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Yearly Archives: 2013
Gleaning data from a virtual world
RENCI and Duke researchers aim to understand whether VEs can help patients control diabetes Rates of type 2 diabetes are increasing, and the debilitating disease touches the lives of more and more people each day. Although genetic factors do play a role in the chance of an individual developing this chronic condition, lifestyle choices such […]
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RENCI Director to appear on UNC-TV
RENCI’s Sharlini Sankaran, the Executive Director of REACH NC, will be speaking about the program on UNC-TV on October 16 at 3:15 p.m. She will be speaking about what REACH NC is and why it is important. The REACH NC program began as a way to allow North Carolina to tap into its own pool of […]
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RENCI collaborates on award-winning paper
Congratulations to RENCI staff Arcot Rajasekar, Sharlini Sankaran, and Howard Lander, whom, along with other collaborators, won the best paper award at the ASE/IEEE International Conference on Big Data! The conference paper acceptance rate is 8.5%, and their paper, entitled “The data bridge: Sociometric methods for long-tail scientific data”, was one of only two winners […]
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NOAA funding will help RENCI continue development of surge forecasting system
CHAPEL HILL, NC – The state of North Carolina is the third most susceptible to hurricane and tropical storm damage, with only Florida and Louisiana taking more hits from hurricanes in the history of weather tracking. In recent years, RENCI has contributed to the never-ending task of protecting the North Carolina coastline from potential damage […]
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TR-13-03 Factors Influencing Data Archival of Large-scale Genomic Data Sets
Kirk C. Wilhelmsen (RENCI), Charles P. Schmitt (RENCI), Karamarie Fecho (RENCI), Technical Report TR-13-03, Factors Influencing Data Archival of Large-scale Genomic Data Sets, A mathematical formalism to comprehensively evaluate the costs-benefits of archiving large data sets, Renaissance Computing Institute, 2013.
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UNC partners with NIH to explore genomic testing for newborns
UNC School of Medicine project will use RENCI-developed analytics framework. CHAPEL HILL, N.C. – As the clinical use of genomic testing expands, the practical and ethical considerations of using the technology to screen newborns for genetic conditions will be the focus of a new study undertaken at the University of North Carolina. Researchers at UNC […]
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RENCI helps visualize National Geographic feature story on rising seas
To create an interactive image to demonstrate the effects of major tropical storms and storm surge in the future, National Geographic magazine turned to RENCI for assistance. Senior Research Scientist Brian Blanton helped the magazine staff interpret data they received from NOAA and the Army Corps of Engineers on what Manhattan would look like if […]
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RENCI helps visualize National Geographic feature story on rising seas
To create an interactive image to demonstrate the effects of major tropical storms and storm surge in the future, National Geographic magazine turned to RENCI for assistance. Senior Research Scientist Brian Blanton helped the magazine staff interpret data they received from NOAA and the Army Corps of Engineers on what Manhattan would look like if […]
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RENCI helps youth of today build technology of tomorrow
Fuel emissions from motors in cars, motorcycles, even lawnmowers and chainsaws, are one of the greatest contributors to climate change. Using the technology and expert assistance of UNC’s Renaissance Computing Institute (RENCI), a research institution that develops advanced technologies to enable research and innovation, Rishi Rajagopalan, is trying to tackle this environmental problem. As a […]
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TR-13-02 Using Semantic Web Description Techniques for Managing Resources in a Multi-Domain Infrastructure-as-a-Service Environment
Yufeng Xin (RENCI), Ilia Baldine (RENCI), Jeff Chase (Duke University) and Kemafor Anyanwu (NCSU), Technical Report TR-13-02, Using Semantic Web Description Techniques for Managing Resources in a Multi-Domain Infrastructure-as-a-Service Environment, Renaissance Computing Institute, 2013.
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