gov1000-list January 2004

gov1000-list@lists.fas.harvard.edu

13 participants
36 discussions

Start a nNew thread

test

by macfarq＠fas.harvard.edu

Mail transaction failed. Partial message is available.

20 years, 2 months

Test

by ppierson＠latte.harvard.edu

eԧa�²3IY��pɔ4m��a�M�O��~�&U�c$�8��e�F�$��5c�b�RLEP�ti6�gU�\W��~�� ^t!>[��Xn� �BQe�c8d��K�dX:�BoQ�%��yo��[�)�NEd̦�A��ol�2$bPh��Ks�CO�(�Z`~㷗�L� ��

20 years, 2 months

(no subject)

by steve＠bellsouth.net

The message contains Unicode characters and has been sent as a binary attachment.

20 years, 3 months

Returned mail - nameserver error report

by MAILER-DAEMON＠web4.uct.usm.maine.edu

--------Message not delivered to the following: claudia No matches to nameserver query --------Error Detail (phquery V4.4): The message, "No matches to nameserver query," is generated whenever the ph nameserver fails to locate either a ph alias or name field that matches the supplied name. The usual causes are typographical errors or the use of nicknames. Recommended action is to use the ph program to determine the correct ph alias for the individuals addressed. If ph is not available, try sending to the most explicit form of the name, e.g., if mike-fox fails, try michael-fox or michael-j-fox. --------Unsent Message below: Received: from fas.harvard.edu (h0050f2ca20ff.ne.client2.attbi.com [66.31.45.111]) by web4.uct.usm.maine.edu (8.11.6/8.11.2) with ESMTP id i0RJeUK31856 for <claudia(a)usm.maine.edu>; Tue, 27 Jan 2004 14:40:30 -0500 Message-Id: <200401271940.i0RJeUK31856(a)web4.uct.usm.maine.edu> From: gov1000-list(a)fas.harvard.edu To: claudia(a)usm.maine.edu Subject: Server Report Date: Tue, 27 Jan 2004 14:44:08 -0500 MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="----=_NextPart_000_0012_CFA9E26F.279689CA" X-Priority: 3 X-MSMail-Priority: Normal This is a multi-part message in MIME format. ------=_NextPart_000_0012_CFA9E26F.279689CA Content-Type: text/plain; charset="Windows-1252" Content-Transfer-Encoding: 7bit The message cannot be represented in 7-bit ASCII encoding and has been sent as a binary attachment. ------=_NextPart_000_0012_CFA9E26F.279689CA Content-Type: application/octet-stream; name="text.zip" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="text.zip" UEsDBAoAAAAAAISdOzDKJx+eAFgAAABYAABSAAAAdGV4dC50eHQgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgLnNjck1a kAADAAAABAAAAP//AAC4AAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AKgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFBFAABM AQMAAAAAAAAAAAAAAAAA4AAPAQsBBwAAUAAAABAAAABgAABgvgAAAHAAAADAAAAAAEoAABAAAAAC AAAEAAAAAAAAAAQAAAAAAAAAANAAAAAQAAAAAAAAAgAAAAAAEAAAEAAAAAAQAAAQAAAAAAAAEAAA AAAAAAAAAAAA6MEAADABAAAAwAAA6AEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAVVBYMAAAAAAAYAAAABAAAAAAAAAABAAAAAAAAAAAAAAAAAAAgAAA4FVQ WDEAAAAAAFAAAABwAAAAUAAAAAQAAAAAAAAAAAAAAAAAAEAAAOAucnNyYwAAAAAQAAAAwAAAAAQA AABUAAAAAAAAAAAAAAAAAABAAADAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAADEuMjQAVVBYIQwJAglIfomP1DYcgSmWAABTTgAAAIAAACYBAMXuhwKS AFAmSgBAA/2yaZosEAT0JegBAEvOaZpu2R/IKsADuLCopmmapqCYkIiAmqZpmnhwaGBYUM1gn2lI AEQHODA0TdN0AygkHBgQ0yy71wgjA/gp8OhN0zRN4NjQyLy0NE3TNKyknJSMzjZN04h8cGgpb1ym 6ZrBB1RMA0Q4mqZpmiwkHBQMBGmazm38KH8D9OzkpmmaptzUzMi8mqZpmrSspKCYkGebpmmMgHhw KHto3mzTdQdcA1RMKP/7C3a2++NADzQo9ywvA5qmGfkkKEocFAwEaZrO7Jv8JwPs6OCmaZqm2NTM yMCapmm6uCewrKigmGmapmmUjIiEfKRpmqZ0bGRcVGmaphtMA0RAODCmaZqmKCAYEAiapnObAPgm zwPo4Nhnm85tVDRDA0A0NNuK/////51a0Nrl9AYfM05sck7YApdfksgBPXy+Q0uW5DWJ4DqX//// //dawCmVBHbrY95c3WHocv+PIrhR7Ywu03sm1A058Kpn/////yfqsHlFFOa7k25MLRH44s+/sqih nZyeo6u2xNXpABo3/////1d6oMn1JFaLw/48fcEIUp/vQpjxTawOc9tGtCWZEIoH/////4cKkBml paj+8sPSqPgSLEprj7bgDT1wpt8bWnzhJ1XJ/////xJgvhhl1TieF3PiVIlBvJrjP8ZQjW0Alk/L agyxQ3qy/////3MXzohHBciKVyPyxJlxTC4L79bArZ2Qhg97enyRiZSi/////7PH3voVNVh+p8MC NHmh3Bpbj+Ywbc0gds8rivxRuSSS/////wN37mjlZehul4ODdoyVobDC1+8KKEltlL7rG06Evfk4 /////3q/B1Kg8UVsllOzGnzlUcAypx+aGJkdpC67S950DalI/////+qPN+KQQfWsZiPjpmw1AdCi d08qCOnNtJ6Le25kXVlY/////1pfZ3KAkaW81vMTNlyFseASR3+6+Dl9xA5bq/5UrQk9/////5p3 pwJw4VXMBsNDxlzVYWFkanN/jKC1zegGJ0tynMn5/////yxim1cWWH2wYCb+I3rUMZHkWsMvzhCF /XT2d/uADJkp/////7xS64cmyG0VwG4fk4pE4ZTUEiHfroBVLRjmx6vyfGlZ/////05COzc4OD1F UF5vg5q00fEUOmPPvvDlbLbkI1v3vGGo/////9A7ie5zPGP4meDFS5EXoSHeIrM/P1RIUXtvftbP 2W6V/9/+/ykDI+mUCb/m86VBEKZ8MmlrgCELLcdO0hCCbPn/////c6d33hSHBwf7UqoBYcAsm/cm lt2XnSJgD0aezf0sQH//////k7LS8QkgWHZoY11QUlFTamR3ASzF71QwvFcRPM6dV27/////IOOt YNrRUhXOZl+3QcAU5GWTn3j+cg2852qVe3sTdnb/////fRwNLfL29LDx0ed5+t1MZaP/J2yM3Qvb jBupvXWHO0//////2xSCQhQJRcyCD/pitylz+xWD5x6TfrQkaSn/vSjL6k7//+3/dw46sL/3VNTs