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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Overview of the WeARTolerance program. by Ana Beato (20489933)

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

Human head modeling. by Wen-Ying Zhou (10049543)

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

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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Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

“…By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”

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)

Different effects of intervention: We simulate an intervention that decreases the nosocomial transmission rate by a factor of 70% (<i>β</i>→0.3<i>β</i>) starting from January 2011.... by Tal T. Robin (17847380)

Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

“…Nevertheless, research on glycosyltransferase-related lncRNAs (GTRLs) in endometrial cancer (EC) is still unclear. In this study, we constructed a novel prognostic model based on GTRLs using univariate Cox regression, Lasso, and multivariate stepwise Cox regression analysis. …”

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. …”

Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

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Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

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Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

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

Toroidal metamaterials. by Wen-Ying Zhou (10049543)

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Human tissue dielectric parameters. by Wen-Ying Zhou (10049543)

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Variations in SAR for individual organizations. by Wen-Ying Zhou (10049543)

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

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

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