From chemistry-request@ccl.net Mon Mar 1 02:56:34 2004 Received: from web9701.mail.yahoo.com (web9701.mail.yahoo.com [216.136.129.137]) by server.ccl.net (8.12.8/8.12.8) with SMTP id i217uWd4004352 for ; Mon, 1 Mar 2004 02:56:32 -0500 Message-ID: <20040301075757.52926.qmail{at}web9701.mail.yahoo.com> Received: from [193.179.225.19] by web9701.mail.yahoo.com via HTTP; Sun, 29 Feb 2004 23:57:57 PST Date: Sun, 29 Feb 2004 23:57:57 -0800 (PST) From: Bruno Sopko Subject: Re: CCL:Question on using AutoDock 3.0 To: Jerry Ebalunode , chishotr{at}whitman.edu, chemistry{at}ccl.net In-Reply-To: <200402261019.33509.jebalunode{at}uh.edu> MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="0-59374389-1078127877=:51008" X-Spam-Status: No, hits=0.0 required=7.0 tests=HTML_MESSAGE autolearn=no version=2.61 X-Spam-Checker-Version: SpamAssassin 2.61 (1.212.2.1-2003-12-09-exp) on servernd.ccl.net --0-59374389-1078127877=:51008 Content-Type: text/plain; charset=us-ascii I personaly use bash, but autodock3 works under all shells (tested). It is neccessary to set AUTODOCK_UTI environmenty variable to the autodock directory. (.bashrc file in the home directory: export AUTODOCK_UTI="your/autodock_directory" ) The problems I have encounterd are: 1)addsol.c - some changes had to be done as the "pdbq reading part" was no flexible enough. 2)mol2pdbq script does not work under my environment, but "autotors -m" works fine, so there was no reason to do anything about it. Hope, this will solve your problems. Bruno Jerry Ebalunode wrote: What is your default unix shell? Is it bash , csh or tcsh? On Thursday 26 February 2004 01:25 am, Bruno Sopko wrote: > I am afraid you will have to recompile the source code. It should work. > > Bruno Sopko > > chishotr{at}whitman.edu wrote: > > I am attempting to use AutoDock 3.0 free of charge from Scripps in order to > do molecular docking and modeling and am having a bit of trouble. I am > using a MacOS X platform, and have downloaded and located the appropriate > executables, but am unable to get them to run. When I click on the > "AutoDock" executable, it brings up a Unix terminal with the following > message: > > Last login: Mon Feb 23 11:39:35 on ttyp1 > /Users/biology/Desktop/autodock3; exit > Welcome to Darwin! > SCI-317-03:~ biology$ /Users/biology/Desktop/autodock3; exit > Segmentation fault > logout > [Process completed] > > > Does anyone have any information that could help me with this problem? My > Unix knowledge is fairly limited, so any relevant information would be much > appreciated. Thank you very much for your help. > > Tyler Chisholm > Whitman College > Walla Walla, WA 99362 > > -------------------------------------------------- > This mail sent through Whitman College Webmail 3.1 > > > and send your message to: CHEMISTRY{at}ccl.net > > HOME Page: http://www.ccl.net | Jobs Page: http://www.ccl.net/jobs > > Jan Labanowski, jlabanow{at}nd.edu (read about it on CCL Home Page) > > > > > > > --------------------------------- > Do you Yahoo!? > Get better spam protection with Yahoo! Mail -- Cheers, Jerry Ebalunode Graduate Research Assistant RM 402F Houston Science Center Phone: 713-743-8367 Dept. of Biology and Biochemistry University of Houston 4800 Calhoun Road Houston, TX 77204 -= This is automatically added to each message by the mailing script =- To send e-mail to subscribers of CCL put the string CCL: on your Subject: line and send your message to: CHEMISTRY{at}ccl.net Send your subscription/unsubscription requests to: CHEMISTRY-REQUEST{at}ccl.net HOME Page: http://www.ccl.net | Jobs Page: http://www.ccl.net/jobs If your mail is bouncing from CCL.NET domain send it to the maintainer: Jan Labanowski, jlabanow{at}nd.edu (read about it on CCL Home Page) -+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+ --------------------------------- Do you Yahoo!? Get better spam protection with Yahoo! Mail --0-59374389-1078127877=:51008 Content-Type: text/html; charset=us-ascii
I personaly use bash, but autodock3 works under all shells (tested).
It is neccessary to set AUTODOCK_UTI environmenty variable to the autodock directory.
(.bashrc file in the home directory:
export AUTODOCK_UTI="your/autodock_directory"
)
The problems I have encounterd are:
1)addsol.c - some changes had to be done as the "pdbq reading part" was no flexible enough.
2)mol2pdbq script does not work under my environment, but "autotors -m" works fine, so
there was no reason to do anything about it.
 
Hope, this will solve your problems.
 
Bruno

Jerry Ebalunode <jebalunode{at}UH.EDU> wrote:
What is your default unix shell? Is it bash , csh or tcsh?


On Thursday 26 February 2004 01:25 am, Bruno Sopko wrote:
> I am afraid you will have to recompile the source code. It should work.
>
> Bruno Sopko
>
> chishotr{at}whitman.edu wrote:
>
> I am attempting to use AutoDock 3.0 free of charge from Scripps in order to
> do molecular docking and modeling and am having a bit of trouble. I am
> using a MacOS X platform, and have downloaded and located the appropriate
> executables, but am unable to get them to run. When I click on the
> "AutoDock" executable, it brings up a Unix terminal with the following
> message:
>
> Last login: Mon Feb 23 11:39:35 on ttyp1
> /Users/biology/Desktop/autodock3; exit
> Welcome to Darwin!
> SCI-317-03:~ biology$ /Users/biology/Desktop/autodock3; exit
> Segmentation fault
> logout
> [Process completed]
>
>
> Does anyone have any information that could help me with this problem? My
> Unix knowledge is fairly limited, so any relevant information would be much
> appreciated. Thank you very much for your help.
>
> Tyler Chisholm
> Whitman College
> Walla Walla, WA 99362
>
> --------------------------------------------------
> This mail sent through Whitman College Webmail 3.1
>
>
> and send your message to: CHEMISTRY{at}ccl.net
>
> HOME Page: http://www.ccl.net | Jobs Page: http://www.ccl.net/jobs
>
> Jan Labanowski, jlabanow{at}nd.edu (read about it on CCL Home Page)
>
>
>
>
>
>
> ---------------------------------
> Do you Yahoo!?
> Get better spam protection with Yahoo! Mail

--
Cheers,

Jerry Ebalunode
Graduate Research Assistant
RM 402F Houston Science Center
Phone: 713-743-8367
Dept. of Biology and Biochemistry
University of Houston
4800 Calhoun Road
Houston, TX 77204



-= This is automatically added to each message by the mailing script =-
To send e-mail to subscribers of CCL put the string CCL: on your Subject: line
and send your message to: CHEMISTRY{at}ccl.net

Send your subscription/unsubscription requests to: CHEMISTRY-REQUEST{at}ccl.net
HOME Page: http://www.ccl.net | Jobs Page: http://www.ccl.net/jobs

If your mail is bouncing from CCL.NET domain send it to the maintainer:
Jan Labanowski, jlabanow{at}nd.edu (read about it on CCL Home Page)
-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+




Do you Yahoo!?
Get better spam protection with Yahoo! Mail --0-59374389-1078127877=:51008-- From chemistry-request@ccl.net Fri Feb 27 04:21:16 2004 Received: from web9702.mail.yahoo.com (web9702.mail.yahoo.com [216.136.129.138]) by server.ccl.net (8.12.8/8.12.8) with SMTP id i1R9LCcS030937 for ; Fri, 27 Feb 2004 04:21:13 -0500 Message-ID: <20040227092217.92473.qmail{at}web9702.mail.yahoo.com> Received: from [193.179.225.19] by web9702.mail.yahoo.com via HTTP; Fri, 27 Feb 2004 01:22:17 PST Date: Fri, 27 Feb 2004 01:22:17 -0800 (PST) From: Bruno Sopko Subject: Re: CCL:Question on using AutoDock 3.0 To: jebalunode{at}UH.EDU, chishotr{at}whitman.edu, chemistry{at}ccl.net In-Reply-To: <200402261019.33509.jebalunode{at}uh.edu> MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="0-407160145-1077873737=:92077" X-Spam-Status: No, hits=0.0 required=7.0 tests=HTML_MESSAGE autolearn=no version=2.61 X-Spam-Checker-Version: SpamAssassin 2.61 (1.212.2.1-2003-12-09-exp) on servernd.ccl.net --0-407160145-1077873737=:92077 Content-Type: text/plain; charset=us-ascii All shells should work fine. But I prefer BASH. B. Jerry Ebalunode wrote: What is your default unix shell? Is it bash , csh or tcsh? On Thursday 26 February 2004 01:25 am, Bruno Sopko wrote: > I am afraid you will have to recompile the source code. It should work. > > Bruno Sopko > > chishotr{at}whitman.edu wrote: > > I am attempting to use AutoDock 3.0 free of charge from Scripps in order to > do molecular docking and modeling and am having a bit of trouble. I am > using a MacOS X platform, and have downloaded and located the appropriate > executables, but am unable to get them to run. When I click on the > "AutoDock" executable, it brings up a Unix terminal with the following > message: > > Last login: Mon Feb 23 11:39:35 on ttyp1 > /Users/biology/Desktop/autodock3; exit > Welcome to Darwin! > SCI-317-03:~ biology$ /Users/biology/Desktop/autodock3; exit > Segmentation fault > logout > [Process completed] > > > Does anyone have any information that could help me with this problem? My > Unix knowledge is fairly limited, so any relevant information would be much > appreciated. Thank you very much for your help. > > Tyler Chisholm > Whitman College > Walla Walla, WA 99362 > > -------------------------------------------------- > This mail sent through Whitman College Webmail 3.1 > > > and send your message to: CHEMISTRY{at}ccl.net > > HOME Page: http://www.ccl.net | Jobs Page: http://www.ccl.net/jobs > > Jan Labanowski, jlabanow{at}nd.edu (read about it on CCL Home Page) > > > > > > > --------------------------------- > Do you Yahoo!? > Get better spam protection with Yahoo! Mail -- Cheers, Jerry Ebalunode Graduate Research Assistant RM 402F Houston Science Center Phone: 713-743-8367 Dept. of Biology and Biochemistry University of Houston 4800 Calhoun Road Houston, TX 77204 --------------------------------- Do you Yahoo!? Get better spam protection with Yahoo! Mail --0-407160145-1077873737=:92077 Content-Type: text/html; charset=us-ascii
All shells should work fine. But I prefer BASH.
B.

Jerry Ebalunode <jebalunode{at}UH.EDU> wrote:
What is your default unix shell? Is it bash , csh or tcsh?


On Thursday 26 February 2004 01:25 am, Bruno Sopko wrote:
> I am afraid you will have to recompile the source code. It should work.
>
> Bruno Sopko
>
> chishotr{at}whitman.edu wrote:
>
> I am attempting to use AutoDock 3.0 free of charge from Scripps in order to
> do molecular docking and modeling and am having a bit of trouble. I am
> using a MacOS X platform, and have downloaded and located the appropriate
> executables, but am unable to get them to run. When I click on the
> "AutoDock" executable, it brings up a Unix terminal with the following
> message:
>
> Last login: Mon Feb 23 11:39:35 on ttyp1
> /Users/biology/Desktop/autodock3; exit
> Welcome to Darwin!
> SCI-317-03:~ biology$ /Users/biology/Desktop/autodock3; exit
> Segmentation fault
> logout
> [Process completed]
>
>
> Does anyone have any information that could help me with this problem? My
> Unix knowledge is fairly limited, so any relevant information would be much
> appreciated. Thank you very much for your help.
>
> Tyler Chisholm
> Whitman College
> Walla Walla, WA 99362
>
> --------------------------------------------------
> This mail sent through Whitman College Webmail 3.1
>
>
> and send your message to: CHEMISTRY{at}ccl.net
>
> HOME Page: http://www.ccl.net | Jobs Page: http://www.ccl.net/jobs
>
> Jan Labanowski, jlabanow{at}nd.edu (read about it on CCL Home Page)
>
>
>
>
>
>
> ---------------------------------
> Do you Yahoo!?
> Get better spam protection with Yahoo! Mail

--
Cheers,

Jerry Ebalunode
Graduate Research Assistant
RM 402F Houston Science Center
Phone: 713-743-8367
Dept. of Biology and Biochemistry
University of Houston
4800 Calhoun Road
Houston, TX 77204

Do you Yahoo!?
Get better spam protection with Yahoo! Mail --0-407160145-1077873737=:92077-- From chemistry-request@ccl.net Fri Feb 27 09:50:59 2004 Received: from usstp09.itcs.purdue.edu (usstp09.itcs.purdue.edu [128.210.5.248]) by server.ccl.net (8.12.8/8.12.8) with ESMTP id i1REovcS006477 for ; Fri, 27 Feb 2004 09:50:57 -0500 Received: from purdue.edu (chme117bpc3.ecn.purdue.edu [128.46.108.125]) by usstp09.itcs.purdue.edu (8.12.10/8.12.10/scan-smtp) with ESMTP id i1REqC4X006582; Fri, 27 Feb 2004 09:52:12 -0500 Message-ID: <403F599C.1050304/at/purdue.edu> Date: Fri, 27 Feb 2004 09:52:12 -0500 From: Aaron Deskins User-Agent: Mozilla/5.0 (Windows; U; Windows NT 5.0; en-US; rv:1.0.1) Gecko/20020823 Netscape/7.0 X-Accept-Language: en-us, en MIME-Version: 1.0 To: chemistry/at/ccl.net CC: ndeskins/at/ecn.purdue.edu Subject: Solid-Gas Thermodynamics from DFT Content-Type: text/plain; charset=us-ascii; format=flowed Content-Transfer-Encoding: 7bit X-Virus-Scanned: by amavisd-new X-Spam-Status: No, hits=0.0 required=7.0 tests=none autolearn=no version=2.61 X-Spam-Checker-Version: SpamAssassin 2.61 (1.212.2.1-2003-12-09-exp) on servernd.ccl.net Hello everyone, I had some questions about extracting thermodynamics information from DFT results. Specifically I'm using the VASP periodic code to model the adsorption of gases onto a solid surface (A + Solid --> A-Solid). A paper by Sohlberg et al. (Sohlberg, Pantelides, and Pennycook. J.Am. Chem. Soc. 2001, 123,6609-6611) examined the incorporation of hydrogen into bulk ceria (H-Ceria --> H2 + Ceria). They began with the free energy: delG = delH - TdelS. For the entropy term they neglected the solid-phase entropy since Ssolid << Sgas, and they give a reference for this assumption. They then assume that delH ~ delE. So delG becomes delG = delE -T*Shydrogen. They take their delE value from DFT results and Shydrogen from a tabulated values. This provides a nice way to find how the reaction proceeds as a function of temperature. So my question is this - is the assumption delH~delE a valid assumption? If so, are there any references to this assumption that would help me? A similar approach to find solid-gas reactions as a function of temperature (and pressure) is taken by Arrouvel and his colleagues in another paper (Journal of Catalysis, 222, (2004), 152-166), though with slightly different equations. Any help is appreciated. Aaron Deskins Purdue University From chemistry-request@ccl.net Fri Feb 27 07:39:51 2004 Received: from eos.fwall.u-szeged.hu (eos.fwall.u-szeged.hu [160.114.120.248]) by server.ccl.net (8.12.8/8.12.8) with ESMTP id i1RCdocS003079 for ; Fri, 27 Feb 2004 07:39:50 -0500 Received: from localhost ([127.0.0.1] helo=eos.fwall.u-szeged.hu) by eos.fwall.u-szeged.hu with smtp (Exim 4.24) id 1AwhIb-0006EF-Ay for chemistry/at/ccl.net; Fri, 27 Feb 2004 13:41:01 +0100 Received: from eos.fwall.u-szeged.hu ([127.0.0.1]) by eos.fwall.u-szeged.hu (SAVSMTP 3.0.0.44) with SMTP id M2004022713410131332 for ; Fri, 27 Feb 2004 13:41:01 +0100 Received: from mail.szote.u-szeged.hu ([160.114.96.63]) by eos.fwall.u-szeged.hu with esmtp (Exim 4.24) id 1AwhIb-0006F2-8M for chemistry/at/ccl.net; Fri, 27 Feb 2004 13:41:01 +0100 Received: from ovrisc.mdche.u-szeged.hu (IDENT:qmailr/at/ovrisc.mdche.u-szeged.hu [160.114.101.224]) by mail.szote.u-szeged.hu (8.9.3/8.8.7) with SMTP id NAA24603 for ; Fri, 27 Feb 2004 13:40:57 +0100 Received: (qmail 20855 invoked by uid 525); 27 Feb 2004 12:40:57 -0000 Received: from localhost (sendmail-bs@127.0.0.1) by localhost with SMTP; 27 Feb 2004 12:40:57 -0000 Date: Fri, 27 Feb 2004 13:40:57 +0100 (CET) From: "Dr. Csaba Hetenyi" To: Szilveszter Juhos cc: chemistry/at/ccl.net Subject: Re: CCL:Docking software vithout validation In-Reply-To: <20040226073653.GB845/at/computer.org> Message-ID: MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII X-SZTE-local: YES X-SZTE-AVcheck: YES X-Spam-Status: No, hits=0.0 required=7.0 tests=none autolearn=no version=2.61 X-Spam-Checker-Version: SpamAssassin 2.61 (1.212.2.1-2003-12-09-exp) on servernd.ccl.net I agree Szilveszter's oppinion. In my view, using commercial modelling (e.g. docking, MD, etc.) softwares is quite questionable from a scientific point of view. The main criterion of scientific work is reproducibility. My question: how is it possible to reproduce scientific results obtained by commercial softwares which are not available for the whole scientific community??? (That is, if you do not have several thousands of dollars just for yearly licences you cannot check the reliability of data published with commercial softwares by others. Not to speak about the availability of source codes...) There are good initiatives, like the AutoDock, GROMACS, etc. projects (free programs for academic users) which should be considered by software developers in the future. Best regards, Csaba ------ Csaba Hetenyi, MSc, PhD Dept. of Medical Chemistry, University of Szeged, 8 Dom ter, Szeged 6720, Hungary From chemistry-request@ccl.net Fri Feb 27 19:00:02 2004 Received: from carbon.chem.ucla.edu (carbon.chem.ucla.edu [128.97.35.55]) by server.ccl.net (8.12.8/8.12.8) with ESMTP id i1S001cS021820 for ; Fri, 27 Feb 2004 19:00:01 -0500 Received: from silicon.chem.ucla.edu (silicon.chem.ucla.edu [169.232.135.10]) by carbon.chem.ucla.edu (8.12.8/8.12.8) with ESMTP id i1S01HQj029575; Fri, 27 Feb 2004 16:01:17 -0800 (PST) Received: from [169.232.140.142] ([169.232.140.142]) by silicon.chem.ucla.edu (8.11.1/8.11.1) with ESMTP id i1S01Ha14554; Fri, 27 Feb 2004 16:01:17 -0800 (PST) Mime-Version: 1.0 (Apple Message framework v612) To: chemistry$at$ccl.net Message-Id: Content-Type: multipart/alternative; boundary=Apple-Mail-1-834848572 Cc: Paul Ha Yeon Cheong Subject: Regarding MP2 methods. From: Paul Ha Yeon Cheong Date: Fri, 27 Feb 2004 15:58:16 -0800 X-Mailer: Apple Mail (2.612) X-Spam-Status: No, hits=0.0 required=7.0 tests=HTML_MESSAGE autolearn=no version=2.61 X-Spam-Checker-Version: SpamAssassin 2.61 (1.212.2.1-2003-12-09-exp) on servernd.ccl.net --Apple-Mail-1-834848572 Content-Transfer-Encoding: 7bit Content-Type: text/plain; charset=US-ASCII; format=flowed Dear CCL folks, I am performing a very large MP2 calculation, close to 400 Basis functions. The job runs very slowly in Gaussian98, even with %mem=8196MB and MaxDisk=8196MB on a 4 parallel processor IBM SP machine. Is there another program that has a more efficient MP2 algorithm? I'm thinking of perhaps using MolPro, Jaguar, GAMESS, or Q-Chem, but I would like to have some input before experimenting with such an expensive calculation. I'll summarize the responses that I receive. Yours, Paul. PS I would use the standard DFT treatment for this molecular system, but I'm trying to locate a CH-Pi interaction. And hence the use of mp2. _______________________________________ Paul Ha Yeon Cheong Member of K. N. Houk Group Department of Chemistry and Biochemistry University of California, Los Angeles 607 Charles E. Young Drive, East Los Angeles, CA 90095 "A world is supported by four things: the learning of the wise, the justice of the great, the prayers of the righteous and the valor of the brave." - Dune, Frank Herbert "Companions the creator seeks, not corpses, not herds and believers. Fellow creators the creator seeks--those who write new values on new tablets. Companions the creator seeks, and fellow harvesters; for everything about him is ripe for the harvest." - Thus Spoke Zarathustra, Friedrich Nietzsche --Apple-Mail-1-834848572 Content-Transfer-Encoding: 7bit Content-Type: text/enriched; charset=US-ASCII Dear CCL folks, I am performing a very large MP2 calculation, close to 400 Basis functions. The job runs very slowly in Gaussian98, even with %mem=8196MB and MaxDisk=8196MB on a 4 parallel processor IBM SP machine. Is there another program that has a more efficient MP2 algorithm? I'm thinking of perhaps using MolPro, Jaguar, GAMESS, or Q-Chem, but I would like to have some input before experimenting with such an expensive calculation. I'll summarize the responses that I receive. Yours, Paul. PS I would use the standard DFT treatment for this molecular system, but I'm trying to locate a CH-Pi interaction. And hence the use of mp2. _______________________________________ FuturaPaul Ha Yeon Cheong Member of K. N. Houk Group Department of Chemistry and Biochemistry University of California, Los Angeles 607 Charles E. Young Drive, East Los Angeles, CA 90095 Helvetica Futura"A world is supported by four things: the learning of the wise, the justice of the great, the prayers of the righteous and the valor of the brave." - Dune, Frank Herbert "Companions the creator seeks, not corpses, not herds and believers. Fellow creators the creator seeks--those who write new values on new tablets. Companions the creator seeks, and fellow harvesters; for everything about him is ripe for the harvest." - Thus Spoke Zarathustra, Friedrich Nietzsche --Apple-Mail-1-834848572-- From chemistry-request@ccl.net Thu Feb 26 13:34:27 2004 Received: from comm1.umaryland.edu (comm1.umaryland.edu [134.192.1.5]) by server.ccl.net (8.12.8/8.12.8) with ESMTP id i1QIYQcS010720 for ; Thu, 26 Feb 2004 13:34:26 -0500 Received: from rincon.umaryland.edu (rincon.umaryland.edu [134.192.68.151]) by comm1.umaryland.edu (8.12.5-20030918/8.12.5) with ESMTP id i1QIZZBv021151 for ; Thu, 26 Feb 2004 13:35:36 -0500 (EST) Subject: CCL: RE: Docking software vithout validation From: Victor Anisimov To: chemistry^at^ccl.net Content-Type: text/plain Content-Transfer-Encoding: 7bit X-Mailer: Ximian Evolution 1.0.8 (1.0.8-11) Date: 26 Feb 2004 13:35:30 -0500 Message-Id: <1077820536.12425.25.camel^at^rincon.umaryland.edu> Mime-Version: 1.0 X-Spam-Status: No, hits=0.2 required=7.0 tests=NORMAL_HTTP_TO_IP autolearn=no version=2.61 X-Spam-Checker-Version: SpamAssassin 2.61 (1.212.2.1-2003-12-09-exp) on servernd.ccl.net Hello Everybody, I just wanted to say that there is no harm if authors are trying to present their work by using the terms "we are the champions". Indeed, this is the choice of customers not to buy, the choice of publishers not to publish, and so on. In reality most of the decisions what is good and what is bad are driven by personal preferences even when the judgment is based on best intentions of advancement of the science. Do we indeed possess a gold standard in any area of science or all we have is just best by now but limited experience? It is nice to have different alternatives. Be sure, one who makes the choice can always find the way how to make the best choice. Doing something right is itself a difficult task but it is much more rewarding than limiting the life by imposing the imperative rules. Finally I wanted to thank Szilva for attracting attention to this complex but important subject. With kind regards, Victor -- Victor Anisimov School of Pharmacy University of Maryland +1 410 706-7441 >From: Szilveszter Juhos > >To: chemistry^at^ccl.net >Subject: CCL:Docking software vithout validation >Date: Thu, 26 Feb 2004 08:36:53 +0100 > >Dear All, > >As flexible docking getting to be an accepted tool in virtual screening, >it is nice to see the growing number of such software available on the >market. My only problem is that most of them in the last months comes >without any validation data stating simply that "we are the champions". >It is just like walking in from the street and trying to sell something >without scientific background. Probably it works for double glazing but >I am pretty sure companies spent months with validation so I would >encourage them to publish their comparison data. It is true not only for >docking of course. > >The so called "GOLD set" is more or less the "golden standard" of such >docking studies and easily available, it is even pre-processed for >docking. So please, please use it and random library sets (as used ie >with Glide) if possible. > >Thanks: >Szilva > > >-= This is automatically added to each message by the mailing script =- >To send e-mail to subscribers of CCL put the string CCL: on your Subject: >line >and send your message to: CHEMISTRY^at^ccl.net > >Send your subscription/unsubscription requests to: >CHEMISTRY-REQUEST^at^ccl.net >HOME Page: http://www.ccl.net | Jobs Page: http://www.ccl.net/jobs > >If your mail is bouncing from CCL.NET domain send it to the maintainer: >Jan Labanowski, jlabanow^at^nd.edu (read about it on CCL Home Page) >-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+ > From chemistry-request@ccl.net Sun Feb 29 16:38:33 2004 Received: from alumni.ccu.edu.tw (alumni.ccu.edu.tw [140.123.26.5]) by server.ccl.net (8.12.8/8.12.8) with SMTP id i1TLcNcS012024 for ; Sun, 29 Feb 2004 16:38:26 -0500 Received: from 69.22.246.30 by alumni.ccu.edu.tw with Mail2000 ESMTP Server V2.71S(918:0:AUTH_LOGIN) Mon, 01 Mar 2004 05:34:26 +0800 (CST); (envelope-from ) MIME-Version: 1.0 Message-Id: <40425C71.00001A.01964@YA> Date: Sun, 29 Feb 2004 16:41:05 -0500 (Eastern Standard Time) Content-Type: Multipart/related; type="multipart/alternative"; boundary="------------Boundary-00=_H88V9Y21VA4000000000" X-Mailer: IncrediMail (2501351) From: "Yung-fou Chen" To: Subject: Some questions about intermolecular hydrogen bonding. X-FID: 84D04D09-DA39-4736-BB4D-142853CD7DFC X-Priority: 3 X-Spam-Status: No, hits=4.0 required=7.0 tests=CLICK_BELOW,FROM_ENDS_IN_NUMS, HTML_50_60,HTML_FONT_BIG,HTML_LINK_CLICK_HERE,HTML_MESSAGE, HTML_TAG_EXISTS_TBODY,RCVD_IN_DYNABLOCK,RCVD_IN_SORBS autolearn=no version=2.61 X-Spam-Level: *** X-Spam-Checker-Version: SpamAssassin 2.61 (1.212.2.1-2003-12-09-exp) on servernd.ccl.net --------------Boundary-00=_H88V9Y21VA4000000000 Content-Type: Multipart/Alternative; boundary="------------Boundary-00=_I88V4961VA4000000000" --------------Boundary-00=_I88V4961VA4000000000 Content-Type: Text/Plain; charset="big5" Content-Transfer-Encoding: quoted-printable =0D Dear Computational Chemist.=0D =0D I am a new use to Gaussian 03 and I need to something with intermolecular hydrogen bonding study (the cooperaivity, bond length and interaction enthalpies) by DFT B3LYP D95**. I can construct the molecules (dimer, tri= mer or tetramer and so on ) by Gaussview, but How can I input the structure a= nd construct the Z-matrix for more than one molecules? Or Where I might be a= ble to find some information about it. =0D =0D I am new so if I ask some weird questions, please forgive me.=0D =0D Chris=0D =0D Philippians 3:13 to 14 =0D I don't regard myself as yet having laid hold, but one thing I do. Forgetting the things which are behind, and stretching forward to the thi= ngs which are before, press on toward the goal to the prize of the high calli= ng of God in Christ Jesus.=0D =0D =0D =20 --------------Boundary-00=_I88V4961VA4000000000 Content-Type: Text/HTML; charset="big5" Content-Transfer-Encoding: quoted-printable
 
Dear Computational Chemist.
 
I am a new use to Gaussian 03 and I need to something with intermole= cular hydrogen bonding study (the cooperaivity, bond length and interacti= on enthalpies) by DFT B3LYP D95**. I can construct the molecules (dimer, = trimer or tetramer and so on ) by Gaussview, but How can I input the stru= cture and construct the Z-matrix for more than one molecules? Or Where I = might be able to find some information about it. 
 
I am new so if I ask some weird questions, please forgive me.
 
Chris
 
Phili= ppians 3:13 to 14
I don't regard myself as yet having laid = hold, but one thing I do. Forgetting the things which are behind, and str= etching forward to the things which are before, press on toward the goal = to the prize of the high calling of God in Christ Jesus.

