Showing 1 - 20 results of 185 for search '(( significantly increase decrease ) OR ( significantly ((linear decrease) OR (mean decrease)) ))~', query time: 0.50s Refine Results
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    Volitional control frequency and intensity in VH (Kapsner-Smith et al., 2025) by Mara R. Kapsner-Smith (22139315)

    Published 2025
    “…Singers produced significantly smaller mean smallest changes of both <i>F</i>0 and intensity than nonsingers.…”
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    Fluctuation trend of the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”
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    Variation curve of the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”
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    Mann-Kendall test for the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”
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    AZ10606120 treatment significantly increased cytotoxicity and reduced cell number in a dose-dependent manner. by Matthew Drill (22258391)

    Published 2025
    “…Cell numbers were significantly decreased in cells after treatment with AZ10606120 (50µM) compared to both temozolomide (TMZ; 50µM) treatment and untreated controls. …”
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    The Date. by Chengyuan Hao (21615653)

    Published 2025
    “…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”
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    Variation curve of the extreme temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”
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    Structure diagram of ensemble model. by Hongqi Wang (2208238)

    Published 2024
    “…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …”