Miriam Pomilio, Office of State Planning Coordination, Principal Planner/GIS Coordination State of Delaware 2012 Land Use/Land Cover Update 1st vector digital data The 2012 Land Use Land Cover (LULC) update was performed using computer interactive heads-up digitizing techniques and ArcGIS software. The baseline datasets were year 2012 digital CIR orthophotos and the State’s existing 2007 LULC data. The data was digitally subdivided into working production modules based on the 1:24,000 scale USGS topographic quadrangle system. The LULC update was performed per the modified Anderson, et al., LULC classification and 2 acre minimum mapping unit (140’ width) established for the State’s previous LULC Update projects. The work was performed by Aerial Information Systems, Inc. (AIS) of Redlands, California.AIS staff analysts compared the State’s existing 2007 LULC data to the 2012 project imagery. Every polygon was reviewed for change, accuracy of polygon boundaries, and adherence to the 2012 LULC classification and mapping criteria. Polygon boundaries and codes were modified as necessary through the addition of new lines and codes or the modification of existing arcs. In addition, large obvious errors in the 2007 data were retroactively (‘retro”) corrected. The “retro” mapping process helps to ensure a more accurate baseline dataset for change analysis studies. The 2012 LULC interpretations were incorporated directly into the baseline 2007 LULC coverage to create a final composite coverage containing LULC information for both eras. Each polygon in the composite coverage was assigned an item for 2012 and 2007. Where no LULC change had occurred, the LULC class for both item years remained the same. Where a LULC change did occur, new boundaries were added to the data set as needed, subdividing the existing 2007 polygon, and the polygons were attributed for the appropriate 2012 LULC type. This method ensured that the different layers seamlessly co-registered to each other, creating a sliver free coverage for use in change analysis studies. This land use/land cover was produced for the purpose of statewide base mapping and to update the State of Delaware's existing 2007 Land Use Land Cover dataset to 2012 conditions. Complete Unknown -75.792769 -75.030154 39.841870 38.450320 ISO 19115 Topic Category imageryBaseMapsEarthCover, Aerial Photography, Digital Orthophotography, Color Infrared, Leaf-off Photogrpahy, Land Use Land Cover Delaware Place Thesaurus United States of America (USA), Mid Atlantic, Delaware (DE), Sussex County, Kent County, New Castle County None For planning purposes only Office of State Planning Coordination Miriam Pomilio Principal Planner/GIS Coordination mailing and physical
122 Martin Luther King Jr. Blvd., South
Dover DE 19901 US 302 739 3090 miriam.pomilio@state.de.us Mapped by Aerial Information Systems, Inc., for the Delaware Office of State Planning Coordination Unclassified For planning purposes only. Vector Simple FALSE 51930 TRUE FALSE State of Delaware 2012 LULC Update Polygon coded for LULC_Code2012, LULC_Code2007 Feature Class 51930 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. LULC_Code2012 2012 Land Use Land Cover 110 Mixed Single and Multi-Family Residential 111 Single Family Dwellings 112 Multi-Family Dwellings 114 Mobile Home Parks/Courts 121 Retail Sales/Wholesale/Professional Services 122 Vehicle Related Activities 123 Junk/Salvage Yards 125 Warehouses and Temporary Storage 129 Other Commercial 130 Industrial 141 Highways/Roads/Access Roads/Freeways/Interstates 142 Parking Lots 143 Railroads 144 Airports 145 Communication Antennas 146 Marinas/Port Facilities/Docks 149 Other Transportation/Utilities 150 Utilities 160 Mixed Urban or Built-up Land 170 Other Urban or Built-up Land 180 Institutional/Governmental 190 