(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 8.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 157, 7] NotebookDataLength[ 570139, 10541] NotebookOptionsPosition[ 561811, 10395] NotebookOutlinePosition[ 562222, 10412] CellTagsIndexPosition[ 562179, 10409] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["\<\ Undamped oscillator & PID for disturbance rejection & command tracking \ (Problem 3.2)\ \>", "Section", CellChangeTimes->{{3.510432288913591*^9, 3.5104322948525543`*^9}, { 3.5105367736963882`*^9, 3.51053678500532*^9}, {3.510539713993991*^9, 3.510539714456819*^9}, {3.512583743179525*^9, 3.5125837533268957`*^9}, { 3.6762455646348352`*^9, 3.676245568192129*^9}, {3.677187569186164*^9, 3.677187594942622*^9}, {3.793322188594365*^9, 3.793322197693276*^9}},ExpressionUUID->"9bd9fefe-f8f2-4dd9-bc09-\ c38d9a67cd28"], Cell["\<\ \[Bullet] revised, Nov. 6, 2022: \[Dash] miscellaneous code clean-up\ \>", "Text", CellChangeTimes->{{3.716613652345023*^9, 3.716613661762876*^9}, { 3.716635650557143*^9, 3.716635673813285*^9}, {3.793904900379339*^9, 3.793904916165039*^9}, {3.843071915202323*^9, 3.843071961225065*^9}, { 3.844255613422617*^9, 3.844255654635604*^9}, {3.8457406313604803`*^9, 3.84574067346458*^9}, {3.875643242184225*^9, 3.87564326428683*^9}, { 3.875643298696796*^9, 3.875643322222205*^9}, {3.876788557827038*^9, 3.8767885639304047`*^9}}, FontSize->16, Background->GrayLevel[ 0.85],ExpressionUUID->"4a8c5201-3d4a-4358-b238-bc20c98bf3f6"], Cell[BoxData[{ RowBox[{ RowBox[{"Clear", "[", "\"\\"", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"tmax", "=", "10"}], ";", RowBox[{"trange", "=", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tmax"}], "}"}]}], ";", RowBox[{"d", "=", RowBox[{"DiracDelta", "[", "t", "]"}]}], ";"}], " ", RowBox[{"(*", " ", RowBox[{"d", " ", "=", " ", RowBox[{"input", " ", "disturbance"}]}], " ", "*)"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"step", "=", RowBox[{"UnitStep", "[", "t", "]"}]}], ";"}], " "}], "\[IndentingNewLine]", RowBox[{ RowBox[{"G", "=", FractionBox["1", RowBox[{ SuperscriptBox["s", "2"], "+", "1"}]]}], ";", " ", RowBox[{"Gtf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"G", ",", "s"}], "]"}]}], ";", " ", RowBox[{"K1", "=", "Kp"}], ";"}], "\[IndentingNewLine]"}], "Input", CellChangeTimes->{{3.512583870682418*^9, 3.5125839542590017`*^9}, { 3.512584024671331*^9, 3.512584027989682*^9}, {3.5125841211889*^9, 3.512584127296365*^9}, {3.512591589001939*^9, 3.512591603624406*^9}, 3.512591701660733*^9, {3.5125917993240232`*^9, 3.512591809132443*^9}, { 3.5125924521094418`*^9, 3.512592453502307*^9}, 3.512592692473535*^9, { 3.512593887458066*^9, 3.512593888716017*^9}, {3.51259461270013*^9, 3.512594622096017*^9}, {3.5125948116628113`*^9, 3.51259483773976*^9}, { 3.525484524756365*^9, 3.525484535149781*^9}, 3.6762503250439157`*^9, { 3.6762561183589163`*^9, 3.6762561185417137`*^9}, {3.67625941292187*^9, 3.676259430759695*^9}, {3.676389041170067*^9, 3.676389067424848*^9}, 3.676389101065217*^9, {3.676391100452928*^9, 3.676391108995421*^9}, { 3.676391217033957*^9, 3.676391220440343*^9}, {3.676391268040085*^9, 3.676391275278243*^9}, {3.6764881379502897`*^9, 3.676488162707871*^9}, { 3.676497088101334*^9, 3.676497134019588*^9}, {3.676497401187972*^9, 3.6764974056105127`*^9}, {3.676497724523225*^9, 3.676497724978266*^9}, { 3.676601115668239*^9, 3.676601127137619*^9}, 3.676602873260806*^9, 3.676602920963943*^9, {3.676602968557851*^9, 3.676602969437344*^9}, { 3.676605708557879*^9, 3.6766057086604757`*^9}, {3.676841872402276*^9, 3.676841872575727*^9}, 3.676841921782186*^9, {3.676841981243576*^9, 3.676842001549775*^9}, {3.676842124929678*^9, 3.676842125057537*^9}, { 3.6768421644013443`*^9, 3.676842263012306*^9}, {3.676842328199706*^9, 3.6768423577905397`*^9}, 3.677203813028906*^9, 3.677464346208149*^9, { 3.876788570730226*^9, 3.876788571395389*^9}, {3.8767893898827*^9, 3.8767893986280413`*^9}}, CellLabel->"In[1]:=",ExpressionUUID->"65e98b6e-d892-43a0-9c77-4d90f85fe95d"], Cell["Proportional control", "Text", CellChangeTimes->{{3.676256123319852*^9, 3.6762561340117064`*^9}}, FontSize->16, Background->GrayLevel[ 0.85],ExpressionUUID->"9a119fa1-f177-4d48-8fc4-7c40cf1badbf"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"\[IndentingNewLine]", " ", RowBox[{ RowBox[{ RowBox[{"SG1", "=", RowBox[{"Together", "[", FractionBox["G", RowBox[{"1", "+", RowBox[{"K1", " ", "G"}]}]], "]"}]}], ";", " ", RowBox[{"SG1tf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"SG1", ",", "s"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"negT1", "=", RowBox[{"Together", "[", FractionBox[ RowBox[{ RowBox[{"-", "K1"}], " ", "G"}], RowBox[{"1", "+", RowBox[{"K1", " ", "G"}]}]], "]"}]}], ";", " ", RowBox[{"negT1tf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"negT1", ",", "s"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"y0", "=", RowBox[{"OutputResponse", "[", RowBox[{"Gtf", ",", "d", ",", "trange"}], "]"}]}], ";"}], " ", RowBox[{"(*", " ", RowBox[{"open", "-", RowBox[{"loop", " ", "impulse", " ", RowBox[{"resp", "."}]}]}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"y1a", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG1tf", "/.", RowBox[{"Kp", "\[Rule]", "3"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], " ", "\[IndentingNewLine]", RowBox[{ RowBox[{"y1b", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG1tf", "/.", RowBox[{"Kp", "\[Rule]", "10"}]}], ",", "d", ",", "trange"}], "]"}]}], ";", " ", RowBox[{"y1c", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG1tf", "/.", RowBox[{"Kp", "\[Rule]", "30"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], " ", RowBox[{"(*", " ", RowBox[{"closed", "-", RowBox[{"loop", " ", RowBox[{"prop", ".", " ", "control"}]}]}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"p1a", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"y0", ",", "y1a", ",", "y1b", ",", "y1c"}], "}"}], ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"u1a", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT1tf", "/.", RowBox[{"Kp", "\[Rule]", "3"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"u1b", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT1tf", "/.", RowBox[{"Kp", "\[Rule]", "10"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], " ", RowBox[{"(*", " ", RowBox[{"[", RowBox[{"=", RowBox[{"2", RowBox[{"(", RowBox[{"t", "-", "1"}], ")"}], SuperscriptBox["\[ExponentialE]", RowBox[{"-", "t"}]]}]}], "]"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"u1c", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT1tf", "/.", RowBox[{"Kp", "\[Rule]", "30"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], " ", RowBox[{"(*", " ", RowBox[{"[", RowBox[{"=", RowBox[{"2", RowBox[{"(", RowBox[{"t", "-", "1"}], ")"}], SuperscriptBox["\[ExponentialE]", RowBox[{"-", "t"}]]}]}], "]"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"p1b", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "u1a", ",", "u1b", ",", "u1c"}], "}"}], ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"GraphicsRow", "[", RowBox[{ RowBox[{"{", RowBox[{"p1a", ",", " ", "p1b"}], "}"}], ",", RowBox[{"ImageSize", "\[Rule]", "Large"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.676249895364493*^9, 3.676249952859128*^9}, { 3.676250078936203*^9, 3.6762501753561983`*^9}, {3.676250267749674*^9, 3.676250338091148*^9}, {3.6762506936720343`*^9, 3.6762508529918823`*^9}, { 3.6762508917284107`*^9, 3.676250938069023*^9}, {3.6762510186394672`*^9, 3.6762510234710913`*^9}, {3.676255994020452*^9, 3.676256039711348*^9}, 3.676256116897809*^9, {3.6762567229744873`*^9, 3.676256731357649*^9}, 3.676257828382625*^9, {3.6762588568670807`*^9, 3.6762588673601723`*^9}, 3.676259292055314*^9, {3.676259435256177*^9, 3.676259452240838*^9}, { 3.67625955505368*^9, 3.676259558603372*^9}, {3.67638913777337*^9, 3.676389189752734*^9}, 3.6763911138705683`*^9, {3.676391144187562*^9, 3.676391153918634*^9}, 3.67639124215591*^9, 3.6763912881463118`*^9, { 3.676488167677823*^9, 3.676488170171958*^9}, 3.676577443596999*^9, 3.6765774745947742`*^9, {3.676605685256126*^9, 3.676605690239094*^9}, { 3.6768190111166*^9, 3.676819118661612*^9}, {3.8767886094751*^9, 3.876788635998549*^9}, {3.876788754103324*^9, 3.8767887774259233`*^9}, { 3.876789299729479*^9, 3.876789300733247*^9}}, CellLabel->"In[5]:=",ExpressionUUID->"5d542e41-ff5d-4be9-a72b-e39fc92d684f"], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVmHk8lN8Xxy0hIsyIwixMRSlaVFrPtUQLCYmQopLsiaJ8SymFFCVbRYlS SVlaCI8tS4SQJUv2feZmn0H8nt8/c1/v13Pn3ns+53POc1+Pkr276RkBPj6+ LeTP/8enV+2FN54O2cP3pEXo/2NxHdPQgnkO4vIqXU3JcaEkL4DJ9AWnEw3S MuT4ND+UIcQMAgXZqJhmRhC47PZ2nWbEgN3RXXIm5Fg36xjxl/EaZrPpO61p r0GkpUuFzciCjbGfqmKXZcHz7/Hnhxnl0JFw1zB9qgxS3we1uKj/hkft9bvF vJvhLPyMGfHsBlr7/Vk+/S7gS5jKbgnphtRKV+cLVl0QvUix9XtiNxhn7Pj0 260Lysod6K8bukGFZpxyO6oLVI/MJZzZ0QPYRLns2EAXDDiqpLTz98Lvj+fX 1d/uBqcH/+XVhPXBgblJuR+5PeDWu6Y7M3UQDu8oWasn2A8dts2LC8oH4aVk 9m4R2X4wa7qj/qNnEHb/WFKdpdoPWhX9vr3yQ3C62m8r26gfBNOSpGRvD0HD 6MKnkKh+iPZT2nPpxDDIHF5x7YnKABRQV8Rsl2LDFx+JDR93DIJmaFneXjU2 bKxjBxofJPcR9ukx0WfDri6/skbrQbjLa9Bw8mPDnneiv9P8BuHon4iS2AE2 /GdZMBecOwhDb6QmZvM54EpVySjdOQRiSjdV/mj9haInelfoa4ehbFe4xtW9 f0G/71Ka67ZhCLSM20Yz/QsBda8n3+oNg0DYFwNr578g33v/5qTtMMzMj5xt fPoXikWdmr8+GIbhVvPkaoFRUFXwaF46PQyV0Spr8itHYdLNSSs2fQSCMzU3 nmgehYeS2sdzckdgX4329vneUdgcUxtXWTYCxSI2+3ctjMJYiafV5/YRyLkY du7LxjEQuxzelSnKhndHeK8/RI6BUkio3QEbNtyTqlj7/OQ4aNhm+X4aZ0PW NtrHQ27jcEFY8a3hPzb02LrD3JVxeHzv1kSlMAd2vqMesYgah/gOmfSQFRwY 2G/zn0TVOKTwssT493BAN4Bd7btzAu4vaS4vvsEBtzdgpbJ/AhYssii8YA7E /gzvqT86Ae7ulkJyDznwl7GVp+E5Ae1a/PWSLzgQl3NVuS95AvjK0d2JAg5w JyW9TWUn4fTFCErgLAdYNPuFBdYkTG+sTDQVwHBILzPo3cZJqI+7Er5YFEPS A8u4xUaT8O+bu8MGWQymGs9L8wImgdr294K7BoarR8dNXMIngftxjXHgFgyv /9vbuiJ+Eg5mbD0euBMDX+XgX6/sSag9MvtP2wDDO8dN8mqjk3CqxLP05XEM TfdvJjbNT0KxeViq8CkMiz43qAeKT0GWX/szY0cMVkJXdDtVpqBLWP/hE08M ixOKXKJsp0B+n/x+5UAMm8uXTeu5TMEvt3ja92AMtn/PXh/znYKtkeu7re5j +LhHPNLo0RRcF3Xati0ag33LEUKwcgrUvW7n/U7GIPa40/V88xRsinyZ8jkF Q7qVm+Kfvil4Kz1pdPUDBsHft32z+aeh72Lqs7LPGBKbsjef3zYNba8u6Zl8 w2AYbdDVrjcNQzpTQVfKMExY1IcZmk4DzOa736/AsLeRzVZxnYa3q8opXj8x 9P1iJrcnkOstDfLa0Irh3qN3Rw0/TEOEttHlV+0YtprvEMrOnQYb88sSizsx 3K43s3/UNA0qN57W3urFsCGiQ0qwbxrolb8XEvpJ/cxcCY/xaVhxTDLt9SAG 1bpARcOlXBCKG3l0gY2h5gG1IkuBC8OBrcVbMQYf02e+Kmu4YOhywq37LwYm Zb3qo61ciFExDPcdw1D+M6tBQI8Lxzuj1vPGMXiG69/yMOFC2yNdXftJDPIm dZvbbblgq324NnMKg1PNSFiWLxe83MJsZHkYKGG+oHKbCw8HvlmsmsGQbSzM iYjgQvGBk5W0WVJ/yYdPBBK4YBR+MnuB5CXVjIMe77lw/kupUsUchsx7Kby2 HC5czIkU8P+HwebQ9uSD37nwLKbKhj5P+mNpydGsRi5oGnpseElyyg9TIZVe LnjX+P0nt4DhSOifjIgxLrxWntT1JHnO0MVegI8HMvA74BPJieI8KQ8JHswo rd/dQ7JR5S2iTZ4Hz0o57rMkT4VQ3A6q8uDgOqbiHMlxB+MVs7bwAAwLtftI 1l+yrmK1Lg8KWA0dWSRzvn/xjThMrv/ehneR5MjgvaoCtjy4OnQ0hEbyngO1 De7OPNCr/Rb5jjxvn+iJW20+PHht/0ZBheT75cObDwbyYCxKSD6YjFcryKfr y0MenHJrCm8g9ejYJxS++jkPdLpYAeIk31n8ACJSeVCHB9hqpH4byugc/hwe WD1UrdUk9W66/faJezkPFMu7NVTIfPgbaB1sa+CBTaiCiCCX9IfIN96BHh7Y tdZYlJH5qykxSf4yygO39EXKl8j8+gS2H129wIOyJV/OSE6Q/tB3FooQn4GM nmHlcNIf57/dtHdXmYEnf1pETUg/0Xv0hac2z4DR5y8rU0m/VQiIvvFDM7B6 5nPy9DCGVSh0NOjYDJgZVo0bD2CotTV+JOUwA6rPc/Ns+zBc+096e5QnySPX Zo71YGjOfuSfGDIDH/D6ymUdGAKbLVaqRc9AFnv0TEMbWe/cFWVpiTMw6rLd J6AFQ+iWOEkidwYmfAWXvmjAoP3hZVwznoGTjy00uWT9caocdU7OzQCfx5Iy xXIMj9lr+/oWz0JTy4vu9SUYJte+Xz+hNAubF23OXpZP9q+kzzlLj8zCu9Nx 8nPpGI4W+558dHIWVucfYN16T/aD7p2LFF1noa1sV9HMWwzHmfkH1wTOgpRr Qs3bRAzSj8t+636Zhcc/DCxWPcKQlxV89XvxLKidnDSmhmNwbjJUNvk5C4Kf 9mP2XQzflv08Zzs0C/e2Rq05dxODb1gz10dxDtZaxhReIvtd560h2VT/OUhP 5M+YPkD2i8SUbM3QOciwddqWthfDziI3268xc5CkIBFugTA84htPKkufg1t+ UOdE9uP9V2Y1u3vm4Axbcv4tHUOah7jZ8v3/gLqKqfuEzYHKWKrvu6P/IGQ+ 0S66jwN9xfLxOqf/wc/wtD1X/3BAfsWaYZdr/+Ccaq2ByE8O3CzYG1Dw8R8Y D+jQJTM4cJRyLcNJeR4kDM4rznhywGNXYPOCxjxoLS5zinDiQLBD6ELE7nlY 676ndLk9B4jsxwcJy3kojj5U+ucwB1RPfemm3p+H5Hnrd2fXc2AmY5SaOzsP TE1VmzNdbJBp5243FV2A9DP+wy+a2KC+mO9kv+wCxO0Tm6usYsMpm6Up0psW IPnVpdz2bDZULlLTc3BcACu35SH8D9gQZ37aS/LXAqjudn9yYBcbnl9xHtpg wYd2a7Wfol8fgQ35otzbx/lQXUNo4z3vEchflCz05xQfKjn7zYV9bgQ6QnuY oR586O0+V3lv0xGgPztuMRjEh1KOCx97rzwCscXGxc9z+NCie2GyDcQwPJDQ jKMo8yPxN0MayuwhuBE/ZzIxwo/6QLYudBl5L9vw5bzaOD+KruYPlRUeBHrB hXB7Hj/q1H6+NmxqALK7hmpqhARQq9xGzaONAzC2qtn4HV0AiZpu9VGPHgD7 lI9GDocFkKd4udFyuQHQznLb35QhgFzWrmhbLtYPfHUdKOeyINKy0XCWLO2B 1V4OPkfWCqGzwxfP7PBqh57JqKNLcoWRukrFYHx7LRzodfrvwfnFKKWL9Zwh /AkO9YSp0eliiMsu0uW5E8RQkb1/2bslaOONuPpa4XpCXbqBpntCAl3fYD5U sq6D6Avtu/HojATi/fa7+FCng3gqNt3f7yyBkv62NplbdhDii5an3/WRQLUn BUe+BnQQQ1PH9BvCJdATJ5n2Jb87iKTWNrdzxRJI5Vf8jfc3OwnF5F7i/pql aHmYkuWbn12EGEzatY4vRbk78v2iDHoJH23VxZ9mliKc8tlf2KaX6NO1Tr3P L4k8JmTbz3j0EoX7CmZ0JCXRumut5yaje4nLpqEPX68luU9D5ehgLzF8ZtW3 i3aSyFLSWl/6dh9ReddcVbpaEm0zbpES+dRP7Lh/p2rolyQ66dX+63RZP5Ec /tWruFUSWY3sUkv73U/cjFQquDQkiYIb3MyWLfQT9JqpdVhACu15Zr1BzGCA aGgu/GZOl0KaLvy1sXUDhAHbalrZXAoZH6m3+9c+SMTJBNRds5RCL2207Mo5 g8TEzrfvW62lkDs9SyRgfpB4Fjx7NtJeCqVQtysRtCFiRuVJk6iHFJp8beh4 zHqISLFvy/obLIWWp4ZbSNQNEVJNJ/zy8qXQH0txbbXMYcJh4balQrEU8mcG WUcXDBM5qz9o+pRKofGK0w2jVcPEOW8+9sYqKRRPtSs+NzhMFFKeH09qkUIB rzpOudBGCC+jrj13p6RQ2cPU8szrI0RT4Wl+q3XS6HhwYOKKnWzir/Zv+f80 pBHn+OJlBnvZhEiBseazTdKI0P8eaG/MJrYSO872aUkjWdlJs1On2ETEV6kf nnulkUTblvaQYDZhnJkTHWIrjZQ3tc15/mITDps3pafaSSO5ZIEL/7Wziavp ryp+npZG8sq2N7372UTKhwfzcs7SSDeE4aDOYxNi7xxPJ16SRqekX70oVOAQ JUkyG3LDyP364ic9jnOI9pXB+zseSqOLw3ajpmc4xOSLBXvBKGk0HT27W9mV Q6xMGHq0/6k0OmdO/3zHj0PciMuf/fVaGm3bPPfSK5ZD7IlyKeUUSqPCK3+d i2s5xFHZrg7pEmkkYnrOwLeZQ7g+spjRLJdGgV7WaxQ6OMSThzrrr1RLoz0i MpxVbA4xc3/5Q5FWaZShk8Y9KoyJj3eKbZmT0ojeJrSbtQUTyQcqlt/mSqO7 aqauijsxESteW8uelUbzh3eILCBM+If90f8qQEGDsSud/A0xYRg9o35UioIi /Q/dvWCPCbDiH8yhUhC71eH157OY2KS4+AVLjoK2LkqW6XXBhNyzZXKjNAqK WT9cOnsRE12vNiyEqFGQo7a99vJgTPw6ty1rTJ2CFA+mur+8h4kytT0Xjm2i oHTqhxraQ0y8e3+wf/V2CrpsrUAre4wJn88O1QX6FKSvcPWaWAomnH1dg1QP UFDV+TPdne8xYbvTS/e+EQWpXLlvm5CBCV3i+mebIxSkwxy7256NiaWlT+Kn 7SioW/TPOd0yTPAHvThme4aCPhqWq5yqwMTEgTfUb44UZLA1oNO5ChPNVZ9v P3CnoDepf3Zr1WOiMixPm+dJQcyKve2zDZjIM/02e+IiBRW7GnslN2MisaHW ff1/5Hy5sv9y2jERFd28JsKfgsZue2FWJyaCrTq6ZwIoyOcwmHl1Y8K9nW1R FkxBB3LesKv7MWH/bEJa4x4FPS27o9wyiIkj9rMVj8IpaNfCwt7qYUzs6FuM TkVTkFuuprknxsT6ZMmZ8scUJJyqAUqjmGA6yWZuiKcgXuwemawxTFDW0dyi EiioXMu/bvsEJoQ4LNX5JAqa2Un1ezGJCe77tV2nX1OQ9DFZiakpTAyd3/ik IoWC7usl39rIxUTbZq2jmz6Q89P7e8x5mKiZ3CMVk0FB9Zbja07NYKLo897v C58o6PnQoNmxWUx88jW86ZBNQb2KQ3Zac6S/dprt+ZFLQaxEihnfP0w8/neM u7mAgv5o3lidRvI94mR6bDEFPQmwaDkwT/rt+lkX/jIKatdL8/hB8gVdt9WO FRS0Zn1qr9YCJhyEvDuqqiiIj7xwhZIszyhvnP1J+nNSl1pKcpUWrVr1FwXF 8g8UjJB8w/R8iXkT+fzjc715kre6fMu90UJBqZlZseT9mhi6teLj+3YKIuJ9 isj7NxEX75rS2knma7lKHnmfJkyzCl6I9lIQo1Ai+DLJwnXLHm8doCCF3d6r VUjOHjn34NQw+X+1lw8I8rxuwnlBYRwKEt0w+EOXZGUm5XruKAVdWtHXmEHG 27DdwWdogoL8x5PTJEkONst2l+OSekmE21iQeu1xXXpWb5aC7L/8aw4m9RwL tLc9P09BX3QOqb0h9U569sk8jp+KkuY6TT6S+bDMFjOqWERFg1uWG6eQ+RKv t9XjilAR2nN45f1pTHiJiGw2XUpFa2Z1bJaT+VZVsl57TZqKtIxzCvLGMdG6 471SigwVWaRlLjIh/aLnZiElrEBF+e3xqttJf3FvvxXZTKeiO/tNxO+zMZHy fGH+hBIVWfMv1NaQfpT59YqdpUJFzKjKpcsHMNGzk/vdVZOKFqhPHT7+wUS0 uWFh7DYqEnj29I5TG9k/3J9lle6gIpHpiOglLZjITNiXrKRNRdS9vbelyXq6 KRpz65cRFUnJ+35fR9ajFovtJ2BCRYKfn9zQJut1ZJe2l8YRKsJP0jbrfCPr w2PQPsiKit7dWBcoQmBiZeN2tPssFcW71VES0jDR9Dd0m5MTGa8454tsKibu inWpR7mS8XlM2F96Q9b77mDa6AUqevxDu2wuARPFib9nEv2pSLxnp/Jysv+c 8rzyUTyWiv7OZfFFuJP+2dT+cc1TKor6Zn2lywkTYmPok/4zKpqIfIZpDpj4 cF74s/9LKvL0PvvT2gYTcx7hXybSqShGfFvNuAEmIt1ffW2toKKROT3XKAVM nNMQy+FVkfGg8fFPyzCxC7vkyNaS+8s8SiqSxES326bcw01UtDZIJDJREBMb 3HLzinuoyCBhkv/WEIcod6krSPlHsp7YoaJMsv+v21pYzieDLA4tbPr8jkN4 jEQX9gnKoOwH0zeiX3IIWRfbIqaYDFIYfXGRFc0h7J0HiyNkZdBhSoWG9WUO MXduodRPQwaBxUG+ozs5hMZZtSpDOxlUlsbpi3nPJtrPMdzfnZZBKte+fPRJ YhN3XahSSx1l0FpZk5M6j9nE4PlZk2o38nljkmNkIJt44Vfxy8RPBkUzOlg6 NmxC7oFz29EoGTQa91bzvSCbWMh5O3Lyhwy6p9xtIKc7QqQS8aEFNTJorGkz 9+TWEcKm8KG6cr0Mypm1CopcM0JklV7x6P4tg2S3WXt/kxwhLtQenDgzIIOM jzkFbm4ZJvr7h2edBJehUQ6PfsxtmKimrFvivX0ZOvxqf+7SwCGyvlwHH+9a hsw6xnWHLw0RqaWppYWwDNGkjI59PjdE3PPbeFNKfxniQoQ53WiIMOzb+u+t 6TIkdWT9Y1XqEPE9Sxt3OS9DAf17w7Y+GSS+nbSoOxy3DNUEs6t9EwaIr6k3 Hq8TlEVCJSeg6HofIWxoLh8lLIskjjT9M3LrI0wGVWL4xWRRzt5PtmVWfUQ/ 60dkg5Qsom+U3XN3cx9BjZF74E8n5/f4zJj09BLOASl36rfLokV3tgZ06fQS CpYN3n4esmgDsfL19Ylu4gr/2sOVbbKIT5lrL7e+kxBrvbzPLVMOzU8Yrjp5 vIHofakUEe+3HB3cNdnrH1FMRKiuWJRlvgJV0UajBVtfQ1isQ6kdUx5JcKrd TXyrwSrieJV4vzyK21a1ocOhBbh6Sbz4PAWUn5etvuR8N/h9jQ8oLlBAb3Zw jv+72Q18m2IlBosVUNTkq+vd0d0gwrivtKlCAR2xs78Ykt8Nsjyf/cWNCuhp XEfhPske2PzOMGbgrwLyU3K3cHvTA27LJrQ2shSR7YfTf6Uae2EshFNovloR eYmKHnEa7AVvgUHDy2sU0fEAJY1Ps73gh9tOFmkooo+HQpirmH0QUl56x3yX Ilp1cX+hrWMfJP/3uMnXXBGlPH0dvm2qD7p7dXwKbyuiiH/fOjeLDIBOfFXC 2hBFJEiMmaitGIBnllY/HtxTRCP3hfWk1QbAtuK88qlHisjMlHMx+dAA/P7w rFLwhSJiO8i+EHg0ALVX5pl78xTRO6OKm9b0QSiUzi4vnVBEPejRFkPWEChV 7J3Q4Coi+x7xZXObhsD/5k969KwiciasxqN1hmDP9MAFRwEamvcc9ouxG4Ls Vjm6qBQNndrAfykzbgjSX3l7HlCjocItj3gGy4YhYfdGhR92NKSStvRS3Pgw FB4SC5g9TUObO4oe8haGoetE99AaRxrab/V1Tkd8BFg3HmUHutHQNqbFw2cr RyCxhHcMXaEhh9shY7eOjECScWF0RgQNsdZvvTD2YQRKTj7m64qioUOrS8LV c0ag77yXo9RjGtqz5u1Vy9IRWB2xWsv1OQ1J3vR64902Ai+bghtXp9JQCUX4 cf1iNiTbmcnGlpLx5G1wZNiwocxz3dWy7zQk1Cx3dYsDGwYChPqmftDQvpYj 81oebFB9+fmjWT0NKdXUrFx8kw2vhxTMJTpp6BxfrVXJGza8udDz0H+GhtKS hMZzJtjw7pa39Nn1dFRVUtV39jIHRnYdv3FrAx31PLAe5V7nwLoJvfEXm+no cZKNx6UgDryxl/nVsZ2O5Cu3f90VzYFkyIi20qcjIas6qYFMDiTy/jIOnaAj pi2NkTfEgZ4PTWEu9uR6HZ+vrxzlAMsxnz/kDB2pnSBkfaY5kNBwv7vUmY5u XnlY2ieIIT5D/ZW2Dx1x3ItqOhUwxLq6qG8Jp6Nt7/t6DuzD8HvlkXizCDrK t1Tyv2GEYUXrTinPKDrSSAla+soUQ/SBJWOpT+moPih19pMNhkcqbz6qvqGj 8PeNDaPuGOrbw1cbvKOjL9uWVoR5YZCJ9I0684GOulsWP1P0xfBg0X7fhE90 dDhtWffMdQxhnf27FIvoaJShGPrzAYaa6Op3O0roKFpOwKAxEoPk4c/0Y+V0 ZPNUp7o8FsO9vEC+yGo6Mrsbp+2dgOHu41XFkq10dOT2YdfeDxgqTSW2qP+h I8trMcdMMjEsEZtMMuyio8hLdfxvPmMI9im+HTRAnv95r59SHobb5qcOCk7S UbqLdJvqdwwJxq02Z7h0tCZkf8LWHxhy9pu7lc7SEW36w8v1NRjGdhuEhwgw 0DFsZNf4C4O4Vn4CW4iB7kW9kA5uwqCyaXumsSgDMb45Tq5qwWCzWq2RKsVA FoJWB1Z0YLjETBzwpjKQiQE33aOL1EOeNtMoy0AJV1m6aT0YSpdK0p7QGEhj 3Y5m9gCGrsV31OeZDNR+JL19cAjDnAA/OrmSgcp+1YhVj2DYND1mv1KNgTT3 yjcc+YvBaNTZK1CdgVT7fnpNjmJwHO65NbCRgXbp7d9+bRzDjd7jUQe2MNDr L/qssQkMT/80JKdokfwkbNOhKQxfmo2zl+5iIK/9bIeH0xhq68oqPICBdJez 8gu4GNg/tNtqdRjosD13dzMPw+KybI6mPgPV+W/uaJ7BwCrczBe1n4GEf8S+ LJrFsCcnRZpnyEDKzybCIucwWH5axbI+zEAnzETiTf9huPAhTjPXjEG+r2Jq pkm+90ZOn2HBQCsJj1WB8xiSE8MsrlsxEG3tkaf/SC6KEz3XfZyBFH+Latku YGiPvnF5rx0DWataTr4imfdgNuTVaQaSdhP69ZtkmVCvp6KODOS7qKlhimT1 2+xUZ2cGqtCLnPn/9+n91x3yf7gxkPYdYTRE8ukrf35qeDIQVRW/LCD5qrdl d7g3A135T1bjBskx7j8nxn0YKK1Tp0mN5MxzB4SP+jEQfrcjIY88X/WpIrkv 1xjIbWfx3R0kDx3ftUY+gIHOdidFxZPxLbL8uMMvkFx/IamQTerBMFU3bA9i oLf9wRKrSN5h+Oo4CiXnT8n77CX1O6LPdE8IY6CAm4oCxqS+7ijGf1EEA20Z Nn+rTeofvIPywCGKgT4HhF6gkflJ0gx5URZL5utVkFUXmc989UUf18YxEOW9 1MmwSQyTylONnERSr5qmb6/GMEjR3AcPJzOQwZOXq6RJv6yVG5hJf8tAVmnL X5zCGE4u+U27lM5AvZ22U0XDGC4LmWk0f2SgSVWfqp+DZP0vVKCdWQxkfE+m vKwfw/fx3FMLBANFmqzc6NmNYUvr89e3fzCQjhihkNFM7qfuyH1fw0Bs0wcX tBoxjFxTN2iqY6Al82oTr+sxJLK+9qj+ZqDxvi4fk2oyf871jO99DBQ8llaT XoThb06s29ggA03tXvI+Jp+s96V2ufJsBvIsDClzycVwM51t5TzOQH2dmz41 fsIw4yd4UJiPibrOueTkJ2MYSHLwjOVnohEX00zRJAwNVeUx6oJM9PxaPm/P cwzpzLCBo8JMZA1nLrrFYHAqVgx8Jc5E6+VWXuq8g6F5ydaCfSuY6PDzpTEr TmMo0YwZaJVnIvVNyv+pniD9cHxO8rwiEw1fu1bHsiL72/tC2xgGE1nlGnT8 Mcawz8x4bnAVE6m9t8t23UHWW6zjtpBNTPR48FhT1xIML4sqbBmaTPSiqX1d thCGiBH1wIwtTHTIT2nt1QUOeOyZrG/RYqIah4KNlWMcUO267rkOmEjbNZLn 38SB6DWP3/04yETjZ4bumjzjwMS4flKAERPZOV1WtSDfJ8Z5Y0+2GzNR/Xyp g34YB4TNDtxNMiXP153Q3XmNA95+PKf/jjGR/sidQAlbDphWW6iuP8tE1+88 S98ly4HUGEFmtyMTvRpsPfBHnAOip9/LxTgxkbHoeK+zIAfyucIiQm5MlH4/ Y5fuXzZoKH/qbfViIlWxzzLDZWwQ95Z5cfcGE1399Yi38iIbHCE/VucmE301 mitwcmZDkajLA+4tJgre3rUQe5INl+OKrp8OYiK6Dl7IPsCGwVLPk7vCmOjJ uN2SGRobSuR/0kaeMtGVr/uU/fJH4Fp+aPTBLCb6xaP0Vk0Ow1BbfgQvm4kC DPepZQwMw9HZ8bBXOUzUd7m4IKBlGNZttQoSzCf3K3TkH8ofhqa3qy9/LSHz aa/3pSJ4GDZFEdZq9UzUo1RWMCw/DH2uo/QlmIn+KznxdGDdEBgpmCd9X6mE pqeVhUB+AKJ71POtVyuhW2enxbJFB6Dn3eKWERUllCGTabSa1w9+KEdKUk0J GY0yP9Y29kPKGZaf2UYlpKl5eodfRD+IfRg1bd2thHL7XB4qLOmHUr17fJyj Smjl+rOrG9m9oO1Wai0dpIRmGmKzk0K6IV7RfmXlpBJyiKnhwZ0WWFn0KvKQ tTJq72Rkz26vhrD1hWtr85TRp4xcKnr1BhzGF/0sX8tCB58Va/rtLibs08aY QfdZaPfxeucYgwbC5YbZ3IFwFgqtqW4x8GsgvM0yG8UfshBfQz2n50MDcWfS +15YJAvVxPZZDq1oJFK382ajnrLQocTbX2nDjQSvYKHh5VsW4r//Pl8wuJkI qxUPLS5lke+XKssvX1qJ2BeujoHlLLTm2bG37KFW4oVXle6+Chby5cYki9Pa iE+yYTMVVSy0+pemkMj1NqLViupY94uFrjdmLh00aCdUulfodnWz0D7ftf7a P/8QGzIv0xN7WUhI982PBb4OYsetFt6Zfhbayki7brqigzBUefphcIiFWFzB B7X7OwhPZyZ9dJSFdO8c1N/5poPw23Wdlz7OQlbRc75bCjuIWxJd9V6TLNSV M5+r/LuDiH7/IoTLZaGWrl61BtFOIsF/0dnsGRaazdDZ8ESpk3hrckbHb46F hrU6eEe2dxKZyiW0PfMsFHZsxpvPpJPIG1/NW1hgoap/leFxjp3E/wAox+PR "]]}, Annotation[#, "Charting`Private`Tag$6750#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVWnc8le8btiJ7E45xEJJEQ2k9dyUyGrasItlJhIZvu8hOZZUZJYqIiuSx Z8jmOOe8ZRNZJdvv/P56P9fnfd57XPf1vOe53s8hO14yucDCxMQUwcrE9P9r 4k1Hdk2n0ENMC80b/n+tapczspRzQ5S8mAUjxnW9pvSenNw1ZHB0Su2f7DWU WBYuu0HuEaqYpVDPyj5Cngf9Lv6TjUfSkappjtLxqH3Z9em07BsUHbvvbpLo G8TR1688KVuEHKP0txfMf0apDcmXf8nWoyQL1o6lG3XoT1yhKhFWj6rb7vPe +VGHdF0aB9oW69H1FzyaWKceTbD+My9ub0BB7Rr59jwNaO/Bk/seBX1DeKKb iTuuEX3PXWFRnmpB9ZN5CjIpzehWg5qB5tl21EufGW/Y3YYy8z4pZT9rRx0/ LJkCHdtQW9wR1s3f2tFXi5T6fxFtSNHFqmSTdgdy3m9x68RIG2pgva/OJNyJ JPYceHue8ZzYwT6hlpouVBhgRf023IFych/1eapTUK6hUoaBTTcaFxoPM3Cg oEDJd5tm/+tGyv4Gh1SeUlDqzM1d9indKOUAd+rAIgUVNV4UuDfYjaLrw5yt q/tQfL4957xbD/IfiJzRs6WhFzt1k7XcelG+7nTa5kgaamZxGWAK7kVTb06b sVbQUNDYSnrIq17k6i34qVSZjvgNUgL6+nuR9Wp04O45OmK5dOmAuxUFJXM3 3hM89gPtvxtptqzVhw4dvGF72/4HOvf0VWGCcR+iem3dPRXwA2mZSXH99ehD m9pCh79l/UAzFQ5PepP70OM4I/1ggZ/o0auDpjZsVHRvczPfet9PtKeTe4Sr jIrkLW+OXPz7E6VK5O470EVFZcHqZVS+flSq/+ml4gQVrfyKuFx8uB8FxWr8 lhCnIb/8Ux1+r/tRVrDuVJQbDbmg1vgJnwHEVLLy9z4THTGlzRf3hQ4g/xua fZ8F6SiOjURtSB9AbHan3r6Up6O6emeZN10DyOBgkWfiUTpSMVtJu7BvEB2r KX0ifZeOyj6Sq8xMB9HbZdVGtsd0ZCWhN3TUcxAlotstqcl0FEx/rCyfNIj0 XbYXrHyho1FX5bd05iH00zFNfscMHd1uNGpqkhxCxdpn5itX6WiTus/vkp1D yJsj7A4XF4GOz5VoPL8whLiWuncWkgn0w7zfOOTmELIIdJWS2Eagq585fK/F DqGHMpOHNfcS6M1/JoWW9UNIpVfpz38nCHTkR0CXbv8QGlzZYJZvSSDKkcR/ u5eH0CbLbc8THAjEtXFUW2TbMAqszgx6eIVA7tH/lX6PGkaHVJJ962MIxPI3 jcBvhlFVIk9mQhKBEizrmHIrhtG4v7uI7CsCNZCEj4b/GUaZ7oYHDxcQyPHW XqdA3hEUErXQRC8m0NJPuwceSiNIMuDhoe3lBNr6OrNW32oENdQdvjf6jUBV nM2jey+PIMvuHF3jNgLZes5xqoSMIKnkSezZTaA/zZu2ir8cQUqf24f3UQkU pnnIiL1kBD0s1vrw5QeBFJ+ev/i3YwQZHJogTQ0SqGQ+OGJwcgTd7auX6hwl kNmZnNx29lF0UDXj9cUJAk18af9eITuKgitMP3+eItB9mcWZvL2j6MqB7GMf ZwlEuiMjnGo8ivg17ug5/yVQwcDRXVHuo8htd3Zh3T8CGem6md+6N4oiB9eC aIsEGsyM8Pd6MYqiO40/pi8TKJC7INaucBTdTrm2V2aVQCJevZ+NmhnP0wzZ DdYI9O77Wu/+kVFkrZgkrrJOIN2disuqTGPIiVfX6TMD05/pkyQlxtA9noCh JQb2X/A6yLljDCUWf0ycYmA+m6f2CwZjaLre60kMA7/6WnRr5PwYykE8TVOM +IfkiJSuwDHETV45vczI33WXraL62Rja65u9uWiFQF5DWwYKcsaQ2/4g4y2M en/Y924srx9DavUJrbKMfkx7gtWbBsfQ8zcf1ovnCVRjvNesd30M5SZtGFya I9DexpFrQ5Lj6Kx71UNimkDZOrHJM7vHUVqzwrTrJIFkSnWrV0+Po8vhliqx YwSK2jM/zuk5jqpcn+xxHyIQa16GgFjQOHosz63Uz5ifv6q5lnzaOGoNnF1e 6yPQ6Es2W/Wv4+iG9n/lZV0Eao45/1p3bhyZTBoe2NlIIBAQbjLh+4VqQq9v GKwi0IdHFbP2W36hOJr3rHYpgeICyYcCzv5CTfvD0jpzGfqe/37+3vVfyG2T 9HOpTAL9d+n2o8hnv1DP8RPyHCkMvToSHa8bf6H0Y+f1WiII1NEXsfRh+Bfa 318g+fYBgfTMD8mVMU8gCd//RtQDCaR2PNGjZ88Ekhcy7FFyJVBSudHjQZMJ 9HD6i+YLOwIJ7l/5OH1xAr06f2PqkwmB5rfZsHCmT6DIzK8sA/sJVC4sEa8t MIlqn+c9+P/+3hVeV3ps6yTKWWSW+bhCR6/Yrw4a606iOMEVec4pOgpb7Nru HjiJtHaA0qs2OrIgntYkjE6ivkeGi2XPGO8nK52JV6y/kQz3NvrbB3S0v21O 8IPMbzTUaBdz2I+O5KpN7BrNfqOy5vWdzqZ0NJ4l8Ge57DeaUXvEncpNR7aK ZRIbqb9RoFCKT88CDbUkXkIi/34j29MPpIuHaKggqjlEbdsUujaruue/Uhq6 5R9GtoufQqlFugacnjTERb6vTOydRk+SCZ9Ln6io7sDj7TePTaPA23xmG1Kp 6KFV0h5pk2m0mCMyZhpCRSxRn/VsPKbRxTm0ImVLRUtrEy7didMoSXK/i/1K H/pFNc9sYZlB23S7rQe396GsBcf3XvwzqG2LpJi8aB9yFfH+zEuaQcNaPhdJ SxQ0aBhSZ7h7Bl3x+jatV0lB1OLS0VqXGSS8d8nsjgkFfYtT3lL2bQZNJ1yO KXHqRSEFuzTP9s6g//yqEgaP9aLj3w9rrw3NIBm1Q+VNSr2oisNW/8D6DKKl aL4eHOlBJf5Rbp81ZxFLy+jebS496J3Z4pv3MbOI+64x2cu6G0UINKqmnptD r7P/JHGLdaKiPdKFJ73m0PvzW9yqJzrQoP0ltHJjDm19w8p+pLID7X8nbGYZ O4dqRZ9kP7jUgUb1bf/jbZ5DZI4HxjrV7ejovcmWa/v/oI2Zc+d5nNvQwl9+ PxOxv8hzuvbIS6YW5Nhnhlm/zSPhZ8qveTwr0OXq+46XlJfQtHG2x5Dheywz qMs+v3MJhVkfjYoXysONLJxZgbCEItfpPQq9eXgzhM88OrOEyqiv9T9c+IB7 i5/dTg9dQhGi29uCAz/iw+9fJfVOLaFqvvAql+QSLPi8jnL08zKSvC23+YJF FS4tCrnZULWMOr4+djpVWIU9eozkjVuXUQgqnWAXqcbVoq1u9uPLKNY4fC/l ezW+FtW7cJW0gn7e/em8oFeLfz4YF8u5vYJUFS6fP761Aed585hu0l9Fa9FO 93jKWvC3BOFr7yxWUdmWJ21S/N/xcJVk8hGnVeSmsVeW9dB3LCmx5ZfnrVUU fLOtSuf5d3y//Ni98sJV9KHEUeOBaSu2ELr1wV1+DdHO1t55UNyGlz7MCH9d XkP4q2mt2NlOLEJf0DbhXEfdt070ugR1YvWNTOdGxNaRyt+y8uu5nfi8Ld9b wR3riFfTznlwrRN/Y9uq4+y6jpZ9nDS+JHThJHOnK/yd6+jm8euWm2q6ceoN j3ENSyaINP+18HK0F2uUcS4E2THBT6Q5rMdOwWVsmRuI80ywhb36dpYCBf8I H5QL92aCmyOtL7LsKFgmxc5y7BETNBw9/yiimYITqk5VpZYwQWOs/3LGyz6s yvm7daGCCSw4RAmhr3246EQYcaqeCd443ZzR7urDPV11S6udTJB7cq6ykIOK xcYOa1pPMUH5WR4ZexcqjubdlSQkzwxrPttfHJagYXmTtmw3FWZImN2Xsked hvNivIvK1JlB6GnI+cEjNPxd9l2H135mMFK1NHLwoGG+HUrcjWbMcEPBKKP/ Mw0n+VdtkrdhhveasmnBjTS87Yuj0jUHZhA5uPBqgEbDRjrJh5W9mMFjTIb5 MzMdh1hsunoviBnKZZjpncfoWPL5xweUcGbguL/zmawFHb8hzJ5oPmWGvKdx 0tLOdFzn+jiHSGGGnDpNwZ0P6Jj9BtfQ/mJm8PxNjqjBdByDM2ejy5iBV96j N6uJjjez6TGN1zDDEtm843AfHeuE35OKa2cGjdgjx4P+0vHd5BXjPxPMsKOB baenEoFPa3y+vHWOGVq0jgu80SSwTLnvY8dFZjDbmRaScIDAxf3j379vYIEr rnbNCcYEDvZ9Nc3BwwKqYZds3tgQ2ILNUQAJscBkPCHmeYHAs5t7T72TYYGA EVMK71UCl318emlQkQU0HUQrJ24TOELvdKTUVhbo3Zv7/NYjAqu61TY/2sMC XX7DtLJ4Ai8s3v1ddpAFpEQPq1xKJXBNyCG+haMssOPhb4XWTAI7vi084Xya BfKNS6ZzPxJY4+Dli4kWLMA3HJ+m9pXAa01q4R22LEAq06m1rSRwwtTLb0fc GM8XBap2NxPY9fbZiWuXWGCrUK0+uYPAWoJSPHl+LFCkeCZRppfAbTuiDWXv Muofb07b0U/glMoTHhbBLBDbfWm3/jCBvcw4Q8MjWEB9tu2r0DiBDwxVZVU9 ZQGtbgu1yEkCc/nfblhOYIEMBevLpdME7mE/ML4jlQX8ruz/L2WOwK9i/3G6 v2bE+5gLu+cJfEXlw5bUdyygH6NaGLhA4MNFXvo9H1iAPcKH5r9EYD4DVTf+ Yhao4awoUVghMJUyFKxbxgL3/Ewt7q0SOMsjNfO/GhbYfdDh3bM1Al9dsa0r +MYCHd82V1uvE1g3fNPorzYWsI7qS2ljYBGZDg6FXhYonSs5usrA/TmRytYE Cyw5suVRGPg9MtR7PMTIbzDxy52Bb35nd6n7xQJ9Irn/3jHiGzlUPFyfYQGf 7UHdLxn5JWf/e6W1wAKVG3IjjBj1jd7Vrrm4xqiX1UEuk1H/R+G/Q+lsrOD3 rDvyI6O/++nvN1C5WKFO6cSPAEb/Jrs9NwsLssJnhRWRCQY/cjXKxwzEWeHQ goym8AyBf1sMON2RZgVjgek9kwx+S0aS7n9WYIVf3W/UrjP4D7lqnT61hRU2 fHkoVMyYjxWnWJWSBivEbi6feMuYn1JC64CdFivE33tSakIn8B/VcNZnBxjr D+8NzWbMO8qI7SirPivoFF6U928hsD0NO+47xQq1A3vXRuoJrOZ14+5lc1Z4 UsS5zlNF4LrI2XLCgRV+2lbWen8icIxczk8xV1Y4nZ37Jfc9gZ3y3JhPerHC QFqmWtobAjO1/4CS66xwKrKWlprA6H+sNPX6HVZoYpZqX3tMYE6mRBbtYFY4 uFojy8LYD0LbzlQVPmMF+aK47St+BI49umfzlRes8CZiXnXOg8Aka9GHO16y gpG49O8oBwJvDmrVy33PCsKeuw6UGzL0kJibefETK+ifsFs3BQKrF4RzqpWy Qg03XgrfReC9P/UbMxtZ4aNBIteCFIEN9lecTBtmheR/namvh+m42Tgl99wk o1/fooMBPXRs6npTQPYPK5hukuaaqqdj22f72p4zs8H8/XXmnmw69prKN39G YoPbbfa8zzzo+MnLl7bBJmyQGTgfOkqh4U3Fd77qnmED1dFmPdNaGn7x/azM hnNsoBMQ6u72gYZfrUr9uHORDTb36OfHhdDwZ8un528Es0HRU87xjbtpmMr9 wN2rlI3xi/0+zek6FZ+TP9+oVs0G3oMGm1IdqHho72G1X41s4Bkl8CfsOBX/ vrA66dLLBtFhNaxXRKmYuczvssMfNrjx51ZoUHYfVrrifNVMdQMcED56ja2e grftI0yTNTZAmKWeudU7Ct7FZLV9XGsDtJ2vEHZ/TMFHwvSHbx3dAPGk0651 VhRsn65mlm27AaI5NcuvDvbimI7Z7SyRG0AwA76OT/XgDbtvjeTObYAY2+M8 W3u7MM/yv4qlxQ1g6aq98XthFxYq9046xsQORtdYew5Ed2G5E47mfTzsoBbr ZXfJoAsfuHCskl2JHaT3FYwc/tyJrzzjTrazYoedXXH7Jh514MG/sRbcX9mh LvDn+k+ONpx2eKcvrZIdsk2dkz9QWvHZ8ObI3AZ2mJywcDR+14opihvqTXvY wUX+uv2ccStuNfXZ/2KOHX6V4HtE3Hdcmmckt02VA8LuZDXG7m/GsReZx0/G coDMiSdaMfx12GDI/b/oyxuB+jf13t6ZQnxyMGqrjAwXzKAzgoI7Mfq2dbDD VpELEuKaNhb9wcjQd8/N56pcwPtE8RmnTRk6zkL/vmkPF5x72n/0l1Q5OiK3 1V/4NBccHZ1czH9egXbbVpdtvMsF/joXfz6IrkakjkXzuSEuSDnx+O6SRSNK kDqxrjnBBToploc08hqRxPmUTO9ZLnBLPuIiz/0Nic3qLk+ucYGmY+y7vaXf kIDA05RRcW4w2JVXK0puRqxG6r9o+tyQ+/s1u6fndzRe6Xi77h038OVfuWCz oR3JPu5xjyjghh+6eQNtGu3IzP6kudkXbmhdd3YWtm1HpQvaqj/quOFS8P2g ybx2FL1NsOPfADfsSPR/sWDNOL/GYmVlSR5QZC8qXE3tRN5Ou4Um5Xhgf/lM WWN9J3qlmb2Sr8wDb59EWdrMdCKBbzGth3bzgP4HV5+vqAsNMnndsDjNA3tP 2Xrd6e1CYe6klgcPeSDiIWktk6kHle+JLjIM54HvwxPPbBV70DzbxnTBpzwQ q1k13KDXg84lz11NTOWBaKdfa53hPWhXR4N8YQkPmOVYdiSI9SLawWv+g7M8 gFp2UyIlKUiIe+pc1iIPBH18+KVcm4KO9zgZejPxQu9W0TuZVhSU73NaboWX F9SW1U2fPKOgh6+VG4S38MKB2p2GHdx9SF2wS/roWV4gJvuSC8f60HD48N1n F3ihli/3+QkWKkrk+jcy4sELVcr/xSVLUhEP26b8sKu8wC0Ixd4GVDQ+f0a3 6zEvtLr1ppW/oqIMKs3LrYoX8gJl1X4b05Dtmd/tXxp4wdJh+gmPMw2JdK3t 5WvlBbnrTx7/vEZDd1tkWT/QeEFA/KFvTgoNnatwiF2Z54XDjxO7msZpiJQ5 hCO38IFjQLXfkjcddSjOK/Zv54OdP4eDPW7TUWgqe8guLT6wF/pzIyqSjpYS lM16j/DB3p9yfn/f0lFPuNuovC0fDDZNUpQH6SiK6/oJP0c+COOPFdk1Q0d6 QSH5ta58cOFYg8jcKh19vJ0d6OnHBwrp0tRgMQI98Z0U+BjBB7kNqe/4dQhk ML3qt/EZH4waVB3JOUkglot8fdbP+WD7BN+DNSsCeTtvz1h/zQfNYo8jP3gS SGUAcZnk8IGn3p3tm/wJRJw9fSm9gA8m4rrk1W8R6OSZy9r65Xzw4NmfuotR BGLvupP0vJYPRA6ctY+NI9BXk2jW30184L3kw+PD8PNqRh+aoil8cLuwN2Af w/8P1lXuGPrBB2/eNYurfCTQ82MdsXtG+CC04P2zmhICcaG/DtQ5PnAaujUt Wk+gq4dVNn5c4gNdGfHuAy0EGj5qkxPJzA9ZlIxw9k4CmelGmLlt5IfRd/8x +1IIVHG8fOkIPz9Ybp2WvUsQSMPwTwpJjB9OD5/s2jlIoKQTynrzJH5Q9fkl GDxKIJ7T1pMtCvyw31G87OYEga6bhD95o8oPNH3FZvFpAo2alWnf0+QH55Lz W0znCGRhOUfY7uUH9RPKWGOeQFVnlB5qIX4IiywLfL9AoB22Z9QEdPmhR+zO qbYlAqXYh7WNGfGDwjkTpZgVAvE54KuVpvygOTS9/v/vQYHnZ2USrfmh3UR5 kHWdQL8ubK72d+CHtdg+yjsGtna18jjtyg+ZL+d+LTJwnXuooOolfqh1Mpcd ZWCti6WfWP35wbhhOPAqA6dfmrGjBfLDgcpwnuw1Agn5KLJ9uscPNw9pdN1i 5Lt9xTIrKoQfeLcW/JxfJtBv/5DT7o/5gQhY1xJg1Gt77ev80Th+GBdeoDX+ I1DDjekX0sn8oPj7Hn3LXwLtvalw9F8GP9z7GwyqswR6ddti7PtbfljZNMnd 9JtAIvceRWZ94IcgvZjjQr8IdPdBye77xfwg4e2+tjhMoOmgqT67cn54fefU 7vv9BPoWZq4i2MIPT6QGj93uIdC+yODm8U5+oN45u322jUCZj79cqaLyw1LY vSL2JgLdjyGXB4zzQ/gJuxbxMgLNxpm5GM/ww+QPurtIEYHOPQ/i3brAD49F PjR8yCOQzPd5tSkWAdikYWDSl0ogc2MBJlt2AaBKPyk9H0+gsLYt7XWcAvC0 Ndg3kqHnpQ7ba2kCAvCJ9BBa/yNQV29FtbmMAHw9JKHEYkYgXhtqXAVZAPjP SMRmHieQDvWvx/bNAsBhR3OcO0CgfLqKEKeaAFR9KHnir0igiIEI+xJtAXCI 3yK5Z4qOqp0yNbccFICe1Xg5tp90tDJUzhYDApB5aeiJfxsduY/+ybqkJwDb eCUMjAoY+33S+p+8uQBQjo4PlPrSUZLIvfZbVgKw+VJACPd5OvqzPzuXaiMA NsfVtVlM6CglZNklxlEAOt02Pv6tzni/KL/o4fQWAH/1Jcv6QRp660grmg4R gNRxzdzPQEMsIRtiTkQIAFeni0mZKg1Z5W3zyXosAHUsDx74idDQBqabqk5x AhAd7vTf2DAV2SfKPO/OEABPGtvwahAVCfScDSwtEwDBbXa/Rb70Ief1ICup KgEoeTglLpLSh0qU3u+6WisA+dduHai+34fc/JgmNZsFINfiSf6hE32oQijV LqNPAN5Kuc3HUCjoyon+Q2HzAqCrW7pMHulFPRVOzNZqgvCcld2FqaEbTR+m SP63XRCubPZTMc7sRhzlp3al7BCEiyF85S4Pu5EW3ucyvFcQsqTOFY8c7kZP vwg0+RwTBM2T9OT9H7vQqYKSuFB7QUibDOq/8bQT1WSIaHyNEoSRbuLN6JZ2 VBhcZS/3VxC2niqlpT1vRJkGjZuCFgRBZ29mkr424zzA09Y2uSwIAe8S76R2 NaDbUYTuFxYhWNindtxNoAEZxS2pWwgIAdT6cFy7XYf6X2ush24VguiqwMYE 02rEV/si+Z+DEGQVPO78/fwrct7g96O5WQj2NoBZn/UDdN7nRiFPgjBEnVHb VXunFmvtoBduSRSGLfFDUmb0Wsw1Cx91U4Qh+NG68Ot9dfj9ZfZPt18Jg2F/ Y9rz2Tq84v348598YXBPkH/x+mwDjrn0+gu1URjCpDPzIrY14XrP9vK3q8JQ MT6WaKPfil+oaVXUM4mAu/SRFE3fVuw9EVcxzCoCH7+dM6W9aMVinvaVclwi YOMarFcw1YodPcaqnoqJAI0jpc78SRtecVuvDdwuAjn3J7SE2trxdpetzUYO IrC3Zun2N9UuTHeTvfTOiXF/97fXGcZdOMxTWIDPVQQu3d29C13twmOXl41b vETgXYpKa15VF34Z2NhpHCgC6a7rjo+su7F4tAfNIlYE9kz0k9Ov9eCap2dv fkoQgVOTic7GL3rwlVhT2U1JInDhppn959Ie3Ppiv0Nvugjk1e1pyGPpxaGv uYds8kXA52di+/GgXrxekj1xrkkEqDklO7/cpeAcnBxe/l0ElKu+HupNoWDb iifq8h0iIL7n5MXsUgouqr3hPUARgc+fH3S7L1Kwb5vhnwujInDtq6qxkUcf Hhn5tezOKgoH1J41nAQqjhknXjSyi4Ih2xftoDNUrDPZflCNSxRMNRPbvHyo OHX2y61JAVH4PJsTaPCSim1WQ1m9ZUShZiI/Uo2ZhluE1Lj9tEUhNOJJkuM7 Gj508eLY8wOicHW+gypZRsM5tTm1FUgUyi0t1B610XBEoOZ9AV1RkPgtsDVo noaNhrVWs00Y6z9MHmbdT8clcLWvzVwUTnollzsb0rHa86KiRStRyA/OXr5p Q8fcpw/4650VhfRzBZuartNxQ9HhqX4PUdh48IMhtZCO94nca+K8JAosTx3n flbScZZXVbaGjygkmG7Xf95Kx48U9FxvXhUF5ccs11Qm6Ph4uNFPiQei8DCj +NAbaQJ/HgnHECwKKj9vvT2+hcDKR1oSXUJF4UrE5pIEhh9k/2dsXfiYkb9i bp+FAYGrz1m2n04Shaf7W7iVfQi860tcXkCqKJxmFR60vEHgdFFKZFK6KFik K3nsu8/wsw22RhNZojC2pm0s8ozhrxWTVIVzRKFl7d8z7kQCn79FbNyXJwrZ TizmBekEPrLLsTrokyis/77KK/mBwPkRL1/mFItC65mXE11FBJYfG7zT+ZUx v08xgsfKCMyc5HJIoUoUJrrMFnZ9I7D3QibJoFYUPAha8sdWAv8wGV/ybhAF PZe3VmNdBC7juPip9Lso4Dsx9Q4/CKzhmPNsqF0UCqy9XV4PEjilZMqXp1sU ChFPf+IogQXENU12UkRh0lRf7dgEgW9d9tGwponCo2J27cQpAv9u/MB354co fIxRWM6YJbC90t+J1wOikMJ968LZvwRuvq3V2DzM4PPAgnv9PwIf6gt483dM FOyMvNYGFgmcs7soiDQpCkH2ZUK5ywSWjlq6cHRaFGRjmhJUVwkcNr5fx31O FOocwh5ZrBF4Rec/+cfzDH5zFXt3rBPYM7mU6fOiKHwt2RCFGZi6uE6nrzDq W2otXGFgI7PDXzcwiYF+71aTcQb+knP3uRqrGATXF3oGMzC7kblkLLsYBAk6 PKlixDceU45n5hKDxBxe1/9/v3nxcEnck1cMUrp8/yiuEHhEoSmmS0AMLmDD I/pLBN5Rnix6WEQMKpJO2AgsEPg/e5+n2eJiEJ6lqX+d0X/dso6wmJQYPN/0 XjSIwY9wvHj0bRnGepk7DVoM/uy1xgV+kcWgZ9b28qNfBH7TXhJpvlkM8hqW hW+NMPTiHclXpiIGm6miJeIDBEZ8juGqamKw0e68rymdwCHZu3iebRcDjXsv ju7oJXDncY7Q9R1i4HP/mlZBO4E97r0N7tBm9DO1npVaS+CPcrc40EEx0KyW AN5yhn5KjR++ATHQOvFZhlRM4NiF+Xs39cRg3NCJUMgmcP+zepYxAzE4xpM5 SHpJ4G07X9wxPclYbx/9qCiBwJUXD99SMRcD1beru+jBBObjFlmLthKDVw0t gc63CHwmczhw1UYMfJfGh6P9CDzVH3q9zVEM5tuS0nvOEVjKqssv0FsMdhl4 WkntJLDz38w/w75iQOmc16lTInBe9A1f4wAx+LjCd0ZSksB6TXKXlW6KAbND yPWcdTr2PeLh+T1UDJ58DDiYUEPHpcTBX/sixQBxeEld+UTHnP8JuGdEi8FR Is/0z2s6Tv5U6HI9XgyauzTTRoPouFGN6bziazFwL7197tVROhZraPsZkSUG eorGxZ816djBJePc4jsxCLgSweMrS8f/Ug3smwvEwOzBWbcfizSsIP7szNUK xv2j9e9eZtHwDWbV099oYtC9ctNydZmKh3W4e5R+isGXtbObxYeo+HTwxNk7 g2KQ49deRjRRsSJ/7iWtX2LgfSbP7WYSFX8j7YpMWRCDt+LsVQv7qVhm76Hm K8LiYDmYcJjk2oeDb8hatIiJwyFP0xdHjPrwbCkTfYukOBjI+GiTNPpw7bHK SbqcOPwpN3swPk/B3qbHefXVxYHjdJvnym0KrvAyMZLWF4ec6Jzqg4zfG7X8 nR0BRuJw7hCHAHbuxTF/RWzbTjGwzu2BhWO92COw2yPIQhwUR+3fxrL2YpEQ 29CZ8+JgeyLZN+xGD3bOcG6ovikOr+7k62bad2Mu6vXjXgXicFONYu/5pwNr BbzhjfwkDh/jh8pvNXdgB6GettxicThId4ZzmR348/HddjNl4qC7KWLhkU0H di6cunylSRys+9NOheB2XB7h9Pz6sDjcv22l/fRmG756+OTvh5s2wRM3vEHw UwseekV+mhy4CTglNoz+PVWFn6pIsBWZS8D9bdtePm5/g2ztlV4PWElA3J7C 7vfO2Ujx6U4DPlsJeBEjbxC6+BYVrJ+IOu8oAUeo0jQN/veoo+suie+SBEjZ VlYK7/iAhB9M7DofLAH/HZTMtPQqQtE/8QXeLxKwq66o50VvBbIWb9q4t1QC qt50XbXeV4nkT1CyHcslwHgmgzaSUInyP/+Z+VQrAV7vboKXTRVqi9xy07FD Ao5/4r3GT6lGgoeexHyalIDW1eObO77VoagE51oHOUlwraA4/r7TjAL87/oG KkhC1eX6x1K9zcjeJEk2VkkS1ud5bq1tb0FqXF0B39QkYe2Lj20/tQXVXzum skdbEg6enfz2IP47Yjmj+IjHRBLSQ0UmxEdbkZ94v8Gne5LApXBgRdKpA9nO rc63PpSEHUEuxvohHUinReLlxCNJ4Livu0/3fQcSCjJeJkdJgoZY2pms5Q6U M1+WHfZCEpqPnv8uGNWJRjuTeRwLJWGQxSeLN7cLWT+1a+YZkYQTV//Bucoe RPrAJeUxLglxJh4lZ4d6ENH6yaV+UhJC/qxkbeLoRU78QswP/0iC3guwLNTv RV4hNTvXmaXgfVexYmRjL7p7e3v8DEkKlCvYHL3LKUgnmTp0Sk4K7Pz/IAqd gjhKH+3IUZACv4HUiX/LFBS2PNDorioFl5ZGb5zY3Ydi/OPWBvZIwcvnvPNW 6X3ojSezU5eJFCRkUQPe+VKRZ2jO+10WUlArkD64PYyK1LNsVqPPSMHg1b+6 DulUlD9SGHPqnBQYOIwVtrRTUYmje33dRSmQGR8Na1enoZt3xMWUL0uBG1Pi SrUODR1OqXJ8cEUKFFzunL9gTUM1NJmVwzcY+Lzuwaz7NPTdql39S7AUNFbk btPtpKHogNs3JMKkAHN2nk8YpSHzmG11AZFS0CLFTI9fpiFKe5DDrhgpeEDv qYqXo6PBkweevnspBV9C/dxineno1cWxH9yvpaCqB39DAXTkFhazzT1LCmI9 RsoeB9HR7/rpGqU8KaAka9/VfE1HCzoZi8mlUrC1qjTFup+OAr8k36sqlwLe vUwldgz/x7QjgXesSgqibr91ElmhIw7ZSPKORimwT6SvPhchkNjiVf2qbilw del5K3iEQAmXfNtHKVIQ/zM5KseIQNLDF+146VKw04jt8JoFgRTbHS9bDEpB NNPB14XuBNr5zih+dFoK1PUSh+9EEOijgp4C7x8pWMy4EZYfw/DXCYffaf6T gmWBLYeeJRHoSJBW+fVVKbgnEeLk/Y5ANasahslMJFg+yPXGtYBA+le2dlay kiAkcDZO6AuBTjvIjfFwkYBq/lTyRi2BOrolfTV5SfA4QDJQm+HPrU6KrpoL kED8zsWtbxj+nVrFH3RdmAQx8Wzkhm4Cnd3PJZgsRoIH6o/OvKASqD+P7Xml BAmOtKe3yv4kkLPKuuIoiQRqUswPzYYINJ60mMMjR4LkeD3ffWME8hL9s1dT gQQLP8kxrRMM/x/6u8JciQRPg7R/SUwTyI9lzOj6FhJ8l957SXiOQAtXB7qS 1EjAtbdWpvQvgQKnaOcqtzPiuUXNSywQiMm5Z3xkBwkmjx2cU1oi0H1q2xUe LRKcPhcgOLRMoI2mTWsa2iRQMho9YbZKoND62mDzAyT49kI748oagfigQug6 YsQbEhHRXSdQ9MeSF0lHSLBapBBbx8Bi2z4pVR4jwdF3/FsZ5yWU8DLv/chx EjSb3P32g4FlJN/u4zH6P9+br/ozcGrUqyqNUyRQYUlT/cqIr8iRetLchAT5 O9J+FDDyZ/73vOeaOQn+OrbE2K0QSO3PM8ckK0a9Su36nxj1v3ePmqiwIYGc gOV8OaO/XT9D/EfsSVD+gS3+v3kCfbJ8wMTjSILo9Afq4wx+9jXfCtG4QIJb MesfOGYIVKpzXcTclQRN8d0aXZMMfXy5knTNgwRGcRofzccZ+tC8pJLkRQLj wkjzh8MEMsh0y6+4TAItketyrv0EapJxOjByhQQmPVdUlmkMfXCfOa1xgwSP pN/v3t3B0MddU4rZTcb9oSU7ajNDHwsnnK7dIUFusjvn7noCDQwduVoRRIL7 15q2L5cw8ic3p6mGkuDT6+K27kICpVhZN0VHkKDdmT3cKodA9o2X5c8/I0GJ GnOqLkPPX++vGjXGkYBnzVS54BmBSIceBex8QQKdv0YyNWEEorxP+cb6kgRe 41c/dV8jkLa72j+PVyT4mX/qYfclAsUpfCZ3vCHBQS0R2cALBLKIafFPf0+C Dyw5HAWnCNR2Y03uWCkJiAxtvZ+yBNLcHWL4rpzBp+BbTS5hAkX9FvUXrSZB rVH8WM8GAp102NY41EgC3621l13H6ahB19bvYS8JOuwy8s1y6WgL02jybyoJ Xkko9Lz///8Ti3wbLH6QwD3up2pBJB3pqoXKKo8w+Ohh3ZjnRUcVgsX1tX9I cPtmsHewCh2RG4/92b7AWJ+u0isvRke377fKxC2T4E1P2ugFVjo69G/U15VF Go48fPB7mEpDxVRxGU4BaXjzNl2rL5SG8l/7+RhslYZs6qmv5b1UJOjAnJiv Lg1jF/essFRQkbdkeK3kDmnYO2j3efoN4/0dnk76tVcacm/pU9quUlGWT3tN qK40+NuyyRcLUVHaQU2pJgdp2Mx8+q3lnj5UcZLr3rKTNGRUnSq6ROpD/WcH xre4SoNhyLL0UeY+pHD3WfFDL2nISeEXkm6goPSaxTNwQxpShf/VZVhRUMap irgPT6Vhn+mGKEO3XpTpYCqWUCsNAZNijcw23ajOR+1mXYM0cHZXNW7a241G 720Ynm+Shn/ab3j/inQjlVefCk07pEGp5332WlMXejMuZc77UxoM+HMGzh7s Qlm+g09uL0nD4az9028FO9G7B36CLttkQOrx5yqRJ21o4oDd3QcaMhC1LpRs 497G2G86cy93yoCL6PGPfofbUJajSOcPbRnI33hEafNUK8pEH+KsdWUgsdq3 98bxVpS+OC178qwMpL3eal0+3IISLnqq734sA+Rmnm0dZxpQkPl5Q9a/MuBl MtUwK/UV7aamvglqkoUdfEovh55/xgLqrgu532XhYiHXHlHHIjxxS12vp10W eCu+Rm1QKcbpCl8GVSiycMCJs1/uwxcs4tEh2zAsC5WHIoV5akrxUiCrITuT HMzOmC7c9arAvdxa5ccl5MDeHz1Wc6jDNbviR6mScvDT5lP4tdI6XGC3wn+Z JAfm6erNwVL1OCq3wj5eVg4c53WfjHfU4+Omp1bGNsuBdPOpgDSdRvw5wXVP 6A45eF1lOC0t3ozjtjx/12QoB6MNj8f5y1vxnzndjHsn5CCfrYdy53crPlU6 +0L7lBxwhiRYY6k2zG5qEJZhIgdGpEv/EvzasF/govt/Z+TgEP20eo1SOzZp sVTZ5iIHO/kval672YFz4lnlBlzl4ILZ+4fOjPMtp1OueLy7HHBc1nQWb+vA ZQvsHBu85CD4WdivcsVOvF3+4xD1ihz0G7Bs3lbbiXn8RF6G3ZUDKaf61T/r XdgVlSUcuS8HX8dinw9s7saVnJ7RCw/kwGcHv2OEYTe+nlR5x+mRHDjchbdi Md14rNbn3IEoOThlbCowotyDayRbpScS5cDOOUNP/VAvvlUWHmdYJAd+k19t 4nb04XFa2dPFYjl4T/9VVXmyD1ssz0W9LmHUJxyzK829D6tpWT9iLZODcJvv k/6pfbgnW+n6lxo5sJ6e2xXATcU7YrHN1g45MDWym474TsWJBbOWvZ1ycO6F dXjNCBVvbNtsFtQtB6fZFBPfrlExwRNmNECRgwG2CJV7W2k47K7Vwec/5SBK ecDf9A4ND1+ckeGekgOZXwU7TkjTsXGoolTRtBzDz/06eno7HZdkWoq7zMoB EJ9F14COnwx85a/8KwfaG29JnTlPx3AmhOnGCmOeMX+VN6bTcbb/1xWVNTng xz2HbD8w/N3T6YWudTmIa7xeeaaCjiebLWZ2sJJBteTwjdMEHSfoKPSPc5Kh RLnGTUWUwBscLehx3GTYlBT6oZJMYO9bjyi6vGS4d/LFbg51hh8tnmpLEyDD neAhvYfHCJzfLd9yWogMD5XLQ8pPE1jmr3njmjAZoreqe6TbMPz89pJKa3Ey PA1ncT/nTeCzJ6bwRgkyvKnddFD7OoEb3OVLPkqSoT6kWrHoHoFTMoILhGTI sOGH2MS7ZwTmrvzyvkyWDFv7KJnySQT2//H7rReZDLavvXcdekXgE1LmGQ2K ZFi6f9rHrZDAcYPqZTZKZLhRxevCUkLgwXcb+yaUyfD1qOK9ExUEDoQSAf6t ZJAv+bqw2ETgOs6YrSlqZEgSmtlt005gkfZLuprqZAg6T3fw6iHw2wsKgaaa ZDiZq3ci6yeBF9RXYwZ3kOE+x5XptiEC6yx05fntIkOPyBf9d2MEjip//41d iwzzG/4aaE8SuC8kZCR2DyMe59KQ/zSBlcycWLZok2HfyTQe5zkC+0gfki7e x6iPpeY9+zyBS4fF9xoeIIOr9rEqqwUCc72fMaEeJAN7uB2yXSKwxbXGixcR GcyPBSsKrhA47UhG8BqQ4Q9/tH/AKoF/c996GXmEDLcT9PZGrhFYu9OqVE6H DDHRfp5W6wS+n7SjN+8YGTozRkXbGfi7C8+fI3pk6Ltzcc86A5M0h/k6jpNB p+N7O5WBXZfwlgsGZMg1ICY9GLigMl5n3pAMRdEXgt8y4jOF+54NOkEGJmuN V0mM/EYWJ65vOkUGuZM8BkcY9cXJKj97c5qxnlTjH8uof3CU6f0+EzK4+Kpu T2L0p5FPaWg0Zcx/fYO/BaP/wBsFQ7bmjPld2nyyjMFPrU4E028LMkh7mxf3 MfgT4nOVumVFBqNcx6+ZDH7tuw9rCViTIY0iYa08TuCsFCnjVBsylCXrPbEc JvC821+PHXZkOPr2s4d2P4GP7Gx5WGlPhuQos+FvNAJHrGSmmp0jQ2CBDI9Q L2M+kbbd/ufJQJlzfZnXzJiPldYsxwWGntnU9vPUM+ZDFuCNdyaD7xlK/aZK ApsXVB754sbot/jmpuMfGfr9L9HOyIOhry+f1txzCTyhG3CV5kmGD+MOKpDJ 4L9XNWf9EhlWcWQ0czyD/zS2+qjLZJiwtlicjGLw70kfIPuSoZdPZDosmMAf 1h5L6PiTgfx2qbffn8D9Cov3gwPJoL1Z5tP0KQKrT7YlS9wkA/eMbqEvYz9e //i2OOsWI1+WD/XNPgZf+uemv90lgxnfh5XtigQ+7FVrI/iIDMJa5uTXc3S8 1DOmWxXC0OOkn/67ITouOMqzIyCMDMyCB09Yd9OxkoTxRlokGay+9CS8KaJj nipKQWYMGdicVnbKX6fjGvXVZJs4hr70OWSd3Oj4VrxsKF8CGSw6JwxPWtHx rJeTw5VEMvxddpAh7abjHonfvJBOhtMy8ZFp4zQcfV9gcTaDDNcaNwZv7aZh w6kdgxmvyTD8kdPYvpKGS6sCirmzyRAxomVRkUDD6ZeYXbrzyODOdX9P6DEa 9q4WKfPCjPXKIplWoVSsqrEnm1zO2E9nX3S+8KHigYQzMR0VZAg1edobcYaK LbyTPPfVkOEtm67bf0pUfEBKRYK9iQzTOa9I4SV9eOPl/T6JFDIYukxr4l4K TiY5Kn77S4br3Tuziyg9eN/OreqO/8jQkKR0Nq24B3fo/9mzsMCYPy/vmFFC D94Y8NBQcYWxvv9+5ahVD/ZuzfIJZJGHnyHfr+i0d2N4OFemxi8Ppq+5HdtL unD/1H27cBV5EP1qhqovdGDFytcxJ23kIf79aOGV4824WW0hnWorD4faj/Fn TDfhqzHHP7jby8PJUxLc4XFNuNFtrOWhgzxkUJ9qBY18wz4CWzmxizyUbN56 bf/dRoztcm5svyIPSnqz7Q7Zddh6oeCcQLg85JG+8H5sq8BR2ypU20rl4fB4 8D/mpCzsPMfWWq+qAGlcp88ZrlQi+yydZls1BQj8cHl0xKYKWTjcb5zapgBB KgEcJl+qkG4La42opgKYizy1Cb1WjZSyWb447FGAyUODz67O1aAhR6aMxaMK sG1TNfkStR45tS1f3WKnAFUCN88EB7Yg20f7/UvsFUCj+nSyeEcLMoMbvqfO KcDgILC8Ff2OdHKWLvqdV4BHLHtsrnh+R4ohi47lbgpgma7WsGlTKxo4/M/o jL8CCHG8DzB3aUOOebNyjyIVYF5qZrqrvwN53jVdMXisAOmia59P83YiP9OC bp4nCqCZsRT4aE8nCv7rFxEVowD7WD1YtEI7UY724nJsogKob67Svbi9Cy2W r3e9ylaAUbOdbcPu3Yjlybl813cKwGaycF30cTficSoPV81VAJ3DoLv8sRvJ sN/TyclXAN9MHbdx5h6kY8CeX1ikAIKOdUKGT3tQVBtPeFWtAgx9dOb4nNXL 8J8XXR/WM/JFLEdu/taLXl5pPnq8UQEIgZUrRyd70UexqKXGZgVwVx54FaFO QVRrYdf2TgXQe9XBZ/mOgpQHJI72DyhAxvr3EbvnfUij4LpM+pACPPD+Npr2 qQ/te9C3eGFEAXapcBhHt/chI+XE92PjCuBazTbhxUVFPh5yMjMzCsDDpXpA 7AoVBR64s5g/pwAXlTi1M8Kp6AFvf8eVvwow4KUhSH1FRXG5L0MXFhSgnt2b BD0Mf3GbzaV4SQH+ixUp8JymomzjC0cCVxSgoUtiGm2koQL5GulDawpwbqj6 bpEsDZXOKS2uryvA7wF7mV4tGvofzQYh7w== "]]}, Annotation[#, "Charting`Private`Tag$6750#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwU23k8VN8bB3Br2RkGg8FQlpBKtEidJ212pagkopRK9G2RpVVCpFTIFill KbLvdWzZl5k7khCVyBrZ1/zu7695fV5jnnvuc87cnvdrXik5uVs5c3FwcBA8 HBz/f31+02nFhlPBOzhUy3n//1rJZpgdZpxFHHNfu/TJ1+Wqj3cZDC80rP39 e7qiF3peGqLIy7iPCEW/6h0K95Hr9qsXZhSjUKVDTUYXLQqxF1zCxhRT0In6 b8th3CloZcdPtRHFQjRrICo1nl6A2ko/XB3uL0TiCtQOkQuFKPVNZMVQZhEq eMWx85ZGEbK4ZOEwuKsECafv7tj7qhhF8BdF/D6Dkf3Bw6a9wR+ReGwN198v 5Ug7ozE+WLYcJdTF/zekWIt4TYyqGCer0WRkrkb3g1pU9G37XrfCarT3TH0P MVeLBo4t5/8TqUHD3DPWRew6ZPvjdPi3/Bq0ZbuF/v2ABsTqCjxqwlGHmO8X udRGm5Hd5qye9LMNSBzx2wtrM5GOwXPOuawGtE01TD/gFBOZD07ftl9oQA8n Uya8WUx041l20qX7jUj38Wdnp7cs1HVaovZ2dBO6VadlssGBjTgvbXHbsI+J kjPzVd+Gs9HxZ85JG8g6RKQht0oDG0nq0NXe32ai1WeOlNC2tiAR3Ya3CgVM VMftp80h8RmdfpNZUsBgoclBEUFv488oaC+H5IOtLCRPRP2euPUZDb6Jprce YKGLL96/+D38GfV9CRCqv81CUts7xJurWlGsY9dllTYWgtWnR42WWtFxI82D 0cMsdFbwb335xi/I91bFydscBCr5uuJe3osvqE9S+NpzVQL1lT52XP/lC1px /LoWewuBRJPpO1KF25Dm/bth10wI5OShM/Pcuw0RNU+DBVwJ9OD4B7Z0Zhui 91opz/oQKHe3Ucbj321oky2vj1Uwgfgk7M/eO/QVuZ3IuGOaTCCd+f49y0Ff 0f55+80DuQQ69uOyslfZVxT6z/Xj33ICpb+/3+Gq3Y7uVD6+v7ODQIPigw9M HNvR9bHoe429BFLzMNmhHtaOlkTT9FtHCXTqa+oob3U7yp+bdTk2R6AXBoIJ PXPtyMHvPdOOi406489blWl1oBR/Tp12ATaS4W7gjnfoQCZfFM3Z4mz0pPbB adtPHejER7/MzUps1KQ1Ir1ltgOVhIj5vFRjI8FQ81pJzU7EU3RUNHAtGxlN pHlPHO9Ei5fuWffrsJGfjYgWK7QTWRN/9So2s1Fpodu39IpOVPZ3MZJmwEZL 9OaHD6Y70d9BnjP9iI30b6+Dc2u+oYgvZwJ1drGRR8+jv/vsvqETrLu903vY KGvv2EuVR98Q13jeaT0jNhpN2X+Iu/wb0jzoMDlizEZawpm8Pya/oUciHR4M UzZyuUjJ/6jWhTq3B7Y2kDmR/Z9LrG0X4lxS5Jgg849NhIx3SBfyye9deEJm hWid+sOlXSjmUVvnOxM2sl16cl1voguJ/ljKBbJ+xImJtRKq3Shw5bFoi31s xK442D12pBvl2E/Ftu5mIzG1nNCm4G6025Bgtu1kI7MgquG7j93ot/CMkfUO NgocuTJx/283MpM/SzPTZyOn5HPERvHvaFXDWqsPemzE0S779qXmd0T3MOFP Wc9G8YL1dyl7vqN/2jX7RTXZaMd2H7vb9t9RNfenPWOryf1z09QbvfYdcQTO M8wU2Mj7RYew/ePviPWlWXGVNBvRiOC+htTvyEn03a2romyUx22At1V+R+0m 0zd2rWSjQ3rDz1K/fUen3kgeCflHoMeRZsaBYj+QkfbF8PAhAq2vW1SaWfMD TT7xunzoB4GaFt7NO+/6gawCJ5VDWwkk4CD8bpfHD3Tv1IHhm5hAd1WaRJY7 fqBDaiZau8jzrXz45u8LUz9QZiAy/HudQKWB2qWdIj+RwIzmlIIbgRaHHv5X tPMnelDk2ThvQaCrWZYtV5N+Iv6kwSAsQCDqr+V3v0p/ordHdvy+OstCWZIZ 9w62/0QffISPve9loT+eYps3CPcgERRfmfaRhc4gVtTwpR50oo0G/edYiOPl dFFHcA+KVpbftdmahSJ56J11iT3Ip67wljhioZra0woprT0offZVpTuFhdQP Lb501v+FpD4mt7ZmMFG/i9q7Ls5eZPy+v/tLbjO6XW/W2Cjbi7hM7qSHXW9G NO1Lf0o29iKJl9FqtwybyfNfsj7GuRcpB01c7alvQik3rHIP1/Yita1FglKf G9G5Jzc+MkP70K4HJywelNcjrqmX3TiFzBKHN/ddr0fRh2s43pf3ob6FquTA TfWoji6xK2SyDymcbrmcnlSHNJOSq42P/EbHsnj6Mu7UouFiNrNcsR9lP0xz 3C1Vjdx61/TkpA8gi+lAFyVmGfpu/5WvrHYAqe8/Pf/DvQwdbAvUbvw1gDqH py/LiJahLfW/vXplB1H7Cq+1c6aliDvztZhUwCAyPBBR9eLWBxR5XWnHNYch 9KdoXb+ESj4qk5CJ2io2gmpCVMzG+18hASU/te4tY+i32J8k4ZEMXGPweN3N PWNo+mH85q+Zmdj/SNxmeasxZHP6XqymRxbmCi3Yd+z8GOIcfJlvuZSN5/8N n/nyfAx99qwz5uHNx0Od1snNXH9Ry9SFvOdTJbghUm1NacNfZLtNuVmHXomD cnQ3OHz9iyApykHuUiU2Yu7c+q/3L4qUH6d4VlfiypV2xgbLf1HImuVEv4uf cIlH6NmCDeNI1Gj99tTiKpx2aC4lI2IcrT1pdBR0a7HrxRVZlq/G0UGJ+OYT t2uxxgOJoj/vx5Gnytgzor4Wv6lYW6dVO46ktr3vSzhRh+N0nAaTF8aROOWx TdGdevxQrF4j4cQEajfoGNF80YgLN8vnWrhNoDmlyW8tvY34l707WvSZQNeL i11CNJrwtjSJQ4efTaDk6uPSKplNuN/Y7oZw0wTa60I/kpvVjKn/pa8s7phA xtT22ISxZowiOZ64DEyQ+7kmoEqKiSP6Et9U8EyiiqiXSVpWTLzr7kiz17ZJ VJ03HFdXzsRuqchWzXgSBQ90hL/6xsTRrMe/Wmwm0dbXXylTM0w8prhpbt2l SZQnpG/4T4OF40puKvclT6ItX99oPQli4doe5runeZPoY3mAKi2BhScFVm3e WUnW49jnIJbPwqZHq01juycRO9RLwPoHC89OiV61kppC86n22fLrCLxK3ml5 edUUev7th+jqnQS22J1zP23DFNoUdvX1MysCv35yJI7PfApdLrHmqLxMYGZh qnqe7RSSmBYp8LlL4MXvi1knXaZQhU/i47gnBLZal1D98e4UMhqpWbH6PYFv 2kwccH08hWRkg5j3SgiccmNPp0z8FBqlPqAdqCUwR8PA2JWiKfRmOu+W8g8C a05s81GumUJ3FMQb1YYJbCP7kJf5eQodjRCfCpsmcJqLjqzm3yl0qDNwy2t+ Nm575JfY9m8Kfaxzz9snzsY8+a3a/kLTqGzS7Ot+WTZe16VeuFF2GqV/7v+v VImNyX/Gd/1Qm0at/YIHItTZ2F+rsfGh3jS6n3JzH6HNxpkHFY8Y7JpGUk/5 Va/osnGn938/B/ZPoybG1Q8+W9mY72WF6zP7acTVdL+rfzsbb6yVnNntOo04 pcRsi3eysf3YmTvjXtNI/gqTY2I3GwdJFwm+CJhGiSefvnq0j41zdwhFmIdP o3rOJpnHxmz83dmesfByGl1W3Og4Y8LGQiEZqckZ08h6jfC9clM23pzDpWfz kbx+dmroOJmdOg5h7oZptP2g7aMAMgvE/Ljw39dpFDHUnhdAfj7L1o3e3TeN 4jKj74wbkfcru1BnNjmNvIvM5qv3sjF3e4BXEecMOiSXqMlHru9dFFVdXXQG WQ0cZGQDGx86mtAaTp9BsVtFe2oM2HiRpn2PW2MGHVW6f9N4CxsnthVt/G/z DHrT95dDbyMbm0Xu+9m1ewaVt72OCl7LxpOHW0LNrGbQt32Hg8zV2DhW2hEV Ocyg120DVB8GG+/5MjKidmEG1a3b6UOVYeM/Ed6x4d4zaOEvLMtQ2DjCZqUp d+AMGqho+BnMx8Z9nxnJXS9nUO4aaWbuFIEfhqfZmGXMoL8rnh93GyLwJmt9 3qIPMyjJf7tV2HcCB7QcdApvm0F5toe81pDna33YdzHuvhm0veyZSRR5/toO XsAXJ2YQz9je9mvk+VRn+9PNRGbR3qpg6t2n5Pl+IlFfKDeLPiyNp2f4EdjT 6oWX2ppZdF7+7G+LqwSuZRW2cu2eRY56KuLdhwh8jjkcWug1iw7AeddjwgQW D/VCagGz6EhVxmq5eRYuslzxJyxsFkW4KXhb9rGwYLOi6cX3s0i7/fVb2gcW ftdoxavWO4v2CTdPoFMsfCikOztsfBadC8MO+WYsvGjm6sTFMYdK3qDqZF0W Nm+4h7/JziFXJeUti1ws/KeuwCts/xyy6xXm844inzdBe9S57OdQwnvU9fkG E+8wIVrdz8+hm4e6ubMcmfhR7dBGU/85dHXf79I/aky8vkbhD2fJHMrgV9NT Od6M//vk5+SuNo9uxVDfxZo0YoVfe1dMb5xHH5t3FczzNeJ6Lv7U6zCP+Kqc N4VXNWAVCPl7/+g80uI3eOSPGvDXovDbicHz6I2d0c9g9Xq8M+NN3NfReXRY 1tc0v60GU2Jq2ncVLKA/9LLoNFyBPxYG3ayrXEBpOtMWB89W4PNtZsoHWAto 9l3DPg/xCvxJknXWfnABGUcoq24/WY69Qr/OetIXkUMa21VkuRT/uDcolX57 EQ2kUGXCd5XgzItCB2nGS+jzXz7vNOMM3BAt4ZVms4SOvoia4BhMx32VsvGG p5aQ4VcH5SyUhmVl1gy53lpCC1Hdyef6U7Bf2Z67ZblLSDz6ZUbi+lfYRvxW 9jnlf8i2aDPXq3h/PJ/9V+LDwj80GCXib3jxNaJ2zW614l9G5eEfka1CEtLm 4zjxW2oZqTBtC4rqk9FJO5F3FJ1lNPX9xknG6neogUdz92mXZcTIVu/gcc5E cdanroh+XkbmS2viPUbzUYLP+cH1hzlg6vBKuSrdcrS+lH824DgHmHKp3J8N KUelPMm83Sc5gCdJKTi1rxx9D/nFCLnIAasLggX9IiqQwovjhwfuc8CEuEF9 w2gliq60rEwo4YBa79b0bP9qpMH/hzVbzgEsakFNfWs1KjR/0G1ZywHvJeJZ O1RrUFtrzfzSZw6IS4tPX1tRg6QGdm6wHeWAnmC4Pz1Zi54I68aJK3OCf2mq w5VNDUjZinh7Vp0TEqNl9Ux9GlBmxMXCUm1OcKI/HrfDDYipmNbito3M89zW a/Y0IhEdVcH6Q5zw0k6vfNO+JhTnUUlTPsYJSxS+xOx7TWhtsZOqlyMn/Dxo 0Xu8ogmZ7Y7fqebGCetkMoV0DZpRkA3N824AJ/RdpTV1UphINibvXnsIJ0y/ ui1RtJaJUroPPd0Qxgl8ugqP1IyZqMblcXr3C05QMto8/P4mE63wEejdVsQJ 57ncv5z4xUQROHn8SSkneH9Jz0ldZCIVnn0cg1WccLzYecctKgvtDrkrF8nm BOHzmQufDFnIN37xwOQwJ3jeF35eGMVC+9cX/Kc5wQm+tF1cP9NYSKHs8mOn OU6Q+NrFCC9joaKfg0wmLxcMVqcdiPrNQuMqXy3TFLiAGcSxyK9Nztd5Ye6/ VnPBqp+W7Z47CPRw3/5HcppcEO16zs2NnK81zlY33d/MBby/Q88Mkz51epdr fno/FxiueHJOI5Gc97f/d+G5DResCV5T+SmDQP8atUJa7LjApuOtTm8JgaJH XzUYnuWChykc/9LZBHK57TDs5c4FL4Vjso50EWgTRU4o8yoXCPFnaN7rJxCh 88RU0ZcLRh9/lXVeIP1ZYX7eJpALLvHm9UvzsJHbIf7gkIdcYN7/WcNMiI0M eitTK8O4YN3nxQROKhsJeNyuW4jmAn93x41b5NiobYXBoE4CF2hd+l09Snr0 zbMZ/nNJXLD47JKRujobXVHPXpOQxgWsmL7nP0iP7ix0M27L5oK7W9Qy5Tay kYiJxlnRIi74o04730p6tLO9N3BvKReMqD3PoZAeTT2fkHyjiguOjkV5NJIe 9Vy0q8lp4AKR7eNR/KRH94bQ+ocILuirub+yivQoVaFl5aqvXFBksTuZi/To z/RHarbdXHD6Pq8zJr2YgUz3Pe7lgoqNmaqLpCdvMlecqRnignd8mq0FpDfN HMv9l/+S6y+3sZsis+z4jTebZrnggTztZSaZ+323Vl34xwVb2FahI+Tn8ySm ehN5uGGES00ihazvl5jB2ynADcednun/Ij1qpeeqIkHhBsW9HGvjyfUxqtT2 mEhzw4wPldJuyEZ/bHpO3ZHnhtcsf+Fw8v5Kfsf5Fawi61EFjJnb2CjI0zZx dA03PJE4MBhM9ucIv1Sl6npuOBQjQqshPa8azeo5voms5zU160f2d1IjhDvc gBu23yjILldjo1Aznl3cxtxQpB53oEyWjey/YSd9S27wcFX19ZUgfe7m4/uf NTd0CdqofRJko5pH42XdjtxQHOZxrnmeQBGM9B9SLtyQK9No/ewvgU5lnuW0 cOMG5w0R+3/8JhAH+zuUeHPD3oA8uUWCQH4DHxO873CDuInuiZYqAvFzPOfa GsgN6ntzcmWKCCS+9mhlbjiZ9fY/HIkj0LNdm1WuxHLDvcY8kRuhBKLbSvrr vOIGucGcaJ87BFIJYO17n8EN3fNCzGpHAqU+f598IZ8bfMMyPaQOEEg7J4Rf 6yM3mC75rmpFBNryw7g+uZ4bdAN2BqXKEchkW7nFyz5uGA00PJ3bwEJNB168 PzHCDZTom4rR+Sx00OWmmOIkN3iNxFImE1jILlyfiOHkATenDR8FrrKQ22iW dTidB3yNVvN9JZ8XT1+9sgu04gEN5cD2pG1MRCu682HvUR7IH1kVs12BiWKZ Dgq8J3hgRiZdxJqDid4syX2/c4EHOFN/d8n4N6OCw2EnfQJ54PPbz+t9yOdh p+C9c24fecAp1ldO8kgDOqF8sl7rEw+8OiU84irSgHq37NQaqueBh//e0Acq 6tEf56WRM1/J+u2fNhzWqkecpVf/c5zkAYVpDh3LiVqkeuW05yENXlCveOrf fawardXvPhi/nhcW66IvugpWI12OI+sGN/HCcS91R7uiKmT4wLjv1i5eSK7O 9L0gVYXsE7UOvbXjBeZt3u1PqytRRMv4Oq5HvPD4s578uGg54tW79fv9BC9c 52TcwU8K0K+pZzaCH1bA7SELWmjcbvxy58bL3ypWQGTwaxjefBE7hDQ9el+3 Ah6Mj835ddzA7at5aw+2rQC4HDj78dEDzDp4aVvsxAq4Xz4endwTgz9mmjHW aqyE9pmjxeZX3+JnFzgHLZ6thCr+nmNPuorwocLYFUpxK2HbP+5j5anFWJx3 y6qJxJXQoBF2XtKjBD+MdbN7lrUSSjv57AQFPmK/+o6m7saVUG5QeMzwaSm+ uCYv+yIPHxhK8uTIRFRgk95zN578xwelt+fO5zJq8d4bq97t9uQDe9s9XxP/ q8WGkp3t0zf5QPjAgcvMslqsv8d8y7EHfCBxoeUJ4VCHNV6vm1iVxAffdmXv Qk/qsaDzpEtuJx94DX6cz2hqxHxL756d6eGDrlKlRFPxJswT7lwlM8gHn3bL Pv53qAkvVrauujnDB4UbDQYSvzTh4dWFXXvF+WHbOmXOj6xm3PDrxqG2ffwA O25+qKhn4prrm+4GWfCD1S7X0J+9TFxJHc00sOYHnfwQ3VvLTFyy+4RoghM/ pCtPlmlvIOfPRMO6szf44aBwb/uBhyycbLAwK+fHDw62RzVNElk4sSVbrSmI H3J+7ggrKmThWB6VezqR/LBvnakgZw8Lh5xaCQtZ/LB0cqZMnPRk0CJ2Syvk h60WPoZFQGD/MM/nDqX8ELH0XPXzAdKDlQPzFY38YOAmsOLkJQJ7271c49HC D59CvWZa7hDYY9L2iHoHP7Rp791aEEpgt9UNuQ/6+SG45cQo8x05b5f4/dox Sq7Hf9Ur3iICnz60XeLvFD9ocN0QT60isL1f+kVrbgGAcfPX0EVgW/qZ+JUC AuCnd4lfZ4D0ZI5iU6GYANh2+6c+niC9+ytUU0GBzPvU90WvYOMGzV8tdqsF wOLaMkeWCBubXt58M0ZDAIqORPKaSLFxXVGQWvt6AXg5tkvVSZ6Njbi6mLTN AsC/+6Du/Co2rjLe4H14uwBMHpbmFNcgvfPYb1XELgFw2fDjeMo6Nq5s+9LQ YiwAZz9z0ktJXxoyND0k9gvAT8suYRvSl6Vnbipa2QjAevunUudJX6L3rJpQ OwF40XhWdZn02cfp1ZeanQTgVj6vtjjpN4MdnnIiZwVAQU9QIZH0XdG9+koz dwGoc1D4nUP6b0ujglvwVQFg7+/x2k36MI96SbrORwAClP5VWZF+1LP7VMrn KwCbh8RxN5lzXtHO7QsUgLg9ew4OkVln6LyE/0MBaG+W8btK5gwdXFIZJgCP 05UdbpL1tL3FT3PHCIDap7C/vKRn35U5ixomCADXTKKREOldTf7CgttJZP/V Av97TK43db+QE04TAKr+Za9w0svqkQ6C/7IFQFI85gJtBxu/6c7KMSgSgDd/ Guxk9dlYRW2FvU+pALhdX+sco0f60+3oyqIqAXA68V9azHo2Vs57lzHbIAA9 ks52cpps/GJp+ehmtgBY0j5HyqqwseKeg9weXwWAuyfkfpQCG9Nb5qwnegUA 54iskhZj42g58+UNwwLQ4ZemKEV6U+bki+SL4wLwcGdWYPgygaXG9y6M/BMA TyLshdQIgcO2Ridq8QpCsGVVM62HwBJ3RszPCwrCiACva2wbgcXEwl70SwvC vktCI+rlpFcP/zZWUxAE8/u3T+jkEVg4Xn/CebUgMJgvXT6mEFhA+8eenvWC wDsRHOPwiMDcZtpD34wFQTR1wZJJ+tL36Z0w+n5B+PaqZ/fsbgJzdLRsP2Yj CCZv5Gpe6xJ48axPaJuTIMx/HUVPxQk8HVCjx/YRBKs03QuVNSx8pVmum+Ir CJo38y6o5LLwhJR74P5AQdhxJahcNIGFx15LdjSGCcLG5bqHvtdYeLDC6XZN Gnm9o7rMUQUWVnzcdu5hjiAYuO/2SeMlfWpvYX2oWBDsGnmnfw0x8cfZrRrf awShpGJjSGUeEz9ZS2mZ6REE6c9e43Z7mXjbM6ymJisEjzMP37wa04QvntIT H2EIgfLVRdX5I034zYa3i1lqQnBf3iD6kWQTFmuIYO3QE4Krhurrp4Ib8S8O Nx+b/ULwgnjc0HuhAT84R2++5y8EG0oUtaz56nDZ5ieFpiFC8F9BN8ef/Fo8 zcOXSAkTgvHgWrmS07X4RPyE5/MEIciyNFrLVV6DdVvqlHNLhCBB/Kfpdfdq /G27l8evcSE44rmz2zO5EmtTWuV3OQjDqeH0/SZmH3BfSJ9vuLMwdK7ifvsh tAQ/F5j5/fu8MAx9VElxbSnGQjy0rAeewmAuKaX45GgRHpw+urf1sTC8d2I3 Bx3Lx687v7mdrRQGrfx54VzDTExP7sWP1oiAqlDHHQvBp7hl9fTqn+tEIEz6 6WtW1SMcnLAiSHeTCMiKHP+g6XEfz0erHfpqKALqEdnzi6+9cFvI2X5lOxFo it6ktGvYEz29PCKW91AE/G1dtD56xCMBNOXYOSECxvFVbsZGOchzpzpf3rwI 2MeIu1+Ty0V9u46lP+IUhTU/z2stjOSicqOyeUNRUfiZvmKhPzQfeVuFPE3R EIVB5pjPm8YiNOSs8snDURQe/OQX931Yimxdjpzf7yIKjQkFDehvKao5F0zR cBeF9CvJ7CsHy1Ci+9/j366LAod8VNoWqXJk5/VhelekKIQOd/0iwipQwwNr dUqzKER/TNj8/nIV0n8U2DT4WRRKSmPzvBqqUPLj4iuVnaLQvveh54PV1cgv Qqns2qAoKKzKy7lFVCMF5rTWKJcY7Jsti7JUqUWtX8s/WSuIwdNHY1sNE+uR 8LHOyHIlMTj0aF2x5Vg92t05dX6dihjMB4TM+2xrQFld6uL8WmJglUP5odrc gB72PLQv2SoG3mmOP+8ONaJ9I7YzytZiYOfdFnp9uhnFUe+ybx0RA8fhIB81 GSaa3Pb2fecxMZDIH7B7uomJXgQtnIlwEoPUO/u/jLoz0bxabBv/RTHwdOxX et3JRPstK3NOXxaD1Waw/GCanPc8hkMrPMTgSHgs5a8oOV9+MjC+cUMMRAR3 PdfYyULvnL4VjgWJQYZh5Drz5yzEFcQbYf5QDHx3Ks1xZLPQkcy1l1Ifi0HQ eKOOZg0L8XLc1DgVKQYfvfIffh8j51O1NyvKYsRA/cuKG+d4CJRl0fRTPl4M 0FTcZRdpAtk/V4j58loMOHybKB+3ESincu813RQxGLjmeY9qTiCBYbeDj9+J Adf20KjO4wTK18eCptli8OCVixO+QSCxNofrH0vFIK2Kc7gij0CnlwOOyFWK waem/vDoCgKVqGboelaLwXHDnuvdzQQ6e5VjZEOTGPCmbvHI6iO9G6te+5BF 3u+HN+WI9IJU5f7XQy1iEOBlUbqV9Ga5eMLx1x1kf5zzTS8JsxFNv3YrV7cY ND8YM86QJP3p+FfS4Se5H7GszqPybFQZKDNe3CsGIaf2tbutZiO5jJ1NtAEx IHJ30EY12OjSl7OpV4fF4O2JRNf29aRf/j32J0bFIFzPOW39JjZSUC1yWjch BsK8bhl/9UmPmv/c8WCaPE/xb03lSW/VXRGQG5gTg1efBayzSY8xYnVm9iyJ QfE1z5fZpNc8KmzZLzkocMTmB78C6cnGQd/3y9wUcD7s6jhOem+1+Ntgu5UU CF3+/GQ96UPvrewzhQIUOHwEpbaRmXliYZeUCAVcP+7JHySzauAqxmUKBXwf +teeJvP196aLzVQKmKjEj5mRniRaL7dp0Sjg0a1l8Jy8nvq/mJz7chQokGks PryXjW6pVIb2KVCgbL38reukf1vNhl13KVNg152icEEgPXeFavxChQJ/zxiK 8pJ+9o0xUFlSp8DNnVYLLqQf28pPcdpqUSDqXMDZzaQfx3a2y95YR4E1+y0O tWmx0coyS90XOmT9wUrbGVWyf/DJvEKPAvqyKflhDDbahPXP9G0h6x/a+SZD ho0sdmTc5jegwF5Ki6OpOBs5f1CJ1kIUiP6UpOIswEZhxWKNl/ZQIGNUM1tq jkDv9P37wo0ooG11diJ9lEAVhQvLBaYUUPHnXFPdS6Dx/D6d5QMUGNpm5+jJ JP242c5M2ZoCPqlv2ymfCMTIYznvOUKB+Qr3TVqFBLLMKYkMtqeAo+Qf/Cue PK8bdbLSHSkgOdGcf/cJgW5mJdWzTlHgdZsc32s/8voZT/5Jn6fAqyODhy6e Ib8PaS6nEq9R4KinNlVPjUDKWl03qr0p4P1Da/e4JIG2vj34bPAGBQYe+Ivr kd83l5Qddev9KDBiyF5r3s1CVa+p6z+EUuDkqb49nx+xUNfqIOPvT8n9y+0Y bfBmoalXy07czygwYbzlnIUzC61+ORhu/Jzcr1VcSn+3sJBvXOnC5xQK5P1s afjUzkQ7nrlW/ymnQIN5RrYePxPZSP38Tqki788qT1W9vRldCD88r1tLgWPs iRjhhGYU+9RwrU8zBeI93BOPaDWj+Ue0pys7KfBH+pyEzNYmlBtYac+YooCd /0BOslYDSjappwXMUsCo3Ybjy496FC1EECMLFGCwU8rVIurR7dDuvcVc4pB0 /9nk1sU6ZBY5r20jJg4vIp2FnD7Wop9J65eDNcXByjct7g+9GolUx8bPOIqD 4sVDbu3WZYjz/quj9s7iUHjhl96RyVI0aZIq8clFHCj+YyqWT0rR16b8gCfu 4jAkuL7EJQqjxFbCfe0NcThx41XNyWslSL+PD05GioOyIw/VVyAPnea9+r2p SRyeFDsUD1xJQLKKtV8WWOJQ5b/Q/bwsHjVtkW9W/ywOHrLxzcGRsWiT66cP vh3iUGpx5o3G7gi0gi0Zs6lfHM41ymgWrLmLXr/Is47jlICQqAjCOeER/rVt tu6CrgT8XZj2vBKQgSOtzcqjN0tAVXFSR6l5JjZzf1FYrS8B7yItV4VLZOGc l0bJSjslwC443qj0eTb244+699lcAqi3Fw1C3ubh1V+2wvYzEmCxZrXdqeQS fPKST65QtATsuv7wQxBnJd6k05W75rkEeC3vl/WyqcQC45C394UE5L8zGO5O rcQZ/63Iv/1GAq45hTuLWH3CixcfF0xmSQDT9Gp/VlQVjnBPKu6sJ+vJbOQ3 EKrFZ9cJlMw1SYCyWpha1uFabDDqWiJFSICu+9HDt17W4h43nQ/72yTgLr+b v/SmOrze7cPHyl8SsNhn5iRoXY9rXdll75Yk4LSJufDJi404VmtTeS0HFf6k 8l1zzWjEF4cjy/u4qWDMGx70frQRS7naVzAEqMCpmlXZeb4JO50fqAyTokLw YpxJqm0z1tM0+5QpQ4VWmC44HNaM+YbSPzXRqfBpyG7lxsZm/P7clSq+VVRY 5DTJ2KTAJOfb5err66jQL6bSezKQiZvXONVE6ZCfx/a3viUw8cuBypo8PSq4 Z3So9BcxsfHZoNqxbVS46iuQnEbOpxEukvWnjKhwkC7xX/8+Fj6r7ll/x5QK 28J909qOs7BBf3t9nAUVDr8wMLa+zMI/z7xoaDtEha++uoF/Y1l43RnNJjNH KiSLZQQkDbJw11lF97RTVHizcf6/y/9Y+IGrhJiICxXC3k5aZlEIPPDfwoFm NyqMKRUZ+G8icOSV0fF1l6ig8evUtIwRgfde63kaepXsH6/QvPxRAr+6Xv/5 wHUq8FX9+HrFi8BWt7BH1i0qHE/ePl0VSM77vtnSEnepMN57JivgGYGPB8Qc bblPhXW3M0IPZhNYKOjRvG4IFa6dlJg+Xkrgogd3Y8JDqQDvG+98biCw9JPz 32yeUSEphPVE4BeBq8IcbuZHU6H3jcOx6j8EvvLsoCItjgp9ek3M0VkCK0fv K/VMoMLSDRx2l4uNWbHbHL8mUuFm+WcjX0E2vh2/jks/mQq5e7MfDkmQ/nu5 6lX0W3J95vMrsRwbdyZK715Ip0KUvLnNojIbBycJ9h7LooKl31+NV2vYWD91 +V5JLpmfCrhmkx7ufzehKl9IhdcpLIG1pO8i3v+uvlFC3r/q7VlR0n97sjpc ujAV/F0sVe1IH07mNPOjCipoNnveoxiy8cv8itT4KirYFOqtXL+HjfcX5Zty 1FFByh/H5pP+XC55O3yikexPmOXmZNKn6Tg+pIxJhXu7FGs4Sc/alT/VVm6h gtn4Gaj8/++pnwKafb9QoW3Z6fEomQurfS72tFNhc73xu7tkdqlzp+zuosLl bGvf26R/pRpPZiX+oEK0dClPH+ntyubDB3l7qVBgU746h/T4ZcJ00rmfrNcc zh7cRXr1MwqvGqKC3M+JlUGk55lfNm5SG6XC2QH3gccGbHyzXe1LwDgV7g6q F3JtYeO13+Q8+6eoIBLpUdCpQ/a3W1TGeI4KOYkZ6oy1bBz0k7soZZEKChXa po2qpPd7Z2wFOCRh8rWR4y9FNv79e2jhHLcktC9bv3Omkf0d7I6tXyEJPnfT Lxwg/bt7hL1dS0ASfHtS+pJWsnHCePGtETFJOMzdzxMxSeD9U+8ZFlRJuKre rqU9SOB/M6/K0qUlIXqykaLTTeBjS8HcFxUkIchMhnazmvQsx+1EppIkvNnO KKkqInAB15U9G1Qk4efRgFXX0wgsyWcXMK4pCT9WS0xrPyZws7iW4NWtkiA8 wYsqDxB4x4ULAzEGkiBWGCuRtpPA6dXp1eVIEsKVWKdkNpCevr7BT2yvJFRo WFjcFCGwWd+mpbdWklB4YMv0vQoWLgHPDsJaEnodjrk8e8/CWjGFhXNHJKEo 88ncuhgWFtxv4LHPQRJWltSYzF5k4brCnaM/z0uCxcFuvykpFtan3m3kd5cE mRwvB8tlJk51q3y7/pIk2LRpbtb7zcT3V+1zuekpCWmP1sQk5TKxUYjZD5l7 krCxsNZJ35yJP504zN4fJwmtJkWyJ5ubsG5xZOa1BHK9ngf+bHvShBMl2x/F JUqC/NhM065DTdivzs5sOFUStpzt+/L7cyM21HX6FJAvCZf3Xh7Kam7ApSsv 5H9kSoJcXrTOr7g6XJzuG6PFLQVz24utFws+4RVm1rLPVkhBKPRKm9l/wgcG 1KI4BaTgda2Q8hjXJ/x7VWNEq5gUCM51W4NJJZaIkn5yW0EKtrJbCWtWOT5/ 911gy1Yp4HGVUZwJwFjuSOvV6xeloN28825KQhb24dTY3/BNCnp8ypTiFl+g vt2Cbao/pCDjnrE2d9JLtD9w2OHOLynYyBIf/rI/Ea0Wfe++aUgKsgtNXGJf JqEGuu6jF7NSYDddY665PR0pbNnRdEVCGqT4iXWpCaQ/3azM5I2lITWmSUpa tAxpZW1suWYmDZ0cW8No7mUoYopqR1hKw9HkiLVPm8rQ+etfzgfYSAM/V13N 7+ByRA2yC/57UhreamqL4eUKdPr16bpPN6Vhi/QJ/6raKiTQ6W3kliMNj+qC tLNb6tGmaynCj/KlIWBUmZUu04AcxduI90XSsDZT++TI8QZUYKR3/G+pNOgp vs/T/NWATueO/nelURqucQ8duv67ET3Zr7A5nCkNlT3HO46rNqEPQ2aLuWxp +HHZOfHKqSZEVU71n/kqDcwKgXPbuppQ2cNTMd590qAQYYk4aprR8JqnJ2IG pOEOpfLYOg4mon0qUykZlobALwr/xuWYyG1BIWNpXBrmKg+G6loxEd3la+Xt ZWno11DLelDIJD1v8cefRgM3Wcf+xUsslNh5PTtJjgYvblp8ZgSyUPO1t541 CjT4QT3W2BTLQqrpfNwCKjQwvXb5c1UlC7FlK6RDNtBA/T8hHhlRAv3L/duZ pksDHa0TfLcYBNI4wHjZtJkGgdcKBM9vINDtgBtaYjtoUMH1/SL7/7+nTG7e +dSEBmsvOiS1PyCQ7aPTK3LMaTD8ivemczSB7mmE17fsp0GdYIXa5SQCdZ4Y t5Y6TIM1zu7+kqUE4ltkyG22pcFFtX9JKfUE2vjM8vvh4zQY8WA54lYCBTW+ Oxd1kgZihi993YYIlOfSsa7oNA0mlxuPrZwi0A9ugan2s+T6mqMzGf8IJBS/ pWjBlQZ/WIrbi1aw0Rb9M7foF2nwutm8iC3CRic/h+/efpkG8ka5s65SbPTw YiW/vQcN9jurM++RfiwSnGi66UWD0NjbNAXSj71vlMLir5PrPfksRY/047Df jznu2zQol83ci0g/jjslOLjcpUE7x2WlTD02mgPHTw3+NDi9J3lFMOlHDkUl zQ1BNIiWoVc07GCjFUvfQ8NDaPDrzj0ND9KPwh0vpudCaSBsJKgZ8P/fIwtP 2NmH0eBZ4qrC5X1sJPuMUV7+jAYrmbtru0k/Kl39rqYWQ+4nV6+lGulB9YMv QoLjaJBy1XtnK5m1N5yYGE0g65/weTJMZj1RxtFDr2kguXR88zkyG4x0fyxI ppE+GVOzJP1oWB+/Wv4dDVS3p12NIf1onOIQdOc9DUxYG7dYkn7cH6A41ptF g+7tF/zPkX487NxtbZJHgwvXDK+NkB623xVfnF5Ig+uXYpXatrHRKSUHJYkP NNhwoDBWg/Tj+WWFgGulNLg/ICLUu4H097eu4Y4Kcv0fgl6uJP3oWRxnBdU0 eFRLC3uiQno1yr4gsY4GvStfU/0V2Mj/moICfxMN9K/IHflJ7leIddfdCywa pOp5Pkki9zNsY9wAq4UGJ7b5c7TyslHCqHxudAdZv10yx32cQMmN32SXu2jA /34huuM3gdLfPr998icNig5vmc7sJFDJGXkzrQEaPP2gZRVfSfpyz7fM0GEa 5MhdE8/PJ1DdqufSU6Pk39t7VOqnEuhLN73nwzQN/LNnMgNCCNT1odNIeZ4G Bz+/rT5wk0C/YmLT/ZdoYNH0wf++G+nTw3RvSx4ZuHOtn7LbnEBzep3d2Stl YMbj32j1NgJxUGP30ARlQFuLGl68hkDCTDnKD4oMdEr+PjrJTSB1I7nkS4oy MNUlE1OSyULrVDuEvyjLgNbUeqXmGBbaxBNzeZuqDIQfb7WyucdCu0plEc9a GfDcsefhJxsWst8i2xquLwN8HH+RwQQThanL8BRay0DwseQb2ySYyM5eNann iAxQbHNU5kea0eqwjSYidjJg/V/4+oScZpSzbB560kkGxrYG7XNEzail1Zcu 4i4DbFcHWqtJE5K4N6x7MlAGNnlf5+bb1oDai+a+hATLwIvf250fTdWjl2Mr fAoeykCpzp556/f1SMdOqUw4XAak114ISmbUI6uNNuYFCTLw9vSn9qj5WvTk B3YWLpaB6Uu0G64h1chWupFvy0cZKMxTGPpsUI2UzdvfOpWR6xfhlIwfqkJZ BZN/86tl4HXsp4Cj+6oQ8WjNTacWGXgaF96RNlOJKDueRuSPyMBDn6dOrO3l KDT6dLUjQxaIn5Mqt34UoGsevpevr5IFv9WOqvIqBcjeKk7xmaosGJ7zXiPn ko+0BFqvNWjJgt2HkgWT4VxU67VHffNWWZB4+UGL508W4jq6+r6QlSy8k+CM OpOXgq5K/zTJvysLeqXPpbQWHJDdxNI0y18WOKjyrXffH8C7m2VeDd+XBc/U 62HurRexeMCBBaVQWZi1vvR+qsUPp0+Xvn0QKwtJHS3pR5gRuP9zvJBTriw8 vP5db/+HJGwbdrxJ6Lcs3C4cNf30Jx/TswXkzg/KwmUJZT/b4gLczco/Uzsi C8434nq0AwrxKVFxTv9JWbjXcWDBh16M3YKqNi5zyoHgnh6jOYOP2Pf2uqi/ dDkQOOqsx1Avx7vjO3stGXIgVFOoOe1fjld+vK+TvkoODC5fct/WW44fLPTU n9OQA7EPC/f5XlTgCI/Ifz2b5WDbK/9SB5FPOMWV81SrlRwwHz60iKyvxq7B 6Rm6NnLQ/Sh1rzSjBmunHlt6clQO8oa6ae2Xa3DW79wIyxNy4OTWa60kU4tL nM7V1lyQA/sCX++LtnWYeYStXRwoB/9cqviGcxvwk2u3fWQeyME3658n7y41 YOuItTXXHslBZm1F3ZbdjbidHeCoGyEH85E8glNNjfiXhUFY2is52J8XGeDx tQnP7n49F/9RDna5U/PcTzDx9eL4u5VlcoALgpKY3kzMoRMtPFApBxOrc7PL wph4peIjJZ16ORAXSF9zoJqJpeY8jSu/yMHQ2HyQuBoLR7tfZve3k/2b4dnz YzsLy/ddOC7cJQcHaE//6R9i4dVsp/9sfsmBlBBNKeQWC29MM4vqHyP7YV0/ F8Nk4bxV+1YJT8pBP7F4L6uHnDejd6ZtmJGDDUNzly2nWdgwYFOZ95IcjC1Z BsvKkl5bWm8az0GHjC7hnn2aBDa+ovm5gpsOzTOvfs5tI+dzR8aAkAAdUhqL twweI3DLF9nLG4TpELly9KPaeQIfsZBcshajg82V42b9pC8dtglQ4qXokPjd onMsnMBukpNbNqyiw5C58iVqDYHHg/+UW6vSYePaxiV7NoGvcg2Yea+hQ6+Y RNKaLgJfH/12omIdHS7HbHfZMU769HTb4G8dOiB5fsHABQL7dRJXhDaR1zu6 /cd+HtJ/tdWB1gZ0MMpL2+5AZWMRKBf3RnQQz2JaJJJefJJXEhtnSAdBBY2U M6QXpdbmq1bsoUPSmbXiKepsHP0qM+O3ER0cFs0tXbTZWEH2nb6QGbne2/6q rzeSXgl9U7nekg7L/Jf/cyC9tHplgoW1Fdmv9wnKz0hPJd+IafOypoOqq4G2 Gektrclwp7gjdHiw9ULgTdJjGedCh8uP0UFA3F5Fm/Sa7o8gj9/2dKgb3TJn S3ou//A9DiEnOkw1qM3ykN7Tb7oVtN6ZDrmvDklpkR78uNubau1CB123gX1M MhsWX4nzOk+HGFWxO3/JXLXBXT3OjQ4S1eO5j8hsknw2q/w/OlQZF7enkvUa FU4Z/L5Ch67kpz2GpE/3h9tXCXqS/bi1q+4w6dcWwaP71/uQ/Qo6kTSwm42P +B5sP3STDtQLXHGzO0kPzpqf8rpDh+PUXSw/0scn3I3+PPejg76rwamHpJ97 eg09ywPoMHuCz1tyE7m++KaXGsF0UFa5TU1Zz8Yvjtg2PnlIB+aHtrevNEgv U/pm5h/T4c6vWlfe1WxsX/+f8slwOuRZCfo10dn4g9+SWX0kHcbLDiksk/tJ 33H/2sZY8v2h4y7PhNi4PeNFA/cr8vNLUdXLcwTeek5r5vwbOtjTYtyZowSO XFWg1JJCh7tpD/7w9xLYJqLZIzGDDmv2D4sWNhI41/JYglAOHS78fH9nXRmB qfy/66/k0+HGrMhZsRwCEz7/GHs+0iGg0GSzRCSBN+gFmaaV0cFw4PqI3n0C h/6R9JD8RAeLN1P5leR5t3BcW99bTwePBwlr1I8SuG6v3VX/r3T4ZXNeV5JC 4DUc/fF/OukgeiM/480SCwcWXq6z+U6HA66PCpIHWHivVrCi2m/yfBveGuEo ZeFySlFt9SQdksWSbkqcZmGl+j2T62bpkG5xZFjfgoVv+7EUIhfoED5/SapN j4V3zPRfduGSB649QvzXuFm4qFNagV9MHua//97nEMnEWUlXL5loysOgaHTd +oPNmOLI+TxLWx42qa8X4pVoxhdlQ6pldeRh+Je3+Q9WE9YOSaQPbZEHS4Wn J4vMmnDqJXZV8F55mDgYOqyxuRG/3L5BrtFRHrZcnu/q/16Hyy0E7i6ckoeq kIuNN57V4Z8OPYNrXOShoM6MddS8Dq/yDS/yd5OHo4Pph0fzanFi1dxR8JGH kmt21Lo7Nfi1ZXlkdpg8nE9c2iU2+wknOx6Uiq6Wh54LO4VzPUpx2r2rlDNr FSDvpG7jR5kEPGxw3PfeegV4fXEyM0Amnvy+7Z54tVEBzmRHcZf/i8GpTtTP 37cqgJHQBzPZ6nCcjLIjbfcqAJ3u4WHwyhcnzo0pWjgoQNwU5WgKeoSiL7hq 6z1WAMce/qYCwwzUvvpQ/MEwBWgf41/5ijcTyXRuE7v0TAHO+Rzwl6vJRJEm guPpz8m/B6f5l6bZKFwtNVc9VQEKhbdq3jDLQ6E/fhvQKxTAdeJIx9z6EhRg fdKUe0oBcnY+OBmSWYFeWnbaOc8qgO2lkomjIpWoxNjarXpBAS7sq/0SeK4S jW/f9ziYSxEEmHlKXEqfkJ2q5hcJMUVI5zA5KO5fhXRmxp1WayqCl9iNPcba tcj87/kr/tqKkGbj4j52qxa5DP26179BETYp7djUzKxFz7tbk99tUYTn9KWr ay7WIb6aoj+6exXh1cRyCf/retQV6eu9x1EReNmFNc69jWjuyUJw0ilF2MM6 oX16DenNkCvP+V3I9w0ORXq5NiHjO6dLG90UoW2tuSJrtAnlnDVZYXNdER6f LPPjG2pGzScrpAtuKYI0m8ssm5wHB48brJG9qwhn6EV3Tm5gIkUrbbOu+4qQ +/iGyO7zTBSkL/7k9DNFGHR6UDbaxkSvdYNf1UST17/OlUwh58tSbZ5cjThF WEoKdUwXYqEp5ekvfxIVoebiSS3rHSx0QrBd/loW+b5Dn54hOb968x5c9zVX EfYlMupWk/Nt+HI9bCtUhCB3yz8+VSxUN/Hh5DJWBP1y/km/URbS60xICWhU hA8N+SIT+gQS03aZfc8k+/1q7NsuUwIN39Le18ZWhLHdyf9JHyNQ4qriX+rt isD1zcF0jxfp16t3Nh74pggqzZ8q4gIIZFe9z9fruyIY+Ho4e4UTiHq+RbGu TxH+KPndz3hPoLGSaLfxAUX4xr9vh1AJgRpEHD/IjpD9SWHc+V1NIL+sEdvz E4owxftLUq6LQCd4clKeTisC851y7KV+AhnYeM8WzykCUeyjb0R6ZP46t+kK DgYohPcxLvCwUf/r05eiORlwur1HtkSIjVqbaqO0uRnw32Hu0EAqG1XOaJWV 8zDgQ63+UUKOjbIYof02KxhQ/+eWZZQyG70wnhAdWskAOb8a02/qpGcv2Wy+ xc+AtfsE1OK02eh6TKG9hCADbk3pF3VsZKNzlXT/JCEGhJnt7wrfwkZHRm6l bRNhwCA/uDYYsNFeqZ6WZlEGcA4tG9wCNtJFexdPUhhwNO3emnTSf8ouKatm xRlwWaRa4CjpQ7HHQqYPqAxoqi8svEX68V+h+yWGFFnv5UFRZdKXwz+JqBxp BuScjPyFSH9+FdxUZiTDAKes+lVfyVylG9XfKcuAAfq37yNkzjm+KPofnQGv hvv0bpL5pb/DZl4FBvSf494eRNYLfV9uH6XIAPEfZmLipIdvtqn4r1VigE/k t1pJ0suunPfTypQZcKO9+W74bjay1RhusV7NgEtj24883slGRgctFwdUGJC1 ytCRn/T4putZq26qMSDqw3TB0lY2Wv1a0lR8DQNurvTwciM9L97keemNBtl/ k/aSY6T3OWY6ovS1GPCeuf35Jw02+qOIyprWMiD9Z5Huu///f06jl/1O6xgg UXf+uSjp14Jol83BOgzw2EGYmIuy0ZuKentFXQao2ZdUqK0k/Tqs7Z+txwCx OTWfW/8IdHHHVEvHFgas9rrRkjREIPszRxbd9RmwMWVUw+sHgcxCi1fxGDBg wjpVsraV9OHPO5e0EANCindR+jCBpAR7o0qBAa64ujU7m0A8ukZlhwwZwNPa FcWZRKDv90TIJxF53lhivgoPCBS5Jiat0ZQBunIPi8/sJ9DkxN7Xd80ZcHjy Vkj3DgJZfhyP3WrJgL8nHztXahFoxUGTB6+tyPNUcnimdQWBrl6fO3fjKANK 6oV0N+SwEHPva6eNxxjQsWN3i1IcC2lRDtgO2DHAKG5PrV8AC/16nWxsfYIB 3xP+ZSceYSGr5sPqa8+Q500/N9ZxkonSo7gZPS4MKAxJmpj7ykT8p95LR51j gEEjNVEAk8+X2RUred0YQH1UIBEZwETrlPN6O68wIDoqJNhbnImErlJfPfBl ADyefnOL0YRcUGm0oR8DqlT1NKI6GlEFv+uT2XsMcD6zcK08vBF5x1XcOXWf AVKetulmKxvRQPWlEwahDFjMa8De3fWoSpYlP/ycAZsvmU45nq5Ft0pDIk0L GSCpafPB7nsFGvxWGjZXxIC+uosVQ3crkM3CRGhSCQMCV3590qNagbQ22d7n LmXAg8W1r2jny1HbW1Xv4ipyf3Ylr+obLkU6z/AxzRYGBCSsyNiYWYz6LvxV EBxlwEu9nriKiDRkLmf9um61EqgnDGgOfU/Ckb+0S4+pKkFamALR5ZqCf6Xx dQyrKYHstuAZ1dlUfB1KxEQ1laDI9ZNNsFA6fue86vrBDUogsGLAsEwyCwtk /LXq3K4EFfypGx7SC3D17occf2yUIP0GeNLZZVhcxEXu1hElKL607whTsxzb f9m5ScxWCdpW7I3h9yvH02enzuscV4JMxXXy3BsrsOojuy8eJ5Xg1YuWz6yg Suz3VSN92V0JVlCuve9WrMbMlzy1of8pwcHMpH1f3asx3bWrR+myEjwI3lqt i6tx9r/HMrs9lCBBt2o9v10N/rlqzi/wuhJkmLrEjITU4p1u1cco95XAXDTe 7xuzHs+3DeytDFICwbTU6ka5BpyzS0jn2gMlWG0WsbrbuQGryhzg+/ZICaY/ PJs4NtOAhSrbc5IjlOCZHcexG6JNuEp7Kf5YpBKcPdz8V+9gE/5fw3Uej1X2 xwG8IkWUFlkK3XNUky1mQkXu11aiEaXdPgktkhSJamwzhMQvE5IKpWQJNZZ0 JBHC89yHSCpD0aOs2SW/8+d53df9nnO/59zz+rwvJihfXpjIQMJqvWvT1+rJ kOdhZ59kBnR6fffnyTWQFvk+KUhjQOPCXVlDcR6JDZGeGEpn4Fx+YYX+Wh6x 7P/1U/o9BibnPLMqMuWRZxW+xQsy6Xq2j6hoXeCRtJOz3ZofMWCmaJ841MMj Dq14V0Q+A45B9w82ifKJrNnWLVseM3D1Yay0thKfRChcXppayMDC4Jeu1jv5 xOvlsjJPwoBeos+gfCafqGrpZTLPGYiL8EzMofmzM/FAfGM5A9rp8haFTXyy 1+vm8c2VDAyXm/GUf/KJ9Luyfb1VDEgm7nILpPm22qzT+FY1A2ffOIVaqnDE YMUv8mJ1DITPl/pdz5wjo6EWokX1DDwtHxjcTfNxzsDx/mM8BuyOOS/76MER VPnoJV/AwKrFZ14Z0nzdptWYG9LEAI+z37OE5u9rSaNJes10/yUd9+66y5H5 p/S9k1sZMPTUzZSh+b38nb29dRsDwktFU//QfH9+6yVzkQ+0/ly1lpC3HOlb 8VLJ4z8G1j12ZZKpDzLCusVXdjLQF6on9or6wXlQfKT+EwNaZW2udiLUQ5VW tRu+MKD4NC+0jPojWvvUk24h7Qf+VnqF+mTbjbjbiV8ZSDKUcK7CAjJr3pPI 33sZWOa8WM2N+qb4VIvvrH4G9ryf2+JJ/XO6bdIlf4ABKbFv+IMO9eE2Rasj Qww4OdXUFFA/dT1iN8kPMxAqsv3WEPVVykoXldcjDExlLEz+x5h68Dc1TZcx Buz31tz1MaPr2z6sNz7OQN5JlSOvqd88nUqNoicZ0P8Uzd2kvpvvG2ap8oOe t9TznV+p/+5E7dxTPM3AxyS7mHzqQ4M0OUfrGQZ8S1N5I3T8pvg/965ZCPTH ypPy6NiL/8A7YA4C943qQiF9X+LL6YAloggMvWxyk2j9tJ8GYRlzETjYSfdU 0fkNZcRiDOchGJt1Id2Trq9FrSGhcT4CW63tIjF0/d7G11OPSiBgDG+oqLMC InnAOWuWJALxC7dVTfQF5O5J1X/jpRA8NgnWbaJ+hLDvZeqLEPA7jnl0aFPv 3XhaUy6NYF5O6Kej6gLikx/auH8JApEfk68811Dv11h96FuKwFNxVK9PmXq8 XfZLiAyC70du7xLKUY+OtQ8qyCKwUF+72Wkx9azUg6lcOQTWrl+W7xYXkMX6 Bover0CQralVmTXGkYc2c+VPKyLYtilGY3kfR7a61yNxZQRzRW2zpjo54n/N SVcHIXCuL1Jm66kfH66DWozAyFznXnI5R7LLh7Y7r0ZQcbbKy/8JRzr6Q+yj fkGg3dXxPecGRwLErNywKgLJhLfG4lc4slxR9lSRGoJp91jpjkscsbC4H/JZ E4Fj3MH+pX9wJC+tLnOLDoJf4ziTUIYjO0riHwt0EWTaOEh0L+JIF9+ReGxE ILMqorOW+lJhZpC7po8gvtXk+qoWPgk+sHyy1wgBUm0RF/2LT5S8PoqEmCBQ a9Z0jjzFJ4VhGVIKZggqCxVX3jjEJ9/yNzNbzRG8V0hkbDX5xHaho/lNKwTn 7Rdq6NXziMqLe/FWhxDIPeutKBpoIPXq42ltdgjOqbpc9ylsIH7x5vlHHRC8 7qwNsrvYQGo9hA1hzgiM/es2FEk0EG9pNXHihmBkxyTwZesJsc8+v94HQXIb E/hV8jU5OF7gJB1F59vrtl6E3u+iLnNP3oxGUJLaIUyl93927Z5A9RjaD6wz /KChksxOGU0wj0Nwe0Zbc1ijkmSYbRRcSkDwpXC5f1ZnBRmJLTEbTEfg9FSt MlWnnMRolKtyzxC06ZQ/FIoVkYyNh8SDymi9yPkyppsLCTEZ7tYuRxDs/Xdj +/F/Sd+BNelXXyJwqQ63mWx4TCzDIpRtXiPom9xT4hidR8Q+7lrGe4ugw3Ll XYXOe+R8TOd03TCC9mC/kAJpPzY2KaAtcBSBl2q/kXlVEPvgrkyJxjiC47MX 7E4NDWdbnm7zi5pCkOsSNNJ1MY7VFWYO7ZiDIUFO46TkuVvsgJFPd+0iDEn7 5cRrG7LYI99F+dWqGFrX+Kofbi1hHR6Y1tupY1Cx2dPdf+0pu9c5pLZfA4P9 a/lXhdal7NYGkUoZbQz+wdNPel88Y9dkzilx1sOgNdkerMErYz+7zEqfMMHQ LFwbFR7/gm2ThzuRZhiEEqO1y3pfsI28iynK2zBszbSWlTOpYCsMZxLMLDBc N1wzHdhbwaYp/Iy+ao1hbYelUbh+JXuYm/JbZ4/BeErsS07xK9YuXP/sUwcM PhZNQ/nzqllbOH96pxOtd8f9tJRtNWuaPXnizB8YvDTf9xT2VLMqERMuzz0w xC8YMSteVMt2Go3tOHAWg7aDqEWubh3bOq5r8c0Xg4va6gHGr47lcs5uu3gO wz0f156awjq2XHHUKD0Ag9R7z+kSvXr2zsSw7mAQBlRQF9mj1sC6PBpaFX4F Q9f/rHTmneWxx4N2/7C4iiHl4j5T+Tgee2Z3QbNkHAaZn6V3bubw2L9HzkTH xGPIdUqwnemieXLTxNQ/yRj+unJC6qcVny2UONh8IAXDidEXh2Lc+Ozzd8V5 K25juDQ/eTj6Ip9tDAzwSEnDsMlR4UtdFp+deD7z5m4m3V91ObEtIhw7J84p zz2L9v/22Q8rZDlW8vDzKNUcDCv/FY45qXKskliwaXYehojw1UUrdtJ83typ 7FWA4bdTQVtjnDhWO8N0SvsJBqfq5e3upzjW1EIs73ERBnbVQhHTqxxrtcIt yrcEg932ud5mtzh237cq902lGBr17Aozsjn2aHS4cmkZBm9jYXxsNcf6OPZM Xiin9e6kaspRDwRqWb6BCgxVttql09QLMZxkVEUVBoNf/AO6xzg2MfWEe1g1 PY+iiyS/zhawqT71Jua1tH+Zqta/LxCwD83WK0vUYSgZ3zQuRf35ZHnMZG09 /f7a+/nqKwVsWfdAUxSPzj+7W/s+FrDVhTaPdnIYFvg5oGDqIS48L3JxI4Zf pQI3FFMvtR1c6i5owlARWKJspStgu9R8TK41Y3i5MaLCUF/A9v9oVNr3FgPs 2CcdyQrY8TqdSbl3GEYlYgd0qDfnpMQ3tbZhyKy6v8uAenOB11jujQ8Y5Juk VFKoN5cZ7Y90aMcgGqaxy4H6UGlJkduqDgyqGn4156gf13bKm3R0YtihaO8/ SMdaBf5KaZ8xrLtvufMlHW8OfTfh2k33H+frjtD3TfYaNK0VYggvzUV/Ul/u WJucK+zBILetcYMH9eXe8enLmd8wiLvGxWRRXzpWO7id6KP/z6saWyvqS/dE Yrx+AEM6s++W5RYB631sldLgIIbFSCY2nXo7wODPibzvGI77/2duRz0eKtXR 6DOC4d2e/s8nNajfPxjn6o5hmN1ud6t9jYC9npN6eXwcg2yFaUm2MvXwJVG3 4kkMuz+1n2uVFbCZNq7GAT8w9KJjyoepLwtQpaLhTzqfi2K/pZiAffZ9zcTM DH0erK0e+4Nj/w+LLxl5 "]]}, Annotation[#, "Charting`Private`Tag$6750#3"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwU23k4Fd8bAHDZ9671okISQtZKVN5TllKSlBZfKcrWIqRkqVRKKWtERBSl 7Pvu4N47oZIt2VL2fcme9Te/v+Y5z8y858w779z5vPM8d7PNdTNbZiYmJkV2 Jqb/b2Pu2rCrX3qmy7Q/he3/W3qjtPFpaUfQ9g3R4iC3a0TZQ2lpD8jaFnvu j6QHxJQHSLFJP4Wv4PiPdcNTuLrv5rV5qVdgrTr5aZHnFTQuOYRNSn2EN4+s pnfVJcGtz5JqE5mfwDpS9oGF2SeQeNH0ZUwvBarm0MTjhmSwUUQsI/bpULqL zvrkaxrcTuEpnPqZBV8uBtdzmWUBR3u3/JhUIaRdl7IL682HlvLSm6ODheAk e+uQQ1ABfHofSRvJLAImW/txu92FYOJqcn5YrwQiX+nPZvoWwUuuopcD9hhk Dk6fk2MrhRz3w643xMrh7b+zTnNvSuH1sJb4tHc5uX/JJHh3GTjVCdpPGVTA G680+owNBsHXVcx/f1aC7hFTwcRv5bDEn/fReS8NthoFiEQJVEDv/Xemk3E0 UFy/bvHQyQrIs78bO+FIB1X/J1LlPyrAQnOHzvgSAygb7ooHV1WC3vvNXdcu EGAuYJnxbR0NlMXXPxmjE9Ct9ZkrTpsGq6tDP0YDPsPzfd8apxJoEF/zxmVE qhri5dZf6SLjzkTmKv5+Xg0h1fYN1Gg6GNp/6Wn4Vw0HB+s979XQYZRl3ryo sQbC8qK867cwABp416ehLxDYt1cv5ygDQuNkquJTv4CsZUV+wU0G7N5novPU 7yvc+7VdVaycAc94Lk17z3yFDNcrHle7GdDZ6pHibP0N6l0DLX8wE6CeFGR7 qfYbeI793WS6mQDfW4mSZ/bUgt7UJHPbPgJ+6hf/PJJUC0Rwv6nzGQIUheqD QeQ7fN7bcoXiQsCdrn4jzQff4Wx87oUCPwLq0peZ5Se+w7Obe2/ZvSZAELis +FTqwExGa1osnYA9cmE6fpfqIIHiLFmLCbjEJ0VdF10HbjezdH1rCQic+Tjt WV8H1vDfV+12Agrad9TNcNRDovHE+FgfAV2VOMVJtx72ZMTOvBkngPvT4aeD bvUgceeV0rFZAnaE/LC1Sa6HvcT67sV/BFjdvnCgo6sebka72b1dJsDv/Ijk KbEG+FvKesxghYAMw1tL300awHSErb1niYC27etajB41wH+VfDZ3FwhgEXme QytugNauzD0i0wQoL4uG7JtqgNBBP5w0QsCpnvhr+QqNIJPzxlC7m4B7NcqH 1c83goQKq//nZgKSMvPlksMbIVDjT/vJagIaIg+wbP3aCGL/1r/uLiRg6d63 37HMTXCy8LqiaxIBsvZnSsS0m6DzU3s/azgBJiY9kaHXm8BiOnDn63sEuO90 usn7vgk27i79q+1AQA2LrwqT0A84rBSiEqpJwMwwP4+n0Q840SXrflyUgE0N rwam7/0AisSNPOl5BjjHpccNjP6Ag+EfzvzLYkCUn84d6y3N0Dc+SuEKZADN iXG2/WwzfIv60LPDngGi+9oFvxPN0HKRy3JciAFI1m7i0EozeE8c73owQAdH nr9fKjV/wjRqa9lfSIeSVvZHeXE/4WZby/ix03SwuaUxH+PZAnv3HGKTv0uD 