X-Virus-Scanned: clean according to Sophos on Logan.com Return-Path: Sender: To: lml@lancaironline.net Date: Thu, 28 Jun 2007 19:25:53 -0400 Message-ID: X-Original-Return-Path: Received: from elasmtp-junco.atl.sa.earthlink.net ([209.86.89.63] verified) by logan.com (CommuniGate Pro SMTP 5.1.10) with ESMTP id 2145395 for lml@lancaironline.net; Thu, 28 Jun 2007 08:47:49 -0400 Received-SPF: none receiver=logan.com; client-ip=209.86.89.63; envelope-from=liegner@earthlink.net DomainKey-Signature: a=rsa-sha1; q=dns; c=nofws; s=dk20050327; d=earthlink.net; b=P/dowASSG3fW8yVAp8W2k2pSIPM82ebGqFDkzuubX+z5QB9hbuRVpWp2Co/5+xDH; h=Received:Mime-Version:X-Sender:Message-Id:Date:To:From:Subject:Content-Type:X-ELNK-Trace:X-Originating-IP; Received: from [65.41.94.0] (helo=[172.16.1.4]) by elasmtp-junco.atl.sa.earthlink.net with asmtp (Exim 4.34) id 1I3tOx-0007dq-4B for lml@lancaironline.net; Thu, 28 Jun 2007 08:47:12 -0400 Mime-Version: 1.0 X-Sender: liegner@earthlink.net@pop.earthlink.net X-Original-Message-Id: X-Original-Date: Thu, 28 Jun 2007 08:46:21 -0400 X-Original-To: "Lancair Mailing List" From: "Jeffrey Liegner, MD" Subject: Fwd: Software to review Chelton Data Content-Type: multipart/Related; boundary="============_-1029087665==_mr============" ; type="text/html" X-ELNK-Trace: edc6c9c2805b57e3d780f4a490ca69563f9fea00a6dd62bc8ca87f46968cf047b2dcf3b82d6ec160350badd9bab72f9c350badd9bab72f9c350badd9bab72f9c X-Originating-IP: 65.41.94.0 --============_-1029087665==_mr============ Content-Type: multipart/alternative; boundary="============_-1029087665==_ma============" --============_-1029087665==_ma============ Content-Type: text/plain; charset="iso-8859-1" ; format="flowed" Content-Transfer-Encoding: 8bit Correspondance in April on the subject >Date: Wed, 25 Apr 2007 16:58:26 -0400 >To: "Gordon Pratt, CEO Chelton" >From: "Jeffrey Liegner, MD" >Subject: RE: Appareo Systems with Chelton EFIS >Cc: "Kristi Zick, Appareo" > >Hi Gordon, > >Glad we spoke yesterday. > >I inquired into the Appareo program and found it holds merit, but >had the limitaitons of no engine parameters tied to the 3D >simulation. In discussions, they have a story going back with D2A, >and retain an interest in providing this integrated data for Chelton >users. As you can see in Kristi's company email, they would be >pleased to work with Chelton to represent the engine and related >parametrics into their software product. > >I provided them a LOG file for their review. > >I bet the Lancair (http://www.lancaironline.net/maillist.html) and >Chelton (http://www.cheltonefispilots.com/forums/) listservs would >generate some interest, which could be translated into motivation, >for Appareo to pursue this edit with your Chelton cooperation. I >would be glad to post an inquiry if either corporations wish. > >I share this to facilitate dialogue and investigation. > >Best Regards, > >Jeff L > > > >>Subject: RE: Appareo Systems (with Chelton) >>Date: Wed, 25 Apr 2007 08:39:56 -0500 >>From: "Kristi Zick" >>To: "Jeffrey Liegner, MD" >> >>Hi Jeff, >> >>AS Flight Evaluator provides detail for recreating flight dynamics >>that would be very beneficial when correlated with engine data. To >>date, we do not have a relationship with an engine monitoring >>application; however we'd consider such a relationship. >> >>In our past discussions with Direct 2 Avionics, we were told this >>was of interest to Chelton. At the time, Direct 2 Avionics changed >>direction and the request for integrating Engine Information went >>away. We'd gladly revisit this if Chelton is indeed interested. >>We've done some preliminary investigation and are certain we could >>develop a solution that integrates everything a Chelton customer >>would expect in a very powerful yet simple to use system. >> >>If Chelton wishes to discuss this, please let me know and we'd >>gladly have a call. >> >>I hope this answers your questions. >>-Kristi >> >> >> >>From: Jeffrey Liegner, MD [mailto:liegner@earthlink.net] >>Sent: Tuesday, April 24, 2007 9:14 PM >>To: Kristi Zick >>Subject: Re: Appareo Systems (with Chelton) >> >>Hello, >> >>The Chelton output is rich with engine perfomrance data. Does your >>program provide companion and correlated access to this engine data >>as part of the simulation? >> >> >> >>I have attached a LOG file from the Chelton doawnload for your review. >> >> >> >>Jeff Liegner >> >> >> >>>Hi Jeffrey, >>> >>> >>> >>>Thanks again for giving us a call! It was nice to talk with you a >>>little bit about our products and how they could work with the >>>Chelton Flight Systems. >>> >>> >>> >>>I talked a little bit with our team and there will be no problem >>>at all to input your data into our system. You would need to take >>>the MMC/SC card out of the Chelton unit into a MMC card reader and >>>save the file to a location. Then, all you would need to do is >>>open our software and find the saved file. This will then open >>>your flight in a 3D or 2D version. >>> >>> >>> >>>Our files are a .CSV file, so you will have no problem at all to >>>open the data and visualize it with other pilots. Our software >>>enables you to view the entire flight, fast forward, reverse, etc. >>>You can also take screenshots to show others. >>> >>> >>> >>>Our website www.appareo.com will have >>>more information for you, as well as the latest information on our >>>newest product (ALERTS program). If you have any further questions >>>please let me know. >>> >>> >>> >>>Also, I have included our latest press release for your review. >>> >>> >>> >>>Thanks again, it was nice visiting with you! >>> >>> >>> >>>Kristi Zick >>> >>>Sales & Marketing Analyst >>> >>>Appareo Systems, LLC >>> >>>1805 NDSU Research Park Dr. Suite 214 >>> >>>Fargo, ND 58102 >>> >>>Ph: 701-356-2200 Ext. 233 >>> >>>Fax: 701-356-3157 >>> >>>www.appareo.com >>> >>>kzick@appareo.com >>> >>> >>> >>> >>> >>> >>> >>>For Immediate Release Contact: Michael Jablon >>>February 28, 2007 Cell: 701.361.0301 >>>mjablon@appareo.com >>> >>>Appareo Systems and Bristow Group Unveil ALERTS >>>Advanced technology enables dramatic cost reduction in data flight recording >>> >>>Orlando, FL (2/28/07)ĞAppareo Systems, LLC and Bristow Group, Inc. >>>today unveiled ALERTS - Aircraft Logging and Event Recording for >>>Training and Safety - a jointly developed low-cost self-contained >>>aircraft inertial measurement and flight data recording system. >>>Designed for permanent installation in light aircraft, including >>>Bell 206 and 407 helicopters, the ALERTS system utilizes >>>state-of-the-art MEMS sensor technology, crash-hardened memory and >>>sophisticated 3D computer-generated graphics to provide advanced >>>flight analysis tools for light aircraft. >>> >>>ALERTS is the first affordable light-weight flight data >>>generation, recording and playback system to provide the tools >>>necessary for small operators to dramatically improve flight >>>safety and pilot performance. With this system operators can >>>easily confirm adherence to standard operating procedures or >>>modify these procedures using factual data that reflects best >>>practices of pilots. ALERTS is also a powerful flight training >>>tool that dovetails nicely into existing training programs. >>> >>>Mike Suldo, President of Air Logistics (a Bristow Company) states, >>>"I believe that this revolutionary technology will afford our >>>company a step change in our safety performance. It will enable us >>>to visualize each flight and monitor adherence to our operating >>>procedures and improve our pilot's performance. We have been using >>>a high cost version of this technology in our European fleet for >>>several years with demonstrated success and now we finally have a >>>simple to install, low cost, light weight version for our smaller >>>helicopters. Every customer I have discussed this with wants it on >>>their helicopters." >>> >>> "We are pleased to have had the opportunity to partner with >>>Bristow in creating this outstanding product, which satisfies such >>>an obvious need in the general aviation market, says Barry >>>Batcheller, President and CEO of Appareo Systems. "Our >>>collaboration with Bristow, in which Appareo engineering >>>capabilities were channeled by Bristow's broad experience in >>>helicopter flight operations management, exemplifies the benefits >>>of pooling complementary competencies." >>> >>> >>> >>>ĞmoreĞ >>> >>>Dick Healing, Former National Transportation Safety Board Member >>>and an acknowledged expert on flight safety systems says, "Flight >>>data, when analyzed, provides critical information, desperately >>>needed to improve the safety record for light aircraft and small >>>helicopters. Finding an affordable solution was the biggest >>>challenge. Developing a FOQA capability takes it to a much higher >>>level toward accident prevention." >>> >>>Availability and Pricing >>>Airborne components of the system will sell for less than $5,000 >>>per aircraft, software included. Annual service plans vary >>>dependant upon fleet size. Demonstrations will be available at >>>Heli-Expo 2007 in Orlando, FL from March 1-3 at booth 342. >>>Commercial products will be available pending completion of FAA >>>STC anticipated for early this spring. The ALERTS system has >>>recently completed the manufacture environment testing and is >>>scheduled for DO160 Environmental Testing for the STC approval. >>> >>>About Appareo >>>Appareo Systems is a privately held engineering and manufacturing >>>company located in Fargo, N.D specializing in inertial measurement >>>and playback systems for general aviation. Its flight recorders >>>and flight playback software products enhance pilots' capabilities >>>through improved training, increased safety and reduced costs. For >>>additional information, visit www.appareo.com . >>> >>>About Bristow >>>Bristow Group Inc. is a major provider of helicopter services to >>>the oil and gas industry worldwide. Through its subsidiaries, >>>affiliates and joint venture, the Company provides transportation >>>services in most oil and gas producing regions including the U.S. >>>Gulf of Mexico and Alaska, the North Sea, Africa, Mexico, South >>>America, Australia, Russia, Egypt and the Far East. Additionally, >>>the Company is a leading provider of production management >>>services for oil and gas production facilities in the U.S. Gulf of >>>Mexico. The Company's Common Stock trades on the New York Stock >>>Exchange under the symbol BRS. >>> >>># # # >>> >> --============_-1029087665==_ma============ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: 8bit Fwd: Software to review Chelton Data
Correspondance in April on the subject


Date: Wed, 25 Apr 2007 16:58:26 -0400
To: "Gordon Pratt, CEO Chelton"<InteracSol@aol.com>
From: "Jeffrey Liegner, MD" <liegner@earthlink.net>
Subject: RE: Appareo Systems with Chelton EFIS
Cc: "Kristi Zick, Appareo" <kzick@appareo.com>

Hi Gordon,

Glad we spoke yesterday.

I inquired into the Appareo program and found it holds merit, but had the limitaitons of no engine parameters tied to the 3D simulation.  In discussions, they have a story going back with D2A, and retain an interest in providing this integrated data for Chelton users.  As you can see in Kristi's company email, they would be pleased to work with Chelton to represent the engine and related parametrics into their software product.

I provided them a LOG file for their review.

I bet the Lancair (http://www.lancaironline.net/maillist.html) and Chelton (http://www.cheltonefispilots.com/forums/) listservs would generate some interest, which could be translated into motivation, for Appareo to pursue this edit with your Chelton cooperation.  I would be glad to post an inquiry if either corporations wish.

I share this to facilitate dialogue and investigation.

Best Regards,

Jeff L



Subject: RE: Appareo Systems (with Chelton)
Date: Wed, 25 Apr 2007 08:39:56 -0500
From: "Kristi Zick" <kzick@appareo.com>
To: "Jeffrey Liegner, MD" <liegner@earthlink.net>
Hi Jeff,
 
AS Flight Evaluator provides detail for recreating flight dynamics that would be very beneficial when correlated with engine data.  To date, we do not have a relationship with an engine monitoring application; however we'd consider such a relationship.
 
In our past discussions with Direct 2 Avionics, we were told this was of interest to Chelton.  At the time, Direct 2 Avionics changed direction and the request for integrating Engine Information went away.  We'd gladly revisit this if Chelton is indeed interested.  We've done some preliminary investigation and are certain we could develop a solution that integrates everything a Chelton customer would expect in a very powerful yet simple to use system.
 
If Chelton wishes to discuss this, please let me know and we'd gladly have a call.
 
I hope this answers your questions.
-Kristi
 
 

From: Jeffrey Liegner, MD [mailto:liegner@earthlink.net]
Sent: Tuesday, April 24, 2007 9:14 PM
To: Kristi Zick
Subject: Re: Appareo Systems (with Chelton)
 
Hello,
 
The Chelton output is rich with engine perfomrance data.  Does your program provide companion and correlated access to this engine data as part of the simulation?

 
I have attached a LOG file from the Chelton doawnload for your review.
 
 
 
Jeff Liegner
 
 
Hi Jeffrey,
 
Thanks again for giving us a call! It was nice to talk with you a little bit about our products and how they could work with the Chelton Flight Systems.
 
I talked a little bit with our team and there will be no problem at all to input your data into our system. You would need to take the MMC/SC card out of the Chelton unit into a MMC card reader and save the file to a location. Then, all you would need to do is open our software and find the saved file. This will then open your flight in a 3D or 2D version.
 
Our files are a .CSV file, so you will have no problem at all to open the data and visualize it with other pilots. Our software enables you to view the entire flight, fast forward, reverse, etc. You can also take screenshots to show others.
 
Our website www.appareo.com will have more information for you, as well as the latest information on our newest product (ALERTS program). If you have any further questions please let me know.
 
Also, I have included our latest press release for your review.
 
Thanks again, it was nice visiting with you!
 
Kristi Zick
Sales & Marketing Analyst
Appareo Systems, LLC
1805 NDSU Research Park Dr. Suite 214
Fargo, ND 58102
Ph: 701-356-2200 Ext. 233

Fax: 701-356-3157
www.appareo.com
kzick@appareo.com

 


 

For Immediate Release                          Contact: Michael Jablon
February 28, 2007                                        Cell: 701.361.0301
mjablon@appareo.com

Appareo Systems and Bristow Group Unveil ALERTS
Advanced technology enables dramatic cost reduction in data flight recording

Orlando, FL (2/28/07)ĞAppareo Systems, LLC and Bristow Group, Inc. today unveiled ALERTS - Aircraft Logging and Event Recording for Training and Safety - a jointly developed low-cost self-contained aircraft inertial measurement and flight data recording system.  Designed for permanent installation in light aircraft, including Bell 206 and 407 helicopters, the ALERTS system utilizes state-of-the-art MEMS sensor technology, crash-hardened memory and sophisticated 3D computer-generated graphics to provide advanced flight analysis tools for light aircraft.

ALERTS is the first affordable light-weight flight data generation, recording and playback system to provide the tools necessary for small operators to dramatically improve flight safety and pilot performance. With this system operators can easily confirm adherence to standard operating procedures or modify these procedures using factual data that reflects best practices of pilots. ALERTS is also a powerful flight training tool that dovetails nicely into existing training programs.

Mike Suldo, President of Air Logistics (a Bristow Company) states, ³I believe that this revolutionary technology will afford our company a step change in our safety performance. It will enable us to visualize each flight and monitor adherence to our operating procedures and improve our pilot¹s performance. We have been using a high cost version of this technology in our European fleet for several years with demonstrated success and now we finally have a simple to install, low cost, light weight version for our smaller helicopters. Every customer I have discussed this with wants it on their helicopters.²

 ³We are pleased to have had the opportunity to partner with Bristow in creating this outstanding product, which satisfies such an obvious need in the general aviation market, says Barry Batcheller, President and CEO of Appareo Systems.  ³Our collaboration with Bristow, in which Appareo engineering capabilities were channeled by Bristow¹s broad experience in helicopter flight operations management, exemplifies the benefits of pooling complementary competencies.²   



ĞmoreĞ

Dick Healing, Former National Transportation Safety Board Member and an acknowledged expert on flight safety systems says, ³Flight data, when analyzed, provides critical information, desperately needed to improve the safety record for light aircraft and small helicopters.  Finding an affordable solution was the biggest challenge. Developing a FOQA capability takes it to a much higher level toward accident prevention.²

Availability and Pricing
Airborne components of the system will sell for less than $5,000 per aircraft, software included.  Annual service plans vary dependant upon fleet size.  Demonstrations will be available at Heli-Expo 2007 in Orlando, FL from March 1-3 at booth 342. Commercial products will be available pending completion of FAA STC anticipated for early this spring. The ALERTS system has recently completed the manufacture environment testing and is scheduled for DO160 Environmental Testing for the STC approval.

About Appareo
Appareo Systems is a privately held engineering and manufacturing company located in Fargo, N.D specializing in inertial measurement and playback systems for general aviation. Its flight recorders and flight playback software products enhance pilots¹ capabilities through improved training, increased safety and reduced costs. For additional information, visit www.appareo.com .

About Bristow
Bristow Group Inc. is a major provider of helicopter services to the oil and gas industry worldwide. Through its subsidiaries, affiliates and joint venture, the Company provides transportation services in most oil and gas producing regions including the U.S. Gulf of Mexico and Alaska, the North Sea, Africa, Mexico, South America, Australia, Russia, Egypt and the Far East. Additionally, the Company is a leading provider of production management services for oil and gas production facilities in the U.S. Gulf of Mexico. The Company¹s Common Stock trades on the New York Stock Exchange under the symbol BRS.

