Showing 921 - 940 results of 13,596 for search '(( significant increase decrease ) OR ( significant ((greater decrease) OR (linear decrease)) ))', query time: 0.47s Refine Results
  1. 921

    Changes in total spillage during the first stage (pre-epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  2. 922

    Changes in total spillage during the third stage (post epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  3. 923

    Dynamics of pairwise net spillovers between sectors in the second stage (in- epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  4. 924

    Sample stage division. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  5. 925

    First. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  6. 926

    Static spillovers in the first stage (pre-epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  7. 927

    Changes in total spillage during the second stage (in-epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  8. 928

    Dynamics of net spillage in the second stage (in-epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  9. 929

    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.…”
  10. 930

    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.…”
  11. 931
  12. 932

    Fig 11 - by Naveed Arshad (19712985)

    Published 2024
    Subjects:
  13. 933
  14. 934
  15. 935
  16. 936
  17. 937
  18. 938
  19. 939

    Fig 9 - by Naveed Arshad (19712985)

    Published 2024
    Subjects:
  20. 940