Publications
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Microfabricated Field Emitter Arrays for Electron and Ion Emission
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How Do We Certify for the Unexpected?
We propose that safety cases based on explicit goals, evidence, and argument provide a firmer foundation for assurance, and a framework within which it is possible to address the rare…
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Learning diagnostic models using speech and language measures
We describe results that show the effectiveness of machine learning in the automatic diagnosis of certain neurodegenerative diseases, several of which alter speech and language production. We analyzed audio from…
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Ground-Level Nitrogen Dioxide Concentrations Inferred from the Satellite-Borne Ozone Monitoring Instrument
We present an approach to infer ground-level NO2 concentrations by applying local scaling factors from a global three-dimensional model to tropospheric NO2 columns retrieved from the Ozone Monitoring Instrument onboard the…
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Imaging Atom-Probe Studies of a Field Evaporation Based Deuterium Ion Source for Neutron Generators
Extended abstract of a paper presented at Microscopy and Microanalysis 2008 in Albuquerque, New Mexico, USA, August 3 – August 7, 2008
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The Assistment Builder: Supporting The Life-Cycle Of ITS Content Creation
We present an authoring tool designed to reduce this cost. The ASSISTment Builder is a tool that is designed to effectively create, edit, test, and deploy pseudo-tutor content. The web-based…
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Comparing Two Strains of Rats in the Chronic Construction Injury Model of Neuropathic Pain
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Formal Verification and Automated Testing for Diagnostic and Monitoring Systems
In this paper, we outline these new methods, and describe a project to extend and apply them in combination to issues in verification and testing of diagnostic and monitoring systems.
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Genetic Association of Daytime Sleepiness and Depressive Symptoms in Elderly Men
The objective of this study was to examine whether daytime sleepiness assessed using the Epworth Sleepiness Scale and depressive symptoms assessed using the Geriatric Depression Scale are genetically related.
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Improving alignments for better confusion networks for combining machine translation systems
The state-of-the-art system combination method for machine translation (MT) is the word-based combination using confusion networks. One of the crucial steps in confusion network decoding is the alignment of different…
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San Francisco Bay Area KIPP Schools, A Study of Early Implementation and Achievement: Final Report
This report describes the implementation and impact of the Knowledge Is Power Program (KIPP) in five Bay Area middle schools.
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Detoxification of Molinate Sulfoxide: Comparison of Spontaneous and Enzmatic Glutathione Conjugation Using Human and Rat Liver Cytosol
This study compared the metabolic capability of rat and human liver cytosol to form a glutathione (GSH)-conjugated metabolite of molinate.