhxUkQohopt/LScf2BxsWYf18w 1Oya2dOlYviPLj7P84nAeY/IHe0nJqBz17tMraI+lNlQuEq9RsCfmuOOt5eq od9ZXNg+qAc8K9jUFXmp8MD4Q7VOXSPSbF2fqHIRoM7yLI+1n/Q3l6S3T591 ggxXA6fgLhouKYiH227uQLPu3OMOfa04ciXn9vsPNGzFSdOHuV3AK57D/OoZ Fa89YFO9v5XkGpavEsf0G/DhexGj3mu1UKWi7vfLmOz5h98Xv/9K4ELv6WUR ko+mVuN5LwhlY+ipxv+WVwms8Myq/iRK7un0+NdohWgUKY1oqj7xDJbC/51p JfuY8Sfn5WBROlrRT7haWkbjjm6N19an0iCGbbvQ/32pdMEs/TKV9OlRM32z 4gLoLXBnfW4+AHIF258kD49D6e2VnhPKNTgSZnfE35YAZqlmDp/pCbQx7RY6 ytELToe5+7g5CDSpqaR8i2jEtISY+uztXfiV6Y7uhy9UXOOqNgw71gJ5id+c AjtoeK/thJXjHyo8dNV6tWOwA++Xf9uWTPYotQjrfbt2tsORTPs/t9VbYc/O g++Xc2nwUOLgcoJzD/YyXZjPjc0GN1lutj1lpXh1nvF83MUhnJJXbE3nGYZ3 UomDTWwUDMfIsK1pk/DIx96Sa188lpqee/zsXBZ0LIsayxlPQtrwbK4WJx0d jcu/LLzPA966i0LTmxOwV1PsfRGVwNFhCb/LXHQIMTxf6nkxGiRZOd0ydbJw W3a6y2tmOlRIO81tTiEwqt5DlkYrx8lGL98fx2qhdMVWhp/s2QcCFQwMjaiw cWFh/WbSl45Fu1l3sRKg/Z+RGzY2QmFXV31/dhekD2enrQ+kgkDYuzLfmVaU GxObcn1Lg9vvwj5R/6NhjEPKf/Ij7aD2bGuORzkVTcDAdEd/JzbX9cRHrTSi +fSOgG/MBK5/asXZKtEDrVknPgYqkPl5fUBO0Y6AvVmjNC65Gny75/Qrua4q 8GKLakv0ISBpo//zJTIPO3dymRtIlsK4dsDrghs5WDhMnZn6SeDdy27W14Xo UG3d5JH1KAHdfwe4hNu9QydrcX7rzXTYlszn6r+ejrVblcv4hTOwen7GKEG4 ANYrUg14yPwq6s3anJ1J9tcXHj1JW8thf1TOSfGKPngaLLw6fn2C5Dv5Ogql A19o7D+zy6kXSHPQ1GPrxMjQSkrVlXr8+7qVcvpZJXz9TSSFFY9hZt7FKy/d yZwxKDLL/NKJL2yeVfK0kHwlnf5dmbUV1luI4v6RHnD8fpplgUKD9ouUdRte NmClX93xehk62IaHsHRtIDC2Uef967EGfMQpa3JlrYt83OQHu7SoOOiS4LbL pg3k2cZ8bPRpKCb6+Zz9UzLvzi0iS34r5lwXWS7oo8JVl91q/qadMBDa+sDS qhGONNqZNPARsHYMDY/5E3jdSUws8G0VJJ5zD2ocKsGL6ldEH7cR+KHrpBjj ejoIHpnqF+LPQGWpmdXindHgaP9s8SWpW1WNZ09attAx0aiW8u92CAbdVBZQ eZMOlKht8oIb6FhZLwsqvQR0NnfIqXoXg9rAm54L98uxdd+fdC2Sc9ljFy1u GxD4M4VNqjayFrXU1/c4+fTg/hcSt+h8VHS/HjG0c2M9bBz99UJLlUBu4Yar me+o4O2fGC7g24V/TLQZKdU02H3pTHJRXwto68E9Qq8damZNFE3P0+Bn3e+n jJu7sIPxS+7BTCoUVD9783OAhjdFevK0xprhSZ+A3GMWKv5U351o8rUHXw4x UC5dq0Vl5ZfSihdIXxjR/9cRSgDbnr+DdfaVeD6x1KasJxeEIuyrHswTsDnj 2KWbe3tQ1d+ak+l8JezeKcXoadEHX7J5Koz/UPB4aexWjhOT8EDrwyPx/cWY 3n02jC2xAkY/y37aLjAJj+fX3Z2OJ/DOS37hKeNqYB04IqF7D9Eujk1o4j2p j1tuDxbI+X+k5w29OhOHURpvX/2QckHVA0Swniwdxqa7jnWz0/HEU36RruIM PHjKyGzVuQgSbjybUBgiUKTjy5Z1HwkIVBq4dia3Apy3WF/LbKjF+eup8bf0 CBhMD6zdUkhDKZuywDt7WlGxlOF185sWOOrhSXncSINmnSumdQcJPOSZ/KFI th6EN29VPutZiT/3rgRtCiX35s/R/8Y6CWg9KL1eSLEENXf8TXhflwyBqrKe 9bx0SNZ0etwtQcenlN1uKWzP4OmV18mWSRHAVpXbrSZOx9wnXKFX2Ojgt7Hh /kbPDGhteJs+HNKFgkwYMmhRhpqHJW+dGc4CanVVjLzaGPKVuw5XXJ2EO3I3 l5io1bD/7KfKLONy9GsMVcuopsPtmkSTkjQCc3LWzlhyluPZpwmSNPY6uDN/ IEJRgsDfjXrjIe00NH9tdXP+cQvcY854q/ilFjlGdDm79Qncqb3z73Oyzx96 +voO/7pyfCQ+xXGurwhk//xYVh4gIP3KnVIF0n9nKJNyGs5fIMj1cMcZoQco N+Ls+ECSjkNe+W6Jm0iue1GWWMIYDyMvb739OpaOLR8vWm5kp4MBuzMPXz+B VtE0n3bpYryZ90DZi1YKobcn2IzLCDx4YL2vvjMBccse/g/yqqE5nFa7z7kV uWyO3q1Ko4HSHm+NtEkaxLQaazOpNSOT6dPffReqYfGDGfOcOwGS/9L0Px3v weFHiUdurn8MnPfPXxjrmATJdb8D0CsKzKvOF2Zud4aLb16WfDCfBMW/f3O4 FOnIL1rIVHsoGMw/9NpdZYyFnaeVe+5OEng2ve5WVzcBQ1qtox/tCsFrzmLF +WUFPr/cOb4UT8C7kWPuUWR+PnawLrqT34iyLS/6WgTJfS5uO/qCtxFU3Bv+ bB+owHiHDzkNHwjUoK3InqcQIC0lfZ79XSHO/pcxcSg5F0r3Swtt/UHA89yK g4qCJO/oK1Udz/gE/r8thh7se46FHpWxUeQenTxub04j+8ydZ0irEo+Ekz27 Hp8IKECtjqwIWRoB2WfWtswkE6ie/mdy5gvpM96fVoc0q2F3i4uO3F0C5Xs3 yZ8lecVCnG+i+1IDPL/OH0xx6MLFarPwq286YKkjwPREdzNIvontOT44hvSX hOrlMwRsgE9LTu01mPlT4kr1vXK44L+NX4zMic9fwqRlfxPoPcSitas3B9Zv zjMy2JqIgq6TsbkCdNQSdOT7/+eRtL4UXn3n5gNSM6/iJII+oex1Eec9gmRO +VaqKEwTqFwzFDdvlY/XhQTOGseWgfpayzKN7Md8p49t2nGZgMhDD/hnhGvB Zgc1bvRCI2K4c/IZXgJsYkSV+2n1oLug+3VejtRzkq6sqi+BN5j+MIw1VMH5 PA6WwY0l6NejQVzvIv3sXPWxkTUCnt6sERiqzkJDxQQ7oejH0HLMcuIAybHj S6FHpmf/AU4KG+8e/gd9y+80g6xXwPGO9mNJ+AWHchTTPgrNw+gRJolL/y2C HcrfKdcfAYfDHQtfcR4kBz4eernrOcqv36/k/m8S8E9IzzqiC7/oVkrNV7eB zL0m/R2ibZgLlr+khTrQaOUb22WjNnBiv6KZ3jyGa0k7ad3CdFB+wCYwpNCE awfVfoTEEnBDqbdss1Q3BOznXy0wbwPrCElZxt10eLsimqM43IH/0vWtbn6j QeyB9KFmFxpab3vzOYGvA8rfRvaIV1AxJJgl3vZaJxYY8tqF0ltQL+i+17pg GkouxP9nU9sDR7YsMZq3TSAhp+rs/IgA8Wp19lGVSnS9wiYxSPJ1UFI19xH+ fhArGDm85X0xKL9W03xP+oFjlsOcZe4gNrruDa++OQ6RVyhnzmyk48+NxhyU S2kQpHb7fs9dCm7wnamYjh1FOdYaDVnJELT8V1ZGIXPTl6v/iH8uBe70H5cw Mh9Fpfp8cWUROoj/1LCkWcRAu8WOsRLDUaCJK3a4llFA6K/Ve/ZDX9FSLv0M IxMdLtkpfOIuHEPTkNRwDdthUBhhtFmpIlB/K99/4t6luFD8c9k6sw+NKqM0 jOwmMGKrzvob+6qgPGf1CPdTUg9hcSf2b6PCu1rZ7P8O9eBxy7cLRyXJ/dhU W3D/SQNknUoRuqDfA/eYJuQOSVDhsD0Hd/pYC/6t0FmbqqIBZZht53gpFS/m jfisH+0EvThXtm5FGg6o6xQF/2hHjeEN16oC29DCPaegyoOGiospvQlyHfBy saQyUIb8/q93mOUM6WvSaUJRW5rRc68HPf0uFUJfV0RxrXVB2vY7nD/31MD2 dM7cBpLfV7bsEgoWGcDrgiryRT/HwTuNc/plBnkfEduqrFXL4ekNl7dHBcfx 2/Op3Rl+Q9h4qcTfmikX2dT/y8JFkh9ck6+aBg7B1Kjc7xv847jAKtP+ZyMd 2tJ7aJ7pSZjXMBjivG0MHgWWCrk1jEB4aM/TjS/+QFAiZ6VozSp4Oxz4mftv Cd6YjXie/rQEwiYfqF866cBa2lMjIr0APptil8YjGiGFUY/thN93CNKgTBmu NiCv3ash3QNjcHQhcbxapAdHT4R8fUQJxvb0evvoQ3H4QbDQ3DF5FJOMQqbK Vylwe5/pnnvXhjHXubspqW0SQnguT0t8SoOz3187i/pRoIf2OCtTcRzCnZ7c 0R0Iw0WPU+J7DUme6NILQxcKtrxwTXCwp0CA/fzXXfJ03B7iWrct8CmWKAlc JkRHMaW+niu3mIKfD/SHDCtlwDYOrsXSXgJVzmUv8lqNw6N2BYZ+w0H0f/1x TpvMww2pXsd595VBCrcOw7lT/XAotLrp6+EJCLi+OVCEswZ91C7zBZC5dWmi 9gHbFiqa5S4e0LHtAa+4/amBJTRUOvdH0X1XKwpcvftN900Hejye76rkouFv Pb9Pv5rb4WiclMTvAyS/3gvmSkumwcY4r9c6vq1491c+g/EgFXKdeeq5bnaC evq+5uX7zaD34uRl5gkarAYpJI0Nd6PKWSoXB1Bhx38xHSsktwWH5ui1XqgF 338Pcq+yT2D43ozM2LF+9ApDg2iLUmx9tFJ+robAoAj+6yNsQ3CZP6Buu/Y4 Fh/cnj/wh4Als5iNeC8Ll3JuXHrXNAbrxLs+ax8ZBpHBK3uUN6XDp72K4Uc5 6MAy1/Dln8AofpdV1fy4RoGuJUa362ROLdYcoFx5EwTtXfQHJvWjGNXpps9i QMG49a+Z9h1+Bjyi1ZXt5HVQoq0120GBK/luyaIao5hlsTPGnZsOifHmR+Na U+Epqza/2q8hOHqnX+7M5BjMZEnLKKwrQ8Mj84NspQRkCl8b3Ss7gY61DFLt L/pB75QLT4AbgS0VtW95nKpx36B5bnVjD9pW7yw+/mcCWb4pRLOk1EHx/sNj 2hoEPlVIONOiQwVuYWcn35xujJ/b75s2TIOt6lrZ7OXNkJ5W6+dl0AHfr4kx PhOjAclYqbda/4LvIT8xvto/YP3luefw2V/AyJI4a1r1EzKp7A8y7n+DSgZ5 emXqArx6326wK6EbnPKztpT2zkG7fULl6jziLcFQhT4DGnAGKc6NGPWg1O6D U5cqSuGNfYyMun8VOvKv7NilOIBXdU5sG9o1APXCkqHayRTsdD/3Ysx1Eopt mFJvHsvBHyWuey2YqODGd0hvJ3UY+q+7JjOKlcJ3Pzv4t28S6kRe+zkTA3jm Y9DFG34TEDY8co6vk0D7dj8z43flkGLS89ruzDhe9t6qwO09iE16vzamD+Si X0rRwwYkkDVHXrR/dQRyPjNTrccpqMdwlesx6RejMnLBtaX+6HV6MUJPhALq etzuxiwUaM1Gm5yWKBzv6KDmkrnv17WnqWvbGN4V5T6r0z8CVQtj8x9mCTx/ +Z1V7el8PH5MTels8wA+kvHY8z5/HBNZrteMspRDP8+13g1ZBL5fVR2WfjcB RlSzjsMSfai48u7fKumD6/WqJHZsq4Fdj/eqbfDtBV12L+PR2gmyJ9CpWw42 4m1V9UtVZL+jiRffOOtHxZVHVbYe9V2gnXbxtdY1Gr6/7+MSuNSGa/FbgwaO tSGH7P3UDD8ajjKsc/2l1QkxeT6TH6hUjBRVEeVYR0C/UTqv8FQj6vzw/Op3 mQpK+fK3f9h2Q8Zr9YD9yw1ASYjeWbGJAHeVhzeuPelFm/cyrC9qJoBtaJ1G F7mPPiVfMzhsq2GL3671Y5RxFBUrMtxvPIDnv3wReELuMwwlGn8n513l0Mr0 hX0Q7GoNvc/GjqPExq97bi8SwHCo7cO+zbnI0JyrdThxDD7YGwoXvBuGuQZV L+uD7+B9B7++L9nvfZJmvgoqUDB+bFGK68co+BRbux0ndRa+TufeyMFgbM6S 1N0cPoK2WZdkGA+P4Q5TT2rraAq4Kro/vs9Dx/sHn3W9dBwDad+jH7ZJjOCs ckLWy1kC7PfoPlJ/mQeyH/WPsvkMwg6lmM6r7uPg7na8xlB0DUTs9z5Yov+G xg2OpxeCFiAu95R+XNcibKt4K+Tz3wRkXf+1YOz7A/SrRmzm0/Phe6Br4ZHf M+CZ3q6qmt2O449qh+ysB8D7aFqEJlcXxi4xL9bXV+LVFW6lsxZFMDCn/kHM Ywzl7zuMtrwg89p+EztNqwe55AY4zilNgk1H6t9Ek3pQPWjyVzu7H9zXb8IT MjTQ6VlcfNZRhaOSp6yeBtHByd3G3vX8BJqenslich2AbWy1mVPuBJ5a9Fr3 rLIKh/s2G+uF9mL1mV2OeoETKMTeE2Zd0giBz0vPx/bTcFUhVUZ5jgrnPUtt X8Z2oLpl/J2L9jR4N+fk/yyhDbJMpUIuKrfBZNlD5hvPafBQqyAw+H4ncljO hrQPUUG3aNdC6hYCDaZnWfd1N8Dt9HFpnxcTWHrw4+yrU324vnt6z/LhKrSe EvpTG0Bed9JP6Uv5ABhn5cX0F47jQCktW6OfgGMpa1PBS0UYsftbl7PHOJQY Pp8t8hyEAsKndJd2Nsg3Go7+WSHgzscB7dKSYexLdlucfjsGC+4Ouy3E6Ogf NUipZI2CVyd6KgWaRrFaWVdCTY+CWaeUTNKPhkBTClc4M7k3Ls+vs6+DMVBa 1/rkdsgINvkl3pxipQPNinX0cXwGsMpETvDxjUDmTtU67jtj0P+8sJ7imoeC vHfOLpF7Y9tGt3U/MY7toQzLuxiHwOTNqvu/LwT+x0S8NLpcjkw7ROUq+frx sIHA2uczExhyXPzZvUuVkL2Bd1fpawLPSalODfZMgOsOfU3Nc734zd3Jz+4g AaXnTd92ytdDCvuno680ukBC+YLjWiIV1G5wKaw72I47Fy/k2RjTIP7noSn+ CzS0ezen+G5/O9xXzxrsLaPixtuXsy0HO3FIf3vePalmZD7oFs45Q8Mf7NMu 20O7IOyA3FJLKBVl2E7fi9hLwFR14LfHb+vxXehMQO/MBDDnenhrs/aC5r/G xIt3ysE7XqKvKI3kYb5q66OWvyHVabtoy51lcDH5pbn7eCbm+u404ztIh/eG pp4S7d3I3Plw4J1KPSycPPyW27IRL+2d9d9s3IPmHxk8Pxt2A//HdeB0cwyT dNcF3CHoIOf1dH7XuUrkzEhdCHKkQeKx73NhCf3w99Pwta1+dfCDZnfyeBMd pkZadC//68FHmpsSzrVT4e+5m4OPtQhcO//WUe9hIzwR+lT7NHoCg2gs4fZB vajExbvXhaMawzeKxt45SWBBofixMNJ/RK9VbGe6M44cCS+9j9IJCBsiHniP ZuPCsW1NuxvHoDj5fobuwWG4tSUlfPfZeNhD02yoJHtpjmKLicLFUTR6RJTM V1FA/+zjv8tSdDzhXL19g0ko2shHe5T4j+AW6dHVg8fG0CpO8xaHwxfoJxg3 7OGk42XBpdoQ9XHw2qmdHyIwhOECN6LdRgjYzl7MYTJaCN9s92jI4yC0PzxX WGI+Dv5Zt4LjmCqQ7cDhsIJPBKQVHKUkq01g0sq1EJ6j/aCwu+PeTmUCRZ1P CgderEeT7q++/m+6UOJE/Mo18nzfBCSq6HC0AOUuY+PnXhq6bJW0sd9LAy2N L7tMvrdjqVOQTulFGsz92eHiqNAOWufUJjaWt0Nzb0cEkyoNbK9r7/5p0Ik6 z6WulVCo8KR01NG0mIZnai8YyEm3whnbu0f5ZKjo9bt5+phGDypymDFb7qlH b3plA+9BAvfq2cw9KOqBj1eUSkcZqTj1ycOt8jkBLL7P3QrnKvHinZptv3dP gItprvlzp364y7g12MGrAIo7Mx6eJ/u+BxvTw/yRYZwXGb0i+WwMIvRn65g5 6LhUsiPKTi4dNOfevFLyo2ChdX5jVSjJ17TvuQUqwbjeZ5vOEVLfZhYgt/nr KOQkfFXWuEnBOxZhOVu30CHu8sw2SsAb4BaieF8/PQpTJcrHH9dTYPRrxwGZ gTW4bnToeVD7Cgio/VBkalgEcUnJ/CfKS0B/o/dM7UkrLsUKTcsyjkKQgGXA 0NluPH+SX+u9ai62oPDFPSrRoBbZMLBUQsHHWk0sIePjoHmnOvfPxgHcc/P9 7aSoSbhpWmL2kq8M2tlnP3mvH4FVcSn54aoJ2NbtNCeymIegxcukyzMJSoPp 1ZW/x1DDrqdH8+QITF8/+7FngcBvbkvv7V7lYr3tQz1N/0EsvVdmMXt4HHd8 MnkoXlMOPJtTUpW8SL55/eTTLTKnC9ZWfNdL9KKw/hVMlyf7r85lQUbzeoi5 +otn32gX5Isa8bQ+pEI79UP0gFArXuhwMOUi+19CWP6tcTUaGpxSEo+sbgc+ jbvfD1dRMTCUed3d3k7UbfPhYDBpRr9Dv8TnCRq2GzRdSbjZA3m/1f+ZC1PR lL9a28mcgLtpF5qqBmtwHZGixV85Abz/3b2WEtQLklxXJ9Z/qYSsyOQtG4MJ MBfiun90rh+1+O6pd7CQXGQXqvRvkEA+idNGOx8VwfEjRca6j8dwJ3/zXcnZ YWTt6uWWE0xB70zxkCBeOja0qKls9hgFu7J7FNVoChacmhD+/+eE8H7tdpEf voPjN/J+C6pT4IicYfSn4VFwd31qt70rCPvG7MZOkzy3JeyHR0olBTd6OfdW nB+FQ9+6Xr/YQMdLI6Y34Wo6mphcMQz4PYTDR+OLUulj+HfPqZ975HLA0c8t ZmGZwIcWt2QKnMZB+U19d8KrQby/6zv3kzIC2GttX/hRSyEuTlWav6IPXAZ0 rRisJ8AmaGugG6UeH2mwdJiT5zKXsmd44AIVZQ8d2t57rxuGbKYMXEi96dt8 PJop1YopvK5/Dfw6cDT8zoQ9Lw07qwdt5nXa4G4VvajgCQ2Ff7qefHCZBivm W+clxdqR92JwBSsjDYpGwj7IN3ZAzEqcyGphIzB/EWPKXE/O2/qp40f5ZTis oRZnKPcTEv214s879qCVtMnqF8ZUaNsUJdXgUIhqWiNTuwOH0Y5BW8q+eAQO jMY7GrwZReN9YzrdFWR/PXTkPt0qEA+WdISGXh6H0M27mQtsKOC4dk1F7VQS XPq+JcfLYhJubVJ+6vN8BD+eTmcw4BmHT3SexIekfyqLIC2JKQP28BY7rq8n dcNZYGHGN4ofIuxYV5qeYtatEX2z7wSOvGidZid1WvplkznHllHkFVELav1H AHFz8ODi7S+QIug49Okm2RPsFuouF47BcOvEEZGrhTjOLannRhAgpZK8XhfH sS1F5491wwBkc9pPppD8OtrbGhcdUY2d6T5VES09+PmS9fhjsk9ldbUw9/xu gMG5y1lXNhHY9/FaWn0xFaqrRBg/THWiavnU1USkQaGDVuTqxlaIydXsm1vr ALX7a7HJS1RI9OFwrQltR3Wthho/LRqoBL3ftBhEw13cDClaAm0wGi/2RMOQ iiWhdypynnWj2MCRdQuv6/CqLnf+d00CzQTP+HLU98JmcxOhmK8TePtj+0bB SAJkI3gk5VIr0NuUQ7FPYQJ6g64VOLn0Q9iF2NsCYuVwz1eFV4zs9WvRYGTq OYiX2BcLpO6Ow4jCjL4B2U+ChOLW2UTngeGDukVr+zF0Ota1+G/bCLZveKDf V5uGZozf7Fm46NgpYr9Jg3kUThfUFN7jJPO697HjQ1InKtayeizeQSi/OZFx cGoUDG0sjBT+o0A636P8fePJqP5bPfM9Lx2inMW1BEvH8M3jUxFRZsOgJVLC OfKNQMm9ulsnC/PwXZzm/rvdAxjnuuGVU/Y4vuE78HfDk1KYL7089bKK7K9W sTWvf4+D4lp8oy7pn6Jb527gQwKyymaOf4isArVQ6Qv2PL0QQxH6dmRqAnzC W/uuPuxESlfQZr7YbmgZ1GF01e9Am297lQ98akJ+6X1HmK7Vgrje/amAzjHc zX+COrtMgx1PUtSIjR0Y7cfEmeBPhyJLC0Xx7DZQ9zi8x0uyG3RHfQ/6nCDA rf1i5rUfzXiOcvpxbR8Bm+5FnQn0pOLoFX3Wc5Y9oLMuc0dSEQ2Ti2w+6N1v wRNHFcNeWnaiXXSB6tNEKl4qWd/LvbcDfjrFjdKXqCh8/lKI8AANrPU8+cdH mpBXdeqSkBsVapzOeu7/0QXFyyXEr+xaWP8j4KS1EQHMK01/pLJ78Y+oicOG UvLcK0zGSwoItNG4pZ7UVAZXucuYqzeTc1ypTNF2G0LPqMWWmJ5c3HCz1Dd8 nuxpH9l+360fASL1lMNZsreKDToGiwnTgdE863RoWyyWnqlfrfxHgbZe3mt/ eEehtDRPXuTgLahO1TH9//sgZvw7zb0lKSipG8ZN+UvmH+efgkx+Ov7uXn1o v/MzPnt+Kci3YQh7xZisx1fG8ELLWsOHyFzgzpd4dv8HgffZqcNmreMQd3jW NjRgAA/Unv7LmEFAa9Xzw1e1y4F/S/cDlYsD8EgsrYCdMg4hV/UVQ1Wq0dcB HdruErAkkbOAHyZQQrDKwFCwDx5ZTQ/W8BJIDwrUO2nQiHmhU/YiU11osd3y qdp9Ku46flOD43YT5B7b6GuxQsNcjdQPzkw0aI77LGVf3YEy+zZd8HKjwSLz A5m779ogeuLel3WPWsEkxiaoJpkGtMNt9izN3Vjgr3I2VJMKTNxX/ouUJPDY Vq+2/7//ViDaws7DbwIX5a3Sx0zIfpP6OzSWXonFxjAs+oLAN7ttfysn9cHd y7xieGsCmzg6PKorCGB9cbluz5dSDDh0yoIWNw4zYvILcyyD8GVmsp9z5Au4 dlBP5XPQYUS3cue6G90Y5yMvIUtvBgNFcK+3b8EUg45bOhpdaHoybiSxrwM6 Y87YySWO4Qup7BFJcn+VrhRclKmvxejSxR1lGwnQsVhd+2fbC/zpG1w65Jrh cTuXZuwjOjSxvV7nP0FDLe7Ql7e/tELTN6OcReYG7I2PXVb4SUP5NkX7yGIC tAq8LtOVEBNNEx3ttmfBUYbhxF3MdGBW6W+Ukaajro9wJeuBUJizDbpYS3sN ZYH9Cppb6GjZml0RRl6nXSqSoP4iE4aFFff6JxbhQ0brAO1BAia/aTHoPiHw UCQ/p7FzFX56c736a3IPzm9Jq6tnpeLyQFxH6Y56OMUsti2H5MnfJ2eMYjKp YLWtxu+GWBfO652XHqggOaXsyPdzKy1w9clC+B6+LoiQlc9qz6JC51iFbOWO dmxctwuLTWgwG2/mv/c4Df9VHjRu9muHS+v+7ahMbUZJNd2nF0dpuPDk1PkS zy44W84gPBNORcYn648aahFgEkvER72sQ2R5oeJzpBy6Duzms/z/3rrm64zT CLx+j5n1vUkB6A9H7Oq+kIz7xO5GqG+kY69P1ZnnpF96C3gbJo2+wAti30d5 KrpR0ntxVL8mGX1OuylJs9qjqTZr/g+g4IxOFmPLzzGwWZsOkGkcRO5md5Mf pZPgY8KcZ12WByYV+3olfqXhh/fdl+wOToLak77dFsJ0tHoTsf3d9yS86/wl 4fbNQmA5TndW+Erm2ueRinbxCaiyn/9brtmPLPXfLiq4EeDnz/WfdGsVoG9n se2WXhiQG6gqJSZA/VOz6cP4BuQsCony2UrAlcpMp+s5VEx3cUhMkeyCbQ7D +0t1aJiS763P7N+O5YOqkmvX2zDL9pZ3mS8NnZvkut1kusClPZCHLZ2KS7PN jRe4CFjc0OSR7N6ISxazOSlRdfBEJoKnX4OA7OdLv2JiCRSnbHrib1ABs5oc zSK3cjFVS79Sk+RcbqP41WohOqQFxKff+xGPJ/fKWZ5qDIO02PF9PZvpkHjU sTJvMx0ZejrWwYO3uHgv6MyT8M9gsSV/2xHSlwIt9J+6fCd7a3jTyWMWeaD0 cMyORgzAterqdVZfxkFjOX2d6GoV/phVYHnsTYCA0O4j9lUTOM/0t5P6vBda 147c65cmUFCCsrrFqgH7dp4VH07vwjNZkrujnlPRoqzqCv/OZnAeEo5wmKah 5aIJ5fYAFeZKh4pEHDtROoW9te0ODcI8455yf2iDc8LS+cUjrTCs7qbeH06D oA4l3rNOPXjAd3ZdNkse2CqNVCkVl2EZrfS+yPdBxOD7B0buDYHs7VJWUTkK Op7RV6PFTcKPH+g0MPYZT1dIG/Fn5sCcl+/KN71J0MoOnhVlpqNM5khXoXQh jDpwmcdBMnb02wwbjRL4aJV10wYyl7cZm5pm67yDkJjbF/2nMjA+RJdXiPSb u3U+DQ8LCbwo0M0EiWUY3CGSnM1WA69+2PDsu0VggEkQzw4lKkwolIjt4+xB /ZkrNu3iBKgbNos5pTbAVpmMkG/a3WDi9/I19TrJSf3NbCWXW5Hz1eS39Ewa lGaJNu4WoKH9p8lh1zsd8IMuufB7goqnv9lvqj7eiX9GrE6yiTbjXOe8Q8cM DYfcVyUiX3ZDWLFA40kDKsbsygizuEjAr2PSbUf1a/EQS7iJ4cYa8NnJpVNq T0BZ39ThVPL1WwvPD++wKoPva/GfAfPQde3PaCHJHXsnqGc8N9JBcibKZcux ZOTV6D6cGfYC3dizNQJJnU6NFeUf5aGj+yNzZopAKj6oCAqyrcoFhUGQKCfz c7fdc64npaSfSvrC2K9SOLevxnFMrx9O6Q3ekDg4AXde728dTOzA3lSOO5wb +sCAuiThCZ1oUOzj3a5Vh88ubx3j0aoAbrOdJ+mZY6gyorln7hQN0t+57hxX 7sLzfam6RRN0aJ9RWU+faoZO1kkhw9u9kPSR7dhoMQ1qTDZXRdnWY0H8RWHB w3ToSpz7O0Lu53G7Q/9ykuvx8OEboYsPurFlg1MyuxQVx2LbbNWbW+GAwHeh AEcaGnO+1gy0p8GPmzOXZ861oYaw394fv6igUW1qfL29A750WX1m/9AE/IN5 VvIrNGiPlgk+6Urg1p9zDCf6q0HZ8xqDx7tSNCq0YftXSWDVOq6vxQx0eNfk cPGM61ccya+WmIAEiB262nuN1O2krIW5niQdgxoifX+feoDmzzaOFbqngKbI owkxsq9tPzi0ZD9OQIVU03SkVCE8tPEMGoMyfPvn9QU9MneGL6mEjtsQuLmU YnfWogYPC0urcrP24gVqnbD4twkUCJtT65qtBcsTp9i2niMw5rNkcZcLFVJp FhbFfN3okySlGTJCg5NcZtdc85vhtkD9XZWpduB5dVLvvhINtB9z91U+7UTm p1zvlbqoEHnac1WvgoaOnlKLmxha4ZVGvbeuPBWj5tlXGWR6sNAq6Zjg8zqM GvLlttAiMM4ybSM/yaNfysTrQpKrMH4uYdsl9wJwm/g97UojQJ7/t/FHqR6c FjnA9MOnCvQfhn+UrumF9qV2jUVBkqdPpBuXKE8CQ+v1Vz6+iNbl4iFLXZUQ oFU5UcY2CYpnFWI8QgnkSXGOxNc1wLpBRW6cqQyjxLMGSp8TyKHz8aQ6Cx3k 1+3hiWD4jOa+Sw3CDLfBvVsz/rQsHf4rdi2sI+c8lrclXPlWGuY+Upn7N5kP dWOlz4vpBPLvM9pHTyHARi+luCGoHCqNlz6pxtfgzoiJ5QdWBCQVNK8Wd9Gw rjvqygmFFuz/1SQaZ9UKUNflaZtBg+6ZsIC/5P51e7cxJlk0wHFePk3e6Co8 sZPVL+Uh+br5jlF8awlQK8/YXaJVirtOiRjut02HxKs6Z2w30OG9dN2RXtK/ Re5R9N3Kw6DEaWrpzclQiGm8y5BM8oPovxN5dVykHkxbjTaqpoF2/qHvf4u6 MGZTqGzk4VLUN17UcbDMhLi7m3nebx/DuvDsGxucJmFq6NnkoaIqCPUeL6qT L0O5qsyB1W46fJ15oBlTQvrD6kHvw02l+LfHlOdqQw18tdHJndlHYGXo1jWx XBpuLfeP6DdrhVRmx892HXXomut1nkOdwBs9/SF1cQS4c3zybNtbgQ8SVJy0 LyNMfEi+cL+ZgGL7pNEZFjoW/U3xdjiZCclW6aN0j1conbfh3U4JOn5cpqlf FKMDb6euY8nhKAhSt79gkJ2CfspLN+N56FCx9+y6OSqBTeamtwTeFmB9mGp5 pCfC75U0H75mAlPKvS2aHhEgfPNcAPGyCn6+GVyhZrVgFNWsnKj7///70fX7 3EKDNQe5pBe3W3BadmX2eEwNfH8F74rI8wSTpA/G+j1oOkPxDWUIhfsDrelx 7ZOg0B4RzOYfBm15NhyGGYHAkGzOF351EuZLtIsO76Fjl6xdyKHr78FBI0SE WvgebtN23R+YIbCZupc+OEqA+NRx4xOb8oFHPPijrlU5Vqkldk5nEUDTtHqg s5XAPbs9clkfNmCPW0KC3h8aHtO8x6t/qgkuhJlr7meqwsdNzeptgQRuUa2Q mesioHd+lfnWUjEa/egTWtpTABe9t0TEkf29mtU27h3pz6Kqv/e4taVA7fSK OD/jW7ypyXiqkNyjysJxWZ8tdEh6+qzX5O1r8BjvinBkzcO49NRQnCPv36F2 TZ3MB3+fLtc6+zIUsk2dtpGogubhgyZszwh8vr5A/5oKAT74uWtWpR4eRV7a PqXZhT3mjJo++zoh4CS3xPlAsk+c9eVrGBpDw7cZjM/J6/ttrK4kb6hDP/3g TpGSCtBhz4sYiSb135TP0k/27a0veVZlbPIhbehTuddACoouXJcOIO/Dqtwr S43sVT7Xl51LfQzxMp7erHA3Br9ESr2JEKHDn4Ll+rtLBFbbBg2Xdecg0dC9 /b+7pbDvhoCUWjWBz+ZLIisdCCjRrj3/eK4aXjInVj+QasAn7lpDn7cT8MPM McBiayNkwaaxmwIErN7QpGQ7ELiUcui2wI9qWMkqW95woBQTbnq8ZK4j0EBH 4lLIAgFppvaDA2dysf6WRMPjG6/hcWxZphM5V73sNp2ct+1gNpRbdaFkDH01 7m3qiyHAW/n+x+CpMryf7Eg9MJ4HnwV/1cM8AUXZQZV9YnS8W8+R8u9IHJj/ vLCgr2wEx856WpSRuXCa56CeCskjEzJPh0+VJYNZE8vXrQu56GVXdIWB/Hsu afmdKokEqvSt7LRcKcf6q1SD53mVsOncjOvnILIPf9O3NCN1wa+0RfypLcIu /vuNDRcy8dztLetaSR2e/Nj2I1aUDk47hlQ/749Gv28qbzf96Ma15SesrOYx aMxmGqTZMAk8pisVFzmyIPTSE5uHrvG429dlk5jOJHxwHyw3k6Hj+pa38pca otDXUPd1km4ONKuoTsrUEljiE97m7EOguffAm5TeKrD/obbaIVqEcv58XptH CHR92+ukxEkHlw/1z509vmCwyNezRzgTQPd8GsMXMh8jd0pwIzkHyTKK3rVM B6xjCrjIrBwF9ieMXMzIuemqLr7rIvNV806Ekn7CV9gjLcI77FuB026KsWbk fp3ktmq9a92Dp2qzwjWqi+D4H53P1i8noTb2aeNyRAZin+JmF9dC8P5CPCnT moRCpuHIzyQH3daZEH0tVArMEZ+zH2MmslvZyWm1EzhZwOUWyUeHEyrRu+o7 PGDLFht2e4MkJFS53x/fRIdLfSE75XoItJ9LDdXVK8FgmkTmdv9KoBsJth8N IVBW9uXB/7+vVd2HL8N6sgKurbPosLAuxjBqonp8L4HKRVLaXWRe/aX8yzlj kYnqGgoD44POsM1d6NAnUgev+c31bovQcXD/U5uP/TFYovYz31T8K+xDa30n JjomJd9ssewj4AFLTWa1RjGoV31IVM0rBdcE+WmGd2NYe5i6N3mmHL8nxO5R /kzgA6ssugXJ/6w+MZVGB/JQxjm83fu/dIi1lxHvIfMnlxJ+ZwM5f+E/s1ox k08gsDH3vBp3LBzVuHLYmnwdgQwXmDiXCbhW9IpN/1oONHKr5TneK0bnwmVf 9V4CXm67UWV3iYCzF89q75OpxZfpRh/DshHW/whaT2skoGMyVmbzn25M/lak mDxUA1cLxf2nXvbAa+a2JUbNMaTNDZrN76mBkv1BO0/N0CHlO9PuRf8KBI+E J0Dy9kgI57jQLwIKu9kDyvdmoMXtylzhoDDIONlcZidNB/bPHMM+5J78YSxu dTwXh0eaWxZi27Ng39vf/0WtEdigxpCyVkPAHc8r5rlHS0Fv973dq2Tec2a4 nNz7oRxL8odHc12zof/flc9eKwSckDgm/E6Ijk82fzdj25IAkuY5z8uCLoBH SE1aNTknlViVkg5yDxLsE1Lel8VBuptO5tm5JHBXGVuS+klBi2ClmLKnk/Bi VpPhg00FfKnsXfP+XIxazfWK04t0+Kz1PUl3gPR5agux710RClTyW7qRefbL QL79j38Veu4YTHNRLAfucanKcbJfn7s2HyBD9sB+sCu8dSMXOmeHfnsmxeCW s22aWeT5FCr5uI2R3C79IWmFrfIpDGYcK3sbHIOdVpz+70n/DOc5umy7QqDi AbMU0fvZWFq+uuDYVQBNQvkfOyYI3B/b62p2rQd/sNVpv7ofC2cKeFZONk2C nEvmm3Mfb8MD24azfYVRcNJvZ0K/5SRweXZJu+2i4+zFePbwoU9Ar8xh/5Ps BYbMl26fmyOQXT96Xv4HAUf2DMlP3MiC2S8HX81ylOKX9Ort3K0EaM3Q7l0p IuD33ontZwzLsFmqraF9P0L8DftCzxYCRCVXh2QZ6Xid48zuridfofLMkqvu 9Xg8UfX5m9ImOpo7vagdI3US9Uyf7cdNK+i8vTyQ/icTpQamBeuZ6PDtXe2F 7G4CJXcfbLJrLsYQjQl+A9KKnU39Z1UGx1CN9aQm++FqqOm8xKZG9t0Z8zuJ K+T17YNPtz96VAJvIjdbb5f5ip6a1GAbUm8Rb8PGBEnfb019ce3A/VC8REkv 5n8bhEI1RgVHybkzCP7wqmelYz7bcSXT3AxMTVYRlz9dBJOP3fcoDRN45cnI 8pngctT4r6HcLpVATfdqr4YhAka1HTRiLhTh3U0FRxZPxYNKNbLbkHsVFxjT Vi3cBQPPAr/uCRzDsuSSExWdBGxhCVusfVaAUjFKp+da0yAoYGn/BbLHVei0 lu0m/ZmhdVxF2W8jOu4QOCq9Lx7cJeb8r5Pz+m0+WmFE5lnFnoMXuQ/mwgEW X3exVQL7Ah65fdPKhvGmU+WLq2QuXHfYxitKR2v7na9zyfkyeBaz37KxAxc1 rtWizElQ7pGmTrsUQ5rQdY6Nh7LQZPOCxPZtk6ByWu3WvvV0fNhZd4zBLxP1 L6XGx0Ip1HryKAy+I/CHT9m5muJMbD28dw7JXv5XR/pw2GY6aO8+1bKv9S36 vDVW+jtsC23D0aM55POunHQ20Sf190G1xXnwUQI6/s7OfXkvA3IPdZbYs9Fx oPp6/IV+Av4TUde3Fy4GVddj37RdepDamXc1Q+MrzFjA1JWcSRhP+edw2TcK Z0vqfYJnMqDoxpFbD0wn4Y/3L00rATpu+rSycEwgB8b8HXt3rkbhBv7emA1T BGZVTvBVsdNhrCJU6z5XApjzsG/hT8xBzfDtp2RXCVCOO8O2i/T/twrzAs9y i+Eh7+iIKX8W5gcefLD3H4HzrZYsFmTenmQsm7OriEaNlzx6EtXkV52ztkrk z1+OLhH5DHS8NilYMR/3FX/1ph6i3iwCFz/7XNchUucPpVqPd1SB6l6buvLq MZzjuDjp7kfm6fE9qlLk769yZO8/z00HSnf2MxvzVNwhaDUVK/sWgqmHkxPI ufr90gv9T5yOdj9KQiUxAvnDO345fM+EzUcyLbeS8x8SS5v+uz8bZntrWqzJ +3Gt+L43CHqwY1l7X7F0BdQrb9Xw9yiHikBO3c8Sk2BskqhhvVCEyhYRp3+Q HCJTZ5dVQOa5rg6L9419kRhloUWPlHqOrh8Epq1k6LBntmu+ndRvRLSaeIVm Fv68xVCdulYC0x5H3z5tJXD9+/1nDElejlvYFv6gqxAvEGd3BBeSPmty9qUw yQNU4RKBEtJn0/UMWGtlbsJsZNqC/6NY0DS2IejCdHx0lCWDjeQBn9FTZt96 vkIrYX+Lx6AAjo9HMoyQfTNK5dyIER8dd2c10JV1k8AnV/W32poK/Hz7aOd3 8nEv9hjaruOnQ6MnXXq66jM0xm5r+HPjK6bt/CBjz/j/zzWzCZVoIvnwfLYY pCDKaF41ljvUg7yiwea8sbqg26qyW7pzErw46CyJ++Mhj69H7hSPM5pYSFek XJ4EkSMWXu1kX/ioNdQjdcQLSqkdR9a2JgK3+9XVf6TfNpernppoIOBVpJnA 99JiuHN1bbpymoDymegNQar5+MQ28n8B3QAi/5t0JbU/sIDaWpL75z87mZo+ rxnov/DFSykEkKI/6KnwI4jHdL+z5oTPmyDov9328nRcGOg/yesmiP1PpD+s QAsa9Qq9v3Q75Sx+2uc/3DSgBgoQ0D9q5KxVPNniv/KdgttWAui/n9lyKSVH tD+i8y7iPmqjv3KYDur5GOi/WJu30Zce6D/QlebXUs+RP84/JOYEpay/v6Vn vK4P6D+vxP20x9/nv8yDXB348bu/9mlFBnO0u7/1hX3M2eDnv0L+uJUaBeg/ 2RuzOPI+sr9AzuMtuIcrP5JdV/DTIOg/yuLHlQ== "], {{}, {}, {Hue[0.67, 0.6, 0.6], Thickness[0.005], LineBox[CompressedData[" 1:eJwl2gXYVOXaxfEX6e7u7u5uEBGRDukuARER6RTpTpGSEJVu6bIAERu7u1Ep ke93n++6zj7PvdZ/rTnzzuzZ+9l6CvYZ0XZ4ooSEhAYpEhJibZE0ISFp4oSE OcTLdD/HC7yBvJ95JRyVeeN41XhH6et07WRWesI9CQnL6Y/xVXReuouMJeE+ XjLeXPoVOq3Oa/QDYH/6RXwQ/Qte0jEEL5bE/z5eBR+PV8ePYTfoOvgNeiK+ gv4EX03no7vKGBNa8pIb5tGv0gMcO3iDeb/ySjmq8ibwavCO0zfplY5PeWt4 +b3eQ3xvJeF+XgrefPo1eqBjJ28I7zdeaUc13kReTd4J+ha9yvEZ72leAa/X jU8mtPJfKXkL6NfpdP6m1+nWMoPoXfhQ+ne8jKM6bxKvFu8kfZuuq3OTnqSz mv4cX0sXpPMnT0j4yBvvLrtSrp35A/4Efo34PuQfsKaSXyhzjjFF5gI/vfkC /5TsgzoNrP9iuZwrg/HdesPwrfw/4ju2nsCT4WXpofrF6Q/5L+oPthbVKYPX 0J9srq2/mn9K/gv5Z+T/xeqZb2GT9TrgGeO74H9hfYZfiF+A/7F8D91V8u3N V/nshNZyqeUWYeexqdhFfgbzRX4buSH0HrmH6T/jfFE8KVfOPEyuhHmHXE25 KXJ15E5jX2LrsDv8+ubb/Dd0p8h2tGaK7xn70roOO8grjBW0fqKX2d/f0+us 1u1Af8//EJ9orRnnIe4/CQ+a08S5xl8cv0f5afLX6Et4RvpSvCe6rX5D6x18 KLZXdzh2Lc7b+Hz55c0P65Q075SvJTdVrq7cGewrbD32X1wPzP/yp8qtpb+S W08XoQt5vU/leumsketo/oifUq6NXFq5JfEbx6Zjb/Azmd/gt5NrpP8ffxh/ n/wI/jbeX/GbsJ7GkvsAKtDD9UrF6/N3xXdmLaZTFq+tP81cT38N/6z81/Ib 4hyi7+IN6Tv4ZXqafidr5jiHsK+tG7Ci/ML8z/R6e42ndTqZP+ankmsrl05u aVxDsBnYZX5m82V+e7mH6f1yI+m/5So6RuClZXfjdfDpeH38XFxoHY3w/+jp +DrWN/hGuhhdxPv5XLeP3Fq5zuZP+Knl2smll1sW1yBsJvYmP4v5zfgudTvI No7PAMvtsxqOH9B7BH+O/49uMusZPAVeiR6pXyb+bv4e/aHW4jrl8Lr6M8wN 9J/mn5f/Rn5j/A7oRHRj+i7+Jj1Dv7M1S5w3ut9aN2HF+UX5X+j11XlGp4v5 U34aufZyGeSWY1forPgVuiM+gj6Ij6Kvx33I8QheVn8vXg+fiTfEX47rkaNJ XODwmfgG43f4s3gJuh++Du+Kf0anxTvgGfEVcT3GnsTe4mczv8XvJNckLjDx XVsOWR/lb+fd0Eke56FOSp9ZFXqUXrn47vj7dIdZS+iUx+vrP2lupL+W/4r8 t/Kb4jdIJ6ab0onoK/STcS+1Zo3zRPd762bdkvxi/C/l+uus13nI/Dk/nVxH uUxyK7G36ez423Rn/BH6MD6avhn3QsejeHn9/XHNx2fhjfFX41riaIbfg8/C N+E/4FvwUnRx7+MrbIDcBrlu5i/46eU6yWWWW4VdwGZh7/BzmN/hn9XtIts0 