Hydrogen bond interactions between Akt1/Akt2-IN-1 (red) and the AKT2 protein (blue) as predicted by molecular docking analyses. حسب Sadia Afrin Runa (22504971)

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Non-covalent interactions between Akt1/Akt2-IN-1 (ball stick) and the AKT2 protein as predicted by molecular docking analyses. حسب Sadia Afrin Runa (22504971)

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Summary of significant treatment × time effect. حسب Wensheng Xiao (16557866)

General linear mixed model coefficients and significance for species-specific ungulate intensity of use as a function of cattle grazing period. حسب Kathryn Knodel (20036529)

Prediction of the effect of the 9 nsSNPs on AKT2 proteins’ structure and function by eight computational tools. حسب Sadia Afrin Runa (22504971)

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Forest plot for the significant MR association between four mediators and anti-H. pylori IgG seropositivity. حسب Jing Wang (6206297)

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Altered expression of genes related to Ca²⁺ cycling or myocardial contraction. حسب Hongyu Li (1332669)

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miRNA 221 alleviated calcium overload in myocardium and inhibited the expression of apoptosis-related genes in MIRI mice. حسب Hongyu Li (1332669)

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The heart rate was similar among the groups. حسب Hongyu Li (1332669)

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S1 File - حسب Hongyu Li (1332669)

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miRNA 221 alleviated myocardial injury and inhibited apoptosis and necrosis of cardiac cells in MIRI mice. حسب Hongyu Li (1332669)

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Primer sequences for RT-qPCR. حسب Hongyu Li (1332669)

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miRNA 221 improved left ventricular contractile function in MIRI mice. حسب Hongyu Li (1332669)

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Testing set error. حسب Xiangjuan Liu (618000)

"…<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. …"

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

"…<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. …"

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

"…<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. …"

Flowchart of the STL. حسب Xiangjuan Liu (618000)

"…<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. …"

Bi-LSTM architecture diagram. حسب Xiangjuan Liu (618000)

"…<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. …"

STL Linear Combination Forecast Graph. حسب Xiangjuan Liu (618000)

"…<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. …"

LOSS curves for BWO-BiLSTM model training. حسب Xiangjuan Liu (618000)

"…<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. …"