Publications
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Articulatory Features from Deep Neural Networks and Their Role in Speech Recognition
This paper presents a deep neural network (DNN) to extract articulatory information from the speech signal and explores different ways to use such information in a continuous speech recognition task.
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Effect of Bitopertin, a Glycine Reuptake Inhibitor, on Negative Symptoms of Schizophrenia: A Randomized, Double-Blind, Proof-of-Concept Study
Our objective is to determine the efficacy and safety of bitopertin (RG1678), a glycine reuptake inhibitor, in patients with schizophrenia and predominant negative symptoms who were stable while taking an…
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Efficiently Gap-Filling Reaction Networks
We present a computational technique, called FastGapFilling, that efficiently completes a reaction network by using only Linear Programming, not MILP.
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Sample Collection in Clinical Proteomics – Proteolytic Activity Profile of Serum and Plasma
We utilized the platform to ascertain the impact of three commonly used anticoagulants (EDTA, heparin, and citrate) on the proteolytic activity profile of plasma and serum collected from a healthy…
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Permeability Enhancing Lipid-Based Co-Solvent and SEDDS Formulations of SQ641, an Antimycobacterial Agent
The objective of this study was to develop an oral preclinical liquid formulation of SQ641 and to determine the permeability across rat intestinal tissue by Ussing chamber.
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The Acute and Chronic Effects of Alcohol Consumption on Sleep Architecture in College Aged Students
This study examined the effect of alcohol on sleep architecture in women and men aged 18 to 21 years and whether previously reported sleep architecture effects may have been as…
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Time to Smoke First Morning Cigarette and Lung Cancer in a Case-Control Study
We evaluated whether time to first cigarette after waking, a single-item measure of nicotine dependency, could improve stratification of lung cancer risk beyond standard smoking metrics.
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A Framework for Application of Metabolic Modeling in Yeast to Predict the Effects of Nssnv in Human Orthologs
Here we present the next step in the workflow toward using yeast metabolic modeling to predict human metabolic behavior resulting from nsSNV.
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Application of Convolutional Neural Networks to Language Identification in Noisy Conditions
This paper proposes two novel frontends for robust language identification (LID) using a convolutional neural network (CNN) trained for automatic speech recognition (ASR).
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Using Analytics for Improving Implementation Fidelity in a Large Scale Efficacy Trial
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Brain Connectivity Changes over Time in Alcoholism
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Deuterium Protection of Polyunsaturated Fatty Acids against Lipid Peroxidation: A Novel Approach to Mitigating Mitochondrial Neurological Diseases
Oxidative stress is associated with numerous neurological disorders. Mitochondrial malfunction contributes to generation of reactive oxygen species (ROS) in proximity to mitochondrial membranes rich in polyunsaturated fatty acids (PUFAs). ROS…