(* Content-type: application/mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 7.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 145, 7] NotebookDataLength[ 136523, 2463] NotebookOptionsPosition[ 135425, 2423] NotebookOutlinePosition[ 135794, 2439] CellTagsIndexPosition[ 135751, 2436] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["Graphics commands", "Subsection", CellChangeTimes->{{3.4975566182733107`*^9, 3.4975566205034385`*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"fishp", " ", "=", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.2028", ",", "0.6056"}], "}"}], ",", RowBox[{"{", RowBox[{"0.2639", ",", "0.5333"}], "}"}], ",", RowBox[{"{", RowBox[{"0.4083", ",", "0.4694"}], "}"}], ",", RowBox[{"{", RowBox[{"0.5222", ",", "0.5139"}], "}"}], ",", RowBox[{"{", RowBox[{"0.5194", ",", "0.5611"}], "}"}], ",", RowBox[{"{", RowBox[{"0.4139", ",", "0.6194"}], "}"}], ",", RowBox[{"{", RowBox[{"0.2111", ",", "0.4472"}], "}"}]}], "}"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"fishc", " ", "=", " ", RowBox[{"{", RowBox[{ RowBox[{"Min", "@", RowBox[{"fishp", "\[LeftDoubleBracket]", RowBox[{"All", ",", "1"}], "\[RightDoubleBracket]"}]}], ",", RowBox[{"Min", "@", RowBox[{"fishp", "\[LeftDoubleBracket]", RowBox[{"All", ",", "2"}], "\[RightDoubleBracket]"}]}]}], "}"}]}], ";"}], "\n", RowBox[{ RowBox[{"fishp", " ", "=", " ", RowBox[{ RowBox[{ RowBox[{"#", "-", "fishc"}], "&"}], " ", "/@", " ", "fishp"}]}], ";"}], "\n", RowBox[{ RowBox[{"fishw", " ", "=", " ", RowBox[{"1", "/", RowBox[{"Max", "@", RowBox[{"fishp", "\[LeftDoubleBracket]", RowBox[{"All", ",", "1"}], "\[RightDoubleBracket]"}]}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"fishp", " ", "=", " ", RowBox[{"fishw", " ", "fishp"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"fish", " ", "=", " ", RowBox[{"Graphics", "[", RowBox[{ RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"Polygon", "@", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"BSplineFunction", "[", "fishp", "]"}], "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1", ",", ".01"}], "}"}]}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"FaceForm", "[", RowBox[{"{", RowBox[{"White", ",", RowBox[{"Opacity", "[", ".8", "]"}]}], "}"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Disk", "[", RowBox[{ RowBox[{"fishw", RowBox[{"(", RowBox[{ RowBox[{"{", RowBox[{"0.4389", ",", "0.56"}], "}"}], "-", "fishc"}], ")"}]}], ",", RowBox[{".01", " ", "fishw"}]}], "]"}]}], "\[IndentingNewLine]", "}"}], ",", "\[IndentingNewLine]", RowBox[{"PlotRange", "->", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Min", "@", RowBox[{"fishp", "\[LeftDoubleBracket]", RowBox[{"All", ",", "1"}], "\[RightDoubleBracket]"}]}], ",", RowBox[{"Max", "@", RowBox[{"fishp", "\[LeftDoubleBracket]", RowBox[{"All", ",", "1"}], "\[RightDoubleBracket]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Min", "@", RowBox[{"fishp", "\[LeftDoubleBracket]", RowBox[{"All", ",", "2"}], "\[RightDoubleBracket]"}]}], ",", RowBox[{"Max", "@", RowBox[{"fishp", "\[LeftDoubleBracket]", RowBox[{"All", ",", "2"}], "\[RightDoubleBracket]"}]}]}], "}"}]}], "}"}]}]}], "]"}]}]}], "Input", CellChangeTimes->{{3.497550355784117*^9, 3.497550578850876*^9}, { 3.4975506184081383`*^9, 3.4975506230574045`*^9}, {3.4975506561202955`*^9, 3.497550678716588*^9}, {3.4975507303415403`*^9, 3.4975507343817716`*^9}, { 3.497551805055011*^9, 3.497551821255937*^9}, {3.4975519368455486`*^9, 3.4975519395467033`*^9}, {3.4975520136459417`*^9, 3.4975520204313297`*^9}, {3.4975523149031725`*^9, 3.497552367039154*^9}, { 3.497552398192936*^9, 3.497552437058159*^9}, {3.4975524914072676`*^9, 3.497552569836754*^9}, 3.497552617996508*^9, {3.4975526518634453`*^9, 3.497552659046856*^9}, {3.4975529648753486`*^9, 3.497553047972101*^9}}], Cell[BoxData[ GraphicsBox[{PolygonBox[CompressedData[" 1:eJw1VWlQk4cCBMViETktxkLlqHiglJuIoMspqAGLRrRPqgLSRh+Kj9MRaQER fGoRLIIgokCLkVOsBYuFZ0ICCUEISTiSYIAIJJDjG1Gs4lXej+7Mzv7ZPzuz O2sbHb8ndpGOjk7sAv+v/+D7rdcqvm4bheF1zyxFbTGiIsqM1xrIIJ8IGXQS 3kFWmPHD7OMjEIS+m7/9pgnZrT4rV8okuGcTqpKSHsLBKfFu7lExrgrDio2D 2uHsp6vKeD+EH+9YndDdxsTe8x4H6umDYGytDG7/lg1q/qETLbEDENqIOBUZ HDx/1V29w12EucCwQ1d+5WEylJthtEKIhPK65OO8XsxuoKfe0xOAlR+07dJr Pgasm/UlS/qBcf9Tjy4KQGH51Xus5OPJlrLcFksRNh1w40pP9SK/2Nr7ec0A xodI1H8JenDneamfhDwEskv/C+89PJADRsInGMOo/unN7QGCi5icJrvMEAnq LZyoZ2s42Pm78rgdTwrenNEn5zO7YNq9e9xrx1Ocpno2BiZ1Qtr+wMeLKYNb pH+ISRYb8s7ZVdzPx3DGk8/1qWHhDGl428H+MXQapm+yVndge/h/lJeyx1G8 dIpmGNyBiJP2s+buchzbS0/9ppWJP+MOkutG5Wi2iAo/GMTEleSpRFLuM7xz 0R+LVDDwPmrnZLDDBH6LfC3IuMUAmZx61507gXA9dfdoHANJ85Gy4ZhJUIpK aFfDGHh2T1Xx1fwkLDMeUpoCGGg7bG7mfHkKbk46pH27GHA1ZFGGVimw3HT9 v4uOMpDySBO/ukoB658VUz/lLfgTMko+rlNCZvdqI5XDwGZynCKJrgTTcZlU 15SJL4wqUk+vmYafrayw8XsmKt4Z0fTKpiE4vnY+mcfES/3qQTPjGahSb9Se 8O7ATo+I8ZvpM1jU/HJHY3MHxP81rr6lmEH+1enkvT4sCAyY/mahKuinufAT eCzQ2r4dIOpVkI+ce2Mfw4agWpDmaqBGkf31q+cXdcK3x4QqilKjhGnvU0Pv hNJ16dm+B2pE204U1VG7MD9KN129WANa48WAX5dw0DAsd22laGAr4cvrWjlw tat+f7NAg8XGJz8bSeCijSG/0tGvQfajVWd3OXYj688L+vbLtVgdeqnFfLob dS+7OlsDtHgQvD/9h4Weej/u801J1oK4kDNYEt0D+z3GjsGVWsj1Po79YvME R5/O+X/RrcUvjdWtstEnIApnvZRqLSjpMZk5t3vRVpvELTYgQERZ7pVG94FN VdEtvyQgXC9Zm2fOh24H+0qMJwFfm4vBrBQ+YjckehwOJEApyC91kvKhbY0O /0AhoJcy1kD49iOvZvEN568JnOLEma+hL+xjI5s7GUqgLGv9frWJAK/jLa4t 307g5/JPPqWlCdBU+92D4s0EjljMtzQrBIgytR9NtCdgNDE3+9c+IXRFj3sK DAnc1dWE7OoU4sLau+7jGi22HBOE8DeLoPYO7Q3natGzoiSzul6E9cFW4cJy LU58cMvSrBmAc9r5pH0ntVhnUyRmlQ/gvcFrooushU7SfQuK5SByNjw78/lb DQxepnEqSwfR+Wlzj89DDXaXTqYrrYbQIBstWx2vwcAROduncgg+0r7KRmsN 6v1inf7nMIzMm6Z2DVw1lrFZDtLfh/ExvjLPLE4NYe1k/UZfMQ4uLVNWLVHD Ksgkv5gthrsVyXnDNRXmRi/Tl/hL4BDlHHtslQqJvKreyCYJZJc/5G4smEFV xE3xOWMptNSy655vp3GDz7gddUAKnfgvi8MjpnHywjdvR3KluJ9ffy6gQgmH J3WPR0qkqIqnHhJKFJjSLOYEX5QikeGyjqOrQJPXHaXePik6vQ/LlCumUP5R 9mZ+ToItha/OvTObRHveC4HJMQkSMkxJ3fPPsM7TcZdjjRjLmrmlJJ4cU4Ei L/JCPvrMZsPGrHGYGLikfJYzhGnh6TiqzRhaRJeGGkiDGAnbnnor6CnULzZ5 zNBEuO9R9aLPVIKO5sjvGhIEKOzyDuNUDoISF+Mvd+GjNz4g1+KVANu7zPzE gTxYuEm3Fpj1onDI8R4tg42vjkgdxL+xQdsdrptp1Q7+mZFav6I/4Lp/d/Yf 1xthaTDw1rasFP/8yN9gqy8L "]], {FaceForm[{GrayLevel[1], Opacity[0.8]}], DiskBox[{0.7391984971822166, 0.35316217908578607`}, 0.031308703819661866`]}}, PlotRange->{{0., 1.}, {0., 0.5391358797745772}}]], "Output", CellChangeTimes->{{3.497553020616537*^9, 3.4975530484281273`*^9}, 3.4976146558515625`*^9}] }, Open ]], Cell[BoxData[{ RowBox[{ RowBox[{"fishwidth", " ", "=", " ", RowBox[{ RowBox[{"(", RowBox[{"PlotRange", " ", "/.", " ", RowBox[{"Options", "@", "fish"}]}], ")"}], "\[LeftDoubleBracket]", RowBox[{"1", ",", "2"}], "\[RightDoubleBracket]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"fishheight", " ", "=", " ", RowBox[{ RowBox[{"(", RowBox[{"PlotRange", " ", "/.", " ", RowBox[{"Options", "@", "fish"}]}], ")"}], "\[LeftDoubleBracket]", RowBox[{"2", ",", "2"}], "\[RightDoubleBracket]"}]}], ";"}]}], "Input", CellChangeTimes->{{3.49755226713244*^9, 3.4975523086778164`*^9}, { 3.4975528403152237`*^9, 3.4975528639735775`*^9}, {3.497553051326293*^9, 3.497553074053593*^9}, {3.4975543407130423`*^9, 3.4975543453403063`*^9}}], Cell[BoxData[{ RowBox[{ RowBox[{"boxwidth", " ", "=", " ", "150"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"boxheight", "=", "150"}], ";"}], "\[IndentingNewLine]"}], "Input", CellChangeTimes->{{3.497552800622954*^9, 3.4975528108435383`*^9}, { 3.4975543482024703`*^9, 3.497554351970686*^9}, 3.4975570758084803`*^9}], Cell[BoxData[ RowBox[{ RowBox[{"RExp", "[", RowBox[{"n_", ",", RowBox[{"\[Lambda]_:", "1"}]}], "]"}], " ", ":=", " ", RowBox[{"Table", "[", RowBox[{ RowBox[{"Random", "[", RowBox[{"ExponentialDistribution", "[", "\[Lambda]", "]"}], "]"}], ",", RowBox[{"{", "n", "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.497554831826132*^9, 3.4975548596347227`*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"RPareto", "[", RowBox[{"n_", ",", "\[Alpha]_", ",", RowBox[{"m_:", "1"}]}], "]"}], " ", ":=", " ", RowBox[{"Table", "[", RowBox[{ RowBox[{"Random", "[", RowBox[{"ParetoDistribution", "[", RowBox[{ RowBox[{"m", RowBox[{"(", RowBox[{"1", "-", RowBox[{"1", "/", "\[Alpha]"}]}], ")"}]}], ",", "\[Alpha]"}], "]"}], "]"}], ",", RowBox[{"{", "n", "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.497554870290332*^9, 3.4975549124187417`*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"RUnif", "[", RowBox[{"n_", ",", RowBox[{"m_:", "0"}], ",", RowBox[{"M_:", "1"}]}], "]"}], ":=", RowBox[{"Table", "[", RowBox[{ RowBox[{"Random", "[", RowBox[{"UniformDistribution", "[", RowBox[{"{", RowBox[{"m", ",", "M"}], "}"}], "]"}], "]"}], ",", RowBox[{"{", "n", "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.4975549202951922`*^9, 3.497554945926658*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"fishcol", "[", "x_", "]"}], " ", ":=", " ", RowBox[{"Opacity", "[", RowBox[{ RowBox[{"1", "-", RowBox[{".6", RowBox[{"Min", "[", RowBox[{ FractionBox["x", RowBox[{"2", " ", "meanwidth"}]], ",", "1"}], "]"}]}]}], ",", RowBox[{"Hue", "[", RowBox[{ RowBox[{"ColorConvert", "[", RowBox[{ RowBox[{ RowBox[{"ColorData", "[", "\"\\"", "]"}], "[", RowBox[{".4", RowBox[{"(", RowBox[{ FractionBox[ RowBox[{"x", "-", "meanwidth"}], "meanwidth"], "+", ".5"}], ")"}]}], "]"}], ",", "\"\\""}], "]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "]"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.4975552616117144`*^9, 3.497555327523484*^9}, { 3.497555482015321*^9, 3.4975555201825037`*^9}, {3.497555624996499*^9, 3.4975556251625085`*^9}, {3.497555739169029*^9, 3.497555744223318*^9}, { 3.4975557922070627`*^9, 3.497555849007312*^9}, {3.497555880311102*^9, 3.497555910325819*^9}, {3.497556876545083*^9, 3.4975568787902117`*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"drawfish", "[", RowBox[{"size_", ",", "dir_"}], "]"}], " ", ":=", " ", RowBox[{"Inset", "[", RowBox[{ RowBox[{"Graphics", "@", RowBox[{"{", RowBox[{ RowBox[{"FaceForm", "[", RowBox[{"{", RowBox[{"fishcol", "[", "size", "]"}], "}"}], "]"}], ",", RowBox[{ "fish", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], "}"}]}], ",", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"RUnif", "[", "1", "]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], RowBox[{"(", RowBox[{"boxwidth", "-", RowBox[{"size", " ", "fishwidth"}]}], ")"}]}], " ", "-", RowBox[{ FractionBox[ RowBox[{"dir", "-", "1"}], "2"], "size", " ", "fishwidth"}]}], ",", RowBox[{ RowBox[{ RowBox[{"RUnif", "[", "1", "]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], RowBox[{"(", RowBox[{"boxheight", "-", RowBox[{"size", " ", "fishheight"}]}], ")"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}], ",", "size", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"dir", ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "1"}], "}"}]}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.49755355951836*^9, 3.4975536401409717`*^9}, { 3.497553670404702*^9, 3.4975536715417676`*^9}, {3.497553719228495*^9, 3.4975537193164997`*^9}, {3.497553847565836*^9, 3.497553847900855*^9}, { 3.4975545585295005`*^9, 3.497554633296777*^9}, {3.4975547205997705`*^9, 3.4975547285182233`*^9}, {3.497554955263192*^9, 3.4975549637536783`*^9}, { 3.497555010030325*^9, 3.4975550171257305`*^9}, {3.4975553049051905`*^9, 3.4975553092574396`*^9}, 3.497555747629513*^9, {3.4975558206416893`*^9, 3.4975558211917205`*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"FishTank", "[", "sizes_", "]"}], " ", ":=", " ", RowBox[{"Graphics", "[", RowBox[{ RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"FaceForm", "[", "None", "]"}], ",", RowBox[{"EdgeForm", "[", "Black", "]"}], ",", RowBox[{"Rectangle", "[", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"boxwidth", ",", "boxheight"}], "}"}]}], "]"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"drawfish", "[", RowBox[{ SqrtBox["#"], ",", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "1"}], "}"}], "]"}]}], "]"}], "&"}], " ", "/@", " ", "sizes"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", ".05"}], " ", "boxwidth"}], ",", RowBox[{"1.05", " ", "boxwidth"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", ".05"}], " ", "boxheight"}], ",", RowBox[{"1.05", " ", "boxheight"}]}], "}"}]}], "}"}]}]}], "]"}]}]], "Input", CellChangeTimes->{{3.497552193308217*^9, 3.497552242639039*^9}, { 3.4975526898106155`*^9, 3.4975527129369383`*^9}, {3.4975529376207895`*^9, 3.497552952690652*^9}, {3.497553101109141*^9, 3.497553168710007*^9}, { 3.497553203551*^9, 3.497553266541603*^9}, {3.497553298562434*^9, 3.497553406220592*^9}, {3.497553493738598*^9, 3.4975535351389656`*^9}, { 3.4975535840707645`*^9, 3.4975536141044827`*^9}, {3.497553660677146*^9, 3.4975536641493444`*^9}, {3.4975537053897038`*^9, 3.497553770773443*^9}, 3.4975538759154572`*^9, {3.49755476815049*^9, 3.497554772986767*^9}, { 3.4975576067008457`*^9, 3.4975576577107635`*^9}}] }, Closed]], Cell[CellGroupData[{ Cell["Demo", "Subsection", CellChangeTimes->{{3.497556635370289*^9, 3.4975566357343097`*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"nfish", " ", "=", " ", "18"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"ntrials", " ", "=", " ", "6"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"meanwidth", " ", "=", "40"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"samp", "[", "]"}], " ", ":=", " ", RowBox[{"{", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"RExp", "[", "nfish", "]"}], ",", RowBox[{"{", "ntrials", "}"}]}], "]"}], ",", RowBox[{"Table", "[", RowBox[{ RowBox[{"RPareto", "[", RowBox[{"nfish", ",", "1.1"}], "]"}], ",", RowBox[{"{", "ntrials", "}"}]}], "]"}], ",", RowBox[{"Table", "[", RowBox[{ RowBox[{"RPareto", "[", RowBox[{"nfish", ",", "5"}], "]"}], ",", RowBox[{"{", "ntrials", "}"}]}], "]"}]}], "}"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"sizes", " ", "=", " ", RowBox[{"{", RowBox[{"{", RowBox[{"RExp", "[", "nfish", "]"}], "}"}], "}"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Row", "@", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"Button", "[", RowBox[{"\"\\"", ",", RowBox[{"sizes", "=", RowBox[{"{", RowBox[{"{", RowBox[{"RExp", "[", "nfish", "]"}], "}"}], "}"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Button", "[", RowBox[{"\"\\"", ",", RowBox[{"sizes", "=", RowBox[{"{", RowBox[{"{", RowBox[{"RPareto", "[", RowBox[{"nfish", ",", "1.1"}], "]"}], "}"}], "}"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Button", "[", RowBox[{"\"\\"", ",", RowBox[{"sizes", "=", RowBox[{"{", RowBox[{"{", RowBox[{"RPareto", "[", RowBox[{"nfish", ",", "5"}], "]"}], "}"}], "}"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Button", "[", RowBox[{"\"\\"", ",", RowBox[{"sizes", "=", RowBox[{"samp", "[", "]"}]}]}], "]"}]}], "}"}]}]}], "Input", CellChangeTimes->{{3.497556293003707*^9, 3.4975564002788424`*^9}, { 3.497556446373479*^9, 3.497556513309307*^9}, {3.4975570620496936`*^9, 3.497557136502952*^9}, {3.4975571872628555`*^9, 3.4975572101351633`*^9}, { 3.4975573316681147`*^9, 3.4975573514512463`*^9}, {3.4975575342207003`*^9, 3.4975575782112164`*^9}, {3.4976146322890625`*^9, 3.4976147836640625`*^9}, { 3.4976148381328125`*^9, 3.4976148385078125`*^9}}], Cell[BoxData[ TemplateBox[{ ButtonBox[ "\"Exp(1)\"", Appearance -> Automatic, ButtonFunction :> ($CellContext`sizes = {{ $CellContext`RExp[$CellContext`nfish]}}), Evaluator -> Automatic, Method -> "Preemptive"],ButtonBox[ "\"Pareto(1.1)\"", Appearance -> Automatic, ButtonFunction :> ($CellContext`sizes = {{ $CellContext`RPareto[$CellContext`nfish, 1.1]}}), Evaluator -> Automatic, Method -> "Preemptive"],ButtonBox[ "\"Pareto(5)\"", Appearance -> Automatic, ButtonFunction :> ($CellContext`sizes = {{ $CellContext`RPareto[$CellContext`nfish, 5]}}), Evaluator -> Automatic, Method -> "Preemptive"],ButtonBox[ "\"many\"", Appearance -> Automatic, ButtonFunction :> ($CellContext`sizes = $CellContext`samp[]), Evaluator -> Automatic, Method -> "Preemptive"]}, "Row", DisplayFunction->( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3, "\[InvisibleSpace]", #4}]& ), InterpretationFunction->(RowBox[{"Row", "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4}], "}"}], "]"}]& )]], "Output", CellChangeTimes->{ 3.4976146703203125`*^9, {3.4976147166171875`*^9, 3.4976147852109375`*^9}, 3.4976148411640625`*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Dynamic", "[", RowBox[{ RowBox[{"GraphicsGrid", "[", RowBox[{ RowBox[{"Map", "[", RowBox[{"FishTank", ",", RowBox[{ SuperscriptBox["meanwidth", "2"], "sizes"}], ",", RowBox[{"{", "2", "}"}]}], "]"}], ",", RowBox[{"ImageSize", "\[Rule]", "Large"}], ",", RowBox[{"Spacings", "\[Rule]", "0"}]}], "]"}], ",", RowBox[{"TrackedSymbols", "\[RuleDelayed]", RowBox[{"{", "sizes", "}"}]}], ",", RowBox[{"SynchronousUpdating", "\[Rule]", "False"}]}], "]"}]], "Input", CellChangeTimes->{{3.497556293003707*^9, 3.4975564002788424`*^9}, { 3.497556446373479*^9, 3.497556513309307*^9}, {3.4975570620496936`*^9, 3.497557136502952*^9}, {3.4975571872628555`*^9, 3.4975572101351633`*^9}, { 3.4975573316681147`*^9, 3.4975573650420237`*^9}, {3.497557502334876*^9, 3.497557506788131*^9}, {3.497557729807887*^9, 3.4975577624537544`*^9}}], Cell[BoxData[ DynamicBox[ToBoxes[ GraphicsGrid[ Map[$CellContext`FishTank, $CellContext`meanwidth^2 $CellContext`sizes, { 2}], ImageSize -> Large, Spacings -> 0], StandardForm], ImageSizeCache->{738., {183., 187.