5+dKG6mZLeCT/YTXX48GufqHMkIGWiC1gWqyl4MGnEJWjo9OtsKt77KnEp5W Qlr60/arKm1QaHV4TtKrAoYFh58ftm6D64qtF2x2V4D8rcO6CmFtoLX87v7J mXKI28sT3/OvDbQfH+O3cCiH0OrndhaMdsixPMvN9rAMbvUE/T1o+QtS+SuP fPIshCzDybdbg34BU8GkqnldAUx8ND3JUvkLIgsPt4jLFoCDs0B+mXwnnGPv Pi1H5IHFSqj3zulOiOWRbSVms+ENz5eHAgZ/gKGgxpMkmQK6+7wsfaz+QMyt q+yKUZ+gw0lp54T7H0jUNbF4J/QRxBqe9X/99AdMrtHUp5neQ0iksdETShcE 1pWrJgS/gYdba/nX2rsgTetJOE3OA+yh/tWoaw880rDx3CL4HjO9nStqf9YD VvK3qiPCPuBI1o0dNQk90BsR6W0q8hFXVdtJfmzuAQG1i9GbBFKwwsnlt7Y6 vSD9Nvyv/3wGHnSQT+lc1wdTHXUsJi/zsM8X42/fJPrg0q9Dozv18rGYiut4 iWYfWB6NqLYfz8eHpkvUom37oKxghXobCvHHO2a5p6v7wMN5/4epmmJ8OfRO WV1wP9iz3t/4QLccM8++/Y0/9sMt+/EqL99yHHW6iim9sh+4eVPSdavLcc1G Ib2AmX6gu+Q85jlWgZU+JH02OjMA6zLjjXWOVGI6V+3gbpcBqJ7u8Z15XIkt r05zKfgPgE1y2drxikr8XF3XmL1kAIpWd/P0q9PwaHFjXaXUIHRG5MavraNj X8l/fzN3D4L/tTxWGw063nhfUij++CDUOs4dPGRNx8aGjub3Hg7CnX7sGlpE x71JgbecXg9Cdeoz1sleOvbmyYk4lzsIcW0q1+l8DJxat9q6Z2AQblwrvMmw YGBDTdklRaYh0N0kZjt6l4E7w402SogPwbOKqba78QzM/1+Y1cLhIRCcFFHv 6GLg96WF9wYuDsFuOwnRt2sMrCv9O67ZewjcfzFPVG8gsFPftp6ctCGoHONO 1jpG4D9WrZwV1UOQlJ80auVA4BMtT1S+9Q7BMQnryvB7BCaO7z7ZujYEti6J /7WFEXj3lwGPPolh4It4taKYROBk/Yg3f3cOg5Ot9dijQgJLlhkyVkyHQdkv 4sZQFYGDteaGua4OQ6b+sT0nmwnMkplIEfUbhpPhI6cYXQS+pWi+S+btMLDz n/61Z4TAg+9YLVVKh6FQz7svb4rA/23Kua/TMgwxRQLPdi4QuPblxQ+G08Nw dIOGef4SgRFF6JsZ/wic21CxY+8KgbOfVk5ZbRuBUrmNUvRlAsuxuIpd0R8B q49xXMcWCRzpvVnX/fwILChxjHXMEph7ru7iQ88RsHe7vtVpgsB3rvs8DQof gW6HAB+WAQJPDqqmR2eMAPwyaojpILCNze+mD19G4HRiwPi+OgI3tQcuZveP wFluj+TeCgIfNNeVLl83Cl3F/tovMglcVDtm8HXjKIxrSO4/8obAyodirrRo jUK6VIMr/zMCx1YYh/SajcIJDYN7nW4EFtiznDd5bRSSC13FSi0J7JuT3LH8 ZBRcw5dRygECz23/j5krYRRY+zvc0+QI7PiBW0EEj8K9pU+GBCeBO6SLjm5u GwVmudVdc4MMXCEk/kqbMgbrLHeMJr1j4B0BVWUGSmNQsO9zvTpZT+/Zb/ce NxyDjK62P52nGPj5v2bVy95jMKCXPJHFzMCrro/Nb0WMQYTpq/4/P+jYZXSn 14OsMdDv5Hfb/4GOT/0OI6IGx0BPcnX2kz4dV53RH33PMg6fU/N0Sih0vKdh WiBbchyEabkxlHYalmaYnftychz+RGzwfXmZhoc/UWaWysfh5TkP+oeb5PMn Wy7O2TEO8JYXX9hRib/HXAfh+XGonX+29OhvBc4JrvVX3j4BMZX5AtvtK/C9 W883n3s1ATfb1TXfoHLMvdlX/vfuSRByFp70u1iMq/aGqN41mIQEz73ix8qL 8OMzsVqbzCbhg3OutuCGIswcXHDwvyvkftkj/iU1BXhxddT+Z8wkyPK8jecV zsMjHeZJ35n/gl3hSyt9iwz8NVJ+W/nXv5CkHD2kYhWM/XN2qJ9v/QsHyu9P Srj640N1+7VX+/6CzYODom1bfTGdw9Jo79pfMOXisRTa6oRLbgU7FqhPwYX+ rmMDWfch9eS/jxkvp8DL7AD3vuk4CKR8UYy/MA13pbWFzBxyoFBrU66J0zQU /tx+01cpF3qtrsOy1zTIPs50+zmaC3tShU6ejpiG897Btq8c82HQyPIOX+00 YH+D4kKjIhB2SeMobp8G6XEpc4nlIoBIplCHoWmQ+K7MJ5ZSDC/7E97TWGfA xtKaksxaCnoPx7577JmBxWYRN5+XGJw+gYW80QzcevOHzi9RDlH1Ib1Np2Yg 0s9EysW+HCaldv1TdZ0BDfhZ/WOlHGJL7sr0J83AZV0hqfNilVDdU5fyIm8G 1s+NK/L/Vwkz3Fu09tNn4Ex1seOm15Vw5OznI69/z8CqzYm/huI0WJhdf9NM dBZcaQlIdY0GWzbZrK1tmQWlQs3lQzvoYKKf8zRVfRYE7am/IuzpkBh6Jpbz 6CyUdKxXoFfRoa7wk0KexSx8CnqnEDVHh+U/y1kXHWZhtDn/a7gMA8xU4z+X PZwFyYkczQk3Btw9NX38agg5n9znYINoBny8Y9Ah/mYWGstSGFmYAU0JEXaf U2bB7YqnlCbpWaavQ5NuRbOQ/1B/pJL0rNL0Hi+ZqlnoKlMttSI9e0oikK3u xyw0rWy6yKpLQKqDhoTS31k4366bb0v6tSXIN6FldRbEZYOSNz0hgDW/WeUx 7xz00zcxtZB+Ve1UKNSUmIMfof9+hpJ+tWDz0uuSn4N/NuqnjMsJeKz87Vvg zjmw426KYf5OQOYJqTN79eZAyWqyPpv0a4enS/eQ6RwcGt4rZtVPAOdb2tUI qzm4lbjhINMEAZrVIvP6V+egt6jSNIr0q9Wk/f0pjzkwqF5ByosE+FOLeOL8 5uDo9cgteaRfc3V5Xx4Nn4PUI1asu0m//rG1kl56OwfiKxITmaRfeQMyPiVl zIGeTNTEFtKvWjnMO0+VzcHvsx8EAqcIsGk/iVm+zsGbA/zWk8Okn6O7rrm0 zsHSb54o7y4CsiycNv7un4PBDK5ZIdKvFhJLNcYzczA5lROeX0V6uM3Po2jd PMji6uOOpF9TXgkrKKyfh04Pd2Yl0q8nz8Y3h2+ch5t+Yz6rYQQsi6k8YlGc hwPG/73vI/2a0FKk6aI1D1HKk0e6Sb8aRx7s7tSfh5/P2w/PHSP9erop2Nhs Hkzrjb237CTA4OfYmPw1chx5t73uHwPGX3q+Dvech6syUX9OtjLg5SmOIyxP 5uG38YfOxTwG9P+QTup8Ow9G6dGixVcZEBieeso4Yx5eZX/16NBnwC5zHbai 0nnQklmVV9nAAL+mEzbhLfPA93M237mSDmphfygs/fMQO8RGc3hBh5YT17Dz 9DzsWPt45Y0NHRQaH2805l+AsPi6zT+XaFAXKvSlcMMCZKRHdvxh0OC2WZyH /LYFyP/J9U4nkAbV9YXNzPoLIP+KyjJNPk+X60aDCz0WQKldvYtDshIEgz1A 3m8B5LJe1Mi0V0DRMfbxsLAFODW8KpX/sgJ4vksdcU5fgGvv+UZtuCog5ZsZ m3zfAjBR3ShLRRjGawo8wkz/wa7yXRvYA8j+2N9AgdnqHxS3mTd7dRSC7uGG 5utX/oGvH19M6bZCCKoe0Tzy+B/sPcnc1F2aD2pVkuPrSv7BsvqLaJvaHHBh +Npcl1+EtJWjrml7U0Gy15B9TnMRGnbuyonAyfCFmeuTN1qEiWmqsQv6BFtR wN+nZxfBN0ZJ3nbvB2gtCvdJeLYIueB8/p50POzPeB/bOrEI1pnR2x2/PgCB 6Ko2vYIlsHFeZd+jmoDLCv3v1tCXQGt95H3f3ER8pcVY5nj9EqRsdaOp63zA DJF6R6vhJdgwU1etp/sJewS3LtzeuAx8ekmzAtQM3PVoWDTNZxlGb7zJ06rJ xYEJKUU7ApahMYWjqMsjD++hOVkVv1qGOqNTOX/k83E403RiVdYytHWIiny8 W4CNvJZ29PQuA+u9GIJdtBhnOvOeEDNagU2CrpLWXRh/jRLySD21AtFv+/kP k77tp0u8OXBpBd7Wep+77V+OJcS3jVy9twJz21N6PSQrsG+FwcOK3BVIvagp 8P/3ZeyI8cdTtBU4sv62wwT5Pi0QOfl9pG4FZjW8HbpzK/GYo80G0dEV+DhZ e/mXGg2fEryXfVlmFWZedHGHCtKx897HrWuqq2BXf9fkkyEd+9sFrIXtW4UT irxhK7fpGBdFH8FnViGp88UxvRY6but963LSbhW8jRKatrMx8Az/p4ihG6tw pqV17IAaAytcLOgRCloFvb9nT/3yYeADAZjr4+tV4FG96/bfewa2zCdUdT+t gnnMEY65aga+1fXNvDF/FczExdg/jTBwCM8PLwfGKuz20XZw4yFwys6O+JWG Vah6UyRvto306fmez6F/VoGSrPAGGRB4MfuvUOnSKnDMWHIddCewcOeCthnX GmzaYJBpEUBgFU6mCwOiaxA4MXzjVjyBD2lwPPaWXYNejkjbyGwCX7TkTxHQ WAOXFF51TCPw3cciDe9hDYbLjF4N1ZN+zNi4sOfoGnBuNrUW7SRwVtsWyXqL NfDNkTbWHyTwV1YlfTuHNahK7NvlOkngfhWNy0s31yDrhnbkmzkCM53VDg5+ uAaZiR6SX0mPSjxEeVtD1uAQi9jtedKrO1MPdhTFrsG/E49PbCY9a/rThNk0 ZQ1a/6yaGpHevbzulEJf4RpcUsm4dH2e9KHSORPPz2uwT8L1bNhf0pPml9zW /1iDBWUVzsIhAhfcuxKV0L0GyhPfjDp/E7jxo2u59uQaXBvSmWdtIvB4o0d/ 7coamCVYDW0nCMx6D7FnsTEh1ySZf2fzSI8K67/y5mVC2WH2XP4JpO8/HlQ+ KMSEalvmsnAwgZV0j2ABCSZkx22zfcWT7A8aTcw6pJlQ3uKzXP2LBDZwMOt7 L8+EljxPP4k0IrDZivltFxUm5Gz5oXtxO4Gvyp+LZd/LhFr8zm+emWRgj5IL 6vUHmJD/SMHjoO8M/Pj4JXq0ERPaRFyX0Eth4HivK8Nqp5mQVesI57oLDKxW zrXgd44JaXp+eNyqzcDlrElsvy8yIYFxqqSIIAP/CeiVDnBmQue2r0BFKR1L xp07PfSUCbmXRojoM9NxWu/SJRTMhD5u0skP+E7D+7ZFuUa8ZELSccFL5tE0 bJnVHGDwjgldMive7qpCw1H0Y/T4EjKezMqCkV4lVuQar1+oZEIGl4v0llgr ceHR57+PVTOhfcwNa0cZFbiluWpx5QcTClcuOTayvwKLDu1Xt5hgQtfUuX8G KpXjUL4dsYIy69CHCDUzb/9iLGPWkOyosA51GF2WWO4vwpkvnQvLVdahBO09 2s77i3CdVGqT0551yK5FsNZhsgDza8jxfDm5DiVRjD4x787D/qfEbj/0W4dy O04LBnpk4Advlo/PjK5DrD/Fgp5+CMamagUuStPrUFGHS+6ZTc+wZMWNEJt/ 69ABv6O9b4d8cVH3cF0dGzNS0WzNVVx2xlNbW4+lSjIjw+xjcz8sfcAmJfeo nSkzsj6b+0T4ehyo7XO5FnOKGRVt8rzXPBsPq9+UA5osmdHFzhe3D3m9g6iJ d18PODKjaWZroub+e2jQCD0i9YAZyZ/KElH3TIH9hU5GLdnMyKqvJGIrUw7w H1Z0XF/EjL7V5EXezcqBjra+J4blzIhJZcnh5MVcuL1sWZXzlRnZz7VMHyjP gww4cjCkjxkpb2NYfbYthLt17PZVI8xoVGlt/zvuIjC2rny89pcZpZ10r4tI LYLBB9rEtVVmVBLGvD16rBikCXmDw1QWdGx/mHz1yTIYP9Vz6f4mFjSY03xk 61AZlAzE+hZsYUGs13lUwQvDGS5RupwaC5L9xNeJjMsh2JhVj8WIBb3w5Atd /18FWP3CNjrHWJAZ79y7d9EVoOzk9cDFnAVJftdSHG+rgKqgqYrf1ixo0TsT hZlXAlPjH1TiyYJGFM5u+qRDA9+hsnjP+yyoseSV1oIbDbiYYpi1n7CgBM6T ba9SaSC4/Sw9N5wF/arPW6KJ0yFCT2ur22sWRK+/w6t3lA4bLUQea7xjQdFn hphZ7tFhq1/9wfQMFpTBbhKx4xcdPsWkJ13LZ0FlgfsaYrgYoJITwKVcxoIG ckLea+1gwO4uoy9JX1jQj4Nc4+MPGVAyL69s30Cut/GFMdtHBuznZw/Y2sqC qC5el3W/MuDwnkqTt/3kehVUXvHxEVB7PC79whgL6o+x4o9VJOCEw12K1AwL kju9XdjQkPTvXUuXX4ssiDbMbstygQDLcJ2G6HWsiP7u1myjO+nLZDFNC05W NPXStig3gADbyrkXYutZEauQ6Yf38QQMtzTNNIuwIk8V45iEbAKcJrLMwzey ok+Fr46m0QiYYgvJO7GFFRnmorzKegLcN16nCiqyonUyRj/+/CJ9qHH0dp0a K3rMVJzEMUiAj5FSa6AWK/I9Hquya5IAtgtcOkd1WVGayNKlK3Okh28NRPEY sKK/V8NM3pM+5g9gLFUfYUVgSL/fT/r4xbt3lk/MWJHC0b79yqSPxYrulxqe ZUW4ULnDnfTx67rzkmwXWJEI/XtM9TwBmwf23aPZsaI9CSxNm0kfv1/Z8Of+ NVakF7ryxYf0saLwIkJurOgAMdXQ/4eAdMWW+FVPVtR3pND45A8CduzPYy69 z4qE9OQdaj4TUHA67KLXE1b0wFMJHy4gYK+TK107iBUN8ySPNr8noMLXdOtC OJk/gWfPnF8QYBit8jjvNSsKepexS/wuATWZvANu71iR0S+mpw12BJhUDR/U /ETGu2W9KfYoAY2dVUl/M1jR/aubvt7RIPsLnkeXncpY0QJ/6BXfOQZckLn4 RZnBivxoEpsyfzCgb/d+5ZEvrGhVmG/PShbpZ9uVMftWVjQQW7tvzZ4BN7zb TeT+sKJOUZ++ImDAQmhhem8/md/9NTPxIgxYV37TxXqGFQ1mRngxl9DhcfOJ BqklVsTfHrrZ9zkduMfUNTvXsaFd+17e2f8fHYQlxmcs1rOhf26JOfemaSDn Znf7pCIbshjWaHi0ngbbdX6feKPGhpZjlToeNVfCDqYzqsO72NBdkYnujWT/ eeC5Uf89PTaU1c/0R3pLJVglKJ9MtmRDcQ1TsCpdAS+bplSZg9hQGbLkHi8v hZioKzxHw9mQhkv2lmNypZBwobc/IpoNNb2een//aQlkjf6I2Z7EhnS11119 alQMtayFPGcryHhSnk9dMguAbee9gfRpNiQbJOlYqpQNvEvzlYv/2JB1v2oT s1sWCFY4xxowsSPjz/hSf1EmSB+1MW/nZUeqVicssH4G7LU1oLHLsaNj3mYH H4d9ArdwnjfnzrCjua3JfxITXkPvbMQpnlJ2pP5RIjHYLxy/3a954xeNHdVY p8m9GYrE5wNqg9Jr2NE26q373kavcZssW/WJFnZ0QDhvd6FPPK4/4brn9TQ7 emyw+Rrb1iRclmksvV2RA9XYC1Xp3svC3isDe9fUOFBwaamprmE21jZ6eLZe iwPJ9eeKPePJwTl/CkNvGnAgWkendFVwLv60Xp6t7AIHSh8eN5h/WIAjrq0b NongQD2HTk43rpbik4Wv2TfHcqByo0GPkbdlWJBt95bpBA5UpE9tMtXHOPC1 k2VEFgdy+j3Zawvl2PdLe+3vbxzoyAY92wcOFfgA1X0ks4kDLXIUVrKmV+A1 G0FO33YO1HCfKX1hugJ7Lh7arzDEgVrvvdLY5FGJnbflZTuzciJjtn1+eddp WOXm8boDPJyIryxEactHGh4pHx0VFuREsQH2iU1/aNjuzBa5QilOZAW6etOH 6Vg2oezAMzlOZOF+m+/0HTrunjh7/tx2TlTRYLw8mkrH5/yCI9ft4UTfbiXW xHIxsESjUm7jfk60uuVladYOBm6R/FyfeIgThW0zIQbPMfDJvBXuw6c40W1V y/yUTwwsyPxKfuM58nyNj1t21DLw96M79McvcqIhatbeugkGPtx3+U6oCycq fF+lrEP6yfDOlhT925zIJXbJ6tEhAh8Q6Wibu8uJWgZtm0atCaybGsb18REn ylN2N3HyILCOwdHd/z3nRI1MVkEcQQTe9YvNnu8FJ9rSOpKQ95bAGjfLwvEr TrTLwUPBM4f0Mp873SWOE9lUOlaa0gmsmKg6veUDJ2Jaltqg3UBguX2Dm5tT OZHttrU2ddLDMj/iTJ/kcCL9Nc0CbdLDktfO3tMp5kT1Lmwzx0gPS7AJpo1W kPkKMpd2Iz0sGlPTEVvFiWK6mesSSQ8L7nzIc/w7JxqbHgnvJT3M/22PDksz J7pzn49NjfQwj+2MQ24HJxp2rBj2Iz3MuZISYd/DiU4w96WMkh5mDbclxIc5 Sf9NVFtNkd7eLjn7ZZITedSdLe8cJvAyvXnL3XlO1GccxX+ti8ALlkFmaquc qDagXYe7mcAzMwfvd7NyoboV8YP5VQSefM6UEcbDhV42o1c3Cwk8KlvYaSjI hbbtFYkyTCLwYIkL3z8xLhRiZpmlFE7g3pOKe5OluNDtw+2H5XwI/Ge0+/I5 OS6kEUSd1XIkcIdv9Kv127lQz1bosDElcMvGk1UVmlwofyHj2MedBG7K4Z2/ ocOFfv39EssnTvYTvXdOthzkQgGdfALabQxc5b3rob8JF7LLTwO2AgamC09k 7jXnQgNLtNp/Lxi4RP/C+ngbLlTze/ibgyEDF3SI6Z5w5EJSPF9jhjYycI5b /VU2Zy50pebCjTd/6Tgl4UCN4x0uJOvX5l4YTsdJe5cWNvhyIcma9h1ytnSc 0JQtX+vPhfweB99u0aDj16xbH2lEcqGP/O+zJKtpOOASB1rK4kJU5ajzyV2V 2H8ZO6UWciGHjgNs5e8q8eOw2zHny7nQYr70FnSpEt+lDy3SvnEhllqJrsg/ FdhJ9mvu80EuNCP/48jBz+XYpDdYSVKSGx29IPi7710J/qrU22Qpy41cm8J8 fNlL8JEbWnejFbmR/b/XegL2xfgQc2edmBY3qtIckZWTKcIHpJVuCZlyIyv5 X4Jh9/PxTktGOecDbjQz/ET22mQm3tj0z3y6jxsd37KmU54RgaM2HF1TH+VG pgyWiX0RYVj8YlyS8xQ3isyoFdbyDsGiU4ZLY6vc6Kzv4UDeR48xhRIWN0jl QXGeLMOfg04Ai7HKyC8jHtRgzjo+vzEKhmk2PlWpPMiCU81jk08WSIW0XA7M 4UFHuZgZBQbZcNLKxPxkMQ96fqHtyAeuHChb0Fb8U8WDtCKdovc8z4XQ7QJN 8z08yNjr/F9XzwL4vPi4rHSYB/ER+b9b1Aph+fNy0sO/PMhAP+g2f18h2NkM 3lm/xoMSp5IgxbAY9kRgeXkJXtQrXSXCO1YKzpd2Co5J86JJ1QBpo+AyeK+e vJwlz4vu0fIedaphoHx9Wa+7kxftAibf8R3l0Mvk5HXKlBeFBHh8a7WsAPHa HtuNp3mR8YZRfal3FWASfda0+xx5/tzrDx0DFVCw02Cr0xVetFCe/STpaiU8 v7zx+6PHvKhUREKj34YGFVqhhUcCeBGNO2DG+DUN5lg5EwTCeJH+U57utUYa XHgzfTsmnhd58k9QduvSIfyq48WLSbxIgCdvT44zHWq0fx/dls6L+ryNL12O p8OOphqZ3BJetM22INR1hQ6O8YjPi8aLNvweOVuiwIBYp7x5VMOLtG7Wraia MYCT6+3Xrz95kROt1NfvDQP2NVPzQzt5kVG3ScklGgNc3wXEn+njRfXD8R5W fQz4tc/jVu8ULxLazqYbtYUAQZ6JC5/+8SILxutPzUDAoZZLR5yZ+ND+TdtL ZC0IuJPYtnMXBx86bSP/4IErAVmuptLLfHxoZ+Uyz/gTAgaA4K4U5kPXL0s6 2sYQsJFv76zfBj70+slKUn86AcfbMn8fleFDxw/ztF////fdD/I1Qtv4kMyv Av61WgKK3WJyWlX5UMmVHN/QdgIm9wu9ebOLD+kfbPfd1k/A1vVPn9ru40MD dN802jgBFh2rN5T0+dCbBNH4C7MEBH10s/p7mA/Zv59bWvtHAP3W8KH843xI 29/fKp706z+9C5p3zvAhAcpuB33SryoCzZv0zvOhwflLBYOkX/sD+h+E2/Kh r8DC+3OBgBju+YGBK3zohM5MF8cMASf9OI7quPIh2/98CK8xAnhZxbKe3+ZD NcGumZp95Hw+CtTfd/mQZUVStBq5fq+V3d7qj/jQXCPT3RvfCdDwNOp6+IwP OaefOb5SQfp+7qxhcwgfitMJ5P+eRcDbG5eTFSL5kI3lvbQh0v9nJz0pXrF8 KGSJS9EkiADKtWc3vyXwIfY1Hs8VTwKqhqLbpJL50O+eS18WLhFwzy4FXDP5 UEJjmfQB0rO7ekoS6Pl8yO6lY3a7JgGJHb+cHOl8yODE+E3OZQZYnh1vLK7h Qy9T7MTifjFAuHl1N389me+Iq7+CSxnw4LsUS/YvPqT2+1zO49sM0DFWc2Dr 5UPMmanawScY8LcKfTs9zIfkpVS2LSuTPq60jlie40Oz2+LTOdvpIAauyyYr fMjYarNERjodvhc/sI5n4UeiVNX7nx/QQTf3nZIhhR/pGvCPnpAl+7mkPhy0 jR/1cI856pnToEl2TrZblR/lLvmEfN1Eg2fx7P47dvEj1JzJ6OmthMUo+ZOt B/jR1q+tFrVOldAS4DgoY8mPvph/dxB0rYAXN8YoeYH8KF7fKlX+Zhkcnly5 yRnOjz4WGTLcO0qB+Rp/u0U0P9rG3aX6aD/5+2Gnmrj2gR8ZiWUqsbOVgMlZ F22jCn7EZxWyZ821ELhh1rpjmh89MWEp6p7Nhtv7FTjzFvnRRupU1VPVbOjX +y8taN16dGLizDdv+yyoPFSxeGD9elTh6lMZ0JABnmYBLz4qrkfbeHtjk1WS YcR2K+OW9XpUN/1faE1aNHx9bq4g8H09+nrO/ZnfcBTWCXpSO/xjPXpSdU0s 2TgWJ4UUu9E71qNqNzm+9c1x2Pfl5gr34fXIOox4/VstAUvWzSlPMFPQs9zD AnXfP+Hm1kqGuSQF+X4wMpCtzsZ8/3VEVm6moFV3R6p0YA7W75i9orqVguZ6 +LMOHc/FWZ0KglzKFJRncpmjrT4PB/YEWpVoU5DSzfA6haJCfHDMYl7GnIKs eeXu7hfHOFb4YeO9MxQUo1J47noexjN7ktM7/qMg/UdZ/91QKMdx/kv2L20o 6EDezTtlZeV4Uf51C5czBVUxH3sw2VqBTY/Rc+xuUJBHOTJf3FiJ398aDabd oiC7eUNwt6rEJxh7je7coSD/krGq7I5KnGLzq3DSn4KCW/QOvGfQMLM/28uj gRR0OO82kb1Ew2cyt7t+CqEg3gTsz6NGx2xMdxUvRZLxWMQvPnlBx5by79kr oimoQXKuLKGSjrNMars3vaEgSu4v5sUJOraKkYz+mUhB74Sz45AB6Qe6ofuO jxS0MJY5p3iNgblHnU6EpFDQZpd7/4D0R74O5jmSTUEH+auNO1oZmN9mYOBD HgWNT0DxuUUGvvR0PZ21iILy01ebVsQITGk5711WTkHpHU3BQaSH7Nb8zmyg UxB7VsGCF+mlErmMHbc/U9CDt2Wid0hPCZq0UH7UUFD451mjENJbjjeZxtRr KUjZWWA2j/RY+WuF6sB6ClIcoXuOkl4TpZsmjjRR0A0/2j61agJfHbl9/1AL BfUklsf5kN6rFIw/l9hOQfJDK7s7SA+K6VRrM/+moPrSZ2cPjBDYyfqvyPlu CgpRWLufRXqS/kR8qriPgoRVxtSVFwi8IWN/rdgQBXE2Dg+mkR51/en46eYo BW3cGCCnQ3q1ajXkccMEBcUt1Fz9RnpWUq7IRnWaHB9zS3Mgvet2tFv3+RwF /eZru8NLerjGjXvD0D8K2tl1zqNwgsDSrzXmDVYoyNvdGpwHCHyLZtH4lkkA Bd01dFL/ReBvww/S11gEkF6CU8JKHYFlBZOfWXIIoJj2pyE/Kgnsqd1oX8gt gO5uEwoqyiJw3YUlPVF+AfSrlH4qLY70+5Mt0jcEBFDTksu7rOcE9k4/svxd WAD5GI6rVt8icEPzjRZlMQG0zMSXP21FYIXV6JynGwQQdeXdtKYBge9tpQf3 S5Lzbx38+WwbgZuNR6/qyQiggp5T/Ks8BFZ2EzaK2yqAPH98sA8YJfufykvr LJQFUAZRy+BPYuDJ/W0Sd1QFkFWS5bGQRwzMUXFsR5yGAMqWEwUPawbehXXs +3cLoI2K67f6CjOwiW6GD9deAfRgps8sdYSObUu3RimDAHKuvfnjYAUdhxVT vrkakOcf1bL+ZU/6Vudxf/ghAeTh/Dmtczcd0wqX1gqOCKCJj5LrrTjpeCq/ X2PtuAByYb/4tP8tDR/LKYl8ZiWAQvreBzwnKrGdpkZWmrUAOpTlIzT6jPRr 1ocv9ZcE0PWIyKShY+TzlxG6Sr1CXq8PSDc0VmDuVIdLCe4CiO1H1JbOL+WY SBRWKw0WQC1KP7Z6M5fiTll/oz8vyPG65d+JtiV49t2aDUsEmW/FLWOZRDGW fTscbhQjgK5F7B2LfVCEH8SWL/34KIBqiluWt/XkY92Iq5/HKwWQxZz3AXmz LJz7hG4lPSuA1luPx0RJvMJJh7+I+S0IoDEn//v/isJxFG9Dw9iSADpyuTPY 5Wwo9gn+bVjMLIgCNV8lFW7xw8aRiyqnKIJI4es55pDdF6D7g9raMyVBtPBL 5rLDphj44ahVOKUiiIJNG5uG9sRBlZLujbMagsjqYJVt9kA8pKYfGZDTFkRm Jt1r13QS4Xa+3fcKQ0H0p2guzLUqGfg/v34zby2I3L/t5bLVzIF1T9+dtbIV RP/p0hd55nJg5vAnIYaDIMozMDjXkZcLrbX5fqHXBZHNQ53lfI18SGhuuL79 jiByEvNfDBUogojI1m1hPoLowq2VoRJaEfhb/OlZfCiI7GbW8wbeKIbrnWOn q/wF0TPKwrehLyWg08+JLkYKIsk/v/9MnsOwPWn9YnW0ILIvOLO3cAmD9GXR HLU3gijpkunq2SPlwDa+RWE1URCFalbYsXaXQ92sLuVVtiA6/JegXVmpAFq+ Qc1aniDambCNyQ5VQp6Hsa9dkSAq7eS8/vl+JUSvnF3QrBBEvTMDIR/WKsGO 7eaf2lpBdDmn9tn+ARpISFX/XKoXRCLrQxzPitOhdvem7wo/BNFqqIDskBEd dl1llD5oF0SVfxJ3W7+nw/Aj8dz0TkGUv96OeqCBDrFvrqV0dAkiGY19Hc+W 6cDeKBK9a1AQSdm0RR8xZkDRqGPoxRFBFLN64kexCwOc2MueBo8Logm1GsrT cAY0a9vdHp4RRAfeGs6otTDA/0TRdeqCIOpgj/rOPs8A3Wv89vpLgsjb2FdI TZj0UVyeeew6IbTAyN9zw4iAM0XcR7+wCqHrUiYnnliT3muy0l/gEEIh4Sf2 DbgTUD6WtWcrjxAqF+XaFvicADcODk0zfiFkJcjg935DgMLm/xTvCQihvX9P z6ZnENChk745RVgIKW4M7VEg/Rt8kkW8lSqEFpf0/vR9I0Df6TSFfYMQ8vy3 b6qvlYAFv2QOTUkh5H3HVFqhl4CU+LXV85uFUN3kEZfkUQIuFJ+Yey4rhAxK mEadpgkQ/vFhrFBeCKUegggX0q9V40u9/YpCiI8u6pNF+tab07RDSEUIqZfY WamT/lWTSWhE6kKIdf5W4jjp4949CzXXdgihB/TNDcOLBESaG1dGaQmhBLf9 1nLzBBhfjyv8rCOEbE9nfI//SwDT05mMmX1CCJccijo3TEDO20NJm/cLobSZ 3n0WXQQ4lLx+Y6IvhJSOndeKbCb7gebJl14Hyfk3hrKI1RBQN6EfmHRYCBUl n5ZqKybAl+vVox9HyfnTCwR+JxOwe8uYN/NxIdTVuEFSIYqA0b373VRPCqGV HZbb8x8TEHcq/IrlaSHEHzG8PdCF9LnzkM1TCyF0vEyLP53sVzj991nknSOP d8op2XCAgJJ3Icd7Lgghk2v18s3yBMj+1Eb77IUQ42L62J5xBrRMBmhdviyE LvQe3zpSy4Dn3N0qEdeE0BPa6caJVAbM7PPf9PeGEEofzzNmtmdA0ulOYUl3 IaR6S0pOdD/paRcN3iOeZH14FX33F2cAPaFtMcGHvL55s2/vGHS4XaYyVf9Q CJ0f3llm8ooOyi0PhlYfC6G3ZqKF9lfoEMaj1HImQAhVeEWx/+Wmw0VXr1ze KCFkrJHRUKFFg10anbnbYoTQXHf4wHkmGnBPoTzDOCG0/6LfvVefKyHDhT3f 570QapPrvjJ5vBKWnUMKZrKE0DQLIybxVAW8vP6huOMLuR6nht9eh8rAUZW7 5F+tEOo3C9O7mVkKeyeulog2CKFbPsoK+8VKocdJo9S0RQjRdLi2ev0uBjWn 0jJ6rxDazpdTWmJeCNVXGytSVsj8fUGBuqPZ8Fp5V2U1kzBilHkRf7WywXk0 srKfRRhttk3m3/sgC0SvWtGkuYXRjhWb7V8FM8HmyhA9TFQY/TwhciPtcAos O6599lYVRqdaDrqh3XGgaq9Ua2wtjK6t3mW32x6COx2lrqdeEkY+XsmmN5+G 4edXhSj8DsLII/n0TFlPBB5yWTr+3UkYLZke2dMSEovfeX/5cdxbGHU6md/i 6k/E1NArv05FCKPIszQrY6tMTISdv5sfJYxeSkgrp23Nwm4RJ6TEYoVRja5U 5N2RLFz/eo91a4Iwmpjcc1PeNQc/+8DT91+WMHp/JWqoyjEfr5Ukj174JoyG BmtiZGZKcBp+E1BRJ4xsV54fr4kqxZaVL1RkmoSRneyP3z26Zbjws5dzTxs5 3pD1a8c9jG80HJmxHRRGellmprYT5VjmB4QTI8KIJXBsV7lWBa77qblLfkIY NRnuqY+9W4G3/9pwe3BWGLGHF8bXclTigYGRpcssImgkK6TmOAcNvxz+/foL uwgSNA/vlNWjYf2xxn3K3CLIROCzu8kdGo6fKr43RhFB2b2LN4NHadh0Nl3a RFgEvZaaro7dTMer8+8q0qgiiPdyuvTkSTr+b+UZi7OkCHKyZtp8JI+OuZl8 Euo2iyBNhfbrxr10XMDsZqC+VQQpabDz+lAYWITT0m9KSQRJHH02de0iA9O5 TRVOqIqgHh7mC5v9GdiVT786W0MEBZx/vLiQxsDfBZV5bmqLIOcv3Sc4pxlY 99q1oei9IujrCM8rTQqB0z6nkVUtguaj/PpzlUhPykwmDh0QQVKs+jIBpMcC vdV9KYYiaO4GW0r+OQKvNrvaaBmJIDWvl8OabgS+pp6DrIxFkNenCn2mpwTu eDYr+eiYCHoRenzzhtcENu7ftZJsJoI06JSBB6mkv9Ht9gZzEXT7bMPyzlLS c9GFhf/OiKDBA1KrGl8I/Hp2MULakoy/2Wmrx08C85juvXXwvAi6UM/6haOb 9OenOyedbERQiNq2g////jrMijXCbUVQ64bNU0t/CWxxnkmgxEEEGTlryF6Y J/1buH+i+wq5fu53O7lJT+sIP/zGdV0EydA1g/+Rfv7kRE9WcxVBmZU+miqk ryWq2fxP3xRBeOvZK0nk8U+3HHS4e1sE9XHK+TqQPl+488Qw0UsEFfiZ1pDv A+zQUi379S6Zz9L9/sWjBG7R4GGZvi+CiggbyrFeAh8KMO4SfySCrj5cSt7W RuCCgQCMnoigxvAjQsa1BJY/8D3G/pkIerPT905+OYFfvqZ4BwaKoKUty9uu ZRKYff64RW6ICKLIcJ9xIn196/iL3R1h5Pgv68GSAAL3JzeJskSS9WGmt+uM B4EZF043msaKoLCowk33jhB4R3Fkpnu8CCpHopf4NAicINIWFJsggjpf5d2f FCWwb42l8egnEQQPjjuWtTPwjGysolCaCNoU94JILWbgi/d+c+pkiqCdgUmb l14x8IEdNgy/fDJ/C63zBccZOCvw3bu0IhG0qvRKRUWJgWWGeu//KBVB/537 E87DwsDrYu11t9DJ+k6KfMCbRsflHNfyy+pE0ImTrimP/tKwmk1aeF+jCLrx 1xCiy2g4rmTiBu9PERTtVau5w5+G77m4qln8EkHp5lnr122iYd1294+zQyKo 1v1h1331Spy2s9Bv4xiZLyWWUaXpCrwpeNFWb5LM/yslE+/sCrysf0cmZE4E rdulcVNGrQIXpz2IVmYRRWXOCd6iEuWY3dhcIoJdFCXMbnctfInx8SH5V+u4 RdGfabzsNVeGB7Z8e9lMEUV3ryWGtaaWYqFX1FAfSVFk5AVt4StF+MrDlCdN 2qLoW0y2Y4FKLt5wpvmmt7Mo4uR4yyiNjsN2s0kz/TdEEb/OhP50awzODPW6 cdxdFLF4nKyq8ojCB79Ju8jdFUWXLrPGlGa9wDcOXLla90wU/VeoF51y6Db+ osx0UfaDKGK3ueJpvzMcvNYpmn79JYpGL/h9DXPJgn59nha5LlFUG91je2ln Npg+GT1/v1cUPTzfdSZkPhtk16df3zUiiqzdNXdW3sqFrxt3BMUtiCI60+bg AqsC2HVBhLq0JIp2K43opAoVQty7uVjzNVHUIFyTe48ohJuKhWnc7FQ0dGTz u/tbi0Fyt26tmxAVtfFuiTH/XApPvKROfRelokTO6eIIxzKYKmPq3CZBRfSY 78F6XBg+G9DGOqWpSCrhRYGpdDk4nzjEZ6RCRc1XxiWYD1ZA28tt4e/UqWgu 8mwmJaAC9Nu4N63uoCJeJ/2cuPoKELf+ppy9h4qOcViYqZyqhEonM+NNRlTU zdyqd8mYBspZmk3uxlR06Nz7oz2PaPByVtiy4RgVnXVPnCwopcEV759X/E5R UZNBbdVJBTo044LprrNUtPzw8HbB/+iAWKK89p6joptS6RLCz+kg7G/57O9F KqLUn/JoGqTD3W/7hIztqShTvU7mmTADBilS0e8vU9HDpK8vbukyoDSi69N/ LlT0PebLgV/PGaDQXqmR50ZFXobHco9nMiBUMqGIcpuKPKqCg8caGWCXaFfD uEtF++LMvwQJkT4bPGgm/YCKGnW7bwWrEaCjvK3N8xEVbcqYfpN6hICE69w2 P55Q0ePedyJ9lwhYnz0ypPqciu595f2ww5sAz7mvLv5BVBRC95GKCiF9qZ32 rzeUiqrWr/oJJRJgcifoPrykotY/Nx+/ySOgoNyZK+oVFTF17azbSxAgw2oW MvOaitwLn0kMNxLw/KCm+LE4cizEkHj/m4A5f+H4j+/IceiOx9eHCLCunVVg /UBFrnL2hw1In34V+Jlh9YmKtimf4pQn/brLvGB3YSoViT9J9xUmPRwX+apc KJOKyiU3+/KRHubu8DzklENFr5vOfBEgx7vcP/IF5VNRWZnpATPyeGvBlob0 IiqKX9df3knGe57KHllXSkWbRzjC86fI9R/aee5vORX1ha44/Bohr7fnoowg nYqes9wfMu0h83MvdEDjM3m/DhrTBEnf60hUpJyooaIJR/F3W0j/2+VOuLh9 o6J2t7c7fTEBoaaSWuF1VBTU3rprJ9k/lI4YL+c2ksdb6Qxqkf3F4GOviuZm sv7NrtaRDTwIy3x6PN9KRVgv9dbu2wRAacsRsV9kvZfq2GjbEHD5DIeA9h8q 2nPUTCL0MAEVgZeiPfupSInKJ////7ONbntxIXqIigp+Gx0u/scAMUbF1pJR KhrlNRv1bSf7qyXJjJUpKnLQCZREUQyIenn0puQcFQnzfbDf5c4Ahrq3Dvwj 6+GHeXy4GQM2OrTSfdbI+x90w+cVKwMOsXD6xzOLoeXcmf/02+lwI3bXsUo2 MfShnY33UgYdappetLLwiqEDQe+C+E+RXt5vMv5YTAwpBoa0Xg2iQUKHd/aH DWLIsSRCeqMFDb67J9+ukhRDHkNWBZZbaCCXxsnCvVUMzVw/9Sg+sxIaJWjU AHUxlNnx7Wt6aQWozGjtf3FYDDUpUa2Z1TBYBNmx5xwVQ26O6l8qo8vgkWL4 lyZTMbSTL+YRsJVBx4Upc9HT5HrLjwVE1ZeA/7eUy68uiiG51etNlONF0Pd+ c9gbbzFkuf1G/MvZHBj17frH4iOGTG8nirqR/f+UTfx5h4diqCxwkDPoejYw SW1WUvcXQ0rPZ6cruzNBIkK6sjJCDFFSp2OFnFLB1E9qsi9LDFlt6gzZdzQO Suw3GSsPiaECx7P+626EY5rBr8zgUTHkPbeica8uEtdsiaHOToihRtU9pxqV XuOfvzf2lM6R+RFYYXW8Fo+nTm/0PMYqjrIvmzDzciVhhUMbklylxNHttSC+ 645ZWFWune+njDj6nKt2IVA1G+9ijb6xR04cTewL5mKeycZ65RLAul0cPX9x 2y/OPRdb7ZZoDtcRR5c6iz4M2hfgMAVx1kJzccRdbtj5qpP0rpXch54z4shy aovhE/cyLBumeZjfUhz5Phg7JM+Pcc7a0eCLNuJI0WVEVpZ8vzU1P9jIf10c nUlWKLmiXoFf8wbj3a7iaNhKLoHDrQJfOhBjc/GmOOqa+DRpmluBZ1Lzkwq8 xFGrqtCGFs1KLPRodMfFJ+JI7Pv6G6rSNNxW9O9nwDNx9N2j53PqaRp+O8nu VRAoju5fGV3NDqBhDcvNFXzh4siwzsjIaJaGF0NULu2OFEfJ4m7zdXJ0XPl5 D8fFaHH05tS90vpTdGymeepoQbw4+nm6l1DNomMJx4uT3QniyGlKKPHRLzru jnV+wZckjnZvr6sz4CB9y/2s1SZNHJ2rMRmeM2dgHRTpHZApjqL5zp/q9mRg 5luJUgU54sj+UOpD5VgGDu3CtnzF4ojLvyCz8TcDW1C/ce4uE0dBLKaLSquk V462JdtUiCNWi7YXrRKkJx8MmATQxVEZoS/TtpPAWQUzf/M/iyORh95GSsdI f46vC++uEUc2VU6pNXYEPiC7fjdfLRm/3Gcu15vA3BYb27XqyXxomDmOBBO4 IWjbXZsmcdTTd4H78jsCRzF2bQ74KY62bm4cUsshsM2SHj2/TRztVfpOBRqB FdWP23f/EkeSR7wSXtQReMrOipuvSxxVfF55s72DwEWvr6Rq9YojiUFvCd5+ Aj9ouG1qMyCOpKYlZVXGCXyY8/H082FxRKhyfwudIbCA7ouX+WPiiKXv0lbt f6RPb8Rpd0+Ko5Hklv3SpH/jPqZ28M6Io1SlgR8HSf86/C66pzUvjpgVDS0y yP1qIlUyNoviaJ3L/AmLRdK/h38wnq+Q9VyzfNBwjsDlPt0O+UwS6Oq6M8Vu kwR+kjfB080igXh+c2v2DxLYdHQ5jZdDApVtp+6I/k1gMRluMy1uCRSbf1cv rInAf05TZ635JNBnQ73++s8ETgqQjXxOkUAnEu3iTxYS2JmmvidfSAINXFRb 3fiRwLv/6XZ2iUqgTZ/ebFaOIDCTqvF9XgkJ9M7fYebhQwIHR9l9tpaWQK1n j3uLnCaw+60HN7y3SKBTSRYbmnQJbGUWKxUhJ4Hm5Hw4Z2TJ/oO72f2rsgR6 aWy6/fwoAwv1/90yoCqBQkFIJO0bAy9W8NWt05RAHxdlkm1TGbjaw0BBS1sC hb3+L0fUgYEzzK2bju+VQCOKDV4iegwcqX7H5ypIIMmiRuS3kYHthnJa4g0k kF941eG6GjpmPiv7lNdMAgWcThMwFaHjoR1op7y5BIphzbqt20vDdRTLrv1n JBCzfPdIQSYNv6l6oe1uJYFyfzCrXzhEw3t3swx3XZZAaKjo+cSlSrxFWOrl 8jUJZGmRY5GuUIm5J3UOUF0kkPKyfdDGkQrc8sE1ythdAoV8ZHagXK3AN6nd h/MfkvNzOlq0WZVjy+mVufrHZLwN9cUPxcqx/nfxd6NPJRD3jEvturcYC/od X9ocLIEOlF5sod4pw2lz/6vQzMOp+ro4rjQaon5K3Os6916JFJESDXspU4U0 KIQiRZLKVBkaZMhQKJmjhGSeMrO5w1GJIkOFBjIkKUJEvOf9cz/77HXWXuu7 1vns8+yazNAEaTBQeI9/r67EA61JIrbPpGHnCtdEzZFibBFp1SjSLw07VKaE xSfSML1QiHZ2kIpfvPSZuEOp+FNTif2LH5R/teu79+c+xnZiK+YFjFH2NxX3 NNg8xM7B5Ka5eTQ4IsoPlnO+h32vq8SO0Glw4fUj/9xvPkgnqbN3P0GDj/l1 b/Vy/dHi6iC1HDYNLIVeN72zD0Wh0z31jutoYN100iJ0IBJFecTM9mjQIF31 adI0/RF66jTPru0gDRqyerw/MXKQU0hOnvoRGlw29Oz7XpSLlDOO/btrTgOf A6JfZFPyUEH/s6j9J2iAiYbzUpsKUKWt44vn52hQPp4ewt3xDL0xe6tccYsG z3ev2RXxpxzdvXTdSyqUBrQfmw3mpVYg06gNzy+F0aBnGxxbblKJPrwNtFGP osEug0vpbYlV6Kvx9sjsxzRQTItoKllWg9LOffss/IQGbg/n6Soeq0FnQqM2 OGbQ4HqtRL9aWg0afvGLlM+nwaKgabEJjVo0qZM6lVRNA0/za4zwPRzkXZF0 k1dLgz8rH39s8ucgAbU40W88GmSZ9u7Mr+GgxbJhTLV66nmJn5YaalwUfD8o 80gjDeJzVexaHbhomYjfZq8mGkju+fF77gEXrZq6vIfXToMqi2OG3wV5KO68 69uBDzTYt491KkWdh2T6zlmJfqSB+U7twg8neUjure3FI19pMDNjZZZfxUOb sg1jB37R4JrrkmuZ1nxUzNZni47RYENg9NCoLx9pxWlnq/6hgVrYrabEVD7a Fbil1vMfDYpYynul+viI/LdxX5IAHZZbG83rESTRHjelVq4gHVKncoIWEyQy sSG+iQjRQbxnfr7ZIRK1tEu7qorSQXo3sfmGI4nMjFf+MxWnw9Mwm6qZayTq 5IkFev5Hh0MKm5pe3CPR8W1Cy5NW0cEkd9FkH8XL3fkL4rlSdPhMGpUdpHj5 tMKc3ACdDnFtZQXCfBINJk7liBB0ENwj9EO8mUTOK8e2qrLpEFm0JsKmi0Sj IcMcU3k6DGuP1c30kch9/jdDT0U65EpZl38ZJtHk5Z62xPV06J6YcRcbJ5H3 z64TXBU61KivjvSfIpHA6XeD/Wp0yIxZLa0zQyK/zmY3kS10KHdzE91H8fKS Qw2zGzWp99OSXeOo+ZAXdbdMt9MhoUvyoNr/7xMDZ4UnosbLDHNWTFB8W1yZ kLiLDqsEnt3e9otEqzaUyHN16eDz6eV01gCJ4h7n5/Ub0GH0wvJge4r3GdJZ WiKGdNg51Gjk1EKiR+FpvI376XDNqs2mso5EcosfGZsepEPjm7+fzcpIlO4T /+6KKR3QQbG+XU9JtH7svm2iGR1GfvSFeEWTKM8xfIhzjA4CeYd/CPqRSP1L sEe/NR2O+axf0+VMopKj/gIittT6EmPfJWYUrzdeC954ig5dO/9bcguRqFrH U8LUgQ751c8/W60hEal6XiHRmQ7EAW31lUN8tDf9TAHnIh14pY8Ep1/xUQPD bnu/Gx0wZ8NrlMVHLcLmJhu96LBZsUXk5yk+6unddZkTSIfOB4pfNpI8tCup MXldCB0kvmv3RkXx0EMzi4a7d+hAey6honyKh6zrL7JO3qf8uS3SIPCPiz7k PXwl+JgOhRIx/5VJcpGm4/o/Z9PooP7z/RXFDxwUwy5ltjylQ8aFAWI0joOO RL32SMmjw4xanf4jSQ5q9poldKvpEFgYv5Y+W4NUNwfvy66lg+Wiu3a/CmtQ +PBKj5V8Oti7MBWMHGqQsc2G+t56Sj/n6iNdYzF6qWfpHvCeDoPZHVv0hKoQ Z3n5i7oxOlh3DrMt3UsQs153TGWSDrM6chFvSovRdb8mRsw0HeTqo1fp/X2G dv4ZcHWYLwMSRZ+3eVwqQuWdkoyl4jLw7wmMN1jmo4In7i57lWTANcY14AE/ FSXvUKU12MjAZ72V3zas8sccY6Gb03YyYDgb9NjpfAjuPt4zqOggA2G7L6Yb 9IRjtu/98gBnGRj2eHTaaEs0TiGnzMFLBpTHffyDux/h1P2cmMJIGfjw5/Au AYUcTJ6IF+iOlgHZrtY+3ye5uO+im4N4vAw8zfkQZng3D8tHym8990gGMovm fP2FC3Dau+B2+RwZeF8ZqfNzqAin2xxaFVcnA7f6pMDteDl+7rL+6vOXMnCq LqJ1y8IKPHBzYd9EgwwIrz1/rz+9AiuklTw71CID8FpHs/tbJX46SDMV/SID jspvpXpNMH45PVa57asM5LZHlXO/Yjwo0ijn2C8D287WhK7eVoPXqVwfI3/I AF+3wZ3/vAZnuH69d/2vDFzPc8271VKLX/pVTef8k4FelfZvNAkOHrwfdbJL gAHyXuaFhgc5WKnUYJPWYgYsal4t4/aSgw1fMOMdhBjwaOjDYZsFXOz04e/8 aFEGzHptjHy/nYuzZrKaf//HAM7NJFeLp1z8SjRAiyXJAFlJ+wqLLi4eYhxP NpGm7L3MPtEqxsPrtZe7ZBMMWPE4Dq+7wMPZ/u7L7TcwQOGU980RGT4e2m7l 67+RAXLey5USdfh4/ZjO78ebGHD4aPuq8jN8nGEr0fpZkwGmguc81HP5eFBq RnduO/X+E33c26/5WLGpp1gGGFBZ2L/acJiP01FhjIUeA2qtPdqG5Uk8MBG3 9MoeBriVzS9uBBKvzfH1jDZkwF3eqlkhcxKfPuX4/dl+BhxKkVBKPk/iNPpB y5aDDLhicK/srh+J+95qNoyaMqD8oaJ8B8V3a0KYO5ebM6A+wfnHFYr/7HYt zVWxZMCF9VMh5yg+TJn6JWt8nAGCIgsDiyh+/Jr3LtzJlgEdycJfjCi+ZDvU zAs5xYD0DW//bqX401Y23eWpAwMuep3XcKf4NLktrKfuLAN2HBubmkfx65fb lw73OTNAKME99eM4iQnd4/wFLgz4KLL4gRDFvydm9Law3RlwNvGdjj/Fx0mF yk+0LzNAK2fVIWOKnz86rlp9wosBm0uqF53+//0M1uytq1cZUHz9ZeYrir+t 3vdOJdxggGTzpju+lP2E8AbHCj8G5LmMTQX+JHGn/rOO94EMeK+4aFtXP4lp cwmGk8EM+FVt+8D3I4ktiv2qVt2h7MnPi7z8ljpPnHNS3hzBgKCfputrSBJ/ kDucdCiSAe9EV8ZZlJJYqnObuEs0A166j4rvSSex2T32jfA4BvjQknmhUSSO 2Ss8mvOAAaK/2wfkKX5un/fbtuEhFa9f+vmrnUm8quzD2++PGdC2I936JMXT 99dmPFPIYECMzYFmoTUkbvkYIa+fzYCm4wv4Z5eSWCLqSvSpPAY0XL6XtoHi 6bsL9lxJLmbAPFeZiM4sPm6u2DhYU8YAF6PXLxqC+Xi56+pjnyoZsG3yeKaC PR+Hf+nfTudS+ki+KrmWxsdvYl5na5EMsBBa7v9mlIfFTEoY5i8YcP98uvnP 5zx8pzpAIOo1A47vHP8XQ+k9NH4NT6yTAVWdFr1/sql6OSi6WfkTA5ZuOhD6 5AoXCwuNpxp2M2Dke6PewG4uDr7MCwwaYEC+puOEUgsHB5qe3Cc4zgDijfF7 1a+1OHl/p+WpSQZo3t+/5WJSLa7cY+pcN82AZkcea515LR7doR8RMl8Wzoo/ VyGofmApr9T+n7gssAPVP0YpYqz2Z9RWTkkWNF57zR39WIaNRs66BSjLwuEF Qtnb1pVhh+9f/QdUZaHwkEfviGspfvCpLT1rqyxc+TM5JzGvBC95Xj6sricL wX2tHqOCRfhjjK+nro0sMPkZuffcM/HU3emQJ3ayoHV9WpvZ/hRL3HZ7sNRB FkLv76S7bEnHe26crmlwloVPxU6fh4dTcNGZvYuOeMvC/etT43FRCThYa8Xd 09GyYHL+vnfcDgu8ufPR08AGWdi6eWq6rucpEld2mMx9IwvnRG8MRZ/OREPX lPXfvZWFNz7OXab9WSiFXfFV4YMs2DnESSt05yKJsy2yL/tkYUv9XdElXQXo r7fgvkUCBIj+DdTQPFeKBlJPu8TNI+BF2Qaja5JlqK3xRayyIAFr5jcu/YLL UAERPnBkEQFPbdZ7cYUqkCOPHvBEhABvk/M1qYFV6L3wlloDKQKSDjn9fbe0 FpHqsQOd0gS4qI3dXWxUi4qsZsQu0gno+pliMnCnFoXncqxjZan1ipcGspZx kMGh/TPf1hBwMTxWp+IfB23xLmBfXUvAG+m9L35v5iK51JX7VigS4D7K8Sp1 4iKBPx2xWusJWGIwv7G9lYtK4xw0QtQI4C7atGkJxQtp3HprWXUChIuWSG7n 8FDkkHJA4WYCjkaECX4a4qELO8dbOrYSIJJ61OXkDj6ytjebOa9F7Xdjn/fO k3xkGF7BXrCdgMHvCQzvQD5S6L7hsh4RkOfp07Wyno9WCffG1gABRuEppucG +WiBukHt4V0ENB4blmYsoXjTMnNgYDcBN66+/7BGjkSf/ZeJ++gSUBT7dZfv ThI15lzUWK5PwDPjOwKqR0lU2d5inWpAwNudprUqFH9lCGwN0NxLQIQHbbf3 TRLFKMZnN+wjwP/dArGVFL+N/dZLvWlEQIauWrRdBon2V48maO4nQLH69saC Cmr9rcTInyZUfCpEcmdekmjRob2hqQcJ0H+W0rfrHYlsZSZuHjtMwLs1+zJv 9lA81//Ia/kRAgr9x99UDZFIusDIte4o5Y9RrNKv3xQve085+pgToPJHKUyK 4uE3eqm2m44RYJMm0LqV4t31yw9YfLMk4C57a7wRxcO3OmYOJFkTMPN5/LLZ /+9XpKbvMT1BQJuexUoLaj1cOKwtbEvlo8pf8tAYieK1BDRrTxJQkRUjr/OD RBMLsjZeOkXAVp/Cbxu+kujg66MKG+wpe1ETi5e/J1FOrCDR40CArq2vwnA9 iZba5UrGOhJwSP/SKL+SRHbKx8T2OxGwMPnHsthMEtVMLlq80JmAFXG2pEMM iejcgtny8wS0W3q4aFDxvXzbeuLCRQIkRPwCFzuRSIVV3NvpRsBk8VTVMw0S BQ/ZdN31IIA+Ifk8RppEfcWirQaXCYhPTxAJnOajxH2neEVeBLQM664KK+Gj vyuXVzr6EGDs5cvLvstHpp8rC4lrBDj2PJ74cpaPRNwlHof6EvDQq0omfjUf OaCauF1+BPA0jp5RoPTJXep0d9KfgNUJ5dUd1HnNM5F7wy6IgDk3pjr/GA99 q3M5sT2cANn5W8xW+3KRzl2G2WgEAfVKW/IM9bnooeXL/en3CIi+9iOrXoiL zEaYSCKagKulkgE1oRxESjfJDD2gxiNuB+V9ahGr13tlchIBdcMGZ0021yKf XAVRs0cEvA9+i35/r0HqOtdnuCkE/JFRra8+XIOSz6l0xGcS8DXd+IzDump0 reZ2zL4yAtI2Bek/zy1Fg101kVPlBPRorvphOVWCjkz/Dn9SScDvGwvk+6AE rd9iESRYQ9XDmW5PiZfP0LtMec8Kkqr/rt/zY8kCpBaNjym1EACn1OOHfqSj vnMjDOGfBFyG3RukxRzxgRA5Wtkvyr+J1UfXeHjiyvSjkvajBBis2W26Y+Qm vtdTJcYdJ0DnW92TkcxwDObBAl4zBAyFHJDcPvcAx+mwuweXMiFraRlyE8nC C22PfIwRZsLWGc1/ZSnZ+MK1oA96okzQxg3Vl7RysX75z+ZkcSasadk0MKCc j8dUKrkWkkzIXyiXKgtF2IhmmvpSjgly4T8kA4XLccxX5Zpj8kwI83po9Da3 HH/NXtIxtJYJCz6EMOQOVmBvqBQXU2LCEb/ln5LDK3HWKbb3IVUmpDpPbnj+ uxpPKv+L+qrGhLPFOvhHAMY6k2357upMqKg+MdQlXIM7goP7ozWYEH5seeeK 2BoslDdysHMHE4wvGgf4p9TiI1fqz51DTBhKEotf+//v5a7UW7PABLMuERd3 FgdrtppVEzpM+DzyWHVePAc7/MWKp/YyYfCCWa6VFxcXcWN1JvYxIZIe0fU5 l4sFbrseDzRigkKmXvKPbi6OkV17/6kJE1zS1/be0+HhOp07AsNHmGCQv+dd 3jgPr1jmQLtmxoQx1wu5NAYfW7drbxG3YIKGBL97jOLbiTPjZ9WsmDA3KNDV e5uPd216HcC1ZsKqLt+lkxTf3plJf3T4BBOW/hFOPPeGj+XDLNs9TjLB9amT kqcIiV3MtowuPsWEk/wT5SIKJK5miovGnmYCIX6/a0qbxELfv61d58AEh3rJ E8iCxKZF3F0VZ5hw3bF2TccFEj/0eWBleJYJ64a/FdT7k3hI79LlLicq3v8K 68ViSbxV/MA9Z2cmZJY4qqdlkNjv/bqcufNMsNpunn+7nMRvkhe8CL/IhD8Z Lxfxn5OY7vSxh+nKhGGW0NTeVhI7bC6dLXBjQgnX1pDxmcSFsxFSOh5MWN// bnDHNxLP1p1Vb71E+cda4vCU4tu9Ebr7T19hgpLjusATEySOspB1/OPJBJM9 nsInKb7tZk/53fJmQuletdL///9V/tGcJHWVCTpToSZ7KL71LM4qz7jGhOZP vOj11Dx5LaB12w0qvyukD1D9Fq/Yc+LXK18qnwIX3ZvHSGy9QkvY2o8J5qUN afeHSZzR8Z/8T38mNEm7pqf0kXgi5QdcD2TCwyUpOwS6SKztXHdseRATLtg+ VnzaROK/777p8YKZYLEhZrkrl8RFu0XULoUy4d6XNa9RIYnP5SjLrLtDxUN9 1XHxRySWlzqwpCuMCX0hCvp9oST+fNP1d1gEE1qDg0q4HiSOHb7/cdc9JtjX iHzPsCaxCO9DUXoUE3yWPg9IovJLKv9LOhbDBFmtJ3b5QiS+FisbsiyOile/ 7EjrIB+POtvZuD2g6tVrer5tKh9nvQ8wXJtE6XWzmtGba3x8SuepxoeHTOAr Ki2yNuPjd1LDopBCxevu6ju9ghQP+4lPjaYyQf98v3ZfGw/v+6n2NfUJVd9h RV4S6TxczbtULpzJhIiJpNXCujyccn6efXs+EzJ6I2W7znCx9Qf2weBCJrxM nsqrU+ZiSV29HTueUfnvrFNbOMrBwdIh/z0uZYKK8azRHVcOvsCXqHHGlB6O OL/2OFmL123UyGTWUvpVvmF+n1aLe+LMo1o4TLgkPau9ubkGH7mQ6KRFMkGq +UjTCuq8u52mILWogQmBp7/+EpiswksubnN58IEJSWVh+fU3SjGnw8rKpJMJ yPNMWNXzEuyld91A8CMTZuIhOF60BA/T+IwzX6j+obSxyTLiGW4hjevVB6j+ 9LPn9EvfApxEt5V7Nc6EHCGnh4Nb07HWJiVl2z9MqLwyesgkLw237BnTmJyk 9KJOi5xek4qXXArYJzdD5Vs8pTxeJBlfaMpw8Z7Por5n0s8fR0ZjCPhds16M BQ9lhfrai46h7p9+VrcVWPC5Ld3uIsWz3ouM7dnrWPDme8TCZQ6ZaJWM5MUy JRYYZTdbRw5mob17n/r1KrPgwK2Nzv0DuaggpSFzx2ZqbAA3cE8Bumm+6u8P bRY0vdHqeH+lFDEufBL0282CjEVqkqRcGSoNSBeV1mWBHHz5W9dQhoYKtZh6 BiyQ1i6R+SBVgQ4vO26QaMyChMzN1e0xVUiO+yTK+BgLKrYLivX/V4sa10+m dFqywFisUqDXtBZdjjIodLRmgZN7r3piVC2qP/PtdYANC4KslrqrSHCQi7jS UmzPAq1/T54bzXEQ3dNL0ugMCzauvbEibQsX8Xvq13Q4smDOTlMziuLZ1SVO u/6cY8E7DuercgsXYascLxU3FizJOZvzPoKHHOpmg6rcWUCKrdgVRPHACtX9 MfsuseBK+rr9Rf08dHrBryJ7TxaINN9nXtDgI3Fn4I57sWDlbZfV05Z8VNYe 3nTTh9rP29ufx69T/JGpOpx0nQVKPon7N/L4qFjCd2aDLwusggwbHXv46MTV ZqHKmywwNPFWFp5HIqEBltRefxbciBY8LiZDosIDrmvfBbDgslypsTvFR5YV 3M2nb7HA1j5gSMuE4s01EjpjQSxQncszsrYnkcVk0Qnx2yxIbjuhVxpOogW2 C88n3mHBzhUK378nUzxXb+qzPpwFLvYbLS8Vkshsc1pIeQQLIpfOLjDnkGhe 0kSswT0WeNiOzQ9/TfHtEv30tkgWvF00kEfrINFhl+hiuygW2IVkn5mmeHG2 o583Gk3N+0ndUqZ4Ml1369vrsdQ4UMC+iOLZg7m3viyLp+KjqGETOkmi6dXv fyYkUPv9F9H0bJpEKb6Ks+sSWXDd/YD0RopnjYeuiJQlscDk2eDaaYpnJ01f Sus/YoEUW8JGkno+GUsrtiZT9q9UbPT//31hxbMaJ1Oo+Lg1ztMdJdH43Qrd kVQWLG7UQke/kyhxRvjwtScscNcePlTZTSKD05a2ok9Z8CyoLcON4vPR11kX 4jNYwLf5knP9FYkSNP9dVcyi9Bbn/uNzNYn0HhvdLslmwYswsbSoXBL9FEmM 181lwcJzFw88TqTOCx7DT9/msUDz60mHJaEk2vV5Z6lNAQs8n+SerLtEoqE9 YeTPQhZMOMhUfrEhUVThpxafZyxo/OA+aLaXRN8Cro/EllL5IOdln1xForu/ 3sytLWdBs/+v0L9TfLTdgrmsuIIFOx5+cx/v4KPwDZx1zdXU8yMeVsx4Pkrf emypbw0LdP1NwcSdj/DusX5VDgsY8lfV04z4aNhcPjWCz4Ll8YJiLZM8tPAU vqldx4J8h6nAgnoeol8wsx15Tq33kBEmE3hoX0Cw7IFXLJjnuqf7gSYP2Uaw ZwUaWaAd5CV2diHFxwmVnXmvKX9eqE5dfc1F6QXDseJvqfqSuFYUas1Fiz4d lHjzngXruKlbnztwkMzg99FrHSx43qo/e3AtB6mP+zWpdFH2y8LSjb7WopPC JXfCPrPgvWver3TzWlSjQVu6v5/qJ5ObviSq1SCv8J5/DWMscA2xl0/Qq0B3 4707fSYo/ZTe006ILkcZaSsrNkyyYJtykvbBvjL0rlL/8u1pFrRsUOTSfErR lm+Zo4bz2VDJDic6Ip6hX9pu/fVibHi0oE65+lUOOv17QdOLdWywaXiXoPTk BrLO0Gm0XM8GZf8F9VOlHuiIjV/9zw1seFh6ZKpxtx3Sey1IrlRlw7vOHNM1 NGcsnzm/wkaDDapPsgo7TMNxr61A6tRuNpSbu2+6FpOCO6UgOVSXDUZ6L565 EVQ/f3MtSVafDUgxwrE27Qnm7ZyL1d3Lhpbtzrzv2Rk4RXr2ToQJGyz/M3qW cSAP2zVPX1a0YoPiexWnjiXF2DJom0elNRv+2rhpfSotxofBy3X/CTYMqT5q VbYvwTo5f8+5n6TmX/TaeVeXYrngKdvaM2y419T+6+yRCkzX1jxx+CwbnFW8 o07/qcASk5et+p3YMNk+JGYQVYkXnJ48KnqBDQJ/Tt8Ka6jCPdp/DM092GBx 9YfpZfEa/GFyy96hS2ywVzX+OHy0Bjfneuhfu8KG8cqueKXEGsyRmdBO9WbD qNXs4255ioenxraM+LKh7u+roFIFDo7LU1f386P2K5kh0XyKg+/au6lKBrCh LdhNOfgRB/u2/lbaEcSGwozICp4EF9vmjxJBYWyQcCxaPfSNi518D83sjWBD 8ic1QoXJw+6HitpF7rGhY1T+evgRHr417n4nPIoNgq88xmMrePgu2XbmYAwb lLLD2rZ+5+H4aA1diTg2nL3iotmzmo9zNKemox+wYUHbUcE9znxcKmTRbp5E 5VN1RejMfT6u7SgvoD1ig6/7j9TMCj5+mUW705XMhh/R53MPfuLjFh/vM0kp bIgPjqENC5C4y7hLxyaNsqfM++5JkLhPdifBTmdD7Tkty4kdJJ6qnWtLy2QD 6bZEPMeFxPPvnShwyGZDpDde1htE8Zhd7e11uWywq3cuFUgi8crNrDNDeZQ/ MWrqc/kkZiy6qZNTwAaa9NqnHzkkVmjvkb1QxIbshQI6DyheVE3XmVYtZsOr vzlpmh9JrHUlte13CbU+9mR3wQCJdfYuKnhWRunxXr7IkhESG9Psb1+qYENg /PptW/+Q+OhQnYNmFRvUrE7H75om8YkqBZ3pajac7C4cl6f41/FOkGxVDRue V7Xv76X41+344N+rHEpPmpW5PhQ/+2zc1wY8Nuwz8qT9GidxwLys/PkkGyJO drdv/0ni8GaR27w6NnW+G+DaUfwb9/icQ8ALNhxJ5rQ6dJD4sVvjboN6Nlxu ShHc20jiLF0VWaEGqj7FTxssxSQuXhX+t76RDctHzcXSs0lc0/+r9fYbNoTb lGooxJH4RemB/P3NlP/6S9NC/EjcHFQQuryFDZtCWna2OJG40+I/h7etbGhY 7DsteIjKj5Lb7vvtVHzEtjvKaJD450wL4+h7Kh42FeZsKSo/SVGtHzrZwCty GZ9r42PhC3/yEj6yQVafJtJZwMcS2mah1p/ZUHHpiVdeKB+v7ZHa3d3DBhPN iuyDWny8sciTkdLLBk3Rs5EKy/hYy79j6lQ/VZ8L9tMXf+Zhw7UP8r4NUvN9 gmbDPjx8ZPJfSOYQG76s/mIwt4eHj7+wtj83zAYPVYFj6yR42OUswRgZofTW ttT/azIXe2+/MVXwmw1b5LSPXLXnYn/R7ha3cTaIxrHq9ddR58fcxyGTk1S+ Rjx2Xs/g4OTrC+zL/1L6Wz3lPG3PwZkHTu3ynqH6mf8N6Wo2BxexSJmds2zI L/TLb+yqxdW/5afm5qh8hW2v2RRVi/8HlVYdDg== "]]}, Annotation[#, "Charting`Private`Tag$6750#4"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->{{16.15306122448979, 1.5}, {1.5, 0.5000000000000284}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 10}, {-0.9999991741621531, 0.9999981450395209}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}], {159.80230278150262, -92.62500043839714}, ImageScaled[{0.5, 0.5}], {299.88441975613375, 176.4285722636136}], InsetBox[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJxFz2lI0wEYBvDZtGLOcFqmqdt/Ji7nkX4IMvJIg8yLTJcw6djUzfJKcWBq ZabpEG3V8GQMNQ0RZ8YM7FimpnktdGXRjMQ5RFPQ1tKptQryfV94ePh9e14m P+tsyg4SiRT9N/9adoO/0z+5Ioj0/wY0RFQCcTl42+ZB1W2CuAaW9VYyrAgx OD1QlLHGqANrNlOlK4w28C7tLGuZ0QNuHJFnf2MMgxWdYm2672ewMHiibilH B87Ue+qUigUwhVnC+np0BVxlO8puvGQA87Xxr8hjP8HZb0r4WawNcNdVapzj 6V+4pyBt0S+BFLLtYvlW7I8lCzBJMxPyIp8M9sgV5MWzrcBzxppz1i93giP0 V67fz94NjpmTeNHpFPBiP7/obYc12Jc25Rp20QZMCTbypg17wKeWuWtuHFvw p75kC643DdxdPnCBMKIFVqIZtdoOnJRT0E2ttwcfFnqpo3h7we/svK1FAfvA zxXFDd5kB3CBBfvM2Bc0ZTo/PFO5H6xvZUrlhY5g6SEnyx6OE1hSLxjiEQfA XOl5NXUevX6yxSRXOYN1+tC8vjIXcFOgv/M4zxXcUSqiCX3o4DJOUiTZiD4y 3dhWNs4A13o2dIxHEuCbvZW1kT3oaGdOy4g7E3wicyiRJkbLXfjuY0a0e/+j 6phEN/zPp489qUILDJYTw+yDYH7Xd0J8F51eHLcVcQ8tilN+pD5AlxtFVZJq tCLAtFkjQ5tem6da29GSSWrlwBC6vjkj9c4wujlXHRY+in7qINkYVaOnufap mg9ols4pbFaH9lPm0x/q0cdKtaaUeXQUS/Z4YRGdk0bQV1fRhcdvmZ4Y0KU2 s+9zjejazuaK9XV0U5Gl8NkGuj02JbRwC610G3QN+o1WGTxMZjP6DwbEFmI= "]]}, Annotation[#, "Charting`Private`Tag$7954#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVWnk8lN8XtpedMMLQjKkoEtKu7kmSpJQtlYQkexRtRNFiydImVLZQVCop Krm2rJHwVdn3fRtm5rX7vb+/5vN8Pu97zznPec6993k/Q7c/b3qWh4uLK4KX i+v/v8/97QW0HMJ2c+04WbI6LCW/pJ5mfIzmjBz4vb5u/xuIl0rzg2i0q+jK hY92M38e4OcF4av4aSFoxZaU3rt/krHbLh93YlUsshxOmBFszML1c06PJlal o0zm684ttUV4WXOXyuiqL8hI/TJj2Zc6nFSZ4DW8qgJxbvCsmrfuwqyYT+vb 71Ug6XhGpe2rLmxwrqq7bqYCWftUOEROdeERXsLia30lSo1P4d8f0o237Tq8 I+TuTxTJTILlWT249t08j8r4L3Tswo84ynQfDqhUN9I6XY8Malxs3x8Zxq8+ 5Kx9/bge7f4dxPX14TCui9HjXfOzHlEDPTMvNg7j1ees8lZub0Byx7kR68QI ruS9pcEl9R9KMz0RKGM7iim7mlf8Km1EUR9vGW06MY4z34U0u2k0oeLclrnL t5h4aMXQPSO7JtRaf/OBTzwTq1wy2q36qAlt33z6pUEuEyfqCid1zzShKitT Y/thJn5Qcc/xxI9mNMW/7O4Vk0l8qTuSud+6FX1K8yYGxKZwlsFE8prIViSv F57BtXYKj6cfMectakVr3n2f69edwk6ekjn5Km0obGtu7GqXKXxi4YHf5qk2 pPfQ7K1J0RROEK4KktzXgd4kuQboOrPw7l2+1jdsOpDhuO5yness3OKhtnn8 cgdSDXhURkSx8Mq6sL6fGR1os2mIRncOC9+PMT4QLNGJ+nU9/PV52ThoTY3Y UnMnGmw33LA8io2Vj/n3u7M70XYzXvW3iWxcEKxR0CLWhQ5frrim8IGN54cj vL7u6UKpXikXzH6zsU+WSYPPyy50o8/7o7o4B59Dv2NHLnQjrvDruWducDBX Mudrc1g3iqGeTTEK5+AYPmpLZUo3Kr69s3A2loPLKxyV0hu70fRoqOTnLA5W NZ9PPrujB2VL/9KI7uTggs/0EnOzHlSoaxtTPMLBVnL7e/e69aDPGxNPfiE4 OLjtvopyfA+6HM64uyBC4AEnlTdt3L1oXeVMbK8OgW9UGVdXy/ci4+GiadPd BF6pcWEsb1MvesS/rvPufgIbTuVpPj3bi4LnOvv2Hydwh0XX0VD/XgSnIhrq 7Ah8JXfZxatPelFPoxdztQuB06+bfjpW0YvalBUvK10jsF7H5UaDrl70+jof /nGTwE16z4nNc73IlNuetSmEwELLB7ZLb+hDio/yex2eENjlwfX82qg+pGGT Q5H9QGAednI7Tu9DZpcEF6c+EzjuWDnXu6I+pPnPxORJHoErqVJ7w1l9aDFy elSzjMD2Adsc/ET7kZPbNXmVnwSe7Tx123VtPzL/1+PRXUtgtZevyg5Y9aMY Sy/7zH8ELhGsGdjm1Y9u0nnZea0EtnabElQNJZ/fOhl5v5PArJqVarIv+hG1 UmmDei+B72ntNhbI60c9ws6l9wYIvPrRGXd2Qz/K1fhg8XGYwHmc4Iie0X6U 7PCnIWGMwObHM9/VCwygzPZvu0yZBB75Vl9btGoA9f3eHVo5ReBbSjPMD9sG 0DF3yF7OITD1ppJU0tEBJNyT+ElkmsDZ3Xt1olwGkLgTBDfOENjYwNkiIGgA uaotrXGcI3DPq4hLHs8GkIbt9+Bv8wT2E85+curTALLddjKjcYHA0h7/co1r yPf7cm/lLBL4be3iv539A0j/6WdJmyUCG2xaPbeeaxAJh+ocrCRx2+MDVHm5 QWR/QE59nsSXpj12CWoPIo7wgc9TJBY7+chm2mgQecs+HHtP4rTvXwL6zwyi oo0V/zaReDetPbHRbxCVr/zu50fGawzkK/rxeBC5RENLKJmPR++67uzMQRTp tmbBhsy3w+bf8sKKQdRJ0Wn9M0tgs7/BGtU9g0gHlyIRst7So9vM/y0NIt6t fGrzJD/bqvqv9soPoTITqdSXLAK/1n+SwNw8hGab5LPFJgmslG/wY+HIEJLJ 2GOjNU7gqK2cIUG3IfQwIjNdfITAvB9SJSh3h9Do8eBn6WT/Lq232KKcPISe t7J1l3rI+XjBZ63xfQhRhxXvS5D9r4k+89JgaggtMre5O/4lMEhIVZuKDaOG AQW+1/UE/hhSNGmzbhhppzX4vK4hcIwffffl08OoSX1we0cxqW9O7Zmga8PI pM4iWzqfwNfP3wiJfDyMkjlfjvPnknq1b294WTWMdnqH+ii8JnBDc8Tsx75h 9CZ9mfSeFALvt9hNK+AeQWaU+A2M5wRWN3zu+nfrCIo7tE1ZMYLA8YXG93tM R5ADy3jN5jsEltw5/3nCfQTlhT6bEvQnMGfDSR7BlBHkultMb8iNwIVScrHb JUbRfzr7ev4/3zrh5fn71EaRnu/N6OBdZD8FrvQcNRhF2qK7mgw2kXqfadzo 4jeKXq15/2xekcCW7Y9K4wZGkcPL6a9HJsj9yUp/JI13DFmWJ6Xt6eHgnXVT kh+VxtCIVakm8w8H036YnqoyH0MSzUtp9/I5eChDgjVXMIY+daaV5wZzsPXq ArnlLWOoVXTaIvkaB/96fh5JE2No3zwj+qAbB2dH1YSqbxhHzZttB1sPc3DA pXv0U7HjaLvwJ0JAkoOF6LdU2rdNoMwcleiHIWxcrnt/o/++CXSqQ2ip+Aob 37GK36poOoF2Bv0ayz/HxjxRuftPuk6gB5yNC9L72Hh2ceTcn+cTiGPmVm2w wMLDLRavfvEwUbI3XX/4DAtnTNu/9xBnIpuEh1H/TFjYSdozV5TKROrpMqaP d7Jwz8HQ8oObmeiPaSzLZwV5vnzNHyg7x0RiGd+WOr5P4Z8xKusKfjKRjs5/ nuHCUzg0W0fr9D8mUrKS8nZlTWLD2j3bF3uZiJI0dkS+dRKXLLM+oLvERGnb zl4ffjuJ8y5FOedqTSK9p5lDdocm8VvzmfT30ZMomL4QUxfExBESVeuTbKfQ Ne7zHpJJ4/jLVsVPhz2mULBMvqLqmXHcY3MezftOoYLr/ILdq8fxzrdS5see TKGMROubhi/H8MAB6+uiNVMoK3T/tb6Xo3hv0OivqztZSMRv9PGK2GE8zRb3 MaWw0VGWzIVr0I/tm80x708Oenb62+yK5Gbs9eOW/XmVWTQwe4P+16scKfUY CHA2zaK6ZWet+p5WoCoewQw/mEWWAYd/fPpRidZAODPk+CyiVfmO3VtZjf59 fXwjJWwWrT/y4rljay3a8z4t/t/4LJKucq4Pv/wfknxa3rQ3dw6pFLzPeXKz DeV/CfWvLJlD+c+aKIR4O3L9a6x89PccMjmteEYovh39kPntbDM0h7QWnDNe WHegq1H/pq9Q59E65XWHZn06UeftIUrmjXlk2/TI6FJiN/rgKWK28sAC2u0R Zi9Y249+xkldfWu5gBLzW76lU8h9ukQ+Qc9hAcUbNmTynRpA8nLrht0CFtDP 7ztV+gcG0K3CfUGFnxaQiMKj8v0Lg8hyRcBHF+VF9FP8tV657Aia/ciU+j63 iExq/GWOLptA0m3T200Fl1Dnqtmu8DUTSGM5l20/ZQm15RyRfLZ3Ap2xFnsj qb2EKnt+GKsFTKCffGr6jk5LSNfyoIMIawLFWzh4i/+3hGw+P93zoIGJknxd hzSPcYHajfez18i+axYITt89xQWD4ykjn26Rfed7xd9+hgsSSh524Lgp1BHe Qwv35IJ49+dsVDqFlBJPHRsM4YK/F4T6h+RZKK7EpCQpj8TMGL+8ryy0XnDs 93QRF9z4YaJSU81CXw7dazep4IKAKiWf1x0s9LexfHbhPy7g9eWYlvOzEWVw j9aJcS74vT8k+s4hNnogqhO/QpkbdkczNjPr2EjZtO61syo3sDar56Z3sdGH aM8vBRrcIDb+0khtko1qV71t8NjJDV9O75kJluAgMe21wlXm3PBMfmYu3YiD 4i+VrFQ+yQ36Z59cTbPioA3f7NdeteOGXxt2fHdx5CBj/YQ9Kh7cILHxD5fR TQ4KtVx5JeguN0j+ueFom81B8k8/324K5wb+F33vnhRwUHq7+UOtR9xw+7x2 42NS1+VO9zPbE7kh0LLXuK+bgwR8hXp3fuWG3xdihxrECRSNX00+KOCG0OMS DJAn0Bq+/VxDpdzg9w+d9lpNIP3wIIWYem5wYGpdWrONQIEJ80dZI9yQ9mTv 2t/WBDqimeulNsUNCuu2/Nx9lkBKhRfv289wQ0DaTP9FdwJ97RqqreXngWNi pfI61wkUfDFtYpkID9DSH/LhWwSy5LOXQCt44MJHFUnJewSaXPPP5K0SD8SO 5p8RiiNQwedH53tW80Dv8iMPPiQSKGL/kUgFNR544VKcveolgdY7l9WEbOUB 279uaUc+Emh6JnCsYBcPNPzStJH6QqDS0N1i03t5IK1nsulZPoHs33w65HiE Bwx2hbN4KwikucvL/bklD4S6TV3trCbQYrV6eIM1D8hEXXx8u45AceMvfuo5 80BfaOtpejOBnG6cHrl6ngcSD1kQK9sJtEVSQeSDDw+ENfNwGrsIVKf94OCq QB74t1FhNnWQQInFh1wtg3ngQ6fUwOcRAnmYC4aFR/BA8mYbsYhxAun2lmSU POIBJ/oeO7VJAgldulE5F8cDeXG8/0WwCPRXQHdIO4kHrJ6MnMrlECjtCSHo 8pIHmOVBEy+nCeSt+nFd0lseyJlov3tqlkB7vngc+PuRB24Nyaz9N0cgMaP1 zuJfecD87v1q+QUCtTT1BhsU8IByTP4N5UUCZbgmvbpeygMDo8v1Jkh8Zd66 PPsnDyQcb5G6tUQgg/CVA8N1PKD/JmW6lcTSSg3LGP94oOZz9eQCibsyI1VO tPOArlExXw+J36OD++/3kvG3MjWjSOxfK3CufJgHUkyKr/KQ2Niu6M4Skwei z6R27iDjyU9eT9syzQOm+ryu28n8BgK3l7ovkv0rMly5SOb/WYrdm8LHCyvf dw4Hk/XdSnnP3yLEC5TW7QP/yPpNN7utkZLkhUr57+JMkh9aqco+I1le0Njx x6GG5G/MstvhpiIv7BJhDXqR/Ob1x9/KZfDChF1AUjPJf+iVEynj63hBX6Q3 XHiUQFaClJK1mryg1RL1gXuIQGvjfnef2sILH5PHxPL7CMRaH877WJcXSjRd XkE3gaKM+fbyHuCFqf11sTGkPmxasf0OE174LyNj0f0PgdQ9fAO9LMh8Du7H gvUEKo+cLGy344X023WPH5H6i6ZldlKceMGvoPhnUAmBHD44cx/24IX11/yT tmMCcdV3QN41XvB9beE4Q+r71mB+0rWbvHBij7lSwFsCCXI959kezAtju/57 UphGoBUbjpd8eswLTaFZjOsxBHqyd+sa72e8sDS0zZYTRSDqCZk72i944erv x1nqIeS83/29/917XhA7qjJae4XUw/N3r9xzeIGYub2025NAGtnhgur5vNBg KO7nco5A2zoPVL2q4oXl0+xls+YEMtpZdDi5jxdyrtp+WVAnUM3RxHe2o7yQ STnocVyZQGZO/hKrWLywu+7x/ouyBLJ+vKPuKTcf5L4I4O7iIudhPMviMZUP OhSXVb6r5aCHL15YB5vygX/rtJOGAwet/Hrzu8FxPqBpNPv4W5DndO1pJX5b PrgYOyAeacBBaQsKHTfd+YBqn3N7UoWDco89OuMbzAdhG+++K+1noxbh2y4e +Xwwv5HvWtVJNrJVPlOl/oMPzNW21W07wEa92/aoD1fxwVE3kRznLWw0dnZh 9Nw/PvAYbOCRlWAj7gIfLzsWH1gTCa9SC1horbfjFfP1/OB+ePJEMYWFNuxo N0vQ5If0m2zEw8NCOlxWG4e28ENb5e8I8dEppHfvQF/AXn64KKN7OLpoCtmk qJu/tuYHjbKeqBOuUyi6YXIjTyQ/VPtOiE58nET8mwP6303xg+e+LQc6lJlI ZI4omp3hhz1iagLWy5loRaFn/D4uAZiJ40l+OzqBaIfsLZpFBMCOueJOfc4E 0j27r1hgrQBEq5W5axlNIO/HwgmnrATAeE/vsa6aMdTDfmIp/F0A1HfWLdUJ k/f2PZsuthYLwI3rcudFy4fQ6fCayHeVAuBwJlBqNmgINa3mrzD7KwBxm3JE R2cH0W+zCzufTQmA7dOEfSa9Ayj/gzFtw/plsK4T//3wpg89ceceOvxkGTRe HXv1XrgLGfW6XH/gtRzOXvliP+Rdiw73RKkpKQkBe5yn2tjxD/6p1tNgvVoI vLXjSkOJP/jgxa3+T9cLwaOWz6cjgv9iQ5622pVbhSCqrb63I/0f1qOpXZI6 IgQOLT2X7g02483WPwqWBwqB1ZSkc8+GDkxtmLGY6hWCbbMjnTtv9uA4hUNL WiNCsCm3UKOnpAfLnUl85TkpBJGEV/Xx5b2YMmkwN7ooBKkhWoEZEb1YQuJR 4oCsMGzrL7GojenDvMYaw60HhEGgb04wOXkADxXb3yh/KwwywhtXCgaP4FX3 /7pEZAvDkaEQC92KEWxuc9jC/JswfA2Ik1MUGsX509vXd5QLQ9pPg4M9oaP4 wQbJBqJbGKqGPwx5B4/hnU+wioq8CDwtMTL03z6BPR02rxilicDIkU+1Vscm cJrW6/ksFREo9Hhzk89nAkv8jP69e7MIXL5TI1PzbgL3cHn4Wh4RAZedP1bQ GUx8z4X66/YdERhyeJzvzzWJC7c++HIwXASob7089ylMYg7f8hTJRyKgtUZq w9/Nk9g2YerK8yQR8AjTDLB1mcQ6DZXKn/JEABftWcWqncStu65e6pkUgfMn X3UPP5zCK4THbTNmRMjzONX46OspbPjX4aAnlyh0d/yy9S+awlkXjtDmRUXB TveMv8bEFL7zUqVSap0ouP/nuK3dkIU1JBsV954WhXOTPVsNx1m4L7wv8PFZ UZA5WKzzlZuNnwsR/f2uolDfeiqLkGJjEb6VWfeuiEK5yPuwhq1sPMQ5btB4 XxROiTN2SF5n49SWVg/nElG4/Vw26cICG1sfH6v/VikK3AdYHiEiHCzduLhN 7LcoxDzV2OCswMGBv1bxfmwVBeP7KY2B2zjYtsjuyTxHFJjqHFt5Tw6mvurF kevEIFTO/O+3Bg5uWM1Z3bVRDPpU36Yd6eDgsCSBUJ0tYlAqSli/Gebg2TgV 8396YjD06q9sLjeB/4Y7Dyhbi4HrCe0eRTXSrwtdO+RjLwbpB73E+3VI/3s3 NKvMSQxEsp+YXNpN4M83Xvu5+YiB/E5Kat8RAj+8OCrxOUIMeK22FwlfJLDR xILP8sdioLFNKovHl8A87mLNJ56KAUOrqjs/kMCejhtTl16S7/9+8/rOfQKr diMh00wxuM9OZDyIIXD76SPnU7LF4MMkLc4+gcCHj3ttP1AoBqs9cyxN3xBY oPFm/NMyMRB3L7vjlUXg76YPeMeqxaBhp2WIBenn1Y0/Vj9oEgOaYfc/V9L/ 95QXa/d2iAHiaZaMLyfw030NT7b2i4HTXf2JR9UEFkJsu5YpMRAeOe1d20jg K3tUl3+eFYNsy6NJ7s0E7tt7MjOSWxy4HHSHStoJbG4QYe68XBw89JT2NHYT uMiwcFZPXBxu0lhPkvoJrHmQlUiliEOe+reOtcMEjj+ksp9DFYfEx56ijmME FjlyYvQXQxzehEhKnGYS+Jpp+MP09eLguPVpkySLwAPmBduDtMTBuFrotD+H 9PvHptqtt4lD19VTkSnTBC45vvbOFiQO6a5Rp27NEljb+ri6hIE4KP9O/KY4 T+BEm3t1g8biIF/+/ZnnAoHF7PCVYjNx6H3NWvr/9yC/M5NKz0+Ig5K/4rDe EoGHz675cclOHBY/rHYoIvEJJyvXI07ikP+V4zlH4nKXMMn158XhsfAN2TES b3HPz+G9JA7fZd+eiiNxynnmqVY/cXA3dTnAReIVF1bz5QSJQ5tGSscqMt4N 72MZUaHiYETbv26GzG/sUugRl/vi0B+L1t2bI7D11e+cvTHiMCF2re/vDIEr fSeeKSaIw9PJLsd2gsDb/Bl7iVSyvlzH9wlsAqfdsBysfUPGr2OWy00RWDoo JDLjozikfvL8fGiCwIG38zbf+ioOUg2//HeOEnji7njzqUJx2JU0p9I9SOCf 9yxUJX+JQ6a0q45tF4F3RAbXDP0nDmeT7r7Y3EbgV/e/eZe0kP1LVxb+8Y/A t6LphZeHxGH97O1myVoCT8aYnzvKFIcsVZUjvyoJbPv0rqjaNFm/icBfgx8E VqrlqI/zSMCKlJzrDl8IbHFUgstaQALOWo7VCH0k8L26dfXlghKw8XlatCup 59kG66vJEhIQ8thhwjqewI3/in5YKEmQfuzBM+4AAouebIkpoktAFY+Zl/8l Auu3sF03rpGAH/xrQz+7EzirTXWFoLoE1N+pHrM6SeCI7gibvO0SILgpwcx5 E4F/OLzSWrdLAuz9L64sViXwfG8hXzRIQL7UyNhfRQK7DLAyzu+XgK6KB1u3 LyPnffQEoWwhAT1Z4+t/NXJwvHRQfYCVBFg//PfSsJKDWTtfv2s5KQH6n7sy bn7n4MTQuXPR9hJga1I6ov2C3F9Unv0V9JSAv8lz3E9cOfiNfeuXiVAJmDl/ Nih0go15QvmjD0VIQHl79S6JDja2+rDhQsZ9CaAUMVZb/WJjfi7/9Q4xEqDh Iqy08S0b2zxXevonVQIk04LcFs+yscTf0375BRJQ3fkjy+QnCzsu3bVSKJEA 0dQpSfFcFs5b+17nSpkEGDw9PfrwBQs7+3CNatVIAO/NMf7xqyxctCLpVGqz BBQ21GxjMljY+1DX7nscCcjOrvE77j6F/xY5cJ9Ql4TsQP1DN/4w8cSeJvnr GyVBtuVYm24+Ey8rNNFJ1JaEuv7K2uoUJt6Cd5zr2yYJBdLlVe5eTPzom0T1 hX2SkPq1L+fNciY2yc6LCbORhB2TvYPWGydwaaq05vcoSWgq/rXYkj+CPwWX 2NDYkmD77fDar9k9+JVR1cq705Kwaf3iFsKFvA+I1NWNzkmCnN4W+gytB9+I ajf4xrMCdqjTOYfvdWPjmFkNS4kV4CkT/eOEbRfueqm5FKa2AprX7tRyWmjH YmXPEgi7FXBj/wbalE4jduT36aipWQEZTzQDVvMl4jMXfD+JxEmB+l76OYuk TrRFu+3TuudS0K49Io37OpHQJHw2SJSCtS+XDi+odaH3XgI5N9KkIHdw5VfW py4073k/l5UlBbVTcp++l3Wj6PMvv7VUScE6ym5+ta5eVOFWX/hmQQoYHW1u gmOD6Jn6lqIKLmlYpX7Gs1J9CHmOxBT18UqD5CbJhYOuQ4jiZlNME5KG4GfG rhH9Q8jedbDkEUUafgpPvOFqHUbzzktlfhulgb/M3lTh2yjaeE6txthOGjKk 82zlEidQm/Oq828dpEFP9d8u3e8T6J6blISYkzTU01XPbWyaQINec0d/eUhD 4JU269tSTPTCr+q/o37S4BuBhPqDmEj2gWur5RNpWKflIrfz5CQqfXTaPydO Gua8OCK7fCaR9xOzVSvjyXxssIFQ5CT6/Wyn3b8UabjdmH6Mv2gShb0U7j2Z JQ0U58/xl9ZMoaW81yO21dKwJqjaUaRrCmXihPDCWmlQNBMbT56eQtZFDzWU G6ThaPrsfS5xFvpS5uvZ3SQNoUYpdImdLHSx7iDr7IA0KIh16F6NYqH+/uE5 F14Z2NA5LrtTk42ih9qfVQnIwLa9xq5r9rKR/mj9LnUhGVjsYSvWW7BR0uS3 gFEJGRDaEtR6+RobnVwI4/VUkoFHWqWunQVs9GuFurDPdhkYyBjjCOpx0G53 98GnujLQlJuwRvoIB2WWZZYVIRn4XQidfac4KMJP65aEgQw8zDK27b3CQcZ9 WxZem8pAnMEFL703HJQHV5rrLGTg64OtkuG5HKT+9MuXGSsZuJNWoJtQwkHC R3Qv7T8tA76Gd+vkWjio8sue8S5XGSh1L912djmBdkgHVQuelwGe8ZBLgytI f+dR8lrzggxk+3df0lEkUAhjv5P/FRloHSk8oaRFIMNw40652zKwel54fLcl gXL7wzEEy0DbwOmbHBsCqej9en4uTAb+rKeKepN+UIA4euLTfRmY+73lTcFl Av2wPVZ/JF4G3rk1Gz5/TCCdbzEfLifJgJ+e2PDNZwRKkWmKjE+RAZizrlV7 QfrZSmvjkQwZ2BgwrPvrHemvV8evl8qUAYWlq+/LPxHoTED78h0fZOBGVSG6 +41Aejr2P+7myAD6KB9qVkqgrIgXLzK/ysCpoGtadlUEUh7sufnfdxm4IqhV vamWQNzx53YzSmRAKwl9VflHIM/pV1SjMhmIOtdHGLYSqMN0aNazUgZ8Dt3k 2dhJoIJl7jn5tTJg0ql57MAAgTTtMx/31svAMv1H4deHCZSYN35R5I8MlG8M cb40RiAJWS3TTU0yMLm4pXMTk0ABXhc0T7TKQL/wj6FPUwQaq/oodrNDBpZ/ OOE3zyaQzVr2yMtuGcg1XHVv2TTpl29sqarpk4FjG3ZI/Jkh0O7my+nsQRkw +FK36DJHoMzNX+5SR2Wg10DicPE8gRSjZs/unZCBJ5ryrPYFAt0b2qnvMiUD lgfW9RcsEmhe/7ryfQ7JV1CzsuMSgdwS8rlyZ2Qg4hDfm18kbplZamubJ/Pz PRX8/+83xuZ7vvNzUYDoSvw+TuJvmYFP1XkpsPZY8NE0EgsYW8g/EaDAmupg DykSHx1UieUWogBHTyji/99vnt2ZlXUTpcB0h2WOAplPP6M6ulGCAvd+5TI/ k/lrFybI7JGmwIqt1/RFZgl03ebCo9eyFBhCvZ8VyPrL5/SlKAoU8F6hf6SX 5EcqVvbBDSXy+T8dss4kfzZbhiSG6RRQ/swv83KCQOn1eZEWayjA/3f+cMIo qRfPSLECVQpQz0pUHx0iEBKzD1+vToHS26HR//9eE/paR+TxRgo42H/K6u0i 0H+Gy8KWtClgyWhWLWsjkGvQm+CG7RT4PIXgy38E+kwLWIZ2UaDXTGqi4v/6 yT96Jx0oMLBdSPYxqa8n05wg//0UmNgW1n+igEBdjyt4Bo0ooCPo/9riK4E2 bHp20+wwBV6VblARziZQsfueAFULCtD25L9MSyOQmLD04gMrCsz/edp6L4FA x1/1+S2cpEDjTs0NGjEEGu8Ku1ZnT4FtSpd9k4MJpGDV6OPnSYGXW48GmjsS yJH9itV3kayH9mUT5RSBPjzwvXj0MgWCd1UVPTQj0P5qmtdafwoUlvc3FyEC XdRzdasNo8BYuVzmlDSB8tt3De+IpMD52w+knwgSSPC6hEvqAwpcOPdjN7HA QQk5n85di6WAvF3q1bFeDqpS5zqz+iUFaiNsy/OyOIhSWdcZkUGBzc15YUap HGR3LtV25i0Fjv9xORD9hIOIJCObmmwKLL1YZuLky0EM2cfHrxRRIHbSsmgW cZAv9/ojP1spkLQrgXsxj4369IX/ru2kgMjSMuvfr9noSPDI6Zs9FNCLia89 F8dGq8Xfnd8yTAFp3n2/2i6x0U+qTmTiNFnffb6Hs+pspLRtd423lCzsUdPR kolgoWDfVZa/KLKgcX83W+sqC03mc7Wtk5eF3GgZNRkHFirbVzzaRpOFy/eX ujduZyFPM0PRAxqywJ/3/Oj3jilU5GFqrHhAFnjG9Mw9yPNGPWtTw2VjWSj3 4DcWF51C0Wxp6zoTWTDclJhxjTWJXP3+uN61lAUFjf2FH8jzSjrUOox5hlzv Wo5luvUkckx1rPzhLwu6nfybF+8wkVDLNUOPbFn4rrc/ItljHG25nC4amSML 9x3/JuPN48huxd+6d19lwfpQnG3U/BjKNdx8ilkgC86r/2MdDhlDjp/Gvbyr ZeGumfdlk4RRVBjh8PRanyyUFvBZtn0fRlf2HB67s3IlaESalBhX9KPeNPqj BL+VEJG6rGXicht6pCrH98VCDhhddjve2hRja5u1L7ut5CBrsCyJL7wEr360 yUjMWg7YE7GXVb/9wNlLh6LO2MvBmco3Byso5bihMZAqdl4OVIVSUxWrfmKp 2yM6Z4LlQClTKr9wRT1+0InPin6Tg8NvKPtcDVrwCdnq5dvy5SBtcc+nu39a sPKhptf2hXIwO3jl50mnVpyVy2LmlMnBGr582zUhbbgucp2/fYMcXDpQGRd2 pgNL7n4YnTMqB6fyOQoJsV04Ks6xzI4mDzWSqysvdPbhy5cCL/ox5MFM5tjb BuV+bGMav+rJWnlAXw60L57px+pCjZd/qsvDoojlj/TeflxxdZ/q1u3y0CLm 8NGwbwDzHF8dImIqD5d+K3UxWoawj2yXUU6QPETqnLimGj2GracWOL/vyEOV kcKs+68xrP9L7sVIiDwIlTofc14+jlfcPTpHj5IHQ/rFOwFXx3Emp+D1vWfy 0HTByFpUfQIP/JcgYv9JHtQC/0NGvEx84tGpGpF+edgR90Uz+MEkpn4UUnAd kofJ60eql72ZxO2/c85VjMqDU86uG6Y/JrGD+AruOyx52OzjyW1ITGKP0NJN S9wKwEe/d/K11RQOvLExlklVgOf3gw5IS7KwfkJLrwlNAUqtiHcMFRZelh+i nclQgBiXq8wZXRa+N9dd5bJeAeq/jVFnz7Fw9KWYxe6tCvBVJzRX7xsLp7tx OzSaKgAroFeuyJKN3cIy3+tYKsBjEd9hhjMba2ScXHhwXAFey29jG/qycVb/ p2gTWwWYXn6+vDmejfPsXSrK3RUg+l1mulI3G/vflKWoeCmASYHP9UdTbLwn scT+trcCnBBNEvrJy8GlrUrze3xJXMl6G8Dg4Fqreo1vwQqwsm5vMus0Bz+4 fMNX7h75fll75UUPDraI3lB+OVIBmhtuOH704+Cm+rt2OtEK0JOWbHYxhoN7 Dus+evtCAX6qroxk/uTgNPfBDuGXCvCwK/Lf+X8c7HwveoNLhgJ8iHp75G0v B49VTJSu/UC+v/U1/ewCB0/rp84k5CsATSpyungd6e+/JQSVFCqA0HquQ3dI /8elHSc6WKIAbrY3D4rvIvCyVZF07SoFEOA4LnqbEJgyc+VAyR8F8rxN3hPu ReC48xfrB5oUYNPg5ZHAqwRW7HM/JdqmAGu3F7/ffZPAq+vtvSx7FMCjwH3X 8igCb3prHDswoQD2bLZbZwaBPzP2M0RZCuCbZz3I/4H013F73moRCpD3M35s /DOB9e5uKby2oADKD88dlC4icOmC5sEELir4ZZb5Hy4j8AFvtf+Keang1Ppp 8tBPAh+xow2KCFHhLIybPfuPwA1/5C9qiVLh7T8pxWHSn1sdllmwkKDCb9qD jsVWAreUiN+9JkUFzYvFMX86CXx6p5BkAoUKPV1r9/r0ErjrA9/TYjkqXIjf 2fpngMCOqkurB6hUsGu44bA0TOCh+JlMERoVtn70aRweI7CHDGubFoMK15xj NZ8zSf8fNlZksZYK79a4ekqxCOzDM2h8bR0VrCkuDw9zCDx9pbsxXp0Ky11k nhyeJvsx3mpbvJFcz2TkitQs2Q/Hv0P92mR8lvuW53MEvtVS5y2yhQq6wXLV w/MEXm5Wvai5nQrU7R47lhYIHFZRFmyhS4XYzcO+fxYJLAZFK64hcr034pHe SwR+8DnvWbweFfyrTng1kpiyIWdt8T4qTBYepJH3JRz34sP7fkMqyOfbxQ6Q WEn+zQ4RY5LvMYWmGBInRaWVaJpQIf7mTLsoiVcvSzpsYUoFgbSrr/aT8V5d f/r3qgUVtoUqaBmQ+aizHtvHW1Ehz9rmsiCZ73uXqJGik1RYaVx45T5Zn05n 6KV+G7Ifd4q128j6c47d5hKxp4LHzp7kcZKfHTUBoZpnqdD+fqn0B8lfvv41 aQsnKpz4mJRiO0nq45t3/FVXKmy/kGJYME7qQ+u8arwHFRbK1Ap6Rghs9Mo5 q8iLCqqRJ1fWDBK4WslBt9+bCruTj9n49ZH6ED5+RNOXCioU/QGVdlIfgWZN 5v5UWFTzM1jTTOpj+pDD1ZtUKCbEy/obCdzdq3el6C4VGApNZ/KqyfgJNcnr w6hQsSDcZldO4ESrE9UPIqigVF3iXETq1abKS/nMYyqEdxZMZ5N6/n5rwbgq hgohi/6K+98TmLo75PKmZ1SYyvkS/SidwE3vE3/yvqBC3bu4CrunBN7uok64 plFhXem3lM6HBI5h5NIb0qmQqWoiq3iPwJbRvy6lvCf5DyziL/MlcJ3vIm1f PhXO6bqyB44RWGtz6MG3hVTQEN2Tuv8wgaPGZC7J/KDC4xntd/b6BD5st6Gq t4oK0bYWFjUbCVxpYO1z5x8VTgvM3w7gJfA6roGEsRZSb2byySX//3/il4uV lh1UOKK9jlY2zMEG6mGrVPqpcKaLp5SvnoOLJL9WlLGo0GHjaO4Yz8H0qn2s jdPk875tynFRHHzj1m+lmDkqBChf87gXyMG7iYGLTjyKkLW6R/vtWQ7+2iKr JCihCAE355x6VDk466XPBSM1RbjRO3fo6As2lrTjfp6loQjnH6zbFXifjT3l w8vktRVhvatBqHcAuX+Hp1CHtylC8aocRvwJNs64UF8aZqAIVvuCYoXF2Dh5 l5ZCtZ0itHDpFt50ZuGiw0JBcw6K4Fc/V2lmwcJdp7uH1jkpQu5LP8tJYGFG 4OOvdzwUITA3rPqxLAunlM4cB19F+HL4i6Vf0RRONSmK+fhIEdwWed9Mi03h V3ZmlLgyRZDTPmq15xYTl19Q9y+vVIT9SfUxK1yYeCCIv49TrQhXh3dX5pgw sWpaziezBkWgJpdwBcgzcfqQgoVopyJcCSsaWpY5gTMu9jy8MasI9gHHnYLi xvHb2z6S5zYowat/0ioJLcN4RPdU4G1NJbAKeOYRkjBMzpv+1ItNSiBPc7uv aT+MM+yl/+vYrgTCome+5PQN4VfoY8wJAyVwe7Wh9MvIIE6ZmVh1+LQSfP2e yCs52o/j3N00Nt9Xgti4Cvrp4m581+LMQV62EtRd37SS0/Af3tySlH63ehWk hVrvGPGuQxIaTtPvalfBiuWGg5GC9WgkQGP/3/pVEHo0Qp0vvh6lML71qDat gg3Cd9OtShuQtGvDqso+8vnzr8VCpP+gWT/egwJcNBgeuu5dktqM/glvKTSU o0FpzLhbp2EXKtWJHWiRp8HgrQPrmyO6UPapeXEvKo3018lxaQ1dKOpdkU3s KhpUbvMZe3e6GxmamcwPrqFBdJPvv6sXe1BunNPWMG0aXK/f5m15vw/FrHv6 tvogDazfN7U/SRpCrCmD1KBDNBBepl9e1DuETPInn203oYHYr/5lCeuGkYCZ 0b1UUxpcyFh70en9MPLxm3G5fpwGpw5d3bfu6wgy/XVMdcM5GvyMZlR++j6G MmN5ad1ONIjxX14ZS95vBR3eyca60CB0nZEcY+c4KpgWWMbvQQPjDtNO5Zxx tFH5c2+LNw3W5xY221lMIBEf6Rf3AmkgLXwsn0BM5IQK4vRu0eDw+IdsF2sm KhZ0ezB9mwaNZ8MqMq4w0bX44psOITSosNPkvv+eiQbLLtjqRtFgzm+38aji JCqV/6048pzkUyTvU/LYJAooCI85+IUGKy/U6E+eZaGh1oJHM19pwNf/vn6F LwtZzk1FvcyjQVqE58uZSBZS33IihLeABhn61tpyX1jo7+u1176V0kCf9flc 7HI20n6CT6o10GD3zD4d12ds9Dx78ti//2hgyOYdanjLRsvr1pjf/UMDXd5m H27MRu0i94y7m8j1glxskjvY6F6g1a6nnTR4c2p97CKNg/rcmUrC4zSwfL+s b+YxBx0NW63wZYIG5/dNaPu94KC8V8dkz03SwPOlUVT+ew562P1dvJhNAzWD hIbASg6C46FcvvM0ENCaVhSY46DXl77Pqy7S4GCk8sbbAgSiPJqYblyiQdbK Z6bFkgQarbFkavPSgXbIy9pPhUBx+oyuIUE6VD83N2kzIRC/vWVbjDAdHnx+ VWp6nECeASFNBqJ06Nqx2em2PelHv47XJUvQwW7tyKfV3gTK+qP868gKOqS0 Sqje9yOQEtuialGKDpmJ9ke+3SL9/Ma84hOydNg4dNPE8BGBTh8ax8vl6IAf 141mPCVQpYty3md5OsiqPmquTCZQYmpw9golOvCpSnrpvSeQcPG39wWr6GC7 OmUx9jOBLnWMvfGg0+H2dfOXmXkEOqRgkVq5mg55Z/JkxMsJFNOjUXByLR2s zYyquasJ1PN2efOICh1qtE8qf/1NID/IkxBXo4P8oYhrvk0EKheMVktUpwOn 2tvpVhuBpOvPG2hp0CG10rHCtItAb84y/My06HCtmP0FDRJoWmMhukebDi/4 j+nYjBBIf7rxg48OHZJNjIk94wSKKnz/U2ALHa6UbJ0eYhKoOTS0/8lWOqy5 66t+nEWgteYOPOu20+HN16sh9zgEuqC4W/HrDjqIBT7iuz1N+vk+2W0HdUk8 vOmh3iyBhN4zTVt20aFk3Z2NP+YIZHm1yt0d0YFLx7FZZIFAyXqpwYtAByJs NEZukUBjwgEvIvXo0PFxs8swibf/Z5VP06fDxAaro4FLBLoVr/3vwz6STz+P I20krj0nwtLbTwcH+gPnJRJTtfrEGgzpsCmhJb6XxE6zeN1ZIzrwXjk3+f// /2QXx+pzDtJBWMPYkZvEXOEXT989RIcbe1Pmt5DxjC0PXVtpQoeYHSE5WmR+ MatUHqcfoUPYY+lYJpl/zwDX+x2mdAhvPP3iElmfZlZTZZUZHf4E3PpbQNbv 55vda21Bh2dSz3bUkvyU6UdwjVnSgSJdUJVC8rdCzEkhwIoOV3mFInZPEsjm z54tEifoMHvmYdBzkv+MRIWjSSfpUJvjk1lI9ofjzHbVPkUH7ZuVEq/J/ult +nWn2IYOl93wm+N9BIqYf5VkbkuHU8tkQ6rJfq+NtP5z6Qwdej5H7OBvJvtj tWVy2Vk6ePDaqVc0kv2hS4jGOpL5FJ95YlpHIIvsYr1vzmS9wqdXfCb1l3j9 +SljVzqc+CmIoooJNGJw+UqrGx0EPA8oaZI73K1/6zOXztNh8dfwhsIskv9k voooLzpolXD5Zr0h+Xdr66ZfpANDWDzbOY1AHxfvy+lfooMctx9jfSyBuhgz t4L96DD81DKE5UsgjdG6BDl/OpTrsMso5Dxe+/zma0YAGY/L8uySK8nXAduJ n4HkvBndWWCcJNAej7KTkiF0iBhYsvq+hUCzfwcNSkLpMOK1ktijTvZ3r4j2 5Xt0KPw5+iWITvIhd3R5ayQdAu8p6yBhAomUNGW/iib1cHAhLbaZg0o1FhJO xtBB8/I+WeFfHBQQuypMLI7UZyIzd0cRB016ONh5P6fDtF8F5b+XHPRXbkwU Ush5bcwanjnPQQ9uScxMptLhaYxAmq0dBx0c1+5JfUkH9QNleXdMOSi/5PJX 4dd0yNiQXiCpw0Ep57nP/flA9nfZC2dVFht5/pAu8MBk/ori/oFObLRekzR+ heS879+cyLZgo+6449ENRXQY2LWRobaXjSw94912lNLhZhBLrI3KRroKqnIC 1XTQ4b3+n3M1Cy332nnheRM5v4e8z5owWCiBar/6J5vUY6cjCKdMoh2b1DTs CTqsJKzLZsImUcMB1tbpaTr8rajI/HJxEi2/fOfg6nk6tKS/eJCpN4k8f2dc 8ONRhnVOz45dbGMiuDNVoC6uDP7fg0PiRZmoa/zWqXBVZUhUWGp7GTOGVhe/ jD58Uhku3vIIPva5D9WoT6e0WCuDh413la93H7oSbfjRxUYZrs2Zljtr96Eq 58Ffd+yUwS913Cn1bS+6IKEmiM8pwyHrjrg3ST0In8r03eitDNaf2DYhN7rQ ielsW4lwZRB6HSMtqduCojYUra/LV4YP79Ku3uQUI8cpvt8V6xkwJX5Fwmu2 Fdtk6NdYqzNgR3hGS3NIG7a0u1U1voEBlXnawnMr27HBL95SGS0GgPi7W6oK HXjta55vdlsZoL3R1TNuSyfutedKndnLAOU6s+NmZ7uxQ93clXWnGPDwntJe x+f92Dpk56U8Gwb0PPTLkWzvx+bge9HElgGWx+x4A2kDWD9z1t3nDANqguqC M5MH8OrQGftCZwYEcvQ2rkkZxN17COPjlxjwVCh4E9fTYWz/YZIWEskAZrqz s575OHYLNJs3us+AS7TrMjMPx7GPWfYfkYdk/sTlnYfrx3Ew2yciKpoBbnq1 N51UJ3Dm9pm5J88Z0KUgxb7/YgLPFC41pr1mQGZAmuKGKCbmeWib5fSWAUG7 dlBr3zCxiENh+Pp3JF+a7711K5hYSSBIPzOLzN9/quY89yTWNxLI+vSFAeEH KIe3nZ/EUXUi4SVlDFAXDOcXginSf7o73algQHLGvBr1+BR+4V2z17CKAS9F vj+Z9JrCnylRs1U1DIg6tX5hKHkKt5yQcqr/jwGf/FYd5OZhYZVuub1d3QzI wy3ud7JZWDP7mlJKLwMczGM1vlaw8I7bzTNn+xmgYvMj720bCxurPH8/OMQA sUe8WvXL2PiCK02JyWRAyN1VbyWOsbGf7s2ZrCkG1LWUDu10YePbol0N3mwG rDfrEVlznY1j3r0Im55mgCy/uYxmMukvbvCd+zrLgHgv8btHs9n49dGzen7z DFhpJ8XaWMrG2cqlirsXGbDcTVq56g8b50+tnVlaYsDk+rJG5UE2/h9vCaDQ "]]}, Annotation[#, "Charting`Private`Tag$7954#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwU2Xk4VV0XAHB3PNdUF9d8cQ1FkiKVNOyV5pK8QpKEKMrQKKTSRIVSISRT kpAkDSR3iwazUMYo8yzznO98f3nWc+x91tl7nX3X7znK9u6mjlQBAYFKuoDA //8+vmTP1HEI2Ij3RzyJVszLLajiGe3nOSM4Hxy20ymGP/8l9xqP54WeGchE RB57yX+Mg5QYvFvoi7qjV5kjn++y4ZzrhFIEenN+2lrqcDm/asYp5K/Sc6S/ 8Qfy3tLMJxpa1PuVstBqkQeP0uoH+LX447m+riwUtqjunum3QX5yYnh+76ts tO9o7M27Vn/5xqeND/dszkHf+oR2imwb4ocJZod1HuMj+RCpve7SI3zxqG/U oZpPyICb568dN86PK4o51atUiPys6ye61s3xR8PfaDYHFiIN89Kawmdz/G3H ilsrpwpRq+68Y674P34fbcI8u6oIpUfg6er2f3z9DcYGt/xL0OaAsfPaIIAr Xs5S1QfLUaT9XmPRTxQsjgRtRLUrUMxWalzDIAWvWxxi4O9QgU6aRrLlFaj4 zujzEe/vFShtY0VS5zkq1rv3w9E+5TvazUu9GMyj4ctFWrt0DlehK3e+FM5Z 0nHSq3eLU0KrkN7cRrGNF+m4MtyQtqikCkVubP1bH0vHascsc2TWViPxTXyL xR10XES7ri0g8QMJsJt6O5wYeLRngbD3zh9IyxLkBv0ZWKEyonPk8g+UYJL3 ZHciA5+MfRnb2fcD/S59Xj73m4GlNjSIl3/5iWjTPyq0jZkY1I4O7pj7ic7K jXfiY0zsLDxU/GllDbI/nOkT68vEOXXMG29ja5DtwYrqLelM3IHv2a2oqUE7 zj6aIL4y8cIk7sZk0VrkcSLBS/IXE9t76E489q5FzA+e2qIEgQMPfaySflWL jkR3ao7LEfjNlh3p9zprUUH6F1l1bQKzJGycb5jVodueXHsbUwLrTndtnb9d h9rer75x5AiBD/45o+KVV4f0NrK0084QOO3lrQYX7XoUt2q8V+w+gXvEewJ3 2dWjR6mUToghsLrHro0aIfVodp9lYXEKgR3qkgcZX+vRIv01mzPeETh2vXBc 61Q9Ou/YQB/9RODGmBOmeVoNaF/XldzgUgLL0kpoMYcbELf0GO9mDYHvFwYe tfrcgCb72x/f6CZwmVa/tP5kA1r6qlo2YIjAwsF7CiWXNqIbGiskeiYJvGPk hffIoUb0obzjePw8ga9bLND6HtyIera50TIZLIyz3H6l5TciHe31fEVhFp7j lt8JHG9ELxZ98W1ZyMIGvsvh+JJfyKf0iua8BAt7tN4d2m79C73/3BZ9VpqF M7b9jV909xe6muaADeVYePC5iRnt0y80rn7+lDOXhbVEXzH+jP5CKyvvhXQp sLDTSbF3uepNaN8eTRGsyMIJVaecoqya0KZZdTxIxn9WV8p6BzUhq0XN2efJ WDFSt3g/bkJXXy/gWJLjrebu+6waIccfuNgaLM/CYbYjyyQWN6PjhUOgIsvC Vfn7mv9aNiO7t7pbRKRYmK2eGVwW0Ix+VDIZe8VZ2Og2xzA1l7z+Xe9RjygL 3+w/O3JrqBnFOFxTbGaxsH3S8cqV4r+RFspK1KKxsEC9XEr80t/oicTj3VWz BI4RLr4mtvU3yjWYVqsaI/DGDResfW1+o6wtq/drDZD757Z01eD530hAc+2S 5nYCe8c2iNrc+40+l+Z39jYSWKYyoKMk+TcykHjYbFpF4Le09fx1Bb9R8K8z hziFBDZb1fcw+ddvNLdQPm1FLoHvhRvtvMn+g+rXlkx7JxJ4RdGs8sSSP+jV xP7g5xHk/s+kTjtu/oOOJr9aqhdIYKHDoqmbPf6gxI+Oz2zcCXxtUdmC+YY/ aMkr6wkJsr5V9l/qdB37g34dL7+/jEtgfFMbNy5oQSWjHhmJggSe7b1zKntT C1re/dM3q4WJz2XsrT73rAUVmzx1dQ9iYk7bfGobbkE/B0TtHngwcYZk+o19 9S0otb5CR/4wEw94stfoiLaiygVfVx3QZuJj6HtE3+lW5LlAyST+MwMLxI9n NwS0IjjRJnEjmYHD6dzGooRWJLchSanmDgN/Kzyq+PxnK6ofL3lTbM7AGmaz 8Y4GbSiq3zRQ5BcddzmppzZR2tEd16HexO807FtsVFoq1442lbH7G1/QsIz2 6YGcle3I6Cn2vHuLRtZ/zopHju3IfPX7JW6Ihp9fNH2zv7AdvT9i9nXZUyo+ fv9ibkVwB0reP5v+8AAFU8fim/nPO5CQS1jLQm0Kjtz/TeDlpw508pCPsySV gou4EpuDRjtQFd+BVZokgJc+S/q607ITDTfdUFJomef3faiq+KTUhWyHZbx/ NMzy3dqXtGamdaOWlSmflmwZ5/+2qWPlFXYj3bZ5z/riMf6+2pvapW3dSCJp tKLZdIyvX9zp1S7Xg4J31HhO2Izyaa+esqX8e1DhsIJPgfswP9xHeeP5w70o +fm6FsuBPn6ehGzEWnY/MhjSbtZureULKV9Xb9b/i5RDu8X+02hH39bfW35p 61+Uedr/xl7FDuRnGb1GwfQv6uMnXnsr0Ymowe+3HzzxF11JCHj6ZLYLTf/r O1bz+C8Skt5gvfVLH+ptNE8qpw6hhCz6/auyw6gkXH0JLhlCK4p6riLVKXQ7 U0/ncN0QYov5rom/M4V2VGxa+699CP1LcJOymJpCBYT1zvXzQ+jvyMaypyXT KMcj2Pm9zjCSsPIpCTk+i16YTT1PDxtGkxci3U2uzCOXk8yMvU+GkUatH83r 9zzSDJTIHng5jE5Ij0cfURKAxPxlRVqFw2jg+rIVjj4CEK1r35M0M4xSkuU8 ODoUuMMu1oyzHUEs5vOz8tepkLVG4Y2x2whaH/pe6OlLKrTZuKPZCyNI2/yc XXg9Fda9kDDb/3AEFUZFar/TpkHXTuuLomUjSCtPbP+rchpwTqURHxpGUJoR i+o4TgMULnDfqXsEtZwZ1fDk0iGsIyExnz6K9CDg+7ujdNh8rb/ca90o8mp7 tu3iCB3ckpGV+s5RNNBqekFEkgGR3++1VVuMIv8FJhbDqxjwV2n11PLTo6jt 7rfKj+cYEJ1zSaUjaRT53a14t7qfAYWtFakP3o4it9dLVtgIMmFUSHXNpoJR lIZlzlerMWH3ga+7o5pHEWtMek/yASZMji08Zyo1ht6br+a1ZzNBVcF+fl51 DNHN6yVcvzPBeEvmrRc6Y2jLVOWdDZ1MeHrfMpq1ZwwFLz0h8IZNQEVWssZb qzEU/lo80UqNgNnfsxlHnMZQZqTo6m1rCDBdHvc199oYitS4wOq3IuCSxch/ LvfGUExs6pZnJwh4fnFro2zMGFoq99Lm6QUCBEq6/57NHkMmmQlKJyIIWDqy 7oLKtzGknGiBdZ4RYCF3h1HxYwwNrtuva5BJwAsnXbmlQ2PIWSLFb0EJAbV3 ryfU/htDbh+FE+p+EkB/91PbT2QcDenELmz/TcDyJo2slXLjSE74yJ0VPQRY MS5s/qM+jkRajds/DBPgp1VaemfVOOrdZ1PnN03Aq31Klus3j6PGiYDl9ygs aPQ+1dJtMo6ozpWp9QQLWPH5Lg9txtHVTVpSR0RZsLJQcmKLyzi6Ih+yQlOc BTZ/j10Z9hpHavfoeculWHBbOls41n8cBa33DDwjy4I3G0XC9oSOo41XN9mO ybPgt6MNbyZ+HJl0Xl77RoEFIkHpyUnp4yj5jMni14osWJNJXWWRO44+2f7Q I3//wL7BjE8rIfPvWnHGmYyFHv1xPVU3jnwS7yUsIcdnWLlxmzvGEdOGorKc nN9KbqbIaHQcyXQ3T3rJsIBW7++VTZlAS1SCVgtJsiA1gqOhsXACJbY6dTWz WWB2IO5nKHcC0VhV8jPCLJiV0b5B05xAL52XNh1ksiChNnvlqTUTyMRWexNV gAVG4dtbmrZMoGHjhb4DkwSM7q8ONjKdQNWy/X28IQKipO1Q9uEJVGasVh/R RcDWmv5+ddcJlHNBLPJAMwEDYd5Rod4TyFtb7LLtDwLCLIjdtJsTqHX0ckNa EQEdP3hJTfETSGWUu0X1NQF3Ql9YGKVPoBc76GM7EwlYbW7AyP44gf7rKjma FU6Af/U++9DaCeRw6nnNGbK+VoT8ZtM6JlDgqw2P+WT91e5z5Z8cmUCM1NoK 84MEaFT5cY0WTKLad2l1R/TJ+r4vUZwlP4m0Pr6sb1xEgKdprJf6kkn0xWFz XLw4AYXfs35St0yirKtpP6V6mHC8oi84y2sSObL9tmcEM0E82Aup+0+igYnG /jhPJmTvZQ6EhEyi9UKJlq2HmSBcrrT75MtJlG1y96eNFhNSS00Z6u2TKKLi 09+9HxlgFtT8OmR4El33ermmPYYBs0Yu9lSBKXQieOFU5RUG7Cm5wf8lN4W+ Ptfc9mEzAwaK3nuFmEyh1zZit2v55Hlze6sG1WYK3XpUbr77MR027qr86X5i CkUvqbmu6E2Hu4W9K3f7TSFTWeVTPTp0WPFNcYCSM4UWHNXftCaSBqc+X7d3 V59Gy/8E9sYZU0GxbRtzfOU0qrHTfB21iArFVMFkH5hGnx/Nb1KYpcAiCBq6 dYA8t2/ckM18RoG67FDfhIBp1LXW1XX/lABsSk+MrhucRv2x9ortC+aR2KNv 9ZvfzyBNh1OUCHIdcrNuXyoqmEGW/NcqSZsn0YlaI5X/vs+g1bX8OomaCfRZ 8ruzTc8MaliX4i4yO468gusmPbmz6F04i1W5cQz9udEjleY7i3R7UpdvSB5C r06K7JPZOYd2aQfUyli3oZJICa8XFnNInw7hYNqKOgrkYgwd5lBh5wXz8u0t SE52Sa/L5Tm0AQc8N9T5ja7nbb2W92YOhUFxY+lsDbIQv/z6uMo/9Dfp86eA 7Tlo+vWQxMeZf8gB7qvvK6nnc5om15oKziPddWnlf9sb+dosAdtOqXmkff3U 0ef/mvhHrBekiunOo4hU7Y0hYX/4JfSlW446zaOu5mGxbbnt/Ghzh7MLf8yj WJ/RbWa9/fy4Cyd6VuwXgOFlhXETeeP8FVhw0v+QADQZuqV46EzwMT2J0XxE AD6ze5aZx07wfwe18YJOCsCyRLcFi3wm+Yqxh/Z33xKAdGnhf/yl0/zIgr0F cTkCcEE2MNLWaY6vKTjwffKTADDkOrIvlczxs/YENu8tFIBHtUy/suX/+LU/ v03P/RAAZsR2uamRf3yp7k06VoMC4Lb/m6TcWgF8X1QvWlyFAmbviz6w4ilY xbQyxVmDAomxKygLSyn4VdjJLKxNgY+vIqUjJyi4QulFtds6Clz0UfmxdjcV L9BdLFxsRoH2A3Zrr/ZRcbRHgYzKQQpsFL6xLViChpd9sF/sZUcB11GTl3IG NGy0JWaTuhs538sB/9gbNHzbQsbzmj8FbB9EU8yk6Fju0dsb9UEUGC2xDddY S8fPm80e6IRQQCiv/fSpg3T8zeleWnMsBZbIbe08GE3HzAtC7euyKcDM3yXq pcDAYfyk4fuYApZB9XY/1jHwIvp2gZ4vFNDTnBeNOcDAW4KuyYdXUaDi82Pv 8w8Y+GrM7H+jfRT42WtC1xBgYpMV708tHaFAfFPVVStZJlbMO3PPfoqc766U 87QOE2e39FRUMMi+Yq1s4mU7Jh5eVLf3hSIVrr8QuBCYxcT4bYh7mxoVUutb 2dJlTHxnu8ld+aVUwARDSIjsrzWdv5bdWkOFL7xzV9RZBLZPfbPnqAkVKv1X M1btIfv9DadcH1tQYaR/5aoJawL/K9UKqramglalxWVFFwJHDj4pMXSmwnCV 78fImwR28j3c5+VOBaHvm5oHQgm8Wkxe5NU5KuwVjvJIjCdwpe793UpXqXBi /K7dxmzSn/l7TljcpEKZX2uLwmcCu5kJBgTdoYKtfcCqw+UEXt9ekFwQQoUL Qj5C1DrSFx6+RTORVHAqXgvMFgLXMtf36MZR4Z3xn6wTPQROfDghePwZFWY2 3LXSHSbwWY3XS+JeUOGzoS3DaorAm7Lcdta+pkIC89TjFtKjC3ZpOi/MpoLm yiZGCenRxvr2m9swFbpOFShLkR5NPhGXdPELFdxdoBqTHvWctf6WWUIF0xI3 gRLSo9uCZLp6K6nAW+dyaw3pUY5iNaFaR+Znb25KIz3aknZX3aqZXO/ebRuX kx5NR7u332unQqbvoRUfSE9eqmAe+9ZLhZqiN8LPSG8a2X3ymx+iwoczLq+H yVhu+GLi6kkqDKpFC0WTcdfVtV9c/1GBefPYaBI5/q3EWHsCnQZJ+X/3S5Dz X09IZzQK0WDUYMPOX6RHTVe5LJIQo8Gz/TDJJPPjfVHfukuaBmORB0KDyfwH LFodrijQYIFfl4k3+Xw5ndHX36vSQCPS6GCBEAvf9rRKGFxCAw/L9jY3cn0s BaUKFq+gwRJDcUVvcv0WR35vPbSaBudqddd0kN4f1Qyiha6nQWBUou3rIQIH G9E303aSfW0GI/HUHwLb/OLbG+ylQQiRrnKklsBabheunjKnwc87S0+9LSPw t7vDec12NOhZy9l6LYvAYby0P1JONFCxhaVzLwjs8MqZYuxGg9yPHxLq4ggs UPUbcrxpILMkQeWDP4Gvd+fGeV+hQZj1Js9bngQWFHhMXXuTBhn7lVVjnQgs vuxAwZtQGpw2bBtK2kbgh5vXLDobRYMOXwfTKD0Cc60k/XSf0CBezf5KvTKB F/l/3/4ynQYP17IL1k4zcfLjl0mu78jrU4c41u1MrJ0ZJKiVSyP75iOpxeVM rP9nZ3FSMQ0o3d+1QuOZeNe6T8bxHTRYurSK34KYuOy/2Je2/TQIBZtnvouY eJ/TJbbSKA1qNOhSp4SY2DrUoPIRhQ5CHz667qlkYLfBDPNQss+Pt1q2a6EV Az948sT6pikdMjU1v9/bRccy2Vc+bjtAh0XdfZTSRXQcVXFYkWFLh3OxB0yP C9Bx4pz87yuudNhUZLK04jUNv98fcuTCTTo4Btz450Keh43CN4675dLhY5yO jug7CrZVOVKs9ZkOHTYaHPotCm7X36TVW0wH2cNdr05ZUfCA41z/sTo61CfJ X347I4Ap+Nwpu1E6VEXAZTF9Abz47FFPM00GDL/Wd6rRneMvM2jeF7OCAR8u 5gVuL5vl6wlYLu9ZzYDMh6e9Rpxm+YaBOzsuk33G/bU2rayoGb5NgpZZijUD 6H+2iXhOTfHDqoeXU+8yYGzXtYSBB+N8xqrLnS9HGNBAcbJzfzfAbxt7aCH8 kQm2ifaKel+8UPymlWd+5TPh0kCZSefWBHQ4qOzuyyImhD9czV35PAPVqzEK 99UygbXD/GBNXR76vu/0uqgRJoRl1djudPuOcl8Z8ZZpEtBlIBNqsuQPeuhK 6TF+SAC3w9VLvvgvMsuKYipHE9B+qcUza9cQEmfoq44kEIAj1x8pLRxCd6Lc rB9mEDB564bs9i/D6HpxQ1lzKQHDAc+Gxd+PopNL3r4+SWfBfTmGcuyFSbSr /fjF+6dY8Pf3xJcW8nd720XV1C2eLBhPD1u4oGweGUo21o9fYkFSpfgOFVkB MNi6R/9gIAu0CgoetV4QAM2ny0dUn7HguJDJ7WPk76Cw46jTm0YWBJq+i9Im z0XWXOrDY60sCJAJ3eZeTAV6qOMX2R4WzBxPl1Mao8JswU/VSxNkXx77Wezr Nhr0qWU1bRMXhBuH3mCpVhqUtF00q90uCBWlv1Iz/9Hhm8/qa7eNBWGxmb/e QSUGFHAGX603F4R/aq8ohxEDcrbYLoyzFwSrpadOe19kQGqCYZHzRUFIMon+ r2OIAUnrZyblrwvCRPryt9aiTEiofq1edlsQ7B4Zr12iwYQo+qIbuuGCIDuj YJx3kAlBDgTMZAjC7Ppzp2tIT96e5bu9yBKEr8pyVV0VTPAL8Xx8GJPXfbae 3NVB7ntB93R+qSAUCwZ9nVlAgLd1/BKPakEYH92/apcKAR6jVpYaDYJwJ/vh 9g49AtzUSt4EdglCmuDapQxLAo7nXG/bOEjm49Qn7O9EwFGzDRJDY4KQach9 aOZJgM31tJPmNCGocIsrqwglvcc9FkMICUH7p7KAS09IT2YqlWWxhWDFQw1J j3QCjNuClyoqkvGB4Vr4RkDJ0rZqazUhUDFHV2wqCdh9Zs2lR5pC0OX2z6+x gYCi7Nvq9SuEoKiv+mV2GwE7qE0VMmuEQFjSKW+yj4AvO3W8928QgqFlh66E jZLeuXddNWyzEHy6eODNgxkCCmprSqp3CkH+LqrqX9KXhrylHhImQlDfan4v hfQlPnZJydRCCHJW6Td+FmEBevn9W7C1ELA20f9uFGNB7rja6XJ7ITi8yD9L ivTb+o2e8gucheAo9c6iPaTvsm8UFxi5k+Mn2nktcizQL1V0CzhHjl9kHf6D y4K3nNPSRReEoPv5R0910o+rrD9j1lUhYCTWpNWQceYTmePbbwoB86GURgcZ 6/aekPC7Q67nZl67KRmn6/JzCkKEYJVV77gC6U1tb/GjtEdCcGp8ynU76c3U PMeFhnHk8+qVWZWT+SwVzHrv+0wIHHV6St+Q+SabiNjzXwhBBKuiZpp8Ho3w w8L/XgtB5E/KrWjS04nNGZnrs4XARFNgNJbFgkXqTJsLWAhuN3hupNJIf7od ILK/CIH3+9LwT7MEqLxNTZ8sEQLrg5dWtowREDs3f2BNlRAcsRFCdgMEKG3d R/OoE4KCg0O9qIM8J6qnzEfahWDQrrKXW01ApPyeeZ0+IRDvCH8mT3pT9khs 0slhIRj+3tTjzSdAanjbTP8/IZAisndYJxEQsjYyQYshDG6t72jNjwiQuNK/ 54SwMCTtYfrn3yGAzQ6J7ZIWhro7ezVenya9ur9zp7qiMMSmxE7mHiFANMZg xFFNGDSuF1O1zQgQ0v6ztXWFMHwZdLu6ZiUBNCPt3l87heFByPQROunLqw+u hHBNhKE6kGux+icTBBqqNxy0EIbGuyoG5XlMmHW+EFxrLwyeFb0L9R8yYdz/ 26qqC8KQWHvl5pgBE86WyzeLXRWGtwpqhW4qTBiRcr9pclMYjMWWvd4nyIS/ TyUbSkOEQYB/UffIDwb05Nv7fnshDGYnNxWkHGWA0r3a43cyhUE4QLJeZjvp Uxtjc7MPwvAa/Fc2LWZA7uRazd/fhCEl0zf9XBsd7i8Tq55oFYZDu2SWj+6n w7qHfHV1ORGYKRt3W6JMg5MOq8T7eSKwqvCQZdQEFRJ1UmYz1EXA474j9iql Arsk7PvGVSJwa4nsRq/zZN8s4HbBwkQEElQbYl4WUCDwOLf8hp8IxPx4sG7V VgHIW3M/a3eQCGyvCsCj4gIwTmcliIWIwMDAB5UTeB7Zxox4Po4Tgegjke+v Dv9DetVFKm9yRGDnw3qbg7vn0K8NXh5twyLg9lNM+mHlFNIW+6mw+bAo5O5z PZ22dxh1BHVcDXUUhePjf2571A+hx0ITnZ0nRGHfw3fd+Q5DSIQukxHoKQom pa77Zs7/RT3jB7b9vCcKB9d9u+aq24+eNv5ycy4QhQkHr//sH7QjblI7/+6S BbCi/D8VlbKvqFptXK1l+QLIGbhAbG7MRwFxzNt6qxdA7H+ZqW+r+Gg6Ut2s znAB1G1I5+YS6ag2yLlLxXoBXN10vXuf+kv+gzP97Ld3FkCIfl7D6uQqvhAa s2scWQDy2z2LDlp18z03abDeTi+A1YY1u8zte/gdmw+m3aUshNf1fhNezr38 Tzvypg0XLoRIq29rVc/1871Ngx4811wI9696iN7Ef/m9jos+e9gthOUHA8NU Mkb5Vk6WJ0ycFgIUdfDvLhvjfzseIKbpvhDq791nmSaN8RPchw798iGvO8zX fnk0zrf2+ji+OXwhZD6Tiia8J/klgeYaYuXkde3bjEfsWb7B3ZtlPT8WQu/f zWrhl2f5Sfc+nC1oXAjBta/CXvbP8q+HKeed71kIHSmtcUpf5/iKFeNag1Q2 HPDQ9X3iNs//Wffps7kiG3IOrHZ4vo2CRQ82hn9SZkNI1ly1jgcFb2kcO7F8 ERtmz4b7LHtKwRlNGuKCWmx4zU4x8qRQ8Z3WOzY5a9ngInLRVfc1FW/vt5pQ MWeDt5F/veg0DUdzrlVdtmSD1zNXq1NKdDy6LuVl40E21Kqp6elvoePY2zPH wuzZwIlXK+0NoONp9ahawZNs+Ollf7xMgoFN9hZkHj3DhmWH2WiFHgMnevQF 53uwIS2bZtG/j4H3fV6/8+JFNlSWPthy7h4Dp9r/yvp7mw3W+y5diKUzMfU2 I2zPHTa03HNek6fExJavlp1OvscGLfcr86sMmJghcEnTIZwN2paOGTKuZH+q nsjMe8SG4cAd3Bs3mDjDuKxFIYYNdzP8gg0fM7HNY8VHNU/Z4KtiGPaiiIkz C7ad13vOhtbQn4kHfjOxUJ/bvnupbDA0GuXvG2PidwZ84d2v2eBeQl23XIHA 7NrDPrmYDZb61M6zDgQ+Ou9vKV/ABg/qkXVXzhI4Z3G6nudXNoyKc61rrhHY +ZxAv04ZG/yqv0gcjiUwjtIovPOdDaYuJq/vkl6QKjB52lvNhm5p+xUs0puf xOMOPW0g12fj06ayCgLLGBSupTazgZbuYs1tIP1pNyR5uIXcDxrTLL2NwAU3 ZYc/tLMhfUNd8O1+AsunbyqT6WbDtiPGTcljBD5d45x8ro/cD89SQmyO9Mu/ e36Vg2yYvppbm0NjYcXF2fbLR9hg4neLmybIwmf3tGwMHGeDp39YdNsCFi46 KyTfPcUGkYA9mrakx3hRuhNb59iQHCoVwCO95pFvVRUvIAYDKQcCF5GeLO25 +nKeJgYbXb9OuZHeUxNPCbAmxODs5YB3s6QHvddWHcsSEgNX7fLqMtKLFbYz m6UWiAGhLe3YTsaLb6ryzoiJgYpu1wUgY5+Xu2fLOWIQNfBF6zc5X+XPM7Va MmJgJq0fUEDeT+Pfo8xb8mKw2BYn95P5XF5UENyhKAZDPm3RBzks/NOoz2Wz ihiEKC+5sIDNwlpnOTtjF4lBP0ViH5P089VH6xfNaYhB0/fFBptJP9Z+cqBY aYkB2tq9+fM/Av/dVC93cbkYrGyzc15A+pHI26sXqysGpxZ56Lz5S2BF+Lwn f5UYfLN90J7VReDVfINjHfpisCz5ezn3N4GNN6b7Cq4Xg3DJnQZNPwns+HFR pBYSA4F3Yu7/Sggc8oFdenor+Xy944et3xE41cCvI3SHGGQnbk6PTCFwftbM /PvdYpDWuWlEP4bAw+86dOf/E4OOXa+9wq6TflxjbaRiLgZyoRb/WXgQmPf2 u+NWSzGYzBTecv4Ygfdm5oQH2IhBVmT34K/tZL2u1M1IsxOD+sH8p2prCHwp 41nxdwcxKCtT2VW2iLx/+v1/0ifEoGRA7bgRhcBCL5wcEs6LgbuUwQHqKyZW 0Wq6+NVbDGpl9X+4PWLitSn7HvZcFAPVFRr7Dcn3zen5xqIV18UgSWKHF28/ E395ylnxMVgMfOYOPywaYeAmtds7fz8Qg+r4yqW+dQw89mTenvZQDE5af6HH 5zKwWnxP6M7HYsBJNXRe5s/AV6PxzI/nYuAgLwTnxRh440OXrwOfyP2xi+Jd E6ZjC6mW32JfxODiiI7MgS4adg3dP61XKAayDp5XkgpoOOqB4bIL5WR+yZ+P vrtAw9N3ZR4QjWIwZqyS+rKVit/cLLDhjYnB9IjYqe5HFJy0q1jGf5Kszx2r bRe7UnCkSGVl/4wYjKom19VuoGDf4OZtH6jiwHrbpJ/wSwAbhU9rW7DFweEy f/uclABuebZiPmCpOHS0WG7TbJvlL/gaFTNhJw7qgd2C/6WM8Sm3nhywcSTj W4c2u+mM8Ud3JUt8dhKH0Gcugy1vR/l1Ze/877uLwxki+twf/gg/4Wel+7KL 4mCtffRQdNEQ36CDBUfCxeG4FyNCJaiXf5Rx7ndZmTh4JK/RVKv8wZdTKqyZ +S4O6/XmUqh1VfwyfYVyjR/icPtkvt3+5u/81S6fP15tEIeTKhSTVT+K+cwq yUeru8ShAH6vWjz6jv809q15NEUCJpWinzQX5KO2dZNFrnoS0J+t9/C/520o 3NzoU+QaCXiffE9cJ64dGbnHZn01kICaS6ou3uEdKDN+R5LyJglY6fbVasWN LnRdMOLGjz0SIBu7LvCkRR9Sq1kLG45JwPeIsKyN3UPoyOkLb0QiJcBMftil nzKFVus2vVnyWAL2o3ZbaZcpJDQMb7fFSkB7ze7Ohz+mUPop5jvfRAmQ/DD9 717iNJo9ee/9aIYEFETfj1eCWRTm/uxDY7EEhDRfFt69dx45LxfKmSqTgJ4V Xq+iX8yj9YMuOVKVEuDb/jDsLkMAWt10P5rUSsDwZ3pmmZ0ArHD7mFvQJgE2 7JMK6pIUKHSpykudI//f2KRrw1EqRGmt/lQowIEfxx2LNt+hwsm+8E8dNA4Y qz5+W/qGClIuNvk8IQ7k7R+cdqbRwP5Ed0GIFAdqDj1xSw6nwaqlRp9fyXLA ryui6m0ODVi9aZ/LuBw4KBHZhn7T4OXxs19Yqhy4cNXaumARnexv57/6LOeQ HnNr8kmmQ/kS+28RuhwocV/dbFZEh/jugm9vV3EgIMp0eXw3HXY63y78u44D 4qqi4hFkfxrmJFnssIMDTq37g1oiGOCs4Vl8ZTcHbhu01hq/YcD6rvriaGMO uH4LeKRZwYCWY7EltWYcuPtkU88yOhOWH1taZmTHgUpOlPN/jkxoclZyf+HA gWDsacy+xIRAFwn2AicOeP0calUMY0L3qZn/yt044JLcVaxewITws4PDy09z QE/h3xlePRO2nW99EHyOA8eJu56Og0x44lP84z8fMp81VuxKaQJML/M9Mi5z 4Kx46etJTQIErr6WlrjGAbdmSozzBgIO+T86UH2LA+tiG89q2BIgcvvutF4Q B8zXh585d5KA7MBrj0KDOcCW39Qi5EuA9P0TvyweckBs6MYa0cekT0MOX3oX yYHo4DW6XskEnH24T0kmmgO2+ZTPS9+Rnorcjj3jOOBzaNBLLZ+A71Hr7OoS OKC4UrjBvowA35jlVIMkDtjL2J7uqCVAO171SWQKmd+fycK0FgIaE6S3zKRx YN7h94kPvQQEPBNuP5jBgSPtL8aESQ8bJM/fyHnDAVV90e2xpIe7UkcWK2Rx YAHHb48nlQVhLzu/XszhwOjy2PEHpP+2ZjQ4NfE5kGTYunyE9OFoZrkgyufA OLWmI1ScBfHv8pNjvnAgVZ0m6CPFApPsd7sFijgQdWzw2lNZFsznpPTZlnIg 1Et1qzjp3zR+TFBeBQeOctQNPpF+tf70QFulmgPNA1dM3vz/e+pn//KrNRwo 438410vGWV8vnGyt5wBjo/VDBzJ2KnIX29LEARNebzyPHC9VeiQj4Q8HfBX+ 3lAi/VtQvn8fo52cv294mR3p3zOVu0cdu8j5Nl+42c5hgcoPFPqllwPx9X9v pbJZUFGzcrX6IAfyW4uPvBVmwaV69Rr/YQ6oLTpzjMZkwbJf8p5dY2Q9bwzp eDBPrm/zQtmdUxz4U9qo6zRJwO0WWvbzWQ50nJl+7PuXAP32CSshAUk4VR7p 9auTgM7O3pnjNEmouHxC+nITAWE9zVHFTEmwUpMrdCT9u6W/aoOWkCTYW5v9 vldIQNzwh8v9bElYRlfx+/CKAJOxlzxjjiTcz2C/z0og4N/Ek7w0aUnApzaF /Qsj4OBcAO2koiSkxihFH/IiPSvgm1ChLAnsPRonPJ0JeE89u1VnEXm/Fc5a DZYESLKs/YeXSoLswMPX3qsIKBfXEj63lszP/avxqg4m2Te5dj9aLwlmndcs ZSqZkPY17esnJAnTzozcwx+ZcMdH5zp7myScffPnj8J9Jhh1rJ5LMZUE9aNf zhzTY0IOeDZUmktC05rThhflmaD1KCtrylISNGwmJmYoTBA2We+x/bAkCPZ6 H1pdyoCirE2DLSckQUVDuiPDmgEGnGulgu6SoKRsuUYVMSDZrSBlxWlJcCkb v05VZsAt1e1OlzwlIXxk5IpYKx12BBn9kb0hCb7qPjM3benw2XZ/lUm0JHxx y/z7eBMN9D6EvzofJwnevcNnHeVpkCBZfzc6QRLEx63skkepcL3I2qgvWRLy KX870p9SwVDP/rP/O0lgiWhUlVP+/x3I9V1uhSR8fxUbY/xEAD6kXX2kRZOC 86KaJ9apzyCmkbncQ6YUZAY3KTS/mUb/datHUISkYMHsXc3UzdOoU7U07Cdb Cown9p+osJ5CEhHS930VpYC4Gbg95cYEOnEt9Wb1Wim42up+ZjpzBMlb/jzn c1IKTOyq2iR2daILFE2Tkl9S0Fivk/x53Q9+xxbh2sV/pIDb2TCVb1LDN7nZ d/hKmxT43pDuFHWs46stfOm+ulcKeE6Hrm4O+MUv4erdjZ2UgumIx+x1HS18 Rf2NZWclpME64MsHjhDpTzdTI4Wd0hBieLWx0XSMr5Wxsvq8kTRIbNqe1VQ0 xg8b41hX7pUGd9PZyTWG4/wTPjUn/C2kIeDqbPYf7Qk+57Z1wNARaQh7u7Y6 bX6Sf/Tp0aLPl6SBqTCpru8zyxdq9N7hlikNEblSc4MOFLz6/HPRu++kIfPH G0PRYAq2E6+tfJktDTnac4cysyn4/Y5Vh4awNFw5s8z00QIqPvpm8NTZUmnQ bBF/8yKdiu+bKK4JrZAGqzS559M1VPyx12j2TZU0uDrxO779o2KOSrLfRJ00 2GdvU2nfRcN5dxweeXdIQ9XHe+oCv2i4b8kD20fd0vBH8o3uOgE6lvmctyin