20230626 13014800 1.0 FALSE SPA67_ExportFeatures1 002 6275487.790440 6668480.770529 1386020.511374 2122084.599938 1 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 150000000 5000 20230628 22224100 20230628 22224100 ItemDescription 20230628 Los Angeles County Service Planning Areas (SPAs), updated in 2022. This data is maintained by the Los Angeles County Department of Public Health. Other Credits: U.S. Census Bureau; Los Angeles County Internal Services Department, Registrar Recorder/County Clerk, Department of Public Works Service Planning Areas (2022) Service Planning Areas SPA Service Health Los Angeles County 2022 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>The data herein is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying intents. The County of Los Angeles reserves the right to change, restrict or discontinue access at any time. All users of the maps and data presented on </SPAN><A href="https://lacounty.maps.arcgis.com:443/" STYLE="text-decoration:underline;"><SPAN>https://lacounty.maps.arcgis.com</SPAN></A><SPAN> or deriving from any LA County REST URLs, agree to the following Terms of Use as outlined on the LA County GIS Data Portal (</SPAN></SPAN><A href="https://egis3.lacounty.gov/dataportal/about/termsofuse/termsofuse-agol/" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>https://egis3.lacounty.gov/dataportal/about/termsofuse/termsofuse-agol/</SPAN></SPAN></A><SPAN><SPAN>).</SPAN></SPAN></P></DIV></DIV></DIV> Esri ArcGIS 13.1.2.41833 1 -118.953520 -117.644096 34.823532 32.797435 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Los Angeles County Service Planning Areas (SPAs), updated in 2022. Los Angeles County is divided into eight SPAs for health care planning purposes.</SPAN></P><P><SPAN>Updating SPA and Health District boundaries to align with new U.S. Census Bureau census tract boundaries is performed after every Decennial Census.</SPAN></P><P><SPAN STYLE="font-weight:bold;">How was this data created?</SPAN></P><P><SPAN>The 2020 Census Tracts from the U.S. Census Bureau's 2021 TIGER/Line were used as building blocks for the SPA layer. The 2012 SPA layer was compared to the 2020 Census Tracts to provide preliminary information on the SPAs associated with each Census Tract and to determine where SPAs no longer aligned. For the 2022 SPA layer, boundaries were updated to align with the 2020 Census Tract boundary changes with consideration for maintaining effective service delivery. The SPAs were refined to conform with the County boundary and coastline from the Supervisorial Districts 2021 and County Boundary layers.</SPAN></P><P><SPAN STYLE="font-weight:bold;">Data Fields:</SPAN></P><P><SPAN STYLE="font-weight:bold;">SPA</SPAN><SPAN> (Type = Text, Length = 1, Alias = SPA 2022): SPA number as text; a numeric but non-quantitative identifier</SPAN></P><P><SPAN STYLE="font-weight:bold;">SPA_NAME</SPAN><SPAN> (Type = Text, Length = 30, Alias = SPA NAME): Full SPA name</SPAN></P><P><SPAN STYLE="font-weight:bold;">ABBV</SPAN><SPAN> (Type = Text, Length = 5): Abbreviated SPA name</SPAN></P><P><SPAN STYLE="font-weight:bold;">LABEL</SPAN><SPAN> (Type = Text, Length = 10): Descriptive text of SPA for maps</SPAN></P><P><SPAN STYLE="font-weight:bold;">SPA_NUM</SPAN><SPAN> (Type = Short, Alias = SPA NUM): SPA number as number; field type from earlier 2012 version of SPAs</SPAN></P><P><SPAN STYLE="font-weight:bold;">Update Frequency:</SPAN><SPAN> After every Decennial Census or as needed</SPAN></P></DIV></DIV></DIV> File Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE FALSE SPA67_ExportFeatures1 Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. SPA SPA 2022 String 1 0 0 SPA_NAME SPA NAME String 30 0 0 ABBV ABBV String 5 0 0 LABEL LABEL String 10 0 0 SPA_NUM SPA NUM SmallInteger 2 0 0 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAJZA28DASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiimTT R28ZkldY4x1ZyAB+NAD6Kp/2xYf8/wBbf9/V/wAaP7YsP+f62/7+r/jUc8e5PMu5corHPjLQB11z TR/29x/40n/CaeH/APoO6b/4GR/41Ptqf8y+8XtIdzZorG/4TTw//wBB3Tf/AAMj/wAaP+E08P8A /Qd03/wMj/xo9rT/AJl94e0h3Nmisb/hNPD/AP0HdN/8DI/8aX/hMdA/6Dmm/wDgXH/jR7an/Mvv D2kO5sUVjf8ACaeH/wDoO6b/AOBkf+NH/CaeH/8AoO6b/wCBkf8AjR7Wn/MvvD2kO5s0Vz03xE8K W8hjl8T6NG46q9/ECPw3Uz/hZnhAdfFWiD/uIw//ABVT7el/OvvRPtaf8y+86Siua/4WZ4P/AOhr 0P8A8GMP/wAVR/wszwf/ANDXof8A4MYf/iqPb0v5196D2tP+ZfedLRXNf8LM8H/9DXof/gxh/wDi qX/hZnhA9PFWiH/uIw//ABVH1ij/ADr70Htaf8y+86SisKDx54ZulLQ+ItJlUHBaO+iYZ9OGqT/h NPD/AP0HdN/8DI/8ar21N7SX3j9pDujZooorU0CiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigD5t/au8aeOPAeraLe6B4gk03SLy0miFvDDEW+1R5fJLKSQyEAAdCh7nn3 D4c6yniHwD4d1FNQXVjcWELvegAec+wB2IHRtwOV4wcjAxXO/HzwK/xA+F+rWNrb/adVtQL7T1H3 hcRfMoX3Ybk/4H1HUfE1hYWOpWMdxEs8UVwBKY47iRFDc/whgM5J7dzXlqNWGIlya3V7Ntfo9mu2 zR8hjcdUyrGSnJOUJrRX2a3PZvjL8VPHFh8XvE2kaV4muNJ0zT/syQQQW8TD57eORiSykk7mPfuK 5D/hanxI/wCh7vv/AAFt/wD4iuWstNt9P8zyEYGQ7nZnZyTjHViT0qzXTDCKUb1fid9m+r+W3ofG 1syxNSrKcakkm27XenkdB/wtX4j/APQ9X3/gLB/8RT1+K3xF53eOdQP0t7cf+065yitVhaS6P73/ AJmH17Ff8/Zfezcm+JHj2aQu3jrWAT/c8pR+QTFM/wCFhePP+h61r/vtP/iaxqKX1Oh/L+L/AMxf XcT/AM/JfezZ/wCFhePP+h61r/vtP/iaP+FhePP+h61r/vtP/iaxqKPqdD+X8X/mH1zE/wDPyX3s 2f8AhYXjz/oeta/77T/4mkPxB8eH/me9a/77T/4mseij6nQ/l/Fh9cxP/PyX3s1/+FgeO/8Aoe9b /wC/if8AxNH/AAsDx3/0Pet/9/E/+JrIop/VKP8AL+YvrmJ/5+S+9mv/AMLA8d/9D3rf/fxP/iaP +FgeO/8Aoe9b/wC/if8AxNZFFH1Sj/L+YfXMT/z8l97NpfiD44xz4510n2mQf+yUv/CwvG//AEPG u/8Af5P/AIisSin9Vo/yh9cxP/PyX3s2D8QPHeePHWt4/wCuif8AxNJ/wsDx3/0Pet/9/E/+JrIo pfVKP8v5h9cxP/PyX3s2l+IPjjHPjnXSfaZB/wCyVU/4S7xj/wBD34m/8GB/wqhRR9UoPeIvreIe 9SX3sv8A/CWeMP8Aoe/E3/gwP+FNm8TeLLgLv8ceKPl/uarKmfrtIqlRR9UofyIX1qv/AM/H97LH 9veKf+h58V/+Dqf/AOKo/t7xT/0PPiz/AMHU/wD8VVeij6ph1tBC+sV/5397LLa94leMo/jTxRIr DBDa1cHI9D81VlutXGP+Km8QH66rP/8AFUUU/qlD+RfcJ4is95v72SfbtW/6GHXf/Brcf/F0fbtW /wChh13/AMGtx/8AF1HRT+q0P5F9yF7er/O/vZJ9u1b/AKGHXf8Awa3H/wAXUUs2oTvG8mua1I0Z yjNqc5Kn1Hz8dBS0UvquHe9Nfcg9tV/nf3simjuriQyS6vq0kh6s+ozEn8d1MNpMeup6of8AuITf /FVYoqfqeG39nH7kL2tT+Z/eyutrIuc6hqTfW/m/+LqGbRbe4kLyyXcjnqz3kxJ/HdV6in9Twz3p x+5E+0n3Zmjw/ZAg4uP/AAKl/wDiqJvDmn3KhZoWlUHO15XIz68mtKin9Uw//PuP3IXNLuY3/CHa N/z4p/303+NPHhPSAMfYIv1rWooWFw62pr7kTdmV/wAIppH/AD4Q/kacvhnSlGBp8H4oDWnRVrD0 VtBfcguzO/4RvSv+gfb/APfsUf8ACN6V/wBA+3/79itGin7Gl/KvuAzv+Eb0r/oH2/8A37FH/CN6 V/0D7f8A79itGin7Gn/KvuAzv+Eb0r/oH2//AH7FH/CN6V/0D7f/AL9itGil7Gl/KvuAzv8AhG9K /wCgfb/9+xTl8P6YowNOtfxhU/0q/RT9jT/lX3AUf7B0z/oHWn/fhf8ACj+wdM/6B1p/34X/AAq9 RT9nD+VAUl0PTlbK6fag+ohX/CnHSLFgQbK3I/65L/hVuinyR7CKP9g6Z/0DrT/vwv8AhR/YOmf9 A60/78L/AIVeoo9nDsgKP9g6Z/0DrT/vwv8AhVPUvD+mRabdOljbq6xOQwjGQQDW1VXVv+QVe/8A XF//AEE1nKlT5X7q+4Z9x/COZ5/hR4LlldpJH0SyZnY5LEwISSe5rra4/wCDv/JI/A//AGA7H/0n SuwrHD/wYei/I/b6P8KPogoooroNgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAr4W+JXhNfh/8UfEGhRs32OZ/wC07FXByIZiSygnqFk3rnnpyc5x9014D+1z4RkuvDek+LbW FHl0Ocx3Zx8xtZSFY577X2HHYFjkDOeWt7jjVX2d/R7/AKP5Hzue4X6xhHJLWGv+f4fkfO9FFFd5 +WBRRVC+1y0sFO6TzpA4j8mEhpNx7bc1E6kacXKbskVCEqklCCu3sluy/RVPT9Ys9U3fZpg7L95C CrD6g81cpwnGpFSg7oJRlCTjJWaCiiiqJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKq6t/wAgq9/64v8A+gmrVVdW/wCQVe/9cX/9BNTL4WJ7H3B8Hf8AkkXgf/sB2P8A6TpXYVx/ wd/5JF4H/wCwHY/+k6V2FcuH/gw9F+R+4Uf4UfRBRRRW5sFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFZviTw/ZeK9A1DRtRi86xvoHt5l77WGCQexHUHsQDWlRUyipJxlsxN KSsz88reyudFuL3Rb4ML/Srh7KcSDBJQ4DfQjBB5znqetT16f+1B4VPh34nWWvRkiz8Q2/kzZ6C6 hUAHPbdHtGPVDz2rzCow0m4ckt46P5bP5qzPxjHYZ4TETo9np6dCO5mFvbyynpGhY/gM1Q8K6TbQ 6ZZXhgQ3kkW9pyvznd8x5/H8qf4iYpoWoFTg+Q/P4GtSxVY7K3VPuLGoX6YGK+G4sqO9Gn6v8j9k 8L8NCpWxVeSTcVFL5tv9EYvibTLtfM1TTpZEvY4hH5SRhvMXdnGMdef0qzpurQ6oJfLWSJ4iA8cy bWXIyOPetise88MwXd7NdC6vLaWXbv8As8xQHAwOPpXjZRnU8ufs6mtPt1Xpr959dxbwUs6n9bwT Uazte+ia7uybutEvImv7r7FY3Fxt3eTG0m31wCcVm2v9v3ttFcI2nxpMgdUdJMqCMjOD15qS58Im a3eFNVv1R1KsJJBICD9Rn9a27WAWttFCpJWNAgJ68DFd+Y8RVKzh9Tbha97pfLueFw/4eqjOqs6h Ga05eWUvO+3L5GN5evqxJj06RfRXkUn9KjbxF9iwNSs57An+PHmR/wDfS/1AroqCMjBGRXBR4ix9 KV5SUl5r/Kx7+M8Ocmrwth+anLunf71K/wCDRQt7mK7jEkEqSxnoyMCKkrJXwvc2stz9i1RrOCaV pTCsCEKT6E/QVQ17SdR0nSXu4NXuJZIcM/mYwV74GOvTvX1dPifCyjHmi+Z77WT9bo/KsR4fZxQ9 rNKLhC7Tvq0utlfVrodLRUUdxG0anzVOQDnIqWvsb3PzIKKKKBhRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA VV1b/kFXv/XF/wD0E1aqrq3/ACCr3/ri/wD6CamXwsT2PuD4O/8AJIvA/wD2A7H/ANJ0rsK4/wCD v/JIvA//AGA7H/0nSuwrlw/8GHovyP3Cj/Cj6IKKKK3NgooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooA84/aC8DyePPhbqtraoH1OxxqNj6+dFlsD3Zd6f8Cr45sbxNQs4 bmP7kqBh7Z7V+htfCfxE8Jj4ffEzxBoCIYrJ5P7RsFOceRKSdq+yvvX8O9c38Oun0lp81t96v9yP heJcL8GJj6P9P1Oe1C1F9Y3FuePNjZM/UYo8OXn27RbWRhiRV8t1znDL8p/UVPWVp0x0rXLm0lOL a8PnwMeB5n8afU/e/OvmOKMK6lCGIivgevo/+Ce74c5pHB5nLCVHaNZWX+Jar702vWx0FFFFfmR/ ToUUUUAFFFFABTJoY7iJopUWSNhhlYZBFPooFvozHm8I6NcKA2nwjH9wFP5YqG68G6a1nNHb24il MZWNzI+FbHB6+tb1FaRqTjtJnnVMswNW/PQi/wDt1f5HOR2fiGO1ihVtODIApkZpGJA74x1qG61K /wBBurY6nLbyWcxZWlhicGMgZGeT1PFdTRXuU8+zCM1J1LpdLKz/AAPhq/h7kdShKnRpuEntLmk7 fJuzOc/4S7SP+f1f++G/wo/4S7SP+f1f++G/wro6K9b/AFqxP/PuP4/5nzX/ABC7D/8AQVL/AMBX +Zzv/CXaQel4p/4A3+FOi8VaTNIsaXqb2OBkEc/UiugrI8WWk19oFzFbx+bOdhRPXDg/yBq4cU13 JKVONvmcmL8MqdHD1KtLEylKKbS5d2lot+pcorH/AOEhmRSZdH1FNvXEakD8d1aNhex6jZw3MQYR yLuAYYP4197QxmGxTaoVFJrsz8UxWX4zApPFUZQvtzRav95PRRRXYcAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVV1b/AJBV7/1xf/0E 1aqDUP8Ajxuf+ubfyNTL4WI+3fg7/wAki8D/APYDsf8A0nSuwrj/AIO/8ki8D/8AYDsf/SdK7CuX D/wYei/I/cKP8KPogooorc2CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAr58/a68JNNouieLbZGMukzm3u9qE/6LL1YkdAjhTz/ePPY/QdZXirw7beLvDOqaLeKrW2oW 0ls+5d2NykbsZHIzkcjkdRWFeDnTajutV6rVHFjMOsXh50X1X49D4NVgyhlIIIyCO9VdU09dSs2i 3bJAQ8cn9xxyG/Os6Pwvreh3E+nm7MOoadNLYXlvcsZI1ZGwDHgDjHIPcEdqW4utR8Pyh75/t+ns PmuIYsPEeOWA/h614VPPsBiv3NW8ebRprT0Z8fW4RznB0fr1OHNCKUlKLu+90vi066aFzTNYuVvE sNSiSO5dS0UsRyk2OuB2I64rarn9YW21LR5biOVSYkMsNxG4+RgMgg1q6TdNfaXZ3DkF5YUdsDHJ Az+tfEZ3lsMvrRdJ+5Lbyt/Wh+38D8S1s9w86OL1q07Xf8yd7fNW1+Rbooor50/TgooooAKKKKAC iiigAooooAKKKKACiiigBGXepU9CMVy+ii+0e7g0i6+zyRCFnikh3ZwCB82e/PauprA8UWMqRtqt tdNbz2sD/LsDBxwcc9OlezlOOeBxMZt2i9/T/hz4HjTI1nOWydON6tPWOtuq5vLZdTUoqO2kM1vF I2AWQMce4qSv2la6n8jhRRRQMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAqDUP+PG5/wCubfyNT1BqH/Hjc/8AXNv5GlLZiPt34O/8ki8D/wDY Dsf/AEnSuwrj/g7/AMki8D/9gOx/9J0rsK5MP/Bh6L8j9wo/wo+iCiiitzYKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD5L/aU8Ip4V+JlprdugisfEUJSZVACi 7i78d3Qj6lTya84IyMEZFfXHx68Dv4++GOq2Vrb/AGnVbUC/09Rw32iL5lC+7Dcn/A+o6j4/0++T UrGC6jBCSoHAPUZ7V+S59hPquNcor3Z6r16/jr8z9J4XxftKEsLJ6wd16P8Ayd/k0Za+DdOE0rkT NDJJ5ptjIRDu9do/zwK21UKoVQAAMADtS0V89KUpW5ne2h9Zh8Jh8LzfV6ajzO7skrvu7bsKKKKk 6wooooAKKKKACiiigAooooAKKKKACiiigAqK6t47y3lglXdFIpRl9QRg1LRQJpSVnscpremwaClj cQTzxD7XEjtJcOVCE85ycYxWvb6pZXcnlwXkE0mM7Y5VY/kDWjNDHcRlJY1lQ9VdQR+VZGpeGkuJ rWexeLTp4CxDpArZyMEEcV9ZlWeywS9lWTkm976pf15n43xRwH/aNR4vLeWDUUlBRSTab1vdJb9u hforDXUrrR76a31FpLqEIrR3ENqwBJzkHGR6Vp6fqEGpwGW3YsgYodylSCOoINfo2Ex+HxsVKjK/ l1+4/BMwyvGZXVlSxdNxadr9L76PZ/Is0UUV6B5QUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFQah/x43P8A1zb+RqeoNQ/48bn/AK5t/I0pbMR9ufBp 1k+EPggqwYf2HZDIOeRAgI/OuxrjPgvCkPwg8EKg2g6JZt+JgQn9Sa7OuPD/AMGF+y/I/cKH8KPo goooroNgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvh34i eFV8A/E/xBoSM32OVxqdirg5EMxJZQT1Cyb1zz065zj7irwP9rXwnJceHdJ8W2sKyS6HMY7vC/Ob WXCsffa4Q47AscgZz8xxDhPrGDdSK96Gvy6/hr8j1crxf1HGU6zfu7P0f+Ts/keAUUA5GRyKK/KT 9rCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuXtY9V0u4vkj0v7VHLdSTJItw i5DHI4NdRRXbg8ZWwNT2tB2drHzudZFhM/oxoYy9ou6s7a2t59zJ0nUF1XT4bpUMYkGdpOcc4/pV uuZmstX8L6IzR3NtLb2wzt8o7yu7nknHc10wORkciv1/LsxpZhTvTd2rX0tqfyTnGS4zJaypYyHL zXa1T0v5NhRRRXrHhBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABUGof8AHjc/9c2/kanqDUP+PG5/65t/I0pbMR9u/B3/AJJF4H/7Adj/AOk6V2Fcf8Hf+SRe B/8AsB2P/pOldhXJh/4MPRfkfuFH+FH0QUUUVubBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFUNe0W18SaJf6TfJ5lnfQPbzLxkqylTjPfmr9FKUVJOL2Ymrqz Pz+i0278P3l/oeoMHv8ASbh7KVgR8+0/K/4rg1NXqX7UXhP+wfH2leJoLbbaa3F9hu5k6faYwTEW Hq0YKj2j7Y58tr8QxuFeDxM6D+y9PTp+B+x5JjPrmChKTvKPuv1XX5qz+YUUUVxHvBRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFUtckMOi37g4K28hH12mgiclCLk+hV8XEDw1qGeP3R /nVmD/Ux/wC6P5Vi6f4Z06bT7Vpbbe7RIzbnbk4B5Ga3QMDAGBX67kuV1MtjP2kk+a2x/I3FnElP iSvSrU6bhyJrV33dwooor6U+GCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACoNQ/48bn/rm38jU9JJGssbIwyrDBHtSeqsI+1/g7/ySLwP/wBgOx/9J0rsK+d/ 2OZJLfRvFmmrLI1lZ30P2eGRywi3QqWC5PAyBxX0RXFhm/ZRT3Wn3afofs+BrLEYanUStdf8AKKK K6TvCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOE+N 3gc/EH4aaxpkJdNQjT7XZNGCSLiL50GB13Ebeh4Y4GcV8a6XfpqmnW91GQVlQNx2Pcfgciv0Fr4l +KnhR/AfxV13TfJWLT9Rc6tYNGuF2SH94mOxWTdx6EHgECvgOKMJ8GLiv7r/ADX6r7j63hrF+wxb oSelRf8Aky1/FX+5HPUUUV8CfqYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVrrUrOxcJcX UFuxGQssgUkevJpuparbaTCktyzKrNsXahYk9ccD2NYFt5GueILm7Noz2wt0jV7iHALbiTjcPQiv Ty/Azx9ZUldJ9bXSPjuJOI6OQ4V1Y8s6it7jkk2m7Xtq/wABljY2+u6hqd1LLJPGtxsjaKdgm0Kv TafercnhPTJPvwyPxj5riQ/+zVqQ28VumyKNIkznaigD9KfX6zhcsw9CjClKEZNLey1P5Wx2cYvG 4mriPaSjzybtzOyu72+QiKI1VVGFUYApaKK9Y8QKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigD3f9j243TeO4dv3Lq0fdnruhIx/47+tfR9fNf7H f/IS+IH/AF3sv/RT19KVwYbWD/xS/wDSmfreTf7hS+f5sKKKK6j2gooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArw79q/wedS8F2nii22re+HpvNkB/wCW lrIQkq/UfK3/AAE8ZIr3Gq2pabbaxp11YXsK3FndRPBPC/3ZI2BVlPsQSK4sbho4zDzoS+0vx6P5 MuFSdKaqU/ii016o+DFYMoZSCCMgjvS0x9FufCerap4bvUZLrR7lrUlznfH1icHHRkKkdOvQU+vx CUZRbjJWaP3TC4iGKoQrw2krhRRRSOkKKKKACiiigAooooAKKKKACiiigAooooA5e4uZtd1i2EVs 62tjcyLJI7rtZlBH3c5yD0PvW7WOuj6vZ3F2LSezW3uJ2nDSqxdScEjHQ0v9q6jbAfatGnx03Wrr Lk/QHIH1r9LyXMMuwuGjR9paTs3fu99beR/LvFWS8QY3MKuMrYdyjdqLir+6n7uibez6+Zr0Vzms Lq40ifUZLn7B5ab47WMAnr/Gx6npwOK6NWDKCOQeRX0eCzKhmDmqGqjbXvfsfEZnkuNydUvrseV1 FdK+tvPt6BRRRXqHhhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAe4/sd/8AIS+IA/6b2P8A6KevpWvmr9jv/kKfEH/rtY/+inr6Vrgw/wAD/wAU v/SmfrWS/wDIvpfP82FFFFdR7YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAfLf7VHhVdD8Z6J4qiZlt9WT+zLtSCU85AWhbPYsu9cf7I46mvKK+y PjF4Hb4ifDjWtEhWM30sXm2bSDhbhCHj57ZZQM+hPUZB+LdLvDqFjFM8bQykbZImGCjg4ZSO2CDX 5TxDhPq+MdSK92evz6/5/M/ReFsZzU54ST1jqvR7/c9f+3kWqKKK+YPuwooooAKKKKACiiigAooo oAKKKKACiiigAopGdY1LMQqjqScCoLPULbUFZraeOdVO1jGwODSJ5knZvUoeLGh/4R+8WZtu5MRg dS/VQPfIFWLUyG3iMwxLsG8cfexz096z/FkyBtKi3r5pvomEe75tuSCQK1K/SeFKdqNWpfdpfcv+ CfzZ4m4jnzOjQsvdhe/XVvR+ltPVhRRRX3R+PhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRVe+1 G202NZLqZYUY7QW7mk2krsCxRWV/wlWk/wDP9F+tX7O9g1CES28qzR5xuU9/SkpxlsynGS1aJqKK KokKKKKACiiigAooooAKKKKACiiigD3P9j5Quo+PSO8tkT/37kr6Tr5k/Y/uNviTx7bl/vJYSquP aZWOf++a+m64cP8AC/8AFL/0pn6zkjvl9P5/mwooorpPcCiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr4t+MnhUeB/i3q9rGNlhrC/2targAKzHE yD/gYLY9GH1r7Srxf9qrwg2tfD6LX7W1+0ah4dn+2gocP9mI23Cj224c/wDXP8D85n2E+tYKUo/F D3l+v4HpZbi/qOLp129E7P0e/wB2/wAj5sopsciyxq6nKsMg+1Or8lP24KKKKACiiigAooooAKKK KACiiigArm/FF5qMN5ZwREwWE7rFJcRMPMDMcADPT6+9dJWJ4qUtFpoH/P8Awn8iTXZg4qWJpxkr pyX5nznEcqkMoxVSlNxlGEmmnZ6Jvf8AyIP+EXtHkU3EtxeRpysNzKXRT64/xpZPD4jneWwupdOZ 8B0hxsIC44U8A9Ofataiv2d5fhHTdL2S5d7WP4/jmWOjXWJVeXtFpzczvbte9ylY6PbaexdFMk7c vPKd0jHnkn8au0UV2QpxpxUIKyRwTqTqSc5u7e7e4UUUVZAUUUUAFFFFABRRRQAUUUUAFFRw3EVw CYpUlCnB2MDg+nFSUAFFFFABWFrkbx6zo1yFilTzvs5jlUn7/Vh2zgGt2sjxUjDSTcxsFms5FuYy emVP+BNJy5bS7NP7mdWEqexxFOo+jX/BOh+zxf8APNP++RWJN4YmSa6ks9SmtBM5l8pUUruIA7jO OK3Y38yNWAI3DODTq+yq0KddJVFc/Xq2HpYiPLVimvM5u1uNcS3RZ9KWSVRhnW4QBj647Uw61ffb PsY0iQ3e0yFPNULt4wQ3Q88V09FeY8rp6Wm/w/yPBlw/g3tdfM5z+1dQgkC3Gi3IDD5Tbusv4HkY o/t6X/oD6n/35X/4qujoo/suHSb/AA/yIfDuEb0lL71/kc5/b0v/AEB9T/78r/8AFU86xMBn+yNQ /wC/af8AxVdBRS/suP8AO/w/yF/q5hf5pfh/kc5/b0v/AEB9T/78r/8AFUn9r6hM2LfRLphjkzsk X8zXSUUf2XH+d/h/kC4dwnWUvvX+Rzn27WP+gE3/AIFR0fbtY/6ATf8AgVHXR0VX9l0/55fh/kX/ AKu4PvL71/kc59u1j/oBN/4FR0tvq10NQgtb3T2s2nVjG3mq+SuCRx04NdFXM+KbyPT9a0S5mbZb r56vJgkDKjHT3rkxWBjh6Lqxm3a29u6XY4MdkeHw+GnVpXcl/XY9v/ZQuPJ+KfiO2y37/R4piB0+ WYrz7/N/Ovq+vjb9lLXLS++NlyLadplk0KaMhQQAwnhYE59g3519k185Qtepb+b9Ez2shv8AUYp9 G/zCiiiuo+hCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAqC9s4dRs57S4TzLeeNopEyRuVhgjj2NT0UnrowPgS70GTwb4g1rwvPM00uj3TW6PIu1 3hPzQuR7oV9vT1or2D9qzwnJpviXQfF1vChtrtf7JvmUYYPkvA59c/Ouf90c5AHj9fieYYV4LFTo dE9PR7f5H69kGM+t4GKk/eh7r+Wz+as/UKKKK88+iCiiigAooooAKKgvryPT7Oa5lOI4lLH/AArJ huPEPlrK9nZurAP5KyMrgf3eeM+/SvSweW4zMOZ4Wm58u9jy8ZmeFwEoxxErOXk3+Ru0ViLpOqXz efd6i1nJj5IbP7i/7277xp50jVu2ut/wK1jNfRx4PzeUFP2a16cyuvXp+J4j4owKk1aTXey1/G5s VjeJj8mm/wDX7F/WlbSdSvm23uohLcDGyzQxs/uWJJH0FZOqaKmkahpF1Nc3N1CsvlSNO5YKSD5b Y7YP866sLwnmVCUMVXSiotNq93ZNdrr8T53iLiXDVctxNCjCUuaDV9t1b10OjooqO6uorOB5p5Fi iX7zMeB2r9D2P5bJKybjxLaxXCQQJLqErKW22YEm0A45545qGGzufFFxvuEmtdHUYEDEo9wfVsch fbNdDaabaWH/AB7W0UBwFLRoASB0ye9d1DBVcQuZvlj+LPq8DkNTERVSu+Vduv8AwDCjOtawzmFF 0m2BwHuI90x4/u5wO/6U248O6zdeWkmsAwiQb1ji8tmTPPzLzn2HFdRRXqxyzDpWldv1f5LQ+op5 LgqaS5LtdW/6RzEEU2h61FYec09lco7xeactGV6qD3GD3rZrF13SdYutdtry2aGW3g/1UZfYVJA3 bjjkHFO/sjXpI/O/tKGK4kyGh8vMca9tp6lh7/0rx6mGqqrONKm+VPTb8Ne58xjsnr1MVN4anaPy S+RsUVkrpviGMBBfWcqqMCSSJgxz3IBxx/8Arps/hnUIYZLmHVribUR8yqxCwtznbs7enWpWFxLv +7enmv8AM4o5HjpXvG1vNamxRWFGuv6vdFdi6TaBgGLANL07dQRmpl0jW7Vmt4b6Ka3c5FzOCZo+ meOh74+tRGhXkuZU3b+ujMoZNjZw51D/AD9TQvr6HTbWS4nfZEgyT/Qe9Z9roba9m71eMiNv9RaB yAi+rY6sanj8H23mRSz3N1czI4kZnlOHI6ZXpgcdPSt6vUwuXvm5sQl5Lf7z6nLckWHk6mJtJ9F0 OQ1q3sfD+uaTPHEtnC++OSSPIUgLhVYDjqevXit2O4im+5Kj/wC6wNWb7TrbU40juoVnjVt4V+Rn BGf1NZ8ng/R5E2/YY0/2oyVb8waVfL6kqsp0rJPpt+SFmGRyxdZ1qckr9LFuisPUrO/8OwS3VtdN cWMTCRraYbnCfxYcnPqavWWuWOo3DwW04llRdxUKRxnGQSOefSvIqRlRn7OorP8AP0PjMXga2Cny VV/kXqxteVr66sdMLCO3umbzpDwcLghR7n+lTSeJdNiuPJa7QHON/wDAD6bumfxqDT45PEmoJe71 TTrWbMG1fmkYDBbP93k8d8UUo+2qRpx11V/Tqb5bhp18VBct0tX6HUUUUV9sfrQUUUUAFFFFABRR RQAUUUUAFFFFABRRRQB03wJjisf2gvD9wM+ZfWl1bnJwBtiLjHvgH8q+0q+JfhbN9k+NXgWf5R/p U8OWPHz20i4+vPHvX21XxGKgoYusl1af/kq/yMqKUZTS7/ogooorE6gooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOS+KvgWD4keAdX0GX5Z biEtbS94p1+aJwfZgM+oJHeviXSbp7yxjeVdlwuY5oz1SRThgfxBr9B6+Nvjp4TPgr4t3zRwNHpv iBDqUEg+754OLhenByVc/wC/15wPhOKMJeMMXFbaP0e34/mfU8OYv6vjPZSfu1Fb5rVfqvuONooo r89P1cKKKKACiiigDF8RZefSo3/49nu1EnTkgEqD7ZArdrD8SeYqWMohkmt4blZphFywCgkHHcZw T9K1LPULbUIRJbTpMh7qc/8A6q/bOA6lP6nVp3XNzXt1tZb+W9j8n4njJY5Sd7OK9OuxYooor9OP kgqG6tYb63eGeNZYnGGVhxU1FDSasxb6M5m18GywRiN9ZvTGmfLWNgm3+ee/51PZ+FQ0iTarcNqU 6H5FbiJcdCE6Z9Sa36K4I4DDQaahsefDLsJTkpxpq68gooorvPRCiiigAooooAKKKKACiiigAooo oAKKKKAGuiyIyOoZWGCrDII9Kzr7w3puoRQxzWq7IRtQISmF7jgjitOionThUVppNeZEoRmrTV0V 4bC2trX7NFbxpBjHlqo2n6ip1UKoVQAAMADtS0VSSWyKslsFFFFMYUUUUAFFFFABRRRQAUUUUAFF FFABRRRQBd8K3Qs/iN4Gm+X/AJDttH8wJ++Sn/swr7rr4CW6On634dvRwbXWLKfIAJG2dTxmvv2v jswVsbL/AAx/OX+RnT/iS+X6hRRRXGdIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXjv7UnhA698NZNZty4v8Aw9L/AGjHsBO+IDbMhA7b CWz/ALA5AzXsVMmhjuIXilRZYpFKujgFWBGCCD1FcmKw8cXQnQltJW/4PyHGUoNTg7Nar1Wx8CQz JcRJLGweN1DKw6EHkGn1Lq3hm48C+KNb8MXCBf7MuStu46SWz/PC3X+6cHrggjJINRV+HzhKnJwm rNaP1R+54PExxmHhiIbSV/Tuvk9AoooqTsCiiigArNuPDel3UzSy2MLSN1bbjNaVFNNxd0ZzpwqK 04prz1MY+DtGJJ+wR/m3+NJ/whujf8+Kf99N/jW1RVqpNaqTOf6nhnvSj9yOc1DwPZyRqbD/AIl9 wrZEqgtkYIxgn3qrZxnwbqkVssT3FveIiL5X3vMU4Zip9dw59q62ubnvoLfxZI+oytBHBButWbiP kYfnuen+cV9Rw7icT/aVCEavKrvd6Wtrv1aWnmfLZ/gsHRwc60adpaK606/cdPRWbD4k0uaBpkv4 PLXltzgEfgeaNJ1+11ppVt/MDR4OJE2llOcMPUcV/QixVCUowVRXltqtfTufmFnq7bGlRRRXUIKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAzPEly1lpElypIa3kimBUZPyyK3Q/Sv0Lr88vFMZk8O6io/54sfyGa+/PDt42oeH9MumzuntYpT uOTlkB69+tfJ5mrYtPvFfg3/AJmcP4r9F+v+Zo0UUV5x0hRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHyz+1Xoken/ABG8MavEio2p 