Latest AI and machine learning research in environmental health for healthcare professionals.
The proliferation of toxigenic fungi in food and the subsequent production of mycotoxins constitute a significant concern in the fields of public health and consumer protection. This review highlights recent strategies and emerging methods aimed at preventing fungal growth and mycotoxin contamination in food matrices as opposed to traditional approaches such as chemical fungicides, which may leave...
The efficacy of groundwater pollution risk control is often limited by a lack of information on spatial correlations between industrial pollution sources and groundwater vulnerabilities. To overcome this limitation, a novel data-driven framework was established to reveal the spatial correlations between industrial pollution sources and groundwater vulnerabilities in Guangdong Province, China, main...
This paper presents a comparative benchmark evaluating the performance of Typica.ai's custom Moroccan Darija toxicity detection model against major ...
In this study, umami peptides with binding activity to the umami receptor T1R1/T1R3 were screened and identified from soybean protein. Using virtual e...
BACKGROUND: Exposure to air pollution and meteorological conditions, such as humidity, has been linked to adverse respiratory health outcomes in child...
PM constitutes a complex and diverse mixture that significantly impacts the environment, human health, and climate change. However, existing observati...
It is more attractive to develop effective strategies to reduce sugar intake without compromising food quality with the rising prevalence of obesity a...
This study investigates gender-based differences in online communication patterns of academics, focusing on how male and female academics represent ...
If a product deviates from its desired properties in the injection moulding process, its root cause analysis can be aided by models that relate the ...
The expansion of large-scale text-to-image diffusion models has raised growing concerns about their potential to generate undesirable or harmful con...
High-quality preference data is essential for aligning foundation models with human values through preference learning. However, manual annotation o...
Accurate 3D trajectory data is crucial for advancing autonomous driving. Yet, traditional datasets are usually captured by fixed sensors mounted on ...
Shape completion networks have been used recently in real-world robotic experiments to complete the missing/hidden information in environments where...
In this work, we build the first benchmark dataset for short-form UGC Image Super-resolution in the wild, termed KwaiSR, intending to advance the re...
Event cameras promise a paradigm shift in vision sensing with their low latency, high dynamic range, and asynchronous nature of events. Unfortunatel...
Hate speech detection is a crucial area of research in natural language processing, essential for ensuring online community safety. However, detecti...
Recent advances in R1-like reasoning models leveraging Group Relative Policy Optimization (GRPO) have significantly improved the performance of lang...
Many social media studies argue that social media creates echo chambers where some users only interact with peers of the same political orientation....
One of the key safety considerations of battery manufacturing is thermal runaway, the uncontrolled increase in temperature which can lead to fires, ...
Software testing is crucial for ensuring software quality, yet developers' engagement with it varies widely. Identifying the technical, organization...