Publications
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Accelerated Aging of Selective Brain Structures in Human Immunodeficiency Virus Infection: A Controlled, Longitudinal Magnetic Resonance Imaging Study
Infected individuals are living long enough that there is a potential for interaction with normal senescence effects on various organ systems, including the brain. To examine this interaction, the brains…
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The EcoCyc Database
This review outlines the data content of EcoCyc and of the procedures by which this content is generated.
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Multi-source anomaly detection: using across-domain and across-time peer-group consistency checks
We present robust anomaly detection in multi-dimensional data.
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Methodology Considerations in School Mental Health Research
This paper reviews key steps needed to effectively study SMH research questions. Considerations around research designs, methods for describing effects and outcomes, issues in measurement of process and outcomes, and…
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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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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