(* Content-type: application/mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 6.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 145, 7] NotebookDataLength[ 1024073, 16994] NotebookOptionsPosition[ 1022179, 16930] NotebookOutlinePosition[ 1022914, 16956] CellTagsIndexPosition[ 1022871, 16953] WindowFrame->Normal ContainsDynamic->False*) (* Beginning of Notebook Content *) Notebook[{ Cell[BoxData[ StyleBox[ RowBox[{"8.1", ".6", " ", RowBox[{ StyleBox["Mathematica", FontSlant->"Italic"], ":", "\:8ef8\:306b\:975e\:5bfe\:79f0\:306a\:5186\:5f62\:819c\:306e\:632f\:52d5\ "}]}], FontSize->18]], "Input"], Cell["\:89e3\:3092\:6c42\:3081\:308b\:8a08\:7b97\:4f8b", "Input", CellDingbat->"\[FilledSmallSquare]", CellChangeTimes->{{3.4112868909502277`*^9, 3.411286897713228*^9}}], Cell[BoxData[{ RowBox[{ RowBox[{ SubscriptBox["r", "0"], "=", "1"}], ";", RowBox[{"c", "=", "1"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"f", "[", RowBox[{"r_", ",", "\[Theta]_"}], "]"}], ":=", RowBox[{ RowBox[{"(", RowBox[{"r", "-", RowBox[{"r", "^", "2"}]}], ")"}], RowBox[{"Sin", "[", "\[Theta]", "]"}]}]}], ";", RowBox[{ RowBox[{"g", "[", RowBox[{"r_", ",", "\[Theta]_"}], "]"}], ":=", RowBox[{"0.5", RowBox[{"(", RowBox[{"1", "-", RowBox[{"Cos", "[", "\[Theta]", "]"}]}], ")"}], "r"}]}], ";"}]}], "Input", CellChangeTimes->{{3.411288157043228*^9, 3.411288161014228*^9}}, CellLabel->"In[1]:="], Cell[BoxData[ RowBox[{ RowBox[{"zc1", "=", RowBox[{"RevolutionPlot3D", "[", RowBox[{ RowBox[{"f", "[", RowBox[{"r", ",", "\[Theta]"}], "]"}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"\[Theta]", ",", "0", ",", RowBox[{"2", " ", "\[Pi]"}]}], "}"}]}], "]"}]}], ";", RowBox[{"zc2", "=", RowBox[{"RevolutionPlot3D", "[", RowBox[{ RowBox[{"g", "[", RowBox[{"r", ",", "\[Theta]"}], "]"}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"\[Theta]", ",", "0", ",", RowBox[{"2", " ", "\[Pi]"}]}], "}"}]}], "]"}]}], ";", RowBox[{"Show", "[", RowBox[{"GraphicsRow", "[", RowBox[{"{", RowBox[{"zc1", ",", "zc2"}], "}"}], "]"}], "]"}], ";", RowBox[{"(*", " ", RowBox[{"zc1", ",", RowBox[{ "zc2", " ", "\:306f\:6761\:4ef6\:306e\:95a2\:6570\:3092\:56f3\:793a\:3059\:308b\:3082\ \:306e\:3067\:ff0c\:4ee5\:4e0b\:306e\:8a08\:7b97\:306b\:306f\:4e0d\:8981"}]}], "*)"}]}]], "Input", CellChangeTimes->{{3.410054682490525*^9, 3.410054687534525*^9}, 3.410056587929525*^9, {3.4111271800933266`*^9, 3.4111272306923265`*^9}, { 3.4112881714492283`*^9, 3.411288180728228*^9}}, CellLabel->"In[3]:="], Cell[BoxData[""], "Input", CellChangeTimes->{3.4112881530092278`*^9}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"\[Alpha]", "=", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"BesselJZero", "[", RowBox[{"m", ",", "k"}], "]"}], ",", RowBox[{"{", RowBox[{"k", ",", "10"}], "}"}]}], "]"}], ",", RowBox[{"{", RowBox[{"m", ",", "0", ",", "5"}], "}"}]}], "]"}], "//", "N"}]}], ";", RowBox[{"Short", "[", RowBox[{"\[Alpha]", ",", "4"}], "]"}]}]], "Input", CellChangeTimes->{{3.4100550917295246`*^9, 3.4100551783725247`*^9}, { 3.410055269627525*^9, 3.4100553076565247`*^9}}, CellLabel->"In[4]:="], Cell[BoxData[ TagBox[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "2.404825557695773`", ",", "5.52007811028631`", ",", "8.653727912911013`", ",", "11.791534439014281`", ",", "14.930917708487787`", ",", "18.071063967910924`", ",", "21.21163662987926`", ",", "24.352471530749302`", ",", "27.493479132040253`", ",", "30.634606468431976`"}], "}"}], ",", RowBox[{"{", RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], "}"}], ",", RowBox[{"\[LeftSkeleton]", "3", "\[RightSkeleton]"}], ",", RowBox[{"{", RowBox[{"8.771483815959943`", ",", "12.338604197466944`", ",", RowBox[{"\[LeftSkeleton]", "7", "\[RightSkeleton]"}], ",", "38.15986856196713`"}], "}"}]}], "}"}], Short[#, 4]& ]], "Output", CellChangeTimes->{{3.410055145117525*^9, 3.410055179443525*^9}, 3.410055273055525*^9, 3.410055310319525*^9, 3.4111267839963264`*^9, 3.4113791986078*^9, 3.4113800949698*^9, 3.4113815503968*^9, 3.413960498153*^9}, CellLabel->"Out[4]//Short="] }, Open ]], Cell[BoxData[ RowBox[{ SubscriptBox["\[Alpha]", "mn"], " \:3000", "\:306f", "\:3000 ", RowBox[{"a", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], RowBox[{"\:3000", SubscriptBox[ "\:3068\:8868\:3055\:308c\:307e\:3059\:ff0e\:4f8b\:3048\:3070\:ff0cJ", "02"]}], RowBox[{"(", "x", ")"}], " ", "\:306f", " ", RowBox[{"a", "[", RowBox[{"[", RowBox[{"1", ",", "2"}], "]"}], "]"}], " ", "\:3067\:3059\:ff0e"}]], "Input"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Table", "[", RowBox[{ FractionBox["2", RowBox[{"\[Pi]", " ", SuperscriptBox[ SubscriptBox["r", "0"], "2"], SuperscriptBox[ RowBox[{"BesselJ", "[", RowBox[{ RowBox[{"m", "+", "1"}], ",", RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}]}], "]"}], "2"]}]], ",", RowBox[{"{", RowBox[{"m", ",", "0", ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{"n", ",", "1", ",", "5"}], "}"}]}], "]"}], ";", RowBox[{"Short", "[", RowBox[{"\[Alpha]", ",", "4"}], "]"}]}]], "Input", CellLabel->"In[5]:="], Cell[BoxData[ TagBox[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "2.404825557695773`", ",", "5.52007811028631`", ",", "8.653727912911013`", ",", "11.791534439014281`", ",", "14.930917708487787`", ",", "18.071063967910924`", ",", "21.21163662987926`", ",", "24.352471530749302`", ",", "27.493479132040253`", ",", "30.634606468431976`"}], "}"}], ",", RowBox[{"{", RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], "}"}], ",", RowBox[{"\[LeftSkeleton]", "3", "\[RightSkeleton]"}], ",", RowBox[{"{", RowBox[{"8.771483815959943`", ",", "12.338604197466944`", ",", RowBox[{"\[LeftSkeleton]", "7", "\[RightSkeleton]"}], ",", "38.15986856196713`"}], "}"}]}], "}"}], Short[#, 4]& ]], "Output", CellChangeTimes->{3.4100555556305246`*^9, 3.411126788359327*^9, 3.4113793255238*^9, 3.4113800987958*^9, 3.4113815531228*^9, 3.413960501678*^9}, CellLabel->"Out[5]//Short="] }, Open ]], Cell["", "PageBreak", PageBreakBelow->True], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"a", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{ FractionBox["2", RowBox[{"\[Pi]", " ", SuperscriptBox[ SubscriptBox["r", "0"], "2"], SuperscriptBox[ RowBox[{"BesselJ", "[", RowBox[{ RowBox[{"m", "+", "1"}], ",", RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}]}], "]"}], "2"]}]], " ", RowBox[{"N", "[", RowBox[{"Integrate", "[", RowBox[{ RowBox[{"r", " ", RowBox[{"f", "[", RowBox[{"r", ",", "\[Theta]"}], "]"}], " ", RowBox[{"Cos", "[", RowBox[{"m", " ", "\[Theta]"}], "]"}], RowBox[{"BesselJ", "[", RowBox[{"m", ",", RowBox[{ FractionBox[ RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], SubscriptBox["r", "0"]], " ", "r"}]}], "]"}]}], " ", ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", SubscriptBox["r", "0"]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Theta]", ",", "0", ",", RowBox[{"2", "\[Pi]"}]}], "}"}]}], "]"}], "]"}]}], ",", RowBox[{"{", RowBox[{"m", ",", "0", ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{"n", ",", "1", ",", "5"}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.411127861552327*^9, 3.4111278642983265`*^9}, { 3.4113795600098*^9, 3.4113795611778*^9}, {3.4113798607178*^9, 3.4113798688928003`*^9}, {3.4113799379648*^9, 3.4113799554428*^9}, { 3.4113799928878*^9, 3.4113800086158*^9}}, CellLabel->"In[6]:="], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.410055568980525*^9, 3.4111268043613267`*^9, 3.4111278690983267`*^9, 3.4113793697678003`*^9, 3.4113795674588003`*^9, 3.4113798989108*^9, 3.4113799643838*^9, 3.4113800143508*^9, 3.4113801140078*^9, 3.4113815609737997`*^9, 3.4139605092*^9}, CellLabel->"Out[6]="] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"b", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{ FractionBox["2", RowBox[{"\[Pi]", " ", SuperscriptBox[ SubscriptBox["r", "0"], "2"], SuperscriptBox[ RowBox[{"BesselJ", "[", RowBox[{ RowBox[{"m", "+", "1"}], ",", RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}]}], "]"}], "2"]}]], " ", RowBox[{"N", "[", RowBox[{"Integrate", "[", RowBox[{ RowBox[{"r", " ", RowBox[{"f", "[", RowBox[{"r", ",", "\[Theta]"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{"m", " ", "\[Theta]"}], "]"}], RowBox[{"BesselJ", "[", RowBox[{"m", ",", RowBox[{ FractionBox[ RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], SubscriptBox["r", "0"]], " ", "r"}]}], "]"}]}], " ", ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", SubscriptBox["r", "0"]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Theta]", ",", "0", ",", RowBox[{"2", "\[Pi]"}]}], "}"}]}], "]"}], "]"}]}], ",", RowBox[{"{", RowBox[{"m", ",", "0", ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{"n", ",", "1", ",", "5"}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.411127848231327*^9, 3.4111278509543266`*^9}, { 3.4113795723538*^9, 3.4113795734658003`*^9}}, CellLabel->"In[7]:="], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.45221701454909913`", ",", RowBox[{"-", "0.03151859004456829`"}], ",", "0.03201788529582275`", ",", RowBox[{"-", "0.007688635864056763`"}], ",", "0.008972084658417081`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.410055599437525*^9, 3.411126828059327*^9, 3.411126884543327*^9, 3.411127855944327*^9, 3.4113793789398003`*^9, 3.4113795781268*^9, 3.4113801235098*^9, 3.4113815743188*^9, 3.413960518712*^9}, CellLabel->"Out[7]="] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"A", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{ FractionBox["2", RowBox[{"\[Pi]", " ", "c", " ", SubscriptBox["r", "0"], RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], " ", SuperscriptBox[ RowBox[{"BesselJ", "[", RowBox[{ RowBox[{"m", "+", "1"}], ",", RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}]}], "]"}], "2"]}]], " ", RowBox[{"N", "[", RowBox[{"Integrate", "[", RowBox[{ RowBox[{"r", " ", RowBox[{"g", "[", RowBox[{"r", ",", "\[Theta]"}], "]"}], " ", RowBox[{"Cos", "[", RowBox[{"m", " ", "\[Theta]"}], "]"}], RowBox[{"BesselJ", "[", RowBox[{"m", ",", RowBox[{ FractionBox[ RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], SubscriptBox["r", "0"]], " ", "r"}]}], "]"}]}], " ", ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", SubscriptBox["r", "0"]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Theta]", ",", "0", ",", RowBox[{"2", "\[Pi]"}]}], "}"}]}], "]"}], "]"}]}], ",", RowBox[{"{", RowBox[{"m", ",", "0", ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{"n", ",", "1", ",", "5"}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.411127830101327*^9, 3.4111278330323267`*^9}, { 3.4113795819398003`*^9, 3.4113795830438004`*^9}}, CellLabel->"In[8]:="], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.3399228987597981`", ",", RowBox[{"-", "0.20533914416976995`"}], ",", "0.09224753325160581`", ",", RowBox[{"-", "0.06335120472983202`"}], ",", "0.042297656655939625`"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "0.16911026422504696`"}], ",", "0.06769915066881528`", ",", RowBox[{"-", "0.038693223946509044`"}], ",", "0.025797577635224004`", ",", RowBox[{"-", "0.01876262338300968`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.410055618003525*^9, 3.4111268973483267`*^9, 3.411127838863327*^9, 3.4113793904298*^9, 3.4113795881138*^9, 3.4113801361328*^9, 3.4113815815518*^9, 3.413960523324*^9}, CellLabel->"Out[8]="] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"B", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{ FractionBox["2", RowBox[{"\[Pi]", " ", "c", " ", SubscriptBox["r", "0"], RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], " ", SuperscriptBox[ RowBox[{"BesselJ", "[", RowBox[{ RowBox[{"m", "+", "1"}], ",", RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}]}], "]"}], "2"]}]], " ", RowBox[{"N", "[", RowBox[{"Integrate", "[", RowBox[{ RowBox[{"r", " ", RowBox[{"g", "[", RowBox[{"r", ",", "\[Theta]"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{"m", " ", "\[Theta]"}], "]"}], RowBox[{"BesselJ", "[", RowBox[{"m", ",", RowBox[{ FractionBox[ RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], SubscriptBox["r", "0"]], " ", "r"}]}], "]"}]}], " ", ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", SubscriptBox["r", "0"]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Theta]", ",", "0", ",", RowBox[{"2", "\[Pi]"}]}], "}"}]}], "]"}], "]"}]}], ",", RowBox[{"{", RowBox[{"m", ",", "0", ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{"n", ",", "1", ",", "5"}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.4111277925063267`*^9, 3.411127814313327*^9}, 3.4113796103698*^9, {3.4113798776628*^9, 3.4113798819128*^9}, 3.4113800372588*^9}, CellLabel->"In[9]:="], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{ 3.410055628758525*^9, 3.411126910983327*^9, {3.411127804076327*^9, 3.411127819754327*^9}, 3.4113793968348*^9, {3.4113795965248003`*^9, 3.4113796134628*^9}, 3.4113798891528*^9, 3.4113800422258*^9, 3.4113801464918003`*^9, 3.4113815882528*^9, 3.413960529741*^9}, CellLabel->"Out[9]="] }, Open ]], Cell[BoxData[{ RowBox[{ RowBox[{"u", "[", RowBox[{"r_", ",", "\[Theta]_", ",", "t_"}], "]"}], ":=", RowBox[{"Sum", "[", RowBox[{ RowBox[{ RowBox[{"Cos", "[", RowBox[{"c", " ", FractionBox[ RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], SubscriptBox["r", "0"]], " ", "t"}], "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"a", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], " ", RowBox[{"Cos", "[", RowBox[{"m", " ", "\[Theta]"}], "]"}]}], "+", RowBox[{ RowBox[{"b", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{"m", " ", "\[Theta]"}], "]"}]}]}], ")"}], RowBox[{"BesselJ", "[", RowBox[{"m", ",", RowBox[{ FractionBox[ RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], SubscriptBox["r", "0"]], " ", "r"}]}], "]"}]}], ",", RowBox[{"{", RowBox[{"m", ",", "0", ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{"n", ",", "1", ",", "5"}], "}"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"+", RowBox[{"Sum", "[", RowBox[{ RowBox[{ RowBox[{"Sin", "[", RowBox[{"c", " ", FractionBox[ RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], SubscriptBox["r", "0"]], " ", "t"}], "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"A", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], " ", RowBox[{"Cos", "[", RowBox[{"m", " ", "\[Theta]"}], "]"}]}], "+", RowBox[{ RowBox[{"B", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{"m", " ", "\[Theta]"}], "]"}]}]}], ")"}], RowBox[{"BesselJ", "[", RowBox[{"m", ",", RowBox[{ FractionBox[ RowBox[{"\[Alpha]", "[", RowBox[{"[", RowBox[{ RowBox[{"m", "+", "1"}], ",", "n"}], "]"}], "]"}], SubscriptBox["r", "0"]], " ", "r"}]}], "]"}]}], ",", RowBox[{"{", RowBox[{"m", ",", "0", ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{"n", ",", "1", ",", "5"}], "}"}]}], "]"}]}], ";"}]}], "Input", CellChangeTimes->{{3.4113794616738*^9, 3.4113794676288*^9}}, CellLabel->"In[10]:="], Cell["", "PageBreak", PageBreakBelow->True], Cell[BoxData[ RowBox[{ RowBox[{"zu", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"RevolutionPlot3D", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"u", "[", RowBox[{"r", ",", "\[Theta]", ",", "t"}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"\[Theta]", ",", "0", ",", RowBox[{"2", " ", "\[Pi]"}]}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "0.5"}], ",", "0.5"}], "}"}]}], "}"}]}], ",", RowBox[{"ViewPoint", "\[Rule]", RowBox[{"{", RowBox[{"5", ",", "3", ",", "2"}], "}"}]}], ",", RowBox[{"BoxRatios", "\[Rule]", RowBox[{"{", RowBox[{"1", ",", "1", ",", "0.5"}], "}"}]}], ",", RowBox[{"Ticks", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "0.5"}], ",", "0", ",", "0.5"}], "}"}], ",", "Automatic", ",", RowBox[{"{", RowBox[{ RowBox[{"-", "0.5"}], ",", "0", ",", "0.5"}], "}"}]}], "}"}]}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotLabel", "\[Rule]", RowBox[{"\"\\"", "<>", RowBox[{"ToString", "[", "t", "]"}]}]}]}], "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1.4`", ",", "0.2"}], "}"}]}], "]"}]}], ";"}]], "Input", CellChangeTimes->{ 3.410055682772525*^9, {3.4100560375765247`*^9, 3.4100560455715246`*^9}, { 3.410056204409525*^9, 3.410056225575525*^9}, 3.4100563737315245`*^9, 3.4111249634593267`*^9, 3.4111267295723267`*^9, {3.4111274015513268`*^9, 3.4111274305653267`*^9}, 3.4111274853933268`*^9}, CellLabel->"In[12]:="], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"GraphicsGrid", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"zu", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], ",", RowBox[{ "zu", "\[LeftDoubleBracket]", "5", "\[RightDoubleBracket]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"zu", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}], ",", RowBox[{ "zu", "\[LeftDoubleBracket]", "6", "\[RightDoubleBracket]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"zu", "\[LeftDoubleBracket]", "3", "\[RightDoubleBracket]"}], ",", RowBox[{ "zu", "\[LeftDoubleBracket]", "7", "\[RightDoubleBracket]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"zu", "\[LeftDoubleBracket]", "4", "\[RightDoubleBracket]"}], ",", RowBox[{ "zu", "\[LeftDoubleBracket]", "8", "\[RightDoubleBracket]"}]}], "}"}]}], "}"}], ",", RowBox[{"Spacings", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"Scaled", "[", "0.2", "]"}], ",", RowBox[{"Scaled", "[", RowBox[{"-", "0.3"}], "]"}]}], "}"}]}]}], "]"}], "]"}]], "Input", CellChangeTimes->{{3.410055802258525*^9, 3.410055883390525*^9}, { 3.4111276262113266`*^9, 3.4111276746123266`*^9}, {3.4113804020958*^9, 3.4113804035327997`*^9}, {3.4113804868817997`*^9, 3.4113805347138*^9}}, CellLabel->"In[13]:="], Cell[BoxData[ GraphicsBox[{{}, {{InsetBox[ Graphics3DBox[GraphicsComplex3DBox[CompressedData[" 1:eJxsfHdcT+/7fyXZhERGMkpmtKyX11UkEspKKQ07UgoNCpllVkZbiaIo0tR4 Xe1dVDSNJhURKhnpe5/uu8/j7ff4+ef1cBzn3Pd1X9dzXPc5Z8oOq427RYSE hLYMFBLqR35P6z2Mc5lzmL++/OOw5iFTl9XyBy/6+Udm2a45fG9ZracQdcY1 s0HFjK9sev3uogcm/JD3lT3TtdJgxdJZKg0q1vx+ql0+r58c5E+Ik1CKO5gP 4dHXBpS9cOCbPXZctmfrEX5O+oyo6VolMNTz16d6FWf++Jl6m8xP2/NF5mQW HKwug9RNc8uMzpzjRytV/im5eZy/7MaO97EHq8FW3BRfvXDlr3z+IFHpqhPf 7k8P+fMOZhd6PFgvfZVfsb5OKkL1BN/gadHl6Vp10JZRl1Ov4s5P9rewqjnu xLfd4y+l5dEA2tMclwUaXee/Wqv0d/6l4/zr4y1CDla/h2DnMU+NztzkyxpH 7xV1t+c/KVqi5DG9GYRqIuSkwjz5sUeb7jgdPMIvOj0oJfbgR9jGX+376oU3 v2vu2+Xq9w7yP6pWrK2ObYUYv9oRHj98+QEqfk/HjTThi30Mqezp+QLDfh87 u176Nj8FCvWE5ssswxLZU1aa1vy03R2L7O+a8vcM6L64dZMJP9A/aby7wxMI /5n2eW1SAGTNvyfbpuAPAVNc3dwcUmCi7aUG7aTHEHQ/8l6lyUOwbI+6rh+b A0/jqh4sKowDs9NrPSanPoWAnVbabg4vQC/aykQ7CUHBQt+k3isWxApF17V7 vgQnfZEhj1+lw4mdQ+TeWj4DS1Wf9fqxFfC8bO2eRYXZcOz8ILFGSISyAAXd pJevYcoWz9TUjHz4oGy6d0l1IgScrZN3c6iBw6W1E7WTnkNeu3VSz7xE2LQ4 fGaaSx3UyUvyWiqL4VHhgXPiu5+B2Ge7We2eDTBkX2JzxKtSaGr3TNwWEgsJ Qctny91/D8r3TT0PF78Cz3KDJKdXT8Fy67A5+rFNsP19/5WLCsshYE7D2CWb H8LUoRVzLma2wHnZh9/+5FTCHsFNb597fvAyJWhu0stPEL5LNzA1oxrGVYdf Mqvczp/7XaKurGkv33tBiqP274N83lu+xZzFFnzzKJ9XawpDYGpLZEOS5yOw 6Z/z+pd2GOj/2SS5pjAWll4tb0/0TIJBk/w7KkPj4YROq+kPqVSIHv0wscA6 E77rrB8U2pgCLwKfxGoVZoGWaYtjomcBbLMz0hMyyoCp3w4P9TtVAIfKJCa/ elsMjSanRSRbsiDhzoQFP6SKIdEx+mSB9SsY41Z0bMSVHNi5ptsw8HspiE3b XJMuWgnVGdYvRaRyYej3t+e1CstgQ+53tUTP13Bpt65LmVMOxPimRH4LqYSi uFxdgzE1oCOq1KJWmwXGGkGvfU+9hu8XpYRfva0FSb3CtVP3ZcDA1jMDVm57 B1LG5pG6D+pB6K7xK5GuFKjIU5T6IVUL/AXPzAqsG8HiPW+MWUA8zA24G5F/ vg52iQ4atXrpB0hzd0iwLgqFU4clNAK/14NLuX5aumgzDPKpO3+vYT/fctwn I6GRG/gD1Bfesou04WstHatS4mXN3/TyYYivphssHWbYll0aCTsTP33csPsJ HCieJu2rGQiuus+3ZZemQt6Fb0P4qQKIiP+6r8n8ARwdb50clpwHpcdsN4uM yoSu5+8qfTSfwAKbQeLZpcVgZSIsvnxnLnina55U14+GGVu3pcavLgMIGGlU 71EAS+PCpzeZx8Mk3kObsOQqErcWla3+RfA6TCLv6vEkGD3lzzQ/xXdwwXXp 3Grt5wDPk+N8NFOg/5mQlqzSWjh2DAoMLxbBCC3rwZY6aXCqY306DG+ASZ5y Je8uFEBN2vTt6voZ8HvvD9/41e9htt+KqTttcuEJr+KxhFkW2FYFHFlwpgn0 VZ/vaJDPBOfYSyJN5jnwde3qdWHJLcCLvTpUIVoAG+fDlkSbPLDANtlpXZ8g Vnx4ytCxT0Am7Nv9q8cLoHGB919fxS+w5sbtL6cyDvHP3/t8TWTkBsGpwWNt uTi/2VwpycXZ5LI3+mu6oUhpXDEX5xlr8TkX53d2Ixf6awbihrFzeFycE56N LV9G4nxtpt7Vj+YPcMpKx2tcnOUPqc3n4hx4sPCbn+YTdFi852sWifOgdyYN 6iTO9llW0hr60WimO9yXi/OHXZ2zuDjrTh615qN5PK7ZG6vBxTlizTphLs7y 9tFHPY4noeIJ48++JM67z9j8qCJxPrXv4Qs/zRS8sqZfARfnpr9pnlycP91w 3HNIJw2F9coDuTibrpG+w8VZP3XdnxX6GXjU7OFRLs43J7h07iBxzmiV9hhr loUtFifXcHGeUmHN5+I8f3zbjI/mOWhsv2kyF+cdBnnl80ic/TRTkwU2eVhy Zkb7VBLn39P33uPiLHbYY5PH8QLUuPY7h4uzsVthCRfnHy9eppc37RUoJsTn rCG4Ibc4K202wY3a7Y2PtAtDMMhaeDGHG20va/gcbqQF3G4luIGGE2ZocbiR ffesGYcba1bvFumSSsV2wfslHG7YLK24+4DgRpTa7ytrCrNwcdvi4gSCG4kL J77uMcyAiYvdpfxPFWCKW1bUS4Ib9tdb7McQ3Ej3ul5CcAN3zmz7m09wo/vH jg/DCW78uGE87s73UhRLk1rD4YZYSfIyDjfmuM80XlNYhqHbVtxMILihrqLW 8YrghumV9rvfQyoxxEG1TZ/gRqfaC1MON266YrPfqdf4Y2X+zZcEN4CnUTKF 4EbeuYsKmtveodYo06UcbrzZfsyKw42elLAEghvo87a9Jp/gRsP6nc6mBDek wG17wfk6/BTmen4VwY2zc89O5nBDMfmo0J3v9cizk57D4Ubmsz2NdwluaL7O FRAeFNiOfq5sR3hwa4bSnS2EB6fkOugRHkS5ELe/awgPWuVobf9MeHCWtmYB 4UGsUDRo1yI8qHzwcVc54cHMSJ1WwoOoOyhGeSHhQf1lIw9KEx6cf3nOBcKD qOSwzEqL8GDR3QF/awkPOkGkJ+FBvNRe9zKc8OCcBzu9XhMezPum8oDwIDrN mfFNlfDgt8+/DOsJD44LSYgnPIhWuw6MSCE8eO7jy6hFhAejHgXsIjyIpn6P 52gRHnzocmD0X8KDBmJ1FoQHcWbLz+nNhAdXGGzvGk54UMh0+lHCgzhVzC8q nPBgScARAwPCg/ef7XEiPIgTpvKX2xAeXDap5qYj4cF1o0PPER5ECX7NC1XC gz/DPS0WER5st/h4hfAgDtt22uQ34cEJNcmVXoQHvbPm3iI8iKK20z8j4cEY 2V/xJoQH7+j36jpBWbiHxEE52aVbYvP/NDRNW7p/Xq+uw6oIYWef2bt4568d N/91eQfvUVOvrkMVzaJy79lHePVnNn7vt8eaNz2hV9dhd/QEqz3qJ3gXrUsH fS+z4xVl9uo6rHdXPuM9+yyvMDfOyPaZI+/ivF5dh6u0qotOqrrypkj80JWd dYqn6dmr6/CR0Onxe9Sv8tBy5ZXoDc48YSHuTw0ONJJQkgtx5xUuczxkGe3M M4nu1XWYEPdB33v2DV4oPnH+oenMS97Xq+vQYnTiiaGRt3iDl+xf3jLtFG/C pF5dh5Otrt47qerNE6+OcLiR58hzKO7VdVicZ5b3LdGXdzliu1h5mx2v/Fyv rsMzciptu9Vv837W5acHGlvzVJb06jqcoC56yWJnIE/r+Y/EA8o7eO6fe3Ud fv/cOkku5A7vXtESkUddU5f25fMRms+CDTSfBVNZPk+l+Yz7aT7jbJbPL2k+ 43yaz5jF8nktzWfcQvMZ+/JZgeYz5tF8xhMsn11oPuMMms+Yz/L5GM1nbKX5 jFIsnw/QfEZnms/Yl89GNJ/xPs1n3MbyeQbNZwSazyjM8nkyzWcsovmMffk8 juYzLqH5jOtZPovTfMYOms/YwfJ5EM1nlKT5jD4sn4VoPmMkzWdBF8NnBYrP AlmKz4I6hs+BFJ/xM8VnTGf4bEDxGbMoPqM2w+dvFJ/RmuIzRjN8XkjxGRk+ ozTDZwHFZ7Sj+IwZDJ/NKD7jH4rP2MXwWZTiM/an+IxzGT6HUHxGNYrPuIPh 8z2Kz9hB8RlvMXzupPiMyyg+Yz7D51UUn/E1xWcUSqX47EXxGespPuN4hs8t FJ/xDMVnVGL4vITiM2ZQfBbc+FdvCF5TvSGwYHpDmOoNlKN6Az8xvaFL9QbG U72Bd5nekKF6A2dQvYHhTG/YU72BA6neQNd/9Qa+p3oDdzG9oUX1BjK9gWpM byygegN3Ur2BV//VG/iB6g38/a/eQBOqN9D8X72BN6jewHKmN5qp3kCmN3Al 0xvbqd5AM6o38CnTG8VUb+AvqjdQmumNFVRv4HaqNwR6TD8PovpZoE31s4DH 9DOP6mfcRfUzbmb6+SLVz1hA9TNeYvrZjupnfEn1M9Yy/axI9TMeovoZnZh+ lqf6GdWpfsZxTD9PpvoZr1D9jNFMP4+h+hldqX5Geaafxah+Rkeqn7FjNdXP zlQ/owzVz5jO9PMfqp9xLtXP6M70sx3Vz7iN6mc0Yfr5G9XPuIzqZ5zD9LMl 1c8YT/UzdoVS/fyB6mfUpvpZMJn5wXvUDwo0qR8UGDE/OJf6QXSkfhC1mR/U pH4QR1E/iEeYH0ykfhB/Uj+I6cwPbqZ+EM2oH8RRzA/aUj+In6kfxEjmB9Oo H0Rp6gdRn/nBEdQPYj31gyjE/KAh9YN4g/pBvM/84EvqB3Er9YOow/zgL+oH cRL1g9j5ifpBGeoHUYz6QXzO/KAm9YN4hPpBnMb8oAX1g5hP/SAeZX7QnfpB HEX9oCCB9TfKaH9DcJn2NwR+rL9RSvsb2Ez7G+jD+hvLaX8D02h/A/ey/kYR 7W+gPe1voA/rbzjS/gZq0f4GCrP+xg3a30B/2t/Avay/8ZH2N9CH9jcIX9H+ xnLa38CBKr39DfRh/Q0v2t/Aj7S/getYf6OL9jcwj/Y3UJj1N6bR/gb26+jt b2A062+sp/0NDKf9DdzL+hsOtL+BSPsbOIH1N4JpfwNdaH8DC1h/o4j2N5BH +xuCvn5dsPvW4c1DpibX3rfi+nXJff26Y2ptXL9O8NtA996iByaCvn7dgC43 rl8nEDkc6vv6yUFBX7+u+PnMgWUvHASxEzu5fp2gr19XtMmstV7FWdBi18T1 6wR9/booDOf6dYK2t07dJTePC/r6dd6zf3H9OoHxMoMkpatOgr5+3QlPzdD1 0lcFoWG3xkeonhD09eueOmvl1qu4C6xvTzxUc9xJ0Nevuxf3hevXCbziy7l+ naCvX+fZepPr1wmmi67aJ+puL+jr112cxpshFeYp+LhnR5DTwSOCvn6do0Ed 168TxE6+tkL93kFBX7/O6pqLuMcPX4FG6JaocSNNBH39OtPMeefWS98WzKmd u1Vovkyy/SHxn8dnN4IMT/FQ9aZ0WHb37RuZ9AewZPWv/PbdH+CxuseMx0aZ cGb97Upry2D4Pbnh9sHAZuCv+vb29O5s6Bcd5GBaFQhJPwqt31d9hMK1G2/p WeZCa96YHzohN8HpeZyGyZjPYLjx6bpZdvkwfOU8g7RTTlCzNeKQq957kLyn arrjRS3kOBmHem2OgD3zX3SS4zjAUDTejBw3uff3oic5ni8Wrdnvax1+yNxy or92KvzYfcima+xDKF1pM8lxdiOOlvL6VkHG333i96NJZPxVZ+e3k/GjmkXV nkdk/D/c/CStyPhr0z/nkfGjBU6sPknGH+UXts6YjL9ZJPwOGT96jzLR2UTG r9q/ds46Mv4v6gfsyfgxY/eddDkyfgOD95cEZPx99x1G74sd9L7Yd9/F9L7Y Ru+LfffdTe+LEfS+2HdfN3pfnE/vi333TaT3RV16X9zH4iNG44PbaXywnMVz Ko0nvqbxxBgvOTkSN4hQLYkfoJ2KVsbL2n6PfYi2bN3V6LrjHrruuJCtewld d7xP1x272LrvpuuOk+m6YwJb9x903VE8v3fd8Rhbdxe67gh03TE/zKk1p/QO BN+ReROgeQoezYlsW297Ah63iu3h+j6zmq1C+xG9MH9qP888cV1+Zwpv08XY Gui/o0Fk31kBtPMzf4bveARxbF7udF6gTucFXmd9r3F9FoPFp29YE34ervFk +vKhYWBgdG4H12dp4tdpryT8nKXs8tph6X0Yr2ylwvVZbDWW95Mi/Pzm0uO9 ThvuwushBgO5Pkv/NUEJnwg/t67XSZsx0A/865dXc32WGzoiNimEnx9nmr6f Z3YFutzg+sHqz1CrPW9N22B/fqvhNANHRR2+UeKcCK7/MmXLjpk3CG9/3R2V 8d5/Pf9T5Zu0ZE8/OKs8znNd4S0oSukYcEvvJihWKAXwi6rAfoiCjK3pKzDe 6Gs4vy4dYsyD3qmYvQXVSMvDk5dUgKOLXeHFX2ng5zTQTfJXDbTrRWTljK6G 5wqBZkf0U2F7Fsz3SK+DyD+tUjatb2D29eHvNokJYPIIuxfDrjTAouJbsVd2 1oCZasTttX5xEOQ1Uf9a6UtQD3cIvBLQCIMUPrZciMyEk1EegVwf5H7CniFd hD/7Tc9Ryg6Kgoqpy8o3PS8DlUq7RxjxAW56eYdMGZEKdwIbxfvLNEGHbdmg hcvqIdW0bPHNsBswIny73rj8CpjZ3zb+a3IzbLjwoVmiJQaEVwrXpok2wy7T EGOi0+FaeoXIRpvdfI2FJ169zqqCSQuOZEwr/AhFU6QvTXzjD2N1349fm3QN dhuii4dDIOzP3J8Z+uo2qJytNhB7/QL0tzi5zHSuhSnld47mW+SDvu/wfsu1 TgtEh6uWxh6sh/QByitOHCqCA8P/VOSVl8A65+M3DN3qYeaKQSPvieeC1cR7 dn+tzgo2pomaVsc2woB13W8/F+fDOf/FnxJunRcE2pZ+6un5ABDaJtE+Ogd8 pZ+b2iW7CD7PCnKYrtUCpy6/Wi33JQ0iA3a9Umq4KFj67pCYlscn4B1fsiV+ YzyYOA4fw/UvJFcdzuN4b3DMZtfkbkt+tswvrbbBVwQu12keHRuvZxDnEQgH Zs1836iiLtj5TKxATisIwtQz3odMvAOvarx78stL8Ef9xXXc+DVk5GLvkvEf uZrs71b6EpUOjNzIrWNekroft46jebVLtzwvQ6tvnnrcel2cINjHrVdUs2iV VH4FhjlIG3Lr4ilm7cOty4ZajbMcn0W0Ut6YXzX0XoOiNX+Dp7z926wqbBQK NuHWZYXjS2luXcKyxw1Zn3QNC+eKrOPWxei17xZuXWQsl2SnEF4/rdFkxs3X 2qF9HDffMtOrlgJPP7Q/UYhrSf77D3Xi3yT5P/dU2h2SP7j6rMJmVZI/vyNj bG+Q/BFqlhmaW3oHF+QoZvgT3HickdFPm+CG3u5iF05nhy5/9mg5qeuHOya9 tSV1bXzvmgmns8tu/paRJHW9x3lnyzFS17vr16lyOlukednNZlLX/Vdek51O 6vrg1KHDOJ2twDs1KJnU9bezsybNJnVtY5ZXz+lsg2tpTm6kfp0rHpXUkfrt G88cOh4MpuPBjOwOK4JXeKBRTmLXWQEW1mzbELbjEfbxVy3lL/xC+Qt15EY/ 5fyD3RfbRVbEtyUb78zlDw3DvnndpfPCe3Re2Dev53ReaEbnhX3z+t3UOy/s 1uidF/bNS47OC5vpvLBvXrp0XmhH5yWoZOtiR9cFfem6YM/ymWpQVIVOUgZ6 R02J3ot/G6BQl47X6obdUjV7i0IWj69KL6nA1+M0xxNcQnH1nx0El/CMoH92 9uhqnK1elXxYPxUr3D4GElxCsZFGPYda3+CWZ+7pG8UEGFjzRnv4lQbMXFA5 geASDh+Titp+cWjH8lmR5jPm0nzGswO3TuF0/O6sz+ZcPyBabcexrKAoHMvy 3JLmObrSPEcFlleraF7hL5pXGPtv/iPLfxz9YKkdp/s/jFsZRHwAPlXctmiD zW7BFpb/DTT/UZ3mP0b8m/9oSPMfFynZmg14/QITjUS1CC6hqvD8UQSXUNVh neh/cAkZLmEFq+tOWte4gtY1vnAa6PAfXEKGS2h+Or31P7iEDJew34UTO/6D S8hwCf0uLS7/Dy4hwyWczurUmdYpHqJ1KlB2a9f+Dy4hwyV8pLnlw39wCRku oRHD1Q0UV1GB4iq6M35ZSfkFh1F+wSzGI0soj6A35RH8/YjyhQLlC9xK+QJP jdp4/j+4hAyXBAqML6ZRvsCXlC/wrw7lC3PKF2hN+QK1GA5PpDiM4hSHBbWM l69TXsZqysvoyXhN2K6X17CI8hrmMj2TQvUMvqN6BsOZntGkekagTfWMYCvT IYOgV4dgK9UhOI7pEF+qQ7Cb6hCsZDpkHtUhOFGnV4egD9MhKVSHYA3VIWjA 9IYu1Rs4fU+v3hD06ZO9YdWcPhHU33rD6RPBuzjKKx4SqwnPbODPGFOwa+QE XX7Zo8gkbh8rT2nqG3/NFOBvElvXVfsQen5HW3L7RjXJ0coVTXv5AdpKx+uc 9/C/yxwAbj9m69ui3DXExx95XHh/gEs6LK38hNx+zJizwye1Ex+P6W9UhCEN /kyZbsrtx5TMXH/In/h46yPlhRPIfQT7DYW4/Ri351fSNYmPf8ffJrATT4So caNtCF7A+SPqlZyuSehWc59TmgYRpseKLhMd83CVuyvBDzCcemyvjm8yqP/J VeP2ac5fEYspIP4+0dT8g+2Ne9BP5eNOzlcUj69dfJHoZTd/VR6IRoHeIKOf KoRvOlvnt3DrXOzfMGxeizd8bkp8anvXlO/zbsJbzvdr9ziixIpD/BmXx5qJ Et25POmXHqdDI1/095cOL4Qf/fOjyokPSZ53V4H4A7Cd9GO2yeR8yDl5Quwh 8SGL7mgP7CD6Olq7n7S5QzZ4/1xgcILzIaPbazh9LTXqvGzA0TQwP9z4cAPx IfPO+z3j9LWEu6KzT2wcLG71+jud+JAHXRoenL5Wrv2QsFU+EBIt8oc1DxmV LEX3Q/g7+CbRD4fa8KfO3r2giuj7REP1Idx4+Mbbuo3JeK5uVc0OJ/p+/t4x NZze7w562LGPjOfXmQHbnYm+v2fTHM2N5090QX9uPHueVHzbTPT9uBPJrtx4 ZATW+tx4il+HusgTfX/J1d2YG4/BsmkB3HhGL6uL5fYJusvtAri4Oe47d5aL W5xt0lSuP5Vc176xnOtXPXwSUkvyZyTD2yaKtxBN8ZavJTfjPNc3bDM+aCtM fEGyYv9zOcQX9B3/SI8L4ulxwaoPm6u5Pp22n3KGr2YK7v+7IKa99iEmsPsm 0fsK7tL7CrI9Jnzk+tSC5We/aRWW4S6DXV/EXNJxjtQpGa7fpH6zahbXt/bt 7+kqBGnYvs8mn+tTZ36Yv5PrW5+qUFAmeYtJ8btsuX7T6iUXfFdue4dlnS8E tuKJGDkg+LI14TnpRzf3cbx3yGWhDMlb/C68yJzjuUP2s4ZzvJfQPypmvW8y rtXXKuD61/e/SIlx/ewLLlKyJG9x2KlJQzlfl6qBUZz/K3MSy+OLRuGMvyKP OT4bNXKzAcdvXhGrbea2eKMki/8fGn8Bi78g8+91XzGiP1bpHlTl9Ejs5f77 Sd6i4r95gstonmAgyxMFmif4h+YJDj9L8+QuzRNkeYKOLE/G0jzByTRPsInl yUWaJ8jyBCsmio34T94KWN4KXrM6EtA6QntaRxjG6mgJrSOMoXWE9qyOYmgd 4XhaR6jJ6mg+rSMcQ+sIR7E6CqN1hCq0jrCW1bs/rXfBelrvgu8M975Q3BNE UNwT/NCg/sWa+hf0p/7lf7hqWhzB4arg9uI5uwmuCnRzD3g3VRbDxgOOV7l+ m6+plF/+9jw4v+nyOG7fdJXnMR+u3xahMHOM0tlsSH7zyNO6+BUsTbcP4fpt ncqfpnZeSYf2vYWS3L6pwhfbp1y/7eKsEokPJkkw61vrzV85lTB9wlEB12+T 6WxRk0sOh3pDg2WBRmcEs+m+Iuh6B9dHryiEX68/R3J9LoeJtP+UXFnv1yKV B+LGZ+Wkwi4Isl/Q/pNC8ghnxehMkHsn5cv1vyToviIE3W67sfEEAs/08QiP H5cEOxbT/lNK3pFzv049geC4h+u5vuHNGUU63LwmetSjIpmXxu7nn7j9s+KI zZu5efVbLfq6g8yrftT3iwsLy3GYarU+N68DRZ/D35N5nU6RnMn1DVcnm23n 5jVadcwrWTKvNaxeHtB6AVYvMHCwyxNuP08/cJU2t7/3XOkEj8QZH7Dx3KDj wQl0PLiKjecFHQ+K0PHgezaeoXQ8uJ+OB8+z8ayi48GRdDx45ncY/z9xRhZn nCi0J+o/cUYWZ4wVnSL/nzgjizPqDHrt9584I4szNg/zHPmfOCOLM9qx/NGm +YNRNH/wEcsfNZo/+IvmD9ay/FGm+YPuNH9QkuXPTJo/OIPmDy5kfOpB+RRz KZ+izzG5sRMt8iB2q2l5RE0dfNe7/OeaSgGMyQ/1lLMuBOOh6hu7BzaCd0R8 5OLjuZBzRfLyuKUvQCx1SqH2gg+wJkJ3t3tIJoip6hf4JxdDxFGR1T4GzTBK 0vnkvf0psOKt99BpaqWgN6s+rcn5IyTMqL/1bXMUZNSIyyl2RuE6m5DhK2Xf Q9NT3jyv0jwIC2xy2SASi6JLmmMT9zfBkLnVibPys8DNNOXjoeHxmCg8x0Tx SQukPt261Xl1KtjKeK13G5+A1rmWA0I7PkF/yWhzlW3RoCcZpyNtkYf6N+4G k3lh1OXFT8m8MPe38siZ1oWYNfHVeDIvtHpx05LMC28fMmiWWvoClYPF3Mi8 8JP7yjlkXqi/c9yagORiDJq7qD+ZFzquU9tM5oUj9crDpquV4ohY82NkXrhs ZPtOMi+s0ZNsm9MZBQK5Q1PIvHD74B4NMi/s9J6Ypy0SCwN4gflkXvg7YMFz Mi8c+mbqvf3D40F3w4ujZF44yVh4D5kXTpWZecJ1fAJ47RGSIfPCr5u7jpF5 4by3466vkK0Cy/CgtdOKGqD008drgy3S4YlyW1DD9deQ39Lz2DP5PZwZekl/ zJFkeG+2cI7hnxdgMMFj8OGVRJ8uTreGJemgeCn76TmRdyAvv3300PAmCBuT f/781kiYPtjBouZECQi/sDmXerAF8j8pWQ6yTACzpwmPdgu/hNCzm4TEb30C wfR4vx9H7kP3aHHJ4S2RcHSkml3Ru3rQO71Iq+BpIUhtpXFIpnEAIxoHUPah cRCjcYBfNA6gy+KgQ+MAE2kcwILFwZPGAdpoHEDA1jGbriMcousIXmwdVeg6 QitdR2hvjvc2+vMCD5gH5NmQOBQfHw9cHDaw9b1L1xec6PpC+Gu7X7UnSrDy 6wvg4jB3g7s8F4fBbN1H0nUHPl132PNc1XCv8EtcdUwkZgSJz5XkFmMuPuOU 9hVoyFZhU41Sy9SiBsw1H6hM1gvHPd71s/H6a1w3xFyDrBceebagUOJIMv5i 49xPx4lFdJw4draZ3AWRdxipcvv2kPAmnNEtUCbrhdFsnBV0nDibjhMPsvGs pOPBi3Q82C2zOH1USyR6hu3cQ9YLV1iJzSfrhR/+rUdk9Ygv/q1HZPWICf/W I7J6xLv/1iOyesRfeRRPzCieoB/FE3zG8GQQxRNcS/EEy1neGtG8xds0b7FT heJMJMUZlKA4g6NZ3vaneYtFNG9RkeHPNoo/mETxB3VYPofTfMZUms/Y8j6/ +9lsD7gfP++csJkppJYoX3fOMwZFKZugyUu/gM1EceMouSSQlf8ia+y5HZrZ +XX0fFQo7T0fF7Dzy+j5eIWej0OZDkynOhDKqQ6EKWp5rpxPFl+7YJwU8c32 md1z9CcEw09l6ncqqd/BW9TvYGqkzRyu3zfifIXv+PwKfDJC2M5gQjAqN8um HPBtQE1RdxvyC84b6127Oh/BDOk/07m/Dy5MGGZB/v2I+O+dPzsf4dFdPWce DjvM96m/J/1wjjr/fab325JZavyeZYdjYw9+Abu7m/cG3PDn6xgYrBEZB3yz