Researchers have built a graph neural network that classifies scientific papers by combining intuitionistic fuzzy uncertainty ...

Dreams and mind-wandering have long fascinated psychologists and researchers studying the human mind. This is partly because ...

Cohen’s influential research helped pin autism as a particularly male condition. As studies increasingly broaden our view of ...

Machine learning analysis reveals that different sensory experiences in autistic children correspond to unique patterns of brain connectivity. The research highlights how distinct brain networks shape ...

AbstractAs an independent literary critic, Junosuke Kobayashi is developing the “Modern Literature 2.0” project on note.com.

This paper proposes a new multi-echelon 4-D chaotic supply chain model (NME-4D-CSCM) incorporating a sinusoidal nonlinearity to better represent uncertainties in supply chain dynamics. The model ...

The M-polynomial is a powerful algebraic tool that encodes structural information of molecular graphs and enables the derivation of numerous degree-based topological indices through algebraic ...

AI models are good at finding answers to mathematical puzzles but are not as good at research judgment, according to ...

A series of Ukrainian strikes on data centres in Russia had Ukrainian President Volodymyr Zelenskyy claiming an additional ...

This article is the second attempt at genre quantification, following the previously published 'NTR Quantification ...

Data center construction is basically the only sector of the US economy that grew between August 2025 and 2026.

Mathematicians have derived exact closed-form topological descriptors for three families of giant benzenoid hydrocarbons, ...