}}, SynchronousUpdating->False, TrackedSymbols:>{$CellContext`sizes}]], "Output", CellChangeTimes->{ 3.497556406444195*^9, {3.497556493610181*^9, 3.4975565143443666`*^9}, 3.4975571368559723`*^9, {3.4975571784143496`*^9, 3.4975572110472155`*^9}, 3.4975573661270857`*^9, 3.4975575071081495`*^9, 3.4975577313019724`*^9, 3.4975577630777903`*^9, 3.4976146755859375`*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzEvQWYFEfXNjzv9MjuYskTJwJx94S4JyQhWIK7u7O4uyzursHd3d0JLkFD ICGEuOd53/PXfU5Vdc+wQM+SfP910c1OT3VPd9e57yN16lS+Co2qV6lToVGN ShVyvt+wQv3qNSql5sxdr6E65PxPIBD8IhD4n4Y5A/ibAgGzI/VPdl9ih8P/ woEI/quPX8xk/0rBXw2u+Fcy36NDgcgtFPifCH+qjH3Ec1l8z0/CPxionc6x pHSO1fHZ7j45lumX38key+3z3ALpnHv7P3x/+h0UmLORujUdTvxbldJpF7r8 K8uezm0WuPrP3/nF1wm/xmd2HqNOLcfLbSb4GhunTacPFm//N19jqNSEFbQw T3MaVrU33XHmG3pVmmb++TcqOnWlNL03Q2+35MSVVGX4gqu93RCL959/0ayP m9CTnx0lv/IsLzj09so9NKdARxpeZYB6gAv0gDTFFW3TOxJ7712aj6F5+dpS 5RGL/633Hi4/Zgm/d2zTirSnlzYdoMDL0v76736iwTV60IjKXa0cJfbyQ3j5 Cz5qQe3bjGXRy3/Zuwvj2C1fX6Rl79Xm7eNZqylQK6FOCJtOwDaxZA96Ycth Ctwv7bs3GUoWaYn1RNj0BDb8zde57V/pEadB7+m2RwJB3jvoJdsuLO1u+fo7 7i3+LgQKCjitOn5KRaatoYcOnabAg9IFDx06RZOLt6El7zegcWU7UoY6Mlxr 4BzuSGxDq/Uh/Hog35WfzPRmIMh7p0XnMZT551+lXXWfb+VuucGXN+61b6DQ jA0UQhcHnOKT11L86UDfY/tOcbNAkFs4+eZt5WORP/+mwPVySTzCog+b0Jjy XZly/MqE3BGzNr8FfHpUenBwjQFWTrCNK9uDHjx8hpLdO3tm5+dUYpISbUf2 r63bx3zhFYF/VaQc3kchMAC4aYu/ocsG1O5PgRRpObpCmhAC2twg1wIjP7Hn mILnGvV2S3+qhM95bvshuvfYlzFwxvcQObPN/KR5Bkkkgts3sodtatEO9OLm g5Tk0tTje08QuEYYJ+C8vnaPC/aXr/y2Hj54UsTUkf2oih1FxXILuUfQ+Msb 91CjHp9Sv7o9KSxN8WelkXMJkh4o7rNTcsgxXLJ5l3GKYdPUi5RjEFbDXwFH 9s27THMfRd/O9d/9rDTyDsJ30wt3oSS3KVMeGmWVfjBSjm1OgZb0xprd/pXJ 3S7VTCzZSWhFRN0ZWamPFfOAI/tCM9a7aJRHCuHW31mxm1p0nkwzCnWkJGkK pKA5AzL074g9RNyKfUj2E0p1YZEGn80u2IayiqRXHTbfvfNscvoba3ZR33p9 WXoDUd47bduNoo8WbBTkOC4imncZL+1C2GdIzJ0m3adYEQ84sofhYk2IoGGR b9igAQ0HkqUdiP/Bw19Iuxev/Jpg3LD4hngfWfBRA8o7X3oOggwZhxGUSWQc 8m1vIUUuc+cX593X9YHPXrnL0O5Flvkl79dX/NiB9FNVGrnUFX1h9/DYcr0J hitagEbr9pun5FpkvW27iS4sMss17jl+1sp6IMh71bPz3FuNuPIMHJSasJxN T7V3nt1xxL1eerd/BeUkGGuq7r2Vuu5n9Ig0nVy8qwuREO/DgAF+5ubz31O9 vrMJbQJZXEzcfeKrmM7+VzEhqiAMHMBqQC+/u3wn24GBbNICr8VeI7Mr8BYY mUXsAQCoAFgbsDIiGcdB12YjXByEZN+r4RDW0aB9/J3VhYc9PdeV38Rz2w+K 2IddmgelQ9QDWeUYRD/+XAjK2HJd5NiHPt82U4jzxJ7PGSxfx180jG9mftKM QYBtcvHWtssh5RYJYZH2PvWHE4xbkH3gOjk2qOZg97qZ5FxoZosAR/YwfK2m 178BJq89YJZidXWlJGkH7dCw11R+z4FoQghQz3OcEWC2CqMXUeBhfBcV2YYl BNOnXVv1hq8TLOAYNJm5GF845dplHD5kvAUNobHWmn4JeCkgTm6RRfSDkXe8 IKYEaQreN5aMEfl5+Zqwbwo9YUUe5HKR4l7PP4AAfgDcEBRX4Do59uGire5P PX/ll5R76RYv64e9tI4X0a6tciCyCAwYEuYaWhIqjF5Iiz9oxFsgj88OyWTU xddUp/80kfII5B1kl0bVh8xiwjAuTdGpKywiAg726UFC7KII/DvYQObHYESn NR5NGh3QF/Y+tFDh/Vl0hGQ/vXAbfq/vLt9BA2v1pSwuGNhUYvFOCAyOFwxQ Q00ZhMNcEIZd+YO6YAUURgsxRHCMu+YmaQcbKU6PRBAT8MaNYGJBl2STRo/v PRkDq2tHVRjOgEEVNkRsjHDgBRrUaechzB6p+jbPwi2sGPGCjUAgomDhlIn3 EWgUr12BN1Bx1HwK/2OwwhNYWAUFQvAloPO8vICn+bR0V2mXRdox7BKFWtDV NHAyPLfpQBvhOLdISUf7aBlBH7dpP0ZgF+Q9m514mzB3Au/77EUtAXDYLMRS eB+GFQboQR6xpTUeqGGqXwgChxZ+QcEXjlny1g8FOAKW3CKztMNnNvI9fICb j8dhx1Yj+YHwHTCZ1cWh5W2/foIWD+DI4tDhfRRuDPBp2uL9QkJ7Nxik3oe0 RBvYQ9xGggVO1h//pKd2n2e7TWOQdZoFWshg+me267hFZtFzwKUXq5fVc9oz jBH1jxJCaQi2G/AHmw5yLT8TwZ9eAK+p0osOjlxI4hU5JhgAk8AwVsHZHmdO BzDg+ljcBrEPrlWaT0MUUab3lm2LkV8YJHD93TNgfJy6RihHvFDGZuzDsGHM vzgcMOtj9f4zCYLxt3WRLm8r8mBHsSnLbByyS/NBHLWSrzMjLDm1aHPa/lw5 OvJAEfryrZr0c9sR9O0Nuels9o/oZM6CdPT+QsrXbaZ+7jTpfoFoD6+Sxjhe /WZjEiiz51BqwjIl8a2VFjpMfiPzuj/AjxbNWURtIqaAfoJ5aZStkSiA1sQV yo5beYljBCnFcTYzdYhtXZMxtEvrX3PMBhkuB2rtfAHIzPsedoWcte4wTtpp bctMZq7nJIZy+V2N8rAruzBBpxdW/Z9VjnVsNcr1YyU4Errzix9V/65VXXCA ka3jGP3qDhGgo5FWcbAnTBjYxDvWNx5Juw3Y9THEOCwp+HXiNPBTe05ilZcB 4DsmgM8xGq2ygQiQndnYstdxGSg5BNamVurJbBB04yPQ7OglcKLQpsMmSqwq icD29Ub4Ts9dTydnrCbHZQMEAfmda7dHfP8e9hSwQ8aGdcJQ3Ab9eA7Pz7CI wTVk+OtIymplnhwcuSgmumIV/5UpgYcmyoxfxHSAIDb/lkAwUnD2OppUoj1t zVWZjt9TiC7mKEDf56pIQRBCIPrNTR/QvsdK09LcDRn78CRLf7pUbEHpimRc Ym7+5ta83vlMEzr8YFP1c41Y93EIQyGqMXfEMveW30mMLfrW6+OyRSbeR2CS e2PruK9OLYeC0vG1IQ74moA+iOG1dfuNWwRth8ANlLwxDBaV7knLqgyIMRbw PU7js7LIiysybbXlC2zDq/RgAdV9DvmEPc4EkSI0AdqIExHfNAElb2kiJHtI NSgPmBlepSdlE2GH3WBPl5hHGLq/T/2VyspdQuXH7OVwVCAokEdMx5o4Ghz4 HuOmxm5fUrI7rajUxzAMTAcb6vFLeMISIbAEwIOQCyTRrzPm0Y2wDpgo9EsE OTTtNkn4MsJvIQUvBPaA8YjRNwiz83nqM86BpRRKhyG0eGBcAJ6xKP8VBZvp +Ci8aRgKuBVpGkJMyTAD5DEjpKBN+pjBMt0dEGsYBMZuWFK4PYER9Ck4jGfj xlcJn8JxBgkYC65O/xmuY+xg72x4pQZhNKGB+0VIvq42dC6ZE6RxIAy4n7mj OR27txm9uPlzjsHAXG3MEj/2kqgkKAHEyeQZ5D3HhO3NPpMYLchIjaaFIJv9 Kwo2JW06wEdH53gxB/NiXr7GnjMCYTP+g/FvsATHbbWaBTgQvcL4BGK6mhXw Jzx7diMk6B6GGBlGANy9VAtND5Yw36+tnEaHRiwg8SAceBD2XSXossvPxrrs AIARdqPJcTtwDeDQwnhBu5c27Y+X/KR88z5nqjBb5RF72CoA+uEeZHP5E547 mELG+2UQxT6GX5ITaginNR5kdSvQxP70jdLeGjSJiIgnUmEjwfpV4B5hU/FL yCTWF/gAdpeJdDApCJ84DXtNc39fdACPI0CAWXiuk2OGCdiTyFjKB0DN44D4 pAXrnuPn2CHCcWyIJBtHHrcRN8R2RefeI5RsulqUZxFEd2o5gl8B2jXqMZmV u3bew/sea8poxzapxATqV3cU66PGLHFpZJFsh/p+Ug7qZoJ0zynQgiLSdGLJ Dm6w9mmfvSmMFUIozgCe4Q6rLSRwh3Kx/qeYvknw17zBag5ra6gD5pJowCMt QCLzl3QwW5lQLNMqdme4evwCyAa/yMRCzREvVLHh8ui8iCuqUFuixFzTP+4l OCm//kU1Bu9idCJkvIQffpuSi0M8Vhm4MyHoRbzQM+PdUGRyWykQMdAm3i+a GrWISBg+4zgCyVr6kG5lzQr9q9nPegD8YEJd7sCUt/ymeQvWFUwdgDZdkN7t AtK67PckBsjbXJVlx2p0ngVwbyM7esQMLvCMQi0lsuWX+5JdPjJWdCCTKFhY 25aehbfCePMwnfrU789tAchAEHAMOHPzj6G9j3dRFnhTA8owQGd8WNwzgIhX eIk1/oTP+xUVkfzesq1Wia4t24FWl2xrh4KAUEahtGUzHFE6fA+jCkdhT1sO Oufehn69QKEd+9TUKv7gMXm96QWgrjDGaTCFDe61nJ75iT2naUDtMbTj2Vbq Tbah4y+k0fki4+jQQ21p/6Nt+PiWF1oqX3KMx9xz4Hi3b7Ne0Bdy0YcgPst8 YuiLDSiLAxqpPmR2zAgH7By0S5EBfciBiVYhFQeq2Tr+mpNGVhpHjxw4lxjk kl2Zj4NcGLrR3BLkleEWToek0osDXR1m6SUbvrdsu4JUK7EWH5YLweFc/EEq bzjuF2laZDAuYlWejklvbzGc9veLMWwd/Cx8Xb4t+Y2wyUTr1bC/sv1mKDlp ZtCnXM7hjD58OvhwM+UzN7aGcO8GAzhABr2HN4Zj+H7t600ErUHeR3Y/1Vhd I5WPbX+uKa15owlh6OpJn4+o3T3cMtQcwuVgcR7DzWY6VsAIAJtXgpQSOFX8 qHeaYx670K88323QO40Fh4lHBCrppU1nqVnXzdamHFtuvnpFY+mz5wbQl4/0 pOAXd6p3Ez3yQDfl4kywzer226FszFOECLaR69fXfqGc62UCv7DAD3GwhG9X w89oMzcFRoZMESLCMGkgq0ASnw3WsCEyDrNYzMxQ+K//KptoBG8fLtpHCSo5 GOwWcSnuuJulx5DRMkfY040fn/OPvkjMVxrM4K7nvQBrxPoIxtsDropq1vVT xh2Ak6rVoL2S33ihVgvAtjdwtLfXFDoyZpEOLjsISwF/bNryjWtmRHfNLjjY 2qEA3uEH25PgMPPJnM0ZNwhKG80HI+CxfcfZuAP6gLvdTzVjpzUsyvNs9qb0 a0pd+vqWJlah7n6qK1Ubuo0ePHyBAo8nhgHgzCg7k6Rt0sSxgWBfS+ySrTuM JzuuobFw94kfXFV0nauKALfwX/9rOyXGYIxeO2bMqIhHZYWgsvCmzdinwMYB hOrFxZk5ezRWbqI3ffOTxQ+2Ov1X0tO7jlP+uZsVzCXf1Dsy7DsNWgMM9gOs RS9w1lbuQee3HiT8rwfZGIiW/eQ1cx6ixPMEoDzgll7qWAzQovFAu/vE14o1 urGZbnqwyvCF8ZZkBHJvYIENcuuxP+DXA3nsqMovco4nDAIMt8IIDTFAQ8Or dOdDeRZuYptMu8Qw6PGVoFj2dvArESxnNtL+HSE61L3JEHUu7zm0ZN8jnyvc GobW3PlMGoN31VuD6Oj97QzkQudua0qn72qhHJCe7ITIoFtk1VsNFWAb0dns qfTd9fXp4n8aEhAr4I3grN+T6vB24cZGfOUV7wyh4KiKswi5ievoxgu/xhjr V30y3RWgnw6tx8i44xsNMordmEw0bQQ9v+2cq8duEGOyR6NVrO8eOPId4e9k gSqaJQzV7IYivo7rV63jYE5a18gxonWKjDmqcxt4LMQCWEaPM5lMQHNhgHda kaG08u002vNEK/rizvr0+X0N1XVaK0kX0OMaNlk8e0LKIgWv3OsGLi/WnqNn +B+fYX+C7XVA1hveGVO+G10VquF4qDLTBOflU6LpMAPFnuYMrdaXphbtKKF0 LVNe2BrTclDN3m5iiFXhh9msY5xEJMKKv6Fs3165k/GbiUEZgZ9ngs04GX/P za+01jVg9nZXQ8UOhweSTtzdlL68vamCZFta91p/On5PawWoVPo5c236/rp6 FMSXAefQQ01o/aupdOARZcmG5NiFGxvSL5lq07c3NLQK9KsH2tMPr/YTpeoA nQHn9F2tVJfMIIamBuiA2vPVS/pBbu9hn49xq8gHaN1MY8MGQxYgxaA6PiMn ySbUa16GTWUSCra8UJvO3VaM/+Youl9k6/u84dvfXBTfKCjG5w8WH2erFaOz KTicIzHYTirRnfLN2+LpWsc1TW1MW1MJgjPGOTGJCusrdqHDw+d6VTTrYmgO jhFF3ERGJDfCdWzbbgqdytGAO7Uud1Y9Wv1mS4G+tI9gjLjYlHWKpg6xjm7d YYHyKEZTCEo74HRoPZcqjVyv3vlR63Rc9Zn1qBpYEhEyRMXwPxANJSeRePYQ gWog+uraN31IOwJpxKztqJcOVo6u0EP5Hi1p1sftONiqOxjKN3aIBO+glU2w AzVB1+FYijTamquqkvn8tO35yhxWTWWzojufAvQC9DhmJwf+M/CNGvhi2/BK X/oxa12lE2sodYk2jNPQqRxN1X01ouXvNqR9jzWhCB/ODPh+cadY1F/mbEWA LmAL0P6WXFexQBOlmNvQ/ke70JRik8gR5HZvspTg+HieIASF8/bKz5SvtEYJ 2hQKdm4xVjWtMXgBH4Ks+dZhN5uH/c5Ndk1x037ikt9CGCc1BLDniaoU/OrW omzYNXNHyF5NDN+wpI03qrW0A0f21q9+iem3GEtcW9hsgZvr+TVXZTRwbv72 +p1BTDmcpnFdp/90irtAxFh/ZhASo5XAv7bMQQ1miAvjNILkEBxY6DZsy95r Q1EB/bbnm7oZmzJKHIYeR0Ti2L0NCK0Wf9BbdYQgfnCNiVRoxk6Rg8w+n/Ie F9Lwa/hTetmAV4Y0hp9gkrTj2xjomhfSKUmflu7GkDZbvb6zeCwPctiu7QQK 8ahVCB/ZJidxhkMsLLFZuCKJIS8brH29Djmutwp0gwQCmUWln8xZRMEmL29b c1XRKj3cqaU7dw39is8Brc9hQWSUEGC6xRFCCrC9/9GOyjSbwAoX6N7zRBeF 5OZMEiAAEIFWDxteSSXwgzAF76OHHmpPE0pNVZAaqQzgAcoM707f3NRUkUVr VhBt1P74Pe3V6x3l1ekhGNyAer2+c2hsuV6ULBINtVZ23ApRx36NQJ1KDLVt UgR1ynsEn4F6ww7L3muiDM9y5Ajyl7/b2J0EmCDygXCL/OsF0ciigH0u4ijt gPKPZx2VdhFpB6sgY8h3+D2F+tYbSo/uP8G9iTieqMAoTEmEgjEGgJEXM6WL 7UMtMD0ajYif3BaB7e211/Ms/IyjlwL50JEHkODTmnX9vscakVb/G1/ubN1x g/auzWaxtc9X8huGv8tFe7x4X7VEgg8GCDMDZIJrbRN11AbEL83dTIGvDp3M WVbps+LKoq2gjrU0rBFZmKcNbX6xAR18uKqSmwq06+maymtoQWGcHHDatxnn KhkZi86EAVIgfPOL1en8zfltdhSowTyNZCKNMGM5of2PlrFccOLuopQseJ9U op2bdKq9A7jqMBK8cTZ4CxnlBdh78XY+gAyYYptUYjKZz4NrzFFiPNDMBgE1 7H28sfCBw/vwxpf72FOxLfpwpJJL5oHQlhf6MlfM+niM+q4vZRXMA/7WC701 McxDywPE61+tp35819PVWSzr8jFJ1Zc9sujw8vHiezQappiupLohlwRsJ/ol Ae3TIffBkoAe65nefiOtVMdH1FReeZIcg5nPQWrP9YwT7z03Q8SgR0hgoeON 8lvVFsKCj1qLoDE9iBxBCwIHUGuNeswghw0w1nLIfb37xDl2IIS+It65sCas DWWoA0uw44F8ePYn7k6lsFADDIF1r7VQ2qSR9Rbg9M/LN0DoIrNLF/Y5kn0+ r7YOEUTkcQp8ypswNfAU+ijDPAQtBBHc91hV+urWEhQCFwQiZ7OXUpLViNBo xTvNlK6spr4uqb92TuUoywqFuUAzQv86A92Y/H/kFcJ53/1URYXufLzN+rgl u1laQSAKhsFcpoIk2YM0Tt9ViAlh19MVGe2bG/Snc6t30fKPW5AOyiEUYKPg OhgJRT+2XGc7CNaw1xT/481CCmGEpr2D/bm2HqaA2PRR450jbJbtB+EztIdx qR3JJK9zufb1VDryQBNmic+e7MrevVwqtPzdYXT25d7009gtdL6o8hHFXtj2 fG/1jsarpxhCgetckrAe2S0+n0ZnB721ap/ydxoSwz2J95HTd5VSvV3FBu2Q Gwz/UnsKeedvp6lFe9Cqt1ooU6a0sRfWvVY/carQM0URlrWRXB1Pg21ghr0M BZze8w1dOPUjLey73doLiM1jWFk0jJwLOmnVcVNMkgco5Z+kD6g//AWTzMgQ cALHAz0SSBJzZOXbTejcbQXU/UzkQIEeEPVyhx1+FqnPiviAMR4QGoQxgdgC uOLMHfUIbsaG1BE2B33NGy2Vlq6PGBPIBHxjbY8sQibW7rjck15e4jlHs227 kUpb12NSSa/8x5X5BPyJIEg7dp26sdv06P5TyqQoTxEhjC/uLMN8Ag4JROXY 0fsrWv/DkAgih3b+keQ3sA+34ZWalkRO3F2MHjjyBelxAnwNJmAPQ3sd6yp1 p0Mj5nsDjplALKveqmvZYY1iikMj5tHSvE34M5gDcQdmFJ1TBaU5qGYvyyYJ kgksGFOgBW4mx9pDEiAoM36322UCijCo0dQcMJ6qiVC1aztVeWYrxZXQLLL6 zcF0sdk8+nPvWfqhz2oKMotEDz7cmVkEjV7ZcNpy/vTCnSmQTeQ7Jm/wZp+P Jawevv3Li9Sr4Rj1G93Um2mnBLeEaik8cf7hSvRt3lbCOGJmRM7dVkJpyeZU ePpG9oVlwHQmObhAIDI/b0dFkxX5FGygGowI+o03apbBCCCGsVgHhVyWiU8H WzJwJ+1edJzGNVhpmQfGjGWZrO65GGXnFsFrZxk4zZZlwsIeaY1HsbgjKjSo 5iBK4cORLS/UUjZ5PuVOfqRkoQXBN4TdwmKi09NtwSLuEvkJBBssNQR5HwHD TC88UB1Li0lZ15cBz218uaUyG3sq2XDjFjZ25dc00RM4kFIxslIXZhNsxaYs T7+i0JUppfKIJcZ7iSJUZjgBagRMsePZWnQ2u+KSoNgr4JXtz9VlewUbPJkj D1Q29AN7xVJNhPehDxZvJQy1N+s6gTAYIdQRgj0CswWUgvEIgWaKfR9EJIOE aUruP2FC+vy+EuoHJekm2eUsjFqYyWHLleEDUpIfSYLbgiawWPBDCHVUGzqH /0YalxZB9C/op3uTwQkbMuAeGDBmjOW2cz8Z3lCe1CWDbnzHMGbgU2ODMw36 E7Mgy9O7zlHtAZutdwPqOaN45kK1KfTl8z04BAovBzYORi1ybT1jdT06D53I wp1Z+AduvL0Fv1bN9e5rGVptCPNPICgksjR3W+YhQyI/NhpOf20/YswXfLXr 6doErtGnOKCgT2ZuZmsnEOZjob2P1+DTN71UJwMcFDJZrKZkiMYlBjSRVOBN zIEBYxN4NLGCcjANxfhVOM+ECPzSDOphxdEMV1UB/cDYD+h40/y8bZUZWIE5 JhDkvdInjey58JW0Qw2mQIUHtkKjl6WazBjdMDjBmAJSE3AeqAoDK7ALIAtI eW3abTFFhG5mVhlPn03ZRnPrKnM9LMee2+6ZTOqXgnQ7UBCkt1GPierWejQa oJ4MBk6Z8Ys5JARNrJ8CSWDIgQZTBYK8d9AsjtXYjv5ogbZ+08sIvTKb8XvX AywzCnWS2Ay+0xkeUFmGnhCXOfhwZWXllFcuVgvDgg5iMWfuKE1CaLJH/Cbe gtrxbDV3VCaZ9ykwjTASAy5AlPeTmZvIm2UEIjv0UGmTYRSTvKSn2uDUolNX MUNhw98g41tcSOIXPNaMb6ZCX9k6Y0SSVaQHQI354oF/ClyvN1efUAbfMDp2 bxumnpM523LABcMuxSfvZfcs4gICfr6IvezXNRlFu/rNiTk2onI/d3qo32CM ZqRX1x9kNhJi4X0yqOazJ2sRrJ+v7yxJ55+qxgx16KEqil4AtM6WvUBBoCJz 3ZvP/0CtO0wjYSUHl8FwLNezSoySwvGJ9VzDRXM+hmbAMZjXgv9h3oCDdKca KsJIT4I0lIQIt6GSFe80pT1PVFIdVVgp7QK0+cXKpMCG+OqUYi1pfJkOyjxM JbhSmrBg9JzMWVTIyeF9kpecTDATYsfjNoqZ9KzO6kPWxGRLIePQDL4g6Rej ssIxsl/bYyldPHGBto1Yb49h1JaHaXFWJp8PrikFOrRf3d5CKUlCKVOKtVKm 5FRJKtHowAwsYyQh6bWePhZHPSFQz4xCPVXfL2dyTS/dzgf76IyNcWV7kh29 kTuJYkzHOxbUpPtUrqqIcSAdDU6ROdFzCObizmdqE+JD4KADj1Thc1ZX7UMH Ry6mkJDQ/kfLKxOtinf6THRM+TR1al1FbpWUUSsEdeze4mw5maSQmOTah+Qm 04uN+83GA5VYL0gPVOF1QIZgVENKRTYieGLoSSNii0ul0XJFCZodYKlbdvBb I1SzA9Bs2SEkkF5Qtp97LCLHGvaaS9d9/4u3T533l+xiA8XDLE7P1BE8OZpb JBiLMSnI3mQ/5A/FVeMIIXsEHhUyDpBWEHYTajFTjsfp9PwD4ygh/ThRawWO D2Tq4MNljRXinLi7sKKM2iQMwfuk5e/WURRShk7lKEy7n6qsbr8V99L6Vxtw +CXMp4bxEYcRobFhhCBYQmyDkGEHIPylTcfNjL37Pj/PuRnwfIzjtKTFbJpS ZpQlkp6p03nWQBafT6jVD8wJi/PMgnPYJIYnYLriGFsrsdhXmnErYx9bl+aY EPUHBR67GgEkxROAFDhoZwNROi/bi/vyY5ZqTycCw6/moPmcj4mzxGHsS8Ig kTkF2lO3pqPIjCAvKdyB0e8I8ufnbUlbc1WLQT7C8JhPPrtgZ+VrNqbDD1ZW ZN9AkK8jNjBH7D37TSnWKIevUWDOwZhYBqAMhPPwimdeJgROCFGSLzAMYIfG /BbQFHPdgca2GNZOxbbe8+j7Y1/REuWfaKfCQazksX2nY9QEYihxPoxTbMoG dz7mteBaEnYjyIY315MqgDs4VzCzNPJOW/EGPTApnj/5zUURLIdzL93BKh5Q xAa8BpIFv2tfr0FH7y+qLNhPLGbR5rucheinh4qT6HgHbpfttSzmyZYxXJ/8 7IwpVxsBXuGBAM5Q6PgbLoPftCpbbPmii80svA9hbMXME0EgIyzwRP2VOHhG ik7dZOGJbUj14ZTz5Df06NUQekn+MxAKdHpy8biMBTDFU15FaiLiVa2xG0oz QaptiaujjOSuzUYqoeK9g88gd28CBpIyjKotPnkdBYFMOCgdVKfVUh1Ux+IS QYw4Sgvd/uW3bCBgg25LbzrvFeCKlHt7zANXa5f4ncYswhD1whDbslrDadeQ JTSnSA+rMrs1HU+5th71ujRhyYWdaM8r/ekaCrzu87e1VRhjnOhnMfm1npoU DgICgCJn6GVLZ2qYX8oTrIVSe05n/CBKuP25ChRhmDlrX6/JapM/iYkd7dxi iDLsz/DIxbQiXWj/o+Xowm356dvbCxrbWvV8K3cgWuMOuLJG8EOJAQtjCvPz NhJgZRIEAUw2q9oz8R6A8xrB7LDHIk1R1SqLskCQ987k4n0o99LPvKwaemr3 SQIqm3SfwwrT4aYhNG3fZirb0Lm2fk7pxZuuPBMItjCAFnWxaaei625Pb/7c huq9eOrOZefP6fdQfcgi1o6MQ0FjeNvzDZS9XN1ek1OgdEYmUAfLsFnX6ZKW IADu3WCkep3LGZQGbVftMl0YI0OFBPQw4wNHzhIQ5jVSodyqDV1KUHSmYgT8 F7i1aFGn/wIznIIXm3/uphhJe/jgj/T4Xp357Dd3ToMSXG0DCrp3YLjG6ccw AGjsXti7PHlFg9Paw9jSM7nS+31tEMdk7lgzcIXy/gsqN76SMWpDKws0ZqTu eaKC8oRKaZ/YgU/85uqdMT4aHJWOrUYr06kEwT4+8kAxxj3qFxnzJsepby9x nnxaqVGE6Y0mxLaqcAs69uli/h+3a7xYrg/vnmcr3przGLx6YKT2gMUuaEMC WgCTrVgPCQC0aDuurDo3k7QbWWmIG3C78WpwvcTl5R7wFFax3wnyI1B+wKHB 1tYmQ+j4lJXeKXYIcHnmETl1+s93IerwPrr+VZR0qkTL3mtIJkPx1fUHVE8p zzmLtMR5CS9QoXNsrBRge9PnudrNhSMJoxMb/tY2q4Eg4GdCEQg/jqrYk5DT ZQTnjTXfKItkt7IZXUvML/7Gl2nP7M+3L7cT8c5RMRFypCeGDaHucCdvStkR B5+tfvWrH68zcB/jKjQNQYwpoYoQl9BzxC490HcKXVSe2KGHytDZ7EWVf1mC vweuoMTsNDepbm50K8PuKgsQ2GPadgN0DEzWlGhDZxZuZHjpsDNemi2spr1V RLJxHC3wf3rACgu8YHuChhEu6pk6jq4THLXqOMMdyvvP1XAU+9X9hp1/umQK Gz7bWI0+F7rIAiQk+9VvNqcv7iyr7mioMn36UibBxGdPVotXd6y7LE78OmI6 IdXE0vjTWz7PZUsqiJ6V95KE91Rx1AqLuNfXYnAAotxKGROj9HRfHqQpOvUM owPbh4u+ShQhIdOp2HDzwnDsesNCNCDB3wBn1NUrcNq4TJHjTtTEfC+PXnPM 6BOf5bd+hQYOrIlpRboxjRl73ySPQxyBAtFTkY35GtPZQm0YN4cfrKJ6sxdL r86dAHz61e3FeMEzai8BJtsrGw5fntkvn74ShfkI5Q5TEiiFtsGleT5xFkP3 Fxkr2AzfwvaLBwyQAdsE5iLsw+sFMLA07c9enxhgnpVjYP84IITbtJ9MqOuN MRKMwEwo1Uv5IaJFzt9cUL2/ckrOOtC25+uprmzL52J1G98aQybVh73JPNiY TRJCRIDr20PXswmlw4GwDhEvwgY/TRdUwBxdwMNs/eoOsryR/Nt/qUHvo4yR QJD3zicz3WEe34F1PS3e+BNeU4PLMckd4k8oHMTb4PKIH5EC8cBhMzEMHjPK HhqYYfIycOWpKIdRFjMfetknbXgOtOOqJFtn2G/xCUFWCKha8U5zmpu/o7rJ VToiyUmLrTtMpJVvgxLSaGpR+O7jyk7S75h9pB6N+lOjHhPs7JB6fRfSqrfa MdubhOCr3sedLkB4dRoP0cYAxHFNMJhm3EKbagAM/CpukU3a4dxrRAy0dZw+ SAJCgBTT1swMgS0DNCVJM4AGAMJ2KkdxzjlDYsjKt1uwh+QXPzLgx8tqQf6x 4RftyihuVosZJ46p5/xGQhCLgrBwFWMlvbNiF7XsNJHVTSAMJAVC+Btqp/D0 dTwYb4u2/azU6TCGG8Kt2MN4sz9xj+kqMMEBgZ8j+1ITTmcQfhIFi4IWTJ0w bEAVjBa8G4T60GZhnlSaVAJlXNtxLTFoI4MyE2ZEKAQw4/ocQamRb8p2coun fN6c1owIKb26/gSVmqAszkjzLkqJR3Y821a5SdWU/VGc7wVCg+trk67o1N0E lJlt5iejOfkT438IbMGY4pZaBMyj8ifxrcPwZPrXGa0ErwaXd2WPxS8c73Lh aI/pcEe/uqMvCXcAZnZwSMsCdClgyi2ySDvrNWUYjhHYAAaO2GCaIaSgXzZq TwysNVTQGhYYLvqwjYUhtp8zf0DfXf8xnb6rNBWYs86cKvDSRS4lzyA2hObX 07/R7RSkdHgHUsBtGGzl+rf6RTVOm+LmeTjXjN8w8mRxlY0vY0y/CO19vLIC CoMxMqR6P6Xqt9mcbbjuU4p1IoG1svO7uz9ri0r9Tvd9/rOYko7s4YDhGHBs PPxcWy8q7O8RTIeuAdMembbxbx3ohowjJAdqCqQIpFe8U0cRaxHVs/kUnAor l9kDab9LFeiuuOs0lkhax5hDuS61T5pY8lOeY3vxP+Xp96S8SnoK0oFHUpVd 1pe9OJ1UjaSOtu2WqJ8fQltzpakmHdRrwInIPnblFeoE3M9FgEWkobjm5u+m OqsabygoBcvPL1hfkTuAl2WAOadAd76EW6nuD8U/69iYNOGO1UpXbh+4OCYE Au8t/rde3nhUgfvXGE5LDLRhL2jhirHXp/sZetR8b/yttU3H0r72kxitgSDv U35Lzk2/Jb+rrNFitPzdWrxmWGyttbWcqugseb+husSaN2rzTO69j2PwlvfO 3PxNqX6fKcp4PONfHPUihNCEFqUiehFoHNhwpvDm+DJdeG6ZllZv3lCCIHYA YgD4m5s+5rFntXdO3F2SlrzfTLRrSBC79vUGDPBj95YmBMxVu/DZ7IVp+3OV 6WTOkrT/0YqENqK49Q8+s/M7qjziBHVrqlgoRaAKaxgWcM6Tv1ip8XqTgYi0 q9P/84xCOmyGtJa/W1c9XFX67Mly6uH2PKH6JjS0Wi8qP2Y5x1ox81kUtrPh lWrKZCrI6IYkqL3y0Ku4KQF+Ea4jZV7NiioKkzjBaaw9hr8B2u+vK01BwD2Q /FtyfrpwY1U69FAratF5oQ1Z5J2/hza91EMp2BYKF4x0Z2GeTpcED2KMRXHn eSwAeITixCZ6NIzgiBkLgK7EgJ15mveW7VEC3YwZAmUB1N7BPC6GuUft+KUL RDTxq6AEmP0cY9cdCl0OZxP62+j4eeUH0aIaw2PMcNxn/G+VG7tevcWBdP/R r6/UE5enC/3aMFYQp3rDL2w5Qqk9Z/PrXVimN20q3Em1ZH6I/pDtQ/r2BtlO 3/WxckFq0qyPm0rUV5PCppeqKf4oTl/fojo2ipYBB9HqodW6KlN3h/9sTh2t MqayZ4w2jJL348ugUFIhJoNl79W1UWqveZooI8B3PHZvSWEEQXrkq1sL84wE YHvFO40Z7TgW5q+T0Hz1m7UkaP5WHXv6kQfKMpGwha77ASq9Y6v9gvVsgnXw A/APE8Adlv5doeCQtIumwwmeuK2t3uC3NLZWCbm2HlRoK8nVOAzoT+Uoyrl6 nhr/oXn52vNMMbD75herGN4FreBUOVH2GKyySTd+OUM/Svkx25gbxpef/Dcq 2YEzVrzTT+lpLPn8aQxnhJgzUn7IVloJACoyDFVvajxzhBTqaKpuqyY3/SlL Ud089M1NBejE3SUIscdl77UkCeHzEsL2ZvTiqghPDas6TPVrW9ryQnPV5Zgg fPDh+kp48TeObXillbpMRyX+PRiugDHgzHRi57j9l1p1nElH76/LU0FBJ7iK