Environmental Health

Arylacetamides exhibit antiproliferative effects on non-transformed mammalian and vegetal cells and toxicity on crustaceans and fish embryos.

Non-clinical steps for development, validation and biosafety of new medicines and products comprises studies on cells, proteins, and animals. Herein, we evaluated the toxic activity of antitumoral 2-chloro--arylacetamides on eukaryotic dividing cells and animal replacement models. Firstly, the cytotoxicity of chloro (compound ), bromo (compound ) and nitro (compound ) acetamides was analyzed by fl...

Grape drying promote agentia: Food safety assessment of a broad-spectrum use drying agent for dried fruits.

Grape drying promote agentia (GDPA) plays a crucial role in raisin production and is widely used. These accelerators primarily consist of alkaline reagents, lipid compounds and other drying agents. They function by undergoing saponification reactions to produce higher fatty acid salts, which disrupt the waxy layer of grape skins, thereby accelerating the dehydration process of grapes. To assess th...

Predicting Mesothelioma Using Artificial Intelligence: A Scoping Review of Common Models and Applications.

IntroductionMesothelioma is a type of lung cancer caused by asbestos exposure, and early diagnosis is crucial for improving survival chances. Artifici...

Edible aquatic robots with Marangoni propulsion.

Centimeter-scale aquatic robots could be used in environmental monitoring, exploration, and intervention in aquatic environments. However, existing ro...

Unraveling soil salinity on potentially toxic element accumulation in coastal Phragmites australis: A novel integration of multivariate and interpretable machine-learning models.

Revealing the key mechanisms influencing the behavior of potentially toxic elements (PTEs) in soil-plant systems is of great significance for environm...

Optical water typing in optically complex waters: A case study of Chesapeake Bay.

Optical water typing has been widely used in aquatic research to classify water bodies based on their inherent optical properties as perceived through...

A novel ultrasensitive derivatization-free synchronous fluorescence approach for the simultaneous analysis of propofol and nalbuphine in human plasma and dosage forms: Compliance with greenness and blueness metrics.

This study presents a very sensitive and eco-friendly synchronous spectrofluorimetric method for the simultaneous quantification of propofol (PRP) and...

Forecasting climate change effects on Saline Lakes through advanced remote sensing and deep learning.

Given the vital role of saline lakes in supporting ecosystems in arid regions, this study analyzes their long-term changes by assessing their characte...

Advancing wetland groundwater pollution zoning: A novel integration of Monte Carlo health risk modeling and machine learning.

Wetlands serve as crucial water reservoirs, providing essential water resources for the surrounding regions. However, elevated ion concentrations in w...

Prediction of anthropogenic I in the South China Sea based on machine learning.

With the rapid increase in the number of nuclear power plants along the China coast and the potential for releases of radioactive substances to marine...

Testing theories of political persuasion using AI.

Despite its importance to society and many decades of research, key questions about the social and psychological processes of political persuasion rem...

Stricter cadmium and lead standards needed for organic fertilizers in China.

This study aims to evaluate the adequacy of China's national standards for heavy metals in organic fertilizers by predicting their concentrations in g...

Unveiling PFAS hazard in European surface waters using an interpretable machine-learning model.

Per- and polyfluoroalkyl substances (PFAS), commonly known as "forever chemicals", are ubiquitous in surface waters and potentially threaten human hea...

Machine learning-supported quantification and characterization of sediment plastic debris in an Anthropized Mfoundi River in Cameroon: Implications for the incidence of flood events.

The emergence of plastic pollution as a global threat to both terrestrial and aquatic organisms has seen efforts geared toward minimizing its producti...

Unraveling the threshold and interaction effects of environmental variables on cadmium contamination in rice grains.

Understanding Cd contamination in the soil-rice ecosystem and the underlying its threshold and interaction effects is crucial for controlling Cd pollu...

A comparative analysis of dune toe extraction methodologies and implications for assessment of foredune dynamics.

An acceleration in Sea Level Rise (SLR) and change in storm activity is likely to increase erosion and flood hazards over the coming decades, represen...

Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling.

Air quality is crucial for both public health and environmental sustainability. An efficient and cost-effective model is essential for accurate air qu...

Green finance reform, multifaceted collaborative governance, and corporate greenwashing: Evidence from double/debiased machine learning method.

In order to promote the economic structure's green transformation and identify replicable and generalizable practices in green financial development, ...

Unveiling Berberine analogues as potential inhibitors of Escherichia coli FtsZ through machine learning molecular docking and molecular dynamics approach.

The bacterial cell division protein FtsZ, a crucial GTPase, plays a vital role in the formation of the contractile Z-ring, which is essential for bact...

Therapeutic potential of enzymes, neurosteroids, and synthetic steroids in neurodegenerative disorders: A critical review.

Neurodegenerative disorders present a significant challenge to healthcare systems, mainly due to the limited availability of effective treatment optio...