Showing 1,141 - 1,160 results of 1,261 for search 'significantly ((nn decrease) OR (linear decrease))', query time: 0.33s Refine Results
  1. 1141

    Image 7_The global, regional, and national alcohol-related colorectal cancer burden and forecasted trends: results from the global burden of disease study 2021.tif by Jinfeng Yao (2200615)

    Published 2024
    “…Temporal trends in the burden of disease from 1990 to 2021 were analyzed through linear regression models. Finally, both Age-Period-Cohort (APC) models and Bayesian Age-Period-Cohort (BAPC) models were utilized to project the future burden of the disease for 2022–2046.…”
  2. 1142

    Table_2_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC by Saeid Safiri (3713035)

    Published 2024
    “…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”
  3. 1143

    Data_Sheet_13_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF by Saeid Safiri (3713035)

    Published 2024
    “…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”
  4. 1144

    Table_3_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC by Saeid Safiri (3713035)

    Published 2024
    “…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”
  5. 1145

    Image 2_The global, regional, and national alcohol-related colorectal cancer burden and forecasted trends: results from the global burden of disease study 2021.tif by Jinfeng Yao (2200615)

    Published 2024
    “…Temporal trends in the burden of disease from 1990 to 2021 were analyzed through linear regression models. Finally, both Age-Period-Cohort (APC) models and Bayesian Age-Period-Cohort (BAPC) models were utilized to project the future burden of the disease for 2022–2046.…”
  6. 1146

    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). …”
  7. 1147

    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). …”
  8. 1148

    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). …”
  9. 1149

    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). …”
  10. 1150

    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). …”
  11. 1151

    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). …”
  12. 1152

    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). …”
  13. 1153

    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). …”
  14. 1154

    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. …”
  15. 1155

    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. …”
  16. 1156

    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. …”
  17. 1157

    Table 1_Age-related lung structure changes by quantitative assessment: a cross-sectional study in a Chinese male cohort.docx by Meijuan Shi (16999551)

    Published 2025
    “…</p>Conclusion<p>Lung aging is not a linear process, and the lung structural alterations in the upper and lower lobes exhibit significant heterogeneity.…”
  18. 1158

    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. …”
  19. 1159

    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. …”
  20. 1160

    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. …”