Environmental Health

The melting properties of choline chloride in the representation of deep eutectic system phase diagrams.

Choline chloride (ChCl) is the cornerstone of deep eutectic solvents (DES), yet its melting properties remain an important source of uncertainty in the thermodynamic description of eutectic systems. Since ChCl decomposes before melting, reported values of its melting temperature (597 to 687 K) and enthalpy (4.3 and 13.8 kJ mol-1) vary widely, while for the heat capacity change between solid and li...

Combined Effects of Long-Term Sulfur Dioxide Exposure and Environmental Heat Stress on the Risk of Kidney Stone Disease.

OBJECTIVES: Kidney stone disease is influenced by environmental, metabolic, and climatic factors. Although sulfur dioxide and environmental heat stress have each been associated with renal dysfunction, their combined long-term effects on kidney stone development remain unclear. This study examined whether chronic exposure to ambient sulfur dioxide and environmental heat stress was associated with ...

Environmental Exposures and Neuroimaging in Children with Neurodevelopmental Disorders: A Scoping Review.

PURPOSE OF REVIEW: Neurodevelopmental disorders (NDDs) such as autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) have...

Current Status of Smart Technology Applications and Food Safety Implications in Precision Millet Fermentation: A Critical Review.

Millet fermentation has gained significant attention due to its numerous health benefits, owing to its higher dietary fiber and gluten-free properties...

In silico identification of NPACT-derived PAK1 inhibitors using machine learning, molecular docking, and dynamic simulation approaches.

P21-activated kinase 1 (PAK1) is a key serine/threonine kinase involved in cytoskeletal remodeling, cell proliferation, and survival, and its aberrant...

Prediction Models of Polycyclic Aromatic Hydrocarbons in Urban Road Dust via Magnetic Properties, Particle Size, and Urban Environmental Features.

This study explores the novel application of artificial neural networks to predict polycyclic aromatic hydrocarbons (PAHs) pollution in urban road dus...

An integrative machine learning and structure-driven drug repositioning strategy for human IRAK4-targeted cancer therapy.

The upregulation of interleukin-1 receptor-associated kinase 4 (IRAK4) drives pro-tumorigenic signaling across various malignancies. Currently availab...

Lipase-Catalyzed Enantioselective Resolution of Chiral Pesticides and Herbicides: Advances in Biocatalysis and Enzyme Engineering.

Chiral pesticides and herbicides (CPHs) show significant enantioselective differences in bioactivity, toxicity, and environmental behavior, making sin...

Oil spill segmentation of noisy SAR images using domain adaptation based UNet.

Oil spills dampen the water bodies, causing serious threats to the marine environment. In this paper, oil spill detection and segmentation in satellit...

Physics-based models outperform AI weather forecasts of record-breaking extremes.

Artificial intelligence (AI)-based models are revolutionizing weather forecasting and have surpassed leading numerical weather prediction systems on v...

Growing impacts of fire smoke on ozone pollution and associated mortality burden in the United States.

Fire smoke pollution is an emerging health risk factor, yet prior studies have focused mostly on fine particulate matter (PM2.5) and neglected the hea...

Dual framework for rainfall prediction: a multi-seed machine and deep learning evaluation across Pakistan's climatic regimes.

Accurate prediction of rainfall events is vital for agriculture, hydrology, flood preparedness, and climate-adaptive strategies in regions of Pakistan...

Machine learning-driven groundwater quality classification using physicochemical parameters and regulatory thresholds.

Groundwater contamination poses a critical challenge to public health and environmental sustainability, particularly in rapidly urbanizing regions. En...

Innovative approaches to mitigating persistent toxic substances and their impacts on soil health and human well-being.

Persistent toxic substances (PTS), including heavy metals, persistent organic pollutants (POPs), and persistent, mobile, and toxic/very persistent and...

Source characterization of trace elements and impacts of salinization using geochemical modelling with machine learning approach and Monte-Carlo based health risk assessment in coastal aquifer zones.

This work investigated the trace element contamination, spatial distribution and their source of origin along with health risk assessment in the coast...

A physically constrained and interpretable deep learning framework for PM2.5 inversion under sparse monitoring conditions in arid regions.

Monitoring fine particulate matter (PM2.5) in arid regions remains difficult due to sparse ground-based networks and frequent extreme pollution episod...

Global Co-Occurrence Patterns of Ischemic Heart Disease and Metabolic Dysfunction-Associated Steatotic Liver Disease: Spatial Clusters, Risk Factors, and Quality-of-Care Index.

BACKGROUND: Ischemic heart disease and metabolic dysfunction-associated steatotic liver disease represent significant global health challenges, charac...

Machine learning-based disentanglement of meteorological and anthropogenic drivers of ozone pollution in the Chengdu-Chongqing urban agglomeration.

To clarify the relative contributions of meteorological conditions and anthropogenic activities to ozone (O3) pollution in the Chengdu-Chongqing urban...

Unraveling spatial distribution and associated factors of bisphenol analogues in the Yangtze River Delta: A machine learning approach.

Bisphenol analogues (BPs) are widely detected in aquatic environments; however, comprehensive spatial characterization across large river systems rema...

Selective and Sustainable Recovery of High-Value Metals from e-Waste via a Glucose-Mediated Hydrothermal Process.

The rapid fabrication of artificial intelligence-based hardware worldwide is intensifying the electronic waste (e-waste) crisis, threatening ecosystem...