TxqOByV+HFShY7cZxfS5YWlY89YpM+8oHXOd6gp856Uhfiy9abCTjj03GQ/4 yciAkJ2XSk45Ayc0+rx+Ji8DOxTjhZb0MHD5+RTPb4oyIFv/ypdK+nFxGosm tEgGFM0rbk+uYuIquXzpIB0ZOB20cGvzfSb+92ao8YWeDGxc41kUncTEmv/x 4svWyMDx0MSyzx+Z2Nf/ohZ7owycpcns2dHBxNqjazY92CUD+kZr/hNbQWCr u0eZmXtkoFPE/9c/IPANzdDiahMZyCl7PbT3PwI32g6bS+2XgTMbhbvkThKY NcuTX2MlA0av5sRCLhF45cO9v/cfkoGk6q0G7oEEvl2aejziiAyEVO5S3ZVI 4LdODcuzj8rA0OU83Z0ZBP5DExqrdybzu0ZpSvpIYJEY/ewZFzL+cqzE6RuB 9Q2OXeaelIE7m/8k3awk8JEfoVs2nJEBtciW1axGAt85WSBo4yEDCZd0t3SS fswWHim75CUDmfmx0YtIP7YnKofE+MjAyLo5ifxRAvdd/zNF8yXXy+6QzN5Z 0h/2cYedrskAO6/cWYH04xTYfS7xkwFsYfptGelHASXlpTq3ZUCA1zpymfQj c+53cGiQDBxqWfxGgvSjaEPs+FQwOV6ubKxLioU5WbbWNiEy8DHI5dm8LAvL PeR9+vRQBgTpYR/2k95TPvdbXf2RDERsblIdIv2osS82KCBaBiQk6r4Xkz7U 1rEdGYyTAYW1cu86yXjVQt4Bs6cyYOWz6vMWMl7f35z7PkkGVNP7hlrI+QyL Y9QUUmXgZKDMvk+kH3c+P3z7yksZiPoMzFbSjyb+Sn/bM2RgfxBLYyvpx/2O zea73pL1JSnxo2shC9tsjvmQliUD8ndpmmVCLOygfFhZ4qMMXHzauXmMzsIn 5hX9z2MZ6H0ivteG9OPpX019DfkycMB1WYDgBIE9P0SbwldyfWcU104MEPhy hM37hCIZaNpZFqHeQWC/84qKgmXk/f5TGYgk9yvIvOma63cZ4GyWOv8fuZ8h K6O7v1eT9Vf0zHf3VwLHDSq8iWwg1+c/+TjhlwROKv0lN98kA8WR2Vcq4wic lvLY90gLWV+uX840PSBwzjEFI61uGZjse7f46znSl1t/vQruk4G4Fk5NgiOB i1QfS48NyoDT+INzhWYErmnmtn4cJ+PYc9HdZL03fWzcoTJNzlcUtrZDgcBt j6LS/OZkoGWTa9dSIbI+9nO999JlwS7UXir0NxNPrWpsfk3IwhvOv96sIiYW 4ERtlRGWBYM1B7w1M5lYtEJe7I+YLOxrsD05dJ2JNXbIJ51WkoUMi995SxWZ ePniBtEaFVk4r3ux+xOViVfTH51Zt1gWpkcDOlM6GHgzlkP0ZbIgdefnkEcq A9voy/0MNZAFIejfK7yCgUM0ZOlZ5rLgdlr8kJAMHVvbLH7WaikLu98H788Z pWG1kJW7FljLwo+jh3LbKmg4c35P8BF7WVjt8LYkyp+Gq39e5S5wlwV6wrry zwNULHGjT+/ITVmwL1lGbU+g4PrsqZqgAFkoSN8W4+VFwfF/mRfe35GF9+hE TugeCta1Vs4TDZUF7fXXLZxHBbDpSos97+NkYantB43Y9QL4/h++o+gHWci8 axP19eQc30q6lKWfKwvHHDochUXm+Cp76lPs88jxppvq/RJn+RnvR4fefZWF Mtq77uV1M/zKu0su2VfLgj7zgmnEqmm+2MYHYe/6ZeG0lf6HraXj/ODIo1/t eHLgJ396sEl2kH/e4+oZH1U5eOo65e6gPcC3MY1WerhYDirpdSPKhv18LaGf 50u05OB1X0r2oWO9/EKvrRpr1spBuFD/mhvPO/nUA2q3REzlwCg1li8g/pt/ Trpl17trcqAcrnJnZvYB33pkbvy7nxwIHEgodpD3Q1vKZZ/03ZIDqR+PvIRF niJx//9mlIPlwKPXWH6lUDZKG8cpgVFycE/8dr3b9RLU9SNGxP6NHGQ8styc kPoLWYUcKhPplIPfz3qjPXr6Efe1kPyJHjkwCddcpNMzgJq/vztW2C8HuVy/ qOmuQeSwUJziNyoHK5dIXCwd+ovcbn9ZOU+RB3XhO6XyHcPoqu/yiCGuPBi9 zDXUyBhHW2Ia2/fy5GGhQdLb1xoTiMi9pZumKg/C7L27b0dPoMCZ1uLjmvJg luqdKnRzEoV5hP9rXSMPQkZJ6RP/TaPnLhSHn6bycF1X1/5S7hxyCUhL17OQ h5qV5jIKGv+QdvLBufsH5CGhQzqmIvgfyuh8E7bXVh6mC21SnA/Poxz744Xf XOVh3et7Rn6eAlBhWaX94aY8xFB8brweosD9874XZAPlIfmcq+JpRSqYhy37 dv4uma9N9qUnu6hQX+VvpxcmD1HNLYsPxFGhzXh9yIsn8jB8is/p2U6DyS1P p2Jy5YETEPEkwJMOPh9irhXkycPgUdfv1yPoIKAbKdpdIE+6N543nEUHQumu sm6xPIQFyp5dNEUHqSnPnQU18rD4RdaympMMiHQ/U9VVLw8letvCDgQxQKHD 9ZBokzw4Nq3J3fmcAWpV9qcs2uSBu9DG+WQzA1a+MIro+isP+5dunPy0hQlv Vberio7KQzzhox5jzQSDyE0vdCbkYc5x0qT1DBMM/Vfnec/Jg8ucqnZcLBO+ zK3YHSPABWuL7w2yb5mw8+zSH/k0LuSPGR2cLGKSfRqvW0SICxJ5PV/ahplQ XSN3RkeUC5cKk9OGGARYGkvOmbO54PL97GF7GQIOrxMSi5HiQmm4vYTrOgLc JEf1dVS5cPRP8h1Z7/9/Bx/4ZL6YC76e8HH1TQLOUbuNvJdwQfFHDTszlACf wV+2+cu5YELdQy1LI316tLanU5cLdx2KRY9nE3C9sfKsyGoupL4MlHX8TPqv 8OtN8/VcqFeVFT1fR8AC+CTujbgQ1nTdPoj04v23OVHRhly48/TsAwrpRall 7xbnb+XCvbz3FlXDBEQ+eZXeuYML5y8oH6FOE6Aol2ogYsSFxcoaJ+8IsCAu OLFgxV4uXC4p33Oe9JIaEWdsbsqFKPldvTmkp5IuPqr1MufCCv/itYdJb2mN htpHW3Jh0P+mpg3psfTjwX2fDnIhMOxNWpY0C/T+3PbotOFCzlL/d6fkWPBu /w0BEXsu6GKd1X6kHw3KLt9e4ciF+JJu+QnSf7lbvDnmTlzIK2w9UED60PDD 2WivE1wwXGH2p5+Mv+i4a0S7caHW0/3JGTLeleSc8ekUF/S5x++Zk+NLFR3W d57lgtQDz6gHpB9NQm2+CHtyocymOmcZ6ddq4QMmKy6Q65WqL6ZG+tby6r56 s0tcOMC69tmD9G/j5B4HrytcOFv3gLF4AQts3XcMPL7OhR3+u+d0BFnQ2m7o +cmfC6u9btdG0sj8YsriNQO4cFw79kDVLAGxllal9+9wSQeWhRmNETAv1jEx fY8LcYdmvzL7CbApPqVyJJQLDuoLFlHbCPh4fc6oOJwLbsPd7RvrCeBuvHV+ ZRQXEo6eM/xYTkB9emwJ7QkX/vj4Zl1+T8Da41oTJxK54NF0JaAghYBw1ffK 1c+50Fa7/LhRNAEWYeUeCelcWOnQuU/9CgFv9h6ME8nkAqtB3v7CKQI4gp3F Z9+R+/nW9BrHjoDKC/94W3O50H1MgSGzkQCdVbd3v8jjwn3VRqdrSwkIHpD0 kPzMhZaFI+2ryHo3tltW3F7MhZBBQb3Tg0wo2mZ9zq+OC4+1/K5YhTJhiUBX zEAjF/ZZt1uzLzLhZtaZIovfXHDc/rpD3IEJ27QClNQ7uaRTmzUoK5jwSSy7 8OsoFyqrTWzC+QxQLt46unySC1b2bs8K4xjge/27YvgMFwyyFnKNrzFg40TX GSeqAhha7C0228KA7EZpRUG2AujX/ZE9n0uHjGfnTu9aqgDDO2Mv/XtAAzE7 yuMMbQVQkY1Wbz1Bg5NyQV/ldBWAU+5SobWZBtpBCdxefQUYGl53aXSQCsmn q74EbFMAT736Km9DKsRv0JEvtVMA2k3rgHslAvDJWOjajIMCRFkejU2LFoCW w609S5wU4PW/chXLkwKgejU028+NHG9aGmYuLgAJX6YOwAUFSAk9E7E+/h96 uvdT+OsQBfATnTPjeMygJLt9UpFfFcC68J6JfcgoenHjnNixZYqQ4HPFV9v2 B+pbf+jqjRWKcOyLfvmoexXSGt0y8mSlIvDYYLj28neUbM/58XutIljt7Wv+ rV+MktDrcKttiqD6RCJE2OgdSpj6q2R8WBGurU2pKfTP50e6umivuqcIa60D Kcf2tfHr1cxi9oUoAtu15Jvw9na+bOM69umHirClvv2YikEHP3yX8HDaY0Xw qph+H6DYxQ9VT36jkawI6v8RHlHNvfzgP53rufmKoBYuvSQqeojvb35kN21M EZRN3XP+Pp7kx+9ttHacVIS/d1JO/hWb4ufsNHf7OqMIOyI+iC69McUf3rD9 XgBVCUSuqyUbOk/zrRcvrZFgK0G9L7crTH2WrzsxbK+2VAkemjWGNXjN8/cM nTjrp60Eli6GAX3N83yn3rYbXTpK8Km648oVFQH8uPlnUqq+ErTo5HbL+glg 1rfsAb1tSrBtUklq8XYKbgq/6r3VTglaVc8+PvySiqfuzwQ8c1CC4quzjc11 pDeDzj4WdFKCa0/15otpNLzzylFc6qYEz9YHv24xJ/s5511MCx8lWNc0ado+ TMPlR/Kl319Wgl/+NKVYsh/sObR+idw1JbjyRMM+ZwMdK5lqGzXdUgKVca64 pB8d3zYQv3/0oRIkXBh8tXQhAz/VC3jyLVIJLORp4j+XMzDWpr/RjFaC2e+j U3V7GXhMZbxmIEEJpo18zvcEMbCtcL3C+Qzy+sThfHGyf/Vm7Fte90YJDpQm zboqMHHofDGsy1ICl92t3XL6TFw08vHIPF8JvumK6Bw9wcSrGuOe+5cqQR/f sfJlIROztZ0mX1YoQWSJyw9OExP3XdbeXlulBFoW4sa/hpg4QfVDm0a9EhhW r4kOkyaw77krK//7pQQDhu/O+i0hsPXX7Ve9fpPrp1KdW2NAYM6JaqWiDiU4 rtmeEnWQwH9zIsmjTQnMSmr3LDxB4JIFdh/l+pUgr8rJ7o8Xga9n9FudGFGC 08ShhrhQAtvSM58/GFcCuuXSzXfjCbzewnvyw5QSfEmW21mfRuBpH9pupgAP jhrwnG9+JnDX06OnIyk8EPgepdxbTuCfZYUR2jQe7FlGz0yuI3DBhFbeJzoP tHxuDX5pIXAGL7jLgsmDSz2Hn6BeAsfuHFnYS/BA5Wl2NGeE9OxpizWXBXkw WVuSvnWawD6PsmwkhHnQnFGYVCnAwscLuH7PRHiQdbjN/AOThS37L79Yt4AH DiIm/vPCLLxNqrW6fCEP8tqRSAybhfXQttkjYjx4KdP5OoL0n4rTc9VJcR6w Kz33DJI+ZN8T2R3I4cGnjRpJMaQf/2W5n+ZJ8SAhQONBMunLvpbKiExpHsT5 5P5aSPqzTnh13g5ZHkxH57qUk/EXvYiuRjkeqDpwDnSTceah2YWnuDwoeWab f4iM4/0Or2Eo8iB+65YSLdK7wS8/2UQo8cBC1jbEQp6FL9Uu8lumzIPIf2br G2RY2IVy60WeCg+43/PbsiVZ2Eqzr9pcjQd3XPakjYmx8I59e2e7F/EgOvV+ VoAoC6/2yVC9pM6DeRc99YssFlZ7KrlbfAkPbG5VSRdRWVi8zPN0oiYPXH6x U0+T3heYaIgw0OJBw5Yg+vkxAg8oobyyZTywetS9qaafwI074rvsl/MgPOfL 9QftBH4f6bQmQJcHnDK/x7wqAifmF9so6fHg1bmUzKFvpF/7tP1er+KB2cTQ AaVcAp/cOFbdoM8D15qownuJBLY5ZjnrbsAD3wcp52oiCGwU/EGVvp4HJ3s5 By8EElij5cppLUTGySGhze4ElhJuj8DAg+0vvUpibQlM19uRZ2bIgxsBFgKf TAj8+8YC9sWtPMCMUJXFywkcvuTRi9LdPKDEn0q+0sbEoyPbnl7bQ95/qPnk wzIm3ps7HLV2Lw/6c8Yujb1jYua+XYFPTXkQk7LsTeBNJj7nM3X84gEepPxb eGWDMhNXbHtqv/IgD+4bm+9MZjCxlth/Vt3WPKhnPJxx7GbgtqdJO81teWC5 69/v0jQGNi3fr7HsGA+u3GyheeswcFoEjdfqxAP1U/dOerIZWNDhpXTEcR4E CMjtKR2gYzzJJBhuPKjLSJS59JyOl6u8bW88S74/Aqe0ZaXpWOQc50ngVR58 k7P6treaip0QjjS8zoP1+nbZ6DkV5wu63J+8QebPm7sdcZGKvaPzrzjc4sGC gMm+u2pU3P31tO36YHL/h5vfpZ6g4C9y3xX6HvPgs3H06Wn+PP8yDgrfnUU+ z5uUvjO1k/yeXzhkKpsHsXNGmR0Ok3yLmZHgZzk8OL7z7vmovxN8rdVWt2iY fH8uTBU3MSb4tSmLvT98IffH7H6qksYYX/ch/+DSah6MqtGNsfEQv8N1SFF4 kNwvivFmg0st/D3y5k+L1JThtGDb+KK6Xyi8TRsfXKwMtWsT/aS+NaO2F6yG PnVl+Et/ZyXT8Bv5QA574VJlGD2yTqrmawtKdVT12aejDIHbnzzQedSBhNKH TBs3KINeICf3leoA+rrljsCAhTLIPTYJa90+jsQXOMlftlSG43sPuBW8HUc2 NZtWs62U4c5NaarIogk07jx2QveQMjzu9G7Ln59Ai+9a13gcUYaSbzt3+72Y QtfrNNPm3ZVhxw+zRzWds6ginl4YfEoZkh7fiyjfPYe4Lk2tymeUwX2AmKK8 nEOv/92T3eKhDIV5Ez7CZ/6hFtWp6zd9lCHKxpDqPDSPNrl9PSh2SxmCnVtP 37anwHRt97aC28rwv4brPJ6q7QsAONe99+DdSiVFGc7ZXirqpZ4xw0KiW4/S KGX6VQgNKBXSK7yXkBIvMhS3iErmoeEcQqFuESXzFIkyc5H89p/7cz5773XW Xvuc9VV7WBXveF0ccs14G3zDSIgZbDmTQYvDSvmdki3XSCj+aHQ2VoEFvLLG 3LQYElr12vc/rmRBxbrZJLtbJCTHkAXiYywIjFW+Oj+OhIu+pgEvFCVg5Phh J58EEkzG+L4nTkhAg/yPeSAgoVAxMiH8NzbcCJKZGrlHwr72njxpTTZsG9zQ fS8VP7/smdy7hw0vynyLf8sgwfP2hnXPEtggOCHu8ikLx3d4DDJ/54B9I7IJ zSFhsnNXlvQWDiw132JomEdC3r6C3c+PcCBU4erilEISaru0A1VTOHCyXJY5 TpNQztR4ti/hwpr1OhlkCQm6a6X/bsL9Z1ecbUxdKQkB8+8cXLmNC3tPJnro V5CQtXFfWSruX2WamH3fX5FwDdRKmnF/W2neZXqnkgRZXtFR+0dcMFi+Sp77 loQM/g4V80YuTATz2UVCEtxHPX6k4f44c8hj0P09CRsrzn3eyyaAqsgqr/lA guueG+cjcH/dvL7uSVA9CUEWed/kcP8dfXvits4nEiTfTfT3WBMgeWqTV0Ij CUIptpwd7t9Lmw4d2tFMAupInZ69SIDflouWEq0k5FRoze+5RsCP5eVKbh0k eFO0WxD2QVpIr9SKLlyPLuWEPvaD07DUuLCbBIOhXYEbywioq7Cq/vMrCaru yqlD2JMRmqfye/tImFV3eZTTRYBFfNTduH4STIXb9YoGsE+J/LC/vpNgW1Q/ LoZ9U3yqwVdskIT03UREKPaPd/O0c84Qrjei9+Ee7CMNC0WroyMknBX5zzph P/VkGevJj5FwdLOdZSb2VdIKZ9U34yTo77IJMlyMPbhRfZ3zJL5//f7va7DP 6raO6YhEJCRefRRIY78dd3xuEjFNAj9hwz9c7EdJ35Btqj9JYIUdaL6P/Zcc br2neJaET6XePnewDw0Eyxx2zJFQ//DN5lE8/ljc4dojRoF0Xo5pEh6frEn3 8mdRcGmL7/8EeL70V2//RWwKrN4ciWfh9QW/DELSOBSc8b7ZXYT3N1rCjTQi KND6u8WqCsfXoP4utk6SAjf/5ew/cfxeprdSjklT8OCvl2sn8fvxbJ0eifEo uNqydXyxtCTcP7GmIGYeBcmyqkGhbEmAkFFGYwEFwU0VEna/sPfin1WVylBQ qZCaEDxJgE9OcN3+RRSwn+r5SQ9h71dZtf5YTEGVYLS8rxefb/vSr0FLKHjC bE1FbQSYTrYPKyyl4ODkE8vCelxf89JnniyjQHAhuTm1moCFmwwWtCyn4ID+ M53YPAIe7uTIeytSEGsxVnj7AQFbXIWUlDIFXM6DW9PxBJyPdtTWoiiYMknr FWJPyj5cDdWIgp1xrIXm3gQ8Lh3Z6vQ7Bad3T/HkDxPQORh0KHwVBc+Tmoaa zAjw51q5oDUUWM9di6reQICc4tJTReoUGEgU3FQgCeDzHwR9WUeBjq5mf8MM F7IFbzMMtSj4pfPqZs8DLmx/GpP3QZsCuZ7xN+1RXOipcaDddClQSPNoNsL3 U2FuuDZ6E16vZveLVVZcuGwrN/3dhIL0P6145V85oHSyTSLIjIKJsPPnBt9y oDAkbZ6COQWilb+jy9kcGMjRJ7dYUnDzrtiavnMc2D3fwTLRioLGsZ2iMnEO qL5MjbGyo+BdjOxynwkJEGqIBM0HKQg7YNhm+UECzsZY5hyzp8DxOF0TmykB 1W5970KccD14iJXkHJUALxl1KdqFAvmT8a87hSygDz32+8OHgs7VWusW/ysO B0S5jjLh+H00TGZe8meN2c6cE4kROP7tdt1h+Pv/uHpPgEYkzoe7aVb05Z/G 4kkTsZZRFFwJfKF3qgj70Vz3w8VYCiiX+IZbK6aNx288NR++R8HZjPwC3ssJ 48i1pWtqX1Cw6+XIUoHloHGarp3UJYYCo0y+Qr3lD2PabKxXs5QC1WvpUvKW 341/2K68d72cguJNA19EZv3G20JClXe+wfGcU0+f1Ow15rbZyL7/jPNjn2Ld 0dRi7BfZNft2jIIGQcy9DtnH9I3b/s0BExTwxo/ZKJwroNPvL3m6VkTBq5K3 arxemm54ZnE2fAbX50xndrvDa1q7L2NkOwsBbS8Ktf6vjh4y8emtXoDASSfz S+vdTvroKLumcg0Cy7NVty+4DtP26ZuFBzUQ5NtED+W1DNN7nYKqB9ciKFaW CfC2GaG3vJOoWKKJQMPL/oaP/ii9MoP11EkHwTPdz9267HH6i7PYvSkzBH91 nxpS9xfRzfKQHGaOICV89JftVxFd9z4wSdkCwbKPqoqtu6boMqO5WHM+AiPh Cf+WVdO0QOFXxPUdCLIaE6+7V83Qh2tnzq4+hGBRsWSnXd8v+uCVTWee2SNY mBA6eGfrHL0b/LytHRE0VJm+l3kwR29+PO15+n8IuIZVN3I2iDGqoVPOJW54 fbUi97o+MabLZHK77RkEbcWm69aZsphGkTZ/wBeB4qal2kvcWUxt5hmLwHMI vroG1l6IYjGlihMm9/wRrOIfuVDfyWKSp8a0hy8hiI4Uu+XlJ8E4Z42oXLmG QEU/mXUlis14XNr1k38dwT8OntFtBWzm9K7cT7woBHEBnttCmtjMv+OnIyJj EDQX0qtpFdxP6k3N/JeAwG30deTzZA5TKH3gk20SAsmxXC+fEg5T0lScvfwu gjv8siyvNg5TF+DvliRAQEyqOJvIc5mpkrmP9zPw+eokWvCCuAwryjHb9RHO P1/2Y2c8l+EdLglfk4mgS7VbayqXyyhxL29+nI1goP94amcnl1n1qUv5ZC6C i/PQ/lwRl9FM2zyjmY+g0G/FspfzCGYzn5udV4TAOq1GIlqLYKyWu4T7PkWQ cztEuNeSYPYNvHLVe47wf9u7x+YAwRyLuKL8nEEwPyrFYNKPYHwcvk1fKEUg Ct2un3iVYALWb/sIZQimHgRoBMQRTGQtL7zsFYJt2bfsOvIIJi7F0zWkEoFM xaJ3R0oJJsVHaGZZjaBxj5ZARUgwD83/UJZ+i+DbGcszC7E/8+Uip6uFCAKN brbrdBEM0ztUH/4egbDE8ULUAMFUFu7Msq7F8chNfEPYQ7VXssMW1iG4sCO+ 5Cv2UvOBxa4f6hFoHUpP7ZCQZHrUfcyiPyGYqHh4er60JDP4s05p32cEO5Q9 ZU8skGREb7WmlzUhyA3P95DA3mQlxdQ3NiOI0dvtUo29+dvJySfxrQgc+Au/ V2BvyprsD7NvRxDcW9gzjr2ptKjIRaUTgY+unOF+7Ee1Lnmzzi4ESYfHGr7j 8frc80qCLwi8o5RS8vFYP7hp6kgvAscBh6Bs7EuzvQb1an0I+gcOundgX25X S3jS9w1B636pS2byksxe0ezVjAGcT6PCsQbsS4dKexfPHwhszs/23cW+dI2j Tf8Ywvn45vFvIk+S8XJXURoexvV8LG5CiL3tb/D3VPYorq/P8nYbsceD53XW +Yzj+erubdUi7PdW0yfakwjEl/m8vjWEfZaZclUkwvdnfMmxuF6CSb7Idime RuCqaLuspoVgMnYeMfX/iSCt31zNEPsyl6pQNPqF9yvu/tb6imBejK6cmpvD 963bsCD/KcH8H+lexhE= "]]}, Annotation[#, "Charting`Private`Tag$7954#3"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwU23k4Vc8fB3DLtW93OcdFQqVIKktFyHxUSCFJKklFiUSWdkuFKNlSqNCX UpFSiSypO5aiZJcQUWTfsu9+5/eXZ54z5s7M+Zwzr/d9WGZ/xvIEDxcXlwo/ F9f/fyb42fOrH7+lP+yzZ3zgZePH4loF0/0KzmjcRaqYPzybs/j5Y4CCwiXE Ni7ePxJawknAYfJ8CjdRZVpNqtXNH5zTW865TsrfRy6qBly63l2c2lmnu8Py qcgwQTlQc9sk53yJnNrQm+fopzlP04aXUxyZO3VlA9teINsu06t25AzHXgV4 +06+QntGLwRyWuc4F1+I5I78yEDhhy9s6FHlxgI//ygNyOeitxc/yO9y5McN +MO5/u5cpFQ4WOTBL4CfP71X1PcmD70evHqlLVkAm3uaH+ndlo8Wdg9/d2wW xDFCeTFdJznoNZOYqt0ggjMv7PT0ksJI0OaswOQnERzfqyU96oPR6yiRnQL7 RLFbFfPkiGEB+nvH4eKn02KYGV/K8+9HISLCrP2jr0ngWfF3qe56RejO2Q1n r3LRcce1xxbDiUVIa+HoKRqi43cn/R4OORejUO7Ipcdz6NhGc4PO4OwndGRz J1sgnoG3PV322/XoZwQW1t9fVzOwqrTEjYHiz+h4sYoQPz8TLyz0fO8PK0Fv nSOfPj7FxElf//Pok/+CtDbYWW1bwcJj97JUWkO/oClTg32Oe1jY6GRZe830 F1T0RTHghy8L9/NO7sur/YrWiFQfv1vNwqhGVCIdytBGttBiwxQLRyUuL016 WYbsjQxVD8sRWHuLuc7N4G/o2aLOC8njBL4lcnzUZ+wbuv6+7o1hIIF/NV56 4X6sHCXf+sSf8ojA6ikRJ45XlKNHFUxZXQ6BA88/kTugW4Hk2wvs5xoJ/GP7 +x+7UipQnlLDrp4RAquwqiMRWYlmc2ROLAqR2Pd3p4mmfyXaZvy8SU+exFWv 5niUhiqRRnqDeKIGiZlIyE5sXRVa+5r3uNJ2EuuuuqsTfLwKPZC4qVe9l8TH xeTZ3HFVaKl5yUzcMRKHj6WOXq6uQi63otcHuZI45+eGqjGBavRzPxc94gKJ fxdyXrjpVyOtT1bjWVdILPx8583us9Vox99W7ZnrJN5w+/sJ+7Rq1PBlUPNQ CIntLh7d2vy7Gn3cIwYNoSQOPtInZy1Vg5iexIx7GIlfG52frTSvQXGh+xJW Uteb1nI3mFyvQRs7+70nbpCYlwzNLHpfg94XTXS1B5BYdU7y9paRGiR0KkJz 0IfE1u1JrtnKtagtZ2MGeZbEV76q7lQ/Uou0+xwYh5xJnPIme1VadC06sX55 OMeWxDX3tvKu/FaLgqbNPbebk3j2SnnrQ546xPlQKtC3hcSKJw/kS22uQ2rD rvcy15DY3Lz9XtSZOqRI2+T5iE3iCxvdzok+rUMPjidZvuMm8VfewHVcrO8o WipF5GAVgcd6xUUum3xH+ncyjvRnEnhpzf2u0Svf0ZlukbT0WAK7J75K7Or/ jkaXLC36sp/AD4J1fI+tqEeT8r+uKG8kcJHbp4M/D9YjhWWu0QV0Aktu+cms /FyPHpTvOP+qkIVB0XFox3w9CqzSeyt8n4WdRf6VFWr+QB3xpu9furJwfiP/ 9XeJP1CFad9QE4OF7c9rTCZcbkA3skfvbjdi4tDDH2rZbxrQDmXsskeCibO2 73h9u6sB+e/bdLO0noEFWXbO160a0RX/QrrwMQZOf3Xz5+l1Tag85y+/qwMd 9zJ7Q3cea0KlsWU6zYp0rHR+p77y3SbUdZHlJfdVAifqiSS1TzehtCXfm1KK xHHUl1BHm08/Uc/nt7l1D0Tx+faIf8a2LahwgO/Z4h8BnGE0/GhlRAu6+uJf 8+5tAngo1cKKt7AFLYh91mlI4sdO7ozsj0q/0ORfh5Gig3zYZj7KZ+PoL9Tx 9bbLqXc8+D+RsgCGYRvavMo35IPtDEd/i7ftVbs2pPmKzzF4eIrT7LZm49CF NvTeJlXR2X+SI1Vzq/Pb8zZ0adOzhfbEMc7te6YmN+i/0fWi4v77sQOcgJUV 4os/fyPNzPW2+++WcE6i6vv9nu3osET+Vu43Y4jr0UTez1vtqLv4l6n5kgl0 jybb/DW5HTmKV56dDZhEpV8c5VLr2xF9/kWBiMUMUraae3RCpwPNRUwFKlYt om4npRe/uP+iFZV3VvSo8sHVMtPycpm/KHx3YBhPJR9IrfMczNf8i4Ia5k2v neGHHaP5anEn/iKNFt+Yq2kCkOprmbX/y1/kcbDcZ5u4MJyK8v1YFdmJDLo9 xjXPiQPP+KNWTmonmufmSDlNicOD/aVcrwo70Z0Y+5v7LknAV1nWtrCxTpSi YlIho0OHNc9SSkwOdKF/0T+eBa1iQLFQRbe2RxcKzYzWu27HANvTo0LKIV3o BS5s1YtmQKi6vil/fheqcLv+vGSBAf3va6sK5bvRUf0Hz1oLmBAoN/3vjXY3 esPv0qE7xATZa3KspD3dSJ33QpHmEhaYGjnvuxLQjcjuO7t63FjQkRJ+3i2+ G/WPbKUlxbDARyQz9nBWN5ro11XuzmfBy6qFRt2ubhRff1hOmo8AI03FWRWu HnQq7vPD+VUE/Io2kZWR7kGe0dsGHI0JED90125qZw9i3Ka5fQwg4OmH3Ctd Dj2ojpMz9uw/AvQVWhPrfXpQ4iumhVgeAW5/V7dnpvegTn0bte29BLTZNQoW fOlB61R/zTdwk7C34ca68o4e9FxQ1zGeTcLnPdpWjYs9aLdMX1boGhK0y7ou /ZXpRfHzHLOULSSkbY/979/GXsTefSt8wIwEuY9Gn+YtelGuuF2zjS0JkVoT vUKne5GjxYPJQScSeN88oUsG96LFnz7cqV4knFfZt2n5o160KuGa/A0fErof 02zXfehFvlcUL9wKIOHQ0sxrOg29aPThUY2MGyRUxDg8MxrtRfemf7XO3iIB 6KxyS/E+9EzonIdTGAlvbxaO2K3uQ3uOq7RMhpKwitdTymV7Hyp9yC/9PISE ez7L9C8c6UPauZvkrgSRIDxR5RBwuQ8t85XaduEqCb5nrt6MiO5DVlGBO+5c JGG4e/2ruNd9yAWtHK91I8HevrXuWVkf4ilLltBxIKHuZ/jM284+9PZSwdHP +0gw3qevgLn70Qr6CN9lIxLyKgYMv8n2I85u0TDrjSSo7khwadDqR5nzybcO LyfhYYHp7Q7LfrSu1SI2UowEhu7cu2HXfkQP7zP6N0FAYGZa89yNfrTkW7/P tV8ETKw9xCOU3I+S2UcitxUT4PxMWJnk9KOSXfBncwoBzQp5Zsua+tGjbeG1 jiEEFLCk72+mDyADSY/DbiYEbAgr/Wi4ZgA1f3meaU7V01P+ix17jAZQtGb5 iDs3AaHT9etP+Qyg1IjXODiDBQueQfvOxw6g8PfrG/xvsMCjf6O3f8YAOjpc bltuywLr1rufH3QPoCN6D42OcrGg9MD2/qe8g6hvq8iF15VM0K0ZZbyVG0Tt jk13jiQwQeGT5eEyq0Fk/6txyYAmE3qf08dm8SD6UKK+w8ycev4UsbRg8yBa 0rDkrQyDAZUJZxAxOYj2aNfGudbQITOyIkR17RDyMoqHPAs6XDkfuuzw/SHk 7T1/ReWSOAgvC1Rq1R5GzNUsj90vhaBU7/Z6P8NhNJORorSTEIKgAw+1lloO owRpGcljlwSBJzLH+JDLMLLxfFpA1xeAmYX+kz8ShpFnb/CPsgwa9DXvS6nk +Yf+i7NRh9QF9O2e0mr87R96P8ozEfv6FwrJ3KB+pPEf0k++ZDD9lTpnqgw2 L/z9h/SE28/6tNegYgFbE71Fqv+BnasKt+aj/PORzjnqI2impL0pJ7aK89Jq OvV1zAh6ZqPnxSwd4oTTy1SSjo6i8+F8I9+W8eJcraVZ5m6jaMtM09pvDby4 w+4MmvMeRYWujvNC4TSs+5JltT92FN0/q1W5OMKHu01sfcUqRhFL47a83BNB THikC7z/OYr0h8pfHTAVwugeV5RTzyhS5rEJtf4nhGM6k58W0cZQvNGhI0cp 324LGKi8pDuGQi7VnZZKEMNuz5GNkskYmldZ+eanmjh+UH27o856DG3Rfysz ViCOh+U3Ta/3HEN+MV5Nwz8l8MN8v+WdKWMoQHj52sYJOv7SXvXizrsxlE69 2g9vZOAx4RVaBsVjqFBU4c4hTwbedbBkV3zrGKpQ1ffP6GLgqXGJc5aS40j3 wgNTPQ4Tr1hqv7i4Yhzd83U/TfvHxObbM2++VB9HScOGR+SWsfCTqAMPBc3G 0fCv8L9aPixclftc+Z3NOHplLR2k9oyF59rmMhycxpHvwf4zp6tY2HJ9UsnH gHGkmngJEpcS2M96dM/p2+NIJDNP67YBgVN9DZul/xtHnSN77mc7ELguOdax 5MU4+lDsPyBBeZbrW8/w2bxx5KMbmR9DeXbNqK738tJxNFpoW72D8qy1TDhf 1fdxNLm0X1axicAvnTRk1vwbR6kDXw/tFiZxQ0RgcsPCOPqhXl8VR/mVll2/ LkiUOle7l1wV1iTx+l/KuZoyEyhl+tLz+5Rfbfi8t/1WmkBfTCsija1IHKRa Xh6+cQLhLxNeTHsSv9krf0Bv2wTacaD67hTl1+bLHn96LCZQ8pLcTVOUXwUf FZ2OtZtA8n2pW+lXSaz5hZzcfnoCbYp4lwZBlFeHT14buTSB3vQP+Nyk/BrC zhNJDJ5AB7rtCnopn2bpi8aYRU+gEUepwOOUX9tO2CnMPppAxmarqyZukVg0 7PXzlNfU+FcTXydRftXK5Nlo/XECGXSEqp2g/Gr/04rD+20CnbObtzGg/Coc 99vVo3ECzS5zqTruReIMGzfZ1s4J1ETmZmU4UeuVmf1qOjaBCh4flFWl/Mrb FHwpj3sSaax4mV9jRuIX9wllZYlJBDwWltT5g60OJtVHy06ihfRf99Ipv85J rbvOqzKJ/GLHd3VRfk1uyNP00JpEVavVlax4SGx6z/jPr+2TSLhubedEL+XX /XWRppaTSJd2Y3t1NYENfwwMKLlOorL0z+WaDwg8GHM5PvryJDK8GhnF8SZw jLXALt4bk4jRkK926xCBO78rpPx6NImsxtRPDJEEDo9+aW36ehId6V6fET7M wpv26fDlfZhEBPgZen9h4eC6vfbRDZMo/tL5FybnWVjtbhudt3MS0W5936Sx k4Ub9rpy3EcnkcGRobPnZFlYuTZI1lR8CnnHvn0lnc/EVVGsstwlUyhLsbLC /yYTX7RMvKS0egrp6TROWe9j4i/VufU826dQtHxnzd5uBj5V1R+Ze2kKXfwg 56A0R8fMyEtIKXgK0S70Jrh/oOO83fyDd+9OoTezCy93+dKxSKX8LvdXU0j0 3v3L9/9J4BfllnxKf6dQ5PfTR3ZxxPDg15xLdy2mkaZVQO7GDiofhxgq89hN IwnfYalMfUGsv7Om/ozLNBJ9pVe0LFYAR3zp09wVNI2m1hU+pW3lx2qlcoPc +dOoeaHRw+caL/b4FGh/RmkG1S5dfavdaZYj12HEP6E5g87VjGg/5J3hlPEI PfeBGfT6rLXWqfgpzkoI+3fz4Ax60Z5T97B0nNOYF301+dYMytO95HxBfJhj 8Prpw8ahGbRrouDBo/+qOYy40qZtObPI9ma4tXH/CPqYG+L3tXgWbQ/326xq M4ZcGkyX76meRXva9Z6Ffx5Hn8hqZ7veWdTYoRl25MEUuhTZOHVRdg7l+Ma9 MFizgH5f75VMvzqHXvps1L3rSoPw5Bd5G8LmEL/GyYfbmHygW+Rm9/7+HNL8 S0+1z+KDaK7RJ6UZc0j0zKeAjxP8YOI9u6G9Yw4RzzRtnh4XgjfuonulTObR 7HCI6K52Mfj2gHXppfU8ancf/vn1rDh0Fsv8t/X4PHLn3fkqiVcCZKRX952+ Mo/YLseMokTpEFhgGFCQNY881yrQ/39ePuwzTbUumkfW4cMekdR5mkNaVfZV zaPPZ8YMAkMYMOBsv0Syfx495F5+t3KeAdbMK29PLV9AWZc1e52qmeCuF9S4 uH4BWXTEpCIeFoQ4hi3e3bKA0k+W5bmqs4CTF7eLc2ABfUx8IMMJYUFTxyMP K8cF1EGzmWzKZMGY+PPYHq8FVKMz91G/hQXKDjntrIgFtN5y7GqlMgFbwzhC qfELSMZ004fxXQTYZn9er/98AV1tr39q7UrA+d/l+2qzF9CH2HcnhkIJuC3y 3dvp0wLa0J217MNzAl5sbE6ar6HO4XF9vg+fCfh8pL0kqm0BHVHYFN3fRsDM 23+sD7MLqESx5F6NBAnEr6nNlkKLyOWLGv91RRLWCXId7ZJcRNHwQvSIFgk7 NASCfBQXkWOwfqvdDhIcbMVfMDQW0fPfs1sC9pPgF0TWPEWLaHZ51uLX45Qf X8tO6Zotoik53dkN7iRkNK2Qq7ZZRHqpdgL4EgnfaGu2OzototO7LrBcrpHQ uU7j1Oy5RXShOevhxmASuA5ujowMWETWIlG28pRfZQLg3crbi4gIiOFSpvy6 8aVxc97DRZQ7aKa/m2pb/DDnsXixiMpGBt/fpfqf4rZW/pu7iPzWnHCbosYL XHPY/HLJIro/1cTy9qc8ue/4WYnvi0h5Z9qFpd4k5FxxeZD8ZxFtpqufaPMg oTbVE28eXkT1OiXPih1JGKy91Fkxv4jE8kqFyw6SQLsC/Bl8XNDnG3lwbCfl UWL7fR9RLnBaUu1koEP5PtVY1ZjFBQYuJdlvlUhYo7+Lw5DhAtxzy8aMReWD WnPLZgUuENHVPEWfJ8DQyfLvUyUu2MVbs7jQQYDl/L6LHuu4ILXTZ8OSMgJO Kx1+yK/HBTYRJq0dtwm4lH9UvXorF1TbmoXHeBIQtOd4cZwJF7z/Utrtt4eA JG+XXrX9XFC65PAUlzABalhoKvgwF0TybBnU7WQBpqXwtTpwgdqZTd9GMQva wjoUwty5INhmfs1fDxbIJR7e33OTCxIN9OvkC5mQ3jF7HCK5oML788+7UUzY svqBZ2wMF8jF/IhLPMYE24z6MMPHXKCf0Cp8a5YBD4p3Fyflc4GWhetBUp4B KkKD1VOFXJBU5BeR1kGHXLPQ1t1fuED6T538dAodGupLZ+a/c8E3Z/zg21o6 SPYYqNsMccELWc3atD3iECW24SFzOTesDRcLq6sWguWWNWnOytyg/6ToQKg2 9X6Icc/F67hBOOjZxoMJglAl/7LOTZcb2p6rG9gfEwBxjVUiZVbc8PBK8hX/ OhqEWEtdDAjmhtoPx+172xeQ/39ze8b6uUH5jnn/Mp1WZKGW47FmlBsGP8qo BLg0IrkCr9v209xQkS74TjCuFuX96a2q4uOBCTRJVDVw0MjKxt0v5Xhghfv3 tYz0Co79iywzRwseiBGwumpUNchR2+LhmmDNA7+8/dmX6oc5C+WqYXW2POCb KPzvzrYRzoOhx9+2OvNA8ciMdLr0OKdGI2qXvD8PfFLbTwvPmOEY5LqZNLzl AUG2gf4KzIPFd6o4S+TxgILdmlfWJ3lxc9PfG0aYanu7LJcXo+GLc7almd94 gPtkXLG+FR9+jXYZ3/7LA/frG7pPVQpgvyr+k6V9PLB2c6vYtLMgNj1WGLT4 jwccWs/s/cgjhLv9N392XeABdxeNywXrhLHCZyXDnWxe0JmXifY5I4oHrduP X1vKCw9MpCejZkRxftfDwJwVvEDkyOjdChDDB4Qki1ep8QLtv4OJ0+HiONKU to3XhBd6H/XfszOkY7sWjr3Obl4IS3vn3HONjlXdvP099vGCquVdY0Sdt6UR IwWtx3hB5cTTOR01BuaqbYP8y7xgGxPgvcjPxIE9H5MuX+MF/mUKmSlbmFiI K4Fn8w1ekClN18OeTMxce7A4K5oXOMdn3ys1MHHsNq2VZ+N5IWUs66ebIAvL 2pBBGo95gVGUV8PUYuGVwdXGr17zguGqRrNjESz8POFVims2L9RkSY/z5rLw uswwIdWPvHD/vrLqWBsLa/82KUsp44UDb5UXX60hcP6kkurJGl7Ii/k6edac wAbi/GErG6n55dUGXD5D4J26heaPOnnByCiOo/eCwBV7El8dHeAFwcyLa8dK CLzXyY8uP8YLmdd6M37/JnCDn61HywwvsH3ereOdIbBttE5NHDcNbmyWf2dN p3yZJqVpI0iDgC0cuyZFEp8onLgjJUGDOsZPvVAtEvc21I3VkzSIcrmw99QO ErsNZeyLlqWBhBx28tpP4hG+2+/2rqDBSGpzyNPjJL4ge4bNVKHB74ixEh53 yocaZher1GjgZ7F+XfAlEl81WdMYrkWD06czyzSukZjvqJCOmT4N9h5PS6cF Ux4+3/VAxJAGy1el9cxSPhYP+zT7ZRcNfnKnSEtRHr7z+LHtDUsaWE999j1I taXyrn0wOkiDFYPOdpjycXzVETm+o9T8S0Z4zSgfL+vacqXIkQaTzkXvFv1J /HR+Sds1yhHyuVs4Dd4kViFmAM7S4Nf9ohMNniR+pdKQtHCZBkrZAwKLJ0m8 weAdz4drNPhTkVxgdojEOfvvOnjfoEFToTbrsymJ9dw8izdH0GDNoTZfZz0S FwRarJyKpsHYkRr/zSokNopbF/QunprvfcPHWpIk/vpGtOvsYxqcrXQ/eoKL xOalvcaaz2kgc+SWbnE3gWt/lab8e02D3OhDQ/sqCdwscv2U20caCA42KMrG Evjococy1U802M02EbG+SOC/2gaqfWU0SN9me7J8P+XnE/MDJxtpMJ35z+QK g8BePj/NV7XRwJ1U1uL0sfBUVO6rjk4a1CT4fjcuZmFufM7j2BgNvm76tXer OwsH1e+tkZ+lweGXl1rfb2Nh4QF1zV/cfODQmH8ijGRhQmZwzEaCD1KXHso1 zmTiVWcdL1qp8EHme4lzYb8YeK1O697/1PhA9K+T39JUBt7AdWB97yY+WKWI if/nz62hJp1XtvGBcQNXzSAXA9slq1ql2fLB+SejhwbF6TimbmQ9TwQfZPi8 W93aIYITHriImEXzgbzORfXevSI4+WhHZ2wcHwh4BYT2YGGc0f89YW0KHzxf afB9+K4QrqDlihws4IOnvn/cbVYJYL6NV7pejfKBxtPQKO5pbiw6O1k4M80H s139TwtNuTGzwP2hIRc//PjqtaD1HxdWMLPf91OUH+5Z2H7pvLrA0TthWMS/ ih9CrFr+bOmb4pyNFvnv8AF+iPVK9D/U1MvpGI+1FvnADw8XSh+w13egRwaa Xi1F/PDSe9sGvkNd6EhYRcSrr/zwLssutyOwFzUp8n3Z28APCxkqT146DaPq vZ668aP8sE59t2QWlfM+vjFVWKsiAGbqUT937ucGn/kuvUU1Acj+/calicED m00CDlZrCUBxsMrJmq88kNmWG3XOUAAmB6sevqeeq+cSSnwfjwoAbS6iOnuW mqcrd695rADso8lndsqJglVuPP+yhwKg+MmkMD9HFJh82itGkwXArer7ZxEL MQiPd7ONzRCAwUfbxFrPi0Ng2c+K1nIBiOkZ1J/ZQ4et7At9b+oE4PKFsPPE XTos2jMFA38KQNYlumJuHR0uz+wwUO4RgJ9dZ47c2sMA99Xv3rrTBGFywxe5 99pMWHduT9VWEUFQfdQwFenGhD7c308wBaGYYBwqecQExwMrVuXKC4LTIWGJ 7fwsUEz+uPXWKkHoGEqMv7aRBX+GDh45vFYQovluqIo7sOBwcOQ9bl1BOCo/ 20LLZYFM7ZqsWgNB+FiQf/vkbxY0yJVUP9khCLNGPZuFBQmwejcvvNNaEK6e 7uzjtiCAyXNfSfawICT+5/bbwoOASrMN2wcdBOHURKd2bSQBO/+e8o3yEAQz 2bmbjl8JMPJd8WL7RUEI6RARmm+nfE02N034CcLOEHmBilkC9F/eFUq9Lgh9 uRHOPxgk6BiaaR8KFYTPCk6S7FUkbGrhOyl2RxBuL0nQuaVNgsa5j9Gc+4Lw tvrfdQ0TystiF4o9EgVBb9W2dyIHSFB5sn50xTNBgDnXm+QJElZt6V5W/1IQ Kjft/mBOeXj590SLG5mCYMF5LfuO8rCc68ErOu8FIVPm09hOysMyfMz0/gJB +LTJ4pco5VfJhK/ND0sFwSuTx4t6vwJzY4DInkpBSN8QZipJ+Ve8XFeHt14Q TqTm0w5TbZETY05ZzYKway95upLysOD8i9iT7YKwLkPyj+sNyq/RJz5L9wqC 2pBFi3YA5e21cuNlw4LgoWlVp+ZDwlxx/Qq/SUFgp7zeYu1FwpRthKXagiD8 q1sbm+pEwtiY8bU/NCEYPZxSs8aWhOFQrtd3RYRg7ZcX6JcZCf2Kub+MmELg 2O2lVriFhO58D7FpKSFwCts02bCGhA4rFb00eSGoil7buUKKhLb+P6cOrxIC JPn5XDIPCc2Bcfcl1grBdU3vdNs+AhpkrUoLNIVAtScrz7yGgLpM0UkvHSHg aLQW+2QT8K3D16rBWAiSueavRPsQUOqzKSDEXAiGy972BdoSVJ0OvdHbJwSr 83+o5+kQkL/9qESSvRCUq4sa8IywIKdZSn+vsxC47hziXVLGgsyz1af53IWg +IOKz/VHLHiRvPWrs68QZPyybTtsyoIUvdmpJYFC4CMWXl0rx4LkurdKFSFC IO8n8O/5EBPiaSuva9wTgo8vvUtCQ5kQdlwAZjOEwPpmYmrkWwaEzHHcXuYK waP0QVrgJQYE3b2YcAQLweUXgwpzWxjgV9wzU1QuBCuWCe2NKKSDm+K3rNBu Ieh9vj79yTkJMO+IXCMnJww7dJZde9YoDN/WdNTZKgrDmuBb2rJGwrDLS8sv TkUYqlc7rE98LQQ7eH5VSWkJQ+jV+ELeq4KwVWHNeZaFMHRbvaq+LMQPG20/ YUF/YTC0BUvHai6QrZveN/pXGGTVd2tlbuxED5aYLar3C8PsDRb9q1k7knZI THEfEYbwT9ceex1vQ5IjRrMDC8LAaj7x6b3sd0Sn303sZovAxFYHlzLrRxxe 03V9LSYicI6ueEbZu5vTW2R/tfSlCNQJJCQtOcCN5W83nArPFIGc7jfahxk8 2MrOfJ/VexEIyJP9IfqFB3+c2qzSVioCmenZvy9o0nDUWkbdZLsIxAaYFJaN 8OOSmaCPH3pF4IVJ/p6yBAE8VzKXEvBPBLgt+G9/MBLEjvbdvhKLIuDtkO5t ECWEdWM5SkoyolD/0MVKV1wUux/fyBxQEIV/toHh25+J4qfqaXMZSqJgvP9Q QtUWMUz/FlOtv1EUrp+/qoUcxHEHl5u3tYUo5IwlqYka07F0RfsJ2f2iEHsw wWLgBh2bxx20+HNYFNhKK1rsvtBxzkbDlW4uotAdqMz1y5CBQ0/JVl4PEoVj Z6cqslWZuEArKndXGNVfZ/vKG/ZMPEETTGbcFYXXVb3tnBgmPvrf6MWEJFGI WtoWYTXDxNGnnR0cUkTh6POZyZTVLPx1c6vZ6lfU72cJfNy7n4U31H1dnpVP re9XqHPcSxZ2TgIx7yJRWL3M7K5aPQs/dHs3CV9FocN1dF50noUFhR59+/ZD FLS6PEQjDAm8pZ6dHfVLFBTHbrqvO0lgz8dhSQf+Uu1vAlGCwQRu2XLpfMeI KGxtUnxwtIDATJGho8+nRYE2PYIafxJ4R8PxXe5cYuC665S7/xiBfZ80bdwk IAYa/TQbGxESZ3haKMyJiQFzQm/NEQUSd6HPwoWEGJQGhDIjNEksK6Y3HryE uv7aVb97O4n3NL1pNVsuBi+ibVqc/v/97jOlr6zVYmCxu3yphD2J359NyGxc LwZcK51tG11JPGzA+u+/TWJQFRXW//kCiVdK3Lx5YosY3L8Y7/XjColtmhe8 1mwXg306fLHCQSSOSD1r92+nGHDrac0dofxafL53R/YeMYj+nbTjRyiJp7cd 1fQ9IAb0iMxl///7hHWM+qXbjojBqZRfqirU9c6wTv/oE2JQKbItzuQmiROE J7u6XMQgfaLOoSSQxFbBAmY6nmLwap+UcLIfiUVpUhmhF8Xgw8lD59vOU593 VZnd6icGRhsHb/tS8/ee1/ZRvy4G2Z8VjHyo9WlcNvkdcEsMLilu82nZR/l+ 4qBR/W0xmLB+svSRMYkfeZ1KU74nBvGOsawyyv8Hhy/TvR+KQcMhZ+ODq0hM d711rjxZDCSRyyMzFolLe+Ka5NPEICk6XT91gcBXHF8gzzfUejozFlwpz25q z08uzqb2c15jKqGKwE+aW9yci8WA4RYxaBxP5ZGDg7Xvv4pBuUGb5OcrBCbq F7TFq6n9Lo+uzD5GYP9Ked63LWKwhVvKZEGBwDqmak58HWIw8p25af8CC/8r hfL9vWKwcUuco2oTCx8tPBY7NyEG1uxnigfCWFgKec6Zz4vByR1XpLKOs3Dl e/9jSbzi8GSlrFCcDgvrZz1eY0QXh96jZi/F/zCxbMpfTsRqcdioY645JM/E dYoTin/Wi8NMn1PpUB8D30riD9mwSRyac6xvRr9j4JkHSlaNW8XBYb3qud/G DNwQ5ty93FYc3I5u3frPho7veA3Q34WLw/6jNzS+h4nincPz5wSjxWHBfGTH 6wURzOMq/tMmThyCpv80n3YVwe6O658sPhOHYv6J0qztwtj8oMdmkwJxUN3R YFz5UwALo/FjzaPikCjtEB74jgdfNFAWfDcjDs/H7VVvz3Hjzm2H0iO4JcDu aAAXnwE3LtxRMLNVQgJUfrz+9iVkkXPZMuxOqooEOJaNd2DvaU7fiZWfzh+T gDsbNvW0jPZwvoXuU2ZUSsBQF4fZqtuDdCJuVPR+lwCu/k7HtpP9KOX2+7PF zRIwLZOibXt7CAXGLCu40CsBS9bMPKoeGEFyVROqQzx00BDeRK9dPo3qGws/ 7ZOjg6jYOFdUKA+IHWq+V7iMDn5tI6S+IS9sbx53Wb+SDtnjA6s2zPFS56Iy U0iVDmWpo475x/kgvD3cLn8zHRqWhm4LkhME4wGbyeX76BCXts3xpZIYPCQC aq8coMPbuJaTgu/FYEw37VXzITq05Q7uathF7VPI7MkYezrkZ+mteXJCAmaU 4huE3OkQz1S5vCefTj33xZmOXnTwyOx/pTJLh6fn+yOLztNhONiyLEKbAXs/ 6Zn4+tKhoM0utDudAS/sW3KHQ+ggECf/a9dNJvCE8MWYhdPhrwojZOo9Ew68 Wev5/Pb/58+qER5gAh+Xn8rxe3RQ8+pq3r2TBbZKT/kL4qj++fxel8+zIMO8 4s/S/+jAaXxlP5PIArsEubgfT+hwsP1ZTP8w5YdiowsbUukgVWlkfECSAOF+ t723X9BB4nLXtAjlj2wdjsiut3Rw8J0L1qe8Im7f1fXsHR2Ghm+1Zj8g4PhN iWJaHrX+4vRJV8o39IYjPh8xHTrCS2KDKA85LgYfWFJMh85Vazd3UF7KX/V6 w8USOtjkWBqeozzFNG+gf/9KB1kX643aqiQ4n+MaUK+gw+qD+PoafRJwvPKX 8Go6XIiXemtmTvmy2OJJH5UD5sy7NidQnjvdd/HajgY6XI/LjJFyJqGQmXT4 yU86RAu7nftIeVBK58tmnlY6jHGPaoZTXnQ79o888ocOgptaDwZTniy+IT3y /i8dNA9VuKVS3lzy2qBCqoeqh5W2M6OURz1/OD8/10/Nd6dioCPl1dKF20E1 Q3SQNFmI5qLacqvy7NePUvdVOGxFIeXds2Z/9EMn6MDtOpeVFkTC17PCS3qm 6bCct/T3h6skKMRrTBrO04F21EV3+iIJ54tsah9xMeCppP1+uzMklPf6v1rk ZcBirtLXAQcSFJlpt2wFGNC+xUM7xZqEy5trT+YKM6BzYllnuDEJVUdnt0mK U/09Dng83kT5/cYKBS8GA9jNOpe6VpDg82rXXCXBACn7oXhbCRJq6r0aVKUY 0K8W702bJkB5IS7z5hIGGH1wzmxrI+DKyuLITjkGDD1ylhn9TEC9af/pbcsZ 4HPOY61+GgGqZwmTxJUMWH5g7e3iMMq7hce5bVQZYNjk0RhmRsCwQZOM73oG NLQ46mivJUCgYPeGRA0G7ChWTDsmQsAmjs7JTqruL2t9/KNbxAJz/ddXhfQY oBOd7TsSz4ITH1Y+UEUMuOkhd0DzHAvuvqeXexpS4zWsuHVkGeVbnaDO6B0M 8JhuKrIYZ0JR7uxizi4GlU9U1zWUMGEku1NjkcqFwvXfFHKcmLA7M//eLTsG aF/4VrziAQMcNTUy0o8xQPHZDsu1DpRfM56VVR9nwJSYhHifCvX8vY5aYLtQ P2/oLtyl6lz4pdPx5AsMcN5d6A9+EvD5CaH2IZIBMo0XHKw0ROCXYohJ2x0G 5BnMXdv1nzCMP160542l5jtpUWEkLAyKj3qjTRIYMFHutHC2SRD8H+LZ76kM EFMTOTx5nB/0Y0+XDBYyYGzVvgraWm7IulFspzDOgIXLEmPDN7pQys4yqeAp ql3i0WNypAM9EK2pGZil6iWg6kKT5m90NbLV6D0PE/YlSoj7vfmOTO/NrLOm M6Hs15kOiVPpnD/P1BZvrWGC1Our7bd39XG+O2vljqxjgriW6Blr90FO6Rp9 r4MaTOgudFmv/WWY8/LVrq5Vm5ngurpDvqRzlHMx27GywIgJGrufufSJzHDE S+L/mzzGhESu1Jx1wzyY++bjg3YnmHBuhq2b9pQXj+18zvpE7fuhf+6xbodo uLEiOzjqDBNUf573CeXw4eT6mjNrfZnQdf7310vugjj2XuPqu1eZMPPw8JJr bCEcYtPWPhPABIVx8zX78oXwmV8D+0tDmOAfIaW+ZlEY63QKgsM9Jsj+qa5h OInhtSkSM1/imPBb9U7K/KwYVjglman2HxPe59fn7wgTx3yDK5QXnjAhA55D 6TMJXDWuT7//lgkb/UMEolvouCjb8OviO6puhJQSj8gy8LtLpoGOeUyotpCa en6QgePmD05pFjAh5twXqZeVDOzId66tooIJK74wvMpTmFhG/suP2WomKC5M 1hT9YOIK7aWVyt+ZUHGp6vZOPhbedPrTB/+fTHjnv2Tl7CEW7r0unfXqFxPy 04fGl16nfPuf64vm30zgOnJJrugFC/PXknGbupkw/172T9AkC+f1O0c59DHh 7ccFdqIMgd34P96MHGRCW9iHK2p6BK7f7Hixd4wJcto8f19eJnDI3rwz7Ckm uDkm2sfEEljfVfzk9lkmZAqYMgcyKB8lvtv3kJsF90zmBJo7CHwgT9isjMaC i1ukK87MEli0zm77lAALtG39vjjRSYwHMnRXirDA6vpFo08rSHxWQEDTUpy6 XtBgFriRxMrLDqlcYbBA2ZNnItmQxM06r5a9IFhwcubAvlWUfyOteKUb2SzQ yUf+AsdIvN1tP51/CQv+SMvcMT5N4qngNAHN/+fSc7se/j1H4hdJiwv/f86L 1LXy2nxJfPT93olQRRZcew3zWpRPie/PBnKVWLDcqsy39wblw8HZjk4VFnzb Tx6YvEViH0GLZtY6FrhZXN1hR/lXbXlyLahT75Fg+ffyVLtDd+qr6wZqPimL inpU/3v7TAsfaLHA5vDa2bfBJDY9k5hbosOCoT1ZGcH+JOa6OfZ6bAsLRtWS cbY3iTMf7UhZZsAChyf8D7Z7kdgpP/4/8+3Uftj0vF3nTOWB+uEYb2Pq82cO BJw/TOKqoe3hKdS5vKBm7ytrQeJAofvXv5uxIEQxQWGZAYm1Vwz48OxhwWNJ nfjraiTu1zM4u96KBS89gvJ2yZE40TraxXY/CxIGRHadE6Z87t5jf9OGBae3 Wi2ljRNYMGSLzbvDLBBT7uGaaSFw/uPbe9qPsuCStdWnA58IrPhjM2w5yYKb rnXrDkQQuGE4TOvUKRbIfJ7znPMgcKjwn3WxriywMF5eT99L4LEtIUv/ebGg +EqfUhSdwCn7fxFyF6j99ftQRBtgYVsPDdFdl1nQUPtx+UgJCxcnN80kX2WB fqlvpMklFr74cd1IdQALcm9Z1uTuZmHVBv+ehSCqvgYCt7xRZOG7ImsaKDcD X53ahMFXJnbw9M4SfcACpfXXswxpTLxJ41fW6gQWlATK9hysYmDhEXhnRLlF bCC8Sz6OgV978GdffUqtn6Z4olqVgefcb+eMZVCOedu9TdeAjmPOPHvfXMaC CuPvy8YcRLHzeuH86QoW5IgdGjpcL4L1hk7nS9aw4ExOKvnBSAS3u2l8sGhg AftZjmfAMmGs5vbhY3EHVQ/fGv4dxQL4y+naghfzLBDi2D65/JIHx6tuKvzC RUAjD/Hck8aD3fvvFXbyElCZjs2kbLix5Gm7IgVhAo6Vh576j5sL27v0FN+l XPVgof0Wb9AMZ855scRnPQFJWfxNF50HOetPrqkwPUZAkDj7aYRMG/rlLH/m 5XECSosSZ1ugHYWeZtHFnQgoUGPyBZzoRD0es3sq3Qjoi4vJzkvpR499yr7v oVw2zB7+lRI8hthRLi3WsQQsrPhx7+QOLvh894jf/502IGVnspeXG87G7pWX ekhAy86E9M/53FAdr3usMZmANvXuedoaXrj1TOTvoQwC+ou5DqmO8sFiflr/ 0XICbHQGvdoURSCd819YQRUBEWvPvlhaIAK2hXfWLa8jQKHmR9K4jSjklni7 tzcR8Hq6PsIgWAy8anaNnegmQF88bqIFS8Dy7yj6M+XCFVl+mtsV6VD1Q3OT 0hABJ6OUOjId6bC2ZcnF7nEC3s0mZO/pokNXV9/sKV7KjbHdL5vrGRDT2xpf xk9CwWJa5Ig4E7YP1G5RFSZhc+LOyEuGTEgaeX9lgE6C06Y4t5KXTLAYf6Vg TpDwaGBvS2ArExYmHxeks0lw8UqWS5JgwaH5W7zuciTsPzTs1kk9F8JcV5Or lpHw+lxLikAMVTc8Zw3VV5IgWGkocpHDAlLQNnhkDQk77tmztMQIKBa2UN67 noSVfdw7r6gT4Cm2/ctbDRLuTrecErKi6oKpKnJuMwm5D5Mrftyh9sHVtSdO jwSJtd5H1F4RkF6SXlKIqPGWyd+YKSVAbvnwk56tJLQUyVts+E1AuI96IN2I hGxZQ/XmSeq+1nvaa5mQ4MsaSBsWJcFVPRPsTEmojTgH7gokNN8al7u+m4RT l/TOHKTmYdq5aT7NkoSh7P9ynlPj5sPFnzX7SGjT5Euw30OCalxu7vQBEvLM t1RcsSMhfnwmVoFy9VLEvsN9igQRC73zxkdI2BloZd5Fefryc18rN3sSbiS8 s///96+9NI5G9AnKzcKLGs3+JNgc4WLkO5Gw3WRoWW8w5d9cg6E/LiQYN+2I Okh5WocIKBeinNsWrDa5mvLzc7fiNDVPEoLe7bA4RLVlvvCF7D9HgsOdxx0D VP+bK4yd/Cgn709pn/1N+XzK94bRE28S9K6ktVDnATg1fFH85ketLymhesiX hAYNEd7RaySYP7CVFz5P7WuY6W/p6yRsLNNlBJ8mIacrjAPUOOebJS1PHiNB aWtlwknqcwxH0vheWJEQE0/3CQ8n4f0x2/3W1L7zT+6xybpNjX/lpudJytfn 99zRbr5LwmLSXf82RRI60+okee9R9bG0NaOQQcKno/trLR6S0Mf1a01JJwEb 3t97cyGJhMzmurD+CgKSyaaIh8kkgFrcpWtZBAR+tTXtf07t36l8fx4/AsYU H6qw0qm2o0rvyBECHK60Cuq8IcGSL/zMISBg6wb7T8HZJCQesHVKmKPyXfjj x+l5JOjff7XLm3qPLe/puPb9AwnX9/s3N1HvRe6HJ/VXFJPQtfRM3hoHFmAB 1+yPVSSIr0/b45rBBDX79Oi/tSTY+lveeuNPuS5/yEv0Bwm/79wejtzDhCse nmo2LSRYqWUvqPUxQP/nhdTxHhL2gEuRM5U70jfmBssOkKA7vXXtdC0dlkbO nNg2TOWith03t1O5dG677/LbEyQkMVvNFJbS4X26f5wqryQc35u5uldNHPhN 98nE8kvCTkmRn2YJYrCnR+k+t7AkPBob1SMExKBrRXlMPV2SykeHZmdrRIB1 nx11VU4S7gbE+eSbCYFLwIsbdZslYdhBqv3bT15YcqD+nI+7JKwvj6jhVRxC juMpY51ekuBqlEi3mutDb6K8vfZckAQv9Upd1ZpuZFyu4LHKTxI+rthQdPvC H+S11eV01S1J+OQbUb2s+DMqU+VyUHwmSd3nYh7Gn3aON7eKxbcWSWjp/XjF eyc37twu0rDqtyQw7K/Li/PwYIsb/UeudUjCLZO926RyeLCixKszm/okoQ+1 Mazlafib7IaIxClJyBmWEyhv4MebjpLs2VlJCLyod9LTXwAnPp54uG9REq57 ueaxVQTxOZXcdGF+NqhoDd1Y7SWE5bT1K86y2CDabLGtrVcE3/CWt66UZMOS Bk1Y8BfFIx+5fq2WYUP348L9r6TEcIlh0cAvBTbk1RI2sXri2H3vDjGTdWyQ vo6mb2vQcVPM6ujH6mw4ubjtKTpLx9ubhJcubGDDGiWu1KBMOpY+Vq76VpcN TY4bXMvUGLjQzdJ0qQkbMj3jFhPYTKyaoVl3wZQNZyfLpK6bMXHMOGFbs5sN 7fJxx1quMbGLzw+XYGs2XDhm4FP5l4nrOTmjvw+yIf/nOeFjJAsD7wNvvcNs 8FtLa7TcxsJEiO2tfw5sWHQoUDd+wMJ+5VtYpifZELPusfvWIhbupsvHPT3F htmWCJWIXhb+EPv7+SEPNoy0P3ST2EBg5Z+FGu/OsoFlOXNfz5rAUXLJefSL bPj3Pjg7/TyBHZ84fv3kx4bNRokV1pSHq7qNLRX82dApc/ZMcDmBdVRXN12+ Tu3nubFPI50ETj4jbP/9Bhv0n5oUxywQWOJtX8/6UDZkL8bZehAkvjzxzSMk gg07cm74XlWmfLk5fbojig3f1vntLtQhsblvxDUUw4Yyf/HwjbtInIPdhR7c Z8OwvwZv40ESL6dZ3h6LZ0Pb/J+LaY4kDjXWlN6dyAYolMpN8yDxRAiRlPqY DRYm1WENl0l8rGJcmfaMDSKZeFyN8uk3xo/Xds/Z4PilKjaT8uumfTnauS/Z EBtxXM+B8m3ivfuY9YYNdaKtaXqUf4WbL+9wy2SDpfHjdKDamy6kikVks6Em Y41cAtX/GLOh5lUeG4KTftQdpXwd+pL/XtUHNpw5nb0kNICa/46Nh/9hav25 rlHylM872h2WM4vZsHe0u2kJ5XeJK1FdGiVs2BTAjr3mQmIdmYIXe79S86/t ctpzlMSOWUMeZ8vZEGa2Y+TWXhJHWchpRVexoX7L6XZ1Kj986DOdy6plA1fu O+ftVL7oDvIuqK+n6jfsxGgxlT+I5c+DJhvZEHBm61AmlU/Qh4ZdUi1UvTPY 38g5Ap86IMDY3EbVs/LLqe6/BC4IPx53uZMNOYbxxP//n61/9Z2jcT1U/Rk8 iZZ/QGCpTwUr8/vZsLQ/NOGbL5WvZuVez4+wodD6iWw8EPhBjNk5uQk2bItX 5S6SJ/AndR8dNM2GdRfB+PQ8C8s6NRZfXWTDPevT3bszWXgHr2BIEo8UxJ/a KBkZxsJeDzftLuSTggFfw7LDJ1j4a92dRl5RKTC3Tn36kk552cB8MEhKCozP TYmct2bi5Gaft8+WSMEjCLe7rMjElRfSLpbKScHvmYb+Vf8YeFW6IK/wSikY F+R2DQ5i4FqZInaYuhR0LnBV1SXR8boxLYM7O6WAncuny7NFDNtEOPJnmklB i6XfQ/4MUXxdJbqszkIK7PW2hfUpiuLmoyP7JPdLUd673HGVJoJDyl+cuu8g BdsXlEsW0wTx36fL7v7nIwVBM4e0tlD5vj/w9zTvVSkoU9D9rkfl/xH7pCNO AVJQw2cjFaPNg7nkl61RD5ECJ813xTHFXFgmVqGwMFYKkCfthEbsLMciWH74 b4YU0C9c9aiNHOTkn1xqqtojBbK1bz2ql3SgIsOWN5H9UkCwK9CFbV3o64oE 9viQFNT7/FCQdO5FP1pl2z9MSIElvDwbZT2MRvbLXt5NkwbBwNVbvW9MIOUd S1I85aXh6uI72Yat3LB+1U+xH8ulweX52svRc9ywiRbnpbtKGug6k90FmTyw Dcsg2lpp2CvMfWWVAg3stGXqo3WkwU8NLT31mx/uKkvTcvdJg5CVPbzmEgVb u1XP2g9Iw6a3BQUSkaKgeFdzp7itNNg+t6vbvlQMMhfNIh3spWH92c2feNXF oa7eX1b8jDQ8UnDk+v/31PGikRxtT2mYnWpfXWJLh+NbE+wdzklDOyT+nr1P h7GX2Sk53tLwc+7Y/Qd0BrCu929wuCENq2p+easOMqApb/pH2C1p0Nh6ok9j ORMeDfN754RLw5fk+Y8NVkzQsF1WIBYtDVs1szLHspgwc3vdce171Hob5roc OphQWKIr4BAnDRuPPUs6TuV2S01rs5wkabBhnv8qSuVEGWeH4T/J0mD8tnDn ywgqpz90vyOWIg3HVYq8qt+xwFP4VqN9ujRkt6R6x1I5SAfu+YS9kYYC2Wm1 DSsI4Dn/RD4nUxp+e3m+N9lOQNRvzgmx99LgxJ1wvv4alSPY5YLaH6XBmjdN x4TKIcvNmtLsC6jxM+Nn1uQS0OvfZR5WLA2WlxWu+tQQkJEz9i+7RBo68jru avcScHmQO/rPV2lo/hnLY8dFwlZFCW2xCur+Z0rF9lLOF7aR/alVLQ0HJT5k NCuRUBOx2s++Thqu/8hz1qQc/uDTpmVhP6SBNbTx58AOEuxntxVnN0nDDW3L VSL7SVBR33PyT4s0nI7RPBXiQMKIo52w2G9pMOyb/3TKjXJyvMtLrQ5puCf9 /UDaBRL8ay5a2HdJwwBvi8GuK5STBYNGQ3ul4Wvo5kQTyp0M/Tsx2QPS8DZG /M6Tm5RPvRI3/xmWBtVl77fYhVKOS33ZLDomDSM5Nw54Uf51as27ojUpDfYl SVZ/qetqZOly+xlp+DednZ4ZQvl35/dPofPSsGTBp/13EAn46h+nbC4Z2Hft 0RlXyr033g2J/OGVARn1psr9l0mw6J9LFxWQgT95368meZAgtVzYUktYBhS/ GS3uPEk5fD97/JiYDBxitpZYHSIhJUzxXihdBhZ0LPZzzEhwL1LXzWbJQOph s3W39EnQntb/9VtSBrxfXT+Su5YErvWm10RlZGCae3nWriUkRD5wLDmmIAO6 20MVk/8RcOG8v5fPChmonk9u7KRyoZ3lQ/nYVTIQrDhVklxIgKpw/YVvqjJQ buytcz+MAFbnvxVd62XgvkihZq07ATMFYlXcmtR8vrpbRFgS8OWSobLWZhko +0OaRDOonLnvWN0ePRnQEyQVOwZZcE/d9+ppJAM+fp+/ffzKAseezIYkQxlY LyprtMKPBTwHFW+KWsoA4XmHPlvLhJ4NsFFpnwzs7Vh1e+YJE6rotr8NDshA FE3xcMJ5JvxXemfzBTsZsEkZWdvEYoKeNm/v71My8EJn6E6iPgNWEPIxc64y 8I4QOqHIzwDhYZ2tbA8ZcPbx+HzqGx0annk+ML0gA1N+/sd276PDOfafndkB MiA4HOjc+EYcbEfnJ6qDZECKpcw1uVYctldKP+6/KQNf6kLe/H4mBszgPbPL ImXA7VqLjVG0KKRP4LTQeBkojv4ZcHy/MHR//0/UPou6379v0Vb584HN3cMV ol0yYBK/WeRV0DiSfSu8xKVXBgb/3Sg8ujCKWquzT34ZkAHpcaEOm7Mj6LgE kztoTAZkE8eF7bMHkVvIZ81F7iVwLV9q6/8quPN4KP4/DuCK5LbHTNeusbOj UqQ7R2rfyRWii0hJcodcuSJ9XRWRVM6ig5KEVFLEJ0QlOuhCKXLmJjf95vfn 5zE7O599v1+f2ednH/NYLdUWQcjp1UmDXA745+tFY5JvS7XTmtpMeBxAm6Ls 9+yrL51fcm5dDsWBgsX52pY3GkrPT7VWO6/kgP7l55eFk1tL430SZ1tVORCT mtOmJDlQetdlju3nPRwQ8sTDBzWnS12icvI2mHEg7w5L8drTmVKVLMuZOAsO vBkff1m0/l9pfsfjeBNrDjw0fv+1Q3YOKrZxfv3KlQNW9n17OrqE0XvzOpWi sxw43z9XZZG+OIrzPX1y8XkO7IjJX/+gWxyZxq965XuBA0vVzuswoiRQQ92Z IxviOVBS17+lq0IS/TbWvHz/FgeiFw5mJnJk0G3Xrp+SdzjQIHX0SG+WDHI6 H7/KOYsD77t1PdJUZVHf64HKZQ844PN+KsdHgYHGtTMm0ko40HI0gTumwESB RWmhFS84kPi7EHkfYiKhdcnSXRUc2C00tvL2ZSaaL3+BXFfNgXUUr4P9j4ki r5y7Z1bLgRuPeqT117GQjFTYxpMfOBDhnTMib8tCCyb8dlR84QAz40pCdjkL JR/3qqOlBfHL3hMHBllIrt31kPQPDnitlBa7JsdGCnU2Hma/OaAs91Xrswcb rb9vlNQ5wAG9noVVSAxDBZQeJT3CgWcytc/LV9LeTd52f+0YBwSi7r+1DTGk dWbTi4AZDpyDqMdPzmCocmaNYZoQF9acVfuQfgtDO7yVPpULc0FSAmPOL8HQ riO8LikJLjQ/GlpK9WGo/ssSr7XSXOjcWkt+E8aRuTE+Y8rgQo5P1OD0Qhw1 VcieCWBzofav/IbolTg6vFmCmbaAC5baEWfPbsZRywORlPLFXPDsLozuNaC9 qPhPoZNLX189ZuyZOY66UydypHhc8EpX/9FviyM3fERtLcUFQwu2X9RxHA1F 9ZWZLuPCuxnvqfN+ODoxt8soYAUXMLXC1OFgHI37tX5OVeaC9/Jrp0rCcRTY /926fDU9fvBZo/ccjoTsv3Z3rOMCT9b3a/B5HIU1ffSW2sQFt1XXDvrQXhbb WzO7Rp0Leycc3r6nj0e9rjprqsmFssOjyhf+/zwxlLECBFzI3+kQ+iCC9m1B 8dVULS7ged/qVf/D0YJVT5aV63AhfK2MMp/2fPKtB3kd+lxotXBnetDeJ5Zk a0gZcSFgZvDsUgcc3Yi9XbHGhAt3xgpTwBJHCvNvGJvu4cIL6s+e8p04ygxK +epvygXOoZwnOVtxpDxyxSbVnAusYMU6YRUc5TnH9pRZckHILjinnIOjDb8i fTqs6Os//ranfz6OnuwPF5Ky4UJ19YrJM0N0HmqDI9fYcaFfIu7MhUYMlWgH YKaOXKhcVzxXrJzOw9rjiqluXJDRnPm5NxpDBplO+WUeXFC75rBXyR1DNYSt Zoc3Fy61a3w8uZvOg6TFrjUnuXCzXZQbK4uh1jYtv7IzXJgVXlhX489GWmm1 N1dGceHo216fVTvZ6Lr5gZq4GC4knaSMGgk2sqr24B+9woV/FZvRmucs1JB3 /a3wLS44XrIK2dLOROrOymPHbnNh2y7NlohsJkqkCsn6u1xI6/o2q+XBRGbx 73zS87jwttRg/fJRBvp4cpanU8KFawPb33g3yaK1GyMN77/gQk/1xWKb3bIo tg/3wV9y4b+Crfdiy2WQ8ZFV1W3VXKgvOGXZlCaN3ugePBHxjc7/sGvdDXVJ VMZ89rpqhAuJfblHRGfnIbJaZ2T1OJ13IdbZ7TvnodNhH4jEKTrPxiqPbySL oK1jnV6Oc+WgLpP/dXa1MHrWtJAQZ8hB0LUefI6eEMq/c8LTQEkOeqykcrY7 jZTe3LKWU3NEDjyHQiWqK+oEZcYSoVO2cuBgtfvbicJvgpbDrd0rHOUg26p+ s2JWs4AKufIswk0Ogg+rxnaWtQnSKycs4KQcNOLLvh+pGBBkmJQlPrwsBwcz V289rTMtqLROEWpJkIOdwY6FEvdnBO0e3o6MFHo+859Fm7D+CZZdXqbmekMO rJ++W1nTLQS3v0Z+WZYjB5Iehrt4qcKQeWTvguQqOeDpL5oOfCoGrzyVT716 Iwf9WWqOrfvEoTN0XvtojRwkb1BbYtEnDoq3nzzeWy8HRiF5uDZHEu52c0yl f8lB6NTGV58tpeHN1Ejx5t9ysMG595RvuzR0S9UqOHfIgezrzvm1bjKwcvXp kcpeOfjQ8lPT008Wsrx+Xzo9KQd+J1yWwhMGvAl7PpUzIwcdxepKDUMM6L4S f/S7EAHerVTn8lVMUCrUX68xn4B2bb3Gt9eYYPSaTHGUIODLlmgBp54JLg2T cxOkCdjq3TspKc6C7Onsj8NsAiKi7N5WuLHgrXSEBn8hAfcz8mTD01jQQxy+ uWsJAfa9NyW+1rJAeRvT8z6PgF/j19mKK9hwP/wE02EVAZ9TtY+x3rKhR/NQ SPgaAmxsrfX3DbBBeUR7+NZ6App/OZ0g2Bhk2WCffqoTwFsvunrbPtrDi6d1 /mkSUDB5p+OyJwYrPrQWyAEBp9Us9jtcwCBT8DDxgC4Bn8ZluoIrMOgcTRb3 30HA9+ibb140YbA8JyQgwYiAHeYbjQOGMbC3c/7z2IQAmQNHxTLFcLjN3XOw fg8Bg+zJ6B1cHNrr1GuGTAnIEa3yOqSCw9IocivTgoDZ/ATjFtp/tlriuasP EnA3Sf3hZ9qH6RMD8saHCdhedHmrOu3H33lfY11s6Pp0Ts4Vp31JOaI5UXYE 1E4uPaZD+9NGPtPzriMBz0LHW3v9cbj5+UJr1TECzuGmDXNov/6K9t3X7kbP V4soOk37lqdz+KWIJwGMq5uGnWj/Wk/rbqJOEBCGRQ0U0z5Oe6hyZ5sfAWbb 21z9aT//cF6wyPokAWXVe26n0ccJ/uzZU6cIuPdV+tdq+vxD39omrv5HwOjl XXYr6fe/GlvjXBRGQLiSacCF0zg06T1u/HaGgM1Vpg6H6flx/l01Go8kYM6l 817J7jgcKAh7viCGAEPshcQ2e3o/4eqisvEiAbGxsSv2HcChQWFf2t7LBEwW ew3UG+GwuGkzwzOBAFfj1uCKLTiYX6L+i00m4OXE/nGK9nOigeRQzjUCmrwM AkaW4PBlzrBNzXUCUj3WL1Odj8OCpw11f24RMPH0uWIv7ekry7MeK2YRcMpQ eekz2s/1Py4u07tPQP3iR2KfMjHA4v0T7PIIgG0r3zrTno4T2eF/s4CADymS r2RoP38sWtONnhKQYr6ul7cOA6bXIsvmYgKejN/lFTAwiP3VocktJ0ClUPS2 92s2vE98d1+jkoBHE6WBt26xQXbXE8LiNQFXO6VtrQPZEFMSIRT/jgD/btzt Ap338ylLK2Sb6DypzHNY5EWvlz3SG1WaCfgqf54trcWi3fA3w6iFgHUzR8ru yrIg0q/izLlOAhbEC6t23WbCGdOjhsJ/CSBanxb1vWTATZOmg3bjBLSldPMD whlQvMPUrWqKgKUKiacTtjNgaIvexai58vCaSLDQ9JWFg8uUvrAZ8vBg6273 mU3SsG5syEZBSR60WWHBniAGOwePeUeoyIOsrfpQQsJ8cPzzO7xzrTz49RFV +T2icK35c2a2mjzMcZzIFb44D8RePevboCsP5FlHk4flc+FHYkiAzhF5eLco z1ujZEIwETcVdcdWHja9alyVqz4uwKK9r4k7ysP67IBJiYejgh3/2aMaN3nw +GM39C9tWPDIyUDULFAezncm6a6t6RZEarDi7BPkwXLR23qUlCnY2HTj7pka efh9Qz0wSme8lKHiOJ77Xh7ipwtdVfImSnuCVfS+1snD8JWE4J+LpkrTqaLf ig3y8OPFQOK83zOl2LF6+Tft8hCa+vS8au4cNBkobCgqxAOXANl0u3ZR1Jlh 75k8hwfKPw6Yz4+Yjz7Xvk5SEeaBMH/tRAslhvJ5sZ1mojyISfHfvvCAOHKu 4EbckeKBt6WjrVKuJPomuemF/mIevOFGffIZkkWVG5I6m5bwwLC/YrGqGgM9 OjQt68HlQfP15OqJEwwUm1tmlSTPg98F/YvLehlIf6/JdNdSHjiPmcQ21zDR psB86tRyHlD+j89fnstCChm4IWsFD4zLRUd6NrKQ0FhjkoYyD85S/N0BiSxU mOyoGrWOB/s//8u9Y8RGt8urreQ30PNRTDRd5MNGl3tUIh5u5IFWohmbmcpG 7lv/1jeq8aBo5brN0V20JxzMp49r0NerWXhFQhpDRrFFlIgmD5TkHh4UWY0h xZb/PJUFPJh3KyPY1g1DCyTbkhDwQF/P4HRlFIZENui/2KfFA6aPQP3qHQwN HbzX2bmdB0ntSkGtLzD0M1yGEaTDg8W7CojkBgzV5nioMvXo+TmFDzwfxFDx l3qrDH0etHcLXhrR/soSUotQN+CBYmnXKW3aZ4krUu7XGPJgJhIrubUKRyPD uhmhO3lgQpbuLBHgyKRk6Kq6CQ90W8Kkx0zo88+mXu7fxQPzfs5vIyscie41 OJ+xhwfDThqFJc44spEbDbXcx4MAr3h3wxM4Kum4cZJpRr9+VfvwYBCOluTv 9Kraz4PRwmbFB2G0lwMnnIMseFCsqj56hvbwe90Mm/WWPJhKydM7QXtXmbn7 QNdBHljcCHvhR3v4bOP07jQrHvSE2A/G0cd/Z2TuMLXmgdNNEe8K+nxw37dN 0oYHIUek26Vpb6doCKm/OMqDfnL17+OncDQqkr3G144HtjqLJP/Q89vzbr/i KgcenF/lOxZ8DEc5ScK8VkcekJqTOqsP40jcNndhkjMPfnw0uTSxC0e2Kpay Ji48aKuaDWoGHKFx0fnz3Hjg4T6t3kL7l1ueP/vsOA8kxoynhOn6+kVbjbp7 8GBvtaSs3jwcreYXtDV50/niLLHRqMdQZM+R73E+PHjmE7+5vxBD7QXSn/T9 6H7/+JhSm4KhVEO7ikcnedBx4ZfCgoMYmsSZxc5BdP/3anSGqGPI9GfxQ14w D9ZnqH+hcAxJncBunQ+h+33r1zFmFRs5ClCyVhidp4oXLXbX2Khc3CVuPJwH ZkO1c2fp/VpAavl/tud4kHuo+afYAjbqqvK01oyl83Aj/+PoDhbSjiPMhy7y QOb1urYvLBa6fvCNSeYlHqTeIYaIBiYyHyQFWALdT82CoJGjTFS55INczzUe 2N/c2bvXjoH4bYH4zTQeNB6+bDtFMlBQrqK0+Q16PaVnL3R8Jos2aJ+eLk/n wepF08VtqTLopuvqxpR79PxKnra80JNCwSg60fApfT+5ziivVpiPur+jyxPP eKDzWZuo8hdFZlPDsXeKeVCvnl7+5e08pLzpwDlhRK+H7RvWe7mKoK/3lgUU VfIgOa3Cc3XyHLQuodRSqZ7OD/HfB+nDY6XtroOEZD8P3KWORyq6FQp2Rylw ng7w4JjDnTnlta8ExZn7FzoM8WBkqC94Rf5HwaXW57Llf3lg/Sl+iZ1WswAs IoVOTvNglVeTqb58jyBZm2rpFieB6f98KttwUjDPxuxHoiQJ3gftD7m9mRK4 B59r0JUmYWfrT633ujMCvWf9H28ySGiNz7OY5AjByOri8gMLSTB7+SFLbnou 7OSYZrxRIIH/xO12rbMYvc9XQZbLSPjsVbnos4g4/L4v1tiznARb7q2mOdfE IRCKGbJK9PVdeA8SqyQg244K3LuWhKKORfeiRKRhXGUm/vc6EkSO7Wo9FSMN 2uOfH5zYQEKa3UYOLJCBxsjIjgRVEnKirh8UlpcFibzBPU1bSFCP7Fq1JZIB Zv7Vrq4CEnozrMi2/39famWcnQUSQmR7lhgLMUH9k3kJT5uEsvxzxG4PJjhO lq6wMyChscum/s52FjwqT9IeNSShWqLwXYs3C4SivQ6f2UmCD/BflaSzIFF+ +ZW7u0j4s+rTbQMhNlRpxwj1mZGwYcHLN6a32cCSceQEm5Pw2MV/RJ32rdWX bZsYB0gYKUu8nEH7dtTp77F1h0gwaVoTPH8jBlrr30WUW5Ggk9t9dpz2bcx0 5o191iQkqipV2HthsOzCwS8+R0lo+vH4bP49DDzNNw3NtyNB+umzvqiXGJSQ DOkkexKI0iJBw3cMJP50LV/pSEK+8QLnlBEMTB+VaxU5kfB1r51XjTgO14Ou HTI6RoKeSdGYmxwOPbq+ft9dSLj8fLz21Goc1Bi7L7m5kbBGSuHDlACHsG8r c/4dJyEhc/vn38Y4vL8p8jrWgwR9IasCtYM4cF1+tJJeJJSe9t8xSvvWcWPh bL43CYEJVx24njg8nL24WNuHhKfmSlJZATjMVh3b8MmXBK3rZz6k0r41uKhj Yu9PwtnyJ6cmaX/GH5B3Hgug85Be1lBM+7SFmgg7G0iC1LLc7P///qvS+zFt 8SkS8laEFXnTvg0oyH6WFUzCp4v6tU708crgiE+b/6M/v4dYNn2/BdYO64G3 ISREDSw2Dg/HwYqlIWkVRkJdk7VRdjAOWY3sZf3hJCh0/Tmk4YfDaHovnD5D woJXr9XXHMdhm1uVJfMcCTuUxRNibHGY/NqlWxFJQljWqZ+b9+PwaLvUOt/z JASErv8oqY+Da46K3MoYOq8fFCz+/f/548W7xb5fIEFRuKBloQIOP0O9hi9c pMdDjMD9sjgk9V35oXWJhCMjlppoHAOpioZHmfEktJ21jMH///8fKjNplokk BFUeNBbNwiA4ST5KJpmEwk7pOMXzGAy52R7xvkZCdHl1i6QhBtnfIoyWp9Hr j3lYv245Bnbad1UbrpOwwvfV0q9zMfi6uE8a0knIEFfdeOchG+LCGBNDGSTs HX/13fccm3bLut8Zd0go0J1Yf+kQG0oqfJ9J3qPnO4Y7PKPznn58jsOXB3R+ E1J2CtazwKqB2hP5kIRrYt0bG6eYsFBHd8uWxyS9X09p/l3GhMglUexbhSQY ORFOpkZMcH+JIbdSEl67+9oIdjJg5RrVe+QLErZyuoSbxBnQmmwRX19G18+j uJGKlAUz91QXjUoS+l+H6JfT+11NjuJi0RoS5Hmff51eJAViHps9rzWQMK/E ZzRnQhTKGg8d2tVEQkqLZ8FaI1E4qXtaX/gHCZpxVz+8uDoP+jgvCadfJHxR lBPRUxOB+krj6g2dJGB5J9C1A3MgjWuj8PYvCcIGdqOWj0cFGuuVVGzGSODt eWhsqPNXUL9jRHV8nO7/f98aUuqGBWK+EYYK0yQ0v5uY/fBnQOD+IcszcC4f 9C8nRllw2gUQMYyUZflwO+iuQ+TE3dKW/rBD0Yp88NxhZaxBezZQ1NiBWskH do3a0ugHE6UL5BZ6PFXig19I26I/nKlSA4O7YW0qfHgbvHPMvHumND+95t6W jfR4u/K50MdzUKjFgsnebXyooM5s0RwSRYR7s3DYdj4I2kse+8fNR4URmdJL dPjAV15/8s8aMdTzUIPU1eeDWE3jSU1HcbRP5rB+qjEfWnbt0TIolUQK5Xfi jS350C/GTs2cy0C1yuPpTQf5YGGclxcBDOQXr//Q2YoPOJGwe0MQA1U7db2L OMKHvKrCoJ4hBvJkKImXOvDBPkiux/wdE3EDTi7c6cSH55jFg83CLPSytXpp ozMfcmszPr2lPbvoiYvWmCsfsuJ9Rv/Es1DpoZyTq735oDgcxi7Wp31QNXvu +Qk+vOkbuJ9He4C11iTR0JcPgzOqEupJbGQvMvDIIYAPf7wD5Sda2YjhBuV/ T/JB2/aPvdJ8DD39EvshNIgPwaNhIe2KtD/ure1LO80H8yvpBr0OGCrAQqZX hfChCjmQG8IxZH3qo0RxKB/0oi6fnLyOIYlO/mKDcD6IW7GdthZh6OFur+Vf I/iw5ubbiZk6DB0sKt9of5YPPUIlW1T/YEh0KaY9co4PW/s/OXYK4ejA+CNr RjQf1F5PvshejiMRm3nHU2P4sOTiCeXnarTnqk2DlGP5MGXt2i7Qx5H5xttR zy7SY8Uc7/VmOJqTNpqkf4kPJtyXcxNsaN+K6WV+vkzXN+LbXydXHO3zTCiw jedDTj7r4T0fHM02dlQMJfAhoichzZL2ZKaOWt3pJD6YBcfy/GnP7sk9+0sm hQ9hBVSKMO3RqUXf+q9e5YPvdz/vySgcpYesmF2ZStffKnvRIdqzxj3+Uk/T 6PmIu5xQosfjpm+W6N3gQ8fPuX/s6NffLF2y4tNNPmwqy/0udRZHRiuOqR5N p+sT/eABLxRHf+OKdAYz+LCc1Ku+EYij1GnJfcF3+GB1KDcm1htH+vYHbaTv 0vUgV1j30j4fepftnpLFh7uGw7cKad9eVZ85tSKbDy8h9cfQHhzp3toZ/eQ+ nf/4nM3XtHHUL5WaopPLh41mB7hPN9D7BZ++u3V5fPib8f2XHoUjrZ9bC4/k 82Hufe9eAwaOenZcqOx/yAeHOMvr5VMYin/YXB/0mA9kUK3lwzYMdUWcHkwq 5INk1lrPmUcYiht4/2/5Mz6cCCJ/H0jGkOYBUqagiA/qolHEplMYil1VtvJj CR8sQ9L0jm/DUKaapXgIovOpvEtzSg5DpdtHOtaW8aF4+6YP1eNs1GexLOPi Sz5YH2HX6t5lo3l2paHbqviw7KP/4bFTbMR1N7cZfMWHX6nHsib2sJFhRKT8 7rd8+NCoICIyykI2F6lZoVo+3H8faoW9ZKGAq8VNee/oemWnip+JY6HM/L4k Rh29vijVrluKLCTavAd7/40PY/acx5u1mEiu+89QcCMfXMyP1n4XYaINf8M+ rP7OB4/norVilQx0VPJJzIWffEhxyTgio81ASJUjbtJB3088t7V3Wcmgk7Gt MzUj9OdhzbFdFyeO4lICm4JG6fUTGBDE7xNDWbfxolXjfNi/OVyuV08MfS3W 84ueoq+fPCpq8FcUbeq6N2Q0l4LT5Bm352oiaGCbd0e1LAX7LzcYDjVPl9oP i3x4vZKCKJBsLTz/vtQqS7v2oDIFjZr7VJx3viw1OxJW3b+KggU7X4jH/csv 1X0nXImvpUCif6+Ql3qxYNm9uUVHVCkIfNo6MHX9h6DNRihjYjsFhMhWGDMe FjQthpvndSjofODi7FoyIqh/H5wmr0fBvQWde02VRwUVW/8l6RhQMN9iuZi0 8IQgfclszMVdFBiFDbB5SbMC249TfisOURDf6PJ4Z6YIHDy32afYioIGTo3u 7p3zYB+c9DKxpqCG0OssGpgH2jmTrieOUnDANSH18rr5oBA5YfPCiYKAfW/W zrshDtxt6tb7jlHg64KtGlCVAGzc71CHCwV+En0xrW8lQMR+fL+0OwWxZ35e KBiQhNZtY0YWPhR0Gcnd+EXIQMP4JoMeXwpuXP34szldBj7m+ugF+1NgWCao uKgoC2Vyo9syAilg+5X4e2O0hydGNg2GUMBRWjNnlSgTkvM2bAgLo+vvc3jY W8CEOAfvtQsjKFihFR3l4cuEkE/DSlvOUSBm3Xjcr5UJNg+GeOcuUOBFrdi/ 8x4LXEL2ThtcpCDzwWoVbjMLTux99EXqEgX3QxX8ljPZcPbviZjYeAq2H5Y3 +3mc9kblZ6c9iRSY5y/bEX6VDSkJqjpYMgX1uxvnmVaxIUd9YirhGgXp5nwv 24UYFEoc+GKRRvdPZnf5VU0MXjQ+y+fcoGBlasyfgcMYvMnmxHy/SYFbql/Y of8wqA8KdEpLp2BwTrN683UMvht/1z5ymwKFP/O3eJVg0C6/lUdlUtBW6TO6 oAGDiRf/Pt++R/ejd/7qUEkc5l6yzne8T0F1WN1zXRIHKdsX0StzKcj50ZHN 2IgDvpHv1JNHj936oVkXB0I0VDsnnwL/zMsleWY4KH5plXd/RMGeeeh4KO3F tZnaU2sLKJCX1JYyc8dBwz/j8/ATClIPb3m0nPawtoFo/uOnFCwKaI8a+/9z uhyHaN8iCt598H9ScQaH/T1VjurPKTg8lusRE4WD9XNF7akSCrakm0fso/3r HHNO/jmioGdbw+T//0/C+3D35KkyCr6cQPWfaD8HrTH8TOMAfDLLFl+kfR0x J/vB3Eq6/ltsJXacxiH2o1R0RRUFrbpZvrO+OCTfcnWMeE3BWj97/XxXHG55 127Xr6bAOsz5qN0RHLJ1VstL1FBgmdv8cNFeHAoWxE5W11IwsMc2pkYLB9Qx 8Cn6PZ3nRs1H4WtweF24+4HJRwpK8zP/aHFx+Hgu/zyznl7/Wh2ToqI4NB1g O9Z9omBXx+uiul66P0re2698oWCrceKle3UY9E/XE/u/UXD8nrzCxScYzE2L /9TQRK+Pc5zRC/4YSLqP5V39QectzsIwZz8G2Dbz81Y/KRAI9Xq1rcdgeevi 7S2tFBSFN4fcb2fDmkcBRHobBXYHFSR1n7NBI7xxwq6DgiwsMks0jg1Gy6/l dXVT8OlOqKfsJjaYjc9E3euhYO/8vfsOz2PD4ddWDq59dD9Udj3u+MgCz2M8 YnCQrpf6U80CRxYEav43kT9MwTDzu7voWhaES7fUe/+lwMXd3fjWGBMSc29F jY9TkB1yQeNrMBNunhZxeDZJgcYZ8cKT25hwb7edVuA0nUfXb2ohc5jwiF8p t3WW7p+jS+VgKQNKhpdN/PtHwfpKtbD3gQz4H/WhKB0= "]]}, Annotation[#, "Charting`Private`Tag$7954#4"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->{{7.989795918367346, 1.4999999999999432`}, {1.5, 0.5000000000000284}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 10}, {-5.388155959816083, 5.3881585284405755`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}], {475.32527569144656, -92.62500043839714}, ImageScaled[{0.5, 0.5}], {291.7211544500112, 176.4285722636136}]}, {}}, ImageSize->Large, PlotRange->{{0, 631.045945819888}, {-185.25000087679427`, 0}}, PlotRangePadding->{6, 5}]], "Output", CellChangeTimes->{{3.6762501315983133`*^9, 3.676250176425877*^9}, { 3.6762502781850224`*^9, 3.6762502874836683`*^9}, {3.676250328606864*^9, 3.676250333087245*^9}, {3.676250819102541*^9, 3.676250853437847*^9}, { 3.676250892421486*^9, 3.676250938582748*^9}, {3.6762510202336903`*^9, 3.67625102393753*^9}, {3.6762511114566317`*^9, 3.676251112422825*^9}, 3.6762512075562983`*^9, {3.676251379591207*^9, 3.6762513961035223`*^9}, { 3.67625600602418*^9, 3.6762560404205*^9}, 3.6762565185864983`*^9, { 3.676256756416443*^9, 3.676256783467104*^9}, 3.6762577168113403`*^9, { 3.676257829617527*^9, 3.6762578373188257`*^9}, 3.676258873023013*^9, { 3.676259545004307*^9, 3.676259572105538*^9}, 3.676259673716868*^9, { 3.676260230687654*^9, 3.6762602434073887`*^9}, 3.6762629132378263`*^9, 3.6763890708784037`*^9, 3.676389104174048*^9, {3.676389139035212*^9, 3.676389190663061*^9}, 3.676389915755176*^9, {3.676390324212613*^9, 3.676390345094112*^9}, {3.6763911188715878`*^9, 3.6763911549504004`*^9}, { 3.676391201989612*^9, 3.6763913060630198`*^9}, 3.676392078951173*^9, 3.676393391926305*^9, 3.676393482363571*^9, 3.676393529593643*^9, 3.676393587447521*^9, 3.6764307023282423`*^9, 3.6764314649084587`*^9, 3.6764314951333*^9, 3.676431829210865*^9, 3.676431859821949*^9, 3.676431941851122*^9, 3.6764319981859713`*^9, 3.676432434801207*^9, 3.6764863979194803`*^9, 3.676488200904688*^9, 3.67649713970446*^9, 3.67649743316362*^9, 3.676497729318718*^9, 3.676497813509261*^9, 3.676577376762377*^9, {3.676577448108829*^9, 3.676577475103301*^9}, 3.676601154519813*^9, 3.67660287748738*^9, 3.676602923531617*^9, 3.676602971868058*^9, {3.6766056864553757`*^9, 3.676605711042254*^9}, 3.676606251770198*^9, 3.676816043707613*^9, 3.676819023645433*^9, { 3.6768190719976387`*^9, 3.676819081146605*^9}, 3.6768191210901413`*^9, 3.676819597696735*^9, 3.6768278664744587`*^9, 3.676834844515132*^9, 3.6768381669445267`*^9, 3.6768418752382517`*^9, 3.67684192445535*^9, 3.676842004331766*^9, {3.676842107235175*^9, 3.676842128083098*^9}, { 3.676842167643921*^9, 3.6768422128540907`*^9}, 3.676842265477682*^9, { 3.676842335289373*^9, 3.676842360300506*^9}, 3.6768602183766603`*^9, 3.676860730395294*^9, 3.676861160635583*^9, 3.6769416713789787`*^9, 3.676941785625175*^9, 3.676943082495483*^9, 3.676943575364612*^9, 3.676943954969586*^9, 3.676944053116403*^9, 3.676944090042754*^9, 3.6770882870902233`*^9, 3.677182170953744*^9, 3.677182581586235*^9, 3.6771874391515493`*^9, 3.677201631539794*^9, 3.677203842717952*^9, 3.67720728157246*^9, 3.6774634512548227`*^9, 3.677768790498324*^9, 3.6777690322082357`*^9, 3.677769310565194*^9, 3.677769386943334*^9, { 3.67777044968382*^9, 3.6777704766017523`*^9}, 3.793322208537978*^9, { 3.793851490650429*^9, 3.7938515001868267`*^9}, 3.8232276413672113`*^9, { 3.8767886047182283`*^9, 3.87678863915464*^9}, {3.8767887551188726`*^9, 3.876788778543296*^9}, 3.876789189452944*^9, 3.876789357010503*^9, 3.876789419469849*^9}, CellLabel->"Out[15]=",ExpressionUUID->"ab10ab18-fde0-475e-900f-553f3bfa7121"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"FullSimplify", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"OutputResponse", "[", RowBox[{"SG1tf", ",", "d", ",", "t"}], "]"}], ",", RowBox[{"OutputResponse", "[", RowBox[{"negT1tf", ",", "d", ",", "t"}], "]"}]}], "}"}], ",", RowBox[{"Kp", ">", "0"}]}], "]"}], "//", "TraditionalForm", " "}]], "Input", CellChangeTimes->{{3.676818530661182*^9, 3.6768186004580593`*^9}, { 3.6768191304046183`*^9, 3.676819191033111*^9}, {3.67684202508741*^9, 3.676842027356264*^9}, {3.6771821649943027`*^9, 3.677182167039564*^9}}, CellLabel->"In[16]:=",ExpressionUUID->"7c74e168-3bea-4df3-a89a-682ab318c7d7"], Cell[BoxData[ FormBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ { FractionBox[ RowBox[{ TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"], " ", RowBox[{"sin", "(", RowBox[{ SqrtBox[ RowBox[{"Kp", "+", "1"}]], " ", "t"}], ")"}]}], SqrtBox[ RowBox[{"Kp", "+", "1"}]]]}, { RowBox[{"-", FractionBox[ RowBox[{"Kp", " ", TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"], " ", RowBox[{"sin", "(", RowBox[{ SqrtBox[ RowBox[{"Kp", "+", "1"}]], " ", "t"}], ")"}]}], SqrtBox[ RowBox[{"Kp", "+", "1"}]]]}]} }, GridBoxAlignment->{"Columns" -> {{Center}}, "Rows" -> {{Baseline}}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}}], "\[NoBreak]", ")"}], TraditionalForm]], "Output", CellChangeTimes->{{3.6771821677269773`*^9, 3.6771821712945623`*^9}, 3.677182581922124*^9, 3.6771874394828377`*^9, 3.677201631885255*^9, 3.6772038430574512`*^9, 3.6772072819199553`*^9, 3.6774634516773357`*^9, 3.6777687908517027`*^9, 3.677769032554233*^9, 3.6777693108938007`*^9, 3.677769387265566*^9, {3.677770450031959*^9, 3.677770476943654*^9}, 3.793322208735406*^9, {3.7938514908555183`*^9, 3.793851500378367*^9}, 3.823227641574705*^9, 3.8767886454369373`*^9, 3.8767891896597757`*^9, 3.8767893574865227`*^9, 3.876789419921653*^9}, CellLabel-> "Out[16]//TraditionalForm=",ExpressionUUID->"89cf3b62-195c-4e68-9b26-\ e9f0d3645731"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"FullSimplify", "[", RowBox[{ RowBox[{"DSolveValue", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"y", "''"}], "[", "t", "]"}], "+", RowBox[{"y", "[", "t", "]"}]}], "\[Equal]", RowBox[{ RowBox[{ RowBox[{"-", "Kp"}], " ", RowBox[{"y", "[", "t", "]"}]}], "+", "d"}]}], ",", RowBox[{ RowBox[{"y", "[", "0", "]"}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{ RowBox[{"y", "'"}], "[", "0", "]"}], "\[Equal]", "0"}]}], "}"}], ",", RowBox[{"y", "[", "t", "]"}], ",", "t"}], "]"}], ",", RowBox[{"Kp", ">", "0"}]}], "]"}], "//", "TraditionalForm"}]], "Input", CellChangeTimes->{{3.676819423025991*^9, 3.676819512988514*^9}, { 3.6768195560397673`*^9, 3.676819571281768*^9}, {3.676819617889502*^9, 3.676819625712552*^9}, {3.676820998719554*^9, 3.676821016964134*^9}, { 3.676842034277919*^9, 3.676842036708259*^9}, {3.677182182129262*^9, 3.677182184286817*^9}}, CellLabel->"In[17]:=",ExpressionUUID->"038ba38a-8982-43e5-825f-536104ed9c62"], Cell[BoxData[ FormBox[ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{ TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"], "-", TemplateBox[{ RowBox[{"0"}]}, "HeavisideThetaSeq"]}], ")"}], " ", RowBox[{"sin", "(", RowBox[{ SqrtBox[ RowBox[{"Kp", "+", "1"}]], " ", "t"}], ")"}]}], SqrtBox[ RowBox[{"Kp", "+", "1"}]]], TraditionalForm]], "Output", CellChangeTimes->{ 3.677182185123253*^9, 3.677182582142461*^9, 3.677187439710992*^9, 3.677201632114305*^9, 3.677203843288783*^9, 3.6772072821396303`*^9, 3.677463452087085*^9, 3.677768791071549*^9, 3.677769032765685*^9, 3.677769311102903*^9, 3.6777693874739513`*^9, {3.6777704502550383`*^9, 3.677770477175334*^9}, 3.793322208853499*^9, {3.793851490985815*^9, 3.793851500485813*^9}, 3.8232276416805143`*^9, 3.876789189789132*^9, 3.8767893576040363`*^9, 3.876789420045165*^9}, CellLabel-> "Out[17]//TraditionalForm=",ExpressionUUID->"22b215d2-8e6f-4feb-ba10-\ 5faa5c612713"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"{", RowBox[{"SG1", ",", "negT1"}], "}"}]], "Input", CellChangeTimes->{{3.676822768361332*^9, 3.676822768742805*^9}, { 3.676827687369628*^9, 3.676827696304303*^9}}, CellLabel->"In[18]:=",ExpressionUUID->"20020af2-8112-44fd-baf3-d07b4f54ea6f"], Cell[BoxData[ RowBox[{"{", RowBox[{ FractionBox["1", RowBox[{"1", "+", "Kp", "+", SuperscriptBox["s", "2"]}]], ",", RowBox[{"-", FractionBox["Kp", RowBox[{"1", "+", "Kp", "+", SuperscriptBox["s", "2"]}]]}]}], "}"}]], "Output", CellChangeTimes->{ 3.6768227692965527`*^9, 3.6768276966841*^9, 3.676827867159711*^9, 3.676834845136509*^9, 3.676838167888631*^9, 3.676841876071027*^9, 3.6768419250758333`*^9, 3.676842004917297*^9, {3.6768421073485327`*^9, 3.67684212818437*^9}, {3.676842167874468*^9, 3.676842212946431*^9}, 3.676842265569878*^9, {3.676842335378899*^9, 3.676842360399035*^9}, 3.676860218480192*^9, 3.676860730499194*^9, 3.676861160739222*^9, 3.676941671482045*^9, 3.676941785714602*^9, 3.676943082589231*^9, 3.676943575464501*^9, 3.676943955056562*^9, 3.6769440532413483`*^9, 3.6769440901403093`*^9, 3.6770882871903543`*^9, 3.677182171371738*^9, 3.677182582207848*^9, 3.677187439768669*^9, 3.67720163213918*^9, 3.677203843352675*^9, 3.67720728216682*^9, 3.677463452130307*^9, 3.677768791130578*^9, 3.6777690328195553`*^9, 3.677769311132461*^9, 3.677769387534049*^9, {3.6777704503091593`*^9, 3.677770477253508*^9}, 3.793322208859517*^9, {3.793851490993285*^9, 3.793851500508285*^9}, 3.823227641686762*^9, 3.876789189800041*^9, 3.8767893576211643`*^9, 3.876789420064002*^9}, CellLabel->"Out[18]=",ExpressionUUID->"9b87ab59-ecbd-45d6-ae8c-58b48cee4009"] }, Open ]], Cell["Pure derivative control", "Text", CellChangeTimes->{{3.676256123319852*^9, 3.6762561340117064`*^9}, { 3.676256527464588*^9, 3.676256537807025*^9}, {3.676390134403613*^9, 3.676390134811151*^9}}, FontSize->16, Background->GrayLevel[ 0.85],ExpressionUUID->"4775a3c5-3c4a-484d-aa5d-38e64b15ab7f"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"K2", "=", RowBox[{"Kd", " ", "s"}]}], ";", " ", RowBox[{"SG2", "=", RowBox[{"Together", "[", FractionBox["G", RowBox[{"1", "+", RowBox[{"K2", " ", "G"}]}]], "]"}]}], ";", " ", RowBox[{"SG2tf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"SG2", ",", "s"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"negT2", "=", RowBox[{"Together", "[", FractionBox[ RowBox[{ RowBox[{"-", "K2"}], " ", "G"}], RowBox[{"1", "+", RowBox[{"K2", " ", "G"}]}]], "]"}]}], ";", " ", RowBox[{"negT2tf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"negT2", ",", "s"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"y2a", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG2tf", "/.", RowBox[{"Kd", "\[Rule]", "1"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"y2b", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG2tf", "/.", RowBox[{"Kd", "\[Rule]", "2"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], " "}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"p2a", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"y0", ",", "y2a", ",", "y2b"}], "}"}], ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"u2a", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT2tf", "/.", RowBox[{"Kd", "\[Rule]", "1"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"u2b", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT2tf", "/.", RowBox[{"Kd", "\[Rule]", "2"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], " ", RowBox[{"(*", " ", RowBox[{"[", RowBox[{"=", RowBox[{"2", RowBox[{"(", RowBox[{"t", "-", "1"}], ")"}], SuperscriptBox["\[ExponentialE]", RowBox[{"-", "t"}]]}]}], "]"}], " ", "*)"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"p2b", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "u2a", ",", "u2b"}], "}"}], ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{"GraphicsRow", "[", RowBox[{ RowBox[{"{", RowBox[{"p2a", ",", " ", "p2b"}], "}"}], ",", RowBox[{"ImageSize", "\[Rule]", "Large"}]}], "]"}], "\[IndentingNewLine]"}], "Input", CellChangeTimes->{{3.67639015361418*^9, 3.6763901538583727`*^9}, { 3.676390217550023*^9, 3.676390242846733*^9}, {3.676391167803063*^9, 3.676391174097126*^9}, 3.676391239099794*^9, 3.676391297345697*^9, { 3.6764318372903347`*^9, 3.676431995682521*^9}, {3.676432027629024*^9, 3.676432035833112*^9}, {3.676486483492124*^9, 3.67648650799666*^9}, { 3.676487592701482*^9, 3.6764876852105513`*^9}, {3.6764881738200502`*^9, 3.676488177835948*^9}, {3.676497419291457*^9, 3.676497423305826*^9}, { 3.676497532637602*^9, 3.676497563572935*^9}, {3.6765774123744583`*^9, 3.676577417413067*^9}, 3.676577521328265*^9, {3.876788784713912*^9, 3.876788799762661*^9}, 3.876789226917992*^9}, CellLabel->"In[19]:=",ExpressionUUID->"7aafc2b1-de7a-4ae1-b42c-a905e6b43e3d"], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVmHk8lN8Xxy0hIsyIwixMRSlaVFrPtUQLCYmQopLsiaJ8SymFFCVbRYlS SVlaCI8tS4SQJUv2feZmn0H8nt8/c1/v13Pn3ns+53POc1+Pkr276RkBPj6+ LeTP/8enV+2FN54O2cP3pEXo/2NxHdPQgnkO4vIqXU3JcaEkL4DJ9AWnEw3S MuT4ND+UIcQMAgXZqJhmRhC47PZ2nWbEgN3RXXIm5Fg36xjxl/EaZrPpO61p r0GkpUuFzciCjbGfqmKXZcHz7/Hnhxnl0JFw1zB9qgxS3we1uKj/hkft9bvF vJvhLPyMGfHsBlr7/Vk+/S7gS5jKbgnphtRKV+cLVl0QvUix9XtiNxhn7Pj0 260Lysod6K8bukGFZpxyO6oLVI/MJZzZ0QPYRLns2EAXDDiqpLTz98Lvj+fX 1d/uBqcH/+XVhPXBgblJuR+5PeDWu6Y7M3UQDu8oWasn2A8dts2LC8oH4aVk 9m4R2X4wa7qj/qNnEHb/WFKdpdoPWhX9vr3yQ3C62m8r26gfBNOSpGRvD0HD 6MKnkKh+iPZT2nPpxDDIHF5x7YnKABRQV8Rsl2LDFx+JDR93DIJmaFneXjU2 bKxjBxofJPcR9ukx0WfDri6/skbrQbjLa9Bw8mPDnneiv9P8BuHon4iS2AE2 /GdZMBecOwhDb6QmZvM54EpVySjdOQRiSjdV/mj9haInelfoa4ehbFe4xtW9 f0G/71Ka67ZhCLSM20Yz/QsBda8n3+oNg0DYFwNr578g33v/5qTtMMzMj5xt fPoXikWdmr8+GIbhVvPkaoFRUFXwaF46PQyV0Spr8itHYdLNSSs2fQSCMzU3 nmgehYeS2sdzckdgX4329vneUdgcUxtXWTYCxSI2+3ctjMJYiafV5/YRyLkY du7LxjEQuxzelSnKhndHeK8/RI6BUkio3QEbNtyTqlj7/OQ4aNhm+X4aZ0PW NtrHQ27jcEFY8a3hPzb02LrD3JVxeHzv1kSlMAd2vqMesYgah/gOmfSQFRwY 2G/zn0TVOKTwssT493BAN4Bd7btzAu4vaS4vvsEBtzdgpbJ/AhYssii8YA7E /gzvqT86Ae7ulkJyDznwl7GVp+E5Ae1a/PWSLzgQl3NVuS95AvjK0d2JAg5w JyW9TWUn4fTFCErgLAdYNPuFBdYkTG+sTDQVwHBILzPo3cZJqI+7Er5YFEPS A8u4xUaT8O+bu8MGWQymGs9L8wImgdr294K7BoarR8dNXMIngftxjXHgFgyv /9vbuiJ+Eg5mbD0euBMDX+XgX6/sSag9MvtP2wDDO8dN8mqjk3CqxLP05XEM TfdvJjbNT0KxeViq8CkMiz43qAeKT0GWX/szY0cMVkJXdDtVpqBLWP/hE08M ixOKXKJsp0B+n/x+5UAMm8uXTeu5TMEvt3ja92AMtn/PXh/znYKtkeu7re5j +LhHPNLo0RRcF3Xati0ag33LEUKwcgrUvW7n/U7GIPa40/V88xRsinyZ8jkF Q7qVm+Kfvil4Kz1pdPUDBsHft32z+aeh72Lqs7LPGBKbsjef3zYNba8u6Zl8 w2AYbdDVrjcNQzpTQVfKMExY1IcZmk4DzOa736/AsLeRzVZxnYa3q8opXj8x 9P1iJrcnkOstDfLa0Irh3qN3Rw0/TEOEttHlV+0YtprvEMrOnQYb88sSizsx 3K43s3/UNA0qN57W3urFsCGiQ0qwbxrolb8XEvpJ/cxcCY/xaVhxTDLt9SAG 1bpARcOlXBCKG3l0gY2h5gG1IkuBC8OBrcVbMQYf02e+Kmu4YOhywq37LwYm Zb3qo61ciFExDPcdw1D+M6tBQI8Lxzuj1vPGMXiG69/yMOFC2yNdXftJDPIm dZvbbblgq324NnMKg1PNSFiWLxe83MJsZHkYKGG+oHKbCw8HvlmsmsGQbSzM iYjgQvGBk5W0WVJ/yYdPBBK4YBR+MnuB5CXVjIMe77lw/kupUsUchsx7Kby2 HC5czIkU8P+HwebQ9uSD37nwLKbKhj5P+mNpydGsRi5oGnpseElyyg9TIZVe LnjX+P0nt4DhSOifjIgxLrxWntT1JHnO0MVegI8HMvA74BPJieI8KQ8JHswo rd/dQ7JR5S2iTZ4Hz0o57rMkT4VQ3A6q8uDgOqbiHMlxB+MVs7bwAAwLtftI 1l+yrmK1Lg8KWA0dWSRzvn/xjThMrv/ehneR5MjgvaoCtjy4OnQ0hEbyngO1 De7OPNCr/Rb5jjxvn+iJW20+PHht/0ZBheT75cObDwbyYCxKSD6YjFcryKfr y0MenHJrCm8g9ejYJxS++jkPdLpYAeIk31n8ACJSeVCHB9hqpH4byugc/hwe WD1UrdUk9W66/faJezkPFMu7NVTIfPgbaB1sa+CBTaiCiCCX9IfIN96BHh7Y tdZYlJH5qykxSf4yygO39EXKl8j8+gS2H129wIOyJV/OSE6Q/tB3FooQn4GM nmHlcNIf57/dtHdXmYEnf1pETUg/0Xv0hac2z4DR5y8rU0m/VQiIvvFDM7B6 5nPy9DCGVSh0NOjYDJgZVo0bD2CotTV+JOUwA6rPc/Ns+zBc+096e5QnySPX Zo71YGjOfuSfGDIDH/D6ymUdGAKbLVaqRc9AFnv0TEMbWe/cFWVpiTMw6rLd J6AFQ+iWOEkidwYmfAWXvmjAoP3hZVwznoGTjy00uWT9caocdU7OzQCfx5Iy xXIMj9lr+/oWz0JTy4vu9SUYJte+Xz+hNAubF23OXpZP9q+kzzlLj8zCu9Nx 8nPpGI4W+558dHIWVucfYN16T/aD7p2LFF1noa1sV9HMWwzHmfkH1wTOgpRr Qs3bRAzSj8t+636Zhcc/DCxWPcKQlxV89XvxLKidnDSmhmNwbjJUNvk5C4Kf 9mP2XQzflv08Zzs0C/e2Rq05dxODb1gz10dxDtZaxhReIvtd560h2VT/OUhP 5M+YPkD2i8SUbM3QOciwddqWthfDziI3268xc5CkIBFugTA84htPKkufg1t+ UOdE9uP9V2Y1u3vm4Axbcv4tHUOah7jZ8v3/gLqKqfuEzYHKWKrvu6P/IGQ+ 0S66jwN9xfLxOqf/wc/wtD1X/3BAfsWaYZdr/+Ccaq2ByE8O3CzYG1Dw8R8Y D+jQJTM4cJRyLcNJeR4kDM4rznhywGNXYPOCxjxoLS5zinDiQLBD6ELE7nlY 676ndLk9B4jsxwcJy3kojj5U+ucwB1RPfemm3p+H5Hnrd2fXc2AmY5SaOzsP TE1VmzNdbJBp5243FV2A9DP+wy+a2KC+mO9kv+wCxO0Tm6usYsMpm6Up0psW IPnVpdz2bDZULlLTc3BcACu35SH8D9gQZ37aS/LXAqjudn9yYBcbnl9xHtpg wYd2a7Wfol8fgQ35otzbx/lQXUNo4z3vEchflCz05xQfKjn7zYV9bgQ6QnuY oR586O0+V3lv0xGgPztuMRjEh1KOCx97rzwCscXGxc9z+NCie2GyDcQwPJDQ jKMo8yPxN0MayuwhuBE/ZzIxwo/6QLYudBl5L9vw5bzaOD+KruYPlRUeBHrB hXB7Hj/q1H6+NmxqALK7hmpqhARQq9xGzaONAzC2qtn4HV0AiZpu9VGPHgD7 lI9GDocFkKd4udFyuQHQznLb35QhgFzWrmhbLtYPfHUdKOeyINKy0XCWLO2B 1V4OPkfWCqGzwxfP7PBqh57JqKNLcoWRukrFYHx7LRzodfrvwfnFKKWL9Zwh /AkO9YSp0eliiMsu0uW5E8RQkb1/2bslaOONuPpa4XpCXbqBpntCAl3fYD5U sq6D6Avtu/HojATi/fa7+FCng3gqNt3f7yyBkv62NplbdhDii5an3/WRQLUn BUe+BnQQQ1PH9BvCJdATJ5n2Jb87iKTWNrdzxRJI5Vf8jfc3OwnF5F7i/pql aHmYkuWbn12EGEzatY4vRbk78v2iDHoJH23VxZ9mliKc8tlf2KaX6NO1Tr3P L4k8JmTbz3j0EoX7CmZ0JCXRumut5yaje4nLpqEPX68luU9D5ehgLzF8ZtW3 i3aSyFLSWl/6dh9ReddcVbpaEm0zbpES+dRP7Lh/p2rolyQ66dX+63RZP5Ec /tWruFUSWY3sUkv73U/cjFQquDQkiYIb3MyWLfQT9JqpdVhACu15Zr1BzGCA aGgu/GZOl0KaLvy1sXUDhAHbalrZXAoZH6m3+9c+SMTJBNRds5RCL2207Mo5 g8TEzrfvW62lkDs9SyRgfpB4Fjx7NtJeCqVQtysRtCFiRuVJk6iHFJp8beh4 zHqISLFvy/obLIWWp4ZbSNQNEVJNJ/zy8qXQH0txbbXMYcJh4balQrEU8mcG WUcXDBM5qz9o+pRKofGK0w2jVcPEOW8+9sYqKRRPtSs+NzhMFFKeH09qkUIB rzpOudBGCC+jrj13p6RQ2cPU8szrI0RT4Wl+q3XS6HhwYOKKnWzir/Zv+f80 pBHn+OJlBnvZhEiBseazTdKI0P8eaG/MJrYSO872aUkjWdlJs1On2ETEV6kf nnulkUTblvaQYDZhnJkTHWIrjZQ3tc15/mITDps3pafaSSO5ZIEL/7Wziavp ryp+npZG8sq2N7372UTKhwfzcs7SSDeE4aDOYxNi7xxPJ16SRqekX70oVOAQ JUkyG3LDyP364ic9jnOI9pXB+zseSqOLw3ajpmc4xOSLBXvBKGk0HT27W9mV Q6xMGHq0/6k0OmdO/3zHj0PciMuf/fVaGm3bPPfSK5ZD7IlyKeUUSqPCK3+d i2s5xFHZrg7pEmkkYnrOwLeZQ7g+spjRLJdGgV7WaxQ6OMSThzrrr1RLoz0i MpxVbA4xc3/5Q5FWaZShk8Y9KoyJj3eKbZmT0ojeJrSbtQUTyQcqlt/mSqO7 aqauijsxESteW8uelUbzh3eILCBM+If90f8qQEGDsSud/A0xYRg9o35UioIi /Q/dvWCPCbDiH8yhUhC71eH157OY2KS4+AVLjoK2LkqW6XXBhNyzZXKjNAqK WT9cOnsRE12vNiyEqFGQo7a99vJgTPw6ty1rTJ2CFA+mur+8h4kytT0Xjm2i oHTqhxraQ0y8e3+wf/V2CrpsrUAre4wJn88O1QX6FKSvcPWaWAomnH1dg1QP UFDV+TPdne8xYbvTS/e+EQWpXLlvm5CBCV3i+mebIxSkwxy7256NiaWlT+Kn 7SioW/TPOd0yTPAHvThme4aCPhqWq5yqwMTEgTfUb44UZLA1oNO5ChPNVZ9v P3CnoDepf3Zr1WOiMixPm+dJQcyKve2zDZjIM/02e+IiBRW7GnslN2MisaHW ff1/5Hy5sv9y2jERFd28JsKfgsZue2FWJyaCrTq6ZwIoyOcwmHl1Y8K9nW1R FkxBB3LesKv7MWH/bEJa4x4FPS27o9wyiIkj9rMVj8IpaNfCwt7qYUzs6FuM TkVTkFuuprknxsT6ZMmZ8scUJJyqAUqjmGA6yWZuiKcgXuwemawxTFDW0dyi EiioXMu/bvsEJoQ4LNX5JAqa2Un1ezGJCe77tV2nX1OQ9DFZiakpTAyd3/ik IoWC7usl39rIxUTbZq2jmz6Q89P7e8x5mKiZ3CMVk0FB9Zbja07NYKLo897v C58o6PnQoNmxWUx88jW86ZBNQb2KQ3Zac6S/dprt+ZFLQaxEihnfP0w8/neM u7mAgv5o3lidRvI94mR6bDEFPQmwaDkwT/rt+lkX/jIKatdL8/hB8gVdt9WO FRS0Zn1qr9YCJhyEvDuqqiiIj7xwhZIszyhvnP1J+nNSl1pKcpUWrVr1FwXF 8g8UjJB8w/R8iXkT+fzjc715kre6fMu90UJBqZlZseT9mhi6teLj+3YKIuJ9 isj7NxEX75rS2knma7lKHnmfJkyzCl6I9lIQo1Ai+DLJwnXLHm8doCCF3d6r VUjOHjn34NQw+X+1lw8I8rxuwnlBYRwKEt0w+EOXZGUm5XruKAVdWtHXmEHG 27DdwWdogoL8x5PTJEkONst2l+OSekmE21iQeu1xXXpWb5aC7L/8aw4m9RwL tLc9P09BX3QOqb0h9U569sk8jp+KkuY6TT6S+bDMFjOqWERFg1uWG6eQ+RKv t9XjilAR2nN45f1pTHiJiGw2XUpFa2Z1bJaT+VZVsl57TZqKtIxzCvLGMdG6 471SigwVWaRlLjIh/aLnZiElrEBF+e3xqttJf3FvvxXZTKeiO/tNxO+zMZHy fGH+hBIVWfMv1NaQfpT59YqdpUJFzKjKpcsHMNGzk/vdVZOKFqhPHT7+wUS0 uWFh7DYqEnj29I5TG9k/3J9lle6gIpHpiOglLZjITNiXrKRNRdS9vbelyXq6 KRpz65cRFUnJ+35fR9ajFovtJ2BCRYKfn9zQJut1ZJe2l8YRKsJP0jbrfCPr w2PQPsiKit7dWBcoQmBiZeN2tPssFcW71VES0jDR9Dd0m5MTGa8454tsKibu inWpR7mS8XlM2F96Q9b77mDa6AUqevxDu2wuARPFib9nEv2pSLxnp/Jysv+c 8rzyUTyWiv7OZfFFuJP+2dT+cc1TKor6Zn2lywkTYmPok/4zKpqIfIZpDpj4 cF74s/9LKvL0PvvT2gYTcx7hXybSqShGfFvNuAEmIt1ffW2toKKROT3XKAVM nNMQy+FVkfGg8fFPyzCxC7vkyNaS+8s8SiqSxES326bcw01UtDZIJDJREBMb 3HLzinuoyCBhkv/WEIcod6krSPlHsp7YoaJMsv+v21pYzieDLA4tbPr8jkN4 jEQX9gnKoOwH0zeiX3IIWRfbIqaYDFIYfXGRFc0h7J0HiyNkZdBhSoWG9WUO MXduodRPQwaBxUG+ozs5hMZZtSpDOxlUlsbpi3nPJtrPMdzfnZZBKte+fPRJ YhN3XahSSx1l0FpZk5M6j9nE4PlZk2o38nljkmNkIJt44Vfxy8RPBkUzOlg6 NmxC7oFz29EoGTQa91bzvSCbWMh5O3Lyhwy6p9xtIKc7QqQS8aEFNTJorGkz 9+TWEcKm8KG6cr0Mypm1CopcM0JklV7x6P4tg2S3WXt/kxwhLtQenDgzIIOM jzkFbm4ZJvr7h2edBJehUQ6PfsxtmKimrFvivX0ZOvxqf+7SwCGyvlwHH+9a hsw6xnWHLw0RqaWppYWwDNGkjI59PjdE3PPbeFNKfxniQoQ53WiIMOzb+u+t 6TIkdWT9Y1XqEPE9Sxt3OS9DAf17w7Y+GSS+nbSoOxy3DNUEs6t9EwaIr6k3 Hq8TlEVCJSeg6HofIWxoLh8lLIskjjT9M3LrI0wGVWL4xWRRzt5PtmVWfUQ/ 60dkg5Qsom+U3XN3cx9BjZF74E8n5/f4zJj09BLOASl36rfLokV3tgZ06fQS CpYN3n4esmgDsfL19Ylu4gr/2sOVbbKIT5lrL7e+kxBrvbzPLVMOzU8Yrjp5 vIHofakUEe+3HB3cNdnrH1FMRKiuWJRlvgJV0UajBVtfQ1isQ6kdUx5JcKrd TXyrwSrieJV4vzyK21a1ocOhBbh6Sbz4PAWUn5etvuR8N/h9jQ8oLlBAb3Zw jv+72Q18m2IlBosVUNTkq+vd0d0gwrivtKlCAR2xs78Ykt8Nsjyf/cWNCuhp XEfhPske2PzOMGbgrwLyU3K3cHvTA27LJrQ2shSR7YfTf6Uae2EshFNovloR eYmKHnEa7AVvgUHDy2sU0fEAJY1Ps73gh9tOFmkooo+HQpirmH0QUl56x3yX Ilp1cX+hrWMfJP/3uMnXXBGlPH0dvm2qD7p7dXwKbyuiiH/fOjeLDIBOfFXC 2hBFJEiMmaitGIBnllY/HtxTRCP3hfWk1QbAtuK88qlHisjMlHMx+dAA/P7w rFLwhSJiO8i+EHg0ALVX5pl78xTRO6OKm9b0QSiUzi4vnVBEPejRFkPWEChV 7J3Q4Coi+x7xZXObhsD/5k969KwiciasxqN1hmDP9MAFRwEamvcc9ouxG4Ls Vjm6qBQNndrAfykzbgjSX3l7HlCjocItj3gGy4YhYfdGhR92NKSStvRS3Pgw FB4SC5g9TUObO4oe8haGoetE99AaRxrab/V1Tkd8BFg3HmUHutHQNqbFw2cr RyCxhHcMXaEhh9shY7eOjECScWF0RgQNsdZvvTD2YQRKTj7m64qioUOrS8LV c0ag77yXo9RjGtqz5u1Vy9IRWB2xWsv1OQ1J3vR64902Ai+bghtXp9JQCUX4 cf1iNiTbmcnGlpLx5G1wZNiwocxz3dWy7zQk1Cx3dYsDGwYChPqmftDQvpYj 81oebFB9+fmjWT0NKdXUrFx8kw2vhxTMJTpp6BxfrVXJGza8udDz0H+GhtKS hMZzJtjw7pa39Nn1dFRVUtV39jIHRnYdv3FrAx31PLAe5V7nwLoJvfEXm+no cZKNx6UgDryxl/nVsZ2O5Cu3f90VzYFkyIi20qcjIas6qYFMDiTy/jIOnaAj pi2NkTfEgZ4PTWEu9uR6HZ+vrxzlAMsxnz/kDB2pnSBkfaY5kNBwv7vUmY5u XnlY2ieIIT5D/ZW2Dx1x3ItqOhUwxLq6qG8Jp6Nt7/t6DuzD8HvlkXizCDrK t1Tyv2GEYUXrTinPKDrSSAla+soUQ/SBJWOpT+moPih19pMNhkcqbz6qvqGj 8PeNDaPuGOrbw1cbvKOjL9uWVoR5YZCJ9I0684GOulsWP1P0xfBg0X7fhE90 dDhtWffMdQxhnf27FIvoaJShGPrzAYaa6Op3O0roKFpOwKAxEoPk4c/0Y+V0 ZPNUp7o8FsO9vEC+yGo6Mrsbp+2dgOHu41XFkq10dOT2YdfeDxgqTSW2qP+h I8trMcdMMjEsEZtMMuyio8hLdfxvPmMI9im+HTRAnv95r59SHobb5qcOCk7S UbqLdJvqdwwJxq02Z7h0tCZkf8LWHxhy9pu7lc7SEW36w8v1NRjGdhuEhwgw 0DFsZNf4C4O4Vn4CW4iB7kW9kA5uwqCyaXumsSgDMb45Tq5qwWCzWq2RKsVA FoJWB1Z0YLjETBzwpjKQiQE33aOL1EOeNtMoy0AJV1m6aT0YSpdK0p7QGEhj 3Y5m9gCGrsV31OeZDNR+JL19cAjDnAA/OrmSgcp+1YhVj2DYND1mv1KNgTT3 yjcc+YvBaNTZK1CdgVT7fnpNjmJwHO65NbCRgXbp7d9+bRzDjd7jUQe2MNDr L/qssQkMT/80JKdokfwkbNOhKQxfmo2zl+5iIK/9bIeH0xhq68oqPICBdJez 8gu4GNg/tNtqdRjosD13dzMPw+KybI6mPgPV+W/uaJ7BwCrczBe1n4GEf8S+ LJrFsCcnRZpnyEDKzybCIucwWH5axbI+zEAnzETiTf9huPAhTjPXjEG+r2Jq pkm+90ZOn2HBQCsJj1WB8xiSE8MsrlsxEG3tkaf/SC6KEz3XfZyBFH+Latku YGiPvnF5rx0DWataTr4imfdgNuTVaQaSdhP69ZtkmVCvp6KODOS7qKlhimT1 2+xUZ2cGqtCLnPn/9+n91x3yf7gxkPYdYTRE8ukrf35qeDIQVRW/LCD5qrdl d7g3A135T1bjBskx7j8nxn0YKK1Tp0mN5MxzB4SP+jEQfrcjIY88X/WpIrkv 1xjIbWfx3R0kDx3ftUY+gIHOdidFxZPxLbL8uMMvkFx/IamQTerBMFU3bA9i oLf9wRKrSN5h+Oo4CiXnT8n77CX1O6LPdE8IY6CAm4oCxqS+7ijGf1EEA20Z Nn+rTeofvIPywCGKgT4HhF6gkflJ0gx5URZL5utVkFUXmc989UUf18YxEOW9 1MmwSQyTylONnERSr5qmb6/GMEjR3AcPJzOQwZOXq6RJv6yVG5hJf8tAVmnL X5zCGE4u+U27lM5AvZ22U0XDGC4LmWk0f2SgSVWfqp+DZP0vVKCdWQxkfE+m vKwfw/fx3FMLBANFmqzc6NmNYUvr89e3fzCQjhihkNFM7qfuyH1fw0Bs0wcX tBoxjFxTN2iqY6Al82oTr+sxJLK+9qj+ZqDxvi4fk2oyf871jO99DBQ8llaT XoThb06s29ggA03tXvI+Jp+s96V2ufJsBvIsDClzycVwM51t5TzOQH2dmz41 fsIw4yd4UJiPibrOueTkJ2MYSHLwjOVnohEX00zRJAwNVeUx6oJM9PxaPm/P cwzpzLCBo8JMZA1nLrrFYHAqVgx8Jc5E6+VWXuq8g6F5ydaCfSuY6PDzpTEr TmMo0YwZaJVnIvVNyv+pniD9cHxO8rwiEw1fu1bHsiL72/tC2xgGE1nlGnT8 Mcawz8x4bnAVE6m9t8t23UHWW6zjtpBNTPR48FhT1xIML4sqbBmaTPSiqX1d thCGiBH1wIwtTHTIT2nt1QUOeOyZrG/RYqIah4KNlWMcUO267rkOmEjbNZLn 38SB6DWP3/04yETjZ4bumjzjwMS4flKAERPZOV1WtSDfJ8Z5Y0+2GzNR/Xyp g34YB4TNDtxNMiXP153Q3XmNA95+PKf/jjGR/sidQAlbDphWW6iuP8tE1+88 S98ly4HUGEFmtyMTvRpsPfBHnAOip9/LxTgxkbHoeK+zIAfyucIiQm5MlH4/ Y5fuXzZoKH/qbfViIlWxzzLDZWwQ95Z5cfcGE1399Yi38iIbHCE/VucmE301 mitwcmZDkajLA+4tJgre3rUQe5INl+OKrp8OYiK6Dl7IPsCGwVLPk7vCmOjJ uN2SGRobSuR/0kaeMtGVr/uU/fJH4Fp+aPTBLCb6xaP0Vk0Ow1BbfgQvm4kC DPepZQwMw9HZ8bBXOUzUd7m4IKBlGNZttQoSzCf3K3TkH8ofhqa3qy9/LSHz