4 research outputs found
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Structured Assessment Approach: a microcomputer-based insider-vulnerability analysis tool
The Structured Assessment Approach (SAA) was developed to help assess the vulnerability of safeguards systems to insiders in a staged manner. For physical security systems, the SAA identifies possible diversion paths which are not safeguarded under various facility operating conditions and insiders who could defeat the system via direct access, collusion or indirect tampering. For material control and accounting systems, the SAA identifies those who could block the detection of a material loss or diversion via data falsification or equipment tampering. The SAA, originally desinged to run on a mainframe computer, has been converted to run on a personal computer. Many features have been added to simplify and facilitate its use for conducting vulnerability analysis. For example, the SAA input, which is a text-like data file, is easily readable and can provide documentation of facility safeguards and assumptions used for the analysis
Genetic clustering on the hippocampal surface for genome-wide association studies
Imaging genetics aims to discover how variants in the human genome influence brain measures derived from images. Genome-wide association scans (GWAS) can screen the genome for common differences in our DNA that relate to brain measures. In small samples, GWAS has low power as individual gene effects are weak and one must also correct for multiple comparisons across the genome and the image. Here we extend recent work on genetic clustering of images, to analyze surface-based models of anatomy using GWAS. We performed spherical harmonic analysis of hippocampal surfaces, automatically extracted from brain MRI scans of 1254 subjects. We clustered hippocampal surface regions with common genetic influences by examining genetic correlations (rg) between the normalized deformation values at all pairs of surface points. Using genetic correlations to cluster surface measures, we were able to boost effect sizes for genetic associations, compared to clustering with traditional phenotypic correlations using Pearson's r
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Structured Assessment Approach: a procedure for the assessment of fuel cycle safeguard systems
Lawrence Livermore National Laboratory has developed and tested for the United States Nuclear Regulatory Commission a procedure for the evaluation of Material Control and Accounting (MC and A) Systems at Nuclear Fuel Facilities. This procedure, called the Structured Assessment Approach, SAA, subjects the MC and A system at a facility to a series of increasingly sophisticated adversaries and strategies. A fully integrated version of the computer codes which assist the analyst in this assessment was made available in October, 1979. The concepts of the SAA and the results of the assessment of a hypothetical but typical facility are presented