20211214 18193400 1.0 FALSE Ky_tornado_impacted 002 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/2.8.0'><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> 20211214 18193400 20211214 18193400 Esri ArcGIS 12.8.0.29751 Ky_tornado_impacted 2021 tornados Counties impacted from the December 2021 tornado File Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE FALSE Ky_tornado_impacted 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. NAME County Name String 32 0 0 STATE_NAME State Name String 35 0 0 STATE_FIPS STATE_FIPS String 2 0 0 CNTY_FIPS CNTY_FIPS String 3 0 0 FIPS FIPS String 5 0 0 POPULATION Population (2020) Integer 4 0 0 POP_SQMI 2020 Pop. per Sq. Mi. Double 8 0 0 POP2010 POP2010 Integer 4 0 0 POP10_SQMI POP2010 _SQMI Double 8 0 0 WHITE WHITE Integer 4 0 0 BLACK BLACK Integer 4 0 0 AMERI_ES AMERI_ES Integer 4 0 0 ASIAN ASIAN Integer 4 0 0 HAWN_PI HAWN_PI Integer 4 0 0 HISPANIC HISPANIC Integer 4 0 0 OTHER OTHER Integer 4 0 0 MULT_RACE MULT_RACE Integer 4 0 0 MALES MALES Integer 4 0 0 FEMALES FEMALES Integer 4 0 0 AGE_UNDER5 AGE_UNDER5 Integer 4 0 0 AGE_5_9 AGE_5_9 Integer 4 0 0 AGE_10_14 AGE_10_14 Integer 4 0 0 AGE_15_19 AGE_15_19 Integer 4 0 0 AGE_20_24 AGE_20_24 Integer 4 0 0 AGE_25_34 AGE_25_34 Integer 4 0 0 AGE_35_44 AGE_35_44 Integer 4 0 0 AGE_45_54 AGE_45_54 Integer 4 0 0 AGE_55_64 AGE_55_64 Integer 4 0 0 AGE_65_74 AGE_65_74 Integer 4 0 0 AGE_75_84 AGE_75_84 Integer 4 0 0 AGE_85_UP AGE_85_UP Integer 4 0 0 MED_AGE MED_AGE Double 8 0 0 MED_AGE_M MED_AGE_M Double 8 0 0 MED_AGE_F MED_AGE_F Double 8 0 0 HOUSEHOLDS HOUSEHOLDS Integer 4 0 0 AVE_HH_SZ AVE_HH_SZ Double 8 0 0 HSEHLD_1_M HSEHLD_1_M Integer 4 0 0 HSEHLD_1_F HSEHLD_1_F Integer 4 0 0 MARHH_CHD MARHH_CHD Integer 4 0 0 MARHH_NO_C MARHH_NO_C Integer 4 0 0 MHH_CHILD MHH_CHILD Integer 4 0 0 FHH_CHILD FHH_CHILD Integer 4 0 0 FAMILIES FAMILIES Integer 4 0 0 AVE_FAM_SZ AVE_FAM_SZ Double 8 0 0 HSE_UNITS HSE_UNITS Integer 4 0 0 VACANT VACANT Integer 4 0 0 OWNER_OCC OWNER_OCC Integer 4 0 0 RENTER_OCC RENTER_OCC Integer 4 0 0 NO_FARMS12 NO_FARMS12 Double 8 0 0 AVE_SIZE12 AVE_SIZE12 Double 8 0 0 CROP_ACR12 CROP_ACR12 Double 8 0 0 AVE_SALE12 AVE_SALE12 Double 8 0 0 SQMI SQMI Double 8 0 0 NO_FARMS17 NO_FARMS17 Double 8 0 0 AVE_SIZE17 AVE_SIZE17 Double 8 0 0 CROP_ACR17 CROP_ACR17 Double 8 0 0 AVE_SALE17 AVE_SALE17 Double 8 0 0 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. 20211214 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3Ab7f IOXj6nn7tSg7cHqp70x0YZ7g9aQIyAGI5HdDUbgTgg8imjiXHYio/N3Dj5T3U9adCxZnzTvrYRLR SUuaBhSUtJQBTe+QXBjWKVyhwSqEjpmrFvOtxHvTIGcYIwQaq2nN1dc8ebx/3yKSCSa28xGtJnzI xDLtwQT7mmBoVT1X/kGXH+4aX7ZL/wA+Nx/47/8AFVVuLuS9t5reKznDfcJbbgH35pAWW0uyeIgW kAJGM+WOKhWW4sCkcy+bDtOGjUkjHrV5pUjwrOoY9ATgmnBR16mmBnajcRPpTzlkaHqT14rCtde0 i41BrZ7SNYi21HMPU5AA6VsaxptvLp8wCYMnXBx1qpp+gf2fJ50NtCzkf8tJicc5/u1Sas7iNj+z bE4/0OD/AL9iqhNhZaogQ28BKncBhfzqyJNS/wCeFr/39b/4mktbdleaSZEaSR92F5A4A6n6VIyT +0bLn/S4OP8ApoKrand28mnSqk8bMduAGBzyKveUD/Cg/wCA5qtPBF9xEzIcdB0oAtjl/pTto9Ka IwO5NLsX0oARtsY7ZpBLuPCk07aq84AqEsd2Qahuwib5z6CmblLYJJpd+R3FIm3PT86d+wEhUEY9 qh8kIwYcgetSswXFM85ScYP40XQ7jyM8jrSg9jwaahyD9aeQCMGmAUHgU3le2RSM3H3WFAArg9RT x3qELx94daUSFfvYx60k+4CIf38n4VL2qGNg08mCO1OkYoVYnA70wJPeo2hDnceM1UvdXsrKSOGW U+ZJyFRCxxnrwKWPV7KSNZBcwKrDI3uFP5GgC6SccUi49MHvVKG+ImaC42xSgjAJ+9n0q6i4O4nJ pARXS5iLgfMvORToPvMc8EZqO8uII0ZJZ442YcbmApLeaKSJbhGBjK9j0piZapaoLqsJG8xyiI9J Nhx+dMgv57ze1sIGRWI5bmgZpUVT3ah/zyg/M0he/A5jg/M0AJZYNzd46CX/ANlFXWYKMsQB6msK eTUrFZTHDG8s+XULk4IUf4VROj63rEC/br2NYHO5ovLww/SnYDWv9VSO4S1il2y/eY7cgLg1i2Gp Xl9fXVtazGNXBZJnTvtHatM6f9murJXZJAp25KDdgDpmtOO2t4pAYbaNCO6oBTVgMc6Le3Agnu74 vNByGCAZ71pW63ktukhuEGR/c/8Ar1bmLeTJgY+U1VsJomtYl81S2PuhuetJsBJra5lAR7hWTIJA Tn+dXfm9APrSou1emKWkAm31OaWiigAqBfnuyydFG1j61YqvMPKkWYdOjYPWmgLFIGB+tKKbj5jS