aa/3pSJ4GDZFEdZq9UzUo1RWMCw/DH2uo/QlmIn+KznxdGDdEBgpmCd9X6mE pqeVhUB+AKJ71POtVyuhW2enxbJFB6Dn3eKWERUllCGTabSa1w9+KEdKUk0J GY0yP9Y29kPKGZaf2UYlpKl5eodfRD+IfRg1bd2thHL7XB4qLOmHUr17fJyj Smjl+rOrG9m9oO1Wai0dpIRmGmKzk0K6IV7RfmXlpBJyiKnhwZ0WWFn0KvKQ tTJq72Rkz26vhrD1hWtr85TRp4xcKnr1BhzGF/0sX8tCB58Va/rtLibs08aY QfdZaPfxeucYgwbC5YbZ3IFwFgqtqW4x8GsgvM0yG8UfshBfQz2n50MDcWfS +15YJAvVxPZZDq1oJFK382ajnrLQocTbX2nDjQSvYKHh5VsW4r//Pl8wuJkI qxUPLS5lke+XKssvX1qJ2BeujoHlLLTm2bG37KFW4oVXle6+Chby5cYki9Pa iE+yYTMVVSy0+pemkMj1NqLViupY94uFrjdmLh00aCdUulfodnWz0D7ftf7a P/8QGzIv0xN7WUhI982PBb4OYsetFt6Zfhbayki7brqigzBUefphcIiFWFzB B7X7OwhPZyZ9dJSFdO8c1N/5poPw23Wdlz7OQlbRc75bCjuIWxJd9V6TLNSV M5+r/LuDiH7/IoTLZaGWrl61BtFOIsF/0dnsGRaazdDZ8ESpk3hrckbHb46F hrU6eEe2dxKZyiW0PfMsFHZsxpvPpJPIG1/NW1hgoap/leFxjp3E/wAox+PR "]]}, Annotation[#, "Charting`Private`Tag$10451#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13k4VG8bB3BRErLMoLLOIFuFtJLcT6VkSaUsSfwS2YVEthZElpEkJCpb RNYYEY59SSFbss7Yyb5v8Z73n5nrc825nnOe5/7e97mGbHpPx5yRgYHhKv7x /+/YR6bMh82CVBikXDTk8e/KFpKWPskKTh8aIjjyWcFWdYkPieQGaXIPq26z u0FsKUVkBykAqCqWpSErz8H29AO7ZZE3IPgsUYrzVxS0rFuGz4h8ghk+iVlJ 7xTY2dUvOSlSACov0syDB/Oho7T4wcRoAZA4rxGD3nyF1I9RFX+zC0FyUrxw 4lIBaDtpm4yfKwKVxF+if3ILIWJXYcSIBQZZDek5+h7FQIipZZz9XQ7/bobK eD4og7jv7x3/itTBuqlQa2xqNSxE5cn0BdcBWGpnijLWwAWL+oHm1Too6XX3 07pRAxNMy7qFLd9hY/KE2QvmWjh5WlspwP8H2LmbeLUY1UFT5gaj5HQj9Jba njNdqYfH3w9qHDZpAUmjPUysLk2Qkp0vkfa6BUqve24/GNMEzVFnmfb/aAGl RtlocnkTiFsYFO1VbIWRW2vp/rt/wXcmX1kGYhs02b9LRvG/gO90F6Gxuh3W KjLu3qtohozMgC5b2U5Qe5XIwDnUCuOE8WCN252Q0lPuGsrUBpIuGipS4Z3A 8fCb2wS5DT4os8UNrOKeClQ7atwGYXXBdw2rumCNr+HA9rY2cBl4Matm1ANy i69cM761w3u2eh/u8zQYuNU76WXXASqnPYyeGNMgbu83xbv+HdBtf+DYtCsN 9D4UeMrEdcDe5qDhH6k0OKBnIKDW2gEvo7TUn3PRQXlvObn55B/w2d/AsdVF h/Au5+dK63/AAn69mXAagOz7kdsyzbuAIX6psCtoAN6HHAyvcO+CqO2C3d8T B0BW33Vv/osuqK27K/ypfQCafa7KnCroAqnrG/HmSoMQfImb9pW1G0YtJT/3 bhuCbgv9ldfJ3WAd5lXSFDoMX5TZSMfqeoBxMb4P+zQMud5xpWc6eyBav5Yh s3wYHht7Msv97YHvgsRzlIVhYE28VZjG3gsHklNq1A1GgH/L+JKcdi9MfGtp KhcZBREq3dmmvhfsh6QHcjPGICfrm4RgZh/QjP+wlNWNwZhfzE7X4j641vFc 9ufgGPC53JHOrO+Dk/UjbkP846B/uM0zf6QPmLKTuPj8x+F38C/g5aRBlCdZ xdXkL7y/SrPRPUsD1qWmOz7uf6GVYGXleJEGXveeBLx4/RfCttfGeWrTwNS0 rzW5/i9knI0b+8+QBgcvxtp0nJiAIb70wduONCgj7nujyDUJOiXv1LVjaHCU Ulty/sAkSJX1vTaNo8FH5oeDVy9MgkTBx6K7H2kQvNouZ+05CWq9p8pVsvC6 9oVXR49OQvv1r7WyFTSoNVCd+Mg0BckGxtsramhwqnme+4vwFKxtONuo/aAB qUrnVv31KWjztBoktdFgPJVrYb10CvZmJ8bsGaaBkXjpPpbuKSjg2nFZdpwG jbH3gGd5Co4XlXodm6JBbmhD4MFD0/BAC3vIu0SDxy7B5FtvpqHsEweD0A46 sJJ9JftOzkCs1sOL10h0qFV+Kffo/Aw4eWqanxGjg5/BuxNCOjPAVfCOIipB B8bQr2o3bWZAQvOtaMkBOqxtTlj8jp0BUedqjZvH6fCVf+2eS+oMZKTdz+o/ SQeX4zsf8ubPwGarlvmtU3SYsyM/v9Y0A2bTBr0HER3+duumNDLOQvFg9tpR dTqkrphm2XPOwi/NqGp9TTpY8jh83S04CwkBevvtL9FhUDOwVvPYLGx6yBc/ uEqH7sKS0RqLWVjpPnJu1oAO0e31M3edZ+Hu25ywbEM6GMx1rOx4OgvBvHlf zY3o0Co9z6IaPQuecgKpn0zo8CNKUrr0xywUKRRxxZnTITD36GGTP7PwtKeQ cZsFHS42nVHcHJoFvcZYTl1LOlTuNFJX3pqF8CjdmD/WdPAWs7raxTYHB1a0 DrHa0gGByw33vXOgkGm3LmtHhyKXUKuvh+dg6oiDo+49OriHxTrqq8zBrwBn GX0HOpzMSHVb0pgDH7WRs5cc6ZA7VBlw1GwOslhv5fLdp4PTtuaXLQ5zYBjl LTyOW16o742T1xzIv7vJmuNMh/Trq5+yIuagXNQuQMSFDrYOzDmXE+bgs3Tt oSrcMsHEwqnMOSAXCLiYuNJhNJlUTimaA0XeVesp3B8rDn0/WDcHbN6zPE4P 6WDWp9Rc3zYHmeciPMdxi66rdVr3z4Hyu4ep+m50oPHp9u+anoP6NunkAtzv FEzHU9bnwEn2lAeXOx2MtO/NqbHMg8bEaTkj3PzWnmvDPPNgfa2iPgZ3x7MA Rj/yPIwlG91oxh0RF8G6X3Ye+g69pW3gvl6cQKhUmgczaS5rQQ86EP5k8d9R m4fQXq1NedxNC8WijNfnwf1lf5IS7hCuepm4/+ZB0c/UShF3wQmhPG37eRA4 r9d0APeg8T3Y8JiHDMeap9y4ufzK6j4FzMNUccXzcfx+p9KJ1/Uj54Fw3WiG ivtuq3nv9qR5KPjPpcIFd9h6vmVOzjxs7Fhml8FdLMo6b1I6D3PmFb+b8P2P qht57W6Yh+z4Ulkb3DyOGTu/dc2DTm+L4Cp+fhDFEGY5Ng8TSv2f3XFbYzqC fMvzENHZNDaNn3/EcOLHiu0LYNnn22uAu2z3srwjYQEe2gy8zsPrN3FU/Zsw aQF6P/ziZ8Z9zmey0e3UArCGzn71xutvnwqGkuoLsEWZHMnA8xH96+Vgq94C JBfv5mp0osOMyPFVOacFsFe67PoXz5ug2nOfnscLUFSv9GMEz6OafefuIMoC COzpO99hj9ez6JHocMoCWJkNN7/G81w30PT5FXUB/FKJG6Y2dFhgFTtxpnIB CEdCHojj+de8UaMZ07cATa+2fH3xfllZ5Hygw7cID7UHLhTepoOYkOnWltgi vDINFDvwHx20VXMD0g8vwu+65ORQYzokhRm8Y7m0CMf5O38p3qSDjlxcTYnP ImTTxvp2XKfDI735q7YvF8GbRVZaSIcOn7zOd+97vwhZp5MdpK/QgeHH2Ixz 4SI0aSnvJ2vh/WCpwH9gdhE4LXbphJzD8/bCN7FjcxESTDkKtc/QYXt+u6wf +xKsmF122Q50MNzhcY4uuQTRa8/5rijRgSW+wjbSeAlim+dEreTpYNp1HWP6 sQTFnmatafz4vHxLt3P8swTi0XclWvfQIcfQXrBveAmORO5om+OhA1Onv1vh tmWwFGtwIHLSIbGj8IjjiWWQvj+B9TPSYbiNlNIbvwxpWUmU8lEahLxO19PK Woabh5zMdYdocFxXaUdh8TLkmF1W6qPTwL/1munrjmXo2Bpg7OikgVSLn6AW xwokNO7eb4K/H6ybJkIL3FaAkyBm+COdBoRQN5D0x39vSk1p+USDwsvMU+Hh KzB9aiCsOYkGbI0img6ZK3CIl8M0P5YGn3/q7JAcWoGRggEGYQoNpr5/dQu/ sgolHysnLKxp4Fjla3pPcg0C3zIbKojQQHjwAvPSkTUgfN+485qfBvWMu1I9 0Rrs1Uw8NMdLg/2IMhtwYw32yM4Lv2GnwZ/C108Sg9bg35ediUrzfXAm6+O7 P9P473l7PNiS+oD7bW3nua/r0GKfv76XoQ+yHdiv7VX/B4yrSePkyB74EU10 S9f7BwU/zeJOB/bAcCX/+7Nm/6C2irjzslcP8O+T/mv7+B94CJrvv3anB3zL zvuU5f0DWa3vUf2yPaBHePzFWnQTfBbO5xyq7Ia1L7PE4vVNeHdX2W56pAvi PGzG5fUZkH/Vs+rhPZ3g/X7j6sLENrTttNrzz27twNBCQ0XuTOgEZjlSVtsM Es53H16X2YH4ZwQVcyJ+wuBipB5bMTMKI4+bVDtUg8aQtVeYIwva+T1AtupJ CWgPhh4QFmZFdwr1k2O7s2G8wvRJbTobqjQojhg2eAciLzusQ3LZkJfNpUr5 3Fi4bqyte/0bG4oZnFmd4YyFkhVFGVotGxq5XtXbUvsWwg5xty4PsKHhU6EK EugNnIrEJCX52dGFGOOUXefDIdhasPGZHzvKjdt1jvnKM5Dlbhc6Z7Ib0dLs etMyPLFhyrD3a/PdyOBOVI/px0dYLOvyyIjNbnRmVKFSWfsJxr59b07ww90o kldeaOCMNza+dONC+8vdyE2RreyeiB+W1N1jb1W5G5Gndd6EfaFggilD2Atp DrRy6JK1BCkCaxVfEu+X40Dx75xvCr6MwILimAOPHudAkllDU6nbIrG1aMnr f85yoEfmJiph9Eisg2I1KmrEge6n0zSDYt5gr+5PclFDOFDM9UjvY1sxGCss 3u6e50DKu27lTX2Lwx6ekWKhrnGgV6a/Z+Xn4rDhczczXmzjRMzZwnknpOKx 8otla2c5OZHh1tBq2Kt4zF2H8uqTDCe6SOKJe2qRgP0131/lcpsTMVq2Bl3c noT9CNaV4m7kREW1ZvwN3CmY0ovnDeNtnKh9Tss3H6VgKS+/OVd2cyK7yp98 FvdSMN8IcpnrOCe6x/9hee+PFEy4aengNCMXOvqV6lLn/Qlr/1NepSvMhbym xLtthlIxtUnDZVFdLvR5oKFR+kk69o7Hp+WxARcKe3ryNCSnYwun0jK7b3Ih jzt3hoUb0rEPgesWEaa4Rd1kTgtkYGuSMR27HLjQtvt855dzMrDPpj0FM4Fc 6HjbjjmnjkyMq8PEs6SUC7kFLxqzbmZhd7f8DQQquRBb3v3LmhzZWJFE1tGH NVyo1Loywkk4G7N6wDB5uIELrbEw6TirZGPlhLhbSV1cSI22/uq8VzbmfKlf JXiJCzE/JHBILWVjHeVm2wwPcqMzT/cOHmnLwWbOdPJ7yXEjv+1lVU70HGxn 2eWjHxS4UZH1A9eYyRzsOKZkMXySG+27OOqQteMLFv6N66fTeW7UK3yuquvo F+xyblFUkDE3Ord1ROXiiy/Y3SMKORm3udGVgeiXJ6O/YI9ykut/mXEjf41k LZ6kL9jnrLDNPTbcyIE1UiSk8AvGmm5plujKjRKlRM4GD37BqpN45ItDuZFC 3MnKwqO5WK94oDrtFTfaP7bMeFclF1tM2DJliuRGdteX0D+1XEw8fvy1eiw3 2vMvgjZtmIt5vytdb/uE+15u/vDjXEwl0rZmqpwb3QwW2SNWnYvlPa80Ji1y IxGVN1ZCqnlYikb9Xv8VbnTNVmxuSTMPi2Zvbp5c50aVKUVOhdfysCehfRe+ MRKQoshk6JZpHqYVtSarx0VA5Or1HJ8neVh/svxW0AEC6t/3SOBxfh7WZnWi YE6WgNJojrqbxXlY7QGV+zcUCGiD4auhZWUelp6pOSKhSEDMZPaNjaY87GH+ 3cayCwQUEB/AJjOWh3HUxLxfvk1Ap+r8/77jpWLbAhJuGJsTUGiaDNsvfiq2 oJFKrLIkoMnoiu9TIlTsT0O+f9g9AmpKVzadlKZiie3N9w55EZDBmPuDFWUq Fhn1Rzr8CQFJHvDlDzhDxQINaQNrPgQkl/y4YccFKnavd1K/NpCAFI7ERldo UzGlYRZ0J4qAJGhxF3RMqNihFM61urcE1HDSdlj1DhUjWfPlyr8noIsRtUzi FlRsx5SY1GYSAa2p+k8l21OxpkUVrjdfCMiVqrmz1pOKVeSf/75FJaBS9zY+ 0hMqRnXT8r1bSED3OV4SzH2o2Nt/N1aOlBHQnYDJHdQAKnZ3xwNaQwMB+RFs TB68pmL8InW/138RkMgBYXGWKCrWcFKoUaoNv/7NvuTAaCp23Laq2LuLgG4p TvGYvKdi48/25WX2EpDWD3W+7Dgq9u693eduOgHpuc4xzidQMeYW3rfHRwlI tkOu/kIKFSucsAq785eAjk5fKDZIpWL2zCUBoVMEVE3LrDH8TMXaFe8+HF8g oH+8njpyWVQs6QNV9902ImrYJ+IhkE/FDApZL9VvJ6LzesPWmV+pGHurserK TiKSnmP5eaSQijnv3HlEh4OI2rMseDmKqZgU+abMY24iWr30l2BWQsW6lTLJ n3nw9Q5JZqdiVEzVXp+LWYCIYmJN/+0qp2Ir/mk7jwgT0bs4uXLRCir2OW5r 04RMRHeaLuserKRi/327thQsTkQzA9LlElVUjKctebJAkojUI8R5CNVUrHZq fXBYhojux33Um8LtyXKlmyhLRI4Y3+tvNVRMXjSxBR0mIo3Urk63Wio2eGrl u91RImIQNDoiXUfFonS1yqNPENGbhs1Pdbi17n0oqFEion2eMho3v1MxhoCF rIXTRPSs97xIL+7c+Isp5DNE1J+Zf1SnnopZFsW811YloiOpw6/zcQu2z0R4 qBGRl7+iNscPPC/TqiEpGkRUtW2PlR5u311vnrVdIiLOlqHZF7hPik16Ml4l ott57AuFuCeUzzjLXSeiYtM599+4P+i9tjHSJyKZ1/9eDuG+7jBmGmBIRGnM r1X/b5bA04bUW0Sk6ijyrh13UcLLqwP/EdFGCFNqAW6H4qGLXGZE1LYv5X4I bvHfiui0Be76+8y6uDtmKCesrYloy/in3W7cwaz9spF2RGRIEcj7/36Q+HGJ SgciGuWqGrmGe+F0oNDsfSLKTJDn7sfPI0W/l0fYlYi+bFUqm+I2clRg13TH 6987+qAVP0+uID+mh15E5LvOWHsSd2Vi51riEyK6yemu8gKvx8MS2blfPkT0 pDV38Dder4Md3mObfkS0tp2/moA7nO1AhwEF94tNCxO8/hf3P258FkpEAcaa 4IjnY0OlpTrnFRE9fnLr8QM8P3ecPPLYo4ko46OthW4Z3j8KvXnSsUTUuOS3 /UQpFWOdQ9QLH/D6uOkUs+F5zHJkzn/ykYj+i138HFJExXwOW+XHfiIiZm/1 VeVvVExvtj6/8DMRCZLUgnsL8Ps5vPy6kENErpwns9epVKxRfuErN5WIZBOT DVzzqFj8jF6BbAER2RrRHIe/UDF1B8FCS4yInJoeSrzH+yviXvK37noiQvyP yjw+UTErOdai1QYiGsv4tj88mYopT9sW8TUTUXSmwdUPSVRswF6h+EoHES2b sUuH4/0ub19cUjlIRL0ZnYx/8XlRZ9tS9vkfEekpEhONn1GxmIPHy+sYeBCk bTp/9cbrPxFVPszEg0ov5lOZ8fnEZ2tcQWLlQc4uf6lP3KmYqc1YZTgfD+pO 62v+i8+3DautGk85HpS4slyUrIvvT9q09o0CDxpGdi8v6eD7G6uspR7jQdec hZ6M4vNU3SqwbuYUD3rJHtj+Tw3fnyVvvdlFHjTAzROarEjF5CwONGjd5kG0 0Wk3BgEq1mslci/djAfd4jRFSXx43myJXByWPKjlQ+K/0wQqNua4frXRngdl pBiFau6iYgme9W1XPXmQUe3Ak46lPGxPmE2PXiQPOiadSqtszMO2itIm/vvJ g5a9lg6ddcvDMrD3lLImHiTieob26H4eZlT+Sla0lQd5rltJZtvlYQU1Hg4D nTyoU503Zel2Hna/WXPBfJQHGbqRepg18rCRkb/r1ky8iHOHuaXa3jyskXCQ 7YEiLwrryYpMSMfft3Z2Y2+VcUfF3RFLzsUyajJqyoEXuQ55er/9kIuFeB72 5brAiwqvtfY5v8rFtIaP/0vT4UVaN2Slfz7Mxb4XnJnut+FFLOU/XQXP5mJV /+m3XHnHiyzbMjncG79g3zK83x5k4kMZCtNOV3/nYB7bZK786OFDwedL9zm5 Z2Gs3e4X7XP3oP84axKsB9KwoY/k8Peee1GrV/nvNeZkLFxq3/YC3X0oIYQt Z7ktDguNvltzm8SPrAcSfepcojHD8FsN7CP8aP4Ykv5IDsNWVJNW35cIoNPy xTa/BX0xz2/vfSrLBFCG+JWt4kEfjEEhevdYpQCqle0zqvzsg+0UeUFWqBdA LpW/w+RP+2B8qw/VK38LIN2vj3L9TbyxI+lab0ZnBNCRzm3kE6lPMHvehZOH xQSRr//bO9GZ7tjA0NmH5f6CiLRe+SBJ1xY7+74hXiZIEE2EPettfmaDfTAw /BkWIogO1sarx1KtMeN6R9E7rwVR7+pplV38Vlhn1ocfTAmCqJNtu6rKqDnW 7LFJOl8iiJ623M09p2qClXMX1tUsCKLgK3vjMRNlLP70YYGft4XQuDOHyWy1 KZRrs/qsmwmhDcOjI4pmd6DfZGBc2lIIXfkTo7nKYAZi3q8L/eyFkOgEM737 pDkkVq/eQB5CiNdvpfJkvAUkXS6P+hIuhDIc+JMv37SFlNvX+KJrhJCw+JWy 9C9OUOt08FHtdyFkePm09s9VJxj12TG89FMIxa2HSn2C+yD1MT/vWqsQ+ut1 nf76+334NC6gu5suhH7np0io9jhD6v3BV0/WhFCUrPLHjUUXSH/2gNvikDDS /3biz6lFd5hQvuX9TF4YPV9QfFR12AMOLqjOJxwRRqc204M47T0g1ZSnjaYo jHxG/IlDQx6QAl+iDC8II+cWdRTZ7AmJqzMi2ibC6NA+ZQOxD48g2s5W9thL YcRywrOQn/kpdIpff38tXBgFqJdVO5Gewr7uU1xOkcLIr+nYSJrSU4jSYJvL iBVGZkkFz8vsn8JrydQ8qVRh1K7po+HR9hRC6SPKghXCaOp1W5p8rDf4697R ZFoURh8cZNfpvL4Qf7nbyHxFGA0rfvTXlfWFInVd+5p1YTR4/gfzxwu+MHda 7WUQowiKzBZn63XxBSOJA7+JXCLIOZnbPq3NFxSW50zFD4ggzss25VXBz6A3 ytv9/G0RpLvrsacu3Q9Ww9aDks1EkMaPzbzHi37AQ3GO3WUpgvzGzvg/3+UP 6k/vlv60F0HZucrSxw/7Q66VBrOepwiSFpBdYHzsD4FKhLC7kSJIMUxr2p7n ORzrjvvk/1MEKY11D85JBACXrOVKZhN+P3JD2OqxAJh4LKvW0SKCcs008gdV AyBR7NugVKcIIh+JirQ0DQAem1aR78P49SsPRKRiAmDNk0mTmYGEthzi375k DYTRpLtO0dtIyKzxv7KhPYHQ3lD3RpaJhJqa3A+K7A+EHFLoqB4zCaX2P2A+ C4FgXSnol8xOQju1HhxRdwqEP2zHyy7uI6FT3tvKLFsCofrom9FufhJS94nQ 3NMXCLm3NjgdBUnoAKY/njYeCKGZ5cZvREhIbTcxyn9bEFy8dnljbD8JubAb CrPKBsHXaMsTQQokxNG+IanmHQQfK+qNRY6S0FRty65bwUEQPiHr9+UYCRXK /W6+EREEDiqLrV0nSYhdgV+HJTUIpPqfOh0EElJdCQ1SagqCKOm36T81SSiJ 4Qw/w95gWJi/kORziYSE1UpaEDkYLpfMxSheJiHtfgcBc5lgYL6mEZykQ0Ji +UYxBsrB8MBz1drrBgnxKsdenzQOBp1GfalDFiQkhB0l97wLhow3TKQBSxIa 38Ox2+RjMOwyy9zzxhpf70J+fFV6MJSuMO/cYY+vV2lCOFMUDHKi1KFuZxLy SNKfn/sdDOwPeBKCvUlIhjUB6bBSwBJKo8/6ktDTVmMhSS4KVOyyDVt5RkLr a5vldF4KuL+reGoWQEKPB6JyWMgUGKtx+k85lIRutI5LiByngGqYsMHcSxJ6 dviptvgpCnww+n455RUJsaxeb+ZEFDCYJQNPJAmJa98+Ga1OgWr+X0ITsSSk WV759NFNCogOefLGvyehUrHNkK8mFPDKlNptEEdCef9+Bv25Q4Gjqk82KhJJ 6Ex8T2yTDQXi7eS63qaR0H0TZ8nX7hTYPNHVfDWdhGKP78tjeUSBG4z+33dm 4vUNT6+685QCXJG9BfdzSOiqzdWCJn8KPC6lRGkW4Pc/cXrK/xUFxntKw1cL SShwaY/yoQgK6K3PhyYXkdDCrR1e36IocPC4YQBTKQkxCTYJvYqlQOQ1yrPs MjyP9gEfut9TgNGx9KlJBQnNGe824oynQEeahPu3ahJS5DlUIf+RAufqbrhY 1eLrtSS+FEmhQMZwsNOe7ySkI/2+d/kTBZ6R563v/ySh/KAWRfN0CsyoSFiQ G0mIP3zMei2DAkZGN+40NpEQ8vL8zy2LAgqR2M0DrSRkrFLaf/QLBWJz5/T/ tJGQgW1lmGMuBVia91/3/01CXVLt2lF5FHCeNrhy7A++3sMQqU9UCvSxB2sN dJLQBWO/w4n5FNCQwS6+7Cahl316HgFfKUBVm1OFXhKSY3iz50YBBcjm+89M 9pHQlcqhPcRCCgR7G5x+SychSfl2Sj7u5fdBiuoDJDSsxhR04RsFTItLji0P klAJJzO5FHdD5+zhpGESGghyvS1eRAHFFXHZa6N4Xkpnbt3HnchrILNtnIQ6 slml0nFzHQmSyPyL95eZ8a9fuD2ulIjemiQh3S5fGzruYbtZYbZpEhoU2MPS jftqkLhAwQwJ/ZXO+FqGuyhFf4/FHAnF7BoICcMtVR1I5F3A845px2jjfjVQ zFmxSELV2oFzi/jzbTLMsjkuk1B8kWzCc9zW+N9SkVUSmmVvw5hxt53S3/5z jYSGzvEZOuD7RTcCGTw2SCjTPMinCj+fNJfiDalNEvJ2+XmJGTdf+MxK+xYJ vXB/8F0BP0/vbLFF321ktMtFkE0TP+/JBr1ZBSYyErW7Sb6M18NgImCStp2M 77deGPB6Ve4qHgthJqMV4x28Ang9o1XF+sd3kVGC4ymFyGwK7DDV641iI6Oq l1aeJ/A8ODwO6Lywm4xyqqt2VOJ5USucbo7nIqO8x7aC8WkUyPkt2niFQEby 7GM/5vG8CS/q1m8SyUi5ZJlRAc/jglxRheEeMupKkLvgnEgBk0vTGMs+Mmrs C3R5iOf5u7VoEZWfjER0up2sPuD9nfQ8lyBMRm/Gq3gJMRS4JKCb9F2cjAzE nOYeh1EgalC29KYEGVUs/dDZF0qBwXSWrglJMtp5x801nkIBT1TExXmAjCbn mS/4PqfAZ3Mxz2uHyajdNfepvxcFVmT/RQwqkFFB2M2QD3h/q660Zz84SkY8 oq2Nn1wp0BUYOBJ5gowYg92kKY4UYM2a1ek+TUY3duuWRZnh/etWb2cHZPRB S23z6G18XpxNer6JyGijK5BWdgvPX5tBCUmVjCo7zv9M18Pn3xomba5BRnL1 Gr8a1ShQoxrCMKVHRp+ign9dlKQAgcNS4LEBGbnlc68vilLA+PeZ41yGZBTZ M5IaLkyBJatFG4VbZBRyqKbtIz4vJV4Y/Xa5Q0b7bnH3izBRwPePTMbWPTJq 22oUdewKhjP2NTe5A8go1eS57tzTYFjrGLtQGUhGtMHpUkuPYMg9x67gGkxG xAP5Ck3OwSCx7ypLzwv8fJIs7Z0s8Pld2ZmbEkFG/5gcpZm1gqFj39RulEhG V3sGq90IweBQxVNqj5GRxe9Kc9bXQSAjfyKNXEZGrm5/WSvw99lA9I2I1nJ8 vyde9Nr7BoGewztbpWr8+bKu6n24HwTKAlL7mH+S0c3RRmvbq0HA4njKKbaT jJgt05PzWYPgvaCp+I9FMjpdpHkt2DkQlI4ckDVdJqM6rlo2R5tAaFVfOLGy Qkb5Tcq3tUwDgcXVT1N8g4xqRBn2jlwOBIdfqU6ejKIohsFbMkMmEJDffOlB TlGkIUO4E9IbAP3TvrcoUqLoQ1983DwEgHhFcoT2TVGk2TCqxDnhD6GHymWa S0QRh3dI7dLuZ3B3fvuvOhkxpLE/+XxZ7lMwzZ4jBbwQQyz2PvFeO73A1vva hsZLMfQlr6+B/68nPLiW+5v9lRgychMJK2zwhOeLD0JCI8SQhPT0QcYIT8hQ XF2PjBVDrIL69C/inrBattX+MU0M1Xc8z8456wGhzeyUyhox9O6y+EDiUzeI TrCz9KsTQ8JF74wLzd0gwbnh3MV6MZRiklzaqu4GVL7QtfoGMfTfd8x9L8EN ug2Jli1tYujYx/DInviHIDmw71z/gBiqPMK6YlvlCvK57sKJQ2Io4a9KQscn V1B61rVqPiKGItruq2iEuIKWZGzW2LgYaixR8gd9V3CyIQnPzoohr1uVCs5j LuCp/HQ1Z14MzQh5y3I3uMCz3f2tzoti6ADH6rvcHBeIykwIWlkRQ8827Emc ni4Q/2S7ReGaGNqlFKNT/Z8LpF01P+u5IYZIEn2nfM+7QK5otZDKphiypTVM XJRxgZJ5idWtLTEU+pzRhYfTBf4H+5/wLQ== "]]}, Annotation[#, "Charting`Private`Tag$10451#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlmk41W0XxWV6kMrQpEec41QUKU1IrLtQpkwRITKEEKlIUoSEVEhIgyel SaRSMoQ0mGfOXyiVeT4cMqb3vJ/29ft0X3vttfa96Q5epke5ubi4pBdwcf2/ 3r3gwK/kdEWDy0rh+iZO/dRAM7CgHcMex8JXt4WP4e+XghAa7SzGz6+hSqb8 cLfoqjQfLQIr7iQdulkXDg91n+OT0regKtvlJhKaiIZZ1ziW9FMIKv6+NjTw GP+0/pIdks5BdfaMytMvb9Fc9N5nsDcHpy3+pJ92y8azR4kfB17m4mTAfnOl Re9geNLQrl8zH1GfFbRDjHIQL5gb3+NSCC05ucnnJXkQu1PKPUoVw+Tex5ab mkW4X57sPSBdhvmwcZKU+gnjiW82tEeV4T9fFSP9oU/Y61LRUT9dBrEY3oRT 2z5jkGfSPLehHC2CO14ofPgMFXXDnRGXK6EwaTJr1vgFtS/muGVHarBtjCW8 4lcpxCBou0ixFrccw6au0cugti5u52WnWgiJCwhFHCnDtfGnbP+6Wkw8rNPl /1aGbTFNRx3S6vDWqKNKubYcgeUKekp2DZiL9I3n/a8ST15mr0u72YD7q43V B6lK1Cfu4Vlb2YAlc1JbjyypwhoXy/yVqo34JlUfPhJQhXKeUEUu8SZs1bcS eW9ajeXqrWI1X5i4Q0pK4vtqkPEiotVDsQURen5ja5zq0C/WH6Vn3wIFp7qf /H51kPXV05CLa4HIFR3jgit1+G/Xwvsd0xz2OBWV8aoOsWVRzlafW6FXKpCZ NF8H347ro/tsvkHv5gaJmmv1eLWXlbL2+jdEf5zaKvNfPUaeGpvxFH9Djnqy hOHLerieEM0ukP2OAKmV4koN9bD6Exuwnf0dy2oUbdcva0DywooQUe0f4NuV rScS2wAN9XM2QbY/0FCnJylwvwFtnvLbR878AHcbrb31RQNW1l/prnz2A7Tn T0dWVDUgJtFAN1zkJ7LrPqr38DUiZG314r+tPzHU+SVJyLsRLqi7NXiyA8Y9 JaEPFJvAlfI7t/VKB+SS9/+nptqERF7JtvKHHdBPGnR7q9mE0jJnqafMDqzc Ov7IzLIJcmZzKUd3dsKoNWlQOagJva6yz78v6IKtW9XuvPImBFUYVFWt6oJW 7iP96IYmrFQ8OZy/tQtCmdFuem1N0GHnb759tAsajksveg414el50zcWZV1A P1niv5gJt9jzBbXR3dDW13mcr88E90RKe+HTbrQq1z1imzKRZFHK9aK4G9az fH2iVkyUS4prXh3vxtXXze95XZmQf/ykRNeyB1+T+x1Lgpn4JFjdq+Ldg46Z W1t3RTBh48EWlIvsQd6looO3rjMRpaRhwJ/fAz2qWXrRHSYG8xpqi6V7cdPD 6sz310yESk2PvlTphbglO/FWDhOSF6XE75v0onYN9wqNQiYM9h4zDwzpRUdn 5H3NcibSa+e/qvX0QvXGFWi1M+HZtb4jK6MPZvtsJXbwUfhh+1XgQ1kfUre0 LGcLUjjQHK5Y1dmH15En0xMWU1Cp6Dnbtaof+z3OkMQVFHhepoosv9wPFyc9 5XNyFHw3mO+QSenH9TUyymcVKPQ+4LVRfN8PB59e3iObKVTHOz7ey+7HsN72 xF5lCokBdI0zdgO4SuRs+rQpCP2udQzxH8A765s3lXQpnPcKirh+cwALz57I dDSg4ODQ3vi4YgDa5JB4mCmFxtZrM6+7B6C6sTXZ15zCPnMNWtGCQZxIeR1v YklBQeeue7PyID6kGRuUHKZw74NBTKfpIPqCI4wcjlAQVZt7yzo+CC/XBXt7 HSj83mjNLfhwEBmd8TffuFD4IC5xS1VkCG8Mss4fOkFh29XSAm35IYTt3v3V 6CSFR/x+nSZ7h9Bn/F11y2kKUdPMTW4BQ3gkdjk67wyF+ZNh5r4JQ0ipKvvk cJaC9+D2c8GvhvAiMzvgtz+Fg+1xX5J6h3BgPpvVcZ5CqaXW4COeYSSwrPvU Aymo1bNFX0sNQ3tV9ffQIAoZ+g+UC1WHsRUWI+8uUqB9Nj1cYTYMZQZRbQmm EKvBHUJ5DUMusq6lN4QC37uXTzoihzn+NBvrDKXQ/0xkfLZoGB2+xnOpYRRs 1hRJCLQNo/O6tbz7ZQo1d72wdHIYC/7660qFU9izQvooTWwEIuGTpws5nBVd HamwcQS9wxKVhhEUZIUuZKrojMB2csPxSg4nhWxkajmOQPfoKV+VSArCf9pm jS+MIHBOjf8GhwN9o+iHb42ACqra2cbhsRG1fceyRrDu7YktS69QcDo24OFT MwLNI54L1ThM/UqKvdg/Al7NJZ3GHF6ruLbtCzcLxQp5LeYc/t4/N2wgwkKP wvNFehxOfNy4oGE1C88k2hM2ctjE6fnSQ/Is6C8tvcHFYSF6qGy7CgtCGq3/ fuS8X7orZtMFbRb2Pa7+48/hMMt7yqtNWfi+9Vv2Gg5rnU5Dvi0L7mmX7Yo4 /XFHv9tn7c5CRJOh0P/7L0r7bDRzhoWGs6+rqjj6XCipt7gVykK33Y5CcHhX R7udSgwLNkaW4w84+s7MD7pQd1moX5IUPMPR/92qGS/fZyx0uAYEanLYd8c/ fsuyWdggE8QVeImjz3F6+IFaFsobhjurOPPMjFCMHmtjwcra+tRPzrw9U9US Y/pYuG4/2NrD8cNAm/mTGu5RHBQIjKni+OfZlEOm55JRSKsEC6ZfoOC69MS7 RZKjmOVNfxnI8VunfmSp/vZRWMcF9M5z/JjiklDbv3sUy7tlUtI4fj0S8rA5 wnAUpmz2T30/Cm25Bb0lLqMosJXQc/HhzJtZwXI+PYo1Bl53f52iYDnWPMV3 cRT+4uxKE04+GtezBbSSRjF9884yYS8KlYmy64sqR8Fe8OjoGCdfkVnblOy+ joLbl1m82JmCTu1u1fmuURi/unpT2onCp39sdHf9HUWE8/MuKU5e832jj71T GoPD6HHleAsK/rF3vS00xuDZmrDPkpN/lYxnZ3/rcfhAkP2SAxy/dn2K2OY0 BvnaJ3M2hhTSzaafZsaPIWrzv9QZLQoeJ/hfGT0Yg0bBnFrnbgobosRzh1+M ISm5UWMvOPn+uLFcoWwMm0iI64AqZ39sceh/MjuGQoVk03xFCtdEKjbcP8JG cGu0R/hyCjnKq98YerLBSGi3EBPn6GvrhblzbFi7T1nFLOHkOV3czCKBjZlz N6Y9BTj7Udfm/KJqNhrE3tc8m2ZCM2So5qzaOEQLDJJ2tDAxNbHEx3T5BFbZ O0XJxzHBWO3w9y9jAhuLj+sHcv4HQ62siHSlCTxMfhldHslEaqzlPYH9E5Cp OMDed5EJ0033SwpCJrD40/B8+3HO/nfdskp+dAKr1bpt47SZcGg1K+Sp/I1S 46ncSyNNELr987j319/YKnHcn6+/Ca+sPCXbu38DDWyBwM4m8LRcPpu7YBI3 9upW2H1twsPm3K3eypN4ZHrj+NfiJnQ30Z58T5mEmdZdj5y4JrjVDkbnnJ1C vGSX05VtTfD+HOrgJTuD1d9jZSRdGvHyhPCBlbp/UCQYIPKrtB73z7n3b7bg Irt5gw7pj9ciOHnOZHxwAclXre9bElINroYfJN+fh1wS/bguZ38F1p129jPb wEcsuaslY/8pRedEwsGF7/mJuZzCc8Htn6HX5XY+1luAzCa2zDe5F8OwM1pe SkqI8O77N7F1uBD9Hx2CStMXkh/PFfNvUHlQFGWu1rRbRG672+8p6c2GECbs 29iLSbmzq3xjehb2DVlNypiLkLH2b8to916iudhpgZWCKIm8YS78lj8Db8I/ 2dImRMnw4x9az6ufwpnP50d1tRh5YHLB8mhLKhxPnnsjnCRO+qJXlvU/T8Em F/lqA/ulRDLzNl/qZDJqxBQW+qguI2LMY7ON40nIywi+rcCznFhGSwVZTsTj 3IINxpXflpPwhWP1yZo3INTmr+OZtYLsXai9KVspGl2P6HHJAStJmlteKG/o FcTJSfDmmEuQuadvPz/85zKik5xL7GmryCrJI/s3B4TAKu5wtXDPKhKW/uhG VFgQprRSp5ML/iWzO83M3e6eQ0fXHr/iy5IknylxSMn8DFLUlf6tsl9NkvkL due4n0L6JR9Rl41SZGW/WHbcoRO4bO6ozzMhRXZYefhFJrlje9v9p5erpMmA cp2h0LgzRBRdp17USpPV+YxslU5nDAYq7mtukCaXRj/WeDc64yEjr1OuRZq0 eNRP8LxxxlL3Runybmlicd3N+LGvM2YCePT5uWgkv+6eROfsUXxduOODjgSN cL+vq+RdfBSJ62+nV+nTiOic/XIvI0eMs/emhuynkbkIgcLfxBFGBWN3VI1o JPqjp3DEFkfwH9CLSjWlkaVT875VyxzhEzDtdv4QjcjeqXnT2OYA0xoLuY0u NJIXoLaJ6eEAYZ+lD6KCaSQ22DDXK84egUVXE/VzaOReCT3Ui+sI+r8VxU3n 0giG0xZr9Nnh4Cw7+nE+jVgYhqlk1NlBYYdVBE8RjegL0D9/SLFDc9o6/7wv NBIn9d0lS9sOWxIKreUbaeTBq3Hu99ds0X18VGrhCI08Gt0cwr/xMPb/a55a voZOlFVUaEsTrZDYqVhkvY5Obol27Xx9yQqd6QKtg7J0smAmpdb2lBUCSL7I Enk6edDwQq/V0ArPjzICDijRiXXavTBXfivO3Ttq2qZOJ+3stdcrzxxCidY1 ruGDdKLiNR8e4miJ3Z4l1qIRdKJlHx4vdPggZpr79n6KpBPV8FKfXQYHkaUp vOVMFJ1kt10u8Fc7iHUSJgLfrtOJ/5yvs+SqgxD+1JL1JJ5OXifm8bEpczRL DC8iD+mEzGx+12VujhOflxZ5FtLJ02/eto+tzJAs6bCmcoJOMpQucNVdMsXO rfKKDpN0MuO9vLzEzxSNuuPKU1N08nCJZ2KJuykEzoTpr5mjk5DzHgq/TExx ou7ZyQBuGaL+bXVMsJQpSBi7SGGJDJnyF9F1zzHBr5HQw1flZIhBCsMka8IY az4+jje0liH31pb+LFlkhGqFqYdtNjIkRj+2U3/KEH7xOq/dbGWIjnp+xPdf hqg41lcTZi9D8i8tjN/0zhAnReQFC11kiPjb268CHQ1ReDjj3KbTMuTzaEpr Tf5+WE1lHRG5KkN43hsND581QPTG4g31BTIk09vXS1pSD09UrAWDi2SInd/j zLMCeijUHO9RKpYhjB28F36N62L40LrUmM8ypDvqRnx7lS70wyKlTSplSHWK QWZYkC74202X1n6VIc90iUhQrw7ORXf8qRqXISyTwfrW4n1wZvPWlW1gENP3 +/skkrVh+0yr2kaBQQ4UK3z/eV0bB+1DK0Y2Moj2QLBjVpA29tbwfFmmxCAi P2S5zjpoY10ad54957gsYVqlBq7TRpcDV+q0JoPw8N0qPJepBaf6Wb/1hxnE 93R81FyFJhxejtEirjMIV6Sk/hfpPfAIPjCnF8MgevoB4kGie+BzIIsSvsEg QTdX/Nbi2YPwCZ9r0fEMkvChrXukezcyVKdnE+4yyEfH1KCyjN2Y/vCX+SiN QTrNwwZCyG5E1wtf/VTCIFfEz0t/cydIenDcNayMQWpemfD02xI8OF2tqVPB IF31rfNcpgRvl0fPVFQzCL3MSWq/CkGblbhrQxODDE/Gyx3mI5DtkND81cEg xodrXNL2AJuz/KUedjFId0PnBNcGYOel1umjPQzyuo+/4JgoYCB7N7Ovn0Ee WkkUnv6hgZPuNKnRUQbRXStGeQZqIGDXxelXbAYZOiYbbuOigUuLfjWenmCQ XMmkKRsjDSS+eHBlaopBBLeRlpvSGkgJ4nXJnWGQ3ZUlCtX/aCDN5OiegDkG WbzTfIEESx1ZMl9Wa8wzCBJidXyb1VHAXjfNOQDI/T/r2V1F6vgfIPO2pw== "]]}, Annotation[#, "Charting`Private`Tag$10451#3"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->{{16.15306122448979, 1.5}, {1.5000000000000284`, 0.5000000000000284}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 10}, {-0.9999991741621531, 0.9999981450395209}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}], {159.41145800166433, -92.30444697339695}, ImageScaled[{0.5, 0.5}], {298.8964837531206, 175.8179942350418}], InsetBox[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJxFz2lI0wEYBvDZtGLOcFqmqdt/Ji7nkX4IMvJIg8yLTJcw6djUzfJKcWBq ZabpEG3V8GQMNQ0RZ8YM7FimpnktdGXRjMQ5RFPQ1tKptQryfV94ePh9e14m P+tsyg4SiRT9N/9adoO/0z+5Ioj0/wY0RFQCcTl42+ZB1W2CuAaW9VYyrAgx OD1QlLHGqANrNlOlK4w28C7tLGuZ0QNuHJFnf2MMgxWdYm2672ewMHiibilH B87Ue+qUigUwhVnC+np0BVxlO8puvGQA87Xxr8hjP8HZb0r4WawNcNdVapzj 6V+4pyBt0S+BFLLtYvlW7I8lCzBJMxPyIp8M9sgV5MWzrcBzxppz1i93giP0 V67fz94NjpmTeNHpFPBiP7/obYc12Jc25Rp20QZMCTbypg17wKeWuWtuHFvw p75kC643DdxdPnCBMKIFVqIZtdoOnJRT0E2ttwcfFnqpo3h7we/svK1FAfvA zxXFDd5kB3CBBfvM2Bc0ZTo/PFO5H6xvZUrlhY5g6SEnyx6OE1hSLxjiEQfA XOl5NXUevX6yxSRXOYN1+tC8vjIXcFOgv/M4zxXcUSqiCX3o4DJOUiTZiD4y 3dhWNs4A13o2dIxHEuCbvZW1kT3oaGdOy4g7E3wicyiRJkbLXfjuY0a0e/+j 6phEN/zPp489qUILDJYTw+yDYH7Xd0J8F51eHLcVcQ8tilN+pD5AlxtFVZJq tCLAtFkjQ5tem6da29GSSWrlwBC6vjkj9c4wujlXHRY+in7qINkYVaOnufap mg9ols4pbFaH9lPm0x/q0cdKtaaUeXQUS/Z4YRGdk0bQV1fRhcdvmZ4Y0KU2 s+9zjejazuaK9XV0U5Gl8NkGuj02JbRwC610G3QN+o1WGTxMZjP6DwbEFmI= "]]}, Annotation[#, "Charting`Private`Tag$11181#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13c8Vf8fB3DuvWRVMu69NveIQqREoT5vykhKZmgZWckKSdbNLJmFhISM WyJpS44ZMuKqjEiLvkrDzPY7v394PB/O43E+n/f79X6fBzknHwsXEgcHxwHi x/9/W139kJyaPY4UPCb3/+1rxfnkohWHd/5Fr7bKGxjMv8RbdFPVwg3+ItKw 152ngS/xWNtcLSmLv6jId9vRiMlqnJTyzOio519UbmjWu+7XC3xhZdyt9+Zf ZD/fHqk2+hz/OWjNekOaQKPWkaqR/z3G2zMVN9e2T6A6BcOvF4/ew5ME25Ty HabQ4e5xoe0/DqPnWlKPD3lPIZuMK6e07dzQtxM+aClkClVSR74Y0/2RTpmw 1ZHrU+jvelXeXb+Z6L/9x8LWdk6havxdIl9CMtob9etNsM40Gr/CWa1Ny0Vz M+sDLagziEec1P694R7CpJxWV7EZFP37/pm7mWXo0L5Hl8vUZ5C39tbm/DPl qOiqbS7PwRlktzhwmsZbgSzU8ptrombQOQ2rbV/uPEBl7tvElSdmUPAHmaEL fY+Q0wcrnNw+i5L053Qlf1QhvuzPXn79syj0/fElFcMXqNLeW3J4dBat8TI/ NZT/ApEH4oKrOP8hhYIaZynbalTYV7XdT+sfWjmvc1Oi9iUafSfL+ljwD+nc KjojiGrR6a7xlOfBc4giOZLh21+PhFKCkWLcHBL5GHM5hrMBVZlx/05Lm0P2 IzoJnpsbEP8bmQO+9+fQFl2O8bvnG9C9DgsuxZE5ZHgkXWdOpBH9fv0sOO3w PNp5KsPt/b4m5NcU7eSjuICoGlY2CxebkfQ3Q+7Z7Quo6lRQ3GJ+M2oj8d4N hQX0N1ZN/11dM9oIiROX7RZQg2XMRSHOFtRflc4svLKAyufeOT8Oa0F6FcW5 /X8WkO7LyOvFPq1oQ3bLwN5ni0hUyGAyTrMN1TyPD3/duIh+n+F4X2Hehjz7 TBnm3YsoxfJGy8MzbahJtNvjxI9FFK94SdC4oA0Fp/TPnZdcQn35tsWl/O3o c8wPajlzCbGzq+pO97ajB74ClvT9ywhGxIMVLTtRe5ZwcJnNMkqYiMJSPTvR aKP4Lf1Ty2iAf6NmV1QnEhfb/PNMxDKKj9z4pfNhJ4quM4iqe7yMLslWBXVt eINshCIenmasoAOOa8pnmt4gX93Y/lW1FcQnc4mEf3iD4l0TV9N2r6B/Jjf+ nZh4g/Cq7AO47Qp6FFl3acO6LrTJ+dlX4eQVFGgTJzys1YUWHk4Iv1xcQY6U 3+dYcV1E3+Z2WfCuIsvdy88MU7uQKg+Hw3fqKvIbYn7vyupCzsfW3duwbRVp n/y79U5ZF2qnKO9zdV9FBiGhiafZXSjX+lTA+nerSDEXK9tF70b5IZ4/th7h gDR+vw7L9G60tZZ3Lu44BzB7z6vw5XSjWgqLa9iZA3YbbVGvKOhGnxK/ySb6 csDDbOxQ2/1uJJ13/MjYZQ448WGheU9rN8pqNGvMr+YARnmdOWO+Gynx/u6e q+eAnBuh0r0r3ej5wYRhs1YOqPkyIhVKYaO+9y0Ly+84QJWp0Z+xno2oY3rq 9n84QDiuDwQ3stHVtRq5QgxOqMH/tosfZCOGBbvUYxMnXP7ewdtrzkYPMnyf 16pyQv0OKf5oGzbqkil7663DCeVaUREVJ9lo3TYF/jYrTujwjVK18mOj3HON dMZRTnDw5Em6HshGW144KQQ7ckKj7+eFtmA2Mt13S0/RmxNUkzjkeCLZKN6G fj4qjhPGKnlzO1PZSDz7ScxAIifY3zZwy05nozvDVtfU0zhhOfJprN0NNmpx Ty0fzuMEQVL5+J08NuIO4RvRqeIE7S65IznlbBR5a8l8epwT9hjLfH3TzEaH tz7zU57iBCEP4+mS12wkXeef6jTPCQlXo8POdrBR1ZcfXV1cJLhimSMxzGaj yY39ZmXSJDAbEA2nDbFR7ZM0n2/yJJhOuG0UPcxGSUaHkyWUSeD1V7Dr62c2 UvJo7rysRYK/UhMQMspGTvceH3Q9TIKek9eyBP6w0dbdfl43bUhQMfLDQnCC jVY6VBLfHiNBYuNvwTVTbJT153a7vgcJTnx2rOuYZSN35snxYB8SHN8f3XRz jo00N0gIPAgkgf+J55MOC2zE3nb1gEwkCf59rftZu8xGeQ0HPW0ukcAv3Lj1 +CobeVvxXklMIgFd3HjqF0cP4jvHfL2YRQLyHfrh/8g9SO+59/6+hySw+7dx oyFvD1pnouSxvooE8sGbT4bz9aDBgZFLhrUkqJOX2nKXvwedXzrW8qidBO+X CliDa3uQYSL9v59sEqwqSbp/XdeDRKTfrsH6ifPHWg4Pre9BFeiAUeoICWRb XtPLN/Sg8C5ut5afJNComBiPEupBpo71sasTJPjSUphzULgHiU+GFWvOkYDj Wu9WfpEe9F/krldeKyTwSA6rrCb8RHhmpJBChpk98UpOoj0ourCCa5CPDGGM ifxFwhY7zmwU3kCG/qoiucvUHiT7StHAhEaGL5eyK/loPei3zddTF6XIcHbt q+NMwtXfc6OfYWRwaKWr/CAcf96+8M9mMsTujlMwpvcgW15qo8JWMrz8QbHJ IqyQ1f31uCYZBs1jGj4RnlZKJKfrkqFmajFIQqwH1b8wxtr1yaBtfizUhHCK KWUveT8ZNv+80e9F+MQQ7qRtRgYXfVZmDGEV75BIP2syNPVeqE8lvLCiWcA6 SgZ5FS6Hq4Rbkifrhh3JYFerfSGOcIZs+WeqOxl2i64X9yN86oEH5yFvMtwp DTQ2I7xNf6NcTAAZzlGc1jEIc/R8guoLZAjNaw4YI84bPVaTf+EiGRo5snbe IszLcZO06xIZfnm8LzcinEQNcf6XRAaR7p9fvhD1ENpi1/g4nXi/8v5PvoSv 79XaGJBDhg9exysniPpK2ovGbrtNhqrE66dcCOf5To3+vUMGUaYrqZ3ox8a4 bqP7FWTg0951fSPhuzfvs7yekuFZRbjqWaKfqo8SeVVqyAD9RT0PiP7v/Ly/ jdVGBhsR60A+Ih/V/xRV3NhkwDa8uIQR+dFbx524sZ8MRe0CfWqCPchEp/5Q wSgZrpsM2TKI/HWa5913+EWG0x18+TxEPi3dwwVlpslguDRg8YXI77F0bXY2 JwViBmplfYm8fyqlb7fnoYCUcYylPE8PcqmfvUZfT4FNH/dLtXP3IO8/ldbp khQgc6jfniXmZZIr9YklRoE1JqRzwaQeFCTpQxNSosB/O9XX/iXmi7lfuT9J iwJlF7mePCPm8drt28cuWVBAXoGq9pyYZ3rVxZeGdhSYW3Zy+jDNRjldJ6W5 HCgQ7t/yaGKSjYqXJT5d9KIA1yPtbwu/2ejZkTTnkEsU+DNhUsok9omu99nG XckU2Cb9U8TgGxvVRR/eOJdOgflPJ+aWif3z+oHA94DbFLhYLG1/kNhXg/wx p71rKGCbmfjKuYeNHBjObSpNFCgZttXt6GKjkZ16Kj/bKGD2pDJWuZONfrss /3Lrp4Bwks+rVy1sxFkb6Oc4TYHDh3LUgl+ykUKA63krJS6Ib9ib0ltI7HPt YctbW7ngcwXXcFs+G2lw2Kr90OQCCnxc/zSXjfQT9o9G7OWCj65PdM5mstGJ QhWr0mNcsK5j59PQK2yU8XZSjZTMBb/u7aD98GEjrh0R3+9PccGqYaKxyzY2 Elj8V78wzwViQZt0jVTZSKjON9eAgxtOOk1tlVNiI9mDTtYfBLjhauKi3ks5 oj4uBg3cCtygPauxnCHIRgHp/LeO23JDAD0spW+8G32buW7D/5Ibrpk2neq6 1Y0K9Lb7DzVww51T1ASbrG50MrEz+f5rbjjXdyz9bVo3GpDnarXs44apM4nB zy53o27Lszo5U9yQFPa+Sta/G9U8MJXdorQGtnzsfhi6rxtd9+L8cej6Gkjz GjhX/rkLmYycDrvqxwO1Q+lM4OlChmHYvX3neeCQ6vqrGpxdSF90cGA2nAck 1VPLDaffIG2DgzuPJvCA28hJ/S+9b5BSkdoUVsJD7MNQh5u5bxC/y7T740Ee INddObhd6Q1q/xZm1WfEC4knmvOPaXeiQ99SlKWl+YAuevVJqn47+tHgxGwp 4wfBhLABXvsWpLrhvdTek2tBK93iBj7VgPjQjOPg1DrQDnQ6K1aLI6Nf9v8Y 1oIwIz8tkHHoKeqrP8Vpr7IBuNdu25FvfR89vtR4QnZmA1x9lNKfl1KAWCZt 9Li5DbD7dfmH6mMFKEuAzf61uAHcUwdu/dtUgJgpw4YvSELAG6Wd2VqXj0wz F1RtBIUgU0rL+9N0HvpSsnX1irIQPF6Yu99Ul4vWNefc+ucoBK0FlJ41+ZnI lSvwU2enEAT9rq3fBPFIXKa1d7FbCDwfr9aJ5VxGnTul3mx6JwSOQxuuhs5d Qppnml5GfhACWGv25XplHOLuEc3W/E8IdtOiJxVUYlBR3hPrXE5hoGy6avpI g4m+6cy99tIQhv8mzUMv+5xGzmdDHgtkCcOnxaEg2wvncM1tHx9vvikMy17+ RR1RQTjfJDwxzBMGefWr210TzuMVftxPmcWEISyIM/sCvuSb+my6Uhj2FEe3 fCoLxzN8Sl4MtgmDQ7Ad/0brKLz1TE/dvWVhCGgJDNFdjcdzVDTrWzlEIO/c t1e6567gvuOZ9aNkEXhrRBHpGr+CU8+caJDlEwEvNdEf9/sScCfPscY0qghs ki6j2JQm4Useq82haiJQ9DV3FpNOxdXclDtNHUXgtS+3SmpsGv7RQ8an7JQI +B5JeNeEp+EJZ4QF17mLwPftkSdfzKXhY36L5m+8RaAm0dp6zCMdvx3a9s48 VARGVmoTLPZn4LSrnkM210XgCGvwgPvSdXy1unTcoUMEjuc/FhHSyMbL8VuJ dV0i0DdYJRrpko0fq7+myngrAhfW/F58lJGNP28O8f06IAIpY4HPnOeycX/2 gWmX/0SAQ2Lbk9FnOfj37z8XT5NFgUpJGklRzcXfCKnwB+4SBXc3cpn/uTx8 j5fXWLauKAxLDmhS4vPw8uby5nokCr9oncIhN/PwpFD1aEFDURgoP/RTojEP Nx3VXC61EIV6wfPrlAXz8dfP9f588RSFCuUbwnG38/EmhyM9h3NFgTHFjA98 WoBrvMh8EJQvCuc3u6z50lyAF4oOJOcWioKdgtf8jr4CPPr1MdPxu6LQvHez Y9pcAa6v4dQU91QUZGpou1V23sZr13g9rekShXytRZGuytv4i/LIbBUyFZxE bF8oZhTi3KbW4te5qTAr/Pzsw8JC3HxM8QYnHxW6ZLIfYQ8L8e9YR8Z7QSpQ OevWVb4pxIVv0K4ypalg6Xk3J25NEe4Zde/S211UCB4rkWGcLcKfyEasQbup 4Ly09ddSeBHOWWMeeweoUFj+WPbllSL8+txsVLgRFX6np/z9VViEN3jpRWyy pgJpouCh0PsiXML2fWCoLxUkv/1qDthejLvOsKZH/angr2PsfG9PMf7gaoi/ eRAVtjXR4fX+YtyoQ9ZPIZwK5SKL089OFuP++p5nuq4Q95H/0OYcX4y3qXA4 y5dQoUb0periQDFOfc3+nHSXCllfUs1ufivGHd2KHObLqPAn4Eiiwu9i/F++ yYnOR1RoS7qW8ZujBMdo6Xbn64nz00dP2mwswUM4lQ63D1FB9eK+DakeJfjo Pv4+hc9UwIYMx2P8SvDDl8ZPXvxGBbpEHMs5uASXX3/fR/MnFYQ4Ly73XyrB 2yU1kvPmqBDenVn8sLgEl965pzNAmAb/XA6cVPxYgl8KkbF5Q6UB+UPhdMW3 EnyyhuPjZnEabNfXOST/swRvNmj49VGWBpTSj7Et/0pwX0vjtftVaZCjvyeb R5CF13tbmErtp8FZT8sqf10WrlK5/W2QKQ2yF6d35emx8IwZkWNsMxqsSWI7 PDVk4Z6hvZ5xNjR4EMY5VHSYhYvEH7sy4UyDsG9nJGOcWXh4x25hUzcazH5R ceZxZ+H/CcpkF5+mQZ0nq/7cGRb+8vrnu0f9aGD3KZUiGsjCXYtcXzeF06Dx wRk5uxgW3vWfkYVsJA0EThq90LzMwrVVNg9ciKHBU+njw6sJLHz9w59jagk0 QDfmV6zSWPizWl/erBs0ONCrsVmggIUzKBap0zk02BF/qsCoiIUnGG0XM8uj wTO5NjEfFgt37JzZRCmhQdPcDhRZzsL5Bi8Yez+iAfbh9UrVcxauGXRnbfJT GgTMu+YrVxPPC/Wx71fRwP3MC70rNcT7jHccn6ilwcdyyVJaAwv/9tWZIdRI g/tbJq7sayLOF3H1+7Zm4j4n12Y5NBP3e/zHL6CDBsd173m5trHwq4eltdK7 aKCeMWtyuIOox0/Tpcc9NBjjpMdsfkPUk3E39l8/De54+aC7bBaOXvYdoA/R gFPKq9f8LQs/bbtmw65PxPt1uxf/e8fC65JOZV8YpUGryjGx0T4WPr75mkP2 GA0U75komQ6wcHpT3cbqcRrcW1D9l/+BhXsvSlcsT9LglbP7tORHFp6VcTBQ epYGZVtidPWHWXiTeqg2mqeB/UZF3yOfWLike38jc5U4z9LlVvMvLNyYzBOf T6JD1hWhNVpfWbh/rqZZPRcdJovvnxT4xsJzd7mIfOWhE/vGYLib8Ou31/rJ AnQ4//lJatwIC5/1qc+VX0+H2fv/RW4ZZeFy/BPOBkJ0CPGoqWkgbFoss9lV lE78PylhbvKdhZ/XO/Q7lk6H3UvfDOoIFw6GPiyRoENr9DJr038s/E1Q6fkW aTos2+yPZRJeEBrYPSZHh0iTe2MthBXKech8G+mwosk3zDnGws33a7UobaKD xLThWWXCod9cEg8o0+GineF9A8KsiDSLM6p06N0znn+YcI94Ay1RnQ5NIZI2 poRXHk8MlmnQYeZ7Ve9OwkrmsgWdWnRYe7R0G5Ww9fghtz/adHh6r/vsN+L9 zLgwFcE9RL0ebSi8Tfge497EVj06nDAxY1sS7n058MR8Hx3uGXjzzhD3I9nx hp41ooNyuIV1HGHVaS29ayZ0iG4bruMjbJ/syv3oIB1Oci3YRxD1ilFKb3t7 mA6nyDEqI0R9K5oaUmYs6aBz85S+LuFBh0lr6hE6JNwNZUUT/eBZkpXQsqfD KunB6Rqif9uvm306cpyob/hI2hjR3/iOe6dvONPhuc7HwyKfWfgT9w9qVa50 MNpyekGYyMNnMt/MgAcdIC9Gh4vIy05ttwhJXzpsuW32tHqQhTu/S9+3258O Ujtwvigib0m+jbwnztFBPWVEQYfI40ixXNqtUGIXmzn9x+wl8hr9eZ7MpIOq RuKL30SeJ53yT7pH0YEyb7jelMg7h4ycsno8HRIZbgHvulg49/KnlPREOkTF dtzmJOZl7Ye82fkUOvi21idLEfMkfl22vv46HZ78sOuXbyXyFfhJUTGbDuYt i1aCxDxussxLvJJLB48oldafjSx8x3pZO6siOqSnaPeerWXhh+Nk/o5UEnlc 4lFteMLCj7gMW5s8oUPeCzmhrY9Y+Im9t16UP6fDAetW18QHxD5clY4LqqVD NbXpptg9Fh4bJC3N20mH4mbv0eA8Fl7tJmWqMkYHPCme5BbLwhsMhh6kjNNh rDXl3+dIYj6wm7SZP3S437/x4KEIIg/Dkl9fztIhNXDJejGIqMcRyQtmFDEw TzsaySL26SZjCdZZGTEYEf/scsyIhaspfFjbyxADe/+3ntP6xP6iZPvrKIhB eJZNffgeFr63VhxRtojBUcs1N0/vIM6/U/x9urYYDI0cLstjsPC0TWKU59Zi oBpdYXltoQQ/dkKh5KutGNjwLnyrmCG+R2nbTdYdEwOdIzesG/6W4I9WD6Y4 O4mBkbAXuXm0BH/7PlJynY8YtJ7z7zVhl+DCMeMazpfEIHqPWeqhkhL86mfc Ze0LMZDwGOq8vr8Et6d18OysEYOoaf8Bt70lOOPgQKlTnRjQgld2qe4uwSuf TU88bRaDzu1RWO7WEpydvDnc6a0YfOy3HuWnleAb9lzLePpLDBJ0/I9u/lKM p2S5NjvKioPDkqXzS79iPOhcpH8oJg6qYXrW104X4ycscmWuK4hDifSOo47O xbgK3/ugdhVxOHj8RduIVTHeGmywSWuXOBgsSxxN1Som5k/+soCFOEi5/dkQ uliEB9K+mDyNEgenDz/fjYYV4fZpxzsFvovDKe8Fm/0+hfjcvqL5WzUSEPZg 7POa4Xz864j++fo4Segpb+OcupKLF+xWl+hwlIL4X6wLNg2ZeFlM4Aa3LdLQ uGZv0ib/a3ictfMB8ow0LMvnb7q8nIDvGMy/E9chA+oJMnseiEfhmZuzyzoO yMLgn4yCioZAfHrKsCjqoCxsse6wp10MxM1qJnN2mcnCZOGSesmeQJzb0iSh yEIWFvR2+ehXBeCBofOnw+xkIW1zd6T7Q3/c4s2RTVvcCLs/WAwr88MFAkVu J0TKAlUsfcuBSE88ojYx88BzWehRkx2ry7fDfwzVps1XyYJ20rPs3iZb3GZx KqWkWhZGcx3U0n4cwVU07S+Ta2UhZ9DTlKRpg/eVKlx48UoWEgb0bz16a4Fv u44fVX4rCzXH2uu4nY3xUa8Jaf4/sgBrZuyNP5PQQQnrotfycnDJWq3YQ90W ZX5TrT2qIAfaRs7zkb226FsZz4dxRTnY0ZU2zRdmh0KhWnC9shws7Weoub2y R/dcsFBLdTnYYqn/2sLiOOKrmLAY3C0HDK3n+VGKjqh5XxLHbxs5MFXfabrj twsSWucuEWErB0bSD8b27HRFJ3r1NAXt5eCO8x9+zkhXNOsx47ntuBxUtLyl 3BdxQwrJx3rPOcvB1JO/7EpNdxTdr1S+6iMHZ5cHdjh5nUZ63s1HN1yWg4lP 3YJlRd5ooW/MsDFeDia/erw5Mu6NHu0V2BaUIAenkkVOVGzzQQpi5jxDyXLA lceDPGt8kEDjwCNWhhyIBd9U5vLwRX1iv9dCoRzwHspfzxHoh3ybRGq9cTmI Xd/HUe7tj5S2apXK1cnBwkn1tOkEf/Q1yy7jbb0cHORVOy5c6o9sfHPPaL+S A+/m18/7R/2RrsQmMe4OOZCij/TFHwtAPH46Z28OyBHzr1QYD4HolqSTfPuM HMRk6uU6/jyHtLcrqzr9k4My65J2MXIQert/WmtujqjX0IvGCvEgxBMUe0B+ SQ5uKUqhkP1ByLf77tlQEgMc7k5lRhUFIYidqlVZz4AdAZfqPY+cR1/+RB9P 3MQAjkkF+R8FwSiU+5AbpsSAKYGpntQnwYgqRfN7rsyAO2d3dIi9DkYmJnei R1QZkKhV1/36bzCqLOwo3b2DAWeP+GVV6l5AUXbUhV96DGj0Exst7LyA5BtK Mg4dJf4u+9jg7IcQ1KkyVzh4jAHrB73+/PoRgs5nGD88fYIBtrL9VaYLIajN Y+xNrCMD7E3Nxx7SQ9FZQWVe3I0BtwKSuJWsQhF+vDxELYABaaW3fWqbQpF7 88rll4EMmD+uuDOgJxQJqZtlHghiwNZ3qTP8n0ORK+XvI7cLDNg2pBn3fTEU CZSq/77FZIDGl6ikw1vDkP3cIwfBRAZwa+7xn70WhihOXD65SQzYxe0r9fdW GCpvsw5TSWGASsu/nM7SMMR5a/aG8TUGXBqXt9JuCEMsg509zBsM+GPwTLnz bxiaufrCYKKIAQMVvU1ThuEod4nfKqKEAfu879rqmYcjY9djTmvvMOCMiX5+ wNFwlLNrOXzzPQbIKQ1dSfAJR/qf9jxzrGTAS9FIs6iMcJSypV6JXUPUW/jm +8zhcMTaeZQ3spYBzHV26yhj4QjfO/1dvZ4BS/y6J8wnw9FvO4Wi1CYGUH3X ZFylRKADsfEy5u0MOHT3T/ADxQjklIqtcHQyoKHPKFltawS6kFM9WPGGAQzh WeuUnRGIVfn7hmAPkQ9Bs70LxhGIe9hCpKufAcnjbQ/83COQ1I+fkxEfGPBd u8xljW8E0piJ7lYbYkDYiX4nZlAEcuZ/mpT8iQGi8QIxkrERqFZLgtfsOwMS tj8NXc2PQCEpX5c7pon+vvvay3wbga5mhw6GzTKgZu/rNVYDEehuseiLLXMM EBYfqeD/FIH6qo3OJy4yQM25smrTzwikOVY6aUrCYFVY/9NaDiY6OL2ve4mM wb4DU67xJCY6tTp0/x4XBlskdp2bpzDRNVFBLwFeDOBphNV9Xib6qxfwvW09 BjiMiIUIMRHPwbWvQjZgcOGm4p8EESaSsS0uVBbGIPrfXGYqlYkOefc5XqFi oCI4lOovzkQuwX6gQ8dgqFZw5rAkE4VG88n8FMNAyu6MlZw0E5Vm6Q6aSGHA sIlSzZZjovqid1UL0hiwmyqr92FMNFDhfeOuLAY/tk16fZYn3t+cZ8MnTzwv cdlhWpGJXKco3a1KGLCqfTIubmGiE3f3dR5TwUDylYhAhSoT2ThGt/3ZgoGZ wd3UHjUmMnxDfiWqjkHO9r3j8+pMtCd2bwNrGwYCP0S6l7YxkebuqFodDQxG C/1HprczkUIp6YWjFnG/JwHVjTuYSNpJ/9n0TgxuWo0k5WgyEVUs8nGcNgbt MREVHlpMtK6rrlJcF4NqL6XNKjuZiDuOs6JsNwa0rR0c3wiv7NYrA4TBpb+H UOouJpqdZt7tAQyq2Bnj27WZaMSJo2h+L3GeK6IP7XSYaFAMChIMMIhiiQ8O En7bFXFLxggDl3OR16x1mag9Ds+pNMbAga7xuYFw457VGwYmxP0rqR2Ku5mo embP9b4DGBi6bTh5kfCje+FpngcxiDvKf6uL8D3nmtSVQxgkVP5ME93DRIXi K0mphzFYSb5hfJhwTvfuBHkLDC7TluqYhNMuhV1+aolB75kFnhLCCehlrIk1 BtcehmxsIBw9uxQ1ZIOBx3o3mXeEQ8t0L/raYkAqvL0ySDjgVGg42R4DvnR6 2wDhMxLVIRlHifxxlyV0Ej7FXjy/+TgGwhLGB54RPnZZ51z1CQxO/+tal0nY CkL8zRwwGKhRHfYibPqvyveLIwaC6caNuwjvK1/wCnTG4LrgmleLxP10XbQ9 eVww0E6rHH9IWEPygnu2KwbKKh7gRFil57mLqjsGad4CrdyE5ePnneo8iHxM hCXlE/WU1NvlYOWJgeeBW5nbCIvMnT/+/QwGSkIWf54T/RC4/8z+gjcGnINB WVqEKa5zR9b6Ev1Gk/mlRD+XJHda5/lhkNFdsJZKeLonyGK7PwbFmz1HzhH9 /6r3z9TuHPF8VOucBJGPgTlNk/EgDF5XMPY5EHli3z9nFBGMQdmSmEQ2kbd6 qVm9olAM7hh5XJnWYKKqtzvQznAMNvhHawgTrrwSqNsWgYGpaOOlTUR+C+an NSciMeijalloEXnPqtDQiI4m5rdgS+/WrUx01S1AnRaLQfJyp4IcMR+R76aU d1/G4OGFTINRFSZyejApezkZA6PlyePkTUS/Ii2XTFIxELEMuJigwESBlo96 Ba5hcITNCOHbyESXZgKTUjIwyEz+LDlCzHP5rvnF6zcxcHw3ZEqVYKJnfPa9 drcwQEa1VkZiTFT3oapSIh8DfbfoeC8ake+wUI9bhRjwTl8pvSHMRPN1q++L SzGYF0yZ9eNnItI1h0r3MgwsG4PyDhL7SeBUXaLSfQxC7868kV5DzCd31L7y SmL/JN/5mU/st30m3JWPn2MwwTZPt52MQClsgcTGZgzSQ+nCT1oiUNZtL/fY Vgxyh3fv29QQgW4HdO41bsNgMCS4P/ZlBHpCTVlo68Tg14PXMbyVEWjQXti9 5x0GIRZzuopZEUjxq9jeL1+J562zPr53jUBbH12QLhwh6v/fR1sxhwikHfNh 3uU7BpOLGYn77SKQqeLNirEfGCzNzYX4H4hAZz1lpScmMBiLK2n4oxqBQnUv zldOEfVxKnUvIL4/MWu/vA2YIfLuaO6/VzYCZd6/fWVuDoMOhsR68w0RqIBJ catawEAxka/tJW8EKjV30Q9dwqDFe7u+GCkCPWK8ktqzQsxXzuJl54VwVDOl ML+6ikHXWMvTHOL79z8jRP3A "]]}, Annotation[#, "Charting`Private`Tag$11181#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13k4VOsfAPAZ5AqRPYmGyVJ2Ualu3zdbWWNsJUtRZEl0c7O32CtFCVkS IkuEyJLM2Mkyc7QhXWSLImuMbX7n99d5Ps97nvd5n/e7nSPtfIVykY1AIIgQ CYT/Pw8K6n2+svID5NznDWd726neY3tHyosnwbBYmJyS20Idcuzjqm+fBJ2f UoGfNFqolr3RKl2jkxB/RovcRG2mHuqYCBjbOQW8Y2mTlV+bqOylOdtFo6Zg 8epc9ZBEIzU5WPrYdaefkM3YoM/4U6n1QuJPtLdPA8n1Pzvj+TKqZmxbnb7i NFwLV5c+r1lGzeX0H7UwmIZmmvfr/Oul1HvMz6oewdMwS6/j7SKWUG0GE1pS fkxD/dKIsPvJAupUwfbFNdoMJJgPPVG89ZTKLR0uP3hoFrzeSAQcywqHtqPx qqH6s7C+W/91nkwMRJ5+elCSMgtDf2xVf6fGAltc1Ymznvg6c6oq+egjWN38 5fYlfRbuvzpyrvJ3KvwcsM6js83B74tp5wNP50JnsvxeWuccvF9PWFqaKYM7 5ZrqTn1zwCFdccjjwms4yTiuvTk2Bw2FNjTxvtfQ9Je94VHWHFCGXyqr0Mqh 9t849yr1eXihd/+afsQbKLJi5pckzsPXgkuUpZ/VcH97x77McwuQy83B/34H DaoPSlaYeS9AeOSsBqcJDUYdr8B60AIQPr9RHAylwZEiISvbpAWw+nor2X2E Bj8M7UO2dS9A/O+JEzMv6kE3bJoecGQRHtFe6MntbgTvArCTN1yEC3zTFE+T RkjB4kc/2ixCxTe6gnVAI8zuPsBUvboI8EtKQbynEZ7WhsqM5y0CRbvawedG E6ws8ftRRJeAVWn2sbm9GciSziwWeQlEK2tb4+aawUyvPKZIfQnUnk1P/CXe AjkPTz/lMl2CwN50z3XXFqCoZrbWhS1BWYBTITerBYouaexUnFuCguPPL0qS 2sD5qxWVvfMPfI0j3ZLY+x64U4cv+/b9gXmbSrFyg/dQZue9a3D8D8z0Rxdw XXgP7P1RATXEZUg51aw5kf4envfW7Pc9uAwPzDl+hvF1wPgnUt5/Wcuwuzf9 zL2RDrj/uMjGpGQZZP/VxPg3OuCA9eEtNe+Wgfi0gMNatBOiPlo6P+5dBloJ 9za5k52g8CFylwnfCijci236mdcJHoxfcdUBK/DlviKfiVMXCMYFgHzUCngc vKcg6NcFNac4ZxISVsB3xUI8404X8NB3G/u8WgG9bDYqX0UXvOyibJEfW4H+ ytJh07+6YeZ9VUCCORO63vLXxGd2Q+IdfQU2RyYohsR/mXrdDceMej5f8WTC 4UPsnfwt3fCg/ed+40gmUOPdKHWT3aDWJjVDrGVCmSY5sEKFDr7N4c5X5Fch 1mTY3vAVHaRGDTj/7F+Fr3vNLwa/o0MH29aCYLQKPgOBHyM66CCLYudizqxC Yudk+64JOvTVPL75/O4qXBWqzVLjY8Dxktynfb9XwUVhfPtbYMBM9yWdc+ur MPWMc8djfQakTu8bH+daA65WazF7YwYs7XulvCi9BkURYU6lNgzIz6ms5bNa A6kSzXdBXgwQSG3r161ag/xPL8efJzCgrvpO6PumNZiOlqKfecIAz14TGQts DezjOvdvpDOgWQRzd5zCvWW4h/8FAwLi+lb8d62Duyc7v1sVA+RepaaxFNbh RvaVmw9rGfChywFFaq3DVvbdakU0BijzfI96ZLYOu7KMCkvaGDAcMSVafHMd 6nWnK+e/MOD+85c1mrHr8CflTkPKVwYcafR2fPtkHSZ++XZpDDLgMWEhp61s HV5MSevvH2eAYdCa5sjoOoiUVTj7LzCg1IfXcofhBpjGVFTJ8WDQmSIUUGSz AdsVhPmF+DAYb9qZoXNhA2i0LvWZ7RjsFN/70+vGBpQUc+v5imIQXq8fVl+x AYF7qn2LSBg8/WmSb9O4AXB4gyBExqBKxIr+k7EB9ya2KV2SxWDa3VlC9NcG 3P1i+m54LwY2gjdee8hsQlO5dZawBgY+RyP7WKqb4KnCO87cj8Ed11hWwt+b cOAb4TFdCwNqTaox9fQmcOY7pJloY9A/muVr5boJ/yhnKSwexmCRryBp8p9N wCq+Rd07ioGCS9WI0INN0Micl4sDDHRiqVvz0zYhzTMvZQ1hYF/ZonqsYBNa uPgMT+tgEM/zKehS8yYo3Ml8N6aHwUutgcyNHnyddKNS1ACDFqeR1odDmyAM UebaJzBYfT0n9G4N32/W4I2lIQbC/61oU7ayQEbHutjYCAMVLsK5CVEWnK0S SNMyxuCkxl+RwXtY4FUm/1jABAMXe76XAhosCHqg82oQd2ikSE8usOBl8TbC M1MMkkt2rRwxZYHsFc10ihkGZf1kKcyOBbxqzmnLuDs5FPVcL7EgwlxH6MEp PF4qGh5rfiyoVL0pJm6OAeGMdlxcGAualVrrHuPeGYbeyMaz4HNug9QWCwy0 ik4M1DxlAf+GpKkbbvMvZmzmL1mQcD/cqRa3B9FGYayaBbE1mZ4cFDzeig5m ga0s2DVEigLcT60vXOP/xAJ3x6LWy7irbnimPP/OguSEeZ0HuD/kX6Vpz7Kg eziV7znumQ8B490bLNDIsUIvcXPcQJxlWwho4u+26Re4BYT1ngTzEpAwT5ZS Em6p/BNKJ4QI6JtnrGAgbsVjxlSBnQTkTtWqMMd96IMZZYBEQF8vGOyTwK1/ iTKWK09AZ996RPXh56dsWPv7qhAQr4zZ97u4nR6e4Tmqhe+/kmqugdtL3uEp 51ECepLGmujE7yeg9pw6pkNAVO89dWdxR1pcaEo1JKCXXRU//sPvN2HczdbV nIAidziF2ODODPKcUrMlIN/ijvgGPB5qtK0rUQ4ENKy1X0kFN40jb8ugCwF5 H4oYfYDHcyh2lBTrQ0AqvJmTWni8fXpuq4z+S0Bpf9MsA/H8YIlKHz0SQkDc j0NEK/D8kXrmYDsZQ0C05DtD2/D8Kh5du4DiCMj/wIEtSicx+HtvytWkRALa /u3gO4Tno33Z51j9bAKqkl+SNtPHIKXpVFNmLQEJTDieWcXzfd/WGWylgYD6 WPV4d8ag2vTe4Kl2AoKJKdGUYxj0fm5b3fhEQI0cBhqieP2ITh5Xt/tNQK3F CqdzDmCQqzx0rHSJgJJ96h/tx+tR62qoCdc6ATW3PDCtxuvVaq3G7Q0XEYkK RfxbqIbBw22aTwVliKjAqe+Q0j4MZCg9he4KRBS8Ikv0V8CgNNGnmqZCRJ4/ xd69lcOAsbvoo/cRIgpqyDZSxPsHn4YcT4cVEd12d7Z9KYH3A5sd/mFRRFTt dF1TB+9XO1PfRPTHElFfiHWt0FYM8getHqknEJFK8SzPf5wYtF2KLx58RkS5 cfz7Hdgw4AziHjtSQ0QKnm1LnEwG3M5Yt1j8RUQWkzMLgmMMMFer8lVcIKK3 npPDYd8ZIFX/T7wzk4jsOh6nzOD9tOb7FIOxhQ2tkUeflPYzYF6271SRFBuS OnFd4DedAc4vK0xdzdmQRrDvtEU1Pn+qvQ17X7OhI8tiacRoBvAZ7XPnr2FD s06rc7RwBgz0j0Ub0NiQKruqY9AtBviv27eVd7IhNQGvjOFABpSA8Yn4MTZ0 ZR51X7vMAFKLvL6RGDvKYH8tW2fBAMKHIVQbyI7u9SbrSIkxIHyyLjPwFjvy Wz6TxxJkwFZCOpt2NDvS/+KdNIDPQ0HlM00Vj9nRmsFJ7RhOBshGYSdelbCj oDYLXYefdDA60mCWNc6Owjg03C/m0uFRdrZ9NIUDsRRV8t+L0kHumqu/1b4t yCKvqaR3tAtGl5JseN5xotQeu5SpkA4wGvMIeejLhar0unN629rAbDROUUqK G/WkNEz0yrXAVKPzzbYiHhRcIT92o6MRVAQ+S+o6bUPc7LbuxRfrgRuWzg8s 8KFuxWZdpcI6ODFttyxjvR1dJJrkSaTWQG/DBaKdkgBSimTEU7gqoSK6yZG0 JIA0rcrCtvGXg+sWv6HubkEkclvUNVmzFFyuBlXwpgihCtl/HNJrikDVTbHb 5Lww0hLMZfqU5gNdUInHT1sE/TOeIWE0lANvi2+nKrGLIlOjcCnb9iwIIu4z 7/wmiiJ5b08OtWcA90DgSe9yMfR8rP6Qxa8UGMuVTsgI3oHEQi+22W1JggQF cY5qa3FEbvJRp194BHEprq3nSTvRlH57T8jNOLBLcOjmndiJ3uy5Kb2dfA9W 9HKYGXUSKE1/7yPNrCgYGdPxb4jahXqSjPbU8YdD1t/qEl3nJVHkbjXekZab +HeJn4CbshSKEEmMiHcIhihrF2P2JSk0pM5z4PpWf8DHVX5U126UGanitrb9 GiTvTS3qMiYhP+qL0LezPrC4YJATZkpCy0HauoajPnCqbj5N+xQJeRXazQ1+ 8QFOS6N7ORQSuun7bk6e6gN+wUyPkDMk9JAl80X6vg9Q6LYKym4kVGZy/lOl sg/w+gln37tNQvej00+FjXvDDVpssnE1Cd1O5cgQUfaCqW+0BGYNCc3WBUgW 7PACm7WFuBe1JCTG2bfNlMMLlA7YxbDTSEi/TWFX3VdP6C2UC3zbQkKKSYxP xnc9QSOJelbxIwntOOywwDvtAeOX56R4fpOQeZfw86EadzCVsM55v0ca/aig HvoS4gbHvVvPCsRII6b5Hn5Bhgus9k4aNN2RRgWthBeX612gXJdX4/o9aXTg HXz4UOYCcuIWXN8eSCNSQ0Q79bEL8Db1l+clSqOK0EQLEXsX6BWf2YaeS6MZ z/P2JVPO4NMsTPOmSqPWnG+P/uV3hoxdzns6l6RRb2DdUIvfOTi8X1HFeVka fTgm0ubkcQ4+Gi4eXFmRRknzr90JTueA63qk8Z51aWR/Irvt9Mlz4IMVXA1m k0Gh19GVixLnAEUu0JT4ZVDjpo3jxwgn+P473CFWQQY5qc7NsFQcYU/ji0Sz szJIsM7rYWbhWYhTbtjXUyeD6HJOcysUW8g7dHbrbZoMSnFS6y08bgtU3cUJ 9QYZFMJxjeKpZgszZ+Ry4ptlUH90xhA/ny0YR97ZbdEpg8y0s0Jn2m2Ac5Ai zOjD35dRSlnVtYGguJGNrkUZlO5MFBU5bg2uCxxY+z4yUtlQtIlxsATHAr1u eyUyav6riV/M3BJszod3/FYmo+P9MUtFOpZgQGdvEVEno+rz2xSX5S1BrpDt 7fmDZHS7hRn2Z54CY86EHKYuGYkZJEpm36HAhZ41/70OZGRbJEWIoVmAc+k8 KeYBGYWfiiSc0zcHr9uW60bxZDRlpTBefcgc/CzLv/A+IiNmTqK/pJI5RC/5 3Y9LJKOR2YEIopA5FGsz15LSyWi3vMuQf8MpYNazPucWktE/Dz4vTW+aQVwP b2xTKxnFjH8MSY8whZTsy5ci28mot1Ro/Jm3KWRf69Y92UFG6/ptMxW2pvBG NG61o5uMhsvVi4T3mcKAndClD5/IyInseCWbbgLyI+K630fIaGxh6NGqpAmo lQdKPR8jo4Z1iSEBLhM4HPGVeXGCjO7eOLmmPW8MJvLpJZNTZOQ7KOxR22IM Vz1JUnNz+HlDP9RE+xhD8NFbzLIFMurpnOeXPWsMEdu+f7y2REZ7vI93YPrG kPwq++7KChnVJfAgewljyLrJ4VazSkbKcTaD2pzGUGhxUSd4nYwi3l8pkZ8z gnKZFsljm2RE3zyWKztgBHULckz8BxgJ/Ch8vb/VCP4HAAlBeA== "]]}, Annotation[#, "Charting`Private`Tag$11181#3"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->{{16.153061224489797`, 1.4999999999999432`}, { 1.5000000000000284`, 0.5000000000000284}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 10}, {-0.20193294153870872`, 0.29843577744458316`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}], {478.23437400499296, -92.30444697339695}, ImageScaled[{0.5, 0.5}], {298.8964837531206, 175.8179942350418}]}, {}}, ImageSize->Large, PlotRange->{{0, 637.6458320066573}, {-184.6088939467939, 0}}, PlotRangePadding->{6, 5}]], "Output", CellChangeTimes->{ 3.676390243378992*^9, {3.676390324317307*^9, 3.676390345202203*^9}, 3.6763911361549177`*^9, {3.6763912020947227`*^9, 3.67639126014498*^9}, { 3.676391293728889*^9, 3.676391306162238*^9}, 3.676392079058054*^9, 3.676393392031827*^9, 3.676393482464674*^9, 3.6763935296962023`*^9, 3.676393587553035*^9, 3.676430702436685*^9, 3.676431465005735*^9, 3.676431495232252*^9, 3.676431829309916*^9, 3.6764318599245253`*^9, 3.676431942254943*^9, 3.676431998373467*^9, 3.6764320369428062`*^9, 3.676432434953992*^9, 3.676486398082144*^9, {3.676486488621303*^9, 3.676486508643564*^9}, {3.6764876036554537`*^9, 3.6764876290618753`*^9}, 3.676487685833844*^9, 3.6764882010544033`*^9, 3.676497139873818*^9, 3.676497433328134*^9, 3.6764975653951693`*^9, 3.676497729471182*^9, 3.676497813665024*^9, 3.676577376900106*^9, {3.676577413231312*^9, 3.676577448249893*^9}, 3.6765775224221697`*^9, 3.6766011546741743`*^9, 3.67660287769805*^9, 3.676602923682816*^9, 3.676602972030027*^9, 3.676605711192747*^9, 3.67660625193326*^9, 3.676816043894238*^9, 3.676819598541135*^9, 3.676827867306831*^9, 3.676834845334103*^9, 3.676838168045702*^9, 3.676841876226079*^9, 3.676841925215283*^9, 3.676842005062386*^9, {3.6768421074993773`*^9, 3.676842128335044*^9}, { 3.6768421681833353`*^9, 3.676842213087365*^9}, 3.676842265719543*^9, { 3.6768423355280313`*^9, 3.676842360541974*^9}, 3.67686021862742*^9, 3.676860730641261*^9, 3.676861160885689*^9, 3.6769416716322327`*^9, 3.6769417858587227`*^9, 3.676943082738469*^9, 3.676943575610818*^9, 3.676943955204238*^9, 3.676944053390684*^9, 3.67694409028708*^9, 3.677088287359017*^9, 3.677182171511278*^9, 3.677182582401454*^9, 3.6771874400158453`*^9, 3.67720163227984*^9, 3.6772038435424547`*^9, 3.6772072823137703`*^9, 3.6774634522785397`*^9, 3.677768791283386*^9, 3.677769032966736*^9, 3.677769311277871*^9, 3.6777693876748543`*^9, { 3.677770450521491*^9, 3.6777704774194727`*^9}, 3.793322209027669*^9, { 3.7938514911906843`*^9, 3.793851500705695*^9}, 3.823227641888064*^9, 3.8767888029039907`*^9, 3.876789190059576*^9, 3.8767893579653997`*^9, 3.876789420427147*^9}, CellLabel->"Out[27]=",ExpressionUUID->"68c336a6-b3cf-4377-8401-0aaf848aef43"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"{", RowBox[{"SG2", ",", "negT2", ",", RowBox[{"Limit", "[", RowBox[{ RowBox[{"s", " ", "negT2"}], ",", RowBox[{"s", " ", "\[Rule]", " ", "\[Infinity]"}]}], "]"}]}], "}"}], " ", RowBox[{"(*", " ", RowBox[{"=", " ", RowBox[{"u", RowBox[{"(", SuperscriptBox["0", "+"], ")"}], " ", "the", " ", "initial", " ", "value", " ", "of", " ", "the", " ", "output"}]}], " ", "*)"}]}]], "Input", CellChangeTimes->{{3.676497615306693*^9, 3.676497674461561*^9}, { 3.676497751555558*^9, 3.67649777245015*^9}, {3.676827715438718*^9, 3.676827716110676*^9}}, CellLabel->"In[28]:=",ExpressionUUID->"053003a9-98f2-44af-8131-22eee24b5edf"], Cell[BoxData[ RowBox[{"{", RowBox[{ FractionBox["1", RowBox[{"1", "+", RowBox[{"Kd", " ", "s"}], "+", SuperscriptBox["s", "2"]}]], ",", RowBox[{"-", FractionBox[ RowBox[{"Kd", " ", "s"}], RowBox[{"1", "+", RowBox[{"Kd", " ", "s"}], "+", SuperscriptBox["s", "2"]}]]}], ",", RowBox[{"-", "Kd"}]}], "}"}]], "Output", CellChangeTimes->{ 3.67649764972885*^9, 3.6764977295078077`*^9, {3.6764977597006493`*^9, 3.676497774795579*^9}, 3.676497813709174*^9, 3.67657737697015*^9, 3.676577448302055*^9, 3.676601154749216*^9, 3.6766028777397738`*^9, 3.676602923730033*^9, 3.676602972070134*^9, 3.676605711239973*^9, 3.67660625200463*^9, 3.676816043979768*^9, 3.676819598595599*^9, 3.676827716468731*^9, 3.676827867372294*^9, 3.6768348453736773`*^9, 3.676838168088719*^9, 3.676841876282466*^9, 3.67684192530785*^9, 3.676842005135972*^9, {3.676842107538912*^9, 3.6768421283847847`*^9}, { 3.676842168268491*^9, 3.676842213130069*^9}, 3.676842265770105*^9, { 3.676842335579534*^9, 3.676842360581489*^9}, 3.6768602186797943`*^9, 3.676860730698351*^9, 3.6768611609399652`*^9, 3.676941671691852*^9, 3.676941785920616*^9, 3.676943082799412*^9, 3.6769435756818542`*^9, 3.676943955264844*^9, 3.676944053462699*^9, 3.676944090349834*^9, 3.677088287438211*^9, 3.6771821715449047`*^9, 3.6771825824712877`*^9, 3.677187440060526*^9, 3.677201632406971*^9, 3.677203843576766*^9, 3.6772072824020147`*^9, 3.6774634523482924`*^9, 3.677768791324078*^9, 3.677769033176409*^9, 3.677769311393178*^9, 3.677769387766385*^9, { 3.677770450592081*^9, 3.677770477455801*^9}, 3.793322209073553*^9, { 3.793851491209587*^9, 3.7938515007254887`*^9}, 3.823227641911731*^9, 3.876789190216358*^9, 3.876789358002102*^9, 3.876789420465047*^9}, CellLabel->"Out[28]=",ExpressionUUID->"11afd1d2-de00-4b79-a75b-bd4f372b519b"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG2tf", "/.", RowBox[{"Kd", "\[Rule]", "1"}]}], ",", "d", ",", "t"}], "]"}], ",", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT2tf", "/.", RowBox[{"Kd", "\[Rule]", "1"}]}], ",", "d", ",", "t"}], "]"}], ",", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG2tf", "/.", RowBox[{"Kd", "\[Rule]", "2"}]}], ",", "d", ",", "t"}], "]"}], ",", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT2tf", "/.", RowBox[{"Kd", "\[Rule]", "2"}]}], ",", "d", ",", "t"}], "]"}]}], "}"}], "//", "Simplify"}], "//", "TraditionalForm", " "}]], "Input", CellChangeTimes->{{3.676816032253261*^9, 3.6768160367049837`*^9}, { 3.676816089004978*^9, 3.67681609755521*^9}, {3.6768161359101353`*^9, 3.6768162162691317`*^9}, {3.6768162570771427`*^9, 3.676816259476523*^9}, { 3.676827897183964*^9, 3.676827902261963*^9}, {3.676842043092464*^9, 3.6768420452278233`*^9}, {3.677182208790618*^9, 3.677182210750058*^9}}, CellLabel->"In[29]:=",ExpressionUUID->"6610d31e-5652-43cb-9ff2-5b22bcad6dd4"], Cell[BoxData[ FormBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ { FractionBox[ RowBox[{"2", " ", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "t"}], "/", "2"}]], " ", TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"], " ", RowBox[{"sin", "(", FractionBox[ RowBox[{ SqrtBox["3"], " ", "t"}], "2"], ")"}]}], SqrtBox["3"]]}, { RowBox[{ FractionBox["1", "3"], " ", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "t"}], "/", "2"}]], " ", TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"], " ", RowBox[{"(", RowBox[{ RowBox[{ SqrtBox["3"], " ", RowBox[{"sin", "(", FractionBox[ RowBox[{ SqrtBox["3"], " ", "t"}], "2"], ")"}]}], "-", RowBox[{"3", " ", RowBox[{"cos", "(", FractionBox[ RowBox[{ SqrtBox["3"], " ", "t"}], "2"], ")"}]}]}], ")"}]}]}, { RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"-", "t"}]], " ", "t", " ", TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"]}]}, { RowBox[{"2", " ", SuperscriptBox["\[ExponentialE]", RowBox[{"-", "t"}]], " ", RowBox[{"(", RowBox[{"t", "-", "1"}], ")"}], " ", TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"]}]} }, GridBoxAlignment->{"Columns" -> {{Center}}, "Rows" -> {{Baseline}}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}}], "\[NoBreak]", ")"}], TraditionalForm]], "Output", CellChangeTimes->{ 3.677182211323977*^9, 3.677182582687406*^9, 3.6771874402702303`*^9, 3.677201632626742*^9, 3.67720384380422*^9, 3.677207282614703*^9, 3.677463452581106*^9, 3.67776879154617*^9, 3.677769033419799*^9, 3.677769311613859*^9, 3.677769387981476*^9, {3.6777704508125257`*^9, 3.677770477665225*^9}, 3.79332220920924*^9, {3.793851491373206*^9, 3.79385150088878*^9}, 3.823227642075248*^9, 3.8767891903908052`*^9, 3.876789358172935*^9, 3.876789420633774*^9}, CellLabel-> "Out[29]//TraditionalForm=",ExpressionUUID->"0d287635-74b2-4894-98d2-\ b620595d1454"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"eqs2", "=", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"y", "''"}], "[", "t", "]"}], "+", RowBox[{"y", "[", "t", "]"}]}], "\[Equal]", RowBox[{ RowBox[{"u", "[", "t", "]"}], "+", "d"}]}], ",", RowBox[{ RowBox[{"u", "[", "t", "]"}], "\[Equal]", RowBox[{ RowBox[{"-", "Kd"}], " ", RowBox[{ RowBox[{"y", "'"}], "[", "t", "]"}]}]}], ",", RowBox[{ RowBox[{"y", "[", "0", "]"}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{ RowBox[{"y", "'"}], "[", "0", "]"}], "\[Equal]", "0"}]}], "}"}], "/.", RowBox[{"Kd", "\[Rule]", "2"}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"DSolveValue", "[", RowBox[{"eqs2", ",", RowBox[{"{", RowBox[{ RowBox[{"y", "[", "t", "]"}], ",", RowBox[{"u", "[", "t", "]"}]}], "}"}], ",", "t"}], "]"}], "//", "Simplify"}], "//", "TraditionalForm"}]}], "Input", CellChangeTimes->{{3.676830089988242*^9, 3.6768301320965776`*^9}, { 3.676830172352146*^9, 3.676830191928865*^9}, {3.676842048284214*^9, 3.676842050523653*^9}, {3.677182217478765*^9, 3.677182341457481*^9}, { 3.677769286326721*^9, 3.677769320052544*^9}}, CellLabel->"In[30]:=",ExpressionUUID->"95e0b675-7ca6-4b52-bd2e-e5ea79f08e59"], Cell[BoxData[ FormBox[ RowBox[{"{", RowBox[{ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"-", "t"}]], " ", "t", " ", RowBox[{"(", RowBox[{ TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"], "-", TemplateBox[{ RowBox[{"0"}]}, "HeavisideThetaSeq"]}], ")"}]}], ",", RowBox[{ RowBox[{"-", "2"}], " ", SuperscriptBox["\[ExponentialE]", RowBox[{"-", "t"}]], " ", RowBox[{"(", RowBox[{"t", "-", "1"}], ")"}], " ", RowBox[{"(", RowBox[{ TemplateBox[{ RowBox[{"0"}]}, "HeavisideThetaSeq"], "-", TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"]}], ")"}]}]}], "}"}], TraditionalForm]], "Output",\ CellChangeTimes->{{3.677182238328603*^9, 3.677182259736835*^9}, { 3.677182292042904*^9, 3.677182341923278*^9}, 3.6771825827418127`*^9, 3.6771874403328648`*^9, 3.677201632675681*^9, 3.677203843850811*^9, 3.677207282667153*^9, 3.677463452631495*^9, 3.6777687916016006`*^9, 3.67776903352022*^9, {3.677769306656385*^9, 3.6777693210181704`*^9}, 3.677769388032874*^9, {3.677770450873556*^9, 3.677770477725691*^9}, 3.793322209251327*^9, {3.793851491479101*^9, 3.793851500979508*^9}, 3.8232276422194357`*^9, 3.876789190432808*^9, 3.876789358309629*^9, 3.876789420771721*^9}, CellLabel-> "Out[31]//TraditionalForm=",ExpressionUUID->"05bfbf41-162d-4abe-8ac4-\ 421a09aa6b13"] }, Open ]], Cell["PD control", "Text", CellChangeTimes->{{3.676256123319852*^9, 3.6762561340117064`*^9}, { 3.676256527464588*^9, 3.676256537807025*^9}, {3.676390134403613*^9, 3.676390134811151*^9}, {3.676432290911524*^9, 3.676432291046063*^9}}, FontSize->16, Background->GrayLevel[ 0.85],ExpressionUUID->"63e733b7-036f-499d-a3df-030eefae8655"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"K3", "=", RowBox[{"Kp", "+", RowBox[{"Kd", " ", "s"}]}]}], ";", " ", RowBox[{"SG3", "=", RowBox[{"Together", "[", FractionBox["G", RowBox[{"1", "+", RowBox[{"K3", " ", "G"}]}]], "]"}]}], ";", " ", RowBox[{"SG3tf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"SG3", ",", "s"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"negT3", "=", RowBox[{"Together", "[", FractionBox[ RowBox[{ RowBox[{"-", "K3"}], " ", "G"}], RowBox[{"1", "+", RowBox[{"K3", " ", "G"}]}]], "]"}]}], ";", " ", RowBox[{"negT3tf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"negT3", ",", "s"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{" ", RowBox[{ RowBox[{"y3a", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG3tf", "/.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", "1"}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox["2"]}]}]}], "}"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"y3b", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG3tf", "/.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", "5"}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox["6"]}]}]}], "}"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], " "}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"p3a", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"y2b", ",", "y3a", ",", "y3b", ",", "y0"}], "}"}], ",", "trange", ",", RowBox[{"PlotRange", "->", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "1"}], "}"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"u3a", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT3tf", "/.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", "1"}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox["2"]}]}]}], "}"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"u3b", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT3tf", "/.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", "5"}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox["6"]}]}]}], "}"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"p3b", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"u2b", ",", "u3a", ",", ",", "u3b"}], "}"}], ",", "trange", ",", RowBox[{"PlotRange", "->", RowBox[{"{", RowBox[{ RowBox[{"-", "5"}], ",", "0.5"}], "}"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{"GraphicsRow", "[", RowBox[{ RowBox[{"{", RowBox[{"p3a", ",", " ", "p3b"}], "}"}], ",", RowBox[{"ImageSize", "\[Rule]", "Large"}]}], "]"}], "\[IndentingNewLine]"}], "Input", CellChangeTimes->{{3.676432298991929*^9, 3.676432431939209*^9}, { 3.6764325448829613`*^9, 3.676432574408371*^9}, {3.6764326061149273`*^9, 3.67643261212192*^9}, {3.6764863825642242`*^9, 3.676486437278077*^9}, { 3.676488182891757*^9, 3.676488187899344*^9}, {3.676497581469248*^9, 3.676497600683674*^9}, {3.676497808117062*^9, 3.676497809328231*^9}, { 3.676577169875874*^9, 3.676577174001404*^9}, {3.676577225560358*^9, 3.6765772698475924`*^9}, {3.676577563865212*^9, 3.676577599834036*^9}, { 3.8767888164254093`*^9, 3.8767889168223877`*^9}}, CellLabel->"In[32]:=",ExpressionUUID->"d1a9b2ee-73bb-4134-b7a2-8d7c90ddfb9f"], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlmk41W0XxWV6kMrQpEec41QUKU1IrLtQpkwRITKEEKlIUoSEVEhIgyel SaRSMoQ0mGfOXyiVeT4cMqb3vJ/29ft0X3vttfa96Q5epke5ubi4pBdwcf2/ 3r3gwK/kdEWDy0rh+iZO/dRAM7CgHcMex8JXt4WP4e+XghAa7SzGz6+hSqb8 cLfoqjQfLQIr7iQdulkXDg91n+OT0regKtvlJhKaiIZZ1ziW9FMIKv6+NjTw GP+0/pIdks5BdfaMytMvb9Fc9N5nsDcHpy3+pJ92y8azR4kfB17m4mTAfnOl Re9geNLQrl8zH1GfFbRDjHIQL5gb3+NSCC05ucnnJXkQu1PKPUoVw+Tex5ab mkW4X57sPSBdhvmwcZKU+gnjiW82tEeV4T9fFSP9oU/Y61LRUT9dBrEY3oRT 2z5jkGfSPLehHC2CO14ofPgMFXXDnRGXK6EwaTJr1vgFtS/muGVHarBtjCW8 4lcpxCBou0ixFrccw6au0cugti5u52WnWgiJCwhFHCnDtfGnbP+6Wkw8rNPl /1aGbTFNRx3S6vDWqKNKubYcgeUKekp2DZiL9I3n/a8ST15mr0u72YD7q43V B6lK1Cfu4Vlb2YAlc1JbjyypwhoXy/yVqo34JlUfPhJQhXKeUEUu8SZs1bcS eW9ajeXqrWI1X5i4Q0pK4vtqkPEiotVDsQURen5ja5zq0C/WH6Vn3wIFp7qf /H51kPXV05CLa4HIFR3jgit1+G/Xwvsd0xz2OBWV8aoOsWVRzlafW6FXKpCZ NF8H347ro/tsvkHv5gaJmmv1eLWXlbL2+jdEf5zaKvNfPUaeGpvxFH9Djnqy hOHLerieEM0ukP2OAKmV4koN9bD6Exuwnf0dy2oUbdcva0DywooQUe0f4NuV rScS2wAN9XM2QbY/0FCnJylwvwFtnvLbR878AHcbrb31RQNW1l/prnz2A7Tn T0dWVDUgJtFAN1zkJ7LrPqr38DUiZG314r+tPzHU+SVJyLsRLqi7NXiyA8Y9 JaEPFJvAlfI7t/VKB+SS9/+nptqERF7JtvKHHdBPGnR7q9mE0jJnqafMDqzc Ov7IzLIJcmZzKUd3dsKoNWlQOagJva6yz78v6IKtW9XuvPImBFUYVFWt6oJW 7iP96IYmrFQ8OZy/tQtCmdFuem1N0GHnb759tAsajksveg414el50zcWZV1A P1niv5gJt9jzBbXR3dDW13mcr88E90RKe+HTbrQq1z1imzKRZFHK9aK4G9az fH2iVkyUS4prXh3vxtXXze95XZmQf/ykRNeyB1+T+x1Lgpn4JFjdq+Ldg46Z W1t3RTBh48EWlIvsQd6looO3rjMRpaRhwJ/fAz2qWXrRHSYG8xpqi6V7cdPD 6sz310yESk2PvlTphbglO/FWDhOSF6XE75v0onYN9wqNQiYM9h4zDwzpRUdn 5H3NcibSa+e/qvX0QvXGFWi1M+HZtb4jK6MPZvtsJXbwUfhh+1XgQ1kfUre0 LGcLUjjQHK5Y1dmH15En0xMWU1Cp6Dnbtaof+z3OkMQVFHhepoosv9wPFyc9 5XNyFHw3mO+QSenH9TUyymcVKPQ+4LVRfN8PB59e3iObKVTHOz7ey+7HsN72 xF5lCokBdI0zdgO4SuRs+rQpCP2udQzxH8A765s3lXQpnPcKirh+cwALz57I dDSg4ODQ3vi4YgDa5JB4mCmFxtZrM6+7B6C6sTXZ15zCPnMNWtGCQZxIeR1v YklBQeeue7PyID6kGRuUHKZw74NBTKfpIPqCI4wcjlAQVZt7yzo+CC/XBXt7 HSj83mjNLfhwEBmd8TffuFD4IC5xS1VkCG8Mss4fOkFh29XSAm35IYTt3v3V 6CSFR/x+nSZ7h9Bn/F11y2kKUdPMTW4BQ3gkdjk67wyF+ZNh5r4JQ0ipKvvk cJaC9+D2c8GvhvAiMzvgtz+Fg+1xX5J6h3BgPpvVcZ5CqaXW4COeYSSwrPvU Aymo1bNFX0sNQ3tV9ffQIAoZ+g+UC1WHsRUWI+8uUqB9Nj1cYTYMZQZRbQmm EKvBHUJ5DUMusq6lN4QC37uXTzoihzn+NBvrDKXQ/0xkfLZoGB2+xnOpYRRs 1hRJCLQNo/O6tbz7ZQo1d72wdHIYC/7660qFU9izQvooTWwEIuGTpws5nBVd HamwcQS9wxKVhhEUZIUuZKrojMB2csPxSg4nhWxkajmOQPfoKV+VSArCf9pm jS+MIHBOjf8GhwN9o+iHb42ACqra2cbhsRG1fceyRrDu7YktS69QcDo24OFT MwLNI54L1ThM/UqKvdg/Al7NJZ3GHF6ruLbtCzcLxQp5LeYc/t4/N2wgwkKP wvNFehxOfNy4oGE1C88k2hM2ctjE6fnSQ/Is6C8tvcHFYSF6qGy7CgtCGq3/ fuS8X7orZtMFbRb2Pa7+48/hMMt7yqtNWfi+9Vv2Gg5rnU5Dvi0L7mmX7Yo4 /XFHv9tn7c5CRJOh0P/7L0r7bDRzhoWGs6+rqjj6XCipt7gVykK33Y5CcHhX R7udSgwLNkaW4w84+s7MD7pQd1moX5IUPMPR/92qGS/fZyx0uAYEanLYd8c/ fsuyWdggE8QVeImjz3F6+IFaFsobhjurOPPMjFCMHmtjwcra+tRPzrw9U9US Y/pYuG4/2NrD8cNAm/mTGu5RHBQIjKni+OfZlEOm55JRSKsEC6ZfoOC69MS7 RZKjmOVNfxnI8VunfmSp/vZRWMcF9M5z/JjiklDbv3sUy7tlUtI4fj0S8rA5 wnAUpmz2T30/Cm25Bb0lLqMosJXQc/HhzJtZwXI+PYo1Bl53f52iYDnWPMV3 cRT+4uxKE04+GtezBbSSRjF9884yYS8KlYmy64sqR8Fe8OjoGCdfkVnblOy+ joLbl1m82JmCTu1u1fmuURi/unpT2onCp39sdHf9HUWE8/MuKU5e832jj71T GoPD6HHleAsK/rF3vS00xuDZmrDPkpN/lYxnZ3/rcfhAkP2SAxy/dn2K2OY0 BvnaJ3M2hhTSzaafZsaPIWrzv9QZLQoeJ/hfGT0Yg0bBnFrnbgobosRzh1+M ISm5UWMvOPn+uLFcoWwMm0iI64AqZ39sceh/MjuGQoVk03xFCtdEKjbcP8JG cGu0R/hyCjnKq98YerLBSGi3EBPn6GvrhblzbFi7T1nFLOHkOV3czCKBjZlz N6Y9BTj7Udfm/KJqNhrE3tc8m2ZCM2So5qzaOEQLDJJ2tDAxNbHEx3T5BFbZ O0XJxzHBWO3w9y9jAhuLj+sHcv4HQ62siHSlCTxMfhldHslEaqzlPYH9E5Cp OMDed5EJ0033SwpCJrD40/B8+3HO/nfdskp+dAKr1bpt47SZcGg1K+Sp/I1S 46ncSyNNELr987j319/YKnHcn6+/Ca+sPCXbu38DDWyBwM4m8LRcPpu7YBI3 9upW2H1twsPm3K3eypN4ZHrj+NfiJnQ30Z58T5mEmdZdj5y4JrjVDkbnnJ1C vGSX05VtTfD+HOrgJTuD1d9jZSRdGvHyhPCBlbp/UCQYIPKrtB73z7n3b7bg Irt5gw7pj9ciOHnOZHxwAclXre9bElINroYfJN+fh1wS/bguZ38F1p129jPb wEcsuaslY/8pRedEwsGF7/mJuZzCc8Htn6HX5XY+1luAzCa2zDe5F8OwM1pe SkqI8O77N7F1uBD9Hx2CStMXkh/PFfNvUHlQFGWu1rRbRG672+8p6c2GECbs 29iLSbmzq3xjehb2DVlNypiLkLH2b8to916iudhpgZWCKIm8YS78lj8Db8I/ 2dImRMnw4x9az6ufwpnP50d1tRh5YHLB8mhLKhxPnnsjnCRO+qJXlvU/T8Em F/lqA/ulRDLzNl/qZDJqxBQW+qguI2LMY7ON40nIywi+rcCznFhGSwVZTsTj 3IINxpXflpPwhWP1yZo3INTmr+OZtYLsXai9KVspGl2P6HHJAStJmlteKG/o FcTJSfDmmEuQuadvPz/85zKik5xL7GmryCrJI/s3B4TAKu5wtXDPKhKW/uhG VFgQprRSp5ML/iWzO83M3e6eQ0fXHr/iy5IknylxSMn8DFLUlf6tsl9NkvkL due4n0L6JR9Rl41SZGW/WHbcoRO4bO6ozzMhRXZYefhFJrlje9v9p5erpMmA cp2h0LgzRBRdp17USpPV+YxslU5nDAYq7mtukCaXRj/WeDc64yEjr1OuRZq0 eNRP8LxxxlL3Runybmlicd3N+LGvM2YCePT5uWgkv+6eROfsUXxduOODjgSN cL+vq+RdfBSJ62+nV+nTiOic/XIvI0eMs/emhuynkbkIgcLfxBFGBWN3VI1o JPqjp3DEFkfwH9CLSjWlkaVT875VyxzhEzDtdv4QjcjeqXnT2OYA0xoLuY0u NJIXoLaJ6eEAYZ+lD6KCaSQ22DDXK84egUVXE/VzaOReCT3Ui+sI+r8VxU3n 0giG0xZr9Nnh4Cw7+nE+jVgYhqlk1NlBYYdVBE8RjegL0D9/SLFDc9o6/7wv NBIn9d0lS9sOWxIKreUbaeTBq3Hu99ds0X18VGrhCI08Gt0cwr/xMPb/a55a voZOlFVUaEsTrZDYqVhkvY5Obol27Xx9yQqd6QKtg7J0smAmpdb2lBUCSL7I Enk6edDwQq/V0ArPjzICDijRiXXavTBXfivO3Ttq2qZOJ+3stdcrzxxCidY1 ruGDdKLiNR8e4miJ3Z4l1qIRdKJlHx4vdPggZpr79n6KpBPV8FKfXQYHkaUp vOVMFJ1kt10u8Fc7iHUSJgLfrtOJ/5yvs+SqgxD+1JL1JJ5OXifm8bEpczRL DC8iD+mEzGx+12VujhOflxZ5FtLJ02/eto+tzJAs6bCmcoJOMpQucNVdMsXO rfKKDpN0MuO9vLzEzxSNuuPKU1N08nCJZ2KJuykEzoTpr5mjk5DzHgq/TExx ou7ZyQBuGaL+bXVMsJQpSBi7SGGJDJnyF9F1zzHBr5HQw1flZIhBCsMka8IY az4+jje0liH31pb+LFlkhGqFqYdtNjIkRj+2U3/KEH7xOq/dbGWIjnp+xPdf hqg41lcTZi9D8i8tjN/0zhAnReQFC11kiPjb268CHQ1ReDjj3KbTMuTzaEpr Tf5+WE1lHRG5KkN43hsND581QPTG4g31BTIk09vXS1pSD09UrAWDi2SInd/j zLMCeijUHO9RKpYhjB28F36N62L40LrUmM8ypDvqRnx7lS70wyKlTSplSHWK QWZYkC74202X1n6VIc90iUhQrw7ORXf8qRqXISyTwfrW4n1wZvPWlW1gENP3 +/skkrVh+0yr2kaBQQ4UK3z/eV0bB+1DK0Y2Moj2QLBjVpA29tbwfFmmxCAi P2S5zjpoY10ad54957gsYVqlBq7TRpcDV+q0JoPw8N0qPJepBaf6Wb/1hxnE 93R81FyFJhxejtEirjMIV6Sk/hfpPfAIPjCnF8MgevoB4kGie+BzIIsSvsEg QTdX/Nbi2YPwCZ9r0fEMkvChrXukezcyVKdnE+4yyEfH1KCyjN2Y/vCX+SiN QTrNwwZCyG5E1wtf/VTCIFfEz0t/cydIenDcNayMQWpemfD02xI8OF2tqVPB IF31rfNcpgRvl0fPVFQzCL3MSWq/CkGblbhrQxODDE/Gyx3mI5DtkND81cEg xodrXNL2AJuz/KUedjFId0PnBNcGYOel1umjPQzyuo+/4JgoYCB7N7Ovn0Ee WkkUnv6hgZPuNKnRUQbRXStGeQZqIGDXxelXbAYZOiYbbuOigUuLfjWenmCQ XMmkKRsjDSS+eHBlaopBBLeRlpvSGkgJ4nXJnWGQ3ZUlCtX/aCDN5OiegDkG WbzTfIEESx1ZMl9Wa8wzCBJidXyb1VHAXjfNOQDI/T/r2V1F6vgfIPO2pw== "]]}, Annotation[#, "Charting`Private`Tag$13634#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVl3c81e8XwI3IyN77XleU1UJE9xwqIpGMCiG77GR8ZYWMlFGyyooSSpGi SGayb6gUsjchI6L63d8/n+f1fj3P+Zz9eT6HaOtx2oGOhoZmF/Xx/zUj2JZx n30smWZOYEWRujZ0E/TPEC6C+SGLW/7bLsK/99XhBMJ/kI1dVfFT/pBRc0uC gRADBmkPC61LosH1sI/bL4k0aEqxck0/mgrdm85JixIFEMvd5/bSMx98m8T3 LpQUQufs6/O72h6D8J2e1vkjT6A7fCE1UKoQbGWRftbpGeSkSKwMtD4B/yes r39+KQVVU+9kls3nsL1vRGZe4jX0NsfR2X1/Cb01b33mpl6DyrkLieeuvILC R6n1syVvQNJscWqKqRwMLhtYzxypAp3Uvx59ChWQzPwmedLpHWipb5w87fQG uO9/oFv6Uge2SQSXhPRqyGnJ8pqVaIb8h0bsA0z1sJL6UnbwZjNEJg537zpa D9pOraNdG81w2bWitSW4Hubof5m+6W6BVn2fo/w/60H1sMGhmKg2yO4vujRP aQDKsy06mYVO6Hst5PvE8z1wA7MVmyIFojIp/PM570FdOulQlD0FRh6WM6R0 vYe4lYLlgI8UOFzaYiy3vwmUEj852BZ9BP1jK2d9ZpogpEVeb591N2yxxotf x2Z4XFIuXXS3G5hVdhoNOjdDV6oW/c62blCrUlMoS2gGKaezVYJqPUDklhXu +t4MLfQRijQ8n0C9INh780oL8B/u4+58/xneql5p/RbTCijluHD8z2fgfe94 zaywFS6yLrXWHfgCtBeO+Vq2tELVV8brr7K/gCCOz7Mwt4Gt7/5fGQG9QMue 7bTjWhsUP4vpc1X8BsV6ShftLNthhnvmpt6Fb+DjfzIOr7SDjK8eeVfSN9iR QrevPrYdsjVYc0Y3vkHwMndJ5et2uN1809G8sQ/eLfhO3eTqgA75eQHV9T4w +C9BvUC6A1gTTjbzyfVDErObh6d6B0SYsct/TOgHkaCuJVr7DvAdjV/SsRwA OWeGJ1olHVCqvfhgZ/wAeA3OGzbVd8BCwSkT+roBkOmzbtz81AHOnlzl1TLf oTrzSIbvRgeY/7kdqLz8HbifvDvRqNEJWayt4VzHhkBtbtftEy87gXz4qmWo 1RDY6q0r8NV3Qr+7nPKC3xAcm/VZSqF0gmBX7ERb4RCs6QjJtc50QmKqvm40 5zCsVkgzbLFRYG/LFvHX7mHYp9uJ7TwU6Nh88tvhyDCI/yMeDRKiAIs125Mj vsMglbicGyBFgfCdHez/+oahUjPqy5IqBSTPBE+6rQ6D3nKNdc1hCtREK9b0 s49AgxJNmYcWBbZm47zeaI5AuujbOq8TFEgXA73dFiNwPcPob4MhBVQNFyRT r4xAgJ0Q029jCviUGvb45I9AjrdnNIslBXjH/j0ZqxmBVJOq4AlrCpTyPb9u /G0EMu+GkB/aUeCHP+fBfWyj0HnZhr7tEgWc4GPa3OVRuK6mRtvoRwGaB2tv +mJHYWTb5EZxAAVSt4n2t+SNQr+bTkZwEAU+NDuKF3wehbnDue86wyhgI38T UhdGIfugzROj6xRYjyuxiWIag30rpyXeRFFgl8nWA4dDY7Crz9IbblL9fUVs MDEeg9GKpFrLOAqcFdIZP+I6BmsxRa4XEigQ/T1RRjJzDLKXTmYRkyhA0Cw/ zlU+Bvlf3scM3KVARW7/RRrKGHheXE++lkKBKWeZJ99px2H3HpvBsHQKhLbq t7cLj8ON0vCgoXsUEFS8/KPqwDjEhR7aJpNBgecJKRxP9MdhATfzzDIpcHy5 au89h3Gwu6eR6JFFgSHTEaMbweOQe9Dnt1c2Bfwrtnv/lzIOF9+KcFvlUIBT RCHJ+fk4uPQ8YlZ6QIGCoNMvzzRT5aVuca9QWWvI77P2yDh4FMlYZeZS4JtW xi/lzXG4wmksciCPApcf1gnu5J2AZ4QC31IqszBNqfEqTIC2eOl90YcUeHCJ zYJeewIunFh77UXlQ+37A39aTcCumT+/S6jctedsxrDfBDRoGN0coPKl20HV lIQJsLjun75CZbrVB4PvCiaAn3HL6BeV0898oHlWNwGitPaD41Te/2aemNk3 AckVqh41VG4R5Tlya2UCitzpFKOobBuiah/INgnhDrrHD1H59/D56y7Sk6A9 eHfmK9Xe20fDH5nDJIiKe2o6Ulku/3GT7tlJkLe3+W+Q6m8Dc8eUqtck3An/ UX2Mypauy8y7bkzCzEGvw2nU+Kx0CMoJ5E6CZORZsW/UeN7cR9ZnrJoETr1n kUxUlkqyc1vtmYQb1qE5UtT4V61Fx43NT4L9g893Fan5mavsptRJTEG8BLlo BzWfEeIbSyWqUxDL5SA6TM236DVxnhyjKVDP1tieR60Hfe2LpiHhU8BFv3tm lVovY4/jfN3vT8FQnPH+68kUCGQtSzn/cgreSJsn0VPr6ynl71f1Ser+tLR2 RyIFtA9IbcrSTMOXNroJYWp9fr+rKyosNA0paaN4hlq/7BZJVut606B0iL0h 6wYF3Md3j5YVT8PXR4+/elP7Y8jqK1Nt8zR8PC+3jTuUAsa90YrtY9Mw2edk lUntJ9XWyf/GhWcgrt7XNMyfAvQlDzn5o2Ygw+KDcqAbBXxlTVUkH8yAjeNq YwK1X6dyt1kqvp2BUPunc0lO1O9Psl2+9vIM/KRIl7heoPZrIJHsZz0LGhEJ f6xMqPW1RrELD5iFV+nbpFZPUSDIIzQm/u4smDjOqAeepObbdrAnv3UWrPzc vp7XpoD88QyX3oNzYLJB++fyQQrU8gilqXHOA43WlDejAAWUbn2oPiY3D5Ja fwvfclPgEaP/mJH2PMzZcKg5s1PzufF5z6XAeeg3ub6cwkABs8Gk9+lT87A5 FjrWOtEJM4WcK5s1P4DQ/zG4NK0TWIgRMoOqi9BcNOBBt9gBHzQS9wQfW4TA HvesmPEOiDybeVDs9CJwu0m9p+3rALqECh0Ll0V4/M7iaWNjB/z+O+f0JWMR qh7d/pid3gGz/aaPO+mW4LLV4HirZge0pcrsrmlbguoq4gViVDvEcbbK5tgs Q3q2w3P6tVaw7TN5R9+2BqefC+5PPvUBvBojbD1kfoPXVIJIcWUDlHjuMBbU /QOc4hB7ML0Wcq66zOw9Q4MUKY5Dr4TeQljWltHKHC2WPTzCc0qiAmi6h7Aq gB5lPCycO2deQMR0dU7ANXr8sepH2Pr6AphpMujUoulxn0ZyqVLzC+BWONfw 8i49Jj7af7o5/wXsjPqo8+w5PSoaOGyFOLwAPfU6gwcT9DjREDElPloKd3Jz LaNPb8Me4VdBdJMlIH3F0d9ElgGvuqSs63M+B4VDg8ZZexlwx6eXvWr0z0GJ 5uyeGRUGfC7RMmM99wy0bupOhBxhwPJtkXkeFc/AKk/epMiSAd8y7FFzMXoG yT0/99DFU8/bLHK2RhYDg3LI5LNlBoywjWj68fcJjK2mmLG+ZUR21eu57ZKF 8EDzgPdAPSMeV82vkWUtBOtbHfHPWhhxuTZ9On25AL5JMTQb9zKiQ07Y3rKG AvhofFn9/jIj1g/Knmx2KoDqEn2Cgux23LW7KNa75DGkuNHOGKRsx6WLLQZ+ p/NBb/xS0G0vJkyV2NlX8SEPtINIT476MyHLpQM8vS/zQIuv/9taMBOKL34e Z8zNg0PHTqpa3GRCBqesvXeC8kD24Z5lUj4TjjCGKTkcyANWhxXnl/1MeOfR fPl4Ti60jQWZ9Oow4ykF3WmOGw/AYCxBTlycBcv8gnq7I7KhTW6sx1KKBYub OI0SfLPhhPfB4HuyLOiqHS931jkbjtN9pwgeZMFH6lGTzPrZoEWQ8+U5xYJD Kyu5KzzZoGzZWMMUxoKyWsUTNSeyQLRnw3R5nAULzsdAeW4GzNTbhn54yoo6 x69wRiamg0Ri76W4MlYkkM4yavmng4mVgalJJSsKibxz4bVOh+p1NdmhD6xY IhCEW/LpcFuBq+fXKCvGVUWrfm5OA/WUdzIywjswstwqLW97Gty8JNp5PXIH zkUydCndSQFFrs9iR6zZ0Eqb1B42kQQTtybC7jqwIWOczO/i7iTIYPk1OenC hnF8HjKzNUmwY5tg6U1/Nnz65fypO/eSYGbtnPbnRDZ8ROkOyDFKgof9A+4X G9jQctHPprDmDog+Hn8Xv5sdfe+EEcQKbwMLrF7oX2bHucS57YyPE8BfcxfT q9/seH+adjwxJQEmjlgUx9Ny4AP6ZWWFqASoO177W4uDA8N87f8mOiZAwOlb dwpkOTBK3PkVt3QCzDrsbPS9wIFD54kmLYbx0HbTdBdXJweKBezQHHe9BTrz 5r8kTTnRxczSdcdGDGTyhneHnOXESzKGSgmDMbCiXvSs34ITJ7WdJuXex0D2 jU2nZFtO5ONMf1t4JwZ+y9zvZfbkRC7SjsX6PTHwxHbg9eINTgxhUc447RoN nL3WgdU1nGhQQMo7vRYJvXX2tObyXBiUN5xZoBsBi5rfhIP2cOFaX+i5CZUI 2F5rqJS9nwt37+l9d0AqAlTeHXKaUOXCkKsLJjT/wiGpkrP98jEuDGvJYLZ+ GQ6GZVWpsVZc+PdExi/pneHw/iHv3rcJXMitnno3kjMMvkvd0B26w4X+jTJ9 1f+uwWruP1v6FC788CRKhnHhGkg9mLmrm8GFRfeIObXt1yAss2bzUwEXZh7O KJ6JvQbkFNemH3Vc+LHw6fQGyzV4Gd1gRVjlQhs7YtxLnlB4rNcqGLXOhdsq FEu86UMhfUdX1/wmF14ZVLkYPhECoQmD2pV03Jh7l09b+FEI6Kf+VjTj5EYr eg6BGukQGMnf+y9WjhvXac/MdCkEA3vT/axfF7ix4rbvTv3TgeDI4DPU0cGN vmfv6Zb+8AdhieYvmx+5ceRXyNeVz/7QoSrWuesTNxZqGp44+c4fVFwb34b1 ceOoFV04JPgDYzffPZUpbrQQkuOWOeAPD7NfmWbS8iBr92brz0A/GFNfb3FT 4sGknAA7GoIv2F2++nJHOg/KiHEcFsj2BpX931/uzuBB6QMWfrm3vIHlJ77S zuZBsWH1BLzqDc+9GMtDH/FgdFkJ6amZN2x5JlaslPKgI4OiugG7NyR75Ff2 t/KgU4l1QG7oZWh27a598ocH015oPVfy8oL78ip1zTS8SOt2qqjGxgs851Lr Juh5cc5UosrilBfwu1rVE1h4USCnea56jxfYukw3JPHzollUh6zqgidsXfzX FLiHFx9N3xSb9fSEPU5yHfoXeLHWff736h93+H5RwuOpPS92fg7YkP7uDjdd eTjZnXlR1bqp0a/aHaa9No063Xkx6Iedjn+IO+QGtn4yCuTFkk98bkt07iBw 22XALIUXa94ICBVwuMG/qqI5m3aqvEmz0UVwgeJ3WbdqKbw4aiiZbk5yAcu6 O4qSPVR/3mQLOG93gddNVz1Hv/GitciNI186L4F314kVhyle3DN05Ry97SWY nJzdvETPh5EDvacCYi9CJ7c8q48aH+79ds9I5qcTkN3cpu9p8KHnz0B9rj4n KG4qbqoDPuzYrs7I1eAEcYH7Iji1qedjFS4aJTuB/oTKn6LTfPj9/vaP3epO 0PJac2HEhQ+ZFd10O244QqPNme5TmXyoJjI1yq3qAEqVqSV+OXwYF/jeOp7k AHl83+Iz8/jw0L1GZQkOB4hosdSfK6Tqk2Ir9p+wBy0l28aocj5s4GGj5Uq2 h5rtbuXVFD5ULVeo/LBuB5XFYffk6flx+EN/11CrLTDqmwqnMPJj4JV3zpIV tmA0LZNGy8KPcd2HTvjn2cIkqT35Myc/Zvr25NgE2QJPmsDtUHF+/PU19Dhx ry24hD+J7lHjR3nSpUOn0i6AyNnPPoGe1P0Xi6tD/9mA4+rjlQlvfrwRXb5w 3dkGSm5f9Tby40fl4zWfNM7YgE47wUs6mB+V9qWLDynZgLeWiysllh9/Rm87 szpsDa3yNHZS+fx48Ibn+GCvFVyllT3VNsCPZ8MFIqoHLWHiKGuv9DA/Pgxm M2ivtYRT0XPW18ao+g7XxPzOtQQpjmceKrP86F5HP/LM2RLaRJXis9f5sY0j bTJs2QLEVckdV3gE8NvS0+7n7BZQ535aX0xXAHffZ7lrY34O5EsP9PjpC2D9 z1wNBjwHyau8ll2GAnjQ/HFFw85z4BL4xSXKTADFWiRb7yydBd4blrFLdgKo xGGR63HjLDg+dGxpDBbAjwdrXJlqzwBLf8Bx9zIBLDt5t45T0wxU/ArY4ssF kCmnIs1dzgwucPd2PXsjgLRX1QSG+cyg4rjy+aUaASTUfyyjnzUFx5cLXlfa Baj/Vx3ah5NNoTbO/l7AhABqZXf7eC6aUO8jgx+RgoIYXLY4YP7CGPL6A1/k iwjiiIET7s42hk6/Iv8P4oIYX8bGyHLLGKSLmehZdgriZeduHzonY+gWrhe4 tU8QaSQf0reLGIPiykHNO3qCqHXWr/J19GkYf0RMygoUxJm2MZ2rHkYwFzG8 QR8qiEnZ7+kYzxvBT9sca+dwQRSB8NVcPSOgkSDK7bshiA0lJipC0kYgnEKo q0sRxGTNTo7JgVNwKkpicbxUELcVfvX5d+oUVDmJ6ctPC6Ko2aNP6jEGUH9s oCRhThCjlV/VfXI2gBZShsDqgiByBJcFJh43gC+DoqNv1wQxAdu63ZgM4OcZ 0QDDbUI4cyz1yquYk7DruMjjyxJCSL+LUHrptj4k7RLa9tpUCJ+sDzz2r9QD Syvp/NGzQnjXetZ3IVuPOq8d0GO3FMLB8gDp0Eg9KPt3MsHOVggX6f51/DDS g57PYaLsHkIYOmlb/XdaF3iuzynZRQth53/p/T3iunB7+J0DW6UQEskD2hXp OmAu0M6kWi2ERSFXY8jhOiB58luRba0QWn4409LnogOlFStL5U1C6J9lPGN+ WAe64ncH2/YIYcQrQdGLw9rARb6TXD4vhAHBs+9LFLQhId2x6QJBGNvkl9oc Px8FP98w70CSML5+ZfmXte4oWJ3OlEiRFkahkAetDU+PgjzLZ782eWFU1c/4 4Xn9KDT/d2zXQTVh5LT2Pl6ifBTozknF7DgtjI7Zb/tr046Aj8CIXnm4MAZM z9DkeWiB5fKftY+RwrjeIe2Udl4LjnYK5c7FCOPZYSbV7BNawB1ltElMEEZz ZvqvwzJaULxWU3TzvjC6t+efPjCsCVOfsnbYvhTGGWvfTZozmmCedL5jx6Qw hh9uCPlkgCD6gkXEZUYYawkv5YMOIwx+LHdqnhfGa4GsWyryCPYc3LSRK8JY 4NRYPcSM4H7j/YF/tCL4ZOfCFt9NgLDQPWlLoiJY/F3L/Uw4GQpcae0/nxbB gidfJYxiNcA1tvi5kpkINp76wzTlqgGKhRZ/bp8TwbeRFduyDDSgdPJlsqGN CGpoPHvqyq0BVbaXmj+4iSDrt+dC4ffUgXK2W7EyWgRTtTN+B784BOtHH25k VYsgkf37WNOGKgRWZoU31Ipgmt7qyakhVaDZn8423SCCj/Yb/iV8UIXtEvHE /a0i+CqoYvZbsirwb/jrNnwRwYSubfXuyqpw4Kl+2tSiCCrlRV/a5ncQ3PlW