Return-Path: Received: from post.thorcom.com (post.thorcom.com [195.171.43.25]) by mtain-de02.r1000.mx.aol.com (Internet Inbound) with ESMTP id 0592C38000096; Sat, 26 Nov 2011 15:21:32 -0500 (EST) Received: from majordom by post.thorcom.com with local (Exim 4.14) id 1RUOk0-0000OX-HQ for rs_out_1@blacksheep.org; Sat, 26 Nov 2011 20:20:52 +0000 Received: from [195.171.43.32] (helo=relay1.thorcom.net) by post.thorcom.com with esmtp (Exim 4.14) id 1RUOjz-0000OO-Ub for rsgb_lf_group@blacksheep.org; Sat, 26 Nov 2011 20:20:51 +0000 Received: from relay.uni-heidelberg.de ([129.206.100.212]) by relay1.thorcom.net with esmtp (Exim 4.63) (envelope-from ) id 1RUOjy-0005M4-O4 for rsgb_lf_group@blacksheep.org; Sat, 26 Nov 2011 20:20:51 +0000 Received: from freitag.iup.uni-heidelberg.de (freitag.iup.uni-heidelberg.de [129.206.29.204]) by relay.uni-heidelberg.de (8.14.1/8.14.1) with ESMTP id pAQKKnqf030147 (version=TLSv1/SSLv3 cipher=DHE-RSA-AES256-SHA bits=256 verify=NO) for ; Sat, 26 Nov 2011 21:20:49 +0100 Received: from [129.206.22.206] (pc206.iup.uni-heidelberg.de [129.206.22.206]) by freitag.iup.uni-heidelberg.de (8.12.11.20060308/8.11.2) with ESMTP id pAQKKn9r032555 for ; Sat, 26 Nov 2011 21:20:49 +0100 Message-ID: <4ED149CA.2020601@iup.uni-heidelberg.de> Date: Sat, 26 Nov 2011 21:19:22 +0100 From: =?ISO-8859-2?Q?Stefan_Sch=E4fer?= User-Agent: Mozilla/5.0 (Windows; U; Windows NT 6.1; de; rv:1.9.1.8) Gecko/20100227 Thunderbird/3.0.3 MIME-Version: 1.0 To: rsgb_lf_group@blacksheep.org X-Spam-Score: 1.6 (+) X-Spam-Report: autolearn=disabled,HTML_MESSAGE=0.001,HTML_TAG_EXIST_TBODY=0.126,RATWARE_GECKO_BUILD=1.426 Subject: LF: TA detection of a ham generated 8970 Hz signal? Content-Type: multipart/mixed; boundary="------------030203030609040301020105" X-Spam-Checker-Version: SpamAssassin 2.63 (2004-01-11) on post.thorcom.com X-Spam-Level: X-Spam-Status: No, hits=0.1 required=5.0 tests=HTML_MESSAGE, HTML_TAG_EXISTS_TBODY autolearn=no version=2.63 X-SA-Exim-Scanned: Yes Sender: owner-rsgb_lf_group@blacksheep.org Precedence: bulk Reply-To: rsgb_lf_group@blacksheep.org X-Listname: rsgb_lf_group X-SA-Exim-Rcpt-To: rs_out_1@blacksheep.org X-SA-Exim-Scanned: No; SAEximRunCond expanded to false x-aol-global-disposition: G X-AOL-VSS-INFO: 5400.1158/76423 X-AOL-VSS-CODE: clean X-AOL-SCOLL-SCORE: 0:2:397606752:93952408 X-AOL-SCOLL-URL_COUNT: 0 x-aol-sid: 3039ac1d40ca4ed14a4c05f1 X-AOL-IP: 195.171.43.25 X-AOL-SPF: domain : blacksheep.org SPF : none This is a multi-part message in MIME format. --------------030203030609040301020105 Content-Type: multipart/alternative; boundary="------------040000050600060302070200" --------------040000050600060302070200 Content-Type: text/plain; charset=ISO-8859-2; format=flowed Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by relay.uni-heidelberg.de id pAQKKnqf030147 VLF, The mails are coming in quickly now. Some background: Paul Nichsolson (well known at least from the last=20 years VLF tests) has probably the most sensitive RX antenna on VLF in=20 the UK. He works a lot with PC analysis of weak VLF signals. A few weeks=20 ago he informed me that there is a Mike Smith in USA who has an E field=20 receiver for VLF and set up Paul's software for analysis. They are=20 always recording the VLF data to a HDD to have the chance to re-process=20 it later and add some special filters and so on. Also they distribute=20 their data stream via the net and so Paul can analyse the the signal=20 from Mike at home in UK. In this test they try to pick my signal out of the noise over a=20 transatlantic distance, with further statistic data (proofing that this=20 signal is not by accident (or guesswork ;-) ). It will neither be a=20 "message" nor a spectrogram but just a peak coming out of the noise on=20 EXACT the frequency (+- 1 uHz or so). Quite exciting what they seem to=20 work out right now. If this test will be successful and we will have=20 that peak, then we will have some further informations on how many dBs=20 are missed to transmit a short message, like "K" or so, which comes a=20 bit closer to the usual work done by hams ;-) I will forward surther informations about Mikes locator and further=20 deteils of his RX system if i will get some... Attached you'll find the latest mail and information status. 73, Stefan/DK7FC -------- Original-Nachricht -------- Betreff: Re: VLF: 8970 Hz transmissions, soon again here Datum: Sat, 26 Nov 2011 19:28:44 +0000 Von: Paul An: Mike Smith CC: Stefan Sch=E4fer , Markus Vester=20 Mike, Attached spectrum for first 2 hours of Stefan's transmission. 8970 peak now at about 4 sigma. That peak is not there before 17:00. I am analysing the signal recorded from the coherent stream vlf27f here via vtvorbis and vtwrite to my local disk. Don't want to run this on your vlf01 host as it will hammer the disk and risk upsetting vttime. We haven't tested that yet! All the CPU fans on both my quad core machines are full on as I work through the data... There are at least 6 computers involved in this test, not counting Stefan's SpecLab PC. Timestamped signal streams are crossing back and forth all over the place... fingers crossed it all holds up... Have to check now to make sure your 8970 peak is not some cross-talk between the two channels of the coherent pair vlf27f ...later a scan of your local raw timed data will eliminate that possibility for sure. But for now I can check the relative phase between the two channels, we should see variation... -- Paul Nicholson -- --------------040000050600060302070200 Content-Type: text/html; charset=ISO-8859-2 Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by relay.uni-heidelberg.de id pAQKKnqf030147 VLF,

The mails are coming in quickly now.
Some background: Paul Nichsolson (well known at least from the last years VLF tests) has probably the most sensitive RX antenna on VLF in the UK. He works a lot with PC analysis of weak VLF signals. A few weeks ago he informed me that there is a Mike Smith in USA who has an E field receiver for VLF and set up Paul's software for analysis. They are always recording the VLF data to a HDD to have the chance to re-process it later and add some special filters and so on. Also they distribute their data stream via the net and so Paul can analyse the the signal from Mike at home in UK.

