Showing 421 - 440 results of 21,342 for search '(( significant decrease decrease ) OR ( significance ((tests decrease) OR (greatest decrease)) ))', query time: 0.49s Refine Results
  1. 421

    Test specimen. by Quan Shen (37564)

    Published 2025
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    Test apparatus. by Sara Hintze (3216885)

    Published 2024
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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. by Gillian P. McHugo (8965919)

    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.…”
  9. 429

    Nineteen SNPs with significant association (<i>P < </i>5 × 10<sup>−8</sup>) with risk on minJSW decrease in knee OA. by Mieke L. M. Bentvelzen (21594442)

    Published 2025
    “…<p>Nineteen SNPs with significant association (<i>P < </i>5 × 10<sup>−8</sup>) with risk on minJSW decrease in knee OA.…”
  10. 430

    Data Sheet 1_Elevated relative humidity significantly decreases cannabinoid concentrations while delaying flowering development in Cannabis sativa L..docx by Ingrid Carolina Corredor-Perilla (22631510)

    Published 2025
    “…Furthermore, high RH significantly suppressed cannabinoid accumulation: cannabidiolic acid (CBD-A), cannabidiol (CBD), and cannabichromenic acid (CBC-A) levels decreased by approximately 4.9-fold, 3.2-fold, and 13-fold, respectively. …”
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    Testing set error. by Xiangjuan Liu (618000)

    Published 2025
    “…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”
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