Publications
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High-Pressure Mineralogy of Shock Veins in Meteorites Does Constrain the Equilibrium Shock Pressure and Its Duration
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Messages for New Japanese Government from U.S. Science Community: Japan’s Challenges in Developing a Space Strategy and Restructuring Space Organizations
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Pharmacokinetics and Immunogenicity Assays for a Human Monoclonal Antibody Mixture Specific for Botulinum Neurotoxin A
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SLC6A3 and Body Mass Index in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial
We evaluated associations between polymorphisms at the dopamine transporter gene(SLC6A3) and body mass index (BMI), among participants in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial.
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Therapeutic Efficacy of a Melatonin Agonist, Ramelteon, and a Benzodiazepine, Triazolam, in a Mouse Genetic Model of Advanced Sleep Phase Syndrome
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Using Cognitive Interviews to Validate an Interpretive Argument for the ETS iSkills
In this work, we use an argument-based approach to assessment validation to investigate the extent to which iSkills test scores can support inferences about the ability of college students to…
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Interference Between Modalities as a Measure of Processing Inefficiency in Alcoholics
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Messages for New Japanese Government from U.S. Science Community: Lessons from the United States on Science and Technology Stimulus
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“Repo” Your Missing Data Using Proc Report
This paper covers the use of PROC REPORT to generate simple frequency counts and percents that include missing values.
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The KBMS Project and Beyond
In this paper, we review the key ideas introduced in the KBMS project, and connect them to some of the work since the conclusion of the project that is either…
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Anytime Lifted Belief Propagation
We present an algorithm, Anytime Lifted Belief Propagation, that corresponds to this intuition by performing shattering during belief propagation inference, on an as-needed basis, starting on the most relevant parts…
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Bottom-Up/Top-Down Image Parsing with Attribute Grammar
We present a simple attribute graph grammar as a generative representation for made-made scenes and studies an effective top-down/bottom-up inference algorithm for parsing images in the process of maximizing a…