6c5902a53446c46c94272f3d78acb702 Busquets_Marcel_Poster_TFG.pdf dae2920ebea8339038fc2ec39c455cfd731dc04e Busquets_Marcel_Poster_TFG.pdf 4f5375fa2f92e19e73dfa3fc3aa1598146b9023160233c6edc1062cff68ce46f Busquets_Marcel_Poster_TFG.pdf Title: Busquets_Marcel_Poster_TFG Creator: Adobe Illustrator 26.2 (Windows) Producer: Adobe PDF library 16.04 CreationDate: Wed May 18 09:23:46 2022 CEST ModDate: Wed May 18 09:23:46 2022 CEST Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 1 Encrypted: no Page size: 1417.32 x 1984.25 pts Page rot: 0 File size: 1098912 bytes Optimized: no PDF version: 1.6 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- RIBZMK+Montserrat-ExtraBold Type 1C WinAnsi yes yes no 5 0 VEASQC+Montserrat-Medium Type 1C WinAnsi yes yes no 6 0 IQKSQC+Montserrat-ExtraLight Type 1C Custom yes yes no 7 0 APGHIS+Montserrat-SemiBold Type 1C Custom yes yes no 8 0 JLOEEA+Montserrat-Italic Type 1C WinAnsi yes yes no 9 0 PPMJFO+Montserrat-LightItalic Type 1C Custom yes yes no 10 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-06-21 02:19:37 CEST RepresentationInformation: Busquets_Marcel_Poster_TFG.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2022-05-18 09:23:48 CEST Size: 1098912 Format: PDF Version: 1.6 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 93 FreeObjects: 2 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Info: Title: Busquets_Marcel_Poster_TFG Creator: Adobe Illustrator 26.2 (Windows) Producer: Adobe PDF library 16.04 CreationDate: Wed May 18 09:23:46 CEST 2022 ModDate: Wed May 18 09:23:46 CEST 2022 ID: 0xa63cc55be42efc4cb74f2fe023524084, 0xe806a57719b75e429c1c2d7d3389c929 Filters: FilterPipeline: FlateDecode Images: Image: NisoImageMetadata: FormatName: image/png ImageWidth: 699 ImageHeight: 545 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 700 ImageHeight: 700 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 492 ImageHeight: 370 ColorSpace: CMYK BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 700 ImageHeight: 533 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 699 ImageHeight: 524 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 699 ImageHeight: 524 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 1667 ImageHeight: 1667 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 340 ImageHeight: 284 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 572 ImageHeight: 88 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 625 ImageHeight: 136 ColorSpace: CMYK BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 548 ImageHeight: 545 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 627 ImageHeight: 194 ColorSpace: CMYK BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 524 ImageHeight: 551 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 604 ImageHeight: 531 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 524 ImageHeight: 534 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 629 ImageHeight: 567 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 610 ImageHeight: 542 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 662 ImageHeight: 264 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Fonts: Type1: Font: BaseFont: RIBZMK+Montserrat-ExtraBold FontSubset: true FirstChar: 32 LastChar: 200 FontDescriptor: FontName: RIBZMK+Montserrat-ExtraBold Flags: Nonsymbolic FontBBox: -906, -268, 1715, 1088 FontFile3: true Encoding: WinAnsiEncoding Font: BaseFont: VEASQC+Montserrat-Medium FontSubset: true FirstChar: 32 LastChar: 117 FontDescriptor: FontName: VEASQC+Montserrat-Medium Flags: Nonsymbolic FontBBox: -840, -263, 1613, 1053 FontFile3: true Encoding: WinAnsiEncoding Font: BaseFont: IQKSQC+Montserrat-ExtraLight FontSubset: true FirstChar: 30 LastChar: 252 FontDescriptor: FontName: IQKSQC+Montserrat-ExtraLight Flags: Nonsymbolic FontBBox: -797, -260, 1543, 1027 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true Font: BaseFont: APGHIS+Montserrat-SemiBold FontSubset: true FirstChar: 31 LastChar: 250 FontDescriptor: FontName: APGHIS+Montserrat-SemiBold Flags: Nonsymbolic FontBBox: -861, -265, 1644, 1064 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true Font: BaseFont: JLOEEA+Montserrat-Italic FontSubset: true FirstChar: 32 LastChar: 122 FontDescriptor: FontName: JLOEEA+Montserrat-Italic Flags: Nonsymbolic, Italic FontBBox: -807, -262, 1600, 1042 FontFile3: true Encoding: WinAnsiEncoding Font: BaseFont: PPMJFO+Montserrat-LightItalic FontSubset: true FirstChar: 31 LastChar: 243 FontDescriptor: FontName: PPMJFO+Montserrat-LightItalic Flags: Nonsymbolic, Italic FontBBox: -801, -261, 1577, 1034 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true XMP: application/pdf Busquets_Marcel_Poster_TFG 2022-05-18T09:23:46+02:00 2022-05-18T09:23:46+02:00 2022-05-18T09:23:46+02:00 Adobe Illustrator 26.2 (Windows) 184 256 JPEG /9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK DBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8f