bJ2J0ksqwNZvxVdVs7eg8H3ugAMF2TD40IJV2aOrwfTOV/mxv2qgUdxUbkYK 0RtM30pQfUt4pFffQk9a+Ku1+xtxtcjwc+QXVJ0/LPb2uAOrRowQnrykArvk KpZwfamZE1bZ7y/IRschVZo5o6ux8J1QOteXMlDLvCuXkolrme/7S30fVlHf h1vULJW56944vU5uHbmP47RFAnJ9NJmycq1TwRcw4dWsSgxNwv3u46edec4X vCzyXDBTywNmfZ8t36SiLjh/b4SYyVy1/x3XUc2cQY7zC0c97k+O883YdX4u 7b0O/HHrvQ5/alVinJ/mKQg4bzMht/QO3HBe/r04IhBWvdAy2CZvD4NEtbfb L3eHz65GMvMWu4FxTOiL25qncNea53+4PoRD6q0y7vwdC5vMekxNMUHGuX8C ya995+qcLSXcwYKdv5Oej/b0fFwrNNnMSN4etW8VK5Dr4/TRtzvmLnbDIWw8 gXQ8eJOOB78vMJzw29QUtrh/lCDXxyn9TN3I9fEwy4dymg8CmazefBD05UP9 wv77SD4IFnaO0ib5IFD9tz8GC2l/DGL/9SkQR30KDGd9xbO0rwhzaF8RjrP1 LaLrC9vo+kIZ6zcOpP1G0KP9RnjMfJkM9WVgTX0Z3P63DwnitA8J35hfs6Z+ DRKpX4MxDFefUlwFhqvg+7i7gsNZUaMbFucJT9q5te4YnR8MM9g+hRHdp8AZ dJ8CR7B+wgraT8Ao2k/Am2x/p//W3v0drKb7O/jbitbLXlov2ErrBfXYvk8m 3fdBPt33wSDWP7lC+yeYSvsnKMn2g5bT/SC0pvtBGMz6KlG0r4K7aV8FJzHe n0d5HyMo7+POBP4ubv5XuubWcPE4s2jMPon8YDzN+rR7aJ8WYmifFvaOuB12 saAel4tJmJJfeLaplZ9SEAV2bL/pKd1vQnG634Rdv13HcOedHCvfwf0/z18i L8n5OGvB/sPCq19BjGLTuSVfasDjlO0clfW58OiC+pmg2HIYeWhlc8TbOhg6 8+nY1OosGL/UykZk9SucfDlXhZyPKyWIoVufi1JxBwLuxpbj2di/18j5aHLr 8sOU6iycqkjzfDPNc2B5DueUR+2+R/DO8Rbfj8t31VsKnf5frPkrWB2tpXUE crSOwNDl+UbcbCDoP+So9hgpG/4YKd1Ik0HW/BP/1imyOsWuzbk1D0j9zLeV uEyuL/CZ3vWeXF+wgOHAUIoD+JXiALqdT1iQvNmAP//jtOPk+gLbcUpvyfUF 09eGENxZINB/QXGoPGv7cqn57nB5X4n8f44jO45v/+V3YPwO41h8ztH4gCmN D4xl+qSZ6hPIo/oEJJk+WU/1CRyl+gR8VSRvhnbXIQz0XEd+IfFESlCuVzzk /asDcSvVgejL1lGSriOOouuIE5mOPUx1LFZSHYt+TMcWUx2LF6mOxfzKsWLc /TrMbr7m7n83o90wzysexZhPNKA+EV5Qnwhrmf43oPofYqj+h2+s/5NF+z/g TPs/8NKv1WnN2Xe4W0ZzAPmF1ZdvnqmUTIcE1hfSon0hKKd9Ieh3Wmz/B5Na XDzUX578wg/P9sAFi1JgOesP6NH+AN6h/QE8zXxWPPVZ2El9FnawPmoj7aPi cdpHxelBt920yDg8x95s58ZlcXXD6CrJdIxl/dVg2l/Fr7S/ilY3lT68J+Oo 7bR6yI3Lr01iguKiFLw0RX4ztz/35c6eDIGnH2x3N7d6k+oDeUuOeQ07egaE VrdsWv/jKuw97bZ/64QrBHfSV+gmnQT5rVcibzi4wYD6G7bRXVdBpspmNtdP nyMdO47bXxp2TlD0OtUHS+7edR5+9AyO+bYvdd2Pq3h4UHWN3oQruCemU2lj 0klMnPLiKLkOPmnWFCPXwWeNyT2qhfdh87AN9wxi42H7x/NPtSbEAjrYiXHP 05/Zrn+Eew4rR9r/7It1EfA3xsRLTdoDVs542P9JfSi81buxTHrYA3jvn+JZ 9sJAIN1jXxB3MBGWY0r0Ftd4uOq9P7NBZYOgaS59zojvOvrP8uInUDP+afYx d3scWVSm4aH+ENQ2G3yX3xgK72/XH15UeB/TdWPWkPHgx+7tO8h4sORFaKd2 UgC+UvJdxD0fvaAoQZKMB99tAenl0h54ffjR1Mf1oRg5QvXvpGEPUCbntPd/ xoNsPJgYcyvrP+NBNh58EPlu+xF3e2iz6TQk48HyRy8HztwYirbFP9ZcU/CH RseGx7aL78PG0+Hjt1wPhs/s/C/0fHhFz4f6yJgHbgr+GHqt33JyPu5P8Y7e fD0YB0/4Z77I5os3Ex2+Npl7gVz5n40PkxOg4ZS0XuXHONjTONBTxeEs+FxN LLsbGwulH+fPdgiMhmn8t5KfzL2wWGigLDkf1eaIzCXn4+xhi74scTiL9eds 08n56CgeKUXOx3NJ1jYF1jEw9l7G0y6pSLDuGiof5RUBYg/dUn6Qv4eoeykV kn8vXF+s+21eFGQsr2zQ3kjWU2lv4+VtUaBbpXNm9/VIsJVU/U6ug6Gha0eS 62Cp1KwBT70icNv9gTu4v0u0lD7l/j0tN/DN13lR+CVn7cB1Gx/gXusyV3Id ND8pP59cByuL65UELx+B4XH76+kZvmAAG8MnhXuDi+KQw0JCKfDi2RRnHWlL /onJWQ+sju/nl1U6Tk5+mQR5P9Rc0zIewqbcJy2n9z+ALw/emggJ5YDs/VD9 xFu2/KTp8V28wzZ808YzHlcCMqGjYsc999JosDfX2JkkEglhIwzkhIRewA7r tLb10if4avcjF73ysOWXbde6mfSyAERVZUXTMhKh5X3pzp/Po+FNXtpEIaGX 8Nz/oMbXktP8J6LH8spyHPiyBwYUdIiWgGvu9wU/t6WCZcXv6ZWZcSB+fs5o IaEKaBU5Jp546zx/6XPNluXzHfkmM/avuxLwCsS7Xpq5l2bAmlVV59S7n8Fy 9VuDhIRew5B951+f3XaRf84uKzc81ol/lD3/NpO9r1rC3lf1qS8omr6kErzk Yt1nrs0ByYfq91R3J8JL9lziZPbeZS177/JltfLvnp5amO6ts2ToVzf+3kud 308FO/EHzMttCl1YAyFn7L8aLHsOG4JLy023JILlM/POnp56iMrfIvO1xIOf XLR574ApjnzZy8dCO0TrYFzlI/Gf24rhwEcdUP3yDAZ43v7a09MIy/8aipVF 3+C7u8c/FCly4C9vmb1fvaQeDA/5y68cWwoXO68m+efFwZ0j9DmP4vk7PiXc usUv2/8l7nSoLd9k9ZtZ3HMVAQOuqrmXvgTJkPBvtQ3RsGTjwKaenmYw3bmv JMDei9/edNpQ/7QN3ynk6scKiw9Qd/uE/ptrZRBvrj0kTDwSShWW1ff0fIQv Ny3jz27z4a/8Vm5RsG0/30dU7dH0Jc0gp2p1aObaCgg5+fTygbUP4OAwm7c9 Pa1wIufIbXOeH3/ztM28A2DIj9vx1eLQgI+wv9DE5ejAKpg4YZW88mRvSBn8 LOzO97tQvmLU2UzRUEgbmLp/9tT7ELHJ5mPg9yho+7DwRoboMzjV77zhmZ4Y +DvFRdi6NRl+6ykpXU9Pg2cPFA90hAhgRlfRpcDv6dDzbM3EDNFcOH6uU0Iv JQ3Wv6u85dKWA8KTdvTvWPkcMiKWT5c/kAlHsxruHGotBJEU3g+P9BLgWfld MtmfDUVldnpzjhbDGeucA7MbXsE00fw/ERE5sIM9DyzK3g99xd4P7Uw+bSZh UwbnXr7bbCT7GmQ3htzbH5gDFxcM3OvSVgEDzx/IbV/5DmRvlunGb88G6eAr Fn8sqyHT9/dtTaVasHmmUX3YKhP6x7Tddzt+GU6p7Fa4rfgYtk8XTSmpeAQq j2tuXTvuBxOT1on6KyJUarlbmVkmQodzg8VDo2BIsjxi37E7G4S+Nhw4OTEd dB7pD792/BEc6Em19FN8Dtu1C69/NMuGzQfeb11cGAlDcy48vXOyFBqHLp62 IyYPnE8Fyj80ioGdbhFzO3aXw10P79GvFQsh/Oa2nxM/xUOC/qsHq9dWg3ql vpdGdhFUsefPR7L3N0+x9zf7me5dd6p/CkQfcX9ud7kWDH/ZKR6LKQLf/Rkq iwtToaZi+pU7J+thYNKvEolphbDg6BTpbzfSYeiy+DX5No2QNsvzaHJCHjSi 26Ybxy/jxGvZP/1JHDyfHbrKxaHx1qnl14/74bOxT4r8SBxmpFmocXFo3eM3 N8IoGL8r8XW5OATlDtXm4rD3dNczj+OPcLDR9MVcHPYK3z7AxaFt/ay7Swsj UXx5f3cuDj2HN3aYkTiEG+k3hxvF4Hg9+/5cHBIOHKitJnEw339eQeZTPMru /+jAxWHBk8M7uTjIsfcd5rP3K03Y+5Vfl3/dfrp/Ck7K3RfJxWHvrshuBxKH Yq2BzksLU3H6pqADXByan34I5OLwWHfyvfYb6TjzTbUsF4cp2++v4uLwyGz8 3qDvd7Gnorw1g9TFBIeKd7NIXVy5W3r/zvcojD/d3Z1O6mKlwLL8NKmLlZLj J9q0JqPD5QtpHqQutppPj2ondXFCY/7qO9/T8dZW8fPppC4uzjW+t4XURZXT ptOubTkYNdVbq53UhcOykLszSF2oxNkmWbcWYlOn23muLip1RXqMSV2s7lr7 m9QF2hptaZpF6qLz/M19XF10/vt+DQiz9x/vLTikMsamDD1mvH1oSOqi/6ks ca4uNhU5b3Rtq8CpV4KGcXWhaO2SEUfqQujAdatuy2rUd4hayNUFOl7dxtVF x1tLP8JrqGK5tjaV8JoJ/82EiYTXBtQPcCH8hR9+SZSnEP6KKv5i4Uz4S3v2 pxrCU7jtXaqxG+GpS+5rDRIJT43a/bKb8BGqq//ckEL4KGfKAekuwkcWOsbD OkVL8MYGr6ldhHf622hFlhPe0bUo8SX8ghdElCe6EX7JUj/1BQi/KLlqzpJd UonHop6PkSd8oX/z4w9lwheS7H2ug+z9xJPs/UQnM89pYQtr0HTMgEH6hBfk 5Y7OMSG88MWquIXgP87auUG4i+D/huPFocoE/81ODHlKcB7vLZ38dwXB+eR+ Hqv9CM6XXF7pwD2PIi3R+ot7PuX5j+6HNQTPNXxPqlVafEDPTwk/qgluO+U7 CIUS3J4R/72I4C1e9Nf7epjgreR3xwBFgrdDj1kNFRZ6gvKb5hnOCDHjbfuV dzFmgylvvXKvTsDTLb8i5UKsecNVZd/rDbLieT7s1QNo89A4drHDMZ728jvj zwcc5R0a2cv7uEDVbLtciDOvNvrP5/tHjvEkCnv5HR9IXn/3eMR5nn+IkfSA RSd48S69PI6Tf2SYLXa4yBtYtf/DvbOneEYavXyNnuWd9Wl1V3mTNcZ4WZg7 84TYe4gD2HuIeew9xJI3vfyLK9bObW+pus47lRsrZWTizAtO7OVZPMnTjHk8 4hbv9tERZXHHT/HsvHv5FBPnmNge0fDiXa54+kiSf4KnZUefQ/ox0X7hYgcf XnBDVdnSa8d4E7b08iMqDnPv6g7347WefHlrSeRRXqtiLw+iZXfos7S62zy7 ad/SJOsteSjey3f4ytYsOf1SIO+7dUuh2BcTXifL2wU0b9GI5i0OZHlbT/MW H9O8xbUsb7fSvEUXmrc4muXtMpq3mEnzFg+yvHWneYvCNG+xL2/P0rzFVJq3 qMzy1pbmLW6ieYtjWd6as/cQj7P3EPvy1ojmLU6jeYttLG/lad7iWpq32Je3 d2jeYjzNWyxleTuB5i0W0LzFlSxvb9C8xWM0bzE29NkA2SXNOCzTpX3G2gps EM0R37/2AcqzfD5P8xlH03zGcIaT3RQncTzFSbzKcDKW4iRqUJxETYaT9hQn UY/iJJ5kOHmD4iS6UpzEaoaTTyhOoj3FSVzIcPI9xUmsoDiJWgwnj1CcxA6K k9j3nrgIew9RiL2HGMxw0o3iJIpSnMTNDCcnU5xEhpMownByK8VJFFCcxG7G mxMob+ItypvYzXgznvImylHexB7Gm98obyLjTTzJeHMQ5U3cQ3kTexhvjqC8 iX8pbyL+y5v4jPImnmC8OZ3yJjLeRD7jTQX2nuB29p5gz7+8iXsob2IN481p lDexifImIuNNecqbKEN5E99EUx11muooNKE6CocxHSVNdRRWUR2F5UxHCaiO QmGqo3AG01EHqY5CpqNwKdNRw6mOwg9UR+FOpqN2Ux2FwVRH4UWmo5KojsIV VEfh03+/g4Gn2Xt8rSZUR8VQHYXbqY7C00xH1VEdhYOpjsIxTEcNozoKM6iO whimq2uorsZcqqvxLtPVP6muxgtUV+NnpqtFtvbqakynuhonMl09MKFXV+Np qqtRjenqoVRXYwHV1bib6eqBVFfjSqqrMZPp6ktUV+NcqqtxK9PVw9h7dm/Z e3bNTFdfo7oa51FdjU5MV4+muhrnUl2NI5iuzqe6Gh2orsZi5osdqS9Ge+qL sYj534/U/+Ih6n9xG/O5wyp7fS5eoT4Xi5iflaV+Fvt96PWzKMN8623qW/ES 9a1owPzpTOpP0Zz6U7zO/GYM9ZuoSv0mFjC/qcbegxNh78H1Y74yn/pKtKa+ EmWYf5xD/SNeov4RlzGfaEN9IoZQn4gGzA/GUz+ICtQPoi3zfd3U92EB9X34 mPk1V+rXcAn1a6hp36sfYMSYG0G60sYCu+NNPXqVhoK+PoP82Vdcn0EgprIr 1Or4fkFfP6HxxHyDxFu2gvpVcj95h20EfX2DuKW2X9dLnxA827to8SsPW0Ff f2DFnzdcf0Awrm10flmOg6CvD/CoSmhk4q3zAmOJL1wfQNDn9yWeTXtD/L5g WbldHvH7gj6/78jed7vL3nfr8+/fEqI5/y7wOnu/nfh3QZ9PnzEri/Ppgm/x fzifLujz44be5ZwfF5T7bnxE/Ligz3dfG9jM+W7Bk6e28cR3C/r8dbrdL85f C7T2fOX8taDPR/94P+QZ8dGCXxpHDxIfLVDXOWd50C0cdJxlsxudvMCq2dzw aPAtmOLuuENbWQAvdc92rZ0WDLmfdIW7bwbB9o5C65oR2SBmprrp3PUwSNBd YSIUEwypF7ZIcz5nwoGcazcIbnW3hAX16AeDgVZPzYO4UrCv+e01qjAM1Ja7 9R9iGASl/cvkjSvLIaaiPHDtyWCokXmz4FqpD9wqNlJ41l4N4VOtbB9Ie8N5 2cCvlzZehnKWnxKsH1LG+iEKkUk2vDs1cPiiVVjglXx44fSo+f6EeJBakHmZ 60c3mfUcmGyRB28X5117lxwF7yWfPamb1ggqSoMnXDPKgfENYx7IGEWAwquF X2M3BkPA+2+/1r++D6nWCm5DxEPgpLW56+3AWJDw/ukSQH6D1wd3rWyMgmmG ZUGLG1Nh8OCFu0f9QdDWlpGrnZwA66Z/X8L5HJFm0xDC57D50sQVq5uSoU0Q kPZQ5wVMjnn520s2Gwpmzz8VFY0Q4Do0Y+XGl5Ar+Wu5v2sutNesvLbqLULT /c/h3s4V8Hzb1HXekvlQY31JKPmiAPYwvBJifYAS1gcYkXROdWh3OQxtfiFe Xl4F+mYbVns7ZsMxqbKNmatfg5H6Go8s8jtXp2iRyNRMmGkj6npkbw0ojpzV k7DhDbS1zU9v1EiDdbJGOx/FucMIHYWqcoyAJ1qSO59aPoLPE5etX0PyoG5R dSWXF3dXLXfKuJoAPaGRR82Nn0KK/AKTDXOyYNrh5QobJ6aBm0a9PRKfs/a9 lGIywa2DdlIeJb6Z8Pcg2q0ySIfD3WpTZJ2LQfSN/6Gpv7IhXfSrnS+Z/5u4 FZs1STw0JUevaDbMBRubfv1alF6AU1yVxNdXZSDW0NywCnPhK+MvcdYHOMH6 AD2fxP0CP6dDyLEvK5q0a8FhYwuc0igCxaIdE6oPncMW4XGmKy4/Bp5yYUzs 7HC4OtTzWHzoZUy+57zrRAFCDM4riuhIhFu23tldF87h2mUN37Z0ZkNHxxFp C490uLf1ctt6gi9/xSl+JG+70VD9OxuOxNgkr/zqDq+CCid/+1EKNzQW+yts y4flG9tVNEh+f7yisIrL95RXyttr0wpBtnapRmLaU1iz6dmGZz7VcMMl2SFm 8nMY8e93DMCM+fpkuej6dul4tPfxiWsQ1IKcvkJh3LDnMDOoauLxs0G47cHA +xJSYfDHZW/QgykP4IjR5Lf7xCKxa/zDb9vHJYL9Z13nzyVxcHDUvJdtC+PQ 4U1egIlwJtwwHPpTVj4V9vNGzE4lvKJWdzWX4xnbJMEKbr2qVo1aZ+QvwI5L R/esOFYCEuqN9sY6ubD//Z/NX6MRnxz8JLnofhlMjXTbVKZRAO5qYVWWwoh2 awxbqj5UgcVHn7aBekXwhenPQcynD2A+PVp936RBr16iquSZVSpGb8CtmW+z +0kujGL7j1Po/iOsp/uPsFJf72iZ8CMcnYGl6h23QTe1tL9koB80BaUrGo9L xMYtk+zJvIGXfa/aoi0cPhobxRV5pOOvuoro2KxESJwdubn5cSwcc51bzOns uts9zZy+WGiaKL+K1KnAs+ySaWkh7jHpPLvzfh6sKv9Qt1Q9DWzWmv6y7XqB szUcE8gvJBiM5h2emwnynXecTB6UoK1018L0mpcwurX1m9LFbBjFfI0j8+NX mB8vG9Mza8Tpd+j8QPftd/Ni+GS/oWu0gwBq3lVs5/ZZE2I/feP2afVU958Z Vojgda3frGVfa7FbLU10hm0lbDWSGDs8EeFwq0i99PfHWC23KGBljAUEKVzf ferSfpiU+dea5DH+Ofk6KTr0MqT0HzekWMkVDCNS9y0Izcbv8o+mBkkEgurk 60vyNXzAa973TZy+nOIl3+BGcPvKQ4u6PwS3/RclPGpcSPh7ynstT9lYqB2X /XuAXgS8lcxQJuuNklsqe74Q/Jr0/Gv41Zwo6Dy6bJ/x20rUWeckL2eZCa4q /e/4z4yHPh/tfGlHVoZyGu+5286Dp1Y85Z27v2tuSlctbtmsJ9kpGwg9P7Vn Si+/DB5viy25fc3fPvcsxFsiIXztJplBmT4Q5VHTaPGkETcJu8TKH08G42u/ 1sQaB8F1xYQ8wl/4a/SXQQ1OXqh0CvFw8C28JzLyKcEp3KUQtkB7WjBe/W1q /ftmEA5teHmX8BdaSgf4nb4ehtcLPs/4Gx2MfXEYR+OA52kcMKll0S/CX6g1 eWXHsMIw3FQ2qWKAYRCqxI1cRuoZU2epia46GYyTjacvcCn1wehRCksJf2E7 //h6X2lvfC20cqLTxss4nuWDIfO5B5nP9T7oE0L4CwsOecTcvpKPwR+slEIm xOOVTmcBt385LddSaZJFHl7b8vv9m+QoVMq68ZbwFxp92nz7slEORuj7Xp1k FIFRn2ruxW0MxmVdu7YR/kK5awm/B4uH4LQruUqEt/DbSe+3hMfQYUD5DsJf WJ+rNmFJYypm2T3bOvIPomumyJqayQnoyOqiltYFqtK6wL0HMqQe6bzAm0cV xQh/4QuhBIWnpP7VNy+YTvAaZYe2i/u55uKQjh0jNd8izuzXMtrHuQILf0m+ 9pTMx7+pNqaJFwX4l+FAdyr1ob+LqQ8d0XxXaFh3OTauXmBUVl6Fxnarwrwc szFEpWgG4S3cIL8xmfAYXpv+2Ft4aibqC+35QfgLv9ybMpDwF95RWDGT8BfK pxxQjIhzx4V7jnsS/sKOYeayhL8wUW3sGKJjMDZP8yKXF5ettBYS/kLTgz7p +42f4uyzg8YT/kJz86zODRPT0JLhIVA8xKMUD9G8yuDkaoN0tKvbVzHduRiX rigbSvgLVUb9COXm7/RFup3wOT54OS6/yTAXd4l1RBD+wrqbVT5tr8rwQ5qh IeEv3M5wfi7zoYbMh17QFwkO+pyOs9fslyb8haFd6n9PahShWKbq7vJD52CF 6hEXwl944p10NeEvPP11Ss8TUudJ9cdPcnWvqvihkfAX7ufnnGq9cA5sZ4p1 E/7CUUGJcoS/sNrF+9t/+AsZf+HLTplpOl/dMWeg0VjCX7jR5IE74S+8JXK5 RIvk99x33xW5fC+Z1LGC8BcWKAWdEaQ9xZT7++YR/sJa5U8bCH/h9f/n+zBn ma/0rE+LbZOOh72264sIf2HN/eZ2wl/4Jltf/9jZILh51VZxjFQYJtVtmhY6 5QEarJ8wisNx45mvbThcf/RtwDfCXxglV+35ZWEcbPVS/kH4C10n2qjJyafi MaY3NlK9gTZUb6D49qsy2/wFcOmGZCDhL9zl/Cqb8BfGpsaEfSb4VSrw3cjh WX7CkNuEv/CErM6TA8IIdk/jp1d/qMKK9eaKg/SKUJfprlHMJzYwn1i2RE9t 4KuXkBVh3ED4Cye7OP0m/IVS7HmbePq8DfrT521QQS9XiPAXRCWccVjRcRsv dj+/NDbQD0+5ezzleFpmxxQNc8Lb1Znmyy3bwlG7I3c94S8I9vKtjstKxJDr NitbHsfiCqYzR1CdifuozsQjqrLpJqWFYPnIdfeu+3l4EmMdeeppWL/E6xjH W5WbNJbYER7b8tilmvAXBg2xrDF+UAIjNI9kEP5Cv92b3JUvZmMO09s6zA+O Yn5woWPN/eGn34FV6dX8dvNiPBPs4DnGQYB7FyYM43jaSPD1K8fbmzNPCI0o RKzoL5/H+0r8Tlz7KHnbSiTmZe+IREQxg1OvCH+BTqXOg80xFrhp+N21Vy/t R8/Tols5HTbUa8OiJKLLWlO1A8qVXPH3Occ1hL/gzOB1H+9JBKK6flTWcw0f FDDfsYb6DpT52Os78Ej2oDOEv2DyiWeXvWVj8UtAkMQQvQhclC7xcyHRK9ts ZcK+EfyyEYRsdcuJwkXK18YS/oKhL4dGzLDMRJkI0A+YGY//8XFhnI8rcPCc wPk4F+V8WcJf4Dbu8KW/soFoPFOic87yy3jyaMd27nmg0SGFUmNaInGC7opJ 4pk+qDRvSh7hL4hbIFo893gydsuIOzwzDkJldvwKPQ719DgsZt+X8GPfFXFk 3xXp++5ECjsewI7viBRuar/TDDOLWjc9PZAK+lWCoRu3+cAqp7wtb343wfht 3peP5RWAzTFr66ysYBjbdPJ+a8lHEDZRqD8j8QxG77opkyPhCm5CQpO457Bt NexS606UgHLAcYkxJ4Mgw3PKi5bvrXD0oaxjd3MYPLxga1jeZQ56nb73d8V9 BJXy/Of9O8sgvCyybo38LRgxy3LxhpgPIG29Z/nC/Ddw9froTS754fCbPZ92 jD6fBq70+TS4P8Y7lJyPq/aavFEh52sLBn4+T87v40F5yoPgQXkQFBkPmlEe hCjKg1DOviuix75nIuVOv2fS972RGez4R/adk+Ohfy6R+OAzFRk/OxKfcMu1 izJIfBz9CgZ23GlGaX6LzmMSz3brRsd1JJ7BtXd2cM89/z5sr1RL4vPquv35 0SQ+rrXjkcQTp8nM3OpE4tmx2elGKonnvnPD/pL4YH3rvnmiJD5hT1t0tEh8 BooUvCbxxMJDgTu/kHhOvLwsNZfEM5rpnFVU5+BWqnP+972UKex7KfXseyl9 89Vlx0fT+aITG78kHT820/Fj33yf0vnifTpf7Bv/aDp+bKTjx775dtH5YjGd L/aN/xEdP3Zf6h0/9s33HZ0vhtD5YihbXw26vriKri/uZM83rqTPN2I0fb4R xVj+LKL5g6E0f1CS+frBO3p9PXZRX4/1zNebUl+POtTXowqrl2b2nZYc9p2W Rez4M3bcmx3XYPUCtF7wGq0XNGP1pUvrC2/Q+sKLrF48aL3gBlovKMnqaw6t L+TT+kIdVi+baL1gHq0X7KuvSlpfONilt77+h5PdFb04CQMpTkIf/phR/IFB FH/gFMOf+uBe/IESnV78gfvDa7dx+74dC8NCeIWpkPDn554O7zA49PDgaG7f t5gn/aHjRjq4+FQPU9/74H/4E8Fw5grDGZHG82elDZrhkqbYvn3Ts+HCjczd os53IM959LLVaz/CPu1jD6Z8yoH9G3rsdn/yguvSgR3W0AordT83VUXlgap5 zEvvDFdYyHjwJuVBsKI8COqMX7ZTfoGdlF/AgvHLOsovwKf8AjWMX6oov4A7 5RcwYc/3hrHvuiix77oYsOPx7LgaOz5wX+ZYE+VGWDiny1tz7Fv4821jnlNa LPySHzfy7456sPXQXau8qRaKHj+bt1IlAR6w9/T57Dswo9h3YLzZ8eXsuCQ7 HnEu0GVWQyMYPy5SmXuU8OHUNzFGR4lPtTgzesWMStCuba12TH0PBxaWXlRU TQWLNUJKq96Xws01AyK39m8Co1WT9srNToO4P1V5seotMDDzwpLW/m+graxg da2wH5zds2fixe56kDP/fszF+D3o3r7YOP5WMPx6Vz2Lw9PDrhG1XD01l5/b 6RETByprZjguMKqFeWuOzjxt1wQDKxZqa/ndh6lMt8Sy54R92HPCb9lzp0fY +0fb2ftHb0/4LPMl5z90Ga+1XL0e1Cdln/36Nxv2LNXZ5p10F66HlKVO+9EI N4xVux+acN+HkfrIfYchgH0fRpt9H+aMv0Hr/+/4sAtlFWqb7kNA6/GNFzqa Ac4IP7YJSgfJb4vE1226j6EVzqu448bi0SHccYke2ZHHCP62GTblcfUH5cdP Li5NhGdqc/xPkTq8vntdFHf8fmDNXu74ms7ZF3KkMiD49V2+0/VWmPJuywfH i4/AQahDuEAqAxdbFo7jjr+zLUnjjr8/arzkctkLzGrf+VNrUwNMPL+z23pz Luxj399QZt+TKWffkznBjiuw4yXs+BGLJL/V70vxmcHEPdz6pnXbzOPWN/Ca 4n6NGZX4RH+pE5cPIUJKK7h8kG6tu6ZKcPB44Blrbh0x2eC7O1nHtp+myv9X 3HeH9fy9/9s7e4Yykr3ToLoRSfaMVISQbFFGpaxkVZJVUVFGKG3ldbclWhok USqUjGSnfM/TfXPx/vn8/fvrXNfzqufrPM+5z+N+3POMMCpChykyP3uxj89b tE/VE/uoyHaQOtlB8InsILjBdiKQnQj9yE6EOn0V1cPHlaN7/x7XXwm5mt5C 8+5TIVeubF/Xkn0NamRfQ7CcvroU77Fe1sO0SuDG5jnpL7UEbuSxPgLWs3VZ //6o7hgocAMbbnFbYyZwo7HyXKV6AjeUN9dYCNzAezbTNykI3LiTlDJuqcCN qeXFfTfBazy2r4n1A4EbQzaed3AXuPHL7xFBfg+0J78H/vInjCN/Aj4mfwL+ 8ie8I38CepE/AQ+5L9spxbECDFcsGp0ai072q79WnrqMv75rE30XrqHvwl/f pc56tpr176/vqrX8+V1Yj74Lf31XAn0XxtJ34a/vcqLvwr70XajLfq1W5NfC qeTXwgfsL7IjfxGWkb8Ii9hfFE7+IpxN/iI8xf6ib+QvwjnkL8J8ru/41pr6 ySzkfjJZ/Lwl95lZy8/dr7Y8IPAQv4y/YDix0xOMNr/3cGdcGN7ZfPCYwENc PMbg5sg5Rdj+7YtZE0bdRHuW8yHcfyaT+89Y/N1nCXP5+RaPdi0GlpRiqPNX 50FbivCeTqM2Ag/Rl+X/Osk/svyjFZ+XCDovyOcF67LcupLcoj7JLaYUZicI PMRhy9eV7Dd5joPG6s8VeIg9+Rxtp3OEMjpHWMnnyJ7OEfI5wjbsh+zFdRDs h8Rszv935/o+Pa7v+6TssthD/P1Dr69fxo0rRtNdr3oIPMSO2UcCfaN98WTx oQiBh7i9r2+lwENc6aDz9g/cQ8Y9NHfQqfjXcwfGvYuEe2hMuIfe+/7CSWSc xJK/cQ8Z9zC1lnDyPeEkjiWcRGfGPXXCPXxCuId9GCf9CSexN+Ek+nef3ORg bgbs0k9W159TguvOLJu6ae4d3Mt6cBL3sZHnPjZn/u6fhh34uSHru1Ok73Ax 6TscyPpxJulHXE/6EUtZr20nvYbvSK/hANZrqqTXsDXpNdTguEZbimtgMMU1 UInjPpco7oMpFPfBa6xn+5GexZYPfupZ1OB42SaKl+FRipfhOuZR74lH4Q3i UajKPCqTeeYN5pk/SohHBRGPwvPEozCZeZQL8Sh0Ix6FLsyjNhKPQlPiUfgr 33XQ/O5nzTU9ZAkpn6R8V9mvOGmgfqH3TAUT7RFa46U4qXbBxrk+Ul5gp5Gq K3Y3jIGuzhkd5zcNgNjpxgZSnpxX2YqzHTblQpOqmG+nfeOhQ0vZ9aqJT+HC ae3kA+8egv6M92t1fOIgeEWrBlKe3OUpHStr1uVDZb6WUpfOsWDE/CqQ+ZUG 86uGyhuMngh9mZ+7tGfVqEK4OdYvLnZvBNzgequ93K8mnvvV9Na9N+a9+Dvd afvbPRX/dyrH0b5ljAwWlGaEbLV8AUX7R+uvDHkG/Ttcmp3ewgde/ziiLXAE GimnThO4AgPKGz1ZURIKYZGzxq0Qf3e7tq2jlfg/1Q7KV2b4+MFt7o+hxn1m YrjPjLFT/ptlQj8ta/g0Udqfis4XzPoMiocPbuoPugn9dMR8025pf1JWXrnj OjUKnM4exxyhnyJTG44TuA6DDmx5u1QjAA7/3Q8EmvpS3xgLk2nlK8R+q1RO Py29/3OLGxOk9+ubLZfrIfZbY4fjXOn9GV9jTkvv77dmx7A8sd/QMK6l9P7r ih9k0vvNFG1ipPyM0lkB8+wbxuBe57Jts5sGYFatSR0pX2GN9ba77Tfl4oCx