# # #
 

--============_-1029087665==_ma============-- --============_-1029087665==_mr============ Content-Id: Content-Type: image/jpeg; name="image001_213.jpg" ; x-mac-type="4A504547" ; x-mac-creator="70727677" Content-Disposition: attachment; filename="image001_213.jpg" Content-Transfer-Encoding: base64 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEY Ix8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQ EBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7 Ozs7Ozv/wAARCAHPAlcDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQF BgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEI I0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNk ZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLD xMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEB AQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJB UQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZH SElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaan qKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oA DAMBAAIRAxEAPwD1miivOLzxnq0erzGG5BtUnO2Py1wUB6ZxnkVnWrwo25up2YTBVcW2 qdtO56PRXMeKvEMtlpVnPps4R7o71baDlMZ6Ee4qLW9b1HTPDGnzC423txtLuUXONuTx jHcDpSliIR5r9P1Kp4CrNQat7zaXy36HWUVxFtJ44u7aO5huEMcqhlJWIZB/Cn65quv6 PpGnma7CXcrSecQiEEAjHbHT0qHikouTi0jX+zZOapxqRbbto/Xy8jtKK5fVfEVxYeFb K4WUG+u402ttHXALNjp/+sU3wt4gubvS7661OfzBandu2gfLgnGAB6Vf1iHPyeVzJ4Cs qLq9E7eb1tp8zqqK5Dwrq+saxf3Fxc3GLKEE+WI1AyegzjPA9/So/C2u6trOtyLNck2q IzlPLUd8AZAz3/SlHExly2T94ueW1Yc92vcSb369Ntzs6KKpXGs6VaXsdjc6nZwXUuNk Ek6rI+TgYUnJya6DzS7RUdxcQWkDz3M0cMSDLySMFVR6knpWfa+KPD99cLb2mt6fPM33 Y47lGY/QA80AalFFZD+LPDUbtHJ4h0tHUkMrXsYIPoeaANeisq48T6Fa29tcS6taCG7Y rBIsoZZSDghSM55qb+3dKOsf2OL6H+0MZ+z5+fGM9PpzTAv0UVT1PVtP0W1F1qV3Fawl ggeQ4GT0H6GkBcopkMsc8KTRMHjkUMrDoQeQaTz4fO8nzU83+5uG78qYElFFZD+LPDUb tHJ4h0tHUkMrXsYIPoeaQGvRUNpeWt/bLc2dzFcwPnbLC4dWwcHBHB5qamAUUVQ1PXNL 0YwjUr6K1NwxWISHG88cD8xSAv0UUUAFFFRtPCkixvKiu33VLAE/QUASUUUUAFFNd0jj aSRgiKCWZjgADuTWanijw9LFJLHr2mvHCAZHW7jIQE4BJzxyQKANSiqg1bTWu4bRdRtT czx+ZFCJl3yJydyrnJHB5HpVumAUUUUgCiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKmq3X2LS rq5HWKJmX644/WvPtF0L+0vDepXITM0bDyTjnKjLAfUGu91rTW1fS5bET+R5hGX27uAQ emR6UmiaSui6YlmsnmkMWZ9u3cSfTJ7YH4VyVaLq1feWlvxPVwuLjhsNLkfvuS+5anmN vJcarLp+mu2UR/Ljx1AZua3/AB1I1zrVnp8Qz5cYCgf3mOMfoK2rHwbDY66NSjusxq7M kHlY25BwM57Z9Ki1fwU2rapNfNqXl+aRhPIztAAHXd7Vy/V6qpNNXbffoj1nmGFliYT5 rRin0fxPcgTwPfIqquvShV4ChGAA/wC+qd8QkxplmR0WUj/x3/61PsfA7Wl/Bcyaq8yx SB9nlY3YOeu41reIdD/t6zjt/tPkeXJv3bN2eCMYyPWtnRboyio2b87nD9bisVTnKrzJ X15bW/zOL0iCXxNqltFMv+i2NsqkZOMAY/Mn9PpWTb6hLFpdxp0YJF1IhOO4GePxOPyr 0rw/oMWg2jwrL50kjbnk27c+gxk9P6msvTfA0Vjqkd5JeeesTb1i8naM9ucnpWLwtS0b bvc7YZphueon8KtyrXVq7/PuW7fTJNG8HzW0EbPcmBiwjGSZGHbHXHT8KreBdLnsLG4m uYJIZZpAAsilTtA9D7k1ra5pc2r2a28N61oRIHLquSRg8dR6/pUukae2madHaPcNcMpJ MjDBbJz6mu1UrVU7aJWR5EsVfDTTl703dqz/AD2Ga7rVr4e0W51S8bEVum7aOrnso9yc Cvne9vZry5g8Z3uqW8l9PqIb7EjAvGiYIYjOQONoBHQA5r27xn4Lk8ZSWMU2qtbWFtJ5 ktskO4zH/e3DHGQODjJqr4l+F+ha3pS2mn21rpMyyBxcQ2qliACCpwRkHPr2rfW9zzdL WM34r6BrOv2+lTaZaNf2ls7SXFqkm0vnGDjvwGHHI3cVh+Gl8E6v4lsNPm8NXmgazbOs kcbOxVynzBW3c8gZ5UE+tdTqXw/1afVI9T0zxdd6fcC3jhlCw5STYuAdoYD1ODnk1P4f +Ho0zX/+Eg1fWbnWNTVSscsi7FQEY4XJ7EjrjnpTWjE9jotf1EaR4fv9RP8Ay7W7yAep AOB+eK8H8J6E91pBu7jwHc68JpC0d0t88AwOCMDryDzXt/izQX8TeHbnSEvTZ/aNu6UR 78AMDjGR1x61Y8P6PHoGg2elRP5i2sQTft27z3OO2Tk0ktWxt6JHmutabaz/ABL8K+F7 K3ENnpcYnMSsW2HJcgk8n7i8n1p9n4ySLVvFfiWXTLJ4tMYQW8scAWWZmbYoaTqRhRn2 NddaeCWtvGmp+J21LzJr2ExRR+RgQcKAc7vm4X0Fc3f+DrDwh8PbrSb3+0NXS/u1aSWx twJUOAQdpJGBs7n+KjW1/wCtWFtbf1oZmoeLvHuleFrfxTd6jp6Q6hIqwWP2cHapBIYH ryBnBJ4PrxUvxOm1HVrHwr4el2PqN8VlmA+VRIQFH0GWb8q5/S/Deo+JNc0nTrVdel0e zZWmfVU2RxqDyqLkgcccHPPQAV6peeCxe+PrPxTNf5Wzh8uO08njOG53bvVielO19+4r /kc3oPiPxdB8Sx4Y1WeyuIBDudLWLCQjZuG08N1wPmzWF4WtfEniD4i63q9tqNlHd2Te RJM8BaNhkoNo7cJ/nNeg6R4LGm+M9U8TT6h9pmv1KJH5OzyVyOM7jnhVHQdKz/Cvw9vv CuryT2/iSWWwllaSS0NsAZDghdz5PTPYDOKFumwezSOo17URpHh+/wBRPJtrd5B7kA4H 514V4R8Oz3ejm8n8CS68s8haK6/tFoMAcEbQeeQea9s8WaC/ibw7c6Ql6bP7Rt3SiPfg BgcYyOuPWuV0j4ba7o/2WGHxzeCyt5A32ZLcorLuyV/1nGefzpW1G3oMXXpPCHjfTfC6 pb2WhGyM+w5JiO12b5ycn5lP50/w9401fWbfV/EF3PaadoUG6Ox+0rt3v0Us3Jx0zgHk 4HSr3jr4cReNb+zuzqX2JrdDG+IPMMi5yOdwxjn161c8Q+BbPWfB8Phu0nNhDblDCyrv A25+8MjOcnv15od2r/1uCtex53qPxI8Q2P2S7sfEdtqpnfZ9mXS3ijPrh2ALc4HBHWtz xaW1/wCLnhvR2HyWSC5lA5w33yD+CL+daC/DG+uL7Rp9U8USXsWkspjtzaKi4UggDDcc KoOQTxWzYeCxa+OdQ8UTX5ne8i8pIPK2+UMKPvbjnhfQdafVf16C6GV4W8a6hrGp+Jrq 7eEaRpJfySqYJALHJbv8q/rVPQfHOq3Xw/vNd1bUNPsZ5JzFZvMhCYAGTtXLMfvcAdqh t/g/e2llf2Fr4vuoLO8OTCsHB5/j+f5vlyDjGf0rR1P4WRXvhXSNFt9Va3k0tmdZ/I3L IWOWJTdxz05NLp93/BH1ObtfiB4gj8V6VZW+tw6zb6hKivGdONuEUsBlSQCeMnPI4pt7 BrviL40TxWt7aJPpCFoJHhLIiDBAI7tmTGfUV1th8PbyPxfZ+I9W8Ry6pNaR7Vje2VOd pHBBwBlicY/Gktvh7fWHjG616w8SS28V7OJbi2+zBi67txTeTwM98ZAppaq/n/wBPZ/L /gmXbeJfF/ivXrzRdCvLSwh0tRHdX7wB2klGQdqnIALA4GOAM57VT074max/wges316b aTUdOmjghmRfllLHGSOnGGPGPpWvcfDK+g1XUrrQPFE+lQ6oSbiIW4c5JJOG3DH3jjHI 9adffCexm8L2ugWOoSWsMVz9pnleLzHnbGOeQBweKWrQ+pa8KT+ONVNpda8umJpk9uXa OJD5sm4fKGB4HXt6VRPw+kGg61YLp9mhvtVEsYjwn+jCRG2ZAGBhW4FegxxrFGsaDCoA oHoBTqp2uLW1mefaX8Op9F8V6VqcN2byO2eZWeViDDB5e2KJRk525PPHWvQaKKOlgCii ikAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFGKACijFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVLVb/8As+08xQplkYJGGzjPUk47 AAn3xjvV2uf8YuY9Nt2HaZv/AETJVJXYGTPqzTTu5nn+Y5+Wd0A9gFIAH+Tk1EdQk7T3 H/gXN/8AF1zi3Z3da9Ik8N6el7HAml3DwuuWuFnAVD6EFtx/AHrWsuWO5K1OZ/tCX/nv cf8AgXL/APFUf2hL/wA97j/wLl/+KqXTbSxu7fxBKEkkXTw/kF9yk7Q/Ucf3RUNlb28v g/UNUePdcQEbDuOBwvb8aLxGL/aEv/Pe4/8AAuX/AOKo/tCX/nvcf+Bcv/xVaVnoljrd raXVgfIVX23kbOSV4zxn/PPtXNXuoWdzqM/9mQ7LGNtkTliTMR1fntngfTPehNN2Eaf9 oS/897j/AMC5f/iqP7Ql/wCe9x/4Fy//ABVX7TQbe/8ADEFzAdt/LvKAv/rNrH5QPXAq rNpiNaaGkSGOe/lZJWYn5cZ7dqLxGRf2hL/z3uP/AALl/wDiqP7Ql/573H/gXL/8VWjH F4fk8QSeHlsrrzYxtN2ZON+3djGfQjnHWoItGS40u/ihQvf2l4IM7jgqXUZx9CTS5ohZ lX+0Jf8Anvcf+Bcv/wAVR/aEv/Pe4/8AAuX/AOKrduvDNkdRsUtELQea0d1hySDs3D6d MfiK425uomv7sW6bII7iSOIZzlVYrn8cE04uMtgN24/tC1gimnN0kcv3GN3Lz3/v1VbU Zh/y3uP/AAKl/wDiqXw9dmRrrTxHDI91GTCs43J5qg7cjI69OCO1PtbTXbiaOOXQLJQ7 AFjazRhR3J/eGjbcCs2rSjrPc49ruYf+zV0vh7Xm1KVrWYhnEYeNwMFwMBt2OMglTkYz v4HBrgtXv7S41S8bTowlksuyAg5DhQAWByeC27HtitbwBKZNeIzwLab/ANChokly3BHo tFFFYDCiiigApaSloAKKKKACiiigArzrW/iFqli2IrKOIMcIroST1/iyPT0r0WvLvFSx xXEWIo2ZJiCZEDDuOhBH6UmNEcXxO12Q8WVr/wB8n/Gr8PjvxHcJm306CVsfdWFz/JjV 3QbeC20trpo0WRssfKjCk/QAD9K14rzdDZukRc3J2srP8yEfeHQ8j5s9OlLYq1znV8b+ JzL5TaPAj56SIyf+hMKlbxj4nQEtpun4HUiVT/KStq4jhmubmR7bJtiEBVs7zgMByBz8 w9efwzAkdp51qgi/d3g3BjkFcY4IxxyQOT1468U7hykNp4i8R3SB/I0yIEgYkEoPPSqd x421y2eRGt7BzGMsESX+uOPfvWvujcPKgVGil8sBZOf9YU+bjgZGazNQtvtOmSMWIYnD dApGcDHTjPIPcc96SYNFF/iVqMahvsls2fSN/wCproLPWPEN5aRXKQ6WqyoHAZ5AcEd+ K8zniaNvLOOG7EEdAeor0bw7KJNGgTeGaNdpx2B5H6EU2xIsXGt65ahfNttOYsCRslk5 x2+71pNP8SahqFsZobaxcKeR57qRxnulR6jN/pdvCrgEAyNgjgcAfzP5VykOqT6bLcCx LCEtwCAcAZx1+tJag7HXP4n1WOUxDQ0kbOBi8VN303AZ/CmTeLtSt4i8vh2T5WClY7kS EZ/3VPqPzqjpmoDXrXy3ZkeN1kIXHzYOR+oB/Coo7zT1txGt88xEyMHMbHcwK8FsfQfh 7UxF2Tx81vGJLvRLm2UsV/eblx78qOKlT4gac9p9p8r5QCWUTIGAHXhiM1lR6lao1zMU ujmchgAn3gMZ5OQcccYpb2WHUdKnuPs7MEhba0yKSCB1H+I/pQ9BnUeHfE+neJraWawM g8lgrpIoDDPQ8E8Hn8jWxXnPwnXEuuN6yxj/ANDr0ahO6EwooopiCiiigAooooASisRd ambxGbQiL7CXNsr87zOEDn227cj6ilu/EJSxvbizsriVLeOUpOVXymdMgj727AIPOADg 4PSt/q9S6Vt7fiTzo2qKqG/EWmSX1xBLCsUbSPG20sAAT2JHb1qofEMCJN51pdQyReXt idF3S+YxVNuDjkgjkjHfFSqU5bIOZI1qKzYtdtm2iaKa2fzmhdJVGY2CF+SCRgqMggkU /T9YtdT2/Zt53RCU7lxtBYrg+hyrDHsaHSmldrQfMi/RXPnxO1vdaol1YT+VaXSW8DRK pMrMse1B833i0nBwABjJHNaemammpRSkQTW00EnlTQTgb42wGwdpIOQwOQSOazGXaKxo fEttPfJALW5WCSWSKK7YKIpHQMXA+bdxsbkqAccE1nS+OrWfSr64sLeVporKS7tfM2FZ 0UD5sK+QPmUkNtbB6dcIDqqKpSaktvo8upXVvNbpDE0skbBS4VQSfukjoPWsyTxfDC06 zaVqMf2YLJPuSP8AdwtnEp+f7vytwPmGDlafkHS50FFY8viS2i1F7X7LdPFFOlvLdqq+ VHK+NqH5txzuXkKQNwyeuGS+KrKG2uLl4LoQwTGDzCgVZJRJ5exSSMkt34X1IwaQG3RW fo+s2+tW8ksKPG8MnlSxOVJRsA4yhZTwwPBPX1rI07xHc4luL+3uis99JaWsEcKHlGkH BDEniM5JwAfbmmB09FYp8T24vPINleCJJY4JrnavlwyuF2xt827PzqMgFQWHPXEb+LIF uBDHpmoS+ZLJBC6Im2WVC25FywOfkY5OF4654oA3qKqafqMOo6cl8ivEh3bllADRlSQy nGRkEEcHtWPa+N9LuoppliuFjjtmu0b5G86FcbnAViRgMpwwVuenXAB0dFZN74l0+xS5 d2d1tvKBKYwzyHCICSBuOVPOAAwJIFQw+LLKe2SVbe5Mr3P2U26KsjrJs34yjFSNvOQS Oecc4ANyisseILTJR450nFxHbGBlG/e6hh3wRtJJIPRW9K1KACub8cZOk24XqZ2x/wB+ ZK6Sq9/YxajZSWs5YI+DlDgqQQQR7ggH04oTs7geLrI27vXdXXjfQ7rVYdROmay01uNs ex41Q9eo8znr3qvfeAr5ruQ2ptWhLEozzMjEe6hGGe2QeeuB0EI8BauP+fL/AMCn/wDj VbScZbi1DTvFoXVNWudQsma11PhreJgWRAu0DOQMkZJ5HLVHqXiDT00GTQ9CsbqNLlwZ 57or8q5GQACSTgY7AZzUv/CC6x/05f8AgU//AMapf+EF1j/py/8AAp//AI1U+6GpV0rX 4dK0nVbaS3uJpL2Hy4/K2/KdrDJ3MOPmHTNY8bbIkQDG0AYHaui/4QXWP+nL/wACn/8A jVH/AAgusf8ATl/4FP8A/GqtSincVipP4gK6Vo9naRzpc2E7zNOduznfgDnJPzDtirms eMBf3GlTW1nLFNZSGWVm2+WxI5Awc8+4pP8AhBdY/wCnL/wKf/41R/wgusf9OX/gU/8A 8aqfcHqWm8VaBDqL6zHpF8+ouM+WrJsL7duclvQYzj8M1S8NeKzpF1qF7qUM073zmVkt tp2sWJAG4jgA469qf/wgusf9OX/gU/8A8ao/4QXWP+nL/wACn/8AjVL3Q1H6F42Ol2uo Pd2lzPPd3MlxGkew7C2cA5YcABRxmuXti8dtGkjFpAo3n1bufzrpf+EF1j/py/8AAp// AI1R/wAILrH/AE5f+BT/APxqqTitg1MnTHZtTtgtwtu3mqRK5wqHPU1s3UugeIPEV5FH JJbFmYC+NyDC7KOTj0OCODTP+EF1j/py/wDAp/8A41QPAusDgCx/8Cn/APjVDabuBylx 5aqUt3R4oyURozlWAOMj24rovhyCNcOe9tMf/HoasnwJqxXBWx4/6enx/wCiq63QtAtt Dik8p2klmCiRzwPlBwFXsMlj3PPJPFKU01YEjVooorEYUUUUAFLSUtABRRRQAUUUUAJX mvjgFJZHAA2zEgg+9elV518Ql2pcsGzjB5PSl1GiPQdU3WsS7JCULFirkbQOeQMeo/X8 esjNteRRSywRuGTJDxqc5xjrXkml3zJdQwhZ3SUlXigJDPx04z7cV1//AAlFtZWi26hQ yDCq7BnC9hhSfmAxkMVolYqLZ0l21hZxQAwwKWUgkQqMn1/nxVRb7TSW3JbgEBV3wqcH +92z2/KuenuNQ1V4riKwmn4IVnBjjK/QHIP/AAM0RaPrTKv722s9p+XZ98f8CAJP4mp1 fQo6FdUtYlMtpaq6qACY7fgEdTkCsm91tjHPMWTMmAqmaMgfVSSf09aYnhyVplluNSeV x13Rbv8A0In+VP8A+EU0/YEeS5cA5wXUfyFUosTaObeKFkP+nQZz93Emf/QMfrV7TNYO nKAl1IuDzttlYN9cuK34vD2lRqQLUnIwcyvz+tTJommJ0so/xJP8zR7OQuaJz39sytLN MtwZGkHzl0VCwA4H3j+AqudTj3GTyrhXAABSZAMDp1jNdeNMsAP+PG2/79LT/wCz7Ef8 uVt/35X/AAo9nLuLmRwkOozWt2Lm2juI5ckhvtEZAz7eUB3q5b3xf5TMLcEc5t4sf+Op XXGzsf8Anytv+/K/4Un2LTyP+PC2/wC/K/4U/Zy7i5kYMWmS3iM0OoxyKTubYVHPuAOD VHVbi+sLNLV7hnglO0AbcYz3wuf1rrVsbIHK2cSEjGVG3j8KzfEOn2UejTzCDEibSreY xx8wHrRKMrDTVx/woj/0DVJu73QX8l/+vXf1w3wnGfDV2/8AevW5/wCAJXc1MdhPcKKK KoQUUUUAFFFFAHLjQbpUUjR9OE6zCf7V9tbzi+/cSW8jueMehxSrpGrqs8Igg+yTiTda /wBoHYN+dxB8jd1JPXAzWaPE2orLq4trxdSvIbe4lht7YxywxFGwgYKBKr4IyrZyQ2DS Q+IL1dJvJoNetb+FZLcNdxyRzPaq74kdtiKoCrgjIOOS2QK6/rUn0X4/5mfs0nubhttc k0qTT7i3tZ1ljaNpXvyHIYEdoAOh9Kiu9N1S8eSR7G0V3SJQy6g2UMbFkYfueoJ75HHS s261sR/Y4x4uEenvHM/9q4gPmyKVCxbtvlngscAAnbx0OVutW1ybT57v7Y1hLZ6PDfvA sCkNKRIWRt4JC/IBgYPuKlV2tVFfj/n5D9nfS/5FubSNQksJLa8tbWbz51lllk1Fg0jD AA4gAAIAXAA49zmtLSbG6tL68nms7eEXbeYxiumkIYdgDGuB949TyT68c5q+qNc62tpd asIJItUtUt9MAjHnx7o28w5Bc8ljlSB8uD3z0fiHUptGs49TGWtbaTN4ipuYxEEFh7qS D9AaJYiUoWa0fr5eYlBX/rzGXfhqC7uLqU3l3ELl0lMcZTakybdsq5UkMNi8ZKnHINXN M0xNNilH2ia5mnk82aecrvkbAXJCgKMBQMADpXOX2q6jbJpyatrA0RLi3lnluNsXyy7l KQZcFeFY9tzbOD1pl34tubHTZ5NQnhsruTRY7m3hkTaTcESFwoPJxhMrzjvXPb+v69DX ctWvhy+TxAkr7I9Mgmmmih+1GUEyBgcJ5a7c72PLNjoMA1etfC8FtZTWDahez2Mlu1st tIY9sUZGMBlQMcDgFiTUniO9msdCaeG9t7JyyKZ53VFUFhuwzAqGxnG4EZxmufbxIHtt NE3iJ9Nt7mK5JvJxb75WjdAu04MZBBYggcjoB2XkC3ujqG0oTaHLpV1eXFys0LwvPJsE hDAj+FQuQD6du9RXegWl41+0rzD+0LVbWXaw4Rd+COOvzn17Vyl34l1oG1FzqFtpEp0+ GeNbllhS5mbdvUh0YkDC5VSGG7ryMa13f6ot/d3MeoMkFnqVtbC2ESFJEkEO7cSN2R5h IwR75qle4rdC/N4dtX1I3BvbmOKe4S4ezDIIpZkA2t93dkbFOAwB28jrmWbQLObTJNOa WZVe4a5SRWAeOQyGQMvGOGPGQR2Oa5y11NtQ8VaYtzqwe7S+uVbSwIx9mRUlVWxjfkjb yTg78gdK1fE1/Np9y09uIhLFpN7MkjRhmVl8ojBPOOeR0OB6UuiGtXY2NOspLGBo5L64 vGZtxknCA/QBFUY/Cq66PZ24tiZpFFveSXSFmHLybwQeOn704HXp17waTJfRa1e2F3fv eIsENwjPGiFC7SAqNoHy/IMZyeTkmud1E7dR1q1/tQpcSapZyx2zKmQpa2AkAxuIBBXO ccc80dbAjpJfDdvLqL3X2u6SGWdLmW0Vl8qSVNu1z8u4fdU4DAHaMjrmVNBtY3tWEk2b