Environmental Health

From mapping to modelling: the evolving multidimensional microplastic risks in China's farmlands.

Agricultural soils are major sinks for microplastic (MP) pollution, yet the cascading drivers that shape multidimensional MP risks remain poorly understood, limiting our ability to project future trajectories under evolving socioeconomic conditions. Herein, a national-scale survey combined with Laser Direct Infrared Spectroscopy (LDIR) revealed widespread MP contamination in China's farmland, rang...

Effects of climate and air pollution on rates of hospitalization for affective mood disorders in southern Brazil.

Climate change and air pollution are two of the most pressing global challenges, increasingly recognized for their implications on health. Thus, we aimed to explore the associations between climate, air pollution and monthly hospitalization to Affective Mood Disorders (AMD). Clinical data were collected from the Hospital Morbidity System of the Unified Health System (SUS) for the city of Porto Ale...

Graph Machine Learning Can Estimate Drug Concentrations in Whole Blood from Forensic Screening Results.

LC-HRMS is widely used in forensic toxicology for broad-scope screening. When a newly emerging or rarely encountered compound is tentatively identifie...

Development and validation of an artificial intelligence-based model for predicting teicoplanin plasma concentrations in intensive care unit patients with pulmonary infections: a retrospective study.

INTRODUCTION: Teicoplanin is widely used to treat pulmonary infections, particularly in critically ill patients with gram-positive bacterial infection...

Multi-model forecasting of [Formula: see text] and [Formula: see text] in Abu Dhabi: benefits of correlation-based feature augmentation.

Air pollution, particularly Nitrogen Dioxide ([Formula: see text]) and ground-level ozone ([Formula: see text]), poses major risks to human health and...

Altitude-resolved prediction of roadside air pollution using UAV measurements and machine learning.

Artificial Intelligence Enabled Noninvasive Mapping of Cardiac Arrhythmia Origins Using the 12-Lead Electrocardiogram.

Artificial intelligence (AI) is reshaping cardiac electrophysiology by extracting information from electrocardiograms that exceeds human visual interp...

Machine Learning-Enhanced Raman Spectroscopy for Microfiber Detection: From Model Development to Coastal Investigation.

Microfibers are recognized as the most prevalent form of microplastics, with a widespread distribution across various ecosystems. The distinctive morp...

A Decade of Innovation in Hydrazine Detection Methods.

Hydrazine is an extremely toxic and carcinogenic compound extensively applied in industry, which prompts the development of sensitive and reliable sen...

Prediction and assessment of water quality index for surface water using 1D CNN and SVR models.

Water quality monitoring is essential for managing and protecting surface water resources. Traditionally, assessing water quality relied on time-consu...

On Demographic Group Fairness Guarantees in Deep Learning.

We present a comprehensive theoretical framework analyzing the relationship between data distributions and fairness guarantees in equitable deep learn...

Crude Oil Analysis by Low-Field NMR Relaxometry.

Reliable characterization of crude oil properties remains a central task in petroleum research and industry. Conventional methods established by ASTM ...

A collaborative strategy of multi-technology integration for mycotoxin risk assessment and early warning in edible and medicinal plants.

BACKGROUND: Mycotoxins are toxic secondary metabolites of toxigenic fungi, posing a significant threat to human health due to their widespread contami...

A data-mechanism integrated framework for elucidating the migration and attenuation of light non-aqueous phase liquids in the vadose zone.

Elucidating key driving factors and the underlying mechanisms governing the complex subsurface fate of Light non-aqueous phase liquids (LNAPL) is esse...

Pollution source identification, classification, and prediction in freshwater lakes: a hybrid water quality assessment framework integrating machine learning.

Freshwater ecosystems play a crucial role in maintaining ecological balance and supporting biodiversity. Assessing water quality and identifying pollu...

Novel cooking techniques and their impact on livestock meat quality: A comprehensive review of processing, eating, nutritional, and safety quality.

Traditional meat cooking methods, such as boiling, frying, and grilling, often lead to nutrient loss, reduced flavor, and microbiological safety risks...

Association between air pollution exposure and multimorbidity among middle-aged and older adults in China: a cross-sectional study.

As the world's population ages, multimorbidity is becoming an increasingly significant burden in the elderly population. Environmental exposures, part...

Research Directions for Promoting Applications of Advanced Oxidation Processes in Water Remediation.

Advanced oxidation processes (AOPs) are effective technologies for addressing the growing threat of water pollution to the eco-environment and human h...

Causal inference in health services research: concepts, methods and application perspectives.

Health services research faces the challenge of providing sound recommendations for action for the further development of health systems and care. The...

Data-Driven Approach toward the Quantification of Gases in a Complex Mixture Using a Non-Selective Single Metal Oxide Gas Sensor.

Detection of trace levels of volatile organic compounds (VOCs) has widespread applications, including wearable diagnostics, IoTs, and indoor air quali...