JezK
Edit File: 1639393681.M201182P89537.mocha3025.mochahost.com,S=20151,W=20479:2,RS
Return-Path: <data.entry@jack.ngo> Delivered-To: asady@jack.ngo Received: from mocha3025.mochahost.com by mocha3025.mochahost.com with LMTP id OE7nCpEpt2HBXQEAaMJ/gg (envelope-from <data.entry@jack.ngo>) for <asady@jack.ngo>; Mon, 13 Dec 2021 06:08:01 -0500 Return-path: <data.entry@jack.ngo> Envelope-to: asady@jack.ngo Delivery-date: Mon, 13 Dec 2021 06:08:01 -0500 Received: from [103.110.53.1] (port=53759 helo=DataEntryAssistant) by mocha3025.mochahost.com with esmtpsa (TLS1.2) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.94.2) (envelope-from <data.entry@jack.ngo>) id 1mwjBZ-000XK4-CT for asady@jack.ngo; Mon, 13 Dec 2021 06:08:01 -0500 From: <data.entry@jack.ngo> To: <asady@jack.ngo> Subject: Data ( male) (Female) Date: Mon, 13 Dec 2021 15:37:58 +0430 Message-ID: <004401d7f011$b183bcb0$148b3610$@jack.ngo> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="----=_NextPart_000_0045_01D7F037.6978A220" X-Mailer: Microsoft Outlook 15.0 Content-Language: en-us Thread-Index: AdfwEaqVcpLP+azPR8mQAcLglHbNrg== This is a multipart message in MIME format. ------=_NextPart_000_0045_01D7F037.6978A220 Content-Type: multipart/alternative; boundary="----=_NextPart_001_0046_01D7F037.6978A220" ------=_NextPart_001_0046_01D7F037.6978A220 Content-Type: text/plain; charset="US-ASCII" Content-Transfer-Encoding: 7bit Dear dr. Sahib, Kindly please receive the attached file, ------=_NextPart_001_0046_01D7F037.6978A220 Content-Type: text/html; charset="US-ASCII" Content-Transfer-Encoding: quoted-printable <html xmlns:v=3D"urn:schemas-microsoft-com:vml" = xmlns:o=3D"urn:schemas-microsoft-com:office:office" = xmlns:w=3D"urn:schemas-microsoft-com:office:word" = xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" = xmlns=3D"http://www.w3.org/TR/REC-html40"><head><meta = http-equiv=3DContent-Type content=3D"text/html; = charset=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 15 = (filtered medium)"><style><!