AUjcOagYBSRViopAobkdamSExFYEBSKHABznrTAN3epQMpleW9TSWqArFj3JpQoYjJNDJIXwRT44 zu5OcVCTuSTRjAIHrT6a3y/MPxpScDNbFik4GaTqM005YZ7UiNkHPApX1AeQOpGaiJBONop5cYpj NlTkdeM0NgV0lSOaXnnPQc1FeXYijMjBn/uqgyWPoBU9uPlxgHnr61HLYR3OQ67Vzng4IPqKNwRk R29ze3yajYkRMEMMsVxGcjkHseDxXOan8OLrUpopP7QRCkew/IefmJ9feu6t7MW8bC3d1JJLFmLZ P41NHP8AIM8HuDRcDm5/EMVxaRXN3aSw28oLxOSNxAUt2zzgVPa3Nlf3dsIbiWVHVwUkyCGG0+nv UCeGnS2jtZ2up4oQyxDzFwoKFP7uejHqTVKwkGmeJnEwcfuBGAxBPGeTgDk4A/AU7AdV9ngtlctG CCOS5yAKy9Q1PSoCHYs5c/MkLjB+oqlLJcanO00JlSCYiFlkBwuQBxViDwpaRQgTgyvk/OBinotw JrTVv7YjkhgxFCMDGOdtNu1Fu6rbSHzTwiL95fx9KuwWsNjamO2iChQcADk1ihLp5hPbGVpxjbhQ U5+8G4zx0pXu9AKsfizU7a+S2dY7h2kxtYgfwk8EE5/StWPxI6wXjyCIzx3XkxRM23aNqn5j6cnm rcejKrLkRqyncNsS5BqVtIR5GZjCXf7xaEZP1puwGK/igXabmiEM0LfKRJnPzFTj1HFWtC8TPqM3 kXKxxFYg+d5LMfoBgD8a0G0NJCm/ySEwBiIA464q/FY2luxkjtokbGCQozikBUurq3+0WzK44c54 PFPjnuriSX7P5Xlo2AzZ+bgGrixRnkxrz7VIqqgwqgD2FMCkf7QHGYCfTmmR2Mv2mOaQxLsJOEHW r69z707tSASiiloAKSlFFABUVwu6I47c81LVcA3EjAlhEMdO5poCdW3orDoRml60mMDA6ClpAAqC XhqnqKVSeamS0ExiD5uamVhjAHFRhwFxilRlAxmlGyAQqzPyKkVQowOtOBB6Ue9UkMa/KGnds1GW IbFND8bcd6LgTEgr14qs8kaKQHBqVk/csueoqBMGJcqvI7UPbUB28KmdwxTGmLAYiZl9RSeQF5Vd 3fB6VKuG5J6dqkRBbp+8ZtpTJ6GrZ4zz1GaRlwMj9KRWAwD1IxTASLg+1Rz2xkk3bRU6KcnipM0R WgECOV69Khks7Oe6Fy8EbzAY3MM4FQyX0ePlST/vk0wahGq/6uX/AL5pJtBcdqamSOFEkKyGVcHH TBposJXXNzdyuT/DGxUD8qaJvtN5CVRwsYJJYY61e6DFDkwuZVxbTWamW1Z5BwCjuWP4ZrR0y1aG 3LyjEsjF2Hp6fpinPgGNvRsn6VbDBl3Kcg1UdhhgEg0jEDjGc9qWkQAgHvVAN2E8j5fpRhh97JHt UlFFwsN3j0b8qN6+oH1p1JikA1Oh+pp1NAIbAOARnpS4b1H5UAOpKb83tS5b0H50AOFHemgsOw/O oJZH81YwSme/rQAs0jF1jjb5ifmx2FSxxiJNoyR7nNNhURqRu3EnOSKk3D1FMBaYXwcYp24etRSM Cwx1qWBKOaUgHrTQ4x/9akZyR8oOaYDGjA6HmmUhYknIOaTJGelZMkehI9amXd/FwKqxSCQFkYEA 44qz8zL0H51cRobgLkk/hms3V79rGC2kVlRXuo43J/usRmrV0xAZFPzkfKO1ZEcEl0xjuo3eLaGY SgYL57c9OlNDKd94taOTaI1MDTmEbW+bjqT/ALOAeaik8VtHczrbxK8ULFOORgAHdxyevauhgsLU