zifZPD6jUfgR82P48/xbuims53RT4dXo0foV4hziH4jforWkTgW8of5T5ib6 z/Bfk/9O/ln5u3RSujmdmH4q9g28bHGO6P1o3apXml+C/7XMQPmN8t3NX/Iz yHWWyxL3MexdOif+Lt0Vf5R+CR9D3477t+MxvKL+wbgW4rPxpvjr2PfY5riH mu81JzHPltss95PcNrkydEnv5xtskNwmuR7mr/iT+LXiHJbvYs0aewveGrmL ck/J/UW/h+ei34vrEf2QbjPrPTp5fW6j8aPmx/EX4r6vnzJ+9/qp4/5Nj9Gv FL8d/iH94dZSOhXxxvpzzM30L8j+ILslruvmFuak5jk6W+R+lntOrixdymt8 iw2We1aup/lrfia5rnLZ4vqDvU/nxt+nu+GP0cfwsfQdvKbjcbyy/uH4zeJz 8eb4RexHbGtc+8z3mZOZ58ptlftFbrtcObq09/MdNkRus1wv8w/x2WOTrbXj nNZ5yJo99lC8tbKXZGfL/k1/gOehP8DP0911m8fvWyefz2oMftz8BP5i3Bv1 U1lf1k+D16LH6leJ3zT/SFwLraXjvNGdZ71X95LcT3Lb4vpjbmlObp4nv03u V7nn5crHtR3fgvfGv6Wz4N3wHPE7wa7SefGrdA/8cfoEPo6+i9d2PIFX1X8p zh18Pt4i9kLYz9hz8Rs1329OYZ4f+2jvO3t83/K/WV+Qr8Avw/8+9gTyW+X7 mH+Mzx6bYq0T+2mfRVa97uacsbfjr5N/Q36O/D+xj8Lz0R/GPYDuqX+vNYlO fv2x+EnzeHxHXMfjnhrXXv06XmucbjXzUf5Ifpk4Z8QWWO+LfYTMLzLb43dg bmVOaV4gv13ud7kX5SrGdQjfhveNPR6dDe+B58LXYx/R+fGP6F74E/QpfAKd iK4rMx6vrn8s/g58Id4y7rHYr9jzcY6YHzCnMi+MZwvvO0d81/J/WHfIH+JV wspaf5DLEnsCvef0+tE/hY9PtdaN5ws8u35Pc279xfwN8pfl58pfj703XoD+ GH+F7q3fIq6pOgX0x+GnzRPxnXFtiXu89VX9el5rgm4N8/HoyS6SvV/2CvYb 9gKW1tzanNq8SO4FuT/ldspVjt8Bvh3vH+cLnQPvFfcOfCP2CV0Q/4Tug4+n z+CT6MRxz497gm592YlyNc0n+PfJLZZrJfcW9jv2IpbO/KA5TewLYl8u292a M753nWvWXTqHeVWwctYfZbP6PEbqPq87gP6Z/xM+zVovnoPwnPq94/ob+2f+ Jvk35efJ34g9N16I/jTuxXTfeJ/WZHHOYGetk7Ekcd/nv67XwGtM0qllPslv KbdE7gG5t7H0jjZ4WnwJvgP/C9+NV439Af4CPjDeM50L7xPXLfxZ7DO6MP4Z 3S+eYehz+BQ6adz3vY8Lug1lJ8vVNp/i3y+3VK613DvYH9gOLIO5rTmd+W3d pbI9rLlki/mMdur9bd6jd4RfDS8fn6V8ttgv6L+oP4j+hf8LPt1aP57f8Nz6 feNaEPt5/ubYZ8rPj2srVsT8OdY/Pis8eZwr/PPWqfxkcc/nX5RvpDtFvo75 NL+V3DK5B+XexTI62uHp8WX4LvwffC9ePfYG+A58MP4rnQfvF78dfEs8D9NF 8S/oAXG/oV/Gp9HJ6YzxHKjbWHaqXF3zmfjO+GXjO5Zfbm0jvy7u+XJ/yu2U y2Rub84QezBsuV5Pa2754j6n3brXzft0X+LXwCtYf5bPHvsD/Z36Q+K983/D Z1gbxPMknle/v7lgPKfwt8q/Jb8g9k1YMfOX2MA4F/AUcc7wX7FO56eIez7/ DfkmutPk65nP8lvLrZBrK/c+ltnRAc+Ir8D34Dfw/XjN2Bvgu/Ch+O90PnwA XiieO2NPjC2M/RO/uPkr/qC4FtKvys2gU9KZvZ/Lck11psvVN5/jj+KXi+9d fqW1XVzf474vd01ul1w80GehO9KZ6Hfxlbq9rHl0SuB7xW6aD+gfjX0cXjHO YfkcsU/Q360/jP6N/wc+09owzmfdgdbC8Xwn947cotg78UuYv+YPjusN/Zrc TDpV3Pf135RrpjNDroH5PL+N3Cq59nJXsayOTnhmfBW+D7+FH8Rrx/4A34M/ jP9JF8AH4UXi2Sj2xdhi7Bt+SfM3/CHx26Rfl3uSTk1n9X6uyDXXmSnXMJ4f Yi8UvxdredlKPou2eqvNHfQ2xH1f/i/53fKJ8Gx0ZzoL/R6+Wr+3Na9OSXy/ /m3zIf1jsb/AK1l/lR+ru1d3uPka/0l+oziXdQZbi8aziMx7Mkti/8QvZf6W PzR+B/QFuVl0mrhvyz6JN5J9hW6Hr8E74h9h2R1d8Kz4GvwA/i9+GK8b+wJ8 Hz4i9u50IXxIXA9jbx57YWwp9h2/tPk7/rC4HnnfKeO75l+0PsVPG/sQ/lvy LXRnyTeO32Tcl7HR1gqylX1G7fWeNneKe2nc7+X/lt8jfw+eg+5KZ6Pfx5/W 72PNp1MKP6h/x3xE/3jc5/DKca2QH6e7X3dk7JH5s/iN4/zVGRrXoNgLy3wg syz2T/wy5u/5D8d3Ql+Sm02ni/ug7FN4E9nX6A74Wrwz/gmW0/EQnh1fix/C /8NfwuvHvgA/gD8S+0i6CD4sfpexT4z9MLY89v78suYf+MPlHvC+U8V3zX/D Ooe/i5cey259O/YwPouWXmO2XtO4zsS9Oa5L1oo6VfCO+s+Yu+hvinu9/D/y e+UT47nobnQO+gP8Gf2+1vw6pfHD+nfNR/UbYFWw32Un6B3UGxV7Nn5RuYfj NxB7sngOosvhP9Ij8Kfoy/hcOkNcm2Xm4M30L9Cd8HV4V/wzLLejO54TX4cf weMfKh/DG9JV4zqFTZQ7xH809jL8YmLD4zyJzwv7EFsR+1B+efNP/JFxrddP Hd8z/03rPP5uXsbY61nfiT2Zv7+V15ir1zyueXF/xsfEnlenKt5Zf735odi3 8D+Xvy6/Tz4JnofuQeeir+Lr9ftZC8Q5opsIO67biF+N/6fcJJ3D/NHmm/zi ciPi+4j3GPt7bGXsm/gVzD/zH5GbQ1+Rm09ninNIdh5+r+wlugu+Ae+Gf4Hl dfTEc+Mb8KPx2EKfwBvT1b2fa9hkuSP8x8y3+CXkRnqdMnJ7sI+xVbEv4lc0 /8J/TXeU7IPWNHGN81nMxd8yL4gePzOe0/qubnq8tdear98irudxj47rv7Wy TjW8q/5Gc3f9zfwv5W/I75dPiueje9F56I26/WUKyh/TS8w/qdeEX4P/l8wU +Zf4Y8y3+SXlHpEvK7c3noPoSviv9KP4PPptfCGdJf42mQX4ffqX4xkU34T3 wL/CbmIHsPzm3ua85k1yx+WS0KfkmtI1vZ+/salyR/mPm/+N3wy/SZzL8qOs 5eSX8/bF84fc6rhfY5XNv2GvY6PjHmtNG/sQn8l8/B3zovib+Fljrx17ttgT 42281kL9lnG/iXs2PjaeMXSq4930nzX3jL0j/2v5W/IH5QuY+5jzmZ/VG4AX kj2hk5R/WqcZvxb/H5lp8sf4Y813+KXlHpUvL7c/noXoKvjv9GP4AvpdfDGd jW4rswi/X/9KPB/hm/Fe+DfYbewQVtDc15zfvFnuZFw66DNyzena3s91bLrc cf4T5v/4s/lN47yWH22tIL+Cd0DuU7k18XuM6w5elf4Dv0CPifdmTRf3GZ/Z Qvw98xJ8Hz87ntv6vn5GvJ3XW6zfKu6tcc+Me7G1apw7ulusvXW/lftX7rBc IXM/cwHzFvlTcsnps3L30nX0b2Az5E7wx5nv8svKPeb1KsodjH06XQ3/k34c X0S/jy+lc9DtZZbgD8RzUuzd8a14H/w77A52BCts7m8uaN4qdzq2ovQ5uRZ0 Xe/nJjZT7iR/fOyRkyf871+ezrE285r1fBblWGNi78VfyT8Uz37yT8e1Jq4/ eHX6Gn6RHhv7nLgPxh5QfzH+gXlZnEPxvBzPO7FHjmcRvIPXW6rfOp5HsHHx bBfnjN42a1+972X+k3lJpoh5gLmQeZv8GbmU9Hm5+2J/gJ+iJ8R+kFcefzz2 NfFsHntFugb+F/2E/BL6Kr6czkV3lFmGPxh79dg74s/h/fAfsLvYUayoeaC5 sPk5uYHed2G5s/Kp+C/Ln+C1xOpZb8nN0jmNTTT/wbtHZq61uV79+PdeumNj X8BfxT8i/7n82rj+xTUIr0n/jV+ix8X5YM0Qe1P9pfiH5hX4gXimw/Nar+p3 8lrLddvEvjj2Pfzqcd7obLf21/kxUcL//iXqMZli5kHyRczb5c9BqelX5O6P ax9+hp4U+xReRfyJuOfGc2PsYeha+D/0ePll9Ef4SjpPPIvF3l23s+wKubax l4y9jdzzcgPkfsISyR3HipsHyxU1Py83iF9E7rx8Gv6r8id5rbD61ttyOX0m s/XO4pPj+YSfRG6e9d6k////faik/38/jCRg "], VertexColors->Automatic]}}, VertexColors->CompressedData[" 1:eJxMnHk4VV/Y9yUiJAkhRTIlSiWp5FZJhMgsEiUZkqmQoZDpZ8qUmSghSZJM mZIkc+YpHMM5+8ympFK953ne97X4x3V9rjPsvfZan/O9773O2XPNxeAGMxMT kxo7E9NGxv+01P/5IwLT//7N/b//TEwVfVaSfL+IMN104k7IE/oa32modKTo GgkeaFy3oyohTll4M2zcRILiPEL92X7aGner197GL0GGfSO64cF3ET/V9aN1 PpIMlq05nflbEPdk0tw1SSGDROolv6oi6hpfvlM4TzamQK4EPf/VWcTlBPab bqmlgOvD22eixihrvH1Iz1htFxU6G7TUzf0Qfzce2h8bQoXZat4mdj7EOTZd oy3gqRCbcOxlXil5jW+/bJHiqEGDMFDdcNAQcdt5u6Z/r2igVHC4P5VMWuN7 CgX+y+Omwz16EM9iBOKSeUNdjl50uLvY8OWAOOLjnZX56uN0qGmdnDd6T1zj tKDO0K1faHDZMCJhSwQR3DZwlG6e1ITu+m9fphoo8Pf1jAmnKxGOcP7A6T6x hkTjym1WoyTQZBEoazIlgmYYe7qMsSMspx3rOteBQcPnxhLPU0TosYptsnF2 h3YmsYoPLXjgYJLReraXCL7ESyUvkr0gvL732Sx+Bn4dtPWN5CRCJQV36riD H4zLy23yHJsCwa6durfmMYjP++Vu9DUABL/rORcvTcLojcJK9mEM+BPIO0pO P4TYqqo/3+XGwdVtvl70AwYGx479aHkeAgqYCJe96AgoUt7aHczHQDSiafrr qXCIbRGQkDUdgCwr3fxfMRioCh3Puf8iAiTYL0t/OtUDimrXwuruYLBoQnfa qRUN+tsm/vK4tENW0sGNfy5jYKPD5HZ37BFgd481HqM2QdFMr+CPMxhwg9+z qj1xMHnoXKVYfBWQchY7iDIYKB0UeqzgEg9M9ykSEnW50GZCEknhwSCkdp/L vbyEtevwIOif5KdRAkxlpxp93vVsjVPv9w3dukwAo/ijrpI3q9Z4wqWxqDoc HgYMei8M72ha42L6ulZkKzzs2yi56eDO9jWOl5hXaJyZBb7bmcrGbV/XeOvp g9x/b83C7NmHr3U8+9f444gBdn7yDGx+9a66zXV4jae8KGEZcJuBKNnWzCvS 39b4w6XFXe60aXiV+TjifdLkGo8K+3raw3kaatIWpW7ETq3xzjmc3e7vU/Aj 58xBQfsZtP5CLF7kuk/B5ELFhkc38WvcdJ6N2reCg0Xd3Wpbz2FrvD/34knH QBy83XX4qpwQmu8ng//mjfybBKFjtzS38KP1N3wct/176CS8upyc+YOG1vf/ /fv/xz0H+475TQx8YayHa7uqG7uQf4gJF+SsD5CghFXP+bgT4hv33tkUmECC JE/JBMFNiB8Yvn/36BIJnBqEJWyfI/+Yfd5ze6MZGc72eO1POo34CEF0yb6G DA1v7j1X+IaOr/zEPTa7PRSYsRKLP+KNeOwnx1y//yjA0XfguwgP4n5epwak qBTYLW750b0InX+DhdNj+0tUGDl1gOWQJuLW7ku40+VUOCn9vMJ0GvmHu8Tq Y7EADaKIJwZIQYjXSNocOOpDg3EPZSdbUcQbO+qkDMdpMNQ24q7xHl2PvQVe Rexn6eA1v4caa4J4UHXL+8FCOghOdH/7QENe0lEREhurpEPWWNoGziSGZwKr mto/SoHVHhOZn01UKAo8dpfLnwhpkfcu6g+aQClHm7NYJxnEL/uzYteJoPrl gepJnxugvuI1d6mPCCx2t0ozLzD885SPdznZBaY69n/c2EYA/PXvq1EKRJCQ cKsOYb4LMpP3XvUOzgKzoMa15B1EECULebkx+UDZ8r++V7hp+O8fzPj+xYCS Qd42z/oAfLbVHY/HcOAjPB10YhaDfhGPc0Gbg2DOXqA8kXUS8si6KnwMLx65 ERdW4xEMk/pkloNSY9BTbJAgXYZB5aS/c8d8KFgPCQlqnRwCh+dMbPzpGBR/ vX+mwOM/MLOvfO51oQ/su0yTxwIxEFZO3KT7MxJsW2x78050gz1Z89O3mxgU ffW63RIfA9lnI60lilvgee0G7l8XMXhy+K/8r7BYsGeT3yox2gAXPl73mDuK wd6KCyJ3W+LAtfLKjdSVN2Cxevt7gwgGVp57mPs5GF46maY1ahUGz8mn44tY MMgobZHdAoloPjI5/hNMJ8C1Q6ejWXzfrHE1+6FS/t0EYOL22lB+owGtu+7E 70bZeGDb7ycTLNSyxoNPPPk8sAcPKfTX7ylDXWh9HIkVnSyYhVUznqXu7N41 roAPitwsNwse3iJHozwG17hA2sfQu8UzwJgCRXw6o2t8i57BNgmFGVgu9TF3 lJ1Y4+x1U68XXk3DkYwms9gE3BqXrzHv0zw0DZd373yp6je9xq+93x2OezsF Thf8U3pvzq7xvPeH2mqOMrgYWUzPhICOR3t/omgtDnqPFnTtOojmdXiilNtT NRzYyXb1iuxA64ZjwuXbzY+TMN2ywYOZGa1jSsbcfz5nJ8H8VVun7w8a2GAR KpVviHD8DfcVHAF5Rr+sT+YEHwkuzDa5Xg1BfOvJ/gwBXxJEWjWtBu1GnNsu Jf/cGAlijmxYMKxF/rH9WA5cqmRQGpgyj7ZAPGo08qp8Lhm467acuPUdHV9S pjXvXjYKsKwqh3nGI66eyaFd5kIBk9WYi7P7EO/TKBMQ7qdAs8Fs0IMm5B+N tCt3jY5RwejfSYlz1xCPKKi1IGZSgWd+9FTJbzReXBaTQ91/qRCjWtXQkoY4 YwZP61nToNT8ZLnWccQTJuLv7mumAVv1JgnXXuQf8X2f0wZl6ODt2vP3gyvi hiXd5/bE0eE8scXQmx1xe9zwQ1imw+HKev7Lz9B1lTKIN2U5T4MgkjVL9EMi 7NOoTyh8dgnUbvSlB56nAA/roeKfDgwvOZ6MbeK6DhQpwQ1DpiSQOnr6yKFL RMAlxpg8Wr4Ft8oOfZHQwaCXf2xgwzGGrz4E1C9WeIDfnE7pBX08bOKqMM7c xfAh6V3ClnZv2D3qUKNlOwONO3peb2Rl5K4mvPTjCn8oFv0uGnxtCr7c+XfT kIzBG5ySpZNzILAcfBu3x38SGmT8fLh7MZDwq9MrH3kIyiEGgfH7voE4z9MX z6oxYI26fLhNOxQ0rXfGm8kPQ5fmiJJ4DgaEV3u21w6Fg2sKYaZbvx82Jhs8 cQpn+KoA33vjUiSo21/9c1TlK3Q+Npa6eBsD/cQj1HlqNATIvnudFtMK4oUp 4b+NMLCTAw/hk7FQoFqKyc80wu/enc0eKhgI+k5f3XE3DsTufuW+8ukdiOu9 sekXx6DVILONuTYeArgMf4w8TgPlPUmmTzkw4FX+qfNxAeWotA9lvC7vCbC0 IeYYtvklmqceA+dOqxDgxGBclaZQ7RpXilP+sPkDHuh1+VXFgs1r3ODcMq+N Gh5s7pEmt/zqQPmqSE3ma/MsBEybCGwv71njq9uH2x/qzILiuJ475c7AGjfh 7Tj/qX0G7Nt9jrhajaD55beB84/+DNTefvp7WmYcrQNzst3hzmmgibyal+RH XhrL4ee00puGaEs24qVNyEuCJgE/HvRNwaHlienvBJSjurI1qhWMpiDnv0vb 6OMoRyllpar9GsHB7OnpMIFqlKOKM06YbLLBAXduQKpECprvTw8dO5OD+59c VPEtLBKty+tkrPPYjUnYEHyo/LgHDeZCnIO+44hQuF1uR24F8kyQR8PBUE0S CEoNO2y/hPgPju2u5JckeBYTuq+Yijyjr3PjrCQXGbR1FU3uRCN+oS0q45cb GfQ7uf5kSSMus/Q2PLePDO7PZ3m+NyHPDAzGrRacpEDTB7bMuSuIj1Nb/6g/ o0DNy850o2V0PhIFzY+PsFLBc75no10i4id33Xvn50SFq35iMyIHEFdU2W+f 1kkFuyu3D/1rRZ7ZxvrtVdQBGvyXWEPmckI8ltP2nnAiDThijoo9YEV84T1p 0G+ZBgXfij+IPEPjLiEtU3f8Ch083d1Gr6ogXtLUcCimiQ6kvqGbnP3IPxkT Hr3f1ejwOzn+AlcsESg2ytOrsaqQMif0k3qGCv2C3PhITyIsdx/ZvMxhCRIl H6DeiAxHX3+xHLjC8JJME+UN4SZkfBmcaNMnwlRS8iEOdSJwmHXYFYu4gRlB snZKiwArb7j3CsoSoSPU5t0OXU8Y6sorsLw6C3/39t+O28Z4X7L/5X5FX7jA m0TddnUa9AmvBJd+YPDwxIq/lGwAXNgYZph9GweyDc2ZeyYYdZbp6wOpz4Og 8txi2VaRCYgsFv0r9BmDsxdt6xu5QiBYJDi8TXwUgnU3+r98hcHtozkFXclh 4K0vmHVcaxA2MksPsj3GwPP7qFsCdwSoKf9nt1u9FzrZrjzS9WXUWZ9PH1fM iQL2S30GB907YeNpFVtnGwzYt9bQs449ggZLm23FHc2w76tjwoomBoPKtdhw XyzoZ+s5KebWQlrpSzHngxjIL74Z6tnJ8M+PXq+XpkWQ8ELuvyIBDOZTnyvn myH/XInJZYr/SQC9Dj9Fp5zkNf4VRCmNPgQg27z/y+f2bo2TLEdESf/wcF1B Mu+zaiPK7zzz+7If4EEsWT/ZXLgV9RUOavrpbMTDXOmJttnR7jUeVz0hQI+Y BdfOL19jIvtQbqmUu/CIcxYaeYk/9rsPrfHBPdWfJGNnQJ6TVbLq+Ngab9nz bIf21hlI9H1hscKP6rgv4iMrpdHT4LtzrP7XNlTH+Q9kZh7ZPg2ykwec9y8g LxWJ1QqeTZiC51nCum8IKC/dHxAZ09zB8FVFsMLrDpSXln/UENSf4ODDPucd krloXl+L4o1SFcNBbckubv4ktG7cowq8DzyfhOY4HXb/dfWQ58UV9do9k1A0 cINQ60uHv2q85ILnRMg0CyueW0T+CW4SkpZmI4FA/wN393jE+T+z2uNukyCk J+FQpSzifnLPG3S7SbDbeWlI+wvyj9PpwAKeQ2RQMBOcD7dfl6P6Tz/emsJY X02mLBEbEN+k15e84RcZEi982pDyBB23yH+Xd3czcs99HvD9ooT4g2J6+fYv FNhJfjEV0r0uF1WZ3Lggy8hFk2cU9VwQzz77VLA2jgq/jH8EjLGte7xCzjRu gQpbHVbeVeShcfzTPnbqiiENMttrLFQ0EPfDVjP4qmmw+03GavAE8k8Okbat ficdfr4uDBvxR1zlZR+HRjAdrGhNMYb86+o+sy/8Z0iMuu9090PT1+i6Rjgq 0DeH04CW9V27I5SRfzSabr3efhHCeYcPHw6mQNhIRBCzMxEqTwgd3zxgA2qq 9pvTU0lQkfFy0ceICPwxbSujz52gJF9R510UBl9ud51VOcHIXbHsjYW8HpDn Xa4YGoUH9lAXvWwxIowRNz4dPeQNBh27S5Kfz8D43vTH59mJ0GI2c/gmjz+0 5PFs938yBXM50SNXaRiINqUQrooGAnd84D9C5SRcPJ+QyjnAqIPY+o8ciXkI tqKhoP7yG3xp+FKGq2XUX7gWvtaVEFCUENGzzhuGIOHPnTK5DM+IePiejwyH AIUHwX96+6H7l97et5EYLE8+OuH+JwIUKy3j/9R8hQ3kUZNQNwxy7sYVhaZH A7brwmD//Ta4KjZzbtUUA50XE48L+WJBc+ROfyn2EYzGvFzeAQbbv70OtNeO g1jDyOm6lxUQ4t2TPCGJwT81ixKhpHhQY9buDmfJAWYVtROZWxg5ymebVVY7 8tUW8csiaYw6WOfr9ubB7flr/Mw9462m2gSoKJvmO6b2Hs1rNw5p2694IIWf YlYX/LTGq1pzlPP08HCuLswjiwPlpYdYStGX/llolfGRLlNDeWlaNpjaYDkL