c8aJfcRNzfZbSPkK5+okPnZ89xCvLK0nG+8Th00OGlhI+Qr3HVu/+b4uH81c Hjh07hyLD1gvNGS9sIz1gp+7Xa7YR/S4N8dR7A/C4275MXsjMPA//Vu2cf+W obPzs6W/K31idUr6v7Si4mS5GBlO8PEfJ/YD0+aePSX2BzUmal5Ma+GD+3os L5b0QUAbwxTBl7HvBldDsY/4+E1FpfR3mydoVov9R70JWr3FPuJZXuch3Hel Ca0z2vE6j6R1xk+0zriY11md1hnTaZ0FX6F11qZ1xmu0zniJ5USD+6jEch8V LZaT5SQn+IbkBDNZTpxJTjCV5ATNWE6iSE5wCMkJxvn5bvtsmAnzCnc2/9Tg GYxumrt29OsUCFIsXCXlX6boVudI+RSbHU5dOh+cDN6Mn2PZvmjH9oVzm4WT pPzLsHZfVueteQGGXStGpofHwi6n46p9pz6Egdu3juozugxs9kOe+ehIWF// fh8pL9O78MMPKc8iK8yiZnyHy+BZPbKHlPfQifIZwdco4caLZ6ngck+1UW7I Hln+ScpHOJA53y9s9V3Yw/0e/8vbrdZp3j9r7ShbNpfyEQ72nzbU5HI8rAaI kPIklCmfEVIMN7WdWida8PfxXuaah2TlrQjP6vQznzSyKgAc55scm9ApC5+E dD0ircNV98YzpXXY/He/O8hmXm2S1O3i46O5uK9n447SOsyrDqhKE+swuXbH jX5TH+KjB9/zpLoBvYoEG2kdRqnmR1s2eYRDjrz3lNah9tADL2kdxrN8ppN8 wmiSTzin8MNRyjs8UNsnRcpDjIwf0ULsFx7keRbQPDGA5olbeZ7Dmf/wPHEp z3MvzRPn0jxxGs8zj+aJk2ieqM7zHEzzxBqaJxqN3tnzj/1C3i9c+uRs4z/2 C3m/cBX3wfsvr1in/CLrj/1C3i+0TGl284/9Qt4v3L5uyLk/9gt5v9CH5Tad 5Ba3kdyiM8vtBNb7nVnv27Lc3iS5RROSW1zLcjuM5BZ3k9ziIpZbP5JbzCO5 xemsF16TXsBRpBfQj+sBg7nvCtcDgtN/+rF84+chzGdsic+ABfEZeKf7bfFB o2To6OHwUfIzXT3TYvnKBSlwP+svXgc7iNeBvnySzsAdt1CuqM5Dyb+bNW5P wsHGd2El10vO534pYdwvZdzfdZQYxc8r2N5MJHsTu5K9iTbO1x8fNkrGnm/9 bkt+0MlLnw8Q88FPo/+yu5Htbrz2fHJ/5R23oK9OTJXkX9zn2/mFmA8qeRf3 3ppyD+xvdfCX/F5j96md9CiNgy7c56Ee9yeJ4f4kg/n5j3R6fouf77J5vnmY Rwa8f3JxwcOsCnjaJ6jn4cwrMMsq3Lj+p1zw1dftbxb+Cka+GefREi+DfPu/ /QlG7E94xPNUpnnCXponbOLv7UXfC/r0vRCSbNR+W8o9bOtWvEGa/0l3jfXS /L25X8cj7ivSm/uKhPHzB/xckZ9PrdNQeYRHBjbR6CEvzb9+6oLSQ2L+Q5fJ /5D8mL6y7PuS325hea6eNP9k/t3W9Lt4gn4X/f7uZ4K9uE9IDD/P4efd+bkB /24j+l2sR7+LKvy7PvS7uIB+F3v3JLvjONsdumx3bP1b3vA+yRtmstx2JrnF QJJbbM77vpv2HcfRvmND3t9G3N8jgft79Pi7Xw2yPOBG3vcPtO9YRPuOY3jf /WnfUZX2Hfeyfr9K+h36kX6HX3nXbSjvGl5S3jUUM69rSbwOhxOvw2Nc/6VD 9V8YT/Vfv3mCJfEE0CeeAHfYHhxO9iCwPQh6LwKHOgr7UPW85wbJf9Z1+Szz tfq+EMC8MZ14I2oTb8Tt7GcbSn42NCA/G2Y+HXhKeu+0bi26HBS/UxD+qPk6 fV9cwOfagOujI7g+eiHHr99Q/BrOUfwa7jPvasN9GDZwH4Y8fl5D9jsY8fNr zLsUuT/Ddu7PkMx2+hKy06Ej2elwnO36arLrQUZ2PQxhnvaceBqkE0+DY4yT oVxP/ZXrqXtz/pg25Y/hZ8ofw1nM/1O5r8I87qvwy+8axc91+Lk38/9D3G/h LvdbqGS/6y7yu2IB+V2xLvtpp5OfFuWqfvppUZ7thWlkL+B5shdwM/sZwsjP AOxnAFOOO+hyX4Uw7quwmp9r8fMAfu7H/ltz8t9iLflv8T3Hs3ZzvwVX7rfw nZ9v4+eO/Hwo+1eD2L96jP2r6+pfslHemgefZ1cu1KosgtKwL1bDhDHVk/0P 3dj/oMv+ByWb/IOSf2f03Q7fNCuL0LPF7jri7xH/9ksA+yWg+j/PJ/HzKvZX 5JG/ApaRvwJ6//1+8KL3g/d/+g+YcP+Byr/9w8j+YbzH/uFA8g+jLvmHcQl/ 73f6XnxF34uezK+ciF/BTeJXMIbPkSGfo2g+R43Zfskm+wVWkP0COX/3TwYz Pi+P8y/sluQ1XGNUjCS/MqX8yE0bE+D833YNjCW7BkKYny8kfo7jiJ/juv/0 Gajhc3GV7eJosouxhuxinMfyn8DyP43lf+oaz0OR4vx3TXIfskXgweZJq3U2 b0zAmj5kL5eSvYwpZC/jMs6LWEB5EeBPeREw20y1iVSfprAsJEPKN3eaDttP X7wME/PnDCy2OQnJ3tlfJL9Ft1bTdfrMvwLxf+eNAOeNwNthl71nKkyXnd5G /gM77SpZtPtVkNVJ6D0tdA0qnh/3WIpHLTrq0fW+01XYwnmGnynPEK0ozxCP bVl6My7hDI5Y2H+VVIfk8NSti5gPLpri9FLK07oZe9ZD8iu/zWz+Rmn+FUzn PMxoysPEYMrDxAlLw33/mA/yfLBAP0BeO3QNNBiVUCb5g533yvcT88Eyzic5 TPkkEEr5JDA+qaCOlC/4JdfjuhR3Clj8LsC99BIM4bya8ZRXAzaUVwO7ptD7 69P74Si9HwZyvuVCyrfEb5RviSox3n7jP3ph/Yetxkh+3BlnBo4T70d9zjst o7xT5LxT7Fn3r/VEXk88wHkgbSkPBOIpDwRecH7jc8pvRG3Kb8ROk6ouZpQE wtsdDudO1pyBRg3K+6vJTsEVZ7OwkrCN2vWUtdZfXmisrZ9u9b6h9yLtZT01 u2aUxIBlv9DQEzVX4MegDOMSpYugeba2SM3gDmw74HZ4eG0ING9jfcnFKRCc jizJTi/JgAjb6WNP1ERBrO+OGO03wbA1NTa8vkIOfNfYs83WNhaK53SccmRd GCxr0fuMmkEenFEpmj28NgEa+Wd2Dm0SATOm7LG1cC6AMUO1B5XYJINRf5Pq UJcIOH9N8Vzvx5dAY/CIBCUxFg/8EH002R/SHYYfDutuob20ZjOGizEi+4Oc 1z5zbY1vw2/3ehwJmusnvOotxlZH9lmYTQ8Dl5YDnnYxi4e3xWo35cWYWLPF eIuzDBr1iDLs9fgOgHOqbW8xliueMc03j4NbnZUtjvfPAD2voJ7uYvTVuzZi bWQCWHm/udjFLAs2WH7fLS/GrbWLly5SSYLhA8Kfe57LhZP6k557iVHVZMDO NzeSwOh05XR/sb4aPSY2LRXrfbNO4dHKgA3aT5x23nQT62v3dMJqab3fyH1x qVG6BQe6DJg1VKxv16iDC9TFei991sLD9XM8+L7uMNFNrO+iKea9M8R6u06N 7ljVMhmeFO7y2CnWt3/kIfkGYr1dTTfOfNruLlSkbO04VKzvJ+XANupivefV Nv72uV4qfA1Z41wk1jfBLavJGrHezkE+FxdcTIVGZ5c2c6u5C5Ptq3+klxTC njnd61W/uwdfLHv+s4/HwUFxKtK9QQPoHkgwTP54KPwgwhmvqka5GeYy00i6 Lyjafvi9SI9EmO/oWlE8aqNsKt0DCUcOjn9n1iwFTMZdyTHavUW8n+8Liqrz rs6MVFjxLV6Wk7FNttud7gtSmNZ8UcmKdFgX/NhfqsdQ/EF5NxebzD37vkUG jAnbnizdP1QQTPcFyYet+WoxJx2wbeN/9mvVWX/sn/1ab99V/Ge/1in9Ak7/ q19r+h71f/ZrnVWUsPtf9z6cGivvc6LmDI53nBIvncvmW8+969DuOlh+nBru XnMFg0zdRknyoDuhrZokDzPMktKG1Yagzg+HppI8TDudZCzJQ/GM5+Pca6Jw dVrEG+n8jTQLvvteyINm992PbGxjcWT3wIfS+cvOral+IuRhX9t2bsNqE7Da wj9OOn/XZx46K8lDZmPfacU2yZhw0ytAOn/hGr2nSvLQtWZEY/eau5jUYMpd SR56xOT5fxPyYPY+LkbPJh0HBujGmNcths0Wzu3XN70LDzf3v2Vjm4lH54wP ra9QCjqxZm0md08Gm3WVXQy0s7Dqm9Zlz9EvYHSvh9fHySVAL/PIrcNqs9HA R+OsmkEZxJ97Ot6z8y24vcw+q6ksF6Mnj3LL3CzsqZVDKm/ZXgMLk8nDim0e okLlsAMWzq9hhkO94Ttvr9dWvJ67VOACnhm6o66ED+q3nzaV8GHOh5cHxPnH OtaH+0k4IDvhEr9c4MAhvZEbxflH+YAh/SQcyPkx28pS4MDbjpu6i/OPIz06 Rkt4cPbGx9xHAgcubXpYInAA++r+8JfwoIGbj/sagQOP8j6PFucfVbSrKiU8 uN55aJShwIHm4zq5iPOPY1VfjJFwYOzqsZmvBQ5oXVR90etxHk4bkr9XjDCp d7GWu3ISrGs1X8u/UwEaKqen+3UqgHz7pqfXByXAzKibd473L0SVo0WHxAh1 C7EyyzIOXq5L+WBwuwhHH8wPEiPoyI9q5RckA/tejxTlzYpx7P6c3C5mxRAy 71v3iglhIJ9bpv+4XilO2p1enV+vFOT7DrRuaOAPQQe+bvE69xyn2t3pIUZY PurdCu/Zq7R3JvsWCLnEu/Vv+LoLfXE498O8UUJf/LoHtudpW40Wc/drnly7 yd3ecq/mr3tjOzXI+N57q94Y60GuVSWNJo1p5V0xQ8gxfo8piTgucA6DXvk9 E3rk172xGttTtzSfe0LTfe+MeCNFN81C48bDhXxjs7FfWgl5h7Dy2zudhX75 dZ/sjay1K5vYeWtGmPgd2ep6RnOhXJumAgfxhKKtznGBi2sfDJmvJfTOr3tm J5V/aNd8rr+mCUTEm3qc04y18PoqzgO6/LAfI84H9Hs3K/iQ0Ee/7p99XGdn jFz/q5qTe2vfa3rDR3NAysBycU7Q4O2EHAlHR+1+vSxY6Klf99JGHrRXbWIX pHmt3oOZTxuf1zzWL/KROD+o8LTx+meS/nJBzRChv37dV1u/U+KhA+Yhmoc7 bx7Tcvt5TVsd31JxrrAkLaXJcYG7frbBDve+hsOve2yn+zQpbjY3XHPFwV4F m6t9NW+8LysQ5w0vyw77TLJJhwNN5DRemIXBr/ttTw6eqnFI+6am66K19XIu +2g+9x6WK84hqhv0UxDnElbWjyzu/i0Yus6yShPnELumN7WYr50FY5s2Ntzv EQgz6siSxDnEWt1X4UNrs6H72vAxPvIXYc/1BijOIRbJ7jUQ5xKezY+qmalz CsJMpoSLc4jxqtdmPbN5CGV1D33yn2OobcfyE0ryg9YkPxioe+G14BuyfltC F15caCxz7DX6e33vRbI2LCcvSE4wgOQES1gevsFPecBLJA+4iPfdnvYdTWjf MYH3dw/tL3ai/cUhvI+TaB+xF+0jnuD9ak77hZNpv1CJ8cSd8ARHEZ5gs1zj hYJnyPpdnVQleIfMJDN2muc+c9kCxplqq584g1GEM+jMONORcAYzCWfwA+PM UMIZ9CCcwQDGGSXCGaxLOINPGGeGEc7gVcIZbMU4o0k4g1qEM2g5fdvyS2J9 B6xpeF9a733xBYsE35A5sH4JJP2CE0m/4ELWL+NIv+BU0i9YyfrFnPQLjiD9 ghNZvwwn/YJZpF/QhfXLN9IveI30Cxawfokj/YJhpF+wP+uXRNIvqEj6BXXW qqn+wSuQeQVetOvd9A9egcwrsPGdxm/+4BXIvAJH37d58AevQOYVuDa/KuYP XoHMK/BcifnlP3gFMq/Ask9v7/zBK5B5BWolTr5wXOBjauPvnyV5t55wcFbH dtcxkXmdA/E6/EC8Drcyr1MkXocriNehE/M6E+J1eIJ4HaYzrxtEvA7diddh HvO6auJ1aEi8DouZ190hXofuxOuwwot43VTidehEvA4/OS7YoytwZKT64WoJ V8pXFa8Sehx3afS12ynwQv6twmcJPyIWnzESehz3DukVPU/gRV2/wPcSfii2 WPpG6HF06t396xCBFy+Nxr+R8KPpfS9PocfxaOfOqk0EXqS3yy6T8KP8oP5M me01dJVrt7lI4EVoilmphB8xHxTdhB6XeTHP1yaej2XE81GF+fx44vPYnvg8 HmY+X0V8HlOJz2Md5vMTic/jW+LzGMl8fgrxebxEfB43M5+3JD6PO4nP4yDm 857E53EM8Xl8fsNOSdLfST1c9XoLfd55cUCJ0ON4dozeUkl/v/30+LKkz11b 543aEJSAg5Y2mSnp70PPjzVyF/ocK8J3ZlvG4QG/inWS/vaeFam2QOjza41n fxJ6HJ+XZxyW9Hdo9JNVkj5fW+2fKPQ46gwNDZD0d0rfBqclfZ7o/7JvIwN/ 9Np86q6n0N8Frv3vSvq8SqO9gs/sVbL2bPc12vnT7sOuZPehKdt3B8m+w7aD f9p3qM72nRPZd9iZ7Dt0ZPsunew7zCD7Djezfdds9E/7Dj+SfYeL2b4LIPsO u5B9h1PYvptB9h1uIPsOuya+D5T4ZWX/Mw1PCDzYiI6qaV/D0WW5r4/EL48p fXkyWfBNL1DJeGkWho0bzHWT+OWZowOMbAXf7BleMF3xWzDa+DbYJ/HLihZ5 yRLfbCGr2e/oEYhV40OtJH6p5bR/1HDBNz0OF1X6yl9E82dm5hK/PNJY1aeZ 4Jv73D4lz9Y5hQX2HRdJ/PLJnpKWJYJvVj3qnnNpjqFspu/tCY2uIihdaTRZ pnUZqrMNH13P94NdM5TLyvWSIVNf68EEhRAw6xxi+KB5IASs+GBwyTgDWo39 fOBy9yjQfmpcUnokGE5emDemwD0b/E8vUHBsGQsXE0xnrxkQBntLwhTaZDyE ScdDP48+kgDbr9V5v704/Hf98j6uXy7g+uULM9cuz731DPrsvbd7jlw6bHg+ 683O82HQ9V33+RselcAzdBuyWzcTFEu6Hzs9JwRcjqZNavb5OYzQ0jlj1CgL bqzaPC+lUxA0Hmqncb5dGTjcrGysmpQN60+dGN1/6SWwSRs6UHvYK7ivds6y 1b5ciNnWT8lyrge8X1vY7eHU19AjdHrRy4kPYWZ4j3y1UeagkjIxxuB2LDyy bntggRgLvsinPgmOhov5uWOWaCfDwD4Xp5mKsV1ooMOqsFjo/npl+KrQNNiZ qdV2tRgT67l3m6eeAJPtdp5Sd78Pz2XmFhpiHOg/xy7gVSJYcZ2yCdcpD+U6 5eHcn3Mf9ecE7s8JW7kP50Pqwwlu1IcTsrh/aQX1LwV36l8Kw7gvdx3qyw0r qC83HFpaqDNY4zm0Uy/UHiJGn73pXmpG+6Gzrad5mnEkLGpgPS3SKw2m6lXm 3LqYBF0uJVw7NSQGqtc/9XR2zAKDvevtLrZOAeVjN/tNvRYPdwrqHU+IfQCr O+SE1V17D5IqVb6/zXkAXZRb9b2RWAF+0xpcOPnOHfJKFEzPGW2Wndr2CSa7 ZsN2x5snG2TchSJPNf0ul61ko54dW+iqlAcn5jf/kbo7DdS6dClckhaHtx6t mWkVnAsXF26083h3F7ZwXeoArksN57pUM+bz8sznXZnPX2K9q8r83I35eU/m 4YHMw8OYh6ey3tVlvm3MfPsA8+p85tV6zKsnMn+OYP58nfnzrzrQesyTDzBP NmE+PI358FLmw9HMe08w7z3BvFe+O90L8izi6FG5/rc0vZL9Cyb5ndO0zqR7 QTr6lG263TRGc1V///GrAs9o5vK9IFErmys0sYvVvKhnsSOzo5umymi6F8R0 8OA7eh/iNOVwk2WHlns1nd/QfWkNq6ZbHjBP0Gx0e+/5VpUTx7x0dfUX+IB1 JtdfE611GYf6546+lu+Huo1KVF7pJWPjPfvNdRRC0OpMfbXc5oF42PSHk8AH PLpMzvNi9yisOzV3V8mRYPyEh3YIfEAn78kv97WMRf/Szbh6gMBVBfk1Ah9w uksLB40jCdh0fCxsKw7/XR+aw/WhV7g+NK1bkZfABzy5ZN6MWXLp2K5n5Owd 58Ow/r2+JwQ+4JB+hz7Y62bihBNePU/NCUG1HeuOCnzA1ufWjlvUKAtv9oxW uNMpCNcMCN0v8AErO804opKUjdNTBq7tu/QSnsurthP4gFlHh+XL7cvFA10H 99w01wOzHMdbC3zA4MZt+72Y+BAnFpW2Vh1ljh/deusKXMCWgSr1pVFm+/1D QXA0Lly29L3AB+x7rtsJabxjObtmZVgs3hru7WUemoZjnRsMlMa7c+fvmaue gK3rbOgjcAEHjd36VOAEXmms++jKq0R8yH2DTahvME6nvsHYkPsDj6L+wPiR +gOjF/dPHkP9k7GQ+iejGvftH0d9+9Gc+vZjmseoVwIHULfOwRPSOLm8/I2q 0X78anBTNcM4EqN7fnkd4ZWGc90mHhU4gHo9X2efHhKDfourlggcwG3rlIYI HEC3jjZHpl2Lx3XXyvUFDqBP98EmAgdw2xLbq5U5D9DAdXZqUGIFPrC1NhY4 gN6pcUslHDhNOIA7CAcE71af+gcOIOMAunbWclqcFgcL640+IXAAoxcezxU4 gGVc3/eA6/tmcn3fbuu8wu8TiiEtvvfosa/TwR3WNW+pFAaLuA5Fmeu2vLhu q+53iltt5fqsw1yftbxLgNKyfkWYP6i+0UGBa1s2nXOvlx0OS/j8zuDza8Ln 92Ty+241E4rRu1vSRy3xu097f7BuIX5Xxuf6NJ/r43yuR7F8KpJ8QgzJJ5iz fNbr/FM+wYzkE7xYPktJPuGT/E/5BHOuPyrgeit1rrfKYLm9TXIL0YU/5RY8 eJ5ONE+8T/PEdfyee1zHdIzrmCw4PghcrxTM9Uq1HO/bwfG+IxzvG8h6pwHf B7GA74Nontfv7dJ+RTDpTtKSw0I+BiQlTWqQHY72vF9ltF8YQvuFh1m/jyP9 jjGk37E+63dX0u8YRvodt7F+Lyb9jsWk33EB77sG1x9d4fqjN6z3VUjv4zLS +1gy//OqhyW74EyLW1YXaizgbJ1BWS/nr4bBm999c+n0BI6mme9/9DoZSic1 2T/0SATI8XcNoe+CVvRd4MZ8bzvxPThEfA+aMd87THwPWhPfg13M9x4T34Pa Wz/5HnxivjeI+B4cIL4Ha5jv7SS+B5uI70ER870U4ntQQHxPu3tZUGi/xwdA wTshr78Yi5qPWH1tuiMsntr/k+36B9CrzqNaOzGm+xgaqUh6P6dyZP0rj0A/ V8m0gRhnWS1IHF2QCNnGNzfuf14AmwLWxzuK0cm2n5FMJQHKmecHEc+HVcTz YRvnObtxXc9srusx4Xs0nOgeDdhM92iAnWAaPfxyYHvdUwGVPcthwufB8HxY BPiyXfCQ7AJ4TXaB9j6VTwFfzR6AacSAiwe1K+BdSrc7nfv4wrAVX/aNqN0D fXMOq2sanIIR/gdHWiedgJRchS9bp6XC0z6zZQeuC3nsNrt0leE9sCmJqfev +6D/1/M1S5pFuq3IgKTHxZG9xTloX3RoTZ9WKVB33LR/3hP9v57v9cx79a/7 o//X86bfzP55r/T/en54/vvsf903/b+eX2R7NpDsWbhJ9qx262Dbf95D/b+e 321YWCrdA2vC91Nf4Pups/n5Kn5+nZ8PsxpUfHxFBr5r1mentJ6W9rpdpfW0 26B8wkzoxSEei98Ur38Oap9np3rcTIQd/6kniuR6IiWLN1Xa87PRVWdRsc2h lxAz94FZTUoM9Fi552tPvxzsXrfzIkmulg6OqioVcnXHLGxm5465+Kl8/sNO l8phlOfuXY/DQiDBdOr8arMHuOtiu5mSXEV9WHFYkqt1rNcMSa9BOOk1GFfh 1kCldg8qy+0tGyPkrSB1eZmVkLfYJau32Nm64EiloOSGChfALuicwfwbvlDU ytxanENUt5HrJJ3HlncGBl8V5/FW4Ymwrma+aC+WU4xQp834SrcGPnCX9fUU 0tdwifQ16L7z9xR4hdGXX233FXjl3Gfxh+cCr+rkfv/px571Ta1G8mOXNP3w 04/dlflk8X/45Dbmk52YT65hPvmA+WQ080lb5pOj/sMnGzOfdPkPn5xz5MxP PunG81S68nOeWEXzxOXZKQtcOz3B+lpj4x6+TsaAhEvJg49E4ErWv7dJ/+IS 0r8Yyn5jF/IbozX5jbGM/cMDyD+MBuQfRgX2D7cg/zCOJP8wzmH/8BvyD2Nz 8g/jfvYPp5N/GNPJP4w32T8cSP5hzCH/sKx+a9rHWbSPqEz7iAXyZ/0EnuJY leXTpbGxZWzQSMGjWjrIvgtcxWmDFpyUxhGnw3sIXMWxZQWzBZ7iQqWpzwS+ olVu/YRbKgm4h+MgWhQHwUCKg+Aelv9wrg+K4Pqg+vF0/9EEuv8IR9L9RziA 5b8ryT8uIfnHUI6b6FHcBE0pbiLLYPm3I/nHWyT/aMByPpLkHF+SnGOfr8kt tk1LRadl/fcLXMX7SiWHBK6iOp/rt3SucTOda7Ti+Fc3in/hNIp/yYwZV+8Q rqI84Sr6tp0wcbmwny3qGqqUrH+O7ao7tfG8mYgrWb+c5Dqa+VxHc7ExOGjN z4bZEa+G2h56iSZ6aqcFDuAa1i92pF9Qj/QLXv2ugR075oLGepuBnS+V48Jd CrECB3Aj65cVpF+wivQLBrGdq0B2Ll4hOxe7/K13kPUO9mi8Ss3W1gWGJR1u 1kjhAqY2a3Vc4ADOYr1sQnoZu7f4qZexu+cRJen8P9nl8UPCg9D3FdbHG/ig IevNo3z/1Fy+f2o/2/WdyK7HKWTXYxcD4jMt5X7yGWxe9yefwYFc1zOX63os ua7nEudRyFMehWwJ5VHIFNiv9Yj8WmBMfi2oYP9hLPkPoS35D8GP/Ydl5D+E w+Q/hGHsPzxA/kO4Sf5DOMz+Q0/yH4If+Q9h8Z7ti7d+KYR2HsqKVmIcb3Ky 17FGsRCdbGKr7v4M+jaeOlNDjDsHyQ9+mXQTJrFfMZH8ihBDfkXoIqfj+W1k CYzZtNG+WoyHxkR2/TgiCLbM6hsdnVkK0wvcb9wSo7b61fyuG05ACzfjSWtv pUK0UUJNt6oiON6pj/kcxf/NE+TwUuFRrwzwbTf/a1irEhh7bmSX9OA7/1Pv tws5393c5D44pbz4MHPQc+g/de6kGO2k/6n35S+dNRyvkA0b7be9K9d7Ce23 +aYMsY39n3q/h9fpE12f5ICBevOKPWblENL33Kpb1mH/U+8rHzue/cHzAWi9 9Xih4FABJmpOV/ac9fqf+v3kTdt/3iu9d2tiSxevDCywS7gprUO2QrM7aWId Bmw8bLHa5D6O6xtzXfrer/2r6krfm24xL1lHIRsvpEWdl75r5YX2btJ3bVnR vU/3JznYbGv4KWn+3v2deknz72Jaav/J8wGu7R58RJrnjkeNp0rzNOM40UCK E2lznEi7Ece5BlOcS9uU4lza1zh+p03xO20vit9p7+I4ZhrFMfEYxTFxHMe7 J1O8GydQvBs3c7x7HsW78SHFu3EOx7uHU7wba5/+jHfjK453q1G8G4Hi3ah4 fPxTIeeoctjkrDSuaLvCx7VRLEbozW4m5BtHH1iQIOQdIx12LHuRdBO7cxxc h+Lg2Jni4Djru+koId84du/sMiHveCFG/fSHEUFYdn3jEiHfqGs/taU0JuWO GCjkHNM/f1u2/lYqWj1MThRyjitXrG8j5BwP8z7m0z5iFu0jjuR9HEv7iF9o HzGP9/E87SOuoH1EO97HJrSPeI72EfvwPlrQPuI22kesldE58qNzhBPpHGF9 Pi9H6LzgYDov2JjPxRY6F9iJzgW2YPk3IvnHSJJ/bMNyPp7kHM1IznE85zVp Ul6T7BblNcnucF7WKsrLkt2ivCxZuwMUbxpG8SYopXgTOHO8qSPFmyCE4k3g zvGmmgs/403QleJN4MnxphKKN0F9ijeBL8eb7lK8CUoo3gRbOF+lP+Wr4CbK V8FCzlc5TPkqOJ7yVXAf56u8p3wV1KB8FRzE+SrzKV8FOV8F73O+yk3KV0ED ylfB+3e7jJoplw5z6naNlvz0c8OeLf069y5c+7seFjb+qh95tN/AXjcTRkcE hEv+e+vjTfKnHkiGENbjK0mPQyvS4/Ap3cHNsFEW9FyvHSzZ/R10loc280mA KNbj00mPwyLS41CTYJM5MikbmihnXJP8AW5fWsk++8oglvW4CulxmEd6HOrf tG4p+U3ePja9LPkJPneSm6TVJQjuVTmbz5ZLRy01f3vJv7iux3k58V34jOtQ krkOpRfXoRyydHZx0M1Enyc+WyW/Y2EHhyPiu9CR7ZRBZKcg2yk4Yv2CN5L/ sdE+LwvJ33N2RrMt4rtwCNspzmSnINsp+NC8x5RRSdm4evDpJZIfqG2UnYn4 LsxmO+Uj2SmoQnYK2i5/6d9yXy6mZR+fJ/mHjDpHthHfhWqHY4tnbs2CvMe9 Rgy3fQFfC8/VO7UpHib8XacAwa+pPuX/V17Z7r/XE0poPaHf3+sGF2nd4P5a p4mzt2Zh4fqCl8PEdz2f8zXxpPiuVF43C1o3aEXrBpt4fdJpfSCe1ge6cb3J Ja5zMeY6l0f8/gJ6Pz6j96My/70f16c8LKP6lEKWc22Sc9xJco6lLM99SJ6x M8kz9uF9KaB9we+0L1jO8tyC5BlPkjzj20iS2yqSW/xGcotDeR8DuN4knPYR pzH+TyD8h4uE/1BmUBQn4eC7ekYm3QQurjhybGekpw+0Z14ExIvQmXgRXnM9 vEHSu8+Tn7yS8Hv2gOq0m54+OJj9e43Yv2fE/r3Jn5fplGzLh5yD4dtKxfjR 5YdFj32JUH/XIPtVoU+gxrTeY3MxOi5f2eTLlXgoZX00mfQRpJA+gkeLdNuK /8cZA3Iui/fhgiNv7ijuS8QW8WarxP/jol53Poj3YdOTepafr8TjBuZvc4i/ 4QTib7iQefIR5slbmSfrji7ZfqLmICxesLrd/ZJzoJOh9mqZ11nIYL/EMvZL XGa/ROZnh50+wq5OH1Mn4qdfMME7YOVdOyjKDbE6VXMQl+VEPskU75npdNpR es9bfr6UnuMMeo4eRnO3nRf8u/f5GbslO/hmF+vJ4j04mOezlOaD+jQf7Mj2 1CGypyCL7ClY/WlQlNngNDSbtqpBoOozKJ/cQan26V2IYT1uTXocVpEeh9Fs VxqTXQkrya6ExryeprSe0ILWE7oxD1EjHgKriIdAKPMQLeIhICMeAoHsT3tG /jScSv40HDnLw33Z4DTwOKaqJeaJ2lsa7hDzxMpjxKuReDWeJl6NGexX3El+ RXQhvyJ+tyP5abD0p/zgYZIf3MTx0Hy+l/Ak30u4iO2FjmQvoC7ZC5jGcdJ3 fM9jIt/zGMF2xECyI3A32RF4sd2Fn/zWumP2T37b6tTen/w2mvdxLO0jVNI+ wm2Wk3ySE7xBcoJ2fY3/ec9mBs+nkucTw/OJYn2kTfoItpI+gjDWvwakf3Eh 6V8czPFiZ77P0YLvc9zM61PA63OC18eqU/WsPo9PwbBLcluVxWiVcqBq8MiT 0Fupi/KZmh2w/6uufnaJM3ztmhg5O+4o3FS60V78Hd71mh8s/g8tz8zWEn+P NvXLe3nW7ECf9e4dxN+jekL4fPH3iLHHD8zX9gW7QUHlXqPD4d4xL7+FlSEw n/OLUii/CDZSfhEMYbt4ANnFkER2MTR4MfvnPYxd+R7GcXwPYzN+3pOfT+Tn E1ubvTDQ9sW1tto+4ndxiu40M/G76M/5yeMoP1nYEz/zkzGe/XL9yS+HVuSX w4Qw56ShtefBrHj8c3WDSFhRErt7xJUwaMy/+997Ib9xPvkrzicfz/nkr5oN njC89jxm9hl9QrwHr+xvqSXegy2WPJRz7x8IiRXLEqTRfKv93S+GVyHp5bkp 8mbBUBF3TbmrGDupbll/bGEQ3JY57Rd/h/lHg/Sl0eK29ZvPhlfxY5/LBeLv sXj/BTdpHFiVWeG6MAg39e5cb2LTAnhxtG3ma7lk8CmykPd1joBh7E8oI38C IPkToH6TiQ+iM3Og5fGQ1FtiXNu+OulqQBJEO8t1GCeXB6oWP4aOF6Oj4kBl M9MkSLlysH5TmR/on84uur85Cp6kzXu3wTACRtoE+tQOvg3uU5QPffmWD1Me nDoScSwVxq306xZ0NQVuPD4/rqN8Iby8pKKfYJQKrqWPuhvvNpMlzrTqsi4/ CSqmn9JNeRYH3gYt/uo3Hs39xsvmzxzp+nmHLEN/+Ob8sAJY39Jweet36fB1 v8qRvb12ycIWrtR1VSqCYRPi9zcqSQcNlgcLkgfQJ3mAwE33V7h4BWLSY7k+ 4a0S4Kndqplb4mNgovH7vE+e4Wiw/fsXBYd78GObT/VJ30RwaHnpVLvpSbiv //LRVyoewZhTkbv7rE6Fe/U15iSl3sEZ1ouUnvZ5Cm9dlk/teTAVYni/8mi/ YCXtF+xe1KTQv9MtbL7BfpMYoTJhgV3WsQjo8328x+N6idjjYr9pYoTxO2de 26QcA44p9nql2+7i6JOti0q23YV5bTY+3dY6HvyC7WZWj8xGNc0NDcQIXwfK 