بدائل البحث:
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
greater decrease » greatest decrease (توسيع البحث), greater increase (توسيع البحث), greater disease (توسيع البحث)
degs decrease » mean decrease (توسيع البحث), teer decrease (توسيع البحث), we decrease (توسيع البحث)
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
greater decrease » greatest decrease (توسيع البحث), greater increase (توسيع البحث), greater disease (توسيع البحث)
degs decrease » mean decrease (توسيع البحث), teer decrease (توسيع البحث), we decrease (توسيع البحث)
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4061
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4063
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4064
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4067
Interventions for Psychological Stress in Pregnant African American Women: A Scoping Review
منشور في 2025الموضوعات: -
4068
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4069
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4070
Table3_Physiological characteristics and transcriptomic analyses of alfalfa root crown in wintering.docx
منشور في 2024"…Among them, 463 DEGs showed an increase in expression, whereas 415 DEGs showed a decrease in expression. …"
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4071
Table1_Physiological characteristics and transcriptomic analyses of alfalfa root crown in wintering.docx
منشور في 2024"…Among them, 463 DEGs showed an increase in expression, whereas 415 DEGs showed a decrease in expression. …"
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4072
Table2_Physiological characteristics and transcriptomic analyses of alfalfa root crown in wintering.docx
منشور في 2024"…Among them, 463 DEGs showed an increase in expression, whereas 415 DEGs showed a decrease in expression. …"
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4073
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4074
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4075
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4076
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4079
Major hyperparameters of RF-SVR.
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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4080
Pseudo code for coupling model execution process.
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. …"