Environmental Health

A Decade of Innovation in Hydrazine Detection Methods.

Hydrazine is an extremely toxic and carcinogenic compound extensively applied in industry, which prompts the development of sensitive and reliable sensors for environmental and biological monitoring. While traditional techniques such as chromatography and spectrophotometry offer high sensitivity, their reliance on complex instrumentation and a lengthy sample preparation procedure limits their fiel...

Prediction and assessment of water quality index for surface water using 1D CNN and SVR models.

Water quality monitoring is essential for managing and protecting surface water resources. Traditionally, assessing water quality relied on time-consuming laboratory analyses, which were prone to errors and often limited in accuracy, efficiency, and scalability. Conventional methods for calculating the water quality index (WQI) aggregate various water quality parameters into a single value to repr...

On Demographic Group Fairness Guarantees in Deep Learning.

We present a comprehensive theoretical framework analyzing the relationship between data distributions and fairness guarantees in equitable deep learn...

Crude Oil Analysis by Low-Field NMR Relaxometry.

Reliable characterization of crude oil properties remains a central task in petroleum research and industry. Conventional methods established by ASTM ...

"Development of a low-cost portable sequential detection sensor for quantification of fluoride and cyanide in water".

Safe drinking water monitoring requires inexpensive, on-site tools that can sensitively quantify multiple inorganic anions in complex matrices. We rep...

A collaborative strategy of multi-technology integration for mycotoxin risk assessment and early warning in edible and medicinal plants.

BACKGROUND: Mycotoxins are toxic secondary metabolites of toxigenic fungi, posing a significant threat to human health due to their widespread contami...

A data-mechanism integrated framework for elucidating the migration and attenuation of light non-aqueous phase liquids in the vadose zone.

Elucidating key driving factors and the underlying mechanisms governing the complex subsurface fate of Light non-aqueous phase liquids (LNAPL) is esse...

Pollution source identification, classification, and prediction in freshwater lakes: a hybrid water quality assessment framework integrating machine learning.

Freshwater ecosystems play a crucial role in maintaining ecological balance and supporting biodiversity. Assessing water quality and identifying pollu...

Novel cooking techniques and their impact on livestock meat quality: A comprehensive review of processing, eating, nutritional, and safety quality.

Traditional meat cooking methods, such as boiling, frying, and grilling, often lead to nutrient loss, reduced flavor, and microbiological safety risks...

Association between air pollution exposure and multimorbidity among middle-aged and older adults in China: a cross-sectional study.

As the world's population ages, multimorbidity is becoming an increasingly significant burden in the elderly population. Environmental exposures, part...

Research Directions for Promoting Applications of Advanced Oxidation Processes in Water Remediation.

Advanced oxidation processes (AOPs) are effective technologies for addressing the growing threat of water pollution to the eco-environment and human h...

Data-Driven Approach toward the Quantification of Gases in a Complex Mixture Using a Non-Selective Single Metal Oxide Gas Sensor.

Detection of trace levels of volatile organic compounds (VOCs) has widespread applications, including wearable diagnostics, IoTs, and indoor air quali...

Climate driven drought risk and machine learning approaches for urban resilience and sustainable water governance.

Drought is thought of as one of the gravest climate-related hazards of the agro-dependent regions facing water stress like Pakistan where socio-econom...

TabulaTime: Novel multimodal deep learning for Acute Coronary Syndrome prediction through environmental and clinical data integration.

Acute Coronary Syndromes (ACS), including ST- and non-ST-segment elevation myocardial infarction (STEMI, NSTEMI), remain a leading cause of global mor...

Impact of corrosive groundwater on water infrastructure and public health in the contiguous United States.

In U.S. drinking water systems, corrosion in aging iron (Fe) and lead (Pb) pipes imposes significant economic challenges, damages infrastructure, and ...

A novel polymer-sensitive index coupled with multivariate and machine learning modeling for microplastic risk assessment in coastal sediments of the bay of Bengal.

Microplastic (MP) contamination in coastal sediments poses growing ecological and human health concerns, yet data for developing nations remain limite...

Resilience-by-design in engineering Bacillus cell factories.

Industrial Bacillus strains face overlapping stresses-heat, pH, oxidative, osmotic, and toxic metabolites-during large-scale fermentation. Traditional...

The essential role of methylation in maize (Zea mays) defense against the seed-colonizing fungus Aspergillus flavus.

UNLABELLED: The interaction between maize (Zea mays) and Aspergillus species poses a huge threat to global food safety due to the production of aflato...

Environmental education as a means of combating growing environmental pollution: an optimized- explainable artificial intelligence (XAI) approach.

This work aimed at the use and understanding the impact of education in solving the growing environmental pollution and radiation exposure, which are ...

Modeling community hydrogen sulfide exposure in an urban industrial area during routine and extreme events.

Hydrogen sulfide (H2S) is a toxic, odorous gas linked to acute and chronic health effects. In urban-industrial areas like Southern California's South ...