tQD80omOzXlX1dNx+oihF7Cdt/aijobhUfBz8CgMo2AMxjr2OmsSxkvbdrOZ VbA9cuBsxphFhkYQ3/DceRRvAk5V9SELeLQLdWBWvFNPAQkqh0ki+uXtBRT5 VuChLYxKQ8R2PwVvXkloJm4TOvgwZlrUUbc6gq0Bv0WmNZeYoWbPsHQUdm6N wbNpQO3hPC4JQ3LfY5UZ1P8Up+x7rLxwSkiY5cwdMsPg61sKqXcvx4xFIVko ssfnr24tRGi/ME9LCoqHETNUqzZE2qoPOU43iREB6oCnYL5+ZcMF9hqShUnw tT1bx3UQ6jbVfXwvV62JHCsLrXqrcYz5sPfxigTm8Cx2GUKaH47D1Nj3WBkK rnoLy6Odfrce/dx2VAyTYIYfXHYex06vnlF6t6MLQd944RdracyoM+eLpW1X rjRWyPpXeyrdnqr0UytFzoOYLn7KUlxTRPTXlHyKEyvTS5sOs+/Qo9EoOndb OYJ1Eohym6RvbwDpFbDbgUcqcuAWUg8rxOZR/Zc6t5gks8AzMfSTUcB2/aut 1UtJY8qAFQIcgjKmFOvNUYRA+NppokHvmVRy4iovTTiGIlh0dK3JsuM82l9H HnKevKA8u3HMAYEg752ndnvmYqQnHFfgBJ1IAGMHA6H8Saz9JJkc2VBZqdWV gq3JRgVwv/fx0ux8BAH0QGhE5S7qxbYn2BWgC80EMD/QANtHCzb4ZgLhxczo H8QxkHKHeUDIAxpYa7DycouqPitHu56uwL7B8jwNeZBOxxYQWv9k5kaZMqQz eXMv3X7JHBI7OT8DhIHYBaz303cVs+7G7qeq0ZamI2ld/cFshHx+XxnrsoBE QDBw0gNR+f21r9dSwl1U3BJhjbCXNeB1wBsJ3Op6JvBY+JN4K2EED70swyIV XPARXCLUlYvrfr+DOA5mooIRwBmGL2A62KUIZdnzCIIM+x+toBBZShGjMrru L07fvlSdhCNCx+8pwRyBxgiPJkYTUS9NzG20cN+OYbvT1nRbP31ChSl/IE3e SxfYzt2GWfSNmC4ccVq+v+5jzkXG/FyUnDHL6G1SN/n1LZ8o2lCtItzW8dIG HlrtHaR8gDbgmZvAaJ/6Y1THVRcPJAvvI/iM6OL8vF2p7DiUuJmtGKw+CpSB Ko7fU4vznTJAFSFQBXoUs9fBeDLEyelFZowOYiNzRUMbX26gSKoMr2virs2Q AluhwJydVGTaVqWGVijvYQEPQfetN1phawa9s2IPjxlpffHGmkMK0EOEYhzZ 49g1UUwQgNajqCCWnc+g6EQeJhewxoZXqmhCic78pKk4IiRZsUjcWPRhI8Xk pdTDCLvserpshtjF49thJNkzszAJZRjgq5jt57aj6af5G2nHsxUZukE3++2Z nUckP0PPC0AoGn49R9mvnWGSkWqOq+BnT+YsrjRyEWXupLKLc27jfjo+a4Nh DWfNGw2VVVaVfRsdkwnPzd+EejcYYkf9ZNUs+T0YHmZkPHCzMAlClLBR0ALh TGYesUZC8IdwHPKEiSeOEIzVX4kTTBiraoMVNrxSn62KjS/D2mNSScaSZQgU mMBx6w6jaeXbKMlaShmepaWtXkoRBqu9ts4/wXm2LpE2870Ljxod7NfvadRj taWgQBAkFAhv7Lt15OQq039Y2mUFHVh0iHa+15ejEanq6t/cVI9+T6pKf0QL cKQUHHP6rhJsTGO2rymciNB6g95TlXRVUF2MnOx89GfkfQr+HfpAvdA/Ix+q 0z/iS1z8T34KCyMhim+fWofi31q1nw4+3EAYKRvvo5/fV0f588PYohhSfYSy ZnopVdNGLJiQS0t2aDAxWgp3bTaKaQkb6slyJEosmSSsrwY62vkM5sgX4xol +Dy4xgDPnNUI5pjWHLRCGVYDlf/aSVkVWI6rJkXOZsc9nsxZS12hMXVtNp5X bLP1Av7LZzErha+dm8QL5rnVKB4MRsI285MWHDsRRnIG1+jurs6jE/4Q70Td 8JVv11MdWIito+9zVaZfW49Qv8gsFYalZFgK10ho3R0dB4ARNLrCAEndjPI+ E2o1mNDKhSfK07fPVua/z2b/WCmsVko17OPhMbhM+pyImd8g6zylMb9gKCGx 3INsyO7wDvDnnb+ZB0FBM4uLdKRhtQdS/T4zZZ0n/XPwsHi0Qg/srK/YiY4M m+M1yDh5AJEkDMogzQ3XQ+hEsxay3Cxr3Sg20biyc9ltHl0BsXumpdCqt1or WkEpyTFKhy0iHbBFIAZyKtwle+TdZ5DBQpgsAw4CG21+sY5ZWW1Jhb60puFI sZIicsyutOb5GRCcXbA5PTLT+ayY0zuubCflTY+OycjGXBIek00vYewKZIZR 2I6tFtPCFku3BBwms9C2QTv6HVp69ItvT16kw9UmkPBYyoUb6zKP/df5SHHZ B4qnxI7CcuFP7zpi68bqxfR2P1VBSWBehYI86rT31Wm51R3/b1Dtnf8qLvvt jiJiWjmyP5WjGOVeutNr8jvt20xTpllLITLtZn31Ygs7JGSOgcTgpmHylXEq wQulJqxnopubvzsTIooKoD3MswwSXcRLdNimFu3Eou1JXcVH1oYh3rOrbiPz Nxmle5hr9IEPURGjmLbYuCQxJpuXnLhJ2Tg96LMnmzELZmYWjJzKUUt5PSPs 0BNIs0/9CRQV5oNRl1Hme0GOgcZMPgVWNfycJJnCttPJkaA/RHURZgRDYrSx 5MSlhiGbdxnrpoLKzyWbAampRVvT6UdLMzuCF7+7vQD9+GI12pqrAsPfMCxW e/b8pO/4Bow5OwMzReZwLn8X6x/VU34r6gW3Ij2BCzNIkJLzaem+lhhBsOaS hhzBWIkRYwhkCCoDQbpJdhFvAga+XlmgCYH/hPai+DHvEJmhP6ZPm9Pzm8t9 Oto8RieO8KckOTa16FyOiC7+oKVqxyQXWfJ+S2U3N1Aaqq7y05oqbTVMKbp1 pNO95hSYwmElIU/hRbgcGeRFToCEdQe/zxDb0ekb6IIiN+9C1lgQ284m0t0N n8ZYhmYBW29+UUBmbSVLSYgWHJqAV4ejZtlku8KFX2IMucQ4dPiODUyJQozO 7lF709b337QDEW5t3UW/vaGucjDLK6vuPWWWfaiczvzq9/rzomaBqFR0WPFO fQ7cAyU/ZMtDf4U/pP8+XJH+r/Fw+iv6roJAXuthHnmgpJsIqj3MCqNXqz7p KUFtbat9pbzLv/acpu9bTbY0iKWWejcYJ/M39IzRB46cUyIxhs/f8WxT0gyI UXH7yDckxIBO/zqDLPulqzq1lKI7aw2cy9NOA8ncLtqr4VBrCGADLSIywXOj na7NYCm1bzPWLgyJ77U0QGPPzd9aGNPB3iz+/SqKvXZSX1RR98g06Wx6qS0h CIbAWCBJuBHObka58Tk5BuwWnbqCV50KRGWhxrTGA7n6DnOkXCLZzLFACyw6 DW7EiFe1obPZ9MMovbbWkyCpuZdu5SH4sTXTaHqLwQSHt0ejflzczW9dWs19 MXUtsgqhweqzyVEknhu8VXFWI5ySaC6jOQ8D+3o+KzKAntt+MKZv/UbGwIF2 mrQeq4HiMGmfTbp/Srm2HiB3TeS/XRrQv+XN3A6EhaaO7PiOzn/xK83EGJtm u+FVpnO2JktaCu+TdjzbiJnObFgIYtl7I/jvpbm5NG6GGc6z3CHmQnpZCmbf ihqDYo416jHT9dT00D8e15yLjdntDlfW4lcXtpPx3HuKVhy1gJnPbGBAlG/k 1SR1uQCewxgHY7/ZP2//RitHbz6ftmHcPmUcMhNmOl1h0rzj9zf+e9fTqYqV KnPgEux35o6CvK4WzjTr3ekqoSlwi6R0cH76/aZC9OdjVeiXTB9weZENr1RX +rAbu1Q6zoXhLTiqIC6E5DVx/fJaa/qj5UQ6/04HM94fgjmH7KCJJftzDEyb 5LAAG/ReYF1dnR2AYcKMUh8cC0t92sEApcGLxUAMqDGriFSaIvdOLUfLMvfJ srr10Gp9eDoLG4PaAkeK+ayPMWqJ0DmTW3RhntYEO7DC6OXs1y7M00PZyhXV a1bclpUZLnz8ntqc9Y+r4ElhLwa0FYhkg4wynR4S9DKYXqI+BGvPLFEPxnNk wendT5VjcsMn2DpMbjkSA1GMxea49TZW1B8VU28DbWCycbaJFtAYf1ifG0Np eoIwyHR+3oZShvfyBY8umZnGNdf1/NOYci/Xm+tuI7sqgWZr5BFZzpJU3tDo Civp+MIjzFuzBx8znmiT7oc5axBWVyCLqMn1rzZVOqOuwkUf5aVu4ssszDNe ufIduGpUK1aWoxLnLL0qNsonGMsKGxYAhwWGoXW4pp7lwg094avbXGZCJG5E ZbxqziHJsv7VmoxuFARH4AFVBfY/WpbXFYBjilVLMXkMog+N17deP8IChZKU VueSAifXwFihD3+jRY1/UESots6nfktzehz9OS0QXTNxU9redlPGLv+41Q87 n6nCQUREkEtOXEZu3bufeI0xTymu8I5na3Oa46kc5Wjuxy3+zr3v1BfKJfov qX2m/6Nf7M+L15oVstwzdTzzzqq32nPgH9Tzyyut6I8biigTsQKvjAlOGlF5 KKc0cY1NeQYpUSCUhdOmFu3lP0P58jzF5d9hQ7Gu0yQF0jl/cxHlZFZl2QNJ YfUBxFnwPwaPWuh2oCbXWw2ER1TuyyMNIGrQztLcKIvx1a2VVPvP76urJKEu MVWliEm285lUdT9tuVCJed3IhoL3yrQVEvJCMC+j5KXHLqFGzIq+gSxipiGY h3ASxgPhBeEY6jdaH9VvGRyN8Bg7SzuTn41YxpVEFlUaaCuJwM6ySeBRl+3s 5GtPJRH7G1IwLFR9yEwbLfx41mq6PGnFzH6HEKNMNAxrmZYaMgNdWDQJq1vr h0Bqo6Up7QFOKzKDjt9XjRZVnWvMrTBSmTC92/wCm/TCVQ7+zjdvj6RN6lkL jxy4QCZQYlyEDPGVXVpFiKj45LW20BtsocnF27LNg7UAGrIrUJPrDaESeSDC +0xf3FmItj9XRbVrTBtfrkWf31ecszaWvdeAz13+bn0+hop63toPGWQfx8s+ gRDvIzuGrUo73GtB2sHuc/otrtLrRMHZa1mDRoyyPcb1TKXUh1TgAUutK592 aFvD4cs+azVh8slWswad6bBIEZrisohcvNQvNCHfrzTvqT9oN5hIj2WBTOAz IhcbGUSKP7isL5YGG60sU4wBSHp6KPfSPZZsMFiZEM+EXQGwPp222UEgNrwq trh6rhZcqBOEc/jBCiR8E4G7B4mF/fRp6a5sMGFtBHbxAhHUPcdMf/PTsG1A NQ4zTejYvbVp66vt6HyNUfTVo8pMFMq58GAqff90cyagww/WU9ZVfcK42MSS XeiFLfs5uAXkB903Vq/v0pgBzn+Ah4A0MI3HiHLAS6ZgjXlb4CVrbIlV5WDl cXs9v9yk592hbIqxprDBktrUZYau3sxGFOo8cK6O1jreOg/YmI7udd9O/M+C YvESi01RyjPIk6vZZuQkcg/VyRoW/ZjCdGgvzK3N9YhfYsCU7/Y+DmyFoCyQ hfiAZWo9cRIAMnX/sWHsxThWIKvOLXap/l6oRH6VMpxQJez0XeXYfBrNhIes qnzzzkkep13O8OglsY3NiriWFO7oPRaBsYaYh5kxgmsg+0JzKOw5HOawiL4M 4JAw/93r8p/1HW9236yJehn+2/hyDRkCAvMl8d7B523PV2NrLBDkY+FztxVU x6pwbScc4ZRSrhfnN0ymya74LzQ5juzChuzwf9cTP6a98jtt0HY+V3EA060t 2+3ojtSRi44NXdHv/LKDaQ5OCDi7By9P67f/W7lcCu/5Jx76iw55lC/nPj66 /4zdVr/ZwFqOKH8XXyMLI6KguSrDVyRoS3mMp/gxG3QKOpgNd4lvhZa/25T5 Ddv6V+tTJrGfwGtx67tx3ABizevAiE3l4G+cIWt2SbvBNUYQuI75Tuyr0DdF etJPR87RkbYz2M4Kiol1IXt1+vZ2jPx9wrlGeQiJeYVoxTu1YgCI2DrsCfOa sIKSoT2klF4j7eGyiJAxkQWFzlYUbEobq3WXY2E51qnlUHcQ1RaW+YkQUfOe m9pzUuJUqMfCwXEwwTi+L6ZWCM4iCjfCSYQppqdqoRkacEEBbXggtb76kMUx bwOPhwyTkZU6cfZWHZ520pAzXOFbYtTCMcR+kKYUayEv35GXX3HUPF/sB1vd EfYbULu/O4CklzD3sp9ZTg+hHzPp1tQdwt1CD2GpPax6YldNqks7nq1JR+8v Q99fhyjMJ7TvsbLUsdVIfgCh7yj0+pwCbWjdaw1421akI/18+AztajDUZpZh BAwDXYwPPfn8Pxf/tFNZwcV6pRKTtIoT4aP4zVvVkUhZ/qlhDOUZc4+JLSom H5JRV71V3zqV+PtUDrg55fnclW/XpSMPlJBzdJnMmApACRalS4cFnQN9FzED tv/yt7RAUI7BXrMeo5ybKfvfdPa932lZzR9pENhy5pIDaeumbU07MXI1s+iW UWv4WMtv/k4LZJXrlPuZxuI8j85n4MQ70ZjwZ+VGv2uEBlEOFCPGWKoX83hR oaJZ12mSYu6XHrMZKv49ZjyUVZ6dJPkdmXw1owZXV+3LZWf5k5agQw9VpJ3P 1JBYmXY5lxRuT8uKd5JjYTlWZfiCSxZQ6K0k8Wz2EhI/k3MjdoaF3oDKvY9X 1zZj9Os7q9EPFQfSNw9hwaB+6qeb0cmcFZUHUFhd4mx2pDcevb8Ip7YzZiOS hgbAm5FQDC6YlDimzAxl3kdBf4YqsW1T1Pfj0S8IdGksQdChTWfXsU3Eocw5 8Ghz+uw0LvQQBNPpxbxRS3B2wS46ec10GxLCesqzZ3IJDu4onh8MJq8kzLE+ H2SGHgkJmWGVQ7uMoY7Y4DMCo2bR45DLe7UGzuFwtpFLKAPLe7LQSgTRN1MB HVE4tIGnG5WlZPc+Xoa+veEDu52+qyBNKtFKbFU9UfXhgyepxmAsFtVROQrV FT2UYmsJqbzfv1Zf+U5I2S3HK81zFN4WBf2NPV/O3tesDyMSLAdi9J2a/6pX d3aKoThQ1UXFzReyF1R3I1YdvNXNL9aIKSIjxdEuiiGs53ZteaGqrYxh2sWU 10qQ6ir9RCPjqc7QnHySfd0fqd/9f9FRr8Xz2J+0z5wfyC7tMLpgf8NDG3GF 37iMhy1fZGtnHmEaw3eBZGk385M2vNwymzZ+o/vaGZaVSoTGMB1c5DjJ1CHB 12A3E1yDTwA2C7pu8Gvr9hL8WZAdCOvoxJX01Yb9McSGYD+EmntB3w2WtCw+ eQ0v5K3bZfUOk2KDwQbQrX6zNpPZsXurKkmuSD9mLU5f3FmZzZahysLKKpQ1 vkxbe6ohq+5NplCCPCUDn5y5gdi+4ZzVJdvy/5OLt2a0MSQyey2T+mzGBfwS k7ZqEFWzx+50NQySkkFT2Nq0n2JhZVxLfubMQlWgadwPXhgGUsOJURWkKiIL soKSjI2MGAS6DfSVyV212YYm9OBmTP03tbHtqpegRAgSphioKZAsx7zchGlV H/DiS/n4gfLOX8+2GB5katHmlHnZe5h+U7ffFPcnNCwxPxmzAeRTLA152121 H3QZuxhrSM8IM7lnxgJDfvHvy7fTzw3hNwgt/fBEOTqStykH2wx0YYXYGsk6 1xOVN+fla2qvhXUc0e4fYKiqP9GweIaCYWWPheUY4nRgKLQP3OUei/8N2OGW jbSxCNYBG/EoRVb3Me1rS6+Kx+WZxzHMwz6iNugkWD3aGyjiamOI6sLcxgZ7 Gm6ofJ1ceDpyqzow3ayu2ps2pg7lvzHuiO/YN9BpSEihNazWv84AboefF+HJ jBiNARY2ZCVjouyS9zsovu1j888Q/4FtkEVAZjO2NOsguJ+oaZRLGsj4t+Sh weq4zmUXDETypxw+X/Pz2Duc8OrYGoPYdBwc5ZEH1hrG9IIJ6l1Ym3qqu2vv FNRi6SZFvDo8Pd6WN6CHF925xeAYvw9U5Yd/0AlRIRjwDTiIP2V1zSdLOlpU 8KpQbwqbQX+nlsPi/cMIiAfp5obTgGikbyYJFx14pKTLRQ7vQ5teqsx2Ue6l WxSZNKGswkExITx9FxDG+Bd21Z7R5QAxkIT1pTieJjGoTLLu8HDLETtr9aYz yoMD02ClEQS1Ts9aS/v6z4xZFwGFKT2EEAGQDNfAPMLTw1TSp8TMBUiQa2Dl WF7JJIxT+Bea/p//pYvY4PDlEGqB8WNP18Yjfjqu7HQIT4D+BS5xl9ncyu9x hOybXWB82+lfupyhmco3uEZPfin68IOHv7BF40BmnvK4IBEkK2gBixiGgEAg x+nAI5WUuu1FQdBDIHzTN+5wEXoS0RHtTDgxqtiWlM34lMWP5FjMBBu/caKn jQD+wIEesEAgwgwQGlZ1EBse+eZtIzCE/mnYKNOKdBeycGTfvcnYS2T/5Y17 XLLQWa0rCzSiA30n0/I89XnKMI7hzdgwmAhW2Bh7ZmPyuPzw3yUEoleSNivK 4zD6EGQSyOaSi72Mp3rpyEqduQAkCkHqrkZcyRtpRxwJ3KFRAJsGLhizSFi4 BPVo4u2akzk/VkbK4RixgChkEU5p19aTk+g3Dv2QkdszvIIIVhIBl+jlzXGT kHQkHWNlwOKTV3I2Asb3hlfpyX/DW2BC1d6HoQtehU8Lp1mqgbnCr27nt5NZ 0I/ozt1/0wlpJvsX/qAtDX6k3tziDjfYfUWWCLoDlJbn9PViCvJmvnbasCsY u7QRNrSBDYMP7HXr6i0IxJcfs4batZ2u3Ov+5DARJI0tN5gP1Rq4lLOzjOUA gnMNjhAEYfWbNejE3UVo+3N1KMRnO14aMVYQLAKjXbGtVz77kWGzKeSyix0A SK862RWYpLbPV/Sky4uInDAJZOZ9pHeDUZzHZ2xBjJ5xsqUwBUglTo1EpTaZ i/Z1ynf7Zss+/t8wB1jCDq5p1EuSVlM+B6aJT4LAKok6wtKr4ZD4iDFHCHGc WyRj76x7DbdQbagncq2Tpdzl+KTM8vgy7cyFwjAtDGVgjVzvZCeZxrlEfCG9 Xi7Wzv2m26deznB2P1WWkesl1ic/O0pDqndjzRNIEfLAsYTJQw8k5pu3hRfa NetI8bTrh102iF8CwVj/CYGKu1pMBOf132lt9P/oD48MODAXTBw5cPtl2SAC lHurcoPGQF9amtGZhq0CKUICiP9Yj8ove+nSozAX40PuZsai9/bF4V7L/YxF cpWQO8hMrTRyCQ2qOVKhQ/Dct944xch7paK8Frh+dftyiYl1r8HDknYgkzjA hqAkYXWMaNCHMa+RgUgH9CU3yvrv4P2mdCjxZpcDrO+QTUA+oVRv5gBwQSCa DvD1vQDQ1k/QjwNVD6+KI82Z3XYAOgd1EkC5Hj/Cn/E//fraPbyOvLSQ/Yay 3ehspa70xZ2oUnDhxg95wtHHhKW8jEmAyDM6W/c7YsHxy5cwB5ifUxvW0rYD 9DpFweQQwpQwa2d/+VZt0rDH5D87C0ZLPlwQhGcBeGwbKnRQtD+LHGGABR81 sJPEfU/qutHtV4yv87JSQV4c3UERSFku53trG6Adlp/yLkJp09WxPeaym3XS /DKEZrds/0s/WJ8i6poPdsBH3wvGxHGcW9wm7Z79k3bEEUbYSxhwKDzV6jnu YNkimE55ck82Ji/SnQi7agbBZH3LIBKVjiKuYcKq2CBQmD+IfC7Mq1BtwiiQ gUIZ524rQltzNWDfQrNIBOYF7AnMdKk6bAX7HmCPSDrkkeQSlNV06XXJFVgi i8utNsJTOjHmgH/Rtt0kOV8zB9Z0NUFNzRyhMuOFyKT8irUa4G/YS97ukoKN 8l5+XkbMylUw+oF1DLLwIIwEIKKy+PUWGla1N3+P/NhvbstH391RwDCB8/l9 RSwT6PVQwoA6FiJBZ8qwUS8uS4pi87xoQxwNQOXrgUM0h+ewME8D2v1UGSo8 faXhuxDGzWHGTancmWEeFIj3TO1LGKjxvtirdoAWV8DZQjcqa7nDY8AxrDAH aGsEIsqGpd2lkaA8ZjLuG9eAaEndcwr+SrOtCaADKPgM0wBOQUA7Dl280cwk OYaIZej/6G8v82PhR2AVaEZnyovkuD36FVEFUxjdrOWBas6MCL9kqQENGreA 1inciAvDVGLFn2yGnqoxgLlkVpD3ztH7yzOQGaeZeB/q0nwyA/mjBbt4hd2o gPj5bccuEfkEAQvDEdlGbPwkBtjQYzxBsRP1qT+CE+W0uCEWYDGbxXX+7fQq rZ0RaxxTvp+0C2EvAYmwnUmlN08YMCaJF6lBQCki59qoweyxfY+VUi4S0nsw SoCaDYUVO1YUUCbJakQoO48ZpvPzpvLYdV3jGCAHxP625kAM9Np7sp7fX2QN ar/rKnsq3tm1m2Xl+AiMa6xlZuoZAW84FhFsvbDlcIaxBa0YH9mP0YJZXQwC c9wiWdqt+oM2n/kvfb33LzpisAXs3fxfOi/wkXMRIWjdYbzHfg5yhC4x2KT2 nByvB8MGNmgBawgudSBJWhj9J8CR/aaXGjN0xLMWnMC/Ljh7e4wagI9dv88i aact6jdXH7hGPIUwpQvZyVhsCV5iqYQgFTaQwjaxZE/JaNTT6iE2XjmAnoTF HBaIHV+4g/YMX+qBE4ySfm4F2Yh58F+4MJg3NhczlpXjsrccM++nabfJMmal EYHZ7NbMzST6DYt+melQ2KDQsIwFqz+t4mPc0kd8vi5P/AUxcQZJNoEKVtrE a4Lm0lqMF+TNKHwwi8XCxzN0b2NVWnsCEhY+YpSGDv5NxwAfbG1/pAER93Se HIMT9fgKQlg2JOP3NWgSx0KhNgM5SzpY0l4pvE37G55xGDOEgFFYtFv3Wq1L cLXmjZaMlUU14K8JXoAfW+BbezuIXwFv0iIdXOl2ILrKI3TaYHpZCFfFWthg Ddvc/M2JV/XUC8nHSHT2hEDowMUxIMTU1E78ij214YT0ogCkWTEUW975W9W9 tCXUgjOvF3oRIPWiDUjdaUJiQRepUJyeAudhEzYzGyej333ZZ7kkNVKrG6gu C0xZIcxZU6I1mYX6zDHoQriu7HXoXpLlvWJ819glBt5MDLDwBE0MKZCV92HM WjGJwwB02XFY6OLagYuRawvcoIs8q7uM36E+Y4qIVz+O/5XmQOfN+I2WGnsU NqU998XEEIqlfju0nito0eIrQwZuoJiJUsf+8DfmDooO5H3yrqcrW1RiO/hw ZUbZ7pGr6Lvj5wWZOibco9EEssNF+r5gQCK2xC1kCMopOtWzEG7I7aNxZXvw 8r1XX6Uw3ceFQxu/amizrhNc8tEpZfgMCxTtsQbb8Cpppr3yPLrwsQqjF7Im 1esPY+50wdnrMgRsqEILbEf2zbtMcz1Wj3cDwMMbRaFX1S5p1VuYmlOWzmYv q6zG9oS0Z7Q2qTcRd0gcP8M41jaBSSA0GBYzNySlXtZYEze9KgZat8hClrEw /GrVDg7pe4/BrLUevA5uuItZyvkM37cTgy1gCb3qDeosLpVGm9pOkGMartC5 1kTxiNOIyv1izuXwUcZgHcEosYE1NsASkWE98xbJwxg2QhadHm/mDDrrSb6U CHKDk0pg6ZzBNSYSVufmL/Q4sIEvDFTE4aT7siFtx4vs9RW70uHh82R4/hlB 8IFHqloXb1nDT2nfxA00s3h/i0q4e9a308NKiAZjjMjYtoxcnRv6weLtPBke xT6w4PY/AFopURUFIO857pbFAFgBZKjbQIq0RB0XTj9FGz3Y2L3JYHWdVI5Y AeQ2Ycfj2fldA0KD94PFO13whngfGVuuD3nDDkAevNEk/joFCzUCs2Y7dm8V GlhrCJml/8yCw0EgVGbJWyrQytNglxNjdLadWcASlqwBb7roFbOGi+/AEjYI NMoXkSEEhxmRWqpkob923A5S5Reo+nZhulj9GhSw7eo3h74/do4WFutqYzUA M8wUjtZ7FmJs0XlKzLnXANSwF6gAKfxLY+nZNUFdogpBt8IvhRGNrJCQm8mP +VF8+qs+b0FiOxGwMBBsNqjhd1YcMuIIDQv4cgcICpLw0oGEvq2G04IG/Tne ilhsoRnr2F8MuRAFBHnwVT8AxApV6rHBvNVjMriJlp1mMWox+Ou4nIqas1yh RyqbOSMr9XFfd4ILm2oUYxFTi2KZKOsArTCWEegJZHWP2RE6PcpnUIsNqGZV kmx6bDUPKXD6mt8FrW5yQWShK/pUeQZd6Zmdx3gxtUCKHNvwShOLVczjwtI7 Z+4or+6nnWBWL4yMv1FsAWUCUZMBZQHN0g5YBhHHMA8a7aLuLZhqjtq1j7gD s3qJZ43l9KCsQ17xK+nZ5MSLjHCeg+AXsjLMGIG+NLoV2/xPOtHK6gPJcVUq UMjEpEkCa/6a5gga+a26pgUSaPKCUqsLJCOjtBr3ev6EgObc9M1PFmRgF+zr 9F/peqVJrtJEYOiRA+fow0X7KATXFZPhzxEuId0rl4SgWVdDCzyKynPpLs8x IK3c2OVcKhX5e2253tsQQsL4a+v28YszEMSAiOuZfc/KUpD3j+GvYa+p8Vo0 DC1qNCQ0KIJDBodcBc1cQ1K8o5hBYXCIbVKJdnweiqib9Ce8nqHVuuloZyGl 1xS2HSBYijbADvG+pgxhVdRsGHYwO5+qBXJD0xqPVryQDmZDvI+iVoq9LhF7 d9A2wKauWeygtgrw7+3yGKc92YiB5LiypRxEQSzJOLDTfTzZEnbF5KC7aJ4B dbqo5gyGIChfu9UY/LF34Tc/TgsKnrJe3zkSeNL6M63xKD7GRrEmC6AZ3+K4 71VstTEN6MKHhcFrOAlPaSYagJ/yXQN0QwLdrs1mXYJHYLTSyPXKlkfnS7ue qdMV0W4Tt1brNYy5IQ2WR6GymM75m/HIKMskGIXBCv336P7TPK6BlqjqibVe BMcZM2Nhnsb7nvAh4wNfsu70QjFlM7s+qr2eTCznaU+IUWJD0htWIcB1U9XN oED1qRyf8OoOoE19aWCvT/1+OklAVovChEqDZ/BCKvNkO7futt90YI3TGoMX XhKkQsTYhnv19eDHQteKwSzttj/XIB6zIRwDroFJ1GG7TmCKlYXj3zBysbA2 pVTjFKjBFgZEOXikJUFGO3vHrE/JC1hfCZJ55Rim+WCklcel/ALxERdgGLPk T34DVKbKsHIV4wJEYe/sQ9SmYCpKNtL+pVsKlss7vJYY/OBWWviFeR8dWWkc PbfddWsAL8AMbmggK7dJgimbf64bHYN4wj5DjgdmxWRykdej0QhBXjbRcu3a fqpO3SzHohlGWhjRGYM0lLHjJLSo6fvv3CpRogaddZW606ER82OOIcpjE680 CSOLpUvzQZK8Jqkrmc/f/BHXwcUCbIAVcmAu/ud9wrj7wFq9GEaA0+YXq3Ib KSautFMNF3VhQV3DXp7JQX6LNYooRGBxGtR5hz495Vgb9ZgVY+jGgM3hffjE 3ZVoQikp2o8eQmnswPWCOOOc8uZZ0tQiSZZ4CiP/B3UjIYHGkjXLnWJ9ySui LLt7XXtMEjZDSIhGfgP+R477nT7fkI7PXUvE1sZoPDwHrWYLxOhqB5jOa29d z5s32VL4DiCNuLVkcIiHEF9ODJrQeBaaUdF4sFfLjN8sx/4jx6oPESeZoxs6 1QoTQqzG0b/x4uZDjDnGXVbeh4FFE/zG9x4rNjaVLsFFj3Xo0UAUMEO2th5F R0jHqyeXf9ySgE4NStirFpQeUcFLFAtM9qjzOqJyJwFqGHtZ9Szpx6zv0p+R 1+mv8Gu8AamlP13EOnJGoRYUSQedEcFoTP3OK4mwJmfEbw0aYafyS9PtYata OGodua7JGDrdZqIXjg7iQi076TiwVl7GN2VQZhVoxuSx6d8wy44w8DLLCmeA IpQkZjoCinqdJfs4+C+9BSN1CBNaxK5lz2uG61RkFCWIF1x4U2Y6SiAoVVG8 xaDSfXfpCX0dn+249qqgizUjOgyaXmaUN1YvQZBnanrzSS8khrwnPzsTrxTD UIpmoBMKsWk3JYI3CAKBVGgNj8bgrI24vG12mtCuRecx9GnpNrT+1aooFXMT hPH0XZ/QgZdr0RpMSY8KAjEMAh/Sc41YWzYk7WLWrssQUhlzVhl6sukwqAlF igXlhxAmrY3gY/xqs7sCY0qpaxUQ/vL2fEpJvq/kPA8deQCVGspbZQrl+Uum ty08/4i+Tj9ke5fbTyzZmjAtB4lkW16oyOsMaWUK3RoPV54C4h+u6vY/ZThC kZoJwdCaWG8PcFtUuhcdfr+NDf9guGXb8w3ErI24PYDwzvTCmFIg0GSX1PyW tn3MK/FozQh0gZUKkkLOcBvDPiGqU31gAlqt9JS5rb9YcXrThTu0HuP6k9Ys loLemBsd0NMYkWaMdCbOIPW7lmwGEBuCOgU1gbqB1qwC1piirbkSA+vra49e 4kACnDYzwHHbAcTc4jppByvXAjckegTOIyQQZ8GqBVhFu6AMCpbR/JA3lG+C WP6ppPS3FyrRrqerWEDCuURQiN991FW/cC69Add/ALiApVWWT8gxBGril6Bf 8U5tBhg2OIVqHzp320fqtsswOP+IvkFBoDEQ/j3pDaUyc6un/ID2PFFarzMh 94O3NadAI477wCgWjauszEqXGLoIA9m7TczQZZwyRt0XwwlIPVNH0qq3mvMG vMJaTTZs9TMbsgxLvY4BtO0utpk72mOI/NhCYTqxKKZ+HpGYa/rFbVcwXlOi TYwbiZUhTFaYCVB4w7kmAgSoXxHPOgkJNGCKN4iV+ZQLVgtqUcNhgNXUz8Ec AcwECmQRICNj1F7cb+jNL5BvN/d00SUfqYATQS1ErzWPMSrMAc/iFsj5R/Ct B0TNQIr3MYF3BIi4RUTazawynj6bso3m1p1iFDkHjdDfPEE64iprYB7YD0RF Sx1+sKjFOrbvc35M391ZkP/+7MlKjGPgHFlEkCedNYNZ+9DbxtJmoy1DCUax NRb0WmnwMSy0dfADrGShHeR9pu9u/YhOvo+VjirQrylvsZ79NeVNxvWxewvR 2tdr8DU460MYktc5wJtY+XZNxjd0L4C9rlI35TjPo5DgOmZy0eWnuqSL60oj l7nn6lmJGC4BNAFMEGZmF+5GLePrRaV70jL1t+Ou0WRVW5IrAkg98d5ZzAvT C1d9s2U/HejrciSiQtBKugSizLHtYr+GwF9uYEaDX4ouzZeKKiHec/E8ZNOz SxFx26HIiLeOaIwX/Hg6uA+7yhzTMZFzbKYI83ThuHv5h/Ee8eIdG0gOYqMf CbaI8ZIDKfJImDWQQbxHEFXyDppCZyNKpd8+/mzdYUGMul/bYyldPHGBto1Y b46FcFqOU9/ypQF10e4RIBw6zPwqZB7BHgG9s+PZcnTmjgKi4B3Z73q6PCHF gaVNO7ZQ3BitAcIx3pogwF+7LJgzY5VaANQA+vRdBeiYkqTz63bTxpdlNSas 0wvFvP7VauSks3SlKNtMsAgxR8NMx2rfZjg1HzCDRqRNorn5m3GlLOQz8RRh v8pCBzkBWgNYM/oPfxfjolwDOsj72HCSHoW7/+hXCgTDeEQaA9g6/AKc2ChT 0I3XwsVlZSsCEvauhofo02VtfsfFnC1YmSwCChmG0ckz2GzYfJdb4zck7WKS DR8393k63tCOQCfbCjoktYhgYOuSIFw1KlGYviPH4J7kna+zxx9MCLphPJ6B LZxlnrGo20M6QFkcuNORrfUVO9Ph4XNi6MnkiPGWmCMdhsNscNxP6WAe1Mni AhljtN4x2yUtZtOUMqO8uj5sz9PXRmgrXSdbixFmGMK5FryLTb/utWq06SXM QKvGx1n3X2fer0AZ048SVdQax5BISKpXcrFg2C4FOM/S8w5Ktax7rarcmsyY Ci/4qKFi9GbcNcYMDKQH6pDRoHPdR/CbCKFBG5NsmEO6CFN9MVnPJHZ5Mkoc U4ObP+kSbAZ9+O5ySjHoAs8CKotbKdaUHzNF/tMDGQxcCzJPien4XEkoRDtJ NlM6RnAG0IYSs6i+nSDaeLI/nshkMejUObxB9CR8f1SNBMgM4NDUOhJ+UwP1 FDwMyQAiGC1N+fVPk28NIwi5DVCSRkFi5AZYRDMTjPJqBhQsi5/7b2qaaUF1 zGReb5ArpkyM/n0wPnxd/pRgEoOsAxMx6zIb3QhbDTabwCIZUPNmcEHO4Knj M947H9dFKxApNpfB3/oBgR4mEnzymwmYXuU1PTwBhwLTXL3TDqDmbDsduMGT 4XYvq7M0dCAr1seSiGYY9qQhO5mK1MwWarbpCC6EwtBHBkJmsQnzXKbUDNuS Oli0pkovOjhy4SUBpLg1Iq/+njyF5e0xke0wTARTwB7ra/C6G/cnBDNOvwBu 2G7WQmcSo5hKEsvS4/ETOIUMDu2n4G9EdfmYfm4EgizzerANcxKKaFX+VJ4K awADUxNDodwyPSq5AhDecBULpBarYcSbRFzHMIsR58VWws2jxiS7+o3Ce9YP ssd0lBcZwRBxdrBkxlpocI1RnNiE2W1IjrKrp/xKyFCURunM+PabOK/RYBSG 