The concentrations of measure phenomena were discovered as the mathematical
background to statistical mechanics at the end of the nineteenth/beginning of the twentieth …

This article presents a new methodology for investigation of the organization of the overall
and hemispheric brain network of patients with attention-deficit hyperactivity disorder …

Single-cell transcriptomic assays have enabled the de novo reconstruction of lineage
differentiation trajectories, along with the characterization of cellular heterogeneity and state …

Dealing with uncertainty in applications of machine learning to real-life data critically
depends on the knowledge of intrinsic dimensionality (ID). A number of methods have been …

Catalysis informatics is a distinct subfield that lies at the intersection of cheminformatics and
materials informatics but with distinctive challenges arising from the dynamic, surface …

Constructing distributed representations for words through neural language models and
using the resulting vector spaces for analysis has become a crucial component of natural …

Understanding the etiology of metastasis is very important in clinical perspective, since it is
estimated that metastasis accounts for 90% of cancer patient mortality. Metastasis results …

The problem of evaluating an individual's risk of drug consumption and misuse is highly
important and novel. An online survey methodology was employed to collect data including …

Cancer is a complex and heterogeneous disease that exhibits high levels of robustness
against various therapeutic interventions. It is a constellation of diverse and evolving …

The curse of dimensionality causes the well-known and widely discussed problems for
machine learning methods. There is a hypothesis that using the Manhattan distance and …