PxaocrsPHb0qb+zdO2bPskYXOcbae4HNP4uln8iCGIJJ5kYlK8gK5+XGfUYrP0/xdeR+XHLGbiWR Efhfbnp3ruvsdp18mPPHb06VRv7S0httwtYiFZQueADnAOfxpMTIrrXVt7qG2MLFnj81mLhdo/Gj /hINOKxv9qXY4yrHoR9aaNLtdVmN1OFEqRtAQDlR7g96qXfgy1uvs+blwsKIigL/AHePWlygXR4p 0wSRIs6srHBfPA4yPz7VHaeKrW8iaVItqbiq+ZIqlgO+Cain8G2c10twZnV02FMD7pUYBpf+EK0y SOMT75HRdu7OM8k/1qhmuGHO4E03vj1pWAHSkAJPHWuczHqpLYOcU7HekQuOCDj3p+csM1aKQwjI NCB0OYyBnqp6GrDKuw4qJF43cVSumMUTqwII2uOxqYYC8VVlRJ02kA+hPY04efGB8gKjjaDzWmj2 GWaSmpKsmQAQw6g040gFNHaiigBv8f4U7tTR99qdQAlLSUtACVViDzXTu33EOAD2NTzFhCxU4IHB qpDJi1UpJ8zN87dxTQF7GeopMLnGBUf+kAHmM+9QIjzT7mDKwXGcYwfaiwFzAHYUYGc45qLyTnPm vu9c8flQZZI/9YnA6svSgCbpTGkRTgsATUO43EpVXIQDkjvmnGCNYyoXJPUk8mgBDzxWc92GuNrq yRqxQuTwTxS3Et0ZRbwsTKcbmGBtGev5VahsBBG6Mxl8xtzFu9Z2tqIFjWMo0SHbznaetTi6iA+Y 7T7jFVlhkshutyXi6mI9R/u/4VZjeK7hEi4IJ7jkGrQylNdeZf8AlRRmSTZkAnaMfWkkhvOXMkMS jkjaWx+OalvrRpVWRMieMHYwYj/PSoE1JQdk0b+coG5ApJPuMdqVwuYx8SB2EMUxQlgpZYCDjuRk mugSxSOJWiuZkOMlt2d31zTLWxSWR57mBNzZCoQCFX/GlubaztVG4SMWO1It5IJ9AOlVddAGC+kh uY4JfKmLngpwQPUirrQx3MbxyoGRhgg1Ss7KVbtp/s0dum3aEXGT7nFagAx0xU63AitoIoIFiiQK i8ACnuox0/Kg5Qk4yDT8gjIqhIYGPTGfel3expjFmAKjgc5p4347fjQFyj0FAbnjtSUhHINcyMyw spIw3NIT3FRA/LkU4PhSMVV+5SZOJCB2pHcgHbxUSPj71PaTceafNoO4RqxNWAcdelRoQoznipBh hVxVhojkhDtvVirYxkUxZ22srAF1OD/jU44OPyquEAmkQnBfkGqewyRZCRkipN479KZHGVUhqCm8 YBIAqVewh6n5d3rzSg7hkVEVZSFHKmnoccEU7jHEgdaQNlunFRsyNnNR+ag43fQDvRfsIklcmQRr xuH3jSpbxoBhRkd6gcu4G1H3ZyCVxirYJwM9e9MYUMwVSx6AZoJAGWOAKqG/R2KwRvORwSo+X86A I01JpVEiWztH7MN35ZqxHeQTcK4BP8LcH8jWbLbSQvHeORE3mKNkf3QCec+tXL+ayitXmudhVR1z z7c9aYFp3it4yzEIgrOmmmvLtRbO6QKvMhXjd9D1rMh1HToj9oldizLuihLFsDnHU9Tg1c0zVbm9 mCy6XLBGRuEjPkdM+lJp22EG+eLVIfOVAJAULqeCMZ/Pir0OsafNOLeK6VpScBcHr+VUtTtUuruB ZJHWJiQApx83X+WR+NWE0iwOMW4DDoykg1MbAT3twEjEUbKZpDtQZ7+tT28C20Cxr0Hf1PrVddJs wMGIk/3ixz+eahZRp8sLRyO0TNtcOc4z0OfriqGaL/dqld2i7lljcRzJ91vb39quMQWUA981i6/Z 