Researchers have developed a near-infrared (NIR) fluorescent nanosensor capable of simultaneously detecting and ...

This study highlights the use of transformer-based models to analyze Japanese tweets, improving real-time detection of heat ...

LOGICLENS, an emerging AI-driven video analytics start-up, has successfully secured its first investment from Qi Ventures. Qi ...

This study presents a valuable theoretical exploration on the electrophysiological mechanisms of ionic currents via gap junctions in hippocampal CA1 pyramidal-cell models, and their potential ...

Abstract: Recent years have witnessed remarkable advances in spatiotemporal predictive learning, with methods incorporating auxiliary inputs, complex neural architectures, and sophisticated training ...

Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China In specificity, if a comprehensive cognitive function is divided into distinct cognitive processing stages, ...

A clear understanding of the spatiotemporal evolution and driving factors of ecosystem service value (ESV) and the landscape ecological risk index (ERI) can effectively link human well-being and ...

Specifically, we propose a spatiotemporal graph convolutional network with a hierarchical structure (HiSTGCN) for fault diagnosis of industrial processes. First, a local-global graph framework is ...

Spatial and spatiotemporal variation are approximated as Gaussian Markov random fields (Thorson Skaug Kristensen Shelton Ward Harms Banante 2014 Ecology), which imply that correlations in spatial ...