Showing 681 - 700 results of 21,342 for search '(( significant decrease decrease ) OR ( significantly ((linear decrease) OR (mean decrease)) ))*', query time: 0.56s Refine Results
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    The figure shows that <i>R</i><sub>0</sub> decreases significantly under control strategies, particularly at temperatures near the peak transmission range, indicating the effectiveness of control mechanisms applied. by Lukas Degu Petros (22097332)

    Published 2025
    “…<p>The figure shows that <i>R</i><sub>0</sub> decreases significantly under control strategies, particularly at temperatures near the peak transmission range, indicating the effectiveness of control mechanisms applied.…”
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    Fig 1 - by Farshid Maleki (20521649)

    Published 2025
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    Fig 5 - by Farshid Maleki (20521649)

    Published 2025
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    Fig 10 - by Farshid Maleki (20521649)

    Published 2025
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    Fig 4 - by Farshid Maleki (20521649)

    Published 2025
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    Fig 9 - by Farshid Maleki (20521649)

    Published 2025
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    Fig 6 - by Farshid Maleki (20521649)

    Published 2025
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    Fig 7 - by Farshid Maleki (20521649)

    Published 2025
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    Fig 8 - by Farshid Maleki (20521649)

    Published 2025
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    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.…”
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    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.…”
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