Hx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f/8AAEQgBAAC4AwER AAIRAQMRAf/EAaIAAAAHAQEBAQEAAAAAAAAAAAQFAwIGAQAHCAkKCwEAAgIDAQEBAQEAAAAAAAAA AQACAwQFBgcICQoLEAACAQMDAgQCBgcDBAIGAnMBAgMRBAAFIRIxQVEGE2EicYEUMpGhBxWxQiPB UtHhMxZi8CRygvElQzRTkqKyY3PCNUQnk6OzNhdUZHTD0uIIJoMJChgZhJRFRqS0VtNVKBry4/PE 1OT0ZXWFlaW1xdXl9WZ2hpamtsbW5vY3R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo+Ck5SVlpeYmZ qbnJ2en5KjpKWmp6ipqqusra6voRAAICAQIDBQUEBQYECAMDbQEAAhEDBCESMUEFURNhIgZxgZEy obHwFMHR4SNCFVJicvEzJDRDghaSUyWiY7LCB3PSNeJEgxdUkwgJChgZJjZFGidkdFU38qOzwygp 0+PzhJSktMTU5PRldYWVpbXF1eX1RlZmdoaWprbG1ub2R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo +DlJWWl5iZmpucnZ6fkqOkpaanqKmqq6ytrq+v/aAAwDAQACEQMRAD8A9C6jqMtxKyqxEANFUd/c 5w/aXaU80yAaxj7fMu0w4REWeaCzUuQ7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq 7FVe1vZ7Zw0bHj3Q9D9GZek1uTBK4nbu6FryYhIbsnhlWWJJF+y4BH053+HKMkBIciLdTKNGmI55 q7p2Kro0Mkixr9pyFHzJpk8WMzkIjmTSJGhbJrfTrSGMKI1Y92YAk/fne6fs7DijQiD5l1M80pHm xfzl5/0PyleJb6jpN1NE9jdaiLu2S2aIR2QBmQh5o5eY9SMD4KHmN9m43/lsX82PyDHjl3sff8/P y2jiZ3huOUdpFeyRLDDIwSW9Wy4j05GDsruJPgLBo/iQtj+WxfzY/ILxy70Gf+cjfy3MRmisbyaD 6wbWORUsw0hX1D6kcT3CTNGwhPFgnxEhRV6qH8ti/mx+QXjl3pjefnn+XdtFPIsM84ttTk0iVYoo eXqxRtIZQryITGwRlQD43YUVCSKv5bF/Nj8gvHLvSqL/AJyO8gQ6Pp+patp89kmpNKIFh+rXgVIp Il5SGCRjG3CcO0bqGXiwofg5v5bF/Nj8gvHLvTy9/OTyZp1xZW2q6fd6dNfG0EQnjtiFF9LPFGzv FNIgVfqrs++wp1aoD+WxfzY/ILxy7028y+fvLPl7WItLvLSaWRo4JbieCKNooEu5za25kLOjH1Jl KD01anVqDfH8ti/mx+QRxy70ms/zs/L+51DTrAwXEE+qKjW3qwxBR6lhDqChisjblLpI6Cvx1H2f ix/LYv5sfkE8cu9UT83/ACnJqWlWMel3jfpWztdQW59O0SK3gvLeW7Uzl51YGOC2kd+Ct9mgqSAX 8ti/mx+QXjl3qNh+dPlDULFNQstJvprE6XfaxJcLHZgRwaaSlwjqbgP6nPiqgKQeamvHkQ/lsX82 PyC8cu9X8v8A5veUdb8z/wCGodOubXVI42lu0uvqSCGiPJxIW4d5m4IG/cLIAGHKnxUfy2L+bH5B eOXe3afm/wCS7n9HcbK5T9JSpHFyigPCOb6r6M8oSVuKSfpG3ooq45/EgANH8ti/mx+QRxy70rn/ AD+8iRTSwjS755be3nuLpSllF6bWihrm3rPcxCS4iBHKKLkfCox/LYv5sfkE8cu9H+Xfzo8i6/5g 0rQbO0uV1DV43lthJFCYwsQuC/KSOSRdvqbbqSG5KVqKkP5bF/Nj8gvHLvZh5a1bSfMOgWGuWNuU tNRgS4gSZEWQK4qA4UsKjvQnH8ti/mx+QRxy71ms6fDHGLiFeG9HUdN+4zne2uzoQj4kBXeOjm6b MSeEpRnNOa7FWT6V/wAc+H5H9Zzvuyv8Wh7v0up1H1ljGcC7Z2Kq1l/vZB/xkT/iQzK0P9/D+vH7 2vL9J9zK89EdO8l8z6R+amoW+ohbGK8vPrU8FqbiLS5bf9HTibhFB6oMvoyMlr9bWb4yA3p/s4qk 1n5I/NebVhBd6VpdtpX6W+upLbwaVEyKHvT9YLPa3lJ+K2gDCIsV4jkreoyqoTTPKX5y2lvJfQeX NGttenFjLa3ottLSaC5hdEvpLhoVHL6ys8z8o2YhAQODNQqusPLP5pXWgz6bcaBZHzRDHZ263V3Y 6WmlQQLDI5WBkiZ5WKNJBKqhkVpTw4LU4qn115N8zR6hK2j+V7LTrJm06fT7SC10f6vCGns5L9Zy w9b6wvov8URKcUQr+8CnFUhsvy//ADVis4pBpWnw3c9lc6dLZraaGlugeO2iV5CluzmKS4mvLp40 ZgQFHAElGVQsvkH817q5tuWgQRz6ZKH0ydpbCOC2uZYlaW9t5oW+u76i8ly0UtYzH8PpluK4qjrH yr+cUV3fxjyzo1vaT2iwW/CDTFX9IILXjePxQsYY7r17qJSpb7VVrwXFXX3kj8w4DDFpPlHTrVZt CkjvfqkGhx2x1lI7uAySRywvLIk8ci+mAyKoej7GRcVT+Hy7+Yr2GmR6jpdt+k9Vg1qy8zX9la6X IsbXdzClnMyXDR+rD9WhHNByLKqiRWYDFWKweS/zl0hzc6B5Y0a1vo01GfTbjjYGWzjvWSS3tIJW UuJbcyXC8a+gQ/2mxVWg8o/nUl/rAg0mysra1/SF55elit9EqL8zq1rLD+6rGZYR6bGT4vtFnBK8 VU888eTfNMurtaWPlyHWdLcWr/pX6poTXKuyXH6SlpeCJPrF1ILbkfSKFQ1OJxVDz+WPzZtZA+j6 NptrrbRWzW+pQwaZHYW8iwCS6cnib0zyXEt1H8KmPhLUcSWbFWf/AJcSeZU0m4std0VtG+q3M36N hH1L0BZPK5toIlspHA9CEKjclXtTlucVT/Wf+OfJ81/WM1Xbf+LS+H3uRpvrDG84Z2jsVZPpX/HP h+R/Wc73sr/Foe79LqdR9ZYxnBO2diq6KQxypINyjBgPka5ZiyGExIfwkH5MZCxTKbe7t54w8bg+ IruPmM9B0+sx5o8US6ieOUTRVeafzD78v4x3saKW+ZNKTWvL2paR6yQ/pC2ltvVdPVVfVQpVo+Sc wK7ryFfHHjHetF5/fflT5ngit5dB8zLYy2sFxH+jbeOexspmma4kSKkE7tBBG1z8IVXdAvwMp3x4 x3rSLt/y382GK1lm85XcVyEsPrkKS3U0PqWkCxzekz3CNSZgSxYfFUllL8WV4x3rSOsfI3mK20+C wbzG8pgubW8m1Bjcia6aK2+rTRTiO4jk4t6ccoPrEFqhkKiheMd60lVn+V/nmCLTo5PzCvJhZXJu Z3Mc/KZXclomLXjfAqhQgblQ8q8g3EPGO9aR/lf8uvMek2d7bap5wute9eexuLaS7WTnD9SkEjIC 08opKQNwoI78seMd60oaR+XHmu1gsHuvON3LdW7WslzGJLt4X9BneRFMt07n1efFmk5Aj9jZBG8Y 71pStfyx82myso7vzpdrJFDFHeJDJfFZGW4WaT9494ZKMimPls3xHfjxRHjHetKmifll5r03W7W+ k893t1YwWv1Z9MdZPSLfVBbLKnK4cBldfU+NX36/F8ZeMd60V2iflhrmntMtx5xvJ7WeExPaRGeF A7331uSVJGuZZxI6coi5kL0YnlQBQ8Y71pQk/KHUWvILxfNl21xbQejBLP600oLIQ5M5uBNRndmo rgqDRWWgIeMd60nXl/yTrelahpd1P5pu9Qjs4rhNQguGmcXbzBRG5Ek8iR+kIxQKnWpqOTVeMd60 zLmn8w+/HjHetF3NP5h9+PGO9aKU61fRNF9XjYMxILkbgAds5ztzXwMPCibN7uZpcRviKS5yznux Vk+lf8c+H5H9Zzveyv8AFoe79LqdR9ZYxnBO2dirsVdirsVdirsVdiquBp8Gny319cJDGh4RB5I4 Q8lKqgeUhKt0G+bzsrsqGogZTJABrZxc+cwNBhun+fnubG7vpdLtIra3t0uo2TXdOmqjCTkHKVVK GBqNyKkd6hgNr/ofwd8/mP1OP+cl5NX/AJ+ltfrU36Ls3sIYZHhvG13T40adGEa28gdV9Jml5oWb 4VoN+R4gf6H8HfP5j9S/nJeTo/Pt018ts2jWyq8UMgca5p5IZ7gW08TfDx5QPyB4s1SOP2iBh/0P 4O+fzH6l/OS8lO9/MC8trkxpo1nPFHaXFzczL5g04em9u8kYj4MobiWjXlIaKnLf7Jx/0P4O+fzH 6l/OS8k48rearLU5obPWY7TRtTeqzWC6tZXskUh5NFGRCBVpIk9RfavgcH+h7B3z+Y/Un85LuCe3 UBguHhJrwNK+I65y+qweDklDnTnY58UQVLMdm7FXYq7FXYq7FXYqyfSv+OfD8j+s53vZX+LQ936X U6j6yxjOCds7FXYq7FXYq7FXYq7FVT1I2tpLW4ghurWX+8t7hBJGe26nbNhou0sunBEaIPe05MMZ 80L+jPLlJR+gNLpOrLOPqkXxq5cuG2+IMZpK168m8Tmb/ohz90Pkf1tX5OPeWzp3l0pIh0HSykyu kq/VIqOsrFpAwpuHZiWr1Jx/0Q5+6HyP61/Jx7yu+paD8I/Qem/AWZP9Fj2Z5BMxG3VpRzP+Vv1x /wBEOfuh8j+tfyce8qcmleXJJ5p5dC02WWeMwStJbI9YWpyi+KtEam6jYnc4/wCiHP3Q+R/Wv5OP