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NIST only participates in the February and August reviews. Metals-based additive manufacturing (AM) encompasses several different technologies that enable the controlled fusing, melting, and
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on but is not limited to the following areas: (1) security analysis on the existing lightweight cryptography algorithms, (2) performance measurements for different algorithms on different platforms with
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algorithms to improve methods for peptide identification from raw mass spectral data. The use of orthogonal information such as multi-enzyme digestions, to verify the presence of a peptide using different
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image correlation (DIC) datasets with fully three-dimensional finite element analysis (FEA) results in mechanical test setups on metals and polymers including uni-axial and bi-axial loading at different
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chromatography/mass spectrometry (LC-MS) measurements using principal component analysis, partial least squares, genetic algorithms, and other multivariate statistics. Current projects have accumulated a
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. Representative research areas of interest in systems biology and medicine are standards for sharing data across different hardware, software, operating systems, etc; tools that will aid in data collection at a
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to acquire different kinds of images on large numbers of iPS cells in culture; machine learning algorithms and other image analysis strategies may be used to extract and test image features as predictors