XHHE2IzvqO/k2XlJhjo6A+9UBH9kElDfaZl3OMzBZgaydcrbxQpQ32k2z+WM wfg0aF/ZUzfXj3xVluiRZ281Dc99/4RZtCFf3dl76GDXzBTw6MRtZitAeena 9q9vHK9PwZm64M3wDOWl5s/dSQQiDmifmWbiH6C81JjdpKnshoMJa3O/AjM0 32kjaUu1c5MQk74t4YI+Wn9ZvDfcBDwnwdRl5oXgIRpEjS8p4Bmf39zvc+3f fkSeKX/IesDjJAlm+BOdpKwQ/5N09mT5ExJkMptYTf9EPqnndbeUZyLDaKj0 qVupiBtombL+syXDBf0ziWmKiDPRHOpCW8iQ8vLgKO9X5BmN/1iDwhj5xogn cQevE+IVw8JfrZMoMFV/v0V5I+LdW5mV5H9SoPW/5Ou3stF53ldxf+5uRQWR K9JLUicRvzC4VfJ2IxX0G/+7s38QeebRSGZlpjgNOOt/T/72RDwvZapXOowG S0wVn9x4ER9pMvp3k0SDhj71tEOv0bg/I+gd3aNPhx9vtGy9tRBPrW9aLmXk 0Q0jfU/xOOSfpejmn5gfHXSrBfI4Exj1VFzrU7efirDKXhm7+JAKah1P5dvv MXJR8cD+vW7m4HilecAljgxFwXsPTVgT4eNKzuPlEjuYm5TGYuKJ4PGXUUef JwIji1YY3XGFrBEZNY8IAtA4mGMN5IngaUys6My/C0xmPPtT0hmfh1nR9ol8 RAght9k/S/OBABZt3NXsaXBe9Px77DfDD+y0TaKvHoB1xFON1Jc4MKAa8RyY wuDmiW3V0aZB0M0ZG5uRMAGCHUq7drRiUDns8wwagqGkvELDP3cU9v+VDSeW YMAfuTWyUz0MbPmELE43DkJ573YX7hQMkq/Lj+z68B/od4tt0v7cCxlOl7c/ vo9Bxz/SEzXdKMDmOv3qPLpAKakx8bktBpfnhF4fmY0BBf1lZWLtZ7h5vlz/ pzYG799d4XQsjoXYwT511Vf1sFDN1lp8GAMZ4/u/9i4w6riRZ7HHeEvgR49u fbkQBtLh13fVHWL4J0WGNjrnCmPdya/fbMAA51IidPgG6i+dzW76TmWMX7nW 309cnm/XeOI1c+I/bgKcFu3sVTX4sMZfzjU++vUID1w2+Ama0Bf0ufpuMSeO Fw/XjP/jO2CL8tL35WPphNRZKN1OnToogPKSVtegY/vOWUj/FCQwtoD6S8vf VPN0n8xAkO9TDN+I+kuOlT6JFaIzsL3fLlz+Jeov2bta9fVkTsOwhX7Upx5U xxl9+a2sKj4NGv8kuI5WoLzERnPWj382BeFLbe6N+SgvbdfK7w2SmoJWcoXM vziUl0L2LJ06XIyDztcRHjkOaF7fic2476qAg8fOy3MpJmjd1B7l2q9dNgnm 8vm1cAqt4zd37xDSD08Cc6PgaMZxOnx6tDHmcy0RBjYncfaMIv/syn0kq7uH BP7fN7voeCPO8Tr3q3YYCeJIS591eRHPehIZcwojwerPLZyWb5B/rM5RBti0 yXDK6FVj3EXE3+L692mXkIFQ8dHlIhEdnxSFEqXOR4E7r4q4jEMQd3xT7ZXi RwEFbHzPhl2Iy0x4e4rhKOBeLbb3XiXyD4uvbYiVOhWSdh/lO2mM+J0tw1n8 hVSQjGr49ZCOxis6RLSznoMGW/h82oZjEO8pnQg/40yDL/gqHlM5xF8OyFxU 7aEBvdFV2+LzuvrZ/sneuaN0WFH4dffFdcQd37UHrGbSQWGmXTDzN7p+uSQn ja4lOtD/7r7C8b/3S+m7S5+vqjYeX6r/y0oDAaX2Gp0ARl6yF3HzP2UEvyq6 WL5yUCDt4ODwnB0jL6VeITw4awspW1tW+ARI8LhjwJ2gS4Ti9EtlZ87fBpkP BzQSOTEYq8EcPh9h1HELKzUqV+6Agf30wa18eGCJ/2uRJkyEt6SbIWB3DzCs rOW3+Aw859zcWr+B8b4KRJGPVvchMWVYLlJyCnLOu33XwBj12r++bs/3gbDa NrPX4vQkHOG4YbGtG4MXc/lOx6WDgYe8++Nk/hj4XPXJulGBgaUSRa89KxT0 M4T79cuGQMSLmrUzi+Ef6C48LPUf2DLpn8vt6AOlI8Y7JUIwsHU95Wz+PBKM BK/Z337fDelqXd/5nTD4W9ovf0UtBniOiYVfzfoCM0d0235dYtSbr7P0I2xi gf0Z/XfBxAd41lYvcvg4BruFdqg2Z8VBQ9KOE7/H30KdZOz+NlEMHttO4MnT 8cDEz3MxVzwBXDZR7uSzYWD6ffIkJoi8JGOzdbP6SwJYHmZ/sfKveI2TnU39 9ssTIPMnWF1eqFvj7G/sLF6X4GFxaZubkNBn9Pj6C9Sdh/Dgp6h70Z/YucZr XLBnQxWzoJp1hNV9P+p7C/yRL9JQmQWj/eWGKkuov6Rkonkzs3YGdlp+cznT j/pLJbP7YmLVZmAkNkY2/wXqL+Vz3ozkrZuG2DFlSQsj5CXW1xUuhmrT4H5q 2wXN08hLteFd9QpNU3Ax+0DdjDTy0okDNY3L6lPAbrxb6Ikw8lL+nWskrnYc DL3/tD9tCeWljJSS6336OFAi5JdnD6J1YBre+yi4ZxJu21rKfGpG61Km6Zac udEkvEy533j5HQ0M5fG9LDQinL/19lPiS+QZveu+h1KNSaCjtNueSR3x+ftT uWKVJHghXLHkjUOemQwxk90lSIbq7add/AIRV9dtPLJ8nwwmOoM3ngkjrvfr j0HjJCNHPUnXGKxEnrGT2u3VqkkBRQ9f8S59xFmYfWX3lVAgKXm3iysRnY+3 WuT349uoIG7OnXs1HPGVPw8+hTLq16fpQn28exAXzdF42TxCBd8VA1pPHfJM /EGRZ74naMDu6L+86yriPvdnd2/JoYHYzjKfqBU0vpvfBpTEMdMhDi9IZEtG PNeO6byBIx2WD6canD+I+OcvNbccvtKht2tMTqEFeUnj0J5XzKx0KLzLTeeK JoKoUO82dT51ODzka4NtoIKj7b0sbQ9GLlqMxbfkWsEYc20BN2Oc64ddwjsu M7gp/qzzbgfQLA0bZN9KhEsH5d0a1IjgNlrMz/7JDfiWxE8YbCbABvOd5d+k GK9fOVxqveAJJedPSe3ZOwurL0TuxnATwYByUIetyxcExHA/P+6aBsXRmcMl jHkW7nrPu9Y/AA77OVnnH8IBc4Lyfv4xhgfu6j7LXQyCggcmw0G54/D3EfuE SBMGLY26o+fMQ8AsSL9VKGcExjJG3ZwLGXzicHM3KQwConbgDnUPgL7CCdgQ z/BVWMTmzZYRoJA93zzf0AMbcq9ybvLGQPVRSo/09yiQeTMsk+3KsBf53ZGj VhiUy1spcEQ8AmuHdqL7t09Aviw68OMcBvPvRZq1fscCj0NrnGz6ezhdqOe1 Xw6Dw3Gz5YHn4iH7hHUnIaIADgRwGj7djkHNS4Jh7ANUr91mN0h4SSJABNsQ zY+WhT5XJ+5NJTsSAHy8j+26VbHGVU0tTPrm8JB72s9bf//HNX5RQbTpnAse JDqqLzYJtyFemGHCtjQL93kogZmGaJ/Agfth8cu+syD9X14DlQnVa345gfsM fs/A1FW9Yd951F+qvHF09k/ADAyl3bSJLEH9JanItrTxv9OQFSW6aG6C6jXZ fuNdCf7TsHv05uLBS6hey5sG5n0s07D1g3LnHnlUr+kbcuEWg6agWdNBOlsa 1Wuk6/Ez3OxTkBh0SfnqZuQfu86QONNYHFQ+03tfMI7m9cXw8FQuHhxQF9X3 x/Wj9SQ1rd68LWkSlJfnDarfovV9Utrv6TjPJJiQSxfHa+mgQzU+k/OECBeL zpqu/FyXf3RU8jKZSPBH58ri7xTEBbdkdTTbkyAo6ndbjwLiZY/2d1xqJQF+ 8+32813IP7cD8GPxsmSQE3pbs8kF8Us9IiVM8WTQ+uxHTGFDvE46ZsR1kQxj bpz1MnnouDkeMLNbWVIgVjg57uS6/Gd8bUsYz0cKnDsWxfvfAPLPfi3DK5/2 UsFFX0Ol7y7isnF8P/IiqeDKHvJ0Ycu6+i59gwOJwqjv/iYrvC5C4xi+XYQ8 rUMD3lD/4nc6iM9R3ihwlNGgsIhg/2gW+Qf3JajjMD8dqroE2u2C1/W9C0yc h/zpQJo7I/dhJ+KB2z9YnZ2hg1Do0AmTd+i61nj+q44qoMHen/UuzuFE2Cdx 89HYPW2Qc7C4H/GUAmc/VVBCbxNhWTw8+uUJGyBpxUb7VZMgoHuyV9SEkZc4 SFpBfxzBaE959J8iDM7t1PIZPkkEXy+ds5sa3KFahfz9WSEeOD5qt+8RJ8IL ouyLxhkvuKXx84Vq8wxQXjwIJ25meE/8unJ3jR8YOWZF/aydguDKvu14OiNX vNOSv7wSAIkf7ZXaBiYhcWD3vohBBtedfD5/8yEEUJ7s3kX5BrtSr1QH1GPg y8UUqtUVAgqhGfIzU8Ng8bBWuOg5o77rTX8dZRsOwasX+hL4B6C86OKsSTQG Iv4zzt69ESBnPWpp8+crpPOLuoh7YHDBTo3rkns0ZCfzOS0ut8GD0f9y/cwx qCMczHffEAuCMgPa3x2bIHBSUt3kNAbbuJN445QYeekM1kHPqgTlLdOlttL/ sw+hWvx5ECMvNaT7mOCegp3W45fCWzHYl5GJj6xCvtLokct53UuAHVUm0V2C z9f4jlW+JZwBAR4/izpTbFiNfGKzaB43jIch5/A87hS0r+lWtFebpike6q0H avDxaF9T2aZPtHPfZsGjjbOEZRPqL5mWD/tP2M7CXUel7KV3yFchcomCgdMz ML2EH1IsQv0lzXH15icOMxBzUu1o/U3UXyrrOKRwDT8Nfv4WEiblyFdiMeJL 1BvTcCjS23TyFfLVnojNbcuUKWD54ZCxNRz5qkgn6RWb0xTEmWWx3gxBvoqx pJy2msfBQsRW3kvXkK/anm4+c+keDrTrPzmTlNF8T3zdrquzMgnGxDrqy8No /alIPWsMuc84vtnavew8NBiJUA4f7yJCPbfNtvdfkGe6OGVeERVJ0BrtRnlt izjTt9Hs/+mvptXUrvz5h3zy4+6K/aFfJMjdm6Ng/wRxo/Ca44FWZNDY9u2q 4EnEqST1Ya9GMhQVGzXsGUSe+WtT37QsTYGMYyN9T90Qz+1qrKY9osDyl4Hx ws2I530U3SS7SIGl/nsJLnnrclH77UyqKSMXdciuvjyNeJ9E0EazGip8urMj 6fQ35Bm9c39P5YnQQNso3WLRD/FDE3sCiwNo4FDtJUgWRPzil80JV2ZooNP9 aJPKOzTu05+n5xK16FDx9V0Biz7iW2o1zM+9oUP0mIGaEYb8IzZLj5pKo8Pd tiHDyESGZwoSmIvkFUCOP8zSM5cKntLOl275MriITO1xCTPgLtMUb3lNBnsX /fTr1xivg+MhpfDbQRpF75brWyKoHD7Ws6JJhHle30lpMVdQMyoMfF9IAMcK 32b6AUYdpyJ/XNb4LvCJnKO8q5qFDaMOs/wCjLxEXnCJ0PWBNH/J0U0fpsH3 nsX88Cojh/Tc4go3fwA0XYUG/lYc4DdmaJVNY5Cxv/FfmEIQDN22+nutawKu WjYWPW7DwFM0lP9vajC0PPwqaTI7Cg8G6qLDSzEgvNNY1d0ZBtaeqcc//R2E WBWO93GpGOQKm3BfT/uPUd9RjHHsfRC0y7xfOQCD5XTo1dgbBUNq7dtCl7qg u4H11Wk7DDbiWrj/vo8B7EtD+yalFghltnx9TxcD+aVXIofTYyGlqi0FZ9YA ovXvsvQUMZAMtY3U+RYH+l+YfO1Z30DBTauRkzsxOP2g8ZHWboZ/wovVtAYf wOlxitjBjYycFqfyVNQA1XF++sk+GxMIkFH75EW4dymqy2cFOyMECJCT9NTx 1yjav9Q4+bJROoXhe41DwVWpaP9St9cXRUVhPCTnKRw3kEH9JWl+22/Xc2bB sPy+U8AoquNqLsv/JjHyLOeTLknFt6i/tEklMAmXNwMFR9xa/cNQf6nmIb6H Kj0DG5rm5tocUX9JOVmscer5NGzyi1iQfYvquA+NhaEf901DJ3f2aFUqquPK jDQoVS+nwO9JLmtbGKrjLINudYkemAKR0K8S0ndQHXexfCux4B0OOt1Tc67q oHn9IB7n9Z8yDn61XZsaUVq3T5lDNXj4/SSI+BoJ5oiidaz3X6ky58lJKDq2 YBQlSIftKudn6yuIEHbFoGwYh/yjJFf64qMwCa47E+j99xHn+q5y7FAgCaJz La/ZCyLez8ybfnqKBJ+Swv6aViD/XAu+xBmhToYT/JoxW40RzxovUVcpJMOv aszoCn3dfoCmvK63jBxT07fwZTYScdP8azZSnhRQX1BS9ti7zmPxSRq7Rhke 27TR0K8O+ec5h43/MCNXfY9RFmmwQJzJQtv/3zMqpKteFEn7jsZLd+6BYQsL DXRfCGl8TUTc8udupS92NFDN9rnefRhx0dFvuCPtNPCte19xowP5Z0rzyMT1 g3So1LerPuqI+ETpxemYZDq8x18o52BGnENq6oTqKh1iPSqsLDLX9cPPfYwM lGIcT2zSJCWQCCGDzsyJcwaQxW2gv28fBUyEWdTv2jN8Fdh+UrzgOpzZOee3 rEQCqw1chlF6RNAUdGUlZjlD64mSsLH9GJg5XMu2PUoEiREV1RSOO2AvJzgv dxgPrF0jQztFGDmKFBMlJXQPWK49anx6dgbK4qg1NhuJMPjrprgc530Qs7yZ x6Y+BUetKg90EBn5Zy5EwC0xEAL+tF1WvToJPqlzpEdfMbip9PbbD6ZgEKtU flqFjUHnMe5clioMjtjs/aB9NxQ0/6a97Zsbgu8T06SsJxiMLa+Me/0LB9f2 nY9PbO0HkVnDb59DMQjhis++6hsJOg2Th3t+d4OSEy936S0M8p8FR0vviIGG EtJOf4FWYKYv7PM1ZHiMSrMxuBgLQ3P67mSbRujucp7vOYHBzgt/Omn/xQFT 6B0JuZ4ycK3O1tDfg0Gxhaq5VzcjL8W9eQpjSdC3/TReglGfvBVwbupnRV6y 2TYVbf6WADLC2q5zLK/Qup4TsClXJIAlhkV+ZUX9JdEcvZixSjzMD1vyz6Sg /UtZQWIBdcp4WB5IT/7khvpLtGg+vFH9LEyofYpunEN56b/whyo31GehiWXj 9cQy1F/SKIswPfRpBs7wFV0aTkX9JeY3j9ubNWfg8wPBhHMOqL/keXjfPfHm afiw6h7ZoIi85FZgVzt0fppRD0UJdexFXnKi51uYtU+BqjbbJSob8lLIzcC6 BJ0pMKQf4/+8ivLS7c33Hz/sxcHk/T5zs0GUl56nfbekmuHg6Tm+gqkKNN// WLISeUcm4Wjp5odSL9C6/DRY6N9iOQlm3GYqFxJp8HR43/4/BCKs1LvczniD PGNPzizZqkeCw8W/sf8uIL7U5MOxqZQEeX27HyUQkGcEieNKe3jJEFRSfc07 DPHzUdL23t5kMNzifmjPHsRVfgw5vx0hg9XThv34OuSZ3f8Gq46foYBf2oeJ q6aIz/8Q56tgnMeLHM+QKTo6n4tLBZ+UOKmg83yu91oM4mnRfrUb3BnP59o1 liyNeCGt8r+SPirMFU5uJTYhz1xK85MJVqSB1j8RN/4biLN+kmhPSKPB4747 Haz/0PjerziqHrZKg11T1415MxGf0Uhkbr5Oh3ID1uTeo+v2CXxW7frdSger nsutmZ3IP+7hF9RWxenQE9qdERXD8ExuxWmb4tNgO3NB3kmcCk/qzjaS7xDh 5rUprwnTKxBgDkt2jM8fn6aMhUuWjNdRM07Z+tAeFmpfW5AOEkH4+rVLN84Q oU5IVXXU1Q3KnXN90/YRwI/1McVHhgieT3Yp1jzxhGZOd4Lq6Vn4i1+Z38rD eB7FxJAW6AsKqe8XHVWn4YzNF0mDZYYf+pV/zxsGQAP8HN6rj4OkFw9s079h UGn3F8tqD4KSKYnzWpPjoC6aeDv9E+Px7Oa6LEdCwFXP8cUCbgQU7rp4cTHq yDQOx2P6H8LAm5Zc/45rEGRTFSKDEzC4pfr21MWjEaB8q1YgnLkXMGOrjhf3 MLDZT2U90BYFghsGa2/Od4CjwE/tr1cxuLp7S2yf9SPgmU7yjzVuBg6BT4re 5zGw/XVrcBsWCyUs0fdfP6mB28V/tNvlMTjY2Ha+UIHhHyHhZ1puhYDjE7kt zY/B4FON5p23UL1mp/37y+4FAhxwLNy2dD59jac80rn5yp0ArDShnam3y9c4 34jwyasreGCp0t/K9Q7tX7ohxv7D3QsP4qWsizFpaP/SBmd34ovfs/DeJiHv ww7UX7qa8bbP/eEsdO9X1lJtRvfj6HKDVa4bZ8HgeAbW+wb1l1o+evXHMeqr fwZKZ8Xvov6Sl8mxYT62GRAKtpXep4TqtV+/d3A+C5kG7d855o8PoXqN9xtN r5hzGtK732bmbUX12t+qGb+dkVNQvni6uoAN+Ucx03Ty5dYpmBJxUgwjo7wk fz1HpTMZBw12VkS7D2hem0V0xEsK4sDY4I1I7zu0ntorPEWzMyfh39knr3Ym ofU9dKJ6UVdoEjbaRDl3ZtDBUeVHfskWEihceTqPRSL/3GQWuRNzjAxHkv0l Oa8hn3gP2fnsziKD+IfDor6/0ete9BQ2jmeigM7eB+psqYgrJJQqnnGggOMm gq2pAuKFv77iBbooMJf1uTSoFXkD23fZuYvxuFIXkGu1R5x/+eCJ3mQqhDxz uNq8Yd334z6pWQ2vUKGr1+xkQ/a6/VuhmbED5jSQ3r7K/hEQZ5s5v1m0gQYJ 7y7F+gwjb1zbbGGizfCDcqzq2YteiLe8Mih4G8HwBlljfpYb8U8ZX9vV5ujQ v/q53ezFuuthZbM37CYNKtX3y8iHMOqmMh7JDyb6MPPehDB8gwLt9CuC950Y +cSgcMbO7RqkHFYLqfImAc3ec/uAARHctr3KP3rxFnAfeMvhzMgHFxuNtzxR JkJPQZOa3g0PiC0L9LC/jQc2rYSe3aJE4CeNpS3d9wZlI/XyueAZ6M4sf/p8 E+N9Y27I/73uDyemg1KZAqfAMlIjZ5iCAbGHkHNDIxAirNNaWNInga2SjSO6 D4OJD18+3Cl7CPoGt6ydHL+BJ3b09Zkaxvotj3t2QTwU1BrTXccchqHgTXfQ 86eMfGJ74TxzaTh4275VvBnfDyTNSzZbIzDoUT/Jdks6ElR4xj+n+n0F+4YU VZILBivBUzo1TdGgkPvgbOWmNjh9Q5Xga4LBiOOj4CnpWPCO2n7V1e4jyAx9 SeNTxUCg6MscWMeBte2Bn9GV5dA3/cHvsgQGM1qrp2JexENA+JK2p14WZB4g t4hyYXDbPKS/ZAJ5ps8tLDn4IwECiN1/J7hfoD7P8mPZ9rMEWPl0glAvV4Py cuCeJaUveKA8W7hyLwXtO9rE3v58oyYe2nYelzUJQvuODFpvOep2zsKeUCzr ui/KOa5PDlx5ajQLGRUZgepHUc6xc92qbN43AzHBWvxse1HOyT3vrHXEfAbe XpGzDcJQX0gg4JXRmYFpED5FMI38jjyjmd5kNm0yDUK3gioHMOSZ5hqzhPyx KdiTU+n59zPyjOAIZ3mHxRQs7XXasuMD8sy/w+/IrlM4mGVZeNeXgXJOZdYD PVEHHHgyUyPsvNF819zkkH6QOAmfdW2Vic7r6o9/UmL5zpNQ/JNDYZ8Bo644 /GaYOkoEy5tY/cta5JOM31PFq6dJ8DeznJRhivhFjoVuPycy6D7KbxE5gDzD Nx/z7HEnGUILOJY3tiFvxJRog+BRCnARdS8H2iLeOu1O6MmgQPc7qdLmVXR8 vyxmbij8o0D2qXdHHNIQHyu6++oH4/l1lL2UHEXE6//L1AhuocLo1lUD/q/I G90up448lqFB6z5LOxY3xIUNnknlRNMg4Pyy+won4nYNT5zc52igOPxTXvoF Gkdbtpp7r0zooBT/TZRyZt1+7MYziWJ1dPAcNGG9N4p80qKUaUe3ooPEC6OV yDgipN3bcPbYp+PQuoo1uV6nAofH0GY5bwaHkDSuusvQvEk9cocHGeZSl5sv X2XUWTxHThvp3ASN/n/XX7kRobC1fdvrc0QwTbJ8FNjiCqvW+X9lHQngYRVu /m4/EURvP1fy+HUXSAmjDj7+jLxs84bMu52Rc8i5NjUEH7CNdCVUPpiGq87x nEk/MQh4UsFkwRQAfc18HSLROKgb2DKYP4nBAS3rOwn3g6Cp4IP4gOkE9Jx6 GZ3SgsHfBJdDgfhgyCZm3sy9PgpDkslBF15joGo9JKR3OwxcS1P8akMGYcxx 197IJEbOKWLJGyL8B+osxuVlIb1QVmVxad4Pg6LrSbdOeEXBSvZXwvJCJ2Q6 