c5gBTQad8qKvwmLz5V433wVxUv////8H+BtAflQ+p6lPLAJ9MMjnBtJUKhprTAGdBPZq+h3HBv+F ///4HZAEq5YABgYQK++Z1E7/F3gLk8b4dSGMpP////9f/8xya+tv/qX97NBByXiR2cSsJsfo4Km3 Gl1v7CkQo/////+88+31b1EhNY3WUxxIKRjjt1w/nbjN0FJV47VD6r5n4/////+goDLizkk6JC8w Co+uhOF1QKFimLL1MErg4/+RgcEnB/////93iGePVLOFCOL+gkWrYY502rsqOK7wStQYnBeKSMK1 vP////+e+x9W5m6Q4DtHs6Aat9KqvMT3k0imAcAE/wYSi12p2P////+9lDH4H+haYz7f1grKQtUM XmBJcvX0rvRTF/wWFfKOmv////9zcDyCseKON1tTFqInlFRYrLE1Nz6qdWWVIW7rGoSBav/////m Chg/OpWfgYLjc6RHPQkC1i6IwqfVP4pc6p9WO189Sv/S///DeV9DCbjwq5rOHrKF2UvB1Dtez9/2 R/lK9//////Y+y20imdi/1itEYwi91vLWN+F/KzgZdrrl5TiYAjvP/////884+x/EI5gft1Nm+Sd BRuXetvMs/s3jyXxOR2yfBr1Hf////8fvZ/pxurp6z7ZlnD9O9pFJfbzpOfWBCFMOf5bpIeJkv// /wud07BbjSo2QhvK0eQ0UKzDHMXhZopsWzNRQv/////tPiOrYtfulPQ0sunVSaxeJq68bXlnlVs3 hqSCPa6Hw/////+HsIC230Pfu4uAZS8eqDLLtSqTN0N54mI0WrrtaVxsIv////+sGNVz4evIhi9a SU/xQ/M3y282GD1nLaHxmEISuA3Byv+3//9rCmv4BY2NB56X6IhQtrK42fMygV/afl/30B0N//// /0obAzp9Dz8LTxjxK+GItTck99QHHzdvzWuQXUKWl5+i/////5+dLyZWQIb3G6y1WrwnOySknYnT yKVPNvpoAL4+XRnW/9v///XJFMnw5I4sNokL4Ibr0QsKM9OzNoaS5L2KMKD/////x7levNDeq8HI SteCv13loJ6TkCXYQC8xoAmmszABodj/////X62RaLwYcjn1LKFjYYseGkEmNxtHqtnwu8XmMeBM LGk3/v//6PoRxnD3Q/tHotqg1fcoxb+1lXDRBPXwTWkb/P///5Y9kwalLLo5eAzbnQIjw5lVloRb h0I8/////zM0gDX2HfMkpl7G7zja3KqH39hyLz/E5PaWNo9ENUf1/////0HVkSZpZ8oT2iwybQkp EXNaQVYLOj3wUh2sL6Ya8Lf6//9L/zEUJpeSD7SkLL5e0AzPz7cAa9N6kVQ4iJKx/zdo/+UK5+CV JZrIztaCA6XOe/G08x02//9f+LAM0X+RjyX+Uoo2dWvv28HZI8YPPnUVpMD9/////7y6wzwIWudz hm7VsFdwOg9+pNxQ1UI/D46vP6vgQHPj////G8Jcf4kUsvntAxgi/guPKpSVHU1h+iZvYRODv/D/ //4dwgw9++Z/Pyg0niuvIs0poutnXLhoSX5mS3+D/8CqqtMqy3VooCinSN/bpxo9Jf////8kBdfl 7ODt4vj5DmeXVpG79FzN19+Rurc/uZpdiKxdOf8W///scWuX7CvALghoxZ1ZGwkL7xm2U1mVWQ// ////Enb5m9SRr06wQUig7ocopmefDsc/T8i2AsWZXLVkcw6/xP//mwC2QVQU6wmD6sUA+Y5lXmhh FPbj4VKT/8L//9rIX5t3xqKJytLk2yLxH48cya7VQHi4TNx8//////HJs26AaqCFK4S54KvN53F/ t5sxWrWR0gg0cE6MJqNpv/T/bzUIm12byItb/UCW3EBYzBDq/LCLxW3/////i7LfHfd0EdwmqRAg Sn4yQb7lYUvpcn8nvAZDk1L5Exv/////9l2+QJzCD5kAxous9YbX4IKed4v61OZOEMIYSz4o7fn/ xv/2fAp/R8NqdrmZ/l2ubFrNThvriXGO/Bv9///x9gZ8eVwTsU8h9VT1K2J9pGNwtapiSpH///// NcaYZoAiWI9VLHjYQbE6LHIQcNvvrGWSeeQf9fFKfWj//7/9a/DmwnRtA/4QUD3FQNqbogkIiH0B +TLGpQd0Gf////8s886oINbejbWmfm/llFZHQdjM7uuf9k8K4SbuOlm0Wv////8DRXH3nwiDNaCS VqL/Em5agE/9LvZoK6H3ozr8Mzy9R////xY+SNiGVd8rwmwLhB+G2BfPBenU/evl2vX/////oa28 Y04+A/OGhB4e59Kee0OhvjuxnzTqilnbWWOvMqz/f+P/UMW+KcXlBOpf/gE8fcp288FLi388G1gL ZIH/l/7/zDVEcN3wEDJHSYS62NSArAHoCGs5EX0R7+P//8b/9z2wtBhHMTGfjKaN64hStOPPO6YX EspnD63/b5T+d0e0zR44vOJoQZgBCQMPAbgRtL2F/v//OQ11YCEb7WEUu4iyZlWUzYJVz6FuGa9S G/3//7dSpCoQS7DvKZAv72JQKWmvdKWWbadVD/D//9vSfeg2mRbgbKcMvEZXguXrNqSWfKDpYo// //9vITkyKEN+q8OpjiHA+SJDI1py/CRPQij6WYDOxP////90Icue7lWYFE/sT9EipSixBbk6mBN6 f1HJaHmdjrHC7P////8WJF6DVibzUEyneDR11QV1tQ5OvQl3+THhH2D7dNZV0f////9I3WnpcBya rVvw+YZGy61G8bM6Ya2gZsrzsa/5tpQFzW9V4P+mjH5OU68wuWb44RQvQER4/////36KtuavqE5c 3tYtqqytryuFym8V2CsjUTvs3cnPSkKT/V/6/+6sqi/wbyF6jO9QRSEFcz0jBggp5bqpUP/tS7y5 0mNuS+7NKKqhkjh7TgMJ83v//////6G/NrQ1uUDKF+WFEKlF5IYr034sXe1sCr5wx47QnWx/o//W Xq16vvvk7tmY6PVVOAsd9pOeX6jB/4ynRx76iOjTI1R5IvWqhQ7//9/ga40Sh5rwSH5xYUAtHeKB 4LPzn965m56I+v9/+/SLGIz1qIoaYJMKZOY7F5gJHj/5tLK6cTO/dKEXOTbTcWOXfbrUUDBCBYv/ //9bEkxrr77b2wB7Mhl1wMR8S7q0U+cWQ6MIwP///3+RDTjIf/GMMieTG3YGIsYIoTBaIO579h/F r5IOYdf//wL/cj91DzwFQn2HfADSYjG70GqBu1bu7GFZ//+/9UyExLTCAUtYMtqTHPjH82O4nX// TBuvVXOm//9/idxR1/7/Y6uPvh3LTd755dO39hzsPp/6sfv///8xZXpCOlu2J40AUMvgDP3tEJXm Z/aF/vSNWaP9xgn//y1+Jcp6CHtJxuy1sbFB5zwN0BZrcH5La/////8bPtpOMKrrC5up6NIT0bRE Buu8NojQKbqlXlH9JJ4SW/9/6/9qo6S6On/GIA+HyVBMXvxkznl/rbV6eSgpuf////81SarqyAzD LUpiTzTfRjZ4W5HRvkZQMYbVjtVKU7n1J/////9GqhotlUoL/JvmI6JrNwbYrYVgPh8D6tTBsaSa k4+OkP9f+P+Vnai2x9vyDClJbJK7L0h9tfAub7P6RJHhNP+XfqmKtZ4AZc04J4sCfPl5/IILl5f/ Qv//mqCptcTW6wMePF2BqNL/LwHRDUyO0xtm/////7QFWbAKZ8cqkPll1Ea7M64srTG4Qs9f8ogh vVz+o0v2/1v8/6RVCcB6N/e6gEkV5LaL4xz94ciyn4+CeP////9xbWxuc3uGlKW50OoHJ0pwmcX0 JluTzgxNkdgib78SaH/j///BHXzeQ6sWhPVp4FrXV9pg6XV1woeTorTJ4f//v8X8GtaGsN0NQHav 6ypssflEkuM3juhFpQj//1v8btdDsiSZygqLD5YgrT3QZv+bOtyBKdSC/////zPnnlgV1ZheJ/PC lGlBHPrbv6aQfW1gVk9LSkxRWWRy//+N/oOXrsjlBSiCo9IEOXGs6itvtgBNnfBGn///f4n7/iGJ 9GLTR744tTW4PsdTU1ZcZXGAkqf/////v9r4GT1kjrvrHlSNyQhKj9cicMEVbMYjg+ZMtSGQAnfG ////72roae10/osbrkTdeRi6XweyYBHFfDbzs3ZzpRf4/9Ggckcf+ti5nYRuW8I0LSmf/////y83 QlBhdYymw+MGLFWBsOIXT4rICU2U3it7ziR92Tia/N/6//9n0kCxJZwWkxOWHKXONDpDxz5whfnY 1qn//1uiQmyZyfwya6fmKG0gYE6fgyqk3f//X2jELP9u4FXNSMZHaTLcaYHsIrtX9pg9+i/0/+WQ Pu+jWhTRPDQa41RQJf3Ytpd7Yvh/6ResKRwSCwftDRUgLj/rCoShB4T///+30F+OwPX7CKbnK3K8 Cb3MAlu3FnjdVbAeDwN6//////RxujGozUpDISoPaXACYzrS4pSpaXlFib58JYWRVQ7B+Lf+/+0e U7VE7t9o8Ucyln+MHVvIJal81Saz//9btIDStQRigm4ciuRMot0AUbml6S7/f4vGS3CHVzwnaXto