Author: SRI International
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Alcohol’s Effects on Brain and Behavior
One main area of this research has focused on the neuropsychological sequelae of alcoholism, which has resulted in the description of a pattern of sparing and impairment that provided an essential understanding of the functional deficits as well as of spared capabilities that could be useful in recovery.
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Designing Large-Scale Science Assessment Tasks For Students With High-Incidence Disabilities: The Use Of Evidence-Centered Design, Design Patterns, And Universal Design For Learning
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Discovery of Numerous Specific Topics Via Term Co-Occurrence Analysis
We describe efficient techniques for construction of large term co-occurrence graphs, and investigate an application to the discovery of numerous fine-grained (specific) topics.
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Editorial the Future of Sensors and Instrumentation for Human Breath Analysis
This Special Topics Issue provides an overview of currently explored sensing techniques and methods that are being researched and developed in academic and industrial settings.
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Evaluation of Programs and Continuum of Service, 2009-10
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Folate Receptor Targeted Nanophosphors for Enhanced Tumor Radiotherapy
Here we present a folic acid (FA) conjugated nanophosphor (NP) intended to enhance the therapeutic effect of radiotherapy by augmenting the production of reactive oxygen species with simultaneous photodynamic therapy (PDT).
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Switching Logic Synthesis for Reachability
We consider the problem of driving a system from some initial configuration to a desired configuration while avoiding some unsafe configurations.
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Using Data Mining Findings to Aid Searching for Better Cognitive Models
We propose a hybrid approach in which we leverage findings from our previous educational data mining work to aid the search for a better cognitive model and thus, improve the efficiency of LFA.
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21st Century Skills in STEM Workforce Training Assessments
What skills do tech employers seek? A scenario-based learning approach for teaching STEM tech education is posited.
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Bayesian Minimax Estimation of the Normal Model with Incomplete Prior Covariance Matrix Specification
This work addresses the issue of Bayesian robustness in the multivariate normal model when the prior covariance matrix is not completely specified, but rather is described in terms of positive semi-definite bounds.
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Gibbs Sampling in Open-Universe Stochastic Languages
This paper goes some way to remedying this deficit by introducing, and proving correct, a generalization of Gibbs sampling to partial worlds with possibly varying model structure.
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Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized By Abnormalities in PDGFRA, IDH1, EGFR, and NF1
We provide a framework that unifies transcriptomic and genomic dimensions for GBM molecular stratification with important implications for future studies.