W7lu0yRy8m/cDx0/eNj6Dmuc1DWNV02KWzl1UiKLUhby6lMI42jjMAkG47DGpLsFyVxg gdSDXRaFeTXOgx3NxdQ3j/P++tmDrIoYhSCAATgDOABnOOKL2QvIs2dhb2Fk9spLRM8k jeYQfvuzt+GWP4VU0nQV0kCOPULue1SPyorabyykadgCEDNgDHzE8VyNr4lu77TdV/06 HUbaTSZrlFmaKVoXAH7uRUjVRwwyp3Hg5Pr1emzX13rGoeZeYtbSdYkgWJRnMKMct16v xjH40We4DIPCWm22htpELTrF5omWbfmVHBBQgkfw7VABBGFAORViDRljNr9o1C6u5bac 3CPL5aknYyYwiqMYY9B171m67qusWerGx09FleeAT24KcARkmVSf9oGNR6F89qydSvrr WtFecAH7dpOoS27LApkEW6PywMjPzKQSO5I9BSv1GlrY6M6PHN4w/teQRZgtFjjUMSxY s2WZegwMhT/tPWzXCT3U7Pqeq6Vr5mFrpMU4nRInW4KvcHaxC428EHbg+9d0pyoPqKdr CFopskixRtI5wqjJPtUCPfSqHS2gVW5AknIbHuAp/nSAs0VB/wATD/nha/8AgQ3/AMRR /wATD/nha/8AgQ3/AMRRcCeioP8AiYf88LX/AMCG/wDiKP8AiYf88LX/AMCG/wDiKLgT 0VB/xMP+eFr/AOBDf/EUf8TD/nha/wDgQ3/xFFwJ6Kg/4mH/ADwtf/Ahv/iKP+Jh/wA8 LX/wIb/4ii4E9FQf8TD/AJ4Wv/gQ3/xFH/Ew/wCeFr/4EN/8RRcCeioP+Jh/zwtf/Ahv /iKP+Jh/zwtf/Ahv/iKLgT0VB/xMP+eFr/4EN/8AEUf8TD/nha/+BDf/ABFFwJ6KyLjU NZiuZIorDTnVCBue/dSeAenkn19aiGq62SQNO0s7Tg41KTj/AMgVoqcnqTzI3KKoaZq0 eoPPAVEdzbMFmjDbgM8gg4GQfwq/UNNOzK3CiiikAUtJS0AFFFFABRRRQAVxnjGwkv3m jSFpiUARFbbu4/vHgDpn6j1zXZ1j6sgEzHHLRjP60Wuxp2OAsvCzLblb65WKJuTbWQKI R1wzHLP3+9nHrWtZ2+k6coNtbxRHaHDqhZsE4HzcmpruVoLOeVdpaONmwwyDgZ5FUo9R DGMie3ufMnSNtkJXaDuPcnJyOKt2QuZm15yFcltxD7Tjnn0o3Dg881n3l48c5gjCBiIy rMudpZyuaqyXs9s4T7QJts6BgtvtbB3AgDHOccY96OZIDbHWlrDkv7mb7fJHNLCLdFZE aIA9D1BGe361b1GaWz0qV452aRMYdgM/eHoMdOOlCmKxpD1FKDWSLmS1aCSaWZYmkKSC fZnleD8vAGRj8aqSam6CCR7jawTz2QOPnDOCFweuFB/SjnCx0YpjNk4rM+1t9i1JhIxK M4Q5+78gIx6VV1LUJUu5vJdubYKgUk/MzYDADv8A4U+cTRtn601nZeiFuM/qP8a54SGR IYjJc7ku/KJaaRWZCCwyMg9CBnrxQ88UeDDcObkXMispnZiIwX4K5PGAOcUucR0ULs4y 0ZTjoTz3qh4n/wCRduiOwT/0Nap6Ixjuod0Txb7XcSZS/mnK/MQemP8A2b2qfxXcIvh6 dRzux/PP9KHK8Rx3LnwoXHhGQ4xvu3P/AI6o/pXbVyfwzj2eCrZv78kjf+PEf0rrKzjs W9wooopiCiiigAooooAx/wC3Wj1WGyudKu7dLmV4YLhzGVkZVLdAxYAhWIyO3OOKrab4 tivmsTNpV9ZQaj/x63E3lmOQ43AfI5KkgHG4DOPWiTStSu/ElvqE1tY2yWrOBcQzM808 ZBAjZSgCjJDHk8qMetVdK0LWl03TNL1H7DDaacYmLW8ryvOY+V+8qhBkKT97OMcULoPu dBe6jYabEJL+9t7SPqGnlVB1A7n1I/OoZNas4Lu5iuZY4Iba3ine4lkCx7XZwOT0+5+o rO1uLUW8R6dLp9hb3RS0uVY3LtHGmWix8wRueDxgZGeeKqDwzqljYCGwuoS6Wdpbgsxj 8wRO5cZAbYCrYBGSP1oCyOkt76yu44pra6gmScHynjkDCTHXBHX8KzNZ1XRhJDZ6ncQJ ayBpjNJcBI1aKSP5Scjncw49iDWPPoWo6d4euHhUDUv7QW6sxHJJciJ2CoQzONxU5fcT 0BJ46C/NoV7YPpbaVb2d2LK1mgcXkzRlmcoS+QjZJKsTwM7qARsTatplvdQ2s+oWsdxO AYYnmUPJ6bQTk/hTpdT0+G+SxlvbZLyRd0du0qiRh6hc5PQ/lXJ3nhHWH06LSoriCa0j sYoEY3MkHlSJnLbEUhwflwGbAx0PfZt9M1Gz1m8eOCyns725Fw80sjCWIhFXaF2kN9wY O4Yz045BGhpuqQalY2dwpWN7u3WdIWYb9pAPTvjIGaZeT6Ra6rZyXl3bwXjo8Nsss4Rn DFdwVSfmOVXt/Osvwt4cvfD21JZ47pJLaNZZHJMkbooUIh2jMXUgHBBz13cJrmgahe3m oG0W0kh1SzS1me4dg1uFL/MoCnf98nBK8jrzw9LjNuTU9OivY7KS+tkupCQkDSqHYgZw Fzk8EH8aj1LWbHSZLRb2dIRdymJGd1VQQrNkkkcYXH1IrOuPD8srXzjyN9xqNtcozZyE j8rIJx1/dtj6jpk1b1uxu7o2NxYpbyTWdz5wjncorgo6EbgrEffz0PSgBdO17T9Rne2S 4hS7WSVTbGVTIVSRkLbc5wStWbXU7C+mmhtL63uJbdtsyRSq7Rn0YA8dD19KyI/Dkyra ZMCPFqNzdSOmc7ZBMBg4+9+8X8vYVF4Z8P3mky2y3cFuRZWn2WK4jvJXZ1yv/LNlCpnY CQC2D0NAPyNy71TT7CWKK9v7a2kmOIlmlVC/0BPNPN7aLP5DXMIm5/dmQbuBk8fTmuR8 Ww3aX19HZ25uZNWskt8fZpmMe0vjDqpQZ3n7zLtxnnNat34aN5beII2MMcmq8RzBcsq+ SiYbpxkNxnofejoLqatrq2m39sbiz1C1uYA4jMkUyuu44AXIOM8jj3FPuNQsrSN5Lm8g hSM4dpJAoU43YJJ445+lc/LoerXi3l3NFYW93J9l8qCKVnjPkSGQbn2AjdnHCnAA69Kk t9C1Ca+W9v0s1Y6kLxoo3Zwqi28oAEqMtuweg459qBmrc63pVpp6X8+pWkdrKMxTPOqp JkZG1icHNTadeLqGm2t6qNGtzCkoRuqhgDg/nXPHw9qllLHc2MVhcSqbxBFPI0aIs03m BgQjHIAAIxz68c7GkWl7p9nY2MpgaC2so4ndWYuZFAHHGNuB9aFa39ef/AE9zSooopAF FFFAFe+GbKQeoxUyswjHy5wOxplzG0tu6IQGI4J9arjVZo1CyaPeMw6mIxlfwJYH9KTG Imp3Dxux0m9QoAQreXlueg+b+dZHiAahfW9vdJa3i29uXa4s1vDbSyDAw6ujc7eflJAO eTwK2f7Zf/oC6j+UX/xyqeoHTtW8v+0vCk955RJj+0QQSbM9cZfjoPypWAz7TxLf3+px RaXZmawjWDe0g/eOkqhg+4uMAA9NrZIIyKoQeINZt4o7LTbQXc5e8nPm/MZFS5ZRGpLr t6j5uQvHynNdBPJYXN1Bdz+FbiW4t/8AUyvDAzx/7pL5H4U26Gm30CQXfhKa4iRzIsct vbsqsSSWAL9SSefequIrNq2sXt1qy2ctnbRacTDslhaSR38oOGyGAAyw4wcgHkZ4n0vV bmPwZBq2rXMBk+xC4lnWMqgG3dkqCScDrjr2A6VI8ljJqCag/ha4a8jXYlw0MBkVeeA2 /IHJ/M06C4tLWzNlb+GbqG1IIMEcUCpz1+UPjnJzU9B9SPw9qt9qH22G+WIy2kypvjjM QcFFcHYWYqfmx1/LpXHSazrCaXrGkDULj7Vdy3NxaXXzEwQI8gkUNn+Hy8DnjzFx0rs7 KSx00EWHha4tAyhT5EMCZAzgcP2yfzNS/boBE0I8OXnlsGDJ5cODuOWyN/ckk+tDV1oC 3Mu217V7nWns7ayV7a1eOGZ2GWy0QfzN28cAsBt2nPPIqnp974gvLHRJpLq1kvLh5syG JkRVCn7yBvmII6ZX8Mc7cj2E17DfS+FZ3uoBiKdoIC8Y9A2/I6mlt57O0ZmtvC9zCzSN KTHDApLt95uH6nue9FhGM3ivVJbE3EKWMBtdNS/uBOGIlB35RDkbB8h+Y7sbhxTb/W9Q v7geXJBbWsGp2luYSG8+RiY3J3bgAMNgrtOQCc9q2Jxptz9n8/wlNL9lObffb27eT/u5 f5eg6elLI2nzXwv5fCk73YAAuGggMgAOR82/PBGacbppsctdi2NRnMsif2XdgIGIc7MP j0+bPPbOPwqW0u5bkMXsp7bbjHnbfm+m0mo/7Zf/AKAuo/lF/wDHKP7Zf/oC6j+UX/xy kBl3rTHUrnbHwHXv/sLXMeHXszq2rfYL+9u5zNm5iuAQsT5IwuUH06ngCuvlv5Gnkf8A sTUfmIPSH0A/56e1QxTLFJI8Xh+/Rpm3OcQjccYyf3ntXaqsLLTY4XCd2VfDkLJ4h1KZ lwZYos/gW/xrqKy9Jspop7i7uEEbz4Cxg52KPU+vNalY1pqc21/Wh0UYuMEmFFFFZGoU tJS0AFFFFABRRRQAVkaxwwOeNmP1rXrL1pAYlfcRgHjHXpRsM5FwlzFLCzECRSpIPIBG P60yeKK4jigeeRfKYMrKwzkdO1V2kAJ5PXtVe51OO1IEqtnttXPH6U3JdRWL62UJWQvL PIxULuZgCMHIIIA5BpEtrdWyxllbcrbnck/Kcj8OaoQa3bybvllA47A/1q7HcQOgZH3A 98/5xUc8R2JysB83dHnzl2vk9Rz/AImlmliuInjlXejfeGcZ/Ks6W6UPt3H86dHdIykA En2pc42iZY7VYWgWEGNyCVZicn8T7VPE8YMmIl+cAOMcEdMH1qusy7ODgj1pgnCvycZ7 1XOhcpZk8lW3rbQqw43BBnpj+VRR/ZohiO2iQAgjZGByOh4+tRvcLju2O2OtIGyxbYxH p6Uc6Fylk3IDZAUk98DNON5sUs+FAGSewFUi+TgRE5qrfLNPH9mVmjD/AHgO4+lS6gcp rWGqQX0XmRyEKPvAg5B9PrVHxVMH0V9pPBzz9DTLKBLCAJswSd2G5OfpVLxC00mluzoU TkYPGTtNS5topR1O8+HK7fAmmj2kP/kRq6eue8Bp5fgnTF/6ZE/mxP8AWuhrRbCe4UUU UxBRRRQAUUUUAJRWTJ4p8PxXEts+tWInh3eZF56l12glsrnPABz9K0oriGd5UilR2hYJ IFOSjEBsH0OCD9CKAJKKia4hW5S2aQCaRGdE7lVIBP4bh+dOE0RmaESIZUUMyBhuAOQC R6HB/I0APorO1DxBo2kzrBqOq2dpKy7gk8yoSOmcE9ODWgCGUMDkEZBoAWijpUdvcQ3d tHc28gkhlQOjr0ZSMg0ASUUUyKaKdS0UiSKGKkowIBBwR9QQQfpQA+iiigAooooAKKjn nitbeS4uJFihiUu7ucKqgZJJ7CkmuYbZFeaRUV3VFJ7sxAUfiSBQBLRRRQAUUUUAFFFF ABRRRQAUUUUAFFFcb4l+KXhzw5cyWTyTXl3GSrxWyhhGfRmJA/AZIobsOx2VFeafD74o RaybTRtVa6n1ad3/AHwhRYj1IHykdFHp2rp/FvjrSPBwhXUFnklnVmijhQEnGBySQB1o egjpKK8/+G/jvWPGl/qIvLW0gtbVVKeSrbssTgEliDwD2Fd5PPFbQSTzypFFGpZ3c4VQ OpJo6XAkorx7WvjTqL659k8OWFrLalhHHJdRuWlYnggBhgHsDz39h2Hjv4gQeC7OGPyV utSuFykO7CqO7N3xnoO+DSvpcdtbHY0V49d/Ezx3oK2d7rugWiWV38yAIyMwxnGdx2nn owz7V6vpt/DqumW2oW+fJuollTcMHDDPNUItUVleJfEVl4X0WbVL4kpHhURfvSMeij/P QGvMj8TPHl5pdxr9joFmukwtguyM20fXcC2O5AwKm47HsVFcj4b+IFjrPg648Q3qfY1s iy3KA7gGABG31zkYHqcVx6fE3xrr32298OeH4G06zGXMil2A69dwycc7VBIpt2dhLVXP XqK434dePD40sbhbm2S3vbQr5ojzscNnDDPTkHjJ+tdlTAKKKKQBRRRQAUtJS0AFFFFA BRRRQAlZmvA/Y9w6DOeP84rTqjrAH2Ik49s+pBpS2GtzzGWRjI4XPDkdaje286PaysfT PFWJJGjvJdxJG7p3qVn3e2exGK5Xdm1kO0bwxPeR+Z58SRscDnJGPUf/AF62Y/Brpyb9 d3tH/wDXrCttRlsbsmKQA8ZBzhvrXZ6RqkWpQ/KcOv3lPUf4j3q4KJLVjDu/DcluPM4m A6lRg/l/hmoYY1dlhSPezdBgc12WM1TubCKQylQsLyDBdQMt9RV8ormRDpdu5CSXSI5/ hUZB/GpX8Owsvy3Jx2Gwfzq0bLy5I380MU5xjFLLK5kZFcgKBnaRn60WApDw/Ii7ozEf +BHP8qmj8PNMoLzmNu6hNw/PNWZ/P89PLD7cc/MQKm/tO0sVka4uVTOAAT0P9KNAKsHh 1VYGSTIB5AwCR+NW3skgRisSgKOwzVNNb+1yGKwtp7mQdQiEgH3PQfXNWLex8SSyiVo7 O3jPWKZtx/NQf50AZZtI0B285PXvXN+LWVdLaMMDz0H0Ir0aXQ2uYdk8dujlcF4WZfyF cv4k8AX11ZFdNkSVyfuyPg/ngClYLnR+Ek8vwlpQA62kbfmoNbFUdGtpbHQrC1nXbLDb RxuvowUA/rV6tVsQwopKWmIKKKKACiiigDjF0zUR4W19S9yfOe/8q08kfNud9pHG45zk eual1H+0jcTLONR/s7+0FEotd4k8r7MuNmz5tvm9dnOc9s1pP4mtX1q10203TNJNJFLJ 5TiNCiMxAkxtZgygEA5HPoarX2s+Hb3TLZNdW1uElhjuWTyHniQMDhySnyrw3zMF98Ub Id7tmbptlLrf9mPPLqAhWG+QypO6SACdAitIDnOF9edp681Y0OK5XW7K71JNR+03Wl2w LlZfL81RJ5gkA+VT8wOGxyeOa17XXNFisJTbv5FvZbYzF9nePbnhAqFQWB6LtBz0Gaf/ AMJJpQsxdGeRVMph8treQS+YFLbPL27w2BkDGSMY6in/AF/X3iW1jG1eSez8XzXHm6pb wy2ESLJZae1yGYPISCQjYIBHp1qzINZPiBdPQ3JsJ5EvDd9PLRRhoc9iXCnH91nHar58 TaSLe3nWeSRbgMUWK3kdwFOGLKqllAPBLAYPBpZtetLM3JupVAiuFgjSBXlkdjGr42Ku S2CThc/KM564S0G3c5/TZdUk8VrIE1CGJ5547q3mjuGjVQG2MHc+XyVUgIo+9gn1gS61 TS/D32UW2pCWTQYUtUgtpH2XCrJuBwPkblPvYzjjpXTTeJtJhtYLk3LulwrNGsUEkjsF IDfIqlsgkAjGRznoas3OoxJosup28sLxLbmdJHciNl27gSQCQPcA/SntoCf4nLXc2qN4 rV7dNQhaK7hRk8u4khmgIUM+c+Uv3jxtLZXqO0CW8tnE1s660luupzNf+T9oLGJmlaIx leSCShby+f73Ga6mXxFpcN+tjJcETmRYjiJyiOwBVWcDapO4YyRnPFR6/rMmkiyigjDz Xtx5Ks0buqYRmJIQEn7uMcdfQGl0/ryEZen2+qXj6ZFdT6lFbeVdMxLFHZRKnkCQ9Q2w 55w3Bz3q54ruRbppiSS3qQTXhjmFkJDIy+VIcARgt1APHIxmpLPxArjfeNbW8afazIzS EYWGXZu5GMY5JJGOOvOIb3xHpklkL2KMyPaXEGRc20kTRCR/L3gOoP3WfBHXkU2MqaZa 6ndSadDcT6nFabLtss7K7J5qeSJG+8G2EnkhuDnvUWnDUX1uNJW1UXbXVwL7f5othb4f y9hP7vP+qxs+brn+KtSXxdp6izeFZ5UuLprZx9nlWSJhGz8ps3Z4HBA4bPStLUNTtNLg Wa7kZRIwRFSNpHdsZwqKCzHAJwB0BPagDmo28RS6Vqvni7SfTrGS1t2UENdzYJ85QOuQ I8ejFxUGpR3M+uhLqLVZLhdStmtVjWY2qwAxlmbb+7zkOSX+YHHbFbVp4qs30uG8uhKj XEkwjhit5JJCiSFdxRVLAYC5yBgnBon8Wafaai8VxKBaG1huI7iNHkUq5cFmKghUAQHc cDnrTvZp9v8AhxPVf16GRph1Qa87XlzqKXQnn82P7NO8DxfP5YVifJHGwgqAxIweSau+ Dnuy1zHOL6ZQkZa6uhPH5sh3bsRTD5Ox+Q7ecDGK0r3xBY24vIo7iJrm0iZ3R9wRMJvG 9gp2gjnOD7Z6VJJr+mxX4sXnYTFlQkROY0dsbVaQDarHIwCQTkccikgZzl9NqjeLg9sl /CYruJGTy7iSGaAhQz5z5K/ePG0tleo7b2uQXF1Jp1vFJcxwy3RW5a3dkIj8qTqy8qN2 3njnHOaqaZ4kl1C6OUhiga9ktY1kWRHOzzMkErhifLzjjAzk54Nu28UaNd+YYr0BI4Dc GSSN40MY6urMAGAyMkE4zzSWw+rOau01aOGzgupdUWwje7jMkSXEkpZZcQljERIR5YOC cg8E5OKuXSeJGNrb2lzcSG4so5WuXiMYSWLJIZf4TIWQFfQP6V0OnaxZaqZBatLuiALp NA8TAHODhwDg4OD7UkmtWMOpLp8rzJMxCqzW8gjLEZCiTbsz7ZzQLzI/D73c+kR3V8s0 c1yzzeVMMNCrMSqEdiFwCPUGtOs2LxDpc+oCwjuWMxZ0GYnCFkzuUORtLDaeM5wM9Kr2 PiW11PWksrHfLA1s8xnaJ0VsMgGxmADqdx5UkcD1p77BtubVFFFIAr568V+E/EfhPVb+ 9MEVza6nJJAk6qshbzSTjb1V8DqB9DXu+uafJq2h32nRT/Z3uoHiEu3dt3DGcZHrXi2q eDfF0GvaV4WbxH9qEzG5tiZpMW/lg/NyMr3xjv6VLV3/AF8x9Dofhr4qs9X1W10XUPD9 tbanp1uY4LpI8MoUbSpB+ZTjrz69K6X4pzWtp4E1CeW3hkmdVgiZ0BILMBwT0wMn8Ki8 EfDiHwpezapd376hqU4KmUghVBOW6kkknua57xR4A8feJbi4iuNc0+SwNy00EDyuNgyd o4j7A46mnK7Vgjo7mn8FNN+yeDZL1h817cswP+yvyj9Q1ch458cxeJPEp0K7uprDQLWc pcNCu+SdlJ5x6ZGAOg6nPAHdfD3wp4o8MM1vrGrW9xp8cRS3toGZgrFsknKg+vfvXRP4 U8OO7Snw/pbSMSxZrOPJPqTiqlumJbWPAm1fw6nxEtNQtbZ4NEtJYvLSOIbyEA5IzySw ySTmu0+LvhfXNS1qy1zTLGa8gW3WNo4k3vGwYnlByQd3bPQ5rT8FfCubSNdutR8QRaXe RyIfJgiUyIjFgc7WQAYxgY9a1PFmh+O7zX/tnhvWreztDAsflSStywJJbaUIB56jngVO yQ+rPNPiF4x1vXrDT9N1jQzpcsf7/wCcMGkOCuQrAFR14Oa9t8LWb6Z4U0qyuAElhtI1 dT2baMj864zw38KZ49aGu+K9SGp3quJBGpZk3DoWZsFscYGABjuKl8efD3V/F/iiyvY7 q0TT4I0jeOR3D43EuQApHIPr2prT5i/Qv/Fbw9qXiPwokOlxmae3uFmMIOC6hWBx6kbs /hXnLeKfEuh/DqXw9f8AhqW2tnDW6Xc8TxYD5ONpHzH73IPpn39X8aaV4j1LT7SLwxqE dhPBNvd3kZNyhSAuACCOeh44FcaPhd4m8R6jFceMvEKzwxfdjt2LEjuBlQq9uQDS3uh3 2ZneEPDGo6t8GtWtrRf399c+ZApOPMCFOM9OSrD61n+H/EPivwL4a1HT7jwtP9mDM5uJ 4njEbNhOTjDDOMYP446er+IdD1BvCQ0jwtNHp00XlrC/mMgRVIOMgE84x75Oa4e4+G/j fxLNFF4o8SwtZxHO2Eljn/d2qucZ5OcU3q2kC0SuRfAexlWLV79lxE5jhRvUjJP81/Ov XqoaJotj4e0mHTNPi8uCEcZOWY92J7kmr9N+RKCiiikMKKKKAClpKWgAooooAKKKKACq ep/8eTE9vbNXKgus/Z2xnt0+tD2GjzG/trv7YzvFLDag/wCu8ksBx64Hf3qlKrJKBbiW QHq7DaD9BWjqfifW7a/eOK8LAdAwQfzUmsW61PULqcT3MxZuOC5xj0xx3rlbWxtY0rSy F3Ohnbyh3Axk/Q9PWuhsbW2064SSJCrrxudiTg+3SuSj1eWDAVEGRjI4FTjVrgjYr7VH QHJx+NUmkI76S8VMGSUAE4BY4GaqyalCu4ByxH91Sc/jXmj6rqDscXJRCMbUUKB9DjI/ OmqZrsoWzM6nq7FuPTJpe11Eehf8JBYqMmUNg8qrAkfXGad/b8ZkJhhALJgPjGcds/8A 1qzNJ8O2Vyivc6lGW/uQsMj8Tz+ldLBaafpyBbeCMMpyHJ3MPxPNWrsRz13JrN4rC3if BYEZwAR9Twfwq94e8Dz3Ki+8RH5nGUtAeVHozde/Qf8A1q6zTrQgC5mGXblVPYev1q/2 qlEVxkMENtCsNvEkUa9ERQAPwp9FFWAUUlGaAAjIwaiZCOnT0qWmswRctwPXFAEVLRlJ V3xsGwcHHrSA5pktC0UUUCCiiigDnrXw3d22oWzHUonsLS4mnhg+zESbpA+QZN+CB5jY +Uds+tMHhLGj3On/AG7/AF+lRaf5nlfd2Bxvxnvv6e3WqVnqmpB106xmtopJJr+4ae8R pF2x3BUIAGX+8Oc8AdDnhLjxffy2LXtqLO2SDTob6SK4DO83mBiEQhlxjbjdg5J6DHNK /wDX9eoPS6NTVfDCao91I1yEeZbfy90W5UeF2dSRn5gS2COOB17hbLw/JAbV5prQSQXZ uW+yWnkq+YmjwQXY5w3Uk9MVVuPEN8uqSrG9mltBfw2LQOrGaQvsJcHcAoAfONpyFzn0 ZBqepzPHZab9lgklkvnMlyJJgvlThRxuB53dMgDtwMUru1/66foCXT+uo+98JXFxCIoL +CE+ZcP55tm86MSyFz5brIpUjOO4OAcdqsXHhyZrpr20v1ju1uxcxNLCZEH7kQlWAYFs gE5BGCR6c5c/i7UJLA3tuLK3W302G9linDO0xkDYRMMuMbcZ5yTjAxzvWi3I8SaiztIb doLfy8k7Q2ZN2B6/dz+FFmgvqR6doBsZ7WdrvzZIY7gSHy9okeaRZGYc/KAVOBzwevHL