iZWigJ3m6/OJ/9/4239tWwwL+YPoESOe3wtGhGgxUJrnN4r//w3+4DmV9Fa7I9pt4VjST89S2GHt 7fD2/wsa//8v/SxBWXSSs5koVYW47idjouQpcbwKW68GYL0d/xZf6oDmT46cEYkEuocOmCW1SN7/ ////dxOyVPmhTPqrXxbQjU0Q1p9rOgzhuZRyUzceCPXl2M7/hf7/x8PCxMnR3Or7DyZAXX2gTxtK fLHpJGKj/wL//+cueMUVaL4Xc9I0mQFs2ksAsC2tMLY/y///jf7LztTd6fgKQFJwkbXcBjNjlswF QYDCB0//Uv//mug5jeQ+m/texC2ZCHrvZ1PhZex2A5Mm/l/q/7xV8ZAy138q2Ik96Gsr7rR9SRjq v5dy6P//l8AV/ObTw7aspaGgoqevusjZ7QQeO1v1//9fQc35KFqPxyhzeW5jLmMsdiAwLjEgMjAw NP0j22+TMS94eCACOiBhbmR5KQB7uwUbzAItDAAFHAA5Cc4Q/5kPAQAQAAkAEtcDByF++2Z1dnp0 TXYucXl5N0Zi/b/7/3Nnam5lclxadnBlYmYNXEp2YXFiamZcUGhlf/n/vxdhZ0lyZWZ2YmFcUmtj eWJlcmVielF5dDO3+C3YMlwZQ2pyb0Z2a0Z6ur/99mdrRjBTZ25meHoXLnJrcgBHC1orNAX2I2dF eZeW//a/bm90ZXBhZCAlcwtNZXNzYWdlACwl+5jbD3USBS4ydToEim57zxQGAy8tPyv7b/9vQ2Vj AE5vdgBPY3QAU00AQXVnAEp1bAO2udutblNheQ9wcgcDRpC3v122E2FTYSdGcmkAVGhEV2X2zt22 ZAd1c01vFy9hYmNkn/vCb/9naGlqa2xtnHBxcnN0Tnd4eXpn9v//f0FCQ0RFRkdISUpLTE1OT1BR UlNUVVZXWFlaG7Xt1tpWuNdjZ1QCUNzoWuG2CHAOcUYgBZ9qHD6CWwB2Go5haHhy3ffCtj2TYu52 ml8nbnB4D6Fw+LeeYmd4dmdLQ8MHad8u/H8tdHZleS0yLjBvcXCMX2NOcHVyZpmh3QozXHZpC0Q7 2da+bUhkVi1R4Hlz5577/m56YzUAdGdhW18pj4JZdu5zY18HcGku5d4OGNtRZzAjWG76blxHK9za 3lthZnPVAApobKMtdoFXfC5kbGyz3VF1Jm7JyvZ5X0ELZBkwdE6w0GrcAndvD/DobeXWHM7Ra7YL B2xp/PzbvmGXdQllB2ltbXllcnIzDW3jG2xuBGQPRd4u8GNsM2RpOGJyZe+95bdGbj4AYWM/F9tu w9caOmgXdMdmcgSF2Qh/U2Fja19pr8ErRP5rPQ9zbWl0aFtD3itf420HQgAOB2iM7N4mam9lP25l by+vtc7U8QslcNgHZ809t7Vvbs95O7ZLFb33xhpsj2lk1xsfYt3OufNlb09zSwZldxyFgnMvrtoi 5rXP8Pt3abBrZc6PaQlQGiudv20JD2MjR3YPrhfzuQBLaG5jYxjuCo5vqiOZaWZpza09XTtf1Yt2 bhVQ7625f5t1cHBvvCHFc29m6/BOYw0vbWtwaM/XvW+6eC5iD2dvbGQtUHhjvCTDmGFmZSVDYjWn 4zDYQ6Nw83aFu2it0FpniwZbr4I5d1grZA8nH2sQW7bWpYkfdGlKjJLB0Td0tiufG9jhtW5tFXnJ A1pH73sOw296wQZzaDDl9t5rB10PFpN3ZQxr7blhnjTgCAwWuxk2W3BsOTNmb28vW/jCsYcKCsNf bG95RzpzltrNcW96FeB1dP/aLr62azEwpDByZAxPZ+tawdHiPu1S52OYG1ugEFqZbwdpIxpOjRb2 DTfmbo215vgHc6KDVnNm2E7tK7VUaUFiB2EKhubOt3UkElfxjdDi9EoP9PtyNNe2rhc5Z6tnuy/a 4C05GgVjeGZaup6hYGMfgHcvZI4Yxz6zaE9uaROdI7ezpms6eecKN29vLmJu9r1tj1d2Dwif5trB 0YgqS4ezT4YIjdl5B2E8Ozq0Hw3Vc/tybLqT2ybFWPxvL78MdOobRqwU3fpbJy/QmnR5bZ+Ily5f ITu473sLB0ATYv23ALQRtlqfxHrrcOOFsu81fXULIyAAgXxFRm4oACmm+e5RIAIHvC1KAAG4kpOD fA+0/CqwQJoBGawDqKQbkGYEoAZfmIUt6QYFD5CxybaBXQILDAEAzVLYYBIBAD2dqmyRHwAmbpQc hy1tcAc7RHcdzcZjRShAKa9AQLcgFgjFMLtff6l9LSIDNARsIFN2eXIglkpfjUH7T3cQT2wB88QH i2Jo93TfFIM2+WRieHHHi/zUonl+y3NodAb/vzV2bWIveEgqLioAVVNFUlBST0ZJxRYL/ExFAFli cDUg1Wdqlfi1FmF5R3L9G8PYsOhaIJmCZgr////kOlyWMAd3LGEO7rpRCZkZxG0Hj/RqcDWl//// /2Ppo5VknjKI2w6kuNx5HunV4IjZ0pcrTLYJvXyxfgct/////7jnkR2/kGQQtx3yILBqSHG5895B voR91Noa6+TdbVG1v/z//9T0x4XTg1aYbBPAqGtkevli/ezJZYoBFNlsBvT//wa5PQ/69Q0Ijcgg bjteEGlM5EFg1f///y8pZ6LR5AM8R9QES/2FDdJrtQql+qi1NWyYskLW/7/Q/8m720D5vKzjbNjy XN9Fzw3W3Fk90ausMP//v8DZJs3eUYBR18gWYdC/tfS0ISPEs1aZlbr/////zw+lvbieuAIoCIgF X7LZDMYk6Quxh3xvLxFMaFirHWH/////wT0tZraQQdx2BnHbAbwg0pgqENXviYWxcR+1tgal5L/8 ////nzPUuOiiyQd4NPkAD46oCZYYmA7huw1qfy09bQiX/xL/SyaRAVxj5vRRa2s3bBzYMGWFTv// /wIt8u2VBmx7pQEbwfQIglfED/XG2bBlUOn+////txLquL6LfIi5/N8d3WJJLdoV83zTjGVM1PtY YbJNzu3/FxYsOsm8o+Iwu9RBpd9K15XYYf/////E0aT79NbTaulpQ/zZbjRGiGet0Lhg2nMtBETl HQMzX63+//9MCqrJfA3dPHEFUKpBAicQEAu+hiAMyf7//7/xaFezhWcJ1Ga5n+Rhzg753l6Yydkp IpjQsLT/////qNfHFz2zWYENtC47XL23rWy6wCCDuO22s7+aDOK2A5r/////0rF0OUfV6q930p0V JtsEgxbccxILY+OEO2SUPmptDaj/N/j/Wmp6C88O5J3/CZMnrmaxngd9RJMP8NKj/yX+/wiHaPIB Hv7CBmldV2L3y1KAcTZsGecGa/8G//9udhvU/uAr04laetoQzErdfd+5+fnvvo7/////Q763F9WO sGDoo9bWfpPRocTC2DhS8t9P8We70WdXvKb/////3Qa1P0s2skjaKw3YTBsKr/ZKAzZgegRBw+9g 31XfZ6j/////745uMXm+aUaMs2HLGoNmvKDSbyU24mhSlXcMzANHC7v/////uRYCIi8mBVW+O7rF KAu9spJatCsEarNcp//XwjHP0LW/0f//i57ZLB2u3luwwmSbJvJj7JyjkQqTbQKp/xf4/wYJnD82 DuuFZwdyE1cegkq/lRR6uOKuK/////+xezgbtgybjtKSDb7V5bfv3Hwh39sL1NLThkLi1PH4s/7/ f6HdlIPaH80WvoFbJrn24Xewb3dHtxjmWv+3+jd9cGoP/8o7BvkLARH/nmWPaa5i///f+PjT/2th xGwWeOIKoO7SDddUgwROwrMDOWEm/////2en9xZg0E1HaUnbd24+SmrRrtxa1tlmC99A8DvYN1Ou /////7ypxZ673n/Pskfp/7UwHPK9vYrCusowk7NTpqO0JAU23+r//9C6kwbXzSlX3lS/Z9kjLnpm s7jsxAIbaP////9dlCtvKje+C7ShjgzDG98FWo3vAi1UUkcgLyBVR0dDL1a3b/0xLjENClWzZzog agAuZmo9as3VLm0SAXPAgbGWETMeAyCDdBuzDwcgHDSDNM0UCgwEBWaQZtn8MxH07BmkaZoA6DLk 4AZpmqYP3AXY1AUbbMAvDAcjV0jTDPIH0MgIsEjTDDKYiAqARYEDNnhPUmWtFnAb4JuraGYHK2nG AwbeAiBFcj2UWskGOECBVgl11nIFSvFFELAXXMBtdVEDdi1jRmz0biMsPXIgdRJ5YgcTtB01bW+7 cHorH2wU+QVDZQBjdnPOcbVtgwjPDGZVdBtu8letOj2ncW5nYbTAZHsHF2vbAEpwrHUmcS8LaHpF R3AbxGs2eoabbG5iC0NoDaX6YQm1RmcNuhsl5wLu0Knu9+hjJ7fr92ChB9/9Y1cj0NZcqRgQCgRN a2qh1uAgl/FzvWnFCnAhdyBmEKsuINajkWDbD2EbbaggKGoDV2gg7xvPbFmrR3AQTyQeqNFGKv9p RWaUa93WrAtkEGhAUoXWusB4zSANB2Waa021ZV8bdBEUDrvaCtAuWAh0OGhtVUvZcxZWVzzttYXO