Showing 1,781 - 1,800 results of 1,914 for search '(( significantly ((linear decrease) OR (larger decrease)) ) OR ( significant portion decrease ))', query time: 0.55s Refine Results
  1. 1781

    Descriptive statistics. by Xiang Pan (5774024)

    Published 2025
    “…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
  2. 1782

    Changes in body composition, PSC, PSCP, MVPA. by Xiang Pan (5774024)

    Published 2025
    “…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
  3. 1783

    Causal paths for FFM. by Xiang Pan (5774024)

    Published 2025
    “…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
  4. 1784

    Recruitment and screening flowchart. by Xiang Pan (5774024)

    Published 2025
    “…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
  5. 1785

    Factors influencing body fat percentage at Q2. by Xiang Pan (5774024)

    Published 2025
    “…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
  6. 1786

    Factors influencing body fat percentage at Q1. by Xiang Pan (5774024)

    Published 2025
    “…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
  7. 1787

    STROBE flowchart. by Xiang Pan (5774024)

    Published 2025
    “…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
  8. 1788

    Factors influencing FFM at Q1. by Xiang Pan (5774024)

    Published 2025
    “…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
  9. 1789

    SEAwise report on the impact of socio-economic effects of fisheries management by Isabella Bitetto (20145735)

    Published 2025
    “…As stock productivity declined, revenues from the fishery decreased under stronger warming scenarios, leading to lower employment and higher chances to suffer an income loss. …”
  10. 1790

    Behavior is best fit by models with independent attributes. by Aster Q. Perkins (22008260)

    Published 2025
    “…Positive/negative coefficients on option A/B indicate that the probability of choosing option A increases/decreases with the magnitude of that attribute. Larger deviations from 0 are indicative of more influence on the choice. …”
  11. 1791
  12. 1792

    Data Sheet 7_Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite.xlsx by Xi Zhang (83736)

    Published 2025
    “…This indicates significant fractal characteristics, suggesting that medium pores are the most developed in this scale range. …”
  13. 1793

    Data Sheet 4_Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite.xlsx by Xi Zhang (83736)

    Published 2025
    “…This indicates significant fractal characteristics, suggesting that medium pores are the most developed in this scale range. …”
  14. 1794

    Data Sheet 3_Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite.xlsx by Xi Zhang (83736)

    Published 2025
    “…This indicates significant fractal characteristics, suggesting that medium pores are the most developed in this scale range. …”
  15. 1795

    Data Sheet 2_Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite.xlsx by Xi Zhang (83736)

    Published 2025
    “…This indicates significant fractal characteristics, suggesting that medium pores are the most developed in this scale range. …”
  16. 1796

    Data Sheet 1_Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite.xlsx by Xi Zhang (83736)

    Published 2025
    “…This indicates significant fractal characteristics, suggesting that medium pores are the most developed in this scale range. …”
  17. 1797

    Soil carbon, nitrogen, and phosphorus stoichiometry in subtropical forests of Zhejiang, China by Tonggui Wu (20215883)

    Published 2025
    “…Both SOC content and C:N ratio <a href="" target="_blank">exhibited non-linear trends with latitude</a>, initially decreasing and then increasing beyond a turning point at 29°N due to systematic grid-based soil sampling in Jinqu Basin with warmer conditions, which is different to global and China’s forests. …”
  18. 1798

    Data Sheet 6_Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite.xlsx by Xi Zhang (83736)

    Published 2025
    “…This indicates significant fractal characteristics, suggesting that medium pores are the most developed in this scale range. …”
  19. 1799

    Table 4_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

    Published 2025
    “…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  20. 1800

    Image 5_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

    Published 2025
    “…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”