A mathematical method borrowed from topology can reveal structural properties of visual art that correspond to how people perceive and respond to them, according to a new study published in PLOS ...

Abstract: Accurate prediction of drug-target interactions (DTIs) is crucial for accelerating drug discovery and reducing experimental costs. However, challenges such as sparse interactions and ...

Overlapping and weak fingerprints pose challenges in criminal cases. A new study offers a solution and brings hope for using chemical residues in fingerprints for personal profiling. A groundbreaking ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In the development of 2D metal–organic frameworks (MOFs) and 2D covalent organic ...

The Glitch in the Matrix phenomenon is an uncanny experience that seemingly can’t be explained rationally. As its name suggests, it’s inspired by a scene in 1999 sci-fi blockbuster The Matrix. Here, ...

Metal nanoparticles (NPs) are one of the most frequently used heterogeneous catalysts. However, only the surface atoms in the NPs can participate in catalytic reactions. To maximize the atomic ...

Abstract: Deep learning Transformer architectures play a critical role in developing advanced code prediction models, which are essential in modern Integrated Development Environments (IDEs).

ABSTRACT: This paper transforms combined loads, applied at an arbitrary point of a thin-walled open section beam, to the shear centre of the cross-section of the beam. Therein, a generalized ...