Showing 1,921 - 1,940 results of 3,951 for search 'significant ((((gap decrease) OR (((nn decrease) OR (greatest decrease))))) OR (mean decrease))', query time: 0.50s Refine Results
  1. 1921

    <i>SLC2A2</i> is essential for liver differentiation in developing vertebrates by Yejin Kim (740789)

    Published 2025
    “…Data are represented as mean ± standard error of the mean (SEM). (G) Quantitative RT-PCR analysis was performed to evaluate the expression levels of igf1r. …”
  2. 1922
  3. 1923

    Experimental groups. by Nida Saleem (17194610)

    Published 2025
    “…</p><p>Results</p><p>The study showed that the number of white blood cells, platelets count, granulocyte count and lymphocyte count in both genders of albino rats after 30-, 60- and 90-days exposure to dimethoate was significantly increased where simultaneously the number of red blood cells, hemoglobin level, mean corpuscle hemoglobin count, and mean corpuscle hemoglobin concentration count was decreased considerably due to exposure of dimethoate pesticide in both genders of albino rats. …”
  4. 1924
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  6. 1926
  7. 1927
  8. 1928
  9. 1929
  10. 1930
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  12. 1932
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  14. 1934
  15. 1935
  16. 1936
  17. 1937

    Detailed information of the observation datasets. by Weidong Ji (129916)

    Published 2025
    “…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
  18. 1938

    General technical specification for GW154/6700. by Weidong Ji (129916)

    Published 2025
    “…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
  19. 1939
  20. 1940