PfDbfB2DN/8c9Ry4H4HrwP7nbec+g2YUz4L3BQwueG35lfMhFuZO8ppVFdTB 53Lz71sOYSArkeLwe1M8NPRH62xRLYZzqqdyDwlisCWO5eXhcwyfaPJ/u2Oo Bl4fz6gqMmEQfFEiTt0b1VMcc/OuQ0EE+NpvORXrUYbm0UQqy102AvTk/1R5 2IL2ESUyjVh2hOGB2y/9pEQa2kfksLBrK50DD5IsU/TN2ajP83GI09wpfha2 uVlcntBHuWXgbNDIq+2zsJ9ylC34MMot+Aer76qSZ8DiY+8m/b+ozyNI5TYJ 3DEDkvgx0Udk1OdJ1crANz6ehoKTAlLWC6ieInbpkCuFp6Gc/kKlpA/VU+Zh j8sc06cgVWtxouozqqe+bJ0anN09Bb6XsuQGX6PcUhc1FP8+DwefKL7npkPR vHaKMQ0xlcHBvq0R/0zW7cvbYTPytaZoEuImfl4bv4zWN981pSQ52Ukw1gGb V5fpsFHE+eWANAmS/eVojW7IJ80zv7gvl5OhrywrAqbR829vP3KhX5gCcqF2 ek33Eb//njeG4yEFRMZDOR8JIG6w3yJvL4ECmrdVF++WIj9cI9+Mnr5ABeXi Q1zlFxEn1ds17C+hQsnw4WFnIjqfTuF6zQoeGrTfH9GfCkdc41b26HsPGhjJ /6z9Jon4sR6Pas0hGlz/LDmh/2FdPgnntPdTYeSTbTGHdl1BfLniwm7HXDrk 4i76HvyOxtc74czb/gE6NFMtX0ckE0HTJpn9oZkwxMpLLvnOUgE3uiG16D4R VH+1TthFGIOJjW6VN4UM4+qFLrduMPLJG1r8t3FboG3MvnOE8brtqTnxZ3QY eUP0yPUM+m0IPv+KRYeRT615XI7IHmY8nvPdSdzrO6CaW3x7/vsssBiLTwgK EYFAUrtv9vYedLqMdBoxz0BKiMTgLiYGt3Pccbn0PrD3a7/lZpsC7kOyNQ14 DDi4JSL9pgLBM+0PxWvvJFB8htviOzGgFWb89NENhqVdrDNsN8dAKgyf0vwO g2jOd+M6LaFgdiJtud1rCM5w/zBIYXye1YXne1J1/gNrxeDvW6L6QD/QxDzg IcMzfdhxw65IsHSdzuTw7YaNAlHf7jlgYNwo1RnvEAPWtcZLp6W+QJN3/i0f fQy2ul2ExjuxoGwcE2J35QN4f96mGXcMAzFM4VXm2ziIza/WayWXAlfcAx6N 3Rj4OAfcsf7ByCeHvy1s64kBjp9JG2U3YfCr1+jtr/3IG/QSleADzwig+XzK NcC/BOVccnJytiQBxjmSFabH69f4XIO/TFABHlh5PrdfTEX7fI79uXP53j48 8Mb/ZTlqg77fGnGpxsayZBYyf+f47bFD/eFnbkM7ZRRnYfqSg/rMEdQfllph 9dpcPgPfn3HHvORB3rASrtO7rDwDlByWRnYS6sMMzuRmMpdPw/Wav3XfPZA3 Ut6xi3cqTwNJPsnnoxXyBo/4j72ba6bA4rvx/rHzyBtzS8vN5qemoLqaZZeX MvLG+IQGJDXhYHCl/M/oNjSv45KcHN9r4qAn/OQnqx/r7t++zVFabp2EQoHX Hddn1n0voeTAKFF7Epj3Ptd0GqAx5seVfx4hZLgcqZImybfu+xR/xJW/4smg nOFp01KKPFCsa6tooUcBivbRG6oXEBfk6lVLL6dAUHSz2d8p9H5Po5wlT+2g wgqX3B3LIMRNbj/s4HxABfX9Au3RwognGva1j01SYZPGp/aaynX7AJve7/JQ o8Hnvm++UuaI04/luYXm0+ClzaL09gV0/o+L20Qy2OnASu7w+xOL+I3QW5Hj rnQ4ul2e+73Muu+ftp/gGBykw/kOq0eN6+pJ4ZEfQpsJNAiy1TkdHcnwRjQN J+WjAUztRY9v4CigyPHa5yUjR4iGgHHp/FVQLjpxpfwnCTbSz+zWMmfkDRcv emuVA2TnXTWUpmEQ/vtH7E5gPD5TlKoo5A6uPjkrm4l4CC3KeaAmyahTuh8f Yj3nBRkP2W9sZJ2F37fUVri2MF6Hwn5OTMQPVvI2Me36MwVSxkxq3IsYPOKs /h6eHwB5ld/wsttx4OI3Px8zwvh8D864Uij8EDJEwp1q7MehkslfL6uR8Tnu f8Yh7EEIqL1TIqtZj0B40/lbnQWM+qXst9ElvnAIl01mLk4YAM/PZxf9YzHQ 7bbp/xgUAQp9kl4WD3pg54K11jVPDPgXzz7ZIxoNajZjCUP0djj2wX1nqiXD V6ded8PbR5BN32BifOMTtD+55+WlzshF/u1lgdxxENDB9vx5UjUI5OU8jZDF 4Ij1P0nzy/GgZpn3MyQ3D/zJv47t4sUgpywcx5KA6hfPTwWWytMEuNPDjA+6 kLPGJQ/mXwm6RgDzTYOGOQ6VKD/0pbtpMcZVqTUfl5iD9uEcU1OKE7yJB2nM pfBnGtqHk0Zo/mhLmQWtevUr9x6hPsnqVQt9nzuzEIrnU848ie5rswvIpR5Z nAGfUObWvYfQfe0CtsUlh3szUDqV8mCJjPok/fVXLQuWp2Hv45G6CE9Uv1gW Jxx8eHcaiNXy0a2uqH45Toote7Y6BWFvav9mXED1yzPKkXPtPlPQmxmbmHwe 1S/Zsh2YG9MUnMOOqRyTRvVL1nFH/GQ4Dt5OqkWT1u17PRd6NnuRDQeBj4eO 6627TxLAvd35YcwkuBWor5it+75C5nbVSy7sk/Dq7vA9+jgdPD7+cM7MIIL0 QM7+1VWUNwpjO2bN/hBhjr39rVoG4sIKjgFVN0gQ6HBQaPLIuu/Rf7jda/iZ BNpDss3nepB/6KJCPwylyfDyXsDTc+6If9aPOPUzhgy9mlstszkQF+Yj+8rM kSEgpHiX24t1vzPiM7AqYU6BNNGPGXfUEFdTEaFzN1Dg8hX/wohh5J/V2EvD QWJUyGLXbBC4h/hchS4+PZwKhTjtt3941vV1u9+8pBGpMNdCoBa+Xpdzyt+f ztdi5Jypb6YLeojLukT9YnlDA1fZLU8SMeSfDdU6Lynb6JA6oUMrCkPcKT85 K8eHDgcXNvz+sRvxg/MqG9VxdHAqsEwyrkTXtW8VL9ZZyag7pZ4HnvqPCLj4 SrFFuQtwP1Ekt/wNo+470blHy4WRW5LrK1Yp1tCgl6tHbSWBrePvswsmRFjW vOdu/MIRpMY9i/fUYhA0H8JfoEIECSfaxrIkd2jMChkorcJDBK4qYkqcCI8d 6uSU6rxgJQgvFT8wA4uU+cBqDiJ8DBN/z5LgB8I6N74c65iCzrPeCi/mMFiU F9cfnAkAM8uxrzWzk6CcNeOqNcTwwNzseLfRQ2DvlYv5j2sczodIn9JvwICQ k676X3UIKFSMiUhtGIGWisoG5zwM0g6UaB28xPDVlMKqldIAFLJebJaJYdRZ bTFhvnUMX5UJn0nY1QNYoZrvnAfj8eM7VMqvRENA309F5iPtwF011qtyGQPK lpKrr+iPgKlrU5hAURMkTfkVS51heFVqs4WkXBxYVwucDResgjhTJzVpGQzy 3xJHSd7xwCTapFfb9QyEusF2eCsGg0XThcwlyFfXZJOuVw8SQER+xVV7Z+4a D6q9Y5dvQoAlYZthh2/o94XChm8u5n/Dw9XJVyuLpmgfTvPtKT5hCzwsvfHH cZiifTid/KNbWXCz8D7DaKkIQ77i8WNpptnPwqHBsXyxJOSraIt3PNqEGVjW 79QKiEG+mvvoM1vtPANbjoQ4xJxH/ZadOF5pR9I0JEV7D4bnIV8NcvxKK3GY hkVepXrxJ8hXXrXfUzjmp+CBzsDsdu91+waJ3vsHbk9BjeTLjb6eyFcLUj7J Qt9xcIcisK/EEPmqe29R3RV/HDyg+dpx7kPzHUu94bN9dRKOxvKnj+1d9/te CmecaoMmYfhJ4eSDf1TYYDPydqSdCKnK9bN17cgzY3pVlNxDJKjTmixauok4 M1OBYUwSCVJS589xbkQ8Pv+kyxFGnmJfuCJr9xR5ZkCabnjGggyf3ArPmaqu y0sOpXau9WRQUiAc3jeCPHP5oohdsQQF1LT9j5DvIJ7WmvT6XRTjPLqYSdNc iMdlHrgtM0eBzauO+93W3T+b2+4s9NKI4Z8QuQCa+rr7TdrvF3SqGM+/OJ6n M4k8U+xTHFAoRAPybrIg/QHinkEfBt38aSCxY+iDtMi6fYPaM5ZmOBrwXnyn croSjfvGyledFzXokIwjt14wXLdv+X1YBHcxHXq/bdsaSUb+KY8NNpl4QQeO vipZ7cdESHOYs41/tB800m83VpRRIdbI4LqKH6PO6utm/eRvCtYTmzWX6hjj OWPXLXmdkYuMNflIn2+A68L1A7iPRBBrv3SmTYsI+2xDiOIUF+Dd5vR0opoA BdGVNnUHieCp0PVzcP9d2H1/or2pZRaCfg4+GxAggrJT6OIfKR+QquY1u/x1 GoJqOkiFfzCYPyb3qObgAyg7+GPVcBgHCo/AzmsGA+XcNHHWXUFgnX3uqAZ1 ApglwpeM2jEwaIy8+C00GMwcrR43so7Bi8ZwHrO3jFykPVUWvSkMrPOHZdh2 DcGqK6uNYRoG+zwdC1jD/gOjoB7/on19cNfTrJwjEAN2EpGixR0FrnckaXeE u0HERLpq603G65tnq17Pj4GGTXlJ/O4tIDBZPH78IgZ2200kk+JiIcB6tZc5 rQGOfuDaLHYUg9yswd7JnjiYVDs4x/TgDWwoxd/8uxODrl/zmo/4GP5pWFmC 5w9h0TZ5mLqR4becILskTVRnpRYwneJOJkCAl2t680/0O0L9ed5q+sIE0O/h UhrKRvtwOs3ELFUz8BBYaTKQZY724ciaK95n3Y2Hw3rB2rYcqD8DEj5/9zyf haKwz69l6lCd5SlmdvaX9CzUc3rKWyegOovb6WnMy8IZeP/I7OQXB1Rn3XAQ WWCXmwHv90cl0y+g/kx24YYq0otpEInKf37lGaqzvCFIPlR+GmKTrpxdjUB1 Fmf44eqO11OwtMSj1+WF6qwNonq6tENToG44Ln7yBqqz3gRkqtpW4cCoL7uy 7hSa1w+3By89VsHB4d+Co7+l0LqpWBooya6fhH97Xn76uu73wHYnXMKdgUkI WBjfxsKoQ07wEnlqyohgHVYS/m0Geeas61ni/R0kMN1nUiIctO73ggQ3k/be J0FUYOzruzsRd1M0zjk7QYJ9N9RXjKuRf6b2BktqnyZD5V3+OxfNEBe4srtH MZ8MISq+n20X0PGdeLPRzYmDAtbYY5kDjxDXfapkQnWngO6Pa2eLpBDHbj0v 3jlEgVK5JZL/B+QfT4OrP5NOUEHi/Ils5quINwUG31rKpkL/Dn755ytovIok FZLaN9CA5uGwsSMZ8acZdVFR12mwsjrCtWXdPifzK5UvD3yhwWkVHNWxG/mH +fifml1ydEixzhjzdV73/dM3j/jMEumwAdsccpoV8aqNVhOqP+mAe3yy+nI2 uq5c7YXzjUo0uFnru1ATxMhLMQLaohcMgHZ8u6exMuN8HwnfO+bA8NLyRjuP y9dBYA8L3DxPgjPpUh+t9Bl+M/knX3PBGTJ+uBYwqWDwGJ6cPKLEqOM6xv+e w3mAe0zp15OnGfUdVTN5TIQINo7iPGkL3hCb5QfLhox533e1/DALEQavSj+3 xvkDdurA9DlDxuco0UI7lsSosxysjtMCAkEtCZYP3p6EXTblh/V6MNAcrhQY pD6EoqxP26Q2f4OVvUNSfVUYZCzX3Yu0DgXNg6NPBbYOwzW+iVjrbAxsDLbc E6aEg2vphlpWhX7gUTWsSw1j5KLLKtXX7CJBn09MkEXkKwQxKQoHODPqwZ2W tVHMMZBC7ZqNNGiF+PZz5ieNMDi4JdmxXD0WGpIDX3E9awT81yaLZycZr3PN dcfDB3EQ++dpapP2O2hh2dfHK46ByqAzb20zIy/pMetuqUqB0DRy1vRmxvFI vw3XWUV56b6Dtr5tBQFo0RTDW2xFa1yu1LPXV5kA76/Wikc/Qr8jJCvUJL1Y gwdvnaCbX8zQPpyV65FfHqngQU7mbA3xKNqHw5Ypy7b94ywo8HL3OPai+1Nn LhYH39GchQC3F44Niej+1MXpl3q/W2bA2DWhUcIP3Z8qTGoj43RmQMPrymc+ LdT/mTjH4SrbOg29XLGqixLIS1KSqrbp2tPwuU8rcCs/8lKjeOK+W91TUJ7t kTb/A+UlWRZblWv6U+BTo759lIryUm8vJ1l1EAdWk6OuFS0oLxXuTBn+aYmD gTut2RsL0HzXP5/FP/JtEgTNrRVM193nScRpSTHZTILcF/WfHx7SoOV1m8nP GSJ8JXacyS5Dnrl78OBcqzYJJB0dX3TqIr5M0KhdKSZB7huDsWwS8kyZsPip vVvJgL/vZekZgfiX/ZeDjt8lw1dn2GEtgXjpXY3fLwfJgO01zKJ+QJ7xISta zKtSQKzYVrVgXb8bW1hmv5/HWI95T2N3LqLzOd5ZIX+UnQo2bTgn2zjEHft9 jtffpoJC027rEVnEXfgXvJ8z6tr9wfliS5+RZ950yTmF/x+mrjweqvf7tykV EiElZCtSobIlB222JJWtCAlJsitkz74vWbOUyh5t1rJnqWTfl2FmuMOY0UIU +d3PH7/vM/++X2PMvfec932/z3PO80jTgNJqd2SnDcI1bRqFDJJooCvd66a2 gYH3FdjZ/JdpQLwRGs6The77JjlTgo8ZHR5bnKzgVWCoSzf5rGtqpkNON29K Tyfin83Hx7cuS9PBJrrUWTuaAttm8wbveaqAl61MfKHMHFTOHuypcsX9FG94 rW3pdegIXLcn/uwsDCi8ObDLBNdFbyPqzU7YQEtDw75rKhT4t+JVJ3ca57Hy R12N5xwhROJW+keFaagc7gzWEMd5LL7m1203N2i/y9JyQZcM3kzWJR3sFGCy m+kzv+YJ1b25Dh91iKCZc1JA+DcGTCHJSizgC0H7a7ktbkwA4biwn+kYBlfH +7bzVfiD1C4Wb8l/Y4BNGb03/oSBdYFpEFHgESyd+L37xoZhMDZX+DNciH9P FtN8dGEw3BcYKP4t0Q+Pvx6SPpfw334+zf3z+8NARe+Z8mXhbhguNin29MDA 8UGSgPT7CBDMuxryWbodygr2GGaaYVD8mFSjoB0NmIDX+czYT5Dyk8dSXh2D DF4ugusYrpf0aL++7/8AgSVX3qcfwT8/pByjLBYHKszukR6WBaB4I+cvhQsD S343H3MLxD+T1Iu3BhZwXZTG+eyVSwqK6+l34uVu08CcO8PST0f7CPmkeRSJ rEzB21+VQ5QHqA/HMdkrJtRzClJEDp11MUZ9ONd0RmU818hwddt0efcy0kv3 C1oXpILJILjqGzmVi9azcn+s3+C7hQxsL9Tm12LRelbHj+Sv1yJIwPFq39u7 Bqi+JKB0d+nodhIMrAXVsYshv2axY3l9QSgRzLfXsLTsR36t2ejTosMOItwy dGSirEP8c3WuQ/No9CQc0SjeWPQb6aUBBUVTD85JYJ1xl0kbQXop7vDRuNC0 CYCWW+s+vUZxbbLdYYcM3wSE+llz/XqO8kbw6Q5t62wCjM8sGGsHo/x+ecYo /dE+AgzsfSBxLoIObr4h03e2zYAw787Xh6MZ9oPN1om6eHwWSn9rbte8hfiE pt+zhSdtFgrVmmL9/zH01Vi4L2qszsK8rNCzi+kMc+5RQeJbrajgsp3TIeYY whN6CDpcX6iwualcM/Ar4o0KR0NKxOE5mDigWsJih/AhvtviLQlzUOsl5dC5 iWGe6+981ujCHNzLyF2qeoauv1z81HSKPg0m711/vaaGcDUroW7eDzQwPOb+ yWeEYb/WZZHjTAJ02J3lcivBgwEvjB/0CsbxOaZaPg6Eu3hccFSdo4OYgPZB w0KGfj+SemiLOw26HNkVVx/hvDHgNJxsdhFkp3lYN7tSQeKWywUVO1zPfJpg Kxe2ADv5K+clQmege0NsQO5lnH8uKnUw/7kDhBnnQ7FeGEQkx+XeVaCAZ7rV +tWTzpDOzXfF/eEUhFivjx0XoMDibQd+G8P70BgjfexMIgn6CQfT3bbguuin SImM4kNY16TRpxwzCS+4Zz6kz2HwSKu2cVLGD7SXWS0X8wiQ7/P1knYvBh8t v/25nB0AA/LL3/rDRiGzZ02a4wMGp7UPXw9jDQL5n8M3+EMGgWvq80HrZxj4 1ppO5GSEgK9mynWZN70wmq2rNhGGwUQcWfAeRzioWO4r+pzeCe+uVmqWO+A6 arXCa39JJLBPWLI2q32GDrVYbiUDDDjC5CLP8ceA2bEzqbEvG0B5SJCJrIzr u0YlhZ6rsbBu5Lq9mEwZHD6iuW2fKM5XTYd+d2fiPPNM6O9+7iy4+C7Rb4wF Az7bzykH+hDPzLfOG0U3T8MjE6fJaztzUV2hbCE99vw0uJ/a4e35Hu3/Y7Sc GHnh6xRYcu8uMTVEfThmFFl6jxauD+4SdDzOoT4c20H/8O1dZHhgIE3cbop0 jvgto+elhmQwFDkd6sCFdI59ppSU8AAJnhKkgvSYkM65cPiZjY4JCcSvOiZf akF1Ie/4KC3NISJIX9i0/SMZ8cwqT/rac2MiEH+CIO8Q4pl982fMqwiTkLIo UruhHPHMBzfasfQbk7D3u/v2Q6+RzrFYVVOVnJqAO1bLX45FIZ1TLSD05dDd CSiWfhYQbIPiPW1+fcsilQAFvyrJvAz+4xvzp5YxRwIEvP1NzVKlwS3my0wz AxQ4EXsu4VUt4pM8cKGVKc/AdyPRggljhHfkicyewnXAZ7pL8TVpxDPh91ak oj7PArvEE5vt7Yg3ZtJzCd+kqVCyMl/eao3w2rFzIykpVBio1PuwtoZ+H/nE z69HVqjw7uaLz7ZPEF70y1n8nfkczOWIOpDkEB5Y0nfiQdMccFHqbwr2IN6Q ej7nmiJKA9tfBcLrXBButqD20BLXYYo5+nwndiA8S83jxN05GvzRF7CULET3 MfD3IwPry3TgfsqpJnOOYR/72oAmSiUdqge4el4xzPGaTkpLUe/Sobz0xDet OAo4Mk05XbkhB5P+HRKvnedALOvD3pX7OA8sHiYm8RjDbhmm0tP+s6Czg3WF z4wCOYG2d57/s4I9w5xi/LjvirKc9vM7RwHfEznCdzIcoH2fjcBFj2koOd70 K0CSAi3m538LdrrCrwVXzdAIXK/7COR3c+Lfc0eefLTOA+abTSxZYohgVbKJ yfoPHjc5RwJn+nwgNXd467X0CWC2KP1pO4FBW518Evsdf1AfyjWqcB0HVybH XoNWDEZkXW3NugPhYIdEP3vgMKznMGfaU4JB3oJzV5RRMNgQB+6sPesHjczd rdpJGLAz86p49oSC+ozimM+LbsjluCbT8BDnq1KVoFMWEbBOQ/e18bFvMLMu O6T/Jv577qv5tC9HgS7nzntDfs0wcPvmfgUtDAIev9uwuRz3U6HO7X8lamCk vOTGmDT+f5W2v45ewXmmaUZWWfoVZIQ0Sf/ajfssluOW90/ifKLyOVTzrwVI aM4t/liHwbEbtler7FGd54D6tWPEoGl4G324p/0X2s9HInvZTXH7NPgTbzKb R6I+nMz7OovE8ClIpNVGbjVGfTj13SGGtWxT0Fx4YgOfP9ItI9P7PcQfk8FC LScj+BjSLdFbi4Q+8JBh2nCErYQD6RZa8b7igDQS2AtUuacRUJ2nvuuMa/pe EiSM7r9i+hnVedabPBxtSyFCjdaxwbhJ5KcytEXiPPmJ4OtunfOjCfmpkko/ f+/MSdiZeUP8YxnSLfaFjVffCk3CM/4CidkspFuEDKwwt/wJUNcJuK52H8W1 w44/6y0lJ8BEWWXJ3Qrlja2W87+AEgK4Bumy79BG+T15p1fZ8ggBjmyR5BfV pAO72b+ZWJEZCFNIK97iivjk1E2bdL03s2AqK716boqhT28tejaChwodKVuL WfwR7vJ+yr/ThwpixNfcLbwIV2KyZRMiUcE04Wi4+zvED8eOWW3NPj8H1lbH YpYuIbxkKvOVYNEczL5epvzXz/L/+BHde+FVrDSw05BgGwtHeMQOFRkfBxqw hRlZ7xFHuOMVncD/zv8QP6vFpd/IoEPu956VVcB1yP7GyzfNGPoP3odfPJZN h5lJVk2rJXR/2aDfq4tMB+PFU0GayXj+xoi3/K5lh9w3LMYfcL20wjyd7+WD 65BS54M/iFcgN4JtPOfvLChV1uYcscJxUbEPR2ItoXHrW9kcphkoPVa9gesC Ba6b1IffS7MHw032og5/pyFjqqB9SQb3O2v6K1FBLqC+WePiOqYpCHSOeTLI i+sQ2571XyIegHFhs1YuBwkyWh530P7rw/ksnhoV4g3t7znmtbknwbD660DA