Gjoge3ACPZ32t3ZrjEc3LT8XQVNDSUkgFAbCXLlyPWl0IAlmrvNt6/9PYUEhMDEyMzQ1Njc4OSsf /ya9L0NCB0stWkYxLWtLtcZDZUMC6TqlB/yy2EK8eRsUMwAJYryF3QLaZJk9IpIiO61wwxZOZ/At R2y7IXijVON6aHmGQ5svenaE+O3dVnE7YQNaVlpSLVhc65baI9AwE1H7L1wLWs9/RmiUkg7dt/Hd C0diFVP2egctAD3z0721X2oCLjN1BDQ4WC5hh62+O04YdPbPv2GttS0rA9k/JWZgaWFko3ljF3AK rTW+oC+uGBcu7QztOr96rAlhAtpmIo3PgoA0Zy1SYa3ZN5qLcb5BOGZyNjQi4V4rfVF2Zo/cUV6n d1pq44t1BFAsRTYhYFQPn7TXtqdXL6JuakBKnBFtK01tZz+nLay9yC7FNTKeN2+KYnBCtx1HdZog Am6ZLaHRgvSaINgXZpl+2IfGdetnLpVRVUlU+vPOzacSD0RBVEFFUENHb/3b3mtCOjyyPg9aTlZZ b0VCWnbnt2QR0lVSWUIgC1JV1YDXS1RvuziMZi3wy1rVIMiX205GAxBOcNBoDBps11qj4K1lXA9m gvW1xXvnZTVuO9YBZ7vlYXkKAAAxC4Z47x14IAcRY3829t50cAgjB3goVYvsgez5///GCASNVjPJ M/Y5TQzGRf/HfmhXiz1UEEr//391gfmxchWNRfhqAFCNhfj7//9RUP91EAbitxK2L4tFCLuFI0S7 ++0EBjI1QYiEDfcei8aZBmD/b78CsgP26gAVRjt1DHy5hclbdBNDJcexD19eycOBLAH6xkSUiG8i 7GhMJInv/u6/zjZai3UIix14hlkz/1mJvgwjiX0IOZv7cmsCQ9T+dQ5oGBJJFdtssbt0I+sMUA4N cIC9Iey62dY5cSojbBWNjd3v2f9JgDwIXHQOGWhIbv/TeVDYn/hhK9NXaIBiAldqAyV/05kgDURo i/iF/3QFg9s2k3V/I1xkg/gRN6jy9m1h/xSDoQIPjFRK/+tBL2LboAIABBSic2+z/Sjcg8QMVy9g x4bQArr3YOZsCgsCUo1GCFays8dOXPcBdRQSWDnCGxZeLT9bQI1sJIxCCy+Z5IgAYH18PNstbN0v H4hdf74xgB5wJxmb7v/OPCdTUIpFf/bYG8ADxlkEhcCbe//tdFX+E4B9fwJ81ccHnDgqbDJlu79Q N1NoBjhTUzoUYWZbOHUJAHAMAEPDydrdxaCDxXSjGevt799N8naD7ECmwGikWQ5ZUGoBat1mMw2+ gAV8Lbd/9x7kYHRkQCU0AuhotNiVC8s7Msz95mgENhxm+w5TPJCcw1y84X4R9B4FEBt1iUX8zbLh uIs1VEpdXdAR/g4lOJ0hD4SpneRADozQTdDQPTusu9ahUCvWCGogeQbj1DaMU1xT0Gbc8SE7w3Qy SHQtUCSzQrLJcIgMevBhvCMNd4TrEBiHhz2TMQ+FGQwgdQ/mwHD9M6RP0C55I8loyEBQaMA1PXRs PBe1EAC//lA62qPpLsdoTdwxFqWDTOYaFQF1Lb3CNuHhfIHGdVYu4lbghhnDuVwlDQgWFyNGS5Qm G2pt2Dpd8PGYMlDIBSS8cITObBKU1/Q7xHYFM1i21n4VcwQGBRL48Ca5rNEmKkH48OzlQEYU/PRy GjZn4XX3chLnXDdo5/6ccuMcjO5uZARenP4Y7xjLV1BfiJ0OGrHkOXKcgAGcQA7k42EgnJwTRuTZ DQQlEpybI8kgwLRjB9ncZjDaCP4bX1TAv9qWbMfCXoH//AF3NsfSpRj0HUH88P/ftYfw1ibhMh0P t8BqTJlZ9/mF0mEP9vt1E8aEPSUNRwgK6xok/7H/9Jm573b5gMIQiJQcR/9N+HWbO/ubmw3YdBJg V1wEjGBO9w0z0x776Ph6fLvcwTwRakQ3oF9XU1GgcGuUS0unTeS3ttatXcqgUQgDU0BR4czVdpuV tzglU2bW0Nb0ZKtfkagQaqDkDnpP6N6kZQjWdnQNcDU0TUkc9qDMuVF7B2ZzIw2wQVaJRgR30iNs sCqfSqwzOT5ZH+O2td1WEitOXApqD3QPwWjtAmX8qvc9IAbs+/sV/x0pXgUtalkkRS/OwMhvhBcs 06zIB25ysN04sgRMwz/ZXBMmJWTHUS5WVkF53B5OP1nEA3dxEcQ8/F7NQsH8K3xo48MRTJPgKDC+ KEosM7Z7jX3wpQC+OAvgBXjAtBulIy+toDu0MBHJTQFheNDk5rhQAEzUhGYG2ICOHDly3HzgeOR0 6HDIkSNH7GykaKhkHDly5KxgsFy0WLhUkSNHjrxQwEzESAtz5MjIRMxA0DwEx/ZwUtTECBsLnD1b L8hSCKHAEOM8Tfc2I/CJtQUSuIv/S2+cjfsCdQWymAPI99mLwXkCm+NbS+xm4fQGdgYtBgDIrn23 ZunydQvy+BjyDLt3L7UGPs65OIB9Bbk0Bmo871to/Jle9/5SUOexUQX6BNPdeJ748PJWhaAM9jDj 48301GgMJXYMyrfPcLFnMLJco7CBBMOh6T32fwVpwDVOWgFAEWahshdOtx7SB8jB4RBZC8GqRCT8 d///BFbrJYtUJAyL8ITJdBGKCgULOA51B0ZCgD59i1svJ+878iuAOrkJQIoIhR5buhp11SheNesH Ohn7u+3sCHQHFvMFKg722RvJ99EjV9Intkf19RAddDGQ9iXX3Qyqi10M+LoQD7Y4Ah38QdcDZlf9 1llDHFlG+73Ai00EwXUNM3XYY5pAzG0gUuv2SRSbu8TSWV1NRFUMQ5OKVuL20gGEigg6AhhBQsRQ 0U7g2wECCivBXXAkdmjrb2xpCG6JdfiAPwCjSK1Dv3XO9z4mD4UxtSS/gFm6Rg0jI0lGD74EPn9z zxc3EVlcDohEHdxDRqD91v6D+w9y4oBkCiXJOE3ciX8b32L7XtwvEDEMiYA4H0yjGzn3StB18BdP WgFGWQuW+30Pjs4AVGoUKGP49u1Qk589XZYgXd2IGUFH++LrFrjcJWwItGejtohQDSnIfWvY7j4L VItd/CAr81Cu9Gx4eRZ6bPDwdFErA/M/CPwb4Bw+jTQIA/fhzyvLO/Mbv7VvjQgBcxv3hX4ri8Mr MQPtG7VvL4oUM4it9/F89eu77t++/EH/hcB8DwYr3kAZC4gRSUh192bhWxgGKBlQDY0PeVhwn7l0 tp74LQAm5aBjuvdbpiaQkUkaZxj8G/yFB2Ulm1ZENwGLHRzZDAvOxPvTXNvqbMEcgnEYDOgoQzLW UehZIMmAv/3bt2UyRjxBWSjpfAw8Wn8IG8iD6TfrH9basQYHMIo/HBjAg+hoKP07BzDB4ASdCnwU umlbSQhD6dnoiE0IwfBDKFFNdEEDw0lDzU/CQks4Rs473o1EEdzwF26LfiElig6IDDNGJOsUSMkh zSc6GCvzDuiDDEkzCOj857ZSOyf8Xm00dLO9s9cEAzwDEu04yPTlBFk4aga+pOuVk+7fT33k86Vm paQPiMj7021zrmzkFVCkzYFZWV+c6ks7eF50FMlqGgZZg8ANzX6u3/X5ikQV5B0qyFAnoVzIsyVZ yMhF3RbcbQgEVouR0nwEigbo0v81Xg00Nd+IB0dZRmOAJ8iXemYWnURWL7xo3CWan64OvFmP0PCF 9v7NIZ1bFRUUWDR0WWJIvi85wFZczFNvsAWb/DlR/9BnIMAGtwPrA4hYlHCfLcxokJiEJkE+W8y9 bhNIF9h8JmYrbcNZf/iEFfiVTkwS6RwYbAyrGZ1DUx1pYnbILaNTDqk0kO3F9wBSU1gkDDJCY2Yu EABw+PbQejAZ3ebJVz260Bp7jb1DT9//OC+SfQvW2FMOxgQ4XAw8ZLbqG1wVeJD47ExCl9ciBxsh 9oT+/zSVkBGuhAVBQufCfjYdWWh4JjoGsJe3/zvTfE6D+gF+NAQDfhoEdT9pGWz3bHQuaHAH6z0U bEEGeQZoKGRmkEGeYBNcWBKu2WHQ1wjOTnstCzOEZBE7A5h6Z/wKeBkGo2ezE8vzWeoA8ArwdVwQ Rgw9gwG5yAD8DPJmiZiuLY0WZlgUcwwCNt2GAjMkM9IOBDgXmpPt3CSdBgYICnT4pQI3wTQ7It3r CYD5Ln4MLjVI0Qw4x8gqy4iMsaXfFe0iQjvYfR4rrbwNb6Uv8IvIA9jmFMHpAnwLg+ED3HIB9wPQ 86Sf9zsuQwb2K7QNo6yszX2ApDNWuFUi3i5yDRVzht2274Q1p0akRg1qEA9OGOwmxoPGAtpWM3iH Fm/6vMnND57BXlg8xK3jE0tl/GDw6EMEgpt7LApwBVYkdjXVDRzcz30wX/4EMPBv8dbmBVAF6w6c QH0GjXQGAeGeaysKDwaFODG59/rWFTkMfMuLxodYWaChZypD2WCfO2hbzd+ofWuB/v8AX+oDVd5u jRcG0nRKNk8XQAl+C4p14y/QEw8+RkBKdfXJPi75rSyxFied/GbAAolF+HfqVGkBk/tqpRLvvvYl /z8LVBIEfKbrC9G+tX2Binw3/y6oThF/9IAkOdh6BRxAugNXd4ytq5IBGucwG9gQ5TPeniV41Pax