mqiz0MXS3g0TTRdqVZbkWsfqBkDKpD05VVZGA+Z8cf8ARBn7ofI/rX8nHzVJJHkkaRzVmNSc02XJ KcjKXMuVGIAoLcrS7FXYq7FXYq7FXYqyfSv+OfD8j+s53vZX+LQ936XU6j6yxgAk0HXOCAt2yOXR b9lDcQtexO+beHYmoIugPi451UAu/Qd94L/wWS/kLUeXzR+ag79B33gv/BY/yFqPL5r+ag79B33g v/BY/wAhajy+a/moO/Qd94L/AMFj/IWo8vmv5qDv0HfeC/8ABY/yFqPL5r+ag79B33gv/BY/yFqP L5r+agtfRb5VLcVNBWgO+Rn2JqIgmht5pGqgUj1DVBaSRQRW8t5dzVKW8HDkEGzSMZGjRVBPc18A c1+LAZgyJEYjqfuFcy2ynW3MrrDUorwyx+nJb3NuVE9tMFDrzHJT8BdGVh0ZWIqCOoIAy4TCjdg8 iP20mMrTG2tZ7h+ES8iNyegA98lptLkzy4YC0TyCIsov9B33gv8AwWbH+QtR5fNp/NQd+g77wX/g sf5C1Hl81/NQd+g77wX/AILH+QtR5fNfzUHfoO+8F/4LH+QtR5fNfzUHfoO+8F/4LH+QtR5fNfzU HfoO+8F/4LH+QtR5fNfzUHfoO+8F/wCCx/kLUeXzX81BD3VhcWoUygUboQa5h6vs/LgAM+RbMeaM +TEbnzxZRapc2KQyTHT4nnv2jCssaGnpOW5D4XBO9DTf+VqXw7MJgJEgcRAF7e/p8u/4hic+9dzJ I25orbVI3ANQD3Fc1so0abgynSv+OfD8j+s53fZX+LQ936XVaj6yx+wAN7BX+df15x3Z4vPD+sHZ ZvoPuS/zro35u3msvJ5T1+x0zSGtEjEFxCskwuhKWeVWaGUKDHRfi5Dr8INGHoTp0tufL/56h7lL TzNZNF6kn1OWdIvU9PknpmVUslX+7VwVX9s8uXEeniqIsNE/OpJLX67rtlLBHMz3SR+ms0kLiixe r9R4Vi4Bi4iHqcmHGOinFVXTNC/NgazpNxqetW8tjaov6QijkUCWWsgmb0ks4eaOjL6aGVfTIqTL 3VZ/irsVdiriKimJCvOfNXlm5N6ZjHPPbPH6UsVvcPaykLz9N4pEaLekrclZx2NaqK8bPFLTXCWw u4yIsfH5DpY373ZCQnuPkhdBsZ7XVbxzZXFvbywxBZricXBZxNPIyhjLK9B6+woAOg2zD1eSMoD1 CRBPIVtUfIdzZjiQTszLTLhbXT7+5YORBGZGEUbzSEIrN8EUSvJI22yqpJ6AE5uvZz6Z+8fpcbWc w8c0zzF+bt5o1hqkXn3SYYLgo8dxqtu2nxXEbGFlMUNzptrLJGwm4+uj8H5KF4tnSOEnV1qv5n+p Bp0Hnzy9baiGnZo557e5mcyEW1vCyJa2uy3C09QKPjfhxbiAyqOh1Tz8rala/wCNdEuoriOIaHct dWqXVZL0emz8LMwAzwSGEH05BzVSqnk2KqH+IPPDw0i8++XpJ7qexGnEXFsiSLb23p6iiA28hb1L shvhLGnwhoziqHOs/mPb6Tp01z5/8vCeI28uoXbXdoltLC00gcAfUq1lETKkgdR8JXjyBfFVK282 +fbTSLCS48++V72+dkaWd7+3S3kiW7NQqxWfJi4CwNKGVVBb4OYD4q9Rm89+SYElkn1/T4Y4JPRm lkuoURJKA8GZmChqMDStcVUbvzD5Y1ZRaWGsWN1dhk4W8VzDI7GRC6qFViaunxL4jfNX2tpJZsXp +qJsN+nyCMt+Tz7V9J1O31e60az0xjpGvel9fvFYJ9XUL6VxGFABAaFBx3FGYkV6ZoMeQcAnklWT FdRPM9Y/b9zlkb1EemTL4oookEcSLGgrRFAUCpqdh75ppSMjZNlyQKZVpX/HPh+R/Wc7vsr/ABaH u/S6rUfWUg0//e2D/XH684/s7/GIf1g7HN9BY155H50t5h1VfLEv1fRf0ckmnXBXT3C3kbhpE4Tl ZCZUqoZ24L+I9BdQwa689/nBFb6ze3WuafYwxQGTT45LjSo+DCOaORKMZDK0d0Yo+dVRiKr/AClV F2/nj82p5rpDq1hBaR3NpfpfNdaOeNjIsQmtZIuYaMKZq+s3xdlHxDFUPeedPzgSPTrOPzBp7Tz3 d5Z3t6k+jj0pA6R2vws7JXgTN6NfUbdScVRNz+YH5gJYSX03mPT4frEUUlvZi40sqJ43gS4to7hG NR6ivG0m/H1R/Juq1P5z/NjULWK30/W7G21e2SNbtTNpv7yU27ySLGjsUcqZYHPFioBoGO9VVD/G 35u3bPbWWvWQmMUdtHcrPoMkZAuYo21JVE/P46TJ6JUjbry2xVG3Pmz83rHUrMjWtNvrO6kmMqvd 6XCiOxSJLdZAvqFIp6oJPTLMzBWUHFVSx/M7z1Y6rLqepX2m3+i/ox5RpP1/SkZb9YEnaFZ4WaRv TCsSePHg3PwACvTvKuv3HmPy0+o3mnxafIz3EX1aO5ivQvoyNHvLCOHKqbqPsnbqMxtXjicUrA+k /c2Y5HiCJ0iGSayvIY53tpJF4JcxBDJGzKQHQSLInJeo5KR4g5pfZz6Z+8OTrOYSfzT+Vuj+aYYo tc1C9u/StntOR+qryWQwOzsqwBOfO2DghRQs1BSgHSOEkt7+QPlOZZXgvb+G6mufrL3JkR3HKX1n RSU+FeZMiD9mSjb0piq+b8gvJ739texXupW8to1sYkhmiVONnK80UbD0TVA7jb/JWlKYqs0z/nH7 yfY2K2Tahql5HHz9GS5niMsYeSGUiORIY2UBrZSKdKk9aEKqdj/zjx5LsXn+r3uoLDcXS3T2pNo0 IRfVrahDbEfV3FwwaM/hvVVqL/nHfyYrRLJd30kECBFQvEruCgVvUkWMMayATjhx/e/HuaUVVLv/ AJx+8o3VjPYy6hqf1e6gjhulEluDJJHKshuXb0ORnfhwd+6fDTpRVMdA/JbylomvRa3BNeXFzBM8 1vFcSRmFOSssaBUjjqkCu4hDE8eR9qKs9KqeoBwGIPNbSbzBGgELBQGPIEjw2zmfaHHECBA33c7R k7hH6V/xz4fkf1nNt2V/i0Pd+lx9R9ZSDT/97YP9cfrzj+zv8Yh/WDsc30FNNX1/y1a87HUtTtLW WVeJgmlhEhDlU2jkJ5VaVBTid2A7jPQXUPMbL8tfyk9Ccx+a2uEeM2qTfXLARxGMSF/SEcKQ86ku 4KkclDEVXFVO/wDys/KSXTltovNTWkf1f9HGRNQtgHjhnid1agX41a34bfZ3FNgAqibf8ovyo1S2 /Q9hrtxPeMq3oube9gkuWkVlhN2rcHQy8rTiZAtVPLoWaqqYXf8Azj35Nu7ye4m1DVTFcRmJ7P6x H6ARp455FRTFVBKYgrhTuv34qs/6F48oC6e6j1PVY5ma6dHSa3Bj+txLCREfQqgiRF9PiaigBJAA xVF/8qH8lrOssUl1Gka8YbYNCYEb6x9aLhPS6mUDvsPs0xVP9B/Lry1pek2thcW0erSWyoBeX8MM 0zOvBi/IpWrSRiT/AFt8VR/+DPJ/pPF+gtP9KQEPH9Ug4sDGIiCOFD+7UJ/q7dMVR31O0tLKaO1g jgjKsxSJVQElaVooG+2Uan+6l/VP3MofUEDoIYw3AQ0fbiT40NM0Xs59M/eHL1nMMIPlz89pBbx3 PmSxaL6jLDe/Vwtuz3bzSlZEY2czKBAyKCrDi45cW6N0jhLp/Lf55qVe1802gX0Z0aGZIWVH+rRL bsHFjzdlnErSMaBhxIUboFWS+TrDz/aXurv5q1K2v7SeVG0dLcBTDFV+SSUhhqTVdyzfR3VZO7pG hd2CIoqzMaAAdyTirgykkAgldmA7d98VcHVuhB3I2PcdRirnkjjUu7BFUEszGgAHUknFWwa7jpiq 31YqsOa1VgjCo2YgEKfchhiqVeYfsQfNv4ZzftH9MPeXN0fMo3Sv+OfD8j+s5s+yv8Wh7v0tGo+s pBp/+9sH+uP15x/Z3+MQ/rB2Ob6CmOt+XvLt5HPeXum209yI6/WnhgaYcCHQiSVWoVZFZa9CAe2e guofM+mHynZSTLfWd/FosllbXmlO99E8U0VlZotwDClm/ASIx9aoBk7L1wKoz675O8xol2mg3NnP aX9o9jBb30Bkea7laYcHNs4iNFaSWq/HT7dF5Yqut9d0HR21G80fTtUhvFtrnT7RoNThErWkxl1H 6xFdpZSPA6wEuiu32RvUipVTVPNtwbmeG/uvMKxfUZLj9J/pgulqlnHNZyvwSBWMy3CuG4/bZBIt NqKpi/nqG2srawtdT1zUriKMKFm1g291Krz+khmMlqtC14i2mwqisXY/aIKoG689R2/oabZ3vmOf lPc38atrcpmmW3FwRAkzQNIYq2iq0dCfjBrWvJVMdN/NGLy/DpvmO9/SQtorVrK2sLvVDPHKPUni VpI47TiZWazXiRTiC9acRyVZh5d/Pa+8y6jZWmheWvra3rXDxs18sLG0tpUhNwiyworfEzEx8w4V a03AxV6XZXOoXOiJPqNn+j76SEm4sxKs4jem6iVQoce9B8so1P8AdS/qn7mUPqCTyS2cPlnW5r2K 2ms47SZ7mG+bhaPEsTl1uG4TcYitQ59Nvhr8J6ZovZz6Z+8OXrOYeS+dfLOgDyZBYaxcWH5f2sWq zzMLK1uJIZ2k9GWNQkVlovMIGVOYU8VjBMjOrlekcJj8PlP8rl1fVPq/nVjK8ckdwJNIujIJlvLb 6zN6o9OOQmWOn2eKs5I+FeIVTe90D8vbi9tIbfzbFFbmOGMxvp1xO0kPq2vqQt6lf79XtVLseS07 hnxVL4vKv5eW8+q6afPUkpu4r+bWLebS539VIvrMQkTgV4NbzCR29P8AvHFQApGKorSdO/KvSddi