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• Remote Sensing, Vol. 3, Pages 1943-1956: A Multi-Resolution Multi-Temporal Technique for Detecting and Mapping Deforestation in the Brazilian Amazon Rainforest
• Fruity Dessert Pizza
• Frantic Frigates
• Symmetry, Vol. 3, Pages 611-635: Symmetry, Invariance and Ontology in Physics and Statistics
• Navy vs Army
• Feed Us
• Michelle Saves The World
• Powerball Winning Numbers for 08/31/2011
• Powerball Estimated Jackpot for 09/03/2011
• Mega Millions Winning Numbers for 08/30/2011
• Mega Millions Estimated Jackpot for 09/02/2011
• Lotto Texas Winning Numbers for 08/31/2011
• Lotto Texas Estimated Jackpot for 09/03/2011
• Texas Two Step Winning Numbers for 08/29/2011
• Texas Two Step Advertised Jackpot for 09/01/2011
• Pick 3 Day Winning Numbers for 08/31/2011
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• Daily 4 Day Winning Numbers for 08/31/2011
• Daily 4 Night Winning Numbers for 08/31/2011
• SpamSieve 2.8.7 - Robust spam filter for major email clients.. (Demo)

Remote Sensing, Vol. 3, Pages 1943-1956: A Multi-Resolution Multi-Temporal Technique for Detecting and Mapping Deforestation in the Brazilian Amazon Rainforest Posted: 01 Sep 2011 12:00 AM PDT The analysis of rapid environment changes requires orbital sensors with high frequency of data acquisition to minimize cloud interference in the study of dynamic processes such as Amazon tropical deforestation. Moreover, a medium to high spatial resolution data is required due to the nature and complexity of variables involved in the process. In this paper we describe a multiresolution multitemporal technique to simulate Landsat 7 Enhanced Thematic Mapper Plus (ETM+) image using Terra Moderate Resolution Imaging Spectroradiometer (MODIS). The proposed method preserves the spectral resolution and increases the spatial resolution for mapping Amazon Rainfores deforestation using low computational resources. To evaluate this technique, sample images were acquired in the Amazon rainforest border (MODIS tile H12-V10 and ETM+/Landsat 7 path 227 row 68) for 17 July 2002 and 05 October 2002. The MODIS-based simulated ETM+ and the corresponding original ETM+ images were compared through a linear regression method. Additionally, the bootstrap technique was used to calculate the confidence interval for the model to estimate and to perform a sensibility analysis. Moreover, a Linear Spectral Mixing Model, which is the technique used for deforestation mapping in Program for Deforestation Assessment in the Brazilian Legal Amazonia (PRODES) developed by National Institute for Space Research (INPE), was applied to analyze the differences in deforestation estimates. The results showed high correlations, with values between 0.70 and 0.94 (p < 0.05, student's t test) for all ETM+ bands, indicating a good assessment between simulated and observed data (p < 0.05, Z-test). Moreover, simulated image showed a good agreement with a reference image, originating commission errors of 1% of total area estimated as deforestation in a sample area test. Furthermore, approximately 6% or 70 km² of deforestation areas were missing in simulated image classification. Therefore, the use of Landsat simulated image provides better deforestation estimation than MODIS alone.

Fruity Dessert Pizza Posted: 02 Sep 2011 10:01 PM PDT Create and design the Pizza of your dreams. Add anything you dream of and let your imagination explode!

Frantic Frigates Posted: 02 Sep 2011 10:16 PM PDT All alone in the open sea, against deadly sharks and blood-thirsty pirates. Survival is not easy!