 
______________________= ______________________________
<= A href=3D"http://www.incredimail.com/redir.asp?ad_id=3D309&lang=3D9">= 3D""  IncrediMail - Email has= finally evolved - = Click Here --------------Boundary-00=_I88V4961VA4000000000-- --------------Boundary-00=_H88V9Y21VA4000000000 Content-Type: image/gif; name="14_a_phone.gif" Content-Transfer-Encoding: base64 Content-ID: <030433D0-7CF3-4336-BAF3-01DE93D40AD7> R0lGODlhIAAUANUAAP+7DP95AP+zInqje3qMVv+iAP+nIv/OLP/WM/+qAf90AP/FF/+UJf9sACJm ff/LIf+8Ff+aAHqedf/zZiJbb/+GAP+2Bf+uHv+uGP+ZBf+WAP+dAP+MAP/bPv99AP9WAP+BALbV 6v///zeMxf/4bCJpgf/qWP+1Hf/PI+S3I//6dP+cI/+RFv/HIf/DO//VUf/bM+Trd+TSTP+pUf+3 SP+wU/+3FeRxAP/dcHqUXv/jSP9nAHpnNv/rU/+RAAAAACH5BAEAAD8ALAAAAAAgABQAAAauwJ9w SCwaj8ikcslsOp/QqHRKrQpdicIFcxIItpdCwRB9ATRCBXEnjERW0AeAJQzQajPGRyiIBKALGw1C EAgHLRBqPxkcik4WFXs/MhIODgQ3aQ2SUxIjISEjPFZDJCUhIiIhFAykP6aoqhQepCYkA5+hBCAg VTgmKjGVDjkpfrRSNg86ExM9OjAPFgUaDX9RCQAHHR0IKAsWCRsbHINRHD4aGRkaFRUeAfEB5kdB ADs= --------------Boundary-00=_H88V9Y21VA4000000000 Content-Type: image/gif; name="41_b_letter.gif" Content-Transfer-Encoding: base64 Content-ID: <765C217A-DCAD-4C77-92E4-CDBD8C437EE4> R0lGODlhIAAUALMAAPX76/Tuw+zYjf//9PHETKiWTO7Te+7Qc+KlF+rgpaumeOfqxOrw1uzls7Sw gv///yH5BAEAAA8ALAAAAAAgABQAAASI8MlJq704602J/2AYcsVgnmh6EmSBqLBJDKxWGIIbozO9 FQfBIveK9Xy2IAAw1KWOsp8BYGIkFE7a4cCTBk6MhgOLOB4MBmTm9j0dGokxDF3DsKkD7iDQhgHq FzcJX3o7fAEeSYOFKocfHA83jCeOiZASQH17fI+XFGyHiJaeFaCdpIGnqKuXEQA7 --------------Boundary-00=_H88V9Y21VA4000000000 Content-Type: image/gif; name="47_g_letter.gif" Content-Transfer-Encoding: base64 Content-ID: <5355979E-D157-401D-B30A-650816F4928C> R0lGODlhFgARAJEAALXn8w08UwMDAgAAACH5BAEAAAMALAAAAAAWABEAAAI+nI+py+0Po5x0hIvz bRf4DwYCEwAl+AnAuJwnqK7k967pTHuxjpurumMpXCibrOUr2oSJjlLHTAim1Oo0UQAAOw== --------------Boundary-00=_H88V9Y21VA4000000000 Content-Type: image/gif; name="IMSTP.gif" Content-Transfer-Encoding: base64 Content-ID: R0lGODlhFAAPALMIAP9gAM9gAM8vAM9gL/+QL5AvAGAvAP9gL////wAAAAAAAAAAAAAAAAAAAAAA AAAAACH/C05FVFNDQVBFMi4wAwEAAAAh+QQJFAAIACwAAAAAFAAPAAAEVRDJSaudJuudrxlEKI6B URlCUYyjKpgYAKSgOBSCDEuGDKgrAtC3Q/R+hkPJEDgYCjpKr5A8WK9OaPFZwHoPqm3366VKyeRt E30tVVRscMHDqV/u+AgAIfkEBWQACAAsAAAAABQADwAABBIQyUmrvTjrzbv/YCiOZGmeaAQAIfkE CRQACAAsAgABABAADQAABEoQIUOrpXIOwrsPxiQUheeRAgUA49YNhbCqK1kS9grQhXGAhsDBUJgZ AL2Dcqkk7ogFpvRAokSn0p4PO6UIuUsQggSmFjKXdAgRAQAh+QQFCgAIACwAAAAAFAAPAAAEEhDJ Sau9OOvNu/9gKI5kaZ5oBAAh+QQJFAAIACwCAAEAEAANAAAEShAhQ6ulcg7Cuw/GJBSF55ECBQDj 1g2FsKorWRL2CtCFcYCGwMFQmBkAvYNyqSTuiAWm9ECiRKfSng87pQi5SxCCBKYWMpd0CBEBACH5 BAVkAAgALAAAAAAUAA8AAAQSEMlJq7046827/2AojmRpnmgEADs= --------------Boundary-00=_H88V9Y21VA4000000000 Content-Type: Image/jpeg; name="clean_sea_3.jpg" Content-ID: Content-Transfer-Encoding: base64 /9j/4AAQSkZJRgABAgAAZABkAAD/7AARRHVja3kAAQAEAAAALQAA/+4AIUFkb2JlAGTAAAAAAQMA EAMDBgkAACy+AABCcQAAk3L/2wCEAAoHBwcIBwoICAoOCQgJDhENCgoNERQQEBEQEBQTDxEQEBEP ExMXFxkXFxMeHiAgHh4sKysrLDExMTExMTExMTEBCwkJCwwLDQsLDREODg4RFA4ODg4UFxAQERAQ Fx4WExMTExYeGx0ZGRkdGyEhHh4hISkpKCkpMTExMTExMTExMf/CABEIAekC6wMBIgACEQEDEQH/ xADoAAADAQEBAQEAAAAAAAAAAAABAgMABAUGBwEBAQEBAQEAAAAAAAAAAAAAAAECAwQFEAACAgED AwMEAwEBAQAAAAAAARECEhAhAyATBDAxIkBQQQUyFBUjYEIRAAEDAgQDBgMGBQMEAwAAAAABESEx AhBBURJhMgMgMHGBoSKRwRNAULHRQgTw4VJiM/GiI2BwcoKQwhQSAAEDAQUFCQAAAAAAAAAAAAAB ITERECAwUJFgkEGBoUBwgFFx4QISMhMBAAICAgEEAQQDAQEBAAAAAQARITFBUWEQcYGRoSCxwdEw 8OHxQFD/2gAMAwEAAhEDEQAAAL7b7ny9iAKJ2V0sV0sW0iVM3hs+lQUYjrKSG1gyinyYdjaWK9PK mMdVhMFdLFdLVXSxXSxXSxXS0V0sV0tVdLRbRxbRxYSxbRJVltKpu2LzbqJyjqxynpJy7qxybpxy 7pFnPrqSDNUzYxHXywF1SOcUoYAxFbbGZXhmNsOLl9bsXxub6vyjxej0fQs8rj+oji/L0vHvnqHK 2VuvlaWyQyPC86nCtNTnZU09DoE+NaA5tyeVOktoarCWK6RK6d4nmhVdIFtHFtHFtHFtEFtHFtHF jAlu3j9rlqXS/Rw2j3pz1ynq0ci9erlbpeXjHWhyDpXWefWSo89ZbzCu2o9h0c9S3QJeWfYlnHPr jqRSsdAu25iNROaNWey7+vyejlfUlCnPR7eTplrOssUeZ6HJ0zxy9mfTPjD0vL6ZhC8O2Q6Cx356 KliTv4LtzvIOjj3Ilx0ygZie6NHPqzo0lh1zCrecs8wsGIBiK22BjgbEGxl9P1PK6vPvu6PO6eWu 5+R+euo8tc22m8OJxKcvLxdselDzt1z6Lxti0Vxmyndae0KZtjLSvOcbKwTl6R5qu47zrWxFF0eG rO/MemT4t7c9Od6dG2NUryIdkqvL5693Pqcvn9sO2PNn7nH0z59+r1pfD4/pvJs4mpPcfr8+0g83 t5+kWVF3FzFNSZlVbLZMUAmbWrmwmfCZsiZsLmwmcC5mVbKZem3BTnfRHB0Zr9HKJfXfyn531T5Z jo4Zc/XNJJuub2BxruPCMXuXkEd1eCub1pzBbbknqUTj6Nyk2aEKpTNJ6qVKtRLZGwvzuV1yak75 PWbY1VBSWbtMy42TKy1KQk2p0d/D189V4u1s68nw/svL78/md6HD6uKhtqY4xLM9TzOq7q2a1OV8 U7t7MXxOf6WFvz6ev53bEM41lQ+EzalD4TOBczS5wId4aLKgpxtGKCnUYO2KqmDtSVxQ41z06ay8 dgsU5jOiStU0lCq7UvlaV2BGrE5vfXzFxPU3lMejfy65vqU8+3O9z89ee7NOubJbTJcndy9M+PH0 fO9XGnpeO6fSdPgd3m7+lPl2Kvz/AL3mejl5ucenkQbS879HVnXL2Dq5aTn6Z5vHy+lPpB3cVMXv HPTnrl871ebtjz07+XriGfbymYUocC5sKTgK+AGAM2BjhcSAGksjZpYa4hnLY1ug9XPUFs2byw7e bU4Tk65eOTUww1A6kpWNc6oytLgRCqw1gbFkulJens4Lct+h0eb18enY/KeeurcxivHXn3mHPTm9 HJJUXphqSaXuvyW5dKef6HMectV9HJWDHR6Hn9XDreFNjU688NZ7Uk8MZpVBI1VUJuastwtW8eSn teVvEc+6ZnqATNhc2FD4UNgY5QHaMajHRBhYooty1YaPV6vO6eHXpnHjDxMnfmFbbygcC5gKSVNE pNOwOdYHC468xmCZsYDqYp0chl7z5+xfQbgJ2800oq23lcxibjUXnouk9NKG2sISQ7CXo6/PbG+n j6MvK6jpzIwCyYZdpQGGs7u4bY363FWvHr4a9UPTwnn2omYiZsIWwmbCh8qsDLQqM6wIsAJuVDAL z0pRtYoYUocCZsKHFKTgur52xBmsdpNibgYmZVjgE4GYwubC58LiRSSAMRM2E1CSLgXNhC2FJypm ICNADaxM4FzClz4TNhcSN18T42/NRdSefaygfChwi5wKGKpmCrnAMSLmwMwAGFLmwmYIubCB8qZh S5sLmwGDZ2Ts0SDIWzTALZlS2BmwAxhc2FLYXMRC2Fz4UPhGOgBtYhYky2VM+FDYQthM4Rc2FD4T OKQtlTOBC2EzgUPkQOKAbChwLmypnwgfCFsLmwM2RM6qubUocCZwKGwmcCZxahbCnGb22mmdGizK +c4gwpOuQSzKGhiJslJnwpbQuYiFsLnAucC5wLnAuZiWfCZsANhM4sTPhM4Vc2EzETNhcwsXNlTO EQPlQOSeqomfUmcCFsITgYkXNkTOFTOBM4FDYQPhQ4pM4EzhVxDWBzeZXl6KH2OF8NfX86ybpXWA 2LGJwRtCkG3YNGOK7e55/PXGH3TmuoSWoITOBM+pA+RA+pMwBmFLnEKHFLiwmcCh8JmwmbCZ8JmI gpiZYUuOFDYUOKXNhcSDEAxwuIBlysFFPpEfIpTTI2QDLhd7bNFleWjmnNu7ktzvrQ0eWkkydeYa XVcxDohwuc8/RnNeb0/TW49/lqe/SWMOyPPXF0XGpuLt0cPR0c9nnx9Y9Ofh70Kbx5Y7pazzii6w ofCB8IHWgy4Icyzza5UPhMwpcwFzFUbYTNkTPqQPhM2EzYXNhc2FWgJLbWxY6ttoE3FSFVt2XS5K khrJamIujRHltSfXyL1GvLS9Tbnvx5+vz9McVLCyyP0Y15HbStddfGHPXvnm6uPWaW5bBMz6Y0WT eNzs2s4200opyJ67eEc69yPDaI83qjePJp6cbOJ6apR6JWGbDWRglzTKyYHADAG2BtKqhHNjgYkU bAxwAdS5sDHADAAOEJFbVlKNtQD6EZcURVVZUGtSDLrRrO0X6efp43r6vHXnr6KXnvz11KWXVisP SeSgitteO0dYinRTcN5DnqkBDWX0RvPQebHUeVS8DqpNNY9uVjo6/POL2GAlKI287QFzfIQmeQZ5 VUphp4GpKsrT9jj49+AhPR56aeShmCujqtpaHVHoqSRoSA4G2ButfV8vrnwdUePbzx38Xt8SZhvm MBRBtjrHVhjtBGXvyzo2pdp25la5zF6JUzqzxTF6dyMdO5yUTRsdVfTNc5vO1ZIYlNQEiwYCiJsl EVKpRKRNgBWU6WaZwdAAZjohGkxGqs7LmpkGjqerGh6EaeP2PNp41vK9Pduflbp5PX4zk28VE8Uy 6U5VSonqrpEoJmVuhH8nr650jw9C9HHWL83ILALc/s8mr5kpr3m8rn8/f1+Xr4PRywG9PHMH1kNS mJLXEk8XEaoiZcAZtEx0zJarLE9Ty8Y7ljj3oE87eiE8/dwrjHULOY0Wxc+gZiTFsRN0EDsSFFpR QImc1POIQtqXxfc+Z8/o8no5+nyeyVuRspX8V6/RT5HL7/H9Hvm11j6ufx8eHf7QfMN24/S75ls6 +kr4FI9qnldO+a+VCXL08fzfueVx6c6++/Lp85voVl+fX33Or6D5VfRx7/F6Xz08Pq5fVzKezD0v Tx6bzr6uLKV3gLhnGweQFSjlFizwoW3OU6NyVOg8rydY5cdu4gd28509BvPEeluHJ3DiU9Dedj0t 52PQPm49Lebj0z5bnpbzXT0G81I9U+QD195YPWXzSeivBgcvbs9Pn/p46WXP6CyX5S2o4Lo8qGK8 lyW0SzaYaVOL0Dnpz0oNc/jI/Xpz9Xjr7XNrny8PtDOvF+c+6eb+H+l9h2eH5L71V4enpnrn8B9N 31m/nu3rXtpLI3eBWXWUnYZwmoucjOxPWxI0aJGxOfWKQ3QDmpfHK3RiGtkgelSM+snI19ZDdGIp 0EgOhkgOhJZNcnOejENfJEXaIC7HOOknO1gRNyQ3RoiavENbETYpLWyzNDEy+E1TETTVHWxHWBHX ERaytS1QSFskdVznFwRW4Xlj1c/TpFWXr0ALIrUpjnz0u2Mc56DJz0oVkOgpAdOWJqSC9AIr1Y5m 6FTmPSTmNskNcLJegJz0oCQ6ATFsQLmgtBCE4wdQY4V1KbEGbIrbBCQVDISqgQ7Tw5nooZMPpkrp qVygoZEqsitTHJQz0tQoWhkpXI5iFkabTtlzdXN16c6unXpnR0q078uTPKmcl5mCQwrLkZkw2RYp gbdlyMDjZQNkNYzyVVHibgUwxFIYnmFEbRsVGZdRAMZk1EZjOFhlYAIoIy6CDlZWyKyuAMqnAmZA MVVKo2lDgKUYDmeKbKM0sbbD5cEaK6DT67kpHTpmV0pWVOXK+U4zhNbOpZvBYKM0egnmQIIGabCi iADERwtOq2kVLIKM1BatEswpSXhA6UHSgudYmKNSZ1AW0ItNSlmgFMFTlzhTbURVphS8YYFlnqqA lU2BVRqKuGpHVpGRmVAVRjJlOdQTYWxlafTclYdOmdGStI25ci+bGWWkoBJpWLyIldbPMEDu0sQ8 rKMloiLCzMiS1VXJthTFdDhRYTPphAVDNmrK84cUkbZjZdVZ4QwbAbUJo7EjsWg6GYOo2AjrQUbA S4FVlFJw6FlmrAKsoSwAMhVQALUkgy2xSsum5Yr06Gk6SOc/Pk1ZHGaGRGdKQBRiVYkZCpY8vQmF YS0moprzKFGxgEqmTJnR4xYk9TAE9RKdMczNqzJ0RMskHKtNlqqqcmwpCEkVkUtplcHSscYnRSPJ lVlAp35ayOhCq2SnyvBlRhQsCo2p8RCpjQVltSNE6bkrL06FlZKUi/LldotnNjK+R0wLWRsroUlz UmK4ULK5O8wbIGbpQCZkA+ClpOPJsgfpWXm1lR1gKsgcGoozSaKSBHEpnSpoSFecrka04AoJrI+J tKMYVhlhqMAtNDWLKZ2QTM4s7qsMzWSvhCLRBkwpjgGG1s5Xl06SVl6bxzI1ZnlysdbGJrSsc9HJ yNYWm2XJNOlNWYi81sc7mVELkxS4ueBanIyXEqrI1kKS6NWTRByBXyVRskorHU4XFRPSVmUWqxqI 15CMUHUMAjU9eZpaKREx2QEm1K517GIFyDMIjPpauU1W2m5THXyEGsqRPVFIldXKnRHr0kGXpvMC lXSnLm6scY1JVRldsuIda6K2tHNncWxnKxkUZa4g4nXVOQUgrY/QnRlGNJ2adbHmdjdK85o0nOtF M7861RJl9KoNSkkaFlpExVpOtjlDaxRYyBma6LredBmxLbUBkFK5qZ1aF1GFpMyqlOeysmwJVBod sl5mvqUBSmVVpyGXTahl67zo6WK05csy3xgoyyh5TqxV4bn6gQoEourxqzyHPOJtPWdORVZbA1Ia LTXUWhZEVlH6lObpmVM0TRZQXhOsEIbNZJL0UScXEMuqcM0KwnL06uLrah18Kwzbd3m9FjCT1ksY 5KtPTXigddIDzMRbG3bt44V5slObrmvGKJTNCy8m7I9d84I67zKUesn58+uZbnmSo9bXSRehVjop FVVVSw0HVHN0Iy5pIbqkEqoiXWa0LAk65JNRVtqJrF9yWHnbQVMLXMylTDphWOILedVlRYNUidXP KlUflKmVaVOqpFKc3MelGVA9nnvHTLc5crMLiddNJLL08bIjnne15tEHRzWIS7OSm6OZItNaWmW3 TUwy9N4jUy5s5qZbMqJFF2YrpiOhYMWUEbSK10GqzczRTRFWpztF1hjoPMUtXjc6G5jL08mFNFxV qc2igQI9I46YBVrfjqNpyO4cTHdKIjoSbgaQss0CtFmCqpjoHOydAhl605idaS0VSS1SkGKvxUKt EFzzKV0hV5oVrPGDkwVUapG27tsbbGZdBBBtsErg4YxGCNjEEJXBy4LIQ5cMBglcMVwwGNhglcNl ISoCQBspNtg4AbKQlQPlxtsHDBy4dRh12MyEbKBgMNlw2XBxAcuDhg4YOGCNjbattl//2gAIAQIA AQUB+vkkkkkkknSSSevKBXHcVyUQPqS9ezGySSSSSdFo2SST1NaPRGTE+n26J9RjRGsCqY9UCXS+ pMQrDuVto0L14IIMTEVdYIIIII6no+qBklLk9MkMyYrifoR6M9EdOJiYkdCFA6yOpBTVsb0THomJ +pJOjei0j0WhoggQtWiur0gggjWWK0+pA0Kol6kGJiR6LQupnsJ/bmhf+Jn7W20T6CsT9mZub6yS PkMyWTYmxLbzM0ZL69kkmSJWjaMdt+vAxMjIlm/0c9bGYmPStUtII6IN/QcIXJv6V7lbQVsnq7QL okekEEfRuyQ7TpW8CafW9i15NtE4K8kluSCSvobaSSiUZEkk9Ekkok2NjbS6UbjkhixRmK9sszuH cMy12NtjTIZuS1WWxFfVgg3IIIZBDIZBBDIZBA6kM3NyCCNY0xIIZDN4aZuIr9vX29av7YtX9sWr +2LV/bFq/ti1f2xfb1q/rWR6y1fox6EevHTGr6F0QQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQ QQQQQQQR9x//2gAIAQMAAQUB+4wQQR9wZH0y6ZJJ+kggj6WSSfp0QNehBH0UejJJPSxiYmSPWNY1 ZH1qZJIx9D1Wkk9TXrT6skkk9M9E9a+0z1pj/wDDx9tS64IHX7RsQQQQbmBgQjGo1UhIwMGYvqj6 qCCDcgUmRt15EmJiQjb6hdEk9E9D+gSkfHt6VKDSZasa1rJHXP0qq2KsaWpI011pSVpGrUluOCvH o+iSSSSSSeqSUSSSiSSSSSSTjvvImjJD3MR0rjijtnbIRSlY2RKJRKITfxQ2hv6xWgbnWSSdctFy qMkZIzRmpreqG0O6Zkvt61f2xav7YtX9sWr+2LV/bFq/ti1f2xav0Y+zP7jHVGkelBBGkfVQQQQQ RpBBBBBBBBBBBBBGkEEEEEEEaQQQQRpH3X//2gAIAQEAAQUB6Z+mgj6qfRgggggggggggggjpggg j1YLSSSSSSSSZCZGiMTEaHo2STokJDRdQSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSJCqKpgYGBiYmB gYGBiYmJiYjWkGJiYmJBBHpQQckRhaf67L1dBSzj43Y/rbX4r0ZVlbSWExFnrO9kTBJVlUJDZd1Z JJkSSSSSTpJJJJJJJJJJJJJJkSSSScVBV3rQVDAwMDAwMTAwMDExMTEaLaJQVTMTExMSBogjrWiW 2Evj4kYI8nibrwcVca8KMDl4latvG5EKjRLTyKjbFI7wKyY2kZOcUyygo9/xmi9x7lieqdEy3RJO k6zpOk6TpxVytWu1aiQiCCCCCCOhkobG2e4qwKSqEtGQNDQ0Mb65K2ZWyK2FZMbZWqmqGMdUzl4o b4Ey3jVIdS1x32bb0bYtjIcs41Dq01yS7Jst7EENdSJRkRJDI9fgUCK3QmSZE9LHYdzvD8g7hmxF lo3vVi6GxsbLWJ9DcTKO57Cq2dspcmRlpi02IGi9EclN3ihkNntonpuUkfGcixdiB6JmxCGiNY0b 6Y9PjZlukVZkjJCZJJJkWuX5d73YrChulCBMYzEU6SSWsZl7jvI/QgSMUViIKi2Gt62SNmYjoOtk NosXhj4DtOFQ7WR/VRg04MdqfEnbm/ifiNIEOYI6I64I61UxkooSSRmoz3d7TW4rIyMh3OTmgfI2 WsSYyKilMyM0ZiYtLWgzHyF+QVpHuRpHWipsIyMhWPcaJsnWzet67P2VHLrBekLg4pdeKqL0L1S0 kzgXKjkvL2I1UasgxfrxrJkZMycVknTLfKDuqFyo7kl3JMDYir2bMtstExXMzujtkQyz23le06ST ouhCEiOioraMTaO4x3ZkNIWxeCyk41BUaktw1b5PGq68nG6voRaNffSRblaqO1WOxu/HY/GsW47V MGR6MdCWkmRkZmTYzIyMj31kdiSWVezZuRcWklmIYizG+pCRVC0ZUTWqkSkxMSCDdDsZNmZS9Yrb SBo5+BWV/HabTTIIHvpjsKjO2dvbJ1FyM47JlUjEvSR8e1qw49NLSepv0YFUiCCtJLKCBsbIEWYr QO2kiYuhMqyUSNpiKsyRItJ1Yy9S1obsU5IOLlTK8kisNj3OWvx5f5aIxIIaK0lV40h0rDqkXomY MoVcJMZybF0QNfUwxIVdEmxUIxHuNIsiI1fQtF0SZGZm0dxiudwT2TE9EJLRodSykvxItVpibRx8 hXkFc7ha5y0q+j3XHVN9srWLEjRA0KhujIyLbjqOu2Pqx6KqMqhmwiClRJDMNnBaC2xlA7dSF6KE VYhMTESTo2XLWZa0liBMV2it5JHWS8ofvotjje6Wj2JE0z8tLokkYyyk7UluLZ1a+iVSDYbPcgkq yrQhwWscnIyfRQvSqJw8ytxWMjIyMx2L7lrDZv0V2U7yXQ10L2VytpGh7GZmZbZDuzMT0kb2q4at vX3vxJp1h+utHpHQiloFYfIi/LI3PprrjpQrFeQ7qO4hXM4HctyEvWCD20TMhuelPaTjs5zRaGOu k6ySSydUUjTl4pGvoFpHUmZEt/XZMyJ+gggq4J3kfs16dHvW0D3XJXf15+8x0yT6qZntcesawR9X BH1kawR0x9JP/jI9KNY+qjqjpj66PTj7RH1KFUxF6cdMdUdMdEEEfekJmT6VoqmA6NEdcelA1pHT Hox6sEEaR9eitZXavo4E9VpLJNjbpggjWNII1jpj6aFpGkav69e/HbFrm8eL8Cs7cVkYtPojXEXt J7ElOV8dqvx7U5sG/Wj04+kjqgjolm58iGfI+RlYzZmZmZkyelCJFyXOKzudrjZbhpVPjzd+O1Lb EEawOo6tCyntcjSXJVcXBy5Vq2v6VW7eFeaeJRVr43ClbxIdPEfc5u1S1uFzfjtT1Y9aCI+hlDxE 10tjtp8T4kVNjbpQqoxqQUFyQO7bd7J928KZ7V4iG2TAuO7XY5mU473fHw8dK9ujO3SokkO9ULlS H5NEPyKsXNQ7iZmk7qt3WvGXqnX+rZn9MvwWq1x3a9CSWQxpfQRpHpwQbEVMUQQYmCMCKkIxRC6l Gm5VoUNV7ZyYVV/ckhxVZcbriOjng5ueirytuicJCTQ5HuRAx1R8SBvkQ+bmxpe6JuNwcXOnx5or eC/JkX47DTNxU5GsbFeKR8DMGjBRDMfpYI0j0IRBBBBizBnak7SO3UwQ6IdepIo6z2qWKcNVbBFq 1dey2n41h+NyC4vIq45U8bXS4eStnx8pzW5anF5lp/t8QrplrDsSNjsODBnbR+IRsi7+S5MbX5lY 4+SzSshcqY672VSzMkO472ZNidPcaYn6LVit0+qemfTdLquuTQ3Ou+uI9amBTj2qVZ7kj5EO1WSh OrSfyyYrDuWVbD4uObPkO/5FSnNa6lFrIyMiTIkyJLVlKaO3LVjdDGp+Fxbtt1pV2b42OsG/TLkd oaunpJKHdI7ldFS1kYISj0oR+Gm1jc+Qp6eLjY6s5eDHrgiRIsoWiFYryIXIh2M3P9lRVq5giKjZ Jkhi30taDIyFadPy7DtJJJJkZGVjJje2xsTBJ3DuOKXtVdyzHkZOo+ZCuZMyMkZJkJnbqJDMtIKc bsVolTk4cyLkWRlYyZlv7kabm5v6VaJqtaKtobwTL8WShEdKrBBdMeqEbksUlUVuqiuZoyRmhtHc cdxmbHYkyRmbkaOyJIjokZL0xcH4YtFayMrMlkIjWDdla3a+ae+kjukcVchbGW2xyUrcaa12Zt0z rJJPRTjc1vRO3LxszoivLVjshtcrckklauwkjaLXaHyT0ITE1psJnwI4xwSjJGSMh2RKJqVwE+NG VSTuIsLZzUs5NiSRPTcTQrKpZzqtiakkkmSO4jNTK0rBlA7yNmRWtrleDC3yMnDV8FkNNl1krePe HK6JNiSdJ6U6C5PGxvzcFKx4lheP4thcPBYw46Pu8Ef2uBHHz+NyK9/Hd7+f43jD/ffrD/T48r/t tv7XDyLvJmRPTLJZkZGRmzIyZmzNmTJJJ0kyek+vsRpPqJ2q/wBj+x8nx6+P5H7/AM18lv33DWn7 X91xlv2n7Gw/3P7Kt1+2/Ys7kNe6tNHkq8Ne5ZQ3Sy5FS1b3Tq+WV3bWVXhZ2r8jtWOXldKc3k8t qeT5NHwW5bclbJN4mJBiYn6jh47eO35Lv5nLzU5f63Le2XLS1G3XilHHJXWBcaFwydg7LOzyi4bn YR2DsD4WLhUdk7PGPhFwqOzQXDxHZ4BcHjHY4RcXiC4fFO14p2vGO1wHb4B8VB8VDtM7VztXOzyH a5Dtch2bHZZ2TtWO1Y7NjtXOzynZudrkOzyHZ5Ds8h2eU7HMdjlOxynn8H7C9/G87zOB3/befdVv 5fJVKxzeNz8nJx+J5fLfzF+x46Ly/wBg/I7v7DxuOvlef2eLz/2PG/H5P2yXHx/vjsfva2X+7x8t /P8A2T8jl83zuQ/0Oar4b+W13vMx8leZycdv2Xm15Of/AEfMOLxeaxX9dyMX6zkuf5nIz/PP6KR/ m2Rxf3PGtXn83kvy+V5L4Z/Y38fBs4fF5HXj8RlOForUjSSWZMyZmzuWO4x8kHcZ3DuWM7k3MrTn aW3CbNz5G5KZM6RYxsYMwsdu5FzHkZhc7fKYcx2/Int8x2uY7XMdnmOzynZ5Tt8hjc7XIdrkHS52 7Haszts7bO0x8Z5f9jj4r83NU4K34/DXJxJePzeNQ/X34q+NnxHBH9jnpx34fITdvh3OJNeQ+1Ph tLxdiVpyKluO9eC3Fw04LLxq1/q3vx8ar5nFyV8S9DjtyYfqn4tvFr/XXjfoOfxuDw/G8nwq3XJ4 64OK3jLw+R8Pkftefn8OnNTy+Hjv4N/Br41f6/Hx+M+P/N8Tls/G46qvFWq7+3TsZo3FdG5uOu+8 xviNbTp8ZklmwsSUZVK2RkSzKBcrO5Y7tjuWnO53WLkszJjvY7t2Llsd253HC5GdyxnYzuZs7lzu chnyE2M7k2MuQysSxO4+4zeMnUXKzuMys3NxWsZWMrE2JsTYmwm05sSzNkl/H4L1/rcDr/W4ivge NU/z/FP87w4/y/Cj/K8AX67wkPwvEZfxeDk4/wClQ4/GfHTi8OvDTg8Hj4B+NZi8CtB+N8u2kR0e 5L02NxSlWTceYhSbC3I0dTHbHZJmKYqqNEOhG5DZB+N5STI3hmJBGsEEMh6RpFhaPSOqGRrGi6d9 I0/HVAz2GtNzcbsNj6oPzG/yZ+Y23iGQQRZjqJMSZizFGJgYuxFiNoRAtx12xRGkMhEaQQiCCENE aNEGO2I6iqYDrBBijExGhUMUQYoxRiYogg2FoiCCN9iCNYWkIxHxmJAkYmJCRCIGhj6IEiEYoxWm O+DMUVpWHVGKMTEVTAhDTEpboYmLMUYqqxsKjHUxkSMTExZgyJHUVUjFGKRsQQb6xrsiIN9dzYnW ESiSUtMidMiUSnpJkStPzJKjoh67vSJPYcMsMfT+JMSIP5JVaRjJVQbaY7xpsJm06Q2Q9PYajSeh Imo2JSN7yolEqWS9J0g2JZ8dPwTt8tJhTYlm4idJPY9z21nTYkkklCsSyRNjkky3bZJWxMmSZJJL LIY9UJHuJH49hSTJshWFLJJQ403JRJJ7n5b2UoyFZDxI2bsbs2nck+RubnwMicmTokSZSTYUEksk UktGWw7Ek7ZDckwSjcdmhM2NxPclEzoxbjmTIW2nubQbm6IcSSfElyTBYY9USV3Ub/ESrpCJSHYV tmJoezlmRDeiVpgb3mx+JZ7k1JYmpmqN53PchHsfItsJpJG5BAlJEEm58iGIUDjRe06v22Mq6StM T8VyGZbSQQyNPkbnuKTcl6JoiRwTLSqxvc+RuiWWsxsfSvZEHxRse2nuJEQO1Zyk+ZuMmXMiaGqm LI2sxZENkJrE9j87pKpse46s+WilG6NiaE1hyQiCHKXXiyqTGoGjcTMkTU2aShw5+REmzNjFsWwk z2NmQzKCSdvctkKR5PSSdFCMme5DIZA+hG5WTIbP/rG84NiqkQ2orohkVJglkNmKPgQJo2Ruz3F7 wlp+CKmEGy02IcYkQbEIXsvZyRYgca+xtGyUsi45QoHBkO2kIiFsexjtlArMTUPBkDFLHkz8exJZ 1bjZo+RLG0JSPSN4Q9zFsc6PoQoNhMiSJGlGKIqbGwsUM3Q3yCbSyRMrEikPCHvpFVp82fNEWYoI RBLG6nuRY3FI7mTG7shR7H5dWKjHKe5+VJ+UhomxKINiuLccY3YSbMbGLGoUoTsLGdpbSIqytE3j iN1lOwrDekWbhwogVajojESPx8kbMRZmQ30IUCPiJ1ZkbG5ul7k103HdoVrMXIx5ts2NiHNrVZ8b CmoyIaqz5G7T9/y7JG47WE5rjQghis0Z3QnvatIaEyD3IYoJRJlVkJChioYm+kH5kTkdjuQKCBpE KcUzDdqDJk5J1RCY6QOCd7WtYrmzFxEDS03sRbR46NpNurIXQhCgWEfFkonaT5aKx3URtlInU2M6 o2ZKMmQhJFKqpKHWRKzIsbn/AEN57ZiRr8UbtwzGxuLOSTIyHeCruxoVVDqJpatVJxO5vsSyzNjY SU9ts+KfxElrkjJH40bQrMZ20YEEoTqZbtiYxs9x1Wj6UI+B8ROqeVULkO6ijFYmpJkJj5BOzK1s NVQ7JC5BfIWGkqMh4vSWPITZnchm41u2id8jZits2pUNCqhrSTJiZkNsy5D5IbrYxqLjGrCTEtx6 fl2UZJ6QjIy1VLNpQOTafykxNos0xe1pMJMNvYktZ6O0jvZjkiB9KlG0fEmh8SBQWxsY1TRubGNS apZIfM4XISz87JOm8mVkTYljrWMbIbZkjKDJju5ViGQ2VqyKIhkIZDJ2lNI+DWDhbDr8vdiyhmxK Mh2FBaGOjRsS4bEJ0ZFjESlSorCbsjCT5TuSzH4uWQTC9muRx/IdTFEVEbnxHjo+mSTEgq0JyQic R2TT3P4lbDeRFSTJkyNpktDtvmOwqrHcxZG0ubOBWklImwqVIoq/luBsysZwLFmKPy8mSxPfcbLu yO4Vvu7pn8hRZzBlR6Ru1Y3YmkP5KBImDKSYHdGaiam4mSxORNm42izbG4PjGFkPGfiW5IN2ogyL ttNOJZZtDH0QiuKG7ITMqy7SJjXxXtSjZ28WrfH2UipIq1RZosk0pMEQhtIzsKzJY60MRJEIZvU2 Mkdy0VdrHbTWLROyUiHKFI65CTh1vKTQns7M+UfFD3IhJSRRs2FeEjGq0mRJMt7jqKtiNHdHuKY3 myxdaO1bZz82lIivI6nxsXrdV7VTCytDZ8s3lCtFc7Mba6VpuKjMFGNDGrSpWMGk3eV3Crsk22Wo V2JbNxWyeNWvkXTRO2GRXhs1TjVS7qz3FY/+vm2vd4MhEVIITHa0VM0m65EOrSWP53FJJkSJuZht pmwkjGF2mRA0tPie5G2DYm05ErMbvEUYsZycwQiBYsbZXKorbQixEj2JLZmfIWveFy2QrMtKIQuO DFw4Q+hDbZXJGTFkQrjsqJWcWfIhPkRV3GpNjIV0TYytCSamg7JpcdrCrB3ITsomSYE5shNsbxtn BZs3ZRcuL2PYcCTJrLqN4rJmVLWiCJEkiLmO00PcdFEHbcYupm0YVMeREDxxwdhlnJ+DuOMk6t1Y miILIrRsjF12d+blY73sKljaGmYtn5VbwxQQz+K9xJjZs1aOlMUokdkQhS3WtW4R7GCIcvNGTI41 ZODadxU3rSjISO4K0i2e7cJkVRTtMfbofNJ8VpVKoXHxxxquT3MpITLrEq3Pbq6wPjtYVWKtk3u1 U+CSuiWNMt/N1MYNyGPY2beaMkO4sork7X4nUlMdLjbsYyOiyVJa43S2+WLnFRRombfKb/yq0nkp l5ZwXvWYGsRobbPjK93dMy6UKISkdVUUk8aHaCvJu7ncFy1azku7oTLbJWPz3ClWl3HL5JHaplUy qOuRarSrds3RKhzB+Ekh5IysibMndrfbWWhctx3ZDFsWSbxsKsG5X4kQOrrX4EUmJIZetIexlvw3 VG+SHfkcqu/GqVrbkTG/jE1eEJwW5JeW7vDxo3G6vAnV1xVivFKwwVf+l7fyfsXrDvfGt+R0Fyy5 dhzPTVSfOVaVxWUKGsasyhVkxsUrVF68aKyy3xMhciE5EnZVraqSaf8AziRK0N4pWyFWDKErVJRJ kMrV2HLHVTTt4XtSIRfZJoq97NzVNjKOopmyh0cJclJmjGpIsZXqR3FfivUiybSas8V/yn4wu0WX K327mbTte1184hJRepPxdXU7gmpiqENCaRuk6Kiz34+Pna5OPlSi0Ld8nZSvlidqUqJmMj49rKOm UUs0/wCZdvLJp51qoqxpla2sKkifHV2vYs70bSle9XVFbqc91yck96zKUqlVbPsIarPxLXqO/FlC MrWbV0m2Judj448UUJtlZ1ZlxHbVaO6i1aCr8dpiybUj4+Nj4tqxwjtS6rx2Y7JtYoSyMrVFuK9k WdruDYTR3PlN6p4CcOk2OFWqWtVv/oY/Jod0cePctWlbPjsjkva1cqiVRbKHWt6WhWVXelru9bSn J3MGuazObkVxO1SpbfpRVw8nOaZs2qbfFrNGciwomlYaaqnQs6CiU0qK7HNknCqUvZD5OQ70p7md hNluSsfHGqTSojdGSZd2bulUz2q1GIrVHWtRsTTO7iTSr7nGz4sslWuLqNzVYpL2tVEOrljaaygV 4MVZ0Ti1mmr7Liu1k6urqxsls48ZurC/k/iLcdkyqHd3PjNbOpZKE4ScDrxR2j4nHbjTvzXZihxN MMlfe2VhRLafTJMlcqjshvJey/Ke7sVu1Z3l5OO5aMYPYd2S2boyFfZuRGLlSyGbj2K2RMOZUmzN yw2JlL7vlrZGRsmrImsbSxWc5Nud03Kup7jMoPiy0Iy2JYrbO1qmWTztDJmmRW+Rm5VmqymZNl/b KjPaubmzVXWw7WZ3JMmZoysbDgVoMzOzWMkMlmTl9TsydkTo3L9hsiSBJEmRsSjYlMWxktN0ZMyc SSZGRLM9+6x2TMmPcyJJnSY0kk2JIRmOyjIyYnu7GTQrslEkwKw7KcjZmxJLG4MkSjITMiSYMiYF fbeVZmW5JKZJ7iJM2SiSWb+jPVPpTpOkkkk6zpJPTPROs9M6yST0SSSSTpOskkk9M6z/AOs//9oA CAECAgY/Ae/h/CO1r5S2x1EyZsShRO3NJAyWM3KxaxwIXQhSFOOgxW4zKO+Uzdnc0f/aAAgBAwIG PwHcfva2UvsdVcmfAe5UquLNkoSmM6sSSST1PcR0r6n6+Op+k1JQlNbJuO6Hlk8RZT6kHOpVypAs nXczf//aAAgBAQEGPwH/ALgcRiSSCaYcOzHZb7mdfuemPtQbPszXF07lEH7Ddy32Ph9hjCfsjdl3 7Pjjw7NX7Drg1uRJHeR9wMv2rhjA11SMI7me0+pw+6o+2t2H7iMK9huzP22Pvl1I+wv9mme8fFu5 n7O2E07mneR2aORUn7un7Or4R2oGXtPhQ0wbLtR/0IqYNkV72R88PH7qn7hjud2fct9xR92RjH2n gQn2+Pu58+/fsN/0W32Nxv8A4v6f9Opum0jPIe2MJ7psaOgnUVHY3WQi1J+/qYU7yo1wyzdqKo1v MptuSe5hJKMRRR/Q/wCW1F0FVLmTJD2q6DdRN1y+ngUfipCwe7kNttiOtT2JGgm7P7uqVK/ZYw9s C25LUb4DtBNSMHS1ZOUa1BkSdcGRGwapQh3KGhGG66o6RdoSsHtWCbiJ8BV29zTCv3DTtVKle7kd BHpqOiOh7aYwMqTqNdnRcGSbdCRV17iuDoMxJXCKnNi+FB8sJVjX7kp25xr3MpBCMg9UOVkQb4EH NBFyKhFyHN5HuSR0bboPaqJwEf2+B7ldu55io2OtuQ6IyGi6kqirhtRPcblQpjHagmvcx9n3LT7B BPZjDhg7OUKY8qDJa5w0Jpp3iQxJCjKpuS9XQZVGeEzK9vh3S7UdElfsFcJ7Oq6DWM2bj2U07mM8 yO4dys6HN2KGnYbtx2q9yvEbB1nGg7FCncTFoyQPZ7bs0GUr2Kle+muam6OF3yFSU4kyqSQjXJXt zHqO891Q9qNxJV+xVhsK9iMZIwnuH77wIjtbrotyQ0FfwNNBf6kopMY0791Vk01NroifxDEXMluZ XxZfge1JWOLkLLM/8hkZLkPDGYQzREKSUfua9xr2aJhV8K91JXupTsSQvYhH45D3JuXLRCg9zW2p r6Do2pDEs6HvtN1nuRaajLVO+99yWJqp7brbkRaIrq/kJferPrlmf5LFSrugqb0deMEXpOWaNkf5 Ee5HyRFynwL0XqbVtWEeFVMkLvf7vJlQ3W327aqlyoht6Vz3JzJkXfXVltVrc6o7sRfdc9PasC/r h7T/AIbbbpdUX1E2/qp9or9wPbcqcMiy/pr9RVdGuSHTQvTo9e+5pVEVLfgKnXtW7prdzXys+HgJ by20Vdoq/UsmvtFS3qW+3US1b7NqrJsTqXSsIvGI8RLJ3UbM+ok2T7soqblT2s78BHVbenn1ckXL cLtutu2qyspdtVEWxdtyKdSzciXdNc83F6W5EuttS74qxZ0nTd1HVP8A1FRVR0molsOqbknIZLrX mH0ViWRPERemlvUW6qOzZjr+zTrW7ttXLup0ugnRX/Gl9it/7M3qW2q6qlVVaj7dvDDP4lV+OPUv u/RduaJbxOrb0vp2/T6n00t2+GniXWr0+l+4uT9exZ4C7rE6G5HX2+1F0daC2JeqNBci3LLMVUr2 asc3oc/ocxkSrHP6HP6HP6EK57r2XRjmg/yL8E/Mi4m5X8DnX4E33/BDmv8AQV7uovwOe/0J+p8U Ju6ifArf6H6/Qhb/AEK3+hCr6HtuUrORVCqFUKoVQqVKnMhUqcyHOnwOb0Ob0Ob0Ob/ac3+05v8A ac3+05/9o+//AGlvR6dlvURLrlsvpk6oInR6FjXIyJxzucZehanDaqk2ptWrWq5yKvEuu+mqIvA2 dPpLdclf5i9a/pdNbLNj7L3WFehY/wC0W26+/wBm65kdqOL+1u/a71v3r7b35vA+gn7VV227Oank XJb+2Rbna50VaZC/Q6PsuV09seTlzWpbvV1faXXolr38zKmR9b6KX3MltEVGRXodLq9X9lYi9Pci Jsa33asLu/Y9C1L0S3P0N/8A+DpN07diyviW9RP2XRVFRVT3/wBS7hv/AMHR8fqFltvQs6TXJat9 l7vDKn5i3ft7LU6SWrZa3Ctx01v3e/2WKiNbc3uY3InsStzQPvRlpA9l6XcbUcVN6RWKD/VsbU/z WDXdRE4MX/t7P2/1Vv3JbcqLKRNpft6aWXdW57m/S0v6FvStTbai7rkSq/07l8C+1Oiq9K7mvzZJ YdH26jvHgPvQr2czM/UUU5VKKUOOEIUHVGwb1KnOhzocyHMhzORf5KcyHMVchVKkKQaIM+EIq+ZR fic3qc6nM5ztoc5znMpzKcynMpzepzepzepzHMcx/kQvvsWy+zNJ3NrAvRfov1lVuou72Nb8zfb1 ejRreku5bkTd8xN/7i3dmzt6l+7rpb/yXazxoLbd1Fsu+peu1bVoqwtD/L6KfuF3Klty27bmhYyL rLrlZf6UdT9vcj3beo9yolEaolyLduZU5YbxP3K+61LltW25Uhfa0F301WZu/wDJpqdK1VW1Wm1a oVOY5i6269LUVKqJ9S5Lbk2r0+N2h+9TqqlvT33zSdsHRWOS03Ki3J/Ym5fgW9Dq2dTo/s0vvW/9 