Showing 381 - 400 results of 21,342 for search '(( significant decrease decrease ) OR ( significance ((tests decrease) OR (teer decrease)) ))*', query time: 0.52s Refine Results
  1. 381
  2. 382
  3. 383

    Test specimen. by Quan Shen (37564)

    Published 2025
    Subjects:
  4. 384
  5. 385
  6. 386

    Test apparatus. by Sara Hintze (3216885)

    Published 2024
    Subjects:
  7. 387
  8. 388
  9. 389
  10. 390

    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.…”
  11. 391

    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.…”
  12. 392

    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. …”
  13. 393
  14. 394
  15. 395

    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). …”
  16. 396
  17. 397
  18. 398
  19. 399
  20. 400