3d1cWr22THHuMiZxvH938aALEGoO1m8pCmRXMYCn7xzgUkSvbXbTXaNKzAFZFGQnqMVzX2bUlupo 7aSZhEx8tNo47Zz6/hVYeIJo7xIpJJnMRf8AjGeQMZ49QfzpqPYLHdf2jbf33/79t/hUMV9cXZkN rHCY1Yrl3IPHtiuJN/rd6qNLIyW4wGZcg9P51csYNQt455vPZIWUuG/2vem1YDqpmvoozKZoBt58 sjg/j/8AWqWxuFvrRLjYU3DlT2NUdGt1u7CO5u2M0zckMeF/CthQFG0AAegpABxt9sUD7oob7p+l U2kfd1xUylYTdhlJRmlNc5A0DBI/GlpDwc09WK9MUxITtQD82e9KWJo2mgZKB2FPTcG4/GiOMHBN ShQvStYxLQOflz6VX5luChYLsOQO5qyR8tQyAhRMv3lX8xWgybPNIn3fxNR/aIgVBbDEZApqKZ1y 2RH2X1oAnyGHUEUwLkkHtSG3j7DafUdaYyzRncr7wOzf40rALMoLRpjAJ5IqQRRo2VRQfYVBLcw+ URJlfYj+tRRXkchRTMN+Oewz9aeyAvMwVSzEADqTVI3j3BK2ab8ceYwwo/x/CqZuHvVkSa5SKDn5 VOXYD+XSseXxilnD5VrF9qKE4LNt+XGRTUW9gNSBZTe3EepT+Yq/Mq5wuPcVJe+JNM0smGSXDhcq iISO+On0qlcI2v8Ah43ZjWGcAkc9MHNVrPwuLYJK0RuGKc5k/pj3pLTcRWGvXl7Bc3L3EEdq6lRG yZ2fKOcd+a5aSUebKWuQ2G4+Rvm+YCu2i8NG3jkMUUaM64w8hftjpgVc0uz0mF5XKqlwDtkWVhwc 9qtTimwK2n2EMWk2l60aSjHzh0DYXnp9K15b3zdkWnmKTA+Yg5VR2GRT5dRtFDRrIDgdFUn+Qqjp E0QhdWYI5kY5f5d3PvWbYFk2LXDhrp84OVVCQoqNxc2NzGkMgaOXj98xOG7c+/P5VLeyD9zEZzEr nLurYwo9/rgfjUUtkjRhl1FljPO6Qhue2DUpAWn+34BMkCj2BrP2XEt8Ir2cGINuRVUAOfQ/SqN9 4le0kNvGkdzOjYJD/KeAQR+dJY6jd6pfxwTWPkBXzndnoPpTcZbgdIql5OOMCpVT+9yaVE2jrk08 9KEgsVbizWT95EfLnH3XHGfY+oqhFFpYH2p7WFJ0fa2FGd1akjc4AqNLS287z/LXzf71NPoMy5pW upVzbyfY0OHUoQW/4D3Fa1t5EkCNCq+WVBXA4xUpjVqootzZDyYYvNi/gOcbPY+1JIAv4Y4ImuYi Y5QR904DHPcd6vjPfrVSO0ZpBNdP5kg6D+FfpVvimA2Rwic96pF8nkVaMiPGS3QGqxxngcVnNksb S55xRSCsiRcUg46flTgpIzTkQlulNBYReOSOKsBA/wAw4HpSCLHJ/GpgAAMdK1jEpIAoUYFHel7U VZQUxSNu3Gexp9NT7ufXmgCA2sbtuIIGMYzRbKYmeIMWRehPY+lSzMUhdgu4gE4HesyxS9lhEyTx ojchAufz75pgakr+XC8mM7VJxVSOS9kjVwsO1hnHNV7+We3tpBNeW6bkbAbjPHasC68YmBFgso45 AEA3uSOef8KcYuWwG1qDSjyhceUsbSoGGeozWXqevwG4FjZWolbO1iF6HIHGKzjo+q6pZRz38xAk kURozk5DAc+1dHYaKNMlaW3tIldhyS5Pv3ppKO+ojLsYQrltShaG5VcKO7jn/P41PBoFs4zaWpjb P+sm7f8AAe9ad2LvfFcPFGBGTuIPO09f6VPBqNkfu3UPPbeKnmdw6jPsE0sPk3E6pH2WBNg/rVnT 5Glso2c5PIz64OKkE6eWXJDKBnIqHT0KWMQHucfjSTuMtkA8msS3uNObzWnmg3tKx+YDIGeKsaxB