1LqtTYIH7G/UIX8jyJG/EZqwv3Em+RtBlfyNcMWqPGd13WB0rLLUmmxzFpy0 v9Xde8cD/L60mtq9Khbz1ZMarr91FUo/Tdm+evklsA4dMHivWQp+q14V1u1J KERk7nv9rkEQKEX22v/JIhP35b8psy+IBrUWz64p6IfA4U6BVgMu5OAB45tH Nr+JhT3H7wxXvh4Gi9nf24H8vRBH/l44yH23yrmvtRL3tb6z099IyDO2tU/v WiGXjHPSChd5O0dgJPvJt5KfHD+3/uknx17c/7mc+z9bcv/n8SuP7hDyjRrq q/tLo9Kosd2EnKNl2rVMIec4cZjJZmmc1tXfZrlpEjo3/HiumcwPVVJHHRJy jgWWpueFnGNhczm9OkNuo1pNkYqQc1wQbDhCyDkOqutZN/hqCtbxW9NKyDmW l597E2+Uilu3XlWU5DyJ5Bxfk5xj48JroyR5vk/yjBtJntHT0vXoH/KMLM94 lXHVgXAV0wlXsTwkTN3ZKxAKNp5dJuQZ234K3CPkGWscfQZ99AyH7dOez1J0 uIedwhThlG8ietYb2aDt9CTot8H4iJBn7Nfe6qmQZ/Sr6GebkHoHPhXs2ivk GR++crwo5BlbM16lE16hLeEVfnD41kCS400Tj067KORa7fpK9exjEfh6dsva fCHHzWcYv5Lkeq7qq76blWNw8fKz2yQ5Nqp+f12S68cdatZtbx2P5+OXRHwT clx3wFEPSa4/rj5dKOQZjTkuOYDikviA4pLYkeOScyguiYsoLomuz31PC3mG kK1Pt02xOYt97kyU23/HAxU3tm8v5BmeXVjWa+Otq9ixpHDSmuWX8POb3Ed7 zFJANfmVjsKTUJzo9KLX+wZBuDLs3kwhz7D91oVPuwui8XOLUMUe+iE45+Ng FSHPsCTverblm1jMnKCU1vd6GGpzH9163Ee3FffRHcjx4gsUL8Y6ej/jxfi1 k9N9d9NSUFscc2BbWCbYtB+U9NojGNaHj06Q7Jl9j9d9EvYHTC2181/VLRBK 578KTTldBrkLuy8bpJoDBh0uqOve8YN7nA9zg/JhQJHyYaAu58NoUj4MzKJ8 GLhnpdHhhGkpquxLmGQtfvfj5gumFeJ3u3E8qITjQZ4cD6rbd5ecZJ90qr3g NkvM54WWj8NKMZ/t/4kTreY40ajcpIZ3T5fhty37iwaIeap7rD89QczzIceP bnH8aD/Hj1Q5frSU40d1OX6UwfPsS/PEYponNuT5NKH5YAHNBzX4d8vpd7EX /S56cz6hFuUT4l7KJ8ROnE/4jvIJcQTlE+Jn3hdd2he0p33BtbwvJ2hf0Jj2 BYt5X17SvqAt7QtO2hz7oKFLIUwbV+DaSIxGYz5Vt0uMhfPhFz7dHvIMTAPq JSSL0bZB9fwvadGwaV7DT2uV78PVY1tCb70sBSujgRXBt5Ign/0PKdx3sTf3 XczZ+AHWK9/HuTd6bJT+fo2e9gXp708xfsq1p76FE7hvocZF27liHjiyZY+O 0vhgb/+tYj54f9EROzEP1GgmP0Yad9u0tv2cFo1P+P1z6P1oQe9HL/bz7Oa+ Z1u579lSnn8gzR+30/xxOvP/U8T/QZ34P1iz/bKc7BcsI/sFtRyie0hyE3Ms ZLDYT3jXbqKcqX0UWK2a7TNQrO+ETnkF0nrn/9gRvkQ8t+fnOvQc+TkO5Pck 0nvwLb0HVXkdVGkd4BGtA6TzOmjSOsA+WgcYwLz6MPPqDcyrJ/L+zqb9RUPa X/Tm/V1J+4tOtL84neuR73E9siLXI39k3ljKvFGTeeOj+p3mrHG+BdmDFzwu sbkInsWHR1U4XoBmgVs+zxyUBPapR1ZbmNyAkjUZb8PqXoN+TxYnWjinQuc9 lStKbCJgTVrzOFh0A3o1ujBZur/k+ui5y4w9ZTBj6cfEwM8hMKz76cCZg3LB 1zp/qIVJHPSz3qSlVBEGwDj2JusnjkHt1Z84BkM4X3cP5+s+4XzdME01ZZ3t zyCz9Fw/Y880GGo/QCP2aRhoJQflSfJ6pId5lpBfMJtgPbe0OgQS5gw6LPn9 VdLs21qY3AeX02cCA9fegClP/cZK8fu8HadnTX6eBWONSyL05K/B/dU9Pxg/ KQO7/sHOfdflwIxL95+arrsADS9mBW79EgMz4+02WIlRWWvwzq8RUTDlxPtu XueSoNNNh25nxbheL875wMcYcN7X5kCi3j0oCNybnCTGqEm9AjovjodXnD+W SfljMIXyx+DwDf9hTveyQCV9YuuDYrzvckEtYXYSmLBd2ZbjUPochxo61mH0 rqXPIH5h32b2YlR9NG1nQHoUuNfvcbdI7MfLftdnrBH70/LWdE+bfkkwiPvz O1J/flhM/fnBdFHtaHOxH2fc5nWeJfYHtxkHW125C4McQ836iP247ubmLO2P 9/RFC4MHpEJb9ocf4PiRCsePIlKrdSrvb5Ltu0f3elUbP22lbnYXzq6vbCXd B9aS7gWFh1/TszpWpcLeNi/y9xhulx3XoXu9DPNvJpS6pMMR+ReOq03isOTd 4CxJXlr3bGMszWdIm4mvlIWey5r3HKT5lIQuq70h5mPJebn9/5OXi0lRiWI9 UeXW8B3Suq4OPno0Xqznr3tRc1uOKXYy36MJJoPi7j51+H0v6ts3BxSdzN00 O559Zu//3uX3vaiW87emTvfy0tzp9DhsRL1Tv+9F/W4SdOuA+XnNc45zChue 8vp9L6rM1b99xe5LmiMmRL3y2Ob9+17UXUmeFtO9rmnmBcf5hsj7/r4XtWfN ZNMFj4M0++DSJtN7/+883l/3ohYPGxtx81OY5v4xZX0udzr/+17URP2o4le7 IzV7t3ieZtra9/e9qH7LVVt1bxOtqZYQ20/Bxvv3vaj7bYNGT/eSaSou828W H+71+15Ulakdg/F4jGZb/Xo5AR1P/b4XVSkvS2/B41hNtU0nihwfu/y+F7XD Cpcn73rFa/o922iz3cpBM7J4ynWBJ9g7s6disc1FXHm707VyxwvYwcBTU7r/ o18Lv27SfSC33y5MC6l7DadFu/UU8oq3hkZdemYTgWuvG1lqL7qBca11d0v3 ScyZk6G6yFOGWjPS9a5/DkGT+NiPQj7QMup9kZBf3DQ43qNXRRh+5ftxtOl+ HNxK9+PgSc7vzf5Pfu8L3YeLBZ7guXrdvxt6puE8U6NT+DQMR/Xo2EXSN6NS 5ngL/YO+2PBBcXUI7v46574UB5JvdypBnAOcOt7T9PraG5h53+WglAdQx+jJ i0nPs3DY2OvHdeWvoUJA+gSTJ2VYer53c+V1OZhQBwyXrLuAA6LODBM4gnI3 wt8JXMFrL9Zf+RIRhXHXZ98WeIK9zvfaJI0WE1u3EXiCC843NRE4gmruh6sE ruD9qbryAk/QiuVfmeQfg0n+MZ7lfzjJP64g+UcF9rON5HjfOo73TZj9LkHg CUZMjrSTxomnSy9fSY/CC4bzHYvFfjSdvr1K4D2ObDJygcATLOP7qqrovips R/dV4Qk+v8/o/CKfX9Tg85tJ5xeL6fz+jusBx/XqD6C43vYWbhP/wBNkPMF9 c/Pb/IEnyHiCrh69nvyBJ8h4gjMZ384SvmE84Rt2YXwLJnxDf8I3fMH4nPOf /N4DjM/qhM/4gPAZx7D++kH6C9swD5/GdToa3IfBgPswDON6qBPc32A49zf4 zHVncdxPwIn7CcQV9Y7yFPrPQv9AjKQPTzgErHnQJRVy2vVcEOW+Qvb6Mt27 aKyhMmzW6Xjw/Y8f49e9aWu43r871/tf4Hr/SwPKNFpU7pLNJlyBdW0+a/vZ pQv751aNdG5PWw63l3hB0c7Ur1drI8GA7/EZRPf4AN/jA6dYTpqTnIAKyQmk /123CEFcF7+htk7gWXEO845eOSR911nbsjbSd+Ux/7zD/FOB+ecv+7qK7GvY TvY19OVz1JrOEdygcwQyPkfKdI5gLZ0jmMPnSJPOEeTQOYJmXAcKXG8+huvN 50VtMrphmYf61z2+B1nmgap1zJTHE5PAm+9Lmk/3JYEr3ZcEFdf7V+V1e4qm 3o1txQhH22SHflsaD87MkxsyT9ZinhzKOKlKOAlWhJPQlnFSlXASCggnYTLj ZAbhJOwgnIQYxsnVhJMwjXASFjFOOhBOwh7CSXDhut1uXGdtwHXW7oyTZYST ICOchFLGyXDCSVhJOAkjGCfHE05CCOEk7GKc7E84CYaEk5DKONmKcBL0CCfh OM+nKdcRT+A64pa8L2O4PleD63PzWa5iuB42kOthbViuHpBcoSfJFcZ9aWb4 x3lBPi/oxfWqfC6QzwXOc18w5o9zgXwuMOrcvrHPxD6pzlpRIO2bokOh/rXa SHzL9zMm0P2MqEz3M+Iu5mOviY9hW+JjWMTn/TbXmXL/ELzE530dnXf0pPP+ /9hBHO/G7XxvZhe6NxMv0b2ZWI/56lziqziY+CrqMl/tRnwVNxNfRSfmq8XE VzGG+CoOZLzy4PpN7seCqd5JHtJ5qJOkFy2dj2VDtlSJc4EbuL5sOdWXoQrV l2Fbl9Im0nlIjp6y6pE4H9umpU6qXhqPuWx3vCS7A6+R3YGN2e5wJrsDv5Pd gUpsdwwiuwN3kt2BPdjuSCa7A5eQ3YGD2e64QXYHjia7AyczPk/jOkoLrqMc yHbHGbI78D3ZHRjMdkc52R04juwOHM12hwfZHbiV7A6MZbtDh+wOPEd2B+qx 3VFGdgcuJLvj930uj7mewpfrKX7d+6PGdQTXuY5gIT9X4roST64rKe9jsPTs OT9obfDC9JwYPcaPXKJccR6yeL++Jf7cLzCm/YI6XIeyhetQdnMdymS2H2+z /diV7cejLfNLF4rzvyXl4k5pPYIibrzf7SH1p837530TVuuyM//Vn9YC0sP/ 3Z82xfNf/Wm3/92XHmI57zpl5atUiVcNPWTdTfAsaG7fwe78k0iYwf2voqn/ Fbyj/lfwZlJ4C7EueERtf7i0Tk/PXYrrI9bHjfH5PfuBB7EfeA3vSwrXp7hy fcp7fo8TvQcL6D24kPXFRNIXOJL0Bf7qd6fN9SzXuJ6l50eTtkZCnmbGNdaR 8FWz3nEPsZ64gvNLT3B+qQnnl6YULtLrI+xS7xTltRKvrH8mIV18L478297H HrRfWMry0IHkAb1JHgSPpjzMZZyH6cB5mPfDXd4dUy0F5Zx+hW5i7NjsbL3d 1ud/59Fx/hUwT4Oj96Y4i7/D+Lh1Y6XRr/vOVQ7W57Ee24mHOW9KnfOmdDh/ wI/zQEZxn9JfeQ4XOM/BkPtwXmXcs+M8n7Wc51PEPOE258kwT0BrXrdjXPex iOs+CnjdPGjdoPb0z3UDr+pixX/3YX7S8F99mOV5nv6cv2HE+Ru/8qLDOC86 hvOic1g+B5N8YjOSTxzC63CF8yg0uG9nV7YXPpG9ADlkL0A6+yWcyS+BS8kv gf+rnrcL420s4S1YEt7CQd6vJNovuEz7BZXMW4yIt+Ah4i2YyvIwkOQBu5I8 YFe2I1Q5Xr+B4/Xj2I6IJjsCJpMdAYb/iY/P4Pj4QPZjJJMfAzXJj4Er+LyM 4/6Qgdwfsi2fl1l0XkCLzgtsZlzaRriEYYRLmMn6ejjpa5AnfQ0tz1nsmqFg Ins8ku4zf/Z2jP7XXtGgyrz3JPFeLCTei7Mzvzj88ffIf48vhg34Zx8/Zear bzkeZM3xoP8DGUnCqg== "], {{ {EdgeForm[None], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxFm3ccV9P/x+++H0oDLVKiokjKSEKLioiv7EiSkJCRbLIqI6thFNEQGSFZ SWUTChUhpVJCdmb8Xs9e5/fwx/tz3vd93/fc8zn3nPc+jfqee+Q5SRRFp+ZR lKpdofbwIoouFt5DN/oIto6j6B/RPyij6BExfav77QQNRN9XtB8EZ4u+mXg2 z/3MkYKegptit1wfJDytqG/xd86i6E3RLtJzZ+tdddQ+Jpgv/HrRZwuvKvxt 4RcLP1d4L+FnC04QpHrPKrU3ij4w0EcIH6D2TMFRgmGCOXp2C9HfEj5E+DnC xwrvJHx34TU0lusFRyd+lnZ70WPdv0fwuPCb9K6usfExut9R9JbCt9RzdQXH ijZd9w8WPCH6Ebo+PMzbn2rvFP9U0U8X3l9wkuByQWvR60Tm5ZlzxL+VaA8L 3hL9f2HehgvfQmNYGf7j38Lf03vHim+d2oNEX5B5/m8K4+8RxtBQ+NLc3/c8 4f/qu/0j2D7xeHoL7hL9WrWz1F8V4Z8Iv1b4lZHHe3rgqaI+qgpOoW99xz/V zxK9d1td/6qxrxXPx8Kv0bNXCN+oezfrulHktk1qvHfok3m4TuOfpD7nRB7T oYL3hT+q/loIv0N4Re1ugPDN1e4u2F/4vnp/XoZ7gpaB58zwLTfNg8b5s/je 11iW8j6N4SrRC73ze13fLfwz4U+on/N0r734e4u/tfg/F3266OenXmtXpV5v w4W/Kry+8Ia6f7Ogla7n5nQcRV9F/60n1mF99RmL/pp4Ruh6ntpq4nlJ/Lfq 2b3YeLnXJWuyn9rTkv/WWL3S1/upnxbqJ9HYqou/Bt+VuRB9d9GzzOukmqCv 6EsEQ9X35eqnamLew2Ovq75hP9ZW37n4T6R/PT9acIjofzD3evYhPdtGeHWu RX9XvPey5nTvDvHOEjwh+nuijxO9i+h/8P0Zi+jNRd9FY9tb/dynPg5OjV8u 3nYa92Piu5o+BBNirw3WBe+dr2fvEd+BemYia0NtB/aR6Ln6vED4JNEPE72j 8AWi3y/+Huxb3d9N0Eb0haJPEP1w0U9Dzol+vujT1J4jOFrvfQm5Jlgp+jai /Su+eqw30aYJXhS+WWr594LwbhrvOEFP9r3a8Zn7uTt3nzPEc6TeuVnFcu0I 4WXFe/sw4ZnwKcyFxl9FMJhnBccJXtWzd6k9RvCM8IvVXz1BXfaX3vOHoIGe +Vq0CwXHI2PV5+bq83H1uY3GULewbHkoN88rwjvpubsEPcTfQe1YwaHIHD03 QM9/rmePSyzPDhD/laJ10L0XMu+VG1Pvl4/0zHmCtsgi0UczL8InCH9SvIN0 7xK9cwfBTpFl88Agt5G31Uuv7R00tkbiaSr8UrU7CnYWXiusSeT9A4JDUo9n PfIvtSyiz15BHj6otjt7V/guarfSszWFH6CxjBF013jqVbw3X9H9XXLvKf7r X8LfFT5G9DbiXSPYFXmm6+OFV9GzVfTsNaXnflvxb1tatnQUfZn6fFX0eaLf Kfo+eu470ary7ZGbgs6itRL/K+IZJXpbXW+tZ88Svkz4l+LfWvCneH7T9Qnq r6reW1/82xeW4S/TL3JI+F/qcxR6Qnhb9fG9YKCunxbvaYIJQaaxT9gjr6kd w35DRgnWC1aL3lLvuVVwAGtOPKPFs6/u9WD+Nb6HhLfV/bWZZfG02HNzu57d D92kZ5qq7SL+9wV3IcdYI+hyoTvruQGCffVcqfsdxd9J/IXwiGvhO+n+mYK2 4ukq2o3iuU+3d9K9LwrrlDPVPiw4Ujynq31IcARrDNmpcR6o5z9hHvXMDeLv oHbHxPzt0T+C/wm/Tn3307P3i+ewit+xIvN4JuvezrreQf08I/hEPI3UzhB8 LHyV2v9l/kbd9Ow69fNe5u/cvPC3rql2Ousp8jq7UbTteFcYAzquhnieyG3n LBfP4erjd+F3s8cy/6+TxVstyOpJhfVRB+EHYavk3oMHCr8W/SH8V/Helnre Oov+juBWXQ8TrCk8/1005n/VvqN3rBStuuCP2LSv2Hdqm4j/OcGn2D/hG+2g vl9XO1iwi55drOurxXNZGP/Ogs+FH6f7j+a2W/5U2199ThZ+DDajrt8Q/jn7 J7V+v0h4R8GkyLLrAfG8JPxY4dOEv4nNENvu4nsdL/pHgpl6/lC1d+ReY7V1 /ajgHewl0T8sLa/vQ5+X1kXI4Qnin4UtpHduI9p7whurfVawVPgJ4nk8dz9j Y8tIZPjRoj8s+uvCD9Wz9cW/UPj9+n9bCH5B7qk9WdAxtg44Nra8PQ89U1im 099Roc/GmsMNsXVH68S6mW99lngfKUx/Q++9SNBC78z0znsFM/Vskvgd9H+U 7k/V2F4TfrDwW3Lbmeeqjx8L64+zC+s5npkvniGl931HtScU3nfr1Of1qddS B9FfK20nVVN7Kv8TWwr5IlgS2d48Qu86UO04dHxiuc1+ZU/9Ilo14av0nma6 rptYTpyOfGOdJZ7Drrq/LPO+2LPiOdxT162FN8VO1fveYL0K5kbeo/TJPh2q 9mtB7TCHbYJ9Uj3gzOdXfHvx/IUMVLtccBw6ouJv92nq9U1/C0TfVbRrC/eJ XXqo+D7LvI/uLiz33tYYrha+Bvmm+1ULyx7mPNMzewb7tFWwUbneSzAlsp5H 3zcIY95DMJa9rGfT0s+xFloH+pfYnoItMv+n1uF/IRv2DH12DLKO+Xk+zO2v wp+Lvc5YSxsCPo99rb5WZ/5mH+m/HCM4C7Et2leCXUQfH7ttFr41Psavmb85 18ew75D7gv7CG+j/PylYJHyY+L4RNFQfD+EfsnbQv2rbJZ7/Oonpx2I/67mn BIvD3vwzsx8wNTZ/I7V1U9s1yFV0zn6hnzvF+11mGdEVGZ97TBWNd5TwbsJn Bh2A/Mf/qK97ZwR53D7I5N8L91k3zGWHMJ/PxsbRI/vqWzcR39/q42+1D6r/ 2UGm/Z15HQ0tPQb+15fYfNhq2Eu6d4GuL43sh/wk6MyY1OdWyNncz3UNc3J1 6blmnntWbA/jr6D7+F/4mL8V5uc7XCv+iaK/jF4urGe7CP9J4+4lOEGweWm/ D12Ez/a74ODEdPwv/C7k232Z7cnP0KeZ19Jmof9DWH/CC41pqu5vV7Hv/G9m WVS14nXwo+AY0Srq54zYNtS26qedeH4SDNL9nwTH4rMGGY+PjZyvFgfbR/jP 2KPi2VzXIxP7ATuEtXq5oE7s9XyZoJbwpnp/V/3HWtg1iX2UHcV/W2K/pLHw Jthxpf2QW4Jthk/6T+bYBX5bE/VzEDaZaI2FXyH+Z4SfFXvfo9O3FF5D0CDy d+gSvgU25C2CLrF19J+C2/WOrxPr5JHYcnrPdoX/Y+fYemNYZP+xYeE+V4v/ puBvZsGnw969XdBV9Cao5+AD4jOtiO2HdYq9lpuG9fy7rh8JvvkytY/Ftvew UXfMHXPAxhsp6Cb8MMYtGIM8V/t4bNujvWB/wfWir1W/I5k/4ZcJ3094bXR6 Yvtxa+G76X+vEPTS9dH4IMJPjCzLhgX58Do6RPPbHttb978TDEDmI2dE7yC8 i/DOGmv3yP7ytsK3wXYV70pBb/HsrnaV4GRsC3SIYBHyR+M5XrTO4n9SeF9s OOFPCT8V3YB81nNr8a+xCfD7C/s3xFN+FmyN/Nb9rwX9kR/4S4IW7OXYPmtN wbvYKegfwQV6ZjfxZuhi4bsKT7AH9NMidZxtsPCW6aatH61ljsT8j/Cvha8T /Cv8ksRxBUTEEPRKusmFiS5ObMvXEv6i2m/Yq8IvTOxbbMWaiW3jE2dIY/sN xMHmC78vtm/+o6CIHa+4Dr2dem6T2H4w8bfzE/s0W0aOLe2d2vf5SvjNwm8S vkb4LcJvjmyj/lXaP5mV25fGj/5APItFu0j4h8I/Fj5E+FniqYjnjMj/IUJW qenPulY//YQPJK4onjOFf5db5/4sfIX6WZp6Tf6a2ybDHhsgvCxsb/RTH520 lt4V36vifz/1u84UT1FYfy1EF4o+OLLNvjH1HseGWVFYBjZj/wvaaXwviTa8 8Ld+R/0MLSwLTsTW0LPNxX8yHx9fMnIcjngc8cC3xH9lYRl3g2gbUsvGN0W/ orCsfF/4zYXX2RzhDQqP5w3xDxb/QGw/9JvoJwivqf/4TeH+/44tC/G7eVdj 0Xdhnai9ofB3f139XJha7/dCF6TW9b2F/5ua/2Xx3lh4bV+q/q8p3C//d+fC 63+B+vlA/BcKvx65g93EGsaW1zNXsI7F8wA2emS7PdG3mKjrbugjwbjUdjH2 Mf7Cz4njmuOEz1Y/9QvPD7p7u9yyep/Muh+98STrXPAAMlzPThDftMj28L+C 8ciHiu3w7nqmlfCL0IPCf0wcu7gHeSL6INEPEX034Vfp2XnEwth8ur5PfBvF f3/qWMdPiWMG9wpvJZ7Vgj6p9X4zwTLRf0nsE49n/jX2W8Szh67/1Hh/EGwU neA7MQviFWtEezp2vKKpaM8LPmNOdH1KbDsW+w4bmjU5PPZ6x+c9R3131jhX 6pmvRH8qdhyP9/RlXUT2rzeWjmufrba2+FewnoTXEv6F8J0ELwSfbl/9/1GZ 49rs5ZHYt6l9oNXBD1qrezNix5Fa6/5XglN0b2+13wrOFL5A87q3YLF4bsHn YD0ztsI+Bv7FlqltCvy+H4Lu47v8hi9YWtb8jn9ZWtbgF52dWScdq+v9c8t2 Ykdbl44RDUbPlo4RLRF+Uu74/2J0ae68w0q1M0vvq3OEH6ExXYIsEv5M6X2C n3JvZjvwItGPLxyTr5k6RoJve2dhPdU4tp88MPN+WC/+uaV95kK0awX1RP8J nx49p2dnJNaTR2EKpt4Tz0aOlaAnjxb+qXgfD7ZTTfUxIrNtXF3t8Mw29jel 9WwdfMbCMhT5yRoflnvd/qj21dLx/e+FzysdI/5B+CulY/fYzcQhsG8/Ef0U wSDhd6nPXoLbhF+e23/EZ8Q3OjH4RwtYH3r/euEfi+fk3LmbRcxbbtmFj1+9 4tgKfveWFccdiCHUqDj+Uiu1r/925JgK8Uns/xm5Y2WsPWJnPfSu34Q/LfpW hf24p4RvWTjOsLXwOshn4S8Iv6m0HsWv36Ji34MYRbWK/dvnxDOitP6eKXxY af39rPDhpfV3jdSxW2ICz4heW/1/IPx54TeW1utbalw34hdoHh/Gh0j9rR/A n4ltn2Ob4TPjL6/Ws8+VzlGtEv5s6dzYe+gH/Bzxvy28Hv5VZJsTHwBfivhN txDDmY8OF8+3kf3Z1rnj7diE+Dn4YUvE0xg/BJuBfSP61ehu0e7J7CslovXT vVNFHyv8SMFQ4T3RUYJrsAF0//nS+blFgh2Rqeh34TsI/0F4d91fWFoHIDtv yx0/r4Rr8Jc0pnOEnyJ8cuL93FH4H3rPnbnzbvOF75F7/vbJLUP2Y07UTi9s 01RNrVuII20Uz4LS+oBc490htlamluXPR7YV9xbfpNi2317CJ2LLYUMKf1D4 B3rul8y2/ZzENiB7qg8+seAtXf8q/sNz71Nk2hW5857Ndf9zwVHoVLXLBEcL 30ftesFZyLjE+YrWevbexDmKPYR/rn4GCtarn13F+4XgGPSBaAME32LHa80u Fv6sxrcUG0qwTvQp+Mfi7RSZf2xuX3Yc+1r0PbHHRN9f8DH6QX1vELyD7lL7 Wen12lTtJ6XzLovwKwWfYbfwnyrOBe4kfGnpHMxHut9esFQ8d+pdB6S2Qz4R bTTyNPY4x+T2y/mPd+WOVSDfyM2Ql/m5tO33hp5/PPGcHY7Mwa4R9BL+XGLb /yThjyWe4x5Btk8NfsTziX2C3sgc/FfmDr2MryB4U/eeSDyvRzAnfPPSczc9 rEN0SlXN7w2ZdVZF7XXEEGPrqKty66nlhe1Y9ullutcEnSh8c/FeT9wTv0Ht TZl1BPLwoaAfXxd8kdlHYw4PzB3/QG+2ET5Z+BLhzxT2315MrGP7sNdYv6V9 m4W630nXU8TzcmKfhv1LvHdK7vgQevDhsPZYA51zx2mK1LbSc0FuP1I6p4D8 n1Y6v0+uNSmda62t8d6cWeYsUrshs7/JOjmId8SWbz1z+58vJLaPTlb/fwXf Ixdchmwo7C+TU5oVO680Wu3b2DGRbaK3g11E3KhOiCmNwp7GBgy2062CiZHz mEME05HJagdnppOnm585Dkb7bsC/S5zjiBPb0c2DLU38JBftQ/FcUDjmnyaO sdxaWDd/Q5ymCH6xrm+LHdP+NnEuCcfvAuw+7Zdqun4xc+wbHmze24PdSyyQ +B4xzN/VziaOIPw34S9ljoVfVzinSdxjnuCS2OsK23yXYJ/jO7QJsnFdmCPm J9Xcv4zdrOvjE+fRiUPi698Y29+fw3osrR+w+eAl1nShnnsu8/xiW44UPCj6 qaJVwSeKXKeAzMMuIoZ7vmC08C1K20v76F6D0vbYWYnt07eCjYp9mxHDiLwu ysR+6Zpgb5C/IBZDLpA8ILlSYqnEV9cG2wO/DF+tevDXqoT/CA82MDZ3HJlW Jfx31l2/sPZYr9sk1tdfqG2OrRb0LOuNuBzxvUP0HT/KbIMtzkxHj936//ZV 7PVdPehc9C2xyl9C/8cLH5U4BouvtlzP9SjsC49OHIPdGDv+9mZmewa58Vbm Z78Q/2GF/Whobwc6+adNdRKR8zrEfOeF/14k9gGIdTXJnYukloNaFvKwl8aW bcRYkEWvZ//5zvjS4Ngp7GdkFHLvytyxqW2CvU1ul70OD+MhP07sfm6wc34J dGo2qB9i/pEL1I7QJ7J2v9x6n/VNXoGcwk/I18J1IB1oC38jYlk3sEYjx6mG sdYjr4NrY9snB6NrCusLajm6F/ZV24Xvgv38s+j3Fu7nAGzYwvSRhWXdprVW Og9bCn8887pnzc/V9cWxdcGowjF8ZH8rwdWxdRny8YrYsYsu6MHCeqGlaFfF 1kdrcttYQyPvk6GxfRBsjDPQi9AT2z7YjfjyswrLyj90/5rcPiZ2IPm8f2Lb 85fmjtGRJ0X/Ig/xoYbm9q/xxy6I/V/I+/xeOg/0lPqZUzi2RY5gCuMQfY7+ 98WZZfMjmWUKMoLYyLLE+4Wc7+eJ5x9f47LcMU/yvJ8l/o/s52ti40/oPS8U zjkQszsfGS/6o+LvmxmnVuGSzLpgdeE6AWLC2ECjg46gtuFSwdPIMdGGxPaz Hi2cl6GegnzcY4VrKrCrxsTmJ959T2wbflXhugXi0geE/4v87KM2F+wT2d6c FWzOlsj+wjb9k2pnF44Dstcah3gFOgRdcm/supTnCq/vOqVrIagRIn47IrbM JC91Xub1/JTun1rarj9FtDKzfsSX7EcMRPg05Cl6Rc+/zLcqbY9jt5xODCPy +C4K62e27p9e2k6nz2mZ5/1JfPfSfsZnQb/wLN9hs/AtsH9OE3SLbDsyz+DE 3+4rPP6lYV8cjO5Wf6eV9mNmqO1f2kfELuqfmefBwnULxJ9/DTKBGB32/1+C +ollYp0gE37Bly88P9TEXZnax58abGD8F9bL3LBmXhVtYuG4N7UELSTDu2SO JR5XOPZ+m8bVq3Qd0CPB9u4ZdNGPQZ63x36vuA6sZu6YFLmkTqXlIDIQmwb+ ryLXLGCrEzeoEdYAtsSOpb893z3JXd+CTsaupjbluNDnkRXX3BALbFY4Hrh9 aXmELPpefbWOXeNRyV2vRe3At/pvM9XWEryDj1NxfdU6wSOibZU4tn166vg2 /6tB0MudCvsUn8eO/+1UOAZIHuCLIGNvCPKX+eS/HFFxPSV5IGojj0lspy4L 8pm9TJ3Xgti5LHJa1ERS40M9D7VnE3T/fsELseNh+OzErDYGHQaO/YGdhx1I veWq2LUu5Keoz+mufqboub6F7ZrWwW5ZHvQD4yeX8TF2dcW1a0+HPrEPsWuw b7BJngo4ds4PmWszDlD/6zPnHPdPHIfENmMczDl5z7aJbUBsQWJia/UfZ2ls l6eef3LWyHJia9h4xC7J26wIe3+yxtancB6HOq8nUtd6kfcmD04+nZw+dUff x863U8uyPMi/V4IM5L346sjhPrFtLOKH+LILgz+LXcDcxui+0rYa+gd99CK6 LHVsj/+Cvcp/T0TbLvGcVBPekDgE9mzqfYof8FHwBUaE/8V/IUdKLp08KTne TzLnebHPqS/7MnZd43TBB8Kfx2bU/3ogczz5qML6ZV7Y19/F1t3jCsfZbtd4 TyxdJ0U8kTw6OXTqJKkbIx74tJ6rwbtj5/NmCD6NnU+nboDc+k9hr/YKc1Yz ceyVnOzBlTB3sfcQ8ZwfdX0i8Z7Ee4vcLveICWwovL/wy8jjL4ntM7AviRXM TbwH0e/fF661oCbz/+sYpkRuqwX8DvVxUukaLvLY1KEhf4jv3RD8UHLTGwuv mXqp1w+1Lnw3cr58O77bX5m/HTERWmJ92A7UCWFTElf8MHMOGr2PvPwmdnyc 2tCHIssY6gL4P/j41HV/Hdtm66p+hoc4GLUX2MAfh725UjxbpF4zvJc4PuMi zkNc9JfC8/lM4rllrqi/ao6fHNn2eFjwpp47V22rzHIGvUsejvzFgICTo6Eu lrrED5H/sXNg5EGGFc73YSe8XrjWCvlAHdkemePq2AjvBDthRsDZ1wNj5/+Q jRMCTq6H+gD06Xux7QPeRT5okmgTBS/reorayezV2PIZ2b5Q+Dy1bam7070q 6ufB1DVL1Mo+GeyK/mHdojdHFM51Yn/ib1KnQgz2G3RJ6jjtbYXjPPjL3+q7 HFv4f91UOCa/bVjjrPUVkW0U9gA1A9jC7YM9vFw8u2bO75yjdrfMNjn2G3VW 2EUbctdCkc/Glt6x4v2Gzd4x2O3YIzODTYIeH184hj+jcG3SA5HrTmcW1jnE /6/OnWchXlMXPRY5rn5x7vxjY/GPL50X3z6zrMUGH68xdxO+V+Q4MXkNYsXU 