-- /* Font Definitions */ @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4;} @font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {margin:0in; margin-bottom:.0001pt; font-size:11.0pt; font-family:"Calibri","sans-serif";} a:link, span.MsoHyperlink {mso-style-priority:99; color:#0563C1; text-decoration:underline;} a:visited, span.MsoHyperlinkFollowed {mso-style-priority:99; color:#954F72; text-decoration:underline;} span.EmailStyle17 {mso-style-type:personal-compose; font-family:"Calibri","sans-serif"; color:windowtext;} .MsoChpDefault {mso-style-type:export-only; font-family:"Calibri","sans-serif";} @page WordSection1 {size:8.5in 11.0in; margin:1.0in 1.0in 1.0in 1.0in;} div.WordSection1 {page:WordSection1;} --></style><!--[if gte mso 9]><xml> <o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" /> </xml><![endif]--><!--[if gte mso 9]><xml> <o:shapelayout v:ext=3D"edit"> <o:idmap v:ext=3D"edit" data=3D"1" /> </o:shapelayout></xml><![endif]--></head><body lang=3DEN-US = link=3D"#0563C1" vlink=3D"#954F72"><div class=3DWordSection1><p = class=3DMsoNormal>Dear dr. Sahib,<o:p></o:p></p><p = class=3DMsoNormal>Kindly please receive the attached = file,<o:p></o:p></p></div></body></html> ------=_NextPart_001_0046_01D7F037.6978A220-- ------=_NextPart_000_0045_01D7F037.6978A220 Content-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document; name="data 12.docx" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="data 12.docx" UEsDBBQABgAIAAAAIQDfpNJsWgEAACAFAAATAAgCW0NvbnRlbnRfVHlwZXNdLnhtbCCiBAIooAAC AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC0 lMtuwjAQRfeV+g+Rt1Vi6KKqKgKLPpYtUukHGHsCVv2Sx7z+vhMCUVUBkQpsIiUz994zVsaD0dqa bAkRtXcl6xc9loGTXmk3K9nX5C1/ZBkm4ZQw3kHJNoBsNLy9GUw2ATAjtcOSzVMKT5yjnIMVWPgA jiqVj1Ykeo0zHoT8FjPg973eA5feJXApT7UHGw5eoBILk7LXNX1uSCIYZNlz01hnlUyEYLQUiep8 6dSflHyXUJBy24NzHfCOGhg/mFBXjgfsdB90NFEryMYipndhqYuvfFRcebmwpCxO2xzg9FWlJbT6 2i1ELwGRztyaoq1Yod2e/ygHpo0BvDxF49sdDymR4BoAO+dOhBVMP69G8cu8E6Si3ImYGrg8Rmvd CZFoA6F59s/m2NqciqTOcfQBaaPjP8ber2ytzmngADHp039dm0jWZ88H9W2gQB3I5tv7bfgDAAD/ /wMAUEsDBBQABgAIAAAAIQAekRq37wAAAE4CAAALAAgCX3JlbHMvLnJlbHMgogQCKKAAAgAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAArJLBasMw DEDvg/2D0b1R2sEYo04vY9DbGNkHCFtJTBPb2GrX/v082NgCXelhR8vS05PQenOcRnXglF3wGpZV DYq9Cdb5XsNb+7x4AJWFvKUxeNZw4gyb5vZm/cojSSnKg4tZFYrPGgaR+IiYzcAT5SpE9uWnC2ki Kc/UYySzo55xVdf3mH4zoJkx1dZqSFt7B6o9Rb6GHbrOGX4KZj+xlzMtkI/C3rJdxFTqk7gyjWop 