يعرض 3,981 - 4,000 نتائج من 21,342 نتيجة بحث عن '(( significantly ((nn decrease) OR (greater decrease)) ) OR ( significant decrease decrease ))', وقت الاستعلام: 0.35s تنقيح النتائج
  1. 3981
  2. 3982

    List of triathlon events analyzed. حسب Junhui Zhao (626062)

    منشور في 2024
    الموضوعات:
  3. 3983
  4. 3984
  5. 3985
  6. 3986
  7. 3987

    Flow diagram of study participants. حسب Yushan Shi (16440272)

    منشور في 2024
    الموضوعات:
  8. 3988
  9. 3989

    Setting up for VFSS image. حسب Rie Asayama (693361)

    منشور في 2025
    الموضوعات:
  10. 3990
  11. 3991
  12. 3992
  13. 3993
  14. 3994

    Top 10 significant functional annotations of up-regulated DEGs. حسب Meitner Cadena (22216261)

    منشور في 2025
    "…Functional annotations are ordered by decreasing significance, with color indicating significance according to the legend’s color scale, the ratio of genes on the horizontal axis, and DEG count represented by circle size.…"
  15. 3995

    Top 10 significant functional annotations of down-regulated DEGs. حسب Meitner Cadena (22216261)

    منشور في 2025
    "…Functional annotations are ordered by decreasing significance, with color indicating significance level based on the legend’s color scale, the ratio of genes on the horizontal axis, and DEG count represented by circle size.…"
  16. 3996
  17. 3997
  18. 3998
  19. 3999
  20. 4000

    Major hyperparameters of RF-SVR. حسب Jintao Li (448681)

    منشور في 2024
    "…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"