Included studies basic characteristics. by Xuqin Du (8803772)

“…Compared to standard treatment, QJHTD significantly improved pulmonary function, with increases in FEV1 (MD = 0.32, 95% CI [0.25, 0.38], <i>p </i>= 0.000), FVC (MD = 0.30, 95% CI [0.22, 0.37], <i>p </i>= 0.000), FEV1/FVC (MD = 5.58, 95% CI [4.81, 6.34], <i>p </i>= 0.000), and PaO₂ (MD = 9.62, 95% CI [6.17, 13.08], <i>p </i>= 0.000), and a decrease in PaCO₂ (MD = -9.12, 95% CI [–11.96, –6.28], <i>p </i>= 0.000). …”

Forest plot for FVC. by Xuqin Du (8803772)

“…Compared to standard treatment, QJHTD significantly improved pulmonary function, with increases in FEV1 (MD = 0.32, 95% CI [0.25, 0.38], <i>p </i>= 0.000), FVC (MD = 0.30, 95% CI [0.22, 0.37], <i>p </i>= 0.000), FEV1/FVC (MD = 5.58, 95% CI [4.81, 6.34], <i>p </i>= 0.000), and PaO₂ (MD = 9.62, 95% CI [6.17, 13.08], <i>p </i>= 0.000), and a decrease in PaCO₂ (MD = -9.12, 95% CI [–11.96, –6.28], <i>p </i>= 0.000). …”

All data extracted. by Xuqin Du (8803772)

“…Compared to standard treatment, QJHTD significantly improved pulmonary function, with increases in FEV1 (MD = 0.32, 95% CI [0.25, 0.38], <i>p </i>= 0.000), FVC (MD = 0.30, 95% CI [0.22, 0.37], <i>p </i>= 0.000), FEV1/FVC (MD = 5.58, 95% CI [4.81, 6.34], <i>p </i>= 0.000), and PaO₂ (MD = 9.62, 95% CI [6.17, 13.08], <i>p </i>= 0.000), and a decrease in PaCO₂ (MD = -9.12, 95% CI [–11.96, –6.28], <i>p </i>= 0.000). …”

Forest plot for TNF- by Xuqin Du (8803772)

“…Compared to standard treatment, QJHTD significantly improved pulmonary function, with increases in FEV1 (MD = 0.32, 95% CI [0.25, 0.38], <i>p </i>= 0.000), FVC (MD = 0.30, 95% CI [0.22, 0.37], <i>p </i>= 0.000), FEV1/FVC (MD = 5.58, 95% CI [4.81, 6.34], <i>p </i>= 0.000), and PaO₂ (MD = 9.62, 95% CI [6.17, 13.08], <i>p </i>= 0.000), and a decrease in PaCO₂ (MD = -9.12, 95% CI [–11.96, –6.28], <i>p </i>= 0.000). …”

Generated spline library. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Correlation coefficient matrix. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Actual measurement of shape errors. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

RMSE versus learning rate. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

RMSE versus training parameters. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Assembly process of machine recognition form. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Process of steel truss incremental launching. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

CGAN and AutoML stacking device. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Comprehensive prediction process of shape errors. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Shape error manual calculation process. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

U-wave estimates versus R-matrix noise variance. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Sliding window process. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Assembly error angle of a single spline. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Original record form of error matrix. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Form for machine recognition. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

RMSE versus architectural parameters. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”