يعرض 4,061 - 4,080 نتائج من 21,342 نتيجة بحث عن '(( significant ((degs decrease) OR (greater decrease)) ) OR ( significant decrease decrease ))', وقت الاستعلام: 0.58s تنقيح النتائج
  1. 4061

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

    منشور في 2024
    الموضوعات:
  2. 4062
  3. 4063
  4. 4064
  5. 4065
  6. 4066

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

    منشور في 2024
    الموضوعات:
  7. 4067
  8. 4068

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

    منشور في 2025
    الموضوعات:
  9. 4069
  10. 4070

    Table3_Physiological characteristics and transcriptomic analyses of alfalfa root crown in wintering.docx حسب Xiaolong Wang (20235)

    منشور في 2024
    "…Among them, 463 DEGs showed an increase in expression, whereas 415 DEGs showed a decrease in expression. …"
  11. 4071

    Table1_Physiological characteristics and transcriptomic analyses of alfalfa root crown in wintering.docx حسب Xiaolong Wang (20235)

    منشور في 2024
    "…Among them, 463 DEGs showed an increase in expression, whereas 415 DEGs showed a decrease in expression. …"
  12. 4072

    Table2_Physiological characteristics and transcriptomic analyses of alfalfa root crown in wintering.docx حسب Xiaolong Wang (20235)

    منشور في 2024
    "…Among them, 463 DEGs showed an increase in expression, whereas 415 DEGs showed a decrease in expression. …"
  13. 4073
  14. 4074
  15. 4075
  16. 4076
  17. 4077
  18. 4078
  19. 4079

    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. …"
  20. 4080

    Pseudo code for coupling model execution process. 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. …"