20210224 08290700 1.0 FALSE T2020_Census_Blocks_Sutter_County 002 0.000 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) <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/3.0.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_California_II_FIPS_0402_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,6561666.666666666],PARAMETER[&quot;False_Northing&quot;,1640416.666666667],PARAMETER[&quot;Central_Meridian&quot;,-122.0],PARAMETER[&quot;Standard_Parallel_1&quot;,38.33333333333334],PARAMETER[&quot;Standard_Parallel_2&quot;,39.83333333333334],PARAMETER[&quot;Latitude_Of_Origin&quot;,37.66666666666666],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2226]]</WKT><XOrigin>-115211800</XOrigin><YOrigin>-93821500</YOrigin><XYScale>1600</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.02</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102642</WKID><LatestWKID>2226</LatestWKID></ProjectedCoordinateSystem> NAD_1983_StatePlane_California_II_FIPS_0402_Feet 20221121 10141600 20221213 9580900 150000000 5000 ItemDescription Esri ArcGIS 13.0.2.36056 2020 Census Blocks Sutter County 2020 Census Block Demographics for Sutter County. For use with the Census MAF/TIGER database, the Census data site, or with other statistical applications. 2020 Census Blocks for Sutter County. This feature class contains Decennial Census P.L. 94-171 Redistricting Data. Blocks are the smallest geographic unit available and are the basis for all other census geographic tabulations. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>2020 Census Block Demographics for Sutter County.</SPAN></P><P><SPAN>Decennial Census 2020 includes tabulations of housing units, total population and adult population by race and by Hispanic or Latino origin, and total group quarters population. Data are summary statistics for population and housing from a "100% count." The Census Bureau attempts to survey or interview all known addresses. Geographies nationwide can be obtained from Census, with disaggregate geographic detail down to Block-level.</SPAN></P><P><SPAN>The Decennial Census PL94-171 reports summary statistics on population and housing for use in redistricting. The Census Bureau attempts to survey or interview all known addresses. Still, the data are subject to error. The errors derive from survey data collection (response errors, field follow-up for missing cases) and processing by the Census Bureau (geolocation of population and housing, data coding, compilation processes, and imputation of missing cases). </SPAN></P></DIV></DIV></DIV> U.S. Census Bureau Census 2020 Block demographic population SACOG dem2020 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>SACOG provides data as a public service. These data are provided "as-is." While every effort has been made to ensure the accuracy or correctness of these data, SACOG makes no warranty, expressed or implied, as to its accuracy or correctness and expressly disclaims liability for the accuracy thereof. In no event shall SACOG become liable to users of these data, or any other party, for any loss or damages, consequential or otherwise, including but not limited to time, money, or goodwill, arising from the use, operation or modification of the data. In using these data, users further agree to indemnify, defend, and hold harmless SACOG for any and all liability of any nature arising out of or resulting from the lack of accuracy or correctness of the data, or the use of the data. Users will not distribute these data to other potential users. Instead they will refer those users to SACOG for an independent dataset and documentation. To assist SACOG in the maintenance of the data, users should provide SACOG's GIS staff information concerning errors or discrepancies found in using the data.</SPAN></P></DIV></DIV></DIV> Enterprise Geodatabase Feature Class 0.000 dataset EPSG 5.3(9.0.0) 0 Simple FALSE 0 TRUE FALSE T2020_Census_Blocks_Sutter_County Feature Class 0 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. FILEID File Identification String 255 0 0 SUMLEV Summary Level Double 8 38 8 GEOID Geographic Record Identifier String 255 0 0 GEOCODETract GEOCODE Tract String 255 0 0 GEOCODEBlockGroup GEOCODE BlockGroup String 255 0 0 GEOCODEBlock GEOCODE Block String 255 0 0 STATE State (FIPS) Double 8 38 8 COUNTY County (FIPS) Double 8 38 8 COUNTYCC FIPS County Class Code String 255 0 0 COUNTYNS County (NS) Double 8 38 8 PLACE Place (FIPS) Double 8 38 8 PLACECC FIPS Place Class Code String 255 0 0 PLACENS Place (NS) Double 8 38 8 TRACT Census Tract Double 8 38 8 BLKGRP Block Group Double 8 38 8 Block Block Double 8 38 8 CBSA Metropolitan Statistical Area/Micropolitan Statistical Area Double 8 38 8 MEMI Metropolitan/Micropolitan Indicator Double 8 38 8 CSA Combined Statistical Area Double 8 38 8 UA Urban Area String 255 0 0 UATYPE Urban Area Type String 255 0 0 UR Urban/Rural String 255 0 0 ZCTA ZIP Code Tabulation Area (5-Digit) String 255 0 0 SDELM School District (Elementary) Double 8 38 8 SDSEC School District (Secondary) Double 8 38 8 SDUNI School District (Unified) Double 8 38 8 PUMA Public Use Microdata Area String 255 0 0 BASENAME Area Base Name Double 8 38 8 NAME Area Name-Legal/Statistical Area Description (LSAD) Term-Part In String 255 0 0 POP100 Population Count (100%) Double 8 38 8 HU100 Housing Unit Count (100%) Double 8 38 8 Population Total Population Double 8 38 8 Population18_P3 Total population 18 years and over Double 8 38 8 HispanicOrigin Total__Hispanic or Latino Double 8 38 8 NotHispanic Total__Not Hispanic or Latino Double 8 38 8 NH_Wht Total__Not Hispanic or Latino__Population of one race__White alone Double 8 38 8 NH_Blk Total__Not Hispanic or Latino__Population of one race__Black or African American alone Double 8 38 8 NH_Ind Total__Not Hispanic or Latino__Population of one race__American Indian and Alaska Native alone Double 8 38 8 NH_Asn Total__Not Hispanic or Latino__Population of one race__Asian alone Double 8 38 8 NH_Hwn Total__Not Hispanic or Latino__Population of one race__Native Hawaiian and Other Pacific Islander alone Double 8 38 8 NH_Oth Total__Not Hispanic or Latino__Population of one race__Some Other Race Alone Double 8 38 8 NH_2 Total__Not Hispanic or Latino__Population of two or more races Double 8 38 8 Housing_Units Total Housing Units Double 8 38 8 HU_Occupied Total__Occupied Housing Units Double 8 38 8 HU_Vacant Total__Vacant Housing Units Double 8 38 8 GQ_Institutional_Pop Total__Institutionalized population Double 8 38 8 GQ_Inst_CFAdult Total__Institutionalized population__Correctional facilities for Adults Double 8 38 8 GQ_Inst_Juvenile Total__Institutionalized population__Juvenile facilities Double 8 38 8 GQ_Inst_Nursing Total__Institutionalized population__Nursing facilities/Skilled-nursing facilities Double 8 38 8 GQ_Inst_Oth Total__Institutionalized population__Other institutional facilities Double 8 38 8 GQ_NonInst_Pop Total__Noninstitutionalized population Double 8 38 8 GQ_NonInst_Student Total__Noninstitutionalized population__College/University student housing Double 8 38 8 GQ_NonInst_Military Total__Noninstitutionalized population__Military quarters Double 8 38 8 GQ_NonInst_Oth Total__Noninstitutionalized population__Other noninstitutional facilities Double 8 38 8 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 20221213 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD7f+Of jD+3tLu/CuiWGqapdeZF9rm02RUjg2sGeKVv4vl/gXmsCTRPDX2XyF8GX0KbNm63s/Kfb/vI+6tq +0+3+EWrfYbmVn0bU557qG8mPzpK3zNE396rH/CQX2of8gzSJ3T/AJ7X3+jp/wB8/erzK8pc1rHx uZ1q0q3LJWS21scD4T8Ra3peqLp+m2M954ann+z2E2sP5TxNsd3i3fMzL8jff/2a6PX9dng8q21n R7mKWZ1Nnd6S3m7Zf7nzfdb/AMdrmo9P8R32iLpkV9FYaxp10l2ti0SJvXzX2bZW3/f+b+GuisdJ ufHGjxTv4j1KF4p8tF5UCSwTp/B9yodr3Zw1OTm53b8fv+Zb03xxLpug2T63pupQX21Un/0X70v/ AAGrd948j0+38+XTb6K3X/ltcKkSf99M9Z198O9SvI1VvF+rzOjrLEsyRMm5fu7vkrN0e+u7PU55 /Fdo2o6la7tk1tFvSCL+8kX3v+B/NWfu9DHkpSvJa+WprJ8ToJovNis4PJ3bd82o26f+z1es/Gkt 593Sp5k/v2k8Vx/6C9cxpepT+PtT/trRoIVskSW1iuLiD5fv/fZPvN937tWm8HfavF0MN5fyuq2r XDfYYlsn379n34vm2f7O5v8Aap8sQdOnHRqzN668fWOntbrcWepQfaJfKj3WbfM2zft/75V/++an /wCE0s/+fTUP/AN65zUv7T0Txl4Wiup59T06aWWJLy4Rd8UvlP8Af2Jt+b+Fv9+vQ6mVo7IwnGEF F2vfzOZufHlnZxPPJY6kluv3rh7V9lY7+IEt/GMV7bW2oLY3Fq6XifY3+eVdnlP/AN8b63fGcaXO nW9jOiva3862k+/+4/8Anb/wOsGaCL4e6ld22lWy21rqyr9jihRvKjvPuv8AL91Ny7G/4A9UrF04 w5dFqyxpvijT/EXixWaVoUs90UEVxEyebcfx/wDfH3a7esVPC9n/AMI/FpMil4lX/Xfx+b97zd39 7f8ANXL3nxW0rwfqT6b4jv1h8r5U1DyJdkr/ANz7m3d838NTy83wkOHtnaituhev4dMh13xB/a0U T2P2WK7bzl3bdu9N9YGiw6vY6jp9yukapNbxXV0+yWVW8qJk2oibnrG8efFDw1rUUVzpGp/2k67b W5S3gl+VWlRkf7n99Nv/AAOvRZPiRoMPm7p7tPK2eZu064+Xd93+CrtJLY6nGpTgvcevfochpfxW 0/RbzVXvtP1C2in1H/XfZmZF+4n3v96rHhvxZ4R1i1u5bme2vEbULpoGmgd/vP8Aw/JWVf8AjDSH +H1wvnz7/t29dlrL/wA/H+5WZ4K1K08Mw2WnahusriLWpbpomib/AFTxPsf/AHXfdVuKd3azN3Si 4SkotP17FpvHmkWHh+70+Cz1B/8Aiay3C/Z7B3i8r7Xu+X/gFaGu+PrbVNNe+ufDVteeVA0vk3yS s6Ls3bG/dNtat7wT420GHwzaLJfRo7ea/wA6t/E7tXI+PviVNqUHiLT9I1SzSKGDZte1f5k8re+5 9/y/eZfuUJXlawow5qjjyNa7tvy8jY8H+CbzTfDdjbXPhvRby4VWZrh5fv7n3/3P9qqvxO0G+/4Q HWtvhzR7bbA7NKkm51X+Pb8n3qNH8fN9lvVvvGGn2EVqyxLN9g2f8sk/vP8A32aszxt4ss7nwXrT /wDCwf7SXyNjW9vZxbfn+Vd21KEpKX/DlRjV9sm+/ZnZeBdBtpNI+zXVjHp2qaXOwWS0bbLB8vy7 ZV/2H216p8NtS1LULHUGu7me+sln2Wl3cIqPIu0bvuIvy793zV8o+G/FVt8UPHlvbXzRzfaomt2u 5dOiliWVfmi+/u2s6b6+lfhfeaho10nhWST+0bGxs/MS98ra8R3KEif+H5vn2+yV0Ulyzs3v0PXw ClSxDhUk7tXt0PVKKKK7T6QKKKKACiiigAooooAKKKKACiiigAooooA4P4seEbrxd4bi/sowJrWn XUV/YtP91nQ8qf8AeXcv41xOn+MIpNUOl6pZXehar/DbahFt8/8A65P92X/gNeieMPiNofgmS1i1 eeVJLgF0SC2luGVV+87hEbaq92Ncr4m8f/DD4gaHqOlanruk39ssTOyTShMf7SMw+9/u1jUoxqbn l4zA0sZ8TtJdf8zlZNB0vXfGmr/2hptnqWyztUX7XAku35pf71cv8RvDMvgmzXVvB7T6RczzxRXV jpkKsl1/2y2Ptf8A2kWuT+E/xKttNubtI/CeqbHgt4t+l6du83a8v71lRf8AbWvQPEfxE0i+uNNt o4tU+1RX1vNLbvo91vVfnb/nl/sN/wB8159pxlY+VdKtRqqNm4r5r9SjY6pf+I/s9tpeta1DqSfP eW+owIn2X5fuP/o/8VZ+pWOqa1qyaZJ4strbVLWTbE7NtlVtm75G2L/sbkrpLrWvBeu31xPdabcX V1Ftile50W63p8m7Y26L+46/991zP/CSabpWseILbStB+2abLFbu9u9rdRfNsf8Ag+zv/s0JNdAj zX92DXyX5v8AIo6lY+NfB91f6jfWLeIbh9nlatpKLFcKq/8APVF+9/3w1VdE+ImtX9493cxXP2dm WKe+0y1824iVU+RPK+fb83zNXS+H/Hl9pHnefpE72TsrRW8P2qWa3/2Pnt13f99Vmap8RLnxN4iV dIsp4ruw3rPDFF/pEsTp/tqq/J/c+b/vqr3vdGy5pXU6a9djqNS0VfEHhuXUoPFOoalaLF9oiVGi RHdPmT7iL/EtW7GbULFvC8763PqCapLslSZItm37PLL/AAp/sV5bb+Ff7J+0T30+lvp/lIkVwy/b Yv8AYSXf/qm/h37Nv96rviLwbZ6xp+hf2M8dzdy37RfZ0giidf8ARbhvv/3flqeVdzP2Ufh5tNei PUviJqtpYaNF586pK08TxQ/8tpdjq37pPvM1Y7+PtF1XxVb+bLdpb2CvtRrG4VmuP93Z/Av/AKHX Mx6OnhS0t7y5kXQtXsU82Lfp0SpcN5Tps+0L8r/ff5d27/ZrobOHUvD8+iz6hZtdWNv5ssuoaerS uzSp954l+b739zdU2SVkY+yjGNt3/X6fmdG3xE0GFkV57lHdti77Gf5v/HK+T/jHr134w8TXtnp+ 6/tIr64lWGGB/Ni+4nz/APfFfRtt4ts9U137dqGpfY7SyuZfstu1nKnybNm9mZP9+pW8YeGk8cW8 8WoWaH7HL5sq/Lu+dKqm/Zu6RthpfVJuSg27f10PEvh74N8K6f4JhvtVkVNdl1OwV7W+fyniX7VE j7U/3Heu+1Dw3C+m6rctPqEKXmlNd/ZF1C4VHZn2RIy7/m3r8v8AwOur8SeLPC3i+STRJ9SsX075 WvJnb7/z/cX+7935mrzTUr/RY/iRcX1jr1tbWlmtvFZ7LpJU/wBbsl2Oztt+R91aczldnUqlSvJy ldPf8tPwPRPH3gvRtI8NW4+3ahYaet5bq0P9oS7G3vs/if8A293/AACvONS8N+Gv+EtuIl1zTb/T fsdu8qXc7r5r+bL8m9X+9trVh8Up4jW7vtQ8U6bePYain2XT5Z7eLeqOjb13P97/AG66NfE+ieJv Gmpte6hHpC/2dZ7Zvtlu33Li4f5XV3X+KpjzRVjKn7WimpNvvv3Xl5mr4E8WRaD4B0drzS7uz02K BVS7h/0iLZ/B935v/HK4Jvi1fa3rfjLSrLTY4YrqK4ZXu96Ptit9n93/AGK838efES+1vw/p/hXT 5VmtLXa/2j/VPu3/ACfP91qLqw1DUoJf7e1e2TUFs5ZftE11a3G5lRNib4pdys+xF2VoqVruW520 8HCN6lRayfn33/zOt8efESz17SdQ0HT7mNNK1Ke3+03FxE6Osqom+LZ/2yT/AMfrxrS/EOoaPoet 6LHebLK82pOu5Pm2uj/+yV03h7TdKvPDWoS6nqavL9la43290m+Jm/gdZdm7/tluaucvNJtnj26f eTzIrNumuP3Xyqm/Z/6HXRCKjdJHp4enCmnTS0v+Omp1HgC8gs/9DvNTns915a3UV9btsRGXf/Bv /et9zb/uV9ieAb6+8E+Jl0y/ujqGn60xeK4jtgnl3Xo+3++v/oFfB14kGlalcWK3jXNvFKu3ymR0 /wC+1fb/ABv9yvefhj8SH8T+E4dGub5pvEUWqwf2fLfL8nyunztL935H/wDQ0X+KpkpRkpIipGpT rQrU9U3Z+j6n2/RUSb/LXf8Af/i21LXSe0FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeT/GLwpq17 f6PruixXNxJYrLBc2tiyJO8b7fmTd8rbdv3fevPo5rbWLiGxu9X1SzvX+eK11jT0ifd/sean3v8A cr6ZrmvG3gfTfHWlLZ6kjfu28yKaPh429VrCpSU9ep5eKwMMQ+dO0jyv4f6hBJokOm7pEvrKJfPh midGTdu/vf8AAqzvEWh62+sX1zp9hZ363SwNHNLftbvA8W/b/wAsn3ferD+IVhH8KfFtlbeE/tLz x2M9xqY1LzZ0ul+Tyth7sv737n3a623j8R6rbxOupabDayrvS7tIGd2X/dZ9tcFSDhLc+WxWGnhK jbas+9zj9F1DUP8AhIvEa6veT+HpWuoN32TbLaM32eJd/msny/wffrpvBjxw+IPEaNqX9pO0tuyy syfN+6/2a5F7m+0fxV4gs7nxLc75Wid/J0dZd37r+Lb/ALGymeBofD83iDxBFqEsVzcXF1EkEz2f 2V/9Un8P8NJx6+RNSF4yl5LZendHslcH40ttK0/xBpVzef6Mt47xSzL8vzqu9H+X+L/4qsrUvF+u eFr+/sXntptNt5dq6tqEbv8AZ9yb0SXZ/wChUx/Elra+JfD8t54qXUkVpdyfZkiRW8r73ypUKLRz U6M4vmvpbp6HN+IfFsGia3E2p6raarp8rfuru306J7iL/rqjfe/30/74qSSx8Owzf254f8XL/akD boNsG+03bX3IyRJ/t112q+PvDl54q0VpdQghgt1ndprj5E+ZNmz5v96qPiq18MafDe63omtwaRrE UTMv2G8RElf+68X3WrW+2h2RntFxab8tPnpt6HOaX8YLLxhfRWPjDTf7KsLXzftMzo72M8vybPm/ h+V3b5/9iuwt/GuieHLy0+xaqlzot1+68rdv8hv4XVv7lc14T+JVtYWb6N4xtrZ2vN1xLqFp/pFo 27+GX+61XtS+GOoW9qmoeANeX7P5qXEWl3cvm2m5f+eTfwU2ls9PyHUhT5uWS5V0/lfne2jOn8Vf ErRbDQrqex1yx+1qq+V86t/FXG6p4mu7jxlarp/i7T5ke2aKW78hNkC7/wDf+/8A7NZviD4iazea b/Yury/2VrUssST2M2n/ACKnmp86S+btZa9t03R7bTbXykXzP42ll+Z2b+/WbSprUxlGOFiuaN27 +fbyPOvC3iT/AIlO2PxZpsSRSyxL+4R92x3Xf9/+Kuf1LUl0HXtYvoPF+mu/2P7Q7vbI+5md/kT5 67XwP4k0GHQ3inurSC7+2XTyxOyb1/0iWsTxtrGkNfand209pM9vp0EqpvRUneK43+V/wP7v/A6u O7Vi4v8Aeyjyv8O/oaXw+/sTw9o8qXOuaXqV1cS+bLNFsRFfYm/+KrNnregp8QNYla+sfKl0yzRf mX7yy3W//wBDSrHhmbQdH0S3gu7nSftfzPLslR03M+779VrfUvD/APwn163n6f5X9mW/93Zu82Wo 3buYP3pTunt+qPM/GGt2mg/BnTbTw/HZzahqm37Ts+Z9zfO71zmj6raWHhnxHrkuoQTfbFW1TT5r HzZdzRJ/t/L89e5+B9S8Pw+DdEWefT/O+xxbt7Jv+5WJrGqaGml/EPypdPd2id4E+T5m+xJ92tIz 3Vup3U8Rbmp8j3u3319Dyz45aP4V03w7o95o1zHDLOvlTw2jbon+T77p/erP174kalbWfiXw1p6K 9k264aa0von3KyJvRnZPm/3UrP8Ai5rViPDXhXSLOOGa3tYJbhmVfnbczbN22uQ0ewl1K11O5s57 RHt7Nnb7R+6dlVE3oif3q6ox91cx7NGjzUYyqa2b39SHxDqq+JNU1C+ttPg0q3Zml2JKn+wn/Avv /wACVN4ShVNSia51CewlZfNtfsK73lZf+Bp/cqj9jivEeKeBbaXzd8X2fY7tufZ89ekf8IBBo+m6 Z4j/AOEh0+2uLeBfN0+3XZcNF9x/433NVyfKrHXUqRpRUb27f8OfWHwE+I11400e70nWnZte0gxe a7pteWJ03I7f7X3lb6D+9Xr1eT/AfwhJpOhzeIr9Nmr67/pEif8APCDc7RRfgHr1itY3tqd9Pm5F z7hRRRVGgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBh+MI7lvDOq/YLWO71BrSVYIZf8Alo204Wvm Hw/qFx4ZtdQ0E+INWs7jS4l8q3m06J9qsm7Z/qty/Pu/i+7sr66ryP4zaLp9vfaBrK2kNpfNqMSz 6xwpiiVH+R2/uv8Ac/4FWNWPNG/Y87HUVWpXb+HX+tDwrwx4m8UfatSvpbm+/wBMaKXdDBF837pP +mVNg8TXdx/as+oa5/Ztx/bFrut2s0d/9VF89erSapbeCJzBey+XpE77rOba7Mrtu3xfL/30v+/W Bd3kV94gu5FjlS0uL+zfzpoGTcyo+/73+6n/AH3XBzLex8oqsZNvk0/4Yi0GwvvFsviPyNetr/T7 iVbeX7Rp25Jf3Sfw71rnV1LxBp+saJbW1/d63p8W5LO+XTN275X3fel3PtX+Kuy8CeL9Fi8Px3Vz qVt9t1GV76WJJdzr5rbkT/gCbF/4BXOWet2k2h+ALZNQu9Ne3gX7ZcRQfPF/o/8AtI6/epa32FFy 5pJx0Xkuz8iLxRqmr/29aG9voLn+ztR+z749Hd02yxbfm/e/7a/LVXxJeS6lcWWlRX1sjyy+bOy+ HtrrEnzf3/7+xf8AgdaCQ3Ot2GuxRXlprGmRanBcT32rSpF/qnildGVYkX+DZ/wOqmj6jo015f6h JpvhdkkfyokadF2on935P7+6n+hrHRbbdreXkbHw98TQWek6rZ6rBJcytfy7vs9hsiZfk/grP0eO C68UvJ4IWbSN9vcNNbzf8elxLFKibPK/h+/95NtUtH1TSluNV3aX4S/4/G2/aNRiXb8ifd+Stiw1 K0tdei1PT77wloSLatby7LpJfN3Oj/wun9yjqzOceVyaW/3fdqQ/EfWNG8YeCbj+0YksNds7iJRb 3H+tgl81N+3+8u2n+BvitFYWt3pWpWuLuznbb9nnSWLa3zJtdn+7WlZ6tBeajo/ieTyXivJ59Fup Yfnil23DpFL/AN9p/wCP10upWkOl+JbC8+zx+Ref6FJ8v3X++j/+hLU6JWsZSnCMPYyi2tX6PscR 4D8Q+GvDHhC41O7uYHu7y8lbyX2eb81w6In/AI9Wot/Y+IrXbrOr6DaWUjb2sbd4vO2/3Hl3/wDf W1a3PiRpttN4ct4vIj+bU9NX5V/6fbeujmsbGGJ5JILZFX5md0X5anm+0Yyqxf7yzu2/08vM878d 61ob3GgLpVxoVzcLqO9obidPJ2+VL87bP7r7KpWfibStN8Va1d6vPo80MWnWaL/Zm10ZmluP8/8A A62NCk0vxDdWms3zaPbRRNK8FvCyb933N7t/u7v++6ev9hTeOvEG5tPdP7Kstv3fvebe/wD2NVot LGvuxi6bT0Wv3o5/wnean/wi+mLBL4Ohi8hNv2hneXbs/jT5PmrV8G6lplrqHiBNb1DQJL37TE2+ 02RRbfs8X3Vd2ro/BuiafN4T0d2sbZ2a1i+byk/uVV0H+xrPXvFCz/YbZ1v4kVH2p8n2W3b/ANne pcr3JlUjLnSX9XPBP2ltS0//AISbTG0qe2uVa1+ZLdkaL7/8e2uP8DaVp9noOt6rfSrcu2mXlrFD 8n7qVok2P9//AH6971TQY7bxje61pq2P2iWXfFN9qiZNvlImzymdf7lZN54g0+Hwb43ttTgjfUJ1 uP3tvEmzd5XyfdauqM/cUUexSxHLRjSgr7euv/DnzlbXl5Dqm22+RFZdzo2xG2v8j/8AAK7vw34k 0Xw3oOmXl9oupTXct5sl1B5US3ZVl+f5F+98n9+vSPHmtaV48fTYNF+021pb2d5FLdpA6I3z26Ps 2/e/uf8AA64XXvhF4juZbeC61C+mtNyo13dwOiRK33/+Ap8n/ff+xWvOpaS0O328K0V7X3b9L69U fU3w9+MXhu38MpZnVoby6juZbe0tYPnlkiD/ACcf7temeGfEkHinT3u4IpoBHK0MkVwm11Za+TPh Z8NZbWDUtOg1C2TTdO1FftV95H726ni2P8jb/wB0ifc/77r6P+FtvJHBrt9ybPUb1bq2dv4l+zxR bv8Ad/dVUJ80uVbI6MNinUq+xjrGK3+633nf0UUV0HrhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB XFfFTw5e+JfCFxZ2Mkwbdult4X2Ncxfxxbu26u1opPUUlzKzPl3xd4q0az0fSNNW7m8PPa3Vv/x9 2zq9qif76fN9371XPFWl3Oq+DrnVYPE7XdvbwS3UE0NvEyP8jV9KMgdSp6VwF58DfA99dyzz+HLS RZW8xoPm8jf/AHvK3bN3/Aa5fq+ujPAllMU06c9n1VzyKHUl8MWdvpjeKoHls4lilhtNMe48hVT+ Pbv2/c/jq2vi2DZ8vjrRHT/atkb/ANq17/ofh3S/DOnpZaPp9vp1kn3YbWNUT8hXnXiHS4fD/i61 ttNaSKC5glnntcfuovnTa6f3f4/lrOpR5Y81zkxWWqhSdVSu1vsv0Z4zqvjDSW0bxTp83iXS31K8 niS2midIl3fJsb73y11Ola3FYabbwW3izwzNFEuxX3J/8dqpNqSxeNPEV5J5XlaNuuIllbbvna32 p/3ym/8A7+1tw6lqd/bw3Mq6BvlVX/fO++uZ2tY8mbVkrdn03svIy/h94i0a1i11r3VNJW7l1OV2 dJ0VJfufOtXrjxV4f/4TnT5TrGm+Uun3Ss/2qLZu863rmofsP/CIeKmvv7NS8l1N93lbdjfOn3av eE/7PtvGj2cttbQ/ZYr997+VsZZb1Hi2/wDAKJRWrCVON3Ud/wCl6FrR5tI8Q+BNU0xtUsoftV/q