Recreational 211 Cropland 212 Pasture 213 Idle Fields 220 Orchards/Nurseries/Horticulture 230 Confined Feeding Operations/Feedlots/Holding 240 Farmsteads and Farm Related Buildings 290 Other Agriculture 310 Herbaceous Rangeland 320 Shrub/Brush Rangeland 330 Mixed Rangeland 410 Deciduous Forest 420 Evergreen Forest 430 Mixed Forest 440 Clear-cut 510 Waterways/Streams/Canals 520 Natural Lakes and Ponds 530 Man-made Reservoirs and Impoundments 540 Bays and Coves (Tidal) 610 Non-Tidal Forested Wetland 622 Non-tidal Scrub/Shrub Wetland 623 Non-tidal Emergent Wetland 660 Tidal Forested Wetland 672 Tidal Scrub/Shrub Wetland 673 Tidal Emergent Wetland 720 Beaches and River Banks 730 Inland Natural Sandy Areas 750 Extraction 760 Transitional (includes cleared, filled, and gravel) 770 Tidal Shoreline 780 Non-tidal Shoreline LULC_Code2012 SmallInteger 2 5 0 LULC_CATEGORY2012 LULC_Category2012 String 75 0 0 SHAPE SHAPE Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. SHAPE.AREA SHAPE.AREA Double 0 0 0 SHAPE.LEN SHAPE.LEN Double 0 0 0 20140930 Office of State Planning Coordination Miriam Pomilio Principal Planner/GIS Coordination mailing and physical
122 Martin Luther King Jr. Blvd., South
Dover DE 19901 US 302 739 3090 miriam.pomilio@state.de.us FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time For planning purposes only Unclassified Miriam Pomilio Office of State Planning Coordination Principal Planner/GIS Coordination 302 739 3090 122 Martin Luther King Jr. Blvd., South Dover DE 19901 US miriam.pomilio@state.de.us 20240716 ArcGIS Metadata 1.0 State of Delaware 2012 Land Use/Land Cover Update 1st Miriam Pomilio, Office of State Planning Coordination, Principal Planner/GIS Coordination vector digital data <DIV STYLE="text-align:Left;"><DIV><P><SPAN>The 2012 Land Use Land Cover (LULC) update was performed using computer interactive heads-up digitizing techniques and ArcGIS software. The baseline datasets were year 2012 digital CIR orthophotos and the State’s existing 2007 LULC data. The data was digitally subdivided into working production modules based on the 1:24,000 scale USGS topographic quadrangle system. The LULC update was performed per the modified Anderson, et al., LULC classification and 2 acre minimum mapping unit (140’ width) established for the State’s previous LULC Update projects. The work was performed by Aerial Information Systems, Inc. (AIS) of Redlands, California.AIS staff analysts compared the State’s existing 2007 LULC data to the 2012 project imagery. Every polygon was reviewed for change, accuracy of polygon boundaries, and adherence to the 2012 LULC classification and mapping criteria. Polygon boundaries and codes were modified as necessary through the addition of new lines and codes or the modification of existing arcs. In addition, large obvious errors in the 2007 data were retroactively (‘retro”) corrected. The “retro” mapping process helps to ensure a more accurate baseline dataset for change analysis studies. The 2012 LULC interpretations were incorporated directly into the baseline 2007 LULC coverage to create a final composite coverage containing LULC information for both eras. Each polygon in the composite coverage was assigned an item for 2012 and 2007. Where no LULC change had occurred, the LULC class for both item years remained the same. Where a LULC change did occur, new boundaries were added to the data set as needed, subdividing the existing 2007 polygon, and the polygons were attributed for the appropriate 2012 LULC type. This method ensured that the different layers seamlessly co-registered to each other, creating a sliver free coverage for use in change analysis studies.