Environmental Health

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 investigate potential associations with air pollution. Reasonable prediction is of great significance to control the epidemic of malaria. METHODS: First, time series analysis and machine learning methods were employed to predict malaria incidence. W...

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 health, monitoring and assessing air quality is crucial. With advancements in machine learning (ML) and artificial intelligence (AI), we now have extensive tools to measure the Air Quality Index (AQI). Air quality is influenced by various pollutants...

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...

Integrating machine learning and structure-based simulations to prioritise Z4P as a mutation-resilient IRE1α inhibitor for breast cancer.

Breast cancer is one of the most prevalent and lethal malignancies affecting women globally. The increasing resistance to current therapeutic strategi...

Artificial intelligence-guided and first-principles design and optimization of Rb₂YAgX₆ (X = F, Cl) double perovskite photodetectors.

Halides perovskites of lead have already shown very good optoelectronic behavior, but because of their toxicity and environmental issues, lead-free ma...

A hybrid data-driven machine learning method for mapping trace metals in urban soils: Integrating source apportionment to enable high accuracy prediction.

Mapping regional soil pollution with limited sampling points is essential for effective soil environmental management. The high heterogeneity of urban...

Divergent drivers of winter PM2.5 pollution in representative cities of the Sichuan Basin: Insights from observation and machine learning.

Fine particulate matter (PM2.5) continues to pose a significant challenge to regional air quality and human health in Chinese urban areas. This study ...