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	<title>FUTUREPREDICTIONS.COM Source of Likely and Preferable Futures ™</title>
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	<description>FUTUREPREDICTIONS.COM MISSION IS TO ORGANIZE THE WORLD&#039;S FUTURISTS, FUTUROLOGISTS, PREDICTIONS, INNOVATIONS, AND FORECASTS TO MAKE THEM EASILY ACCESSIBLE.</description>
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		<title>Future Predictions: As Seen by the 100 Predictions of Marcel Bullinga</title>
		<link>http://futurepredictions.com/2012/01/future-predictions-as-seen-by-the-100-predictions-of-marcel-bullinga/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=future-predictions-as-seen-by-the-100-predictions-of-marcel-bullinga</link>
		<comments>http://futurepredictions.com/2012/01/future-predictions-as-seen-by-the-100-predictions-of-marcel-bullinga/#comments</comments>
		<pubDate>Thu, 26 Jan 2012 18:28:37 +0000</pubDate>
		<dc:creator>futurepredictions</dc:creator>
				<category><![CDATA[Future Predictions]]></category>

		<guid isPermaLink="false">http://futurepredictions.com/?p=11535</guid>
		<description><![CDATA[Over 15 years Marcel has given presentations to hundreds of prestigious clients in government and industry. Ranging from central government to local councils and the EU, multinational corporations and research institutes. &#8220;Marcel&#8217;s pitch in a single word: inspirational!&#8221; &#8220;A high-energy speaker and writer.&#8221; &#8220;I have never before seen an approach like his.&#8221; &#8220;Charismatic chairman with [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://futurepredictions.com/wp-content/uploads/2012/01/320.jpg"><img src="http://futurepredictions.com/wp-content/uploads/2012/01/320.jpg" alt="" title="420" width="260" height="320" class="aligncenter size-full wp-image-11540" /></a><br />
<strong>Over 15 years Marcel has given presentations to hundreds of prestigious clients in government and industry. Ranging from central government to local councils and the EU, multinational corporations and research institutes. &#8220;Marcel&#8217;s pitch in a single word: inspirational!&#8221; &#8220;A high-energy speaker and writer.&#8221; &#8220;I have never before seen an approach like his.&#8221; &#8220;Charismatic chairman with precision timing and a fine sense of humor.&#8221;</strong><br />
<strong></p>
<p> READ THE 100 PREDICTIONS (pdf&#8217;s)<br />
Download the <a href="http://www.futurecheck.com/images/stories/futurecloud-marcelbullinga-freebook-predictions-x-top10-general.pdf" target="_blank">TOP 10 PREDICTIONS</a> More than 300 people voted!</strong></p>
<h3>Download specific predictions (pdf):</h3>
<p><strong>1 <a href="http://www.futurecheck.com/images/stories/futurecloud-marcelbullinga-freebook-predictions-media.pdf" target="_blank">Media</a> | 2 <a href="http://www.futurecheck.com/images/stories/futurecloud-marcelbullinga-freebook-predictions-mobile.pdf" target="_blank">Mobile</a> | 3 <a href="http://www.futurecheck.com/images/stories/futurecloud-marcelbullinga-freebook-predictions-work.pdf" target="_blank">Work</a> | 4 <a href="http://www.futurecheck.com/images/stories/futurecloud-marcelbullinga-freebook-predictions-education.pdf" target="_blank">Education</a> | 5 <a href="http://www.futurecheck.com/images/stories/futurecloud-marcelbullinga-freebook-predictions-healthcare.pdf" target="_blank">Health</a> | 6 <a href="http://www.futurecheck.com/images/stories/futurecloud-marcelbullinga-freebook-predictions-money.pdf" target="_blank">Money</a> | 7 <a href="http://www.futurecheck.com/images/stories/futurecloud-marcelbullinga-freebook-predictions-community.pdf" target="_blank">Government &#038; Law</a> | 8 <a href="http://www.futurecheck.com/images/stories/futurecloud-marcelbullinga-freebook-predictions-community.pdf" target="_blank">Community &#038; Childen</a> | 9 <a href="http://www.futurecheck.com/images/stories/futurecloud-marcelbullinga-freebook-predictions-energy-and-city.pdf" target="_blank">Energy &#038; the City</a> | 10 <a href="http://www.futurecheck.com/images/stories/futurecloud-marcelbullinga-freebook-predictions-selfcontrol.pdf" target="_blank">You are in Control </a><br />
</strong></p>
<h2>So, how is life in 2020? The future of Europe</h2>
<p><iframe width="625" height="315" src="http://www.youtube.com/embed/_CLbWyAC3Xc" frameborder="0" allowfullscreen></iframe></p>
<p><strong><a href="http://www.futurecheck.com/" target="_blank">About Futurist Marcel Bullinga</a></p>
<p>Futurist Marcel Bullinga is a Keynote Speaker about the future. In his high-speed, visuals-only performance, he blends trends with the audience. Strictly interactive, strictly dynamic!</strong></p>
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		</item>
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		<title>Future Predictions: Robots in the Sky as the USA Leads in Stealth Unmanned Attacks</title>
		<link>http://futurepredictions.com/2012/01/future-predictions-robots-in-the-sky-as-the-usa-leads-in-stealth-unmanned-attacks/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=future-predictions-robots-in-the-sky-as-the-usa-leads-in-stealth-unmanned-attacks</link>
		<comments>http://futurepredictions.com/2012/01/future-predictions-robots-in-the-sky-as-the-usa-leads-in-stealth-unmanned-attacks/#comments</comments>
		<pubDate>Thu, 26 Jan 2012 16:36:37 +0000</pubDate>
		<dc:creator>futurepredictions</dc:creator>
				<category><![CDATA[Future Predictions]]></category>
		<category><![CDATA[Robot]]></category>
		<category><![CDATA[Security]]></category>
		<category><![CDATA[Spying]]></category>
		<category><![CDATA[War]]></category>
		<category><![CDATA[drone]]></category>
		<category><![CDATA[X-47B]]></category>

		<guid isPermaLink="false">http://futurepredictions.com/?p=11520</guid>
		<description><![CDATA[&#8220;Defense officials said the U.S. Army plans to eliminate at least eight brigades while reducing the size of the active duty Army from 570,000 to 490,000, cuts that are likely to hit armored and heavy infantry units the hardest. But drone and special-operations deployments would continue to grow as they have in recent years.&#8221; Defense [...]]]></description>
			<content:encoded><![CDATA[<h2>&#8220;<a href="http://online.wsj.com/article/SB10001424052970204624204577183234216799116.html?mod=WSJ_GoogleNews&#038;mod=igoogle_wsj_gadgv1" target="_blank">Defense officials said</a> the U.S. Army plans to eliminate at least eight brigades while reducing the size of the active duty Army from 570,000 to 490,000, cuts that are likely to hit armored and heavy infantry units the hardest. But drone and special-operations deployments would continue to grow as they have in recent years.&#8221;</h2>
<p><a href="http://futurepredictions.com/wp-content/uploads/2012/01/AIR_Raytheon_UAV_Universal_Control_System_lg.jpg"><img src="http://futurepredictions.com/wp-content/uploads/2012/01/AIR_Raytheon_UAV_Universal_Control_System_lg.jpg" alt="" title="AIR_Raytheon_UAV_Universal_Control_System_lg" width="614" height="501" class="aligncenter size-full wp-image-11531" /></a></p>
<h3>Defense Secretary Leon Panetta on Thursday and in budget documents next month, calls for a 30% increase in the U.S. fleet of armed unmanned aircraft in the coming years, defense officials said. </p>
<p><span id="more-11520"></span></h3>
<p><a href="http://futurepredictions.com/wp-content/uploads/2012/01/X-47Babove21.jpg"><img src="http://futurepredictions.com/wp-content/uploads/2012/01/X-47Babove21.jpg" alt="" title="X-47Babove2" width="490" height="735" class="aligncenter size-full wp-image-11529" /></a></p>
<p>One major component of the data collection and dissemination process is the UAV GCS. The ground station receives the information collected by a UAV, processes that information, and reroutes it via a datalink to the appropriate end user. The station also controls where the UAV goes and what it looks at.</p>
<p>For example, the MQ-1 Predator UAV system comes in a package with 4 vehicles, 1 GCS, and a data link suite that consists of UHF and VHF radio relay links, a C-band line-of-sight data link, and Ku-band satellite data links. When the Predator drone is out of sight of the GCS, the operators use a satellite data link.</p>
<p>The Predator GCS is housed in a commercially available trailer. The trailer incorporates an integral uninterrupted power supply, environmental control system, pilot and payload operator (PPO) workstations, data exploitation, mission planning, communication (DEMPC) terminals, and synthetic aperture radar (SAR) workstations. All imagery recording is located in the GCS, since the Predator has no onboard recording capability.</p>
<p><a href="http://futurepredictions.com/wp-content/uploads/2012/01/X-47Babove1.jpg"><img src="http://futurepredictions.com/wp-content/uploads/2012/01/X-47Babove1.jpg" alt="" title="X-47Babove" width="490" height="342" class="aligncenter size-full wp-image-11530" /></a></p>
<p>[<a href="http://www.defenseindustrydaily.com/uav-ground-control-solutions-06175/" target="_blank">Drone Control Room</a>]</p>
]]></content:encoded>
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		</item>
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		<title>Predictions: When Will You Have a Stroke or Heart Attack? Prediction Accuracy is a Matter of Statistics!</title>
		<link>http://futurepredictions.com/2012/01/predictions-when-will-you-have-a-stroke-or-heart-attack-prediction-accuracy-is-a-matter-of-statistics/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=predictions-when-will-you-have-a-stroke-or-heart-attack-prediction-accuracy-is-a-matter-of-statistics</link>
		<comments>http://futurepredictions.com/2012/01/predictions-when-will-you-have-a-stroke-or-heart-attack-prediction-accuracy-is-a-matter-of-statistics/#comments</comments>
		<pubDate>Thu, 26 Jan 2012 16:18:15 +0000</pubDate>
		<dc:creator>futurepredictions</dc:creator>
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		<guid isPermaLink="false">http://futurepredictions.com/?p=11519</guid>
		<description><![CDATA[Heart Attack or Stroke? ScienceDaily (Jan. 25, 2012) — Will you have a heart attack or a stroke in your lifetime? Your odds may be worse than you think. &#8220;We are giving incomplete and misleading risk information if we only focus on the next 10 years of someone&#8217;s life,&#8221; said principal investigator Donald Lloyd-Jones, MD, [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://futurepredictions.com/wp-content/uploads/2012/01/heart-attack.jpg"><img src="http://futurepredictions.com/wp-content/uploads/2012/01/heart-attack.jpg" alt="" title="heart attack" width="354" height="365" class="aligncenter size-full wp-image-11522" /></a></p>
<p><strong>Heart Attack or Stroke?<br />
<a href="http://www.sciencedaily.com/releases/2012/01/120125172310.htm?utm_source=feedburner&#038;utm_medium=feed&#038;utm_campaign=Feed%3A+sciencedaily+%28ScienceDaily%3A+Latest+Science+News%29&#038;utm_content=Google+Feedfetcher" target="_blank">ScienceDaily (Jan. 25, 2012)</a> — Will you have a heart attack or a stroke in your lifetime? Your odds may be worse than you think.<br />
</strong><br />
<iframe width="625" height="315" src="http://www.youtube.com/embed/poc1eTuJJfc" frameborder="0" allowfullscreen></iframe><br />
&#8220;We are giving incomplete and misleading risk information if we only focus on the next 10 years of someone&#8217;s life,&#8221; said principal investigator Donald Lloyd-Jones, MD, chair and associate professor of preventive medicine at Northwestern University Feinberg School of Medicine and a physician at Northwestern Memorial Hospital. &#8220;With even just one risk factor, the likelihood is very large that someone will develop a major cardiovascular event that will kill them or substantially diminish their quality of life or health.&#8221;</p>
<h1>Some key findings of the study:</p>
<p><span id="more-11519"></span></h1>
<blockquote><p>
Men who are 45 years old and have all risk factors at optimal levels have a 1.4 percent risk of having a heart attack or stroke or other form of death from heart disease while having two or more risk factors hike the risk to 49.5 percent.</p>
<p>For 45-year-old women with all risk factors being optimal, the chance of having a heart attack or stroke in their lifetimes is 4.1 percent while having two or more risk factors boost it to 30.7 percent.</p>
<p>&#8220;Just even one small increase in risk, from all optimal risk factors to one that isn&#8217;t optimal, like slightly elevated cholesterol or blood pressure, significantly bumps up a person&#8217;s lifetime risk,&#8221; Lloyd-Jones said. (Non-optimal means a person doesn&#8217;t have diabetes and doesn&#8217;t smoke but either cholesterol is 180 to 199 or blood pressure is 120 to 130 on top or 80 to 89 on the bottom. These numbers aren&#8217;t at levels that need to be treated with medication, but they are still higher than desired.)</p>
<p>Women have a higher risk than men for a stroke over their lifetimes but a lower risk for a heart attack.<br />
African-Americans have higher risk factors such as more hypertension and diabetes than whites, but because they also tend to die at younger ages, their lifetime risk of having a heart attack or stroke ends up being the same as whites.</p>
<p>&#8220;This study underscores the importance of lifestyle &#8212; particularly diet, exercise and smoking cessation &#8212; all the lifestyle patterns that are important in reducing the development of the risk factors in the first place,&#8221; said Jarett Berry, MD, who worked on the study when he was at Northwestern&#8217;s Feinberg School and is now assistant professor of medicine at University of Texas Southwestern Medical Center.<br />
&#8220;We need to do a much better job of making sure these risk factors don&#8217;t develop in the first place, getting kids and young adults off to better starts so they don&#8217;t gain weight and are following healthier lifestyles throughout their lives,&#8221; Lloyd-Jones said.</p>
<p>Lloyd-Jones pointed out that maintaining the full package of optimal risk factors through middle age had a dramatic effect on the remainder of a person&#8217;s life. &#8220;It appears that the whole is greater than the sum of the parts,&#8221; he said.</p></blockquote>
<p>The research was supported by the National Heart, Lung and Blood Institute.</p>
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		<title>Future Predictions: Scientists Will Uncover How Our Brain Works by Mapping the Neural Pathways that Underlie the Human Brain</title>
		<link>http://futurepredictions.com/2012/01/future-predictions-scientists-will-uncover-how-our-brain-works-by-mapping-the-neural-pathways-that-underlie-human-brain/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=future-predictions-scientists-will-uncover-how-our-brain-works-by-mapping-the-neural-pathways-that-underlie-human-brain</link>
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		<pubDate>Tue, 24 Jan 2012 16:15:09 +0000</pubDate>
		<dc:creator>futurepredictions</dc:creator>
				<category><![CDATA[Biology]]></category>
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		<description><![CDATA[About The NIH Human Connectome Project is an ambitious effort to map the neural pathways that underlie human brain function. The overarching purpose of the Project is to acquire and share data about the structural and functional connectivity of the human brain. It will greatly advance the capabilities for imaging and analyzing brain connections, resulting [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://futurepredictions.com/wp-content/uploads/2012/01/t5-720x512.jpg"><img src="http://futurepredictions.com/wp-content/uploads/2012/01/t5-720x512.jpg" alt="" title="t5-720x512" width="720" height="512" class="aligncenter size-full wp-image-11508" /></a></p>
<p><strong>About<br />
The <a href="http://www.humanconnectomeproject.org/gallery/" target="_blank">NIH Human Connectome Project</a> is an ambitious effort to map the neural pathways that underlie human brain function. The overarching purpose of the Project is to acquire and share data about the structural and functional connectivity of the human brain. It will greatly advance the capabilities for imaging and analyzing brain connections, resulting in improved sensitivity, resolution, and utility, thereby accelerating progress in the emerging field of human connectomics.</p>
<p>Altogether, the Human Connectome Project will lead to major advances in our understanding of what makes us uniquely human and will set the stage for future studies of abnormal brain circuits in many neurological and psychiatric disorders.</strong></p>
<h2>Gallery</h2>
<div class="post" id="post-444">
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<p><strong><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/cing7-e1307569111895-720x476.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/cing7-e1307569111895-150x150.jpg" width="150" height="150" alt="" /></a></p>
<p></strong></dt>
<dd class="gallery-caption" id="caption455"><span class="imagedescription">HARDI (high angular resolution diffusion imaging) tracks: Information transfer between left and right hemispheres. Visualization by Paul Thompson, PhD</span>
</dd>
</dl>
<dl class="gallery-item">
<dt class="gallery-icon">
<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/coronal_HARDI_HiRez-e1307569096910-720x720.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/coronal_HARDI_HiRez-e1307569096910-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption456"><span class="imagedescription">HARDI (high-angular resolution diffusion imaging), Coronal view. The tensor can be visualized as an ellipsoid in 3D space, showing fluid mappings and brain connectivity. Visualization by David Shattuck, PhD</span>
</dd>
</dl>
<dl class="gallery-item">
<dt class="gallery-icon">
<h1><span id="more-11504"></span></h1>
<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/deformation21-e1307569086946-720x554.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/deformation21-e1307569086946-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption457"><span class="imagedescription">Diffusion Tensor Imaging Deformation. Ellipsoidal tensor glyphs visualize fluid registration. Visualization by David Shattuck, PhD</span>
</dd>
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<div style="clear: both;"></div>
<dl class="gallery-item">
<dt class="gallery-icon">
<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/dti-black-e1307569076316-720x394.png" title="A slice of diffusion tensor ellipsoids plotted over the fractional anisotropy image to illustrate fiber orientations throughout the brain. Software: DIRAC. Visualization by Vishal Patel, PhD"><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/dti-black-e1307569076316-150x150.png" width="150" height="150" alt="A slice of diffusion tensor ellipsoids plotted over the fractional anisotropy image to illustrate fiber orientations throughout the brain. Software: DIRAC. Visualization by Vishal Patel, PhD" /></a></p>
</dt>
<dd class="gallery-caption" id="caption458"><span class="imagecaption">A slice of diffusion tensor ellipsoids plotted over the fractional anisotropy image to illustrate fiber orientations throughout the brain. Software: DIRAC. Visualization by Vishal Patel, PhD</span>
</dd>
</dl>
<dl class="gallery-item">
<dt class="gallery-icon">
<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/DTIstatistical-segmentation-usingv-diﬀerent-dist-e1307569062923-720x172.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/DTIstatistical-segmentation-usingv-diﬀerent-dist-e1307569062923-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption459"><span class="imagedescription">DTI statistical segmentation using v different distribution</span>
</dd>
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<dl class="gallery-item">
<dt class="gallery-icon">
<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/ev-black-e1307569052431-720x394.png" title="The primary eigenvector of the diffusion tensor at each voxel indicates the orientation of the fibers at each point in these three axial slices. Software: DIRAC. Visualization by Vishal Patel, PhD"><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/ev-black-e1307569052431-150x150.png" width="150" height="150" alt="The primary eigenvector of the diffusion tensor at each voxel indicates the orientation of the fibers at each point in these three axial slices. Software: DIRAC. Visualization by Vishal Patel, PhD" /></a></p>
</dt>
<dd class="gallery-caption" id="caption460"><span class="imagecaption">The primary eigenvector of the diffusion tensor at each voxel indicates the orientation of the fibers at each point in these three axial slices. Software: DIRAC. Visualization by Vishal Patel, PhD</span>
</dd>
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<div style="clear: both;"></div>
<dl class="gallery-item">
<dt class="gallery-icon">
<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/ev-brain-black-e1307569043474-720x394.png" title=" The primary eigenvector of the diffusion tensor in these two axial slices indicates the fiber orientation at each voxel.  A transparent brain surface rendering provides a sense of position and scale. Software: DIRAC. Visualization by Vishal Patel, PhD"><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/ev-brain-black-e1307569043474-150x150.png" width="150" height="150" alt=" The primary eigenvector of the diffusion tensor in these two axial slices indicates the fiber orientation at each voxel.  A transparent brain surface rendering provides a sense of position and scale. Software: DIRAC. Visualization by Vishal Patel, PhD" /></a></p>
</dt>
<dd class="gallery-caption" id="caption461"><span class="imagecaption"> The primary eigenvector of the diffusion tensor in these two axial slices indicates the fiber orientation at each voxel.  A transparent brain surface rendering provides a sense of position and scale. Software: DIRAC. Visualization by Vishal Patel, PhD</span>
</dd>
</dl>
<dl class="gallery-item">
<dt class="gallery-icon">
<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/hardi2-e1307569031954-644x720.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/hardi2-e1307569031954-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption462"><span class="imagedescription">HARDI (high angular resolution diffusion imaging) tracks show aligned brain DTI data across subjects with a 3D fluid transformation, optimizing a measure based on information theory. Visualization by David Shattuck, PhD</span>
</dd>
</dl>
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<dt class="gallery-icon">
<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/odf-black-e1307569020413-720x394.png" title="The orientation distribution function (ODF) computed in high angular resolution diffusion imaging (HARDI) provides for the presence of multiple fiber populations at each voxel.  Software: DIRAC. Visualization by Vishal Patel, PhD"><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/odf-black-e1307569020413-150x150.png" width="150" height="150" alt="The orientation distribution function (ODF) computed in high angular resolution diffusion imaging (HARDI) provides for the presence of multiple fiber populations at each voxel.  Software: DIRAC. Visualization by Vishal Patel, PhD" /></a></p>
</dt>
<dd class="gallery-caption" id="caption463"><span class="imagecaption">The orientation distribution function (ODF) computed in high angular resolution diffusion imaging (HARDI) provides for the presence of multiple fiber populations at each voxel.  Software: DIRAC. Visualization by Vishal Patel, PhD</span>
</dd>
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<dt class="gallery-icon">
<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/saggittal_HARDI_HiRez-e1307569004444-720x720.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/saggittal_HARDI_HiRez-e1307569004444-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption464"><span class="imagedescription">HARDI (high-angular resolution diffusion imaging), Saggital view. The tensor can be visualized as an ellipsoid in 3D space, showing fluid mappings and brain connectivity. Visualization by David Shattuck, PhD</span>
</dd>
</dl>
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<dt class="gallery-icon">
<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/axial_HARDI_HiRez-e1307568984609-720x720.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/axial_HARDI_HiRez-e1307568984609-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption465"><span class="imagedescription">HARDI (high-angular resolution diffusion imaging), Axial view.The tensor can be visualized as an ellipsoid in 3D space, showing fluid mappings and brain connectivity. Visualization by David Shattuck, PhD</span>
</dd>
</dl>
<dl class="gallery-item">
<dt class="gallery-icon">
<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/data1-e1307568971118-720x693.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/data1-e1307568971118-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption466"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
</dd>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data2-e1307568958338-720x553.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data2-e1307568958338-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption467"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
</dd>
</dl>
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<dt class="gallery-icon">
<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data2a-e1307568911229-720x553.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data2a-e1307568911229-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption468"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
</dd>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data4-e1307568899113-720x693.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data4-e1307568899113-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption469"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
</dd>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/data6-e1307568879727-720x693.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/data6-e1307568879727-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption470"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
</dd>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data6a-e1307568862718-720x693.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data6a-e1307568862718-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption471"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
</dd>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data9-e1307568850752-720x693.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data9-e1307568850752-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption472"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
</dd>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data10-e1307568838301-720x553.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data10-e1307568838301-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption473"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
</dd>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data11-e1307568827675-720x553.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data11-e1307568827675-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption474"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
</dd>
</dl>
<dl class="gallery-item">
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data14-e1307568806641-720x693.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/Data14-e1307568806641-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption475"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/DataB2-e1307568765279-720x553.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/DataB2-e1307568765279-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption476"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
</dd>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/DataC7-e1307568684287-720x553.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/06/DataC7-e1307568615149-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption477"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
</dd>
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<dl class="gallery-item">
