Showing 1 - 20 results of 51 for search '(( significantly higher decrease ) OR ( significantly ((linear decrease) OR (mean decrease)) ))~', query time: 0.30s Refine Results
  1. 1
  2. 2
  3. 3

    Data. by Aroon La-up (14095691)

    Published 2025
    “…Dual-energy X-ray absorptiometry was used for BMD measurements and atomic absorption spectrometry for U-Cd analysis. The mean U-Cd levels in males (7.18 ± 1.35 μg/g creatinine) were significantly higher (p < 0.001) than in females (3.68 ± 2.13 μg/g creatinine). …”
  4. 4
  5. 5

    Association between FF Proximity and BMI by sex. by Kimberly Yuin Y’ng Wong (22766265)

    Published 2025
    “…An exponential decrease in FF proximity was associated with 0.7 kg/m<sup>2</sup> (p < 0.001) increase in BMI among males and 0.4 kg/m<sup>2</sup> (p < 0.05) decrease among females. …”
  6. 6

    Univariate analyses. by Zachary E. M. Giovannini-Green (22008277)

    Published 2025
    “…Female individuals and rural residents also had significantly higher mean monthly ED visits than male individuals (Female = 0.51 vs Male = 0.21, p < 0.01) and urban residents (rural = 0.38 vs urban = 0.21, p = 0.02). …”
  7. 7

    Overview of individuals in the study. by Zachary E. M. Giovannini-Green (22008277)

    Published 2025
    “…Female individuals and rural residents also had significantly higher mean monthly ED visits than male individuals (Female = 0.51 vs Male = 0.21, p < 0.01) and urban residents (rural = 0.38 vs urban = 0.21, p = 0.02). …”
  8. 8

    Multivariate analyses. by Zachary E. M. Giovannini-Green (22008277)

    Published 2025
    “…Female individuals and rural residents also had significantly higher mean monthly ED visits than male individuals (Female = 0.51 vs Male = 0.21, p < 0.01) and urban residents (rural = 0.38 vs urban = 0.21, p = 0.02). …”
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13

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

    Published 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.…”
  14. 14

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

    Published 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.…”
  15. 15

    Flowchart of the study population. by Gábor Szaló (22615130)

    Published 2025
    “…</p><p>Results</p><p>The mean age of study participants was 57 years and women reported significantly higher stress levels on PSS-10 than men [Women: 13.6 ± 5.6; Men: 12.4 ± 5.3; p < 0.01]. …”
  16. 16

    Characteristics of study population. by Gábor Szaló (22615130)

    Published 2025
    “…</p><p>Results</p><p>The mean age of study participants was 57 years and women reported significantly higher stress levels on PSS-10 than men [Women: 13.6 ± 5.6; Men: 12.4 ± 5.3; p < 0.01]. …”
  17. 17

    Baseline characteristics of participants. by Mei Zhou (269746)

    Published 2025
    “…</p><p>Results</p><p>After DRG implementation, the logarithmic mean of total hospitalization expenditures decreased significantly (3.914 ± 0.837 vs. 3.872 ± 1.004), while rates of unplanned readmissions, unplanned reoperations, postoperative complications, and patient complaints within 30 days increased significantly (3.784% vs 4.214%, 0.083% vs 0.166%, 0.207% vs 0.258%, 3.741% vs 5.133%). …”
  18. 18

    The framework diagram of this study. by Mei Zhou (269746)

    Published 2025
    “…</p><p>Results</p><p>After DRG implementation, the logarithmic mean of total hospitalization expenditures decreased significantly (3.914 ± 0.837 vs. 3.872 ± 1.004), while rates of unplanned readmissions, unplanned reoperations, postoperative complications, and patient complaints within 30 days increased significantly (3.784% vs 4.214%, 0.083% vs 0.166%, 0.207% vs 0.258%, 3.741% vs 5.133%). …”
  19. 19

    Predictors in ordinal regression model for GDS. by Shane Naidoo (20148021)

    Published 2025
    “…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”
  20. 20

    Classification of hand grip strength. by Shane Naidoo (20148021)

    Published 2025
    “…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”