In this test they try to pick my signal out of the noise over a transatlantic distance, with further statistic data (proofing that this signal is not by accident (or guesswork ;-) ). It will neither be a "message" nor a spectrogram but just a peak coming out of the noise on EXACT the frequency (+- 1 uHz or so). Quite exciting what they seem to work out right now. If this test will be successful and we will have that peak, then we will have some further informations on how many dBs are missed to transmit a short message, like "K" or so, which comes a bit closer to the usual work done by hams ;-)

I will forward surther informations about Mikes locator and further deteils of his RX system if i will get some...

Attached you'll find the latest mail and information status.

73, Stefan/DK7FC

-------- Original-Nachricht --------
Betreff: = Re: VLF: 8970 Hz transmissions, soon again here
Datum: Sat, 26 Nov 2011 19:28:44 +0000
Von: Paul <paul@abelian.netcom.co.uk>
An: Mike Smith <michael.smith20@gmail.com>
CC: Stefan Sch=E4fer <schaefer@iup.uni-heidelberg.de>= ;, Markus Vester <markusvester@aol.com>


Mike,

Attached spectrum for first 2 hours of Stefan's transmission.
8970 peak now at about 4 sigma.

That peak is not there before 17:00.

I am analysing the signal recorded from the coherent stream
vlf27f here via vtvorbis and vtwrite to my local disk.
Don't want to run this on your vlf01 host as it will hammer
the disk and risk upsetting vttime.  We haven't tested that yet!

All the CPU fans on both my quad core machines are full on as
I work through the data...

There are at least 6 computers involved in this test, not
counting Stefan's SpecLab PC.  Timestamped signal streams are
crossing back and forth all over the place... fingers crossed
it all holds up...

Have to check now to make sure your 8970 peak is not some
cross-talk between the two channels of the coherent pair vlf27f
...later a scan of your local raw timed data will eliminate that
possibility for sure.   But for now I can check the relative
phase between the two channels, we should see variation...

