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)

The test steps. by Ruihong Wang (1932328)

AI-based subcluster analysis. by Verena Fischer (3857632)

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. …”

Concordance of significant images between the AI and experts. by Junseok Park (4167106)

“…<p>All the four images were classified as significant with 0.8 or higher probability and based on manual classification by experts (left side of the images). …”

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

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

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

Mapping of the AI’s forecast to the AI’s message. by Mohammad Rashedul Hasan (16617899)

AI-based Education in Geography in Tanzania by Siqin Wang (10575665)

AI-Based Forecasting of Polymer Properties for High-Temperature Butyl Acrylate Polymerizations by Jelena Fiosina (19233697)

“…However, simulations can be computationally demanding, requiring significant time and memory resources. Therefore, this study aims at applying AI-based forecasting of tailored polymer properties and using a kinetic Monte Carlo simulator for the generation of training and test data. …”

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)

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Gradation of the fine aggregates determined by step-by-step filling. by Zhijun Liu (35566)

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T-test statistical significance results. by Ahmed Hamza Osman (10189569)

3D UMAP of immune cell AI-based subclusters based on all samples of the dataset. by Verena Fischer (3857632)

AI-Assisted Disease Monitoring Using Stretchable Polymer-Based Sensors by Tianliang Li (5181020)

“…Flexible sensors have attracted significant attention for medical applications. Herein, an AI-assisted stretchable polymer-based (AISP) sensor has been developed based on the Beer–Lambert law for disease monitoring and telenursing. …”

AI-Assisted Disease Monitoring Using Stretchable Polymer-Based Sensors by Tianliang Li (5181020)

“…Flexible sensors have attracted significant attention for medical applications. Herein, an AI-assisted stretchable polymer-based (AISP) sensor has been developed based on the Beer–Lambert law for disease monitoring and telenursing. …”