XlP5qNs/02V0f/0BqTT/ABlJ498E/LpOoPduvlNcWqI0UV1F/Gm5/wCB13Vc8eR+H7PS7WWOzsZn +2QfubaKJ5Zfn+4q1k+F9Xg8LfEW90j+zrvS7DW/9LtYriJERLhf9aqbW/j+VqfTQElODml1uv1/ ryDxV42n1vwrp6/2fPpt0+p2Cyy3abbeCWK6iZ0Z9395NtdHeLfa1bpBqF7pL2W9ZWSFt+7a6Pt+ b/drH8SW7f8ACZWXhyWKP+zdUul1KJ5vmXzYHR5Ytv8Atbd1aEPhPQ5PGOrq2jae6rZ27r/oqfe3 y/7NS7JENwjFW03ffsupL4D8N6FN4dsp00vTXuNjbpVtU3VmeL9BtvDM+q+IItL0u5sGsYopYZok Xytjy/Ovyf8ATX/x2qHhnwTBc6DaS/8ACJ+GbhPn2y3Fum9/nb/Yq7ceA4EtZn/4Qzwqu1W+b7Kn /wART6vUeiqNuX9X/wAR03gnULaHwfoitPGn+hxfJu/2KztFttIvte8US3MVjczNqKIjTKjN/wAe tvTfBngzw/8A8Ino7S6HpfmtaxO3+hxfe2f7lR+HvB+gXOqeJ1l0PTJkXUURVazibav2S3+T7v8A tNUaamD5FKdm+v5+pc16xtLO/sLKx0PS5p7pJW/0iJFRFTb/ALP+1XlniDwZc6xovjDa+n27pLL/ AKPFKiKrIiPsX5N3/j1ehal4B8MR+LNFjXw1pKRSxXW5PsEW1vuf7FbOqeDPD9to175eg6Wm2B9u yyi+X5P92rjJRehtTrKjy2bf/D+p5roPhXVftEWmWN5ptzFLZtdLM8rv8ryxP/c/2K6f4nX+vab4 G1We5bS3i8rb5Sb9zN/crntM1rwxb3XhX+y9Z0/RJW02X7TLaqi7m22/yN/eb73/AHw9Z+qXF38T vHmneFNI15tVt2ZzPKypti2bN7/Kn919n/fdaKMpTWh3Qo1K1eKa+9effboeqfCfwr/aWm2djJEn 2C1X7RqJXpNdS/vfL/8AH9zf8Ar3NFWNdqrtVelY/hvw3beF9Ii0+23MqlnZ2PzOzHLNW3Xowjyq x9ZhqCw9PlW739QoooqzqCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK8v8fxjQfEVv q9y+zT57b7M1w33IpFf5Az/wht2P96vUKhmgjuYWjlRZI2GGVl61E488XFnPiKMcRSlSl1PkfR9U 0jW4PEv9q6a1zqF/K7xP/ZjXHlRNCmz5tn92pbbXotH01WvPBdpNbwfL5qaZLF5i/wB/5krR1XwO Phx4vWfV9BtE0HUdTliS7kkini+ZHaJdr/NG3y/7lX/s/gX+0op5dUs5re3laWKxmlR7eKX++qV5 81yys0z5LEU/YVHCSb/qxm+GdS8Lf8Tpm8MyPtvnf5NFdvKXYjfN8lbH2DwnrGvaBc2ljpc1pcQX Eqf6Kn+x/BsqppV/4cvLjWLn+14bC7e+byriGXY7LsT/AL6WuKuX8PeH/G1j5qafqTxWsvmtNOix Sq+zY6u38fyfc/8Ai6n4r7nMoOcna6dv0+R65qXhPw7eQqq29nYSq6ypcWixRSqy/wC1XmvxU0ee 8sr1rHV57++0RYtVtftEqu+5Xfei7f8AYq9/wm3hP/oA6A/+/eWr1nw63oM3iK41CK08IW1u0Cxf Z7u8i+9v++u2JqIxkncdGFSnLmd3b5nT+KLgePvhhYa9pE6vqNj5WqWsv9+WL76f8D+da2PC+tQe INYu9Stv+Pe60y1lTd/D/ra474K+I9G0fS9X0g6lZrFb3zeQiz7ovKb+5u27l/h3VJ8LnttN8TeM tPguVexi/wCPP5vk2fOzov8Aub//AB+plHRrsROnyxnDX3dvR2Oo8J3niCHw7Y+RpmnzRbW2O988 T7d//XJq0NSvPEr6dd7tK0uFfKb/AJiLv/B/1ySrfgl1fwrpu1lf91Wnqn/ILvf+uD/+gVjze8cU pr2j91b/ANdTmfDPgnQbnw7pssukWjytbI7M0X3m2VN4PtrTR7/xRbWyR21umprsiT5EX/RbetPw rMqeGdK3Mv8Ax6xf+gVxf2zwsnirxV/bPkfaPt8X76ZH2bPslv8Axfd/vVS965onOpKabb38+p1O qzRf8JloX71f9Rdfx/8AXKrPirUrax8N6xdSy/uobKWV9n3tqo1c9qXhXQU8WaLEtjbbWgutyf8A fquK8caDocNl4lbUHns5oorj+zrdImSJv3XyfPs+b5/9umkpNFU6UKkoq7+7zOh8CeF7m+tbaefU tVhexg+xWrtF5TeUyRb1+ZPm+ZF/75rG8PTT6X8ZvByyyLMqalqircSt++ZW2RfN/D/ElexPcwJ9 6WNP+BV5fpulf8JJq1vPAizS2cVxetubb+9a6Rov/SeX/wAcrWnO0rs6sHiXGt7Se3/Dn1NRXPeF /GGneLIXNpKUuYOLm0k+WaBv7rrXQ16id9UfeJqSugooopjCiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKAPLfjhpll4w0W18OP5n26SeK9inibabXy3/wBa3t95f+BVwEPhOx0W88vW Vl1S1uGXytQuGZ3Vv7kv+z/db/gH+97N4k8Hw+IJUvIZnstUjXZHdp8ysufuuv8AEv8AndXC+JvA XjC5sYUR9Jv7dW3XVpE0sT3C/wBxHbdt/hrkqwqSemx89j8Piq1W8Ph/Eot8O/Dj/N/ZUH+9ueuT 8UeAdI0e+0q8tNGivN0rWssLT7N2/wC583+8tb0PxR0b7VLYyrd22oWq757F7V98VUfFnjPT9S8M XMVnFczT3CKtrvgdV3t9xt3+9XElNO0j5qEcRColK6Mj/hHrb+1P7PXwYqXHlfaPk1P+Hfsot/B9 snii0i1DQ2sLK6iaKL/TvN/er8//AKBvrY0XUte1i8t9ci0aDa1s1qyPefOrq/z/AMH95GWrviD/ AISLWNLeKLRoIbtWWWCX7avyyp8y/wANF3e1y3Umny3/ABf6s831Kzg+Efxa0902/wDCL6zA6NDc PuSB0+Z3+b/vqqvjybSLn4l6F9h8ubT9SntYp0RdqK32hN//AH2u2s/x9os83w90rXm0WOG4t7lJ Z7uGffLKrvsdNv8AwL/xyu08fInjX4R2+qKq3N3pMsV9/wBdfK+//wB9Juatuz+R3rRwm3du8W/y /Q77/hAfDyqqppUCIv8ACm5ar6l4D0FNOu2XT49yxN/E/wDcrG8Lf2XqWvabqHhiPydK+xy/avJX ZC7N5Xlf7zLseup8T6l9g0t1jga5uLr/AEeKFW27mauZtp7nkSdSM1Hmf9fMx/DPgnRH8O6a7afE 7NbIzf8AfFctrHg/R4dD+JU66fAklv5vlt/d/wBAhf8A9Cauu0e/1nStJtLOXw5cu9vEsTMl1b7G /wDH65HWNa1J9A+I6voVyit53mN58X7r/QIf9v8A4FVxu5bm9N1PaSaf4/3l5m38QvBujWfgbxHd wafFDd2+mXUsUyffVlidqf4/8E6IngfxE0enxI66dcOrJ/C3lPXP+KtCtb7S7vRrbwR9n1LUbO4S 2maW3+R9n32ff/tLRrdrpE3h3xA3/CENDFZRXEU8qNb74tsW93X56pdNS4KXue89/wDL+96m3/wq mKFkaDUFm2/wahYxSp/wHyvKqj4HsbnwXeXq6jdxzRblt5UhtvK+zorytFL99vkfe/8AndWlZ+PN Wh0a4lvfDdwLuxi/0z/SYtm5U++vz/drjfFGtf8ACY67pTLpUKXavcWEtvceVcO38afJvX+4/wA3 +3/tUlzS0YQVad4VHp8vU9V0mAa94/02bSW/0jT9rXt8hztgYErF/t7/APx371e1V8k6D4Glt/Gl pHqFi2mxXVncf8eLfZd7L5X/ADylevQdJtr/AE/xdpel6HrGrvM0v2i8hurx7qKK1/iDLLu2bv4f 4q7KU4xSgj6DA4qlSUcNG7b/AK+491ooorrPoQooooAKKKKACiiigAoqiuqWck3kpdwvNu27FkXd +VXqACiiigAooooAKKKKACiiigAooqKSRYVZ2ZURfmZmoAoeINetfDOiXuq3rMlpZxNNLsXc21a4 