xoePCX9g/aP+XL7J5+z/AGNu7bn8cZ/Gud13XJYfExvI5L0WukSRRSpFFIYXEn+uMjAb fkRkYZPGD61pXuvajBf3Lxmz+x2l9BavEysZZfMEfKtuwCDJnGDnHbrRfT+v66j1uXZd B81bsfacfab2C6/1f3fL8r5evOfK69s98c3b2w+2XNjN5uz7HOZsbc78xumPb7+fwrDh 8Qah9tt5Z2s/sU97cWYiRW81fLMnz7s4IxHyu3vnPaqlt4t1MW97LPDDNGNNfULSVYfK WRVxgFfMdsHI5O09ePQTv/X9dA1Wn9di/d+FVktJ1e4klDQ3q7IkCufPkEg2ljjK7cc8 HviqumaTq2pveXOrB7aSV7TYZIkViIZDIflSRwAc4zuJ6nGMCp9Q1jXYLy006GO0+13M MlwXWIyIqoUGwAuhJy/3s8Afd54hvPEurRx3E6Q2dqNP0+K9uoJiZGlL7iY0dWAXGwjd hskjjjlq4r3NC60CeS5lu7S+SG4N8t3GZIN6KRCISpAYE5GTkEckenNrVtMuL42k9pdJ b3dnKZI3kiMiHKlSGUMpPDHoRzj6VT8ZSyR+GZGi8/c09upWCQxyMDMgKqwIwSCR1HXr WXaRXthPYtci7trV9UZoILu586WOMWsmQzBmyNwZgNzdvoJuPcsnwdMIrORb61kvbcTi SS4sjJFIJZPMbCBwVIbGPm6Z69pbrwveSh4rbUba2t7iwjsbiNbL+Bd/MeHAThyACGA4 61W03xHrN480Qt4LhpbE3ljIIvJWUAjCkeY7DO4YJC/Tg0281+TW9GlvNO2paLd2ccEr 7lLuZoy4P+yNwU+4cU35gt9DYl0ASWGsWi3G0aoCAdmfKzCsXr833c9uuKqHwqyazLew zWbQzzpcSx3Fl5kgdQo+R942j5FPKnByR2xWk1/VY0msPNtH1KO9+zxvFasyTfuhKcIZ F2kA85fHHviltfEeqaqmnW9qtpZXVxBPNK9yhkQeVIIyqhXGck5zuIAH8Wc0eYn2NOLQ fLFoPtOfs1/Pd/c+95nm/L14x5vXvjpzxTuPCyto9vaPPLKLXS5LLESBXk3CPDLuOAf3 fAPHPJ4qrZ63PH4pvNLUKHuLtW8+XcYdot4iUjP8TnkhcjAy3OMHS8Qy30d5oy2V1Hb+ besj+YrMrDyZCAQGGRkdPXB7UFdSHw1BqzX19qGrRPG88cUSCRERiE3knajuAPn/AL2e vQYqO68JyXeuHUJbyB4xdR3MYktd00RTb8iyF/lQ7TwFH3j17ss/Ed9Pr0VuyxTafdyT RQzJD5ZVo92RzIS33WGdij35Gc/Q/Fc8XhOW5+zkrpOmRyNFPuWa4bywd4z0jOCN3OSG 6beS+tybaNG+vh5fKto2uSywXs90cJjcJfN+Xrxjzevt054i0bw/e6de28t1qUVzDZ2h tLdEtjGwQlDlm3kMcIo4AHtVZNW8RpZXIks7ea4HlGCRECBg7EN+781i20Dd94bs4GCK 19Evm1HTFnklSWQO8cjJC0Q3KxUjYxJGCPU/Wi9n/X9dQeu5oVmjWoX1d9OihmlaIlZZ FX5Y2wpCn8HByOBWlXP3Ph2e58Ux6qZbVEjX5Xjtds/BXCNJu+ZTg8bemR70uodB7+JH gme2udNljucQmOISo27zHKKCQcKQQc9sdM9KsWctjezTanNYRw39nut5XZVaSMD5sBh1 Ughh9eQDxWdaeGNQisL22v77TdRe8+aSS401j5j5GC4MpDAAYCjaBxitDRtDOjW8cEE8 QQvJLcKluEWR3OflAPygdMcnGMknkg3uVR4rASHzNOmjku445LRDIh80OwXkg/KRuUn2 IwSeKtJroeED7Ky3X2wWjW5cZD8EnI4ICfP647A8VnQeDIYY71mi0kzXMYiVF00Lbqgb d80e/LEk9dwHAwBzmxo3hz+yruPmIxRLJJ+7jEavPI3zMEH3QqgKvJOGOSTyWv6/r0Ez QbW9NSATtdoIykj554WPhyR22ng+9SJqdnJYPfibFsgYmR1KjA6nkcj0PftWRH4daW61 x5C0KXoaG2BwwjV1BkZQOm58kgnnaD3rZ1C1N7p09qPK/eoU/fReYnP95cjI9sil0GQ2 +tWFyoKSSISjybJoXicKhAYlWAIxuHbuKrw+JtNlvpLRpTGwkCI5Rtj5jWQfNjapIbgE 5ODWanhTUoYVaDWohclZo2aS2eSNY5NhKorS7lwUBGWI5PGMAWB4au/M8ltRiNj5kU3k /Zj5m+NEVfn3425QHG32zimIt/8ACTaV9mNx5s+zeEQfZZd8pIyNi7dzjAJyoIwCe1OP iLTnlEME3my7owy7WG3eVxk4wCQ6kA8n8DjLs/Cl/Y4mg1WCO4ikDQxrav8AZo12lSBE ZSRkH+FlHyjjrnTTR5TBKs92ryzXUNy7rFtG5PLyAMnAPl+vGe+KFa4Ed14r0m1jum82 WVrWOR2SOFzv2EhlU4wxBHIB46nip216yjjlmlZo4Y40fLRsHO5mUDy8bskrgDGSTwKy 18N317DPFqF6iQ+ZdG2jihw8fmlwGZtxD/K5wMDrzkirc+h3lyrTy6hEL7bCVlS2IjDx u7AlC5JB34I3Z9COwDJZfE+kQ2sdy902yQOwAgkLgKQHyoXcu0kZyBjvir11f2tlZm8u JgsIxhgC27JwAAOSSSAAOSTxWdbaDJEWlnvFknljnWVki2qWkKcgbjgAIBjJ+tT3WkvN pFvZw3IimtfLaKUx7l3JjGVyMg45GR14I60v6/zAYPE2kmSCM3Dq84GA0Ei7MkqN+V/d 5YEDfjJGBTLnxTptusjD7TKI5kiJitZGBLOEyrbcOAeu0nHTrxVeXw/qNxI7XGqW7LdB BeKloV3hGJHl/OdnBwc7umRioV8K3iz3U0epww+YyvFHDbMsQcSiQM6GQhmyMErszk+2 DqB0kbrLGsi52sARuUg4PseRTqbGJBEglZWkCjcyrtBPcgZOB+Jp1MAooopAFLSUtABR RRQAUUUUAFQ3IDW7g4xjvUtMmyYXA67TQxo8k11Ui1Zh07ngHuazmRnYsq9euR1ra8QQ I2stxnuMDg8+lVRGSMYXr0yB/WuRrU3RFHbgR/OAW+vFWLWxlu5BHBGXYcdcAfU04KSA Gxjp0p0t7e2dqUtGRVB/hyG575PFPRCY+88JS2UBm82229cGTDfqMfrVOGCOECR5F9sH INRO01w265mZ2PJ3sDg/T1p0iwohZp1Y8knd/iKzer0JFvdcFsqoi5JHGTWn4BsH1/XG uplzb2mHfHRmP3V/qfpXHXE6XUjPvUwqpbeGHGO3sc4r2P4faUul+ErbIxLdfv3OME5+ 7/46BW8YNasnmub19dG1hWTaWy4BAx/UgVRk1HyrA3Eksp+8GAVPlIRm7HHOMjnuK0bi JLiMRvnaGV+PVSCP1FVJbG1kkkaRGbzDllLnaTgD7ucdBWthFOTV2tmlMm+V443YLGdw ygXg7QccnuOOfY1abUZltb+WSCNTZg4CyFg2ED+g7EU+OytozlY9xbILOxckHGRkknHA qwI4wjjYuH+8Mfe4xz68cUkmCM2fV5bMqtwEJYF1IXGVVWZhjJ5AUc5/iFMTV7hracOA twsTCNfLZS0gzjCtzyClaQeOJQsUaqB2UYAp/mjaDnFFmBlS3moPeEwRzm2V2yVjAyu2 Pn5hk4zIRgEkrimT2+pSxNGrzlyqIjltuDvYOxGR/Dgj9K2UcnGW604E5xRYCppkNxBH Ks5bBcFA0hfaNq5GSSeuasONp3dj1qSmvtIIY9arYY2imqcjB6inUyAooooAo3WjaVfQ LBd6baXESyGURywKyhySS2COpJOT7msvXNFsNa1i1tLq5lRhbuwhSGIhkDKGG9kLrnco O1hxWVYaLqq+J/7Q/s82MhmnFxNGsCxTIwbyz8p8xznYTvPBzgejNH8MyvN5Nxo0mmlt Me2u70SRl7mYsn7wMrFicqzBmAPNNf1+IPqjoLvwzbXuuR6rPcSExFGWIRRAZU5X59nm YzzjdjPtxWmlpaxuJI7eJGG/DKgBG47m59yAT6muVfTNcuNBvJ9RsIbrULqSKKW2GyRf IRgDtDkKSfncBv7wBzimab4bujY2tld2Un2FdSeU207RfJAYGG1ljwmN5+6Bj69aPIPM 0dX8PaXqd/ZWcs7QKkDCK1it4tpjUqGAYoWQfMo+Vl46dM1vLBCkzzpEiyyAB3CgMwGc AnvjJ/OuRg8PzWV3psx0ZLlbV7uGJd0Z+zo04aFvmI+VVXoORkACs+w0LVraz1GZbU6M Z9MkScloIYRPwdymIkgY3/OxLAencGzvDa2zQywm3iMU27zE2Da+772R3z39aoweHdLg 1afVfscMl5M4dZniQvEAiptRsZAwvTPc1xtlbprNlqyeHrGG3tf9E3W1rLCyTbXZpU3K THuZcAgnBGN2AeOs8L2B0+wmjFnc2UbzF0t5/JHljaB8qxEqqkgnA7knvRawrk+neHtL 0u4muoLSE3c8kkkly0S+a29yxUsACQM4HsBVfRLTQbqykn03Rre3trlSM/ZFjE6MBk4x yp469ayLDQbtNZRptK2zLc3El3qRdCLuFw+yPg7zjdH8rAAbOO2dvw7pbaV4Xs7FYEtb hLZBIFA4k2gEnHBOR1pbK4yXUINJ1K6h0vUbK3u2aNp4454VkUBSqk8jg/OPzov7HRI1 tbi+sLRhaukds724YwszKqhePl+Yr06fhXKWGh6lapK9t4dS3u00mW3mlneJlv7glOSQ 25gdrHL4+9zii38M3Y0u/hGkSC2aa1uIbGf7OpLJJmQKsfyLlQOp5zyfR7f15/5CO5mh iuE8uaJJUyG2uoIyDkHB7ggH8KWSGKVkaSNHaNtyFlBKnBGR6HBI/E1xLaLqM3iKC9h0 RrEw3EBiliW2UC3AUMjsCZCwG4bVIXgde+54tea10yPUrQqbyznRoI2YgTMx2eWcf3t2 B74Pal0uHWxoWejaXppdtP060s2fOWggVCc4z0HsPyFMt9EsIdGTSZYEu7YLh1uEV/NO dxZhjBJbk8da5+/8PSwppy3OmNr8ENvKs8OYxm5cq3nYkYL13jOcru4HWmXmna/babPa rZzahPdaLHaGaO4QBJlEm4sXYHneMEAk45xTsM6NtA0Z9PTT20mxazjbetubdDGreoXG M8n86i1Cx0No7LT77TLSaGacpBC9uror7WcnBGBwrc/403xJbXNzoL29vZJeMzRiSB1R tybhuwHIUsBkjccZrH0XRNQtIbGNraWKGDU3nSOVot0MLQMoGI/lHzsRhRxnv1pdxHTt YWToyvaQMrOsjAxjBdcbW6dRtXB7YHpS3ljZ6jbm3vrWG6hJBMc0YdSR04PFchP4XuY/ DWkRCxad4vLbUrUPG73GI2GD5h2PtdgcE4446Cor/wAP3dxpen2P9j3EtuiTY3/ZXntX ZwUALEoqAE42AkAKB0oegzp7iy0TRUutZOnWsLxq0008VuokbAOTkDJOCfzNXEsLNDEy WkCmGMxRkRgbEOMqPQcDjpwK4rV9B1S7s9t5ozardSaZDDBKZIj9jnAO9vnYYJJU7lyT tx2FaktncTeMm0+KUHTz5eo3KbjlZBlVX2Viof6xt/eqmktCU76munhvQorWW0j0XT0t 5iDLEtqgRyOhIxg47Vdtra3s7dLe1gjghjGEjiQKqj0AHAqWipGFFFFABWD4r1NtPs7Z Y782D3E2xbhpIo0XCk4ZpFYDOOMKSTW9RQBwG251mwuNdlvJEuxoMckRgRSImdZNxjJU sudo6cnj0GLVx4guhqtvDa69aNblImtpJpokW/LOwcZCHdgAACPBBPOciu1oxTAzNGe8 uBcXN1d+YrTyxxxCMKI1SR1HPUnAH5DjrnAtTPdNBax6/M9ymq3CSZEbSW42z4GNvGRg jcCMYwMV2VFAzhR4i1U3trDLqVrbMEjEazyJEL1jIyvwUJJwowqEEFucgit7xJp66nPp NtLKywteEyR7FZZMRuw3BgQQCAfrz1AI3KKBHNQ3F9JLDBb3a2sebySQ+UG3eXOAo56D BOfrxg81i2evSXn2V7nxHJGkN4onuopLd7bLwvhVdVxt3AABwGBIznKmu/oxRcGZWv6j PpFtDqCK0ltDJi5iRNzMrAgFcc5DlfwJrButZ1q01W1s7vUbO0nEMDCOWRI0u5GYiRRu QlscABCDkjOciutubWC8jWO4j3osiyAEkDcpDKfwIB/CpqQHCDxTetqWpR22opKotbuR IJHjeS2eIgLlEUFRyeGZieOnNdpaRTw24S4uTcyZJMhQL1PQAdh09fUmp6KOgwooooEF FFFABRRRQAUtJS0AFFFFABRRRQAlI43Iw9QRTqSgDzbxFEP7X3bS27viqUdtIyZIUAcd QMVteIlzqqqWIJGOvJx71llEThpAzN29K5JPU6FsRSQ+TwXBPHAOajSOOVsOp5z1baKs Q2slwxkJTb6ykjJp5tZYz+7RX5wdmWI/TFFwKbQoj7Y1j/8AQs/zqhrDCKN9imMZAIIG R69BWqzRAFXjZCD93byPqTVDVRF9lZxF8o9Nx2/WgDm1cy3CRIpZmYL/ALwP+f8AOa+i oYVtreOCP7kSBF9gBgV892J/4nlkcbU+0IpHPTcP8/jX0MST0OOa0pNsiSImu4EVWL8N J5YwCfmztx+ef1PamC9hYgYYfvDGSRgAj37jPHHc460fY49u05IzuB+6VOMcEY7cUpgh jj2NgoOSHOfXPWtdRaEcV9HOsbIhXc20q5AZTjOMf59elJHcSTxZeFoc4+VuoyAefcZI 71H5emxfN/o4wMHCpyfXgdaZPJDBZy3cMaMyRNIhC9eMigTsUtQ160sJGiUPLKOCq9Af QmjT/EdjfyrbNuhmf7ok6MfQH1+uK8w8QXk2UiLkrIm9+eWJJ6+3FN8KarIviaxsnLvF I4KAN9wqd35Y3cepFZc7uPlPa0wpGT2okuI4xkkD0J71lai0pYp8uFJP3c/rkVUij80q I1V23cj5PYDOc1pck121FGbarr/wJsfp1pgZ7n5Ucs3+z0H1NRpAXBJyx6gKXAPXrgDn 2q1CjKcgN8vQENj9W/pRcZJHGYQEJB4zx6/5xUlK4GVYjB6fSm1aJYtFFFAjntL8RvPd C0u7S4Blu7iCK5CKImKPJhPvbs7EznGODzniiDxnp8rXySQzwy2MJnliLRSN5YOC2I3b GPQ4PtVwaHZiOFDJKVgupbkfMOXk8wMDx0/etjvwOah0jwzBpLxML26uhBbm2hSfy9sc R2/KAqLn7o5OSe9A35El74l0+xS5d2d1tvKBKYwzyHCICSBuOVPOAAwJIFTaPrNvrVvJ LCjxvDJ5UsTlSUbAOMoWU8MDwT19apweEtNttDbSIWnWLzRMs2/MqOCChBI/h2qACCMK Acir1hANOhaGbUpbtywJe48tWGeAMIqgDjjimIoDxGIkVFtrrULiSS5CR20KqdsUuw/e fHGQM55xkAZxV86va/2GNYUSSWpgFwNqZYpjOdvXp2plrodtaXUdxHJKXj+0YDEY/fSC Ru3YgY9vWprK0g03T7fTYm3rBAI4xIw3MqgDn9M8d6XQelypc+IrC0W42LLN5HlLiFQf MklPyIvIG45U84ADAkgUtr4gt7hoo5Le4trh7k2rQSqu6OQRmTBKkjBUZyCRyKo6V4Wt rbw0mjyyeXcB1uHe3fLRShtylSw5C7Qq7h0UAjtVg+GIzbBRqV6Lv7T9qN7mPzTJs2Zx s2Y2fLjbjHvzT0/r+vX8BEh8R2plihhtrqeWZp1VIowT+6fY5JzgDJ4J607Xb+9thZ2m mrF9rvp/KSSZSyRAKzsxAIJwqnAyOSKXT9AttOlglSe4leETgNKwJbzpBIxOAO449vWp dU0+21OKOKWd4JoZBJDNC4WSJ8EZGcjoSMEEEEgg0aDM6z1qWKHUZZdQsNXjtCoAsCiS IckMrhpNoIwOSw78DHL7bxdp93YQXcEc8pmuTaiKILIwlCliMqxU8KeQSPfrTJfDNtPB cJdavdz3MzxOblzEHQxNuTChAmASeqnOee1WLbQrS08qeS+nmdLs3RmmdMvIYjFzhQMb T0GOfbij+v6/ERFceK7e2naN9OvyscqQyyLGpWOR1Uoh+bJJ3qOAQCecDmnw68l21qBF NaSNeNbTW88Ss4YRM+MqxA4AbILccd8iefQrS5E5aSXFxdw3jbWHDx7NoHHT92ufqeaQ aPZNfGdZnMouzdlQw4cxeVjGOm39fyo0/r5f8ECPS/EcGq3EUSWd3Atxb/aLeSdFCzJ8 uSMMSMbl+8B14yKg1PVL/wDtae0trqz0+1srZZ7q7uk3jLlgoA3KABsJJJ9APWr1nott YmwMTyn7Bam1i3EcodnJ46/ux0x3pt/oi3d6L62vrrT7ryxG8tsUPmICSAyurKcEnBxk ZPPJoYzBv/E15bR6Ura7odst3FcO186l4JdjKFC/vFwSGyRk4IIGcUj+KNSdLV7qe10O OWwiuDNd2zvG0rE7k3FlC7cDgnJ3D0res/D9pZS2cqSTSPaJMqtIwO8ysGdm465XPGAM ninahpE19P5ker39ojJseKAxlHH/AANGIPPVSKTAvQMz28bsyMzICWjOVJx1HtUlRWtt DZWkNpbpshgRY41H8KgYA/Kpab3EgoxzmiikAUU1HWRA6MGVhkMDkEU6gAopDwp+leT6 BrPiu+0S71e61vUHiWzunVDp0axBlDBSJgc5BAPTqMUm7FJXPWaK4uPxIunSrd3s99MI NAjvJYw6GNznkhcZ3kjruxz0pJPGN9d6fqVrNpp029j0d9QjZLgShVIIXnA54zVPS/8A Xf8AyJjrbz/r9TtaK4BPGuqjR7uzk02S3v4tDF/b3Dzo5lG3BYjGFOecc59q6fwrf32p eF7C81CMJcS26OWDA+ZlQd3AAGcnjtQ1a/8AX9bAtkzYorjvD+s3l78MJNW1C6me4EFw 7zRbUk+Vnxt4wDgDHFV7LxHqy+LrKxCyTaa2iR3T+bIm/JYZkJC5JA4wMA9aOv8AX9dB 2/r+vU7miuS8OeOX8QX1vGujzw2l4jvBcZZsbe0nyhVJxxhmqDW7vXNW8cDw7pmsf2TB BYfapJFhV3lYsVAAbsOOnv7YQlY7SivO9G+I8llpEP8AwkKrJIrXUJvIiAk0kPIAGMZY EYx1PatOx+IltqEUzQ6fNvtbCW7u42cBrdkJHlMMcMcE8445o6XGkdjRXHQ/EHZLdf2l o81nHFpg1KIiZZGli6EEDhTk8c/XFRRfESUadc3lzoU6LFDFPF5bsUkV2VQu5kUBxuBI 5HvTsI7aiuL1Px9daXdxW93oDWbPGZGa8u1jTG4gKrgMhcgZwWAGRzWn451u60HwjdX9 iUW5ykcTvgrGXYLuPbjOfSkB0NFcjEdb8K2Nxfat4gh1dDEmyO4CWwWQtg4YA/Kc+hPH AOaitfiC09qS2iy/a11FbBrdJeCzKWDBnC8YHcCgDs6KxfDHiB/EFndST2JsrmzuntZ4 fNEgDrjOGAGRyO1bVMAooopAFLSUtABRRRQAUUUUAJRS0lAHD+LFQ3itkK6EgEmucdiB 8yjJPTdkf5/Oug8abku02qGLOeD3rlpJ9j4C5PcBunt71zSWpunoXDLzktjnOFBGKsLf ssSIJEAXoMc/j61jy6jbWyhptw9hjJquusrJIFjt5jGWxvIxUjNxp4ZM7zljySVJ5+ua oam8ZtmACnHI3DOKhN+A2fKPtk0TTrNES6Z3DnnigDI+0KbyJ0jEYVgeDxwc+n0r6Aju EljWROVYZB7Y7V87XoFu5YcLnuM/hXr/AIT1U6r4YsbgOcpGIXCnADLx/LB/GqpuzIkd HeEMgbKKydA38Q9ByKph1AKojZYgkpGqjoeOSfWlG0Ekr2NIDhuenStiLjlluFACoo56 s4zj6BaY7M+5XOVPUY4xVpLd5BnoPU1HBNplxN5MN7BPOP4VkBP5A0AeZeJPDEqz/NvW NSfLmC5UqeQG9D/9epPBXh0x67b3QVpnjPLBPljGcnk9zjHbqa9UClBgDA9ulLyeKnkH cjNtEz7mQMx7sAaebcquI2OWbJyxA/SoLl7tb+yigQ+Uzs1xJx8qhTgc88kjp6VfqwRW W1KtuDLnqchic+vJqaOJIwNqKCO4XFPooAZIM7frTafJ1HsP8/yptUiWFFFFAjz6RNQ/ 4R+5KyW32T+3z8hibzP+P4fxbsdfb/Grmm+I7q58VrbxagJ7aWeeGS1lkjMtuUDYOxUB UEocbnYkEcenUwarp11eS2dvf201zB/rYY5lZ4/qoOR+NOtNSsL9pVsr23uWhbZKIZVc o3o2DwfrSSG3f7zkotZ1y20yC++2G+lvdHkvFgaBdsUiCPG0KAxH7w5BJJxxjpVLzor2 TU2s9dGq5l0xRefumCt9oJ24QBeMg+vPJrr7vX7Wz1yz0l45WlugT5irlIuDtDnPG7aw HqQavm5t1QsZowquEJ3DAYkAL9ckce9Umv69Q6nHahrGq6bFLZy6qRFFqQt5dSmEcbRx mASDcdhjUl2C5K4wQOpBpJNUv1htdSjmt9Qu4tLv2ilg/eJJtki2n5QNxwBnbgE5x2rp p9bsLOxa71C5gso/NeIG4nRQxUkcHOOcZx1HcA5FSWOqW17pkV8XWFHgSd1dwDErLu+b 04oX9fcHUwvClxBda7q0lvrX9sr5FsDc5jODmU7P3YA4zn1+brUV1rl5H4img/tMRTx3 0MEGlbEP2iBgm+XpvONzncCFGzBHBz0j6pp0V3HZPf2yXMpxHAZlDucZ4XOTwQfxpY9S 0+XUJLCO9tnvIl3PbrKpkQcclc5A5H50763EUtBmvrwXF1dXnmRi5uIY4ViVQqpKygk9 ScL+vTvXMMNI/wCE61Q3sugpdfbIPJW/hVrg/uo8eWSwI56YHWu9JwM1haT4rTVZrWNt LvLRb2Bp7aWYxlZVXGfuOSOGHUCp6j7mLo+j6eYdV1TULHSDEt5e755rVfNC+Y4O6Q9s ZH04qlH/AGOvh3wzdm90VYorBlW2v8C3lcqm4huiuGBB4J+ZuOtdvp+q21/pcF+XWFZb dLhkdxmNGGQW9BwefY1I+p6fHfx6fJfWy3cq7kt2lUSMPULnJHB/Ki1ly+n4XB73Knh+ WKbw7bvFZiwj2sFhjJKoASMpwPlPUcDgjgVy/hhtOgv7GwshpGoTLE6HUbHi4j+UktMh BxkjkluWPT06rW9dttBhtprqOVo7i4WDdGoIjyCS7c8KApJPYUyLxHp8mq6lYMxh/s2N