Search alternatives:
increase decrease » increased release (Expand Search)
waste processing » data processing (Expand Search), image processing (Expand Search), wood processing (Expand Search)
anti processing » ai processing (Expand Search), antigen processing (Expand Search), plant processing (Expand Search)
increase decrease » increased release (Expand Search)
waste processing » data processing (Expand Search), image processing (Expand Search), wood processing (Expand Search)
anti processing » ai processing (Expand Search), antigen processing (Expand Search), plant processing (Expand Search)
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Aluminum dissolution processing for high-level waste sludges
Published 2024“…By volume, the largest insoluble component of sludge is aluminum much of which is in the Southeast quadrant and resulted from de-cladding waste from the PUREX process. The largest single component within these tanks is Gibbsite, Al(OH)<sub>3</sub>, which poses significant challenges for processing due to the fast-settling times and high solids loading associated with this material. …”
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Decreased regulatory T cells and increased monocytes are observed in peripheral blood of obese mice.
Published 2022Subjects: -
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Proteins from volcano plot which had notable increases or decreases listed in order of greatest to least significance (adjusted p-values).
Published 2022“…<p>Proteins from volcano plot which had notable increases or decreases listed in order of greatest to least significance (adjusted p-values).…”
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Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts.
Published 2025“…<p>Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts.…”
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Anti-jamming communication process.
Published 2025“…Experiments show that the proposed model achieves an accuracy rate of 95.23% in identifying interference signals and an anti-interference accuracy rate of 85.47%, significantly outperforming random forest and deep Q-network models. …”