3JHroO4OuUqdAzVA1L+Sc9kgeqvC64O18WDm2lbqWtvEzj1yPoI89WWFc2eb 9Jd4ztX9FhrLxNK5Z7479hm21z6F8x/4Wk0y50Dpa4/C35LvuFfhb8N3IUZL zpQ47e6Zc53ke4izkq8k1rqZeOtUnNckD0wt+Zei1yocl0bmU9dMbf/KyHnG ywuvyUaZc3TYEdQ0UaO+JnI+k/orcprUO11VeG0T0yXfR1x3TWo9jV6mzoU8 0h/hvXUrzg+Rq8emIqdM3UWz3LW+1FGSp6KWklw3OSXy3eTAyY+RB98z9nvI yTLH55aeZ+oK2qufAyPX05OzZL+Tb6LOgBqD24JMYC+jN7B10R2Mr3dsGcK3 Pyl2no5Y1qvB5sQXpO4OeUKOjFwCeQTqE47LHW8clFk+sM6pgd87s71xdGHb mz1CfUJXfPXIuSDiCegpclbsI9b8rWEfYUfdrnavzLoSu4iaD+o9qG3olju2 eQfxjNRziE9MTSZ7EF/ltNj14Zz1eEz0c8W3d+y1MyToPux27PK9Yq8dYgjU 5PTVM30j1xKfmDtGxxoZVHqdsK7Ry6zt/UrnyFoGOUZ8itgUMe0Tcsdaqeug nhtbHT+tf+waAOzXs+P/aicGBplJnR/5cvCpmeNfxL44W9Q7d5yTHDq1KtRC k7e6JHe9ATXRnBVaBT312Qps74Wp1zdru7rwyanrJMkz9MmdayB23SLEQ4hF jQq2H/Gu/TPbflP13v+lXm9PCz9BeE/hF+h+u8zy6vywBrDfiNW3y31Ogfh/ 29wxK+L/++auUWe/b1+xL3dV5pw7emRn5F/pGD3xRur78U05H0EtAfNHHBSf FxuYWH2r3PKNGGf7zHYsZw3G585xENPEr0IvcNbj+2BjUKM7JdjJxO44EwL9 7tLfnTp0ct8jc9eZE8ckToZOwTbDZ38xdj3YuNxxY+rG782du0RPjgm68lM9 e2nqHNP+4nlBcEnqb0yccQL8iWmb8oyl9zs1+JyVuCd37Ss1Azfntj3ITeya +7zMSZlrNpBXV2auwUDvkxch3k5sr5H4x5auVZof7ADW9g6lzyBQq9ZAvGcI dg+2w4BgS5BfJXaLDsVfi4OPRg0INYG8q2Fm3YPeoaaceD41WOTuqD0hL0Be jhwLuTnyeOSOyOWh0zhjhF4j58E5pK8j14hh71En9mfqM0fIZ2oisHWpi6CW nzNuqyPXdhOTJ67G/8B+579wjoHaHmpLOJdDvQf2D7V11FixR5mHbSvO2eBj blNxrQ9nEahRoV5lcOHaCWwDaveo20L2kG8mPtQstt5sWHGshJrtmhXXWCM3 dqq4DpJ4J3EA5BKxTOIDyKJDC8c6kPnoyh0qji+jExtVHIMghkeMgjgesTHy ONjP+C/NKo4FEI8njk1Mnjrn5hXbQ9S4YVuxH8g77FqxHUacg3g6Ngm6ecfY sVDqQ8lTzYns+5G/osaS2mpqRaivJs94e+7zQchWYoLYZpMCjk7nfMTfpc9F cN5keO4aFeLBxEWxi/A9X4stc4jfkSOitof4EnlPzjFNDuPENiDuQpyL2As5 nA+L/+ptaYlL48tTl0Bf2EhLSttDnNXaOXcekPNcO+XOOeK7kjvC5idWSS0l +TbyF+SViDVRA4VdT5yVcyWNctciciZxRO46H+I3m9Zg5DNcTXPnN4m7ktfC FyDHRV0l19SCXp1YR1A7emViXUb95zWJ7QdqpNcXzqsxb+xp4sns68Wl9SLz MTHMyajgIyBfiP+8Vnh+m2aux6UWl5jXS7HjWuz9dxPHbKl9Iv45O3adKT4o sSfOVvxR+qwFcVPutwsy7bfSMo7aMGKA9EsNybm5z0psqXZRYpxc//m5z1eS 6z8v93lJ8ukX5D6fSF3KoNxn95At7yWO82DvUQtHfcV2+FaJ67jQd+8n3hfL cu8l9hG1Ww0qjq1MDGsGm/ZN3X9L8EZs3+cNweux66KqB11JvAUaOuVZ9X1S avuKmBxnP+uHWAd9TIqc648r9luuCf4OcUdqlsg9UrNBLpraKvLRnCm+P3eN BznhTwvvN2quuT83ct06+eF5kc93VCo+70EtF+ci0Avkr6nn6x+5xqNe7npU zjRtn7vul9qMurlrJqn5PCy3Hifne0DuWlDs9uWldTw1xI8mtt+o/+yRuz5n Q+J6XmqV9xB9culaUmonPs0sH/Bffw4+LHG6frHrTzgruqj0uV90/aelbQvO J+6eu06VM4wtc+funw3fiPgQdQjzEss66r27VxxDYU8cFPYFtRuchSL+SU72 lcRzgp19smjLI59Zosab77Gd3j1d8FFk2T6k8NlD6sGezB03wCd9BXpsGmfW oHOuC3+TWD71bwfnztFjx58q2maRz8VxLpLvR23YIbnz7MQqqV2mbnlssFuw E8YEuwvbhnOKnA8iRzo62FqbzqWyXkrXH1PzRt0PObLZ6qtfajuWMxyckyVO Q2yes7Gsw5lhneNX8m17pv6+yMemQd7in1P3gaxD1k4OegFZPinI9vOCrU4s lPPf1PBzZvKH1PV81PIRHx6UuG6Ws4ENcteuU0dUO3eNLvVFtXLzUHdUJ3ft NPXAVySeQ+qBr0pcE8ueJT6Ij8BZwoa569upAR6a+Ow2dYacF60b1uea0vOS BR+/T7C5pge7izODcwuf7cM2/jH4DthvxDuIexBnoc6S/BH2JzFT4urYzMRJ yY/MCOuEc9vUJBwabGx0LX1jfxIfOKVwrpn4KWMgv/xMkM/EjDmz0zPzWl2X 26fCn8LfPCpzHfX/Aavt4ks= "]], Polygon3DBox[CompressedData[" 1:eJw1nAf8V9P/x+/9nDu+ZUsySpmJVJKV1dSgRKlklGRv0o/QnmRGiqKlzESE BoqKyB7ZM0X2nvm/nr3O//Ho+J7XPeeOz73nvsfr9b527nvhcRdUkiTZPUsS /UtWB/cPSJPkf8L/y5Pk+Kok2Vp/rxR+XeO7aHw/jfcXflM77yF8kPAVwo2K JBmhdpHwgcJva/5uGt9feADzhXcVbiZ8mfBlOm6DKh9joHBL4bJMktY67pHC 44Qba7yjxmdzPP3dSm1n7b+95rygfg213YQ3qB2l+TO1/yKN9dH8ZRrbWm0X jf2idrLO/7jGTtRYfeE6mj9e86/Ttp217Qz1H1V7o+Lff5HGHxd+R/gq4eU6 1nIdY536v2r/CzU+X+NvV3x/Tld/ntrrFf/e8zX+mPBbFf++M7XvEvX7qb+N /nbUvZql8WXqn6NtO2j8PZ2jnvArwgdo/531+0dq20ydr6vwkcIvCt8nvL9w PeERwjO458K7CI8Svlu4mXBd4eHC04UvFn5C51ut41+t4x+m7RPUHtHYdOEj 1L9NbZ7wDOH91b9JbY7wLcKHqH+r2sPC07g+9W9We0j4VuF91b9R7UHh8awH 9W9Qe0D4ZuG2Ov/hup7Hte1ebTtN1/KI2msVr4dc92Ou8CvCl/I8NK+62o6s L36/7s8DGjuaNSt8mI43XfMf1rZjOZ/wXcJ3C7cUbiw8VXiWcCuej45VpbaD 9r1crZ/6hdr2rHe1OzX/dc3fRud5geelsU3V6mhsoNpL6ndQO179io55ieY/ qfnvqj9I8+/WfluoPad+T805VOM9hOdqvIu2HaX+dPUPV78Hz0C/d6L2/1Xb N9H8k/T3MW3vpvGtebe0/x0av139ptr2hs69BetDc2tpW9D+D2n8Za5F4w+o /6DaS8Ivqp3KvVF7teL3dXcd73bhScL7Co/S/ncK/6nzbqZjDhKeJPy78KbC 9TV/svAdmr+f5tcTniB8o/BuwrsJt9bcicJNhOsK36rxG4R3FV6ha22v1lXH +k2tpfoT1R5Vf6bG/9C8e4Sfi+uplfZ/TdfwjnC7xOv5VeG3hQ+J78Mrwm8J Nxe+ROf6jDWUeZ/WPD+Nr1a/vcavFv5BeDOd5zbhpfr7uuZuq79nCM/S+Oca /1Pzl8b1MU/t3bj/rhpbo/av8J7Cz2q/tzS+nf6eKbyLxr5Q+4d7JdxGx3tT +D3hDnG9vyX8gXBH4Rbq76b1/5iO8b62TdT4h9r2nfrzNH6u+o00vlTj37JG 9duC8NPCXwk/xr1R+yS+r7dq/3cLj80VrmKssG06S/hy7feM2nrhh4Vv0/wP NP6N8COJ7cfLwm8KHyw8Qfg94a/j/Lnqr1R7OY7vp/GXhF+P9h37skr4DeGD hH/XfZml8z0rPBUbp7HP1H4Xfo37qfnfClfTvEbCk9QfrfVzjvYZrjl76e95 aiPUH67xAfr9K9QuzGxPJmr+XrofZwsP0xyc1hC1qeo3FJyq404XXhiv5y7h qcIL4vUGnes+4efj/Wqo/vlqI4VHCN+v+TOFn47rj/XRXud7WduejM+rpfBz wk/gw3Rty9UuyGzfDtb1XafWn3dfuLX64wvbjqOE+/OsCtuOZ/GvvKtql2Ze /ydqbK1aovEb8X+Zbf1/rD/sg8bWqaUav0nj7dX/srDv6yXcT/1pauOE7+L9 0u+9WvtPEW7A81P/IrUxwqNY75o7nWuOz+sC9e9Xu034UeG/tf8gzb+TZyP8 n/Bg4buE9xb+SP12ascJ76prel/9tmrHCu/Mb+D91e+rpv0WaH6iY2+v+/e9 8JeCO2v8No3fpLm7C++h8aYaP1nH2JI1XHg9zk99zCaaP03zZ2t+a+yZxppX +Rq34B5pfIrGJ2u8mcbvEd5X4500vkw41fzawn/p/GuFtyj8/vNsfxXeoH51 7X90xT44Ub9Q21P9XdQuLm0v+2ReXx11nIrO0TPa9DQ3PkF4Jx2zpvpjNP8S 4a01PjP38TsJPyNcQ3i08EXCWwnX0vn31jEJyrYU3lbjYzXeX7iG8O3CTXT9 R+n884VP0/zNNd5V4211vnrCmwh3Fq7L5Wt+lVpv4WM0fgK2UOPHCo/R+M3B 46dUHF/tpfFNNd5FeBvN30r9Ojrffzpfd22rI7yT2nnqj9X88wrbL94FbPyl OtYCjb+n8cEa/1ljnbX/j5n9WTuN7yFcU7iTxv/S+DHCvwvX1vhhhe337NQ+ 7ojC9vSe1DFfy8L2lNiBmG5HHW8H7f9D8P0bJHyccNDfa3i/9ffYKgIL+6eR +ttVuNDfSYnjvwPZN/fzwZ910fi/mePBfXSuQ4WH4jNYf8KHCQ/DB2ATNX93 4W0yP/8rhZfp93+l33K98Km5fTK++CLhzXi+mt9E838R3lR4zyrH3D8L9xZu VuV3tCUxrvYfp/2v1P7bavxw4Rn4O+HjhM8pbM8fT/0OHlDYXxL7ETMdrfl3 a/5iYgHNb1rY3hMrEvMM0/iLGv9F41Ow54X9K7EmMVIt7qPGB7AeNH4S76ra KOEdsVfEAmojhHdInC8sEV5T8f0/S/2n1T6p2L5uomMvFv5IeJjw2eo/o/ap 8Mj4/K7V8/ih4uczWPh5jf8ofLvwEOEXhH8SvkP4Ct2nFmpH61oncA90/EUa /1DjQ6P/O1ztKOJTYjz1D1XrSDyrNhr/pfn/av59xHvqP6X2ccX+53KNLxX+ Uvhazif8rPBa4XHCC3St9dU+wPepPaT+9mqr1N9Jc55Ufw+194V/U7uB+JR3 Tu1J7AFxl9rixOt/DP5Yx9+g/v3a9ryu9YNg24QPPVa/b6HGP9D4EG0bqPnP Ca8Tvk74Ds3NiCHV7675Uwr7z310nMOIYfW3lVrn1DZ+cmH/tTf3BZ9A/Kb9 /9Hx7tUxhgqv1PjPwpOFZxT2V425r2m0W5pzVrRfO2qsttrZ2E/hYepvovX8 N8+ANau5nYQ/Fd6DNaRzfZjZtr6K29P8XO0A8gEdfxv1d1A7Q3hi4jyKXPTc mE9tx3rR+OXCNbHn6tdS6yfcGH+l8RuEhwlvL7y9rv964SHC27E/vk94kHCt xPlafV1fHV3TucIfZ77W+hXnfDM0Xq30b3laeHPWKvci4vn6+43wwfrbnd+j 8e+498IPCY8X/iva2pPxETreLTre9fiXxPnhz5rfRvh04fv092t8TcX5MPkB trSV8PFxvf3JehZ+Wfju3P6qpfAS4Vuw/8Id4vlPVv9mtTHCteP6w/a2F34q +iP8z9qwMQRJumrsS/X/xpbpeazimrWtifoXY390rBq6X9vFNX8uuVOV3wGu p4bu77ZVfs48362Fa1Y5zyW//Vp/v1KrTmygY+4U44Nnta2ONl1dOl6+JrMP WK+/o9Vmpb7Hb2j+rhofm9lntC1sj8kTyQ+X6u9YzctTxxvtCvsfeADy//X6 u5Dci9PjY3Sc14JzJTgO4qcTte3s1PkR8dBJwuekjjcezZyjkpsSzw+O8cuG 4Hi0nsbqZs5lm2q8J3Y+2FaemTqeOoWYF1+rdrz667StGr5d+EYdb78q56n/ i/Fub2JW9Wuo9VD/p+C1fYbw/Mw5K/Hmh2q7xXhnWXC89lVmXzYt9ZqC6/hU z/zyxJwHueQHua+XnBLu4rPI/fDukat/nJvbIGeH+/g8NzcCB0Ku+VHuXJ6c E27jzdzvEhwHsR4xH77s0GCu5o3cvgnOBl+Fz8K3nRbMpXySm4uBU5mR2ffC ZRCjwxV8mPt5wRnMhmsRPk94ecX+brTaxalznJExntlADq/xJzS2k/CVwpNT +7+xapekzjHnaP77uXNr1j6+HJ/eR+0CXd/95P65fftKfIjwauELhV8gtxV+ W/h84RXYVOF32BfbXnGu/l7ud4mcHX6FXOD61D4Kfqa/2g2pfRh8zMVqY9Vv pdaUfI6YVPsegH8pnA9vxrrTeHvyWzgBjXfW+L7C7wtPEd5f+EHhLavMd6wU bk4+WpqjOEK4hfCnwvcSXybmW+Az4FdaJeY3Ptb4zIr5liOEPxG+R7iN8CHC HwnPEG4hfI+ub/8q+2H870ka/07jCzTeW+MdhL8QnkO8KtxReI3wQ5XInwh/ WZpPge/pJLxWeJ5wV3wsuavwq5n5tV7km8JPqn+Kxvurv740B3iScD+N/0SM Inya8CnC3wsvrJg/5Dn/UHptskb7Cv9IjCDcV7in8DfCTwifLDxHeCv9vm11 j17EPhNXCtcSfkn4e13XJLXHUvsM8t49M8dC5L/wZ+S6o9VvkZo/I7ccldrf kvfWzxzbkP92V//HYF92uvC5wg0yxy7k0HfGeLJZZn4Ofu8ytRtTx0zwMQPU bkodE8DnXaJ2jfptyL8y23vW/xDiq+gPPhHuLXxyjGffD+YHj9X4F+p/zL0k PijM3xKXEI8MLs1vTM4cs76v8X0Yz5zjddHfzzT3I3yV8DHCnxAj4PuELymc /8Czwa8NKJzfzRXuJbxEuKHwddrv/tRc1bLcuSWcVY8Yb78bnP/eyzrMzGfC CXyr/ni1ual9Nr752dxcFj4arnhpbl8NZwzX9VxuLgzOi/flp8K5DhweuQ98 Nv4av/1L4XHepRoVc+tHlI5niGuOUfu18NrtF20msUjj1Pzw9sRquWOb0yvO LR/PnRuSY5JLzo+5DLHZdsJbl55LTER8Rs5ErEbMRmy0OLc/Ikbi/eH8xBY1 hTvq+v4ozHe9qevINP8B3mHhZmpB+BaegfpN+I3qX1h4bHO16Tr2P4VjYeKD DuR6hfm313S8v9X/U22OxupoW7sq8xuH6PeOCeZKLlULFXMmbavMx1Xn/dB4 myrzb9XIFYXH5z4esTQxNbHeotz+kZiPWG9h7veFmI/cihyrxDYGr1U0B3Jr 1iy2DJuGbekl3LrKfNZfwp8Hr0VycrgF1uT6wjkzuXJVxWsdTo/cmDXPWj+7 cK7GmmftwlG8mXgNHyi8Gk5C4ws1nuMrS+f2We61faXwkanXOPHulqV9WbeK 1wfPG24ZToJcuJVwr0rMibGFuWNlcjq4hSdy53ZwDMTSC6J/JqbGtjcsbbux 8d10vEN0faeqvym2svD1nQSumDuA37sgjRyCcE21Eyu+BmL75oW5EWJ8cu1d S187OTdcAPEq8ShxKdwG/O21qTkO3o+vSnPkrFHyheuxMdxrYu/Cx28U7z/c 07/aZ2FiDgpuf0NuX4fPe4v8Infs35SYVHhs7lx4ovAbwnfF/e8Xfk34JnJ6 4WnCbwvvAqeBbwz2nXuV5gLwofi+vUv7UnzgavV3Lz1/fMW53j/xeOR87wg3 yO2b2+t4b5b20Vzv/GDtZk1urQENB27+5dxcFxw9WsGq3Fw9mgFc/0u5tQM4 f7gDOAS4sxOCuZpLY/xyRbCW8nqMv9BU0E5ei/PRUODW9oz2tF2wNvZFbi0J jQzt5dXcsQExAlxdk3h9XYJjlQalfx8xy3vq1y+tRXB973JvSnM1aApwKXAq cEkjgnPdH3NzK+S8aC9fxnE0GHKbZ3LnDuQ4cAe/5+YK4BDgLp7OnfvAYXwK f6bWoGJ94t/C9opcqK62HQX3VZgLfBeeQTgtna9+kJn7eCo3FwIHAjfxR+5c GY6C3PnPuJ7IoeEOfsidq8MhwL0Mi7/nhmAu4u/cuT+cBLEaMRux1LHBXMk3 uX0XnAncyvrc3AkcC9zF17m5FjgMuJB1ueMLOBG4jO9zcxdwGt/pt7UpbLur V8zdfJeb64DDgWtYmzvegHOAu/kqd3wBh9NZ/XXa9mj0d+hvPFOeJWtun9zP lGfJM34p8mmVzBoCeR36bM/E+R15HPpuj8T53NzMHD7cPfNPE55DjpaaY18V +bgsswaBL8An3FKxJoMW0qrKui2aCLYbGw6vAp+yMrOGDH8Ox45vwcfcWrHm 80lmDRntGA7g2sx68wmJOcjHC9tsbPXMxDoremK7xDkKWil8E1oDMQZaK3wU 2gqa6yPa/4Aq/yb0Lfj+bTNrN+i76LrolWhRcHbPZuZw4G6+x0dm1gPhGsiJ 0X3RK9Ga4ADRjdFP0aLg9PAxddTuSB0vfZ5Zo2Pt8w6gPaDHfFNJNhIA+GJ8 8rcVaw6LM2s8UzX8RerYqbnamtS/76nMmt60xNuIpQ7KPJeYitjzSWK81DEo sSf3Dn9HDMr6Hx3f1wm6jj5wmYXnsg/cExwU+RF5Ul/1ZxXel2MsycwJwgWi n7F/iypr2ORLT8R8anpiDQ3dEM2H54V+CJ8/Lb4LcPhj4W+ib8PHwZf/GWMb OPWWwhOir8Hnf1RYH+I58XxWZdaMiV2IYb4urCexHfxwZs0KLYH1i/YOn4k2 hwaP1neE5jfNfL3ogGhYrCc0v7cL6+nk/eT7+JMx0f7cRn6q7adm1u7Q8OoT W1VZw4FvILYjxqOugnoKYjNiNHRm9OWrOJ/a3hVrSNhCbCI6D/rOl5nfFbQl 5qzJ/O6hle6lv59l5i/hftBQ4NOonzgzMf+HLcWmoiOhH8ETwqnBpcGxkZen mY9Ffv5PZr4Q7giNhhjoQLWGFcf7v2bm4Hgf2urv9fx24q6KaxDWZV7LaHVs IzYnRn8lc83J2sxrH22NYxKLEJO8k5lD+ykzJwcXx/y/MtdrwHXBwf2WWR8+ Q/hI4T8yc4Bwb+z/S2b9+fTEHB9cH7kq1womfoeD4/VrGMylok+Mq5hTJd5H Uwpcv/6zpfpb5OZG0XCq5+Y20G76YK/UquXuowndiQ/LrMWieRHLEdOhWxGT Tclc37A0saZze2Y9j+dBztpX/Qe4Zt6/1Fo+fDLa9aMxxkXvX5I4vyPGRR98 JnF+x7uySe74kXdm89xxLfFt34g3y60tETMSn6KBZfiW4HwFTvcz4f2D41k0 Cv1LGgfH+3C8/wk3C45n4Yi1KWkSHP/D+W4Q3i++29y/0+I7zv3jftVLHFOj faMv/hP8/tQorSdRx0GMzf1HY0Nb4xifV3z9/BY0Nmz7i4X9FTaeePTG6N+n BvtjNAb4s6G8r+pvTr2V+s9r2wM8X+EawfUo5FPVq6wZEKNM43qFN40awuzC 9QKtda4uOud93E/hrTS+Ap8lvKnwlsLLE/P9f5fWW9BXriFfE/6VtZI4n6qw PoJzNOIj+PzVmXO67yvW0uCy4egn8yzQ14hVNX8K954cOOod1IPB48Hn/ZS4 3gzeEf4R/au/5v9emguDE6NeDJ4RvvFHYlzWgo6XE3smrkeDZ4Rv/IEYTON/ ERNVrJ9PFa7S/E00b1Hi+p6yyvoLevS6aB/ap/ZvpX7fb6XrPLBR+CL0EGJH fNK1wv9q/LeK9fXF0b+1S625U19DPQzcwC7YwNwxP7F+/cT2EXtWM3V8QqxP zH9zxTkB7zl5ULf4vpNbkGNcVXGO8oyOPZr3hGOpPSU8kjWHP1ZbJDyctaz+ 54ntM/a7Vup4hlyHnGcg75/GfwmOW4lfqT/6l3dKeKfE+vtvwXEy8TL1QKxd 9CtiU9bwzcIpB9K2BxP7f+KBDqlrCtC7OBF6Evra9cL/EeNWrC+tjfabfBaj dx32q7RGco82PRccxxPPr+U3VpzHkkuiQZ+iuT8T81fMlxTwF6XrfLDBvdX/ pXTNHTaX+PuKmK8MC9YX0RuJdYl5h8MfEEML35BY6x8V+WM0f/znNYVtHzaw gfrjCseivOPkP41ivtU55pusOdbafTG/OizmRz2D8zdqrHbDXwTzS2jS8DcH BfNPaETwOwcH81n1Yv5+SHB+1jjme8cE81F1Yz7fPDj2JgZvgb8MtvfkyNhe bDDaIBohfCO8I1ogmiB8I7wj+dbAmG8OD85nhsb85frgWJ/f21K4U3D+MyTm F9cF1yfAEWBbqcEi/4Ozbqvx44LfDd4RuOsOwfkHGjJ6w5Dg/G1wzEfGBdfK UTOHHoMuQ60aNWvoMegy5L/UzMHXtdX83rk5erh5OPkTcnPycPFoBN1zawZo BWgUJ+fm8OHu4ejRJ+Cc4Zr78ntyawKron2iXok8a0Ri/ZT6ms/w44n1e+qL yMvIz9Bfr9L+f2j/9yvWb0/MrQmgBaARoJdQE9pAc88K1gfQHNAaLgzOd6k5 5LdcHqzPoFly7f2D6zfWx+dLjRX5PzYJW9QmWC+hxvJr4UuC9RtqWLkXl8V8 nppXrmVA5BuoGeVe/C9YH6Lm8Cvhi3n+wXko+Sj1DOSLaNTog1cG54to/t9r 7OrgfBSNfl/uRbC2dWnp+BuNi/oSaoLRduFE4UdZD9QSDNb8bbXvY8QzqTVJ fP3lhbUyfD71D9fG95OaQbQLOFly0xOD60duLqzXUZNHfclNhWtBqdlDK0Ez gcs/JfI5aCJoJ92C+Rw0DbSJ44P5MTQQtInu3P9g/ht+8BO1BsF89p+JOXHq 4R7NzZ0zB310Xm6unDlfxvXWR/1Tg+th0ADR/qhpRBtBI0HL6B2sjaCRoJ30 Ca7/qS3cT3PL1PWJVxTWBuBI0YbQiAbE3AfbjI3GN98ZbJux0Rt9d3A9GjV3 aA3NU+97aOH4l2Ngq7HZ+OLJwe/m87lrxXhH8aX41G+EXwyuTT6ocD0tuSpc HpwetvuMYN+KjyXWuD24Hm2ScI/UNbfUYw4srHXCAf8Y3w3qW9BkiGWIafAt twTrzY/k1hL+SBwbECPgu2/i/cK2F9YSJqXmt+Gv0Somqv1P/csK58onqu0Z rEdwLDQKuA84kNPUPz1Ye4JDhzsnF0FbRGOk/vCuzLXY+xauvYErQLNEb+b9 2KgR61gNC9caYSOpt2xcuNYIzZZa7/0K1+bADewovIvOWZVaC9q5cMxArMA2 tA40D+r5qTGilnz/wrVBcANXxeeF7z9L7RnhpwvnhtRU7qn+i7ljga3VDhR+ Jbf2XJt8X3hxYS2cmsBF6i8srJVTM7h3YftO7EPMgxaNJr156ho8+i/kji3Y hu/Gh6/X/Bc03lP9b3PHhgem1rN+zW1rqGEkF9iB4D51TtCpsD7NemuYup5u G2I24X8Sx/7EQIQs5ADEysTM42NuPbjiegRsCRo8sS8xMLH1DG3fqnB9w0fB 9T7cW/g4Ylnu8dUV6/cb/GptrGWgpiFLXfPYvTBfRyzLNxG1NF5N274Trq3z H1NYjwc3Ys0X5vOIbflmAj1xy8K1RNQU0af+4sPgbdupX7OwbUSrm5v7mrlW apQGxftNLQA+E/uLfaHWbvPM9aTdiI9S15suK1xzPF3zl6WuZz1S43uk/uYC Lua5wmNwMivUn1/424Hlqbk+OD/WLnUHrC84L7iup1LnVuRYrBVqOOEmiLGI rR7MzP08r7YiNQfEenu4cO334tSxGOv1qZiPUn97EP4/tY1Bn4LfpBbkSrVb uf7CtR9XpeYO4RDh6qgreBb7XJi/oiZ9TFzfnIuagIM1f2nhMerW0RvnFebD qHmeoH6H6L8Hqc1Uf3nhe4GG3y1zbQ1rsa/wGRr7K7fW2in1tzCHl/6ehm9i lsX7i/bLNxXoP5yTc92dud4Xe0auQwx9h/DPuWMRaprRZ3/JHXsckVqrZRt9 ahBfKMxhzkx8j6mtbqnzH5xaa+5VOGYhVmEbtVGHltYj0SXx9eRsxEL4fHx9 18K1Lti0F+Lzg3t7KK4P7gfaNt+UnMpazh0rtU5dnzpAeGjqe0C9MzXiaONo gp0L14N8q2Pvgw8QPi/3u8I7c19hvQ3uDw4Qbpbfx7kXZbbFcwrzydjkqfH8 ExJr3ndF+4JWTo0F2jk2B1tDTeYQ9Vfmru2hZmd4YXtN/Hph6tiZ+0+tOjH0 lHj/0caJsU+P6wWuipyT753wp9RqoBET+/XIvXZYQ12ELxAenPqeEzvdVliL J4YaF+0xtebkINRWXFGaH6TGgtooaqT4nmHLzLVJ1Cidm7rGemi07/skrilC j+cbAPhpvhmYFdfn3Yk5Vo5PDQe12G0y17a3Ksw9UnOE7T4b+5LahnNuvsmA v+YaiAXOyW2bsdFwm3CcrG2+G6Je7czC3AUaIN8znJv7WfPM4XLhdOGCF2S2 3czfWFuXOrbjGwtqsa6I/ohvGOA/F6XmY7A/+LaHtP/Iwv6V9cA3a+iz3AN+ +5EaX8CxC/OzfFNA/f5sXc/trNXUuSH+jmOTIx6k/Z8sPJfvEBrF9QZ3SQ5+ dOH6KO4N94ja5XqlYzVqmOFW4FjqRi4ULWJFbn4VnhVtY3lufhWeFS3jgtL8 KpoG9ol6ftbW7MxcNN8swM/BSfPtGN+QoV+sjPHJwNK+Ga4VraRfae4DzYRa KfRs+ER4RbSAn3Lzp/CofOvHb+a3cv84N9eAbST/h+vmGwr4RDhvuGq+iUGf gLOm3oL6yI3af+r6GOop+f2sAerVqH+kVoKYiOc/qLTtuCn6i6tKxx5w2sR/ bUvXDsNpEe+1KZ3LwwnBbcFxwVVMCvbvR5fGcFxwBVnheBTOAG6hUji+g2Og VuiQ0rU/1AxRe0QNErhfsNPvWDr+hPMgPmxWun4AjYz4vmnpfIEaJrgTOBS4 qenB8XT70vWhcCBov2jAu5LLJ46n+5bmNuCo4Mr6R/s8MJi7gMOAu7sxmMsf UpoPh9Mn98Secz9Gxni7Xen5cFp8b8H7TW0W3wDBtXUqXQ+Rx/ygQ2luBg6H /GPf0vkQNVrUG1DDzf2/RvMvKp2jk5uTE1CbSc08tf/UaFKLyTcB1GJRk4n/ Id/An40K9ofkg/DBg4LrP6mvJb7GZmIbiKGInbAR+F7qu2pltp/UC/I9D7nK dvH9ZM3yLk7LnI/wjRnxyCaZNU3qp/A1wxLXnmJP+NbgmmhPDy/8LQJaJTWS 1Hdii6mRQiOlPgtfyTMhP8bP4m/hAIjf+eYKe1TGeJxv2ohnqmXWaKkHI9ca SgxSsR5ILHZ2Yv97fsyPLw3OJ/gGC/uUZ+bzTshcW0pND/UVfNOAnt4qmOsf Vbo2BM6fbyH4JoLnSW0y9SbUa6AnoH2h9Qwvzf+j+VxYmoOBe8EmwYXzjQX1 DXDi8IW9MucScIpoS0NL67loTOQDwwr7SnwmuTAxK7EqOTG5KjkNuQw5a+1g vQJb+3riei2+38LWwzFSS05NOfoxWi1a0ojSegOaEvX5nTPXjlFDBr+J38P/ wSl+kblmekliLZT8v3Hp9UnNJPlIn9LcIZwifCR5C7kKnCixNzE4tX3UQGM/ 0ZzxVauCv6U6v7AWiGZLLTQ5P7n+p8G10OSo5JMfB9cK9ipdO0jNIN8jobmh tfHNEOPkAMT+T2BvSmtoaGfUfA+tuJ6ZXIiaao5/Xml9ippr3mc49OXCs4K1 g+NK2x80BLSGHqW1BzQHakN7ltYeqJehtpEax/eEHw/OhcgvqO2i5pvfd35p fY6ab+qvyXvIf+Cs4ae/Ca61puaa76+owUB/5htMtAk0irc09nDw9y33Fv52 g28WuT40kdWsnWCtBM3kHeF5wVoHmsfbwo8Eaw9oEPyee4JjH+K3tYnXAFoA /Cy/795g7QINY4Xw7ODci5qKN4JzMGJPapJfDn7G5HbUm6xJ/BvrFK4vgYsP qXNRaqZfCo53uJ/YdGz5Y8F8/nfBc+HweR5oOqynB4NzRWo83grOGck1qQF5 JzjnrKvzLcld216wJgvXo3wuXEl9f7qX/j1oSmhHXUvns5vF+3V86fWARoRW gmbC+nsg+P50Kc0PVcX90aB43nPi/T2mNF+ExsO5qYlZHHwN5LLUmL8aHJ9z r6jRWRJ8z7Dd2PCz1H8l+Pl3K11Ph0bFvdxYsxN8T6nlPbA0P0dNL8+rc2n+ Cc0JPmn/0nwfNWLwZU1K83fUFOPL8ekrgjlMancPKO1/qOHFd+BD+P8DUCNM 