--
Paul Nicholson
--

--------------040000050600060302070200-- --------------030203030609040301020105 Content-Type: image/gif; name="dk7fc.111126c.gif" Content-Disposition: attachment; filename="dk7fc.111126c.gif" Content-Transfer-Encoding: base64 R0lGODdhewLCAfcAAAAAAP8AAP///wi/AAADFAAAXAAA2AAAvwAUAABeAQDYAAC/ABuPFQBE AABtAAC3AAAUAQCsAADZAAAIAB9kFHu8XGrZ2LcIv5h80QW8qdrZaggIt3D/UF7/RNj/2gH/ CCQEEQBdAPBIIKusXNnZ2AgIvwA0wwBdjgDYbAC/twh7DF5uINhMAL+3AAQDeF4AsdgAEL8A CAAUEQBeAAADUAAARAAA2gAACPcESDkAAAwAAAgAABROD16YANhqAHwBRWAAABAAAC/wDICr IAAIQgCgagDZBwAICAb0CADPoAB62QC3CHwIh2CgABDZgAgIGawDSAYAANoAAPT0D89/AHpN ALe3AAh7RaBvANlbAAi3AAD0UAB/XABN2AC3v0RkdF5datjYB7+/CAZhCFSHoG1M2be3CAD8 hwCrAADZgAAIGQD0wAB/fQBN2tB0SKNdAGrYALe/APSPEs9EAHptAPSERs+8AHrZALcIAJiE FF68ANjZAL8IACHADUBdAAjYAJz8XEerXAzZ2AAINgCgcQzAHF99X9jaE78ICAjkAWBdABrY AAD0igB/sQBNEPR7bM9vXHpb2Le3vwj0PaB/ZdlNBwi3CAik0F9dXNjYEwwWuF+JYdhM2L+3 vwj8bGCrXxrZ2AAEYwBefADYBQC/CBe0DYJdAAfYAAgIABrZAAH8uACrYQDZ2AAIvwDAuABd YQDY2AC/vwAE3AFeXgD8ABTRAF+pAF8AANgAAL8AAAwbJF8AXdgA2L8Av8j0AF7PENh6AFEI SIKgrAfZ2QgICAh402D0jhraWbcIt3skJAJeXcJZ1AFKkwBtTAC3twDwA7gJSGGArNgA2QBe EAAE1ABeXAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAewLCAQAI/gAFCBxIsKDBgwgTKlzIsKHD hxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fP n0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3b t3Djyp1Lt67du3jz6t3Lt6/fv4ADDwVAeCBhAAIPF068EDFBx4Y3QobcmLLHw48LWrZscLNC zIkXI5ysuKFix6AZZ+ZIGnRqzZEFy4Y6WUDt1Yg5R67N+6Hu2LZ9r9Z4O7dhyqIPJk8Om/Ht zrp/JzSumnpw6cF9R8/OfTj22eAH/u8Gnv25d+7Wv5OHbls9effCnY/vPRp99+bXG9/fPzw2 /fyqXWSdf+sFCF94CO70H3IGKjeefAFqtlhpDlLnWnvepXYhc6bZFyF//YEIm3ucYVdiZ/aZ 9xhvJuK3YIoUJiijTxpqCNx2EAIoYnWf6egcau+dNyFEQDaYoY1HLhcahyFKd1qBRero5HEf 9ldjYSy+duCMXLak4nMqNviichdO5x9mOEY4ZodG3vedZz22iWKIc64HpocOyolfkyne2OWf OX2pZoF95phmlHlKyR+DfoZZn58fvrlnnXhSqh6jQRpqpp50ulloeYCGatOYnmGq6H/NDbno g1gmCuqa/kzuNyCcmxIaqa3dlTgllJ8m6mib6ZUX7JaiFkvSlbweZ6qn06X3W3HG6Ypca8A2 i2R7aMa4YravKTthrE/KGueSotFKZpTRUYhsaKdqa+y7QRF7lLw0hcsQvfDmq+++/Pbr778A ByzwwAQXbPDBCCes8MIMN+zwwxBHLPHEFFds8cUYZ6zxxucSuS3HIIdcL64jciryySgfS3Kj K6fs8ssWQfvsgzvCbPPN2rX6I5pnPnvaz0AHLfTQRBdt9NFIJ6300kw37fTTUEct9dRUV231 1VhnnfXI9goJpdZghy322GSXbfbZaKet9tprzzSgr5WyWy++IcXqJd0g2X13/k16r9S3Sn+n FDhKg9dN88zosjc333h/VLhJj0Pe+GWTdxT5sZWzlrlkm1e07qNLksn46IuXbrpMl4+Uukir 1915Rq33FLvjr2M0O+Wknx7T7ZbXLqDvMQPvufC7E4/z8XrxHqjxyDdfl/I4Qe/89HlJPyrz 1GfPlvW5a++9jNzr/v34soXvNvbkp/+V+aijr/77WrFfPPz08yU/TPfXr39V+bvU//4AfMr/ WDLAABowKQUEnPsOyMCiJFBwC2ygBIHyQMJFcIIYVNAFLZjBDoKlgicBoQdHiL8NhtCEJEwh AVFYEhGq8IUnlIoLYUhD1rEQczXMIVNmqLob6vCH/rDzoQ2BOJIAEDFvQnTdEUNixCX2ToZJ xGATncg5KFLRI1O8ou2iSDstciSLXhyeFcOYETCSUSI8HOIZL2LGNWpnjG6kSBvjeC8u4o6O E5kjHptVwi1NK117lIgeA6k4L7UMQmFKYwYHScgVveRXLoobhhrpEEZScpKGrA64DlfISyrE kpTkYZmuUxqZnatbnhwIKPH4s0fuxl1i+hosUymAVdKxlf6jGeiCJSFaftKXosulpirEKUVK EZidXCG1aoWtYCKzILYMpDG7+ExoVpNKUZmmBKO5R20+8ZqqBCcmBWjHBnKTleXUnDgFcs5b prOK62xnHL2pzniKk57w/hSnPN2IT+K804D7XGM/g7jOWt7znwS1JzgHusWCBvSMDP2dQw8K R3A+lIwRDd5EF4rQhir0mhkV40erGVKKlBR+Fw3jSdHY0f2l1IsrjUhM0/dSLc70jSN95k0d