2NxaTsoPzmFkZS3bOJCAeuBjsK8qr3n9sCz26P4N1MMoMOrG1wVyf3sLng+n7v8Al6V4NX4/ntNU 8xq2W9n96X6n6fwtU5sFKH8sn+KT/NsKKKK8I+xCiiigAooooAKKKKACuUtvBsra013eTpPCspkU ZYs/OVDZOAAfSurorSFSVO/K91b5Pf0+XTQ5a+FpYnl9qr8ruvX9fmUbjR7CS4+1yWcUkyAndsBJ /Dua5zR/EEDX93ql5dW1svk+ULQEiVdrEgEHqfp6+1djUE1jb3DAy28UhU5BdAcH1r1MpzH+ysSs UqanJLS7at0vpvp0Z5eaZZLMKSpQnyK93pe/5Gd/wllsVyttenjj/Rn/AMKjg1rWLiFJV0MKrDID 3YB/EbeK3KK+kr8aZrVtyOMPRb/+BXPIpcK4WLftJyl9yOTvrC/urfVdRvGnsZI4t9vFBdEhdqZ7 cckZ/E1rDxHY2NjZm7u182SMfcDOSQBnoD+tarosisrKGVhgqwyCPSqlpo9jYymS3tIYZMY3IgBx 6Vhl3FWMwMq1Sa9pKpZ6t2T1vou9+lgxfDVKt7ONCXIo3vpdv56FP/hMtI/5+X/8B5P/AImtKw1C 31O3E9tJ5kRJGdpHI6jB5qasfwr/AMed4CCCLyYHI/2q+94c4mxWcYyWHrQikot6X6NLq33PmM4y aOV04TjPmu7bW6G3RRRX6QfLBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFAGZ4mmWDw/qLN08h1/MYH86+8/Bun3Gk+ENDsbtt11bWMEMrZJy6xqGPPPUHrXxDp +jnxN4p8M6Js8xNQ1W3jlXn/AFSvvkPHoqGvvavkcylzYu38sV+Ld/yRnDWq32S/r8gooorgOkKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AoqG8uPslnPPt3+UjPtzjOBnFfn1our65rGl297c+J9fe4uF8yRhqkwyxPJxurwM0zaGWOClBy5r /hb/ADPRwOArZjUdKg1dK+ra/JM+kv2xP+RF8L/9jHb/APoi4r59qtcW1xfNAb7VdU1JIZBLHFe3 0kyK4BAbaxIyATz71Zr80zLGLH4l11Hlulp6H6VkWW1sto1IV2m5Svpfsl1S7BRRRXmH0oUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc7s1bQUv5Io7W5tWmkuRudlcKeSvTHrXRVDfQG6s54VI BkjZAT2yMV34LMMTltR1sLPlla2yenzv2PMx+Ao5hTUKyvbVa21F0+6N9p9tcldhmiWTbnOMgHH6 1Yrm9M0fWrexijk1ZIDGgjWKOBXVQBgcnBPSrmj6ldNdS6dfqpu4k8wSx/dkTJAOOx9q/fst4mwG ZVlhacnz+ate29vz6H5DicrxmDpKtXhZP009bGxRRRX1p5YUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFAHa/AHRV1343aZK4BXR9PuL/AJ7s+2FR/wCPsfwr7Dr5z/ZF 0sy3XjXWj80b3Fvp0ZyeDEhdx0x1lXuenbv9GV8LVl7SvVqd5P8AD3f0Io7Sl3f5afoFFFFQdAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA FTVVMml3ijALQuBuIA+6e56V+fHhL/kW9P8A+uQr9BtY/wCQRff9cH/9BNfnz4T/AORb0/8A65Cv zzir46PpL/20+x4W/wB7qP8Au/qjXooor4U/TwooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigArG8QaXPceXe6eWTUYcBSrhd6ZyVOeD361s0jMI1ZmOFUZJrWjWnh6katN2lHVM5sRh 6eKpSo1VdMr6TqcesWEV1EGVX4KsOVIOCPzq5XL+F7WabUJ9Sjiay06dD5dv5hIkYtnzNvReB+td RX9QZXiquMwdOvXg4Sa1T/P0e68j8JrU40qsoQlzJPfuFFFFeqYhRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABSMwVSx4AGTS1m+Ipmh0O8KDMjxmNBx95vlHX3IrOrUVGnKpLZJv7 iZSUYuT6H1f+y1oraT8G9KuZU8u41SafUZBzz5kh2Hk90VP88n1usjwj4fj8KeFdH0WHBj0+zitQ w77EC5/HGfxrXr4CinGnFS36+vX8SqUXCnGL3CiiitjUKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAorzv4qfG7Q/hhatCxGr6+4/caLayr5zZGQ0nXy0/2iPoD XzRrHxW+IHiLUJr6bxVd6SJDmOx0wIkUC5yFzjLkZ+8eT9MV89j88wuAl7N3lLsunr/luejg8vxW YN/V43S6vRel+/p8z7bor4Y/4Trxz/0PWt/9/E/+Jpf+E88df9D3rX/fcf8A8TXlf604f/n1L8P8 z03w7mS+zH/wL/gH3NRXww3jnxxIpV/HWuFSMHbKin8CF4qv/wAJR4u/6HrxN/4MD/hSfFNDpSl+ A/8AVzMmvhj/AOBf8A+49Y/5BF9/1wf/ANBNfn14T/5FvT/+uQrp08Y+MY4XiHjfX3Rs5E1ysmcj GPmU8e1Y2n2Mem2UNrEWMcS7VLHJ/Gvms4zOGZSpuEWuW+/nb/I+myHKcVl9adTEJWato79fRFii iivnj7UKKKKACiiigAooooAKKKKACiiigAooooAKKKzNT8RWWlwys0qzTRkD7PCwaQkkADbn3oSb aS3ZMpKKuzTorGtfF+l3TKpuPs7kHK3CmPaR1BJ4z+NadreQX0Pm28yTx5xujYEZ9KqUZQfLJWfm KNSMtIsmoooqSwrH1u/dmfTLe1ku554GLCOQR7EPy53H8fyrYrF1RTputWWoqwWKQi0nBOOCcq34 N/OvTyujh8RjaVHFNqEnZ2312/Gx5GbVa9DBVKmH+Jfl1/Au6BZz6fo9tbXDK8sa4+XsOw98DjPt WhRRX9R06apQjTjslb7j8RCiiitACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA Cr3hLS28QfEjwXpS/wDLbVYrh1yRmOHMzjgeif8A6uoo16D+zXocmufGGfUvKLWmhac4MvIC3ExA VevOYw5/yMeRm1Tkwko9ZWj971/C7MauseXu0v8AP8D63ooor5k6wooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKxvF3jDSPAug3Os65epY6fAPmkfJJJ6KoHLMewHN ROcacXObskJu2rNd3WNGd2CqoyWY4AHrXzz8WP2l28640HwG6zXiNsn8QMiyWsGMZEIORK/Uc/KP ft538TfjNrfxa86xiSXRPCEgA+wN8t1dj/pswJ2rn+BT9Sa4yCCO1hSKJBHGgwqqOAK/PM04hlUv RwTsv5ur9O3rv27n2WV8PVMTatjLxh22b9ey/H0Gx27fari8uJpLzUbljJcXlwd0szHqWP8AToKm oor4jzP0unThRgqdNWS2SCiiig0CiiigAooooAKKKKACiiqGrX0lqkMFuA15cuIoQRkA92PsBz+V I58RXp4WlKtVdoxV2X6KyWm162LwvpSXTjOyeGUKjc8ZUnI/Onwab4jhVWa4sbksAWSRWTYfQEZy Krlk+h81LirKoqL9re/k9PXQ06KzW07xGWVhPp687TGquVA/vZPJPtTbyx16xtXnS5t7towXMCW5 Bb/ZU5p8suxl/rdlV7Kb/wDAWalFZkFlr2pJ5hlg0uJ/uxmPzJVXsTzjPtUo8O6rH8ketkx/3pLZ Wcfj3/GhQk9bGdTi/LITcE5PzS0/FovUVmzaXrunqHgu4dV7NHNGIj9QRx6cGof7Uu9JuUh1lIYk kXcl1Du8rOMlTnoevfmk4uO6O7CcS5bjJxpwnaUtk1b8dtempsUVzuq+NLC206aW1nEtxjEaFGGT 6nIHHem2viK7trmO01Zbe1eZCYrmNzs3DHBBxzzXRDDVqlKdeEW4Qtd9rnvQxVGrd05KSVrtapX2 u0JdaxqGqXF3a6csdrFDIYZLqUkuCAM7VH14JNOtdBsbUQkW8bSxncJmXLlu7E9zVXw1Iii8tSQ9 1DJummDbhNu+6+fcDp2xW1X7Rw/luEw+EhXppSlNJt7/AHX21PZwdGnKmqstW/w8vl+ZHNbxXShZ oklUHIV1DDPrzWa8aaFq1tdwbYba5cQ3EYOFJP3Xx0BB4/H61rVX1GxTUrGa2k+7IuM+h7H8Dg/h XsZlgYZhhZ0JLVrR9n0Z04iiq1NpL3unqbdYviW+ubYWMFpMLaW5m2eaVDbVAJPB7niqNl4yihto ba4jmn1NS0UkMKZJZep5PQ9c1FZ2L6nq0+pXtvLGVZfssc0nMY24Pyg4HNfjOU5RXxmLjCcHyRfv XTto9Vfv0PChfENQp99d9Fu1fo+hNI3iGaMQNdWcaEgNcRKwk2+oB4yazNejv7HS4Yp9Te5gM0aF TEvmn5s5BzksMfpXT1na3Zz3EME9qFa6tZVmjRujkcFT9Qa/U1w9ltFXhS133bfy1/A6Mwy+MsHW