Results of comparison experiments. حسب Wen-Qing Huang (5258126)

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Architecture of Swin Transformer Block. حسب Wen-Qing Huang (5258126)

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Token merging module. حسب Wen-Qing Huang (5258126)

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Comparative results of the ablation experiments. حسب Wen-Qing Huang (5258126)

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Linear association Between Vitamin D Concentration and Visceral Adiposity Index (VAI) and Lipid Accumulation Product (LAP). حسب Hyelim Lee (11286822)

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Comparison of Visceral Adiposity Index (VAI), Lipid Accumulation Product (LAP), and Related Variables by Vitamin D Status (A) VAI, (B) LAP, (C) TG, (D) WC, (E) BMI, (F) HDL-C. حسب Hyelim Lee (11286822)

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Distribution of HWP by Criteria and Vitamin D Status (Three Groups). حسب Hyelim Lee (11286822)

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Association Between Vitamin D Status and Hypertriglyceridemic Waist Phenotype (HWP). حسب Hyelim Lee (11286822)

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Distribution of Hypertriglyceridemic Waist Phenotype, abdominal obesity, and high triglyceride by serum vitamin D Status. حسب Hyelim Lee (11286822)

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Characteristics of Study Participants. حسب Hyelim Lee (11286822)

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Distribution of HWP by Criteria and Vitamin D Status (Two Groups). حسب Hyelim Lee (11286822)

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The Efficacy of Taurolidine Lock Solution in Preventing Catheter-Related Bloodstream Infections in Pediatrics: A Systematic Review and Meta-Analysis حسب Congyu Qin (22386781)

Data Sheet 1_Individual alpha frequency tACS reduces static functional connectivity across the default mode network.docx حسب Martín Carrasco-Gómez (16836738)

"…</p>Results<p>IAF-tACS significantly decreased sFC in intra- and inter-DMN links in the stimulation group compared to the sham group, with a special influence over antero-posterior links between hubs of the DMN. …"

Testing set error. حسب Xiangjuan Liu (618000)

"…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. …"

Internal structure of an LSTM cell. حسب Xiangjuan Liu (618000)

"…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. …"

Prediction effect of each model after STL. حسب Xiangjuan Liu (618000)

"…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. …"

Estimated results of the mediation effect. حسب Getachew Magnar Kitila (19935139)

"…The empirical findings show that greater trade openness is associated with significantly higher CO2 emission, additionally; it demonstrates that the influence is heterogeneous across different CO2 emission quantiles in African countries. …"

The kernel density plot for data of each feature. حسب Xiangjuan Liu (618000)

"…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. …"

Panel unit root test result. حسب Getachew Magnar Kitila (19935139)

"…The empirical findings show that greater trade openness is associated with significantly higher CO2 emission, additionally; it demonstrates that the influence is heterogeneous across different CO2 emission quantiles in African countries. …"

Analysis of raw data prediction results. حسب Xiangjuan Liu (618000)

"…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. …"