stPv1fSKPa3jRkHaUo3mFJlBrcxQSVpUkeqTotlsKv1+SsWkfkaqKIUqbbD6Pqo60ap8PCow wToarqrPq0skqzMtqlVyLlWnN+yafpS11mui9YjGhI+FvvZWpCZRr5zspVh9qchl1omXjhws LdN4pyeZEjqzTOVdc4hLV5LrUJKsLDInW0PNErBTXquSWpvH2R+K8jzEzKxZadrWz36Mmagc /qddW9uU0SKvtDq0bWKfytGKzra3Ue3rWFeLU94S1bfVxC1lictT5vqUtjt0rveU21npKlWx qdQtNo3LVOQ+k7o01K7cuAtX724WuksRr83AC0P1qhdm7H2he62bvfiqcL7CJSx9w0pev5oX mPZNIX6x68kB93e4/6VlAAJMQgPblcEjdHByIexBCX+Xwh208GYxnEENA5jDGPSwLxeMXqW8 12UkBu5W4wniCYpYwS2W4IslG+MGivJxf6zrhUsMuUMCKJH7dV6KjyvM+ChKsBatMQNnKK1d qpbFPG7hKHNTyp6d8sQhG7J+IxvCV8Z2Td7CMsi0vFi5Ak6XcAMy/pRV7NojoyhxSH5wlKVs WFd9OcikVfIBZ+xJMvs3uPrUswH5fEk/IxjQSZ6zUcR8MkPr1581g+CaiSwgULVv0t21naXn F2hF32vTJcR0eYM4TUaLzNFlTjCNPV1WoJ1P1H+utI+lDOtDy7pKe+s0mz0HWr/h+baCDqDy uOzrWj8a0XLetUnNnOtEK/vWnHY2pSXzal1PmzjVlnamfxfbZif72rX99fFQnd3XcdHUWQ42 AHm3LP+JG2fkLnDl2u3tCbO61cRWoLFTremboHvM6t4foSkZ70sOPDABR0rBQ1m7KP67Jgk/ ysIbOTsq55uDgIq4USZOSHb3+spGbmYy/mek8aJwXJpxReOmdRWqkhPl5N1MuceGudsuuXwo MEenK8u1SZpv1+aCybk7L0MkIGVJZ8JK18X/cnOhCB2jzM6ZZ4XDbDBf9t08aXpQnq7SqPPU VR6TlM/HC3SEa318TA7sm4uJ9Z+c3e1v996N62wpJj2cJnHviRHzTr1ha/PuM+H7Tvb+bJXj ut4kD7pBwT0RSBY744oXvPM8fvgVtjzyhZepq0MNeYQvfttu7TxgCM/4xi9dcpf3vOSbR/nr pX70nx/1Fkvddp+sHiekBz2v/V17vWO+9Jo/Pa1Fz/TYxzr0f7r9TXIve27ntfdZ/73uTeoj zidf+s3nNaIe/gn9wWP/+NqvvL6J7xfmg1+i2S477JWPs4PDXvWZR+A72Z8Q+uPd+LZGPsSt Yv/A4//YK7Z8/Pd9+ecU+NR/BoGAMWF+BRhuuDeA8Ad88veAVaGAMMGAAChR5zZ/ELh+8Ud1 4idpAliBBJiB4RdpMTSCVGGBL4GB/FZp2+duG/FTLMhOJfiCzic+FUGDHVh8NSgy7rcQPEiC EchAHMZu3gQ9Q7iCP7gSLqg/R9g5tDeDX8R/TagST1g/UUh0hvd1dDVyO1iFFXiFKZGFU2V9 CdWFnwZnNcdGYsiERXhAWzh7TjVXbvZzbkiFYxiHAIWGn0V3LCNam7OEU8F1bGGG/lnFffiz ctiCdKhhd15XSW9YiGSIEojYVcrUbTEzc4/4ZWoXZo1jiNa0hx5oTplYcY2IY1U2LoiFhxYh igTxg7CYFpd4Vn5IfbOGG7ayV4I4gzUli5Woh/X3fy51i22mibkCib4ojJRYF4xUi6yliMjG Rr9Yg7PIFc9IjFBojJuYftSoEQtmjcEIjkKojYdIi9woUx8ngmX0UpfId9e4Fdk4ju2IFnMI bQ43iO5ojuG0cfT4UPMYFk0UTfHYFPe4bJE4fghBkPsISvD4j3k4jPQYizb4EAXJFAe5e643 jBbZkA3xkF0BkOU4kf3IkPaYjhPIkZXkkQwBktgYkQvJ/o8QaJJnkZHDg4zseBA0iRHvKHFU 5XIi+UskWZEEKZPyiJIguIG/1JHk6JA+2RFACZM6aZQrWJGSOJRTKY0wGIIYF5NMWUZG6ZLM 6H2vOJJOuH9UaYNYmYBI+XUxiHgU+ZU8GZZPOYlkGYZCeZb3l5YGtZajKIP5FG1ZuZJN+ZF1 OZY6EZQSqZf+x5fQiBU2GV1LaZgsWY4qmRMXGZVlmZdYiJZF6ZdxCZgB6JWUWZgtqUcRl5lu J5VsGWBKNpAQ8ZhXEZnQppWD2ZJ8yZlCiJpZ95OruZmLyZZ4OZkyAZsWmZtMtJeiaXqbJ5jC WZpg6ZC8OXi+aXusaU1tFFCW/vSaVmmYyPkRNXaRLNWNk7Kcz4mbs/iOcySeWFSdvgecMZmd 8EmaxdmduPmdWBR47Fl0CWZLxumG0rmQqeme0TefrXmbgnSfjVmU+AmV/odhLzZx/1mWAaqT A+qg1mmg2ImgEbGdnhmb9skSMSabd9RQSll/qzShYVihCXihdpmY10mR8jmcl7mAIaqSIDai DQppmvaWloeikkiMn/mR65lFgqaaGUqjUzmjcqSg9ZmWU5SjD2qbJ5iPn5SiN+qYYVmkoYl3 BHqXeRSQ55mgllmcKjqZUlqfEDpvoEal0ISlQgqiLPqmXaqfGKp3+xRvGKidTnqBZ4qjNqqm boqQ/icqoEG6nnJKpIbajxBXnS4apmY5ph3apy34p6RJiCAqqObpgEDqnYh6nHNakozqpRga pbiXp2L6l3lEqS6RYv45qnO5qpoKl0VHGt5Ip55Kn+ipqMJpqjaBpL76q6gaqapKpsTpp1k6 mJh6nLP6o7hYfSgpoVk6pKeZlcE6pV+Ue8HGdXr6f3xapgtoqYx6rbFqrBe4o2nYeK4YrXD6 qVfJq6NIrjb6k9p6qjs4j2b0rcdaqclqlfKqod45r4NqZOmkN9L6eUaaqMQal//agujaoghr r3KEr5KaqfvaquLqr7Aao6wqog+LfoSakF1poYc6qtSqmwy7secqT0U6/mRH2qDd6mf6WqP8 