A novel hierarchical deep learning framework enables direct Desikan-Killiany brain parcellation using only diffusion ...

Engineering researchers at the University of California, Los Angeles (UCLA) have developed an advanced ...

Exploring the biomedical interactions for chemical compounds and protein targets is crucial for drug discovery. Determining these drug–drug interactions (DDI) and drug–target interactions (DTI) not ...

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to ...

Subcortical ischemic vascular disease (SIVD), driven by cerebral small vessel disease, is commonly characterized by white matter hyperintensities and multiple lacunar infarcts, and a substantial ...

Designing surfaces that precisely control how light behaves at the nanoscale is tricky. Optical Fourier surfaces, which are ...

PromptSE uses structured LLM prompting to generate pharmacologically relevant side-effect representations, then feeds them into deep learning models to predict drug-side effect associations. In ...

Researchers have developed a lightweight fault-diagnosis framework for high-speed train bogies that is designed for edge ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

As cities continue to expand, railways are expected to become an important component of urban mobility systems. Compared with ...