18WAy2HdDM/aQECJ13xJBxkhKA0zxxoo0RUPcDrGOGCt4eulhdoRQOGks8KB 3/VOdTsMw9ihJcECr+5ssIANRc9x7L7E4GDFHp8KJCb60AnWttJpDoi82+Jx rPRljpxjnz3D8hyS2Qoz+XEB/f+44mtDwH7nOntGq5D9wXenWRZTTyCanjnM DhwOiC/n7zluOztZTE/CjKlylqCc4h5MOpTR8Pv7TaVjxuBxXO8DMs0w0/Mk vCF9bByY0UWMjNfvme8YQagewoqUMbA0KojgmF+ka8EEa2AoHwrFGCBewTTL tX0y0zNTR/cwZlTjOCr1B4JcjTHJCDI+YQIZPBeTu4feT6/6y7XEKLQgxwRw tSDbUiPY0tMJVzVEwhAWLM1p3gY/ifYRYkaK/dYx1gsPQ2jx5iEswK4OA2M1 bDt5OJvII+gVMonvzITimAmNfmVUV4qDzBmONPXMd3ccQ0GXVq1o6tqXUm9N FuuCIaulEtJnfd4cPu9CXjZTrTHLsGHEAujR/iXWfbASGBIJBG9Y0yvoSiAs dV47QpaRdlCgYNVbqVwfOt1iQ9cibulVI7qCGOlpejHV7vWtYwUg3LZ3hTGb W3w5hr28SIWlQpm8TfAL670bXZ6zcnVdbE0HfIdpedFrEC1dxhOUhYEABFvM mru4Dd0JRozYq/WUZ7OXSUyG2JaOi+w6iB/FBQTYRjOr2WJMlnMApX0IXga0 B76DXf5AOvIny8SFhlYbwjUk8F2vhmMos3yJyQEnc5air2/5hNa80YR4afIs //+KnVRGC6F7wc9YNQp3LFIWBqGBngEofM3ldvW7go2DuJXpF15kSq+TZ+cv JC6djlc6TV/FBJbCroygL3gNQF6fHdPG57uz+DV6YHBaic4qoosoRnyZBegF w6pGw8dMOvUr4tnd+8PYNX8qmJi8Qr7sOxBXNgqkWv+fZOARESCoZJQvRsuY nAG93BTUaryAok/R5egzLCCWiQ9HV77dgs5mL8ICim3DK43ka3Sx3wDS8+a1 r3PN2Of/HeHVkgWo4Yn4IYTak2BYwKgwpVywkNTCPM1oQqnONLDWUL1a9jUJ qkx1je2kmHw/klpY8MDYAU+WQXYY+CZcB/cHwmgEDnMsrbDqAlhNus+7pHYB AgbWbHWuQVi1ZxDjxfn1DOyCh59fkkKA57N5Pllcb9QK5z3mHW64ZOHNhXk6 KK3cTKka1B3kXKLQoJp9lE3RjCUSNBqVpqgtaoQVVYnU3tmaqx5fjns+QaHF dDoMd+RZuOlfE1qtNzCbM35pdzDvuLLdaePLdejL24vTuduKcyU0zaox6ykk KKze4JaJMUMQoe2g2QJZ5RhP3FFnoDiG8cc3dJvL0/ZXtZhiBTW9afveib9m gjD8qISF0q+uS08ABYhhb9qFFHAfYp8xRptIJnfUK4gQsIMPV6Kj95emFe80 4AwyTI7amqu66paidPqukgQpm5+3oxVa/I16WCyDIZFESCe6lD2OxCQxjOnI JkvGTE02y3n/0xKpg2regFsgmygKmJ2TSnTmNfmOPFCOgl/dWoQwzlk7HrZR s0o33jZyTRBalyWAWjOoFQE6vRoOZibG9wG/6dpagqHb43sZTpFRMqBj1oXS yyFz3HjuWiBRe2Ln0BU0t8IQy5wQWjuLXYfMMQHPMDH+vuPfkV3gL97aQXzD RlB0/AGECrx6MgQdrzWg5Ths1r1D1hNU+b7HKpi1r5OXvJ/K6ShGxe9/tIqy Q5vx54v3lKQfHylnZXfda6nWGU9QdiOYtuCdFGgm6OpTYIybUhqBIO8dEK5Z 9MnQxB1nfqbX1p2N0Xv/kujHrP8sZOzAFEbgaVjVXjyshAj6lhdqMTEDBZ/f V4GZwjAA5vF0aD2arYxAisg7rA1b2dsv+2l5j0nX1pLBQVvTLui+TrCbRzKi wIF3qAzmAyZ0I7KlmTkEswOCjxltGMnT4XFYEWiAGeSBf0foYxxQ3CrHp3WU CZYIoM5QdtwB0iPD5sTk1aGNva5YEyEj/HCyQNYyVy667L2GtOWFGsqAaMVf b3oplb7KUZwu3IllOkXeT99VjNq0HyeX8+uTaQsBiRE2o1Hm2zkzCrV0S13b NXwOE7CB2T+BqLSDtYFjXLpCF6F7bvt56l9nDeWdf8L/SErGBB+WPUxlb/wO Cwxv6z1PjomdHIZHizCEOX90he6G1NXrbUzH7i3DoIDFAko5laM07Xq6Gi90 AiCUH+MRXL9FCHW4wgsEGxz3DDubBI8rSUuMytc2rylv7z32D0t6yKTtwP53 S69EzGCNYfSVBZoQbju9u9VuHOhIloFubeqZZMMEzxXv1OeJMci8N9Y1vBrE uro1HacIvxobLTBmtj9Xldti5rfveJcWcm/FhYCk94UwKRW/iTS/seU6U5Z0 sv4k3BmCLA+pvoq3ItOO+l4sNGPGNSIrZs1sw8+7hiyh7499RctqDbeBQog+ /GO20DRKwdkQWhFc4f2luZsx14tmbcGrASOvrhnFxaX8lpHUwV3jIsE1Al9r 8UAIwzslwIiH1gI2CI/G17tAtlfXgX3ka9hj/5LtDSk2wq1FKgKAwhoDcBGh wN94OukcDj5A4ULfY0qznsq1NG9T+qybgnrepray1tZclTm/bkKpDtxcD4Bg VomZEIaNfcQMyDNmOmNitJ7lHAIZQ6ZB1Mh4yybybHkcm1aTyb/9rezyz1ie A0HeO2XHeewxv5OkMxTyiMC5NbyNbU6RHrSi/iizKDzo2so1m04hFtYQjPEC czZog3mDjvMpr2+BMnJni8xnFrmeVqSda4UmRtk8n8UMWLgpyhc5FYPjdUGJ 18HStXaKHuEDOXF9RPdxr/67T6eDAr85Mp7kVFulXuZfhm0hYJJyGJg7rGUz CbMQfzx6htYo4sORPU+UVWqvACEvFGpJr8JjTjNympiYRkGrmM2EBGvQPSQS ould0Aa9JPUBVL+lx8G6nAMM6k4tN4nMOrKvNHL/vy6zD8mF0DmIegD/IGcI KbSaCSzzL2lHEfaFrdSlV4oxkXZe3ZakcCQHoOUUWyIoA/IK+9mGpkTmQqY8 ivG+H/B5ST0dAy4uz5tyxcm3KMYMn+uAAGBipu9j4+pGIQOt71ine8TTwVRz KIoNr1Sxq1HEJDjo34fhifO4oKFf4dTpTXjlcVOHIxBYzARA8vE3N31EvRr2 5zZhlwVktr1rRnDxuVdlCfP9j1al4KGH1D1Hdj5Tj1p03kgFZx9nU/iRAxcJ tJvZ/Pg5tpJZjkMizQ167/7XpfkF0x/fWTNhQO1+Ij76ISGpGDLxSi8G9ox7 iG1NlZ6cQqUFHsTMURE0TtBTjAne2gJZbsUDWyDLb/aUHnFDBAf5LJyS/IrP cz0pw/GQwLQZqb1ch20qrO86pVgLXk0OLiHuUXcaSrOY9Rn1mouxKa7JrvRy rTB88uu2aelt3WEc9W4wUEY3tPTCbdvxbEWW3J3PlOMkLiT/ieERhQ2Ctwm5 hcR+fl85uvByKv3YfqK64Bd3ViAUcccizTNj5LJtu61UcuJhFmHjuoT/+l8+ xi0i/+/kV+cfoIqznX0twaOQkWmE6fBW9J3yOKU5XU8AwqkY1e/W6VNaXrOv HVuBFYHv/EYOJJc24hVXb1HyqNvNKAuHknF6SIAr4CB4xGEjv5lAOt8RD9eq 46c235ElXM+ItFEvbH5TZPQxWMPWMtfXg1SblY31molhoMCQMZJnseyoRkSs mKe4z2+PJZbJHereZCgt+rAJjSnflaMM+pVChHc+U5FnTpscXeRzxU1Ez4yh SNwi1nX6/L7S9P11+enXlNz0+0356Y/Hy9PvSe/SL5k+oJM5K6lem0bJIsnd m2xg4r7hW7dQwa1f/UJAAreIusj4fyTxWFXDrjx+t3mx55i9ma6eSUhmHfBO fPkm+DNFp67yMj9PAoERwbXUkt1iMrY2sN9VvHSMAsILVcELQYXYxuBFoXCM 5wFG3WczS8CYvHhO4jXX03VQMO2Q6xLik98EZ33MxGY4JU8L/OAa3eOX8XZA 88gyRfIrVrHAsY8WbHDv5baEhDoM3oZQY5tToKUEWbX2RV/CFG7dYbSR7JQV 79TiWR3L361tF8gwybi8/NQr1ZXxXoqcM3eU5NnOxejrW4rwdjZ7cfr/2HvP ACmKLWx4vumZ2V2CmHPOmEBQcpSg5Jyj5CwIkmHJGSRHyWlhQTISJQhIzlmS ZCSoqNer3nvP1885VdU9ywA9sNzwvu+P7p2uqe7prXpOPnXKz83Wmjx9jRPD J0APQIGGYq3VEYV/6Nn/HlwHsKOF3hMKn5+XroCCsYeihDbgmbQ0J8o56D1Y dElAtCVZ9eFZawGjQUYiQzLOWfyEXHOGseIa2PEGfZx1zWpfLhRawApuXuTp lSlKW5hPEaYoq1BvOi+WBL8hrF5wb4cNJo093NQulWE7KEcHZQt8WUMZW3Rh C0Uo80mqwAV12GRYkwF06PXydPqZ4vZ4XH74Q/v1vnu5PGErhO9eLmurL9Xp 67yNGM4pI+A2VnA7qMV6Srf7MsHZDLC6+HbUuC3qMCbTFim6d1ssh7DFqXtD ROzUgseqFdMYEygu+uAxyh8dtsGGk5S9DMD4gR4hScfT4PhpxdBzZVSoV+C9 DnUb8f8TeXnG4w4X1oWq9NJ7qB6wB/BX19UIU5jFYg6iRgHQrQ9WTaLj0FxG xJ0+qT3oQl0xYZWbiEzhJBCI+HHESwPvCC8JVELIvWWrez/kjfV7S5uiDAgD kwZkzNWrzHjd9yYbBVl8jhlbt79Rb6H1NBmGssadbcqpqKkmFjUtNmZraO79 Oi9qJJbiSm0XHyurqWd3upYO9YjaEgPX330//2FeGco81B1IAKEwrw5uRTtw xtUav+ouaMfsa+ze609vKOoefiASdIZtxHwhpx/u56ouXit9MkEFb163EtxK SxJdtzKMpJQRV2PSN5R77aGwe2/744q8tILjIq8ActzBxLEnHhb8hYTCwmok qMU7WIGGwpGyAlnOsk/kT2E/jQoDuviArg4SZih4rYSj2sIK/kjUJwQ3ue5X bvY6qjt2EbvPVW4fbjH+SfXfQyRpdUtT0s7OY+jHgydkV3LXrqrGrpBX4D2a NQVjUZ/XCJgiOmhdhugCQnogOtmh0oiy0LGXyhLITR8QVcsLfkpBuWXnu7Vt cyI/05svhRDc0kIjHIILOnIJokoYo7wC7IkOPba6LOjoiC6gk350vngkozVK urP4HMKWfHqvdkARehn23VQ7eSMHxkjL1zRXvOa4PL3as0yCKoACwWZyKFy6 MOwR9y4IUOCSeO0CkGrtei2iWeWHMyl6rdWhcKiX1bqX1qKNd6V0UTV+VnuV VI2acLJ0FShGQQ8uzxwr5dJhoqDcq65EqbgZqBXdpFOE6nd3Q5mSKBeEexg5 CvBrXn64MB14o7JJwoGP1STiPO78mw1GzRWzXkgwgO2/cQ3THxaIWVE4lymQ l8dGRYJCQLGgw3Kz15j/F8ssQIf4FnsL+lnWWbvS13TINSS0d+j1enT0lQZ0 7KXa9msy7cVcyNWSfuo2jXB15pkqdP6Favx59QcDjZcKQg7CDs5Y/X4QgIjr ummWbX/9zl4RJaRp8phwIAudmW2UG90p+sQ+uYY+A84u2uBUoElfGmljeajv Va5SaGkIhHHMzOsmpVJWPwi614qm2bjSVKC6ziEbt8c+rOis36m5nqR0TfD5 k5dpeOPJTKs4Sszf4X14FUL1skb3At7VVXvTygrdw4gTxpj5fcVTQNRGoxW/ QsAwLiLmLa5NPgxxSv27IOgYiq0Wn6BzX4wQbtjGrFESrq6q4BKpARCurpaw sFhbEENh+8sTL5SlVfmaStc4JxnWPFKF58XckHgLlFj1X0FXBRnzlVdffVqH NSS19uDMMEqaWnIvMb2lSh/9kLa+X9d+Ve5vM57PaGbFCTSm3kpaXGSMzZba 09nXaxFoF7T6W+Z69Pein9G6OtMNzSI2bejR7HFzyYmgWHdBsyo2EFbMU+UC uOkYBxJK4U9m9hfg9HtOPDX3RVote3sa79t6TFIZHISQ1d5MYBhyWtN6mNCR DJsAaFxHZyCvoyN3dp5rUndqU8VJSYdtbFbOr9qdi9eiG0xOuK/dO3hn23jU VlhHMVX7/HwOlpvtcpASj0Nke1MZTXDKJ6mGEXNu7W46Mfcb0w53ClwvLo7E Dn29mhmHXogGY61L/FhybYunzVFfGqFabJaAIrQsrRUlmw0ToqfkkJuSdfIU tFe1LLFj92m0IXtTOv1MaZbGZ58qYV/XJ0XIc0tjf8Ut4h7189nKtW6vs+W5 8o9hOxLzyyYbd/sN6IcugppObrh5pPYQBlhTOw7t11EgTyzb1ibifm7D1VpX p5/asd1pw20Qtq37bleE6p9dDvb5sWlb6OLxn2hG/GZDwaBoQ+2uyD8cPu5s FbTdKaWDtGBRM3hV0Bih/KRLgatOdSWyqT1dkFOLNAAo3UhhUStxkBGA1cG8 yCESpd/eeTS88eAw5xGc/blt6Cu5JZrRAOERKR09wOjCLzosWi8XUom/vGtw Up5z28HiZDA/HqeYv45WskRVK2aRng4DOL7LPKZ9S8i+R4dEbgL5v7/1uGTy mMjhP6jOuLXCJgLSH4/wxCZEXsWBvN2289c26UMBGNZkKFf/YMYpLCwGn9GO fhD+WOOPihXsWk+jqWmJwxekCHUQkl37l2S7zNVsGoE/mM0fbs0fwvbxlef8 adKIdfake3m0gklMnzbj7PdtzwdsTOTPXHq0KO1KX8Oo9WvyNKLd6ZC1U4a/ W58TOwHjDmQ/dbNZ5AIp/6nsQkyb2Q1bBZtRwxEloVBn2bPVltaRGJozAGCK E2smhK+12wpdVpTuROAOwhTYVeoemQ+XnWJp7gqsIXuelXQxq4LuBCAcrx75 0XtmvUptDFvLruLGWvriLwZJjY1ek+damh0ylVzUI0Du4BypncQ1E26OxJRu ywWCUOk1BwC5u0NiQA/CgCB7pSbYDLe/YrhGdbBgvhuVVoXn8BykMSM4jjqL SKdDmhJYBVQHfB90uiKq6Eoh5ZIgd8ZB5HkIejPfEN+whQQwo8Woe2G5a8vA l5LPVqv+S9mid6e4oo4HGIywDjk3GrEqDE43ZSBPO+9kqrm7klDBKOK7jCeJ vCnugE2FDHdQ7jMU6dwUP13aQk5tbGO8u3blNOXtrai4Rygp90D+AMK/PE8q m9ZUBHF+M6Wbe+BY9mEbXjlz/okStsVcgTbV6E7fD5lFx18sZ4sIMSrAYcBB mH/ECheZVzKe63DyU1U6O7RdvcsoDuaQars0VHDX22O27zkz4m4ntzAu4P0B c2B/gCr+gX+33piFhDQAHPjsQDUW7AFsAvY8sk8QzkSyFWwDaBBSbiKAj5pz IIklKqbh56rw4RGO52Qw3Ho7CJeJTrlGsHQuycJlC+YD1iGAT/gekG/0wrMw 5IZuxycCmk/APeCEmEJ4S3ju9NcrSncmsAjLcZQbTfJ+B/YgbyZ0yUYMgUuY lT/2gWmAIyF419zAGBp6p4z0+i0cF54vjRD1hI/HsXKB9T/QInDti4mS4FWq BKQ+LF+UQJVUEeQNJ3ByCO+g5Upe7N5xNIfbdWJJWH0vJR3gyzM8QbZEtPZP WMkbgC6u2Nc480D78CPwXa4NQI07Xt3Le5nfnifEJOUJOs+T0zEUzwFnMHxB /V8TPu5v+AHcI6DvmRW70UibMe+sEG+/x/EXyxPCRbVtzai19Esp/V4/dNp5 t0cdnmh2KlabsIUVeVcaEIpG6wrROG662fVtGINRYVVeNLznsAmQuBClEmA2 zR3RaCBrXWJShdyiF4f2gsus3Q8agNYCosdx+LWP6ftnq9gctZb9uTZtydTC rLKATqBrnIDAQfj3C71zBZeo6d3StO6yWWJ0ZSSEmfFG+IsX5j4POHgGNTPh quVMWBMoNfPassaINiR33iFJB8H23PtTcYpSOk0nS42rz3e/6Pyg4wIr9rF1 gM+KpGEweCJp4b7h9U9jhVRRxxFkzcFeV3XOUQ36uPc+CK/EqZw9biNA1+H+ utkYXYcbfgIjuU1E/y9qpsru4+AQ3M1D3DfYA8hAUc7SkDtrQq/5dlnbYQTs d9R8LnaIHuq/hcBGO/dILf0QjzM/q/Y3wKtjDyks/IRAlw2LA6BpWAnY2w3+ TGX2ajdCp27T6ZscrShw4XFkGp1+prrdeyKVmfMN71CgAIzeIHT3lp/YHM28 Q6RqmbdgAGGpGSobHdaACal5TfVQgHWvBjNLHRWq3FxAKdQx8L253wFmOYgN HEL75M88XdEkXaGYAxaan3+ivI3QPuIeVdorzAd4ClyLdYNwJNwBTwDNG7VE JfhLzWa1/iu1rP8C/WvvJv4yrStRbpL8o6d75stJUwg5x1X3k3ePwztBPsFh CEcijAGkFOIaWziyfH1Gw3ycwy9EDwiBh5gSIiTrgaErhKLkG6pcGtQAXQ/W l8rJHUVGHXb103slIIvb3KtMAZCE7ITliG5UB0dIgB3Bqh8YAb7lDeeiYAiS HCxpPYieQFuC+99Zg6Dc+sd49LZkaky2yK5HcFnFU/pdx8LoAXTYYtCcMGEO pd7UKlc8AzkE2E2VWUAKPseAEcDJiEVElWasYcV+RYF2dOylWvYIMfmHvs7b xgh2uBHQD0qAeiwKTesdIvSGMbfd+fduVvUpXE7iNU3hK5oRrjL9FFPDKGLv FrADpFyqbR+gFqCZFykpdQ/OuKRROCjTEHUchYtBW4DJPnjqucr0dd5PjRcP uV56SjCc2jTwpbobEyCcK76qZ/w6l6xwKfPhy/jVa8DkN/38TnmLO2UFGIck aWmWWbjhQho4LVgARw7jnM1gzfZWKiAVpjakFl/AmHoTnKItZi+ao6RZhk85 H/u2TrhxOCPxA8VykIaShB8EoUfoTFv8HV+ru9kbiYuE6meo9AfQudnG5+Zp 9zfQO6ejqhRVjInZTdqUR7jGywm5H4+r9cMjpe0HHXm1Oi0v2JIHHFoEp06o QYFeiDCDW1VYW3cQHfxiqbRZDivIuP1o2A+6tzz3peJzcFHRLraGW9fWdGvT huwt6fwTVRBrf1ySM1s7ey0qUd9oxCJn39PQf4juZVFsyA1CgAxyByI/pXTq 0WGsg1GeN0kpCyKcri1l6Ngs6vk7S2T74ddq2j/UOixfDS78JEyGV1PB3ncv 5l7bdiptH7YkrOojF6DT90ZKI7t9dX4QuZH9iqi/Kt6Bjs1aQ187JQ94tRZ8 ga5Nu1iHhz9Q388lErzGENX4I1CYJO86oO0BfAeTP7Wz0sAsTFaxP/j1jP9P aNlKrDyKjq/cT1tGrtK+PlYRYDqwT1C9zpPnfqTPm08Liz3iWZ74gNILQPOG D8QJrUMfwEYEnD1tNib8k20Md334sBrUr2vx5ymIeANPwDCpok0cO8PUcM0D SVYMgOzBBHDsfbuWzmEM07xUlUMIeigAoPTlZboSuICm/jH1Pidj2SvAob+h /tR8DqFo2dmnqtKmrC2YoqH+n36mGokOYK3L1cphALLbWxC6vtYxYBrwVuNB Z8e4e80IIMyTVHtgaYTNi/nqPmnDUmQjRXmGAo4H3WwCaumx+YF0Mo4yDAKr 8rU0Sv+BN2ohq6mNUszNO6lwD0IFuiI0apQsgw/Qcgo5GCUgki1z2wK+KbF8 Rgt0HCsrdCMEzjc0G2ZWt8GH4g7eSWRsiKH3ZCB3+Eohs/AdSP8+h9zNQD/h kKwhdyFZa17tL+jSgbO0P3GrYQGa3Dl1XVWjd3sLcUA18BwFVuQOkgV5u/Yo sQ4Nn03HlXmgSRvpA+xOcE0mqt3re3HwRks33/4pMokrckbiI8Q+pBNAqsh5 9QfNmcL3vFOby+20oiSLxNWrIIKBNAF9IFlAKwIRyNmmg9H2jHUM251xSeFO tDtdI7r0ZFXyiWkf1OSOA/TLSQQKm9DxzWbngZttbH7XhCzbK4ZAzSgIoE1d UDFEuCJiozLhEGmmMhfa3OCcVwthMY46lo5DkzFI2KdoGIq7SQlS3BsSB0k/ LKv9fLbcdYUiOiJvv/kB6FDXm/P5ZUkcrs10KyNEAlRDpCZdlMQKazGprQ4U GiHsd95F71jtU8I6zNB4Qr/L350ofjBCsE4ZwvDTG0XeK4U+x+cU8Mu7hfLm Rn1pW6sh/BkRfO3oU+wM3XVgHwR5c3oMJKXHoCNtk1be1vnH7oEDbULySoGu CEsDlPMV9rOhP+Uk3ztmKV07dIaWVIBMFKfb4E9Gk04ehN9MicqrE1bQ9czN iQnSLx43TZbQsWHeK+8g9mBNIoXDp83rKk2vBKrCAKDJpKY2mJix51wbVujC er6UTvEw008xSjfhQpt2iasQ1FtQ7bpczZlSdejbcpJhTGwrUiWjWxBiOYfA uGAerryyNPmpkJvAdLUUPM9U+TzGSXMMlhQRNDYJTIfg23rjwDmWeKAlfAat PRROTm6E3vYNJb4Rg7mC4ALZQKjBDwYfOvNVxWLg8wIN8YKmKAjIckxYw7WC zpRKzQwZGKivvljpjxExHswHNaT+ovY9E8KIZk3TUbRzyHxps+QMokEUyj0U GPAu8VPDrNEt3WfQllqf0/fP1tBUZOsUg8hEq4S5B93Raxz8vVc3SHRkw6sh 3TUmQRrukibaQa2sWEtvTOpugxhMOi2QcTemssTCL9hw5AKa2HQoUw26gFwg ZECZkVas3YJayktbWBZqlFFgKRDbypSoUSSurUT9lU4qDzj82TxJVTJJ6hy+ qZWnKmdBSlRIWBHWdjuEY4z8zjIVU8/ANWMa4bdKhwfazaAp+V1s4WbH9aqQ jetPBs+XXBLF4GFGGV+qIDswtu5gW9hhIVMnjteo2q9wu2ogQwO8NxgOuDEM 9UztLYTBcJeUXFmqPe+r66osaTS2FJo3HuflfMwJ0kWHxUiLzm+hBulwOddt VVucSmHLWSa/2aUdmTdVu3pBs3Evob0p2DJpXuZKGnnvpq8aFtV3Z2K78hjj 0I7XBopWlupgUrHBcyFJWFQyJctChPDEdH5JCzu4Sv0QXILDIfQH7GgBoMHD Pe8NclTcqCUr8jqWjXfCaMNPD+4HekLMyF28P6wmwL3FiS7PwlcPOK9tfj73 XQ9NWHoX9CAADs9XPxeWIqcqxGHGeLZw5Zoxk3WW3A4V14yZmmxl7unIh5lz kX4qun8nzPQGb2KNs/G9GaYwcr9Hw+T1lf5T/aKsAvL//u3/yn/n//3b/+/f jv7fbo5vUkb4lOKW36pQt9Ko7OPsf3mD88/yP9bilp9kuOzz/8cSn68ahw/K LWL9/33QCdNbHr/wA/Vq14/jYyoxK6zEzNsef66RtKW+fl0N9v/aqISp8O/u 3E/f5ChLEz7+jEdIJ61WmbaBak5cF93QNBQya9V/EFX8atZ1PTzJMDpqwmpP +YIy7FZp/un/bSMWSDpifgwZvBs1+FKGVbq+uf8It+lDamgFGg9fQYllBxP2 mALslEb88JXL9NQ5VWvEaynH+gJuIHBcnYZ0qNzbR7tv6bw2GYdbqpileOTy D9ToixH06fCBfJSbN5vuu/4zxfz979S7S1s688bTlHXrJnrX42NVASk8osOA HtLmtdrvc9L2zFlXgncRbzOWc/1WCvCMxdQa73LL2MeDV3+kcrOX0NCm8faI yqyOrt+eCi1dI30kQB7U04ejf6vpskGvSpZLt3c3rS+YkzJt3+J9r50q0pZt 47fUu21Hnkfsh4tz/dHjbJtWhVjFWxiD61UFP/rn0bppt57u/kLiiK+amPlO jgmXGQxgZg5kfoMn9nyejOTHB19wWekPqfjSBXTs3Zf4qw9XLTN23m0frTx2 edd/7Yy8TGYAOMq8fTMfoAQVs0t75CAtK/Mh7cv2lvfC5PLIYIW5CTSjdiWG KVoe/QHlu7Nt2ahwlxSLt8MOgBAUXAAjmTfvogEtbeimdNqMKaVLHZ07Q2Xn q2UnymfQocc8gx8ck2qMIuy+XXjZEjCHMcPJlwo4cmOzwpwE2pUtPR3MmJZy bPqG25Cpj/vg3fFavEuVJGTurtsUdDEBWbapaJCxDP9gOO58N7P94nwOLi5S kipPT+BjV6ZMfx7/9NXVPj+A6LO+WFV3aXJCUV43OKh9CwPDb/Nnoaqzphrf +UsnjtHaIrmZH3nGofgbYgGCaglTqOWwAdRk7DB6+bhUh607aSydf+0JUnwG cPy8XXM6mvEV+4rPwTVF81CfLm0I+Cy9cC5tt1/N58d30YE00Gpof7rw6uM0 uO0nhM9+XPisywWz0Xc536U3D9kipYA3fJaYv0LxtsCC4nWY1UHBad9zOKUS iFaZ5so5FvdUEAOIedcHcKAHN/eGtbQn+zvUo3sHHRqN6RI/Jwy+i4v0pgtP laWzL2a1nwaA+mJWFstPJRfNo0Ft2tCpVzPRhWdz0dVHC9DG7K15MzssY8Jz oFnwghOvYWGF3/qjZ1DLAePcqrz1xuED/P4QVDp+h/9tdfEPqM3nfYynBrgF kl2YDnxZqjyz2VeufvfjgpmllloC54T5lZIVzryVnB9TqiLuACCEJl951WEU eFeWyM8g1cfuHOkIvG19oZxu8Hbt1ZmBy7ANyHlTwayUf81KqjRnBuHzHeA2 Dljt0L+Hw6FsZrs17/t0vU8X2q6Zripbhu/M/TffJSAMzJDOlqCWAazrgCpk gvkmlm3I+qovTvrlW+XKRUzhcLWZtSvSyXeet6/kfPj916hTv25UZfY0+3nS 1r9TK+deUciCEO5upG9/H5uC/fxAYfsXLz+Rl46kf4sZMo5DGd6gJSVqUb/W U5giTrxcTfe1gHr9DOwvCvRDCJjtpL26PwX9Me16jaT1OSvYikpXMy7FvlpI 2/K+Z99x6u3nkP72YXZGPYTP3mxvE1oHdGxJKuz7/MlTtC5XfkMIh8pVphOt 2pKf6SHV5sw5CaoH+P/zdPJcTZo4vx6NSRy+p0niid6vJII85s8rNV8Tx7/R 5lHoL7FkPh1+7zVa/3EFZt3MtexvALvpdSor9MdCm4DqAIBftNk1/uIa6EVX v8PhZ9csJ0QSHSGEa6FCwwEQwujm9fknPlr5Ffnxez4LcsUoHjef9BvoQJkY UE5NV8X1oHCgHQzfp/ptKVmXrm7cLrSh2poNmZhU4gegnIAWznyUgw8hhRDI BYwTQ9p6cF8mnTHN66ll5alGNpwQRhXzSg6g089XImD9V/x9ohidfO192pCn Gi0u2p0CAvg96RtxFyaiOGmD5vP8SaWKeE31ECJ4UBMBjtnlmtAbB76jeVVK MtDP2uA/80Em/gyiAHFk2rqLpteuRldeeISWlSxG+VZttG2yA2qtdQpwf2g2 wP/uHHlpv/15Zf5C1HToCHroitDp27T3aABk4Av2PNUh8Wj/tIlrZuRL9CIh lHx7a98hR0Usm8yU8YTD8UybJA2GXjx5nK2sfjZHgLaSZ+0mevb781rJxi3j m9SKzggrLd8A6nOrlSbo9PgL9eVq1dIEBaZbz063COOGeWRa9R9Dqz+oxEq1 2sQHAwWVG44afKWQDKQbk0xU6iD0lDUVi9G+AllpaOumoseqfw4cEJB29bfc GMbWjIN5q+9BtDlrS9qTtQVNaNCT3t29l/KsOcjqudZZtmZqQTszNJX7FIjx LPOf3R8ViFP1b9XbgBjHqnxVqdbEGZRQqwKdzvIGrapSivq3b0e92vfl7/zo 5Is5+E42uvT88+a2pYU+toE6WYQBQ83/3rYd9lu/dviIeTeL/vHPPLRmqy/E EA50utgtceXsgolovw0PV+itM26abQ20sOnhmklHZf1U9/O6Va5XREuSsK2x LaZFRRtSpi17zayGodzrFivZI7yz5EvFQv02bfYBTWrh8IE02aYasOybwziY FMaAsADNDztL1U+EemruZAVDaQK92iU4moCSR8gM0Xq2TzFQaBUGs4w95TcK M2W9JlcpRRoqhEYR9p/FuWf7Acwd55eobxOptG3PVMjpJyi08P2z36ucEqVc p6Dffi9J81YzxGL4bDX7fUhiarr+qzceGWj++Rj6NkshmxtXJvBL8aLEQthD 0OMK/zH4Dey28l/OYsP+nXuCvUDNifNoTZ4afJRNXE5verxdZU1AOYCCz0q+ MkrgPUusUfZ2Sn+YFgAg5cAHxYhgOJn+ypjIvuGITZ5jBSCppR9vKKv7KZU4 18Z1tLh8EWnzmtuq8DK6foekOAgAL/CdgftAKqcSeMR3GeL8tOIgj9Klq1Vp 6iIGRpzAw0DD+VduAY9gx+6DGB441uUqThUS5hmm8NypM1Rtymzq3rE3Yft6 5Fc2GjGB0M49hP0HYB5Bq4Htv8XWE/xo8IV+sNWG77O+adwAgBlUNkVnBb5e 4fxDyb2zo8AtVHfsbAM3HJ26jWSFQQ3IGweOMQqBSp8lZ1xDlkf1WsKp47r0 jqezaZ8yx/H0L1K7gb3YoYvrhbZM9exUySH/AniXWz+cUWkYl0FxJaNju2MW q4q1fd1+Fm1TXlXdBuOLM7IdrpYSCutnQ/rRjDqV+OjYvzuVWTDHKP8fT5vA /8K6wrm8L65XPibokG55WmjpWvMMcPRpVVoI6uME3lWmzU8qRCzbFDxem76Y y8BOIfAG5L3D2wJ0Nbx9fj4H+rbuxjK3yOIVNKVaY4rjZguUYJRJUelTA7JA tDZKcD2pQQ26+sKD9GfmtPSdra0VW7qQIQ5HwdacWQ3/QF/jAFT/OfT/E+le kLbk3q5Xifc2fcYZvPv8fI6ZXL2tA2rCfvKHCP2gBvhiuY81olE3buc+Xvce VMCHtpsU9O5oxuZ8mY0sDZPcb0VFDEHEBtx+3leOXjB5YUA39gFnBVKUUGvB x6NpqVJOsZgDZx0mclECu8UP2vOJd/cF+GytKFWAii5bxO0+P9qiI4GAJgFA HYLdVVsIJibrA0r2by7VwDYxd4TpA5ADSSkiK23aDTpgWkgpFPEknfshCooA G09CEQz9V44ep8+bd7ShL21g9OZelZiLKXXb57gG41cMHx/bD+jJTta9771H v973JKW+/ov2CoAYQCRMAH4+B3D9yajBBFDA3OFmr8E6xQLv+/lPevk7VY7v IT3If1CZOco7e/NY1u0JyJLz8oJ16IPVm22FoJPNFqQN1+beRz3+higywQor llCdNSvZu8phvj07TU0WqGBohwelxYhBnlUxoZEAlF8gHXQAelE2FNbMI+oM QaBJAToxZImLRaXCL+/KmZ5J4cIndfkvSACCQqvGcGdA5YmGKPwOVzRtKvgN U2zCx63F3lJaFeSFNufcGrJx2iiKCNEffxajhWuZFlILRTxDpy9EoQK5KWJl /rKU5dvtRpGDjEAb00SsUAbsNvMM8eLEwb6Z1Kwu9Zw8ltVnwL7fZ/G09f38 dP6p1+mJ804lopUl8zMNnEIMzmI6YH8pRr7BhFGKNqIkgqfO/o0GtNxrG3XX jC8MjpaJNe0xqdfE7NHilQg+b947qRQJQoqw0agkCK59qYQY+HO0xCCJ9yna DupNp998xhzfZXiZhrdqTHm+WUM7cmfgtugJwUIwD0KCA8rPyVwDuUPaNKOJ jWryWHN0I+BAE2qQXEUHawhAhADcsDaQxhUrvWzAqsF5iK78aKtdSxmy9wlw X6Ujp7wDN/BlqZoMTCgxUGjkjlCqX34lcG+o8/h6R9GqdG3DFrIEvoC70XPU uoLScxfR4E+wJ7xtx1hbMhUglJWqRZ279qMCK9aY4Xju1GlCO/fw8zmOoa3e DLYQAifnqpVhiE9qWEN0IHW//p6vvOo/yn8FFj+k2W4+ii08r2M+cL1n3L6T D58fZxmxAD6uyfMRbc+Y3Vaaa1J0BBByEwCOxsOn87C5lv9r68KXQmgAguNO aQA4P18kN53N/g7jHdccl7W/RSx2f5Y3aWCHT6OlAShIxiWs6miF+Xq8OjhU P+3VbzpmqJ7UUPq9u6jGjEnchgN0gN94WW4JC46rNgDdaPZp7gT8FsAPfYWh HKsZ3jUq9eUSYlNV6Tbwe4Bjc78YhzEaGMfyObC0UAV7QqewVQAyCHBzKMMO V5VWEpWHw7ryJJbb+muv1qIAOi7twesG0DjqjDtBcX8TEy3rps00pwyqKwG+ vuCwJp/aoF/CESR8X3OiDQ2Lv7MWFS3jvIPCR5HlrsLwXrMZlI8GrByAhs7z 0Vff6H/18QuXSatGSiJYm8p8Qlc27Qprgx1h2F6kFZg3pwJmz0D5lPrVGP0M VUVxUBHj+3QJY7HJZjupDa6RhqCju2DpcO4johuUXAV8hKkgJCujdT/9eB0q OI70tOtQbEbafsAXQHBDN0NHUS+svcYM+QcE+LgrCuAb0LvGt8WgkQzmpIDO umkrqyLg4wJoKwzQXmNzSsmAcqHR6vPz2Wrf8zBVnr6C2awvThAJdltpxmza lDWvQenygsVuQOlXZT+iL5rWFr1SmXEpfvuDGoxa4x5jz0rLzIotGbWspKRw