GT4yXxTdB4I1d127vmkiT/2asD4oeOtP+IHg7UvD3h+2vdTuLp4ljukgZLT5ZUc/vW/h2r/DVHWP E2u6Xp8s7aHBn5UT/TP4m+Vfl2Vy1ari0onh47HSoTjCjZt7mRqvjj/hJNYi8Sa1aHSvsDzwWej2 kXm3srZ8p2lZfmZf9lPl/vVL9naHwT5nypBdX0V3BCjb0iRpUbZu/wC+2/4HXT+GfDMHh2zdE/f3 Vw7Sz3D/AHpWb/2Wql58O/Dd9I7y6Na/M28hE2Jv/v7V/irilUUndnzNbFqtVc6nf+l/VyTR9ul+ JdS08fJDef8AEwgX/a+5Kv8A31tb/gddDXn3irwHoGmwWmpLp6/6LOvm/vX/ANU3yv8Ax/8AAv8A gFPh8E6M/i+4tvsf+jpZq+zzX+9v/wB+s2lLW5zOEJpS5n93b5kU377wrabvnil8Qxbf9pfttcT4 mfVvhPa6lpNnEh0XVpVSz1Hf/wAeW776P/wH7rV2vinwDodnBo8UFrLDE2pW6+TDdSon39/3d9ae vfDfRLrRL2KWC5mRoH+Sa+uHT7v93fWqlFbnTTrU4NN6xbvt56fceZab4K1f4e2cN7LpqeIdAuFW WW0tJZUuLPd/c+f51rpY4fCHi2LQrnRZ2mRr5UlWG8lSWL5H+R/n3JVTR/DPivwToNld+Fb5tY0q 4tklbSdRbc8G5P8Alk//ALJXIa9oPgfxJo97rmkXlz4e8Vad888Lborhpf8Abi/9nStNJPf+vM7P 4sruXzX/ALcunqj2/wD4V/pH92+/8Gd1/wDHawdF8A6NfX/im2nju5rf7esOx764+dWtIPvfP833 q5rTbi20F4Lfxdb6hpaXG3ytXsdWvEtJ933N3735X/366Xw34Q0+41TxKFvNW8pNRTbs1i6+b/Rb dvvebub71ZapbnD79O95PbR/NeZJqXgnSk8WaLEq32xorrd/xMbj/Y/26h8beAdJsPBfiKe2S7hl +x3Fx/x/XD722fxKz/NW6/w70mSdJWm1Z5Yt21/7avdy7v8AttWN448G6dZ+C/EE6T6s7w6dcMqv rF46/wCqb+FpdrUk9VqTTq804LmfTt39Te8UaT5yvqFtAtzdxQPby2j/AHLq3b78Tf8AfPy//ZVw F5oNzoNq93ocsk3h23nTUIERov3TK+6VHZk83/x+uzvPHF5YaXcahL4c1BLSJd7ec8Svt/3d9cz4 q1rVfDdjqtyujS22lXMT+aksqfup3dfnXb/C+9t1Eb7FUPaK0f6f/B7Gh4y8caVDp0WsWjTz3WnN 9oj22cvzK3yOm7ZXoP7Plja3Hw50/XRJ9q1LWN91e3jfelk3t8v+6nKbf9muGvLzXNS8Hvbf8I+3 72z+XbeIzfdrpP2Yby2vPBOsS2zMkba1dN9kkb5rX7vybf4f4mx/tV14dK7PdydRTklHbre+h7RR RRXafThRXE6p8WPC2h67Lo1zqaf2hD/rYYY3lMXG75tq/L8vzc0knxX8PTW++xunvbhlzFbpA6PL /u7lpXS6kSqQj8TsdvXN+KvGWleE9Luru8vbZHiX5YJJVVmb+FOv96vHfG3iaXxBDqCX9i2sW9su ZtPVttrB8udrv/y1faa86uNK8PWGs/2qreC0iZYrVrGGCK4+y/O/z7P73zpXP7ddEeTLMoXagmz0 A/G3XNYt9QuINZ02wks3lijs7Oze8811XPzP/wDEVgeIPixret3OjpqF1ePYX9r56WWn2/2KKf50 2/OzNK33tv8ADv8A7lZOiTa1/ZOurpVzc2y/bLjynhitbWL+D7u7ftrjIbPULuX4eQNfT+VcWaqv m3yPFF8iOn3U3Ls2fcrHnlK6bOD6xVm5KU9P+B5I7Kz1S81KzsIdP8OaPptjcXX2WL7Xp0sqJ99P mb5Pm3ptrckufiubi70/T/FtjYGxVDvSDzV8tk4RVlRv++nesHUvD3iHRLXT4v7aa/8AN1bzVt7e 8RNrM7v/ABRf7ddQ9hZ2bXc9z/wldncXC/M+6W43bfuf6rfWfO4/CziWInRd6Ut/8zO0eG+8Tf2V L4k8ReLrl77YiJ5/2S0aXZv+7E3+w1d54ZM2jTazZWl/epBDeAKs15JK3MEJ+88hY9e9cR4Yh8NX 3hnSLi58U3MLW6I6rLqPleVLs2/db7v8VdJ4NFrcNrbafrX9oQLfbfPN6kuW8iHPzd61pzlKbuzu wdWrVxDUpPZ97bn0HRRRXcfThRRRQAUUUUAFcD8Yr7Rrf4d63Zaxqg0qLULWW2jP3pZGZPuxJ1dv 9la76vKvjZp0Nr/wj3iUBIp9P1GOKe6b7qWsm5H3e3zLUybSujKrJwhKSV7Ip+H5rmbQdPkvrZbO 7aBPNt1/5ZNt+5WHqUNx4u1CFbS5aystOlZmuPK3ebcL8vyr/dT5/wDge3+7XT/bIPKWXz49jfdf d8lcP4Nm1nVNGZYIoLC3lnnZr7z/ADX/ANa/3E2f+h14y6s/Nqf2p6L/AIJ0vhO+udQ0nfcyedNF PLEz7du7a7LWzXn3ibwTp+j6PNc20l9Dcears6Xkq7mZ/m+Tftqw/ha2/wCEuisvtOofZvsDTbft kv3t6J/fpOK3uOUISvJS09P+CdleWsV/azW08azW8qtFKjfxK1cP4d8E6bHcXFvePqE2q2v7p7sa ndK9xF/A/wDrf++v4d++siHRUfwnb3P2zUPtcuptb7/tkv3Ptbp/f/uLW14g8G2umtb6pbS6gPs7 7LnbdSs727ff/wC+Pv8A/AWq1ppc1jH2d4KX6ar5m7b+CtKtrq3n2Xc0tu3mxfaL+eVFb+9sZ9tU ptNXXfFOpQXNzeJb28EWyK3uniT5t+77tWIfCFjNEksV/qDxMu5WW8b5qw7bwrbf8JHrq/bNQ/dQ RPu+1N/cepXqRBrX3unb0MvS9F+y6N4aa21DUoftV81u228b/VbJf4G+X+BKsXng211ifxEs9zcv e6c2y11Hcn2hFe3Tem/+JP8AYeoPA9j4c17SNPtmvb5NQtf3v2e4nlidX/vor/7330q1D4TtnvPG C/a9Q+XZtb7U3/PulXfXU65S5ZtOVmvLzE8M6vdw+HbDTfF2n2z2F1AkUV8nz28v9xJUb7rf+O1z Xhv+0fhfbPrttbed4L1CRruWxhXc9gjv8jr/ALHleVurevPCdtdeBtKs/tV88uorb2+x53ZNrff+ X/c3Uy5S++Eck37ifV/CE/8Ay7r88tq/935v4KrTVLqWnFtqP2m9Oj9Ozuel6bqVtrFjb31jPHc2 k674pom+RlrH+IX/ACIPiX/sGXX/AKKavOtNg1fwLC/iLQYF1Lwvft9on0ax+Z7Vf78X/sy12niT XrHxN8LfEF9p9ws1vLplx8yfw/unrPls0zidH2c4yi7q6/4Zk/iSzXWvEWl6TdNL9gls7q4lhhld PNZHgVN23+H96/y1L8SLdbrwPrUTIr77fbteuZ8QaFHpfjLR2Ua3qnm2F58lvdfOn723/vOvy/8A 2NZ/jNf+KXvdujeJkdU+/NPFsX5/4v3tUlrGxrCnzOm0/wCr+prTfD7VkixaT2NhMu3ZLDPdfL/5 Fql8M9H1bwx8a5pI3VptRnb+0ltN6xSxvFuR9jf3XV/m/wBurD6xqC30Ni6eKPtUsTSqnlWvzKmx X/j/ANtP++6xtF8QazoHi6LW4bbUL+4m11NN+z3arv8As/2dN/8Aqty/fZ61pSfOj0sDKcK65nuf Wlc14015vDugy3MKLLeuRBaRN/y0lb7uefuj7zf7KtVXx54mbSbWDT7KRV1a++SH/pmn8Uv/AAGv L/EGkro9lFcwS3BKNtlvrieW4a1Tb80qqz111Kqhp1PexmPhhpKmtZM4i3s1/tnXNKfRLTWmvLz7 O93cT+U7yrb+azfc/wB6pdB1TxjDpei2ksiv9qZreJ/PRHVokffv/df7NUfBGi6f4V8X61JBZatq j2M+LV7ffKj7ok3yszPt3/NT7rWItQ16ysZ/D+pXenwardS7dqb/AJrd32+Vv3fx7v8A0GuN3fmf OT96TSV+t36epozfDvUryw1WC5s4Zpb93fzn1WX5dyf3Nm1q3Ln4Xwara2UGp6k95FaxKi2728Hl