In complex systems, a significant challenge is to quantify emergent phenomena through data-driven methods. In a recent ...

People with cognitive impairments have fewer gut microbes and less microbial diversity. That’s good news because we can ...

To increase the robustness to weak labels, we first adjust the classification margin of negative labels using the label causality matrix, which is constructed by the conditional probability of label ...

Cortez, one of the most recognizable figures in contemporary progressive politics, sat down for an interview with then ...

Python version is here) This toolbox includes several functional connectome measures, such as VARDNN-DI, VARDNN-GC, VARLSTM-GC, multivariate Granger Causality (GC), pairwise ... then show output of ...

Human papillomavirus (HPV) and hyperactivated YAP1 form a YAP1-HPV oncogenic alliance to drive the malignant transformation ...

A machine-learning method predicts whether a genetic variant is pathogenic and affects certain human tissues. The ...

With summarized data from publicly available genome-wide association studies (GWASs), a two-sample Mendelian randomization (TSMR) analysis is conducted on the causality between the exposure and the ...

After hours: September 24 at 4:02 PM EDT Loading Chart for MTRX ...

Thomas, M. P. and King, J. E. 1994. Comparison of the ageing behaviour of PM 2124 Al alloy and Al-SiCp metal-matrix composite. Journal of Materials Science, Vol. 29 ...