This paper contains valuable ideas for methodology concerned with the identification of genes associated with disease prognosis in a broad range of cancers. However, there are concerns that the ...

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...

In Sarah Yuska’s sixth-grade science class at Monocacy Middle School in Frederick, Maryland, students are just finishing up learning about body systems—respiratory, circulatory, skeletal, and so on.

Slapstick comedy is a purposefully exaggerated form of performance that can portray a cartoonish reality. In the world of slapstick, characters are constantly getting hurt, mugging their faces, ...

Although eosinophils were described more than a century ago, recent studies have shown that their functions extend far beyond their role as effector cells in the course of parasitic infection or in ...

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Inspired by the impressive reasoning capabilities demonstrated by reinforcement learning approaches like DeepSeek-R1, PeRL addresses a critical limitation in current multimodal reinforcement learning: ...

The Cartesian root-mean-square deviation (RMSD) of atomic coordinates is fundamental for comparing three-dimensional molecular structures, particularly in identifying and classifying molecular ...

Abstract: In artificial intelligence, it is crucial for pattern recognition systems to process data with uncertain information, necessitating uncertainty reasoning approaches such as evidence theory.