Author: SRI International
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A Cross-language Study on Automatic Speech Disfluency Detection
We investigate two systems for automatic disfluency detection on English and Mandarin conversational speech data. The first system combines various lexical and prosodic features in a Conditional Random Field model for detecting edit disfluencies.
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Designing for Deeper Learning in a Blended Computer Science Course for Middle School Students
The focus of this research was to create and test an introductory computer science course for middle school. Titled “Foundations for Advancing Computational Thinking” (FACT), the course aims to prepare and motivate middle school learners for future engagement with algorithmic problem solving.
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Evaluation of the California Community College Linked Learning Initiative: Second Year Report
SRI’s evaluation of the California Community College Linked Learning Initiative addressed implementation issues and institutional and student outcomes work to use the Linked Learning approach to improve college transitions and success.
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Evaluation of the California Community College Linked Learning Initiative: Second Year Report: Executive Summary
SRI’s evaluation of the California Community College Linked Learning Initiative addressed implementation issues and institutional and student outcomes work by three community colleges to use the Linked Learning approach to improve college transitions and success.
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Pharmacological Characterization of RO5461861, a Potent and Selective PDE10A Inhibitor
We describe the characterization of a new class of potent PDE10A inhibitors exemplified by 4-(Azetidine-1 -carbonyl)-2-methyl-2-H-pyrazole-3-carboxylic acid (2-phenylimidazo[1,2-a]pyrimidin-7-yl)-amide (RO5461861) in vitro as well as in behavioral tests relevant to NMDA-R hypofunction and working memory.
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Biomarkers of Response to Smoking Cessation Pharmacotherapies: Progress to Date
Recent research has begun to determine biomarkers (such as genotype, nicotine and metabolite levels, and brain imaging findings) that may have utility in predicting smoking cessation.
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Snap-N-Eat: Food Recognition and Nutrition Estimation on a Smartphone
We present snap-n-eat, a mobile food recognition system. The system can recognize food and estimate the calorific and nutrition content of foods automatically without any user intervention.
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High Frequency Neuronal Oscillations in a Cynomolgus Macaque Test of Working Memory Following NMDA Receptor Antagonism
Disruptions in sensory processing and abnormal temporal integration of neuronal oscillations have been identified in schizophrenic patients and may contribute to poor performance in working memory task testing.
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Weakness in Depth: A Voting Machine’s Demise
Virginia’s government recently examined the AVS WinVote and learned that the vulnerabilities are more serious than any other voting system, allowing complete exploitation over a Wi-Fi network.
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Assessments for Computational Thinking in K-12
This paper argues for the need for multiple measures or “systems of assessments” that are complementary, attend to cognitive and non-cognitive aspects of CT, and contribute to a comprehensive picture of student learning.
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Anomaly Detection and Diagnosis for Automatic Radio Network Verification
This paper focuses on the verification problem, proposing a novel framework that uses anomaly detection and diagnosis techniques that operate within a specified spatial scope.
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Biodistribution of the Multidentate Hydroxypyridinonate Ligand [(14) C]-3,4,3-Li(1,2-HOPO), a Potent Actinide Decorporation Agent
The pharmacokinetics and biodistribution of the 14C-labeled actinide decorporation agent 3,4,3-LI(1,2-HOPO) were investigated in young adult Swiss Webster mice and Sprague Dawley rats, after intravenous, intraperitoneal, and oral dose administration.