Showing 1,881 - 1,900 results of 7,173 for search 'significant ((((((shape decrease) OR (we decrease))) OR (nn decrease))) OR (small decrease))', query time: 0.56s Refine Results
  1. 1881

    Raw data 6–9 and 15. by Fateme Khorramroo (18086501)

    Published 2025
    “…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”
  2. 1882

    Raw data 1–5. by Fateme Khorramroo (18086501)

    Published 2025
    “…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”
  3. 1883

    Raw data 10–14. by Fateme Khorramroo (18086501)

    Published 2025
    “…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”
  4. 1884

    Coordination angle during running. by Fateme Khorramroo (18086501)

    Published 2025
    “…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”
  5. 1885

    Gait retraining with biofeedback. by Fateme Khorramroo (18086501)

    Published 2025
    “…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”
  6. 1886

    Coordination angle during walking. by Fateme Khorramroo (18086501)

    Published 2025
    “…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”
  7. 1887
  8. 1888

    Neurochemical identity of dFB<sup>23E10</sup>Ո<sup>84C10</sup> neurons. by Joseph D. Jones (13883524)

    Published 2025
    “…A Kruskal–Wallis ANOVA followed by Dunn’s multiple comparisons revealed that acutely silencing VGlut-AD; 84C10-DBD and 84C10-AD; ChAT-DBD neurons significantly decreases sleep. ****<i>P</i> < 0.0001. …”
  9. 1889

    Chronic hyperpolarization of dFB<sup>23E10</sup>Ո<sup>84C10</sup> neurons promotes sleep and impairs sleep homeostasis. by Joseph D. Jones (13883524)

    Published 2025
    “…Two-tailed Mann–Whitney U tests revealed that sleep rebound is significantly decreased at all time points between controls and <i>dFB-Split>UAS-Kir2.1</i> female flies. …”
  10. 1890

    List of the cells used in this study. by Carsten Alexander Baltes (22190513)

    Published 2025
    “…We found no significant change in contractility after MiuA treatment. …”
  11. 1891

    S1 Data - by Amani S. Alghamdi (20500935)

    Published 2025
    “…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”
  12. 1892

    S1 Appendix - by Amani S. Alghamdi (20500935)

    Published 2025
    “…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”
  13. 1893

    Estimated CDFs for the recovered cases data. by Amani S. Alghamdi (20500935)

    Published 2025
    “…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”
  14. 1894

    S2 Data - by Amani S. Alghamdi (20500935)

    Published 2025
    “…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”
  15. 1895

    The infected data of Saudi Arabia for 65 days. by Amani S. Alghamdi (20500935)

    Published 2025
    “…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”
  16. 1896

    The recovered data of Saudi Arabia for 65 days. by Amani S. Alghamdi (20500935)

    Published 2025
    “…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”
  17. 1897

    Antibodies used in this study. by Kevin J. Kokesh (19859571)

    Published 2024
    “…This leads to hyperabsorption of sodium and fluid from the airway, dehydrated mucus, and an increased risk of respiratory infections. In this study, we performed a proteomic assessment of differentially regulated proteins from CF and non-CF small airway epithelial cells (SAEC) that are sensitive to <i>Mycobacterium avium</i>. …”
  18. 1898

    Time and flowrate used for proteomics. by Kevin J. Kokesh (19859571)

    Published 2024
    “…This leads to hyperabsorption of sodium and fluid from the airway, dehydrated mucus, and an increased risk of respiratory infections. In this study, we performed a proteomic assessment of differentially regulated proteins from CF and non-CF small airway epithelial cells (SAEC) that are sensitive to <i>Mycobacterium avium</i>. …”
  19. 1899

    S1 Graphical abstract - by Kevin J. Kokesh (19859571)

    Published 2024
    “…This leads to hyperabsorption of sodium and fluid from the airway, dehydrated mucus, and an increased risk of respiratory infections. In this study, we performed a proteomic assessment of differentially regulated proteins from CF and non-CF small airway epithelial cells (SAEC) that are sensitive to <i>Mycobacterium avium</i>. …”
  20. 1900

    Minimal data set. by Daan P. van den Brink (9900073)

    Published 2025
    “…Other markers of endothelial injury or inflammation were not significantly different between groups. No significant differences were observed in histologic injury scores and wet-to-dry ratios.…”