</SPAN></P></DIV></DIV> This land use/land cover was produced for the purpose of statewide base mapping and to update the State of Delaware's existing 2007 Land Use Land Cover dataset to 2012 conditions. Mapped by Aerial Information Systems, Inc., for the Delaware Office of State Planning Coordination Miriam Pomilio Office of State Planning Coordination Principal Planner/GIS Coordination 302 739 3090 122 Martin Luther King Jr. Blvd., South Dover DE 19901 US miriam.pomilio@state.de.us Delaware Place Thesaurus United States of America (USA) Mid Atlantic Delaware (DE) Sussex County Kent County New Castle County ISO 19115 Topic Category imageryBaseMapsEarthCover Aerial Photography Digital Orthophotography Color Infrared Leaf-off Photogrpahy Land Use Land Cover United States of America (USA) Mid Atlantic Delaware (DE) Sussex County Kent County New Castle County imageryBaseMapsEarthCover Aerial Photography Digital Orthophotography Color Infrared Leaf-off Photogrpahy Land Use Land Cover For planning purposes only. <DIV STYLE="text-align:Left;"><DIV><P><SPAN>For planning purposes only.</SPAN></P><P><SPAN>The State of Delaware makes no warranty or representation, expressed or implied, with respect to the quality, content, accuracy, completeness, currency, or non-infringement of proprietary rights, of any of the GIS or other data or information, or any other materials and items, that are displayed or made available for download from this site. All such data, information, items and materials (collectively, the “FirstMap Data”) are provided "as is" and users are fully and solely responsible for any consequences of use. FirstMap Data may have been created from a variety of sources, including sources beyond the control of the State of Delaware, and are subject to change without notice. To the extent you use, apply, add to, modify or implement this information in your own information system or other setting, or otherwise for your own purposes, you do so at your own risk. In no event shall the State of Delaware or its agencies, officers, employees, agents, or representatives be liable for any damages of any kind or nature whatsoever including, but not limited to, direct, indirect, special, punitive, incidental, exemplary or consequential damages arising from your downloading, modifying, sharing, distributing, or using of FirstMap Data even if notified of the possibility of such damages. Further, the State of Delaware does not accept liability for any damages or misrepresentation caused by inaccuracies in the FirstMap Data or as a result of changes to the FirstMap Data, nor is there responsibility assumed to maintain the FirstMap Data in any manner or form.</SPAN></P></DIV></DIV> -75.792769 -75.030154 38.45032 39.84187 Esri ArcGIS 13.1.3.41833 1 -75.792769 -75.030154 39.841870 38.450320 For planning purposes only 20200304 15101700 1.0 PLC_LULC_2012_SP 002 167809.074200 233081.991700 50053.638600 204472.359400 1 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_StatePlane_Delaware_FIPS_0700 <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' 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20240716 15430700 20240716 15430700 FALSE 150000000 5000 FGDC Enterprise Geodatabase Feature Class dataset EPSG 4.5(3.0.1) 51930 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dJofiFp9MjMtsy7RtUluWA71pf2zH/zyb86y4rZpJvJjwT7dKtf2Rc/7P514tWNFzb2uenSoxp01Cbu11OVAs9O8YNeXYdYZm3RMpPyseua7S/uvsckMm2SQbTkKePrXP6/pCix33iEquSrKfums7S/Fthp8VrHI88vmqBMXlLeWen5V2OLqOOKppylFctr6Nfp5nmU6Kw1aVGy5J3a7rv8Ajsd6DuKuG+UjpUgOKprDPJO0kcytbuu6PgcH0+lW1jYHlsiuJ5k5VHTq0/d7p3+9aDjh5bxdmiWuS8e3kEekrbSM++UkoF6Ej1/OukvbqCzti88mxT8oI65PpXn9tpUw8VyQ3TT3lntJSSbJ27uetZYdwp1faSTtG8vW39I0xbbocsZ8sm0uvXrp/wAAh8I6fDDcQahc3MaRucImfmznFekOsCOHkRBsHDsBx+NeVS+H9WsZ57i1tJCYJMRgKSJBnivQdU0mXXPDz2ly5jlmjG7bxhv/ANdLMZqpiVVi783WyVl2+41y3LlhqcVKSSla73d+r9NrfcVvE1jc3dp9vsLgB448r6HnP9Kwz46sJ/DMkF+B9vaNkaBPXsa5q2m13VD/AGNZ3dxDYWw8ohVwRjsTVwaHHawNbSqkk2MGUjLH8a7sFlssXWVLn1irr0vqfRxwWHwkpUqz5m3dJJ6er89NPxJNP8IarrltBcyyxxQMvyHqcV3+laHHYaVFYzuLkR52sy9PaovC37rQoYTwIyVX3HWtRruFLlbct+8YbgPaox2IxMKkqc3bkfT/ADPNxVedeTg1p2OR1ez+zaoyxIdhAZQKvXGpWur6dNZXh8tZUKH2z3+tdIYo2kEhRS4GAxHOKw9R0u3SaaeTy4oXT7x42t610Kvh8ypQw2Mck47ST11tvc82spU5+3o2VlqujseRazps2nXX2eC886aDDpJGMZHv7irvgHxI+n+ICl9dS+TcDb8zZG7PGc13F1oX2vw7foBvcndE0Zwdy8jn61zXgrwrY6pqstzfnMkAVvs3bdzyfy/WsMZGEZ1aHM24WXN3TWj/AEPt8DmtDGZZOWJjbTW29/L1f3HoOsalMQbKwtPtM7qGJc4RAe5NV71rXSrQalcxFrlI9uQSe3T6V0PlrsCAAKBgAdqyNSsbTUHS1uZDtDf6sPjd7GvEU2q8IVtaUtHbzPkcROboOOHVpLqQ2KW/iLQo3lhURy53AfXkZrK1vwraabpM11pkbLPH820kkMvcY+ldLBHaaNZQ2sbLGgO2NXbkk/WnSTEDJ5FaPMf7Pr8lFuzeivpbZHNTwrqU4SrJOSW9uvWx53p9npktr54hHnNkBXJ4bHTFbqWsPkhPJQAjkAcVWbTRY3stzHIJIZnLKD1U1eRg6hh3r6SvN1YRrwbtL8H2DB4anG8alNRl2svvMSO4/sOeS3mVzasd0bgZ2+oq9Pq1vHbCWJhMzcKinkmrrosiFHUMp6g1Xi0+0hffHAisO4FT7SjP3pp3/P8AyNI4fEUk4UpLl6XWq9O/kc+NchvL0GRPKITbgnPOatCaSQZgt5JfcDApbK1hs9cnhkiQmXMkTEZwPSt+vW/tieFpqjRirdH6nDhsF9ZXtMRK8k7P1X/AM7TYLkXsVxIoiVOg6k5GPwrYuTvYPnJ6E1BTt52bO2c15lfGTxLcqu7PaoUYUYckNhtFNyPNI9s06uSUeUuLuFQ6sitaxytZyXHv156VNV2JRcaW5U5aNs4x0qPaKnKLM61Png1/wSjHg2sWVIkK/OD0FY8ekXMRkEdyFQuWUFc4zWzUscwjXHlq3PUitY1ZQvy9TOrhadRR57trzt+Rb1VX+0byxKHgZ7Vk3N3DaRGSaRUAHGT1rNstVv7e4ay1CcXKlMKE5KEdDXJ6lLPPfyCUuW3YCmt8Lg+ep7JvRK9+54eJ4gVGlaMHz7WfQ9B03WIxGtzGQA4IAfiuthkE0KSKQQwzkV5HotpIXzkGTONjHBQeuPyru/7eXTtKBuI2by1wSCOfpXDjKF6zhSV7GmBzKpiqbqVIWSWr/MPFet21lZPY7DNczoQsa8ke5ry2KwH2j/Sy0EY67gRn6V2GkA3cs11PG4cyFozJ12npWy2hRa3A8UhCgdGA5Bruo1IYSDou67v9VuYvD4rF03ioS5XZqK8v82P8NG+udJECLJb2yECKR+rLXTPLHBGWkkChF3Ek9h3rG0Z9Q0+3Wxv4GcRfLHPHghh2z3qHVjeahLJZiyZEHKyFwA4yMg+1eVOlGVZq6Ue9/wBWdeHnKGHS1cvPuVobhvE8s+xCIYWzC+7GCP8AGq+o6FfT6jbFJZfLjGZPMkypPsK6ixSC1so44kEYAxtAxVLV9Yt9LtvtF0cJ04rixmPlRqOjhV72qS3fn6dzWnl8sXSjRqNt3vp59PQvW92ryC2IYyqo3HHHT1qLW9SGk6XLdkFtmOB3rP0jxNp2pSRRwP8AvJRkKcZqzeW1p5txcahJG1q4Hyv0GKeFT91YhNPt1fex24jCVoKVP4ZW0v8Accb4jnj0W3OpRw7YryQM0aMAxJ7kVz+u6y1vYK9nKpdyAT1Kg03WPDk95d3lzp5e5tEJdJS/y4HOBmscRLOFimyoYgNxyK+vwWKrKhKipLVbLv8Anc+owlOlTjSqSlzOPxaenTy1L3h/XNTkvbfybliyyAyKzcEV6nqNrfyatp1/auWiDASJjov1rgtMsdOs3MVttaVRksevNeg6ffTzabC4CjynCklgAVA71nmFOpSw6lvJ6O+2q/PucGZOlVrKthklHVff/WhqTajZ28ywy3MSSN0RnANcz411+70yC3WyK7ZwSZMAgj2rL8XaJJqF7HfaUj3Ej/6wJ0BHpVay8WzQXK6drWkyTXMTgglR8i4+vWvJp4aFNRq/F3WxzYfBuSVSK5rbp2F8Oa5JNpeoaZMwEhhkki4wScZIrM8BaxaWWsyyXMiRLIrR734wSRgfjz+Vb0dpb3fitbyKMoJm+VSQMcHP6Va1zwboVhpWo32x42ZN27dwpyMED612Y6rTlGN9Oc2wbw1Bzw0k0p2tbpfdfqjsbaWSaNnki8v5vl5ByvY1G1jZPfC5aGM3IHDEciuM8NeMy+nx2V2B9piAQOW4cH7p/wA+ldCsN2bwSFuepbPGK8ipQlRa9o1HmvbXe2551WjKlVnTeliXW7JZ1jnZA3lnIyPun1FZwnOMyncqfNzV6S7nn+0zhH8iFcbGXG/1NZ9vtkjWTHB7GoxVFUcI6tRWV7XW99yVJU5ez+1a5zI8RwSWU73fmefHIAnPBywGPyrXs7+xkPkxtOZAef3Z2g/XpWL4p0+GC+gu4I0ETuFZB2brXQWFtLa6fudgFncuqAdsDvXtxlF4JSUvdb0R5yxTrYhQpq0k/ee+ltvw38xk8twl1AkUQaJifMbP3as1XvbtLODzGBYk7VUdSaqtaXF9tN1IY48cxIev1NYqCcVKWi/M9GpiLS9nCN5f1uxmu3NrDawSxn/TUf5CD1Ga0Ledbm3SVPusM1QOg2XJVWDY4OelNs4ruxgaSRT5Qb5hnofUV1woU69Lkpy95d9L36I82NSvh8TKpWjaEu2tmurNaioPtcRj3A5PYVA146MwdR06ClSyvFVL2ja3fQ7qmOoQtqWYvmLSepwPpUtNs5IJLSPCPuyd3bvU7xY5XP0PWqxeDqKcpRs0uz2RGGxVNxSejZFU1rqC2VzHGyMy3D+X8ozg1DViybZeRtjPNeba+yudkrcr5tivqpaw8x9hYA8Ad8nFV0vIXUHPPcelbs8tpqO/bIpCNtOeMEU4R268Yj/SvoMLltOpSUqiab1/BafeePUx84ytE5LSNDW1xetdGSR0zgj+tO1TTUlsfMhtHa9klUCQchOetb819CbZkFuka46jtWVHrtrZ3Hnm+LKqFVt0GdzHpXl/Wq1WXPGGv9aaGv1bBYako1Ekl0b3/UpPol1pMou7l0aeQEtIh47VZ07SptY/0m6DGyiYlEB5lP8AhV62sbK+WN7wXMsrD7jP8vJz0q3LqGY2trdRDFH8hVeorKpiZtWXxd9rehVKDlSjhnBRhv5y9f17lK/urazUEghj91UGRgVmReMrWwucbJDj7wGMH9ais4tQh1VbGSA3VkzFg56qD15rE8UeH20e8MkWTbSHKH+77UqM8NKr9Vqv33qtd1/n6ntUqEHLke3T+uh6EnirTp4UljvYYwyghZM5Hsaih8W6Tfu8YuTA0bAbnHDfSuB8P+GZdZuCkjmFNpIOOp7U2Dwpqc+rvYCIqYz80h+6B61VXLMIuaFSVtL/ACE8LhnzR5tj0yW9/wBFkntlM8qj5YgcF/pXm3jDVNW1yyS3fRZraOOXl2bOTXY2umzWUYt0uTJPBjgn7w9q3JLiC60rfOnmBDiRcfdP0r5z6tQw8nXpxcuXr1/pmdHMFgKjlGCbWqk