7W/z0nwcNcDEBsQIzwdzqNQuH1Saj6OGmdrhg0vzcdQQUztGDVnN4Bou7A31 RnzPgzaO7cMGoseuCa7B5PsAuC1qFqlFoybtv4prxOAzG5WuB6Imm+8EiRuJ H/leED3o2+BnjwZEzSPfB8D9/X/NI/XCcENwRHy/R85ErsQ3yMSm1PCvDI5R qXWj5q16cA3cKYVjdmL1FjF+pZ60nsYOCLbd2HD4nsOF/w8EvlIc "]], Polygon3DBox[CompressedData[" 1:eJwt13m81mMax/Gn85zO02oyTXbSiqEhxVRMoaaU9oR2LSKq06K0KhGVFpml 0d6EVpHSqhlLCWXXJsyMkIyyrzWZ9+V+/vi+znV9ft/rvn+/33P/7vs6VXoV tx9YkMlktlNJ2pPLZKpTs2wmM9OFB+kiF96gNtgceV2+mvKd1ASbjlXDqsi3 0WXYCOwkbLexqtDl2GhsDFWUn0J9xLMK0sT75edSW7652Dw6G99KDbDh8kqs s+Wt+B7FKtA27Gb5tUWZTJ0SmUzVwkzmLfxBvpb4YnE5eprvXOxVaip/wHg1 sHPkr9AfsRlYdayHsRbSFOMNMV5dmhvPb7ylfL/Opvc1jacelXW9N93Ov43n CprI86nxDtHzPM/REp7ptJKvN09L7HzxadhO/puwVtgF2OnYq9ggbAx2C9YZ +x7ri7XGamFnYK9jU7HKdHE2veN417fJV7vvrnyt+d537X51l1BpeS8a6trk eHeUk/ekIVix2tHYzeJO2Ldq75PXppLyG2mwa+XlC2iyeDC2n6+n2muw32Kn Yi9jPbBbSiZ2CvYidnesH3ym+Dv3O9873SFvTA9g32LfUGdjXYndi/1XPoNv utoW2HwsRxuwifE7Yn+WH+Vbik3FrsbmYiVpHfaavCk9JM/Qz7zdzfEwzXB/ G9zfxTRFbTO+2Twl6DH2N+LZ6O/yslSGpvE1x+aJi2g93y3yjsara7xqxtqF /5BfG/eI3zHnfqqs9nmqj90u/43aBfLjtBwrTZuxUqUymXZqV+TnjLlLxu/D 15cKxZ/ybfJ3Iy0y5xiaZ/5u6s7EsuIj6p6li+QTaRC2mq+QsvKbjNWHCsSH jHeSv5XoIzVn0JvYie6lkzHXySvRSfG982xWV0fcMb6HWNfY01jd+BbiXWNd 1Z2BF4gPY//MpnVxI/5SNq2XWCOn82zBL4nfPN5/ibSm3sOGZNMaCt9wbBht Nfyv8FZ4l1yqj5rPsC30k/wonekd/8Czhw7y1aHerj+Jr6FJxj9Kf8W+ks81 7gT5jzQd+wSbjvWU76MB2BfGuFF8F/1A07CDfNP4JsuP0Szs69jXsGP59fe3 bFrfsc5/zK/7Gdm0Z8Te0U9dL2xHNu0RsVd87Rm+oYquf4W9Rv/mqUWd+JbE uqeWat+Kemy1vL15u8n30G3YEf6u4h60l/pjn2PdxZ1oF/XDPsNuiO/KnEeo jLEWxTo1b0P8TbqB71GssTm6yHfTrdhhtZ3FF9Lr1BqbzVeHb5SxXsAaYdcb q69ny2DPYmcJp8S+6doEY5SmFvGO+PbSIr7R2CPiR2mq2rLys+nS2ON4W9PD xroHe5fnGLXEFmN3Y/vkPxWmccvLG9Kdag/I29H5fPdi5fwtG8/gnmaZ96B4 dKxZtePN2wH7BBuDnR37BjYBG6V2gXwhFWOfYkOpk3h+7O10Mk81uiqbzsE4 D3fzXEXV+e7nWU9/Mf5Ivibi2fSUa+/zDKCO4nnYVrqKbyjfCeJJ8W5caxfr Entb/h01NcdZ8kY0zrwfyvvTaXEfNCXWgbxvQTo7+mP/wtoUpnPkVvkT+Lve x0b8Peotf4eKxV+63kv8ZHwb4v9gbdV2K5HO6EP4WKxKYTqv18gH8h3A2mHd Y47Yg7BXsukcjPMwzqLt+BXYDYXpXGqGNaWW7mVl9AdxdskH01NYIe812ERj Vcil3/DK2O+xtsYaj70h/oaaqC+n7jB+H98H8n28Y+O9x/6OrY13T8v4+sXc 4mfi93Ev4/hmxXPzPYs9RzN5GlIF8RoawTeT53+00NjHzbEytsVS6UxZlD+L 4kwapO5LOiHWPbVQf5m6C/iuc/1xrA3ronzf1C6bvvv4/muom1SUzvEVsfZd q6X2nOgvxA/zXKH2Aqxm9CHYYqwRVj/O6Oin4rzDWmG1sfOw9tgyrAnWADs/ zjhsVXxv2HlYDaw5Nh+7JJ7NfYyn/u6lu3vZFnPl96vO2bTnxt67Sm1nbANW I87HGE/dDno8vjWqaIwq8qrxvfL8SV1Nvnn5nvXqbOobo3+cle87/5BNPWz0 sm/n0rm1HqtO1WhO7EvYEvGJ9ILxKmHr4l3Liwt++TkyC+Xt+R6TnEw7sGVY R+xJeWXahfWL3yd6LPdaPc4ZfBFfB3xVnFu0k29Xvl+rLR9pjlHxXfI9R/Ww IdEn8y2VXxt9HHYWvR29t/Hviu/fHD3McTyem68t3zJxRXqRbzl2HbYm9iba Hec5tp5qyQebQ3nmZPkG+h02tCD9H/BWLvUbK/Pne5zzp7iwMfZC8bCCX7br zMrY//mewqrSXmwFdj22Nr5z2oOdim2ii+R3qHU5M17+PU3FPsamYo3iPlzs gq3FOmBXRx3WA9uIdcMGYx/S8HhWbCA2RP4R3YG9hBVjQ+Uf0wjsZWwQdkfc W1Hqw2d4ARfScGxO9ETYAHktWi0fE7959OzUQO067E5sk3wjLY57kT9elHqt sdiP5vo+1h6NjLVi3p000n18HvtxvBP5WLWj5V/GmYTtw8ZlUg+2nwZFD5JL /dgIOhJ7VvyO8X8UX5no4+k1bGv0C9ggngM0DNuODYizVv4FTYjfB7sTK5Z/ QLfHmo8zAGsWv230ANgGrCtWy/h3F6Uz7AnPVhB7bOybRel8uU9enlpHr4b3 VfuM2t5qR8Q5W5TOq4d4GlOr6Afxm6L34+vFtyqXzpA4Ny7LpeceFn232nvU 9o/eJ/Zs+eX40PgO4n1Gv5t/z6OyqZ+OvnppLvUw0bf8Ppd6kV5q90Y/apwH Y7837iP5/q+P6/9Qt4WW5VIPE31LvVzqlZbnUu8U/VL9XOqVVuRS7xT9UoNc 6gPjfr+STxLfVpjufUnsB7FP0KW51FO1EF8s7inebM4enqM5Vjv6SGxT/D+C /R8GTOpT "]], Polygon3DBox[{{1366, 1492, 872, 1047, 1908, 1365}, {1383, 1500, 881, 967, 1886, 1382}}]}]}, {}, {}, {}}, { {GrayLevel[0], Line3DBox[{518, 1, 506, 253, 1300, 16, 356, 1308, 31, 366, 1315, 46, 559, 1678, 373, 61, 561, 1684, 379, 76, 1685, 380, 91, 1686, 382, 1367, 106, 383, 1390, 121, 385, 1398, 136, 395, 1405, 151, 563, 402, 166, 565, 1708, 408, 181, 1709, 409, 196, 1655, 347, 528, 211, 517, 411, 797, 212, 798, 213, 799, 214, 800, 215, 801, 216, 802, 217, 803, 804, 218, 805, 219, 806, 220, 807, 221, 808, 222, 809, 223, 810, 224, 1107, 353, 529, 225, 516, 352, 1461, 210, 410, 1447, 195, 343, 1433, 180, 340, 165, 1638, 333, 150, 1633, 323, 135, 1624, 311, 120, 1615, 302, 1388, 105, 381, 1364, 90, 294, 1350, 75, 291, 1336, 60, 1591, 284, 45, 1576, 274, 30, 1567, 262, 519, 15, 507, 261, 649, 14, 647, 13, 645, 12, 643, 11, 641, 10, 639, 9, 637, 8, 634, 633, 7, 631, 6, 629, 5, 627, 4, 625, 3, 623, 2, 1108, 354, 518}]}, {}, {}, { Line3DBox[{623, 812, 1927, 624, 1297, 823, 652, 1277, 2128, 834, 663, 1280, 2129, 843, 674, 2013, 852, 685, 2019, 862, 696, 2028, 873, 1959, 710, 884, 1973, 725, 1298, 2133, 895, 740, 1283, 2130, 906, 751, 1286, 2131, 915, 762, 2046, 924, 773, 2052, 934, 784, 2060, 945, 798}], Line3DBox[{625, 813, 1928, 626, 824, 1939, 653, 835, 664, 2009, 844, 675, 2014, 853, 686, 2020, 863, 697, 2029, 874, 1960, 711, 885, 1974, 726, 896, 1985, 741, 907, 752, 2043, 916, 763, 2047, 925, 774, 2053, 935, 785, 2061, 946, 799}], Line3DBox[{627, 814, 1929, 628, 825, 1940, 654, 836, 1946, 665, 2010, 845, 676, 2015, 854, 687, 2021, 864, 698, 2030, 875, 1961, 712, 886, 1975, 727, 897, 1986, 742, 908, 1992, 753, 917, 764, 2048, 926, 775, 2054, 936, 786, 2062, 947, 800}], Line3DBox[{629, 815, 1930, 630, 826, 1941, 655, 837, 1947, 666, 846, 1951, 677, 855, 688, 2022, 865, 699, 2031, 876, 1962, 713, 887, 1976, 728, 898, 1987, 743, 909, 1993, 754, 918, 1997, 765, 927, 776, 2055, 937, 787, 2063, 948, 801}], Line3DBox[{631, 816, 1931, 632, 827, 1942, 656, 838, 1948, 667, 847, 1952, 678, 856, 1954, 689, 866, 1956, 700, 2032, 877, 1963, 714, 888, 1977, 729, 899, 1988, 744, 910, 1994, 755, 919, 1998, 766, 928, 2000, 777, 938, 2002, 788, 2064, 949, 802}], Line3DBox[{633, 817, 1932, 635, 828, 1943, 657, 839, 1949, 668, 848, 1953, 679, 857, 1955, 690, 867, 1957, 701, 878, 1964, 715, 889, 1978, 730, 900, 1989, 745, 911, 1995, 756, 920, 1999, 767, 929, 2001, 778, 939, 2003, 789, 950, 2004, 803}], Line3DBox[{637, 1000, 1109, 819, 1933, 638, 1009, 1110, 2075, 830, 659, 2008, 841, 670, 2012, 850, 681, 2017, 859, 692, 2024, 869, 703, 2034, 880, 1966, 717, 1054, 1128, 891, 1979, 732, 1063, 1129, 2090, 902, 747, 2042, 913, 758, 2045, 922, 769, 2050, 931, 780, 2057, 941, 791, 2066, 952, 805}], Line3DBox[{639, 1001, 1002, 820, 1934, 640, 1010, 1111, 831, 2116, 660, 1253, 1025, 1147, 2078, 1183, 1184, 671, 1200, 1026, 2108, 1153, 1257, 1258, 682, 1266, 1231, 2126, 1265, 860, 693, 2025, 870, 704, 2035, 967, 881, 1967, 718, 1055, 1056, 892, 1980, 733, 1064, 1130, 903, 748, 1255, 1079, 1165, 2092, 1189, 1190, 759, 1213, 1080, 1171, 1261, 1262, 770, 1272, 1239, 2127, 1271, 932, 781, 2058, 942, 792, 2067, 989, 953, 806}], Line3DBox[{641, 955, 1003, 821, 1935, 642, 1011, 1112, 832, 2117, 661, 1254, 1027, 1148, 1185, 2104, 1186, 672, 1201, 1028, 2109, 1154, 1187, 1188, 683, 1202, 2018, 1037, 1159, 1259, 1260, 694, 1269, 2026, 1232, 1267, 871, 705, 2036, 968, 1048, 882, 1968, 719, 977, 1057, 893, 1981, 734, 1065, 1131, 904, 2119, 749, 1256, 1081, 1166, 1191, 2105, 1192, 760, 1214, 1082, 1172, 1193, 1194, 771, 1215, 2051, 1091, 1177, 1263, 1264, 782, 1275, 2059, 1240, 1273, 943, 793, 2068, 990, 1102, 954, 807}], Line3DBox[{643, 956, 1004, 957, 1936, 644, 1012, 1113, 1013, 1944, 1115, 1016, 1149, 1017, 1950, 1120, 1029, 2079, 1155, 1030, 1124, 2099, 1038, 1160, 1039, 1235, 2121, 1233, 1268, 1234, 706, 2037, 969, 1049, 970, 1969, 720, 978, 1058, 979, 1982, 735, 1066, 1132, 1067, 1990, 1134, 1070, 1167, 1071, 1996, 1139, 1083, 1173, 1084, 1143, 2101, 1092, 1178, 1093, 1243, 2123, 1241, 1274, 1242, 794, 2069, 991, 1103, 992, 808}], Line3DBox[{645, 958, 1005, 959, 1937, 646, 1014, 1114, 1015, 1945, 1116, 1019, 1150, 2106, 1020, 1195, 1121, 1031, 2080, 1156, 1032, 1125, 1203, 1040, 2083, 1161, 1041, 1238, 2122, 1236, 1270, 1237, 707, 2038, 971, 1050, 972, 1970, 721, 980, 1059, 981, 1983, 736, 1068, 1133, 1069, 1991, 1135, 1073, 1168, 2111, 1074, 1208, 1140, 1085, 1174, 1086, 1144, 1216, 1094, 2093, 1179, 1095, 1246, 2124, 1244, 1276, 1245, 795, 2070, 993, 1104, 994, 809}], Line3DBox[{647, 960, 1006, 961, 1938, 648, 964, 1018, 2076, 965, 1118, 1023, 1151, 2107, 1197, 1196, 1122, 1033, 2081, 1157, 1034, 1126, 1204, 1205, 2084, 1162, 1042, 1221, 1248, 2125, 1249, 1247, 966, 1222, 2114, 973, 1051, 974, 1971, 722, 982, 1060, 983, 1984, 737, 986, 1072, 2091, 987, 1137, 1077, 1169, 2112, 1210, 1209, 1141, 1087, 1175, 1088, 1145, 1217, 1218, 2094, 1180, 1096, 1223, 1251, 1252, 1250, 988, 1224, 2115, 995, 1105, 996, 810}], Line3DBox[{649, 962, 1007, 2073, 963, 650, 1021, 1117, 2098, 1022, 1119, 1024, 1152, 1199, 2102, 1198, 1123, 1035, 2082, 1158, 1036, 1127, 1206, 2110, 1207, 1163, 1043, 1225, 1226, 2118, 1227, 1164, 1046, 708, 975, 2071, 1052, 976, 1972, 723, 984, 1061, 2088, 985, 738, 1075, 1136, 2100, 1076, 1138, 1078, 1170, 1212, 2103, 1211, 1142, 1089, 1176, 1090, 1146, 1219, 2113, 1220, 1181, 1097, 1228, 1229, 2120, 1230, 1182, 1100, 796, 997, 2072, 1106, 998, 1107}], Line3DBox[{797, 944, 2097, 1101, 783, 933, 2096, 1099, 772, 923, 2095, 1098, 761, 914, 1288, 1287, 1296, 1295, 750, 905, 1285, 1284, 1294, 1293, 739, 894, 2089, 1062, 724, 883, 2087, 1053, 709, 1958, 872, 1047, 2027, 695, 861, 2086, 1045, 684, 851, 2085, 1044, 673, 842, 1282, 1281, 2132, 1292, 1291, 662, 833, 1279, 2077, 1278, 1290, 1289, 651, 822, 2074, 1008, 622, 811, 999, 1108}], Line3DBox[{804, 951, 2065, 790, 940, 2056, 779, 930, 2049, 768, 921, 2044, 757, 912, 2041, 746, 901, 2040, 731, 890, 2039, 716, 1965, 879, 2033, 702, 868, 2023, 691, 858, 2016, 680, 849, 2011, 669, 840, 2007, 658, 829, 2006, 636, 818, 2005, 634}]}, { Line3DBox[{1300, 1559, 811, 1299, 1927, 1462, 1301, 1928, 1463, 1302, 1929, 1464, 1303, 1930, 1465, 1304, 1931, 1466, 1305, 1932, 1823, 2005, 1306, 1560, 1933, 1467, 1656, 1561, 1934, 1468, 1562, 1535, 1935, 1469, 1563, 1883, 1936, 1470, 1564, 1884, 1937, 1471, 1565, 1885, 1938, 1472, 1566, 2073, 1536, 1473, 1567}], Line3DBox[{1308, 1568, 1803, 1824, 2074, 1307, 1819, 1820, 823, 1309, 1939, 1474, 1310, 1940, 1475, 1311, 1941, 1476, 1312, 1942, 1477, 1313, 1943, 1825, 2006, 1314, 1569, 1826, 2075, 1657, 1570, 1764, 2116, 1478, 1658, 1571, 1765, 2117, 1479, 1659, 1903, 1944, 1661, 1480, 1660, 1904, 1945, 1662, 1481, 1572, 2076, 1537, 1664, 1482, 1663, 2098, 1574, 1665, 1483, 1576}], Line3DBox[{1315, 1773, 1804, 1578, 1771, 1809, 2077, 1925, 1808, 1807, 1815, 1827, 2128, 1316, 835, 1317, 1946, 1484, 1318, 1947, 1485, 1319, 1948, 1486, 1320, 1949, 1828, 2007, 1321, 1829, 2008, 1322, 1579, 1666, 1914, 2078, 1720, 1710, 1582, 1668, 2104, 1721, 1722, 1711, 1905, 1950, 1670, 1723, 1724, 1712, 1738, 2106, 1573, 1672, 1725, 1726, 1713, 1916, 2107, 1575, 1674, 1727, 1728, 1714, 2102, 1739, 1577, 1676, 1487, 1591}], Line3DBox[{1336, 1593, 1677, 1592, 2082, 1335, 1744, 1590, 1675, 1589, 2081, 1334, 1743, 1588, 1673, 1587, 2080, 1333, 1742, 1586, 1671, 1585, 2079, 1332, 1741, 2109, 1584, 1669, 1583, 1331, 1740, 2108, 1581, 1667, 1580, 1330, 2012, 1833, 1329, 2011, 1832, 1953, 1328, 1489, 1952, 1327, 1488, 1951, 1326, 2010, 1831, 1325, 2009, 1830, 1324, 2129, 1811, 1816, 1810, 1817, 1323, 1926, 2132, 1595, 1772, 1594, 1797, 1794, 1678}], Line3DBox[{1350, 1603, 1683, 1602, 1750, 2110, 1349, 1749, 1601, 1682, 1600, 2084, 1917, 1348, 1748, 1599, 1681, 1598, 2083, 1747, 1347, 1746, 1597, 1680, 2099, 1907, 1346, 1745, 1906, 2018, 1679, 1596, 1345, 1799, 2126, 1779, 1780, 1778, 1344, 2017, 1838, 1343, 2016, 1837, 1955, 1342, 1490, 1954, 1341, 855, 1340, 2015, 1836, 1339, 2014, 1835, 1338, 2013, 1834, 1337, 2085, 1605, 1774, 1604, 1795, 1684}], Line3DBox[{1364, 1608, 1766, 511, 2118, 1363, 504, 1759, 551, 2125, 1362, 572, 1784, 2122, 1921, 1361, 583, 1783, 2121, 1920, 1360, 581, 2026, 1782, 1781, 1359, 2025, 1845, 1358, 2024, 1844, 1357, 2023, 1843, 1957, 1356, 1491, 1956, 1355, 2022, 1842, 1354, 2021, 1841, 1353, 2020, 1840, 1352, 2019, 1839, 1351, 2086, 1607, 1606, 1685}], Line3DBox[{1367, 1610, 1958, 1492, 1366, 1959, 1493, 1369, 1960, 1494, 1371, 1961, 1495, 1373, 1962, 1496, 1375, 1963, 1497, 1377, 1964, 1965, 1498, 1379, 1966, 1499, 1381, 1539, 1967, 1500, 1383, 1541, 1968, 1501, 1611, 1889, 1969, 1502, 1612, 1891, 1970, 1503, 1613, 1893, 1971, 1504, 1614, 1894, 1972, 1505, 1615}], Line3DBox[{1388, 1546, 1545, 2071, 1387, 1544, 1760, 2114, 1892, 1386, 1543, 2038, 1890, 1385, 1542, 2037, 1888, 1384, 1887, 2036, 1540, 1382, 1886, 2035, 1538, 1380, 2034, 1851, 1378, 2033, 878, 1376, 2032, 1850, 1374, 2031, 1849, 1372, 2030, 1848, 1370, 2029, 1847, 1368, 2028, 1846, 1365, 1908, 2027, 1609, 1686}], Line3DBox[{1390, 1616, 1852, 2087, 1389, 1973, 1506, 1391, 1974, 1507, 1392, 1975, 1508, 1393, 1976, 1509, 1394, 1977, 1510, 1395, 1978, 1853, 2039, 1396, 1617, 1979, 1511, 1687, 1618, 1980, 1512, 1619, 1547, 1981, 1513, 1620, 1895, 1982, 1514, 1621, 1896, 1983, 1515, 1622, 1897, 1984, 1516, 1623, 2088, 1548, 1517, 1624}], Line3DBox[{1398, 1625, 1805, 1854, 2089, 1397, 1821, 1822, 1855, 2133, 1399, 1985, 1518, 1400, 1986, 1519, 1401, 1987, 1520, 1402, 1988, 1521, 1403, 1989, 1856, 2040, 1404, 1626, 1857, 2090, 1688, 1627, 1767, 903, 1689, 1628, 1768, 2119, 1522, 1690, 1909, 1990, 1692, 1523, 1691, 1910, 1991, 1693, 1524, 1629, 2091, 1549, 1695, 1525, 1694, 2100, 1631, 1696, 1526, 1633}], Line3DBox[{1405, 1776, 1806, 1635, 1775, 1814, 1285, 1813, 1812, 1818, 1858, 2130, 1406, 907, 1407, 1992, 1527, 1408, 1993, 1528, 1409, 1994, 1529, 1410, 1995, 1859, 2041, 1411, 1860, 2042, 1412, 1636, 1697, 1915, 2092, 1729, 1715, 1637, 1698, 2105, 1730, 1731, 1716, 1911, 1996, 1699, 1732, 1733, 1717, 1751, 2111, 1630, 1700, 1734, 1735, 1718, 1918, 2112, 1632, 1701, 1736, 1737, 1719, 2103, 1752, 1634, 1702, 1530, 1638}], Line3DBox[{402, 567, 335, 1287, 606, 605, 2131, 1413, 1861, 2043, 1414, 917, 1415, 1997, 1531, 1416, 1998, 1532, 1417, 1999, 1862, 2044, 1418, 1863, 2045, 1419, 327, 1171, 432, 329, 1172, 433, 1173, 330, 434, 1174, 331, 435, 1175, 332, 436, 1176, 334, 340}], Line3DBox[{1433, 1646, 1707, 1645, 1758, 2113, 1432, 1757, 1644, 1706, 1643, 2094, 1919, 1431, 1756, 1642, 1705, 1641, 2093, 1755, 1430, 1754, 1640, 1704, 2101, 1913, 1429, 1753, 1912, 2051, 1703, 1639, 1428, 1800, 2127, 1786, 1787, 1785, 1427, 2050, 1868, 1426, 2049, 1867, 2001, 1425, 1533, 2000, 1424, 927, 1423, 2048, 1866, 1422, 2047, 1865, 1421, 2046, 1864, 1420, 2095, 1648, 1777, 1647, 1796, 1708}], Line3DBox[{1447, 1652, 1769, 1651, 1770, 2120, 1446, 1763, 1551, 1761, 1550, 1252, 1445, 1798, 1792, 1793, 2124, 1924, 1444, 1802, 1790, 1791, 2123, 1923, 1443, 1801, 1922, 2059, 1789, 1788, 1442, 2058, 1875, 1441, 2057, 1874, 1440, 2056, 1873, 2003, 1439, 1534, 2002, 1438, 2055, 1872, 1437, 2054, 1871, 1436, 2053, 1870, 1435, 2052, 1869, 1434, 2096, 1650, 1649, 1709}], Line3DBox[{1461, 1558, 1557, 2072, 1460, 1556, 1762, 2115, 1902, 1459, 1555, 2070, 1901, 1458, 1554, 2069, 1900, 1457, 1899, 2068, 1553, 1456, 1898, 2067, 1552, 1455, 2066, 1882, 1454, 2065, 1881, 2004, 1453, 2064, 1880, 1452, 2063, 1879, 1451, 2062, 1878, 1450, 2061, 1877, 1449, 2060, 1876, 1448, 2097, 1654, 1653, 1655}]}}}, VertexNormals->CompressedData[" 1:eJx0fHk01l/0LhUhIYomlZSkyVgk76FMJSopoYFQUuYhQymJzBUlISRDUiga jIfM8zzP8zwVoqTf2a/3rnXv9977/ee71rvOOp+993n28zz71Invqpm64TI6 