JPbB47qS38nLNsONwrOPhO2m+zSGWRCoHmKGPznOaaSe4En2+0tdWkiT5mlhVo9i/LxuqjZ6pq2q fvF0+3eHcAdyEHoD61sW2nWy6s7qh/cRoEGTx96tWRxGjOegGTT91dAOI12xvraWWCKRJorkjClS TEN4IHWqB0XxBJbpA4YwgjCkcDr/AI13VnbiW0Mk6hnn+Z8/oPwpG01CP3U08ZH3SJDgfh0pxnYD G0zRrfR0RpoxdXzjIVV6cD/Oa3rOBow8kqgSyNkgc4HYU+3tY7fJGWdvvO3JNT96ltvVgFNZ1HBZ c/WqYee+aRVbyYlbaSOWP+FK9jYxRNJLHGABlpH6/Uk0gJZHBbjmmqW3ccVm/aBaKjQus9rI+FKs DtyfXuK0xtbrioa11JJlcY65o+Y9Bj60qngc5pnnAbgQcirukMUkquWbFRGQMpznFRtJ5rDjFIzZ 4rNz7EtjSCSegH0qwmwINyc0wR8AkjBrH1PxBHpd2Ld4ZHO0NlcY/wA8UJMEjTMkZP3j/wB8mlEk WOp9ehp4JzginqAeO9TZDGB4yQN/b0qZXiH8Q6UoVV6gE0uzdwVAFaqKGI08Z+UOKp390glgthLs Vz87DsPTNXtkYwCq/lUVxaxXMDxMoAZSMgDIqhla6tFgtmkjklDLyPmq/GSY1J6kCsppJ3sbqJnV miYKGx1571ZA1ExgK0AGODtPH60AWpnKRMyruYDgetYceuN5MiMy79nBUHKsSBjH45/CrFy13Y25 ka6MvIGDHkk+nGOM1iCTULYGVNOXBYkSSKScn3zimkBoy30UELbL4eU4AkMqt8p7kHFVL7VbaxtE l0VzKwOGCA7fxFR22l6lqjxw3yrBaR8lAp/efrXR2Wk2NhG8dvAqo5yQeefxo0QGHqbQXcQkunaY BDjZGylTjPPHIzVvTE0iwh3RA7pFG7dGx6fh7mrMplm+1b7mOG2UlGynIH1qhdeK9MsBHDAy3Hy4 3K3ShXeiAvXuo2jrAqO2RMjY8tugPParf9qWh/5aN/37b/Csq+uL26FjNpiRGV1LgSdMEVX1bS9a 1G+UB447VWGCjlWxnn9KErga0+q2QDB5sKRjlG/wqgsBudEdYAu51dYjjHchT+WKWPRbewtZzO8l 0jbflkboRnofxqxbi4s4zFJbMUU/IUO4hfSoa7CZlaHpF5FLINQOYdpCqD3z/hWlBYwG6nibOFIK jPQH/wDVVn7bkYjtpWftuG0fnUSectzJczxCJNgBw+7OPw96HK+otSwdNsXGx4gw96X+yrMcGEY7 HNRrqMG3LB19Ny4qqdRW7kMUk5t4M4BxzJ+PammO5oDSbEEn7OuT1pf7JsT/AMuyVEY5bRS1tKHi A5SQ9PoaktLySe2SR0Csc8fjwaLjJvs0IwqoBj9KUW8IxhRgdMVzN/4okstVuLSSJQoaJYn7MzEZ U++Mn8KkPjSxSSWEROzRsikg8fNnBz/wE0XA6DyosjAal8qLszfnXN2njBGWMXls6CWZ40kUfLgM Rn8AOaq3PjCRpk+ywx+U7oBvU52sM560agdM+nRIskkcs6k5Y7Xxk4rDuoY763jgk1K6jZgd4dCR 9OcVc0XxFbaxNLFAHBQZyw4PUf0rYaPzeCAR6kUJsVzEt9Jt47IRfbZHjT7xDYH5U9o0aPZZzXkr jAB3YUfXNaEmlRO6shMYyCyr0bHrV3aqJ0xj0peoJESw7FB818gc81WkXJ+WVjUrTlkIAx/hSQg4 3kcVEpX0Qm7kGx16OfypNkgxmQZ+nWpbm5jtoyzHJwSF7msG4hu76FBC7BwRNE27Hyt2J74OaSQW