Showing 3,061 - 3,080 results of 14,107 for search '(( significant decrease decrease ) OR ( significantly ((i decrease) OR (a decrease)) ))~', query time: 0.74s Refine Results
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    Hierarchical Copper Nanostructures with Patterned Nanocone Islands for Enhanced FC-72 Boiling Heat Transfer Performance by Zhiqiang Gao (174499)

    Published 2025
    “…Structural modification yielded hybrid patterned island structures with a significantly enhanced performance. Both the experimental and theoretical analyses revealed the dual role of microcavity structures during the thermal process: they simultaneously (i) promote bubble nucleation, reduce the onset of nucleate boiling (ONB) superheat, and enhance heat transfer coefficient (HTC), while (ii) excessive bubble generation induces rapid coalescence into vapor films, causing premature dry-out and significant critical heat flux (CHF) degradation. …”
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    Demographics of the enrolled patients. by Yuka Kasai (21354922)

    Published 2025
    “…In terms of corrected visual acuity, the included patients had a logMAR score of at least 1 in at least one eye. …”
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    Overhead view of the eye drop aid. by Yuka Kasai (21354922)

    Published 2025
    “…In terms of corrected visual acuity, the included patients had a logMAR score of at least 1 in at least one eye. …”
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    GSVA results. by Wan-Jing Zhen (20427813)

    Published 2024
    “…Diagnostic models incorporating five genes (NOX4, PDHB, ACTC1, DLAT, NSDHL) were validated using the LASSO algorithm, highlighting only the prognostic significance of serum PDHB levels in predicting the survival of septic patients. …”
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    Differential expressed genes. by Wan-Jing Zhen (20427813)

    Published 2024
    “…Diagnostic models incorporating five genes (NOX4, PDHB, ACTC1, DLAT, NSDHL) were validated using the LASSO algorithm, highlighting only the prognostic significance of serum PDHB levels in predicting the survival of septic patients. …”
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    Venn plot. by Wan-Jing Zhen (20427813)

    Published 2024
    “…Diagnostic models incorporating five genes (NOX4, PDHB, ACTC1, DLAT, NSDHL) were validated using the LASSO algorithm, highlighting only the prognostic significance of serum PDHB levels in predicting the survival of septic patients. …”