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NIST only participates in the February and August reviews. Modern medicine is increasingly using biologics to treat disease. However, these proteins and nucleic acids are fragile and to work
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NIST only participates in the February and August reviews. The fire modeling community is actively working to develop the tools needed to quantitatively predict material and product flammability
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reviews. This research topic is not limited to the methods or techniques discussed below. We encourage interested researchers with diverse backgrounds and expertise in automation, mechanical
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electronics. New materials are continually being developed for electronic applications, and accurate measurements of the electromagnetic properties of these often complex new materials is critical both
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experiments used as the US national standards of the ohm, farad, and in the near future, the kilogram. Each of these complex experiments have opportunities for precision measurement research that can improve
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of the difficulty of producing membrane protein crystals of the quality required for high-resolution x-ray or neutron diffraction studies. Numerous approaches involving surfactant-based systems exploiting
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tools to enable early and accurate diagnoses of disease as well as studies to elucidate mechanisms and networks in complex biological systems. Project areas include biochemical/molecular biology process
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, such as selective labeling and contrast variation. Our second goal is to improve the accuracy with which solution scattering data of proteins and oligonucleotides can be predicted from the atomic
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platforms for treating disease. However, the complexity of their structure makes generating actionable predictions of critical quality attributes (CQAs) difficult. True advancement in making these predictions
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over time. Stem cell populations can be highly heterogeneous and can exhibit complex responses. Using quantitative imaging data on large numbers of live cells over time, we can construct potential