yo/BuqzwurIDa2LYcbDXerLBGa8q67Asu6QuK4DDKpT5CrB1WrOWerMvmrNEu7Mpuaj3+bMK i7Ki2q8eW7StebS/CrPmuHdLq6QcirFEealD26SCtHC4RaLfdDc4aSXK2KlXa7JZG7Qpq7EC K6vYCbb7l6djW0tly7YX2xKuOq3jGrW72rFVuKZu45Zsd6Ul669AG5/Wurh9a67hFI5r26pi O0hkW7HMergiapzu2rCGm7c0y7kHuqltZoetSHYQm6uWy7pLmrl8q7N+K6OA67Cdu6JKS7pB arpOiLpqy7WTmqBOybFqSbVd9oWH9WR2a5k3/nu5uru3Ebu5y/u3qluGMiq8Elm4vWu1yLp4 qfu5rgud4Lq6uRuwcSu3YrKKSXdlnOGz44q9vbq/hKu+uhqd7quWvwu6wdukotu/xdq91cuv iausGyu4F9uTztuXxUtqc9tlVfeJV1e7d3u7oNrBezvAFWyaWvq132uJ4WvASgtGSUu5ZorA 6RuiENy6Esy0zwu/s3fBPSZ2d0i7uArCrqq/QjvELntOXlWvhGnC/puf5wm3NxyfZNbCC1yu bQvDyYt/M/y/FOy4pYu5OByYfqPBrMJXU+yVUTqQQqy9W1vE6wugS8xO8um5ysvEqkp47ZSF ZMvC91qtjKuoDfyc/vKaxWdbw2a7of16V3MnvXZWt+a7lGcMx7jLvyH8yApMwv4Zx9uLwk1M uHc8uHL8xiS7m3daxX/8l4FcyE27xe3bulyLxFqcrgbYs+2qSmgcyUM8ybTcxhQKyoZmx6CM mLHny8y7wglczJAsyn1craUcmqccwMXMgOR7uDH7uYhcewY7y8fMcRmbtkRMyRZLhScci5gc znTcpeT8ulCsx6ZbcEgKqcusuViMyioLzcRbwBzsxYNLTaMZykBcy5XryPzLxpUMwHN8zBt6 zlGbsAVtyOlszGvLzl8am6Mbp7v7yw59o/R80U/8w/h8wPqsf/cM0Nn8qjJ5pqjrzV1s/sly Gb4IDcwK/Z14zMnivMq5jMzZ+8VM+c67G83fjKDC3LQeyqV1nMlnC8uc2sgcScnarLwmTZQo PcIEDaXjbNFguckLvbUNXdOsjMAufNNcLMo6nck8ncQ1+tMPnKoc3Z2uzKEpFaF0ibD+HLDZ GM8CrNUp/dWqfMkObNAmwaRE/c9Ga6Sii5rbOZ0M6s5PC89Uzdc+ndeMPc38jLffO9bjOY0M LdIwTNI2K8Od+9Q4bbxPrNeAbNclIbPM3L0H/MlcHdlpzdpqjNdAGtZQq9F6O6Y/HdeMjc6t nbCqa9oetc+6DaiZXbpzXbgTrcqt3KFiqs1M6tlFRL4t/dfe/jvTZZzbIf3aNE2YOg24lN24 unrbj43W1G3O0k3ab81fIH3Zwh3ExG29o3206rzVSG3IzL3Xq13apqpl0T3ZMk3LhF3d442r h03Kxz3ezTzMZe3Y9w3Z183bD93dqdyGR/2+ZerPS53cdN2X+a3R3ATZ9T3akAxe8P3SHU7N /X3D+frf2uhoYf3KflzgWn3gk+rRweurUSze5u3gyerb2b2u6dWz523hml3c8X3c5jfXK/2+ H27KuSzi+U3iqE3MBZzinaritSvaiH3fBi3jr0rjz2vjLIzjua3jKw7h6uvWzYu+uF3hbH7a 8M3hyp3a1j3f1/uxZF3g+23iqk16/lS+qFYu4Eku0f3by7NN3u+a4Eh84wsb4Gpd3mP+2T7O s1qrtnJ84Zttn09uzxj+wcG55Kcd4icx4p/e3uOr430eyn9O3VhO4FrO1Vz+v08YxVvM3owe 3DmewmVez2duzYiBqGkuzJaO5EXu6saH5IfuxZ4OzyRGXfWq3xbN33uOvtdd06lO7YGe0yeu 6kAd4Uub6sC+5gy+27he7WleVlbk63I960Pe5ov75hH+7J48564t1k6M4Bo+6vCa2s2u5ajW 4iy+zbWO7Z+s1Ns+tN2+wN8e3iN58EPd22bOtfiF7grK561+xRYfse6uviUu5xVv6/Ru596N 57/80kaL/vEL3u8q6txWTNYzruF1HsxWLamxrsd8btYdX9fqDfMOr+sQz+vSjutoquZQqvGw mukbfemcjuxY2txN3tcYD+VdrO8mL+sqXuSYLNUqnMf52+hDzda53vS1fOQUm/NkTu6Q7sOS mfJBLvQe6uiK/fSajvTHruRLb9/LDtpZK/JXTfJfO/U0X+WmfPWrnqh5/J+lDN2w/vWgHvbF PvZA3+gqz+OgHfGYvvaM796K+9dGj9xyz750P/fKHtMq7ex7/+73vuFUD/jMLPjXXpqja/gT euruGvcBHo41z/kxy/DkHfkPz4+UX+yWD+qYT9HkuvlH3uP4/PmeH/r5HNV6/l/COy78FJz6 fk7i4zz4H/z6Hsz3xO71f07xg974C2/rZS/UAa/Rv//3E8/2QGzGRd/ZcW/sy0/fdT/s0j/t KozzFe2khr3v1I/qABFAwEABAgcGMEjwYMGCCRU+JIgQ4sSJAi02ZJgRo0aOBxM6VAiSociI Di9mlHiyJMWIG0N21GjwI0mXK1kuvAkAwE2ePX3+BDpRJ8qHKlmaRGmUosyWFXF2/OhSKc2m QJUWTfrzIsioHmHaDHo0Zs2uWl8u9RrVItevXsmCfbnWKlWeWzEydcs2ZFmsWKlKbIk3JVS6 I0Ve7Tpz6eHCbQkODRtZ8mShO/EG7olUptybl/l6/u5rGPNZsUGvxnWbeWRoxX8bWx2rki9E vU9p41TbUPPRzaQB+61Z97XTrScVQy06u+roiruzTi3MGTXrp7+TJ29cGDJl7t1/6gTMNvv0 8HWrLwcNVrpR605LT0fb26dd3ytde28qV/by26QdC8aMPaKueyst4NrrbLjbihtwo9pSo+mw /5zrDboEgxOtvpgiFE+1nHbCL0QRHwOgPPjeW81B/3CrCqmx0EuRvej+WpDGzSJErbbWeFPQ PNH2s60/GNFq0C4KaZOvuqkynM+xzlYbbMMl9+KvytNSi1E/wi5E8LLzNlwMOB9Z2m5EM7kD z8sUnxzNxCDvavGsz6gk/sqkGVFkMb6FcAyQOgP1xI+pwcqi60Eai1SxzQULhDNHBa80j0HQ plSPyBMJ3DMw+uBCEkM1E+OUU0irfKjMM08NK03b1IyzTS8Ze5GjV9ED0E7h8Gxw0TX9pHTH 5pwMtS8tCWVzSPcmnZVVLVtcUjrVeuwzytwelMpS5jplDqFBMf21yyCJxRDLXa2tDFVzUy1x 1rbmBNVKIGVdlVYWbb2Q3FzFvBJUHe0jidXmCt1zUxfdM7Y/ZONVtlEl4WXyWcmMNK7PFX/j kzxsMzXQQt48/bZVBMUd9c1SQTy3ZJ5UZbhi53KFFdw8v8wLY3EvpvneHEWmWGaYU4IVWJ0N /oZzTnIHBjq2ZN/Uz80o533U52OXnTY0CO2NmFvZjOS2U2+R+/Lj4EIOl0STxyYz3XjXhVFC d2N1cWC9BKVz4zDlFKtqTOHW8K6ex3NSUIFX9I9auo1GGOlqwWw7bOIeTsvuTb9V7mW74boa yqyv25qr9D5uNjO6TCU7dJQTJ3jlgv9M9GXLB5fx1rlhXtTfqnvlV0i+Af4x1v8mLu1geBPO mWIBG46Ucb0RpVQ3UpW22brKJ/e68aJtSqxf5LL7nOTQt09zeJUvJxp1lgt/W+foZ6acVNxk X3M/Qp2F/de+M106/MClFvY8pfGOSy1fmYYNtNbXqKjdL3LhwVvP/mS2LVkVSltq01zXrNch 11EEdNsbiE601xPtabAyj/OX7ji2NtKp7nEDal295Bc/ObHPffxrjdr6Frn85O5sN+Qa6/SX nnExaT3eU5yuwlIhx41rZf2Sz+SwVLnUKW8xiIGcBBd3qRWWC4Olesx3BAAikm1wiyACYunA Bzht5a+GEjtjCuVWRRpm5St/K8/7vtZGhhFJUgUjmuAARDi2eSt4/6tT0wT4HOPAzVBso14C acZEN/UQjWekXn4mKCYVWvGKWcygT7q4RUwqBDJhtN0Y3VU+6T0ShQ3EX/Scpz43TnImcWTW 1wB3v97ZsI631GOe/LczP+5ydes7HyVN/iM9+pyQQnK0nLLCh8DC6QmCBKoecUz3OkteEotf 9GImM7nJkZlPZCKEif3KODiF0c+MKfzUfVr1NJztapyrLOXppIa7O+IwZ/x5JvJ4OM7+Rcud JRGk8Xi2OmOSh1hYS9ISoXk0Z04vZgN0KNjOd8FLcjGLGhwKNz0IEYwGwGyqy5uVyNgez3SO lOiMYkpZKEmkgZCZLZQlK28JtGXhUmgiPWXAeCmh4CWTVsMJoY8GWkwjGjROCAXZMpNIRVPe i3nhYmglM4jRbF6xixgVykU7SSLwfNRmLJRhOEm6sA6dFJVO1Rcu7Zgwd76UpWOVqf3oVlO3 3bNj59TfOvmp/il/csZOQP2mUIdVpxxm6ag+nePElgrSm5kxkgGz3u/UhyCqVpV7njyZVrXp STAe7nseciJAHbs0yOKVXums4fC+udi57iWhhJwnh2aZWgJSJ6G5zGn7mMXTqDGogYB1msEG a8h5ujE2BE0sPh/7VXM69qGIhaRuhVjNil6Tk1m16GbF5sPVyvSwrhVWhfwCV/4lKoLzUis7 w2k+tw4QrpPFX/5mZ1uFklGX2dptjfraxL2yaZBERO7WMGZXpBIPnrF8kY3Wu6XjTumIU7Sg ZclG1alKuIMX/KRn19qkn/U3ic0iL3tB+sd/wreJwASvhz2i4tkKrrV7/O6BDZfb/ne9Mrz7 bWR/axkZABNVwIaNGdYMrJzjtGtx+VyukKP7LqZu15omy/A9kYi+UF7tbeLtH59+OOJdqrad /DXuikOLYmpVLLCEhXFeGTXjzSFSfElCao6DGV3YHM/HYS1kJIUMP7si2Mixc2jqlGxCcDrS yU8+V5T/nKE5N/harbSQ12BsovPqBoTxbSV8NLeWKycPbZhGb5qPu+YFt9llpIWzT0k7Zv8K dLg6LS6ciRsxktLxqQpG8nMHPb4DOomiiB6Rouns19cUsKgOirSWF4ZWgF6alqyVrmhVXNOY ComVxHWqq3iHV/TyMkZTQyh0gPtfYn77x3kOcoAr7cCu/tWt1BYzJykXOKkPAbtkwh4xsjls GFjCtJywLlqRU8ppRD1b10xW3rTLGVb72vHbOSzkbM7b5rwxMNXhJsy4XR20QFob3Sra8xyD 6ujd+ZXQ9HawxehdNnsnurNSHi+VbUvrG/+beGl87F/jHT/S7U+EZTSpl7sL6gJ+SlFszfmw Yzm73tpSfDv+MkyxDT/JSmXWz8FXsYgKqD0eaefkrJWaI9xyc+E72+19D9S4xkzeOhxMDaN5 EQ0uaH5uuqjUzvWCq5xbNSuRwRTX69Z7GvEtFRuHOJWWufGc6atj+b5pf/gUuw5v6Eou1Llh OdlPZXajN1Lrtb3y02/++GQe/mnrhRXMyiFXULwLt+F7FzWW/T7xdlec4Mbd86pX7Xaouv5G HY91uktvHx1C3u+K4nsRfWt5NGN+7Jo/E+c75nnj09zfu6c66Qm+ypVLnHWq/9fdF+56nMI+ 36dE+kMX7fN3gtvchefwceLr+MSfm/HxBqSo6RvU+eYYeXCvveUblV+DPsqQvusZufoIu+uD IkmzPKDzusg7pEz7GewQP1QTLiK7qz8xOqxLP/OisyK5vYt7vwgyPMKyNvcivps7pgGDEoEj PTE6PheMNgl8QbCLFuejrgL0jgMUjwSMsS9jO/2Sph1yFuXjue9TQR4RvxJrrTfawNpaO4lh OEoL/sGSciISjDvn2rHTgKDnAbi0ET6ISTLGUkDmejgmQ8Ij3JkbrEDO4sFgAyMg+cEzO8PR Gyiby75o274IlDt5WayR2zXrY7Ov6kAOvKuiS0ErZCwsbL9q8bEp9JDyQjwwfK2qgyVDgkG+ M7+S6zZMzEEcxL9H66Y4DJFPosOYCy52qRvH4ysI8x827D7lai5GLJ7OcULagkLUi8H/+0Bb