(* 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[ 164578, 2907] NotebookOptionsPosition[ 163491, 2865] NotebookOutlinePosition[ 163883, 2882] CellTagsIndexPosition[ 163840, 2879] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Animate", "[", RowBox[{ RowBox[{"Graphics3D", "[", RowBox[{ RowBox[{"{", RowBox[{"Sphere", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Sin", "[", "t", "]"}], ",", RowBox[{"Cos", "[", "t", "]"}], ",", RowBox[{ RowBox[{"t", "^", "2"}], "/", "100"}]}], "}"}], ",", "\[IndentingNewLine]", "0.1"}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Axes", "\[Rule]", "True"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1.1"}], ",", "1.1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1.1"}], ",", "1.1"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "6.25"}], "}"}]}], "}"}]}]}], "}"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"t", ",", "0", ",", "25"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.461023318580535*^9, 3.4610233579496326`*^9}, { 3.461023436760852*^9, 3.461023540276775*^9}}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`t$$ = 6.761729717254639, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ Hold[$CellContext`t$$], 0, 25}}, Typeset`size$$ = {222., {214., 218.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = True, $CellContext`t$15637$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`t$$ = 0}, "ControllerVariables" :> { Hold[$CellContext`t$$, $CellContext`t$15637$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Graphics3D[{ Sphere[{ Sin[$CellContext`t$$], Cos[$CellContext`t$$], $CellContext`t$$^2/100}, 0.1]}, { Axes -> True, PlotRange -> {{-1.1, 1.1}, {-1.1, 1.1}, {0, 6.25}}}], "Specifications" :> {{$CellContext`t$$, 0, 25, AppearanceElements -> { "ProgressSlider", "PlayPauseButton", "FasterSlowerButtons", "DirectionButton"}}}, "Options" :> { ControlType -> Animator, AppearanceElements -> None, SynchronousUpdating -> True, ShrinkingDelay -> 10.}, "DefaultOptions" :> {}], ImageSizeCache->{322., {294.34375, 299.65625}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{{3.461023349304656*^9, 3.46102335835289*^9}, 3.46102346675493*^9, {3.461023503222062*^9, 3.461023584694545*^9}, { 3.461023807633716*^9, 3.4610238629272823`*^9}, {3.461057826372692*^9, 3.461057829483295*^9}, {3.4610611918318043`*^9, 3.461061198367153*^9}, { 3.46106548131157*^9, 3.4610654901097*^9}, {3.461065651730446*^9, 3.461065670113555*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Animate", "[", RowBox[{ RowBox[{"Graphics3D", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Sphere", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Sin", "[", "t", "]"}], ",", RowBox[{"Cos", "[", "t", "]"}], ",", RowBox[{ RowBox[{"t", "^", "2"}], "/", "100"}]}], "}"}], ",", "\[IndentingNewLine]", "0.1"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Line", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Sin", "[", "s", "]"}], ",", RowBox[{"Cos", "[", "s", "]"}], ",", RowBox[{ RowBox[{"s", "^", "2"}], "/", "100"}]}], "}"}], ",", RowBox[{"{", RowBox[{"s", ",", "0", ",", "t", ",", "0.1"}], "}"}]}], "]"}], "]"}]}], "\[IndentingNewLine]", "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Axes", "\[Rule]", "True"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1.1"}], ",", "1.1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1.1"}], ",", "1.1"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "6.25"}], "}"}]}], "}"}]}]}], "}"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"t", ",", "0", ",", "25"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.461023625234496*^9, 3.461023628945112*^9}, { 3.4610237101824923`*^9, 3.461023732762924*^9}}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`t$$ = 2.769145965576172, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ Hold[$CellContext`t$$], 0, 25}}, Typeset`size$$ = { 256., {258., 259.3570256421225}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = True, $CellContext`t$13037$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`t$$ = 0}, "ControllerVariables" :> { Hold[$CellContext`t$$, $CellContext`t$13037$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Graphics3D[{ Sphere[{ Sin[$CellContext`t$$], Cos[$CellContext`t$$], $CellContext`t$$^2/100}, 0.1], Line[ Table[{ Sin[$CellContext`s], Cos[$CellContext`s], $CellContext`s^2/100}, {$CellContext`s, 0, $CellContext`t$$, 0.1}]]}, { Axes -> True, PlotRange -> {{-1.1, 1.1}, {-1.1, 1.1}, {0, 6.25}}}], "Specifications" :> {{$CellContext`t$$, 0, 25, AppearanceElements -> { "ProgressSlider", "PlayPauseButton", "FasterSlowerButtons", "DirectionButton"}}}, "Options" :> { ControlType -> Animator, AppearanceElements -> None, SynchronousUpdating -> True, ShrinkingDelay -> 10.}, "DefaultOptions" :> {}], ImageSizeCache->{289., {285.625, 289.375}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{ 3.46102361643582*^9, 3.4610236533046293`*^9, {3.461023710867277*^9, 3.461023733074379*^9}, 3.461023786601125*^9, {3.461065681388218*^9, 3.4610656997000647`*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Animate", "[", RowBox[{ RowBox[{"Graphics3D", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Sphere", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Sin", "[", "t", "]"}], ",", RowBox[{"Cos", "[", "t", "]"}], ",", RowBox[{ RowBox[{"t", "^", "2"}], "/", "100"}]}], "}"}], ",", "\[IndentingNewLine]", "0.1"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Line", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Sin", "[", "s", "]"}], ",", RowBox[{"Cos", "[", "s", "]"}], ",", RowBox[{ RowBox[{"s", "^", "2"}], "/", "100"}]}], "}"}], ",", RowBox[{"{", RowBox[{"s", ",", "0", ",", "25", ",", "0.1"}], "}"}]}], "]"}], "]"}]}], "\[IndentingNewLine]", "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Axes", "\[Rule]", "True"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1.1"}], ",", "1.1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1.1"}], ",", "1.1"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "6.25"}], "}"}]}], "}"}]}]}], "}"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"t", ",", "0", ",", "25"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.461023752082197*^9, 3.461023752670356*^9}}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`t$$ = 2.853529453277588, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ Hold[$CellContext`t$$], 0, 25}}, Typeset`size$$ = { 256., {258., 259.3570256421225}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = True, $CellContext`t$13208$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`t$$ = 0}, "ControllerVariables" :> { Hold[$CellContext`t$$, $CellContext`t$13208$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Graphics3D[{ Sphere[{ Sin[$CellContext`t$$], Cos[$CellContext`t$$], $CellContext`t$$^2/100}, 0.1], Line[ Table[{ Sin[$CellContext`s], Cos[$CellContext`s], $CellContext`s^2/100}, {$CellContext`s, 0, 25, 0.1}]]}, { Axes -> True, PlotRange -> {{-1.1, 1.1}, {-1.1, 1.1}, {0, 6.25}}}], "Specifications" :> {{$CellContext`t$$, 0, 25, AppearanceElements -> { "ProgressSlider", "PlayPauseButton", "FasterSlowerButtons", "DirectionButton"}}}, "Options" :> { ControlType -> Animator, AppearanceElements -> None, SynchronousUpdating -> True, ShrinkingDelay -> 10.}, "DefaultOptions" :> {}], ImageSizeCache->{289., {285.625, 289.375}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{{3.461023753292169*^9, 3.4610237822995863`*^9}, { 3.4610657053839912`*^9, 3.461065710417934*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ParametricPlot3D", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Sin", "[", "t", "]"}], ",", RowBox[{"Cos", "[", "t", "]"}], ",", RowBox[{ RowBox[{"t", "^", "2"}], "/", "100"}]}], "}"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "25"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.461023771737236*^9, 3.461023774331373*^9}}], Cell[BoxData[ Graphics3DBox[{{}, {}, {Hue[0.67, 0.6, 0.6], Line3DBox[CompressedData[" 1:eJwcmHc81u/3x+2VFGWUSiUtZUVRPs47KoWItGSVUWRLWUXDyEg2kVWyUmZm Lnvvvfd23/fb3uP3/v48/PV63I9zznXe5zzPda5jT83VDGioqKgKaamoiH8q 1c9b3yOORMuYbOwQfzg0SNqZKllNSL+7Zbzw8LkTrBmUPCwmdPF0O66E3O8y pm1zKx3PfOCFo9BzZkI/FEGz525uicx0B/sVF+9gQJXMom1bOHwWui70RrRd 5vmaW16JYSQoVq9mCWzi8NLYe9fp3BGZ7fLdUaWR36FvxI52Yw2H3ceojzU1 U2Ty7P+U93jGQa7sOO+9FRw8+gpmNEWXZXZ4WRqnn/6Bz6ln+4NncdAwHP3E kUsLDw1XZIZ/pgJ/zVq0MwkH40sKFo4rTHA6zmHfrvB0uNgVbUiZIH5/dV7m bzMb5Dzt9bByyQIhsarLj/pwGHH6WK0kygXCu143lt1FkDK538KsGIfcW/ur GHP5Qe23exvf90JofnfX510uDn+FxfbRXD8Jb8kSCYfCi0DAY5fFwTQcJr7r PrBYOQ2VMk6M8t4lMDPz31pfJA6zF/G6+GYhiB+qXF56UQENiq2nU2xwqPww lXNN9CJY/d5t68DdAHfF58k/WXCoUE9+TpMrB5MDbwYd6BtB82q92pkNChxl fD3yZf0aXOVJVdh82wjMdI81xGcowNJXqrl57QYsexVHSVs2gaGY9K2xKgq8 WyApGK/cBK+KSS13tRb42i7XmPOOApw1ZpwxzcqgFz0xn8XQAZNHfsWb9JDB yC88FRO9D2uH/mLcZ/qBzB1spSxFgu9H7bN3cvTAWiZk31xUP3AJP/i4wkOC lw0uXe6G+nCPekIc4xmAT+9TNY6tzsBqmvrICqcBSL/iW/9KMwgFdhcT1zJm gJ9HOtXtjSEUYNWvjpMGQfmb8Y+60zMwryF60czcCJjl5Xv8UoZBkSkq+8va FJgWZ47e7zcHBTo/aZ7VMeBYKzfVvTYBTqz7jBVfvobUT7H3jc6MQ3XDkc0X nBMgIVzrSll9DWdPS3Ld1xiHSRWMds/4OFwjjQfTOdmC1wM79p3ccWh7HtJx xHUcLCSuBn/ysYPPjP1Cr19PgLXzR+c3RWNAT/eJZaXIATKq79TJ906C+XmX oQ2BUdhXlTYkfNEZFlej/7HdmYGpq+X73vwaBB6pM5DxwgU2Y90Y1i1moJJk ZMz9ahCWH0TNYcgFEtu412x9Z4C0vlFiAYOwUpv0yHyfK6xP5PQIN81A3N0x VBEzANo5Tgqp/1yBQ25n1VqRBMKBe09UjPZBXhjvn6oD7vA9zRwoZ8nwy81K ifNuN6S68n9UmvWAMp3rOT3XyBA33Vy02t8FcYyDPou3PWF6MDj2njYZDJ+u 7Htl3AX5/SKqMr88IYwseJ3sQ4arqzTO1507QdnHZ/GvsRfc923eG00mQ80t +5PGce2ws4YVSOPesCB7X63WjwLb2gmd+mPN0LSeI3Tb8wuY8J4ovhdLAXUf 1YnCF83wgHR5SAh9gXD1fnHDLApoqGpJt841AZnJ1ezJwheoO5jGyNtNgZDG o9jprUZQKLE/kKPpC+k4LWvdAaJ/YnqFbI7VQ610f4rYBT94k+rJfOQ9DkY9 Z9cMNMphUdZ7TBn3h4iINw/XvXAY96d2qdcpgw9jKddkTgeAyccObo1gHKrc tH4P65cCf3rE27dPAkDHtvf690QcBB8a3DtsVgzBDZ3v51oD4Fx4mtbDGhyy bBTFfNfzQX53RW00CoSuws2jSs04vDfge7hElQeaTNI0PBuBICFBK1fcicND ud4hCkMOfBBy4Bi4GATMEYIgMYoDo1TCoyL2TNjZeFCi8ycIRBYGKy4s4US9 RBm/kU+EkjBPQ8EfwSC25nPh7CoOjTrNulf1fkJc6/cns4PBcFk5QSVuHQf/ ESm9lLcxMFBtto/2SAgE6eRxJBHcHFZpNEu78A2M3pIc9B6HQDH7MRuJbRzk ZWblA40CQR4/FMYeGgJGfdSWNwguDw09Lrot4wmvDlNZ7u4g7Iyp0vQTOpW2 7ol9aq9hhSlo6z5nKLAyNp/cJPTa1ImBi3o6qC61H6PcDYW6wT39UYTOTNtv WPnuA1rm7r7c4hcK9W0GZ2oJvzuLQsvmnr7I6or7DH1zKLQybux6S3DfAgoF cu6FIjg0pebK/hUcFEs8/m7gEJp550CTTxTSyd20UFf9CqacTr9sCO6vjmtX uL78gZo4S65b+H6FUt08u7xlYn50UNopD+NRkJB0U1fTVwj43LTptoCD94Vd H9alf6Fkuuf7fDnC4NUxyv3MGRye63E0D1KnobbJjrzJgDDgLvmuyEVw/4mA bY3wQjoaXeY9/qk9DJJUfEW3h4i8GZ5lvzCaieSLOeA1TzhQ64se1WvHIf1P O4tUWQ6i9eX5Jv0tHJKFf3F9zMFBj4/x6eWiQqTJ5jL1IvEbbG5SZ0kbEfYN bkdGWVaiL+5DJZotkSDMaJB9QAsHu4jP4mKGVWgsM16BxBoFl4y//nW6Q9R5 2rfnehrVSJAhl01VJArQr4/GExI4bM4IiwddrUUZxZOnfV5HQchbFg1BgvtM NpdETOgb0d+kV7F9jNGgy7z3abY5BbrYPli0F7cg+//UUYlwDLRZlm130ZBh 5eSL2RXqHkSly/UqI/wHHKvb9WLvOAmCvl9/ct+xB/29qvNdovIHWHQr1pdV kkDrlgzP5eUe5OGV8ml04QcYdhxx++NF8H0mp8t9she91TJ5V6MYC2U1/eHe bCQ47nXuD1NFPwom3TxcsBUL44jPaH59Go7ft/47KD6E4lAgw0XjOEi7yaeC 7CfB7eFM/u7wUXRG6m2khUEinDtYwbqpPAmVl7hyQxtGEa9MKzk+KBFy82Sw 2uOTkPCCuaaSZgyd+SW2xFaZCIzWf/jOVk0Ay6XiYNbnYyiwhElYXzAJPBwC quf2ToDbbuXrHELjKHzggMqFxSQQS7E5+Mx7DO45ONfcj5tAbrUNmP7nZNhR 6e1YhmHIPVhw/8ytaTQkfd3G3SoF+r2CT2ztGgY9Dz3vBZNptDajc+GsVwpw 63HJ/usYgtGn29v3v0wj2+Ok7oHYFHhyXOqwmdkQfAw8YTbRNo2iBR6Nu3al wD1cvyE+ZBAkW9ab+DRnUNxHF0rJ1VRgWlL9YlXcBx58h6LeqpPQx9hTpWuc abBm+8he17cdWI57a1TPkZGXle9H9bp0eNAYSneQtx1KfYwKGxkp6AJbn4X1 VDoELDsEvfnRBhFRoppPD1OQtOjXGz/pM+Bjhhejwt9WuOJaNiEgT0GOu41+ y8tkQFVS0dDZ9mawqU3wEwikoPQjj8ztUjLA+/2zfCX2ejjXnXGl4iCOlr+/ /xsSkgm2dAdN/vLWwZNQuTCtMzgazByXWs7MBNHf5InfArVwsvVXtf0lHImq 5P981pIJ2UIjko8lq0Gj+wG6qYYjKp58aVe2v5D/84kSy6NyqN78YH3+PY5U adg00lz+gpc225cjXP9AI1sxd6EaRyVSG4/KX2fBsfSpI4rLudAvKHPbopmI Z2TYaCEkC7jM/7lttmVD4qSP2+MuHI1EOfdeys0CzLeoaH9ABoh6vHv1ZozQ 1fqnGLayIOIrG72PVRr8EcxaSJ8m7MhHfPQ9kg23ncUZMu+kAKe3bcJDnPCr sv/9BSwb0k4zW9zniYebwnompGUcfQw+HvvvQzZosPyoO9zyHZajZ+/3rOHI oSO3OjY2G8Slg//j5I0ErfZmcclNHJ06y3w3tiIbut4V1Or6BIEyF2zQbOPI w2e3TP5UNoTz7IrxYPCCgFn6mCs7OIpjrPSc3pUD9OFn1eJ6bOCBtj//MKE7 +ElKiwjlQICp44z6r+couJfiuEzojCI6Kt53cuDCyPP5ITk3RFAx2ZbQFQav lFFb50BxnsqF40IBSKbjUvZzwq/89/pv3oE5YN4IV1dywtELPpnociLODVvu LpHsHNBk3u/9IyYGXcDlLPzWcfTsCdfrme4cUPs17TFyLgnd3T43Y71I6MYX e34ezYV38OermuUflHiDNv3TLGHH40F0nFwuRBxMZwjtTkXL8QUhu0mE3wKh amSYCyHV3AfsD/9Fb/XMOHSHcMSstSN3MTkXotN8Nx7IZKNwxtMdQj04cqpc DQhozAUtbnS8QjsXpb69w2vSiqNfN+Jvsizmwl+pr4ZiEQUo/wpLlFgZjs45 nOm8ciUPXlexJ3N5liAFRobIhUgc1ZZmBGdV58HH0swl2dBS9Oj91J3LgUQd lmtvN1LywCR38DR7XBlqf1NYNPsJR6SuggrqffmgHyCzx7moAhm0c6QmWxK6 VPT7hMf5cEOvx/XYXA2KMPy4y+wyjj53U0LYKflwHP3K+s7bjBRHsqTkUilI NSJZ/hp3AbyPTbp5kq8bUXXV8YVcJCNScG976H+FwCbB4/ohtBvlu6aazh4k IzsPlg9FdwrhbeLDhBf7etBzoa+hldskZEyr/3JRrxBUq+KwVvpe9EzK4c16 KQk5uIeedPQohDPVXu9rR/sQ2rPkbaVIQk8G2Ko4Ogvhj+Fvl4rSQVR1wiFR 8OoMOld4nEHLpgg+cRzRuCYyir4FMZZSWiZR1W1c1yC7GGiWjyJh/VHUmzYv rpkwiah2f05bqi2GI8GN2kXBoyju8dI+rbeT6Jvaw1u+Q8VAdyixpGVrFBWt yu47dGoSMVqa35hmKYEYhtDU8LIx1NV3Bn5YT6Cw9bi3/Nol8GRFZIRKbgIZ W42/9Foj7rKY7EQaQylQxGw97fEplCEhFOxTMIz4Q3lDr+uWwbHsF8ar+6bR 2a2w8wmew0gos/pM6csyuMY7rs8hOY38uqhyHR4OozHLXnelT2XAk1j1kcdp Gp0qHS5TnhtCmnWn0uzTysCcpPlHm2kGbRbGaxbzDSFTVu1UJfpy4FbiSXvC SEKmrmPVR4f6EW/SzacVv8pBmlzhuDuDjOiMpy/s1HegWGOuz9y0leBksMN0 rIaMSvFbFC+NDqQffmCmgacSxitu2xQPkZHpvV8XisbaUZ2ZE5efUCX43TsZ mLybggL0H2qf2GhD8UtWnRc0KqGiJmuYV5eCcpiMrRmOtyJnzzUmcmolCLjc I3HiFETD/+tzxZNGVNTx8dBFvSp4Mn8tcnibgvA/v/6daGpAD/en6XjaVcEd XtNgSTYcjbu2vMH661HY3FXLaZ8qGLkgYeYkiCMNu7VJnpVadPrzp52y/Crg 0jyaY6WLo26ru1/T+auQgUp25TxXNdw8YVBclo4js+SBhfIXRchs3n83f101 pFqmf8nPx1H5dNEPZ+1CNJTtcYF+vBr6ozJNThD99igy/+JQdAEKirw9NL9d DX4EzG4Q/XliZ/0nq3Euqq271DorUgOdwXOjVEQ/l9yJPPPidja6zalzgFqh Bp4ZaAQJEv0v2R55UVPkL+J8ozZ+SK8GjGzyDjXP4Chk8Db9oaVUZJH8jft1 YA18v5VXdJvgywNWul8byX8Q9aslh8zfNVC465yXFMGjRT//byKWSahb+8Dz nYoaCArVNw5cwVGgtdzS1IU4tPKMuVd9qAY+7b52+wnBtcR3UjWXl2PQfd+y jsz1GkijETv9jeAgg/uolYnFN7Teffvx8f21EFh3ZO4mwU3G7ra//QsBaPRa jOHX87Vgm/AhSp/g7BOR85fGyO6Io6F47bB8LVztfio6S+g3324MWtWbo3d2 f/Yn69bCRrF89AyhP9Z4LhS52wouXnueJW9fC72zN2bvE/qhwEiZfdQeICpM HiL718Lswe2jYoRfChP3iMWbQLC8LBMQmVwLilwBkm+IOLkWWDVX1r7BnMHj es2KWugsyJaRJM7Vdufd843L3+Fv6rUvAkO1kNP64z89Ig/KsQEuP2zjAB1e 71pbrwWDiCePmYl8SjT3vPs5/wei71fRlQnVAa+FcthHIv9fKsNCTbjTwJ5/ ZCzvZh103rvMZTGOo86Kfa/EJTLAf2+VcsHTOpjZOMQb0o2jWdPjYQnm2RCo uJY1FlQHF5uGnYWJ+jHxoffxMS+ExmszEwU7dSA1MPJTmKg3XgsZlibHIqjY Z8jIcbAeqDvD6aMTiHo+HlFU8qkY6GmTf1uI10M+ZYK3MwBH9872rCbElMJt 2ciAO0b18Mpz7064Po7WLV6bLDVUwt5rnAVfW+qhm/Hp84wpCrL7zZR/0aMR NNXl3R4mNgBk3/EQ9SKjV2EUHVm/TtjX+mRNOqUR7N8oXI+yJiNJzQKJU4xd 8Mz4cqrYv0ZgZ8X0wzTIaJ/RXG2CQxcY/9UwP1/dCL99cx5KniKjZe1Y3nd6 3fDe3GpbdLQRWs8W3OTJI6FC+V9BN4R6Yclg+9lrnia45EnztKFuBnHTvVKO /T0AFD335wvvmqBZ876XScwUaj34PtLo1Agc+6HPl/KwGX5W0GvLO06hD6PD 9bs1RsB59kLUDcNmkGxQFyi4N4VC7/xgNPQagc/zCqeGrZuB6veLhXeMU+ha zaqT8OwI5HPfuXnapxlI/f621oaTyDJTVoo9YxQ0x/+2zZYR+3f9Gx0Pjgmk afZexujcOCQHLB+2Fm+BMTFhYfHTo6jq+oXdDt2TECAhoy/N2QqfhXucKldG 0InO8ylW1FNQG5zHfI6/FVpTXjuyV4ygwWcDW7tOT4HIc/0PR0VbIZuc+ahU fwSt5z9SP/ZyCqzuSi5w326FiUOJNMXhw+ioKMejCsZpWLo7VYq5tMLtH/te l+wMogI90Ub3QzPQv2kuYr/cCqkh/M2eQj1Ibnoz3HyVBNcoe0579baBwjt1 roZ/3WiX1sGECA4yFHJuqHHNtMEjjzHbZKVuJHfiBJPuOTI8S2JXi11rA+22 ouuyRl2oM2r5Sog2GUSPFdU2cbUD1R4uxo1vHejGVW+s9R9h5+KZDH3Vdphv UBwWWGlBqq9F1YSeUaCU+YiiVUU7nLtM+btrqhKlx3Rw6+jhoKPyNfRcVgdM 1Gc9kBmsQJL6zjxSFjjss7+6O6yiA5qu2eMMHeWINfe6vZsjDlnm50T2dHZA 6gKHqUlJKSqPXHZ39sehMK/uA9NaB3hiJf3MIYXIRuKPZX8uDoPt/z2FK51A i51s7OZBSHmAhfl+CQ5LD2nv9Ch2wnu5sQpu6n9oXtHwC1aDw0osK9lRsxPu TLwM4mnMRu4f8VHTLhxQ1LR405tOYCX3WV42SkFFEprPTuI4aBxo3fhX2Al5 P07mGX/7hUIm4oTFiL25bj5Lz62pEzIFc98MPYtH76wM96UQe7ZQ8ID9/eFO +I881jsj+gOJbHPSRhF7uQOD4lXBhU7wdFvillqJRJ18SXPUmzhkYut/6em6 QDz9jxOrRzA6uN+39X/vvZ3XyT1j+7vgvLp2LkXyM6KnJHzn3cFhivNESo1A F9xdG7FzzLVHvHnKj1oIfSwl4kLWxS64euxKq8nSY3gZrjL//+8QXFqG8fJd wE8VT/qk8RH6WxdMQwg9Ql7nZuTDLvjicIpMH+YHPLVrdbHbOGjLxXaFGXXB kvGy7EumMNjFGMwlQMTDwiJ8MMK+C9gZxK9n5kYDP6etMtcGDtFhm8w/PbvA xeDQr6HZWIixKnxrt4qDwOruhPTwLuCQnI3+dTIR9uqypCsv4RDIp7dSntwF P24w5RjdTAXW95pPVcg4SDR0Rm83dIH2o+rlj0/TwZNhisphEodnD9a2jg91 walSr8MKjplw5LDTNM8IDi6JWsy357tgKzaw/dfvHHAo7aP61Y6DW+rc+bT9 3SAYyRAywVAEwqs2VmJZOATJyv8ufNQNF8Kj7TLuVwH12i/RYS0cKBbxnpTR bvC6mUM9ql0N5yVfssvdwaE/jr7XdLkb+mOdTCIMa2BV8NYgjywOuQk/e+YZ eyD9lkxk9Ms66E4TuHXiBA6X2DImdwv2AFvAgUWRskb4uuRWWDREAdDYlHK3 7AHaAu9C49pWWNzeGtaQo4DbtmyO904P3HO5nnlDrg2am6VckoUoUFJ5d1ti by90dgxaNea0wTk2BWvPAxSYuGJ8ceRoL/i+jj86HtsOU2EfHabJZJg6FO+k JNsLnvMPXk3adUJ2YdtXGV8yNFY9e6Xh0guSgy/Z0Z5eYK1Yz/UpJoFIw/Ki HmsfHHzVkqhhPQTidV3r6c3TIOJ+9+L5I/2QF5Z0byVuCJRC9qYLp0zDa/MD vdbC/SBo4ZSn0jsESWllUte8pyFuZ/QlwvpBftTTR+TaMLwSU26UujENBQe9 nQz0+oH/3zPb8L0jIHI4Td4wfQoarxxbI8X3g5X8rV7LsFG4eZrBXdZhElzO PHozJT4Au8IZrBatJ4DZ0+L2jbIxCOmiNVA6PQjHWcd0T8ZMgGLEhwRu/zEo 21B+sCM6CLlLebOkhgmgWuGkdtMdA/eiZdHMK4PwN0snU/zsJATf0rgitz4K PZc0o86oDEKV8knvkK5J2HYzea54ZhRiG94+kXg1COXfaavp+achL1TX2uTV MDQkHbfpLB2EoVAxcHlMgtNz1ddi4vrgLdfYkJL+ELTMZ9oM2JOAPdDstKNQ H2QnlQ5omg1B4OGHN7NDSeAfed62KaMXvEapys1th+DnTLr/SBsJXuWoU6+g HtjEfBQjvIaAd/YLFcdNMoRPHkTGjV1AHUt75UjmEJAfRjXr7KNA/VeTI6M9 bfDjgGJSAsMw0Jn/OlxN1J+Kzqc7q49qQC5TvYmSNAxsy/99biXq1f/Yuj+n ejWoxLbQC/4dhraBkMF72jgo7HLxQberYBjPZDQuHIYjTQ5Y/mscTtmYfq+B CggK+GE92zoMtewWzBw/cDDDlu7K8pWA7KGzpCPbw3D9zpOAumQcOFMVdeS4 isFhsMTTkmkEZMPpjbf/4qDmlCO5xFoEl3cKV8s5RiBauuE+qsBh2PPjxvr8 P7ipNHbZnpjbmRFPDXKHcdgzSXMfIjMh/kS7Do3qCPzeVtE/RPT5+B5mXOlT OrD98zB+8XgE5J/F/J4n4WByxGOLzjoV1v/EyHYYjIBb3PGWjUUc4qYT9ol5 JsLT2E2NLPsRoD57zEOI4M6lQ8o/2LR+wkCcTJigywg0/jh5o22d4Iuw0a1P QjEwRDcaH+MzAlMSwRs4wd8w4bgfz3fCwDif9OHQ1xFo45aOfktwUBV95LsW 7Q+29Q/Phf4Ygd3VciLvCG5al/bc9ndxhV1XTsfw/BmBdiHZHyuE7nmCsk05 +gwEaB6Pfc0ZgfAIkY0hQjfkeQrG0zaohH9uia+UiGfWVAIj9J876nSv0jzR ROR0S1z9CCjYF9zjIPyeyHjVFHEpCPm+kncS6xoBIWqlJw+JOE8ICzyKDoxA hXGMq2hkBOhKkQa2goNw3GG61bg49OdAmurI6ggUFi9oDxPz6ZTYd9u1tiRk rhEuZkc7Cg3DO/arxDyjbq93KaROQZlLU4PsbKOwIvrl6rtxHEo4ElJNhDJQ 05U/sYr8oxDmv/GWsY6wf4897sGHfKTMMNwweHsU8q4ExymV4SBy8PQey+AC dJl3gtf74Sj4edJlMPzD4ZbuU9n39wrRbw8VCWm9UXBe/bqrOxGHt6YmEZef F6MTdgqNMbajENkUdpXGGYeaH3tW0adydC9g8qfv91E4hzZoF6xxWMz0HZbw rUDmb5i01X+PAgfSYdN4hsN/udfDr4VUIrYiz+EDOaOgWy/S7amEQ++hLqeD sdVo4EH+3eT6UeCO1Jz+uJeYo20SLmdz6lFJSVn70tootHs02jI7UWDzHL+8 g14LCg+w09mtSvAmtVpj9AUFRErnqzS7W5AM14Ag9ngM9I1PPlV8SAHXga+p 83daUfiW5HMbgzEYPSu3GwlTIOqZYIz4f23IZatKZMKOsHOyx/h6FxkUZSTJ A+wdiLdYl3oyZgz8Zl678HCTIfXY8kuVxG70QPtJlPbSGGikX214h81ActSk Z0/ZIGIe+d3GFz4OIgls/n58MzBk+x/79PogYjkUHRX1cxy+DsXvkt6ehr/i UqQs4SFUluvWw586DljuD57HudPwyK7A6XMIsb+fEYsWLR+H4ZHPox3np4G9 RVOT/dkwcq7ZeGE8Ow5i27rX5Gim4PoRuaslyyPo7/GnO3euT0D/hWSuMf1x 6H+e/yuvZxxpHnY4PD87AWG/r6ioio/D0O5rPhSWCTSnvMaTtDkBcvtvs2nQ jsPRG50Xc6Um0MCH1/OGTJOgTDnlcy1qDDqVn33hCZpAjSvWMME3CRLWrfRB baPQJxY/331rEpEYTa+yqEwCbYyE54LQCKzzf6+uDJ9C3FU6Y13Jk9BSUCP6 9MYAfHtCspadmUGqDfLJkaZT0FAuXkRq6Af297VLh1hJ6KJJ+fMMuylYIe+V Jz8k5lguV5PdORKyYb1OU+syBVu5uNdDoz64WSSslv2ChKgfyDbQRkxBhRr7 KMfHHrjEGS4kNUpCmvv/awqsnwIeb/3jSzEdkMQlJ9aRT0aMIhds5ESm4Y/0 TlOQYANwZoZf02fGkfTMsf/Klqbhcyp85b5YD/+qov958eAo7V/56yfUM1DC ddLuOFYHKtk2XVdO4WgqcUCUavcMDNu+cBxTqwHT3ae4zsvhKLnN9MT1EzOA FVdRe1hXQC/bSss9GxwZmWzQkNVm4M7K+Z5S+3Jgj61xTXbGET3nValv2jOQ a6uyGveuDIItmG54eOLoeec6RcV4BhR9Dou8+lwCtiqMss2ROHr9p7oz/90M WGqfs7l8C4GVkiVtSDGOWiJ6YjNSZiC4LyKU+e4/8CUXD+yrxpH/4eIO2/wZ sNoZVjDUzINBarrEfU3E/p116BNUzkDVvN3muGkWpLxZDI/ow5H9ZSHj1oEZ CErYfe/gq0xoGvsTcGYER2onxkJjZmYgYSZ7eu1NOpi+s+aRnCT29dN7b1mv zMCnRy8O5Bz4A0YUxtcDxJ5t/b5Y4NAeEki82V7uO5UEM/ocIraLONLpuHV3 8SAJKimnO0Mk4oCqL0Q0gNjXWeWvUzWcJEEVyxj/mux3UA23Nb9A7PfvmjLO /RIjwW2bwy6HoiLgR5fNwL1NHOW9Cun0lCHB9wjlKw05QVA/esVuYwtHWRdn ac0USPBAy+Ct2k9vkJDXunjif+/J7Pm/1e6T4FLLSJhAqgOM997laCR0OsbN TqmnJFBJTq4Suq+CZMadWXYIXZk75T2/GQm6ahRpVEveoRMc54+kErq2bGfS HuLeoF13Ytix8gtqdXZXHt/G0UX3l+rbLiTgLjYo3vMnBF1GiRERRDzNkx8d cV8SeNLRnIxWiEJjuX77ujdwJKLPfGLkGwlcXt1qs//vB3L5fTIjZA1H99ep FbsSSFBHU+NCLxKPthjEP3Uv4+hqktlcUyYJVGOHBVaZU9ArZL01geNIT+tH fnUdCTTbe6pDaNIQJbQkK30GR+HapkPVXSSYaDolsLCejh7qV/TSTOAoxD7R pW6MBIfun5H6O52FzmzvShPsxdEYzTul7i0SSOnvHo0oQ4h8IZk6sZCof/XI FnYhMmQr7T8Q1leIYpMsHf2zcbTvHPOiwGUyzO5dJZ3oLEKpHC/PUKfgSPLI hL/0DTJoUNO36dWWoNvS49FG33DUpLajaknsowxM2Bp/agWSPz4oaG2FI5mt qIrVz2Q4N3naWvN5A7rellbuQ48TfZ0Q4jRLhuDJv+Hdko1Icpmuwm6RgoJM gnyKtsigtkcnQfpfI9oSfUpuG6Yg5Z47Ngy7KHDPh+UGT1kT4hc/Mj/2j4Kg 9PzuUAEKFDcHe840tqCePQpqZqYUtF3iZjakQYGZmLK7K+0dqPqmgNbLNDIi 2+evbJdRINGYkTPJawDlJZfpv+qYQb/LT58wjcChD4kPVFMPIvURl3HLzBkk