Symmetry, Vol. 3, Pages 611-635: Symmetry, Invariance and Ontology in Physics and Statistics Posted: 01 Sep 2011 12:00 AM PDT This paper has three main objectives: (a) Discuss the formal analogy between some important symmetry-invariance arguments used in physics, probability and statistics. Specifically, we will focus on Noether's theorem in physics, the maximum entropy principle in probability theory, and de Finetti-type theorems in Bayesian statistics; (b) Discuss the epistemological and ontological implications of these theorems, as they are interpreted in physics and statistics. Specifically, we will focus on the positivist (in physics) or subjective (in statistics) interpretations vs. objective interpretations that are suggested by symmetry and invariance arguments; (c) Introduce the cognitive constructivism epistemological framework as a solution that overcomes the realism-subjectivism dilemma and its pitfalls. The work of the physicist and philosopher Max Born will be particularly important in our discussion.

Navy vs Army Posted: 01 Sep 2011 10:00 PM PDT Navy or Army, who shall win the ultimate battle? Choose your side and throw grenades at the opposing side.

Feed Us Posted: 01 Sep 2011 01:41 AM PDT Become a deadly Piranah and Try eating as many humans possible! Upgrade your devoted army and rule the sea.

Michelle Saves The World Posted: 01 Sep 2011 01:38 AM PDT Michelle has a wonderful hobby, she loves to save the world! Control a lovely flying balloon and shoot her nemesis.

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SpamSieve 2.8.7 - Robust spam filter for major email clients.. (Demo) Posted: 31 Aug 2011 08:59 PM PDT SpamSieve gives you back your inbox by bringing powerful Bayesian spam filtering to popular e-mail clients. It learns what your spam looks like, so it can block nearly all of it. It looks at your address book and learns what your good messages look like, so it won't confuse them with spam. Other spam filters get worse over time as spammers adapt to their rules; SpamSieve actually gets better over time as you train it with more messages. SpamSieve doesn't delete any messages--it only marks them in your e-mail client--so you'll never lose any mail. SpamSieve works with any number of mail accounts, of whatever types are supported by your e-mail software (e.g. POP, IMAP, Hotmail, AOL). Version 2.8.7: Improved compatibility with pre-release versions of Mac OS X. Made various changes to improve SpamSieve's filtering accuracy. SpamSieve now runs as a 64-bit application on Mac OS X 10.7 Lion. This allows for faster launch times and reduced overall system memory use if you are running exclusively 64-bit applications. It also prevents problems caused by buggy input manager haxies. You can use the Finder's Get Info window to set SpamSieve to run in 32-bit mode if you want to play classic Mac OS notification sounds or to reduce the memory use of SpamSieve itself. When training an Apple Mail message in the Spam mailbox as good, SpamSieve is now better able to match it up with the proper inbox. Offloaded more PDF processing to the helper tool so that SpamSieve itself doesn't crash if you receive a message with a corrupt PDF attachment. Made the Apple Mail plug-in installer more robust and better at reporting errors. An error finding the built-in copy of SpamSieve's Eudora plug-in will no longer prevent SpamSieve from launching, unless it actually needs to install the plug-in. Entourage is supposed to create the Entourage Script Menu Items folder, but for extra robustness SpamSieve will now create it if it's missing. If SpamSieve's PDF reader detects that the CTLoader input manager is loaded, it now logs a warning that this may cause SpamSieve to hang. Tried to work around an unconfirmed issue that could prevent SpamSieve from processing the first few Apple Mail messages on Mac OS X 10.7 Lion. Fixed a bug with re-personalizing the application via URL. Clarified the Do an Initial Training section of the manual. Updated the Import Addresses… instructions for Microsoft Outlook. The Setting Up a Spam Filtering Drone section of the manual now includes instructions for setting up a drone for multiple mail accounts. The manual now explains how to open the Library folder on Mac OS X 10.7 Lion. Mac OS X 10.4 or later Works with: Apple Mail Emailer Entourage Outlook 2011 Outlook Express Eudora 5.2 or 6.x (Sponsored or Paid) MailForge MailMate Mailsmith GyazMail 1.2 Postbox 2.0 PowerMail and Thunderbird 2. Download Now This posting includes an audio/video/photo media file: Download Now

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