20191028 13135600 FALSE O3_Sep06_3pm 002 Projected GCS_North_American_1983 NAD_1983_California_Teale_Albers <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/10.0'><WKT>PROJCS[&quot;NAD_1983_California_Teale_Albers&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;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,-4000000.0],PARAMETER[&quot;Central_Meridian&quot;,-120.0],PARAMETER[&quot;Standard_Parallel_1&quot;,34.0],PARAMETER[&quot;Standard_Parallel_2&quot;,40.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3310]]</WKT><XOrigin>-16909700</XOrigin><YOrigin>-8597000</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>3310</WKID></ProjectedCoordinateSystem> 1.0 20100217 13030700 20100217 13030700 ItemDescription withheld withheld Local Area Network File Geodatabase Feature Class Dataset copied. withheld 20100209 13031300 ESRI ArcGIS 10.0.0.2334 O3_Sep06_3pm 002 This dataset is used as an example of environmental data for geostatistical spatial data analysis using Geostatistical Analyst extension. <DIV STYLE="text-align:Left;font-family:Microsoft Sans Serif;font-style:normal;font-weight:normal;font-size: medium;color:#000000;"><DIV><DIV><P><SPAN>Ozone concentration in parts per million (ppm) on September 6, 2007 between 3:00PM and 4:00PM. </SPAN></P></DIV></DIV></DIV> California Environmental Protection Agency, Air Resources Board - Air Quality Data Branch. point ozone concentration California United States dataset EPSG 7.4 Simple 1 FALSE 0 TRUE FALSE 0 O3_Sep06_3pm 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. SITE_NAME SITE_NAME String 40 0 0 BASIN_NAME BASIN_NAME String 22 0 0 ELEVATION ELEVATION Single 4 0 0 OZONE OZONE Double 8 0 0 20100217 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAHqAb8DASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9UKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKAKmrRX02lXkemXFvZ6k8Lra3F3A08MUpU7HeNXQuobBKh0JAIDL nI+DP2DPhN+1D4I/aC+KWp/FbX/M8LXV6x1L7exuU1u/MaeVdadgoIYlh8pS+0LsVIPK3Rf6N9/U UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFcr8SPir4Q+D+g2+teNfEWn+GdKu L2DT4rvUZhEjzzNtRAT+LMeiIjuxVEZgAdVRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABXyX+3h+wfD+2LbeF76x8UXHhvxDokwgVrlpLixeylkX7QRb7g FnVRvV12+ZsWOQ7djw/WlFAHK/Cr4b6X8H/hx4d8FaLcahd6VoVlHY202qXbXNw6IMAu7foqhUQY VFRFVR1VFFABRRRQAUUUUAFFFVNW1OHRdKvNQuEuJILSF55EtLaS5mZVUsQkUas8jYHCIpZjgAEk CgC3RXxX+x5/wUl0v9qr4yeKfBH/AAiWoaJGvmX3h67jja48yyjCK4vigKwSljvDZ8v96It29Uaf 7UoAKKKqatq1joGlXmp6neW+nabZQvc3V5dyrFDBEilnkd2ICqqgksSAACTQBboryr9n39p34eft O6Dq2q+ANa/tKPS717O7tp4jBcRYZhFKYm+YRTKu+NiORlSFdJET1WgAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooA/Nf9sP9lH45W37T/hbxb8Bk0/QdM17WY9Rnu9Ei +x/YdWWF1lvdUJLiaJofPwwUofOuI/JMt07Xf6O6TFfQ6VZx6ncW95qSQot1cWkDQQyyhRvdI2dy ilskKXcgEAs2MnK8f+P/AA98LPBureK/FerW+h+HtKhM95f3JO2NcgAAAEszMQqooLMzKqgsQD8Q /to/t+/EP4J/GT4X6J8PvBH/AAkXhXWvI1CHUVxdReL45gEW10+SEvtx5sbBgDIZGhOwxEfaAD7+ rn/H/gDw98U/BureFPFek2+ueHtVhMF5YXIO2RcgggggqysAyupDKyqykMARq6TezalpVnd3Fhca XPPCkslhdtG01szKCY3MbuhZSdpKOy5BwxGCbdAHzr+yR+w54C/ZCttbn8Ptca54h1WaVZNe1RU+ 