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STOP terrorism software

Researchers at University of Maryland's Institute for Advanced Computer Studies create SOMA Terror Organization Portal (STOP) to analyze and forecast terrorist organization behavior. The technology allows analysts to query learned rules, network with other experts, and test theories using data-driven forecasting capabilities.

Progress in understanding the malarial parasite

Researchers constructed a chaperone interaction network for the malarial parasite, highlighting new proteins that can potentially be used in the fight against malaria. The study provides insights into the functions of molecular chaperones and their role in chromatin remodeling, protein trafficking, and cytoadherence.

SourcePLOS·JournalPLOS Computational Biology·DateSep 13, 2007

Cyber jams

Researchers aim to optimize internet traffic flow by allocating available capacity fairly among competing packets of information. A new algorithm developed could be applied to various networks, including telephone systems and power grids.

New techniques to foil cyber intruders

Researchers at the Naval Surface Warfare Center are developing new statistical techniques to aid human operators in detecting and defending computer networks against intrusion. The new algorithms will filter out access attempts from strange places or at strange hours, or any attempts asking for unusual information.