Environmental Health

Multi-view field deep learning and data augmentation for heavy metals concentrations prediction in marine sediments based on visible and near-infrared spectroscopy.

Rapid and non-destructive monitoring of heavy metal pollution in marine sediments is very important for environmental protection and ecosystem health. However, the difficulties and high costs of marine sediment collection result in scarce data, which constrains the model's generalization. In this paper, a novel method fusing doubly regularized Wasserstein generative adversarial network (DR-WGAN-GP...

Explainable and causal machine learning to investigate the spatiotemporal dynamics patterns of coastal water quality in Hong Kong.

Coastal marine water quality emerges from complex and dynamic feedbacks between natural processes and human activities, yet disentangling their respective influences remains a persistent challenge. This study proposes an interpretable, data-driven framework that integrates clustering, explainable machine learning (XML), and causal inference to investigate long-term coastal water quality dynamics. ...

Influence of typical anions in brackish water on synergistic remediation of Vanadium(V) by coffee grounds and Ryegrass: Machine learning modeling and co-occurrence network analysis.

Brackish water is widely distributed and highly overlaps with areas contaminated by vanadium (V), presenting multiple challenges for V pollution remed...

Cancer as a main contributor to multimorbidity in the UK Biobank: analysis of risk factors using conventional statistical modelling and machine learning.

Cancer frequently co-occurs with other chronic conditions, contributing substantially to disease burden. Multimorbidity is an increasing public health...

Colonoscopy Quality and Strategies for Improvement.

Colonoscopy plays a pivotal role in colorectal cancer (CRC) screening and reduces CRC incidence and mortality. Its effectiveness depends on colonoscop...

Machine learning models decipher environmental pollutant-driven core genes in glioblastoma: Biomarkers for diagnosis, recurrence, and prognosis.

Environmental pollution, particularly from industrial production and automobile exhaust emissions, is increasingly recognized as a significant factor ...

Diffusion for Diffusion: A versatile multiphysics fields refinement framework in pollutants transportation.

Refining coupled multiphysics fields in pollutant transport from sparse measurements is critical for environmental risk assessment and industrial poll...

Modeling and forecasting vibrio vulnificus concentration of long-range dependence on marine environmental conditions.

Vibrio vulnificus (vvh) is an epidemiologically significant bacterium that naturally occurs in coastal waters under favorable environmental conditions...

4-Nonylphenol mediated tumor progression and immune modulation through CDK2: Computational and experimental validation.

As an endocrine-disrupting chemical, 4-nonylphenol (4-NP) has been found above safe limits in global water systems and associated with cancer progress...

Multimodal deep learning for acute myocardial infarction detection from 12-lead electrocardiogram: a multi-centre study with cross-hospital validation.

AIMS: Acute myocardial infarction (AMI) remains a leading global cause of mortality, where timely diagnosis is critical to enable early intervention. ...

A semi-supervised learning-based framework for quantifying litter fluxes in river systems.

Supervised deep learning methods have been widely employed to detect floating macroplastic litter (>5 mm) in (fresh)water bodies. However, few studies...

Machine learning-assisted sensing platform for simultaneous and visual detection of tetracycline hydrochloride and ofloxacin.

Antibiotics are essential in modern medicine; however, their overuse and improper disposal have caused significant environmental contamination, which ...

IFCNN-based fusion of GAF and MTF encoded near-infrared spectral images for quantitative analysis of microplastics.

Microplastics pollution has become the second-largest global environmental issue. Therefore, accurate and rapid quantification of microplastics is of ...

Characterization, sources, and driving factors of particulate matter (PM) pollution in a desert hinterland city: Insights from Hotan, China.

Atmospheric particulate matter (PM) pollution is severe in southern Xinjiang, especially near the Taklimakan Desert, where air quality is affected by ...

Applying machine learning to explore association models between environmental hormones, breast cancer, and a dietary and health education improvement program: an investigative study.

Traditional risk factor screening for breast cancer focuses on reproductive and family history. However, an increasing number of young patients withou...

Virtual screening and experimental validation of small-molecule compounds targeting AR in prostate cancer.

Prostate cancer ranks as the second most prevalent malignancy among men, with its progression predominantly driven by androgen receptor (AR) signaling...

Microbial-mycotoxin interactions in food: A review of ecotoxicological implications and omics approaches for understanding detoxification mechanisms.

Mycotoxins, toxic secondary metabolites produced by fungi such as Aspergillus, Fusarium, and Penicillium, frequently contaminate food supplies, posing...

UVENet: A novel end-to-end model for temporal consistency in underwater video enhancement.

Deep-sea submersibles collect extensive underwater data, supporting the study and exploration of marine ecosystems. Efficient processing and analysis ...

GDT-Net: Multi-level feature extraction network for precise diagnosis of atrial and ventricular fibrillation.

Atrial fibrillation (AFIB) and ventricular fibrillation (VFIB) are two critical cardiovascular diseases, where accurate diagnosis is essential for tim...

Leveraging the ADAM10 prodomain for selective inhibition to enhance recovery after myocardial infarction.

BACKGROUND AND PURPOSE: Inflammation plays a crucial role in the development and progression of numerous acute and chronic diseases such as myocardial...