Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
bins decrease » point decrease (Expand Search), sizes decrease (Expand Search), nn decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
bins decrease » point decrease (Expand Search), sizes decrease (Expand Search), nn decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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3041
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3042
Subgroup Analysis of Sleep Duration and Cardiovascular Disease Risk in Type 2 Diabetes Patients.
Published 2025Subjects: -
3043
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3044
Growth of bacteria in various media and temperatures with or without Sf14 infection.
Published 2025Subjects: -
3045
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3046
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3047
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3048
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3049
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3050
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3051
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Stereotactic injection of AAV-miR-129-5p attenuated microglia activation in depressed mice.
Published 2025Subjects: -
3053
Stereotactic injection of AAV-miR-129-5p suppressed astrocyte activation in depressed mice.
Published 2025Subjects: -
3054
Overexpression of miR-129-5p alleviated depression-like behaviors by increasing ATP content.
Published 2025Subjects: -
3055
Overexpression of miR-129-5p alleviated the depressive-like phenotypes of CRS and LPS treated mice.
Published 2025Subjects: -
3056
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3057
Achieving Improved Ion Swarm Shaping Based on Ion Leakage Control in Ion Mobility Spectrometry
Published 2025“…Simulations and experiments demonstrate that precise voltage adjustments effectively minimize ion leakage, enhancing resolving power by 50% (reaching a maximum of 106), while the corresponding decrease in signal intensity follows the <i>I</i><sub>p</sub>–<i>R</i><sub>p</sub> linear relationship. …”
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3058
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3059
Testing set error.
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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3060
Internal structure of an LSTM cell.
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. …”