YAtGPbd0Mw3RwOaspRmyLQZN4qGMjkDCGahXC/YOkTitXhXO38IQIfdA8mUC 31coQt9leYO7IBiqVtkCXhqI+WjV5jI0Z6XvQYmx4TM0ZeATvBaeFB2dAojx PfeU/hb6RQFLaB2mTYXFc6/daGCJY0eBMrQ1eyFSGgbYbOPhXzBC9Z4xQCyQ q29h7SPtXcDUkvPqD6bSwbSlBKYxwlRbDhgiv23fBTWC9WSGK08CaxySchH7 dbG8dOS9VwmITbdPksnwFzlL8yuXID++9MVAPEIEaoS8cvQiDW063dbQxnnf 9NIFZjgoXf9ZLBJ0YS7q5wPc1afPpJNvv8g816tKpegPKtKT586HaQzJDGTG q8lIVRt2gofqDLCrE0bT8Q/eZ2uX+YCO2diQBBMFZH3PSIwNn+ECeYmOnUZo 5Hnp6k6p8D0k6EU3L+iVgEFc9ckJBnJnRoynw03b8mdAFMyVY9ZKsYTCq7UH aAtRojP/yktJ0RkaU28znXihFx17qQYj9Odvt9COLHnIL7wT0h8AdY1h4LGL v9PYusPt22rTmaebUQw/KdC94wGbfR4n/MqDV/8gieUFEbYHRHGMaNWISi36 0p4HBq2F66ybjglI/TMrjqYokaptQplcaYNHlC2B15+0H8rnABJJ4NzAFQ6v Jq5CK3QeKPSs6XtFq9LJWved4CglJaNDMOu6uk2gFAOWjGQY6L5oARrBMMvT rGW+lwWCYKiZaMs+MGRt7IBBayee7xHpB33AC1QlcBB69cgxWw8bQqMatDT2 GbiYghc+Tq3agGDSRcs4Cy294EAzwOeYUQ220cZsExhju9LnZa20Xa/+gkel mgGL5WedIYBP6wWrP5hBlx7tIM9KIW1Nhx5zPHVqpxpgcG/2t6ni3Jl6xGPB H8APNGJPVSxKR7O+yZ+XlaxAAYBUPL63/Lcitaks8rf37qeCy1X1eMlEjwNm D73/Ol2wbS3gExqgDl4Bt+yqiQ60gXpjJtgUnYMPfFb1msB1tdWK49Uj33nP WFSYnl65LU2s2Ukc+14xrbQseB+gIDAC0wp3hUGGNnBX4FRZsAgomhj0o9FB Nq+DSegCrsH2jMnSc886mBQmF9OnzT56e6/jSMTGjRD6LQbZoxhy8GfuSylt VaZ9bywsXcAAIHpv20kqm7iNWg5YRlanbgt535+N3JRt4xHalfNdEfrKwQID l3OoE6bQ4Q+z07Litbgci4Il+5vuEJbAAnh+vTHjDfXCR1Vs13bxvCtfFVxj SfHgEZIpoPZoSOKAdNFqEH6/S3xPW4suTkF8CQf4R4JcmJ5e7S55pcCC4s1o 9Qd1CH/f37qfSni8XenuUFGNc/cdgR5QCvjByau9/WEKwGPSD/d5gajXhEoF R0DIwCpOYAXWl33DFWF/j0lb675HHKip10QoF6bN+FoT7N9gsAS/LD2AlhTr QgM/TaDaX6yn505dMRFEaI+jGkwh6XnX4AqC3wFcOAa0bCeTbhIf/+DJ56CJ n+Fn5Vmz3gDDc6kDJawBIg0wn1+QhN/U/BCmYg6l2ph7vWaDMLoCABZqXt1Q 8JJT3bJv2EX4rtGIBPIPaoF80W6dhnMTkOj5/1FtsOFz0vodDK6MAjG4byHg wSF1KlyYgH/i3wfFWJHZNSadIsTDIJHBDR8XNIKJmttVZmihpXtZ5WNc3ScY Awpzrz1sMgWKL9ilkWqhBtUdIi8OriuNPBxQIiCB8S1QySgQq8zq1a6zSRHV NW09oi7Yq128QR34FhCs1Ti8g/iDc/BvAX2bsn4QPfqe0BTzJ/M2gSGfQ8DZ g1edLdUBQqAuTjpBYn+4bGN09laMw+NMrk9mAVYhWvoN2t08M8yUf9LRRO8B AKHOGQCGHHcQHJvSQ86wRRCb4h6POPzRPO9+B5HAGuPtAUEdpHH+lQek7e6R aMEtpVHo8zuI0+3ahcXOV32v16lSOt+Yek0ZZXPKVGHzWrFYsFItexVLDP52 8HCYLAZIPQtZBUQ4AQwQAw7S8n69lfDXl1ramn8+1fmXsnn8DQUT2DYm8SCb w/5goYM1apRCdzSS+Cmn371GX9CRxFAGXT9lwQqGRcw9HpZ+YJNJ0aclLWPs fuGHlWZsNrwQkrltb3t6YgSFUBrvEIVByFeNwqR8CnwRUVuXp4p1sDtEowU0 GhXPFQCBOQ1HrZbOi4qWlfdAj7uBoPDCYJ82n5ucIzA96IAaiuhvnpHV428p MoKELUjLNzK4cgnEADlAlKGoI3T2Z+NqFweSBQZ6D6AIZpbU4QgbxTBC1Q/X YJAuW8aa2f8Ifbf7J1oy/qRpA7NEQJ/vUuK6T5tEB54iri2IayiJ7uEJE+vK IoFIv0OoBpoMG8VQBCQBIeVphtRG4EmjGIxM81O4/RHA4p7RSXDWEXWQyzPS BYWxaQ8eNyjE8dVHDRl5evWNXzOEnwj+IIZiCgFkYtmWTlDFK2/UI25L4aRJ WeM310rse6y1tGUQB7wbpPAJAYy+56V/hOdGBKZauhqWRfNydGCN73LwhiAO AAw+yT2UiyD32sts0bj56+avLtKl03+jfRuvGLBm2OHa702BFbzRgNWS85d1 JtGaXoulLSRtsIQAWL5L8SZUBNdg1/feBYBtS6QH8z9GlVoqAz6HdoAagSlo AHBoRWnkGKBGD9a4dLuPGKBCSr90TPLqEOxHUQD3uttKs+fQtOrNBbF+Qey3 1TvQd6Nmh7UB8Hgu35Xd4/uo34AhY1CcSlC5ZEHhxDPdnk4EmpXRw14iJOYC yfh8ZwCe0PhjMmULogNwSINSHxDuMLVVrWnIf41d5cS0xrTbT6sTztBEG/sa y2Cyxon0sMb8YQe3fsHerqmb6OqJH2h5u7mGoYLBQjdAsFIr3vgM/cB9LzxI d4pbWOIGYMU83hvd4rYA7BNAZ2zdrhxLEg4ZROgdBQJQrwIFKRZUKm7/S1yw InShcC46lDcTfVH/U2awa4s2IWBRQdA4JKMhCcWY4ZQ0EJRcvqCGII5lcz9M xOoXn5+/i+15qn3i3OWlEzdMzp64e2S6xGP9XuLPuAfLsV7lbiE4L2EV6Z+D rx6KwXMKuSnU73tCbgBZqkh3xWIHrHKS3FcLix2mtmwokblnowG06AtBWPPm C/vgBynVFCzWqLCxDss2OoL4MmPS7T7NziUN4fkNp9KmoatoVtWxBpIIR4Ll MnTVAg44pfQ9gKzXsPtz0oZXNQ5Jr8m2US7DhBwHSl1bsKTByh9AVC/5xzug ngWA+lO/bgSooqwRvgNbxDOKLVwrrNYrq1fY1BqnC5sxa2fkNtjEAQwOPPxp 4v6hb9roRIttiK2rnGjue1EQB1YLLdaFOMa+8bI/rZCZOhpkxqGCAZZw4Qop 2BqpP/fpSnuql70DaIp2EHJDE5oHsnOeOn+WJM00Dv4meN9hfMEog+aLG+F/ wq3MZJ90mCTQx4aUn13tFrzucDSx61OlrmpEwg3vOQtEFi3E4f9ESR3Ao87k caTXJ0KiYgUOL831mg2ok48OfEcfrFaVJepHB11AzziF1PPAYaGWutv0O+Pv LWqURISnTqZzwTMWrFBDc/OEzIntL/fk7ydvqM6sMkYQio/mViXNgUTOD3H9 LEx744BSjiW6X728J4SGFypSb44AG7KnGZ3PefyvVSAGZaEQjMGRd923NKrB VkacSqRPe/ggrS72ARc2QFeOkfkBregQZWH5il7e4vPzOYAlLiM/bchtWH4Y JaAApnW5KtHHE+a46kS71Mm7X4B5w34z7KdWBkojGj3TzLrIUwsgASYgU32y Mt/69JeBiVoG2yoAzoE/z3cxwBqxu1Hi805kBolH/HMqhQC2TlJ3OD2p5u82 oPFqhKsRRUoDynRgtn1+Poe+S5+eLj5XjcY3rssgqThnJhfgka8tLiumH6Ni U3fk1hGcBIGJc/aTcYDTsFDUW+rZnIjX/+HKq5BUSVEffbWOwYKjZ/uBIgTV 6vCyiXNtEE2S/pHKYScjaHpR//59qF9fN2gg7MZsrydAkrXwodY/9k2ctbo8 K2NaKYM17OIuRiFTcRNwGyRPuEN4NwfKDW/J3KNRNKMaBAT8RzK8ZT8asMm5 aT0HeZeWLaThUXi5q0BIZY8PV0w/rc3cX7hy2f3u4UHbwlFBIFR8wSoDARyz yjfjGh2uuiU5vtkm7MQW2914a9/ahE84UM4A3VXWRQCspn3PPrTz3UxcmSa5 Cz5GEkuxAo4B1KfnVOrcbDD16qq5ELSmtxxXHrzK/ADlToCypO1TnYJAryqH wQ3gCCUFBxQjBM8bRjXksdClAAQcZ2yd4WiuDLQtz3umPo6SMnqNI7qBB1VN 5qFU7A0zqyff5+dzaGX+6gRgoMfL352i+C5DCW1x/LWFiTcVBVQMGiUsUIRl XJ0G9mP4bA1v/AmZyoiK5Tx05QpNrl6LAYKja+euyV8WNJJuLSgJapTgGEvd 2jSjEVN9CiJIUoERx3c/HIF/PHw7iKRyvwYmEHoyJhAayqgWDfizXr+OJY21 Pf5HasdFcI4RLRvRyMF9GRPsr1MyDvDBcgm+qvJvAIslZ3AMsIh5Je05TyVt +GzS4hSxabaAwxfic2BxkRIsZD5ctsJ+Zj6yuNliUOifTu6KEQocyPNIykKG Uq94DQ4ckyi+RWsaOk4SmSzggNND8ACVIR8WDVA5ovS2+uFb4wOsQ5c3wDUq UCG1EXYVMAL24hUfyqCH9WTaVEEALLA0meVeqwZFh4sULQd8ESZFwCwqT19o XN9Sc2IUKXiwxNCPUO41MAkDjxiBByBRbOFiQtlcYELBA3zF3K4SIE1FXtdo JDf6dcqQu2rKcOrZScPFZ8m5Kw0cbPq97CixcG2yfa7eOWy1klq0QRmVO/IG 7ITpJlgLylaP3gfY/gwcMUPwChpVTxVlGBZVKEoo26CzgN1lXlGVyqsBFd2I BoGJpJqHjq+m33XQNrw6Ca+JFeBg5W6SWQ5B5QAf0eDZV7Awne7eS4MFbEcX /tYrofOsWcfsBj0gqtR84J/uFd+OPh06MPn3OlEYgtprAtkKQyOpRweDoYBg aBD17t6ARs9yqcShPjT/6wN05uIpunwNx0zasKsRjZv7ZATxpZy9UIeN+Lr/ dhC7MzuJYeRHoWFfYGeud7m4Acp9AFMBbmaIAUrc32uma3QjG4CSApSMr9WW 3SLK7oBo0jD6tnQjurpxpxFdgFOSDeJikVgxs2JVxsauTNnpQMmyjBXwH3yn Rgr6DlD3ZalyWsKFwINKLpxHqA2MA9WAXzh5Qi3tDODrmTUq0sEMaRlmd4+w sNpDQK8CGXJ3DAMKyqx3om6jp1Db5gyvEJ+Do6l7OyhA6NGOZiw9Thev+AKA ls9a5M7MeNRJOINDkX/lefktMDST8auWXFIeZaffBmGqWlHN6RMlLIWrzHeA OkR98ACgDghUzafLFabjmV7nGtiroKt7fLTiqfCXGcGZT9oKrl5OtaaOJ/cI eCV9qM0GcWo/M2jXUKrQju9hhcOFw9qF9d627ZTEfWOCmedF1cbVfQ77iu/Z hfHlC/I5sKR0Yao+fTLlW7OKtuTKRH5utgC/JHz09v+GcrZBjTVx4puXdAsT V917dGS2oIcC7hwDLuUR6knth6ynkhXmUbO6vhjhglDA2tCQseB0vpAAswVN XmDuVQvcAWIoajh8fj4HGtGE6ZnpwM4n6ZdzD9HvV16Sn4YNmMSj6RmvKqAY 5m7k/8iP9RoqSRTTgP8XqINIzeJxeBXCgGPcCrVNDVcchhtFlIDta+NH0ck8 GelAljeo1ML51LttH+I1cl7XaMlrxiHRHPFglvokDngEPOAphheZ29UichTm RJVa1DtsPvJzLtSpIYB2FPDs2a09vRAdQQD4hv0qX6UR1ThURa9M27YwqN3A Xl8gJ/NaLJgZ9mkTDezJdavfKbBjdXVm6OGIwKFAE9pO2KPUdWh/ujm5p3C3 oQQECpi49W7IvgGjWl7wb2yU7aQvZtao8rvbnOuzGOjrQ20GfktFS2+moqUW U72avliB/nratEkLes2Tu1LiCoNdqcsWaEnDJnSnAYOgMMCgVfrDeOr1aSda 1Lce7R0DCsO5Eh2eUZBOLU9LVw+moD9/U0odckaMSqIi9FRQpWvchiJU1T+A AdWjsWS0+szJYRXaUWlU2VzA1KhPG5AoBcKk51QvwwWusTYHn4V3W2Y5tAsb XkkIP4NHCh+S3lqhRTu+xz4fG7KXpok1W9IT5y+R17UOyhCHEY5wIEra620W VCTbQnjw7PuvS6l75U1FTWdQCVd9ltrPQZTBRW1rXomk6j77vJKQhAU4JvVl xVJMGodzvEcnqpTlz7uypmc1NvUv1w258eYEdjvTiFflQ5m5MCzNaks1m3q9 qlsucX0GNflK0YsDDen4IZY7gcZuiB/e3MAIU3JQR4VrZvmCoK/RLeozreE4 m/6pP3z+y+kf/tVnnc/8xM/9N7ZaM4Ba9vVZIC2ftYKqV5lGnZqK6iNU8g0l Tr5EF859Tz9ctaeFiQxKELRql+M5APkCqw4OgskU3zzkEFlXmturAe0ejUJy NpHZOtLxha/StSP8xmqUnz950rFB1ChDMzd1WpQfnIopWe6N6rBpBqhLH4hA QDZ981EON9VpYST0JuSFNth1/Tp/Zs+ntBkFPRqSk+hGUJMTjjll6hO21JH+ Fu+2Y3GDvsnrOlAZghRYsje1XlUjciCmILrc8XgQodBaSlQSBj2dQxebh6Ou OqSWZsZ6t4FhnzUx3gfec0T/bBqPryfJMyE8F+r+jKb16Mu+PVjfglhSM4d9 QKD285XX6tmqYDKUAUwL6kXgL/t31GJnXKOay/LSBY0AH9e0DvuMNcnrdd28 AZN2fJ09TStKFmBS1LYY2vjaIW/eWAbl20G6GJ6bi79QUgpFnS+U5FHLLlEQ SZf+Ol8i91+Xs7/wG+gUFDqYmvcOCIGupfIVplOHJi4zODCdurY4SXu3X6bz Z87Spct+odHBtGS9EYSWE3mMp0FDYU1rITqO+rYyBHqfECikoCFQpSJUmTad 5pUsQyBUnc8Iz57JnFBVIqmkNwJVTnFMEYwbF4eMBYGiGPemBjVYVLor4oOg 1e5BkH/fFsjCRItyafgL0clyUafv2bIMaiATrlc1U4UjsQmDJlifn88xVad+ 6RABocrACa5rP6ZeW2xVgD7WwE+7U+bNqjhNXFR0bOm6Q3IlZyRRYL8qTloQ dTOA4jduNdNVR6tz365hP4PbEeXnNYwK4NDf4Dt1T/BtX1GF4V4/cih6/VHU 1IcgH1FiDAeW9F585TH66dk0vOQXvpCZtWR/C3wPvQFpBIgKIibAREtixHNZ VIuXtgexbBj/D9rQwnL05jkcwaSUyMMq4xeD8UPp1a22orayQ6M/um3vtA6w HksNOvmCQoPfUOlys+mzhi4aDIIGISgP0+b1a2j9emih2mhrQcMnIaQCoaiJ biQNbtOBlvRjcntQiK4kHZuXmv5wh2YDDUaNoV3pM9L6nHnow2XLhV8qmzfT tq3/1PnPugIxVVIz4on4AqAKUA1UeWcPiaDbs6m9m+oxsWEFWBRNgsjgV4DS qH4NrA1NfOXVX6HorvCSrx26s+Q8rEknpin89aWUNlQoN/fGePwNtSkw/g29 7YxP8ggDuAbr0dvQeBVEivbqTxztvE49j/eqnYswipouzqV9kv541BYY/j8e sc8x159OTSfftmni3Zfp52fvo1+fSsmTBlVGJVukglDTtAE60svoQRM69A1B ie9AHx63YcIturaBWorOlBASSviWipWeT03rMKbFHRGEaGlOIyYDj3AywPmv UT+ZunwygMZ3bklrB8NfBtTXpP0T4XpwcYk4jXp9tOo/kNNxoR+WTZxDU6rV sMcM36BgXlb6okfds82uD5mnYlRRUkEI1bC18ofKs7gGRQRF54PnzKD+QQc+ 5jHR6YFWyXnLkoqVwPTKTRne8FJ06DGUUgnCjRTh94wK4Wz2oFAokHzJ1izg k9IFZMEuGThRQhxwggHqlG70s2C1tIeED5Ve8cKJi85u7dHJiRCUuf1Z36TL Lz1Mf9l25C9PpWJV1uK3joFI6BvfmskFySM69wjZkVrE4f/H0n1OQXRttWA2 qbr5VnmRSNTqRV36A/AMfUUAy6hWNROVUAYPcitgB7mIwhpL/Vt1p9k9mtDW EUjF0sCHh8H1GzFdO3cJAz7ADcCPaGSr4XEC+KXVijiZ2iEF+NpqJm8A/A3Z OqzFS+cYMGhgHD4zgB7DAy4GhckXwUEMD57XXDsBewi6kQY7jmZDJrhLOQLg sIUY7rEC+q/zVqDnTp2Njq2XkzYo8c//Er4ENmyPDK92iwxiCCOD/xxqphZp 0+tW1jEbcAtdhsb3kTwm5/r9lFi2Fz166adobZlY2C4frF9Ni8sVYTwfK5ST zrVuyioQchmUfG42WvYjgAWFClgM+yirkDSiCVNmUrsGMPl9MQLnNVSxorEu JFAbgr+sHQ0ZrSGHz+OpayvLQXZPSujenDYOxUo/IDsffb/K/JzYsUE3ssG+ 2YpQlPrxhImMdMZ3SFAOhUcvfDUor6fY7w0ovyHtCFYCLAeXPQcVmN0uyrKG 0pIkpBsCX4PZ73Yiw4fidQmImm74e011SlkLFNCEAHTDsHBVJC8/axEtLFZL C4PQ1hJ16OrGbYZmcAt0Iq+mhNegoDBwx8UINe8W4SF0EYwHqk9eTfNLdOfj 6TOXPWtKqh9yP5EOCu3e7RWDv93FPLxiOdSKRo6x4dgYRwK1qb+calbZQCXL iMIecivsUMLhCkbcWPTzQB2aMKcVTR8VT/N7A8bPC4pr074vkqDYGtSiJaO0 Q49e2mvK2VpudP920P6n/IziAFCdbaPIG15+6AA5ySKESMkvOPQ+VPAyQJrj M/ajumgrgwC5yqZG4MgEnBS0wJhMm6o2ifppFRLUdg8vRTVrKSY3qM5+WN5r kEQ5hB8J9iaiHhr1ar8YqDHLPqwmlrBrHyyAHwEZoFoAb8HBbDacvjnKw2TZ B6u/lcVOip+NbVxXPLm48poHqNQCoBuxI75SzoVIrACfWd8pKPdBu2nXazaT gc/PZ+utfa7l7V6lzdMODZi24tHx8070+RBNA8y7G/sCidSy7hKqV/1rqlxx LZUv72d6iIMWM4Oaf6LVdISsYUgCoVhpwPnBJgXs+umqdGgq08RzN6eMcXXq EdR2GTyBISgD2gu+wwEqAd9XcjmsroHlUAZnPd+eMkAN0GPxGUpN386t6dqA Hma3NrUADvsurcxfnjp2/9z7akdBfBCo1hvvYV823pXSz5GJwLmieXhfM1yB ClQQAzap8ePePNwYJrBqTvySFhepR8jmUcOJ+ATi0kiN8IxmNa4QaFpDUEyK HZVALtg7kK1o9IFrvxD0lYoz19lXPTpMIWxzP5ev0Q7ern4JH0c0GilYt+4C 616lkxoJm0/+Q2Pbl0JwbTPw/jZeEnLS+m34PlZ3/dc/MtGFLYzSxwSrtsY9 vDWtHtiGVgzwBWxNpZsv1JAWT7DBtx/H83Ty7JN07hJSNtRjNMN2ISEcq/7b YfUGpZtVUJWzFeZG50UDftTOVhyy1JdLaV2ukvRtliLUt3V3ig6xKREvA2p1 qgjmHXwZfBvEAdTC188bwSjIhlWPvTlkwxwDTYZNJf/a3FUJiyCWObcL5cdB MdXRaITTEFbDN9gLHOkXK4vmVyC3DfhcmajtgN7CvFWWM4z9rp3j5Zlel83l dYAKDDNE4wSoY+sOo4Yjl9Brh88Ypv/B6j00vXJ/6ReQfsD8vQY0INOTBvRl KMcKux5H3Vq2pGHjAGqGVwKv1Fhp4GUCYn//EcEzxnZqPsc0o/0TRtP3K9rS 1nEdaEnfXjSj63Aa1noSdW/K9mdjOF7im7ag4eP5yUE+B8rQnGV5aM1me5aO 2Rz/Z1lHE3IjHQdQjuj3LSp2iEuaK8A3/3yszcpsWAQAYCQvV2UYA9b43u9A Ds3cyc9na0Qj1y4WKqQKpnvLMb2FkolkCyNQLYcNQn1pOH4k6/2lvaG9be8x ZAnaO9tja/IxFJKQoAQqGNCqh3119alH7PPuTO9Tz049aFPerNjl8sbEC6ny EoCMhD20K30GwmevYM/jgBjGJsM3tUD58+ZjCe1aO4kRbKPp34pthb3h1LN9 Ixo9TVAn2K5JE+eC6wq3kHufp59PlqcjsxjVcXwOgXt3okV9jtPC+Zdp/LTL NGzsbOrSXOQAkogH4oH80Dh5dCWasQhy4VG6dEWtzQ7q4nFuPN+qBI2SjtiM BqoD4zNWAA3eDFUC331ZqhYFbg5eVFhG0XzXLvQBvbO73t3d6xYQHvMbgc4A AzU0pdpnpHPIUV6g3pgE+4UbK64d2JylJP32UBo+jryRRTPzb7BtXL6CdCQd FvJJGtHx8iXoUOZ3mJkjjUiZDU+eO2drfKNZs8Nqlnqs8/dkjQ9I1vnLCFas yleAEY4D93nm6bmlDXxb25u+NILnfp9NYH4OiPsUxost3BI9xlWtVahHJqPG 64bGCvfAch/q14thGRJw4tqAM0bACY3D3KsLE9HVg0bDliykoG2GDoGuMpoG tcTT5lLXFj7rCg3/wmetop4djaIfE+G3UjuE8DbtPQIFSa3UCejVPiACJMDe ggZUwiQkNhIj+UrNfEKF+kwTLroIgi6qTUnkfmD2oBufJcSB/uHE4f/+rWft L+C3AjvengfGsrRhsyF04ZeJtFbYIykM/qQnBQXUIIVMW/aQIF/adrxXiH55 5AHalbGg/fbcFrO0SHXq27ENJ4FemTCGjti8G4BnAlYlk1v1H2CQDF9VBib+ xhycazZkqP18aXvtsKtqjtdsboX2MnM2OGgXpm5BU/noq+1uE9XKsOMYTaox KEyDYU0+WgpQcw30mwQXJdt0/JwzUxVjC6uA5LXUjYtSBlCfbqLIO9pJPA36 nHGbwtF+UtBvf3NRSgj6/dt0eS+opRl9OwwUMpb6fxqUh+2xBQ9I5JhtLcyg +CZKt4I8MrRxvzy9Kk1dYGhDfIoBOGS4WqhNG1h1cgvaUDmXOlmszsRxxrTs 3rGPQxsxgv/Pm3cms1OTcuFCGYLQ0H0hS9RSZvZCghjg2sVn4A/7dAnVBM8V yUNnMqflr5OLUoQqghASWruB8ADl+JTms/39IkwtIl6ElmCxoi+4BFL3df7w 3r0OkcTwOTCvZGkCUUAc4LMldMKh7DukE3jYjfKjTNIVtqa/e8QSWliml/2W 0tZsyEKCpevGNZQjYyVYd0E7Ctc6o5lDJyptE9EBGOLwqyIvReWQmbA4jocc kkL6FsdqvZZtUz8NE9aQlOWQVBsaMorhnspRup6h0+ddJBWwgX4SpAYLeyT1 aKvkCXQsI2OUPJtE8c060OBh/LCH5ZHladZSVrTwMKV3IycIAVjQ0K2ULMXE 4OFAqj28HUrjCCEVDGYiYIVeMA0HtGupE5iRSGYeI3w5BSyKcXVaGnraUbQa Xd93iDbnLMHXoLUMO/bqDcoAcqhx+Ao2iio2AZsAeyDJFZ/ZEQihtDthCo0e PtC4VO+W7BIqNNdaFz6a9X6uTc4qT1/EjiFfnNPPGB+yrICXdi0pXNTQ25k+ femAfe0X+lqfMzfVnDgpjPfgFmhq+hamwSgND1jKRkYp1+fWPon047HztKrh CCOP4FNiq9t5XtAt33CAPj1HyhTokTKWNGETgXrQGi8LUMRmcpxxiKs0hTs3 Egc+I6Uf5bZ0DSMkJkdJh6AlGDtMLn6HaIzhnUaIJitt2smCx8WOIOrS066D EEzaSGpOIyZAsYNzwJdKnjeYenVuQiOncI/HpB8EmXkXHWe/X1ZxuH7jZqEy EBmkWIyz7MWskFEEx4v99C3C42OAQyh8IDoof1M69WXrnzcoV2TRaMREEYS4 esxhlOZZdx/RiklKUqCUkQ27SNUf5YjG0lp4rEBL+H5TmaZ0ZdNObdPjNlM3 TQIlcfBTJ1SoxPQBctr9fmYmM8QqSy38kveD0h49WDzoV3zBwqi9VWE6nNBR aGnVAWH0ATkFGhL4BnCLFnss2qKCKae4Ie4J+jhXtzKdyPGOyXrRzAdaIIId 7EYW7ZAzjEEZl8oVMgXqQDW6BsOdUU0I7idNNTg0xTzI4EYBuZXwTunb4GGA 10rUxAB69qL+ffAE3CmqoDWWurXqT32742suhZzA+2ZsNj8eSbrf2oXLRlCI 6SEWBgIrfeo7pC+jTa9azOzAP4mcuhuoh1HuigIfU7/P+rE4EGqLBcqLL1hN PTp8zpY+wA1oA/n4Tra0iIMvGqHcSy8/yili8yuV4LxmpIXhGptDySD4AWiv eP5A2qBXwQqP7zLdxjNHFFj/gu3CyUBpHNwDxNzPK4IVAQBxsEcgA8DvlXYB 88VkEouKzsnhWIcC8CKF1l3ZE2BFG195LZeo0hlgyANkbsRqpag2fZEIWQA+ z0vW7TY4d1vT0NH4y4W+7DZ4qcxz77sdICMpTzFIowfosKTldPNGhBVf0I7Y l65EC/RyKFe8nvHuC6SEEcYXtTuIQqL2iNcY0gdw5vNz1oWFfHoU7RIsy/PD lm161f4rOwhi9ODKa3pZJCGkNtG7C6s2ADhATGu1W5CAqsOoynUQ0h6GL0v3 94SxASFu/oJKJ3itSBrlLYCgsIyAC5YAcm62elGAwCxivftiJ2HKK/iJ2oGs 2YJEaj9mqKyfsJyx1MuZbrH+NbxNvSLiN6btHvmpIQvGU1esmx2lyRbkaDwO yjhRlUs2c4+npV/Tvw9LMP6Eh8T1DDvIPZnAPvAO5EPbZG3Bz9RgNR433IlL RPL/3mK200SAr9fiWF6H6D/VzzU12q/ve9BxBhkzU40LLFnQE/d4Uvqtn1o0 ofvprgkuEzXGrMVX04IUVkwJ6E1tjmdd+igHnc/4KlesjLj7eDJUgPgfGf6C tPybpN4yCDSwMe7hWvljKAPFBRP8hwdmszuP3tHcIQ+Zv6AO9UD6YiNCV0Qk iNS8PvFtaM/MyTR2aP+wbYf/2+eglLRhRa9p87qfbZTzUowWrjbDqgzJQrR0 ndGNUzlkAW7kGIiWzMvslR8nNPprpDwgVh6Aa9BL26v9EjjJ0taoNb1gHnBE Wof4XzgVKvlWr1xhYe5aEwX3G5LFPVcAiHJ6wKGSBmBANrBuuIfi3NAEQEr4 jvegVAIFc8TzpKgInAyzIj3kjJmasaZOwqpZpW2a4n7BreMKJmBmO17qzX0R 9Lm9cRNRcw9L4fe6ObVSm7WXmq+SuxiZSrZDDVEsCeNp9PM5iLWdWKmBVEcc +F6+u0fzjPE185zKcYIaMlTrQ6BIaFaqlASr1c8DnXkWqgzuGZ4nYcj+1gnA wLitTRN2jM6X4EvpUKzx7URpHyjvAlYTcgF5XL0e3Zwi9+LLqqWElJJ7Tgs4 uNHLnnwBOWPZBxYhIN0e63b/bdOZ0vETGPecsg3CuKqYdCn0dB4bU3zBqWkf Lz8+rswiXO8fkjNh4qZGPK2YzlQym/vi8y6rMWn+HVl7WR1Ghi3buYSCFFII wncJQ1Z7YOC/9Lz1rMw0LwbHosutH7xvEhOwtnRm7Yp0+P3X+LtJDWvwWlPP 1fHySBuWbOX9eo20vREdxaNYOCb/YvvmmuJjQO2mDhJJgtu9Ze6pInBzJeRB nbDx3EI5/nyPhNOzG3/9t/P7rvj8v188fM0XOrBxwCbNzXGA2ucuq56QQqBx sG+OueuKVP21xaDJHjxTkaCRAmtY4dA7m+4F46ADVDBUYOyACaARHTJCCM5j 9rHUECWdkDcFRPjR6AucLZaXq3TiCpnfXi293NKGcODSQkU4i8TzDoAfyohg gRi8k+AUWDWjxgaLwkzXe6KKpXQiyMYkUbhTBbd3snC/T8wPCO1fjm84ByDg uHr9FJeraUGTv9SOfvSBwGc0hPgcONQ/e+LGshUuLSzWmH3TUcJCtlEKwNAB DFAcGxBRejVENaKNfBWlWABjWFUin6yaduXK9+/UiqFx1bargAswDFYJvIJC slG5UgQCUrXGT2BgwAeJa5XI/NFXy2jr+5lpd7p36ZPBQ8grbBpLG8JBUBT4 u+iCd+FtKZwpNwJEadVIrDSJm8p9Cn3AQEM4SqDvqW6zAYm/XTp87eLvZ6/5 TQGjr8wjBSEp+h7rmLBmRgmRN6PzJ/x6vBN/ZpRUKH9+Tpnm9PJ331MkN9jt Nb8wd0KUmp+7zJVb4YYc4SVQjzi/YZZEefXqvOvci7nGvPuCmHlf8Jscuahb p870zp49DLOO3ZF7yd9ZaDfP8Mrxasl/AH+yXvYOh7JKYsNP6NoFRZYvvjl+ lHg0K1FweF1oqp4H7BgAiFVmTdj2cQL0SVZMJJQQBKYy0ZY9WgI1+32IwSCU j2v7Fhy78Me5az4FrAN05kIjGjfblZAWA7sBygpsiuUzys0d07HjFWgpHD2L 5JZPBtNPOazAQJaUK8yahmf/ra7X268/cwCe7xiZ9alVq1P2DRtpVvmKd4eE mtIGqYJNA1izsEQ3hb0BEQPdFBtPiFJiQRiZR0SKaSpUoBhbz3iVlhwdKgKw MDBnXS7EJ6ybnSvBv3PCuzZ/WLS0KDet+jJfwpVqD22WXwqAL0E72T003YLu ZzomyHSHAIuhpwcs+Jr2HwUoNtKRE+A3KSOknD90b2ZfUq5DrQf3Za0CqgMO iI4xzeuRH9UjfZb+6g7AEXSDY3+uPHS8QSMDCLCNcrMlTVHn5ELK6P5f1K7r WaQonLhLmigbJqaVcmRBO4E9g1aIntuwjQAAciDDGzSjRiVe3KsqqeHj+9u3 moPx43WnRPVz8MFhlpct/NCe6Z86pbHBs2VKpoSW1wck9FjUYT9GW1SBEJY5 nS381PcjVzZc3eivEQmjd9dPWD8rZ4J/2+T37Hu/nZYlYdSehsKfRM3Btkp7 jNH08L1BjnjbUiGFWqPm+1zv0qmMrxgdFZYMvgdfQVuP7h0iysSbo4fLJvRt 3SYMPfgM5ABZD1++bAL/YDcQSkCNZwVWYMM6E8xbQOPCZ43p5IfZ2JDhWitq uQIEEFwaUHTplsiJbTx6OCMHx7oCuRgmgA3aVxQtQAF84bN2Zn2XOvfqKgFC r+WQ5GdTaAQBElM3VU1Ytrl6Qo8zHRgHOrEZ5VMYRbJKLg71w8qvnPXrzvrv HvmhxSPLrnR9KOHH4a8mXOvzRAI+9znVxvhR4OI0KvWj0WFIMVPUuDDajFfF U3EksBpg5lwZ21QqX4RZj1MTh5WQoa2bsp7rmSOpSoV1J44ls6GJkg9Yjm76 KS0DhjK4EY48a9YynPVzoQMzznDl1ZBmpUaV6HBbzSY2bMs4I7xuwZfc6AKE /Jz9YG3Ondk0+4KCMKDL3O61Mor6acREjeajvJ4m8IBDRHhK9ypkHJgbTNeO jzL87efxzU9e6ZBu0/aRGRcAqXpdCAw2hPjYvx3JMrwFuqRmZhxCFaimgpWn ADqienqjN7RhjbbngseqDhFmxWxGpn6bRaDuF8lVdAuoNRkzjA5lfJ3aDeil szg4i5LDA3CeYNE4YF19xmS2AZEKNOaTemxEI1y5vlBO7qdg+sKJE9FrUF6N KIUurP4DeOZWKs0LXhXFgX0NbdlU0OXnc+BY+ZJ0MHM6bquQmOC5cHAkgPkj rMlQ/yFcJmbtmdrwDNYLrBpcQfUGO4RDiHNBJAvXeIEjOaK84wu7lGCKgC9w JGx0cSHDK1KwzSu+vM6B4Ca2S694xg2OyfWqs4CAKEL7kjKFKYAvfCn3ZXmL TrzzAo1s2ZD+9ngc/fNBP/3Ltvb/+f7rdPrNZzjoj38BqZh6XWAyw8WCBj2m ST2RYWpykPeAdnCkyxPG0vZiBbn0sdf9zQUfQajMGh9GrFW7k8lk/q6Xp2tN E0t/Z2/bTH2mjr9Nuci7mctQry7tzFx+UzAHp6eNa1KHQjKH1557gLbleo+L QYF9XcryBp1pWIM2NqpJWirh772cw0LLlzqC2qslpLQuEKHh/mpkMVF60qCL Vo9uzpI7aikTERjesjFPwsB2nzJaVa1PpBJiXvQcnahQnA5neZsOZ3iN50k9 URfr4iOjx19WgC8/Z5Zz77vJ/N/JPJiwAZRsPZdFLy/aM357rYTh8xtvhkRG H/4uUuLZv31CLHC2T4cNdP98DF4PGb0Yeaz62l8oF3M9fu1cHp+vMj4R7Rj6 aVP6NncW71MW3bDfp4cdB5RRDP+FWo9vvlj/sW/Qpp3yqHCsPXOQXZXuzQyo MiVh0WOvmXxqVsL2+ivk8d63pA2zBLD3b2er5f6JdWvabfiMNt7vSDGId/bt oRVFCtD+DG/ycY8mRwdI8BcteL2uczsf25vz7X9gcrR3HJMD1U9bFPd2chAg NMWhk3trGWX3QnFbWyA3D64vxGdrdJP6LIV3ZMVSlHs87Fpfg/as7X8smEMo bF/Wt2hWzfL0/o6tHLzAdxj6ezrsIQw7fh2Z9FhbghgtsuZVDXzE47j+PTpH 