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Showing 1,441 - 1,460 results of 1,764 for search '(( ct ((largest decrease) OR (larger decrease)) ) OR ( a ((teer decrease) OR (linear decrease)) ))', query time: 0.31s Refine Results
  1. 1441

    Data_Sheet_5_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. 1442

    Data Sheet 1_Association between the American Heart Association’s New Life’s Essential 8 Metrics and Depression Symptom in U.S General Adults, Finding from NHANES 2005-2018.docx... by Zhuoer Ruan (20278014)

    Published 2024
    “…The study revealed that individuals with positive scores in both individual and total LE8 metrics were less likely to experience depressive symptoms compared to those with negative scores. Furthermore, a significant negative linear trend was observed, showing that as the overall number of favorable LE8 scores increased, the likelihood of depressive symptoms decreased.…”
  3. 1443

    Data_Sheet_1_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. 1444

    Data_Sheet_4_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.…”
  5. 1445

    Data_Sheet_7_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.…”
  6. 1446

    Data_Sheet_8_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.…”
  7. 1447

    Data_Sheet_11_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. 1448

    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.…”
  9. 1449

    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.…”
  10. 1450

    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.…”
  11. 1451

    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.…”
  12. 1452

    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.…”
  13. 1453

    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.…”
  14. 1454

    Table_1_Associations of dietary sources of antioxidant intake and NAFLD: NHANES 2017–2020 and Mendelian randomization.DOCX by Zilong Yue (19966818)

    Published 2024
    “…</p>Conclusion<p>Our research indicates a negative and linear relationship between daily vitamin E intake and NAFLD.…”
  15. 1455

    Table_1_Associations of dietary sources of antioxidant intake and NAFLD: NHANES 2017–2020 and Mendelian randomization.DOCX by Zilong Yue (19966818)

    Published 2024
    “…</p>Conclusion<p>Our research indicates a negative and linear relationship between daily vitamin E intake and NAFLD.…”
  16. 1456

    <b>Ontogeny of energy use in harvester ant colonies, and the metabolic expense of colony growth</b> by Xiaohui Guo (9669860)

    Published 2024
    “…We discovered that the fraction of colony as brood has dual effects on colonial metabolic rate. A higher fraction of the colony that is brood decreases colonial metabolic rate because brood has approximately half the mass-specific metabolic rates of adult ants. …”
  17. 1457

    Table_2_Associations of dietary sources of antioxidant intake and NAFLD: NHANES 2017–2020 and Mendelian randomization.DOCX by Zilong Yue (19966818)

    Published 2024
    “…</p>Conclusion<p>Our research indicates a negative and linear relationship between daily vitamin E intake and NAFLD.…”
  18. 1458

    Table_2_Associations of dietary sources of antioxidant intake and NAFLD: NHANES 2017–2020 and Mendelian randomization.DOCX by Zilong Yue (19966818)

    Published 2024
    “…</p>Conclusion<p>Our research indicates a negative and linear relationship between daily vitamin E intake and NAFLD.…”
  19. 1459

    Improving genomic prediction for plant disease using environmental covariates by Charlotte Brault (22078544)

    Published 2025
    “…</p> <p>Traditionally, GxE has been analyzed as a reaction norm over an environmental index. Here, we computed the environment index as a linear combination of environmental covariates specific to each environment, and we derived an environment relationship matrix. …”
  20. 1460

    Analysis of differential microbiome and classification prediction model between case and control groups. by Chuan Zhang (187157)

    Published 2025
    “…<p><b>(A)</b> Linear discriminant analysis [LDA; (log10)>2] and (B) effect size (LEfSe) analysis revealed significant differences (P < 0.01) in the microbiota of the case (orange, negative score) and control groups (blue, positive score) groups. …”