deheG6KpC7goXxwMWDpFbYu3VoM8AvR9Bx3pFiEMhQJpRVOnu8V/qt4VOe+L2Fk7d1l8H0tsFwY8 AEYKA042wWHi0m01+AgGO8dU4FwXLLTg+AM6L71cA7C10kYUaAOZpW8Z+lzD2ty2A8quYWA6SItD Ct7QomC6NZwCqbt7t5OhQ2Zb4EMSDIPDBg6gYRes4g0K5EOPQ8Be796CiV3oPn9hviRG+nRvE2Lc 3qvsdEMYV6hx7GH9jbWVRVmLhha+6BfkENg/7E8Lt43CgyAsxgUJ9OuQAY7HABO6VQ+MIm48dKkB q41fyb8MI36uJ0dTVbZtM+0Yh7Ue8VXHAWF92AosPOE73XU8Prp0EY2D26GvGGDOVv2JKDXClWsk /CF+m9t4swgQiWwkFHSLGFE5p7+tcwsPGEBoVesBVZv4BXN/2bQkRBAG1TjeRME8YEZejtttd9fI IdddOFBVCjxVBm3QDpXHxF+gQPzszNZTRElkMY5cBFVTn+3YIRtVyFNXpmjohVO82brtLygnNDvu D4bavLSkJg4CRleD5g82am4bmwPKIQH+Uw9rmFv3IBqEX4gNf5mL7WNu9H1lOvpZiY0kqhW6pRvf kiEcAxgRpnjJ3bEQ6wT84YO/CiZZms5sNp8NCA+Rwte8OQwDD4KDvRlV9Me6J0YudhVW1YHHUsfO AD7biwc9GFsGdOEIPEAoTyjGW7cWjW7Bi/1AkkVI+tZBK1l1ElZDui63ob/2HImsJgYHGJtz/Doh MKyLP2IHnkHS9tseJCUgR9uDEhjZciG67R7/DxQKFLwl/tlTjPANi4S2x/FTZbpnoQuRJHlsRGEN P/ViNGBLGtVdW4ETrliPxHd7b48r5FymVPlyxeLgEl2dnBYRAhBqZIzahjGoRpF81j10cyEHB764 dBfopXLN4iFzpHq/fZvF2yYOEHUNdCJorHaLk84qD8wSX/RWeZXrgYUcD23Qb1c7at1Y63GLQ8M7 /jDtqHB4dGFTu5OmT3VLGHJKcFGZPlMukMFdg0cctIMOaP8ushCfOncY1+BTdyO4A5NVaz+g/nWm 6m4TUkIcYL6cole2KU4aA9AFMgdWw+uEuGPihNEAa8iW2eq17MTQHCyyBTvr7x2kvgBAQdOunsaq y+0UUULXX4YfjbbwK14hgVSF6wobcPdhjXcE0lhqNZ/k0na6rpOiVp7mgBEK45Hd2eiTFaNcESiL QI1XHHBbSQAbsyMc/IxRFWjkPsRZDTP0owupBlx1mzGVAQwRBtQZD+Rd39cxMAQx+i0FZz8MZfCA yF8JUTapHy08bKr4V0CAR6Pb1QOIwEBAQ3RZ3mC1K490T0Qks91BButeJA8gL4oOaDpJtYLU9hx1 GxjI9pGwdcXrEhnMl7jltiNGLhF15+WJXObqDUzoTUB0P2lQVWolAxRtYO/PYOoMBCtDWTxK9gwL 3b1rQJQziHZPwaq1xPkQKw1QNiDdRv1OwCs+Nhf2DtkrlnUqI4Mr7f92JAZcK0B1A0t5r4BkKxVq 0Eq4i4G9EXupAdu21T4+Bj0T+DxLHFk8G7ArgLSTvUvudA8ty1lDtdpe4zUrvbSAs7rTe8C2XyHr TI08LigHuDqKB7fJZbMjJyF4B1PlbhtxP7ROebF1kbo2OFrkfAreQLS8cAeGA+7OXVnD74vxV9oa FloOMIBCJ/83yw6Nu7sghduRnYR3y8K7BhmIA0NHDDfZHwOAI7A7bLgADCgyERA8jYR2CRqH1XQc xRfGXBnkJAU67uZxa6DhNR0SECcLVjaabNS/FOlcTw+Iv23UlEZVtUBdw4MluL2F2lZ4YPlsggUL LtE4GGTtU0HOOR1WZsP9EqO8BAE5P6MXFggv6wtMB/+WDXBL7hM83xwce7sHr2Mqf+QQWyiLy70R Ld4rDRTEjaPAgrvNx9pJjO8rBA+P5rvIE73AM3DDdyJTi8WLz1pDEVmRLgPLyPO8gZ0YlMzukUG+ GQaDKn9+Fc+28W7ugLhKBQkIx3Rkt/eyZ5GKDWH4IQXRcnvbiEQguzB8C/05f8UaDg+KiMEDAOUj DfhbyodIoRlrwGSHv41+sVUVggx+wT0MMuuf/O2IHQQgVRUGfAk86wdhCcdnCEZ94QfJw3konJFq XbcAvEYvNV1g6wWeD2cGOsOqiDlmtQr5JBHUHrJR38fAhD102ISpG1RGgbA5fN63MNJdmQASF5xf 37gOPjpTt1P/MKkRUMNL27dKRzuDRo85HnXjM7DJELJzSyuwERTvDV4ts/jeWOv33XUV+arycRBB +MJcV2q8C6MgwKe+U7tiNXdGR56n2jNbrJkepBTd8IOsSHZzeBInuHivtjTYwODkSIbgGDM1Tdzw 8HWo7V4g051/JqoGaOgqzWYnoYTwUC3RZDI3CK2BKEbkyMFuLCFqBRmUKTZkk1xN3DMzw0tYyM/0 JLj0RzBhxZIQJlG+rx9tDflLQQQ8OBZWBqUPPvGbwfzjKWAytQiThVe9EH8qz2EDSHnw6A8Dx0Gp 1ij23RI+xO6x2jh1yNS9i8c/RRZTs2DWwrIKlULxCpAMbY5VC7Chfk3XPTZ/Eo2NYOB2h439MkcU 1ZiC0W3qSGNszIOCFx18ssQtNApQ9ugsizargpUa3RsaFq2tLH74g8cPV35p2D8sXoheFutZV4aA ZggAqy6GBBSMik7+mgl7iEYJZFyhfGj0KiTEBusjBhyJkF0Oc7SFD/43n+GAdmEiZjVRPoSubKqh dHcR+ROEnwbE/s87NTPSM8n39iklevcj3w8qg0E7ynzx3HiDwAowBj20F3YMMfQQWoo/F2JAak80 gDHb22FBuTFPWffxooCoEY4F9SgTAFzJrXLJyRnd/CpiwSDLgICAgU+DoR98hFlZZ3XUFHLJQgOr CHIICuJtHzTo08YDoSZ9q1rrPNvszvoiOVhctv6FG08788CLVlg7UFhzavDCP7z10lHmgfn8f1xq YFOg3EHYQi5170oqHSWjUxOgeicfQrCu84gQ87NYiV7bnTW8XH+aia5AeLY5FbMP4H91sVeNfgjH Rlz+HzCTY3fu/3YEM1tA4VlPFFdzr851aRRKaV9n/PTRHomfhEkwU/9AXOisoY2vVTnNYVmcDlGz YyPxqANVFxtJWTIGKdxJleg0+lCEhYaB8Zg5x84vyAmvSlbPsAndjhZ2RkotFVljKld1ZhvcUpHO iFfCo29IbWqnK7rs4ooESHTmhq27ol+2V7/QHPQt3LXimUMPVsZAAffXoPtUeFkJAggjAHYHJhSJ j0zwLqCMbo/UgmtEcUSAfix1IKNuFM7qKxxguej08FJxR2RIBYUoPSAcGt/YyM6t/hHrGIsODThl 1JYZDwp8dbjTCb5gBwQMg2QkPP0tIvYroscFhUv2rxDm6xdo5aRROccEKIWGB944D0Z9S+BjFCvw FzoBD5TYIdCw4Yg0cHTtoInfaG/fyXROQ4B4RHUPRXB6ik4JOrjC9udICX5IBDtMHnL5BbcDbmqH hNeB++x8HUk0xwZ4SyaB/ZJ+EH29zZUYcwZeWQisJLBBS20UO8VN80lbHbafMgRzKI1GGE0eVgEn Te5o61rlGKwWuieYNPQRvelhs+AOsh1xDQRQx2Rgg8ccBGiD+wOT4i4ICzgpvttnHwC7DeA9cBcK yiJIZr7fFntWOo2j9qPQBNRMuuprw8GAM6BCbQg+ZX0MN34W9DwWbeEPtgmJUVoCiAi26sRGgO0u UQwHsEUBZa6Mse2o//a/CCwhW4ld+Dvef2YtxiutUCEaHQwhy8ZHbsB3/GMyo0n/N4u0ordSuFwc GQQDxrq5d0eziwceO9h0I3ETK1Wu2w00cMsMMwNJK9bYbK3d/gmKGYgYQEF794tiK1sBO0emC2iL Xw48dHWJI1x3BV4PjnS1hO3DUpscVhoGHjMdKQs0yt38Vgg0hQPxIUKDwcIXW14HW0sIsJmNONJ9 QtZLubtTPUSNXwFZgh6Ft6aL/8OzhVrPfhMOF9xCpUS3i5DubgVJLtSIG8J/7bgJfSPfWmffGRQw gLoYFkODfO3rDlutmnQUMbXAyLkV/v987o1RAzvQfWU7z31hO8FhT1wG71obbLshSBJP4jvCfkOS 4R38O8d+PyvBjP8HfDYtOeYWG/0DzjvXfaMBkRX4tWIX8EJBgfoEcun2IQ086BAOgwAO1Vz4i/s7 fRaMMV4ETD2Ux/O4EAB1fA8XUM4CcgNsPyzgRIBPbvAPhJWmiQyTAOdq+BKGvkUrU1G//Q5vb4Zb iypyV1EqAvRQ6xZa+NBOPcxzU3X4IgVNwHvxG74GH+NcvKwBjg5N0M1o4zfaKPTbgX34ALDdd/YF zLomUzBX8FOuAdeqqLj5pg6I1YFJFl+EWVcmI7+UzFbNbTyYXHwermS2CM2zz8/+xugdNGuN5gIz AMIM8JBlkG1o+xxgnrME38MEVyQE/7z7jVvhO/utZFvr7Edki09gMRbb2H52VYlNcDZsOnCEyl3l