Q120yPoLhx6lf13L0oOI+oaLGcVvBi0HnMz4k4PD88O7XMzSBpHD0klWU6UZ 1FXxaGerFYe805efoNAh1J4n99AvZxoVnk8Z6aefhbPXIyWoH40gbYmPt/a9 mUICh1fYxqRn4X7h1HMB/3HkUXddb8/vcTRg7DrP8msW/EYF9kYUjyNv6vJH L96Oo0bag2em0maB00pZKG1uHFXYWizqKY8jga/uVZU5s8BzTN03QXkCCR71 ey5EHkMrBcvyXhWz4MBhGVNAO4nMBj5Pw8kxpDDFdeXEyCwo3VrUaXs0hei/ UCdyu42gmELD9eCDcxDUvFGanjKDisx9K7aYB9Fe+2t9nz3mYEvs7eFzzTPo 7dPha3ciB9BrdEnlq+8cuLPJ+p1ZmEGKYjpKB84OoKs0DIJxIXOwd63GM/UC CWVFLRvtlelHO04Xjpb9nAN6J9N7479JaDrMcn+tTi86rdlMxVEyB3ftHTnN vclIqTaQV8GrE50N5gvDN+YAnWhwb5ygoGjPhgzVkEZE4V69kGs2D32c96a6 VihIW1Cgi4qvEQkUD9S8spkHj6BeaRNGHM2UHmUaVWhAvh8yIsQd5yFT/2bD WQEczcp6v5bTq0P0SgJL6Z/m4VGRgyvzYxytDpzb3fq5Chks8BsU/ZiHpcu2 D9Sf4chy7POjHOI+I/PgZatb0jyE8E+anbTGkfqiPTcWU4FuN6e+VUmbB3NF oX86n3CUL6qbhWWUIWa2xQ/DaB7UWW1VjxP9E8qf6viqtQgthQWqcvfMgxCV W0kM0W9q9rpYQ08hsslRDpkYIvxG2MolEP25/vq7UT3Rr6coiwdyJueBP8ti Qb4BRzctC25WDOahs9+Y6nWW54HWwORU1TiO+nuxdQp7BvrOfnstj30BNuTt 9rwmeEEdePM/g8NpqHTSjDuIZwE+51PLJhJ8OThc2xt4OgUd6nhjYcm3ALta KuSjCB4du+H52d0xHumvPW0RPL8Apu2yVHoEvySy+2VifH+gh+el+ljEF+BC YEZdIsE7oUyvXpOfUcjJdvPYzOUFuFv4MO41wccb9iazFJtQ1NP9K7r26gIw pMu5VhE8TSsavRET4YtM1RU0/9xcAG3vpwZRBH8FNFWL+T9/QKJjrar+KgtQ Le9wdZPQ3fJElAuWtNFZb6X3tvcX4C06d6CP0Ev0S464Rr8GDaVUsrbWAhTm UUiyhO4l+Mpxr7Mn5B+nDbihvwAHSezoPOGXbn8ej31wIKjulbURfrEANgPI /3/v5KzWG3MhZt/gCKeZ7wGrBQjBIrRZV3F0wlPxU5r3T1DV97afc1oAdxst w11LOBqRrdr1wjYRcn87yw+4LoBqdqm/zxzBzRN5Nf+e/oYHe5+o1HsvwNML S0GnpnDEnW08uX4wHYQPTO1JCVuAic9rZ0KaCV63azm6TOeC2lUu9fdZC2Ag cfq/4hoc8TbdumDblw/a161W7QoWYM9Q5n6rUsL+ytT8RkMBROrmdViVLUCw nOQHvQyiHpROKdc+KoL83v3yz1sW4GHP69Evn3HEODqcffZyGZjPjE4+wRcg UOX29KVzxHlDx38lT9fCz6drkl9OLcKbsXe6/odwtLf66YDjQh3IqQjYXBBe hLCcIZmnrDhqSPfPLt2ohw9dH/g7Ly7CTR2lx4+nKajzyMXeey6NgJd3tgvc WAQTrnt/SiIpyChS7HXil2awpB8ObtZfJPriYmbOLBl9ZSrJYQhuh0PsVh8s YxZB3CzO6JgQCeXc/2BdodYPnHruVGVHluCr942qn7tJKFSUU0Ctuh+O0TF9 CDq5BOqe3HrJpBnEkuaWpnp1AJplc18bCS2BXKF/GJYwg8iu19+2cA3CkdC/ WftklkCJbmvF59AMMvf4sjt7ZxB0E9j87LQI3YLhpi5pClUfE2/qKh6Gzw+l UzzCl+BqrsTjWIkJpPPCNiGOcRy85rz9inmXwVk86EYB8wSyNmGk85YYh6U1 A9vL/Mvgwltp4dg3jn5a3x46qDcOJFiMSj+7DFysetIzH8bRv70eD87/Gwf3 jxdyE6SW4epcA8/P2jE0035+8oDpBFjOSu+OfbAMWBfyEVEeRSNVr/od8iaB 6a6DRKf/MixHtzt3cg0h1lwLLhq2GVCT+/lZZPcKfIts16EbGkQxzAebs4Rn IHDrek3j/hXYbzhZSE4cRB6uvDY0qjNgsBSmYHVoBSpbvLU3/xtEd4YkDdX9 ZiDzmzF7juAKXFOMO3O1uB/Vx32g7yPuc/RNfuiewgoUsHzC3SV7UNBrUXnu ZRKYFLNF1LitAKPzlsvNzhYk2+t87ooJBe42Zugl0K5C25KJU8GTFmT77/Cp O8TexhxOblbYtQrnxui4Z6ab0cu35xLnfCkQ3qpiS+ZYhTjX22fMN5vQ6YLz ol2ZFLjv9cXg4vFVkDOxu6N+qBEVvvm7IrZKAW4u2up2bBWO6A3MysZUIsPi ipxeQxya/X7lqr5dhRim36m/kiuQZvTF2XArHOTPOXoxuK5Cn9Xp2vzscvQt nsQ5/gaHYDGbgHzvVTB73uvVX1eKzlQzuHL441DrMnLj3LdVeFoXveq9WIjS GgvzGrJweHcjVeJgPnGuyN2WRzcQSjs1frwF4dB2oza7s2QVZMple5JYC5Af 35a6dgUOdBl7rUJqViGgazrlpVAuSn7mnrCrDYelVk433p5VYHGTdQszTUOZ Vp76aBoHAVH2KyLrqxB74qz1D8cU1Dl97dk2BYcHIa/NV6nXAM+UH+/jSkZ0 zx69L53HQd+EsbuIeQ14o2TEa+/EoszTF6vHVnHgePxd9eGBNZiIoszKmkYj 5ZnKAWwDh3SbP9oCx9Ygs/WhAc4RhtZolQaOb+EgujUavXB6DaScNZ/NK/gj v08RRZ7bOHyak+MtEVmD1urUvIf0bqjrqPE7hx0cCtRqq/0l1yAkJnS7rckU /dzLzztP6HVH36YYYGuAPM+Q9klZwAMVJm+c0HMfP6qVvLkGnB8KM42T3cD6 E3+HNaG/o9U+svvOGuwnMU2uRviD27FbG/97vxHg8fo5/IDwG+YuOG8YBpfO 8GztJeL8ETqin6OzBmWGBR1Xg6PB/e760BniXFTu+o98n63B24OJrZtaCaD6 zt96dgkHhaTh0Wuv1+DEFbOIJiwZnl7iEI8g8iY5OOBw1GkN/L5gLWG+KaB3 9sJOM5Fn2vcMt7Zc18DnXY+KjHUGhNJ+nW0aw+Eca6NLbtAa6EDOqzixfJAS L5E9VY9D9WX1T3J/18D6UsNsY10ZHHz8O+C6Ow4Y9bFsn6U1+MouNN/fUQ4w QfvnjSMOxm77OAW31yD7MeWM21AF5Ck5OJ6xwOHI5O6BCoZ1oBm2RP4LVdDc uc3Wdw+HQ1IHc+l51oFepuX9IY56wNiWk3MP4vDhgK+X3+V1+PKvv87mYAs8 5siN9vKgwETLSsys0zqkaTkfpV3rhn4JP1Gcjgy7hRMCC3ZtQEX7ipKCdQ9M F+mnXpwkwU2GYH+3/RvQfcDkNDe5B9y2HJ9uVZOAJdtrW/XwBlzXd7eWGuiF /R+/6rH4kOBskg/vjNAGuL8Kcjf41w+bF7uTRNlJ0NSwYCmktgE/X+3RKhce AsuQwS6x7WnI5JD4shayAWq0wVZ+QaNwdtwx87HTJPS/DfOLPrUJ4SqTN3+V jwKl9HrTt/uTYH+FvndbeBPsQ9SdbZZHQf7kM4d35yfhh7OanpbkJpyq3Dm/ 794YmLhLrwt3T0D8j2DBI7c2IaCy1eMZ2zgcoWc1uyI8AcZ3a2N+G2+C2LWS 5E6LCbge+ZwzsnIM6hUHBHf93gRpVr1TN2anQDh/oMnm3zAcjE+KT5PYgoqo yEvb+6ehSDFwSdJjGL6/cv19SWYLXqjs4VCVmgaV6tJTGfeHIavu2vy/G1tQ 4Cu3UOo8DduidzrbKEPgz2lyof7BFgjHr2i1s8zAxtwuz17eIaBlNQjfstuC ox9eZJ/bRQK5unjpBy39UOJPxRxSsAUjPk4tejlkaJTFVBUzOqCSrV8p7+Y2 bLqxTpo2k2FErD7kjEQH3FZTheNq2/CT+tnu2WkyHGY25I7IbAdLzfNxHo+3 4SQDd73GQQqUhrM0qWW2wedSvg4ds21IKqx2L7CigAtmLyOY0gIio+Qs3oBt 8HswvmPEjIOHs/W7K4INwPRE+E3XwDY84bQ7Wn4AB26NK68njtWDEZtw+YOp bVitR28CzuBwJd97HwtPHTx/H/yxY34baKGw0VUeB2/xGNFymhqQKYh50kO/ AxqWrUG5RN2/PJbLF9lcDndcYsIXBXcgJSZv7lwtDlo3ua0ZCvOBSVWey9R2 B8rJ0vFfWnAwa6My/xWVC9eft2TSvN+BB7v8lfS6cZBqFt/V5ZwNx25UVod6 7sCyOXlUfRyHx/+RhkiQAb/vkdRrI3YgI8w5xnoGh7R7i04TR9JA1423+ln8 Dtg8ZhyimsWBLxpn5tv4A+lO6Rl0aTsQ6fbpi+EK0eefcyUPv4wD0dLD07Jl O/BZsG5AZh2HVbs90vPC30Fz76z4aP0OgEmgicsmDnqNwf4D7d9AgF9wybVz Byqn3p+7TPBL5VV4ktrtQPDarD8rOLwDx7rrubUI3okqJalXuX6Cz+E9bY0z O/DlnOIZCqFPNH2lzI1agAit6vLrpR24Ef1Um0zosi/21G/IWSILEWGvozs7 cKaNJ0uD0I+9rXlx++8ndJIjT9GAjgorvspy8SLhV0w3oH+fQSAi4M56hZkK UxU1GXQi4iyVTXkXSfmG5oT53NjZqDDuONaCS8S5wiU9NZqufEd1LQP5kxxU 2Cr5Cswv4EB55MqTW5KEzK+/fRh6iAoTmdDdWcRxWDbee/4NbQq6uE+zwOoY FeYtPitoSOR563aYSuuJNKR8jdKvdJIKS7fZ4QsYxKFfQa3U2fAvMmoUvkMr QoXJNjXxqBLfMeqi959i12xkKjgQNSBO/N48bdCR+O50PRv1AT9zEZqS/ZUv RYWpBP/VPFaKwwle2bni0QKk+uXUgq0cFcY6srwnhtjLK3ZmDh5KLkEnXQyu rt+nwngeXjqzOwAH/pjzV1n+liKWUkf/ssdUmMMVkiuZ4PIRsT3G3wrK0Gdx t1BfXSrMotW7jc2SqOdPpLCo+gr0JtGmSNCYClsRC0/uukzMG+PmqrCpGjQz le38/A0V1nKPy7YigwKZgW6MebTNiDWrM5/2BxWmtB1icOkaGS63L14YHOpC Bh5vBIvmqLC+7WLRjtNkyPM1y7iv2Y1eba1vxCxTYQkHCoeXWckg7OFm8Ki9 G52NeeHsskGFPf4jN5DVQgL+j+821it7kI3zyVglemrsnt0eUeXHJIi/ervj ZXwfCv9Coz3CQ42lLJL+yd6dgbgvZrnScYNIbOeutxhGja3i6wmm05Mgo3v4 mf3+UfSSU3P4gQ81JkdP77hZPAlbt+6VMV8fRVU6Kn7r/tRYM/lG4rmwSXj6 30Sios0oas5p6P8WQo2Z3nN6Y60wCXcfOwuOto6izfDXt8ejqTHV8zIbST8m oN9H9aj6lzH0m0//3dsMauyWGnO6+s1xqO/6VBiwMo78uVLkaruosT21h6LP qY6A494cWtoPU0irep9Y3wkabHUu/tcpvhGgNAbTBMVPIeZdCdb+Z2iw7dmq mC7SMLTuFpgtr5tCzx7XqCoI0WBPmvE7Bm7DQE8S0qXinkZSglkjOZdosEW2 +B2RnCE4qSVgUPxjGsm6CWpHKdBgaS1+uvJ7ByGtZcSRLXkGNYi4JXtY0GCu xnvSj57ogmyKoeRLUzKavsXytzWfBquJfb3rWFwnPM+Mie90IyPW5mguhmIa zIlePSDtTCeYKbtrZkeTkZvjPWHJChqMNtKJye98B/F9bQonWsjIRZL9U0QT DcZA1/vVWaQN7k5Kq6+LUlCiUnef9TgNRtllf2yfQBNMpGjdDmylIN+xNNar e2kxFVulZLGYRjjobx3pOE5BMv6s+BtOWuyxiZANI18jHBA+uvt/7xlyeu8/ 5R2kxbSUbYfShesJ3ZN+lgdH94yLxyUFaLGVU+bF5azVcOAYxeGzOo5+7A+Q lb5Mi02piZ0/kVYEXkn7+O6n4mi4642TgT4tdqY52EkythAoWxkr5rk44kkO HUk2osUk5MlUdCIIrNP/u7BRjKP4mKadZTNarE38BuXzWi5EjU1dMSD21KbF QF1PO1psbd+TqtC+bOj3Ky2R68KRkerx2Pa3tBjTD55B8aK/0Hplmd9/AEeP G6ujj3+kxf6oHv571S0NiqjNtz9M4+iWhEVJ/mdaLLsx/GW5UQpMZLnLC+A4 us5rOskSQIvZFX3pogn5BeftIhkuLeDoK79r2aNQWuyterDc6uN4cKx8fiZn GUc3lPM0EiJoMUWdcWFnvh/gm8gXlbSGI6Uw1vi177RYOzeD2uOySBgkfdRi I/b7RBb7ZIUEWqzjBMerU4rBcPzJwP2hLRw9Cad9Ef6bFttvr17HGe0NH3dv fvjfe7LVnYRBSjottqRuR/3nvh18VBUa6CD07pMv2GRzaLHVgLTVt2efIOsd FYMNQv/Kd2sxsIAWo2zNpn3AXFCYcRGnD6FnXpbzmy6hxVQVsvfS8fqj3cZG 837bODpt+2gSqmgxubfhzywCwxDXncwdBiKehQ7P5cB6Wuz+4sUnKYwx6GF7 yLWZdRxxa3Tnk1poMXbVpg8Prv1Ebtve1bCKI//ta1euddFiXkfXHQ3zf6Pd oRdqpeZwFPzbTHdphBZjvCB1rNUhFZ1CNs8GSDg6nHueUWWKFov+VGd6MjQd NeqS3i9N4GhzgskwgUKL9ZGNr+Y0Z6H09ruB1r04Kkvcp6S7Rovde2nBJn+0 EPEwbIvkFuDIsdY+p52NDtPeE7DXhrcIXf84YP/uL44etQVFdu+jwzJ0b7Hr chWjt/X/fa5NxtHv6GMnB3joMN0w1QytXaVIMRuFUb7iqODjh/3Tx+kwGj1h Ba+5CvTMRfSjoTmOrF/avmK8RIftsinXfJLUgPxSqlVuU+PowvpJFV0dOox1 QtZFSasD4c9IR4KryYg5MuiuRwod1iN1fI65pQNNcdzfI5NORrVcnvIxmYRf KXVW45udqDTVOMkijIxo1Sg9ubl0WEPHBf5dYl3owaXrWvbGZNTDQT1OLqXD 6k2cJyKoepDF3vBbZ2nJ6FjBA6fHXXSYhrN/4PtP/aiA7Rr7Az4SosurKlen ocdWQpxWj0UOI4vv1vb7GaYRv3JhPFKnxyR/vqN3bBpG1+Vlq4uHplDJ79bA pkf0WB31nf98aEfQ2d8Wv/f8m0Kme7kOj2rTY03dZtL9hiNob/KElpvVFOpu 51tnMSLsyDIfYTk7ilqfm9RvdU4iLgsVis4bekxWpURsPXoMpdhOCbkFTCC+ 1iPo5E96bLXXOuXt3Ul0elth8G71KLJ5+pbm9Co9pkDzqPCnwyR6tMhXvf51 FPGNiknc3qLHvp38HG/1fRK5e+WcUH8xitoN99NY0zBgzsVcvxbmJpH/79r1 o7tG0QNzbeNCVgZMIzbP2sNjCp0tPLHnkvwIKvRis3l6jAEzNGH+zydhGlkY P/28kjqE+Nf6rUoUGDBNoSVrvTASCrON5jv7uxedCsH2rn1jwP4cZTFRzyGh TdL387YSveijZoni9+8MWKFXKFd5Own5urpevJXfg0Tj66WVExgwM1V9hzN7 yYg+WzPSsbIbWbe9hZ8ZDFjLYmbVsCMZyex9t0e/pxP5ul2v0K5hwIIZW5hz /qOgG0/OLnGSW5Gcgsng3CoDljvmMup4l4I8DG92+Ju2IpsPr1/GbTNg0k8m HuQ+pyDXHUmRLHILmpfbVaBFx4iV/HznF+VLQZ176o+vkJpRu0atZe0eRqz4 8o+IvX0UpBs/pvd1ohHJDGY8TjvJiKlI/NslpYEjKfZkiZqIKvTxFp9UlDoj ppqt/8r8GY7qbppc9gmqRG4raQJPNBgx07Mo7eBLHJ0SZ7sx7l2Bus81VBzX ZcQiHusU13viaO3ItwodhzJkcD76XPwLRmzvlGFqXAaOvtMePketVoS4XJNs 894zYofpJlid/uHoiJ0eR/+NQvTR7AP7e3dG7KLWn/yqMmJOaGcmjr0qQNL9 Izq3PjNim0883LNbcZSr50b5JZ+LQu7KHO4OZcRk7c8Yrs7gSJnr2/G9o6mI HPjoIF0qI/apJ3rCcBZHd/RMJoMC/qCybBudxr+M2CRHeY/8Io6kS8UC3+km oYmnBzW+5TNip4wNRMNWcPTULoU0LxiH7gfIs7woZsTIjcVdugTX3I2P+20t xyDO21vmUpWMGMeRwMoQgtdFygfuPf/wDR3zvuLJVM+Icd5gXJQluBn/oSFb jScQvVan0exsYcTSXLPVdQjOyrpJ/ocefUK831WH47sYsc9u+WPEvRqNDCpo NdFZIja7M0fsBxgxVouwH8Q9HIW30J4/lWgBd9o/7VEaY8RgXtX3CaFH7dkm G5/7BD25Vn+PzDBiKwqqv28QfqOiD2gkUAdC2slRjvlZIv6LTlQRRJzPj+Ty F5p8g54D/SfKlxkx9j4Jn2fEufQu3ZVNnIkB1QBd0tdNRmwuWU7/O5EHEVgI jjoaBxxBL4wsaJiw2Pnh/VZEPm2D7x2V//QHHIV5Px5mY8IobYpP7hG81nge l2GQmwp57DfJX/YxYe33+D7+I3jN4v7VeuRPOljyOy7SHWDCaE1KAg/14chv pdN1ITQLbrat9VL4mbBDbNu3eYi5fiVmMM3PCEGylSJXtRQTli7kq8hngyPq Npt1XtsKuBAgfzbCgAlLWLV8pGmEI5VAh71c5pXAaDZhzfuCCTNR33XpqBaO 6HJbh1INqkDt9efHoRZMmEcdy9H/5HBk9u9yN1KtgYc883TBDkwYtXzc9SZm HCXb51nWnWgAzoA9haG+TJhd/Lv0QGcKuvV6ICnvUQvcsfrekf+PCTvzpbn1 kSkFSa1q6Rk1tUC23F/qayVM2Kl/x/3iH1GQNb1obPXNVgi71lhVU8mETQq+ 4JgQoaBvIWlBURfboL71gHhfCxPWrNU6MdtFRs/jSg49Z+uAUSFaS8ZpIm9a wr4fuIj73Jdkla5f3dBWJeRlx8WMBT85z6opPYPOlTfUBNUOQtHXKflWc2Ys yeLu4Uc8M0jfsa/fjGEIjCrdOyZsmDEbyqt7PQvTaNyfsWgNhmBzX//RTQdm rOjPr2ZLgnsf3J0G+dOGYIkuafCkOzOmr3Eoeo1tGglfufQ42W8YuJTr97tE MWP1pgrOe0sn0QGjxA/ZcqNw/s1lFf0mZiz+2vm02J4xJH5Xd4lXZwLilRNY f19gwXRR+NOUBEJ3ic2y9J4AscusLZ1SLNjgQYmeh6/H0NGdohTNvAmIkxO4 S4exYNNMwVmu7GMogzeOCeecBL0UO2ctJRasXKTQyfzqKJq9lUqDl00C61yS D48BC/a4LaDp+pdhxJCjLpSydxrE9lx0Tg1iwcTeGh/9O9SHJO2fyckpkaCu YDDBbJ0FUz60b2TBog8tW3qJFhqRgOWd0KcbVLuwGuaZq/92ehFzin5trSsJ LGqNWPgYdmF7ukRb13h7kcHTLzL+iASZ2/Hz/1fBecdj+b1xvEKJBw+P50GZ SdmjKCrOkZFQIlIqZWU1jC+FCFE0CA1bsrLKShIOsrP3Jptn3KWQld/9+/fz Oq9zf67rnPO+znX+uDu42aEh02qOgdEgKm+3+90gQweSHactgBQ7LEAcuRPv etHA02Kr+ww6eC9HfqR6kR16havnfJTpRVGzt8WqmRngVuDxoD2W7DDtXiWL RFEPelTBrBKxhwGuXDfav2nDDmsMHGSINd3IX6BqW5M2AxR+Bvo1d9hh0QsP LcHxTpQq7KWYEMUAht0n5Swes0Ntl0fm18itaCUtUy1kDwYotZ1GqcXscEIl lqtWqAXlbokOaUhhwC6n4+aLMnboz1Oc81miGYWMyhh6H8X7YMEKGd9q3I+z +oKJchNyjO8p9zPBgF7MtfCLrezQ0n5ZsMWwDvUomyiWBGKAZVstnTLDDrfr D8aymNSizLTFiPDneL+uqLiHlcYO2eXD2+Yv1KAve6OOLLzBgMVCyNzqL3ao m+X7o+ZaNSJ93ZkhmY2BM6s7nMc22aFbuSzBbrgMzedq7K/7joE9wQK7CsgE GGmpI+I8UYpC7tLCCzsxsPjv58n3ewlwuFd4YedcCbL5pS0nPoCBpe3Fokli BFjoqfVTeLEIVb8XiwmZwoBrCmt1mBwBatl0d2UtFyCJu9HH/OYxQNN8Hfz4 MAEKfndH1LU8lNSYVLhEx8ALR26qvxoBjq9tCFxkyUIebPmzjksYMDZtj/PQ IcBTg1PQk5COmnS1gm/8xcBtPt5ZFwMC3K/4Ql2d9A6l8d1FU2sYKLTR6b5p TID1/tVPvA7Hozpr12dTG3jfr2Zr42hOgMToTKHd8CUyGNKfsvuHgdI3Li9v XCXAM81cOhHRIYgmSqxy2MKA9wMne1sbAjSIVpSwtHJF/n1Vwv9/d7H6aTxs 7UiATO09C2YjN0Frsen6/9+33RcO/La6Q4DKbb/91UUeg8TI/AveuJ53az7b yoMAa6JFn/pejgLr8fwnQ/HvImzfrJYPAZ5nq6/nORgHrJgnY4U3MaBauK3i QAABZgbVO4t6JYOMFrcbx9YxwF8SqMj2mAAj1CI4PSzTQN7ISvYwngfLf+81 GM8I8PVwhN89rUwgMnrnP5ZlDLA9cp/rjCTAOHkjbK9kLpDbm95UtIivr9GE XEk0AS4GHu1mulcAlrJ9TTMWMOCSlvM0KJUAqWMMhRjHIvBWqSR9YRoDxYdY U52zCPDmst76uEUxeDI58a1oHM/DdtaL5/MI8Cxb32WnE6UgRWVX3kg3Bhas /0TuLyNAj5KBZf3NSlC5S4ga9BkDzUf8TVu7CNCySVf53p8q8BG0iW//iAHt ts3TpQMEeIRCPWpFrQYvywT+MqdjQDRTZCh9DN8njzkWzPtrALt3x2ZKJAaI YufaA6gEeJzjd7LrhwYgyyyQpXUDA2VitjsBEwcUsaj/SdrfDhJVP39VXGEA 7RsXk3sPccD7V8xVP8S3A5VWvchjswwgTt5j3KzKAferelzfTe4AiUHh6629 DGDH4h9frcEBY7Y25NaZO0G12vOA6CIGEM1S3ZmvzwFdrIVWYn90AaJXftwn J3w881WJV9YcMOfBQBh81gc8Tu0uNK+iA+EN10jvSA5Yv3iKxBU3CnSmmcsi 9tCA+d/mg6WLHDCvyYkrhXsM/MBef1xZpQLPB76HdFc5YHXQp/05j8cAQexj +Hg/FXBnnfnTucUBzVyVPrKpjQN9lev26q+ooHDeMIFB4IRilbleLKI/wEqh p4wyKxVU8NQHyR/khOE3LypYjU2Aa/VCX971zYNe9qzM9sucMCj0vtSa4Az4 sTEWZyY2C2RjpQ0Sazlh3OrtlrwzM0BDbNz0+uIMyHjRpqbZzAkPvMovZfKb ASO8VE/mbzMgXvrl2FQnJ4zsKeXxGZkBEse6dQVtZsBvvfvn5Mc5oWIV5+Po N7OAwvc0NzlxGjgqNNQ3rnHCVyvcc4Mrc+CoTOfvWqYpcDnlLEFckQva9r+N 0Lahggu/Jw2Gn40Dy4MUumUcFzzyskGl5CEVeH9zF867MA5k2z9MpSXj+tv/ CitTqKBNzPCctug4qAhr8qFncEGZ8K3TYRNUUHeMQ8fabgyIn3ka4lfEBa+R gtI5L9NAUJlXj33mCCC0KQm+b+GCN6RGssBROmB/NxStKjgIUtx3vyZsI0JH NheupnN0QCe79Ba/HwCCngwOFSYibJpePT3hSAc58PLBDuUB8B/Tq56rO4kw JLvha2ksHaSXEHl+GPSDpooDpnkEIqSX8JzbvkIHC9t4apM8egFTyRXOSwJE uOOW1Z/oGAbgpmz+lf7SCTKLeO5+OUSE+g306t5sBgi895VLE3aCw3ZE6owK Eb6Mo4oklDPA8ezjJGJ9B0h42/aBV40I972VcaseY4AuZKM53tUOyCWREq6A CL/T/S86COPnyqDz8Fp3C4hylGmXMyTCrUfv1RhBGJB4S4p6tacOoN50gWI7 IuSpc34QHY6B7HALpkSxWnBJpTx0zoEIq5yyh+tjMKDycljSVLIG9Ai/Or33 JhEeCO6Dn3Iw8CVuC/UrV4PbkaElAW5EaJVwta2uGQMPLzRKX35VBhQ3gs6b PCDCE3LOk6+6MKDTv6ImmFQKuvMzNB8HEuH0DoWd83j90M/6Fe/xvgSYLz59 UBZMhJ+7jvDtxblTPpW1xFVaBJh4YxYOPiPCswERsjl4PaiRda52K8wEMwO1 vjtiiHAs19OrE+egJDH0Tv6tNLA0NNbhF4/P8+9O+A2cm4/5nYXCDiYD1tZ3 D9eTiDC8vMDaAeds+PlXH1WrY4BIHmfUvRRcJ3Mv9OFcnhkKNx9TjgCqgeLb ltOJ0Eh9TfgTzvHuRM3E22cDgJn2jyb3LCLseum9+f//QJnwE9mL7AXA3eVT v3/lEmHG5+NBJbg+s+FW3D7nj983zb1c8olwKTCoaBSfX3/6UCX3jghUK028 ihUR4ScutUg33I83K//VW+Ex6FeOa+LtEiIcejso/h/uf09VFZs0ZzISE7mv zvhKhAhbC63E88BVqq5Gis1EYV1PXzKqiXC2/Nk9dpzvw3FlS1ZjuaiBHGF4 p44I2Y8pGdXg9dXtUgQbL08+YtUD1j8bifBRUjiL/yR+P7CvUJ4x+4Qi7r9O /92OxwXUeR+OYCDyPV+r5t3PaMgP9Hh0E+EZiSmHP734PlHeoByK/oKkXSOs /vYRobN+tuW+BgysSzI3ZvaXow4Jxah/o0Q44v7I/mMKXs/OUrrdpL4hw7aL Flx0IhRiaDd+Ani8sb+UCJHf0fI+83snd3ND0/a2X3mKGIh22W6wJ6EZ+UiE BzQRuOFSdI6nkBgGrsl3haRltCAWfpc5EyI3VDvdU2SwDQN8o0aOol/b0P4W 2TZbPm6okWt6i6WEAdqYuIMi6B0o7G7EtucS3FCE1dxejQO/zwmvvU7a7EHk ll2/GZrcUCuE6hxoTAMFOu71LS0jCPN+T1n15obkD5MRa0o0cDsiYPU/7VFk 5+wlft+PGx4baLy9zE0DnUi08nXpKDqvFfFkK4Abui4xB/m0U8F++fsLmmlj KDrzlf2uUG74tduH+/spKjjRziW99WUcNRn9urL3DTcM6TukvlN0ARydmTPK 8p5AbTv+KJsWckNd7eyDT31mQe5NjThK+TQyYzoYu5vGDcuP/HUuPDML/KRj dygzptHYRDf2BuOGCh6nVv4TmQW2nVYVP4Vn0ERmY9KB39wwVo2Lt74K57jT 0wHtBzPImPGYU2eNG4ZtKxap2D4DdjreC4XHZ1H/OfODj1h54O4zj4YK7kyB RvdzI51Jcyj4vqaugAQPjM2RYZ7Z/QPkfftqKUOhomu3tdQeWvJAI5bZ6pLu cRBkQD184SgV5WScZIxa8cBrAcaL+knjIIdES+G/SEV7gtt/HbPjgTIztL68 w+Og84nxNetovE+SjZ767cwDp/g1Gg4VjgIx3/S5dRINJcr23XP04oFjYQJn ZVSGQPft8x9+LNPQ+9+kKzYveWBAExvtLKMLBN++5ZPswEDi8SEckU088FPN vB7hbhfw27oaQ/VhoN5LV16utOBx2c6s+211gjBB2cbKMAbK/VrheLWDB97e kxD+lAvX/eUBeyEDVTkrbJPu54E5qjYD7rLtwPP9P4LAMgNF+VYO1U3jPs1d OBWKG0DPYYeTE3YYardPPsO1nQQFgN3gzsp6kCR9wB+5Yuiz/bVyL2YS1LYp ePawsQ48Tm0X3e+LoUr2HJ+pXST4nYnm7D1UA2QBbSQwEu+z4a/JUk4S1NU9 2l67XgkG5Kp+RXzG0KCFjI2zIAly5V7wl2WqBD+0v02lIVz3sTzVL0KCarUD odm8FeCF8iQXrMfQJhT11hEnwQTVVNqmQilwG82O29mD99Ofjb6LSpMguVnq gJR1AfAtY20eWMBQ/gVLwaGjJDjJ2ZxTrZUH7njs4HXHMJS4Ohbz8jgJxtui Qgn9HJDGn3vh/m8MvRsrdz8LSHDdP9xLl/AeZE51BywtY+gr699MVi0S9Bvj aF5rSQFt823Bo6sYWvgv7MQ3XRKELCbx2cJJYPicn9nRDQzJ7Q+Q8dMnwUDn Gr2et6+Bymv9ma1NDD2itHuqnSVBkanhDiWdZ+DNFylF1S0M/THwEV4yJsEq 9WuS7i88gZV1nNw4rt+tCdyXb0aCdy5WS9d13UBWfzOHVnCdy38m8NYlEvw8 yUXfUfAISecvqD3A9Qq/dCB9lQQLNPvWLvRFoc0IX33PfxgKqKy+OHsdz4/Q c+bzZvFI5gYHzwju01zneGuqLQlOr1Wl2Du+Q8SstjeFaxjS4iC+tXYgwTfq 1LLOjHQU6hQ0vbqCIV1+zVbRmySYKS+ubyP+Ee0y9SL0/sTQs5XPINGdBK8w +Wgo5eUjy1Qay00ahlq/bwZevUuCrbU9PFatheiLfMkut1kMHZhM2ifkQ4Lv xpzUsneXoDTHdP/WIQxRhv56JgSSoPGch/od9UrkqjR0ubkcQ4vYpvu7CBJU 8NvkK0lqQJMKR5I3bmAoM9cUlX8kQZJQ7KpGViOak+qRTbmEIVho2RBYSILA b0PQpKgJOc9WXygzwBBtvUZO7zMJbjvg6cxW34wsJVoCT8ljKOhCOkd3BQny R+epibq3o9FdDoUNNAbKVywT+9lCgrIKv84PPuxGKyZuhqVGDLTbSzlOjUaC 5d5eyZ6XhxFQUIj7+5GGsi+Zd3FL8UK23k32reZhdPbJ96WUKBrqKKl/mizL C/tWL2pSNEaQVFn+xqgnDWl4lbxUUuSFrDeOCy4IjyJfumMPywkaWhDaG21y lBd690XbrgyOITXdivviVVQUuTxlG63DCyX5pX1eJ/xAh7tj/dg+LyDe6SeU w9a8cNLgxTn9hikUn3ja4ITZHJovFhlMjeOF9vSLPtf+TiHJeu5H/TJzaFQj /p1GEi/sTItS3Sc5jQ45y1eQd8whPsmYr/3veKFVX/H93EfTqK7dtcQjdxZd F+Yd48jihbpDan/qwAxqNubaP7o1gzRiOWk+JbxQYbLjuEPyLDJTfEqbjZpG sm1kYfseXjjlPohVCS0gOlvGmVHfCTQmd2vCi4sMjxUD5wDNBcTSZtv/V38C Hdb3dmAnkeGyz2TxiO0C2s10Xq+VbwJNek4fT6CQ4bujhCynrAV0cC9tJCfv BzLZ3ttUJUSG6VNfK+sVqUhIZK/W2bFx5DooEsopS4a1hMepYtI0FCjB6fTW ahR9SLjwuFiPDFnbjInqzXQUaDZWPmHah2Qdzj2BgWSoZfZEJ3+Cjjw09Fd/ jPei3nCRsqFgMuR53vWy6C8dNZw9Vv/kZi8aqjc8fjeUDC9sf3fEXpyBLnvP rY4F9qAlhyqxjy/IkPP1qX53dwZaWa4TaMzuQjfvkML3JZHhB6G6jIVNBjrN 5reuNt6GzJ9bUPnKyFB0X/8hOQ4MOTgkTLNjrSinlO33Z0SGJy1vuKztxZC0 G/sfh80WdOUvv97Fb2SoJ71bQlkVQ5pDrdWd/M2oOdVoMKYJj/eRXI2wM37+ 1+7bNeo3IFqVRJLoAO7/z15SZinO8VnXW46JlUiewyPrxDIZ2p5nuSrxDUOh Jtd26EogRE/lbFJcI8N8/ypH3u8YcnpbkCXPUY4aJUq1Jf6R4UY6q6b+AIZ+ +Uah4KES1Dmha8C1kwIXOGyaX4xh6I3Urc6d1cVom4hkHzMbBaYcVYw/PY0h Mt2mYN/7ImSovbdijYMCS+c607hx/mo/+XLsnHseOqJ/NGGWTIHBcVJFojh/ b36dk5/Py0E90tdfjQpQ4BWp5Y/J/+eviPX5Au/3KPxP7FyPEAVWzaWEvsT5 a7LtZgKndipyzJh93SJGgTKqFOXVdQwJyd1tJHK8RZZaum9rJSjQvuR9ahvO X1EzNpk32W/QrYZi5gopChz1Uejiw7l5yf880ymvMBR3RK2mWI4CGdIrXzr+ /37O6n0lT8UHTT5vGf2oRIE6QrVmm7guzBmkFCNsAfRa3U0zVShQ3aEvLfb/ //0om1+6sy8INKzISKSoUaDqxFR2Js7f5cWIxEv+kcCWbflcgjoFbt8rdFMa 96Ou1LEhicUCkZ2dfW80KVD5tCRdEPffzbbdoPJDMvi9gL5E6lBgnOxB1YC/ GPK4pu2ZMJ0GpkvQ8vPTFJgwXXDRfAlDawbVJwUEs8DvOx1hoWfwPG/ImV2i Y2jY7dh8u1Y+sImRbg8ww8ffzTANnsPzH6ITqW1ZCGrY3bz8LlFghk2Vi/gk Xp9S9u21vvcJaNp/9/W5SoFTibutinvxerMa7OSR/QVEDhS+8bSjwIJE8cvH 8Podypw2vM5SBYKzLxNdPShwj2mU/Vouvo7e7iEW3NWg4cahSBcvPG8xyy/l UjFkPOE57CD4DUiy773j4kuBEdRLTIwwDJXf9PwZoFQLjnPtO+YaTIEN/hHP hq/iceX+1d1v3gjymXeR777CfXJaq6X8YCAXAdbv3HXtYDZVdjTqEwW+Y0Ra 0ALpyMqMLyiroh/cKp0p516mQOqbnkELJzpitH49lXhoAPQOOzv1rVIg/ayW p7kxHX1kV/BRTB8AJDb1GwmbFDhYX/ZwQ4iOTp+mqEg9GwQcwd8MpFn4II37 28a2AhqKTnhuc/z8MPi1cb31FC8fZOvqIRrXUpGyySknm+YxEPRnJD/iEB9c uG3wyTh+HlmlgeBIhUnQtmP81/U7fPCf64XEa57zqEdpRLPTahKgBzOPFd35 YPXH/p9s5+bR5QO1i3VRkyBol9qtbXf54ItbdhIndswjZ8NZ2eblSRB6tFoi 2Y8PWsqR7QSs59Ce1jviSl+mQKiA3dmZ53zwydJXpEecRaWk7YRq+RlgNE3z fZDDB9vvh6RwyUyhxbObT6T65wBzPPMF+jwf/KY8nmz4ZxIZrnp7H2OeB9vl vt1VY/DBQ9WGl6TKJ9GOAIviToV58OmAyUbwIh9sZRgL1Z2ZRHpu8s2vgufB EdMfcqLrfPB78J/ALKcJZL6tc8tIZgEkvak5dInADwuPkzOJL8fRIitWNmdJ BXyVid9G5PnhAWM5FUeLAXTSlnCuxYoOct8kb1f6jx9+2kGU5h/oRzEnwjIs felAGNzyDb3HDxlWbseNzPuR2tlTxVbRdACMdl+ZuM8Px4s/+V0z6UP5gxWL pc10kJRZoPkqmB8O3gx/fkarB4kNxZ/LkWeARt2mD1uv+WFDnEZiGE8HanGT HDrQxwC1+ziIs1/4obChid38k3Y0UEcPiJ9ngFtmYyU6FfwwZeDu5T872tGT QL8dvusMUP8zoCa1mh8aLWbJ6k+1oBCltmO+Qhh4Y6XKbPudH3occSl3j21E 9genm1wtMJAs4yQxO8wPNfXyzcseNaBfhwXuqDhgYCoFTen94Ic+E+1xYW71 KDDs1BMrD7yvDZremT3ND32vLCxN6dWijKCj0ovPMTDt/87dhcEPn+8EPu6H a9A+PXfVCzEYWIlTq+ha5IfvPJZC3gp9Qyenk9rFUjHwVSTZ+egKP3SSDr7s uqsajVlkVJh+wMAhwoBP3Do/9Evfp0T9WYmuaph2MD7jfafVD8bWFj/8Hwhg 4s8= "]]}}, AutomaticImageSize->True, Axes->True, ImageSize->{213.02513324845205`, 433.1003141190614}, PlotRange->{{-0.9999987292475586, 0.9999999953039612}, {-0.9999995427271597, 0.9999999999998699}, {0., 6.249999744897962}}, PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}, ViewPoint->{1.9654011802486195`, -2.7227362357491907`, 0.4170198930694593}, ViewVertical->{1.0588770420474276`, -1.1144221613618872`, 0.8706393471587328}]], "Output", CellChangeTimes->{3.461023774845891*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ParametricPlot3D", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Sin", "[", RowBox[{"5", "*", "t"}], "]"}], ",", RowBox[{"t", "/", "5"}], ",", RowBox[{ RowBox[{"t", "^", "2"}], "/", "100"}]}], "}"}], ",", RowBox[{"{", RowBox[{"t", ",", RowBox[{"-", "25"}], ",", "25"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.461025114014386*^9, 3.461025161261098*^9}}], Cell[BoxData[ Graphics3DBox[{{}, {}, {Hue[0.67, 0.6, 0.6], Line3DBox[CompressedData[" 1:eJwUWHc81d8bv/bmDjMKadEUJatzSlJK0aIiFaJSSsjXiERFQkNGZGRklWQl OQeZIXvvPe/H3tzf/f11X6/n9bze53nezznv+34+sjdtzlmwkkikRC4SiY35 i9KqhqMz+4DrkN40g0HDfwoKOhgMcTjZd9tI4sMAGHQWnWtbpWHbJ689ti2K Q2r7CEP04hA4S+5ayFqi4RjexZtnJsXhlSsmO69ajgIZ1QdrNjM0HPQ+uTGq WxxGhmiOs2aOAe/KQ6TTkzRs+Hb+dmWzOHQJEjq30joOpm+wsO2YoOGP17sP LVeLQ4NDfzw0ouig0Octd/cgDafef+dtmC8OxRa9l1sAAXZJX+XL7aNh96/G fC9/isP/nCbt7L8R4P0POcHgbhpuyCsq/fldHEq5+QtaEgRY1Rkn23UwcSKq 8scTxKFa9fqHMwwCWLSn0/RbaVjQ4PG8TLQ4fLj7paxwFwGqHriK7mqi4ela dOtSqDic9tsiP+xHABWO4xLc9TR8ZesX6uu34lA2zE9HS4gAkSGCUv3VNKx9 Yt/yHx9xqMPb7DZwnQ649zRtwpU0nKlutHHdQxyGl7/d2OA5AR4WRMiGldNw MkPa5ZCzOCR5QgUTl3HQeslqi2MJDW99/0LU7pE41G9tvfp1fAQkuy3J78un 4dg9B9fpZuLQYtuhozSBPnC2RvJAZDoNt8tTQmaOicMI0c1Z1T3B4L3d9VPu H2lYSjVvVYWLGTcfMHhamYjWuOXPGAfTsBHHM5HnDDEI4/UvDzpiZBE+pX8o kIbFooduNyyIwVopA60XDTVIpdjj0qQfDW/XCyh6PCwGg6dyWr1LelCrWOyN 6x407HTb9MTfMjFIsFitDhT2Ia3ke+YabjTc+nPzYbkCMXiq4W7U8+gBlAwP Woq70HBeq5eNS44YzJ23cHi+Moxcb5dYV9vTMM1vp9f+JDE4LXDFpf3BKBpc 87dJtqVhL5n7t/0/i0Hewd5j1nlj6OxbI9uXNjTs/Ezfe+KjGOQ5P1UT2TqB