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/08/t2-720x635.png" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/08/t2-150x150.png" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption517"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/08/t3-720x656.png" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/08/t3-150x150.png" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption518"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p></span>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/08/t4-720x505.png" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/08/t4-150x150.png" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption519"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p></span>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/08/t5-720x512.png" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/08/t5-150x150.png" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption520"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/08/t7a-720x521.png" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/08/t7a-150x150.png" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption522"><span class="imagedescription">Select white matter tracts that run through spherical Regions of Interest (ROIs), superimposed over a larger amount of tracts from the same data set. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p></span>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/08/t8-717x720.png" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/08/t8-150x150.png" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption523"><span class="imagedescription">Select white matter tracts that run through spherical Regions of Interest (ROIs). Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p></span>
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<p><a href="http://www.humanconnectomeproject.org/wp-content/uploads/2011/11/T9b-720x514.jpg" title=""><img src="http://www.humanconnectomeproject.org/wp-content/uploads/2011/11/T9b-150x150.jpg" width="150" height="150" alt="" /></a></p>
</dt>
<dd class="gallery-caption" id="caption651"><span class="imagedescription">White matter fiber architecture of the brain. Measured from diffusion spectral imaging (DSI). The fibers are color-coded by direction: red = left-right, green = anterior-posterior, blue = through brain stem.</p>
<p>Data provided by: Randy Buckner, PhD. Software: Trackvis. Visualization by Vaughan Greer</span>
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		<title>Future Prediction: Work Out Comes in a Pill, &#8220;Irisin&#8221; Named After the Greek Goddess Iris</title>
		<link>http://futurepredictions.com/2012/01/future-prediction-work-out-comes-in-a-pill-irisin-named-after-the-greek-goddess-iris/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=future-prediction-work-out-comes-in-a-pill-irisin-named-after-the-greek-goddess-iris</link>
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		<pubDate>Mon, 23 Jan 2012 23:22:42 +0000</pubDate>
		<dc:creator>futurepredictions</dc:creator>
				<category><![CDATA[Future Predictions]]></category>

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		<description><![CDATA[WHAT LOSE WEIGHT? TRY TAKING A PILL Claude Monet, &#8220;Irises in Monet s Garden&#8221; SCIENTISTS CLAIM THEY HAVE FOUND THE PERFECT DIET PILL &#8220;IRISIN&#8221; A group of researchers at Dana-Farber Cancer Institute and Harvard Medical School, led by Bruce Spiegelman and Pontus Boström, have discovered a hormone that mimics some of the results of a [...]]]></description>
			<content:encoded><![CDATA[<h1>WHAT LOSE WEIGHT? TRY TAKING A PILL</h1>
<p><strong>Claude Monet, &#8220;Irises in Monet s Garden&#8221;</strong><br />
<a href="http://futurepredictions.com/wp-content/uploads/2012/01/apc.jpg"><img src="http://futurepredictions.com/wp-content/uploads/2012/01/apc.jpg" alt="" title="apc" width="600" height="515" class="aligncenter size-full wp-image-11496" /></a></p>
<h4>SCIENTISTS CLAIM THEY HAVE FOUND THE PERFECT DIET PILL &#8220;IRISIN&#8221;</h4>
<p><a href="http://futurepredictions.com/wp-content/uploads/2012/01/fat_pet_cat.jpg"><img src="http://futurepredictions.com/wp-content/uploads/2012/01/fat_pet_cat.jpg" alt="" title="fat_pet_cat" width="460" height="488" class="aligncenter size-full wp-image-11435" /></a><br />
A group of researchers at Dana-Farber Cancer Institute and Harvard Medical School, led by Bruce Spiegelman and Pontus Boström, have discovered a hormone that mimics some of the results of a workout by facilitating the transformation of white fat into brown fat. While the purpose of the former is to accumulate excess calories, the latter is used to produce heat. <a href="http://www.telegraph.co.uk/health/healthnews/9008953/New-pill-that-helps-you-to-stay-fit-without-exercise.html" target="_blank">Irisin</a>, named after the Greek goddess Iris, could one day help address obesity and diabetes.<br />
[Article Quote <a href="http://www.gizmag.com/hormone-mimics-exercise/21150/?utm_source=Gizmag+Subscribers&#038;utm_campaign=a91a1f25cb-UA-2235360-4&#038;utm_medium=email" target="_blank">gizmag.com</a>]</p>
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