Environmental Health

Demographic and emission drivers of household air pollution in biomass using communities.

This study investigates household air pollution from biomass combustion by integrating a household survey, experimental stove testing, and data-driven analysis. A structured survey of 1200 households captured socio-economic conditions, cooking practices, and health outcomes, showing that 57.4% rely on agriculture and 14.8% report health symptoms linked to traditional stove use, while 33.1% have ad...

Parent compounds and soil properties as primary drivers of neonicotinoid transformation products in surface soils from an intensive agricultural Basin in Central China.

Some transformation products of neonicotinoid insecticides (TPNNIs) exhibit ecological and potential human health risks comparable to or exceeding those of their parent neonicotinoids (pNNIs). Therefore, understanding their environmental occurrence and identifying the key factors governing their residues are essential for effective pollution control and prevention. In this study, we investigated t...

Assessment of ambient air pollution and health risks using satellite remote sensing in the garment industrial belt of Savar and Gazipur, Bangladesh.

Particulate matter (PM₂.₅ and PM₁₀) pollution in rapidly industrializing regions poses significant environmental and public health risks. This study p...

A portable source-informed machine learning framework for predicting heavy metals in legacy smelting sites with strong spatial heterogeneity.

Legacy smelting sites often exhibit strong point-source control, highly right-skewed concentration distributions, and pronounced vertical stratificati...

Multi-year monitoring and modeling of benthic environmental improvement by oyster shell capping on coastal sediments.

This study evaluated the multi-year efficacy of oyster shell (OS) capping for reducing benthic phosphorus release and improving coastal ecosystems by ...

Photodegradation behavior, toxicity assessment, and machine learning model of liquid crystal monomers on soil minerals and soils.

Liquid crystal monomers (LCMs) are proposed as persistent, bioaccumulative, and toxic emerging contaminants of global concern; however, their transfor...

Efficacy and safety evaluation of artificial intelligence-identified antimicrobial peptides targeting avian pathogenic Escherichia coli in broiler chickens.

BACKGROUND: The overuse of antibiotics in both veterinary and human medicine has resulted in the emergence of antibiotic-resistant bacteria, prompting...

The association between artificial intelligence anxiety and occupational anxiety among emergency department healthcare workers.

INTRODUCTION: While the integration of artificial intelligence (AI) into healthcare services has the potential to improve the quality of patient care ...

Co-application of pan-genomics and machine learning uncovers novel insights into the maintenance and evolution of microcystins production trait in Microcystis.

Microcystins (MCs), the potent hepatotoxins produced by toxic strains of Microcystis and other cyanobacteria, pose a major threat to freshwater ecosys...

Crystal Facet Engineering-Photoexcitation-Machine Learning Synergy on Cu2O/CuO Heterojunctions for High-Performance Triethylamine Sensing.

Triethylamine (TEA), a typical biogenic amine indicative of protein spoilage and a common toxic chemical pollutant, requires highly sensitive detectio...

Artificial intelligence and advanced monitoring for air and water pollution control in the USA: opportunities, challenges, and policy directions.

In this review article, we present the current state of artificial intelligence and advanced technologies in air and water pollution monitoring in the...

Tetrahedral framework nucleic acids as a promising vehicle for small molecule drugs of traditional Chinese medicine: application to disease prevention and treatment.

The modernization of Traditional Chinese Medicine (TCM) faces considerable challenges, primarily due to the poor water solubility, low chemical stabil...

Efficiently quantifying thermodynamic and kinetic effects of biochar pyrolysis parameters on antibiotic adsorption from water using interpretable causal machine learning.

Antibiotic pollution in aquatic environments threatens ecological and public health. Biochar is a promising biomass-derived adsorbent, yet its perform...

Decoding seasonal irrigation suitability of drain water using integrated indexical, statistical, graphical and machine learning approaches.

SCOPE: Rapid urbanization and industrialization have exacerbated freshwater scarcity while simultaneously increasing wastewater generation, making the...

Global patterns of air pollution-attributable neonatal preterm birth mortality rates: a machine learning analysis using LSTM autoencoder and K-means clustering.

Neonatal preterm birth is a leading cause of neonatal mortality worldwide, and maternal exposure to air pollution is increasingly recognized as a cont...

Operational 24-h PM2.5 forecasting using ensemble methods and open-access satellite data: application to Dakar, Senegal.

Accurate short-term air quality forecasting is urgently needed in African megacities. Chronic PM2.5 pollution threatens public health in these cities....

Integrative Bioinformatics, Experimental Validation, and Interpretable Machine Learning Reveal Oxyresveratrol-Mediated Protection Against Cadmium-Induced Lung Adenocarcinoma-Related Transcriptional Dysregulation.

Cadmium (Cd) is a toxic heavy metal strongly implicated in lung adenocarcinoma (LUAD) through mechanisms involving oxidative stress, epigenetic dysreg...

Trends and developments in marine debris studies: A bibliometric review over two decades (2004-2024).

Marine debris has become a serious global environmental issue due to its increasing impacts on marine ecosystems, biodiversity, and human health. Larg...

Intelligent water environment diagnosis and treatment center: A machine learning framework for automated surface water pollution management.

Surface water quality is essential for public health and ecosystem sustainability, but pollution events arise from distinct biogeochemical mechanisms ...

Tubulointerstitial Diseases: An Updated Framework for Diverse and Emerging Entities.

Tubulointerstitial diseases represent a heterogeneous group of kidney diseases with diverse causes and overlapping histopathologic and immunophenotypi...