xaj3Ki0sRqPmJZ1b/p/tXuub6d0w1qKuin7P29JETquzrCNdzRCF3T63UtS279xelycFVBbLL0uT o/UReCOrCfW6idO+zqKq2q7n7nf1rbd/TtZ9WV0Ogm9F2/uL1uTS2JOmq9Szcls25vvf8BuhenVS /pIlq20W5Fdi1b/3CWXW2rbtVFz4nWt6b7+pDqnth0V/Fyyy3rWbtu7qPXctXc6tn17LuZXt/uR2 Otbu973NaiaodHpr1egibLbVRUv3JlOTnXte1dnVVH8xE3WrttqkJ6nmvYqVxZpKMaphQl3P5kMf MkpJFMJRJKIfMlUIZSGbDQqviVx5l8BnucqvqO6p5j7rvic1xFy+JL3GhUqQStx+pSijIi/Ep6mm DuvhjA/yOaMIdSEu+BO74FfQ5nOY5jmOY5jmOY5ipUlcNt1lu2u3J9WEs2ItiUTJDlRHF/47UThB /jR1h5f8RvpW6w/5n+G19Z/MRfoWRwPb0enHAnp2F/SvbZfCsnqgqL1Fa6z6d0W8vi1S2y3rLtsR ki144sJbZ1FVLXVNyW5zoXJ0br7d929YRZXiqDb7l8bLfyFWzqX+5XVIZ/BjcvUVV8ivYqU9CvkP kfI0JxY0Jocpw9cJKxqapguRMkGqkmhn2tSUKt2Zjuax9wcMGx/AnCvcQM8D7ZKMa8CCjsSjIVx/ NCK40PmOpJJrguNMGpjQoUY+ZV/H7VQ0Ne1JXsT2XdU4YVx4Yak9xpxM3NB3cm0o5IsYSfywnCYP wOJ8sOGEo447Ep2aQammNCncZdjXtucDXtR3EwRTuaSVJKYOtR+41GhOxXsalZKlShLfiQUkpQyw qq4RGMuaE9mMaklBsch+xXsU7Fcfb2pIxoUjsaYTh+RmRJJXDQ0wbuqIcMeVU4vjwwzwqeBSSngV g/MhZKGh/I5jUhsJ9Chp2KwccioxSCLcZEJwjDXGnnhqpONMdMKYt2OGFDQgYdkJRjQggk1HglD5 YyncwVJVyKDUOVyjEDOM5qVYyK+RLcCnmUcoUKYJM+AzYyQURR2KYQpQqiHNJmpkSpClScaFMGpj XGUw8SMKnAp2KlcZnCpJEkY/IYp2GfDUnCvdQVKsamoy0IYloMmKGhVENRn8kKlZKlSqntoe5T+e FDVSieRIuDo2DEJhJJCNhzYMUJ8zXB64aFZxd8YPzIYrhOMdmrD1xkgp8ByrnHCsZFXOI9PDCCe5 qVQ+eErhqhKQZElfUzIQfaaYQinL6koR6lSRJNVJgqNuGJGRjgQmFFJgcoUYqRK6klDQ1Q0GJNcK EoO8Cdig7Dqe2TIjChmVIU1UoThqQjdmpl+GDJbOpQ+RxHJV+4hCgxqafgO5wMySIKHywpOGqjpc SrjIUYZnGaSMVdFJRj2oQkk0UhKZD7TlniMxOHEqZnHF0XGV7M0KRhQzYYgk8Cccl8T3IxB/IdV8 sKSccJIYyGtQcdHOBXGg2ZoOxMKfPu2yKOUOUdhqEjqj+JQjyGWR8qk2uN6DNJl5D54cD+ZWRMNC sEwhVx0JGqi4QOMRhrgyYRXCUc0PEZUZSpNcI+BTB8XcmosEw+FSJx/Ad3KYRjDjaEqxEoTng5GG vA/pw1KEdqlcPyKEFcHouZPxKOSsaFIIt8x19DORzU4CqM5+BWT8EIYlTxGNMPw7FJGwqRc5WOxJ qLB+ZXyIkoRjnijJ8SUwocdR6k1Gd0w4YRg7phA+Gc5EvjPmUUiiYZoQcSShBx7bqj6DIjKNmORJ 7h7UPEojlCg7Nh8iZKDInjBSDhhFOBRSUKsRc434Ewa+BCMS6qPkcCkDZYQJQiFzwqxUhHJRTgNl jFxVyiEptXgVrmcxR+JMFSTTiTJI2XDChOLNhpaeA9OHZRlwZUbiZ4ucOBJCEQNXt8CpKvxGRZOU R0g5U+BovAdluKRkZDqVUohRisFIJHRHEio9TiaDwTQiCE8ySINDhhKGosMqHuGQgqVKHyOOGq4c dR8lPbQkjDLFqthUdfjhr4Gh+Qtt/kuNPNSZNRiCDiMieA9F1K4cR28xtRkGzJwj/U04kqhma901 T+GFqngRaqoO05FYwqUoOqOVQqUw4GakntqPXjmSngUjiUkanEqMUK1wZE3KpXxGS13zUr5CnyJU Q1TQZWRMpJKDUQqMV8CYERMFmfE+RypxIQg8MEzHSCvjhLuMiSZIpNdTMgcipQmhwyJPa6+IkUIo TmTa6ajN4mhFRUXM1HQTda/Ei0oU7UlCMycGVxkGWeIy3UKsg7kI3Eq4zjkJJXxw5So7GRCwcVG9 SVngPuc1NFKYS5mVOV0TMXXQiFzHefAluA1TQ1HuQ+YjKhNShQ9yJJNcIQehK4cdRmfiOxKYVKta LtlNRFWl1CjDQxA5Hri3oe5IXM3dN1NFJ8sOJMm5G8xLlbRGHdX9B0SPie3KoywuhL4amva44fkN 6maqMyeJ7TL4lEQhuJPkM0GhQ/I5U/8ALM3KspqIzIo0eZ7lfTCfLUVmTiPddCL5EEJ8RnRCFKsI qoS6kq5wHRB3nQbJKkZFB0WMyFHWqHAnDQhT5nAj4E+WFVUqxEjQq5sVPd5GbkFSCVhCFIyJRWTM d/48Dh8CaZEyUkkiTmdaT+QzMmpPloa+BCHyKyNmMjoTCHt+LmU5EJGqDU4iOvCRWyKdt8yXfgUV dXNEM24EQ5HlkU864S/BzMYmCPghkn4n/wBlJUq5DvxIniT5oMixhCFUbQa2D+4XNRrqjJnUn4mp C+Q1yPhC+JRk1FtSmSiMrrwJOAiUXBlVkNVzNHEmcz3M5SnkPg63MZ/EVCU2v5EKjcClcxGhf1CX aUHZuBy1obcJXyITzGhDasIcSF8WN34j0PdKaELHqNciIuo6Rg9tDRsxnOC0UpBX3EDqjaDojuOl cjXU17UYVJUqiif26DqjrxH/AAGV1fU5XVc8JQnzKfGShxIaR1+BJkpRUF9CEkWJJe3yM1JtcbWi pU9svRXHvU+Y9txRE8Sg0qMw9E1OBu3e0dPcqDrHng+R8x1GIZhlRZzIpqptX3Nkn5kRxJVyE9ZJ Z8GXyOWgxDj23PdoNfbPCo+5VTQoPkhQRVpomHM3iKi/A4ZMrippkSiqSvgRC8SkJmoq18B2aCu1 ckyFZaZiKtqK+R7bdrpTM44aEZVOZCpRDj2qspUpXQZURs81KSVfwEwhaUPdVcxRGSNT3Or8CEkq 4kjWWPtFW6dEHVERD8hyh7UbVSF3bc6Dr7jiaItSsjIRXBkjCom9myVBdVzGquDM58kFZPMZozco i8DRsKlRm88FRWIh9RxFW3zUew01NUzNOOD04iq7/wAZFr3Ij0T9Qtlqx+JK+3NpFVHRP0qoq5JU dvPIdFgmvoh8xFTL9Q6oslUbQ9ktoVdhrV+PyHutlCu0VU/hBqDKrWpVR0VLktzQ3JTMb2zQmFyG /wByU8xIRX0E/pP6iKa9r5DImRFR4b1HqmpCovggr+SlHG2pbce9EURbWRdap8BlScnUnIfI25KU 8yrW/wBvzU3O+hvnjEeorL57YMl8htsa5iMk5/mNVxts6kpIqqsrRKjp/PDUrtJZtcxJ8j+HFSzK qKOqqj5CpbNyZG5UW00cb1JVuGpCj0HuujgR5KZuKrJcSqz+Jxzf5ELwYqvmOiuOirGX5EXUyJXx Pdl8SlMiGEXaiopCbVyU3JcivopPkR7bkrAkz+ItuRs53ySVHSNsOaq5MvoM0Cp/IdE8OJ7M+YcS HQV09l36TTiJsWcz/kTdatFQd9lnCpD7M9BVuzpbwEZEtu4QSrovxKKlqi7k8FKuwu5aURPzHoni R2nfwY3On8eAkPatWg27UUW1EnTMqtjVf+QjSg7vwGuluJCPkiEo3BZIR+AqqM6GptVGQVfJHISl eIu6HojkOQ85/wCp71dcpIPmqnMy6jL711HSxEzdJUS1lmg1tyPaeNVK+Zx1JVVXwPazrqKt9y3+ FBWhDbc93HQi5FRf05iJt2NVUUdfai51IVUSrGSxQ0IbjoNupk5Pt0HvlMj/AI3tfm18irWjQrfq QlPie1fCTTUjzNvTZc5HWeJqQ6J8R1Uii1VRGuhZjIiuqkfFTalT2oqXJVYN1y7luVqr+BPsszaT NEXP/QdKJmqnERlbgbk9yqs5C3eiqJCKjSR7eA1z6uNaOl/u/pVR1ZXyckt2KirwPdXUrtY3WXLG tB1bi4jLaqp/SjFJU+S9vj4Obt3wRj3KycB1NyXwmQ40KaZQPb7hInJDTwJRRG5j3EI1upEocfEa 73W6aEIL+l+BVG4oS3Fx2TgUc0TRRERkRMkT5lJyGd28jlQa2CWIUSWerjVchNuo6Kip/TmN8UN3 pqUG5l0Q2RAisyi7rk8iLnQR0X+0dYRVPCifM3Xe2zM3M1vyEeNyRcZQNmMiSTCHtdhN0ue1CJXO 3QVVRh1QZ/Id2XNDiLV1NvMlV/1KtupB8jmVfFKG94Sj1H2+B+KntdFzbM2rXioy00yHRxYfxFTY yrmMls6nEZRFZ70pxNrInhUfNKiMiLwF3K2kG1EpCqv4lW0Qnt8B0Zhua1KOfPB1VXwoif2oZKmi jorDDbXcjPL+Y0KPUlBoYqgzlVKjoyoe21E8yVHVSpNOI9qOSpSdRlRl1JhdUJ+I9pLqf02jJaVJ QhGKHuzPb8RCMs8KwOioqHuVfAXau7+1cP1CNnA0kQJmNkoyMvElrTa724ZMg6I6JUk4GvAojW0F R/booj1NVyFUgTNCrcD+piVOAjIcCZNCFdiIepX0Hetcjw7qKnyNOxqQT3MkLh44xjVuzQbuKkY/ IpOEzhBPY0xnsSZ9lsiMIGH7FcZ/7j//2gAIAQIDAT8Q9KlSpXpcuX6VKiwblSpUqVKlSpUqVKlS pUWU/wAEi/0C5fqxZilzTqEWR7zLDDNr9FdQmtzi5lnJKlSpUcQzKlSpUqVKlSjHor9d9Zb6F/QB BD0Y+hQTKEuN3DugMCVEJeKhluFPpfouV/iNr6DCSoJl+4EjU5gxlQXoB6voYjKqVctGAxVmKypx FdtzLExDRCX6DL/wtxhMQmo+mAeYGI249dUJrqUCalSvRi9T6YmIFwRqF5giUYYF0+nMWXKx4GIR bzL1/UyvRRCVK9KIoSy451NwJzNpXqksy8VGUjBjzGoUVwRFT6LqCNS6CymVZVSqCy5f+Fa9Fo+h cTKWEV6P6X9ALQQQYncyYiRphqMKuIbzM9SxLeioHMSywvdL9bl+q1LZj0YyYiO5Qfpf0vohlPQE /QkD0v0tYqlD6VKhDcFVyw9L9b9GVA9UIfqf81/ofSv12TCXLly5cuXLl+h+m/8ADf6bly5frcv1 v0uX+m/8Vy5cuXB9L9WK+ly5SWS/S5cuXLly/W5cv9N+ty5cuXLl+l/qv9LHMFwLz+niXFeMyxpE 9Fy/S5cP03Lly/0XL/8AhYsBWIHdqD8Iocy4g21K9mJlwRxoNwy2SLgQBvPzMxb4agrrieWCafS5 frcuDLly/wDFcv0v1uX6MwiPMciEFOSXW3EUU0ncXZpXiINlQ9oELhXOZjqGZtjTKDqCMJLPFR4C HaF8/qI3Ll+lwfRfW4B0j6Zme5T3LrcvHovG0w3MRJUogTmX2DEtwV6FeqDqBWolxbuVa4SnqfHo JzMQqILcQGjg4m+blSpUr9X9pEVjBcb6l+hYbeo1bWcRjHwnkSj0eyHhNcS/E+IHpUqBG+D0qVKm fUu9YlQvLno3Gdv16Ni5IRaH0r9FRAt0StRgl9pZ3LFjCQjLCSGTEyb2xziMUlks7lkxLgSU8x83 1Pe+pTp+pXp+pXp+oDzLJZ3LO5TuU7nklO5faX2l9pZ3L5AqVZih2QSsOeIkaFq0rlOvxMbPjJwi UP5EJzwfBPZCzXLxEmmUiFxPBA6MqBvI1O0izo3Czj9NEo/RUr0WldpaW8T2JbxPITyEt4luyeQn mJbsluyI7YFzACPUpV4blu+vxLGb5uCKzqU9xGtxbed4/iA1VxVryJaqvhPsqdjxUaAvUCwv8RuP 2QomTBwQpzxUDOPR9Lly5cuXLly5cuXLly5cuXLly5cuXLly5cuXLly5cuX+m/Sk4jFiy5cuXLly 5cuXLly5cuX/AIq/VXrUr1pmZmHo4j/9B9X/ABX6V+ioejiPof0Prj9Vy/S/03L/AMd/qxMS4eji PoYfozLl+l/qf0XLZj1uX6Hpn1s9cS/1Ho4j+ono1CV+io3+hlxfSupmV6Y/Rn0z6Yh6MP0VDz6O IwSv0Mubldet/puWyn1qVKlw/XmZ5jMy5fop6e/oejiPqub9alP6FISpn0xE6mZf67lyz0fEzL9L 9P3l+lQJT6Ho4jGMZZL9L9K9Myj0WHcwai8S/S4ej6EH1ucQQlzHpzLlZh49CDL9KhqcR9C4hMRl 8zz68+mZfqzEUuoM16a9H0rpnzG4TTUBu4izUv0SXHxM8Qbx6D6EU4jBKZRKiQIEcSvQjxAZX6A9 FEC5TG/TPpWKJVRJxKuUcSvMfKB6I1KYRTA5g5LhrMTxAgnEYn+MALeq+kfqIYPD/wCLAdXs9Q/y MemJj9GP8WPXExMemJiY9Mf4f//aAAgBAwMBPxD/AOu5frUqVKlSpXrUr/AWjSEPov0v1uXFly5c uXLly5cuXLly4QIEqVKler6Er/AMu4R9DCVGXB9V/Tfpj9V+q5cuXGkfQz+i/S/1EuEuURKjmMF4 0ly4/wCcZcv1WLhLly5cuX6X+s9MzMZZERtOuIn6aZZzAMZSv8Fy5cuXLlwuEPRfpcv9QQMPRggS Uvo0lXXoQgIkYMS4LjT/ACVK9A9GpcuXLg+jH1GB6KRRegwZpLlxemEpLJcuLxKJR/gMyiZ9BgxE X9J6Mf0FJf0sX6XLj6swwIly6ly5cvMUaSJT+slxZfpcv9R6Mf8AOMWWl+t+h6Cv9R636XL9b/Qe jH/8w9GVExXqr/8AHIeoPNRIx9axLQ7ysuxlf/ZUqVKlMCH6DcVcRD7y06QfBcCwUwfLDLLFaoMB WLx1KlA3zmIpTc8MQ4/RUpiv8detfpJcuD6kFORFSuky0ZgGckBdW+YK0x94pH0z3HEvVdTMiHTE G5RlY9Ipx+uv8aJsT39MT4lnUF6lehUKzPUzLly0UldMtily5cWXLg1LIkrzK8ypTKZURURSxlNy uH0r9dSvs66htJFecncT0XLR3EBROfWoS30XF9K8z5jH/DXpUo9NaY7dQjR9+ha4Y5Q9a/Qio2ze yYEqAKSNYaM5loJhzKoox6efSzuU7lO5TuV7leyI7JTslnT7mOz7mP8ApGj+yWdn3EdzzSspPNKd ykrKSkpKdywFAiB0iBsERHDBuWGbVexO4n0hqg5XSNjABz9MJxSX5n/lpQLS6sf5IVUaeb/3UD2k 85Mu4IteDMRMV8pyGE8zmMWXLlx/Rn0t8zPczMynuUymZmZmZlPcp9ep3+YGes3jEURLc1+Jq/JW 4cPf8xsV4D6ja8VfUsgg31Ctdl783LLuuYEaBuHItjvpX+YuVT/6f3AVpkjvqNSjzz3OdPF3F22U c+JiAcMKOL59GPrf67ly5cZfpcuXL9b9L9L/AMZfpfqPqfQsuXL9b/XX+CpX6K/RX679K9Kh6n/I f/oPXH6T1PoZcv0JUv0olelf/Of4D1MX6a/Xfv8A5MzMz+jExKlf4j1P61y/WpXpf6MSvP6aleZU p9LlSpX+Q9T6K9LJZ636Yly39GZXn9T/AIB/w3+g9T6NS2VK/TZ+m4+mJX6MemPW5dy5UqV/gqV6 HqfVTMzMqVKleivUPSpXrn1r0u/016Z/wV6X6EPR9Fel+lef0Zlsv0xH1Iy5cv8AwVmLB/V7ypVe jKhD0YkT0VKmfQPRXoqZiSvSpUqV4/QKityk49alTMqETMqVKieoSpUqHoxJUr9YFf5wACv8IBX6 gV6KlSoH/wCj/9oACAEBAwE/EP0PouXLly5frUqVKlSvS5cuXLlwtFRaly5ZLly5cuXLly5cuXLl y5cuXLly/RcuXLly4Sv84mBUqVK/SCSpX6yVAitkQ2Ud/r9JBBcEISoBP0CUca9KIWjA8cywgzDE y9Z/+v8A/wD/APlmokZfVez9DI9k9kf0vX6NUwD6BeoyyxUr9RDMILwWl+BBgDK0+IUZPxHujpli hbEsU/dB4HvNQvQguuSU+8D4bl9fTK0Mu2ZeIJi4lkTiXajW4HoZQqbiILqAGZS+JYC0x2rRz6yO J7o/ohUm/wD8X/8AcnByOj0GCeCHoPoP5Q9Yw+mzWc5BiIOLzBHmI36zDlGVjDCR/SoNfM5EqF4c SiYzGrG47LG7gCjuxmamB/EQHMYQbL6iGwMVMEtVE2X9Q4AwwJiJLe4u/MyIziMsEw1yRVaQGp9T IBS+Nxx+0xJCINGLiLbeYgAfPovMGXLZcpDPMILZe4R0al1iXLlvRdei4MtLn4S/RfovMpL0zCBR AadsrhID3ZSU1KSkDKVEIhELuIJg3GDlFZ14iCcsStfeoE443HvfoVB1zEQD39DyZioqBxqXf6TE s4JjKbPcYyZimHMc1QeWYcB4LlGiC4AYOag2hVplUt7gKa8yzVe6UmvE2Auco4hfDTKJcGHdvUuc ZTEKZ3CMMmbj54fuHaHKV8cmG4gWjNu5dMRoagNY+ZT9QHbMy1gpy/MpPbiL+Op0M+Z4veL6n+1O Jn6mZTzxMzM5zuZr5muZniD9wczmH7uYgP7gUO+YLkgeMQ/6gUliTH1MQCIJVzK3cRCt+yF88OoI Y1Hey/MsKJdASnSvJEQvmL6lkG1vcfOIH1uFDmx/EyzBhK9CVAziZMY95U0j2wys3GbcrG+VTKCi hz3AGwpDnMothW/MSAjFBX59Gh5lFnREDmO3GvEpYLf3iKoVUDJRXiWpjHmDbVV1LDHZozzEWl5F 9xQLtb+ILbNOpeBK5rrUcufmcCY5jcBLe5TuyAOPqYSsblQ+0DJ1PLG80xGV4lS0qVmVK4leiTSJ K5gN3/tx6K4/mFttTNd34lKfvCrfvCqyLfiH3hbfxKXccIYLc5TPMfp3HFtvsmE1bbACAFhBXcy/ 3U8JlmAYdQfiBJesSiAYFOZoEC5vLC/k4gZh6kIRysKLMMSCxK4zZMMfUTSixafHmBkMcw6jnUTd t6la7nXjuIWODZxUUglHERLqbTkV8kSsW78RsZxGkKz3HnseHzFveoELrMbDFss74ZdFGHmLJ+Hx BapI7EbblVmC/wCQZvniWgDe427ojZxK8yuOpT9zpuVKxmVmV/vM1/MqpymnZA3A743KxU58yssr iBZeCAtyh5n3YhY7lPlCtpqNcx73uMCCrcJoNwDu2Z24oUc/mKXvuZBNTMOKhh1HDxEuZngYr4i7 mFgaY8s2q4FXeY9ufb0Xg+ZiKQ8seW4vUGD6EIJ5ansiLsg3HHcMPncZru5kRfaVSOoAXi41WYhU IwNzJXs5lKhiEKrL9RINwLxC6yNzkrXEXtKtl1qLBzUyYZXKhBXuxNjTHpH2lQW1bKwsFwGu4LrG O4kutEaMLO5XUqVzKlRPuVKiXmVKzKw9yoA/Ep/yBnM2wC3xOgYlueCHI95mvRzDpzDeX2gDCD5/ MqssVm9RI3udzG8RWzjqIym9VmC9HEy4+IPlL3ZxFHJnuU3fxOG4Dlm7Wu4gYfNGwJnbRgocS6Wa 5i48Go8Ez3HHG4LzFD0PQOpwVDF/EKGoddy0xywBEWjiLe8QKQaYIRiq8yxjKFW8dSqyRqm8krGJ ToMcxlYhjMRKWHEQXTpMQEXcrP8AEGn9oq+fS2qvuCg6eY+NQPxAfZK7mtCnuBwfmYSr9+oJjp/E q1ujuESl26lK8ORxF6FnZHA1iMZlVxKy3K+5XUr+4H1E3516KbMSn2YET4IUOYUwRoZ1MzcUa+pY u9ThmpYxBkW5fiN+zuY9yedXKVnRxEdQQSrO42HLM2ISVWlnBCjmLO0PU78xU1t9NOojdQghuHqJ JQ+PR0cxFvEtdujmMfeVATzLG3UbbURXjmKv0uGfqJ7PMrLgn/0gTC6wRVlc4ueI1VenHT1Ndrzy TOFhyxUFJEm0EU7OY/hETW/MV4IX9y0WqgQurSikrG+5apnSDSpvDPTEXiOHd7hDJZwQrIp1GW8R XPzKiSokqVE8fErmU/EqchCj+oqDUXHmWxq4Ce0J95nj009zifOpn7m2ZhbX3O8t5JUY3DGzmXPH MMdLLFeYg3x/EVxq5vnMdFcTB3BBfcu83F6lvUHoRj2hLnER5GAM39TUb8xP/JUeYNvXmBfERqv+ wQ95kZgiV1KzdYlDcomJiax3FcxWoq7m4O1m7jtFq4gQTzPJFSn6nCLeZRw2bGVK+5nhjTPEAtbh gGYIA3+8NKXyuMtXmMUeTANfMAzqAa70kOjvnqWf3PHmBsxFtfaFuN9ylxmP5lTFSqlPEpldfcDO Ikzx71F7lM/2p45gJKucfzK7z3N8elfj0zcC9ZYlsiODUIIY/iMfzAcO+4MYM9wIvIJSwXMPVSy8 vE3xEx7RN4z5lZ/MW5b7QX7Q9B6XLS1blnF1B25l8RzbC9ujiIinzcdq5x/UL3cw3mbESA7zUIL1 5hYSjf5StJBT2jomK5i0W+bgpRzqcN5irCcLCUEUF+gA3on2cxQpjUo0VRtmdcAZJYa52S+aY7jP v3HilwB1hicMLMuIVPEzC+YQ/EBxWJrHxOzhOIkqViVKleZWZXUqV1K73zK+Zp7elQCfEriU7+/S r94SXsgIEzALvEEwY1YwG++ZR7TBYckLXYKZ/wBI8w3EKYO4jjUt+ZmszzdvoX8+oeqxZeZfc6ix 7xd766l1C3fMoVmXHUxftEYzCKfcAG5UeI+YLzB2M/iDPAd1OVRhqooeXEzu4LnmEb11GjjBMtPe VadQjVBB5mC4gjGrG5ddfECpw9RAwcOn0AYuNPgjhsxFGtG4Fxqf+ppbLQELrv2TQsa3xNtjuJiJ dcwJX/JUr4gSpXLKlSsTUqVK44gLrUw/tNfHMw3OEjfKUhUxD25WM95VK3DtABL1xGHCLW/uLe8x lSvxKzmV6F36h6sT0ruVggYgyLBwYmXiJjqc3cPwneFdM1rueaiIF3iUGJYuC2dHnUvjmFdfEC2p TJAIjjhPaXllW6iCyusSuoAZioSqKvW4EW8Qru8cEc8bNTIzzuFrMMtwmPzFS01uWEo57je6JlZI OBtj07mseYzoz1KiQN4lfcrE2VA/8ifOpSPmVdYzKlSr9on13KhBg+hLf2jlAedSpUtZ1AHcHH7w 3Nyw1N5nMSV/vMrvNyutSvzK/wCyjUrX4h6D1fSs+gKgS3H7TK+YqcxTBolOGAbixV7jNlylhxLt OIhpi23Mct9SlzFf9hBWUVW4tVcBV9RU5xG7zK41KlPEphf+4zxNzJRCHiPdmjMtHrxBpnjUFuKk IIUMQW4uZecc8TYSZj8wRK3iE6YeYg24iSsypUSVx9SqlZ9KlSvqV8yocfiGzPvELxKHtMS5W7iG pU+CLqu47jEiERpvFR3K79E4vE9vRJXJCEP0VKnfmH+361AxArHorBbsgH9yyKsvgl2/Ms94EAuX UTiV/wA9OJb/AHC7qJK6+5VyoRpn0Q8ryS15lNpQvPmZqJWZVypU7uHn0TEMMU3qDS21mZKE9zT4 lf8AkqVjEq5Xx5iH/JUT4nPtKqYlSrgfMKxcxSV1zKgSr39Svp9Klc+lVKiE9pUSVzK/MfPoQh+q vqVmJAxK9NMrqVAqV8SliSuJW+oajmVKUlfcqVKlStkr/krc6EqKMSft3LTyiKeJm5XpX3KlcSuJ WfEqV1qF3/MzDnELfhKMEqc+hPxK+pt+0Ir+5XEQ9a6+Z+JWMGpUSdfvKlYiNRJUqvmVM6lfMqVW pXe5UqV8SjjmWlSoQ/RUp3K6lczErHcqBzK1OfBKvMqJVXqVmUXOZRKuVE59HtuBEEsQO8xLlfUq eyVzP5iU4+JUSpxCVK7lSsypV6iGZUzWqlQD69DhFuJKlHtN3jT6VKv+o4o5lcSu5WJUqUXMypUo lT2lSonmJ9SuZXMSJm+5UT4JUruV7ypWJXUq5UIforMAlf6QJXepXMqVmV19ys+JXG/SiYlQJUrc qJKx/HpVTrmo1fvuVqV9xJUq5U/9SvmASn5JVyipUqVKjFSvr0UVUplZiblfcTmV8SpUSVKM1K64 9KiSuJXEauVKz+8rmVK+pX5jFSsvMqJKmB+0r/sogYlUSkqVH/SBK6IHxA/SQIEDuASon5lfiV1A 4lO5UqVK+pUqVxCK1+ZUD8SoErNsqV+IUljvUCIlf8iStcSiUR/PcxKlZlSu5RUrrmUSpRuVO5XW 4neZUrEqVxKYAaldzESAelcypUqVKiYlTwgVCYD+IlYh+Ykrm4kr6lcxMSv2iYM+01NH7SmVifiV 6H6AMFijRAc4qIVKlczcp+IEqV18yvqBjzCAh3UqVKPxKlSpUqU1Ale3tKx6fhK/MrMplP6lfn0F SpXUxK6gSvqJ6BK/5KleJUSViV9+lSpUqvmUSnMqvaUypWepValSonzK9KlVKiZjGVK/9jK4lYlS v/JRKZWMSs+jv9B6GNTyQVLmONsoff0FwCA8wS4S4NeEjTEolSsQJXUSWZXMCjMp5+ZXn0rrcqVj E/ibTRmUXXct3mVzKlPM/wBr0fEr/wAlc8sqVzK5/Mr8SvRXpUp+vSuuZX/IhK/9lb8yv+QC84ic 1iflHpK+pY6qV9Su5XcqVKlTiV9yole3ETqJ16JjMq3uVKlfMqBmVKlGXqJ+Y/ptGsWjicgk3ZAb eJRnU6oZlFzSGJRqDTOpSeo02wBMZlSs+OpRi9Q+UBLMqVPtKTZmGHtMsfcDiV/ybSriRlTS5Uqf vKz0RMyoF4ZUqV9+iYlEqVKx1O/RJxqATySvRXB6K9MpVZncqVAx6ZMyvuVGJKlMqJ8zzKvxKlEq VKidSriRP0nDNQXGjqPpYaGERFkTenzCoFXqFSq3uCQPqf6YBK4iIUoZ6m9iCYM/GLXJwicdwcIN qGk3cIDyqDj3jjSr1cqFamE68yqWJK5jU4lFSpTfmVeYk4TTKxKqVP8AfmeIk1KYnor4JUqJ8ytw PzK/EqV/5K8RDhlNftEqGNSsysypVRH0IysynfpUb8sCSpxXEb4LjZwQd8T3TtblHTqCdlxDYJtw MtFM2V8zLQRTol3kZbL9CAYqO4dJRoaHEo6vCyyAEWwAAe+YIACUXgmFLQTI/MC2frzKcRBKP7gd E/OI6xChq+4MTK4q5n102eIjM8aGbiAChzbqEbYwuiW0o4DU0PwrjPUccgI1Cp7d7JzmnF8HUaSq MvmuIaH7CRzbkctPiYYql4zUr5lfMqUSsSpU8SomOo0RL1OBLYttsqUzcqVKLiSpXpSa1C2IsXZ4 iMrmBzKldSs4jbKiSszmVnUqVKihm487mWf9wTVMSjgMrEp6wxx7QR5r2gJVHiFeIHKOerY5HuIO LlcCVK9CA59IdGoEMblh9p7s7Yhzh4iBWGpst61ftEgs3yg4IewkVRgOGLeFkSLuyFkDITMAOWC6 slgS89EpE7bKypkfMWVhteYZ1WYS5F2EWqx4OpoCGzipoH4upaRac3qDdE8QuB3wwCHvNTbOBDEA NsA5lKw5XBFaduIY1vGTBygC841APuVeZzV+8r/kqV81EO5daLl82jqfDbqDcDuEMOagNFyvqViJ 9SniVxKleiTMufEr6lP/AGNPaAximV8Sp8SpWJRKxE/eUvEydET0RL5C5dwnhlf+3Eul+5ntfuLc 1EAxysjveeZY0YCJXEY+gx8oPmD0loBjuHiB8Sxyi2Ia+XGd/ETzK8VLTLzKYszLd2S2ooVRrK1h 3xNEIVFXjcqRxClENLxB0EVx1F2Ne8Ts52x3t+4a02+zGqxz14ll3rcVa47iLJCaxl4iAP04uLVx 27YVVs98e0AVNvuUbVo2QqZBq+Y5NveOm2/PURFKcDBKi75IPgYpNP5gigLuJbMdkQ3AVaaPOpYS pRZc98x3cSw2wC4UyohKlV6Vct0Mx8zEqVKfQs4uU/UPJEzrErghGExDlUrEqV6PtKf6nMUbcu4d NdS16l+pfpluiZeblv7GUOyHGn1MUULGEMeo+hUAfQMLClLBlpyTCz7u4rRTQgN8G241lQ5XmW7Q D7Jct13uEqAXhyfMDmrio1h7upnytyuYznlQx1pyufMOG0++JgtsvlMQ8RoTFwKnHGbc+hYVqXFL xMQCAbCFexzCzliiuK5Vhl+C0azGNFFJ3GBCh98pHIqgBUp95rDTSw0DU6gKwEhJqp2tEG8JwjH2 KinDzBTU1u2mDzi/vHcGj9fofEqJz6V9QF3s3mYXImyX83qWy4V8kuvaZtA3E7lV6LWeJUQdupjc aq3UKfPpU495WfR8TPdQYSJ7ye5LfMtxnMfnzDQiG6zNfzLfbqXy3Faxcb1teIrNuSDPmVCBYJL2 6hNm4mOnFQrvviLTHHMTpLOYdKKm1/iYVLvY6hhETwjCiq7gcj+JzubFNxmyAftATAvTqXjQ9kAU gcQrCNTYuoNEnKlQbLo4hcnEb6ioSQM8kMP4jbWGDstdwsRE5HTAQlax+80MPJqXZYexgLcvmIER MLEiV7iAsDaGsb1zCyu+oHWpb8y2/wCJZLmAVkNv8RU3MJWHmJU4XUXMp/vMS3i5minsuD9i8RTu MClsOpQmIq3Vs0DUtg34l1N+lwZxPExYMzOmJUnDu5ToTXhlPg/icx3PDMmopsDHk0mdwXIZGRfI MyLnNbW0dTjEQnt6c/xKm1yyo5ggGSqeXxCQVocdxzn0VSr/AJLtczSbTgme7q81FRZeKz1EN7oj EyhbGQ39QEG786hir6gcVjqVxtBsQ/LRzL4OIoNXhdwMX3OzvqCqWMwqsbguFmC5WtlkHRXZPKPy l4oinTUpZVGmmK0c9y+hL8ICyb8QcFyxahmIFh9mO2tgtncyrS7qKKTPEtcp4h5nWInw81EC2n8w xxHniOEsW9zTKSj8sRqohwZqNOgv2ljAGPEbFFlXyvRNKlWn7RVvC1qmv2YgqUmETJLGKRp4fM7D 3IjCwlPRHZG+ZS8rDyjbqAOf6ly8VM1OJxLleYnM/dhwDZuzAEJLNPJRBZUraHAuZbqtsUpswygR IWGxE5mROpQ5qVV+l1AVQ+azA0mGC7f+sWKxYyPjdQxZzlPMDKhFApr5lH5lmx6geh8XKEW3Y5il ezGY6V+0uHu+IvxfzENY8RWYUUN+8RxdXGy6S3bcrD3PeHD8I3bzBG1GUVa1xE4HzNvfRF7Ji9/U U+YvcEoHMQGN9SzUv/stJycBuVnMods9Sx5jB3KvTmI4bNVFFmIrtY9B9RHASnd+8ri5hLDgOGoq aALzHYw9Mvmktv1oJdJYba/iAqFBCniuIkzqGx7GI1C0TXy5hYGi8ns9zEBXmYlnETcGYGCqllbl y5TV1Pp33Ll8yk09vRcvmXbXLEuoaX+nMb3xptMEDVtCioMYqoESpQORVmUqKk/AcHqLSjQ11lyl 0KS1xl/uIKO0jzkluIuOLg7X+JQulMAb913AIpKyvt4j13WrP+xkuy+YvoRHU0brqcj7glbxGmoJ 3moKMtdQ7s+8JyJ5qJeb4h8UwaIDryxEmCnqo35J2hEm0JpIPCA+J3oPzFcOGZXsOpS4bxzKG6pl LZ7ReD7RaUb7jlBItlfM2LlXC2HFZEFWHyS0P38xYzJpvcLLNP7xLVS4ILmV92IUl3FCoC2S+vQs rLEG8iIqtCNtX3BMbO48L+IkDWa6PdmM2nLZz5gALuOWvHNQ7djpvyiKjvY5uC9BNKjBwFHNYU38 y4biqM0gcDzBHoy6+ksOBKTpl+ZniX16B234i6KxKMv0XmDLzctgUpO0A/MWhUUJwXk0xq4KkIt4 EQo+0cBoaZT5JqHN0tXEORTiBFMr554hT2kOcngLhQhcINAouo565yGXTC4JbJeA4ozm4935YI5w kcqmgC0gDpdrBK2t8wNXIF1BXxKgiOSZDT3eJeUAL+l49ovbKVsPEo08OpT0GW9wWH9npCJf/epf 4nB3FXdw7sQhj3Fn94+Mr16LLvmCOZuPhLVltcTzMLfMaqFHEsl2Sgg4nzMdW+ZZnBBTAYijzMfE rpuA7qFGJ0vE/Hp7zmXn3i+Zf0S34lxCYI1tuuL48wcSFTTkptiBkYBF5FXFzd95jYIWvhKRSsSF o1zHkbrp9QqlBaa/eYlq9opdZl0SA5g8iFRLWory3nzMCYVTh3eKmahUaWWyOIRmRdVu06XKaLZk nhOxjSp0KbOTsgwAhLVRdjDeQq4ESg+KiTSBl4AW3Ks0KU0tYYWKL4mlNQjxkVgOz+ZhVEu8ZrBo XCsoL1eWojwVo5iy0rK+bvRYViFxVLF+UX0W0NFdRobc+WFNIXpEW7StWv7jUMOPLK1q4woKBaKW HaMFSoVtpGGr/YYR7o3eaAR9iGGbHZdS6gs8u5jUDvbuNIqXtZet+gQLz+I3f1QLWQNKswtwv3f3 E8UeNJHpZ3bOFezM3Vmf65nRx5/0w7U+38wJj7WVHpTpBPu4CzXtX8XGsp1cyFnP1ZX8xOGtwEr5 Z/5LX3OuPH8jGtN/KbwhaM0AZh2fH94AVpcGGnuU8l1TmEzrswit0+Mtv5EZm/BUYbXsu+HMstgd DX8TG4fg+YeX+Z2+Dcs/pYl/Ww8R7Mw634JlzQN4num+JjyichC/JHgCFFuPtFzFntLgqFvwSvdm cRR7kYybnnPrGXWu4z4NP+uYprH/AH3K7s+0o5EDKoloMR3xZD0ZiyDqbSKxO6lcw9EYqCG3YaDZ 4YAwHJQX4xzDLpJZqviDKM0qg5LNVB6wmuDOR3iLwKysyZJQiIVjSbxhi4a0gTa1WLp8xfQACGWt 1zGpzCBWrKfAglP5OMwUi47GlFEaVYwcdBl3C4XYHpTdfU6XIA4bLX5l1uMVBGy+fEvoXDFKV+16 lqrNVRXkqNEbRtLF6qEFSaQrafeGlqmkCgB4GK2xEdVTYviGmGZKzXUrAbgQL6xcEA21E/LqNQRP Bws3TcVU38ZP7jcb0KqNOmumN3lAFikrrFQnzDicq14qDjUn8tcj2+YPYFk2XwK6IPb3YWHuwkqL I3qu7nOYbrj8ylsvWIpz6GPlHg/Kpuadef8Asd9faOOlfeyCcIec/vK8pdW/9igvbzDSBTgZZtQE 4uC8PhePaCuh4WA4HhZG9rHFEso/CHyJfFTAwc5IN6afjMQuj3rMww4vxC4h7FagsgOw/wCS11Qb clfcHuj7jb9zBV08hMtfKgYtrN5v8VCq13nH9zFlZ24gqs8Dhgxlfx/MCFu3w/2xuwztqSygD3Dh 5d7TGFnO6+2K4uPfUy8j2/udgfFw6R4NzPZl2ViVNPuJMn1UsoM+4pBVnnwj2v2QyFf8RL/uK7Qe VlNBh76lGAFwCwnP0ZZTSLU1OQfke07wWiNbAwgFqPdnU1j4Kq3ik5jIKYF08pSDCAcn3RCob05F o/aWjUSM03IzTKxfBMoNlHvEcM3CWS3i5VuAylkb41d8RACGAECtzTKKEcVOKtM34gOvUaULsdQV 5zgBZvWJd4y7qMNKOs94MUhFCpPliXD038ij7xiNmyVx9wHdVJWfBIn3piZe6oCAvYonApVhGupf R0J70v5OBOavgZUwJi1p293jUrPTKkrGAYg0rNxaNFbLhPVs1UqzpqW2HKrKI4h7mzFiKtF1mLOn 8hKSlbJXL6UUZyqSq+I37NV7/Ez4gVLPCdS1lZ2FaA0c+ZX7xYCW8T6juAwMlAyvI8VGCKdApToi 0FN/2TEYnmOP5RR48rVxRAc84miN2YqWFO2CuYN0t73ZF1CzJeMywOCuqpgaFgsLB/aAaIcKZSnC 3i238ym4DsvcvhpLcIIN5pnVb+HMoXei23EAPZi/PtMFAM1aCOF/MTLoTq+Y02hnXs8xNxLMOdQZ nwaGiVc1I4AzDMXZrJFlyg5vP1Am47S+izevMbDLRwv8S4A45tqO+k5NSsR71mRqffL8zKD2WP1D ZWHQ/apgUeM2/wDIAXB7RTiObMxoWoO8ythX3z+JXhT8xfZrjMchkaRqJ1ZbwZlvR0gRMsq8CDOW MYsB3xcO5viP5RbEA1R77jaXVnJE26FmcbluyF6qj9xYnJtogijk6Ymsu9FywgXTbhb0azhuIXgY otYBxgdHEdNqfqHCpl2PLLbVst3twkKKcJgmUd2fWJy/HBLeX3JfdhyUVTLCV8NnJgauL5Wc7gyU XxKWjQWWfzEAMXdWz3h3DKrhsweWMzAHKi3ti3J1t2fuESgdsv7mRFsUbgOsImNJzjUOolhLrhHT 0zAxoFdr5PdKKm58mmWUzAvAcrazlJA3ugrAmo527HlYqxLVr3zolQMihQVDCE85nufRrcavQ+Jd nLtUTEq8QFFh7Z38RVilAxAKwKGoMw2y1y478y7olymhecvUu5Vfjf1BShY01/EsW2PPMAgGqWEU awobVYDYKgcRBzVYOhEUxQcNw2I3ujGJtBpqyIKBbN1qbclaaN+0RDL0Na/5KSsldeILaPwhFXh3 cpQMV23G6u8cXiAsIvPiKFQ3zdxoC3j8+Go2GHw6iGh4Y5d3Ud33UBxd7hwp8hDlkTYzF5W4KlCb tPFxWi8ZqoY8t5xKhxXiFu8HHcSCrOuIi+L1M1qOhUB3cpvbUBZn7gGKmTvWJrF2sHTdOo1yp4iG 18YmE94I4aOR1Be0opxOKDHUOSZiYs54hKlU1YsL+YlGzywHvJqVRHOMSsGMGYLDVeJWPfiUmmO9 Sv8AWYDGoGcfmOqbKysq8Fn7RK8dOIHf4IR0R+twORn94ldwUG3XsqCs0Xj2iaXjjgmk3PEajNxM b9azcbGnniWrBvs1B4FOAt+ZgAHitwclquzT8SjJLVFqNrNB/wBgZCza39oZFUPdgBvFrSy3XAa4 mBS0bKzidGfH8kvYWPioZeU0bit9vHHvGgcuLMzPRZeOUr2J3/yDGwBy9xB09yB5eXcF5B4NTEs1 2DcAqBWuJlWYNEHFpZxX8x1A+Kua7Ou5gtLvgIiBVHVxHw0lQAy6a831KrijxHMVv6QQFZHwxCwi 1W2GPNV+YD4OFgcU5WVT/MGrydkq6se4029mXTDV7fMUbvfUTOT+YB39S1TjGfEFxqX7yQGxK8w8 MzSftPwS40XzMNm+epxGamD3NSmO+pwXkhWwD5j/ALZiWx7jUAKV8dRAbKr2gL7Zui4rJAcOuY27 Lla5deIWUEgbw2yjV+3mUvY6maxWUVVf3NS2vFTtSPmcDMwMwrWX3eY9IrdKkVWcX3Gp5c8zuZYd UJLwuB7H7wl+8HrT1cMdRaUHzQxjZcpUAN003miFFlTFV/UC6QPtfeK0BdNozoP4l1LpW7Jlvqym CqljrOMR9voEV8xdBhfN/iC429BBBU3dH+soOVOKYIlFvAhW3PuqJRqsIpl1Cng6jV2cDzOKgDa2 76qcFoxZj2qDAKbut7loihVb0exEZsOIvTXj/wBilusadHglNtXHlZ4DEsa8lsOLTr+ZYZAeZoKr tlpVWcQC3yzLzanKjGxi/HiUjWXiXPN6KxB8jfibYgZ/mIrik7lgy0I01V341McYlYO/3mAT5Lce 9Tdl0HtC0stvmB2z4IodLjdwG1c6KmG9K5YpV2W2cwBobK7ZkxrxKlCp4YqMWvITJjNdyhh4xjMz BD5xHWT3WADFZ3FjGpYQ0G45Sqa6gFdCQBh508QW8ulG4JXIc6mMCnuWq8YxfEsGW+CLsSsbzBrd xpKBrbuOCqB7jgVKNMNLkOTJKd2O4pZWdG4Na4VgvM5Euv3+Jdmim8GPcgotXfOZt31L/wDP0Ahz W4K04aBgkE8FNX+YL3zlZTIq+61NlXneMSsUXqrICrbR7VKgulOeYDoF7xKp+QmpV6yaNsbhBZy1 n8RTVC3YZ+pSOin+8ywKAvARyATgcEqrAXGPxNuSGz3coGxDXH/ZgZwaaI9g50VKXCHz/cCyj4RF d5TdwQLPgwsy1sfmIZpy0aWU4xPm5Y4K88TDnI7xKBOvgg6Gz2hPkG+pTRQDkyexKLXTxiFyvwl4 0rmZZAnDcALGtwV5rxKhgL8s6dKuUQBZyln3DLI+OJgQFPzHDN27tl09PJKVJYc0ZlgbEPcVjTQp mWGhxqpSccZqdC38QRsDPHU7QPlxLomElDYU7ZS0VnkguW7XFEt3LOHPcXkNe8EyvMtdkOq3Cjsz 4ecbjlM+0KZy7KiPDpLGeOOSXDyavMzbpergPCO2PF9Eq4weYAw3fD4mS1LeFmaZp4f+QBt5ZJwX /JVqvjOUpruWRdcnFR5A9X7eJSrTJpMfOJndLDLnL5i1FL+ITo90YUcvqPRgwQpV9l1Mzo7aj2Dp x+YPADuXZQrObnEq4wRsyryEyYKe5Zq/cvXtL4HHEBwZPxLsiAfcbrs8BBRS1tQfvG3Or/alDODw mS5A8FwoNN1DQgBbCOAu8rr6mQljpnayuos8Cs9ZiKl5QSOCYJeTqXdT7TOgnu+4pXPhMMBfWYtL oBw3BVlGOoqLULFVUXYaG24vYkN4g8A8NVKciHtz8TBqj5uI1bzjLEHHGqWHI/1GgE7FHMWzg5jq Kp3GXbBaKRzGhbCvqPle0SvO+0LDKnbKKB8RBJkl5TU+JO4pBoK47lgcq5gUYpdBATNncMt049ve