ZKvqST0q2UJyarUeqrU3AzIDUj9FyovJMz40ZDpWdDQCO6xIzDxT7ME5TDBVBK6qK0I97K52 gUDK+8O8CsQmYT1vki8vFLuckrfTw6dJK0QUCzOLO7YTLC8+W8FaXLxA/nRGfePE/QusaRTD YwKXFqTEUtTG7kDFbuy4pmmmcNw9+CLHPKRBGzzDdHQYXBQ69DuWa+Gp0Yq8wKHHd7PH24pE eTtGAVEt7AuzZqK0gKRAQdQU/kOhPru036s9GlxIOGxIh+RGctQpiQRHIqzIcUwjjLRBHkJH 9Ys/j5wpkCS/j0y5WiQYEGzEdhtG4sO2EAzJf3rJBow6IFsqdWFE3OG3gmy+g1Q5j4G3nzy0 oJSMhyRKpxuTaeonm7PIpWRD3XJKklu0DaMgq/zE65vKq0QujztJJHNG51lJLnQ7l6wjmGQf bfu/lIFGSxlBd3NDyTI9uEQ+uZwqukSTocS5/qGqMwajSEjBEV8qR12ESoKESMG6HnbUocjq N8OJx5KUl4IbSV1UyRKUzLCkzLpar8scMHpUF3j8vEeUPB8ytvfrSQ0ztNI0zcmwy9Sktry8 nFdMSrSBzds7TFu8xuqEuqwTp1G7MQwUJl8sS+oDnicczmKUzckETd8gy11czge8oc2UQeo7 urcYtPZLyLhZwOfLzsjYzvtSTbNQKaTUsb6ENZ5JnNOascVEQ2N8S5HSwbcyzN48PgyVTC/r yoxprvuUxOPUz+SMTwqkPIgEwtJqnrbcLzqpsVV5puxZ0LpETQftzs+LG6RUnNcET/KMSfM0 wok8Rl0J0WCBrfUU/lE8TLFAy8XYi8wnpMV9dELLfFFoy0gZtcOb3EpNvBmNydGz0tId7FEO +lH0Wz7QqjQibTRKeqDGaRva0ztoAxvmIkQXNbEHxZkpzZfG4tArPT/7PEyrK88u5c0vfS7k C8AxpdH5jCdVgyY3o5c15SgJa1Mrqh8A2kMxGlJvDCJAsTQ89bek45WoatKsA6ePdC9ZDbGv 8zhkfFT8pM8R0phu1Dm3ydXIAiBABdaBjA8lbZ8j3BbaO9BQIc0v+tSgaFA4Zcpb/M4KPVVY zLM7hajv8hNeiz+uA6up5Cv3zBqU+7QUfcUm40RFyhwC5coqFc0YHRKTg9WAo9S1rNEY/qpS NNXUUkVBBY1WN0Ud8UqauehVrQlDs/AVQfW+N9RAUgxLJx1XuSpKWp2eXXPL93zDXnTXHY3A X2o9tlTLQNpPZdvQLNtKVWw2I4IhsJSvxyLAgQXKUB3FOv0lmbM4AQJDO1und/xZJk3PuPTQ 2Uo4cxUqf8rKE3Ik10xU4Gsh7pPJMG2jUblQZBRQFxQkZG27fvJX4JzEtzOImaVZ7LTZ4cNZ MQNYr5Q5zyQguqLFpi2/6zxUnyza+fjKVXzKz9pPjsW5FpVGygTFkqza+aEtxCjcZx2vG2E4 UeE4HH3A2xFb7CzbeuO43hpVatLZYuJZGYXbDXTHDGU1e4FV/g0EqrytM8xzwEWV20M5RGTt R8KlymKFsKW11UoR1621sZgMFgZi1Q91OBgk27LdDiUDuuMxDQVS2Et0GF363KUVVjz7RnGN 1VX0G3JjT74FVL/1WFbtlhjtv/90W9utvKnJXYQVHldMQRSF3MxMWuH11MotXpEdlMytos1d xgCax4KD3ok1SQj1zMAc3blh3rDtWA3pW3aNPe9VWElNw/E5s/O5WsRVxwPWmt0Nzzcyps3s 05c9ieGl2fkVmJ0dIuXFHN5tXvgrNB31398ELeo9oNPt1iF6O+/E1UnSVT8rSMH1OuiJq5K9 umtVz7mwOvXFNN+dTeCFYdEA4YEV/uFk5dwSrhliROHiCRMBduG63dQxWeJB1Yo5HSb5E9IE ltjunc3vjcHwrUypKq7yzVbqxNsiFr1ZQuLHU+IVMtMmjtYntrL8BWAoFci0PeDEY8vejc/p rd0Ta9tSHaR527eFdEfXBV0XK9iTI7SgFeJ4peDm7dN1fSer/d4qBNo1yuP4HRtTxiyusqTi sLGPW01AfilBvk5C3p1r85k6jY6/u981yldtfeQKjGS31RFK1kqGet0ftmFWnuLo7JEfMmI6 ZloKsmAEhSyB0GNU0eOdyK7rAsoXbOUqLhZY/jAeq2UsPjx2NVpQezQBxWViTmGnSSu/dc0+ q+EdtmOi/l1VdhtjPDQ8xR0taSlZtk2l3/ri1LqIa44+buYgzVJoylVmMXPlP8ZfgQzjLpxl o+1giZ4uRX7jKKRhi+WV7UVnehbjCbnn0XQufYa8z1xbim1mJYnoI47m92xng2YIhN48zqqq TeKmbua09PXjfcPocf5oi3ZaWz7BF07kpMRZd7ZiSo3n77TaqiXmtJxaSYzgXL68XWbmYUKc AuYSvZvmcPabm0ble+skbcYqjcKwjlqxbwZrXDFpitZf/OxkBVNqub4UpjbKXp6upP5Jzpmh OB7qkzZfllRp3otTQO5QCOXXjj6Qd6ZhVymRjQK2q7LsVOaknuYq8Hjr2olr/tJVJ7SrYLvW W1QN59TeaL5+5eCqXcCGWBzWXM0d7TReP1LLZF+cMk52bRGka/0dj0YGR4/yKJxOaO3Kqm3a Kof+7HKD7OWRm6z1HKM+7UQm3axc6nzp694WJthuWtnm6pqp7eS7bXcOJpQzswDubUcM7YZ6 6u5wH2i1t57e6evibOZOVeeWZWHFFumuoIDjVu7IaKG27rBpanV+Z+/2QvBe5gYnVUqEub1W 7Ywt4H4ea1Ek7QoO7hChQ+MWEQrDppzQ6VVubp997gl/Rr9u6cIT7jJG8Ipu8ANP5/dWcA2e 7RXH8ZBOKqUzbwP+be9azpdOsPZWrydpcU07CA83/s35lU4pDJTontHwZnHv6GQOt3HsnuyH kbGVXvAbZ+wvR2BRKW8El9wUx3LJg5bNIXLyM3IrTwwlp0smZ++U9Wr58W823l9Z3uiS6fIz