بدائل البحث:
significantly predicted » significantly reduced (توسيع البحث), significantly reduce (توسيع البحث), significant predictor (توسيع البحث)
predicted decrease » predicted secreted (توسيع البحث), reported decrease (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
_ decrease » _ decreased (توسيع البحث), _ decreasing (توسيع البحث)
significantly predicted » significantly reduced (توسيع البحث), significantly reduce (توسيع البحث), significant predictor (توسيع البحث)
predicted decrease » predicted secreted (توسيع البحث), reported decrease (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
_ decrease » _ decreased (توسيع البحث), _ decreasing (توسيع البحث)
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Nineteen SNPs with significant association (<i>P < </i>5 × 10<sup>−8</sup>) with risk on minJSW decrease in knee OA.
منشور في 2025"…<p>Nineteen SNPs with significant association (<i>P < </i>5 × 10<sup>−8</sup>) with risk on minJSW decrease in knee OA.…"
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Statistically significant linear increase in use of antidepressants during the observed time period.
منشور في 2025الموضوعات: -
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The figure shows that <i>R</i><sub>0</sub> decreases significantly under control strategies, particularly at temperatures near the peak transmission range, indicating the effectiveness of control mechanisms applied.
منشور في 2025"…<p>The figure shows that <i>R</i><sub>0</sub> decreases significantly under control strategies, particularly at temperatures near the peak transmission range, indicating the effectiveness of control mechanisms applied.…"
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The flexural lumber properties of Pinus patula Schiede ex Schltdl. & Cham. improve with decreasing initial tree spacing
منشور في 2025"…After accounting for ring width differences, there remained a significant effect of initial spacing on the parameters of models predicting microfibril angle and wood density.…"
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Validation of genetic markers for risk of OA or knee OA for decrease in minJSW.
منشور في 2025"…The red line represents the significance threshold (<i>P < </i>5 × 10<sup>−8</sup>). …"
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STL Linear Combination Forecast Graph.
منشور في 2025"…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"