Publications
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Disruption of Top-Down and Bottom-Up Processes in Alcoholics: a Functional Magnetic Resonance Imaging Study
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Identification of Novel Cyp2A6*1B Variants: the Cyp2A6*1B Allele Is Associated with Faster in Vivo Nicotine Metabolism
We report evidence that CYP2A6*1B genotype is associated with faster nicotine clearance in vivo, which will be important to future CYP2A6 genotype association studies.
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La Educacion En Ciencia Y Technologia Comp Derecho Social En La Economia Del Conocimiento
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Low Striatal Glutamate Levels Underlie Cognitive Decline in the Elderly: Evidence from in Vivo Molecular Spectroscopy
Here, we used a spectroscopic protocol, optimized for Glu detection, to examine the effect of age in 3 brain regions targeted by cortical efferents—the striatum, cerebellum, and pons—and to test…
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Observations of Artificial and Natural Optical Emissions at the HAARP Facility
Extensive optical observations have been carried out at the High Frequency Active Auroral Research Program (HAARP) ionospheric heating facility since it began operations in 1999.
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RADAR: a Personal Assistant That Learns to Reduce Email Overload
This paper describes the integration of diverse AI technologies and presents results from human evaluation studies comparing RADAR user performance to unaided COTS tool users and users partnered with a…
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Analyzing a Discrete Model of Aplysia Central Pattern Generator
We present a discrete formal model of the central pattern generator (CPG) located in the buccal ganglia of Aplysia that is responsible for mediating the rhythmic movements of its foregut…
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Volume Reconstruction By Inverse Interpolation: Application to Interleaved MR Motion Correction
We introduce in this work a novel algorithm for volume reconstruction from data acquired on an irregular grid, e.g., from multiple co-registered images.
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Who is to Blame if Snoring Becomes a Problem?
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Deciding Entailment and Contradiction with Stochastic and Edit Distance-based Alignment.
We use typed dependency graphs generated by the Stanford parser (Klein and Manning, 2003; de Marneffe et al., 2006), which contain a node for each word and labeled edges representing…
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Error-Driven Generalist+Experts (EDGE): a Multi-Stage Ensemble Framework for Text Categorization
We introduce a multi-stage ensemble framework, Error-Driven Generalist+ Expert or Edge, for improved classification on large-scale text categorization problems.
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Generating Box Invariants
This paper also shows that the class of multiaffine systems, which has been used successfully for modeling and analyzing regulatory and biochemical reaction networks, can be generalized to the class…