NAYvg1aKltv9QPGYY8htGQLEqGVy6n3D+eTCUxljxUDw3RR32SV4BHSdS/Y+ fo/BYpZuUsSbINC9M0RmezwAr9R+LBk9wfUGqYo9RiEUzPbY7hss7AG1oauK eoEY6AnFX9avDAezRqEApbQOuFhQRDlvi0GO4r/V31eiQOqP4kddi1a4ov8n TfESBpoxi+fF7sSA4MrH2uCMOohstXltLo9B5rqcBem8WBAUoDRa3HoDt4a3 ZDALYMBMeXX4xVwcrDOoedZ3NhaqfVSrsc04z5BS3R2FEG+wbH1xTuHlNBh8 tGryWn31P9y38PdWK/FpUPa/05xhg/pwVuR/1CUXToGXP5X/uBHqw4kZG3+m eXgKDIjPxY1EUR/OM7Mu/z1vyUD7MlPbqo7qw9flNlrKyZMh8+MObfZdqD58 5MCBe90VJGBet/hv8QfSJ8zrftm7KpHgWorGYn8rqsOoLD1K2FZJBLcve50O WiLeuChDaIlRIkLhu8uTTLqIN6yuEr/z1U5Cv2a9C0EO8UZC7OCZg6qTQA7e uTdcHPGGWn5PwqWWCTAy/rjr5EYU14952KabtSdgc/n3Dz7TDPWADMWbH9oJ EPaByTOhF+WlUeXXgP26BOgbjWUiNtGgviia9wT+fhyY3epryYP0xqBnTFMr cRbq9m3t+faOYX8JxbpeDm0qxNwYaAi6gHC2LS9PWLyhQkTcj5tyU+j/RVp5 RZ7cNQesx/axmD5C+IH3fhqtnnPgTOTR7diHcGMP1urO0TlQEYgYba5CPCDz 546Z+yka2GQeVhC6jvDjw2dbNHJoYPXxcufFBXT936ReTD1mosNnm5+vNyQw 6A032dvJuH7gFr4ptV6SYb77s+fJrB46RLbvM11uRPe35FEEkWmRBtx3D+++ EEGBY92EByfOn4U9egl/X3yngo5cQoSnEwWslbAnp7RuQFj/X/9J5lkwszS6 vN0Y5xliMS+f3W1wKXTmSv6Hwd1EjvU0oIC6krUfP90R1OQseI8sT0Gj/9ie HWIUcGuU+/F6rzu8ID89y7GLDF7hxe+/slLAzi69JX7BE0KIP70cWIlwJNlJ YfwnBts+8so9i/MFu9Qc4dtCE1CxJZFNbxiD6RUX3wNbAkBE597TzKAxMG5R SzJpwIAioP7Uyu4RfElrMC7yHYLXJTvpT/IwuKGZxBq7Fgy+1/q/00v7gPRX OQViMeg/5HbP6l4YSFVuzxTL6gI2LTOJ4+4YiKvSykW2RYLK1mumSlJfIVA/ 4YC1CQbX3wWte54RDb6S0wKW2U1w7eGXF3JnMShPd/lA3hQLKntv78V2V4Fk 7hLLtUMYvLnvZD93MQ58tTaS3ie9hL4TAU3jHBgckSpP1QxF/uWH1erv71PT wHenrJhgloXyIphdMNJqGpRqX54dn0H74XQn/iWyzU3BAhNHkZMV6sNRK8+X OHpnCoqNE1fGjFEfzq8WaVbZeTIQrZPvhTuide1d9xwd5e+TYazMxOssP1rX rh/Wn1D7TYIjP3M7L+5E69olsrvmjj0kQZOy7zy0ozqJ9/NEz4Y/RBhnXzV0 skL+paHORSz8ARE2fdZUWTVD/mXeyuaa1ToiaCh4Wo2fRP7lj4AgJ8F7ErR+ roymySH/crb5lZXKpkmwe3dGUWs38i/rNy2dTI+YAEU19RyNORTXGlum+Nax 4PHSGCXjQEb51L1UkKIZR4ArF9Oeh9aj/LbbN7r8goUA/lKfZK3b6TBy+ZUQ c+Is1J6dcYvdxDCXfVJaoWJxFuRNbcwIT9HfcwYe4UzCfVIw152gDYoM+/uF /OPn+EQFqZ1pHsHdDDyw/urElgM4DySfKY91Qvgt2+Etr6Pm4MTRj7HT2xB+ 2sErQVCXBgbi+5geaDCcUzNYTr+/mw6DNYQ8QT+U710nzlaqTdOh5eaVcX2G +tHQqVRD03gqkC5mlzXepUB/se5N4xBz8LVcsBtMx2DLWZbxbSdxPCDf35Di BIStLIdn35GAbMUavfu/fWA+PHuXNuUFHRILqYPNBPjOZjTR1oeBZ/6QHYdn ABy/el35aeMg0HTqXWZyMIh0D+aacQ8BKZZ096OjnaDju2pxxem/uWObkdmg SOgwPppNqvwM86uyrtWGuG5vCc5g2x4DUn7P2XvEG8F2rH3wkQoGcQtCbSsq +Pv3c4WhgWg5jNcbiz4Vw7+/Ouz2jYg4EDR3fk7/kQ1v62d+XGPDwCPcQIir AeWXhEfDWM63aeA4+y7vMveL/+GFiu/8+C5Og6xkecGPVrR/iwPFu9ajdwrM /1pcER9AfSPpv4u/Bg+SYc+f+jvXhVEd4Ml88YkOMzLUrkYnt/SiPHq46iRY Nk6CjuQ1a0oryiPtSl0F40ki3Lqr7Cj8CeVLm/6+1UlsEiKyV/W2J6O8OBRn Sn06NwF24sx/vzug+FdtOrb/0S8COKnZqHiqUuG+Xb+WT9MsiByuv7CnB8Xh U1cLYThEhSVhOTdje4a+0x5a0wE8HqiN+d2OmxFeRWHPOLRIhfFXIX/vPkNx uOOf+q6bNXMQnqb7SHYIxeHsSX+J2QAavDLhuVfMhfDGfl7OYW069Nf5BH3U ZugL/ch00OstHc4PxzvuIzPsp61wrYEcTgdC/W+vz/G4ztz3qisqXgZ2RWcu Hk+Yg2t/giHdA9ert3xcitsMoTokeCUtaxa2/VGwyjanwITdYM35m1bQOHUy f+0pBQyS+SzE1HFd6nxMW1nTAeyTKGZJqdMgOaF8aP8RCohohN/38naFbZX5 21/m4/63+q/YVS78fXTnBpXbxQPYVOVN35QQwUWW8pv5v/1G7haFXg7wgYN2 twP6Kycg/f6S5PdJ/Hm8oYxsO+MPSk/OvKc0DsPVmV/bKkox8BYsOM0mFQy6 7zcf4ca6IbrR6JeVDwYTFxIrTstHAHvk8Ial5Wb4LbLVt0Ibg589TLvac3Df eqmLqSO8BHT39Wk/2IO/RzbG9208iOLZbOlw+VLUNKRu/Fam+Rvt+/HeRk58 Z8IUxHdvl+kZRH0FbJt1qp8/IcNG8okDA0tIH/5jMcvgeUaCxP5QI5nnyD9y ZpS86RImQdiXguqVMOQfOwLg81A2Eeh37sJSPdKB2891j68TIwJz8KSzey7S gab7jflfvMR5X1O++lMS0oHl5NBLlyQm4Xt5oxhnANKBM7N+8XOlE6C9My5s 3TUUFx474a/X8Qn4lF5IqWDY351d8LkBRzkBlHpWbR2OoPj19eGM6ZYl4K6I KXmXOB3EzU6XnS6aBUcF/cmrVPQ5/wGNIyvsVNhdd/HOkxCEmxVG2d14QAXF uW2HFQURzlERPMY/RoUQws4qjyqUF4rHOaK2vZwDs1vB26N/MMyZ6PuMM9nS IOD0nsr4owy8bXh7fb4MHQZUpJLpVigvrqlbPT61Rge4dGzj9VSGc8SIMRKr vFT4nTPH9sYa52fWxJ2dCzdh6SHdqnwvBnviRZkeH6eA51Tqw5ljLnBf9OnZ i8dIUKTj2RCzAf98Ym7m7+PeYOyRdbv1+CTMdu3i2EbBYNy96OfPl37w0dKw Rvs/3dwp8ayjA4OQ+KKc3bsCIbmzQOZCywjkaJ3Zf6Icg5bPwcwsYUGg/dW4 Ma5rAEIKsDOjGRhcTSOd6eUIBZupE3fv0XpAPOLKysIjDNw+TgddjwkHXbvs C1nDHYD1zq8n3cF92aEik/pDUYA5M+nZD7WC086sP5V6GFS3nzOiGcTAvIag XJtgPVR+5Q7eoIhBunRYkHFCLJixnXsVb/gWeBx2V0QKYrCfwJYlPRSHdELF /c86r6ZB6EVehMsGtK8pp/jwr6a3U+BhLdfwbwCta/d6/2t8XEWG6HteGnvY UF4oP7p9w7oO1z/ljYTIMuSP2ATU/ffUEyGfenUg8gyK/13VVZFnWibh00Lq FgoPivNtMA8t3ybAdN9XtWUyw/qyk121Vh8BLm1/07tQhuJo8ev23hhDAgRc vuPThev+T9RfF8o8Z6G3MEdrch/SIU337xAqR2ehR/BIxVgVis96Ds/d/mep MBDE78dzBeF/V3QE5gupkJmu6ZFHZTj/Zk+qiTzbHMj5rJ00ZzgXp+Wst+oZ 1znourzX8KoIwknNPqlV/XPwvpN3bbQOxXPN/keuHU9oMOy+S6T1L4rn0yeu eUSs4brFUlmANRXhjfptIizWdOhT++YSKcOwD17L6hMZXH/xdqb9tfqM4n9k 5J3bGieeF970pi+RFNh2oylPb0INtE1vNotzzEFgrGnJXhccL1A4euWfCfCX p6U8EKCAbOv5iThVCiR6LOZ9T3WE6rz+zVIyZHjYEnbs4g7c79g1fPPI9YQl E5knZBWcd/hHzg+MYCBAE/20n+APmM2oQlDdEGwOff5LqQDX7a7t3ux9wXA8 qJ9WPdEFv1ZMqf33MdAdVaNKECJA/kXpGz/eT+Ap78RUfg4DieHG9qLvOJ+L fyjf7Z0HIW3xBMtdGGge4GHtc0V87ilHzHlqj8ftcQ3xa3NoXwLj3HiT685T kA6ErLwhtO6ZG74la+A3GXZXQMKrE0jPn4t88uatDxl8jOmbHhNR/VDWutDR fI0Ej78sEF52ovphbYL+aHMgCaiLOl19cUjPtzusr1zeQAJTZrVI1XNIn8Ri srvS/IggPxv4wkIV6fnrZjx5s1uI0Ku+eMKSH+mWl0FLxVuCJ0E5o9chhwfp +eh1rhaj2yeh6qKprPMfxP9Xth7i5t01AfuE/wq/bmI4V056rxY3FwEOvcgs 0S+iwwbjZapo9iwkQ1ah8xJD/1XyGHjaUcFsfZUR/2GEfxRs8N7dRYWR+317 /JpRPOt+W9QcS50DzbanOlX/0P87TFxV4DShwd33aTeClBjWE3lj78eK0sHQ l3k/swuKW+6aqwdVftIhcOi0o9ELFLdxMYl1RfpUsPc4T6yypcD1MadKrhoL UHL8QVG/jgE7dbdThxwFxN8J+WZHOUMhj4HCExcStBqfyethwnWL+Iv81siH 0NIsdpgzggCW86r1X7ux//qkQxKbA0Al9ppfqtYgKD3sHSFmY+C4VbboRlMI qFRnTFpf74S9h9xl+O5hkMOyfZ/BYOT/flcZL3/vg5ppqHQ9uteSJR9d39Yi Y8GmKbCS/ro9YQCtiylU6WtEt5Gh422mcVUy0r2mqjSI7iCB50GLnCoVxJNF dl9MFLtwPXC4LceQCfHkvVC7pviBScjT0j78px/FSarNgcfvxibA+tlMhmsB 4slfezvsbcgEmH7BGl7uRYUMp/3cTzpnYUXsfsBKM3q+Mo20J2byVLDpzf8r b47wHf69q9IbcL3K05hmncQwr21haRD9eQ6yZE+obWtHz7e3eGPHaAwNmmYS W6uYEX6G50faTyM66Pu/XH0O6Lk7fJvNVsJ15yep19kjZ3A++b3rb9IPB5iU Vg29Y08Gb7XTh/U4KNB1Z+eYOpsnsJEvxIw9nAAXLdtK0jjuazqCL3HH+QP7 xp1LcqeHoVjh65pHMQb9bUrmOwKCQYX/XhTFshvqza47CHhhkMpF1ZOLiICs lHPD1Vubobz4Q325BgY7DG99P/U5BrKmpCxGNItg9udb7ns8GPhw9X6n6iCe oSWFFH/1nob2vRHzej/QHHFIyK2G9wFTkLTVjaI8hNYp8lsX5IqiyFCXycEt Z4/4ZEx3+AM9ngTq1tTETXyIN6Rkq+iVsUR4fGjZ6fAGxA9WrO+YtUQmYGG8 e7NsELqvZw2T5n6JEsAvVi/nxB066FpF+plXzILmMZbd8gSGfaovaSuLzlDh uPqFay6vGM47SzncKftmDlzX2bVYTKHvXd+67tGSGw1SOpJ3ZQsh/HSyalg9 0MFgveGOfiOG/cemiygDzXSQIXsOtD2mwGKyv8iWpf2wSTYiXht/z/p9i1fM t8Tz91SZTYTkLXgdRiUeGMb5WlEm+Zo0/nx5OD2PDbqAmU7GV7U7PXD9oMH9 Yn8MxIOUBXVJ4eDr6yBxbKYFTqRdOVV5EX++l17ImnrHwDqpiCFpp9fw5txv /4B9GFC/61btWY+eV5dhd51w5jTcmt3po7aC5jfJ6luj7+RMgfeTbI/bg6g+ 7Kj2QiWjkAwXJIzkHwQgPcPfSvKG1ySYPH9gn9kRpPPvdTa8+FNKhAuFE9sb AlCeVtC26S+UTQIxkzLRb4D0jCdXBWWodgIuJb2a8hJk6EtpZd52tJkAzfcM BY/9pEKtvQT5dcgsDEvcezvFznCei/mW+Gd6VFCXj9u8eA493+SvywOswziv f8msDf+Ivhc723RUpJMKvKOtNsMOuL+z0gri1DaDtiyt2PejOK+ZjwpqKFPg 72q/odZpJ4jbbx/4a4EEHjpdCtosFMi0c60rVPMCQh93PnXjBIh+v9D7eRCD 4u2NioePBEB5e55nDwyB6cBDyr+XGIQJmKXvFA+BgzS4GGPaBQdTzG1iXDFg ep7yiP94JNS+5os4J94ESvVi6mWnMVA3FSnctzsW1t3V2HG19DmIZDvlG+/E gEvB6GBNOnqOW/tPpbmbToO+9maLmxiap5McEj8V+YMINrzlIs+C0Hs24G4F 68TSJNSJr0syNkI8uRI5Y/tsZQL27D2kLCyLeFKFKVt4Gr++C1ZCqkeYUH60 b83MldtEgIFKarU7nQ5BxS0Be9MosGu2g8v7H1pHK5V5/Oj9XwrMWG3cRXyC 8FTVjkEZSzxPDFtrrE4gnN84pq+naQa8YGtDYzd6viX3ZALfis4CRdyai+yM 8A3sqoGukfj7OtSQS4QF4ephKdqBtFnQ27HuAlcBQ7+iu4p7iMF/5z4bCe1U Q7hsnrBw1Ecq/h50dds+zKBL3+omTfDjupSkvqHcA+F6WjMm3MFzoK7z6mQA B0P9bXbrVwdsDlSKo78cLEX84BCyfY5ZnQYSO6MKYy4h/HzJgxv+r2hwmSKg yDODeGPna+lUDXY6hE5br10MZdjPR0xebvMDOnQ5mVvECyJ8C8HjauM4HeIr +M/0VqA4n6wZ6qbV0uBLdVLY81AKcGma3/YO0gAxidX32hVU0HU1Usq/h+uE S8Paop/MIF+vuES0ewb0y5i9rhlQQACr3Qw+thCl1P/xWBMGT6+L3NxxCs8L SyBt83fCPUjXOcW6KWibn6eoCVPgkXgIjZ7vDir7TchVYyRwZyv4J7SdAsqK /iv83l7wr7pluq9nEly2tn3c9h0DFduoCa5hXyg/+DjzxBwBtvk378obwPOv zsZTRSsAdM/9bKrhG4PrnhH/ymrx95QdZY94ySMo+ea16zz7EPy79D6+/QUG 169XPvY9HwIhvcIxjef6QOT11/exURjI/7i5a/VNGBw0rTxeeLgLolwv+Rm4 4H4zdWOPzeVIwJyoKVsvfYG+A0Gz6cYYHDhsaLNzKhochDJFXn5phKc3c4lR ahh8e63mQxeLBcHFoodXrlbAB6+jwSEHMbB39CtndYkDXx3DyvlzOeDEmVgr z47r+XebWZULUJ469LU11gxOg8B0i0VoOjq/Xj4jRyDMcBoS9D/nnH+K5ssi uYRU3oxPQVpKbfaUHKoTOo8nVWwwmYIo486ffApovsx4n5UgcZIM1kwPuNcP Id0+N8Zru2hLhnDWkgLZIFQ/3PmziUWKguf/muqGFz6oftj4nsu15R4JvhS/ 3Ogmh/qIOmwDhOypRHjCtUX6aQbiE5nWW7TYO0To69v1syEJvZeF+2d9dv2c BAX3iG3cDgzzsHK2th8cJkEnonQD0z2k20VYVNV+L07AiSepb29oI/7Rs1xd uekzAXs390/u3c+QHztes/9eJUAesfa7Cx/Kv+9vY2EwkABnVwVrTv6eAy7t glZD3O89ukD7ptKOeIb43S9ig9QMlL/kYU26jfCAnWxFWxJnYHdIODV2E8LN VEyc3i7MgKKR0gHyM8Qzj92ZJ54azcImodjyRUB41sHbRdQPuJ50kKIWDiOe CWlsk90mTAWO3naLaDeEc7esk+DFfXJgZ/I9XzaEB22TffqSRoVd0Td/f89H 1zkgZ9e/9fIc1Jsfro8+xzAPO2Zg21w2B08qVY92TSCeMU3c/FRyNw2UNsX/ tvNDOO+VnQHdnjTwOxvC/Wkfw/liEZ11veM0WGBp6W+oQPedsyTuQ8EZOgRT No/MXWHY/+fkQWHnQjq4mTq6iTGsl/hO6VSZlNLhiqEEd0EiBRoWehJeiYuD nqmF60D1HPDPnrHL8aIA9ahofpiEATC7zhiHfZoFF4EfM0E3cd27wzKPI/sW GC/cjeb9QgEO3hsexzUpoLfx60OW+nvgce/z6+/10/BpSf+VqBQF1yeCQ0d4 XEHoleQp7Q4y1DPv2CjHQ4Ejh3TflXF6gJ1hKHfgIBE2jwVZc/7Dfc1MeEff Hh9IzjLe+5MwAT1XYn8NkDB4RNj89jSnPwgqVHTIrYxDz5Y7yW+/YNAQzzar /TAQskZFvi5xjcDH8rnOmjd4vHJLxR5eCQJCzQPBg5IDILN94/G3qbjueuay oP8wFAxdm3ZyKPYAXWjghbMf7s921jz4vDECbPibCJESHdAgKF/jZo2BL1dE H9eTKJB6nvyXL6YFxnQMF1N0MNgonC/eEhED828SHOMra0FFTV455AQGJImd S/lfY6HW65PE16pSONKfX3yDD4PE8lDR1zviwfehRiar/yO4kEs9cWETBmfy n7d0nkb9A7lXTmRwpkyDeY9hwq1KNF8WFpy7LMM3DVLzdXvPB6D5sp6EoVyN jCmodrztE6uA6sD9rRQhmsAU/Dt3PW9oEfUPfDnEtGP9SzLozs92er1CulEv 4O70egky7FfTkHYLQP0DcRvehMUUkqDp1JefNGOkJ+Wvl/lxHyEByBnW+Cui uvGV405vaQVEOLBLds0tDenM7tU5X+ujRHA2VnJ/EoDqxu+zD2b3l05CqUCz c+c9pD+v3FWJ6D02Cb0VpP1NJqhuQLplSVGtmgCORyJn7GUZ5gCu9MqkK09A G4eLAYsAyhvCbeHzgXUEcHbV57Nl2K990+7sd6aqBJi/eHW+Zo0GOqsVYopv KKCdPu50YwrxjCYHS+gI1wzoBkeyfwhAeJT4vdNPvGaAxUFCf4UP4fDVLadx dAaufRFa6KlC/JPj/OR1AczCb9GVqTkjhnMx+Hp3lz7HfdDDRl/sJ/p9Ngde qzYzU0HGadqgKwbhLZlZHbqOVOhaXmpRP8iwL/Rg4WRqHxWqa6jv/9Uj/jF1 My1bkJ8DJeGTk8/MGM4r4tpPss+cA6fA++8k/jDs56wSUqazjgbKRjsnNVMY /Js9mzzNnAZXD4WbF8gxzMNmPGcvbKaByN+fIXOdiH84pCcLPCToEGJTNsd/ j2GOQ0qqqDqODjk2t6kjmxEe8yNNuuY3Hba9XLUeymbYPyQ6I4eoTINfl+3/ igT8tw+zLZ20eAmSv/3EXQcVLNqexyffxvVSicDftGM3YZ0IW1bmxRk4jh37 26z7H7+dq38ueBc26XeWc5zB4G3+qdBUPG5ymo+Op39xBreaNdUG9Sn4tOKz qLSPAgYS1M7L4/ehT+nnqsB1Eigv7j6WtgnHOYKnPL48hLbi2PVk40kQeVU0 +H0GA8vnbW2S7n6QY7HckOtKAPqZlL7iLgze5J98c44UAL92Rmhc5x0Flj2n sJOVGFysY9E/pB8ELec9U+X4ByG5eORmXRYGIr48n+5MhoDD81+6d1R6IWym q3hDCK67/HaeJ10LB/WPNdv2SXbCwc9nBKfv4p8fOH8VliJhXUS9ZrxDGxif pDukXcHgK9+sPQYxIDXLq/WkoR6+683HbFfCYIiWd/KCRyyYKSj2xIS8gwXx uT0uQjiPJTLRx+vioLZIQsjlZQoQRlX+qm3DoPJo30zwb6SXIrh8S29XTMP8 +Q9n80PQOfWEuBcRporTkJp2gGZ7Bc2XSV31dvn3cQreMCWyV8ujOvzzHhX7 +8r4/e543P6XB82Xxee84/nRSIYRD5lfHxtR3UmwtOGglyYZul562fcFor7r Lo9qLUIbCUz5t3hq3kX1KO9QK0+6DgmYfvqYr8ijvqa4bx53jnwhwmQCfzLL PsRLfsS8Mq8LRMhPPviuhBXxkp1SGLtb1yS4fxav+UlHeslL76qnht4ksAtr cdyaQnqJqaIrkW9wAgRjb6xY1SG9JHmdwrPuxgQ4RYju28Uw5+RRPVPwYZwA IYXbg+lxKC89rVL+7L1JgBSxqv6HuA4YSU23cydS4OO/FUmh9wznO3f+jj6o