0x2XmFobRNoAVVUIXKgebIu8gKI0j+iqKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigD51/bj/ZIh/a9+Ea+H4NbuND8Q6VM2oaPM9xJ9hkuNhXZdQrkMrKSokCmSLc SuVMkcnV/s3/ALM/h79nP4R+FvBFrc3HiV9Cmkv49T1bMjR3sqOk0ttGxYWqlZZlEcRGFkfcXaSR 39fooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KqaTq1jr+lWep6ZeW+o6bewpc2t5aSrLDPE6hkkR1JDKykEMCQQQRQB4B+1v+3H4C/ZDttEg8QLc a54h1WaJo9B0tk+0x2XmBZrt9xAVVUOEDEebIuwEKJHj9L/4X98PP+FN/wDC1/8AhLNP/wCFe/Yv t/8Abu4+V5edu3bjf5u/935O3zPM/d7d/wAtZP7QX7MXw8/ad0HSdK8f6L/aUel3qXlpcwSmC4iw ymWISr8wimVdkig8jDAq6RunAftm/sZaX+098DrHwZot9/wiV/4d2z+HYLZ2i0uN0j8tIJraP5PK 2fIrqheHOUypeOQA+idJ1ax1/SrPU9MvLfUdNvYUubW8tJVlhnidQySI6khlZSCGBIIIIq3XlX7M X7Pul/sxfBvRfAGlatqGtx2O+ae+1CVj5s8h3StFEWKwRFiSsScDJJLuzu/qtABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAV8reBf8AgpF8IfiB+0de/CfTdU/uWul+JmkX+ztVv9zCS1hf /vgRyH5Zm3qn/LEzfVNeQeG/2TPhd4T+POtfGDTPDFvb+NtVh8uS4H+phlbf59zFH0jnmVgskg5Y KcYMsxkAPX6KKKACiiigDyD9rP4NeIfj98BvE/gjwv4uuPB2ralDtS6iwIbtRndaXDBS6wSj5XMZ DY6iRN8Unn//AATz/Zx8a/s0fAa30Dxx4kuNR1K9mN8nh8SJLaaCH5a3ikAJZmYl5MMYt5Plj78s 30/RQAUUUUAFFFFABRVSXVrGHVbfTJLy3TUrmGW5gs2lUTSxRtGskipnLKjTRBmAwDIgONwz8GfF n9vP4reCP28tA+FOmfC3UL3ws+LP+yBHGdR1tJSG/tK2l3+UkUQjfaGcJtWfz2ib/j2APv6iiigA or4r/wCCkv7YfxD/AGVdB8Jf8IR4W3x6peo9z4p1GET2EflMHNgEVtwlmVW3M+z93v8AKLOGeD6q +FXjDVPiB8OPDviPWvC2oeCtV1OyjubnQNUZWuLJ2GSjlfzG4K4BG9I33IoB1VFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABXkH7WfiT4o+E/gN4n1P4P6Lb6542hhzBDL880MXPmTW8G0i4nReUhYgMecSECGT1+ igD5W/4Ju+Ovi98QP2cdL1L4sWP91dB1m8lb+0dVsNvyT3MZX6BJi26ZcOy9JZvp6LVrGbVbjTI7 y3fUraGK5ns1lUzRRSNIscjJnKq7QyhWIwTG4Gdpxbr4B+E37BnxW8Eft5a/8VtT+KWoXvhZ83n9 rmSM6jraSkr/AGbcxbPKSKIRpuKoE2rB5CxN/wAewB9/UUUUAFfK3/BSLwL8XviB+zjqmm/Ce9/v Nr2jWcTf2jqtht+eC2kDfUvCF3TLlFbrFN9U0UAfOvwhvfjJ8E/2P49Q+I1hcfFH4l6Lpklwui6M ym+nVRmK2mnZyLidF/1ksalmwQi3EgDzfC/gr/gsp490L4Xy3viz4f2+va7c+ICun6tbh7LTZbIO s13aZwx8+GOWGOMgthZ4nlDNGftH65VxXjX4KeAviN4Zi8O+JfCGj6xoUWpjWU0+4tE8kXvntO0+ 0AAs8jyGT/noJZVfcsjhgC38KviRpfxg+HHh3xrotvqFppWu2Ud9bQ6paNbXCI4yA6N+jKWRxhkZ 0ZWPVUUUAfnD+0x+yX410P8AbAtv2gdY+NFx4W+Gujw/2peeJbmVFvtAihKoNMtYAhSVZjKyRjy2 DeZMsqTSMBdfanwP+L3gL9pHwbo3xI8HSW+oo0Mtks08KC+01nMT3FnL1MTbo4CyAlX2ROC67GPl V/4//Z//AOChGleP/hEurW/iU6JMN7wERzKyqFXUdOlIIdY5JGi81QVJyGDRTIZe1/ZR/ZR8Ifsl fDhPDnhxPt2q3eybWdfniC3GpzgEBiMnZEu5hHECQgJ5Z2d3APaqKKKAKmp6TY61bJb6hZ29/Ak0 NysVzEsirLFIssUgDAgMkiI6t1VlUjBANW6Kqanq1jotslxqF5b2EDzQ2yy3Mqxq0ssixRRgsQCz yOiKvVmZQMkgUAW6KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoor4B+E37efxW8b/t5a/8ACnU/hbqF l4WTNn/ZBjjGo6IkRLf2lcy7/KeKUSJuCuU2tB5DSt/x8gH39RRRQAUUUUAFFcr8VfiRpfwf+HHi LxrrVvqF3pWhWUl9cw6XaNc3DogyQiL+rMVRBlnZEVmHzX+xL/wUG0v9qfQfGsviHQ/+EKv/AAv5 uoXd0zs+lx6azO0TyXbAJFKiKQ4kK7/LaVBt8xIQD6+rK1v+w9Z8zwzq/wDZ99/a1lcb9Gvdkn2y 1GyOfMLZ8yIefGj8Ff3qg/eGfzB/am/4Kt/8J78OPGug/Bif/hH7u1vRat4iv7n7Ne3emMEjNzp0 TAFZTMxUgt50cTJKiZMrWfhfxD+FX7XUmleE/wBrPUtXuNZ1JdMj1iHVNKuYTd6Np6qvktJaIqxi CSKVpGjiV12PMbhU3SZAPSv2qv8AglP4v+Fviqz8a/AK51DWLSXWYTa6FbSmHUdCd3j8iWG5MgMk STE5kYo8K+WzM4WSVf1T+FWneL9I+HHh2z8f6vp+veM4LKNNV1LS7Y29vcTgfMyIT+BYBAxBYRxB