In the paper, author considers a new method for constructing the quasi-equilibrium thermodynamics of a system of ...

Graph convolutional networks (GCNs) emerge as the most successful learning models for graph-structured data. Despite their success, existing GCNs usually ignore the entangled latent factors typically ...

Charts and graphs : guidelines for the visual presentation of statistical data in the life sciences by Simmonds, Doig; Bragg, Gillian; Institute ofMedical and Biological Illustration Publication date ...

Criminal defense attorney Fred Hafetz and Sentencingstats.com, Inc. co-founder Mark Allenbaugh provide an analysis based on U.S. Sentencing Commission data of the difference in sentences between ...

However, even a well-designed and properly conducted study with a statistical significant P-value does not always imply real clinical significance. At first glance, we may ask ourselves: how could ...

From the HVG of the PD signals, several spectral graph features were extracted for recognition of PD signals. The extracted features were further subjected to analysis of variance (ANOVA) test to ...

Whether antiretroviral therapy (ART) is always completely suppressive, or HIV might continue to replicate at low levels despite ART in some people with HIV (PWH), is still debated. Here, we ...