vJvOjXkFpc2j2tmunXdRHcW93JaWyyxVMnOG5coQOdRuTUKFWU3emf8AOO2oWyR3tvLPFbzsIlmb VZJDLDaxysOJZpCPQ4Hiw+LwJxVQtIP+cZb2WxislWZpjdWNoYn1JQRJG1xcgHkvJR6n2hXixAFD 0Vdrt3/zjTePcT6rKVmguFlnkLamjLPfxAoxKHjSSNB1+Ed6b4qibe5/5x7VpradpRdxyw6xcx3Q 1ITGbnAkUpQjqXkiURKKV+Hj8LAKvQZ9Q0u9063OmSepawEwKSHFOCrt+8AY7Eb5zftF9MPeXN0f Mp3pX/HPh+R/Wc2fZX+LQ936WjUfWWO2kixXMUjfZVgT8q5xejyjHljI8gQ7PJG4kMrVlZQykMp6 EbjPQ4yEhYNh05FNNDE0iSsimWMEI5ALKGpyAPatBXJIXYq7FXYq7FXYqsgght4Y4II1ihiUJHGg CqqqKAADYADFV+KqF9NHFaSlzSqkAeJIpTMTX5o48MjI9C2YokyFJZ5fmjUyxE0dqFQe9K1zQ+z2 aIMoE7mqcvWROxa8zeV/06kSfpfUtK9JJk5aZcfVy3rIU5MeLVZK8k8G3zqXASd/y3l+uWU0XmjX IoLWIwyW4u6iX928au547v8AvCzMQSWCnqN1ULc/lDa3BnD+avMghnFGgXUaRqRci5DIPT+ArQRj j0TbrvirNrG1NpbLAZ5bjiSfVnYPIeRJ3IA6V2xVXxV2KrVhiWR5VRRLIAHcABmC14gnvSppirmh iaRJWRTLGCEcgFlDU5AHtWgriq7FUl1+aNmiiU1Zalqdq0zlvaHNEmMAdxdufo4ncphpX/HPh+R/ Wc3HZX+LQ936XG1H1li5IAqegzgwCTQdqUyj0bUCoNVSu/Etv+GbrH2LqavaPxcY6mC79C6j/Ov/ AAR/pk/5E1X84fM/qR+ah3KcumXURjEs8cZlb04g0nHk5BPFa9TQE0x/kTVfzh8z+pfzUO5U/Quo /wA6/wDBH+mP8iar+cPmf1L+ah3IW7tbq1KiVvt14kEkbdcwNZpc2nIEzz7i248kZ8mIv5s1iXWB a2dpEbWSKZ7KS4n9NrqS3kEcqRgBuHEkULD4gajocyBpYiFznLiFXQvhsWL/AGcuTHjN7AV96f6f qC31nFdQlwkorwbZlINGVh2ZWBB98wMwnjmYk7htiQRabx6RqLoGqEr+yzGv4Zs8fY+qlG7r3loO pgCu/Quo/wA6/wDBH+mT/kTVfzh8z+pH5qHc0dDvz1ZD82P9MiewtQeZj8z+pP5qDX6CvfFPvP8A TB/IGo74/P8AYv5uHmoXdpd2vH1W2atCpJ6ZiazR5tPXGefcWzHkjPkkEvnPytFG0smuWSxoCzMb qKgA/wBlkBptSf4Z/Ip44d4R1jqlrfxPNZ3AniSR4XdCSBJExR1+asCDlOWOTGalYNWyiYnkm8Wk 6jIgeoSu4DMQc2eLsjVTiDdX3lplqIA0v/Quo/zr/wAEf6ZZ/Imq/nD5n9TH81Dud+hdR/nX/gj/ AEx/kTVfzh8z+pfzUO536F1H+df+CP8ATH+RNV/OHzP6l/NQ7kPd2V5ahWlaqtsCpJ3zD1miz6cA zOx7i248sZ8mGWnn6C8so9Rt2tRYSKrhZr1IrmjAFQYSpRWIP2WkB8aZdLQTjLhJnflEmPzu/sYj KCL2+af6bqFvqOnWuoW3L6veQx3EPMFW4SqHWqnoaHpmqy4zCRieYNfJvibFsw0r/jnw/I/rOd12 V/i0Pd+l1Wo+ssfsADewV/nX9ecd2eP38P6wdjm+g+5JPzC8k+RNW1lr/XvMc2jXc1n9UeFL2C2j e34XHOsU6uDyiknUtT7PKlN89CdQgND8j/lho+p2urjzQt9cXErSRPfXWnTJcvdcAWoYV5vIwWki fHvxDcTxxVrQPyZ/LS4ie60HUZZrR5Lct9VezlhEljH9WqtIG4SMUYtItJA/Iqy1aqqceSPya8s+ Tri2n0y6u53tXmdPrf1WXedODcSIFaKg/wB9FK9G5DbFWW63ZSXNrWIcpY60WtKgjcVGajtfRyzQ Bj9UD9nVyNPkETv1eMXPlzzHDpNnY29hfm7tFbjNJPbenE8aFrcQRtOwCxzrEQWHLgtG5cmB1ctT jGSXEYgHpwys9/F6R/De3Kz5N4hKhV/MfY9B0TTrfT1gtYORjErSMznkzPLKZJHYnuzuSc1GLKcm eMj/ADo/oDkyjUCFbzd+V+g+adUOo6hdXsMpspdPMVtMqQmKaG4hZzGyOGkVbt+LHp99fQnTpNL+ QXkl7Z7aOS6gjljeOX0haBiXtktmcE254Oyx8nMfHmSefJfhCqs/5IeWySY9R1C3Zo/RdoPqcTNG bZ7R0ZktlJDRStx/330i4LtiqGk/IHyo9tc266lqUKXcjyTGFrSMn1UaKWNeNsOMTRyMvpL8Cgng q1NVWZX+k3cPl6K0s5HvbyxgVIJLphzneOPiDK6qo5ORViF+jNZ2povHgB/NP2dW/Bl4C85m8ueY m0yDThF9Viit/QCR6jNC6ho1SlPq028dPh+I+Oc/PU44ZCSPVfXH/wAeHP3ByxAmI/X+xkfl20vb WzhgvmV7j1pHYqxkAWSZnRebKhbijBSSu+YMskZ5wY8rj0ruHLdtAIjv5t+e/wAm/LnnTXbbWtRv tQtLu1tXsVWykhRGglDiRWEkUp+NZmU0I2z0F1CX2f5BeVba81G8bU9UubnVLW8s7yWeS2YuNQ3n k2t1/eFviBO3alNsVVx+RflMRalGLu946pFZQ3Ab6q6AafIssXCJ7dolBZaMnHhTZVUUoqozfkL5 YuNOSwutV1S5jjF+FllktWlH6TCfWOL/AFeq1eMv8NKlmDclbjiqeeWfy60vyp5fn0nSJp54pLp7 3/STGX9SRVVlBjSIU+Hao/CgGs7V0hz4aj9QNhv0+Thlvyedaf5S8wabaWmmyQXZFrAlu8iSUQ8F CkpS+gQISOhtvmuanNqoDISaG90Rv8f3ZN/53xciOM1t+Pt/QzPy9p0umaBpmmysGlsrSC3kZfsl oo1QkbJtVfAfLNBqMgnklIcpSJ+ZcuAoAM30r/jnw/I/rOdv2V/i0Pd+l1eo+spBp/8AvbB/rj9e cf2d/jEP6wdjm+gsL/Mf8v8AWdf12W6bT9T1O3knW3hSHUrG1ht7aa1NvNPGksDv8Pqu3FiTy+zQ MQfQXUJPo/5da6Day3PlK/t47K6WS2sZ9X06aNEme4hZlCQ8UFvBc80QH9hFXcVKqM8s+S/M8Ik0 2DSdZ0XSJpGthew6zaxSelNFSS++rxW8RSVXjBC9eUjtTpirOLz8uWu9Q+tS+ZdbSJRCIrSG74xV hmSfk4Kvydmj4kinwEj3xVGReSBFcQzrr2sVil9VozdApJ+9SXjIpT4lonp/6hI98VZLiqU6sii+ tGAozMKnxowznO14AajEepP6Q5unPoko663nFbuBtHbTY9OAf6696ZhMBxPFoinwfa6hu33Z0bhP LV/OXzOmjajNc6t5ch1DS/q6XZez1tIVkkkk57PCkjAw+ky8Ad61+EqcVVX/ADc85yxD6teeXori 7mvoNOhng1QnlZuPhl9JXFQkM9eJ3PDj3xVEXH5xarZxmC81XQBqcLQRXNuIdV4ia4s/VRKrFKRz nU8DQ1T/AC9sVW6T+Z/nfU7mHTbXUPL0+rh7i2vPTttVWzinijnKh5pVSgZ1hFK9OVK8kxVmuh3X 5lHV2bWk0yTRuU9PqMd0lwqVT6tUXBUM1PU9TjX9niOuKpjrF3ZfWLVi4jcsQwkBjagIps/E0znu 2cV5cRA3vf5hzNNL0yCF83edo/L+izaibOR2S4jtoI5gYhMXUSMUNGIATluyjcZ1ej03jT4brZ0+ u1fgY+Kr3pZH5s1S9urFbGwFuLiG8abTtVFxaXZkgMCwvH6cVwph5zhZWI+EMGFeLKas2LglViXu Nt2DN4kbqUfeKQ8P5o+XIbXS5dYmWym1pI30u3gFxeGYtGvOJWhh4tKk3KPghY/YOxcLlTcya01f Tbt1S3nDO8aTIpBUtHKXCMAwFQ3ouR7CvTFUZyAIBO56D5Yq7FUn8wqtIWoORLAnvTbOZ9ooioHr u5ujPNHaV/xz4fkf1nNr2V/i0Pd+lo1H1lINP/3tg/1x+vOP7O/xiH9YOxzfQWDat58826b5obTd Q1sAWvqxzJZaQsUc8iQJOiwevd3LF2Wau8gqEaidWHoLqEph/Nm8u4tK9PzPd2MmoX1mI4n0yykr HKIEktC7zjcvchmf7ShWoDxxVAWX513TSLNc+ZtUit/TRxFNo+nxu/oQm5nagnLcXitmJAFQs8dO qnFXoOl/nn5U1G8gtYLO/IuLVLuG5KW5iYOyoEqs7HnzfjSnUGh2xVQ0n8/PLOr3ENrp+larLeS3 X1L6o0EazJL6Uk3xxCRnVQkL8jSo8KYqmtj+aLXNzaQv5Q8yWq3YjIlm0+iRCWQxD1ysjcCvHkw3 4qQTTeirI9X/AN7LP/W/42Gc92x/f4f636Q5mm+mSOvnVLKd3YKqxsWZmKKAB1LL8Q+jOhcN80WU PkZ77Vbeb9A3VxO1g+mxlNcLNdSQSXMC3HNVRU4l+Pp0PH4ZNyQVVs0uganoE0UkWifWrmSWa/sp h5gnXnqAN1FxERkYNJ9Wtiwiag+PjuQpVTrRvy51TzRoK3llpflu+0C5tV/Ryh9ajkN0628U0khu WhnWJhAfiVgzLxcq56qpwv5OeYpImY6D5cjltHs5tOV7rVyfXs1SMc5FlJ9JFEnpCn7XJkry5Ks8 8h+XPMnlvRBoxSwjtbVyLNLcTCJYmAfiod5ZDRmILO1W60rVmVTLU/rUktr6k3CZGIaNUUKN1INC