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The Internet of Things Consortium is a non-profit organization with the mission of facilitating cooperation between hardware, software, and service providers. The IoT Consortium is primarily focused on those Internet enabled devices and related software services that directly touch consumers in the form of home automation, entertainment, and productivity.

Effective Ideas, information and Knowledge Processing Technologies for the Innovative Organization. Anywhere, Anytime Collaboration: Connecting People with Ideas for results. Facilitating Problem Solving and Knowledge Management at the Speed of Mind

OpenLab Network facilitates innovative, creative and collaborative research with art, community, design, technology, and science with the University of California Santa Cruz.

Standards for Web Content Interoperability The Open Archives Initiative develops and promotes interoperability standards that aim to facilitate the efficient dissemination of content. OAI has its roots in the open access and institutional repository movements. Continued support of this work remains a cornerstone of the Open Archives program. Over time, however, the work of OAI has expanded to promote broad access to digital resources for eScholarship, eLearning, and eScience.

Sciencenet - Towards a global search and share engine for all scientific knowledge. We have developed a prototype distributed scientific search engine technology, "Sciencenet", which facilitates rapid searching over this large data space. By "bringing the search engine to the data" we do not require server farms. This platform also allows users to contribute to the search index and publish their large scale data to support e-Science. Furthermore, a community-driven method guarantees that only scientific content is crawled and presented. Our peer-to-peer approach is sufficiently scalable for the science web without performance or capacity tradeoff.

The vision for EdITLib, the Digital Library for Education & Information Technology, is to facilitate learning, discovery and innovation by connecting scholarly research on Educational Technology/E-Learning with learning opportunities.

Many newly diagnosed prostate cancers present as low Gleason score tumors that require no treatment intervention. Distinguishing the many indolent tumors from the minority of lethal ones remains a major clinical challenge. We now show that low Gleason score prostate tumors can be distinguished as indolent and aggressive subgroups on the basis of their expression of genes associated with aging and senescence. Using gene set enrichment analysis, we identified a 19-gene signature enriched in indolent prostate tumors. We then further classified this signature with a decision tree learning model to identify three genes-FGFR1, PMP22, and CDKN1A-that together accurately predicted outcome of low Gleason score tumors. Validation of this three-gene panel on independent cohorts confirmed its independent prognostic value as well as its ability to improve prognosis with currently used clinical nomograms. Furthermore, protein expression of this three-gene panel in biopsy samples distinguished Gleason 6 patients who failed surveillance over a 10-year period. We propose that this signature may be incorporated into prognostic assays for monitoring patients on active surveillance to facilitate appropriate courses of treatment.

"This website is dedicated to the DIYbio movement and aims to facilitate the formation of a like-minded community in Belgium."

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The network of scientists will facilitate scholarly discovery. Institutions will participate in the network by installing VIVO, or by providing semantic web-compliant data to the network.