Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
linear decrease » linear increase (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
linear decrease » linear increase (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Test soil parameters.
Published 2025“…When the length of UHMWPE is greater than 9 mm, there is no significant decrease in the free swelling ratio of the reinforced soil (<i>p</i> = 0.165). …”
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Influence of UHMWPE length on swelling pressure.
Published 2025“…When the length of UHMWPE is greater than 9 mm, there is no significant decrease in the free swelling ratio of the reinforced soil (<i>p</i> = 0.165). …”
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UHMWPF parameters.
Published 2025“…When the length of UHMWPE is greater than 9 mm, there is no significant decrease in the free swelling ratio of the reinforced soil (<i>p</i> = 0.165). …”
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Influence of UHMWPE content on swelling pressure.
Published 2025“…When the length of UHMWPE is greater than 9 mm, there is no significant decrease in the free swelling ratio of the reinforced soil (<i>p</i> = 0.165). …”
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Soil partice-size distribution.
Published 2025“…When the length of UHMWPE is greater than 9 mm, there is no significant decrease in the free swelling ratio of the reinforced soil (<i>p</i> = 0.165). …”
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Decreased clonogenic capacity of U87MG and U251MG glioma cells dependent on SHG-44 concentration.
Published 2025“…<p><b>(A)</b> A significant decrease in the proliferative clonal capacity of U87MG colonies was observed with 70ΜM and 100ΜM SHG-44 treatment. …”
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STL Linear Combination Forecast Graph.
Published 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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