ZH6NPIa3aXguZ9Y5xVcMNuUfWBSPoyPvs2lOUrdo2NE/84yQlxiUSpu546BF oOk+J9fFm8z7oyxuYusqBudSMh5WfCfQVUct93pTGuZPlIhvtBeDaeqxVPtJ Av3h53+WaszkczJnl8Z9Jj+XVPipDALtiqr38r1Mw2mcqxPRt8Tg56m5m687 CBR4IPyl1SUarphoH+U1FYNvVd54SPgSaK3M4tWx8zRsFWsiZ2coBm1qOKf3 8RHo1rU9fjL6NOyz+0lQ51kxqKFl8DHwKh39m54PWD1Nw4rPD+vonhCDU/Hp 8WefTCCVF+hd80kavvrt0/4sKAbrxzJoanAMcafqhwRo0TB4dDj3vaIYLPli XLlntB8lszyKIanQsEb+Sug1mhgUMMnbP1Lfi1TPJ3KGKNHw/FvRBkU+MXi7 K4Ln8qduVBLTY6W4j4ZPFm/14GQTgx1qnkm3cppQj47+7pvyzDkayB5InxaF kXH1VLtDX5CY3+7MQkkaHljxXZepFYXN17TYbc5Hg5guc3FjcaZutOpWM8pE 4aey1kMOpnlgv2KY06wwDQdvWBPuzheFUgFRsXtZasHpel6wVZDJJzq8EPNd FDoqnqNrv+wFHhuGS56TmO8i/KA0fCMKzaa+x92M7gdC1tIK0mtU7Pky6KWC tyjsmnnCwhE8CMJ/X/LNWqLiJw3j5qJPRWHUwU7W49yjIOt6kf7wNBUffm/n MP1AFO6xfOZV7TIGtNNW09wJKubijE/qtRKFX/lyZAvxOKhlUxaRGKdiy5bK 8/XXRWGt4+cina90MBEX3XJygIpXYxZXf+mLQgHOO0YPLxDAebFFvbeHineH r659PyEKi9Ex2UOFBODWpXxy6qTi5fnZhwlQFKo+/aLbvESAwI8nSLQ2KjZN 6zGKPiQKZQ9NH51aIIDchNvNpCZm/F9BWtg+Ubjz3SbL578JkHo4649WPRWv 6AW7Be8QhRoTTavrugTQDKBva6+m4j17bqJAGVEYu9TvvJWpn397tnrbVVIx w0bG9r24KDQi1HZsy58ARkomY/zlVHybVhf0niwKl+d2MnyTx8Gg53u92GIq vifutO8DtyhcUTdeOWoxBh41/v2mWUjFAm4iGiEkUbjxeZTpqs4w8PtPze5+ LhWLPZRP/jwpAm98KKMQW7tBIRJb+/eViq2Hi4iyahFI/omlhq/mo72nawXf vWPyvKWG3fiNCLzFr1woVv8X5YbzPNwZQMXfj+ZV2HmLQE4bapiPQB3SJWBd oS8VzxdEcPk/FYGPqSe5ogfbkfnbb0GzXlR8ehg0ljwUgXd8n9o9WB5Eoc2+ MpccqVileLZR95wIdH1gOeKOhtF2hT8edDsqzpjyPGijKwJ9CjyP1RiNogzn lf7nD6m44gkPT+BREUg5phN5YG0cVW+6k5B1h4rLfhOcA/tF4PBiZk84Gx1d exDFp2/JrNPGYL/QThG4SbS+Yr6ejsbym+8Nm1Gx4rP4ajU5Ech60Ey3yoZA jjRytft1KtZdnOqxlBSBx9gef6LWEYjTQme/hAkVk/7tu/WBJgLjubgvL68S qPaaouHYZSrOTels0+UXgfnnXL3fzREowkjS5fclKt6esfCexCEC35KfBY/k EujuOY4o//NUrDbg/CZrTRgeSo7pOH+eQCqniaIb+sx7onm3xmZeGAqnJInb /6QjtuMto0p6zLmjogvyhDAcHixwUJucQP9AoRCnLhU/u/1Ksn9IGN5/kfSw pn4MWSkFXU7UouJfKkaPTFqEYYxVztNer1GkvPvpExdIxa1XTdmlapnxUzkh FMERRNp+9/MZTSqO+VLT3FYuDGuPdPtSUwZQyAYwMX2QikHuwinTXGF4cirw gcdAKypnGXJXV6Bir78nr9pHCMOMCecvPPqN6MNKdazAdirmOJDIdThYGM4J /jizK7gG3ZzLKe+So+L9JfYLXG+E4WOXhEKaE0Irw37Cnhup+I3FmagID2Eo M2msuLu2BOysPvilgkzF1304NnVaMPsNdu4SxdVgoUym8pMAFR9VRQOp14Th 96EXDtquDaCwkHf6AS8VV5P7Jz0NheFTqaHwHa87gXFWp7oIOxXPqNrU7Dsp DBOV/avSNw+B15+e/zNZoOBTdq9+Be0Shs1Bv9J/lAyDy8EPZvfOUrC/1adP dluFoZeo303346Ng69srEqxTFOzmJVV0bpMwdLZX1PcuHQd5XnvM4kYp2FL1 SjuVLAwdE8UmhkomgI+b+EvHIQo2rpaonOUWhqFimiymIXRg+B9rim4/BTP8 j7E0swjD3pS0lCR1pm48Gq+R6qFgPcdWx9xlGryXK15Sl0IAwrpxnt5BwTre bUrRMzQYWaJuuJ3pi37dwpL5rRRML9DZ7z1Og4c5ziYfYfqiF9cT4bsmCoZb pe0eDtCg7J3NszydBDh/5b2FRT0znnpj6UonDe7ht7j54xUBpC888VGpoeBx M6EC7SYavNSV3ZPLTYAxPatvPFUUrAV3VClW06CxHUV/8iIdZOucq28rp+AT 2skbpcto0Ff+o/1di3Ggr75tk/sfCr5QNvd8LYcGhxu2PEtVGANSB8ha5/KZ PJz4FUn/QYOHDNICRIpHwPCeZcsteRRMmRxb606mwfUasVDay0HwdHPV99Is Cnb/6edR9okGo953GT3k7ABpPA7alCQKfqjcmp7gQYO7Wu8uZG4vRMLNRdbR byg4qvzl7zhdZp2buT2csitQwc6ol55+FJzlIiH2T4sGr6iNOxoJ1SEbN5eY W68oGC15xi9q0GBCR/5Bvg3tqHSbUruCFwV/vzBufXYvDXZEZfc85BhEzvaR p344UrCw36o3nzANcv5trlzMHkI7ypwtA+0puDbILFRTgAZLCraduHJyBDVI GT57bEvBXtaxPQ84aVA90j8hYmEM7f0j8EvdmoKrHH4Kty1Sobold40PZQJ1 iI00brxNwTeTX5Go01TYc6ZsxJxERz53/0wzLCh4NPmQnO4YFf4LOnc60pBA fVRnhT+mFNwmKCeQ10GFeX9+UDjyCBRw69LxOGPmvB5cr19qpMKKrbOpN5n6 o5mjePPlZSY/YY61B6up0GqcIme5RqBRAYEndy5R8Oy7u1z2ZVSos1PzBWcj gYJuDIecPk/Bhy+pPkovoMLdiw+Und0IpJ1RmLFHn4Jd+3pE5n5R4dAddjPt ZTqa5o6oIetRcKq6BXEwgwq9vX/cV9Chowhjp4npkxTcfK2Q8d9XKhR5o5qm ZDmBTqVe5Gk4TsFzp1eP58VToVn17vXkq+NokU1xa5YWBXNzkovYoqiw4+Xt lM3bxlCsIf+REEjBZJ/1/3RDqZB9qln59rFhxFgvcDRRo2CWmbsv23ypcOrT iIjXYDf6obdveGA3k88TL1X4balw9sbm56ZvO9D1KD72UgUKlr5sa331LhWS bZen+3e2IIG5QenE7RRco6zSnGROhWs5m8gfxv4hy7Bww/uyFCyuZ3BB35AK 9TuaftmWJgLJMd6SeWEKlmUp6YzXoMLGX+mzeeYYlB4e7G2mULD37RflpINU OE9S9xRjlAH7t/nrOYIUPBC2eeLKXir0bD1G33i5EfxTdTzoxs285+YjjdTN VOjrnTnzKbYPPHs5EMu1SsZKj7M13nBR4TfkmRnhMQD2teP8kUUy1lY52zVD osJfz2c3FIAh0LE3rOPvHBmfLsDZhssUaO/R0aKvPwpUms6JBBBkrKGqTJab oMCxm6hxf8QYGFDYo2g7TsZbth708xmkQD2JfXY7isbB2yc8ehdGyJjUTtWa 6aLAqZ9pscifDsa2Yk/xPjIOTjQ2KK2lwDKLKxU/FQkQ/N/HyOUuMr5YUJao XEGBi7eN4l1iCaBd6ZDb3k7GnLEU9egiCkw/vp5uPEqAaZlzzXktZJx8TpmV gijQ4NP90RmmXkXY7Z6NbCRj3b+KpKfZFHjh61/dzYME0CvlJj+rI+N2Qd4D 098pMObNR1HBcAIsS/bvtKgmY7ONvyPNkyhwWUTqndxWAsTbIB2dSjLumtfV ao6hwKcbWm8Lu9HB+cJQM/lyMj778YeU3idmXNBuoj9oAmyt7+8sKSbjO/yG Vw4EUWC5U+UuaddxsNC/58qtQjKuwAUc0gEUSOX7tK0tfQSEchbqf84lY+uZ 6dj5pxS4xbHidq5cL+g5Oaa58RsZi7ln8mVZUKDNSQ6FELcUZFOtLk55T8YU lXJrl93MuKrL1y+9+Qj2eL37FkDGWe1Tz523UeBmm/K3mscrEHX6n+CZ12Qc X9Qj6CJNgXaqDL5epWaUQTPnePWcjG/c2GD1lMLk8/dEPRQYQCuXfKfZ/yNj TUwH4XNkGC1/Oy9wYRBVWjbe+2xPxgruRqXxdDLUqLpn1vNzGEU4yowcsSXj 68988n4MkeHHprr95jlj6GhoeteTu2Qcd15n9l8LGW58M5NmOjOOaEnrVzZa MeuUqVXqriVDi/cWP/uWJtDArxONv8zJmKy4tWfqLxm+CzL/sq2CjrIq3hpc uUHGPzzhKnsRGY7TBZd+WhHIu6O9YtGEjCMkt3hJ5JGh6LYLOb5VzH2Nvu1E 0BUyrp/757w3iwxvWCPrCaaP2s14UHjAkIwNaMe6j6eS4fVHPSqvZgjEEPp1 uP48GYvauaeZJpDhm2uHHzukEahahiPHVp95n8W9pv+LJkP7DeXhMmoEilY8 e4CiR8bODIPIwI9kaPlvy4Orr+jo0dGQ1G8nyXiDwtCvtPdkaEb69SrafxyJ me+OHz9KxgdO3tGYek6GPDUy/XLHx9Cw3ePNrwAZf9M0iqK6k6GUZQNDonIE 5Xjlh8trkPFDe0G7A/+R4cp+99GFS4PIJP7i+1sHyLj2a91Nt7tk6PCg6jXH 7Tb0edT1afd2Ml49kW+xRZ8Mzzh6+9v5NiL7lZLVJ1vI+Lfh1CGDk2R4bOMx /sCXNUiHn+q4UZaMixNG/nM7SoZs3cWxptm5aHR33P0rG5g8iylpdyuTYUhK y8byuL9A8WHV1Xp+Ml7aIM/yQ4IM9X+97TpBrwVsHuJNtjxkzHLs49ExKhky 0m8m7hpuAg1vb56jcDJ5Tm2Y2sJPhtzOmZu1k7rBpNXEm7B1IRwUe1xJdU0I 7p2d5uuKGAauhKZ1QJ8QPv9Ea6NaiRC06VR/Ui49CsJvqAzDDiH84uG8T3yO EPzQcFqez3EMoLp95lONQjgxsMle7KsQ1DljFB2ZMAFI2XLG58qF8I8HWwrX 3zNxtPhzIpnvdLPCxmbWP0I4bHvAVoeXQvCzRV6ywXYCHAsTvfDjtxC2FVLg mHQWgs8telvTIwhgLkiuNssSwoo7pm9Y2wjB6672jrRhAni585wW/i6Eux8O q4/dFIKXCl5HM5g6Ez/NWvonUQg7j/O/s74kBI8dV+a8OESAEvNVLfsYIUwK NrWcPCkEub77iql+IsBw4xza+kkIP7LrznbQFIJpb+abNzB1hvckod4YJIQb nvq/YOwTgkL5T/anudCBwq/hrOdvhLA0tq7z2SIEe0ojW9djJ8Dp3b1KKq+E 8OW9jmHi4kJwbcXSTvjRGHhNadgZ/EQIB0RKxKkzBKFs05qs8oZRkPKsKv6E oxD2jf42WD0tCH8nq3p+DxkG/+ZK5JYeCuH/Gh7FWA0KwpDrUy4bdw4AcmuO 5BULIUyreh4UUSkITfanmVwtawGB0ZF8UqeF8A3epqs7wwThj0UBlQeRZShc yXosQkIIG32TMclRFYQSzQnSjSE16HeshaU+TQhvwiEPHu8WhOe4BOxyTjSi LjHTPpKAEK5lOcKiIisINU0fVYupdSGZVYO2GyQhzBDbEPqbWxCy1ChUP748 hGL/qPyVGxLED/3nE4abBGDylbCNDfPDqOSgok59tyD+tL0n7udfAahRJvlK 9/4oGvqiUOjZKoh/TC7JvEYCcC7F2qC2dxwpvN74a6BSECeLZPqqxwvALe9p egrtE0iXIaryoUQQv3x4+YnoRwHYmO9vuPMLHVk/JP84ni+Iz68rTMz4CcD7 C2JfI7QJ9LqPZ+9CjiDmz1VoqfMQgJdGtDWCfxAo5SJbUny6IE5JNDqa6SAA XxtKct2fIlBlyeo2o6+CWL08fcfHOwLQ4NxrhcJ1AhGq89HcXwRx9gbg63FN AJ74Jmz1rI1A5GRi088oQSwXtmBtfU4Aiqvc1e5/QaB9m0ZCb38UxA5nOsuN jgvAvs7jv8zZCaQf0Cu6IVAQZynOxOqoMfu187OrMKAjW9b2t+V+gnhI++D6 oT0CsNPztH692ThKH6zy2ekhiHlYdLbJiQpAaGH35ObOMVRvVMrZ7iyIV+KF 5yV5BaC/5av338pG0Fx5voevvSDudCNria3zQ/vVkh3b3g0ilW/pThNWgti8 4O0FkUF+2DX+hF/hWAfKfRx659tZQezzNv/i3kx+2Pd9plX4bjPabv4wtvkE E6exiVcjgR8qS8+I2t+qQwH6J7pZjgriZx3Hkk+F8cNGl+JbGmv5yFx+/uIF ZUFcpyiX/siDH/JYRql89ikFAm0GR5bEBXHA/GTT4Bl+2Np+MlH9cQ14XLLD ZTNVEAfp/SZ4j/LDS9/Tukg+jaD3ByPzFJ8gXrzVPaN4gB/ajDve3SDWDbJ8 U3Z9WhPAud0K+S8lmfE2//3/HRsG1w/ziGv1CmCjyWqby8N8UP+gXqjk+Ago V+g+Z90mgMWunB9938YHtW8sd3tajIEDYlmvA+sF8L7nuwzqqvhg2J5d/MJf x0Ekm19pXqUAjrQzjhEu4IPCEzGaboUTgHfSnG24WACbb+3rM8rgg9l72Eub PtOBXbv6YQoWwG7BWCjyCx+UuNQW+VqPAF2l1P/UfgrgmcrZ7aMf+eAWHlYF W0QA3YyRH2ZpAhgXue1S8eeD1/z26+UsEiA9CtN9kwRwt9uNjS88+OBs385B BjO+0S9IPjNGABuuhiy32PPB1Lo6x6OYAC+d7pt3hQvgHeryf/be5oPmmsL7 h84QYPaWdgR3kADW1xByemnMB40FbZWyY+nA5LxUq2KAAK5gnJLqP8sHL4ZE KPQVTYASMCN81VsAR3h1JR7V4oNS674qC6njYP+u8rOeHsz8yrKtMQf5YNX5 qPlxYgRwcTgWNdoxz42N7rbZyAenPDObs04MgwdTZ0ik+8w6ld/ItJL5YPfD hPsHHAZBe8dWdXlLZl9ejad12PlguhfrK3/jXpCaWZfqfFkAz9lY3FEY44XQ Usbwz7MacMVqb5jMYeZcrr//SfvJCw8zfh0+GFMK/lzgbDqpwpwjq6pxYDIv lFFQ/DUonwv2HumgPNrHnPst5TGJSF5omhS3/IErBbFvePWiaLMAbrffW7Xz BS/krrzJyWPajFL+Dtre4RLAi6kHv9he5IXPVIuX3x7qQGLZv1PekQRwkMWb FL6TvPDanBSJhehGHjHvh3OX+HFA+9GIeA1euMvOKnTswAAydD16TWicH3tS EnWG5Xhh3ZyL3pPNQwjflgg5NMCP3f6ZrvuK8UKXh56XqweG0a5Lk3U3Ovlx w1nrKGU+XtjJIv/ufv8YIu39dDK9mh+7B3kn+07zQBfXe4VmGybQHUl7z44y ftx0LVRYc5AHpju5Nj2SoqMGrtOIs5AfvxxmuT3ZwgO/H4iLrR2mIzi7eXlv LrNOZZwQV8kD5x6v59OeECixe0n5cgY/Hj/a0GiazwPP31bh3s3UK+HKahuP r/w4gnZkUjKDB6KDexwcGQRy/RmfmBTPzwRhm2/9wgPdzk2ezxgl0FDsk4H6 SH7Muyo1HBbGAx3+2xzPHU6gc28vyqyH8OMi2uviGwE88Jq2/3e6BBNnv9BJ nXfMfiOtgm568kB596jT12/QUWJt6cMAX2a/Qv6qtxx5oKu2XKHyxXFEomkU bnbjx5/e5E7ZX+eBT8Y3vJDiGEO7f8yN3XXkx6KxhVweF3jgu2fGke+ejyCj 89+EMx7y4y2hIkTACR74ZypWJp97EKW+23xLx5wfC8qHKmbt44H92n5Fj4X6 UYdSu1+ACZOHggrfqi08kDa0cezHTA/irg/MarnEj00P6/4cFueBuuxH9/cU t6Lrwjw81if5sUjr1udbWXhgWMvmc2ovcxA5kEgK2MOPv8eYEriGG1rMtnyo MfuANA8k1Lds58dGp0bq6UXckGG7VNqNvgKrhptrm2X5cVDd71fSOdzQ+93u j7o2FQCLNJ7JoPHjnpc697yjuSHfTGFtbXE3sPmQO9WyyIfjn3cwnjzihm26 HmaeM70g9KDDBrlpPiyqlmdTaMkNN1YvuX5m9IOSxr1a1mN8WPbfSCqvMTd0 LjzNd/HLMNgo9vn9egcfZoTLxkcd44brt8XfhB8eBbpZxr91mvhwU9Nu46lD 3FBB7HlgefwYsDcUHQyo5sPaM569Wru5oVSZ9O8HIxOgMshbRa6QD09V0cym RLjh2hwQ4Mmjg2UVrevWuXx4j/8pk9O83NCvVb+73IQAW5tXX2Zk8GE2xaod ietcsH6hN+pzCQH0HTO/r3/lww/SPxbxznBB3xvdFh3LBHAVf9Cq84UPO0qk K90f4oKHs1VlZRYIkJgtz/Ymig9LXhd7VN/GBblLDx2xzSVAg1HfztZQPnzx ZdEzzWou6PzTLvLQKQKQlsIuyL3nw9vf5lkk/OGCLP+cWg7E0MHukEuu1q/5 cKArq4T4Ty4oGXZx8WXpBLiiSo7LeM6HP+m+CfdO4YJXAhVfJ/0cB14tZVXr bnxYfenOzFoUF3zB5yK7zDMKOiQ0Zd7Y8uETK+tUwocLbus7vjU5oRf4hsoV ZhjyYd+3CbIzxlxQoJDIb3Bk/k+pdYyt6/NhY2v/fc4GXDDt47VnpobtoL/1 g/AJXT5cuh2TOY9zwcm/97R6g2uBmiTvrVYNPmypxaq9ZS8XtIl7Xpk1EIlG P05yM2T5cKsAj6sHCxeciaBdPnqpH+mG/z5zYpwXuxEyO4vjOGE+1WGHrMIg mn3dvso+yIvlyaEemmGcMHWM0tnSPoTCn6wk5nfxYkZzkl7WG05YA69lD9SP oklTVS71Ol682yzkcJoLJ1xJKNxeKjKOQvWNMhYqeLHnFntzJVtOePhSQ2bC rgl07Mhjs/RiXsztN7KWackJfbhkJLc30lHQ5gy0O4cXv7kc9qroHCfssVoO PH6LQJBWf2/0By/+8KvVTf8EJ+zvdlJ6UEKgUbYZyfgUXlxS9H2oQ5MTZtQd +ExdItD7WUq5WTwvlnOULbynxAk5Dmck9C0TSHNgn6NMFC9OrJWnkuQ5IW+b q393BVOXGs5u6wjlxdcayuvfb+KE6rrSW8/YECig+H59yHterOHOzrdLmBP6 yZw0zu6lI7Ws1x6X/HixTl1jehEPJ3xY/cRhajsd9cYn76O95MWOVUdqbzA4 oO2Dz+VkOIF8gv92/nvKi5seapuR5jigXpyS3MNd40jZe9TX15kXm/3usYwa 5YBBB4oKY16OoBd3doxw2PDi9dP9f0cbOOAtYcXccp9etHt3TNTiRV6sdobC CE3mgAnt5FTHc07IKe0jtVOOid/MS314hQOu8XElPB75DrZ8zsGhG3kxfT24 /aA+B/TTcXeM+1oAKt+13DcU48WKlWgDQ5sDXgZrIXLdtUDGXuxvNS8vVrnZ NPVBkQPKJV/hD1LuBSUq754VTvFgvft7+Pq5OeCJzR/ueMv3gwc70hTdx3gw c4Gx/b3ODr/MnDtzgTQINkjUdGkM8GDjgXt6IbPsUKdU1ibmxAi4tyyokdnM gzesCV0z6maHs4nXxmDGKBAb2z1qW8uD1TiK36k3ssNtVI7CsaUxgNtOB++t 4MGeGcKashXssN1UvUGYnQ6ov31mvyAeHCroMjqTxQ6Lai7LPi+mg9yUhGiL nzzYKus9vTuFHWpZTjpPXiGAxadS/c0/ePB17uO3qj+zwzavJxP2TP8j5D+0 3pnMxGcJMCgIYYfVRWWRT+YJkO3GmfIxjgfXRdumZvoz++qfKvq5SoCbD7Ze NYrkwWfGJzxSvNjhPTE9vk11BOC/cYxHJJQHz3WwlMU5s0P3VcOkkf8IkGFg llXzjgcXP/7qEf2QHTpfiBGKnqKDa0c9LPxe8+D8nzPfIi3ZoVWaAQ9NnQ64 lKJop17w4OHPNfpRJuxwxFctUs9wAqTK4XyupzxY4+AJi5jz7JAxF9v1Q2AM sHOsb3xqx4NvnWcMfwfs0Hrl66lN8f0gseS/xkdXmfg2gVdHxdhhk2p+e6Vf Lwjf76CVcIEH5+3ysd8hwA6PvroQ1naxGwSE26Z26vHgsqmHD2+zssMA9y9V f+WagP2juz4nIQ8Web9BaHacDWYpJ0ppRHwGUNrksPRWHuykWt2zs4ANqv06 kp76Lw4p+1xOurCJBzMOmvA9zWKDlAA1GKmN0ba5i+I+Yjz4nUaHaEsyG8x5 4Khp6V6L+P+emZ7l4cGTppl1b4LY4IH/JJ4bZPeiZgcYV07nxo5clf1b77HB bcLVTZxV/ai8R4NGGubGntrTG9/eZINViYe6tqFB9Pu0qvuBHm4c/YpXlcWI DR6+dvffsW2jKGbz/iuRddyYsk9YZPgoG/TcbTJ9/MMYCnq9p6Shghub+XE0 mh5ig1rdpX+KG8aR96KCMl8xNy6cHXFs3c0GBT0ELWpy6MimSk7QIZsb57S8 Mm8WZ4NWTxX0uEwIdFNVxjnpOzc+a3Qy5aogG2xuIM2JlhLoQozUcHciN57r XGrqYWODTotjG46tEEhHSOKiaAw3TroX3n9niRXeKW/JV54nkJqTSMGpcG5s x65cN09nhSurL/5NZRNo9wBl79MP3PjM59+fvfpZYWdv5+qgFoFk9AXDMv25 sYqu2iWxVlZ4cM9z8d4gOqL+4uUZf8mNFZcSRpP+scLJZFI4JXMCcWzjcpD1 4MaHU/lvaBUx49f+hrFGjqPFALa+S87c2Njm5s+OHFYovG079yfDMTS2wjjr a8eNfQ4mzTilssITB3Ts96gOo+qaRfmFW9x4Q4eIYN5HVmgcZ+rzSbwbhbmO dlSc4sbcr8623rJlhfkNcWWnTfOBckOltqMINxa5c6H6qAwr7HLsK7xQ/Rds h+VpKYLcWCuxVYdPlBUe9jixS427DkgkFUv3cXFjj+nzUY18rHBHf4PzzrZ2 wHBHS3rLXFj5o/Sy/QILXFeGBwcmB0H5ru8pcl1c2EJPUqupigUWZQmJx2cM g99BKRsuN3NhqSrV8sw/zPxPp6fmzoyCVNbEF341XLjv0imlkBwWqOtwZen0 7DgIbI6+sVTIhePcdZJuxbHAzR+3S39dmQAvtSKq9vzmwlGy+3MMwljgclWS 0aUqOnD5+lHdPJMLfy0XSgJvWSB3kINa3R0C2EgEfwn5xoUrnLtd971kgWuv H4RQqglww/O9yL8vXHhJOWb/licsMC39u7AkU09qwTyXYzQXzq33tC6yY4E8 vGcdpZm+5eiK4bJMGBc2POstf/suC3w8ccJyWz4BfmT+HC8L5MLlMd9vC91k gQNqCSEeTH3bYivZZevPhUUb1nZlGzHx+3JNagrp4P1u1xpJby58qPveI7Oz LPBr4lrc0toEYB/pLPzjwYUPFLNoUo6zQNhvINo6MgYGTKO/iDpw4fTNgZft lFjg6J/4P/mfRsFFSfaPyIaJE/I+WV6BBQaKV27rUBgBxY0Wr61uc+HA0SyP Hhlmft719ZqaARCvJ2+bY8yFGzbeyTYSZIHz1PbbDnptwEo9Vf2aFhf+r9jl pMUICf46pdDenNcImucpe7g0uXAe7WPGnm4SFBcsOmAqUAtOpj2SST3IhdvV O2KWG0lQ2X+nuP9vDBTkVThYFbhwhFQlf+gfEmzRCOg6nFWMxkXzqmLJXFhX 5irrQgQJ7qEQwpGDg+jB9N8bEx2ceNu+fZ7yhiSYVuQbYe8/jLpTdl/40MSJ 6Qq+myXPkKBiVD0pnjqKDG77Hwc1nNifxH9MSJsEX3nbdQlHjKP93ed2vvnD iY00HpMZ+0mw5IXAo9sxE+jzx/SNanmc2CP65q9leRIcl9Dl1HehI2FDUXJf Fid+1vdwZFGGBLUbHDNctxLIk+rI6vudExszYkKXxEjwa87OQ8QnAs1Wtswq J3FiwfmVqlVBEizKC74/OkQgC2/1oY4YThxc4vCclZMETf+2PmEw96yGY+Et zz9x4pkhBQ+RZQZYFLrmzsPMP05i/N0bzImt5r+tKQwzwPDAg/Q9zD0r69f1 vOY3nPh1joubdiMD6AZFn+reTKDtjwtSn77ixNeV33BZ/GEArv6T2S2OdBS8 f8tnBS9OPGQ2EeidxgAXdOwW10LGkWPC0AsXR07M0u9S1OPHAIFdi985rcbQ sPlJp622nPiDcuotEVcG4FXb90WQfxRdlkmyrrrLiTvVdgqeucsABVy3Er52 DiK1oPsGMqac2Nlq0aZKhwFa0bOhpxMdaNVzbsMfbU68qkM84WNhgKJea56I UQzcr7N95aMx+RE/W+5gtw7sYshe0i7lIO2fjl89PyeGcZtrzpmtg8U0mH5m pgb0H/a9H87JiSOiZZOVzq0DfsGyjDSuNnBio8jevcscuGkgqpNt3zrwNTgT Uhvw/++f21LP9XBg+CHpQOfYGtik05n47dQQOHryboBkGwf+E9ja0d26Bvq/ +6Vq9A8Du+xvD/rrObAt24Erw2VrQDe4y+dA7Bho/nBI0aGUA+vJW//j+LIG 6EOsLO/KxgEvpysFFHDgxz0nSiWD1kCtcm68d+EE0LDPn+LK5cBVXAaBB5+v gV+s7uYF+wkQeV43LeQbB17+1JfkZL4GrhQtfRiKZepGgd/bmwkcuFLo/tzn 82vAiBF01maUAOz762x3fmbG6XK02qNrgGOqOnyWQQCVKLHzs2EceEGdg4Nj /xoQ2NNRZThIACuysdLvDxz45ALlr4bsGqgSsArLCydAqFsk7XkAs18ZXYv/ yGvgZPL67LttBKig98+c8eHA97JT6nIYq4D1gv+1F0/pgGEiXy/myYFBnoYo C7EKFPV6Zl59mwD7Ku+ld7tyYLX9C7tOd64C2e6n643fx8FNjbT3CY858DXh DrGwylUgPXtgb6f3GHifNG9n+5ADfzWnN07mrgI+tuoXuwqGwaK32wF2Cw5c cfZdzZePq+AOfJru8aYH5B9/k7n9NAdm0R/MPnd5FTwOEDiyc6UTzGY0fJjU 5sBOn7drl51YBcWehzZ8i20FW7duePwTcGBxi/exxw6tgo1qCibvXtUAH7bP KqeUOHDr/snek2KrICnp1rF9t0LROZyefX8DBzZYTD3r17ACyJ8i7rxY/ok8 9y4FqwhzYLHfeq47i1bAV8/e5xGhxSjzk+Z/JEEOzDMp4laZvgIMQ/29877X ow2uxapvWTjwncgdDOn3K6A93TD60Xgv6lVtzskYZsdbdxpOrZ9bAa0xJU2a df1IOEHq45Nedqx+4ywuOLoCnEl8vlc/DqLj4jecddrZsRvHI7NX+1fAsVBn Ra2iEZQ4P6Le8o8dPw3W2LaTugLEF40PmG8eQ+0We6Siy9gxfNGrzcq6AnrT A3JeG44jwQbb1TuF7HhX/w/VzqllsMVB4OQGLTqy/bGSu5rJxB9uDo+pWQbL 2zrPJMzTmT4KhhelsuMh/12C/vnLQG7VaSnMhUCNbzxd/RLZsXNs0rkn35eB qgJ9ZW89gbhZykwMY9jxIflLd22jlsGKQoFRzyrT5zwQOCzziR1LS+4yuvtm GdwrZUjbM/2PdZfBppEgdrzPebfE7afLYPq9Q8ksJtCnMx/Wv79hx9Ynr3y9 +3AZJJRUSn0zJlD179ZOp1fsuNYrTezRjWWwn822RqWcjlh3SyMtL3Z8fd/B i24GywDCHR94FieQq+iRa15P2LH76PP+A5CJnzZycWCK6X8YN9eKH7NjHxtJ uek9y0DlhE/dTgPmPlsbp657hx1btgp9deZfBoMji2Mq7H2ow3FPtv5Zdqyg tG2ltmQJAKv88C+/P4DsP5rfTSTY8cQkt+1bsASyXAvfMTJygPJXU/0IKjsu u/xh7vOeJcCqc/Dl5pIS8C3oKdHNx47fvrbc8WvjEhBo0A5d4G4EcXeKdpuv s+HRiw0fl1cWwS8ZWfKKXD94T9ZLvNPHhmNvd/78nb0I0vLT/RY3DgKh5fsn k9vZcI+8T9Zq/CKYX5HdFj41BHz6AoYnGtgwb8Z/5keCFoHiZKKRo8QYeJpZ v+1hKRuW3rWlos1+ERglch07aDUO1iLmi9Ly2bCAeNdzRYtFsK9Hz+KH1wRw 9Ba3mM1hw/1VHZO+FxbBaQt54ZdbmT7H2Pjz4xQ2bBgeV3tBaRH0/P0dJ8jU pVHtJ0d/xrHh6fQHuvmbF8Foz4mrWRPM/WtvZM9yBBt2DHryUIm6CEjUMyrs TF3qFi9w1whhw+PHqnWSWBaBq8SwelMzAYxZ+6WfvGXDer8tKndMLQDnqfIQ W2cCNI9xIPSKDQeTAGty9wL44Ot+2HGIDi40bL/G4sWG/wkaDypXL4B28/hf wxvp4F/eybWjT5j1DOX+V4gWwLkoCR9ZmQmg++VumOdjNkzyvZFr+G0BfN5I Sm4lxkDRm9fqxQ/Y8PLyya9TnxbAhqGx73L+owA6f2vlusOGu5Udzr7xWwCe tVq2WseHwKEzM+KvjNnwQ57QiJ57C+DLDp1Gk+YOsHXWKfDNETYceUDocfGu BVBVYJSeK9oCIjvClOvUmPgrIn2vpRbAth9TkR/l64FUSV6dsDIbPvz6+voV /gUg2ftD6WlnIaCFslKDt7Hh1+T8o5zj86C+00XhmGgxIkEfv098bPhQ6DfW qKR50JJAy/PfV42c5ZN3d7Oz4ams+uHAj/OgaNeN+2OqDWiBWlUhu86KAyM1 nwS8mgcaTuc/5DV0IvoAhS92khVH1bZmfrg7D8QPxYeJfhlCba9CXiQ1sOLS n0dNh3bOA0p3r+trzRFUXySTfP0fK+6JXbgisXEeLE26fhhJHkWVjPhqkTJm XC3tpL7gPLikt9beR55A6FGmhHsuK44wPUSqnJwDd5P2yw+y0FF2iubhA5ms 2IhgK6X2zoH7OxSMPxbRUdrQn5uj31jx+vYGD5O6ORDl3sDSfoVASbKnX0Qk sOKXPMn7Uv7MAcNdEyXFTH34fLUu6cJnVrzy7mUNS+Yc0L4gUZvP1JOwwCvV POGs+FLJHYur8XNgjVc12pmpP4H/embzPrDi0M/nxn8GzwFrudvvxmoI5M9z W8IugNnvDnhro88cEB0hDxk8JtALrUlNeR9W3H5Jqc7LeQ6wcvWYqUzQkbvr 45udz1hx8+5dSjPWc6BR0PCFtTIdOWWtP3/nyopxisJzi2tzQPreUbdb6uPo 7k6B6rUHrFjryyGOy0fmQG2mWd7W9VFkbvF+Nu0Ok7fNJxRb98+BK6c8l7cE jyCTCEkJK3NWbHXcRP/6ljng8jE61P/KIDpLU7hZa8iK974MtnTmmgPzzi3+ roXtSGnl+GzcYVYcOX9uebxyFmwyfRdbMlYAVsvdxfX5WbGIW1Pq76uzwL9l HZq8rwBz7NyaHJys+NDLIwJ+erPAdOfTikHm/kUc9r+Rw2DBx9W+G5sBZv6M 1WU5+XbQnRaeuGWGBYuFRNVLyc2CPYy4qA9Sg6AoNEdjqYUFRxwp3vF3dAbE 3W3zOlM7BPLqj9z4WseCOd6abCxsnwFGAj9YyeYjIEuwzMuskgWff7XMjqtm gPwupXc21HGQ4NFUVYlZcJKjdkpp2gxI1N1hz7JzAkTnXpvxyGHBP6xn7tXH zAD+61+++IjRwcf5AbFD6Sw4hideduDDDDjB/0k0rpG57+y7pzGRwoJdzl4v XX45A0yq2TWVLAnw+s7s9eh4FqxxWPqmiPMMWJ237zUsJcDzGGcvwygWPNDQ R1e+NwMU4kNNny4RwK2TNZH/Iwt+LPr1/mXTGXCx5I2LxTIBHMV9qvLfs+Ap hmuPh8EMYLVb6Wb9S4CH5ygzDn7Mvt6e1/muNQNa+0iiUXcJcMc3WGzXSxb8 qXJPZP+BGTAZf3FDdTsdmBVLa/Q8ZcE134XGpXbMgACDhpeW0nRgTIq//sGZ BY8fnle4smEGfEniOO+lPAEuqu3xOmXPggm7XuMw/hlweMSK4rtxHJyxy0gg 2bDgtvP1T/vWp4HRfzvHZdpHgc5XjaoMKxb8re1vyN6paWA8BTeV9AwB1c2n xGSMWTBl8G90Y8M0SBznKbpzrhts5LVKmD3KgrMHhCSuR0yDgOl/xT0zbcA0 r8J3swYLNv4Wfj8pYBrIngysu0xpAtG2ig/0D7Dgfbj//erTaRBkqim9ml4G trctH0zezoKtsz6dTzWfBvk3l1npaRjtS379x4yfmb+aH2KiMA1WjE+4LCv+ RY+uT8e/4WDiMyTsmySnQXJZtpEFrkUZwoav0DoJZ5/cKWsoMA1mN6+beEW3 IzVXmXOSUyTMlv7fmOXkFPjzikhZ7R1EWmd+dNU2kPBAZ9GJf5lTYNaGy6Ul cRg9ZxUvJP0j4SDJ4YTHX6YALLlcM3d8FJVmusTtKSVh54jCtq2hU+DrbfnJ uslxpCd9/J5PDgk3uMR9f+c6BfpsK/XblyaQf12ifvYPEj7dmHLxvM0UqJqj lP6spKPaF0LKg8kkPONwv1z8xhRwD3L1m71DIGENOzHhOBKuuDYs1H9uCpxQ M/9jX00gw8nm5SMRTPzXktsyjjHxb7287r1GoJAYzU6bYBIWYucW8D04BQjX +zZdUwRqM4rOD39Dwk75KX+sdkyBEYOdUb4pBNokwBX714eExYr59U5tmAKn Y9K28CoS6Hr+3ZdLz0i4n7I1Tol/CjBCB6uVXenos3313e2uJNwTM/9Pdn0S vLg9EHbq3QQakD9w9qIDCVPcnpaLTE6CpiijraJbxtCdt+si361ImIWnUFGo fhK4a3BDyc8jKPm42VLnDRIuzP7vk3DxJAgPvu0XPzuEiOWSdv6rJJz5baRN OnsS5IRLCflL9qNHZm8+W+mR8J5Hc6U6YZNg+vn2yC85DchVeYuizH4SvqOf e7fDfBI0Oozfx7HVCA2/FD6zk4R/qGpeoxhOAqixLzB6sBixhk8sOG8h4d13 HsueOjkJVnKLtbcZv0IvOLLymkRJOD1SbEP17kmgmB+waVaqHsikvAvetMBA kqWCXwCdANo4pjhevAXEipiYOo0wUK5AbDB7HQFU7z9Tah7qAApPtm1rbGMg 3JOi0JDFjFv7Hnts0weUz/788Roz0LiymFLIUwLwkVTaHJwHQHaWh9NIGgOJ pD9O8L1FAHLywn7jG0NAU+b0Ee1YBorM181/dYoArbXv7iamMN/jVGfVqjcD tb040ZAsQgAqJ3eJquA4qLj8JdDIhYF84aOaqmU62KbZfYhTcwLoFzw0Tr/P QJ9ekG1Wu+gg64xJ6rwKHTQoqMuRbzAQ1UTm64EiOjjCuiJ2Zo0OrrxjH717 noGGcbSfUyIdsEx23vn6igBdK5WpJdoMJPMjiPzXnw70pBNlJXsJYG4e9Fju EAPlKDGUttvTQcmR69PLTD82VHH9sJsCA6UdbVn0u0IHllK63eIDBLA+oMDR JsVA5O6tpqyQDrannX6R/I4Adhw/4x2EGMgqdcxkbSvz3P7AJG1+Ajg16OhS WRmobvTwWzZ+Olid4Cr8e5YOPGIbx1Nm15GRv/Sq8PQEGJxOXXM3nQA+9hb+ J4fW0Vz464+KzROgPZdbmqQ5Dt5qzyoOtKyjeFHvB5fzJkC/8R+kOjoKQkWe 1btXrKMHSxRn35gJ8Gl6KUTl9xBIzIiUyP6+jo6t/d0n/HACVAefCrs9PADS vPbmno9ZRwab1tqsDCeAd/CU5Q56H8i5mHeN+LCOHiX8yi1l8r4SqPVYfE8X KJ9r+7zNZR2trnVvSuSdALKmNLsNO0rA6AGxPYHH15FUZIXFTMw4wOFnAwRD f4JpjrjqfarrqJ1y+3fUq3HmHlQ896b7LVhuUH5UsXMd/Zh4q3vVdhw8a3nt S3EvQLwO57LZKOsots+PYxKMg/ZTGTOqEh1oR+bro7Zta+ht6fb1iLYxUF62 cG2orhvtey41IFC1hrhe7WX9UjAG9mjXf7u33otULiW9SMBryC/rj/qvhDHw /FpPXyB9EOnMl1Z0x66h4TNBZ9kcx8Awy/LlN73jyPIgu+HZB2voi0PHkoTI GHiYff5dzsgEsuF8tzR6cw3VeOsnOq+OgkPzHHfyf9PR40bZsOcX1xCZyyBg uG8UsK9M31U3IZBbXOrhzSfWkAW9M+n631FAi8leESth+iUH0PNbjYkDllf7 0kZB59/0zdHLTH91vOrZ5d1r6PxK9DPb0FEgGW1S/HSBQEGiJtvmpNfQuEwL 4PcYBbm7Og7n/iZQ+OBYaQB1DQWnhil+vz0Kip7Q9dL1CBSb6XR3F8caMk2c MLphMApKj/A7yH+ho5TnPIKlC6tIXbAiQ0p1FLTtoPw4WDWB0i8Fp5qNriKF dpUTfTKjoDnzWfnRZ2Poz3zGXOi/VXQxM0vg7eQISCyyJO0WHUUVxceCDxas Ip+Cv9CpeQRUXJs54+YyjOo/1KnVpq+ipkP3Eu7hETAuWcATWNWP+g9OufGE rqIMMyNJh4ARsKHYKjQa96JxTvfNsb6rSFs8essrxxFw7bxQRdTbbjTbKFgE 3VbRxMH/zJKuj4Cz83fnJP42IfbHu3gdzVeRW9q/pwKKI0DT+ZqKU3gS2pJl +X5wzypKjd54xKh2GJTba7fvo/SCmyqdXwoLV9AJS81yLrFh4HQm6MVXzn5g /kXl0vGsFdQa/fbadRZm/klFA4vOAWAp8YatLHEFXbH/mVYwNgSyiVGOn/Ij 4N6K1rWqNytIuss5NAYPgZKLPes2waPggXU4n4HXCjJ3ENuzJWkITD497fSx awzYdcxn1zmuoMAYz6cpgUPAimVX1gwxAZxQAq3FdAVlF9VZdtwZAqcSorsE M+nAdR9b/tXzKyglO2P52cUhIGv2ddjtDAHco4zvdx5fQa+P3tZThkNgPaNp u3k2ATypmZI31FaQkRndlK4wBAZG/8hvmiHAi2dCZX27VxBFUnt/msgQENlv GHZpnQA+s1YOt2RX0I/b9/64kYaAuNDT6tUWpt+zKJAbEV5Bx85aihqODYK4 NeG6488JENAoWXOXewWhv/t3HGocBKetLaW+sxHgvY79E/rKMtre9W9pc/4g UPVVb1o7RwdB2VU7HxLLyMn78Cux5EHQsU0QK9lPgFD5HS0zvcsou/xJu0jQ IHgx8eFKocoYiORrU1oqW0YrFLu8vfcGgQFllps00g9S/sERtuBl5PdD0b1Z YhAEdHoNO8vlgCJD/gsSysto4ujS8prdABDh3nM4IjkUlJRasIRtX0arV596 +10fAO4/Nc7v/pqAylXR102Sy2iZr61px+kBcMs1MuZHQRmqlrTl2cK6jHL2 saU7yQ2AVH9/IxPJLtTR1ZS3p3oJ6bzeduddbT9Qk04ON/zcg7r1Fa2/Fy6h LBP1hYd5/YAnR/xr8ac+1J/vI6GctYREimSPXUnsB5ce2b8wUh9Co5817VQ/ LaG3RmYbT3j0A4EcYpfBn3G0YPlZ/pj1Egp7+7MyeH8/mDQq3amEJ9By82pj sekSst5w9XLRpn6Qn+kc1uxPR2snL3mePL+EdqhWxazw9oNbu/gR/34CkX59 