VPeRRNHQwOrTGVYV+Bn7o85UWhRP7DfvOLeqDD500/oBu0XRopD7mtegMgQu DNjU7xFFwrGE2uEXyhDb3BRtqiGKC4WZHvXnleFx0L3e/0xF8bn9jqj/XirB 6LiWf12UKHb+0u8jXDkAWlkdD2RjRZGcxbzBaX0Ass+at9+OE8UrUpapAnoH wKrVS9LurigmeQssOxEOwLfn2W30uaJo8umgBnfHfui6+pdwrFoU43R5G3wV 9kMd15vmphVR3JNYFzK7uReIrcdW9qyL4gvtUxPB03shNOKjeOqmKCZK6/BJ f9kL5F9T3s50YrjXSzzoWeleeNMvIM7MKYYDEcq6Ty7thdJ8n8t6cmLY8N/e n/5Ve+DB4X0i7RfEMMQghnL2kQLUGbCEb9qLYeFoe+OxaAUYsR6d2e0shtI0 bjOnLikAKezum0h3MazkT8RaRQXIe79xDq+KocZz/VTG1/Lw0LAu9UWSGBpq eZVt75aDxxeM+dObxFCt/eJHXlFZ+HBZPvhDixjqqunw36KVhalwhom1djGk cHPSEyZ3w65H5S+Ne8SwNPf65bulu6FgRsSUbVgMx0/Pblbq7YZC77E7ob/F 8GjqhuFIyC54et2Hy0lBHHV0JsuntqRhTuN82PW94vj3aMnzzXFpkF85upx7 QBzpSuzP7uyUhkJb3k9DauJ4k2BwtipHGh7Di1RzbXHMu5KStKYjDXkbixIG 1uJoVmTfFZW6E9LdXBWVE8WRnlb1QaCuFHVeNckyThLHfzXyqmrKUiDUr855 OUUchU4l1jITpSBVj/VncYY4NpJVL06sk+CuTOHLXYXieJ93ZOfNAhIkDE9q iNaLI8mslRTAToIoU7sT9Kvi+JJCLHKcIMIDw35Lh3VxvLcWX7HVRYQqXVP3 pk1xdI8deZb/jgg/D+skxtJJYGB1Er1GGhEspeW+8HBKYI53a5fFSSLs//XT VkpOAk/beT+1f02A76lhAccuSODocQ9fGpSAjdubsfn2EojS0nu4xCWA99aV DGZnCdR+mrNPe0scdK851rS7S6BLQau96GtxKLuox2gWKIF6O6tLfJTE4cYh 7tuOKRI4++9aU/U+MVDuzymIapdAFdfk/ppjIsCp6Lz+jCKBWq5/L3HJisBc iKJOb7cEWj3/PRbELgJ5pMqxXd8k8MfDdcXCL8LA69Ij0TIhgVNPGSVPugjD 70D6E4w0BJxyNajKSxGCr6wqtceFCHg94lFoP70gvFdKm+oXJmAFa2Ovz6wA lJ3f4vASJWDAYNUrmW4BSHhWZ5UmQZVnu5bS80AAjhsbbk3vJODE/JllwyMC UJHufDB2PwGFk2rXXkbzQ+rue0/bTxDQw6duOV+KD1aWtR+GnyQgk+K2+TNs fGBY/fO+miEBe9faHYlrvMBorHfz4WkC0imqXqH5wAs+gRuXgs4R8LyjKGHO lRdOd57ZpeBEQJOMdma7Sh7Y4cObezOMgJ+5CbeFLnGDM9Ska0UQMD4mz7zJ lBvqmV1vr18noPHrPIdYTW4IyKy/Zh9DwMkKsz5TIW6Ybrpso5FAQKKrisdS Mxe8F/4oNpdBwAWMi5TfwwUhNbdST7wmIN/TM0d3MHPCzEBN0sYbAg55f089 scABZpvLCflVBNySIojmtXGAvIp5DH0NAc1vD000RHFAb5F0QOV7An7xDwio /ccO+1PeWcj1EFDTW40+co0NJtyWxFkXCDjPLTp28C8rGMVKibxeJGC+oZzC x0FWqHp8RsDpJwHVjvtpxtaywp3Rtxz1qwS0LmlRuXCdFfDcDZqrWwQcPRKh mcDOCulHSSMzzETkcr6I36RZ4KSI6cMWKSK+HfKN3O3OBKljijUW0kSMWswq tzZlgrGnTH1zMkS895ytr1iDCQKxipNDjohGfPL3U1iZ4IkDKdB4HxHt1B6F JBRuB5bnS6f7DxOxY4/4LdZ5Rmg6Gkfzw4yIb5biOiLCGYCb3Vkk5CwRPweN XXnixgBWXzRVOM2JqGi2c/fMGQZYu7jqsv88EdXfDVjlyzOAdLzlF187Ih5W t/CT/rINIr7KFv/zIOJ1cQFx0t5toOneZMEVQ8TlPr4EvyU6+N07rd1wg/q+ AJmY5H46KDuyY7/fTSIGDjMYtjXRgbSQEdNAPBGdeMYmrmbSwY6Gb2WPk4k4 eOhI55Q+HfQK/WDDPKr9hr71409pwbORt8b9HRE19f5gRwgNyO49WESsJWJO Lwjfc6OB0fRzyT11RJxwl/lx1YIGzDwzXQ+9J2LTm2y5/w7SgIbILiHGdiIu sJWyvBv6R2byUr+c8Y2Ix08lTce3/iVnidpKta0S8UP4yW29VVvkQwfkFG1/ EbF6XExdOWuL3KO7cnB9nYj3f3+ufH5ti8zkF3lCaouI7xvbZOl0tsieHwsv B9JJol627lPqjE3GyOUaeQ5JlDTPrMhe/E0eWYg4f2uXJEpfs4th19wgBzIa OJFkJfFvwtSDv9IbZH4xAa/XcpIodO9BBDPbBllPryBiXFESmWRC9np8XSeX 5rUXHVaWxOP9loJ+3uvk8HP8v+c1qfy85r7Nk19kqfr8ZAMLSez+cETr8941 cof8el6/pSS+mY/wtBReI/snH39xyUoS+3E3aYN+jdx6cboz8oIkOtPYNfp8 WSVf5pRjfuckiaotHG3/hayS350vvrrnClW+fNX0XvcK2Xy9zIbzFtUeT/mN 8thl8jZbBo/MOEk0dA7snfRbJhe3mgbJJ0iiMr3rGzn7ZTJt1lra8TuS6Pds SXlBY5n8+Jhqd2iaJLo1sX6zXfhJXr1deWzpoSSKSknqzZ75SU5QqJPtqpZE U0YupxWVJfJjVQvmsBpJ9PblaqaTWiK/O7Iyua9OEu+pRNXv5Foi/zgn/TCx URLNo6xFCmYXyScib0gYtUki51K2aG7OIplx8DQv5ask/qFzUDPhWiRfTRj9 074iiY9d8sqO/p0n374X2B+0JokU2tCEQwPz5MJHfJUK65K4xYilJlXz5N4q Hf9bm5J4V95GbjVgnqwyXfRTn46EGxENz0Y25siLmlcmWzlIeOnyoe8n/86S HZe3fWyWJaGnf/0bY8IM2arwaIelPAmdsjo7LjPMkM0uRLQuKJBwZvqO+tOZ abJ2J/17vn0klD8ckO39cposXURXeeEgCUX5VZyO6E+Tx21pHm4cIWEgW2Nl X/AU2b5r03/3eRKaNNfrH/s1QbaMUfetsiLh+8AXa5mDE2QTvOptaEPCOUed Ec4PE+Sjxb/dfOxIGGoMoofTJshSNzZsay+SkL4y37VMY4I8qvlL/5wvCV0V RJmZo8fJtiU/CTHxJMz4kRmcuWeM7BpmvKWXSMLWeK0BR8Exso9x2Zcdd0jI 8kGyQpd2jBy96hOXkEzCj2nDPlbdo+RitY3NlAwSWm0E09f6j5I3av99flRE 1X/+0rrRhxFyQteOWw1NJGy+kNg1+N8wOT3XzTmymYSlgvmVtQ7D5NwrHUeO t5KQ13Up+43RMPkVf8Lv1g4SThyU+bu4e5jcb87j3P2JhHW75s3c+obIMqNC R0ZGSVhyN4EQrzVE3lsWIJ43TvXnQtyZT3uGyIeu9204TJJwbLWcfp/YEFlf JuP59AwJ38nmvji1OEi+7EIQX1oiYcP4VM4uq0FyoMa1jdJlEpLv6LNsPzRI vs420nNllYSdWryf2fkHyanPcmPX10koNWTak9bxnfwgdJvTm98kZJjhfiha 9J1cZOSgFbhFwoOKb/g+RH0nl0m+FyP/JeGrQ26r9+y/k6uXpTf+/SPh1YyT PKma38n/A6Ot13s= "]]}, Annotation[#, "Charting`Private`Tag$13634#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVVnc4F94XNrIle4/PUISUkpl7jgolIaElhYyINIQifRGVGbIKpZQoZGVl fCSVskJWJFKo7F359fvnnud9znnPeM99nnup9qctHFmYmJiK/x3/tymX7dnV ToQRJl2NMxv+2ZcfKCYHKCfB/GdHm8qEC6y8qgyiUHyhbOXQdbVqH0ipjpBj o1yHtkqBB8l21+CUnpf7vFwS+EXkq7/JTICCts8PZnbcgbyw9WcGXJNhyc2k d9I5DfiP6jEJ0FJg5/uba+c+pkP6n1ZXSa178GHZJW5C7jGonbX/6GP0EC7U y24af5YFMWy3gm5dfgSSsW0NP3c8Aa77CRdL8jLBXglZx5xzQUtr3syYPRt8 nvCUTn3Mh5rZrHoVn1zg6Pmi8FOuFPSrIyKv1BRAZ/ULrx/fSyF2Q0BKkFYh ZD1MrB17VgZR1k3iF54WgulZ02OjOyrAQexYu/7NIojnKov/5lwFO1NF9sjp P4dCb+Oz58SrwYAxNWKU+RzujGpKTPtVQ4vvobqo1SXg0SzoPGVQA6a7hlXj WktA8M5rlsmPDJjLyqWuNiqDZb7ix57bakGw4A/3+7QyGPrvvvnE3VooNjzj 2DlXBsXOl1PHT76ExgGWsuG0cji8RV3n13Id/Cn6a+bZVwE7HlIH3I+/guGP /SrSSi9ARWLNtZ8vX4GtovambedfwN+/I+0/IurhyPTblDHWSrj3Nu3MmNwb qOBgnAgXqIKZxCKl/vA3AM82mmVbV4Ghc8Ng6+IbOE465NcmV8EP1nmrsg9v 4UGQggCFrxq09Ex1roe+g/X09Z6dIdUQxnNi2m/mHbTF3U6g3q+Gvi7fJ552 70GnhTL0tLIagi9kyB7UbYSgv5Jrk6eroTn3N4vCeBPw+LZ84LSqAUHgsl2t 2gwKp62z891qQHddnE7oiWYQb3jSU/BfDUTOPJ6+2NIM4BmnWZddAyU96s0z HC2w/sCJnq6qGhhgVD3xIC1w+tjt16YfakD9ZrujfXYL+K6pOG2/UAO2Pse3 9w60wJTl0D02bgaEHhuTtRZvhY3zE6sFpRjQvYG5c/fVVjgrwxd8WpcBAW9V jNWOfQDh9Lhb3l4MyHz2fF32rQ+gtGw3lhbIgNbE7axr332ATo2kCf0oBsg7 H6wQ124D11+M6aWHDDA1HUyMOd0GoRozwyL5DPDe6uHF+7ANvIXlPPIrGPCW NViVSagd9LRDzns3M2BmlI/n4u522LEqLOB+FwNkWpO+TQe0w+eRPdsPfmGA Yan8S/fidiiyexqYMMoAz7u5d7/9aAf7wVh2hykGJIfq+NvROyBkeDC2YpEB tR51h3oOdQDjy38TGUy1IKrXI9j0qgO4Av/ybVxdCyjvNL7rTwckRBoItgrW wkmeyQbGlo9wwaL5Co94LcRMXcrc5voRPp74NdErXQsVXexXi+9+hBGb8QUj ai0MV9+02/TxI/S10Daarq2FNZnSJGt1Jwwe7lw/qVgLWlGPJOV3doJy1LGA zSq1YH9h83zKxU7wNG6qE9pYC+FHX3wQe9YJl2QjguLVaqFo5668m986IZ17 Zm3FllroU/4QziPbBfqbNcRDttYCp5DtyauWXVBYcrVuVqMWNi99N1i50QWH aoSTeLVq4cjAOZpvTRfcOC3yt+EfDn799+/UfBc8GC49tlW7FnJyr/ecUu2G Vcbq643/4VHB0XBju274S884J/gPK1wwJopx3WBeecUm9h//RFfWOFt9N1Ak zSbfa9bC3W089wYXuyHB4Y927b/6vWluFjUqPZD21Zec/9efBOs71rRjPUAb y2f/8q9/ayeVIr+YHuCuik9evfmfnm/CnQ7X9YD+EyGWhX/zN6r8FNNa6IFn f8QM0jfUAk/03jciyr2w4+9Nt9XKtbBr+unF6aO98GXhtL/OPz2DrflUWqJ7 oVDPxF/pn97VpR6fcmp7QbYm6nDfv338kW6KDJ/rhXulF5kOyNbChcGoSSOb TyDruGt/smgt5BtOpK+N+gTZddkdTv/2Pf7Y3JKV8Qkuzj1vWv53H1w8BZ5X KvQBh/y7psBVtfDgwxmXO4f74PVJy6cXVhgwoNEqcTGiD8RCXj7SWGLA4T8x flun++D6xX592XEGxB+f3iC0rh8Gi3WCjUYY8KF2f//EwX54zzuqjIMMMLkh vP1JZT+8fJ8xkd7BgDSehiABg88wqjqmaVDOAKJ3yeaK7WdIV/PyZypkQK+H 8tZx78+gXTAUevMJA8Rbw4bfZX0GK7ElhmYKA24mmuy+xj8APvceFWf6MSBo bSPfSs8AbOfp+1amzgDagcvf3GcH4Ie2Ucc6ZQZUX1Ot7uX7Agp2Di7nqAz4 PRZ5pkz/C7h8vtuft5oBXvlmbV6PvkBf7MPJ90M14AwtST/ODsKDbcJrhSNr gCl9rqwnbBDyim5ZcgXVQOIq6d63DwbB7NjI7+/eNfD6jZPs445B4PSwuHfS rgYULX+nO+oMQVOKdrL/lhr47qLwpI/5K1AxOtqyrRpcY/wrm6OHQbtie0wo TzV4fF0/WJgzAo23I1s16yqAmxqs0K81AWFfDhXOZBbB6203N142mADd8azc 31FFEHIwVVPGYgK2sS1ECXsXAUt0idERtwlYzGo5dd6gCJb+/nD+mDIBk+4x cfNfCmGs1yqziWUSlK1fBdOphfAuUWF99btJ2P7apq8oKx9uFKqrHeuahPCZ vayjsfmwq1lf++/XSShOjH27yT8fXnLY7N62MglnTSSc58zyoeJC9MkStSmo dv37yX7uGTy1XHycFz8FnKW6068Nn0Ekf4PSvePTsO2b7vzfsVwo1ZQpMvWY BtPk+bG6qlwYsj0Nvy9Nw6uQpKtlsbmg+1TI8kDCNHgcob1S2ZYL33fb+K9u nIadW1Ost0blwI6gn02+ujPg3XrKoUXvKSzMrvGyEJ2FsKmxeZYXWUCXsV9Z oc8CrzG+ORefBaY7C68/VZsF1nOz0gKeWZARczCVc+8sXDU3YGuhZ4HFxnv1 lUGz4NTb/NMh4jE8ddksqTw5C7JPIKfO5d//oceyivXdHBznuH20CR4C9+0B 9zNdc1BSvFlcX+4h5B/2kO4fnoPnUit93X8zgLU71LeMeR6sRIZlQioz4EFn 2ZYzmvPwacML7RLIgOF2SmZf+jzwKwnlndn9AFybf0SX+i5A3GO/UFffdBCM 9gWF0AW4vMW3/MHRdCgzY/8VF7cAluv5NFi3pwNPk9wez9wFkDG2u6LCkw5P 3luwKXxdgL/nXkyqpN2DX29LfOPMF+HTu6nM1+/vwpm6YPvTCkvgkZDwnPN6 KsgOGbLPbVkCHaqVrcbRVGhg4crywyVYsbFhuaOWCmsxYvL6oSX46/bEla8n BbrKbl15ELYE9mcFP17flAL6eQ9Tu8aXINhraib7620QuP26e0fJMrx5kRG4 1jsJKktvXH77chly1UtrR/clgVunCW1fyzLkjR3bP6CSBHUiLSdtR5dBbujO DbvBRPCN7lrwkf4NdfXdEZkWiTBwdVQ058pvUPVrDabrJMAzT9794rv/wFRC RK+z8i14lyzk+9T6D+ioZP23l+sWDL+UTNt+4g8sXo667fgtDiQl1o+dCvgD w9uLNVQexEFwjUFQTdEfGPD9bzcvJQ6sBQMKXGl/4auZT9cAJRaWCiaFXiz/ hTwTwRltg5sg3LegbcG1Ai+rxfQWFG+CKifT8W+iK/DL1ebyAO9NcLDheyKw eQUEPdlY1Nuj4d0q5Z1OLisgYa7xotU5GlKtTpxf074CHGsmMiLWR8G9S26j mw4wIcylXaWJh8Omaq6F0KNMqPtnljXtRxhUr8pk63dgQk3G4erDNWHwOWKI EuHJhBb5bXmRbmEge/fogZHrTOh2TCGtn3EDkl+avbxXwYS7otTW9ftdh5jV 6qmCNGbM19WNUJMOBZpFa/ZJRWZUnaoV/jMfAs/iPUurVZnxeJSt1t8PIdAs 97TNQ5cZH3jnqdwNDwG+zet4GiyZUTrDqOIwUwjcsBb3CQplxvHnuXHuk8EQ mPZ738wPZlxse7O0ZSEQzDeVnFGeZkbDLyJfarsD/707527aLzLjMVdDrYAX gVD2ZbS5mY0Ffc9bmXgHBcLU2i6zp7IsuLB5Y7OTQCDYPyna62TOgmYe46oC W/8D/VKP3Z0FLDhmeWa/sHoA8BkrnVxTxoLfcvb/2coaAL3dX68ZVrOgV2Lv x7utl8Hnt83rwncs2OuvctX87GXIgz1GN7+yoJ/x+3DeIn+gvFIwMBZjxcoX 1PkUIz9g+vAZKy6yoqglYyYy1ReCRyrvXfyPFQdhpiL7rC9wMaWwaF9jxb4k k1x+I18Q3HDoZdEtVrR4/33HswkfWBvaYpSbx4rhjX630cgHjHUZpunDrGjP cSRIl9kbYu/ft7lmsQpnNhl4dWWcB/Gy/14YHlqF+aK2jaqB5+FO8zFZtuOr 8OKEcECV7Xl4+Efq83/uq1CN90bgTfHzUHIgzuHStVVoWtps9ivyHPTyXHX1 qFyFG2++mt0WchbWnXfysVRiw/Mmbxte3fGEDTr9+9M2sWHt7V81b//zBHWm gxtHNdhwfHmMvujkCdvDdw8H7GDD9I5Nqm1qnmD7QMUy24YNryRo9C3EnIb4 tqmNLFFseClqVXgFkwewbQ34ljvNhmuVlem3RNyAd3mesbTIhr/e3A/bO+IK gjWeqQZM7DgkZLzB5IUrUPbaW/XwsqP9/il7SSdX2OZoUMu+jh2nuh6G/io7 Cedv8aQdPciO/8VeYJY64wJDswnWPC/YkdOZZfQLrxOk628596mWHRmO6ZG3 vjrCsYjGqNy37GhxoUQzvNIRuuXZ3uzvZEcmt3HmnWccoWX/Wd070+yYfNgz qqXrBFQ+M6FsUOLAtleSVmzPHSDBnXnUNIEDQ57fZ0yl2oFl6R12aioH9qTm jBwKsANBNi369AMOTL1xbNfCMTuIvONhk5DPgf7/7SZdVDsIbuhp7H/Pgbmu BzlomcfBc31xgecqTnSvva2x4ncMjL+6+sec4cSIsVM/lSk2YOhPf7LThxNP PdkTYffrCGwX6e2eu8yJIe2CBj8rjoCOwV6tI+Gc6Jt3qXjVkSOglLFxmv6I E1sKNMvptw8Dj+OMS1EvJ/YUNqg9VjoE74b8LTuNuPBFYfS7rUHW8NpPI+iG KRdWbjl8QeGINbwUHn+2zYoLORW8+2y3WEPFzuNr7tlzYdfHS5wpQ1bw5MH2 tyf9udDRtePObmMriDjBgcv5XNh0wDmKiWYJpkPRyrKy3LiHZe3c/Mo+eKc8 1GYjz43flW7cmB7YB3vOaV6+rcSNm/6WbKK83Ae7WPqaxTW50SZPzY/n+j7Y TlG+IGTOjdGxNbFUkX2w1aaumjOQG70VwJRTwxyk2xatpr9y415ObpUEtb2Q LLV3Re0HNypVKXkUMu0FCYe7mZ5T3NidOjZLbTYB0SnD5Z9/uXHYUXBk7LQJ 8PPH3f0uxoMff+4f2FCwB1hNVMc+7ebBzKoM9b9GxjBaa3/l9VMeXBnieBb8 yAjkbna6RhbyoMPfg9+d/IzA0tbUyrKcB3Vzi13i9xlB5YK20ufXPHhtlTm9 57chxGwQaJsf5EGbMtaEH9aGoJtQpaAgyYsjnefel4gbQLirdNPVEF7c0Gou fK9pO9RoxpTuieDFHIbpovrT7TC3ivOBQBwvhgxueM0eth2Op037pNzjxYwr nGb2RttBve0traiCF89KHW77wdCHT3q+F4ameFE5hHlq4SWCqkCHzI5jq1H0 DLO1z5AeDEcMB95yXI1NWtJ+W5/pQQr3/LdvbqvRri6BtvuyHvCuEs8P91mN yq+h5YyEHozOHTLsuLka+Qq0u0r3b4OM3k8eJ1+uxqeCHAVPP+qAdObXqqj1 fPj5ifA3bwktaJOfk/+ykQ/NODnKmSc0Iewe+w11DT482rBxtOWVJiwlK1h2 befD/GuPI3Z4aUJnxMnvNBs+fDz4ed+xdg2IPfeTvziSDy2HRQWE07cCN8za 9U7zYanri8rTrlvAR1+Rs3iJDx1sTWfphltgeMeRnCjmNbjJtU5HirYFGLtq lravWYO84Xd5W7o3w0WLiNjHSmuwyOBhkInZZhhzXFt3wW4Nii68uSS+Uw3e hVspCjStwZuPLM4MFKiCTtS1xtH2f37Dz/fNLqpC5s3y8y9712D5gMtdRX1V CI6n1niPrsEtFjN9Ys0bQLZ5TmWchR+PDxW+ap9SgY4uRp2VLD9KbB4cpu5R BqOfh+dpVvwoNirxmHu7IqQKB30IOMiPujuOrSciijCjm53be4Qfp1SFImu/ K8DdG8vO8fb8qFPu/7wmWgGWFO50cnnyo0qcrfuloXXwxP5T6cQNfnTMs/Z3 SF4L/J3H/Cqr+fHW0TvHcBsdnFZCD0q95EfPHZ4898TpULEuT92nnh+3rf/K v2OWBie9mH6qNfIjcV202J1LA4bgvaMZPfx4ebGqZ986Gpzf+4WEz/FjA4cz /JCjQifjBPNhFQFM4TP09vGThQn9bkn/jQKooXB/10MjWeCoMVO/u1kA/Rq3 NqkKyYJGlY7zsJYA6jhI3tmbLQNx5fzvzxoIYG9f8a1n/dJgVliRGGYrgP7f fvFFHpSCVxnCm15EC+DkPpaDcSHi0Cd/Y/fnWAG8Guq/vHxEHGbvr9izJgjg DbMH40/UxEE+ffTW7hQBrP85+O37JzEITK1ebn8sgCx1xSPl2mJAEk7V/2II oNEPtqoTf0Wg6NpLW8qsAPKFTR/0LxGCTOMG8dAFARQSWkkyihWCZN7W1p/L Aii/lGdzwEMIrkT3G5azCGJHcWGEwVohMElcUrXmF0Tlh7NPzOIF4cujTSth yoJ4SlPZuiBYAPjq76TN2wnipplHrAuya4D5+v1Dto6CyOiocaIN8cGMcZZQ nYsgGt2c1Sx7zAddjc9DY04L4swnmbOqGnzwoKP19AZ/QQx6WWYlarkadIY5 0SFRECUcrvy37z4POLF5fW5sFET5oCnH4hucICn35uNyiyDWYT/F+BgnNGrJ NCm2C+Ij/59qSuqcoHGq7kVgjyB+uXSA+r6PA9g/iNzW+C6IqqXVNZGaHJBx t9gqlVkIv+cMuF2dY4Mh3YW37upCyJPiovTrISskWpkwkjWFUC2zeVoomBVM Tt8trdcRwvVNNlredqxQmL4rk6ovhD7+2nEz0qwQzJV0tX2vEM4VncKqeBaQ /6iNes5CeP3knyLtW8zgcPZSEW+yEEpXxZb0eK0Qjc19RetThDBBn3DywQrh nsJiw7tCaDZSnpnKuULyzrA/v/JQCJmz36Z23vlLfnveLJnJF0IH9lPP0t78 IfGnH5X3Ngjh20QPlj9bfpM3pz7UPPkjhNY88585dy2SOyoajDdMwvhyd1rE uNQi8fyRyBhmFUZ61WgabWKBiJ6yraVwC6PqPrYSt6QFYu828jJOVBhDqAGc F8fnye+TK/V+G4URLGcdeB7PkY3Oyo0mdsKo97yK9YfpDOk7KXf66QlhTDwZ L3JKcYaEnxLi53MRxqXQ2D51lhkycmZ5X5OHMEZesb6SWjxN7vs1tO/zE8Z7 mVZutbRpIhbj9sk6QRjF+ceo/RxTZKUi+8fx98L4xPyUdQ3zBMmpSouoaRbG /d8VSwtfjRMbRqwqrU0YdxiEWxy6MU5K6y95DnYL46YCXbl5wXFyrnXPjON3 Ycy+wlV7ev0v8u3b2LIrqwiajdUYZ7n+IE2CKjxe2iIYvytn9U+tEULc3Udu bxPBar22CgXeEZJTn1PPABEUchqfzev/TiL91IL5DUWwaR1/2JPQ78RkWONP toUIkpmJPM2eb+Rtqf74FzcRTD1VlqcTPUzqjh/4YJ4qgpe/lQx2qg4R9fLE Z973/uHfP3bMcw+RByLdUakPRDCJanHc6tsgCX5rY/IjSwQVdkuxNd0dJNvV 7etCn4sgoz45MFt0kFRzuD+vbBZBtv29pzJWfyHlOYG3VVhFsVtVPDJo7WfC bmIlmcAuiqOkXeMQ+2eyb0QhiZlbFNelBzW0NfaTb/T38R38osh1vC/ykmU/ EUoSi7kiK4qHIticdB37iFvQk2tt2qJ4JSZpqP12LymmBHCAniju1T58Le5E L2Gu3BfyGEVxOOQR48WGXpKwMBd02UgUaQHnPpnU9JBad/0ARStRtKy++8no ZzeROtjh5ecpissnm+JZDnYRp9nMmeFz/+rX5G1crdBFnsVcOrfPWxT97ExG vOY6idF7ypl1l0VR95vePdv4TnJuu9up5jBRTPvSZeXd/ZE0qDA5yD8Sxakc ld/i5zrIJWYl83efRLExYfz774EPZHgnT+e6AVF0tto6tbniAzG/9uPYf0Oi eOuOb21e/Acivyb3tMaYKGraqz77z+QDeSetHnV3QRQ52FKOuZa3Elkt0nhe SAwL/TbpDmW0EIaHhYnMbjHMfOS/qn5/E1HJ39LmbSKG5nez2hXFm0j8rLBN q5kYMnsa3F7qbSRufh/dQq3FULHn3q0x50YifMMmbNJBDLdX6NqNB74nThlO b+sui2FAMG1d/7sGwt17cZdHoRhKsG9ZcMx+TTS8H6+Oei6GSpOMa9EBr4md YGdrbpkYPrPq6Oe0fE1Kdm09Olkthrfv8sd+/lNPnIrGz5x/L4a8HTHfpazq SU3kidsXh8Vw5fLbtfoCr4iPvumvEHFxXLr6+nZSRS150OtX8EhKHKsHHZ6c T6olTd7ZPq9lxTEgu3FN5IVasi6Hk5V7rTg+KZ/TvahWSz5I1opFqIljYEEj fUMWg6jOaOrHGovjuoxw1oyHNeTrQ2pcmp84bnJ0W6sZU0V+BA8ssl4Rx85q fSO0qiJT9veOuQSJ48OcXuNK8SrCJEdVVrshjln266eF71USyQQKg5EgjvIy qVn8z18Q81C5ia/54hjtxjTgP19ODjj2WxkXi+PNx5p5J2vKie2OtPKcUnH8 XmXg+yKsnLityIZ6V4tj8RbZDcnUchLiLSvL1SiOjScNrwtblJEKZxkTlRFx HE7PCPCsKyG1Bp+eRf8Qx+fZrdzXbpWQt/QUsdlxceS7WnT8t2MJ+dgvPfhi ThxPObfdXeAoIVMHpC+arZLAKek//crmz4niLqnMs3ISyNun/OrzRBGJU5RY VWolgbJ5sYmPPAqIje26R4MHJfByq7hw4J4CIh+3xZjP5h+fSkm5rVhAClf2 RjvYS2CCvan5jcF80tYRKM13WgJPyR8K3WOTT4Su/lB3uCaBbRcykjgOPSMx A1WOq8slMNxrTfHZxRxyWOw9p1alBOY8nRs4XZNDaHu7s+1rJJD6/Vx+6/Uc kl8yM/m8XgKXEu03v5LKIa1R6y/bt0ng3aOehmY7nxIBEhv//KcEfubZHUge ZZPoZKd6O4okbo3Jj9fMzSTeFwLP+dEl8b+4kA3mQZnE1iJVLmGdJAqlR/AU HsgkKtwd3u9UJFG0doewDXMmeeNroKipLYlfD5Yk0Q4+IiyH5K/zWkhiW/Gq K1uEHhIvsS/Gz4MksdBCW7io4j6xmf4z1xIiiTLqGdt8ku6TnU0S939cl0Rl /fITFy/cJ4Kh+5ap0ZLozZhR0lG7T3LmqrPD70hiRwpby53H6eR7exqvfZEk Xkz+HJmYcY8cjjvayPtNEmOvihw4H5VGpAu4pdxGJbEp5tm8r0Ua6W957vzm pyT2362fmRNJIyfWCDKHzEhiq2mXnUVqKvG48WrLCrMU0ihJvnsKU0jglY1J k9JS+GznIZHomdtkZ1rvVzOKFCaZjG8/X3mbcFRe35xDl8LXeg581dduk/Dl wQZXJSlsdFVmCZe9TeIvJP4d1JRCx3almUHTZPL4FPOJDgsprJOxKuVkJJJT YTl56tZSWODJpyAdk0hUs478iTkkhXbfqiDCPpHkfyuKNzsuhW6N+2avrkok Ffaub167S6HWSTnOapME0nzwg2r5NSlUZm0Javh5iyzszFhMq5TCFHOOqK/u scSvPC3oZY0UmlwQ37doHEuYNievHnkphUXeVpZ7FWMJh1wUdXODFFYw0Zzz B2OI6KLP7pcfpVAypydz79EYsuWpSdL3CSlsyM2OPH/kJvEQmdFSo0ujlo76 XmuWKDIV9othtU4anx2Sh2tvI4kXy4jJxfXSGNBYyCwXG0n8xj8dr90ojewF CsY+ayNJ2Jv6a1bbpNHV8BSt3jSCZPrf7vS1kkaPGwo1UBBGBr9u92GESuMd uqzeWOU1sj2tMV0pTBovFB0tzou8Ru4ePPw+JlIafy812H2wvUZsG87QHG5J 4xnzyCEVpmukO+/uO9b70rjUvzld2CiUtF76SzGolMb2zOrEtqGrRG3rjT1P a6TxSBnHKFPZVRL9S+SCSJ005mQfOH056ioxtdvQ8LVBGh8KhBA33avkraGN V0iXNOK6Xdwr8cGEIVD2pn5GGt32lm/KtAki1AaDmY0L0qghsPZKnkYQuRLc Ipu4LI0+O50zWASCCJn/fs6FRQZ3ffqeFPgqkJT1isly8ctgqBCv4ZB6IMl/ 5HXWWFkGa91Vgutl/yPpempS7+1ksMzJqC7T6DJhmHIHLZ+QQVW9Z8Jm/JfJ l2ODo+tdZNCG49J/Nl3+hB54qyzEQwat9uwveHzKnzx4tXgIL8kg01DfrbEE P5JhxkgsiJPBkfoS9s1Ml0im3X7R5HoZ7GvVvtQt5ENen1W5/PqtDDb6PyfD 37zJ9yC24bn3MshvGBC6o8KbKD58XrS/TQbj3wV5Tjh6k8ejUlarB/7xWQNE Vr24QLLODcVeWZLBd083Wcb7epGnV70EnDfI4qYrIj+CFM+RH9uOBl7dJIuv 11qQI+zniMrMzun7W2Qxgp7Qc3roLMmyF27/rC2LLCEJ/ab3zpJMKEg8bCiL B3xXnNtlzpIHixNypsdkcX9Bp2kU9QxJdj+luvXmv/jDW0r673uQbnnLtP1x //L/cbb3cPcgEr26/GcTZLHY4HK/naYHSTTmmcpJkUXFI2pM59+5k1sKWUWK WbKo0th7Z8PyKRI98G2bdK0smh9PN9nm6kZCrRz2sM7K4pO4wub5ay4k3azX xnFBFiMvuDp1H3IhFbutPOqX//EPXDEQVnYhU3pGN8NY5LDBpjv9eqMzsVmn /FGIXw51vLI3HpVwJpvnp+zlleXQsGBgW9kLR9KXGHjRwE4Ou36d9Nmi40AW Y5bDHp2Qw1+9XulbhR2IcMT5FC4XOeQO++4Q+Mue7P7Pqfq9hxxOXh29uXjf nhSeNGa39pND5vDyXjNBe3JDRzDGKUEOL4c64brfx8nW3nuPQ9/L4e7DPE9v MdsSflWXhdzmf/X2CLxQeHuU/AhQNer8IIeOLn+8ZGOPkgf08iHFbjkMO8Z0 QWPdUSLs1ib3dlgOd00sFS+Y25AlP9Y97EwUPPpzTQB7yWHSxaNRs0uCgjlD dJ3drw6QV+pJ33sl//mLVdrrkw6QwqO/15yRpqBM8qfCKPcDJDqXYZskR8FV 7bnt8yIHyK79Zr9H1lJwk8BFDiFXa1KS7KIZtpmCnvM79udRrEji+ttP3++h 4NCxE9MRryzIzLRhRtBeCu6WNks/dNeCmFVO3dE2o6CS4evTXhctCPt+4/AM Cwo2a577kLzRgnj5Lbr6H6Lg4THO0hsp+4hF0wHFDc4UVD0g2+kRak5yklgp gy4U1JoP0Bx3NCdcJ3LFklwp2HEk42TRTnNSvcDOweZBwR2vdxXws5qTjbTi r73nKSi2Oi1ngM2M8HoJ3w8PpKBmaeTFSJm9xAWqk7cHU7D6/igl94sJqeU6 FbNwlYIpdVrthpkm5GJq7X8nrlPw4OFX+h3qJmSk/uzxbdEU5Pe1o+7bv4e8 kmyR+ZFCwWlB97z4B7tJQHVE4p5SChZnz/W0hBmS0U/VcYtl//Tou3p78qgh sV6ejn5UQcGEy5FmDpsMiYrG4eus1RQUXcV7a1uHAenMXnex/BUFU9eV3Hq1 1oBsTqg6otxGwQdv2ty12naQlMKpA13tFOx7tXTeO3sH4Wxdaxn6kYJlm5I9 OYN2kH7ecJPBbgrqGhsYULbsIOGBB/VuD1BwIM7khELCdjLsPinLM/5vnmty vrEe+mRfmLxU6QQF75r11k8a65OKzANizlMUvBYkyJOuoE9iB1+sqZ2loKLa mMfCABI8dIPp0m8Ksj/Y+8TvMJLknfQvo1xU7Gl6ulxXRMheKauMt/JUfHiw mKtARZckDqlWH1lHxT2Vu377LeuQoaecPT8UqBhfVVkQ+1aH+GEF/xplKvrc sjrz6KQOeeJI99uvRkXPSFUFl2xtwp03adGrR8VTRRH+pnpaxNq3wd0dqKj1 8VDlEL8WSd+ece0vUvF1HNfL+iFNot1+sJKyk4r7BoVkz0doEpelqvWOxlS8 +P4Dr9MXDVK/M5LplzUVL3cwteckbyWCfC5SAQepmFnIfkLg3FZi+1Ffg/8w Ff1VJ55X79lK5k7Oum0+SsXzs+45bH/Vyboom48XHKiY0CzcoeikToK7lHJW TlOxu3wNf9vOLUTfo/6IwHUq/udYplqpq0aWOkcMX96gYsGFg2xbpdRI4Q7e zd7hVJws5JZlX95E1kns4/wURcUfJdkiz8s3Ed6X3YWZ8VTsxeM1FvqbSKfE r9X4gIpW8utTHuaoEs864WqPKiou8Qa0X9qlTJQ2aWZTa6iYb6yizCqiTAaT D8W3Mahop92388uAErH2TD2l84qKquvNXz7yUyLbpBQl2N9TkXn/qWmz4vWE 84zu2ZRuKl5puioooqNI0qTt5d/NUvG3m57l2aC1RGeLsqr9PBWlNl75lXZ0 LWnbPaO5sEBFwe8/OCS11hJO75A98r+puF13Z8n0T3ni2ZJ11o+Fho+cRvn0 jsoTDJmuVllDw+stwnEKxnTyZTz4aIQiDat+x/40M6cSP3ZTZ7oSDQVvnRdc t5lKRGXEzpQq09Cfx/W6gjCVGBs/Dv6qSsPkmFj3J50Ukv/gfbbeVhpOcA3w VTpQSNAh0aWf+jT8o93gyrxKjsjXPoo3PULD6cdK8hyVUqRRZeFBrw0Ns9Te aV6JkCI+8bsKXG1pGOEkEm1yVIo0nBxpCrGj4fzHVL7+P5LkLL8yV5UzDWs6 I3aMbZckVUdzLm08/w9b9Ibf7RUnhxcKj/NH0LBfQTflsqkoWWXPdjo1koY0 q1aD44qiJKfByl8lmoY3NwpsucUiSpjT5pJ2xdKQU298+vtzEZJpoPXhShIN 3XRyqznWipDZmHKDyQwaxr9fcy+OU5hEb2AotVbSkN1qv//YjADJ1DrCFVhN Q/44Tf+sVgFStWPmmxqDhhwXKOP38wTIr0PrMm7W0fAkjWm9obsA2RNyQ27f OxqekJmfMRrhJ+z9FsLNXTTM1gzt+a9zDZEZHZsK6PmnH/+QlOntNUR9Nrhl 4ycaft1ojFG2a4gDz/PIqM80rCSbt3oO85FqTSkus2807L57punJ8mpyKXrw z/sZGvJdeFrHv42XxNz26/Wfo+GRrFRDZXZekvVQpHzDAg215ZOyy5p5SGeF kU/EMg0NRx5TtZx5iMZI9pQJCx1dn+tUPk3iJhP65781rKEjj6NEaZAwF3Ga XtXyRomOHy9OMgxN2Ilt1s5GGxU6cmkn3m+XZyfWdsEN4xvo6G2WE5D2h40Y NrG+ElGjI+dVRaWhXDayLpul3E6TjkxCVrvUxNjIV3umjMUddLQpi3zcPcFK TrQu+6w/SkdjjeCVk83MxOa67oUK23/5f4uYHsxjJpZ46ZzZcTqukhRL/C+a mezMWXL3cqDjM1tn2av7mIn8jUX7mpN07OPGGbMOJjKoP29y6AId8dP96yPt K3r2z6Yo16PouHntO3GjgN96pwL3/za+SUd3jQ35G41+63ntL/zIG0tH7nrl 62fW/Na7NusVGR1Px++OzBNM95b1crQXlxNS6FiczHfP9PWS3mLNSsfDbDqW f86LzlBY1GOJPZ7v8pSOG4ZHWGmzC3q8J2oilHLp+NK1unCesaAnyx60Myef jhOTBk05xxb0dhqz5xeV0pEyn/9tT8q8XnQrb8TLejo2fBJ+qL9+Ti/5vrtL yBs66n5cO73v96ze/fONO3Y10JHdvM2/vGlWr1g0eqmhkY6GVVwmyd6zer2H hVw+tNOxO66jIaRhRk9hUGLHl0E62ksvHJQKntbbVHhR9sFXOrJwDwRU2Uzr 6VztWXT8RsfGC85DFVun9UwUUvJGRulo1WjiVPt9Su+sG0V2cpKOe8777l2x mNLz2/bfYv40Hb8cMbVzV53Su7r6S9v5WTo2Marz1bmn9BJz74ctLNDxEN9l vibGpF76lVXOZUt0nJ96LZ6eNqmXvc9xu99vOo5aPzve6DepV0h7JUP+0lFW R3N4/+FJvcrpdYsrK3S8cufw481ak3r/AyWnybI= "]]}, Annotation[#, "Charting`Private`Tag$13634#3"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVmHk8lN8Xxy0hIsyIwixMRSlaVFrPtUQLCYmQopLsiaJ8SymFFCVbRYlS SVlaCI8tS4SQJUv2feZmn0H8nt8/c1/v13Pn3ns+53POc1+Pkr276RkBPj6+ LeTP/8enV+2FN54O2cP3pEXo/2NxHdPQgnkO4vIqXU3JcaEkL4DJ9AWnEw3S MuT4ND+UIcQMAgXZqJhmRhC47PZ2nWbEgN3RXXIm5Fg36xjxl/EaZrPpO61p r0GkpUuFzciCjbGfqmKXZcHz7/Hnhxnl0JFw1zB9qgxS3we1uKj/hkft9bvF vJvhLPyMGfHsBlr7/Vk+/S7gS5jKbgnphtRKV+cLVl0QvUix9XtiNxhn7Pj0 260Lysod6K8bukGFZpxyO6oLVI/MJZzZ0QPYRLns2EAXDDiqpLTz98Lvj+fX 1d/uBqcH/+XVhPXBgblJuR+5PeDWu6Y7M3UQDu8oWasn2A8dts2LC8oH4aVk 9m4R2X4wa7qj/qNnEHb/WFKdpdoPWhX9vr3yQ3C62m8r26gfBNOSpGRvD0HD 6MKnkKh+iPZT2nPpxDDIHF5x7YnKABRQV8Rsl2LDFx+JDR93DIJmaFneXjU2 bKxjBxofJPcR9ukx0WfDri6/skbrQbjLa9Bw8mPDnneiv9P8BuHon4iS2AE2 /GdZMBecOwhDb6QmZvM54EpVySjdOQRiSjdV/mj9haInelfoa4ehbFe4xtW9 f0G/71Ka67ZhCLSM20Yz/QsBda8n3+oNg0DYFwNr578g33v/5qTtMMzMj5xt fPoXikWdmr8+GIbhVvPkaoFRUFXwaF46PQyV0Spr8itHYdLNSSs2fQSCMzU3 nmgehYeS2sdzckdgX4329vneUdgcUxtXWTYCxSI2+3ctjMJYiafV5/YRyLkY du7LxjEQuxzelSnKhndHeK8/RI6BUkio3QEbNtyTqlj7/OQ4aNhm+X4aZ0PW NtrHQ27jcEFY8a3hPzb02LrD3JVxeHzv1kSlMAd2vqMesYgah/gOmfSQFRwY 2G/zn0TVOKTwssT493BAN4Bd7btzAu4vaS4vvsEBtzdgpbJ/AhYssii8YA7E /gzvqT86Ae7ulkJyDznwl7GVp+E5Ae1a/PWSLzgQl3NVuS95AvjK0d2JAg5w JyW9TWUn4fTFCErgLAdYNPuFBdYkTG+sTDQVwHBILzPo3cZJqI+7Er5YFEPS A8u4xUaT8O+bu8MGWQymGs9L8wImgdr294K7BoarR8dNXMIngftxjXHgFgyv /9vbuiJ+Eg5mbD0euBMDX+XgX6/sSag9MvtP2wDDO8dN8mqjk3CqxLP05XEM TfdvJjbNT0KxeViq8CkMiz43qAeKT0GWX/szY0cMVkJXdDtVpqBLWP/hE08M ixOKXKJsp0B+n/x+5UAMm8uXTeu5TMEvt3ja92AMtn/PXh/znYKtkeu7re5j +LhHPNLo0RRcF3Xati0ag33LEUKwcgrUvW7n/U7GIPa40/V88xRsinyZ8jkF Q7qVm+Kfvil4Kz1pdPUDBsHft32z+aeh72Lqs7LPGBKbsjef3zYNba8u6Zl8 w2AYbdDVrjcNQzpTQVfKMExY1IcZmk4DzOa736/AsLeRzVZxnYa3q8opXj8x 9P1iJrcnkOstDfLa0Irh3qN3Rw0/TEOEttHlV+0YtprvEMrOnQYb88sSizsx 3K43s3/UNA0qN57W3urFsCGiQ0qwbxrolb8XEvpJ/cxcCY/xaVhxTDLt9SAG 1bpARcOlXBCKG3l0gY2h5gG1IkuBC8OBrcVbMQYf02e+Kmu4YOhywq37LwYm Zb3qo61ciFExDPcdw1D+M6tBQI8Lxzuj1vPGMXiG69/yMOFC2yNdXftJDPIm dZvbbblgq324NnMKg1PNSFiWLxe83MJsZHkYKGG+oHKbCw8HvlmsmsGQbSzM iYjgQvGBk5W0WVJ/yYdPBBK4YBR+MnuB5CXVjIMe77lw/kupUsUchsx7Kby2 HC5czIkU8P+HwebQ9uSD37nwLKbKhj5P+mNpydGsRi5oGnpseElyyg9TIZVe LnjX+P0nt4DhSOifjIgxLrxWntT1JHnO0MVegI8HMvA74BPJieI8KQ8JHswo rd/dQ7JR5S2iTZ4Hz0o57rMkT4VQ3A6q8uDgOqbiHMlxB+MVs7bwAAwLtftI 1l+yrmK1Lg8KWA0dWSRzvn/xjThMrv/ehneR5MjgvaoCtjy4OnQ0hEbyngO1 De7OPNCr/Rb5jjxvn+iJW20+PHht/0ZBheT75cObDwbyYCxKSD6YjFcryKfr y0MenHJrCm8g9ejYJxS++jkPdLpYAeIk31n8ACJSeVCHB9hqpH4byugc/hwe WD1UrdUk9W66/faJezkPFMu7NVTIfPgbaB1sa+CBTaiCiCCX9IfIN96BHh7Y tdZYlJH5qykxSf4yygO39EXKl8j8+gS2H129wIOyJV/OSE6Q/tB3FooQn4GM nmHlcNIf57/dtHdXmYEnf1pETUg/0Xv0hac2z4DR5y8rU0m/VQiIvvFDM7B6 5nPy9DCGVSh0NOjYDJgZVo0bD2CotTV+JOUwA6rPc/Ns+zBc+096e5QnySPX Zo71YGjOfuSfGDIDH/D6ymUdGAKbLVaqRc9AFnv0TEMbWe/cFWVpiTMw6rLd J6AFQ+iWOEkidwYmfAWXvmjAoP3hZVwznoGTjy00uWT9caocdU7OzQCfx5Iy xXIMj9lr+/oWz0JTy4vu9SUYJte+Xz+hNAubF23OXpZP9q+kzzlLj8zCu9Nx 8nPpGI4W+558dHIWVucfYN16T/aD7p2LFF1noa1sV9HMWwzHmfkH1wTOgpRr Qs3bRAzSj8t+636Zhcc/DCxWPcKQlxV89XvxLKidnDSmhmNwbjJUNvk5C4Kf 9mP2XQzflv08Zzs0C/e2Rq05dxODb1gz10dxDtZaxhReIvtd560h2VT/OUhP 5M+YPkD2i8SUbM3QOciwddqWthfDziI3268xc5CkIBFugTA84htPKkufg1t+ UOdE9uP9V2Y1u3vm4Axbcv4tHUOah7jZ8v3/gLqKqfuEzYHKWKrvu6P/IGQ+ 0S66jwN9xfLxOqf/wc/wtD1X/3BAfsWaYZdr/+Ccaq2ByE8O3CzYG1Dw8R8Y D+jQJTM4cJRyLcNJeR4kDM4rznhywGNXYPOCxjxoLS5zinDiQLBD6ELE7nlY 676ndLk9B4jsxwcJy3kojj5U+ucwB1RPfemm3p+H5Hnrd2fXc2AmY5SaOzsP TE1VmzNdbJBp5243FV2A9DP+wy+a2KC+mO9kv+wCxO0Tm6usYsMpm6Up0psW IPnVpdz2bDZULlLTc3BcACu35SH8D9gQZ37aS/LXAqjudn9yYBcbnl9xHtpg wYd2a7Wfol8fgQ35otzbx/lQXUNo4z3vEchflCz05xQfKjn7zYV9bgQ6QnuY oR586O0+V3lv0xGgPztuMRjEh1KOCx97rzwCscXGxc9z+NCie2GyDcQwPJDQ jKMo8yPxN0MayuwhuBE/ZzIxwo/6QLYudBl5L9vw5bzaOD+KruYPlRUeBHrB hXB7Hj/q1H6+NmxqALK7hmpqhARQq9xGzaONAzC2qtn4HV0AiZpu9VGPHgD7 lI9GDocFkKd4udFyuQHQznLb35QhgFzWrmhbLtYPfHUdKOeyINKy0XCWLO2B 1V4OPkfWCqGzwxfP7PBqh57JqKNLcoWRukrFYHx7LRzodfrvwfnFKKWL9Zwh /AkO9YSp0eliiMsu0uW5E8RQkb1/2bslaOONuPpa4XpCXbqBpntCAl3fYD5U sq6D6Avtu/HojATi/fa7+FCng3gqNt3f7yyBkv62NplbdhDii5an3/WRQLUn BUe+BnQQQ1PH9BvCJdATJ5n2Jb87iKTWNrdzxRJI5Vf8jfc3OwnF5F7i/pql aHmYkuWbn12EGEzatY4vRbk78v2iDHoJH23VxZ9mliKc8tlf2KaX6NO1Tr3P L4k8JmTbz3j0EoX7CmZ0JCXRumut5yaje4nLpqEPX68luU9D5ehgLzF8ZtW3 i3aSyFLSWl/6dh9ReddcVbpaEm0zbpES+dRP7Lh/p2rolyQ66dX+63RZP5Ec /tWruFUSWY3sUkv73U/cjFQquDQkiYIb3MyWLfQT9JqpdVhACu15Zr1BzGCA aGgu/GZOl0KaLvy1sXUDhAHbalrZXAoZH6m3+9c+SMTJBNRds5RCL2207Mo5 g8TEzrfvW62lkDs9SyRgfpB4Fjx7NtJeCqVQtysRtCFiRuVJk6iHFJp8beh4 zHqISLFvy/obLIWWp4ZbSNQNEVJNJ/zy8qXQH0txbbXMYcJh4balQrEU8mcG WUcXDBM5qz9o+pRKofGK0w2jVcPEOW8+9sYqKRRPtSs+NzhMFFKeH09qkUIB rzpOudBGCC+jrj13p6RQ2cPU8szrI0RT4Wl+q3XS6HhwYOKKnWzir/Zv+f80 pBHn+OJlBnvZhEiBseazTdKI0P8eaG/MJrYSO872aUkjWdlJs1On2ETEV6kf nnulkUTblvaQYDZhnJkTHWIrjZQ3tc15/mITDps3pafaSSO5ZIEL/7Wziavp ryp+npZG8sq2N7372UTKhwfzcs7SSDeE4aDOYxNi7xxPJ16SRqekX70oVOAQ JUkyG3LDyP364ic9jnOI9pXB+zseSqOLw3ajpmc4xOSLBXvBKGk0HT27W9mV Q6xMGHq0/6k0OmdO/3zHj0PciMuf/fVaGm3bPPfSK5ZD7IlyKeUUSqPCK3+d i2s5xFHZrg7pEmkkYnrOwLeZQ7g+spjRLJdGgV7WaxQ6OMSThzrrr1RLoz0i MpxVbA4xc3/5Q5FWaZShk8Y9KoyJj3eKbZmT0ojeJrSbtQUTyQcqlt/mSqO7 aqauijsxESteW8uelUbzh3eILCBM+If90f8qQEGDsSud/A0xYRg9o35UioIi /Q/dvWCPCbDiH8yhUhC71eH157OY2KS4+AVLjoK2LkqW6XXBhNyzZXKjNAqK WT9cOnsRE12vNiyEqFGQo7a99vJgTPw6ty1rTJ2CFA+mur+8h4kytT0Xjm2i oHTqhxraQ0y8e3+wf/V2CrpsrUAre4wJn88O1QX6FKSvcPWaWAomnH1dg1QP UFDV+TPdne8xYbvTS/e+EQWpXLlvm5CBCV3i+mebIxSkwxy7256NiaWlT+Kn 7SioW/TPOd0yTPAHvThme4aCPhqWq5yqwMTEgTfUb44UZLA1oNO5ChPNVZ9v P3CnoDepf3Zr1WOiMixPm+dJQcyKve2zDZjIM/02e+IiBRW7GnslN2MisaHW ff1/5Hy5sv9y2jERFd28JsKfgsZue2FWJyaCrTq6ZwIoyOcwmHl1Y8K9nW1R FkxBB3LesKv7MWH/bEJa4x4FPS27o9wyiIkj9rMVj8IpaNfCwt7qYUzs6FuM TkVTkFuuprknxsT6ZMmZ8scUJJyqAUqjmGA6yWZuiKcgXuwemawxTFDW0dyi EiioXMu/bvsEJoQ4LNX5JAqa2Un1ezGJCe77tV2nX1OQ9DFZiakpTAyd3/ik IoWC7usl39rIxUTbZq2jmz6Q89P7e8x5mKiZ3CMVk0FB9Zbja07NYKLo897v C58o6PnQoNmxWUx88jW86ZBNQb2KQ3Zac6S/dprt+ZFLQaxEihnfP0w8/neM u7mAgv5o3lidRvI94mR6bDEFPQmwaDkwT/rt+lkX/jIKatdL8/hB8gVdt9WO FRS0Zn1qr9YCJhyEvDuqqiiIj7xwhZIszyhvnP1J+nNSl1pKcpUWrVr1FwXF 8g8UjJB8w/R8iXkT+fzjc715kre6fMu90UJBqZlZseT9mhi6teLj+3YKIuJ9 isj7NxEX75rS2knma7lKHnmfJkyzCl6I9lIQo1Ai+DLJwnXLHm8doCCF3d6r VUjOHjn34NQw+X+1lw8I8rxuwnlBYRwKEt0w+EOXZGUm5XruKAVdWtHXmEHG 27DdwWdogoL8x5PTJEkONst2l+OSekmE21iQeu1xXXpWb5aC7L/8aw4m9RwL tLc9P09BX3QOqb0h9U569sk8jp+KkuY6TT6S+bDMFjOqWERFg1uWG6eQ+RKv t9XjilAR2nN45f1pTHiJiGw2XUpFa2Z1bJaT+VZVsl57TZqKtIxzCvLGMdG6 471SigwVWaRlLjIh/aLnZiElrEBF+e3xqttJf3FvvxXZTKeiO/tNxO+zMZHy fGH+hBIVWfMv1NaQfpT59YqdpUJFzKjKpcsHMNGzk/vdVZOKFqhPHT7+wUS0 uWFh7DYqEnj29I5TG9k/3J9lle6gIpHpiOglLZjITNiXrKRNRdS9vbelyXq6 KRpz65cRFUnJ+35fR9ajFovtJ2BCRYKfn9zQJut1ZJe2l8YRKsJP0jbrfCPr w2PQPsiKit7dWBcoQmBiZeN2tPssFcW71VES0jDR9Dd0m5MTGa8454tsKibu inWpR7mS8XlM2F96Q9b77mDa6AUqevxDu2wuARPFib9nEv2pSLxnp/Jysv+c 8rzyUTyWiv7OZfFFuJP+2dT+cc1TKor6Zn2lywkTYmPok/4zKpqIfIZpDpj4 cF74s/9LKvL0PvvT2gYTcx7hXybSqShGfFvNuAEmIt1ffW2toKKROT3XKAVM nNMQy+FVkfGg8fFPyzCxC7vkyNaS+8s8SiqSxES326bcw01UtDZIJDJREBMb 3HLzinuoyCBhkv/WEIcod6krSPlHsp7YoaJMsv+v21pYzieDLA4tbPr8jkN4 jEQX9gnKoOwH0zeiX3IIWRfbIqaYDFIYfXGRFc0h7J0HiyNkZdBhSoWG9WUO MXduodRPQwaBxUG+ozs5hMZZtSpDOxlUlsbpi3nPJtrPMdzfnZZBKte+fPRJ YhN3XahSSx1l0FpZk5M6j9nE4PlZk2o38nljkmNkIJt44Vfxy8RPBkUzOlg6 NmxC7oFz29EoGTQa91bzvSCbWMh5O3Lyhwy6p9xtIKc7QqQS8aEFNTJorGkz 9+TWEcKm8KG6cr0Mypm1CopcM0JklV7x6P4tg2S3WXt/kxwhLtQenDgzIIOM jzkFbm4ZJvr7h2edBJehUQ6PfsxtmKimrFvivX0ZOvxqf+7SwCGyvlwHH+9a hsw6xnWHLw0RqaWppYWwDNGkjI59PjdE3PPbeFNKfxniQoQ53WiIMOzb+u+t 6TIkdWT9Y1XqEPE9Sxt3OS9DAf17w7Y+GSS+nbSoOxy3DNUEs6t9EwaIr6k3 Hq8TlEVCJSeg6HofIWxoLh8lLIskjjT9M3LrI0wGVWL4xWRRzt5PtmVWfUQ/ 60dkg5Qsom+U3XN3cx9BjZF74E8n5/f4zJj09BLOASl36rfLokV3tgZ06fQS CpYN3n4esmgDsfL19Ylu4gr/2sOVbbKIT5lrL7e+kxBrvbzPLVMOzU8Yrjp5 vIHofakUEe+3HB3cNdnrH1FMRKiuWJRlvgJV0UajBVtfQ1isQ6kdUx5JcKrd TXyrwSrieJV4vzyK21a1ocOhBbh6Sbz4PAWUn5etvuR8N/h9jQ8oLlBAb3Zw jv+72Q18m2IlBosVUNTkq+vd0d0gwrivtKlCAR2xs78Ykt8Nsjyf/cWNCuhp XEfhPske2PzOMGbgrwLyU3K3cHvTA27LJrQ2shSR7YfTf6Uae2EshFNovloR eYmKHnEa7AVvgUHDy2sU0fEAJY1Ps73gh9tOFmkooo+HQpirmH0QUl56x3yX Ilp1cX+hrWMfJP/3uMnXXBGlPH0dvm2qD7p7dXwKbyuiiH/fOjeLDIBOfFXC 2hBFJEiMmaitGIBnllY/HtxTRCP3hfWk1QbAtuK88qlHisjMlHMx+dAA/P7w rFLwhSJiO8i+EHg0ALVX5pl78xTRO6OKm9b0QSiUzi4vnVBEPejRFkPWEChV 7J3Q4Coi+x7xZXObhsD/5k969KwiciasxqN1hmDP9MAFRwEamvcc9ouxG4Ls Vjm6qBQNndrAfykzbgjSX3l7HlCjocItj3gGy4YhYfdGhR92NKSStvRS3Pgw FB4SC5g9TUObO4oe8haGoetE99AaRxrab/V1Tkd8BFg3HmUHutHQNqbFw2cr RyCxhHcMXaEhh9shY7eOjECScWF0RgQNsdZvvTD2YQRKTj7m64qioUOrS8LV c0ag77yXo9RjGtqz5u1Vy9IRWB2xWsv1OQ1J3vR64902Ai+bghtXp9JQCUX4 cf1iNiTbmcnGlpLx5G1wZNiwocxz3dWy7zQk1Cx3dYsDGwYChPqmftDQvpYj 81oebFB9+fmjWT0NKdXUrFx8kw2vhxTMJTpp6BxfrVXJGza8udDz0H+GhtKS hMZzJtjw7pa39Nn1dFRVUtV39jIHRnYdv3FrAx31PLAe5V7nwLoJvfEXm+no cZKNx6UgDryxl/nVsZ2O5Cu3f90VzYFkyIi20qcjIas6qYFMDiTy/jIOnaAj pi2NkTfEgZ4PTWEu9uR6HZ+vrxzlAMsxnz/kDB2pnSBkfaY5kNBwv7vUmY5u XnlY2ieIIT5D/ZW2Dx1x3ItqOhUwxLq6qG8Jp6Nt7/t6DuzD8HvlkXizCDrK t1Tyv2GEYUXrTinPKDrSSAla+soUQ/SBJWOpT+moPih19pMNhkcqbz6qvqGj 8PeNDaPuGOrbw1cbvKOjL9uWVoR5YZCJ9I0684GOulsWP1P0xfBg0X7fhE90 dDhtWffMdQxhnf27FIvoaJShGPrzAYaa6Op3O0roKFpOwKAxEoPk4c/0Y+V0 ZPNUp7o8FsO9vEC+yGo6Mrsbp+2dgOHu41XFkq10dOT2YdfeDxgqTSW2qP+h I8trMcdMMjEsEZtMMuyio8hLdfxvPmMI9im+HTRAnv95r59SHobb5qcOCk7S UbqLdJvqdwwJxq02Z7h0tCZkf8LWHxhy9pu7lc7SEW36w8v1NRjGdhuEhwgw 0DFsZNf4C4O4Vn4CW4iB7kW9kA5uwqCyaXumsSgDMb45Tq5qwWCzWq2RKsVA FoJWB1Z0YLjETBzwpjKQiQE33aOL1EOeNtMoy0AJV1m6aT0YSpdK0p7QGEhj 3Y5m9gCGrsV31OeZDNR+JL19cAjDnAA/OrmSgcp+1YhVj2DYND1mv1KNgTT3 yjcc+YvBaNTZK1CdgVT7fnpNjmJwHO65NbCRgXbp7d9+bRzDjd7jUQe2MNDr L/qssQkMT/80JKdokfwkbNOhKQxfmo2zl+5iIK/9bIeH0xhq68oqPICBdJez 8gu4GNg/tNtqdRjosD13dzMPw+KybI6mPgPV+W/uaJ7BwCrczBe1n4GEf8S+ LJrFsCcnRZpnyEDKzybCIucwWH5axbI+zEAnzETiTf9huPAhTjPXjEG+r2Jq pkm+90ZOn2HBQCsJj1WB8xiSE8MsrlsxEG3tkaf/SC6KEz3XfZyBFH+Latku YGiPvnF5rx0DWataTr4imfdgNuTVaQaSdhP69ZtkmVCvp6KODOS7qKlhimT1 2+xUZ2cGqtCLnPn/9+n91x3yf7gxkPYdYTRE8ukrf35qeDIQVRW/LCD5qrdl d7g3A135T1bjBskx7j8nxn0YKK1Tp0mN5MxzB4SP+jEQfrcjIY88X/WpIrkv 1xjIbWfx3R0kDx3ftUY+gIHOdidFxZPxLbL8uMMvkFx/IamQTerBMFU3bA9i oLf9wRKrSN5h+Oo4CiXnT8n77CX1O6LPdE8IY6CAm4oCxqS+7ijGf1EEA20Z Nn+rTeofvIPywCGKgT4HhF6gkflJ0gx5URZL5utVkFUXmc989UUf18YxEOW9 1MmwSQyTylONnERSr5qmb6/GMEjR3AcPJzOQwZOXq6RJv6yVG5hJf8tAVmnL X5zCGE4u+U27lM5AvZ22U0XDGC4LmWk0f2SgSVWfqp+DZP0vVKCdWQxkfE+m vKwfw/fx3FMLBANFmqzc6NmNYUvr89e3fzCQjhihkNFM7qfuyH1fw0Bs0wcX tBoxjFxTN2iqY6Al82oTr+sxJLK+9qj+ZqDxvi4fk2oyf871jO99DBQ8llaT XoThb06s29ggA03tXvI+Jp+s96V2ufJsBvIsDClzycVwM51t5TzOQH2dmz41 fsIw4yd4UJiPibrOueTkJ2MYSHLwjOVnohEX00zRJAwNVeUx6oJM9PxaPm/P cwzpzLCBo8JMZA1nLrrFYHAqVgx8Jc5E6+VWXuq8g6F5ydaCfSuY6PDzpTEr TmMo0YwZaJVnIvVNyv+pniD9cHxO8rwiEw1fu1bHsiL72/tC2xgGE1nlGnT8 Mcawz8x4bnAVE6m9t8t23UHWW6zjtpBNTPR48FhT1xIML4sqbBmaTPSiqX1d thCGiBH1wIwtTHTIT2nt1QUOeOyZrG/RYqIah4KNlWMcUO267rkOmEjbNZLn 38SB6DWP3/04yETjZ4bumjzjwMS4flKAERPZOV1WtSDfJ8Z5Y0+2GzNR/Xyp g34YB4TNDtxNMiXP153Q3XmNA95+PKf/jjGR/sidQAlbDphWW6iuP8tE1+88 S98ly4HUGEFmtyMTvRpsPfBHnAOip9/LxTgxkbHoeK+zIAfyucIiQm5MlH4/ Y5fuXzZoKH/qbfViIlWxzzLDZWwQ95Z5cfcGE1399Yi38iIbHCE/VucmE301 mitwcmZDkajLA+4tJgre3rUQe5INl+OKrp8OYiK6Dl7IPsCGwVLPk7vCmOjJ uN2SGRobSuR/0kaeMtGVr/uU/fJH4Fp+aPTBLCb6xaP0Vk0Ow1BbfgQvm4kC DPepZQwMw9HZ8bBXOUzUd7m4IKBlGNZttQoSzCf3K3TkH8ofhqa3qy9/LSHz aa/3pSJ4GDZFEdZq9UzUo1RWMCw/DH2uo/QlmIn+KznxdGDdEBgpmCd9X6mE pqeVhUB+AKJ71POtVyuhW2enxbJFB6Dn3eKWERUllCGTabSa1w9+KEdKUk0J GY0yP9Y29kPKGZaf2UYlpKl5eodfRD+IfRg1bd2thHL7XB4qLOmHUr17fJyj Smjl+rOrG9m9oO1Wai0dpIRmGmKzk0K6IV7RfmXlpBJyiKnhwZ0WWFn0KvKQ tTJq72Rkz26vhrD1hWtr85TRp4xcKnr1BhzGF/0sX8tCB58Va/rtLibs08aY QfdZaPfxeucYgwbC5YbZ3IFwFgqtqW4x8GsgvM0yG8UfshBfQz2n50MDcWfS +15YJAvVxPZZDq1oJFK382ajnrLQocTbX2nDjQSvYKHh5VsW4r//Pl8wuJkI qxUPLS5lke+XKssvX1qJ2BeujoHlLLTm2bG37KFW4oVXle6+Chby5cYki9Pa iE+yYTMVVSy0+pemkMj1NqLViupY94uFrjdmLh00aCdUulfodnWz0D7ftf7a P/8QGzIv0xN7WUhI982PBb4OYsetFt6Zfhbayki7brqigzBUefphcIiFWFzB B7X7OwhPZyZ9dJSFdO8c1N/5poPw23Wdlz7OQlbRc75bCjuIWxJd9V6TLNSV M5+r/LuDiH7/IoTLZaGWrl61BtFOIsF/0dnsGRaazdDZ8ESpk3hrckbHb46F hrU6eEe2dxKZyiW0PfMsFHZsxpvPpJPIG1/NW1hgoap/leFxjp3E/wAox+PR "]]}, Annotation[#, "Charting`Private`Tag$13634#4"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->{{16.153061224489797`, 1.4999999999999432`}, { 7.500000000000057, 6.5}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0., 9.999999795918367}, {-1., 1.}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, Ticks->{Automatic, Automatic}], {152.0043085893627, -94.18087850631193}, ImageScaled[{0.5, 0.5}], {285.2631806458714, 179.39214953583223}], InsetBox[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13k4VF8fAPAZJEV2SophbEVCKtq+J6Ks2ZUsJZElUSl7i70oSpIlIbJv kSW5Q/ZtZkjZ+iFbyE6Mbd55/7rP5zn3Oc95zne7V8z2ttENJhwOdw6Pw/3/ mehvy6po9+zM20f/SdDpdKy2k6BrTnCENIOAv/1tdIxeXxVAIHhBvr7Eq+V4 OpZIihDdRgiDM7fGGn6o0DGX0x63VkTfwhU++QlDjy2sc/1m9JxoJsjpT1/5 t7qBbe/7LT0tWg4yQWyN1gfWsG7SV4+/f8rBmPt+svQWDctKj/02VVgB/kV3 ZSQ6aZj+HX2bSfVKOF8pZF/qR8NidlTEjDtgUP9UvAB1rWK8CY1M8z9roE5X kZ4fsYIlNye5T4k2QXCzL0us+DK2FFtycCC8CQIz2vmN15YwTYeW4Q5aE3AV 2puodyxhf5lXTCs6m+GeHnKsebKEqZzWPxEW0grUY9+JymOLGCV/g0l6lgz3 o6nkws8L2MNmOW1Fm064U/L+wmPfOSyjsFQq+3UnPHhQK+xmMYd1xKoxS7Z2 gnXOxHS4yhwm4XCpco/qd3ATF3VKmpzFmpkD5XF8XTD76GTn+NAMJni6j5dc /wOGKZMxfEN/sbz8sD4X+V4YjrLm4RWdwCZ5J8O1r/XC+wsqjXcn/mDS97XP yET3wh65XXV7i/9g70+xJw/TekG1a8+l49p/sJdN4fYWdX2QpjVtmuI1jt0f fjF/3vIXdL2cuoobHcWS2FsCeDQG4W5t0/7xqd/YmdM+lo+sB2HhUmjO9arf WL+r7NHZB4MgsJIRtC/qN7an49lYa9YgXDFwFlA7/huLitXVCuUeArcH7kmm wUNYgGQ7J71vCFCCM97+8CDmANS3f+8Mw8gFTpsusz4Ml/Kvou/ZMAS3Dms4 sfdhsSz7+ps/DAO3DTvejtSLNTbZi2T+GAYh3X8QKNuLyZhspNw4MQL/Amvm nVl7sD83pXP+w4+Cs6NroWf7D8zppV8VJXIM9LuJfG8/dGBMyykDWOYYLDTu TF+168DizBtx+TVj0Do5tpEv2YE17+NTj1gaA2HRWFeJDCom+zGjQevSOLR+ f5ElVEjB/n7ppNSI/gG3Z9tjsbQ2zHX0wHBx3gRo5fET49LrsUHrHrbqpglQ mxLx7lKqx4y7Q+XbRiYg6vJRYi1Wh6m0jHuN7p0EjtGEidK+Woy5MI1bMGQS lu7Mlw8Kf8NifcXOPLCZglTKJnnGE8Oq+YTeqnJPA8H+PwudhSJMOaKxSkN2 Gu4FKopdUy7C0lk9Rww1p6GO5Pop80EhFk77cdjJdxrmyFUcbfgCzGwguj7u zzRULw/zO17IwiazuJfWSTMQbTD4VvbxO2ynWKD0gMocuHwW9jqTEgiNp6IO +2vMwYaoxqcM8TAIvvTu+H6jORj8Z354Nj4CmCLLzl9xZqzTJstiT72Cta2/ Dj8T5+B5/smrpbPxMNVvmkFmmofZGwnXvC+lQ2us9AFS6zw0b0QvL88UwdNi ZUWbnnlgEStRcbL7BBcoZ1W3RuehJtuMJNTzCWq3W2qdos+D0VDOIXlSMVTe j3QsU1yAj+ee39MI+gy5JrTMgpgF6Mu6abQ8VQ7PuVsOJl9dhPSdLFzNe0hQ fnx/ib7rIgQGzymx6pJgxPo2bPgsAu7HZ9kBfxKczOUzMX+zCCZ9j2Mdh0nw R8vSb1f7IkTNjp+f+VgN6gHTZK+TS/CK9PGclOg3cM0CC2mtJbDjnDZy1v0G cdSoke9mS1Dyiyxj6vUN5kSP0Q7fWQL4KyIj1PEN3lX6i49lLIGRarmV28Na WF3m8jASXAZ6qf73uqY6IO63pdOJyyBYWtkQOV8H+ueKw3IVl0Hh/fT4dqF6 SHt56R2b3jJ4dyc6b9jXg9Hh5IaqgGUo8rLJ3kmvh9ybSntl55ch6+yHG/sJ jWDbZ4Ixt/6DvkjCY+EDzbAzfuiWe88/WDAr3V2s2QxFFq77Bsb+wUxvaBab XTMw94Z4VeBXIO5infJ4YjN86K444n58BV4YsEwFcLbAWBch47+UFRDtTrwc PtwCz1/nmukWrIDkfWUq12YLHDM9sa3i6wrg32WxmAq2Qsh3Y9vX3StAKti5 S+pCK8h0Bu/T5VwFmfCI2qmMVnCi/I0s91qFn89lOXVt2oA30gukQ1bB6Xi4 DK9HG1RcZJ2Jjl4F91VDoaSnbcBOFtVxy1+Fc6lMGGdJG+S0GW2THl2F3tLC Ib3t7TDTXOYVbUCDti9cFVHJ7RDzVEOGyZoGsn5RPyc/tcMZ7Y4ft51pcEKF uZWrvh1eNE0d0QmmARblYFQ10Q4KjSIz+EoaFCkTvUvkyeBeF2h7W3oNInSH LLXyySAyosn678ga9B0wuOH7lQwtTDuyfNEauPV7fw9qIYMkipgPu7wGMa0T TfvGydBT8frRh2drcIevMkWBkwJnC9Lf9cyuwXWZMe4vQIGZ9ptqVzfWYPI9 657XGhSInz44Nsa2DmwNprstdSiwfDD/0JLYOuQGBdgUmlEgM620ktNkHUQK lL/6uFCAJ76xV71sHTK7csY+RFOgqvypf3PtOkyHipAvv6WAc7euuCF1HSwj W49sJlKgToDqaD3J8LahDq6PFPCK7Fn13LcBjs7MXA5lFJDKj0+gy2zAw9Tb j15WUqCzzQoFH92AHcyiCrkkChxi/x3ySn8D9qVoZxc0UmAoaFIw79EGVKtP ly78pMDzDzkVyhEb8C/uaU1cHwVOfnO1/vJ2A8b/urcpDVDgNW4xrbFoAz5O imkcGaOAls+68vDIBggUldh6LlKg0I3DeI/WJuiFlZRJsVOhNY7PK9dsE7hl +Ln4OKkwVrs3Sc1uE0ikNsUZbirsFTow5fJwEwrydp5zF6RCYLVGQHXJJnhL lLvnEqjwbko30+zbJsCJTRwfkQplAibkKcomhI/vkrspSYVpR1thwb+b8Oyn 3tehA1Qw4334yUl8C2qLTVP4lajgdiq4h354C5zlOcZoR6jw1D6CHn16C479 wr0mH6UCVhGvg13aAtZMqwRdVSr0jqS4m9hvwd1DKTJLJ6iwxJn1ZuLuFlBL foWEn6KCzPWyYb4XW6CUvCAVCVRQi8B2ZCZsQYJzRtw6ooJlaf3hM1lbUM/G qXVJjQpR7F0+N+u2QOZp8tfRc1TIOdqfvNnBWCc8LBXUpEK9zXDDy8Et4IcQ A9XzVFj7NM/3dZ2x35zmZ2MtKvD/t6pqtIMO4mqmeTraVJBnw10dF6TDlTKe hKM6VLigtD3YV4IOLkXSr3l0qXDdkjOHR4kOPi/U8gcY9g8W6EgHOuTk7cK9 16NCbMG+1ZN6dJC8rZxopE+Fol6iCNWCDhwKtgkrDLeyyJ6zv0mHIAM1vhcX GfGSV3Ja96BD6eFHu4UMqIC7rBoZGUCHOrmGqtcM7w1AnyWj6PAjvUZkmyEV juae7694Rweuzf16Dgwb/NRnMsihQ/TzQJtKhp3wZjKj5XSIqEh2ZjFixFvW St+7gQ77BgkhwPA7U7t7XF10cLTObbjFcNlD57gPv+kQG72g9oLhzsw7JNU5 OrQPxXN+YHim02usfZMOSmkmKIdhloeItWgbDo2fbpz+yDAP/7m3vhw4xM+e IveGYZHM83Ln+XDol3MErzfDsmd0MJ69OOSIHS0xYFilU9+on4BDfXaaB4UZ 1rhpNJoujUNXvjiF9DDOb7Rp6ukuj0Mc4vq/nzFs8/Iy+6mjjP1X4w2UGHaR tnrHegqH3ibQx1sZ9+NVeVWRqoZDmKtE1RWGgw3tauO1cCinreTPf4z7jR5z MLc3wKHgPTZ+Zgwn+zhPKpjjkHteS1QNIx4KpB2rIVY4NHT0iJw8wySWjG0D 13HIVSVo5AUjnoMRI4QINxyS50ieOMqIt1vHE/mR+ziUcJpk7M3ID7qg2KmT fji087WfYAkjf0TeW5lPhOEQKfbp4C5GfuWNrNuhSBzyPHZsm9wFKpw+EHfn TQwOcf86/hUx8tGy6EeERioOlUkvi+lrUCGu9mJtciUO8YxbX15j5PvBHTPU 1Roc6qFXM7ozFcr1wgcuNuEQjE8Kxp2hQvePxrXNLhz6xqKpJMioH8GJs4oW szjUkCdzKe0YFdIPDZ4pXMahWLfqV0cY9Xj0jr8u2wYO1dW/0Ctn1KvJeoXD ZzY8EuQLup+tQIWXu5Tf8YrjUZZNj4rcQSqIG3VkO8rgke+qJN5ThgqFMW7l JHk8cp7a/fWLFBUoornfXU/ikU9NqrYso39wKkmxt5jg0RNHW/McYUY/MNvj GRCCR+U2D5TVGP1qb/znoN4IPOrxM63k20GFzAGTV4rReCSfN8f+HysVGm9G 5Q28x6P0SK4jVkxUYPXZOXqyAo9knBuXWWkUeJK0Ybj0F48MJ2YWeUcpYKBQ 5i67iEdfnCeGAn5TQKT6bpQtDY8sWl7HzTD6acXvSQplGxNaJ468LeylwIJk z8VcESYkcv4BzyyZArY5JXr2BkxIydd92rCcMX/KXbW6PzGhkyu7E/ChFODU PujIVcGE5mzW5kmBFOjvHQ3VJDGhw8yHrX0eU8Bzw7KxuJUJKfC4JA15U6AA dM5HjTKh2wuo/d4tChDqpTW0dzOjJOZPklWGFMB1DqJKb2YU3h2rJrKbAoET Vcnej5mRx8rlDDovBXbgEplUQ5mRxk/XN/2Mech76HJtyWtmtK55QTWMlQKS IdTz+QXMyKfRUN1qigzaJ2v0U8aYUQCLkuONdDK8Sk21DDViQXRZ+cxmQTJI 3bP3NDm4DRlm1BZ0j7TByPIbM/avrCi+wyJu0q8FtEed/F66s6Gyc+1p3Y2N oD8SKSsishN1xNWMd0vVw+Q320eNuezIt0R69GHLN5Dn+bFf3WYX2sls7ph3 oxp2wvK1/kVO1C5bpy6XXQXnpy1WxE250Q28boZwfAV019jhLeR4kFwwJcqI rRRKQmutCcs8SNmkKGAXVzHYb/MYbG/nRQJPBO1jlQvh+h2fEo44PlQiedcq sSIXDjvItute40dHedNpboWZQOaVY/dQFUB3x5KEtQfT4Evek3g5ZkGkpx0o Yt6UAj74gwatvwRRMMeTicGmJNjZ733BtXg3+jBarWL4Nw5G08Wik3z3oN3+ Nxottr2BaBkhlnJTIUSsdVMk272CyDj7hmuEvWhSo6nD71EkWERbtXOM70Wf JR6JcRPDYfVcGi2pShglaBx4pZwSAsOjap41IftQxxttiSquQEg5rSjcdm0/ ChZV4Biuf8T4LvHgcTgkgoIEYoKirHwhxPS6DvOyCBpUZD/2YIcnMMZVZkib KEoOlndY574HsQfic9t0CMgD++j/Zc4NlhY10wL0CGjFR1Vda8QNLlYtJKhe JCCXbIv5gZ9uwGqsHZ5mRECP3L/OS2Nu4OFLc/K7TEAv6eI/xZ67gRHZXOaQ AwEV6V7rKj3kBhwe/KnhTwjoeWjixYAxV3hIiojVKSegJ/EsSQKHXGDyFyma VkFAc1Ve+7P2uIDZ+mLkx0oC2s3as0uPxQXkjlmEMZMISKNRZl9VnzN0Z0t5 f6knINk3lC6dZ86g9Aa7IvudgPacsFrkmHaCsVvzIuyzBGTQxv9hsMIR9IRN 05olxNCfEkzlp58DnHVtuMITJoZoBhJcvJTrsNY9oVn7VAxlNeA+3qq+DsXq HEoPwsXQsa/Q2Vl0HaSEDNl+vRBDhJqgJuz1deCo7S3OiBFDJf4xhgKW16Fb aGYX+iCGZpyvWRZM2oJbHT/JFRNDDWm/Xt3nsoWkfbYSrctiqNu7arDe4yqc OCIrb7sihjrPCDTaOF2F71pLx1dXxdCbhU+OOJurwPYgWEdiQwxZnk9tvHTh KrhRs+74Mokj/wfo9g3hq4CCF0lyXOLo25aZ9fcgG/g9G2gVISOObA7Pz9Dl rUHi28cY/SviiLfK5WVy9hWIPFRzsKNKHJGlbOZXjcwhQ+XKjickcRRno9Cd fdYcMPWlccUaceTHcs/IWcEcZi5LpUXViaPe0KRBLk5z0Al+KmrYKo70VVP8 Z5rMgHXAiJ/Sw3hfXC5uTd0MfCKHN9uWxFGiLV5Q4Kwp2C+yUJsOEpH8pqxZ mJUxWGeda7eUI6K67bVcuw2MwexaYMvsISI62xu2nKtmDJpk5noBRSIqv7ZL dkXaGKSymb5cO05ET+ppAf8WjGDUFpdGUyei3Zox+1OfGoFdx7rnASsiMs8V wYWRDMG2cIEQ9oKIAi8G465qGIDLE+MN7SgimjSRGStXMQAP4+KfHK+IiJYW 47lfzgBClz2eR8YQ0fBcfxCezwDyVGnrbxKJSFT6+qBnzUWgVdN/pGcT0d0X P5ant/QhsoMjoraBiMLGvvslBulBXOqtm8FNRNRdyDf23lUPUu+1q19oIaIN jcaZEnM9+CwYudbSTkRDxYq5/Af1oN+C72ZnFxHZEK1vp5J1QXpYSP33MBGN Lg6+WtuvCwrF3iIfRomoZkN4kIdNF04E9dFujBPRs4cX1lUXdEBXOrFgYpKI 3Af4nSrrdeCOM0Fkfp5xXv/OilA3HfA99ZhWtEhEHa0LXJJXdCBo1+/v95aJ SML1bAtVQwdi81Ofra4SUVU0O7IU1oGURywOFWtEdCjSbECVVQeyDW+o+W4Q UVDz7QLpeW0oFq/ff2aLiMhbZ9Il+7WhalGKxvgBRjx/sj8dadCG/wGOPeBJ "]]}, Annotation[#, "Charting`Private`Tag$14372#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlnc8FO4fwK0UGWfGOW4JIUVSqe7zZK/IjqRsWSGVjPJFJCOJSIWSsqKk YdRZ4Q6ZSdKwR8h2d5Sf3z/P83q/nuf57OfzPETn8xZuHGxsbHs2h//PD686 c6u6xlP+ztY+fZjDXdPQTTCxJZwDRi48aw7irtlo/BBFIFyBwVidpYOG3DUP axLxWwhxIF/2gzCxsKXG5+hF31X8PbCra0q5aLilpnvNM3UOXwBfP5dlMji4 arZ+G5KfwVeAKa9rnGgee01fzfuL0xMV8CDBSHHff+w1hU8z6n+/rAS7F1pP 40+z15gGmp6Z0q4Gdir34IQ4e81dnsq74x5UwOzWOGqcwFYj/KCZY/5LHSji R4PaOTaoj+jZAb/xNNgaEryncucadSnjteLPBBqYcbRjzcdYVD2PluEuJg1+ m8eR7Z6xqNOcq9aV3XRYMJxoqlBkUQ8eNdWMi22FuEvqxwo1mNSO0nUO+T/t 4JVV61XqvEq9Rlc2Uj3TDehctmUV9xI1/+VbuaK0btAdE7TZ3bNI7crQ4tzZ 2g0rz6SH1x4tUmU9TlZLHOoBORfsgWLKIpXOGa3CJvIZYhzT/AzDFqjiR78J tzf2woBq2hpr6zy1pDTum49KP3C3f8QMVU5Tp4SnEoyc+qGqUV9FyH+aKn/J iKKQ2g+vtuO2NuycpuYc2f5omNkPv0K73rxM+U1NoSW423/8BiEbu3PvBk5R Lw3fmtd3+A4jAbmZ3wwnqNnbW6KEdH/BlxNvDiPzESrlaKhDhOMvOGHq+/OC 2Ah1wE9p/5/Lv2D5MQMv2j9MleiKH2st/AUJznod6a7D1NsZJoY3MIMQNdtj f+/qEDVq5yeBjW+DEFd78t7yx19UD+i8Nx04DLtVBrcXHP5GZXu8UvktfhjU jprlPv3RT83gwg3QnwzD1Pj3cbPIfmozzV2moHcYTlJzjR+1fKUqWK0/dtMc gQuUGh2Sex91wlO++Af7KFyzUsqprPhMjWgxaWvDjoLOwJe/DPfPVAmVwNnq faOQOUaS7Rb9TDVYrN57320UYlAFyyawh1oQbvHaljYK8wcmCJHq3VSvlPAP HcljwPmpsv5uTweVY/nxT2rBGEi7DvwjxndQM22b2UrrxuDgiU/BmlodVDpO RDtxaQwOZY454F3bqUrP8psMT46DQcZovNveNup0VXdHHX4CludF/2quNVP9 RncNl5dMgmCPKteAaS31l+PXbbW0Sbg7vijt1FVDtey7odI2MgmXhj1zV2xq qAdbxq+MYqfggZqWW3rjByrnyzyMeOwUrEOkdS+mipoRRqRcPvMbRCuVU7u3 lFN5VzpcokJ+w4mCrJmDu19Rw89HxN1K+w2y2PvM6zZlVGfnnz3PWn6D1fap YHrJC6qywUPvvgPTsPd31XWD34XUWhHJe4cwM3BwcG+HucdDqnpi8wddpRmo Ye7SGAzOpD7lDh4x15uB/NrXTjq306kJzN49XmEz0Bx3xsCy9zbV5mdqY+bE DBBqL0+M1IRQpwoxS2s1s8BGXO6/0JYAvMRo+Z8H50D0cYHube5CaD5ye89V 3TlAEewLe3mKIOZk1gFpizk4GL9y0p+nGDiS3+mf8p6DDJ9I7A+OEmD9m/b4 8nAO+HKshuenX8DvAev8do55kCVWGG9JKodChvMLP8F5aPgv/zz8LQdPUf93 /Lh5ePHOacbT+zWMGN9sNt4/D4y7PnPJOm9goPLDRJPHPDxR8Nd0m3oLrRny u2pa5yFMPRSTs6UKbparq575Og8R420FWa5VYNBx7NC/0XlwFhpRyK+rgoat DoZHNuZBvBJVDIVWQ/Wl5HPvVBega57LUG74PTy3Yha8uLsA5271TClq14CP P3eZWe4CLO+KyXb1rgHFBJHK2dIFcD3yMH7vnRp4Wr+brkxbgNYnhjyRgzWQ peY8lb+2AJEx1WmEK7WQhGlRfHR2ERiR5bTF1DqoOCD92tRvEfJudc4GV9TB iON5WA9dhN/zo8Lx3+vg8HMRK9v0RWjQGCiwk62HCUOHcP5Pi8BHsTzxtrge tKNm2q8cXoJ0OUEvlYIG8CsEe3nDJcgIr9sx3tgAmZ23R3pslkBFYTuf5kgD zOE1mHsClyB6VRtbJv0Rsqqvksbyl8AryOg1e8JHYCwLXrQQX4a1O12v62wa gSztvLFBXga9K9F9oX6NYKpTHvdcdRmy5IMJ3643Ql7Kyaxtx5chObBzJelV I1jsedT0IWp5s59xPvjJ2wRXbRbNfW4vwy9maNN3fBMUhOsOSGYvgzLu1sdY 9SZga52cC6pcBpNaNcyQQxM891TDKs0vgy9B9lV9QRP03Yp+0vdvGYS8LfDq 1U3A9bZXJYZvBfITHRutPzWB/ZZQ7UH5FcCIDMiVzjfBtsf1PumOm+u7/n2n qzeD8zcrKmfrCswN+MUpPW8G3vuDvgFfV8Cp8PaJt5XNUGbvh/s5tgKEiApb tuZm4OyPvVLJvgq7fxE9Wgeb4Ulf5b6AA6uw8SrD3EGYBiYZ+kM/dFbh7Bb5 X4PSNFiy7Uk2sViFbS4Lu3ftooHul5kZed9VOHU3bOkfhQZjnwn5Px6vQolv j2OPBw2S0p7bmLxYheJtB9QuBtBAw1pzS+X7VXigUJ74LYQGsT2Wzml9q7Al vI7K2nzXFLpjcCYCDJAl3NJOLqFBR4pIS4UUA2pv7oz3ekODYIucK/K7GNB4 /QxB4AMNaJ0VvRw6DKgpixR/1UoDr47p5IorDLiXPOr63zgNhJOvgHwsA5Lk GCavZmhQacY9m5rKAJeTBwzKFmmwvR1v7F/KAA8xtlOSGzQoTypmfq9mgLaF gWMkFx0cTA/lG9MZsBZ9hlLJQ4fiNost8qObfCZVPkOEDlaJP1+lLjBgfjc7 iyJBh3UTH2cONiY8Lfx6+A2ODsdbr1O/Yzd5zTtnx046rMQL+xkrMOHhclAC xy46ZBln4yr2M+HZZGwIVZkOs/R3V1JPMOHkdq8/L/bR4e5NXQUOx83zjjdg TIMOFKOu3vPeTHBeNZX9c4gOYzxnrn8PZoKTpxtH6xE63KL93mccw4QgnQuU cKDDwbjgoXd3NlmGcJRTiw6/DLbclnvEhANxIi6OOnTY2ywzy17NBAcHn7dp BnToiy16cJ7GBM8pQmmgER0i9A8af+9lQpJV5Vk5EzoobP3INBphQvbuX3tf HqdDR6N5/rt5JlzaphktYkaH4JgfNnIbTJi4fJ56/AQdCHreW1L5WFAvoKB/ 1pwOzVsYr9ixLJiV/3XN2IIOAR+jnc/Ls0Dqee5HQUs6yIzoca/sY8GXr+Vb n2xyCwdPYRhigfm3+AVxq035xJbjnMdZ0FjFT/fc5J0ocT7OjgVO1/Fd9za5 y9EsDePOAhutp6aFm3wtXOhQeiALutdjojI3WflB94D0NRZgqE/LvTb5a2Va xJN4FlDuTO2U2uSYr7ayShksiI86IFW8qX8fQ7L55RMWKGUG9klv8i/xAe+D L1lgMRjxyH/T/sT9WYLU9yxQc9GvfLLpn6bV2Ve6dBas7ipyr9z0fzyQZNva y4J+uD31cjM+qbdHWBbDLOAp/REXb0qHYy+eZn39w4J3/wXf0N+M5+wnT62z 6yzA1mkrjhnT4f6M4tjYtjU4HbLzlcdmPgz4ZuJ8xdagvJzDo3UzX8uKpbuX iGtgGVoTJ6pPh8eGAZ0hKmvg26d9BunSwcxz30X2w2ug2hugdEKbDgV5b6sF rNbg+oDTW9xmfdg0XDmbdnYNLjNn/n3drB/O4cNcON816P/5ziRMkw6nCTXG u2LWgMCrxhOwnw5C95v7td+tgRXGMZGoSIcPFTev0hvW4HV6cz2/PB28+0xI 5p1rsAOb+PUXmQ4fxTrPOU5t6mdfiDoiTYcryV8Zwbh1kFhoZbYL0EGu9P6D DYV16JnKP8HkpUN322kUs38djtSGGGzfSofd24di75iugwujbW3yHw0Gr0+J l0Ssw4VdPXczNu9z0pPiSvXEdRjLZ5Pin6TB4Xo/x6p76/Bi4gO7zwgN0tgW 85rL1iE388OXyX4aGIauqQ+PrEOhuk/L70YavPTns5Qw/AvO4la6Gvdp0Jop cuW5zV8Y0PIr/5262c8asNlarn+B3uIdGJ9EA6zkrt8+1/6COU636eZ/NIiu 1Y2qff0XYr9+N7zlTgMb4WuvvEj/ILgD4zisTAPWq3mR92v/gCkzPalT3Ayi PxiHLHg2gOSoV1yW2wwq29jOjotvgKX7rtjN2IKLg0CxkNoGyGkoGeTGNUMr l5KOu+cGLNyO1cK5N0OWtWuQ4OcNeF9WFpCEa4ZHod5Te23ZEK/ntPrjiCbY W8PDiD3NhkbfaRhoXG6CGq78LT9d2NB07dLfWt8m+JU4Qkj0Z0M3wsvaauyb QCbntO1kHBtSIEV6ntl8nzIbzBoeVbOhEvsf3w+PNUIKv3qWMIkdNTzC3NfQ bYTI7HXzpWl2NJcZZOW/3ABs3b9QdQgnSsFulegwrQO5IPdgK8UtCG9c1h7L RYWR5XSb7e+5kfzJ7Vdk91WC0ahXeErANtR003bULek1mI4kK8nI8KKGvosl LtkvYareOaL5+XZUrGdXpvivGPC3+7ySyrejzNiRpKOjxWDlaGptVbUdodjs B86txfCBcUjxV/N2ZBJXpzCcWQwpu4V6Voe3o6LTPVLvDxbD4XSqvDyWD9H0 RVXaLhdBgheu/XoMHxIn+/LKchaCilCvtPYZftRUusunx+QZjCWORaa58aP7 Zq305EPP4CHv6vi4Nz8qlZqWOyX3DPi4JMoSgvlRlshSpSTbM5hasdPrvc2P yBGn4o6WP4W8ge9+5xr4kfNPvKsk/ing8kept3YJoGS30xWz/54ALyw7DSwK oJAohv2l0ccQfExh2xuWADKqmxIl9zyGMe1TJbfYBdFbO/sdP+oeQ51BLUtL UBD94xrouJrzGEIsEu8UKAqik+dTRL0cHsNvt50fLzkJovxc0Y6fvY+gNcFa QahdEI3wDLVt7c0B/Rn7VZI1Bpkko7d5Kw8hSzSq+9pJDCKe2Ifd8e0hLB0u Kh04hUHKE/TybOpDyLm55nHXGYMkLsWeWLnxEFjyD/p4/DfP/0g88xb3EIqd v1fM3cSgs3FJjSEGDwDTdybsQw0G7Uk1E7j7IhP66lzZ7ZWFkExATl05NR3m jvVjw/cIIXyrstxyYTpsrTVTz1ETQkYlFY56d9NBg6rpMXZQCGVOj0hL+aZD ahWmLVBXCN1xXL6aIJUOZuXVGfGOQmh44XpxdOhdaMwT3fs+WQj9PVrQFaqf Bq9vNDgSljf3R/oex/DfgXyjFolYhhBajXPmqGWlQCZfV9fMmhAyn5o6HDmR AhHJP/WqOISRb4/nNo2GlM3/DUvFBiOM/GQ3MpzCUmDo2d6NeCVhJO3aIP/+ z20QaHqQveokjLiLGJGKQ8ngvuXir0+fhFGR6lrXibFEwOJpX9Y6hZFIoT5F qiURPh2Ublf4LIyyFx+J/y1NBA2fj+8jvwmjNxyFtdwhicDdLXZfY0IY1Typ nN0jmAh5OW+ss9hFkDANb0Q/mgAjhxl0X3UR5BApdfNp0U1wCQx9zZcpgp7O 9D4+2hgLGmo/Xu96KIIMiyfiml/EAu8CeqOXI4J65l6Nu92PhRcB3G8jnoog bMebti/+sbDuf/vdUpkIIuspl97FxcLd88+qBlpEUAY3bWfQ5Rig+XTXFv8V QZlxPb0Gmtdhj4fSJxMnUYTn43t7ej4SfpzDn3/uKooU5vQUH/+IhAQfEYyA pyg61qJ0mtESCZMBa+btfqKIBvk1X59GQm5Yy2fzMFH0T9jxtd/pSNiR4v3d Jl0UbTTMne9u+w82qoumz7aJotgMNTypKgLahZW3XzwkhhhbpcE1Lhwovr6T 94+IocaK8Y1vvuFQ0lTSVAdiSH+A/YqPRTgkhalGY/TEUEOnr9YXqXAwGdP4 W2Qhhj4Ky610loYBveLYnyFvMdSRIMtuNBAKH8/adp/IEkNJLh/yXuuFgHpV xsvLj8TQ5/RvAziVEHgi1n8r64kYctuC1coUC4FouoPJdKEYskX1Zl9GroCW uvPH2LdiyPQWun4y+grUbPV9+6FDDGU5vmzwaAqGqpLI+8qc4mhKpW7xyOnL wG1ijU3nFkcCJUglQPcymE/K32PnFUfdx1O/VO++DOPktru9GHH0c1QQl/nv Eojc25ESISOOPmkUzZ97dAm8o4pv9BwSRw/6m6WMf18EqZO9F8P8xVGQvfat qFtB4L6cvzR2QRy5FY3vDQsJgpcpoRfML4ujDu7Gwji3INBvIwTIXRVHJJJn 39DhILig5e3TES+ORtoaFuMnL0CLMpuL7DNxVCCyOvvM4AKEsiueaP0ujlq3 nNl6TSwQxnS298kNiqNz+pz12pyBcOLG9Jn/RsSRRXyZJXY+AGQFS89r/BZH Q+2PXq23BkArTv1WDkMcOeh2FqReDwCZg5RPQSI7UGHxsBknyx/q/CxMpA13 oP4bBXyff5wH3oEQA7/yHUgBe2UvRtgHNC4X8N96uwPZcyvJXln1Bifhvq7S yh1IYzT7HmvAG94Z7D89X7MD/YswLdXL9wb3138Cgtp2oBsOZD525A21Sa73 Q8Z2oN11pby/L3ht9lPT2RgJCWTr/fYv94wnPBkIe/VMSgJpBzySt/3sCe2X i4KbZSSQ3GKq1vv3niBXso2Td6cEss7l/EtP8oRubP2ORFUJxDg2e3pK1RNU lg4cu2MkgV5988mWD/OA0afE1OwwCXSzYZ+JGMEdpqMHmZwREuiBQJr6AR53 WHB+dMYzSgI5k12U/BfcgA1PVFK9KYGslt9Py310A2w6oa4uXQJJabyzy/N2 gxOx+LnRMgmkxCn4tqvaFao9pE2UJyXQ36FTKTbnXaBe9/vL5GkJZBAmhNl7 ygXo5Ic7lv9IIFUV+3lpfRf48hM3/H5FAu3otUjRwLvAgi0uxIxLEvnw5x6w 63AGBQOp/EC8JDr2ue20pYYzpCpIclVYS6KNnLobaRgncHCUezZ8UhIVvkuT 4WJzAtnUfUYCDpIo1ea6e+Sfs1C+cTzZxVkSFXvgvjz/dBZ6eiNxAuclUVlo V82HxLMgcn1a3eWGJBJPSBmuFjgLKYNUN/4qSYSKuXPSDzhCcqZ7kxMBiwp1 VIj3P9jD5UuRF8LIWJQ6Y0TjzLMHR4ssfLrcJmce94+Otwdl3t7LrcpYtDcm 3LntpD3QrugqHDiERQaG3d6hS3bAYScbx2eBRX8LX5Wr77WDizuGjN5GYdH+ 9vdPY97ZgsPi35XOGCzKaNKP+fjIFnTaJXOn47BI89hEq2S8LQjHmq8Rk7EI P5CkxeFoCyUrNUUJD7BIq9DpdQeXLUx8zuZzfo1FH4PTJixsbMA+9fQnvnEs 8mvMTXPbZg24V7xS3lNYxI0f0AxasIKfnW89aDNY5CVw6ti9AStwFRRmj1nC oqfp74hyL63A72bjvg12KWT38OO6wSkriIzYc28eJ4V6amsjH72yhAIfdtde CylE7RDlFAqyAJ/4khfqNlIo1GW4r+GsBagUnvqbYieFoqttExKOW0DZ+Ou7 ZmelkMuz94dt5S2g2tmL1uwrhWgF5nFfvplDx8lulaobUijjubpeoIE5MHTy mNkfpFCdcEVo1J4TEFaVHdVQK4WOeHAHleBPAJtaJv9kgxTiShy9MSF4Arbi bxHVWqSQZZ7UW5FBMxBnBhs2fJFCE0zRjA1XM9j33OTexJwUkj2x9O1UoCn4 iS0dVCXjUJZtfenlxyawED9bZy2HQ2FtR6ZcY0zgIsekScguHJqyttD29TKB sD/fz9bvwSFUGjzzSc0E4mlNN6yP4NBNVr17d4Mx5Iff77tijUPF+b/EWmaM YHhUK7guFod6eZILGy0MQSv702PFeBwyM9t+pPOAIeSctG9LScIhxknFjVWc ITi2BJBc0nCIF0O4f2/cAPpf5LRy5uLQnH9E6a6rBtAV+o+g+wGH7neqqzm/ 0Ic6oUpa0xIO5acUHopQ0ANii+7SHgYOWf05Zd+P0YOI6E6ZjDUcWhdl2h1n 6gJldeKCJ4c0cj93LzWcrguVAztkeDDS6CRz5DiXny6UPbsYaKQkjV60HI1O q9CBx0dVpdqcpBHP1NMHOGdtqDPljVpzlUYOb2xwdabaMHRmeGqXpzTCfm7J CzmsDeTItMoYP2l0fWdNjKyYNjxpZNqhUGkU0zNubUfTgjyzuoxXqZvywic7 9+/XgnwnS/HMJmn0jFVkcxh7DJoDla8206URftlXWIbnGExEbRlbaZNGkd5W xUIMBApP37627JFGc82CFKVeBAVTUtb8g9IodG+TqtwdBIUXRu5EsKSRLae/ jAoGwfPrF4U8dssg0WvNDgeVKTB95HTk9b0yiCfFSTNFgALKSzqLuftk0CPb fcPb5o9CobPo51+HZNAlznBZkzdHIR9eZdjrySBFyUR9ea2j8IQ5hzc9I4PM pepkdpw5Apm+Pir7b8sgE8mKE+LPNaFf1irbMlUG6exV+96VogmSA4cxgeky aGEmpys/WBMyjLYvlDyUQbOLIY9ydDQhTb7wtUKhDFoyGPJ7//0QJA+OH8HV b67zxDZmiB6CWGsXY85lGTR01d+OknoAHpsNOLgxZFCfv3A7d+gBqDa09mta k0GHqBork04HYOGo/u14Djz6GUuc2thzABzklL6IYPDonefRsx5tGqC2uuAs q4RHnO6h2nz8GvAjIzJE1wmPbI8Ef/6dpQ7MlLX4Z654FNIU3dBzQx1EE4Me 8njiUaTb9ExPoDoY/ude0+aHR9davSKx+upQfs6I2yYMjwRi91m/m9sHNzWF U9zT8Whwp6G9ssE+2D/wqCC2DY9i7A+9d96qBhgVT0ZpBx79u36132JZFaav qej3deORbOeLIathVXhCrhpR6McjtjP/nU+iqoKodw+ePoZHt6MtHnwOVgVW GKcxNxsBOVm+Mc2b3Qtft2vUGkgS0NkG6ZknbXugUf3exACWgIYaXArfP98D 5afXBQNwBERLaFtdTtwDyaV1jvfwBMT2xLqywXQPGFiarU/uJKBd+geJXzpV 4F2m54F4NQI6zFZlU/Z9N2Tsuv+8zZiANH5KvIzcrgxLi3p5UccJqGNNIYcx rQRmHxYeHDIjIAE//Yu3PikBt6VRQp4FARm6njTFpyjBxTCmV7gdASUIesk2 YJXAot1WYbcHAWFlDPK2qCkC30XR3IRIAsreaCVGXlYAT6jJ1IomoB+iCeqf HRSgnscnhXGdgLy2PRbW1VKAkKz6/1zjCOjg/dDnIfwKMNkUePZIMgEFjUc3 HsqTh0Zsp/T0QwJCX37Tp77KwbWaxAzjik0eWBLStd0JU99rUpmVBHQeeTk4 o51gs7aY/KyagMw/l82m79oJyhr2cZw1BJRJvhhvvC4LfUVyIVWNBNR+op63 67EsqKVTTyn1EJDd6HMD/SUyjPnOy2z/Q0CT5WscyvkkMI+XlaqYI6BAVi1B NpUE1fm2OzwWCKiPXSJBNYIEd4bfC9YvE5DZhOJ0/EkSILubbKHrBCQjMq9x hJcEmTrkoSkeIqr+Ioe/FECE41LWeXRZItKO2232ypQAGSMqNafkiKhYd7+z DYUAI8+3fZuWJ6JYyXeveFQIEIaqMYJKRPRf2mRvDj8Bit3IYZaqRJR5Vemf zH088L6Ytxg4SkRitfUf6nJkoEkniW3WhogOiEWZ/KzDgbCAp9S1k0Rk2Sn0 dC0PB45fjmlg7Ino+j1oVo/Dwcq5ZW+100TE7TXzZ90MB3K3HL5cctnkto9J gz+kIPqrYsnGeSKKfLYVN8QuBcf8mk4JxRER79LV8aVTksDqm9RruElEpbm2 syZIEsq1+dQuJxBRoHJ1Y52sJMhJmm/7fouI5jg+X946KwF8Df3l+Xc37bda K57/TwL6JGf50RMiUhJvmttTugP8P4rW+FGJ6IgX1fiGjDgo7j1QRKwlIr8t 15ScucVhONPubk8dESXrKGvazIqBjX+Wj2YjETWPr51P+CAGR6QUJLnbiOiB 5U5BlbNisC3gcODDfiKiGx8vUM4XhWycs2zrMhGJ+G67ZGokApr7lFScV4no w/rxngcaItBjuHSAwSCiK8uHxTdIIrDtcoyx7DoRPbmjvf5vTRj8OwsDwzhI 6F2Ws+VUiTCgmMUaZUES6v80gc5ICMPQn+jTiQokNJHk8FKLiYEwblMPsiIJ qZvLHJsax4C49I6ACiUSEuXF+eX2YsDIqCB6VIWEtDr/2hiVY6DsSVvR0f0k dLCzyt3THwNRduKsmWMkxDtjRSr6Igiy9c/ump4ioYRMnrjJ7/zwSZnxZMCB hO7p5uktUvkh+K7BKy9HErralPMC+5gfWs5Ntsc4bcqfOEesc+eHQIwSD9WD hOaa5B74z/MB9XRJ6J4gElKydti5n48P7BnlZzGJJJR6/NhGng0vcDlvOZ+V REK9j+zq1Y7wQkmLdbhyMgnN3nKf/0rkBfbslXsGd0iIqwtDvjzDA/m6B7sj 7pEQQSKOY+o6DyynVOnO5236w44dzKzaBsm76xS7PpDQjRn9tMBDWyH/4Cme yBoSqik7HYQnbAWq9tK4ah0J2Xiop4xzb4VZO7m82x9JqFBjjovWww3GMTfx 5q0khBMU6G4L4AbunxaiHV9JyM+Ss4b2YguEJg//bVsioTtFB+37jnFByv2w gfAVEooY00yoVOKCwqdiVbsZJEQ7bNxQLsYFfdX6wYlrJLSPmPRrbpITNCaL Fkw4yChP33Uj+g4nzB0LGm8RJCOTuMRo7t8c4L7I1UlTJKMq/hcy1YXs4Fio 88lBeZP7mVFvM9jBxim65c9uMlJP2Cb4MYYd9No5G8VUyYhbNElb3IUd5Io4 qpwOkJGy9LrALRw7jDqz5TG1yQhLUo1uS2ED16614F2nyUiFGCaDk9igOMQd vlTtSEZbHcPTHRj/KFYo9ILZWTKqmdczed/3j6JTwvK96EJGb5pNJn7c+0eR vcl0rj1HRnsHe12ypf9Rho+tmthdIiMdQqQGU/EvxfnlAiHuFhkRlvFvVRzW KD6RlutGt8koRkQzkXlkjXLRsvwL3x0yuuDQkDsuvUa5sXwxKfkuGb3bI8u5 +xeLUnKIuZb+kIw+pkbHnHRnUZi1G71Pi8gII+0eKnyFSUnu4ktsaCKjEr1M FubtKiUz19czhkZGty5G9q3fX6XkBn3SNmghI435ulNb/1ulvBFPZrV8IiPh CVbHZeNVyoC9iGf3ZzJ68NLtT93gCkV+WFJ7aJiMtmVLfxwVWaHsLQ+ReTJK RvOWZ74Ws5Ypmte/Md3GyShk32xS8uAyxUT+4YvJKTK6+m3V4XnpMiXQmyAz P09GksVf/x48vkwJO/Ifs2yRjDru5KYNqi9TrvMP9QQtk1H75frWPNwyJaM0 N57B2Iz/Q56MiOklyuMILo9K1qY+4bLfd3uWKEXmblph62T0Yab8dHP1EqWc 1ChN+UdGlfrdbaJ5S5QPi3LMjY1New9/kgpLXKL8D2tzXIw= "]]}, Annotation[#, "Charting`Private`Tag$14372#2"]& ], {}, TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVl3c8V/8Xx+299/b5fOyRkGT1Pm9RWSWiiIQiIaMiZXwLWVFmpKKshCQp M5+PTYQQKpWyJZus8vP7597H83HuPed13ud93/ccorO3pQsNFRVV387l//dH Ic4MauduoxrXD5xxabyUxl6C2UnCBTihbZqy+zQvZbu5NoxAuAbjco8zLpJ4 KY8ocZL0hGigH/56+U0xD8Vzv9/FP5L3gbtS86FlJzeld9MteV7yGdAx9T0M lOei+LdIqM69LIDPTFsfbWc4KSJJfe2/DYoggCbleEsUJ8VZEdP+Ov8CKgOu rVQ0clACilgrFwdKIZr2/GSJETuF8ctPud+SlSB5Bun0hbBQBilv/WYmKyHG IfIXWYGFUpCX1vDrZRUwMBU6xH9kphy9dPTMtEENqCS79/bvZqbcY666N3Ge DG2LcfJvZxkpPA9baRYG6kHr7j9zsWR6yibHm2c+eg3Qn6NTeMKMnjJ6M/vY /OMGqKLZM2BFT095cz4kY+5CI1Sz7V1IvkZHObVHQ2d2swmqmQtvzrvTUp68 y/T9JdkGnmvuwTe9qSnLaa8Vv8e2wX6fZA9uFWrKofPtIz3rbXDFgG7Z5TcV ZYb2j3VV7zvo8fgbauVFRdHaf1QnOrIDij4b8Isu/iN3v9iikZvrgnVbsRF/ x00yDzA7sKt0g1BB4SHT5Q2yrmyyTuS5blhZy09xj94g31l+tnT9Qzckb/mf DypfJ2skfHRxLvwA29fq1+JIa+T/3imbqJ3phS/DsYv+aivk/JflsoUpvZCw x7j8/OAyuSftAK1MRy8cM4jj8b6xTJY+b1MjpN0H47SH7V73LpHf0YarUPF+ hJz91UvtEYtkgf1feLqa++Fb3IBSgdg8GUu7zhn97YewX91Ulk/nyBdYF9rr 9wwAX+68vJTgHLnmE8OtN48HgGNsuF1p6zfZ2V/9z6Prg2CgI7rX+MsvcvGL 6C+eKp/BfEjQ9erUBHmaZzrWxOkzCLSd3da+PkGW8zdB8smfYfMN95QF2wT5 sR7rk5H1zxDPGDV/WWOcnNgW63qq6Qu8bgmbJSaPkv1H7i4ctv8KXEbsOnvv /CCXHprPkrn7FVzdvPmq1H+Q554ds6Kt/wrVPwYHzwwOk918uMtr5b6BxFxh N7XcMPnU38SgvUvfQOTIfb+UrK/kTNb2MO6Dw6A82Es1UzxIRvsD7W84DEPQ D4/5E8KD5CEvpb1zV4fBtiOc49mtAbJQz+3xjoIdO9Hh9+zZfnJCmplxFNcP kGkqGfDT7COHyXRybH/5AUePFwqJ7O4mk06GTFxc+QG1N05lmXt0kSlRKpQh jp/Aw1XxLTOwk7z1645vlf5PkFU9O1Od20H2KzXv83v6E4RynpNnJdrI5+HD /ZlLIyBfFTDV8qieTJW1WvXl9giEW+gI0XyrI6fRiQ29yxmBtGM0Az2EOnJr m6vEs/4R6HZMaNK0J5PlrbayXHRGYVjfJJbqfSV50k2u6Bv1GJTsW49IJb0g 32g3e/9eZAxUGxyGUE0RWUjl0mzNnjFwLOAJS3UoIBst1ag+cBkDH67C72s1 ueRnwZavT7aNwfCV9MDb1ffJ7onBtd3x40BlhWQOkgKBZiXrO/nZOODGoRvK ircg/WQr1Yv6HTsT6wFCXiy8E+M1iFseh8fDc8+5clJA6Wl+i7HNBFBMPdcc u55AI3PnpJbvDmf2cFQGZ4O95xKzfMwE4HjeLXeZXIhVQ2YMNRMQf1NbUN4p H2aqe7vrJSfhsUH2FeHYYgiXWF94qTUJAWyae57RloDYTQneJxaTEMXBfhzV loDZoQvW/4VNgpZdJrO/Yik87/73SXdiEgaR/xGa4TLwGlMYKSuegvzYBwp1 zZUw7PCJqa5tCip+UP/8d7YKjg9GqbwfnYLHulqth/9VgVb7xLUxkWlgEnPa lFCsAdqXuVwCkdNAOFfB/O1MLfgrWmuSsqah+9Wr/T7jtTCZTWev8nYa5g0F T1m7k6Hz3tmnh5Z2OOcln8ReCqQFEdHVM79gS94muVqmDlhWu8+GXd9hrn6f 9w51EOx9I/puyi8YfS8bXnivDpydv/c9bf8FlOQv1l9o6kHZ6JHH4L4ZqNh4 33vpfT1k1JkljFrOgJCKRIr533rg1t16M39xBrZ6/NMFlBtgdZcdDXPODMTC 0NVLEQ1Qxyt8X5vrNwR9b8t5p9IIGnGttQeVfsOqFc0B5xONkMcQMGpx6Dd0 67vIUgc3Qux6/273oN9gmUF93KmlEU58T25On/wN4YqrkrQWTdBqYziTRzsL SGr0s7JvE+j2LHG/kpiF2I6Cdf/4JiA0WZ5ut5oFtyPCCwEdTTBdwLW8SZmF xRLfx7d1msFemiLMNDQLjl2UEU6rZuh65A18f2ZBS738ZYdnM5TFd8Yo75qD A6/pzm08aAY5lpASLaM5iDiSEOZT2gzpYbv6Dc/OwTER1RyF1mb4zz+WePr+ HKTrc57xXmiGxTndwxfK5kCa75YGNX0LnLvwy9Ovaw5sWANuDgu2gIyKzFAz zTxUnMRrCbotwEIMl/uuNQ821LW3mANboFUvYXfIwXkoCsmbdoxqgQibjH3i lvOgU74hrZLSAjTxFYftPOZh8d1dRbXnLUApbDLfuDoP4Q4yIe4VLRDS0nPy fvg8qEt0lxMaWmDj38z5gUfz8CaRY5ZloAUqRDa8/QvmgY7qz6UDwy3gr8kY wF8+D4YsGbN/J1tAw5LvRlnDzvPsKjKw0AKLF4lRx7vnIdb1w2fG9RYoiVaJ Xxzaed+3tNeWqhW8cnXTEqbm4Wj0Zq8mYyv8GrLO76JZACMr78003lYoWHMu 8eJcAFVD4YdE4VZw4/OpYBdbAJUNNmo9idadcyqYUiS/AIkVtx5PkVph1DSm 1XTvAlBKeueV5Foh63xq97T+AqjzHXajU2oFx7CcweijC2DGpxp8RaUVJDJf DsvbLUD4z2+5wWqtMFRVO9lyfid+SbYNUaMV0vvb512vLMBGcSerk2Yr2CwO rtHfXAAhrpK9SKsVBDjGqXLjFoCOPs2sSrsV+hSWmAzTd+KR+5v7dVoh8SAV 90jeArD41Iik6LbCMSd24dBXC0BjfL92dYc5gkWIRMpO/MC38n93uCNNToHS sQBbWte6nu1wTJmG2plPC9BfKqbwb8efUbe+9r+xBaC6WpSxuROPYeao/qPF BRjyeuWRvaOnkdHeWG97AZjGuxpXd/SGSl2w+MK6CDS/ir6t7uSDwd/2utAi GMWu/M5Rb4V/p8KchGUWwXnQSo5GtRVq/OMvVKgtAuWrH5lzVytcT3zkexIt wmQB7a9OhVbQKi64tmqyCCeOPvuGZVthta38ZsrJRYjq5+5y3Vn/srHGaI1z i/DPYnJef6c+l6h7Enp9FkG9ayCgd6d+quLf718KXoR8+9sPxPhb4bnV+rOS e4uAf06HfWZpBU8fhlLz7EXw/DNTakHfCoqxvFWzLxah9cQZ81vbLZDXsOud ctsirCV6HZFd2vk+vuv0tH9cBCFNxhcpMy1A2jz82f3nIhTJquQ0jbVAhrrz dP7mIlzZeIM8dvav/VHvxcNMSzD8c/jbz64WEHEP2hjnWwIxKQUmydYWuPfk HouMyhJYvc75NVneAne42hWfOC6B1wWt59+SW6Byn/jro15LELCS9q8jpgVG HbxhK3AJSL/5v4fcaAHd57xWJ1OXYDAk+JS6RwtMGtsHs3cugWNtBNOf/S1g EPa765ruMhz1LZEY/NQMXgVwSs54GSoKO2hudOycDx8SRvtOLMOirjbvVm0z zEtqru++tAyjY0+qrmQ3Q0ZNCGk8fxn4jh1jCndvhrUVTj9LgRWwumZh82mh CaTEnbe3pVbgc/9xNdWfTXDUsCz6udoKkJTXyG49TZCbaJPBdGQFBn0HOENL m8By95OW2rAV4LFuWnHfOQ+fu6mLKC2sQAUhr7t6uhGcv1iRaTtWoTj5RcyT rgZgefDjou+nVajQq2j/8LYBSk95iX0fX4WEVjbqtcIGoP0cea2K+g/UC3HP yEU1QM5g1R7ffX8g379dl4gbYPwjIf9b1h+YpFMJ/1hcD+7dM/GV19bA7qKw 41J0Hfg2hTt7y20AjRv6MH6nFiRGDzGs7tkAvC4XPnOxFtppmAuC8Aaw7D6a R3WkFmRw3EK07QZYkt0UrVlr4VNVyo2c2xvAs/Jf9+uot6BfkpfxaW4DSppD o2MiaoD7Qetng4pNCLz7QHH+bhW89GE7LmT8Fxy7r+vn/3gDHem8156f+Ati 4joXjjW8gfFGkcwD5/7Chdt1Yny5b0BEWOGX53879s8mNrNubyC87mBY3eu/ kPRo77W5hddwgue/V+6kfzBY8I24m/k1bLxa4H27+Q8oAxUV381eAd+3NW1L 5m24KC12m1X9FagwUTlOCGzDsipN2XHBV3DWnqOIW30b6AYFWbV/lkIHnZKh q9s2BB4Mazl5rRQyrM9d4fy4Dc4vXXmHi17Ck0CPadWTVFjQkGHrp3wJqFKY 1yJPU2HRYv4tYd4SoNDl038/S4UpBh7pHzZewHDcKCHOhwpvdJS6P8h5ARKP T5+ciqbC44YEiutGMaQ3mjc+qaHCyyU+nq3FzyGRXSODh0SNCe23Yxh1CoFk 2VN4QZ4aazoYXNbhK4SX93wqKSrUWGDlYM392QLolnze56VLjSN7nDaHsguA Q12Wtd2KGofFeP+9xFUAMSeEAsIiqfEK0+5ddQv5EJq5ZbE8Q40X7Pgbqfry 4Jhqha/SEjUmTfK7yZTlgUTd5QTndWqs9Ea1zSc5D6p+Tnd309Pg77rjEGid B4syn8yfS9Bgh+l8D7tPueBc9PqI6zEa7FFhJqk8mQP6lV7Gg69ocG72aLE8 MRs4TBQvcFbR4Nr9RIsx+mwY+jwWdYhCg6dSf8Q3TmdBwJZ9a1kHDX4TxX1u uiwLSsD0cMIYDa7SVyzvMskCQrPcQRNBWmzrFrE+EvQEqHqHcc11WuzqZlmd upgJ4VO1T67fpMXhE/PTxpRMYKZ6RKMdtcNT/40a3MkEnl22ja9TaLGqwOQE u1ImyER+OPyihBYrHDPjXjifASa69Uezxmnxz9jclqLZh5CUnW0fZUmHp1aO 2L/blQ5CVTffHrKlwyGCeV8GadPhYfcZCXpHOkxTNyAl8/k+5P0VHb55kQ6X J1b+9Iu8v9MnJJ8NjKLDx0L5xudG02CI9Za7Vy0dZhfjcaQrTAXZK64BVor0 +Lnt9115TimwS+f78UxVesyWHba4Wz8FNKhsdk9r0uO3vQNJE4QUOBBrPP6f AT2W7VqJ+T6cDA45ylaF9vQ4zf2D5IxzMtzrW9xNc5ceH4kXvXvIOwno9/43 8WKJHluUPzaNfJoAbJt/6jfW6fH5wr4I59gE4KnzyThIxYBp7nrOnPNNAMIR Z+svbAz4RY2H2zfdBNBzOdjAIMuA5xSU/8voiYcrKayZp20YcMei+ogcYzyM rqSeYH3LgE9pyJ9SEYiDLP09l782MOBzGbbsimOxcCau8+6Ldwx4csmi4XJZ LHyWpm87PsiA0+tn7s0dj4UPxy/pPlxiwPPRJhNB925D7Uszwi5FRsx54Nd/ dxRiIPUi9fTRVEZ8yS7wQF54JFhVPmQgZjBiafQwKck+EnjotaSWchixxDrL lzqNSLjz0Ms+tZQRD2rzdH4fi4Dw9i+d398zYv1X0e8FTCPAR+HNKx86Jnzq fQSzBPEWmIy5Byf6MmEtGZ5uofVQOBQsVWQYwIQzLNENlk+hcIB/6PNqCBOm GV6nUq0MBZ2DR7TsYpmwiWmTNv/1UFDM3b0k9ZQJV6fvNBn/bgKry7Lb6yEm XHlbzq+P8yZ0jAZbDR5mxp7c/7luFYZAa5BmWMxRZhzS4+1ZdjUEGvnmXupZ M+OH21RC9QYhUGPoyPnEmRlfC4k4PDQUDEU5B95dCGbGGdunHf7yBEPcOUa8 WcqMV3b+n6F3AuHoaLyShAQL1lMtvGBEDoAOpdE+e2kWrKGA6x6lBoDp5X0h DxRZcIT9pK+qTwAY0XzrFtrHgm8ZdwSwkQLgAEHJn/cYC66XPGmdEnUV9to3 UZhCWfBLFYh46OgPYn3r1ktjLFjZ+Maijs4VSBc9sq02w4LDDe7GpAhfAeGz j/N9FllwxoMeQan1yyCweGjz9z8WzFDb8PtjxWXg4kp+PCnIipl0fkcn6lwG WjOVX1+NWXHvTaM0ucOXYLrB+Ubrc1Z87/uZqo5QH5BMGHS/U8aK672dQypc fMDK4ai1VTUrfriW/PejkQ/UrmkrDreyYoV51bEcTh9I3MXd92eEFSeVFrzl AW/QTSXLyYmwYfoj/Wam8Rch1l2s61YEG16UEW8w9XOHun2JlaZxbLhgMvCj 6yF3WKVjyuFOZsPKn/aU9Qi6g2PmUsCjJ2yYbTTqQXr1BdDoe0d6XcOGLXd/ PTzEcAG+7r/mP7rIhg+kl6ZVF54HFe5+cYMz7FjxspxakpILjMeNh6a4sOPc O/7yJ5hc4BHLn4kJD3as0C1obDl2DtjohEpjA9hx+d1XJcuZ52B61fZQfwI7 po2hrR8UPAe5Q1+9LjSy4+5XT9R7uc+CWP4Y+a4CB15TOM1zQNkJ+qRXpX/u 5sDH7j0SjuR0gttPGGI0NDnwJ1Nj8c1FR9hIl7P6dIAD8wz8WPaqcoTBuAuT JHsOPH2U52ewqSMkXf7N9eYOB9ZmzNdY+OUALLDiNLTEgQPVFzJn+uwgQF+e 6c0GB77SoZmEsuxg3MCu+C41J3ZQZ9mc9raDeqO6jQOcnDjBee3NMTY7uG4Z l/RMkRP32xg2I+NT8MtFpsnfiRPTkRX9xHptoCPWWp67ixOf3U2g+kE6ATp3 ozqnP3Li67kh1k4b1pCfUH2lcYgT7/l4ylOxxxrC7xHrrk5zYvdn61+SQ61B ontVeY6GCzuKdZbUjFtB/6f6JmsJLhwyUfl4ovo4HP596g/Jmgv/i1fZ7XnP AjL4wnr/s+HCxzcaUl/4W8CybuGLITsuPGfSYq500gIex2yev+fMhd+xxcq/ E7KADbmHg8w+XFh5W68/PeMYFDl/rZyP4cI3aNwGXNzMgWvwTFAthQurZo+F XGM2A9ftSBvRRi5s5HPXpKjfFGpkSzQCWriwYP/j19o5pnDBj+q3WicX5uFa W3HCplDP8+R07pcdvdXnl/qDTODKkZ8odpUL468tN9rojWGw/hz1KWVu7HXX QuDt8UMwr/9ZJHg3N34XcDprYNchYKwz13iszo1d9W8lqTEdAk2yzvlxLW68 JqTDmvX2ICRXc72/dJAbi/1XJuKudBDMy2rSbjtwYy3eNvb9PIbQnMun+jae G7tFc17VZDkA36RjjIeTuLFM1hH+4F/6sJK97Uybyo0VJeLM/nTog3TWdIrx I26sQVevdyteH0IzKJsfn3Hj1+PfSf+E9QGlerbM1nPjqj+dW6KaGF5HNToQ Vrgxh8eTx2nE/ZBv0i4UucaN3RMfHMz5pQfpbD09vze5MT3LkDPPGz24Ef/9 UDUND74iVH+N10wPzNI2VE5w8WCrDeKB1CBd+PlUdfu2Eg/W5lS6JTCnDRwt DzP/OPHgonMafCH8+4A6OtvWwYUHu+xvqXk4rQnLJgW8TW48uGpI7TozRRM+ dZZHJnrzYA451afvPDQhp7/He1cwD15WmT7+rXkv6Iwz4bNpPNhHIcR7NEYD XOn9hjs7d/wvey2JH1YHEcm2gc0PPDhwdvCzuZw6dGqJd8l/5MHq7qNRFYzq oOnZ9Db0Cw9+wBf9QrlNDRh6+R9oTvLged9nLilH1SD38RvrDGpeTNAwcuc5 qwqjumvvLmrwYsNXIuptjrsgzdqsPn0fL46WfnExdNcuMPN+XNmiw4vt1Ci2 yRvKUJZllE/U58USdhyb5BRlCGe+f+vjEV7s/OiEm2y3EkgPaOP953mxgfkV 8RIrRTh7KfA1Wzov1vzY+rciTQ401b+9VnjEizWMwvbu95EDlkX85tBjXqxk FNdNbyQHJb4M5TfyePHevFv3nddkYcsnoWK5lBcLfCFbg70s3PN+Wj3UzouZ VEQuKqvKQJtnb13RX17s9cy1iY1BCh4qa9a3UfHhDHtBZDNGAp+ZtPpxWj4c ZNXk9KWRBAKeDg0EFj4c2MbBGxlOAmePqcZkAT682Mq55cZAgq0L2y1Bu/lw 82WxuX+8RNh9XqnTzIkPd1q+NQnIl4BvFyS9n5/jw5axRgxy3hIQ68nLxeHG h78pMqtiTQmY8t206PLiwwFzqx+Km8QhO6j9o0UQH/5EK+ruNiUGgokeX0+k 8uE8ihYl10AUtmsKZxzf82HmnKfLokgIismZcXXdfLjbItqviEsI7OuTVEh9 fLg+LEQjYUQQKlsCfUY+8+30Q/37rGME4XKP6bLLJB++QJX9s/yLAExM/Np0 p+XHE1pfdD3j+KGLR5nVT5sfy1to3SuT5wV08eLUAz1+HNvJcYHAyAvFLcUt 9cCPnaMVDjSP8cCdILVwrkP8OMRTSa82mwfMxjX/Flry448j+mbHSTzwrlJ/ 7qcHP85R2ORtU+CGJseTvccy+PFn6VA+AzIHaFSnvbz6hB+LDK7HHYjmgBz+ z3czcvix7vju24+Pc0D4O3uzmQJ+XH7G9ZrfFDsc0HBuiiznx6vfJqh8hdmB wnixvLabHx9tSXkgHsMK1cWhD5RpBbD7TGV4+zMmYDCzFkllEMD+n6o3a68z gcWU3H1qFgFM86iJh9WMCSak3t/r5xLAWnVOgwVzjMB7XzDxhoQAHlXta1rT YQSPsKKoPm0BLHbwjMnRH/QgatPvF+QjgK/929gedqMF15X85fHLAvibOMXy vQEtvEwMvGxxVQAfHeanppKkhcPvCb6yIQL40/lROc1+Grh8wMOz+7YAjtWQ yfp4mAbalanOSj8VwJeVroY776OGQGrFYx1fBbBhlV62UfQ/NG7IOij7QwBv exWg7+b/0LGomTM3RwXwm88vb/wQ+IekOV94a/4SwOanb87L5P1FHWIadx+v CeCwmvZD99u2kIQW6rzCK4g5jxxnvSG1ieq9LM3EjQWxBbPtt23xNaRcuqfv qpkgZpHjDkua/4PurfDZ95gL4okRIdfAhj/II2jAI/KEIDbl6uE/5P4H8cXY 3144K4h1Q5/ZV1SvItdc13dNIYL4pN73uPSLK4hl6LqRV5kg1ktbf57LvIQ0 rz5jv1suiNeGOQTkJheRE89gz4sqQdz97K/uSPMiqjDae3qBIog3BVtYWW4t ItfXc75X3gtihpmcBnq6RVR359yD6+OCuOSx2ydrtgUUoH90NkJICF/6asqk FTmLcoaCXj0VFcKJMS70ThazqOtqYUCrhBA2LTp5cVJ0FskWM9GyyAjht28D SVylv1GvSINgnJoQvqFMySr9OYNUlvfpJ5kIYY2PJFqK1S80lkdMzgwSwnf2 JIcOXZ1EM+E/1mlvCGHh8uAkNuNJtOj85IxbmBAumjlxOUVkElFJEpXUYoRw q4FPRnHtBBJJJdTXpwphh2CXtCmWCXQsUnJ+rFQIVyxzzs2WjqGTLt+tTd4I 4eAxkpFd9BhyMMisLq4Uwql/VasEHMeQx7ZE5FWKEJbvYu8M4BhDEVclJJg7 hfAD2Surn71GUc15cTPlKSE8KXnw5JP9I6jh4NeX8TNCmHDfgosiNILeST0S XJkTwmPjKX4yyz/RwHexkberQthdKUWhvvAnWjwpdt2cThgbRwpd05D4ieSN RPMvSQpjT9rwhgjOHyhZXpiu0loY87y98soHf0P2DrJPR2yE8aVdVxnUWL4h 6eQ9Jhz2wniG71O+Rd9XVLZ9JP6sszD+LfE07uWFr6ivP1SMw1sYH/zzrexL 2hDivTWjcTZKGEdft3KxYfqCEn+QXdirhbFqH1vhtNwgOiX4nkmrVhgzvtAW St0aQKQjnwud64TxQLH0uYQPA6i0YnmhvEUYKy8RTC4GDaCeuwohzn3CuMBV Rrn0Yz/iRkn3yn8LY5uq5T1zKR9RfLprixNBBO/f1/Fhl3EvuuofejlISgSH 2/+xkJPrRQ6WGZKpsiI4r8u49BR9L1Jm6b/aoSyC5aPLxy/W96C2awfl92mL YLuijbH90INobKWj2SxFME/ngYADBh+Qn+BPk/IwEfwna/xa5lgnsl/6u/oh QgTHv3bWmyjuRIZdwtkz0SI4/6/d8t2ATsQTabFJjBfBU9Sev6jZO1HxKqUw 9qHIzn6OCT+p8x5Nfsxkc34tghk8mQYO5rWjU8mnO9kmRLDl8L5MHnIrEnvF IuoxLYLDTNpuP77bir5/KD/f9lsEHzlbdSnGsRWd4+ShjlgWwd/ni/O9aFuR V0zznm1qUfzDK1Xp0JEWFHpj9/0FMVFMjtijlTffhAwzh8bMCaL4ypO5azeb mxBjbbR6sZQo/sCqQi562IRiN0fa3RVF8RSD14UF4yZ0zz/t38g+UfxW6PEH mfxG9MyT+ly/pShmrV1L6brUgDxvF5donBDF06aTsb5HGpBKgd3fRFtRbMlg OmQn34BKJ17fM3cUxV378u4zfq9HNc7uba0XRXELp61UsXk96rbpVamOEsW8 T4cEO/bXoTXD3PXMWlGsJRBw+kdSLQqqzgxrrBPFzH8ePj18uhZRqaezTzWK 4uJMK31uuVrEKHmXqN4uiiPvCHS3Vr9FAusBxo0Dong+eSQkZaoG7Xludn9y XhSL5AfYyJyoRl78y1pqUmL4t2g/Kdq7Ai3enq23lhXDLXtafHoNKpAfzZTZ dQUxnNDhI+gpVIGC5r46NuwWw/bPfJ0j6svR7baWKGs9Mbyh3JJ6TKQc5Qc/ GLxmLYb/HChobB14jUbGDgTUR4pht2+pR0sjXqEDmZ1ZirfFcE5SgelXx1fo sc2p94l3xLDGRSlWC91XyKHdl3Q2RQyveoju5VooRZ9LHnfQZovhrJyDzwfO lKKewH+Eg7Vi2IbP7tUn45dIbW+M6fM6MUwcfFOrJ/8Sxc/y+/M3ieGF3Xya 3xleoqNOu9rH2sXwh+dFa8ONJejdIXu/iE9imN/ZsOa9QQmq565qa1kWwzrH +C/8uV+MiO0Hl3evieHGh9/fWDkUoxvhHyTSNsXwVpafnYxUMUJ/Ji+70Yjj YaryVvHi56hqSFCCmUscn6X24j7ZVoRKn/pdMlESxxpsuSYmfIUoa7+a6Hsn cTxP9adX8c9TVH+UJWzznDiWmWSueNL+FP08MzKt4CaOmfy45C88foqkQlOq IrzEsaRwoNWEyVOU07xuiwPFcb+CEyEyOw/lmtenvUoWx2w8ZjbPnXNRvtNx gfQWcfy1u2oliD8btV5SDml9J45TFCPkvi1mockw+vHV9+I4P7lc9L/uLCSf V/76eJ847tA/FBsSm4WeTYtas/8Qx0mp41bnGbNQweXRpBsb4vjz766qEKYn 6PktP+7zuyTwMcsTYhcvZKAZvdOht1QlduYlCnvongykvGy4lL1HAku8JVat /n2ECpz5Pg5rS+AyG+P1zaRHKB9epZ06JIE/hL1mPNP4EOWsz0sePSOBT9jo CXftfYDSL3qq7E2QwOSJqJcVNmnos7RV5vFkCZz5mGiWvysNCQ/pcl1KlcAi iX85JmjSUJoJ62LxIwmcmy0XaF6cilLkCl7LF0jgcenhmUqmVBT/Y0JPrEEC y1eT1V3aU1Ck9VlT2hUJfIeHtDslbGfkNR+yd1mTwL9cqtwNHJJQjbG1V8um BNaxTwvT1E5Ci/sPJ9ymkcRjFUt0k3OJyF5WaYCXSxL/G39v5uSYiNT/LDpL K0niojf7ZVfMEtC3tNDrB50kcYvu4VnDjDtoPXHz9tNzkjh0X8MXHuc7iC/u yiNmN0k8pEa6cUL2DjK+6Up57yWJvYcinuiWxKGyCyYMJ4IkMa3EF3XXtlgU o8OT6Joqief/7p4L47qN9g49eRb5XhKrRsa/E5uJRFwqbmsvuiVx69DUSwVK JJr5T+XwYK8kflnjtjciORLlSFWPyn+WxM//vXBWQpGIz6NP8t34Tj4UyyTe lAi0EURrykBFwKq/Tmk0HbuFPrFq1hkJE/Cr/bQvtzZCUbPG/ckhEQIO+ipa XzIQispOb3H6ihGwDoH4L6MsFMW/qHe4L0nYmYfeGcl5hyKj4+ZbUzIETEjY f+Xj+E1Uke6277Y6Yafe2wkpP26gNIUHz9+bEnbm0dWUFMYQtLx0KDfsCAFf u+NjPfsuGJnXLj7UNidgqyMZ/k13ghHDcZPYXEsCduWrbJoWDEZ+QevuwbYE 3BjlOrO8OwhZdp2U33WegEvYrzKS/K+j4vu0hBE3AjZsdmQcx9cR87kXgvfd Cbg4PY5RiO06oqwxMNJ7EfC4m9V8XfY1tJv0ZmzoCgHH23FXcg0GIDY/vuzY UAIWeCTRW3b8KnIDSvqBcALWK/fc+ip9FTUweyau3SLgO5pxjedW/dH1jIab 56IJOFVzSigy3R9NtVxy1Ivf8b8VKUcz4YeaRT6Izzwi4NJczaiZu1fQf5S4 NNPKHVbV85sUvISmv1KS16t2/Dv2i1gs+aITm0vxT2sIOO9LRvxGpy9S1jwV TUsh4KQ3VTOckb5osFD2enUzAdNtiZ833PBB6qlkO6U+AvaIkWnL/+SNHpUt nvz0kYAD3KREktO8EVOPjFXkAAFf+RbMSm3jjb6zxZqNfCZgnkSjrjODXig2 1Gb/gx8E/Fpo7xfV7xfR+MUFCda5Hf1Z7nREek9kcVtatHKegKe31exkOzxQ Tf5JwfOLBDy8bG35PMkDJY285WxYIWD/vFdELO2BsG0MVeAWAVMpNBteM3VH 6YZSP6eZiZi68PBD7VI3dETUOvedNBE7u88dTxhyQWmjKhQ7WSImp520FHjt gkafM32ZkSPi5leOeYNxLigI13BxKhGxeIm1OT92QUUuUkHH1Yh4re5djtfT c4ilZMFyaD8RXzf5cfrJzbPoxLX2ixeBiFcMbd5snj6Lsg7kRv3DRLxH2edc ks5ZpP3RppZgSMQcdaF115edkdsGWcHFhIj7aff8p+DhjFoM71DNniDixd9k JsZzToiHw030PxsiLi87WK1p6IQcBvQ1uU4RsbKbZ0O2tBNavbDioX6aiB1S HvbtHXdEsnftB/zPEvE0U9SGtqcjCv+kWLztTcRpzwSehTOeQfpeLXbc0URM /y8iNK/ODm0MTh1qjCFivWOFL47G2aEyAzb1q7FEfNhigj/S1g7JClswfb1L xBcd8+Lyl04htsbPZfn3iPjs4ybqIpVTaFB4lh3nEHFh9O8Omjc2yKeJj+JF JuJ7I3v9ytetkaLqvkJiHREH8kVUmXZbo5F023t99UQcpjv7SvapNTrhk+Gp 00zE9z0YGkqsrZGeqLwww3si1rY6Ycn/xgox+epeevSZiI8dvrKXEH4cZYo5 S3esEPFMWT77fmsLpLNHScX5DxHzVt2K6tK0QH3Gy/vW1oj4sr9fdqaQBWK6 GmEqvUXEBXxxlWtDx5DPh4JLQTQkPDP+0PWO2zGEI5YoypwknNAUHHVXwBz9 nAs/HSdPwgfLOX/1T5qiIIaj56UUSTj+x/vzFhWmSEBc0LdSiYS7tZLSuaNM kYnJs/AxFRLW9NpDOitvikpz3hfu30vC6cttlSaeJijMVmDjtz4JR3mbsyhT GyPphqf3jtqRcL1Ejeq+M4dQp/JazpA9CY+nhgqrah1CAfeMXrk7kLCeXgy1 J/ch1H5hqivCaSc+w+muosaD6BKXEjP5PAkfecLlbKlyEJFPFwfuvkLCpXMv zu7iMESn1socueJIOG+uc4BEdQDROdN7Z9wh4RedVfmBP/RRcbt1sHI8CU8O TgQINugj6szV+0ZJJFxyYV6bNVIf5R/U6r1xn4RtM+5I/ubSRyuJ1QcXckmY Xs/utZwyRvG76hV7akm4P95dYJ5qP8rXsmMOpZCwVnu174c2PUQ2WJ5Qqydh 0bCscK4kPTRrK5ub0ETCv9xVPzyV1UOmETGSFh076yt6lF7XUhcxfLfk6/60 w//iPy1VaSPx6V+L/33Z0cehU1wSrY00VsI/7P5KwnMPA3TabbTRWdbyO3eH d/SovbkmvKaFKPtEmc0nSHhWe0+SiK4WCowf+ft+mYQZOzXUX/RoosQHQUPB qyTcVbb3xuGnmqggj7961xoJDwl13NofpIkGaw4HxG2S8AnbyvIDcppIc6pw 0YxGChdXpbx5eXMvmte/MtHOKYU3t60JJCMN5LpE96FNUQqnTzGZMrGoI4cC w057ZSnsune6SXdaDZ1wCm+f2yWFh1MSH2S8U0OHumib+dWk8Eiy1snF22pI tpCm2mmfFBa6/Ymzh0sNjTlT5a4bSOFTNt4Rl6RU0bmezQCF01L43a8+bu9B ZWQfretf4yCF+V/YVxblKCMrHHjZ3FEKv31wScDYVxkZFm9c9DsrheUWjBYe sSoj6Zh157oLUtghNlOhwlAJjej/MbP1l8LXw5dzilsVkPPLRUL0XSksOvP6 r6mAHPIMPb5lkiCFKczvR9YmZZHf8bIBtqSd/GaXKn5Xy6KoFb878fek8GV2 X9UXzrKoWHt9M/WRFNZ6LG+V8EoGrddt9+cVSmFxkTivHmdpRJPkWOr2XAqb PHt88J+2NGI7Vxen+EIK+283sF7ilkYSDGGGxaVSWI9ax0WtTgoZmjCUvq6U wiW2I2ac0lIovoctrrFFCg86KM0d/kNE6dkX3SLapLDtGd3yxR4iyr7SaWDU LoUZ5Oy8xoqJ6I1A/EZ7pxS+w/ruWdZ5Iho6xevW+3HHn4KLddAQAcmNCBv8 HJHCiVeI2zZPJZFq2XWJnLEdttHxLToviXRufVl3mdjJ992lurvykshM7lHJ 1LQUDrE9sEVfJIEueRAkFhaksAjR/ktJpTgK0ru5XrokhZ39fVFYiDi6xf6z 78qKFF63zftvzEAcpb3Ivr22JoXvtns9tO0WQ1k36M5XbeywLU2AR6oYKrRw ORC0JYWH/F6rsZ8RQ2WkZnH0TwpbEaLakJwYql2SXd/elsLfbK4D1bwo+h+4 E90y "]]}, Annotation[#, "Charting`Private`Tag$14372#4"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->{{7.989795918367347, 1.5}, {7.500000000000057, 6.5}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0., 9.999999795918367}, {-5., 0.5}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, Ticks->{Automatic, Automatic}], {451.93129311502685, -94.18087850631193}, ImageScaled[{0.5, 0.5}], {277.099915339749, 179.39214953583223}]}, {}}, ImageSize->Large, PlotRange->{{0, 599.8539690513284}, {-188.36175701262385`, 0}}, PlotRangePadding->{6, 5}]], "Output", CellChangeTimes->{ 3.676432373871625*^9, {3.676432405454009*^9, 3.6764324351475887`*^9}, 3.676432576349979*^9, {3.676432606973402*^9, 3.67643261283149*^9}, { 3.676486398281088*^9, 3.676486438083292*^9}, 3.676488201261633*^9, 3.676497140101054*^9, 3.676497433525754*^9, 3.676497602428727*^9, 3.676497729802744*^9, {3.676497810050425*^9, 3.676497813906673*^9}, 3.6765771751596947`*^9, {3.6765772316648083`*^9, 3.676577270490424*^9}, 3.6765773772354403`*^9, 3.6765774484953337`*^9, 3.676577532544743*^9, { 3.67657756480787*^9, 3.676577600493614*^9}, 3.676601154951412*^9, 3.676602878000321*^9, 3.676602924032707*^9, 3.676602972284492*^9, 3.676605711594183*^9, 3.676606252200625*^9, 3.676816044447283*^9, 3.6768195990633087`*^9, 3.676827867936029*^9, 3.6768348473497343`*^9, 3.6768381701856823`*^9, 3.6768418782480097`*^9, 3.676841927302929*^9, 3.676842007184445*^9, {3.6768421078388023`*^9, 3.676842128590975*^9}, { 3.676842168488954*^9, 3.676842213374511*^9}, 3.676842266021447*^9, { 3.676842335785746*^9, 3.676842360833517*^9}, 3.67686021897477*^9, 3.676860730990231*^9, 3.676861161190494*^9, 3.676941671995908*^9, 3.676941786177718*^9, 3.676943083068301*^9, 3.676943575954605*^9, 3.676943955512025*^9, 3.676944053783701*^9, 