LbG8WQFtT3iIm6pihoN7OJtLHwRfezxDQNH8SgSijVsaTgXTOFg+OpYYVeIsAvDMwqJ6Vlm7HjEw IR52Ss3QclOJVrTDIDLVsO2Zrt3eYC92IHIBxmZguHAxu7AxqFMCl77QRmlrvFRdB8Qou8O+WKYv w7qC9fVQveu/URHLDRC+4BEV2sVk0PGZWFo5HiWtLd7Zi8EfcCVU9GbJSKB6dwx0V5xCQKPJ4iOC +qzEU76rI4lNFbp0TmyTk1EXjfdIkHIZyqpXB74Bb2BxUHZZp3OB7KK/eDmA1y8fE7LTwbzFimbi LA4Ocn9RLBtdVqNpTVlYKm6q9upSvPw4lpJwYWyN3riCvNDxHlV6zKeEszf5P8Syp/YTtBxBbdp3 Mm06XeYUpo8eIu7BxxmZ4m3ObP3hQ6Z+WWWjkyEcsZp+ooeI6PMtOECA99zJagZvdy3RXbUQBV1x L2fkeJSs2vAkKM7vjiXfl5lPA5uWKMNMV1C/Bow+IItnGmWZbdkAuinlcBSBC795QKrv8wXvS9zB W3eOcxWiHnEsmVf99yhZZd0HDC2sJpyRQtC2q4lK2D8/tDDYr4iir7lN7AOahBSA7q4/TdxQDfhN SxeBrYisrHiu4NYohfvFgbvYspk0Y6iORLaG4mBAY+IIp3x3KV7Diwuplqz1xFNAHLf4gDIecZlr tTiP7j6ECLQxUuthl8wdUCPRm4WNEeRzU4OC8V3Fws02b+ZYmeG6pgAP36PeUrRYwofiAo1Vu3MZ b3HUViMEBVUdadSy5AeYqzY4ot+IuilO3R9StkK8lzTRjjn5lJSvS8Ea7W+cYlGxia8yguzu5eWK 5LiDLyGqaJnCh7dpdcXQ6/uYVUB0YljQDyGBiMpL02qKF4HlIAEidZmE1k8QwUPH9y+Z5uyLkW3V xM4O1qOK17xuau3L7wsHQ4IAi85K3NF3UqyZVm8wpkpva4+o0qKHAxjVPN2xo0SnLX1LpFsccywP LgsJVKlpxwS+sV24gaV8sRAML+TRFkePqWapzxcp1W3ZuYZTBrERFoB2m4oVTzeP/Y02JbilVwMB TW3ES2g8dQVI2+IqONcsBo47iYKybuWywrcRa1fMDejebjHA+5mN4N/z9QNDf8/MVLI/EsrFPFXn zBJ5dwLkyThhWvMzDw5ghOWx6Yluy28QKtpek1pxxriWurHIkyUAsXYXFa0WKM4iF2A7t1LWW29v /YhtvQ/xExRXmojS+8pmrj6HooFheMkXLA6KsqCKsleYrSeTNXHSz7XFkld3r94GoGjKP8QfCOO2 rhj75sUH3LMiLaMs0NLq6v5mmnuNDKU7dhl+Y4cVNbZwPjvmJNKV4z7QprY5vEOO/KUykZCGbpIi qavbS/iWae9buA/f6P3KK6+w5jwCHy5lUDJxVLUOiHd39TJkAfaC4YXoGq+Y0orVyceMSre1/eKS Wa3WCFD8rEDsDlWWOLaebl2F1+T2l0AVrTiWsJWGmmAlA1dd/iCc/cg7PJgyNnu6+pWCPA5giUXv GJa0RXEFrVtjH8xQohRssP3XiXuvJWeoFmhq3U4SeR/2CVn2l1Bj3ioX1eeJcCwFt3j6llsnk1ML q1NriOVYeL3FbsDOb3Lt76vDLgnWiJ1U5qILIDzWpdQoeCLVLW8TY33Nkr5ZwUe+f2lHh84+YMhb XEtNeC2CrQ5XeI3gGuQgFEseuIEwgOBy/EBAs2Gb+IDK2zQlTlNHmCdZHmIA6b1wX3CarjGb+4Vr V1m0xwYeOajqojYYXs7HKysEFv3fmBClU2Lo8Stlp1mHN0O7jhznoYg8x9CU7jLy+IVeR4lGG31B LAxm+PeVoKB4zFrN/GnwzOo1xWI0XaW0HMrW15IOmVY1LFs9xq/fuKkBr5mpKF0tkE6u+QloWByL bKt2jo6nAWy84KhZQH2w3OucUS9WrjIzQNhizcuwTDi9EMYjkmSXRxKz3Mt3Ycsa7AzVIDC4UmVY TlOjtl2crkubWHbmpVda0efa5QxryS7pohdBFOQuaVGmA1nu4L2qrJ/5MFBk1Z33MtAeyEN2DeNR oN+64VVu/DuIK394FixQfLdUS9ZB2buG5ymMwoi1ew/mI7l+dQXRrDRWcRtonu9xVsxxcYS6Xmop Vq5Bj9pRg8l5m1lV4xcwKsHFJVzaUws58xLJUc5LjMLHCbTpihhfLEtGPK6l5aHs5itbp1Lg+1ID dD0mQhbSaJeJV7czCWU5Xa4Myfwgi0Doc/Fxdq3a8RlsnCUccdtSp1b8StdDorUuxGlt6/mLFkdL cSsQ7rmB6AQS8wrku2+ZYoN+1SwOGzjzMSy3xFHdKxxmIlg/u9pe4peVz+I8RfKc+8R/AV+YnB8N /MtxllhSp6kpzFbXxOFte9QEXxLAG/GpfmBrefqIFp23c3oqcl9zMQUaXn2hQsNZozcaWt3otmCk Whi8Tg3y4RoqvSdRwKj8nzKNryGi5ZAy5FVK3dh3nXxM7BTvvMKoyLK17xaggMtKajFKA4TODuZD NvjEtO3sso25RxeBLhZsUl3MELb0xyazW9jMRyDmoUO3C715qUKWXYA4jBbFYvR4IpcC7o4nKNMz /wB5v7gVU3Rm1wkyVTviKKs3W9y8ontxM0sXtqDvm9qUQQTcuxcRLL44ltojdVxChaPgvLKV9B1E 23L+0BGxcI1TAd/IblS3aK8xFY4auFwuvOLzGSKkbnYkvYu0+xEPUWVSXggEaY4e5RahhYAuyIlU 7CEUm7YqYhak13Mps4PMQNXdRSWq8GIBsp3jE2sWb8R4tagrdP5Q8Y3cWl3ZgqJdYYVML7YFmrA3 xFzu/wDdQ3ohhO5WAo4B+7AFD7uoPanI6cRdAVGwXWs/xDBQUOmq94G4vXJXmPdaGjMFLcUq1icw FtF2X5igBZurP7lIq3RNRQ57jRh7x9CAfeJ1u/EoKeTOMTGC7KtW/wARSbWxsBVwHRrhu2mAVROn mFnC81iCKAWu7ubyXpnMQUWAqLEC8wJb8wd1kZRiVtp3auu4vI1x5Ro6FzX952u4TERMmnmII89H N9wG1z5EdynC8Z4mOKfs3CUXLph+Y0NZHPMpZAByGIA0DrKZgRYtcB/MzOb0DJErjRWhywHRKBkv UE5vHKsqGAK2c/MRvP7Ebpq75uVdF5hdeHwRi0FZ1wMbeM7bjswK4zG+UHAEOR+TEGkEu9wq2Ave 4YAmmK1gHMLOul8fUdXxUphqrQc2/qJ1HszA3Tt4qbBY5/qZbq3xGnC55xAYW76ZTIAmi5RotrrG feC3LfZMQN2cA9oyFO9jM3JnrVzQKCYHmOSrX6QFVoYtwxaDoYXr2gstkV0/MTSlp2xxpu1hzjqC YxXccgk7ziAAiX5LmGwLwf8AZRV2WaCC0o+WMAZSE3rp0yqqIpVCDIpVx5lMgp4eYIVsfeNmS3tV RYL0Pn5inLWhYi5Mu+n2mXgPzNss9mL8QfDvnnxHl7g1+JRDJhZkA/gjOTyYrzvuN+hcQbpOplis dyrlpnw/9gnZNWV+WYIEOXeHyRRbRoiOR8CDFbOK5YjbBrb18ws4t4GJYUhsH/Zi7Zda/aUzeB7t wQaQ+MsTq/CUeIvtW6pF0OnIZTyxLk93uG8nPJfvENE8hD8wN7oGcPUxUFpvNx4xFrT95VSx4OIj GA8w4kLsc3ETRwutzhIvar4jeafLIQehHsPzFKA4KhcAMldFAymnCVTz9QNHbBKGMG+5gAVwYiwC 3lhQ2LNgx6D2UMe9DQNx1RbvHGYlNVpvmUygifH0QwryLhwAHKGahvRpWTcXLOGiBehQ6mIIA/E6 I9dTEUf2Qw9l279ppZt/2iRgXhaE31N0MpYu/LzPJzXn3gdi/UAMJq9dwji8NLZAzdEbXd9w0aNm KcQaeVlFBLRZ7fiJmqCczNgm0rmOJeFwVKOHW158RRHI1BctXmXh9zliDFLpbcWRcGG9qxxffxKt Vl5uI0X7svrUDY8RqyHN6vxECr4e2Yi0XFuY/vEcVBCXGINhq07gnIC9cH1MTNLhUHtBvK92+YSB bNMpNmslsDLYb1XziO5xBzqonoVCouD5MpA2zg1mGdWPkwDJvxevqCt2rl0/cUKBo1ZRLXRWmkIN PYqHxgLUpuoNLm1Ikzv+o2pRHGBw+8QFULvN59pQWTtUv5zA8gppMftNEjTGot0ZKtrPxEFs1wBA WxXS1FAxpi5ywqwMEtIU44+CAKMOn+IsWonJhl1jFbauIA899S1RKaEBigbelgnD2DmZrXTq4KWC LXT7RNDKbrcR4CtrX5jhQtsziKwcIXHtOisFY+43TvGa88TjCHRv7iTweW9/UzqhRCnZKvGCCA0g PhnuNQZ5lY/EoicVxiJoFV2WZ+IbCVwXmEaoI4VqWq2SyJZhQ94jSUvwYxNzI5IG7br8/Mqm/ZAd IpwMbAC44vERpWdGqiDmgfMJFVTFXcI2iYi0lWPmNMwOaFhEaaoaxuXRzvdIjQN02N+YXIKBjDdy 2kp/eLogOqjHmCoQtXX5IMj5VuKwwc1M2QebgGqxpsuJ0w3eYgchyNncwsaNvb7kFpR5s1U1bymS nEMjJwzz4gtTI2stxAQYZUt+WNHJd4to+IhSrtzUoB186jw4zh4gsum8h/CAWuWmFHvFFjK5qlm4 KLriIlVfyiTx7xfQhXUM8Djlhdqr/MEmcHNQO7b6dQOGR4yEfuhqyqdS8A2tqmYrtHOX3nPA+DAG rcOicryaqA07G+z4Y9kt2cwbMt7tRSNA61UpURTvFwsLv96+JgDAF3V/vLgXp1UE0Dy4iGzIrIYf iYzq6yRgTWs5U8NR4J0A+pkSyTIs3KgoPIZSKUNQLpVPCftLWTR1NEydPMyLY5NW/EBW85zi4kYG 3oImAUrgftNoDTYxrTflcfMLRvh1LCi7dZQbITKb/eFFmvbSTmD7lD7jxJdMq9mAKYPtmC02mVBs cBKMN+Lr9pSLVbdHvUtgpjApy/xK6B5NOJYPLnrUNi2+AxfjMQFAYBpbHCOUc84AqhXlmWJg8ku4 M9DXxcZtxwSNFNVvGJy6vC4jUoC5vP1CoArrIwPxLMpbXP8AEsPoFVFXC8iXfAZ7E4Z+pdRwdnEU djw5iUprs4lPg/Mzi51iWnItkckSuuw3BtaS+DFEsgvYYZwpSiqqZVEDwQEFDvjhmOWVud3Hge89 dkBhQ0eeSJe10rVn3BUQphdQFc3MomoZW1XIEEMXJZL+JYNwbeYPgBeai2bjs6iszjq4K9CGcXmD F5ficO3LcMEgKjFvzHvVp7jgab4gKjDVMAwZuzLt7iqWj25gMAaHcDQHRv8AMdyp4bbrzDsAHpmL gLngJurJ42/iM7O9YzBQy+IbGwWNV7yyqvKDv6j8xxayithzjUxFNuBYpd+yOSjgViWW78mvsgwa VizHI1g2m5Sy0Vj2lXA8kdwDNP0R1V26LiMWpfUXyDU8NDzDBwHVOYciNpNfUL2VS/4RxkJo8xBq WquXsxFdxyi4UxxAg0e5ixoOdJzCSgV4ee5Ul15GvqMu6mF0EPaBa7OYpQDeXuUsHG8EtZvYogMi yrwxaCOKrz2xCUZLqs/EPDdMN7WPIXgg1yHsWzTKdbRLgT23KWjJy04grM3rn7ghoq+olU0s0Q6m lAVI2L6PMqiyJkF35ambg0bzDJZcjmJAvb9xVGmTjSkBpTVu1Qwu8cVu/BMYTJkXFxUA070qIQ1F 0KK6KmBTert9sy3IS4cv4iWrtbEwKOWYbBT7V5h2SDFViorYS4q0tBGzIPdgt0K6Gl7wxj8nI8kE WF5K56gKoDnp+JktFfn2lkI2+eZkKtua5lhlXPGIpW2OfQgvUDnh5/iWtjXJdS5YOelwNUo4G5U/ CxdSqIBnuvm4n/2p8ypa6XTPxD3tGqN/cK2YN8JYiUmA38zJqfSWZpT5u/uUrq6WzMSBkObaYIuw e96cxqVqCyp78wTC0l1S/czsFNXl+0XAAmRj/wAmPFdFr/E2NfC4VmBheKeoUdoLcB1iXhoz7RpK uN24mQoBjXIrRKuKCauJEIplupbpBWE2Mam6jglN5bZRx9EXi6aGoAXThSiAszoZzAKIE5X+Llhd C/qX06+DzC+urZp/EVWLsi9xsQKo6qOOXxEcpR1zL5rT7iTZk29wTVhb239TRV0xzFLZCv8AqYjJ aYrlg45jtodB/EHa5NHPzBS2Lm4ClhXTYibqldnPmBrK3QNnmFBRGoRwzF3niGZrnb/UAKhdA8HY zwfvd9plYoPF0PiouLC1jdP5YBq+HkzE/VwIJ8osqroVSYpsroZD5iLaC8zcuPTj+IVOOcjnPiaN vKoYsXYFe0JUUm2rWeodrLb5qaCyxdLP1GGLLzfE2ogOFeJTBVuO5ZoV1iZcCV4gBmWVdGai7hLw ixB6bWvbDGXnTXJ9yvY9jN/EGFYrQ2/EUPszZvxFMqFbeZcB+pS7PS4K8VHQd8NRIqOmqzAa5H+h ILdOfBfzceV0dCVj7iS1QQDb7lHDyLv8xmG90sENtLby5RfeuK/YgAWBz4PMqZambXD/AHBD9je/ mAF1XrFvmGc1XitX3I2Wlm1R+ktspT8B8Swa+RNdpKgRIaCqYWcTFkMfzNcSYpj94btZNFMFuTNF ZYXS+h0+8dIV24+pVA0N4S0p6oGflhMllN3mn4iwMBkJlBvxWJuajEEBaavs/GIIVhXVr+0y1ANl bH5hogdCoOHx/MAFlYyDAFu8Ixci/CUe8F58kAwE1T+43Y6cR35VnhhnB8VsjprvPMbHAMVnMCAM OG/mBGC+lhqAxfAwSgAIGFaH3irqiZKFD6iKBpyhqGdjVbEYrTNyZbScw8LaQMoI4QMvvLKfcGj9 S2qvIv5YLNUbZc1G1w+RshVC74c/UZRo4QbCCy/I0eIpgSsN8X1M57NVAq8tKUWupaIPDvAra7wZ fEIngG8RweWKRK95RTZXuQDoYyz9RSjDGTdRmVkvs/MMCu2KPyqUKfhJWJQouF2uX7ZZycHCZ/E5 E86LD5ldSwNqZrBpM85+IIrTzmfk4hbaaem0gZVsLK1X8QV7djcMC8NKghUDbwwFY/cmHPsHLAqN oxV4+vEPazhiehcGmXUJ+NxJfbzkg9uHvHiVnPNMXMl5BY6Z8Kf1EJ6cqWOS1VwA+o2kOEEfqZM9 Yc4jjVaeLcyjQFu1HUUdAdNlSyDF54PmUDQSgE121LNlyxSzenRZ+PEssNHTUV2q8+Ivu7NBuvmX MUOr/eIDkVUVkJUctMus+0F5qPvEq37TKNUqreAuBBRd3de5NBjbQXKuEWpRrzNIb27bmkccrDEZ JDh1BJEG9r8kRkVOa/ec1RPZhkKgXblgiwprY+iM5W51Z4l4GbNGb92IGrtde8zEWy2Jh1aaMY+W XvZ4FfvGmaTa0/UGhd4oYNAX/vcwRDkBbChAcsNEXkCt0X7RbiRekH2Q6BON0tD3qZmnoENwjyg/ pKMKji7icFWtXwfEXRGsLUfaZBYNm8QtEpyG681Fasnqij4he0MncHGDNHbklShcCKqu4ILBeH+5 kAvJZDvDLxcX+yhfdIygIe619ykPANK9pVXTtIfmNKGqAC1+ZYBbtazXtKErB2UHct3wWjLNReIV j4gO3mNd53CZAHA4FfOZhhTI2vvBiNq9n2g1GAugo1ziZC1aFX3cBSjkOj05iwszY9891GQLl4Mw AFqnW7YQ8M7LVwRpXujcaUAiXRevEwgXd4uIu+RVxfzxGvQgVxCF8WtkF1mmzqVFldEXFlQqaZPi KhQLTWiGKLnZpXxGOJ2Lp8VEyWU3jq+oi7oBac0xQU5BjeqhUKASkdp4hicPvgNUH5IgLbe1V5jL QUZszR5Y2hXOwxRHBIsF1nuIioC/m+cSj+QDKCoCc5nzNMtOGuWCVp1MFVXc23L+To4F8vcBpS6E bD3jCV/D2IBreph3Ew5Iw7TzKQJVWrz5YjVr9xKuq3yhAOJo94RAKFyuZwKBwtTEqxvavqWqt5Br HEEyHUZJTUNmamVvg0bIqHhzotiUDfTLGDggQA7tIsItTQdq3L8jenMdZDWDzMRVeGswBSnSVtl5 C0Pm/wAR5DLGP7i9qFgwHzDGSGEDL59olkAfkuJ0HFZu8+zFJydQQqaPAoYWhdsn8JwlFc7qCKMn Y6mYhpvb7ICzRbHLt6hcnLS5V8xhIPumeoAKE5a8lStmkBJi+rm/NBjofMDQBNGNwsFsqcQCzSl4 3wQQI8RhvefaArzDdr5lo6mQ4z3FhtubUEolsvKUGqNr5+6LDpVbzfI9wyioKSsvhSYro4c58PEB kPLPXUDdC2pgDV1CmIETbt8wG+avk9/Eq0RbgdxXs8Lg7WI+VCXtXxBrpjAP3eZaFC91WS5YSx5t AMcLLP8AgY5lOqXzH0KhvEspd0JQ/mAh0AI3R1Fqti2XTRvHUCkt8pfhAop2Kr4JkJhlKar8SlgN 8GItQ926z84l19AFsT3MZnL04rP5YrQBk37CobT32wp2ENkseDePaUFpfLCPs3E3pkMVkm0gE5V/ EyU/b8CSgLhzuw7vuMrWbPL2kWLgzQF943Vou8MnMW1bZ0y6hiEoeSwlCHIGF6jilKWrX1MNoOkM xamaj/VSvJXGP4S4XlbrPEUGE7NP7y1jbL8QgWN6aBzAaLWoUzXdx4KKN23AVA4NO/xAkSqpn6gG WG2xYPKQNcFN8viGLRQvcuABfcleJ0DcYAOZY2ZyJrPEwcq+dn1Lood5OW/eWWBRyOo9DRazY/1E whO6t8e0UOipMMVREqZnHwOYpEkKGnu5jeFyXZ4ddzb3euOxuZBlC15xQj9DeCjLAzamR1BSmtAf yh0Iystb8zY3NWnaxbnnhjW5UFmwKZxvBMgfMFUwzhVo/wDYbHg6sxtcDwFrywcAifACyn04tln7 YlR+IAT5xAIBs2C//SZy7PSn4gBMKxmsfEoxETPBPeUE1GoDtzC0VTZbV6CVtFDlAsebNzON/CU+ FuFcLgyovuyIqOzZLYZlNasH8bJaBG4z9kfZjCLLynUSoltxXvLEqFg09JQkFXwdFMy0anN4e0MU aFaWj/MqgQ0Nn4i4FO14+2GFVeqAvvAajRynKZ8sV9TPiAOCrwzHxQ5MHm4Fs1ClNsWRqCyWHxiX lC4MFh8cwVtWw/kygB7gF9DBC1QXFZruCH5H7YSGOewOPPUWHnu0fDWoGstxRt/EI4fIyZiKg5Mf tkiTBDkaZlluZSnHVXhl/ZXDQNfFkBkYaQZHsDiZy8xTde6U2QCsKuNBKGxm9OfqaSIsoy/aBFbU v+IGzwmM1XyxoZvx/QiNWuin5gKvG1Me1Rv/AAkHtVS9C2HFdwM91Oam3kVoX6lQYhwxfiUbFUFC MX8QqhVwiiG1R27le8ULCVkW8QADVmrQ/mcMDtLXs6i8uuMFnvuUi+ocdVFGbQV2YCjgBQsukHoE a92FKVwbtffqIsgG5inu1B3+wQ3I6CymfBBYXCATPLcviMgEMHtGkMrbtDuDA4hQmuA78yvZF8r+ peGjbalnzGw2peWZa5S3ki/LFvMqI376i/I0ij7ig023WT3xCoYLd4QbgGi9vmBEOjowYOqjilgD qnllCqzFyLfvQWwK00lOGnkiUUbO7HHOYiAGoaDw3MhOBoB9pKshqsTE/cSrNFSAYZqoSjOa8R27 U5x+M8QPFMFuU5DqANiAunioBS3tyT3Yucm4sri41ZrvGSRAWh0OK7RzFZQi1sU9tTH45dr2Y0fi B7QgNOUuyI9S2gA6ruAsLRmlt+8NcCy7a9iDUC9irt7RQFj4LvuVDORcL89yyW+hbv4ic3ldcHtU zZbvmV6g9wYG6gFSC7Ap94BYMZqhXxBLbkoDT4LqBcqvppDthltaZG/viVQZtqufeJqkjABl93iA KICstg7YFYTQ5yfcIVll6fyRuILaaHy5gM4Oqe5byX3eWv2jxaHbEqCOF/UbaBGug+46iUDwGJn+ s1b+Y0FdrGT82wCwdglqGcJbDYwsW1ugF+Zosm4RVrYzi69rjLs7aLqUY0QL8rA76LZbPdMSkauL VL5IhUxO7wspL71gGCaaTGOU5ZaKEq6x+IA1e4U/HEwoEZDwh1A2oNts/UA3QGP5Jq+dBm/eANqT GmDLcAEEVowwTMDyVCpJyK5YkJfKgufuDk1rWPzUWr2rS+czAOG7AtwLaW27bfEqlLE1cfKMeVbx 2nHaxDjs4w30uB2iy6h6K6jhBOlNlQraeAYPqeJF1XbULCiBWP3YKtWbHcVI205PuquASdf1x4hx d2nKDVsQ6YL3b1NTu2unleJrgR2/uNXLeS/biVpT5LVJ4e5oAYh6DzAwg1GRs8od4FgcA0QFcquE Z909oQNgHLSju9MCaWfZ9gjzsTBznuJQ1Td+Sb1pXW+yNwCIy2fjEsUFNOXyxzKy08jj/wBmcZaD IoOIJIdVmnimI1kLF0/1EO7Oz47iJtroP3gI2iay8seTeyI+lzrcgW694zTBsANvMSyZa2I/mCkB RAq0efDAgOErI35lC1TSfzNQ55xUdSvQUi66xTXMtSyxorOZkJYe/wCJWFWg4LKwK8gC45KarF1A roKrrEqRtXkvHUApUeQK7SXpOQGIVwfXB9RNjJy7gFVmHGmAFLGatHi0ark7cXCFssUOvghkJ+JY AQNphqYihX5tqLvBurz9zjrXNwiNgvFpcaSGzXEVBQZa/gx3YuBajZoXXDgjQD9MzIEnYZXxM/wF wSNBz7wu3h0HEBEHAI4UaHDbIi72XTr2my2uKxXsRRyQ41EKL2Vt92AKVab/AHlqrW60biVRHFI6 g86aP7gBAt7a1BtA8kgBAAdjMRWlBVkIBBSkc/LGxD4W47kHA4JfE3Dr2zLNqrpr2ghhqrpOo4qt 74l9AeLqG4l2LwymSiaTI/ESxuWq6P2JiDRO2vqogkovDr4YADTnmvuTnKDHBMJtHhx9xAOl5X+I IDHIXx4ZgUMh3R7EB0ApvG4LSgOk/km1A4dnvF14mzab4iay03WX4vMpdSrlvQcUSiqO1Xk+JsGj Al5X2gQyR4CmChosvO4rbmso7i1uWFxWCY4qCjaOxcQMl5XMuMJZyL1BeaU63Ayr9kHkMAS8RYrT gBv4jpFjebMVegdAUlQCC9P3uBWKjcAwa8JEm855/Ric6iisZ5gtPRzmJp4T7S3VPyy/m+2LUlft OgWdkV6HbuYAoPMGLb6gW603nUy0B+I4VrhIVHk5nizHm3fuyh097iNK+o6NPaF05B3BSrK4hSl4 2AqYgYrome7vzGAhmZTlgzVoU251cbS4Zz95gLi0/MQr096jczx1EuHXUqEfi8wTWb+iIwAqNdkp jn3l9XZ1FZSq6Y0WzXULLtfeAvgPa5qlb0MEqaPk5nHdDwR3B7WeKvBDYfzENUZYWJfUoFG+XqFW /dlKI+TEWL/ePXD3zF0AdzzPaeIX5MwRyGPFwFgvg1ALSi4Ax9sagBvnOJhcFMUV3Md1TvG4hdrH HUs7sXi4K3z3KC9nZAyfn+I07PzD068cRTa88eJZm833GhdGtHUQat5iDGcaxi5e2D3FRV2fmVNh ZpIC6K3UUc3TuUMC07JYOfZmW8+8t1+vHo3tZUzPmFEv7S2Wy2XXmW8S4MFg02Mbe/csPRfmX7lj zG3osly0s3PCC7lkuWTEKSx9LgjTUxduZb3FPMW5bFmOvRct7lo4zSX6WmmX+9+i3t7TyzL1Q1M7 u5ajxLlnMAGCU6i2ujUUy5ZNONy2KefS+WC6nm4sxF8aly+YpNHvArUv/Hz6H6n1P/h5/wDjf1H6 314/w9+vHrxD0Yfp/9k= --------------Boundary-00=_H88V9Y21VA4000000000-- From chemistry-request@ccl.net Mon Mar 1 10:18:41 2004 Received: from mercury.ccmr.cornell.edu (mercury.ccmr.cornell.edu [128.84.231.97]) by server.ccl.net (8.12.8/8.12.8) with ESMTP id i21FIed4027875 for ; Mon, 1 Mar 2004 10:18:41 -0500 Received: from fili.ccmr.cornell.edu (fili.ccmr.cornell.edu [128.84.241.145]) by mercury.ccmr.cornell.edu (8.12.10/8.12.10) with ESMTP id i21FK5qj011158 for ; Mon, 1 Mar 2004 10:20:07 -0500 Received: from localhost (cc236@localhost) by fili.ccmr.cornell.edu (8.12.10/8.12.10) with ESMTP id i21FK3Xm022951 for ; Mon, 1 Mar 2004 10:20:05 -0500 Date: Mon, 1 Mar 2004 10:20:03 -0500 (EST) From: Connie Chang To: chemistry(at)ccl.net Subject: CCL: Gaussian -- Orientations, forces, & fields Message-ID: MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII X-Spam-Status: No, hits=0.9 required=7.0 tests=FROM_ENDS_IN_NUMS autolearn=no version=2.61 X-Spam-Checker-Version: SpamAssassin 2.61 (1.212.2.1-2003-12-09-exp) on servernd.ccl.net Hi CCLer's: I have two questions regarding Gaussian that I'm hoping someone can answer. 1) Standard orientation vs. input orientation. The hessian is given in lower triangular matrix form at the end of the job (in the archive section?) in a stream of numbers delimited by \\NImag and \\. What orientation is used for this -- the standard orientation which is rotated with respect to the input orientation? What about the eigenvectors given in the body of the job output itself? I guess I am confused about standard orientation vs. input orientation in general and which is used where... 2) When I'm using the Field keyword, must I use Guess=Nosymm? Or is this necessary only when using the GVB keyword and Opt keyword? My molecule has high symmetry and I'm wondering if this might cause a problem. Thanks, Connie From chemistry-request@ccl.net Mon Mar 1 17:33:55 2004 Received: from web21201.mail.yahoo.com (web21201.mail.yahoo.com [216.136.129.59]) by server.ccl.net (8.12.8/8.12.8) with SMTP id i21MXrd4015009 for ; Mon, 1 Mar 2004 17:33:53 -0500 Message-ID: <20040301223520.90771.qmail!at!web21201.mail.yahoo.com> Received: from [128.112.141.35] by web21201.mail.yahoo.com via HTTP; Mon, 01 Mar 2004 14:35:20 PST Date: Mon, 1 Mar 2004 14:35:20 -0800 (PST) From: Konstantin Kudin Subject: CCL: Re: Docking software vithout validation To: chemistry!at!ccl.net MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii X-Spam-Status: No, hits=0.0 required=7.0 tests=none autolearn=no version=2.61 X-Spam-Checker-Version: SpamAssassin 2.61 (1.212.2.1-2003-12-09-exp) on servernd.ccl.net >As flexible docking getting to be an accepted tool in virtual screening, >it is nice to see the growing number of such software available on the >market. My only problem is that most of them in the last months comes >without any validation data stating simply that "we are the champions". >It is just like walking in from the street and trying to sell something >without scientific background. Well, it ain't that bad :-) Since it did not seem like the "we are the champions" approach flew very well with many scientific customers, most sales pitches recently sounded more neutral, something like "here is another tool, try it and tell us what you think". >Probably it works for double glazing but >I am pretty sure companies spent months with validation so I would >encourage them to publish their comparison data. It is true not only for docking of course. Extensive and proper validation can be way more expensive in terms of labor than the actual development of the new tool. Thus it is understandable why such work is being delegated to the customers themselves. Thus don't hold your breath :-) Konstantin __________________________________ Do you Yahoo!? Get better spam protection with Yahoo! Mail. http://antispam.yahoo.com/tools From chemistry-request@ccl.net Mon Mar 1 09:23:28 2004 Received: from uni-stuttgart.de (mbox.rus.uni-stuttgart.de [129.69.1.9]) by server.ccl.net (8.12.8/8.12.8) with ESMTP id i21ENQd4025426 for ; Mon, 1 Mar 2004 09:23:27 -0500 Received: from [129.69.145.98] (account itbptr!at!itb.uni-stuttgart.de HELO ITBNTW31.itb.uni-stuttgart.de) by uni-stuttgart.de (CommuniGate Pro SMTP 4.0.3) with ESMTP id 5203784 for chemistry!at!ccl.net; Mon, 01 Mar 2004 15:24:51 +0100 Message-Id: <6.0.0.22.1.20040301150758.023df338!at!mbox.uni-stuttgart.de> X-Sender: itbptr!at!itb.uni-stuttgart.de@mbox.uni-stuttgart.de X-Mailer: QUALCOMM Windows Eudora Version 6.0.0.22 Date: Mon, 01 Mar 2004 15:23:03 +0100 To: chemistry!at!ccl.net From: Peter Trodler Subject: crystal structure by SwissPdbViewer Mime-Version: 1.0 Content-Type: text/plain; charset="us-ascii"; format=flowed X-Spam-Status: No, hits=0.0 required=7.0 tests=none autolearn=no version=2.61 X-Spam-Checker-Version: SpamAssassin 2.61 (1.212.2.1-2003-12-09-exp) on servernd.ccl.net Hello CCL members, we calculated the crystal structure of a protein using the pdb-file and the space group of the protein by SwissPDBViewer (DeepView) and the program worked very well. But now we want to calculate the crystal structure of a dimer. We calculated the crystal structure by using an asymetric unit cell with both proteins, because we think the space group refers to the combination of the two proteins ( and we would get two different crystal structures using one protein in the asynetric unit cell). In the resulted crystal structure there is a lot of space between the proteins thats not possible in a crystal structure. Is it possible to calculate this crystal structure in Deep View ? Are there in adjustments in the programm necessary to calculate such crystal structures ? Best regards Peter From chemistry-request@ccl.net Mon Mar 1 09:49:40 2004 Received: from smtpgw.sud-chemieinc.com ([208.23.162.5]) by server.ccl.net (8.12.8/8.12.8) with ESMTP id i21Endd4026688 for >ccl.net>; Mon, 1 Mar 2004 09:49:39 -0500 Received: from localhost (smtpgw.sud-chemieinc.com [127.0.0.1]) by localhost.sud-chemieinc.com (Postfix) with ESMTP id 1F4C748535 for >ccl.net>; Mon, 1 Mar 2004 09:40:56 -0500 (EST) Received: from smtpgw.sud-chemieinc.com ([127.0.0.1]) by localhost (smtpgw.sud-chemieinc.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 13474-02 for >ccl.net>; Mon, 1 Mar 2004 09:40:55 -0500 (EST) Received: from srvkyem1.americas.sc-world.com (srvkyem1.americas.sc-world.com [10.16.100.68]) by smtpgw.sud-chemieinc.com (Postfix) with ESMTP id 2FEE9483AA for >ccl.net>; Mon, 1 Mar 2004 09:40:55 -0500 (EST) X-MimeOLE: Produced By Microsoft Exchange V6.0.6487.1 content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----_=_NextPart_001_01C3FF9C.77E6D165" Subject: how to do NICS calculations? Date: Mon, 1 Mar 2004 09:49:58 -0500 Message-ID: <9DD56492790889439F731F5BD6DACA0047FCFC<>srvkyem1.americas.sc-world.com> X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: how to do NICS calculations? Thread-Index: AcP/nHfKUSNO3QGbTeO5unqh7U1SQQ== From: "Shobe, David" >sud-chemieinc.com> To: "CCL computational chemistry list (E-mail)" >ccl.net> X-Spam-Status: No, hits=0.5 required=7.0 tests=HTML_20_30,HTML_MESSAGE autolearn=no version=2.61 X-Spam-Checker-Version: SpamAssassin 2.61 (1.212.2.1-2003-12-09-exp) on servernd.ccl.net This is a multi-part message in MIME format. ------_=_NextPart_001_01C3FF9C.77E6D165 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable How, exactly, does one do a NICS calculation, using G98W? =20 It's not that difficult to find the points to place the ghost atoms: = NICS(0) is calculated at the "nonmassweighted center" of the ring which = is simply the median of the x, y, and z coordinates of the atoms in the = ring. NICS(1) is also easy if the molecule is perfectly planar, = although there is the question of "1 Angstrom in which direction?" if = the plane of symmetry is not present. But there are other questions I need answers to. First, the question of = basis set. Does a level of theory which reproduces the electron density = adequately necessarily reproduce the ring current adequately? What size = basis set is generally needed for good NICS values? Then, how do I obtain NICS values from the G98W output? I took the = following example from the Gaussian online manual, only changing "C" to = "Bq". Is NICS really -57.7345 for this example? That seems = unrealistically high compared to literature values, but then again the = NICS would normally be calculated at points with much lower electron = density. 1 Bq Isotropic =3D 57.7345 Anisotropy =3D 194.4092=20 XX=3D 48.4143 YX=3D .0000 ZX=3D .0000=20 XY=3D .0000 YY=3D -62.5514 ZY=3D .0000=20 XZ=3D .0000 YZ=3D .0000 ZZ=3D 187.3406=20 --David Shobe, Ph.D., M.L.S. S=FCd-Chemie, Inc. phone (502) 634-7409 fax (502) 634-7724 Don't bother flaming me: I'm behind a firewall. ------_=_NextPart_001_01C3FF9C.77E6D165 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable how to do NICS calculations?

