يعرض 2,361 - 2,380 نتائج من 5,273 نتيجة بحث عن 'significantly ((((((mean decrease) OR (greater decrease))) OR (nn decrease))) OR (linear decrease))', وقت الاستعلام: 0.59s تنقيح النتائج
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    Effect of Viscosol on the expression of inflammatory cytokines, chemokines as well as cell death pathways. حسب Summan Thahiem (20988319)

    منشور في 2025
    "…The results shown are represented as mean ±  SD. Significant differences compared to control (****<i>p</i> < 0.0001, ***<i>p</i> < 0.0001, **<i>p</i> < 0.01 and * <i>p</i> <  0.05; two-wayANOVA and Tukey’s test).…"
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    The TOR inhibitors Rapamycin and AZD-8055 strongly reduce RPS6 phosphorylation and cell proliferation in Vasa2+/Piwi1+ cells. حسب Eudald Pascual-Carreras (12115380)

    منشور في 2025
    "…<i>n</i> = 2–4 biological replicates per condition, with 15 individuals per replicate. Significance levels for Student <i>t</i> test are indicated for adjusted <i>p</i> values: *<i>p</i> < 0.05, ***<i>p</i> < 0.001, ***<i>p</i> < 0.0001. d: day(s), n.s.: non-significant. …"
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    Flowchart of participants in this study. حسب Yubo Teng (21246745)

    منشور في 2025
    "…Participants were categorized into quartiles based on UACR levels. Multivariate linear regression models were used to evaluate the association between UACR and cognitive scores. …"
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    Major hyperparameters of RF-SVR. حسب Jintao Li (448681)

    منشور في 2024
    "…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"
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    Pseudo code for coupling model execution process. حسب Jintao Li (448681)

    منشور في 2024
    "…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"