9SwabDAvJZyRYqwKGvC80ep6o7+nxYmFLAmhCYkv+3xmXBJa/ueK5hk/Nu8hWbRf4W8bnF1B8wEA AP//AwBQSwMEFAAGAAgAAAAhANZks1H0AAAAMQMAABwACAF3b3JkL19yZWxzL2RvY3VtZW50Lnht bC5yZWxzIKIEASigAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAArJLLasMwEEX3hf6DmH0t O31QQuRsSiHb1v0ARR4/qCwJzfThv69ISevQYLrwcq6Yc8+ANtvPwYp3jNR7p6DIchDojK971yp4 qR6v7kEQa1dr6x0qGJFgW15ebJ7Qak5L1PWBRKI4UtAxh7WUZDocNGU+oEsvjY+D5jTGVgZtXnWL cpXndzJOGVCeMMWuVhB39TWIagz4H7Zvmt7ggzdvAzo+UyE/cP+MzOk4SlgdW2QFkzBLRJDnRVZL itAfi2Myp1AsqsCjxanAYZ6rv12yntMu/rYfxu+wmHO4WdKh8Y4rvbcTj5/oKCFPPnr5BQAA//8D AFBLAwQUAAYACAAAACEAw5drt3MEAABiPQAAEQAAAHdvcmQvZG9jdW1lbnQueG1s7FvZbuM2FH0v 0H8Q9J5oX2yMPZg4aCZAp2MkafJMS5RMRCIJkrLrfk2/pV82pFYn8RiaSfsQxi+muNzDcy6XK0rW h49/lYWxgYwjgmemc26bBsQJSRHOZ+afd7+dxabBBcApKAiGM3MHuflx/usvH7bTlCRVCbEwJATm 0y1NZuZaCDq1LJ6sYQn4eYkSRjjJxHlCSotkGUqgtSUstVzbsesrykgCOZf9LQDeAG62cOVLNEIh lpUZYSUQMstyqwTssaJnEp0CgVaoQGInse2wgyEzs2J42kKc9YSUybQh1CadBRvTb2Ny2Xqg7tFi sJAcCOZrRAcZP4smK9cdyOaYiE1ZdO221PFfNwaXDGxlMgCOoZ82RmXRMD+O6NgjRkRB9BZjKDzt s2NSAoSHjn/KNXvOdYIfA3CfA9D8dYNzxUhFBzT0OrRr/NhjqZX9A1jtIO9L468jc7sGVK7AMple 55gwsCokIzlkhvS6oaa1OZc7zoqkO5VSYzuVO1Z6MzNtO/bdiTMxu6JLmIGqEHs11gsT3w3jMDpk 0tbUJmJVtMmStRe3YldAabYBxcy8UyyvGEqb5iuUonvEK1B01g+ypZy9tupI7KhUBCpBevDfCXns sGz/U90sQ4yLGyKtHJUtQJsbKhekqEq1VXf1XUHdBJPPF3Kz7nP3Tc5RnVpPtSjm6jKXqcRouIaO 1/AbURoH9ui2E889hOCEB0oj51BbX86aQUVHXrAj47pkLwvv9ssahNYj7DNE+Vp0I+IGQddd1yJp frvcseHF5IEBWl+uUQq/yDDVgrXmx+bjId4HJmlbs3wmqPfIE5ia8vwKsYLXNGoyrP6lLTE9NKod acopSCRXyiCHbAPN+QXZcUNv4fMHIu8eNNf4RXuFFU4hM5xYc5lk8w5UHt6LBBGg0H0z+vef7wtU SaOsRxjJ7X1Hb9eNAs2njeuH2ksMI0d3ifHE11yiH/m25hKDQPu16NierbnGw/cgPGEQYoTzI/ch Kmlk9/Ajib/vMO1EXqj7uolj3Xc/1/Z0P4O5rh1pLtELHd3Xou/6uofpKA41v2U+HKWXixvjDnJx CtL/w6rxdN8XgonuCie6h6/A030M49jVXKE8Y2p/HJho/75iQbAAiTDumIzR39eqkkZkDzaS5vsO x57uO7n2Twt9/Z/4ai4w0l3gRPf3Lk6oexi+hRvIoAFwaiwYEigBhbH4en99eeZMjAXgp9D8n7tc 93Oy9s8BTvretD7dD4+6hyxH9wn6R1WuIDNIZnxKBNpAYwVTbmSEDZG5DdsqQB/5+7FKGjf03Y0U corQpwj9dvWdIvTb1neK0G9bn/YRuo3LF31c7o/OowKySppv4Y7Rf8m09gOHiVj25J5Ro/nt3407 Hdf1a5eu5XUQ++2nZTSXPlSOJlSW+00TpiL6kF0RIUg55AuY7dWuIUihdEnk1tmMELGXzStRZ9vu ElJwWdq+iFdt6uKUJOqDM4WNMFwikUiWXljXWp3E+rL5QtEaPo6efwMAAP//AwBQSwMEFAAGAAgA AAAhAKpSJd8jBgAAixoAABUAAAB3b3JkL3RoZW1lL3RoZW1lMS54bWzsWU2LGzcYvhf6H8TcHX/N +GOJN9hjO2mzm4TsJiVHeUaeUawZGUneXRMCJTkWCqVp6aGB3noobQMJ9JL+mm1T2hTyF6rReGzJ llnabGApWcNaH8/76tH7So80nstXThICjhDjmKYdp3qp4gCUBjTEadRx7hwOSy0HcAHTEBKaoo4z R9y5svvhB5fhjohRgoC0T/kO7DixENOdcpkHshnyS3SKUtk3piyBQlZZVA4ZPJZ+E1KuVSqNcgJx 6oAUJtLtzfEYBwgcZi6d3cL5gMh/qeBZQ0DYQeYaGRYKG06q2Refc58wcARJx5HjhPT4EJ0IBxDI hezoOBX155R3L5eXRkRssdXshupvYbcwCCc1Zcei0dLQdT230V36VwAiNnGD5qAxaCz9KQAMAjnT nIuO9XrtXt9bYDVQXrT47jf79aqB1/zXN/BdL/sYeAXKi+4Gfjj0VzHUQHnRs8SkWfNdA69AebGx gW9Wun23aeAVKCY4nWygK16j7hezXULGlFyzwtueO2zWFvAVqqytrtw+FdvWWgLvUzaUAJVcKHAK xHyKxjCQOB8SPGIY7OEolgtvClPKZXOlVhlW6vJ/9nFVSUUE7iCoWedNAd9oyvgAHjA8FR3nY+nV 0SBvXv745uVzcProxemjX04fPz599LPF6hpMI93q9fdf/P30U/DX8+9eP/nKjuc6/vefPvvt1y/t QKEDX3397I8Xz1598/mfPzyxwLsMjnT4IU4QBzfQMbhNEzkxywBoxP6dxWEMsW7RTSMOU5jZWNAD ERvoG3NIoAXXQ2YE7zIpEzbg1dl9g/BBzGYCW4DX48QA7lNKepRZ53Q9G0uPwiyN7IOzmY67DeGR bWx/Lb+D2VSud2xz6cfIoHmLyJTDCKVIgKyPThCymN3D2IjrPg4Y5XQswD0MehBbQ3KIR8ZqWhld w4nMy9xGUObbiM3+XdCjxOa+j45MpNwVkNhcImKE8SqcCZhYGcOE6Mg9KGIbyYM5C4yAcyEzHSFC wSBEnNtsbrK5Qfe6lBd72vfJPDGRTOCJDbkHKdWRfTrxY5hMrZxxGuvYj/hELlEIblFhJUHNHZLV ZR5gujXddzEy0n323r4jldW+QLKeGbNtCUTN/TgnY4iU8/Kanic4PVPc12Tde7eyLoX01bdP7bp7 IQW9y7B1R63L+Dbcunj7lIX44mt3H87SW0huFwv0vXS/l+7/vXRv28/nL9grjVaX+OKqrtwkW+/t Y0zIgZgTtMeVunM5vXAoG1VFGS0fE6axLC6GM3ARg6oMGBWfYBEfxHAqh6mqESK+cB1xMKVcng+q 2eo76yCzZJ+GeWu1WjyZSgMoVu3yfCna5Wkk8tZGc/UItnSvapF6VC4IZLb/hoQ2mEmibiHRLBrP IKFmdi4s2hYWrcz9Vhbqa5EVuf8AzH7U8NyckVxvkKAwy1NuX2T33DO9LZjmtGuW6bUzrueTaYOE ttxMEtoyjGGI1pvPOdftVUoNelkoNmk0W+8i15mIrGkDSc0aOJZ7ru5JNwGcdpyxvBnKYjKV/nim m5BEaccJxCLQ/0VZpoyLPuRxDlNd+fwTLBADBCdyretpIOmKW7XWzOZ4Qcm1KxcvcupLTzIaj1Eg trSsqrIvd2LtfUtwVqEzSfogDo/BiMzYbSgD5TWrWQBDzMUymiFm2uJeRXFNrhZb0fjFbLVFIZnG cHGi6GKew1V5SUebh2K6PiuzvpjMKMqS9Nan7tlGWYcmmlsOkOzUtOvHuzvkNVYr3TdY5dK9rnXt Quu2nRJvfyBo1FaDGdQyxhZqq1aT2jleCLThlktz2xlx3qfB+qrNDojiXqlqG68m6Oi+XPl9eV2d EcEVVXQinxH84kflXAlUa6EuJwLMGO44Dype1/Vrnl+qtLxBya27lVLL69ZLXc+rVwdetdLv1R7K oIg4qXr52EP5PEPmizcvqn3j7UtSXLMvBTQpU3UPLitj9falWtv+9gVgGZkHjdqwXW/3GqV2vTss uf1eq9T2G71Sv+E3+8O+77Xaw4cOOFJgt1v33cagVWpUfb/kNioZ/Va71HRrta7b7LYGbvfhItZy 5sV3EV7Fa/cfAAAA//8DAFBLAwQUAAYACAAAACEAAsZ1IsUDAADiCQAAEQAAAHdvcmQvc2V0dGlu Z3MueG1stFZbb9s2FH4f0P9g6HmKJcVxHKFOYSf1miJeh8rdOyVSNmHeQFJW3GH/fYeUGDnpUHgr +mTqfOfK851Dv333xNnoQLShUsyj9CKJRkRUElOxnUdfNqt4Fo2MRQIjJgWZR0dione3b3552+aG WAtqZgQuhMl5NY921qp8PDbVjnBkLqQiAsBaao4sfOrtmCO9b1RcSa6QpSVl1B7HWZJMo96NnEeN FnnvIua00tLI2jqTXNY1rUj/Eyz0OXE7k3tZNZwI6yOONWGQgxRmR5UJ3vj/9QbgLjg5fK+IA2dB r02TM8ptpcbPFuek5wyUlhUxBhrEWUiQiiHw5BtHz7EvIHZfoncF5mniT6eZX/03B9krB4adU0kH PdJSI93xpC+DV/nDVkiNSgashHJGkFF0C7T8KiUftbkiuoLeAKeTJBo7AG5E1oVFlgBsFGHMk7xi BIHDNt9qxIGeQeJtNDlQNxp/UtKCChX7hRDSdrSZR71nTGrUMLtBZWGlAr0Dguqusx6udkijyhJd KFRBzDsprJYs6GH5u7R3MBAa+tVb+PEYTkU3amAhEId6X4zPWmLi8m80Pb8lzsBHh1s7Cfk6kITV oCkmG3fPhT0ysoLkC/qVLAT+2BhLwaO/jR/I4HsJEOEifwJmbI6KrAiyDVzTTwrmO7FiVK2p1lI/ CAwM+mnBaF0TDQEoMHIN9KFatv6ePxCEYSP/YNzxKY1gv2MTDp+ltEE1SSbZdDa97ukO6DnIbJLd pDd9lN43z90G/EOHkyPKiHcWd4iXmqLR2u3IsdMo9X5JRcBLAkNPTpGiKQMYxx1gOGJsBZMUAD9e PMfUqHtS+zNbI70d/PYa+l+lMLUfn325XUH0b1o2qkNbjVRHgKCSTia9JRX2kfIgN01ZBCsBa+oE agT+dND+nobraXMLjfSD9Ig8IbwuEfGXwrWwpBiajnRcLHr+MF243pM1UqqjULlN5xGj251NnYmF Lwwvq/8ot1mPZR7LOsx/oMoVCtr9YZBlQXaidxlkl4NsEmSTQXYVZFeDbBpkUyfbwfBq2Ld7YHM4 OnktGZMtwR8G/BtRdwlmhxS57xYtsE12gn7zmtEhJ0+w7AmmFv6wKIo5enK7P5s6816boaNs7Atd hzll9dIDRhaFOXph7Bn/Khf3AFQU2FkceTns9YsucUYNzL6CJ8BKHbBfPZZe+bfBboDUe2jsZ1Iv kSG4x7CsHrB71zqbvy6nd9NlmmZxurhbxpP75Ca+mc6WcbbIrtP3qxm8sou/+6EMf85u/wEAAP// AwBQSwMEFAAGAAgAAAAhAC3aPrK9AQAA9QUAABIAAAB3b3JkL2ZvbnRUYWJsZS54bWzck99q2zAU xu8Heweh+8ay47SdqVPWrYHB2EVpH0BRZFtMf4yOEjdv32PJSS9CoL1YobNBSN85+unoQ+fm9tlo spMelLM1zWeMEmmF2yjb1vTpcXVxTQkEbjdcOytrupdAb5dfv9wMVeNsAIL7LVRG1LQLoa+yDEQn DYeZ66XFYOO84QGXvs0M93+3/YVwpudBrZVWYZ8VjF3SCePfQnFNo4T86cTWSBvi/sxLjURnoVM9 HGjDW2iD85veOyEB8M5GJ57hyh4xeXkCMkp4B64JM7zMVFFE4facxZnRr4DF+wDFEWBE9au1zvO1 RvOxEoIwupzcJ0NlucHAD67V2qsY6Ll1IHOM7biuKSvYii1wHP+SzceRZmOi6LgHOUJSIktyw43S +4MKgwJIgV4F0R30HfdqLCqFQLUY2MKa1fS+ZKy4X61oUnKsjqFSXt1NSjGeFb9vkzI/KmxUROTE ZZ44InKOOXhmlhw4ceI7lqXP+HDHLtGB5ER049/6MN76xIer68WH+PCojATyRw7kwRluzzhSoCNz fB1lfCHzdzniI/fzODL1CPmt2i6c7ZSxP/7TTpkmsHwBAAD//wMAUEsDBBQABgAIAAAAIQB0lZk1 fAEAAJEDAAAUAAAAd29yZC93ZWJTZXR0aW5ncy54bWyUk01uwjAQhfeVeofIe0hAQGlEQEKIqlJV VS09gOM4iVXbY9mGFE7fSfht6YKsPH6T92VGL5nMvpUMNtw6ATohvW5EAq4ZZEIXCflcLTtjEjhP dUYlaJ6QLXdkNr2/m1RxxdMP7j0+6QKkaBcrlpDSexOHoWMlV9R1wXCNzRysoh6vtggVtV9r02Gg DPUiFVL4bdiPohE5YOwtFMhzwfgC2Fpx7Rt/aLlEImhXCuOOtOoWWgU2MxYYdw73UXLPU1ToE6Y3 uAIpwSw4yH0XlzlM1KDQ3ouaSskzYNgO0D8BFIufCw2WphIjwEkChJEpZpCJjTucQRWLDCN86I8e