Publications
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Special Issue on Embedded Vision
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The Metal-Responsive Transcription Factor-1 Protein Is Elevated in Human Tumors
In the present study, we investigated MTF-1 protein expression in human tissues by specific immunostaining of both normal and tumor tissue samples.
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Dynamic Variability in F-Region Ionospheric Composition at Auroral Arc Boundaries
The work presents a data-model synthesis examining the response of the auroral F-region ion temperature, composition, and density to short time scale (
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Patterns of Gene Expression in the Ductus Arteriosus Are Related to Environmental and Genetic Risk Factors for Persistent Ductus Patency
Three independent risk factors are associated with patent ductus arteriosus that fail to close during prostaglandin inhibition.
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Performance and Extension of User Space File Systems
In this paper, we discuss the evolution of user space file systems with an emphasis on FUSE, and measure its performance using a variety of test cases.
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Reduced Prefrontal Responsiveness to Alcohol Stimuli in Chronic Alcoholism
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Adapting Mindfulness-Based Stress Reduction to the Positive Youth Development Setting: A Pilot Study
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Shewanella knowledgebase: integration of the experimental data and computational predictions suggests a biological role for transcription of intergenic regions
The Shewanella knowledgebase was established in 2005 to provide a framework for integrated genome-based studies on Shewanella ecophysiology.
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A Categorization of KR&R Methods for Requirement Analysis of a Query Answering Knowledge Base
Our long-term goal is to build a query answering system that can answer questions on a wide variety of topics and explain the answers.
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Using DNA Fingerprints to Infer Familial Relationships Within NHANES III Households
We inferred family relationships within households using DNA fingerprints (Identifiler®) that contain the DNA loci used by law enforcement agencies for forensic identification of individuals.
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Dynamically Driven Helmholtz Cage for Experimental Magnetic Attitude Determination
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Machine Learning Methods for Metabolic Pathway Prediction
ML methods for pathway prediction perform as well as existing methods, and have qualitative advantages in terms of extensibility, tunability, and explainability.