EvNQku7eMwmRRG+8/JyeMrjB6E4H41qLGJkWSVFLkDOV6VJb28cK9B5jZJI9+Tj2pTMqHae1Dl2C 5bqZY+OSc/WmpH82ewNSkhVJPQc1pFWGgCgdqa77TgdaqDUty7ltLhlPRgFwf1phvJNwY2k+PoP8 aG2BdC87mNVGuZLuZobORQij55hzg+g7ZqlqeqEQrCEMJk6tKcDHfpmqMGoXOsQTWGnIlo0WP3gc 9M444qlEZtT20dtpkiJk9CSTkk56k1PcxyT6e0cUhikZBtcdqyLTT9ags5YLi4iui+MPJIRtx+Fa CvqW0DyLXC8f65v/AImgDnlh1SDzItQferttQecfmGccDNbMemXIjhjV0ihi5WPrk+9JYTxtc3Et 4yLcbsBc5AHse9XjqdoDjzT9QjY/lQ2BQvb29sbi2h2rIZifmVeFxj/GoZbnXpsPZxwtHllPIHIY jv8ASte5uI4rbzAVZiP3ffJ9qh0lj9kMbqyyox8xWHRj839aAMC+0K5lnaW8vp44ZjlxCcqp9x6V fsND0WCy6xXCp96VyD+db5APBrNvLSJ7yAbdu8kOF43AetPmewEX2q2S8hW1xLHHHjEHzBfyqw+o qCD5E+B/0yb/AAq2dkf3VAPsKGYEY7VDYGa0h1GTy1WSKAcyF1ILH0Ga0WcbgV6iowVLcDNPUBjj OKUXcm412LHmqd/kxJGDgSOFJ9B1/pV2RVU/Wql5G8kI8sAurBsHvUdQJyQgHIUdB2rI1+9gtUhj mdgxdW2gEhgCM5qjqlhquoXasUkECnKqrDjitS6jOpSQQtBIihss7AcAD6+uKtRSsxlA63Hqd3Ha WSlopMbmKkeuf5Vo6jcSQxokMqQA8GVxlUx0FS22mQ20xkXJYjGcdqtT+SqCP5Mnsad09gSMqDTb fUrNZbq1V2mMcj5H8S8g+1SJ4Z02NXxA67sZ2yEZAzx16cnj3rTWEKoO7BHaptwYKR600MzP+Ef0 5rQWxtF8kBlCZ4AbrQ+gac7hzarkbcYPTHStam55xQBSs9LtbBnMMbKG/h3EqPoO1XQwAH8qWjqa AE3j0P5VG86Z28nNTdKpvH85Yc1Mm0hMVUIOAevpTb64jtLU5lSNjwhfoTTXu4IZBGWYzFdwRRnP 9Kw2X+2tREoP+r49dqnoce44I96IqyBIijWfWbyN5WjWa27DJAz2I9eP1rejiEEXlouF54+pzRHG lvH5ca5x3qVGbbjIzUN3EyAthv6+lV5X+f5QSMdqu+RvcBl+vNWRaxgYC8UlFsSRKowMVmWtrDcw mSZmZ2Y5/eEfpWpXO7Gigtmis2mMrtvYZ459q3LNme4trC0DSMqRJhR/SubXxLe6uRDplsI3zkyO +RjBPpxWvqNvplnaGa8U+VkDHLcnpxWJHp0uraaj6fAbD5wSTkb1welVG27A0X0WXV7aD+15QJIm Y4ibgg46/lVzRbG2tbd3hiCuzuCQTyAxxS2mjQ29uI3klkbqWLkVLpQCWGOcLJIOf980mwLkjrGp ZjgDnJ7VnT39vcQNBbMZZJPlAQ4I989qk1G5tYbaRLmRVLocLnk/So9H+1PGZZpEaFgPLAxn8SKQ Bp2lrCgkuYkM/TOS3H+NaOxQpAVQD1GOtOopAVorC2hkEiR/MOmSTj6U2WzcytLBO8TsOQACD71b PHWm7vQE0AVRLex/LJAkvoyHb+hzURa4mv4XaAxoitnLdScVf+Y9TimP9cjvQwGffY5ombC4C/nU owicCmMRIQKh7CIo1bHBAzT8BCTknFPZgo2qKrnIY+9F7CegFi3LEnFSRhX6HB9Ki5UfWpYMbicV