Environmental Health

A Stacking Ensemble Model for KOC Prediction and Environmental Mobility Assessment of Global Neutral Chemicals.

Neutral persistent, mobile, and toxic (PMT) chemicals are an emerging regulatory concern, because they can contaminate drinking water resources. The organic carbon sorption coefficient (KOC) is widely used as a mobility indicator for neutral organic compounds (NOCs), but global mobility assessments are hampered by the scarcity of KOC experimental data and the limited efficiency of predictive appro...

Agricultural and urban land use intensifies riverine GHG emissions across continents.

Earlier efforts to assess anthropogenic impacts on river greenhouse gas (GHG) emissions mainly relied on local-scale data, overlooking how cross-boundary factors such as climate, topography, socio-economic and demographic context shape river pollution and GHG emissions. To better understand the influence of urbanization and agriculture on riverine GHG fluxes, we measured fluxes at 156 sites across...

Machine Learning for Designing Perovskites and Perovskite-Inspired Solar Materials: Emerging Opportunities and Challenges.

The development of perovskites and perovskite-inspired materials (PIMs) is driven by the need for efficient, non-toxic and stable solar energy convers...

Multi-domain ECG feature extraction enable accurate automated recognition of bipolar disorder, depression and schizophrenia.

OBJECTIVE: To develop and validate a multi-lead electrocardiogram (ECG)-based machine learning system for automated classification of major psychiatri...

A pipeline for meso- and microplastic identification in aquatic systems using machine learning and hyperspectral imaging.

Microplastic pollution presents major environmental and health challenges, requiring accurate identification and quantification to assess its distribu...

A zone-specific water quality modelling framework for medium and large lakes using interpretable machine learning.

The significant spatial heterogeneity of lake characteristics poses a persistent challenge for accurate prediction and effective management of medium ...

Comparison of vacuum ultraviolet-based oxidation as ultrafiltration pretreatment in real water: Performance, risk assessment, and mechanistic insights.

Natural organic matter (NOM), a ubiquitous foulant in aquatic environments, is commonly regarded as a predominant driver of ultrafiltration (UF) membr...

Inversion of soil heavy metal content in surface coal mine area based on fractional-order derivative and reindeer cyclone optimization algorithm support vector regression.

Open-pit mining activities lead to heavy metal accumulation in soils, posing a serious threat to ecosystems and public health, necessitating the devel...

Rapid assessment of pesticide toxicity in aquatic ecosystems using deep learning-based automatic duckweed counting method.

Pesticides are widely used in agriculture to control weeds, insects, and diseases that threaten crop yields. However, their extensive use raises conce...

Evaluating the accuracy of screening titles and abstracts for progressing to full-text screening by one vs two independent reviewers: part 1 of a meta-research study of rapid review methodological trade-offs.

OBJECTIVES: To determine the accuracy for progressing records to full-text screening using one vs two reviewers to screen title and abstracts in 3 rev...

On the importance of soil texture for predicting future global soil respiration.

Soil respiration, the flux of CO2 from soils to the atmosphere, is an important component of the global carbon budget, but our understanding of its fu...

Temporal dynamics of mercury exposure and associated health and economic burdens in China.

Mercury is a global highly toxic pollutant linked to neurodevelopmental impairments and cardiovascular risks. However, despite being the world's large...

Targeting autophagy in Duchenne muscular dystrophy: mechanistic insights and emerging therapeutic strategies.

Duchenne muscular dystrophy (DMD) is a severe X-linked myopathy characterised by progressive skeletal and cardiac muscle degeneration, loss of ambulat...

Quantifying Multi-pollutant Co-exposure via Deep Learning-Based Simultaneous Prediction Using Geostationary Satellite Data.

Simultaneous prediction of multiple air pollutants is essential for quantifying human co-exposure and evaluating the health impacts of pollutant mixtu...

Global Mega-Challenges and International Collaboration in Science, Education, and Health.

We live in an interdependent world riven by ideology, factions, and rivalries, and we face enormous challenges such as climate disruption, an aging po...

Predicting toxicity and bioactivity of the chemical exposome: a case study for the blood exposome database.

Humans are exposed to thousands of chemicals throughout their life. Many of these chemicals are detected in blood and have been catalogued in the Bloo...

Machine Learning Potentials for Inorganic and Hybrid Lead Halide Perovskites: From Phase Stability to Defects and Interfaces.

Inorganic and hybrid lead halide perovskites are among the most promising candidates for next-generation optoelectronic devices. However, their furthe...

Risks of Microplastics Shaping Viral Communities and Functions in Real Marine Environments.

Microplastic (MP) pollution has become a global issue, especially in the oceans. However, the extent of changes in the ecological states of viruses th...

Antibody-drug conjugate design and mechanisms of action for cancer treatment: state of the art and beyond.

Antibody-drug conjugates (ADCs) are a leading area of targeted cancer therapeutics, typically combining a tumour-associated antigen-specific antibody ...

Toxic chinese herbal medicine recognition in real-world images via multi-scale and attention-enhanced EfficientNetV2.

Accurate identification of toxic Chinese herbal medicines is critical for public health and clinical safety. However, real-world herbal images often e...