How, exactly, does one do a NICS = calculation, using G98W? 

It's not that difficult to find the = points to place the ghost atoms: NICS(0) is calculated at the = "nonmassweighted center" of the ring which is simply the = median of the x, y, and z coordinates of the atoms in the ring.  = NICS(1) is also easy if the molecule is perfectly planar, although there = is the question of "1 Angstrom in which direction?" if the = plane of symmetry is not present.

But there are other questions I need = answers to.  First, the question of basis set.  Does a level = of theory which reproduces the electron density adequately necessarily = reproduce the ring current adequately?  What size basis set is = generally needed for good NICS values?

Then, how do I obtain NICS values from = the G98W output?  I took the following example from the Gaussian = online manual, only changing "C" to "Bq".  Is = NICS really -57.7345 for this example?  That seems unrealistically = high compared to literature values, but then again the NICS would = normally be calculated at points with much lower electron = density.


 1  = Bq    Isotropic =3D    = 57.7345    Anisotropy =3D  194.4092
   XX=3D     48.4143   = YX=3D      .0000    = ZX=3D      .0000
   XY=3D       .0000   = YY=3D   -62.5514    = ZY=3D      .0000
   XZ=3D       .0000   = YZ=3D      .0000    = ZZ=3D   187.3406
--David Shobe, Ph.D., M.L.S.
S=FCd-Chemie, Inc.
phone (502) 634-7409
fax (502) 634-7724

Don't bother flaming me: I'm behind a = firewall.


------_=_NextPart_001_01C3FF9C.77E6D165-- From chemistry-request@ccl.net Mon Mar 1 11:18:16 2004 Received: from smtpgw.sud-chemieinc.com ([208.23.162.5]) by server.ccl.net (8.12.8/8.12.8) with ESMTP id i21GIEd4030807 for >ccl.net>; Mon, 1 Mar 2004 11:18:14 -0500 Received: from localhost (smtpgw.sud-chemieinc.com [127.0.0.1]) by localhost.sud-chemieinc.com (Postfix) with ESMTP id 03798482C8; Mon, 1 Mar 2004 11:09:34 -0500 (EST) Received: from smtpgw.sud-chemieinc.com ([127.0.0.1]) by localhost (smtpgw.sud-chemieinc.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 30452-01; Mon, 1 Mar 2004 11:09:33 -0500 (EST) Received: from srvkyem1.americas.sc-world.com (srvkyem1.americas.sc-world.com [10.16.100.68]) by smtpgw.sud-chemieinc.com (Postfix) with ESMTP id 40B4C4827F; Mon, 1 Mar 2004 11:09:33 -0500 (EST) X-MimeOLE: Produced By Microsoft Exchange V6.0.6487.1 content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: multipart/related; type="multipart/alternative"; boundary="----_=_NextPart_001_01C3FFA8.D9B33649" Subject: RE: Some questions about intermolecular hydrogen bonding. Date: Mon, 1 Mar 2004 11:18:36 -0500 Message-ID: <9DD56492790889439F731F5BD6DACA0001418107<>srvkyem1.americas.sc-world.com> X-MS-Has-Attach: yes X-MS-TNEF-Correlator: Thread-Topic: Some questions about intermolecular hydrogen bonding. Thread-Index: AcP/beh3tFzE7ok9THS+JEgb0s07GQAOVxlQ From: "Shobe, David" >sud-chemieinc.com> To: "Yung-fou Chen" >alumni.ccu.edu.tw>, "CCL computational chemistry list (E-mail)" >ccl.net> X-Spam-Status: No, hits=0.8 required=7.0 tests=CLICK_BELOW,HTML_40_50, HTML_FONT_BIG,HTML_LINK_CLICK_HERE,HTML_MESSAGE,HTML_TAG_EXISTS_TBODY autolearn=no version=2.61 X-Spam-Checker-Version: SpamAssassin 2.61 (1.212.2.1-2003-12-09-exp) on servernd.ccl.net This is a multi-part message in MIME format. ------_=_NextPart_001_01C3FFA8.D9B33649 Content-Type: multipart/alternative; boundary="----_=_NextPart_002_01C3FFA8.D9B33649" ------_=_NextPart_002_01C3FFA8.D9B33649 Content-Type: text/plain; charset="big5" Content-Transfer-Encoding: quoted-printable Chris, =20 To build a hydrogen-bonded intermolecular complex: =20 One of the buttons in Gaussview allows one to increase the valence of = the selected atom. If you do this with a hydrogen atom, you will get an = "HH" group. Change the "outer" H of the recipient atom of the hydrogen = bond (usually N or O), and build the second molecule from there. =20 --David Shobe, Ph.D., M.L.S.=20 Sud-Chemie, Inc.=20 phone (502) 634-7409=20 fax (502) 634-7724=20 Don't bother flaming me: I'm behind a firewall.=20 -----Original Message----- From: Computational Chemistry List [mailto:chemistry-request<>ccl.net]On = Behalf Of Yung-fou Chen Sent: Sunday, February 29, 2004 4:41 PM To: chemistry<>ccl.net Subject: CCL:Some questions about intermolecular hydrogen bonding. =20 Dear Computational Chemist. =20 I am a new use to Gaussian 03 and I need to something with = intermolecular hydrogen bonding study (the cooperaivity, bond length and = interaction enthalpies) by DFT B3LYP D95**. I can construct the = molecules (dimer, trimer or tetramer and so on ) by Gaussview, but How = can I input the structure and construct the Z-matrix for more than one = molecules? Or Where I might be able to find some information about it.=20 =20 I am new so if I ask some weird questions, please forgive me. =20 Chris =20 Philippians 3:13 to 14=20 I don't regard myself as yet having laid hold, but one thing I do. = Forgetting the things which are behind, and stretching forward to the = things which are before, press on toward the goal to the prize of the = high calling of God in Christ Jesus. =20 =09 ____________________________________________________ = IncrediMail - Email has finally evolved - = Click Here ------_=_NextPart_002_01C3FFA8.D9B33649 Content-Type: text/html; charset="big5" Content-Transfer-Encoding: quoted-printable
Chris,
 
To = build a=20 hydrogen-bonded intermolecular complex:
 
One of = the buttons=20 in Gaussview allows one to increase the valence of the selected = atom.  If=20 you do this with a hydrogen atom, you will get an "HH" group.  = Change the=20 "outer" H of the recipient atom of the hydrogen bond (usually N or O), = and build=20 the second molecule from there.
 

--David Shobe, Ph.D., M.L.S. =
Süd-Chemie, Inc.
phone=20 (502) 634-7409
fax (502) = 634-7724

Don't bother flaming me: I'm behind a=20 firewall.

-----Original Message-----
From: Computational = Chemistry List=20 [mailto:chemistry-request<>ccl.net]On Behalf Of Yung-fou=20 Chen
Sent: Sunday, February 29, 2004 4:41 PM
To:=20 chemistry<>ccl.net
Subject: CCL:Some questions about = intermolecular=20 hydrogen bonding.

 
Dear Computational Chemist.
 
I am a new use to Gaussian 03 and I need to something with=20 intermolecular hydrogen bonding study (the cooperaivity, bond = length and=20 interaction enthalpies) by DFT B3LYP D95**. I can construct the=20 molecules (dimer, trimer or tetramer and so on ) by Gaussview, = but How=20 can I input the structure and construct the Z-matrix for more = than one=20 molecules? Or Where I might be able to find some information = about=20 it. 
 
I am new so if I ask some weird questions, please forgive = me.
 
Chris
 
Philippians=20 3:13 to 14
I don't regard myself = as yet having=20 laid hold, but one thing I do. Forgetting the things which are = behind,=20 and stretching forward to the things which are before, press on = toward=20 the goal to the prize of the high calling of God in Christ=20 Jesus.

