Harshil Shah

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Proton pump inhibitors (PPIs) are effective antagonists of gastric acid secretion used to treat a number of gastroesophageal disorders, including dyspepsia, gastroesophageal reflux disease, Zollinger-Ellison syndrome, Barrett esophagus, and Helicobacter pylori infection of the upper gastrointestinal tract. Biologically, PPIs are administered as uncharged(More)
MOTIVATION We introduce Census 2, an update of a mass spectrometry data analysis tool for peptide/protein quantification. New features for analysis of isobaric labeling, such as Tandem Mass Tag (TMT) or Isobaric Tags for Relative and Absolute Quantification (iTRAQ), have been added in this version, including a reporter ion impurity correction, a reporter(More)
Yohannes T. Ghebremariam, Paea LePendu, Jerry C. Lee, Daniel A. Erlanson, Anna Slaviero, Nigam ADMA An Unexpected Effect of Proton Pump Inhibitors: Elevation of the Cardiovascular Risk Factor Print ISSN: 0009-7322. Online ISSN: 1524-4539 Copyright © 2013 American Heart Association, Inc. All rights reserved. is published by the American Heart Association,(More)
Planning for large-scale epidemiological outbreaks in livestock populations often involves executing compute-intensive disease spread simulations. To capture the probabilities of various outcomes, these simulations are executed several times over a collection of representative input scenarios, producing voluminous data. The resulting datasets contain(More)
Business Process Models use symbolic notations to represent business processes. Influenced by system engineering and mathematics, the application of these notations involves technical processes designed by engineers, undertaken by technically trained analysts for the use of largely technical people. However, the majority of business process stakeholders are(More)
Holonomic Robots are advantageous over non holonomic robots as they provide control to all of its degrees of freedom. Autonomous navigation of holonomic robots is expensive as it requires many costly odometry sensors. In this paper, a novel approach is proposed for the application of PID algorithm for autonomous navigation by reducing the complexity of 3(More)
The ability to fit complex generative probabilistic models to data is a key challenge in AI. Currently, variational methods are popular, but remain difficult to train due to high variance of the sampling methods employed. We introduce the overdispersed variational autoencoder and overdispersed importance weighted autoencoder, which combine overdispersed(More)