Publications
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A Nationally Representative Analysis of Naps in Child Care
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Low-Lying Electronic States and Revised Thermochemistry of TiCl, TiCl 2, and TiCl3
Thermochemical analyses of gaseous equilibrium data involving the species TiCl, TiCl2, and TiCl3 were revised with the aid of more recent information on the low-lying electronic states, yielding more reliable…
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Mapping, Navigation, and Learning for Off-Road Traversal
Abstract The challenge in the DARPA Learning Applied to Ground Robots (LAGR) project is to autonomously navigate a small robot using stereo vision as the main sensor. During this project,…
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Measuring How A College Education Lays The Foundation For “Thinking Like An Expert”
Introduction A college education has long been viewed as a way to improve students’ capacity to think critically and argue rationally. Yet cognitive psychologists and philosophers studying the development of…
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Nociceptin/Orphanin FQ Antagonists Ameliorate the Disease Pathogenesis During Inflammatory Bowel Disease
We evaluated the therapeutic potential of N/OFQ antagonists in C57Bl/6 mice in an IBD model after disease induction by treatment for 5 days with DSS, and subsequent observation of the…
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Prominent Role of alpha3/alpha6beta2* nAChRs in Regulating Evoked Dopamine Release in Primate Putamen: Effect of Long-Term Nicotine Treatment
Here, we used voltammetry to assess the role of nAChRs on evoked dopamine release from monkey putamen slices.
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Realizing Adaptive Instruction (Ad-In): the Convergence of Learning, Instruction, and Assessment
In this paper, we define adaptive instruction, or Ad-In, as applied to sophisticated skills development systems that target learning and assessment in a highly individualized and interactive manner.
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Teamwork in GPS-Denied Environments Fusion of Multi-Sensor Networks
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Back To The Future: A Non-Automated Method Of Constructing Transfer Models
In this paper, instead of applying automated and computationally intensive approaches, we simply start with existing hand-constructed transfer models at various levels of granularity and use them as a lens…
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An Attacker-Defender Game for Honeynets
We formalize the problem of defending honeynets from systematic mapping (a serious threat to their viability) as a simple two-person game.
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Constraint-Muse: a Soft-Constraint Based System for Music Therapy
We have developed a prototype tool for interactive music creation, called Constraint Muse, that uses monoidal soft constraints to ensure that a dynamically generated melody harmonizes with input from other…
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Efficient online learning and prediction of users’ desktop actions
We investigate prediction of users’ desktop activities in the Unix domain. We show that simple efficient many-class learning can perform well for action prediction, significantly improving over previously published results…