يعرض 21 - 40 نتائج من 1,714 نتيجة بحث عن '(( significantly ((linear decrease) OR (teer decrease)) ) OR ( significantly longer decrease ))', وقت الاستعلام: 0.47s تنقيح النتائج
  1. 21
  2. 22

    The results of linear mixed model. حسب Soheila Qanbari (20455173)

    منشور في 2024
    الموضوعات:
  3. 23
  4. 24
  5. 25

    Data. حسب Aroon La-up (14095691)

    منشور في 2025
    الموضوعات:
  6. 26

    The effect of HA digestion and HA replenishment alone or with CS on barrier function measured by TEER. حسب Charlotte J. van Ginkel (20790466)

    منشور في 2025
    "…PS decreased TEER. (C) Different treatments (treatment groups n = 8)with HA and/or CS did not affect TEER recovery after PS treatment, full recovery was seen in all groups after 24 hours. …"
  7. 27

    Multiple linear regression analysis results. حسب Muxi Chen (9294270)

    منشور في 2025
    الموضوعات:
  8. 28
  9. 29
  10. 30
  11. 31

    Significant condition. حسب Junxia Zhou (14381598)

    منشور في 2024
    "…BET and SEM analyses demonstrated that the specific surface area and porosity (most probable pore size) gradually decreased over time. At various ages, mesopores (cumulative pore diameter, median pore diameter) initially increased and then decreased. …"
  12. 32
  13. 33
  14. 34
  15. 35
  16. 36
  17. 37
  18. 38
  19. 39

    Detailed information of the observation datasets. حسب Weidong Ji (129916)

    منشور في 2025
    "…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…"
  20. 40

    General technical specification for GW154/6700. حسب Weidong Ji (129916)

    منشور في 2025
    "…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…"