N-acetilcysteine prevents the <i>A</i>. <i>simplex</i> CE-induced TEER decrease. by Noelia Carballeda-Sangiao (2889611)

Increase in physical activity (100 step, 500 steps or 1000 steps) after the challenge according to decrease in screen time < or ≥60 minutes. by Annaëlle Le Steunf (19838110)

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. …”

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. …”

The test steps. by Ruihong Wang (1932328)

JNJ26993135 + BML-111 decreases permeability and enhances ZO-1 and claudin-1 induced by PAF but does not change TEER. by Kameljit K. Kalsi (16496511)

Transepithelial electrical resistance (TEER) (N = 6). by Shirko Marcel Shokr (19173337)

“…<p><b>(A)</b> During the cultivation of SMC and ALI we observed significantly differences on day 18 (SMC: 9.61 kΩ*cm²; ALI: 7.73 kΩ*cm²; p<0.05) and day 25 (SMC: 8.19 kΩ*cm²; ALI: 6.44 kΩ*cm²; p<0.05) ALI cultures showed significantly decreased values compared to SMC. …”

RMSE. by Pengfei Wu (3200082)

The RMSE of point to point movement results. by John David Prieto Prada (11883577)

RMSE results. by YueSheng Jiang (19267984)

Point range comparisons of RMSE. by Steven M. Pawley (18265087)

Performance through MAE, MSE and RMSE. by Ghulam Mustafa (458105)

“…Artificial Intelligence (AI) has increased the yield accuracy significantly. The existing Machine Learning (ML) methods are using statistical measures as regression, correlation and chi square test for predicting crop yield, all such model’s leads to low accuracy when the number of factors (variables) such as the weather and soil conditions, the wind, fertilizer quantity, and the seed quality and climate are increased. …”

Transepithelial resistance of NHBE decreases significantly after PAA exposure. by Ellie S. Burns (21246537)

RMSE metrics for different models at varying input sizes. by Xiangyue Zhang (9251306)

RMSE after embedding the CP module into different models. by Xiangyue Zhang (9251306)

Creep failure mode and sketch map of step-step fractured rock. by Dengke Yang (842532)

Definitions of treatment step classification. by Rieko Kondo (10010647)

Effect of step-by-step filling and compaction on the coarse aggregates. by Zhijun Liu (35566)

Subjects:

Results of the step-by-step filling test on the coarse aggregates. by Zhijun Liu (35566)

Subjects: