Announcing: JuiceKit™ SDK Open Source: Juice Analytics - 0 views
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We're proud to announce the open source release of Juice Analytic's JuiceKit SDK.
The JuiceKit is a toolkit built on Adobe's Flex SDK to make it easier for web designers and software developers to build visually compelling Information Experiences™. It contains a wide variety of development components from individual data renderers such as a single "small multiple", to a large visualization component such as a treemap or US Map, to fine grained "helpers" that provide handy capabilities such as copying data to the computer's clipboard. These components can be used independently, within other applications, or assembled together to create full applications.
SourceForge.net: katta - 0 views
Welcome to Solr - 0 views
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Solr is an open source enterprise search server based on the Lucene Java search library, with XML/HTTP and JSON APIs, hit highlighting, faceted search, caching, replication, a web administration interface and many more features. It runs in a Java servlet container such as Tomcat.
See the complete feature list for more details, then check out the tutorial.
For more information about Solr, please see the Solr wiki.
Juice stimulus bill explorer - 0 views
SourceForge.net: proGPUKLT - 0 views
codeswarm - Google Code - 0 views
Jeff Jonas - 0 views
processingjs - 0 views
Pipes: Twitter Friends - 0 views
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Show your Twitter friends on a map that can be easily added to your blog's sidebar. There's more information at http://www.mmmeeja.com/blog/social-networking/twitter-followers-map.html
Capitol Words - 0 views
Capitol Words - 0 views
archivesz - Google Code - 0 views
NEJM -- Electronic Health Records in Ambulatory Care -- A National Survey of Physicians - 0 views
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Electronic Health Records in Ambulatory Care — A National Survey of Physicians
HMS Media Services Preview - 0 views
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Symposium 4-11-08 Part 1
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Partners Healthcare has a strategic initiative that is truly remarkable. They are leveraging their Longitudinal Health Record information in ways that will change they way Bioinformatics is done. This method will dramatically reduce the cost of research and at the same time speed up the process by a factor of 10. There are 4 fundamental principles of this strategy:
Aggregate the information across the entire LMR platform
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i2b2: Informatics for Integrating Biology & the Bedside - 0 views
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Symposium 2008
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