27fcjyOz0jUtKvIJdHd5rk25k8wD5VI+8o9xXbW93d6/4J1FdQtpopoIWRiesjBeSPxroY2gsbFHs4oxGfmVe3PJ/nWF4j8XrpunPG9qrNKNpVG5APfpW9Cf1+Km425X310PWeOq4+UEoJzurPr/wxwN3qN1pvhC3trSZlhuJXDh/vjBrWs9Hn1fwza6g6MjR5jcgbmfkYOKzbryNb8q3WMw7Nzrg53NjPNdr4G8RWL6ZHp3mqLpAWdCOBggV6mJl/Z371R1b6L7zvxlZywnPSheXM2/x/QwX8B6+mZrO6iiDKCd5IJx0H61BofiC40vUIoNVG5RKY5ecKPRvfvXpmoa/pWnwK15dxosnAGetefeI9Mi1W6VLKVFs2UMWZfm3ZP6YrXD16+LTpyvrsuhwYXHSqR5cXBKnb4rWt8+pq+K/F1rodk1npgSUzg4kjkztJrzmTUtSvtXllvZHM38eeCK1L/RLR4XubaRWW1i3SjONxHp70vm6f9jLo3mXdwgJL8tzW9Cl7Kpyc12t/wDgno4WOFhhm6UW21ZtrW//AAxFYXV5p2qW968khVG3KjZwR3r1J9T0/wASaJNallYzRZaLPIxzXnlxHqepQwy3UBS2gXaH2bRjr+fFdtomn2uiaO2pzjMrR7nfHQegrDPpQjh4VE3zKVopa3b1af8AXU+ZxU19Zi18bWtultvmearpktzo7ywNsntZ3WPnBZR2/D+tdF4Z8Z6zeXcFpceUwDhGJXBx781kNBa3M7zS362qW8hmkh5y248bfyFaNndaSNDvLy1s5FvpSUZi/wB0Ho2KqWEpYqyqQu0uvT/hj6PHVI+waqLm5n7um1/N7p76HoWs60IIraJXRRcSeXkDOau3lvEAgTarAfd9q8b027urjWbO3ilaWUSAorNkL716R45tNRn0P7bpc7x3Ft8zKnVl7j+tePmGFShHCTqc09Xf56f5HiTwCjUp0pPl5r6v8L+RW1DTkkdrgqZWBH7tj8v1+orZh+yX2kq9vIHeFMEKclfYiuE8G6te3Njdtfymff8ALGW6qR1qN57zQbl7jS5xF9oOJVYbgT2/ma9DL8vxUsI4ylfkkreltjzsRgqWAxFZ1JW5LXaTd27fPqbCQzajemacmOK3kxGg6k+prXrz268X6tYao6TpEY2YMx2EFuBk9a7mwvIr+zjuYXDI4yCK3qtt2eltLHXLK6uDpqrNfHrff0T9EWaXJMbIeVbqPWnfu9g5Yt3pXRVUYbJPb0rC5iVRawq2QgHOaU28Rk3lcmpaTcM4zW7xVZaOb7b/AIGf1en/ACrvsL06VJE3zbSevQ+lV/NO8YjLp3ZT0qdZyrr/AKOhUHn5ua1wycJqpzKJlXnGUXBRb9B0sZBUhcbhnHp7VKm6CNvLANww+XdwB9TTbm+OV8iImRzjJOAKWZpILRZJ4/NCofMVffg17FDD4aNSVeErparsjyquLqtKhJa9fMz7mDz9KniMirqZQyvHE2VJyO/0rnI4jLGrm4OSP73/ANerxtxF4u0+ezEptpgUkQ5IGRWDeII72eNOFWRhjPvWuDxrw6vUqKopJO97WbbTXysceMcOZtQcWna34/qbmuXck9xHpcD7XlPzt6CrWm6PDaWqJLFG8qtnfiuIe4mknM7SMZSc7s811fhzUr/UbuO2aBpYxw0ij7vua8/EYapSoJQei1Zjgc0w+IxkqleL5npHqku1v1O3sYmOnu0RCykna2M4rkRqUdjqVxZ3uUmaTcXPQ5//AFV0+p67YeH2gt59wDgkbRnGMV5nruoLq+uS3CHEbkKpI7VhgMJ7Wm5TWj6nVmWcfV52pWck/wBDuk1GK1uY08xQ8g+Vc9aj1KAanA8cxzu6e1VYdMtmt7XeokaFQVfNaFee6VKFVVYL3u59BQlVkm6iSvtb01uWtLEenaRFLIAZIgFdwOfStaOYXMO5DjeMhu9YKMuCjrujb7y+tbtuIFii2OqoeFFeFmGHqqp7SF25PXXS3Yr2cIQUY7r8ihJYhrhnVWVguSx65FUbF55fETMmFgmTbNGRwSO9buqW801o32Z9sg9O/tWXYpdJpkZgCrcFypLjp9a9bKqE5RnCcrq1l1t6nPiFF01VnrZry9PkQazNHpUCRRLviXLdckc9K4vV3m1O1NzaQKLjIUCRQflB966HWbSazuA9zKrtINxcDAzWcrBzhSCfY19fgMiwlPDcznvrfa19+p62Br0sPGNSLWi+Ry1jpmqNEqlVgbvKeW/AVt6fpFtp8beUpMzDmQ8k1fqa3k8qVX27sHO3HWuzHYGhh8K5Jc0ul3r8j03jKjvyqy3aXUy7jwvfahoEX2qVVl84mM5yxWrul6DNYQuJ7tpQf73YAVDq3i24My2s9iIGjbnPDAVozamp0H7XEpZnTbGnUlumK+Rg68aSqVY8rfnf0ONZrXxNqMGrN7W/U4jxBqtoifZLOJWUksXz3zzWZo8zRMkyqu6JwVJH413+i/C6GWxjuNXkk+0uCzRKcAZ7fWsLw9otiNQ1IX8jRR2c5UQFsF8H7tVTxkXU55a+SPdVfB/VqlDDtvktd6u+ttP6saFx4xuL63aK5iXaVIAUYAOOOKlHimK48NwaPcLIGkO0SIM5A5xT7y8tdStZLDRtByG480R/MPxqKPw9qWh6el7LZpNJF86LnLR+pxXYqVOVBU4rlnzJpNr5vU+Axn+xYyniFTfIlK6vr5elnY44xXB1KZ5bZTvbjzAcgDgYpPt0thfNE6NGki7JM9Spr1iXTLfW7Kz1wMtvL5Xzjs31rhfFMUFxcwlocOg+96isaLlNSpx0knr63dz6fAZvDHVo/WKXuqOjXTtpf+n0OXimuNE1eO4jbMkTh0Y9GHUH8a9w0vxLY32lwXefkmGGXrtPcGvHrq3F5ZbVH76EZTHdfSuo8HywPoipEArqcSDPf1rkr5RCviYuTtb8V2O7O61PEYKOIcffi7P59/L/AIYms7eG31XUJbJXSxky6Bh0PtWYklubqb+1ppIiFLRZ4FbmtXL2lmQiHdJxnHSsrWYF1PRYbyQEGELtk25xzjn2r3Ks/q9HlpbHw2Cwks1xyo4ypJpat976RXy6bia/og1jw9aarYM0jK/luPT/AD/WtDwtbrplr5BZyXOWDHofatW11CPSNPggnUS2lzgO44C8dauGy03Tonvby9jNuOY8N1z0rmoVsK4VZ4v4n8Om/p5rrfoe6sxqSvl/tOZQ2VtXfVEtFICGAZTlTyDS15BgFRTQLNE6Z2lhjcOoqRmCqWY4AGSa55tUv728kOntH5EXykMPvVtQoTqv3Vsc9evThanN6yv/AME2NNtTp9kbUymXLly56n/OKtVBHOCql+GwM49anByM+tVifauXNUQYanSpU1TpbIsWqrlpHXIQZH1qqN8F7LdxO8nmfeidsrj0HpWhAqwwMZWGGHSqRADHb0rrdWphqUFB2vq1/Xkczo0sVUk5K9tmVbLWDFfyiaA26IrOCx64FcPdebe3ctygRRKxbCngV3V5ax3llNbyKDvXCt/dOetcNd6XcWdw0O4HHIOcZqsslQUpyqbvp0seFnlHEJwTTlFdVvfzC7sUh1r7IoYIZAo9cE13HhK4e607yobcxeXIVYqMAr9e5qvc6TFdX1vdltkkTK3A4ODmuu0u2trG28i3UIpJbHqTXLjcdCdGKau/1OjC5Y8LiZtrRv3fTsQ3+gWWopGLlN/l52k9eRXFf8IglveM0wcQ7jsRjyRxzx+Neg3sTXNm6xOQ45Uqe9chr1vqcFnHd25aWfAGx+oP+FcmDxFSMLKpv0PWp5Vh8ZXUqqV/Pq/MsxxrFGsafdUYFOqO3eSS3jaaPy5Co3LnODUlB6Cgoe6ugVZsXhS6Rplzj7pP8JqtQSAMk4FJq6sD2OkuryK3iyxyWHAHeuL1nVLrToIJoRlIpt5yf0NW1vYJpTGs6u6jkbugqK4g0rU9thqFwV8wgoqclj+FVh1LD9L7Nq3Y83FUKFai1KfL5721NOV4vEOiw3VuA7Efdz0PcVz994cNrH5nl+S3UOp6Gs+eCTRL1zpd3LGEfiNlYBv0rpLbxNa39v8AY9UQ2s7Jg+YMDNdkIU6lVV05W2tqvvX9I+Wp1KFeslirq2nkc/al5YAXI8wHDAdjUGqah/ZxRFRmlcZU9qqWN1OusuJlAjclcjpkdK2blbVmSSZ18yPO0Z9ev8q66uYVKuOp4So7x1af5X9LWPYp53XoVPq3NdK+vV9vwOb8RXbajqUcnkNHJ5SqePvH1rsvAiQlGtJ1LTw/OAV4XP8AWptE0mLUrlbqRA0UfIYjrXZJDHGcoiqfUCuLM8VTpxeGj/wx60FFe8ne4+vMvEWkRWF3q19/Z8s8a3KTgj+IkZb6jr0rudX1FdM8u4uJfKtRnzGxmvG9X12Z5717W7u7i3D4glbhVB4IP4ZFeLQTvdM9/IKNSpUk4Oy0T3S3Wl+/+Z6x4a1CLW9Oh1S3RraEbozCQMHHeqFpeP4k1+eMt/xL4ImVgp4fcRjP5N+VcJa+ItRXQfscS/Z7ZhtWNFw7/j7+tdT4GmaHSbxLmN4LmR93zYwRjgCuqtSnh6UqtrvpYzxWChTVapdaNrlveyff5FBG/szW7/S4pWNpG26Jc55xkj9aydavLrUnzJasNmFD7TnHaluLHVbjVru7CeTsbcGJ4OK6Lw682tKyCBQY8B37Z719FisK8PP66pRacYc+uztvpvf87nxGU46WDxE1GGknpe97eRg6T4fmZ0nuAUwcqg6mt8Wlp4fh3PEtssh3c8Fq7S002CzXccM46se1cz4j02DVb5Lz7V5kMQCiIdAwIOf0rzKWZSr1uWMdD3pV54iT+sT5Yvoutjl9avriLULNcbbOWRVd+4z2rTvNZsrWWOyRFeM/K+OiisXS5n1UXnnkSRrIcR4+Zahlt4rudIrb5Rz1HJNelRowxcnKctuhWfzrYClToYflU1brq9un639DsJ7OO409rfAKMvye3pXOWmxoZLGdPnT5XVu9b1lvtbWOJmL7VwSaw9VsLn7W9/AQXJyVHbHFVgqywFX9/blfX+tjiq16kasMbSheS+JdbdbeafbzJrjW20u2jtYYslVwrN0AqxpOrXl9G5kMKlR8objdXK3FzLcShpudv8PSt+21BZtPjSO38oQncHHQY55rbF0cIpOXLaL69jxIZrXxmYt0pPlb0jbf7i9fTXV9aNbx7Iy3Vs9qj0nT5LCKRZGUliDxWT4e1i61bULjz9u2NTgqMZORXT1z0cRSqV6kMOrQSX363/Q+lzPLFQrxqVYtVEu99A71pW0ZlIz8oHLZ7Vmg4OavW91NNZXAyu4Njp/DV4ulF0nVl9nW3fyOSVadGnKUVcdM6zzM6/c+6v4UlIqhVAHalrwOaUtZbvX5s78LR9jTUXv19SGe+gtFbzlbhd2cHH0zWNfC2v51nWR1BQDGRW48YkUhgCDwQa5W/wBIklvZPszxwxqcbS2OfWvSyupRhVbqJ7dzLGVaUKf7ym567I62pBPKGVg5yvSs+HVrK6kZYS6EdVk61ZjkSVdyMGHtXmO1+V7mlHFUK9nTkmWobqW23CKViG5IbnBqOSR5W3OxY+9Moosr3Ol6u7CiiimAUhAbqM0tFAFVtPtHJJhUE9SODRFp1tFPHOqfvIxhST0q1RV+0na1zH6tRvflX3G/ZNHeQB5IkLrwSVHNY2rW0M17IJIkbPqKl+0mOziSJyrZJbFU5p1UGSaQD1ZjXPSpyjNtAqUbu60Zm3eh2k8JVE8tuoYHoaoaP4ca5vCs0pc+voK1P7ShljLW7ebweV5rW0nTPtFnaahC7wTEbjnuCeVI/Cu5Yt4WzqN+987efkjkxGTYZt15Qs9l0X3GrDpMEESrbvJDhQuUPWqVzb6xZ+XJbXQusNgpIuOD71uDgVWuLqFJPs8jFWdMg9q8eVWUpt3v6kfVVUVldPyOA8aeL5bOzbTpoLWS4f7yq5YKPyrC0azk1DTFW7t4o45G8xdox9Cf8Kx9VhbVfGLWoKtGJNodDnKetdTrgX+xZoo5PIKrlCDjp2r2aFOEacqijzKOtv1+R9dWowwdDD4KErTqNNytdrt8y2vh2902cQw2Qn80/LI7/eIGfTikt9K8R7vtaRKVZ8eSTyKZH8Sxb6dYQpYtcXRjXc2eAehrtrWa6lhhvHQsdpJC8ccY4qJ46so8sox/z/E+YzHIcVKftsVUkrt21XQ5uTw9rer2cjyypZEKdkS8kn3PpVDSX1jwmzQ/2fJMspy/s3qK9KRtyK2MZGcelZGt3F3bWH+jpHJcyShYlPT6mt8HmdTE/wCx1IRcJNabP1utdN9WeRiMDGlH2kZPmXXc5fU/El3eQGJSEU/ewMH6UuiEPYyI3aUE/TFYl9a3tjqq29yUfzmJLKMDcxyf1NX9MaeK4YsD5RGHP9a9VYbC0MNPDwdmtbt6tX/rQ8/C4pyqXm3ddytc6/pGgXqw2ltv8+b95KOAOeT+FaS2ltHdSXEIGJMEcdKs6pouk6mtjLLGsbQSZYIPvZ7n1oljSKQojBlHQivHy7AwhWlXTd3o15/1sfWY6rhq1Ok4RfOr3b+5fgMo60UV7coxmuWSujhTad0ZWo6NFdgvHhJfXsawLgz2ts1k6smSdxB+8DXaVXurOG8j2Srn0PcVwujOguWK56f8r3XpfdeT+Ry4nBxrS9tRl7Or3Wifr2fmvmRaJoFppuhx31tJITckblcdDg9PartSCZhp9vZAARQDC+pqOqwFFQhKVrOTb1/D8D0K9evWaeIlzSSV2FRWl8wuXtI1DHILcdBmpaZoQN19ulVACJtvuQAK6cTWVPDzur3OZ1FzxpN25n+WppUyXcIXKDL7TtHvTzwcHjFSx209xEzW+xnX+FmxmvnOaMdZHq1JpRepxcfiK+sZmhu4g5U9DwRVWXWr65kaRWVRnAAWk8SRmPXJ0KlWH3h70mnQeZbFsfxGvpqdCi0qiitT8+eKxlSo8O6jtFsfd3H2izS8H7uZG6jjI/rXVaQIv7PjeIkhxuJJ71k6fpkF4Alwu9IVAXa3De9b9vbRWkIihXag7V8+3S9iox6NteS7Hs8PYGpGX1mSVmtO5LUc8yW8LSyHCqOac+9U3qhZVI3Edh60OiyIyOoZWGCD3rJW6n1Mm2moPUZBOs8e9DkUpnjWXy2OD79Kz4v+JfM9rGuIz80ft6itDCzw4kQMpHIIrGlVi5um3do87BY2VZOjJ/vI79t7ECahBLceTCwkbvtPSruxvL8zHy5xmseGKK28R4jVUDwHgDGa2N7BCmTtJyRXZW5OWPJG2n3nThK860Zc6ScW1p5DaKKKwOsK4L4gXVws1vArMICuTg9T6V3tcn4l1KwtJ1ivYVnDMGCEZx71rSSd7u2h6eU8yxUZxjzW6HKaImt22oJZ2jPbyXETFRJwCpU8j8K9hg1a30PQIlkM032eMBmY5Zj9fxrmNIvIPE+qR3VvGWuLdNoYjGxTxW1rmk3P9lTIu194xkduap4Ln5XJpryZOcZlHEV40a0ORq115+vaxtaLrMev2LXMCNEquUwx+n+NXbq1W4gZHYjKldw6isLwPYTafoskU4AYzFuDnjApnjDxaPDQto/sxmNyGHBxj/Oa8XE4SlLESjBXXqedToTq4j2WH1fQ4Hwloo/t+/W3y4imeGIt1IBIz+VeiS+DdNvVj+3oZyhyBuIH6VieANLXdPqkoIZSVQk9zy/6kj8K7MalZM+0XMef94V016U6lS9OLbiraXO3NsxmsU3Gdn32e39fO5hWdj4efXpbG3sI0uLaPqBgYyOK6XKRIASFUdKz5brTLSGbUwIs4O6RQNzY7VwV18SEvr9Yra1YxKfmZ+MD6VjXpVpNKnBt7a9+pwfvMTCVbmvCCu23ovv7nozahbqcbs+4rM1Sf7bb7rM4uIDvj3dG9RXN2viizvbv7PGcMRxu4zUWr63Z6fJHHcguCclUPOK68pw2OjioKpTcZ3TSt09Ox4VbMcHKjK0r9CHXtYs7q+tsOM4GSVx5Tg9DWgGhhuLuzZSZYLcydcZPYCudu/tfiHVHOj2ivEcSyYGFfHPzds9qnutJ0+OMahrN/LLdXBJ8qE8/T8K/Sa2VZfVqxVVe/bbdp7ptLbra589aTk6lvnsjWs5op9PjdX3A/dJ6gehrJv8AXHs9SEPl/u1+9nqfpVOzXUbe6Gm6crSvMNyJIP8AUr6t6Ve8SaFdW1jDcTussyDDuo6ivkpYilRzCphnJXb07u3fzPvMDhIxw9GdbXmXfv8Ap09TVgnjuIlkiYMp9KkrjrNNTsLRdQiif7KzYJx8protP1WC/TCnbJ3Q16CaZjicHKleUNY/l6l+iiimcQUUUUAFQyJNG/nWcpimHp0b6ipqKTSkrMipTjUjyyHm7bZJLOibnXLY6A+1ZWn+MI7e6TdZq2HwJNxBAPFN1mSVIowvEW4FzVLUE0eax8yzX9+eiL1/KuKtRpOXLODadlp9x4OY4qrCry0nbltvu/QfqS2VxcXlzcG4nuA24tGRs2nv0p1lp11LbCWyKJA5yqvyRWLFd3ezyIS3KlCFHLDrj9K7XRI3i0iBJFKsByCMGnWnUw1Ja63t8vQjJ6MMbiHzprRu601v3M9Y/wCxtaXbu+yzjB9EPaugHPTn6VXvLWO8t2jkJUdcjtVTRrS6uY5rqS8litY22xbPvSH/AAryZzlUXM7K349vmfQRnVwNb2EIc0ZO8bPbv8jRldlhYZwuQWHqBVW51SztYt8k6c9ADkmsi80+f+0o7S31CXMys0m/sOK0rTw/a2+f3fmuo5Zua0cKUIpyd79tPzKji8VWnKFKmotaNt7P5blPUdQtTBDeRzDeBxH3bPapLfXYWEcfkzAkYH7s1P8A2JZq5eOIBs55qOZ0twzPgKgyT6VxSjepajSbeut0tPxPGxDzDDYj2qik5aaap/f1LGoWW8xTyxMjIflf0qraXl3BGVuV87B4ZTzirdjfNqenxTw3BMLDgEdKrMTkivWw0IOnyqPPfe8rcvpZfebYp4zB1vaTXLJ77eS2L8N3DOBsb5j/AAkYIqesqOymug3kg5HcEA1De2esrZS/ZTKZYyMk9fwroxOV04RdSnUXKlrfdeR62AzGeInGlKOsna/QSKwvLvxVKqb/ACWA5zwOBmrmoaDYS6yIrm2WWFNoYkc4pmkeJ4dKvLiyvraU3cW0SSAdTgZp95fJreqoNHuCksw/eCQcZFcMFWqTWnuW36erPWxGavCz9nHdK3Z69Ve1/Ly1NmNIdPltbXTFgijCgFdy7iv061sXUkCQMLiVERhjLsAK5TUdGg0PRDfzzNJqCMCr7urZ6fSqPnan4qNiRYMtsj/vH38Gt/awlCMoWUY3Te2u/wA/I+Tr1asJtyTcnr1f3vubdl4j0/Tw8ElwJQXJQxjdkfhXC+MdQOt+JY51RjYW0Q2tjgnqfx5/SvTbDQ7LTwSkCFz/ABFecVy2v6J/aF8y6Mibox5k5B4yOgA9etc8qVBz9ta1/M9vJMwxOHr89SKas773WnTXfoXNDNrqVtZ2FoztFBHunYAgFzy36k107aTZPEsZhXC8A96z/C2nHS9GjS4AS4lJeTPBya3AwZQykEHkEVwYnG1IT5KMmox2169X8zKknWTrVl70tf8AgGW+jhGb7PsETfejcZFcXB4TktPE8Mcem/6IZC7ucEEc16TRRDNa8U+azbVrvf7xVcKpw5FJqN02ls7d0cx4n8OC70hU0u3ijuIpRINo2kjuB+lc94X0S91HXHvdTtnihtxtRJU++e9ekUnbit8PnVajhpUEk27pS+0k90n5mc8BSnWVXt06GSYpLLUba2soljtSuWVVwBzzXPazpVtod5NrsV7GiyNgpKNwBY84rrmnOxo8xm4Ck7Aa8cvdA1a8hdHYR2/mGRi0mV3eg+lbYDGYtVG6K5Wo+87fFdt3d/z/ABO6lgsFVT+t1eVJq3V/K3+R1+kapNb3TTXkEZjuBiO5iO5evAJ7fjS61p2pa1f2P2RytuCxlct8hHHGO9VreGJPDs8NrG48mPJcjIYZGa7DTAq6VbjHzbBXLxPTp0KtPMIvlnJfK6S1X3nFlWKq0K7pRXMlfV+ehxeuS6zoumDT0UG0BOJVGflPY1xKO0bhkYqw6EV7hLDHPGY5UDoeoIriNd8FRqxubJ9qE8qR0rfJs6o46PI/dn27+aPew2Kp0fdqK1+vf1MnTPEAbbFdnB6CT/GugVgyhlIIPQiuLvtJk0+EPK6ks2FC1WS+uUh8pZnCema+huOpgKdf36Dt+R28F5BcsyxSBmU4I71PXniSyRvvRyreoNd7aOXtImbqVGaEzixuDWHs07pk1FFFM4BCAwwRkVALK3E4lEahgpXpVinxpvbFKU1BOT2E6UajSauYun6BcW+pR3Syp5asT7101IAFGB2pa8DE13WnzM7MFgqWEg4U+upkXct7qKtBZQOIcgSStwcd8Vtu0ccMdvCNkES4Uf1phJPU5pjrujZfUEVnOaklFKyQ6WGlCbqzlzSf3L0MVZ0u9VFwuSqgopH15zW4CccHrXKaKSJbi2VW3q5bgdq0rObWLa+SO5gW5tGJIlHylfY13YvD8kYpO552RVXXjVnNq97/APDehuxiLD+bu+78oHc1jarpBv7KS3imMRk4JxnjvXV+fY3MQZ4ymz2qtMLGRyyOyDHAC968ynXnBtK6uetHklONVx1i7ryOa0zRodD+0QLOWtS4MRduenNOlwsjDoM1p3+h2l3EHvb0mNOQsIwc/jmsjV9KhnDfZXvWkJAWaTAiP5V6GCrwha7bvpseRmqxOPrNxheW97q76PQ2PDZjmvnYRyt5fG8fdB960NM1k3OrXsUskQt1kWKDC4Z25z/hn2qrpL21hYxaTDcAyPzJKD3PX8a0rPTtLF8lxBiS5hj8sNnoMk/zJrizNNTcql1fZeXc7MupQw2H5a696S+57/8AA+8peLdC/tLTJJbWMC7Uhsjgtj1rnvANlcw6jcXMyL5JBQSEj7wPOK0vEetX9y7aXp0EsNwp3PIeFx6A981Q8Lx6i1xFpV/aGK2g3OWOVJJ98+tOi5rByg2rfjY9X2DVF+0Sv072K3j3UZL2f7PEf9Htmw/PVqy/Dfiq50OQRPmS0Y/Mh6j3Fa/9lx69cJFFsURXDC6kBI3emAas+JNJ0mQ+SkDQywwmTzYh8pVcZB9+a1li8LRhHDVItp+W3mysHGPs1QqRvJ3bt+H4Ffxv4kkeysZNMuiizN+7MZ+bd3zx0Ga1PBkEtvodzfs5eSdyFOc8Dg/+Pbj+NcJqVxaXhWTT38y2tYR5ahfuM3Bz7/8A1q7Lwa39jaLCr3G+FiXdu3NYVqTjSUY6p6/LsejiaUaWAUFG0k7PTV9fwVvvZp65Hc30UEtrNICiZcY+Ukf1