hGvhX/BPP9o7xr+0t8BrfX/HHhu407UrKY2KeIBGkVprwThriKMEFWVgUkwoi3g+WfvxQ+Qft5/C b9qHxv8AtBfC3U/hTr/l+FrW9U6b9gY2yaJfiN/NutRyXE0TQ+aofaV2M8Hlbpf9JAPv6iqmkxX0 OlWcep3FveakkKLdXFpA0EMsoUb3SNncopbJCl3IBALNjJt0AFfkF/wVf+L+h/Gr44+BPhP4Z8fb I9LvTZ66l/cpB4f02/lkSNJZZlXcZYVaUTM29YV+VQrmdT+vteQeJP2TPhd4s+POi/GDU/DFvceN tKh8uO4P+pmlXZ5FzLH0knhVSsch5UMM5MUJjAO1+FXg/VPh/wDDjw74c1rxTqHjXVdMso7a51/V FVbi9dRgu4X8huLPgDe8j7nbqqKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqpFpNjDqtxqcdnbpqVzDF bT3ixKJpYo2kaONnxllRppSqk4BkcjG45t1U1bSbHX9KvNM1Ozt9R029he2urO7iWWGeJ1KvG6MC GVlJBUgggkGgDyv4NftZ/C74/eMvF3hfwR4nt9Y1bw1N5dxGnC3cWFDXNq3SaASMYjIvG5QfuSRP J6/XzB+zj/wT0+F37NHxQ8SeONAt7jUdSvZmGix6kfNGg2roBJDAxyWZmMi+c2X8orHn/WvN9P0A FFfK3gX/AIKRfCH4gftHXvwn03VP7lrpfiZpF/s7Vb/cwktYX/74Ech+WZt6p/yxM3pX7Wfxl8Q/ AL4DeJ/G/hfwjceMdW02HclrFgw2inO67uFDB2giHzOIwWx1Mab5YwDzX/gpF46+L3w//Zx1TUvh PY/3l17WbOVv7R0qw2/PPbRhfqHmDboVy6r1lh1f2GvBPi/wj+ypptprHgvw/wDDHxnqP2q/a3tL I7JJ5stHd3lmhi8qVvk3WySKERERfs4Ahhqf8E8/2jvGv7S3wGt9f8ceG7jTtSspjYp4gEaRWmvB OGuIowQVZWBSTCiLeD5Z+/FD9P0Afib4G/4JMfGT4m+MviOPFdxo/gh9KmmFlepaL9h1m9cCVBax whBDaFXBMixjy9wjWEskiRff3gfxj8G/+Ccng34b/BnxF48uH1LV5nYXepTMywtIWL3cqFiljaNM PLQD5QzMzFttxMPVfjL+1n8LvgD4y8I+F/G/ie30fVvEs3l28b8raRYYLc3TdIYDIoiEjcbmJ+5H K8fn/wC0d/wT0+F37S/xQ8N+ONft7jTtSsplGtR6afKGvWqIRHDOwwVZWEa+cuH8oNHn/VPCAfSm k6TY6BpVnpmmWdvp2m2UKW1rZ2kSxQwRIoVI0RQAqqoACgAAAAVbqppOk2OgaVZ6Zplnb6dptlCl ta2dpEsUMESKFSNEUAKqqAAoAAAAFeQftXftXeEP2Svhw/iPxG/27VbvfDo2gQSBbjU5wASoODsi XcpklIIQEcM7IjgHtVFcB8C/jp4Q/aL+HGneNfBWo/btKusxywygLcWU4AL286AnZKu4ZGSCCrKW RlY9/QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFVNW1ax0DSrzU9TvLfTtNsoXubq 8u5VihgiRSzyO7EBVVQSWJAABJryv4J/tZ/C74/+DfEXijwp4ntzpPh6aePVZNS/0NrKKMuVuZVk wUgkjjMqSNgbQwba6SIgBU0j9mL4Q+Af2grv4sW+i6fpvj7xJmzgeWVVR7oxzSXEttCeBczQq5lZ PmKRSNgb52k+YPhF8Xf2r9W/4KD+J/DXiXwxbw+CY4YxqGltMw0jTdL3S/ZL20u/LzLPI3mD7oMx EiOkIgH2Xi/2/fgP8Q/2nf8AhCPj78C/GOofEDw3aWX2rT9J0q5EM+ktHmQ3Vgo2O0peILJGQbpZ o0QbgBHB9E/8E6vih8UfF37PXhy6+MYt7We/mFp4V1TUrrZqevWoheVXliYZdhHFIyS7i80cbSMm F86YA+qdJ0mx0DSrPTNMs7fTtNsoUtrWztIlihgiRQqRoigBVVQAFAAAAAq3XxD8M/8Agpxo3xF/ bA1D4Qp4P1i00KWZtK0rVHsp/tx1CEyee11aFd8MBCkAsoaLyi8wVXf7P2vjr/gpF8Ifh/8AtHWX wn1LVP79rqniZZF/s7Sr/cojtZn/AO+xJIPlhbYr/wDLYwgFr9o7/gnp8Lv2l/ih4b8ca/b3Gnal ZTKNaj00+UNetUQiOGdhgqysI185cP5QaPP+qeH6U0nSbHQNKs9M0yzt9O02yhS2tbO0iWKGCJFC pGiKAFVVAAUAAAACrdVItWsZtVuNMjvLd9StoYrmezWVTNFFI0ixyMmcqrtDKFYjBMbgZ2nABbrz X9or4PeCvjj8I9d8NePdLuNS0IQvdiTT7d5r60ljRis9osaO5nUFgqorF9xQq6uyN6VRQB8Gf8E/ f25/BXxY8Zan8HPCnw8uPBHhrSIXm8Jx2UTzr/Z8YUSfbmXcIp2kYymVmKu02xnaUK9x951yvg/4 VeEPh/r3inWvDnh3T9F1XxRejUNZu7OEI97OFCh3P/fTYGAXklfG+R2bqqACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigDn/H/gDw98U/BureFPFek2+ueHtVhMF5YXIO2RcgggggqysAyupD KyqykMAR8g6L/wAEm/hd4f8Agl418D2mr6wdd8RzNIniyR8XNtFHN5lpbNEhVJYFKxtLGcCaRBJ+ 7ZIPI+3q+If+CnHwz/aA+Ivhnwenwh1C4n0K31O3bUNF0Rzaakb3z0NpdmfeA0EUmxsDZ5TATOXV Q9uAeqfsOfskQ/shfCNvD8+t3GueIdVmXUNYmS4k+wx3GwLstYWwFVVAUyFRJLtBbCiOOPxb9uf9 hj4o/tF/Hn4eeLvCPxDuNO0eymSCSK5l8o+Fyn7031kI9hkZ2jQEZEvmiH955WDb/T3/AAm+ufAn 