Environmental Health

Effects of steep Trendelenburg position for robotic-assisted prostatectomies on intra- and extrathoracic airways in patients with or without chronic obstructive pulmonary disease.

BACKGROUND: The use of the steep Trendelenburg position and abdominal CO2-insufflation during surger...

Modelling personal exposure to particulate air pollution: an assessment of time-integrated activity modelling, Monte Carlo simulation & artificial neural network approaches.

An experimental assessment of personal exposure to PM10 in 59 office workers was carried out in Dubl...

Machine learning models for forecasting microplastic dynamics in China's coastal waters.

Understanding spatial-temporal microplastic (MP) patterns and regional drivers in China's coastal wa...

Prediction of pesticide runoff at the global scale and its key influencing factors.

The prediction of pesticide loss in runoff water is a critical step in quantifying pesticide polluti...

Prediction of airborne bacterial concentrations and identification of critical factors in contaminated waste facilities: Insights into interpretable machine learning models.

The efficient prediction of airborne bacterial concentrations is crucial for better understanding an...

Advanced three-dimensional prediction model based on stable machine learning for soil pollution: A case study from a contaminated site in Southern China.

With over five million contaminated sites worldwide, accurately characterizing the three-dimensional...

Quantifying role of source variations on PM-bound toxic components under climate change: Measurement at multiple sites during 2018-2022 in a Chinese megacity.

Understanding the response of PM-bound toxic components to source variations under climate change is...

A framework for spatial correlations between industrial pollution sources and groundwater vulnerabilities based on machine learning and spatial cluster analysis: Implications for risk control.

The efficacy of groundwater pollution risk control is often limited by a lack of information on spat...

PM pollution characteristics, drivers, and regional transport during different pollution levels in Linyi, China: An integrated PMF-ML-SHAP framework and transport models.

Despite significant progress in air quality improvement, heavy fine particulate matter (PM) pollutio...

Advancing wetland groundwater pollution zoning: A novel integration of Monte Carlo health risk modeling and machine learning.

Wetlands serve as crucial water reservoirs, providing essential water resources for the surrounding ...

Heuristic Topological Graph Convolutional Network for Risk Prediction of Potentially Toxic Elements in Cultivated Soils.

Contamination of cultivated soils with potentially toxic elements (PTEs) poses a growing threat to g...

DGMM: A Deep Learning-Genetic Algorithm Framework for Efficient Lead Optimization in Drug Discovery.

Lead optimization in drug discovery faces the dual challenge of maintaining structural diversity whi...

Assessing risk of groundwater pollution exposure from sea level rise in California.

Sea level rise (SLR) will cause a groundwater table rise in coastal aquifers, and this can trigger e...

Automatic and precise identification of volatile organic compounds from gas chromatography in prolonged atmospheric monitoring.

Long-term continuous monitoring of volatile organic compounds (VOCs) is pivotal for climate change r...

A large language model for predicting neurotoxic peptides and neurotoxins.

The accurate prediction of neurotoxicity in peptides and proteins is essential for the safety evalua...

Polarization of dryland vegetation response to spring flood.

Dryland vegetation plays a pivotal role in the global ecosystem and is extraordinarily sensitive to ...

2025 Southeastern Surgical Congress Presidential Address: Leadership and Innovation in Surgery: A Vision for the Future.

Surgeons have always been at the forefront of transformative change in medicine-driven by a unique b...

Unique bioaccumulation and biosynthesis of arsenobetaine in marine fish.

Arsenic (As) contamination represents a significant global concern, particularly prevalent in region...

Artificial Intelligence in Pediatrics: An Opportunity to Lead, not to Follow.

Unraveling soil salinity on potentially toxic element accumulation in coastal Phragmites australis: A novel integration of multivariate and interpretable machine-learning models.

Revealing the key mechanisms influencing the behavior of potentially toxic elements (PTEs) in soil-p...

Heart failure monitoring with a single‑lead electrocardiogram at home.

BACKGROUND: Repeated hospitalization due to heart failure (HF) is a significant predictor of mortali...