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StoneFly Adds KOMpliance to IP SANs

Scalable Affordable Enterprise Storage to Meet Regulatory Compliance Requirements KOM Networks and StoneFly, a subsidiary of Dynamic Network Factory, Inc. (DNF), have announced certification of the KOMpliance i-Series Gateway for its IP SAN solutions. “Both KOM Networks and StoneFly are proving that compliant storage solutions needn’t be plagued with complexity and high costs to be effective,” said Taher Shaath, CEO of KOM Networks. “Adding KOMpliance to the feature rich capabilities of StoneFly’s IP SAN allows the level of scalability, security, protection and retention enforcement that all businesses need to meet their compliance obligations, mitigate risk and liability.” StoneFly offers cost effective IP SAN solutions with scalable architecture to meet storage consolidation, virtualization and disaster recovery needs of all enterprises, large…

A new kind of metal in the deep Earth

The crushing pressures and intense temperatures in Earth's deep interior squeeze atoms and electrons so closely together that they interact very differently. With depth materials change. New experiments and supercomputer computations discovered that iron oxide undergoes a new kind of transition under deep Earth conditions. Iron oxide, FeO, is a component of the second most abundant mineral at Earth's lower mantle, ferropericlase. The finding, published in an upcoming issue of Physical Review Letters, could alter our understanding of deep Earth dynamics and the behavior of the protective magnetic field, which shields our planet from harmful cosmic rays. Ferropericlase contains both magnesium and iron oxide. To imitate the extreme conditions in the lab, the team including coauthor Ronald Cohen of Carnegie's…

Journal Piece Reveals New Data-driven Methods for Understanding Climate Change

Geographical variability of rainfall extremes in India enhances interpretation of climate change dataIn February 2012, the journal Nature Climate Change will publish a paper on rainfall extremes in India by principal investigator Vipin Kumar of the University of Minnesota's computer science and engineering department and co-principal investigator Auroop Ganguly of the civil and environmental engineering department at Northeastern University in Boston, members of the National Science Foundation's (NSF) Expeditions project team. Nature pre-published the paper online today. Based on new data-driven methods, or novel adaptations for understanding climate change developed by the Expeditions team, the paper identifies a steady and significant increase in geographical variability within India over the past half-century. The data-driven methods used, say the researchers, can be…

Tool enables scientists to uncover patterns in vast data sets

Relationships discovered in data will shed light on vexing problems and increase human understanding With support from the National Science Foundation, researchers from the Broad Institute and Harvard University recently developed a tool that can uncover patterns in large data sets in a way that no other software program can. Called Maximal Information Coefficient or MIC, the tool can can tease out multiple, recurring events or sets of data hidden in health information from around the globe, or in the changing bacterial landscape of the gut or even in statistics amassed from a season of competitive sports--and much more. The researchers report their findings in the Dec. 16th issue of the journal Science. Part of a suite of statistical tools…

Can science predict a hit song?

Hit song science once again a science? Most people remember listening to the official UK top 40 singles chart and watching the countdown on Top of the Pops, but can science work out which songs are more likely to 'make it' in the chart? New research has looked at whether a song can be predicted to be a 'hit'. The paper, to be presented at an international workshop this week, argues that predicting the popularity of a song may well be feasible by using state-of-the-art machine learning algorithms. The research team, led by Dr Tijl de Bie, is based in the University of Bristol's Intelligent Systems Laboratory in the Faculty of Engineering. The team looked at the official UK top…