3.676944090619391*^9, 3.677088287863345*^9, 3.6771821719782343`*^9, 3.677182582952682*^9, 3.67718744055473*^9, 3.677201632892767*^9, 3.677203844059903*^9, 3.677207282883128*^9, 3.6774634528604116`*^9, 3.6777687918046637`*^9, 3.6777690337239037`*^9, 3.677769311883356*^9, 3.677769388232547*^9, { 3.677770451079006*^9, 3.677770477924716*^9}, 3.793322209444277*^9, { 3.793851491778661*^9, 3.793851501211172*^9}, 3.8232276424679832`*^9, { 3.87678883057659*^9, 3.876788917716872*^9}, 3.876789190714295*^9, 3.876789358705875*^9, 3.876789421163982*^9}, CellLabel->"Out[40]=",ExpressionUUID->"b0de7db9-4222-49ce-b898-449e432ff357"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"{", RowBox[{"SG3", ",", "negT3", ",", RowBox[{"Limit", "[", RowBox[{ RowBox[{"s", " ", "negT3"}], ",", RowBox[{"s", " ", "\[Rule]", " ", "\[Infinity]"}]}], "]"}], ",", RowBox[{"Limit", "[", " ", RowBox[{"negT3", ",", RowBox[{"s", " ", "\[Rule]", " ", "0"}]}], "]"}]}], "}"}], " ", " ", RowBox[{"(*", " ", RowBox[{ RowBox[{"=", " ", RowBox[{"u", RowBox[{"(", SuperscriptBox["0", "+"], ")"}]}]}], ",", " ", RowBox[{ "the", " ", "initial", " ", "value", " ", "of", " ", "the", " ", "output"}]}], " ", "*)"}]}]], "Input", CellChangeTimes->{ 3.6764976874463654`*^9, {3.6764978290039682`*^9, 3.6764978339685163`*^9}, { 3.6766014797666407`*^9, 3.676601495267418*^9}, {3.6768297116287317`*^9, 3.676829712385936*^9}}, CellLabel->"In[41]:=",ExpressionUUID->"934d3e82-6e2b-4222-b5d8-2d09f3a1348a"], Cell[BoxData[ RowBox[{"{", RowBox[{ FractionBox["1", RowBox[{"1", "+", "Kp", "+", RowBox[{"Kd", " ", "s"}], "+", SuperscriptBox["s", "2"]}]], ",", FractionBox[ RowBox[{ RowBox[{"-", "Kp"}], "-", RowBox[{"Kd", " ", "s"}]}], RowBox[{"1", "+", "Kp", "+", RowBox[{"Kd", " ", "s"}], "+", SuperscriptBox["s", "2"]}]], ",", RowBox[{"-", "Kd"}], ",", RowBox[{"-", FractionBox["Kp", RowBox[{"1", "+", "Kp"}]]}]}], "}"}]], "Output", CellChangeTimes->{ 3.676601496115355*^9, 3.676602878039474*^9, 3.67660292408062*^9, 3.67660297233599*^9, 3.6766057116388597`*^9, 3.67660625226964*^9, 3.676816044567515*^9, 3.676819599232201*^9, 3.67682786802349*^9, 3.6768297128690443`*^9, 3.67683484742375*^9, 3.676838170245132*^9, 3.676841878303522*^9, 3.676841927345592*^9, 3.676842007235425*^9, { 3.6768421078978167`*^9, 3.6768421286304893`*^9}, {3.6768421685603437`*^9, 3.676842213413128*^9}, 3.67684226606958*^9, {3.676842335829458*^9, 3.676842360881865*^9}, 3.67686021907213*^9, 3.6768607311100073`*^9, 3.676861161306089*^9, 3.676941672109432*^9, 3.676941786290638*^9, 3.6769430831789627`*^9, 3.6769435760817738`*^9, 3.676943955632679*^9, 3.676944053911097*^9, 3.6769440907516403`*^9, 3.677088287906999*^9, 3.6771821720315447`*^9, 3.677182583000545*^9, 3.677187440599498*^9, 3.677201632958376*^9, 3.677203844119422*^9, 3.67720728294945*^9, 3.677463453061728*^9, 3.677768791874076*^9, 3.677769033787162*^9, 3.6777693119316397`*^9, 3.677769388304174*^9, {3.677770451144635*^9, 3.677770477999645*^9}, 3.793322209554811*^9, {3.793851491809122*^9, 3.793851501241064*^9}, 3.82322764249583*^9, 3.87678919075264*^9, 3.8767893587434483`*^9, 3.876789421201655*^9}, CellLabel->"Out[41]=",ExpressionUUID->"2e38a2d2-4555-447f-8095-63637d9b1841"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"SG3", ",", "negT3"}], "}"}], "/.", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox[ RowBox[{"Kp", "+", "1"}]]}]}]}], "//", "FullSimplify"}], "//", "TraditionalForm"}]], "Input", CellChangeTimes->{{3.676829951177149*^9, 3.676829970996765*^9}, { 3.676830007798738*^9, 3.676830014472374*^9}}, CellLabel->"In[42]:=",ExpressionUUID->"9bbea276-e2f4-4a0c-a6b1-ad9de9cd3ccd"], Cell[BoxData[ FormBox[ RowBox[{"{", RowBox[{ FractionBox["1", RowBox[{ RowBox[{"2", " ", SqrtBox[ RowBox[{"Kp", "+", "1"}]], " ", "s"}], "+", "Kp", "+", SuperscriptBox["s", "2"], "+", "1"}]], ",", RowBox[{"-", FractionBox[ RowBox[{ RowBox[{"2", " ", SqrtBox[ RowBox[{"Kp", "+", "1"}]], " ", "s"}], "+", "Kp"}], RowBox[{ RowBox[{"2", " ", SqrtBox[ RowBox[{"Kp", "+", "1"}]], " ", "s"}], "+", "Kp", "+", SuperscriptBox["s", "2"], "+", "1"}]]}]}], "}"}], TraditionalForm]], "Output", CellChangeTimes->{{3.676829960141459*^9, 3.676829971489717*^9}, { 3.676830009491211*^9, 3.6768300158950443`*^9}, 3.676834847509598*^9, 3.676838170324628*^9, 3.676841878423154*^9, 3.6768419274440117`*^9, 3.676842007327519*^9, {3.676842108026497*^9, 3.676842128768153*^9}, { 3.676842168731888*^9, 3.676842213492959*^9}, 3.676842266123623*^9, { 3.676842335990177*^9, 3.676842360944291*^9}, 3.676860219158168*^9, 3.676860731169012*^9, 3.676861161360179*^9, 3.676941672197332*^9, 3.676941786352367*^9, 3.676943083267981*^9, 3.67694357621129*^9, 3.6769439557214727`*^9, 3.676944054000719*^9, 3.676944090815361*^9, 3.6770882880390043`*^9, 3.6771821721186867`*^9, 3.677182583090024*^9, 3.67718744068645*^9, 3.677201633053627*^9, 3.6772038442125053`*^9, 3.677207283040594*^9, 3.6774634531484423`*^9, 3.6777687919624023`*^9, 3.677769033874889*^9, 3.677769311990656*^9, 3.677769388366849*^9, { 3.6777704512001963`*^9, 3.677770478061067*^9}, 3.79332220960688*^9, { 3.79385149185893*^9, 3.793851501277225*^9}, 3.823227642543159*^9, 3.876789190797656*^9, 3.876789358789049*^9, 3.876789421246344*^9}, CellLabel-> "Out[42]//TraditionalForm=",ExpressionUUID->"24b281d4-ed1a-4318-a8ea-\ 0daddc86646c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{" ", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG3tf", "/.", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox[ RowBox[{"Kp", "+", "1"}]]}]}]}], ",", "d", ",", "t"}], "]"}], ",", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT3tf", "/.", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox[ RowBox[{"Kp", "+", "1"}]]}]}]}], ",", "d", ",", "t"}], "]"}]}], "}"}], "//", "Simplify"}], "//", "TraditionalForm", " "}]}]], "Input", CellChangeTimes->{{3.676829758925089*^9, 3.676829768180489*^9}, { 3.676829800700638*^9, 3.67682987378516*^9}, {3.676842063435792*^9, 3.676842065891087*^9}, {3.6771823598973*^9, 3.677182363001706*^9}}, CellLabel->"In[43]:=",ExpressionUUID->"870fe140-c778-420f-848f-fddc466fc64f"], Cell[BoxData[ FormBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{"t", " ", TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"], " ", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", SqrtBox[ RowBox[{"Kp", "+", "1"}]]}], " ", "t"}]]}]}, { RowBox[{ TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"], " ", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", SqrtBox[ RowBox[{"Kp", "+", "1"}]]}], " ", "t"}]], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"Kp", "+", "2"}], ")"}], " ", "t"}], "-", RowBox[{"2", " ", SqrtBox[ RowBox[{"Kp", "+", "1"}]]}]}], ")"}]}]} }, GridBoxAlignment->{"Columns" -> {{Center}}, "Rows" -> {{Baseline}}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}}], "\[NoBreak]", ")"}], TraditionalForm]], "Output", CellChangeTimes->{ 3.677182363434547*^9, 3.6771825832246*^9, 3.677187440816702*^9, 3.677201633185931*^9, 3.677203844347005*^9, 3.677207283182535*^9, 3.677463453279172*^9, 3.677768792099187*^9, 3.677769034006783*^9, 3.677769312126101*^9, 3.677769388503982*^9, {3.6777704513274508`*^9, 3.677770478185068*^9}, 3.7933222096627617`*^9, {3.793851491933799*^9, 3.793851501351603*^9}, 3.8232276426174603`*^9, 3.8767891908769627`*^9, 3.876789358867929*^9, 3.876789421330345*^9}, CellLabel-> "Out[43]//TraditionalForm=",ExpressionUUID->"aaf7a4e0-1178-4ae9-9961-\ a3cd32201a2b"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"eqs3", "=", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"y", "''"}], "[", "t", "]"}], "+", RowBox[{"y", "[", "t", "]"}]}], "\[Equal]", RowBox[{ RowBox[{ RowBox[{"-", "Kp"}], " ", RowBox[{"y", "[", "t", "]"}]}], "-", RowBox[{"Kd", " ", RowBox[{ RowBox[{"y", "'"}], "[", "t", "]"}]}], "+", "d"}]}], ",", RowBox[{ RowBox[{"y", "[", "0", "]"}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{ RowBox[{"y", "'"}], "[", "0", "]"}], "\[Equal]", "0"}]}], "}"}], "/.", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox[ RowBox[{"Kp", "+", "1"}]]}]}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"ysol1", ",", "usol1"}], "}"}], "=", RowBox[{ RowBox[{"DSolveValue", "[", RowBox[{"eqs3", ",", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"y", "[", "t", "]"}], ",", RowBox[{ RowBox[{ RowBox[{"-", "Kp"}], " ", RowBox[{"y", "[", "t", "]"}]}], "-", RowBox[{"Kd", " ", RowBox[{ RowBox[{"y", "'"}], "[", "t", "]"}]}]}]}], "}"}], "/.", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox[ RowBox[{"Kp", "+", "1"}]]}]}]}], ",", "t"}], "]"}], "//", "Simplify"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"ysol1", ",", "usol1"}], "}"}], "/.", RowBox[{"{", RowBox[{"Kp", "\[Rule]", "1"}], "}"}]}], "//", "TraditionalForm", " "}]}], "Input", CellChangeTimes->{{3.676830244541691*^9, 3.676830286212282*^9}, 3.6768303307119827`*^9, {3.676830675267845*^9, 3.676830683514049*^9}, 3.676830736714744*^9, {3.676842070915887*^9, 3.676842074298871*^9}, { 3.677182370362712*^9, 3.6771824074309397`*^9}, {3.6777688098767147`*^9, 3.677768825458035*^9}, {3.677768933174461*^9, 3.6777689645907707`*^9}, { 3.677769003427041*^9, 3.677769029052013*^9}, 3.6777690594248466`*^9, { 3.677770434354707*^9, 3.677770467277891*^9}}, CellLabel->"In[44]:=",ExpressionUUID->"877dc4e4-17ff-4c90-9dd3-fc5ae95f9a3f"], Cell[BoxData[ FormBox[ RowBox[{"{", RowBox[{ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", SqrtBox["2"]}], " ", "t"}]], " ", "t", " ", RowBox[{"(", RowBox[{ TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"], "-", TemplateBox[{ RowBox[{"0"}]}, "HeavisideThetaSeq"]}], ")"}]}], ",", RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", SqrtBox["2"]}], " ", "t"}]], " ", RowBox[{"(", RowBox[{ RowBox[{"2", " ", SqrtBox["2"]}], "-", RowBox[{"3", " ", "t"}]}], ")"}], " ", RowBox[{"(", RowBox[{ TemplateBox[{ RowBox[{"0"}]}, "HeavisideThetaSeq"], "-", TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"]}], ")"}]}]}], "}"}], TraditionalForm]], "Output",\ CellChangeTimes->{{3.677770469790357*^9, 3.677770478281028*^9}, 3.79332220971119*^9, {3.7938514919781847`*^9, 3.793851501400772*^9}, 3.8232276426610126`*^9, 3.876789190922831*^9, 3.876789358915341*^9, 3.876789421377906*^9}, CellLabel-> "Out[46]//TraditionalForm=",ExpressionUUID->"69276a62-b8a8-40b1-b8fd-\ 3ae3a6d06627"] }, Open ]], Cell["PD control does not reject a step disturbance", "Text", CellChangeTimes->{{3.676256123319852*^9, 3.6762561340117064`*^9}, { 3.676256527464588*^9, 3.676256537807025*^9}, {3.676390134403613*^9, 3.676390134811151*^9}, {3.676432290911524*^9, 3.676432291046063*^9}, { 3.676518622684082*^9, 3.67651863874605*^9}, {3.676834353011854*^9, 3.676834359707809*^9}}, FontSize->16, Background->GrayLevel[ 0.85],ExpressionUUID->"9d73bba5-da20-4880-bbec-792a380ec867"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{" ", RowBox[{ RowBox[{ RowBox[{"y3c", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG3tf", "/.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", "1"}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox["2"]}]}]}], "}"}]}], ",", "step", ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", " ", RowBox[{ RowBox[{"y3d", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG3tf", "/.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", "3"}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox["4"]}]}]}], "}"}]}], ",", "step", ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"y3e", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG3tf", "/.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", "9"}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox["10"]}]}]}], "}"}]}], ",", "step", ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"p3c", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"y3c", ",", "y3d", ",", "y3e"}], "}"}], ",", "trange"}], "]"}]}], "\[IndentingNewLine]"}]}]], "Input", CellChangeTimes->{{3.676834404148059*^9, 3.676834465700632*^9}, { 3.6768345060244923`*^9, 3.676834520470763*^9}, {3.6768398912942944`*^9, 3.676839970661489*^9}, {3.677203820149604*^9, 3.677203823572308*^9}, { 3.876788942353551*^9, 3.876788954388164*^9}}, CellLabel->"In[47]:=",ExpressionUUID->"9461ab1b-7c58-471c-b45f-5cb8f4a15df8"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV1Xc8ll8UAHCj/Oy9XvMdkpAkGa17JJKkskpJkYxs7QjZGZGENBBShAYt yiZ7Z3tkk7LLzO++f72f7+d5nveec88591KsXY0uMDEwMCwxMjDQf594W7Ns twnbx8DQbhHgoL63rIVscILsgAoKXAZvvmvZt17x1Z9MvoEkWjcvcCTO7eOO fv+avcMPFSSE25swsqAnRRHSG8l3EL+ZEFOwrwBSnLK5u24XiYp6LvWyW0uh Xu6n/1bboxHJKMVtvmETknnOpra88gDFqmsKXkzYipz2XnH+K/0QdUhHLRC6 O9C71v7Uee3HaI97CEOmsQZadjTombFLRLc5/OUMZ/eiJMaeO391klGFKDIs 5t2PDtTd2/Sn/RmSFSgoZ3DTQWPxB4vnHVKRUaw6/37hQyjcZs1ibiUNmf3a zzHAdAS1rNjHTEu/REGIW/3cdyN0tVJKeepNBpo4kXHfStUUid1vrfml/Qo9 P3Qp0jT3BLKWB+afdjmIwW1ndZfoGcS0crNh3us1uk3r7mxaPYta+00l53Xe IK6j2bKlvlbo+iuOT7Ptb1HQjsILK3k2SD96hGU26R3qEh1zjbC3RRLXi01m HHLRFV5z0VF5e1SkfW16aiUP5X7SO2nZ54j+6x7Y/Ev6E+p/ckNe/p876ij6 cmVy7BNqrI9fiBS8hDKex5f+fPMZVdprch1SuYwMPQzPTmgXIL/Df2Xc/K+i WLbPsaN2hQj9UebIuemJcq/pe1wSLULXHsoera3yQo8n1ElzXkVoU8Td4bfS 3silkd9uVqcYBSr9Ka5x9UX8j78xzbSXIM/FLe/WzPzRCvf7l257SlE2a7x6 rWgAGrqdcmw6qRQZ/Wma/9obgN7beT+dcihDO6EoYMYtCJ3aobrr90o5Cr0o O5aVfwclVye6/5SuQqdyat//dI5C8/F58kR4FSquZttgMh2FdO1qBpuXqpDx Rq7GI5fvoUnmv6afW6oRebvzjUHfaKSx13DXneBaNJE3cEviVQxqzFll2jzV gMJZ98HGgw+RT7Wi/vazLYjWMvNJ6FMyevHmg2zmgxYktIX60YTnGWqO38+8 qbYFHZqzl5awfYZk7E4WiGq2orbszj17hVJQNXOAEoNAGwp0IjY+vJGKhPd2 8zdUfEda4+LPd5uno+ycO91OSl2IRDLw2uCQhSb4J8L1rbqQ3t5yNb+KLLT5 qv4+uZgudM5nxfawTDZK2sORPLjUhf49i3qc35+NoqvCbU+VdyMeuZXSG0qv 0dXByJmDFr0oVyVm19DrNyiRo8afT6cfDZhR37PX5CI71PRw0mMQxehsqdHf nY9chrcM5maPo5FvWheqBcsQOyVgM6ExjQj2fSemeqvRXd4a+eRzc+jD9HTB yxONyLrbpJC59g/S13/wW5TWgtzLA6xdNy8j67dllW982pDUkC7Lnx3L6MSC SWdtcBuqYWLL8IJlxLcY1TIQ2YY2QcTMHfNlNDBzLng9sQ11fn7gmxq2jLQy 3vCtFrYhrdfPn3ZOLSNFiYxupvU2xPfoW5f2xxV0yGpPyfEb39EbN05j0UNr yDDzvLTx2XZUmyBwI8tsDa3UK/FV2bajkTKxxP02a2hAOThA06UdiZG2/HTy WUN8rIlLbLfaUUCxjn9x3hr64fbcyiGhHZnx+7y7SP2HRiVWDsu0tqPldzMC X1b+oUZdhmuPtTtQsqfjhPIJBjCmXmzYItCJlIvYFoPPMID28aScn6KdqGjD i43EeQaoafU5+VKqE/VHDJEj3BjAW0+US1S+E0klnTkxfocBTCYKUCl0ooSy o2XJBQxgv4tcZOTciaK5VJ/yUxnB5kjW4IXSTuSXuHp8fpIRfhXuVu4634WO KX90V5hjhD7Nyc5g+y4kVXzpnvUSI6TU565vd+5CnwcmGhs3MgHw/q70vNqF Zjd1Hs2SYoI++8TA4ZAuZP0q74jtMSaYpn4KFcjqQlqfXA51vGOCNx9Epcdm uxBDSz8U3GQGrUd9ZsOXu1HA+Nfkm7eZ4XipnLDwjW7ExvCESTOEGRTvNelr 3+pG/FvNy/IeMENv916p+4HdaFNw08Gc18xw1+L6O9bYbqS/u8Tw2QgzLAUq VR55343up6RYhBhtAC5nkZpj891I9rLtdRP5jeC58M6g0LYHbd1FGCcqbwR2 V/7nIw49SJXh5LYJtY3w5BmjC4dzD9offmjER3sjnNNuOnbkUg+yTFU0ybTY CKcKfse89elBsa2z25giN8IWwV+vNsT3oI07fUZz5jbC8w2PnrdU9KChhTgz ji8sEJNceNpLshc909pxqbeUBXiaIxUOkHvR2Yj6yJxqFshOcL7GRutFXTIb q4w7WECg+0hYuFwvajL22P14jgUy7AK6L+/oRV/fGJC3yv8HgVuGehr0elGc M+OEYdx/QLrw7+gX916kP3zxVrQ7K9hczHlOFPQi3Vu0Vweus0I351dzjsJe tF+op+uPNyvEmv4W2Fnci3bpHNE4Hc4KytkiqX7lvUg+bdscLZ0VjPT1zrHU 9yKOC/P2eT2scDX5b9abvl5UO3TLpOMgG2iTDlU++9eLDIeiFKSk2EHjvPxN bc0+VKsw1Gohww5xjKoOxK4+dPiSuvcjeXbY8zt4/saePqTH1Ncoqs4Op3Qt hzJQH9pPVrgqcIwdFtdmdFd1+tBOi/IiVj92cP0pyWZp1Ifv5SXTuWF2eFXc xrnpYh+aKLX2/ZbFAdGszR3LD/qQ9L2Oi3dzOcBVoI/fOq4PmVgamprkc0Ci 1cm/lfF96Ouipnz/Nw54px5aFvmoD0Vv5Wv9O8gBa7e9onmS+9DuuMLNm8U4 IT3gCkNTZh8KvyjREBjECd+8Ozuti/qQEt93Se2zXFBdzO+7PtyHRiJG/B5c 4ALjNfPD/432oSfsf0dHHbngk029HPdYH+LcIPo2/DoXxHraS5ImcLx/zHW/ 3+OCSbkgZpnffSitp9fFoYwL6rxCL3P/wfm9GC6M3MINGgc9zu7eSKBWmT8y A9u4YSA1Z1aWhUBhySyhqmrc0P756Gu+/wi0nLDZpHM/N7y+7Zc1xEqgjgiH MaoFN7x6uLvUl5NA9y/94n1/lxu+jxxYvCdAIHa0YNUzxw087VMXJSkEuq4l x/p+mRtiQh23MlIJNKJ9OjuSkQc+vpHkGcIu0Ste3s/DA984dHakyxDoplHE /ZfyPOBcfkuQJkegnxc2lV+14gF+pqDxGSUC1YabyvE14Pd32ZnO7CbQrsiQ +ok2HsgS4PD7vIdAL+7lXy7r4QH/0YERv70ECoilFF+b4IEpZUMLPkQgqcY/ ilNMvDBic5Jj034Cfe8sKTeV4gWxtnkhOT0CHfx16i/VlBfgkOXLZGMCPRX0 b/E5yQup8akMx0wINL87M6fnNC8Uela/WsNOCl2xi7XmhRzSEZYTZni/Nj/u YHPjhXQvs0ZGcwK9su79NB3KC+PkxaMalgTi7Tjr9bWIF1TU/IS22uP9LLFh PKXIB5uHv5wzvUmgaa0usVvb+OAoH8WtFfu/4qOqSSp8UGj2m83Yk0Bqhbvs RjT4gIdm32foRaCYfN46Dx0+CLyOhLW8CXQ0tyA+zJIPvjS8leD1I1BFmqDy lyg+UFWfOXr6DoH6ZEIP9d/nAw2rZo9a7IWUdWvmOD6oXglX3BtKIJlnEw8O PeEDBQ8mW8kwAvk9LVppe8kHs9OklY5wAu2Lc6r8XcIH2xJPrO+JIlBeSJkl eYEPql4Wzn+OxfuvXyMavMgHAjekxOXiCJTA2dz8awXH5yDQEoPtG0Xo5jPx w8DshSWneAIZxC8rmfHyQ0SopoJoAoEG0pXXwxT4YcvIks+pJwTirnyc+NeK Hyq+WNfcSyEQ450Uc8sL/PCldsPUDPa8foZAuT0/2HCuvD6eSqDO+g/B0a78 oN5ymo83jUCp35tdt97iB/krqoYhz3G/jLDC+Xh+YC1wZ7d7SSDbjVf66+v5 YYTUQOrPJpCYdFX7ShM/JE9HUrblEKheQ7JBro0fNPXY+m5hqzmVf/Hr5ofq vTuvir0mEEuL0CO1MX6gPumXP/aGQGlJ702fMgpAB+Nif9Y7Ag3tXqx2VhUA q5MT5qofCXTewzOPM0EAqrLS93oW4f9T6cvb8kQAGEPKd33EZp+F97pJAhDg /+DfPPZrd5YPvs8FYGKUr9u5mECrbvc+zr8VgG8vRiYtSggU65qe31MjADul jRKVywhU5dRS/GpNAFT8ih/mVBLosaJaSRWDIKSSeeuGsd0m40tGmAXBTVGr TvwbgYSdLEvJ7IIQ94B3ZzC2teN4WYywIGRP16efrsLrOaxXem0TBMW0I9or 1QTaZqdQb2AlCCbk9FvC9bifHKRds2wEwYCd45M+driTAC+3vSCk/Vf61Rt7 3H3leIOLIFyaYJEfwU7xqmk77iUI2/jLAt82EEgk2rHXLE4Qav5q3dZqItB6 QebkuTpBYDyWvqzZSqDswsSI4kZB6B/6OWKHbVFyX4naKggqW3+kPMD+VOnp NtglCCdjHkRNY19qPjx/YUwQ2n4o7EptI9Do6M+Vi8xCUPoM/WFqJ1ADvyLH FU0hOMsQYZzYifvZ2Xn80R4hcBNj/leGnV2ZXVmChMBqr2bABPZdr+0BvLpC EJNiI7OzC/friNpappEQHCBt//ANu/qT1tSAoxC8GHfYP95NoPJzJ1qOPRWC R5Jpdbx9BFLNj39zLVkIukVStqpgpwp1RT5NFYIsPXNnY+yAaguDyQwhKDB2 Dn+AvV/Vujz4gxD4q2cZiBIEKvrP+cPXRhyPmuaMSD+B8rP9HikyC8Nunv5o hgHcfwamYnEswnC5seYxGfv4+OaHjOzC4L2PJRCwR2l1sd95hYE1ZHraB1vg oUi0r5QwUJ9Z7FrDdvR/FdKqKQzlnslvZgYJJH7y+xUvN2FYexFPLh3G87Hw Yn7kkjD0ayioEdhvoj0vHb8mDI0v5ZRWsA/Wkd1lvYVBp7qjXGUE7/9+R6fG MGF4orMvLgm7RpHhvEy6MKTIJnVfHSWQJ6P8sdpeYdgY1/CeexzfBwc4OmR/ CIPP9GVCFvtYyOTZ20PCwFtImtqHLcOT46r2UxjuXiVKXbBrJVQjkxaFgezs qluHLaWxr/6ygAiY31MsDZzA94mLkYHkIRHYpJigNvyTQIpvd7ReMxAB3RgL 52Xs2AVBi+ajIvBseT2CZxLn79XuGGwmAvGP90doYguGWoTNnBeBY9s2BYVj 26bZVpd7i8BHy4bLSr/wfPbc1HPJFQHX02o/rH/j+b32kivygwiIGJHQZWwr /o7mnM8i4P5FNjwQ+6PezjMzRSLwmoNtPh3bNm/K/XKdCPhoDK3+xC6+a/Po 5ogIpN9+yeg+Rb8vDX8HiYpCVNcVDddp3C89Xu/SxUVh743Uh97YDdcyr3+T EoWTP5t+RmDLZrMys28Shcj7Z8+/wm4RKxWJ2C4K4ovFSWPYSvPqWvf1RcFU xf+c5QyBhp9TYhK9ROGV26IRmiXQZMCPJWZfUYhGfQKG2LPWyWft/UVhuUaq 3AKbQZqisD1UFEbMFxZvYIvFkUtK4kRBYrYn/R32sWDp6eG3ovDZOH+7zByB CuwkDRTHReH0VJHDMnapTu+bqElReBumZPbfPJ4X2hORhSlRsPw9piqI3U5I DH75I4rPu+tVW7FnT0jcPLqBBAFmHsfOYcvpib/wkCZB4M/DP0qwY+RIGz6Z kmBQxf2i9wI+Dyxl0wdPkuDVg6ylEGyZmB363BYkEPll630fO3f9SNR5axLU KHjav8Bu/e4nwe1KAs8Kk6ImbIHASdXzISQwPEsLof4hUPSPwgtc+STIWHxV UoB9SqSOVeMrCcw3cAlXYFOPdGVaF5Ng5/1t5xqw336cn/lQSQK30J6OH9jN kVu8rVtJ8Ib7owXLXwLx7bsf++EXCRImg/KOYEcl2FZakcWgdopnqA372lW/ S140MWjasLLQi21p9FQ6ThY/p6ytD2Mrsn+/VqsoBi5DNqsL2FU3dOTUNcWA 81lcnNAigZjMZe5wGonBRKaKpTH2FZEB/Q/+YtB/PsCqCttibu1PU5AYPBLn CWzEPtBASpm8IwZFVqnJ7dj8wcdXKFFiQGLnqhjGzv5TlBn+WAys+jIKGJcI NNaWyGmdJwa/RhNtNbBPxZyp5xwVg+FXd9uSsCXesYs7TogBi+nvnHRsoumD XdUvMXDczuCfjW3Dw88YNC8GGY0nBAqwXUIrdqwzisPDVym937H9fLc9nJEQ B+pfIWmOZQK9dGK0+W4kDpu+poW4YDuFZb9WNROH2489gy9jK2WcXos2Fwf7 1V8+N7HfjubFHj0nDp6h5WeCsAusL1Z9cxaHk4Oc9U+wG0+2KOWHiIOWmk1w DfbigbSlxK/i8EhUJpS6QiCv/ET/smJxUCaVum7GZlBJ4Bovw89rfI8pYv8n HUlRqRGHM8oXmdWwhZeuHyprFwcza49th7B3ZBk8HJsWhzvZ2qku2C5C8xrb aRIgIn6A/B57Nux3iamsBJD6bT0+Y19hGje4uUUCNmWoF32lrz/Ve650mwQU qS8YVmKHVVWGmO6RgObkM5od2C9uPeq4YSoBFX/rdZawB4f3Xy8JlgDWeC0L jVV8XyTWP5MPk4BXOQ+892AnnTxVF31XAgz8Lz0GbMsad+r5BxIQfrm3Wg+7 63VSLXOKBDiSBmZPYjd7/iPrfJWAFOR46Tp2Cd/nqsp5CSh4cN4kF5tSozO/ bVECbLt3Tn/A9g1okopfkYAbEWIh+dj7/o5dsmeShCEDxVcl2J97RKTYeCVB tWWsvBH7bfoVD30FSXjd6Kc9if1s73bxOitJOPWQHEhew+sZsvuv2EhCUu3O qzTsgbODE1vsJWGa5ZiNLDbN78HnIBdJyC94qq6InVqxZA6ekqBtNfdZHTvt aEn8uxhJcFL+qWaI/cLKWDihUhJeLiWL3MD+5qHo/a1aEizPF2d7Yo/5bxz5 UycJHqpI2xtb7vmHPONWSSjVsLLxx345IW7K9UMSjvwLD47Azrg0dN93WRIa OX8ZJ2NnBV7hs9sqBW3apUKV2JN7zvgFKkvBNz5kVIWtOH9gLmWHFCSq+ITX 0L+3Fmzr15SCtzKmyw30+NC7+FO6UnC7MSa/g57P0rS04VkpOHbt8Pdx7ARn J6Wd96TAzqDSk/0frpeMSaJxjBTcWl67zIlN6tnN6xEnBY3Ke5y4seP1OWaz n0hBb8J3E37sB5sz8uQypMBj0wduMeyoH6N7JEql4Ip4uewW7GDT84eZF6TA pmTDgg72s6M9FhcWcfypzh0HsQsOmbpUrkhBYEn1p0PYs3sP3gtjkoZQacer R7AtZBXaBXilYb0ksN0EW+XvrLWMgjS8bpradR67L97vpo6VNJRZecR4Yy9F r4Sl20hDy92Lu3yxBSMuP2Gzl4bl/+L7bmMfum1bVOciDR+rEyiB2LkO+ixm XtLwk+VadBh26C7+aNs4aVhj1KXEY+/sSX4ZXCcNS1YqDK+xeZXsF3MapWG3 /tKJN9iTPkoHO1qkYV+fdfZb7FRa/pBclzSoONNO5NHXd2yVrh6RhqR+n/jP 2MtezIdZGMjQ/rOluwy7k0OtWI9EhsUAE5cO7ArVh2M9YmToamZ/0kmP78wq j7sEGVaqI6q76PubU2L5UJoMLfv/UXqx9YyPro5vIkMT98uSH9gfE+zVw1TI EPmfTO0EvV5bHmXVHSbD88Wn/61iz8/ppvkfIUOhqYXcGvbRr7OPNY+S4apP 98F/2CzG+uFpRmRg+Cfjz7COzw+vpYu3zPFzTq6fG7CNGk7IbbUjw4k7rre5 sDmvCKaE+5Ehy3K1URLbHhUl7A8gg2uZV60UdimbU/RiIM53dqRCGvvm09Lb NnfI8Mj01kcK9nilx7k9UXi90ea7m7ArxJokJ5+QIbFTlm0rtk9RRPzhT2Q4 yZi4Zzf2RG9RzNJnMrirJgnswTZbmYtKLyDD7N5P43Qrqp26w1xEhmZb9fv7 sDsyZW/mV5BBoNy7WwtbJa7wtEIrGXYk/tXSwx5xnpHimCJD0WtvJxPs42Ey 4p+myTBuqSJnil3w4oSI3SwZfiWRBum+P/iFp3SBDCbaQWYnsME8lMFzlQzq eVM7TmEnHKANTLBRQHGiqOos9hFx07RqGQqErB+2u4gdP6RUdFqWAml9EgyO 2ENZrN2Tmyng4mUcT7cXFPDyKFCAT2y+wgn71QWal/F2ChSN8km6YrO/njHq 2UuBc1IaWZewKw/cZfhtRgEUOHPOC5uf217c5yQFbqQFjNJt2a6lxnuKAo9y 7zrfwv7jsOCocoYC8eVs172xZSMt2q+ep8C7gowgX+yATvnsdVcK/D3GGxaA reVSeZrvDgUuSimrhmMvd4zrloVSYFd0ai7dudqcKtfCKZAgEa4aQf8/0nHW 3kjsh+9V7tL7o6wr90UsBa6rhshF0etB+s0FqRRInXywfB/brVywyKWQAjct xfc8wpZXVs+kFFNg7uRqJt2DCeaxrSUUcLhrJf6YXm+3p067KijQXf95ke49 4nIkljocf9qHrKfYrO67PZ50UUAhw4jxGXaihLVM7QIFyCOtRi+wd+1QULL+ S4Hf3E1ZdLcemldfXKSA7xNX1pf0768FHZZZpcD0wQcFdLs1ZXh4MVFhyDSc nEmvd9BckSIPFfyvXGnPwh6YCjgTIUcFh68xzO/o9WMxtKPJU8FCKciYbmFJ EfdPClRYGZRJoVtf/2XAsBIV9nk5auViv02ty9y7kwpFQ7I387D9zYWXf2lR gSvvWc8HbJnS9FjD01TQyTxkX4Bdr7iY2mNBhWV7lSy6r8fqvbtoSQWplbYZ umscxhuCrKhwOMjw5hdsD14FtkI7Kug94gj5il14Jttz22Uq3OoYiy3CPrWY e443ggpyF775l2FvsN7o+vQuFchtXkV0Z9eY3lKMosIO27lVuhkT/zzUu0+F 3W2br5Rjv9DRaPF9SIWpQ7nWFdgL0fk6M2lUiHx+V+UbdtTWEvnmrzj/mR/P a+jva5xm8yuignBOcz/dhdrzo9tLqBC601+sFvu3uWzavXIqVH6TiaD7cFCo 9PFabGUP1zpsFsJIsLETe+aGXAO2Z9TgWt08FXod77s0Y0c/8uq59YcK9uoC yXRnPBfK37pIhfB7p1vo7ig4eD1ihQp85brqLdhq45mzBkw0MJwJX6V7Wuvy aA0PDZyTWG61YdvObWiqkqfBLzvKiQ76PGUcqLdQpEGIlrwv3WZWATVTW2lw M5r1Jd26DcwVQttpoKmru0y3bCZTvpU6DWrSqxM6sYetGdKWtGlQOCbR2oVt 07xyfcsZGnzkEtzSi21xZ/fVAksaCHNIH6HbBDwvHT1HgyN9G9zpPpC97Hzl PA1431p9pFsmdMm62IEGUow2On30edH6a2B+lQb5xzJOEtjWb2bJdyJpEBCr deEHtpOf8ar+PRq4b3ocQvcV49x2zvs0eLOtPpPukIUrd6NiaVAZ8GmG7mzN pZW4JzQIbn/rOYC9VLz+/XkmDeSPnwkZpNe3mTOirJIG/FubA4fp51+Ks31Q FQ3GblxLpTvlcr22Xg0NBBOWSuh+Lxy1XFNPA47BmHW6e04J2Le04fxvKVwb wd48SNIeGMT5sC6eHcVWzr0plTpMg0fg6UX3rsDupQujNOgL6o2n22Dzk9fj EzQ4XoOa6PZwJEvNzNBgi5gPjNHncc/tpbdzNBBK/3ea7kCugdbLCzT4Z2l5 je74nJSwxUUa2PR9zaL7me8Gu8/LNFD6VfiN7szjF/Z7rdLgXl7yIN251ArJ ff9ooHra5h/dX+dkl9bXafCVkZU0jv0/5EmTQw== "]]}, Annotation[#, "Charting`Private`Tag$16478#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwd13k4Ft8XAHD7vr323WuJLBFJqbgnUUgqpSJbUpIIbZRUliwlkj1rkSVC oUiy795RyVJ8VdYksm/J787vn5nn89yZe+4958zMM7KOFy3OMNDR0VHwgTwn +zmyaDrd06ejKxmcc96mV/eJanac6oLSIlGP2/NP+usNlQFUqg9iJMxPh0bN 6vNElRZy9PijHiJWoW+CGSVXhcswU0PRVYtLzZHnBJDalNODdecINJJ21Sd+ izTq50n597c7ConolUayZ29ACs/YdVZWY5DBHp2YfSc3oQt6V9wWZRKQ+uMq vUmRLehV57eMuT1JKN664I4EZTtacTXrm3ZORXPczCJOcXoojb4vdNEoHeUV aaDbnbuRYfvDDQvdT1Cm/6ZpQTkjNBa/r3rOJQPtOPZx9OErY3Tfac1mdjUT XW4Vz5cMMUOfVs9F/5HJQQw6b9h9bligq43Sm6eKcpHkPuK/usajSPxRZ+vv PXlI+nLK69Etx5GjCjD+ci5A5VscVfjO2yCG1evEnG8hKleLfGG4xR51frOU mjMqQuF3rq4f5z6FvPM4y2a6XyL72km+A7JOyDRqhGUm7RV6FpRuvbH6DJL0 rj467VKM8o4+GbO86Iyq9lz7M7VagirDi5KG5s8j1q8/lH7LlKH4b2cMrI94 op6qd1cmxsoQlWGn2bKVF8p9Fl/7q6gczVmf383sfAmZe5nbj++pQGZPMlpY oq+gWPby2FHn9+gf8ZbTdNt1xJ/UxDDdXYPeGqndlDb2R6s8pTkeu2qR1JPv RVXL/mjoztNDf9Jq0Zfi9oU/+QGo1NkvZcqlDhWUz3Z3SgUh6y3aOyZX65FW lMWuJPEQlN6S6vlLphn1Mu3K2nz7AZqLL1EZuN+M8vQ363qdi0B7nVsHPy43 I4unzGxBypFognHRsvxTC7LM9tQNFXmItuuZ7wgNbkM60SeHC+keoY6CvwxK UwTSkfXNV2eMQ7da1Ew17T8hnu7g3Yw5qehFQejXC+pfEE+DPOfswRzkjD4k THgNolR74fnA2RLkPqw8WPziJ6qaotxs8K9E3+x62aqbf6LJJ9VCyZmV6EhP iHr70E+Ur0PY2jZVou2toz7D4uOIttkiKpH7PWIsyuQTDh5HvZSyKqa49yje V1b/mv0v9O9qZHutRRWqFhBL0OX7jT46UQ+cP1GNOGQDlQa2/0Gc/z44b0C1 qGnXQw0/oz8ozNwlOcGsFt09kbJNyuIPunJwjJvRuhYxRL7Zd9L1DxL+vvNp yeVatPJvwrk7+Q/iLnvwJiGnFv3qs8wmGKbRQDm9lR2lDrXFKylXtU0jpsO8 mcM9dSisWFvTvncaxRowcDMN1yHjjt26/4an0dukmgmR6TpUx2pjsmt9Gp1N N5SmstejiquRLm80Z9DFzzOxL7fXo/yjyzmFsTPIseuiymBMPXrA16qS7jCL 5GjxRhHGDahsm1SJufssWjE09dt/tAEN2V1Ef2/MItPs+slV+wa0M1/g6PG4 WTSW1BSpe60BjZnY3OSmzSJd8br7GzMb0J6A34TPzjmktvcNw9d/DWhpnveK hfA82lnowViV04jkpRzX1+Xnkea/0j+8xY3I3LA4NF9zHvkIl08erWxEmVEn UtgOzKNa2i/dyo+NyEIjvbEyYB6F3Sjq5lltRPnntMRVp+fRe+6ljBcmTcjx 69H3jG0LaLlC7ZD0QBPiePzdzbN3AZlYO8/OjTahl9bukgMjC0hWJmyx+k8T YvwS7FNOv4gGtO4DYmhGGT3lWzy3LaIijtSsRoVmNPKZmv3fk0W0VjFoLXyu GZ3vmIgs81lCt9ocJwZGmxF/pA9SCl5Ckc+WdR9ONaPygyyT0dFL6GnASo/u YjPiJGT2exQsISqYKnuytKC8dgtmpeEllPPo4bC3QguabHnjE31oGV3wtHWY tWtBnvWBjheVVtB+JluvpvYWJD20l2VhywrqM9n2dx0/J60M7Lm+sIKYVz80 bP7SgjZA+HSo1Qra4W2s4zfSgnrLY25n3FtBpkWb5Zr/taDdhc9SeqdWkIvO PQMF9VZEedz0Zc+bVZR2QG6PaEgrqiwL82upW0W9nr9UA8JbkWuPmdzhD6to upiFZyyqFdULfXCxG8fjV907U5NbkU9k75K35F8EjKnMTS9b0fegceEXt/+i C1xnuta/tqIiD64joiZr6GSaePIWlTbUlijgk39sDc3mU8sPaLShkTrxVAOn NXR/+0D4Ke02JC6m/OvCrTVUS3/28lX9NhRYbRRQXbKGtvNWLFtatKFj/Lde nZf7h+5WeZVMe7ehlVfTAu9W/6HzNHmXpuo2JPjfkq4F+zraZ35nbkNDG1Jn o3MYFV5HAhtaGP1a2tBpG548itY6qs+za5D6hNfDpGp49tw6KlzbfktyqA2l WDpd5v28jra9tvwqwdyO0m+4jm8+Tgeaiioc+/e0o81V7EvBtnTQ4PpXo35v O6piymYeOE0HvHHC6jtN29G38CFquAcdnFhIrRM/3I6k02yP/wylAwa9y5+z 7dpRYt3BuvQKOkgRfGDF5NOOori1U/jl6OGO817h7tx2JGfx8bnLRnoYrelI 7cxvR0WxHmVV6vRQW5AVQitsRx0y+Z3uO+lhbn1XyOvSdsSjpcjZepQeKpoo BXY17SjsmKh3QDA9XC9CEsy97cg/9e/huQl6eDjWL9jOSEOHNr/xVJ2lh6p7 boqHWWhIuvrSQ8dletBP+KnxkY2Gyn+Md3QwM4DkE8ftrdw0NLOh92C+NANI aV+/lSBCQ455JQfOHmKAXa5naDkqNLS7zN2k5xUD/DrcZ1VgTkM8piouvOUM sO96TFHPIRrq+zIcsreKAXK0lZ3XLWjI+69NU3EbAxi5GS4ZHqehQrR/38Nh Big5cJixyJ6GqA1KRqYijHDFkNDi9aAhuk/foOI6IwQqJGcsPqChwJ+V6dfv MMJb2H1tJZKG2OmSGXRDGEHcYC1hJYqG+DdZ1ZXEMEJbWm7fTCwNbQj+sK+g kBGCg6yLalNoyHRnjfmTEUY4m8114Wc+DT16+tQmxIIJjmxdSD7ZQkOi5Xfe 7bViAmtZ1iyeNhpK6rCXZnZggqJlLqf37TT0bE3i2x03JmDQ9mQW/0BDb45H n74RwgS/Nf5sLe7G++UMOu9eyQQc+107/IZoSPHyWe+jKsxw0Nsv+vZfGtq0 Y+BI6mZmGDkSydu9RkPadCc0xnWwlSy6VNdpyOC+ycitPczQVcJ9sIOeQHYZ akef2zDDMQtfRWZWAsV2zmgwRDDDr86FrVQKgZi33hotmGWGMBeuV8oKBOJa XaxZWWaGRP+1mwc2EIi/2iPFiI4FJgeFP15UJBD1gKPlVy4WYGAZkCzcSKBd Z4xqWRRZQOXqfXeZTQS6HMOZanuCBbh8EiLLtxJoaD7uGOc7FnDY/7J30ohA T3ZvudRfywJnDuX/Xt1LIPtwWkRBCwss+SmFsBoT6IsCc/ORHhaID/U+IW5K oA9HvHYmzbKAXW5Wsro5gSqLzKibVFhhsIHrksAxAsW50Y+bx7GC4ePxc1+d CHS0LIlFNoUVNvo9X6k4g9fPvF1+NoMVmjruHkg+S6AHSe42cS9Z4cJ5ez3r cwQKbP1KG2hnhexZ6yv1rgTyUC595cHEBuoFy7WOXgQyHT5/M8qTDdwNu/tq /Qi096Z8nqE3G9x5lmB48xaBDIT6viz4sUG31+6crbcJtMPowPaT99lgD3eX +9M7BFLJ1JiVz2KDtWQF/kuBBOI8M3eupA/fnxLxezCUQG1DN4/27GOHvm+b 8gSjCdTkqxMQZs4ONo+rthVi1wlOFe2yZIeq7tQx0xgCVRg68KY7soO8oeD7 m7EEysswaHG5yQ4TE8EOvfEECndihdWX7KC8xH7JJZlA5kORqtLSHBBjk2Y8 l4njqQ512ihwQMtw9Te3ZwTaf2mb32MVDtjP590zgm3M8F+H6DY8rvHxZ1cW 3h9V9arAIQ5gGL2fW5BDoK029VVs/hzwwNDG0jCfQJKdy5azwxzw2j8gdP0V gRIlDqxrTnBA5n/UyLPFBBI7nZbtMcMBAu1KPO3YwjN7V3//4wDONOql+BIC 8fFFp42JcMKtzjuzG18TiNFM/Ve/CSdIess4aZYTaLzW8XZTPifQ6TqGDb0n kMzDnvMPijmBU4pdek8VrredueXRt5xwkyqrnI5duaSr8q2JE6aCo7NPVhMo ahOlc3GQEw5JpDu01BBoZ9x7JSVxLuifphyLqCfQ/fOSRNBdLrikqWlY0UKg 6m1RZfvDuSCgVFuBs5VAC0xsGZRoLvgek/zQCtshddY7OZ0L8rdtFpnH1u5s kSup4IKETvMBxXYC9ev5XB2a4YLxjVwzVwgCqVO6pPbYc0NZ6W6thk8EGgkf 8Y85ww1KbILhjJ0ESuZYHB115YaYqJPRgM3FJPryvjc3iPWL55Zhjy9Y7e16 yA3camzrWZ8JlNnX7+5Sxw3u/Zm5V7px/rOH30co80CiqjWt+wuBOhUWFH5o 8EB7vVUg51cC3UtnCdPW4QHz5apZfeyVRKWjvQY8UOenRJeJ3RPuMiZnwwNW O/71uPUR6NGl33ylD3jgu4pkz0w/gTjQ/Km+WR7Q2cV/te0bgbx3b2QrXeGB ILMvGavYI3tOvoig5wWe3hvhKt8JVGNcvWLAywv6Cx/Dg7GvW4Q/ylHhBd1N dy31fxDo15kN9VdP8cKNyaxjqYO4H+9bbqQQvJCY8bNBcwQ/PxEhtPHPvDDD 9OvXCezsh28v1/XxQpbv+a5b2IGxstXXxnnhvuHmtTZs6Y4FtSkGPljRmUp0 GiVQV29NvaU0HzjlrdiHjhFo32/rRTlLPtCvXjV/Pk6gFMGAT7dO8MG3Hw6q rdhzO58X9J3kA69jPT3j2Glhq86xjnxw05spW/kXzpdSUg+7Bx/03bspnYmd 59hf9ieMD8S5LTIfTeD+7bH3razig+O3vg4emiTQ2fXgExJ1fBBiHurgil2h WKjt3cgHlkGypUHYLlfofmvS+GCSMjJRhl3Dn26b+ZUPFOmiHlDxf8nlAz/0 7y/wgcYy64cR7J4aJ3prNQp8OkrXeGKaQH92fxG/qUGB39skDrphs1Yf1E7T okBw01D5HWyd9zucR7ZTIOoGRT8XO/otX7uXEQU8xwsWlrEPFlfE37OjQM7C wsHoGQI1ZApufhdJgUl5u8SSWQL9pxBm8u0RBXr0+vsasOefrjsyxlGA5dA1 1h5shSfjMSbJFAgaCRVawfZPqVr9nEOB0qUJUb05AunHXWicrKEA85vnXZXY JSF1dtR5CoSxZC0VzeN6mraKBi9RQM9ue1E1diLXx4+/VymgZido8QH7duTA 3rcM/OC/iA78wTaLX1E/xscPJ+bdN21aINCPrM3r91Tx+J/3xU+weRqTUhdP 8cNngdPlNxcJRB/61MruDL7e7sS7MOw501yB+nP8oK+SlBeH3Ut7HRx1kR9e 1QQfKsLO6Pp4cdNNfvhku6NoEHvHCBucjueHaB+3P4ZLuJ7MV77RaPxguHxq 4wq2uExz9+oHfih16dnKtEwg2nYpYuNnfuCR59zKg61zof6d/1d+uLtthk0O m+WT0GOdMX7QtvrGZoKdmVZqmUIvAJe42K5HYw/tXGpx0xaAoYTvWbIrBIq3 NKtJ3CYAyzEUfhVss4tpZY07BCBLwMlDC7v4iXG27G4BGLN+x74HO5A9Iejz AQE4Ms5ZdBpboVsX9JwFQL/r4n9PsE973SjhShQACYsNImKreH1a/5UoJwtA 7S6JdRlsjhko3ZsmAGs7nfsVsQs9WV7ffiYAHvk6N7Wx/3o8fDP3UgDcPijt P4gdezHrbV+rADg0LKgGYDdf+FSdtyYAIh5adkPYSWo6Nc10gsDeeldlHNtj Ir5mhFEQylybJqewhS/Y1VI5BOGVwU77VWxH15910cKC0J45/43yF8dzWW/0 1RCEczoeHnrYGs6qNLNTgjCsIcgcgf2fi8zFfCdBKDTI3x+Nff+CAB/POUGw ctYLS8D+6bl6mHAXBIO8K1NPsZ/6tn4+7CsIRx7knHyDLRLl2n8sThCuMexo GMBer3g+4dAuCO+M27cqrxHoxfvU8OoOQUhWsovahG1T80hdrlMQjN4Yj2li lzXe8Bj8IggSrYdu78C+9HH/3JkxQaBUbHXcjz06+mv1PKMQTM8lzrtiE/xq nFd0hSCDTzA5G1vfze3n411CMFpUu/ycjNf4orEGCcGkQOHhAuwHvpqBfHuF YPg/29kSbLMRnbXnFkIgsv75Xw12S9nuqR+uQqDkc2BnH3a9w/FPh1KEYNNV ihfnP/w9ehtfdC1dCF5/ljXgwc4Q+hKRkiEE/ZaqPBTswBYbs4lcIehzhURh bANtx/rg10LQ1ksJkMWuYnV7XdkhBAnCJkk62G9f+D9WYxSGIcF8QTtsFjNL 8TgWYeBwkU53wD78UymBnkMY3rGkK5/GHpVvj+3iE4bC51Pq57AFEkSibksL w+IVE04vbNeAvJBOXWFI7s/kDcKWONF1xddDGPqC3lzIxj47nz03ckkY/Exq g3Kxi6JuXDp8TRhq3t17nIe9r53qqegnDIJGru8KsS8ZuF7ouCcMQjmrX95g t6rRnVbIEoa1ehH/Juwb9CqH2vqF4dnO12nD2COGnD2K34XhovAvi1HsQyET 9neGhOHGwF2Gn9gKvAUXdX4Jg64Ws/UEdpukdkTakjBYPgoan8GW3q5Puywg Am5cX6PXsWvcLcykTESATYpVWWSdQGovt3ReMxMB6L4WIYodOy9o8/GgCGSo N82KYbv6drsGHxMBDmO+UklswTCbe9OnRcCh54asHPbZzLMt9X4icPXMnVg1 bI6+68buxSKwlbOcB7B1ruVwR7wWgaQvrXK7sU/x93wsKBeBdZUjWw2w3xhv tZ2uEgEuyVZLQ3K+kinPy+0iILU9JdAYu/qB0+PrIyLg+/3540Pr5PfcfPKu qChUVse+s8fO6PN9lSUhCuv2DhkO2MS1595N0qKwu3Eg9BS24gs2Ro4NorAT WA+fxv4kXisSrikKomxqHWex1ee27X5kKgoj2Y6P3LCHn8lGp/qKgq/VYd3r 2BOB35cZb4tCbrQnxw3sGcd0+3MBohAtfuALaToZWVXNMDxfkt7Vm9jicdSa mjhRELyvm3ob+1CwzJ/hl6JQsWHv67vYFc5SZmo/RSFnlp07CrvWqL8ockIU LgdplJFukU8WmZ8ShTu1xk6PsLsHJAffLYiCgYPN62gy/nHJ6weZxMBjQOtw HPZGY4lsLxkxoOeePZqEHb1RjKnMUgzQT4+sTGwbO8WswRNisPo5WfUZtkL0 FlMeGzE47MFZQLp4/UDkaUcx+JGZ/yoLu7PLX5LnohhEyGgV52ALBE1onw4R A+EVpUf52FHf35/hfisGjC8GacXY1iLtbNsr8bi3mF4JttyBL88dq8UgUOZF LumXb+amXzeKQe2txYBS7I8Ryn6OnWKw2CWn8Qabov8o9vVvMUh1STn3Fjsy 8WzjKao4LEnpu1djX7vqf8lXXhzYV7SaSNtZpMjEKYqDen62bA3Zvxxd19rU xMFqQfQT6WYfo43bdMUh56nU5jpsBiuFUC4Lcfg+vPNTA/YVkR+mrwPEYdfI VHUrmZ/ZtYUPd8VhbF2Buw3bkBB7OhEqDtX9v4+T5g8+vCobKQ5pe/QmSL9Y qHp+P0kcgvcN8tKwxz6ncjmWiEPe8449HWQ+om1pXKPi0Cbv5NiJLfmKQ8J1 XBxqqyOekR748Nq5+bc4vFa2GCftxMtPf3dOHOxCkj0+Y7uHNWxZp5cAqS5b 7y5s/9saCdOSEjBjt365BzvnAr1Tl4UE1Pg/VuzDvnDvRaH2MQn4RVdoR1o9 9+RalJUEmBEXYkm/HC2JPeggAb7h35n6yf5zPN/c5CYBbMMN/aQ7TnxSfxsi Aa55q7cGsJcMM5dTKyWgoGQy9Ae279vUgLpqCbjQS19Cmk4rkftnnQQwnu8a IM0qEyGr1SoBvKL12oPYwsveJnXdEvD2UfVX0lvyzRLG/kjAo/N+0sPk/oTm tmvKS8KpVAOfUbKf703WWCpKguUF2WTSVxh+ml1XloTYntYq0r5T/Q61GpJg /jmQdQz7XnNjiOUuSXi9PzKKdPbNxz0+lpLg8MEs9Sf24LCBd02wJMxaKMf8 wjZIpT1RuScJgZl3S0innbBuj3ogCZ8SCz+Ttmv1lDsdIwl7a12FJrC/FKa1 MT6VhErHkCjSH2/8oxpVSsJoTGbAb+waSnlz45wkWA1X75nClm01mtNYkgRN 96N2pG8HfpCOX5WELTYV3qT1F8cunWOQglpv7nzS5X0i0ux8UuCuWiHwh6xP 1hUvU1UpyNcM7iX9RE9Tov2UFAzHFRnPkPHMOQJWnaTgjiSzLekf9oPjyuek oHl0hydpef+Y8rvuUlC42TyBdEbDshXckAK+NLEx0pkHa+JfRUtBUuzl27Nk vk4dEU5slIJ4IfbkOewmLzW/phYp8LeYzSc9FsA8stAuBSY76ipJb3z2uuRI pxTE5Ip/I50zLmHJ/V0KNC6myM5j514aenR7RQpKIxXSSOcHXaE4b5IG+2t7 7i+Q789dtv5Bm6Xh3SGORNJqc4azT7dIg3vquyzSuY6Cn7/pSkP+lvEa0tno Vbz1XmngPGG/RDpj+Y+Mub00lFq8t1/ETnS7oL71oTR07yqhLpH1UjiaeiRa GmjTGmqkxfp28nnFScNfImEb6XhTzpkXydLAfW2nOekYpdySjbnScNan7Drp yO+juyRrpUEv8U0H6WDL0/sZ56Uh4VmQ5zJZj4N9NmeWpGH1zvgN0hUmlu6N q9KQN6h/l/SM3r6H9xhkIOtLcSJpG0XVbgE+Gdge0VNDWmtxxlFBVQYsO4X5 VrD/i/e/bnRKBqS/qqWSXo5avZflJANqYRlZpAXDLyezn5MB1ns8haRN7pyt aneXgfLJsirSxS6mLMd8ZcBEx/M76bAd/FFn42QgI9iHuoq9tS89J7hdBsZQ QQxpPvVzSwUdMpC2RSOJ9MQt9X09n2RgVOPZE9IZ8m+HNn6RgYuJPgWkBV07 ZVpGZOB8+psm0iu+jPtZ6Kig2pi7TLqXU6faWIwKJ2rSLf9iN2gnjPWJU+Em p/hJ0sW2f3k9JanQxBrmQDqyoMYuQYYKafsPu5I2PnLw788NVFC39btN+k3i uW33tKig+8A2h3S88uP89v34/pPB86TnZvdmBhygQv8H9xXSBytnknQPUoHF znydNMsR0/uZFlRYWZxnWyPfH77L529aUeHI5JgEaQvi+MZNzlQYqHUF0lxX BJ/e96eCGOfRQNLnUFWiQSAVylZsQkjXsl+IWgrCXrW/T/p6Su0dp1AqGHge jSb9s9HLYVckFaxHlp6SbhD/IDWRTIWGmK01pG9VhcfvL6NCs/WWFdLHVmcj syqocHkmj+4f2f861qGMVVSYNaawku55rnj9bQMVnux/LEBaK+79SdVOKmw5 UaFKesRtWppzigpXKB4nSFdkHxdxnsH5Diu1Jf1o8B1v7TwVlJUmHEmDVRjd jb94vqENbqQTDeV/jLPLwi3q19ukD0hYZrYoyMIembBM0r5QwcerKgvmJon5 pPPOyPse0ZQF5OhdQpqjcNqiT08WjlCe1pFuNHxAN3lMFtR2fPpGesFl3lXL Vhb8Cy+NklaMsOm+eloWDl/79Zt0YK/Ki/WLsqCddWaF9G73xpOUUFmYPZNJ WSevFzvM1h8hC9YSsSKkueq+FGfHykIU1VGKdI/YJDdkyIKFUNRG0h71glXu 72VBa+mmHuljHikXdjTIQo7yZQPSuyQ2irG0ywIRdXAfaTbPnV7JX/B6uUoP kU6VdFRom5cF5ce7Hf8/34dcL18GOSgLH3AhDXdnq9R45cCJSvUk/WMq0DZ8 oxxwK4b6kX6Z0f5cb6sccCQUBZIOsBJe+b1bDuTyfMNIK9RmxZqflAMHcfYY 0l58quzvneUg4sXXBNLvbV/c0LgsB1l/fVNIWy8VO/CFy8HDBtUs0vNRb42m M+WA6i1UQDpyU43Kx0o5nP8dpaRZBiwEO3rl4LSgxDvSNyIH19rnsP8TriX9 Z/fl0VZeeRgz928ifXaW6UOzijy8PR7UTtrp46q3sq08uEY1fSbtWDRDDY2Q h/P6L/r+H+8jV3hdozzklmwZJF05q7i8vi4PzboRY6T/B7RWcTY= "]]}, Annotation[#, "Charting`Private`Tag$16478#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwl1ndcTf8fB/D2HvfehtBUvpFIhJbe76jQQioiGkpSUhSlYYT21FJKFCoS zXuTUkpLaZAWRYOWpKFFv3P6/XUez8f7nM94n9fnPI6M7TkTexYmJqZvzExM 5DXZz5ZD2S5Ei+mq9Ssr+x07K1ulDQ9LO4I/D1tcVHKr1tLbUn9paS/QpPGa GFye1BKILnzO034dHq07fbWykh2SX4dJsUsHgX4GfSJGTQgUx+3ClxwiIJX+ cdvNdgn4LJDyb/FTNNA6zwjXWawFuUfc2+cXYsFGIyWxrEcRnHd6nP0jdQdO LV1yPViyBfI+9KZP7b4L+3VXyV+O2AHzTobdEw73wOT5iprkQU1IZe4O+qN7 H6yggxpqpQ06DVFrZz49gIhaZhb5EB34kbCnfMoxHaxTGiVbpvZAqN1fy8mF h6DYw/xBJ8kAWhdOx/ySyoSwEdmmt+8OwsVqyc3jL7IgJSfr4MU/h2DV7Q/1 Y7ufwrkPPPUiWuZgq4CsIw45cFZDpq5R/BiwLFx+P+XzHBQpPpElecfhQ6+Z xJTuC8hNi1+U3WINnk95Gb8/5cK1Hs8uTq6ToB89yPE7NQ9usnCLi9+0A3HP ctMJx3xoUuA2HOE/Ba93X/o1vlAAr8JH/zzWdgTOrm/yY1IMOJ6VLGkg4grt r195jP5gQH/XoILSkitkPUp4M/KiGHqDWzgnxtzA+Lyx1fDuEmALlfdI6LgA cdzFcd8dyqAgWH6T9eAloN2tYZn4VAHpTxxsqFZXYUGgMNNV8w1cdEudvTJ1 FfqvpR34lfoGUh357waHXINCB7+UccdK0JNh+k+39Doc3aqi/nOhCthF8g+v 3nYT7tfdcxuRqgU5y5k3slbBMJVQoNATWgvO6qrumStCQM+hvq9lrhY22TG7 mTSHwCjrH7Pi1jp4OLTLq3dPGKjuNFYPCngHar+4Lh2XjoSmnEUW+fH3kN0z f+SY4m24Uqeor2zVCi4R2sO85+/As5ygLudNndAiGIvFfx/AMG04VN+mEwZt 2kLMNqSB/EV9rXUxnWCv7CrWdiQNUjV57/fNdYJuMM/tG3lpEF0beupoVReE h2xJDHRIh4t9ERN7LD/DF+nhS8W1D+Eeb70/VbcX+L7MWDRcyACtnd6WV0/0 gmkJ9+KG5AzodtmwbfxSLzxMGuI/+TYDxFpCBt9l9cKa+hUBFmKZEJVguC+Q 8hU6QzMXrYszwX9to8BS11docqap5cxkgQM03xk93wdsX+8vHd2fDUwPZoq7 QvqglCPN6/X5bEhgE++uS++DR2L2Pxdis6Gm9pRkZlsfHP+4lT7VlQ3rTBcf 2Kv3g8OTDY1j9s/gx2n5p1+YB+CEbSj/P7ccOBPtW9oUOQg5zye8rQqeA8v0 g56yzEG4f2qlo0flc0g8XMOUUzEIm+SGWy62Poc6caHdYVODMHizVVdz4jls eJxRve/Id9CI7qlt2fACRl+2NlVI/YBzlv6fdyS/AJeB9X35z4bAvHZPKLrl Qu+JDq7y2iG46P2h7KdfLhxqD9zU0D8E6/IN3t8KzQXV+u9eA6uGwXkyvM39 cS6wvnhIEQ0YhjD0bdPvzoUEHxmtS1Yj4D6geG1COw/KhVbeUaOMwXkmn2t1 f/NAJaymVHfDGAjcXXW2hysfHnF49h/UG4PEsHrqV6F8CJ1rUzrjMwZZ3kOD Wevzwbwn5m3ijzEIe0M/ecw0H4azKFMLr3/C5xrjAZ1H+cAjc0O+R/UXeG3l V+nXLIAazSglP91fRM6+uK3TLYBbR1J2SJj8guHdErdOGBUASyR9zzEnor4t 7krq8QKY/zfq8Cn5F+jnubX5+hbASLdZxnuWCchx5v38rLgA3iXIr3/9bgLM ZiiJZzcUQnC+irJVxwQ8OShmT91SCHubtNX+DUyATcC3Y5mqhVDJablPc2kC xmO0hAt1C6HkYqQjXfk33HkVnq5jVQjZpnOZz+N+Q5VVTKxuZCGEU+oV7ltP QnLEPQ6j4UJg7JAoMHaZhNg5kQSuX4XQf+IcLHpPgu/s+TL6dCFoZAuZHo6f hJs3FiT+MBXBj32WvvyNk9Bgdkbzp2gR7PYfe++lMQUX2ZWZP2ERuGTBUfl9 U1A2c5x7QLcIEpuj+j+YT8GW2rKOH/pF8Etq+5zS+Sm4mV8n3mJaBCklfmsG M6bgacgBpY2ni2B2WtDDRHQaXC+YrBQJKwJZCdulJdlpuJL0VCgwqgiMdfKD spWnISO2YWIitggeRh9J4TKaht+KO5OzUorAROl+dan/NPwK0fV6kVME2ae3 rNowMQ3HvM5flm0qAtsu0zLWdzOwUB+Wy85LB56kr2fdOmagrn5u+KQAHXKP uoj3DM6A/75PW19S6cDaGeBVzPwH3EJvbDATo0N6e/FWtx2Em2bXqK6lw+BH 6YwvD/7Am2/N16t20iE8Ntvc8PkfuHhX/H0x0mG7mTp78as/ULPVfipzNx0C PhyyjW0n/PHTrMc+OqxrvSVuKDALHb13lN+a0uFM02gkw2sW2iePxx88Qwda pBfIB8yCyNfDA0POdCjez/EzJmYWsvLNy33O0YH3vZSBa84sBKsyGUW70+Fp gwm7/MAsVLUZt/n60eFnHd0r5sAc+FLja62i6OBWdcP2nPw8zAooud/Oo4Nk vx7HzNZ5GAkIee1SQId6Fu4sH5yHv+xylnpFdFiLYRNBFvMQs9coabiYDh3F sVfTQ+ZB/7H1BGcFHbSfP0rpGJ8H75rAl0nvifkaT++yXpwHC56ngtBMh6Qx hcFBrgU4fVRCvKeFDtMKORunZBZARU/KU6SNDpkPi0oETBdAzmvb4LFuOlCT ajp30xcgukf6sekPOpQygv3qKhfgsC2v0dshOji1G6452LwAHxo1uLeN0KFK pNnxxPACPAq83MX9kw5ekR2znuKLsH/IIjBqkg5fbw6LPru6CD5+hzIl/tHh hSvfIbF9f6HLgsvAkMqAd4lCXtnmf2GVr9vUdRoDBitX3dtl9xfsleBnoRAD Vq1cP+J85S+IfV07JCrKgBvluv7lBX8hpn08rmgVA8xpV/LOrPkHwRW/Mq7K MsBV81bHktI/CHOrGQ+XY0DwqbClmJ3/oO7YgS+JaxlQVpxkUHbkH9QrylQ9 kWfAupP0PqGIf1DzLkEzdwMD5vMmhF4t/IOqk65DZlsZIPxlVs2EewkehUx1 oQoDNnExWX8XXQLJVcOv129jwElLgafULUvwpKDDfXo7sR+2DTqnTi+BTXYd m4c6A1LM7NwFPy5BwqXug2LaDLjv7TS8+TATNp3slOQ1YsDm19yzAceZcMS2 MuY54ddsGew9J5lQhc0629SYAb1h/dJhrkz4aMu55oT9DJBMPX54KIgJfe12 baaaMCCxcn/l/RImPL/HPq3SnAEK3D+bZyuYsJlbJ8DsMAMYRqE9+2uZ0PHk Z9UBwu1tNfN/PzLhO/Y8AWYLBogOaSsfHWfCcOuBNwrHGBDNr5JCW8OM91/u MtprxYA1Ji1PHNcx49r+vRLVhF/EuTJeb2JGgSqNHh1rBjRJZX9w0SDq90a0 d9owQGDLf7z1pswooRVRLnOS6L+5mKd/ADP2uW4OeHmKAdfvLR6cGmVG9qO+ /nCWAQc20902TDLjjefr7qYQliy/EGU7x4xB85xji4SLvw03NbGz4B9K2M4i Fwb8XtuxP1uSBUW+dFWucWWA7dMCo1MHWPDEpfuVbeeJfu50O5tszoJKo9pi ChcY8K9BMeyDJQv2RgqX+BBOHE97t8uRBW/uHp6TcmdAy5ZoA6nrLLhPO9Tj hAcDtBku+9rzWPDlQlVyySViP/oKjoLFLHijLDaB3ZMB3Z0DgXqvWfDIwMis EWHPRcua/Hcs+KBCe7yb8HMw2BM1wII9Tx59nPRigPRbeV39FayowfkmgsOH AUytvVhymRU7WNLiq68QeR4qvX/5GitWZJ/dyXaVAdxMySxqgaz4LMjhMBKm bbSoLIhlxb0q7qOFhNcGNO/Jec6Kd3+/Lk6+xgB9jQrjB4OseJHt4aCJPwMa D6bmWI+xosWfosMBhA+d9qNITbGifKL8/peELWPVW5KY2RD2Z3yUucEAl/Fc s1hxNjwvsmQ9RPh2WpploAkbcrzvPnLyFgPEiq+90rMg7C6WE0n4bpOVJLs1 G4ZJVye9Ivzo7+rea2fZcEf5ek3RAAbQD8ec9A5kw42ejNwKwt28N8+4lLLh iYvZOtxBDPjP/ZSnqQI7bmQksx8KYcBG9Z5D9zazo9MsJJ4nrMJ0RGl4Ozu+ Ve4ciiK8K3Tf4JXd7Kj/xLjkPeET6YqmTyzZscIuVWtvKAPiPvxWYolgR2+z nxobwxiQnOjEaxTLjikq3VV7Cadb9w/GJ7GjWVyukB3h3NGPyRsz2NGu5Pfi HcKNbAxei3J21IgooLGGM4B925XvOZPseFV5LLeOMN/Cn4r5OXYM6R3O/UaY Vu6aosvEgUW+qn7zhKWNbM26+Djw8PFkz/URDNC0133D8R8HjmZf575J2D2W 997xIxx43mY709ZI4r9/Ot6c9xUHnuAwH3GOYsAD7a0XPr/hwD9PNDKuErYK a4zIqePAzFa+7TGEO+XYaw+1c2DEsPHbYsLNh85r3J3kQNEcw7fs0QwofWEo vVGBE9VbNyffJuzz97vm0mZObL5mmZROWG2fv0XzDk50oLe4FhDO72VEe+hy oreOaFob4SxBefZSa058GKiltOI2A+LPMg8bx3MiRUdNNYqwKeMuh0wKJ85r C366R5jGrio7mc6Jazt4Dz0jHH7XxTI+lxPNU7P66gjfqO9q7GngxN4vp86x xBDf4/WFea5sXKjHIuHqRFh/4IxvtBsXSlDiKfKxDNDzlX2q48mFe5qSnikT 3iXS3Tnjx4V+eW+2ahJW1zVSPRbKhd9UlKcOEFZ4qDQp+5gLnWJaTbwI89pP nS7o5sL5taF5VYS5/j6Nd+jjQtqGls5Gwmyx9m9XDnOhW5nF6CfCi5Vtsn5/ uNBRd7ZxiPCoHOOLHo0b1aL/xvPFEd/vfl/T9j3c2Bh+xd6YcI3Pdv9gY25s Fb2315xwpfD4C00zbqwfUVh5gnCJjrXgfVturLHQ8T9L+Gn6rjpHX268yGV6 JYRwmB0nLuRy4y9K/I5Kwsb9kRskJXmwTq0tZ308Md+G/g+WcjzIeiByrRJh gws7/JIUeHDcUCNChfBeli9NYjt48OP0Zy0gvEt6w0WhAzyoWE+jmRLeZln1 mus6D15LcUnyJpyfJnZmTyAPVundOXaV8JYRJ6Fb4TyY6L+BepPwpsu0U6xJ PFgu/tUynPC6BCvef3k8GObF7ZVKWPzDnNnkAA9qaQu3VxBOXG20pDzKg5Cx f+4t4ZUnUzNcf/PgrIIltZ6w6G+9hbF/PGg1sOu/VsIUSkzqjxW82FNaNvCN MKvhppHP+3ixTLW1nimBAcNvbK/WZPMin+/+jO2EpaLaz4Tn86I5WwGPOmHT E8Zmpi95UdlowG4n4dJZNYXeGl4ME1tg0iEcvZH64U8fL/rsNe48QFgjvkxe fhUfcpbzyToSdrXbRhuT5sOLj715nQk/Un6ymCvPh8Jx3aMuhCnv4pq1tvGh t2VeojvhfiYXb/MDfHhpl3P6FcKhZ8Tf37zFh72itb4xhMt3RDMMwvjQdDJ/ MY7wDBtXOjWGD2+sCve4Q9j63qRn8n0+LF65xyyFsMqHujUFJXw4ExHS+Jjw 551eF/t/8+F2o9gCBuFN1DaJ3Vb8GBVum9lBeDBs8HqsPT/ipy7rLsLJPH++ f3fiR5EIB+HPhPnYxHJDPfnRe6rzXC/ZvxkLvbYofty3ecvcIOGH3Z9dHCv5 0Urz8fFJwpYWP1tf1vGj5ubbnVOEhdv+qQo086OTipzpDOHr76VY8z7zo4Do 0Z1z5PorbOIXZ/ixL0Zg6B9h8YyBsoj1AmjgfjWL+w4DPsjNyH1TEsAvLYLT PIRD7nMEq2wXwINPn2ryEZ5PlDft2CWAkzvk3wgQbg9z/LHGUgDpwXXZQoRv XxijFIYLIFef9JI4YR6YtumeFMC2GxUlGwl7aq/jKpwXwIFYj9pNhAd3H3sW wSyIvHcSWpUIV+wtn98lKIhOxka9yoQvm4TdzlQg6s79XdsIj9ivrbpoI4hJ VF7rnYSPnj7idOC0IKobbdTTIlxzJoSqcE4QCzfTFIBw+rmJ4599BPHKV9UR JGzp9Wpmd4IgigWHHtIh/C7UbB31vSCaTX99rU9YPSKwcfijIMrR0m4aEM6I eule2S2IDfcu7zUkfCNOpvzSsCD+XLpWY0RYsmlGcZyFgmsv3Mg9QLito6LK TJKC7aEft5gT3jN29M8aMwq27GJasiKcIuzfeuUIBe8HXQy1Jjyl8SSn+xgF HacjxWwIpwYvOMTZUrD2WZmiLdlv+bvt3K4U5G+w1bUj/NT2M+NXMAUfdDxX P02YJZg9ziicgk2Di3mkj7zYeD4rioLB/WsUHQmzM/kp2CVQMECOZ+UZwieS JZM+PaSglXfagBNhSruVT+lrCq5i/2lwjvCppYAjqyspuHrPynzSJf89V/Gs puB/6rqrXQk7ejCNKTdSsJc3Y5B0Be3+8YddFDy375PbecLuRt+0Qmco6BVU f8yDzEeFHfNRRSquZL4VdpnwL+3OVb5KVPS3nPxAmrN8v0rqFipOzJet9ia8 vUzdYVCVii6HLj8mHfOS0nBel4qKVSFFPoT355ckhJygYtaC8ks/cr1bt+Q+ s6FiawNtjrRf7uP6ZjsqnuKw336F7Nfz6H8rnKjIH2SbQ5on+7Rd+iUq7vnR l3iV8NuHwptfRVLxRjbF4jrhL3LB+3pvU9Hq951w0tNpS7as8VSki2a8IS33 YDh2XzIV13cfVvQnfD3l9cLHTCp+Pys/S1or3rn6ZwUVX6jGX75JuCCw8oT0 NBUDIzcqB5J50q8XC5il4pHBfEvSiXwtLWMLVES+9wGkr0b26L1koaHfz7Ju 0oYJ85vMKTR8sOLFtSDC3x5vXgrZQEM1UwY9mPBHxx2M35tomCM7/Jl0zQat CxZbaFh7rJQlhHB2jsH3/9RoSFE0MyDtWXTqfbkeDbsPW7STFqi+e++PDQ2R I/1bKGHmoDSLE/Y03FF8iyWMzKd+llDVaRquYxJfQ7qjsSgg+hwN8wOtrUmn t7Wc2+hLQy9vmw7S6oNceDKBhtzWFa/CyffD7tHb2EjDru8LhyIJr5Kq/bTQ TEMz8XJH0o2qEu/XfaRhRYbJFdLbnateXe+iYVFadyZpjlaRpO0/aMi16s4i 6YephWYpzEL4YK/EnSgy78U8RvVsQqhm8e0Jab4PJ3RmOYWw7rRPKWl3Ts6t JgJC+ISxuY+0jsthCsdqIZSMeaAQTbhfY7burIoQujJ+viCdYGZYkbiDqA/L V5A2PJfKqFYXQp4x9RbS+Q/2ZshoC+HplPEJ0je479z8aCSE89J3lW6T+fik hjsdhFBqq2466ZPnvQv4EoWwYnbSPYbc35YvBeuThZBfpPwqaZ7fWKiXSoz/ 9EIo6eduHEVXHwnhAZngNNKLrlH0qVwhrHW/1kQ67tzjl931QpgkUbk2ljyP Sjwlc41CKMzKtJm05rhziWiLEK51k1Mn3eey5dWBdiF8lSFvTHqzy6vSyn4h DG8W9yBd69xa/vSvEDY6jJaSvqu4vaKWSRh3BFVXk3YdTagYZBXGCbXwJtKi zifeSPMIIxdvz1fStk5DlTGiwnir6DZrHLlex6VqHyVh/Bp/YTdpJYcNjYY2 wqg46lBI+ouj1LlsO2Es3Hn/FelQZyGKwGlhvPmuppL0kNvCwfcuxPyb+lpI p/nUfzzoI4x5n/b+JL0i2umzebwwOrvNyMST5zfGyq8oURg5OOXWkXaPPyQl liKMYzy7NpFuvqth05EujH1D+9VJhzzmHTiWK4yanYUHSS+VPBm1biD2s7XJ l/Szsnth5U3CKCch4k/asuL2pjUfhDHmkWEgaUa1t2tfpzCqucdEk77QYjBl /0MYr+0PfUT6+/eRhTOsIih+WOUd6fc0RV4PNRFc0JMQTCDHr35WXQEieEAf REmH+yjfoOiJoGseSJA2HNz+94mJCG61+aJAuo6hPf7NSQTpzQ91SGe5VD7Z fF4EzbMa9EkHye457ecpgmw7Ow6Q3htm+HXlTRF8oZ5iSbrK+nDrgRQRnDYY O086XaQzIiVdBDXtwJP0jTpLw9EsEaS0X/IlvUvFtiqgSASPfUsOIP2a82xR aZMIrpx4l0j65bPrSYqsohjorvCK9HfZhrg2iigOv82sIi10Z0X0VUlRVFbp bCDt5P808IOaKIZan/xMOn52xt9vjyhuTH3bT/rNWe0r68xEke4/OkJ69ZE2 Dx9XUeTeaj9Hek+DtNt/fqLYN/dyifSFXU7OTSGieDaqhf0O4XpFppNyj0VR 8+0+KmlvZoUD7z6L4sUDWWtJvxNXiUidFUVpvthNpCVVtRrdhVaghfjX7aRd D+3l37dpBY5PBmmRrnAxMZTYtwJd2OJ1SQsHW4ZMnFyB1zSEDUmfeniqrspv Bbbe4jchzdN9ea9L/gocoKRbki4Pt0u6PLgCvVs32pP21Db+eUtMDH3NMp1J b5raoX1bXwznx8QukB54JBNzz0cMJ+76eJIucZAwVBwSw8GgoGukY9atZGOY rUQt7t8BpKO/ltnzv1yJv80MQklHJp6qtpFehREyoRGkPVZ80y/yX4U5Jn+j SB+NOd7I930Vqit8uk0605nZrs1kNapnHo8lPavzcO5e6Wrs6bkcR9pFZEpV WVYc5xN2x5PuG9jlWREgjho2n5ZdQS2urZ4Sxz41Im6EH+xUXt1gI4Hlpx8v O8PmkGhitQTaNvYvO/umB9VhoyRy24vcIR1gdtKAdVoSZyU9lv0l4fplXRsp FH/4cNnbuu9nBjRI4dvQpmV38G4v37tSGk8YTiw7YX1SdoOBNO78zpVIms9D OC30ujQ+rhZZ9pXXYQkGDGl0GqQte/DshCTvuDS6q/5bft5otdnDOjkZPPuy b9nVOuFMP81l8PJ0y7K1XaqPUYNkkCFWvWzXKuHXLmUymJRSsux74rZy76Zl kE/rxbK/jd84HrZuDTqUPli23JvHccbH1uDvpLBlH53Nt6aErcHxK27LjtxY odBSuga1So4t2zuy72/D1Bq8ftZo2acm2ZprFWRx1k9v2XYtC57rj8tiX5zO sm1f/JYOipDFXRK6/x+vhS+ssloWT2/7//2lk//NLS3J4jP8f/1/ScxXdQ== "]]}, Annotation[#, "Charting`Private`Tag$16478#3"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 10}, {0., 0.4999945396848736}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.676834431383214*^9, 3.676834466186804*^9}, { 3.67683451490733*^9, 3.676834522213119*^9}, 3.676834847927932*^9, 3.676838170765526*^9, {3.676839901108862*^9, 3.676839941185751*^9}, 3.676839972042211*^9, 3.676841879581751*^9, 3.676841927922388*^9, 3.676842007813581*^9, {3.676842108215199*^9, 3.676842128933477*^9}, { 3.676842168836042*^9, 3.6768422136719*^9}, 3.676842266295211*^9, { 3.67684233615812*^9, 3.676842361249408*^9}, 3.676860219289192*^9, 3.67686073134385*^9, 3.676861161515582*^9, 3.6769416723833857`*^9, 3.676941786504388*^9, 3.6769430834275703`*^9, 3.67694357644493*^9, 3.676943955875613*^9, 3.676944054150393*^9, 3.676944090977311*^9, 3.6770882883265123`*^9, 3.677182172283051*^9, 3.6771825834909973`*^9, 3.6771874410918283`*^9, 3.6772016333925*^9, 3.6772038445983067`*^9, 3.677207283396874*^9, 3.677463453487028*^9, 3.677768792367957*^9, { 3.677770451594849*^9, 3.677770478456231*^9}, 3.7933222097749023`*^9, { 3.7938514920795517`*^9, 3.793851501502913*^9}, 3.823227642755632*^9, 3.876788958689207*^9, 3.876789191002507*^9, 3.8767893590080433`*^9, 3.8767894214648857`*^9}, CellLabel->"Out[50]=",ExpressionUUID->"2df60ca6-ed07-469b-a695-8f80d19aa823"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"{", RowBox[{"SG3", ",", RowBox[{"Limit", "[", RowBox[{"SG3", ",", RowBox[{"s", "\[Rule]", "0"}]}], "]"}]}], "}"}], " ", RowBox[{"(*", " ", RowBox[{ RowBox[{"SG3", RowBox[{"(", "0", ")"}], " ", "gives", " ", "the", " ", "step", " ", "response", " ", "for", " ", "t"}], "\[Rule]", "\[Infinity]"}], " ", "*)"}]}]], "Input", CellChangeTimes->{{3.6768345577210293`*^9, 3.67683465372572*^9}}, CellLabel->"In[51]:=",ExpressionUUID->"0a3dff5b-38b5-4321-857d-29033526d0b3"], Cell[BoxData[ RowBox[{"{", RowBox[{ FractionBox["1", RowBox[{"1", "+", "Kp", "+", RowBox[{"Kd", " ", "s"}], "+", SuperscriptBox["s", "2"]}]], ",", FractionBox["1", RowBox[{"1", "+", "Kp"}]]}], "}"}]], "Output", CellChangeTimes->{ 3.676834654263092*^9, 3.676834847987586*^9, 3.6768381708283253`*^9, 3.676841879602406*^9, 3.67684192795269*^9, 3.67684200785067*^9, { 3.6768421082683907`*^9, 3.6768421289629507`*^9}, {3.6768421688935823`*^9, 3.67684221369132*^9}, 3.6768422663161697`*^9, {3.676842336196125*^9, 3.676842361299477*^9}, 3.676860219324469*^9, 3.676860731398468*^9, 3.67686116155581*^9, 3.676941672441785*^9, 3.6769417865580587`*^9, 3.676943083481735*^9, 3.676943576496855*^9, 3.676943955948653*^9, 3.676944054211217*^9, 3.676944091033308*^9, 3.6770882883945713`*^9, 3.6771821723284903`*^9, 3.677182583533454*^9, 3.6771874411291323`*^9, 3.677201633522923*^9, 3.6772038446521463`*^9, 3.677207283479349*^9, 3.677463453548955*^9, 3.677768792412163*^9, {3.6777704516336308`*^9, 3.677770478487328*^9}, 3.793322209817416*^9, {3.793851492094008*^9, 3.793851501518018*^9}, 3.823227642775813*^9, 3.8767891910179863`*^9, 3.8767893590333443`*^9, 3.876789421487208*^9}, CellLabel->"Out[51]=",ExpressionUUID->"0600fc43-bdbb-41b5-bb4c-eb3dc411c526"] }, Open ]], Cell[BoxData[ RowBox[{"(*", " ", RowBox[{"ysol", "=", RowBox[{ RowBox[{ RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG3tf", "/.", RowBox[{"Kd", "\[Rule]", RowBox[{"2", SqrtBox[ RowBox[{"Kp", "+", "1"}]]}]}]}], ",", "step", ",", "t"}], "]"}], "//", "FullSimplify"}], "//", "TraditionalForm"}]}], " ", "*)"}]], "Input", CellChangeTimes->{{3.6768347002313004`*^9, 3.6768347363389397`*^9}, { 3.6768348133039513`*^9, 3.676834867528852*^9}, {3.676838526711197*^9, 3.676838528188023*^9}, {3.6768420831549892`*^9, 3.676842085514434*^9}, 3.677203827123999*^9, 3.8767893161119556`*^9}, CellLabel->"In[52]:=",ExpressionUUID->"c58ab069-c802-42ea-bf4d-1de12325070a"], Cell["PID control: needed to reject a step disturbance", "Text", CellChangeTimes->{{3.676256123319852*^9, 3.6762561340117064`*^9}, { 3.676256527464588*^9, 3.676256537807025*^9}, {3.676390134403613*^9, 3.676390134811151*^9}, {3.676432290911524*^9, 3.676432291046063*^9}, { 3.676518622684082*^9, 3.67651863874605*^9}}, FontSize->16, Background->GrayLevel[ 0.85],ExpressionUUID->"197597c9-a571-4b57-bb78-0dea02458217"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"K4", "=", RowBox[{"Kp", "+", FractionBox["Ki", "s"], "+", RowBox[{"Kd", " ", "s"}]}]}], ";", " ", RowBox[{"SG4", "=", RowBox[{"Together", "[", FractionBox["G", RowBox[{"1", "+", RowBox[{"K4", " ", "G"}]}]], "]"}]}], ";", " ", RowBox[{"SG4tf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"SG4", ",", "s"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"negT4", "=", RowBox[{"Together", "[", FractionBox[ RowBox[{ RowBox[{"-", "K4"}], " ", "G"}], RowBox[{"1", "+", RowBox[{"K4", " ", "G"}]}]], "]"}]}], ";", " ", RowBox[{"negT4tf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"negT4", ",", "s"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{" ", RowBox[{ RowBox[{"y4a", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG4tf", "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], ",", "step", ",", "trange"}], "]"}]}], ";"}]}], "\[IndentingNewLine]", RowBox[{" ", RowBox[{ RowBox[{"y4b", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG4tf", "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], ",", "d", ",", "trange"}], "]"}]}], " ", ";"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"p4a", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"y4a", ",", "y4b", ",", "y0"}], "}"}], ",", "trange", ",", RowBox[{"PlotRange", "->", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "1"}], "}"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"u4a", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT4tf", "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], ",", "step", ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"u4b", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT4tf", "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], ",", "d", ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"p4b", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"u4a", ",", "u4b"}], "}"}], ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{"GraphicsRow", "[", RowBox[{ RowBox[{"{", RowBox[{"p4a", ",", " ", "p4b"}], "}"}], ",", RowBox[{"ImageSize", "\[Rule]", "Large"}]}], "]"}]}], "Input", CellChangeTimes->{{3.676600980477118*^9, 3.676601098953053*^9}, { 3.676601138077429*^9, 3.6766011507698803`*^9}, {3.676601204540559*^9, 3.676601215762928*^9}, {3.676602735926928*^9, 3.6766029020607224`*^9}, { 3.676603000393454*^9, 3.676603139616612*^9}, {3.676603573209407*^9, 3.676603614718348*^9}, {3.676605585214613*^9, 3.676605648091826*^9}, { 3.677182474865823*^9, 3.677182496713669*^9}, {3.6772038290133953`*^9, 3.67720383027645*^9}, {3.8767889646272583`*^9, 3.876788999312047*^9}}, CellLabel->"In[53]:=",ExpressionUUID->"ecfc144e-c5e3-4ede-89c5-c1dfdc484bde"], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVl3c8lt8bx+3svefDIzJShFDd1zGLUESLyMhKyq6QQghllFnKzMh6RGZW ZI/wRUbD3nuP/J7fP/f9er/OeZ1zX5/rc13n3MKW9w3vkJGQkDwlPv7/Tnxi SSVrHYqRkDgu+9icPlffg9O9hrMHsTKxNeWkHuzwe5U/DvcImEdma3p91jDG qC8FtAN+UHnq2KZ+CyUk1rwUosS9AK8BmqBFYAPpJetXh7bhUCGMykrGBWCE 8f2//f4o4I+6d0bJ+iiIfqRR3N2LBtrlAjP6ZWlwPOd+b0soHvKbpU9qNsnB 594/aevq78CoRemZStJp2L2rO7xi+wHihqMDzh+chSTS4RdbmslQlqvmYOuk ChrtkUc3+1Ogu0ztr8h7DZiOO1+7bp8GlosHobH0FyDM+sB0bS8d2lW3FwNL L0LPnt2bZaEsCBq20Vv9awAejYInlwjZUJLpu+7BbAS8r3tbF9RzIPnLc5vL JlfBUhKRz9nmw93b529nqpsA2d7jznXvAoh1sP9N9ucW9P4xFljXJEDr9Byj /MXb8DCHrmy1vxAkIynpQsStQCdqkmo16TM4KRwxxmVaA//DWqMV+yJYZKtw S5e3gRp1z+WlvWIwjfINdntgD0eGRsUXhMqIce1bbSs8gIGar+7z02UQ7T4+ aCPiDNkf477NEcqhWuM4ZSubC+i76JvPqlcCwVuS+x+FG8TQlMdM2VaDRQLN 926Bh8D6rolspb8OIhKGpC4EP4U9xi9ZD85+g79eAgM+Qs9g/Fnq5eWkb9DJ mjVgWPoMvtg+eb9kXw+nTofqZC/6wc1T8iqLew3gSvmgsMrxOSS3fHCeE2qG F7x/VQvTQmA9rljyd1gzWAwbRO6ahYKWbetY904zdDeG7d7kDYN58i3j8p4W yOdtCpd98xKUzumrvAhqA0basmF37Qjoyt8nE1/qhCqJqPfmN16Db4u0jqx5 D1T+qxI6+jYeMgklYp+ie+DLncfpIYfx0B2nRn60rQf4Ze7X/rVKAFHb65Xc yr3gm7+efFX6LbSQB8iQsP0HznT/9Lcr3gHnuSHWzu99UFCt56fc8wHy8l8M OcoMgi95bQuaSoFZ1tkwHYtBaDx6YiiKNRXEPXSwY28GwYMkd630XCoknaVL HtsZhI5EYcEnr1MhqjnM5mbDELh8m1QcPJsGHmPhK+dNR6Blg59XJzAdPtC1 +rNo/gFIdS3hW84A7JyX6VOzP2DkgJNpZM+EYScphSXPP7BY931CQTkTuLtD J9uy/4B1/8GkybNMiIzT1Q5m/gv8RpSDtYxZ4H+0g/Fw6C+oRaiTfhHIBlv4 ET/vMgYKZyq+rtLmAEnKZvlQ6BhIMAU5UonnQBwF/3BL2hgc/dumO6iWA03N NoJZfWNQ0xHuVfcoB44Z7afcURkHwQPXwNfjOTBtJ57zi3QCvkZmDMvl5cLT Vt32dt4JUJIoXtD6ngvcMi6LlacmYHQ2W5bvVy5cWKs8+fbOBAietA+kYMiD LB/D4mvNExAQP905ZJsHDlE+VV0Rk6Bc9tEmmyUfyDZSfldnTUJSvyVr89F8 SLjWRJJfNwlTYyKKWcr50MLPpv5yfRJMhZnM827ng1RGZqP29SmgzFcJ7vyU D/U0HdNKzlPgXVGqefA1H0wd12iOhUyBo+PevYXOfAiTxXSpKqeAG/E/41jL h/mKnq46oWnIhrlUDb4CCBDcWSEoTUNzmYiBLb4A+J8JsiUbTEPTltzAXakC 0NWyN/b1n4Zbz91beM8UQG7Xv59npqbhy+WsRNYbBeA0ITFWlDcD7/7OuvuE F8Afs5/Utc0zMCnm5HwppgCuDATLtI/PwH0fa8LhuwJQap16NME7C3ZVTM/3 sgqAnJDOzBk0C2KyYses6wrAQ9JYUSRlFt4kH1mXaiqA6VQKU5mvsxA7JsbS 014AHTFWGVprs7B+vay9eqAA4ryFMU/zObjpG36fa6EAaDe7rPwfz8Ge9dsf IysF4HP/6Yvw6Dkomk3ND9gsAEvL370ZrXMgQ2Lu4XZYAL1Dr3Y/T85BV9rd 7K/kBDhvjOFqSOdBl01iZeoIAaQvJN4dOD0Prz0d9P4wEeB9rW7kuOE8uG9c yMtjIwDLmf0vy/fm4bS5epkZFwE2j5uQ0aTNw6thaydrQQLUsvHEKzMvgH9q Zw2tFAHkXzZVaUotQMARqeHZ4wT4SPVw3EBrAdTJ0sdzTxIgbKfvhIP3Apyv jTUbUSDAP5dAY4/YBThJPYrTUSKA87yCl1/hAuDmFpwTVAhw9feb7wnTC2Ae smAxiRGg6brG/EfyRTBsLjQYRQQ4073G8llwEaKzhp3r1AiQdzH1dLXyIjya 75kN1CAArsHwVqvRIgRGrU6c0CJAFEbm339/kXge1L/8ep4AlKWEzLGQRaiK 36E7qU2A2Wzm9b2aRYjhvCBXf5EApqI1PNTDi3CQ9vX4pC4BOhPvA/vWItDk X/q4oEcANS6hOzjWJXhsn9MwqE+AooiOEOnjS8BE41ece4kA4rRPCpQuLEFw 3ZMPNpcJkOB/vE/DaglSWi7nUhoQgP5geO/ykyUQuvqROpTIvh5hwrfil6Ay /vjQJpFXl86cty9aAuWWN/rahgSwtp9zdO9cgqv8IWF+RO4fTYh6NrsEXfUV VSlEPipzdPg72TLYb/czZhP51+z+oi7zMozMhX2MI3JcRi9pj8AyOF+ay3ci soF1DvsNqWVAfZ3G0kSmFQ4Q/620DII5C7U/iPs3nY088URzGRRcHP1tiRx4 /f1pAcNlENm66jxNjEfD7RNUmi1DaodvrhGRySJKz5vcXYZHYWU3cojx13xq uLTruQwW9X2xS0R9njR2X4sPWAY+2uwXgkQ+O/bbXClyGe6sUBooE/Xc/Tdv 25+4DP8YvjIhot6lvLv3PbKXIX0teUqOmA8PxSMPOUqWgVsxaJdFh6jPPeHg K13LcBuXeD2amM+CFzIRq8PLQFhymVIm5tsp/Uxc5MwytDq8Vmol+mFu2Diz k2wFDD7/yyxSJUD2tmWBE9MKvAnfp2Mg+smO/UEpA/8KqJynLTMk+m38YkjT RYUVYOebdv9I9GOKbWzXrOoKmITFNRYR/XrbP23ghf4KREeYTxUoEmC4vGq6 0XYFqPZX2F3liPnua122cVuBS6WJ1spE/19fHdimfLYCBQQc1SKxPnol1qg1 ElZgmPJenYgEAdrixCVq2lbgz6BV+VdifYUUycua/1yBCTHGU7t8BLjQpar8 b2IFLlKwUIrxEKD+iKn22cMVuCXwV0mXWK+VHhH2pbKrcEr3pnMfFQEeRyU6 X8NWoZLkjEYksf6V8rIfbeqswsFggPNZEqJfJ+pfyFuvAmMS/ob1DrH/Ge1k FcSsgkmTSvvBbAE4PqAqvJS6Ci+oWMexqQKQDGMrX8xfBfWslcvOYwXw8dvx FunmVWiqiM/OHiqA93KWs5l7q5CPnetwaS2AV8ytksm318DoMW2Za2YBlJ0W KNZ3WgPatkgz99QCGDe7D/tea3BSV5jG7n0BnMllM7oWuwYiz4fJhd8Q+6O2 qQ9DxxqQxd7KnXhSAOr+C52PzqyDyDRyHjQogO0NJndDzg0YK//a1D2cD3gB y8ND/AbwIcfvqcTzQV+j6EWu7Aa89X6RZF6XD+lR199T622AoFfHTFxGPhie SG6s8t+Av1IlHdzO+ZBrJ8crtbIB7jt2Xc9J8sFyyKiavG0T3nurQjVrHtC+ /XvP+ecmLHTrZ34iz4PCm078vyc3YUhDaitkPRfIB4MelZNuQd2vWHp8Xy6k DZSfcj69BR7+n5yr4nJh8j9c5q+ULbh2lYeknS8XHLrmI8oebcMdCour8bw5 4NwQYHlffBe4lxN+3KLIBsID+ivc2gdQ2r7B0sfwEZK97s6evEaClDM7/x3b Sga/D/sG6/OkaElvgeM/rkS4fLLUWWqNFNE9bnzU++8dCNa6RlrukKKHPzed RifeQfnobFcXJRkyiKjikSx6B6tHf17KFSRDOg96Gu0M3oFlTrGezWUy1BYq dO7jq7egWuakPfCZDLn/GttXYE8Akp4/qPIxOapi1u0avxgLATNVyY+fkaOx 3/PyTfKxQEOSSKYcTI52X/wh/SoQC6zHb9QXR5MjW/KFtsGlGDga9ON8fgE5 0rhg3DH5JgZ0ztTpp0ySo+YEGf9zo9HwOjXVNNiQApHPTsq3vXgDYm42D40k KRH95OGWKV0UHFf5feXDSUrE5s2wULETCfIk10/MKlKipRG91WPTkaAWpj3p q06JhuR/cR5viASzNGmjT6aUyMfHV3LENxJieldPkIVTotGzkfb9WxFAqeA7 lb9GiY7I3VlnGQ+H8Y3Yq3RfqRATLohlmi8MUlRPuY58o0Ja7h63JvZDwfxl R3h+CxUivWr863AkFAZFKZuvDFAh3ne5imFJofDjisuZd2tUaNre5AKJeChU EXRxxyWPoFLVnHFN5RCIvUc6qx97BKm0k9XXuwSDUdk7KuH3R9BBCeWBxrVg YKVUwq+lHUGfk4x4/pwJhlfvnExjC4+gmqePC2wogyGgdajjd/sR9J7eSvtz fBA8kPjy+QEFNWodDs1SbgwEnQkHnyhnasRs58DmqfActHzwORoPqVHFVF1S ksBzUOMYHtx8Qo3uebP0/KV8DiqaekomYdRotMP0d3ZfAEimn1jDZ1Cj8+vk acaPAoDuzrpd8TA1Io+buPKvzh/axn2MBs7TIMtjX3HCtn7Q5K3oH6JPg6gq i48IGPpBPfsS4awxDVI422ouc474n6hxmynZkgYhgq5QJJsf5KSptdj70CDb 0xmHRrXP4KX1EbRXSIMG/mXeacQ9A/3xCClBQVp0JyU1rhref9qkxntNRWmR okR3ml6FL1x0Pf3krSQtguVjNw7ifOEC2a8u7tO0aCrk+/FaI19Qw0l5sF2m Rc5FSzn97U9AwbShhtqPFrFP28pLfPcB/t4d47UJWlSrf3sto8MLEvj0DmXn aRGTuS/D6QIv4LFKynywSovKHiY8G4/0As5Vrb2Ff7SI8bgfU4KxFzAzv0ma 5qJDuqSJ046/HgO5rszciDYdMgxzKXu78Qhmv1k+bcqlQ65liRNuyg9BKHLA 4VURHTKO3Dcw4X8IRmb6xkYVdKjVwa/f4tATqraVJf800aGfI/8KOxo8Ieo4 S+/WGHH98Xf6okaecCa2Wlyclx55YwLn0jw8IMyBv/N5IJFz2DKlut2g9nRU 2cWX9Khiwix3qNQNNimo01je0COmrHOSmR/c4PaHtYeJyfRoxOkFb8w9N5Dv bREprqRHF27h6+to3WDk3COP8VV6JLP1iaCl4woyLH0C6uYMSOZWzJTKiDNM vpz0i77DgMq1T6aWNzlDIu3W1NRdBkTSMqF5ucgZ6Cm4C8MeMiD8tcuLlaHO MLt5Q6svkgExmo2ExJ9xhvThESf7egakvpy2rPfhAfBnTlSHSzCi5d7OIIl5 J+gV3RQdPcGI3q9Xrl9pcoLQZKoQeUVGND1Ur5Ke5gS7CeJGP9UY0U0bruqK W04w8NJ+WsSUEf2SsUst+nEPXrsuMH95xYji8qryi2scgRY2LIbXGFGPyMXE tTIHeKh6jPrLLiMqsbo4zxnnAJPqJnnhpEyIx6ztuaWHA9RdqN1VY2JCMw0e q86nHOCx4cvXWZJMqPTSI4l7+fYwd+dog4cFEyKpfPO9IM8O2sKMj7F0MqGv HrinOs02oBIe3DH7HxO6xiXaIpZjA5mRFW71w0xI9hKpvFi4DQTECNd6zjKh stj4/14a24Bg16b0EhkzIiu9fWV/7A70/axrMBZkRkVv1AwVj9yB8ws3t0SM mRFWKnRUyMYK3rP79/heZ0Z9c7piL/WsYP3Mp/xhE2ZUnbXynlvBCpJC9mxj LJlRW0qiYxCFFeyKvxugecCMkrY+zdekWUKO5UjZcggzyh/XOwietQDmAXPv qhpm9CRxgysh5DbYHAZd56tnRiLtpCe93G9DpViB/MNGZnTQzrjofvs22LuT LMh2MCPTB/fHShRvQx1r8q30IWakNnm5rbfJHNz0RrGwTWa05D6V9jfYDAbq rElvSrMgnxBJ/mhpU1hWHeT1OcGCHnNKBtXRmsKR2kvySXIsqIrK7AvnjAko VqvYTiqxIILJ1he5jybwpoK53UWTBX1oP4iVFzGBS0WVcaFmLAgUcUsqwjfh ezr7ya8RLEj3T6eCusp1+CUaov3nNQsiOXhLtsd/HTZSDy3JY1nQYGdwTu/h NRBNmY3WTmRBCuw3yBcaroHf+5q9/7JYUMseR0nulWuAxTo2LtaxoEsy/7Ff dr8KxcH1ZrgNFiT/SCFBtMsIMnVauYO2WZCbjoXw5yIjSKDv7l7YY0E/6n6a WccbwdOI31oVZKzIgBe7LmNlBLpxuzJXmVlRhW9hg8n2FRjNOHkYKsWKnEyi xXeOXQHGxncftixY0erH4gXJFAMgfZF6w+wOK5rNaFP9FmIA6zrZbA12rMgN zLweuRrAz46SoKj7rOid6DwzaBpAWl/3/eM+rOiObfiY5OxlUJmkRlZxrEjt xwCHjfJlsKF0/9PRwYquyHCUzgzoAa9Qc//eD1akeSrgef5nPehQEug89h9x vrIGZ8orPVB0bPjqN8SKAuzFK+k19YCqh+Ot4jQrUlAPLVz9rAvpSV+M35Oy oWa+y6x98Rdh/Mx2yz15NrRX+5w5OUAb4ox16xJOs6FgMfOfH6y1Qfd+Ulmj Chuy4lgybdDQhqKUC5nCqmxo1lB9zp9SGwJo4p//p8eGEl7LBbYEXwDRfmV0 zpYNmZv11VyPOQ9WLl7F9Als6GLAs48GbZqgKPerWCKRDekuzTeYEzSBdhV9 0UpiQ0LPu2hexWhCgTNVydOPbIiHTMlTx0IT9h9Elq4XsiGxTUY52NaAmPsZ FcOtbKjJidVtV0oDmh17anMO2NDpcf7Qliw1eCetWNdMwo48vsW4vY1Sgwfz cXWT5OxI68p5jWAvNeB0NPuGo2VH7sYBjMV6amB5d6b+DSc7snrd++ramirs 2x82ep9gRy/ItSLS1FXhhK1Uh64FO9rNonIVXwL4ZS90P9eaHeVqW+3MfQMI c2RjZrRjR5l1FNdn4gBmnPcMOp3YkakDu+dLdYBU79b/DLzZUX7JDSnXtxhw Rd0duRrLjj7+40pwMT4Hh5Wf5m+3s6OrXB6Nd5dVIK/6w8vaLnb0T1tNq75V BUzrXsuI9LIjzSna63oZKlDW6PVgbJAdvd5vVVs2UwHX7ovrd6bZUVZnRpxL lzJMTc3tOZBzIBWyOEv5SiXoZJWmc1fmQMWkx+woixUBu3dv5u1ZDqS5cXee Pk4R8hrzGuuAA930jb+m5KUIr7xlA5i1OBD36wzNXVVF0J1UPPhkyIHuml5U EPuhAC1lqkujdznQ18hX1Psb8tBw+1rP5fccKMR6Pjfs+imQr4gjeCZzIPzJ zH/1cArSOAbD36dxoBTnQz1+8VMQ0GKqO5/Nga5GeVwU35QDNXnLhqASDiS4 qOaRHS0HNUfulVR1cSBfSVlZ9UFZqMjzeytNzonIBvCuXx6eBCpdY95YKk7k dkoOV2NxEgxmxONJaTnRgUk05YzOSZjCt8f0MXMi4Nr4HStwEtjiuaKeCnKi EzF5aq3BJ+Cuf05wrzInGo0TjIQTMsB3vc/d+wEn8iIcfUCRIQU2G5nrk66c qPt5kqbBUykgRHm5GnhyIl28+0b3DSk4345zFnvCiYKqLQiuDFLgqnbXsSuU E538WKco4ikJrdIkVqIZnCgwc+fq+hUJ8CKVvNw2wolCeTCT77LiMKlBNyD2 lxNRN7seaWARh8vB8+bPxjmRRfTLf4srYiDKlH9fcY4TlY+Fzn8rFIM2fvnw pG1OdGslKPmuohgIKmEdbmxcaDhFBHumeRTqnAx1BbS5kKjhz9Uzz/AgXXiq 11OXC11cXXA8bYOHmA120+5LXGiTXdb22kU83PXuvxt0lQtVJM/LUHDigT3E NHTFigu95R7Ro88VAZt0m5aGJ1yI17PhV8FfYaAdfnzBqYgLOfR82+CzxoGi ZxZDeAkXUrv9eW5QHwcWrAPd+eVcqKV9ZbFIGQelFxRurdRwoduaRRFlTDiw KV5ydmvnQndIfX6QPRaC2lfWbx9PciGXpa+6P5UEiee5/mIgNzcq9C4aeT3E B2nD3p8z+LiRd0//pyslfNDp+elhkyA3mgxmrVV9zQdiedTktEe5EcOxjamM i3zQw/uN66UsN7o8/lQ5pooXZNZPq77W4UaHJeDdmsMDEx+F33zw5kbPpxso BLK4YD7g7w75U27EKBG4khLEBauWyeZ2/tyInOum3jUbLiAREpaSDeFGOnJ5 53REuYA3FldXF8uNns4IORukcMLlIKHliUJuJGPNvP/pIwdU2groSs9wowN1 i26uTjb4pjlCiJjnRmj+hNlWIRu04BO5Npa4UV71/XP/Ytig/zf/2NdNbkSr USryzJwNVq/xP75EwYPuaqVUG6+ywrELfJkuQjzI8HLgPp0QK7w5xkNRZsyD Ru6+uaLymhlMzcQyxq7zoC8cfrsyPswg+uaUDqMpD2J20ddDtsxQdKgXYWXJ g+KbLd1KzzBDb58fP+N9HqSlf9x1s5UJ2J7Py1sF86BgB2FDU19GiPpbfYeh ggdltG98b2Wgh5tc7dRKVTyo7z/qA4tpOhDRG/xkWcuDlkp+2El8o4PC0vWV kkYe5MutMaLziA66wyWeWPbyIHPCON+PKVpgwV7HlCzwIG+3P6SF7TQQkWDT aIHjRR2mZz5QVRwBTw8/V288L1J9q4am3x4BM8P3QrFivAhLp/m34n0EpGn7 PNukeRH3+mkOHzgCzY80j51W5kW8thWxjt+pgOyG6At6Q16kthLGGzxECe5c ozol/ryonO6/pw7CFGC6drD5I5AX7XlVGW1QUYBGJ0/q/Ate9POR04OUeXJg DTLYE47gRb2bfvWWpeSQt1nzKewdLzL/jW/wMCCH6f8+0FsW8yL3Mjfjby/I 4OabWx30U7zo9oNxmSYWUuD/TMt3d5YXWQh1SJnvkMDvHyW2zQvE8RaS19x/ ScCaiZU0cJ0XVfYMzK8UkIBTyPdTh6R86Nvio0llQxLwe3oifoWfD5mdsb6z pHCIZTmSWvcZ8qHTSqzOf4P2McfQvAL5q3wob/zoyX2zfUwm2+Qg6gYf+uxz /uVlxX2scKo45tJtPtS1NlaeNrGHVVo6NDfd40NSNh1sK1p7WNf1HpmKYD4k 4P9lu49tF9vWSN/5UMWHvGvMfMn+28K8Kz7419fyIfUYr0+0xVsYiVwCw0w9 H2IMHFU/F72FHREKF5Zr5UOl5lS/cFe3MM6dh9r1/XwIlz/3ZejnJnYqVzd+ epm4n9nNjaXpDcyJY11JFs+PesY7PVhF17HV0MU6YzF+NLe7u3RAvY65k83o PpYgjjdySzAsrmHeSyO3v53gR7zSBIWY0jUstLkx2PgsP+rP2pDVv7SGZfq8 HXhkzI8me374y/qvYmMTag/rgvhRYf7Oeir5Cqb2oSNFMpQffQ+aNGmdXcaS rt9sj3rFjx6RHsvj7F7GzFqdRayi+dFAWL8qd/IyNliQ1Eaeyo/Oz56wrEXL WLfXP5xmFT8Km9n5sUu/hNWxlDc3rvOjgsBKFQejeUy4VXP9xDY/8T7UubEg OY89DfghGLfHjwz4fN7mks5j2Na0qx2ZAFIKa3D9nT+HlQ9zCdIwC6BI/Mwa BdMcVpjh7qIjJYBiGG6wsA/MYCnnZPnaLQTQke2WEonXU1idPq3/nrUAYv/w q/GXyxQ2aj42K2EngLrYDr9WG05heL/o8kAnAaR4KdSSgm0KS/u+cwN5CaDr jj0lkdGTWPqlurjPbwSQxCmFuecpE1imxRXOhEYBdG/zOaPI4BjW5CL9pKlF AFm8j9obrhrDpv0pJzfbBdD7mHdllalj2LGPJcVXegXQzSrmg5l7Y1jWLJ8x w18B9Kn/yvIm+RiW7Tr++umuAPKMYz8sUhzFcp+7s9geF0RVQXuu0cV/sPmz t/yenxRE9EqdnrQf/mDS6xprqacEkTgjd2li8B8s25L9vz/Kgsja7aquoOkf LBM+x93UEkScoqnX/Cn+YGk7y0L65oLIuL9R3rX4F5Zwz1FGIVIQ/Zz2z/c8 PYwNihp9uPJGEHltGp4wYhnGeIbPMLvECqKI/j/0VnNDWJwO3WpeoiAaTOtJ 5EwawqLFs4uPZQsiRqOS9na6ISzi79RZ/m+C6E2aqv61+Z9YkLHVRfINQcQ/ TqN3tasfS7k0bHpnWxAt2f6iuZHbj1VqGzs17gkit6SS369C+rHVc+cjQ8mE 0LNTXuVRmv2YqZhUPxuzEFr+Z2K39rUPk9tatRSVEkKLLMcDB0v+w37F+T3W tBBCBpZGnfodPdhO1F5ohrUQ2n+sIChF6MHYX7ol0tgJIWP7Ux9l3/Rg2s9s atqdhNDZ1mDNyps9WJG9DtVVbyEUV5N3UD3TjYWosEbZxAohf8ko8gtM3ZjC cHJWULsQEr9vvMjh2YUxy9ht53cJIerb9JN2t7uweV+Z8wM9QmhGLnhqULsL S8NXjB8bFEJRvo/t+QS6MPa7vUItk0R225NgD+nEdr3JL1KR4NDh93Ndm/Id 2E86xdoLPDiktZDQL1vcin2Xj58e5sUhU4HRPpLwVqzo1j6TMz8OvRV0paCw b8Ui8uvM4oVw6GlMS266QCt24cql/ZmjOORpWxKh96IFK02wOx0qR+TZJsNZ +2YsTuJtbvtFHCKN3sM/1G/E1te00v31cIjfMHomSqoRu1S1+k75Eg7hTno/ /kvdiFFd0QlLN8QhSq3Vae7675i7946Dzw0c+pr43Wrm7HfMsPPaseO2OMQm pCXVe7oBo3dnTw3zwyEzT4OeucvfMDuoSVALwBH7y5HSnVPfsG80jlHbz3HI 4StLlRzXN+zx+2/PrF/g0LbjJPfRX3XYTKPL7bMROHSuvteN3KkO+877Q2A+ EYeC3PeEHKJrMd+al3EXy3CoJpHjFitpDTY7UvNmpxyHjNRmfs12V2NX99Yi MipxSCXSc3IjtRqTVrz5gryGqF/abZWfWtXYwCexxxXfcUhpauJMa3gVJhdb bSLVi0PMuMafjDJfscl7K4J0Szg0bKMo/DG+HDMIFeUrW8YhY91bpqYu5Vhl 5jUu21UcIpjJ3tK9WI69HvvK9G0DhyI+ntUdOCjD0I0QEq99HPKjsxCLuVOG JWjgR2dphFGTw9w/EyjF9PiM01tEhZHd871XGTxfsLhxmRoTMWEkyxHAI7RX jI3nUg/NiwujkzyzZ2uGizFvVMnMJCWM/rgKhj1JKsZy7uC9r8gKoy/SA/sT EsUYbcGK4fA5YaTuwpCroFGENWq8Ilm8Kowove65BUQXYqyMdny+14VReLo5 3Q+vQsysX1WR+SZxvdU8CVXLQmzTfuOu3C1h1D8nrxJ6ohATCzft97ASRj+Z XpnUthKwgJ+SeYf3hZHI5KpoKC0BU3VqNGF5IYx412f2n6F8bHdgRqs+RBjt vs3kf8+SjxWp08t5hgmjhxSDDw9H8zAxHgPqkXBhdInq0VZ4YB5GXz9YlBkj jIDswbPBrlxsgGeRAaUJIyp11elS5xzsQQN7jVO1MMLtWd2/N5qFSZ48/Um4 Vhg9yjQN9azIwsYSbsT01gmjsz7hixVvsrCrD947qnwXRvoXThmtns/CzvId 46FqF0bOnBZCDIRMjNr5jEvioDCKE/zW9uVlBvaB31K0bUMYeZ5jgAqndEzl lJSM5ZYwGvSI/C/hcjrWq71+entbGP3Oi2xMk0vHqD0DL4ruC6On4fa1iltp 2IMf2S7eZCKoSvOEqK5fGoYC12qkmUTQclLuCEVSKja6FHDr5TERVB9sad24 lYx5U+nb4iVFkOopo0mPX8kYpwCXc5mUCAoR+xSr3ZCM6ehkBUzIiCDM99bo tdfJWGFa+6dzCiLIQSgtjE02GfO/wbm7oCqC4nRVhkZdkjDRbxkx+iYi6Em3 uISPwHusQ3o7bdhUBHU4HJMcXkvEHsZc+OxgJoLyVra73VoSsVb7mc5ACxHU nTs7avAwEXNhlqKpthVBl1lOOxb2vcOqb+V5nXATQWe50tObEt9iN7eLbjO/ FEHHHfVLuK7EYxSWlPffvxJBbbEuHYwn47G8VmMf6QgRNKttKq/AEI+RftiM v/CaqMdhkyBTUxyWqanU8zReBGmNUXSsQBy2EVWhuZJOnM+zHK2pFItFHK+T 7K4ixlf3p6VKOxrLVDKh8asRQQ+zlJUrJaKxavX1Kdk64vekL9XM0ERjizfE 0iMbiPsHlnP0trzBLgaGCBm0iaCWjNr0X/pvMKrfhuxdP0XQCJ36VKT5a8wr YuygfZ24XpHv8fTkSCzqrfewz6YIUo+TCxQLisSyP3JUHN8WQXKrvnWdjpHY QOX5hy/3RBBJsezvOKVITHHm06ouGR6Ne41ObP+IwJZV3aZamfDo8t97Orl0 EZjNGsWPZkk80iync7Q49RIzy9boMJXGo34tdO8K7UvsqkVA69JxPOLsUJ57 8jcM0+ok/84hi0eFwa7Ys4gwTOwTWYXFaTwS6Wm0k1oJxSYsSdJ31PGoZ1SU vL8yBLPu3nsocQuPPvKpkER7BWOmL854VJrhUQ4vQ5TUjWDMCHm5XrqNR6c2 LDNXFYMxjbzde+5WeDS6/UqdZS0IEw3Zsay1x6OH5nk3g+8FYWOqW7o3PPDo r98sErobiFkSVnEvwvHo2ut3/7iCAjBHvyv7OpF4ZDglQ/HXJgBzv1LUT/8a jx7ZFIoOawVgwRvuryJi8Cg3NtDM9kgAlqe8sxebiEeNyaf1mkL8sZ3aw76P n/CI/pTJf3YJflhEN/3L+kY8kvvD00E69BRLSL1nF9iMR7Yn8ZWeNU+xVLcO 9QuteMSq0naD6+NT7AtnxG5rBx7xHlP70O38FBu+yWbX8x8ercm/l5Wje4qJ j/Goj47h0aqvSl9pyBPsZNFjwbQJPCpXuBWSePMJpvJ8aOfOFB4FdI97tks+ wXTFEwtmZvGoUjBng77NB3O5ixNcWSHqFTasvM/ig3mffbZTuIZH16mmPaTH vbHnDKO9bht4NCx8dzD1izcWl58aur1N1Dvegs7G1BtLeUphW76LR35pPL35 J7yxTwZ31Lz38aglt7sMI/fGikS+C2D/8KiA/oQKa78XVrUmtnN4iEfm3D+6 JT55Yf8DGfSSHw== "]]}, Annotation[#, "Charting`Private`Tag$17330#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVl3c4lt8bwK0ke+/xegmhVIRUzikjIiKERDZfm4ho2bOQvcdLooyyx3NQ yJZNFJlJ9iZ+fv885/pc97nvc6/rPPfhN3PStiQhIiIqPP78f019ZkZ+wSJM nkhLLVv8eP3Sh1O/h7MFl+TD2UxmbMBRM+aHw3mBgcRE7fJ8T5BaH8F3AhcC vmm0rfLKBAP7a+4O23yJgFBrcOujbjz41D9B2FBIAcOEE5c1SJLAnp362Kp1 Onh2n5epMDMFKHZGnd4aygLqJ1P/FI9lgL59m5gVvneAaGdMJiIvB3i08J5f LskHhREbJWc7cgHnm/72vwrvgQGTwUDv77fATBSS/rEuAglsMmKPmfKB53uq qrWhj8DKw9LnKr4Q3IqeJV/L+AQOCnX8WNiLALdng86qbSl4tcNnpEhWDOoV Hq8s75cBEm79+YbFYnDy+y/hv3xVoCukvfJ72kcwXF/nvjhfBTZnxsNPn/gE 8nMTPv8pqQaWpK+kiW0/AQ1XDZMFhVqgMKPx+tWZUhB3qjpuzhqBys47WlOv ykDp41uubuz14EpjVV/KrzKQsiDDse5TDzyLqO8IS5UDxx5G6zWlBmBf1pPX 2VMOGFO+kqwONYJItpfvz65WgH3a8nfOVz+DCzNfTspLVYLpl9l3VjI+Ay3R jSgD90pQbv0sbdn2Cwg0iGvpXK0E6aN2Sk5dX8Bvne/tkmerQPBtg8Wli01g xen5NrKqAoaSUnJL+02AvITdxrK/Cijk8k86PGwGXqbcc2EU1UCcgy7475dm QEY8WLEmVw0OD38PLEa0gIw6esmkpGqQ2Zbu8oevFXz4lWt0qFQDNhLKRH+G twJd2RhvcucaoGzdPtW72wriyesE5BJqwCLptm51Xxu4mqxTdH2qBoBearpC 2A5YGrRjBclrQXQG/mvmh3bAm/ww+o5wLZC9piEXEtQB6vKJQtMsakEYlcW6 z0YHcNGumOh8UQt+jHi9dzbtBN3FbeSmybXgQt5rS4uuTjB7qJ5vXFoL/D1y ePWvdIFm9ztene21YEixZkgtrwt4a8zxl07WAlGmb5GApRswNwpoc2zVgp6i AxLh5W4w0li248VZBxjBKWOacz1gezdWzle0DlwRipELsugBhqoW6vjLdcCC ho+NOLkHUOQ57Jso14FXG+/Wn3zrAadojpiva9eByu9SPRsnvwFTJ0urdqM6 MNmI3jvKfwPszX9ryazqAGX+rZD5R9+AFMXMzJpDHZCKGrA0K/gGasQTCpMf 1QFjz4c3xia/gVJRnWmyJ3UgyOQPrx57Lzi9a6kj9awOFCt77Hdr9IKlvdx2 iZd1YPQs8bBqQC/o7aJBB751gJQlvPRzTS9gmrh7LcOvDogfsEZdW+sFf1LQ Q75j1pvKdKgQ6QOxbvEKz4/1n7eJ37pg0gdu9fITNR3bzyupECqI7QM3hXOK N4/P7024QXq6ow80T1g7sXrUgf3nnT/TSPoBkUOxnrhzHRC01q9lv9wPLsg1 vbhqWwc0NKYSop36gYaQ96KaaR14fMnRnTq3H1B+apI10a8DGdy7WoFj/cDN z2DliUYdaCP1P0fENACW9P+kZivUgY0FWqonqgNgYkOiY1ymDvD0Js6tPx8A H9jHTpwTqwPOGUUZc4sDwPrftWY8XR1ICpJ7aiowCHivPzDrOaoFnx2bDL4b DAKDaU2B3OVawHrtO2N387HcfDtgtKMWQEGrZZV/g0CXp/ny9epaYEu12t4o OQR0FXLuTOTWgtoR8oDyjCFgjutpH3paC8w8Lm6nPhkG2X9ePuMWqAXhD+r6 2EqGgWBn9YlyylpQpqhSHDU3DFiXNBZzV2sABZOxbYDOCDD7/uF0al0NKCwK +W5/bhSIKm5bAo0asMC4EH7LdBQE2fYNLF6sAcIet+RFYkbBZjSdJR9bDci4 SpU5tTsKwoX+iPP+qAbRreFWhk3fgVz9CZc2q2rgMfV69abROPD619ZIbVkF 0qna/RiUJsCGP3HgT8EKIH/N2+iF8QQwDK3TqTssB2OOYpeWH0+A+EWiy1bD 5YC9N2y2I38C+M9yUOPCykFUgrpqMP0kKA/2MjNfKgN+p7toj75PghDBKZD8 oRRYg2+Ji65TwDht580g+0dAlLVV/T1sCqTd3LL4sVwCEsi4x9oIU+Ag7HX+ j+YS8LXVivfd4BRAzT7fOx6VABGdgyxLuWlAyvT+0dOeYjBvI/z+B/EM+O3s YLtHVwT+i36K9UTOgoxIh+cxe+8AyWbWT/RuFnBxZLZeyn8Hku59JSpqnAXW 6ft2BwbvQBs3k0LExizoFcDXHVblAbG3eS2q+nPAqWo8ZNP7LVis6etp5JsH QXZDHIkUOcBx5sxUaeFvECCpW+KilgEmjEcoGlp/Aysi7dzZrXRwdzj4XOf0 bzCg/TIr8F46kG2f85rhXABPPNT8sjjTAGlJDj1r0AKgIDbidc1LBgk+/PKP Tf6AWaFvn0qm4kADE0fiZfq/oPbUTy2DhjAgFfEVUxL7CwY1gvVNPoSCXHLP aS3lv+AFUwn7VFIICN8dlPjP51i+8sPK+kkQ0PsZ05w0/xdk914l+Kj5gYV8 +o39+iWw1d0wr+zgASj5/YV/yq4AQhe9GomRMfp6NUrimdIKCA19/DzyqRkK 1E+T4dFeAXLKesl1LZaIJLLy5n27FfAf0ebpTTV7tHe4aD2UugK4bblX90Ie oT9junndJKsgruP84682L1D+jlmxI90qWJ5tCr4h/BLZMDtX0nCvgpPvBA5t pl+iabXQr2qXVoHnAb1NnaEfGqvG5lusV4FhS6JfjEwg6kgQPlPfsQq8yq5J PvsYhkJLpS6YjKyCHvHyADKjcKTSc/3y4cwqIJtu2IVkEejLSSPVq0erwMHx zJufd16hWo9I28oLa4CoLl/L0iESfdDZfVcctwakvpE8pRiJRq/o20UzH66D Hx9EzdXk4lGVDE+ZhuM66GA82fvxRTyaNnYCB97rYPgye5dtczy68oFJ5178 OvC+cku0VTMBzasaPaXpWgcj1caepoaJSMHvb7fXlQ1wjd6jNEEzGTnmA0Nh 1Q1wf45aQiMsGSV9i5ru19sAyx3lacbNyWiFT3pXwnUDMB0cXX4jl4LSap/h Z/M2wFppSacJVyra2aRz12bdBB86GeEFlIYEeMyOjgQ2gVqpXfLyShrSUCwN +XBhE8zG6Rwy49NRTrR+GsXtTSAnsj0f75uOtCUyWzC/TXDq48VRVd4M9MHm IqfY6iYg4lCmCm7LQMOv/QnDh5sgaE4lp/NHBiKrGDwXSL0F2oserHesZSDD E94Kk8JbwKv/gtweRyaiyPpsH2+8BUSPSu9xWmYis+86iLRjC9Brq1J8XcpE lMmTDi4jW+C9bcv5iMNM9NHQkfvn7BY4FS8bw0ybhUhHg7yqibeBbu3eczvx LEQYrpZ0kdkGSmtibIpWWUg94eavH4rbgMTLWeH0oyy0ca8/Ul17G3CKlEW3 v8xCSkN//wo7bIPcYCVa25QsNDuAy/uRtQ0gc3HOalcWehX7QU+9eBt80Vdk Jf+ehaR15U5U120D5S9h0b9ms1BQ/12z2OFtYJ5Qwbr5LwuJ9AVyq9PuAGbT x5yhZ7JRTzRTexXXDhiPeFI9L5mNPLUzvITP7IAhxxpJRvls1PqtapBEcQcU 3jVjb9HKRv/1LEZWee2A9X7Zx40e2Ygx0gsIB+2AB908hS+fZ6NqTfKlmJgd EB3KHkYbnI2ouvnUnIt2AEG1JjU6IRu979Q+ITyzA/R7k3/ershGOhE/P8Ws 7YB/Pb+3/bBsdKBub0ZCtAsiqticQ5uy0e2OADTOuQuwlcPeU33ZaKmt0ivm zi54F2X/9vufbBQXqiRCYrwLprzESNNWs5H8rd5BJ7td8D4l00JyOxu9bv0j qRa4C6BcetgwMQHJhnj+qnyzCyRDUvbmyQloQuVElFDmLjhVc7Wxk4qAzn/l