JLi4lwsQDZ/iJ7Y5PQUdRW0Me313V7my1F3kgtJNKtmgnluF2xPdf3s8kIFCt9JP9ms5 tVF5a6ddTa7OkFpqhSS/c2zR8274IkVdhGW25IHJIPOK7DS30tbNH025glgupXdJEmEg ldiWbDZOTnPHbHtT7rVdMsYPOu9QtbeIEjfLMqrkHB5J7Hj60xnMaRruoXfiDyZ9VtUk NxNHLpryIHSNd2xlQJvyQEbJYqQxI7Uyyutcvf7ORtdmjOo6W14zJbxfuXXy8BMqeD5h zuyeOMV0h1/S01SXT5LuGOaKBJyXkUAq248c54CEn2INSJrFjc2Qu7C5gvoTKsW+3nRl BLBeuccZzjOfQE4FIDlz4munvNIebUUiF1b2r/YrZovNd5D8xZHG4oMjlCCMNnOK2PFm oy6dZ2zR6nBp6STYklkljjcqFJwjSApuzjhh0zjBrUTU9OlvvsMd9bPdhS3kLKpkABwT tznGeKtdab12EtDjLzxc1np9zLLefZ3k0ZLmyW6RUkklxJu+UcEjCZAyBn0NW4dXebxL cWt3rQspIpljt9O2x/6TGY1bfyN7ZJblSANuCODXUYooA5Dwi99axaJbSX73Ftd6T5oh aNFEJQRABSACQQ5zuJ5HGOldfRRQxh1rPttB0yz0RtFgttlgyOhh3scq+dwyTnnJ71oU UguZNx4d094ZvJgjSZ7H7CrygyKIucAoThgCe/J9a5fw74X0LTPP1G51fT7m21aEafGt svkwuCSCoO9iWOMcHtXekZBFeVabZ6q2keHfDbaLfx3em6uLi5kkhIhWNXZtwk+63DDg H1prV/18w6X/AK/rQ9D/AOEc0jzxMbNWcWf2H5nYjyP7hBOD9evvUuk6PY6HYCx0+N47 dTlUeV5McAYBYkgcdOlefQ3+uX3iHbYz6zLcW+vyRtwws0tQfmDHG04HQE5B6VF/amtW viezivLrU1ubrXDE+ZlNq1uM7VRQeO2eM8HNC1t5/wBfr+YpaX8v6/Q7K08BeGrEOLaw kRZI3jZPtcxUq4IYbS+OQTVyTwxo8t5ZXjWhE9jEIYHWZ1IQYwpwfmHHRs1yl1Hr8Wma 1qMkutXDi/khgsonMYEJkXEi7V3nAz0PTOPWsqKXxQNMkhkfXm05dWQO8cMy3Rtiufk3 5k27sZ5Jx+VSn/X9ev5jf9f18jttD0Pw1FcveaMnNtNJFsjuJDFDJ0cCMttU89h3q1rP hjR9ekil1G08yWEERypI0bqD1G5SDjk8dK8/s7XxDZ+E2FhbapBBLrkslyGjkF01sejY yJDnjJU7v1rtPCMd7J4emhvbq9mPmyLFLcwvDKIyBgfOSxxkgM3JxTe39f11EmSReHfC +q6LY21taWtxp1pKJbUQSZQOpPOVPzc5znOT1qzH4Z0aKTU5I7FVbVgRekO373IIPfjq emOtedaRaazpvg6xsBDr8CwX+3VEhjcSCIu5BiIGSpO0sU5rt/BB1Q6Rcf2l9r8sXcgs jeAiY2/GzfnnPX73NO17/wBdg2I93gptVFs13p73ot/7N8h7kMxjz/qihPJz6jNQWmk+ Cnit7SCQSx6khW2ja8mcOsbBiEBb5QCoOBjpWZ4Z8Jzv4g1bVbqGKErrE0kQuNPRpJE4 IZJGG4DPQj0p/h2DW7Kw8L20cF1Ai2939pjeNlVW/wCWe/I45PGaSel3/XUbWtjptU8K 6NrFybjULaSYkLvT7RIsb7TldyBgrYPqKtA6Z4g0gjEN7YXKkYIyjjOP5j9K878Lanq4 8T6JY3t1qjT3MNzLfrdTB4pHA+XywpICjtjA6VN4a0nXNOk8NL5urpBcw3UV9A+4RwDB KfLjCHJ4J5PrRbQS3Ok0/wAGeEJ9MdbC3S4tLhVXzEvJJOEbKhX3Erhh2Iq9a+ENDs8G GzfcLpbvc9xI7GVRgMSzEng9+KxvhhaT6d4bNhdw6jDc28jLKl2jBB87keWSMEEckiuz ph5FSw0uy0s3Js4fK+1TtcTfMW3SNjJ5PHQcDirdFFIAooooAKWkpaACiiigAoorN1TW odMZUaNndl3DHCgZxyf8M9KANGkZgilmIUDqT2rFj1lrhVfzo4wSMqgyVHuTnP5Co5pr TYkkspdsYGSTn0680XHYyfGcke6OdcOM8MD7VxrOgOfLGfb/AOvXWeIm87RlkKldsuAp 7DFcXPMsS7mIrKS1NEylqU7i4AB2jbwAcfyxVMXkqrsVyF64FMu5/NmZvXpVfJB5OKlp Bdmtp9nNqUwj85VJ6eY+0E5AH1OSOlXzobW8e5pIxMFZzDuYnarFSc4x1B79BVbw1ORe KyKzuqsV2Fgw46jaQemc89M1uTTQyIUlvrQBlTe0QCttkcsyjOcgZ7DuM96VkF2VINDt 7mK386bBuMnYAoxyR3OT0/u4rZ+H062aNZPIMXMjGIE4AKhTjHuGP5Cuee6soUSSG6mL w5EK7cYXrnjGDuY96iutesoNR+1RyXIETbon3FzkbcEbzwTgjp2H4MD2dbOVvvYX6mp4 7JEYMWJIrH8HeKbbxRo6XMTp56fLNGp+63+Hp/8AWrfzWiJsAGO+frWPFa2LanPJJY2z SGTcZDGMqfXn6fnzWxmuf1yx275zO8EZ5MocgL9aYM1b29trdN010kIB6s4FZQ1yad2X TrebUCGIzGu2MdMAu2B+Waq6D4V0htt+5uL53UMJbnlHJHVVIBI7gsD1GK6O6lNnamRE dtuAEjiLnr0AH8+g60rsRFZRX4fzrydMkYEMK/Kv1Y8k/kPargdem7pTUZ2RS6hCRkr1 x+NZOtaXqeoyIbLUvsaLyQmVZj6kg9KOgzaBB6GlHNciuk+KLU5/txNg6lyXIH0I/rXV qNkSgsWbABYgZPucetCdwuIxyxNFJS1ZAUUUUAcnb+HtYbW4r29eCQW8s5WT7VIfMRw4 VfK2hExlckZJx19bvhrStS0zzEu/Jhtkijit7aO4M/lhc5O9kVsYIAU5xjrzXOX/AIh8 QW2l6zFHcFp3e6msrnyQVt4oXdXU8YJARcE9TIOu01ujX54riS1ghe7vJrtYIUmlEcYP 2dZWO4KSq4z2Y7j6dBDaItS8KXuoSajeDU3iuppY5LaNdvlL5WDEGJQt94EnB/iI+tqT w/PJ4kS+86NbBytzPbDOWuVXarem3bg/WNT61MutXgv/ALHJpgV4rdJ7lxcArGGZwQOM sfkJHAz3xVS28VXMlsLifSHCT2L31mlvL5sksa7flZdo2v8AOvALDk88ctf1/Xy/ARC2 garaTpd2cdjczA3i+XcSsiqs03mBgwRjkAAEY59eOYZvDtwLjQ9PDNs+xpDqbIhKTRw7 Sq7sdS5Ix3Vn9Kux+KLia3gjhtLOa/uLkwJDHekxoQhkJdzGGU7R02ZyR2OarSarqWra npkdvEYIzHctcRC52fvYZEjI3BTuUEnHTOecYxRe39eob6l258PyzSX8g8jfc6jbXSMc 5CR+VkE46/u2x9R0yaq6X4cvLDU0M0UE9tBdT3MVx9sl8wGQuf8AU7dufnIzu564z00/ DN7f3/huyu9QSMTy26OWR92/Kg7iNoAJJPA4rmdKvdWl8P2WqT6lqrSTva7hOsCwtvmj DbdihsYJHJ6GjrYe52Glz3V3pcNxeQC3mmUuYsEFAT8oIP8AEBjPvmuZ8P8AhO/06bTG nttOtWsIyj3FrM7yXQKkbWBRQBkhv4uVH1q9F4guiRa2Noby5aS6dvtNwI1SOKYoeVQ5 5ICjHQcnPJqyeJr5JptStrMXFkNKt72SJ59hiVjKWK/KdzYA44Hy9RStfUPIZL4Z1qHS WsbX7BIbjR49PmeWV18tkVxuXCHcD5h64xjv0qw3hu9XWp5fKgubS5u4rtmkvJY2iZAg x5aqVfHlggkjrgjjnR0m+1G61jVoZ44/stvcBIXEnzKPKjbG3aP7xOSe+OlZep3l/aar eS6he6lYWccifZZra3SWDy9oLGT5WYfNuBJ2gDGCOTTu7g9Tb1bTP7TlsQwjaGCdnmR/ 40MUiEY7/fH4ZrDn8GywswsJI2jiitfKW4diZZIpnlbzDg/eLD5uTnnHHN6bW54L25t7 a3e6me/FtEksyoin7OJeCFyF4PXcck+wpum+Jrq8uLRZ9MSCC6llt1kW53sJo9+4bdo+ X922GzngZUZo8wb0syH+xdXXGoJFYi+Oo/bTa+cwiA8nydvmbM5x82dnXjHepdM8P3UF 1a3F6LVzGL0uqEsAZpldcZHoCD9e9R6l4jeXw559vG8Et3o897E4YExFVQge5/eDn2qW 48UNa61HYtapLbNNHA08Uju0cjgYDgR7F5I6vnkcc0eX9dgd0rlOLw9rVjZpDYyWSytp MVk0zOcwyRh9rKNhDAl8c4xjOD0otfDOo4u5JhDE9zPaS+X9sluMeTLuY73UHJUDAAA4 7dTJZ+IdXFukctjBPdXV/cW9qDc7FIR5Cd5CfKFVMDAYk4zjk1bh8R3Fy1pDb6YWuZxP 5iNOAsTQuEf5scjceCBnpwOz1vf+u4PcS30CWBrOQ+Rut9TuLyRlzlkk83AHHJ/eLn6H npWnpVxdXemw3F7AIJpRvMWCCgJyoIP8QGM++aybV/Ep8Uyi4Rf7H58shFEoPzY3Hdjb /ujd9zIHzGrOv67No/lC2tY7uR1Z2h8x/M2rjJVUjct174HTnmpvoD1Zs0Vzd54rljga 5sdOFzbxWMd/K7ziMiJ95wowcthDxkD3FM1PXb+W5EdjbrHaW+o29tPctPhyWeMlVTac rhwpJYdTxxzVnewr6XOnoooqQCue8Z+J5PCmlQXkVnHdvPcrAEknEKjcCcliMDp3wPeu hrC8WeHJPEtjawRXqWklrdpcq7wCZSVzgFSRkc0Mat1ItB8VrqGn20+qR21hNd3DQW8c V2lykhA6B0+XPXj2qxceLtDtoDO93JJGsjxlobeSXDJ9/wC6p4GevSqN54QuNR8MtpV3 qcS3SzrPb3ltZiHyHUgghA3XrznvVS5+H7nS9N0+z1URRWcEkUqT25ljnZ/vSFN4G7OT znrQ79BIu23iHTLXV54rZLWLTXsDqkl3EMByzkMxwOeBknrU0X/CJ2+qG8htrBL97Y3x mS2HmtEesmQM85+pqjZ+AY7eyNpLqBljbR/7LYrFtJG4nf8AePr0/WoLXwFqMbvLc+JH km/sk6bFJDa+U0QzkOCG5Ix/9cU/6/P/AIAev9bf8Es6v8RNI0/Q73UbUvcy2ZQNayxy QP8AOQAcMuQMZOcY4xV+68aeH7HyftN/saaPzQohkYqmcbmAX5Vz3bArn1+GbyWeqQ3G rx79Rtood8Fns2GNtwc5cliSBnJFXb/wXqd7NLcjXo47i9sjZXzfYgVlTJwUG/5CASOp HtSGbd14n0Ozu7e1uNTt45rlUeBC3MoY4Ur65PpVbXvE8Og6vpttdBVtrxJmkkwzMuxQ QFUAkk56U7TfDMWmatBew3DNHb6algkTLk4Vshi2f0xSa9oN7qepafqOn6nHY3FgJQpk tvOD7wAeNy4xim/IF5lm08S6NfC1NtqETi8haaDqN6L948jt3HUU6TXtPXw/Lrsc3m2M cLTeYoPzKoPTP0rjtf8Ah/OPCekaNpTzzXVvdnffK6xsiSbvOY8/dOfujPbrXZz6LYz6 A+hmPZZNb/ZticFU27ePfFJ7OwdUc3Z+MfEM+ly6pd+FxaWZspbqGU3Qc/Ku5QyhQRuH etWz8QmW5iN3LYwWzaYt7LulYSR56k5G3YOec59qpWvhPWY9Ll0q68TG5sfskltEhs1V gGXapdt3zbR6Yz3qWbwVDdCRLi9cxSaQumMEj2tgHO8HJ/LH40/6/P8A4Aun9eX/AATP t9b8L2NzaS+GtPsRJdXkVrPJHamAiN9xDA7RuU7Dgjg49q2ovEttf6jp6abdWc9pdGZW cs4Zyg58v5drAHqcj2zWXdeBrvWNMtdM13WY760tpYnWNLPydyorAglXzltw5GMbeBzV jSPBs2mT6WZNW+0w6T56W6NBtbypAAqlt3JXHXHPoKAL1j4y8Palfx2NnqkU08qM6KFY BgvXDEYyMdM5707TvF2g6tdraWOoLNLIXEYCMBJt+8VJGGA9QSKzLTwMtsmgo1/5i6Ol wpAh2+cJQR/e+XGffNYnhfwzr1r4j0h7mC6h03SbeaOMXbQFhv4Cr5ZJb6nHShb2B6LQ 9HooopAFFFFABS0lLQAUUlR3F1Bax+ZcTJEvTLtjn09zQBLWJ4htWlRJhHuVVIdv7oyC D/Op31aSZC1lD8gGTNOCqj3C9T+n1rJ1SymvIyb+4eaNSS0e7bGR94HA64I4PX3pMpGB HHDJexxRTI29vuq+R068du9bgt0t4sRYDdmIz/L/AOtXHX94llMos45bw7soADuC57Y5 I7EnjjOc8VvQ6t59ujhc5ABUHofT2qorQTYa3Ox0p4WXJ3b9wPSvN9QuDJMwU/KvHFdv rEk8iSG3RnKgiSA8N+Ge9eeMt/I5VNJuC5JwG+Un8OtZSd2WiEtzRuJ/hNSNpWs8FrSC 3UnAd3JGfY9D26Zq0ujOI83mp9APlgjzz9f/AK1SBBDIq8HKfUZFNlvY4sgzqMdvSpZd GtXDYlnk9GmkyB+AxUNl4HvtQDywgGJTzIWCqPxbFLQepSm1aEA7ZWY+gJNZlxcSTPll PX0rpE0a10y4ZFkF04GMw5KsfTJxn+XFRXZl6O6IOvlxAcfXHSjmSE0yp4X8Ran4X1dL 61Vyp4kjIIWRfSvonw14nsPE+mrd2cg3dJIifmRvQ187yW67VZmJ7HB3VNpurXmiXKXO n3LRSoc8cKfYjvQ5WYJH03RmvNfDnxcsrlUt9cia1l6eegLI3ue46V31lqdjqUQlsruG 4QjOY3DY/wAKtSTBouZozTc0uaYDZZRFGXOcDriqr6hx8i/0qxLLFEv711UEHhj1/CuY 1jxBZWs7Q20Je4X+/wAKD2OD1/zxRcDauL23sEW41GULkjbGBk/XH+f54tW1/a3677ed ZM84B5/Eda82urq5v7hp7iQuzHPsKSKSSI5jcgjpSUhWPUaWuCXxhPpcYNzcCXjIjf5m P45z+fFdH4b8S2/iS3mkhieJ4WCurc9ehz+Bq1JMlo2qKSlpiMOe78NQrcaDcX1ohuWZ JrZrjDM0xJIPOQWLHA9+KlOkaNqcEhRCwNwXMkUzo6yoPKJVlIKkBdpwR39TWbpM8WmL caXe6ZePczX0spZLR5Y5g8hZX8wDaMLt+8QRtx2FQWWnX9pc213A18ss2pXiyxO7+SIi Z2UlPugFghDYycjnBxQM6BLPTtHhluzmNI7cJLLLIzny03NyWJJxuY5PJzzVSz8PaHGL mO1Vz8nkOBdyMYFOG2J837ocqcLt/h9BXL2cOqT6HqUdxLqct5JpUy3VtNaz7XuCo5Rn JTruAEXykH2FW7y3urW81kQJqqyT3MMztD5xVrbbCsuwj5d/yuMD5wB8vamHQ6H/AIRn SvshtzHOcy+d5xupTMHxt3ebu352/L16cdKs2ukWFkbc29vsNtG8cZ3EkByGbOTySVBJ OTnvya522hvrqKC3ik1ZNOk1JljaV5Un+z/Z2J3M37wDzc4LYPTB6VraHNcWtnBZXUd5 K5uLiOOWVWYrGkjbC7HnlQuCevvQBe07TLTSrY21mrpCWLBGldwvsu4navoowB6UiaTY x6bBpywYtbfyzFHvb5dhDLznJwVHWrlFIRz+s+F1voYY7Fra2KPK7PLHJIT5h3OAVkQ4 J5KnKnjjgVeh0CwjsDaPG0qvZpZSszkGSJQQAcdPvNyMda0qKY/MqRaXaQajLqESOk8y hZMSvsbAABKZ27sADdjOBjNVrnw5pl3ePdTxzs0hDSR/apRE5H96MNsPQdR2rUopCKf9 lWX2r7T5P73z/tG7cf8AWeX5ecZ/ucY6d+tJFpFhB5PlwbfImknj+Zjtd9289e+9uOnN XaKYGND4T0WBZFS2kKyQSW5VrmRlWJ8bkUFsKvyjgYx2xUreG9KfUGvjDL5rSLKQLiQR mRcYfZu27vlHOM8VqUUAZMvhnSpTMTFMplm8/Md1Knlyc5ZMMNhO5s7cZyc5qza6RYWR tzbwbDbRvHGdzEgOQzZyeSSoJJyc9+TV2igArP1HQ7DVJ4prqOUyRKyK0U8kRKkglW2E blOBwcjitCikBQ/sTTvs8tv9m/dzWq2jrvbmJQwC9f8Aabnrz1qKbw3pdxqK38kMvnLI kuFuJFjZ1xtYoG2sRgckHoPStSinfW4dLBRRRSAKKKKACiiigAooooAKwvG081t4Rvpo JXikVV2vGxVh869xW7VTUrBdTtDayStGjEFtscb7h6EOrDGcHp2rahJQqxlLZNClqmcj ca7qtn4lkuL20aFbfSnmFql15iSEN948AA9ulSJ4w1ePS5ryeztmH2ZJ4WU7QSWVSpG5 icbvvcfSt46C7XAuDq92ZgnliQw227b/AHc+VnHtVdPCFrEsix3ciiXiQC0tRv5zz+55 55r0PbYZpcyXTuc/LUT0b/Azr/xNrtrqf9mLZ2f2pLc3DBWLq43YCgkrjjq3P0q/ok11 deIL25k3rBNa27pGZd6oxUlgOcenI61Nd+GU1Db9t1K4udn3fOt7Z8fTMVWtP0ddPunu BdSzNIgRt8MK5A6coik4HAycVlOpR9k1FJO3n3TKUZ82v6GjRRRXnG4UUUUAFFFFABRR RQAUUUUAFLSUUALXnUkl5Fc/aLh/NnVyCzncQQegz0A/rXohIAJJwAOvpXnuuXlu1+6a Nby329y8snSNSSc7TjLdc8ZHv2pMpE3/AAkU+8YjVZcYBH6Vckmub+2zM3kwMuTjqR/n vj8+DXOq8q3BaMo8YyGDIQUB+U59SMngV1Iu0dAWBUt69aqKuDdjMNvBbIVgXYjcswBY /Unv9eRWTdWcxlaWMeUeBuDEDA9sZb9B6etdE7JGpKAKGOTj+dZOoh51KxSFD7D+tNzU SOW5lrf2yXIj1CRbWZ+A33VJ5+7+nyn8+40jdw2tvJJcCA3LFEWUbXKZBZsdefujPucG sWXTrSS53X9qLgDkxucAnPOcdR7VHc6rPZ3KAQbrYK8YijyCu4Y4556Dg8GueTuaoL61 uZXNxcTPchhjzGYtx2rNKbTgL9OK3oWH2Vb22lVtzv5sCg7UwCxH+zgcc0Na29w7KuIp 1JDISODWTRaMQWZmOD+nJ/SrUlo7WqxTyyGFVwE3bVHr0xn8a04LQQuMqkfGS78n/D8u ajunVhvBdsEkkjgilcZjLp9oy4cswUYBB68HHfnp3zSHToRAIyY9q/NkLkL78Dv6fnWg dVRQPLhiVB067j/wLOaiuNTmmhZiCkK/MyAYRB06dMUgKcWmWHQo5XIzIRn645x+HNVp dHgIJklYccYGP5//AF/rUyaibtikdwWK4B2Agce/f8zWjZafLdbSwRYxwWIzk/zNCTA5 9fD8RJYMB+GP1FaVj4bnSdHhkuIR1yMjI+vGfzrs9O0TcQYLc4zjzZccH27A/TJrViso rUmSdfOXf5ZZCQVbHQqcE/pWihcm5z9tZ+IZHS3tddvlHQHeWJ49D0/Wt7T7HUFgZ7zW r6dAm45lAB5xjIGBnnua0FxAXkCiFMjBZiFbrgshHPIPp9Ko3urxLGcedJlwxMjFvXoB 069u1Wo2FcQ2kEMvnW7tA42qHklY/eHctyOmemKx70zSy5yJenLDcT9c80291iKBd08x y3zbSSWb3x/U1zV94lmmJS2Xy16ZHJP49vw/Om2I2rm6tbVP34WNsZCoefy/xrDu9cll ylqPLT+93/Pt+H51lSStJJ+8cu7EnA7+p9e/WtDR9A1DXbkQ2sRIH3tpwFHqW7fhzxwT U3GUhulk5JlckZx2z3P+fzr0/wCGthcW2m3VzMMJcMojGCOFByR6jJ6+3tVnQfAOn6Yq yXgW6mHO3b+7U9+O/fk9fSurAwMDoKuMepLYUtFFaECUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVPV/8AkDXv/XvJ/wCgmrlU9X/5A17/ANe8 n/oJprcC5/Yulf8AQMs/+/C/4Uf2LpX/AEDLP/vwv+FXa89/4WvAuoeI9Pl09UudGWV4 VM/F0IyQ3O35T0OOe/pUczHY7X+xdK/6Bln/AN+F/wAKP7F0r/oGWf8A34X/AAqjP4v0 O0u1s7q+WOf5BIAjskTP90O4G1Cc8biM1KnijQ5Gt1XUod11O1tCpyC8q8MuD3FO7FoW f7F0r/oGWf8A34X/AAo/sXSv+gZZ/wDfhf8ACnWGp2eq2hurCdZ4dzIHXOCVOD+oIrjf DHxFvteuFlu9Hs7DTQkjyXbapGzIqZyTHwwGR1I96LsdjsP7F0r/AKBln/34X/Cj+xdK /wCgZZ/9+F/wqhb+M9BuoJ5oryQi3RZHQ20ocoxwrKhXcwJ6FQQazNU+I+jWVrY3Fqxu ludQSylVleJ4CepZSu7I44IGc8UXYHRf2LpX/QMs/wDvwv8AhR/Yulf9Ayz/AO/C/wCF Vn8UaJFb3c8moRpHZeX9oLKw8reAUyMd8j86bc+LfD9nqL6ddatbQ3UYy8Uj7So278nP baM56UXYFv8AsXSv+gZZ/wDfhf8ACj+xdK/6Bln/AN+F/wAKzY/HHhyS1uLk6kIo7ZFk fzonjYqxwrKrKCwJ4BUHPatLS9XstZt2nsZHdUfY4kieJlbAOCrgEcEHp3ouwD+xdK/6 Bln/AN+F/wAKP7F0r/oGWf8A34X/AArkrLx/qd/4pn0qHQrb7Lb37Wkly+pxq4CnlhEc MeOcDP1rf03xl4f1e8NpY6kksuGKfIyrKF4YoxADgY52k0Xdrg1Z2L39i6V/0DLP/vwv +FH9i6V/0DLP/vwv+FQ2/iPR7sWBgv45P7RDm0wD+9Cfexx2qrYeNfDmqajFp9lqsU1x MjPGoVgGC/ewxGMjHIznHOKLsDQ/sXSv+gZZ/wDfhf8ACj+xdK/6Bln/AN+F/wAK5+38 f6fqfivTtH0h1vILpZzLcBHVVMYGNjEBXBOeQT0rraLvcXkUv7F0r/oGWf8A34X/AAqn Fa29prNzHbQRwobeElY0CgndJzgVs1lv/wAhy4/69of/AEKWmmwJ6KKKACs/Vtbs9HjB uGLSN9yJBlm/wHXk1oVxvjWJI9UsLgg5dGDHofkYEf8AobflSbsNEqXM+uh3vpEWAfds o3wD6bj37fl0HObclzaqAhZVA4REXOwgHoQPTt/SuNbzImZeRtYgkHjIpqlpJh5hLgZw