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)

Subjects:

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. …”

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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Charging station placement optimization based on the location significance prediction by Daria Matkovic (19539339)

“…To address this issue, we introduce a novel approach to optimize the placement of electric vehicle charging stations, integrating a novel location-based charging station significance prediction model with a lion optimization algorithm (LOA) where the significance is defined as the combination of charging energy and the number of sessions. …”

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)

Survival covariate significance in survival prediction. by Teemu J. Rintala (19333003)

3D features significantly improve CRISPR prediction. by Shaked Bergman (18784567)

Subjects:

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. …”

RF model predictions based on a negative dataset. by Rimsha Bibi (20405012)

“…Feature extraction was based on known venom-derived approved peptide-based drugs. …”

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

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

“…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …”

Number of CTD inferred g2p edges discovered with cluster predicted to be significant vs non-significant based on the four thresholds. by Michael S. Bradshaw (11772750)

“…<p>Number of CTD inferred g2p edges discovered with cluster predicted to be significant vs non-significant based on the four thresholds.…”

Significance analysis results. by Yicheng Long (366418)

“…<div><p>Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. …”

Predicted cost of significant obstetric complication from fitted model. by A. Thi Win Shwe (6490502)

Comparison of the estimated SNP-based heritability and predictive performance across the 813 traits with significant PRSs. by Yosuke Tanigawa (8805017)

<i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

Univariate BOLD activity in the hippocampus did not significantly predict inference performance. by Sam C. Berens (13970497)

DataSheet4_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.pdf by Daniel Deme (12023909)

“…</p><p>Conclusion: Based on our analysis, we can confirm that the complex monitoring of CRP, albumin, and PLR would provide a good estimation of OS. …”