يعرض 1 - 20 نتائج من 21,342 نتيجة بحث عن '(( significantly predicted decrease ) OR ( significantly ((linear decrease) OR (_ decrease)) ))*', وقت الاستعلام: 0.74s تنقيح النتائج
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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. حسب Mieke L. M. Bentvelzen (21594442)

    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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    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. حسب Lukas Degu Petros (22097332)

    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 حسب Justin Erasmus (8702619)

    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. حسب Mieke L. M. Bentvelzen (21594442)

    منشور في 2025
    "…The red line represents the significance threshold (<i>P < </i>5 × 10<sup>−8</sup>). …"
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    Significant associations in GWAS. حسب Dai Nogimura (21445649)

    منشور في 2025
    الموضوعات:
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    STL Linear Combination Forecast Graph. حسب Xiangjuan Liu (618000)

    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. …"