 
____________________________________________________
 =20 IncrediMail - Email has finally evolved - Click=20 = Here
------_=_NextPart_002_01C3FFA8.D9B33649-- ------_=_NextPart_001_01C3FFA8.D9B33649 Content-Type: image/gif; name="14_a_phone.gif" Content-Transfer-Encoding: base64 Content-ID: <653170716@01032004-29f0> Content-Description: 14_a_phone.gif Content-Location: 14_a_phone.gif R0lGODlhIAAUANUAAP+7DP95AP+zInqje3qMVv+iAP+nIv/OLP/WM/+qAf90AP/FF/+UJf9sACJm ff/LIf+8Ff+aAHqedf/zZiJbb/+GAP+2Bf+uHv+uGP+ZBf+WAP+dAP+MAP/bPv99AP9WAP+BALbV 6v///zeMxf/4bCJpgf/qWP+1Hf/PI+S3I//6dP+cI/+RFv/HIf/DO//VUf/bM+Trd+TSTP+pUf+3 SP+wU/+3FeRxAP/dcHqUXv/jSP9nAHpnNv/rU/+RAAAAACH5BAEAAD8ALAAAAAAgABQAAAauwJ9w SCwaj8ikcslsOp/QqHRKrQpdicIFcxIItpdCwRB9ATRCBXEnjERW0AeAJQzQajPGRyiIBKALGw1C EAgHLRBqPxkcik4WFXs/MhIODgQ3aQ2SUxIjISEjPFZDJCUhIiIhFAykP6aoqhQepCYkA5+hBCAg VTgmKjGVDjkpfrRSNg86ExM9OjAPFgUaDX9RCQAHHR0IKAsWCRsbHINRHD4aGRkaFRUeAfEB5kdB ADs= ------_=_NextPart_001_01C3FFA8.D9B33649 Content-Type: image/gif; name="41_b_letter.gif" Content-Transfer-Encoding: base64 Content-ID: <653170716@01032004-29f7> Content-Description: 41_b_letter.gif Content-Location: 41_b_letter.gif R0lGODlhIAAUALMAAPX76/Tuw+zYjf//9PHETKiWTO7Te+7Qc+KlF+rgpaumeOfqxOrw1uzls7Sw gv///yH5BAEAAA8ALAAAAAAgABQAAASI8MlJq704602J/2AYcsVgnmh6EmSBqLBJDKxWGIIbozO9 FQfBIveK9Xy2IAAw1KWOsp8BYGIkFE7a4cCTBk6MhgOLOB4MBmTm9j0dGokxDF3DsKkD7iDQhgHq FzcJX3o7fAEeSYOFKocfHA83jCeOiZASQH17fI+XFGyHiJaeFaCdpIGnqKuXEQA7 ------_=_NextPart_001_01C3FFA8.D9B33649 Content-Type: image/gif; name="47_g_letter.gif" Content-Transfer-Encoding: base64 Content-ID: <653170716@01032004-29fe> Content-Description: 47_g_letter.gif Content-Location: 47_g_letter.gif R0lGODlhFgARAJEAALXn8w08UwMDAgAAACH5BAEAAAMALAAAAAAWABEAAAI+nI+py+0Po5x0hIvz bRf4DwYCEwAl+AnAuJwnqK7k967pTHuxjpurumMpXCibrOUr2oSJjlLHTAim1Oo0UQAAOw== ------_=_NextPart_001_01C3FFA8.D9B33649 Content-Type: image/gif; name="IMSTP.gif" Content-Transfer-Encoding: base64 Content-ID: <653170716@01032004-2a05> Content-Description: IMSTP.gif Content-Location: IMSTP.gif R0lGODlhFAAPALMIAP9gAM9gAM8vAM9gL/+QL5AvAGAvAP9gL////wAAAAAAAAAAAAAAAAAAAAAA AAAAACH/C05FVFNDQVBFMi4wAwEAAAAh+QQJFAAIACwAAAAAFAAPAAAEVRDJSaudJuudrxlEKI6B URlCUYyjKpgYAKSgOBSCDEuGDKgrAtC3Q/R+hkPJEDgYCjpKr5A8WK9OaPFZwHoPqm3366VKyeRt E30tVVRscMHDqV/u+AgAIfkEBWQACAAsAAAAABQADwAABBIQyUmrvTjrzbv/YCiOZGmeaAQAIfkE CRQACAAsAgABABAADQAABEoQIUOrpXIOwrsPxiQUheeRAgUA49YNhbCqK1kS9grQhXGAhsDBUJgZ AL2Dcqkk7ogFpvRAokSn0p4PO6UIuUsQggSmFjKXdAgRAQAh+QQFCgAIACwAAAAAFAAPAAAEEhDJ Sau9OOvNu/9gKI5kaZ5oBAAh+QQJFAAIACwCAAEAEAANAAAEShAhQ6ulcg7Cuw/GJBSF55ECBQDj 1g2FsKorWRL2CtCFcYCGwMFQmBkAvYNyqSTuiAWm9ECiRKfSng87pQi5SxCCBKYWMpd0CBEBACH5 BAVkAAgALAAAAAAUAA8AAAQSEMlJq7046827/2AojmRpnmgEADs= ------_=_NextPart_001_01C3FFA8.D9B33649 Content-Type: Image/jpeg; name="clean_sea_3.jpg" Content-Transfer-Encoding: base64 Content-ID: <653170716@01032004-2a0c> Content-Description: clean_sea_3.jpg Content-Location: clean_sea_3.jpg /9j/4AAQSkZJRgABAgAAZABkAAD/7AARRHVja3kAAQAEAAAALQAA/+4AIUFkb2JlAGTAAAAAAQMA EAMDBgkAACy+AABCcQAAk3L/2wCEAAoHBwcIBwoICAoOCQgJDhENCgoNERQQEBEQEBQTDxEQEBEP ExMXFxkXFxMeHiAgHh4sKysrLDExMTExMTExMTEBCwkJCwwLDQsLDREODg4RFA4ODg4UFxAQERAQ Fx4WExMTExYeGx0ZGRkdGyEhHh4hISkpKCkpMTExMTExMTExMf/CABEIAekC6wMBIgACEQEDEQH/ xADoAAADAQEBAQEAAAAAAAAAAAABAgMABAUGBwEBAQEBAQEAAAAAAAAAAAAAAAECAwQFEAACAgED AwMEAwEBAQAAAAAAARECEhAhAyATBDAxIkBQQQUyFBUjYEIRAAEDAgQDBgMGBQMEAwAAAAABESEx AhBBURJhMgMgMHGBoSKRwRNAULHRQgTw4VJiM/GiI2BwcoKQwhQSAAEDAQUFCQAAAAAAAAAAAAAB ITERECAwUJFgkEGBoUBwgFFx4QISMhMBAAICAgEEAQQDAQEBAAAAAQARITFBUWEQcYGRoSCxwdEw 8OHxQFD/2gAMAwEAAhEDEQAAAL7b7ny9iAKJ2V0sV0sW0iVM3hs+lQUYjrKSG1gyinyYdjaWK9PK mMdVhMFdLFdLVXSxXSxXSxXS0V0sV0tVdLRbRxbRxYSxbRJVltKpu2LzbqJyjqxynpJy7qxybpxy 7pFnPrqSDNUzYxHXywF1SOcUoYAxFbbGZXhmNsOLl9bsXxub6vyjxej0fQs8rj+oji/L0vHvnqHK 2VuvlaWyQyPC86nCtNTnZU09DoE+NaA5tyeVOktoarCWK6RK6d4nmhVdIFtHFtHFtHFtEFtHFtHF jAlu3j9rlqXS/Rw2j3pz1ynq0ci9erlbpeXjHWhyDpXWefWSo89ZbzCu2o9h0c9S3QJeWfYlnHPr jqRSsdAu25iNROaNWey7+vyejlfUlCnPR7eTplrOssUeZ6HJ0zxy9mfTPjD0vL6ZhC8O2Q6Cx356 KliTv4LtzvIOjj3Ilx0ygZie6NHPqzo0lh1zCrecs8wsGIBiK22BjgbEGxl9P1PK6vPvu6PO6eWu 5+R+euo8tc22m8OJxKcvLxdselDzt1z6Lxti0Vxmyndae0KZtjLSvOcbKwTl6R5qu47zrWxFF0eG rO/MemT4t7c9Od6dG2NUryIdkqvL5693Pqcvn9sO2PNn7nH0z59+r1pfD4/pvJs4mpPcfr8+0g83 t5+kWVF3FzFNSZlVbLZMUAmbWrmwmfCZsiZsLmwmcC5mVbKZem3BTnfRHB0Zr9HKJfXfyn531T5Z jo4Zc/XNJJuub2BxruPCMXuXkEd1eCub1pzBbbknqUTj6Nyk2aEKpTNJ6qVKtRLZGwvzuV1yak75 PWbY1VBSWbtMy42TKy1KQk2p0d/D189V4u1s68nw/svL78/md6HD6uKhtqY4xLM9TzOq7q2a1OV8 U7t7MXxOf6WFvz6ev53bEM41lQ+EzalD4TOBczS5wId4aLKgpxtGKCnUYO2KqmDtSVxQ41z06ay8 dgsU5jOiStU0lCq7UvlaV2BGrE5vfXzFxPU3lMejfy65vqU8+3O9z89ee7NOubJbTJcndy9M+PH0 fO9XGnpeO6fSdPgd3m7+lPl2Kvz/AL3mejl5ucenkQbS879HVnXL2Dq5aTn6Z5vHy+lPpB3cVMXv HPTnrl871ebtjz07+XriGfbymYUocC5sKTgK+AGAM2BjhcSAGksjZpYa4hnLY1ug9XPUFs2byw7e bU4Tk65eOTUww1A6kpWNc6oytLgRCqw1gbFkulJens4Lct+h0eb18enY/KeeurcxivHXn3mHPTm9 HJJUXphqSaXuvyW5dKef6HMectV9HJWDHR6Hn9XDreFNjU688NZ7Uk8MZpVBI1VUJuastwtW8eSn teVvEc+6ZnqATNhc2FD4UNgY5QHaMajHRBhYooty1YaPV6vO6eHXpnHjDxMnfmFbbygcC5gKSVNE pNOwOdYHC468xmCZsYDqYp0chl7z5+xfQbgJ2800oq23lcxibjUXnouk9NKG2sISQ7CXo6/PbG+n j6MvK6jpzIwCyYZdpQGGs7u4bY363FWvHr4a9UPTwnn2omYiZsIWwmbCh8qsDLQqM6wIsAJuVDAL z0pRtYoYUocCZsKHFKTgur52xBmsdpNibgYmZVjgE4GYwubC58LiRSSAMRM2E1CSLgXNhC2FJypm ICNADaxM4FzClz4TNhcSN18T42/NRdSefaygfChwi5wKGKpmCrnAMSLmwMwAGFLmwmYIubCB8qZh S5sLmwGDZ2Ts0SDIWzTALZlS2BmwAxhc2FLYXMRC2Fz4UPhGOgBtYhYky2VM+FDYQthM4Rc2FD4T OKQtlTOBC2EzgUPkQOKAbChwLmypnwgfCFsLmwM2RM6qubUocCZwKGwmcCZxahbCnGb22mmdGizK +c4gwpOuQSzKGhiJslJnwpbQuYiFsLnAucC5wLnAuZiWfCZsANhM4sTPhM4Vc2EzETNhcwsXNlTO EQPlQOSeqomfUmcCFsITgYkXNkTOFTOBM4FDYQPhQ4pM4EzhVxDWBzeZXl6KH2OF8NfX86ybpXWA 2LGJwRtCkG3YNGOK7e55/PXGH3TmuoSWoITOBM+pA+RA+pMwBmFLnEKHFLiwmcCh8JmwmbCZ8JmI gpiZYUuOFDYUOKXNhcSDEAxwuIBlysFFPpEfIpTTI2QDLhd7bNFleWjmnNu7ktzvrQ0eWkkydeYa XVcxDohwuc8/RnNeb0/TW49/lqe/SWMOyPPXF0XGpuLt0cPR0c9nnx9Y9Ofh70Kbx5Y7pazzii6w ofCB8IHWgy4Icyzza5UPhMwpcwFzFUbYTNkTPqQPhM2EzYXNhc2FWgJLbWxY6ttoE3FSFVt2XS5K khrJamIujRHltSfXyL1GvLS9Tbnvx5+vz9McVLCyyP0Y15HbStddfGHPXvnm6uPWaW5bBMz6Y0WT eNzs2s4200opyJ67eEc69yPDaI83qjePJp6cbOJ6apR6JWGbDWRglzTKyYHADAG2BtKqhHNjgYkU bAxwAdS5sDHADAAOEJFbVlKNtQD6EZcURVVZUGtSDLrRrO0X6efp43r6vHXnr6KXnvz11KWXVisP SeSgitteO0dYinRTcN5DnqkBDWX0RvPQebHUeVS8DqpNNY9uVjo6/POL2GAlKI287QFzfIQmeQZ5 VUphp4GpKsrT9jj49+AhPR56aeShmCujqtpaHVHoqSRoSA4G2ButfV8vrnwdUePbzx38Xt8SZhvm MBRBtjrHVhjtBGXvyzo2pdp25la5zF6JUzqzxTF6dyMdO5yUTRsdVfTNc5vO1ZIYlNQEiwYCiJsl EVKpRKRNgBWU6WaZwdAAZjohGkxGqs7LmpkGjqerGh6EaeP2PNp41vK9Pduflbp5PX4zk28VE8Uy 6U5VSonqrpEoJmVuhH8nr650jw9C9HHWL83ILALc/s8mr5kpr3m8rn8/f1+Xr4PRywG9PHMH1kNS mJLXEk8XEaoiZcAZtEx0zJarLE9Ty8Y7ljj3oE87eiE8/dwrjHULOY0Wxc+gZiTFsRN0EDsSFFpR QImc1POIQtqXxfc+Z8/o8no5+nyeyVuRspX8V6/RT5HL7/H9Hvm11j6ufx8eHf7QfMN24/S75ls6 +kr4FI9qnldO+a+VCXL08fzfueVx6c6++/Lp85voVl+fX33Or6D5VfRx7/F6Xz08Pq5fVzKezD0v Tx6bzr6uLKV3gLhnGweQFSjlFizwoW3OU6NyVOg8rydY5cdu4gd28509BvPEeluHJ3DiU9Dedj0t 52PQPm49Lebj0z5bnpbzXT0G81I9U+QD195YPWXzSeivBgcvbs9Pn/p46WXP6CyX5S2o4Lo8qGK8 lyW0SzaYaVOL0Dnpz0oNc/jI/Xpz9Xjr7XNrny8PtDOvF+c+6eb+H+l9h2eH5L71V4enpnrn8B9N 31m/nu3rXtpLI3eBWXWUnYZwmoucjOxPWxI0aJGxOfWKQ3QDmpfHK3RiGtkgelSM+snI19ZDdGIp 0EgOhkgOhJZNcnOejENfJEXaIC7HOOknO1gRNyQ3RoiavENbETYpLWyzNDEy+E1TETTVHWxHWBHX ERaytS1QSFskdVznFwRW4Xlj1c/TpFWXr0ALIrUpjnz0u2Mc56DJz0oVkOgpAdOWJqSC9AIr1Y5m 6FTmPSTmNskNcLJegJz0oCQ6ATFsQLmgtBCE4wdQY4V1KbEGbIrbBCQVDISqgQ7Tw5nooZMPpkrp qVygoZEqsitTHJQz0tQoWhkpXI5iFkabTtlzdXN16c6unXpnR0q078uTPKmcl5mCQwrLkZkw2RYp gbdlyMDjZQNkNYzyVVHibgUwxFIYnmFEbRsVGZdRAMZk1EZjOFhlYAIoIy6CDlZWyKyuAMqnAmZA MVVKo2lDgKUYDmeKbKM0sbbD5cEaK6DT67kpHTpmV0pWVOXK+U4zhNbOpZvBYKM0egnmQIIGabCi iADERwtOq2kVLIKM1BatEswpSXhA6UHSgudYmKNSZ1AW0ItNSlmgFMFTlzhTbURVphS8YYFlnqqA lU2BVRqKuGpHVpGRmVAVRjJlOdQTYWxlafTclYdOmdGStI25ci+bGWWkoBJpWLyIldbPMEDu0sQ8 rKMloiLCzMiS1VXJthTFdDhRYTPphAVDNmrK84cUkbZjZdVZ4QwbAbUJo7EjsWg6GYOo2AjrQUbA S4FVlFJw6FlmrAKsoSwAMhVQALUkgy2xSsum5Yr06Gk6SOc/Pk1ZHGaGRGdKQBRiVYkZCpY8vQmF YS0moprzKFGxgEqmTJnR4xYk9TAE9RKdMczNqzJ0RMskHKtNlqqqcmwpCEkVkUtplcHSscYnRSPJ lVlAp35ayOhCq2SnyvBlRhQsCo2p8RCpjQVltSNE6bkrL06FlZKUi/LldotnNjK+R0wLWRsroUlz UmK4ULK5O8wbIGbpQCZkA+ClpOPJsgfpWXm1lR1gKsgcGoozSaKSBHEpnSpoSFecrka04AoJrI+J tKMYVhlhqMAtNDWLKZ2QTM4s7qsMzWSvhCLRBkwpjgGG1s5Xl06SVl6bxzI1ZnlysdbGJrSsc9HJ yNYWm2XJNOlNWYi81sc7mVELkxS4ueBanIyXEqrI1kKS6NWTRByBXyVRskorHU4XFRPSVmUWqxqI 15CMUHUMAjU9eZpaKREx2QEm1K517GIFyDMIjPpauU1W2m5THXyEGsqRPVFIldXKnRHr0kGXpvMC lXSnLm6scY1JVRldsuIda6K2tHNncWxnKxkUZa4g4nXVOQUgrY/QnRlGNJ2adbHmdjdK85o0nOtF M7861RJl9KoNSkkaFlpExVpOtjlDaxRYyBma6LredBmxLbUBkFK5qZ1aF1GFpMyqlOeysmwJVBod sl5mvqUBSmVVpyGXTahl67zo6WK05csy3xgoyyh5TqxV4bn6gQoEourxqzyHPOJtPWdORVZbA1Ia LTXUWhZEVlH6lObpmVM0TRZQXhOsEIbNZJL0UScXEMuqcM0KwnL06uLrah18Kwzbd3m9FjCT1ksY 5KtPTXigddIDzMRbG3bt44V5slObrmvGKJTNCy8m7I9d84I67zKUesn58+uZbnmSo9bXSRehVjop FVVVSw0HVHN0Iy5pIbqkEqoiXWa0LAk65JNRVtqJrF9yWHnbQVMLXMylTDphWOILedVlRYNUidXP KlUflKmVaVOqpFKc3MelGVA9nnvHTLc5crMLiddNJLL08bIjnne15tEHRzWIS7OSm6OZItNaWmW3 TUwy9N4jUy5s5qZbMqJFF2YrpiOhYMWUEbSK10GqzczRTRFWpztF1hjoPMUtXjc6G5jL08mFNFxV qc2igQI9I46YBVrfjqNpyO4cTHdKIjoSbgaQss0CtFmCqpjoHOydAhl605idaS0VSS1SkGKvxUKt EFzzKV0hV5oVrPGDkwVUapG27tsbbGZdBBBtsErg4YxGCNjEEJXBy4LIQ5cMBglcMVwwGNhglcNl ISoCQBspNtg4AbKQlQPlxtsHDBy4dRh12MyEbKBgMNlw2XBxAcuDhg4YOGCNjbattl//2gAIAQIA AQUB+vkkkkkkknSSSevKBXHcVyUQPqS9ezGySSSSSdFo2SST1NaPRGTE+n26J9RjRGsCqY9UCXS+ pMQrDuVto0L14IIMTEVdYIIIII6no+qBklLk9MkMyYrifoR6M9EdOJiYkdCFA6yOpBTVsb0THomJ +pJOjei0j0WhoggQtWiur0gggjWWK0+pA0Kol6kGJiR6LQupnsJ/bmhf+Jn7W20T6CsT9mZub6yS PkMyWTYmxLbzM0ZL69kkmSJWjaMdt+vAxMjIlm/0c9bGYmPStUtII6IN/QcIXJv6V7lbQVsnq7QL okekEEfRuyQ7TpW8CafW9i15NtE4K8kluSCSvobaSSiUZEkk9Ekkok2NjbS6UbjkhixRmK9sszuH cMy12NtjTIZuS1WWxFfVgg3IIIZBDIZBBDIZBA6kM3NyCCNY0xIIZDN4aZuIr9vX29av7YtX9sWr +2LV/bFq/ti1f2xfb1q/rWR6y1fox6EevHTGr6F0QQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQ QQQQQQQR9x//2gAIAQMAAQUB+4wQQR9wZH0y6ZJJ+kggj6WSSfp0QNehBH0UejJJPSxiYmSPWNY1 ZH1qZJIx9D1Wkk9TXrT6skkk9M9E9a+0z1pj/wDDx9tS64IHX7RsQQQQbmBgQjGo1UhIwMGYvqj6 qCCDcgUmRt15EmJiQjb6hdEk9E9D+gSkfHt6VKDSZasa1rJHXP0qq2KsaWpI011pSVpGrUluOCvH o+iSSSSSSeqSUSSSiSSSSSSTjvvImjJD3MR0rjijtnbIRSlY2RKJRKITfxQ2hv6xWgbnWSSdctFy qMkZIzRmpreqG0O6Zkvt61f2xav7YtX9sWr+2LV/bFq/ti1f2xav0Y+zP7jHVGkelBBGkfVQQQQQ RpBBBBBBBBBBBBBGkEEEEEEEaQQQQRpH3X//2gAIAQEAAQUB6Z+mgj6qfRgggggggggggggjpggg j1YLSSSSSSSSZCZGiMTEaHo2STokJDRdQSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSJCqKpgYGBiYmB gYGBiYmJiYjWkGJiYmJBBHpQQckRhaf67L1dBSzj43Y/rbX4r0ZVlbSWExFnrO9kTBJVlUJDZd1Z JJkSSSSSTpJJJJJJJJJJJJJJkSSSScVBV3rQVDAwMDAwMTAwMDExMTEaLaJQVTMTExMSBogjrWiW 2Evj4kYI8nibrwcVca8KMDl4latvG5EKjRLTyKjbFI7wKyY2kZOcUyygo9/xmi9x7lieqdEy3RJO k6zpOk6TpxVytWu1aiQiCCCCCCOhkobG2e4qwKSqEtGQNDQ0Mb65K2ZWyK2FZMbZWqmqGMdUzl4o b4Ey3jVIdS1x32bb0bYtjIcs41Dq01yS7Jst7EENdSJRkRJDI9fgUCK3QmSZE9LHYdzvD8g7hmxF lo3vVi6GxsbLWJ9DcTKO57Cq2dspcmRlpi02IGi9EclN3ihkNntonpuUkfGcixdiB6JmxCGiNY0b 6Y9PjZlukVZkjJCZJJJkWuX5d73YrChulCBMYzEU6SSWsZl7jvI/QgSMUViIKi2Gt62SNmYjoOtk NosXhj4DtOFQ7WR/VRg04MdqfEnbm/ifiNIEOYI6I64I61UxkooSSRmoz3d7TW4rIyMh3OTmgfI2 WsSYyKilMyM0ZiYtLWgzHyF+QVpHuRpHWipsIyMhWPcaJsnWzet67P2VHLrBekLg4pdeKqL0L1S0 kzgXKjkvL2I1UasgxfrxrJkZMycVknTLfKDuqFyo7kl3JMDYir2bMtstExXMzujtkQyz23le06ST ouhCEiOioraMTaO4x3ZkNIWxeCyk41BUaktw1b5PGq68nG6voRaNffSRblaqO1WOxu/HY/GsW47V MGR6MdCWkmRkZmTYzIyMj31kdiSWVezZuRcWklmIYizG+pCRVC0ZUTWqkSkxMSCDdDsZNmZS9Yrb SBo5+BWV/HabTTIIHvpjsKjO2dvbJ1FyM47JlUjEvSR8e1qw49NLSepv0YFUiCCtJLKCBsbIEWYr QO2kiYuhMqyUSNpiKsyRItJ1Yy9S1obsU5IOLlTK8kisNj3OWvx5f5aIxIIaK0lV40h0rDqkXomY MoVcJMZybF0QNfUwxIVdEmxUIxHuNIsiI1fQtF0SZGZm0dxiudwT2TE9EJLRodSykvxItVpibRx8 hXkFc7ha5y0q+j3XHVN9srWLEjRA0KhujIyLbjqOu2Pqx6KqMqhmwiClRJDMNnBaC2xlA7dSF6KE VYhMTESTo2XLWZa0liBMV2it5JHWS8ofvotjje6Wj2JE0z8tLokkYyyk7UluLZ1a+iVSDYbPcgkq yrQhwWscnIyfRQvSqJw8ytxWMjIyMx2L7lrDZv0V2U7yXQ10L2VytpGh7GZmZbZDuzMT0kb2q4at vX3vxJp1h+utHpHQiloFYfIi/LI3PprrjpQrFeQ7qO4hXM4HctyEvWCD20TMhuelPaTjs5zRaGOu k6ySSydUUjTl4pGvoFpHUmZEt/XZMyJ+gggq4J3kfs16dHvW0D3XJXf15+8x0yT6qZntcesawR9X BH1kawR0x9JP/jI9KNY+qjqjpj66PTj7RH1KFUxF6cdMdUdMdEEEfekJmT6VoqmA6NEdcelA1pHT Hox6sEEaR9eitZXavo4E9VpLJNjbpggjWNII1jpj6aFpGkav69e/HbFrm8eL8Cs7cVkYtPojXEXt J7ElOV8dqvx7U5sG/Wj04+kjqgjolm58iGfI+RlYzZmZmZkyelCJFyXOKzudrjZbhpVPjzd+O1Lb EEawOo6tCyntcjSXJVcXBy5Vq2v6VW7eFeaeJRVr43ClbxIdPEfc5u1S1uFzfjtT1Y9aCI+hlDxE 10tjtp8T4kVNjbpQqoxqQUFyQO7bd7J928KZ7V4iG2TAuO7XY5mU473fHw8dK9ujO3SokkO9ULlS H5NEPyKsXNQ7iZmk7qt3WvGXqnX+rZn9MvwWq1x3a9CSWQxpfQRpHpwQbEVMUQQYmCMCKkIxRC6l Gm5VoUNV7ZyYVV/ckhxVZcbriOjng5ueirytuicJCTQ5HuRAx1R8SBvkQ+bmxpe6JuNwcXOnx5or eC/JkX47DTNxU5GsbFeKR8DMGjBRDMfpYI0j0IRBBBBizBnak7SO3UwQ6IdepIo6z2qWKcNVbBFq 1dey2n41h+NyC4vIq45U8bXS4eStnx8pzW5anF5lp/t8QrplrDsSNjsODBnbR+IRsi7+S5MbX5lY 4+SzSshcqY672VSzMkO472ZNidPcaYn6LVit0+qemfTdLquuTQ3Ou+uI9amBTj2qVZ7kj5EO1WSh OrSfyyYrDuWVbD4uObPkO/5FSnNa6lFrIyMiTIkyJLVlKaO3LVjdDGp+Fxbtt1pV2b42OsG/TLkd oaunpJKHdI7ldFS1kYISj0oR+Gm1jc+Qp6eLjY6s5eDHrgiRIsoWiFYryIXIh2M3P9lRVq5giKjZ Jkhi30taDIyFadPy7DtJJJJkZGVjJje2xsTBJ3DuOKXtVdyzHkZOo+ZCuZMyMkZJkJnbqJDMtIKc bsVolTk4cyLkWRlYyZlv7kabm5v6VaJqtaKtobwTL8WShEdKrBBdMeqEbksUlUVuqiuZoyRmhtHc cdxmbHYkyRmbkaOyJIjokZL0xcH4YtFayMrMlkIjWDdla3a+ae+kjukcVchbGW2xyUrcaa12Zt0z rJJPRTjc1vRO3LxszoivLVjshtcrckklauwkjaLXaHyT0ITE1psJnwI4xwSjJGSMh2RKJqVwE+NG VSTuIsLZzUs5NiSRPTcTQrKpZzqtiakkkmSO4jNTK0rBlA7yNmRWtrleDC3yMnDV8FkNNl1krePe HK6JNiSdJ6U6C5PGxvzcFKx4lheP4thcPBYw46Pu8Ef2uBHHz+NyK9/Hd7+f43jD/ffrD/T48r/t tv7XDyLvJmRPTLJZkZGRmzIyZmzNmTJJJ0kyek+vsRpPqJ2q/wBj+x8nx6+P5H7/AM18lv33DWn7 X91xlv2n7Gw/3P7Kt1+2/Ys7kNe6tNHkq8Ne5ZQ3Sy5FS1b3Tq+WV3bWVXhZ2r8jtWOXldKc3k8t qeT5NHwW5bclbJN4mJBiYn6jh47eO35Lv5nLzU5f63Le2XLS1G3XilHHJXWBcaFwydg7LOzyi4bn YR2DsD4WLhUdk7PGPhFwqOzQXDxHZ4BcHjHY4RcXiC4fFO14p2vGO1wHb4B8VB8VDtM7VztXOzyH a5Dtch2bHZZ2TtWO1Y7NjtXOzynZudrkOzyHZ5Ds8h2eU7HMdjlOxynn8H7C9/G87zOB3/befdVv 5fJVKxzeNz8nJx+J5fLfzF+x46Ly/wBg/I7v7DxuOvlef2eLz/2PG/H5P2yXHx/vjsfva2X+7x8t /P8A2T8jl83zuQ/0Oar4b+W13vMx8leZycdv2Xm15Of/AEfMOLxeaxX9dyMX6zkuf5nIz/PP6KR/ m2Rxf3PGtXn83kvy+V5L4Z/Y38fBs4fF5HXj8RlOForUjSSWZMyZmzuWO4x8kHcZ3DuWM7k3MrTn aW3CbNz5G5KZM6RYxsYMwsdu5FzHkZhc7fKYcx2/Int8x2uY7XMdnmOzynZ5Tt8hjc7XIdrkHS52 7Haszts7bO0x8Z5f9jj4r83NU4K34/DXJxJePzeNQ/X34q+NnxHBH9jnpx34fITdvh3OJNeQ+1Ph tLxdiVpyKluO9eC3Fw04LLxq1/q3vx8ar5nFyV8S9DjtyYfqn4tvFr/XXjfoOfxuDw/G8nwq3XJ4 64OK3jLw+R8Pkftefn8OnNTy+Hjv4N/Br41f6/Hx+M+P/N8Tls/G46qvFWq7+3TsZo3FdG5uOu+8 xviNbTp8ZklmwsSUZVK2RkSzKBcrO5Y7tjuWnO53WLkszJjvY7t2Llsd253HC5GdyxnYzuZs7lzu chnyE2M7k2MuQysSxO4+4zeMnUXKzuMys3NxWsZWMrE2JsTYmwm05sSzNkl/H4L1/rcDr/W4ivge NU/z/FP87w4/y/Cj/K8AX67wkPwvEZfxeDk4/wClQ4/GfHTi8OvDTg8Hj4B+NZi8CtB+N8u2kR0e 5L02NxSlWTceYhSbC3I0dTHbHZJmKYqqNEOhG5DZB+N5STI3hmJBGsEEMh6RpFhaPSOqGRrGi6d9 I0/HVAz2GtNzcbsNj6oPzG/yZ+Y23iGQQRZjqJMSZizFGJgYuxFiNoRAtx12xRGkMhEaQQiCCENE aNEGO2I6iqYDrBBijExGhUMUQYoxRiYogg2FoiCCN9iCNYWkIxHxmJAkYmJCRCIGhj6IEiEYoxWm O+DMUVpWHVGKMTEVTAhDTEpboYmLMUYqqxsKjHUxkSMTExZgyJHUVUjFGKRsQQb6xrsiIN9dzYnW ESiSUtMidMiUSnpJkStPzJKjoh67vSJPYcMsMfT+JMSIP5JVaRjJVQbaY7xpsJm06Q2Q9PYajSeh Imo2JSN7yolEqWS9J0g2JZ8dPwTt8tJhTYlm4idJPY9z21nTYkkklCsSyRNjkky3bZJWxMmSZJJL LIY9UJHuJH49hSTJshWFLJJQ403JRJJ7n5b2UoyFZDxI2bsbs2nck+RubnwMicmTokSZSTYUEksk UktGWw7Ek7ZDckwSjcdmhM2NxPclEzoxbjmTIW2nubQbm6IcSSfElyTBYY9USV3Ub/ESrpCJSHYV tmJoezlmRDeiVpgb3mx+JZ7k1JYmpmqN53PchHsfItsJpJG5BAlJEEm58iGIUDjRe06v22Mq6StM T8VyGZbSQQyNPkbnuKTcl6JoiRwTLSqxvc+RuiWWsxsfSvZEHxRse2nuJEQO1Zyk+ZuMmXMiaGqm LI2sxZENkJrE9j87pKpse46s+WilG6NiaE1hyQiCHKXXiyqTGoGjcTMkTU2aShw5+REmzNjFsWwk z2NmQzKCSdvctkKR5PSSdFCMme5DIZA+hG5WTIbP/rG84NiqkQ2orohkVJglkNmKPgQJo2Ruz3F7 wlp+CKmEGy02IcYkQbEIXsvZyRYgca+xtGyUsi45QoHBkO2kIiFsexjtlArMTUPBkDFLHkz8exJZ 1bjZo+RLG0JSPSN4Q9zFsc6PoQoNhMiSJGlGKIqbGwsUM3Q3yCbSyRMrEikPCHvpFVp82fNEWYoI RBLG6nuRY3FI7mTG7shR7H5dWKjHKe5+VJ+UhomxKINiuLccY3YSbMbGLGoUoTsLGdpbSIqytE3j iN1lOwrDekWbhwogVajojESPx8kbMRZmQ30IUCPiJ1ZkbG5ul7k103HdoVrMXIx5ts2NiHNrVZ8b CmoyIaqz5G7T9/y7JG47WE5rjQghis0Z3QnvatIaEyD3IYoJRJlVkJChioYm+kH5kTkdjuQKCBpE KcUzDdqDJk5J1RCY6QOCd7WtYrmzFxEDS03sRbR46NpNurIXQhCgWEfFkonaT5aKx3URtlInU2M6 o2ZKMmQhJFKqpKHWRKzIsbn/AEN57ZiRr8UbtwzGxuLOSTIyHeCruxoVVDqJpatVJxO5vsSyzNjY SU9ts+KfxElrkjJH40bQrMZ20YEEoTqZbtiYxs9x1Wj6UI+B8ROqeVULkO6ijFYmpJkJj5BOzK1s NVQ7JC5BfIWGkqMh4vSWPITZnchm41u2id8jZits2pUNCqhrSTJiZkNsy5D5IbrYxqLjGrCTEtx6 fl2UZJ6QjIy1VLNpQOTafykxNos0xe1pMJMNvYktZ6O0jvZjkiB9KlG0fEmh8SBQWxsY1TRubGNS apZIfM4XISz87JOm8mVkTYljrWMbIbZkjKDJju5ViGQ2VqyKIhkIZDJ2lNI+DWDhbDr8vdiyhmxK Mh2FBaGOjRsS4bEJ0ZFjESlSorCbsjCT5TuSzH4uWQTC9muRx/IdTFEVEbnxHjo+mSTEgq0JyQic R2TT3P4lbDeRFSTJkyNpktDtvmOwqrHcxZG0ubOBWklImwqVIoq/luBsysZwLFmKPy8mSxPfcbLu yO4Vvu7pn8hRZzBlR6Ru1Y3YmkP5KBImDKSYHdGaiam4mSxORNm42izbG4PjGFkPGfiW5IN2ogyL ttNOJZZtDH0QiuKG7ITMqy7SJjXxXtSjZ28WrfH2UipIq1RZosk0pMEQhtIzsKzJY60MRJEIZvU2 Mkdy0VdrHbTWLROyUiHKFI65CTh1vKTQns7M+UfFD3IhJSRRs2FeEjGq0mRJMt7jqKtiNHdHuKY3 myxdaO1bZz82lIivI6nxsXrdV7VTCytDZ8s3lCtFc7Mba6VpuKjMFGNDGrSpWMGk3eV3Crsk22Wo V2JbNxWyeNWvkXTRO2GRXhs1TjVS7qz3FY/+vm2vd4MhEVIITHa0VM0m65EOrSWP53FJJkSJuZht pmwkjGF2mRA0tPie5G2DYm05ErMbvEUYsZycwQiBYsbZXKorbQixEj2JLZmfIWveFy2QrMtKIQuO DFw4Q+hDbZXJGTFkQrjsqJWcWfIhPkRV3GpNjIV0TYytCSamg7JpcdrCrB3ITsomSYE5shNsbxtn BZs3ZRcuL2PYcCTJrLqN4rJmVLWiCJEkiLmO00PcdFEHbcYupm0YVMeREDxxwdhlnJ+DuOMk6t1Y miILIrRsjF12d+blY73sKljaGmYtn5VbwxQQz+K9xJjZs1aOlMUokdkQhS3WtW4R7GCIcvNGTI41 ZODadxU3rSjISO4K0i2e7cJkVRTtMfbofNJ8VpVKoXHxxxquT3MpITLrEq3Pbq6wPjtYVWKtk3u1 U+CSuiWNMt/N1MYNyGPY2beaMkO4sork7X4nUlMdLjbsYyOiyVJa43S2+WLnFRRombfKb/yq0nkp l5ZwXvWYGsRobbPjK93dMy6UKISkdVUUk8aHaCvJu7ncFy1azku7oTLbJWPz3ClWl3HL5JHaplUy qOuRarSrds3RKhzB+Ekh5IysibMndrfbWWhctx3ZDFsWSbxsKsG5X4kQOrrX4EUmJIZetIexlvw3 VG+SHfkcqu/GqVrbkTG/jE1eEJwW5JeW7vDxo3G6vAnV1xVivFKwwVf+l7fyfsXrDvfGt+R0Fyy5 dhzPTVSfOVaVxWUKGsasyhVkxsUrVF68aKyy3xMhciE5EnZVraqSaf8AziRK0N4pWyFWDKErVJRJ kMrV2HLHVTTt4XtSIRfZJoq97NzVNjKOopmyh0cJclJmjGpIsZXqR3FfivUiybSas8V/yn4wu0WX K327mbTte1184hJRepPxdXU7gmpiqENCaRuk6Kiz34+Pna5OPlSi0Ld8nZSvlidqUqJmMj49rKOm UUs0/wCZdvLJp51qoqxpla2sKkifHV2vYs70bSle9XVFbqc91yck96zKUqlVbPsIarPxLXqO/FlC MrWbV0m2Judj448UUJtlZ1ZlxHbVaO6i1aCr8dpiybUj4+Nj4tqxwjtS6rx2Y7JtYoSyMrVFuK9k WdruDYTR3PlN6p4CcOk2OFWqWtVv/oY/Jod0cePctWlbPjsjkva1cqiVRbKHWt6WhWVXelru9bSn J3MGuazObkVxO1SpbfpRVw8nOaZs2qbfFrNGciwomlYaaqnQs6CiU0qK7HNknCqUvZD5OQ70p7md hNluSsfHGqTSojdGSZd2bulUz2q1GIrVHWtRsTTO7iTSr7nGz4sslWuLqNzVYpL2tVEOrljaaygV 