Search alternatives:
significantly mean » significantly less (Expand Search), significantly mediate (Expand Search), significantly impact (Expand Search)
longer decrease » larger decrease (Expand Search), largest decrease (Expand Search)
linear decrease » linear increase (Expand Search)
significantly mean » significantly less (Expand Search), significantly mediate (Expand Search), significantly impact (Expand Search)
longer decrease » larger decrease (Expand Search), largest decrease (Expand Search)
linear decrease » linear increase (Expand Search)
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Fluctuation trend of the mean temperature index.
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.
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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Volitional control frequency and intensity in VH (Kapsner-Smith et al., 2025)
Published 2025“…Singers produced significantly smaller mean smallest changes of both <i>F</i>0 and intensity than nonsingers.…”
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Mann-Kendall test for the mean temperature index.
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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Detailed information of the observation datasets.
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.
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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Means scores of CAM and CAM-MYCS.
Published 2025“…Statistical analyses included descriptive statistics, Spearman’s correlation, and multiple linear regression. Participants demonstrated significantly higher awareness of scientifically established cancer causes (70.7%) compared to mythical ones (10.2%). …”
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