يعرض 701 - 720 نتائج من 8,689 نتيجة بحث عن 'significant ((((((we decrease) OR (nn decrease))) OR (teer decrease))) OR (mean decrease))', وقت الاستعلام: 0.50s تنقيح النتائج
  1. 701
  2. 702
  3. 703
  4. 704

    Maternal stroke volume. حسب Pedro Henrique Salles Brito (10441343)

    منشور في 2024
    الموضوعات:
  5. 705

    Maternal heart rate. حسب Pedro Henrique Salles Brito (10441343)

    منشور في 2024
    الموضوعات:
  6. 706

    Fetal heart rate. حسب Pedro Henrique Salles Brito (10441343)

    منشور في 2024
    الموضوعات:
  7. 707
  8. 708
  9. 709

    Maternal cardiac output. حسب Pedro Henrique Salles Brito (10441343)

    منشور في 2024
    الموضوعات:
  10. 710

    Maternal blood pH. حسب Pedro Henrique Salles Brito (10441343)

    منشور في 2024
    الموضوعات:
  11. 711

    Maternal blood pO2. حسب Pedro Henrique Salles Brito (10441343)

    منشور في 2024
    الموضوعات:
  12. 712
  13. 713

    Multi-organ differential gene expression changes statistically significant at hypertension onset. حسب Eden Hornung (20148295)

    منشور في 2024
    "…<i>Tgfb1</i> is significantly decreased in male SHR kidney compared to female at 16 weeks of age (p = 0.004). …"
  14. 714

    Key safety measures including adverse events. حسب Anuja Dokras (8679261)

    منشور في 2025
    "…Waist circumference (mean change (MC) −2.23 cm; 95% CI [−3.98, −0.49]; <i>p</i> = 0.01), BMI (MC −0.49 kg/m<sup>2</sup>; 95% CI [−0.88, −0.10[; <i>p</i> = 0.01), and android fat mass measured by DXA (MC −167 g; 95% CI [−264, −71[; <i>p</i> < 0.001) decreased in the COCP group over the study period whilst there was no statistically significant changes in these parameters in the metformin only group when compared to baseline.. …"
  15. 715

    Structure diagram of ensemble model. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  16. 716

    Fitting formula parameter table. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  17. 717

    Test plan. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  18. 718

    Fitting surface parameters. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  19. 719

    Model generalisation validation error analysis. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  20. 720

    Empirical model prediction error analysis. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"