U6w4voSq6dRU9YU+cD9a1KIzlkDsu3i6zqgtIXN1eWevvj7A5mtjFDVKIK7w m741u5dQ/yYKZ8u/PtBWtv8qwSAQr2Cu6gXZJXQ2pFz/YG4fKMsqQ18GCCTg JjLUKLyE4hMvXg3/0gcYlzmCZz8SiDx5//1l7iU0di5tq2Ag89xITmcox/Rv N0qPtK8sog1vu7+9fNoH/sqc6gUudCRWK0tcIxbRQavuJf77fUCrqW3INX4c bUyvP2neuIj2tVyo3K/TB+68e+ll7zKGZLbuWRgsW0RCdmWX6pX6gPi5thC/ HaNoy4cXMbd/L6LWWKFIN5k+YKQ4++GY4BCSd1Rj3I9ZREpVZNuZpV4wqCl6 bGbLAEIdZxT6PiyiRwE2KlIDvWDqH2tWnGgfuqhldtHQexFJX6+y069mllh9 MPSBUgdyF/RNAvcX0Y/tvoZtcb0AjMI+XViAmmM6DMmHFlG9Ifdvpwu9oCux N/b00Fd0n3faw1NhEVl4WR5lgF7wM19z5+GaD4D9AefXRalFZIqLgf/OXvDg PAvpW3cJ2Ke+l72HZRG9u+YVXcPaC56onb/1PqMLvKhxT/3+dwFNq7Nxd3/v AYYszHVbvBdsVAls25q3gOrrb+rh8B7w71bjSO7BfvAjLIEzNHUBbXIu4E32 7gERAnHCzziGQZdlrbFHIBOHeDoRe6MHDCtcU3b6NgLsKgdfzL9YQE55PdR0 vR5gJv6h2XPXGOBVWkm747SArEOPpFaq9oDdkXl8eYET4OC6HM950wUU4MRy Xo7aA5Ylj4hkuNJBhdkh5RKDhf9RdN7hVL9vHKcyKiG0lBGJZJSskJsUERWJ EsmsFPoqI1KJ7JFNyCorIlvGY++9t2Nz1scm83d+/97X53qec87nvl/P+3Wu 63MOKv9g9NBwFwcuAk4bupcwMG5QN5S9sY4ef63oScLjYEXgtrJVOgYbIkbe mZLryDDzbNO/Xhw8YQ9Y51ykcCbENo/3wjpqHXKRfliFg683iuYWdzA4t+mF Cz+9jpKOTXBUZuKgNQD71d6JQZHh98MMjOtoTv+6k1Q0Dl7v3syifY3B3Zps yU9U6yj0T8K9Qk8cSP1uK1Wg+Oy0YJ3RytIaSmfd//2GLQ60z1rW+dCSwenr kO/z6TUk5GpiMmyEA3j0nO3+PhIwr2EFw31r6BhVddzHOzjYFW3LbzLBg1zF ScaakjUkwPPFdY4fBxIipsy8xyYhRNfib6j7GvJkZO70yB8DRlaLkogj4UjJ 7QirFPsaKkzjfn7dcxRuMKbEa4z/Rf3zZ+V/MayhdcnJJZzxKHy5njZ4cq4O Wd+VfMG1t4oYRn9ahl0bhWB0tquKtxd9YzdEdFOr6Pf7i1eUl0cgdshX+Yr0 FFrKynrZn7GKprakdgsNR+BiKr3hlNgM8jxeE6Yet4qqnmzRM8mOQPqv6jOV tHOI4/1ARXnQKrIdLtv//vgIfKba7nMVJiBVlX0nU+1Xka6AcsO3lmHIv9nd MeVIRGPpx5U4LFaRx9rBEPXUYbBR+XzELoyEbFkuWgXqryLvsZY7x74MA+/t T+tVlzAUN3K/+p3iKjq0TyeEIDcMfkVudwWSMCQ2JbbZLb6KHveJuRmcHoa0 gHRLLQKGqvBHL10SWEUdn7OsJ/8NwU+WQ6R+Cn+0FxfMfE6vIssDbTrO/UOg pp7nHj2Joen1tqgZxlV0Rd//6sWCIbDislWsD8OQ3e7vDsV9q4jLm3yCFDoE aUjkUscpCt9o/OliVlfQZX9ssfLtEIy//YhsLcko4rDltY25FWT5PLAu/T7F z12/BpcEkdAFFvU394dXUOvJ7og0sSG4bDa2vuRNRH9PXkz93baCdGILzEqO DkG4qP5kmi4BqXMdGjtYtYLot2VFJhYG4d310mpRuzlkKVSvVp66goal+LNf ZA7C29CDl1MPjqNs5Rs8wvYryKjI48tz4UF4gn2cutA8gm5o8D70tFhBfIv/ ibIfGYSX2vttI3UHUPf9ff6TBiuIeW+7e4w4ALh7jMmJ1O1o/Wn5v8gbK0gv ZpUlOX0AtoeKjohHpYOsk1wHLcsKqpl8rccnPAAfCrnOHVuZhOpM8U+49GW0 GR5wYvxyP+BRR2ls5zQ8yGfNl41bRmJiHk6dLP0w2Vn2YD5gFmZKlghhwcvo awLXUN9yH9Aw45h0ovFA35ilq+G4jKporvhx5veBweDpja4ZAkS2B/ilWC6j sI2MMcPwPpgObP7QQksCwT6rqv1GyyiwokE4z6EPbGwG3aLKyaA+JST6V2UZ 7fZMlkTJ9sGti+caWnUxGMEfNjsmu4yszk7sCHH0wemGGClAGFgv4r+9FllG 9EouMp27vSC1f/zS3TUM9tYb2pvOLqM6mQobH1wvmL2SaEnbpuST3RRa/mPL KIM+IelhZS+0pr3Uv0XhBg+Np9xn+mVUks7be/VHL2R2xr19bo9BzuFnNiNb S2jxvDK1qHsvjJl2BYQSyaDEopwijS0hDfuDAtLPe4EwPyadKEbxx5N8o8ET S6gzxlLtgVov3Mg735CuRoJnXAfYsJ4l9PGbzXN3oV5IoaktZJUkwjrfpKpa wxLStDz5uYmxF5DjoECHHyXnXonPo8paQq9ClVMCu3rgxqMS2bAPE/BEg8PP 0nkJ2WNC5Uee9MC3EsZPMsNaaNblmJzKySVEajzLWWPXDcnmne8X0/PQYedM LPjQElpW9h/o0u0GGoGOdz1vapCog2oibnsRSfuaHd6U7gaNPxbZj9h6kJ2V 8yHH8UX03ka703erC5JFA58NjU0imsfT/elpi2gj4wqpyaULHrU/fKMzM40u 6Hz0/Re9iFberD0OM+kCIRvlvMSaWaSheUpBOWARie4/p+hwswsshIwPRVET UKiKRvLYm0Vk5IysPh/sglIOC5zTQyIquj6rJ2S+iB4+Fy5II3TC2rB8c9J7 Ehq55sL47uEi8j9Da4dv6QT5D7SfGfkwdE48z5bl2iLKxa3rZAV1QnyNPL02 hSe3RO9eMBRdREkLzO8kbTvhlgXvy00yhl4Kzg//OruIehpCjnbrdsJrTdrs j7sUb+Jz/brBuohuvnLl9pLphC+nMk7Wd2Moh5vjxk3aRbTcN/zzAUcnXGrY UeC0wVDf6YL1wI0FNMYQH3+VqpMy744ZYn1ktHVc89cofgEdPtzOKjHZATe7 HL6w05ARFwvhycWRBWTX+WJbpbYDdAzu/dTYISKlI19YHNoWEJeJ1WOb1A7Y 9iXuJFYQ0DN6rtrqigVEVzpyKde3Aw6kfrylpY1HPvuL3h3NXUAiuIL3R153 wHkFaglFbAZ1/SPi0iIWkMTndHtaqQ6Q9C24PJE+jIxntDNHjBaQlET45tHa dhAf8cL3UDzIfZxsLKi9gI4N6LsypbVDZi+HmlR5J0ob9jxur7yALiv7fT7n 3w6FyKfySlQ5WuwscWa+uID43otMhei0gwMVMy5gswGoPqpGuM9haDdj6jln Rxv8yjP2jRWmfN62zntcLRSP9Doz/vVbGwiuMjb8d60Pvr78Y170B0ON6xeU xUzboGA0q6HpJQ64H56SIDpiyNenppd6oxXEXF6UUnvMAVye79A8giHy172j 3WdbQY3tl+AXATx48HNcJSySkQvV1EIpsQXw7la2clEEaOHQjHPrJaOv+76X 9Ba0wIzxsPnXYSIcY/tCx1lMRpzhwracri3g3SjMex1PAoNDRVYFsWR0oSyI PfROC5Q3nBKxriTDTypSzz03Msq2b0mXYW8BOzbqxhATDEhr3Nfwz8mosGrk ItNMM0xstP0KasZAgqT9w1WDjOQSqsJZspshp7R8N53CGedJz8McYmQkz/px 4caHZtgoNMn1o3hWzUCJTf5xMio5ziyZpNYM+9eCOW/+weBI+8LA3S0SKky3 ey55ohmqtm90qkpioF17TnF+jIQu9WR7rE42AceaQZe9KxmiSx6mfK4mIf6v 1cGTWU3wL4fjMNM3Ekxl+zKdSSWhqJFfvlQfmqC8vu7wHyciCKaW2+X5kZB3 6XMb9dtNcCBfufO/lHn4Gypwc06HhObETQ78N9MIbZdi+seo5oDu8awJtRwJ 0dOrHbqS1wiMbeLH5kVn4AF30mf2syQU5/H1No9bI1ATth3DOCdgIY23XJ1A RCK+cp88eRrhk8lp8VXVDhAo55T985GIWtKYs98YNcBbW/z+Pr16sP8y8qjR lIiixleCYi83wJXiSCMPrBiq1aIdJlWJaKhaOnODugHmQoZ2b7Oko6c9p/KP sRFRxdexSLHEehizrsG7k/tQOJ7tsmMKAdHLp0rVzNbBjbOk19SFw2g6s+tu sB8Bfer3XtYrqgN+fr+yzWQcErcNskq3ISArrmY8h08dzHcwVe9OT6G2Pab0 UTkCSs629LkoWgcCm5wLBe0ziKOmtXH9LAGt7raI21HXga0Rb+/JkDlk4e03 z0xHQHnrfqfIXbVg5Zt0dzGCgOiOHeZX6sCjKLJQqNm7WuCo2eEU7yEi7cGG m/r5eFRMPCxkpl4L9+3vs5dR7mtCrKepbRQePQhX2w3kqoUl8czoqnwyWjBV cfX/hEdG5LnDxKUaYPjh2t/xEEPXBGkTks3waHJxRvtNbQ10jnLrdlRT5ger Li9Xw6Oh+BsD/N9q4NP1xEG6TQwN5rqODYjikeoudeRBqxpQD+WKPbWBIX7H 67tLbHh0gY4r5OT1GjiQMrFxEGHIFqg5GDbnkUtJVKP28Ro455dzR/YuhqoP lMvyjc2ju5wOcmX4ativzvPaKpWMmBs/6MlXz6MAodx5bVQN/tl0qhWtJGQY cO2dbuo8ujV7t/NkSDXUp75ZSS8nonTt7fDX/vPI9s7ttYMvqoH4SF9svwsB bZ4qzvd6M49OGCc9EJCvhp0g6xuEo3h0a+xdT8LDeSTKY7TwhrUa3N5+jk3I nEFTL9ZZenjmUWnyal9QWRWsn2xrVamcQmKi+ZfJdPNIwrLtnHlIFfQ8SfHn /jOBPq28vUdHmkM8Y/QZ5hZVMLam3tdsMozOfFzyu1owh/Trv1ljx6vA6NLh lwKoHN0PIdF/vz2H7mbJlHLZVMLJuArJSJ5UFPconb/g0hz6b+DotL5qJcz8 nk2pm4gDjPOlcvuxOXQo89atOu5KKKhKveLI2gDeqXOu+3CzKMKwp5y3vQIK H2rlUzPioLJsctf87SyS7rVw3LpUAX4XpiJVb04As1sCx6dHs+iACTgnHKyA 08t3fZgMpsBA1UguUn4WKUe/KbabKAc7D4dnE1xz8K9r9F0T/Sy6yLY1nxRS DoHa1gs21fOgEhkTMUWaQS1adwb3WZUD1eKB5WA5AoQ+0S/Y6ZxB09eoaX1V ysHyMM1oXgwJLs0PrIjGzKA5MQYu9TUEQpb0shNvyWC7IHzhhNsMYtbyEP2c icCp7vegLifFs9ZdDHYtZtA9+VtbtC8Q9HHcMjkZicHObk/gtOYMSl+/83mQ B8FULV/YyykMrtMK1jZLzyD+D1HV28NlIKHOZ4rbw8D9yIfNHK4Z9LdDuNIy vAxaE43DNQgYNLJ1ikTRzqAXSzROwlploMPIerQzCQOmM+dNPpOmkRSOF5M9 UgZDlRejusUwuM/rGP6iexpxRnlwRtaXgva/U3f2fyVDuGBr073iacTNe/ng TbdSUJ5+46OFSDB8mYdKOmEaKThwZ4JCKXw/ahbpGEkAU4XG57Svp1G7V7vQ 2aIS4AuyuyZoNQ22BuwyiYenEajZYSG/i2FFJnAw3HcS/ppaWXkvTaGzsndy 818Vw0Z1VEeG3zjsvqxM+G9gCnH+eynOf7EYxnOi/Qgeg+DhaHFYIXkKWQw7 mK+k/AUfvB2cIJZBRPjf4eHrU+ieQn8gpBTBaLr99m3JUVTcoffxuOMkUnXO oInMKwA20jEBY+lxtNf/O2fn6SSagokPSQ4F8Czb369GdhLdwO2bm1KZRNFt +jn75ApAxOTXsRPzM6iJnHYv59gk0tfhvZNclQ+xt0cefvKbQ8xru27ftifQ Cw3rXMwjH15tvDZiOoJH2jtaRS6TE8j/KHWvu3o+XKJ7lzgYQkQjh7fO3qPM kwj1mlp8bx6QYh76q0WSEA/rXR2piAmUIvTo+7noPPix1Kmt8R8ZmbMnenN+ nEByfPsy1ozy4Gq1QNn30xhKO7teRmM+gUj4BbsTAnlwkLH2PIRjCBO4vUxU n0B/nfm23cm5wBO/uveW4ndXLsXyd1+ZQIkjsXI383Ipnm8600LxQXup5cfF 7BMo+dBTaa33uXCfpVODi4ihYnmVrwnUE6jmgDmWoZQLWbzkcvcUDFEpR1V7 zY0j6uY/Rg8P50Lsc6q8FxIYuqmBbbxuG0ePnioFaHblgINL3OLbYDLy0lYS fpg/jhor2B0io3Lgoin26VgdEbGYEELPu42j/cRvTseEc2Dm1ECnQSwB6VhA 45GX46g+VylMdS0bSK9in1y6g0ff/gveXdEcRylqYq+aUTZoJS6icKlZxPtJ 9lkV1zgqG8Gplt3Phig/nEyb3TR65hEQlUY7jhYH4zSFObPB4NKjm22hk+iX /2RbIAmHlH4msRHm/sBl+9aNqzuj6EqMj/TTYsr5Fu/arPXxD4zdyEnYvdeA bv4dOrijg0PPJF33d2VmgQM5Iw//oxRlpv28WieLQwt8NxstHSj14LuCJ2bj 0Mko6xeB3Dik9+E3h5liFgRemx6R2iqH/nXaoNvdYyi+i9zdmZIJTyoe2rHn DwO/kw5zzOYo+qJTLRW4kwFyobPZSRk42HyMt75cPYriqsoCAkIyQOKZilfX xAS0yH1oq/EbRU776KlVhDJArUi6wG96Bmx3f/qTuUeR46q76LhBOthzGE+p YkSodlllUFAZQR+yJEsqG9Jg/o55zeo6CcKNvV51M4+guF/Jo17macDI2Rlc 2UQGCyWO5ueDw8jN4Rn7oQNpQEoZ/ynzAoNr5/5c3EkcRgIn7KyVElLhy/jG xVttGLDQ3PQJtBxGgR5dIxKKqcAdX8kutYPB7HQ/nk9qGBU3fDQbx6WA6uXu 5/lLGPytfaX2l2qY0oeOtMouKXBt9kdMfyYGfslUaXcah5B6VXW5CU8KTIaP ZLFKYPDUM+TgZPAQync0CJGpTgbFr1dlFCj5TfyFwAt7gyGE23/TpdE8GYrk ny+HR5GATq2k/jD/EGp+4uTBeigZeEzvTHtcJkDm4SkP8b+DaN6re6xdKwns zA99Mc6ZBzei/Wy96yA6rbd++ebGT7jXhP8+TTcHui2HVQw0BhHD9vMYm+8/ IT8tsnFDfAp2/K/QuuMGkEiedPkG8QfYEanmVNgmoN26zow9bQAZNYfZa4b+ gCKJLEOT5DH4ce9xze83A0g3T+mWifwP4Lr6dqCXphfUWVzd+mgHkOu2l0R2 UCI8EPfJrgsLhm+hnfsuCPejWcN62FFKgKjrpnYvH2UhSztz49K1PsRDE1PB uRQPcg7yL/pLK5Gi7maFZnkf4npfrv8vLh6oR46eUMzrQnMneVwc7/ch/bHl 0QGqeJiIzr19RX4SSUf/t9f0rhdVr548/zUoFjh6iv041acRgzON4VOlXqSh n1lmuvkdfGhkD9mLz6Ixg8iyFYZe9MB80uuXyXcw2R3JV/TAIw+uCmeOuB5K zjpXGCATA8He3fO9BALSo3ow8udFD/r46PJp4ZRoMD25m3uBi4RExufklK/0 oMDFoSy5E9Gwxeq7Pj9PRj0JzNtWtd1IhuHQ2+x/3+BfWOUJkQ8YSnH98Xj/ 127U4e8Xf9LyG0QapudNDGLoval0cfijbkTM/U29OB4J6G6okimFY/duNrML 8XYjzw+WIbIPIyHApeORDYHiueefOpYTu9APQsOjjbYI+H3dQOBSLIbWaVcG tPO7kNJ2lSa/agSErNRLn6NwtWnW4+r8xy5klvX4fX1VOFzWHf0k9ZSMYutP RzqrdqFD9IEDQxAOZ3bi63KsScgmNXPjKGsXxdNNXxiVhgGZgTby6lMiusJo 5Xod14n2CwphwzfCYIIkUc7OR0DLNkKMbzI60c+xyxejWkLhg/X9pYorc+it XCpvt0on0lpfrRmbCIEF+fe3/qTgkH1bwp2w9x1Ir/+pu9eZYDgVpZsuE5EN 6/iLqhLNbUim8rNZWUQArNxFmnICVeCQm/IkzLwNZcxXSzO0+4Pk41HTKYpv bTrzvV2nakMlIp8dxg76AxOP3QPmuT7YZuaKLZJoRb+PWl07/sUXgoQS1o/9 NwVUUiyr12KbEUnm8Eh1pBccOlXi6646A5+pAg7FXm1GN++eZ5Of9oTosu3W zL1ZONB4mJuquwnJuJQUyF3xBG1teeeRTTzQGNDcrqRvQuvX9G409rrDvcm2 M+qyRPA4//kpb2Ijqqo3En4k5A74xH2jd+5R5ndh19btWiMS+G/qs6XbF3i9 /nYmY5EMB1034pRtGlAz++M35+XcIIiE5D2dMPBWt81PZmhAB8/cZWyKcgXh z2z5a90YMBxfaqJPrkdTMmXHVnc+wxJpEFlTuOQ7ZjX+QrEe6dmneP0w/gzZ 303O5K1Q/DGVsNY4VIcsO45YDDS4AA/5h3T3XwwCbJ4zCNnVIU5Vcn7wFRfo WQo5df4eBsxy02f9mOuQxajq667YT1AkDF138sjwlcZYipxWi+4HcodFMH6C pZTnvnIEErC0jarfvVmL8qqm7tXufYBrv5SZzy8TISTisXHWWA3aiv1wx3zW Gbb1nRY8WwnAZtxvf9SxBjkWMPId7X4PBw3oKw/QzcOJ1Y6Ert/ViC/iqIFH iSMsfRCUd0fjcPp0zYbuySokzJ2wsdpgBzZLcz7dSmMQM6XIWJRdiRR6SaXE AVuYUnIxd+8fBM7fZbzsGpXIu05Un0x+C+7HudaO+3UAt2LhnWGXCtT8OIyX ReAN8P1m6dX1jUNqrTqqFb0I0YQNFxdkWINJsX27lRUlD5nzxne+L0JmnkHU C+qmgL/6uununWn09b83nkF5hSirapnZmM0EBE69m//DOIuq31dZa5ELkNdI 8csv00agP7T6o/08HgkGm8h3Guaj9kfUdOWqhmBzsF9j8x0BGXzP4QuKyKP4 7OYnkfMG8DEudvnLDyIKTN1/RKsjF9GTKgL3jj0GGsa9D2fekdEGShzquJ6D /r4tsm8Q1QVmrVs5NtwYuti0XBnolI2ge1698tEDUKzpcqmJxJBhr1KaZu4f NL0wW8gRfh8U9zUHGk1hKHg8OPAoKQulNOYUD81qwjU5q4j/f39eR5x06ODL Qp5GGg+2b98Dy5ds29SUvLSCPSvnKf2NGF6+OLznrgHaVVeZtyh5SZ+WPiBB JAPd8uuKbIxWA5G/3PjzUhQfPJNiwBP3C5VfGHjweEAFBAr0WoXDyUjwyi2h hKNpyEbBEf7I3QRH4kHp7QYSClSd2zzrmoKMO/J1mmuvw8ZRDaeKdiLaMPRs iF9JQv7D/lHp9gogYax/9fJTPKrzrTeP70tEUlU8+u+ipEHZuXLdjjiHRBKf S5xVTUCb+fbr/dPioBXKWTl1fxaFFtEfiP8bhyRi95MrnS+DnLPuw6HSSVTX HHhdUTYKCX/7NPBSiB++yg7I/qkZR6H/OsYUOCOQA9/EvLMwD/hPLdO7mo8h 0/MszgrUoejVFRMj1eDTkL+5Ey/NOoTE7muxK0wFokbSyONyajbY0LTgnAvv RXt756w/+vuhYyvP3SvUD4Pfiqjb5a0OFP3oZ+oHbQ9kmNUi8mAfNXz4uP66 2aMRSeXwTTmzu6BR7m4j+1tL8srhp/p2FstRyin1a5vltuhKwoJZSvCIPCGm 7743QwYqj4w0XYw0RhHvpVQF4vLkeRzqY5JzgkFqL7hGWVoVyKp0fpo4V/kb A7w0HQ8LQT/SpI5N0hqePPuYwvtfq3w21Yy0QXsN2J76Qz7M9B4S+fArj7/N yT9S4Oxk0W4Dziv9Je6KbnDjk+qVkR//5GkjzPVKtLvh84DuZw8nb0j8VssU iacBlbwfT4zG+2EZEXir9b6CLUO7qE8BM5CO/82fq8SBjvnL+eqQMDCjulbr NsoFOF7qNYv6CfC8elG95k8kRH17Mhgbfw68OFnOXciegr8MhN81rdGwHMNA z4JdgP54rTRJ/jkIeCQhY+IWDyWij5S+CV+BTP9jGS8y5oFfKfTlJEsidDH2 vFwqkYSVi70uyUcIUC60Gm0S/wNMJjyw7kgZiI8fxx5rk2BpL3fPpCwZ7K6o up35rghUHOrnbaXI4DPPdnlKPRWWD6/eGaG6Aa8r1I0nSWQ41/XW2HQoDTKe yKmYeCvDfjLbWoQdBqUl3cFTL9Lhx0Uuy98yqhD5WaOxqR0D3STxGtONDOiz iSkvO6oOAtPdnmtbGCwEhKxNuWfCLfECxRCmu3BpZcBoYB2DarnN4GzvLNiQ knQ4wa4JZzwuWThWY/D1clr6kuYfIAY9Ma9DWrB2SDuIzxgDg/N6NWKnsmE3 TZsw4KAN1l/4JF91kEHw9KFRG1w2iH46SXf3pg4YLBxSPsdKhjWmv2vZyTnw gSWt6DzfQ2juFfwSwEKEgH+nBK5I5oGtleTkDqc+qGre/q9edAbKmwe8r9wv hFnqzcSfzsZwcId1U0lyCp46DNY9vlgENbmr/JtNJvA0tUk57NQEUJ0bOuC2 /y+k/KrB5/OZQbqBoeO9w0Nw3Wn4Q3dOMbiaTQi92HoGQhlj3XVixVB9YczG lg2B00GmxCxRK9BluXXUPiACTHvGMmOICDyG0zlUBqzBSTTEyZaQgVwVXq8Z G5dD67sAAk/da8iB0VqBx82Il/j6io9MBeDXYL+8nw20tvT8utWOQ6ZKNhlD +Eq44fXt17SBHYiEJV0u25tAEpFLTZhOFUx9lpnSfGoPipEM6ecZpxENZoPf X1UFbt9vyNk8d4BN6r/SFUVz6Oe3N/xCUdXQIhuu1ublCLgPmmVf7+GR7cLy TQW6GrArHaNiSHSCCssomcgiAlJWfmuq/aYGzhkF9W5XvAftVcbK/g0Sml18 G//+di14MkriNpk/QsNV+RP8TWRUoLKKvhbUAqcv6yE37k8g5k5TPfkMQx4x tqM/eOtg82xFjmnxJ+ChHePcbcGQ7vLqdmFAHfTV81pyPXKBPwwnvaq3MSSg ane6ZasOCj7JSub+cwGB+NbE6WUMbXxfuzr+rB4iVOmZeGM+A4/sx5HXORiq X7F7uNpVD4683usvlVzBwkpIt1cWQxFq63YHFRrgCWMF5k90hZard8/O+JHR 8zj7UI70BlA8lLHuE+EGlRqTHa1pJCSztp5z+WQjCJ64w2Si8gV0lw/YnQ4h okPqDp033RqBReKHJNu/L7Dv/osXjV3zKG3dgclKvwmmE61zD5h5gPJBB/qZ exMIf8fRq4yhBb5ruL7iNPSGx1Fr/4YLU6HgQ1lZpmQ7/J6784zd6ivUf2FS 51woh9jU3ZaiV+0gtF73Wmf4K3AyWF/0124Cj275kaoESt3/9Oe924FwBxes 9KWsD3QF0VYfYwekP9AqiRANgowPmiWaQ1Ow3oOkqWY7oEht13+WLgTekifN Z+pnAEdFdesQRydAzO0+H5cQ2Ms5wNzvPwf1FxV02e53wg2HN/wx2yHwVXWK XBNOgAiXclsB1AkddVpjtOuhYMuXHerYQ4RP6VRfxFY74aHcIRVDuzBgzzZQ px0nwfM+hRC5i11gdDU6/9x6GORmxP0MLyTDvX0uicpGXYAvoxfRfRcO27EX 4wr0MJAWrsi+F94Fy813M9a2wyHTc2CmqxwD8e7esLKGLvDSTHvD9i4CAuNc nbrXMBB1IjoKbXeBk5kfx+u1CGj3Ouj3bBsDQZ59ht9EuqGR/l/aQdtI2I3S THXrwICv4YQSvVE32MqSTo+vRIJXNFvjKwrfuF8L89sFd4PTzovXa7bfYCXs 1VIqgQxnTigdnqrphtE71imqG99AcbPYgFGMDCfKHmKaG90QLbpTNegUBbfq LijmqFHyoZlVFxLsgYJY1qpUqmhoNwo9uy5JhCMMbgXCBj0gHJv9M989Gqg/ e5Q7beCBPicyKiqgB6hEBl9SM8ZAoFWFFNP+OdijqjGxX+mB4n+VCfe4v4Oh 5t5U4jscEKJPr4iU9QL64TyCvxAHu8m9caEJwzCtdLk/eqEX8EbY8Nx/caBz 9PUFl/P9gMMrlxzi7YNqc77WL3/jwGfnZLtQQAv0Sdu4zXj0wWeV0S/RGvFQ aNxot8CZg6q769m+a/YDv5mr2jWnBGA6n+1V8nQKxTDYSRyZHgDWo1EC6is/ 4DTNnk+/5AyKyPE55XRiELhVNW9cVf4JWVe/f1cnzKIQvfidOdVBGKpv0qyJ +Akrjrp9nNN45J3SXFP9exD0Yo9c/wtJ4J4jUb/JR0Rf7k6kio0PAtda9zne kCQQDYi/clmOhD6trfvFsQ5BUMjTf4LzScDZ89hHb4KM7G/w6rx3GALXlGr7 E6HJoBD9faTFGkM2BGkZfNoQUHHGnN0mJMMhUyOIo/DEMugO58ORIRAaulr6 USkF5CMVfJS2MPT8qum+WqZhOID7ppYQlQIZZWrRNhsYMsW9m7lyfRh8hcob TFZS4K9zZf7lGkrO9AhojH87DBXlqTLVGqnA05rs0mqEIT2Rn7+ZkofhZ7Ru TFVyKtymYgkcayWjBz1/g5wHhkGyvGHRaF8aFM0xfFY6Qkb33rfbEQ6PgN1F KulYgzRIa9dK5eIkIXXeGb1H8iNgOrpp7VSURjk/JnRG9xGRSuOWfN3rEdjr L4pcO/YLtC4+Ety4M4+uneSnS+wZAcWfbpUN7b8g8ZA0W47oBBLMdQ7Xix0F UqTGi0mNDAhuPZWM1bvDPrtjw6ancLDyrpdmSSwL3C3vr7lcKAS9p2mdheI4 UGOgMeSyyAJ7/oXHb5JrIVsNGhju4eCoshlLWnwWnH3IIJcZ1wPGXC/yc91x QM7869F39A9wjxfIabJNQVV9ydcDKzgg6helB639gcfxT6aajs3A6RxNj4dM 41AjaNuXdikbAg3UnP9hs/AmZsY5XXAcGOKM9blfZoNe/mMW77ME4LVhfqlt NA7ET51vecezwcnWR0T+DRGc9H8apbwfBzeiNv2fMzkQsMIUqRlEgi5lmYfb 4ePgu0e/FvUwB847eARsXMLA9bTpzR+tlHVO0+K8OnLg9Jjt1bQMDIZo/slu zI/DTb67w76MuUBiqPbfXsTgyoKfmDrNBDD2NoiRbufCni71li3FN30GeS7E cU+AiojdZJpXLjgzbrDso+SfyeoCrhXZCcCEtck1dbkgZL6/aPEFBrKZ6sdv 6U4AfY/JfXnaPPBk4vbbbCJDcOQ4Q7TNBATy/mRhu5kHxwMKUiXWSUBwtdu/ 4DcB3qdOCqm45YGvq1kmB4kISlaHN5VSJ2A1vyS2ryoPbh+4zOubSYCoh3EL 4dUT0LIVZFmzPx+OnpznzVfAw/J1iVnC2AScmPsWynwjH4yvGrFXDcxA4gnD 7uDjk7CVDytlNfkQ/33MdPQzpe8rsn9Puk4CjcgIwamlAOgNDuIjEvvA4JfK T6nYSTD5reCjzVwI067iTte/dUJe6HCUz99JEO7tcfOm5Cbt2NtBZL1yMLOg 9bqyOAmsZ0LdGYcKQWb3y+fPHI2ohlXPxPXJFHC7PKu2IxfB1Wl3D3nZTsSx S37U924KtuUeSsiI/4X0JV8dNZU+ZDvneu9i6BTcinOkeuz4FxReDYpKWOIQ X2nGta6mKbhkoP0zl64YssYr6E1c59AXc+qTvFenQTHr8YX68yWwJFZjePUc Ho3cC2O0156G78kDL+2sS2Cf8O1y7zACkpC9SNNkPQ0Wyl70nwtLKHNxXri6 j4j8+Mq3OH2mIcXXYg9PXQqHWzlp06ZJaJrpwZJN0jQ8cHS+9+d2Kfy9dJ5a v4yMrm3Oz9VWTIMNU+VWd2gpXKo/7PLwKYZCpz6MsY9MA5W6NLUOrhSkkzOV PjZiiNTK2mu1MQ27orin4hfLQNXqnzErJc8oF6U0V7LOgGVxEftruzIQid79 UbKCodjEa1XHKflUg1wtcrCyDEay953yzMXQul9nkYXaDETVU8fsHUGAWq5S zVHyzF2HZ1llZjPwSO212X09BAUH7Pfl+JBRsvF2EovLDHi8YfY8kIyA++Wl LJ6fJLSnHhhjHj0DfDcmDrCuIOi1+KTd4UVEulLnQ/4WzAD76JIl4i6Hfpkc //Ol84iO4Z6LMXkGNDsU1AusymFTJ4pz7+QcesivVy55cBb+Ofx6rBhaDmVi beWfb8+gX9dN9w6dmwUqr4lnG8Xl4MHVvCioOIHuvnNwznk0C7wTeXakgxXw 9+nFqc6UDhQ2E/fuQM0s1DgsWi4nV8D1JPpn73kb0Bz1r8L+sVnQNUEm020V kG9ZTG8RUopkOPLW0zdn4Ub+I50DGxXgo+emfNY7BUbuN9g+uDQHkqHLlxtu VQK3d9L1cfs+4KtY/C8pag4cpEoqrYiVUCqjJGxI4bv98FaWY/4cLJqSvtcf q4K26WhLMSscNKzTLNzpmIO6Tbz9XagC58sPjhAyp8BShN1qnXYevA1vc08F VUHm/IWa+zEzgFTPZTSdnQd7kd/YYkkViO5PrFwymQNmMxFirNw8lJuNFAvN VoHCp9lbxNcEyI26bnHLZh5eHYlXuyBXDRcmyHcOZxOBrkA99YzfPLQ4Sxwh mFfDraAg/6X//39Kp87cQjJlX52w5oHAanA23k5r+06GNNJT/prKefgZXuW5 WlINyvdPdPKrYLBN/9I8cmQeziiWKsrPVYPIzTvKg0UYaJyz/Wm5MQ+LWq7r Oaw10NLcoMFDyVFx8HFKkRUP51qOpelADagXD7lGUDxuSc+L97gIHrIz3z46 /7IGPGMfeF9pxOCGXbAx/hYevm/G0vCG18AS27dTtyi+FhoYE19mgofZjPDf 6lU18FFTw9qzmgyz6cm4oA948G14rJ2I1cC28Pcz+5dIIFP/h+tZJB4CNYhr 58/UwvkD4pJniUTwnSx+IpuLB+yqaljfrVrIfTgyl5hLgJHdmhimNjyk+9uI 5dnWglAAn328Bh4usbcPT87jof728yaUUAsN3l7h/zZnoPvelJ4vFwGO7hUu P96pBTH840t0x6aB7xU58qkMARRXWV1JgnVwYaGEQDg0CfYeG/3iDwjQel+W Kf1hHYiyfEobvzQCZ8oYdEe8CbBfDePIyq0DM3WWsr6ESjC9KHFfZI0A1exE tm6relgOqXyxzzoL8pQhaN9RIgzfT/NuiamHurukghdMQYjOWLWj9yIRNFfF d5ab6+FcG0+X7Ik6lB5hcPejEREe/JfZX3exAUoHHGLsRMbQCo377fZmIuRr XH3hQ2gAzfrXaoud4+jm2a/eP2Yp9Qa9GuLpRjDe+7X/2MIkCpf71uCwjwSs v29xOqk3AmNyXrFh+SySefNb5aw0CaYyvWo5fzfCtdeNktuv5pGvf6H7qhal v1qGj4mPUeqHDsVtkyj8TK2sabAkwYX720Z2zE2QdFeHld+EhD7jepVsEkkw HR634PKmCSJSRReCbpDRSNFtS4cSEvRmTtxZiG8Cqm/cs10bZCQTXB72oYcE b3Kft39pb4Keu21bwx8onHwlUe5GJkHhTzHb63tNMOLOJzjTg6GFm2nz3nRk SHFVuHZepBm+vWj8armDIXUuLtZAbjIo3gkSuGzQDPdUl8WkVzGUvBEsF36V DF9oBKRMfJvh4tKLe1qlGNrXSW8eo0WGN6nUL0qKm6FD4eZ9Jh0MGfxyDkh8 SQYGGa4yOUIzMCtY3z9YTkaFbkuFqW5kuFPwSXKKvQUkA7IvcW+TENuTZxOZ MWSQO3u+M1utBZbNLX47YATUzKwpUdJG8YBiuTc1aS2wao57W7o0jWTszg11 X8GgnjZSv/xVKwwP5/H5np5CoXcjDwypY/Bk/hQWF9MKnix7jx6dn0ALAowi 42YYfC8c/ZHSSql3f2zwHxpCyUPrn0jhGJzmEHcUvtwGRaubF9MdK9Exxabz tBS/ObZ7pJlhow0eOZKsvSuHYYPmatFp4wXYZALawNp20DPPOYNzw0GSzXLL d6sFCJv5/kIG1w4O17YtugMm4P5YxsRZpwXwyol7sv6vHcizO0wVd2cgs5CH QSBkAV5d8t75JdwB7CmWi9x7s6DPN8L9K24BnuD+S05U6QCy/3+//njPw6Gg cAmRjAX46b418duoA2I92UzNhIlg/pLBULx2Aa7krzBShXXABl+FX6QCpS/7 a98UdC7AOzDdu5nVAUptgdXnBchQecPFU2ZsAY4jW5fYxg74PfDqY84EGaz/ yMaUEhaAVuJCKMN0B6xENelfsMaAg3Ptj8LGAqjHf5Dx2+uAkzJ8lfnNGDR5 Z9VWHViEmf12/51l7wQ6iQK29v8/T71uMaR8dBF69ZlkGsQ7QX6n3+vSPwzO m/ItNHAswul0tRC3u52QmpzoN1iHQVf72AENwUXIW+T/dN+iE16GaKMTzzBw ufbtVLvkIvwQTt6R+NIJ3169dnXoI4NomrbIfaVFmDOsZxCK64TtF5f/Xhcl gY9rg+4j/UV4k7wwptXbCWMXuCX4ThFBesH11fDzRSgoWU90XeyE6D/mCacG KNzUl3cxtF2kzHncvzqGLlg6HO2In5iF65I5aWb+i/C5sv+Rj1IXHEpTvCN2 eQawBEs0920R2P88Mz1k2AWz2/c09Cl5K4ZJoPtl8iLQh0VQxTh2gegVQpH5 UxxszEXv/Fe+CJPXcaTtP11Aq3PDGGfeAplR7vc+LC1CuABddPLZbrAI7t5P 2K2ERlb3WSaqJShw2qnnVeiGEztmugqELJj2+fIh/sgSkE85/Mt/0g36W+eo Wi2L0On3bunVAksQLbVpyhPdDa8W3+IMiwaRh/5n+sOGS7C4ftn8yMke+M5k amz93xhK6HaJjX61BCWJapmKUj3QY2AzIPBvHJWqu0iKOFLW+Ta75avTAwe4 03yyTsygZblPppqhSxQu/I59HtoDRxqCRnNeEpEhx4fy8KYlCPO1PirO1guT 53amL3mTkGOos+6FgSU4FJhmxy3eC4PBJeV9b8ko9Igz+e/MEgTjXozxaveC 64vzaQyCGMr68v6L+soSiDll3JZ/2wsBu3lJgSkYatpxOjNKvQxTT22LrUN6 oYmeIdsTw9C0rVOONdMypAVWiBTm9sJTY48btrsYoiI7qlFzLIPXkaCfJ3p6 IS2sSfgahW+nzR3HgwSX4X33DJf/ai+UFOdVCrzFkNToO4dz0svgNoNiTh/v g6llqycTQ2SkpfOOKf/mMsQrcXCVS/ZBrpaTlC3FHy1bHZJU7i9DD2E30Um3 D64HXOEW6iagxDL7bgurZbDnuFsoFdkHyglcQlKWeFQqaf9y22kZZpNKVaT/ 9sGVsf6Qib451P/bbp+/1zJYOWUN3h3qA0dy2gk34WnEFGt76c+PZSih4T1c zdEPt7RcB+Y4J5HgCdu669nL4FqckMIN/XCq8OQuIuPQzYC3T7rRMhiWJKmG PO2HrX+yxDSbfuT08Y3v+uAy3I+VDStP7AcVxRePNo9kolnD/+auHV0BeXzE I+GLA5ANjjRlyWGwr//1xzbOFcjYkGG9rjEAnMdDuwntf4Hj3uvjRkIrIKZl 1G5pPQBD6ZoKsqc74L6C9Q03lRVwnJF5cCh3AH5QvY7dxzkBiNsyrtF5BehD znrpyg+CT8TWq1y5KRiMeCWl77MC3FvTT84ZDcLa65enJqVmYJX5VSspYgXu ZYhI07sNgpfm6zes+fNwkfrlNnPuCswvqa+yNQ5Co5AB1YoYAW6+swhOqFiB B+48A9dIg7D52oh46hMRni6+EBRvW4E+0/flzsxDUNbIKP7yMxnCx58/1MWv wJn9pZHXdYfAU6WSnlkcg+xHz7G59RUYrUz0qXMcgut2pk+Wf2PQ3PHM3ZFm FXJaGF1Mvg+BWd9iwLUlDGZVn3EwsK7Cd97dd8crh+BWb5OnA8VP91Wa58Zw r0Js9X92uOkhsOEhB3+l+CmHjPltUZFVyM96YVdxcBje57l+6H6JgXS22US5 7CqMz06/KxIehpre70dWKeeZtqDZOy3VVeC1mPlUrzkMBtW09ft3SWCVYMo8 pbMK9lIvfci2w6DOOxvtcogEfu8io/1NVmGZMNRdET4Mbzm+KIfhCZBxr1Xg 6utVeMDEJ5RaNAzRw5lBSULzQNqVUvT3WoW6BIUDuTvDcOGj+Nbc+ji8enzY RrpkFfS2o/X+uo9A4t4d/acNYciCLbvL9+waxb/wsV7Ro3Bbejj1ok0R8ibM GEqJrMEJjonaGDQK9MLsZd5falFq5WniuMwalIhkb9VMjELh4UJp4e5uNPf6 ywEp7TXI/z7kr3VhDG6sPghd455Ez1seSoy7r8HTP/cf6xeMQQKdcZLnkWnk 8cOvwid4DW40MS4yD42BwtWR1rmBGZTsVKkhGbcGR7QTQgZ2x8BAOaP4Fh0e zV4QMvcpWgP+R6mf7/PigIFlPemVCQHRURstSdSuwWSV1PwDCRx8lUFmv0OJ 6Hx/6Adc5xowmWfrGKvg4Fyo9cB7WzIyc98LkyCuQfm9V8qRL3Ew/zi7/SI3 hr4YiPPiNiivJ/JXfZUzDqq4ZD4rRmHop/iLTG+adZA51ae5EYCDaupDudQz GKo5/F1WgmUdEtvJ45IJOBhQkju+uYehqYnOujHOdXiPlhw+5uJAa7Zjcd88 hg78pdP2vrgO9dMTx///u9633luZQTyGzgXK4cSl18FDCRWLDOCA5XqiKMcF DN14/t+rsRvrUNjv8SyUgIOFwtN02i5kZApJG16a6/D4pxw77S4O3NTTXabS SMjt+JCb+JN1+C91pOsT8zjo5C34HE8mokQS09Exi3VYn7IIoeEdhzc7y559 HHg0EfXugrjbOujvUxMUvjUOSQsewqcUJpHRhrreaP46fOxlT10JGgclj6zl Lalx9KnNZcazah34wji+oZ/joL+5mcV6cRTFJeXbXGlfB3k/hqCQwnGI/SNU 9IejB+G0uX0859eh9mxmmP7oOJAbvqfSJkUhwz/LxWJnNkBkinbZVJDCEUXP 1dS+cTCw+Mbh4bIBz1qpNnSqJ2A1SHTWqmUSNgcOti76bYBF2indp30T8JOW O+lU0jSEq777oP9tA5bD9j16g58A3/dHCt+uzkG7wMOxyzkbEBp/42Y+8yQI vzxRpvIMD5YRdQHRaAMyUYzoDO8kXNRO4tDIJsAheikFuuYNuEOuLeGSmoTh JdT+tZkESrPH4oenNuC0sxfKNJiEpc/PTxRGkGFM54umyuIGqI3wSND+Nwmu goYCc1IYvK9doc7e2YA9DV8Nc7dJ6KfnPiqVisFJSdPsM4f+wdW2Gvr28EkY fSquvkvAIO9nl7HH8X+w+bTNXOnXJBiLEfOG9jDQOqbEusTzD2B/6rPysklg aYg4kz2FAeaWXaUv+g8O5WsdVumcBMvbb1+mfsPAd+Xs2zrZf/D4XbNm3/Qk pMuuW4vwYCBgGnhO7NY/uKxxXPa/f5Mwc3bp6pITGWq6qHqitf+B/+VLdWxH pqDiic6J+RQSGCu9/kJn9A+sz7OvVXBPQatkfaanCwGieO7ODL/7BxWKT+Su 3poC4bIrNKVPpuHIOEOKx69/kCqfbBEVPgVUIb7LT1wmIe3e+4dLBZR9kxWP +P6aAuvxGnsdj3FQKSfQG1RT3hd3upY7mgL5/DdZx4IG4VNs4wuxkX+AV1qs CZ+dAjaCr7D7PIIVA8+LI4yb4KYpd0dEehpceA3SUoRT4WvL+pDK6U2Qltel e6U+DSPfpjztr0Yh4WvPfLP5N8FG9rpJztNpmDb1YeDPrEXPziiTPBQ2wf6Z 535Dr2n4eXbOoixuBPUP7s8Us9mE8i890xeGpkGRzDyhRMCht2pvDGM+bML3 tdd5udg0GNzPvXybNIGY/04w0ftswgGHYX7VAzMQgXHhzkTNILXIitcjiZvw NJ131V94BoppXenZdYioVPejmGfPJjwZsrns/2kG7t9w2XxrREJ6deSJpfFN sGj3P2EeOgN/T0bxJyiS0brkk2AD8iZs9zjGqaTNAOubcfaHq2QUktSiVL+5 CceIks1iaAaWo7wL/Z0wdOn4tRUxui3IZqn6xt89A/Ixxys/dWGo5Uv6jxjW LehR5WI4Pz8DtwNEN9K3MWSxevoBPfcWfAi8zS2yOwNv66P6e9cwRGfmQ/NG aAvS51X6gHUW5usF12krMfSjezNvRHoLDLXYLj8WmIVwMfZF7ycYUrhhYX7r 5hZENGUJf7o2Czr3abZWmil+mjNwPEdzC3QfcLT81poFr4pbkcd4SehEcKG9 p8UWmH0zXxFwnoWl8rYj8keIKHefgMCy3RbkPVB6/zZoFsqfjP8VasWjezbh /QauW+B1diGpIXmWMmevVPFDs8hT0+7qlegtqMAXTX3tnIUz5Qed+2lnUEiz 4Kv01C1wbTCM7Z2fhWPX0/enHZ5CMSpj3/kKtuAYh382P/UcFBpc9O80GkNZ 124dONm5BVk8bhME0TnoGvb/749+Heq7wN62TbcNVck9z7f95mBfo0708aki hPvRSm13bBuOCaPZ6J9zkKcYdWjDIxjhuVzFMZ5tkOG/jG6VzkGwJGN5oE8l 7B0jRo5f24bdd7/tK4lzsMNvMGMoOwL8+8pMa99sg2EkI5O8+jwoMN//njqL g0vONuHgsg03a2S1rprOQ5cVQd2EbRJkNs43FvpT1jFbJMH7ebhRb517nW4W 7pIDRH+lbsMczZqIdfo8LBo76QXXzoHeixvG5wq2gZ3mZnd49TwM9IVk0TzG g+nURkhM9Tacfnems2l4Hh6fKOfJ3CCC/aDRZsDYNoQh074HR/BQc1vU33CH BJ8eHBc+SNoGxqCe0V98eLC6cY1DqJUM3u2Nhp83t0FvoFX+iDwe/Ii0Xr9e YBBy+2PQFt0O2IfeW3+nQ9nvzL3q9lYMYmuv1Lw9tgMWtXr0S1Z4KLpyuIVI 8eo0xbl1Es8OXHpF+s/WAw+cjwWGMpcxyC2JFnx2aQdq3OnFD8Thoe5dHP5C DgalUpoGuGs7IHQ8/c73QjwY0LXENspiUJdN8/XR7R0wY++vUOrAQ1ewnPtT fzK0C/+t7Hy4AzbBvn4r83hwUtT6dSKdBIMpVqu3zXfgnkvDn6x9BGj/1Zf0 9C4BsO99evIuO+BRPLz/tjgB4n78xJRtp+CETyofb8EOtKY+b6WLIMDpw8HP +J5MADftk4fR1Ttg1fD0CesfAvA4/yTL8uNA0IXF51jnDowZjCsLNhLASq7k tmBXL1yzd1qgI+2AzLTTWcdtArzht8jMUU0AMxONYiLPLrRaHt+JNyKCBHeg 1EBLMno9Sk02u7QLB8S1NOmdiMCpMOZ9xLocOT7K5x67tgv01sd334UQ4X1O JNWHj53I7y6Xe8fDXfBSkjb6WEcEgdMVr8STJlCu7OK9fP9deGY+rsEiQoI7 3oJXpwunUGn+T1fR6F0Q6npq3qVCAumDHYLFyTOo7rJefkrqLlTnPu+LNaKc B/inXkUMeDTMX3U6qnoXrHqPVumFkiBDU+3pPmcCmk2wv8PWuQufjudcU82k XP/hoF5xKREtcAi5+I3tglHTMLNSAwkEAqxpBFLI6ABb6MzHzV2ICm4of0jp M92d8hC2mxhiIX9gZKHbA25bWt/cY2TYCeXtmMnGEHf9c8kfrHsgcydfil2E DNcEBDX+LVC4l6D1RJJ7D8icA1VeymQQjnjrSab4ILyXc68X2gPJWatL+w3J kHzY8/2fYQxp6Jz/rXd1D1iT7Z3d7ckwXORYYuuNIYNLzL3Em3vg+2Q5jfUr GdJSlfgL6DH06tDmzgetPQg7MlGYlkKGN6a8wlcfkpHj1CTfUcM9kMpVSr5d QQbSb/lUGkcS8ixr0Uh8uQevtU7arQ2QIb70vOZLayIKjyiwlXDYA/k5Q75f S2T4OjdN7zU0j3LVfWoeBe5B9KYKn9g5DHaj7CekViYQlitmllC1B5Z//1fR ecdT+b5x/DiOcTg4w07frFJRKJJ5X0kRGkJKRspKishshyQjipRURlIoI5VR nrJHRmZW2fucY6YIv+f37/16zj2u674+1/vzep3znMsZH0JxnhAm5HBO9WEr UVKRak1r6ITI2JWcJDZKWfUXehHbiwmc5X5f2bOGelyqlPML2ajJuaH8V1Qr tnV9F2lyYQ29mPu5qxPnjK9u7Wu34mOxvFJolhAmwIaW3cOmm6cR/5+GTUMj /Yi5dezi6f0E+FF8P2gpchqNhVf/7e8fRPNivSGZpgTgeHnKszJhGkXdfP1p qmQYLZOaH88fJcBvfteD8enTKDhRnCEtPI74fxV/vW1PAH0TuR+GX6eR9uIO r714fdO/5bQ1OhHgkXxHiELDNCIXozHP5kkkWZg2Lu5OgOKAcjlK9zTymo2o sB3H78uDe7RMfwLYx5uoDM1Po/4uWefFXBZSvhG8cf4aAQbth591cMyg3GTJ QxambKRxPkBTN4QAqi8KVhoFZ1D8nW+L4R/ZSM/6wsHb4QQwdqwwrV83g7h1 +/r/4f5un+EZh8YYAign8Uc0bp5B+z7H3jq4ykamasd9xB8R4JdVeHG7+gza uSWpwb2TjcxlDoY5PCOAdbhB94D+DBo27zl6P5iNTgrqP814QYAULY3JucMz yMDtcZ8ugY3OLO/KncsgQL7TmUmy7QwaLRSu33WQhdzGFCt0cgkQQ6nplneb QXNP1SvuujORV5t0Z8hHAmgpu34y8JtBt895WTYpTKIb2Xwc4uUEmBo9euhB zAx6Ocylkl8xhJ6e+XlEp5cA7Zu68s9VziCjmAz2wpuP6EddyHSwEAdUd2VH kFVnEfXhNYNCmyAUr/d0n6UoB+zhUzsVi2aRe5OAJbU7D7PIzU/YuJ4DVLec 5dh4aBaRa55fdPVowJoeDhpUbuWAK+ojWVbnZlFJr5nNd6t+rNphz2Oe/Rzw IVTxFfHlLIo+63HMM3gQC209zuow5YC5HRrjxfmzqF1c+khQ1DBmYOi595U5 B7ysn1sMLJtFkmbtp38ojWNflJ4zjRw4wP/79Wt8/bPoTXT297yiCez68w/6 Eq4cEK91+HcXexbdGqDp60pMYTr0hvjxCxyg9KBRO3d1Fp1Wf7GfF7GwgsV/ e+5e4YAy+qCyh9Qc8jlJyrlMZGN+bsLx1kH4uKbvz2OKc8g78ed1/ntsTK1X cWrrXQ7QPlJkbaA1h271pY+VDLKx2cN79yxHc8DWY9kvNA7MISem28r/38ee U2r9sC6eA+JMLD+pHJ9DPHxbiv///gcPda/JJ884wE8lK1nZZQ49YJxyqIpi Y0qvwsA9jQO+k/It1HznkKq5hIQovp8JyeQ4nSwOSK12b9MLmUP1t/6bvKnH wl5FFkxQ3nEA+3K73OHYOTQUoMjjtI+JuRCaUG8hB7z7bwY5pc6hkdLN9v7i U5i892jsmy/48zmfttzMm0MDjTKuXYrjWNJxUXSoAV831dm5tmkOhTSfeup3 rB+Ll7v04N44B2iWcQWnCMyjMKs66S2iPzHLh+Fj9tMcgPWnC4xKzaO4LO9i GeNOjEFO1VVZ5ICv7CVHVaV59Euxgr71bAN2j/V9tIlEhC1d7650GM+jHSf4 OkuLPqLQQmUdujQRUsc8j5y9M48CXTb5h52tRPuUDGMGNhGBfSvBsCd+Hlk+ z+4hujQhzud2I3nbiJBH8aFYps8j34KBU87nutD14Mhoc20ivGDprFlVziPB 93UXt3KMIL/Dk0Oxx4iwbUosLJW0gIoiu6Tbu0eReilRy8mWCHrEGqaB8AI6 UZQcsz9iHM2pSd5TdyRCBY+i9JTcApqXNV9pPD2FPCQPaLZfJALq52CZ7F1A e4PuzA8EMdG2yFNRL/2JoPreN4xkvoC6/e3vfvRkock1v0Hf60RI8E+cLT29 gG7JRdzNUGCjV173dhveJsIVRe8toV4LSEMTSfuns5HL8MtIsUgidNQvbTO7 tYBMg08w9NhstPF4ycDoAyJk2e8kyNzH99nfcfwqrjODtW0aBQlEWOyTSvqd vIAe/c6bk2xjoyRdZsSdZCIUm30UaM7Fz5vwQv6UNxvZ55AGjr8iwp9c4oF3 XxcQn+21sb94n1kvJ6WxJZsI2RxrZgnfF5BZzu+KRTILdcftjPj7ngg9kLU5 tH8B2TgbZup9m0RWl0/vSigjQnKkBPLi+I3+OUf5MC9PoPinwtyLNUQ4ME9R dKD+Rrt3Bd4qJo6jDqyyzbyJCLteuG+y3PAbEWR/lJKfD6PjJEUfgV4i/Pzl aWKq+xtd7h2Iqca6kHXk3Lsbv4ngVBlxyC/gN7p5fvvDQ6rVmM3zYFWXLZxw +Ahd88vsbyStsOlTCrsJe/p1F0e5MicYmNSuIxAXUXvdUaXArDasd3CsSXoX JwTeYwnsoy2in3JuaTlFPzHbzQc9u/Q54f3cZemfyotIjcy9uVJ9FLPPFck+ aMMJTooZq6bnF/F62ap5oXMMe95SdS3jNCdc9iy3eX9lEWkrzF0rPjaB9S0E HOI5ywk/Vo1rZSMWkamCmsHRtinslNZP5hcfTji1mNhCycTnEROVKm1mYkk2 0Z/XX+GEMAdXj7CiRRRIr6rdksLC+q/pRwbe4oQ/wkmS/LWL6OpKvvIBfTYm mzxv03GHE97SDNpiOheRUKfMxi04z5wue6mkdo8T0qwsnq8fX0R6PU9WpGbY WMrw8X/RcZzQP9Lk//bPItKiBEf9/39FB3n4vzGfcIIjVuhgwPsHDU/xVPJ0 szH5rZ+fGKdwwtZ+QetfYn/Q3oaXddK32Zijqce59FecoG7a5HBd4Q+6HUzN jCHgPu6CjDYpmxOCCKv+8hp/UOF0X9hmExY2FN3C5/CeE8RX45837P+DgsTS fD0tpzCnNo0MyVJOEGyjrtvh/Ad9umQ7oSA+iaUtjgf4VXOC51u2x6TPHzT+ BbsqkDuOjUgkHmht4ASx71qtr0P+IOfQ+4cOXBjBXOwI45HdnLBzVqROPe0P CplQ/vautAdzHa1W4FjghKTUXxfvDv1BPdm2Ij91fmCvyJcXbZc5YXOVtL77 /B/0y8VN63lMCzamuK2qiIMEczsbZMxJfxHV9ol6U2MZ5uoZ43xJkARW4+eF VOT/IqPV32S7ujLk9vdE2qgCCU6WfUnd5PgXTXkHDFw+P4LO80/KNliTYI9a fg738F/UKidz7aTEGJoKKCLxO5DAUspbZmz+LwqpvKYfmDyOzo2FjRi6kCBR yMKjgbSEWk5p5j7UnUKuFZszvnqToEzsSspr+SX0YNx90/uDTDS680/4agAJ kpXKQp+pLaFNQjHi1jtYyDml6rz2DRJ8MFUyfmSwhFzVjx3ZMcFCw9T4w/63 SbDq93H8ocUSevTISWDbJTZyvO6s+j6CBD5vHZ0THJfQ62u8T642sv//uyjG 7H0SSE/v/JJyaQm9zOu+nrjMRg42XAvbH5OAoLtxMTt4CZ0p/Lbf6A8b9dW2 tp97TgJG3G7+0tgl9DB6V19IBa4nmi8KXqXhcftz/t+PF0vIbjAyIekMG/Wm eycMZ5Kgwbmidj5/CSU/SM/b0sJCNqJ7r8jmkSCwT89XpGIJNSutyslvZSLr uX6UWEKCswvxjk7DS0hz/Q8KRXgK/XDIleksJ0FWtF967MISovzcXmfSOoGO N93gFK0jgbxGQFU11zJqSc6x8fs1iizfbKi610GCjLSBZ2jTMmqoP16/83Qf OuJieyhomgRS5EOZLi7LaG/OAk+SRR5m2P3Dxk2WC2LGb2slTywjk/zl/W2d pVjFgVd66Zu5gLQ79PB/y8toQv/07Onz3zCDAj/poe1ckBXzek8S/z/098FC PSG4A9OPEx2y1eaCB84Wn/OU/qEfok//s5IfwnQPW5wzs+CCiof6dLrHP3RA IM7mxd9h7NNnuYNR1lzwXc+c+uH6PyS9r8XN6u0opq00t73uFBfQZkMm7aL/ IdYDtwjOrAlsN/n+rMF5LtgcaKaJ5f5DdruKsiKmJ7GPfg6tN725YO3QRKZv 6T9kUxJqmsLPxHaNqHwoCeACPuW05R0t/9CuhGWyHMbC1MoaA3bf5oIi6s0d RfP/0Kmve/h5LdlYnurzkz4RXGBDT5EI4VpBwuPttIuf2Jhq0gXdvPtcoL5h uNdCdAV5Trvnlc/jPCOot4H9iAtAw/j6FoUVlDEobpO9wsaUrwpwKD3ngivW 31eIu1eQkM/BVrkONvZmsmfANY0Lpu4Enug3WkHSBpeNT97EOcc6qzwtkwui S/fdLz+xguLbNDnb/rGwrOrLLwdyucCFZ+erLLcVNCPp98TSmIVt1TC5s6GA Cy5Y6T95fHkFsV9WDA27MbFXaZJuNiVc8DrP+1x4xAqasAi0+W4/hW0WnjB5 XM4FkhJV4reeriDWBxvYUj+ObZy5I8T4juedp5XvGraCBr248ufYA5hMZuVD 7gkuGHa7bZrDuYo8jcJCk0v6MKvnBYW103i+fh6Z0xZdRTyNcV1b+3qwiAcZ PVGL+P4viJvXb15FJi0bviuJtWCLl6Nkxbi4Ib7/mS7HoVWUl0/QvCKbiOpN j71VkOaGjyJhJW8eraIuqzPmGhs+Ic49Rt8nN3GDlavONpfMVUSIu85he6sa 7VbXms/exg0N7VMWm0pW0cfTLSN1bu0odf1/Wru1uQHx7Gt8P7iKft9ffW1j PoT8WcMVRse4YeeHZg8J5TU0GKSlnGQygt4OdIxRbLkhbPTCS4L+GoouLo/6 KzWGhtpr+L+f4YYParwPmRZryHeY3/223iQ6hL0xO3GRG+7L7kj6EbiGfv5d 368fNoWC3z2/tN6fG/aWlRa1R66h2B7+1yopTFSQHhPff40bqq8fiepKWkPq Ea7SZhpsJB/t03s2ghtOmp45NVe5hihZQu++5LDRiWAXwvYH3OBqM2bH27WG cj/tUu3D/dQ9/xNys4+5wfiOm6gccw1ZG3qr6qywUbm7yf4PSdzAMXapTIZA ABJ15lkprmN/T+meDUzH15XY+SOfTICXBzg6S93YSNlSOULvLTdc6fSoMWYQ YI0/ZjOzgYUcD8hkE99zg4SCYvygFAGe//CPMFthose6jObKYm5IJTrtub6J ABmaJT9tF6dQoyrXwt1SbhB3X1+9XoUAXFKkY90lk4i0aVHscA03BJ6xUMQ0 cZ93Idhl0nICaUmOazGauKFijHzuzF4C7P2qGzT5bwS9INbfeNLLDRueTl/P P0YA6oX99WP8vSiwJZaS9YcburKy1vyvEmBOjChPka3GNvnIy9dv5wFv11/H wusIIFO4f3ZG/Ttmc1bUMEadB8L01m5at+E+b2nPixaddizaltfNUocH7qY8 DVP6RYCk4qmc1Ppf2L99U9m9B3jgsPCx7Z2zBDj1PoDlITeAqWr9bE4+wgMM Wc+6d/8I8Ol99REnGMJctjctOFnxQOln3n0x3BxgLag23EwZw5pF87VZjjww 8Ox9vYUkB+y0297w+v04xsv/0i7vHA+YD9X0aMlzgNZwGmey6iSmuxZ/09eL B3I+2lTLbecAncLyMyOP8DodvVy1ep0HtvKuqq3u4QCFpb/pxBssrLf7/ETp bR4wCqF8YJtwgHf5tpIBVTZGb7IXCI3kAbPox4whSw6QuaKtfOQNGzMqN1Mx ieUBwy1pB7vtOcBoV1qEN84/Vwv2mgs94QGFI8qObWc5oMTANQXD+Ufdpmna PpkHRKzzChS8OSD7c+G4E84/zDWbqJx0HqAU7wm/gvu/kYvesomhbCwtdVyR 4y0+7t3b3RLCAadyT+X1c7IxG0PfGrN8HqDfCsnYdo8DFifDBlePsDDhSaJL ShEPyIxpLoY94gDB2cx3nJ5M7FvUPdLcFx7QSlv6OpbMAQY+F6JObZnEdNpf odh6HgiVT/7+Jp8DLtSaX95eNY7NB6j3DrXwQOHIbVHhEg5Isa24U6s7hmWt Lw1U7+KBhTX/zitVHHBC5NWzlZIhbJ1T9/v2ER4I0rjVadnFAaKo6qwR9gNb mhNQkiDwArl4c+lGAhGu3eSN7ZduxfLiE2rOcvPCDfWLi8/JRIhPRT1YVQPm pq3gUkThhTXuygwpBs71j0/EkrI+YJ23IOWkBC+IZceGr8d9mI+WuLzRUB0q oHmLP9vBC28Zleq6pkTIDIxTnvvQjDzfr71n7eYFt/0XT9ZZEqGR4VR30L4D bT4RYY4QL2xv2rx20h73bUi/f++GPvQoKS2qz4QXGsc+fQn2IoKkhruUwpdR 5K/8gyTnxAv+2wOU5h8RYd0Fk4ABi3Gk3OKY4n2OF/wkQvUfpuDjVAyTKJtA o74zqPwiL1w/mdyulUUE311yz2/LMZFVCd9lp2u8kDG05B+OEcHwIVV6A52F hE7Hi38I5oVvilqhGrhfKfCS7lxtZqEqLvkP3OG88LsmhDHSTIS206OhBCc2 uv46x9wqhhe2YL3r43uIoC+WobS/io00DurOpMfzghO//kvjESKcOj92Uusv G7Gna6L+POWF12/zsgjTRKiuipSJWWKj9NhjSgde4PO/UlYt/IvvR+/8JaM6 nKN2D9Y8zuAFk6WCnZc4OSGTYq356hwbifZ4uEzk8MKrlEP5qgKc8Cy8o21P DwvVX/9H0v7ICwIp03kzopwwM8Ztzl7PQiFyYSnhn3nhyp9nyvnSnGCZdUPY TGIKLbil9CrV8oJ3hnQqqOE+I/99p2j7BHojqHz5ahMv/OOaf8ynxwlWX9Z1 CLqNI6e8YvGGdl6ILGgR7DDkhEXPUS1f6RHU+rfV3GOQF6plC7z8TnLCu04a 8YlsD8q/w1Ob+48X0vhF5NpxHxOffd+yPq4c83rp/mGXMhn+bt+wib+ZE/zd rz6YE2jE+hrXxQnuIkO3laZkcw8n+O16LGiR3ood/lvrPaJDhi7Ck+Uno5zg TtiTGeT5E1My3aL60JgMO1vUbu9e4YTpkZWN00H9WILPD6ELZmSI+OeuzM9L goSD/yaO5wxivM9DWfuOk4H4cqqij04CZ123P/TEUWxkZjhzwYkMxgGlRbGb SVBoH6/haDGOWa6Lu1vvTgapVHEJ750kmCaeOH7l1wRWbmBwNs2bDHwHPzha 6JEgwKrS3OwM7uPiUzZZ3iQDkqku22BBAvL++dxoKxYm9NWMa9sdMoSa6HSQ 7UnweZWwkiqC69IEYYh0jwxTC4sdv8+SgJUU0KmRyMamGDmlPXFk8JBerhi5 RIJLvs84bCbYmLWufXJ+IhmE6vYld14nwalTtrPBa2ys2lnwRkQqGRoWOs42 3iVB9YjzUASuYxrRn+0cM8iQkZS7oTqOBM/Uk4Xyr+E6Vuiuq5NLhrS65tKy JBKIPrmxO2kc16vBdVLCBWQo8dU2L8U5XUCLfufkehZ2i1K3NFlChrnkyaay D7gvsarJObqOiU2rB3aWVZDB8OCgdvVXnLv3mIsHX53A6u/8eOjdQgYj+ded nTh339As2ek2Mobp5IX6mHSRYeGwH2V0gASkVfe73bKjWEb3Lgu5fjJ8WY5Q WmSSIDMnxF9fbhAL3R5Ha2GRIbslSk2axAWcDVdOyBxrwaDVLGIHHx/MBU+d iVPhgkq996rOJ79h2SuEc3w0PriX+5tQhHN3j37iwFjHV2y9Qs6BATE+OGBn FN6/nwu0nySYKfc+QUsBgjz3N/KB6O5SF01bLrg+thbkm9SO8jfU3ZwBPhBh CgHlLhcI7RnN5g3vRrIHAk/VGPLBc8ljhkZxXHCj7zKvhmwfivbagpIP8YFh 9aB2aBIXZOTkbt9+cwidrwj9d8SGD9ipbVMCH7nA8d6D+cvnJ5HCOQO/HD8+ eG3DuKA3xAVJb5mmku+nUFzsnOWda3wgEx73K4bNBdcKPmX71TARqSRF7VQI HxRo2uuNLXHBURnjvJevWMhr1IyxO4IP3F097+7h5oaMp597xM1wX0blmBV6 wAdIrKbsKY0bqhTuXEz+ykaHtXKaRh/zwfb9Zyf+SXFDZb35bT9clz6fsc/G kvhAZ+HIqt1mbvicXuimgfs7pUjBqPh0PnCVv7FWtpMbYkJ0rQc/s1HCh8/u Hm/5ILflN1MRcYPNPTP/QWM24u1zNzF8zwfinO9rHhpzQ8dvV1GuJBbyI0tt 3fCJD57lFd0n4Ry6dp+d35w+hSxsAkcbaviA437i1Jg7N6g+ujlEtJtEpSFb Kl828UHfV/+r9jhXjlmoZB4bHEcq2T9eXOvgg56Lics/grhB7W1Kk4nzCBIg apzePoyf62gR1prADb/fubZ98R5CRX6c5iOTfJCWrW8q85IbRDc+C+S0G0Au zMa9z2b5YNCImOmZyw1+8hQLUnY3+vLDdaMggR+ytiv8EqvmBvZy6mbwLUGX shPGmJL8cK2KR/bOAs7jSnnF1fRUJL3RpTNNhh82cBrDJIEHPINHar6OvsTq E3bW2m7mh9DAMhUzCg/sre5peBlaiync/pZZr84PL6Rs7myU44Hi3HXWQbZ9 WI/N6oU3R/hBZrs8fRrnL+sNt8Vkogewu8219k5W/DBjKF161oYHmOK8Jd9S hjANo/gj6+344eZTc4MRFx64yTQe2Wc9hkXvVNkReY4f5pbtsdFrPHD0vNu/ N3/GMd3X/2T3efFDG0mzwP0uD3Tr6m9ydJvEJv6rYaz488PlAweC5uN4YN2O oDHJEiZmwHd6wf02P4jdFoqmvOGB94WSRyUTWdj09e0j8pH8IHCt4ntiAQ+c dqAcc9/Hxp4uLLX3POCH6ty8YeVynOPYTdHMAjZmfK6qKjaBHw7IdNRVNPKA uGKNdscCG1vse1BgmswPUd92BNt18wB1/9GgL8ts7MWxU69Jr/gh4V2F4BLO LxfllbSf17KxI9+UEj695Qe39nvnHs3yQJ3kMrvqNBtb2fP37qX3/EBQj0nQ XOWB5OVKS2Y5C8v4WHFZ6RM/nGysedJL5oXKrovCG2aZmNW2++5Dpfh50zQ9 gkV4ob9WY75qcgojpdrZJtbww6mPfcLbZfB+eGHX8wGTCcw2alGP0oE/H9Xa Hobzy+XPL652kAYxqtMW4tQMP0yTzdXPuPDCxHjlNi2ZWORPj7yTqUCBLvVM m6cVvPDlHWu2aLkQKdw5EXBmOwXMqqPML37nhTxBYbHdDlWodWWj2zp1Ctx9 +FrKqJcXoois8oaGNrRtvMQkXJ8Ch0aCN67O80LVq31kCmkI9WHTgudsKSBi 3kyLkCdDVcashcfqMIpU/7wm60iBd2UeCb4qZHgV94H3b/Mo0soMm+5yo4CY p8HCGbx/urj1MJVWJ1DsQ9lmY38KqFx5IGNoQYZ1zmviZw5PIaCwS4nXKTDY LTCnc4oMPO2qxH4PJmLeLH5XFEIBGz/soTreD6XPzh07IMZGhuct4rY+oMAz h2oL5WAygEuLx/ZYNvK7X0zweEwBgcMw7YD3t8+B+heq+9ko7aOs+7vnFHhg u40Qn0CGKyxbydQ1NmrtCetYTKPAzsh7wQ1pZIhr1C+JYbIRiTijr5NFgele 56u8eL/Ke8p5NjuTjdQUjr+9kUeBisPvJgw+kSFJSrbSTouNTptiEhUFFMgd uPQtqIoMfxZqwg4ksFD0xU0hZIwCHx9mylY0k6E+8LWX/Tcm+vIwcvpgBZ6v c1ZM3p9k8Nw0PND6fQpNF8+fvF9HAdHT/kqHx8nQ/AjRZbIm0Yb+k1Xt3ylw NkCwL34e75++pG0nR8bQVcWtz+x/UsCOP+GFCj8fqHolhvLl9COdL5UmFxcp cP3T9tTru/nAR3nlPt+OX8hteNvH9ysUCC7+E9K5F9ehvWG/Ddu6UAJfnOwS pwCkd2v0qh/mg28gF/zn9Xe0ZHHm7y2qAOy+LjK+4MQH5zaKiQpzPcE+jq+9 jN0iAHfMD/k+wPXe5tPC/gHaIKbC0CQWnBSABZUPzgZsvF/dOGzrtDSEndqd dP6fgwDE72mOrljig4aEkPirZSPYPVueTnAVgCPeZ5QPcPMD3PEyZk2NY8z0 tuyaSwJA0xqusVrPDwGBl0LuGk1i6+t11gleFgDJxraKAVznlj863TC+PIWZ zqbePnoT32eI9i5PNbz+dOMJRvZ4Pep42XZHCkCVhfOl+yb8EL3bITtHgI11 OXRWb4gVgF0XFPUVcJ17/fjj2/hINsYbCmqOCQJQ/MopuOQ0P9zvKLmo+xPn maz056+SBMCaJKJ9/AI/3HlTqbIF5x+X74L8zJcCIHpT03k+AK/Lo0rPtkyz sfjfPr6qbwRg4r8Wrgch/OBPVFWxzGVjFet6+33eCUBHb7+EWgw/mGkdWyPv ZWPzYHCwqFAAej47pXQk8kO7mJcmM42FyTtnFqxiArBaYvf8Kq5Pjt2Htk50 MTGLcLr83koB0Or/Rt2Uzw8bKUbdKoNT2K2cgHuh3wQgQj7ndxPGDz5P7u5/ 5T2B9S0ZOlM7BeCGYPuG7biuKHJFg9K3QezpvSGG7KwAPPF4PsrFTYHYSD4P O4UsTLxwvcc+eUFIct58UBGv717xhYqFhES0ciZ9HU1REL4f7SUveeJ17H6x +77FJzQkqFrdoyoIb60uva67SgET4cPSble/oxxHA5lLSBDOZhrF+MVT4L/i +cMvTAaQIfVcS4o1Pk/gXc7ZWgqU1nwz8XAdQtuK569fcBAES6UjHR0dFOBj pRFNHUaQsPM1JS1XQQj+vRj5ZYgCO17sDkrsHEe/imNCvvsIQk8rMzVhFdeD Q0OH549OonLndTueXhEErnFtzgh+AQhlCD5XSZxCGbS0n65B+PMi7vtuiAvA 2gnVpqQ4nBNcCjQIMYIQVujldXGHAKhOCTVa67ORLV1/qC5eEOxUDtheQAKQ lfjnFX8BGxl8rouOfyYIPzEOxQumAmC/cGTz0AIbbXW11D2TJgg8rondnicE 4Nh5opvfMhsJMX6Nb88ShI7NEh6+zgKgtKz8tLiajeY/uz5cyhMEM6L/8DVv PD/G14T57Nioy3VWv7JQEPznC/Tu3hCAboWmV/99YqEvjCvsmC+CYLzWHfgI v9c8pIgLokNMlF7ClWhbJQgVsv2PX+P317UzBzvfMYUiz94z2tIgCFN21U8+ pwsAQX77s5X4SeQlLLEw3yoIH9/F3GjNF4AylesqI2FjSNdN6VDEgCAcTa+d 5WsUgDm/iGWHW32oTcScULyCx/9DW0ACpyDInPflKLXpQUVferJuk4Tg98f6 +xVUQYgnn37QdKsDJZ1zPnGUXwjEmtOj5tYLQp32ftmNH2vR+a8BeePiQnDs CFH5+G5BeLO/xLyQD8NI55McxdWEoOLSEbrBeUHwbI+qqFmtwSbEttKGtIQg UvuE/u1AQYh49X6j5sZmrKn03efsPUKwKmlgWRcqCMnWIVo7eHuwRPEqUcPD QtAl90XOLkUQ9m3LG3Z9PoKplTOrfdyEINrW7MzLDjyfBjpV0efGMEkPP589 F4UgfdwtY21IEPLveqz9/3tBBEkOWQF/IXCNcm49OSsIgTU2x0dLp7BvHsKX X4QIwagM6buUgBDkv3t8YGMLE8uRfKbgGSEEqdSXqTclhaBRxDKh7y0Li69Q aNV+gLO8+NYT4wpCYPBE/PxDC9x/eebe4EkQAund0TPm6kKAlv4S5MrYmOM6 7W0tSULw0/OH+1d9IRhat/9d2V+cZyrLO5+lC8G+UmKd6hEhkNdRPib+h40p Xzx02+2tEF4vQpQ0WyEgZcl2yZWwMWGpHzt2vRcCgewV5XXnhCCEkWhkasrG liodfnF8EgJv44Zdsfj5zI9cp1qnsrC+i5Ph9aVCELR6Q5p6WwhCtdXTfMuZ WJWUz+7HNUKgVyfCjMLPkRfOVLQ+N4nd97oTo9IhBG/eDm+Pw9f3F94hGik0 gS19yyq404vHvyIyelexELTMzpt/DR/DHBW+/+obFAKd0d2+XVVCQD99fmu+ yDCm1iOxPWZaCOKNHtVv6ReCmZMfY09f6cQmUiyH/5Co0FWqe2yOTIX9jX5O 8W9rUThl9OaJ/6jQOH82bkqHCncPBxxvkm9GmGZAXIgMFTiOHnM220sFZcek /Cvt7WjOmf91rjwVTNUMAj4eoEKu/Ofk3Jpf6ORX5SayIhVU7sg7hR6jgsLu /rachFGk5Ov/X5EG/vnzixa7PKnA52YTFqI2jk6l8u0Y0cLH59h4YKhQJEHO z0yfQHFNifvoelQwXh0/LnKVCmMbd7Qb0JhoZetXdzcDKtSmDjj+DaNCKr/7 CieJhVSPm994aIivq9d/8Hw0FX50jr3Oq2Yhp5DhB6XG+P5s+/0HHlLhnHc6 pxyuA4/z/NJZB/H5iYPDx59SoWL09juPMjaq/0UuljSjwqriSGxTKhWe8uvu XVlkIw6BxIb9FlT41jURciCDCr1Lk/yXcf1R19o+4GVFhXeCMwVlOfh8NmO5 g/Vs5ObyZeGZNRXeV/3Zhj5SIcx7VumqBxs9iz1KrrOlQhMXcbj4MxV8Hdps fvSxUPPXIanFU1Qg1VB+apZTQc2eptgky0I8bF8VOUcqWNAkJAprqSC/7euW c+unkMeBJ1aX3aigq7rLsrgDX9+l5PTmzgmU6rvtXPp5/Py8hsf0flLBaDzm Tu65cdSRil1rweMe6XTicekQFWa2acxv+m8EodXBNEU/Khi8vTXcMEOFV64r vbk8PUjondJ8dxAe9yujcb/5adCeXi2fdK0D7e0r4eENpYLZVVJ6EJ0Gow1b Jq5/b0b+Ambr1O5SoZ0ot0SToME/TT7ZicOlqM/FRz8Cz8fmp47OOzbRIEgz tq9zWwWWI1USrYPHnSi0dOwW4PP7H3QYThnBjt4+vO3pBypEjJ5/ZOdDg5gK jUTnA2NY2onpA4WFVIgyop79eZkGKMLeQ+TbOPZHKca57RMV/k1s9bC/RYMD oceTjG2nsOctzc8FyqggPl+9zukeDXp6o1N5XJnY3EvvT1sqqVBlbVo6HkeD huiHG5wMWZhhoHDnvhoq/CIaPfNIpIG07YYkiSUWlnDw/YLDNyo4TBVn/06h gYQ5JXr9dTbGlD5Gv9ZIhcNir35fe02DgFLlkqw2Ngbzv7cnNFMhPYjizZtD g6P6b64ZrrCxB1XxJh/aqOCmOi7/4AMNmjkPuLzDfdNowm7X5h9UeCStR9nw mQbKOdFpy7jOaF/oDGZ1U2GHGf+WrDIaTH+yY3meYGP39gQm8/2igkbZkcta tTSoDG3ifl3BwgaE15VsGqDi/CrIWduEx/OgXSBFjIndKbZZtBujwpfk2byp XhqUtJYu5q1OYt1RK4zLk1S4ICHRfX2IBkZe0X2Cnycw5dPPVOJZVAht/rhb eJIG/ocivtytGMXaefvONs5TYYnXLhb+0KB32yU9umEfJnfsTA/ioMGv2wfr 0+l0iN9a2K3ak4dKps9+lZakQWZlwb4cQzp8/Ltxb6dIGaKX8/3UWU8DHssz FccO0eH7XR8l7+RvyCk+c+m4NA1q5W8HrlrQofa0QDz1YQfi12PujMHvzYM7 aiFmp+nw88qqgvamIXQ83PMlx04abHRQk+K+SoetQabxokvDKNOOVrZ+Fw1a l5IMPwTRIfjjf9Whb0bRmmreL01NGrDaQl653KXDe2PqmOXrCfTyx5y4F6KB 45ECvoZ4OnBmROmbMifRUmasepQ+DTA2FyXoGR26ZhbzaLxMdPC6+tGMfTQI aarT10yjQ+KbwJzyYhaa2+gXPmBCg0PHvhx5nUcHsycoQfko7qf+ir1aPUQD 82WWwplCOlQmyPG4FrFRwreCcsmjNCjrj1P77wsdFjJf6LXOsRHz+Yn+XZY0 eEZ+79tVSYeN3VFRG1bZaI/30srR4zQY9jJlxdfT4XP8WJVWJxvF7X8i6XGS Bg/X2zw51kqHS61WljYhbDQmoaMRbkeDXPLQVdFuOrBHf06sEdlIm9ljnu5A g10aQ3Ed/XRoinZpHD7KQve+XPUsc6TBppc2g4/H6HBVa8tXmi8TDTz4L/KX Cw1uHjvobMumw6HGCN+a81NI3QV7vexGg/1GH/6T/U2HDyXNuqr946hHgGNw 50UaMKanlbM5GaBYZMopSxtEW08GW764it+HI+TWjv8Y0EMI/7Z3sA8dv/iB TrpJAxV/r7+7NzHA4K6v92aVXhQaOtZ4JpgGCgZy4U+2MWA4r2wl37sFDb8z NZYLp4FTzck5Rx0G5NiWpAdticOeU0RQyiP8PoRt7uC1ZkBJblnSiEUR1ihr +I8Dr2eV1gY7HwcGJM07sbseVWEruwMKHZ7TIKPs09FBVwaMFiez/ebbMGun 3p0yL2nAvudxvcyPAbQqm55WqSFMpCRtc9I7PF+9KlOxcQx4fSWuJ1lsBNvb 2jG8htezmalwO+UpA/jkan2Ep0Yx7wlyqn0RPm6PlG6/wOexvH3/qsgk1iR6 Yf2GrzRI9nJff/UdA75XfJv47TiFrSkldV0rp8GM14WCpSIGyDYsUTYGMbFt e5vjf1bheRQrwAJKGeDqKHlCXZ6NhXvsoj9roEHoIVnGle8MeLhEDtj7go0V hbg2rnynQUKfvv3aDwYUbGzROMNkY2NPEiJs22iwXixTLLiPARkbdFNFcJ8l lvftwOcfNKDOWuvwjTEguseYqNPJxvZVr3Kv76GBz8Wj9TFsBvAsRfOJX2Fj 3j9Vyq/8wnU2LqZWcpEBM42yF0zGWFjq/OmbPQM0uGcrrpa2yoA7b3tK2/9j Yc18cXo6IzQwrB0hq3ILQ0TCbLmYDBMjyFQtPxmnwYXufyYlAsJQ2Fa9WDk9 iSlr/C1YnqIBKcZ6yVREGFig9nr+3gRmd1DR9+Q0DQQn14R7pYRBbatKypv9 o1hxwL1pyUUaeETI3ONQEobOyBVzp/ZezLfZavgxiQ4BwV8enjQWhkY9/xzV zZVoMmisIX4DHV4fOD9nHioMy069p3ZoNSHJBMmIRVk6HNi/z/lvlDCM9+QL SRu0IaMc0wNWm+hgPeq4L+mhMNwL77xe1PcTvezJKRPdRocG0ctGs2nCMJTr WuWL68wp9YCCOC06LG/lPJ1eLgwy//nEm9uNo3smmT4LunSQNhHXOP5NGJx1 Glc3Dk6gEofeHZZ7cH0U8vHnaxWGGb34GE87JloXteeNsBEd1G9zgfegMIS0 sX88PsJCxi+83S6Z0GHdbs3KLZPCkCYl4iYryEb+RWkKrbieekXlF/TPCoP9 Oiftr3FslN7UMbTzKB20wvzEniwJw9OgpO67I2zUPkJOeWBJB5/NtwYsiSLw 6XVO2/IaG1VYhCUWHqfD3g3HUyLJIiD4vKqCMs5G70t543+dpIPjHrvnlVQR aJA4ZtWXzEZpKndiuOzp0B4V20kQF4GfKFN2YCuuS894IhRxvX7Es3xEZ4MI uCkf5KsMZqEQSuhtMyc6ZGXGcAVsEgFtNbJiaA4T+QRy3/RzpYPQ5eOLH7aJ wH8sY/uxW5PI8hiXb9kFvB888b2/S0cEYPOSW4vSBNpXHuw5fpEOMsx6bf+9 IjDzFktTyh5D6jtI54R86FBz1lK22FgE+KOt+p32DyNhQc5TJy/TgTw8/9Lg hAj0nRuQVRLtQi0VBOO5UDqYD/pEOfuKQMacw80nIW2obOcNA4lwOqjeOyST d1UECA+6u262NqF3yWt6KIoO9s5WM6vBIuBzv+zhYP4n9ODq6s7wWDq8efjX KPGBCAj0bDWkN1Vj5ur/1ssl04G+dr19OEcEPj5Yt31Y5Tumn3pZ/MALPP5c XUe1C0Tg6QWPfeW/2rAdtGW6Rzodtmg4Uu5jIvBhepeMe8tPjM78y1P8Bu9n UmSNvQ14Xrbm/ju+bRRrfrE4c7SIDlzsWLf8SRG4lhGtda9+DCul+035f8Z1 /7BnE2NOBIzhUNZ+owks78bvkWd4v9nac9n70pIIOK+zUQwqn8Lu2yx0T+D9 5oGv3EVNsig8/D7vsr+Uid2qvdROraXD12Cs7ilVFHqn/g1RHrAwr93zTbvw PoRKws9wiuPj+stcT9TZ2OmX3nU2TXQQlLuz222DKAgf/Crw//f0mgnPVdxq ocO2d/nGzZtEoTR5LObaFM5Lt7y+vGrH++gFWoL2dlGo2njtFobrksr0TFFD Jx3sLJ9teqkuCnM2puVJA2xM2u7i+/keOni44GqgKwo/ErptDsWxMeq36WzJ Pjq0vDBavGYgCjr3hpV1xdkYQcszAwbpcEfAWZtpIgq/q5MObXVnYdPp7BfO I3SISH73ycZcFKTPSwdYhk9hTUGsx3lTdAgz+eWLTovCbvojF7cTk9iXmfOx P/D+d8Phc3beWVHwMDkopbA6juXYM6NWZ+lQnVK3UeGiKIQbLkrxtI5g97Sn goz/4nqS7l/DuCEKGRFnGXtmerHDc+PnB7gYIFYgzF5+KgrtrV9Mc45/QQ2n h/fQNzCg+4/FO54uUego2avus7UO9ZHS/8TJMuCVwrmZCwOicDTf9GLoUDOa e+maLYH3y31/S4s6JkTBQtOPnSzYi8QnJ6Vk/t8vgzXYb5ZFwZ0pp7hxsg8p Rr5peaHCgCk9C+t1JDHgEuSwWqc8iPSUPe5uVmMA9iTvyF2KGEgzNgsm7R9F jt6zi8raDGjWVfvlvl4MDj0ODwmgjyM/kfy37/TwfhZk5de3UQy4f3Mflcie QGEffZw09Bkgde5TguV2MTgozPN1+BATZS//adY7wIDnciZBBkgM9tXXcsgc ZKHSp0VhpaYMEJ2/ZFRiKAbr62PlDtDZqBVdgf1HGHDcpe+R5hExaFfyqJ1I ZKPRft3FGnMGuF2NvPThuBg8vr/STphio6WgtTcHrRhguutKt5qDGOyUsDz6 G+clgU1fHb/jHLAck1WffxafX+v+7fQ2NpKuvrXO0o4BvtH/mezyEgPV3VL6 pz3ZaIebQfMPnA++qDabFwaKQeYJsX3DjSy0j8IdZuPEgC6fqlHdIDHIW5Ho sltgouNvq1Afzg2YzSp3ebgYRJjUJLoNTCG3I2G/z7gzwGvEN9ckVgzCwkWK P6ybQNGxFMdz3ni+BpRe2aeJQdGeekz1/BhK2dUgyfZlwBkLt/nJN2LQR552 y4geQe9/3PvuFcgAs7PjdQEfxICp85o2eXIAdUkxUOBNBty/nCWVUCUGXn3D Qk3sJrQxTUIy7B4Dvu7Zv485Lgbic7nVbxWr0G7D7ibKA3ye2ujJkFkxsNh3 wU71UQEyGU8MjX7IgDcLUuull8XA/s+Xpy2G7zDPbdIL8TjHfFdbkjlBEYfk KfpULWcX9un9pqaXmXh8LKrzereLQ8fNR8ryrJ9Yo9XY7a3Z+Pjchne3NMSh kuB8e31jP9b/97Xu2zwGRKoX6m0BcYj4/EjIRXQE49Hblvm+kAExyTmLgWbi YD1k/eRk/BRmVrnzdnkVA9C6d9Mql8ThwhEx+8KPTMzRdUHHqA7fZ5OYycAV