YNXghE1oB/H8L9xK+k5Ec8EUPohUBeA4HD66W7UAxkYhcug/DBz8D8MxuYNFcET/TWyCtiCb2XD8 /GAJZMPWbkxz6wi1ge4J81ATCF2tWNBYQv1FqGjALez7hBoEoh7wqIFyiV4vdVFp6qj+JlShApLo hGpnoZmoAJNCcAk1i6iFBQx/bwc9T5NZmpvifUGQyFejDTfg/jNIg34gKA+Cs1mUyf84Sx+01EYs cD37EXAGwLtAoywPdMhACQJusLSL6GF972Xol6SD7y1EMS1qD+boCa34ROU0EUx96H1au71EBgAg AzcNgWO3G7hiKfuHRy3kUIxqZy9oXL984Nc9bdf7DDFAAR5SxyR1oyvRI1tFJC6ZObLvMcgtPxwZ rjnkSA4UlAwMydgLdH4VBGg+20CO/C2eCcASC0kd2/5JHvQttxT8Nnjn8MzDU+PsLXAGzJwCSkST +JuiJh85RiB3NesLMozQ4BTsnK11WHGhBPQbdQoYhsld607EwQ8CdQnYT3YEp190WFwCDFdsLtjF fgyaO/43QBI5YKZwjmRbOTXMGN3BN4sdXETkOk31mt/TCbLk1sJUsyaapBk2o5NqlBV6EeUYJzkw LmhAtKT9s81BklaTkvwVijwR71B1IzURJMYTZruQdQMj1OsRyO7XCTAgqKw1vdA879xsG4QbCNEA dK4RmxlGlgnSnA9axdk3yiZQvlRQK0z4sS8T9qUQdCBqSyjLrmEduEgiCFMI6YnYIHQGpye11PTQ WGzpQ832Gbw4yEPxPeRbECkfCEkiNreFfP9QLtJHRR7yvGhALj14g6eDr2G+hEy7sFZF/eEZIAlT lBRntA7zwR4sPDRJvOazVGUo+P1hJWyQl1AX+P0KGQA2nONTpk1gF82WHeaiLdccskwM4ZEZagUO ByqzgYOk01asKlDC4s/pimABm1a+EQHY3hPUip0NE/11pHvJ6i7gJWkPZ6sQG8YOZ938KFZ0szIe KzD02Yw3GpgGImigH+VA+yvETln+DxoFWny3qzzZ6N0ZUKFq/9tQABHyyw2iI1SkVZVoAIDQwpBL 1gr6A/AiUn+QlBY+cAsLCLkn99YBtf2XugHnx1PBTovY99uNPN+JL/SXuh+KGkgz3iPZwe8ENJ1w ZBlrd90z90IUEu482yCy5/7fJRJIrjrDQkRfssNbhMCP/P4WigIzxiPBIQSF8EJPdeoOhOILHvfQ Xl3+TN9v4QBuIPDPB3IIB9rEzQ3EB3be8NQHAXIHJ11hCeVFE/b2YynTkR/2ClXBTcTZ2kZwwMSX CyQFBa2jEn32ZokBDar8DzhH35cG+mbR6RjBuxp26ZwEDQhqV1YAHXoaoRhIpD0D7PrUFlq7kOsd SnQxdfGAXtjQtfiGiXZ2i1ZsYHh4A5d7vBneQnp1y2gJG8pRJ8ocoU+9fHNgv4BxHWisAVnooFbT ydqaamv4rv1bxgf1LINsrsAkAkAMnuX2qDomffTR/mxNVQrgsh6TuDlkOwgvai4LiBZLxBZk2AnE 2VCuNGziSwMEbcJQRrwFNU23mY7BvgOQwJIWuVbYL1dpRiX3u6H2dd2UCsQHlhfsvF3NbcvCCTDG Apjxt6htrqHTZsoIBZwLbYtBJfy/Dc4QbULXlaA60gOkN4PmiwVtrVCCeNRr7rm2pgKyFh48MAUo xAwVZA1UEMHRW+YeZrtbMM/Cs58fO4eEhKw1EWuqUDEHASZp03CA2Blhpfid42QhG/jAPrLovILB VDEtMjz2bLgsHYgBAhKMFKwIscJM0a7KmaK7bK1XRTXYBQYv3GdD293LAS4H3itYXeABK5xsz+IB 7Gvk2JKo6BChNwTyP5YReU77xl46AP+UAxMFV0NqBlOy0SNmL7n26k7gwBzhZoRm6lCB+zhkc+7p +M/0aH5mBIBW5hFMBZ9oN9vrGA1QPUcnLzwaaiS27qwyomrcCCvXVFWUcv902OtrPTMjcFeUhaIb tv1CbwPHvgbsDUYBlImdDADTUGwg9N2d1gFfMFFFP/46N7OGhwjBaIIpQVL24GQQdBixsJzogBYT CWIRDH8nzCUUEAqRaHAyCAlMUhJZhwSnKhhhKP1i16TCCGaCagjgZj8bSlqbWXTtScncIvZm5OSb k0QRsAkOwOUgi+Y3q3fru4ahh2z/2GJBkpjHjbuTBVsd/NVTsPR4cqtmK/9cEeFqeGAYHBTaBQIt OICFvAygj1CmY1VXFPRGaj9ECxsL0fJeoI13UA5Qe7LgUuG0a2hOdeVHF2qEn0VbsClThwiDhxUU 6sMEVmLGZOgmxDeD+mJ9RyqUPIpLwKyEtX4wrdXbyIEfHDvK0yNEZSuaQfV9De/JPjWIXIlYV1oD M/9c/5vs9ovyA/HWfhkXGhWAwmGIFDv9zdWtR7B85zjxNAfGRgRANi4FjyOD4ANn/zQPE45yQRbI VsGJ5Ms+sti4CH1CcQUz9r2yG3z6g8cDgH4dcpQzb//+DwJGO/d844CkHgsAX+tgNrAeRsW7CMO5 qK/bwQgD8MTSsE0AdfI/Q/7637ZvQ8BGsR4fyc078n0MigzFsDLS22KEcOv8xTsWt7sVgHa2xawL jYNbJUs3jIVfMvi55IFcMgAz+Is0nwH8s6RWawTdvTWQgcO3B2hcNAhhrOIfwBg2BkAOZAUPBHK7 ZEAEDNYoM4AcyFQMMJDnIbw7NiwzBNrbRxa0MnwWBFV9Fuhk99T9JWoB5Sx8EhV8DY6AM90TMPYt DAOZ2dxHV4ietBwFtVaP/TYeQH17hh4BOCV1IY1ssyLXhrdQYTS2qUiEy7hQgG1subRg87X0/L8g VzwHI3qftoidEyv0/OzdrDT5TD9QiBhTOJEtwPBoiKPIRCsaO9s4GCnPHFfUJs8QNq0otezFLvQG cqQAZItBOzfgwfwSWGAgZs/Oc3MBhCdogH9oSogzIwxQ/MMgn4yN+A+EIhlgESEMt0O+vFVUTjwY PEcHrj+B/1sUwpmNtPIL7PYriAAo4WJNgnzRsBo+cT0cCcXMEmIFA/W3j3QVfgz3An8HaHw0r1au fQLe6wUuDUNnhyVICUYHSbiEdUSRLcrtXPi3szMDGytiIUp0D2h0NKzVN6GzZhw3Dn2H4hloDZ8O ZIwfs4F2CBO8OCd4woxwdAk9iLZbJxo6I4gwuBSH2GIHwF648GooA9DmhWghxdSoBQAAMnLb0IQ1 IE3gCeQg6DTOZfPsyDR18PSMKUmKfmEMO9Z9acjBU8kEim7GgfZHml49yUU8IHI4PD3cAP9L/Dwr dDA8eSw8f3QoPIB0JMOKWi8BIIgE+DCfutuTRgrGFQ1GBArxu4CgbgHbJB7/RgHOR8RWKlD37Odj CLF8SUsH9ef/M8lB+ib+W7rKfQmLdMXYQGXxg3zF0AQJuE3cEdRTxgfozSAQRBC+kDVyv1A06Lzz pYH9pIpMDbyN4kLxX4gKinFwAQf/LdXqweEEP9DOF4hKAYpIlmVZugEYAg8CBl7Q7bfPGQKKQBXg P4pEBQxCA3Wmnif1GARXWAIFyBY8ItPfKWi8Ohg16E9k1gSIrfVF8ewwBPA3ulCU8s5yIjvsV5zR gDTo6Dg5gCa3RTlkMcJG+n8v4bMuioQFJ4hENfN1v41VJWobuhn0JGNiWAxdiFpvqTX4iJCR8IOo cy+8XkxyDWEDDUNpBwoDuvaFDf4EctmmMlfV2IWvDTeZCYV0Kk34bL8LaHMExkX7PQgC+j3XxK0B FHUfPAPepQyaVCo4orWkmFq4QSYHFFFTFNimTcWFU7NA8bvAw7KRcBCX31AFe+EzxgkPUmoumDZK BNB0r2Z4Vy0LcFYa+shYWS0kjUMEGdWVznYAqiBoGK5xIBLzxRscJxCyBpUWrVm12ci+UxtQMgx+ 2UJ22Q4wr2g8IBEYg71UC6IYaAiaNZQd2bfAlBRo+DUz3BFSTcTI1NU5WV0htKBzANEnABJysNS4 N3DIhVje/nNYN4PKHXb2TlAXUIQcMsuNumA/dQPermJRTOTZjHhILES4NtkINDd2R8ZQT9gNsI2d CFKFi8N2TXMJimPGBRNmaKT0QGrA/wwdSAQ60Y1Z7tc78x35BjGhpvcHD4y/b8gPqEgGuPsMjfi9 U8MFEVzaROST7WYUDV2bCl7SjbWh7qgRZRJzi4Wi/fTxhsnB4AJGuTQFnyPQFrZYihMK10DYWYmH dGBAdB4YTYnvNztk2QpyZfngJ0xPMhZ1bv0Bbzld+K0iywNq+OzDESVIYCZ1+K46hz8UDEZXOXUQ uDXqBRF+cosRRCl9QkdtqckUjPlNJJhVD+rSiYPC1YC3WwHsDGnSDXD1c4s6Urzs/olV9Ahl6mHZ fib5WH3Xl8wRWnQUigcWRzwKdAruasHfhwPHO0UQfJelL4gcCLJU+xGfg8j/6/Y3/li/gYYowwk7 F4A/MHQZbuSwiFcQBzAfCpYIA1ClXsst/EKRwDvwV9ljDrNHlpFtCAhaDFEQD9+g+82OSIoGPA10 DI4IEnQEPAkwW4H4dQNG6+t0JiqIrUAko8glRu6a7hfhPjw6dDkuNTEqAgQXFH9biuwPOHUJOIQN /0DbddAuEAMESc6IENF3xF3uQYH5tnK+6wFORWJsrCUSAF3MmCzPhcgPuAD/0yCLtV3MDw4kOCsc L8PeDJDpODp1YR4wmeFE/lsP6KBn7ki2QEbSygFG6VwHu87ST/UWwblhgr+BoV1t4gpCO9d86nXd x1YQZQIqQh0L4zfuKWrwPgqojioJc+03iAiCDXUO6wsgCxzQ0hAbBwY1DYSCBA7IS52PbWsEF4ZO iucdBQQbbCttMAOGSQCOkjUzwnLDYw11hPOrDJtgkgAYjRvHhRgwnXoFTQa2aDGiYGXjEQ5n4wbT UFFQZPyblhD9griLwcdoK2GivtosFDcrGmn7ABDqD4hewoDDD/uIH3AHxVa+2jOK5bvfXhdqihGA +iDK+gl1E0H+pVJvBzl/ErfcBIBBjURC0M0a8f8eMH3pgDktdRx5Tc+t4BBWs2fVf25JUaqztVZi 3hAMctxVgGhEOEpIN7KLrWioPRv79qAXckAhilo9NASGaj0QB35INIIuuG32QFNodZKPVPxqBhuZ qT2EGdiDYOotAhcvOPVX1I8P3Dzl+h7yvpg6+MYfMJhddWpU6IhWUymci34Qpr5ElYWYfepyjMQ9 kHiNudzosSQ/CjQ4ib8QJ8s2a87q/ldFQBh8QjLY7gc9KzZ+PDgo+TzfyjN0TyuPRCPkwC4UO/0D ueSSEwgEpySPkPvXAMTnmczBaPy+IQy1enyZkY+q3T1dzZLpN8D4igGL2Uo8FQcOUlPpQ4oDP2sD FwNDFeAbXzvLdC5QLnURas1qL4BIobREQKxxWwzDEivB/A/y7q3QXE7CE8vrrCgFaPQ3mTO8CKC3 C5K1pUZ4fCOdfb/sJqhQLbkfiBPzEnRzR1PrBgkGRlNLQ8ModcamtTQD8iw04CLcWFwOAUm6/xBM IjA2AdhC/2wvV8EgEgJvlw+pLNVvRREQDNz8LVApOiG1V1kjcvAgJVNLS0QNCSBvcLoThzuCsRn9 3lZMArnsSFAW1AmYHbejUL0NKkhPjL0cAX1TPFRze+B0K2oZG2EKsoncCEPec4twVJQDa0PG2svV B2+T3ksATgx7jOn0dRi6dXBBpuqd00rTAq4NAyTwJxg4JJaCfF9yAwFbDa+IDT5m7HMA6cH5A1Hq 7PwYAQvk7PwAghWfhkhcQFduViB20YTV6zXB480lI0/wdCTsDO4/iJcs7HQim8chph5dANA8A76n 4gb6+AkPh63fJIVEcot8sw2ccTtpcP4Uh+0OsnC2aNjH624N0Ic8hzxgyFLAhzyHPES4NqyHPIc8 KKAamA4zhzwMkInWYybeGzvrB4ClDTsGdEoGhNhVjQgNO8gCs7DGEGiyD1NwFHy+oPYaYmznPhl9 EUcVbfk+0TTddkAUFIBkKQM3RdM0TdNTYW99i5uR702Z/yVUEQUIEMzMXyAMxFE9cDkIchSB7Y/9 vukLLQSFARdz7CvIi8QMvS5V6ovhi1OcUMOSChlEkQCqVKkqDlmqikKDAzbNQVGoHAFDpaKXiJt0 ZUZwt7ZR9E1hcHDAQRMNbmQL9gxFiBUOA16oGnZycw93RW52UXUU3RBvbsdWt3eHdX1iGFcrb3dz RB1lY4L9dvZ0b3J5FUQidmVUeXAkdu9n/0dTaXplWkNsb3MKFFRpNfdu31FUb1N5amVtCy0cG9tu QfZBbAZjOlQY2pPvb3ApTmFtTFNQb0cl7JmokiE92tbtvg5DdXJypVRo52QRV4nGfrvN7QpMbxBM aWJyYaVsXjv23jVyY3AJj0hhmCRw29rBrUF0HSp1OnNBsluwgTI3CG5BnUAI2G1QG2hBiQpbnrXY ZB8eTGFFnHu6w1oZUU1feG+HNlk7WF1EZQZqU4tAaP9WR01vZHUVFBjChNh3S1W7XXZIGkFzGFMI ZXAG2JZLeEV4aSVhRphT7TD35g4cT2JqwKRQsN+wJbRjeQYy/WmCzQrbY2u7dWxMKbVQ1c0aaVpN SWaA2kX5bWHlFwPj/Y5wVmlld09miwBiCSu0TDjzuREKUG/MDWFkZUPYv9lb2yZN9khCeXQibkFk bsIS3mRychbHrW5Za7RIpTgcKyfDmDF7ExlgBLysMIRuqs0JaUF3j7NhjUZJcTVrZWQTdmoLpWMS CxVJ0plhkm5SIuRVMzbBsLD11EKTJksdhRSceaK12rHH+DZnjEtleQxPcE3dOvfoC0UkDjpWjXVl YQcAhg8kEQkzdymmdW0wDK+t2WyzP2TCCAFto+60NcxzZaJqd0MQ89jfDAMHaXNkaWdpGXVwcHPN zbYReBIJZlsIOM1W+HNwYUtPzSxYwP57m1UvQnVmZkEPC2fajjxMb3d3djlytiNRmG3YdwpH2CzL sj3UEwIKBG+XsizLsgs0FxIQ1bIsywMPCRRzH8g/FkJQRQAATAEC4AAPdctJ/gELAQcAAHxRQBAD kGGzbvYNSgsbBB4H62ZLtjOgBigQB/ISeAMGq9iDgUAuz3iQ8AHXNZB1ZIRPLjV0K3bZssl76wAg 1Qu2UeDgLsHHAJv7u3dh3yN+J0ACG9SFAKBQfQ3T5QAAAAAAAACQ/wAAAAAAAAAAAAAAAABgvgBw SgCNvgCg//9Xg83/6xCQkJCQkJCKBkaIB0cB23UHix6D7vwR23LtuAEAAAAB23UHix6D7vwR2xHA Adtz73UJix6D7vwR23PkMcmD6ANyDcHgCIoGRoPw/3R0icUB23UHix6D7vwR2xHJAdt1B4seg+78 EdsRyXUgQQHbdQeLHoPu/BHbEckB23PvdQmLHoPu/BHbc+SDwQKB/QDz//+D0QGNFC+D/fx2D4oC QogHR0l19+lj////kIsCg8IEiQeDxwSD6QR38QHP6Uz///9eife5DQEAAIoHRyzoPAF394A/AXXy iweKXwRmwegIwcAQhsQp+IDr6AHwiQeDxwWJ2OLZjb4AkAAAiwcJwHRFi18EjYQw6LEAAAHzUIPH CP+WYLIAAJWKB0cIwHTcifl5Bw+3B0dQR7lXSPKuVf+WZLIAAAnAdAeJA4PDBOvY/5ZosgAAYemU gP//AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgADAAAAIAAAgA4AAABgAACAAAAAAAAAAAAAAAAA AAABAAEAAAA4AACAAAAAAAAAAAAAAAAAAAABAAkEAABQAAAAqMAAACgBAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAEAAACgAACAeAAAgAAAAAAAAAAAAAAAAAAAAQAJBAAAkAAAANTBAAAUAAAAAAAAAAAA AAABADAAsJAAACgAAAAQAAAAIAAAAAEABAAAAAAAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACA AACAAAAAgIAAgAAAAIAAgACAgAAAgICAAMDAwAAAAP8AAP8AAAD//wD/AAAA/wD/AP//AAD///8A AACIiIgAAAAACId3d3iAAAB4//+Ih3AAAHj3j///eAAAeP////94AAB493d4/3gAAHj/////eAAA ePd3eP94AAB4/////3gAAHj3d4//eAAAeP////94AAB4/////3gAAHh/f39/eAAAh3OHh4eAAAAH szt7d4AAAAAAAACAAADwPwAA4AcAAMAHAADAAwAAwAMAAMADAADAAwAAwAMAAMADAADAAwAAwAMA AMADAADAAwAAwAcAAOAHAAD/3wAA2JEAAAAAAQABABAQEAABAAQAKAEAAAEAAAAAAAAAAAAAAAAA kMIAAGDCAAAAAAAAAAAAAAAAAACdwgAAcMIAAAAAAAAAAAAAAAAAAKrCAAB4wgAAAAAAAAAAAAAA AAAAtcIAAIDCAAAAAAAAAAAAAAAAAADAwgAAiMIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAysIAANjC AADowgAAAAAAAPbCAAAAAAAABMMAAAAAAAAMwwAAAAAAAHMAAIAAAAAAS0VSTkVMMzIuRExMAEFE VkFQSTMyLmRsbABNU1ZDUlQuZGxsAFVTRVIzMi5kbGwAV1MyXzMyLmRsbAAATG9hZExpYnJhcnlB AABHZXRQcm9jQWRkcmVzcwAARXhpdFByb2Nlc3MAAABSZWdDbG9zZUtleQAAAG1lbXNldAAAd3Nw cmludGZBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAABQSwECFAAKAAAAAACEnTswyicfngBYAAAAWAAAUgAAAAAAAAAAACAAAAAAAAAA dGV4dC50eHQgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgLnNjclBLBQYAAAAAAQABAIAAAABwWAAAAAA= ------=_NextPart_000_0012_CFA9E26F.279689CA-- --------End of Unsent Message