9nH/AISn4sX/APwlOveG9G+169eeFtLc/apEXLmKEfhukIjj4aRlgjysfhf7EH/BRzw9+1dquo+F tdsLfwd47SaefT9MFwZIdRsgzOoikYAtPFHgSJgbgplQBd6QgH0p4Y+D3hbwv4yu/GkWl29347v9 MttK1LxTPbxJfahFCPlaUxIiBmIUsURA3lxDG2KNU5XxJ+yZ8LvFnx50X4wan4Yt7jxtpUPlx3B/ 1M0q7PIuZY+kk8KqVjkPKhhnJihMfKftb/tx+Av2Q7bRIPEC3GueIdVmiaPQdLZPtMdl5gWa7fcQ FVVDhAxHmyLsBCiR4/avAHj/AMPfFPwbpPivwpq1vrnh7VYRPZ39sTtkXJBBBAKsrAqyMAysrKwD AgAHQV8A/Cb9gz4reCP28tf+K2p/FLUL3ws+bz+1zJGdR1tJSV/s25i2eUkUQjTcVQJtWDyFib/j 2+n/ABJ+1n8LvCfx50X4P6n4nt7fxtqsPmR25/1MMrbPItpZOkc8ysWjjPLBRnBlhEnr9ABRVTU9 WsdFtkuNQvLewgeaG2WW5lWNWllkWKKMFiAWeR0RV6szKBkkCrdABRRRQAUUUUAFFcr8VfiRpfwf +HHiLxrrVvqF3pWhWUl9cw6XaNc3DogyQiL+rMVRBlnZEVmHzr+wf+3hD+2LbeKLG+8L3HhvxDok xnZbZZLixeylkb7ODcbQFnVRsZG2+ZsaSMbd6QgH1pRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF AHK+MPir4Q+H+veFtF8R+ItP0XVfFF6dP0a0vJgj3s4UsUQf98rk4BeSJM75EVvzM/bR/ZI+Df7K /wAXNI+Mz63caF4elmfULP4d6DcNZ319q8To8aWM6c2lpuYSTSLzb7QsPzTQrF9E/th/8E2tL/aq +Mnhbxv/AMJbqGiRr5dj4htJJGuPMsow7IbEOSsEpY7CuPL/AHpl271dZ+g+KPxC/Zs+P9z4r/Zs 8W+Jbe5n8OaYLmW91C/Jaylto5PNkh1CdmLXdrGheZnZjteQSeYFuVQA6C+8LfA3/gpR8G/DPiC6 tf8AhINFtb1LmF1k+zajps6lGuLKYoS0e9QqSIDhlZJEbIhlH0TpOk2OgaVZ6Zplnb6dptlClta2 dpEsUMESKFSNEUAKqqAAoAAAAFeLfsf/ABe+DfxL+F/9kfBWS3tfDXhaZ9L/ALIWFoJrZQ7+XM0b /OVnAaVZXyzln3kSrKq+6UAfK3jr/gm98IfiB+0dZfFjUtL/AL91qnhlY1/s7Vb/AHKY7qZP++zJ GPlmbYz/APLYTfVNFFAHxX/wUl/Y8+If7VWg+Ev+EI8U7I9LvUS58LajMILCTzWCG/Dqu4ywqzbl ff8Au9/lBXLJP9P/AAu0Wb4c+DfCngjXvGtx4y8T2mmHdqervGl9qSwmNJZ/LXllRpolLEuw3x+Z I7sXfta+Afiz+wZ8VvG/7eWgfFbTPilqFl4WTF5/a4kjGo6IkRC/2bbRbPKeKUSPtLIU2tP56yt/ x8gH39RRRQAUUUUAfK3jr/gpF8Ifh/8AtHWXwn1LVP79rqniZZF/s7Sr/cojtZn/AO+xJIPlhbYr /wDLYw+//Df4VeEPg/oNxovgrw7p/hnSri9n1CW006ERI88zbncgfgqjoiIiKFRFUcV4k/ZM+F3i z486L8YNT8MW9x420qHy47g/6maVdnkXMsfSSeFVKxyHlQwzkxQmP1+gAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAr8jf24/hL8B/wBjP4uL4nj+HNx4xn8ZwsbfwdeLLZ6BpkRcpqE0E6AEzvG6 rDChItHkabAH2aMfqR4w+KvhD4f694W0XxH4i0/RdV8UXp0/RrS8mCPezhSxRB/3yuTgF5IkzvkR W+Vf2gv2zf2cfEHxx0n4G/Eex0/xNpVvepPf63fokul6Pq0MimCCVj/20SZx8ke/ypdyPcCIA6D/ AIJ5/syfC74RfC+38eeBYdY1G88ZQm8j1jxRZfZtSh0933wWmzACqqhCzx5WdlEqkx+SE+tKK+K/ 2w/+Ckul/sq/GTwt4I/4RLUNbjby77xDdyRtb+XZSB1QWJcBZ5Qw3ls+X+6MW7eztAAfalFVNJ1O HWtKs9Qt0uI4LuFJ40u7aS2mVWUMA8Uiq8bYPKOoZTkEAgirdABRRRQAV+e3xd+Lv7V+k/8ABQfw x4a8NeGLebwTJDINP0tZmOkalpe6L7Xe3d35eYp428sfdJhJjREmE5+1foTRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHxX+2H/wTa0v9qr4yeFvG/8AwluoaJGvl2PiG0kka48y yjDshsQ5KwSljsK48v8AemXbvV1n4D9sD/gm14v+LX7QXgbxz8OvFv8AYsP+h2GpX95Ift+ji0j/ AHV+lwCJ7yXEarumkafzPKzL5Rzb/onRQB8A/to/ttfFb9mP4yfC/wADeGfBWoeJtOm8hrjVNUgj efxg5Aha1tvsybYpQ0is22NX85osQiHC3Gr/AMFFP2MvHf7YOg/D3XvCd9/Zeq6TiCbwpr7wRpap dtF505nh3/vYtieYgeVGSImH5xtn+3r3SbHUrmwuLuzt7qewmNzZyzRK7W0pjeIyRkjKMY5ZE3DB 2yMOjEHA1H4q+ENI+I+keALzxFp9t4z1eym1Cx0SSYC4uIIiA7qv/fRAPLCKUqCIpCoBU+HuizfC X4X+GtE8VeNbjxPfafDbabP4l1544Zr+4d1ij3HgFnkdI0DF5GJQM8khLt2tfFf/AAUl/Y8+If7V Wg+Ev+EI8U7I9LvUS58LajMILCTzWCG/Dqu4ywqzblff+73+UFcsk/1V8KvB+qfD/wCHHh3w5rXi nUPGuq6ZZR21zr+qKq3F66jBdwv5DcWfAG95H3OwB1VFFFABRRRQAVyvjD4q+EPh/r3hbRfEfiLT 9F1XxRenT9GtLyYI97OFLFEH/fK5OAXkiTO+RFbqq+K/2w/+CbWl/tVfGTwt43/4S3UNEjXy7HxD aSSNceZZRh2Q2IclYJSx2FceX+9Mu3errOAfZNlq1jqVzf29peW91PYTC2vIoZVdraUxpKI5ADlG Mcsb7Tg7ZFPRgTbr8bfEvwm/aG/4Jvf8LL+Jtrr+oeI4davX0oa3bsl1a3XnfvE1bUopS7rKHlZI gQf9IaTfKYisd99Kf8EiLH4vX3wn1rxT4z8Tf2r4B129nutEs9Rla7v3uvPcXl0Ji5McTzCTdG4Z nkDyDy8s04B9/UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfEPxM/wCCY+jfEX9sDT/i 8/jDWLTQpZl1XVdLS9n+3HUITH5C2t2G3wwEKCQrBovKCQlVdPs/a/8ABSLx18Xvh/8As46pqXwn sf7y69rNnK39o6VYbfnntowv1DzBt0K5dV6yw+lfsmeJPij4s+A3hjU/jBotvofjaaHM8MXyTTRc eXNcQbQLed15eFSQp5xGSYYwD1+iiviH/gpx8M/2gPiL4Z8Hp8IdQuJ9Ct9Tt21DRdEc2mpG989D aXZn3gNBFJsbA2eUwEzl1UPbgH29RXK/CrTvF+kfDjw7Z+P9X0/XvGcFlGmq6lpdsbe3uJwPmZEJ /AsAgYgsI4gwjXqqACiiigAooooA8q/ad/Z90v8Aad+DeteANV1bUNEjvtk0F9p8rDyp4zuiaWIM FniDAFon4OAQUdUdPK/2W/gP4Y/4J4fs46xeeMvGPpq/iPVJ7mX+zrebaqCO1gP/AACMME86dtgI /wBVFH9U1U1bSbHX9KvNM1Ozt9R029he2urO7iWWGeJ1KvG6MCGVlJBUgggkGgDwD9kj9uPwF+15 ba3B4fW40PxDpU0rSaDqjJ9pksvMKw3abSQyspQOFJ8qRthJUxvJ9FV5V+z7+zF8PP2YtB1bSvAG i/2bHql695d3M8pnuJcsxiiMrfMYoVbZGpPAyxLO8jv6rQAVwHx0+OnhD9nT4caj418a6j9h0q1x HFDEA1xezkEpbwISN8rbTgZAADMxVFZh39eK/tXfso+EP2tfhw/hzxGn2HVbTfNo2vwRBrjTJyAC wGRvibaokiJAcAcq6o6AHpXgDx/4e+Kfg3SfFfhTVrfXPD2qwiezv7YnbIuSCCCAVZWBVkYBlZWV gGBA6CuA+BfwL8Ifs6fDjTvBXgrTvsOlWuZJZpSGuL2cgB7idwBvlbaMnAAAVVCoqqO/oAKKKKAC iiigAooooAK5Xxh8VfCHw/17wtoviPxFp+i6r4ovTp+jWl5MEe9nCliiD/vlcnALyRJnfIit1VfF f7Yf/BNrS/2qvjJ4W8b/APCW6hoka+XY+IbSSRrjzLKMOyGxDkrBKWOwrjy/3pl271dZwD7Uoqpp OmQ6LpVnp9u9xJBaQpBG93cyXMzKqhQXlkZnkbA5d2LMckkkk1boAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5XUfir4Q0j4j6R4AvP EWn23jPV7KbULHRJJgLi4giIDuq/99EA8sIpSoIikK9VXxD8TP8AgmPo3xF/bA0/4vP4w1i00KWZ dV1XS0vZ/tx1CEx+Qtrdht8MBCgkKwaLygkJVXT7OAfb1FFFABRRRQAUUUUAFfAPxZ/bz+K3gj9v LQPhTpnwt1C98LPiz/sgRxnUdbSUhv7Stpd/lJFEI32hnCbVn89om/49vv6qkuk2M2q2+pyWdu+p W0MttBeNEpmiikaNpI1fGVV2hiLKDgmNCc7RgANWlvodKvJNMt7e81JIXa1t7udoIZZQp2I8io5R S2AWCOQCSFbGD8GfsGfFn9qHxv8AtBfFLTPitoHl+FrW9Yal9vU2yaJfiNPKtdOwHE0TQ+UxTcV2 Mk/m7pf9J+/qKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKK5/wAf+P8Aw98LPBureK/FerW+h+HtKhM95f3JO2Nc gAAAEszMQqooLMzKqgsQD4r+yR+3H4C/a8ttbg8PrcaH4h0qaVpNB1Rk+0yWXmFYbtNpIZWUoHCk +VI2wkqY3kAPoqiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiqmranDoulXmoXCXEkFpC88iWltJczMqqWISKNWeR sDhEUsxwACSBQB5X4b/az+F3iz48618H9M8T29x420qHzJLcf6maVd/n20UnSSeFVDSRjlQxxkxT CP1+vyC/YCk+Bvxq/by8b+IdN+HuoaJGv/E38FaILf7Rp2mmMgT3NwqArBKWKSQqT5ELSsiNvW3J /X2gD5W8df8ABSL4Q/D/APaOsvhPqWqf37XVPEyyL/Z2lX+5RHazP/32JJB8sLbFf/lsYfqmvIPE n7Jnwu8WfHnRfjBqfhi3uPG2lQ+XHcH/AFM0q7PIuZY+kk8KqVjkPKhhnJihMfr9ABRRRQAUUV8Q /DP/AIKcaN8Rf2wNQ+EKeD9YtNClmbStK1R7Kf7cdQhMnntdWhXfDAQpALKGi8ovMFV3+zgH29RX K/Ej4q+EPg/oNvrXjXxFp/hnSri9g0+K71GYRI88zbUQE/izHoiI7sVRGYdVQAUUUUAFFFFABRRR QBU1bSbHX9KvNM1Ozt9R029he2urO7iWWGeJ1KvG6MCGVlJBUgggkGvNf2ff2Yvh5+zFoOraV4A0 X+zY9UvXvLu5nlM9xLlmMURlb5jFCrbI1J4GWJZ3kd/VaKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiqmrWU2 paVeWlvf3GlzzwvFHf2ixtNbMykCRBIjoWUncA6MuQMqRkEA5XwF4A8BeEPE3jfUvCOk6Pp+u6zq aT+JZtNCedLe+RG6ifByjGOVJdnGTcNLjdMzN2tfBn7DH7DHxR/Z0+PPxD8XeLviHcajo97M8EcV