OQMCLdlbHS8i3H25kNupaAZEsqj+B6iIZ/zfnFbJYZ2F3VNXjRbCER7q6bwj 1XkW2PnFwtZEGc7FOL6qerBvFoos0w0cGxDP5JoTD104RYUfcu/val9H+M15 s4CJHCrI5clzl/9C13PkZI35281zYGc6JEdmuE695Qe/993F/VqWwFNPSYR3 5UbNC3TMQcv8trwHrYhnzGcCI7ZJ0UDh1S7W6NsIn1PY1V6eSIOiG48+EzYi vMdj1WntNw0+8aeLpWaj+77r6OlvI6a4P7bVb6tWZFinPiuYIv6JDuevPFjn 0I34pyM0z95dgQ6lnEI3CqNxnuE7p0VrAAg7LHbuqyL++/33jgq7UeC667il lOl18NgzISl+YRaCXJTVXE1wvWSfaxDKZgOvP331jlenwLxG2HLWaQq4heSl V0g7wnxIU2GH6jQMnnPoLRGnwGIEe2+tuRv0ZBjJ9xqQ4eOujB3SO3H80Nvk veqesMlF4CimT4SvTb/Swn9jcNpc3STluC/YxAmfWG89AUF/XHbUjuG8sff0 E+NX/rBU6MPLzzoOlW1KxpWfMOjymhC6zP0IVPI+6CZyDIO9QUbV6SIMym0v fzn6NBiW5O6/2K3YD1+sxTe9TMB5rLlTRG13GCidfdxVfqwbrl4bzSB5YOCd ZVf4uiAC2FcT7q5eagcTt0Omm80xGNHrMKCqRoPZR/vCF68+gblFnWeyOu77 xG+TXg7GgNkyvxTnzQ8QLe07u+koBjSr+2+Z9+P84/N8A+dYAVgF2qhpcWMg OcJ6PdAE8U/WqT8y735Pg/jxljus4cn/wxviZ8I+3J+GmU3dTG4laL7suFe+ 1ZZ/UxDP4VBreB3Nl7n3yI4mPJyC3tFTNCtFtM7CXBPXf3P9FDwbY68fmUF9 2pveXNnMHkqGL7eev1JMRXXRoKs8L4K3ksFshOsXlz9aZ7kSlteqEkUCPpNY u3h1VC/9eYQ55BQrCcpPJUdt4kd+jTvl9mpxOBHs4i9YTfAivya0W0ZTbycR 1Pl0FcKWES+t29IsrRA7CVRny4Ov6EgvHQo59MScaxIydb2lRXuRXmrkWFSy foLz3QNKuGsBiutxrboL8vwTIJpSH7spA+WNBs/1Sc1nBNBTzi4l+TDsk9qa 65AtQIAzD+jMGwLp8FDoUnAr8wzwuatzdMQw7F/03XpvicwszL+U9qZYIT4R 5w7Xicf1hEMAm9bmdQgfGBBtfv53Fuprnbt+PmHoYwmff2ZnSYUl1rwFyRMI D1PF/BPaqMBuWMrN9A3xRnaiwcvZQ3OwvFHtRxHDfrKnSpiy1eLnwIQSv6S/ GeHDXBr1N37NQU2Abr8Cw3zdtb8RcX+v0AAyWLZknEH4jZc75JNwPXfyR6j5 hjHEG3Hftwpb7KPD1txoNzkvhvMsDh13mnhEh6q7tw6UcyJc+3Z4Q90sHXSk 2Pr6i9Dz8H6ppETxoYEZ88bTt4Jwfxy9V0SkUgfGvJYE0r2oMJC5Zp1tR4Fi 39VnhBVz0D9pmmsROwONFzOqdl7B/RotwPLHtzugrtFz8lkgBvkbpRd7FHBf 9rhs4vIBZ8g6f7vxX+AUtLjJz4Mg/nlxRcL+s/eB5Wju97tPSGC8YXL3+BYK qL8I/K4t+hBIJ4p+jSZNgvbISe1/czhvBEvq7xf3g8KmZul7pQTwulmyUNCL wRFZvaSGpAAQLKzZwpY2Cm/bLH8++IDBIrenvMTGIHi73csAkgZBy7f1b/Mz DM7SbI4sJoSA16mI+aSGXtDX6ZDRDMd5oKKyaH5LOMizfcgkFXbCNcHPugKO GLhVPN/V8zwSfH0MnNrNPkNyqeKRdAMMilPCY+/zxkBH0IicUEsDaFzTVrwA GPTquplk6OL+i+dX7g/7MjC6zHbJWxTnn4CG7sVUnGe63t+6GpkFeUszo6dY MXB2ov216EQ8s+YqWpXQOg0aPKd7UuLQ+fIRyaL6LhrTwPPggYaRJ5ovu3FC d8jw2xRkfpMwuiSP1tFYjKnxHy5MQT7XcfOIg2i+7DeBNX2mmwz8tVeZzC4i nbO5xV6jwpgMr425I4OYkM75IasqyTxEgoKoHOX7i6guJCSovHTtBgkmOuJl FMpRXUhm39o5nREiKPXGWfaPIp4x7NtyOfg6ET6V8V+p7EI807L1pHrT5CTo 7x8mbSpBOoe9adwpwHwSigy8t73LRzonYXIrdSs2AZI8Dw2JQQx1aTPnbTL3 JuC0xr+1JIY5hsZbOqZDNALwq1spvTZA+fc+kuvJH2dcL++0/3xdgQYPfgrv temnwP4Xrt7S9YhPXk0oRXGdmoHZsuvbA68jPGb51P0Mq1nYlnVt/18ZxCef jrxx39Y2Cz22U/ujvzHsr8hpUHpIigr+QWrY3dsM8yAjJfqrSVQw/YCppa9H +NDTP+uL/1ChdjEjaTYD/e7Hu52nOc3mYJOf2OtHCgz7zJ92LvqJ66Q3V8Wo zxnOZSTUnE3aK0KDysHLG7xdEb6xOe7gpxAaJHVtduxmZzj3OsA6dWaWBqNc MmvFRQznqNFtzzVeosPm/COXe88znE+hImKqU0EHUyPXk1oExCcH5VcSbF3p sEH2RWVBHM4nWgPbbkrKwvzZxtEuT/x3ypaIWD6gQIyef7BJoxHUNpMbBkNn YVUjmdvbjALlykHr2vutYNPYvmD9MAr4lf6qmDlHAS6mlrkboQ4g69Vy1Nx/ Gjoyb6rNSlIg81pyv3u1KyyJNVSyJ5ChNkp/6/FdFEg9tOElpcgD5K16hGST iTDT+cHv2x8MPPWjmjbV+4A3Lxz882wCig5s9P8ygQHPv5yDF839gdmZbyE/ cBzOUy4/KGvF4ALz0uaO1kBwOP2d7XzCMHAzf/rkV4LB9dq64iMXg4H09/5N wTf94KvAnV6UhPPACeHIL22hoD562In8vhuEaoaEJL0xaBng4qwxiID59Oik iMvfIOZzaZSyJc5jx4/w+NGjoLZ0Y89EZjNkDrAopGhhIPBi6xb5NzGQJZWz dZ9dDWAKIwnnZDCgtJzpM/odC1lKvIV9+a+grSj0/lVeDMzaPqukyeJ8osh2 zM/eFvwj1S7rrccg1DqybPE2qvOc+BWdgIVMwzsq19e779B82bifuNQ+1mmw WM9L+3YPzZc9f8t8mh45BR0vu2VXFNC67b0zyqu57FPA5Xdju6gz0i029MIw 5mQysBW01A6LIN1iZ1f/qZGXDKrRrzg+bUC6xenckXwb/D1w/+sRqbpOVOdJ ahrflL+PBNpGZ2hnq1Cd593U3EB7GhHauutkCoeQn1reFkO+LkiEmyfPDcR/ RLrlWo/77ZDsSWhv5dKpfYV0S+2fdwlpIpMg/6hU3DUF6ZbLSofjrxROAOva Zuy7A4rrHxe1VGyPTMDy1TSXEFOUNwm1NQnWrwlAHvxr9fIMyuPWeRFOXykC pFo+XSGo0oF7Q3MYXWgGApO62PLdEJ/cFxIgtpfOgpC7x/u2afT3S67K1RgX FZ4KXxstCUA4/Y3u6nFvKhSQ1dMt9zL0Jzg5qmVPUsHmwEGDpfeIH/Ya3Gpe OzsHPmrHu1IuI5zDQ+lAWsEchAiYOP2bQ9czZttceIqFBtVHuqjXIhnmziai Rwn2NLAr31pdLoHwqMSTlNpuGrBsMi0ZaGLQJw6Vx+Pl6MAsPm652YJhTkRW EkvKpEPkzbul6/+g+zuQkD2hO0eH5x7FjvnJuE64RL5oObMF3rutYx1bnYOw zME3JB/c17C2fCmLuQK6QvTvihupMPtLqybaCtcn46p6BraWUMzyMWmEdQae +rYqel/A+Wdlq6CRoz3UWrSf8N+IwYdLmnxmx3Bfs/RyhOzoAtpyj2uCWf6b H2leUdhDgQaJjIZHDx7AU03lbV17SCA0c/GCwXoKmHuHDuc6e0PJATc26r5J WPETsCZP43qj3gbkm/wgfU1Cf1KBABZi/mWl3/D3voDot1apQGhxNwzPTxqB W7e5RlffY5B3J8NZMi8IOgI8Ro8+H4CpEfrnyicYbOP4ZDJxNBRsWE1KlT/0 QHVQr0QVrqcMNGwI/a/CwdC+3vVqQQcsun6kF9viumiRkpivGQVZyYeFDX1b ga/p2ZvUSxhMZWpqG1rFQMxFA9PdNXWQrJkw3SqPwXjEKO/Ks1hYd8137cjT NxC37gvptgAGX1+c39aKxYHK++n7p47HAVfD493qWzBYo34YLNyHeGPPu6GX ynnTYHxfrqzSG82XyUYeaFA/NA1jH3rjvA6j+bINroVsOcVTUH5yrVlMAfUP nLqYqH7s6BT8CF8+eWcLqg8ftTGJX35HhtQTO4j7FFF9WCF1NzMokmH51+RF sU2oPvz6o9yd8ioScBTfLuMjoTrMyI+of/7KJNjDZRdTU4HqMD/9FqPZqonw 6Er+Z9XriDfy57X4nJSJEP1AhvulOuKNnfcGB8TqJyHB9X7K5FHEG9PjbQE7 Tk+CG41nD5cQ4g2X6DQ42jYBe7erZc38Rfpkt+EN0XadCXj6TVsxZhzlwWHO 4OWsDgL8Yy/tlGxHeakC+wxP6RHg9ElmUsYHGgSu5r5I9J0FnvT5Hxt5Gc6V OHme5dwk7vdN9SIvlyEekC+598JekwoWFPGfEhcZ/MumnSVNpbh/SQyhdE+j /xfQHVBXyTEHPJ+4BsaCEM4+5LvloAeedzW74xwFEF7Nmn9Me2QOxsLpty58 QDwwuavRb/kkDcoDe3myTBDeX5joXPCUBg3UjWK0RXT9VMd4rV2b6FB8YLPO o0QGvWG/13DhDq43Dnmr5hxGuK0mX8+mbjpIXXzYlPAJ8YbXsL564CruX74/ 2VgUgeuExcGm6qIzIMYVUty8TIWRr0GJRCccT1ZS27hkCjJ3RxLv47qHPZN0 184Y1xtP2orPnL0Npq8eunVspoDppICCgQoFRraHa3EOOUJhYr24yvppmJzz snETw33Kx5CurVvcIZ97/l3KXjJUp5K5jrDh/CBpFXZh0hPa/WxPpnIRobTi 0PvzvzDQTGo1kArxBd3tzGrMEhNg+nUq/c0wBscUJnZarfoDNjV5KjZxDCQL RU9+aMDz/Xubcp/FI9i1IyyOGDMEzS/cSpjyMeDgIlOkFoJhnYs7hb2uD/Y8 VrLLisUg1ci3uuxWGEgV/ZOJKOmCkN/je564499v03D2xVoESJmknrbX/QoS +58fbjfBIMzRKdkgIRqwtsHAOzVNIER1/Zh0FgP9wpY6nnWxoFKfor/VuArk xEXUGg5h8H1TYVyZZhysa5A2urgzFzZcO8+iyvnffM1F97uByL+UlL1sasem YcJeWExgIPN/uO6xs35xNtOgvC9G2bsAzZeFuh168p02BU3CzXET6mi+TP2X pbvi3SmgcOY+71RE82XZCtOl/D/IIKVUfz/BAq1rZ7ut+PF4kMFf0D8jZQda 185UtnukuUyCEHGv3lvrkX853i5C2e1Dgm/Un7m3alCd5FKy1PbOFSLU67CJ WZki/+KmRd4f7UkEzsuDKdxGyL9oifYUn99ABMlVo1Tf48i/5Chw/6H4TgIL /5sNGUeRf0nmyn5+YPMk/NurpdDLjvjhOOXj1IOoCfj94/PRZYY5lS/n5a5t ZpuASyOUYl+Gc3pX7i4dPZJAgJan51b2M/RlX34q2V7PRgBapBKX8Cdcb3Ba 3Q6Mn4XAoGNSXJsRb8SUjm/lWsD9C1YRHZjDUGfxS478Y0IFlt3rWTJPMswp LDBdjm2kgmJO/DlmhjlYNdErmVaic2DocvaPjAtDX/equ49k5Bx0pe3fc5cF 4VOqX8BfhwZvDb4a8Wih6+nsfDLWy02H1ua/lQ3+KN/zRAJYGsh0+O7CHdn3 Bt0X/26PO79SqZAQJtklao/rBBu7JX9zc8Dqrz6czcFArCRf0ukkrgce/rV4 1eMEYrn+s7s+ksAm5NN2v60UOO2w8fe7Ti+Q+V1so/eNAPU/Tj6S6Md1tafJ Vn/HAHh7d+VEQ/cgiFBqzms9x0D3eazFSfsQkHp/0lZ9rhN+abLdrnLC9Xn+ FZcMr0iQWt6/mTrwGcrsCBF8RhjsHxh+qrIZ1+09p4otNRvB9cYfNpoK/r72 u077dBJ//265FC9sUQ7bMX67jQcw0PMQOucfHAe+MVvYhW2fAutmlYtVbPjn 4z0CdT+i/JIXW4L8zmnYtfYoLTYJnQ9uvpesuKY7DQvWQu4dUWi+zE1UgTWo fwqevHVd3VuO+kYOrimMWQ2T4ZPFdGTJLlQH8LjcONhvQYa9x2+mjzWhPFqf GMCXPkGCwXPOgjuqUB6tO1N33JREBMeFL21KH1G+uDpwkqgzk6D55Y07awzK CxN30SRf+gQcHgoPyr6N4v+Oom+ZzSIBJhM5kzgVqfD6UFTc34ZZwO5u35LR i+KwY5b9V6o4Ffc7Ic//3UP4wS5DlfBYKjg0qxixMSO8RH93V/4vKsyo+TXT clAcOsWSw0c/zMFB5res1cMMOpa1q1fbH9exEc0N2jwM85zf/q2X16JDc2tq krkOwz4Jp17UEl7TYebaz4HyKRSfV6JFD1rG0+HQeRubQwm4Xr2ZbfvETBoE 9eLzrqbPARbjob7JE3+P1HXvdnE3BEt+mx0yubNQcbzJd4MFrkvFFq44KFlB MeXsdvkCCmiSxVOj1fH3y2kD7mMnHKBvQcMx7+k0aGqP3g85QoG/aiOG3bdd gW32t+eR17j//SwT9I4L//wh8eIOMw/QGy/mGy0nwpLBUxfHFQzcBFk/37X3 gW2jX7Ld6idARVmzSo+IwUX6VXsNRX8IZN9OE+gdBluC0RfB1xhIzy4JFIsG g27ecp3nUjcwOw6SvvlgQHWxPdd0OAIcDrVbr/G0wMf410m8FzCIIxntXpcV A76Rt1XSW0rASy01fmgP7rvrJN6ICaN4ts+x4P0XMw1pZmUllDI0X1ad892V 7/EUtEfwD3+qQH0FqayDXwIzyfDqgrGG5AzSh/45DqkrOSTIeLS60/Ax8o9Y jNZpgigJVNXb9UkeyD8GspZ8GntGhL8//ybvrEI60GoTHJs8QIRZzbqXu7OR DmQ+qctUkjcJ9S40Qks0w9zNcc8YeclJCBb4LPrEE+lAvk515c9vcP9Yz8Vd chnFxcqlGIUA2QmweLvFqk0ZxZdi4ve5hQoCFB7Iq2M+gOLXetNNS7o8rgOH PN06BOlgKfBntaZgFmQ9MtMG5xjiXGfpn8EOPM41s1NVwxA+krc0Ve9OhY/0 rNd9+xHOLBbNkTFChTjnbcF/q1FePGkuZnr0fA5WO2fid/1Cv6/ywLcwaxsa EBzb2GSkGc710NWZ3yxNhxZ1rbw4hn2dZORysA+rdLCxWCgZTmM4N/m+46n4 /VR4MX5ffJcNztvNJS+W22+C2chF9zZh3C/9a9BbPU4BPcKsiaqAC1Q37N70 4CQJpByOqyxvoMB1deaJnYLeoDy7McRGaRJikq2y7lAwkHzL+0gmww/4pTki mwwIkPuO9bxUJwZLllKqIdsCgXDGyTZgYAQqVPMm08vxOHzcSyrwCYIW8p+q NxMDUHN2ikc5E4M9rbRYsa24/xo8uL73Xw88le+hmgZh4Euu5hx7FA663Koq FbMdEJ21nlnLDv+e6eQFl/1RoMux9N51qRVO+mpw7L2MgfFYqong5Rgwe1Le Y6xaD406atW2ihiMfGjIF4mOBUHNUcqNxLdwOnFkjSaIv3eevPC60ovmyy7f KpK8UjoNomYe3q8D0LnGvLcSVTvfT8F7QU277+VoXds8KLTX9QMZTg5k3bFf Q3xez+dxTbuBBPJW8ilvcpE/asgtf8jfSITXLiTpl0oo/mt6S1102iYhUPCS 5OwOFOdKImUzzzsnQKBdtz13DPF2z3S53tEBAtSZmkpGlaA4GtW7lldoTID5 kgmTqHQaBCmxDfN4zMIuk/CPfgJIh6yXFzogNzILqebuThYfUHzOh4hTRk9T IZ/doaTqKsLd/pSnXC6ggkgmYe0sDf0/w+Ds2DKWOVDjWNoyGYHw0tsP1546 zwHlKF/qoijCz1/j45Dtm4PLyg+DbzageLb42SMog/9e+ReN961XUTybuamP b/1HA0XhS5XRaQjv0XnFefsWHT5pzjySOs6w79b5DNmkL3SovvTXYsNXFP+5 Mr7DD/fSIXSDWalkFB7/fh8XBs+rgeF+Aw/NPXPAcfBSRYAL7kc2R3XzFpgA c9XzP6UHKHCA+yrviioFxDX3uEw9coTaIRH3MgUyfOivi3u1A8clI2OPJ3rC SHtiVaD6BPwgHu5TGMXATiLOwKzPH6RGnjlWdw7BXp9t73MKMJgAvmsln4NB /kGbv9CPLrDPGxtReYD7jk27HxT2RkDWmZzdoXKfQO3l3n27z2PQMrO7e5yK 83n27OHS33nwlm5w4NMuDHaQiylLDojPw4g8m3MdpmFTrLTQnyI0X2ZGupBv 7ToF/Us/NNIr0brnlZXqM3XLZLgbeftJuRjS890JBxvj/cgg3MB5YKYH1Q85 2uq4bq8nw9KGVtKHOlQ/PCNpPVgYRIKFnPqwlQCk55/eTNfYwkSCU+cuG59Q RvrknNPLHZkBRFBx5lznpYD0fDl/wMqXrUR4y9J7m4kH6Ra9LFriztBJWGkJ T3yxA+n5CR2r7EbWSbj03vLE6g/E/30aXlcEuCegQlE/q57BH8+/sxWQ4SFA 2kbuaI7ndFDiLTn2NHMWrvtSbv1eRnH+LlG9csyWCuSNl8YrGeaN30a2vU7q oMLU9m9T61tRPL+2iK83TMF1hezmfpV1CO94e4Hsco0GbSSttyIM7xu9nW7W NGE6qIcIyxS4orilFcV71H6nQ+Esk8DgSxS3SmJuPadNqbDvXdcq3x0KWCdH XVROtoCcb3p/jC0xOGpQViMnj3/+/5q60nAo+y+MIkREJBUqUlISr8p27CRr 9JIUoaikrFlLUckSFSqlbMm+q0SWKUuWki1LMTMGz5gNSVni//y/vL/5ei7X jOc+59znvp/5LcW+zn+CfGGqsuN3UygFzEL/ymnhfvrYd276aGAYKCQSF2Ie EkGtR/bc3h4MvKaM5LhrI6A+dzGw2mEAfDZ2Fxtk4L71oM5CSXUU6JzT7g33 /AqEX3cORVzGoKNlroLvC9pf1tR4TO16wwRcU+IQzIhD96KaGLq/2tM8DumT IxW336LfxRoJpBNe7WMQtvVjqFA04kly/7KGXxcFbvX1OpKUEU+6zGme0O4Z BaFK+2Xvv6h+JDNdClIHyeAewHVs6Quqk3Zzps5DIgl22XopyGUhnpS6v4Xb bIIIdgtvSVb+dOhX7nfc1EmDevcGzfBPbD5LPdWrRg33WU5LCj9c2NYLsr4r l3IwIDmvxh17jPLrOMfxha+VAVqZj1vjv6D8BobbhEA8E7ZvMpJy4EdxW6Fv 0Vb2LDCKJqw7oovy7tj1i8v/PM47YXUDhoZU+NB0qDH2xxUYd7k3P+M/BrXW wbFlIlRo2TP0gmsxGKaOlxaF3SLBpvU1JkZEnE8EZsm2UTfBPuCbkpfNEBCU DjSQizCITorWKg68AybrXbZb+neDpuB356hQDF5oNoy8vRELwocO63yUb4bw re6DEqYYFLhX/brclAA6p52++X0sBIlNQac6N2Jg2O35WcgU8cyS/nuh7vAJ 6Az0o06Xof1l9z5KCxNujUM3IeqB8jv0O4Xa13CT2AScZ3gPHopxQnzigtGq epIocEzM2UJBEPHGWN0eWu3DUUgtv9NutMB2j6Q5j7H1ThLE/d4XYXQN4ar4 Y7xBeBcRGMyWm9MuLIiRM2j58YYG6/yOf60moTw61tr4ZGF00B4ylP/FNi+j FFtNSksZIHrpixU2gT43K8Vqv4M/E+aWTc6DLFv/JuwMktbG+5fPVyb4JMpj gVaghd0XFoSep39QeEQFbdPPOSay0lDQ5plNptBAiV/6+NqzVPD+3fW3gvss SFLNZg+PToDey84xgjIVcte7nYz+6AeOuvfP5IT0QF9Pn8fGCAzUCkULvw7E ACblGq/O+wmW+JZtJa0w8D+zoJ4QlAD1F3eILReVAfFi9SfKVgzKi7FHWktI z5BW8+7YnT4BxiYLV0k1aH8ZLfLDUED2OLz7t2KHYxV6P7x8RNk6rGgMph+E OXT4IZ2f4fwrWLaCArRfKb23pJHOlz2pmrFcPgq2qlfOfg9B+XLj5dRaqSJD eusLnkFLpGcKF64nvsV9j4iJio/iJsRzd7SPp4l8wvnpw6qrbTQ6hNfq+4je oYHk0HH52yJIt4R/q3RdsaKDJGH0nxQTlN85sxRvnwEWZJmtyMvXs+le3iqy