A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...

A research team has developed a nanocomposite-modified microelectrode array (MEA) that enables long-term, high-sensitivity ...

It is now well accepted that cells of the nervous and immune systems communicate through bidirectional signaling mediated by the release of cytokines, ...

This work presents valuable new data on the role of D-Serine and how it competes with its stereoisomer L-Serine to influence metabolism. The work presents a variety of solid experimental data combined ...

Objective Inflammation and repair responses may be involved in atherosclerosis in rheumatoid arthritis (RA), although ...

Abstract: Neural network (NN) is a prominent intelligent model to process information through the connection and activation of multilayer neurons. However, NNs usually encounter with the incorrect ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large ...

The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Leuphasyl (pentapeptide‑18, sequence Tyr‑D‑Ala‑Gly‑Phe‑Leu) emerges as a compelling research tool in neuromuscular and tissue ...

Objectives The central nervous system is a significant extraglandular target in primary Sjögren’s syndrome (pSS), often ...