Cx5OO/t6+2aNCifxDCNav0g05vJliX554zhY1IwMgdfZe/f5R8zoBdWUHkuHuIo+PNAG R9QOv4DvXQJp0UNr5C4PUs2PvHuT/h+FUG04gkzlZDtwJFyj/Tjkd+hA9q2ilEzk7lOO 7DWxeOXzCHIMfdQBnP8APjHb6VKuN5R1ZG5yCOeP59KoXtksKtJbqY5R3Q8tng5J69e+ azLbXZ7LJ1awMwDArPbucYyCSQcnJAA46+3bnqWuXE6VtNW4tHuZ3jjhjfYpOSWbGeg5 P5ge/WsFpbcSvHbxuoQffmwGY+vHQe38xWtDqCalp7iF4zHAfMZy+QxYbTjA6Ar36AZJ qCe2ViyMPnDFSR1GDWTNDmr21nEv2m1uGjnEZV8fdYHqpHQj2qzp2t20032bVYvJuGdN spfCgbmLlW6g/MSAepx172Z9OljJ8smRcc4HP5VXk05LyJ4JVAXhct2H9fpU3HY2IV3K kk0QuI2VWzjBjyqthhnsGGT0qndRgANCFYPwNuAPTOaqQGTR1WNY2u7VCdxZRvUZGSPw xwT3x7HPi1lISWDbgeqYwM9xjtSugI79L2Ocop8uNeA5TI6DPX69qzGiJGZpXmZf4WY4 98f5/CuwuIItTQyL17j0rLg0rZfBbgEx9f8AePYVaihNjdD0ya5G6SQxWoPKKcF/YD09 e1dUgVQqooRV4UAYAFVVnIAARQAMBR0A9qcLg56CrSFc1rXUZbdgQS2F2gFjgDOcYz69 ulOn8RMCotEJkUkBnOdvoB2x36AdOPXDuNTt7VcyuQf7o5J/Cufu9ekYsttlAx5I5P59 qd7CsdFe61PCxe6ljDEZ25LN+A7D8hWFeeJZ5cpCAg5yQOf/AK34fnWHLMWy80nU9z1P +NA3uvA8pPVh82PXHb8fyqGx2JJZmcl5pMlj06lj9O5pVRyu5sRIO5wT/gP1/CkXy4jl QS7cZOSW6/j68V1fhHwXdeIGW8vd0NiDwR1fHZf6noO2cUrXDYreFvDFzr0xFuhhtlI8 6eQE49v9o4x/XFeu6XpVpo9ktpZx7EHJJ5Zz6k9zU1paW9hax2tpEsUMYwiL0Aqatoxs Q3cKWiiqJCiiigDgrnUbyzv3t/tc3l6HePdXbM5+aCR1KhvVRHJIfrEKtf2zqlro9o9l IJry7jmv2hni3nyi24DcZEVAodV5J9hW813o0+t3GjusD301sHnjaLPmRZxhjjDAbuh/ ve9WLvSdMv8Ayftmn2tz9nOYfOhV/L/3cjjoOnpR0HpcwLzxJqj2kt5YR2kcVvpkWoyJ OjMzhg5MYII2nCfeIP0NX9Fmvpdb1oTXUb28d0qxxbW3JmGIjBLYA5PGOSSa1PsNn5bx /ZINjxCF18sYaMZwhHdRk8dOTQthZrfG+W0gF0yeWZxGPMKf3d3XHtTdr6C6GBqWu6vb 3d01stl9mtr6Gz2SI5dzKI8NuBwNpk6YOQMcdaT+3dX3JppayF+2oNZm6ML+SAIfO3eX vzkj5cb+uTntXRNZ2r7t9tC2+RZWygO51xtY+pG1cHtgelR3OmafeQS291Y208UzB5Y5 IlZXYYwSCOTwOfYUK39fL/ggzEtNd1S/ksbaBLNZZluhNK24pmGVY8oAejE5wTx6nHKa Tr2r6lqSyfZIhp73M1uRtCvF5Zddxbf8xJT7uwEbupxzq3txpWg2kVzPFHBHCBBAIodz DcQBGiqM8kD5QOw9KqWL+H7vUrrUItOjg1C3AaeaeyMMwUggNuZQSCFIyCRxRfqMXW9Q v0votNsJbW3eS2luHnukZ1CoVG0KGXn585zxjoc8Ydnr+sLY2VpptskzWulW1zKJwC0+ 9T8u4uuz7h+YhuT0452pbzw34h0S31G5gt7+xeZUiM9tvw7P5Y+VhkHccdKsT6foWoXq 2NzptncTWMKPGktsrCJGJC7SRgf6s8D0HtQtNP66i31MhtU1KzudckN9BtW9ihtongeU q7xw7VA8wDBLHjgZJORT7HW7u++wpfWwjuY9TktZNrFBxA7htquw6Y+UswH1Axfuk8NX mutpt1a2NxqU9sTJG8Cu5hUjhjjpkggH046UyyvvD0d9HplnaxwmOZ1hKWhSLzUXDBGx t3Bcjg9Aw7HCVhsyLawmvdD8PSWzXn26S2t2+0C6kWOJE2sxZQ2GLAkYx82eSMZG7rU5 gv8ARP3rRpJflHwxAbMMuAfXnHB74qKy1zQJsGALClpbPJDI9uY0EAIDNGxABThc7eMb T0Iqe3vtK8S289pJbmZFCNLbXlsVyrcqxRxyDg4PqD3FP0Ayzql7Hql7b2U0TPc6sLZH uNzpEBaK5woI7qeARyTUcfiXUrkQWyS6fbThblprmVGaJxBIIzsXcCM5zyx29OetOvk8 MzXFvoTaZK8On3IY21vpjyWwdkOA+EKAYk3dRg4JqxNpuneJdOsYrR5rO1jhSeER2cWz awIXb5kbBWAB4XBGeeopegx2n65qGozwbY7aCD+z7e8nZwxYeZvyoA9k6n8j2zbfxhqE UF3PdW8VxCNPa/tZEj8gSKMcEb3YA7gckL344ro0TT9I+xW0cQQzBbSFguSQiMyqW64A Vuvr70y20/Q9NvBaWmn2drNcxyPtht1XegKh8kDHVl4PX8Kp25tNidbHPTavqukXuqS3 M1teXLLYxR+TGyRRmSR1BKs5yRnJ+YZ+Ucda6LRLnUbi3mXU4Ujmil2K6AKJFwCG2bm2 9SMFj0z3p9toOj2dtNa2uk2UEFwMTRR26Ksg9GAGD171NY6dY6ZB9nsLOC0hzu8uCMIu fXA70rgcvZarrUcEVsLu0ea91S5t4pponYQhHlY5G/5uEAVcrgeuMVv6NqT32kfa7ny1 eN5Y5GjzsYxuyFh3wducc4zjJ61JNoekXH2jz9Ls5ftZVrjfAp80r90tx82O2atQwQ28 CQQRJFFGoVI0UKqgdAAOgpdB9TkbbxbqYt72WeGGaMaa+oWkqw+UsirjAK+Y7YORydp6 8emg17qLxazYaibZ2jsRPG9ujIAriQbSCTkjZ14znoK07fQtHtElS20mygWZWWRY7dFD g9QcDkHAz9KNVhiXTL+ZY0EjWrqzhRuKhWwCfQZP5mqVtBG5XBax8K7PWdJ1G0nv9txd alJfwXIg5g34BTG75hgeo7HtXe1wVv4gudOtp/7MsYTNdeI5LEie4lZTnPz5JJX7vQce grPd2/rdFXaV/wCtn/wSa9+HKzavd31ve2wS+MbTx3diJyrIMZQ7ht/ENg1DqHwrtb7U 9Xvl1OWF70iW0Cx/8eMxKs8ifN95igyRtOOM1t+Dddv9bsr9dUit0u9Pv5bORrbcI32Y +YBiSOvrXG+HtP1bVfGWp373esyWtnrM0YCamFgVVIIUxEEsOegIGKOv9eQrWTf9dT0P QdHh0HQbPSYG3paxBC+3G9v4mI9Scn8axNN+H+m2XhCTQJzHM8sUsT3scCxykOxPB56Z x1PSsLw1f7LPwe08UlzNJb3r+YZ5Nw25ONoOGznHzA47VP4Y+IGoa3quk21x/ZbR6tFP MIrV2aW1VB8qvk8k+uB0PFN63/ruF7Ilj+HF3Hp8ltHrVvBJ5McMdxbaf5UhVWU4kYSZ YELggFRyaWP4azRWcyx6xDFdNqcWpRSRWO2KN0GNvl7zkHn+IVm+D/EWv2tt4c06ZLOW 11WC5EMjPI0yvHuYM5PGD0wOfftW38LL/UdQ8G282pXsd3JucBvMZ5R+8cfOWJ9OPaj+ vxDYr6x8O7/VZNV2eIhBFq6QG7j+xBt0ke0blO/5QdvT9a2Z/CEF23iAXN0zRa5HHGwR NrRBY9mQcnPr0/OuG0FL/UPH1/PNql+YLbWpY1i/toRoFByF8gqSwyQOGH6c9FbePL2b xD/wj0lnCmoW93KLvhikdqihhKPdgygD1pXvH1/4A3o7DIvhvKlhJayXuly5hSBWbSR8 yqwP7z95lvu9iuDzXQeFPD0vhvS5LSbUpb95J2l3PkLGDjCICzEKMdye9cW/jrVNTtr+ ylFtJbXmj3N1a3NvG8LLtUjozsT9SF+lacfjWTSIVsZhbgW/hyO/ieaQhpZAMbeTz0+v NO+j/rv/AJCtt/Xb/M29I8HWOmy6nNOIbuXUL2W6ErQBXiDgDaG5PHPPHXpWfovgGbTr 3THu9ZN5a6PHLHYwi2EbKJBg72BO7C8cAetZWs/ETU7XTLe9sUs3kXTYb+6tXhckB/R9 6hR6cMfao7bxVq1j4h8W6hNLFPa2dpBcx2TSvkAwlgEzwP8AaIHvS2uu3/DBvqaeifD2 70m+0eSTXvtNroxnFtAbQKdsgIwX3ckZ64/AVas/ASWyaAj6j5i6MlwpAh2+eJQR/e+X GffNZ9j441ZDewXy6bdyx6MdVhlsSwjX/pm2Sc/UEcdq6jw5e6rqOlR3uq29pA06rJCl tIz/ACFQfmLAc5J4H5mm79f63/4IXtt/X9XMDQfAV5pGqaTcT66t3a6PFNFawfYwjbZP 7zhuSMDt2rtaKKL3FawVlv8A8hy4/wCvaH/0KWtSst/+Q5cf9e0P/oUtNDJ6KKKBBUc9 vBcoEnhSVAchXUMAfxqSloAxbjwvYyEtbj7O3HAG5ehH3T7GsK98LXdsPMhhWbywuAhz vAznI4PPoM967ailYdzkoZWMW1wyyLwyuMN+I/z3qKVzuO7BzXXyQxzLtkRWHuOlUZNF h80SQO0bDIx1GCMH3/Wqb0EcbcgTHaRVJ9NVkOBuXHJPNdTPoMiOZJY942/8sOMtngdO Bjvis1tOkUNgMFK5+bjB44P/AH0OeKwa11NEcoPC1xPOb3TpDZyK2S5HyIvYucYPbA5P cUQeKFsd1pqFoGiXai3EEZKvtLknBIKkkgEjPfpmuq1SWSPS7OzkJAjMokXP8ee/uAf1 NYMljC8eCu0E8oen5VL02KSLlm41BVMRVmI+8GBRzvCfK3Q/eX8+tOntzGxE0OCMjnjJ Bx+IyDXONpF5p8pudMuGt3LK5VOUYg5G4d+n1q5p/iy5t9lpqlsqLknzNn7sttVQcfw5 2keg3E5FLRjL08Lyxp+6Xyx2I59f8PzrlNU0sMwKgq4HDJ0/Ed69BuYbWWxNzayhomY7 AJFYEbmAPH+7/gawLu3R5w00Qfb93t27UuULmF4a8QQf2gbW4YI7kbWP3W+me/1rsp9O WePcgG4jJT8v8RXH3vh23haQW8YkDdyOR9KZYeIdT0DEN2Gu7RTw38cf+I9v51qtiWb0 zfY42M3KKOvcVgXuuSH5YFMSn/vo1a1bXbTVNKkMDhmJXGB1+YduxrkftEhUoCAAPvMT x1/woYi7LcFgXmkwOpJPX8ai8xmGUAjT/npIP5Dr+ePxrMe/RXAhUyyDox7f4VPBZ3F2 4ad2I9BwB7Urdx3LMdzH5pW2RriXoZXPA/H+gq2sbgjzD5sjdFHAH+A569f0ohjWMGGB V+UYJxwv+fT+WatW9u80iQWytJNMwVeMl2PH9f8A9VSxo1/CPh5tf1sQnJhi+e5lA4Vf 7o9CxH9eduB7ZHGkUaxxqERAAqqMBR2FZHhbw/F4c0dLVcNO/wA88g/ic+/oOg/PqTW1 W0VZGbYlLRRVEhRRRQAUUUUAcdHoeupexawZIDMdRNxJaiPD+Uw8raZN+DtjCtjHVKr6 NYyXerpeQaW0L2+pXhm1JpE/fRB5V8oYYuRuK8EADbnrjM+neKL+68QLZ/bdOuA1/Pby WUUTCe3jQviRjvPB2qOVA+cc1qW3i7TLjU/sSCRVaSSKO4LJsd03bwAG3jG1uSoB2nBO RlLYb0uv66nM6Fp19PokN/puiLBK+jskj3EkZXUZGVNhO1juAAbl9pG7HTOLVh4cvksL 62jsbm1tbie0dLd3giKhZQZSBCQq/KAeDk+pPA3I/FUDaeb46bfpbuE+ysyJ/pW8gIEA bIJJH39vXJxg4kHia28lDJZ3kdw1z9la18sNIkmzeAdpK4K4OQSOeSOcUF7mFrvhmWTV SYtNuLizNskdp9kMAazkDMWYeaQUJ3KdyZPy89BU1zol6/iCWf8Aswy3L3sM0GqeYg+z wKE3xdd4ztkG1QVO/JPJxe1DxNKs8VvZWNzxeW8FxcOqeXCXZMofmyW2sOVBAJHPXE1r 4t0671UWEay4eWSGKclNkkibtygBt4xtbkqAdvBORkV1r/XRiJdetLqWTT76zt1upLC4 MxtywUyAoyHaTwGG7IzgHGMjrWPNZ+I9V07UrR1uYob5o4oxfeQXhjJPmnEJwV24ABJb Pp1roNJ1aLWLRbuC3uI4JEV43mTbvB9BnP8AnjNYth4lu9s093aXUrz3strZ2cUcYL7G cHDF+yoSxYgenbJ5B5kUmi63BDqcIEN2JLm3v4PLUQqXR1LxBSxxkRggk4y5rV0lb251 m91O6sJbGOWCGCOKZ0aQ7DIxY7GYAfOAOc8GlTxNayi1EVreSy3QlKwrENyGNgrhucAh jjrg44J4zPrGtW2iwwvOrySTyeXDEjKrO2Cx5cqowATkkdPXAo2H5FW9F5/wlNhLFpU8 tvFFIklyrxBV3lMcFwxxtOcD0xms630vUftNtpz6eY4bTULi7N6XQxur+aVCgNu3fvQD kAcHk8Z1LXxRpt1FFLveJJYZZd0gACiJtsgJBIyp9CQeoJFVr3xpp1iY/OhuP+PdLmcH Ypt42zgsGYEnhuFDHjp0yrdAuZC6Dqt/pMWmS6cLQ2OkTWIllkUpO7BFBTaxIT5MncAe Rx1rd0iO9udZutTutNk09XtordYpnRnYqzsT8jMNvzgDnPXgcU+fxJbwX7Wps7t447hL eW5VF8uN3ClAfmyc71HAOM84p+uancabJpxggkuPtF0YniiUF3HlSMAMkAHKjkkCnvqw 8ivY6NKmvatfzNPGs9wjwhJyEdRCiklQcdQRz6Vg3GlXth4fDXqxxW8Gn2EdwktysaSe XIxljLE4GQQOflOcE4zW8PE9psiu5Wkt7cW1xLNDJDl0MTqrAkE8gkjAB3Z4PHMN74mk FlMU0+6tbmCa1DwTojM0csoTgKzDJAbvnNLZDuY+jabba3axmDToP7KGrvJ5CMjQrF9m KcbTtYbzghcjJI5wat2vh+Syv9Lmk0ZbiK1kuoUVTGTbo04aFhuI+VVXoORkACtF/F1n Bab5rO6huRcfZhZyeWsm/Zvxkvsxs+bO7HbrxUsPimzuY7Rra3up3u1lKRxxhipjYK4Y 52jBOM5wexPGa/r8CTaoqjqeqR6YkI+zz3M9xJ5cMEABeRsFj94hQAATkkDj1xWLb+MU h022e9t5ZLy4e4It42iRkSOUr8xZwuR8oIDEk9M80gOoorAtvEzXepyJbWU1xY/YIbuK aMKMh/MPO5h1CADjrnPFNt/FtpqNnLJbM1vLb3MEMqOI5ivmOqgfu3K85xndx1IOME8g Ohqnq/8AyBr3/r3k/wDQTUei3k19ZSyzkFluriIYGPlSV1X9FFSav/yBr3/r3k/9BNC3 BmzXNabrnhXVdbuNGsoYnvbSdriWM2TKElBwZNxXG7n72cmulrgBpniGXW/GUp0WWCLV bQR2k32mI7nSNkXgNkbicjOMd8VBSV9Dube0tbQy/ZreKDzpDLL5aBd7nqxx1J9TVK5u tL0BoR5CQHUrwR/uYgPMmcH5mx3O3kmuJh8E6zZXly2lLJZNeeHhBLcNdEk3gIwSdxbI HG4cDtRp/hm+VdKEHhWTS5La/tZrt3vUk87asgd8BjkgsPm+827pxTtrb+t7C6X/AK2O /i0vT4PI8mxtovswYQbIlHlBvvbcD5c98da5VfD+i+FvEGnapfX99d3dzMbO081Y8K8g JJOxFySAeWzWOdD8WJeLYjTZHto/Eg1D7YLxAGtyxONpbdx6fkDVWPwfrf8AwlNtdT6E ZriLXDdy6ubqNt9tztUKW3DGR8oH8NEd1/Xb/MUtn/Xc9Lj0rTYTbeVYWsZtN32fbCo8 nd97Zx8ue+OtLZ6Xp+nPM9jYW1q1w2+ZoYlQyN6tgcnk9fWvPdP8Ja5beLje3trdzTDU 2nTUIbiEK0BP3HLfvNoHGwDHTFdr4XtZbPRVhm05tPcSyHyGufPIBckHf79cds4pDJR4 c0IX/wDaA0XTxeb/ADPtAtU8zf13bsZz71aWwslvXvltIBdSJ5bziMeYy/3S3Uj2qxRQ Bl2/hnw/aO722h6dC0iMjmO0RSyt94HA5B7ipLrQdGvvK+16TZXHkIY4vNt0bYhGCoyO BjtWhRQBmXPhrQbzyvtWiadP5MYii821RtiDooyOB7VMdH0s3q3p020N0kflrP5C71TG NobGcYJGKu0UAZ9poOjWEE1vZ6TZW0NwMTRxW6IsgxjDADkYPerscaQxLFEipGgCqqjA UDoAOwp9FABRRRQAVlv/AMhy4/69of8A0KWtSst/+Q5cf9e0P/oUtUgJ6KKKBBS0lLQA UUUUAFJS0lABUM9nb3P+tiVjgjd0OCMHnr0qaigZkTaG2JBBcHbJuyr56sVycjGfu9Pe sW50PaGNxF5TsGbeCAgOUAyegGS5wOcYFdjRUuKY1I83nsXj3LuG6KNWbIwRuAyPwJxV ea32yBbiAMVYgbh3BxXolzpFndIVaPZkY+Q44znp0681n3OjXIkDxMsyCQOUHylhvLFc HgghiOo6D0rNwLUjz77ALZmbTp5beWQZZSNyE5zyPw7c+9I95cQLt1SAQZbiRTmM/U/w /Rq6caX80cdzbiGZsbnHylnMm3hemNpB4GOKy9Qtvs7x4ferKGBOPUjoCfT19Ki1ir3E WyW5dtpHse2Mdap32kHaRLFuGOuOahtJpdOnDQkICfmTqh6847dc8V09vrNleHyLgCGX p8/3T6c/hWiZLPLtU8KzRSPcac2T1MZ6nH865l9PvGlZJRtwcMOnPp/OvbdV0+JR5kQ4 JPFeeeIJNuqlX5VUHbJxjtQ2KxjWenRxA+nGT3q20yLGTu2Qjq/dvYf4/l7U7m9WKMmX 7p6R92+v+H/6qhtIZ9TuA82dgPCg8AVPmBpWha8IbBitlPC45b3P+Feq/Dvw15Y/ty6Q hmBW2Q9h0LfzA/H1Fcp4S8NNrmqJBtK2dvhpnHp6D0JxgfQntXs0caRRrHGoRFACqowA B0FVBdRSfQdS0lLWpAUUUUAFFFFABRRRQBjjw3ZqkflyzxzRXUl1HOjAOrO5Z1zjBU5w QQeMdwDRaeHYrK7d4b67Fq7u/wBiPlmIF8ludm/GSTjdjn04rXooGYUfhWJNP+wNqd/J bx7Psqs0f+i7CChQhMkggff3cDnPOZ7bw/BbtFLJdXNxcR3RunmlK7pZDGY/mCqAAFOA FA6D3zrUU7iMW48Mwz6iboX95FE9zHdSWsZTypJU24Y5Ut/CvAYDipLLw+lhetNb6hdr bmR5BZ/uzEGcktg7N+MknG7AJ9OK1qKOlgK+n2Uem6dbWMLM0dtEsSFyCxCjAzjvxVCb w7bvbRxw3Vzbyw3MlzDcRlC8byFi2NylSPnYYIPHuM1r0UAZtjoVrYS20sckzyW8cybp GBMhldXdm46llzxgcnjph+q6TFqqQEzzW01tJ5kM8O3dG2Cp4YFSCCRgg9fXBq/RQBj3 nhq11LTrayv7i5ufs8wlErMqu55yrbVA2kEqQAAQadfaAl3qBvoL+7sZpI1jmNv5ZEqq SVyHRsEbm5XB5+mNaigDOk0S2lFzukl/0m6iunwRw8fl7QOOn7tc/U1YurGK7ntJpGcN aTGVApGCSjJz7Yc/pVmigZiXHhmzktpkxJMXiukEckmxW89w7AsBkfMBgjkD1NU9J8OX z/apdauGaSZ7crtuBKw8ly65by0HJPQL075NdPRRcRj3nhu2u5ZJ1ubi3uXuRcpPEV3R P5YjOAykEFRghgep9sWLbSUgntriS6uLma2ikiEku3Lh2ViSFUDPyDGABWhRQBR1TSk1 NYGFzPaz20nmQzwbd6EgqeGBBBBIwQazx4TgjgtVt9SvoLi2EoF0pjaSQSPvcMGQqctg /dBGOO+d6igDEvvC9vqAdZb68CzWn2S4Csn79AGwWypwQWY/LjrzkcUsXhmFRKbi/u7q WV4GaWXywf3L70ACoABnrx09+a2qKAKFtpMdo0ZhubhVSaaYpuG2QyMWIbjkAscf1p+r /wDIGvf+veT/ANBNXKp6v/yBr3/r3k/9BNC3A2axrrxJbWuvQ6Q8TmSXADjoCelbNRNb wNOs7QxmVRhZCo3AexqVbqMzPFOp3OkaBLeWjRrMssSBpIjIqh5FQnaCC2AxOAayr3Wt btdHjW0ubO/1O6mZbfdZyW0YVELtuVnLdFIBzjLLxXQ6pYQalZ/Z7l2SMSxy5UgHKOrj r2yoqG80LTNU1CO8vreO8aKExxxzKrogYglgCOpwBn0H1qRmbrHiO5bQrC50BYJrvU1E lqs+dmwIZGJxyOBt9iwrbsL6HUtMt9Qtm3Q3MKyxn2YZH86yYPCOhQywxSwpdJbpItvb XAR0hV33kKuOOwHoAB650tM0y20fTxZWpZbdGdkViMRhmLbRgDCjOAOwAFN7MRzmla7r /wDZ+j6tqMljcWOpmNJEgt2ikt2k4Q5LsHG4hTwOue1TXHjmBrDVxa2siahp1o9wLeV4 n3AZ5PlyHAz1BIPtVnT/AAfaWcNtBNqN/fW1ooFtBcOgSLAIBARV3EA8Fs46jnmksvBl na2ptZb69u4fsT2KJMYwI4W2gqNiLz8o5OT65oXn/X9MfUXUPGFtpH2Y6lY3Nqk+MvJJ APLy23lfM3N2PyhuDXQ1zc3gyK5aUz61qUhuLcW9yT5INwgLFd2I+MbyPlxnjOe/SUyd QooppdA4QsA5BIXPJA6/zFIY6iiigAooooAKKKKACst/+Q5cf9e0P/oUtalZb/8AIcuP +vaH/wBClqkBPRRRQIKWkpaACiiigAooooAKKKKACiiigApKWkoAR0SVCkiBlbqGGQay L/wzY3q/LvgYA42HKjPsf5DFbFFDSY7nA3vgrUoZAbZo7iJTkAEKQM+/H61nGwkW58m7 hkhcnjeuK9PpskUcyFJY1dT2YZFTyFcx56tldRw4ikLx4HyMfu54A9q5TWdAu5tUE+Ns ZAyT1GK9dm0SAndbu0DDoB8y/kf6GsjUNEvEtyqQrMoHHlnkAex9T9aloaaPFL3wzJC5 ubi7WUZCgbSMenFaWmac8k0dnaoHmmYKirg9Tjr+B/I1p+KIWit2jeN0ZXG5WXBH4Gu1 +HHhv7JZjWLqPE04PkKR91T/ABfVh+n1pWu7BsdP4f0WHQtKjs0w0n3pXH8b9/wHAH0r TpaStbGYtFJS0AFFFFABRRRQAUUUUAZK+ILZ9OivFhmJkuvsohwN4k8zYQeccEEnnoCa mk1qwtbX7TqF1BYxmZ4la4nRQxViODnHOM46juAQRWfH4fuF8UtftLEdODG5jh53rclP LZvTbsz+LNVGbwxqUVxDd2/kTyRvdq0LXUkClJpvMBDqpOQAARjBz145OgzqDc2653Tx jaVBy443cL+fb1pwmiKuwkQrGSHO4YUjrn0rl7nwc1ybSFXjtrRLFYJ4o3ZjvjB8kqxG SFLscnnKrW1oWnzafo8VveNHJdOWluWjzsaR2LPjPbJOPbFMRd+0QZQedHl0LqNw+ZRj JHqORz7ioLTVtNv7c3NnqFrcwhxGZIZlddxxhcg4zyOPcVzFh4YmvNJ1i2lleNJUl0/T /NjI8m3BOBt7gk4/2lRKtS6Hq14t5dzRWFvdyfZfKgilZ4z5EhkG59gI3ZxwpwAOvSjQ DopLy1hDGW5hjCttbdIBg43YPvjn6VX1HWLLS7BL64mUW8kkcauGXB3sFBySBjnJ9gay IdAvrm9W71KKyydTF40SO0ihRbeUACVGWDYPQdM9eK1NcsJr/SjBaiLzo5YpY1lJCExy K4UkA4B24zg4z0NAx8+sWMdu8sVzBO4jMiRpOgMgC7uCSB0wckgYOc4p76pp8d5HZSX1 sl1KcJA0yh2OMkBc5PBBrIk8P3Fxp+vebFaR3mqxlUKsWCZgWPaW2g4DBu3Q9OcVSbSd SvtX1S3FrbRWb6hbzNdSMwlPlxwthF2YYZXG7cMEtxxyAdNFqVhcXstlDe28l1AMywJK peP6qDkfjSXWp6fZSxxXd9bW8krBUSWVVLE5wACeScH8qyNG0jU7HV5JHEFvYfvWEMdw 0293fdu+ZAY/4sqGI+b2pdc8PTap/bJjNvuvtNW0hMmflYGQknjgfOvTPTpSA011rSmt Z7tdTszb27FJpROuyNh2Y5wDyOtL/a+mixW/Oo2v2RgStx5y+WQMk4bOOx/KsnUdE1Ez Xs+mSQRNPHaoqbzHuEbsXBYKduVYAMASMdqzP7F1TTY7HyrOC5nk1drkQvcyyRxg27g7 pWQt94HkjqQOM8MR1E2taVb2cd5PqdnFbSruSZ51COOOQxOCOR+Yp1xqunWksEVzf20E lycQLJMqmU/7IJ56jp61zC6Tq2n6jpwt7Gyup2ivpZRI7pBCZZY22q4RvUgZA3AMeOlM fwbe20aQRC3v4JdPhsp0lupbYAR7uQEDblO88HGMdeeENnRalr+n6ZcwWktzCbu4ljjS 2EqiQh3C7guckDJJ+hq5eXtpp9s1ze3UNrAuN0s0gRRngZJ4rnrjQdU/tKYQJZNaXOoQ Xsk7yssy7NmUChCG/wBXwSw4OMd60tc0+7upbC7slglnsJzKsM7lEkyjIfmCsVI3ZBwe mO+afT+vIXU0Yrq2nCNDcRSCRBIhRwdyHowx1HvUEur6ZA1ss2o2kZu/+PcPMo87p93n 5uo6etYE3hW/bSrVLa7htb4Szid487VhnctKiHrkZBUkDlBwMkUar4XuJb+Z7O3tp7O6 s47R7eW7ktxGqbsY2KdwIfpxjHXngA6X7Za/aBbfaYvOJwI943Zxnp16c1NWbp2lC01L UryRIS93Oro6j5goiRME49Vb860qACqer/8AIGvf+veT/wBBNXKp6v8A8ga9/wCveT/0 E0LcDZrCvINebxLbyW0qjTRjzAW7dxjua3aKlOwznvHpsx4H1f7d5PlfZmx52Nu/Hy9e +7GPfFUBrehaT4wlkn1Kws7WbSLb7MzTIiOokl+5zgjBHT1rotZ1MaNpFzqTW0twlshd 44iobaOpG4gcDnrRLrFhaLAL+7t7GafaFhuJ0VtzdF68nII4znBo6AcXZSaVaa+sUQ0f WbmXUnk3odt/AWfqVwSwQHBOVGwDr0PQ+MZJJrC30mG1lum1GdY5YYioZoF+aXliAAVG 3qPvip4vEtlJq2oWheCOLTR/pM8lwi7DtVj8uc7QGGWOBnIq/FqumzWaXsWoWsltJnZM sylGxnOGzg9D+RpdA6nG2+tTaZoFjp13ff2IbXUG0+eadoy0UQid4jubcuSnlc8jOevS lbxJP9m06O/8SpptvcJdlNQZIka4EcqCJhvBXLISeBg9QBxjp7q/0Ka8sludRtPtETme 2Q3KqSfLIJAz8w2OT3GCD6U2XU/DxS31+XVLIQorwRXZulERDFSyg52k5jHvwfej1GrG ZpOo63qVxD5832do9MtrqW3WABpJXMmR83Kg7Bx1Geo75eneKbkWMt1Jq8moEaXJdX0U MMe/T5xtxGAANvVxtkyf3fXrXWTeINMg1GzsXu4hJexNLA3mLtcAqAAc8klxjHXBpV1z Tkjsvtd3bWc1+oaGCa4j3uTjhcEhjyB8pIpi8zkLXxPqg0vUcarBdxQS22NRjeOcQxSO VkclY0QlApP3SB3JwRVwB9U1XTBp3ieS5/0S8A1GGOF2YB4OMhdh54yF9uvNdTJqumw3 sdjJf2qXUpKxwNModiBnAXOTwQfxq1SBaFDQL2bUfD2nX1xt864tY5ZNowNxUE4H1rQo opvcAooopAFFFFABWW//ACHLj/r2h/8AQpa1Ky3/AOQ5cf8AXtD/AOhS1SAnooooEFLS UUALRSUUALRSUUALRSUUALRSUUALRSUUALRSUUALRSUUAFFFFAEN1Y2l9GI7y1huEByF ljDgfgamAAAAAAHSiigBaKSigBaKSigBaKSigBaKSigBaKSigDnZ/FMsNlPeHTG8pLo2 kJ83Jll83yhwASFzyTyRg8HjKN4mu10zzm02OO7Fx5AhlllVZfl3ZjIiLvx/sdQ3pmpP tPhW8Mvh8X1lJJLM7Parc/vBLvLsRg7gwbJ4wQRxjFOh0XQtRtDDBPNcrbXLEypqMzSx ygbWHmb9wODgjP4UdBvcZp2tvq2o6VNGJIIbizuWkgcEESJJEvIIByCWHIHXkVNqGvyW WtQ2H2aJYXCbri4mMSsXYqFj+Uq7DHILKeRjOan0u00YbH0wxSfYjLbgxyl/LLMGkU8n ncB15FR3dho15riJcTlr5UWYWv2xwGVW+VzEG2thu5B5A9KbF0KkPiiSXWjp/wBjjaOV pUt7iKV2RnQElWYxhQflPCsxGDxxVGy8V6muk6Sk1hFc6heWYuSfOYKUATLEpEcMWfhQ uOvNbOn6FoyTpqVkrPuZpomFzI8al87iiliozuPQd6b/AMIno4hjiSK5jETMYmivJkaM NjKqwYFU4HyA7eBxSGZl5rF3LctLE1xbJJFpsghkXa0fmXDK4I7ErgH6VJBreoHV7aOF fMtCL4zefKAw8qdUyNqdFBOB3B5ORk6f2HRXvfsRMbXSwwsYjOxk8uJy0bEZzgNnnv3z SJpWj3KxXEIyLWeZ1khndcOXJlUlTyN4OVORkYxxTdg0K2geJJ9amj36ZJbwXEH2iCUF 2G3jAfKKFYhgQFLDhueOZNR1ptO1G6VYpZzHFahYt6qhMsrxgjjIOcZySMAYA5zNo+ka VaIl5phl8mWMGIfaZHiVGwRsRmKqOn3QOKfqVtpMbNeagUjMhhUu8hXcY3Lxgc9QxJ46 980OwkZsPie/+0GO60mKJILxLO6dLvfsd9uwoNg3D94uc7SMng4p0Pivdrf2Ga1T7O7S rFdQO8ilowSwYmMKDhW4VmPBrSh0/S7yFrmBUmiu5o7wyJISsjqF2OCD0wi9OOKq2uka Da60Vgb/AE5N1wLdrt28sOWDMsZYhQSzdABk0dP67f8ADgUl8YSQ2jXt/pvkWz2D38Hl T+ZI8a7eGXaArHevAJHvUieJ7tLO4kutHdZYpIVRYnYpL5r7AA8iJ8wPUYxyOeeG6R4P SyuZ5Lx7aeGS3a2W2ihdYxGxBKkPI/HAAVdqgZ4540rfw9p1tC0Krcyozxvie7llIKMG TBdiQAQDgcetGn9ev+QdSrd+JG09pIL2y8u68pHt4kmDC4Zn2BFOByGKZ443g1o6lqA0 20W5kjLp5scb4P3AzBd30Gcn2zUV5pEd9rGn38xQrYeY0aFOd7AKG3dgBu47kg9qtXtn b6jZT2V3GJbe4QxyISRuUjBGRzS6DOcl8Yw3WnXhghnjeK2uZiyMoZERVKOMgj51dGXI I5Oc4xUd5rGsqdUConlW+pWsULLMA5VjBlMbcYYO2STxnFb0mh6ZI1y72q5urYWsxDEb ohuwvB4+8eRz+QqKPSdI1BxqcStIt0IpdyTuI5NpVkfaDtJ+VecZwMdOKYEmkajcX63U d3apbXNpN5MqRy+ahO1XBVsKSMOOoHOazofFe7W/sM1qgt3aVYrqF3kUtGCWDExhQcK3 Csx4NbkNrBbyzyxJte5cSSnJO5goXPtwoHHpVG28N6VaXv2yGCQSB3kUNcSMiM2dxVC2 1c7jnAHWkIxV8UXq3KaneWn2fTzpct3DDHP5kkoDR7dw2gK2GxgMR8x54pzeItS0681G TU7RFdUtEt7SCcyrvld1BLbARk4zhTgLxnpWjY+GtBSJprWEzwXNuYRuuZJYjC2DtQFi qqeOFAFSReFtIit7mDyZpVutnmtPdSyudnKEMzEqVPIIIweaq6t/Xf8AyFqVE8S3slvF ENJxqE1ybeOJ5WSFsJ5hcOyBiu3j7md3GO9LYXN1d+DLua9bM5F2rgNuC7ZJBtBwMgYw DgZxVxvDemvZi1cXTqsvmrI15MZVfGMiQtvHGRwehI70s+n22l+Gbqzs0KQx28u0M7Oe QScliSeSepoVgOhoorCvNfuLbxLb6Utkzxy4zKAe/f6CoSuUWfEtjean4cvrCxWE3FzC 0S+fIUQbuCSQrHgH059qoaloF1qiarJKlok1/pSWiDcXEcg80n5toO3LrzjJx0FW/FMt 5FoTfYLtrS4luIIVnVFYpvmRCcEEHhjWI3i+e3tdSurpkSawsFWW2JAVbre6YyecMQmC f4SD3pc1tBpdf63L194cup4dRMTW5lm1CC9hVydr+UsXyOccZMZ5AOMg4PSmweHLue4i u7+KyV31Q301ujGREAgMShSVG5shWyQO/pzn2HiC8bwxeSrqyajc6Hdg3VzEq4uYBh24 Xj/VsRx/ElX73xFLaW+vav5oNnZIsFqjYCyTAZLbvQs6p7FDTvb+vT/gCWv5D77wxJdG +2ra/wCk6na3S7h/yzi8nKnjr+7bA6cjpk0y+0LV1a5fT5ICk+om5eA3D2++MwqmPMVS yneu75Rz68ms6DXbyfwNrYj1z7TqOkeYPt9usf73CiRDjBXGCFPHY9K0bmDVL3xJNptv r97Zpa6dDIrRxwtvkZ5FLOGjOfuDgYo1S9f+A/0DfX+u36jdM8O6lpK6QYltJjaLcQzK 8z/LHLKrgqxUlioUDDYzn73rSPhDVYdNaxh+wTLeaVBp9zJLIwNv5YYFkG07x85IBK8g c88Rpq+tX0MV3fTaja2Ytdhn0m3SZWnWR0kYqVd9vyqVwMYJzXaWMyXNhbzxzi4SSJWW ZRgSAjO7Hv1ouw20MW48OzTNfuPs++51G1ukds5CReTkE46/u2x9R0ya6GiilcAooooA KKKKACiiigArLf8A5Dlx/wBe0P8A6FLWpWW//IcuP+vaH/0KWqQE9FFFAgooooAKKKKA CiiigAooooAbJIkIBldYw3ALHGaj+12w/wCXiL/vsVzHirWprO+kiUA+XGu3PuM1yLa5 qBYnzsZPoK5p4hQdj1sPlk60FO9j1X7Xbf8APxF/32KPtdt/z8Rf99ivK11zUCQvnjnj 7oro3jZ/Fq+HY7q9aZT+9uPsyLCo8svwd+Seg4GOevFEa/Nsh1suVG3PLv36fI7H7Xbf 8/EX/fYo+123/PxF/wB9iuL05ZNV/s6eDUZo7fULiSBFntFSQMsbPnAY8EIfT0PPFVNN 1OPVnumik1KG3tLSS6kkls4wXC44VVcsSQTwQOlX7SXYw+q0v59vJ6euh3/2u2/5+Iv+ +xR9rtv+fiL/AL7FeX/8JHJLdosf22G2wu9riCIOeTnaFds8epFb+1Ztf03SIr+6aa+t hdF/syBYoyrld3z5yShGADUqs27JGk8DGCTlK1/J9Pkdj9rtv+fiL/vsUfa7b/n4i/77 FcXpqSao2nXMGozx2+oXElui3FqEcMsbPnaGPBCH0x354qCw+1Xvgd/EX28oPKadYmjG di4ySc/Wn7SXYj6rR/5+fn/kd39rtv8An4i/77FH2u2/5+Iv++xXm2r393pt3a2yXTSP NYxXbEoABvLDHX/ZNEEut3OmTahA5kigfbKFHKjGc/SoeIs7WOiOWKUVNT0/pHpP2u2/ 5+Iv++xSG+tAyqbqEMxwB5gyTXlX9uX/APz2/SorrVruaFhJJ07ip+trsa/2NL+Y9hII 6gj60VkeFb2fUPDVlcXL75ChUsepwxAz+ArXrrTurnhzi4ScX0CiiimSFFFFABRRRQBy mnw6rpukapdxfaZJftd21vZGEAMzStsOcbsEkHOcYOelU9NtNa8LrdwppyS+fYK0X2Vm lD3SAIWclFwX3If+AMc10sev6bNfNZRzu0oZlB8l9jsudyq+NrMMHKgkjB44NKuv6U8L TJeo0a25uWZQTsjGfmbjjoeDzwfQ0raD3Zi+F9M1HQdUazuLWJba5tEYyW7tIDPHhXdy VXDOCp99hp+r6bdy+ILrU7SBjc2drbyWzYwJSrTb4s9PmVsexZT2FacfiXSZIbiUXLKt sV8xXhdGO44UqpALBjwpUHceBmlHiPSfsqXLXJjR5vICyxOjiTG7YUIDBscgEc8Y6imx LQ4yZ9YTTdPS1ttUs7qCwhkgCxXLrI/JZGVCI1IwAd4P3uBxz0k41n/hI/7OT7QbCeVb s3QPESKMNDn1LhT7qzjtV4+ILOFJ5J5BsSZYokhjkklcmNXx5YXduwScAHgZOOQCbxLp MNtDcNcO6zqzRrHBI7kKQG+RVLAqTggjI5z0NC0HuznYrTWk1qLxE2nIBLfsr4ZjcfZW AiVdmzgAqkh+bjninXzXxWMaoNYNkZL3iyWbzC/nHygfK+fbszj+E8Z7V0UniPSo5LdB ctKbiNZUMMLygI33XYqCEU9i2BwfQ06HXtNuNQNjHOxm3MisYnEbsudyrIRtZhg5AJIw fQ0W0sFzloBqFrJocZj1CR47S0j+yRpcQxxngSMXUeW2B1STpt4xmtnxelw1vYPA1zCI rre1zawGeS3/AHbgMIwDuBJCng8MenUXrzW4rLWrTTHikZrqGSQOkbsFKsigHCng7+pI xjnrVTRvFunalp8c00wt5vsguphIjoirgFirsAGCk4JBOO9OT5rsSViPwdLejT5LS9tJ rXyGUW6PGwUw7QFIY85JVmKt8y5wR0JyorTWk1qLxE2nIBLfsr4ZjcfZWAiVdmzgAqkh +bjniuq07V7PVPMFs0oeLG+OaB4XAPQ7XAODg4OMHB9KU6vp6zrA10glaf7OEPBMm3ft +u3mjqHQ5bTLi6utajeCXVZJ49Quo7oyCUWwt1aUKBkeWSDsxty3UdAapaZc6ldaKbvT pdYlmk0aRrl7hZdrXGxfL8oOME538x8HjOTiuo/4SHQLFI0jmVI5gZyYYHKKHY5kcquE DNuO5sA8nPWm32uadpFhe21iIzPptszC1RCFj2x71U4GFGMY/Skir6mfrFrLaXFpHc3G tTaeYZGd7R5mlNx8mzd5XzAY34HCZ6jpWZq03iAx2gKahFqUFhDIHhjnkjnm5LqRGREp GOS4bO7gcc9JqPia1s7qGyh3T3T3EMMirE5SPeyj5nA2q21sgEgnj1FXbTWLK+u5bW2e R3iyC3kuIyQcEK5G1iDwcE4NV/X9feR5GNGZT4nuRqH9red54+xCAS/ZvJ2L97b+7zu3 53/N0x/DWXaadrem6HajS2v/ALXNoj7o53ZljnVYxGArfKjcuMcZxznGa29T8RS2msXN jCkSpZ2f2qWSdZApyHwNyqQoGzJPPXABIq/Jr+lwzzwS3arJbLunG04iG3dljjA45561 K2KOXh+1DR77yL/WFhZoflksbwyIdx3gFyZSGGASh+XqOpro9AM1xoCLPBcW5O9VWaaR pCu4hW3OA4yMH5uRmorjxVZQiyZIbtkurhoDutJkdMRs+dhTcfugdO+e1bfWh6iPPbKK S20rSra6TX4rOC1aK4SAXPmC6URhR8vzFMb8Y/d569q7bSPth0ay/tH/AI/PIT7RnH+s 2jd04656cVcop3AKp6v/AMga9/695P8A0E1cqnq//IGvf+veT/0E0LcDZoorCvNF1Cfx Lb6jHf7LaPG6LnJx2HbBqUhmlqK2T2oGoMiwiWNgXfaN4dSnPrvC8d+lVG0fQ5tcmuTB E2osIZZgHO4hC3lsy5xwd2CR29hiLxfbXF54faC1WQytdWxBiTcygToS2MHoATzxxzWB rNjrtrqepzW1xe3Ie0s1adYQH8sTyeaqeWFJYIc4X5ueOcVN9R9DrJodOt7/AO0ShUuL 5Vtskn96FDsFx04Bc/nVfTNG0RNFsLbToIjp0BWe1EblkzncrZz83JzznnBrD02C6caW yy311BFqjuhubaeNoY/s0gwTMS5XcfvN3bA6Csu4utRkgitZ5db/ALTGi20ttHbLMMXR 80Zl2jaOQuRJheDnpxVrBa/9fI7TUNA03VBdC7gdvtkSQzmOZ4zIikkAlSO7N9QcHiq1 /wCHNElkiur0zqyRx22838yCRd3yK+HG/LNj5skk981iznVP+Egk8w6p9v8AtsH2YRCX 7J9lwnmbsfus/wCt+98+cY/hpdQ0y8udAurq7k1SaVNT8zyUkcFYEuwRsRcE/IuR1J7d qLaf1/X9MSN658MaTctGTDNCscSxCO2upYEKDopVGAIHoRWnFFHBEkMSLHHGoVEUYCgd ABXH2E1z/wAJZCYhq1zBIQF+0JdQpbw+Vxu3jy5CW7nD5bn7tT+M2vHntLa3F/CGjkZb m0W5kCyAqFVkhZeuScudowaTdgS1OsqK4uYbVFeeRY1Z1jUt3ZiFUfiSBXHXtvrV/p9x cyyanFdQaLBPClu7xg3eJSw2rjcchQUORyMjpUeqR3Vxr+y6i1aS5XU7VrVYkmNotuDG WZtv7vIIkJ3/ADA4xxiq5fes/wCtRN6X/rY7a4uIbS3kuLiVIYYlLySO2FVRySSegpgv bUrbsLmIrdECAhxiU7S3y+vygnjsKyfFUN9fW9np1larOLi5VrjzWKxiJDvIZgD94hVx g5BPvWbo0esWNvp2mTW8kIstSkibyAzRNbGGR4wGwMqu5EzgfMtSM6+iuGl+02Ph/QH1 K81kyX0qLfCMytN/qJGKhYxuX5gM7RnjJPGajP8AaAtrAaoddGmbbny/s3nm5z5g8jzP L/ef6vP3uM/f5xT6jasd7TIZoriFJoJElikUMjowZWB6EEdRXN6bZ6te3kQ1a4vojHpl sZFjk8tGuCZPMyV6kYXIBxyOOlT+CYRbeGLS1Md7HNbxpFOl2JAVkVQGC7+q8cFfl9KL COgrLf8A5Dlx/wBe0P8A6FLWpWW//IcuP+vaH/0KWmgJ6KKKBBRRRQAUUUUAFFFFABRR RQB5346nRNdliYHLRRkH8K5bev8AeH5167rmgaZr9sqXcJEyDCTL95f8RXM/8Kwsv+gl N/35H/xVcNTDylK6PocLmdKnSUJLVHErIoYHcOD61vJ4vMnjmfW7h9SOnQufs1n5wwR5 OzIj37MlixBPPPatj/hWFl/0Epv+/I/+Ko/4VhZf9BKb/vyP/iqIUasNgr43CV2ue+l/ xMXSPGEcMOj3uv219f6nYb8SQGM8OmDu3Oozk8EZ4yO9V9L8SRWEl3LLfeJrqWazkgSW d42aJ2K/MimcqCMZ7dK6L/hWFl/0Epv+/I/+Ko/4VhZf9BKb/vyP/iq05avkcrngruzf 3L/I4h7lLi5Li51W4wgHmalLubqeF/ePgfiOtblt4ntYPGFnqzW1ybex0uK1YDZuldRJ naN3T5x1x3rb/wCFYWX/AEEpv+/I/wDiqP8AhWFl/wBBKb/vyP8A4qoVKqm2dEsXhJQj B30v0turdF5mLpHjCOGHR73X7a+v9TsN+JIDGeHTB3bnUZyeCM8ZHejSvFGn2dpptlJp 1w1vY6Q1nLJtXzHZwhcIBLtwSgzuGcjg467X/CsLL/oJTf8Afkf/ABVH/CsLL/oJTf8A fkf/ABVWlW8jmcsC3e7OT1PV9Pv/ALJcPBqn2uDTIbVgsMPluyBjnJlyBlyOh6d61dF8 VDQNEu4LZBJeXEg2FvuoMfePr9K1/wDhWFl/0Epv+/I/+Ko/4VhZf9BKb/vyP/iqh0qn NzK1zoWKwqp+ybbj/TOI3g8s4JPU8Co55F8phuGSK7v/AIVhZf8AQSm/78j/AOKqzp/w 50m1ulmuppLtF5EbJtBPvg1msNO51PNqHLpc0fBaNH4SsA6lSVYjPcFiQa3Kc5T5Qi7V UYAAwBTa9CKskj5qpLnm5dwooopkBRRRQAUUUUAc7p/hZ9N1HzoZrJrdZpZohJZZnRn3 E/vN+MAuf4QccZ71Wm8K3Fjo2tJZXBuZtStJTPF5ar51yykb1OcIDnG05HA5HJNuy8QX F3q39k+TGt1byS/bAM4SIf6th7uGQj6P6VX0XVNSvobO2tEtoYl0y2uXaZpJWBfcNoyc n7nUnP1zwW0uPVD7jwpc6lDPJqeowy3kggETxWuyKPynLrlC7FssTn5hkdMdas2fh6SA 2rzTWgkguzct9ktPJV8xNHgguxzhupJ6Yql4a1e9FhosF/cwT/atNa4M3zBvkEQ5JY5P zsSfaqlz4w1FdPtr+1iglVLKG6vYBDyokz0kMigdDgBXPHTkU/QHpuaepeFfts8t1HdR LObwXUQmt/MjX9yIirLuG4EAnIIIJHpzasNDazns5mlgDW8M8bJb2/lIxkdGJC7jj7nq c5zml0h2bVNcDMSFvVCgnoPIiPH51z+mxXK3lneXEySS3GtXKMyBgSqLcAKcscgbRgDG Md+tA/M1LLw1e6U9u2n6pEmLWC2ufOtS/mCLOGTDjYSGPXcOnHHK6b4WbTdTE0c1m9sk 8k8avZfv1ZyxI83djGXb+HOOM9zkp4nv4tGSW1NnAlnpcF3JHcl5Xn3hsIrFwR9zG47i Sfbm41/qdjq+p3ET272a6pbwyRSKxkPmRwJ8rZwuC2cYOeenWnrcnc2r7Tri41Ozv7W6 