XJB9m+41zn+2iBkxbXuf965em5SVr7VLs30em21pbXN+itcFbqWS3TiookkLCG45fGQr03Svfau/ MyOTVjxQkCZ3QI5Rv9IUrDzZJfpNJaaPeSxR2y3KOstgfUZ4I544FAuuSyuJuI9QKlVJ5cSrMxNi 2OXGYTMT/CSPkjdM1OCdkggtGgYKz6hEHtmNndOsU/1a5WGWSk7rc+p8HJSKkt8Sci1ojUdRhsYQ zD1bmXmllZK8STXMyRPN6EHrPEjSMkTEAsBQEkgAnFVPUdZsrCWxhlLNPqVz9TsokFS8ojkncVJC gJDBI7VPRaCrUUqo7FUo8w/Yg+bfwzm/aP6Ye8ubo+ZRulf8c+H5H9ZzZ9lf4tD3fpaNR9ZSDT/9 7YP9cfrzj+zv8Yh/WDsc30FJG8z+X7udL2byFqM8096qC6FjY3LeqUkgaeSSGab0/SWFopBIRImy FR0z0F1CEtfMXkpriCzl/L69tLp0nvoYJNJtg3OxLcnUKxPINFHwelKvHv8AFirb6p5LBjR/y1v2 aSb6o3HRIWVVmL2jOWNB6Pp2w5H/AH2UqKEDFWW2HlryfeKt3/hy0t5o+MaevZQJKoicSoB8JoFk AZaHqKjFUVaeT/KVndfW7TRLC3u/V+sfWIrWFJPWIZfV5qobnR2HLrufHFU0kuII2RZJFRpDRFZg Cx8BXriqW6v/AL2Wf+t/xsM57tj+/wAP9b9IczTfTJS8yeZ/0ItrTStR1R7qZIAun27TiMuaB5iC OEY6s3b7q9C4aVj8xU+spA/l3XI+cnpes9mFjB/fb1ZweP8Ao/UD9tP5sVU9H/MC3uxFKPLWtafb 3MVzdTSz2Dhl+rGjB44fVdpJRQxKoZnHTwKqa+W/MltqryQwaTqGmcLa0vZfr1o9ovqagrzGAM3w vPFT9+EqFZgvItyAVT1mVVLMQFAqSdgAMVcDXcdMVSTX+Md7ZzH4UbksjH2ZSpPgBVs0PbQBni7+ L9Tl6blJCeavN3kjQL7S5delRL65MsekyC2luZqngsqRGGOVl5c0BG3L3zoBiMgZbVEbkkCh7y4Z 1HB6LPq6C9+7Ye/ZAad5/wDyvvNQuriyuIHv9M099SuJxaTLJFYvFA8jhzEDRo1hqinkeKinw7Sh ilKNgbcRj/nRJiR8wR3MJZo2bO9cXwIv9KIk0b8sNIub2aXRtM0+bUjPYajdNYxQrcLJbNe3CTTG NVkiaGNnkZmKEqQTyFMAxyPL8b0yMwOf46q0vmH8u7p7PWZJ7CeXTxd/om+ZFeQLFCDeNYOVLyKs W0rW9RsVPQgS8Gd1X4Pf3fFiMsT1TWPyx5bjurC7j0mzS60qL6vpc628QktYeHp+lbsFrEnA8eKU FNsqbEbaWlrZ2sNpaQpbWlsixW9vEoSOONAFRERQFVVUUAHTFUt8w/Yg+bfwzm/aP6Ye8ubo+ZRu lf8AHPh+R/Wc2fZX+LQ936WjUfWWP2BAvYCdhzX9ecd2eQM8L/nB2Wb6D7mJedvyo1jzBrWrzLZ6 TcafewpPavd3WqLcJqNuGW3bjDIsMcSq5r6YDVJ656E6dI5/yM12eMxvpHlkCRBay8ZtZRRaG5lu HjjRJ04/EICo5UU8x9niMVRsP5H3EczRR6RocFjFbTJYiO41Q+ncSkR8mjEiFlaBEL/va+oOQo3x YqpXP5OeaGileLSvLf126mme8lkuNYaJ1i9OazZIjKRGXukLTJUrQD7ZxVPPLf5P2frzHzPo+lSR RTXP6OFjPqLn0JoILb/SBcyMru8Nuqv22qNy2Ksptfy18lWstpLDp5Elj6f1Z2nuHK+krIlS0h5U WRvtVrXfFUw1dh9dsxXo1T8uQzne2JDx8Pv/AEhzNMPRJHalDcTWE8Vtw9aRCqeoXCb7GpjIcbdw c6Jw3jb/AJJ67d3ZS+0vy+tgYW4yxXGrtdLPcxpBdhDJKyCN4g4XbY8WpWuKr9T/ACX1u8v01D9F 6BJd2dX02Sa61iiOtxc3KB1SZQy+rLG29aVcD4QgxVmw/KD8vHVfX0dXBlnuXge4uZYfWu1VZz6b ycG5cB1X3AFTiq9fyj/L1buO7GlE3MVvFZpIbm6J9GCVZ41NZd6SIrVO57mmKsvRFRFRRRVACj2G 2KpVrZAmtKnoxJ+9c53twgZMXvP+9czS8pMT/Mb8trvzLe6SNNj02DT45ZpNaW4hUyzCQwEekyxs QzLb8GbkNqdaCnQZQeCRgZDKAeD1ERsgi5AbSrmLB+0uDVyF1wfxbAmvLu+bDvKv5Hec9LjurG41 Cxt9OvLU2VzNZcHvZobiSBbqJ5p7I0j9FJWjVfiDFQWIFRmnLDxPEJkZd1ngFEkER4q4uQlLrVgR shxo4ZCPBtw9+3EeV78PLnQ+00mkv5S+eZ7O1sbnX2mtbi8lu9YUzRUU31qIb9rRTYtxMj3N3xTk qAFW+2SRcNVjBsR6bfA7Xv5Bj+XnVE+/486296C8q/kr54sNDn03UtbtglulwNKiiSK6C/XIZY7m MTXNqJ7ZJWMXL0W3HqbBmDCWXWQMrA9/Tly5Hf4+SMWmnEUT+Pls9szWOc7FUo8wn4IB7t/DOb9o z6Ye8/oc3R8yjdK/458PyP6zmz7K/wAWh7v0tGo+ssYzggXbI5Nav1ULyDU7kb5t4dt6iIqwfeHH OlgV36cvvFf+ByX8u6jy+SPysEi1380tH0KcwapfRwSrEbh14M3GJWVS7cQe7rt136Zm6fW67LHi iI01TxYomim9n5nkvbWK7tJ4p7WdBJDNHRkdGFQykGhBzFn21qoSMZUCPJsGmgRYTGGfXJYxIipx bdSaCo+/M/DqO0MkRKIjR9362qUMINFfy17+VP8Ahf65Zxdo90fsY1h80HNpmqzyGSUBnPfkuazP 2XrMsuKe594b458cRQRMY15EC0VgOhYqTmwxjtGMa2PvppPgkr+Wvfyp+H9cnxdo90fs/WisPm7l r38qfh/XHi7R7o/Z+taw+buWvfyp+H9ceLtHuj9n61rD5u5a9/Kn4f1x4u0e6P2frWsPm7lr38qf h/XHi7R7o/Z+taw+aDn03Vp5PUlAZun2l2Ga3UdmazNLinufeG6GfHEUETEuvRoEAVgNgWKk/fmd ij2jCPDsa76apHCTa/lr38qfh/XLOLtHuj9n60Vh83cte/lT8P648XaPdH7P1rWHzdy17+VPw/rj xdo90fs/WtYfN3LXv5U/D+uPF2j3R+z9a1h83cte/lT/AIX+uPF2j3R+z9a1h80pvmvDP/pVRIBs DSlPam2c9r5Zzk/ffV+OXRzMQjXp5J/pX/HPh+R/Wc6/sr/Foe79LrtR9ZYxnBO2Y35z8h6T5tjt 01Ce4gFsk8aG2MSkrcoEk3kjloaDYrTuOhIzO0evnp74QDdc/L4tWTEJ80ol/J7y5Jay2v12+WGZ OEqq8IrRIFQ/3O3BrSNxTuKGqkrmV/LeW7qO3v8APz8y1/lY+aWX35OWIur6WH1bz66s7RytcraP DNeRvFdkLFbtCwuEfizGM8QBxXL8fa9xAl6eH+jxA19P8V2PexOno7J9+XGlvZQ6wZrS5tL25v3k u0n4mJpCq/FbsFSsfGniK1ocx+1sonKHCRKPDtXP4+bPTxoG+b1uyRktIVYUYItR9GdbooGOGAPP hDrspuR96sxIUkCpA2HjmUwYU/mn8yxJOE8j8lSvoV1O1USD6u0q/EORVvWUQspWg5cgzKDiq+Tz X5/jgjLeSma5dFpEmo27J6haTmnqcdgsaBgzAAluPXqquTzL+YrPZg+S1VJmIvGOqW/7gBqVoEPq VHxCnvWh6qqKea/zNe5kj/wIscCwh45pNWtqvMYQ/pcER6AS1j5V/wAqlMVXRea/zEZ5kbyUT6UT vyGowKDKGUpCvJRy5RPXmPh5AqadcVXz+ZvzEjiYp5K9ab6vHIipqdtx9ZoZHkhZnVCOEqJHyAIP Pl0BxVp/M/5jpemEeShJarbzS/W11O2UtNGJPShWMrX96Uj+ItRee/2d1Vl35p/MqMf6N5H9Y+pc gV1S1X93CpNuxqNjcGi034dW6bqpv5Y1nzTqKsdc8unQiFBUG8hu6kpGSP3I7Ozr/sa/tUCqfYq7 FXYq7FXYqlHmEDjAab1YV+7Oa9owKgff+hzdH1Rulf8AHPh+R/Wc2nZX+LQ936WjUfWWO2kayXUU bfZZgCPaucXo8YnmjE8jIOzySqJLKWVEjJSMHiDxQDw7Z6EMcQKADp+IsBs/zQ1GS4FneeTNXtr5 vq8n1dI0nCQTvDF6kjoeKMHlkIXf4I2LFW5Kp4B3LZVLL8zL2/WH6t5N1yCR4EuZVvrRrZUBvEtn j5AS1lWMvMF2qoG4qSrwDuWyzzio6AYiI7ltvJIdirsVdirsVdiqR+bdf1bRbGKfTNEn1y4ld0+r W7KhTjE8gd2YH4OSBTxBbf4VY/CVWN/8reDW63dv5R8xXNo6ho5IbDmzgm4FVUPQg/VlIPLcSJ44 qmvl/wA732sXemI3l7UdOttRgupnkvoJYZbZreYRxx3CFPTQzJV1/e19qfFirK8VdirsVdirsVdi rsVSjzD9iD5t/DOb9o/ph7y5uj5lG6V/xz4fkf1nNn2V/i0Pd+lo1H1lINP/AN7YP9cfrzj+zv8A GIf1g7HN9BZLcELbykkgBGJK7EbdvfPQXUPnW28/a+HhYWmuyyyrcyrXVoaPNaSy25t5ljtkUfFN H+8VabqSWEZYqqmledBKFh+veYRpcwurO11GbVl+sSLK49C7UfVQDWSZEjbmeNR8LAGiqR2X5kxT W2m2cFxrdtLcWB+osddWSWSZRcackca/Vgrhni58+SLyCvtQ4FTTUfzZ09dMW81C5121tXX11lt9 