cZD7wLiwPomF+fF9nKtrwO/z5hKVuBBxMK9/Jdh8iI2FZflnHG5mwG+5l8kH osQh7FTh9qhSNpZ4SMuhpY0BDV8bn649FAfF67cb/ZbYWPb0sphVJwP8iNob Pz4Xh/Y4k6SNv9nY1/ufG7p6GDAxPKrh+UocNpKelj9/z8Za1a6H2OH8tM29 vW1rrjhsCGNU2GviPq4ddAYGGQBx3GsjheKw29Uh4/AtFrbkT5xzGmWAtIP/ uxel4lB46YZBdQwTo6wrfz0+wYD6RsW5M3XikHP084cm/klsh72h2MwMnt84 K+HRHnFQkS43krk8ju3jIDdcWsC5bapxIWNYHEaoqULeRaPY8dTa4D9/GBA1 EnbakyUOn7krtjLqhzG3fRHaV/4xYE9QiLXGojhgeQ1jKR8GsaujB2fX1hhQ Xlrau7YmDv8D/1qnng== "]]}}, AutomaticImageSize->True, Axes->True, ImageSize->{265.83398417952145`, 414.1076149916488}, PlotRange->{{-0.9999999951900632, 0.9999998259427894}, {-4.9999997959183675`, 4.9999997959183675`}, {0., 6.249999489795929}}, PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}, ViewPoint->{1.3871356527147638`, -2.739502097064099, 1.421612795788287}, ViewVertical->{1.2873820019175726`, -0.10099907933668156`, 1.5375868228804273`}]], "Output", CellChangeTimes->{3.461025192654201*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ParametricPlot3D", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "^", "2"}], ",", RowBox[{"t", "^", "2"}], ",", "t"}], "}"}], ",", RowBox[{"{", RowBox[{"t", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.461025399835198*^9, 3.4610255181786337`*^9}}], Cell[BoxData[ Graphics3DBox[{{}, {}, {Hue[0.67, 0.6, 0.6], Line3DBox[CompressedData[" 1:eJxd12k41fkbBnAxSlScBpMs5YQ4VMiSGudpMZKyppDdTCkMkn2JdLKF7FSK LEXFsRaSb7ZoUGTLmmyDOueXUWNJGW++P//r/+K+Pi/u63nzvLsl7V2Nz3Jy cHAkroRrJU6XFTqXlwnA7gbh6RWRyRP9vtmvBGBdF3aELywSyLPIzWPqIwHY whIlmZUe2c+U/NHbQwBWWVbPfuIjgaZT1FVbmARg1SmMvpYeAmUG7U3+bkMA 9uDozF83mQSqqvhueqOGDVjjsNZHe20IdOddf59LBAuw3m8YfzpUs5G5q4PY mcVpwHZ28k3X2LGQADVUy7doErDiL1wF1cU+oaDx8eA90ROALXOq5+YfnEZJ 2r0p10+PAdY2Sulzb8gUiqVZHZewHQHsfLx/OIJJlLHBMMLBchiwWZuGRFI/ TKBFbeZxlx8DgE3TVXLviBhHLxiv1NXKewEb4mznI3dsDClfibTh/qMbsP5c D73dWSPInN/tYVVgB2Dtgt9Ided+QK68xfHLPW2ATXo+nprmOIwEA7lkZe1a AFv5XnbDY+oQUlEsj9XsbgTsDoGDh03u9iP+glN+NMs6wBbTwh1HRt8hgfyl sJauasC+byjarqbWjR50tlrv0i0H7LhCkjJ60oHEAzx0QzYXA5ZyOU9t95p2 5PUgTiZD6SFgFdQIhZzZFsTLJR9vrH4PsFe1WG0VPo2IEvc99ZFHImCFTApi zX+pRUGzD2wJi2uALf63gb9JqhK91dK/sE7oGmBjHmbW0hcqkJFL9GTSawZg nayDPMtaK9Bfx7p1hY8wACv1cl9/plcFYlLj72YrXQVsctKj+4FN5eioZXHI nNQVwPqpxGnudX6KTAbl/D81+QH2sLul092SUmQf+Vi50swPsBIyGhJC4aXo 5d+2PR5TvoD91ivUft2yFIWWWE8WbvQFbOmhN2q+3KXoY0yBrJadN2BlKIc5 TUxLkMGpdGqPigdgeQt33lz/rQhxHoqcsxL9E7A5/ePRU4wCNJ3zvHnrFWfA 9gUIp9/ZW4BULeSLPSadALtJ4mih0Ug+mntSVrb8zBGwXra5bysgHynuDU1x 9zoPWO1xx18iFx8hd7rwy+Z9fwB2kk1k0Nzy0JmD43dSJswBS+NcLHGyyEb7 dwx3nhIxB6x1Fq1hG282Gr1voKhvYAbYeC2L7o7yLBQTG2XCqj8N2MXQqvkD wllInxVoPN59ErDNfEGaG9rvobepgTo+8nqAfUfjiTGPvot0GWMBgksagLUy Eivt/z0R5W7kz+F03gfYT7NfNTzrE5B0dXu/2aQaYAOS36BN0gnIN3Gbp+Za FcCm9Yc0H5qIQz8UKvNf5+8CbGnz2waD9hiUUhT3t7yJPGA7BULbQ+Kj0QXG Tbr5z3KAnT2lMVh2MgrVCO7XkhqQAqzycPoX0e4I5PAi0GJutyhgmV+cd0z2 MZBOvlJmCc8WwL7W2L5HNO0quqemvUNAUAiw7Msd+/WtQtBZTWreySB+wJpt 9sg+j4JQ/2LM+teIF7ApaX3PXh8KRPSZqqHw39cCtlvmUIdKvR+KoVS8Dsr7 TseePLCJc80rT/T+ZJqqj9YcHRvf4CHicPwSWsvDGTqTM0PHthn0K7a2uqHN lp1BPben6FiJ0qux5zKcUdP1vJetPh/o2NtNhkg5xwHZ0tfVXG/oomO3DIqz f+TZoz3mkarL5xrpWPnRLo1kKwvUHL7XcYBVTMfKbHBL2e1ghI5NNPPpFFyn Y4M7ZTtF6zTRXHKWxoaL5nSsAv+gI/cuKfjJ/+vn2/5ZdGz3TEi6wLwOaPCq mU2svAn72WDnP67up4Eqvtbk6oU2OtY/QfsvJxVb2BrEUx67cYCO/XHZ93b6 nrOw34T3Q9vZcTo22PGxcwfNEcwSNxdfOvuFjq3bHhF2R8AdNL6IFfmdX6Rj GclUN/UYD/g20nlizU0OUu0NVWbtfN4QYJOToBvFQ9o0x5bjXhcALVdoejNR wqQODrRzT36EgM/3mfelt0RIdajeZ65qMiBFaGv+lj4xUtnBOn3DgGuQvlHb f/hfSdJpYyv16YUw4K3+RtVVoZE602N5JL5GwdJYpSflkTppBa9/V61nAtgr htRymmqQZuwS6mBSE+HGjP5CNOUAaaghsy3tTSLodc1LuRfTSU2SR5u95JJh O+VoZbnREdLPkidqaYOpwHXBZlH63glSGQ1xZrzWXThK1ZcYsDxD+qrERqso IhsKHhr941LqQqo6skbiihkT/Dn7bPVOupLurjSdUcxjQsLQnrLaWVdSmfj8 +uEFJnRRMtdVpLmR8t17rJqhVwjP3MLqZz5eJF0yNBtYZhdCVVLyq/BCD9LB QqYcUiqG1ICXHHpv/UjT3azrNZ+WwqD1E8ovVQzSHZ+fLeyvrYBmWmhJKk8S 6bGs3lZ9s1qQ4b7YcyvuHulvepu5vpY1ghgfIzG/Po/0hk1PsOLTFgg/EUVZ VismbdQX32i4uR0++dB5Y7jLSVmSQpff3uqAhfiwrbTL1aSeHvJ2N4S7Yb2u vX+wUh1pz4CA8bmmd1BvU/ttzbFGUlvfX/9ed6IfJENYj9/QWkjr5NUj67iH YMJaNzshvo1UZn3VZLbOMLR0UKNvqHaQilc5/cYd/gEWv2ZOrNXtJuVY5Mxz HxmBxzuVU15a95LOGT23bpAeA5e0Sy1SxABpv4qNqDRjHPZZcSvcNBkmdTMV oFAHJiAzYV9XhvwIqUjimNlP4pOgtBw/3KA9RlpgkfFg1mcKovOjOJrNJkhN NYN0mp5Pg6HD9t3nfCdJi6z/pO5f+gh11+bntcamSed5j3BVnGKBA59+//qD qxq3H1ATT2XD03wP92ZdFinvAb6aqjtsUGWFc91YucPWZPcdt8xiQ+MRv5/F nFikij6+drcL2KBsEDytl8wi3bTtaZRIAxtk3ot4CrBYpK+clUeF/mFD3GjI kkDaqgd55GI3nSDgX3mrdsoDNun8xfmtBUYERFKkMwSL2aTM/sYcPVMCjpYG ym9vYpNKMM89i7IngMfMeEH/C5t06VT2BK8vAblbIi7y6a36NGub5rr7BAir aI7Lm63qspFovP9opf80ZKz/+6oy3tXG2kUEhKl+FL3pu2qirtX5a1UEXJLe eVb7/qruM7cSuDoIuEDTyfUqWpVm4SiR9Y6A6JbT47lVq36o18g7PESA4+Sv ej93rGqY+q76yhQBVHtBn+NDq/Jw5h6TJAhY79ubdm1qVeTk3fniCwGSu6Ke 1fyPXl3aNraLq/vt/3Yc/AdMa9qp "]]}}, AutomaticImageSize->True, Axes->True, ImageSize->{518.6371444023295, 300.15570562066796`}, PlotRange->{{0., 0.9999999183673486}, {0., 0.9999999183673486}, {-0.9999999591836735, 0.9999999591836735}}, PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}, ViewPoint->{-2.1469134264351926`, 0.35042315233074445`, 2.591904001637191}, ViewVertical->{-0.48575005334519045`, 1.7831670416092094`, 0.38221802227961976`}]], "Output", CellChangeTimes->{{3.46102540835588*^9, 3.461025518436364*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ParametricPlot3D", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", " ", RowBox[{"Sin", "[", RowBox[{"3", "t"}], "]"}]}], ",", RowBox[{"t", " ", RowBox[{"Cos", "[", RowBox[{"3", "t"}], "]"}]}], ",", "t"}], "}"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "25"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.461025236682335*^9, 3.4610252582484207`*^9}, { 3.46102531407155*^9, 3.4610253732167473`*^9}}], Cell[BoxData[ Graphics3DBox[{{}, {}, {Hue[0.67, 0.6, 0.6], Line3DBox[CompressedData[" 1:eJwkV3c819/3f9t7b2/j/X5TEZX2QPcUCdHSUGkYIZSRhE/DKDJSKElZJbNk lGS9rj0Skk323nuP7/v3+P11Hufc1+vc5z3j3uehmtievclIIpECWEkkJros ZdR9OeVirS7isvYxQib6MO3F/8uV86VPDshsQWUtpd565o/RD3ZF2duWj9Ft LevRo1LHkWZVcFns9Rco3zk5RsHyBfJ5oLw3Y/USWlxTUkh//AYF7+s14gl4 g7L/zUlWiVigU4iHkVkrEpWo2FuwWkai4kObiy6wOCCx+7aNlY8/ogciG5kb UR9Rtb8lZ/aoC2KcKb/56VwcCgk6dnj1eRzq37v08vuqF/rv698D+zqTUZl/ rfacxVekXs2EP3A/R2fOceMBnVQ0+YR7wDkxFVWmxsVX9geill+5799LpaOH hV8VF6LS0abU6kL/L2+RRq7nnZSEDBQC88kzz3+gvJQ8kZNvY9Gmde44b/1c VH7I8+eoBYEazE686rdNQC9zF3cHN+ehJDWhR3u/YvTv0ffnFbc/o98tPjWn lTGaajWLdEzMRyquu9T476SiilijLo+QfPRIkr17OqoQJZ5zEPnyLROlXRk3 VuYtQm/enLSYeF6KbD7HDrikZCHNlMZPwyFFqH1f1LPtPmWIvI9riTcnB50g Z1e8Fi1G8g1TCbeflCOPQw/FaG4YCf7lW/ZfKkYpwq9HR1x/IZcWyni7SDHS z8xpd9AqRRWBrfaDFtVIbb160VK3BI3ULcysPSpFz0JDyoN31qDUXRxBp5+U oroc6trNz6VI2RJd3v21BtlHzv1WLSxDD7q2b9ytKkXV+weHa5X/oNjhoPkq 1gpk9UHq40xvKXJgC/zPIfEP6rqVGvH55C/Ew/5YI32iFIk0HuQWVKhFhrcN vt8Lq0RJ8z5LnuOlKDO2+33qp1oUI2X1tnzoN8o+FJxwsKsUXXHy23ZG7i9q 1B3dpqVWjW4OcPIllZai9WN78iaj/iL4RV0o1K5BR0MHSlOjS1G0yL+TL2Xq 0By3F8Pr2RrECk+ub7UtRZp9Tzt2vK9DjB8eNyyfrEXdf8MOTPeUIL8njSTb N/VIIl6xZctaLWo/GPKcw68EbT/nFsgr0oC+vVp48T3pL+oKZl+mbSpBtXKK tOSgBmRxf+KIDEc98l/NU+HdVYzEC101xp43InP5rrbnP+pRgNerHhxThLKD 5Or8uZrQrrzdj7xvNqDmrD6//ZxF6JpJpZmyTxPy6BUiDhONKFC3I/H8lwIU wyDjZf2kGe0/e8Mqx7QFjZ3mORIWn4d2Qn7ZkGsrkvIy26iGDmSpeXLgTV48 0s1lO9lv0YHMdgoG9zR3oBP3WRO7az6gnRsmc6KTHUhAf3forv2d6KbNabF1 g7fIn3K9Sk6tE+0NX6wwKOpE7qME89zwUcLRJOveObpeeyJX+UluF/p5TT99 68/PhGa/XdH3ui6UGzT1c/dsFzr3Qyviu2IaccBbRrxKvBvJtn95HralG3EV S9j18WYQygqV1v1G3eh+rw+n+JNupF1Xphwok0cIWW0REuvrRiZ8mzZy+HvQ 0HG1b28iSonusX/GznM9yD/60X2erT3I0o/haEBLOdEQ4Pf95cFeFJhvRlVF PSjydcVuLdlKomLHQY6Eh71IjzVDcfvpHlQWrGKkZVNF5NX0G+Xn96KzY3Jv q4160DNVJUmfGzVEmv2rlGaWPvQ2W/gKx80eNJtxevlVwB8iVvAo87ROH+rZ c0mzxLIH3Z+Tu8iCa4mw9ImLnAF96FzIN4lpix70QLF515vZv0TAufAkWm0f 4tHZG+Ji0oNosnWirMr1hPuc7sYh0X7E+8vIXtewB60/+UDlNm8gHEMWzxpc 7kenz4vcNNCh4998UcTkQyNhuT821jqiH2mkan7+LdWDki5y6bZQWojTLgwn 328eQNvNTdKoG90oNFuo1MKkldCU/Br9zWoA2az/hbtt3ciFqlFE/tRGHMg2 mqtMHkBtuN6507sbmceyROQrdxCUtR/v1/YNoq1GR3IGzncj+9o3Mn4HOgnh iJuTIv8NorL1y0WFMt1o7Fyie1JLJ8GOhDS3E4NIwO31/vaoLlTnty1WWaab mHC7M3Lt+BC647kxLGXeifp+/TeWEt5L5DFvOoQvDiMBv+/Xj3J2ouhXyIpP tY9I+1T7vOndMBq0OyGgc7YDOTeuEeKNfUSsllvXZMcwsvoxdel88j+k0aaZ 5sE5QAQ8a31GtRxBWguva78ONaOEryMx/JeHiKvcQY0ezqPIVO5DwEB7E4rd LzwmNzhEnP6ClN7ljCJLuYSTnBWN6DhT88cXd4cJzZNjj9JJY2hhW1S0q0c9 UvswtK3cfYRQfqm9uffZGDrZ51no+rgG5avUHzlyf4xYFdpwPPZ2HPkcF1EI 3J+O9uoZX/9xZpL4zbOPg/nqJGJ9XLt73CkRKTqvWj66P0nUnhAMrXowiS4F xY399+Y9ko/zM+V7N0k0+Yxvfvt+Ei0OpFEHDr4mbp0qdzJsnSR6WeI0t7dN onTXq50MF+MIS6f6tbmFSWJYw/Pv4sokOhmqahUsk0aoLaUbKghOEZPu100K yVOoaDwqlaJBED8so8mSaIpYXRNzM7wyhZ5viYq5uFRA9Jw6lZ5/ZopgVJvl lftvCkmVFXkfuFxCpFIrPauMpwh215rwsbAptEWk6FVKYTnhvfgwdK/tFMGb +Vk5M2sKKUQ7Pz+09zcxNrbbdNRlihCaf5bt0TKFEqzDVbdcrCFWRWrzBt2n CPE9N3X1l6dQ+5naRhWxWiIrcGyK4j1FyDgcaRaTnEZCp+bd7rb8JdZUDFP9 fKYI+RRpy+6D08giy+paXFQ9MSXzjkah27eOL81/vjSNjkq9MfO81Ug0it5o r386RagoNzy97zKN+NntbuTuaSZuRJdNxzyeIvZZpQkffTuNUtqPMnEythJZ /9L6njpNEWrxAR+5f04j7eiicak/bcRxo5EMe6sp4mi/1a7Gpmk0NW6cHx/d TvQGn+g2vjJFaMsfz49enEbPpC0Cvx7sJLIeFhmf1pkiTprInbYRn0EDpfIN XtzdxHn2kRJBqSniUnvrbQbDGdSRpmq6a76bOETaqfCPNEVck8pc/XV/BrVI 7t1f29FDHMzRaArqniTMLr/yC3kzg/KEIl/rpPURvSsq7WnvJwm7Br0EpcYZ ZDnzOMnj1BBxszDzGU/jBPGsKrf3/IVZdGy8P+zwnmHiSqDZrdo7E0QAd9hd itMsuvX1bHK42Aixc8Na7jxpgnil68Q48noWySy8l3jbPEqcLH01+p5/nIgs 2U5xq59FFUunRPppk4RnybXz6f0jREZe5JXEc3Po7gw5NktvhtircrYjxa6f 6Et2r10/O49uvChRkE6cIbYdrwvKiesjhkevGpc7zCMpm58l/7HMEuOz4kPb m3uJya2HJoOD5tEWv9ivrd9niYd1hxfeKvUQq7HTPIq186gywMtrfnmO4Pq7 P1SI1kEIR5rqGJxZQCOmSkGzLIvEtYC5oIjG38TRF8dw3KlFFBbm0sV9cJGo EdKNPxRcTrjpfkuovbOIHswnfZS4tUhUipiZyUMxkcciF7z2fBGJfTJXayAW iQMJhic2d2YShx6QzA0qF1Fc3eOJW/2LBBPHHPNAzVfCeb/tqUcjiyj83eu6 nxxLxK+V9kvPrr8jMqb/HUjgXEL6Ng8DLmstEdtWFctlZOLQ7lvZXBvaS+ho x1pS0PUl4pnPmYdL3d+Qg/zWOUXLJfQp9krQ+XtLhP/J+qgG3TyU0hHafs57 CfG7svKGei8RxcxHopK7C9F4GFvZ49gltI7CzU+FLBEPYp7LR8aXIeULTqmJ xUtoB/99Y/voJWJ28lF8kNNvZCXQF1bfu4S6qiU1Z+OXiAsH/+0c3/QHxVca PCExL6PVsZiGqs9LROkNHZ/+4L+o37vgtpLcMmoolTRfpNtXiky8m5kbkLzG zosXji6jl0eSSiwTlggtket7bjs3IZP1SHA3XkZMlLbz4h+WiP6kz25a4y0o 6ifv1s9uy+jdt4+rG3ScB7iFznKY/0Ptjg+FGiOXkf+dOzslni0RJ5T4Aw07 OpCUyugqA7GMogb4lq/S4zCme4A8otyFLo9c7lduX0ZxLJFjZdeWiGH1l58D rejvUmx59cW1ZeTrURy0vmmJCGUN3H6hvxeJSMd9+KK6gjQKrA3zmZaIT3Xk I0Ly/ehck4h/0+UVFK2k7hj2b5EwlgwzczIeQEHBT+4xua6g3tdXTLyeLhIF E0LRt1qGEC+nifalzBUUfPG95ObYBeJBnRYRSIwj1gWpcea9q4gtZbuls9kC MTrj5Mo3N4E00/wad5xbRYmVjhbtMguE14PXGWdeTSKP28v48t1VtPRsE8Ok 9zzx4IFYY3TRFFrvaQxOSV1F5v3kPyFKc8T+AwbDd0Rm0UJN0EGj7Wsow7zb 7m7eFEGzDRspN15Eg4nsT9O3rKP0wWPPn8MUYXDSbvhe1yLabH7/TrvWOjLc dlhpBzFJhCZvr4i8toTMqP0XOczXEXM3ar1vNkGoRu8W4TuzjDrfFG69HrOO xMednrB0DxMWCwuJjUKrqPnJoxpO6gYa3jLm3ZXXSVTOec9Pra2jmzuWeXby kKCMyXPshk87cSak+uOdMxtIr9X7k7gMCVZK3vGk+bQSjmF7L5hHbaA93iLq pB0keH/NJk7Zqp4Q3XHkyD5xEjB3qNhUnyYB6PzernailvDVuFEUd4AEo755 TD+MSTD9/Uvv62NVhFmF/ZWkCyT4u0/vXYQDCTIj/6mH38knHJS+HD7iR4IP ARYVt1+RYHOg8rmFuu+E7XmJTBxNAt9Dc8bnP5Hgx4u0Fpar0YRWwtuYz99J YN/vsaSWQYKqwawfBZOpSJdJ/2l8PR3H4QgF7iYSSL//fdz0JoHSCkIa47tI oDCshGcGSbA7q2rn8H06z/4JV+eHScAf8vNi6xIJije2rs5q/Ua+pEvnfadI sHjk+EQBJwMc2ampZMRXi3jc99hemyNBx1idVyKZAS62ObzgelyPrjMeqbSZ J0HJWxOZIGUGsFpndVqcakKNmUUMKbMkSD42+d1FnQHyx8xkAi3akPicr6Tc JAlCph7qG59kgGsekwZH6X2y9fnD0Hw6vkfhXH3a1xlAvfFAoepnep9EbHXy bieBuc7bByp2DBD12MZe/1YPWtbZp2D/hwT6c5uFxd0Z4Ox5kl9cTz9yfuyp FZNMAin9oxoDHxjAtoBy52LUINLLvsI5FErP11J1S1U6AyTcjbPVNxpGstUC 57TdSDASc9Uho4gBsren7muoGUOC4XnRZ7VIkLXqHP20nwHCbEO3DZ+ZRh5O Ted2XN9Alz5/3ZDbyghZ7wM6xRVnENfWtONXWTYQGKq/4VJlhGG1Ke209RlE Laxw+PVpHSkw/9o+c4IRdr3aeutZzBxK3UaNc69fQ4tX+q8W3GaEHC2L5AcN i+hsP68FTK2gEC7pnBupjEC+NvlwKHUdKda9mi6VX0B/rXydww8wAafyytXU qxtIIC28VthxHmWJivM/1WGC12KPFAoZ6XU0d3n4Ud4c+lDwKc7mMhMwOz/6 dzOGHt+UaEeWY7PIQTK/QfUBE0xnwADbbwZw3hB560/nSfwVC3taCCaAXF/f wU9MILEUfVmctxfpK96cEj3ODBV52ixv/zDBmb2v51d0utGy373sfxeYwS19 qCp3mQku6i5Oert1ovjxp09jzJnBI7JcW/0YM0yv/+Xmym1GzN9iJXZ5MQOe Edd/Sl+f9Tuj1MndgNJEf/QsvmaGnP9oelJPmeHcOd7MIYNadN2l9AvxiRna zzzMEclihncPmoIUgotR1uHBI/rFzPDtdPtFyxpmsG3Vfd3Wm40soxe5hOuZ YaLP9thwDzMMW/9se8GfgESYORpaeplB0znR99UsMyxdC0vJsvImCswloqLp uk8L28sbjCzQclGQ1ueSRtiVK1pZMrPAlhU3mjYPC3j6H/KK5MknZJQP7dkh zAIWtWuOx0RYgO3e6JmIgTLiV4Du+pwcC9hp/6AaSNLl5M/xEbMawnnqclnO bhagVfkq2UixgJvgvW1vL9URm89ZB3lqsMCXm2jDj8wCda2QoX2miajL+M9I 14AFBpuzHZPFWEBSct9m6xNthLuE/2YBUxbw6ttWU83PAukkg7Ufcp3E9gfv JxsdWGA/D61wlJUF+lcrak1o3URb++esCA8W0Jr2u824TI9TrvofG2ov4Xsk 98nNIBbY6M27xjvMDKe8w475U/qJAzG/Typ/YIE9MnxPGfLpcav3re6WHiaC b413/8xngZzB5zz9cczglz+V+IQ8SkDl+me3PyzAYSX+NNuPGeg8OlxAfJwY 3853/3gXC9wPv9F4QJcZlu3f4uusU4Tu7A6uehIrXA3KDQn+wAQG2+9uERqf JUiP7XfTpwKIiB3fELRngmOHhCfu9M4RyV3uaxmnWIF1WNw4QI0JSndtKhdo nieuaAaVPrzOCrNIQ9e7ghEOerpmvc5ZJDI40q9wPWaFCoGaoxsFDFDslff9 P8tVwubVrOfmPFZQfRR3afjCOtI2E8wj3jLg5oT7dUZqbGA+/VbmU+gaStUA U+d1BuzF/SxCTo8Nci8spOyuX0XG7h+qdhoz4j22oZbDV9gg0mz1Kg2tID9P Q8KUwoRf7vm5ev8/NjjNxTNb3bSA6rJmbi97MmMtYlk+OIsNnmklHb55aBJF fDl7+0ktK06re3iv/AA73I1pDlQ9PI5y9j25NSPMhuOfmpl067DDt937d73c GEHVKWnNUwZsOGLfiVMrl9khqWoyXs16AI1u2rTrRikb9g0VV9z2kB1uOW8b +dfZil42MD1w8mDHpkbpbS/z2UHj5CbP+yyNSJhwN/gTx44v84SVJ9Syw8GG mt6XsrWofN2efLqcHZ/Oc8so6GGHXWdvfk29gxGe/ZUXQOLAapSTL2dZOKCW 63VeybcExMZSVHJIlAPv+rPnIY8YB/BmVpH0xMMJiqWadM8WDqzgQbbarMAB Xef+cBa7ZRNx/iN3Hu/lwDK7GS+igxxgL/T0x/6hUiJq524+dsSBhXsHNQx1 OeDr8pXUKZ4/RJ+L+vI9TQ7M+bpaxf4KB1z8e4n1mlIDcf3bekPBMQ5M0sqQ 9rXhANrIjBGnXithZkJeGjzKgefn33N+fMgBc/0Tei/2dxIcnGkmPaoceDTO cyE7gANKnk8Ed5Z3E43m7CVfVDhwt6FVb10kB4yltz73M+ojVl+QvTWpHLiJ 48yfsRQO2Bt8qmWv+zARNxa8u3KOHRdbyyTJ/qX7GVF4cVFwjLi5Y8X6ZzM7 zpFiCT3QywE+CxWdYh8miPKrDhHWP9lx2u+RJ2fmOOCa3aeIlqvThHT3wi1Z G3YcsePnNU8xThihjsm+vLlACJ3hsp2MYMNOMwaCA1c4oVryj9N/HxaJdO6p Y8rGbNgm5tDGhg0ntN18IjzftkREFl0ZBFk2bHKeOir+iBP2K4mbZemsErUX Pp7jfsGKT/4YL9aN4gROq8sXDj0i4RwDD9KKOgve8p+PS3Iv3f+s83biFzNW qb63na+bATcxEp33bnPBcZvznPM6LBiErufImjPgqvRPvwMecQFfgaKPXjEL PnrtvVF2PwkXmflnxb3gAq3VcNvFNFZ8KiVTLTV7g0gtufSqOZULBo6QGwss 2DEno6eT8YkVwtd39rj6PBdQxSgCN+S5cKZUohan0RShKrj1K/NjblCPyX7K dIsLZz9wi3HmnSSqGC6X/37BDYX+PCYxCVy4lmntbaLLGHFjyqcnJIobaFYT vR9kuPEev4xzIDVIPKkZElMs4IZ0EdYLvWe5sVL4wJsBkz5CFEvsmq7lho/W VeXDHty4uN2KheFjN5HwVUcvu4cbSHYWSiIN3Fi3Qf2iCa2FqApIcNNn4YFC A68J6hI37kzkyFZ3qyNuPGoOExXlgaxCimWxGA8WIPHuSIv/TUzf5vjesZkH PisrJ8zt5MFEcsa0HCognlw9WB2/nwce72p2TDjOg2ueiQQdFU0ixPRvDdlr 88DWm9XqTYY8+FGQvC4Px0eUqPaWSfUSD5Q26Su63uTB/OmROi8uYKSmXC7N bMUDr5VVBJ7d5sGhpzIivOZ+oSry0v7frjzAH9j4dMWOBzfKCD3+XPUX3eBS PBvixwPBxgvVVbY82CD25XmJ2GY0vWxoc/09D9wd1pxevcWDLV+6mcm4daAn w8+8FL7wwMAiR5L7dTr+XMNbA1+6kWhLZtRULg9UNry9d+k0D47nyQeZ930o oXwwK6uKB2YM4/3c1Xjw+Y1zEmq+g0jtp3i9ZwcPHEjy6F+Q48G6d5Qay+6P oKp47Qm9SR5g/Kgn/KuXG1vNaJ6IjZtE097xch0CvDBTtjl6Sx43vv9jvUpB aho9ud+kHk/jhc6aQ4N/grixm1p1u92LGSRqwW5ov5sXIrWFHott58amhouV 1+znkaqWpT/TeV6YNuStLFPmwh9O95jwSa2iJ8wKc1tCeeEpH6ViopMTs3rd uS3ltoZEZy/yTcXzwuoxjj3PXnLiroFKOa6udRTf462Y9ZMXfqe/yd3WzYEF TS1dTlWS4HfBwFW9Vl5QqF21u3SaHZ8/c0hb1IYJRN3jSuxk+CDcVFBezJQZ M96SeGy6mx0S1jaH/ozhg6tXhFJT/jLhWJWAw+N57KA2diHN4zsfRBkpVgcD E5bSCPqqcJwDqtq8Kk+U8MG/1savT/kYcWI5t5m2PidM05usfYAP7Aa87SvY N4jG4sQHL7Zxg4z63z3uIvxQHxBgxpo7Q0xGfP1Xv5UPLFaCwj8Z8kPl1jLv RxemiaMGoj3f7fng1cnRQpcb/PBdcqeb9OgkkaEpYPr8Gx/g6GPD+pb8sFMp 4YGIxCjxczbJf0GUH8S1F/fN3+eHjGujKnY7hoiw0DATlV38oPnuzNWKx/zA Rooue4X6CaNdb2/rneAHu/FEzwhvflBQ1/hcfLKTOPZr8Y04/f+yV1drtN7w Q5D9n2+7w1uIV0Phn/J8+GF2IGNeMpIfbNmMlF8E1xE9CiUlu8P4gaLKLz0R yw9hM7HtStWYcK9e0XX9xg/OXQW33mTwQ9J1HgOO/R8Izl924xp5/BCzR+ql NV26OQfmsG4kI5PTdVt+F/NDjfe9DFRC35/VoPWHWBHq9I5uFPzFD6stVW1C VfxwbGbM8ZBaDdq94KcsSNcVtyswDdbzQ+2BPbc32TUgwROKMWV0+wV3d8Wc f/xAztUOKYptQ572L7n2/OYHj7qWUy/7+GFuMkUr0rYLpfWNPT5bzg/JW/Y4 mY3R8ZOs7hn59yIHPh5bWiE/tLg+f39gjo7Tl0FFOWEAnQ1rePMhix9Yq/oL uNf44dFciVVU8TAySyjkrP3KD7uoMNTJLABVR9JPtD+cRMeT5ZLUgvnBt3R6 r4+wAOwSeOGhwTmNSvZXvLrvTs+TpJ7RVSkBsOwoexL+egZduhF0xPg2P3Tf /uSxU14AEiqufz0TP49Ya5vGNA7zwyFhw+rm3QIQQvOoifuxinpDYje3PeOD kRu5llsNBMBwR4Js9N51VMD658Mz4APxb6Iv1i8LQGBdjUBdygYiOXrgrzO8 oMlm973WRABQtuQQyykGkBNP+fNMjxfef6Ex/ucgABnqY0zDm5mBxpojf7yc G/SWvd/9ChSAE5cknJEVB6iLHQ4XWmSHL8Fnq2xqBIDDWu2CPysnSNiU/+iz ZoeW/qRZaBKAyE2f/9RHcsKOk0ttA61swHqIhSzSKQDFdtdWNsq4IHCExkyk sMK1zh8WuRMC4HQ5XHnHDA+4MYRXJu1gBt5t0gy8fIJwuqbdiFpBz7O0TGDu ljVkWzKw+6u+IGx7aWQkuMEPV9zeC33wWkEYPlsrXxCEhuI/y647BUArs0ck rGMJ8WfbfUy4JggjnvFPfQIEwMi2h73AbR6lfF0SjLEVhGD9bc0BCoJgcrP4 nyrvBJoO5ZoODRSEyOBfsE1bEGrHPNWe/DeCjgrVKIqGCcLy1fmXy2aCIGZo VkHpGkDBz18ZB38QhEXffV4sIYKgspzsHPimE+3xkP7zPF0QNKL+Ce1LFIR6 Lu/TvH+b0ZPVLnauHEE4sk322n/ZghDmXTi5xaYW1TvFwrMiQXDy3TO3vV4Q 9sY4ct8Q/oycrHekeNB19VtTNcH/BIErmLfAffwrUdI3M7BB1wMv3vVZ7qbL 3MGyN+ylhNiNTNmH/YIgcbst+Hof3Y+ASsc3vr+EZcuDi8vjguBpWNdB9AqC Y7WGUmNEC5F57siL+wt0/6b2TeJdgvD9UnTgYfEugr2apXR2QxAO5fHctGwR hEvG3vU/unoJQ52KdXt2IfjXyz78uUYQDoj3qagmDRLxhQH7JviFYHO/o05f oSBMvRAaVnIcJZbUDe7YSAhBosXXHv5vgiDvUGg9Lz1J6GaKxQ5RhWDpQP+b HdGCsL4vRm2SNE2E7Wr7Z75VCPRF3x/XdhCEgyXlxrMFc8ShLTf1jVWFYN3H 359/UgCEGLuG329fIx7w31e+cFUIZmYua6yUCsDr/7JexTFuEJW+qmZ/bwrB NfbDrMPvBUC51qQs8RYJS7OQ3p++IwTduicS+tQFIEK8fzR1DyPOW3rGdeKx EGwKytwYN+IHlh2li6NfWTCpJ2wYRQtByV7DLyZK/3ePmzgeluTGnt/z4hX7 hOBBy/2gBXcuuNJ5VfNjIzeu2+HZGTsmBMlnXJlf/+UENzs+Re5AHiyfeFxc fl4I7hT0HtK15IBSmTvBNxd4cVFEjbcMmzD8l9780eEyK9AajyVdKeXHrM+6 zYUUhWHbvM+q4Pw66i9V+bzRL4h9L7NuWrMRhgP51272q68hndt1ZyXIQviw Cvf8kKMwlD6VbznttoJaxzuSU/WE8BSLYGnDA2EQu2IUUz+3gN633z2uGi+E DVOlb6X4CwOf3/3xQ4mTyIT8+mAVEsab2Pd+Mf0sDNfYoiEzbAyNn1d9tnBN GDf9O/To9DdhuNT71mCjeQh1aO9mM/lPGPunwyn1HGFQls20/nisG029sInt ThLG09f0pkQrheHLKLMUX38b6p60IcYIYRy752wBU50wzGfdHF3dV49u9VxZ lfsjjC9xGgZPtgqDznjQ0tJaBiILmXGTRoQx/m66t2JEGNbO7b1jvy+KoDyn TITPCGNHv1usP2aEweVQyqDNp0IiZLRI9OKSMN5ibNv4cUUYjvvZ62z++Iew /3vaR2FVGLfsuxf/kkkETAZ1drLfbyZmz5ak89HtAdz/uTzkEgH7XefTP8R2 Eof4aq046X6OdLvpWgmJwJeeFpJpUC9hvWo2Ikrfd/aHF/kiWQTOIdcXBx4N EoWvUevuYWEc/9x/VENOBPyWT3mG3Bol3tnd0bnRLoyvmAblqiiJAG2Co35B cZII5ctMflctjHkPhgZI7xYBgyzX41dkpgmztpWxvlxhXMAbcZ1TVQR2x7rc S2KaJ4LPq4fFBwpjhawEhl5dEbBw/jeXkrlGGFl+MucQFcbz/PnH3ljR7ceW resjN4jreoq2rRNCOLG/RPSJgwjMHDnqupZPwltPHb1dUSKEr+ZUDti5igCh 8PeheDQjHsLRx3lthHCRRZOPrq8IvB3M4jE8zoo7GbyjvrwSxIF5E7/XEuh4 1NcDT4ry4Ba/7u0xpvxY2UbmgtmQCGwXHzMY6OLBHnLBtZ0C/LjziPyWM1Mi 8NBp3nw4gRefmExRPfEfHw4W27qoviQCk1Wfci6L8WM9//tmnWRevFywN0yM QxQ+jB89L/BEANc53Ft32MSFyyT02ysUREF/sXCZf0oIX/jz4O9TW2ZsWvqf +U5LUVg/8k7y2C5hvPIuv/aFPxM2U9t8ct5WFNT1j69M2wnj/qQw6vVYRmye WrM3+z7dj+ujd8H99DowNDyeX0PClu82sRzzFoXVh4qDHaki+EhLCXMK2zJx x7b6o2GsKBy1fXav8Z8Itpky2BsmvEjY9br4SSeLwk27hFgSmygW2PH025zU PGF/Sf5u93dR2JUl71lxWhTz2AcrMFOnCUcNl6M2xaLgUhSa5ZEvij9bP55+ vNJDuIrJdT3uFYUBuZqHJxpE6X04UE587yAe+P8u0xwVBZEffrnCg6J4mtjF FG/VSDxkcE7hmBUF7X2jfC3zopgY/nsqclsV8ciJFlq1QsfDlmz3hlEM3z39 u+PwWBbhNlL5OJhJDHa7LBzR4RLDNjw+L2qsw5DHjfsWhlxicMVVQn+UXwwf EL5i7yhVhDzrqaekhcRgT8LRwodCYnifiuoqh2steqJbua9bUgws38kfXhEU wzs+DWziGWpBXoSTTBxNDA4d9sMmfGL4r2XmF4EvXejZHiqrzVYxENvVn5HG LoYjbY9HiPT3IZ+EX2Mqu8RgkqVoYWhdFHfda9ZkkB1GvjJO9XMHxaDmACpi mxbFhw0ebdK4OI78gym5WUfEYHnIqIyrWxRX2zTlyh+fQgHsv2Ie64jBb+pV 8nyVKDYzJm3JN55BLx7e89c8IwbFkvHybpGiuFw08D41eAEFWVRcqbohBmH9 UXI0T1H8J1T1kEHCEnrV5qgRbCkGfKOCTF9NRbFR3mUW19wV9PqMrJKhnRhk MxW9CSKL4hMtb+Q92zdQqKrjctdjMTCtKyc3m4tgqV3bGSvWmCCCT+btXIQY 7FIpbPKwFcLtW7gPvqbPz4k/7Buk/omBuUNNbZGcED6D9iZ4veOmz5lSeV29 YiAawPdLq14Qf+0U6Fb34IEv0SWfYkfFIDnr7c7tKoLYiscgxuUYH6T4ke+p rIqBOOVuaWgJPyZb71ytPkXnZ9eLhTTJ4pCX6cDFvsGJYyM7U+Y0hCGfTeKM 9SVxWOd70ZzOwol180kT9RHC0P9xu26zsTi02Pmfe8fGgaOYensy5oWBGzQ1 jluJw8TS7T+pa6zYV8TVRzVcBAydbffK/ScOyaNX2g7+YMTWoWFmXwpFYWKw WKL1vTgUjzN2Lb1jwNJBRxjHmcVA+GmroM4ncbC684+0+yEJ1/EcTMw5Sq8P 6hTXjy/iUOZA5Xe1XiXyhMbl69LFwOuS1HpQnji0a8veEWafIWzlq7t/0nFI Vzh063aKQ1XxO9OaD5PEuGKiyd4X4nDU/Flr5qA4RGvNqEc4jBIfr+aJjn0V B0vGiLrNU+IgWyRaQM3oJkpMI1un+8Th26HyEkZGCRhUD5899b6V+HPmkMbu Ffr5G9oJO04JGPKwTrXI/0Po+IW/eMUtAaS7s5ntghLAHmI/qe1IEJXI/paA pARs5uNM0yNLQIpQ4IHdLlGIKrtb+JOcBJxIkk3KostRkbE2a6YyFFBhZHtC UQLsju+NUVCWACOTKnbepXr0Z9F+gaQkASE9uuEheyRAI8nvXcRMB6IJzpcU KEhAzuMbIczqEuAVWE4aWehFXjw6bwJoEtBNdnrhcEwCNOtVPvHPDyEXI+t8 E3E6vky/Z536EpB4u1TNaWYcMWXEHz5MP8/2c9HuJy9IwJqi/g9rx1nEdsJa jbNbHFz8K+9utZCA3P1nSyMm5tFL64j6lVJxiFDotgm1lQCJykWnNssl5BE2 MjOfIA5FRQs3WZ0loH3+5dVug3V0KGPfgKCJOPCv0Qy7n0nAZN5JJy8SM8RV Nu469lEM4m67qIUlSoBroGxzkQoLxAff4O6+JQaVHC/2sqdLQOTAhQdO11hh w2RdMUlZDKY/xWx3ypYAWWZntzup7MBT5OXeQb9nD7dXU85W0uMRvBpkrMID ww191viOCNSf3MzCOU6Pj/HWk4NavHC7crE0UUwElodV1+/PS0DdOhYzucQH Pj0+S1y5wkDxPrPQty4B5/gciexMfugnn31puiYENsSDoXw+SejJuer9kc4/ XXjvlLSdFwQmlb+/XXZKguIN4ZOnFEVB8trM4d5+btgp4BYy5CgJNm/yO7I8 ReGWUpxV8QAXZLE3KpQ+kAStD7jleKsobKrXK1Pv5YSjpO3ZMU8k4bb06ccv 