بدائل البحث:
significant estimated » significant estimates (توسيع البحث), significantly mitigated (توسيع البحث), significantly overestimated (توسيع البحث)
estimated decrease » estimated release (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
a decrease » _ decrease (توسيع البحث), _ decreased (توسيع البحث), _ decreases (توسيع البحث)
significant estimated » significant estimates (توسيع البحث), significantly mitigated (توسيع البحث), significantly overestimated (توسيع البحث)
estimated decrease » estimated release (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
a decrease » _ decrease (توسيع البحث), _ decreased (توسيع البحث), _ decreases (توسيع البحث)
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Table 1_NSAID use may decrease serum Klotho levels.docx
منشور في 2025"…Subgroup analyses did not reveal any statistically significant interactions.</p>Conclusion<p>Contrary to previous speculations, the use of NSAIDs is associated with a decrease in serum Klotho levels.…"
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Models 7 to 12: estimation results.
منشور في 2025"…<div><p>Despite the significance of economic freedom in tourism dynamics, especially from a spatial standpoint, its nuanced influence remains unexplored mainly in current research. …"
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Models 1 to 6: estimation results.
منشور في 2025"…<div><p>Despite the significance of economic freedom in tourism dynamics, especially from a spatial standpoint, its nuanced influence remains unexplored mainly in current research. …"
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Data Sheet 1_Elevated relative humidity significantly decreases cannabinoid concentrations while delaying flowering development in Cannabis sativa L..docx
منشور في 2025"…Furthermore, high RH significantly suppressed cannabinoid accumulation: cannabidiolic acid (CBD-A), cannabidiol (CBD), and cannabichromenic acid (CBC-A) levels decreased by approximately 4.9-fold, 3.2-fold, and 13-fold, respectively. …"
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STL Linear Combination Forecast Graph.
منشور في 2025"…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. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …"
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