o+Fg3PRTyLaLprehEpskrFVM4IXn/qhGJ/VdFOU/8grMtTgH70H90XGOeWbryp89Gr8cghe3q5+r C0MZP9QMJGDgdO1hj5AXk7Vzpr8maue1l5u3sYbnpffl8WxyAeOFEju+BDu3UDlum7dRKaF6e33a +y9+pOkPAAAA//8DAFBLAwQUAAYACAAAACEAr9tFOeMBAADlAwAAEAAIAWRvY1Byb3BzL2FwcC54 bWwgogQBKKAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACcU8Fu2zAMvQ/YPxi6N3KSpSgC WcWQYOhhXQPETc+qTCfCZEmQ1KDZ14+yE0/ZdqpP75HU0xNJs/v3ThdH8EFZU5HppCQFGGkbZfYV ea6/3dyRIkRhGqGtgYqcIJB7/vkT23jrwEcFoUAJEypyiNEtKQ3yAJ0IE0wbzLTWdyIi9Xtq21ZJ WFv51oGJdFaWtxTeI5gGmhs3CpJBcXmMHxVtrEz+wq4+OdTjrIbOaRGB/0gnNaNjgNU2Cl2rDvgM wyNhG7GHwKeMDoC9WN8EvpgzOiC2OggvZMTe8Xl5y2jG2VfntJIiYlf5o5LeBtvG4qm3WqTzjOYl DO1vQb55FU+8ZDSn7LsyeD+aGwAa82LvhTuc3Y2MbaXQsMKH81boAIz+CbAHEGmoG6GSv2NcHkFG 64ugfuFYZ6R4FQFSuypyFF4JE8lQNpAeaxei57WKGrVH3sO8LMfqSzI5gOvCnvQeEF+7628ITy2+ Lf7H7DQ323sYrGZ2cmeXO/5SXdnOCXPij9Z63K5iXhbr3TrgHM+J1Pif4dnVdp0W5dzS62C2BC8q HrZOSBzRfHGXr0OWYVuMQoPzHUc0BtgDPsjrpI9nzR6aS82/ibRgu+Gv5dPFpMSv36hLDPdi/J34 bwAAAP//AwBQSwMEFAAGAAgAAAAhADX8sz90AQAA+wIAABEACAFkb2NQcm9wcy9jb3JlLnhtbCCi BAEooAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIySQU/DIBSA7yb+h4Z7S+nMYpquS9Qs HlxishmNNwZvG65QAmy1/17arp2NO3h7j/fx8XiQzb9lEZzAWFGqGSJRjAJQrORC7Wbobb0I71Fg HVWcFqWCGarBonl+e5MxnbLSwKspNRgnwAbepGzK9AztndMpxpbtQVIbeUL54rY0kjqfmh3WlB3o DnASx1MswVFOHcWNMNSDEZ2VnA1KfTRFK+AMQwESlLOYRARfWAdG2qsb2sovUgpXa7iK9sWB/rZi AKuqiqpJi/r+Cf5Yvqzaq4ZCNbNigPKMs9QJV0Ce4UvoI3vcfAFz3fKQ+JgZoK40+YrWwIMVlcIE z3QjNqJF+3Iz+APUVWm49ZJR5jEOlhmhnX/O7ojRgqcLat3Sv+9WAH+or572l2o2GjiJ5pfkpCWG NDuPvOvQy/yo0m6wfeV98vi0XqA8iRMSkiQkkzUhaXyXxvFn0+Ro/0Uozw383zgdG3tBN6fxd81/ AAAA//8DAFBLAwQUAAYACAAAACEAOEcwLJULAAA+cwAADwAAAHdvcmQvc3R5bGVzLnhtbNSd23Lb OBKG77dq3oGlq9mLxJaPSWqcKdtJ1q7JwRM5k2uIhCysSUILknE8T78ASEqQm6DYYK+r9sqWqP4A 4u8fRPMg/fb7zyyNfnBVCJmfTaYv9ycRz2OZiPzubPLt9sOLV5OoKFmesFTm/GzyyIvJ729/+cdv D2+K8jHlRaQBefEmi88my7JcvdnbK+Ilz1jxUq54rjcupMpYqV+qu72Mqftq9SKW2YqVYi5SUT7u Hezvn0wajBpCkYuFiPk7GVcZz0sbv6d4qokyL5ZiVbS0hyG0B6mSlZIxLwq901la8zIm8jVmegRA mYiVLOSifKl3pumRRenw6b79L0s3gGMc4GANyOI313e5VGye6tHXPYk0bPJWD38i43d8waq0LMxL daOal80r++eDzMsienjDiliIW92yhmRC867O80JM9BbOivK8EKxz49L807klLkrn7QuRiMmeabH4 W2/8wdKzycFB+86l6cHWeynL79r3eP7i28ztifPWXHPPJky9mJ2bwL1mx+q/zu6unr6yDa9YLGw7 