Environmental Health

Classification, performance and recycling of ceria-based materials used for chemical mechanical polishing.

Ceria (CeO2)-based materials, endowed with balanced chemical reactivity and moderate mechanical hardness, are extensively applied in ultra-precision surface processing fields such as integrated circuits (ICs), semiconductor substrates, optical glass, hard discs, computer magnetic heads, and quartz crucibles, serving as core abrasives in chemical mechanical polishing (CMP). This review comprehensiv...

Methane cycling microbes are important predictors of methylmercury accumulation in rice paddies.

Microbial production of methylmercury from inorganic mercury in rice paddies poses health risks to consumers of this essential dietary staple. Although mercury-methylating communities are well characterized, the microbial guilds contributing to methylmercury accumulation in rice paddies remain unclear. Here, we collected paddy soils across a mercury concentration gradient throughout the rice-growi...

Machine learning assisted SERS detection of selenium species using a sodium alginate/silver hydrogel substrate.

Selenium (Se) was an essential trace element that possessed a very narrow concentration range between nutritional benefit and toxic effects. The devel...

Green in-situ photoreduction synthesis of SERS substrates based on violet phosphorus arrays/silver nanoparticles for ultrasensitive detection and accurate identification of UTI bacteria.

Surface-enhanced Raman spectroscopy (SERS) holds significant promise for identifying urinary tract infection (UTI) pathogens due to its exceptional se...

Environmentally sustainable UV spectrophotometric-chemometric approach for simultaneous determination of budesonide, glycopyrrolate, and formoterol.

This study introduces a sustainable UV-spectrophotometric platform for the simultaneous and individual determination of budesonide (BUD), glycopyrrola...

Eco-Friendly Centroidal Voronoi-Tessellated Nanowire Networks for Efficient Ingress Protection and Broadband Acoustic Transparency.

Environmental water and dust ingress pose serious threats to human-machine interaction (HMI) electronics, necessitating reliable protection from fibro...

Predicting soil cadmium spatial distribution with HDXRF coupling to multi-model machine learning in the karst area.

Mapping soil potentially toxic metal spatial distribution is critical for safe and sustainable use and management of the contaminating soil. However, ...

Artificial intelligence for modeling and reducing microplastic in marine environments: A review of current evidence.

Marine microplastic pollution presents a critical environmental challenge, affecting ecosystems, wildlife, and human health as millions of tons of pla...

Chronic oil pollution in small ports: A review of the role and potential of AUVs.

Chronic oil pollution in small ports are typically low-level, repeated, and long-lasting, making them difficult to monitor with conventional approache...

A novel framework for groundwater quality evaluation in industrial zone using unsupervised machine learning methods.

Population density, urbanization and industrialization are the rapidly increasing and it's causes severe damages to freshwater ecosystem. The present ...

Ozone concentration prediction using machine learning models integrated with 115 volatile organic compound measurements and dimensionality reduction techniques.

High-quality prediction of ozone concentrations is essential for formulating effective environmental policies. The integration of monitoring data of v...

Machine Learning-Assisted Detection of Phosgene and Acetyl Chloride via a Dual-Probe Fluorescent Platform with Differential Reactivity.

Phosgene and acyl chlorides are highly toxic chemicals that pose serious threats to human health and environmental safety, yet their rapid and reliabl...

Microplastics on the frontline: causes, strategies to combat pollution and protect health with advanced bioremediation-a review.

Microplastic (MP) pollution is a growing global concern with serious implications for ecosystems and human health. The present review provides a compr...

A simplified co-culture reveals altered cardiotoxic responses to doxorubicin in hPSC-derived cardiomyocytes in the presence of endothelial cells.

Cardiotoxicity is a significant challenge in cancer therapies, particularly with doxorubicin, a widely used anthracycline. More predictive in vitro mo...

ChronicDPipredictor: an interpretable deep learning framework for chemical chronic and subchronic toxicity assessment.

Chronic and subchronic toxicity are very important endpoints for evaluating the long-term and medium-term toxicity of chemical substances. However, du...

Ensemble learning for air quality index prediction: integrating gradient boosting, XGBoost, and stacking with SHAP-based interpretability.

The increasing challenge of air pollution in cities requires smart methods to make proper predictions and manage the problem. Although machine learnin...

Orbital-level engineering of bonding networks to modulate halogen migration in lead-free double perovskites.

Ionic migration plays a pivotal role in determining the performance and operational stability of a wide range of optoelectronic devices. Halide double...

Facing the Silent Crisis: Suicidal Ideation and Suicide in the Nursing Profession.

BACKGROUND: This manuscript explores the silent yet urgent crisis of suicidal ideation and suicide within the nursing profession. Despite being one of...

Multi-omics characterization of benzo[a]pyrene toxicity networks identifies SERPINE1 and STK3 as prognostic biomarkers and therapeutic targets in head and neck squamous cell carcinoma.

Benzo[a]pyrene (BaP), a ubiquitous environmental carcinogen predominantly found in tobacco smoke and air pollution, plays a pivotal role in head and n...

Smart sewers in practice: a systematic review of instrumentation, applications and pathways to adoption for sustainable urban systems.

Sewer systems are critical to public health and urban economies, yet failures cause overflows, pollution, and costly disruption. Smart sewer systems c...