4MVZ0Ti1mmr7Liu1k6urqxsls48ZurC/k/iLcdkyqHd3PjNbOpZKE4ScDrxR2j4nHbjTvzXZihxN MMlfe2VhRLafTJMlcqjshvJey/Ke7sVu1Z3l5OO5aMYPYd2S2boyFfZuRGLlSyGbj2K2RMOZUmzN yw2JlL7vlrZGRsmrImsbSxWc5Nud03Kup7jMoPiy0Iy2JYrbO1qmWTztDJmmRW+Rm5VmqymZNl/b KjPaubmzVXWw7WZ3JMmZoysbDgVoMzOzWMkMlmTl9TsydkTo3L9hsiSBJEmRsSjYlMWxktN0ZMyc SSZGRLM9+6x2TMmPcyJJnSY0kk2JIRmOyjIyYnu7GTQrslEkwKw7KcjZmxJLG4MkSjITMiSYMiYF fbeVZmW5JKZJ7iJM2SiSWb+jPVPpTpOkkkk6zpJPTPROs9M6yST0SSSSTpOskkk9M6z/AOs//9oA CAECAgY/Ae/h/CO1r5S2x1EyZsShRO3NJAyWM3KxaxwIXQhSFOOgxW4zKO+Uzdnc0f/aAAgBAwIG PwHcfva2UvsdVcmfAe5UquLNkoSmM6sSSST1PcR0r6n6+Op+k1JQlNbJuO6Hlk8RZT6kHOpVypAs nXczf//aAAgBAQEGPwH/ALgcRiSSCaYcOzHZb7mdfuemPtQbPszXF07lEH7Ddy32Ph9hjCfsjdl3 7Pjjw7NX7Drg1uRJHeR9wMv2rhjA11SMI7me0+pw+6o+2t2H7iMK9huzP22Pvl1I+wv9mme8fFu5 n7O2E07mneR2aORUn7un7Or4R2oGXtPhQ0wbLtR/0IqYNkV72R88PH7qn7hjud2fct9xR92RjH2n gQn2+Pu58+/fsN/0W32Nxv8A4v6f9Opum0jPIe2MJ7psaOgnUVHY3WQi1J+/qYU7yo1wyzdqKo1v MptuSe5hJKMRRR/Q/wCW1F0FVLmTJD2q6DdRN1y+ngUfipCwe7kNttiOtT2JGgm7P7uqVK/ZYw9s C25LUb4DtBNSMHS1ZOUa1BkSdcGRGwapQh3KGhGG66o6RdoSsHtWCbiJ8BV29zTCv3DTtVKle7kd BHpqOiOh7aYwMqTqNdnRcGSbdCRV17iuDoMxJXCKnNi+FB8sJVjX7kp25xr3MpBCMg9UOVkQb4EH NBFyKhFyHN5HuSR0bboPaqJwEf2+B7ldu55io2OtuQ6IyGi6kqirhtRPcblQpjHagmvcx9n3LT7B BPZjDhg7OUKY8qDJa5w0Jpp3iQxJCjKpuS9XQZVGeEzK9vh3S7UdElfsFcJ7Oq6DWM2bj2U07mM8 yO4dys6HN2KGnYbtx2q9yvEbB1nGg7FCncTFoyQPZ7bs0GUr2Kle+muam6OF3yFSU4kyqSQjXJXt zHqO891Q9qNxJV+xVhsK9iMZIwnuH77wIjtbrotyQ0FfwNNBf6kopMY0791Vk01NroifxDEXMluZ XxZfge1JWOLkLLM/8hkZLkPDGYQzREKSUfua9xr2aJhV8K91JXupTsSQvYhH45D3JuXLRCg9zW2p r6Do2pDEs6HvtN1nuRaajLVO+99yWJqp7brbkRaIrq/kJferPrlmf5LFSrugqb0deMEXpOWaNkf5 Ee5HyRFynwL0XqbVtWEeFVMkLvf7vJlQ3W327aqlyoht6Vz3JzJkXfXVltVrc6o7sRfdc9PasC/r h7T/AIbbbpdUX1E2/qp9or9wPbcqcMiy/pr9RVdGuSHTQvTo9e+5pVEVLfgKnXtW7prdzXys+HgJ by20Vdoq/UsmvtFS3qW+3US1b7NqrJsTqXSsIvGI8RLJ3UbM+ok2T7soqblT2s78BHVbenn1ckXL cLtutu2qyspdtVEWxdtyKdSzciXdNc83F6W5EuttS74qxZ0nTd1HVP8A1FRVR0molsOqbknIZLrX mH0ViWRPERemlvUW6qOzZjr+zTrW7ttXLup0ugnRX/Gl9it/7M3qW2q6qlVVaj7dvDDP4lV+OPUv u/RduaJbxOrb0vp2/T6n00t2+GniXWr0+l+4uT9exZ4C7rE6G5HX2+1F0daC2JeqNBci3LLMVUr2 asc3oc/ocxkSrHP6HP6HP6EK57r2XRjmg/yL8E/Mi4m5X8DnX4E33/BDmv8AQV7uovwOe/0J+p8U Ju6ifArf6H6/Qhb/AEK3+hCr6HtuUrORVCqFUKoVQqVKnMhUqcyHOnwOb0Ob0Ob0Ob/ac3+05v8A ac3+05/9o+//AGlvR6dlvURLrlsvpk6oInR6FjXIyJxzucZehanDaqk2ptWrWq5yKvEuu+mqIvA2 dPpLdclf5i9a/pdNbLNj7L3WFehY/wC0W26+/wBm65kdqOL+1u/a71v3r7b35vA+gn7VV227Oank XJb+2Rbna50VaZC/Q6PsuV09seTlzWpbvV1faXXolr38zKmR9b6KX3MltEVGRXodLq9X9lYi9Pci Jsa33asLu/Y9C1L0S3P0N/8A+DpN07diyviW9RP2XRVFRVT3/wBS7hv/AMHR8fqFltvQs6TXJat9 l7vDKn5i3ft7LU6SWrZa3Ctx01v3e/2WKiNbc3uY3InsStzQPvRlpA9l6XcbUcVN6RWKD/VsbU/z WDXdRE4MX/t7P2/1Vv3JbcqLKRNpft6aWXdW57m/S0v6FvStTbai7rkSq/07l8C+1Oiq9K7mvzZJ YdH26jvHgPvQr2czM/UUU5VKKUOOEIUHVGwb1KnOhzocyHMhzORf5KcyHMVchVKkKQaIM+EIq+ZR fic3qc6nM5ztoc5znMpzKcynMpzepzepzepzHMcx/kQvvsWy+zNJ3NrAvRfov1lVuou72Nb8zfb1 ejRreku5bkTd8xN/7i3dmzt6l+7rpb/yXazxoLbd1Fsu+peu1bVoqwtD/L6KfuF3Klty27bmhYyL rLrlZf6UdT9vcj3beo9yolEaolyLduZU5YbxP3K+61LltW25Uhfa0F301WZu/wDJpqdK1VW1Wm1a oVOY5i6269LUVKqJ9S5Lbk2r0+N2h+9TqqlvT33zSdsHRWOS03Ki3J/Ym5fgW9Dq2dTo/s0vvW/9 xaj3Ki0sRqPmJZ1b/p/tXuub6d0w1qKuin7P29JETquzrCNdzRCF3T63UtS279xelycFVBbLL0uT o/UReCOrCfW6idO+zqKq2q7n7nf1rbd/TtZ9WV0Ogm9F2/uL1uTS2JOmq9Szcls25vvf8BuhenVS /pIlq20W5Fdi1b/3CWXW2rbtVFz4nWt6b7+pDqnth0V/Fyyy3rWbtu7qPXctXc6tn17LuZXt/uR2 Otbu973NaiaodHpr1egibLbVRUv3JlOTnXte1dnVVH8xE3WrttqkJ6nmvYqVxZpKMaphQl3P5kMf MkpJFMJRJKIfMlUIZSGbDQqviVx5l8BnucqvqO6p5j7rvic1xFy+JL3GhUqQStx+pSijIi/Ep6mm DuvhjA/yOaMIdSEu+BO74FfQ5nOY5jmOY5jmOY5ipUlcNt1lu2u3J9WEs2ItiUTJDlRHF/47UThB /jR1h5f8RvpW6w/5n+G19Z/MRfoWRwPb0enHAnp2F/SvbZfCsnqgqL1Fa6z6d0W8vi1S2y3rLtsR ki144sJbZ1FVLXVNyW5zoXJ0br7d929YRZXiqDb7l8bLfyFWzqX+5XVIZ/BjcvUVV8ivYqU9CvkP kfI0JxY0Jocpw9cJKxqapguRMkGqkmhn2tSUKt2Zjuax9wcMGx/AnCvcQM8D7ZKMa8CCjsSjIVx/ NCK40PmOpJJrguNMGpjQoUY+ZV/H7VQ0Ne1JXsT2XdU4YVx4Yak9xpxM3NB3cm0o5IsYSfywnCYP wOJ8sOGEo447Ep2aQammNCncZdjXtucDXtR3EwRTuaSVJKYOtR+41GhOxXsalZKlShLfiQUkpQyw qq4RGMuaE9mMaklBsch+xXsU7Fcfb2pIxoUjsaYTh+RmRJJXDQ0wbuqIcMeVU4vjwwzwqeBSSngV g/MhZKGh/I5jUhsJ9Chp2KwccioxSCLcZEJwjDXGnnhqpONMdMKYt2OGFDQgYdkJRjQggk1HglD5 YyncwVJVyKDUOVyjEDOM5qVYyK+RLcCnmUcoUKYJM+AzYyQURR2KYQpQqiHNJmpkSpClScaFMGpj XGUw8SMKnAp2KlcZnCpJEkY/IYp2GfDUnCvdQVKsamoy0IYloMmKGhVENRn8kKlZKlSqntoe5T+e FDVSieRIuDo2DEJhJJCNhzYMUJ8zXB64aFZxd8YPzIYrhOMdmrD1xkgp8ByrnHCsZFXOI9PDCCe5 qVQ+eErhqhKQZElfUzIQfaaYQinL6koR6lSRJNVJgqNuGJGRjgQmFFJgcoUYqRK6klDQ1Q0GJNcK EoO8Cdig7Dqe2TIjChmVIU1UoThqQjdmpl+GDJbOpQ+RxHJV+4hCgxqafgO5wMySIKHywpOGqjpc SrjIUYZnGaSMVdFJRj2oQkk0UhKZD7TlniMxOHEqZnHF0XGV7M0KRhQzYYgk8Cccl8T3IxB/IdV8 sKSccJIYyGtQcdHOBXGg2ZoOxMKfPu2yKOUOUdhqEjqj+JQjyGWR8qk2uN6DNJl5D54cD+ZWRMNC sEwhVx0JGqi4QOMRhrgyYRXCUc0PEZUZSpNcI+BTB8XcmosEw+FSJx/Ad3KYRjDjaEqxEoTng5GG vA/pw1KEdqlcPyKEFcHouZPxKOSsaFIIt8x19DORzU4CqM5+BWT8EIYlTxGNMPw7FJGwqRc5WOxJ qLB+ZXyIkoRjnijJ8SUwocdR6k1Gd0w4YRg7phA+Gc5EvjPmUUiiYZoQcSShBx7bqj6DIjKNmORJ 7h7UPEojlCg7Nh8iZKDInjBSDhhFOBRSUKsRc434Ewa+BCMS6qPkcCkDZYQJQiFzwqxUhHJRTgNl jFxVyiEptXgVrmcxR+JMFSTTiTJI2XDChOLNhpaeA9OHZRlwZUbiZ4ucOBJCEQNXt8CpKvxGRZOU R0g5U+BovAdluKRkZDqVUohRisFIJHRHEio9TiaDwTQiCE8ySINDhhKGosMqHuGQgqVKHyOOGq4c dR8lPbQkjDLFqthUdfjhr4Gh+Qtt/kuNPNSZNRiCDiMieA9F1K4cR28xtRkGzJwj/U04kqhma901 T+GFqngRaqoO05FYwqUoOqOVQqUw4GakntqPXjmSngUjiUkanEqMUK1wZE3KpXxGS13zUr5CnyJU Q1TQZWRMpJKDUQqMV8CYERMFmfE+RypxIQg8MEzHSCvjhLuMiSZIpNdTMgcipQmhwyJPa6+IkUIo TmTa6ajN4mhFRUXM1HQTda/Ei0oU7UlCMycGVxkGWeIy3UKsg7kI3Eq4zjkJJXxw5So7GRCwcVG9 SVngPuc1NFKYS5mVOV0TMXXQiFzHefAluA1TQ1HuQ+YjKhNShQ9yJJNcIQehK4cdRmfiOxKYVKta LtlNRFWl1CjDQxA5Hri3oe5IXM3dN1NFJ8sOJMm5G8xLlbRGHdX9B0SPie3KoywuhL4amva44fkN 6maqMyeJ7TL4lEQhuJPkM0GhQ/I5U/8ALM3KspqIzIo0eZ7lfTCfLUVmTiPddCL5EEJ8RnRCFKsI qoS6kq5wHRB3nQbJKkZFB0WMyFHWqHAnDQhT5nAj4E+WFVUqxEjQq5sVPd5GbkFSCVhCFIyJRWTM d/48Dh8CaZEyUkkiTmdaT+QzMmpPloa+BCHyKyNmMjoTCHt+LmU5EJGqDU4iOvCRWyKdt8yXfgUV dXNEM24EQ5HlkU864S/BzMYmCPghkn4n/wBlJUq5DvxIniT5oMixhCFUbQa2D+4XNRrqjJnUn4mp C+Q1yPhC+JRk1FtSmSiMrrwJOAiUXBlVkNVzNHEmcz3M5SnkPg63MZ/EVCU2v5EKjcClcxGhf1CX aUHZuBy1obcJXyITzGhDasIcSF8WN34j0PdKaELHqNciIuo6Rg9tDRsxnOC0UpBX3EDqjaDojuOl cjXU17UYVJUqiif26DqjrxH/AAGV1fU5XVc8JQnzKfGShxIaR1+BJkpRUF9CEkWJJe3yM1JtcbWi pU9svRXHvU+Y9txRE8Sg0qMw9E1OBu3e0dPcqDrHng+R8x1GIZhlRZzIpqptX3Nkn5kRxJVyE9ZJ Z8GXyOWgxDj23PdoNfbPCo+5VTQoPkhQRVpomHM3iKi/A4ZMrippkSiqSvgRC8SkJmoq18B2aCu1 ckyFZaZiKtqK+R7bdrpTM44aEZVOZCpRDj2qspUpXQZURs81KSVfwEwhaUPdVcxRGSNT3Or8CEkq 4kjWWPtFW6dEHVERD8hyh7UbVSF3bc6Dr7jiaItSsjIRXBkjCom9myVBdVzGquDM58kFZPMZozco i8DRsKlRm88FRWIh9RxFW3zUew01NUzNOOD04iq7/wAZFr3Ij0T9Qtlqx+JK+3NpFVHRP0qoq5JU dvPIdFgmvoh8xFTL9Q6oslUbQ9ktoVdhrV+PyHutlCu0VU/hBqDKrWpVR0VLktzQ3JTMb2zQmFyG /wByU8xIRX0E/pP6iKa9r5DImRFR4b1HqmpCovggr+SlHG2pbce9EURbWRdap8BlScnUnIfI25KU 8yrW/wBvzU3O+hvnjEeorL57YMl8htsa5iMk5/mNVxts6kpIqqsrRKjp/PDUrtJZtcxJ8j+HFSzK qKOqqj5CpbNyZG5UW00cb1JVuGpCj0HuujgR5KZuKrJcSqz+Jxzf5ELwYqvmOiuOirGX5EXUyJXx Pdl8SlMiGEXaiopCbVyU3JcivopPkR7bkrAkz+ItuRs53ySVHSNsOaq5MvoM0Cp/IdE8OJ7M+YcS HQV09l36TTiJsWcz/kTdatFQd9lnCpD7M9BVuzpbwEZEtu4QSrovxKKlqi7k8FKuwu5aURPzHoni R2nfwY3On8eAkPatWg27UUW1EnTMqtjVf+QjSg7vwGuluJCPkiEo3BZIR+AqqM6GptVGQVfJHISl eIu6HojkOQ85/wCp71dcpIPmqnMy6jL711HSxEzdJUS1lmg1tyPaeNVK+Zx1JVVXwPazrqKt9y3+ FBWhDbc93HQi5FRf05iJt2NVUUdfai51IVUSrGSxQ0IbjoNupk5Pt0HvlMj/AI3tfm18irWjQrfq QlPie1fCTTUjzNvTZc5HWeJqQ6J8R1Uii1VRGuhZjIiuqkfFTalT2oqXJVYN1y7luVqr+BPsszaT NEXP/QdKJmqnERlbgbk9yqs5C3eiqJCKjSR7eA1z6uNaOl/u/pVR1ZXyckt2KirwPdXUrtY3WXLG tB1bi4jLaqp/SjFJU+S9vj4Obt3wRj3KycB1NyXwmQ40KaZQPb7hInJDTwJRRG5j3EI1upEocfEa 73W6aEIL+l+BVG4oS3Fx2TgUc0TRRERkRMkT5lJyGd28jlQa2CWIUSWerjVchNuo6Kip/TmN8UN3 pqUG5l0Q2RAisyi7rk8iLnQR0X+0dYRVPCifM3Xe2zM3M1vyEeNyRcZQNmMiSTCHtdhN0ue1CJXO 3QVVRh1QZ/Id2XNDiLV1NvMlV/1KtupB8jmVfFKG94Sj1H2+B+KntdFzbM2rXioy00yHRxYfxFTY yrmMls6nEZRFZ70pxNrInhUfNKiMiLwF3K2kG1EpCqv4lW0Qnt8B0Zhua1KOfPB1VXwoif2oZKmi jorDDbXcjPL+Y0KPUlBoYqgzlVKjoyoe21E8yVHVSpNOI9qOSpSdRlRl1JhdUJ+I9pLqf02jJaVJ QhGKHuzPb8RCMs8KwOioqHuVfAXau7+1cP1CNnA0kQJmNkoyMvElrTa724ZMg6I6JUk4GvAojW0F R/booj1NVyFUgTNCrcD+piVOAjIcCZNCFdiIepX0Hetcjw7qKnyNOxqQT3MkLh44xjVuzQbuKkY/ IpOEzhBPY0xnsSZ9lsiMIGH7FcZ/7j//2gAIAQIDAT8Q9KlSpXpcuX6VKiwblSpUqVKlSpUqVKlS pUWU/wAEi/0C5fqxZilzTqEWR7zLDDNr9FdQmtzi5lnJKlSpUcQzKlSpUqVKlSjHor9d9Zb6F/QB BD0Y+hQTKEuN3DugMCVEJeKhluFPpfouV/iNr6DCSoJl+4EjU5gxlQXoB6voYjKqVctGAxVmKypx FdtzLExDRCX6DL/wtxhMQmo+mAeYGI249dUJrqUCalSvRi9T6YmIFwRqF5giUYYF0+nMWXKx4GIR bzL1/UyvRRCVK9KIoSy451NwJzNpXqksy8VGUjBjzGoUVwRFT6LqCNS6CymVZVSqCy5f+Fa9Fo+h cTKWEV6P6X9ALQQQYncyYiRphqMKuIbzM9SxLeioHMSywvdL9bl+q1LZj0YyYiO5Qfpf0vohlPQE /QkD0v0tYqlD6VKhDcFVyw9L9b9GVA9UIfqf81/ofSv12TCXLly5cuXLl+h+m/8ADf6bly5frcv1 v0uX+m/8Vy5cuXB9L9WK+ly5SWS/S5cuXLly/W5cv9N+ty5cuXLl+l/qv9LHMFwLz+niXFeMyxpE 9Fy/S5cP03Lly/0XL/8AhYsBWIHdqD8Iocy4g21K9mJlwRxoNwy2SLgQBvPzMxb4agrrieWCafS5 frcuDLly/wDFcv0v1uX6MwiPMciEFOSXW3EUU0ncXZpXiINlQ9oELhXOZjqGZtjTKDqCMJLPFR4C HaF8/qI3Ll+lwfRfW4B0j6Zme5T3LrcvHovG0w3MRJUogTmX2DEtwV6FeqDqBWolxbuVa4SnqfHo JzMQqILcQGjg4m+blSpUr9X9pEVjBcb6l+hYbeo1bWcRjHwnkSj0eyHhNcS/E+IHpUqBG+D0qVKm fUu9YlQvLno3Gdv16Ni5IRaH0r9FRAt0StRgl9pZ3LFjCQjLCSGTEyb2xziMUlks7lkxLgSU8x83 1Pe+pTp+pXp+pXp+oDzLJZ3LO5TuU7nklO5faX2l9pZ3L5AqVZih2QSsOeIkaFq0rlOvxMbPjJwi UP5EJzwfBPZCzXLxEmmUiFxPBA6MqBvI1O0izo3Czj9NEo/RUr0WldpaW8T2JbxPITyEt4luyeQn mJbsluyI7YFzACPUpV4blu+vxLGb5uCKzqU9xGtxbed4/iA1VxVryJaqvhPsqdjxUaAvUCwv8RuP 2QomTBwQpzxUDOPR9Lly5cuXLly5cuXLly5cuXLly5cuXLly5cuXLly5cuX+m/Sk4jFiy5cuXLly 5cuXLly5cuX/AIq/VXrUr1pmZmHo4j/9B9X/ABX6V+ioejiPof0Prj9Vy/S/03L/AMd/qxMS4eji PoYfozLl+l/qf0XLZj1uX6Hpn1s9cS/1Ho4j+ono1CV+io3+hlxfSupmV6Y/Rn0z6Yh6MP0VDz6O IwSv0Mubldet/puWyn1qVKlw/XmZ5jMy5fop6e/oejiPqub9alP6FISpn0xE6mZf67lyz0fEzL9L 9P3l+lQJT6Ho4jGMZZL9L9K9Myj0WHcwai8S/S4ej6EH1ucQQlzHpzLlZh49CDL9KhqcR9C4hMRl 8zz68+mZfqzEUuoM16a9H0rpnzG4TTUBu4izUv0SXHxM8Qbx6D6EU4jBKZRKiQIEcSvQjxAZX6A9 FEC5TG/TPpWKJVRJxKuUcSvMfKB6I1KYRTA5g5LhrMTxAgnEYn+MALeq+kfqIYPD/wCLAdXs9Q/y MemJj9GP8WPXExMemJiY9Mf4f//aAAgBAwMBPxD/AOu5frUqVKlSpXrUr/AWjSEPov0v1uXFly5c uXLly5cuXLly4QIEqVKler6Er/AMu4R9DCVGXB9V/Tfpj9V+q5cuXGkfQz+i/S/1EuEuURKjmMF4 0ly4/wCcZcv1WLhLly5cuX6X+s9MzMZZERtOuIn6aZZzAMZSv8Fy5cuXLlwuEPRfpcv9QQMPRggS Uvo0lXXoQgIkYMS4LjT/ACVK9A9GpcuXLg+jH1GB6KRRegwZpLlxemEpLJcuLxKJR/gMyiZ9BgxE X9J6Mf0FJf0sX6XLj6swwIly6ly5cvMUaSJT+slxZfpcv9R6Mf8AOMWWl+t+h6Cv9R636XL9b/Qe jH/8w9GVExXqr/8AHIeoPNRIx9axLQ7ysuxlf/ZUqVKlMCH6DcVcRD7y06QfBcCwUwfLDLLFaoMB WLx1KlA3zmIpTc8MQ4/RUpiv8detfpJcuD6kFORFSuky0ZgGckBdW+YK0x94pH0z3HEvVdTMiHTE G5RlY9Ipx+uv8aJsT39MT4lnUF6lehUKzPUzLly0UldMtily5cWXLg1LIkrzK8ypTKZURURSxlNy uH0r9dSvs66htJFecncT0XLR3EBROfWoS30XF9K8z5jH/DXpUo9NaY7dQjR9+ha4Y5Q9a/Qio2ze yYEqAKSNYaM5loJhzKoox6efSzuU7lO5TuV7leyI7JTslnT7mOz7mP8ApGj+yWdn3EdzzSspPNKd ykrKSkpKdywFAiB0iBsERHDBuWGbVexO4n0hqg5XSNjABz9MJxSX5n/lpQLS6sf5IVUaeb/3UD2k 85Mu4IteDMRMV8pyGE8zmMWXLlx/Rn0t8zPczMynuUymZmZmZlPcp9ep3+YGes3jEURLc1+Jq/JW 4cPf8xsV4D6ja8VfUsgg31Ctdl783LLuuYEaBuHItjvpX+YuVT/6f3AVpkjvqNSjzz3OdPF3F22U c+JiAcMKOL59GPrf67ly5cZfpcuXL9b9L9L/AMZfpfqPqfQsuXL9b/XX+CpX6K/RX679K9Kh6n/I f/oPXH6T1PoZcv0JUv0olelf/Of4D1MX6a/Xfv8A5MzMz+jExKlf4j1P61y/WpXpf6MSvP6aleZU p9LlSpX+Q9T6K9LJZ636Yly39GZXn9T/AIB/w3+g9T6NS2VK/TZ+m4+mJX6MemPW5dy5UqV/gqV6 HqfVTMzMqVKleivUPSpXrn1r0u/016Z/wV6X6EPR9Fel+lef0Zlsv0xH1Iy5cv8AwVmLB/V7ypVe jKhD0YkT0VKmfQPRXoqZiSvSpUqV4/QKityk49alTMqETMqVKieoSpUqHoxJUr9YFf5wACv8IBX6 gV6KlSoH/wCj/9oACAEBAwE/EP0PouXLly5frUqVKlSvS5cuXLlwtFRaly5ZLly5cuXLly5cuXLl y5cuXLly/RcuXLly4Sv84mBUqVK/SCSpX6yVAitkQ2Ud/r9JBBcEISoBP0CUca9KIWjA8cywgzDE y9Z/+v8A/wD/APlmokZfVez9DI9k9kf0vX6NUwD6BeoyyxUr9RDMILwWl+BBgDK0+IUZPxHujpli hbEsU/dB4HvNQvQguuSU+8D4bl9fTK0Mu2ZeIJi4lkTiXajW4HoZQqbiILqAGZS+JYC0x2rRz6yO J7o/ohUm/wD8X/8AcnByOj0GCeCHoPoP5Q9Yw+mzWc5BiIOLzBHmI36zDlGVjDCR/SoNfM5EqF4c SiYzGrG47LG7gCjuxmamB/EQHMYQbL6iGwMVMEtVE2X9Q4AwwJiJLe4u/MyIziMsEw1yRVaQGp9T IBS+Nxx+0xJCINGLiLbeYgAfPovMGXLZcpDPMILZe4R0al1iXLlvRdei4MtLn4S/RfovMpL0zCBR AadsrhID3ZSU1KSkDKVEIhELuIJg3GDlFZ14iCcsStfeoE443HvfoVB1zEQD39DyZioqBxqXf6TE s4JjKbPcYyZimHMc1QeWYcB4LlGiC4AYOag2hVplUt7gKa8yzVe6UmvE2Auco4hfDTKJcGHdvUuc ZTEKZ3CMMmbj54fuHaHKV8cmG4gWjNu5dMRoagNY+ZT9QHbMy1gpy/MpPbiL+Op0M+Z4veL6n+1O Jn6mZTzxMzM5zuZr5muZniD9wczmH7uYgP7gUO+YLkgeMQ/6gUliTH1MQCIJVzK3cRCt+yF88OoI Y1Hey/MsKJdASnSvJEQvmL6lkG1vcfOIH1uFDmx/EyzBhK9CVAziZMY95U0j2wys3GbcrG+VTKCi hz3AGwpDnMothW/MSAjFBX59Gh5lFnREDmO3GvEpYLf3iKoVUDJRXiWpjHmDbVV1LDHZozzEWl5F 9xQLtb+ILbNOpeBK5rrUcufmcCY5jcBLe5TuyAOPqYSsblQ+0DJ1PLG80xGV4lS0qVmVK4leiTSJ K5gN3/tx6K4/mFttTNd34lKfvCrfvCqyLfiH3hbfxKXccIYLc5TPMfp3HFtvsmE1bbACAFhBXcy/ 3U8JlmAYdQfiBJesSiAYFOZoEC5vLC/k4gZh6kIRysKLMMSCxK4zZMMfUTSixafHmBkMcw6jnUTd t6la7nXjuIWODZxUUglHERLqbTkV8kSsW78RsZxGkKz3HnseHzFveoELrMbDFss74ZdFGHmLJ+Hx BapI7EbblVmC/wCQZvniWgDe427ojZxK8yuOpT9zpuVKxmVmV/vM1/MqpymnZA3A743KxU58yssr iBZeCAtyh5n3YhY7lPlCtpqNcx73uMCCrcJoNwDu2Z24oUc/mKXvuZBNTMOKhh1HDxEuZngYr4i7 mFgaY8s2q4FXeY9ufb0Xg+ZiKQ8seW4vUGD6EIJ5ansiLsg3HHcMPncZru5kRfaVSOoAXi41WYhU IwNzJXs5lKhiEKrL9RINwLxC6yNzkrXEXtKtl1qLBzUyYZXKhBXuxNjTHpH2lQW1bKwsFwGu4LrG O4kutEaMLO5XUqVzKlRPuVKiXmVKzKw9yoA/Ep/yBnM2wC3xOgYlueCHI95mvRzDpzDeX2gDCD5/ MqssVm9RI3udzG8RWzjqIym9VmC9HEy4+IPlL3ZxFHJnuU3fxOG4Dlm7Wu4gYfNGwJnbRgocS6Wa 5i48Go8Ez3HHG4LzFD0PQOpwVDF/EKGoddy0xywBEWjiLe8QKQaYIRiq8yxjKFW8dSqyRqm8krGJ ToMcxlYhjMRKWHEQXTpMQEXcrP8AEGn9oq+fS2qvuCg6eY+NQPxAfZK7mtCnuBwfmYSr9+oJjp/E q1ujuESl26lK8ORxF6FnZHA1iMZlVxKy3K+5XUr+4H1E3516KbMSn2YET4IUOYUwRoZ1MzcUa+pY u9ThmpYxBkW5fiN+zuY9yedXKVnRxEdQQSrO42HLM2ISVWlnBCjmLO0PU78xU1t9NOojdQghuHqJ JQ+PR0cxFvEtdujmMfeVATzLG3UbbURXjmKv0uGfqJ7PMrLgn/0gTC6wRVlc4ueI1VenHT1Ndrzy TOFhyxUFJEm0EU7OY/hETW/MV4IX9y0WqgQurSikrG+5apnSDSpvDPTEXiOHd7hDJZwQrIp1GW8R XPzKiSokqVE8fErmU/EqchCj+oqDUXHmWxq4Ce0J95nj009zifOpn7m2ZhbX3O8t5JUY3DGzmXPH MMdLLFeYg3x/EVxq5vnMdFcTB3BBfcu83F6lvUHoRj2hLnER5GAM39TUb8xP/JUeYNvXmBfERqv+ wQ95kZgiV1KzdYlDcomJiax3FcxWoq7m4O1m7jtFq4gQTzPJFSn6nCLeZRw2bGVK+5nhjTPEAtbh gGYIA3+8NKXyuMtXmMUeTANfMAzqAa70kOjvnqWf3PHmBsxFtfaFuN9ylxmP5lTFSqlPEpldfcDO Ikzx71F7lM/2p45gJKucfzK7z3N8elfj0zcC9ZYlsiODUIIY/iMfzAcO+4MYM9wIvIJSwXMPVSy8 vE3xEx7RN4z5lZ/MW5b7QX7Q9B6XLS1blnF1B25l8RzbC9ujiIinzcdq5x/UL3cw3mbESA7zUIL1 5hYSjf5StJBT2jomK5i0W+bgpRzqcN5irCcLCUEUF+gA3on2cxQpjUo0VRtmdcAZJYa52S+aY7jP v3HilwB1hicMLMuIVPEzC+YQ/EBxWJrHxOzhOIkqViVKleZWZXUqV1K73zK+Zp7elQCfEriU7+/S r94SXsgIEzALvEEwY1YwG++ZR7TBYckLXYKZ/wBI8w3EKYO4jjUt+ZmszzdvoX8+oeqxZeZfc6ix 7xd766l1C3fMoVmXHUxftEYzCKfcAG5UeI+YLzB2M/iDPAd1OVRhqooeXEzu4LnmEb11GjjBMtPe VadQjVBB5mC4gjGrG5ddfECpw9RAwcOn0AYuNPgjhsxFGtG4Fxqf+ppbLQELrv2TQsa3xNtjuJiJ dcwJX/JUr4gSpXLKlSsTUqVK44gLrUw/tNfHMw3OEjfKUhUxD25WM95VK3DtABL1xGHCLW/uLe8x lSvxKzmV6F36h6sT0ruVggYgyLBwYmXiJjqc3cPwneFdM1rueaiIF3iUGJYuC2dHnUvjmFdfEC2p TJAIjjhPaXllW6iCyusSuoAZioSqKvW4EW8Qru8cEc8bNTIzzuFrMMtwmPzFS01uWEo57je6JlZI OBtj07mseYzoz1KiQN4lfcrE2VA/8ifOpSPmVdYzKlSr9on13KhBg+hLf2jlAedSpUtZ1AHcHH7w 3Nyw1N5nMSV/vMrvNyutSvzK/wCyjUrX4h6D1fSs+gKgS3H7TK+YqcxTBolOGAbixV7jNlylhxLt OIhpi23Mct9SlzFf9hBWUVW4tVcBV9RU5xG7zK41KlPEphf+4zxNzJRCHiPdmjMtHrxBpnjUFuKk IIUMQW4uZecc8TYSZj8wRK3iE6YeYg24iSsypUSVx9SqlZ9KlSvqV8yocfiGzPvELxKHtMS5W7iG pU+CLqu47jEiERpvFR3K79E4vE9vRJXJCEP0VKnfmH+361AxArHorBbsgH9yyKsvgl2/Ms94EAuX UTiV/wA9OJb/AHC7qJK6+5VyoRpn0Q8ryS15lNpQvPmZqJWZVypU7uHn0TEMMU3qDS21mZKE9zT4 lf8AkqVjEq5Xx5iH/JUT4nPtKqYlSrgfMKxcxSV1zKgSr39Svp9Klc+lVKiE9pUSVzK/MfPoQh+q vqVmJAxK9NMrqVAqV8SliSuJW+oajmVKUlfcqVKlStkr/krc6EqKMSft3LTyiKeJm5XpX3KlcSuJ WfEqV1qF3/MzDnELfhKMEqc+hPxK+pt+0Ir+5XEQ9a6+Z+JWMGpUSdfvKlYiNRJUqvmVM6lfMqVW pXe5UqV8SjjmWlSoQ/RUp3K6lczErHcqBzK1OfBKvMqJVXqVmUXOZRKuVE59HtuBEEsQO8xLlfUq eyVzP5iU4+JUSpxCVK7lSsypV6iGZUzWqlQD69DhFuJKlHtN3jT6VKv+o4o5lcSu5WJUqUXMypUo lT2lSonmJ9SuZXMSJm+5UT4JUruV7ypWJXUq5UIforMAlf6QJXepXMqVmV19ys+JXG/SiYlQJUrc qJKx/HpVTrmo1fvuVqV9xJUq5U/9SvmASn5JVyipUqVKjFSvr0UVUplZiblfcTmV8SpUSVKM1K64 9KiSuJXEauVKz+8rmVK+pX5jFSsvMqJKmB+0r/sogYlUSkqVH/SBK6IHxA/SQIEDuASon5lfiV1A 4lO5UqVK+pUqVxCK1+ZUD8SoErNsqV+IUljvUCIlf8iStcSiUR/PcxKlZlSu5RUrrmUSpRuVO5XW 4neZUrEqVxKYAaldzESAelcypUqVKiYlTwgVCYD+IlYh+Ykrm4kr6lcxMSv2iYM+01NH7SmVifiV 6H6AMFijRAc4qIVKlczcp+IEqV18yvqBjzCAh3UqVKPxKlSpUqU1Ale3tKx6fhK/MrMplP6lfn0F SpXUxK6gSvqJ6BK/5KleJUSViV9+lSpUqvmUSnMqvaUypWepValSonzK9KlVKiZjGVK/9jK4lYlS v/JRKZWMSs+jv9B6GNTyQVLmONsoff0FwCA8wS4S4NeEjTEolSsQJXUSWZXMCjMp5+ZXn0rrcqVj E/ibTRmUXXct3mVzKlPM/wBr0fEr/wAlc8sqVzK5/Mr8SvRXpUp+vSuuZX/IhK/9lb8yv+QC84ic 1iflHpK+pY6qV9Su5XcqVKlTiV9yole3ETqJ16JjMq3uVKlfMqBmVKlGXqJ+Y/ptGsWjicgk3ZAb eJRnU6oZlFzSGJRqDTOpSeo02wBMZlSs+OpRi9Q+UBLMqVPtKTZmGHtMsfcDiV/ybSriRlTS5Uqf vKz0RMyoF4ZUqV9+iYlEqVKx1O/RJxqATySvRXB6K9MpVZncqVAx6ZMyvuVGJKlMqJ8zzKvxKlEq VKidSriRP0nDNQXGjqPpYaGERFkTenzCoFXqFSq3uCQPqf6YBK4iIUoZ6m9iCYM/GLXJwicdwcIN qGk3cIDyqDj3jjSr1cqFamE68yqWJK5jU4lFSpTfmVeYk4TTKxKqVP8AfmeIk1KYnor4JUqJ8ytw PzK/EqV/5K8RDhlNftEqGNSsysypVRH0IysynfpUb8sCSpxXEb4LjZwQd8T3TtblHTqCdlxDYJtw MtFM2V8zLQRTol3kZbL9CAYqO4dJRoaHEo6vCyyAEWwAAe+YIACUXgmFLQTI/MC2frzKcRBKP7gd E/OI6xChq+4MTK4q5n102eIjM8aGbiAChzbqEbYwuiW0o4DU0PwrjPUccgI1Cp7d7JzmnF8HUaSq MvmuIaH7CRzbkctPiYYql4zUr5lfMqUSsSpU8SomOo0RL1OBLYttsqUzcqVKLiSpXpSa1C2IsXZ4 iMrmBzKldSs4jbKiSszmVnUqVKihm487mWf9wTVMSjgMrEp6wxx7QR5r2gJVHiFeIHKOerY5HuIO LlcCVK9CA59IdGoEMblh9p7s7Yhzh4iBWGpst61ftEgs3yg4IewkVRgOGLeFkSLuyFkDITMAOWC6 slgS89EpE7bKypkfMWVhteYZ1WYS5F2EWqx4OpoCGzipoH4upaRac3qDdE8QuB3wwCHvNTbOBDEA NsA5lKw5XBFaduIY1vGTBygC841APuVeZzV+8r/kqV81EO5daLl82jqfDbqDcDuEMOagNFyvqViJ 9SniVxKleiTMufEr6lP/AGNPaAximV8Sp8SpWJRKxE/eUvEydET0RL5C5dwnhlf+3Eul+5ntfuLc 1EAxysjveeZY0YCJXEY+gx8oPmD0loBjuHiB8Sxyi2Ia+XGd/ETzK8VLTLzKYszLd2S2ooVRrK1h 3xNEIVFXjcqRxClENLxB0EVx1F2Ne8Ts52x3t+4a02+zGqxz14ll3rcVa47iLJCaxl4iAP04uLVx 27YVVs98e0AVNvuUbVo2QqZBq+Y5NveOm2/PURFKcDBKi75IPgYpNP5gigLuJbMdkQ3AVaaPOpYS pRZc98x3cSw2wC4UyohKlV6Vct0Mx8zEqVKfQs4uU/UPJEzrErghGExDlUrEqV6PtKf6nMUbcu4d NdS16l+pfpluiZeblv7GUOyHGn1MUULGEMeo+hUAfQMLClLBlpyTCz7u4rRTQgN8G241lQ5XmW7Q D7Jct13uEqAXhyfMDmrio1h7upnytyuYznlQx1pyufMOG0++JgtsvlMQ8RoTFwKnHGbc+hYVqXFL xMQCAbCFexzCzliiuK5Vhl+C0azGNFFJ3GBCh98pHIqgBUp95rDTSw0DU6gKwEhJqp2tEG8JwjH2 KinDzBTU1u2mDzi/vHcGj9fofEqJz6V9QF3s3mYXImyX83qWy4V8kuvaZtA3E7lV6LWeJUQdupjc aq3UKfPpU495WfR8TPdQYSJ7ye5LfMtxnMfnzDQiG6zNfzLfbqXy3Faxcb1teIrNuSDPmVCBYJL2 6hNm4mOnFQrvviLTHHMTpLOYdKKm1/iYVLvY6hhETwjCiq7gcj+JzubFNxmyAftATAvTqXjQ9kAU gcQrCNTYuoNEnKlQbLo4hcnEb6ioSQM8kMP4jbWGDstdwsRE5HTAQlax+80MPJqXZYexgLcvmIER MLEiV7iAsDaGsb1zCyu+oHWpb8y2/wCJZLmAVkNv8RU3MJWHmJU4XUXMp/vMS3i5minsuD9i8RTu MClsOpQmIq3Vs0DUtg34l1N+lwZxPExYMzOmJUnDu5ToTXhlPg/icx3PDMmopsDHk0mdwXIZGRfI MyLnNbW0dTjEQnt6c/xKm1yyo5ggGSqeXxCQVocdxzn0VSr/AJLtczSbTgme7q81FRZeKz1EN7oj EyhbGQ39QEG786hir6gcVjqVxtBsQ/LRzL4OIoNXhdwMX3OzvqCqWMwqsbguFmC5WtlkHRXZPKPy l4oinTUpZVGmmK0c9y+hL8ICyb8QcFyxahmIFh9mO2tgtncyrS7qKKTPEtcp4h5nWInw81EC2n8w xxHniOEsW9zTKSj8sRqohwZqNOgv2ljAGPEbFFlXyvRNKlWn7RVvC1qmv2YgqUmETJLGKRp4fM7D 3IjCwlPRHZG+ZS8rDyjbqAOf6ly8VM1OJxLleYnM/dhwDZuzAEJLNPJRBZUraHAuZbqtsUpswygR IWGxE5mROpQ5qVV+l1AVQ+azA0mGC7f+sWKxYyPjdQxZzlPMDKhFApr5lH5lmx6geh8XKEW3Y5il ezGY6V+0uHu+IvxfzENY8RWYUUN+8RxdXGy6S3bcrD3PeHD8I3bzBG1GUVa1xE4HzNvfRF7Ji9/U U+YvcEoHMQGN9SzUv/stJycBuVnMods9Sx5jB3KvTmI4bNVFFmIrtY9B9RHASnd+8ri5hLDgOGoq aALzHYw9Mvmktv1oJdJYba/iAqFBCniuIkzqGx7GI1C0TXy5hYGi8ns9zEBXmYlnETcGYGCqllbl y5TV1Pp33Ll8yk09vRcvmXbXLEuoaX+nMb3xptMEDVtCioMYqoESpQORVmUqKk/AcHqLSjQ11lyl 0KS1xl/uIKO0jzkluIuOLg7X+JQulMAb913AIpKyvt4j13WrP+xkuy+YvoRHU0brqcj7glbxGmoJ 3moKMtdQ7s+8JyJ5qJeb4h8UwaIDryxEmCnqo35J2hEm0JpIPCA+J3oPzFcOGZXsOpS4bxzKG6pl LZ7ReD7RaUb7jlBItlfM2LlXC2HFZEFWHyS0P38xYzJpvcLLNP7xLVS4ILmV92IUl3FCoC2S+vQs rLEG8iIqtCNtX3BMbO48L+IkDWa6PdmM2nLZz5gALuOWvHNQ7djpvyiKjvY5uC9BNKjBwFHNYU38 y4biqM0gcDzBHoy6+ksOBKTpl+ZniX16B234i6KxKMv0XmDLzctgUpO0A/MWhUUJwXk0xq4KkIt4 EQo+0cBoaZT5JqHN0tXEORTiBFMr554hT2kOcngLhQhcINAouo565yGXTC4JbJeA4ozm4935YI5w kcqmgC0gDpdrBK2t8wNXIF1BXxKgiOSZDT3eJeUAL+l49ovbKVsPEo08OpT0GW9wWH9npCJf/epf 4nB3FXdw7sQhj3Fn94+Mr16LLvmCOZuPhLVltcTzMLfMaqFHEsl2Sgg4nzMdW+ZZnBBTAYijzMfE rpuA7qFGJ0vE/Hp7zmXn3i+Zf0S34lxCYI1tuuL48wcSFTTkptiBkYBF5FXFzd95jYIWvhKRSsSF o1zHkbrp9QqlBaa/eYlq9opdZl0SA5g8iFRLWory3nzMCYVTh3eKmahUaWWyOIRmRdVu06XKaLZk nhOxjSp0KbOTsgwAhLVRdjDeQq4ESg+KiTSBl4AW3Ks0KU0tYYWKL4mlNQjxkVgOz+ZhVEu8ZrBo XCsoL1eWojwVo5iy0rK+bvRYViFxVLF+UX0W0NFdRobc+WFNIXpEW7StWv7jUMOPLK1q4woKBaKW HaMFSoVtpGGr/YYR7o3eaAR9iGGbHZdS6gs8u5jUDvbuNIqXtZet+gQLz+I3f1QLWQNKswtwv3f3 E8UeNJHpZ3bOFezM3Vmf65nRx5/0w7U+38wJj7WVHpTpBPu4CzXtX8XGsp1cyFnP1ZX8xOGtwEr5 Z/5LX3OuPH8jGtN/KbwhaM0AZh2fH94AVpcGGnuU8l1TmEzrswit0+Mtv5EZm/BUYbXsu+HMstgd DX8TG4fg+YeX+Z2+Dcs/pYl/Ww8R7Mw634JlzQN4num+JjyichC/JHgCFFuPtFzFntLgqFvwSvdm cRR7kYybnnPrGXWu4z4NP+uYprH/AH3K7s+0o5EDKoloMR3xZD0ZiyDqbSKxO6lcw9EYqCG3YaDZ 4YAwHJQX4xzDLpJZqviDKM0qg5LNVB6wmuDOR3iLwKysyZJQiIVjSbxhi4a0gTa1WLp8xfQACGWt 1zGpzCBWrKfAglP5OMwUi47GlFEaVYwcdBl3C4XYHpTdfU6XIA4bLX5l1uMVBGy+fEvoXDFKV+16 lqrNVRXkqNEbRtLF6qEFSaQrafeGlqmkCgB4GK2xEdVTYviGmGZKzXUrAbgQL6xcEA21E/LqNQRP Bws3TcVU38ZP7jcb0KqNOmumN3lAFikrrFQnzDicq14qDjUn8tcj2+YPYFk2XwK6IPb3YWHuwkqL I3qu7nOYbrj8ylsvWIpz6GPlHg/Kpuadef8Asd9faOOlfeyCcIec/vK8pdW/9igvbzDSBTgZZtQE 4uC8PhePaCuh4WA4HhZG9rHFEso/CHyJfFTAwc5IN6afjMQuj3rMww4vxC4h7FagsgOw/wCS11Qb clfcHuj7jb9zBV08hMtfKgYtrN5v8VCq13nH9zFlZ24gqs8Dhgxlfx/MCFu3w/2xuwztqSygD3Dh 5d7TGFnO6+2K4uPfUy8j2/udgfFw6R4NzPZl2ViVNPuJMn1UsoM+4pBVnnwj2v2QyFf8RL/uK7Qe VlNBh76lGAFwCwnP0ZZTSLU1OQfke07wWiNbAwgFqPdnU1j4Kq3ik5jIKYF08pSDCAcn3RCob05F o/aWjUSM03IzTKxfBMoNlHvEcM3CWS3i5VuAylkb41d8RACGAECtzTKKEcVOKtM34gOvUaULsdQV 5zgBZvWJd4y7qMNKOs94MUhFCpPliXD038ij7xiNmyVx9wHdVJWfBIn3piZe6oCAvYonApVhGupf R0J70v5OBOavgZUwJi1p293jUrPTKkrGAYg0rNxaNFbLhPVs1UqzpqW2HKrKI4h7mzFiKtF1mLOn 8hKSlbJXL6UUZyqSq+I37NV7/Ez4gVLPCdS1lZ2FaA0c+ZX7xYCW8T6juAwMlAyvI8VGCKdApToi 0FN/2TEYnmOP5RR48rVxRAc84miN2YqWFO2CuYN0t73ZF1CzJeMywOCuqpgaFgsLB/aAaIcKZSnC 3i238ym4DsvcvhpLcIIN5pnVb+HMoXei23EAPZi/PtMFAM1aCOF/MTLoTq+Y02hnXs8xNxLMOdQZ nwaGiVc1I4AzDMXZrJFlyg5vP1Am47S+izevMbDLRwv8S4A45tqO+k5NSsR71mRqffL8zKD2WP1D ZWHQ/apgUeM2/wDIAXB7RTiObMxoWoO8ythX3z+JXhT8xfZrjMchkaRqJ1ZbwZlvR0gRMsq8CDOW MYsB3xcO5viP5RbEA1R77jaXVnJE26FmcbluyF6qj9xYnJtogijk6Ymsu9FywgXTbhb0azhuIXgY otYBxgdHEdNqfqHCpl2PLLbVst3twkKKcJgmUd2fWJy/HBLeX3JfdhyUVTLCV8NnJgauL5Wc7gyU XxKWjQWWfzEAMXdWz3h3DKrhsweWMzAHKi3ti3J1t2fuESgdsv7mRFsUbgOsImNJzjUOolhLrhHT 0zAxoFdr5PdKKm58mmWUzAvAcrazlJA3ugrAmo527HlYqxLVr3zolQMihQVDCE85nufRrcavQ+Jd nLtUTEq8QFFh7Z38RVilAxAKwKGoMw2y1y478y7olymhecvUu5Vfjf1BShY01/EsW2PPMAgGqWEU awobVYDYKgcRBzVYOhEUxQcNw2I3ujGJtBpqyIKBbN1qbclaaN+0RDL0Na/5KSsldeILaPwhFXh3 cpQMV23G6u8cXiAsIvPiKFQ3zdxoC3j8+Go2GHw6iGh4Y5d3Ud33UBxd7hwp8hDlkTYzF5W4KlCb tPFxWi8ZqoY8t5xKhxXiFu8HHcSCrOuIi+L1M1qOhUB3cpvbUBZn7gGKmTvWJrF2sHTdOo1yp4iG 18YmE94I4aOR1Be0opxOKDHUOSZiYs54hKlU1YsL+YlGzywHvJqVRHOMSsGMGYLDVeJWPfiUmmO9 Sv8AWYDGoGcfmOqbKysq8Fn7RK8dOIHf4IR0R+twORn94ldwUG3XsqCs0Xj2iaXjjgmk3PEajNxM b9azcbGnniWrBvs1B4FOAt+ZgAHitwclquzT8SjJLVFqNrNB/wBgZCza39oZFUPdgBvFrSy3XAa4 mBS0bKzidGfH8kvYWPioZeU0bit9vHHvGgcuLMzPRZeOUr2J3/yDGwBy9xB09yB5eXcF5B4NTEs1 2DcAqBWuJlWYNEHFpZxX8x1A+Kua7Ou5gtLvgIiBVHVxHw0lQAy6a831KrijxHMVv6QQFZHwxCwi 1W2GPNV+YD4OFgcU5WVT/MGrydkq6se4029mXTDV7fMUbvfUTOT+YB39S1TjGfEFxqX7yQGxK8w8 MzSftPwS40XzMNm+epxGamD3NSmO+pwXkhWwD5j/ALZiWx7jUAKV8dRAbKr2gL7Zui4rJAcOuY27 Lla5deIWUEgbw2yjV+3mUvY6maxWUVVf3NS2vFTtSPmcDMwMwrWX3eY9IrdKkVWcX3Gp5c8zuZYd UJLwuB7H7wl+8HrT1cMdRaUHzQxjZcpUAN003miFFlTFV/UC6QPtfeK0BdNozoP4l1LpW7Jlvqym CqljrOMR9voEV8xdBhfN/iC429BBBU3dH+soOVOKYIlFvAhW3PuqJRqsIpl1Cng6jV2cDzOKgDa2 76qcFoxZj2qDAKbut7loihVb0exEZsOIvTXj/wBilusadHglNtXHlZ4DEsa8lsOLTr+ZYZAeZoKr tlpVWcQC3yzLzanKjGxi/HiUjWXiXPN6KxB8jfibYgZ/mIrik7lgy0I01V341McYlYO/3mAT5Lce 9Tdl0HtC0stvmB2z4IodLjdwG1c6KmG9K5YpV2W2cwBobK7ZkxrxKlCp4YqMWvITJjNdyhh4xjMz BD5xHWT3WADFZ3FjGpYQ0G45Sqa6gFdCQBh508QW8ulG4JXIc6mMCnuWq8YxfEsGW+CLsSsbzBrd xpKBrbuOCqB7jgVKNMNLkOTJKd2O4pZWdG4Na4VgvM5Euv3+Jdmim8GPcgotXfOZt31L/wDP0Ahz W4K04aBgkE8FNX+YL3zlZTIq+61NlXneMSsUXqrICrbR7VKgulOeYDoF7xKp+QmpV6yaNsbhBZy1 n8RTVC3YZ+pSOin+8ywKAvARyATgcEqrAXGPxNuSGz3coGxDXH/ZgZwaaI9g50VKXCHz/cCyj4RF d5TdwQLPgwsy1sfmIZpy0aWU4xPm5Y4K88TDnI7xKBOvgg6Gz2hPkG+pTRQDkyexKLXTxiFyvwl4 0rmZZAnDcALGtwV5rxKhgL8s6dKuUQBZyln3DLI+OJgQFPzHDN27tl09PJKVJYc0ZlgbEPcVjTQp mWGhxqpSccZqdC38QRsDPHU7QPlxLomElDYU7ZS0VnkguW7XFEt3LOHPcXkNe8EyvMtdkOq3Cjsz 4ecbjlM+0KZy7KiPDpLGeOOSXDyavMzbpergPCO2PF9Eq4weYAw3fD4mS1LeFmaZp4f+QBt5ZJwX /JVqvjOUpruWRdcnFR5A9X7eJSrTJpMfOJndLDLnL5i1FL+ITo90YUcvqPRgwQpV9l1Mzo7aj2Dp x+YPADuXZQrObnEq4wRsyryEyYKe5Zq/cvXtL4HHEBwZPxLsiAfcbrs8BBRS1tQfvG3Or/alDODw mS5A8FwoNN1DQgBbCOAu8rr6mQljpnayuos8Cs9ZiKl5QSOCYJeTqXdT7TOgnu+4pXPhMMBfWYtL oBw3BVlGOoqLULFVUXYaG24vYkN4g8A8NVKciHtz8TBqj5uI1bzjLEHHGqWHI/1GgE7FHMWzg5jq Kp3GXbBaKRzGhbCvqPle0SvO+0LDKnbKKB8RBJkl5TU+JO4pBoK47lgcq5gUYpdBATNncMt049ve LbG8WQFtT3iIm6pihoN7OJtLHwRfezxDQNH8SgSijVsaTgXTOFg+OpYYVeIsAvDMwqJ6Vlm7HjEw IR52Ss3QclOJVrTDIDLVsO2Zrt3eYC92IHIBxmZguHAxu7AxqFMCl77QRmlrvFRdB8Qou8O+WKYv w7qC9fVQveu/URHLDRC+4BEV2sVk0PGZWFo5HiWtLd7Zi8EfcCVU9GbJSKB6dwx0V5xCQKPJ4iOC +qzEU76rI4lNFbp0TmyTk1EXjfdIkHIZyqpXB74Bb2BxUHZZp3OB7KK/eDmA1y8fE7LTwbzFimbi LA4Ocn9RLBtdVqNpTVlYKm6q9upSvPw4lpJwYWyN3riCvNDxHlV6zKeEszf5P8Syp/YTtBxBbdp3 Mm06XeYUpo8eIu7BxxmZ4m3ObP3hQ6Z+WWWjkyEcsZp+ooeI6PMtOECA99zJagZvdy3RXbUQBV1x L2fkeJSs2vAkKM7vjiXfl5lPA5uWKMNMV1C/Bow+IItnGmWZbdkAuinlcBSBC795QKrv8wXvS9zB W3eOcxWiHnEsmVf99yhZZd0HDC2sJpyRQtC2q4lK2D8/tDDYr4iir7lN7AOahBSA7q4/TdxQDfhN SxeBrYisrHiu4NYohfvFgbvYspk0Y6iORLaG4mBAY+IIp3x3KV7Diwuplqz1xFNAHLf4gDIecZlr tTiP7j6ECLQxUuthl8wdUCPRm4WNEeRzU4OC8V3Fws02b+ZYmeG6pgAP36PeUrRYwofiAo1Vu3MZ b3HUViMEBVUdadSy5AeYqzY4ot+IuilO3R9StkK8lzTRjjn5lJSvS8Ea7W+cYlGxia8yguzu5eWK 5LiDLyGqaJnCh7dpdcXQ6/uYVUB0YljQDyGBiMpL02qKF4HlIAEidZmE1k8QwUPH9y+Z5uyLkW3V xM4O1qOK17xuau3L7wsHQ4IAi85K3NF3UqyZVm8wpkpva4+o0qKHAxjVPN2xo0SnLX1LpFsccywP LgsJVKlpxwS+sV24gaV8sRAML+TRFkePqWapzxcp1W3ZuYZTBrERFoB2m4oVTzeP/Y02JbilVwMB TW3ES2g8dQVI2+IqONcsBo47iYKybuWywrcRa1fMDejebjHA+5mN4N/z9QNDf8/MVLI/EsrFPFXn zBJ5dwLkyThhWvMzDw5ghOWx6Yluy28QKtpek1pxxriWurHIkyUAsXYXFa0WKM4iF2A7t1LWW29v /YhtvQ/xExRXmojS+8pmrj6HooFheMkXLA6KsqCKsleYrSeTNXHSz7XFkld3r94GoGjKP8QfCOO2 rhj75sUH3LMiLaMs0NLq6v5mmnuNDKU7dhl+Y4cVNbZwPjvmJNKV4z7QprY5vEOO/KUykZCGbpIi qavbS/iWae9buA/f6P3KK6+w5jwCHy5lUDJxVLUOiHd39TJkAfaC4YXoGq+Y0orVyceMSre1/eKS Wa3WCFD8rEDsDlWWOLaebl2F1+T2l0AVrTiWsJWGmmAlA1dd/iCc/cg7PJgyNnu6+pWCPA5giUXv GJa0RXEFrVtjH8xQohRssP3XiXuvJWeoFmhq3U4SeR/2CVn2l1Bj3ioX1eeJcCwFt3j6llsnk1ML q1NriOVYeL3FbsDOb3Lt76vDLgnWiJ1U5qILIDzWpdQoeCLVLW8TY33Nkr5ZwUe+f2lHh84+YMhb XEtNeC2CrQ5XeI3gGuQgFEseuIEwgOBy/EBAs2Gb+IDK2zQlTlNHmCdZHmIA6b1wX3CarjGb+4Vr V1m0xwYeOajqojYYXs7HKysEFv3fmBClU2Lo8Stlp1mHN0O7jhznoYg8x9CU7jLy+IVeR4lGG31B LAxm+PeVoKB4zFrN/GnwzOo1xWI0XaW0HMrW15IOmVY1LFs9xq/fuKkBr5mpKF0tkE6u+QloWByL bKt2jo6nAWy84KhZQH2w3OucUS9WrjIzQNhizcuwTDi9EMYjkmSXRxKz3Mt3Ycsa7AzVIDC4UmVY TlOjtl2crkubWHbmpVda0efa5QxryS7pohdBFOQuaVGmA1nu4L2qrJ/5MFBk1Z33MtAeyEN2DeNR oN+64VVu/DuIK394FixQfLdUS9ZB2buG5ymMwoi1ew/mI7l+dQXRrDRWcRtonu9xVsxxcYS6Xmop Vq5Bj9pRg8l5m1lV4xcwKsHFJVzaUws58xLJUc5LjMLHCbTpihhfLEtGPK6l5aHs5itbp1Lg+1ID dD0mQhbSaJeJV7czCWU5Xa4Myfwgi0Doc/Fxdq3a8RlsnCUccdtSp1b8StdDorUuxGlt6/mLFkdL cSsQ7rmB6AQS8wrku2+ZYoN+1SwOGzjzMSy3xFHdKxxmIlg/u9pe4peVz+I8RfKc+8R/AV+YnB8N /MtxllhSp6kpzFbXxOFte9QEXxLAG/GpfmBrefqIFp23c3oqcl9zMQUaXn2hQsNZozcaWt3otmCk Whi8Tg3y4RoqvSdRwKj8nzKNryGi5ZAy5FVK3dh3nXxM7BTvvMKoyLK17xaggMtKajFKA4TODuZD NvjEtO3sso25RxeBLhZsUl3MELb0xyazW9jMRyDmoUO3C715qUKWXYA4jBbFYvR4IpcC7o4nKNMz /wB5v7gVU3Rm1wkyVTviKKs3W9y8ontxM0sXtqDvm9qUQQTcuxcRLL44ltojdVxChaPgvLKV9B1E 23L+0BGxcI1TAd/IblS3aK8xFY4auFwuvOLzGSKkbnYkvYu0+xEPUWVSXggEaY4e5RahhYAuyIlU 7CEUm7YqYhak13Mps4PMQNXdRSWq8GIBsp3jE2sWb8R4tagrdP5Q8Y3cWl3ZgqJdYYVML7YFmrA3 xFzu/wDdQ3ohhO5WAo4B+7AFD7uoPanI6cRdAVGwXWs/xDBQUOmq94G4vXJXmPdaGjMFLcUq1icw FtF2X5igBZurP7lIq3RNRQ57jRh7x9CAfeJ1u/EoKeTOMTGC7KtW/wARSbWxsBVwHRrhu2mAVROn mFnC81iCKAWu7ubyXpnMQUWAqLEC8wJb8wd1kZRiVtp3auu4vI1x5Ro6FzX952u4TERMmnmII89H N9wG1z5EdynC8Z4mOKfs3CUXLph+Y0NZHPMpZAByGIA0DrKZgRYtcB/MzOb0DJErjRWhywHRKBkv UE5vHKsqGAK2c/MRvP7Ebpq75uVdF5hdeHwRi0FZ1wMbeM7bjswK4zG+UHAEOR+TEGkEu9wq2Ave 4YAmmK1gHMLOul8fUdXxUphqrQc2/qJ1HszA3Tt4qbBY5/qZbq3xGnC55xAYW76ZTIAmi5RotrrG feC3LfZMQN2cA9oyFO9jM3JnrVzQKCYHmOSrX6QFVoYtwxaDoYXr2gstkV0/MTSlp2xxpu1hzjqC YxXccgk7ziAAiX5LmGwLwf8AZRV2WaCC0o+WMAZSE3rp0yqqIpVCDIpVx5lMgp4eYIVsfeNmS3tV RYL0Pn5inLWhYi5Mu+n2mXgPzNss9mL8QfDvnnxHl7g1+JRDJhZkA/gjOTyYrzvuN+hcQbpOplis dyrlpnw/9gnZNWV+WYIEOXeHyRRbRoiOR8CDFbOK5YjbBrb18ws4t4GJYUhsH/Zi7Zda/aUzeB7t wQaQ+MsTq/CUeIvtW6pF0OnIZTyxLk93uG8nPJfvENE8hD8wN7oGcPUxUFpvNx4xFrT95VSx4OIj GA8w4kLsc3ETRwutzhIvar4jeafLIQehHsPzFKA4KhcAMldFAymnCVTz9QNHbBKGMG+5gAVwYiwC 3lhQ2LNgx6D2UMe9DQNx1RbvHGYlNVpvmUygifH0QwryLhwAHKGahvRpWTcXLOGiBehQ6mIIA/E6 I9dTEUf2Qw9l279ppZt/2iRgXhaE31N0MpYu/LzPJzXn3gdi/UAMJq9dwji8NLZAzdEbXd9w0aNm KcQaeVlFBLRZ7fiJmqCczNgm0rmOJeFwVKOHW158RRHI1BctXmXh9zliDFLpbcWRcGG9qxxffxKt Vl5uI0X7svrUDY8RqyHN6vxECr4e2Yi0XFuY/vEcVBCXGINhq07gnIC9cH1MTNLhUHtBvK92+YSB bNMpNmslsDLYb1XziO5xBzqonoVCouD5MpA2zg1mGdWPkwDJvxevqCt2rl0/cUKBo1ZRLXRWmkIN PYqHxgLUpuoNLm1Ikzv+o2pRHGBw+8QFULvN59pQWTtUv5zA8gppMftNEjTGot0ZKtrPxEFs1wBA WxXS1FAxpi5ywqwMEtIU44+CAKMOn+IsWonJhl1jFbauIA899S1RKaEBigbelgnD2DmZrXTq4KWC LXT7RNDKbrcR4CtrX5jhQtsziKwcIXHtOisFY+43TvGa88TjCHRv7iTweW9/UzqhRCnZKvGCCA0g PhnuNQZ5lY/EoicVxiJoFV2WZ+IbCVwXmEaoI4VqWq2SyJZhQ94jSUvwYxNzI5IG7br8/Mqm/ZAd IpwMbAC44vERpWdGqiDmgfMJFVTFXcI2iYi0lWPmNMwOaFhEaaoaxuXRzvdIjQN02N+YXIKBjDdy 2kp/eLogOqjHmCoQtXX5IMj5VuKwwc1M2QebgGqxpsuJ0w3eYgchyNncwsaNvb7kFpR5s1U1bymS nEMjJwzz4gtTI2stxAQYZUt+WNHJd4to+IhSrtzUoB186jw4zh4gsum8h/CAWuWmFHvFFjK5qlm4 KLriIlVfyiTx7xfQhXUM8Djlhdqr/MEmcHNQO7b6dQOGR4yEfuhqyqdS8A2tqmYrtHOX3nPA+DAG rcOicryaqA07G+z4Y9kt2cwbMt7tRSNA61UpURTvFwsLv96+JgDAF3V/vLgXp1UE0Dy4iGzIrIYf iYzq6yRgTWs5U8NR4J0A+pkSyTIs3KgoPIZSKUNQLpVPCftLWTR1NEydPMyLY5NW/EBW85zi4kYG 3oImAUrgftNoDTYxrTflcfMLRvh1LCi7dZQbITKb/eFFmvbSTmD7lD7jxJdMq9mAKYPtmC02mVBs cBKMN+Lr9pSLVbdHvUtgpjApy/xK6B5NOJYPLnrUNi2+AxfjMQFAYBpbHCOUc84AqhXlmWJg8ku4 M9DXxcZtxwSNFNVvGJy6vC4jUoC5vP1CoArrIwPxLMpbXP8AEsPoFVFXC8iXfAZ7E4Z+pdRwdnEU djw5iUprs4lPg/Mzi51iWnItkckSuuw3BtaS+DFEsgvYYZwpSiqqZVEDwQEFDvjhmOWVud3Hge89 dkBhQ0eeSJe10rVn3BUQphdQFc3MomoZW1XIEEMXJZL+JYNwbeYPgBeai2bjs6iszjq4K9CGcXmD F5ficO3LcMEgKjFvzHvVp7jgab4gKjDVMAwZuzLt7iqWj25gMAaHcDQHRv8AMdyp4bbrzDsAHpmL gLngJurJ42/iM7O9YzBQy+IbGwWNV7yyqvKDv6j8xxayithzjUxFNuBYpd+yOSjgViWW78mvsgwa VizHI1g2m5Sy0Vj2lXA8kdwDNP0R1V26LiMWpfUXyDU8NDzDBwHVOYciNpNfUL2VS/4RxkJo8xBq WquXsxFdxyi4UxxAg0e5ixoOdJzCSgV4ee5Ul15GvqMu6mF0EPaBa7OYpQDeXuUsHG8EtZvYogMi yrwxaCOKrz2xCUZLqs/EPDdMN7WPIXgg1yHsWzTKdbRLgT23KWjJy04grM3rn7ghoq+olU0s0Q6m lAVI2L6PMqiyJkF35ambg0bzDJZcjmJAvb9xVGmTjSkBpTVu1Qwu8cVu/BMYTJkXFxUA070qIQ1F 0KK6KmBTert9sy3IS4cv4iWrtbEwKOWYbBT7V5h2SDFViorYS4q0tBGzIPdgt0K6Gl7wxj8nI8kE WF5K56gKoDnp+JktFfn2lkI2+eZkKtua5lhlXPGIpW2OfQgvUDnh5/iWtjXJdS5YOelwNUo4G5U/ CxdSqIBnuvm4n/2p8ypa6XTPxD3tGqN/cK2YN8JYiUmA38zJqfSWZpT5u/uUrq6WzMSBkObaYIuw e96cxqVqCyp78wTC0l1S/czsFNXl+0XAAmRj/wAmPFdFr/E2NfC4VmBheKeoUdoLcB1iXhoz7RpK uN24mQoBjXIrRKuKCauJEIplupbpBWE2Mam6jglN5bZRx9EXi6aGoAXThSiAszoZzAKIE5X+Llhd C/qX06+DzC+urZp/EVWLsi9xsQKo6qOOXxEcpR1zL5rT7iTZk29wTVhb239TRV0xzFLZCv8AqYjJ aYrlg45jtodB/EHa5NHPzBS2Lm4ClhXTYibqldnPmBrK3QNnmFBRGoRwzF3niGZrnb/UAKhdA8HY zwfvd9plYoPF0PiouLC1jdP5YBq+HkzE/VwIJ8osqroVSYpsroZD5iLaC8zcuPTj+IVOOcjnPiaN vKoYsXYFe0JUUm2rWeodrLb5qaCyxdLP1GGLLzfE2ogOFeJTBVuO5ZoV1iZcCV4gBmWVdGai7hLw ixB6bWvbDGXnTXJ9yvY9jN/EGFYrQ2/EUPszZvxFMqFbeZcB+pS7PS4K8VHQd8NRIqOmqzAa5H+h ILdOfBfzceV0dCVj7iS1QQDb7lHDyLv8xmG90sENtLby5RfeuK/YgAWBz4PMqZambXD/AHBD9je/ mAF1XrFvmGc1XitX3I2Wlm1R+ktspT8B8Swa+RNdpKgRIaCqYWcTFkMfzNcSYpj94btZNFMFuTNF ZYXS+h0+8dIV24+pVA0N4S0p6oGflhMllN3mn4iwMBkJlBvxWJuajEEBaavs/GIIVhXVr+0y1ANl bH5hogdCoOHx/MAFlYyDAFu8Ixci/CUe8F58kAwE1T+43Y6cR35VnhhnB8VsjprvPMbHAMVnMCAM OG/mBGC+lhqAxfAwSgAIGFaH3irqiZKFD6iKBpyhqGdjVbEYrTNyZbScw8LaQMoI4QMvvLKfcGj9 S2qvIv5YLNUbZc1G1w+RshVC74c/UZRo4QbCCy/I0eIpgSsN8X1M57NVAq8tKUWupaIPDvAra7wZ fEIngG8RweWKRK95RTZXuQDoYyz9RSjDGTdRmVkvs/MMCu2KPyqUKfhJWJQouF2uX7ZZycHCZ/E5 E86LD5ldSwNqZrBpM85+IIrTzmfk4hbaaem0gZVsLK1X8QV7djcMC8NKghUDbwwFY/cmHPsHLAqN oxV4+vEPazhiehcGmXUJ+NxJfbzkg9uHvHiVnPNMXMl5BY6Z8Kf1EJ6cqWOS1VwA+o2kOEEfqZM9 Yc4jjVaeLcyjQFu1HUUdAdNlSyDF54PmUDQSgE121LNlyxSzenRZ+PEssNHTUV2q8+Ivu7NBuvmX MUOr/eIDkVUVkJUctMus+0F5qPvEq37TKNUqreAuBBRd3de5NBjbQXKuEWpRrzNIb27bmkccrDEZ JDh1BJEG9r8kRkVOa/ec1RPZhkKgXblgiwprY+iM5W51Z4l4GbNGb92IGrtde8zEWy2Jh1aaMY+W XvZ4FfvGmaTa0/UGhd4oYNAX/vcwRDkBbChAcsNEXkCt0X7RbiRekH2Q6BON0tD3qZmnoENwjyg/ pKMKji7icFWtXwfEXRGsLUfaZBYNm8QtEpyG681Fasnqij4he0MncHGDNHbklShcCKqu4ILBeH+5 kAvJZDvDLxcX+yhfdIygIe619ykPANK9pVXTtIfmNKGqAC1+ZYBbtazXtKErB2UHct3wWjLNReIV j4gO3mNd53CZAHA4FfOZhhTI2vvBiNq9n2g1GAugo1ziZC1aFX3cBSjkOj05iwszY9891GQLl4Mw AFqnW7YQ8M7LVwRpXujcaUAiXRevEwgXd4uIu+RVxfzxGvQgVxCF8WtkF1mmzqVFldEXFlQqaZPi KhQLTWiGKLnZpXxGOJ2Lp8VEyWU3jq+oi7oBac0xQU5BjeqhUKASkdp4hicPvgNUH5IgLbe1V5jL QUZszR5Y2hXOwxRHBIsF1nuIioC/m+cSj+QDKCoCc5nzNMtOGuWCVp1MFVXc23L+To4F8vcBpS6E bD3jCV/D2IBreph3Ew5Iw7TzKQJVWrz5YjVr9xKuq3yhAOJo94RAKFyuZwKBwtTEqxvavqWqt5Br HEEyHUZJTUNmamVvg0bIqHhzotiUDfTLGDggQA7tIsItTQdq3L8jenMdZDWDzMRVeGswBSnSVtl5 C0Pm/wAR5DLGP7i9qFgwHzDGSGEDL59olkAfkuJ0HFZu8+zFJydQQqaPAoYWhdsn8JwlFc7qCKMn Y6mYhpvb7ICzRbHLt6hcnLS5V8xhIPumeoAKE5a8lStmkBJi+rm/NBjofMDQBNGNwsFsqcQCzSl4 3wQQI8RhvefaArzDdr5lo6mQ4z3FhtubUEolsvKUGqNr5+6LDpVbzfI9wyioKSsvhSYro4c58PEB kPLPXUDdC2pgDV1CmIETbt8wG+avk9/Eq0RbgdxXs8Lg7WI+VCXtXxBrpjAP3eZaFC91WS5YSx5t AMcLLP8AgY5lOqXzH0KhvEspd0JQ/mAh0AI3R1Fqti2XTRvHUCkt8pfhAop2Kr4JkJhlKar8SlgN 8GItQ926z84l19AFsT3MZnL04rP5YrQBk37CobT32wp2ENkseDePaUFpfLCPs3E3pkMVkm0gE5V/ EyU/b8CSgLhzuw7vuMrWbPL2kWLgzQF943Vou8MnMW1bZ0y6hiEoeSwlCHIGF6jilKWrX1MNoOkM xamaj/VSvJXGP4S4XlbrPEUGE7NP7y1jbL8QgWN6aBzAaLWoUzXdx4KKN23AVA4NO/xAkSqpn6gG WG2xYPKQNcFN8viGLRQvcuABfcleJ0DcYAOZY2ZyJrPEwcq+dn1Lood5OW/eWWBRyOo9DRazY/1E whO6t8e0UOipMMVREqZnHwOYpEkKGnu5jeFyXZ4ddzb3euOxuZBlC15xQj9DeCjLAzamR1BSmtAf yh0Iystb8zY3NWnaxbnnhjW5UFmwKZxvBMgfMFUwzhVo/wDYbHg6sxtcDwFrywcAifACyn04tln7 YlR+IAT5xAIBs2C//SZy7PSn4gBMKxmsfEoxETPBPeUE1GoDtzC0VTZbV6CVtFDlAsebNzON/CU+ FuFcLgyovuyIqOzZLYZlNasH8bJaBG4z9kfZjCLLynUSoltxXvLEqFg09JQkFXwdFMy0anN4e0MU aFaWj/MqgQ0Nn4i4FO14+2GFVeqAvvAajRynKZ8sV9TPiAOCrwzHxQ5MHm4Fs1ClNsWRqCyWHxiX lC4MFh8cwVtWw/kygB7gF9DBC1QXFZruCH5H7YSGOewOPPUWHnu0fDWoGstxRt/EI4fIyZiKg5Mf tkiTBDkaZlluZSnHVXhl/ZXDQNfFkBkYaQZHsDiZy8xTde6U2QCsKuNBKGxm9OfqaSIsoy/aBFbU v+IGzwmM1XyxoZvx/QiNWuin5gKvG1Me1Rv/AAkHtVS9C2HFdwM91Oam3kVoX6lQYhwxfiUbFUFC MX8QqhVwiiG1R27le8ULCVkW8QADVmrQ/mcMDtLXs6i8uuMFnvuUi+ocdVFGbQV2YCjgBQsukHoE a92FKVwbtffqIsgG5inu1B3+wQ3I6CymfBBYXCATPLcviMgEMHtGkMrbtDuDA4hQmuA78yvZF8r+ peGjbalnzGw2peWZa5S3ki/LFvMqI376i/I0ij7ig023WT3xCoYLd4QbgGi9vmBEOjowYOqjilgD qnllCqzFyLfvQWwK00lOGnkiUUbO7HHOYiAGoaDw3MhOBoB9pKshqsTE/cSrNFSAYZqoSjOa8R27 U5x+M8QPFMFuU5DqANiAunioBS3tyT3Yucm4sri41ZrvGSRAWh0OK7RzFZQi1sU9tTH45dr2Y0fi B7QgNOUuyI9S2gA6ruAsLRmlt+8NcCy7a9iDUC9irt7RQFj4LvuVDORcL89yyW+hbv4ic3ldcHtU zZbvmV6g9wYG6gFSC7Ap94BYMZqhXxBLbkoDT4LqBcqvppDthltaZG/viVQZtqufeJqkjABl93iA KICstg7YFYTQ5yfcIVll6fyRuILaaHy5gM4Oqe5byX3eWv2jxaHbEqCOF/UbaBGug+46iUDwGJn+ s1b+Y0FdrGT82wCwdglqGcJbDYwsW1ugF+Zosm4RVrYzi69rjLs7aLqUY0QL8rA76LZbPdMSkauL VL5IhUxO7wspL71gGCaaTGOU5ZaKEq6x+IA1e4U/HEwoEZDwh1A2oNts/UA3QGP5Jq+dBm/eANqT GmDLcAEEVowwTMDyVCpJyK5YkJfKgufuDk1rWPzUWr2rS+czAOG7AtwLaW27bfEqlLE1cfKMeVbx 2nHaxDjs4w30uB2iy6h6K6jhBOlNlQraeAYPqeJF1XbULCiBWP3YKtWbHcVI205PuquASdf1x4hx d2nKDVsQ6YL3b1NTu2unleJrgR2/uNXLeS/biVpT5LVJ4e5oAYh6DzAwg1GRs8od4FgcA0QFcquE Z909oQNgHLSju9MCaWfZ9gjzsTBznuJQ1Td+Sb1pXW+yNwCIy2fjEsUFNOXyxzKy08jj/wBmcZaD IoOIJIdVmnimI1kLF0/1EO7Oz47iJtroP3gI2iay8seTeyI+lzrcgW694zTBsANvMSyZa2I/mCkB RAq0efDAgOErI35lC1TSfzNQ55xUdSvQUi66xTXMtSyxorOZkJYe/wCJWFWg4LKwK8gC45KarF1A roKrrEqRtXkvHUApUeQK7SXpOQGIVwfXB9RNjJy7gFVmHGmAFLGatHi0ark7cXCFssUOvghkJ+JY AQNphqYihX5tqLvBurz9zjrXNwiNgvFpcaSGzXEVBQZa/gx3YuBajZoXXDgjQD9MzIEnYZXxM/wF wSNBz7wu3h0HEBEHAI4UaHDbIi72XTr2my2uKxXsRRyQ41EKL2Vt92AKVab/AHlqrW60biVRHFI6 g86aP7gBAt7a1BtA8kgBAAdjMRWlBVkIBBSkc/LGxD4W47kHA4JfE3Dr2zLNqrpr2ghhqrpOo4qt 74l9AeLqG4l2LwymSiaTI/ESxuWq6P2JiDRO2vqogkovDr4YADTnmvuTnKDHBMJtHhx9xAOl5X+I IDHIXx4ZgUMh3R7EB0ApvG4LSgOk/km1A4dnvF14mzab4iay03WX4vMpdSrlvQcUSiqO1Xk+JsGj Al5X2gQyR4CmChosvO4rbmso7i1uWFxWCY4qCjaOxcQMl5XMuMJZyL1BeaU63Ayr9kHkMAS8RYrT gBv4jpFjebMVegdAUlQCC9P3uBWKjcAwa8JEm855/Ric6iisZ5gtPRzmJp4T7S3VPyy/m+2LUlft OgWdkV6HbuYAoPMGLb6gW603nUy0B+I4VrhIVHk5nizHm3fuyh097iNK+o6NPaF05B3BSrK4hSl4 2AqYgYrome7vzGAhmZTlgzVoU251cbS4Zz95gLi0/MQr096jczx1EuHXUqEfi8wTWb+iIwAqNdkp jn3l9XZ1FZSq6Y0WzXULLtfeAvgPa5qlb0MEqaPk5nHdDwR3B7WeKvBDYfzENUZYWJfUoFG+XqFW /dlKI+TEWL/ePXD3zF0AdzzPaeIX5MwRyGPFwFgvg1ALSi4Ax9sagBvnOJhcFMUV3Md1TvG4hdrH HUs7sXi4K3z3KC9nZAyfn+I07PzD068cRTa88eJZm833GhdGtHUQat5iDGcaxi5e2D3FRV2fmVNh ZpIC6K3UUc3TuUMC07JYOfZmW8+8t1+vHo3tZUzPmFEv7S2Wy2XXmW8S4MFg02Mbe/csPRfmX7lj zG3osly0s3PCC7lkuWTEKSx9LgjTUxduZb3FPMW5bFmOvRct7lo4zSX6WmmX+9+i3t7TyzL1Q1M7 u5ajxLlnMAGCU6i2ujUUy5ZNONy2KefS+WC6nm4sxF8aly+YpNHvArUv/Hz6H6n1P/h5/wDjf1H6 314/w9+vHrxD0Yfp/9k= ------_=_NextPart_001_01C3FFA8.D9B33649--