Biomedical research is critical to biodefense, which is drawing increasing attention from governments globally as well as from various research communities. The U.S. government has been closely monitoring and regulating biomedical research activities, particularly those studying or involving bioterrorism agents or diseases. Effective surveillance requires comprehensive understanding of extant b...

This paper presents a technology mapper that optimizes the average performance of asynchronous burst-mode control circuits. More specifically, the mapper can be directed to minimize either the average latency or the average cycle time of the circuit. The input to the mapper is a burst-mode specification and its NAND-decomposed unmapped network. The mapper pre-processes the circuit’s specificati...

In this study we tested the ability of a mechanistic model (Niche Mapper™) to accurately model adult, non-denning polar bear (Ursus maritimus) energetics while fasting during the ice-free season in the western Hudson Bay. The model uses a steady state heat balance approach, which calculates the metabolic rate that will allow an animal to maintain its core temperature in its particular microclim...

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We treat nouns that behave adjectively, which we call adjectival nouns, extracted from large corpora. For example, in “financial world” and “world of finance,” “financial” and “finance” are different parts of speech, but their semantic behaviors are similar to each other. We investigate how adjectival nouns are similar to adjectives and different from non-adjectival nouns by using self-organizi...

Until recently, Chinese texts could not be studied using co-word analysis because the words are not separated by spaces in Chinese (and Japanese). A word can be composed of one or more characters. The online availability of programs that separate Chinese texts makes it possible to analyze them using semantic maps. Chinese characters contain not only information, but also meaning. This may enhan...

Discovering and constructing the topological structure in data has attracted the attention within the community of data analysis. However, most methods developed so far are unsuitable for very large sets of data because of their computational difficulties. This paper presents a fast algorithm for constructing the inherent topological structure in large sets of data that might be noisy in order ...

This paper proposes a model for content-based retrieval of histopathology images. The most remarkable characteristic of the proposed model is that it is able to extract high-level features that reflect the semantic content of the images. This is accomplished by a semantic mapper that maps conventional low-level features to high-level features using state-of-the-art machine-learning techniques. ...