SF7dXjkWSIuJI3KlgMMNrfIMHkdeDWfL4RiuNKtdOnu2aODTJLBmVMFgwjG8ZJxjy+nP X85vC8t/NZ3TXt1HOBeXCJtVgy4mcYJLHjAGBxgDHNZVnqmpB106xmtopJJr+4ae8RpF 2x3BUIAGX+8Oc8AdDnhFao2tE0ifTHmkuZLGSSVVXdaWXkZC5+9l2z1PoBz61U1Pwmmo Xt9dpevBJcQqIdqZEEykHzuvJ+SMY9E68ms+48X38ti17aiztkg06G+kiuAzvN5gYhEI ZcY243YOSegxz1yyxvI0ayKXTG5QeVz0yO1DXclPsc9deE3ZJLewvktbW6s47K5jaDzG MaBgNjbhtbDMMkMOnHHN6fQvOstathc7Rqu75tmfKzCsfrz93Pbritaii7BaHPT+G7t7 9mh1KKOxlvIryWB7YtIXTZwr7wAp2Kfuk9eal0zw/cWGsS3z3kPlMJMQW0DQqxdg25xv Kswx1Cr1PrW5RQBk6hof29tTP2ny/wC0LFbT7mfLx5nzdef9Z046deaV9FJt9ViE0THU X3Ymg8xF/dpHhlz8wOzJ6dce9atFA7nNw+Gb6C1jKarGLuG7+0xEwO0Ef7sxlBGZCQME nh+pz7V0g6c0UUhBRRRQAVT1f/kDXv8A17yf+gmrlU9X/wCQNe/9e8n/AKCaa3A2aKKK gZna/qM+kaFeajbwR3D2sRl8uSQoGA5PIB5xntUV54j0/SikWpzeTcCNZJVijklWMHI3 FgvCZU/M2Bxzipdf02bWNDu9NguUtnuozEZXiMgVTwflDLzjPf8AOq13oEt9FqPn3ieb qGnLZOyQkKrDzMuAWPB8z7ueMdTT0sBXXxTGuq6nHcbYLLTWWJnMMheRyqEbcLg5LhQo yxPTqKspr2hCP+0vNWJ5pBas0kDJKXUMwjZSAwPLEKR/Fx15Zd+GzcQ3oS88uW4vIbyF zHkRPGsYUEZ+YZj55HBxx1pLXw9OlxDd3d8k10L43kzRwbEc+SYQqqWJUBcHknJB9eBW Aln8V6LbTiGa7dGyqsTBJtRmUMqs23CkhhgEgknA54p6+JNNfTvt0ZupIhKYiiWUzSq4 6gxhd4/EenrUV14d+0/a/wDS9n2nULe9/wBXnb5XlfL15z5XXtu6HHNXUvCs120zwX8S ma++1NFcWxlhceSsex0DruA2hhz1xxxR0/ry/wCD9wFpvE9kdS0+1hEk0d/BJLHNHG7A bWRcEBTjlzknG3HPWmr4s0uG2tHvLlFkuLdJ2MCSSxRq3RmcL8iE5wz7c4PocQ2PhebS 00wWV9ChsvORwbX5HilkDsqqGGwjaADyB6VWPgy4jsvsdtqqRw3GnxWF7vttzSIgZd0Z 3jYxDsOQw6cccmgdDXm8R6Vb6iNPkuWE/mrEcQuUR2AKqzgbVJ3DGSM5wK1KxpvD/mi8 Autour6C7/1ednleV8vXnPlde27occ7NLoAUUUUARyW8MzxPLEjtC++NmUEo2CuR6HDE fQmpKKKACiiigArLf/kOXH/XtD/6FLWpWW//ACHLj/r2h/8AQpapAT0UUUCCiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKAI1t4VnedYYxLIoV5Ao3MBnAJ7gZP5mmw2ltbY8i3iiwixjYgXCLnavHYZOB2yamop gZzeH9FdPLbSLEp5xn2m2THmHq/T73v1pZNB0aZ4Xl0mxkaCPyoi1uhMaf3V44HsK0KK QDEhijeR440RpW3OVUAucAZPqcAD8BTBaWy7MW8Q2SNIuEHyu2dzD0J3Nk98n1qaigDD 1XwpZas9sJJGht7ePylt4oYduzuAxQsgIwPlYcCtZrS2bfut4j5jrI+UHzOuNrH1I2rg 9sD0qaimBBDY2dtcT3MFrDFPcEGaRIwrSEdNxHJx71DdaNpd9AsF3ptpcRLIZBHLArKH JJLYI6kk5Puau0UgMXWvDFtrlxDJczyJHEmzykiiIZT1G5kLrkcHaw4rWSCGOaSZIkWW XHmOFAZ8dMnvipKKACiiigAooooAKKKKACiiigAooooAKp6v/wAga9/695P/AEE1cqnq /wDyBr3/AK95P/QTTW4GzWFeXutx+Jbe2t7TfYNjfJt4A7knsfat2ipTsMwPG8kkXheV ojPuNxbqRbyGORgZkBVWBGCQSOo69aztMS+06e0S5gvIre51RhawXl40ssMf2ZydzB2D ZZWIVmYAEHggY6TVrnT7PTZbrVDGLSDEjmRN4BBBXAwcndjGOc4xzWf/AMJJo9xHcyzR yrLpkP2t4ri1eOVEKt86hgDyNwyPcH0pJDMmPxTrEOmDULuOxdLnR5dRgjiR1MbRqh2s Sx3A7xyAMY79aluvEerafLdWc5sJrgm18iaNHWOLz5TGBICxLbcZyCu7OPl61u3ujWN/ pclh5KQRyWr2qNEihoo3ABC8YHQcdOBxxUUOm6DYr/YkGnWcMd5G8jW0dsqpKq7VYsAN p+8o5659qelw0a0MyHV7uW+trS9EEtxb6q1q81uXjR/9GaUNs3H1ClWLDIz1xjMvPEGu z+HJp5JLSH7fok17btbo6vbsipkFt3zE+ZkEbcEd67G20zT7OCG3tbG2ght2LQxxxKqx sQQSoA4OGPT1PrUU402yksbdrWJfNLWluFiGFGwsUHouI+nTgUArDZb9tM0GXUNRmil+ zwtLI8KFVYAE8AknOPfk1x+jeIrzQ9O1dr9b65uI7L+01S7SSLL4xLGhcD5FYKeMgB67 eDTNPtrJbG3sreK1Q5WBIlEYOd3CgY68/WpXt4JZVleGN5EVlV2UEgHGQD6HAz9BS6i7 HNDXPEFrYXD3draySiS2W3k2+Uj+bKEIKh5CNuQd2ec9ODS32rXenXl6kskC3gtrVY5F jkkR3kllVVEW8DsOcjOeTgDGzaaDo2nxPFZaTZW0burssNuiBmU5UkAckHkelTXWm2F8 kqXdlb3CzKqSiWJWDqpJUHI5AJJHpmnoCOas9YvtTl0oX0XkXNvrEltMEwqvi2kYHAdg Oo43Ngj16dfVW30vT7OOOO2sLaBIm3xrHCqhG27cgAcHbxn04q1QwCiiikAUUUUAFZb/ APIcuP8Ar2h/9ClrUrLf/kOXH/XtD/6FLVICeiiigQUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBxa+LdYPj86CdOT 7GP+XnZLtxk99mM9uu3I69qxJ/ihqFlf+IrS8gt4RaGZdNnaNgkrxnmNiT8zYKnjH6iv TsDOcc+tcrqPgTQL/T7zSruab/iY3r3wJkUSJIcZ8vjpgY5B4JpWdrFaEl14802xuZYZ 7e8eK18tby7ihzDbs4GAxzk9R0BxkU7SfE91f+M9Y0SSycW9l5QimWPH3kJJc7uhx8uB Ueo+B9Iu7uaSe+vIbe+eL7TaLMqxXLp93IIzngZ2kZxWlD4ct7bxJPrkF1dRS3SKs8Cs vlS7VKqSCM5APYiqJ6Eep+KbXTdT/s2Ozvr+6WITSx2cO8xRkkbjkj0PAyT6UweMdKaF Jf3+19S/s0fu/wDltnHr0460an4YtdR1RtTh1O+066MPkTSWcyr5iA5AYMDgjnBGCM9a z/8AhBdHbVfNTVL4YvhqQs1nTyxKDy23bnBPv9MULz/r+kD/AK/r1LM/jzSbcXzPBqBj sJGinlW0YoGDhMBuhOWHA5qC9+I2j2LBJba/EgiM0sbwiJ4ow23eVkKk5xwBk47VoS+E 7CXSb7TWmuBDf3Zu5GDLuDlw+Bx0yo7H60mq+ErTUtVGqR3l3Y3hh8l5bZk/eJnIBDqw 4PcDNIZTvviFo1iZSYL6eGDyTNPDbkxxLKAUYkkccjjrz0qpP4yv/wC1PFFilmyrpVsJ LabyuA3lM+XJbkEgYwK0rrwTpt3Y6laS3F3s1IQCZvMXcPKAC4JXvtGc5/Cn3Pg+zuNT 1C+F5ew/2lb+RdQxuvlyAIUDYKkggHsce1D8hxtpcgj8a6daWI/tOR47iLTY76U7MCRG ABKc8ndxj3rU1HXbPSdGGq3olihITCeWWkLNgKu0Z5yQMVz2ueD7XWdZ8PQK9u8Gi8zh 5czMgC7F2gYIJUZzj2610euaPZ67pUthfF1ichg8b7HjYHKsp7EECm+rRK6IypfG8EJg hfRdX+3Ts+yy+zr5pVQCXzu27eRzu68dQcOfxzpP2KwuraK8vBqKSPbx28BZ28v7wI4w R05496iufB1uTDdz+IdVW8ty5S9aeMOEZQGTGzbt+UHp15zVqw8J6VZx6UbN5RHpsUqw YkDBxIPmZjjknrxjrS6AQaR470rWr2ytbe3vo/t0DTW8s0GxH2/eUHPJHtx70uneOdM1 O+sraK2vol1BXNtPNBtjlZM7lBznOAT0x71Jp3gzTtMbSGgmuWOjxSxQb3U7hJ13YXk+ mMVmeGvAK6db2Eur3txd3NlHKkUPmgwQ7ydxT5Q2cHuTjP0pvyBbajrv4iWiRajBBZXU V/a2clzFFMiMJAo6kI5Ix1IO04qbSvEt1qZ8PSSu1m+oW7ySW7WuRMRGrEq275VBbjIO fam6f8OdKsCoN7f3EUdpJaJFK8YVY5PvD5UBz7k1e03wja6c2mt9vvrk6WkkduZ3Q4Rl VdpwoyAFGPx60l/X4jZmeFvHA1G30u11KC5jvNQjkMdwYNkErITlVOc52jPTB9abYePo bbw5pVzqgafUNQSR1igCJkIxycuyqABjvk9qu6T4D0/SbyzuPt2oXY09ZBaRXMiFIS/3 iAqjJ69c0reA9NFnp0MF1eW82mK629yjoZNrnLAgqVIP+7Qw0NrSdVtNb0u31Kxcvb3C 7kJGD6YI+oq5VbT7IafYx2onln8sH95MQXYk5JOAB37AVZpsSCqer/8AIGvf+veT/wBB NXKp6v8A8ga9/wCveT/0E0LcDZoorGuvElta69DpDxOZJcAOOgJ6VKTYyTxFYXGoaUEt USSaG4huFikbCyeXIr7c9s7eD64rE1Sx1XxAt/df2TJYldJubOGGeWMyTyS7T/AzKqjY ACT1Y8DHOx4p1O50jQJby0aNZlliQNJEZFUPIqE7QQWwGJwDVG3124sVMup6jHdRrbXF ywg054Dti8vP35Ccjce3OR0xyv6/Aa3TMltAnltdRaDw/d6fa3C24axiktzJPIrszuyl zGwYFVbc2WAOe2ZrXQ7uKXRryfw7bM1ulxCIYUiT7NukRonKlyBgKchGOCflBrZuPFUE EttB/Zt81xdBmigKxo5RduXw7jj5h8v3v9mptL1e5vtX1SylspI4rOcRxzYUKR5cbYPz E5y5PQDGO9FhHI6Z4b11La/+zWT6RPd6bJFIoMEURucrhk8klgOXAZiW+nfYtNIb/QDp 3h06GkN4ZJEJhH/LCVN+I2IPzMo9T3GBVm51zU4dbbQlgQ3c8qy2s3lsYvs3HmM3P3l5 XGeSyHoTia08Yabe6uunxJL+8lkhinJTZJIm7coAbeMbG5ZQDt4JyMvdBs2c5o/hq9tL C5im03UoLttPe3uZ7ea2T7XIduXVgdzPwxVpMY3HPU10XhGxuLDT7iKbTIdOiM+YIUij jYrtXJdY2ZASc/dPIxwDTLbxrpszagkkU1vLp9u1xLEzxSMY1zkjy3bB46Ng+1bNld/b YPO+zTwAn5VnTaxGOuM5H44PtRdvURZooopDCiiigAooooAKKKKACst/+Q5cf9e0P/oU talZb/8AIcuP+vaH/wBClqkBPRRRQIKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA8yvPHHiTTtUvrWS3E8Wh3DS6hI IxmW1Zl8sJ/tYYk9B8vXrWhp9/qeoXXhafUUtvteoQXcyyG2UvApUFApIyPlIz69672i jpYZ45oLSyeENAsotTQ3lvriI0TwjNoxab7y8E564JrvvBOpajf2epwandC7m0/UZbVZ /LCGRVxgkLxnntXS0U7/ANfd/kD1/r1/zPF/7G1+6uPFx0uVF0+/vrmG9c4zAIzvyBn5 twZl49a1fDmoXdhpUEmn2NvPdweGBND+4BkdvMbC7h8xXjO3Nep0VKVv68mDd3f+tzzi 38UajPZ2I03xVb6hc3t3bxy77JcWvmLISuBjIyo4J3DHJ5qvq3irxDpepX1tJq6G/sXt 47TTxZAf2iGxufu3JLfdPG2vT6TAznFV1Eee3/ivVIPHqad/aINu91FBFaWiRyOAQC5l VgHAxn5lOAMdehht/F2tP4jjgOoB7l9Xa0l0b7MB5NuP+Wu7G7pht2dvPSvSMDOcc0YG c45pLSwM8Zv9Knfwl42v/tAknXVXjkcWyF2RZEJ+bGcd8dBtr0wWtr4k8IPaNfLfwXsD R/aVUANnIBAHHB/lW3RRb3bDvrc8g0e4vNct7u61G0Unwro81psuEDq9zhgxweGG1ACD 61f1rxZqWkf2ZFbX0Vtb/YIGFpZRRGZpHwBiJx8ydsIQRzyK9QpMDOcU/wCvz/zF6f1t /kea/wBpPofjjxbcXGoyRSNaxTwwLbqXmVYm5UHrs/pzUvhjx26XGqvrGrLd6da28M6z hVd0LnbtPlKAeccAHHrXo1HSkNiA5AI70tFFAgooooAKKKKACqer/wDIGvf+veT/ANBN XKp6v/yBr3/r3k/9BNNbgbNRNbwNOs7QxmVRhZCo3AexqWioGVNT0+HU7P7NcM6xiWOX KEA5R1cde2VGfaq+o6PZ60GeSaTD2k1oTEwxsl27j0PI2DH48Gq3jCCC48Nzx3V7DZw7 42aW4QtEQHU7ZACPkbG08gYJrBsdat7PTdRvNOtNMtYobm2M17priS2ljMgVyTtADKmd 3XAI544EPVWOh17QINciS1utQnggdTE8CCIrMCOQd6MQcA8qQev4WbXSEs9TuL2G6uAl yB5lsSpjLhVUP03Z2qB97HtnmuS1TX7fUJ4rn+24LWyt9aEUN+pj2RqbInIZsqcs5wTk cjrUV34ovrfS7KebW0SLNwVeIwx3F8qSbYmRJF2OGXkhdpJKlcA4oBr+v69Dt5NOhk1e DUyz+dBBJAqgjaVdkJzx1yg7+tULXw5DY3bvDqN4trI8j/Ycx+UGfJbB2b8ZJON2Bn04 rOg1l5vE9xbXeuCwkinWO20xkjBuYzGrb8MN5ySwypAG3BHBpmn3d/PY+Gr6+uY7qW/l VyDboBFm2lb5O4PQE59egOKfQRbtfBVpb2T2kmo31xEbF7CMSGMeVCwUELtQc/KOTk+u a6FcD5AeQOlebDW73XfDt1HBrf8AabXehzS3cMMUZ+xyhF2oNoyC2XG1sk7cjGK0bjW3 iS6uNO1SG5iNtZh9UWOJmjjaeVXcso2kIucZGFIJI65NWNq39eh3VFcba6tqF7FBa2mt GeCbU2tYtTSKNmmi+ztISMLsJDgruC4+Xoec7vh65ubnRybybz5oZ54DKVCmQRysgYgc ZIUZwAM9hSashGmsiMcK6k+gNOrzrw9pz6R4L07VLK10q1vLmO1iW6isQJcSSorb2z83 B56c1c1/WdW0zV2sW1y3svKtkltpLx44lvJCz7lbMZ3BcINqFW+bOTkU7A9DuaK4mfX9 S/4S2W0fVbSyMV3FFDYzyon2mFghZwpQu7Es4BVgAVAI4Oe2pdLgFFFFABWW/wDyHLj/ AK9of/Qpa1Ky3/5Dlx/17Q/+hS1SAnooooEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVT1f8A5A17/wBe8n/oJq5VPV/+QNe/ 9e8n/oJprcDZqtJqNnFeJZvcIs7/AHYyeTVmsu48PWFzrMWqyK/2iLBADfKSOhIqVbqM satqdvo+my31yHZI8AJGu55GYhVVR3JJAH1qva6yzLO2pabPpUUEQlaW6ki8vb3+ZWIG Mc5x+NP1zTpdT07ybeZYp45o54mddy743DgMPQkYP1rNv7HX9Z05o7y3023khnhnhiju HlSVo5A+HYxrtB2gcKcdeelIDWGs6UdOXUBqVmbJgdtx56+WcZz82ccYP5Gi31jS7y4W 3ttRtJ5miEyxxzqzGM9HABzt9+lY9t4fvZLqK9vEs45G1Q300ETF0QfZzEArFRubO1iS B1PpyWHhqey+wHNuGtdQu7qQpn5kl83aBx1+dM/7vfApgzYh1nSrhp1g1Kzla2QPOEnU +UpGQWweBjnJqtceJ9Fi0sakmo21xaNOkHmwTIyhmYL1zjjOTz0BrmtF0LXrjQLGXy7P S7i20hra1KlmdnkCHdIrINmNgyvzck+nNmHwtqn2fUZWW2juLmS1mjhe9luFLwybvmkd cjcAo4GB6eqsPqacetaVolnZ2sflw6eki2sVw1yhjVBAZA5bcTjC4+bB79CCb6axay3t pbwOk0V3bSXEc8bhkKoUHUdc+YOfasW40PVzOL+O30+S4/tJL028lw4jwLUQkb/LJyG5 B29AOnaCXwbeXWmvay3FvA1za30cvlZKxvcSK4C8DcowQTwT6DPD6hZHT2Gp6fqkLTad fW15EjbGe3lWRQfTIPWpftMG4L58e4v5YG8ZLYzt+uOcVkeH9MvLS4ubq/tLeCeaOOMt DfS3G8Juxneq7QNxwBnr1rP1bwpfXep319ZXUMTELc2SvnCXgAUu2B90oiLx2Z6TEjWv /EdhpqtLcuogBhUTCWPaTJIUH8WRgjJJ4xnGSCAWviXSrrUJbH7ZbJMJRHArTrm4zGkm 5BnJGHHT0rLm8KXEVu0Vk1uwitbGOBZmI3NbytIdxAOA2QMjPU8eszeHru4jvJZo7SO4 utQtbvCsWCCLydy7toJ/1b447jpk4dlcZ0dLRRSEFFFFABWW/wDyHLj/AK9of/Qpa1Ky 3/5Dlx/17Q/+hS1SAnooooEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAVT1f8A5A17/wBe8n/oJq5VPV/+QNe/9e8n/oJprcDZ oooqBmN4slvodAk/s27+x3ck8EUc+wPsLyomcHg8Ma5qbxRq0149zJ51lZx6VdmS3RVE n2iHZvZWYEYUsVBxglScEYrs9TFh9heTUnjjtYWSZnkfYqFGDKScjoQDWdNN4a16J7l7 q1uURGsndZ8bRMVUocHgsdoHfpjrQNNdR1trV5e6pPBaaeklnaTCCe4kuNrh9isdqbSG ADLyWB64BxzUi8U31zYadPBo6CbVSv2SOa6CgjYzszsqnaAq8YBJyOBzjTOgacdT/tER ypOSGYR3EiRuwGAzRhtrHGBkgngegom0DTZ9NttOaF0gtAv2cxTPG8W0bRtdSGBxkZzy CQetMRk3PjGWG0tpv7OjiLmZbh7m4McEDRPsdfNCMMk5K7goIBOR0qeTxPMt/MI9PV9P t7uKzmuPtGJBK+zBWPbgqDIgJ3A9cA45kk8PaFcbNL2zL9lhy0EV3KgZHY/6wKw8zcVb O7Oec9TU0+haKNUivZo9lxJKpSP7Q6xyyKvynyt2xnCrwSCQFHoMCtcDnrTU/EQube4C pKbvVri2Mb3fyeXGJ9qgeX8uPLHIyTjnrWv4uur2CPS4bO4uoGur4RSG0WNpSvlyNhfM BXqo/AGr9xoGm3NmLV4XWNZ2uFMUzxusjMzMwdSGGSzdD0JHSpr6GxY2097tBtZDLCWc jDhGBI9flLcc0h9fvOcW+vLC7mhnvtRmVY7Ajz/KWUNJcuhztXbgjaDgZwOCDzV618S3 F1fW6/2eiWN3cS29vP8AaMyM0YcklNuAp8tsfMT0yB0rTl03Tr+V7l41ldzGrMsh6xSF 0HB/hcn+RrJtfCbQeJf7Ve4t1hSWSWKCCGRTucEHcTIy/wARJ2quTyfd6CfkZMPifW4v CAaW1RLp9Ee8trr7QHMjIibmdSmFOXBA+YHviuztHuJLVHuoo4pj95I5C4HpzgfyqsNC 0wW8Nv8AZVMUFq1pGjMxAhYKGU5POdi8nnirFjZQ6faJawGUxx/dM0zyt1zyzkk/iaGN liiiikIKKKKACst/+Q5cf9e0P/oUtalZb/8AIcuP+vaH/wBClqkBPRRRQIKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqnq/wDy Br3/AK95P/QTVyqer/8AIGvf+veT/wBBNNbgbNFFFQMyPFFtDdaHIk32sKksUqvZw+bI jI6srBMHcAQCRg8Z4rHgvdau7S4kCSuou7QQ3K2MlrLInnL5itG3zYVc5bABDHjjNdfR QtAOL/s3Uri8s5ZbjV1F1qV1BdKtxIirbAzGPAHCDKx4cYPIAODU1nealpf9mm9j1KaB VvLdtsMkzsRMogL4BPKKfnPHOSea66in0sHW5wWdVj0o3VxZ6hJNNpWnxzuomWVW8yTz D+7+csobJVefpmo4re9fTbGbUjq09vZaq5SSKK5SbyGgYKdmWlOHfGSScZzjkD0Gii+t wev9eVji9KOpf27D5h1b7b9ruPt3miX7L9n+fytmf3ef9VjZ833t38VWbfwwNd8GW9nr dxeyyXcEb3KXJyd+3pgj5cMc/Lg5UZPXPV0UPVAVNL06HSNNh0+2LGCBdsYYAbVzwvAH QcevHJJyat0UUtwCiiigAooooAKKKKACst/+Q5cf9e0P/oUtalZb/wDIcuP+vaH/ANCl qkBPRRRQIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigApk0STwvDKu5JFKsM4yDwafRTAq/2fF/z2vP/AAMl/wDiqP7Pi/57Xn/g ZL/8VVqii7Aq/wBnxf8APa8/8DJf/iqP7Pi/57Xn/gZL/wDFVaoouwKv9nxf89rz/wAD Jf8A4qj+z4v+e15/4GS//FVaoouwKv8AZ8X/AD2vP/AyX/4qj+z4v+e15/4GS/8AxVWq KLsCr/Z8X/Pa8/8AAyX/AOKo/s+L/ntef+Bkv/xVWqKLsCr/AGfF/wA9rz/wMl/+Ko/s +L/ntef+Bkv/AMVVqii7Aq/2fF/z2vP/AAMl/wDiqP7Pi/57Xn/gZL/8VVqii7Aq/wBn xf8APa8/8DJf/iqP7Pi/57Xn/gZL/wDFVaoouwKv9nxf89rz/wADJf8A4qj+z4v+e15/ 4GS//FVaoouwKv8AZ8X/AD2vP/AyX/4qnwWkVvI8iGRncAM0krSHAzgZYn1P51PRRcAo oopAf//Z --============_-1029087665==_mr============--