Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration by Henry J. Tanudjaja (12106715)

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

Data Sheet 1_Validation of an MPS-based intestinal cell culture model for the evaluation of drug-induced toxicity.docx by Stefanie Hoffmann (3756733)

“…</p>Methods<p>The OrganoPlate^® intestinal model was qualified to be implemented as a routine test system for the early prediction of drug-induced GI toxicity based on the measurement of the tightness of the cell layer by measuring changes in the TEER. …”

NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

Median ATR-FTIR absorbance spectra of malignant (<i>n = 88</i>) and benign (<i>n = 78</i>) breast tissue samples. by Rock Christian Tomas (12003669)

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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. …”

A proposed working model of how the GmNN1/FT2a-GmNYFA-C-GmENOD40 module regulates nodulation in soybean. by Xinxin Li (281237)

Cortical mapping of fraction of significant voxels. by Satoshi Nishida (690175)

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

Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

MAE significance comparison between MSCALSTM and baseline models based on Energy dataset. by Zhifei Yang (14613332)

“…<p>MAE significance comparison between MSCALSTM and baseline models based on Energy dataset.…”

Cortical mapping of the fraction of significant voxels for binary-labeling models. by Satoshi Nishida (690175)

Comparison of the fraction of significant voxels between original and control word vector-based models. by Satoshi Nishida (690175)

Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

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)

Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

“…The shifts associated with non-significant prediction accuracies are greyed-out. <b>(c)</b> The results of the MDS for the key BO-NN features. …”

Significance test results of the basic model. by Shanshan Lu (580920)

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AIC and number of significant covariates (#) for the BF based and the saturated models over the 58 locations. by Ana Martins (187412)

The ten most significant features of the Random Forest model based on classification accuracy. by Nguyen Tat Thanh (10296398)

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