Environmental Health

Exploring the drivers of PM2.5 under different pollution durations using an advanced modeling framework in an industrial inland city of China.

Characterizing the dynamic evolution of fine particulate matter (PM2.5) across varying pollution persistence is vital for structural air quality management, yet the duration-dependent shifts in driving mechanisms remain poorly understood. This study investigated the complex driving mechanisms of PM2.5 pollution in Linyi, a major industrial and logistics hub in eastern China. We achieved this by in...

Regression based hybrid machine learning model performance evaluation on air quality index prediction in Kolkata.

Air pollution, especially elevated particulate matter concentrations, presents a substantial risk to public health and environmental sustainability in urban regions. By employing machine learning and hybrid ensemble models, this study develops a robust frame work for predicting the Air Quality Index (AQI). A multi-step imputation method was used to preprocess the dataset containing metrological va...

High spatiotemporal resolution assessment of PM2.5 and NO2 exposure and respiratory health inequality in Thailand.

Air pollution remains a critical environmental health challenge in Thailand, yet evidence linking high-resolution exposure to short-term respiratory h...

DriveNet: A comprehensive dataset for driver posture recognition to enhance ergonomics and safety.

Poorly aligned driving posture in the occupational environment increases the risk of musculoskeletal disorders. Asymmetric pressure distribution on th...

Integrating google trends and hybrid statistical-machine learning models for dengue surveillance in an inland vietnamese province: a 94-month evaluation (2013-2021) with search-signal anomaly screening.

Dengue transmission in inland Southeast Asia shows strong seasonality and short-term surges that challenge timely public-health response. We assessed ...

Microplastics across marine food webs: bioaccumulation, exposome interactions, and emerging oncogenic risks.

Microplastic pollution is a major environmental problem affecting ecosystems, wildlife and people worldwide. Microplastics are solid synthetic polymer...

Integrated multi-omics and experimental validation reveal CSK and FBLN1 as key targets of stanozolol in accelerating atherosclerosis.

BACKGROUND: Stanozolol, a synthetic anabolic androgenic steroid (AAS) widely abused to enhance performance, has poorly defined toxicological mechanism...

Fires reverse progress toward ozone air quality standards in the United States.

Recent surges in wildfire emissions have exacerbated surface ozone pollution in the United States. Using deep learning, we developed a gapless daily s...

Rural Airborne PM2.5-bound Microplastics and Heavy Metals: GIS-AI Risk Assessment Review.

Fine particulate matter (PM2.5) is a critical air pollutant and carrier of toxic co-contaminants, including microplastics (MPs) and heavy metals (HMs)...

Electrocardiogram-based short-term risk stratification for acute kidney injury using time-frequency deep learning analysis.

BACKGROUND AND OBJECTIVES: Acute kidney injury (AKI) is a common and clinically important complication in critically ill and perioperative patients. C...

Demographic-aware temporal graph attention for fair and accurate cardiac abnormality detection in 12-lead ECG.

Automated 12-lead ECG interpretation has achieved strong diagnostic accuracy through deep learning, yet systematic demographic disparities-particularl...

Anthropogenic nitrogen impacts on global PM2.5-O3 co-pollution health burden.

The growing recognition of the adverse health impacts posed by ambient fine particulate matter (PM2.5) and ozone (O3) has driven global efforts to imp...

Leveraging Artificial Intelligence in Allergy, Asthma, and Immunology With Environmental Exposures.

Artificial intelligence (AI) in environmental health science is revolutionizing data analysis and problem-solving approaches. These technologies facil...

Interpretable machine learning and greenness assessment for sustainable tetracycline adsorption and phytotoxicity mitigation using almond peel - derived activated carbon.

This study presents, the conversion of almond peel waste into activated carbon (APAC) and its use for removing tetracycline (TC) antibiotic from water...

Heritability of the Olfactory Bulb and Its Associated Brain Network.

The olfactory bulb (OB), the first central relay of the olfactory pathway, plays a critical role in odor perception and exhibits remarkable structural...

Global Characterization of Sea Turtle Ecological Traps under Compound Marine Heatwaves and Microplastics.

The concurrent intensification of marine heatwaves (MHW) and microplastics (MPs) pollution presents a complex challenge for environmental risk assessm...

Reengineering a thermostable keratinase past the boiling point.

Millions of tons of keratin-rich waste are disposed of annually, which could be revalorized, mitigating greenhouse emissions and pollution. Microbial ...

From metabolic reprogramming to diagnostic tool: A machine learning framework identifies biomarkers for soil microplastic stress in rice.

As emerging environmental contaminants, microplastics (MPs) increasingly infiltrate agricultural ecosystems, threatening crop safety and productivity....

Evolution of PM2.5 chemical composition during summer new particle formation in a coastal city in the Yangtze River Delta: insights from pollution episodes, machine learning, and air mass origins.

To investigate the influence of O3 on new particle formation (NPF) events and associated changes in PM2.5 chemical composition, an observation campaig...

Innovations in Electrochemical Sensors for TNT Explosive Detection: From Nanomaterials to Wearable Devices and Artificial Intelligence.

The detection of explosive residues, particularly nitroaromatic compounds such as 2,4,6-trinitrotoluene (TNT), is a major global concern because of th...