Data Sheet 1_Adaptation of thoracic and lumbar curvature and spinal muscle activity under changing gravity.pdf حسب Anita Meinke (14137836)

"…</p>Results<p>Spinal flattening was observed during micro-gravity exposure, with changes most pronounced in the upper lumbar and lower thoracic spine. Mean-normalized area between the back and backpack decreased significantly in micro-gravity compared to earth-gravity (p = 0.001), but not during hyper-gravity (p = 1.00). …"

S1 Data - حسب Yumeng Zhang (3115050)

"…The results of this study suggest that the level of well-being as a whole, as well as in the eastern, central and western regions increased significantly over the period, with an “east-to-west decreasing” distribution in China. …"

Index system for well-being level. حسب Yumeng Zhang (3115050)

"…The results of this study suggest that the level of well-being as a whole, as well as in the eastern, central and western regions increased significantly over the period, with an “east-to-west decreasing” distribution in China. …"

DataSheet1_Association between amoxicillin administration and outcomes in critically ill patients with acute kidney injury.PDF حسب Xinyao Luo (12084194)

"…A dose‒response relationship was evident, with higher doses (>875 mg) further decreasing mortality rates. …"

<b>Differences in White Matter Microstructure in Children With Type 1 Diabetes Persist During Longitudinal Follow up: Relation to Dysglycemia</b> حسب Nelly Mauras (8103110)

"…</p><p dir="ltr">We observed in 182 children (121 type 1 diabetes, vs. 61 controls) who had testing at Time 4 that FA increased, and RD, AD, MD decreased significantly in both groups, with no differences between groups for FA, RD and MD over time. …"

Generated spline library. حسب Zhe Hu (787283)

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

Correlation coefficient matrix. حسب Zhe Hu (787283)

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

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

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

RMSE versus learning rate. حسب Zhe Hu (787283)

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

RMSE versus training parameters. حسب Zhe Hu (787283)

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

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

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

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

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

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

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

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

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

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

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

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

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

Sliding window process. حسب Zhe Hu (787283)

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

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

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

Form for machine recognition. حسب Zhe Hu (787283)

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

RMSE versus architectural parameters. حسب Zhe Hu (787283)

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"