Search alternatives:
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
Showing 1,661 - 1,680 results of 1,805 for search 'significantly ((((linear decrease) OR (teer decrease))) OR (larger decrease))', query time: 0.40s Refine Results
  1. 1661

    Data_Sheet_9_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.…”
  2. 1662

    Data_Sheet_6_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.…”
  3. 1663

    Table_4_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.…”
  4. 1664

    DataSheet2_Diverse responses of hypoxia-inducible factor alpha mRNA abundance in fish exposed to low oxygen: the importance of reporting methods.CSV by Taylor E. Murphy (19800534)

    Published 2024
    “…<p>Low dissolved oxygen (hypoxia) poses significant challenges to aquatic ecosystems, affecting the behavior, reproduction, and survival of aquatic organisms. …”
  5. 1665

    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.…”
  6. 1666

    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.…”
  7. 1667

    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.…”
  8. 1668

    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.…”
  9. 1669

    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.…”
  10. 1670

    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). …”
  11. 1671

    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). …”
  12. 1672

    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). …”
  13. 1673

    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). …”
  14. 1674

    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). …”
  15. 1675

    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). …”
  16. 1676

    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). …”
  17. 1677

    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). …”
  18. 1678

    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. …”
  19. 1679

    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. …”
  20. 1680