A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to read peptide sequences with far greater accuracy than previous methods.

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

Abstract: This paper investigates the joint service caching and computation offloading optimization problem in a multi-UAV-enabled mobile edge computing (MEC) system. The problem is formulated as a ...

Abstract: Three-dimensional (3D) wideband electromagnetic scattering underpins applications from radar cross section (RCS) analysis to stealth design, yet existing numerical methods often demand ...

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...

The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

A few years ago, I followed the life of a cheese curd, from milk on a dairy farm to fresh cheese in Ellsworth, Wis., to deep-fried glory at the Fair. On the Fairgrounds, though, there are plenty of ...

ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...