PURPOSE OF REVIEW: Fine particulate matter (PM) poses a public health risk, disproportionately impacting low- and middle-income countries (LMICs). In Peru, where ambient concentrations in urban areas significantly exceed the World Health Organization...
Environmental monitoring and assessment
Jan 3, 2026
Artificial neural networks (ANNs) are widely applied in air quality modelling because they can capture nonlinear interactions among pollutants and support reliable air pollutant index (API) forecasting. This study aims to identify the pollutants that...
Microplastics are pervasive environmental pollutants, making human exposure unavoidable. Although previous studies have detected microplastics in human blood and feces, these investigations were limited by small sample sizes and key contributors to m...
European journal of hospital pharmacy : science and practice
Dec 23, 2025
OBJECTIVE: This study aims to evaluate the risk of occupational exposure to hazardous medicinal products (HMPs) when utilising robotic compounding systems for the preparation of antineoplastic sterile medications. Specifically, it assesses the levels...
In order to determine variability and measure the major exposure factors affecting the levels of hazardous metals (such as Fe, Mn, Ni, Pb, As, Cr, and Cu) in the scalp hair of Tehran traffic police personnel, an advanced statistical method is used. T...
Environmental geochemistry and health
Dec 22, 2025
Groundwater arsenic contamination poses a significant health risk in coastal region of Bangladesh. However, existing studies have rarely applied advanced machine learning (ML) algorithms to predict arsenic concentrations using comprehensive water qua...
Pipe network sludge is a complex pollutant aggregate deposited during long-term operation of urban sewage pipelines, and a key target for pollution control in environmental monitoring systems. Accurate source classification is critical for treatment ...
This study provides a comprehensive assessment of phytoplankton biomass dynamics in Lake Pontchartrain, Louisiana, by combining monthly water quality data with multispectral and hyperspectral satellite observations using a machine learning algorithm....
Rivers regulate land-ocean total phosphorus (TP) fluxes critical to ecosystem health and food security, yet global dynamics remain poorly understood due to limited observations. Here, we develop a machine learning framework integrating multimodal dat...
Environmental monitoring and assessment
Dec 10, 2025
Chemical sensors have become essential tools for real-time detection of hazardous substances in complex environmental systems. This review synthesizes recent advances in sensor technologies, focusing on innovations in materials, architectures, and in...
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