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

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

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)

BA attenuated the decrease in the expression of ZO-1 and Occludin induced by LPS in Caco2 cells. by Luqiong Liu (11537092)

Diagram of patient selection. by Yuta Takeshima (818627)

Subjects:

Geographical distributions of the selected significant predictors of monthly average temperature. by Ta-Chien Chan (185120)

“…<p>Geographical distributions of the selected significant predictors of monthly average temperature.…”

BA attenuated the decrease in the integrity and increase in the permeability of the epithelial barrier injury induced by LPS in Caco2 cell monolayers. by Luqiong Liu (11537092)

GXM decreases the trans-endothelial electrical resistance (TEER) and transmigration of <i>C</i>. <i>neoformans</i> through HBECs in a blood brain barrier (BBB) model. by Hiu Ham Lee (15374677)

Y-27632 collaborated with BA to attenuate the increase in the integrity and decrease in the permeability of epithelial barrier injury induced by LPS in Caco2 monolayers. by Luqiong Liu (11537092)

“…<p>(<b>A)</b> Y-27632 collaborated with BA to attenuate the effect of LPS on TEER in Caco2 cells on days 1–22. (<b>B)</b> Y-27632 collaborated with BA to attenuate the effect of LPS on TEER in Caco2 cells on day 22. …”

Y-27632 synergized with BA to alleviate the decrease in the expression of and abnormal localization of ZO-1 and Occludin in LPS-induced Caco2 cells. by Luqiong Liu (11537092)

The average number of predictors selected as significant by each method under each <i>N.</i> by A. D. V. Tharkeshi T. Dharmaratne (12200879)

“…<p>The average number of predictors selected as significant by each method under each <i>N.…”

The Boruta algorithm model shows significant predictors with green boxplots. by Samer Mheissen (8748501)

Most significant predictors for the three most frequently studied outcomes. by Emmanuelle Sylvestre (4796061)

Subjects:

The statistical significance of Kendall’s correlation coefficient values between predictor and outcome variables is crucial for feature selection. by Xiaobo Qi (758907)

“…<p>The statistical significance of Kendall’s correlation coefficient values between predictor and outcome variables is crucial for feature selection.…”

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. …”

Scatter plots of the contrast gradient versus the outcomes for which the contrast gradient is a significant predictor. by Qiuyu Du (20760848)

Subjects:

Definitions, formulas and significances of the selected topographic factors. by Shima Esmailpour (20489428)

Feature importance of selected predictors by genetic algorithm. by Taiwo A. Adekunle (22226868)

Linear relationship between malnutrition and selected predictors. by Temesgen Muche Ewunie (12859102)

Predictor selection via LASSO regression analysis. by Xiaofeng Xu (103084)