XSKu3QUFTlqFLCwENBxUkOLUugt6POR9vDgI6MVNWbXxwV1AcjC18ZGHgHqa tfIqV3cBaVmzYN5pAvIM/KEndLQLyMUGvSzOEBBO2e5EDPUeGAg+X74tTkAu Tf5mTsJ7QOHFfziCJAHxTiuTb0nuAV5ulb4QaQJqJzmV7wP3QONZ7l71ywR0 GkashhjsAfRg8JOdPAH1GmvG0lvtgc/f+li/QgJ6/pThcrzrHpiz2moiUSCg kerYF4SwPTCfPkLBfJOAAkfuCYol7AGXxBLuPyoEJLnD8bWEcMwm4z6Zt47j Zx2zky3ZA1iKja2MOgFFXEqjQ3V7QOLAGP/hNgHJ6Tz8pNS2BxJFOuZINAlo zhV/r2NwD1x9Vrsre4eAYqKm97Sn9oCX7PV4TS0Cul6cmzayvAecldb3lbUJ aKnL5sbDgz3Q51lqxneXgJL/is7OUuwD3Vwr8pFjVqH+G+LAsg/eZf7hf6RD QJuiRWc3+PfBC/nTKyvHnKXq8u3JuX0QcWezQFOXgDRtJN2Jr+wD/4JrkZHH fBC4yR58cx+wCkwMfTrmdzkVtbQ6+2ArFKurOma9L14PYx/ug8Hyap+sYyad ukLG7bAP/ntSrul4zMXEh2+zvPaB+bs3LjzH/ABXr3YmcB88YpPiKT4+nxL4 LhdF74M7CV4RQsdc8UDxjXT6sb9HSv9eHPtv4UMuU1ewDy7ye79Fx/EyJH8d VajcB6k9e82/jvOBVYU+a/uyD9Imc+MWjvNlN6yO1/q2D2aETbWGjvPJvk3b PDS+D4QeU118p0FATSzfbI0X9sEDv89uD4/z7yr1hmZmax8oxsxq/lMjIL67 uiV2pAeA9t/f/efH9fOKHNnx5D4A5RopCTLH9RYqSk45EjkALW616/ZKBNTX +QAGXjoAgraf1oOP++Ms1a+gNxoHQPwae4U7IKDRMwQxzvsHgEr/aFr5GgEF qVh1Z1gfgLSaovAjOQKaDFhgLXxxAG4PGPOKHPfnK8L7aqmIA5DSMuiacNy/ Vz47GtckHgAKb0rW1fMEFEu0nvP14wEgpMbzGIkRkKr3vtTU9AGo414g5eMj oK3EumHb1QMwZDaZMcRFQNmVz31W/h2An4Ze0k/YCejfJumXf6z/wLAuBe4Z AwGVOFPfZVf9B1YeMN4LJCGgjiQmrw96/8Dd7+SM8ofZaPYLZ/oNi3/ArVKt Ynw3G3FynPlj//wfKKbh/Diwko38G5T8Gsr+gaxABpKi8Wykx/j803/4Q6Db XDhw5VM2cr4aOHIkcQioGlyevvqQjUKtIo5irh2CdM6K/o632QhVJ6sh/UNA nP7VhSYlG4mYV04xvT4EezR/JAl+2Wjv0ypT3f4hCDpYkNPTzEbMP3Yua586 Aqkxras+KtnoHAXRwznWI/Db1ut99PVsZG5E+57h4tHxfGRAHH5833aQiSla 2RyB1kStzRrWbJSma/GIbuAIyJo1514dzUKZ3nYL5+8RwdaXbldO3MtC5+tP 7QQ9IIJFO6qK/zSyUD1Z3omf5kRwyG0u9o9yFpqImMZFOBPB+DinmALpLMSb 8eDe7xAi6Gr3NKCWJQslfdH8kllLBK+CQQf53kwUTSOVxognhjNCQ+/TlTKR b/qB1sYiMRRnifVc48pARH0TsPYJKUT/8ciLuycjoUdWnjqiJ2DynLBjmWsc mt6M16OqI4cZ17+nXJCNRlnXJd3GP5ND/YPfZ6mEo5FJRNfrojZyWOz00HaZ JRqNCp5ovTtMDi0NXbeH1qPQt7uuV1LWySGgtzw6UxyFsBJ13FnRk3DnUnds v2gUincgXtCIPwk1mKcpDUQi0a2Z/55Gu1BA4R9LTAfB4Uj5qcB7RU8KKLhz eqLEPhzdYBkb3XpGAX0iHs/73AlHckq3Ze+HU0COm0IEbfZwJJojsS7wlgJK 1w8GHuSFISrLDZuyMQoYRT+TdrMrFHVMP9UZvnkKxnXpzCaLhCCN6UgxXl5K KOsmLrrPeTyfiU33GwlSQkNG/nSbE4FIzU3mWbIoJTTj5FSZWw5AKiQ/ethl KGGOiS0He1MAuoET82C6QwmpE96vKDsHoEtGTfUUvpTwRYiiWF+rP+Lu39Vd n6GEreaOZ1xD/NDCZ7MXXz9QQW5zm36ayy8RX9Twf69KqaC+8wtPBqGXSMdY Q1enhgpKtbkRCTO9RNjOZdGJr1QwZcfwddDfFyj6LEP/9hQV7NG64MKT/QJd iUfCwpzUcHx91Tea4QUK/4+7OyCQGi59qFQhbD1FDTLRVWoR1JDeH7bu9D9F W2QUBIaYY46vlnP89BQ9TF/3TM2khonkL9/UOD9FUv1t+LJaaqhBLxs1vuiD xq95eUyvUcPba3oWon+80TmGQR4FExrI+TTlhtKRF5qNmPWNtaSBz5xrTwZM eaFUyu25OTsa+Fipau9HixeiJmP/GO5JA/9ODfBORnqhhS0D5cEoGriU9VuT W9AL5YyNO9p+oYHCyUScxpqeiDtvBr0+Qwv3P19miaj0QP2CW4K/JGjhTH3O 46V0DxSWSR4qJU0LmSN/lVkHeaC9JGGdkRu0MB9n/zRTzwMNR9jO441oId6O Rv78ljt64/aXvvwVLfzzdr8o/7L78X2/aTq2TgvLe56/j/nmhjyvi1CU79HC t9iFzH9VbmhW4X7ha2I6+J9/ycbzLDfUqNKwd4OODmaTRz3scXNDT7Qj3rwT pYNWK9RzqWxu6I/l6SYPUzr46MNE8LC5K+oI1xVh6KaD403sHJK0LkjudXDX wgAdNOnHp6buOqO8qJpHX8bo4AifbQfvjDPyj+NveLxAB59yvhyxqHVGvD1b 4ssk9PDXvTrrf3bOaHCksUmXlx4+8KlSTklzQjf/Gm7jdelh4Gf++Fo1B5TG 7Nf3XJ8eav9a1X4j4oA2rhQUjd2nh5thXlORJxxQRui+dZwZPeTwvLd8hI7f N8Ipw6ec6WHLs5n8d9L26L3ZeNVKKD0csD5wpxKzQ/TDJj5YPT0cfnPFnlbC FlkdBelzfaGH4jfZZ7zobVGtULGUZws9jEj92HxyzQbZuhP9vdBFD+33rK+E ltmgRsbMBznf6eHoTPtZIXkb9Oj2L/nwLXo4dp/KOUXXGg03WhAbijPAcjXv uIwUS7RyfZTzqQQDrB0dmPrpZ4lONmhKZVxkgEmZfmmX7SyRNJKznpVlgPiX bptX5CxRTA19p6sSA5Q7/9PIa8QCaZbWJoQZM0DblazRem4L1JzDfL4ukgF6 Fwv896PMDP0QDFWdeMMA7/+lOn81wwxtZh+ZkcYzwH/Nl21LQs2QYNZCrGoq A+x1YxqZNDFDvmn1+wPvGOD7gici+lRmSD7evmWp8die9s7dQCtTVBb8xRi3 yQAviWuJ3D77EOXdamcP2mGAS9SyR0PsD1ESdW/v330GKH8YK+lN9hC9iPyp XEPCCEnKOxOZK02O3wN75/ToGeHBiu5gJLsJ+vX2/FGYGCPclzO9fv/XA0Tb kpK+bcoI6TguXOuOv4+IQ7INjC0ZYQMVoSnh0X20cSufqcmGEVIaeLeFa91H I10VQdFOjHD2UcGbdar7iDDY63T2KSMca38oXuFriORmKaB5AiOErQlVS48N kNUJ94muLka4oLn8fPL5PcTJ1zq0/40RdpH9kM82v4e6ZHm6RQYYIZnJm7MB N+8hafumOt/vjDBsbpLjHd09RN7Hkiw9zwgnA/7lO2TqoZyMct00Yib4+Ude XGebLpq+stPmIMUEX15O7z4ppYMSdNUbk2SYoBk7i1YUlw5Sd8qoapFjgvF1 PYfSpDqoNEslj/86E+QD74wHe+8i/1OJAQO3mSBJI+egqdtdJDh0GV6zZoKV d1yF3lRpI3NX7zLqJCYYK5MglGqghaQv/ig7k8oEK+Qv7/xQ1EKUa7BcOYMJ 1q7PeMue10LFLuQVL3KP9weMnL94UgsdOEdVbnxkgk6cdu7Xyu+gOKe3NWPt TJBVZbUghf0OarXva3j/jwkmX0jBl3y/jVLEpRtbiZjhuRiPtYaK28h5MaFx lpQZkltelzl4cxux2ht/xlEyw84WbvtF9dvIzO73lxhWZljZzpFUXq+ODmyP WnwkmOFOem59W5EakrAW61I3ZYb+HpNddfmq6Ictn9MHC2YIFzNtyUNUUbg9 Ez2tDTP8mGMU4WWtin677Gt1OzLDu7ydBT8EVVG2T/uAlg8zZGtcnk/LVEFs 0XbjevHM8EPhfGBH1k10VFuw+LCTGYoqBc0GNCqhQpQe0dDDDCPG8zgbcpSQ UeObc/h+ZijnzvILF6KEqlq8nadGmWHc9VP+t+8oIbdetQ3LeWb46N2Sv96E Ipqb+7P/HykLfBmhdkRyUhF1M4pTuV9mgV8tBPczHW4geQeH38lXWWCEhCVl g94NVNhS2NIIWCDbM/HjKfwGeuVzwZ9emQXWvfCpbmC8gdRnpf8VaLPA2drE O1FV11Fb1fXlX3bH7PJJRYD6Omp6eK/vThoLvFrmUBQdDJBUTULJ40wW+DH7 u5W0KUAEltHXaQQWyD5xMf6UHED+bUbqi/ksMFW/z+faojy6IWXWFFTBAg8n 9JgGtOVR/UmHCqyHBbqaavG+EbmGagp9k8VJWWG+vJ/B6oYcIlfX5YwnZ4Wz t5TSb/XIIa3fwonElKzwDiyS6C+QQ3MCnXGD9KyQ+5Le5cfmcogpkS36BS8r rLJbPrvVfxnZ+b0P7r/MCvcuqYRn1ssiLv1Bdx9nVnh3lekKe5U0strM25h1 Y4UiD3YtKZKkUUm0t5vWY1bYfZDfyu8tjW524lyEnrFCbT9Du+5r0sjthp19 Txgr9DKB1vRNl1C7OJG54FtWGDnbX7M/KoW8iUXvdIyzQqvS98uMApJoVpFq WGiSFeL/Czh945QkuhO8aPJymhUm27yUfLN8EQnSFTlJ/2GFZWYxF5NqL6IO bqnXGTussBYeysjoX0S8svJdj5jYYObtTOmQ2Auo0VFbnUeVDS450Jy1Fz6P xD9K9j9WZ4MZBe4fAxnOo7hNZqNeTTbYfJeTy2dbAtn5DNkF6bFBLHTz8YlM CcQcahS2as4Gv1De9qzfOoescqzamp6xQZzgZGXy+7OIcuyJimMpG9RSIlhQ QDEk/fgdzesKNsheQdFuxyOGTBmHe4uq2WAbUcfK7p4oqlS59GC1ng0at9uk xJaLIquyZZdHnWzQVNbN8ouEKGp4ZZH8ZJYNvjIpiR04c+b4f66xFMjODjPF xwzDrggjwpjPp7dc7HDpdtDj3zzCqPtxgedXXnZ4TmflmT2RMBIqpCClPM0O 86wFkiaahFAf52e2iAvs0IOZn81HWwid25C5/uYWO8T6WPr1XU+jmVz+mHQf dnjaePW9e7sAWvSf3CV9wQ6D04jf7xYJoDWzTBMbP3Y4KzSynBUjgIj4+MUu hLLDCvqvoRbGAogzHtfYGM8OhbSpVtLW8ehOEN/KzMdjewP3wloE8ajWmkdd /Dc7lAshM87IwKHPSuMlkYvscGXd+5ZrCA61CaSybS6zwwMLtzJzVxwa+sk9 VbfFDn98DXckKOLQ2j3uJ5pkHDDh2unAiwN8SESFK8+VjwNe9bJUMvbkRTEi HGRVuhwwkYnmNskCFzIyFno7pc8By2WwwpAmLiQYI3mL1ogDsvbKvAeZXKj0 6HakuRkHVNAv9pU24EL9g77ctE4c0Gr/a4lKOydiCliUMg/mgL/LqhTaKzhQ 9CSypKnhgD9CYgZmitmQIVsnhSzGAdNIZs8NRLEh/O3RArMGDhgnSPRs0ZUN fazcWK1o4YABN2Sloi+xod7XZ56Z9XPAr3tGz0trWRGD/Ju4ir8ckIwoM0Ck lwVFJlm1mOI44Y2iqxft2JnRYw9fNx8BTjgvHDLw9JAJGWun8cULccIy+mXp kmkmJE45+LhDnBPS3R1O9yphQq1eSiIylzlhlc/wQbg6EyIxEAyh1uaEuEca XqnBjMid7detCj9O+N7tlKgZGwMyWv+39S2QE3bFdLcqEjMgxW6O7MUQTvhA RDZQ4Q89YgzS2ueP5IRiLQ31MYgeFW7VF4SncEKdJkcJX1t6ND+QTm1WxglV FiVjO/3pkGHMgy7qOU74Y7ludIaWBnF/ouSyW+CE5Y2lNjsz1Ojntwrr1r+c kLjHOluhjhpZ0DESB25wwsq2tD1fe2rkGNoseUTMBSNjYi+kdlIh3xcSiavc XLCW81v7USIlemdPbDGozQUnqgMWnhpQIPuwwmIpPS4oeKmQj12GAp3Lv/8v 2oALuvLjKyaZKdDHubI4zYdcsN56Vpzk20lUa/Zf61cHLkiuVcHkqnYS9ej3 nasJ5oLMzRKdYyrkaEcxZzcd44Jx5YIzuhZkyKcm3e9LAxdkeKUgaqxKhogu JtH8/sIFtzfPJIWcI0Mn+V7zX2zngsuPDBRVd0kR666n6pchLhiMi/9qFUmK JD+oJ86vcMHUCvHPa19IkCPLhuwFAW44RXWgS6tMjNbClhp1hbihZldMpaAE MXIn+a3+5Aw3bMguXtVnJ0Y+y+MPP0tww8rHj4w4/xChsNaWYN2r3HBL5/rN f1FEKO9p8rCXLjc8PSzCcqvtCJuaueHZGMQNUyKCORnhP+xGeleWaBg31N02 uPWH5R+WoW/YGf2KG9oVi5kQLR5gxu0uePNYbvhBtnBgLOEAGy3O6CDN5oZW NTdu6m7uY73ehzgljBte4VFUW6/cwxoZqltbNrghfVXX4682Oxh/u9KGxA43 LOEYwz1X2sFe+H/jTdjnhkmUOTgb/A4mvz3vZkPCA9sSpVl7xrax6jE23lP0 PPCK7rr7yt1t7ONbd9dbYjyQ7mn+oozaFpZ17QJXpykP1G+fwU4abWCNGpR+ +xY80KFBvMATbmC/TKYWztjwQJnubTba0xuYgG9sdaAjD1QvNu/KWVrHCM27 BtCbByb8iznr77eO5Wg2JnyK4YHn7F0+DH9aw/JM77ImtfDApoFCt/qzq9hX V/FnX9t4YNYhQ54L6yo273didquTB0ZeVJK5cbSCieRWlN3t54GMcpYN8NsK 9m6BS5dm8lh+9RVpkccKlu82/ebFHg80dpRw0n+1jH0IcGewPssL+56pyTPu L2KLVx/4BpznhSZGNCQu/YuY+IbierYkL2TqyBchKVzE8s2YByYu88JhJUqb atNFLA98SjBU5oWKgXSaz9v/YITdFT4NE15oQxcdLpm3gCU52J+7FMULU87U TRb4z2Ojgjrpd2N4oeum/+sV83mMY+wKvWs8L7xj96DsocI8lnCLaq0wlRca zs09aySZx2KF88tE8nlhOf9ORoDfHBY5OXeV+zMv/JXzYXwwfBYL0jVXI93k hdG4D7xUddNYluaYkeUOL2zaIHLZTJvGalV1HVv2eaG8ToEi5ctpbO3azagw Ej74sGlZ8aPSNGYkJDbERM8HPacLvNd7prCL22tmgmJ8kGL3pT7x8i/sR4Lv EyVTPlhHNKiiojKJ7Ubvh7214IN93GeiOSUmMeaIR6mnbI71jR34GFgnMdWX VvWdjnwwo4hd6b/pCazU9ha5ng8fVGUR8mzxncBC5RijreL5IFvqynvy8J/Y pbHMd0GdfHBtu/qpSdsYRn/OZqeohw/S0ScvnM4ewxafn7s53McHl3zv0fD7 jGEEgZppkVE+aCvJfqX03BjGbNfP1zbLB0OGknOV4r5jez6kauREOHh16YtU j+MoNkIl3aDCgYO1m1TuHQrDWLNU4vwYJw4aixy4EfDDWOmDAzoXbhwMVzLW fEc8jEUWNRon8uGgi9X9etn6IUzlrubB79M4eFLLKcIGDGGVSTYyYRdx8KF8 4cx3pUEs4Uzyh041HDyBp+aOdunHNtaVc/xu4+AFvRQd5bv9mCa2lnJZEwfn PQbFhC/1Y+R3b4XnaOPgVpdLusNuH+bus/vfUwMczGG02j/h34dpd98TOWuN g6lFGkHCmb0YtTtzdrgvDuLjYp3Nd3swG1CfdMMfB00LkmzEJ3qwz6fso3cC cPBngqQfZ0sP9iTt80uLEBzkJgk3sIztwX63uD68GomDp6W/cBdL9mDNnN94 FlNxkKzbg2P8bxf2vD4iQa0KB8cpebmtz3ZgC+P1MbvVOJjGowYUyTowvf31 yLe1OFjlwUT24Hs7Ji5tGEJaj4O0CWl7ILQdGy4QelLTfOz/ULVOw0IbdjEe 3Rfrx8Gmu38DTMpbsVmHVV6qZRzUOO9/KsK9BdMKE+SqWsHBs4/q75+/24LV 5t1js17Dwfc3dS6duNCCvZmqo/u8iYPElczBN/42Y9AglMj7AAcFPbeXyGya sSRFgV8Lp/jhvILcqKtVE3abSzenTZAf/vE0n1UI+IwlTJ+rvy/EDx3Dy8bC /vuMTX+g+L4ozA85rJ2u7mh+xnxgLT2dGD9M92Vwvsb1GXtvKeBz9wI/pG3u kXj0qRGjLF7VHrvGD/O5bmpaLzRgLYqviJb0+GF10sHmCZd6jJHWhuu5Pj9k s2rhfWJYjxkPXZemN+SH7ygi3agV67Et2027iw/44WuHbu4wtnpM6LXRkIc5 P+Qa/ps+8hxh/iOihUdO/HChtz9SVRzDrju23GcI4YdE2ZP7h4U12N7wb+Uv ofzwrPHRfRRQg5UqUF98HM4P9Yvhcq1RDSbEoUUx/pofJoKJB45UNRj1l9HS vDh+eJ3OFZ9pV40NcyzRQAI/3M4dfn4gXYU5NzHXOyJ+6H7HTeHqdjkmel6m gL+BH0qwauQe9ZdjU0kGcf2N/HAlbbxk82M5puecZi/XzA8/8Xa6eDqVY1e5 RDjIO/nhxnjH/e6FMozC5Ypr6ig/dHh1k85roRRL5zYT7Njkh8aXbd+5Un3C 5CTFzplt80NBrS5c98pHrF91Q2Znhx/u3/2eoDn4EaN4HKgmeMAP+YJIN2sy P2LO3/JdfUjwMC/pjKK83EcMBq7Xi9PhYcmFUtevLiXYr2X/BxEieNi8ROw8 sl6E+ZBrWAuI4mHB5nMN4pYijJWHzaVKDA9vJJV2WycVYbduvfOfOYeHvrGO r5avF2EfCZ0F1y7hIYmCSdvkm0LMz4B17+91PPy1TJJLp/ABE/z8Nk7jPh7q Xu+W8+/Ix7rEdwhjRnj4ZHx3oOBtPuYZp/LpP2M8zLHpyCb3y8fabX93B5ri 4WrgYq2OXD7mSi92ClnjYdSzIjG1gncYelDoLfHoWF9mU8I8Lg8z3Cl9SB+B h3S7rTslr3IxMrMTTmmv8NDw12RFtlMuVtiu+1Q8Eg9dGZT10J1cjDh9K1Hl DR4uEs/6ujHlYnlKsn0vEvFQ0UV4pC0pB9uMrlFazcFDioo2K7oSAhZ5tlG0 F8PDopsWTmgvC8uTvX/Ktx4Pe1n9W0x/ZGFIYWPuQiMe7vHTHp5rzMKWDIRy oprw8Eo7u4hqaBamFhjKp9WBh3/86Iw8uLMw8p/azD0jeGhvXJPtp5KJeUdO /evcwEMRn1zrVu90LDrZZ+zpFh6eUI41WlJPx/JzWWrO7uCh2JPBM/d507Hh 2pueEft4KD6BIikb0zDp3wVr6iQCkGfwqk0pdRq2cv3RXDudAMQKjz53FqZg Vutk31pFBaCTYc7yC3wSZpyv2GUkLgDZqP09VQ8TMT1T//blswIwJGF08cZo IqbcTdrMckEAlux83m6OTsSECkhqTGUEoNKg/iUK8kRsxowoZ1dBAF6nYFJm 3ozHLHr3Pc88EIC9PWEHFOuxmFHIFY9aYwE46OG6eqs/FtOB3m6aDwWg73qp bHlZLKZYuOfgbi4APbAFJQqvWEwwdNeswVYA2lRb0ccTx2JT17fVDTwEoMrN U/RKnDGYWckaLuS1AIxKgjT0ttGYve/dg1tRAvAlq+dpRfVozP1u6RD1GwF4 r0b05FuJaCx40/1VZNzxfq0ZoZ2tKKzw8u5+fOqxvcM85U9BUdhuw9FgboEA FC0bpwMlkVhkL3XElxYB2HZAXMqi9ApLynawCWwVgOdjZQn1LK+w7EddCirt x/oibt6fZiOwctbIvfYuAXjulHa8a0gENmbIZNM3IACHXFd6b/eGY8JTHAq/ pgSgoHlNNY9LGHa+9AkvYUYADreVSosqh2FyAd93LecEoAFfobsXVximLpxa /HtBAD65YJT2ozkUc7XD8a6uCsA1mxblSlwo5nP15e7H9eP8vJ0M7N4OwQJo fvU/2jyOl83ttlB3CJZQlB22syMAfc5WdEc+C8GyXpBZV+8d14NwszZbLwQr 0LK84XMgAMeWKaM2zoVgpfhmHvlDAci87TTrezIEw9aFdo+OBOB61oyOxkQw 9j+nIS0A "]]}, Annotation[#, "Charting`Private`Tag$17330#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVmHk8lN8Xxy0hIsyIwixMRSlaVFrPtUQLCYmQopLsiaJ8SymFFCVbRYlS SVlaCI8tS4SQJUv2feZmn0H8nt8/c1/v13Pn3ns+53POc1+Pkr276RkBPj6+ LeTP/8enV+2FN54O2cP3pEXo/2NxHdPQgnkO4vIqXU3JcaEkL4DJ9AWnEw3S MuT4ND+UIcQMAgXZqJhmRhC47PZ2nWbEgN3RXXIm5Fg36xjxl/EaZrPpO61p r0GkpUuFzciCjbGfqmKXZcHz7/Hnhxnl0JFw1zB9qgxS3we1uKj/hkft9bvF vJvhLPyMGfHsBlr7/Vk+/S7gS5jKbgnphtRKV+cLVl0QvUix9XtiNxhn7Pj0 260Lysod6K8bukGFZpxyO6oLVI/MJZzZ0QPYRLns2EAXDDiqpLTz98Lvj+fX 1d/uBqcH/+XVhPXBgblJuR+5PeDWu6Y7M3UQDu8oWasn2A8dts2LC8oH4aVk 9m4R2X4wa7qj/qNnEHb/WFKdpdoPWhX9vr3yQ3C62m8r26gfBNOSpGRvD0HD 6MKnkKh+iPZT2nPpxDDIHF5x7YnKABRQV8Rsl2LDFx+JDR93DIJmaFneXjU2 bKxjBxofJPcR9ukx0WfDri6/skbrQbjLa9Bw8mPDnneiv9P8BuHon4iS2AE2 /GdZMBecOwhDb6QmZvM54EpVySjdOQRiSjdV/mj9haInelfoa4ehbFe4xtW9 f0G/71Ka67ZhCLSM20Yz/QsBda8n3+oNg0DYFwNr578g33v/5qTtMMzMj5xt fPoXikWdmr8+GIbhVvPkaoFRUFXwaF46PQyV0Spr8itHYdLNSSs2fQSCMzU3 nmgehYeS2sdzckdgX4329vneUdgcUxtXWTYCxSI2+3ctjMJYiafV5/YRyLkY du7LxjEQuxzelSnKhndHeK8/RI6BUkio3QEbNtyTqlj7/OQ4aNhm+X4aZ0PW NtrHQ27jcEFY8a3hPzb02LrD3JVxeHzv1kSlMAd2vqMesYgah/gOmfSQFRwY 2G/zn0TVOKTwssT493BAN4Bd7btzAu4vaS4vvsEBtzdgpbJ/AhYssii8YA7E /gzvqT86Ae7ulkJyDznwl7GVp+E5Ae1a/PWSLzgQl3NVuS95AvjK0d2JAg5w JyW9TWUn4fTFCErgLAdYNPuFBdYkTG+sTDQVwHBILzPo3cZJqI+7Er5YFEPS A8u4xUaT8O+bu8MGWQymGs9L8wImgdr294K7BoarR8dNXMIngftxjXHgFgyv /9vbuiJ+Eg5mbD0euBMDX+XgX6/sSag9MvtP2wDDO8dN8mqjk3CqxLP05XEM TfdvJjbNT0KxeViq8CkMiz43qAeKT0GWX/szY0cMVkJXdDtVpqBLWP/hE08M ixOKXKJsp0B+n/x+5UAMm8uXTeu5TMEvt3ja92AMtn/PXh/znYKtkeu7re5j +LhHPNLo0RRcF3Xati0ag33LEUKwcgrUvW7n/U7GIPa40/V88xRsinyZ8jkF Q7qVm+Kfvil4Kz1pdPUDBsHft32z+aeh72Lqs7LPGBKbsjef3zYNba8u6Zl8 w2AYbdDVrjcNQzpTQVfKMExY1IcZmk4DzOa736/AsLeRzVZxnYa3q8opXj8x 9P1iJrcnkOstDfLa0Irh3qN3Rw0/TEOEttHlV+0YtprvEMrOnQYb88sSizsx 3K43s3/UNA0qN57W3urFsCGiQ0qwbxrolb8XEvpJ/cxcCY/xaVhxTDLt9SAG 1bpARcOlXBCKG3l0gY2h5gG1IkuBC8OBrcVbMQYf02e+Kmu4YOhywq37LwYm Zb3qo61ciFExDPcdw1D+M6tBQI8Lxzuj1vPGMXiG69/yMOFC2yNdXftJDPIm dZvbbblgq324NnMKg1PNSFiWLxe83MJsZHkYKGG+oHKbCw8HvlmsmsGQbSzM iYjgQvGBk5W0WVJ/yYdPBBK4YBR+MnuB5CXVjIMe77lw/kupUsUchsx7Kby2 HC5czIkU8P+HwebQ9uSD37nwLKbKhj5P+mNpydGsRi5oGnpseElyyg9TIZVe LnjX+P0nt4DhSOifjIgxLrxWntT1JHnO0MVegI8HMvA74BPJieI8KQ8JHswo rd/dQ7JR5S2iTZ4Hz0o57rMkT4VQ3A6q8uDgOqbiHMlxB+MVs7bwAAwLtftI 1l+yrmK1Lg8KWA0dWSRzvn/xjThMrv/ehneR5MjgvaoCtjy4OnQ0hEbyngO1 De7OPNCr/Rb5jjxvn+iJW20+PHht/0ZBheT75cObDwbyYCxKSD6YjFcryKfr y0MenHJrCm8g9ejYJxS++jkPdLpYAeIk31n8ACJSeVCHB9hqpH4byugc/hwe WD1UrdUk9W66/faJezkPFMu7NVTIfPgbaB1sa+CBTaiCiCCX9IfIN96BHh7Y tdZYlJH5qykxSf4yygO39EXKl8j8+gS2H129wIOyJV/OSE6Q/tB3FooQn4GM nmHlcNIf57/dtHdXmYEnf1pETUg/0Xv0hac2z4DR5y8rU0m/VQiIvvFDM7B6 5nPy9DCGVSh0NOjYDJgZVo0bD2CotTV+JOUwA6rPc/Ns+zBc+096e5QnySPX Zo71YGjOfuSfGDIDH/D6ymUdGAKbLVaqRc9AFnv0TEMbWe/cFWVpiTMw6rLd J6AFQ+iWOEkidwYmfAWXvmjAoP3hZVwznoGTjy00uWT9caocdU7OzQCfx5Iy xXIMj9lr+/oWz0JTy4vu9SUYJte+Xz+hNAubF23OXpZP9q+kzzlLj8zCu9Nx 8nPpGI4W+558dHIWVucfYN16T/aD7p2LFF1noa1sV9HMWwzHmfkH1wTOgpRr Qs3bRAzSj8t+636Zhcc/DCxWPcKQlxV89XvxLKidnDSmhmNwbjJUNvk5C4Kf 9mP2XQzflv08Zzs0C/e2Rq05dxODb1gz10dxDtZaxhReIvtd560h2VT/OUhP 5M+YPkD2i8SUbM3QOciwddqWthfDziI3268xc5CkIBFugTA84htPKkufg1t+ UOdE9uP9V2Y1u3vm4Axbcv4tHUOah7jZ8v3/gLqKqfuEzYHKWKrvu6P/IGQ+ 0S66jwN9xfLxOqf/wc/wtD1X/3BAfsWaYZdr/+Ccaq2ByE8O3CzYG1Dw8R8Y D+jQJTM4cJRyLcNJeR4kDM4rznhywGNXYPOCxjxoLS5zinDiQLBD6ELE7nlY 676ndLk9B4jsxwcJy3kojj5U+ucwB1RPfemm3p+H5Hnrd2fXc2AmY5SaOzsP TE1VmzNdbJBp5243FV2A9DP+wy+a2KC+mO9kv+wCxO0Tm6usYsMpm6Up0psW IPnVpdz2bDZULlLTc3BcACu35SH8D9gQZ37aS/LXAqjudn9yYBcbnl9xHtpg wYd2a7Wfol8fgQ35otzbx/lQXUNo4z3vEchflCz05xQfKjn7zYV9bgQ6QnuY oR586O0+V3lv0xGgPztuMRjEh1KOCx97rzwCscXGxc9z+NCie2GyDcQwPJDQ jKMo8yPxN0MayuwhuBE/ZzIxwo/6QLYudBl5L9vw5bzaOD+KruYPlRUeBHrB hXB7Hj/q1H6+NmxqALK7hmpqhARQq9xGzaONAzC2qtn4HV0AiZpu9VGPHgD7 lI9GDocFkKd4udFyuQHQznLb35QhgFzWrmhbLtYPfHUdKOeyINKy0XCWLO2B 1V4OPkfWCqGzwxfP7PBqh57JqKNLcoWRukrFYHx7LRzodfrvwfnFKKWL9Zwh /AkO9YSp0eliiMsu0uW5E8RQkb1/2bslaOONuPpa4XpCXbqBpntCAl3fYD5U sq6D6Avtu/HojATi/fa7+FCng3gqNt3f7yyBkv62NplbdhDii5an3/WRQLUn BUe+BnQQQ1PH9BvCJdATJ5n2Jb87iKTWNrdzxRJI5Vf8jfc3OwnF5F7i/pql aHmYkuWbn12EGEzatY4vRbk78v2iDHoJH23VxZ9mliKc8tlf2KaX6NO1Tr3P L4k8JmTbz3j0EoX7CmZ0JCXRumut5yaje4nLpqEPX68luU9D5ehgLzF8ZtW3 i3aSyFLSWl/6dh9ReddcVbpaEm0zbpES+dRP7Lh/p2rolyQ66dX+63RZP5Ec /tWruFUSWY3sUkv73U/cjFQquDQkiYIb3MyWLfQT9JqpdVhACu15Zr1BzGCA aGgu/GZOl0KaLvy1sXUDhAHbalrZXAoZH6m3+9c+SMTJBNRds5RCL2207Mo5 g8TEzrfvW62lkDs9SyRgfpB4Fjx7NtJeCqVQtysRtCFiRuVJk6iHFJp8beh4 zHqISLFvy/obLIWWp4ZbSNQNEVJNJ/zy8qXQH0txbbXMYcJh4balQrEU8mcG WUcXDBM5qz9o+pRKofGK0w2jVcPEOW8+9sYqKRRPtSs+NzhMFFKeH09qkUIB rzpOudBGCC+jrj13p6RQ2cPU8szrI0RT4Wl+q3XS6HhwYOKKnWzir/Zv+f80 pBHn+OJlBnvZhEiBseazTdKI0P8eaG/MJrYSO872aUkjWdlJs1On2ETEV6kf nnulkUTblvaQYDZhnJkTHWIrjZQ3tc15/mITDps3pafaSSO5ZIEL/7Wziavp ryp+npZG8sq2N7372UTKhwfzcs7SSDeE4aDOYxNi7xxPJ16SRqekX70oVOAQ JUkyG3LDyP364ic9jnOI9pXB+zseSqOLw3ajpmc4xOSLBXvBKGk0HT27W9mV Q6xMGHq0/6k0OmdO/3zHj0PciMuf/fVaGm3bPPfSK5ZD7IlyKeUUSqPCK3+d i2s5xFHZrg7pEmkkYnrOwLeZQ7g+spjRLJdGgV7WaxQ6OMSThzrrr1RLoz0i MpxVbA4xc3/5Q5FWaZShk8Y9KoyJj3eKbZmT0ojeJrSbtQUTyQcqlt/mSqO7 aqauijsxESteW8uelUbzh3eILCBM+If90f8qQEGDsSud/A0xYRg9o35UioIi /Q/dvWCPCbDiH8yhUhC71eH157OY2KS4+AVLjoK2LkqW6XXBhNyzZXKjNAqK WT9cOnsRE12vNiyEqFGQo7a99vJgTPw6ty1rTJ2CFA+mur+8h4kytT0Xjm2i oHTqhxraQ0y8e3+wf/V2CrpsrUAre4wJn88O1QX6FKSvcPWaWAomnH1dg1QP UFDV+TPdne8xYbvTS/e+EQWpXLlvm5CBCV3i+mebIxSkwxy7256NiaWlT+Kn 7SioW/TPOd0yTPAHvThme4aCPhqWq5yqwMTEgTfUb44UZLA1oNO5ChPNVZ9v P3CnoDepf3Zr1WOiMixPm+dJQcyKve2zDZjIM/02e+IiBRW7GnslN2MisaHW ff1/5Hy5sv9y2jERFd28JsKfgsZue2FWJyaCrTq6ZwIoyOcwmHl1Y8K9nW1R FkxBB3LesKv7MWH/bEJa4x4FPS27o9wyiIkj9rMVj8IpaNfCwt7qYUzs6FuM TkVTkFuuprknxsT6ZMmZ8scUJJyqAUqjmGA6yWZuiKcgXuwemawxTFDW0dyi EiioXMu/bvsEJoQ4LNX5JAqa2Un1ezGJCe77tV2nX1OQ9DFZiakpTAyd3/ik IoWC7usl39rIxUTbZq2jmz6Q89P7e8x5mKiZ3CMVk0FB9Zbja07NYKLo897v C58o6PnQoNmxWUx88jW86ZBNQb2KQ3Zac6S/dprt+ZFLQaxEihnfP0w8/neM u7mAgv5o3lidRvI94mR6bDEFPQmwaDkwT/rt+lkX/jIKatdL8/hB8gVdt9WO FRS0Zn1qr9YCJhyEvDuqqiiIj7xwhZIszyhvnP1J+nNSl1pKcpUWrVr1FwXF 8g8UjJB8w/R8iXkT+fzjc715kre6fMu90UJBqZlZseT9mhi6teLj+3YKIuJ9 isj7NxEX75rS2knma7lKHnmfJkyzCl6I9lIQo1Ai+DLJwnXLHm8doCCF3d6r VUjOHjn34NQw+X+1lw8I8rxuwnlBYRwKEt0w+EOXZGUm5XruKAVdWtHXmEHG 27DdwWdogoL8x5PTJEkONst2l+OSekmE21iQeu1xXXpWb5aC7L/8aw4m9RwL tLc9P09BX3QOqb0h9U569sk8jp+KkuY6TT6S+bDMFjOqWERFg1uWG6eQ+RKv t9XjilAR2nN45f1pTHiJiGw2XUpFa2Z1bJaT+VZVsl57TZqKtIxzCvLGMdG6 471SigwVWaRlLjIh/aLnZiElrEBF+e3xqttJf3FvvxXZTKeiO/tNxO+zMZHy fGH+hBIVWfMv1NaQfpT59YqdpUJFzKjKpcsHMNGzk/vdVZOKFqhPHT7+wUS0 uWFh7DYqEnj29I5TG9k/3J9lle6gIpHpiOglLZjITNiXrKRNRdS9vbelyXq6 KRpz65cRFUnJ+35fR9ajFovtJ2BCRYKfn9zQJut1ZJe2l8YRKsJP0jbrfCPr w2PQPsiKit7dWBcoQmBiZeN2tPssFcW71VES0jDR9Dd0m5MTGa8454tsKibu inWpR7mS8XlM2F96Q9b77mDa6AUqevxDu2wuARPFib9nEv2pSLxnp/Jysv+c 8rzyUTyWiv7OZfFFuJP+2dT+cc1TKor6Zn2lywkTYmPok/4zKpqIfIZpDpj4 cF74s/9LKvL0PvvT2gYTcx7hXybSqShGfFvNuAEmIt1ffW2toKKROT3XKAVM nNMQy+FVkfGg8fFPyzCxC7vkyNaS+8s8SiqSxES326bcw01UtDZIJDJREBMb 3HLzinuoyCBhkv/WEIcod6krSPlHsp7YoaJMsv+v21pYzieDLA4tbPr8jkN4 jEQX9gnKoOwH0zeiX3IIWRfbIqaYDFIYfXGRFc0h7J0HiyNkZdBhSoWG9WUO MXduodRPQwaBxUG+ozs5hMZZtSpDOxlUlsbpi3nPJtrPMdzfnZZBKte+fPRJ YhN3XahSSx1l0FpZk5M6j9nE4PlZk2o38nljkmNkIJt44Vfxy8RPBkUzOlg6 NmxC7oFz29EoGTQa91bzvSCbWMh5O3Lyhwy6p9xtIKc7QqQS8aEFNTJorGkz 9+TWEcKm8KG6cr0Mypm1CopcM0JklV7x6P4tg2S3WXt/kxwhLtQenDgzIIOM jzkFbm4ZJvr7h2edBJehUQ6PfsxtmKimrFvivX0ZOvxqf+7SwCGyvlwHH+9a hsw6xnWHLw0RqaWppYWwDNGkjI59PjdE3PPbeFNKfxniQoQ53WiIMOzb+u+t 6TIkdWT9Y1XqEPE9Sxt3OS9DAf17w7Y+GSS+nbSoOxy3DNUEs6t9EwaIr6k3 Hq8TlEVCJSeg6HofIWxoLh8lLIskjjT9M3LrI0wGVWL4xWRRzt5PtmVWfUQ/ 60dkg5Qsom+U3XN3cx9BjZF74E8n5/f4zJj09BLOASl36rfLokV3tgZ06fQS CpYN3n4esmgDsfL19Ylu4gr/2sOVbbKIT5lrL7e+kxBrvbzPLVMOzU8Yrjp5 vIHofakUEe+3HB3cNdnrH1FMRKiuWJRlvgJV0UajBVtfQ1isQ6kdUx5JcKrd TXyrwSrieJV4vzyK21a1ocOhBbh6Sbz4PAWUn5etvuR8N/h9jQ8oLlBAb3Zw jv+72Q18m2IlBosVUNTkq+vd0d0gwrivtKlCAR2xs78Ykt8Nsjyf/cWNCuhp XEfhPske2PzOMGbgrwLyU3K3cHvTA27LJrQ2shSR7YfTf6Uae2EshFNovloR eYmKHnEa7AVvgUHDy2sU0fEAJY1Ps73gh9tOFmkooo+HQpirmH0QUl56x3yX Ilp1cX+hrWMfJP/3uMnXXBGlPH0dvm2qD7p7dXwKbyuiiH/fOjeLDIBOfFXC 2hBFJEiMmaitGIBnllY/HtxTRCP3hfWk1QbAtuK88qlHisjMlHMx+dAA/P7w rFLwhSJiO8i+EHg0ALVX5pl78xTRO6OKm9b0QSiUzi4vnVBEPejRFkPWEChV 7J3Q4Coi+x7xZXObhsD/5k969KwiciasxqN1hmDP9MAFRwEamvcc9ouxG4Ls Vjm6qBQNndrAfykzbgjSX3l7HlCjocItj3gGy4YhYfdGhR92NKSStvRS3Pgw FB4SC5g9TUObO4oe8haGoetE99AaRxrab/V1Tkd8BFg3HmUHutHQNqbFw2cr RyCxhHcMXaEhh9shY7eOjECScWF0RgQNsdZvvTD2YQRKTj7m64qioUOrS8LV c0ag77yXo9RjGtqz5u1Vy9IRWB2xWsv1OQ1J3vR64902Ai+bghtXp9JQCUX4 cf1iNiTbmcnGlpLx5G1wZNiwocxz3dWy7zQk1Cx3dYsDGwYChPqmftDQvpYj 81oebFB9+fmjWT0NKdXUrFx8kw2vhxTMJTpp6BxfrVXJGza8udDz0H+GhtKS hMZzJtjw7pa39Nn1dFRVUtV39jIHRnYdv3FrAx31PLAe5V7nwLoJvfEXm+no cZKNx6UgDryxl/nVsZ2O5Cu3f90VzYFkyIi20qcjIas6qYFMDiTy/jIOnaAj pi2NkTfEgZ4PTWEu9uR6HZ+vrxzlAMsxnz/kDB2pnSBkfaY5kNBwv7vUmY5u XnlY2ieIIT5D/ZW2Dx1x3ItqOhUwxLq6qG8Jp6Nt7/t6DuzD8HvlkXizCDrK t1Tyv2GEYUXrTinPKDrSSAla+soUQ/SBJWOpT+moPih19pMNhkcqbz6qvqGj 8PeNDaPuGOrbw1cbvKOjL9uWVoR5YZCJ9I0684GOulsWP1P0xfBg0X7fhE90 dDhtWffMdQxhnf27FIvoaJShGPrzAYaa6Op3O0roKFpOwKAxEoPk4c/0Y+V0 ZPNUp7o8FsO9vEC+yGo6Mrsbp+2dgOHu41XFkq10dOT2YdfeDxgqTSW2qP+h I8trMcdMMjEsEZtMMuyio8hLdfxvPmMI9im+HTRAnv95r59SHobb5qcOCk7S UbqLdJvqdwwJxq02Z7h0tCZkf8LWHxhy9pu7lc7SEW36w8v1NRjGdhuEhwgw 0DFsZNf4C4O4Vn4CW4iB7kW9kA5uwqCyaXumsSgDMb45Tq5qwWCzWq2RKsVA FoJWB1Z0YLjETBzwpjKQiQE33aOL1EOeNtMoy0AJV1m6aT0YSpdK0p7QGEhj 3Y5m9gCGrsV31OeZDNR+JL19cAjDnAA/OrmSgcp+1YhVj2DYND1mv1KNgTT3 yjcc+YvBaNTZK1CdgVT7fnpNjmJwHO65NbCRgXbp7d9+bRzDjd7jUQe2MNDr L/qssQkMT/80JKdokfwkbNOhKQxfmo2zl+5iIK/9bIeH0xhq68oqPICBdJez 8gu4GNg/tNtqdRjosD13dzMPw+KybI6mPgPV+W/uaJ7BwCrczBe1n4GEf8S+ LJrFsCcnRZpnyEDKzybCIucwWH5axbI+zEAnzETiTf9huPAhTjPXjEG+r2Jq pkm+90ZOn2HBQCsJj1WB8xiSE8MsrlsxEG3tkaf/SC6KEz3XfZyBFH+Latku YGiPvnF5rx0DWataTr4imfdgNuTVaQaSdhP69ZtkmVCvp6KODOS7qKlhimT1 2+xUZ2cGqtCLnPn/9+n91x3yf7gxkPYdYTRE8ukrf35qeDIQVRW/LCD5qrdl d7g3A135T1bjBskx7j8nxn0YKK1Tp0mN5MxzB4SP+jEQfrcjIY88X/WpIrkv 1xjIbWfx3R0kDx3ftUY+gIHOdidFxZPxLbL8uMMvkFx/IamQTerBMFU3bA9i oLf9wRKrSN5h+Oo4CiXnT8n77CX1O6LPdE8IY6CAm4oCxqS+7ijGf1EEA20Z Nn+rTeofvIPywCGKgT4HhF6gkflJ0gx5URZL5utVkFUXmc989UUf18YxEOW9 1MmwSQyTylONnERSr5qmb6/GMEjR3AcPJzOQwZOXq6RJv6yVG5hJf8tAVmnL X5zCGE4u+U27lM5AvZ22U0XDGC4LmWk0f2SgSVWfqp+DZP0vVKCdWQxkfE+m vKwfw/fx3FMLBANFmqzc6NmNYUvr89e3fzCQjhihkNFM7qfuyH1fw0Bs0wcX tBoxjFxTN2iqY6Al82oTr+sxJLK+9qj+ZqDxvi4fk2oyf871jO99DBQ8llaT XoThb06s29ggA03tXvI+Jp+s96V2ufJsBvIsDClzycVwM51t5TzOQH2dmz41 fsIw4yd4UJiPibrOueTkJ2MYSHLwjOVnohEX00zRJAwNVeUx6oJM9PxaPm/P cwzpzLCBo8JMZA1nLrrFYHAqVgx8Jc5E6+VWXuq8g6F5ydaCfSuY6PDzpTEr TmMo0YwZaJVnIvVNyv+pniD9cHxO8rwiEw1fu1bHsiL72/tC2xgGE1nlGnT8 Mcawz8x4bnAVE6m9t8t23UHWW6zjtpBNTPR48FhT1xIML4sqbBmaTPSiqX1d thCGiBH1wIwtTHTIT2nt1QUOeOyZrG/RYqIah4KNlWMcUO267rkOmEjbNZLn 38SB6DWP3/04yETjZ4bumjzjwMS4flKAERPZOV1WtSDfJ8Z5Y0+2GzNR/Xyp g34YB4TNDtxNMiXP153Q3XmNA95+PKf/jjGR/sidQAlbDphWW6iuP8tE1+88 S98ly4HUGEFmtyMTvRpsPfBHnAOip9/LxTgxkbHoeK+zIAfyucIiQm5MlH4/ Y5fuXzZoKH/qbfViIlWxzzLDZWwQ95Z5cfcGE1399Yi38iIbHCE/VucmE301 mitwcmZDkajLA+4tJgre3rUQe5INl+OKrp8OYiK6Dl7IPsCGwVLPk7vCmOjJ uN2SGRobSuR/0kaeMtGVr/uU/fJH4Fp+aPTBLCb6xaP0Vk0Ow1BbfgQvm4kC DPepZQwMw9HZ8bBXOUzUd7m4IKBlGNZttQoSzCf3K3TkH8ofhqa3qy9/LSHz aa/3pSJ4GDZFEdZq9UzUo1RWMCw/DH2uo/QlmIn+KznxdGDdEBgpmCd9X6mE pqeVhUB+AKJ71POtVyuhW2enxbJFB6Dn3eKWERUllCGTabSa1w9+KEdKUk0J GY0yP9Y29kPKGZaf2UYlpKl5eodfRD+IfRg1bd2thHL7XB4qLOmHUr17fJyj Smjl+rOrG9m9oO1Wai0dpIRmGmKzk0K6IV7RfmXlpBJyiKnhwZ0WWFn0KvKQ tTJq72Rkz26vhrD1hWtr85TRp4xcKnr1BhzGF/0sX8tCB58Va/rtLibs08aY QfdZaPfxeucYgwbC5YbZ3IFwFgqtqW4x8GsgvM0yG8UfshBfQz2n50MDcWfS +15YJAvVxPZZDq1oJFK382ajnrLQocTbX2nDjQSvYKHh5VsW4r//Pl8wuJkI qxUPLS5lke+XKssvX1qJ2BeujoHlLLTm2bG37KFW4oVXle6+Chby5cYki9Pa iE+yYTMVVSy0+pemkMj1NqLViupY94uFrjdmLh00aCdUulfodnWz0D7ftf7a P/8QGzIv0xN7WUhI982PBb4OYsetFt6Zfhbayki7brqigzBUefphcIiFWFzB B7X7OwhPZyZ9dJSFdO8c1N/5poPw23Wdlz7OQlbRc75bCjuIWxJd9V6TLNSV M5+r/LuDiH7/IoTLZaGWrl61BtFOIsF/0dnsGRaazdDZ8ESpk3hrckbHb46F hrU6eEe2dxKZyiW0PfMsFHZsxpvPpJPIG1/NW1hgoap/leFxjp3E/wAox+PR "]]}, Annotation[#, "Charting`Private`Tag$17330#3"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->{{16.153061224489797`, 1.4999999999999432`}, { 7.500000000000057, 6.5}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0., 9.999999795918367}, {-1., 1.}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, Ticks->{Automatic, Automatic}], {151.5956455175837, -93.84948479861528}, ImageScaled[{0.5, 0.5}], {284.24183534546944, 178.76092342593387}], InsetBox[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13c8lV8YAHCj/ET23i6ikIaWivOgrKSyiqSirCQqKmkiIpKUFQ1aFCVR kmOVkU0SUva+l2vv33n/4fP93PuO86xzLs3hjPlJNhYWlizyh/qfcNWBY8OJ UB3HyrTLCqGZecX18qYH5V2RdqBx8M3PkXjpe56/vPwl1L/LSO1P3DOckB8m t1z+NsrhlPzmYZ+B3bW9T0/JxaKd/2RWbuwrwPVzLlEjcq9R+Vj49sDltdin RHY9430Kyl1e1v1huhZL3m/4Maz/Bun4J8an9tVhB1VgH3ROR7GPMqMlcAO+ +Ib7M/NXBuoJ2b6q3aAJ/9fSoTIs9xmdSGzd7FzWhpvyv3oP9X1GfPY7eKTD /uKUFzFFg+9zkOpcTCavyj9sdtbs6IB+LnLoEcgQ6PqHH67IedjrjNHAlnG1 W2YdWPBRKdvor0J0+4wnn2lfF57jzXrtubMI9RZciNi5pRt33UjaP/KkCG1m nYnl9u/GWc5XExmuxShyq4y6uUQPttXctJ0+9w25V58daN7Wi5+WP/YalCtD 2cEfXAMN+vF4zEfVv3fK0NH+xpOM4H5s4Pyjs26mDC0TDhTTKe/HQ+xTVjn1 5Sgz+WhPtPEA3qZttv12UAXCKftfP9oxiEO5T4z5jVcgZ/cyljDvQdz2+9Ib z+OVSOPgL+MraYM4wOe57KEdVejZ3X57N5khXJM+z6bCqEYrZXmOVDGGsCBa Yc+jUYMu0h9dFFUYxjuUo7YHnahBN+ev+1ywGMbh46/HfGtrkGDwlMvdD8N4 072fJx1Sa5HTYV9rJ1c6vlaubrLhaD0C1gsfVqUx8Kv32cqpD+rR1b53F/fU M3BdjB77qop6FHyl/ObHKQZWcj6UK67VgGT022TWy43gcvYADRahn8j53New lOMjeHyAl9vX+CcSj+8Y8fQawTJ1sb1j136iMv9b2zuvj2DPJ+lPeod+osHF jPLqxBEsqt0iWP29EaX15xX1NI5gUHJiGC00Iq/eMGPVrhHsyj36o1DzF1o8 9lNXYXQE5/7mCMx68guduC1Vrck1ih18Nk4l+DYhh3CZvNlto/jOka/1Yu+b UMO0zOSi/ij+uMvo3b3eJuQ8t/gEm41iTiF710DL3yj3ZAObr+MoTku/3eKu 0YxOiPe1Dd0exQOCA3dMjjejl7Kmrw9GjmIVHxOd1VHNaHzl7HhY3Ch+spP7 aedMM6rK8aYfTRnFkWV3nGy/taAo/raC1JJRXKU+LLZtugXR9D38AqtGMXfE 3jIRtVak6f6MY/3PURxgzateG9GKBNreKM22j2KfzrujhnZ/kNuf4oLzM6M4 w2Dk2aq7f1Dpp7MqvYujmPF6vyV74R/Uupr/zLplTOziKZCdp9KG5G9Nd+jz MnFyvZfLI9s2VFWXoSEgxMTtW+okfMPakNq5HfFZYkxsuxDpt3msDY2cfihy R56JHx4bWyuk/Bc1qDTpfVVi4voii78jh/4ih/Hv1aWrmdg0RFjvTd5f5B0Q Yui1nokfc//wF9j9D83oa3CL6TCxjvZlu+v2/xD+V+upqsvErR5qmxkX/qGo dUsO0ruYWLwutKci5R9Kfq/dkmDMxFnsO/GO4n9ofs/ZQxqmTGy5eSg65c8/ lOh0Yf9jMya+F2NqHMzfjiYHtB4rWTDx+vJ52tSadlT+RXJYy4qJq+bezJ7U b0fyLYLJGw4ysfvaI/UNdu3obV4bWmnDxFxHed7o+7SjoBdpW8ttmfhVxNeA jLvtaJXch4lTdkxsUHj6CO01uf/8hY7RI0zsv6qKd6mlHY1pnR1IPcbECgev 9p6eaEdLurjx33Emzg/WyG/l7UCLLPP35xyY2D6nLWbP6g50bE9myLwjE88P hnvl6Hag6Ilzil0nmDhOBpmsOdyBBBq+f884ycTb9jEUYs53IPRl2x8XJyZu vP54jiO8A0Vcs6rmcGZi74x9Dd4vO5DPxKvlYcTCXUtvuvI70NHRvL454gyR d4EWzR0o11Cx3cKFifcbHrMvHOtATX/NrR8Q0y/yb93A04lEdf4m5xPfScnn e6LcieoOv1ZsJFZt9ezjhU6UlhmzhnIpD63gik0nMiiO4ikgdka1sUNnO9F2 jkDlaGKWZ5M5LaGdSP8G2mJLHLNMurU8uROtPqzAWEG83ll34fPXTrTLViDp BXm/0jIn2deNnWhk10jSeuJj6ndQDKMTBbQ/039F1jsd/v5YEGcXsplc2cBD HDHaeMOH1oV+GAu+PE7is9py/tnJ7V1o47OHvMkkfvlZtGJLiy7U/e2K3U8S 30MSht367l1I73JqxwSJf3DbPRWFxC5U8XZV/XKSH3ndbCOB7C5ktdOibOIo E39KanVlqelCs/sdxRvtmbjPReVNG2s3mi+brnYh+b/+w7SyUrIb8fJ0Y6nD pD41ztJzNbvR0/s3xPJJ/RiN5a6PP9mNMlfHrmyzZuLXV8w/HizrRtZPOrx9 9jOx3r8LjQYd3Uhv7ShXLqnXZr2Eqc1z3ejqxT2rJkg9c3H2aQmv7UFvAtaM 6JF6d4u8klcT0YNUdvVJWpD+YJt49he/7kFBp7ztdyBSLwdLWdILe9Aa06px cW0mLpcW0g8b70F94o7TmduYWO3lqxLjQ73IbDHa02cdEw99qa8plOtDWso8 GWZSTBwgOzP6flsf6ngjfPm5OBNL35AVenqgD1ku56waFyH9a+Bqdc2/D7Va ry+5ws/Eb2sWf+/o7UOPU2fntZczsUf3ms7MtH50tcdmd+LwKP5n/5uzoKwf tW1pWr5/YBRbNAVrVHb1I7sxdbH5nlG87UfvpW7JAdR7PbNX/98oZn//nF80 aAB5PM4+Gl03imP8aDoXjg4inbJW5J01iguEJGK1+IdRBU9RtqTfKOaiBaj8 3TaCTn96GdOwfBSX7ry37uruEaRuEB/uxTaKbx1K3CpjPoKSB8vU+JdGMFvE J8PDp0ZQ2/p9d8ynR/Ds4pDzr4QR5ByyTWt4YAQPtlq9qmYbRbOvrrQG1Izg ihiVNfkVo0jcZJNccMIIDsnctOHo71FkUVTkfiZuBBvV6Gotdo+ihmUlz2yi R3Dxf3bGO5dGkW9kSt+We2Q/8Ylw/bSBiQKcheJFAkfwW8uZ1+8eMtFUQbWg y+kRHM7/Q/XpsTFUY2e0zx9G8OetMh/NPMbQC1ktnxjtEdxlfwbNXx5DLI/q Mt5vH8E73gpZHoweQ9qHFHxHNo3gPmO7KzxVY6gIKyc8XjOC9f2Hqy/tGEfa m1ULvwuN4OkJPm9z0Qn0iyuZ1b+RgRVlHJaWFCfQedl3aTm1DGy2K/P22w0T aP94RctsBQM/jzyUyLl3Amluf5QeVcTA5uueluT5TyBrHyM+jfcM/NZlo6Ta 6AQqN/ymNRnGwA4tlpi9YhKNcslwlOxlYK749tNevycRl3ywmpQJA2fYekj/ 7ZlEenp75S4YMDB7c9ClHNYppCp+2tYAMXByU46m19YpdJAv84ruBgbu+Sn/ qu3ZFLK37j39XJSBwx+8tTZ9N4W+6VwtOifEwFusti/P+TqFXiTJhBrzM3BQ g4XDg6YplCLtbMPNxcCr629Jm/JOI46h0Z29C3TsVjMU8fnSNIo580hktoeO BSMuIZWgaaQ1/unczi46ztnHQY+KmkbZZ0d+BbbTMXe13B7P9Gn0S1goem0r Hb+pNF+u0j2NvAZlNGpq6Zhe/ulS1P4ZZAEehofz6PhhyO7VbPYzyE23M5kr l451TOoaz5yaQQH/+Ubmf6bju2WDmntuzaCfy74soY90vL5Uls6aO4PmM/aa 3XlDx17fAhzOqMyi41dG2Cwf0bFslwHHpOYs2n5KOeF2HB3/YFuR4gezCEUX 3iiOoeNVEDZ622YWbSm/zW/ygI5/5zy4nhw6i9qvNkXcD6dj3XcvEn8zZtF+ 75vXJG+S961y0Ts2P4tKdVu+Pr1Ox/HDqj09nHNo5nDS37XX6HhCNX3tOG0O fTyT/cHSj45fP8/O5bWcQ7I1Lv0tPnQsEF/arP9pDp3Zn9dT7k7HeZ9DrpYX z6GsOnvrhFN0fKrJVOFA7RwKqgC98250/E2k1tV+YA6t+u/3+XUudHwp4vf0 Rel5dFh4TVSzIx0rp8c/Wlo9jxrYt2vWONBxfeURuLV5HrWLYany43S8lrsj 6L7ZPJrW+pNefpSO2wMHRNOuz6N3Ozw0Fw/TcXjym5xNYfPo7KpVp0WIdxR5 2H+JnUdgir+ut6XjByxjz0sz5hH6Yxly7hAdG1+e29TZNY8YDmvk11jR8WTs 1ybX0Xlkf+HesWOWdJz06ZrfyMI8CqJNBsZb0PHCBHvxgugCunzS2VnGnI7f e660EDdeQNajpc1m++i4Ik7o0lvrBdRNv+v80IyOe4olH+udWEBvg/6adeyl Y0mJNYPu1xYQI1yKN8iUjgMKdvsXfFxAs/zSPuwmdJw4aPraumgBtSzTXnQ3 puNPIpbVgzULKHG88lmzER0PuzpIiQ4tIJtD/xQKDenYWvDaBzeFRbTpa9/G gt107Lnz1u+ldYuoq7mo2oQ4xClsKUp7EZ0pdTJr2kXHOCd+Dz60iOJFeuoX 9em4ueuZl6XTIrrmo1kRTTzOmxLdf24RfXutensT8WrHT51CdxfR4u1pzUt6 dKwXhle8frSINm4DIRqxXfb3dTopi8j8i1BchS4d3+P+ednl2yKq1oMbGsRv Nrc+XahbRJ5GXPVdQMffj3aWRP5bRAGr9NITiWc/jAp9nVtEleOt/dLEwm3T WuYrllAZKtVqR3SswclyrFd0CfF8Sph6RWy08b9bfkpLSFY9Xfo8saMd7xuB jUvogpvZMz3iq7dE6l6gJRStW3lDmDjmnfT0jr1LaO7alcx+HTrOaFaUrbVd Qsrj7zQLiSuWqe1ycllCUe6fpxOIezQ2us15L6Gi7L55P2IWG62ICP8ltCU5 QusosaQ/ZK26t4ROsrC/2kW8+a1ha07iEqqLu6e7lnj/LzO2/W+W0KJu+JI4 sRur9eruz0vIpdik5T/iALUjZr4lS+jWiHjVjDbJt9WJ83w/l9C/KJNaOvGn a6fikjuWEPPahrYe4vrXZ/O1RpbQzuty9HZiev2lnqqFJbTthNPsX+Jl14Aj YzkLuMwenP9HLCC8K9ZvJQuYCRgMdxHLvjZUNxRigeMXbn4fJFbT2YMFJFlA /6LjjQnibfVm5q3yLNB0/r4YG3m/3S7m3S9UWEB7lsNfgNh8weqilwYL9Ih/ /KpIfDTShnvnZhbQaY8q2EbsrnIkkWMnC3x0TAjeT3wp99iGWj0WyHn3beUp 4lsHThTHG7NAYdMyo2DiqB7ng077WUBr6MCmV8RPL58aWH+QBULmkn6UE6/P XzEddIQF9nSmXxomzl/2avlfRxaYrmnwFCT5/BfWJR/myQKdNd+UHYk9625q dPmwgN8QbgknXhKl7dxxhQVK5Nd9zyWWfXLkYP9tFlDoKVWRI/WV1jV3AiJY 4N512gMLYu01cWejH7KAl8EepRBiu4zGsN1JLLDJ2SNqgTiueF/x01wWMFxh orlA6ll1Bb12upAFLHCgih6p/8977/zdV0bi1Toudpu4qbF0duEnC8imMVqk Sf+I9utusGWQ9bn1eR8m/fdi7T+d9xMs0Mi3vzadePPZq6ac8yww1cFYzkH6 1XIuxzmLkxU2+tj2ZxNH8mxKFFRghVJOd9kNpN8VzOtSXVezAvfPVWX3id8/ 9Pycr8EKwg+lVaeJa+TeNnjsYAUWW/2Fb2Re8G5U5v5hyQoVkOjhTeZLiLX4 Rf8gVoiU5Z6TI/NJMj4rsDmMfN/GXuIR8eu/lvc3RLGCR0rWWwkyz0pd7qX9 fcIKjSXCayT20zHHZa7uHTmskOzYvLiazL+bj+cPjA+xgur9kLJga1L/6z95 qY2xwnoblXixgyT+BefuOcywgmCWV9xL4pyOgZqa5WwgWe0j8oPMX+aq3/ve yrJB8Sex53JkXju8+bjXaT8bnED2rvNkvut+9jBu+sAGXq7r3nuQ/YOl/h/k +rKDxo0ngbE3SD/15z31vcEOM1cqjE+T/WwFSwKbVjA77OM5+FTXn+zna22K Pz5gh/PWeYuDAWR/DKo1TH/HDpavs1QMg+nYZEeh2bMecr9/8z3Cd+n4flKS XbD5Moj+vUSbJ/ut8nmni5aqy+Gxx+a/vmS/7pqItub+ygE8DM3Os3Ryfbfb lUgvTkgT7d/9TZGcl7oi1GRluYBt95xJ2AEGrlDrarBT4gKx9qMnVc0ZeM+5 rVfjVbngzeX/JEqIjdjaasS3coFkqbbpkgUD68mr+Qjt54IEvYkON2sG3mz3 LZ/zJhe4t7P/0jjMwNINM1Zj3VzA2w7L3U4w8ECRw/XSt9yw+3FgYro3A8vd a3ILz+SG3Cz6OR0fBra0N7Oy/MINzfXPGiqI86a1VP+VcoOw9eltfRcYOHKt QMNUJzfsmRcKk/Bl4B3RWEVFciWo7ToW5HSVge+4SVcH3loJFxz+DKfcYmAN gUYZ/aM8sH5v8Jq+B+Q8FtZz88FJHvCTUQ+weMjACVxTvb2neEDH9IF/HvHK ZeIZdy7ygPfFc173o8n7TtoYNN7jgWTmdV6tWHKebP3j4VrMAxdeMHzOPSLr e9WN767hBZHoY3tfPGPgBqVJpY51vDDTmvOII4mBQ59yhGzawgsRywcfOhHP xqlY/tbjBfHhmDurkhm4Kcy1T8GOFxJi824+fs7A988N82eF88J0UOV3/1fk /IkmjreO8UL4jXFBvjQGvqi7mjNrlhcap4/sdSfu0T+cdpeVD/LBQq2MuNCo YFaPjw+M9g7U3UhnYF/zsPuvVfkg5PmKJvo7Bh48ueqbz3E+YGT+N579geT7 jtVqgWo+yDzaoMf5mYG33w2uGvjJBz/TJM7YEr+69+V8cSsfGK/fbPiGOOAh reDCAPEkc84sh4FlaybVGWz8sDbiydWILwzc+Lvwm5UsP0Rw+NGW5TGw4bDt lIIVP+w5OP4svZCBE4X9668d4gd+Tu6Lk8TjO1LTWw/zw76xanZtcj5/EjLn /NCBHzxbbKCMeFblUdMKT34ItZG2bCtm4DcOfz6PhPCDcgO/5Nx3BuZvOuqX l88PhcnHv7D8YGCnpaBDUsX8YBBn81uHOFf53aaLJfwg8MHxox+xqzfL8IYq flgKiX01RVwo+PTI8xZ+qL08e2OA/F44v7dD584kP7SmfthYXEXyU3iC1VZd APgqjvIY1zHwiG6z5JV1AnBT+L9Pl4n/K9i36clGATi/znZdGvEWvN25Z5sA mPNkBQjWM3DUF/7Ks7sFgJ6rWN1EvC8zNybUXgCSLOJX2P1k4O/Phdd/jRCA Owd0duo0MXCbUojxv/sCsPURZ40b8UTSkgN7tADEGVVvjiZWejbwwDhBAPSY kxcYxDcT8+d+vhaAUymqLQm/GVgn2r2EXigAiXyrgNnMwB+Di+3lJwSArdog 1vcPyafJD/GgaQEQ7Q1lf04ct7KubnhOADxnArWria9H/DX4wiYI1wsO0RTb GNg0ZlbDml8QbKqy3pYSd7xcvxSqJgi8A1Vs3P8YmLfk0eOp44LgPl/UebqD gVlvJ9nYnxQElagjjyOJx01ShL65CMLBjU7rs4l/V2UHRZ4RBPv3XvVLxMmN dWfWXhGEmGUaCnc7Sf31cIJjjCD8spTlfNFF8rnc+19VlSAEmCsoZPUwsKRc 2a+5WkHYy1FUXE9ctU2mevVPQVAOrzMYJd7i/u3rzRZBUJ380q/Wy8Ac9SLx W/oE4aH6mrTHxM+fZFklsgqBnN2E6Y0+Bu7aMV1+epMQ0O6a5q0dYOAYK9PC uK1CEKscHGpIbHrmyeeS7UJQ0My98zhx5jOjVzRdIRBacdgwijhgRWzgz71C IBWmxDVDrPRLC7SdheBMWvGhr4MM7Hj28seVcUJwTFP7z4Zh8n4b2z6uSRCC JpH5JkNiLiZkGTwRAvPhC7lHiN95cWRffyEE021sO24Tz3ve+zSeIQS+t4bE /xI/PPPyS+sPIdDO2OV+i87AZe71BW8WhOBlS5ZgMYOBH6lvKSxjEQa2Zw0b fxF7DsUU9rALw1XfSO0BYlF3+yJ5LmEI+GYixD9Cfu+e6i+OEhWG34c2F9oS z7sulfitEwZvx48wRLzOWa3K9LgwVCwpmrEwSX26yp15e0IY6oQsLASJ77gL 8fO6CEPKJlc9JeJ+r7kD1R7CoPf7fZshcZLfj58H/IRB0ipIMJxYLPLUH+to YdA+tvaq6BgDL+WmDh2rFIa8Tbu5xccZOA0/DiuoEYaeV81+KsR2hfc1FBqE Ydfs7pYtxJ9LLnt2NguDpe6EvRXxubo94yf7hMHks1jAPeLe3sE5N3YRqBC5 cIhjgoGrBdW5vbVEIOUBs6CDWOf06f74nSKQSh8RZRCnlaSVFCIR8Cy7d2SO ONxvQwC/gQi4PBjHQpMk/z1bFlLNRaDham2zPnH5Z11GxykRKLO67v2U+Nux g/X7E0UgbrlnkvkUA2/6EvP+wlMRYG1/YnSEOFmk+W5isgjwlUC7M3FAuZ3p UIoI6O76b9iPWG+Tw7egbBHImNX1fEGc/9/p7LwaEeAV5dg4Rfwl7Wa8Orso XDZcXBYxTerZ1EoymkMUEnRSp2KJD/SrxLJyiQKHdMifJOJexcqHjfyi8HeD uH82sVCsWOR1WVEIceDf2kZ8yv9NcIOWKBx4vHvfmhkGljrU6O3nKQoSRa4v s4idJl6N95wTBb3xXGlM/D7y8rkDF0ShzFQsqITYsFLeS/mqKAhLS+9oIj6n d8q9JlQUYipYFGaIf6izOCq9FIXD685PbZtl4Musqvsr/ojCoa23hN8T9+zi blJuFwUs763wiXh/8NDRG12iYJe+TwUTK/Gln9kyKAqTzWMilcQV0pvuPpkW BZr+2uA+YtltOlXnhcRggyB3ucwcmd8e5qYyxmKQyvGE/yaxeoZmwwVTMZDR sRQIJn44IWxXt08MpLbt4QonPuX361SQtRhs4VbqjiUWDrELHXUUgxrzc+g9 sdNzp/JvV8VAMFwivI2Yq9XXyCNTDE7189RozpP+vfCa5262GHBs2xq5jfi4 YFNdeo4YiKo8MNMm/mS0+chovhiYT3NlGRA7fWR4na8UgzOdz8CGuCD8RLxv jxg8+vrS5Mo8tZ+b0W+Ji4N9/u9jBcTJrX4fXkqJg+/KZz7fiKsvpF4slRWH /VfcgsqIldM42blWiUOqoGBcLXG9ZJFY2AZxiGMeDGgn1hjfqnvfRBz6cxK8 WBYYuPsFLeqxnzic5eJu3E48FNA+w35dHLo1VZ7pEDMdnh518Sef7yENTMwi R1PbECIOlm+0+4yJJaPlCwujxWHLioaUQ8T7g+RGujPEIclg0tCbONdZxlS9 Xxyc8Z0VqcRFu/+8jxgSh3/NDSiNuFwxQWyCIQ6sIj+83hP/+ivd+XVSHF5M /CrNpp5/UNp33zIJ4Gjh2VVMvNpI6tVZOQkYLv96rpU4arXEss9WErAxsbxt xSKZB/bKLzsPSUDYyVPOK4mVojRNeO0k4PmntiFe4sylvRGODhKwrMGELkTc 0HhTmveMBPyXEPtDhlgocGiTY7AEZJ8QG1tPHNmOT/J8kYDN64p4rIhtxSo5 t+VJQI2s89aDxAp7m1MdCiTgzRpTexvijE/jo9klEiDi2Jt0hLju7pqrDg0S YKJQxOtELKBz/2H2sASU5Ik4+RBHxDmVHJeXhMrjzI0PiC/43DznpygJXb6L rNHE9uaJctHKktDkV1YVQ6zO1XihQl0Sjhx4cfwRcdml3au3aklCTWOBexIx m43S7ZXmkiCt+FHyPbG3WIdJtr8kPEeaveVUfMYWJmtvSYKc9NLZCuJd1RJJ Q7cl4cy95vlKYsGgA3O0CEl4YFfOVUucNpmfeueRJAzyNvD9Iu77+Xilw0dJ iPxQnN9BxSPqSNXKXkm49mV11TSx9AcuqVMDkqAnqqE9S/y3Ntu5bFgSNo5r p8wRn+ATZL01LglxXEFXF4k9Qr5rLrFKgcQhdv5lS+S8cn1d7Ki0FMyoljfx Er92Zz3RaC4F4jZ5gorE7qFp7zZZS4Hfvp+GSsQaKYcXIm2k4On+3ZdXEWf0 fny475gUbN61/Y8Kca6DW1npaSmQfJkbpk5cc6he40uwFLydZU3aTDy96/nM 4zwpuPH9XaoBsd+Xx/7FBVIg/TE40ZCYZWMcT3+xFHDfU4kwIv5P7i5t4w8p uLM2/4wJsejMRePiX1LQXRAkb0as+dY0tm9ECrITvhtbEXuIjG/boCgNqaYf vzkQM0PphVbK0uCtcCzKkdibrd/Ud400GEawOpygns/4c6xonTRsb1afPUkc WlYSbLVTGpYydsu6Er+6Et90yUoadv0M2HKGuLNb72JhkDSIfz+c7kus97jq mWqoNJj4/jx9mfjJIdvKyHBpcJXSV/Mjtv/hpeD4QBqK+FmSrhA3v3tSwZ5E rtdRvXWduO7yovzuPGmotwyVvkVcKJBTVjIuDZMHnt+PIKb92D2+bprcT99Z 8x7x9YBa2Zg5aYixN6qjrDPVd86FTQaq3d157hPntIrJruCXgRoH20sPqPy8 9D5roiYD8kEFq+OIn2lvkKo8LgOmcHj4GfU8My7/uRMycMLRyC2JuONo58Aa FxmwK7/bQ1nx5oOcWx4ycIyx/k8ycfL3GRu4LAM7nX4WviB+vq8w5kOUDOiH nvZMoeJ13EI0rkQGKtk5Dr8nLj2rfrW0nFwfOFRMuc9/ec9kpQwk7jfUyCBe /SL7o0WDDCjp2i1Rfj0gZcXTLgNXJ4TjM4lTznXdvz4rAzuW7/2cTfw20FvA ea0sDIZvfPCVeGjnkZuB62VBV1F0mLL6+K6xJE1ZUA67tSuPut5B+Oc/LVkY 1+JnUn6FPsTYGsjC8+O/DPOp9cyMyJkdlQXx7Z/aConjTrtrbL4nC9VRbV9L qHwpWT62iJIFoyfXOEuJJVp38J+NloUM/XxzyjEm3My0BFnISlHoofxAJeXj 6hRZWJF+ibOcOKK9d6d0kSx8WvlpRwVxkJXjHvYJWVC/uetoDZWPfa12J6dl 4WvsQhLlXGMrj5I5WSi7a9lHmalteC+UTQ6Ormk7U0tsp6z2S4hfDq5FePjW EW+cYjooqcnBkOz0lQbitpibvruPy8FJvFeviXgmci705Qk58DpadJmycNj5 hBUucsDl0ZtJ2fiGU36lhxy09e1U/k2c6WrCYe0nB2L1asubiUO2C0Y6RcvB nsDAzBbiza1PXwdVysH2dXEtbcT8Gi7T6TVy8MnzMudfKh/XNAyb6uXg0U35 zZSTFb90rW6WAx3d7DDKwqca5Mp75GDXXrmd/4hn/dj3cLDIw8UvkuHtxL+5 txQYScjD1bISzi7i75ti+1ol5SFb94MG5cwj83xe0vJg/+uUJeWI9EL7WDl5 iAjY/ZiykcW++f5V8tC3ImljN/GnOJetoRvl4UmL4f4eKl9r4t9W7pGHdn92 1z7i8TGD5/575aGMrSiU8r485iOtffLg9HtfGmUOC5M7z83lQT6ujknZ22/G 7YqNPKB8/0v9xObVB1evdZYHS8vqKwPEK72Fk+7cJM/f3e44ROyC8uP0AuTB J6fyOuWiFe6R04Hy8K3/bgJl38SiGyduy8NcwMNGyv0lZ4/tjCDrX5ZpMEyt X7JWZihBHpb9cZOjE1/LD4vZ81keSg8EZjKIB/7kR83kyIPfVc0KytZzYxEv c+XJfo07Katvsb3Nni8Pe06fExwhbkpV9v3yXR62XN/jQXljND6s1iAP3+W6 5EaJe06PynIz5IG2r/0Uk/hAqJLU5xF52Dn6/Brl3FcHxZyZ8nBrudl9yvc7 v/IVTcjDuIZxDmWwCWG5PC8PtmtHOMaoftql2DGwggahEsrxlPdKWT0vV6LB yWybd+NUPro08g8r0+BKYCGm3PWWs2VIhQZiWaLVlP0gl59PjQZl8TeGKb85 qehnsYEGl9lPrJkg5no3at6qTYOD0WcSKJfsCmehW9Ng0G3XhUliQV4XqWuH aCAfahBA2f6X7hZ+Wxqsmdhyj/Kk68SpjUdo8IG9M4Wy8l27Xz6ONOiNcvtD OeC3atrSGRpotuxBU8S6HiWHBW7TYOu9mUnKs039BsUhNMhb+sM2TdWn/sqN F+7Q4NV/73kpK0sc4PxzlwZ8torKlFcWN2e+ekiDfSY7LSk3SdB5IJkGSv2H 3lL2/Cac74Fp8GV5pcUMser6ram0Ahp4mWQeodwZZ/OwoZBGzmt3nClbeya6 b/9Og4xKwcuUd0qtluCopIHuy7NPKXN67Tib0EwDRfGoQcqPpR2UKiZocC29 x3uWeLummobDFA3uKT+4QrnBeHzr9DQNctm1AilzXri1R2meBizrj0dR9qxN OevHpgDAszmDMtway1fnUwDTP9ODlDsYAUfCVitAtOeJQ3NU/jjMnBVVFSDm 7x97yqIyYl6f1RQg47zZScomJq8DujUUwGq7yFnKGcmVqdqbFWCV5fZQyv42 orPDugrgUTL4hbJS0cuHZocVwK1JU2yeuEp9OrnVTgEG3oZIU7740OiDm70C PNBpplH+4dpffeu4Aph9clSnfJZfbQV2VoB9MjRdyvhI2uV15xXAfa2ZK2Xb 6cxj/GEKkPpfdiblZQ7LzySGK8D3tG2fKaf9sLqiHqEARw9mfqXM+ngy1ui+ Auh/j/1O+dXubfXXYxVgxQ+ZJsoTkV92jz4nHuObpRyxtlC1Lk8B7laXai1Q 3992eMXNfAX4a9OvTRnrj/duKFSAzCJ2Pcp0G+Xn974pgIi1sgnlPbdC5A5U KECdtaItZY6/5sI1vxXgUi37JcqXIzoXKscVIHv8YQblyHi/1iuTCtDCzp5F OeWFyJe10wpQO+b6mXJTruHFsDkFcHi4Op/ylv5UpimbIvg/cKukPKJ7vvcH nyK4uXD1UnYaW1ZbpqoI3562iy5S/ZSyq8pOXREKfW5LULY+HvCDsVYRBhPW SlM2qGb/LrJBEewm3GiUlVPZvhzfqgjFJjlqlLsdWJ7P6CvCwSfpiPKJurmL a44oAs1P5CRlu9s7fHLtFUEmer8zZUu4fG7fMUUYjQl2pbwrbfa0t6MiZDoy TlNWCplxKHBVhOroGB/KnbpTpjY+iiAcfCSIssN7pvztu4qgx1H1grL7TYt5 k3uK0MzZ84qyt0Xmr5X3FaG7YTaFcvCEd3jEQ0XY8FcynXKa1sxcdIIiuFpt zqY8U7DU+CJVEdDdpu+UI+pWhhWXKEJJ9Wwn5aTzVfpGPxQhPvR0L+Us0YjZ H1WK0BP/c4Byq62QS/1PRWDuvDVKWaVTQr+jUxHmRE4vUt4e2DJzspfElyuc dYnYVCXhXf+AIvDaPl9G+ewpednRUUXYGprNRTmQp6Ph/IQiRKdl8FCOSU8K nZ5WhKvpyfyUUw+c1PObV4SMtDAhynljyjNLSySeFadFKf8PNUFapw== "]]}, Annotation[#, "Charting`Private`Tag$18087#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVl3c81d8fx+2Ecu3Nva4QElLROkdRyDcrQpKMyMgoI1Sys5WEjFsRIStl pM+59h4XyarslWyS+bu/f+59PB/vdc7rvN/n8/kQrFwMbOloaGi+UH/+/08r oPd+pLQR5DfJzLTv0ZNfN6e7/RZrAgxcwnWxufTk1cRPMr8im0Bk5xJT/zV6 8kW7lrGuf01gM6XUXpaRnjxH/9eoorsZqNivE8es6MgqZ6+cehraCsxeN9nr ytCSOwu26aQWOkB/5PWfz9t2ECfYb3FAvhMsPJX+N6C+g05Lxp8KtekE5r5F oSNft1H06vsVH0onKNMgqAt+2kLKcd9srXIpAFSn8ZWW/kOPm+W0FW92A2Yv 7ca4/esou6hUMvdFN1h6tmv7LnkNdSWepz/U2g3UK8efKB1ZQxJ2JpX8qj0g czRCi2S8iprpg+RpuL6BS57/vtysWEa8Zwc5O+p7gWE+nRVv0AKCErcXNHd6 AYMnydmTMo/usC61VB/7Dk4XRN3WJsyjyn6m4M+k76DEOGRZsXEOWXkq/U31 6QMYE45ySmkW5Rc8HXSSHwCNNqladm4TaJZzNlL71gDIvPnb7szcOJLy1D4n HT8AmIjrVf3244h0hvX12L8B0PMjWsDMbgw9a4q8bVY3CIaEp6Z/e48gz7GY pUvmP8B0U17Tk55BVHxx8c2hmB+AueVtbffuAFp4r3eVvvoHqM0WCpOQG0D2 rhylmNRPUHmifiE9pg+Z7TzzO77yE2z8F3xC+ME3lM7aEsihMQyk6aqPhaZ1 oHNnfc39LYaB/dCj7w8vt6Ohu7LHF7yGQWFlJc+DnVbE3xUx2ZozDMhHRBk1 XJtRXKKOVhhuBEBpGansmDqk0LxN+Ht4BISFveZVta5F7Vt5m7YXRgBO7ubU jdM1iOXmgbwLnlR/Bh8XuX9kFHio/eDe4AiwjPhhT2NYjsSvPZpyXhsBi5va IXGwFJHD5MlDB0cBTRVe+MmJT2j7d7Rbhdoo8F98AAROFyGPYt0ej6xRYBki Gb+h+RbZAUrSnPsYIEe6XapwiwU0b9YrBiPGAE2HXu/DwgSQyCA81JwxBvzn xTJjelJAY9Nt0fe9VHumZ+3i7QwgfXX7je2pcUDueq9P31AAyJ8JtVcNx4HC bXbJbVAETAQuTVxwGgeWgaot1gnFIOxnnJR42jjAe2euQMVPYNpeKu8n7QQg qQyEiREqgH+LTlub4ATAZ8VwLF75Avjl3ecrj00AnH199CmvSqC5UqnwynYC wHKatsBSDLx/aPDpWtME6Fvd4rrhVwUcnj3EOmMngfQ74ecJGnWAbu3NL/R+ EljWJxC5SupA8rVGmoLqSbCRvHhLG18PmoW5LkStTgITZRpupuV6IJuV3aBl MgV0gju5nX0bQe3+9mkVtykgPCjr+LivEZg7reyXDp8C23cL3QOOUeda8ZwO U+UUkNujFfAYawJzX7o7q8WmQWXgzRv1si0gSPTfUpHKNLgatPCR70ELEH4i yvVan8qsBcNRtS1A5+Ido8eB00CPVJq3Z9QKPnTu9p+emgZko+evk6zbwMVj ElsyNDNAs9T4dPGbNvDzhZawoMAMaN2djhAZbgMHr8dbbGjPgOGRATV643Zw d+LwWEn+DCCblJ3Lle8Awxb9zFVNMyDjmIWMjG0HMOwLk28bnwGwXuP3WFIH UGmZejAhOAsU2I804nc7QK76y/Sl47Ogl/Bbuo+3E4hiF+t29Kh2Xpb6piOd gL4oE8cbOgs8IzrXT5h2Ak8ZoxPib2b/f25VZc6dYPotg7n811kwOlZJcX3S CdoTrLMursyCVSFxpdh3nQDiuNoMDv4GrZu/y3ZKO8HHp9XLFod/AyUFw5UP jZ0g0Y9wzuvmb6C84XB+dKoTsKx3Wgf6/Aa4NtqXjuud4KGL/9OYF79Bl3K+ 73kGCrCy+tWT1fIbXH2fd3lMhAJ6BqM3P07+BnJyilbFhyngktE5PJl2DkjI K9zsV6YAOc1Ux76Tc+DzKzprVS0KSKvSiRs3mANOD5lfeBlQAMfp7c+LznPA u/kPPf91CggqyR3aDpsDi18va4hYU8D6ket0+zPmQO+zL/NPHSjgThaLNA+a AxeDel9YulHAEL7iP8IAlduOd771ooAryXfuHVmbA9KhNfzGDymgiksgSRX3 BwjeBakPAihAOaoR05D9A1ztbj3BhVLAOybvcf2Lf0Ci9vi0cAQFCPhLsVjc +gN25wP+kqIpIPJf71EHvz+AQW6jMy2OAnbdQ4w8X/4B+P7dRP54CnCbO+4b UPwHFLfp38MlUMC47QQpuu0PkB7JDQx7SQHGv+Lrk6f/gMXZhj8BiRTQaKI+ 945+HrhWW36jTaKA010rHB9F5wE3ULTYR+X8y29PItV5cFFlNfcF1R9fZ3Cj 5eo8cA+2Gc2n5nt2ji7wu8s82N45c8iIWo+xrCh7LHweqBQLJYZT1+OteKt9 IZNqr6o+p/+MAmZzcKtb5HmgcGBqOCeGAswlyALMQ/OgMuSDWlIkBXSkugDu v/MgnHBaQvQpBZznE7PFcy4A786Sy6eDKaAktj1c7sgCcA8Bvsv+FCDF8qhQ RXMBmJ2g8dTwo4DkwCO96tYLANcttHecqv9jz0jCjaQFEJv2t3HdkQKWF05f ulOyAIQ/0sY221KAzZ3fTh4dVH//zaXzNyngkPyhoXq6RUA+qPNcWp8Cfs5u z+vgFoH653mTJGq/JGb10HaLLAK6i/fqPqlRAAshSOqXyiJQOt09/leBqueZ uKOPNBbB1dbOnXJpCggxSTspYrAI5m07K07iKYAutuzSdcdFYB7N0eVwkAI2 d+fsvqcuAqPP5650Uvu9THDTxTNnESRHLdyM/UGdrxP7vHlKF8GohKA3T3cn WHYmhBl2LoJDLvzO9752gt9DRtkddEtgPThAJD2mE+RsWBXeZV8CAaYhWFZg J7Dndi07ILwEMqTennjk1QnGL4c3Xj6+BFzSTzxMtOgEQxXYdIPdErjnckQo VaYTtCZKHSa3LgGF3zHZ3h4dILxEWfFm/xLACfHFHTbpAJqdaqq7E0tgOvQx f/ypDlC7z1zrzN4SaBQflUvZbQeVnrF3yhSXQWuma/jbwHbw4eq/94UJy2CR WMc2HdAGonEtMq8tV8A4qbD4smULKD8p8unK3RWg3MvYevBUCxi3cAHbvitA 52DdyY9cLeD0B66r116uABPFtNLM+mYwrWX+8ED7Chgu0DhkKNsMLgT+6Xhw ehVwN6TlDy02go01dg8D3jXQyLbUXH+/HlgNXkX0revAsSMgeiGuCrC8GnF2 618HfocK0744VYFis7vCvybXQaa09sP0S1WAfiD0QQXtX0CTT1Au3CGDjL6K Y24n/4JXW3NONI5kMPkNn/3zzV8gX9BmcfsFBhw652LLH2yAnLMpFl5qFYAz 9gGQCt0AD586SlnsloMKXab5+PgNsMqx6R/2pRywdohddi3YAKITK93vT5SD vDYDRqmJDdB8WaBURqEMzDeXPYjX+weCkFqUlcJn4FYXZOUitQn6vDQZ79gV A9Hxi0zrxzaB/iVN0ZOKxaCFbn+OH9wENSMlwRe3isAhGLX01HQTFOOsQg/H FoH+ihf+GRGbICr0tzbd10KgVvgurX9hE9TJWtkKX8wHHK8aBy6UbYEsEX/d C2rZACsPf9RcuwXui14xMJzIAo59OuL6lC0g/ifs7uTTLFDHQ7ljMbsFKg84 F7zoeQcexPZveAtvg5QNpW9crplgJHiWN99/GzwLbKZYoDegyJXNkF9rB6iI 3Ig09n0FWpO5Hnww3gHSx+4++dibDCZrBdPP21D5u3DOsWPJQFDg8G+nxzsg cfvQleSFRBBUpRFY9WkH6BHzp2Y8EoAx5+OPDuK7QBrXlDBQGgdcz4T07x3d BSpM9/SYD8WB8NtRe/Fnd6nP6U8COs9jAap4dRmZ7IJFg4QvxMloIG1dNsYV swuyD93pXH0UDjY/LnF93doFYbMh5+t4AgD3zw1Vg/17oIybTWmN4wmQZ6ax nOLdA5bB8hmKOH9gbX4wj0NpD9D42JjGHvIDrQyy6rftqVwmQbhjeR+kGdnc Z/9GZWLb0xp9Y/Da13FW4RoNJKuVDSpIeyAF8v6N0Bs0cHjBjiE62RORGbIZ f1nTQOh8Sq9jvzcajhrHR7lS+abBO7ZfPkiUdOPazFMaqPKnRddRyR8l1+rW vq6kgfhoawVb12Aks3+eslFNA/XGXPojOEJQ+X+Rv3SbaGBskfg5taIQ1Nfb uLnzjZpvl8b25lwo4p1RUzRboIGWvT5Zr/TD0bMDymmc4rTQP9uL8rY/Gokb dOXekaYyF3tXpE0MKkpwLSfL00LyhzU2wnwM6hT70HP3NC2Eo/3i7x/FooNK kqwtV2mhgmNwFkNIHAo35vcODKWFjfQTjLKez1FA+rb+6hwtLMyRyTk/moD0 FMrcZFdoIb7WtJ7A9RKJVt2Ls/pHjRf/nu914SWqGJ3t7GSkg95mzAIRb16i 5UP9uh9E6aAr3yWP22aJyCrv03+39eggSVv3SFJRElI46+acakz1v3f5u9pA Etptk4vqMaeyKgpzpktGyQtvW8/foYPZDSuM+vrJqEvp2WWxADroLzAUdGMm GamV39Xq+0gHFzUXaI/Tp6CD2jJ32Cuo9nZ+vL1EChoamAi7SKaDw2QDLhmN FOS9bd5Y0koH7ZnULtwITkGF4PKluAk6ON3JpB9Pk4oedTLZNf6m5vP6mK4v mop0blWH7C1R/avoTN6eTkXTAar1zrt0UM+4q4PJIxXh66U0tPnooav6cZuR 0VQ0bzxm80SEHhZWrIca7aSiyqm0oDIiPcTt//Pemi8NmeznrZVUoLJWVbGe dhqK1WG4QK9FD/Gyub/8c9MQTfcwrPShhwqXZc43XU9HQTPYa58n9FDzTM7k mFs62k+TSqcaRg/5a2nJz0LTEecR09pPL+ihnkqnfmFROjoUSrlUUEgPYyNZ B/1pSCgntSDbuZQeOnGSrWb3k5B8SdR+OYwe2jM80CBwkZDKiFZLdgs9HHb5 +mVDgoS0T1dfeTNJD8OiRsRNL5JQuz6pwPIPPZRzVr+ucoWEDO0f4cRW6SEk H1mbMiIh8xenul7RMsA+y+XachsSurtQbPRCmAFKz/fzKfmT0DJj3GdDIgPk b2EipYWQkJewCx+nDAPcuO7l/TOShPy1ZPujTzLAOdWAuP5EEnr+9q15mAED zNP8ltWQT0L8FU++XjRlgJpSn9f6PpJQSudNUUZLBriqXhxALiOhdztCw0+c GaDEIcVKrmoSkuHehPA+A6QJ62X3ryehApm+17s+1HoLqn9rmkmo7Fq8tW8Y A1zcyG7v7iKhM3fda1VjGGBZvqMtqZeEqoL0Dm28YIA6z81+aAyQUHMR29T9 twwwiFMWEx4hoSuNs5eO5VDzVdW0XRknoe6fjdlLhQxwvGmd9foUCQ2xBjvc xRhgK1vyLfo/JGQpbt0iV8cASeZVYqQFEppQUZP73cIAM+SXTPmXSchBVyzq fRdVrwPB1k6rJDRvu/PHrp8BFgb0xaSsk9A9v8ErksMMMF7gktL7DRLaeFZe MD7JAE3M5dKebZIQLdnD7dYqA2RjbxLb2SGhkF7DLrEtav3nJ4ce7ZEQyx/F Yz9pGaGKtE3+T5rXKIYeF5/CzAgrLUtGhOleI27B+VUzdipPiiJV+tcoUaHV SICXEbYaJ8ccZ3iNRC7lfP4uzAhj/xNJwTG+Rm9uhPElEBmhn13akRYqS96/ 7X1VhppfjTvKluk1OnLql2G6AiMccjnW0UdlZRqTo7MnGOHVteNBCvteo9P1 nSzHzzJCbj6rKScqn4/Umnx8gRHeF9w9Fk1lLYPqqmYtRjiurpcZT2U9/tOp PHqMkDyY5ulP5Ws/P3pbGjNCcwmFMX0qW2TIXc01Z4QKNtqS+6ls65B5dN2K EaYMH/N9R63vpCDKqnaHEW78VBKRofK99YTJCBdGWJgRdSmeun6fSvbqXg9G KOcVfnyCut8nAWGpBD9qvVcu4iJUDtOkfeAUQN3PtUCtM1R9Yg76XC0NY4TT i6yT56n6JfQsH6WLocbn6R5TpH2NUpMdWf97wQglOuKd9lH1zrAcn3z5impP J7TV7ZJQruSN6tHXjPBMxt9oJ+p5Fc99Sz2STfVfL5zc2iKh8uIrD7zzGSH/ 4ax996nnS/ZuuFpTQt2P3fFD36jn385QzmpaRdW/KIRouEZC35oVp942MMJh DhpH1xVq/8XmVM+3McJtqUd+XkskNCuc8iBogKqX2FrzBWo/Mh5/PFWwwgiD Ruo/DoyRENvW3+rNf4xQOcFi5jK1vzmrXNM0aJhg49WewOyfJIT/z8pokI0J 1ibVl0j0U+fFVqOGSZIJzs1gGfJtJHRBFkvTl2OCpHiQTkOdL+2lEz4pSkzQ L9UrCVHnz+ShtKISYILqjtCMkUxC91+wpt8wYYIKdWLHPxWRkO/1IJ9sCyY4 MKPhuPqBhAIIO0YrNkyQX32YUzyHhGI/zLM9dWOC4Tdf3dZ6Q0J5dRSfknAm WJyqu9QaR0Ljay+NWb8ywYBn3cLtziT0Ru3YvR81TLCwpmjwtT0J3Yxqjylo ZoI5Cj9UbaxJaECCscmwjwlyf3tQ8smEhCiG7qdTVphgYqZrcNx5EsKKdPBH ZPbBMxvtw8bU+/GlM+3slZf7oMTcG5GWq+noankKEyFtH7RfFhTov0i9fxlV iCsZ+yAuMFeqUyUdRafcNX9ZvA+6vrXGfISp93fLYPuvtn1w7sl/8c2jacj1 8OePrgzM0PvL6nKyYxrSnnB4+MyNGU6rjiqIuKaiiw+JeerezDDIelZZwTIV necZGlh/xAzjz0ZyndBLRac0/lO5HskMaUCmuZBCKpLJPLpCzGKGKkK36QwX UhCr7ar9pyFmiIt79SjPMQW1jj+82ndpP2RooFwIufEKXRmPlRUVZYHKdjvP nyokodkaK//GD6xUtndSFHuB5Dl6RS7cPAD5ube1fOjiEAtYuzW0chAy6Vlp ZWhEIG81aebPmwdhWHt4WYpMBJq8cD0/hpYdrrNec8xmj0DVmlWb59nZIX+P EelffzjyMYh6/l6GHSYe0LYLdAlHv20P1XneYoek+g3r42lPUWukkTRHBztU cGe8z8cShi79MfsrboSD6jgpLm2hYJTGHdj92AQH6d67DLozBqPV07kFQ9dx UC5rIeXDQhAihW/ZJVjh4FCN6JpJbRDalErp2++Kg5O4DfOQu0Eoz+pH+WI4 DsaL74merA9EuL6bfhgZB0dbz3yoCghAfdU2tGZyHDB2DDZ1yPujRbUBwYdH OaBTkQmbs6g/2lelq0xS4oAlBjpX+A/6oxPolN2kCgfMzq+2URx8jOK/4Nrc NTjgZ/Kqvb/ZY6RbUpkYYcEBdR7bilyyeITqM7kVvsZywLwu168sPn7op0S4 1vBzDlhx2Kkmy9wPrb3ds6J/yQHncw7/sgB+SOLN7AutVA7o16ogKMTohwLS yFvf3lPrLxvPN8X5onMvnRrmqzmg/97Z6JUCH/QprNYCv8YBOfu9bjHteaNs 7Rb+0A0OeNF5+cezUW+UzNbV9WeLA7riXXJP13sj/9hfF7/QcUJ/uqGpkShv pJO4KW+M44S42Me5j0S90WiWwl6ELCd0fd0aPKXuhQ42pKT/vcUJJdsUuKcy PRDt07emFracUOZrGVNvpAda1c7hqrPnhDTO7RU/73mg/vbS0GcunHDWVI7v 7HkPlNHb5XLkISfsfXrPWXb4Pjo1yQytEzkhm47KeiX+PrrN6DHc3k7Nx4V7 KVnijgTFmr5vUTih+Uxo4qt0d9SuItIh/Y0TLvaF/5CIcEcnnOq+BgxywkrW tyv3rNwRUzfPqxPTnFB47VgyHac7yiR9Nkqj5YKV/nGEnvtuaPz0RrOzMhfc a2BOH9B0RYlGOtXJJ7kgxettbfkJV6TjQipvOMUFmx/qq+ZKuKKSN5rZBDUu 2PjchFJL44qC9icFf/uPCwqXcm29vueCJL6rwrN2XHDxzFF3f4u7yNrd9xNb Mhc0C5IkSF9xQieUfn46nMoFzR2ijYflnRDLMvx8kcQF3dsKFcrYnVChG1Op /zsuaHkMb1tPcUTbrnFlq8VcsCIptNX0miNKcMn6MtTCBd/1GT9Rt3dATU7d VXk71HzrF365kexRityJ6iYablh4oHRpNsgeuc4lVk/Sc8OK+4dt/e/YI14n ixo8CzdsdDVioTlmj6wcZ2rjebkhZ19zpG6DHdq+s9fgd5RqF1F0EFi7jY7a ybbr3OKGrhK+1e9tbNHPO2IuH2y4YfXVhiF3bVsU6cSFO2jPDaef7tWZKtii Gbct/Y673PDdpFCc/7YNeuvX8k3fj+r/7voP+QQbxPfM8YfxS254RapoerXd Gu1V5s5ZtnFDbkER7LqRFcpH6VFVndyw84Jl4rtzVsi8+rm8eA83FC0+Usgq bYXKG3xdxwa4oZzrLwWJrVvoXtflVdtpbji0Nfk64s0tNDX1e8uBngcmk5pT RNYtUQenHKuHKg+cPHIgVvHmTXTO2Xnm1RkeuHF6QTj21E2U35DfUA14oHkw xHh5b6JoP8Ug3EUeqAAqX79qs0A6kyd2cg14oOei5eDjcxaouVxtYdSRBwas hSbGSd1AdZbXuvXSqPnn44718lxHyl8Si7xe80DOzS66hTUzlMEzEJOWwQOd ig8B2V4zFNRsrjOXwwMt9zs4HHhphs4rW9WFlvLAIVtD3/uCZoi8z7kU6+SB 6nOP2j9ImaIv+QGv5Oh5oQPZ12XC7Bpi0jESfMnEC8OOSU32nrmG9GekkmhZ qKwlQvtH9BqaIrYl9OJ44SPGc49CxowRVxLfM39RXjin++aAw11j5BiYF9aj ygv16nwudIQbISGTXg8/V144nBVZvDNkiG6vZa9O3uOFzXY8KidqDFHRM997 +l68kPfgYHT0e0N0qQ3vJvmI6p8nhE/zNET3zjs6dUbwwqBI+xFlTkPUIkdj LZHFC0+kjVkQdA2QL62MXusPXljM5Cuw+1MPTaqz9kmOUNej5CFk2KSH9MLm bj4Z54W+28T31R/1kAR7gcuJ37zQ8uz00mKYHmoVVo4hbfBCWr39tKHKekhU 5Vz7fS4+mM2imruL10XVdw10RLT4IGf1E+53n3SQXPGxHi8dPihxJtH8SawO SljjNu/S5YOkyYTocEcd5Oj33THUmA/iJiWmD4nrIO5w84glaz5oDJw2fOIu o9uZt5vrHvFB3p9/at29tRHLkI/m3RI+OD4y3XDqtiY64fX+QEwpH6zWdgmI 19REtzj7ugoq+KAejy0ZJ6uJyjSP31gi80HvCmUJ18VL6PanBbf7bXwwxTZH qN7vEqqKtnnlM8kHM/R2Lxa8ukh9Xl6ZD+Hnh/jnaV1hS+ooY8jvY5YQP+wJ zjb9810ddXjlejeK8kO2O5v0rpg6ksxnpmc5xA/LOr6e6ohQR92CNXxRivxQ vr7cZ0lKHcmvnlR7rs0PvV+ejs+yvYAm3hHi0/34oXn5wbblNTU0FzTyj96f Hx5Moru290MNLVu9vmkfyA/Pvv/wXqZeDdGIEWQVw/lhhv1X/h8JakjwJb66 +iU/vF/bIfNBVQ3phYotThTzQ/cV8dCBIIgq7UR05Gb4oSTr0osBy3OoRuNH UewcP7R8xL4hoHIONRNT+dYW+CENeswYzX4Off8lPPZ1nR/mfzFU4kJn0fI1 YR9dBgE4J115IQJ/FklrCmW7iwnATSZi3c7caRQvLcBQbiQArVxmz2nmqCJz C8msMRMBKHqq6c/qU1UkEX9M+6C5AIQhetuNd1RRyd5/sdZWAlAzUsRj8rAq 6ukNED7oIgAvFpQ4LOWqIK7gOWXrMAFIUmHaFS09iZ6NINsDXwTgee1no1+m jyMzvjZmFUwAhuWKO+y1Hkfi/w3kWlUJwMmMQUbbouOouGx1qbRBANIwsPe9 8DmOumIOP7LqEYCWi66+Tw8eRxznnieU/hGg6td248UZZRSbfLvhFl4Qcmco akoUKiEvz4B7fkRBOCBMzO1JVEIWBmliLyUFYV5bNXz9RAnJsfR6tcoJQvuk q+HRhkqo6YGG9ElVQcggXXb+84YiojOVeMpmIEh9H1fMFtNURB58o9qlgYJw vpgulGXtKDJf2VmnhAhCh/d/D9C1HUXqHQJv554KQgnFOgvquyDiDNXfIsQK QrL3Awc246Mof52cG5kiCLWDjwWwV8ij6W/pbFafBOFQKm3SQPgRZBZ/o51t ShBGMj3RwF2RRcIfWYQcZwXhhuooapSWRb8opXZNfwShxUOX3mJ6WWTDzkkb sioIPQ82jQlWyKC74fXH9miFYKNePOXYYRkU4H80aUlYCPKzO4Yb4g6j9060 Nr0GQlD4R8VUGo0UcorIL1Q2FoJym3a3uEckkXzO9Z1npkJw8VH+149Vkqh4 6lOCrqUQVPkQftMlUBJVWjk0NToLwVgRbq5vzJKo06Rb/kuYEAw3ZI9WEDqE NtQz/6VjQrBHvcF7wJyI/L6kB9ZWCcE+w1OHNi4QEY1S8oGZWiE4LMkjfFyW iPaJxRCUWoSgcZX2FbZNccT7z1ur9rsQtLUqfiqbJI6OfdBJml4UgjoyJkGs PwjoLs+qiiJRGJpG8xae98Gj5Yj5aiNJYUj3Mjl3zwaPPOhmdHwOC8Ntpc93 vuvikd/CD8uao1R7j8+n3kN4FNHUEGZ0RhiOs+gHir8TQ9kPX/U9MBKG7lt8 5FIbUTQ2cd67OlQYGtPpvJ5hEkbn09vfyEQIQ6Zwvb34X0KIZGLW9ixaGJK+ Ktp7lgkhixY3cesXwtBp4qT0gIMQGigktdK/FYYh1ly0Il2CqMt3F6+BCUPp Ndlh7RwBVM1R0dSwSo0Xu23k+ZgPEVo0Vo9uCEOzo33NphZ8yD+IIpq4JQzz eXXoHM/yoXN/p+/Z04nASINLzTzbvKhiiE90P04E9rbOXQjx5UXFWR7u2rIi UEJ1lzk9gAe9Oaso1HZLBPoEWGriCrlQ9RWWwC0banzkQhB7AhcavTk2e9he BNK9vSGv4MeFiAEvKkLuisDx+o7j3zS5UEb9P1PoKwI9s/r5c8Y4UaZudeLH eBF4uXjp7E0xTpR9y5A3uUEEfhV/4/X3Aw41uss9amwWgcrmifE/XuLQdCDj 5HqbCPysoBw9/ASHpN+VfjLsEYHZfkbBZ4xx6P2skNGBERHIfIMtWJMGh3Lu jT/33xSB0zruRYSPB9GHYA8OuyOikA2/HVYP2NDcmRsBwQqisBVburkhyIbk VtVX3h4ThReTpOZN1llRjhX3t2FVUeg/JSyS+YEVZYOPiWYXRSGTeSfTbVFW lPFvUezKTWr8f248tswsKNnZSf54nCg0nnTqm9veR/3+vJpuGC8Kl78Vlb/8 sQ8JDJ3Gub8UheO2O9yO2D6UqM26nJ8qCvHeW3fC/fehF1I5n6RzRKH6r75f mUz7UOzI1BnhGlF4MEA9SlyQCYUaWV+mXxOFyXfO+jeYM6A3ukPmthvUeoxC d4YAA6rUMrrbsEW1fyrREiAyoOWzl+Ii6MRgSRfHzP5ZemQuKfudCycGHz04 fAs9oEdKf5etJGTF4BDKPXSJRId+Jgb4aNwSg4SirIsNzLTo37OtiCwbMTh7 RsrNZ5EGcUfdT91vLwaTDSdrdPtokNaT2+S2u2JQzZte0TKbBpXc0WYy9hOD 6duD+lzaNCj8FOez2y/F4FyN4s+TUnvY8aHX70PbxKC6+kdI67eN4eTtNwo6 xSD5n1jRltE2NvdY/lJftxjkJhbRSytsYxnEL+PSA2Lw6o/zR3kmtjBuxx6x 5kkxaHJBiayqv4Vt+tFfZqLBw827H5uclDaxftYTVZoCeKiCF2EY4d3A6pWT pocE8fDq+ZdhKet/sZIb2+xuwnjILeKdFdD7F4stqLZIEsPDHnGOmbaEv5im oe72zCE8VPbhnTMT+IuVJdufjFDCw858UQ9xyXUs8fCrD22X8TBvNKuQ/sYq trpyMTPwPzyUCMPM7MEqpostp6jq4iH/L+a4v4RVjMlQOzLTAA/dd5zS46dW MA+/fw4PTfHwSMDI0er7K5hBxzXpI3Z4aDO0EFCcsIyxeXC/jQzAw6+xpQln /i5i9oCcfD4ID19llnv6/VzEavY7PdsIxsPVqpOzv+oWMZ+0mic2T/GQ9UXw N9yLRWymwd3yTCweeqp5VvMcX8TqBSkic6l4KKyodob57zz2mByVeLkcD+Xa /aG92hw2+4Mc/68CD815mJ4P8c9hxlsrsVmV1P2I/BcYvvgbkzth9pSejIea 83fG40i/sb5cSZ8v9XgIOUdOa9D/xpReouuyPXhoCfu/L3fNYJPOS6KsC3iY YMVbL5I0helHSAiVL+Lhu9Bz3RJeU1hl9jU+u2U8ZDNT2b5uNIU9H/vKXrOG h4VJgx9NOacwaBpO47uNh7hwH9XI6EksWZ04OrufAGlMZ5OTYiaw/4SMMpsl CJB3jzP1U/EYljguT74uSYDcX7/JKCeOYeMfmAfnpAiQjKcQeh+OYX6wEscu S4CV/K7hgVpjWJ4t0c9QkQDZws7vPRodxVgKlwyGzhIgq+b3c+2Co1iDejTN vDEBDg0smfu9HcY4D9oLPTYhQLy5cy1L1DBm8V3tBM6MAHcOgOrPnsPY+p01 R6UbBOj5PWz3tvYwJhlj/t3TmgD5k251aU3+woL6ZfL3XAiw7Ig+4+rzn5ja 3YbrHE+p6+vs0dLmH8I2+2Yu1oYTIEmhcFd4YRArucCm5BVJgNuD6rmy9YOY pIA+848YAuwaOZW+dX8QY6sdKMlOIMDVs2jQ/NsA1icwfwBmECDDiNHyIKkf c63jJt9FBCjNjV8IsfyOySiczCVUEeBo477Uk+e+Y2PJpgk91QR4X6bgl4Dw d8zYNc3pVD0BrqMfvW59vdgZIWkBpjYCzGkS87xt2Isxu512Tx0gQEkamxoB g29YurCVROsaAYr1X+72du3GTh2Tlbf6S4C0J5pj3xt1Yz1aqyc3NgjQ5kzg r51T3RizV8hliW0CfNRBIuGYujFXSo67H504XOlxqBpI7cJgyApZjl0cOkTC 7ZFuCja6EHQjSloc8stI6JJNOjE/pit2RBlxeCWy3U3kfCfGK8LnVi4rDuem YjKTZDsxbe33QRPy4jBc5p3lj50OrDijLffscXG4Kuxdd/BKBxZoyrv5R00c 0hidvZ/1rw2TqMlKuHJdHJJYC43LfFuwdrmNjCFzcZinm2TqYNyCeSdofnSw EIe7Tqfu6iq2YC13ZjpCbonDWMKFr0VTzZg7TnY/shOH2Wv1IR3GzRi6ke97 9L445LU1d1A+14SZbZRY4qLE4WYZx6tDRxswBitGl7RocZhw25vwhr0By28x eigXKw7dzVVfaS7WY7Tp60maz8Uhm9O9L5zF9Vi2hkq3fxLVLnVnKeFkPbb2 7IvGUqY49PS21lTVrsNij1TLdGHiMKupV/tzZA2WrXJ9fwBZHPJdfRI95FKD oQurU4rV4lB/dq79iGENNm8qmRlXJw6PqmTb6wnWYJdDwsX0W8Vh6RXe5Zic aozplwF3Z784rGFlXmzoqsJ8Y8d22lbFofbCrmIiJGPPXvkNPVwXhz5S9d3F 0mQs5x3PlyMb4tDAwjh0CUfG+ioveUdtiUP/qInIkhqEnZjJXdahI8LFOQb5 dywIW1S7P9XCToSjguo/LDK/YrdXGChNMkSovvPscQ7LF8wiR73dXI4Ig8bf PSFNVGDGt4JaFo4QoYKw314DuQK72EFfz6NIhHlHw/ree1Vgkrl0X26dJELv lvXJD1Pl2IQVTea/C0R49W9erkVnGWbTteV9+AYRst1UKCdUf8bMn572rLQg QrnhTJT55jN2Ffre07UkwtsBbzIMAz9j6vmbzh7WRAifS0bIaXzGJML/WVXd IcL4Onb9juZP2JjaXx1TTyKMteVZr/xRglkVLeOfxhAhl4mtgRnhI+YUYLit HUeEPz3aLZvpP2IehiXf2Z4TocdmXcadyWIsbM0jOjaBCG2FlpuU84qxfNV/ Wy9TidDzp1nXjGox9q9qr/ddLlUvnj+HAm4UYbFdbFG1DUSYkzdcnBpSgCW/ dbYPaSJCMvmT0ahRAfb2fvsFzRYizK6m7HM9VIB95o3dbGknwg2i4HH7unxs yIzLvvsbEVqeK+CoYc7HpMYELoyOUfWWs/JtSsnDFEp8RDMmiLB+jJ8zwDUP OxU8+M92ighJv/NTH6nnYTpSqYUzs0SYfO3AltqfXMzdES+6tETNH/7m7aRa LuZ35sm/4hUilC+y+vyRLxcLPjDac3+NCB12ZKKq/uRgiQVvIzY2iNDG3X4+ NTkHe+PPYFexSYT+nVl5jm45WK6+7Xm/bSI0Q4EJ3po5WIl4vci5XSJMNB3R qBXLwbAVyX97e0TYWp559crf99j/AAOgI6Q= "]]}, Annotation[#, "Charting`Private`Tag$18087#2"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->{{16.153061224489793`, 1.5000000000000568`}, { 7.500000000000057, 6.5}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 10}, {-2.4999063697989277`, 0.2749651355597831}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}], {454.7869365527512, -93.84948479861528}, ImageScaled[{0.5, 0.5}], {284.24183534546955, 178.76092342593387}]}, {}}, ImageSize->Large, PlotRange->{{0, 606.3825820703349}, {-187.69896959723056`, 0}}, PlotRangePadding->{6, 5}]], "Output", CellChangeTimes->{ 3.67660110434932*^9, 3.676601155221106*^9, {3.676601207720232*^9, 3.676601216782381*^9}, 3.6766028053486443`*^9, {3.676602841313307*^9, 3.6766029241889772`*^9}, {3.6766029724962606`*^9, 3.676603034441921*^9}, { 3.6766030965543327`*^9, 3.6766031402486553`*^9}, {3.6766035881926403`*^9, 3.676603615258811*^9}, {3.676605587299344*^9, 3.6766056488552732`*^9}, 3.676605711824731*^9, 3.676606252445129*^9, 3.676816044798842*^9, 3.676819599411893*^9, 3.676827868210865*^9, 3.676834848508319*^9, 3.676838171424363*^9, 3.67684192945436*^9, 3.676842009338846*^9, { 3.6768421084902554`*^9, 3.676842129190812*^9}, {3.6768421691661167`*^9, 3.676842213919544*^9}, 3.676842266541978*^9, {3.6768423364143963`*^9, 3.676842361552977*^9}, 3.676860219536871*^9, 3.676860731603294*^9, 3.676861161780198*^9, 3.676941672660581*^9, 3.676941786796755*^9, 3.676943083725559*^9, 3.676943576720396*^9, 3.676943956147101*^9, 3.676944054567944*^9, 3.676944091245414*^9, 3.6770882889191628`*^9, 3.677182172570299*^9, 3.677182498173419*^9, 3.677182583760962*^9, 3.6771874413790493`*^9, 3.677201633744089*^9, 3.677203844880739*^9, 3.6772072836840076`*^9, 3.677463453766602*^9, 3.677768792645176*^9, { 3.677770451866084*^9, 3.677770478693289*^9}, 3.793322210006781*^9, { 3.793851492342909*^9, 3.793851501761148*^9}, 3.823227643056542*^9, { 3.8767889851706533`*^9, 3.8767890004428453`*^9}, 3.876789191335867*^9, 3.876789359480012*^9, 3.876789421921546*^9}, CellLabel->"Out[61]=",ExpressionUUID->"652da2d1-cd89-4f75-b248-0a5dc49f3033"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"{", RowBox[{"SG4", ",", "negT4"}], "}"}]], "Input", CellLabel->"In[62]:=",ExpressionUUID->"497d5b1d-3e7e-4d1f-925c-fe80d1aea9e5"], Cell[BoxData[ RowBox[{"{", RowBox[{ FractionBox["s", RowBox[{"Ki", "+", "s", "+", RowBox[{"Kp", " ", "s"}], "+", RowBox[{"Kd", " ", SuperscriptBox["s", "2"]}], "+", SuperscriptBox["s", "3"]}]], ",", FractionBox[ RowBox[{ RowBox[{"-", "Ki"}], "-", RowBox[{"Kp", " ", "s"}], "-", RowBox[{"Kd", " ", SuperscriptBox["s", "2"]}]}], RowBox[{"Ki", "+", "s", "+", RowBox[{"Kp", " ", "s"}], "+", RowBox[{"Kd", " ", SuperscriptBox["s", "2"]}], "+", SuperscriptBox["s", "3"]}]]}], "}"}]], "Output", CellChangeTimes->{ 3.676606302574239*^9, 3.676816044851344*^9, 3.676819599461483*^9, 3.676827868302759*^9, 3.676834848564995*^9, 3.676838171463881*^9, 3.6768419294791718`*^9, 3.676842009384706*^9, {3.676842108552086*^9, 3.676842129234849*^9}, {3.676842169241803*^9, 3.676842213963553*^9}, 3.676842266586835*^9, {3.676842336462435*^9, 3.676842361599676*^9}, 3.676860219580394*^9, 3.6768607316682577`*^9, 3.676861161822526*^9, 3.67694167272231*^9, 3.676941786856435*^9, 3.676943083798777*^9, 3.676943576777628*^9, 3.67694395621931*^9, 3.676944054629537*^9, 3.676944091313971*^9, 3.6770882889627*^9, 3.6771821727033253`*^9, 3.677182501906886*^9, 3.677182583801134*^9, 3.677187441428195*^9, 3.677201633787424*^9, 3.677203844917406*^9, 3.677207283750009*^9, 3.677463453832501*^9, 3.677768792696588*^9, {3.6777704519163*^9, 3.6777704787183123`*^9}, 3.793322210018815*^9, {3.793851492355198*^9, 3.793851501771797*^9}, 3.823227643065884*^9, 3.876789034012774*^9, 3.876789191490222*^9, 3.876789359587805*^9, 3.876789422056491*^9}, CellLabel->"Out[62]=",ExpressionUUID->"959912f5-bf61-4953-9e01-3c0cf9adde3e"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"SG4", ",", "negT4"}], "}"}], "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], "//", "Simplify"}]], "Input", CellChangeTimes->{{3.676605080057453*^9, 3.676605088441555*^9}, { 3.676605125908675*^9, 3.676605131623805*^9}, {3.67660622246846*^9, 3.676606242220643*^9}, {3.6771825127047987`*^9, 3.677182517583016*^9}}, CellLabel->"In[63]:=",ExpressionUUID->"42962125-494c-492b-95ec-91b20eecb229"], Cell[BoxData[ RowBox[{"{", RowBox[{ FractionBox["s", SuperscriptBox[ RowBox[{"(", RowBox[{"2", "+", "s"}], ")"}], "3"]], ",", RowBox[{"-", FractionBox[ RowBox[{"8", "+", RowBox[{"11", " ", "s"}], "+", RowBox[{"6", " ", SuperscriptBox["s", "2"]}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"2", "+", "s"}], ")"}], "3"]]}]}], "}"}]], "Output", CellChangeTimes->{{3.676605080879779*^9, 3.676605088846307*^9}, { 3.676605126330469*^9, 3.6766051320181293`*^9}, 3.6766057121642*^9, { 3.676606227884324*^9, 3.676606252669862*^9}, 3.6768160449097977`*^9, 3.676819599538183*^9, 3.676827868369516*^9, 3.676834848620837*^9, 3.676838171496786*^9, 3.676841929542655*^9, 3.676842009435408*^9, { 3.676842108599226*^9, 3.676842129284316*^9}, {3.676842169355895*^9, 3.676842214030025*^9}, 3.676842266637068*^9, {3.6768423365126963`*^9, 3.6768423616475563`*^9}, 3.67686021963011*^9, 3.6768607317165813`*^9, 3.676861161873082*^9, 3.6769416727719383`*^9, 3.6769417869240513`*^9, 3.676943083868175*^9, 3.6769435768414783`*^9, 3.676943956286265*^9, 3.676944054695798*^9, 3.676944091363277*^9, 3.6770882890132637`*^9, 3.677182172767075*^9, {3.677182514484234*^9, 3.677182518465629*^9}, 3.67718258385565*^9, 3.6771874414820623`*^9, 3.677201633841179*^9, 3.677203844969543*^9, 3.677207283800139*^9, 3.677463453878702*^9, 3.677768792754554*^9, {3.67777045197213*^9, 3.677770478779887*^9}, 3.79332221005794*^9, {3.793851492373706*^9, 3.793851501804673*^9}, 3.823227643091251*^9, 3.876789035403122*^9, 3.876789191506229*^9, 3.876789359604434*^9, 3.876789422090417*^9}, CellLabel->"Out[63]=",ExpressionUUID->"70b11031-aa13-42a4-8ac7-1d11ff47a695"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG4tf", "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], ",", "d", ",", "t"}], "]"}], "//", "TraditionalForm"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SG4tf", "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], ",", "step", ",", "t"}], "]"}], "//", "TraditionalForm"}]}], "}"}], " "}]], "Input", CellChangeTimes->{{3.676605178018722*^9, 3.676605196017091*^9}, { 3.676606092674406*^9, 3.676606112417509*^9}, {3.676606171467346*^9, 3.676606178968749*^9}, {3.6768420920427513`*^9, 3.67684209413822*^9}, { 3.677182429714931*^9, 3.677182432248598*^9}, {3.67718252677677*^9, 3.6771825299360332`*^9}, 3.677203831308206*^9}, CellLabel->"In[64]:=",ExpressionUUID->"bd6d9a15-4bb3-4654-868e-5435175e3dab"], Cell[BoxData[ RowBox[{"{", RowBox[{ TagBox[ FormBox[ RowBox[{"{", RowBox[{ RowBox[{"-", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "2"}], " ", "t"}]]}], " ", RowBox[{"(", RowBox[{"t", "-", "1"}], ")"}], " ", "t", " ", TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"]}], "}"}], TraditionalForm], TraditionalForm, Editable->True], ",", TagBox[ FormBox[ RowBox[{"{", RowBox[{ FractionBox["1", "2"], " ", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "2"}], " ", "t"}]], " ", SuperscriptBox["t", "2"], " ", TemplateBox[{ RowBox[{"t"}]}, "UnitStepSeq"]}], "}"}], TraditionalForm], TraditionalForm, Editable->True]}], "}"}]], "Output", CellChangeTimes->{ 3.677182432831717*^9, 3.677182531472887*^9, 3.677182584007679*^9, 3.677187441642955*^9, 3.677201633990847*^9, 3.677203845119948*^9, 3.6772072839585457`*^9, 3.677463454048835*^9, 3.6777687929123783`*^9, { 3.677770452122817*^9, 3.677770478947351*^9}, 3.793322210184155*^9, { 3.793851492508666*^9, 3.79385150193357*^9}, 3.823227643361549*^9, 3.876789037735194*^9, 3.8767891916262817`*^9, 3.876789359804915*^9, 3.876789422272071*^9}, CellLabel->"Out[64]=",ExpressionUUID->"4a4f374b-6f97-4709-8b83-3516872358a5"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT4tf", "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], ",", "d", ",", "t"}], "]"}], "//", "Simplify"}], "//", "TraditionalForm"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"negT4tf", "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], ",", "step", ",", "t"}], "]"}], "//", "Simplify"}], "//", "TraditionalForm"}]}], "}"}], " "}]], "Input", CellChangeTimes->{{3.6766052272940063`*^9, 3.6766052617405853`*^9}, { 3.676606188784966*^9, 3.6766061977440557`*^9}, {3.6768405203746223`*^9, 3.676840538603445*^9}, {3.676842097266479*^9, 3.676842099409959*^9}, { 3.677182438728973*^9, 3.677182441016192*^9}, {3.677182537576041*^9, 3.6771825404236937`*^9}, 3.677203832308165*^9}, CellLabel->"In[65]:=",ExpressionUUID->"e1c5bfb1-feba-453a-a89d-84205d7b0d1f"], Cell[BoxData[ RowBox[{"{", RowBox[{ TagBox[ FormBox[ RowBox[{"{", RowBox[{ RowBox[{"-", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "2"}], " ", "t"}]]}], " ", RowBox[{"(", RowBox[{ RowBox[{"5", " ", SuperscriptBox["t", "2"]}], "-", RowBox[{"13", " ", "t"}], "+", "6"}], ")"}], " ", TemplateBox[{ RowBox[{"t"}]}, "HeavisideThetaSeq"]}], "}"}], TraditionalForm], TraditionalForm, Editable->True], ",", TagBox[ FormBox[ RowBox[{"{", RowBox[{ RowBox[{"-", FractionBox["1", "2"]}], " ", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "2"}], " ", "t"}]], " ", RowBox[{"(", RowBox[{ RowBox[{"-", RowBox[{"5", " ", SuperscriptBox["t", "2"]}]}], "+", RowBox[{"8", " ", "t"}], "+", RowBox[{"2", " ", SuperscriptBox["\[ExponentialE]", RowBox[{"2", " ", "t"}]]}], "-", "2"}], ")"}], " ", TemplateBox[{ RowBox[{"t"}]}, "UnitStepSeq"]}], "}"}], TraditionalForm], TraditionalForm, Editable->True]}], "}"}]], "Output", CellChangeTimes->{ 3.677182441732197*^9, 3.677182541048189*^9, 3.677182584189868*^9, 3.677187441826857*^9, 3.677201634178563*^9, 3.677203845312586*^9, 3.6772072841488323`*^9, 3.6774634543913603`*^9, 3.67776879310562*^9, { 3.6777704523084393`*^9, 3.677770479134766*^9}, 3.79332221023827*^9, { 3.7938514926442432`*^9, 3.793851502066887*^9}, 3.823227643439218*^9, 3.876789039675647*^9, 3.876789191698254*^9, 3.87678935987479*^9, 3.876789422347129*^9}, CellLabel->"Out[65]=",ExpressionUUID->"d8ec8c2e-00fc-4f04-be8c-fe06b25930bd"] }, Open ]], Cell["PID control: look at command tracking (step response)", "Text", CellChangeTimes->{{3.676256123319852*^9, 3.6762561340117064`*^9}, { 3.676256527464588*^9, 3.676256537807025*^9}, {3.676390134403613*^9, 3.676390134811151*^9}, {3.676432290911524*^9, 3.676432291046063*^9}, { 3.676518622684082*^9, 3.67651863874605*^9}, {3.676860203476437*^9, 3.676860210090838*^9}}, FontSize->16, Background->GrayLevel[ 0.85],ExpressionUUID->"974c36b0-0b7f-414a-be31-ec79c4b9ec66"], Cell[BoxData[{ RowBox[{ RowBox[{"T4", "=", RowBox[{"Together", "[", FractionBox[ RowBox[{"K4", " ", "G"}], RowBox[{"1", "+", RowBox[{"K4", " ", "G"}]}]], "]"}]}], ";", " ", RowBox[{"T4tf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"T4", ",", "s"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"SK4", "=", RowBox[{"Together", "[", FractionBox["K4", RowBox[{"1", "+", RowBox[{"K4", " ", "G"}]}]], "]"}]}], ";", RowBox[{"SK4tf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"SK4", ",", "s"}], "]"}]}], ";"}]}], "Input", CellChangeTimes->{{3.6768602598276987`*^9, 3.6768603356880217`*^9}, { 3.6768613528261633`*^9, 3.676861362113482*^9}}, CellLabel->"In[66]:=",ExpressionUUID->"9adf6503-dd14-4617-a184-b3dcf761ee8a"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"ypid", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"T4tf", "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], ",", "step", ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"upid", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SK4tf", "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], ",", "step", ",", "trange"}], "]"}]}], " ", ";"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"ypid", ",", "upid"}], "}"}], ",", "trange", ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{"0", ",", "1.2"}], "}"}]}]}], "]"}]}], "Input", CellChangeTimes->{{3.676860296716926*^9, 3.676860299287456*^9}, { 3.676860338983132*^9, 3.676860354989731*^9}, {3.676860389814013*^9, 3.676860417213109*^9}, {3.676860476846644*^9, 3.676860557297215*^9}, { 3.676860657072507*^9, 3.676860660662347*^9}, {3.676860828412327*^9, 3.676860832452153*^9}, 3.6768613647302427`*^9, {3.677203833300742*^9, 3.677203834131673*^9}, {3.6772046301116457`*^9, 3.677204660427512*^9}, { 3.677205269062132*^9, 3.677205272636747*^9}, {3.876789015022821*^9, 3.876789026980925*^9}}, CellLabel->"In[68]:=",ExpressionUUID->"a08e7e67-6995-4aec-b045-a97d95dc9abf"], Cell[BoxData[ TemplateBox[{ "NDSolve", "irfail", "\"Unable to reduce the index of the system to 0 or 1.