C1YluTFBt20wxsvTmn7upNKpzWlkyiFFbdwRx6iqN/YG51Kzl8vcE3byCQOnFa3FNXqT6mqSsNaH NCDWmN0HmfLSKECoBtXeM4P+7mle31jbHtmm3Rqew+Y7hjPHpmumoxTHc5gprW+9L3EgBz5YWLIH Jxg9+MU5P7XM0RBlyYDuVgMK+04JPfnHFb7qVOScr3pUAJypqbiuc15evfYUH2iTf5uWPlfMBjoB 3FdNCHEMfmHL7RuOMZNPqBp87wOMdKbdgbJJJAgyQfwqsMuSVPFIAzDHJpY3ERJY4FZN8zIvcpX1 rN5hmt5FR3Ty23Dt2I96sjbCv7uMKW+8wGCx9amCtOwkcDj7q0yV9zCJMMT1PpTd7DGRozsQPxNT 7EAGBjFLwoCryO9J35p7aAKykcgkU5VO370lSKB+PpTgatWHYrw31vLCjmaJSwzjeOKggW8hgWOJ LeRBnDeYeefpVlbS3wP3EWf9wVFpfGmxfj/M0DGyJezRlJYbYqeoLE/0oX+0EAVIbYqOmZCP6Vbk +6MGn0XAph9RzzBbf9/W/wDiapp/aNnbFRDbsN7HIkb+Jif7vvWxUUoYqQj7Se9MDDjMhuppb/Yb dY8PI4wDWrbPaQeXawyxqSu9Ywf4fWsvUGg1LSZtPjdDI/ylCeuDzzXMt4Z1dmSU3AMqRPBlZNpK ZUqM9j97n2FJ7gd/PdRW6guTk8AAZJqlLrltDu3qy7QS2SvAHXvXIy+F9VcwxG5lR5JAVZpyxVRy RxiqcfhfWZri6tQFAWIqzs+eWUnGep9M1SS6gd4NYgJTKS/OpZfl7ev61fjkWSJZFPysAwPsa4W6 8N38cx8pnFqtsV2rcEMHO3OCc/3a6nR45YtKtln2htmflJxjt19qi4F4SNkjrSx8E5phPOQaQHBq LiJpHwMDrTUGF3HrUfU8mpfuDAzk9KpasCJhhu9NPTPQ5qYgDgkknrUZjOeOlJ6aIViMfPx6VNGv H3qaIyoJNKjbTUpWeoIcFYt7UrAr3PPpTvNHFNl5wR0q9LDBHYnGKeDyR70ke0jI60xnIZsetNaL UCQSKaN6jvUAc0mec1POFyR2LcY4oRSpOMfSkBLAjpUiKRyTQtXcBsrsFBXp3qEQ5G7OcnvxUkko U5I+tNe4RlwBxQ7dQdgP7pc7garITM5kPKr/ADpkhMsiovAbk+wqWR1jjCgYUfrUXJuMeRy2xSfm 4NWIU2IQtMt42z5hGM/dFWJFVRnOKqKaVwSIzxSpjv8Ae7e1KMhSzfhTXPlpuJHtRsMc0wQbVGW9 aiMjHrimqqn5mb5j2pAssg3RKNh6ZpasWrJf7StR/wAtQR2IHWmWBI06Fjxwcg/U0UVqyydyflCj PpUoUkcn8qKKSACqgZP61Sa4in2oMKpbltwooqkBTMEKTgrPmJXLohPAY9Tn8TVpJUzjenX1oopW 1GR3F3Gl9atJKiqu/wCYtx0qU6naY/4+4uv98UUUNCIJ9RtGgkAuIySCAAwqaCeMWsILqNqKOT04 ooqeUViTzov+ei/nSiaInBkX86KKXKgsP3wf89V/Oka4jDj96vyn1ooq2rbDaHG7iK48xQfrUfnR kn5wcUUUmriFNwrcE8ZpPNiJwGFFFLlQ7Eqywr/GM02SeLHDr+dFFU0rBYjWeNTxIvvzTjLCWb96 vX1ooqUgsHmRA4Mqen3hTg8HeZP++hRRTUEFhDLAp/1yfgaje9X+F1A6daKKTVthMgadXU5dfzpn mAAqrLn1zRRUqKbFYlQxJF/rV3dOtMjeN5BvddoPc0UVXKrhYuGeILhJUz0zkUwSxd5FJz1LUUU2 tSrDzcxkY8xCPrUTyxHkyKcds0UVLQhnnRFd4dQAPWnRTqsagSD/AL6oooSCx//Z