Environmental Health

Microplastics assessment in the lower stretch of the Ganga River sediment from East Indian region: Influence of land use and rainfall patterns.

Microplastic (MP) pollution is increasingly viewed as a serious threat to waterways. However, little is known about the effects of land use and rainfall patterns on the occurrence and distribution of MPs in the river sediments. Herein, the MP pollution in different land uses (Settlement, waterbodies, vegetation, agriculture, fallow land, and open spaces) along the lower stretch of the Ganga River,...

Developing sediment concentration prediction in the Euphrates River catchment, Türkiye, with a honey badger and coati optimization-based hybrid algorithm.

Estimation of sediment concentration (SC) is of vital importance in terms of siltation and economic life of dams, lakes and aqueducts, reservoir operations, design of water resource structures, monitoring and control of water pollution, and flood management. Direct measurement of SC is a challenging and expensive task. For these reasons, it was used to estimate the SC values at a station in the Eu...

Toxicity of nanoplastics: machine learning combined with meta-analysis.

Nanoplastics (NPs) are widespread in ecosystems, and their biohazards are of increasing concern. The hazards posed by NPs to aquatic and terrestrial p...

Polarization of dryland vegetation response to spring flood.

Dryland vegetation plays a pivotal role in the global ecosystem and is extraordinarily sensitive to water pulses, yet it is experiencing increasingly ...

Revolutionizing Satellite Real-Time Air Pollution Alerts through New On-Orbit System-on-Chip Technology.

Exposure to abnormally high concentrations of particulate matter and ozone can cause severe harm to human health, highlighting the need for real-time ...

Recognition of suspended particles based on Mueller matrix microscopic imaging and deep learning.

Suspended particles are widely present in various aquatic environments, but they are difficult to detect and identify for diverse materials, complex m...

Specificity and Selectivity of Raman Spectroscopy for the Detection of Dose-Dependent Heavy Metal Toxicities.

Contamination of farmland with heavy metals (HMs), particularly arsenic, cadmium, and lead, poses significant risks to human health and food security,...

Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits.

Electronic health records, biobanks, and wearable biosensors enable the collection of multiple health modalities from many individuals. Access to mult...

2025 Southeastern Surgical Congress Presidential Address: Leadership and Innovation in Surgery: A Vision for the Future.

Surgeons have always been at the forefront of transformative change in medicine-driven by a unique blend of technical expertise, decisiveness, and vis...

Identifying New Candidate Predictors of Mortality in Japanese Patients with Severe Drug Eruptions.

UNLABELLED: BACKGROUND AND OBJECTIVES: SCORe of Toxic Epidermal Necrolysis (SCORTEN) and ABCD-10 have been developed as scoring systems for predicting...

Diffusive gradient in thin films combined with machine learning to discern the accumulation characteristics and driving factors of Cd and Cu in soil-rice systems.

The dietary exposure risk of cadmium (Cd) in rice is significantly higher than that of copper (Cu), while the co-migration of Cd and Cu in the soil-cr...

Entomopathogenic nematodes: Commercial use and future perspectives.

The 100 years of research, development, commercialization and use of entomopathogenic nematodes (EPN) since their discovery in the 1920 s have seen im...

Discovery of Novel Anti-Acetylcholinesterase Peptides Using a Machine Learning and Molecular Docking Approach.

OBJECTIVE: Alzheimer's disease poses a significant threat to human health. Currenttherapeutic medicines, while alleviate symptoms, fail to reverse the...

Evaluating Hangzhou's urgent source-specific regulatory policies for the 2024 New Year haze: A receptor model and machine learning approach.

China's PM2.5 levels have significantly declined over the past decade due to stringent air pollution controls. However, severe autumn and winter haze ...

Assessing risk of groundwater pollution exposure from sea level rise in California.

Sea level rise (SLR) will cause a groundwater table rise in coastal aquifers, and this can trigger exposure to toxic chemicals via direct contact with...

A transfer learning-enhanced deep learning framework for efficient and interpretable soil heavy metal pollution prediction under data scarcity and spatial heterogeneity.

Large-scale soil heavy metal pollution risk estimation remains challenging due to data scarcity and spatial heterogeneity. Although traditional machin...

Machine Learning Based Water Quality Evolution and Pollution Identification in Reservoir Type Rivers.

Quantifying transport and transformation of pollutants in river systems regulated by reservoirs poses a long-standing scientific challenge. This mainl...

Air Pollution and Autism Spectrum Disorder: Unveiling Multipollutant Risks and Sociodemographic Influences in California.

BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental condition with increasing prevalence worldwide. Air pollution may be a major contri...

Widespread distribution of bacteria containing PETases with a functional motif across global oceans.

Accumulating evidence indicates that microorganisms respond to the ubiquitous plastic pollution by evolving plastic-degrading enzymes. However, the fu...

Integrated network toxicology, machine learning and molecular docking reveal the mechanism of benzopyrene-induced periodontitis.

BACKGROUND: Environmental pollutants, particularly from air pollution and tobacco smoke, have emerged as significant risk factors. Benzopyrene (BaP), ...