3MVAtWIHh0sNO5ybaO24/koSvhoFTdnQ45uUnhfU6cIMTr/3KzakS9Ln4qUc 5xF63PnTz6tfYYKNooDs9GxJuPQqbe7oVgmAf27PThxkhGc5ffqBhZJgMhG7 MBguASx7cqsUmjbQ26RgB72/khD2QyDX1kgSfgcUvztkPI9yfCayC6YlwU+l 0eOGpyQsKjmXPF+YQcfctU5GLUtCEa2poTRWEmDw5LVcnylU5Rze+ZCRDB9X Li+0d0vC4cnRm2vH6PzO4gTLQUEy3GNvNfJYkYRxljP77c/3IsvrH96ISpKh sbT+iSc/Ge6adFY8yGtHkxeWFGepZNj/71u83w4yGP5j+HwiqBgxasWd/LqT DMFPz2zxPUiGV9qVdotGz5Cf+nqnP11ff/nath6Rge/T/RHXoAJCeO/5u1ZH yBDwmuppdZQMlcyr/0Yu/SXeK39m0dYhw1Zb5j4t+vrtJ/UiRbf/EZvkmUI3 nSHDw51GYZZqZNhhKlGYlt9DJJMvb2W6RIa3hn1bq3aTQfPHYe0flYPEPqHU nM4bdL+SztFOW8hgmeN1/XDjGEFwsp/KsySDFb7rbyxGBic1R/UTdlOENuP1 rnd2ZGAdElsPYCLDZvPyQdbZGeLP0ve7Ls5kqI775b8xIgnWlvvVXJzmictT 3KwX3ciQajk+mZwqCUz9WkvSTiuEdWfWVsGXZDDvPXrNi18SIjZKXQyTGHFA nqjjs690/EdGo9k7JGAkuJ/Y28OExTJus5r/IAMDj9z5vgQJUFLl2s0twYKj vhSFahBkmDkq9LiQfq8Ihapzzz9kw6nvHXLXq8iQTzr6rlhWHF5d+3mXWYE+ j7hWsd4bJ4PvL8/7FX/EQOVB3+ikLg++6rDp7dl5MkxO/m4ydhODlD23N7tZ 8eL+Ww+UVNbJ0PpH9Ovtv6IQwBXTbXeKHy8Ybj09wiMFMQujRuSzIpC6dOo3 zUYQS+73emu8TQr8LMjiN3ME4FNGWUPfXlF8Y0Zd+aSNFJwaQWyyuwSgdCV4 y5nPdH4kSKqpc5QCycMsTIUx/DD2fPDMdVkxnKVScPfKQ7of/Uvrhxj5QHGT mIPgihgWvqOVbRkgBXpWKwX8OznBzvX+9DcvCVw2eFLXM0UKvu7qPjw3wQ5v 3vnkCXdK4HtsAuMcP6WAwrP7q0QiGzzLih503yuJaZv/Br7MlwKa3q7Dw/ws kPXM2F2zThI/ML3YHF4rBfEN/wWFG20gg2sVLVUdZKzSft0yc1YKIqsErT+8 XUVbah49WxKTwv9WqdxoTQr2jqto2NYsIedz3+0KTkhhX3Lv12IWaXiTH+gv u20W/f31fo4pVgr3Glou1IpKw5SSy64+gyl0gXb7j2WlFA68v/XdJVlpSNNw V70zOoqm1ElWmuNS+HDI6OHOLdKQK1nUH3GtC8WRFWVAXhqH/rXzGjsgDZ8Y fkVvkBvRsf1qO84ekMbHpndtdTwiDdo+EPakswSt3VMYyTsujaf5534v60hD jbvVpjg2e+KV0Bua+1lpHLnjhz1dgvEdK1nf9VLC8q2/2StDaax30kWE/Yo0 1IrS6k8TjYRU5fON2UvSeMlG9WeAqTToeXuP7MjvIriYYhmjLkjjWL81IxEb aVAxpOw//nGASPpy8nDwSWlskEiQ3jtKg4JOe+PKkzHifM3+Y7+PSGNSuXsM 7aE0nFXKuPMlbYrw1Jqy0VeRxl8GNLQTnkqD4fMB98zoWaIu3LFKSFIaX2Zl Hd0RIA3ZxGMnV9dl4lbmNqf7HVL4m4bvbvVIaagP4p1VN10jsOLTAvFsKWxs otdYGCcNjzVmVf6TJ2GXZ7Ln2YOkMK8773+6KdLQn6L5JoWZCdfuO1HWvVMK W+YFFVzMlwZ5F9/Fl/bMeCJif03jMhmL/Dtn3l4uDeJBPjrLrSz4YNpZmx0E GResiHLerJUGthtiJc7x7DjY7g+/3CEyljr47oxDjzSsOT5M+irBixPa3YX5 liVwTfrHTn8WGagNCbl7w4YPWzuGWbFGSuCHtTefCPHKwHZzTQXTq/yYc6Bx xxckgbdObVEIE5UB5jO/zwzGCOBbub8c1B3F8ZPtn23jtshAxmrRa1sRYXz9 b/mrjSRRfCDh23q+jgzoJj6r/3JTHOu8ds1aNxPE0RHFUgvPZaAm6Qe3QLs4 Lu7hdz5dLYDfGyk3ng+RgTQ+e59/ZyWwwE7llYB9AjhUMjjwW4QMmJ3ReGiy UxJfWvi2dH6RDweE3GB1+CoDU+7LFVyYjEnjlZuqKzmxa8DKxGiNDJgcS5f7 JCGFd4iOZWjf48D39EwSTzTLwBGdTj9RWylsuEc4SUyCHdtxlpsldsnA1oEz Mpo80tje6FrsEwMWbO4V0mwxLQMVh052IBEZ/Cbq265/uzaIs492FnYLyYId mZmLS08GP99kXpyvuUroq4U+PCIlC4vWDfs1H8ngp8u14umnlwjt5fX9UfKy 4PP2im5TnQy+ciwp96nhDHHYqfLz1b2ysEk6toKyJIPHTBVCT56fJA7u2W2R oy4LvOzNT9LEZfH5+h7N/nfDxJ7pt1SyFt3PhWvfXunI4tZNjuYfatsIpTsW IU0XZMH2X75b02VZzDVw8lNUQA2xWbnq9P7rssChP7Zfz0IWMxu4RbGzphK0 4T1cIRayQPmTd2Xkjiz2Ewu8nrgJI+n4d8WztrKwdYeOcpq9LJ47nmf82KYO iZszuhk4y9J5++/4cFtZbGeopVdh1omE5G8dSnOTheY/r14mWcpivVvtWSKv +hFvd/Usv48s7EhNM20xksX+1yOTlQtHEUfUvq+2gXT85GhTRT1ZHDZ6OcXf eQoxXwu/VfVWFgaZioND98niJJ36VoeAWbRBZpbf9kEWbovU/lSQksWx++oz fn9YQMvNVu1+ibJwTvvpr7QmGexdzzU7W7SGJs8fMNDJloWiqX1NZWIy+Ijy marKSWZo0/+rVtRGx+MTsOd1qzQemO9cbLnDCo1chxZofbKQP3CKLyZMGh98 +L774DAb1JZHpbqPyUKacLJxPKc0Xv8YvX+pkRPKjt3ZjNZlQWDORepUOhlX e17NeqTJDy0RzOz/+ChgVfcXbztLxkVfZZK85/ihaW3/TW5hCmw3KDeJGpXE R9wKw/RjBKDeyLpAVZwCZlEzW52FJfFrn6bIyGVBqJGsfRBGoYBzW+ivkJ3i +Peu8BZDbxEoCYmcuriTAo2Lyo/GUoTw6AWxvdqckpAecKi19iwFaGeCrHLI QvhDwIM78h50HvaOlyXrAgWUwh1OpHkKYm137sCEeUkQjO/eHn2ZAqb6bRPX Twhgr4sShbfqyWCX7+tha0KBF2mVGYP3eXDUeELpooU0KM+2KHI7UOA4i+XG WXluzB994+LpQmloJX01mLlHgVkphycG9H7TIhn31ErKgC+P58MWFwo82K67 tZyPHU9oqy3T8mRgcLPSn3h3CsTVtIR632LEzhKvuwPrZCHm0n/OxwIpwPRt 24vIBRIODbS6MMlGAQPzUx+UX1PAweh6iAfLBjGkJ7v6UI4CjHflKoXeUsAv IORoJXWJcNoW4H7wHAVu+P+S7Y6igI9xfFmowjzBnkmruXaLAnxvI3XKYyjQ E5BvyqI0Q/xnZnP40gMK5H26ezclngLq5P+y4rWHieI4MRfiHQWkCHLpoxT6 PgdePGA90EsYacG6PP27X78mJm9+o0BO3HbXzxpthJtRhYhBGgVcmwol9TMp 0FA9xFnNU0OcmG24eDyLAop9bzT35FAg9Sb3vmS3ZMLvv0fxGwQFmqas75Ax BaI5Y35lDmDEWq92wLWQAt7rKJSxiO5v8eycSU4dGthr8OQ7Xd/HJVwwVEo/ R0gpadSzEz3Nlb2YQv++T2xwpOYXBSxSpA/rJvajkQyrslt0v6/kc0QyqymQ yD+427lmFDHeS1DvouPR2PkSRf6lwPgehaIa1ykUlb3PSjSdAtPqZre8Ginw 3IfcV/5+AbGJKqtnvafA6Yvcuec6KBDGYxt5KWkZJV/f9kcxgAIbpp39qj0U iC3k/pL7Yw15hzYsGD6kQLLdN365AQp8qrVk2tbLAG6ntPet0PPC7WtkNjVO r9u1hT0dN5kgR94x2V6dAtkhKgFN0/Q47Qn9HtfHDJSrnS7J9PxafWTOJObp 8Q74fDGhnQ2sXar0OP/KQlnOZ66AdQrMndh7MzuFB8Y9m2lr32XgycRq2lZe KiRd079hLc0He+DA3WVTGdi9WtMmIEiFYw1dtToa/OD45vqzHB4Z6Gb/xLok QoWzCgNyBbECoB7IcCPjnDQATf9yqTQV7KVL3sA5YRg87lj7LZUMq+fCGcy2 UaFSXOQgQeexe0VzJs6ni4FjlvrpcD0qvDhqUOlfLQGpKdAqJCYG3y+XMjaf psKHsmXrQHNJeOaOvrc7icL88unvwuepoNjWvbf5GRk+rRWVLG0VARdVM0n/ q1TgDHbx+v6O/s63D93esBCERzm+va53qDDPcVjfV0QG9CN+cLUkCwBhJPwm w4FKf9e8opt8ZWAsjJXzxTQ/kNbCdaadqFDrLfzfC/q9zsngyDnbxQse6qnJ tx5TYdJWnRZ7lwLh7qWyUmHs4J3X6Gz4kgpV4VUBFuEUYL3r9qZnhRXKrhkr vXpFhZWO01/e0+tPqeKbypFLLMC5MfyvOpQKG8zZHzS5qLC14cFLzMYI/mj9 6PFoKkzUBpUnbKUCy9/CTTcvkeB3h/ecxyf6eSMqNC2OUyFLM+SX7qk1xOsm EJ+XQIXvOtEGdc5U0M3QUeJ2os/9WJ5nXxoVwqXvPXZ5ToWTqutHrjLMoD83 kgn7DPp3XJRdJpFU4NOn9XLxTyBBhgMOX7Ko4HShSss3mQpMB/etU0UG0bno fPmhPCp0Pf3BOk5fZwgZUxIW6kKvj5xolC+kwmrUkKJvERV05L+0zovUoYau Op8bpVT4KMLUdOUXFeKn45cDJ34gcY9rau/p+g1Ka/yNaioc3FV0IfkEJi7R Bscb6brqK/FPITVUiFrq1WXUbyDCCuyjhero8ezK0FqtooIFm9yLFNVuotVk xeBUExUOgYvLywp6faXzb71yZoiQYnrK6tdGhXv/Trw7S8flkenarLJ7krj6 kfdnSSf9nOtBD47+pMJV1Wy12pwZIkIj1JqxjwpvFyxu3PhMBXPWvhKGYwtE Rw9V5vAQFb7MFK5+fk/Hc+Tw/R2/lgnKk6QalzEq7L9Qf6/RkQpv6r1qPwyQ 8MeivL1Tc/S+GDNayzSiwn/eP4zZYhlxr5n2oPIyFUYofUE1R6jQzzKQfcKE GW9mqQ2zXKeC47mfSslM9Dx/KbG88JcNxx/r2+hgpcHW6Lr2QHMKRHpHmmW8 4MWfS7gqqsRo8IHvvsuLAxRofb1x94skPx4zf/2AU4oGU3JeOwbo97unh1fm hRF+vJ1NdocWhQZR1zK9HtH5jr+FunbsU0GcenzXq1wFGthuSj5XROf7B4yP vg8OE8EZZYbXPh+kgf7mE81h6eJw8rNpDVYkY6Li07TPFRo839j/WVpUHL5H JgYcpvPBNPEa+4fXaYDP3svhuicGe5Q9Z7YaSOEY8+VJO1MarFpP9DxQEIXI uN7BxdvS2Jfx1MRFaxqUlVSPiloKwSmWPxvy92TxuUOLI5v+o0HOZqFHBimC YJaXdaZmVBYff0azlnhMgyXn6YrkOQF4tfdPpbwKBR9q0Bvm9qRBodI+BXln flDjZmreEU7Bsg7RgzO+NNj+Rp8rNpcTBoPiimONqHg4QbcvP4wGM/8cs0M2 ccDxNUf5Si8qbltwNPseQQPn/rxaUx826GMo//42mYqrj0X2xH+gwe/L9yzs jjGD5NmYaqEFKv7WNdP1IpEGuUw6XJQIRrjM/s/gmxgNx+2QMfZMpkHdJuZz /jMkyOcfZ+rbS8NhD7U7ndJoIEqqT2BUWkF3rzo6dlvR8GOJ8ParWTQYT2aT WStaQKutWjWf3GnYwaL06pk8Gjx9eazo6OVZJBwOL/tf07DZ96k2zQIaHBg6 9lt0ahg1Kf9T/pNBw7pntFqVKmjwutVVb5W5FzHF/LrqWEjDapF2l2WraEAS 71y8vbkFPUxIfu/9m4Z3jIU1C9bSIPTyhbMDDmWo6YaHA3s9DdNUiw1ZG2iw yfVrf2/KO2Jk+kzBbDMNC/tMNC4106BcQYliZFVNvG6IK9dto2HWRomLY/9o QJ6WVyKl/yPOp09ROOj2JXnNhs4uGsRUF0ycaO4j+ioas7fT/Yw63Dlf10eD g6TiFKbmUcK3yXso6y8Nt+PQutIhGmQpP2RrGpkiYi7MnPvyi4b/8BYaZI/R IPtNAKFsNUfUSjGwsObTcJHRWG3yFA2s5MKcuo1Xic13D5FHP9JwwuKRP6+X aBCecK7zRMsG0c/CZfRfIA2/17I57bNGgyoP+5vdcQy4re9PiOMDGg54FVL9 gEEOlD1Ue1bEWPDuAyWfPuvSsKPKyG9TDjkYNnu7sNLKhbm/zcw8KKPiw5av KnZKyME9y6G1zKc8uFWP5fjHaCremZGns0laDiQZlJtFlPnw5L1fB/ScqVie eahMnCoHmjIqpp30+WpCkZftoAwVc0Spl24oyIH1AdmF/deF8TmZLfJi+hRc 19hf+PuAHLSbPh/6TZ+/5LVba166SOFbxw/m3jKUg3PWLBOP6PxWv4Q38UA9 GY8rSBSnGsnBkHPXR4WPZEz9qrlXXJmMHTiXKpduyEHbjiQYYqLP4ft8zvf+ ksAPfme2+dySg2tG1QrNL2Qx+9XHAbENovilwYHVBFc5oKp/zfUQouD+k4zj K7yiWGSvOPP0IzmIaW5lijaiYLlzB4YtNURwmOgi1yFPObhh//L10QEKjmCV smeLFsIfm3+QK/zkIPpk58+yNirOKZATHtnFjzOu71cdfi8HzNrvpfWEaPiV /PhjiUherHpETGNXNN3us8djRYuGrZ2ozh9ruTGmLei6fpKDeifLi5mf6HVD fhr/WZEDl/dlXOZMloPWizD7E8nhmp8HzdMj6fm03ue6lZAD3zcagonX5PC3 HUc7vcw3CGN9UQ+HQjnQeXlVx8tVDkvtKmkb9Foh+rfP+2SVyoFIQTB1NF4O 9znxvR7+PkNMTH1/q1sjB9fZ5wOss+UwZ6cxDvKbIBz/vo4OqpODL1f4Uwoq 5DCrYeFG9YcBYvHbvYSWJjlwLHP+PNYgh4NVeS5+uNlBPAw5n0r7JwctnVPb hjrksIqc57LdTBXB6Lz3p1WXHHhTthmn9cnh98G6OjE9j5D3JZF8ug4hus7z WoNyOOFPz8Ho+zWIW3WubHlIDmrfn6d9GpDDRY0ejXOqneilVH3N0XF6/DPW w3/1yOFn5R+VR9UGkcj6tybfaTn4LlQb97NNDms8zOH/JjOJwjpeddbOy8Ea cxKTba0c3n+5pJNXZhbJ5DsOSq7IgYFt4dWd3+Rw5ryqr4fYKlJ4smcxkUke 4vQF3SFKDuuIlYVuYSfBl5vCpBk2eXjjHw5kHznc2qoCNYyMsOv4LJsqtzz8 j4Lrjsf6++L23nvPZ+8VEj3HCElSoSQlQkRWKLvxbVEhqWhp0U4ZET3XSFJU pCR7hwpRCfl9fn/d173P/Zx77nm/z7nn/c/TVqt/1Xq9KRor9Mm8NCUOVjLF mq/VcCAcwA248MwEOdRuiiHfk4d1GVzzcTwObKqPQ8AprD5+iJi7lqkIHyJV +VwKDgKuBK032GaCxPEWCbvKlWDzxp8OCQwcZO1ecyNqxhhJeYqIHDmjAn4a TzxlzXGwsWNeK37RCPleSCo2J2pA7EVOLNUJB1cHxi7kqegjCdpbj7N39eBi IbtkdwgO+h19dSN26KHItlXVRYH60PDZv+HKHhysj43HZdzVRab/osWP6hvA jEzOl9YoHHiZfNiuz9FBqEglcyDJENaE/RW2SsCByYkt9qmymqjSxGjSAHu3 /7JrXeXScTDcqG4lMNdAqv/2isyvNQaC/+wOyMDByJjhK7avOnL33fzWLgfr j7OJMXuzcbB/37dLnFuqSIPHuj1mYAJ3fqXldV7EgZ3OzL81MkpIyeG+0VpF U/B65j567z4OVPcpp58zV0CNd/LILvamcHjiyHxvEQ52CKceNvKQQ5k3b133 jTWFR/rlCuqlOLC1uzn+M1UKTZ9e3H7rvSlIpeovS3qOg90bX1m2npZAdv0n Fur/mgKvaJ1TUQ0ODEOjLwfkiqH+Jw+rvxjhwLf/gPdQPQ40reOCP14XQkpu HWkv/HHw1H74wNq3OBhrnZO56rAouOJwLv9kKg4GY7TOHmjF9m9yVAzkzwm+ BlWLsnJxoFTgXFjyCQfOy2zXDhlNCfxSbTR/1OIgSPphs34vDgKj99pVqY8J DH6ySkU+YHhb9vWtH8SBg1/iSY/+PoG6VkZyN7bv+W7V2f9Gsf3fX3EfrW8V uC/WmqaMYX5cXCVVMYEDkfK82YeFtwSfvrE/903iQKM5Tvc7NoJg2zWyz2s+ L7N/g9gMFpel2wyTWQyXJyd3Ccy6+Rq6yvWDP3Gwh9Vp4zmHg7TEXxd3+47w 1UNvfT2AfZ+7Q8HjxCIOZq2UObibP/hfpa7+6viKg/os2PVcGA/ml5yPGM78 5L9861f4owcH07VRCdPieJjlbKy2UPvD19s0Z4VacGAwe+MUQQYPIlnJVysJ QqD39Uf2+Qc4iNkkXXJKBQ9VFuUKdzkiICRe4nf9HMbjYysaajTwUNt9Tv2s lRi8iRYnRSTh4E152JdfOnj44txkqbpaCrI1bFy8+TjA6bUIbzfFQ11PZc6Q vhKUbP25cRirvx96c12ZPDzMiKzY4q6pDBZ7OFd2h5qCkErTDn8LPBDX3C1P VFCB2IXi8E/YO0SzW9p7zgoPCeY19VtnVeFl3FxgcoMJHLrpn7dkjwfD9sv3 DPI14d9Eve8I1l9zQmijbz3wkDWSNsZwM4B1/fcm+EEGkPmz6kBEHB7OvoyX vyxhCDW/67vdn+rDnpaMHVsTMD8Nz5zXLTeE7CGDXybi+uBS5G/jlIKdO5Ta /e2YEah6Ddg4ZOmCRLi0sNFRPFwZuLe+D9MT0tJZmi5JWpA45p76NgcP19l4 kb/KJpAn/CO34YEmeL0i+j7LxUNO2t03FV4mMPYi8XxdpwaYFf7lF1zGww3V 8msy/SbQM7F9fyFDHaYCri4l38LDnT1fLzVj9d6r8rzL8vvKENg3nswoxcNF wZ6NyrI4IMeKBL18oQT26Pk2nQo8pBt3BTxaiQPxMhvLfWWKYHwlc6XEczzQ mprwg5dw0HI8nXRHSA46t5r/63qBB5+KkFteK/AQlLGTE7ddDNa3H0w62YaH 0MNvwou98RDJVGYOhokAo8zDZ/9nPDAVw0TN9uOhWbSOZ7hfCORySNYBXXiQ KHj87sJdPKzL27tJQ2GOX7+xecFqCA8P0wZMoxEeBKVJe46ozfJvcPI7SV/x sEF/JGZHCx5GjuztfKAxxT+gvLdS7RsePpF/ZIVj4zzB2+GiUT/f6q124sQM HmooLeeP/8LDocYNkQGmH/jaDya82//gYfqmh9r9BTyU7LkhVDT6kP8rXbCi Dpv3FL0zbl/Cg4u/UqrC9gbBh91Zuo+ECNBM9rSXxsb21cHDtr6dgiLngPk8 MQLcbpUL5C/iwWi9bUfM6mHBKbLFl6NSBPh4Zn/7/t948L4wjgr8vgtCpWSf RcsRAK4+c3/6HQ+X7kl0uFr/FKwe6crdrkQAi5sV83/78TAkPyFq6PRbQKh/ FL9GjQCG7x08bT/gIYMnn2K+fl4gdvPQFnMtAkxUUTxO1+Dhw561sbKblwR9 hzwtTfUI0FqoJAsYjzQkxrO9HoiiizYLc39NCRBKcc9bgeXZufyd7z0vyCLl Ksf9d7gEyDCVPziB1Yu7AbQvhJPy6HuejleOOQEWlupJ5Y04UHT7fuBWkiJ6 E//N4uAKAkR/dgh8Go7VwUWL4Pe3ldERizN/vOwIQD4UcHLknCn8av+6Qz1Q HS086Y6T3kiA45ap29WCjGEpJomt4K2Hhu/ExO6KIsBnry9BhxUwfW9MaXW0 0kee+v+6C2MJYGW5Y7/uEyPw67FuYWgboBenjzh+jSdARLBF2NiIIbigesWo F4boxt5zWiGHCOCQWhbTib2LV8hu335HGiO/leUVu7MJ8PzQ2Db2BnU4crjn OUUBh7rfL/zbU4rFH30YP+KuBheuyuG93XHI1f6/oIcVWPxzX96BjarAS5YQ DT6HQ1Wl8u9+PCfA3ZPzRqkOyvA2mk/9ropHF/MM8iNeEmD/1zs1nsoy8Oyr oXXkEB5tCQC7qHYC1KoM3OQNScLB8926PsoE1Pip4e7jTgI4JvjsiCkWh4XN x++2LSeg5c7r1X72EgDJBRunOAiDvcVijGsqAWkx/YaivxLgic6uhZ+q//gP v6p9gcsEdDR/bG3xNwJkH71+OjZ7ju/WvNHpxlMC+qUaXTozRYDvV7fl/jk8 yU9fV/OwsJ+A2v4cOhrzlwB5bTaENxMjfHkJhitME5D9brnJkn+Y/6pm5ZMZ XfxNPSZ8s38EVNyVvfmXCBHWJeT+y99fz+8SH7A9KkFEpm761WaSRHh9O+JB fEqlIH7DyfssWSLKqrlJjpMlwqoK9Wvcg58FNztQEEuOiESWMbLKFInwavTp tas/hwS3Jkg/DksTUWRB6d/fqkTIVw+rkCP8EDRvmfKkixJRrzbf30KLCB1b uTbR1BlB8F8TJ/IcAbmlv3y9T48IKysr5b1r/ggI/FHh/eMEhP6t45UbEYG7 Lv2N8KZFgXlPuZd+BwExI9svzuGIUOoeFea6QhTZTa8jh9wjIAXPr2HxdCJc zs9Rl08VR6HWzSs0MwgouSHyYwWbCEa3yzx4NZLIe2OSsUkEAX2z/LtyfhkR MtKEXJys5dCnMl35HXgCemMoq5S4kgiry7ZXJ8QooFeim7wv/8Ujq6wz+ypt iWBx63hJi7sScpFdI+fyBo/uiun1LTgQwc76n5z5QRWknx95SDkAj058pT1O WkcEl++7Hy5WaqBTb5+yVMNwyOmJq3uKL7a/as+KyHQDJCncaGnRY4zqHLLO HzxIBDPRzgfhOw0RrcX2wdJ/xmgo8FlT/BEifDDY2kzXM0LmXqObLCnGSOLo oEj0CSIQPtmeQl+N0NvelXbLdxshp5dmYf5ZREjLUoeBYBP0SW4y9mC+Pnrj +MXG/hrmT+UqKmMah3zx3OM7QzVQqxNuXLyGCAuyRa4S5ngUJXUpWThGHc3s Wmv07wURsnmSBaL78Si8WMFvfbwapq9jPX69IsKl9BefV83g0brbxaGZCSrI 81WDYPg9EdTrnt8YqiegY/RQtZqncqhjdVj2yz7MTkI8vv8nAY1NZB9EF2XQ fHDOK8EQEdTyalWf6xNR0bkV3V6JUkjvhOBf2VciPKOutJwLIiLNvTYjR5hi aFujcnDhFBFC4Z9kexsRufnl2xh1/hL0O5daHxcmwT01ymbSVyIaKHq0Yu2e aYHo7p6oA+Ik+PJPOJk+R0RmB9zrR/+MC3BpUoX7pUmw8q0ReVCchAgbruoG KAwIVt1ld0XKk+CwZ1/SakUS+hyj+jfb6oMg8PUWlRBlEpRdGVP3Viehb4lo av2la4Kj44cc/dRJYPL7rpCmFgkdKyDo/DZ7yy+UvZ+4RZsEJQUNtQmaJJRx QBvPetnLf0X9WLRBnwR7tkR7H1MlIRkotLWr/sofW7M07GxMgn7xcksrORL6 z5/z09tnii8bStKzw5Ng2OfZmnPCJITrjbMlfp7l09LXr19BJsFNl7dL9v1E tP7Y3v2Rr//x97y5/ozKJkHVVNHrC01ExOtsDNp8VRhOT7yZNF1GApLMjE5u CRHNOdpr2HwWhUdyv/B6y0kQ5x1VciuBiLJvuBk+tJeCaRenDDkbEmz4rDPw 1IuIVF5HvjobKwOqYZEvxFaR4MrF2M0HeUTUrelFO3ZTDngnc/8uOJGg+vCL 2TW9BPRiNGjiTqISxDZN7PzmRgKmUNS11Vh9/OJyIUf6qRr8XZu5vNmXBDJK zcND3aYoKjRu7SBW14XXdfSfTiVBz9myO0InTVHfl5qbN3MwvfPcw3TvYRK4 4V+3B1iYortcbxAkGUAG473/5mMkGBTuyVl+1ASl5PJfWxsZgZFCw6BRBgmO /9NetJEwRjfvHMd7NxoDNJUMF10hAeG+Tk0hWRcFKqQuRDzEQeqazLHW5xiO HTiXFEsd5P9iNu26EB6cnslRn9aQ4FGTmWKaozbS15A8ZrIOD0rUY7sv1mN2 giNaBJ6aqNOg6HX7AB6uyqRM7GwmQdMxa3HKWlWUOPmqcWkMq/uvQr/PdpFA yEvGiGOngoQq7G+E4olwbPkoo6OPBDtPeIXHmSmjc0JrE9q2EsHttn/48yES dA689kmnKCDd7lxSPJafvce2TB75RgLh0cgr1eHiKDfrCYe/C7Pr5DStuYjF M1hzwz5zUZSo3D719DgJGspqOQtCZNA5fH3o27wQCqkrcPtdQIIMIj+6V4wM Ft3D3478+SMgbaykP+gggZGk2UyhHBmuyEfKxUXOCK73BvXo/yDBaGwR76QS Gar11qifePND4HZn8Txgdh8N02Ii1cigtWXC95TmF4Fr6x73LC0yQL3pr+V6 2GiUlL7+dLVA6QVOqtKQDFJmV8wMjMjwxSzWg2pQy+duiiGdMiXDu5s6cSI4 MigUXJC3GvvCZ8wskSWx+Xn1nLJhIhkcQmmq90xH+MWdaT/xxmTw/U/5TyOV DF+nOfcXSZP87B637q86ZCDNpls8ZJLhRpzq9C7BDF/kLat0gzIZJndK7T/D JUMs72tdvPscf+5WX7kvdv+nHw6Vx5mT4d5yW6WckUV+6hapPLUZEqTaL815 ryDDyO+GUQUrYfDn2yeH95LAqTjeEvhkSPlkcK7ioCj4qVDno16RQAn3Kx5n R4aGZTeclWSkwOTSxW2JmSS4KvptfsKZDNIJ94O1sHxYausx/j5HBFTTsZi0 hQychCv0c2eVYdPhM0K9rzE+cDxX+m0jQ+OxlcJq91XA+txR53O5GB+uvU92 8MPue6JnQ0SbGohfMv0eysD4cKBhSSGEDNEV008vSWrDUNTGDaEsAgjZlApf 3U+GxZ8SHxZNdCAqZTpHCePnFvuRxvYkMpTmxV7Nt9SFzF99AmoWHoodtbKV D5LhuaSyrtA2fZir/5I4O4SDXa7xhEMnyKAvvVGI8NQIDI5x5KwDTOG998o1 gXlkUN4X8CtuHaZre3OfGVwxhGux9dm0KjIIqUmY+5fg4H3l9ZmoqwawsP+3 T0A1xgeP/e+YWpj+qKNK3LyoD55JJOLlF5if9+c8qFjfuzaxxwSO6ILM4RPl is1kCMkM05k3JcLR0DcPmkw0ITrTtXu6mwyRsQEiTE0y/D0nWyC/Thbs730k lgtR4Pj+6Ph0ezK4RiLVyDYpuPxQcmpKjAL+2wL2CO8hw3J/n2mjTRLw57FF BUWaAleHdFeplpBhY+vjham1wnCvPNflojIFHjoTw661kEFdFBilRxf5ElWv 1dvUKVDfwLlMnyCDf/6zWgj7w/dFC93yOhTgznYlmKpSQMPL4caW9RN89Zfb IlNMKLBlfGz3f0YUEFbPY20Q6udHNJ62fEqgwP7U3G/vyRSwj8lpOnyjmd/Y hESnKBQgOV1cLsGkgFViakhLdokA937qDRmbb3O9SzNiUeDOszcGB006BMkf THL8uBRo7dByMqBToOXYwzZO5Iig/dPG7XnmFCCEWD9ewlNArfCCe9DopIDz 5TDpwwoKXKp5a1aH+au4a8PJ5Zq/BOndJVNyQIGzCiaOobKYP2pCtnz7ecFw 33DFKnsKDI7Z//3zmwy2AZktG82FEAxpHk52ooCXt5J8aC8Z+sfeS75vFEG5 o05ry1wo8K9+5wHFm1hd4SxMiY9LItcfd3pIHhSQvvVAswyrT+NgHX9QRBmV LewRkwukAE/W5X4Xlj/Vcs2zZ0EFqQhdbbIPoQDtc8czxSwSvC4YaGcnqqJQ 0fc5SXso8PnjzbFiDRJMlVkXLh9XR0YyXPKPWAosHz+3sID1xT3JT/sNruug Y5q/17YcpcCY6hk19ZsEeHuhQfhcsS7KbmgYqEmjgMgqW4V/7gT4EWsldq5G D13Zn7v/yWkKfBgpIO7G9GkATw3OtRqg0i/WN7PPUeDJeYfZIS4OSAnV4S/9 sH7syuEFzwIK5Nmn/PJ5bgQdEakoaAiHbEkqd7/UU+Dayzv7TO2NYO9djp68 Mx65fh6AN40UsPZZ1q552hA2+HbajNzFI68TJR8rmylwRla+SeG0PthYZUQL BxFQxMRmkcsfMXx/L1uusFUb/jtffnJTORFdeXTFy3eYAquGZ79RnZWgJGi0 n1lHRgsWdKkhcSrsuRPhlLxMAcon0IFNv8hIauzfpTZpKpTuvzrY8l4WVgoH xgjjKUg17x23Xp4KdloZx90WJaDrSNpyQRwFURajtxeoU8FPSszK6KQYzNw7 e/tFHgWZPVg1e06bCpQ16t67tUVgYSLvIbeSgmy3a6Yd06eC8UbnstPr//LP k4rl2dMU5FVdURqMp0Jfi5+0tNcs/9a/2pFSSSraGZXusoVMBZM/R3GErZP8 tpAdPpnaVBRhuq3fmU4Fd8u1M6SyYf7jpMmJSiIVJX5g7lvBpsLlo03PpHw/ 83XS5rPNOFR07D9hBdoyKrz7V8vtNS7hXzhX/WHegoqyzVqv6y2nwi8rJaLD 3SbBddsn92SsqOjKyI3l8tZUEOl5Pl2X0CcI1+y+vGMFFd05H/t2EahgdPIQ beXJcUEdy+HhkhkVla52CvhuTwXJVYXe35unBdYGjJ2DDCqq+as93+1EBarm 8JDhx9+CwAWXekVTKmq6O57x1oUKlq9V5Xg/hFDKWh1bayEqGpQ/XfnInQp8 t7uKiuGiyDks5K/NVwqafO67IX8zFV4PKtz/OyGOTOtML2U1U9BCOGc0cysV Gv3Fs2/0yaD+w5PxJqcwvFraVKN3YvfFC/qebJJHiW++B+3aRUEGhwpu+++i wurU4q8xjYroaEDaNUk+hiNvP989lAoeKyv7vDeooNCV+2d29pGRbY7e7mV7 qVBCk08IVtZEPQlQtWKehCK2+Nf8PkQF2cJv+9w2aqG2b4kT7CckpHBlrNfq GBWmZvHlTzK10cThnSU6QSR0byBy6UA6FYonRlMNRPXQXKJ8/mQNEY2EplrJ naVCZrtj9T4vIySdfcpcxoWAtqVcKjW6hcX/bI+Qyikc2np5m9DwIxPkcuPT ndUNWBz6irZ4S+KR/GTk6ZMMEzQ2uu3VqTdUWPdn7GNwEqbD21oGjW8bY3pi eKT1HcbPuMauI9sJKPRq/g7/s0aotnQGt+0zFd704YYeY33+zwuJh9Ze0EOW r5SvRI1RwfyIYbEZxm+/1aCCP6uCSN/XnMmTo4GxXxjldjEFPVdU/Opsp4zq Oa1FvUo0kPwd9H3wGwXtPXNG/HinItoZt+UdXp0GpcfOGJ/eSEU3q8+/UI+T QVeEguUf6dPgVVd1/lgKxm+J8PbjlZLIatUkddaYBrqlcme/FlCR52kd7y2L YqjjeJyzJYEGmrtDjj4Zo6KkMYmKK0P/BBqqR47WMbD1O9sNI8VpKIKMf3PP bU5QvEn+ljSXBpH1jdvKdGmI7pp86U/JT8GGi9l1ruY02G7kt+kAnYaynq+a e0ubEEz26g6cWUGDiRytlkZLGlLjNJ6oHuoVnMRfF/7MpwE1RMQtw46GZIsp fWv96gWUEIqRgT0NDj/Wk33rSEPBZhlP7w3U8xseFK30d8L8t//96zC2bnHY THdMro8f+NPCp9CFBvgOqH5kS0P29PcK53dM8MUsUMI3NxpcD1nWsn45DS1w PTMyO37yryU65nI8aPDr6HeXXVQa6v2V/V/nwTk+VDc/jfOiAa/irOKsFg29 ayE+qyUt8bvFPT9V+tDggGDfkzlhGnL4Xqr0MEAEEpy7ZoX9aKBUsJS+b5iK VJO8Yvp44qB1eqeaYyANAgSH7+6tp6LJDN/2w8JSUNo6zkkPoYGH49iFmX1U JNJ2DNZlysP01r/hGtE0GIug0g6uoaJayYMvXpKVICP/wCnvOBo8XJI6ehWr R12ui9Xlx5SBMSx1/2oCDZ6EnpW7W0hBL67W+DP5ahASrjlGOUwDm6zaxJ4s MrJUdmZYHtOGvgO8nfyzNNiw/ueChz0ZRayZEX7xWgcIGgqnIi7QYDHN7/Wb KRJKrXM9clxWD0LujJTlX6JBu17zzjEgoYZ9O+7PJhvATEuurNgtGqxhhRev LyKgm5J1/X/PGYMUTvhJQykNPvZWZeJHTZByRvuJTw14YNQ3CW9op0FPsJ+K v68JMlLUOWhvQ4DoLQXUQ50Yjg/Ft+a3GSOPak8j/1ICPP2e6lHci/Fhw6xV dJkRWl5qHB6cQwQbTd5tja80cJo/m362RA8N3Kr6fh3rs9135bp9maPB1iuc XyuDVdDFPTsqxy5SIV4m6MpOXTqYzW3ok1NURv1RK9XutVNBcBlenTWkw7Un WvIF/opI/s2mXiaWV2JcnZ/1pnSIdcy4Bd3SqG2vtsXmKBqc9G5yINPoEHKC XYJTk0TRE9Za4xdp0PLjVsQWFmZf0y3n9ioxVDparKVfSwONw6m5aTw60H7u NLpkuSgwHpmNsxWhw9V73O/frOgQ2vk+78Kx34IrfTePkDH/hkBey9CGDl7d PbJu76cEHduR5jkmHShtwzZuq+gQ82NJxo46KshvDS0/wqdDeDDafWA1HU5Q XNjI67OAKdJ8Z8aZDsWLF84+XovZt0yebzpzTUA48Kqzaz0d5jKjBQPYqCjX 6yN49oEv/O7JNN+dDisJa7+qedKhKfxzzv3hIb7zeK+t9gY6HKwgqDpsoUN0 Nlv2cdkkP36F9qdda+jw0lXIOm4bHcLMS37pJfzib3sxHcoAOsgNfA4s9KOD Vbdcy2OrBf7dIwqxIVhc3OKeZHwOpIOpkrxX4BdRUNqyl75GlA4dVwIHV4TT wYN0aK62VALYD9rtZoZoYMgDhbBoOmQ+y43cc1oafr0LuaRXR4OdDdoWl+Po ULssoGfATBFuptVcn8dw+T75Jk0olQ4Xrz7cGSiiDOJab90r7WjA/e9WCfsw HetjQ9YYBqnA9MM9bkoYvvu0U3v8jtFBxdLFfomkDhM68y0n86ggbMvlvsig w7m8izGRx3TAOEtU42Uy1p+eudBxPJ8OS6/DY9SrdeF94oNXtzgUkGlTfR91 kw5rs+5+XvdLDwI2VgyN92O6QvPUS+/bdHh37L1Ut4ch6PjnLDZZkOFb7sFi ehEdGvJZJSHTxvBtm164yTMi1F/bfeo9osNfh1/6TYoEYBTdC9fF42DfY2tb 7V46JOY9XQo6SoAAzS12UzdMYc9MmYXIIB3Kw1y0dBYIcFNg0iJkYgo7zTjM 8RE6vDUMCzjYSQRl97ckZTUTWF9B0Kv6QQc7D37JgzgypG2PL3/7xBAoNYq/ fJfo8C/YppElSwNbq6uljL/q0PW+73ahAQMO37s+s3stVtdJShFxj9Xgg+rW q5kmDDD4fWbL1zQauDX/0L4WpAqNHh9z4gkMWL/51pv/Fmmw+UzPY5dXSlD6 ufGQC4MB1mqvz5zBePCASehznlCAe7qr4pdxGPBYS0exejsdqi9H+5rayMF1 H0GEgRkDOHe+WWx7jOGm20oq6ZKAjL4nPpPWDJCIl0OojQ6fh2VFCQQxOGLK cP9sw4Ba5tkHpFk62GTIjtN2C0NiQKFzzSoGmMfftp0hMmBN8ueRwfbf/OCv F82z1zLAkamy5LqCAfJ1aYSODdN8X6omI2k9A6qctDdccmZA2MTHjI+ZX/me YZm4QA8GhNzuMOrExv1BmkZePzr5Lg9lddd5MaDd9vUXKR8GDCcxPuW9qODb Tv2nbIHNX69almLsi33HaPvsRXgrsOAKSRnvYAD+dP4Z3Hbs3itXmD/+1i9g xMT/kw5ggO1KBkN5CwOsNOO0jVS+C3BlMzPTuxiwc2fL5LAbdj/HVqFHuTMC 3bk941+wTJMSnJK5ZceAynvLm/5Q/gpUVnztq4tggFpUmvk6LK5NV8GeUr4k kEryb7+/lwG3/2tPChBlQGyD0GHTQHE0I7T5RUoiA/pU+e8/DtHh+mR38Gei FBqzbXm2K5UBItsa7lrW0eFT9pK12IgM6j3s8nj9YQZMMZtiR/fSwbtjol6f oYSapGyumKYzwFnnaYov9g7k/LxGmUhTR7eUKPtf5jEgLePWoaP+NECP3ri8 ndNAjGGvP2JXGcBPM57Q16NBgmuRSMxOLVT27Hic7Q0G+JDaPlanUMFT/Ziz IVMXNQR+jam6x4DzT4bmaCoUsH0mtvLTaiM0VlkY9aSKAYnefqtVIwjw7Mj6 qQEeHtGDiaFXehjwqdL9QuQYHmovHd0/XIdHpSs3jXcOMMBufmwbdwcePJ7U 3r28noBWqh0N0RllQKhzchfPHgf942/etPoSkatgeNfZSQaYFqccO99vDI1b k2+NbsTeSfVbAWnCTFi9wy6xnqoNpOWCbZsTaKi4Grc9zpQJdacZ4qhGE2Q/ LZuWb6Ihq3Pu3cVEJngPKdzP9tCAn7HXpdfo0NGL0MM+01QmqDr69T4OV4Wd WlV3CQV09FFz0DuMx4QtzwoS+X9koIabPqh5nIF+h13f7L+KCWkh5bVnJiXB zO31j6clDJRq1/rp6mrsXLtrA2sGxYDuWyB5oouBpLRFN3WvZYLvrYxL11MW +euUDB5eNmAirTo/Dy9PJpQMiujQ1//mj3HV17WZM9HVC1kfcrYwITL8UL2X /hT/xXC7gYkLE5HDazZ+2MaELKkjmx0bh/hHetzPpHoz0WP76RZlfyYc7fiP qHmrhR+Ws3l0IoCJLHVMNqwLYsKxcZ6tjVO54PnzAOOdu5mo5sf69+m7MTu4 BxOz63oEi7BdZhBbX/PigFtjOBOSOu7PtBAnBF8ztSx2BzHRh9yit5J7mUC/ frjReeOMQMzxhdScDxNtjehzXbWPCcaVu3+ZZv4VmDU73Ti5jokGVyk3H0xk Qsx7v+oVgUKoiBu4QLZiojBdm7UolQmij4+sf5MngRxCNfMOSDBRcv3VNSuO MyHkhqVD6WNp5C2bVGo7yEASF9817jvJhIcF7aP+9XJo0P2KuWYVA52OFHIu zcT8b7yjJROpjLY/LCxX8GWgq3q+TuxcJpz+W7IlZ48meu0lcXJqNx1VRxmu It7FcFHZpRfcpIVuZF0JECbR0d/ZHxl6D5mwO0ZOg0TWQbWDPVrzPTTE2486 lZ8w4bm1o2LhRz0kx3ZwfYf1v4UpO/YuVDAhsy6p31LEGFnrTFsZdlJQRvr1 6+8bmXCPOr4hqxrTHQG3fcS2EJHvLaJI4hgTNOtT8vatJaAb2U7v1DoIKJf8 Z23kdyZkb5Dw2fORgKi2JV+7PQnow72GC4HTTAgKfUqz7CEiK9ejJUMOeOT0 JJi9/i92LryRcmwkI8/VnJDnIqZIq9eDpSrOAjV3Qx+n3zTEPbydIvZLFy1N nNs+qsYCzqik/OAaOnr9SGxTxBUddJGRKj6gwYLv2rWJJy7SkVh1R1KnvTay iNh1t0uLBTkDblUv2Qz0aOrj3YjDGijqp8XvFj0WrP5nsqOVwkQDdM8XjV+U 0PDc51NVOBYckcmZy9jGRL88cau+flBAh1bU8J4SWBBTdEpc6hQTLRIs8x2/ ySKjpDsdj0ks8PkgfFesl4nEB69lVyhJoC1CCYRCGgv0NiXuXinMQt/O79W5 qCeKftv4v7nGYMEp51fNq5VYqNB9SMQEL4SyD62JusRigeb5HZvriCy0YvlM W6z3jKBZQu95Fo8FFYeS6EwWCx3OIu84UDEh2O0ktvOkGQvuJjs/8DVjoZSg 0Dx2Wa9A6sSE9DELFjzhasRssmQh/2v7aNkVNYKbrz88PGjJgpBzt0NUrFgo c7J/YSqmiW8rX+WRZMWCzacP1mesYKH2zXZrT+we4Pe43pyPW8mCW7Uiii0W LHT0zdbFjv0/+IkZJ/OjgAVRWWe0P3JZ6O/GC9v8amf52i0xjmG2LBDRF8hc orHQSJZtjWvDPL9Uddu3IHsWfNm10pNoykJPbZda9wwJwUYPhzN+Dth9Mxae x2hi/gtENfWHRGEyh7Hcx4kF+aGrluqnmegMR2larFsaKDpLhze4sOBSh6br rlVM9P26UJF5mwpcNrqqZ+3OAq5fRuFyJSYq8Ltg5mOrBgon2A10TxZEWG+q 7P3IQO74RnfKfXVI+VkTbbCZBVseF6m93sRAL6b583/itcC3fqhxyZsFVwt+ nJ3A8ke1Y48ieVofTEKp+2v8WRAdu2ublDIFbZqN46ir4uBWWWmbYzQLTuiF MVMukdHZ4lrVobs40DB2OmARw4LdSffHYwhkdFE+44uuLR6OnvhMI8exALeo EGPIICHNrxyP0EAC7PJZOCSTwIK3n471mmgQEKP1ZW94OgkooracpoMYvlK9 kVs2GyP75ffs/ljT4IFr06kNWRiv7tIbXhcbITu3W+TAGzQweLrN0i6bBR1C HoxeBWx94expI0k6nDaeHOLmsCA2d+JUxj59NFqLDtlV0yFiRsVaPZcF7ADO S9FFTXSNH2fXIcEETu7m8U/5LCCdoMqOZ2ugfREtyjauTLgmOpbTcJ0FGfI7 dqSS1dEerZyyLKxOqYYl2JbfZIEx19gverUKalPSbRjB8naGf/lC7m0sj252 P0lrlULx2yWOdQeyoHRowNGniAVPY58eb2wXR3ceH4Ka/SwgrIv5ufYJC2xz OOrRHSKooif1ZMIJFpx7KnFlZQkLbofm9ZBvzwm6L5xz2Ymdty+N/MuwnAXh qqwLj/N+CjqDcZTTD1kwOlORr/QMy+tN25Nj1MYF5DVt0UfKWOC1zWWtcBUL DhvPJlp/7BLUJF8774TNG192/Zl6zgJ7y4+c/pESwad+/IYPiAWW7PAb/di4 ZHeedHe0hX/48KcbpBoW3MkVcmvFxpcSto+WFwzxyS7Qa1/NAl2xrPnaOhb4 +VVSpb9N8mOemVwhYXbTw0wLiutZUBj8reKq+G9+XMmFl61PWbDwsXjDzQYW 7DipvStbb5Fv6kxPc8DiEgoO/842Yvme8+rUifPCkJzaFXiggAWdtz/dPvKG BVY7nshWF0hC06bh1g0nWVCV+Fdo1zsWfGzjZSZ/kwGz22JJoRiffj0cnjzY gsVV23tfB1MBcIH5YT+w+LMGWnovfWCBynKPZyx3FThVc7B6BVZHbqy+i1rb WaCekju94r4WLInQGJdDmXBCY2sqv48FgVVGs/tW6ABFT1LMxAh7b1Y7RWwZ wOrtdbmHwvW68GdYqaqsmQGLiTzfmCEWjOy9VrfQbACTL5+kO+ozIGJADu5+ ZcHBZ/5KM+4msDhcdSzkAA08H1UtaUxj+eu9T31E2hSmFWw+fVWgQcbA7R/s GRYYHGioVKg0hY0j+ZSJc1R4pZHT4/KLBWnFIptPaOLBTWh+D7pIAaukPYKD f1lA1BAPYBUSYaXjn62V0SQwcTZM+S7Choi7l5VeatPg9OinrNZgU/gxkPrv hSob3F+QvxWfpcE/2zEtSrkJkDTDvveqs2GnSFDTGnk6RPq4bg4WNwE/Z6/u eU02KI3sdCNg+qZl3KxE8awRfHzEfs7WY8Oa4vxbGQlMYJ5q/UQj6UJlUn/S JRwb1LKCfepamODQamNyJk8bfj1qDntKYEO4LG99mgoL5F82b78gowXMwQqf VhIbslJDnoT7YHgn7TiQ2KkG15zPWEvT2bA9PXLzBww3tRHvIrH7cnBM035x 7zI2aOKq+csnWFBd+TzxtLc01Dizvp02Z4NPyVkVIWE2eBQsf+MhLgHzSXpd d5az4R3+8ZYbJmwQvU+QWHvhH3/P4ExlrzUbUp6GrkpgskFu/wNK3Mff/ELN vnvzfDZcCm6ULMC++9yx8ZGtwhS/z7npooYtG0ZohTvxNmwooh27Hn9okK+T XJ7OtmfD958hx2dWsQH/tklw//RrvnvRzUQXBzbsP+inoOrEhvGsd8l4odeC U4OZoUHY/PFV3d8pjmywjDeosgscFLzUTN560JkNixfyH1ti9tSbdvmsl5gS CK0JcbnkguHy94Gu3Uo2sBOzIg62/xZYJntaPXVlQ3Ny074LWDz+JT2xuVH4 T7C3yJbW6sYGaWZA4koKG1Z8cRRvrRBBDwYZet83sOGURaf3flk2rP1ytEv0 gDQyXiO5YLqJDYcaPar3zrFgu5n4rd835RCvza5Fx4sNBqOsJX2M1xSlnyNV LxWRw/bUQmVvNhy5vXn1Iaw+/fk4/kJcSBWFRM+5L23D8LXvvT6OvbedqQcd BnW1UXHe+P2OQDbQCq8oXyijA6VpWeZjLxPkMPF2e2YsGy58KyBUu9BBTyT3 1iNpU7Q5Vs7s2D42bPz2/P7HLho8qZQ6BmWmKERotVxKPHZ/VGIjOkOFTNXl CSUyeHRareZpaDLmZ7rmPeVpMrwb2JAQkEFE7VbFyk5H2LD+2jENM3s8OEzr Zl8XpaGQk+dr/51lg0NRoLfIVRwcEkGdyw/SUKJm24XZc2zQZsgvdv4xhQoP xd3yizR0Kl85YuICG8TcfvxWv2YCqnWjzwgjdPSk5IRexyU2hIk61HPuGMKf o0rlm9KYaKErMabkJsa3bAX+I3MD2HLixzqZMSZS2FW+5l4BG5gjsx8R0oMb pcZrV5qwkPH0rPH122wYPnOp079eG2Jy9s4ui2UhB4nw5oz7GA8LhB6vvakK 9z7TS8+IstFpxg5iaAkbci6b9c2rqUD+eOh7W2M2uvb00qJfGRti8iZKOg8o Qd1uDYWbVmxUbNvR6lWOndtUfsegUAbSAzXWRYWyUbvnxlTHKjbEtn5cdila Eob54k1tqWw01nvac6WADQS/d5/NVoiBXdlT364sNloMeUNbVo3d93flyqnU ef7SMMWi6SEbmaSs+mzyAovPl4rdwv9m+MQDvqmPKtiIJ33wofZLNtQZ2tee +jbB/2uuM0qvZSOHM8//U3rFBonbmxTPPurh/5OPQHav2Giz/ry35GvMn7bK /q4fJXyptc33J9+w0e4Cc86/Nxj/o5gjdMEHQR7BvJDbzEbJ7L1Ss83Y/nU0 yVvJIwK68P552SY2ynj2qHv8HRteZD15XOw6LVi3y8txP2b/2qpvxf0tbOif zFkr1/VHEH2uOCUB86f4LTnt8wc23MPt6rD5tSToeCPx1gbzP8O0+ubfj2zY sVGjU/KIKAq6vamc/QDzJ24z0v3MhnmltCMx2TKolbSp5cxJLA6GR2d9urB6 sSo/u0NDAVlsm++U3o/FLcpAKaWHDWeFPNfdaFRCS6dNLIt2YPGvL6Fc7WOD 46e/Z4Rs1ZDhzYm8qxQM3z2D2/uH2CAlzVzImVNHg4kvNSdl2CikJiFedJQN f6sPO6s90ERCWrmtKaMYTzRUz+LG2LByQ87GO3K6SNFPqTs6j4UWqmwaA7+z oeTUBfXNb4zQvfytstdrmChE/gpv/BcbqE8rMn+eM0bJFzTXHtnMRA47zNbJ zbHhjK/2pUlfE+Q8j0bXfWUg45KmYPo8Gxrb0r6nj5mikRcPuJ/n6ah968Ll 8CU2zDb1bGtrJ6Ddj6/m1A9T0ap7XtIzkhx4dOnNunhJGnorV9N8e5iAjNao dS9ocYCfaqjZn0tDfz9d37KbR0ALl+/+0dflwK2qFTKdZDpitm0ajEvGo0/T tqp8fQ7Ek5rvEC0ZqCx316oBSRw6lRvpdMCYA8GhGbxPmI5wC//Hsv5phOa/ Nj8Wp3Ag5Or30guOLOR8uY+UTjBCH60Dmwg0DjypPyDzLoGF3t79+ZLxwAA9 zlwccWRwYN2qvHd7O1nIT0hcpNFXF+1aTtM/weHAmqvrk58nsdHSCzFJ2dNq 6OOx40cVVnBgQ+iHMKsrbEQr7b1c9k4FPe40usa05oB9QorndBUb6TWUes8r KKOTrKeVbnwOyFVluk5Os9GDgBevXonJIvv24aksOw44L/92jiHNQV+MygS8 CElkSEuWK17FAZVUA7dMPQ6iRT9Nl/skiv6mqBPbHDmgtAtiSyw5aL1SgfQ5 zpygiGi/VdOFA5FKC5URqzhoInFhuGh8SpCe8CXWwpUDvQ888PZrOajdNMsh GYYEu95GZXq5cWBocE8NfQMHNYs9+bYyrVFgZypzL34DB3AUIwOaOwdZWBz/ uG7xLd8gLr8+z50DIwZuy1du5CC1O6QH564P8/82WvRVemL2h83T/ddx0D85 k7KW69P8NoN3812bOVCZmC1x0YmDqvDiW87MzPEfRQVpLG3hgOl0neLoSg76 0FZvFpkvBOn1/1hGPhzYrvdf/jIuBxEl99+VlRYDiBxm62/H4hCnHPkHx0GP 81c6XNgjCTO6zRydHRxQtlTsGRDioPrAemohWwG2Rl7iqQVwYKZayicjl41k NYlSzBfqQNezspAK48DGXbvqauOxurYtzoAeogn99abLxcM50JkcIDiwmY38 zAL17OW0ISdS1lIkkgN2TTpVD+TYqO7Wu+73Dnrwr75jxcJejG+ERSWvzZgO nRt6lOZoDM2R+/mTiRx48OZYVwiehTb/enDHVtYEDurtgG/JGL5RNqsDMF18 fLWeWv4bEzB76WQzlorFQTuML/SPgfyWKbcNO+Lgsp6W3eBhjP/GDtPvxOhI g+akfVefCOEvSx3a0zH7kpEy5m4kFH766JZ/TBoo6c+sRRc58OWU/5XvhUS0 N/lsuEENDepefnGtuozhiG6+Nv9HQEmsI4k+bnTYF1W7ruIqB3yOsY59uYxH zjLKB4Z9GdD7Mmt98Q2MPx4zG2WfmaDX+3VDRTA9XxTF9ii8x4E7+xmt3/8a o3LbkM5EX6wP1tf2vPmAAzs2a0mTLYyR2i6yfCWmr3QahDZde8QBF6Ofnlqe hsj4UeXArgWs39V/t/liMQeEjbU2a45roZPvz3k8vMuGDQ17tmZUcoAka/QW HDRRQf2NK6nvsfcg2tPn5HMOfLeulfhwSR2p+lm698ywoUJ/5bYTiAObTt04 amyngirKNp9i8jhgEi3ve7iOA4M+EvPrM5VQV9opM02M3x/1Z30P1HNA1kR5 +FG5PDqkRcvYF8yBEw2dO5IbOOAaGGRd9FkCnXgnH3o+mwPT+vf8973hwC7b 2Mfn/EWR1mTc53W3MDwazuyMaeZAz+9tHkYflgTWXk/fRpVwYEt0QkDUO2y9 LOgg9csfAW99Q8G/ag4oGPgHhrdwIKkuneTUNSVQjIvQmHrNgZoG56DQDxz4 8fHJu87SIUHd9H2aUysHYqM5u4I/cqBx42fD8uJmQWCXzGaRdg5QDHSCA7Hx j6OXjvHBV/wTrV/9DDo40N0gHOKPjcabDvVsiBjkX7hRtzfvMwfORH8N8e3k gHpmjc4nvSl+/As1m9OYXR2H+MiN3Rwo6A6oLBD6w18ZNJe+iPl9TUt2n0Mv ByreKRMe9v/jrw8bzBzG4kIZz0te3s8BA9VPuUJ9IhDr+rTHGcPjcRXtP9og B0RO3Pjb7ioBcefrt1KLOGCZUZVmOIzFOXBbV0iFNHh21aw6ns+Baj/XLJVR Drx92LY/yl4J9ppeXqyN58A7yYgrf8Y50HohdGfkrDL82Vc6c8OfA5s7hG6N f+PAlMWnar8bqsBdUVcg64zVl3uZ97p/YPWntbma9///B6VO8WMVsTiuf1Je 95MDHXmtSWuP6MOIyYoSQhIbFC7+as2Y58CyB/52OUaGoHTU/8EFrN/N2XO0 49AiB2T+2vUe9jaC/lXHvj3Gs0HfRqsvdokDNxrjvRrHjeHAipbC75iOpQ0v /75VlAtGR39svj2Jg6fJO7Wj3zFhDStJiizLBYeQd/d1Yyhg9kzqmkEmFY7V iVpX63CBne7x2kWTCpdaJ+fW/6aA0rlsu2I9Lvgozl5fKqFCGK3mU6MXBc4F 450LDLiwSoPAOzNKA9Hui2PdqmS4peC46aQJF7h7VyuSMZ3Zk5WSPLqNAC82 n4j0onAhtFafrXeDCWmvNIIu3saDC1V3nwuNC7Qn3CO/lVnQYp0/uGoKBx8W 7ybzGVyQPjLpHZuG6cIRd/OOOFMYvNaUhudw4XYvzdFyJxvyIxhdNTuNQOSb 0q2p5Vw49dRz+ctsNiRd+fW7hGsIJwT59wZXcOGpQMASq2XDLlzxx6AL+qCc xXnyyZoLJ3x39kRj7/mAWLYkebMOGJm7oyobLiSfUUg4hOXPT5aKMuO2KvAP nOs4vpoLIq82VozUcuDlXq2EaAz/+o2kvsQ1XDhrNHz6LcbT8iwjlb8rlcCV UD4SvpYLWTVJY9ryXOj/Vrws6Kw0bHvdMeOxngs5BwotY4y48Lpx+8syHQkY vrR73mkjF4zLDj9dxebCF/L+ye0XRSAsYkHYyoMLwqr5R1dg59wInttHoP/m J6obKJp4ceFWusi8KPa7UdFkrobCD35TkfQWvjcXrOLKp2uxMeL0NrU10T18 A9fZG1t9uLAzjl6yfzsWj2eXToe3H+XvGev98f/5iPxfEZwvF1ZPez7OWegS CI68sTy3A7NzdIVmDfbdT2u21e+t3wVKpk//K/bnQsCdhoKNm7mwYkFim27X L4Gv4Pq79wFcOKLtNdS+jgtDtbaMt8f/CYq8T+v+CML4s+V8wgZ7LgRG+Nx/ pC2KRP7EB8qFcEEpBZ9ZvYwL948YLHOdkEAbsgOLyKFc2LI75SURh90v9EYB vlIGXWdtWHDYg/HH5NeB/t8caD7xZjSdpIzsg8lZB6K4YGo37hGSwAFWpW/z 3Sta6GjHp6pf8Vx4OyJlOYq9/09N1hcdiNFB7bG1UmpJXCgspEckUDmw9T+1 8TOOeoik+nAjO4ULTYvmH+feYvps1mH5qh5D1LjmyNfdh7jwdbWRldZvFgSJ UvZGhZgiuSqeel8aFpczYjLPTtBhaO8J5ZkmMsq6khn6+iIX5r5c1/wyQoPc /t57pBMUNLAiqWz0MhcGZbo+rQEaZL66+GezLRXx2neJSORzQfAq8tZ/AxQ4 1uTwftktGmpTgvNwkwuH9N8+c/1FhJD5j+N1FkykdfB7bcl9Lni0VDMGWESI fPnApew9EwUbdCi0PuQCL/QRqyCIAMu8Aw4NclioouKF12QRFyyl68eXN+Lg 4zehH3sFLOT98+IPSikXxJt3JSoGGYNPja2YezkbXd65Rvfqcy64XynRzz9i BAKJVymyU2z0Q8g8sAphuKLL3BYHQ9DUstiwgOcguGRS1FHDhb7KniMb7uiC ea5nSeBRDuprm3NQf8mFMO9k00pLNbjPi1mWSuQinGNh1Im3XPh45uclvIcK 7Ay2Zho7cdHegTNVBe+5oFlnqLMqVAmKboadRgFc9CIlRepFKxe+G593fGgq DQ6fE+uGznFR4FPPy0ufuGBTK33olY04SPWsDPa7x0Vl7rZf9Tq4QO6811Lm LQwPV7epv67iIqkpOs+ykwvV18WSxWR/8oMLjMM2fuKi22Txxr29XLC2b161 MmiE/2PvT/5CNxe16NnMh/VzQWYp0b9w53s+y/tl6rcBLlpQTKIFDXLheb25 2CudBsHYVcM/+GEuwouW+/gOc2EpVlX/ffWgYHzhU9ONIS5y/TVzymuUC+bb D3YfeD4l6NLzPB7cz0X7vrLQhjEuPDZbfdxEd05QpXFfeW8nF+V3hk6tmcDu NbBxfsBSCLlXPblf18pFjW8LTVZ950KVXsi7smHsfW+RF9vawEUzNYMbV05y oS3vT15ahiT6okTSXVHBRQalRv+ZT2P4VtT7dZvLol4Vopf/bS5yvL21lDXD hfDEPMOUlcpI2M0S5aRwUe7pD1qmf7C8uPBd5WywFopdere6RZaLYGtdl6QQ D+x/H61OoOuggE/XJGxGOShknZCisAgPbI4UO+O/66L4w/77lGs46IytFfwV 5QHOZqCyYachemeXUDYWxkHDpOJrE5I8MNf06nVTMkUqQ6s8tQvYKH32etB7 RR6mc+/TUtaRUeg+QXiNMxO1nzo0lWvIg0G9eJdT0hSU8Thf700JA4kcFJhk G/MgIOv+fyxEQW6kSJtDegxEjZnfeNKUB423dvS/NKEhCldz+ZouGkr2ji5N IfKgqYfjlVHBQJ+a/yvIY1AQjuSfsJPJg/2fWj97ZmC6lPfgcgcOh8KrbcUZ fB6sOZF4MBnT7YmP1H8Ee5ii88XJZkQbHmSLkg/bSHCQUpPsOcohE1RTUBFk ZMeD3Eln731RHCQ7dia86KMRUjvFaVRx5MHLVZk+rTQu6pujvJCu0UEVW0xO /3blwdnQgAuL7lyUtmKBe25BCw2u3YYm3Xiw42Rh/PF4Lvq5/eXCdq4mkrfJ nfq6gQfpV7S+PsR43NavOZuXo4p8iSrunZ48uKcqaHpoykMKi38zHWOkkMSM sHb1Nh4khGjRmsx5aGAlLmVitxj68+j8qUFfHlw71Nt134mHVqitoIZvE0Lj YUwxKX8ebFyTkeTqyUMLaTePjOf+EXRT6vdTA3iQ3D1DuefLQ+QWWVfX6EnB u5GtP1yDeNCtUZNWF8RDod3tZndP9QpqbvzcGRXMg2OXFN+c3c1Djds/bd20 fp+gZMeJDmwOT3ajywahPBSU7Xn9C6uXX2hg7FYexgOfGx+stwXzUFxr6M2c 1ZP83C9lLzrDeaBWcjPE3Z+HOmf1sz7t/8NPP++6QiiKBw8eyu0R3oL5aeYb 9WOjEKR4DD0y3csDt5YorcC1PBTBrUuhB4tBlEoiwTGWB4fN3lQfsuahE/l4 p8UEKdj5VuViyD4eJF1PXL2VwkOsd7H+pWly4Jl+W/lUPA/qDxE0plV5aHxw yq99jRKsXg1HixKx/W4hz3Z0cdGO4Z3vhtzUgFEbFvUnlQcNjHMidhguJ59F 7li3TgOMUsVGdQ/xYOv90ZDJC1yUvfzulnRnLVC1zvPh/8eD05nO5nWruUjd f/cTczM9+FPa4HTkOA8ij668t3AI08uwGFsxYQw1d0wN1bJ4IPOMva4qmIW8 eqsp0eJk8Mz6/Jr5v4arOx7LLgxnhUJ2CNl7vu+zorw3ZSUlEYUyEtKQEBWJ lkpWSUZlFDJTSoP3JKOspCgNojLy2WQV3/PX+Z3zO+Me132f68rGIC1pJKBd 2gAdcMluL/2kCVbbAkx33MVgrVbD8ctX9VHAo/SL47laYCzA+yQkl44P/4JP DaaHPgSu+DG5TgcUzmNZlQUY8DknkuIW2khYon+Tr4Y+/A6LC7V5RO+X7Piv IlkF2coZK/usYECEh7mqTy0GUtIdHNklyqjthtL5blq3B8h/Tb1Uj4Gku8Bl Rq0Sqmv4VnGM1nteXwKFi99g8PTMj8qOPgW0ZibyQQ0nE6wc7yxMNWNQefjr zRphGfR8reymmQYmiFovvIvqwOB3vwi3uYQUehCduX3dNBO4lyda3vuEASV3 SydcQhKlQdgPW1kMZqo1Kt98ptedqyJcVoii+TvX7d7T+P66fmeecDeNt3Zr w9cZXIjf0G5rUTUGuQYPIm71Y3DG7bVx/qol9oyQx6rUNgwOS4zPPRnEgHfV RPwWmsdYpm9et40+j80bBL8bwiCa9fpguM0wu/VNv27DAAbzXQFjv4cx8FJ2 Zonnd7Lnp9+38I1igF6V+nOPYeApL782a0Mly4D9KZx/AoPzeWN9cvR4Sh36 S9R+sg4ss5JrHMdgS6yBJzmFgdXSHMew/QTr+y9TYdsRDEQDA77Z/cEgWCAz Z3vCPEt4Zb9RHG33p52lzgdmMfq/CBa+vZ8DHJJDOBO/YXDLeOx99DwGzBmP w+VRPOBs7Wy7sxWDfQoG2zL+YuDLlc96VCYIjxV1rmgWYjA2WGLeugyHMH6k XtArDLGB8+/WX8fgccsoGuTEQa8zeLp2UBRUB3abyJyk7X6ov56LB4eg1kgj iTFJuHaNXWa6gcZNeAmD4MeBr8KtMm9ECoZu3BC8Jo1Bi8do0baVOEhOUkTN oAz8UklgvqT/oWsW+pp+gjgwP/Yu3/lBHs6Ffp96mUbzVuGStekiOOj3fBPV XacMiPFZSOwNA6jsYgFOGRwc8/yC/lhqwXNmuLZ+igH4vinqa9bCoeasxkSW tDZcM/9ah8wNQK942KNfB4exDRc4zPu1wTBat/N4jz5MJep+W6aPw/Pyb+n9 wbrw+NfF4Y0RehDpWvSeycTB6ajJ9Qw9AzAJfahiH6ENKaOF6KYxDkvLWZbn M2j9+jHkTlCZCryWKEz13oKDwkHpb3LdDFjDiH5n/1oZrs4PSZzeisPvrSIS 7XJMSLif6TH+WQkcurUTUuxwiEmJKghLZILKUtHgshkF+J5XcKHRAYcbJ7CQ G04Y/HFxm1yQlYFZ44IgQzcctghSUqpnMOhzUTfrlpWCKoWh0c17cdg4lfbq Cl3HPWFU9B0pSTjLo+2/zwOHtD0VXq2/MVjat6VsnlsUhN/e97jhjUN7HDs2 bjMO9ZE5Ci+PcYGm5/2t/w7hoGvr4Oe6Cwf2ighLR8kl1usMo9KJIzicbO3Y s5k+57RTM+Qia4a1v7NBZOAoDq62RTZOh3F4n656asfrERaPhMuxb8dwCBDy DzgThIM7Fxm+VqKLlWM39KEtGAetJfmj9cdx4Irc1XKY6wZ745WTxGt6Xvv2 mqNGKA7Ft2/C1fDv7N76lSmVYTh8yrsYk02fi30l8e+94hj7DFf6XNlJHO7u a/5KBdB2Up0vlbln2QosHZe8cNovC+/oAR8cDOVe1d39ucRmn3jxIuM0Drk6 sRIPXXG41OZWodLDhfY83iKfdAaHyboY+4wNOIRqKDF2V6xEabqHesLP4QDr c5SQJu3Xs1McxbdXISO/f2bHLuCwqTJBg1sMB3Ig/+rTlyLoU05sjm8MDuZC PAfmv2LwLLAoR+a2BJKULfbZEYuDJe+z/rJKDPSeX24UvbQalTuZvLGKw4Hn 3ZD8zTS6XoWCB4hAaeSQ1KJlkoCDMUdx2BL9/wdMjZTOUXIoYcXosMZ1HHy/ KXtVXWOCfU3x0dtblJDAnH7QYjoO6smJc/GZhuCBvRFPJDQRZ8eDyPxCuh6r 5sx6nAyh0Uwt0mu5FsoUMeu9VYxD03Y+/uaVhrA5dMnxY5sWAtu2jddKcfCu ynp266ABROd+7MQ9dFB4zcTy049wCC7Xbs1R0wN166Wj7Xb6aLaMGevwAoe5 wY3UwUV1eFCx/1w1g4FG4spvLjXS+TBVaxLUVAd240JlYRgDxTaa0/0cBz/N 8G++dmpwbnulj2oV/Y/xdrj+fkv3AcvFhKrrKuBtkHYvjcVEfhF/1ra/x2H6 l4Km2qICZFecv5tJ85efB8l797/goGYsSbSIKMDgPt5lXDQfic6r573zje4z XB2BphbyILHauKn4HIaUfjr5Xe/GQcVht0dMhAxU5G3zafiKIXeXUJ3IHzhw mzXH6FSLwhfOJD4fPxx9sX5a5jiEg+aTrwbld4Rhn7/RivsXcGS2Lcc5eBgH an9fkMesALS7PnS9mIWj+w5xi9dGcfjetL6+fCc3dL843MzVgqMTe703f5jE Aa/G8rsXl1g5b7IfpHThqHef3djkNA5vjKukEq1nWMZpYkEVQzjafMA4WWyW jmeH+q86uWFWvJmZg/s0jsqOqK1nzuNw8zJXYTt8ZGk/0JO/uoAjmWCRXvu/ OOzVmJIsuFjP3n6oXgsWcRR14u+FwEUccoTjdzN9+tm7pq3cg//h6Pfpft3E ZQQ4eas+mgyeYn+vOsfQncOR/bm29w84Cfg0cDKMTfxj61avzvYZx9HTS5Vh 77gJeLt39tSWeU4UfO6kqWofjhTi89aOLyeg8WghQ8iJF52/La7t8xFHF68n 1QrzE7BlbIjrLpcwci0PljldgiPnO34idoIEdLc3/y7VEUVMnuC1u5NxhO46 PDmyigD3yHFJ8x3iaG9E9KFXYTjSKGC5xYkQwN36dG3uDSmk22czbkfgaLZc Ir9FgoDqg5fXDYQpoM11HEF95zF0o/El2MoTIFw3Hdt8WhHJlvNWVdljaLG1 sO+gAgFPfRtc5Wn+XXKmLGLHGgzt77hx5YoSAb2Rw7quZ1RQdcPylPdZTET0 HPrUqEaA5T1OsXYnDWR/6K8n8woDdfyRDtisT0DhlRH8ziZNpC8Q+WPMhIFM /nJLHjAkoH2CtTVZVwtVBTmEPBsxRPc4xp7HMAl497BO/tCkNhLiPz2TZW6I QgTqeN+QBHD4/0hronWLhviGeyE5+khCKfC2JRDQmTV6+uA5BvoSvqJeqF8D Odg2tGzaTsADY8tTwu0MZHbAJcV7QR29sC8P2reDgPIJuaI6RSYqvWJ55OVK daTifEfmrCMBUVvUmGQZEzX+VJ6UU1RFU54h+1/tIkDp7v2+niKa3yqvErmr pIiSQpUWTT0JKLn4OLT5J4YO2C3n2r1GAc2HC+Z47CPgVUh4faAUjj6kq0Rl KMkjz+hZ6zP7CfCPdumsD8bRaMWptg1D0ohxteU6OkBAnv7fb7W8BIpbjjny WYugtuwTuqxjBCTHXc7qVyTQXeeJFcwTQkh02eOnRsH0u5XpxxcpAt362eri 7bYC7XAdNyeOEyDA8fHdXzcCHSB/5W1YzYk+iPvu0T1JQMPAMpUufwLN5L2O EupaYEsczf6tEU6A2fJSxbwQen3RunzbxUn2zuauEJXTdL7ULV46RxBIxeGe W4NrHztZU4ZL4Qxtp8nN/SNRBIp2kP1ZcrmO/fGcY9yaaAKePWD98DlLoGbx Kx3OeAdLqjd+zepzBHBeaA6pofc/oJQvF3cOsZxNmnJFLxBQ68r5lou+X26d dM1Pmz+sm6m8mFAMjVv1AV412h4n90G5nfmLrM9/zBD/ZRqfBb0F2rT93vG2 nhxRXCCzI2ILTywBrEclDyVof2ete7Q9injBpeTpp2VxBFh8EZ5LJwkU4ca/ bXhhFXz1MRifSaRxGyW0zUSBQBfMp9bNCYmCbI1/+OQ1Ao7oW65r4iFQQoS1 T6ecOLgp5PKPJhOQugF78Kyeruf+/a8FMSno+iSn1JdKgE3Xro0O6jjKHRzN 1paj+Yb1yh0fsgjw2+Qm5bebiY6oLEgTFerwS7vvUWkZAcY7B/MwcSY65n45 duiWBqhdVDQtfET3k7fu5+waGcjxTHKhR5Qm7P/p2pz7mLZH+/PMbUMG4lQZ WSfM0oaB9Pe/bj0jgEftJ17dbUBTsf5Y0St68FvwpWRsNQH2PDWjz1K0kXyR 4M1bugwYGU0L9Wsj4ITaKfQfrd9tf6W68UUyQG/LR27vDzR+lPpGzX9poiAj vajxtww4kiea4N5B17sVR8cvJQ00N/jFVtyXCWPuMflOnwmYdMJb1weroKR9 LywDaF03+S7ks3kvAdIKNQKlqtKod0tm426678w+3L5eaYIAn+jGbfbKq5Hp CZPKgwSNS4poEZsiYJ8gzrwkJ4EG5a8RCc4EKLyQcef5Q4CrkKdnE58Iitre svQviQCrmh/RA3MEeKSRyi+nBJHb28++G4rofVavJT4v0Pdw/tBe/54feWdA bPgrAgKaCnMb/xGQ/zhcZfdZDnTwUW7CRB8BNz8ENxZzkAASTxR1S+fZPhtQ uSJtR7Hzbrc7XCQs/ZD5U2o/wR7ztJC3WKT741eT0QQeEmJk3jk+6f3B/hMV NeJGzzvclc9E85KQoD5+KuNDBbvB2PSBDz8Jv3/yigXT49uynWEZHl9Ykeck d3muIGHR97+c/StJ6A4o7sDCR1hiy5PAlo8E0eFWwlmQhCc6WWcMc2ZY6cn+ Whq0HWpHy19br6Lv+yTnysu9DJrHE00n5wkwmr6521iEBBmlfVKXMG4oOm8u XTJKwNawiP90xEi4KtkkL+rFBxEHeItcewjw/OcZIS9BQvwQ2bzgIgw3mdVL ic8JuMSjk8UhTUJ+rc/G9MOiwFHgULU2h4BbMcLYpAwJjV/qBpROiwPLvoa8 R9dhmeB07U9ZEgT2tJx7nSIFXxR+NxfaEPBFomqwXoGE+cRfEi6ZMkAiO1VM g4Cxm1knnyqR4LXhndTze7JgU61Y+IqDrmf5C4IFKvS6ObL22aEAk1wGCkI0 r9JRszO8qkGCnb495W2kAj6mr6/8pnXWKaI31MGABDNehUw1PVVYZ9V5cjOt w+Of1a2wYJDQeu6gFaxVg+O/zA/1emOQY1KQTmIkpA913Z+fVQcrHd8znb1M aLIIQjIUCbpMjhzxC9qg0x2k9P4FA+SclvP1sEjYVPV89OWcAbzmD9mgMqkP Vce1bhzaRvs7IcAkab5npaJyskBXH9oWhDT3bicBy9gjcrjMEAJFbbiGvfSg 7/TkM7sdJNQeix4c8WAA317BGd4aHRC6+KKL6UTCCdufAhPZTGB/i3ud5qgJ e1K2qs3vofPoXhNUfp/WT1MrXL5+VISlisDy84dJUBU8outP86lFvrKD32oV 4OvysstZASRI+T6OqJKi/8O+6S4Zz7XwzGHcoyqQBLbF2kyZMPpfsqhYsFmS gaCxI0J/QkhYvc5aUYzOa0mFy1RDnRRsNyn5KRJGwq233akXGwng7zQ+znVJ EvSujDzTPUmCjpZR81sadxa7O614eERhQP2Qj/dpEoxNeeOv65Dwas2JbO6T q6A2uHDDmTMkHHnr7YnMaXxZRpyAvhWQ9WpILCOahMT9gcU2LiQwJwVTg7Ys h0gR7d8V50h4earkMPMQCZfkG444F3OA294D6MMFEgKikV4Q/f4xKa3DVtLz LKOi/OSxGPpdTyGBledpv1ufVCi2jrGkFgYOClwh4R3p+HiaHm2O/+Vgr+hi TVtpbNS4SkKexZoARjwJ3/99L0jpfMFuS/aR3kTP2X+EV6E4ElJ/5PFfNulj l/y8N7o3kYS9nbv+ZlwmwYDr0KrugCn2FUZf7clrJOC3q7Am2g/Z0b1NY+gf +0CkavqNZDpf0/VWNqEkbF8UKeS8wIUsW/YFPkwhIdmk2lXWj4SHz1Wqd2jz IRXZHKu3qSQ4ad3XMN1J15nXgtWDJgHEeeCH/FA6CUpR8flxqiS0fXk9+4FD DL3g8WxUyiShomd5CZvuKy/GNNcN2kigmzsyM02ySQjlTRSwo/vXqk8CeiJJ q1FI5vfju+/Scbd6+TQnhYCvT0ujdFfLIoMNe1US80lIeuTc+7KN1mGdCzk7 Q5TQ3SDXcI4yuo4+Xc27loJD9zkuxaeXlFFUddoOuUd0Xsgk/b+7cWAFLeia pKsgd+Evmusek6ARmatZ3I7Bh20imlyP1ZBM4a6OgGckuOn9p/KCxnOTE9u2 k62Frv7Yqf+9mgRrdyeftUUG8Fy20buO2xCF2m/vqXpP2xOk9y7V1AA+lfTY hB02RI534p98bicBZRXYj93TB9M/+5rOthsixsjb2D8f6bo7LW9DdevCjKRn jlcaAw3HbDXS+0rndzju8pikFhy8uTLvEjeGPF/aJGX8JKE/Zv6mc40itF16 kWoDBLIxsDA/NU2/e+9CwodKBdgq9S1uVTCBlrW3cwTNkFCTPWT23G8tBLUf Xd18j0CPw7yr/OdonE2FeW6h1sCIyAY9KQ4SKb06S7r8o/OEjuu7SkvDmWcc h1M0SfTJR3zKfokETqblo9w/kiDD2pw9s5VEVwVySjdzUMDwFxuVzhWFShPv 0fXxJJp3fKVpxENBaXDccPsJYQhlSklJF5KodN6+z5CXgnSWg+nYDQEYOXzV BdWQaP/t3ixNfgryF6va17/lgm07vkt5/EeitgEOWWlBCti/tFf+17DI2lL9 Ts5hgUQXYxM+Ca+iYExVbvzZ+DTLgr/CgYeXQiYMxet8IhS8Pd5FYBq/Wclt zhmBqyg01VG6fZkYBVIHvR1nm1pZHdvFrVPFKXT/JAjNilNQ8VeiMa6qjX3v PGPNSUkKuSu0NoxKUjAkM3S/UG2IzcGpaC0uQSHJ2r0X+qUouHN5i2x2yB+2 qnLmCW9hCjX5jW7slqFAMFNVx8F5iX3qVd+bw3wUihI6veyjLAXBWWVPbq7h Rlc3574y+Eci6qFQZYs8BffvKEbyxPChvarSPoUjJBpxuhVWp0CBf7yK88Mi YbQgvfSjo55EuzMrJ8pVKGh/w/UoqVsU8Raem4kpIZGwhW1JkRoFS7p+Fzes kkCYQpDGUhKJ6n5/9b+rQUFi1qDv8/3SSCqI02jDDhIxsL8/r+lQsIPIf8g/ o4C8GO5aEQUE4q83+ngMo8Cia8+jWU4ltKo7dHV5GIGq/BuS/Ak6v7scsdsC yqioj8I+bCJQkPBuOy+KAquu1qeRUqqop2s/1fcOR993hb2xX0/BgGGO+30h TfSiNfS0/msMVfz35LnhJgrEfrWuNNU2QO/VDpi56jKQryh+Z3QHBY38Qu1v kg3QtRq9lLUthkj+SY1rvyMdN6m4q4rLDNF5r/q8/QcN0QcXB+luJzpuAvNW XE2GaEWR99zDTAMEd48ltrhQcCrgoD6vJROlTHiOJ/XoIimq7GyRF52v1V0Z 3VU48o8yN3rqoobq3fT9/I9RYPREruE+H4F2m4CCzgZVJOrl+zwjmI4/x+/6 2q0EKn7cnt0qo4L2+GYKth6nQD0y8trTtwT6J7sr52ijIvoTKFaGnaJgIqHk pHs2iXocCz+uXiWDVC7OzP87S8GjLZEzh1pIlBJ6z2Tx9moUEGtga3CBxrNO 7aPQaRJp3rQ6HKgjgZ4n+t32jKEg1XCNiR9Joa1fa6cL1gkj+4wvG+tjKehC EfvM7CnUxiUqcjVkJbqVJZ48F0eB2+ze6CVfCuW99fMngpajwVzbAe1ECrRW Ci6IXaLQLglxz+iaWXZkGftKfDIFk0lnjPddoxB3uoK51/ZhdtOT2a7qFAqK 7q0zv5RKoed2mUx7pTb26kpDw+lUChRcL209m06hfNHbf4/6drA8qw9Eq2dQ EP/xu9l2er+zbFOd/clRVnF9dvuu2zSuLom8GkuikPqe6thd3+dY801f1a9k 0vVYclHVK4ZCVxlxikbLOMGiTeJEVTaNt0mXkPwTFPrsLBGsIMQLiR+3No3d pcCP2nC81odC9WaqBVzSAvDt6wV55TwKbp3ZevupHYWqmtO5ueOFQaMXBTje p+DZTIdMDE6hu5sXtTRFxCCof676QiEFg2svbWqYINErR8FbuSukaH7j7/Nf KQV7XSz1D68nkcey/DXb+hXAiNeutPwpBb/eLta2cpPosfqXpyXSSnBeIIZz 4DkFFHSC6RsCZZwfN8esleGdSLWDTBUFdS/k8EALAs3fEAnpvKUKvrLYXEQ1 BXzOL8+bi+FoiMjbx7VWC24YSplZNVLwL6lT34mTgdwUhwP1VAxhyuX7+89f KVjt9V+9f4IhOpHyjT2eagjgIa0m2E1BS0u+wFE5Q8TpkLayWYgBl/fbh7J6 KGjKiK5M1TFAf1zn954cZoDS0RrZnF8UsNRL1lrs0EGfc0XTMs9isP18nveh EQqyndykfmzSRtMyGCnQi0H65Z4nt8coOKAwfrbEUAvNOOV0LxjjMBAvs6Jt ggLvsHvCcf/UUYJ8tZf2Lxwi064UEzMUkD1Re5d9U0OW7l4bbTECmu7ULvOb o2C4jyPQrUIVdb+6uL6C1s+r7y3apy1QUPigFD7GqaD6TU8799TT/LyAvNv8 jwLFgJrg217KqLhgyAKjdUJxacDM0hIF/wO3B6w2 "]]}}, AutomaticImageSize->True, Axes->True, ImageSize->{363.0398276352824, 261.3800478279218}, PlotRange->{{-24.61139384153296, 23.56326962152403}, {-24.08781595214409, 23.043766434227727`}, {0., 24.99999948979592}}, PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}, ViewPoint->{-0.4543798391927153, 3.3132257597767993`, 0.5158236389374345}, ViewVertical->{-0.267157457860285, 0.44255370966792174`, 1.6589581412591394`}]], "Output", CellChangeTimes->{{3.461025248400823*^9, 3.4610252585884657`*^9}, { 3.4610253187364883`*^9, 3.461025374400661*^9}}] }, Open ]] }, WindowSize->{640, 556}, WindowMargins->{{4, Automatic}, {Automatic, 0}}, PrintingCopies->1, PrintingPageRange->{1, Automatic}, FrontEndVersion->"7.0 for Mac OS X x86 (32-bit) (November 10, 2008)", StyleDefinitions->"Default.nb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[567, 22, 1168, 33, 88, "Input"], Cell[1738, 57, 2299, 46, 611, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[4074, 108, 1670, 46, 103, "Input"], Cell[5747, 156, 2305, 50, 527, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[8089, 211, 1620, 45, 103, "Input"], Cell[9712, 258, 2218, 48, 525, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[11967, 311, 398, 11, 27, "Input"], Cell[12368, 324, 30583, 508, 448, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[42988, 837, 440, 13, 27, "Input"], Cell[43431, 852, 62019, 1024, 429, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[105487, 1881, 351, 10, 27, "Input"], Cell[105841, 1893, 3960, 71, 315, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[109838, 1969, 495, 14, 27, "Input"], Cell[110336, 1985, 53139, 877, 276, "Output"] }, Open ]] } ] *) (* End of internal cache information *)