Gene Expression Tiling Array Technology – A Steppingstone to Modern Genome Science at NASA
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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Required, recommended, and optional features are discussed that benefit preparation and evaluation of the load prediction equations in a strain-gage balance data analysis tool. First, milestones in the evolution of load prediction methods are reviewed so that suggested features can be put into a historical context. Afterwards, independent and dependent variable choices for the balance data analysis are discussed. Then, it is illustrated how three different metrics may be used for the identification of the root cause of an unwanted divergence of the load iterations that may be observed during an iterative load prediction. Finally, a list of features is provided to guide software development efforts.
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Presented at SOLAR 2014, 6-10 July 2014, San Francisco, California
Abstract Not Provided
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This case study describes a DOE Zero Energy Ready Home in Seattle, WA, that scored HERS 42 without PV and a -1 with PV. This 3,192 ft2 custom home has 6-inch SIP walls, a 12-inch SIP roof, an R-28 ICF-insulated foundation slab edge with R-20 rigid foam under the slab; an air-to-water heat pump plus radiant floor heat; 100% LED lighting; filtered-fan-powered fresh air intake; triple-pane windows, 9.7 kWh PV for electric car charging station.