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With the advent of dense maps of human genetic variation, it is now possible to detect positive natural selection across the human genome. Here we report an analysis of over 3 million polymorphisms from the International HapMap Project Phase 2 (HapMap2). We used 'long-range haplotype' methods, which were developed to identify alleles segregating in a(More)
Despite great progress in identifying genetic variants that influence human disease, most inherited risk remains unexplained. A more complete understanding requires genome-wide studies that fully examine less common alleles in populations with a wide range of ancestry. To inform the design and interpretation of such studies, we genotyped 1.6 million common(More)
We discuss two named-entity recognition models which use characters and character n-grams either exclusively or as an important part of their data representation. The first model is a character-level HMM with minimal context information, and the second model is a maximum-entropy conditional markov model with substantially richer context features. Our best(More)
AltiVec technology is Motorola's high-per$ormance vector parallel processing extension to the PowerPC " ' RISC microprocessor. It is designed to improve the performance of algorithms and applications that can exploit data parallelism such as those in digital signal processing (DSP) and multimedia. In this paper, we investigate the behavior of the AltiVec(More)
—In smart grid, the strong coupling between cyber and physical operations makes power systems vulnerable to cyber attacks. In this paper, stealth false data attacks are investigated where the attackers without prior knowledge of the power grid topology, try to make inferences through phasor observations. We show that when the system dynamics are small and(More)
—Given a budget and arbitrary cost for selecting each node, the budgeted influence maximization (BIM) problem concerns selecting a set of seed nodes to disseminate some information that maximizes the total number of nodes influenced (termed as influence spread) in social networks at a total cost no more than the budget. Our proposed seed selection algorithm(More)