Environmental Health

Air quality and health implications of exposure to ultrafine particle pollution.

AIMS: Ultrafine particles (UFPs) smaller than 100 nm are ubiquitous in polluted air. Although they carry little mass, UFPs have a large exposure surface area, can bypass respiratory defences, translocate into the brain and bloodstream, and impact the heart and other organs. Here, we assess the role of UFPs in air quality and the health burden they impose. METHODS AND RESULTS: We integrated Earth o...

Efficient Diagnosis of Spatiotemporal Evolution and Driving Factors of Surface Ozone Pollution Episodes: An Application in Jiangsu Province, China.

Severe ozone (O3) pollution is a major challenge for air quality improvement in China, primarily due to its spatiotemporal heterogeneity and nonlinear formation regimes. Here, we developed a novel framework to illustrate the spatiotemporal evolution of pollution episodes and to identify their recurrent driver modes and formation sensitivities in Jiangsu Province during the warm season from 2020 to...

Physics-informed, uncertainty-aware surrogate screening of gamma-ray attenuation in lead-free multicomponent oxide glasses.

Lead-free multicomponent oxide glasses are attractive candidates for gamma-ray shielding because their attenuation behavior can be tuned through compo...

Context-Aware Multilevel Classification of Semantic Relations in Drug-Adverse Drug Reaction (ADR) Networks-Predicting Drug-Induced Liver Injury (DILI) as a Case Study.

Adverse drug reactions (ADRs) are a major concern for public health and patient safety and a burden in drug discovery, with drug-induced liver injury ...

Association between persistent organic pollutants and malaria incidence in mainland China: a population-based surveillance and modeling analysis.

BACKGROUND: This study investigates malaria incidence trends in mainland China from 2005 to 2020, to elucidate its epidemiological characteristics and...

Air quality index prediction using machine learning regression models: A comparative analysis.

Air plays a vital role in human life, and poor air quality can lead to respiratory infections. Given the significant impact of air quality on people's...

Forecasting ambient PM2.5 and PM10 concentrations in Hisar City through machine learning.

The accurate prediction of particulate matter concentrations serves as the foundation for effective air quality management. Hisar City, which resides ...

Machine learning reveals distinct temperature thresholds and environmental modulators for atopic dermatitis and allergic contact dermatitis prevalence in South Korea.

Atopic dermatitis (AD) and allergic contact dermatitis (ACD) are common inflammatory skin diseases influenced by environmental factors, but disease-sp...

SST subseasonal-to-seasonal forecasting: A heterogeneous three-path fusion model with wavelet decomposition.

El Niño-Southern Oscillation (ENSO), the Earth's dominant mode of interannual climate variability, is closely linked to sea surface temperature (SST) ...

Pollution removal efficiency enhancement by agricultural biomass additions in constructed wetlands: A framework integrating meta-analysis with explainable machine learning.

The agricultural biomass addition on constructed wetlands (CWs) is a sustainable strategy that integrates pollution control with waste valorization. H...

Radon progeny monitoring outdoors using multiple NaI detectors.

Radon progeny may be used as tracers of environmental processes. In this work, a methodology involving two NaI(Tl) detector systems for the continuous...

Discovering hidden candidate plastic-degrading enzymes: Combined multi-omics and machine learning strategy.

Plastic pollution poses a major threat to the stability of natural ecosystems as well as human health. Microbial enzymes have long been considered a p...

Development of a predictive model for PM2.5 over the greater Athens metropolitan area, Greece, at a 1 km by 1 km grid using satellite measurements and machine learning methods.

BACKGROUND: Ambient PM2.5 exposure is strongly associated with adverse health effects, including all-cause mortality. However, the lack of monitoring ...

pH-sensitive gelatin-montmorillonite-cerium oxide nanocarriers for controlled quercetin delivery and machine learning release prediction.

In this study, a novel pH-responsive hybrid nanocarrier with a water-in-oil-in-water (W/O/W) emulsion structure was developed using gelatin (G) as a b...

Network toxicology and multi-omics identify potential interactions between between air pollutants and interferon-related signaling in tuberculosis.

BACKGROUND: Air pollution increases tuberculosis (TB) susceptibility, yet the underlying molecular mechanisms remain elusive. METHODS: We integrated h...

Fertilization-driven global and regional dynamics of phosphorus patterns under a representative fertilization scenario.

Phosphorus (P), essential for terrestrial biogeochemical cycles and plant biochemical functions, supports agricultural production and ecosystem stabil...

Strategies for resilient climate in smart cities mediated by Nash equilibrium and autonomous decision-makers.

Recently, smart cities are facing pressing challenges due to global warming. Rising greenhouse gas emissions driven by population growth, increased mo...

Community built environment optimization and avoidable PM2.5-attributable mortality in China: A nationwide health impact assessment with spatial heterogeneity and future projections.

BACKGROUND: The design of built environment with health considerations can mitigate population exposure to PM2.5 air pollution. However, quantifiable ...

Integrating the Machine Learning Framework to Decipher Ozone Control Strategies in Coastal Regions: From Seasonal Management to Source Interaction Effects.

Ground-level ozone (O3) pollution poses escalating challenges to urban air quality management, yet the nonlinear mechanisms governing its formation in...

MMP9 mediates 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD)-induced osteoarthritis cartilage damage via regulating the p38 MAPK pathway: A mechanistic study based on network toxicology and multi-omics.

2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), a highly toxic persistent organic pollutant (POP), is associated with musculoskeletal disorders, yet its m...