jSTcnF21fbY6eisDR/Fg1bUFtTYz2zNEZMy4HIwGGOvB4z7Vv19/TqwrR5oO6P57qU50ZOFRWa6M KKKK1MwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr6L/ZL0T7H8N7vWWGZNb1 Ge5R+/lIfKQfT92xH+9XzPq3nyWgtrQBr28kS0t1Lbd0kjBF57cnP4V90+B/C8Hgnwfo+hWwQR2F qkBMa4DsB8z4/wBpst+NfL5tU5q1Okvspt+r0X/txl8VVLsvz2/U3KKKK8o6gooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAopk00dvC8srrFFGpZ3cgKoAySSegr52+J37R02r efovgN0eFgY5/EZOUj65WBSPnbp+8ztHbPUcGMx1HAw56r9F1fp/VjCtXhRV5b9j0D4ufHTRfhja yWcbx6l4nkVRa6Sj4JLZ2tIf4U4JPfpjqK+VfE3iDVvHGtf8JB4pvEuL2JT5UMZK2tmuOREpJx05 Ykk45NQal4fS+sZw09xPfyP55vriQyTyTDOHdzyx+tc9Pcajrmmtp8WnzJdSR7J5Jl8uNOgJBPXP PSvy7NMyxGPlaWkOkV+vd/gfQcP47L6cauIxtlUhrG+3yXWV+v3W1NGHxHplxMkUd5G0jnaq56k9 q0qnm0OyurFbSa3WSEBRjkHjocjntWN/wj2qWMkkWnXkK2XHlrdBpHTjkA+g7V4zpTj5nt4HjSlU bWNhy+a1/wCCaVFYljrE9jIbTWtlrc/MyTOyqkq7scc9enFak1/bW9uJ5LiJISMiRnAU/jWZ99hc dh8bRVejK8X+HqT0VBbX1teZ+z3EU+OvluGx+VT0HapKSumFFFFAwooooAKKM8470UAFZ/h6P+1t WudVbmCHNta+hx99x9Tx9BTNeuZVto7S2OLu8fyYv9nP3m/AZ/Suh0+xi02ygtYRiOJQo/xrWlHm lfsfl/GeZcsY5fTe+svTovv1+SJ6KKK7T8nCiiigAooooAKralDby2Upuoo5oUHmFZF3DjnOKs1l +KFu20G7WxUvcMu0KqgkgkBsA98ZotfQaXM7HIQx6l4g0+3a9vk+ySFJxbx24XgYIGevYVr3FtDd R+XPEk0ec7ZFDD8jUGkywzabbm33CFU2KH+8Nvy4PvxVuv3fAYHDYSio0Iq0rX6303P6vyrLcHl2 HUMJFJSSbs7303Kmn6TaaUsgtYREJG3Ngk/z7Vboor0oxjTXLBWR7EYxguWKsgoooqiyL7HB9qNz 5SeeV2+Zj5semaloopJJbCSS2Ckkby42bGdozS0jKGUqeQRg0xlbwrZvLD/a1zIJLq8jXAUYWKPq EH55roK4PWNLbRtFmltdR1CPyVAjjFyQq8gDj0Ga7TT7V7Oxhgkna5kjXDTSdXPqa68HU09ly2sv z/pn8751gMVgcRfGTUpz10bfl1S/pFiiiivSPnwooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiikJCgk8CgDsfgb4bbxZ8YtKLo7WWhwtqczbAU80/JCpJ6HJdh3+T8R9kV4T+yX4ZFt4P1 PxRKkZm127YwuAd32aEmNAc+rB24/vCvdq+EnU9vVnW6SenotF9+/wAyKOqc+/5dP8woooqToCii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPkj4xfETV/iB4q1jREvZLHwxpd3 JYSWMBwb2SMgO0rA8ruyAnTA55rjoYY7eNY4kWONRhVQYA+gqtYXQ1K41XUVJIvtSu7rJJJO6Zzy T1q3X43XrSxFWVWbu3+XT5Hy3M6j53uwooorAYUUUUAV76wg1K3eGeNXRgRyoJGRjIz3rm9A8GyW s8L6kYbiO0DR20arkYJzvbPf+VdZRUOEZNNm0K1SnGcIOylo/NXv+Zk6h4V03UISptkt5R9ye3UI 6H1BFVl8KypgprN8GA/iKMM/Qr09q36KHTi3do1oYzE4VWoVJRXk2vyOLvr7UdFkeyuEbUJ5v+PS SJdhl/vA4BAK5B+lQzaPqXh3Q4bz7Xcy3a8XEafv025ODhsEY74Pc9q7qisvYR1PVrZ9mNaNNOq0 4bNaN+vfscb4d8TJqmky3V1sgMDbZGzhTwOcds56Us3idLhXTT7O6vpMhAyxMiBj0BYjjjnpXQXX h3TLy4SeayheVejbcfnjr+NaNR7B9WfQT4yxnsI06cUpJWcnq2++ll+DOMsfBd0tjHdSzEa0snmC SaVnXaCfkJHYjrj0qWTxA2m3Rt9WgWxbyzIkiyb0cA4wMDOfbrXXU140kKlkVipyNwzg+tXKire6 eHl/EGOy+blGXMm7tPq/XdfI5zw3by6pqEmsXEbRxgGK0jdcEJ3cj1P8hXS0UVrCKgrI8bF4qrja 88RWd5Sd/wCvJBRRRVnIFFFFABRRRQAUjEhSQMnHApaKAPN9H1BdIt0sdQims7kOx/eRnY252Iww yAOe+K6CpvHbM2hrbjbtup47dyy5wrN1HvUCLsVVyTgYyxya/X+HcfVxuHcakUlC0U110/4Y/ozg 7NsRmmDlGtFJU7RTXXTqtdlb1Fooor6w+/CiiigAooooAKKKzpNSuJrye0srJ7maELudnVUXcMjP OcVzYjE0cLD2laVkc2IxNLCw9pWlZEPioGTR2gUZkuJI4kGepLiutrk7DSbp/E0Y1K5W4eCAXKRR LtjRizLx3OMdTzzXWV15VWhi6TxVP4ZaL5N/qfhfEuZQzLG81JNKKtr6t/qFFFFe2fKBRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVb63udQNrplk22+1K5isbdtpOHkYLnA54BJ/CrVdv +z/4fbxH8ZrKdg32XQrOS9YjdgyyfuowccZwXI57GvNzGs6OGk4uzei9Xp+G/wAjGq3y2W70+8+r vC/h+38KeG9L0W0ybXT7WO1jLdSqKFBPucZPua06KK+SjFRSjHZHUkoqyCiiiqGFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeD2v7IuhW90VPiTXv7MXeY7OOaNGVmJxmQLuY DPQ9xkntWTqf7K+sWt9L/YfiyN9PILRx6vamWZG/ul0Zcr74yPevo6ivElkuAkrezt6N/wCZxfU6 HRW+bPkPUPgn8S9LOxdAsdZwT+90/UUjBGeDtl249etc/rHhvxX4YhafWvCGrWNsu7dcQxrdRoF6 lmiLbR7nj3r7corzanDmHd+SpJP5Nfkn+Jg8BH7M3+H9fifBdnrlneXBt0lMdyM5t5lMcgx1+VgD 2NXq+vfH3w08P/ErTBZ63Z+Y0ZzBdwnZcQN6o45H06HuDXyn448Fa38K9ZFlrKPd6PM+yx1xU/dy 56Ry44ST68Ngkd6+ax+VVsB77fNDuunqunqcNajOhrLVd/8AMzqKKt+GfC/iP4gazcab4ZsbeY2q hrq+vpGjtoSfuoSqkliOcAdK8mMJVJKEFdvojHyRUqnea1YafJsub2CB/wC7JIAfyr2Gy/ZV166X dqPjWC13cNDp+m7sDI6O8nXGf4a9e8J/B3wf4L01bTT9Bs5Gwvm3V1Cs087AY3O7DJPU44AJOAM1 72HyPGVn765F56/gn+djphha0+lvX/gHyDBq1jcgGK8t5M9Nsqn+tS3F9bWcYee4igRujSOFB/Ov r7UPhD4H1Zt934Q0OaQnJkOnxBj16sFz3NZuifAL4eeH7hp7Twnp7St/FdobnbwB8vmltvAHTHf1 NdL4dxN9Jxt8/wCvxNPqdbuvx/yPlWxW917UrbTdAsJNc1K4Vnjt7aRANq43MzsQqjJAyT1NdHP8 KfiTapvk8FSSL3+z6lbOR6cFwT+FfU/h/wCH3hnwnqN1f6NoVhpd5crslmtLdY2Zc7scDgZ5464H oK6Cu6jw5Dk/f1Hzf3bW/FM1jgW178tfL/go+JLrwv4x0+VYbrwN4g85l3AW1sLhMZx99GKg+xOa dceEvGlqY1l8C67vlGU8qFJB7birHb+PSvtmir/1bpf8/X+H+Q/qH99/gfHk3we+JkNqtx/wilu4 2bmt49UiMo4zj+6T24J5/OtDR/gJ8RNbt3nlt9K0DAVo4L+dpnkBzkMY8hCBj16+xr6zorojw7hE 7uUmvVfokWsDC+sn+H+R8cv8JfiVbvcI/hBZxbkhpYNRh2y4GcxhiGOfcCuVh1KKS8mspVks9RgY pNY3S+XPEw6hkPNfeFcn8RPhjoXxN0drLV7b98oP2a+h+W4tm7Mj9Rz26HuDXFiOHUoXw03ftK2v zSVvxMp4FxV6crvz/wCAfItFaPjHwfrHwx1yPSdcYXMFwzfYNWjXbHdKP4WH8EoHVenoTWdXxk4T pTdOas1ujztb2e4UUUVABRRRQBzvjhZW021kjgknSG6jmkEQyQq5JOPyqXQ/Det+KIlubKKKxsiN yz3ytmX/AHUGCB7mp/EE1tG2nC/D/wBmG6U3RVSRsAJwwHYnFeqaXeWd9YxS2E0U9rjajQsCuBxg Y9KzqcRY3KqUsLg7R5nfmtd+ivp07H6dwnja9DDVaNKSScr/AN7Zfh8t76nmX/CvvEy8Y01z/eEz qD+G00w/D/xVk4Glgf8AXaT/AOJr1qiuT/XPO/8An9/5LH/I+6/tDGf8/X90f8jyT/hX3iv/AKhX /f2T/wCJrGmj1DTbyG11OwaymmRnT94rhgpAJ46DmvdK5bxp4H/4SqS2uYb17G9tlZY32B0KtjII P0FerlnG2YU8VD69U5qV/e91Xt5Wt1NqOaYmnUTqTco9VZf5I84orc1j4c6vo8Ym064/teBVG+2l AWYHHJRuhHsefeuTGv2AGJbqO3kDFWimcK6MDggjPHIr9jyviDL83g5Yeeq3T0a/ruro+pw+ZYfE LSXK+z0/4D+RoVU8OsP+Ei1te+ID/wCOmmx63p8pIS+t2I6jzV/xo8NyLJ4g1sqysCICMHOflauL iWUZ4FOLv7y/U8jP5RqYSLg7+8vyZpahof2zUEvIrua0nWLyS0QU5XOccg96xv7ak0PxA1leX5ls /L3mW6QKQ3YKQPm/KuspGjWTG5Q31Ga+DwGbYrL5xdOb5V9m7s/kfmGJwNOum1pJ9TH/AOEs0f8A 5/4fzNZnifUFeSxaVzLo8mGP2Vx5rvztA5BI78eldSIYx0jUf8BFZ9n4b0+xvJLmOAGRm3Lv5EfO TsH8PPpX0eK4rrYzDVKFSny8y0cXb7730/rzPO/sucZRakmut1/VyhJcXXhySBri4a60qQ7WknH7 2Anpkj7wzxk81vghgCORXNeMtQusx6dDazNDcLiSaOPdnJxsXsD7npUzTa1NZi0t9M+xHYEFxLcq 2ztnAyScV6+Q8QqjhprMat7fD1k+60/C/wCRyYrDWrONCLa9Ha5sNqFst4loZ4xcsMiHcNx4z0+l WK5658MfYmsZtMihM9vIXk85iDLlSMlsE55z6c1Zj16S3ljj1Oyk08yMFSTcJIiT0BYdD9RXvZXx Lhcf7tVqnNuyT6rpra1/IwrYWrQfvLTv0NiiiivsDkCiiigAooooAKKKKACiiigAoorQ8H+BvF3x A/tifw/aadeQabMsD281y0MzMUVgQSpXBye46fTPJicVSwkVKq9G7aJvXfpfsZymoWv1M+vf/wBk XRPL8J6/4gdFE2rai0aOO8MA8tO5/iMnYdT14rxbUvh/480WRYrvwNqzyu2xDY+XdITkAEsjHaOR ycd/Q19V/BXwbd/D/wCFvh/Qr/b9utoWe4VDkLJJI0jLnJBwXIyOOOOK+dzDF0sVKnClK6V2/J7K 9/V/cRGSqVFbpd/p+rO3ooorzzsCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACqGu6Fp/ibR7vStVtI77T7pDHNbyjKsv9CDggjkEAjkVfopSipJxkrpia TVmfHmqfBPxrovjZPC2mWb3mm3EzPZ67cqzwQWvJ2zso4kUDbg43EjFfSPwn+HMPwv8ACMekLc/b rqSZ7q7u9mzzpnxlsdgAFUcnhRXZUV42DynD4GpKrTu29r9F2X9XOOjhYUZOS17eQUUUV7R2hRRR QAUUUUAFFFFABRRRQAUUUUAYnjLwfpnjzw7d6Lq8HnWlwuNy8PEw+7Ih/hZTyDXyD4s8M3/w68Xy +GtUk+0kxfaLC/wALuDOMkdnUghh7Z6EV9s1xPxc+GsHxP8ACE+m+YlpqcRE1hflctbzAg59drAb W9ie4FfP5tlqxtP2lNfvI7efl/l2ZwYrD+0XPD4l+PkfJ9FRL9ss9Qu9L1WzbTdasWVLuykZWMbF QwIKkgqQQQQSCDUtfmvkzxU7hRRRSGMmhjuIzHKiyI3VWGQaqeBdRvdP8WQaJFfW7aeBcSvbxINw JO4bj1B+YdOML9auuwjVmY4VRkmsfwX8RPDmk61q73F7HHBceXLFN5D/AHgu1l+7nsD+NebmFGVW l7kOZrsezk8+TGwbnyrr59bfOx7DRXN6R8R/DmvahFY2OppPdS52R+W65wCTyVA6A10lfIVKc6T5 akWn56H63TqQqrmpyTXlqFFFFZmgV4tZ6fbi71MSW0ZlS9nUsyAk/OT/AFr0jx5rl14f8PvdWXli 5aaOJWkXco3OBnFcBZwTRm4luJFluLiZp5GRdq7mPOBngV9Dk9OTnKpbTb56HnYhqVRRtt+v/DEV xoen3QxLZW7855jFPsdKs9MMhtLaO38zG/y1xnHT+dWqK+ssjHlje9gooooKCiiigAooooAKyPFe ny6loc8duC1wpWSMDruUg/41r0VUZOLUlujOpBVIOEtmVbC+i1KziuYG3RSDIP8AMfnViuauoZfC 92lyl4q6bcXf7yBouI9wOTuzwMj0A5ro45FlQOjB0YZDKcg1/QWT5pTzXD+1jpJaSXnb8j4irSlR m6c9x1FFFe4ZBRRRQAUUUUAFFFVtQuntbYmGJri5dlighUZaWRiFRAPUkgVFSpGlB1JuyWrJlJRT bNzwf4F8V/Ee81FPDVpZSWunlI57i+naJTKwJ2LhTkhcE+mRX0R+zx8L9d+G2n+IG19rMXepXaSp HZStIqqsYXJJUck54x2rq/hH4BT4beAtN0YlZL0KZ72Yf8tbh/mkbPcZ4Hsorsq+FnWrYpqpVk7X uo6WW6XS+ieuu5FOm3ac3r27BRRRQdQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA eCftSeB0/s218dWa7LvSgLe+RE5uLV3VQWP/AEzY7h7Fs14mjrIqsrBlYZDKcgj1r7kmhjuYZIZo 1likUo8bgFWUjBBB6givi7x34PPw1+IuqeH0TZpVz/xMdK/uiFyd8Q9PLfIA67dpPWvgM/wPsqix UNpaP17/AD/P1PExlL2c/aLZ/n/wf63M2iiivkziKOuXsen6RdzysAqxNjLAZODgDPeuJ0aMx6Ta K3B8pf5V0XjLQ7jWLe2kgkhX7KzStHOpZH+XHQHtWDp90byxgnZQpkQMQK+z4cUOao7+9pp5dz0c Dbmk+pPFfzaPqmnanBC1xJaTbzEuMspBVup9Ca9B+Hvj7VfE+uXVlqNrb26rbC4Tyd24ZfG1sk9s dK8/rd+Gt9b2fjyZJ5kia4sfLiDnG9g5YgfgDXLxblmHnhKmPavUSil6c3+TZ9Xl9epTrwpqVot6 r5HsdFeFJqi618XYdRgld4DqaW0TiQlWVYmDYGcYJFe61+QYvBzwfs1N/HFS9L30/A+uwuKWK52l ZRbXr5mfr2g2viTTXsrwSeSzK+Y3KMCpyCCK868UeGbfwrqujC0uryQXTSrItzctIDtTIwDXqtcJ 8TbfZdaDeY4W4eBjjP34zj9Vp4GpKNeEVJpNjxNOPLz210/MwqKjjuYpppYkdWkjxvUdRnpUlfe7 nMFFFFAwooooAKKKKACiiigBJI1lQo6h0YYKsMg1it4XS3Z3027m00sclI8NF9dh/pW3VK+1qz06 ZIp5WErqXCJGznAOM4UHitadephpe0pTcX3Tsc1eNGUL17WXf/Mo/wDCP3NzgX2rXNxGDny4lWEH 6lef1qK60+70e3eeLW2SFB93UAJF9vm4P86uf8JNp/8Afm/8Bpf/AImsbxVrEGo6akFqs0khmQkt bSbVAOcnK9PpzXo0c1xsq8WsRLmbS+J/lex5Fb+z4UpNOLaXfX773Nfw7qlxq1i81xCsREhVWjzs kUfxLnnFalZsmvW8AQzw3kCyLvjaWzlAkXJAZfl5HB5po8S2BON83/gNL/8AE1+60cbhYU4xniIy a3d46/cfMe2pfzr7zUorLTxJp8kxijkkklBCmOOCRmBPQYC55qx/aD9tO1Qj1Gnzf/E1q8xwUd60 f/Al/mHt6X8y+8uUunapc+HfFGg65b2MOqf2XdfaTZTyeWJSEYDDbWwQTkHHBAql/aEn/QN1T/wX zf8AxNH9ov8A9A7Ux/24Tf8AxNc9bGYDE05UpV42faSIlVpTXLzr7z7l8A+LofHng3SPEEFu9rHq Fus3kSEEoTwVyOuCDz39B0rfrwf9k/xxe6t4Sbwte6LdWZ0GNUi1B4WjiuI2ZivDAFXHORyDjPHS veK+ToT9pTTbu+vr1/paHRRqe0pqX9X6hRRRW5uFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABXj/AO094QGtfD469bhl1Lw6/wBujZFJLQcCeM/7JQbj7xr0GTXsFMmhjuIXilRZYpFK ujgFWBGCCD1FcuKw8cVQnRl9pf8ADP5Myq01Vg4Pqfntc+PLWO6khgs7q8EYXMkKgryMjGT6UweP o+raTqIX2jUn8s1W8deC5fh/8Wtc0GHclnZkGJpDzLbsN0P+8VDbS3qpqGvkcFkdKvQUqzlGWqe2 6dtNDy6GFVSHNNtP5Fu48f2MkMsUlpf2xkjYK01vhScdOCaxdB3f2PaBlKEJjDDBq/RXvYHK6eAq SnCTd1bU7qOHVGTkncKqahp41BYx5skDISQ8ZAOCpUj8jVuivWqU4VYOnUV090dY/QY47TxN4ZiR dqLfooA/3Hr32vnm6s4r1FWUMQrb1KsVIPqCCCOpr1T4QzST+AdPaWWSZg8y7pHLHAlYAZPtX5Fx tgZQq08bfRpRt6XZ9Jkta0pULb6/kjsqzfEGgWviXTXsrvcE3B0kjba8bjlWU+orSor8xTad0fVS ipLlex51D8IWs3ea1124W6kOZXlhV1kHYEccjnn3NVtT8G+I9LtZriGez1IR/N5KRMkjDPQfNjpX p1MmjMkLoG2llIDYzjjrXbHHYmn8Mzl+q00rRuvmzyOwvU1C0juIwyo+cBxgjBwc/lU9Z95Zaj4P