8pkkw6zUnviFgbwvKOdFpYsSyAE9MDvMrPz3bnYC7viCEz2M1ZFD7eeD4wYJ B7hG6DnKyVGlQxqOnMybFfCVV/UvrcNMTJtaWIYlDpgvnSmOv5hEtOldDJBi 8cg9mcA4SJQ5lcqYSTz9WXP+C1LD5LrT5cDvdN9klz7SFkIUWHveTpT5kJkX eL96BVxiDvmqYnQTKDkmAazk69OmJ23KWown0qufU81h+4E9ebth1xxamDOz AazKOwQvxAb1WNY3vU8XSSpI7kkUIRXCJFabPoUgnsZNGk8frFnNE6dGQc8x X2VI5ldQdjz+PSjOjBf1u+xe0v0qRDdZamRR/hzLKpni5OeDWAE2s2JDnkAc 6OPZWy2zGBjXrI6EBBo3pDJz5uswHLbTyLRjizlYoD0RgXiTW8hldWbKtCW3 Wh1JutxiBlRkGeSCdXgYcV8Q422rudWbEfggj7yizMJLVtPa3KV5Rnx+6YeZ M8/z6kpxLZdARUC+UvVkpzSoxrN29pVn6cojT9PAVm0I9Ljho+z2v4JvfNae HO84SwOUp8dsq3AvhjW5+0U5TWpDNRDF3NJ1ZPjjnGnKte5b6th9sJm6O5oS WeyUAjQOTQiVj1D0S1c5wrcQrtjQA255yVGMmfVxeZ6t06+8QKeef512p8tC 2zNnpaMZXkVdccxW3MX8menKK4/ST8+koZ+efoBGNW1CjUaMpVVFCxD8CNhj LdlZVpQ5v2ZFtIsv3aNZ1HLJNYuBQS3iubTVm/sP07g6rSggE5l/5froJ1Il cWPSUKVNKg3KGcxa1yM0k+jHlPoejO/Wk7ZnzGGOb3Lmp4XlS9DZ15+ifz2R kv51v0X/SuOnf9p/f3ryQTryxtv0y+Np6M+HQtx/TL2m9r9wNdl3Io9yIoc3 bk+mGN29ncjaX8xwJjJGZmxR0eoELik9+BwEZ9X9cPD3XmWZKuoNwYQCzpi1 y7bRgb+YSa7Bpzig3iGOr1TeBbgpvPItBwyx/yXMky+Ezy0HDaafH3uA/pkt Hf32aGo6mvZN8vPXwV3vZqWrTz9igLCoaNnk2Dk8bOkXvMLKm/PCqROEWr4u JnT7n1EJfNAYNmYrTjMqNWI5dY/mW6Rk0E24Rzv3p+96DDZSEPMOPDD0VH2I LN/uoBUFKnL/kvO+8qyEyiCE1ZlDdEd5LjmbQXdVMUTtoukSj/VIMstzylSh t/c6pQifP3mKJtasT0H+OrAjQzYzw8sLFk8GsjWLOoFVhP9Zg1aJOpjhLbkz UclF87yHo2SWg3qWcazJU4aYK6qKz5j1d3fu48Pn53M4L/e6/1qUkHhOyBLT Cgm8vVgNWmn/BURA3vwKcc4rAgaAh2eyF8st0KtdPM/QgJbtePMKVS46z5r1 NuZrmgn87eBhPe/WmjwfUcbtKkku3V3PqmnjLbH8iJr6UjQdM9SMMCJsFefO ZB1tav2qNKJVI6o3aQz3Vxn6cFujztHYJnXtR8B/KiUi0IbbtX+tzqRxdDBj Wj7wXXQ4YfVI48Tn53PMZ/1Gmmon+IvJ6WrTLnDkC3Efq3fbXqLluvhmcuMl vYOFCgkLwuwBr24YCFgmcKdfCATerld/Fr76e6hTyaj/ylZoPO8Waqtj7vkq JG3IZDT3PuFMuGlTKRSY6JXF8vPk+kJ85pog8b26SJtf2sIK86SKDgGgf4MA S85QCECm4NC+lNIWpld5TSSNcsbVFIQxI68qnJrxYgtdPu3cHu9VScraNcHf JcnK4AqFQsoBmFFg2OgPEpaZDpyqWJSOZn2TZxqzroLRSMyAu889sYhEaar1 BfkcMFti2j3wObnnVqib1eYHr/7IlA1bVU3vpBqf3PPpTe7gUh0+x8DDhEJR OODX1aaXZMqvKZrnNrIXDo292d8W2auCU5huzCHm8urE0XQsXyauZcFag5pY xL2RD4E0Cu1yxQTqbEF45kXtjdEEe6peDTpeoQR/HtC+JUGR0zlBSBeBuOfS AVGKexCnW9zDulXPDYDFY9Lx3bG06ShGJhxz/98y4bWlDTRlcnC8bkCj7kXB VyRC4PBZfA4CDJg0XG0qkNVN10azhmcLOxm5dsMAHpjc1VamyHnQ2VaT6tZg 8Yu5BWG7UvyQ/WfoXCASQHoECLjwsiV8m/oVNLcd2PtO9PcQpDFmcE6ZuiyB gUisn/fDYe6LRbxD86aFNtJ+ezwVd99WvCZd27CVFIfv0GPIDRrxf2r2lUzH Lqmm7Xl5uLtsL/4rZbXB4fJVmY+kZNzNneaRgJISP3MmU1q6ULIAAwMA0Qsk 8BO9urbjrUsjCQE+VLIukKBRARSApYMjxAoaDBJwKK4fJuKjY+WsNWPKdYhl c77MdDbtU3TBflWfH598IVR5ARRwhQOUDzL3Q56LzsaMAQ+8Rzq+8v8CfSYJ x+smPoKDWITnELFzb4kLFo9gAtZVPRGOAaleKxU6h7dqzIslEXZES1T4EGnC yyPAOFh6KPsRksX0jbTOQDARQCIdpl9nSQlcQxAGi0sXMXDRyXSSW2fpaot8 vOfxbZXvD9NtNlaTOY0DVEwkzj5Q+ARwOG+PyvJSBTkkqv0fKEp10KYGvnr8 3mBCHNdxmDC8LrQnHMAH5hj1a4BmFKPwvPmKYCWACC8CgsALDonwBnR8EDnc +AmpPpQSXASwOPvB+3SuYDb+vNH+y+tr7R7wHKB4OBy0nmHjVVkRiFhgFS2G SqllnUQHXgF2ggS6w3mzcR55jo3fkNftOwULQRQQQ10VzDcGlQuKqeI3WNLL hYLQ836HgkyuU8DBg3nuY/cUD0iAddeswra01RKmMA5MPbTo8BDnDhjj0EFj vRM3luMqgysITQMzjWLYJl1KBW0gdxAK4yuvmkiUSEAabdJ+YVv8Rjf9cRgv bF8PXompRh0kjKMusoMCMJ5DBnc0pUH89KFKxWmvTVSYRvfOx4g1mTJk0YkE y2Rr8JWc8VuQ5e4i4WGlxLxu2+l12ko6v2vanoxqiiwzJrhSDhwkr2+xx2aS bUji/b3OkNpCI9/aVazD3pRgb++T5zJxus3rNpPJHYqQ0Y3DomnO6lCLJvAX 8grKLWabZ9hrzo4ayrAAtVd3gix6CtSdNJYOvfc6/36X3vEU5Qj/p6ryqFqg RjPAIVw/oMuJYpTh7LAkKQrc8VDe90VIRFqCeDevo+pKwALivPayKDmNYfWl 2FggG+8iu/HDbFy1EKHtlSXz05EMr/Im5Rdee5xX0v+PDLxaeINRxOC7Fuub jRYxAUpVS4FJcOu6YC66EjJk1nflCrM7I7knpIDzSquK52OE+yyZEAz6Xw8H 6C9bOfrFFhs/Pnc//fZECjr9xjP0w4uP0NXnH+R/4X9kQpQ+jYnQA6tLuEB5 RKEeN0VouyiSxIFuhHbmTcmdN3iLGQEpYD/mKy8+xAoM3pkTKlW/IW2acZbp /9SMpACJcOUUW0+/UCALf4a6hhHACGM2MGPJGI5x8aIYuOjnVS5JZ1o0pGPF 8jFPqjA3QShRec5gwqEPMtdBhf8jAyxLRwKAK8QWIAux6apBgrIkfOW1vJSy DMP0q5vv4RXeppIMMOBGEiuVGgOM9XB89T8yul77qWQfLOgxhheJiwnL/GDp eN7t6D/sZ0/ufsr+xNBgs22sW/P5+cyhFRgquMLn/6tHKA6aOUboUs70bNph gSK+AR0CRFxL9f/SIVJBZzaZNH0pJwbWCJt+XtnU/2HDk1xZlc3xTcrwT5/g UyrzKWWEfjJkPn4en87+lzc4/yz7/Ft4/OT+Z/9PhokypdP89Dtl+faktEXy T/0PU4zyIT128SpVSFgRprt4HZ5HfviFplWZbN+/454NT0M+B9/ee4IeuObE k7jP3RRWi26YAmkPnqQVBZpQ+54TOZXgw6hGKvjcqas8UjhaDPqaUvz2R+Q1 z8kwYg2kLf/KHfRlqXh68fj5yPXf72ZUlIEetqVzpJUdNx/RYLrdR3lEcYxq 0IcARO058TisobQHL5phxdHvs/n05LmfKFJUKRlGtr48qO7YxbS4SHs+gMvk Hlxlk2MrvynVGktuWqQ1TpHuVQVn0/xJP5k2sd1D7207aAYcx5elWhMmIUbP 5W+UbeMeqjZlqf0/8tnC1+YxUYbq3HPj8/PZGlt3psNPVUQYPBZ9cfj8fGbG Yp4XaWeYZJjMutIGptK77TieTJ+fz4GM24+EMZpIfKaWup3+unbLn4nUpv7z x364SHl0jFy5xzPs2GO/SmX6Nksh3svRrL6hX8ztXgMlCgslztH8HFfoGxcW rILLNxsc+Cw+xxgpoI5nTl9kMIyv1d1+vvRcXKQFNRw5h/fl8Lz0TwEi17rv HEAEBBBVp26l4J//kH4qJ/rl736g0nN3U4ceywmAiZGuXeKXUrGF+wh4ibju KhkwoYrlZPn2ILXum0BTq/Ym7C0OTMwq341xUnPiMgI+1M+A/tGNO1nSFZz3 dvCpKW0W0T8+oh+/yky/bI7YL9JbKs8GFoMUWbyC6oybZl/xOYjtot1MOSs2 vlErEatNmc2w0gdvFapiIoWX0JLca2ktX3mNGahNaSqfpultD1Nv4CzwL/rr oQgQCwh8BrQcTGBDXeLHki+1tM0q346hxnd5TUqNBKmggxPDP3QCjX0NJWVE o1nku0/6fTxhs4hh9IiyUFN0peQs4GXCx/0EJCkEKgANBMljF6+Z16w8fbUR LBp3XsBUQ943Bf3zt0p0eUZTujAUgLo5nm7YnA+Yad13GMUCGL7g5807MrT0 V7j2Bfg7CxzK3CrjFoj9nX6vPpkmd+pG3QAjr2nLapcrjSActU7S+JT/oF+1 FARXSsKpAoAMRBW4UKv+U+k+B13m0V4XKygkgbMYJIWERYH5vLPnHEum1n1X 0oMCnMGfzHEAFimHJBmAU1Lje48DiPsEOGBAYE58FRKQADi3A4mUqgk+TH9d rk2XvgBIcOSnn1begvPcsD/duDq2NZhSoNCx+yDmPnwVCR6Pq9+8TJcbjqSR gAeO4gtogefUdrV/X90TNFZjBEfT72jok7/TOeUXgaAyMPELHgANFlQuTgCN BgKNe6S8e9xAUCXFTc/2ixg34E7A0EOCGzSb2++R91fhZnT9zx3cpOZzsMWg RFYlcZSYj/q13exW7/hR5aleod+PNqILI4Adn5/PFmPoVq8VAUtgK+tyFSdf HOMmtDJ/WcNycCCZL6FCXbIEVvlXrrth8F47TIc/60f9ACmfn88WQ0v3i1JR anicRmp4+fx8tlodof7v/kg7uYekDQdrf7EgTImGpNMu/lJfruE2RpZSmnB9 pxIOUiup0jSx5jTWhNy4hlYEHsU9FKMK06KjLHQZJeC0Bs1wSimMCiA0mrTS WSDtBn46Kkxdajx8/m3BpxYC5qTr6zXj8llyLk7XFtzyFW/CyKAO+QRdMfvr fEp7qjQ0qhGA2fzzMaJKqeK4oJvuHXubPgxWxf4h8zRz81lyLj+LZt0pElsc pUEGiQFB4ocXaRnUK+6h1v+Bw2kUvnTsjCqmyPvQQm5OrdqZv97wcTc6MuZL shyNC73dOPOKx/qjNzh4tOQMqxsODhkn6Qf+B22Le6T5tzPAp8/8wAzOZdVZ y8p2pd2fz6GlJTpp7Yq1MDBD96vDHoETAdqZxiiY5+0wqnRILDZ5d6dKK1R1 vWLon38vTVfnMmKDgltce8BteJuq7FYhYR5jFDjU2IXVCMzCLFC3atmM7poB QFUDNBmkQTlDddM/kebnnyRny2tFPoZsrGC0+imabFwPysoFRgFERpziVg/9 QVde/JWOs1ka4nMQ18/+Rt/DPvhs1Bwa3wd+A5bNrAQaSR6l2RmGWL+j+xuz M8aZdkhzcFdtSyTWT6Bds3bSvOZzTRu+Zy8F7rpH6p/YDTGvHT7NdsOyDz9j JG/pOJF++u4srarWx6Aa3wPB7CWS34xN89PfqGf7hZRv1WF+nnYF4o6O3ad6 dlgpRL9x4CityleFCi1dY1KtHqc/L9SgHyYxlkOC6HJ0ZXbUiFYlqMFpoTri gOhXo/fYRbqYcTttL7icltvwsnHqH19r2iY/IzbwwWpanX0DbXjuFJ0K/EV/ KfmMm5oOpaEAd48O1/t8VWTQcl+AoR5bazyN178NmGMhVMZd2/n6rYP7yF99 JiY5rCbi29FQQpxQAjg4EO3i6gH4jrMcuXg2zw+0BiZPamHv5c/QLKgYsHoC f/2LXpZHG46Kw+uCJeVu1pqAPj766mCYvw1aBTRTzcHXDFxNV09coc3jvw3T MsDF3UhIbpyrx+ZbdcghR0kpi8UmzqMadKLtGYvR0kJtaEXFHqw5QFuAf0Ye F8AoDf4k0f4vJzH1KmhD7wDioZd4dn4rYxbMe33O8nw0HTqJJOk1AMRnpF+3 w10D3i2gD1Wly1Nxqb04T9EfZ8HulV3yFv1tn1GXY4ROQDdR04mSOPf/SD+C GFoMokG+GNE0Bn9yfLjRPgTnVr0xNAbkAVrQJhQIqV0v6oUew5vsGXPyldyn jr1e4LjcEgOScZPGxVcfoyXlC1PJxbb08OPKZ12rWorOFc0jEsJrNo16dQgG o9QoMgEpmH6KEae9TgfhS+q07fow34PSL37HPwaO63ZuLwSHLucI581n/Vbb 077H+5psIZAAfIv/P2/fHRDF1X49387ugi3NVFM0MTFFY9REE2OMRo2JJBpN 7C0aS+y9xG7E2BUrBkVEBRWxoqAoAiKiIFWaiCBVmmABBUR9vjn33pkdeE2y mPf9/TEDc/fO7O7sPec5T7l3MMwxyBGQftpySZAmFI1qK3zmHqPdP++qZD+g ZDR8Pq4o+r+HjVVTPZVbdpBeyL+jykjjSCcXNqcfazVgKrdYVRhfZPuQXQwL Kh7UBUYQSQB81Muzt/prFWNuGxSmgQDbn7/OYdNoTRaTMMDtsGJlVipH68cv VPbACkwEM9Q2FjMB73Ak5TlJz/DhD8R8TnfO1aeyNJWU1Dgo61HjX8BEtCHi oKmcumxfC+Mb0MFrmKK0fvJ4CuzUjuKaN6aIz1qwVdOmr15TMdkhxk+4k0aP vh77r9dvcT3vtcb5FqiY9FBBWQ+ezaFG8FHEghLFoD/m0SbHtVYX9D0OJTUf I6tkS79OeXQKcRDpedbPtMy/1NFvXNrZs0NTQheF3ndg6KrPP9Yr128rw/qI IsV2McRUDzBsxGsWoa7FQgEtCOJLBkCK+6ua1ahmlF5U9jSJTeSxaUt3ed6K RZbH8Vk7WVjw+boJe2l3v63kONqdPoi/TtzAmFQQYcOCGK1DQtWbW6tRUjIN 2b6LNoybQlgkBX0ufdiOkt/+hi58OoI8e25iCPv1z7Na9aQ1SSOBaaBEBZZk YHuzT5chBNChx8s5+cql3enwDyPJlr0s42UATj8EACA13iu9wEEDoH1Ft/wB PPWmIEcF0LEetbC3NtMgUKw3HNKL3MAc+sn5aHaDxkXJHzQuk2RgSDJd/rBx xfX6jQuBlrDWv0YAPZKMI0kGijQjJdCFa6rvxWYiVw8qCP9pUKnFIQDdBQOC Hi+VUu5PWbRfepG9ZrvR847rmeGp5wEPFSJ4BVrM9gGV8uFqgrh3GunBkIJt pNO56toXFiN+0sIRAYM+ew8rgn0AAQ4qDPDQBBTG4blQaloHk3lHuWymiZvX so09O8DaOVwqTecUKL7jLu5ECBUNuAA26tbFJ1ZbcwZ2El8P43/O4hNkBBgk E4wPDg/2GEuX321JUc0+19acGbfhT+rs68fgJMm8Da9n12tKhc9hbQ+2lwue /5BOdZrDoWXt1xC4+uHwSQuuZL4HhoArAEiqzdqMwBYbc4pOg9V51WKY3qd7 CTBG6h3HsabfalcHO+KnrRQaeont6wS3mxYCVGADXq6+37g09d3Gd3Nfb1yA tjMdZp+F44LeziPObodQkwx4hTns1XvYgAynWoNJbW5RkGVpdIeSABcBD3nn phv7VWhIBrY3Lgkq36CeC5iIpSC+PxqnwUMysL3MYKK+dfX8FUWZ6twtZUPN CsZiNes4OHKMPOxhR0Htuz/ocdBbXdQT4MGkS2wAEKbdSCYcSTKeIlnlHawF j/Gj6CQ63WE4rZm8kj3PjpknEyADTXTa4tmw38MAEyT/tD9C+D04fObmXS0z D2jBoAJLUg2GK9tLH/ZmGMGW+1ITxRnvTR9euszW68IaTwJicY0/pfwXGnM4 GTmccl9qRpPXnK40JK2F01AXz6pmygToqOvVQA8y6VeLQ21fr7H0FD24DRxJ b/BYF+wRxB5yk4AbSxU8zV5j+Ur9r26AcrT25gsh+moWZWnwepn7+CunZzlA rAEwRaMmFSc1aXw/sWnjB97dxl/9c3SYs3CRgLBLLfrFMvvEI2EyogjaW1TT HMHdr6LczFBnqjnCBtUGf78uh9y86IcrD8/P9uVgY3vTypOlm/WJLhZFEEMY vnvboBRmkmb/cZIWz/FW8WdasPA4axu78Sx1OH2F+yc1LIMKrhLraeR4xXG1 8SpuyUino8ybYBV5j4vH/SNI6wCk0X17JVwa1CcKYLWfu0yrXEhs9R57PlC/ vZ4spOk2cDTlv4zVQstqomq+7IWGdPuVBhTfojk7x1QtwJpUwGLz7DmV3k9I ERF1M0ct/K162TcrDTQcA7XzFh1TbivvB2WJNuabiSp/VK/wwLeC3Jpsb7z8 rp2G35DWo8jAm8dtCGS/0sBdeyn+gzZkwyEb1/hHZkWfALImPWRh+VggWnyD jn7nWBsDq5CVvfZ5E8J2DJANLAkVmD3ms3GomgFr9b2QynIZuoD9rSZaUWai ofUVjlbAcNECj9hFu90f9vYUT1NQeje8SleRNBZo/X1+2R+RrYZE64McCIY8 KVo/vEWXqkYjelx7ePyDpNKyZlFI+3xzokjp1+N8yZXFfqUuiEBIT/N+sIq+ kzLOcMCyvW1V2LYspDC8E35gQLI2R93GsZ4MvcxHMqlDpoAcJh3k6DTxfkDy E6KTJSu87WYpQ3AJvZeY/tgp1v+sP522rwlJWTbC6dKQvuGSARCVjHv7jGTL cIe3+ZxOft2LjKzZJr7xF5RT7wMqeacVFbzxEYV/8jWTru9cSamuNTW3CY7S wInt+LejqatXoBoQbhkWRz+7HmHGVjKwvWnTmGWK3JyqyM1ZyinLaW8fJ6Un g6jNjsEu9OUZSxUjjDHMLsIq0lMcxujDDDIjJv4+CKFvGbGbw7gW28vw/mBP T3yzgEVJlTabFdMPKb9lFq2duIdB+/ornzCYV0THaZIWgN7dz5kWLvCurqRV XCRHBliXodOZWyjuEk/inySYXLx8ocevVHgugoTohaeIyCMDb30OYahYxC/V d4D1haf4FH9ZLWTEDT7UfYqiwUcRiLKaCEeApYo9loFi2Gl9PxhaxCf1GVNV 8urb/msQN3PoLj53f92WzTeOLVmSeUOyXT1FGaDm9ZNT7h8emXIVkPZckuvt uPf2TviGIvqy7lCJi+o2Sma+hytZ1UizqApDrxlohkZW68u+OZGo/IK7yYaD G6b6CcFtUsGN7VD3+WTnfeHxRQV/g3A+R8hkpoflnSnN97D3GicgPW5U/yAV 6SjtQSZxssNmOvPlD1STNctAtXYZa+PqYsh/c+KchmpJZnvzXHsnLbEHMzxj uQtDvIm/HNR2uIK4EdqW8foYCmi/lIwcuKM2BzK31HkYih5428xlunsr0unf Ho/XgqIqmFPe6kheXVfwNplbawSvNLWubDgPJHDsuyUU3GYcAzjO4fZbRt6h 6vi3VlsD18A0+/L8Y9rCTYW+hqbGNnXVVno7OY2dB6TWt9hnzR4LeCLcUznE o0hjKs/qu+cEQ7JkYHsZiK727ye+GgyyBk8RBUIEBxk4ppuF2ATU1fSbmqJA hu5JYYz0cJViCCMinRDOXiNTrqybnFJRgyHZuGXEJcJ/zuNTbp0clnKJe7Gy 98zM0067brkB1JKJXwHSe8/q/MPoETYsJdqGG3M9sFEP9INX3APpeQ5bhE8R 9QCSJVveBqQ/IZTlZTO3aFCWDGwvI72lrQcqFllEZBFVf+gPmy6zrsYN49bT zGV7WHYX2bJq1snzHLNtHSq/8xNd2T+SLjmdOLCUEUH8mAEBQDqqidVYY1qm olHmMb9asuVksHPQuCcmA5h0jQyMnBKWzXRQ7PAp3mbD24LbWBgA3qyytzn7 hb0WlRq08zxjWbjQDPp1OQ20DkmhqgPp/YScqjRgVilA3ZA2h4Q3WWQAT6a6 qib/X8EeORKtkEFUuMI91oqaXrWEcaHBdT+iqX3ARcUvcCaP3jPJr9OoR2Gd RtySDJc7/ZIhGS8OmHL5+PyVoU5Hj3jNzk10NvLLTCtO3bxm/sY7HPx839n3 fPV/NTGAfjxABzQKMHNob95KW+MTKOHYcTou1eJt6KdZbkHClQpPzP9lWpD5 3vXPwn3AsfuYlBypFrfupzr50LnPDygKLZlxA14LHJoSLjPA1/RYnntUH+UC sxyfmhGAV6+NTsksnpBSkjM2JZ8bfhNoBN1QF4j4MgLFUl2u3KHrVYv/fEGJ 4roGKqP1v8wTHPw2AD+KnNS+mIcAMoAkkGrynvt6/U4D3Px4n2rmYngdlW09 Ks4eQnHbwQ7YAnb/zhjCb/l0X+Ro+KlmLLMINgAvYIv4fiAVBYcSFxPywR5D WVGHfsghm0P/T+RyHrfGoCAKiH2NKAxcFhzpNoG+8g/TvjxIA6rBzDkDGZoq nCFfbTiRaf63k/M0owm/ANKBMcYznDdYlFv9CGo13prTFt4QJHBo0n46MG4f bzPxNrj9asmN+nvy+mBxrtANLLRXXQIRyXaUb2tkUc9SfovYGu+hcl0qc9IZ 5o0c+Wc6/Voe12nYdUYZMtubT0+1j1xz7rQnrrQ4IcwNRBLSaWSJ8d+TBTQB yhB0gDcGn6fz2dfpOrbFy2iZLecBlPNoHoJAR6XAuXD4UfFb9dfRCzZ1rTlr OQQJ1KoVv27rCg6BH7ZMSLkj1WYcYnv2i0OU+dpGiv7IjTaNSWA8Atmxd0xK loVLZCgSCAh9BL1wfMpNcAi287+kRPBwgcnFuWgvOEStEWL88KxFZ2g5VDFW cYzYgT6Cx3TIE3IK+EPjFCPnC9WdwGvS07xt0bztlveoZqXDD7ztQyq4pPIH Hoat7GXwyNmd85x6lcZ7CfTbILAAtwPKA7xxqlMvdsyigmJYY10jLGGpyJIP HpthFf6xnjWwbRy7hMXmxd3Ev4vmbaykPh7HGq4/r7M4BAKpYPhhzmc5a4iA 4YEROyl6bxgdmbBX6cfbwCwssI+zalvORRRAzyQFV/IpKzJT74jIcDrAHMya iHGOHIla3cGZxNpQgqhAqKQzbHkIfgHlu56ju7Fn6G4M/q9lqeRjGWTdCMT8 XG+78ZxRzJweTnf69WFUp2EFXITwPSQIpAiOdEwCT6TaTCK+oX56kRqpd9tL e1MV+QBGUb0M9NEkhVBXjeMoTstdi6DCR9EUXZVGYLDHrw9Rbvn96tKIzXc5 dEwfDUAs0E/xKTZPSLkr2TAKUcAay2iDH7G9SaUVbMlvbyXXnyOUe8Neq42g BOjF/5eUSOgR6BJce+fGSweCB4VfjOx2MS71p4vpN/tevJ0yLClN1Sfbig4g 4ad+RGQCJDPni6tBVyk9LJ1ziGiDfkGkgo1ycbuRZUCIwsI11ma/BbmgJrWK YDE5jVyjzQbAXzgyKskgSKldo5qlhmJpTZkePehI6X6MXoycZBDXGFMR5dSV UrzEz1wLK50e7v8DWwsXG9a/xcqnWBMXq6LiGO0KU3z2NwRjRLZcJZfhWw+o FdeIYSAoqVMrNnFdZtKdlvM0csl5eYTySy+v9ACY+mk3aMrqk5xURHTjzEpf KkwtoLCtZ7U2hCo/ihZK6imLAUS2XEcgNhddL1CIU7AmPRCmhDRhPzM/j61J oIY4sTGysTbf8JF62+kB4hF6TjlJJRcz6H4eNk+6Hagr53qLylL0EgHyAvTA KMKW7U1wa8Ad2IJ/nR0LVaJONFoZdsbDt/fUm3p/ZvCOo9UnFnHb1Qgko4Wa lpAGZhExPSKK5hH6qDrTCEUxVUjECBLZPsSTfp9/inkA71aLR8yoeqzEI+43 fTZOSinjcUo5srk3Hf0+RE8h8sVPPDQKkQxsb+Ntd0qjGmw/77z2YJrLiXTf X/5IkAypLQemS/K1Twan574zO//WyxvvSAa2lzObeFyPsQtJ0MkX+fjwlPhf 3PJ5nlYYYfg5WvZf5nvwSlZkFrkPca+kTwbuushnbAuaxXHVygFtFq5uUD8R 1YgYCrKTWgxFjAgESNDOetjyfr6dp1Fsk26VztX7VNWlIl4nbnyR7ubBb8JW k+7fFTUT+kAL8uJgKLAT/utHl3erdwjrM4OBcgd0Vz4VW+jdDMmD506Dvfzx 3HXOUJ3/mqBkRFLBP1BCaoBRjbAi6Rn1+VgqeHM8Y6T0N0Yrzuo+qmMhIxQu cMrh+xOzD9HeQdt4m4G3qQV17CxuImwROwEZIY6iEg8CKF29LrFJNdwqG/Xc g2lq1tJOMwvtwOvRVVUbXenmCZV2nKjoqK7YWoukiEtC/iGKoo+M+nebRNFz HSs5TCe7TyrZcuAAr0oVIZX2xfkXl8zaUOnciWvdq09B4rcDzahhFdVLAtWg DdoFXpRI7qKWW2Uhdaa1yFeZGl69wZgH26Yxh+m9RGUcN+Q320wPyhvRjSQc 4SM8btSIEuKqM7E/irtbJongKujn8ruHyP+rAMVduUpcqMgRLXZbGEjme7St nnJRMYXIxAW2G6iM4eAvB1ZEthl4O/HTgbngoJyPFp8qfG3lTZmRjymlpVf6 0REpSTvGphTgwn335GuSu1K5kY0lkdpnbyQnF2HRIHbUfthAwVY/7YMRimyJ nLQOia/kzqImCd4QlzO8n/9X4xRz3kwBUGuNQRCp1S5aTY+J2wtjXSq9Aa8J ggaUYcs5A4EYaJm2lBXUjPKjQDBqLW4Dun1NDdRIvL/MWKWyxTNjXU/on8xP 32ePk8AzAHRPGsG/ICAyST3/Rv7IcJ4QddFRtrHf7nPk02UNHeyxnt5OziVx 4+EDIarCCieMFt8IyRvmHzVVWYdTApu1ai0fiNR2JddGzEZaQTf2LqUCd/2c O/g1mMCss9lmzEtTE57YImeuo6LoJOLywoSXIDEQtUXwhVVFCC7A2+IiTIII Lpi+Ykf1uUC4h/BzIDUYsA1sz0KkqFhnPfhqHUY9EaCX4G1gXuUAycD2isLS reBTn8PkGSq92Y9id7enawEqJ/wNKZhVUgAhoE4WrWM2ZROXJTa586Ioe3wo 44awlifIcXQikx0IlkhGRgjGxPccFQsTwu7ib0udyIZxgpze2nNh4ucrjl15 b8F9yXD91Y0PJBNO8OwZrKmXoS652nhQiyn0ygOREygSVkMozAtqpPQkUC0O EDiGstDUgFA+H4dHUbvAs9Rv9z7lDuOIv4LoKybWCQ6wCRyxmtInL6GiZxvR racbUna9jxlvQIGoS65YywliOtgzVHYTwB9Iibuk5zjAu9PVQx9TXjj4QhVO rSgnVIu21OD9hlGss3a95yxIV1DfUEcOj0U66gG0NvEeKJaA8YdQ4M9CkKED GBgNUADWwleUjiFTqWUva3JsYY0KJD1ZXcLTFrv9+/zNpJf/sMVwI5jgEz8T ztEmJ3LXwaxfo0B1O3Ata+sbBNMAevAQUMmk1oq0iMiy4E7m+1GbL/BQggZv MzPJ8hvpN6nKG5lfp1sZQyhKIe9wp8501fefDbWM5TCQn2TTQgzq7blPcxZn cP/AxCOXbmuyqDTuJtuutj3OQBrbxIt2DopW/t9G3GWQM17fwCY4MfIVd7FV aAyr5GZQNbB9jZDWg+hiyyEVmS33219r7Wkf32b9vqjm0ypwPq7k3v+CGsGQ QRFVRxNmoaDciR0J50oFK5tUay1SxaLPKEAEsABWrC0g7gSeg4qCc/+v7JTb e/GTL1HlMX4aK0BHt59dT9CZzoPpzgvvkgEAleTE9z63rFZQTYiKpRQh/GGf Gehestjg1nQ9hEFUrcZUnAJAl/Wojf0LVn5rMd2425FonsjAkbULvor53NDC 31HRMZ0dM6I0CHMYYc8Q9hOlyCBrFAywogGxigIKD1RoacvHiAEDWK2auqYS Y1pLATB72todwhx+cfaaBVdGjqsls06QBiGxYBiCGsDgMOeLzPOuwbsimodL sJgHV5I2H1LuJaBM3brSZS8rTKAM08fmHuq+GuA2dVUmh5uR751mpdAd32y6 dTCdkpocIRl4k4zZ9bYqGnEtxTWeo4jW04J0TPhkH0Vn0KCdIbS3jwNlvYqo Ud6LQ5VPeuONyTcrvgiyL3n7oH3xOwftb7y7fcuV96bfDGh/kFTnf8I6HcLE rEhoYG16urVJgZYquRUxJLGyXvEt//x1IgFADES2bM/aYAL5Ed+f+Ka75bNU Ez8NeBtieKr5kl7j+OlNSR7vU2ECapW0QhS6dVXTunV4P/a6ej1rH/Ym4FQp g2QtnMQkDOTdYL7YnBFuqo3AiLrEEoJj6lSShNTqK0MxA6JSGZwIFHzlf9UC DxMf81tGHCS068fph5dyCOYIr0lPsX7mtROP0qcXLJMucOvbUlqQEaCQZGth UWmZSfE1a9x7yJw3fZQKkhBIYGgQmIj+aD8VPD+LrrwzitoGRamFJu9cyWXp lW2/bFeO9vRVHEijZ08UQS6iaw1QBz72pgxQSDaARVor35Unv/NIO/ZdEG0c m8TeFTZQlU2VfltrY0sCDoABW55NdzMxzDU4CMty7vNOhNmEsDro1SQ2XlGw A4kho371oCC6VwoW1Wd7M4Y81J461PG3PWUGPMMRgFOqjQBrlyQdyttUB4it XfI40fi4czvwtu6H4i3D1YZzOoYlHHh4KSun+VBdi3h67v7dO90p8RBCZeHM kMbu/tshKe4mQmRVhumz9bLL2ZBcuCCNDRB1OCa8f4jCP/ZQZMIuxQXcRhht OS//Qie+WUmbR+1i3PzJxWu0bOZ+RfuwsWjy/X57WtpnAfaZLf3s8Te+4wV7 yXCp80V7yXimi1doZPPDtHV4PBuE1i6hwhdcNI7Z5MJn+xExpWLgzBreuiMV nvAj/JVE24KFS+iV6zn6oWnE8Ptj9u/a8KzmyBPlYxhVIF02qN7iQwsjDyQM 0SI9+38w3FqrrFdCbYJFQUUj3gay1RYasXZWuMhfNY3Rae+mfzks2fiDyJiy +ixJz/M2j0l7sjdePMY0enXH5IFBPxJmMOtJ6IP4bDbeOMOxvfnk18vZ8aJ5 hwk82MXnkiLUnYkPPdnrJ/c0DDQ22ExsL5//9tTB0M98SpfPSLV+yR4eO6/T JDaf3kq5SfMWrVLotSt9fTKQvY6Z0OAvDKLoLj+y/6Gm2YAT18MxG4q6oVPN kQZZrHmqb/IQFzxVhLZUfkMfSRAcC3f9j0dco6Rs2v/TKhrgFqRG4xjpaf2s zbmLEbd+fCR1OpVbacQN3hH5H3YbshYhXNZDaANoV4RyWY9neL/Dc3ddOue6 xcnn0A7FIvBRCM/RilFoo85/3DOsL5tLj4nCK+dNYzOtJINlHiSbXIwztLUe /mOkyrDO7QIvV/q8mCGFkct62PB+x37yuKwNWTMfstGdzjlumpDCtbQIXz9z h25+lETRX0bSmUHetHO0JzlKNnOdSWFVHHc7Q0daJFIE+ln7mE6RIfr8XKZC +MeVUTxf+agXPv2GUNG12ZIh4iPVjGp3rD7Ud89BGr51F0MD2NhoGfDapaup b8WA1xfSSQ0sIRyEdnRELsNX1PzDOv9ng9/UOC6DDX5sM5YfplolZVqi9x+v wR13xaV5SBj02IZsh/P1UCunqENld+rRneyP6Xq4ZGB7edFhv3CvhbvYJhnY 3ug5bfc10O2APdEPoN+0WtxSxsgMCXU4enYM31d+YsV2P2ACm9sZTyfJhuNC wwT+PE6s8F/MRtHWdz+5qIhfgY9jvb+jr/1P0voZ45UzGC6Mmd06UNrnTdjr CKGLj9Q65KoFGlysyvMWHbXU/Yh+gAogwyUE73e8x/7oqtAI6h1nv3JVxVJA QYVy/euU1vk8+TJIPMMgIQ/1IhfWBz2sfTSbmB3W6VSqIlCOKeJnPiW/PZA4 JMy7Bo7WVt3AX0DAo/dwMnPEeNv1I+gThpo3n2D48/FuHEMxm/Af/Dw4HYJP G1FRkubS1eJDHm7e/3jIm1uFJmtDHtuqqTvoxbxbZO3SRnzUm58rLNdGPbaZ yxIJbSIBh4DP+1SQgNge2FrIhz3++5zUgSsZ2N4mYPc2p9+z/FlwAl1xCoIW L1JJnuphwaGDweCuHN97TDpGMccS6fDck6zdfczemwGOzh78snLQrq1O028F s8uqdgO33wp8mF7LpKKFC8gr6aMpMYvt5/CnmolHfcNWQN0AF4Wr/yDgxGnS SDUAjHGv4cPAx/3gHbqHdIqfHxUA/XaHMrEjTIwR+Ij/Pso+Z2KmfWKPGHsj