bFFynVnTk30DTYVJ5IPj1+2Lr5UZW1aVsmnEAuq/a+weGHGdcDr9ZrUL9Fa++Cjje57MSr3hbGLb 0m9+u75RQiqd6WeT17ZN/eaMZ+JKJAnPnQ/mS5Hw70uefyt4snn/zw82W5s3Ylnl+v/D06nNgrRI 3v+M+crkvt6aM6PJZxOQmk9XYtO4Df9PC5s2SnTFLzkzE0A0fYqw3UchDkxE4extN7N6su/2U6iG Dp+roaPnauj4uRo6ea6GTp+roVfP1ZDF/C8bEnnCf9ZGhM0A6i6Ox41ojsdsaI7HS2iOxypojscJ aI4n0dEcTx6jOZ40RXBKGfuy0En2Q0+293N3HyPCuLsPCWHc3UeAMO7uCT+Mu3t+D+Puns7DuLtn 7zDu7skaz62XWtG1tllejnbZQsoylyWPSv5zPI3lmmWrIhqeOehxRbKTBJh6ZmsOxKNpMbOvd2eI NWn48bw0hVwkF9FC3FVKF9NjO87zHzzVZW3EkkTzCIGKl5XyjEhITiu+4IrnMadMbDqoqQSjvMrm BLm5YndkLJ4nxMPXEkkmhXVC6/p5aUwiCJI6Y7GS47smGdn88FEU48fKQKKLKk05EeszTYpZ1vja wGLGlwYWM74ysJjxhYGjGdUQNTSikWpoRAPW0IjGrc5PqnFraETj1tCIxq2hjR+3W1Gmdop3Vx3T 4efuLlNpzmOP7sdM3OVMLwDGH26ac6bRDVPsTrHVMjJnpbux7j5j27mQyWN0S3FMW5Oo1vU2RS71 Xou8Gj+gWzQqc615RPZa84gMtuaNt9gnvUw2C7QrmnpmVs3LTtNa0iDTzlha1Qva8W5j5fgM2xjg g1AFmQ26sQQZ/NksZ42cFDPfppfjO7ZhjbfV01mJtHsNkqCXqYzvaabhq8cVV7osux9N+iDTVD7w hI44K5Wsc821/IGVZJDl32erJSuErZW2EMMP9e0V8OgTW43eoZuUiZxGt/cvMibSiG4FcXX76WN0 K1emzDQDQwO8kGUpMzJmcybw1+98/k+aDp7rIjh/JNrbc6LTQxZ2KQgOMjVJJkQkvcwUuSA5hlre H/xxLplKaGg3itc3nZSciDhj2apedBB4S8+LD3r+IVgNWd5fTAlzXojKVLckMOe0YVHN/83j8VPd ZxmRnBn6UpX2/KNd6tpoOtz4ZcIWbvwSwaqpDw8mfwl2dgs3fme3cFQ7e5myohDeS6jBPKrdbXnU +zu++Gt4MpVqUaV0A9gCyUawBZINoUyrLC8o99jyCHfY8qj3lzBlLI/glJzl/UuJhEwMC6NSwsKo ZLAwKg0sjFSA8XfoOLDxt+k4sPH36tQwoiWAA6PKM9LDP9FVHgdGlWcWRpVnFkaVZxZGlWeH7yK+ WOhFMN0hxkFS5ZyDpDvQ5CXPVlIx9UiEfJ/yO0ZwgrSm3Si5ME8jyLy+iZsAac5Rp4SL7RpHJfJ3 PifrmmFR9ovgjChLUymJzq1tDjg2cvvetV1h9kmO0V24SVnMlzJNuPLskz9W18uz+rGMp9233Rh0 2vOjuFuW0Wy5PtvvYk72d0a2BftW2O4Gu8b8pH2epSvsE09ElbUdhQ9TnBwOD7YZvRV8tDt4s5LY ijweGAnbPNkduVklb0WeDoyEbb4aGGl9uhXZ54d3TN13JsJpX/6sazxP8p32ZdE6uLPZvkRaR3al 4GlfFm1ZJTqPY3O1AKozzDP++GHm8cdjXOSnYOzkpwz2lR/RZ7Cv/IcwR3bMpGnbW989AeZ9u4ge NHP+Wcn6vP3WBafhD3Vd64VTXvCok3M4/MLV1izjH8fB040fMXje8SMGT0B+xKCZyBuOmpL8lMFz kx8xeJLyI9CzFTwi4GYrGI+brWB8yGwFKSGz1YhVgB8xeDngR6CNChFoo45YKfgRKKOC8CCjQgra qBCBNipEoI0KF2A4o8J4nFFhfIhRISXEqJCCNipEoI0KEWijQgTaqBCBNmrg2t4bHmRUSEEbFSLQ RoUItFHtenGEUWE8zqgwPsSokBJiVEhBGxUi0EaFCLRRIQJtVIhAGxUiUEYF4UFGhRS0USECbVSI QBu1ftQw3KgwHmdUGB9iVEgJMSqkoI0KEWijQgTaqBCBNipEoI0KESijgvAgo0IK2qgQgTYqRKCN ai8WjjAqjMcZFcaHGBVSQowKKWijQgTaqBCBNipEoI0KEWijQgTKqCA8yKiQgjYqRKCNChF9+dlc