tL5p8UF/3ovr0SbzGyNI4AyZfNM37zysm4+86ACiivz2+Lvxd/av0n/goP4Y8NeGvDFvN4JkhkGn 6WszHSNS0vdF9rvbu78vMU8beWPukwkxoiTCc/agD9CaKKKACuV074VeENI+I+r+P7Pw7p9t4z1e yh0++1uOEC4uIIiSiM3/AHyCRywiiDEiKML1VFAH4xf8FO9U8e/tD/tgeHvhbo/w+1i11LTITZaH bzXDu2srMd73kaeYbeKD9237wYYLCxndfL8qD2D4p/tN/Gf9g/8A4UH8GtN8Gf8ACTLYWVvFeX6r cXEXilzmI6fp7u8sqeUZUUEhX8wQ7LeK32RS/plLpNjNqtvqclnbvqVtDLbQXjRKZoopGjaSNXxl VdoYiyg4JjQnO0Y8g/a/vviHonwO1jW/hT4Z0/xN4+0nN1pou4hNcWGY5IpbqziKMJblYZZVWPK7 g7j95/qZQD1/Sb2bUtKs7u4sLjS554UlksLto2mtmZQTG5jd0LKTtJR2XIOGIwTbr5W/4Ju+Ovi9 8QP2cdL1L4sWP91dB1m8lb+0dVsNvyT3MZX6BJi26ZcOy9JZvqmgAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooA5X4q+MNU+H/wAOPEXiPRfC2oeNdV0yykubbQNLZVuL11GQiFvzO0M5AOxJ H2o3yX/wTV/bZ8a/tYW3jbTPGehW/wBu0KZbxdd0sJDbCK5kkMVo8LOXDIEcI6hg0ceJCJAGm+3q /Pb4J/8ABPb4k/C79unxF8Tn+I1wPB800+qtqVsIUvtda6ld5bC6gVBEqq4DyOqBW/ctCsbkm2AP 0JooooAKKKKAPiH/AIKcfE39oD4deGfB7/CHT7iDQrjU7ddQ1rREN3qQvfPQWloYNhCwSybFyN/m sRC4RWCXH1p8KtR8X6v8OPDt54/0jT9B8Zz2Ub6rpul3JuLe3nI+ZUcj8SoLhSSoklCiRuqooAKK KKACiiigCpq0t9DpV5Jplvb3mpJC7WtvdztBDLKFOxHkVHKKWwCwRyASQrYwfgz9gz4s/tQ+N/2g vilpnxW0Dy/C1resNS+3qbZNEvxGnlWunYDiaJofKYpuK7GSfzd0v+k/f1FABRRRQAUUUUAFVNM1 ax1q2e40+8t7+BJprZpbaVZFWWKRopYyVJAZJEdGXqrKwOCCKwPir4P1T4gfDjxF4c0XxTqHgrVd TspLa21/S1VriydhgOgb8jtKvgnY8b7XX5V/4JtfsefEP9lXQfFv/Cb+Kd8eqXrpbeFtOmE9hH5T FBfl2XcJZlVdqps/d7PNDOFSAA+1KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK/Ozx1/wUf8AHdn+3lZfCnwj4G/4 SbwtYXr6DfaRp80FxqOozkq0l3HKkhih8gI37qR1AUT/AGgxN/x7Hw4+B/7VMv7eXjTVfFvirPgG /shDqmr2rz2+najpLmVbazsIo5lltrmImUhlkD27GSRpJfOH2nv/ANjz/gm1pf7Kvxk8U+N/+Et1 DW428yx8PWkcjW/l2UgRnN8EIWeUMNgXHl/uhLt3siwAH2pRXyt+1J/wUH+Hn7N/jvR/Ad5qHneJ NQyNQvILY3kHhyN4mMFzdQo6PNlzExt43WQw73BBMSy/Ov8AwTl1L4yL+1p8XdH8bfE7R9eg8mDW tWsPtq341triJDaajppRlWODyDb5dRtEUltEYgfLMAB+mdFfJf7eH7eEP7HVt4XsbHwvceJPEOtz CdVuVkt7FLKKRftAFxtIadlOxUXd5e9ZJBt2JN9FfCr4kaX8YPhx4d8a6Lb6haaVrtlHfW0OqWjW 1wiOMgOjfoylkcYZGdGViAdVRRRQAUUUUAFFFFABXyt4F/4KRfCH4gftHXvwn03VP7lrpfiZpF/s 7Vb/AHMJLWF/++BHIflmbeqf8sTN9U15B4b/AGTPhd4T+POtfGDTPDFvb+NtVh8uS4H+phlbf59z FH0jnmVgskg5YKcYMsxkAPX6KKKACiiviv8AbD/4KS6X+yr8ZPC3gj/hEtQ1uNvLvvEN3JG1v5dl IHVBYlwFnlDDeWz5f7oxbt7O0AB9qUVU0nU4da0qz1C3S4jgu4UnjS7tpLaZVZQwDxSKrxtg8o6h lOQQCCKt0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHkHxl/ZM+F3x+8ZeEfFHjfwxb6xq3hqbzLd34W7iw xW2ul6TQCRhKI243KR9ySVJPjbUf+CXXi/w3+2rpHj/wF4/1DQfBk97Nr13rcl2bjWdPnLgy2itN v+0+f5jgSzbxsMonEpUC4/SiigD87P8Ago5+z1+0N8cPjJ8N7fwbNp+ufD37bEbTTpbdPsek36Bn e61OOUSJcRFFfa5RlC7oRFvlH2nV/YM+LP7UPjf9oL4paZ8VtA8vwta3rDUvt6m2TRL8Rp5Vrp2A 4miaHymKbiuxkn83dL/pP39RQB8A/Fn9vP4reCP28tA+FOmfC3UL3ws+LP8AsgRxnUdbSUhv7Stp d/lJFEI32hnCbVn89om/49j9vP4s/tQ+CP2gvhbpnwp0DzPC11eqNN+wKblNbvzG/m2uo5CCGJYf NYJuC7Fefzd0X+jfdOt6J9s8y/sI9Pt/EkNlcWmn6pe2f2j7L5uxiCA6O0ReKFnjWRN/lL8wIBH5 2fswfDf9tD4Y+O/jpr+r3Gn+Irt/OkTTfEl2xs/EereUnkXFi67BDEsPlrnEaMqx2xERjMloAfo7 pMt9NpVnJqdvb2epPCjXVvaTtPDFKVG9EkZELqGyAxRCQASq5wPmv/goZ+0d41/Zp+A1xr/gfw3c ajqV7MLF/EBjSW00EPwtxLGSSzMxCR5UxbyPMP3IpuA/4Jj/ABN/aA+Ivhnxg/xe0+4n0K31O4XT 9a1tDaakb3z3F3aCDYA0EUm9cnZ5TAwoHVSlufts/wDBQ/w9+zp8UNC+Gup+BbjxZpN/CJfFQv7Y