Search alternatives:
greatest decrease » treatment decreased (Expand Search), greater increase (Expand Search)
Showing 1,801 - 1,820 results of 7,462 for search 'significantly ((((greatest decrease) OR (mean decrease))) OR (observed decrease))', query time: 0.30s Refine Results
  1. 1801

    Table 4_Global burden and trends of norovirus-associated diseases from 1990 to 2021 an observational trend study.xlsx by MengLan Zhu (20517257)

    Published 2025
    “…Background<p>Norovirus remains a significant viral cause of waterborne and foodborne gastroenteritis outbreaks and epidemics worldwide. …”
  2. 1802
  3. 1803

    Opioid consumption data. by Wali U. Pirzada (22278071)

    Published 2025
    “…No significant difference was observed in the mean percentage of prescribed MMEs leftover between the two cohorts (Orthopaedic 47% vs. …”
  4. 1804

    Prescription data. by Wali U. Pirzada (22278071)

    Published 2025
    “…No significant difference was observed in the mean percentage of prescribed MMEs leftover between the two cohorts (Orthopaedic 47% vs. …”
  5. 1805

    Refill rate by surgical specialty. by Wali U. Pirzada (22278071)

    Published 2025
    “…No significant difference was observed in the mean percentage of prescribed MMEs leftover between the two cohorts (Orthopaedic 47% vs. …”
  6. 1806

    Noncontinuous data on opioid use. by Wali U. Pirzada (22278071)

    Published 2025
    “…No significant difference was observed in the mean percentage of prescribed MMEs leftover between the two cohorts (Orthopaedic 47% vs. …”
  7. 1807
  8. 1808
  9. 1809

    The technical route of the study. by Hongliang Zou (20707270)

    Published 2025
    “…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
  10. 1810

    Point cloud fusion instance effect. by Hongliang Zou (20707270)

    Published 2025
    “…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
  11. 1811

    Experimental results in the SubT-MRS dataset. by Hongliang Zou (20707270)

    Published 2025
    “…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
  12. 1812

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

    Published 2025
    “…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
  13. 1813

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

    Published 2025
    “…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
  14. 1814

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

    Published 2025
    “…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
  15. 1815
  16. 1816
  17. 1817
  18. 1818
  19. 1819
  20. 1820

    <i>Oenocarpus bacaba</i> palm tree (A) and fruit (B). by Eudes Alves Simões-Neto (19697968)

    Published 2024
    “…Serological cure was achieved in 34.6% of cases, and IgG titers decreased in 15.3%.</p><p>Conclusions and significance</p><p>We encountered several barriers in managing ACD, including population vulnerability, reliance on outdated diagnostic techniques, lack of standardized molecular biology methods, and limited therapeutic options. …”