fc/uMlNmfwNDZyy+VZpKq/8AHpM3lXG7+5tb5t1Z/wDwj1tN4i8PtfeHLG00+481FX7V5rs3lbk3 I6L/AHHqOZ9zl9pNvdq3l5ebLXgHwL4ds7fWYjpWn3LrqEqebNaxb9vyf7NZUPhjw/D8K9KvJdNs PNs1tbiVngTftSVN+7/gG6tvwn4S8Ov/AG35+mae+3U7hE3xJ935K5ex03w7rHh3W9I0rQtN1S68 +8t1u0iiWKJWd9n73/Z3L9z+5TvruXGTlJvme6/L1Oy8R6Homk/2Pc2mn6faSpqFv++hgRGVd/8A eq7qXjixmkuLLS3j1K+27G2SqkMX+/L/AOypuf8A2a89/wCEP0PWvD/hfVdQg0t/ts9m/wBntLOK 3Ta3z/P/ABNXp39g+Go1/wCQfpKJ/wBcIqzdlozCahG3M3L+vU4zwho9jrWloviC5tJprB2svs8T qqNt/jZvvNuo0u6s/BF1qmn2QS6t3uvPVotoVd0afLx6V2X9j+Gn/wCXLSf+/UVchqkkOmaxfQ6W 8Vpal0byrZVVAxiTOAK2oybloepl9bmruzaVtj6eooor1D7IKKKKACiiigArjviZ4pHhPwnc3KWS 6pdzulpa2DfduJZW2Kp/2f4m/wBlWrsa5/xZ4T0zxppL6fqkBli++jodrxN/eRv4Wo9CZXs+Xc8g 8P8Aw50vSrFIrm2jvrhmaWV3T91ub+4n3VX/AGamWMeEb5ljtfL0O5K/6nbstZd38S/3W+X7v3az P+FY+KNBVrQ6D/b6xt8uoR609u8i/wAOUb+KqV4ul2cLx6rpvii0bZ+/WVbp0X/ga/LXlunNPXU+ Hq4PFKTdROSfbX8nodR48df+EXuG/g3xf+hpVHVNIg1rx2izNKvlaZuXyZWT70v+z/uVhWvhfTb/ AFiKxGpaleaLqNj9qgh+3yqi7HT5E+f7vzf+O1vf8Ky0j7V9p8/VftGzyvO/tK437f8AvusdI9Tg 9ymuVyfXp3+ZR1rwfY6Db2D2bXKIuoxOIWnd03NLvf5a7z767Wrznxl4NtdN0u0aC+1VHa+tV+fU JW/5a/7b1fh8Mo3ii7tG1LVvs8Vqkqp/ac/3mdv9uk1dasmUVUim5d/63Nbw/wD8Se8uNGkPyLun s/8Arl/c/wCAf+g7Kx77RItW8ReIpZZ7mLyreJFW3nZP4HrJsPBs+seD7LUo9V1SbWokaWKZ9Rl+ f5/uf7Kvs21u6b4Q03VrT7bb6hqyLeRr5n+ny7/91t1Pa+pb5YNtS122L3h/SrTVfBujwXcC3KfZ Ytu/+H5KzNS8P6h4Ysdau9JmW/W4iZ5bPUZW/gi2fLL/ALq/xVFqXhg6PeeHLO01fVIbWe6a0aL7 Y/3Ft5W/9CiSrfiTwzBZ+H9Tnl1nVERbWV233jbPuUr67kppSVpaPpbzGeF0/tLUNPX79vpOnRJ/ 23lT/wBCREX/AL+12MiLMrqyq6N8jK38VcJ4G8FT23hXT2l1nUobieJbifyZU2bm/wCAVR1CPUIN H8WXcWvalv064ZLX96n8EMT/ADfJ/fZ6bjdjqU4zm0pbf5/5j9a+1/Cm4fVbGCS/8Lt815aQrvlt f9tf9msTx5Z21v4Xv/EHhO9ge11a1Zbqx3/JdLKmzzUX/nqn3q7iGxl0vxRY239oXl5b3VrL5sN3 L5qfLs/+LrH8O+H9L8IeNtQ09LS3ht7iL+0rObyv9V/BKm7d/nfVp21e5tCol7/Va+q8x7eM7HUv E3h/UrGC8v4ZNOv4mit4t8sT+ba/I6/w0/x54na58IarF/Y2rQ74tu5oNm3/AMfrnPFyabD4xt9V 0ee5+2XUb2rPpe9kaf5X2Pt/vpE33P8Ankn3qfqtzFrWg3sEEfip9QiVd1pN5vy/7/8AeWnyrRlx pxvCSW3+dzd0OGf/AISpL6K01t4rfTrqJv7V/jZnidET/vh60Ph3fWS+JPCFm0qzXcr3ksqsv3Z9 ju+7/a+erWm/EDTdSVGEd5bRO2zzriBkTd/dZv4a4/4hM3h3xhB4mspVhuNJt1unT+Bm37P3v++n /oFEG1NNl4SfLiYuorWLHi74iaf/AMLIn1Qpd39xBPPYR2drA0svlRfuvl/3pd//AH2lN174rS3O h38X/CEeLYt1rKm+bTk2L8n8X72sKzvINStdKnX7c+oaNpUTtLaRb0iuGRGd23bVb+Pd/wADrqPB /hmLWPAdlc+JWu3u5bX/AEzzryXY/wDff7/8f3qqpZy5maYqVOVR1akb69/mU/gfr8GvQ67PHFPb N58X+j3C7JU/dIv3av6x/ofxc0SL+C8Vrhf95be4R/8A2lXGeGNH0NNS8S3l9c/2Uz/8edu908X7 pk+R2+esWz16x1Xxp4Utp/DlzNexLLE00N8kqTs0X8D70X+CjlvJtCdFSqzlHa36ep9DyW9sjPO0 Ua/xtKy1zmsalZ+JE+zWOl/26Eb/AFz/ACW8Tf8AXX+L/gG6uSufhxbR6Lr+panBcpLNveCymvGl ht1/4D8tbcmj+E9NW3s4tI+2XXlL/o9qju6rs/j/ALtZcqWqZwRpwjrGTb/rzOHtvDculf27qdzo NpqtvZ30vyfbnt0/g/g2Nv8Avfx12Ft4Yntk2QeEPC8K/f2pqsv/AMi0eDbxUsdX0+z8P3c1u2o3 CeTMixIv+w26tnwF4IguPHU0Or6bpf2drHzYre3D7Vbf9z5vv7f73y/7i1tG85ctz0KUXiavsW7P 59uyaPKIdNvprOw0uTw5otolvqaRf2r5/wBoR3837nlbEau4vvh9FJa/ZILnR3iaVd0txZr9oVf4 /mV9u7/gFe6f8K48L7mb+wrHc3zH91Uv/CvfDX/QEsv+/QrpdF9Ge3LLZytapb5f8E8Mf4R+GN8U sUkaXS/J5zrE/wAv9zZs21mLp9h4UvL2x023hkt/MWTc2xjuMSZ5/Cvob/hXvhr/AKAll/36FWbX wjoljGY4tLs4kLbtohXvTjSlF35jbD4GpRnzSq3/AK9TaooorpPYCiiigAooooAKKKKACvIPiZ8D l8YaxJrWm+JdS0G+dNtzCkjta3ScfI6KyN/D/Cwr1+vL/iH8TLeDR9V0vw5NJfeIPKaJPsUXmrau fl3u33fl+Y7f9mk9NWROUYxbm7I8T1XXL7VPDcNrY6zo/mwMv2OKxsbyK4k2fIiRNv8Al+79/dXQ 21xbTSxWnkeKkvvI82W3+2XD7f8AgbP/AHq0v+Es0/wv4bMdrY32+zg+VHsZVTd/tNspmm3er6fr D6lqtk1+l5bIsU2lruSBf7m1v97dury5ST2VkfC1qsamkKfKlfrv+Zzviy3g+z6f5lt4q/4/ov8A Wzyui/P/AL/3q00TS/7Ul2xeLPt3lJv/AHsu/b/B/HWl4m8TLeLpsH9n6hbbtRt/muINqffrYs/n 8bal/s2dv/6G9Z82hzupJRXMuj6+ZwXgyaB/D9isTeK0ZVbd5O90+/8A7VO0q2ax8WJp8t94jsNN 1Hc9rNcN5X+kfeeL7n8a72/4BWx4j0HV/D9rptt4f8QX1t9ovPs628y27xKrI7ffaJ2/grNj8K+I PFLaxpus+I7rdZtFLaosVq6rL99H3fZ1/iq7q177m3MpXlzKz+/8jX8QeFWj1bwwv9s6s+7UXXe1 193/AES4+78lU/H3hlptNTTf7a1Sb7VFLLLDNOj/ALqJN7/wf3ti/wDA60dL8PXviC10+8ufFGsJ e2Uu/Z5Vn+6n2PE//Lv/AHXf/vusqTw/qGojX9UbxPqrpBBLZQborX5lTd5v/Lv/ABv/AHf7v+7U p677GcZSUk3Naf5+hvaF4TZ9D09v7c1hN0CfKt0n9z/crJ0nwOmqr4ktJdb1ZImv2il2zr+9Xyov vbkrW0Hw3qEmjWDL4s1ZP3CfKsVl8vyf9e9UvDPhvUHutf2+KNWh26iyNtisvn/dRfP/AMe9K++p mpS9601/T9A1Dwzcr4u0qP8A4SPVtz29x8++33L9z/plWd4o8N/2f4s8IXl9qWoapaS3ktlKl06b f3sTsn3EXcu9ErstN8My2uppfXOsahqk0UTRRfbEt0Vd3/XKJKxfi9byL4JnvLVd93p91a30C/7c