\"", 2, 69, 1, 25112124477366851885, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{ 3.7933222103311567`*^9, {3.793851492742372*^9, 3.7938515021684923`*^9}, 3.823227643563931*^9, {3.876789027687901*^9, 3.8767890446129513`*^9}, 3.87678919178866*^9, 3.8767893600422897`*^9, 3.876789422503264*^9}, CellLabel-> "During evaluation of \ In[68]:=",ExpressionUUID->"bd93670c-58c1-4aac-bd76-80553e539033"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV13c8lV8YAPCL8hPZe7uIQipaKp5jZCXKKpKKspKoUGiaESGZ0UCDoiRK smVvSUj2di/X3r/z/nPv5/u57zjnGeecS7a5anyJnkQi5eAP4jvxjg3jnosh arZ1Gd6SIdlqZS0SBqckHEHVXy/owbdI2PhZ4CshcQtGtXTl/8a/gsSiUPHN Eg8hj0mo3MU6C5xV3a8siMfBkR7RrUojxdCy4hA1Jf4OqmfCDvlvbgKPCrHd 1E9pkL+5avDzYhMIPWmtmdR8D2q+SQnpI81gI4cYxu0zIe5ZdoxgYSvcfM/y jfY7C4aCD23r1W6H/zr7ZCfFv8HFpK599lXd0F70w31i5BuwWx9mFQn9B2mv Y0vHP+WB3EpsNptsDxheMzw3ppkPNkOcWZwDPRC9JS962L4QxvbPygcY9gHX s0r66d8l8PCqK7vByACssOW8cz1SCsPFnuFH9g/CwP3kE1MvSmEf3VIci+8g 5NjfSaI6lkHkAVEFY8EhsFTee4iyUg7ODdfGOg4Ow8vq527j4lWQG/TZ0V97 FGZjv8j9e1QF50bbLlGDRkHbvqa/eakKNvH486tVj8IEw4JZXks1ZKecG4rR G4ODqoaHHgbWQmHaiXfPDo9DCMvFGZ/ZWrB3riKFuo9D959b710v1IHiqd96 tzPGwc8jVez04Xp49XjU2kl0AhozV+llqQ2wVYz1bD11ArhgizWrYiPcpDy7 ySc5CYdlog4FXmyEB6v3PDxNJiFs9t2MV1MjcAUtODz+PAl7I35dsklvArsz XuZ2jhS4W62gv+dcCyA6z8/bMqjw9lOuTPrTFrgz8vHmsRYqNMdqMGyrbYGg 29UPvixQQdr+dL6ASiuIanaL7hafgmoGP0US9y+wv/4jNO3CFMyOsbF46f0C gYS+KVe3KRBtjhueufsLqnwDDvXfmwLXF5kvhid+wfh6VnVD0hTwqXZyNfxs g4zRgtKhtilA0nZU3bU2cBsO1ZMbmAJHlumaEuXfsH7+l7rk9BTk/2H0z3nx Gy4+FG5QZp4GGw+lhUSvdrAJEy1YPjgNj87+aOH/1A6ti6Lz65rT8EVL92PE cDvYr6y/KDScBiZua0d/0z+Qf6mV3st2GjIyH3Y6K3bARYGR7omH0zDGNfZI /0IHvBEzeHcqchpkPfTVtkd1wOzW5dnQ+Gl4cYTlZf9SB9TnuVPOpU1DZNUj O8vyToji6C5Or5iGeoVJ/oOLnUDWdPHxr58GlvDjVbzyXaDs/Ipx969p8DNn U2gK7wLO7vfSy73T4NH/eFrH6i84/S0rvrE0DVnaU6+2Pf4LlV+vyQ6vTwP1 3QlThpK/0LWd4+quTTRwcOXMLZDtBomAxT5NNhqktLg5PLPshvrmLEVObhr0 7m8W9ArtBvnrhxNy+GlguRbps2+mG6auRPM+kqBB9PmZndwy/6BVtl3jhzQN WkpN/k2d/gc2sz8bKrfTwCCYR+N9wT9w9wvWcdtNg+csNb6cR3tgSVORhV+N Bmqq3lb3rHugsKfJVU6dBl0u8vuonj0QtWvDRkSLBgLNIUO1aT2Q8km1M1GP BjkMRwoPl/XA6rFrpxUNaGC6byIm7W8PJNl5nnhuSIOIWAO9II5emB9TeS5t QoPd1avkhR29UP1daFLFjAb1K++XL2n2gkQnV8qeUzRw3nm2pdWqFz4UdMNW Cxown2N9r+nRC4GvMw5UW9LgbfgPv6zHvbBN/PPcZSsaaJdcOUt+h5+/6tk3 fZYGvtvq2TY6e2FG5dpY+nkaSJ66M3xlrhc21Avbei7QoChIsaiLrQ/WSatP VmxoYJ3XHXtsex+cP5YdvGpLg9XxMLc89T6ImbsuNXCRBvGioL/jTB9wtv78 mXWJBgeNqJKxN/oAvh/862BHg7Z7z1cYw/og/K5ZA6M9DdyzjFrd3/SBx9zb zaHYPAMb7weK+uDcdMHICnYW70d/k44+yNeR6jVxoMEJnfPWJTN90P7P2Pwp NuUmx4E9rP3Ap/YvpQj7UVoR+wuZfmg+806qDVuuy3WEDfVDRnbsDsKVrOTi 2xb9oF0WxVqMbQ9NcRPX+uEQo79MDDbp1XxeZ0g/aN6H/ZbYsZtEuqpT+mH7 GUnqFuzd9upr3370g5YlZ/JrPL7KKjuxd239MKU1lbwb+7zCI4il9oNf7yvN t3i+i2GfzgcyDYDF/NZWVuzw6bb7HuQBqNHjenMBx2e76eqrS4cGQOlVNFsK jl9RDrnM1GQABstvW/3C8T0tqDOo6TwAGt7pfXM4/kHdEbKSSQNQ+2Fby2ac Hwn1XF3O3AEwO2JSNXeOBl+TuxxJjQOwfMJWoM2aBiMOsu+76QZhtWqxwQHn /16NQV2d0CCwsQ4WCp/B9al4jZKvPAgvn9znL8L1ozuTvzvh0iBkb4/b2m1O g3e3jb+cqhoE8xd97h4naKDR49mm3TcIGjunmfNxvXZoJC7sWxmEOzePbZvD 9czMNKLCs3MI3vvtmNLA9e4UebugMXwIZLVGhExwf9DPvfpX+G4IAi+7Wx8G XC+nKkmZJUOww6B+VkCVBtUi3Jqhs0MwImC7mH2QBvJv3lbonR4Gw/UYV49d NJj43tJYIj4CKjKsWYbCNPATW5r+dHAE+t7zeKcK0EDkvhj3y5MjYLqZqX6W F/evtqPZXd8R6DLfXXGbgwYfGtf/HB4egefpy6uqm2ngMrijPztjFO4MWRxN mpyGHus/TMVVo9C9v33zibFpMGkPUqwbGAWrGQX+1aFpOFgzfGtQaAyG72UP a/ZMA8OnVA6+wDFweZ57LqZ5GmJ9yGqe58ZBraoL3HOmoZhbME6FYxJqWUtz hXymgZnsJ/vv4BRc+fomtnXzNFQeidh15+gUKGgnhLnRT0PA6aQDosZTkDJe Jc+xMQX04V91zlyegu7dRo+MF6dgeX3C/nfiFNgHH1SZHJuC8S6ztw34vuW3 t7v8GqegNlZ2R1HtNAjo7xUPwtcFZ+/dc+4PnkdpqfPV+CnQbVRXWR+chtZN Fa8sYqag7D8rvSMb0+AVmTayPwLvJx7hjl/34Ljacyfw+k/BB9Oldx+jabBQ 3MDlcGUKwjhq5F6en4FGK10jXzQF3w6IfjF0mYHXYioesapTMGB9FVa9Z4D0 rDnr06EpOPyB2/RUzAyonpb0mto7BSN6VrdZ62egtFAm8fmOKdD0nWy4dXgW VPfJlfzknoLFOXZ3Y745+M2cQufbRgUpUZuNDak5uCH2MSOviQqGWtkPP+yZ gxOztZ3LtVRIjTydxHR8DpQPPcuMKqWC8a6XFQW+c2Duocuu+IkKHxyUhOSn 56Bap1xlPpQKNp2mhQy18zDNLMpYcZwKzAm9V9z+zAOzRJC8sD4VsixdRP4N zYOGxnFxT20qMHQE3sqjWwA5gSuW2kCFlPY8ZbcDC3CKPfu2+h4qDP2SeNv9 agGszYevpPJRIezpB3ODjwtQrnan9Do3FfabHdqc92MBXieLhuhxUCGw1cTm afsCpInYW7AwU2F7S4CIAdsiME5MHxleo4BT40T4t1uLEHv1Ge/yEAW4wm+B bOAiqMx+vX5kgAJ5RoyUqKhFyL029du/lwIsDeLHXDMX4TcPd8zOLgq8rzPe LDu4CG7jooqNTRSgVH+9FXViCUyQi86ZAgpEBx/dTm+9BE7q/SnM+RRQ029u u3p5Cfz+84os+kaBx1XjyscCluDXpu8b8IUCuyvFKHT5S7Caddzw0XsKuJX7 2VyVXYYLt6foTZ9RQGxAm3FeeRkOXZZJfBhPgRr6LWk+aBkgpuR+WSwFtqHQ 6YcWy7C/+iGH/lMK/Ml7ei8lZBl677SHPwmjgPrH10l/qMtwwv3BXaEHeLz1 DhrnV5ehUr3zx8t7FEiYlBsaYlqBpTPJ/3bepcCcXObOWfIKfLma+9nUhwLv UnPz2UxXQKzRYbTTgwKcCZUdml9X4OqJgqFqZwoUfAu+U122AjnN1uaJlylw ud1A8mTTCgTWIo0bThQo521ytB5bgW3//bmxy4ECt8L/LN4UWYUzPDuiOmwp IJOZ8Gxj+yq0MhxSbrShQEvdWRSwbxV6+QuFqy9QYCdLX+ATw1VYVPmbWX2O Ar3+Y3wZ91bh42EX5fUzFAhLeZ+3N3QVrm3bdoUX+3Cpi/X3uFVABoU/dltS 4ClpJrUyaxXgr2nw9dMU0PNe2ds/sApUmx0SO8woMB/3o91xehWsPSPOnzel QPLXuz5Ta6sQSJ73TzChwNocQ9ka3xp4X7K3FzWmwCfXrSYCemtgPl3ZYWhE gdp47lsfzNdgkPLYPtqQAkNlQs81Lq7Bh8B/hn3HKSAkuGPc+e4aUMOE2QIN KOBXfNS3+MsaLHOIeDDoUyBp3OCdeekadG5SXXfWo8BXXtOG8cY1SJqte9Wh S4FJRxthvok1sDjdI1miQwFzrrufnSTXYe+PEaXioxRwPRLwZ2PXOgx0lDbo YwfbhW5Eqa7D1Uo7w3YtChTmJRwrPL0OCbxDLeuaFOgYeOVmarcOdz2Ua2Ow Z9nSYkavr0P5O7mHe7G3237t5368DusPF5VvaVBAI7Rwy7tn66B0EHGTsa1y f+5SS1sH4+/c8bXqFIhg+eXtUL4ODRroviL2+31dL9ea18FVl7llAFHg57n+ isiedfDbppGZhL38eZr7x8o61M12jYpg83Qvqhhv2YAqqFTpBQooMpHOD/Nt AOvXxIW32LpK/wX4SG+AmEKmyA1sWyu295xKG+DpZPhKA/tOAG/za9iAGPW6 +zzYsR9FFg8f34CVu7ezR9UokNUhJdZkuQEysx+VS7BrN8lr2TlsQJTzt8VE 7CFFJacV9w0ozR1Z9cEmWaiEh/tuwP6UcJVz2EK+KGdbxAZcIjG81cLe90Gn Ky9pA5rjI9R3Yp/4bUh/4v0GrKuHbQhgO9GZbx/8tgEOZfqd/2H7yZ819KrY gIApgfolVZxvs4s32H9tQE+UfhMF++vdy/EpfRtAu7unewi75d21IpWpDThy T5zSi01puTVUv7YBBy/aLf/D3nQXMWZtJiGH5VOrPdicPFpxPltJyJBTe3IA W+ydjoIONwld8HzwcxxbXu1YIacQCWnetL0/h32wxdC4S4KE2m884afH4zvq YDz4WpaEVJcZfTmxjdfMbropktCQwJcfUtjnIi1YjuwjIbXeqOKD2M6yZ5MY j5DQF9vEoBPYt/LP72nSIKG8j+VbL2MHnLxYlqBHQiXtm3SDsKOG7E/ZnSAh lYmTe99iv/S+PLb7FAkFryTXVGPvLtqyGHiWhI71Z96axC7a9HbzP1sSWmxs deXC+ewJHZAIdSWh/sZyGVts1+YHigMeJOQzUdgZhr3BRz5y+DYJVUjs+pmP Lfbi7KnRhyQkOVQpK47rK2Ng5SIKJ6GIe+SnJtiqO+KvxUSTkJv2MelgbKus ttCjySS0194lag07vsyo7GU+Cels0Vdew/Ust4XStFhCQiaF/rIauP6/HX/0 z6gKx6trlv8hdntb5fLaLxISy6B2iuD+4RtV32NJxfNzGnE/g/vv9c4etU9z JNTGfqIpE3vftTsGTKsktNBH3cyI+9V0Jc8+h4kOKXlYjuZiR7LuTeKSpEOV TM5ie3C/Sxo3pztup0Msv7ZVPcH+FO36rUiRDvFEi8gtYjeKf2h1OUyHSJaa a+V4vWBTkmGpMaVDtSjJxR2vL8HmAjd9A+lQpBjLijhen4QScvw7QvH1FtaC z7Df/TN9sieKDrmk5XwQxOtZpUNExr8XdKitgmeH4AkKMHozDx7Oo0Mpth3r 2/H69+D56snZCTok9yS4Ksgc1//ur27yM3Rot4VsAv8pHP/i6xE2S3SIK8ct /g12Xt9YY+NmeiTU4MFbg9df2rY/Rh/E6FHZV/5Ucbxe27z/ctzuBD26CNaO q3h9V//motf+mR65Oe765IL3D1JLD8r3YkCK91/4x93H/TRa8NLrPgNaul2r dwXvZ1tIifQqQQzIiPXUS3VfvJ/vtCj78pQB3TAvWB/3w/tjYJNO5kcGZPou R1YniAL6h0sMXw3h5/WsDvE8psCT5GSrIONNKObPBnkV77cyN+xumsptRs9d 9v3zwvv1wFyMOcsPRsRKVe6/RsH3DzrdjnRjQhl8o0fLpfB5aSBcXkyMGdEf XdEPPUmFWvmBVitpZsTfe+6SnDEVjl0/cCdBjhm99/5PsAJbl767UeAAMxKq VDXYMKGChoS8B/cJZpSoMdfnZE6FfVblRUwPmJFzL8NvxTNUEGldMpsZZEZs vWiz00UqjJXa3Kv8wIKOPvdPynSngnhEu1NYNgvKz6FcV/Oggqm1oZnpdxbU 0fKqtRa7YFFFrqeSBfGYXzk44kmFyJ2crQv9LOjYKneooBcVDscUysoKbUXy WucD7e5Q4ZGTSIN/wFbkafN3Mi2ACoqcbaKa51jR7uNBO0ae4vNY6NCDp5dY kY+ogp9JNBUSmReGhy+zIjWDp74F2Fs3CWQ9usmK3G9ed3sSg8c7b6HdFsGK Umj32FTi8Hmy66+LYxkr8nxN9bj+DM/v7WDh4x1siDfm/PHXr6jQKj0v3beL DS115T1jTKZCyEvG4L372VD45vFoO+zleFnTPxpsSGAy9tG2FCq0hzqOSFqx ocS4ggfPU6nw5PokR04YG1oMrPvp+xafP2HuQtcMGwq7P8vFnkGFm+rbmXKW 2VDb4tnjzthDmmcyHtOxoyJkIl+FXaJbvKzBzo50j48138+kgpdx6JN3cuwo OHVLO+UjFcYvbSv3uMCOqNn/zeZ+xvl+ZLads4EdZZ9r1WD6RoVDj4Pqx36x o18Zglctsd9GfL9R1sWO9Hbv03mP7RdNLvYcw56nrRjmUfG5al6BSs+Bdoa/ uBP+nQptf0rKzcQ4UDijD3lTARV0Ji0XJM040LFTs68yS6iQxOPbcvc0B+Jg Yrk5jz17OD2z6wwHMpppYFDF5/MXwSv20TYcyLXTAlVhL8s+a9/iyoFCLERM u8uo8N7m77epYA4k08ohtPKTChzt53wKijhQScqF76QaKthtBJ4WLuNA2vEW f9Sw82U+7r1ZwYE4P9t+8cF2dCdN7qnnQBvBcW8XsEu4Xp5N7eRATd7L98fw /4Ubx/vUHs1zoK70z0pl9Tg/JRfpLBU4EXvtOVa9ZipMqXcI3d7FiR7w/PfV G/u/YqO9L5Q40Y1dlrsysPcXHrIfOsiJjFlz/LhaqBD1naPu2lFORMmXamjH NsrOjw2x5kTJJglbrH5R4Wcqz+4f4Zzo0Um1I2rtVOiWDtbrecKJDjxjanTC nkvesGGI4UTxug37YrClX4091UvkRBq0eU8q9oOkopVf7zjR5TS5zsQ/VFCL ca6glHCiJPZtiNZBhS9BZdYSc5yIvkE7zusvzqd+jUDgIifiGw5hSMWO39rc PLnCiVyX/FUbsO+F/9P+Ts+F7hWfJkt1U8EgdlnRnIMLWdTnfKjE7nuzeyNE nguxjdXTs/RQga3i2fOFC1zIebW0/0ofFegeJltYX+JCslFnn0diz+qncZc7 cKFTSna7c7H/1OcGRl7lQtaf3Fo2sFPamq/uvM2FYjcpSj7ux/U3xIRsY7nQ b1MxptcDOJ+b3Xvq67mQn7GkZM4QFYTEq36vNHGh44ylZS3Y9QdFG7b/4kIy Yc3a09j7nct/POjkQnLz30flh6nA2MKbsH+EC0Ur7Mh4jp36IscsiY4biVvN GdwfocLA4cXqK3u5EfmxQcHOMSrEmhmUxB/gRnEyQSE62AZXX3yrOMSNijtY jlzAzn6l+5aszo24t5zRicL22xLn/+s4NxIOlWZewpb+rYJU7bnR1Yyy0z/G qWB7zfvL1nhudF5Z9e+eSTw+pe4vOxK5UTvvarsONjMN5Wi/4EbGk575Z7E/ ujHm3nvNjRa76Q8/xF51jfg6m8WNvAImBP5hR199872rhhupZmk5B1CoUOXc Uvx+jRu96czhKqNS4ZnC/pIqEg+if9Wq9BvbdSK2ZIiBB93xilQdw+Zzti6V YOZBfuX63BxT+P/u5dGyKD4e9Of0vhJL7FXHjQqfXTzI3fYLmsDeZS9fb3CB B9VuSBmSaLg+HcWvfrjIg5q5TUy4sB85c3OwOfCgtL2OGtLYo24rJxtceJDG n0/dOtjJPjW/TvrwICGzQK4wbP7Iy3/NY3iQ6vmdd/hmqLCRnz5xvo4HFew9 yiIwS4WMwuehxY08aOhth48stlXJE0XJVh6ktXy0cz/2twpv1/4OHmSqPmdt hn29+djspREepP+N3y8Ce3h4fMWJgRfV8nqeZpyjQgOXAou7Ci9Ke0or7sNW u3JlNOEIL0qnTPFRsTMqMipKgBe5VkWcXcEO89njx6HNixyezhZyz+P8D+1f SzfmRa13mjo0sau/qVP7LvOiKrN77i+xy8+fajmRxIviN7smGy9QYe/32E+e L3kRXe8L3bPYKbwdj5NSeBF7Beq1x/artjKYSONF6lr/Tfpga+y1KQ/M5UVZ y+qur7GL/ruSW9DIi9j4GJUWsL9nPEhQYOBD3jrrm8IXcT0bmAnFMPKhRLX0 hTjsk6OycXTMfIhRJPhvMvawVF10Gwcf+rdHwDcXmzuOP/KeGB8KtuE40I19 2fd9UKsKHzr5/KjRjiUqCJ9uc/dx5UOCpY5vcrDt5t7ODl3nQxqz+SKF2J8i va+f9ORDVQb8gRXYOnUSbjJ3+BCPiMjhduzrGpedG0P4UGwtSXIJu0aBZCv9 hg+d2XVj4eAyFbzp5E7U/uVDpw8E8HzCHtJiaZfp5UOFEu6SX7FPBE2cuz/A h6wyjWQLsaXZM6/uH+dD8x0zvHXYtSJ7H79Y5ENkzZ1BI9hiB9Xqb3Dzoz1c LNWiK3j9djE2ENXjR+mMLzgeYCtkKbd6GvAjUTVTziDs6Dkeq2YjfiR88Bhz GPZln9+XA8350X4W6cE4bJ5gq5BpW37UaHwdPmHbpdpVl9/hR1xhgmHd2Mxd Xrou2fzo8ihro/Iq7l/Pd6yPc/kR48EDkQexL3C1N2fm8SM+2aeGqthfdfed nS7iR8aLzDna2HZfqG436vjR1f5XyAK7OOxigtcQP3r2443+7VViPzekBAgI IOuiP+eLsVO6fD6/ERZAXltfeZRjN3im36wUE0AnbjsFVmHLZDAxMG8TQOlc XPFN2C1CpfyhewRQPO2UXy+24uwB9Sf6Amg0L9GNtEaFwdfkqOc+AugaM0vb IewJv94lhnsCaFBZ9pUaNs3m5TkHX/z7MdzA2CRxsvyeYAFk+l51RA9bKEai pCRGAO3f0pp2GvtEoPjUYJYAStae13HHzrcXNVAYFUD2hY+2pGOXHv37KXxC APV0tEIGdrVUIv8cVQDR8da4fcL+/U+k/8e8AHo997syl3j/KREvo02CiLGT VasMe7uu8Ntr4oJosvrH9S7sqO2Cm76ZCSKlpOruLet4PbCWedN/WhCFXrps vxVbOkpZn81KEKV+7Z5gw87eOB5uayOINrXqU7ixW9seiLBdFUT/JcbViGJz +0/stQ0SRLkX+Wd2Y0f2Fl5i/S6I9u0qZTXDtuSvYzpYIIgaxewPnMKWPN6R blMsiN7vMLC2wM76OjudWyGIeG2Hk89iNz/eccemVRDpS5ay2WFzqj2Jzp0U RBUFvHYe2OHxdhUXJIRQ3QWa0lNsT48H132khNCA1zpdDLa1cZJ4jIwQavep qo/FVmBu86xVEEJnT76+8Ay76tbR7QdUhFBjW7FzMja9hfTDrcZCSETqi9An bHf+Pv1cXyGUCsrD1UR8ZtbmmwKEkLjIxrVabK0GweSJh0LoakTHah02V+DJ FXK4EHpqVc3chJ0xX5T+6JkQGmdrZf+NPfLr+VabL0Io8nNZUR8Rj6iz9VuH hdDd79vrF7FFPjMLXx4TQhp8iqrL2P+acu2rJoWQ0qxq2gr2RXYuuoBZIRTP HHhnHdsl+KfyBp0wEjzNwLFpA59X7u2KmxYRRkty1e1s2O+c6S62GQsjAYsC Lils55CMj3vNhZGP0S8daWzFtDNrkRbC6OWJo97bsLOGv0QbnRdG+7QO/ZXF zrdxqqq8IoyE3uSHKmA3nm5R/B4kjD4s0yXvw17USl16XiCM7v/8mK6N7fP9 uW9ZsTAS+RKUpINNUopnHS0TRiwRsuG62P+JPyYr1QijRzuLrupj8y3d1Cv7 LYwGiwMlDLGVPxjEjUwJo9zEn3pm2C68swf3SImgdIMv5TbYtBBKiZmMCHKX PB9li+1OP2rgtUME6YTT2Vwk3k/9e750lwg61KGwfAk7pKoiyOyICNrIOirm iP32dkL7LTMRpPXLb/9V7P5BjZslgSJI4OeZTC9sjef1r+RCRJC+168r3tgv TlvWRYaJIEdhTXkfbOsaN0nbpyKolIOUfBu74+OLWoZkfL+aXMA97GbvdYmj BSKoxTREJAC7hDOvqmJWBM2fTH0Sjk2uOTq7axE/T9NeOQL7nl+TWOyKCIq1 1m0mrLYwct2BXhQ1ODuzPsHO6+IX28IhihptLG89JfLzxv2avrwokggs3h6P /Up1j3DdBVFkgM5MviLeZ8jsu3JRFF201XVKxu471z+2w0EUWVU/HiIs9eBp XoCLKDpP3f03BTvl55IF8hZFR+x+lbzGTjUqif0cJYo0Q664phHxumDCF18h iuoYGM98wq68pnCnshrf7z9RRnjEd/PQfJ0oSjqho5iFvf117heTVlEkrW61 QfjdmLAZa68oujPHk5CNnXZ94Mm9ZVF0ePPxb7nYH/zdOe13iqHxMKWnP7An jpx94L9bDKlL8U0SVpjVmklWFkMyoQFaBcT9Njy/elTE0KwKB43wW/gca6kt hlIv/NYpIuazNCVueE4MCRz62l2CHX/FWXFfhBhqiOr+UUHkS9r0uUmUGNJ9 cZepEluw6zDHtRgxlKVZZEw4Vp+FlpEohnLSJIcIP5VN+7I9TQxtybzFVI0d 3jt8RKRUDH3d+vVwLXagme0xhjkxpPBA61wjkQ+jLqtLi2LoR9xaMuF8PTOX ihUxVPXYdIQwTVUnIoReHJ3b0X21CdtKRv43N4c4uhvu4tWMrbRAs5GWF0cT You3W7G7Yx94Hb0gji4VHtdox16KXAl5c1EcuZ0r9SbME3ojcYuDOGJ2Gc4m rHffrqjORRx1jxyR+YOd7ajPaO4jjvhb5Dd3YAcf4oq0ixFHx/z9szux93W9 fBdYJ44O7Yrv7MbmUHRYzGwUR19dvZn+Efm4q6jT3iKOnj2Q2Ec4Rer7wPYO caSmnhtKmOdyq3j1kDjSOi5+pAd72YfhGCNJAt38LhTWi/2HZX+xrqAEulNV wTSA/XNv3EiXkATKVf+sSDj77Cq7m4gEsv592ZRweGaJdZy4BAr3O/qcsK6J 0eroNgk0siVZaRD7a7zDgRAlCfSiU+fEEJGvHQkf6o5JoF5fBscR7NkZ7VTf 4xKoir40hLBRAe2ZipEEsvtjlEGY0UT/UaqxBJKIb6YRdvdZcrptIYGgyPfW KLZxw6ntO+0lkKlpw+0x7K3uPMmPHuD3H+21ncB2gKJ4DT8J5JFXd49w6Rbn yEV/CVQ++jiRsFdS6f2LDyXQil90G+HRimvnj4Tj+W/K1p4k5i/UJDqRKIE2 /XUSp2DfLQqNPfZNAlWe9M+mYo/9LYpaypNAPneUawmbr8yEv8mXwPt1YT9h hf2WDxmKJNCxK9e5prDb02W8vv+UQPvvHXMhrBRTeEa+VQL9FB8Qn8YeujIt xkKVQGSj3ss07JMh0sLfpiTQkenUu4Tz357it6dJoIDNhk8IP+n/wV46J4Fm FfXyCCOLYJL3qgSy3DnFOEP0k5ZU39gWMgoRlEkgfFzYLLVamowu5Vp8nCXy MaBYdEaGjG77lxQSHvjA1DkhS0b8OXwNhH1QPge7PBlVJdyfJPz+kpSPyR4y 8ma4uGMOm/njtHGXKhmdirmaSLhCK4xEMSejcSctz3lsLjYH4bunyUgiRNuP sPVv9f0clmS0Y25/BOF5x7nLSmfJ6DNDfxphmcdWvz1syWg4yukvYb8/chkb V8lIufMYLGCru1Sc4XxIRgciluYJL7ePapcFk1HBxl/6RaI+NbcqeT4io7f/ fWIjLCN4kunvYzJit5SSIby1rCP7bTQZGekfMSXcLkhhRSlkJD16+gNh13Ke IpdCMvq+uc5kCVtu94F0cjEZuelnnyXcH28R3VpCxue1R/aEzV2TnA/9JKOs Oi5vwkeEtwsy1pGR+ptrLwkzuR2+lthBRlICUeOEn4vYSNfOkdHdzCH3ZexD yvKKNgtkFCHz9DbhVr3ZA4uLZJTPoOJPmMkz4Jj0KhmRdl+IIuzalHbNh14S IdZ9WYRRwEyRArskMvi7OE64j+p3NnS7JIpxvXh6hcgfo6G9lJwkiv3315ow nyi/2zd5SZR1w/ASYX39d36DipLI7BDvNcJZKXXpqvsk0TbTQyGEfS34lifV JZFLxfh3wtKlb6INz0gip3Zl/lXseoXFlC4rSTT2IViE8M1o3c9O1pLoqVoH mXCN42hDwAVJZPjVVoHwNQ75LYX2kshIlKxOuPBshveuG5LIeaehI2HLxezz HKGSKP2/3GzCm2w2X00Kk0Q/Mw5+I5xRY3ZbIVwSnTuV/YMw3fP5ON0nkkjz Z9xPwm+PHmy5FyeJttSIthOei/x+dDoVe4Z9mXD4zhK55gJJ9LihUmWNuP7g mS0PiiTRP4tRVcKFmrPDe0okUXYpgwZhioVMakS5JOI1l9EnfCwgWPxkrSRq NpeyJMz4z5in8Y8kutXEcIuwd3j/Wt2sJMqdjc4iHJng03V7XhJ1MjDkEE57 zft956Ikappx/Ea4PV/nZuiKJLKJ3l5EeP9oOs2AXgr5PnWqIzylfmO4hl0K OTkwDxO2m9nUVCUnhcpf9vKtE/2UplVvpSCFSjweChI2v+BXQ90phcYTd4oQ 1m5g+Mm7RwpZzTmRCcuk03+/cEAKlennyRMetCGlLmlKoVMvMoHwxeaVmzvO SiGyD+8lwlYPD3vkW0sh0ZgT9oRNkfd1o/NSaDo2yJGwVsbyFXdbKZRtS71C WDp4yabYUQo1xMR6EO5XXzCw8JBCPEFnAwnbfKJJPHwshTQY618Tdn5gsqof IYU6mIbeEnY3yf699YkUGmxdTiMcNOceFh4thfb8E8oknKGytBKTKIUczfbl El4q3mh7nS6F4HH7T8LhzVtDyyqkUEXDcj/h5Bv1mro1Uigh5Mow4Ry+8OWa eik0lPBrjHCXJbdDyy8pRDsSME1Ytl9Qs69fCq3wXlknfMi/c+nSMI4vcxjd BraBbOLH0TEpxGaZuonwtcsSYtPTUuhASC4zYX/WvtYbc1IoJiOLlXBsZnLI 4qIUupOZwkE4/eQlDZ9VKZSVEcpNuGBGZmljA8ez9gof4f8Bab//iQ== "]]}, Annotation[#, "Charting`Private`Tag$21551#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0., 9.999999795918367}, {0., 1.2}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.676860507478595*^9, 3.676860511135454*^9}, 3.676860558060039*^9, {3.676860658177109*^9, 3.676860661157155*^9}, 3.676860731877676*^9, {3.676860829393259*^9, 3.676860833553275*^9}, 3.6768611620327787`*^9, {3.6768613667036657`*^9, 3.67686137433606*^9}, 3.676941672995088*^9, 3.6769417871380463`*^9, 3.676943084071375*^9, 3.676943577131353*^9, 3.676943956510064*^9, 3.676944054958249*^9, 3.676944091725684*^9, 3.67708828932612*^9, 3.6771821731079197`*^9, 3.677182584371237*^9, 3.677187442063706*^9, 3.677201634355056*^9, 3.6772038454867487`*^9, {3.6772046320795*^9, 3.6772046610515223`*^9}, 3.677205273658207*^9, 3.67720728432552*^9, 3.677463454642042*^9, 3.6777687934140387`*^9, {3.6777704525020227`*^9, 3.677770479352713*^9}, 3.793322210375235*^9, {3.793851492790783*^9, 3.7938515022142143`*^9}, 3.8232276436077957`*^9, {3.8767890278222923`*^9, 3.876789046010912*^9}, 3.87678919332362*^9, 3.8767893615918083`*^9, 3.876789424075954*^9}, CellLabel->"Out[70]=",ExpressionUUID->"69022083-a070-4a32-90a6-02f15460def8"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"K4", ",", "T4", ",", "SK4"}], "}"}], "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], "//", "Simplify"}]], "Input", CellChangeTimes->{{3.6768611714540043`*^9, 3.67686118370898*^9}, { 3.67694367919162*^9, 3.6769436985673122`*^9}}, CellLabel->"In[71]:=",ExpressionUUID->"802dd245-10d5-44f3-93c9-bc9ce494abed"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"11", "+", FractionBox["8", "s"], "+", RowBox[{"6", " ", "s"}]}], ",", FractionBox[ RowBox[{"8", "+", RowBox[{"11", " ", "s"}], "+", RowBox[{"6", " ", SuperscriptBox["s", "2"]}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"2", "+", "s"}], ")"}], "3"]], ",", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["s", "2"]}], ")"}], " ", RowBox[{"(", RowBox[{"8", "+", RowBox[{"11", " ", "s"}], "+", RowBox[{"6", " ", SuperscriptBox["s", "2"]}]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"2", "+", "s"}], ")"}], "3"]]}], "}"}]], "Output", CellChangeTimes->{{3.676861171960381*^9, 3.676861184160039*^9}, 3.676941673053315*^9, 3.6769417871862383`*^9, 3.676943084126399*^9, 3.6769435772814302`*^9, {3.67694368442068*^9, 3.676943699023716*^9}, 3.67694395655618*^9, 3.6769440551188183`*^9, 3.6769440919399*^9, 3.6770882893625107`*^9, 3.67718217317179*^9, 3.677182549242137*^9, 3.677182584471459*^9, 3.677187442094266*^9, 3.677201634398574*^9, 3.677203845582905*^9, 3.677207284352412*^9, 3.677463454674162*^9, 3.677768793445085*^9, {3.677770452698951*^9, 3.677770479442507*^9}, 3.793322210382786*^9, {3.793851492798347*^9, 3.7938515022213287`*^9}, 3.823227643614065*^9, 3.876789078432662*^9, 3.876789193396441*^9, 3.8767893616958113`*^9, 3.8767894242083883`*^9}, CellLabel->"Out[71]=",ExpressionUUID->"cb35975e-9a96-4106-930d-380bf8fbe249"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"T4tfa", " ", "=", RowBox[{ RowBox[{ RowBox[{"T4tf", " ", "/.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}]}], "}"}]}], "/.", RowBox[{"a", "\[Rule]", "2"}]}], "//", "Simplify"}]}]], "Input", CellChangeTimes->{{3.6772016937369213`*^9, 3.6772017475346193`*^9}, { 3.677201835850177*^9, 3.677201837825718*^9}}, CellLabel->"In[72]:=",ExpressionUUID->"abdd52dd-2399-4b18-8f5a-f7fc833e8360"], Cell[BoxData[ InterpretationBox[ TemplateBox[{ FractionBox[ RowBox[{"8", "+", RowBox[{"11", " ", "s"}], "+", RowBox[{"6", " ", SuperscriptBox["s", "2"]}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"2", "+", "s"}], ")"}], "3"]], InterpretationBox["\[InvisibleSpace]", None], { TransferFunctionModel, { False, False, {False, False}}, $Failed, {{Control`CommonDump`$DUMMY$}, { Control`CommonDump`$DUMMY$}}, InterpretationBox[#, TransferFunctionModel[{{{8 + 11 $CellContext`s + 6 $CellContext`s^2}}, ( 2 + $CellContext`s)^3}, $CellContext`s], AutoDelete -> True, Editable -> True, BaseStyle -> "TransferFunctionModelMinimal"]& , $CellContext`s, 1, 1, Control`CountStates[ TransferFunctionModel[{{{8 + 11 $CellContext`s + 6 $CellContext`s^2}}, ( 2 + $CellContext`s)^3}, $CellContext`s]], 1, {}, {False, False}, False, Automatic, None, Automatic}, {}}, "TransferFunctionModelFull", BaseStyle->{NumberMarks -> False}, DisplayFunction->(TagBox[ SubsuperscriptBox[ RowBox[{"(", GridBox[{{#}}, AllowedDimensions -> {1, 1}, GridBoxDividers -> { "Rows" -> {False, {False}, False}, "Columns" -> {False, {False}, False}}, DefaultBaseStyle -> "SystemsModelGrid00"], ")"}], #2, ButtonBox[ GraphicsBox[{ RectangleBox[{0, 0}, DefaultBaseStyle -> "SystemsModelSuperscript"], InsetBox[ StyleBox[ "\[ScriptCapitalT]", DefaultBaseStyle -> "SystemsModelSuperscript"], {0.5, 0.5}]}, ImageSize -> 20], ButtonFunction :> Control`Typesetting`SystemsModelTypesetToggle[ ButtonNotebook[], FE`CMObj], Evaluator -> Automatic, Appearance -> None], MultilineFunction -> None], EventHandlerTag[{"MouseEntered" :> {FE`CMObj = MathLink`CallFrontEnd[ FrontEnd`Value[ FEPrivate`Self[]]]}, PassEventsDown -> True, PassEventsUp -> True}]]& ), InterpretationFunction->( RowBox[{"TransferFunctionModel", "[", "Unevaluated", "[", RowBox[{"{", RowBox[{"{", TemplateSlotSequence[{1, 1}, ","], "}"}], "}"}], "]", ",", "s", ",", "SamplingPeriod", "->", RowBox[{#2}], ",", "SystemsModelLabels", "->", "None", "]"}]& ), Tooltip->TransferFunctionModel], TransferFunctionModel[{{{8 + 11 $CellContext`s + 6 $CellContext`s^2}}, ( 2 + $CellContext`s)^3}, $CellContext`s], AutoDelete->True, BaseStyle->"TransferFunctionModelMinimal", Editable->True]], "Output", CellChangeTimes->{{3.677201699709094*^9, 3.67720174810728*^9}, 3.6772018387855587`*^9, 3.677203845679283*^9, 3.677207284443183*^9, 3.677463454770905*^9, 3.677768793557703*^9, {3.677770452800687*^9, 3.677770479542577*^9}, 3.793322210495365*^9, {3.793851492859969*^9, 3.793851502291067*^9}, 3.8232276436702633`*^9, 3.8767890799990807`*^9, 3.8767891934747887`*^9, 3.876789361801609*^9, 3.876789424312172*^9}, CellLabel->"Out[72]=",ExpressionUUID->"296b4836-1223-4c65-bc02-2cdd35105d9c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"ytest", "=", RowBox[{ RowBox[{"OutputResponse", "[", RowBox[{"T4tfa", ",", "step", ",", "t"}], "]"}], " ", "//", "FullSimplify"}]}], ";", " ", RowBox[{"ytest", "//", "TraditionalForm"}]}]], "Input", CellChangeTimes->{{3.677201108531274*^9, 3.677201168410781*^9}, { 3.677201206414442*^9, 3.677201218781085*^9}, {3.677201563037527*^9, 3.677201615210597*^9}, 3.677201768310587*^9, 3.677201858756094*^9, 3.677201922393672*^9, 3.677203835147718*^9, {3.677203907334155*^9, 3.677203913011991*^9}, 3.876789074645309*^9}, CellLabel->"In[73]:=",ExpressionUUID->"05348777-84e2-44ec-bfa5-bc1a109492a4"], Cell[BoxData[ FormBox[ RowBox[{"{", RowBox[{ RowBox[{ FractionBox["1", "2"], " ", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "2"}], " ", "t"}]], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"8", "-", RowBox[{"5", " ", "t"}]}], ")"}], " ", "t"}], "-", "2"}], ")"}], " ", TemplateBox[{ RowBox[{"t"}]}, "UnitStepSeq"]}], "+", TemplateBox[{ RowBox[{"t"}]}, "UnitStepSeq"]}], "}"}], TraditionalForm]], "Output", CellChangeTimes->{{3.6772011619453363`*^9, 3.677201185664495*^9}, 3.677201220692626*^9, 3.6772012793370028`*^9, {3.677201563838606*^9, 3.677201636562682*^9}, 3.677201669978553*^9, 3.6772017706765633`*^9, 3.677201860480605*^9, 3.677201923217605*^9, 3.6772038460716867`*^9, { 3.6772038904374237`*^9, 3.677203913832082*^9}, 3.677207284967474*^9, 3.677463455147285*^9, 3.677768793953958*^9, {3.6777704532417727`*^9, 3.677770479995881*^9}, 3.793322210833473*^9, {3.793851493106496*^9, 3.793851502536063*^9}, 3.823227643908128*^9, 3.8767890815909977`*^9, 3.876789193690835*^9, 3.8767893620185957`*^9, 3.876789424530067*^9}, CellLabel-> "Out[73]//TraditionalForm=",ExpressionUUID->"15be8f5a-5680-464b-a602-\ c4c4a610807b"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"SK4tfa", "=", RowBox[{ RowBox[{ RowBox[{"SK4tf", "/.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}]}], "}"}]}], "/.", RowBox[{"a", "\[Rule]", "2"}]}], "//", "Simplify"}]}]], "Input", CellChangeTimes->{{3.6772039285030746`*^9, 3.677203940828981*^9}, { 3.677204055820921*^9, 3.677204056644253*^9}}, CellLabel->"In[74]:=",ExpressionUUID->"9f0c3d1b-52f2-4c9f-93b3-b99755db1f91"], Cell[BoxData[ InterpretationBox[ TemplateBox[{ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["s", "2"]}], ")"}], " ", RowBox[{"(", RowBox[{"8", "+", RowBox[{"11", " ", "s"}], "+", RowBox[{"6", " ", SuperscriptBox["s", "2"]}]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"2", "+", "s"}], ")"}], "3"]], InterpretationBox["\[InvisibleSpace]", None], { TransferFunctionModel, { False, False, {False, False}}, $Failed, {{Control`CommonDump`$DUMMY$}, { Control`CommonDump`$DUMMY$}}, InterpretationBox[#, TransferFunctionModel[{{{(1 + $CellContext`s^2) (8 + 11 $CellContext`s + 6 $CellContext`s^2)}}, (2 + $CellContext`s)^3}, $CellContext`s], AutoDelete -> True, Editable -> True, BaseStyle -> "TransferFunctionModelMinimal"]& , $CellContext`s, 1, 1, Control`CountStates[ TransferFunctionModel[{{{(1 + $CellContext`s^2) (8 + 11 $CellContext`s + 6 $CellContext`s^2)}}, (2 + $CellContext`s)^3}, $CellContext`s]], 1, {}, {False, False}, False, Automatic, None, Automatic}, {}}, "TransferFunctionModelFull", BaseStyle->{NumberMarks -> False}, DisplayFunction->(TagBox[ SubsuperscriptBox[ RowBox[{"(", GridBox[{{#}}, AllowedDimensions -> {1, 1}, GridBoxDividers -> { "Rows" -> {False, {False}, False}, "Columns" -> {False, {False}, False}}, DefaultBaseStyle -> "SystemsModelGrid00"], ")"}], #2, ButtonBox[ GraphicsBox[{ RectangleBox[{0, 0}, DefaultBaseStyle -> "SystemsModelSuperscript"], InsetBox[ StyleBox[ "\[ScriptCapitalT]", DefaultBaseStyle -> "SystemsModelSuperscript"], {0.5, 0.5}]}, ImageSize -> 20], ButtonFunction :> Control`Typesetting`SystemsModelTypesetToggle[ ButtonNotebook[], FE`CMObj], Evaluator -> Automatic, Appearance -> None], MultilineFunction -> None], EventHandlerTag[{"MouseEntered" :> {FE`CMObj = MathLink`CallFrontEnd[ FrontEnd`Value[ FEPrivate`Self[]]]}, PassEventsDown -> True, PassEventsUp -> True}]]& ), InterpretationFunction->( RowBox[{"TransferFunctionModel", "[", "Unevaluated", "[", RowBox[{"{", RowBox[{"{", TemplateSlotSequence[{1, 1}, ","], "}"}], "}"}], "]", ",", "s", ",", "SamplingPeriod", "->", RowBox[{#2}], ",", "SystemsModelLabels", "->", "None", "]"}]& ), Tooltip->TransferFunctionModel], TransferFunctionModel[{{{(1 + $CellContext`s^2) (8 + 11 $CellContext`s + 6 $CellContext`s^2)}}, (2 + $CellContext`s)^3}, $CellContext`s], AutoDelete->True, BaseStyle->"TransferFunctionModelMinimal", Editable->True]], "Output", CellChangeTimes->{ 3.677201283494677*^9, 3.67720163678906*^9, 3.677203846240567*^9, { 3.677203919934787*^9, 3.6772039414007597`*^9}, 3.677204057418789*^9, 3.6772072851226273`*^9, 3.6774634554189053`*^9, 3.677768794088819*^9, { 3.6777704533996058`*^9, 3.677770480127757*^9}, 3.793322210967161*^9, { 3.793851493201704*^9, 3.793851502644403*^9}, 3.823227644003389*^9, 3.8767890994386187`*^9, 3.876789193758542*^9, 3.8767893621222563`*^9, 3.876789424634618*^9}, CellLabel->"Out[74]=",ExpressionUUID->"a1b27b27-0206-4bc7-afd6-6b067e480473"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"utest", "=", RowBox[{ RowBox[{"OutputResponse", "[", RowBox[{"SK4tfa", ",", "1", ",", "t"}], "]"}], "//", "FullSimplify"}]}], ";", " ", RowBox[{"utest", "//", "TraditionalForm"}]}]], "Input", CellChangeTimes->{{3.677204062433024*^9, 3.677204085986738*^9}, { 3.677204156222558*^9, 3.677204156787757*^9}, 3.6772041880921993`*^9, { 3.677204333480276*^9, 3.6772043869508753`*^9}, {3.876789337656126*^9, 3.8767893392445297`*^9}}, CellLabel->"In[75]:=",ExpressionUUID->"855e57a8-5456-4b75-8191-c8446d517c8c"], Cell[BoxData[ FormBox[ RowBox[{"{", RowBox[{ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "2"}], " ", "t"}]], " ", RowBox[{"(", RowBox[{ RowBox[{ FractionBox["5", "2"], " ", RowBox[{"(", RowBox[{"16", "-", RowBox[{"5", " ", "t"}]}], ")"}], " ", "t"}], "-", "26"}], ")"}]}], "+", "1"}], "}"}], TraditionalForm]], "Output", CellChangeTimes->{{3.677204078402218*^9, 3.67720408830296*^9}, 3.677204159214472*^9, 3.677204190658637*^9, {3.677204335899328*^9, 3.677204387976405*^9}, 3.6772072853578787`*^9, 3.677463455649547*^9, 3.677768794319008*^9, {3.677770453634774*^9, 3.677770480371305*^9}, 3.7933222110893393`*^9, {3.793851493328269*^9, 3.793851502779065*^9}, 3.823227644175345*^9, 3.8767891054240837`*^9, 3.876789193883295*^9, 3.876789362305758*^9, 3.876789424816741*^9}, CellLabel-> "Out[75]//TraditionalForm=",ExpressionUUID->"acde209f-f3b3-4e63-ac80-\ a0ad0e9f2c4a"] }, Open ]], Cell["\<\ PID control: command tracking (step response), with feedforward\ \>", "Text", CellChangeTimes->{{3.676256123319852*^9, 3.6762561340117064`*^9}, { 3.676256527464588*^9, 3.676256537807025*^9}, {3.676390134403613*^9, 3.676390134811151*^9}, {3.676432290911524*^9, 3.676432291046063*^9}, { 3.676518622684082*^9, 3.67651863874605*^9}, {3.676860203476437*^9, 3.676860210090838*^9}, {3.6768624216287823`*^9, 3.676862426233543*^9}, { 3.676862466093924*^9, 3.6768624681098413`*^9}}, FontSize->16, Background->GrayLevel[ 0.85],ExpressionUUID->"9f0ce2db-f1f8-4c2a-8b27-6a57998ced9f"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"F4", "=", FractionBox["1", RowBox[{" ", RowBox[{"T4", " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", RowBox[{"s", "/", "a"}]}], ")"}], "2"]}]}]]}], ";"}], " ", RowBox[{"(*", " ", RowBox[{ "the", " ", "feedforward", " ", "element", " ", "F4", " ", "needs", " ", "to", " ", "be", " ", "biproper"}], " ", "*)"}]}]], "Input", CellChangeTimes->{{3.676862470634843*^9, 3.676862479584135*^9}, { 3.676862510307961*^9, 3.676862545681325*^9}, {3.676862578475119*^9, 3.676862591946381*^9}, {3.6768626550861588`*^9, 3.676862700107788*^9}, { 3.676862924930871*^9, 3.676862928224642*^9}, {3.676862974965064*^9, 3.676863043104526*^9}, {3.676943508723237*^9, 3.676943511712461*^9}, { 3.6769435563972588`*^9, 3.6769435717385597`*^9}, {3.791516690187745*^9, 3.791516691174893*^9}}, CellLabel->"In[76]:=",ExpressionUUID->"d2d776a9-538d-4dd8-8b46-33d0a02e1dd1"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"T4a", "=", RowBox[{"F4", " ", "T4"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"T4atf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"T4a", ",", "s"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"SFK4", "=", RowBox[{"SK4", " ", "F4"}]}], ";", " ", RowBox[{"SFK4tf", "=", RowBox[{"TransferFunctionModel", "[", RowBox[{"SFK4", ",", "s"}], "]"}]}], ";"}], "\[IndentingNewLine]", "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"ypida", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"T4atf", "//.", RowBox[{"{", RowBox[{ RowBox[{"Kp", "\[Rule]", RowBox[{ RowBox[{"3", SuperscriptBox["a", "2"]}], "-", "1"}]}], ",", RowBox[{"Ki", "\[Rule]", SuperscriptBox["a", "3"]}], ",", RowBox[{"Kd", "\[Rule]", RowBox[{"3", "a"}]}], ",", RowBox[{"a", "\[Rule]", "2"}]}], "}"}]}], ",", "step", ",", "trange"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"upida", "=", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SFK4tf", "/.", RowBox[{"a", "\[Rule]", "2"}]}], ",", "step", ",", "trange"}], "]"}]}], " ", ";"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"ypida", ",", "upida"}], "}"}], ",", "trange", ",", RowBox[{"PlotRange", "->", RowBox[{"{", RowBox[{ RowBox[{"-", "0.1"}], ",", "4"}], "}"}]}]}], "]"}]}], "Input", CellChangeTimes->{{3.6768627074062967`*^9, 3.676862720070436*^9}, { 3.67686281397927*^9, 3.676862886366935*^9}, {3.676863230285181*^9, 3.676863251706378*^9}, {3.676863314794487*^9, 3.676863381405813*^9}, { 3.676863517096043*^9, 3.67686353002008*^9}, {3.676941435345442*^9, 3.676941573993987*^9}, {3.6769416124837523`*^9, 3.676941695618382*^9}, { 3.67694302529777*^9, 3.676943051223188*^9}, {3.676943108101063*^9, 3.676943211535818*^9}, {3.676943310248893*^9, 3.6769433186707163`*^9}, { 3.676943361108829*^9, 3.676943366378996*^9}, 3.676943951012031*^9, 3.676944087100445*^9, {3.677203836220895*^9, 3.677203837123721*^9}, { 3.677207301131459*^9, 3.677207332129283*^9}, {3.876789115305244*^9, 3.876789162727902*^9}}, CellLabel->"In[77]:=",ExpressionUUID->"ef04123c-c4ab-4193-a67a-008d0fe5c0b4"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwd1Xc8V98bAHB77719PoiMKEmpOE9GA6mUiqykJCO0KKmMRIlkZ1VkRPhm RCorREaRUaSy1+faM/md+/vn3tf79dx7nnPO89xzqQ4Xzc8y0NHRyeMLeU/y c2DZ4nhfj46uqH/O6YRuTRvF9ATFGaVGoC63l7N667XvAygUH8TYYnYmJFIQ 8UQW53N0+aOulhiFnokNKKkiTJaZEoKuml/6FHF+K1IjHB+uO4WjodSrPnFb 9VAvT/K/v52RSFS3OII90wgpvGDXXlmNRvoG2tH7Th1ErrpX3BZl45H6kwpd muhR9Lr9V9qcQSKKs8q7I8l/Eq24mPZMO6WgOW5mUcdYG5RK3xOyaPQU5RRo oNvtp5Fh06MNC53PULr/pmkhubNoJG5f5ZxzGtp5/Ovwo9fn0QPHNevZ1XR0 uVEiV+qeK2pbPR81JZuFGLTfsPvc8EJX62Q2EwXZSGpfy8+austI4nF746RB DpK5nFwyvPUaclABxnGnPFS21UGF74IvYli93jLnm4/K1CJeGW69hdp/WUjP GRWgsDtX109w30HeOZylM53/IbtqGt9BaiAyjhximUl9jV4EPbXaWBmEpLwr j007F6KcY89GLC4GowqDa1PEahF6H1aQODAfilh//FGalC1Fcb/O6lsdfYS6 Kt5dmRgpRRSGXabLlpEo+0Vc9XhBGZqzurCH2ekxMvMysxszKEemz9IaWKKi UQx7Wcyw0wf0r+Utp/H2BCSQWM8w3VmF3hqp3ZTZ/wyt8hRneeyuRtLPfhdU LD9DA3eeH55KrUbfC5sWpnKfo2Inv2TCuQbllc12tkunI6utWjtpqx+RZqT5 7kSJTPS0IcVzXPYT6mbanbH59is0F1ek0vfgE8rR26zjdT4P7XVq7P+6/AmZ P2dmC1LORxOMixZlbQ3IItNTJ0S0AO3QNdsZEvwZaUedGsyne41a8/4yKBEt SJvqm6vOWIJuNagZb7FrQzydwXsYsz6gV3khP1zVvyOeWnnO2UOfkBP6Ej/h 1Y9S7ETmA2e/IfdB5f7CV6OoguC/Wev/E/2y7War/DSKaM8qhZPSf6KjXffU mwZGUa52i41N/U+0o3HYZ1BiDDVvNo9M4O5DjAXpfCLBY6ibv7SCKbYPxflS 9a7ZjaN/VyOaqs1/oUpB8Xgdvkn01ZFy8MLJ34iDGqjUt2MKcf774rQB9aP6 3Y80/IymUKiZc1K8aT+6ezJ5u7T5FLpyaISb0aofMUS82XfKZQqJ/N71vOhy P1r5N+HUmTSFuEsfvonP6kfjPRaZLQzTqK+M3tKWfwB9jlNSrvg8jZiO8KYP dg2g0EKtLXbd0yhGn4GbaXAA7W/do/NvcBq9TayaEJ0eQDWs1gd2r0+jc08N ZSjsg6j8aoTzmy0z6OK3mZj/dgyi3GPLWfkxM8ih46JKf/QgesjXqPLUfhbJ NccZhe8fQqXbpYvM3GfRiqGxn8mxITRgexH9vTGLjDM/0lbthtCuXMFjJ2Jn 0UhifYTOtSE0csD6JnfzLNKRqHmwMX0IGQRMtvjsmkNqe98w/Pg3hJbmea+Y i8yjXfkejBVZw0he2mF9XX4ebflXPMVbOIzMDAtDcrfMIx+RMtqx98MoPfJk MtvBeVTdPK7z/uswMtd4Wvc+YB6F3ijo5FkdRrnnNSVUp+fRB+6ltFcHRpDD j2MfGD8voOVytcMyfSOI48lvN8/uBXTAyml2bngE/WflLtU3tICosqGLlVMj iPF7sE8Z/SLq03wAiGEUpXWVbfXcvogKOFIy6hRG0dA3SubPZ4torbzfSuT8 KLrQOhFR6rOEbn12mOgbHkUCET5IKXgJRbxY1nlEjKKyQyy0qKgl9DxgpUtn cRRxtsiaeOQtIQoYK3uyjKGcJnNmpcEllPX40aC3whiiNbzxiTq8jFw9bexn bceQ58dAh4tKK8iEycarvmkMyQzsZVnYuoJ6Dmz/u942hhoZ2LN9YQUxr36p 3fx9DG2AsOkQyxW003u/tt8Q7tOy6Ntp91eQccFmuU//xtCe/BfJ3cQKcta+ r6+gPo74n9R/N3izilIPyhmI3RtH70tD/RpqVlG357hqQNg4cukylTvyZRVN F7LwjESOo4/CX5xtx3D8qnt7StI48onoXvKW+ouAMYW5/r9x9DtoTOTV7b/I letsx/qPcVTgwXVU7MAaOpUqkbRVZQJ9ThD0yT2+hmZzKWUHNSbQUI1Eir7j Gnqwoy/stNYEkhBXHne9tYaq6c9dvqo3gQIrjQIqi9bQDt7yZQvzCXRc4Nbr C3L/0N0Kr6Jp7wm08npa8N3qP3ShWd65vnICCf1c0jFnX0f7zO7MbaidQOps dPbDIutIcEMDo1/DBDpjzZPDr7mOPubY1kq34fkwqRqeO7+O8td23JIamEDJ Fo6Xeb+to+0lFj8kmSfR0xsuY5tP0MEWRRUOE4NJtLmCfSnYhg5qXf5qfNw7 iSqYMpn7ztABb6yI+i7jSfQrbIAS5kEHJxdSaiSOTCKZVJsToyF0wKB7+Vum 7SRKqDlU87ScDpKFHloy+UyiSG6tZAE5erjjtFekM3sSyZl/fem8kR6Gq1pT 2nMnUUGMR2mFOj1U52Xca86fRK2yue3uu+hhbn33vZLiScSjqcjZeIweyuv5 82yrJlHocTHvgGB6uF6AJJm7J5F/yt8jcxP08GikV6iJkYYOb37jqTpLDxX3 3RSPsNCQTOWlRw7L9KAXP6rxlY2Gyv6MtbYyM4DUM4cdjdw0NLOh+1CuDANI a12/FS9KQw45RQfPHWaA3S5nm7NUaGhPqfuBrtcMMH6kxzLPjIZ4jFWcecsY YN/16IKuwzTU833w3t4KBsjSUnZaN6ch77/W9YWfGcDIzXDJ8AQN5SOTfY8G GaDo4BHGAjsaotQqGRmLMsIVwxZNXg8aomv7BeXXGSFQISlt8SENBY6+f3r9 DiO8hT3XViJoiJ0uiUHnHiNI6K/Fr0TSkMAmy5qiaEb4nJrdMxNDQxuCv+zL y2eE4CCrgupkGjLeVWX2bIgRzmVyuY7m0tDj58+t75kzwdFtC0mnGmhIrOzO u72WTGBFZc3g+UxDia12Msz2TFCwzOX4oYmGXqxJ/rrjxgQMWp7MEl9o6M2J qDM37jHBpMbUtsJOvF7OoAvu75mAw8Sl1W+AhhQvn/M+psIMh7z9om7/paFN O/uOpmxmhqGjEbydazSkRXdSY0wbW8m8Q3WdhvQfHBi6ZcAMHUXch1rpCWSb pnbspTUzHDf3VWRmJVBM+4wGQzgzjLcvbKPwE4h5263hvFlmCHXmeq2sQCCu 1cWqlWVmSPBfu3lwA4EEKj2SjehYgNYv8vWiIoEoBx0sfnCxAANLn1T+RgLt PmtUzaLIAipXH7jLbiLQ5WjOFJuTLMDlEx9Rto1AA/OxxznfsYC9yX/dNCMC Pduz9VJvNQucPZw7ubqXQHZhzeF5DSyw5Kd0j3U/gb4rMH862sUCcSHeJyWM CfTlqNeuxFkWsM3OSFI3I9D7AlPKJhVW6K/luiR4nECxbvRjZrGsYPhk7PwP RwIdK01koSazwka/lyvlZ/H8mXfIz6axQn3r3YNJ5wj0MNHdOvY/VnC9YKdr dZ5AgY0/mvuaWCFz1urKRxcCeSgXv/ZgYgP1vOVqBy8CGQ9euBnpyQbuhp09 1X4E2ntTPsfQmw3uvIg3vHmLQPrCPd8X/Nig02tP1rbbBNppdHDHqQdsYMDd 4f78DoFU0jVm5TPYYC1JQeBSIIE4z86dL+rB7yeHT/aHEOjzwM1jXfvYoefX phyhKALV+2oHhJqxg/WTiu352DVCRMFuC3ao6EwZMY4mULmhPe9TB3aQNxT6 cDOGQDlp+g3ON9lhYiLYvjuOQGGOrLD6HzsoL7Ffck4ikNlAhKqMDAdEW6fu n0vH+VQH2q0VOKBhsPKX2wsCmVza7vdEhQNM+Ly7hrD3M/xsFduO4xpfRzsy 8PooqlcFD3MAw/CD7LwsAm2z/ljB5s8BDw2tLQxzCSTVvmwxO8gBJf4BIeuv CZQgeXB9ywQHpP+kRJwrJJD4mdRMjxkOEGxS4mnCFpnZuzr5jwM4UymX4ooI xMcXlToiygm32u/MbiwhEKOp+njvAU6Q8pZ13FJGoLFqh9v1uZxAp+MQOvCB QLKPui48LOQETml2GYMKXG9bM4tjbznhJoWq/BT7/ZKOyq96TiCCozJPVRIo chN/+2I/JxyWfGrfUEWgXbEflJQkuKB3mv94+EcCPbgg1RJ0lwsubdliWN5A oMrtkaUmYVwQUKylwNlIoAUmtjT+KC74HZ30yBLbPmXWO+kpF+Ru3yw6j63V 3iBXVM4F8e1mfYpNBOrV9bk6MMMFYxu5Zq60EEidv0PawI4bSov3aNa2EWgo bMg/+iw3KLEJhTG2EyiJY3F42IUboiNPRQE2F5PYfw+8uUG8VyK7FHtswXJv xyNu4FZjW8/4RqD0nl535xpucO9Nz77Sifc/c/BDuDIPJKhaNXd+J1C7woLC Hw0eaPpoGcj5g0D3n7KEamnzgNlyxawe9kqC0rFufR6o8VOiS8fuCnMekbPm Acud/7rcegj0+NIkX/FDHvitItU100sgDjR/umeWB7R3C1z9/ItA3ns2shWv 8ECQ6fe0Vewhg1Ovwul5gaf7RpjKbwJV7a9c0eflBb2Fr2HB2NfNwx5nqfCC zqa7Fnp/CDR+dsPHq6d54QYt43hKP+7HBxYb+Vt4ISFttHbLEP5+wu81j33j hRmm8fGT2JmP3l6u6eGFDN8LHbewA2OoldfGeOGB4ea1z9gyrQtqBAMfrGgT CY7DBOrorvpoIcMHjjkrdiEjBNo3abUoZ8EHepWrZi/HCJQsFNB26yQf/Ppj r9qIPbfrZV7PKT7wOt7VNYadGrrqFOPABze9mTKVx/F+KSV2sXvwQc/9mzLp 2DkOvaVToXwgwW2e/ngC92+Xne/7Cj44cetH/2Eagc6tB5+UrOGDe2Yh9i7Y 5Yr5Wt51fGARRC0Owna+Qje5pZkPaPxDE6XYVQJPbdJ/8IEiXeRDCoHPz4N/ 9B4s8IHGMuuXIeyuKkd6KzV+aDtGV3dymkBTe75L3NTgh8ntkofcsFkrD2ml avJDcP1A2R1s7Q87nYZ28EPkDX69bOyot3xNXkb84DmWt7CMfaiwPO6+LT9k LSwcipohUG260OZ3EfxAk7dNKJol0E+F0AO/HvNDl25vTy32/PN1B8ZYfmA5 fI21C1vh2Vj0gSR+CBoKEV7B9k+uWP2WxQ/FSxNiunME0ot1raNV8QPzm5cd 77GL7tXYUub5IZQlY6lgHtfTuFEseIkfdG13FFRiJ3B9/Tq5yg9qtkLmX7Bv R/TtfcsgAP6L6OAUtmncivpxPgE4Oe++adMCgf5kbF6/r4rjUx8Kn2Hz1CWm LJ4WgG+CZ8puLhKIPuS5pe1Z/LztyXeh2HPG2YIfzwuAnkpiTix2d3NJcORF AXhdFXy4ADut4+vFTTcFoM1mZ0E/9s4hNjgTJwBRPm5Thku4nsxXfjU3C4Dh 8umNK9gSsp86V78IQLFz1zamZQI175Bu2fhNAHjkObfxYGu7fnzn/0MA7m6f YZPDZmkTfqI9IgBalr/YDmCnpxZbJNMLwiUututR2AO7lhrctARhIP53BnWF QHEWplUJ2wVhOZpfQAXb9GJqad1OQcgQdPTQxC58tj+TukcQRqzesRtgB7LH B307KAhHxzgLzmArdOqArpMg6HVc/PkM+4zXjSKuBEGQNN8gKr6K56f5s0g5 SRCqd0uuy2JzzEDx3lRBWNvl1KuIne/JUnL7hSB45Grf1ML+6/Hozdx/guD2 RcnkEHbMxYy3PY2CYF+7oBqA/cm1rTJnTRBEPTRtB7AT1bSrPtEJAXvjXZUx bI+JuKohRiEodamnEdgirrbVFA4heK2/y24V28FltCZKRAia0ud/8f/F+ZzX 63w1hOC8toeHLraGk2qz6WkhGNQQYg7H/uksezHXUQjy9XNNorAfuAry8ZwX Aksn3dB47FHP1SMt7kKgn3OFeI793Lfx2xFfITj6MOvUG2zRSJfe47FCcI1h Z20f9nr5ywn7JiF4t79pm/IagV59SAmrbBWCJCXbyE3Y1lWP1eXahcDozf6R LdildTc8+r8LgWTj4ds7sS99NZk7OyIE/OXbHEywh4fHVy8wCsP0XMK8C3aL gBrnFR1hSOMTSsrE1nNzG32yWxiGC6qXX5L56l7VVSFhoAnmH8nDfui7JZBv rzAM/rSZLcI2HdJee2kuDKLr3/5VYTeU7iH+uAiDks/BXT3YH+1PtB1OFoZN V/m9OP/h/9HbuIJrT4Wh5BtVnwc7Tfh7eHKaMPRaqPLwYwc2WJtOZAtDjwsk iGDrazl8DC4Rhs/d/AFU7ApWt5L3rcIQL3IgURv77Sv/J2qMIjAglCtki81i aiERyyICHM4yT+2xj4wqxdNziMA7lqfKZ7CH5ZtiOvhEIP8loX4eWzBeNPK2 jAgsXjnA6YXtEpBzr11HBJJ603mDsCVPdlzx9RCBnqA3rpnY5+Yz54YuiYDf geqgbOyCyBuXjlwTgap395/kYO9rongq+omAkJHLu3zsS/ourq33RUA4a/X7 G+xGNbozChkisPZR1L8e+wa9yuHPvSLwYldJ6iD2kCFnl+JvEbgoMm4+jH34 3oTdnQERuNF3l2EUW4E376L2uAjoaDJbTWB/ltIKT10SAYvHQWMz2DI79Jov C4qCG9ePqHXsKndzU+kDosAmzaosuk4gtf+2tl8zFQXovBYuhh0zL2T99ZAo pKnXz4pju/h2ugQfFwWO/XzFUthCodb3p8+Ign3XDaoc9rn0cw0f/UTh6tk7 MWrYHD3X97sXisI2zjIewNa+lsUdXiIKid8b5fZgnxbo+ppXJgrrKke36WO/ 2b/NZrpCFLikGi0MyfGKCM/LTaIgvSM5cD925UPHJ9eHRMH398snh9fJ/7kZ 7a6YGLyvjHlnh53W4/s6Q1IM1u3s0+yxW6699K6XEYM9dX0hp7EVX7ExcmwQ g13AeuQMdptEtWjYFjEQY1NrPYetPrd9z2NjMRjKdHjshj34ghqV4isGvpZH dK5jTwT+Xma8LQbZUZ4cN7BnHJ7anQ8QgyiJg99J08lSVbeE4vESda/exJaI pVRVxYqB0AOdlNvYh4Nlpwb/E4PyDXtL7mKXO0mbqo2KQdYsO3ckdrVRb0HE hBhcDtIoJd0gnyQ6T4jBner9jo+xO/uk+t8tiIG+vXVJFJn/hNT1Q0zi4NGn eSQWe+N+yUwvWXGg5549logdtVGcqdRCHNCoR0Y6trWtYkb/SXFY/Zak+gJb IWqrMY+1OBzx4MwjXbh+MOKMgzj8Sc99nYHd3uEvxXNRHMJlNQuzsAWDJrTO 3BMHkRWlx7nYkb8/nOV+Kw6Mr/qbC7GtRJvYdrzHcW9x3SJsuYPfXzpUikOg 7Kts0v+9mZsuqROH6luLAcXYX8OV/RzaxWGxQ07jDTa/3uOYkklxSHFOPv8W OyLhXN1pigQsSeu5V2Jfu+p/yVdeAthXNOtJ25ony8YqSoB6bia1iuxfjo5r n9UkwHJBrI30Jx+jjdt1JCDrufTmGmwGS4UQLnMJ+D24q60W+4roH+OSAAnY PURUNpL7M7u28OWuBIysK3B/xjZsEX8+ESIBlb2TJ0gLBB9ZpUZIQKqB7gTp VwsVLx8kSkDwvn7eZuyRbylcDkUSkPOy1aCV3I8om2auYQn4LO/o0I4t9ZpD 0mVMAqorw1+Q7vtS4vRpUgJKlM3HSDvyCtDfnZMA23tJHt+w3UNrt67TS4J0 h413B7b/bY34aSlJmLFdv9yFneVK79hhLglV/k8Ue7Bd77/K1zouCeN0+bak 1bNPrUVaSoJpi2sM6f+Gi2IO2UuCb9hvpl6y/xwufKp3kwS2wdpe0q0n29Tf 3pMEl5zVW33YS4bpyynvJSGviBbyB9v3bUpATaUkuHbTF5Gm00zgHq2RBMYL HX2kWWXDqZqNksAr9lGrH1tk2ftATackvH1c+YP01lzT+JEpSXh8wU9mkFyf 8NyOLfJScDpF32eY7Of7tCoLRSmwcKUmkb7CMGp6XVkKYroaK0j7Er321RpS YPYtkHUE+/6nunsWu6WgxCQiknTmzSddPhZSYP/FNGUUu39Q37sqWApmzZWj x7H1U5qfqdyXgsD0u0WkU09aNUU+lIK2hPxvpG0bPeXOREvB3moX4Qns7/mp nxmfS8F7h3uRpL/e+Ecxei8Fw9HpAZPYVfxln+rmpMBysNKAwKY2Gs1pLEnB FvdjtqRvB36RiVuVgq3W5d6k9RZHLp1nkIZqb+5c0mU9ojLsfNLgrlouOEXW J+OKl7GqNORuCe4m/Ux3i2TTaWkYjC3YP0PmM+MIWHWUhjtSzDak/9j1jymf l4ZPwzs9Scv7R5fddZeG/M1m8aTTapct4YY08KWKj5BOP1QV9zpKGhJjLt+e Jffr9FGRhDppiBNmT5rDrvdS86tvkAZ/89lc0iMBzEMLTdJwYGfNe9IbX5QU HW2XhuhsiV+ks8YkLbh/S4PGxWTqPHb2pYHHt1ekoThCIZV0btAVfqdNMmB3 zeDBAnl+7rbxD9osA+8OcySQVpsznH2+VQbcU95lkM52EPr2S0cGcreOVZHO RK/jrPbKAOdJuyXSactTsmZ2MlBs/sFuETvBzVV92yMZ6NxdRFki66VwLOVo lAw0T2uokRbv2cXnFSsDf1vit5OOM+aceZUkA9zXdpmRjlbKLtqYLQPnfEqv k474PbxbqloGdBPetJIOtjhjwjgvA/EvgjyXyXoc6rE+uyQDq3fGbpAuP2Dh XrcqAzn9endJz+jue3SfQRYyvhcmkLZWVO0U5JOFHeFdVaQ1F2ccFFRlwaJd hG8F+2ec/3Wj07Ig80MthfRy5Or9DEdZUAtNyyAtFHY5if28LLDe58knfeDO uYomd1koo5VWkC50NmY57isLB7Q9f5MO3SkQeS5WFtKCfSir2Nt6nmYFN8nC CMqLJs2nfn4pr1UWUrdqJJKeuKW+r6tNFoY1XjwjnSb/dmDjd1m4mOCTR1rI pV22YUgWLjx9U096xZfRhIWOAqp12cukuzm1K/eLU+Bk1VOLv9i1WvEjPRIU uMkpcYp0oc1fXk8pCtSzhtqTjsirso2XpUCqyREX0vuPHvo7uoEC6jZ+t0m/ STi//b4mBXQe2mSRjlN+kttkgt8/FTxPem52b3rAQQr0fnFfIX3o/UyiziEK sNiarZNmOWr8IN2cAiuL82xr5Pnhu3zhpiUFjtJGJEmbt5zYuMmJAn3VLkCa 64rQ8wf+FBDnPBZI+jyqSNAPpEDpivU90tXsrpFLQdirdg9IX0+uvuMYQgF9 z2NRpEfrvOx3R1DAamjpOelaiS/SE0kUqI3eVkX6VkVYnEkpBT5ZbV0hPdZb EbVcRgHlNq810sdXZyMyyilweSaH7h/5PWhbhTBWUGB2Pz8r6a6Xitff1lLg mckTQdKasR9OqbZTYOvJclXSQ27TMpwEBa7we5wkfeS+gmTpFAVG3YRPkS7P PCHqNIPrEVpsQ/px/zve6nmcX2nCgTRYhtLd+IvHH9jgRjrBUP7PGDsVblF+ 3CZ9UNIivUGBCgayoemk4wbUK04pUqFkPDKD9EAu248JJSoohMRlkfaFcj5e VSqYHUjIJZ1zVt736BYqIAfvItIc+dPmPbpUOMr/vIZ0neFDOtpxKqjtbPtF 2rZzjzafFRU4kzcOkF5wnnfRtKGCf/6lYdKK4dadV89Q4ci18UnSgd0qr9Yv UkEr4+wK6T3udaf4Q6gwezadf53sPwMuzWsPqBDn/kyItKL4EbbecCpYScaI kuaq+V6YGUOFSIqDNOkucRo3pFHBXDhyI2mPj0IV7h+ooLl0U5d0f4JlTHsV FZac/yLSxz2SXXfWUiFL+bI+6d2SG8VZmqjQEnloH2k2z11eSd/x+riKD5NO kXJQ+DxPBeUnexz+H79210ThLxXcQOrc//N9yfbyZZCD0rA+Z9Jwd7ZCjVcO HCkUT9J/iECbsI1ywK0Y4kfa2DgrcFBdDu5xZt0h/V9a00vdbXLAEV8QSDrA UmRlco8cyOX4hpJWqM6IMTslB/YS7NGkG51HW+6eloOdYd6xpL34VNk/OMlB +Ksf8aQ/2Ly6oXFZDjL++iaTtloqtOcLk4NHtaoZpDONdrTdjsfz09d5SXo+ 8q3RdLocULyF80hHbKpS+fpeDtd7ZzFpk7uhskc+y8FUZF0paZY+c6HWbjk4 IyT5jvSNiP61pjnsnyLVpLVHX86YMshD4vPuj6Sn9lwebuSVhxEz/3rS52aZ vnxSkYe3J4Ka/l/flwxvT2+XhzjdNy2kBx3o0pcN5MHCuf0Lacevq97KNvLg Eln/7f/13LNoanlVHv5+Pd1N2qFghhISLg8X9F71kF6uXO948VIe3HeI/Pr/ er5yhdXUyUN20dZ+0kr94gZ/+uVBpphliPT7WcXl9XV5+KQTPkL6fzzjUWs= "]]}, Annotation[#, "Charting`Private`Tag$50119#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwd1nc8ld8fAHB7773dixBSNKhwPkVCQkUhkRVKkiJfIaJUKNkNqzSMRBFF rr1nJJWVva+VWfmd5/fPva/365znnM/nfM5zzkN2uHTcmY6GhiYY/xD/SYEO TGpO4Trpgp8N/21yQ1UHyfgUyQ3NMZi9/PeEGzZrSkNIpP8QU66b/F9Nbkgq i5RmJN1FtkqqdtPeXOCu7X1xRfoRGlZJirHc4ICODdfYOekM1HVFpfGJOhv4 1ErtoOZloobTM2ZhvawgFtPZOKObjc7tf5tidpcVHJSAfsrlLYpe2MnhPcQC vtnsHxe+vUN8ugUVbWnMwPxzUGFG+iO6LpE1p32IEbrLPntPj39E8lOuoUp/ GSDzZWLlVN4nlJt2Vqe7gAFMvEzsJnVL0HzThSOeWxkgnvVT/JgLBZ2sylNw FqUHvqd1dPPfKpBQzMLLf2K0sMH1IcNTqxLJu/HRavXRwHDwc7O51Er0Ov29 KfkZDXxwCUymulWhq58ZR3qVacB65659sxvViFuxYGAq8h9Ka0i5PCVdjyZV lE+37dpAS4kFSv0R9ehpawqHZ8060ndpHPqyVo/82jlEz1mto2n6FYtPHQ1I 88MpYYOQNaSpbbLvblgTylH/KnRndAW1vf1Dp0BtRToMM1u1x5cQH2K15VRt Q8+kHxdURy6h/fKx+8Kc2pCNjpbqlV1L6P5SxqJfexviM4mzU7u1iHY9/Ors kNWOOp1mDk/tXEA3GlSM1Ow6UF32+VeTYVT0Oq9QPiuuA5klGenS/Z5FXxIP 0m9p6kDTfAtrnE6zSM7FskRkbyfSkvyqOXt4BjXQh6rS8H9F008e3zKUn0JC 2j/5Wmu6UPqtXj71vWMI5M5RDf52ofzX7fVGlaPIjX2+sWLnN7RUYSbHaTqK Sr4z3fqQ+g11MimUB1wYQQ4+6itJft3If67gdkLhEMp5e/enu+oPNDD1TIT+ 0QCa5JuMMLL/geYgWXb4wABS8DHSUYz9gVIr8zxouvtRqhZ72tDaD9T2Ibnx U1gfiq6POGdd/ROVre7IzaHvQS0qM8Kaqz/R6p8GPV/Xn4g96mi9oHIPMpic Swpr/YFCT3KptEf1oNd+tNN26d+Rz9CD+cM2vciynvHFWddv6J3+3LMtD3pR 0ZJF8Oe+LkTNMDOnr+hFuV+Gp3ad6kKunryFpQp9qE7Z0dHW5Cuy/hvtv3ux D7Wt2qexWHSgFPbGEN5DA+gs209uh0BcR+3rNkG2A4g0SWcRn9GCejyUd1Ov DaCgr5HMZ7ubkciX8NGmzAFk9vcJ+QE0oYeJxoZ3eH6huS+6sjb76tGOhj/k la2/0I7jqs37g+tQy0b2urPuL0TaK1bq0liL2Ow4s3V9sD83cwS51aCQLS1c mz9/IWh3Sq5vrEQypwLHLv7G4zE1+0mqVKKyO6plPVyDKHV/6cvrDyrQn6n7 lz8dwM4+oqJhV46835l2er8aRAOTjKaPdEuRC2p/NO01hAYiAnbKWH1ANM+W P/0MH0JldYFI3bcAJTJI9DSk4/br4oLqT/NRXf05qYyuIQSkCtS88A4pmv95 5rxvGNE8pWHjfPcWlX0gV5mfGEZgp556QisHWYoeHtF1x+1XmMwzW7PRnb6H CjLJwyjocK0ViTcTjbsqZPfRjiDI1Px37U86Cmo0bm4WG0FB2pp595qeIxFV r9mSndjBHnXU9GfIYLFkxxNn3F88KcDSIxUNWAweuxeI238ZPLQrTUa+RcxX /ksYQTTTNOm0uU9RRsDxglP12DIZix4ViejgwLUu/UHc37jw3q/BePTjYNLK 7g3c3pV5PJ4vDrGxjO8V2DaKghgCtwqmPETnowNK26JGEY3i7Hup1tuI7vez fkoG9jHm5KD1EPT4VB3N2wpsUYfsTweCUYMEv27kErbIkLnoIV/kcEPTyZ9z DNFc/fVa6toVtP7rzK0L8thaYmf+lVxEyq9e1xpaYt+xGlhQtkJVrC3jmpex dxiE/nftILJxX2RVvIdd1loRkqZBWWoRURZ+jh3EYFp80JwSoaZjzFRCtLcX dkyepcjFOl783Ynt/37X52MulJLlO/eHZ7BtojP0Tl2kTBd3tFVIjyOauv86 L5CvUkKl1ubzNLHHt2x5GudDkQiW4k87hn3/5R3Pn76U/CHdXVHnsYWqVQIX /SjG+m4WN0Kw6fiXzPr8KcOv7/t4PMX2Uug+9zSQ4s+en3CmAFuC86GUcBBF wON7kXELdkRwpGJDEOVN27/v+8ewF/4wRrkEU/R3ym0o0UwgGnX2lBhqMKUv zlBCTJSw5t/LDjcpPqse2qzq2F3c1W5lNylcp2NtV42wGaWefGQNobz8/PHG mCP2i1nZVJ0Qig6pP7XLH/sxJ4ONXQil6yZDRXUcdgPTgLJ7CMVjZOtQfg62 +DkbE+cQyoDtd5byeuyAs+3Dh0MoJ7rvqDYPY2/E/DfDH0KpOaZp/n0TmznG qKj+JkWzcey/EbFJRMM3tzfO7SYlSy8hZX43dpS2dudiMEWqVL/6rxl2/H/b q12DKVEay5Os7thvOk3f1QVR6PNe8AiFYd8Xqu3jD6L4KFnskXmGPZw5IxYX SBl/zmCj+hlbwjSY7oc/5bRkfvC+bmwtfY71ZT9KS7zjK/1F7JySY2HTvhTg 4W8+zjWFaPr6BHYU+1De361YsN2KffC7iJ/jVUqiP1nnmh12Ns8A720PCtty m2OIH3ancsy7ZVdKwKWguw/isNusf1VKOVIcHPo7XzVin7VLe+RsROn8eX/9 /Sg2jY3i8flfOoctdEhltNOIhqf6bAaTMVIxSLrQrYGtuGONL9MZJZcbPxw+ jr20aVd59iLi3f/nw9xF7D96d35neaHlbafpWNOxOx2s+Oiuo3J+0Ud7eWZw /8mZlfu30a7IutJDytiHmY38Vu6gl0y+w8f0sfPvZ9p4hKOIta7t5/2xH80a qOlGoZP9sTWPx7Et95i/yY5Dk5k8SxtlsyjIWsCR9lsqspErE2XpwXbJyjmZ noZaky4hgZVZBKp31K9dfYbyo1ruqWyjIhodu4wpiXR0wyeCfOYRFUHRI4pt 5CvERg5V6NecQxBx9NzVwRxUp/Vwe+ChOUSjUqRWV/MW3bZM1pA8PocGBBUO +p3MRXRRRYdPX5hDJGOGvtMoD63/m3b5loT7p97ODRN/j6Z6LF630s2joPrh QMn1D6gpUWFrWdM8MmM9ofJag4Lu8zQqpZ1dRHOFTwTSb9chh5/mFPqmZZSq pz3Ug++ny9WhDpcU1pGTqxVIhfQjqWF9puWd68ik+e/40LN+1EjHmukP66hu aNA/rqIfbYHI+bv4u2R46za+PpoB9P1TXFB6+DpKFOiXDUcD6EDuy+Tv1HUU 8r3MZv3TAOJ9UvdDt2gDUSo2WFgzf6E8T44TIoZ/Eak45ARyHUJNj/n/e3Py L6L7Uyyf7DOERqvEUg46/UXVNO2uc6FDSEx065T7jb8ogvOK9qW0IRRafiik vOAvst1bqdv1fQid5Lvx/rzMP3RUvkjpiMEwWn8/z/954x+6/ybKZEx8BAn0 re49zrqJ6BqaHxUpjiBVFpqzY0KbyNaKITdg9whytOHK5lXfRP+WvI8PmYyg JgZlvXOum/g7goFFMngEJVs4XeX+uok6tX5STYZGUNr1C5M7TtFAkFVy6Zfk UbSjjHU17AwN9LdORLvgc7yM4TVjvyMNhD7f47DwfhQNRA6TIj1pgC3Ji3my bhRJpZ45NXGXBjov19I7LIyix1WmVWklNLDHLTjwP90xFM25K5lPhhZy7bU0 LvaNIZnjX7LcFGkh08RUsmlsDOXFe34sU6UFLcm/78nzY6hN+k2nx35a+ESv wZ5HP4641OXZG81pQcEnhNVecRzdOyniGxJGCy5a3XfZPcfRzZQ/x5amaaEo /5XUh9VxZLaj6LLyIi2IT58NasbnplT5lYcOa7RAzj+f08MygT4NTra1MdJB WSyEDYpMoIUt303fSNGBPDXjS4TmBHLILjh6zowOVjszBe19JtCBjx6G3e/p YCGwJUp9egJxGSm5cX+ig9NHC2VNFydQz4+RO/pldCBg+ELXaX0C+f6xqctv wv0t6g76skyiXHTk8MMROpA4mTF2WG4SkWoUDhkJ08NhdSfacGt8TnUMQIkf PbiK5ws3lE+i0InSNL9gerg0ycUaXjeJWGmS6PbeoYeo+xxCeq2TiG+bVVVB HD0klFilJvdMoi1h7Yff5tKDmL+k3vLyJDLaX2HybJQers5YauxRmkIxz5/b 3DnOAEtHPm9RCZ9CIp+CP+tbMUCbQ1TJv6gp9LTNTorxLAMY/Nd5siF+Cr38 Kz4QfJEBGEKj84yfTaGiU7GO1+8wwOhWscp/RVOoh/3WeY9SBsgPWr0kNTKF 5K+e8zVXYoSIX1/2+2tOo237+k+k7GCEXLllsoL2NNpFY7l9cg8jTEQde9t0 YBodjDAcvaHLCA9KSzuZj0wj23QV8ywbRgh26ujVOTON4jsXttM9YITkuzMh +UHTiHH3jbG3i9gNEccHK6cRx8ZKxfoaI8zcq9s6XTuN+Mo9kw/RMIHYzhCj +cZpRDrqYPGTgwlinWuuz3RMIy3nQ5VM8kyQGlAilzM0ja7GsaecsWQC3mbF BnO6GTT8O+Ek+2cmqFk75WmpNYOeHdh5pbeSCcIpcnbSMIPsIlsevG1ggtut j71+6c6gH3KM9Se6maAqrkvy1JEZ1H7Ca//TRSbgU/tGZrWeQaV5xqRtSsyQ amZWEeEzgxIu0k6aJDCD4I9eEc3sGWT+8SkTOZkZOGYPb/F4O4P4GDVlF9OZ Yd/pD5sp72bQ/aceNgnvmGEPuVB9pWgGhTb+bOlvZgan6+OSV6tnkOfWD+89 GVjgqEODe3bvDDIaOR8QfZkFvpwpmNVgn0X6AbLZer4swKBw226YcxYdFOz5 sRzIApHHOU9G8syifYeOap6OYIHMs3tHOgVnkdKL7Yuyr1gg1nCQbj9pFrE7 L7kW9LCAZvvE2Llds6hpOMC8+zAr5Fqpelpaz6I6/z0h90xYwYVtt0OSzSyq EqDmaVmwAvfFA6f6bWdRid5Z7jQHVhhZCLCydpxF2ekHG9wCWME9i0Vxm/ss inRiho13rFBEesVtGDCLTIajlKWk2ICmZ/775SQ8n/Jwp40cG+xkMZ/QSplF R65oBD5RYoMYv8BSxrRZZEDX1yaiwQbMZjeqotJxfiRlH34zNrj90CcsImsW 7bapLmO5yQbFImyKkh9nkUTnmsXiCBuc2N80/v7LLHosfnRTbZoN/DvGbmt1 ziJRx9TXngtsMKtRpln5dRYJLehvzPxjg7jSyIGG7lnEwxObOi7MDt7q44GV fbOI3lh1qteQHWwC/oyfnpxFk5UOQXVv2OHoIdq7mjRUJP2w+/z9fHaYldxG TqelInNbEwvzYnbYEfythpOeikpX9yoN1LGDVF6S3k9GKorextu5MsQO17fI m9ixU9H+BIqCghgHJNs0feIUoqKI8xKtt25zAOlTMEVAiYrKNaI/HonkAPn8 Nzn6ylS0zMCSzhvLAc+LYdlHhYrOpiz6JqVxwH0bj4QvqlS0q7NBpqCEAwLr Xtv57KSiXu3/fIYX8PiDqguXtahIlbdLUteOE7yrh9Hho1Q0Gjl6M86ZE9ie ae/WMKGiJLaVsbELnKD+R35hiykVcTCIvIvw5QTJbtr6TTMqmly20u96yAlc dqtCL8yp6EVPr4dbFSc8tz57rfA0FUm8HqE82MoFCu9rRBjdqKhTbllucDsX +HZytbVhh6cx3du1hwvkQ+77PzlPReuPFcy/H+QCPhP5T9vcqag70m1cxoYL Dg+fmDx0iYpirszwfLjPBVT7uzv1vamIDf2271nkgsFuFu4HQVTke0CR5cM6 FxhfeLbHKBjno3s65wEtN7xfyTrOcJOKKgzK1w9yc0NZ96OL3iFU5Hc8MiZD iRuO5WdbHLlNRVPOW6p97LmBLY5rS204FTVFWCjytnJD+/TEGZZ4Ktr34E7L 5FduMBX58DEd+/XD4qtVPdygdlJ3FyRQUWg8ufzaJDf46Tndu5pIRVJtyypU Oh4wDBfq+fKYirq+V1RbSPGAafm8tEsKFR2esV6RseCBPkYHl+VXVJQsENJx w5IH/gkl3/R5TUVL+7Pe9pzmgVnT+LHf2Kn3NlziHXhg3+at6IUMvF4KT7tZ PXlgs2Tm9lAWFWU79H6cu8cDPbT7StPfUhFPt51/aRkPfDBLYsj6QEXnNsMs xat4ILLGSEmokIpK5HN3+dbywMjFoQ9B2G7eNDNqLTxgLLTCbF6E14sv7cyL nzzgpB6ZsviRiq4eHdSJWOaB/uKUE8KfcX0qnGitVXjBev2twXIFFc0d+CEW sJ0Xrh3IbTespCLmctNdqeq80CE/PfkUew9ln8uoJi+c3q/WdqCKimKLeZq9 DvFCdFzG1dvVVGSaX5IYbssLPGfEn2zUUlHNC4Edn6N4gS37EMejJirqk7tn OBDDC3KRYWn92L+fbzrQJ/CC+63ub1uaqUju2WScYRIvPFSq2JqHfTO5bONr Bi8EvBG4XNlCRToJ7rWzFbwwVTk639VGRQV3qmxJv3nhv6bQmpJOXE+jRpGw VV5ICGS0/4v9mOPLl5kNXmD6VvxU+ysVBUX16xfT8UHJRZr1EmzjxHXVkzx8 wPHN7XRhFxUNvtqxGa7MB0tUs51PuqmIq/Zpyoo9HxQ8+H1PpoeKaO8+t7J1 5gPGuITDlthLRpn81a58kGP4Jz8S+3tLYVj0JT74VvHr+Qp2eteXS9sC+MCA dqKvthfvv1EWcEzkA3G5Mzus+3E9Gb0HWlr4wFNdTMNwkIrEpOu/bbTzQefF qhkv7BZNyVbFr3wgwpl3/in2Hvfqzzd/8sExSmDRLDZTh+CTPeN8UDGpmB01 hN/f1A8WybT88EI6dXfDMBUN719tuLiLHwR5LQcEx6go0cK44rEGP0i/0Z7X xDa+lPqxdh8/WM+0tp/Gzn9m8Jp8gB+OPVOgT8MOZX106+tRfjDizty2dRzX 59te0Hbhh25H5o4dE1Tk6HW9gOMxP+QIiU5ITeH41PsKtibh50V+N+/HZluA D/qp2JOG4ZbYuZeZCoNe8sNRSfWoh9h/PB8WLb3jh8oH9XW001QUf+lVcU8j P2SpXJf9iV3v3lGe/Zcfmi4JzXvNUtFTlT0V9TQCcI6L9Ug4tud0YsUovQCY 0NSFPMcWcretJLFh/zOK7sB2uDBRFSskAB/0ahTUqXg+t81a/+0CsJv10akJ 7O0uyi3G9gJQ0D82CPN4f7pJX3rjJADf9nOQTmFHuPPzcLkKQP8Eg9ZF7InL G8daPQRA6Q3ifYT93L/x6zF/AbgwdXkPFVs4+kLvyQQBSJW4mRi3QEWbJVnT Z5sF4CQ3LUPTIhXlUFIiy9sEoFM3yrcP26YiRlWmUwC06O+0z2F/rL3uOfQD 52dppCa4REVXvhxZch4XgEsdRtk22GNjUxvn6QUhrKY0bxS7lU+F3XuvIGz1 imIa/43fj4sXJ55oCQLjvVtHl7FzanNqK5Ag1N97GsSwTEX3/dVCefQF4Vl9 dhYJ23h0z9+s44JwjT5ExBK74eMB6uAFQZBh6rGvxK4+e6rDLFkQjN/4n4xY wfdRcWLetTRB8FEdPZaInS7440FyuiD8mfHWSscObbAxns4UhHRv5/5i7IO7 HKrDCgXhajWv3SR2GfPFwtI2QXC3ZLHWW6Wi4pybT1TohaDVyOTXNDaTsYVY ApMQKG13ql7BPjah8IiWTQi+8vxOpFvD+cs2x3fxCIFl0gCXCDb/I+HoICkh uBJrrHkQ+0JI9p3OvUJgUj0SG4Mtbtnl7e8pBCg0nEd5Hb9vv18vjV4RAl8f Ju5d2HnR168cuyYECXMVm1rYh5tJl+UDhWD6qFWRCfaVgxfc28KFgOuc253L 2I0qNI5yr4Rgy2pwYT72dVols6ZeIbjeYtCttoHvKz32bvlfQvBP6ansXmyz O9N2wcNCkKq85AjYctxvL+2ZEgJP8blKE+wmiV0PUleFoL6qnu4CtpSmTstV fmEY+xh7Nw27wuO4saShMOSycSoy/6EilXc7O68ZC8P7P3/VOLHjfwvYfDEV hoD0IXV+7Av+3y6EnRSGCp88UWlsgXs24fOOwmDx095/D/a5F+caqgOFwZG3 Ps0Rm63Hz8AjXxi+OarVFmLvuZbB+aBQGEL26Vwuwbbn6/7y9pMwJGcUCZRj FxnsPjNfJgwJKWIGDcR4BdTLV5uFYa9cnH0Pdvl9pyd+o8Jw6vhhl80/xH1u MntbRAS4/vNdg794v/T4v38lLgK3ZrcN6mG3XsvyrZMSAe2zdtUG2PI5LPRs W0SgacH8uhl2h1ilcKSaCHRN27+0w1Zd0jgQYyQC+cfebPpjj7wkx6b4i8CO 58Vz77GnQ3+t0QeJQBlvSUAh9oJDmp1riAgs9h9hLMamkSYrq90TgZjnexkq sMUSSBUVCSLAR69a0YptFiY9N/JOBGaOBhyaxC5xkTRWmSD6z6eJ/6OiykO9 eVHTImD+WCxKCrtBNkn4N1UE9uqV/0fG/tYvMfR5WQSuPEtDCtgLpyT8TBlE YUnaKV4dW9FA/LWXtCgYf3/qbYAdqyjK8NFCFMqFdBUvY9vYyr8ashSFGqUc tyvYcrE7jbhsRIGxp/+VN3b+5tEoRwdRsNiRLeaH3dl1U4Lrkig4hgf9uInN f2t6l+MdURi2+1MTgx39i+LMWSwKdcjq4ntsa+FmFs1SUZD/2GtagC1z9EeW Q7komKGM7YXY74qW5gtrRYHFSG7sE/aXB1sDHTpFIRv49lRg8+rExBfOiMKN OY5TbdhRj8/V2pPEgFvCjzKJfc3n5hV/WTHY4rXDaBrb9niydIK8GGywU77M YKuwdV1rUhGDBfVLvXPY9f8dUtTYKwYaLg7fl7HprOTuchwXAzm15ot0m1Tk LTxoVBgiBnrhfmIi2DaLf5fbb4tBVIOcsyi2Xqvo8+m7YlB2f/WNGDZf2LEN cpQYzDbL75PEzlkuy4p4KgaBMKIlgz3+NYXDoQC7VGZWGds69kwLx5gYWB14 wauDLfGeTfzCpBiwda5oI+z+9kKX+hkxWCq94QrYTtx8tLeXcDx8e4sOYnvc q9m5SSsOugMxBw9j3wza/mheQhw2XmwwmGFnuNM6dR0XB6om6dhZbPfwnNxd J8UhxumdgT22aubpv9FW4vDxfrWOA/a7sYJ407PicO6Er7wTdonD+fq6i+Lw ufXYsAt2m2WHavEdcfAijYpfwl7Ve7GWUioOx5r0wv2x/YtTQqrKxUGlvtkw AJtG/THnRJU4TJboMQdiM0s/IKs3isMoD92NG9hCa76GVd/E4YTML/ub2Dvf GD8anxMHjxfnlsOI/ASXNNVkJUCJVtspGnshfLbCQl4Clt+o08cQ9aGbMPbb KgF9UQfTCPtTe89WbpeA7qAPP2Kxw+tr71hoScBImaBuAvbrgCfd/1lIAKtm 1eQT7KGRg74VYRIgo5+TlI59MKXlmVK4BKw42mx7gZ1qad0cfV8C6l8qlhC2 bbws4xgnAS9cyd9eYv/ITW2ify4BW/1K6DKwv1z/RzpUKgGdxb1qb7AreD/V 1y5JAB91aC0fm9x4aGn7qgQoG/B5FmAHhbZLJW5IwOWZ0BHCOivjV1zpJEG4 Yn/LB+xPPcJSrDySICbOk1BE1OeVt5eRsiT41JxiLsF+pq0m3mwvCRJdoecr iPlM2EI2nCRBPFawmvCg3dDkVldJ4KeVla7Elr0Z9+m2hyQE5ha2E06vWbOC 65Kw5dfgjmrsF6YVie9jJaHaTaC7llgv+xNCj2slYbulZ3MTdp2XSmBdgyTQ jE6JNBP7OYRxdLlZEphdVxwJK74sLDjRKQlVjOWrhDMmxS04f0lCSoeaZCt2 5pXhmKB1SVgWlD3ejv3mljevyzYpsJfivvwVe1rrzM1bO6TAPeBZDmGVJb3F 5zulYHx3/xThTAeBrwN7paDz8CnnLiI+9D7RWl8K9tGYm38j8lmbkzaxkwIb xscy37EfX3RX3f1QClxDN4N7iHrJmaeciJUCOz2HAsKiPft5vBKkIEDfb5xw ohH7Qk6SFMytNh7txY5TyCxQzJSCT+70gn3YUb/GtCQqpeAn2hbfjx1m4XiE /rcURAlWnBsk6mHaY+O8KgXOmtZxhEsMLTxqN6RgRDijkvCC9uGH4XTSsFPA WXqIOE/klb/x80jDPz7HDsLqKwsOcsrSUJ/Xv20Euy/xpt8he2nYVSidO4a9 Fr0R/spJGobHtnQRFoi8msTqKg3GCtQNwobB58qaPaSBnNukP46d72bEdNJf GlbWy74TvrePL/pcgjSE/11emsDe3ZOWEdYsDZfWeuinsXlUXVfftknDO3Nh MuHpG6qHuzukwSJuqw7hdNniYcUf0rDjyLdrhAUudEo3jErDa0WHCcLr/vRH mGhIwPvyXvUM9nf2PeUGoiTw0DFxpGLX7Ho03iNGggzf6euE88/84b4sQYL2 JOdYwlFvK2wfSZOg89ZEFWGDE6Z/JraQ4G+XttwcdtFjV41wdRI0txn0EE7c +uRN8xESeH46v3MBe2lR/0XIURKYjYUaEjYtXXi615QEm6+v2xFmOmEU8eI4 CX7S04QT9vZfOx9gRYK42gsDhI+3nlLc5kKCf4yctxaxObwFnkfcJEHoKYfC JWxXVPb4YCgJXhgm1BOuZHWPXr2Fn3+U95OwX3JlsNNdEjC6J2wSnqj1OqsV RQL28O36v4n8xdolp5NIsHcys4XwjbLIxCMfSWCfcK9xGXuytyx27RP2FY0f hE9uLEa9KiHB7lNN44RV9ljfpS8jgVxHDuMKdneWvF9xDV6fEWsdwuoJlNPK nSSIqbmcRXj04rwUO5UEGpPZ3qvYx8LlxD/OkUCm6GUw4ZLXp4RdFkjw4Gpk JOGYoc/clb9J0GAh84IwWN2juf6HBI/pPToIP9aTHZxkJUP86bcqa9hHxS1e NMiRYfTK9BfCicOqZaflyZAUtaWH8PAblp/TCmSg2pqNEPaHEh5uZTJ4OFxf IZztLOt/Qo0MD49uFV/HZsudP96jTYY3G8t2hGv17tPMniTD+bmpfsJ8XK7i NyzJ4JkRMkbY9tuBPTzWZKDP5aYSXnb7fUH9DBmM1xj+EZZ/YPPNx5EMftXn xDewQ78r5WxeIoNuuKg54QMetad575Khh7HlM+H17gn9qntkSN2dUkU4X5dD /VoEGT4XOTcSlhc9xtL7AMcr29FNmKPqR/7reDJoeasvEu4WneWEdDJkW4jJ /8H2rBYo86CQIUXY4hZhpR0aWeRyMvzSYQonPPTYKr6zAufX/jaK8EnPZPd9 NWTw0px+QlhLXFGUqZkM2lxs7wizXN7vlfSDDK+6v/cQTpFwkGv6TYaJ8XqV v9j7diqrOqyQ4QS3phrhTsMljdVVMmg+TtlNmOXa7SNyf8gQ2GutQ9izPdPL n04GJkRvmhKG24tlKtwyYH4+xpPwIDX0TKSiDNi7lb8h7M9k4iKrJAPB0jZ5 hIUkhS9/VJYB8X1z+YSNjDJCR1RloP4pQwnhd+nNWdq7ZYBZpK+ecIiV0PrM ARkQGT0xTFiu8lW8yWkZ2NMdLvAPu0VlNb3HRgY8+q2ECfvGG7w/bysDf8/J iRFudJtovW0vA+SVHGnCXjzKrBQXGUgUf6xEmHIm5/r2qzIg5l2HCFuv5p/l iZSBkPO3XAgzODBeSr6P4/MfciOc02gRoBIlA+e5ddwJ06YsPzKIkYH3BeOe hF8f0uwIeoTbmQT8CP+OLj40/0IGvIoqwglHbatQ+lIqA6O2Qdn/7695mvVm mQxsM07M+X88uktjahUyoCaenUt41kr+xcNqGThpW5tP+Mjte9LHmmRA57+m EsJM/ccF2r7LwFVa3ibC16OG/jYvycB074MxwpkvBYu3rcoAR1DtJOHuksO+ kRsysJC2MkN4z0TWgjGdLDA6H1giPHfg6lgjtywcHfej2cQ+t8jQXq8kC/ZD t4QJn7QPbaRukwX+XCExwvqt9DWCarJQvZQqQVg+i67YXkMWtoymkQmPONC8 WNOVhe+uFsqEnb5s+G49IwtSsze1CZvD9SumZ2Whcl8WIqyXs37R21EW3Dab DhCWu7fmUO4mC9lzfw4RHjqwYmzlIwvbrnCZEHbIWyDdfYDjydA8Q/jOb+/7 UfGyYLl20J5wzt61jYQkWbAe0HAmvFa+2fUyC4/n9cudcNQXjsiqWlmwfb3z OuEPQlHrjS2y8DYnOpBwjzW/a8dXnN+RnmDCCkOiuoNDsqBhtP0OYWOFpNyJ SVmIydIMJ+x1gSQ1P4+ff65yn3Di2+fhq6uyEKHO/pBw6aL82uYmjt+yM4bw /wACB+9i "]]}, Annotation[#, "Charting`Private`Tag$50119#2"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0., 9.999999795918367}, {-0.1, 4.}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.676863340370306*^9, 3.676863381848548*^9}, { 3.67686352641483*^9, 3.676863530492674*^9}, {3.676941620445503*^9, 3.6769416999510508`*^9}, 3.6769417878060627`*^9, 3.676943052503591*^9, { 3.676943084721781*^9, 3.676943111963891*^9}, {3.676943172718781*^9, 3.676943212122427*^9}, {3.676943310801765*^9, 3.676943319087628*^9}, { 3.6769433618094387`*^9, 3.6769433669811687`*^9}, 3.676943515733314*^9, 3.676943577523851*^9, 3.676943956791473*^9, 3.676944055217182*^9, 3.676944092035901*^9, 3.67708828947618*^9, 3.6771821733047113`*^9, 3.677182584592206*^9, 3.677187442203373*^9, 3.677201636885704*^9, 3.677203846337997*^9, {3.677207285460362*^9, 3.677207333096538*^9}, 3.6774634557540483`*^9, 3.677768794488146*^9, {3.677770453811016*^9, 3.6777704805298567`*^9}, 3.7933222111535263`*^9, {3.7938514934109087`*^9, 3.7938515028653173`*^9}, 3.8232276443341637`*^9, {3.876789123588122*^9, 3.8767891631442537`*^9}, 3.876789193962634*^9, 3.8767893623896313`*^9, 3.876789424908842*^9}, CellLabel->"Out[82]=",ExpressionUUID->"b8e9a51e-001d-4f98-93c7-d988d28a7161"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"T4atf", ",", "SFK4"}], "}"}], "/.", RowBox[{"a", "\[Rule]", "2"}]}], "//", "Simplify"}]], "Input", CellChangeTimes->{{3.676863286002529*^9, 3.676863286666284*^9}, { 3.676863424410009*^9, 3.6768634559346857`*^9}, {3.6768636526389503`*^9, 3.676863660453395*^9}, 3.676944138117234*^9, {3.67720399783318*^9, 3.677204037052644*^9}, {3.6772065687381477`*^9, 3.677206570607246*^9}, { 3.677206726751233*^9, 3.6772067371576557`*^9}}, CellLabel->"In[83]:=",ExpressionUUID->"dc0780d1-ec62-4697-878f-688b6b556d0d"], Cell[BoxData[ RowBox[{"{", RowBox[{ InterpretationBox[ TemplateBox[{ FractionBox["4", SuperscriptBox[ RowBox[{"(", RowBox[{"2", "+", "s"}], ")"}], "2"]], InterpretationBox["\[InvisibleSpace]", None], { TransferFunctionModel, { False, False, {False, False}}, $Failed, {{ Control`CommonDump`$DUMMY$}, {Control`CommonDump`$DUMMY$}}, InterpretationBox[#, TransferFunctionModel[{{{ 4}}, (2 + $CellContext`s)^2}, $CellContext`s], AutoDelete -> True, Editable -> True, BaseStyle -> "TransferFunctionModelMinimal"]& , $CellContext`s, 1, 1, Control`CountStates[ TransferFunctionModel[{{{ 4}}, (2 + $CellContext`s)^2}, $CellContext`s]], 1, {}, { False, False}, False, Automatic, None, Automatic}, {}}, "TransferFunctionModelFull", BaseStyle->{NumberMarks -> False}, DisplayFunction->(TagBox[ SubsuperscriptBox[ RowBox[{"(", GridBox[{{#}}, AllowedDimensions -> {1, 1}, GridBoxDividers -> { "Rows" -> {False, {False}, False}, "Columns" -> {False, {False}, False}}, DefaultBaseStyle -> "SystemsModelGrid00"], ")"}], #2, ButtonBox[ GraphicsBox[{ RectangleBox[{0, 0}, DefaultBaseStyle -> "SystemsModelSuperscript"], InsetBox[ StyleBox[ "\[ScriptCapitalT]", DefaultBaseStyle -> "SystemsModelSuperscript"], {0.5, 0.5}]}, ImageSize -> 20], ButtonFunction :> Control`Typesetting`SystemsModelTypesetToggle[ ButtonNotebook[], FE`CMObj], Evaluator -> Automatic, Appearance -> None], MultilineFunction -> None], EventHandlerTag[{"MouseEntered" :> {FE`CMObj = MathLink`CallFrontEnd[ FrontEnd`Value[ FEPrivate`Self[]]]}, PassEventsDown -> True, PassEventsUp -> True}]]& ), InterpretationFunction->( RowBox[{"TransferFunctionModel", "[", "Unevaluated", "[", RowBox[{"{", RowBox[{"{", TemplateSlotSequence[{1, 1}, ","], "}"}], "}"}], "]", ",", "s", ",", "SamplingPeriod", "->", RowBox[{#2}], ",", "SystemsModelLabels", "->", "None", "]"}]& ), Tooltip->TransferFunctionModel], TransferFunctionModel[{{{4}}, (2 + $CellContext`s)^2}, $CellContext`s], AutoDelete->True, BaseStyle->"TransferFunctionModelMinimal", Editable->True], ",", FractionBox[ RowBox[{"4", " ", RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["s", "2"]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"2", "+", "s"}], ")"}], "2"]]}], "}"}]], "Output", CellChangeTimes->{ 3.676862887793323*^9, 3.6768629334664593`*^9, {3.6768630047513247`*^9, 3.676863045573859*^9}, 3.676863252851549*^9, 3.6768632870050297`*^9, { 3.676863425022461*^9, 3.676863456503584*^9}, 3.676863552700431*^9, 3.676863661282463*^9, 3.676941673739051*^9, 3.676941787951723*^9, 3.6769430847558002`*^9, 3.676943577544424*^9, 3.67694395683952*^9, 3.6769440552823563`*^9, 3.6769440920996113`*^9, 3.6769441386747*^9, 3.6771821733443613`*^9, 3.677182584633905*^9, 3.677187442244882*^9, 3.6772016369326153`*^9, 3.677203846381617*^9, {3.677204001346397*^9, 3.6772040375498533`*^9}, 3.677206570983317*^9, {3.677206727487701*^9, 3.677206740733493*^9}, 3.677207285589492*^9, 3.6774634558403177`*^9, 3.6777687945823727`*^9, {3.67777045390863*^9, 3.677770480622116*^9}, 3.7933222112324142`*^9, {3.793851493464587*^9, 3.793851502918696*^9}, 3.823227644388749*^9, 3.876789194023343*^9, 3.876789362484865*^9, 3.8767894250070667`*^9}, CellLabel->"Out[83]=",ExpressionUUID->"10a6bc72-412c-42dd-9334-d7a5b28c9657"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"T4atf", "/.", RowBox[{"a", "\[Rule]", "2"}]}], ",", "step", ",", "t"}], "]"}], ",", RowBox[{"OutputResponse", "[", RowBox[{ RowBox[{"SFK4tf", "/.", RowBox[{"a", "\[Rule]", "2"}]}], ",", "step", ",", "t"}], "]"}]}], "}"}], " ", "//", "FullSimplify"}], "//", "TraditionalForm"}]], "Input", CellChangeTimes->{{3.676943223037129*^9, 3.6769432318593817`*^9}, { 3.676943292872799*^9, 3.676943293415347*^9}, 3.676943356484541*^9, { 3.6769521041649113`*^9, 3.676952141124073*^9}, 3.677203837972032*^9, { 3.677206714936034*^9, 3.677206719550173*^9}, {3.677206766116406*^9, 3.6772067942752037`*^9}, 3.876789174367876*^9}, CellLabel->"In[84]:=",ExpressionUUID->"b827a3f9-3c5e-447c-8527-ee4099093057"], Cell[BoxData[ FormBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{ TemplateBox[{ RowBox[{"t"}]}, "UnitStepSeq"], "-", RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "2"}], " ", "t"}]], " ", RowBox[{"(", RowBox[{ RowBox[{"2", " ", "t"}], "+", "1"}], ")"}], " ", TemplateBox[{ RowBox[{"t"}]}, "UnitStepSeq"]}]}]}, { RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "2"}], " ", "t"}]], " ", RowBox[{"(", RowBox[{ RowBox[{"-", RowBox[{"10", " ", "t"}]}], "+", SuperscriptBox["\[ExponentialE]", RowBox[{"2", " ", "t"}]], "+", "3"}], ")"}], " ", TemplateBox[{ RowBox[{"t"}]}, "UnitStepSeq"]}]} }, GridBoxAlignment->{"Columns" -> {{Center}}, "Rows" -> {{Baseline}}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}}], "\[NoBreak]", ")"}], TraditionalForm]], "Output", CellChangeTimes->{{3.6769432266748667`*^9, 3.6769432324386387`*^9}, 3.676943294156443*^9, 3.6769433575500803`*^9, 3.676943577810012*^9, 3.676943957031227*^9, 3.676944055515032*^9, 3.676944092292334*^9, { 3.676952133164887*^9, 3.67695214179174*^9}, 3.677088289780767*^9, 3.67718217359799*^9, {3.677182572402452*^9, 3.677182584920532*^9}, 3.677187442528214*^9, 3.6772016371969757`*^9, 3.677203846643539*^9, { 3.6772067673697777`*^9, 3.677206794816297*^9}, 3.677207285967536*^9, 3.67746345614499*^9, 3.677768794904138*^9, {3.677770454242188*^9, 3.677770480967134*^9}, 3.793322211403563*^9, {3.793851493657827*^9, 3.7938515031090927`*^9}, 3.82322764459888*^9, {3.876789180375957*^9, 3.8767891941936817`*^9}, 3.876789362657102*^9, 3.8767894251964293`*^9}, CellLabel-> "Out[84]//TraditionalForm=",ExpressionUUID->"6b9cc5c5-1baf-4195-89ce-\ 1b9c68db89bd"] }, Open ]] }, Open ]] }, WindowSize->{775, 638}, WindowMargins->{{Automatic, 314}, {29, Automatic}}, DockedCells->{}, FrontEndVersion->"13.1 for Mac OS X x86 (64-bit) (June 16, 2022)", StyleDefinitions->"Default.nb", ExpressionUUID->"2c9aced6-2427-40ff-a385-1dab22bf85a8" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[579, 22, 535, 10, 105, "Section",ExpressionUUID->"9bd9fefe-f8f2-4dd9-bc09-c38d9a67cd28"], Cell[1117, 34, 651, 13, 76, "Text",ExpressionUUID->"4a8c5201-3d4a-4358-b238-bc20c98bf3f6"], Cell[1771, 49, 2716, 54, 180, "Input",ExpressionUUID->"65e98b6e-d892-43a0-9c77-4d90f85fe95d"], Cell[4490, 105, 207, 4, 52, "Text",ExpressionUUID->"9a119fa1-f177-4d48-8fc4-7c40cf1badbf"], Cell[CellGroupData[{ Cell[4722, 113, 5019, 130, 369, "Input",ExpressionUUID->"5d542e41-ff5d-4be9-a72b-e39fc92d684f"], Cell[9744, 245, 175830, 2919, 192, "Output",ExpressionUUID->"ab10ab18-fde0-475e-900f-553f3bfa7121"] }, Open ]], Cell[CellGroupData[{ Cell[185611, 3169, 682, 15, 52, "Input",ExpressionUUID->"7c74e168-3bea-4df3-a89a-682ab318c7d7"], Cell[186296, 3186, 1733, 47, 92, "Output",ExpressionUUID->"89cf3b62-195c-4e68-9b26-e9f0d3645731"] }, Open ]], Cell[CellGroupData[{ Cell[188066, 3238, 1182, 30, 52, "Input",ExpressionUUID->"038ba38a-8982-43e5-825f-536104ed9c62"], Cell[189251, 3270, 1034, 28, 74, "Output",ExpressionUUID->"22b215d2-8e6f-4feb-ba10-5faa5c612713"] }, Open ]], Cell[CellGroupData[{ Cell[190322, 3303, 272, 5, 30, "Input",ExpressionUUID->"20020af2-8112-44fd-baf3-d07b4f54ea6f"], Cell[190597, 3310, 1463, 27, 54, "Output",ExpressionUUID->"9b87ab59-ecbd-45d6-ae8c-58b48cee4009"] }, Open ]], Cell[192075, 3340, 308, 6, 52, "Text",ExpressionUUID->"4775a3c5-3c4a-484d-aa5d-38e64b15ab7f"], Cell[CellGroupData[{ Cell[192408, 3350, 3372, 93, 303, "Input",ExpressionUUID->"7aafc2b1-de7a-4ae1-b42c-a905e6b43e3d"], Cell[195783, 3445, 56190, 957, 190, "Output",ExpressionUUID->"68c336a6-b3cf-4377-8401-0aaf848aef43"] }, Open ]], Cell[CellGroupData[{ Cell[252010, 4407, 725, 19, 30, "Input",ExpressionUUID->"053003a9-98f2-44af-8131-22eee24b5edf"], Cell[252738, 4428, 1907, 35, 53, "Output",ExpressionUUID->"11afd1d2-de00-4b79-a75b-bd4f372b519b"] }, Open ]], Cell[CellGroupData[{ Cell[254682, 4468, 1220, 27, 73, "Input",ExpressionUUID->"6610d31e-5652-43cb-9ff2-5b22bcad6dd4"], Cell[255905, 4497, 2483, 74, 136, "Output",ExpressionUUID->"0d287635-74b2-4894-98d2-b620595d1454"] }, Open ]], Cell[CellGroupData[{ Cell[258425, 4576, 1391, 38, 52, "Input",ExpressionUUID->"95e0b675-7ca6-4b52-bd2e-e5ea79f08e59"], Cell[259819, 4616, 1479, 41, 49, "Output",ExpressionUUID->"05bfbf41-162d-4abe-8ac4-421a09aa6b13"] }, Open ]], Cell[261313, 4660, 341, 6, 52, "Text",ExpressionUUID->"63e733b7-036f-499d-a3df-030eefae8655"], Cell[CellGroupData[{ Cell[261679, 4670, 3871, 114, 330, "Input",ExpressionUUID->"d1a9b2ee-73bb-4134-b7a2-8d7c90ddfb9f"], Cell[265553, 4786, 84636, 1424, 204, "Output",ExpressionUUID->"b0de7db9-4222-49ce-b898-449e432ff357"] }, Open ]], Cell[CellGroupData[{ Cell[350226, 6215, 925, 24, 52, "Input",ExpressionUUID->"934d3e82-6e2b-4222-b5d8-2d09f3a1348a"], Cell[351154, 6241, 1861, 37, 55, "Output",ExpressionUUID->"2e38a2d2-4555-447f-8095-63637d9b1841"] }, Open ]], Cell[CellGroupData[{ Cell[353052, 6283, 476, 13, 34, "Input",ExpressionUUID->"9bbea276-e2f4-4a0c-a6b1-ad9de9cd3ccd"], Cell[353531, 6298, 1854, 40, 73, "Output",ExpressionUUID->"24b281d4-ed1a-4318-a8ea-0daddc86646c"] }, Open ]], Cell[CellGroupData[{ Cell[355422, 6343, 934, 24, 66, "Input",ExpressionUUID->"870fe140-c778-420f-848f-fddc466fc64f"], Cell[356359, 6369, 1788, 50, 72, "Output",ExpressionUUID->"aaf7a4e0-1178-4ae9-9961-a3cd32201a2b"] }, Open ]], Cell[CellGroupData[{ Cell[358184, 6424, 2260, 64, 104, "Input",ExpressionUUID->"877dc4e4-17ff-4c90-9dd3-fc5ae95f9a3f"], Cell[360447, 6490, 1252, 42, 55, "Output",ExpressionUUID->"69276a62-b8a8-40b1-b8fd-3ae3a6d06627"] }, Open ]], Cell[361714, 6535, 473, 8, 52, "Text",ExpressionUUID->"9d73bba5-da20-4880-bbec-792a380ec867"], Cell[CellGroupData[{ Cell[362212, 6547, 1756, 49, 136, "Input",ExpressionUUID->"9461ab1b-7c58-471c-b45f-5cb8f4a15df8"], Cell[363971, 6598, 33004, 562, 239, "Output",ExpressionUUID->"2df60ca6-ed07-469b-a695-8f80d19aa823"] }, Open ]], Cell[CellGroupData[{ Cell[397012, 7165, 551, 14, 30, "Input",ExpressionUUID->"0a3dff5b-38b5-4321-857d-29033526d0b3"], Cell[397566, 7181, 1331, 24, 54, "Output",ExpressionUUID->"0600fc43-bdbb-41b5-bb4c-eb3dc411c526"] }, Open ]], Cell[398912, 7208, 749, 17, 33, "Input",ExpressionUUID->"c58ab069-c802-42ea-bf4d-1de12325070a"], Cell[399664, 7227, 428, 7, 52, "Text",ExpressionUUID->"197597c9-a571-4b57-bb78-0dea02458217"], Cell[CellGroupData[{ Cell[400117, 7238, 4452, 127, 291, "Input",ExpressionUUID->"ecfc144e-c5e3-4ede-89c5-c1dfdc484bde"], Cell[404572, 7367, 74303, 1252, 201, "Output",ExpressionUUID->"652da2d1-cd89-4f75-b248-0a5dc49f3033"] }, Open ]], Cell[CellGroupData[{ Cell[478912, 8624, 157, 3, 30, "Input",ExpressionUUID->"497d5b1d-3e7e-4d1f-925c-fe80d1aea9e5"], Cell[479072, 8629, 1746, 36, 57, "Output",ExpressionUUID->"959912f5-bf61-4953-9e01-3c0cf9adde3e"] }, Open ]], Cell[CellGroupData[{ Cell[480855, 8670, 757, 19, 33, "Input",ExpressionUUID->"42962125-494c-492b-95ec-91b20eecb229"], Cell[481615, 8691, 1761, 34, 57, "Output",ExpressionUUID->"70b11031-aa13-42a4-8ac7-1d11ff47a695"] }, Open ]], Cell[CellGroupData[{ Cell[483413, 8730, 1626, 41, 100, "Input",ExpressionUUID->"bd6d9a15-4bb3-4654-868e-5435175e3dab"], Cell[485042, 8773, 1420, 42, 49, "Output",ExpressionUUID->"4a4f374b-6f97-4709-8b83-3516872358a5"] }, Open ]], Cell[CellGroupData[{ Cell[486499, 8820, 1744, 45, 100, "Input",ExpressionUUID->"e1c5bfb1-feba-453a-a89d-84205d7b0d1f"], Cell[488246, 8867, 1812, 54, 49, "Output",ExpressionUUID->"d8ec8c2e-00fc-4f04-be8c-fe06b25930bd"] }, Open ]], Cell[490073, 8924, 482, 8, 52, "Text",ExpressionUUID->"974c36b0-0b7f-414a-be31-ec79c4b9ec66"], Cell[490558, 8934, 823, 22, 113, "Input",ExpressionUUID->"9adf6503-dd14-4617-a184-b3dcf761ee8a"], Cell[CellGroupData[{ Cell[491406, 8960, 1974, 50, 77, "Input",ExpressionUUID->"a08e7e67-6995-4aec-b045-a97d95dc9abf"], Cell[493383, 9012, 546, 12, 28, "Message",ExpressionUUID->"bd93670c-58c1-4aac-bd76-80553e539033"], Cell[493932, 9026, 16273, 281, 256, "Output",ExpressionUUID->"69022083-a070-4a32-90a6-02f15460def8"] }, Open ]], Cell[CellGroupData[{ Cell[510242, 9312, 671, 18, 33, "Input",ExpressionUUID->"802dd245-10d5-44f3-93c9-bc9ce494abed"], Cell[510916, 9332, 1579, 38, 59, "Output",ExpressionUUID->"cb35975e-9a96-4106-930d-380bf8fbe249"] }, Open ]], Cell[CellGroupData[{ Cell[512532, 9375, 685, 18, 33, "Input",ExpressionUUID->"abdd52dd-2399-4b18-8f5a-f7fc833e8360"], Cell[513220, 9395, 3117, 67, 64, "Output",ExpressionUUID->"296b4836-1223-4c65-bc02-2cdd35105d9c"] }, Open ]], Cell[CellGroupData[{ Cell[516374, 9467, 664, 13, 30, "Input",ExpressionUUID->"05348777-84e2-44ec-bfa5-bc1a109492a4"], Cell[517041, 9482, 1308, 33, 64, "Output",ExpressionUUID->"15be8f5a-5680-464b-a602-c4c4a610807b"] }, Open ]], Cell[CellGroupData[{ Cell[518386, 9520, 675, 18, 33, "Input",ExpressionUUID->"9f0c3d1b-52f2-4c9f-93b3-b99755db1f91"], Cell[519064, 9540, 3414, 74, 66, "Output",ExpressionUUID->"a1b27b27-0206-4bc7-afd6-6b067e480473"] }, Open ]], Cell[CellGroupData[{ Cell[522515, 9619, 569, 12, 30, "Input",ExpressionUUID->"855e57a8-5456-4b75-8191-c8446d517c8c"], Cell[523087, 9633, 1010, 25, 67, "Output",ExpressionUUID->"acde209f-f3b3-4e63-ac80-a0ad0e9f2c4a"] }, Open ]], Cell[524112, 9661, 598, 11, 52, "Text",ExpressionUUID->"9f0ce2db-f1f8-4c2a-8b27-6a57998ced9f"], Cell[524713, 9674, 980, 22, 52, "Input",ExpressionUUID->"d2d776a9-538d-4dd8-8b46-33d0a02e1dd1"], Cell[CellGroupData[{ Cell[525718, 9700, 2409, 59, 180, "Input",ExpressionUUID->"ef04123c-c4ab-4193-a67a-008d0fe5c0b4"], Cell[528130, 9761, 26162, 447, 256, "Output",ExpressionUUID->"b8e9a51e-001d-4f98-93c7-d988d28a7161"] }, Open ]], Cell[CellGroupData[{ Cell[554329, 10213, 587, 11, 30, "Input",ExpressionUUID->"dc0780d1-ec62-4697-878f-688b6b556d0d"], Cell[554919, 10226, 3819, 84, 62, "Output",ExpressionUUID->"10a6bc72-412c-42dd-9334-d7a5b28c9657"] }, Open ]], Cell[CellGroupData[{ Cell[558775, 10315, 886, 20, 52, "Input",ExpressionUUID->"b827a3f9-3c5e-447c-8527-ee4099093057"], Cell[559664, 10337, 2119, 54, 70, "Output",ExpressionUUID->"6b9cc5c5-1baf-4195-89ce-1b9c68db89bd"] }, Open ]] }, Open ]] } ] *)