wQCue31rvPW98T5L9LcP2O4MFZnHZ5hjGCQXTdqXaVMhvmNxu84+H0g+Vj0b 8pcC707xPSkQoEKSIkScUwoFgnFwS8xaErS+fuG6dxCDZeP97RdlI4BD70o5 v9Ug+H0m553LwUB7sjCwVCoKdpEOjP7y6oJ0Q5L9vD8Gwu1eImm742C/tdC0 uXEjrFbudNpogAHlUmCJpeh9SKNcjWQoZINVk9p09XoMhuamVpMfob7bGOGz FOo8Afa5TAeuXLS/jKPjY3vK7CiY2H2aTr6GeHJ4j9wZwgIZshjDrYvWiCct vg/lRi+ToOSGslbhPsSTBMOZMwxuElDDwt5r/0X1XnmPGWrDQwRDCdenKhMs iAz1vNngQAexrXs39msj/O25Vko+kFmg9ygF633Ndq/WssZ9mTw6TK/orcG8 qLjvzdzeI3oGaq+LPxeqxMDt9kSzjiYVzL1Td5zK94EKymUPj88UuNJ2iPsY P95HvYSgyVehMBu/fbXBMBHOvePsoH7DdZGUq96Z0xFQ8lxTjntmAB5srWYI ZGPwjSN76YdDFOznD7EMFuwCXaKS/11fDLy3K2at8kDzy90uY885bBRiuCfD Lhch3NozV0o5WLjf3CbTsD4c4VavW07X+EmCco2HqRwnEW61spsoSgtEaNS8 YGCwhw678halZ+tp4M1KDXrZj/B5tl9ePXeaDssePk5TrxD/HHwrFdL1jgGu pGCp5mG2dYwl3orC15nQjMlfuiuJ4j/rWkamjVnwaqCz6pU14h/7+BGq0aYe WPrU35gejsEiYYNzi0QsOHuUK6+zbQELb+7mAXMct1Vc29ySE0CG+3Glql4p 9MZu35a6GQNeLQdPz01senKpbYg3aQKeS0ZlyB9G7wdatpwTUkkZB8MV/b0F Qej9QPkWFkMvE+9z6cy4nnbEG9Hd9x805VCgjES5mRmIeIMuc//9+KtRWL96 k5lBPgkGU91j3ubgc3lReR1pCuH2cyU1+Bnev6+eLEr9rWO7P5c5MRuUwYBD +aVZ0r8RPiutXiSFs0x4+lnhrZcqis/oSHyu38uCHPsbbf0XEW6kDTJxtQss qIoMEhh6jurWKOuAa91+Oqw+Hn+6D/fL/JpYp+kNV1B9IvyYqYJBQA8Hs+0f Ksx1x0mxfvmCKQfPjfajuN8rzz7cuooKdoXNrkZzYf99ntwPvqGJd+Og+PBy bV8g8o/BSS/mVBrGICaXWixORrqo9ehTG/FmChwlSPOvRCNdpFDzxG9nyyi0 R3KODSgivt3I91zP5TMZ/vi/92etoLpNYxronOklQbqS/diaTlS38l3W1+eG iPCSu3KgNp0OZv63o5N06GAhKyq0+gTbOauadXZNJmOgPadkfUWYCsIFMmI5 XiGQUeL4h2BHAs3LX2eWcL/Dm3kh+AfhJpQQ9pN2zQyCwcWeQ34FGBzrfSM6 9Rr3O04leQyRbnDhGn4vEoz7o2OEB8X1sRB+4y75kW8TdEV6mfXjfoeDv2FI fzQB0hJMJMiTeSCoTqyIEsPgufNwhrY7qs9sjRstZX4TwHOUa8MhJeR3hlql vu6RJAHjvMCT0UKU//o6vpbzm4ngWctlFp3IgopHWxtSntEA4wztX15Cz5uf sKX4pTsdWLxhkz+VUTzwbnupeTIDtgt3TBxdxfY+k1PHMEeGBbsen7CdZrvn PjVGSLqByYK/gtHB/XmormKtDy5cvkSHEAXqgRFcz8cLNAXFm7pAYKzo5ut+ GFzaO+vAc5gKWRli27KtfCF85p2fZBwFbOouS6/7/zo93UYvCcswoCvaJodl EGHg6WQhHdfz5g/NTlPyIv77nsk1MqrafRR4fOB9h+IGVD+f+KSsjPpHQaHR vzSLgXjPp88iuHSYDENtXk856lH9KEuEJltQSJBd6a8bmYTqxzukUlmURgSN dKH4G+foULNzQchPhQ7DPi/uyp1je5/QQntS/JcOeZ2FK9SnCLftW9Vrl5sY EBjqNJTShfJUu+PnV65YJnz3z25OFmQ7//9gIK06kQSuz5zO8pEwCLnVzt3l dxOIjm4vBn2HgL55Sb+sGIM5hZ1zTFdc9/42NpVM7galc0O6DmG4Loq+OF/t GQuYnxR/t2szCC1W8Q3gunfs9pnl7hrcX5vXNLx8UwTerpy0BxIYdFk8u3Nc B9WbxLOdXT8iJ6DrgOGQkirSvSmaibn9d8fB9J8iingw0r1WxOTzpolj8Hrg eqiKXg9wZpUe76ugweNfE/ofKAgf48cugxljdLDhPFg3V47wMbNZdSi7iAHm Rslnfk4iHKhaU7e3+jCh9GSuSKg8ivuET/07oI7X4aZcvfrTqA71qAIStsMs EPbpSJnEdWlKkLPH+1gx4Pi9t33dLA3irv8T3YHr0lsX+XfxvHUD51Hr6ORd 5XD4tb7dKykMdPZIWEfMID3519F7TOXlBJhytZ2X1kZ6cm7poH9c3jjofhrw 1w1CelL8hLGPRtkYHHFreu5vh+ZCXry4L/MNBZatbxp95URzIcZL7AnP21Hw MoiTEPJE/FajweAXrSWDmIyA1TCMwfcPItxvzOlQ23s7kXyU7RzX+DST21Q6 ENLSI0R9qFBFfDh/9bkTROeer3CawyDYhPtTJFCh3FP/ze7VPpBRcbw3WmAM NEOv2l0SpEJAQRfPIG8oRO3W5W7FeWSDnn74FK73Uup5WZhwBETu+rv96pVB SH1XsFctF/dN148oT/NFgWKzxNqG+C5Iek483BaAwTbJTYqZG+JA+N7sO8eI RkhctyP+G673tsTJVJXz3UfzLbBW/gQXGb5ZaGs0SKP+am5KHJ7nI8HWQpXX Tmzrg249jpOL4SeCWLelfX4fCx7f/vhY5QwduER7Oc4dQjgsGK3xIGAsSDv2 QPlbCeKf/TlVhi0xdFATE091vUSFjlnVz8rFZ0CCJ8mxOREDbODS/Ux1/O+j T2RwLvtAysUkr4ZCCrgY2oqU8FJBf62B343FUPA6rdHhXE8EmT0BWhf7MBAc sOvMiET8I6MlLz4wTobWAON9fGmIT/4UPNJtpJGgODDysl4g2zoNq4no9Bki LDNrqGQTOjSF8l0o+E2Hni0JSox01BcFFwqeYfUMYO5jLJX0s61fv3Dg+t1b TLBWcpcU3oDi5SOqstcsWDBR5ea/+SjqizQmljo11AxKr508TphhYNdYKvQs NwGIYhptqyxLYMef9TwSkhgwDRfniYqIB6zN5v/9GTsBb7PHa/PV0Pq9UsWw 79wPxsFYcj6KNI900c1lQn7T0zGwC13PHbkG+d9gf8uMA+kUiNktni5QMQTM tNgrzUU0KPgjsLtrEuVxq1l43osROoSZb2LNV7HtO07zF0/IYcCHPzsi+KbR 8/pFKqlmXWTCTrELZ3/tRfEy50gRc1UWYIfE7pidRTh46ajlmy+xQD0i3uTC E3weEXZqHmSQtbPMSza6i9DhyAWXWWt3KnywCQrN2eKG+owhk/OubByUimQl BeaRnjG56lvxpmoMJnns5Zu2oH5/x7B3vVlHATl+610eTWgeOSR9uy1ePwov 3Jqv+Zmhfj+f0Zit3kQG3jYKeVwa+ceBE7uTJjtI8MTzyJsjDAwSn7Ub7zSm A8/fdmvfYwi3t4HRyTkKY6BVZdPDXIf7iIJ5wYbqEBBnfL5mdJiE68DoqoDv GHwprVIdpd6EtF/iXFalg7jv1VHpzfv/eafhGVeIuG55SHGw+9oFIVYji154 veq/vuSUOxkLnWvqLIIXG6H8UwvDzgiDuLYrrSFzCf99/46CtoAFESLUmuzu SqlkQXOKXnZuBg16lv/9yZpD/yddw6Hb9RkDCk9B0z9svuvAtoK7qvIs8Ahk CJ31QfmCzo19dbMsOPnpxoeBLLZzVBYqijZa0qEOalocLlDhmKydHGPMBXpE Hgyo2WIwHR4se/4gHq/++sI00xfcgojBvp4UMDwco+jJjcevGp0vzkB6dTD3 h34e7sN8gpm0JEuUrwXySRe1zlGYz9I4CoIoXx8vBwzf7SMDTSaZ988I6neP CGfat++4fpg5J9pUhvq9LTuiP3KUCH42LqoykXRoiTet51QZgsf6HtqiRRjI crAiL8fdwedP6EKEbTeYVHy//joEgwSmeFNlcizsX7QJqKQ1wTRsyLc/goGv yXrG2k4c/8tcDP2vBVD3eeqL4EYM3tppibXaoP4dodmYt4ROAL0283e5Mto3 dNMsPyD/xjg4WrnqmC18ArFXfepj72hwa4ZwumIY5cubYsCfTaPD7krb+J+F qB8J3PdP1FQwoP8hr84PCtt+/98lA8mBTNDMwOq4tqG4Sprj07O6LHCf11xW sWc7Z+zBaKRDPd6nzmsZF5Kp4C34fJZ6ShZkZmdfnP2nDO5sU9HcvhUDedWq 4d/c6Lk+Fjx3lkqdALd7u29naqD94yMClnrOGeOgT7n3NWAezWWK+ub9dXlj kNOgKi73APVpinLPTYcSCvQ/KXdT10JzudrYJn+ueBT0ZG3KcmNIIEuzJxjb 0iGgSOebtSHCh5iqu/9aLwZlGzqxES0quO+ruPevvQ/cm5LZcIlJAXV4Okhb S4XcgvyVmeOhsHS2PMZ8iQjhe5aMLgxgcOaLXS7zYARcOTmq/1xpEEzJErse vcJ9va1IvbdKFOxaNKtWsOiCIjrpqrw/7nPDPv55po18fS7M76lZIEFUhSw8 0WLz6R8tx4icJCi1aP64VZBt/X6kZc9mLiJ4nAoYrv7Ngv8Bk7Kr1Q== "]]}, Axes->False, AxesOrigin->{0, 0}, Frame->False, FrameTicks->None, ImageSize->{152., 152.}, PlotRange->2, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], "Text"]}], FontSize->9]], "Text", CellChangeTimes->{{3.4793163661497927`*^9, 3.479316369221509*^9}, { 3.479472571563088*^9, 3.479472572218384*^9}, {3.481061331227906*^9, 3.481061347475319*^9}}, TextAlignment->Center], Cell[TextData[{ StyleBox["This graphic", FontColor->GrayLevel[0]], Cell[BoxData[ FormBox[ StyleBox[ SuperscriptBox["", RowBox[{"[", "12", "]"}]], FontSize->7, FontColor->GrayLevel[0]], TraditionalForm]], FormatType->"TraditionalForm"], StyleBox[" represents our circular pursuit curve of a pursuer and a pursued \ when the pursuer is traveling slower than the pursued. As you can see, the \ pursuer travels along a circular path inside the path of the pursued and this \ will continue since the pursued will never be caught.", FontColor->GrayLevel[0]] }], "Text", CellFrame->{{0, 0}, {2, 0}}, CellChangeTimes->{{3.47888521323517*^9, 3.478885347559658*^9}, { 3.479315445464924*^9, 3.479315613271167*^9}, {3.481061354985265*^9, 3.4810613642755613`*^9}}, FontColor->RGBColor[1, 0, 0]], Cell["4. Cyclic Pursuit Curves", "Text", CellChangeTimes->{{3.4784455815039463`*^9, 3.478445626566683*^9}, { 3.4809783126755466`*^9, 3.480978313999103*^9}, 3.481061988555738*^9}], Cell["\<\ \tThis category involves pursuits that feature more than 2 objects, all \ pursuing each other. Some assumptions we must consider though is that every \ object runs in the same clockwise or counter-clockwise direction towards \ another object closest to them, and they all travel at the same speed. So, \ for example, if we have three objects in a specific pursuit, the starting \ points of the objects would form the vertices of a triangle. From this, they \ would all pursue in the same direction eventually meeting at the capture \ point. \ \>", "Text", CellChangeTimes->{{3.4809747223362427`*^9, 3.48097473033811*^9}, { 3.480974775900895*^9, 3.480974825682489*^9}, {3.4809748783793383`*^9, 3.4809749214022083`*^9}, {3.480974964227635*^9, 3.48097500388957*^9}, { 3.4809750638116903`*^9, 3.480975116315633*^9}, 3.480975268092958*^9, { 3.480976306615809*^9, 3.480976317020706*^9}, {3.4809770798198357`*^9, 3.4809770898336678`*^9}}], Cell[BoxData[{ GraphicsBox[{ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, { 0.8660254037844386, -0.5}}], { GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, {0.8660254037844386, -0.5}}], {{{ 0.985644595148998, -0.16883344471273387`}, {0.16883344471273387`, 0.985644595148998}}, {0., 0.}}], {{{0.7824281048041661, 0.}, {0., 0.7824281048041661}}, {0., 0.}}], GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, {0.8660254037844386, -0.5}}], {{{ 0.9429905358928645, -0.3328195445229866}, {0.3328195445229866, 0.9429905358928645}}, {0., 0.}}], {{{0.6121937391874391, 0.}, {0., 0.6121937391874391}}, {0., 0.}}], GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, {0.8660254037844386, -0.5}}], {{{ 0.8732624548099202, -0.4872501257253323}, {0.4872501257253323, 0.8732624548099202}}, {0., 0.}}], {{{0.47899758712540397`, 0.}, {0., 0.47899758712540397`}}, {0., 0.}}], GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, {0.8660254037844386, -0.5}}], {{{ 0.7784623015670235, -0.6276913612907005}, {0.6276913612907005, 0.7784623015670235}}, {0., 0.}}], {{{0.3747811743002982, 0.}, {0., 0.3747811743002982}}, {0., 0.}}], GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, {0.8660254037844386, -0.5}}], {{{ 0.6613118653236519, -0.7501110696304595}, {0.7501110696304595, 0.6613118653236519}}, {0., 0.}}], {{{0.2932393239240622, 0.}, {0., 0.2932393239240622}}, {0., 0.}}], GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, {0.8660254037844386, -0.5}}], {{{ 0.5251746299612958, -0.8509944817946917}, {0.8509944817946917, 0.5251746299612958}}, {0., 0.}}], {{{0.22943868847195897`, 0.}, {0., 0.22943868847195897`}}, {0., 0.}}], GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, {0.8660254037844386, -0.5}}], {{{ 0.3739592057378006, -0.9274451533346613}, {0.9274451533346613, 0.3739592057378006}}, {0., 0.}}], {{{0.17951927818986835`, 0.}, {0., 0.17951927818986835`}}, {0., 0.}}], GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, {0.8660254037844386, -0.5}}], {{{ 0.2120071099220547, -0.9772681235681935}, {0.9772681235681935, 0.2120071099220547}}, {0., 0.}}], {{{0.14046092860991052`, 0.}, {0., 0.14046092860991052`}}, {0., 0.}}], GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, {0.8660254037844386, -0.5}}], {{{ 0.043968118317864895`, -0.9990329346781247}, {0.9990329346781247, 0.043968118317864895`}}, {0., 0.}}], {{{0.10990057817128557`, 0.}, {0., 0.10990057817128557`}}, {0., 0.}}], GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, {0.8660254037844386, -0.5}}], {{{-0.12533323356430415`, \ -0.9921147013144779}, {0.9921147013144779, -0.12533323356430415`}}, {0., 0.}}], {{{0.08598930109544109, 0.}, {0., 0.08598930109544109}}, {0., 0.}}], GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, {0.8660254037844386, -0.5}}], {{{-0.2910361668282716, \ -0.9567120515588305}, {0.9567120515588305, -0.2910361668282716}}, {0., 0.}}], {{{0.06728044588954078, 0.}, {0., 0.06728044588954078}}, {0., 0.}}], GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.8660254037844386, -0.5}, {-0.8660254037844386, -0.5}, {0, 1}, {0.8660254037844386, -0.5}}], {{{-0.4483832160900321, \ -0.8938414241512638}, {0.8938414241512638, -0.4483832160900321}}, {0., 0.}}], {{{0.05264211176773264, 0.}, {0., 0.05264211176773264}}, {0., 0.}}], GeometricTransformationBox[ GeometricTransformationBox[ LineBox[{{0.866025403