B0pUl3D7Vavu2gMI2GAZbMupVCCt7i26YRdM3pN2k4P0AkfL+L20/t00UTlq 7UDiaKnR7UgSQ8vld+dS3ovjKP2NYRTWsgsBFYBHu8BzikPOMeI8bJLlmz2Z +lbDh/oQyASKWbeO4iawEKIgBYyoLnTNh/WoyfsBQ/9jvMhf+cdqWJEMbC/v GLyBgCPdD8pCcjAnvT1CFNf4FBl/n+/BjOhxxbOJJgh7qx8mLELCeoxJBraX l8+IUYTynUp3HMH0LpTswwa5LR/wB07s1pCmyqcpxeecOBJsh1GEc0dK8WtI RVeBClwI3wAKDG4pF2kmv7XBdONaEUV4Kjdhxu6rZ523bpd0AFNxqxog2Dtr ANbgGt0AwE59G+w1cBddsC2l++rqLsgsIfOMwtehbi7MMKnz2DuditfQBeTA GqmxU1ggII0hiiPP6Nfd60zakGT7eyvv2meNTrOXudGJ+C7S3mF5sT0HC9ub YWxezRMF2crWMJOu9jtBu+vxTkBY1d/HWj3244HLDFFp9aezYOc4hUay6/1K 83/fqmkyTDyCxanJgQVpVhUp1QQW8uMasHh+3LjLySloTHnU1ll0efdaSvV+ WsVb/LoFlL1wEhU7qCke+CTwTfTpdXjE/0W8GdW2jn50/4V8evjZYyBn5JAD pLTIllbhVMawxZBWi/eba7+fmkVd4/2s1c3i9wSuNLwZOd7aB+RZfggRXH7q 9n2GQYZDA/aC1GGyEMFhYKjJ/WY9EPed2us0+kGY+pqsohAA1vtAc+39K6W0 3UYdopOrgx6ccnAPkmQOPz8PF6ffCoOcdKC3Fn4130ukHMBP3cZtIP/nC/jz Vnp6BtHePn8ojkGyWFzZ2NMzXEMcAkT8NtjAhMHcwQMC0ICt5D7x9rHfhqvx Ifn40GT7xRvvc6SZOJR+205LG6dQ3IiDtEWy5W2rVt3S7Jv0HG+Dnat6662E nO1Ql2gNcgBcdr1JdKj7TuYWtQtMt2TN7jPZh1iAJHRfZPNu5PrzChq4K1Zp m7byPBt9key0l3NKqr2OsyBpTDvW4GjDff+o7pOvRYxbnJpRVHAjje4VnKSC GJ4e4xns/pTpPpVur5IMDJnyU/RIW5NCjYkjBYeUm+66MmKm/0WcaguJj9hC 9+b/TiWNkuiBusYX7J0GVhPfQ1O+mlXIdCUM4J6+DsovaAGydn1rs4CPA6iJ A3T41lSqcU8QgxiwL+WWUpvgAhrglq74T0lkw7qaV0+JptGOVwmYhm1F51aU FVqHocfou9+1EkqfYs01EPKCHkVNGc545fodQggNIFU1p2oTcQnHqKOVQA5S sAKUcrMoylABKRnYXv5tKR0HWPu7+ytkcPT7eYRUqE5NigEHhKroFPVR5h6n K7zXL7lj7zbtuv2eydn2TgsK7ZeuK7PnMQYT0AdHC51h95h8NHPkOc9Nt09p s5uj8XnepslJbNUrWTWpaMx5eQJD5J6+kEZoUUa7Ai3mMotzYPkASRhDAPLe vlBKfXMI5b40VpGhy6kWO022nxtIiHOw0x7nD/4zIqF7tIyDQGSs3fj0LLsp hSUDFpdlpaQWpdDdXNU760gZfl3pthfH4mMQKYQIonhaUtz8P0GkrEekZFgy i0pQvaBbyYmXjZognprGxdDwGIXASoqZOpVsOBKdh20mmFqGyOd4G3tdvYa1 brZAJ2LNGjrNHJ1zFidQg2sllUIDr2bdox8PZNHCBXHKSOL9NkyMfLDxWJDP 3LxgFgAKF2DSLOazHIywmK0pMwTeAK4GYKIN0nZ+TgDvK85H4KXawDOyvXnV 1AtJgJu6TV+xj804F8MJ6TqGNRyJekSYK82E2VpM3ecxdI734Hu4bmpfIT5l j4nx9pktt7NNqsXbljvcsZhEm8eo0OqB0AhLBuykvDWT3Pt7koEBybTtFy/W jA2gYiZO+Lp1b9xjZtBtwF7y6bKVAtttUFzAPfSUBYOvZ9yuoslKLQOoTvVw 2cCCHy0YyMvGzRCtwGaS3cTrJXYzS+92n1vue+pEtCj3QlLwjZJbN6ZfSjiu 3LlLcbskeXZRriNA+go9uK7KB0AeffUV6Tj+X0Bz/HoFmjKHZvdDVGasEP14 fNHUNiSIXsrLpTUebvR97nUOQzODoRlGk8UixbWhaAHXZzhKmeB9QpR+euGG BaW2HKtavF5s6IOAzrPc0B7edMLXf88hJ2zbLpxUQHaRhawAMshbgI4d1bUk ieBYsjA9By7zUa0BY/sASqoCRvnEN4lekc33X/C2+/2+agU3j1rHn/NpOdeE RcngPf7sepKWzHJhMlaSWX/TqU4ri45+v/GG8zC/pAnrUpI6nXqQxN8NVaSK Zcqh23qU9vCngxr6zBaR6jr1nMv24fNuSIbNo6YSlkaYrZDwTsUTDdPWQ4br CHfSflO5fWDfQHuZwVoBdPF/AHrhnxWKpXWxX7usQCMNZASeEOSyCnIAXFhY m0PddyiWc6mGcmjglmHXaezGi8qH5VA+1WkrJTWyV5B+QHlPzgzrJviyZBmu /O5lVP38+Xgd/s91YpUSXzJ3KaflntsJSGOLsxufkWg3IQv/7964ORhw51Pa TGOLLrpPOHUq3t5+R9mRXr+XxdjNzJRMCXYzUyU5dOiSuDkbD91kA0GMb1ja Km/1P4P49BUKxI0c4qMd6V6dO/SI9RClk4Bx1dgRYKw5qGLQw7FF/o3p5Kd4 v6Eu/k+McWjfKhg3Oo28QE4jfRS/rohZ3ue44d02NyRbxbZkYHt53ylvhnFu cjl+x5WHaiVkKMZFjAnV1Koqxl9oaRjjp/kpmIDxhJA3AvJJjfy94hr7+AG6 HPU2B378nbr4WJZBeDHvJo3ZhNrO5ao+NoIlAtqvy7nw6c64mKaHz5pwHUmO aRrstWNwDn8Xme1Nc+3pWN89FAYFgBAU8m4q2AHeM71PLY1vNfGcZBPa6muF J/069lB4cR3LFryfmFIR0HXZmYyW25Y+DuD8MqYlu2gVLHlO8032WZ/8ab9j 5hWNT6AOOvtH5zaNian2bHbYXhXQAui2AHrB86Mo8b05tHnUMULeA70B4lVT /Yh3Mwa030xZr86maw3mKz6xm7Dmxvm/B4nHpiykY9/NIeuRzsLjPPDPUhgo 2NZPfdcjXTKyfY2gkfMSZmaedUOP6eF+px3nbS7wsZv9yNtuNp2xm1Ucbzfz mmRkMLdJ6DIjFf9h87ebdQ99hmz3JXN5hXbfHjflHuHi/wXsZy2hu8ovy2CP /1/PoIesB1+UzIxMoj7FAnMNay4uA69Y7aKGtwJm7aaLG49XaoMXrYW8qukp d/HJsTAAd39t3AYEUmirlQqPOzKPGd4xXtnxc4ByHqeDfWtOh2h0IPP9qqQA C/Rf5dgeSDG7WNRKh2NMstCiX3WqxwHfH6WYKhxgOvtFFOMAbJff9TsW3GZL ijDnNiO2+NAkh4OaPj/23YKHZ77clBHRYl+YVIsjfl+vdK+qUgKIX7mUli5y pAVqPMp3oO/6qJb9shjGa7C9aexGZ/r6ZICievtQeMtuxVdazj8iGTjM1y4r tMBcXONoCJ3ILqDrEdHlYZIMsEs2Af1O28O+o8fm37PscZzUbqd9cvNfzkhy 9EfNCGt1d6duR45UiuhYSwHLZp6uSgEm386bGQVca9CHTnfoocihOG3ZdBTn wxM/8OMuOvPlWrracK7yWkmtMcrZN5+ZSDFNlxC8AakGJwSP3h5KX3e2hX+8 kGSrWEELFv2xaDbZnfQWybM2F4Ix9PN10VTxRLfn6GFhU7ofY0el3j3pnqcN 86xrDqC7bjhsR2WBH1BF/Av0MB/yHTFo1Wufn+jnYeKsEmM3ITPUbnLBn/Mc 8/oePnPPAJKQZFDKBbvfbnC9IPYKnWR+MSU1udP0VMnA2oygHJyBbfKa/WL6 jAkJJpVVsLF59dYa4+G8rUlswn/Ea/7uXMYrZs4ui+ZRiebWC28KgfIWEVTx 3TEqlwwsAFADQgRnqBuO8Qr6oK9i3FQKMYGNVGaavOYopxgx9BC00wJ2QrB4 DdlEPqO3cGqSLQ6I5p887jmL1lITDxMoQ81HcS5ns0f34flnwpns43mWct6Y xLs+/dcMtfe0j4Wh6nHmQW2vKk7UpGszyomCQGE9hAODNmsYSnHhoqqyiZ6h JAPb28JR8ey5/H5Hv0h2/rNFxQrj7rsd1tItJvG9k8frcHJKeD/Q64/ZFfxy Jn65Y0NotN9AGrjJnqapkQFIkmWzlpcyWrJl+5rbfplA+lFV504xzf99BeHV yFa9c5Nb2u9zXJQjIn3Gy+l0BdyUm1memdtq8xJOTybvYSH2fgMDmTLBltp8 4hHJzGlprv1iy5i1tupV0BLchiq0JHt1daLL737PnioiHo9gg6eN1L1RyOqI j37fk2KbdKbsej/TvRpDlJv+QPEiJbnUdiCd/2yp4sm5a9eCZAlus4G5K5IB Qkayya73G92p8zOV1PpJob8fKOP13hTVbISiDwsf70JVoixb9aV9Q3ox2hri vp2uv/cK3enXlcJGDCAR2KtFD0taUnmY8j6u0jOMpkyjqcSxK5V6gaKepfKi Dpfi8iXjabuZpYrfajfrgduApXxerRjS8E9dR64pi7KbmS30jTFRIaSczyan FraYyEiJc5JZz0mHui9gH1ymhw84BRv13IRwibW0NIy3Dd6xhw7/0J/0+PhH WrLltKRo5jJGKZZz8UBsahpDFT09qQyi6CmLWwQG0muwJYrYAY+wiIcwKMiP f3csgvCaKoA2j9rC2liPxz138G+KYVHJjucq4inJ/FnJcDTCCWv69NmboaYP ah/qcYRiWqyl1HfGU269jpTe4Gu69FFPRT8vYdeb8Oc6utq8IaV89B47T7CQ 64Lga1VZaFO0n4WFXubs0pviPFghCz6U+kAzvU4SSQKUhlnDQvBWqrLQxU8u /AcLBbaL9pq3qMz37WTKQ2hDPW/7kDwveEJ1LE6R/dyHehaq4fMzjfTvTwOw bZtDE0EiiIYYH1AFmObwD5gcxx2irK07KW7wGMY82HYNHMXqQ4QU+PHAUe2l ToHxubiM6vw4edH2i4kU4X+4SPnUjJLMiIRsm5OqqauDYyLsL38y5rQNZ6Vd Awc9ISuZOHXAxRm3YYeehmqEtO7AKOjj8EhGQ1HNFMtRvx0VPfsVlZs700ND V+XuP/p/3ZSv+9DQjXJf+llRV6MorZkyvufso4KeW0lmLGTMfWkK3a3ZV2Gw nnSjbneSQUUoJJtEGHrs49T+JzLSXmKKSbAGdNPMixeofU62Noxs6FHZF1R2 djwVr5de5OmI2SGR/qANyB5JSKBF81xJi8qKCBXYanz5rT9d9/keu9R9zlXO OKakztNT81tOYkSELbXDNFUhmc/Z/XZTZSNc8kUqzutMib7CqkOWaet6WEtF fI4FK+Of//tyZZh0VAR3L/obWKMNURZGLjU4xUxeQ/c0F0zg5IN4qgBLQUBJ dXk/iCKWudSJEVAMBA87qmsRQajkaXAtn6RXrfwq4scD5aybsIo/DNuGP3z4 wqcrFb2N5yMEamU8/p120q0XxlHxsx2Vz3yvDoZ33quf0U9H9lPkl82VfiAd HoxE/mTCuitqJEfeu+IyXY26Sd7bFPde5jLKe9ux/SofYTtx4LDThNJQJ1EY MENx1zRqqmMpoob4YR9c2EjQkNZPnIt0izXUNGQ7natCTTUjm4do1IRtT99M 9vqozRSIqOsXZykZLplId4KKDnVP8YI4Ur04MJZ2WU5RphODabhKUdjG7SRX Ebi1AUUhRnP2i+8oWqGqkz8OocVz/uBla2LdPXh2eF19+jpqrDuE0elpO2ml 8OiM4CGwUuzXHvYI4Bh42BZdkAp9vqCApq9YSWEtWxHY6V68oscMnKfOftGW 3r0sSsWtfXgS4ykRjVVzouAlwVNmPPUGT79RT2gbFK288WBM5u2g/AZlNu2p wvgVPZC/YZRlYIxVG4xV9OwAyn9hMN1vOJwetZ1K9z+epLT9ShBNhc+NplLb noyyCp/rTkZOWYHtflWG8FhiE/ispyz9UHqNHmSOpBInRkwvcbHkeCr4ANgk 1m5meojdb0V9DgeXqgF3Iz2q6Exlvqwnr3cwIoVzaI37mZSO01JvfDIp1QBS kmre6rE4s3Dz0UI1JqRSk8vQldSiKC11GJ137kcRu59VB3VeuLYwSF0rfw7+ SIgaCOuDmjaPmkKJ77dUfu4Oio88jlZMn0999xzg9cPagtEZtK/XEEZjMJAd /4nIni2ih4yaarG9qV0g3WejoIIIXh+ITXrZkkGqeovZlA217XEL4v/N0ubD nI8wkmIUZcv2z8Z/8IeinB3YFv+Bk2Lpfci/wzZFy7UlUFTZq+3Y35KnW9AV Rc3v7TOLXRNTK9xH9CcLZfFkMJK/+lKNUMXzy8u4S7HnClTiMjnNCL3pt/uQ M0jr1L7DTjNunlerCY0TKMolhm6lp9HdAn/Ki6tj8ezU/K/K48j1DhQkpxYj Ijz9hMRljmscxAgLTOQ8rMALhRifnacU8e1QLDV8K53V12osm1nu5dU12Qun ChkmX/v4gld+t6t6acY8Py0QbYO9DA5TmG48LQUx6scpxp/KUuqtBf0gEYwi X0nQktu0RPvQH7zs7TeVMeWEag7kkZBsFueZQVm99u0j52HD2QYnD22Pw/df zxE1ISms+nfY+uzVvBvj1FXrmLhaNXUWmxvKm2vDB1bDyn4dp9GVd/oQJ6z2 9OjZ79nfB3Jn5W9XxlSGjNdHKJ/h+uvDqPTNYVT2dF/Fs+tPeYrKufnMCOX/ XoysTJysQloPZ2TV42BAtclKxFSgh0A5jHZeZvsaKllBH60NCd+LVhAUSj6Q U2ZeoIn1tfkzMcfh3M5oxyujXPzyP59xBTxV9MWMtKyByzKFgJIRhkIKrWNR QgQi1OdYpjTCsl6RGMpYAklrszZqLeZww/itnfibjoKkmjdeaEA3n3udIlt8 ybb0Nz+gjDc+oJAvOtLYzX8qw8tXMYZdyGgFY71yXTBWbUvJCTw8dvQcb1s9 9fZdNQ6lRslZrEq93ldWfiejRVKFtB7AmaoG29e5/O4SjamuvLNJGc4nqX5a Ae0a9BvlKCx1vX5HivvwRwpsP5Kdd+y7yZqWRjzSZezQSu+BhLfGVpyZ5C2/ XSL/PRnkijIVUQ3qMv9cxnHPI86zbpxT9ZFpIyWfAEOp2+8U76m6dZjLUJfu 3dBDmq+FIdw/c/WoapID+VUNk/M0WZDXhnG3WS117WLFUoixruorHU+ZILLc BmR7wUVM/iDICxylchPa1k0o5te3xd5g4Sa1UlTNRaiTv3VmxQwnEVVlXwWn pL2TVp6G/18qpFxrvXexyImeYzAfgTGY8vn/UOemIR8NNsEmGdi+Rlr9vnT7 qS6KC/a1omk6KYPjJ+XHn0GnO8xUSGkSJbw/VunLqMUc/8EcSn1zPl1tOFOx 6ZMpqK3i0dXvracUj96/8WUhqkkpojvi1XDNeDSb658Z5TcdVJpZcOumw7rU XAfJDPKQbBYXFLI29fVdbseOg3pWh0e7q9VmcPdAVdBVatv0+7cdDgSlOZw5 eEXRTWxvG7QvcX3U0hN7L4/b6Rs1fO1Fv5mbLkJHTQ6JOg+fTebsA51UlX3U yQBPwj5jN25lzKNnn6Ln36Cyms9T8jvNKeeVd+hBjdr0sJYNlT//GhU1rE+D 3N1o18BfOfug7r2w6pj6y7d/K4UeMHqpyalGseOlICj0QDQKkSjpWU5Abj8H lka3Hl7Bjmx4GwLp2nXbV4+UvjxzkW49XZ8iWnRXScmkkhJ8vUkOCbyqUZBO Z98LigWcwUlMxl62sFHVL/x+wm02kxD1qqrTh7rV94tvsEWTVOaZRZd2q6wT T7czx1DEVtVrw3oWEEXsii9aflswkn5CN/pVm3l4+twIJgHzrJ5y5xiYRpwO AlLjTWpoG+IIBMXdQtE2m/aAXfaMormqiPr2OMVpb23tU1/FJHCkuVXCUD82 e8S12k9WeauC/vx1rZ47jFmv9mKB45yXf6Rzn48nE2s2/z5/B72WyRdvQq14 n70nlZ9xOhmgNyT5yhdjqOTDYexMycCpAwskYoE9PRdUkzoQT9bUCKcO+aLb aYf9Z1McfH2uOki1GMxlwP70igPHXXxC9gmXqQZUCat4E9eEW6VGiRYVFvLz bdj5RhAPzppJN5ctpYTfTKAFaxfw5Zi3+fGAl4Z5bBFf96D8l96iS00/Vzmg TsZbjeje84rda/IWeU0bR+qYRwg6qvkXlPxeE0p7+12avWIpdT96iD8P0Vrw i5A0ytK1OLP48RHsgQ+ly6jV3DYi8h6IIOGT3myLbTWo4khPt7K1k/LvBnyz tPz2a288utLshwfisnibJ+QI23rZ15Xx9LZik16jpEbtFOU7muE/ceM+Chm5 hGROG/5fjaTYJvPJp4szq05ntKFbgV4LJxk4eWizuLHVsjAG8mo4H4skYQV0 lNiiEF7tCx2CyjxBEPMobq+rIjsQGlI9JsxF0eSKmKwGb0sLCcnVIw1VeuhI gzHBklk3+HwTMeARpYay4AFo3m//foq4nk23/PwoUfXKwBh7f6VZ6jWnrSRf sE2b6hHFu5dvcK/FcgdtsOqNR297TVSAEG5P20zZR88rX4exgaILN9Jn5xP0 X7EGfg2sArZwgRP5d5tKMd9PU/yUHowSLr87mLofOmtFBupxNGAGlFUawDan pHjltIri1dznMAHNhwKvOeT/4e+QuzTQIcw9zkGqzZBtCt4dtxH/+e8J3zLp Ys7ZFwvLKlRE9QjMK/TZcXkP6ymYYGdEpsMCKli4m+L6/UlRv5q4QEC2SftU b1t5k3/ipmzymk0aKeQdOkbxdr1UQpARPZm31J4SPsZT0NneZrD7DgZ+7x/t 6NoHDajkhTp0r24tSm76ttpHXrJglkYe/7SeFMhAb+0VaVym1edZntdC35yg cr2rkv9Wk4e332z46M7HLR9JBtCBZEr58NsHUBBBXy9kBJH53ucP1Osiwqxd t3quzbOI50U2/4yy6zViLJFd70NFPfxCKTt96OKIRRTVrJuiKD5WBuN7ymBq Rtdfaa4ct1DOaU0HfuxLXb28teJXDMQlszZpQR1Qh5o0Qx4cLoY+/PsTxe/H DG0WSRFTBiuFfw2Wfv+MdTMHLcw+m8uJF8SoR9gEQLXEOyQ5PJzSAO7MDCri 4DYsmk+HOEcg1sLKcUXxKO7uG+niDls7pU9AXVuQUocrRCOW/uaswTxysiNd 2nCYuBRQSMuNPg6/oo/emmDQ2wdEagzBahCfCNU2KHPRo3rtteLFB88Uz5p1 r3iVqukdk3KYng/xSFCOAHBJjnWOYG0MsDXZvgZg7NvHtejiJ7Np05gwGrU5 ld5O5rMtUOGFY8mwduIl5bPsWR0fFnAgaT0nCA77oxFXFnjQpd7YtlLUcAF7 TCOsNux5wNQWASvAGwFTbAiSqqJ+rNNG4kiusWXcCGbmvwg5S6e6dmJMcPXD hgz1Wd2/pcTPmqqoN7UK12k4Yve30qovGtJNFkS2CRaDUPRDfggFMbwH732w t2dZ4TsfPATS0xp/9QAyQC3Y9+znVQqU64txwBTa56ge0msiuxjRojXbrrzz EdMF2fWaUED7AQqq36VrDRrTpQ9bkgEdsKY4Bzk7Em0bxk3+Dyk7beUuC9jF 83MnOTrQK+W3bsCYo9hF5xAg3YPss0CWWY93bJAHJD1+SR01TF9BD6uadBTv af2esfRTkS8JdnByojOhoZS6ayedV9s0sOMsscqG4sTR7D/o0cfhCuitjRx0 5l8JgYHflrpTf/fTbAOSkf0UZQaoFAeI8dKTAfgpOPZ6AG+6UrzI16d4uvfJ 4hn2N4qXoU0FcLDX1U0JZ9IP5i8LXC9wnLL+vEOw52UHnfmt6b/viqPb8vgY INW38yaF4/tQ/Adjadsv/oS2Tqfy6GfXdDJyKP85K7bwxM7LbjqXXw46mLQ6 5mD0grDzkeMkAwAtyTsoZjAQzVH9L7A9gLctWLKQAXW461Z1PNSAOQauQ9u1 YgC+udWRkjq0Zv12jBzMzfU/rIyKvAeDmNGi5bWErhqhjacKtcpNnfC2fEZZ CXS7rs3ouYNKs9Lp4THF+YfJFthFbECbgMOfWiFj9SksosqOrA11CNmnxzO2 pb/Nozp3+LIMsMonv/6O8FAAADeq2WdaP94mRtfsP7bT+wnX+IX5OK91ueW7 dHBgD5ZTQQt8+PZ5cQkjoo+Fr/ZcFT427GB4s8KUDFZUwn01kx7GSIJUJciq GMbyP1VnmgKrWj+Rv0dZPBISrEct3g9ZD5yvw6tR+W3Ifi49XPobPfz0Aj2y FrIDeRsgi1nn+p+7evF7Y0cq9dPj0QBASjbHTxRPd7x2c8G5wwnLIg/HLbmd V5xSWnQ3+35STowk31p3aq5kurnGb2He+kD7WI8o+9CD8UtDDiYul4zcSnpu SAjcPeR8mbedL4W0xpOr8NiUuzWV39ZcUqurQtGzybPnGnIc7ayMgGMKXs+R zDBqs37ypYoDmxL8zu2M3By95oRr6prDG9LWHHSIOh06+e/wibKKf4NPSGhW Fy8CssAf2lbNnsrwCOyi7R8WAceKDDpbKWMyG9KVeoqH3dXca2F7o0KpIieL HiYnKn7z32Dvi7NYksmTvjuWYH1Oln9mI/AFFJ3/rB39tP+Q+lUAv/HrHVmz sJmmuwmJlWD665/OmviHYGbxXQ19hmtNGygvxLRpyh494/cDajN4G2CJh2Wx zuKZFXrY/b3VNOkRhw3IUp+1A0cY0TMgS9XHiLZpiOTG2tTpFD0CwtQNx1Zb x0Hqd66oKoermdevowanXGKKFwT5FI0L88kbfsnn+qBEr8z+2VsvT0j1jllc evNuVnlRSdaDnFtpxZtPz5KMxZtOzZBs7ziempHpHjIj6WA42+IORs0JdTjv HvrT0fT4pu4V8pV3dpD0dMHzYwkgu1Oni+JHd1b86c4K1EYqLs8qBreDPRzI p8tO5fgEeXV1JcjftPoDqKBh71uSfPfD3leVN2zR+0p6/1/PRjmscD2UEzRK SNt6dMuyqJy18LJRabOEvjgr3H/+LGkZGrZJbBoNc/b9xyk8SILpzRcSZ1oV ZV2LmQNe9Nj7czXdCwmg+y4b6Z6KM2jRKpgy9nePJNef97Kt+6E4qh6sZMAq sF1nVginfmUo9yHbdzJnU9WhMG2AHevRgN+gp+7cJgAlrENLah7DC58BFxxL AlZZeIpT68Z8kbn3+fUxY0yFz9/gx6iuF6RiR6xGCJGJlxicDHwyZ5NYylbX MlE9SNzlQTs5bCSZ7xl81LextoR93JNARq5J5XcnUvraoJjU/pIxwSezn2TK c0wbmeeYPC73Qqp78dW8C/e8Ip0lE4OJqXir/0z8l+9yZsaVVf5OaX32nJfk vA5bYyXT9bbOyektXPJT3ncty3txDBU+943yEYAQqc7Vhr3J224R+XWcRZff 7U836n5D+S/0oExFTua9/lNZ0es9Sm6++WPR3Sa9U4CSkma9kyVDXoc+sZKc 8+2AqK27HU7rbVEDKrz2pGDBsqKHui9RbnuABpZvj4cr+F1Ci+fs/DuwmNGG 5I2aRVYNCPf9jbBD8O/QDF/PbClKVtM/qpmB+//bUn8GCcnA9jJgor2jtY95 FBjp776XPj93Xh8bYGnQRkkiXiAGHBZM9O5lR8CFWn4Bq4tnD0Hd5a9dRo6b HNjrH/BTkJihmqa/jrMI8aZCAes3St/wthfyiaasFuPbyMe3cgP/5+NbBFQQ XmpN10JULbP/WLJ9/LHM/jIb6sbkAxmDbjikjSpYlzrmusvFqdwY2BRv9ptZ kZax7MH1nA359ifcwsZ6hZ0Z6xOb8sOuWDHazUVfborN+XZLVPJ4B5+sTn0S il7tXFL4fJf78o26dg8USnm1z/3zn9nfS3j/1/tYWEsBgVzw8tcVBW92v4PB LhnYXr7Z4MebGPRswMt8wF/u0DNrefCOI2yoi3KMRpRvWU+uegPe1CQ2nQ14 bL8t3c9LbvmjOk0wu6MdvenwD/Zs+wcAmPQA0NQTf5y5GY4RrAQUGhwnZCjA b/xlExZxfi8xT9t0j79kDs+qqUc5GmS+H7419InRUKkAgK1qYMCAFgv4s8UW ZcM/DmgQNqNuHDXmbQj5KV/sESNpM9vL8CzQxnqIm9c0hmjBQjHwTf93A19b e6k4byBd3KUfQzu2JW/ztc/aFLYzc5IkEHB1H0fAnRUpo++tDJto4Dx/Z63v 3Nv23n9WJOdE30stuhey+OwVSfab6Bsr2UQMPhh7/ettsXkdt0WVfrXUu7CP g2tGP+9tJW9OjJMM5XV/ui7Jpc/0LCip0/dm1qvr0lBXdiFaMqW+6Zl085Wh ufde/f56dvPu2Vkf/lgoyQIG9X+8XdKkVyoDgOD9pA69MjXe//cwMDePTNFg gM1p5CZ6MzWXeIrGhGQq9JK6seSquJuIy66Y7sIQIhnYXnaYtMUyxB7nG+pW kkN8D34K0CAyQp9eSCeM8KW/+SifjY14E9wO2ARIJKwryhAivlFn3yTmlrCe xn+BEGsXmdR55FqbunbwHT7+J6xTRnVtTu0g+e6H6BE8bpCCgBX+/f4odw8k Gw6DoS7/exgIC4jxUsWPfWaX01UX77mZbDu+MHPLmfVZi887Z86M2JM5Jm5r xsRb05LnlvaMdSjpHuJyo7tbIPg+w841Nnz6qUTggMPANnDU6Zjzg0JDgkYl Hk7oG7mj/DN3l/utdrncbbPP5W79sQkcCXVK6w1NyW9/wDOjw1nPqx+HBCY1 Oht9reGpiJzPTx7M//qUa2ELh8D8t4el57094HrOu73zi17TjIMZqMjp0Cce eMAW0X9Y4vhifxchgj6mDMvKTdUUQR1Ox2hAkAxsL+/rtZzQzuHCzSiGIIDT d08Qzf99L9nPdSe3AWvYeRvHOrHj8euPsfNgV9SnXCpmBZpqwUJ3pqvMHDPA 0OAdp6lFxFXN2cX/7v1XcmzJfL9lxAZrsMXaUH7MfJXPeRv89nUTDnOgcGDJ B3uso6PfL6tkXgCm0Y4hBCCqZgOibMK6s5XOBSCrDbL+vA2fS9GEfLRbuzRn EwvIYDAYZp7lyEEoq99uegjjot4/KCzFX+P9bHk/hW+qj7DuvK11SJwl+FDN h+4K0EOda6gz8sHqueqahjrJxPbmmEGXdtxqGnakpEHkqeKGYafTOx+ICBh3 PJYjzHhhwLmLwb/E+wT/kubhMztju4GdVfvOl3tcylpzsD18vm/K/ed6XL/7 +qikom6n3Uu6B7iUtN3vcv9TN5fyN519yt/ZdsSAjlLtwk4HXOL6nXaPtdsa nNtoeHrhG/1zb38xvuSe/fZywO3KVz0zAbZrQ8YGLM7x3WD8L4PMyEEGsFRd LRSuO4QZACjVtIDxl22nuFhrYLmeBhUjh8qFT8dp4k1tc/15DYMZzJb6Hjh+ XD9rYaa59J9ZoKL5LzYcKie/nqd4dR9RcJvxapsJqg62C98ZKo/ZO9t/Aa1+ 2rB/NH0FlSv25qHV54q2JqUUq7WJewu7pem1FziMkOlRhOwjRi/iPiLzo/Wr wfsBftWG2w+8bYDbKcUz/o2vGFXNJ9SKy6IWQtN6pr+EW42YIdEuOXZBLnlf n92Z0iXaI6xf2gHPlZFH1h0P8HHfHHbk+G+pu0XfWsdnp7vcau/BNgDuwfN9 Uh7UG3GpsIO3a3nr3S4Vn7m53G+507X8ja2+kqHUdmO09NS9l5yCbn+6e7d6 XvZ3x1x8Z6a4Xhh47HhK5z+jC76xLwDSAkdPjHfbve7YnvLIwTPpwjKBNPhp T4q0Hw+EWJBm4niDeYLrg9e2D1lHT3NgoRnrnLATebTG9NP+YA0c2Ly/m6/p PJ8u8+jmM99QXOOhykfgbX33nKFpKw9wMNlgX72Hu5nhnyCahScLuQ1YzIwT jBS3OcaLnwylG3Ubsy2k9RjieDHCZCE8jTgB/hcwYpCqLoz68sHVKIkezv+d +XNlLSLoYTWRNCWfVne9TV7GR1ShLl4J46RGgqWXOUKAGChGSEGhGOUZy3VF rtaiRritYEU84xXIwYa560+IHsRdNWMl0OO1MKMqeuS4QZEMPUCRxE2RvPnA 5W1zr0Rs9Vibuk0ys7a6ftOuashh6HlrVELgxETX0FEJLqk/BbsUf7zXo+xp xwvATEktx+ibzzhF577kEp3zyvaogsZuvrfaebjivMDJl9X3McMCnh0eGDm5 8KwrPiFQM49CFwnktKfkgCdFDoRdFeTIozYfZ6vCswjZs7xt+QxXyyATU0+h 8qDudG6R7a26Hcm/w3QK/XQMZbYYTvde/I7BJ/2NngQomVg38/j1R5ShfIGB YPqKXeTXcQZ5df2dv2wtmPjjKk2YWoLpPZgvjSk+0R99rvQEdiQzzNGlDxF8 /IOZqj19nSn57c7EX5YBNDUwLZm47Ju36BTh0ajq2+B/WCph5GDQqo22PvyT tglmpaFl6gbEVc94GWbk0XJJHlhEu2weiXl3PL7CXC1YLIauV3jcAa4WhCQs 2LfH6REEpFTzX+CvLUcVMlTAHLb3EtNJ+Ml4RLPTyNUMkpjk/RszmEmW+/W4 pNA/Q7SSnmQQteXIjB8QwfCII7h1MzPCt6ihgrGl553W+sY7s55GbtX02Iwd HOJyYsaVXXjFa27Wjs1zS/yU2xPt2fNydMpbe6IlQ87L26Ml0/1RN6LxH7bc 113DYn4MOiCuJx9dEH9gbnLQHvaOZv6+HSnJMkmqmmCE4NPAKFvsFULWrIcQ Ia9m3SAAkvV4ivdDOEO7Hh8Sz0Lg6e1azqvfk2/n2RT/4WAqf70bPXyuI916 +msG0LwXv6fAdtNYvxPfzKGA9hOUvn2V34fN8jVe+rAt5b70NV15ZwB7Xbhq TGOqb2vtfD0OXPP2Ib8ywKpbZPM2VPB8YzJxcMLyRX/Un/gR3+NYA6wIm4e2 WqiYQw+esRXD6HHhEsfRB6qPXBGgRApXmzjdyQK4vntYNppXZyn7jn66qmxr eUwEqGBEAW91+/UG/fncAyoU+EaEUbOrL1nsKqtFYj34vpJDyBSqtalY4UED sTOX7VbckYUKZzEUG12GLmdtdt4X2GM4tWcuxbFuHOp83+lU+L8FPNJSVR3I URUhWzSbzG2tHDYyzgW2emVQ7FYVf+AA2GPWQ9jp4PHxDPMXR0Zobe5zbxxc NvfBRWCeedbRUp29fZKjw1qe1PCeVt892qvrpWi8umnuXf+jc7Ncz4wOPXBy 2mU3lx1Xto2+H7wVFernWBVbrNeT4h5OYdVoDIyw5iiK293VK0yLvki1eT9m pCvj3haOoh73sKz4e803grIOBpMRgEdu7nvF8E6nlLfaU0SLtmTDkC5fa9BB gaEdM9eqCtYUc/VhLqt2Wbe2Sc2rDT/WFC627HqtNBsd4RlDycv2sjYDhz1M eFXYxzSdTDsGO/BAre6R5pDDFthbm2oW7u+bqal0/NtvaYCbm4ZzRHDGr2cZ 8jJWCPbvcC4//YBuqRiXhEGfmE9r3ymjK6xHPQuQNcC/yAGP6E/VWnG4qGqR E4+xWgv4zx5jtmuxvWnRPBf68gwPBsLaj914CIt5/GuEixAR5vpVLTCadDP0 PxAOJE8pCNvCetjyPdB+eHE66wdkA9X4/+DcHPd1c0uDnmJgNu4dFJ6Q3Whq VsDYCM9lIZecbf81Tk16nCJAw2ouxDeCSwIssiCOsN1nZu6gCHGOGgBCFFW7 rvqkKa9QS3BGIC5smSclzHVltlkysL0psvlwGrjrNAsKNUpKJhhQyZYhypTU qD35fzVNuw6DhbVrNHOk1oQ7qiI1cegoyt21h/2f/kZzynm5BfNFdw5yI45A c3ZsDuUn3yCPgS6U+mYHBuSkRnbqyxDNCPkc6baIbXv7LKNPL1wm7TljeGR7 YKWgbKUnRFsbMBWLSMI8f3LxIltIAH+ZuebEafzK35+C27ShmKZNFdvoSKLI 4/UMegQPmKHZyPaYmvVQMbUPWdBHfAS9l8zqXMrYshf3/ysMYOQM0KaEgrV+ Iu4K+a4xQF2LbFc+zyOdXTDrF2THBuZAckYkXDTCwGbtcq3iISow9pqFf4rj H9zQa18gbxOcgON/yQkoAB5CF7b/JScI1R00N3fP+SP5/o4Vl09grURo7/HF F7Zs8Uhiah9W2nnu7eOL5z6KMnPzfnAfm9Vxz/8kXcc8c6XN5NXVO+Nqw+l3 lO22+4zwIAgMQTFyb4r0eEKSMCIlohIEUieiFEF1qBGKwsvegxzIV9HsghYg /bXRL2KSSENuGuOopwUT4r0gg4zXO9PkNW68olJMtAF8sVCYCuG7CQoCZE4P G8ZNYWkX1V/Hta2mB543t8GSrVjsR72+08jx9NP+wzR4x3lhbQ37Jh5RbCn+ BU8kvteVEQLyLOoTdcFdYANvu/kKr/RWPvBC6rc7UKsw+Nn1ombqsb2XeF35 