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Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often unrealistic assumptions on the conditional independence of observations given ...
The olfactory system is a highly specialized chemodetector capable of discriminating between thousands of volatile chemical substances. This enormous capacity of chemical recognition is based on a large family of olfactory receptors (ORs). Despite the fact ...
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often unrealistic assumptions on the conditional independence of observations given ...
Protein folding stands as one of the major interdisciplinary challenges of the last ten years, involving biology, chemistry, medicine and physics. In this PhD thesis, we investigate the solvent effects and the resulting hydrophobic effect on proteins. In p ...
Two-phase flow of gases and liquids or vapors and liquids in pipes, channels, equipment, etc. is frequently encountered in industry and has been studied intensively for many years. The reliable prediction of pressure drop in two-phase flow is thereby an im ...
A review discusses the basic concepts of the Car-Parrinello method, some of the recent methodol. extensions, focusing on aspects with potential interest for applications in medicinal chem., and the advantages and limitations of new modeling tools. ...
The specialized type III secretion (T3S) apparatus of pathogenic and symbiotic Gram-negative bacteria comprises a complex transmembrane organelle and an ATPase homologous to the F-1-ATPase beta subunit. The T3S ATPase HrcN of Pseudomonas syringae associate ...
Modern speech recognition has many ways of quantifying the misrecognitions a speech recognizer makes. The errors in modern speech recognition makes extensive use of the Levenshtein algorithm to find the distance between the labeled target and the recognize ...
The reliable prediction of pressure drop in two-phase flow is an important prerequisite to accurate optimization of thermal systems. Because of the complexity of these types of flow, empirical or semiempirical relationships are only of limited reliability ...
We present a series of experiments concerned with the inspection of regular, engineered structures carried out using swarms of five to twenty autonomous, miniature robots, solely endowed with onboard, local sensors. Individual robot controllers are behavio ...