Assembly process of machine recognition form. by 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. by 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. by 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. by 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. by 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. …”

Data Sheet 1_Temperature influences mood: evidence from 11 years of Baidu index data in Chinese provincial capitals.csv by Mengjiao Yin (10995604)

“…</p>Results<p>The results showed that for every 1°C increase in DMT, search indices for depression, anxiety, and loneliness increased significantly by 22.71%, 18.76%, and 19.59%, respectively (p < 0.01). Conversely, a 1°C increase in DTR led to decreases of 30.35%, 31.19%, and 15.41% in these indices (p < 0.05). …”

U-wave estimates versus R-matrix noise variance. by 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. by 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. by 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. …”

Data Sheet 1_Use of the Temperament and Character Inventory to describe the effectiveness of Gestalt therapy.docx by Benjamin Calvet (11671588)

“…</p>Results<p>Statistically significant differences between the initial and final mean scores were observed for anxiety (t = 16.46; p < 0.0001), depression (t = 11.24; p < 0.0001), and harm avoidance (t = 8.82; p < 0.0001), and global psychological distress assessed by VAS (t = 18.7; p < 0.0001) (all showing decreased scores). …”

Form for machine recognition. by 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. by 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. …”

Kalman process. by 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. …”

Attention mechanism. by 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 measurement results statistics. by 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. …”

Swimming endurance training reduces T-wave amplitude and area in <i>Mib1</i>^<i>flox</i><i>;Tnnt2</i>^<i>Cre</i> mice. by Vítor S. Fernandes (21262991)

“…<p><b>(A)</b> Representative QRS complex and T-wave, with (A’) a close-up of the T-wave in WT and <i>Mib1</i>^<i>flox</i><i>;Tnnt2</i>^<i>Cre</i> mice before the swimming protocol. …”

Puriton’s modulation effects on WBC composition in BALF and serum IgE. by So-Hyeon Bok (8066696)

“…<p>(A) Puriton decreased the number of WBC which was increased by ovalbumin treatment. …”

SLC response kinematics at 6 dpf. by Morgan Barnes (7876373)

“…<p>(A-B) C1 is the first C-bend performed. The angle and duration of the C1 bend is significantly decreased in 24 + fish (p < 0.0001 and p < 0.05) compared to the 24- fish and the C1 angle is decreased in 72 + fish (p < 0.05). …”

Model training and testing with H3K27Ac only emphasized the marker’s prominence in generalizing across the study’s GSC datasets. by Yusuke Suita (14381481)

“…The only dataset whose performance decreased is the study’s GSC2. This overall increase could be explained by a possible reduction in “noise” with the removal of the other epigenetic signals in training and the zeros that were proxies for those signals in testing.…”

Fig 2 - by Bernát Nógrádi (12264843)

“…However, the ratio of successful diagnoses was drastically decreased in the MDs group if the initial diagnosis was a non-acute disease. …”