8uzjyuqEV73F/qsqBbXt2+PHmUWXTAC/ZApr2VIB3gzC0tYofJmxfDkTE8pr MqhBu5ZYNho80CqUHg7ZruC9FtcACDz39KT78N8BLuH+gkBU156VmJaxnP8T 08Qb5ZSu0YSJ00SPW3RQ8/wFzvARQAsM7WaO+eMH6VHqFXrkuUPBvq3FW2gT LLhAvEdvj/OK2Amu5F7CsUEuV1+7oIggy62pJoeoXMGYog7XF0O2H9eeMIcI AvSHcDZYTPxJuUQkfhHVwyIC+uKB2akRFi6ReQTh2MKM7ZmXSq6mUXEBtlUU dxTPuWIkkHHt1KhtFQmMLmw4kURcpBsgkswMFHaxNttlM0svXfh0Q74gkzuJ 700vbh9wuaIhFVzFZ7B5zIoq1XQQ1LQr6hUsRimbpWXxmmRge+Y0IDigew8z zgF8IDLGbdilOPbfMvEgStraBwSxRXFUle7buRtb3UuMBZUzqsUXosYBNQya hRdOOI7tvOPYwmfCY7WFc+H/1QxFYvSgomftlI8wh1EEssegC2HlQHVtg+LI eZgTJbw/VaHAXxVkLyAj+koymBJEwlwVKxasbhOsjPoaHPiHf/iBoBF2DRyo kYH93LlUdVhheTat7XkL+iAGGN6f5aiHu4BgH0v+mi39QCKshy3vh/DBf4Ud zJwdEDKod594IbG6AJVy/MldusgEhqlfEe2WzKNTafcuN3I/sJEO7FpFQX/+ QZdXzaU7Bg725ER6lJNFFB6Cj185hM90kXiaGcjDs+dahUO9mPESEQhwjCZb RFErJMmT8geiDBp/cP9EXjZzC8Fv4T34HnwCXtFHI3D8pFzCB5HpdSrKULkE G3hE1SLwQ1ZlxO0Bd0gGtpf3UGqw5ttwQWHukRtxbrTLkdLlMzYrfvV0BYTT H8Q0nX7XAMKQbKI/Wlp4uoP79T19z6eumVwU5+xISWEXqMDdlVKAbTyBeuPY 7AT009PMqU7TH6neWF0quYE0oIiD4N8npRvEFpE6Y0fteBsWRQZtsKNnLeSg VYz8QwK5Kjngx8LKh3iimmSYa4+JW5MctrM29oxRjnrT8K0eimPxPSMGlRwk A4O8DeKbmKOjXhskhbwcCEv0kUNbTWdM4ddRgbMNb5u49ohl4dF/WFgK/7HH YBg4LSQqWiJ50CDmSqhtcC1+2bZNb0SNOMar2EAlNVUWQCnZAmLP6HlBvY06 9+IFzgwDd9F9uB16u4zjWUtEIKIG7zdii27qZzUZ5P1SStAYxIYzCDJ6YAsd ABiDfHqXLjDuqMn7zc6m5fuP0rIAV1omGdjedMyJXLavoFAPZyoOCaBHzmst Rb/QJ+AFRh8CWGM3nmT0gW3lNHfCU5Isq/RZZm5Jgpa0GsvqcIiIcah5dn1q wn/ockrzCqFTfRZpfAEdAr7R3SeTPsqJbfIaz2pnG7kXYARIIQSA0QUJkVu4 DLFBul4Nc/jT9TgQSTzdzJwBENtY1kTqUH757ASng6WSGSQiyX4dpz8M/3h6 aVIjhUVkxiVmSBG3AeEpYA1s+3oFXUtqNPsWpxojWOfEN9Mf4QKgDjG24Hz9 RNH7LTmWRtUbTEyaqG3tVIzrynCfU9v+YaLP30SmB+/wUHD8I3v6ongoqhkP +u5x0JuJSYDLfu5SBXPfkgyywLph07QAhEoJEBEoRWNHJt4W0WIqne7AdYdK E2snOllo4q8XIq+lb8MjM+BixLZuTQkdOzL4gx7gZmBJQzWUC/WBfo6jR2vm lC/TOZRCW3Wibb+MJyEw2gXq3IqXLQIDdPDNCapgS979SypASYxGBTUe42qI MY18ROc75Du2gDZKT/N+jqG07MSeSlRgc3o7rXJfTf4r5tA9gBeJSbgUDMJc Rpr18Mfm+vNmahyXKVSECUEOlQGwsVOtXWRB3OWXc4pJW2iBr0NaE97Ioe7z NDQHjVlL6cdDGQvgGA+hATA4SRlRmIPshwr8auJeWEVkNLpQgo99ZLSzmoEA 6BHf0Psosyh8d5VqBCP4ohllReEa8xa5Ug2GfePxb6fT2S+m349qNv3e5Xen F3N8my9+4lCwc1DUVVUmXPpw+t2gttMrZHaWTa99AZVCRZghAdyPLQ1w5qkW a3EvCuLfTkmmxolxlXD/j+eK9bPGbHJhWGZIrsH2xrUT5xBwjiMLjm31OIbS ZyWkykUQEgCWzRyyx75baIG7gDGqe7R3/uusU6WoAbZ62dkKZbCYAIOrtr6L CLeAbUZs2cEgG//BZ5T34ttsHZlOSn/Ad/IaR/7wPTGg4Tz4dezO4I3t8A8D tNl1r1xnK4dzjL/CowyT11A5ytwQjRztSOU8+IDFwp8Y5rDsGsxrPsZnUCMA j6ii2T2KGn6DtkrP834r4mnZ1mC+SQa2l1depA1tronZoMLfgDOgQloZ5NjX hqOgv7V6bCN/CeehWVSaot7P0MIF+8nETjPu7reBHXY/dJE9tdnaFas1jk1X fMgAhXfvqg++Y6spQQvAf8AGSKtJTVV7YIES7cG/4vp4HTSAc6pr+8VjMb6L vBV3YG7ObhX3NSxCvS1dDWITQMX9RwEu8MowW5vtzdD6i+d4lDWOKy15M5WK W4fkl6wfv+GRiQN7gNvJSre4fkYazdiw4sGODVNi1BxqpSUWGlYL56ZvTx2n pI8bEf5iLs3gPTuU4TJt/Uqlf58DupzGZ1ZeV6S1YbdfzhFxPXFjHUdPt/CC DbfzsPvgBe37pWGdzV8FPxhDWk9koEedKySGqOgG9uENMCaow/kAhelW8MFj 40p4uI2KYRXrUc2+1DANf6MTCygMYMvXzlyGcWxp064nPKjvjrEVYjjuX+IA XzSPymDzWcmtGJJwETTpb/vviQDBAI0IavEAI6Q/ZD7AD6JATlJ6nYO/Usms CAMBmRrQjWxvg7Znbt6tBHTXn5Merp7i80iqwykBBKH1seL5LjpIG9sF4nGz h2n9eG96K6WIhDCse6OU5v8eQfir/lQw3KgRZEfVLGTnd9Pc4TTlzFlMse/d vJ3RitJCkTsEXLmxNiFLgCag933KTXiG7t1UuQfD2r3/Io7gWlytbxmxgj4O v6x/dxn2+PAPs3k/A+831MXbMlDU2Iaw03qx8C/gXAOQzWn0Ms1ZuZjwP6CN 44LOn1Nu87dphOsW65e5FPWAtYvvksOkpfTt8SC1zdwkNpGC2nbV4Jw4YTbF /jyOZIZqeeay9dzbt3xVc2ffCIpr/Ivm8Qe2m6LPGyK+N/sPDw7pWhzSTAGo joW1Q0qME3jiGnxt2d6INqhxbGsnziKGYGGqK0X5X7RIb5hqvfURC73yeJ+N BdpPCtl2xRSoQbY2h2WHYjqNsgHYcKk+b3uznFK1c4X8XDJrrwWq3Liatw7f Qi3DUhSailS8EBc6+fVa5Vavpac4SlU1Xi2WFDGbbkcuM5Ri2zzqqCKnU1S7 YHwz9Q6tmnpeEXHBDK4ixlDp6dzVjNOJG9k2iPJeR1weR8+oJJD9H/A6O3q1 4vafoxNd4fDzNkC1+6GgSm4/0hKePedphnjKag/1Tpj0cMQGv156p3oQ/MH7 MH0VZJkCAas6bssGurTblbauW8H1prUQ5JbT+HZyOu3pO4UC2g9mMBQFQY2S rpJH7+EMgXHDJ9Gl/r8qDk0/Rf1sZg+KEN8KKQIAKvzj0ZT7kh2NdNqtwQT+ vQY74UgHzXChyHVHeJv8GKfZitiaDoomqGkVithi+43QrKdPl97ULjBYzxRG PMXp7Bd2Wn+BUETagTSGuec58mA8Wbktu/W8H9J6Wj+Wr7O2KlBA0u42eVeR 0+ZeN2kfvGS1LzxoeMxvWJzqqugE+qqic5KDDzOS7QMSmGOM1iPd1tLTHJ0A b9XqMGtlsR6dkoHt5ZFO4ZbrNbbQ+cs5+XoGMLUNylEIMYShF9s7V26T9DiP 8Z/hqsgbSzSP3/iagCuspAq5gCFLKPXAGQZVHOM1nW+OBMD2IUs1dIoMvB6c UNXVw2Xlha+t9WhZJMvYLCqRqqyDK25ch9PnybfzMAZMbEO2H9TKf2AjW0TE MEkrxqYJmSwACnD6ab83D5PzcBmbqgydu3X4ejo+YCWdUv6qkITYVTWw1U/4 4bezBsSqCqXcfYcpvH03zVHFaoksnMe/j1EvhOEI17VAqmoKfI8L3b9wlh5s XafoVVuLIYQhZeFgdV16xYDC59VX2WjTzrBZm358HDptOfwQt0LYW48HOL9w dFmPVy1O8d/CVLbgEI4r6yGcN8B2zuJDvN8zvJ9eE6vSz1q8DtoZbcGrzPdw axHc0v185ncvFzBLC3xjm+QQQjjXgAOMsjx6+pYgZhFafCMd5nEkfRB/RftY 8Hz77rnK4I2sKvYM5urHelwy6W/gzrvbABSALiJYyILhL8QvIK/+snCygWe8 rq8FRgQMWTirLay1k9xrqIx4mnYMnsmAKZnYXsbx5DWu9MXZcNInGMdudOf9 ZL5nQK7EAlVi4a9YAK23jez5TJwKTSii1689wMBrbWxckAIAicccILkEO8oi T+o0eMX8A6zsPcVPX0nG8qpW4/K5VIYlCnOy6NFZ5XWzBaxwVFkdmWBvAFfL ZouiWG2q8xOAFWazai4KM8u0ALToB+cUTiqcVake7wegVwUrQkcaWA0chAg4 a6VyAlywrwAx6yEcVDixVUFoLVh/2RZhAauRgxXOavPI65Wk9OsZtxRej1ck 1RkFwLwf/kfMivXg6RJj88g4xX/qrfx8A+iHwyfVdM1Tt8tp2soYDlIjB+nH 4QVPDNLPLQBkMlf3LeHVaustWZtIthaA4ldFAEgDYE22N0LG9vQ8QZC0eE3g csSWff+Bt9l/7KXpKzw5boSrD7xpOvQtKz/Oaxa8aM/7EHiBeNTEohjwp73/ f3XXHSVFlfVru6q7h2Ra1z27BtRvXQMqsCpJQXKOIg4ICowsIMkFJQsSBRFY SZJzGGCGODAMaRB0JDswkkGCCisCbnLP2e949tyvfve+96q66YFqhD3n+6Nq el6/TlW/372/e99799FP576i/8DD6bYYsiivqMNA7hH6+WTBQGz8xDAQAilb 7qGDqv/QjxCc/pBxlOvZ4r0iXnvPT3TR+y6SzrFrbSqg+A+HTERCFqpUpX3s 3AHLaK8aztFtcJc8omugF+L7EZhK0KSGShE+R1umF5B/kjAcWr3sE+7P2ej6 WiHd3HZZ1GVKgev/vqRR/fZQWEgCunScfpRqb/yGEIQKDaKaYPro//7Hrju8 wq/UzJraeYcbPq2l94ZkENIzOIOMcJ/8Lg8mxzY1BSIm5n06IATKeK/FymY/ e4NP7xhrdKhVzKMVWNh39EzjAvlxLNVckM+ltY2G0IfvzOL6ApUDfrQqvYRx Doxl+POYSJ6AXaz1ZCFi2M8YHBgDCTwhXP3Mdldobvwsa+i6WKTLRCqj/9TY Z+6/aOe3P9FfCv5Nx3WbmRaBQ9xMGO5Euxm4HCRUtFXCcyAK3It2QWvaT6Ns pSO1hkRyJpYoiGwu8aaR+IvflkjJK5r0HvOZR5OoUGDEwC3sceCNkIC5XRzM /NdX0tbqy6jgKcy5OfK4e7ZXNssx0ZyVInhHfua1BSeo9IHLWvtE62Vvi+HJ l092puO//8A1zS7zQvy6cFbDZZRfZiJd+M1gPgqe6uS2ordlz2nfm8rvypev /kByfElU/Ocai/XemvqR1LfzfRRmRU7uOo0PK+iuHIn4EhJu7Kjf0WtzPMn4 xOFTMcFAud0HacVL3WNem4BXYc0rHLPe+Ehmer4Q8Huq/e2xnAETAngigEwH QDnOn54+qBYNqSQR2vzESpJXnfwexE6wIFllUTBmoPsqSecc+TedAq9wDLlE E6MJFj/IXXRACT0tABseq28JhnWcvtXV0gsMg/DYuCqVg8R2KHpTBCxT5l8S lEbibRwIN3gXTCGAWFM0WtsogykkBJLzoVKLXCrkCo2K8TkKGr2ccZrTnJo+ eZVa0emHkIwEQSz73APDaGWzlYS/liNth0p1MTTT9KmxJc/DzH23lD7pb7Sk HfUqS7lUlWnD4wp7d/LxP6dPkTLTCFYWtR5Hq5qOpOkdJ9MzyXuj6APnLlBW w86GTfs6Dqa/HzpJ22ummSALDEKQ5r/BSE/5mYnHemoJGKTZhCOz+QiqsSVf zXl27rn4V6qw8yhPF37ro9UUAvswrT+DmzA/CP718YA/RInikmcve7dIrX3U URaXqUmSZ8hVxK8TRKjDxTbQ4+4EPFNqcOHfaBV814p/UI4Op2L8lwrjQDL4 rUdO/EWbygh2INCbDfnZcw3yQH4Z8oSFJUg/mHyDsoYYsoNv4h4q6tlQdzkz iXkUTuCUSohTmtQtg/b/IY2+uW+gZk8YzgYOCD0ym692mTXC7SkswjYF8SyC E/rvsCiyuWlNOl36ITpa7jHeO33QmGF04IXS5KBRSGZ8lMR6EaTfwSR9rHx5 AFX95z8oKKHUPBYdMGli7G7Tx7getCOo4hSlyn7AHeFZDN1pG+AnEAwezmCK GWRTNxRMAmUm9HCDgaLSDzQyK3WCziZSHJqdNoee3XsmRjPqlTZ+3AbjkOON kpkn1AwyjJIhv8B5BBkAtyECzUwY5cQwBGYSfL6xKrgX3qrDxoY9ltN18hr+ v8r2ArYdUa8rtuqTDXzkjC7muyYqP5qIVLaXSjApAtUP8RBSfBB6VhHpt/jV lR6pIkIq7Z6YTsX5HIGLGjEwnUly8OmOrhvCeFc6SeATRuCztfp8l3NDWNAd e/Qt99IKlzpNW/zf4hK8EWjT56MPuL1K3nYCv0LMpeg3javT2UpPcpdG2Tkc Fw0emk5z20EcgElWGI+Hv7vIlbW5vCqPg8iId5P6jcpgzmGZ7kgKKhDl7kXA JiT4kQvE8eriLE5blPAINqXL0Jj8FDySIZgj54/fnMzT2Z8qOEPwSLcJn7Tz 4hcGzYAyn0LpLV21a9fL9kXxMg+KE+tmxDopUtkJJJsSlvBMGI7GeBeiL7Uq BQ/NBJKS8r7INPUcn8mbb1tFhBjY+hIc8s/FwvVY2Ga0EEjtdldz8/5ABAJZ 4ge6YhLn6jdifphONijpZy/tu4lOT8qnsxUzDIE21VoTT6Bo18mHCck4JAXA i+x67ajc7iMcPlkRIdncdptpZ4VpdKhUL+6zq1knupK3n2whEjIO5qvffyuJ ZINIDXNUASM1LRHOCWS6Mm4knWzRgFa94gZtxZgL9vIWo+ntsavcwO24uSOI TBBFCa+SYYv6bVdnzKMCdDgRYJ+Xg94pbTGp9KBzXKRfBOIGDNBHjwmyxrZm wLdRQ13+1dpAPScTHWQNVFoROznpUMMq4e3VBuHE28dEpQ17s10ftypp3HXy bi/TpRwPksZo9yeXP5t/gK7svECX6q8z8im32ioPqCoYQT7LnyEG6jD0wzks 5c1LH/iOZvxRXmtJ2izad/R+TjxP7D6Ek9DALB5zQJJk3itJtMLMx3Mathuo ZPTdJhYbkQe0Ew48FxXwxtQsCTorUY0BQ+fE6x/YYTOXOOSZJ8CWeyh7jfDh BiFr+yFrKfM9um+Glx+qnhR2TaUBHiKpK21wdzC7DMrbxLAi1wS4QtbgcUQQ C2t8fcQqbYKxxvhbCMQa06pM8Pyu62jLx3toV51M95NF9ufUyTKIndd/D83u vctkozDfoMG6c7xvoF4y2n3iPNfDnjWfh2w9qmGkLl3D4yICXhspYPOVkhwS CQpWVTpNh8F+YMJMYpkukAiBcROACcFtgBny7KYR3GaSx04XRKOlXzHpN//1 sWTqdckcq/Cbsz+mBhvXcYgyI2MxtcrfF3wGnQItAl8DWlvOMUJezct44vB5 17bvokHD1hKeD0vXYYNWUeep26ji56eCp8HVHUMuF0OH/J/CN36ijl2VOY60 m7uR/CuP8Bht4YA4V2lZKAWtKCC5ZXynKPJDUOVA+rheOfz0nPar6fOK6VTw FMaLV3FySNKkDgD+/bl/0rcn/kZTe+SRyAQbg+6QEr4PLOKfSoJaiVidjVXa KLuANqSX9ChF//fzPVipmdRF/+VbgZXott4EAvzKMytxBLChtuOrHcOCQ417 ajvOyyfHiIifETj0QGCK97U6zMzhFJC25J/2nkX5bjTrt+4gC8QHv0qN2ff7 8yj6/cnjTJD9A3vR9EljkyYHQG/IoRAPEph+6rI8cuI7ZsGC12a6qkj6Te28 gGpuPhxjAIIyA2N/JlOkvnPMerwXpa3PB8s8thQVOiCk5YLEPoMSI8TVhrQI egPQxta0QQ5VGR4HsMCMlfu//julzT6mIk4bhh+8OPPlFQPsJa3muVKlB+VW a0iqnomN2iPdJk1zjcZuo2RbLVkeU08QZQx0daBqueeNg8ExbNA+M28Zhgc2 qdBLevO8hFR4VCSR0NTeO241HZyx0SeoUSUq3SvkoO4AKsig3f9aLsuQLHFU CqRluk+HS7rDAQM0kbpMydLFa2BSocp1Wijn1Q9oi/tYcccMWKBz0IxPIn5E +OzAI/z2/F/ZI0D93Cl06DdqvWdNgiZnVWxbLXcbDRzxvrRV1XT4yTXX02Ig vXfoQvrh6DnamuZS3U6wu3qKd0XQrqmDWLawJKliAZKfGJDj/1TCpMLOizzS LIGiwB36ZWaHQVwOU1X3slHWB+V9UMZHVeRMYXjrz3APvJeem4n3VC6g8Zp8 vrgTuy++Fkl/FrolE+2gFgBQi5sEpCrrfjwzj85xLXwPuON7zuI8jM90hP3k wMHgDpr8VIKzw8ztnlhWP2lV09dpTO8hPE9R5/U00DnWlMR8FCYO/8ODIP8C AkDMs3B4LDlYv/jJsXhY27AxMPNs/n8pbW/M2uHdxKCfoX5r56nTKb/MMy5Y OurAoKgWNhqXwDG2EM9uMphFP8w9hL4adkR3nZ/EU4WOkikMI6FvKPiAZvAP rM9xWCE+cxsmEv72vOtFikoFWWAXtwB7y8N8K0s+5L2RVzlDDDybAFYpVXws Inh9VW89nsMop4OyOxqoKLdjRWJTIwzSEh7+NXjxOEnsTuq2yJWNswkmUScf MEsfs/Yxex/zg+/QduMotZ23OcaT3xA0HU9plD7wddxN+JrQzj3ukH7jei0N AtcSMW2E+OwytZ8zl6G6u1xFhu2WGrX5/9aLFruYOGNcNWrtTunSjfsYeEvO JuxPvSOdwoXf5Zo4GstQL4WZYtl9L+yvPFzQ6GU60bWXURaZzVsTiiLJq+Wt /coCeA171pshiv+Uh4ffgs/yR/Cs6fRXuEUqXCBb3F+iEuVi0Yp4EzlxwBVh KGD8wqeHeZxC4Ukjl6u5JAdbB7BdmjrVVYczWK1KTkDWd2HVJiq6+HGF2XVY +Y3KDZYj/WCi9WIU/9iS+awkMY6Ud3xI+vbYHDLxkNnx53/p9fl50u926Yf/ A2A8Zr34s3v30Y7KVd3ngFjc8bYEyQGMY4Uo2pamtvLeV+VCnz54/ir9pk14 obZYQJwCWwqbClAerNuUQYzHKNGHLVMV0KCQUdyLpYOa9AYjzWsl+aufIXgh eCcGqlyuMOwr2uCtIMT40qlLjtcggvdMSABD/AvrXrO0IjlUR4Bc/95t+B/+ QCnZOjlfeJPhgq6YUmNLMLhArz4gIEwtq7Cgc9CwsVRr0ydshFWdAhuLGhus U2uug2blFDpfzth7VZbPxHk+GwFbAtT6Y8eVHebRwfTdtBbuz/EyhAbZhQtj x982vufbJGANA7iN10j8Uynvc1pfv5H7tQS0/Fi/jRKtqUv3uw5cOYLrJP/1 1vOyCyM2HDlJsKZAJcRBUQ+kDFC+Jx6Hjf8p5v1StPOvVQMSuFuGw0pqxRSS TWRW47BpW6nzOrSluy9fShabtq736S/ePb7nbC98UyuAYIVhXmGh8RreUUP6 OyjejzYUCEXhrbC2gDeQKGRchwFly/mgz3IOpNAE0+p4NXMgJnAsTe1MRx+r QiceeYGcb+4r537Tr+8vz/8WPFWN9jxXi9fvWjWSgngYVkNDHJaCNY2aGIl8 oVZy2jjvGLOBrpz+nva49NNtEBtm4cwTwWANQ6yge+C5CnQ5cwVrCA3ndz4c x1qEu6tKXYAo2KA1iaCcExRdJ+9w3doCPq4zGS+zZXN6bp/rcKto7l7w7p1C KlCL2NbnbcIwucj7IGjBrWKFlSIXwAQygVDskGN1PVz2CdpeswqVLjigaiCE 8a1SM5ZS12mT6bXFC/gpK+1ngFxVt4YyNruOm7VPP7IlBgEwiKh3pjD9gs4X ZhRHGMU2hEWlvJMiDkRYRFEKAgL1zY9zaVqn+Wy6P3u+B134jRs0Ry//sqzb 89LdZSmvUqrEg4Wb6Ei8WIVuwoinjG45uDsaxoCub+oUUM5xiBjxyMb+K2iZ +2018uFXgaMng384AAyj67O/yFtwMRrlFoYOHiKgxn8qykfl+zG9VzNSrdC1 8cqE2VS/Fh0qW4oREfaIALDgwPbxSgci7WK81Z1eBhOiAPb5xtCaotGqjw5z ZjI0x/Z7m76oUJbCaLTsTQ1q0WPHjso7tE0Otdg7JX5zI5hfjMlAQlh3eG3m tUFHs0t4MNDawRLAhgeOSHejnNq0rWpT19xnEhSyJSbZDS8+co1qB/ru1+Xd G8VAjf504AjhEY6zJWu4gfp4fr/66101Xq3Q7xONx44W/yz8S8rrgF6NXLUe hQfGQR7oEByICGGbgg6+2NrEnSfj34t62DT91Dr+Z/Z9zXqBsWnL+e5LP3r9 CpdsRdC2v8IfGKo4Puz3Dn8m8Nn3w9GU1ayhCyw8Y9mf1HyRek4YLwvny3km 14BXgtgITCzyMPqz0AeAjgqO/U9dH8dRF8eDNYZheWvkbqEX8j6ldc0auF0Z xM6pFk3pSLnS3AftbcQyYworryZR71yo4ld4hiWN21DSQT1xyApoBUgKtV8X JLF5edCArnBIu3ZoCH1Rto7rnma5d0XalreYTFur96WDT7d2oXzyd/XZOnci tHOPkPSLkbZVCv0uVxXgYloqRQW6mvUySodCGptJt3WSMg0O7nnlHafYw8Nu hhmWzp//tIJ6j9lCDbMO0eNHvtNhDRSv1gGWkxSCmaQavTiA0no52TT3j+3c PoJcINm8TvYItOFXDHJLeIkEIJXlrRKJgCsQ7U/nsNoKDGEIh5GA5sRe3Zlc ypmDRxANsMZWSJB8afYMOla1EiO558TxpAb/7rryV6qxRWVClFTEzJLlLbq5 DnKo0QdBLbeuku/XG8jGGQio9wPyzY44t3ml9G8U+g+eueRBXyx2pP/761yo 7CPkLdCryeovONdxp6B7fM/0G0I3dnz1b/Jl4oV7PRaa/kHRfZdn9dos3CNR WnHB65z2ixntnHLwpXMHjNwkuI5Iv9+d/D4IrvF7ohrTE3sKcPRtabpmFeOc 0R3iM9vAw+XKcBustDLQsFvld52S1IOC72ZXI+cv/JyllI7oQHZzSaLezzTx sQoaTBYzEPRtV/uMHTl4gDylCo0jCoQsWvJ6K2PVoU5Uhu83Fy66UrMZpc1e qmWlU3nHHsqu194NlVJpTvs+lBTcHU9PmyER35ifTn5YJaRfzGB5kviGYTD4 tuWMDAgUgO/qcOZh8NA10u926Qce3AjQuTS9kyBmULITnEYb+A0PpvZvxf4Z eCnEDGcwA/5SNcBT8uwVmtx1uUD7Dj6HYd3r5Bxl8wka4HkrRWAPax8A9pzG AoTZZMsviMJQvpKxjLSmhpE8WvV5GjxyqC5i7pQ6hGz6NKqXfYCxruD6ZeY+ jntXv7nQwD/Gr6layf6UEQ6+YQHGqm21rzeOh+StHjlxmvGLY1S/UVT8nz/q ZaW8sWOT1Ztp5ICxbLtDADSmh/VhM95p2hJexKdQgt7dJ85n1FuqK16lP7Gw LDyj3mf6TJ5D/SAgXEec19pLydQex/Gg951MW9CNsBKxQ4kXpFDi7Q6CUR10 al2/ssNcOpi+i7Kg9R0vcDVq8sUkGRPh3xiN2RjGPWAhYBF4n6lisZuFc7+m AX/zHZ4LMDy5S7gAt1Fh5xnqOD3PFXvSFpOpvg4/ukybEns/z5w2QaXKY4Xx O1a89IHLhQlunLOfx0xUGB2F3V/rkz+IMhFKcypLVdP0j2LhcZLzNoQLEaz+ 1lzAkdm8I4Efar4XHrZZuMIN4AbR3Ha9KIQ+SNf1paGDx7rfeyuvpFHQw5RY 7QSsFD6HVzfpxKxBISUIIjDJcoJTRSI2Th5qPYQdxPhOq8kZSBj6E+R6Z6FE aRo1Y3nGH/sQJNsNkCSCi+1PmOtZ1erb4yHiVvBD82DHmGz64avvae+M7cbr gBvGV6ck4O5zwfnCe59GvY2KgS3YFR3fIxtllGPj5PgBHhjpf6cIJUQIZmkb oRbpFXpvyAaKClUQVwSiir9NRHOkWu6XTAt9pC79jE0IjxlIKGVcgxJ7mgmY 6JHs9CWhge2ngSUgD+dWe4Wxj5vyyrIspoZVhJ+z1zZqT3gNv/p+bTxPMvIZ 28X47HqymexOwAqMM6QGFkaCe0fjXmNe5d78kkGSk7I5prnJaqAlr1JTymrY jkodOp4szh2N8xXN/0ydp22k2zx84ymoI4XlyMb+mbS89XRDCYQEiCRU9Fjy 7LduhDZc3r1ckrAWN+AA1khb4eMxSnBngt0/GyWHbKDWIPt2gS48gYGv0qCI hRE8+IPfnwFx2w9xK8Rn+93hGVdVDcT/UE0Ns4B8EAH7+uZzm7d8KwRi3Bjq Yb4N6m05d5660L0AuwkIt4pJG5jAIgmvUrmHetmfeGgX6WPvbNDBaxMbH4GN N2UP3ANWF+LKSZ4MLIuM8Zc0ZRjfCyjHsa1qC2q6Kke9B5cOirOpha8aTUgB RLrrGg2jQ+Wf4VXfSlpDDsEQIfduhYQIeGyCiCKeVcmp85prOTqZvXyC4B4e S0s8SBsztKvyjuBB/PbXMUF/UCKo3wOZE5/dWfWnlV5b2IugkQnyj4QjWkZY 4c9tvrTiwA2TAzA35LDlPDttsrcFuJLeIEEn1yqN6zXXvd7Sr+/olVRu94mr AjnzGQHC4QQayU8THItf7c4GVaEXCOwxYbawqIjHGKMvfIW+oX78jMEquIM9 hsa0wVe0XrRaliirAAs+ZEuNNoZdSJzimUITpooxyKkYs6IS+wjfNWOsEJ+j A0dM9BhOxL6t95iptKSVq9Ai3McVEUNdJn8REwhc966qy4oA8f2h/enkH7BF wNel7nef2dawKr2xYBaN6zuKLv7uXkJrxT2fq10/wvj5+Br6gBTV4zdwx589 /xIfudVSqXBuOfHcchIknNSXjNldupgnHk2/oMpJ0QpmCkrJT41ds3e64e5l 2jYu19AK9DPJVHUzQTEoKm846ybSKiznZitlFj4AgseIzq3bEvijRJvJXZc2 YWgnTRkECz482xh4R+jt01v2niZv0JW8vTFteA/zvvdri/8vV1wPNFz4tHpr wx1EGxhQYH6oAcayXxw2UYku51pYtNEsAUVsOYMKgD9Topi0vfXRLO/rBS2U J5es2BPHDjPkcVxs9wr//bxWRaqzJYfK7z5MM3t0MJTQiNJSFBbICgP9lgP8 j+o3mtthcnxWCZqLO9k4ByQJz/3xtmo2obdPlGD+HPuoRKkJX9RltlBrEvDS 3OURR484aPCvH7SeTuSeIPgl3YYwHVleDkVEnob9pMOB5wMPaSqywK+ABlkN h2uy2AjTIb5G9Vvo3g5pw2NzfQqfNHwtCYYcqsmlKtkASweDnFOnjZFleMzS xkcw5FwBdn0gANHllPAYoNcV2gp1FArxsLBxTsGZ17Yn+zmg7s2PF1BxAb3x a94vvP6VVSXFG2evoeXtWtCCTq9Rm2ULZaRSqZqeU8YTnuf/bveICLAziot4 gH/nw+lKpaaR8MD2uy9dOeN6WEd0FUowBK4KyuLeYhxRD6PHJRYgwYxvCJp1 Eu+Wgtij/ZxdxsZDQmEgAm0YLlbVL/1ohpsICmQlOepvXE+lv1ReQy3/7DZp Pe0q34O+eriV+wHiCdCGTLv2BvhfgxxCy7xvktPNFcihjhjg+I8Baos2j7ln XDEoxCC2DWQL+1CBbdgPWxyAqcYkfMzkru8KpFM8I24CgqAGW4WLploNDhUM A4daiCh8hoHPNgtlaRH+4n/LEZACzwFAGokHKQAHhCo/ANQBmDwfP8Rn24yc 4GAnEAK7goYCpT3TC8Bx5jMo2tSAHWr3H3v2UQLqFNocfIWNtbvR326vTWce dCM+z5oiDPbbEPyAid1nikQpIf2Wpo7ljY9+hoU1aRocdQP+IoGXA3+vA0tE AWLFIlW27yIYR426vY3T6IfP9pLYTRuJIi5lzp0DfqL6trDxBlApAhq4cWN0 Qxrc39L0jv2kXygpcMWEm2Ym0L0eyJd0aEX3nf8meBhZxsOO0ahBx+UUuTDk OGTUe7S36rPuf0CRFZ7ZvQO1zEznMlF4Hv9bIX7ObpblW7unZkG3WL6clrdo ITuTyibGxbGhMbYefOj0ae6LKTto++7XVRmT3/26MQMOYSSI5qvxirQLIk+r uGBRy+UbwWLQKbXKGwNrG2u3lrSdfFQUj3VIptN60J+MjKB5DUl/R6AuNMpw nJk0jw6k9SYFJGT7DW3UFAn/S/BcwDQevApLJHFoxX916XvqPGcqTejbg3HW e8IYLsiijWuZgnzaXr8KfVXmYSq/b1dg8xW03rKC2+pXm7CpEqAJpKa83YXh dvD5pw3M2i6Z591zNfz97vDhZmNbK8rnFEAPsMJ/fmghjPKNDcC3IhJjWKnk xrb+C2mf62/9CQ/O9emPTTL6ShJqNTd/6t3rRLtEFT7HOSpZ8U6MiSN93qfs NwewMvPB1hW4ywxmrpH7TZi9gBHKr1yGwWA5fLbxP+qi4K8VkjYAxby2wS1B jDN+QE9Gy8ka5el4xSdJAJKytVF18Xeq+8NnviINLvhDtXZPY0MfX6WlaROV srV6ddmLXb0FNk6+eE9txtDZktVU3p3FKFwmklwcnLSdSBvciF15VATvRgIk 2or65kEmJqMaFDLPeXAw86QKH+FKOBYCOBwp/zjD4YJrO+TuR2FGkJxFJ5gX /I9nuM7TrbEfEZgruKszLRvRqXqVOZ6BS1KSEqoH3upt1EsQCBR59Ngxwq3W EDjXty//RVvrRYskFFJSKLP5cFef1xQTw5ZTZLhtsqA4EhVNvwl3OeilUGQO GHclioLCsPa4XTvbvERjBvdmYutrgOuBNhRmuem38T7vMwx75T5FMI0Le57O dikKU193wwa+N+qS9hq3hnArN9Stm/TGPzf7DgTtV1LaWNPptpttJlXqRKdD WG/9P7k8N7tfot/h/9l/wjPsHnsGfMSvkEtm8fvx6dtb2GD94v8AOauNdA== \ \>"]] }, Open ]] }, Open ]] }, WindowSize->{1014, 706}, WindowMargins->{{148, Automatic}, {187, Automatic}}, ShowSelection->True, FrontEndVersion->"7.0 for Microsoft Windows (32-bit) (February 18, 2009)", StyleDefinitions->"Default.nb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[567, 22, 109, 1, 36, "Subsection"], Cell[CellGroupData[{ Cell[701, 27, 3981, 105, 232, "Input"], Cell[4685, 134, 2519, 44, 70, "Output"] }, Open ]], Cell[7219, 181, 794, 18, 52, "Input"], Cell[8016, 201, 333, 6, 72, "Input"], Cell[8352, 209, 391, 10, 31, "Input"], Cell[8746, 221, 551, 16, 31, "Input"], Cell[9300, 239, 449, 13, 31, "Input"], Cell[9752, 254, 1169, 29, 48, "Input"], Cell[10924, 285, 1957, 50, 101, "Input"], Cell[12884, 337, 2024, 50, 113, "Input"] }, Closed]], Cell[CellGroupData[{ Cell[14945, 392, 94, 1, 28, "Subsection"], Cell[CellGroupData[{ Cell[15064, 397, 2541, 68, 212, "Input"], Cell[17608, 467, 1235, 27, 42, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[18880, 499, 920, 19, 55, "Input"], Cell[19803, 520, 115594, 1899, 385, 312, 7, "CachedBoxData", "BoxData", \ "Output"] }, Open ]] }, Open ]] } ] *) (* End of internal cache information *)