U4q14vqW/wBQqtv6qoTbPJz+zyrvxO5VEal5ju7fVYoZrnX2W21iG2nlh1yNgplInIZfq3xQf6WU KcqlY46da4qlFv5uv77SYGTUdctYNY1K3nt5YdfEkiW1wyWk8UTfV1SKO3nueIUjqAegDYFV7n81 oru7ub6UeYYrVHvLhUh1n04ZLaex52zBRbpIgkjsZXjQfFGxZq1YDCqdxWnnfW9P1a70GLXdTFnM INOuW1+3i9aUWxs7gLyijaEwljI1dmkXkKdMVZJ5b8o+bbvXLeTVxr+kLBJZXLTPraXayC3tVVoJ EjhEfptNUSqG5SNVjReOKp/+cGsppWi6cxlv4nvbxrGD9G3X1OVprm1niiQyenKN3YcCaBX4tX4c VeRL51Gky3Kw6v5hvIdPF1AJrjWPUaeOwuYbieTg1ts6c5ImfqY1oteQoqr6v5/u7O8stYeXXo7G 6sGuZLVNYFECTQTITE1u3xSz3QtmqBxT+VRsq1N541SU2EaprifWp5ormSPzDGGgW0szFc8Q1sWm 9AiZjQfFJHzBYMtVUTd/mDDPpFvp8Nx5iS5vjbx+qNVEV1Waw+sxvHKYDH8ckDQmlE5cm8cVaXzt NqttNMLnX7KzmubmQXa6yodIG0s3Mcixrb1CtE5lSIHkrLyO/wAOKpe/nO4mmFlfza/or3l/btfy Qa1HLNHe3jrDbWiOtvxMRtoHnPJeG3EsCcVXxecr2MvNbDXxBN9VvLMy66QDPdtNJBbiNLZUSGSQ mDlI3EjgRWgIVQ0X5jWU9nfWz6r5gsNPs4ojPqraq01wljMryW1zH/o3NWmmlihYUZ+BBNOJOKvX fK0/lDXPMi3mieadXvJ1iluW09ppltWQ3IDF0liWpSRfSC8qqvw0pirLfMP2IPm38M5v2j+mHvLm 6PmUbpX/ABz4fkf1nNn2V/i0Pd+lo1H1lINP/wB7YP8AXH684/s7/GIf1g7HN9BZQ680ZaleQI5L sRXuM9BdQwwflhBVC3mbzE4jkeRVbUpCKSRekUPw7qpHqLX4lfcEDbFXQflisUnP/FXmOSsMcMiS agWVvTMR504fC7ehRitK8n/mxVUuvy2juJZ5D5k12MzyeqVjvFCoaQj92pjIXaD/AId6ddlVC6/L GaSbUrm382a/DcajFJCA15yigEshflDGqoVdOXFDy+EU+lVq/wDytF1BaRf4o15RaG3qGvS6Ti3R EK3CcQsglCVk6cmJPtirOBirsVdirsVSrzH5fGuWcdsdQvdOCMzmXT5RBI3KN4wCxV/sl+a0oQyq fbFUqu/y+t7qaGR9c1mMRPzeOK8MaykdBLxUF1HgTTxqNsVQ1t+WMEFxplz/AIj12WfTI54vVkvQ zXK3BY/6U3p1k9Pl+76caDFUNp/5UtZliPN3mFiZreYj64vFhboycXBjavr8uU7dXYA/DiqKv/y2 a7EYXzV5gt1iEwRYr7iP31utuOTcObenw9RCWqHJauKrdG/LMaYkZPmbXbqcC29eaa8DGVraQycn qhJ9QN6b1O6ALXauKtj8s1qpbzR5gcrZLYjlfAj4OlzxMdDcf8WEYqyPQNIbR9Jg04311qRg5f6b fyLLcvycv+8dVQNx5cRt0GKphirsVSjzD9iD5t/DOb9o/ph7y5uj5lG6V/xz4fkf1nNn2V/i0Pd+ lo1H1lj1k6pdwsxoodan6c4zQzEc8CeXEHZZRcSyvPRHTuxV2KuxV2KqF9atd2U9ss8tq0yNGLiA hZY+QpyQsGAYdqg4qkL+UtZmkDz+bNV+BuUSQrYQqKLxXlxtaua/GwY8S37PH4cVY2/lv80ppGkG qTLbmBWS2k1OBJDcNGkbh3g0giMLV3+FpFLhaKqk0VRmoaZ+aryTQ2l8Io3kRba4S8tQY4Y1Ks8g k0iaskpo3FRTqOS0+JVQn0D80klLRarJLCkfqsxv7ZppZlQMFWL9EQRJ8aiP7fApVigdiwVVofLv 5mLJdK+sswmZpI7v63CZU4MVijWH9F+gvKOhd6H4v2DQNiqlN5b/ADO5xNbao0McKyTG2OpxyCW4 klNFaWXSJHWOONyVFCKhV4ft4qhbvyR+ZF8uo/W9euUFwoWyistU+qiISOJJQJF01n5KwIRzy+E0 CoKUVTry15Z8427WzatrNzCttD6foQXkV8kh9dm/etc2EUrN6KxgycwSS1FXqVU80rQ9TsrgS3Pm HUNTjClfq91Hp6oSf2q21rbvUf61MVTfFXYq7FXYq7FUn8wutIUr8XxGnttnM+0UxUI9d3O0Y5lH aV/xz4fkf1nNr2V/i0Pd+lx9R9ZYwASaDcnoM4MC9g7ZOIbPWljULNwFNlLbj8DnS4dFrxEATodx P7C4MsuK+S/6prn+/wAff/Zlv5TtD+ePn+xHiYe531TXP9/j7/7MfynaH88fP9i+Jh7nfVNc/wB/ j7/7MfynaH88fP8AYviYe531TXP9/j7/AOzH8p2h/PHz/YviYe531TXP9/j7/wCzH8p2h/PHz/Yv iYe531TXP9/j7/7MfynaH88fP9i+Jh7lk0OtxRNI09VQVIB3oPoyrNh1+OBkZ7Dz/YmMsRNUxzWf Nes2PFLSzuNRmK8ysTwoqryC1Yyuh7/sqcw9Nq8+TeWXhF1+Nv0ts8cByjatpHmXVb+3d54J7CeJ gktvO0TMGMaSbNE8ikfHTrX2yvPrtRA7ZOIHkR7yOo8kwxQP8NJtZS6pdyFY5yAu7Megy7RZtZqJ VGfLmWOWOOA3CO+o6p/y2fhm2/I6v/Vvscfxcf8ANd9R1T/ls/DH8jq/9W+xfFx/zXfUdU/5bPwx /I6v/VvsXxcf8131HVP+Wz8MfyOr/wBW+xfFx/zXfUdU/wCWz8MfyOr/ANW+xfFx/wA131HVP+Wz 8MfyOr/1b7F8XH/Nd9R1T/ls/DH8jq/9W+xfFx/zXGx1Whpeb9tsB0Os6ZV8XH/NSSbXZ4PT9e7E XquIoubKvJ2+yi16sewzn49paqXKUjTlnDDuUvrBuCZC5c1KljWtVJUjfwIzCyznKVzNltiAOTKN K/458PyP6znc9lf4tD3fpdXqPrLH7AA3sH+uv6847s8f4RD+sHY5voPuSvU/Ld5rXmjUxpvnNoZ7 Wa2lu9JglmaSzVoFEaPHDdwqnqcGlj9SLi3JuayALx9CdQhtO/LTzpYqzHz3eX0oFt6Ut7HM4T6s 6M4KQ3UCOJljKScwWp+1XmXVWW35Z+bm9WVvPl7OZkgQhROIgbe3ktzxC3fJfV5JJLxYMXUsrKSO KqJ0P8ufNOl6pZ3t353vr+2gnSWSwnEvpMB649FS07uUPrpT1WkaqCpPZV6CDXcdMVdirsVWyIsk bxnoykH5HbIZICcTE8iKTE0beV/mBoV7LPbxelI3pkSx8IxJG5jJADcorhBTmGHKNqEA0DUI5jTa eWnEhPbfndfEbju5WHOnMTqlfyfa3Ftp08c6upM5ZBIrJRTGlFQP8XBPsKT2GaztPJGWQEV9PT3n u6nm34AQGStp0GpeX9Z06f1vRvLdoJPqvH16SqyfuuYZeW+3IU8ds23s5/lP83/fOPrenxeWjyT5 Z1C81YXGi+cp5Nb5PqMl3FBHD++vYzLJGgURB+VmsjALX0zsK8VHTuCjv8H+WTqd1XTPNnp3ssts tsbO1NpbpdehaM8AMP7lI4fSVXB5LHEQDQNyVY+nkXyTexMz+XfPVvHIIGHK1iWv1VLj0y9uEMZb 9xuXQuzSKTvIxZV7Hb+fzMbcDy3rqfWJFirJZceBaAz8pKv8KjZC3Tn8PjiqX6f+a4v4EuLfyl5i ETLMSJLEI4aF4kK09Qjf1Wpv+w1K4qzPT7w3lnHcNBLbM9awTrwkUgkbj6NsVRGKuxVivmbycuqx rAOX1cXVreKIyiMslncx3Ua/ECOBeEA9+NRt1zltX2RlhlM8IEoy4tthXECD3d+34vOx6iJjUlE6 bc2KBZlp6jyOpqP2nLEbE9OWabWaXLiIOSPDY7weQA6OTjyRlyLJtK/458PyP6znY9lf4tD3fpdd qPrKQaf/AL2wf64/XnH9nf4xD+sHY5voLBPNv5MavrV5qki2GhzK96b7S7i7kv1lPMvK8c0dqYI4 1Mrf7q+1yaR+UrMz+guoS5/yb87XdvNbXOm+XYo7oSPqSC41aSKaa4uLd5WjrN6qr6Fqi0qtGFFA U8sVR8P5Q63LZmOfSPLjrLFOHSG61ZIazWNvbcY0Vwsa8oWXmNxEFAHIscVVLr8m9XueZn07Q52u JJophJPqZEdnNctO3ogSAeqeMRBIqj1IYqFUKpjoP5S2U1/dXfmrSrDiLq2ubQ2t1fCktnEscLlH l9MLyZwFFKrw5LyxVOIPyX/LS0js4bXSvq62s6XEPGecu8kSOq83eRncKshAqelB0FMVRV1+Vn5d 3U9tcz6WjyWjTrbsZ5wFa6BSYUElDz5GoOKutPyk/LyzuILi30kR3Fshjgl9e4LqhmE/HkZCaLKo Zf5f2aDFVCD8nfy2SGzSLTGMdnIs9ofrl4xV0eWQHkZiWHO5kJBJB5b4qyJNJ0/SvLsWl2EXpWNh AkFpCWZ+EcQCovJyzHiBTc5gdqRB0877m7AfWEHo86p60fqiGSQLwkYVApWvcb77ZoOwdTDHKUZG uKq+F/rcvVwJAISO48qfmKwT0PzBMLcW9UnTLSTk/poEKhmoqiRGZh3DlaiikdV40P5w+bgcJ7kb daD53eK2S286CBobqOWeRtPtZGmtkjVXgarAKXdWcyKKitAKDHxofzh814T3KB8u/mH9WWIee09Y QvG8/wCi7WpmMKosoXnxHGQNJx7149Bu+ND+cPmvCe5Hano/m2eykisPNgsrplpHctZW83BuVa8C VB+HamPjQ7x814T3IS00H8wY2Q3XneGdfSVJAumQR1lE/qGRf3rcQ0P7ria/zVrtj40O8fNeE9yl /hz8wiboSed0dJpQ9oU0+3iNsirNRW+J/X+OSKtSn2PAsrPjQ/nD5rwnuXweW/PsS+n/AI69VPqz RB5dOtTL9ZZ2YTllZFoobiI+FKAb9avjQ/nD5rwnuWf4c/MRLhJR55WSBLYxPZ/o61QPcelxEomJ lZP3nx0Kt4b93xod4+a8J7maJKgRQ8iF6DkQQAT3oK4+NDvHzXhPck+u3MMjRRxsHKVLEGoFaZy/ b+qhMxjE3V252kgRZKZaV/xz4fkf1nN32V/i0Pd+lxdR9ZSDT/8Ae2D/AFx+vOP7O/xiH9YOxzfQ WD+b/I3l3WdRvJ7nzzbWiTz3SxRyvFLJEPSniltxJNOa+jN9ZanH4BWMALGOPoLqEi0L8qfKuk3G ki286WUqxw3lhBI3DkZazOoSP1mAdCzmU1H93xoAaBVbD+UnlqC51S9m8/2Atb2ymt41MMMRhgkR Vjd5Tc8pRHFbbM/UAmo3xVl1p5f/ACla00611fXtO1DV7K49ea5jvVgM15a24imb0FncIRFRnROn XviqI0Ty9+Rul21tZafPZQQ3EY1Kzimv5WLROhQTRevMW48FI+HoPniq6z8sfkdDHJpkEtgomtwr WrahJya3kjitAwV5uXFlhjjDjuOtTiqtLpH5J3OoNcyXemSXwhOmOx1AFhGJgWgK+t19W5UEUrVl H8uKpZp/kb8gbbTvqFvdWLWkk8lvxGquA00zJMYfgnUcqRJRevEe7VVTOHyL+TN9eQ3lv9UnutTL /VJYdQlJl9S3likFvwn/AGoTJy9PrQsdxUKsyksbWx0Z7W1j9K3iQhEBJpU1O5JPU5g9pf4vP3Nu D6wx+eWW00fVNUhsX1O40+2knt9Ni5c7iREZliXirtVitBRT8jnNdiaKGacjPcRrb3/2ObqspiBX Vjuk/mPrtzqejWuofl7f6faalbGa8vPTuJhaTGaWJIJES1BJb0kYsSvFXqdhU9P/ACfg/mR+Tg+N PvKiPzM8yei8j/lzfRlbeSZUK3TEyoWCW/wWb/G/EOD9jiftep+7x/k/B/Mj8l8afeVdfzE8xTWE 81p+Xt7LdW9ykTQSrPbo9ubeSV7iJ57WN34yQtGE9ME1Q7FwuP8AJ+D+ZH5L40+8su8n6rD5h0qS +n0O40eRLiWH6pfQPDIURqxSgSJGSJI2Vjt8LVWp41x/k/B/Mj8l8afeU8+oWX++E/4EY/yfg/mR +S+NPvLvqFl/vhP+BGP8n4P5kfkvjT7y76hZf74T/gRj/J+D+ZH5L40+8tHT7EggwJQ7bCn6sB7O 05FcEfkvjT73jXnZn/Txt5E1K39O2h9Ca1Oq+jPNLLKnoE2dxZ2sLoVWrzuK8xUqq1zldNHhjvw3 xGweCxVfzoykfcB0c+Zs/wBrLNB1VNT0y3uv3SXDRRNdW8UyXAhlliSb0zLGSrUWRSGH2lIYbEZr 9Rj4JEdN62q96boGwzfSv+OfD8j+s523ZX+LQ936XWaj6ykGn/72wf64/XnH9nf4xD+sHY5voLzy 78o+RrTzF5j1DSfO2iacktzcX2qWFxBYX0lrqUjiOeeSW4laVPttGYTRQXNACaZ6C6hWvdD0u5nu vqvnfy/9bt45JNNWTTdNEtoVjmhuZfVqTR5l5SniB+74nYtiqL03QfKdhcW9trXm7QdWSALLPaXV lpqM1i9r6KqeDAqheUusjV2bhvWpVZJBa/ktC6emnl71QjXayMbN5ClzSN5y7VY+tspcn4ulTiri v5JywC8YeW5LeG3WBbk/UGRLVxIqxhzsIiscgC140DDscVVluvyfmkh4zeXpZPSWS3o1kx9FG5qy b/YVouQI2qvtiruf5Pq0Vyf0ArXbhrecizHrPIY2DRuf7wuUjoVrUhfAYqusdC/KaSe3stPsdEE0 cxnt7K3jtVPrrFUv6KAVdYmB3WoG+Kp9b+W/LtsbU2+l2kJsafUjHBEvo0UoPSoo4fAxX4exIxVE al/vDN/q5g9p/wCLz9zbg+sJXo0kkUF3JFC08ihSkKFVZj8WwLlVH0nNN7Of5T/N/wB85Ot6fFJL jzb+ZgZBb+Q2YNbyTO0mqWa8ZlDGO3IHKpfiByB4rXvvnTuCjrrzH55hcCLyi90jfWTVL+1TiIlr bg8yKtO222ydye6qG/xV+YwmiU+RmMT3MsEki6paEpCjKIrjiQKrIrMeIPJaUoa1xVGaH5h853mq paar5W/RlqYWklvRexXCq/KiRhUReXIcqkHbao3xVT8xX9jD588o2c17qUF3djUTa2dq8a2Fx6UC mT68rfG3phuUPDo1a4qxzzre+breDUfLxOrTpqS2Vp5Z1S1nsbO9udShtLm8ukWeFGWCGRNPRS8l sKSSSdIeJjVenYq7FUp1TypoOp3EVxeWkcs8DiSKRkRyrhgwdeYbiwZQarTffNdn7MxzJIMomXPh NX7/AMe9ujnkBXNK7nRrPSVjtrQv6B5MqOxfjycsVUt0UcqKo2UbCgAGc12xo44ZiiTY61+inN02 QyBtkGlf8c+H5H9Zzpeyv8Wh7v0uFqPrLHbWVYrmKRvsqwJ+Vc4rSZRjyxkeQIdnkjcSE21Dyx5U 1iRrnUdIsdRlliEDzXFvDMzQq4kWMs6sSgdQ3HpXfPQ4TjMXE2HTkEc2m8neUWVkbQ9PZXWVGU2s JBW4bnMpHHpI27/zHrk0LD5I8lnjXQNNPGEWy/6JBtApBEQ+D7AIB49MVVz5X8smBLc6RZfV4yhS H6vFwUxENGQvGg4EAr4YqhY/IXkaNYkj8u6WiwMjwKtlbgI0bM6MgCfCVaRyKdCx8TiqyL8vfIcS Rovl3TSIoTbIz2kLsIWryj5Mpbi3Nqiu9TiqLPlPyqUiQ6NYlIOPoKbaGicaceA4/DSgpTFW08q+ V0vor9NHsVvrdmeC7FtCJUdlCMySBeSkqoUkHoKYqmmKoLVp4o7ORGYc3HFV75q+19RCGCQJ3lsA 36eBMgUv0G4ijlljdgpkA4k9Phrt+OaXsDUQhOUZGuKq+F/rcnVwJAI6J7nXOvdirsVdirzb8wpd DvPOPl4ajo2pahFoU/1pprbS9SuESZnhlgeK5tpYYv3UkayODFPUAp8LVBKsMt7JLSw8w2L6BcyW HmG9guDplpp/mD6vHD9R9GW2HqW1uLNVmQKbq3SSR42oIE4oqKvcdJ1OLU9Ogv4obi3SdaiC7hkt p0IJBV4pQrqQR4UPUVFDgVF4q7FWP63cRS3CrGQ3prRiOlSemcb27qIZMoETfCHZaWBEd+qbaV/x z4fkf1nOh7K/xaHu/S4eo+spHqFjJazHb90xqjdqeGcn2joJYJnb0Hkf0Oww5RMeaEzXNzsVdirs VdirsVdirsVdirsVdirsVdirsVdirsVdirsVdirsVVbe2muJBHEtSep7AeJzI02mnmlwwH7PewnM RFllMEQhhSIbhABX5Z6DgxDHAQH8Ip1E5cRJXkAihFQeoOWEA82Kn9Wtv99J/wACMp/LYv5sfkGX HLvd9Wtv99J/wIx/LYv5sfkF45d7vq1t/vpP+BGP5bF/Nj8gvHLvd9Wtv99J/wACMfy2L+bH5BeO Xe76tbf76T/gRj+WxfzY/ILxy73fVrb/AH0n/AjH8ti/mx+QXjl3u+rW3++k/wCBGP5bF/Nj8gvH Lvd9Wtv99J/wIx/LYv5sfkF45d7vq1t/vpP+BGP5bF/Nj8gvHLvd9Wtv99J/wIx/LYv5sfkF45d7 vq1t/vpP+BGP5bF/Nj8gvHLvd9Wtv99J/wACMfy2L+bH5BeOXe76tbf76T/gRj+WxfzY/ILxy73f Vrb/AH0n/AjH8ti/mx+QXjl3u+rW3++k/wCBGP5bF/Nj8gvHLvd9Wtv99J/wIx/LYv5sfkF45d7v q1t/vpP+BGP5bF/Nj8gvHLvd9Wtv99J/wIx/LYv5sfkF45d7vq1t/vpP+BGP5bF/Nj8gvHLvd9Wt v99J/wACMfy2L+bH5BeOXevVFUUUBR4AUy2MBEUBSCbbySH/2Q== uuid:3ee94211-1568-4f28-b634-9cff51c9d463 xmp.did:03280f1f-bf89-f84c-87db-386d97b2cefb uuid:5D20892493BFDB11914A8590D31508C8 proof:pdf uuid:0910b927-c487-48c8-8105-853eab39f507 xmp.did:8e989cde-abda-5d47-8cb2-1c5937426a23 uuid:5D20892493BFDB11914A8590D31508C8 proof:pdf saved xmp.iid:f394bcb7-34e7-8b42-b6e1-5dd7b93cb682 2022-05-16T11:04:10+02:00 Adobe Illustrator 26.2 (Windows) / saved xmp.iid:03280f1f-bf89-f84c-87db-386d97b2cefb 2022-05-18T09:23:41+02:00 Adobe Illustrator 26.2 (Windows) / EmbedByReference C:\Users\marce\Downloads\flowcode.png 0 0 EmbedByReference C:\Users\marce\Downloads\noun-question-3266533.png 0 0 C:\Users\marce\Downloads\flowcode.png 0 0 C:\Users\marce\Downloads\noun-question-3266533.png 0 0 Print Adobe Illustrator False True 1 50.000000 70.000000 Centimeters Montserrat-LightItalic Montserrat Light Italic