Environmental Health

Prediction of preparation conditions for low PAHs corn straw biochar guided by CatBoost model optimized via genetic algorithm and molecular dynamics simulation.

Biochar shows great potential in cultivated soil improvement, but its polycyclic aromatic hydrocarbons (PAHs) are toxic and may threaten ecological security and human health via the soil-plant system. To optimize low-PAHs biochar production, this study used corn straw as raw material, exploring the correlation between preparation conditions and PAHs formation through hydrothermal carbonization exp...

Integrative metabolomics and machine learning reveal the toxic mechanisms of elaidic acid in polycystic ovary syndrome.

BACKGROUND: Polycystic ovary syndrome (PCOS) is characterized by reproductive dysfunction and metabolic disturbances, including obesity, insulin resistance, and dyslipidemia. Dietary trans fatty acids, particularly elaidic acid (EA), have been implicated in metabolic disorders, but their role in PCOS pathogenesis remains unclear. METHODS: A letrozole combined with high-fat diet induced PCOS rat mo...

Advances and Sustainable Implementation of Nanomaterials in Water Remediation: A Comprehensive Review.

To overcome global water scarcity and pollution, nanomaterials have emerged as revolutionary tools for water remediation owing to their unique physico...

Environmental PET-microplastic exposure and risk of non-alcoholic fatty liver disease: An integrated computational toxicology and multi-omics study.

The escalating severity of global microplastic pollution has triggered significant public health concerns. Polyethylene terephthalate (PET), a ubiquit...

A fuzzy ZE-number group decision-making framework using BWM and MABAC for risk assessment in medicinal plant extraction.

The extraction of bioactive compounds from medicinal plants is a crucial process in pharmaceutical and herbal medicine industries, yet it presents num...

Reliable detection of focal onset impaired awareness seizures in patients with epilepsy using wearable ECG: Development and validation study.

BACKGROUND: Underreporting of seizures, particularly focal onset impaired awareness seizures (FIAS), compromises the effectiveness of patient care and...

ParetoGen: Generative Machine Learning Models To Push the Pareto Optimal Frontier of Functionality-Hazard Trade-offs in Per- and Polyfluoroalkyl Substances Green Alternative Designs.

Faced with chemical pollution that has exceeded the planetary boundaries, endeavors must be directed toward designing green alternatives to reduce the...

Human and environmental controls on soil contamination in a dust-prone region revealed by random forest and Shapley additive explanations analysis.

Accurate prediction of the spatial distribution of potentially toxic elements (PTEs) and identification of the most important environmental drivers ar...

Deciphering the air pollution-osteoarthritis relationship: insights from network toxicology, integrated machine learning, and molecular docking.

Mounting evidence suggests an association between air pollution and the pathogenesis of osteoarthritis (OA), yet the underlying molecular mechanisms r...

PM10 Impairs CD56dim NK Cell Cytotoxicity via FNBP1 Suppression to Exacerbate Rheumatoid Arthritis: Insights from Multimodal Multi-Omics.

Air pollution (AP), intensified by industrialization and urbanization, is a key environmental factor linked to rheumatoid arthritis (RA). However, its...

Integrated Human Organic Pollutant Exposome and Metabolome Analysis Reveals Biomarkers and Health Risks from Electronic Waste Exposure.

Escalating global electronic waste (e-waste) generation contrasts with <20% formal recycling rates. Policy gaps and inadequate enforcement exacerbate ...

Adaptive learning rate optimization in deep recurrent architectures for precision PM2.5 forecasting under climate variability.

Accurate forecasting of fine particulate matter (PM_{2.5}) is critical for safeguarding public health; however, conventional deep learning models freq...

Harnessing AMF-plant-microbe systems for heavy metal remediation.

Soil heavy metal pollution poses a global environmental threat, demanding effective and sustainable remediation strategies. Arbuscular mycorrhizal fun...

A deep learning model based on multi-scale self-attention mechanism and 3D EEM fluorescence spectroscopy for water pollution source apportionment: Emphasis on EEM regional feature analysis.

Assessing water quality is crucial for public health and environmental sustainability. While excitation-emission matrix (EEM) spectroscopy provides "f...

Investigating explainable arrhythmia classification using class-specific ensemble model from segmented ECG signals.

Accurate arrhythmia classification from short clinical ECGs is hard to achieve and explain. Prior studies are often single-lead, use uniform model fus...

Deep learning-based estimation of lung collapse in electrical impedance tomography: A simulation and phantom study.

Inhomogeneity of air volume distribution in the lungs of mechanically ventilated patients can lead to lung collapse and overdistention, increasing the...

HEDGE Index: A Data-Driven Framework Overcoming the Limitations of TEFs for Prioritizing Polycyclic Aromatic Hydrocarbon Risks.

Conventional risk assessment of airborne polycyclic aromatic hydrocarbons (PAHs), based on carcinogenicity-focused toxic equivalency factors (TEFs), l...

Machine learning estimates for G20 subnational urban GHG emissions from 2000-2020.

Reliable, comparable greenhouse gas (GHG) emissions data at the subnational level remain scarce, despite growing expectations for cities and regions t...

Knowledge-Guided Deep Learning Framework for Source Apportionment and Mitigation of Perchlorate Contamination in River Basins.

Fireworks production leads to severe perchlorate contamination in aquatic systems, yet traditional approaches struggle to resolve the spatially couple...

A framework for unveiling multi-pathway mechanisms of soil heavy metal pollution: Evidence from five major urban agglomerations in China.

Urban agglomeration (UA) development exacerbates heavy metal contamination in farmland soils. Spatial patterns and region-specific drivers of this pol...