Carbon dots (CDs) are fluorescent carbon nanomaterials typically less than 10 nm in size with excellent water solubility, low toxicity, high biocompatibility, favorable optical properties, and modifiable surface. CDs have great promise in various fie...
Inspired by the perception and temperature regulation functionalities of human skin, multifunctional electronic skin (E-skin) for human motion detection and personal thermal management has attracted great attention. Here, we design an E-skin with str...
The Journal of neuroscience : the official journal of the Society for Neuroscience
Nov 5, 2025
In humans, the superior temporal sulcus (STS) combines auditory and visual information. However, the extent to which it relies on visual information from the ventral or dorsal stream remains uncertain. To address this, we analyzed open-source functio...
BACKGROUND: H3 influenza A viruses (IAV) have been shown to frequently cross the species barrier which can be an important factor in sustained transmission and spread. Machine learning methods have been widely explored for host prediction of IAV usin...
This paper addresses the critical challenge of tire-road contact dynamics in intelligent transportation systems, particularly for Level 4 autonomous driving. Traditional empirical models fail to accurately predict tire behavior on unstructured road s...
This study investigates the specific impacts of Industry 4.0 technologies-such as artificial intelligence, Internet of Things (IoT), and data-driven automation-on collaboration, communication, service efficiency, and organizational performance within...
The sustainable development of agriculture hinges on effective fertilizer management, and China's experience with chemical fertilizer overuse highlights the challenges and opportunities in this domain. This study examines the impact of agricultural s...
Driver drowsiness is a leading cause of traffic accidents and fatalities, highlighting the urgent need for intelligent systems capable of real-time fatigue detection. Although recent advancements in machine learning (ML) and deep learning (DL) have s...
PURPOSE: Explore public perceptions and sentiments about cancer screening on social media. The dissemination of misinformation and negative attitudes continue to impede the access of many individuals with perceived risk to cancer screening services d...
BACKGROUND: The exact mechanisms underlying paediatric abdominal pain (AP) remain unclear due to patient heterogeneity. This preliminary study aimed to identify AP phenotypes and develop predictive models to explore associated factors, with the goal ...
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