ovTdZj/Fn/X03rE//NJV06mv7qPcLupwOKrtlZ81/FmECynvo84HDw9tvTEMIuapkPYUteeyusu1 t0SgLnx+uex/wselj/zSpeZZCHvNFMCPhkaCcypHfSnvRoIi76gv091IsOo86pt93UhwGDzqm3St L9ubUvThCAT3TTNO8NQT3jdbO+FwiPvmaCcQjnDfzOwEwgHum4+dwOPITM5Po48HjtPJ+v5SQOhL R4dw6if0pSXUqp2OoTGGiuYnDFXPTxgqo5+A0tOLwQvrR6EV9qPCpIY2w0odblQ/ASs1JARJDTDh UkNUsNQQFSY1nBixUkMCVurwydlPCJIaYMKlhqhgqSEqTGp4KMNKDQlYqSEBK/XIA7IXEy41RAVL DVFhUsPFHVZqSMBKDQlYqSEhSGqACZcaooKlhqgwqUGVjJYaErBSQwJWakgIkhpgwqWGqGCpIapP ansWZUtqlMJOOG4R5gTiDshOIG5ydgIDqiUnOrBacgiB1RLUqtUcVy25ovkJQ9XzE4bK6Ceg9PRi 8ML6UWiF/agwqXHVUpfU4Ub1E7BS46olr9S4aqlXaly11Cs1rlryS42rlrqkxlVLXVKHT85+QpDU uGqpV2pctdQrNa5a8kuNq5a6pMZVS11S46qlLqlHHpC9mHCpcdVSr9S4askvNa5a6pIaVy11SY2r lrqkxlVLXqlx1VKv1LhqqVdqXLXklxpXLXVJjauWuqTGVUtdUuOqJa/UuGqpV2pctdQrtada2nvY +gEmw7Y/SKY/XD6uuPkObueBmaT+DtLmIqD94HWy/qEkE2x6EjU/SdW8bTvcXDCsW7SBsKl4qduK m29P8jTVfAvq+jEe+x2oTxv2fFWq7chmCNpPN0O6fZ2zt6OlGeOeTloNegellsnXo9dN3m2uznb3 UPdnnta/0qX/uc4TDXhofqGq7mnyk9Uovf2Sp+knVn9arvwfTfmirLdO9+1T8k+2z+svfPPGKzsz eAF7252pXza/FOYZ7/or4JtL1t4cNOnfMdz2/omxIz0gF7bVN2cuQGdqb9pN9UgyTf9iDLzZ7JoG 9rd9OlkVwoht39vfPzo4edXeVuP71Tb3N9uO1i+6f7MNl1cXUiVc2amjzivbK/Ptyc3A/K1nUvuP 7hNf//6anp42La+zLih2nZFB0W2+BgWLXCvBr8aF/xUWXlvHHf7/J5O3/xVv/wsAAP//AwBQSwEC LQAUAAYACAAAACEA36TSbFoBAAAgBQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNd LnhtbFBLAQItABQABgAIAAAAIQAekRq37wAAAE4CAAALAAAAAAAAAAAAAAAAAJMDAABfcmVscy8u cmVsc1BLAQItABQABgAIAAAAIQDWZLNR9AAAADEDAAAcAAAAAAAAAAAAAAAAALMGAAB3b3JkL19y ZWxzL2RvY3VtZW50LnhtbC5yZWxzUEsBAi0AFAAGAAgAAAAhAMOXa7dzBAAAYj0AABEAAAAAAAAA AAAAAAAA6QgAAHdvcmQvZG9jdW1lbnQueG1sUEsBAi0AFAAGAAgAAAAhAKpSJd8jBgAAixoAABUA AAAAAAAAAAAAAAAAiw0AAHdvcmQvdGhlbWUvdGhlbWUxLnhtbFBLAQItABQABgAIAAAAIQACxnUi xQMAAOIJAAARAAAAAAAAAAAAAAAAAOETAAB3b3JkL3NldHRpbmdzLnhtbFBLAQItABQABgAIAAAA IQAt2j6yvQEAAPUFAAASAAAAAAAAAAAAAAAAANUXAAB3b3JkL2ZvbnRUYWJsZS54bWxQSwECLQAU AAYACAAAACEAdJWZNXwBAACRAwAAFAAAAAAAAAAAAAAAAADCGQAAd29yZC93ZWJTZXR0aW5ncy54 bWxQSwECLQAUAAYACAAAACEAr9tFOeMBAADlAwAAEAAAAAAAAAAAAAAAAABwGwAAZG9jUHJvcHMv YXBwLnhtbFBLAQItABQABgAIAAAAIQA1/LM/dAEAAPsCAAARAAAAAAAAAAAAAAAAAIkeAABkb2NQ cm9wcy9jb3JlLnhtbFBLAQItABQABgAIAAAAIQA4RzAslQsAAD5zAAAPAAAAAAAAAAAAAAAAADQh AAB3b3JkL3N0eWxlcy54bWxQSwUGAAAAAAsACwDBAgAA9iwAAAAA ------=_NextPart_000_0045_01D7F037.6978A220--