Vwjf/FUKV2gp1XKpGKflt3v8zY8Wafv0CX7JEqXFmy3UG1fuunzf/Y/8Cqa5tV1aC31XTWVb3yt8 Ev8Az1Vv4W/2aqTeG9R1hdmq6vJ9n/599M32v/j+/dXM/wDCaN4Xa48Nafp91quoWI+Vk/1MUX3k 82X+H/0KpUbqyM4Rc1aDu1+XzH+Jpl1LzbODT20jW7iBt0138tu8X8e90+9/6FXluoa3d+Prq30H SLSbVfsTJdan50uz+0ZV+5vdf+WS/wDxFaXiPwR4j8YyRal4w1yWHQZPkS3tH8q3gZvk3uv/ADy+ 5/33XbeG4dObS4bPwjpC2eoWLbGuF+SJf95/vSq9bq0V3PUjy0Y3XvP8F83r8um5a8M+A9L/AOEf 8y/1C7nuGi8q8eK8ltE/i3o6I6/xO/3/AO9XOw6DF4w8Avp+mf2zeXEsDW/2ubUbhLf5X2I+xpdr fd+4lE2mjWvGGoW2ty6hNrXlRPFp9i3kW/8AH87fwsv+09dl4e+Gsej6TBaTavq0sibt23UZUVdz 7ti7WqG+XVs55T9n70p63T8jivhz8O9K8Tf2vPrks2qO8qslvNdSr5C/3GTfu+Rvl+f+5Vv4j+Ct M06/8PzwRT+VbvLKyPdSv8qbG/if+7v/AO+qt+FtJTwz8QPEDW1nql+kWyJdk7Sovm7Hd33v96rv izQ9S8Sato8GoXP2O3uIrrbaWi7ZV/dfceX/AOI20+b3r30KdSXt+Zy9236dh/jLwxo0mm3GmWdv NNqtxF+4hhnlfb/tv8/3f9+qjyal4XvrHw9Z6u02r3UX2hUi075GX+N3ld3rd0d7bw98Ovt2m2lv bSraq7bE+8/3fn/vVq6X4bVbyLVb26nv9SRNizM7pEqt/di3baz5rbnL7TkTjLVa79/8jP8AhrDe Lod9/aE63OoNqF1580S7UZll2fL/AN8V2PhHn4i4b+HTG2/9/UrgfDfhPS9UTVbm5tWeVtTvNzrK 6f8ALV/7rV1vw78PafovxCm+x2/k79MZt292/wCWqf3q2o29qd+X8rxylfv08j1+iiivUPuAoooo AKKKKACiiigAooooAKKKKACvDryEfDi6vbS/je10Zrh7i0v1idolRnLbHZfusv8AtV7jUbRrIrK3 zK1Z1KaqKzOPFYWGLp+zmeTyJa61pzqsi3NpdRbd8LfKyt/tV5/qVnPpfiRtMXWvEn2KKxilX7Cq S7dzyr837pv7ld6Pgrf6VZ/8SbxPdJLDJ/o1tcIv2VYt2djov3j/ALVec+J7XxXpnxJXQLN57/XJ 7aBzcWKLBFLa/vdu7dv27H3/ADf7dcPsJRPmf7LxFFu1mjVvPD9peeHYdVuPFOtS6bGi6hFKxi/u 7lf/AFW7/gNc7qnjDw34fnXULjxdrSPdIqtN5cC/L/wOL/0CtjS/2c/EV9Cseqy6bbfZYkitZ7hv 7QeJF/hQMiqv+/8Aer1T4a/CPS/Bfh9La50/T7vVX81brUFg/ezqzt952+b7retbRoP7TO2jlc5f xJWXyPHNHuG17Q9HvNQ1XxU92qJdL5OnJsV9n31/0f8A2qt6DYXN9q3iKeDXtbh8pYv+PiCKJ2+T +60VdnN4J8W+B7dIdJgh8UaPCvlwWhlW3u4k/hXe3yP/AOO1z0SnxEur3kM9/wCH79U8i+0+dU3K yp8n/jtc9SMoaNaHl4jD1cO3zRsn10a38kclqWpXfhPw/F4hbxHcvFeWu68WGK33+fs+R9qp/vL/ AN8VoeEpovEnw/vZ9K8S6lNaWsUtuyPbRJ83lb/7n+3XmsNhpGtw6ZpGpzrpVl9l3yzQ6d5ssrbP kT/j3T/bb+L7ldj8L9W0Hwt4F1nw6k7R30L3G79xL/pG9P3Uv3P41Xb/AMAanKNl5mlWlandL3rr p0PQfD2g6v8A2Dp//FRz/wCoT/l1i/uVY8Dwy27eIIp52uZV1N90zrt3fuoqr6L480OHRbKKS8ZH WBFZfIl/uf7lZ/hXx5occ2uu19seXU5W2+U/9xE/uf7NYau+h5Uo1JKV4/h5noNcF4yvJ/Fl4/hT SZ1hmVllv77ZuS1RfnRP99nVPl/u0eLPitpOj6FdzWl5HJfsnlWccysitK3yp8zf7VHgHUvDuhaZ FYrrdtNqUrNNdNcN5U08rfffY/zVKTiuawqdOdOPtJRd+n+foXP+EV8Q7WafxreIi/N+5s7df/Q0 euG+H/gq28X694g8Q31zd6npVwy29m0reV9oZfv3H7rZ/d2rW38R/GUWpXX/AAiOlXsdrcXEHm6j fbvktbX/AOKf7q103w70OXw/4chsd3+gp/x5xP8Afii/22/vVpdxjfudCnOlRcm7OW2ltClrXw+h ul82XWb5rWJf+PfUH+0W6/7yt8zf991h2fhq+s/C9lrra5qEN3b2W+WLdEieV97Z9zd/u7t1bHxE 1qD/AEfRF/tCSaZ4pbn+z7GW4eK33N8zbEb7+xlqnqWlNrC+H9viDUJtIvm379qJu+TfF/BSi3ZX CnKfIuZ6Py/r+kU/DOmyal4m1XUrb+0INVggs3X+1vvbG83fF8v8P/s1eiaXqsWqWvmorI6u0UsT /eidfvJWEng9be6uJ/8AhINUS4uNvmt5sS7tv3P4Kydb8PPojf2rB4j1Dyt3+nJ58StKv+z8n3qT tLQxly1Wkn2/I0PCcy/8Jl4widvn8+3fZu/h8qk8aap/Zfifwsy2015LNLdRRw2+3ezeVu/i/wBx q840fw/rPiTxprt94c17/iWbViS+afe7MyI+/wD2v4K6Dxh4Tkh8X+Ao01rVHlkurhGm89N//Hu/ zr8lU4pS36fobulGNXWXT/20NFm8KWsV9ba9qv8AY90t5Lu06+1x4F2796fuvN212f8Awsvwcm1f +Eq0X/wYxf8AxdVvCth/wj/iXWtPa8ubz7RFb3qTXT73f78T/wDfPlJ/33XOXEP/AAjPinULuDU9 D+1tLKypqN+yPAkuxnXyv+AUtJMzkoVpNO/da/8AAZZ8J+E9G8VRahqou7u5huNQunR7HUZUiZfN b5k8p67n4b+H7PQfH1xHaJcbG0xt32i6lnP+tT++7V5B8NdListDu4549c1QNqN15b6a8sVv/rXX 5GV0/iSvVvhPYrB40vZEsNR04rp+xodSvPtDt+9++v76WuindVbXPXwaksalzXX/AAD2miiivRPr wooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvnf4neEdP8WfES+vPLlsW06D/TF811+3 /uvk+X7u1f73+zRRXPXk4wujzcxnKnhpSj5fmUPhr4dnvNN0rXr2eTLKtxBabFVE/wBH8pH/AO+N 3/fdavjWFtB1Ky8U20eXtV+z36L/AMtbVv8A4hvn/wC+qKK82952Z8Q5OVdp7Xt8jr4ZlmiWSNt6 Mu9XrnvBv/Ma/wCwrcUUVEdmcsfgl8jhPiRpd58QvH2k6JY+S9voflaldQ3DOkU7b/ki3Kjf3K6z WvFy6fpN7NrfhvUIbSCJ5Z38uK4h+Vf9l923/gNFFb2+FHo6SlTpNaW/Pc5T4F+DbG68Fy6vqem2 c02tXL3vkvAjrEjfdSu9/wCEH0tP+PZZ7D/YtJ2RP++aKKzqN87OfFVZqtOz6v8ADQz/AA5pcWle Ptdjied0bTLBt8srO/8Arr2se4tPEGhaN4dsJbTT3+xT29vAy3j/ADMqf9cqKKE9bMcZv2iT6pf+ kj/B6aZ481bXdQ1PRLZ5vPSJIr6BJXiVN8X8Sf3keur/AOEF8O/9C/pX/gFF/wDE0UUp6SsiK8pQ qOMW0l5nDeA7yHwnrfi+0/s+5CNqfmxJp9nLLEq7E/upTfGvimW48ZeB5LTS9UkeC8uHZHsWTcn2 d0fZu/36KK0Su7v+tD0FGMqnM10/9tJ/E2sJeeKNCuW03X7QMtxaN9mi2O25FlT+P/pk3/fVaul3 UWj2v2e38Ka1Mru0rSzLbu7u38TM0tFFKWkTCSSjGNvz/wAyp4J8Q3Vrp16lv4X1aaL+0LxlSH7K iL/pD/L88y13Pw21K4v/ABzem40u80pv7OXat28LFv3v/TOV6KK3pfxDuy+SeNSUV17/AOZ65RRR Xon2oUUUUAf/2Q==