Open Type Version 7.200;PS 007.200;hotconv 1.0.88;makeotf.lib2.5.64775 False 37459 Montserrat-ExtraBold Montserrat ExtraBold Open Type Version 7.200;PS 007.200;hotconv 1.0.88;makeotf.lib2.5.64775 False 37469 Montserrat-SemiBold Montserrat SemiBold Open Type Version 7.200;PS 007.200;hotconv 1.0.88;makeotf.lib2.5.64775 False 37464 Montserrat-ExtraLight Montserrat ExtraLight Open Type Version 7.200;PS 007.200;hotconv 1.0.88;makeotf.lib2.5.64775 False 37457 Montserrat-Italic Montserrat Italic Open Type Version 7.200;PS 007.200;hotconv 1.0.88;makeotf.lib2.5.64775 False 37461 Montserrat-Medium Montserrat Medium Open Type Version 7.200;PS 007.200;hotconv 1.0.88;makeotf.lib2.5.64775 False 37462 Cyan Magenta Yellow Black Grupo de muestras por defecto 0 Blanco CMYK PROCESS 0.000000 0.000000 0.000000 0.000000 Negro CMYK PROCESS 0.000000 0.000000 0.000000 100.000000 Rojo CMYK CMYK PROCESS 0.000000 100.000000 100.000000 0.000000 Amarillo CMYK CMYK PROCESS 0.000000 0.000000 100.000000 0.000000 Verde CMYK CMYK PROCESS 100.000000 0.000000 100.000000 0.000000 Cian CMYK CMYK PROCESS 100.000000 0.000000 0.000000 0.000000 Azul CMYK CMYK PROCESS 100.000000 100.000000 0.000000 0.000000 Magenta CMYK CMYK PROCESS 0.000000 100.000000 0.000000 0.000000 C=15 M=100 Y=90 K=10 CMYK PROCESS 15.000000 100.000000 90.000000 10.000000 C=0 M=90 Y=85 K=0 CMYK PROCESS 0.000000 90.000000 85.000000 0.000000 C=0 M=80 Y=95 K=0 CMYK PROCESS 0.000000 80.000000 95.000000 0.000000 C=0 M=50 Y=100 K=0 CMYK PROCESS 0.000000 50.000000 100.000000 0.000000 C=0 M=35 Y=85 K=0 CMYK PROCESS 0.000000 35.000000 85.000000 0.000000 C=5 M=0 Y=90 K=0 CMYK PROCESS 5.000000 0.000000 90.000000 0.000000 C=20 M=0 Y=100 K=0 CMYK PROCESS 20.000000 0.000000 100.000000 0.000000 C=50 M=0 Y=100 K=0 CMYK PROCESS 50.000000 0.000000 100.000000 0.000000 C=75 M=0 Y=100 K=0 CMYK PROCESS 75.000000 0.000000 100.000000 0.000000 C=85 M=10 Y=100 K=10 CMYK PROCESS 85.000000 10.000000 100.000000 10.000000 C=90 M=30 Y=95 K=30 CMYK PROCESS 90.000000 30.000000 95.000000 30.000000 C=75 M=0 Y=75 K=0 CMYK PROCESS 75.000000 0.000000 75.000000 0.000000 C=80 M=10 Y=45 K=0 CMYK PROCESS 80.000000 10.000000 45.000000 0.000000 C=70 M=15 Y=0 K=0 CMYK PROCESS 70.000000 15.000000 0.000000 0.000000 C=85 M=50 Y=0 K=0 CMYK PROCESS 85.000000 50.000000 0.000000 0.000000 C=100 M=95 Y=5 K=0 CMYK PROCESS 100.000000 95.000000 5.000000 0.000000 C=100 M=100 Y=25 K=25 CMYK PROCESS 100.000000 100.000000 25.000000 25.000000 C=75 M=100 Y=0 K=0 CMYK PROCESS 75.000000 100.000000 0.000000 0.000000 C=50 M=100 Y=0 K=0 CMYK PROCESS 50.000000 100.000000 0.000000 0.000000 C=35 M=100 Y=35 K=10 CMYK PROCESS 35.000000 100.000000 35.000000 10.000000 C=10 M=100 Y=50 K=0 CMYK PROCESS 10.000000 100.000000 50.000000 0.000000 C=0 M=95 Y=20 K=0 CMYK PROCESS 0.000000 95.000000 20.000000 0.000000 C=25 M=25 Y=40 K=0 CMYK PROCESS 25.000000 25.000000 40.000000 0.000000 C=40 M=45 Y=50 K=5 CMYK PROCESS 40.000000 45.000000 50.000000 5.000000 C=50 M=50 Y=60 K=25 CMYK PROCESS 50.000000 50.000000 60.000000 25.000000 C=55 M=60 Y=65 K=40 CMYK PROCESS 55.000000 60.000000 65.000000 40.000000 C=25 M=40 Y=65 K=0 CMYK PROCESS 25.000000 40.000000 65.000000 0.000000 C=30 M=50 Y=75 K=10 CMYK PROCESS 30.000000 50.000000 75.000000 10.000000 C=35 M=60 Y=80 K=25 CMYK PROCESS 35.000000 60.000000 80.000000 25.000000 C=40 M=65 Y=90 K=35 CMYK PROCESS 40.000000 65.000000 90.000000 35.000000 C=40 M=70 Y=100 K=50 CMYK PROCESS 40.000000 70.000000 100.000000 50.000000 C=50 M=70 Y=80 K=70 CMYK PROCESS 50.000000 70.000000 80.000000 70.000000 Grises 1 C=0 M=0 Y=0 K=100 CMYK PROCESS 0.000000 0.000000 0.000000 100.000000 C=0 M=0 Y=0 K=90 CMYK PROCESS 0.000000 0.000000 0.000000 89.999400 C=0 M=0 Y=0 K=80 CMYK PROCESS 0.000000 0.000000 0.000000 79.998800 C=0 M=0 Y=0 K=70 CMYK PROCESS 0.000000 0.000000 0.000000 69.999700 C=0 M=0 Y=0 K=60 CMYK PROCESS 0.000000 0.000000 0.000000 59.999100 C=0 M=0 Y=0 K=50 CMYK PROCESS 0.000000 0.000000 0.000000 50.000000 C=0 M=0 Y=0 K=40 CMYK PROCESS 0.000000 0.000000 0.000000 39.999400 C=0 M=0 Y=0 K=30 CMYK PROCESS 0.000000 0.000000 0.000000 29.998800 C=0 M=0 Y=0 K=20 CMYK PROCESS 0.000000 0.000000 0.000000 19.999700 C=0 M=0 Y=0 K=10 CMYK PROCESS 0.000000 0.000000 0.000000 9.999100 C=0 M=0 Y=0 K=5 CMYK PROCESS 0.000000 0.000000 0.000000 4.998800 Brillantes 1 C=0 M=100 Y=100 K=0 CMYK PROCESS 0.000000 100.000000 100.000000 0.000000 C=0 M=75 Y=100 K=0 CMYK PROCESS 0.000000 75.000000 100.000000 0.000000 C=0 M=10 Y=95 K=0 CMYK PROCESS 0.000000 10.000000 95.000000 0.000000 C=85 M=10 Y=100 K=0 CMYK PROCESS 85.000000 10.000000 100.000000 0.000000 C=100 M=90 Y=0 K=0 CMYK PROCESS 100.000000 90.000000 0.000000 0.000000 C=60 M=90 Y=0 K=0 CMYK PROCESS 60.000000 90.000000 0.003100 0.003100 Adobe PDF library 16.04 Pages: Page: Sequence: 1 Thumb: true Checksum: 81276af8 Type: CRC32 Checksum: 6c5902a53446c46c94272f3d78acb702 Type: MD5 Checksum: dae2920ebea8339038fc2ec39c455cfd731dc04e Type: SHA-1