Showing 901 - 920 results of 13,596 for search '(( significant increase decrease ) OR ( significantly ((greater decrease) OR (linear decrease)) ))*', query time: 0.55s Refine Results
  1. 901

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

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  2. 902

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

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  3. 903

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

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  4. 904

    Sample stage division. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  5. 905

    First. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  6. 906

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

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  7. 907

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

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  8. 908

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

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
  9. 909

    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. 910

    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. 911
  12. 912

    Fig 11 - by Naveed Arshad (19712985)

    Published 2024
    Subjects:
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  14. 914
  15. 915
  16. 916
  17. 917
  18. 918
  19. 919

    Fig 9 - by Naveed Arshad (19712985)

    Published 2024
    Subjects:
  20. 920