FxZz2U99aWqjZeW8LbWyMhT7+pHHNSWN3PLNcW9zCsVxBs3+W25csucdOCO47V9lQxdKtyqMrt/0 zgjPaMty5RRRXabBRRRQAUUUUAFeg/sz/wDJcrv/ALFyb/0qgrz6vQf2Z/8AkuV3/wBi5N/6VQV3 YD/e6X+JHj5r/uz9Y/8ApSPrWiiiv1U+cCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigD5t/bG8Fq2naJ41t4T5+nyiwvpFBJNtK3yFvZZCMf9 dD14r5zr9CPFnh228X+GdV0S8VWttQtpLZ9y7gNykbsZHIJyORyByK/PRNPvdFuLvSdTjEWo6bO9 lcKpyN6HGR6gjBB759K5I/u6zh0lr89n+j+8wj7lRx76/wCf6fiPooorrNwooooAKm0PxRrPgy3t 4YL5JdKinBa2eBc7Hf5vmznjcTUNUtcx/Y97u5/dMRxnnHH64rysywFDMMPKnXjeydvJ23LhUnRf PB2aPo2isPQfFGmXtrYwDVLOa9eFMxJOpYttGRjPXrxVnUPFGj6TcGC91S0tJgATHNMqsM9OCa/m blle1tT9IVWHLzXVjTorhPGfxRtdDisV0mWx1O4upfL/AOPkbY+MjO3J5PA965LVviB4m1gQRxyW +jxoxZ5LNy7vxwPmXgV7mByPH5ilOhT929rtpJfr+B59fM8PQbi3drt/nse0V538QtBtdLurLVLM G2uLq6WK4VGIWXIJ3FemeOvWsG1+J3im3toopINMuXRQrTOZAzn1IHH5VTj8RXvjTXBd39pDC2no 8GYWJQsdrAgHnOCfzrtjkWY4GrCrXp8sb73X6O+tjnlmFDFJQp/F6GtRRRX0R0BRRRQAUUEhQSeB WRqHiaytrOSS3ura5nGAkSzAliSB0GSevYUnJR1ZlUqQpRcpuyRozTSrPbW9tZ3Wo3l1J5UFrZRG SWRsE8KPQAn6Cvo79nf4Lz+Dbe28V65LfJ4nvbBrWexnaPy7dGlD4AUZyQiHknHI+jvgj+z7F4Jm k17xRa2V74s+0vJbXVtcSyJbQtGihArYXcCH+YLn5uDXtlfbZTlLptYjEL3ui7eb8z5LFYmeKnrp BbLv5v8ARdAooor645gooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAK+MP2oPCi+GfjCmpQReVaeILITvtUhTcxEI/bGShjJwepOeoJ+z68V/a o+G9/wCOvA1vqGkCSXV9Dla7igWVESSMgCXdu7hRxz6jvXHirxiqiWsXf5bP8GznraRU101/z/A+ S6KjtbmO8t454jujkUMp+tSV1ppq6N99UFFFFMYUMoZSrDIPBBoooAqvpsB8sxp9mkjYPHLB8joR 3BHSgWPnXEtzezPqFzKFDS3IVjhRgDp6VaormeGouqqzgudK17a27B0t0K/9m2uUP2aIFG3qQgGG 9asUUV0JJbCGTXEduuZHVB/tHFQeDzLc6xNewwXEOn3MG7dKRseTcoBABPYGql5aRy+ItKaeKK5h lZoGimTcBkZ3D34rofEWoSeHtNtE0+CANJOluiSAhFBB5wPpXxmc4qpUqfU1Dt8+1u3Y9LB04q+I m7KBuUVzOi65qU2uiyvvsxV7dpR9nVhgggdz7mumr5arSnQm6dRWaPo6NaFePPDYKKKXT9Bv/Gni nRfC2nXEdlcatK6G7kJxFHGhkcgAHLFVYD3xyOoyScmoxV29F6vYK1aNCm6ktka/w/8AhzrXxc16 5sdMujo+kWK/6ZqslsZQXOQIo1OAzevPA/AH6t8H/Cfw14P0PTLCHSbC5uLK3jg+3S2cXnSlQPnZ guckjNafgnwTpHw98OWuiaLarbWduoycDfK+ADI5AG5zgZP9MCt6v0XLsrp4SHNUV5vd/ov6ufG1 pyxE/aVdX0XRen6vqFFFFe6SFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAVW1LzP7OuvK3eb5T7Nmd2cHGMd6s1xnxc8c6b4D8B6ze3 2o21jctZTizjnkUPPMIztRFJy5yRwPXnisqs1TpylLZEVJKMXJnwF4a/5AVn/uf1NaVVNJtzZ6Xa wsMMkahgfXHP61bpUYuFKMX0SFTTjCKfYKKKK2NAooooAKKKKACkZgq5YgD1NLWF4wcR6bDIUWQJ OrbHGVPB4PsawxFX2NKVS17K4m7F3UPNaSzvLVFumtJvMMQfG/gggHnnmkkhv9auIrrUZjCiSLLH ZRfdQjOMnueeaytH03VdP8Ptq8f2cxSZmltWj8sgDI4xwOmelbmnalBqlv5sLhscMOflOAcfrXiY aWDzCt7dr94un6ruaXqQjySulLW3f+uwy70157yO6hu5rSdEMe6LHKk5xyKT7LqP/QbvP/HP8KvU V6tTBYatJzqU02xKUo6Rk182VLbXNS0W8Q6hPLqNi6EF4rdQ0bZGOF5Ir2n9lH+zfGHxW1HUWSSS TRrANarKChglkYpISvc7CV59TXmPhfwfq/xG8TW3hvQvkuph5lzdkZSzt8gNK3qecAdzX298N/hT 4d+Fekmy0O0Ilk/4+L+4w91cnsZJMDOM8DgDsK8SOV0friqUdotN9r9l59fImeKrVV7C94p3bf32 udhRRRX1ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFAHMeP/iR4e+GOjDU/EN+tlA7eXEgUvJM+M7UQAkn9B3Ir4W8Z68fH/xA 13xPPBOsd3cf6FHe4MsMCgBVwCQvTOAe55Neh/tYNq0nxj086paeXpK2PlaPIsqushGGncrnKNuY L05CivLq4IL6xUc57RbSXn3f6eTOWP72blL7L0X6/wCXkFFFFd51BRRRQAUUUUAFFFFABUdxbpdW 8kMo3RyKVYVJRSaTVmBVt9V1DSIXs5YZtRtChEU0ZHmoMYw2cZ9jVDw2lyv21rlJgzyhleYBSy4A HA6YAFbNFeVQyyhhq7r0tPLoaTqVKijGbukFJJIsUbO52ooySewpaoa4nmaXONjSJ8pdFzlkDAsB j/ZzXpVJOnCU0r2RhOXLFy7H1f8Asf8AgebR/B+oeKr1GjuvEUiPBGw5S1j3CI+xYsze4K179Wd4 duLC88P6XPpQQaXLaxPaCMYXySgKY9tuK0aihD2dNK9+t+7erJpR5YJXuFFFFbmoUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB 43+1R4DHir4Y3mr2qD+2fDyPf20m4L+6ABuEOeMGNSceqLXyDbXCXVvFNHnZIgdc+hGRX6NahYwa pY3NldRia1uI2hljbo6MCGH4gmvjPxF+yz448Gx2EOkPb+KbaZ/s+Ih5L23zYRnLHlMdSBxjpjmu GTdGq5tPlktba6r/ADX5HNJ+zm5W0f5/1+R5rRXq2pfso+PdO8MvqcOo6dqmtK6/8SG1TYjRlgCR cSMvzAEkgrjg4J4B858S+EvFHgWSxHinw/Posd9xbzeak0bNz8jMhIV8DO084q1ioXSknG/dP89v k7PyKVaN7STXqv6/zM+iiius3CiiigAooooAKKKKACipdN03VvEGqtpuh6Pea1epD9okhtFBKR7g u45I7nFbP/CsviB/0Ietf98J/wDFVzSxFKMnFy1Ri60IuzZg1Noui6p4y1ZdG8P6bLrF/IQkixKT FbgnG6Zxwi/Wt21+EPxF1e5isofB2o2D3DrH9quwixQgnBdju6AZP4V9r/D/AMBaV8OfDFho2lW8 UaW8CRSXCxhXuGA5kcjqSSx9txxWbqyrPkouy6u34Lz/ACIc3UfLT+8j+GPhGTwD8P8AQPD0063M +n2iQyTJnaz4y23PbJOM9sV1FFFdUIqnFQjsjeMVFKK6BRRRVlBRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVh+NfBel fEDw3eaHrNv9osrlcHbw8bfwuh/hZTyDW5RUyipJxlsJpSVmfKfjn9kHVNHVrvwVrUmqRrt3aVrL L5jcnOycYHQjAYdvvGvCtVF14b1Z9K1+xn0LVEAJtb0bdwJIDI3RlJBwR1xX6Q1l654X0fxNA0Or aVZ6lGyGMrdQLJ8p6jkVy+xnT/gy07PVffuvxXkYezlD+G/k/wCrn56ghgCORRX0b4//AGPbS6vr a48C38XhqLYyXNndGW4iJzlWTcxKkc8dORWJ4q/Y61fTYYpvCfiT+0XwomtNcAUM3G5kkQfKPRSD j1NHt5x0nTfnbVfLq/uuHtZL4oP5a/8ABf3HhtV471bm+Wxs4ptR1ByFSzsYmmmYnsFUHmvpLwb+ xxb/AOjXPjTXpdUdfmk0zS829sT/AHTJ/rHXr/cPT05948J+CdA8C6e1l4f0i00m2Y7nW1iClz6s erH3JPHFPnrVPgjyru9/uX6teg+apL4Vb1/y/wCCfI/hf9mj4heKIGnuYbHwtBgFF1FzLO//AACP hfxOfbnjeX9kHxkq4PibQ29zazf/ABVfW1FP2D6zf9fIPZvrJnhnwL+AGsfC3xhqOuarq9jfm5sB ZJFZwumP3gfcSxPpj8a9zoorWnTVNNLqaRgoKyCiiitSwooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/9k=