OrpzTHR0y8n/+1qqtuYot0j3i1Tzck704VO16650nxxAye08qR1fVSlyiyef 28f24VHfvi2RPgPo1KTRh/2Hb1B2FZo/+NTfi/elq09tlx5EVlqJGhETNhS3 P5UmHOU92OCX8XXP7UMoyqhybGvLHUqq/LmTIY+7cUru/X7BNcPo52+1h0kO zhQdpd27zBS6cGzoE/GLk8PI5sZM3XCaK+V93Qdlx5IO7Fvz6oF/3ghyUvTm dFL1oryjd89/+7EVH5g6J+ASNIq+3rne3Hr8CeWtjlu9mmgT5vCia79pPIaU /N5Ps0n7Ue6ZuIoxWNbh83+ay64LjCPGb/6mbGufUd5+96uIflqFn104Y3Q8 bxwJXusPPt4ZQOkzX/7ZgK4EN80cSY5RmkA/M+zc/G4EURhf6uieOfAdo7U5 awbfT6Cvkm2sFi9DKEcETrKtTvuIG/Ldxs6OTqDZqtQnrCuCKa6RH+53iVpk rv37j/w3gXoTt0/TBXBSKrtttkCdx9IdL0OdPYe32nEXuqNXjP3LBB/34SQu tY6xyAEU5eTid14iCv1Z4Hta4tKLn5pKUcZcBxH7zwlBz8efkNim+06abD3Y 1fV4o1TQEPoo4RyW6/gNuU893rnpTheOkApavzV8GG2zufngY0IGsvXV2zyV 3oE9lik2rvAcQbonDz+3sf6Obux6dCGWrRW/jK89bq8/iuactY5xbC1Ar2Y4 k20TGrBJv77qxt1jyK0qb/qIUQkKV1AXNhqpxp26Z35+Lx5D7m+m7S2ulaO3 BxKOr7hRiotrug/xHBtHp8rufPHxrUQMWwdfKE58x7vex2UVeo0j+xOcy84/ rkaL8vFcBxYTcXNGdMs6n3GkldidcGeyFjlGe3GX3wtAyx9wPGeRHkeb2ivE 4sTqUY7Y1s77oqlo+npf9I26MbRZ9IpE9VAtuk+Z3Ou+IxdpLXvpI1E9hlIO OOzYX7k9k31UnYrnK298qHj2sJVseLP3MdLznvnid7YPfz9YVS3XPID8GYQT PorGoQdux+fMwnrw48unWnUkCW7TNu1lFP6G7HVfXHc80YUHtz5RfpQ9jI74 8c1tXZOFHl4r1syua8PM/ivm1jOOIq2/zdnr3XKQc2LP2kL6JhxuV+HkyjqG morafbcrFCLJm79tj7HXYMUV92vvTI4h6RpdAz3RctQcvUjpNCrAz408Hrl6 jqP81f+6O4OqkM/fUrk/LYn4e4fmKruP4yjgOcuMHm8NUpg/5LvIE4HcuI/M pT4cR5NXmP6uOVOLYtiSuT6GZyHLjMlGZvZxxPROMG43Uz1qcArfsFmgHEkm 05/SWDeGmGMrvaTrGtCk3nEzpl91qNGYJ6rpxQja6P6F6YZJIxKuM/aqn29G 59he6yaqD6Nrux62nRmqR2FXx4a6UlvRJgFBTk6xYXSv9+eLl1MLGdEHSqh1 PmeymVrn3V/CQ6/8cERGy+yzzvH34Y1p983ZGAdRsHNNVVlRIAqyUnzxrqsb T7D0VfytHkLv09opHFeiUS3PTPHM4w6scW1o3L1sBK1WW38ncvQD0lA8HRF6 qQm3B6l/az4zhjx54lQMJT8h3/apq9nra/CLwu7hVTbjSPSX/vCxqC/o9zYp nxNy+fhlmJr1q6sTyHP3+ju5C2mI0SR26syMP9716WCbRtkE0j9wImMdZxba ZeTb2uaYhVZpTMsZO0yguWp1Pi++bNT47p76Pc0KdLZU4fGL1HFkpL9bObUl G0VyqCns3luP0NPJD2IJY2h8q0SJzdB3tML/y49m9TZk4P1wx2HWUeQxUbCb bTQHBQ/Ea6zd2I0etvfw9Q4NoX8Dp2S3Mueim/abJUeP9qLg8bHaZLlB9HGV bsUs/o5kF95HPPDoRW2aGScjuQdR7o8LQbw8TTJq7yupdWY7xkOtc+gllzbD H474DevCd6izVPs+U6hzIrv2tqqiQLzGSjgM6qz/7HQR1Lkx7hiF60o0TsXx Q1Bnj5CCHqhzoKu09NvRD/gde3Yl1NnrjPU7qLNAgMOL65KfMPPYmzCo865X nS1Q54tjabmKUV/w/lxzURVS56cKWQZQ538HLrEULqThT2pC3RdInU0jgyug zs9v6BbzcGbhbb9utbWSOn/K8ZaCOh+NzT7lw5eNr3hsU3Aide72W/CGOm9V Mg1Ib8nGYgnO6YKkzle1T3yEOofr1VLshr7j1qiTt6DO0yfE9kGds9nSCjlG c7DefVlOqLP/IzZhqDO3km4XH3MufrTy29wIqfNl3e0DUOctj+wV5/F3/G/j 8htQ58vCYlegztW3nEOjTy/KWPl+o9a5cXYftc6spVeqCG9gjbUSqcAbKlLD FcAbzjm+LJ9E43AaQzqTOeGN+YptFcAb1vTyJoQ38AJ3txvwRmnoTTHgjT/7 rLZsW5OFS7teJgFvfDaXaAfeYC7SnSa8gXfYKvgAbyRmFlwF3tCb/l5BeAN/ Pfp6kzzhjeY/9F+BN1aYamUS3sCFlZfpuglvNM1Z3gLeuCiUvaUrqApb67Da /yO84fbjwfxtwhvSIQNHrvLW4LUuKYozhDeuFTn+AN7IZvU+zXmmFk/PGUTH E95w2HuqE3jDrkh1vRBTPbbpXniwgfCG1Gd5Q+CNUP9h5iN1DVhPuYJ3JeEN 6SKGMuANpYy1YYQ3cK5mv2wd4Y2Gc7f8gDeax4evqQ/V47P6uVmdhDeypJ4r AG+wn6h/aLuDPfPOOR2qDoalPaPqYMj8XbZ1he64KGMZA+hgcppdG+hgouBz 73MSUXjbn8pXoIPbEu+Jgw6WnA044vH4E9ZxpTwHHeyjMBeDDjKHaN7McfyG P9WnKYEOhqx4wQg66Ih3sCUmZOBCjhs2oINj/r25oIPVQpzvrK2/YyfziSrQ Qa3D+hKggya3evjYtxbgHDuT87eJDj65kXsYdDC3aSpa2qgEv2wY/A06yLtH qx90kNNLZZX5tXJcf0t7MyPRwZ9X3MRAB2f7eWa8fSvxG1fDAGWig2q2GwpA BxO7zMXOPa7Gef6iQWJEB/lYf02CDsoY7K1znKzF8V/lGVOJDsbExmWCDr6M ENF+J1aPt2xz/OxIdHC26lEX6GDGIx7jqqFa/OFve7kr0cGBd9XFoINfH69y SedvScE0X2dN83X+ceqtW43PpCvQfN0gzddxOybdrH9iku5D83VdaUu+zik2 isfgs336uYUlXzc4u+TrLn1CYbmD99P7FJZ8HT/N1xkbCTyn3HmYPqi85OsY aL7OdqN4YoGdR/pi05Kva65e8nXPeq8j13+P031XLvm6R5NLvu7PWd31f7j9 0yevLvm6cM8lX9fZsiIl/tLz9FmbJV8nQfN1vVJG+ozuL9JR6ZKva6T5utV+ UedMK4LSTR4t+brU2SVfZ8UeqXJ9OjTdO2nJ17FyL/k612x+VaXv4emRl5d8 nU/Rkq8TYNqpbhkbli6wO/ZbL/F14/+WfJ3djFxg1vFemWG3QWqd/crpqHX+ nhjPSfCMuqe5qHj+892IimfZsWFXgmeEVJdT8aziIiIBeJb8UClO8IzYuy/5 A54V3FxLAM94q7wuwTOyy7qsCHi+RBe1EvDMrtG0mEB83WaGIxaA50ce2vmA 5+D78a8JnhGnSEoZ4Nl8IPcg4Hng14eNBM+Il3dUDfB8b0X0EcCzBlf/K4Jn lFNbPwl4rgq5PQh4TmneQkfwjAKL/zECnqMyHCQAz51CLRMEzyj51tRdwHNh XHYh4HnMU1GI4BnN1PfoA56bpGp/AJ7TD24oJ3hGoiw/mdMInufnkzHg+Wjm qzMEz+iBvvxfwHPXwR3dgOda77VXCZ7RirIdk4DncRqeJ/6eThxk3Z5Jt+4C tc59Be7UOjdEZZeDr5vRP0vlZ9HzFVR+7lDdPA2+rn81B5WfVaszqfzcayJy Dnydg+gqKj87eaqKAz8PHr3OQfgZbdkUlAj8fC/yQQfwszufZBf4OqVaPzfg 58lCRkPg5y767i/g62y4lTiAnzWEuVKBn8NqbkWCrwv6+Gaki/Bz/dlVZsDP 3L+D2Qg/ozKB33LAz3lhJxeAn/kPy+8l/IzE8qtygZ+tfpdMAz+36mUcIfyM PAUu5gI/m+WFdgM/C575TU/4GS2e3xUN/DzYfug68DP/TfVp8HULlpbCwM+G i/NUfo4UkHADX8f02O8c8PPxlD4qPxsZdJ4i/IwCz+yoAX7Op/Fza0ziTtMt +yhzT1mo/BzyvZPKz+IlUv4GxNf5fOyi+o18dhWq39ilFjhWSXydwASi+o09 5meofkOBp7+Rk/g6hj9ZA+A3JtSiesFvRL6yqoshvq7ngVwZ+A3v3ldx4Ddm irK1id9A4vKNIeA3bNd3t4LfyJo940D8BlJpbNkOfmO4Wuka+I29J7xTCoiv myjaFwh+QzQjpxL8xigdJYD4DfQ6VmQU/EZoT+ph8BvVKmobiN9Alfxz58Bv aBlX+IDfYPr2XYf4DdQ1uD4f/Mah0GSq33hLiaQnfgNpvd1jDX4jHn+j+o2N L+oeEr+B7vvOrwW/kZFnLAJ+45LAiWDiN5DxeMsC+A1PFRWq37hgeZ6J+A0k UuB7C/yGLs1vZA/xUey8f2dUvWqk4rmkkJ2K50OXrMyuEl/HX6SfDXX2Wh1l BnWWODtiUE583amXQoFQ56HxjVT/3LZjxUvin3HripXlUOdXldljUOdCR7Yy 4p+x9aqIKKiz9n7lr1DnLP6r7sQ/41te5YZQ57To9iGoc+O6xYPyxNdV54g9 B/8ss5zHCuqsJHt+gvhnLK4ipKNO6vzg9pMWqDO7i/wv4p/xMVXHYvDP/ns/ yUKdZycCLxL/jLnmtZXAP8tMDFPr/DWV+RHxz7jrxy4Z8M8TPeup/vlOQyOr LfF1JyR3jkKd9Vtv80Od3xfqWhL/jPeOlJ+COh96W071z/LL8lyIf8ZRs3Li 4J+brd9R/bMpT9eaX8TX5bl2hUKdm2j+WWC8/26oRqXM9oxyap2F122g1nlO ptAafF3zTwXqPMghZ1sDvBFqzlhNeAOzbDw6D/OgqYFRC/CGlFrEEfB1cvRi RsAb60omlIA3UhhE6cHX8f95pwW8Meoi8gt4g07mfDH4uo9uSTzAG14Xmu4C b6wPXhMCvk6fTdMB5kHLFpUa4I3Lk/vvga9Ttz6jBfPgFvfQh8Abjv9+/CDz IJY5eMgO5kHrpAAmmAf99zGvBF8XUlbLDvPgn6TPM8Ab67laVoOvq+Adnkkk vBEbt60BeOOW9dh3Mg/iFpPPE5sIb+wLlFQF3tDfsyOC8AaWdFtxEebBFRMb I4E31lgzCICv62Nkt4J5UIKRkzoPXpUvmCbzIGa7oNsA8yA7bR603x4yvk29 WaYuKWcJz3b81Dq7eDvJcRNf9z1riB508Fn8oU7QwUcGLi/OE18nhZn8QAcF 11jLgA5eDSjf7Ul8XdJqeur9RvGTKOr9hrrk7ZBc4utKpMUFQAdrXaSo9xvL bJLdPxJf13hPbAvo4NvYyAbQwegNrwJtiK+rWh59CXTwg5+JMujgQuthFQ7i 6+qN96bC/YZ/y3cV0MGTAdl/jxBf5zLVLQk6qM1kMQU6KOGleN+C+Lq8GVU9 uN8Qtdp4EHRQI80n1Yf4OqZvZR/gfgNZKmDQQbaT/oznia+7FL31NNxvFAhY NIMO6gVMf7lDfJ2fDitXGdHBbL2Vz0AHNw44HIkjvm7PP88XcL/x5a4S9X5j BT2WqSa+Tm5MkAXuN1Rp9xt8KgW69KENaVk0X2dJ83V7nH/ndHxVzdxN83X0 j5d83XhIxKf9h29kCvznvi6p7Y1WxIRNpg/tvk6Xdl/Xf8r6x9aWO5m5tPu6 TzRfVxUv4J7k4JxpRbuvC6L5Ot6cjw3Daa6ZG+qXfJ0Z7b7utZ7mWidVr8wT y5Z83Urafd2Ku9T7ukyti0u+bpjm6yY+LZ9lk/bLVDZd8nWiNF9nsHRfl+mZ s+TrrGm+rvNNZ8jxzoBMSSuar6Pd15WMuj/yuxGUKR2y5Ov4aPd1xjkhqy1e hmS27V3ydYW0+7pInotPWVcEZ0q6tHb87/d1ll/02x0Cs9HL/beNvzpX4Wul GtVxtuNIxPD9lbznOahNcuuTx97FeDBI8sOhEeJzll9RvuqSjzQObQg+cD4b t3koK74Um0CF8sL1AvJF6AafcJcaUZFH5uJiUqeJTv2I+60YWYQ2XS4/PHLC Ex3+wjkkqzWBtL/WnDBNb0IXQ6L2vp4tRQd37XtVRnDbEJ2yj/yOXXmrlULJ 781HltXA7yn1GXv7V2Th94L3ORye1GELB9017q1jyD7ja6pdYDb+wTj8E+IX bdamxq/rMUef8zwHi2lfKHxC4h+rtEiG+I89Tgq44pKPJURnlouQ+D+ZN1+A +EUcPdr45Yvw4gDrtnMkfv+N7mch/rqWybljkUX4e94b3moS/+PLGWvkSPw9 73i/ke+i4xkuY/DdFvnLNfDdeTrNxe+kbnUqO9Pgu2EzKp/huzcFpZ+R7yLP rJEfwuS79276asF3JVySmsh3kUCYYLUG+e7FthUa8N3cP3enyXdRm6vY+Rry 3WHxAep3p8UwL9Rt0jbUAuqDfs9S67Pt3UEdqFvUHn86qGdjo0II/I7knQQG Sd0UAtNe2ZO6TRTxr4O6PV1l10nOHd+3mLaA+GX59ldB/JGJDXrk3HGVtnoE nLvTM8H3EH/LYqoKOXf8QNkgHs49+IitAsSf0y/aRs4dVzzqFj9F4o/j9hCF +IMNr/4l545/Sdp4DpH4kzoYqOfeUx2TsvrpRaT4+9yL5JY+rFFaEMt8ZQB1 8z7zUrRmpExWR1D9mJ3ZGaofM+354nKtNQ2JbOIp/+TShJ1VG0Xz+ceQzY0T /CQvpBOtHgh52Z2S4oa8NNpdmvlqspBxfWhwjVcNRsxyBiP7xtGLDbqRbfbf 0YWLSts0mssxk8zdNSxfxtGgPeNr05lcxP486PUJ1nycdlY368S6CbQzSsrx 7KpCJJCanSw98Q1/5ghMfKA4gUTjq4fWdxWhPV853jzQDsDRoqMqNRoT6EXk Tt2AKyEUYeZNL3T3vcbuRyzN9P9MoO54+wfbTAqR2GOrpqmT0Wjf9jeHPfQm UJN1AedHLnP0+mCbbkpFH97x6XGDgPEA0volXZTHV4l+/VRyVNhZjo9tslHh Zx5HqX3vG40Vq1HJ4YzLP3S+451WCVb31IkOstw5VfO1BlX8YGKXJj4oco6Z UnR1HLkc+DDZbVGHhowb6FTzw1CRvwsTZfs4ij6cYkZH/HOEhiePd10WOhpZ Ur712hhqGi3nZkuoRHv0/gS0/65BdJIekw3SY+iT9Gp7julGxJxqxfX6YAFa 43heZKJnFHG8q1Vz6a9CHdL8DN2yLehznxPvBo8RtDxCY1+kfxPy3dmwXOpR NTqfUHSarW4E9W2zWgiMq0bBIdlrG6I7Ed1mKYPI+CHUELtf+f6tRnTk0K5s cYcadK2O/2vl2Ag63iK2Wp5SjdabHHoptbkbdfFUblLLHkT9cvPyxo03UEyp yBOc1YfNL91j2GA3gJ4XKH+06ytDJ19emq5CaUgxJmzAa4z4h+t0Tj6SLpnD fy4JDimWopuLHceCJCZQUFv5t7tuFeh09CmuPzHF6OuTE6/ETpA+3Vw7+kTo YeZ3bgO/7J5atPCzreIcGkeep0XtUiVcM3c8WysTFNOC/p7U7k9vGUVCfytX vS91y/TjM71y4XYXqrr0rHlj5TCiZDz/7e7rljmV23n4lGYv0v9ep7CQNIjm ZhrVkHUVGuw6ZyyxtRvdP5sUa9EziGy2HbvOtdktc5JVxv+0Wx9a/0L9QPGH AcTQK9exylclk3kueD1nah8+nLNm4pzTAKqyXa96z60C+/U075sn8cu++kiN v2DNwSlyjtj1s+arNnKOMl4rF+Acb2yZkn3YX4UtS2ZXdpHzmmktFofzipj4 9u9lXDV2ejTzsp6cS4Hjt4dwLrFB9bab5Vwz91b/vkZ3uQ9J2LHsE6keQMf2 i65WoFTjLS7Pd8G5JKYXIDgX9pJ7n2823sDjPlxP4Vweub9fAefiXr9bUda6 CpdrWvwVJ/mqfgkvg3zTWSw6Cf6x/Cs9fSr+D0rUAf6FQ+W5CX6wMw9jyCGC n+aDc08BP0d4bDuZn17Ew0dUqbzRt7OKyhsfyjwMW+y/4+den4+dI32tyVq+ Fvq67uYd3lszuTjdKWBChfS15/vEUujrv5Hrw0+vKsRaBV+/UEhfv1/gK4a+ NmRW6V3XVYSXn+08/Zj09Vb2QAvo613C72N5TQrx26ody0dJ/yo/k7kK/fsm MoSOhfDYmgVLajz3yj9Q47l6J4RLn/CV4wbt/UmEryLGR4SAr0zu2uwh+oUE c7evAv3SM9PnBL6yq9Au3kr46onFRu5awldndtZcBb5KEmy5SvJCpTOmByEv oaMZ6yCvcxuPbSJ5odq3CR2Qlwz/3TLI689yrxCSFxoa+ucPeZ26kU7NK/nG hw6SFxIq/xPpS/Li+vaTmldb+/UokheabRhRhbxO0fLqnatIAV6KitCgnovW VznqucRs83QBXnpSJKKsRHjJev/AIeClheNCvsBLj/f7mU4TXvLbMmkMvMRx o2MV8JKsxw4+ecJLD45wyQIvMcqdSwBeSmRZoSdFeKmA9fQG4KXDfvMSwEsj ebw3PQgvjaLFH8BLjD8N64CXGOO2vAc8H15l/xfwbNteqAC85C3uqB1KeGl5 otEV4KXdgR+2E5yjqb156wHn9CY+EoBzNKu8EnjJao1rAuBKt1DID3DV/dSp k+AfHddMfgP4j6jjouKfYSqZH3ipTD/MWYzw0qu26lngJX2lNRPASyrXbPcB /jtLV8oB/su41MMJ/lHTJkEq/r/5vaTi/906k2l7wkurWD/cKye8dP6DUifw kpBBkCx7shNlYGGJl+7TeOma25GNpK+Rxp02Zehr4SMPw6CvpemWHzw4eI+i yrPES6unl3jJ6iNTX3jmfcpnGi8xqy7x0vTTOdlTwc6UfhovNdF46WeOZIed 4gOKeN4SL12j8dKm3QxCpE+RE7/kCuCl07Q+3TJlXXquzJkivPr/5KUz+Qt2 fud+y/z5tcRLyjReCmF/OUR4FcsbXpv/TeIXGfcMhvi3cH3dB7w0o2n2CPRl 5YvRCThH/8j7RkRH8IvLW+fhvGT7VTbDeRXtn+QBXnp9cDs76EWjecdVOBdP uR2FPXTOlJs0XhKj8ZKZ5zFBci44SO6hH5wLl0cqVS+Ov6QvuUF4KdtmG1Uv 2GYfU/WiycDOmPAw3rw3QR/ytaPxcPruq8nAS9qr2vQA/z+jwuoB/79/Vx8B Xop43T8oSfAzLfXlDOBnymPmMvEz+EBCWwDwwIMbku+AB/L/mvR6KwRnpOyp pc4vAnNc1Pml6pTHW+JD8Nu+VcLgQwbSNTmgrwVOu0URH4KtWrckgQ+5sGCE oa/F/KrvEB+CvSkeXeBD5F7NJEBft3y8N058CA5WET3jQvp684XHVB/C8DP8 EfEbOEmZ/x74DQGa31DtXalH/Ekm79olf/KA5k8CeZK2Z8zvpyiVaeZYtfXh TE2uhJuXBtCVjGijgO2ZKDwk/p/z4wasMmK8y8hlDD28S9nNIbgzc+fOqc2Q 1/n4IWpeMgsncMnZKrSGfg3bN95CzLzifpOHxDi6+LI4LHxlDeLrXO8bkZGC b7uWGi7qjSOzv0GbR+7UoviW8ffqi75Y+lnY1OCpcfSjcyw5JrAebZq7uEbk eTIK114fwlE7hn4fEbiZv6EO6eg/ohPYW4Ca0iqrTKPH0Mpd8qw76RrQlEvO QZuwanTivZKF95VR1NeYarLibxNaVBCJ2FJfiWZFU5pU6UeRSVRauIN2I8nv 5/zG6kZ0oEHon3bbMBr1Uim79KsBMTknv1FSbUVxAmasJmuH0TU5bf4Xgusp 1z2WU33pc70Bqi9d/e3NhoykLJQTtODw1rAQvX3R/t5m+wQS2iits8shG+m0 rtnKN0B4cV2hjvDRceTwVGLdTc3vSJZOcGNETBPqcZXleTs9itK+oMMVDjlI 4Mg73af2nShlrqjpwr9h1OEhcTKKLxd5dT7yOWzYg4yZXs1s/TmI3LZVz8cE 5KD726Sd2qN7kcNaLZXvPwZQ6g7Z7fdKRTOnhJfm5YN1S/PyjU/KfrsdsrFm 7MCLbSQeNnzzIsTTv3+lvYnmd3z3ue6z1ySev0GxmyEePnbx4iqHHGzPH7QZ 4hFkz+yDeGT/1I7F8OXiwt3WqhCPq4k1wzYST93iO893ATn42BCWg3hUs0Yv QTzPceiR6gghCpOeITUep2N3qPFEXwy6/6uck7JM0JT6uwqdNfX3CqdcUcK3 WONDuinw7TMa3wo7Tr1Zm9iZYT49R12foDlFrX/ZfXv8Z6wjQ2fTB+rvLJmS 1H0O8st+8CO4tW0rMHpAcJttkMAHuLVaLla71/tHhsujFOp6fdalP/e0Dl3p ALh1uVjwN4Xgdv3Yp2LArajo5HnArf9N1/ZogtvN2wKuAm5Z1hxqHCa45bE5 W2ZHcGt8JPM34HYs64Ad4HbFnoYfewhuLfxTPwNuZWvXfQPcRv+aCuMnuL0U 3twFuDUXyjQG3O66nrNgRXD79+Dbp4Bb+7TLxwG3hZqyCrwEty1+QdxqBLfq 9g3cjgS3V7ks0jYQ3CqLz+3TIbj1sdmueJng9r3+7ruKBLcC3M9lAbeaXtUm UjrcmRVukdR886pkqfl2bnNbgQlud1s1uccQ3HKtUXgLuC2JkbpEcIKim++F A0647RapOAkt+XOI4ASFyXqEAE4iD5jyAk68b3q7EZwgN8eHfICTL5IlVJxY mju8JThBb6ssTwNOWsvDGAEnA/Q6xwlO0LraKAXAie10PxUnOJcp/sOVvzKj NNwepuH2ee1Lf9JHeCpgkQf66CBDszbEox6kfJb0ERb6cpkT+kh15CE3xGOl oH+P9BG+8jdXB+JhevqW2kc8oh98SR/hzUcjPCAeC9sT1D4ayK2Ufktwa/fq mgPE4z2pSO2jWwfNLxTx0FPo07Oo8XDIC1DjYVN6dLhfgjHTQm41lQdspNup ODTapK8NuDWWOPsO5pcLtPllHa/YFsKrmWI0Xq2m8WqN0sonhwrLEecPmyk+ jVy0S6Mh1yRyHA3xvJT4t6cS5ctx5BV7VaLz0xaxs3Vj6NbHIZ2841WI3b+A sfFVA2IP5S8+YDOKqpiU5tddq0aKn9asi37WjrLMzMRXPxlGp1hcfD9EVKMJ xKq3I6QLVWK7Ey9YhtBLw5uhU/Eumd9XnFhbGlmFnolyHvD+Po5imbNKL11+ mCltKi6UKtSIblnuDnvwegwJ+9h6bW53zdS753DPU70DHRtq/d00MILoh07G 3zN0y2TZqcsgwdWDIteHbbb/OIR2PT/MTR/kllnj/ZtVdm8fGnAVsLReHEDP Pu9koNtbiUu97CuKSF67Yy8nQF5fht7J5R+vwq8HzFgbSF7GdAdaIK/jr3/O cV+rxt+u8G+OInnZt5afgrz2Tzg9j4+oxperdgzzk7xUdXebQF53LTMvkH7B kzvuCEO/SLoIUvuFjTWoVZLUmeNqh8Q2UudfN7W/Q53nvyqPQp2FLyW1Qjzf MgcSIZ7wzTnbSTzo8dnCzRDPXrs7rRDPn0LcSOJBV1oH90A8Oy80noZ4+lkb rUk86Oul2EmI5+yOGFOIp7/WtzZX7R5FkWGpztG0OjPVR40c0r9PyaTV2YFW 5wGKUV+uiDNljlZnVVqdRbPy559sekBRo9U5hlZnl0TtyX6ZBxRun6U6D9Lq /IRDWJXkhVO7XFMAPwHSTTGQl3ehghXBD/apNfwDeW0f+FkIeekzqK2FOm8R SV0J+OHVCRSDvEqFzN4R/OC+G0HagB+9dRXHIS+xC0r3oM6jvXSPQE+t1mVQ 9ZTLLWRC5HghmupPO2oqX4ASh6ooAp3jqKLiuPwGoyL0+5ptFvOWaqTAGu9e wTiO+obNl7f1FqNCXfELe1ibUGmHmqJZ3CgS+GdY0hhSipzmZ8pfbelEh99o 9sYnDSPzqt0tTipl6I4Sw6JvZjfaeC6YXb5rEAmEFxe2rP+E4+Xez+vS1yMD SWHJz7NjiEPAP3qeOQmHH/TQq5lrRf4VzlEbzUZRalCv01XeZKwi3rC1iK0b BeEdLJonh5HJaan9Eo7J+N/qyivFz3qR4dmST66XB5FR3fvXYiQvHamUhlsk rwnOZ4chL60TFI5NJK/BgM2rIK/F7V+8IK+2AcGpdpIX/wOdECGSV9m0vjrk ZSDa3NFM8nJ0lbeAvLItKPOQV5NsFL0zySu+LiUS8vKvvCwEedl8vHCtgeRV NxIlrUfySvzx7iDk1XvW8O80yWtM6HoE5OXsfPs15MX1WtH7Eskr7FSKLOQl GZa0DPJa+yJypzDJa2eK9V3Iy/9I/DvIy/Z+A29hag0a4BLXn6+oQttE56JY NhM9inDVOq9Yhyq8rnczzDYimdTWricOI4iR0frl+tISZKt/6n5zWivaWPnV 0iF9BIW54e0zDPXoacHcMsP77UiFU27Hvp4h5MzirRcgWIZQl+qp/NAudMJ9 U8GnT0PoaFrnveTxUrTLJy313c0eNOd6wm3Z1UF0IrdO/K7BR7T6vTr3qt5y dKdaY0D79zhCRcK/6td/QvgVD4I6sASvOwR1GGVQ8CZ1QFUDdVFQB8OYfGod 2Hkk6UgdkFBj41Gow/mBYWodxuo94w44JiORjfb3oA5xQc+odUhTVjpOzhGL b9q7wETOcWX3D084x6u7OA509BZjnYksHzjHFUY/z8A5tjK1128sLcH9Hxe/ NZE6fJi5+QDqwD7jua0lpBSH8769Aee72teZer4bRc7jQMEy7Lll+1geqcOT EJsOqENV1W85cu4Enw2hcO6Xu9dQz/1f257eL+Ol+Ieyjy7UJ+3r53Coz9A9 /w9wXsFKb1TmyHltz9f7Bud1TEiNQZOc18mnsjkryHn9eVdN/5ScV6hmewCJ EzmEnM6DODV1ZFwgTjnvpHY4r/Fx6zF9cl7OMoxqcF7toQx3SZzIYsOGGYjz pH1SO8SpE98VSuJB8t6e1yCejkWu1xBPi56zkTM5r/vGbwJYyHkFHm/ug/P6 i2XPkH5Edlbmf6Efc/6EUfvx5pnVm0k/ItvJdkM4r807mqn9qFj/q1+PnJdw 5J7tcF5/ll+k9uOOfS/Cxcl5XV4c1oPzSlPrpPYjT7qIM+ETbNl2/wv0XRnn rBuc14NsE3nCJ1h7o9AJ4BO2h08U4Lw6Ug80ENzi5v1htoDbzKMXLaAOX+I2 rG4i5yW1Va4AzmvZnkAqz2zVXh5KcIttj3IfB9yu411Hxa2QVfbme+S85p5y zMF5mWjIU/nnqmNLBsEzVs8p+AL1eZrY8BDqc8CMrcDq5T7kGpYd7Tnchy9Z REzsODOAouQltHaJpKJ9T8yZE5OscP/LG4bDtRPo+rVjmmQ9pmRGU9eXfE6j rg9X+HuZrMehzJ/ufiTrt82rU9c/rdM/QHwg3qpyLxZ8YDuLz17wgc9ONG6/ U1WHb2sHh3s4JKKJ6RPnhJePI0fBg+lk3sGKFVHdMO9IhqgvwrzzhS2E8S5Z z6d218WXrLeKEOKD9Ydqvuw6WdGEeddMWbfT1yHn9c+Grc+NoGOxq/+okN+V xzfmdZDfj+10T4bf/WWaRP5NZcj8LOuh+qU3sgxUv7Q9zPjF1/pgSuCvYMfp yidY+AOdaN/iBErY9zyty7YapYhLxjWv8cL1siO5QxHj6F6hTeyNhBp02Vfs 4xz9Z6Sr7beq5tw4uu/Ud5n4W3y3Y9kN8Le/j12k+tucX0yFpe+b8KHAfatP DdajLaqNM2p/hlHk6NlR2N/3x2DoAtk/giUpDfb3PvSjH/Z/GBG9Z5rsry2/ lQ32D+N900/mPixkMehLnfu2yFHnPt5bCq9g/4iokxqnyf76uwNSYf9/pxnX pN1MwfxCKPvHkBvK2dAyv1g/gSpE3zaan2TP7FVIWhFDznFHUegFFnKOomFh GeR3yhDt96203x/6IzayD5qpvOz2k+xTSNtH3NaiRPbzRXSs3mCkJq0P9yoH mny8M4BEXqwZPPNdHjkdaYvI6+7DdRlSrmYXBtBK23h9lc8X8Y6Ri6OwXutO wi1YHxJQYJL1Zh8OfjjSONxFfLVFwEYZrQHE83rxIVmPMtt1qeu5i+Oo6zXW qrzWJftfNXnzBvaP33rvIez/zV9NUpnsP/yqkRoPV5cQNZ6mTO7N78n+X/aW UPdf1pJM3X/dtxOZRWyBGb6pdVQ8JN/npOLh+M1NgQQPmbc5Qqh42EfDg4++ 3zaHvjLc+9f1HNyPGduItMP92FdGJEPmFHyxrvw2zCly7WIxMKdUnJ/nqvla gyccBoPhXpGr5zj1zzt0Pn+ZI+eLmVDP6E9yvoGSI1T8FK8/mtptUYetVm3Q kMwPQ4GaUTxw3yi9bLGUzGW45Ku6E8xlnDX5HTCXndxOL09X14DTPuccg3vI hCHfKbiHzGLrcyLzGo7yyhqAeU34DAN1XnNhODBHeBX33VrWCrx63CZTFXi1 wm1yre3XRrwxniGKqzkXvZG8s+zt6jEkVlHbakfyTTtilg9/TrFzeXgf5Pvo ru/pDJKvh4i+Cdwn6KV9jIN8a9ZYXoR8b4gmhM