DiscoverPoint Software Selected “Product of the Month” by Government Computer News
News from Sacramento Bee:

WASHINGTON, Feb. 15, 2012 /PRNewswire/ – Today Discover Technologies, LLC announced that Government Computer News (GCN) selected its DiscoverPoint solution for Microsoft’s industry-leading SharePoint collaboration software Product of the Month February, 2012.  According to GCN Staff Writer Greg Crow, DiscoverPoint was selected because of its ability to “prevent agencies from constantly reinventing the wheel” and because it “helps users move forward with new tasks and projects.”

According to Crowe, “The really cool things start happening after you’ve been using the system for a while. As more personnel and documents relevant to what you are doing become available on the system, they will (automatically) show up on your discovery page. Secondly, as you perform more WEB searches and read more documents, DiscoverPoint will change the items it pulls up for you.” The entire article is available on GCN’s site at http://gcn.com.

“We are proud that Government Computer News chose DiscoverPoint as their Product of the Month,” said Dave Truitt, Discover Technologies founder and CEO. Truitt further explained, “The Lab at GCN is well respected for their product reviews and ability to understand diverse enterprise search solutions. T…………… continues on Sacramento Bee

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Computer Program IDs Teens at Risk of Mental Illness
News from LiveScience.com:

The computer program could let parents, and doctors, know whether their teen is at a high risk of developing depression or anxiety.
CREDIT: CREATISTA, Shutterstock

Computer programs may be able to identify teenagers most at risk of mental disorders such as anxiety and depression by analyzing brain scans, researchers say.

When it comes to mental illnesses, spotting those at high risk early in life is critical for treatment.

“Anxiety and mood disorders can have a devastating effect on the individuals concerned and on their families and friends,” said researcher Mary Phillips at the University of Pittsburgh. “If we are able to identify those individuals at greatest risk early on, we can offer early and app…………… continues on LiveScience.com

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