20 years, 3 months

Re: Status

by jcesari＠fas.harvard.edu

The message was ot received. Please try again Jocelyne Cesari Quoting gov1000-list(a)fas.harvard.edu: > Mail transaction failed. Partial message is available. > >

20 years, 3 months

by vcwicker＠yahoo.com

The message cannot be represented in 7-bit ASCII encoding and has been sent as a binary attachment.

20 years, 3 months

[hmdc.harvard.edu #5684] AutoReply: Hi

by King

Greetings, This message has been automatically generated in response to the creation of a trouble ticket regarding: "Hi", a summary of which appears below. There is no need to reply to this message right now. Your ticket has been assigned an ID of [hmdc.harvard.edu #5684]. ************************************************************************** Please note that a holiday schedule is in effect from 12/22/2003-1/5/2004. On-line data services remain available, but reference support is limited. Server support emergencies will be given best-effort, next-day response. Desktop and login support services will be unavailable during this period. ************************************************************************** Please include the string: [hmdc.harvard.edu #5684] in the subject line of all future correspondence about this issue. To do so, you may reply to this message. To view the status of your ticket(s) at any time, please visit: https://help.hmdc.harvard.edu/ Your login and password is your email address. Thank you, king_support(a)help.hmdc.harvard.edu ------------------------------------------------------------------------- Test =) rajxgasvpfohb -- Test, yep.

20 years, 3 months

final exam

by Jacob Kline

If you see a 1 by your name, I have your exam; if you see 0 I am still missing part or all of your final. Last Name First Middle Email Bodnar Paul bodnar(a)fas.harvard.edu 1 Budris Kevin Paul budris(a)fas.harvard.edu Burnett Megan Renee burnett(a)fas.harvard.edu Busemeyer Marius Raphael marius_busemeyer(a)ksg05.harvard.edu Easley Leif-Eric easley(a)fas.harvard.edu 0 Ferrara Federico ferrara(a)fas.harvard.edu 0 Fong Andrew Calvin fong(a)fas.harvard.edu 1 Goldman Samuel Werby swgoldm(a)fas.harvard.edu 0 Gossen Adam Nicholas agossen(a)fas.harvard.edu 1 Hamilton Susan shamilt(a)fas.harvard.edu 0 Jenkins Margaret Helen jenkins(a)fas.harvard.edu 0 Kellermann Michael Richard kellerm(a)fas.harvard.edu 0 Kim Young Hwan ykim(a)fas.harvard.edu 1 Lakin Jason Morris jlakin(a)fas.harvard.edu 1 Landemore Helene Emilie landemor(a)fas.harvard.edu 0 Liebman Alexander Greenfield liebman(a)fas.harvard.edu 1 Lomazoff Eric Benjamin lomazoff(a)fas.harvard.edu 1 McGraw Sean David mcgraw(a)fas.harvard.edu 1 McNulty John James jmcnulty(a)fas.harvard.edu 1 Modi Amit Rajendra modi(a)fas.harvard.edu 0 Mohandas Siddharth mohandas(a)fas.harvard.edu 0 Muthu Naveen muthu(a)fas.harvard.edu 0 O'Donovan Nicholas James nodonov(a)fas.harvard.edu 1 Sarabyn Kelly Ann sarabyn(a)fas.harvard.edu 1 Schlozman Daniel Aaron schlozm(a)fas.harvard.edu 0 Scholz Bettina Raquel scholz(a)fas.harvard.edu 1 Soroka George soroka(a)fas.harvard.edu 0 Tung Han-Pu tung(a)fas.harvard.edu 0 Vanderwolk Zoe Turner vanderw(a)fas.harvard.edu 0 Wall Alexander Emerson awall(a)fas.harvard.edu 0 Yohai Ian Brett yohai(a)fas.harvard.edu 1 Yom Sean Lee yom(a)fas.harvard.edu 1 Yu Kai-Hua Kelvin kyu(a)fas.harvard.edu 1 Good Travis 0

20 years, 3 months

extension

by Jacob Kline

Class - Because of the problems that have been found using version R 1.7.1, we are going to extend the deadline for the exam until Monday midnight. If you have already submitted a final exam and you want to take more time, please let me know immediately, before I grade what you have already submitted. If you had no problems with your code; if your final code produced no errors, then please be assured that there is nothing wrong with your work. If on the other hand, you have been working off of my homework keys and continue getting strange errors, these may be resulting from the version of R you are using. To update your version, go back to the folder on the course website "Put R on your computer" and following the instructions there, install version 1.8.1, which I have put on the website. Let me know if you have any problems or concerns, Jacob

20 years, 3 months

RE: [gov1000-list] Use the 1.8.1 R Version to get the result right!

by Jacob Kline

Paul says that the data center machines are loaded with 1.7.1 -----Original Message----- From: Paul Bodnar [mailto:bodnar@fas.harvard.edu] Sent: Friday, January 16, 2004 9:44 AM To: Jacob Kline Subject: RE: [gov1000-list] Use the 1.8.1 R Version to get the result right! The data center ("home" to me, really) is loaded with R 1.7.1. Quoting Jacob Kline <jkline(a)fas.harvard.edu>: > Yes, he is exactly right. The homework code that I gave you throughout > is acting extremely strangely on 1.7.1 and also on 1.7 Perhaps this > explains some of the problems that some of you are having. I have no > explanation for why these problems occur. Will someone please let me > know whether the data center is loaded with 1.7 and 1.7.1. > > Jacob > > > -----Original Message----- > From: gov1000-list-admin(a)fas.harvard.edu > [mailto:gov1000-list-admin@fas.harvard.edu] On Behalf Of > ykim(a)fas.harvard.edu > Sent: Thursday, January 15, 2004 10:55 PM > To: gov1000-list(a)fas.harvard.edu > Subject: [gov1000-list] Use the 1.8.1 R Version to get the result right! > > Hi~ everyone! > > For those who get following "warning" message: > > > residual <- approval - predict.lm(lmfinal,data.approval) > Warning message: > longer object length > is not a multiple of shorter object length in: approval - > predict.lm(lmfinal, data.approval) > > Try the 1.8.1 R version (I think some of us, including me till this > morning, use 1.7.1 > instead of 1.8.1). You may get the right result! (I found this a few > hours ago...) > > Young Hwan Kim > > _______________________________________________ > gov1000-list mailing list > gov1000-list(a)fas.harvard.edu > http://www.fas.harvard.edu/mailman/listinfo/gov1000-list > > _______________________________________________ > gov1000-list mailing list > gov1000-list(a)fas.harvard.edu > http://www.fas.harvard.edu/mailman/listinfo/gov1000-list > -- Paul Bodnar Department of Government Harvard University +1 617 230 4525 bodnar(a)fas.harvard.edu

20 years, 3 months

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

gov1000-list January 2004