rorKMwWUER6ogX9Kcs8LQJKrr5bqGUjuDzWbqlrdal9n+x3ElqYpN5kHcemO9eeo87SeiPnbRcuyNeuY8Wa1faNNp8tnF50bSFZogOSMcfStPU7TUJdNeO0u2W5O0BsAY5GT09M1S0jwy+nak19PqVzds0ezZMQVGSDkce1EI04+9J38jowzpwbqVLO19Ndf8jFtviJibyLzTLhJS2AVHHPSuykvoYkj8xwrSDgZzzVW3061XUru5MhkZ8Bo3A2pj04965bXLiW+1rydMG9IgFbaPlBye9d+HwMcdVdOimtLvy+8wxmMwkFFqNvR3u/QXxl4tttHtJIrcBr+dcKw/hHTNZOk3b3vh+GTUFYLHGSFBwWwOPxNLq+kHdFfX8FvIkcbK6oSTgc5/wA4q3JJA9jFbDy4AwyquhYSD2IxXbSyjMYShTopygmrvmWqW60exxY3NsHHDqlQpXqa3k+l+i/MpxapdroUiRtZpahCHjGfMUHjHua29B1sExWzOphK/KxPKn0rntK0tbeXfeQTm0Mod3dPu46D6ZwfwrbutL0q4yYUZJrhWdZVfhMdOB2r6jOcow+Z0PZTXK1eztov6/I8rKsa8Opc8bp6ea9DrlkSQfIwbBwcHNZviK6urHQ57iztzcSgY2Dt715fa63qultIlncF23ng8hj0zXqPh6TUpdHt31MJ9qZcsFHbtn3r8sxOWPKMZGVd8yvZW0d11t1PrpYfkpRxCacXbR9Vv9xzml+HNS1Xw8X1V1WeX5o024KjtmuM1LS7rS7horiMrg8N2Ne35GM1R1TTbPUbR0u0UqB97uK+3pVmlaWpw0M3nGtKTiuWT2XT0PEgMkD1r0GAYt4x6KP5VzF5pK2F6JV3TWitzjqBXUQuskKOmdpHGa7kmtzrzKrGrGDhsPooopnkhSgkHIpKKH5gWYpd/wAp61NUUMe0ZPU1LXz2I5PaP2ex6VJy5VzbksMSy7t0ipgZ571WvJ47eYxpl8Dk1JUAtU3szc5ORU0fZqTdTbsY4pYhpKg7FOwu1sPEEdwIARcI0bhR34INa80pmkLnj0A6Csq/wt1ZRglMycEfTpVm7uGtolZYmkJYLhR+tFS1SpePU48BH6u6qqSvZ9u6TZZ3MFKg8HrSUU55GcDcc4GAayPXI5RmJh7GtrR7ZZtJjDfd5zmuL1TVbzTQQ1usiHpIM4/GtRNYu4NPGyNViSMkNtzjjk1tUwiq0lTmrpu617f8OeZGosRinGl8UFqtt307nFXUkl34im+ySyeTHLtVl52/55rvvDOl6pp2oSy3biaGaJcPuxtxk9PxrI+HUunRw3ix3cUl1NOWYZwSvbj8TXU+JLue00pxaSKk8gwpODj8KVXMI4xSoyj76dvP19D0MVg6kMZ9Xjtfd6FqSPTdXXdIIpxC5GT/AAsOtZ9/e2+omBLa6V4dysTE33sHOOK840G/1hNXFtcxTM4JZAP9XGG5JA6V1/8AZln9ogmW3RZIG3x7BgA5z0rl+rTpO0nquj6HoYnAQws1GU79VbX+uhvWOkray3nmSRE3TF40VAAlZq+FZBod9p0140iTvvLA4JHXb7c4rlPEGqa3rOsW9hbSSWccbkBsFC3GCfpjNamp+Kn0+3j0p4zJc3CGPzN3QYwWP4VhUp4tOLir81r/AKPzKp4KtHllTknN6tdVbrco2NtBFFiK1SBmO0hcHdjitu6FzaWi28kAWJhkHHWodD017xojDgwR4y/Y4rt57eO5gMUqhlIr0sTio05xi1e25GKrwhOMZe91epn6LLbz6fEY41DRgIR6YrVqpY6dBp6FYQcnqT1NWmYIpZjgAZNeTXnGc7xPJq8vtG4bC0VTsdVstS3/AGS4SUp94KeRUphWOd7lnb7mCCeAKhwcXyy0ZnCUJx5k9DntZa4aRlXy53AIKK7Rt7DKkZHtXLwTSWWowxeYYYZWwbctkRPk5HPrwfxpdR1aW81sxaKHmjZtvmlTgPnn8K14dEWG8WfUXa4ukUlWY4VT7D1r6rBwng8PJYuy5ov3U7yfa66W37nzVP2uIxKcVez9Vv3/AKRJPE05SFYQ4cgHJOD7EelWYdNj0i+tjNhUcMEycqjHnAz04qazjkedWTjac7vStp7MTK6zlZ42H+rcZFeVQzZ4SvGMdUt0n3Pp8bRhVgoqKTXW2pnXWoafEhS5nhCsMFWI5ritX0i909Zb+1ffbOfkETEbFP0PSu6XSLDyJJrO1igmKkfKNvPviuasTJeLFpkjwvbpKS+WGWUZ4x3GSPyr63AZhRxsZQptwa31t91j5rG4acJKM9+lv1MPwfaabc6n5l1IPOXlIm6E+vvXpu5oo96RF2JAAFc9qWhWQszJa2cUc0bB1aNADxWha6/ZSkJ9utWY4wokG78R614eY8OSxOKjiqcnJLo+n4no0czrJcmJtK23TTsHiDW4tFtg8kBm38BAa5z/AIStvEGba2t3iUDL5bJNW/EMyS6qi4+ZIu/uaxrb7PpUs10sYG9TuOemBn+de1SwEqNCNe3NKO6ZyQrKU5R27FmSJ4jh16/rT43GAvA9KzLTXptVbyykaKvLep9MVdwSwA6npXRiKrqYX2042kehluHcsR7GUrRs/v8A6/At0VFJKsCqOXx94jtUisrqGUgg9CK4+WSScla5fNFyai72FqeCPJ3H8KhA3MB61dAwAB2rgx1ZwhyrdnTh6fM7voLTd6/3h+dOqM28ROTGuT7V5VJUm/3ja9DvILvUrayIWVm3HkBVJqr/AMJDpxACSs7Hoqoc/wAqKK68JhYVaLqS3V/1PjsZn+Ko1504pWTts/8AMoGO71Wb7QxMLIf3CnjHua6KFXMSByDJtGeepooryKWInWc+bo7I7skqSlRqV5ayb1/AqanqCaVHDJMrFZXKjA6Ad6tQypPEssZyjDINFFd7oxWHjU6ts7MLiqssdVw8neKs18yC+sIr+Ly5c+xFKLMf2cbMuSpjMe7vgjFFFYcztY9KFGnCq60V7z6mD4e8NDQtXke5NtNYyrjfKcOp7Ae5/pXQaiJrqZdp/djgA9hRRVYerKhW9rDc9DE4mpiJxq1dWOhgSFMKBnufWtG2tZdguQpIVgcdzRRWWJrTk+eTu29TiqSe5sTWkF3GC8a7sfK2ORXjfiS3k/4SG88qUXDRARK0YPyk8k/gB+tFFZ4GT9py9DpwFadGlXqw3jBtHrXh97V9DtfsbK0YQA7fXHNaZOBk0UVzYmCjWlFdGeLh6sq1KNSe7VxFZWGVIIPcGo7mSKK2kaZwsYU7ifSiis4RvNR8y6r5Yya6HmukS6pBPdano9kHtwDGQSMnnrj1q7eXviO6urRLxHtoySWMQ4AIPJoor3auJ9hWajBO11dq7+H13Pl6UJQw0ZRm7NXt06lqw04WEAwhG4kqxGCw9a1Le3e5fcxO3uTRRXi5nialKhKrF+83v6s+twdONLDxUF0NWONY1CqMAVILyKI7JXCnGRn0oor5vKm54q0nve5vyqW5VivlfUXTdmCRQAD60x4Il1VsRqvlxDy8DHUnP8hRRX3uVJRxsUuzPPzKK5F8ickDqahltbWSNllij2nrkCiivq4VJe1ce1jyGly3MOTTLprN4YFjuIgzCMu2Gj54we4rhNXudRgc2V3GYWUYYf3vfNFFdVablTn0JoQSqR8xNBihNw0skgDJwqk4zmt28kdDHj5V3DL+goop4eEZYazXma1pyhW0e6t95ZXBQFTkHv601WEFwmDtVzhh2zRRXXioqVB3XQ5sO2qqsaluuXz6Vaoor4DHSbrM+rw6tAKKKK5DY//Z