يعرض 1 - 20 نتائج من 79 نتيجة بحث عن '(( significantly ((mean decrease) OR (linear decrease)) ) OR ( significantly observed decrease ))~', وقت الاستعلام: 0.56s تنقيح النتائج
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    Baseline patient characteristics. حسب Oscar F. C. van den Bosch (22184246)

    منشور في 2025
    "…Their median baseline variabilities of respiratory rate and tidal volume were 0.19 (IQR: 0.16–0.25) and 0.23 (0.19–0.34), respectively. While mean respiratory rate was not affected, midazolam resulted in a significant decrease in both VRR (ß = −0.071, 95% CI: −0.120 to −0.021) and VTV (ß = −0.117, 95% CI: −0.170 to −0.062). …"
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    Detailed information of the observation datasets. حسب Weidong Ji (129916)

    منشور في 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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    Data. حسب Aroon La-up (14095691)

    منشور في 2025
    "…However, no statistically significant changes were observed in groups with U-Cd levels above 2.0 μg/g creatinine. …"
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    Mean parameter values for the selected crops. حسب Gourab Saha (8987405)

    منشور في 2025
    "…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"
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    Flowchart of the study population. حسب Gábor Szaló (22615130)

    منشور في 2025
    "…Among those 803 individuals who did not take antihypertensive medication, there was a significant association in linear regression between increase in PSS-10 and decrease in C2 (B: −0.2, 95% CI: −0.4- −0.02; p = 0.03) that was lost after adjustment for physical activity (B: −0.16, 95% CI: −0.35–0.03; p = 0.1). …"
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    Characteristics of study population. حسب Gábor Szaló (22615130)

    منشور في 2025
    "…Among those 803 individuals who did not take antihypertensive medication, there was a significant association in linear regression between increase in PSS-10 and decrease in C2 (B: −0.2, 95% CI: −0.4- −0.02; p = 0.03) that was lost after adjustment for physical activity (B: −0.16, 95% CI: −0.35–0.03; p = 0.1). …"
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    General technical specification for GW154/6700. حسب Weidong Ji (129916)

    منشور في 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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    Fig 4 - حسب Leena Inkilä (20614460)

    منشور في 2025
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    Optimisation of read depth, DNA quantity, and unique alternate observation threshold. حسب Melinda L. Tursky (20790436)

    منشور في 2025
    "…C: The association between expected VAF and observed VAF according to read depth. Lower read depth may contribute to an overestimated VAF of very small variants, although differences did not reach significance. …"
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    Validation and predictive accuracy of the cerebrovascular model, حسب Hadi Esfandi (21387211)

    منشور في 2025
    "…This observation suggests that the myogenic response is potentially linearly potentiated with increasing WT; however, the decreased constriction ability of muscles in the sloped phase, is proven to be advantageous for the vasculature, as it prevents reduced blood flow in deeper layers at high ABNP values. …"
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    Performance comparison of ML models. حسب Gourab Saha (8987405)

    منشور في 2025
    "…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"