pDJpk6PH5dqsoCXTE5Lk/uiI2hLb2doAD3/9kz4y+Ifj78BvDHjfxR4RuPB2ralDue1lwIbtRjbd 26li6wSj5kEgDY6GRNksngHwz/4KcaN8Rf2wNQ+EKeD9YtNClmbStK1R7Kf7cdQhMnntdWhXfDAQ pALKGi8ovMFV3+z8V8R/hp+1T4w/by8F+NfCXiT7L4Bnsjc6XqN1YT22naXpLGJrmyv9PkZZTcyH ysoxV5WEbK0H2ci17/4aftm/s4+Kf21fEmi6DY6fbeM9XsrbRYfiAqILfXZ4nfNlHL/36VJelwYl QEiK28wA+1KK8g8SftZ/C7wn8edF+D+p+J7e38barD5kduf9TDK2zyLaWTpHPMrFo4zywUZwZYRJ 6pLq1jDqtvpkl5bpqVzDLcwWbSqJpYo2jWSRUzllRpogzAYBkQHG4ZALdVNWivptKvI9MuLez1J4 XW1uLuBp4YpSp2O8auhdQ2CVDoSAQGXORgfEP4q+EPhNoN9rHi/xFp+gWFnZS6hK15MA5giaNHdI xl5MPPAmEBJeaJQCzqDv6Tq1jr+lWep6ZeW+o6bewpc2t5aSrLDPE6hkkR1JDKykEMCQQQRQB8Gf sGfCb9qHwR+0F8UtT+K2v+Z4Wur1jqX29jcprd+Y08q607BQQxLD5Sl9oXYqQeVui/0a3/wVJ+A/ xk+Llt8ONY+GFtb6onh/U1ZbbTYFg1qyvZZEWK7ivGYFYFYR7whj8sqsshkVA1v9518rf8FIvHXx e+H/AOzjqmpfCex/vLr2s2crf2jpVht+ee2jC/UPMG3Qrl1XrLCAe/8Awq07xfpHw48O2fj/AFfT 9e8ZwWUaarqWl2xt7e4nA+ZkQn8CwCBiCwjiDCNeqryD9kzxJ8UfFnwG8Man8YNFt9D8bTQ5nhi+ SaaLjy5riDaBbzuvLwqSFPOIyTDH6/QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcr 4w+FXhD4ga94W1rxH4d0/WtV8L3p1DRru8hDvZTlSpdD/wB8tg5AeOJ8b40ZeqooAK/Oz9s3x98K f2DvjjY/FLw98MP7c+K/jDbI81yslvpdtAkmL64hfYUF9cI4iYx7iufMcDzXW6/ROuV+JHwq8IfG DQbfRfGvh3T/ABNpVvewahFaajCJUSeFtyOAfxVh0dHdGDI7KQD89v2mPgV8LvEXg22/bE8H/DXW PE5u9M/tm58E31j9msbi6cqyapqNuSHaCIb5Jkg3pc/u5CwiM80nyD4O8cfEnxh8XPAf7RPxj+JG seDtEk1OOwsfF1tFCb64jgdI54tPsUXDQIs0nnSeSbcZnDCaZxBN+yX7WfiT4o+E/gN4n1P4P6Lb 6542hhzBDL880MXPmTW8G0i4nReUhYgMecSECGT8rIvgv8Uf2y/2FvDniqy8P+F9c134czPounXG lvu1/UtHgiGLR44m2BoCQyRSKZZUbcgRjm9APdf2rv8AgnH8Q/2qP2gn8e+HviRp/iDwRr+jPe6b qmqTiRNP2xhrWxgEC7XtpWkDpNGOEMzuJJApuPP/ANl74w/HL4X/ABH8T/svfD/w1qGnzWtlcWtj c+JYPtFxoN4CZH1adfNaCK2mMqnyo2kiQSW7xi8lMn27V/Yf8dftI/Bb9qvwv8C/GVlp+m6KujJE /hrVZbSxt4bCPzZheWL26lbm53PMXMfmNMRKJmBiMsH6uxaTYw6rcanHZ26alcwxW094sSiaWKNp GjjZ8ZZUaaUqpOAZHIxuOQD8Y/8Ahm/9uT/hRP2L+0PEH9lf8Jn9o/4Rv+1h/bH2/wC1f8hDzs7v s32v97u8/bv/ANK2bP39e/8AxS1TVP2/f2cdT+Fng/4xaf4k+Lngbyp/EGm6TEtjpPjAxqm54HbB kiSY7FmBSBpkDtFFHLbSR/o7q2k2Ov6VeaZqdnb6jpt7C9tdWd3EssM8TqVeN0YEMrKSCpBBBINf Nf7OP/BPT4Xfs0fFDxJ440C3uNR1K9mYaLHqR80aDaugEkMDHJZmYyL5zZfyisef9a8wB8l+NP2g vjl/wT3/AOFK/BqHSdQ+ISxeXLPf30XnRa6JMRDRtKeNTKsVuZEVWlBnMnlYiS32RSfqRpN7NqWl Wd3cWFxpc88KSyWF20bTWzMoJjcxu6FlJ2ko7LkHDEYJq/8AEj8R6j/zD9Uv9Avf9iaXTrprf8TF Kbe59mMc/wDdfnK+KuneL9X+HHiKz8Aavp+g+M57KRNK1LVLY3FvbzkfKzoD+AYhwpIYxyhTGwB1 VFfEP/BMf4Z/tAfDrwz4wT4vahcQaFcancNp+i625u9SF757m7uxPvIWCWTe2Dv81iZkKKxe4+09 W1ax0DSrzU9TvLfTtNsoXubq8u5VihgiRSzyO7EBVVQSWJAABJoA+Afi78Iv2r9W/wCCg/hjxL4a 8T28PgmOGQ6fqiwsNI03S90X2uyu7TzMyzyN5Z+8DMRG6PCID9l/QmvKv2ff2nfh5+07oOrar4A1 r+0o9LvXs7u2niMFxFhmEUpib5hFMq742I5GVIV0kRPVaACiiql7q1jptzYW93eW9rPfzG2s4ppV RrmURvKY4wTl2EcUj7Rk7Y2PRSQAW6KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA5X4q/DfS/jB 8OPEXgrWrjULTStdspLG5m0u7a2uERxglHX9VYMjjKurozKfnX9g/wDYPh/Y6tvFF9feKLjxJ4h1 uYwM1s0lvYpZRSN9nJt9xDTsp3s7bvL3tHGdu95vrSigD89vj5+w58N5f23fA3xE8TfFO48NweLd TEsegXOpzJqV9q8AjaCOyut2+GAhVBIYGJhDDCymeEQ/oTXxX+2H/wAE2tL/AGqvjJ4W8b/8JbqG iRr5dj4htJJGuPMsow7IbEOSsEpY7CuPL/emXbvV1n6D/goZ8M/iz4m/ZcuPDvwf1C4kgtIRDrWk h5rnV9X05Y9phiuXdnkbAzIjZkuBld5JaKcA+tKqatZTalpV5aW9/caXPPC8Ud/aLG01szKQJEEi OhZSdwDoy5AypGQfK/2TPDfxR8J/Abwxpnxg1q31zxtDDieaL55oYuPLhuJ9xFxOi8PMoAY8ZkIM 0nr9AHwZ+wx+wx8Uf2dPjz8Q/F3i74h3Go6PezPBHFbS+afFBf8Aei+vRJvMbI0jgDJl80zfvPKy bj7zoooAK5/x/wCAPD3xT8G6t4U8V6Tb654e1WEwXlhcg7ZFyCCCCCrKwDK6kMrKrKQwBHQUUAfO v7JH7DngL9kK21ufw+1xrniHVZpVk17VFT7THZeYWhtE2gBVVQhcqB5si7yAojSPwv4s/t5/FbwR +3loHwp0z4W6he+FnxZ/2QI4zqOtpKQ39pW0u/ykiiEb7QzhNqz+e0Tf8e339VSXSbGbVbfU5LO3 fUraGW2gvGiUzRRSNG0kavjKq7QxFlBwTGhOdowAW6+DP25/2GPij+0X8efh54u8I/EO407R7KZI JIrmXyj4XKfvTfWQj2GRnaNARkS+aIf3nlYNv950UAVNJsptN0qztLi/uNUnghSKS/u1jWa5ZVAM jiNEQMxG4hEVck4UDAFuiigAooooAK8q/ad/aC0v9mL4N614/wBV0nUNbjsdkMFjp8THzZ5DtiWW UKywRFiA0r8DIADuyI/qtVNW0mx1/SrzTNTs7fUdNvYXtrqzu4llhnidSrxujAhlZSQVIIIJBoA8 A/Yc/a3h/a8+EbeIJ9EuND8Q6VMun6xClvJ9hkuNgbfazNkMrKQxjLGSLcA2VMckn0VXP+APAHh7 4WeDdJ8KeFNJt9D8PaVCILOwtgdsa5JJJJJZmYlmdiWZmZmJYknoKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAoor5W8C/8FIvhD8QP2jr34T6bqn9y10vxM0i/wBnarf7mElrC/8A3wI5D8szb1T/AJYmYA+q aKKKACiiigAooooAKKKKACiqmrS30OlXkmmW9veakkLta293O0EMsoU7EeRUcopbALBHIBJCtjB+ DP2DPiz+1D43/aC+KWmfFbQPL8LWt6w1L7eptk0S/EaeVa6dgOJomh8pim4rsZJ/N3S/6SAff1FF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXkHhv9kz4XeE/jzrXxg0zwxb2/jbVYfLkuB/q YZW3+fcxR9I55lYLJIOWCnGDLMZPX65X4q6j4v0j4ceIrzwBpGn694zgspH0rTdUuTb29xOB8qu4 H4hSUDEBTJEGMigB8VdO8X6v8OPEVn4A1fT9B8Zz2UiaVqWqWxuLe3nI+VnQH8AxDhSQxjlCmNvk v/gmP8M/2gPh14Z8YJ8XtQuINCuNTuG0/Rdbc3epC989zd3Yn3kLBLJvbB3+axMyFFYvcVP+Cbvx j+OXibwJ491b44x/ZPCGlXt3PD4m8TN/Z95DOkrm+gaNkVfs0DCTLt5YhZWiXeqFbf7poAKK5/x/ 4/8AD3ws8G6t4r8V6tb6H4e0qEz3l/ck7Y1yAAAASzMxCqigszMqqCxAOrpOrWOv6VZ6npl5b6jp t7Clza3lpKssM8TqGSRHUkMrKQQwJBBBFAFuiiigAooooA+df24/2t4f2Q/hGviCDRLjXPEOqzNp +jwvbyfYY7jYW33Uy4CqqgsIwwkl2kLhRJJH2v7MX7QWl/tO/BvRfH+laTqGiR32+Gex1CJh5U8Z 2yrFKVVZ4gwIWVODgghHV0TtfH/gDw98U/BureFPFek2+ueHtVhMF5YXIO2RcgggggqysAyupDKy qykMARb8Of2HZWbaJoP9nwWmh+Xpradp2xU0/bDG8duY04ixDJEypgYR0IGCKANWiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooA+Qf+CpXww1T4ifsqa9eWfjr/hErDw7/wATa+026lWK y1pExstpXxv83ftMKAlHlKKyFjHJF5V8WdJ+OX7MH/BOPQNN+Hfi3/hYUkVkJdX8X6bdedLo2kyR hl/svagaS2RTtFyzl4o/nRUTabX6J/bj/ZIh/a9+Ea+H4NbuND8Q6VM2oaPM9xJ9hkuNhXZdQrkM rKSokCmSLcSuVMkcnwZ+yJrfx6/Yl+OPiPwP47k8n4R+GLL7Z4iudavJf7G06weSQwXunS7GPmzz GRY4Ik3XDmSN0WSNngAPpTxh+zZ8S/26f2KvC1n8Wj/wg/xXsM6hp224kS3unCFYn1KzVQkMsqEh goZ4CxZQm+W1r6U/Zi/Z90v9mL4N6L4A0rVtQ1uOx3zT32oSsfNnkO6VooixWCIsSViTgZJJd2d3 1vgX8dPCH7Rfw407xr4K1H7dpV1mOWGUBbiynABe3nQE7JV3DIyQQVZSyMrHv6ACiiigAooooAqa tZTalpV5aW9/caXPPC8Ud/aLG01szKQJEEiOhZSdwDoy5AypGQfyN8Hx6p/wS4+OPinxR8TviDqH i258RXoit/DmhXCy3XiSzeQPLrOoCYt5Plb5hGpYSy3AlRZRCJZJP19ryr9oL9mL4eftO6DpOleP 9F/tKPS71Ly0uYJTBcRYZTLEJV+YRTKuyRQeRhgVdI3QA7XwB4/8PfFPwbpPivwpq1vrnh7VYRPZ 39sTtkXJBBBAKsrAqyMAysrKwDAgdBVTSdJsdA0qz0zTLO307TbKFLa1s7SJYoYIkUKkaIoAVVUA BQAAAAKt0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXAfHT4F+EP2i/hxqPgrxrp32 7SrrEkU0RC3FlOAQlxA5B2SruODgggsrBkZlPf0UAeK/so/so+EP2Svhwnhzw4n27VbvZNrOvzxB bjU5wCAxGTsiXcwjiBIQE8s7O7+1UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf//Z