b+3kffF4jfHE5uVkFnMeJ3Mfz3B4LmlFN/PJmLMqf+8kP+s9JplJUzsrJ+Aod3ATPPITp/Ir X1+yea993m0Hf2MZ921qvs10LvMfh+pG5+JubfFI5+7xpfTKPZlLl5y/fHICBnIvn3L4/vSi jnFrKnUuF/VMbjRV36tkzLceT9pHD3RGrXOWUvHcplsYDwk4D0rQmfNgp3Jznu6hsV/CDp0+ H/Wx0fOobuk7KXehhsy7/hFpw23SRS82WVft5tRyyaaM0/D2hgR3sqr2cV8pdJ9uPdd2M1H3 gj+TdldRKoP3/wb0Q1dbCddrO61wdBfkQ8n2HN/2umZIXd9BR3R4+D74eJ/ET1f4f1/2GTcX iGddA6f4jP9vaJ8ZT2OcIkvv1+l4FKn1gn5ykgh4bRz4E4Z5TU96KWfzfy92bn93ZMfegI16 PPdzlcd5jnHq0oZ1RgdzdQZpAi90lyf6Sv/Uo6fipQ/1kwd5bBfwpxf5qr8imad6KJ34WSdi ZwVYnSdnnr9ues/ydTcelRfwryh6U0T72L11SBf8ml/pt8eghld7hp96WV/dsf/7WT+34BT3 /jan9qWno7+HexkeejYlecolIbZ3edVf5JCCdLhn2PCG/YqX4nq2e8e/es3vX5oOdb/PfdcX +87Pa2E39pE//W5O/ckvfNYH9cVfeMqXfalnfNuXeNxv/NTm7y5p3L5PpMwHfrJD5MIv++Mv +QYW/uVX/q+/foQn9VMH/0bGwmtn+vQX7fmbfXa8fLznwfAne9M//cQHCAECAgQYKPBgwYMK FzJs6FBhQogPJw6MSHGhxYsOCWrs6JEjQ5AeR5JEmPGjwIgiO57EiLJkw5YZZcK8WNBiwpUS Nbas6dMmy58uWwIAIPQo0olFQ4a8mbTkyZ42pT7dSLUqxJ5XsfLc/rrRoEmSV72mTEpzp0uu ThGm1BqUK1ayZHmCXbgULt6SdynmzMuXKUydftMObvq18EjBQWeK/fv26FnHceuCVUx54lzE h4GavSxwr+bQn41yzlw1ak3LhU2bdSuabuDLpse+xOuVNV2cbTdLfp34MWTPAkD7Lkz8MG6k qFMXF47YdXPevxn/xlwb7m3slHNC7x3d+8PkMYUf/861PGDxQpfHLq7+Z3fzbGO/py3fOeHT 1C3LvQ9eOnzkkebfeQNah99g7+UnmoLMjUdgWfQl6F92au0XX3gQArghc0QZqCFS6C3oW4Pz kdgchvIlR1CJGd5XYVwXrgciYJwpJyCN/k+JiBaKp/UIYYtPiadaZy/CplZaRB6ZI4J59bQj kx5BGWF0QQYZJZYcdjVhliZO9mCXAZ7Y0JRhOlTmlVD5aCabN6aW5ohRwuncnBrWeSBDZbap EJp74uknoNeJdWegSIJZqI0MnvkhonkyemijhDb63ZCSThocpJdSuKimZD5a46SWdqrom6Pm mKKpPzqa6kF9aioqq1wGBmusS/JYq3ucxuoqrr12WamvKmoZrF9PfnqpnsQqS6N6tC57q5fP ymrXsZMmKy22lIqZrXnOKmtsrddyO26Y3pIL7blFrtrop+Km+66d8I4pr7rUsjucpxq6O9i+ fvWb178AV1tc/sBwFdwkSQdjpXB76wY6IKMM6ziwbxInZXGIFFessWgYH3VwkB4LJfJPJIcG scP+mVzTyjC1rBfHHces2csJzzwszPrebNzO+rbqaFFBCz000UUbfTTSSSu9NNNNO/001FFL PTXVVVt9NdZZa7011117bTWiKFP7Ndllm3022mmrvTbbbbv9ttth/0wv3XXbfTfeP/ecN999 +/03m3sDPjjhhRt+OOKJK7444407/jjkkUs+OeWVW3455plrvjBFBgY92ufndc4nyQN/CLHQ Bo/OJ8Crzz1c6h1X7PpnrcbOuVJ2tZ4766CLbDrpgtNOZvC1Y2nUscgbj6/wFyl//ia+0Uuv 4/S6o/666slLX3r1rKNMWvM+PU9z93qbXz712l+f/UPj7xV+7uovD7/17Uf//fHYv+4++iHq P//2cFc+/IlNdcvrHfP6V7L/BRB/szugvxjowATipYAIVB79dAdBAPKvghI8nwJd9sHaTTBH Ftxf/Tx2QgAi8GIjDCAJM4jCPM1QgI+aIAZl6DwGGnCAIMyh6DYIwxCy7IUFRJ4Oh3hBDVJP iCccn8pSt0Ilgg98I5OiEVvIMiw6sYZ3ad7QlOjFjH1uijiEnRA9mMYg+pCEerNiVcxYwzhm cX5wbGIbp5dEOR7wjiasYx5d2EUW2pB4hNTixwCZRDFy/lB/i4TeGgtJQzdCUId8ZKT/BolJ SyqyhzecY/406UdEjqyOj7zkJQWZxykmUpRifKQhiajKT1Kyepx0ZSTF18lJ4pGW91PjKnMJ Iih67pdL5FwxzwdLCvZRj6D0XzJrKUsRRpOZz2OlB5dJw2ry7457dCYIp6kXcErziKLjpjGz 2cJrMjFKngMN6kIXOjbCLpphpOc8txe7fNLRdva8XT9Bp8V3ajOWJyueIxGKT3j683cK1ac8 uefPCwIUj/WkKD8Dx6SCSmmjBOKotTyqMpHeB6SbOylKU6rSlbK0pS59KUxjKtOZ0rSmNr0p TnOq053ytKc+/SlQgyrUoRK13ahGPSpSk6rUpVawon8UZkfmGVGpMrWqQTXpLDNpTQ1C0ape xSlWtQq/M84Nm189q0tPh0aB+g6G8lzrRTHJSyRmVCNkNZ5Z0arXlO7Timf8q19/aFeAtsup bK2nOaG618VeTq3BWwpgyxhOuTIxr7yz5RgZq1mVOjahtexqCe+nMbEJ74nNVOxmU+u4zrKQ i5AVLGnd167JjvOzlRSnanOrONYetqzX/KJvI8bDBhp2sPH8X1h1q9zBjbWsy30udEdCv7pG t7rWvS52s6vd7XK3u979LnjDK97xKjcgADs= --------------030203030609040301020105--