Environmental Health

Protective Effects of Thymoquinone against Methotrexate-Induced Germ Cell Apoptosis in Male Mice.

BACKGROUND: Toxic effects of anti-cancer and other drugs on the normal tissues could be reduced by the herbal plants and their fractions. This study investigated the protective effect of thymoquinone (TQ) as a fraction of Nigella sativa on methotrexate (MTX)- induced germ cell apoptosis in male mice.

Mapping real-time air pollution health risk for environmental management: Combining mobile and stationary air pollution monitoring with neural network models.

Air pollution poses health concerns at the global scale. The challenge of managing air pollution is significant because of the many air pollutants, insufficient funds for monitoring and abatement programs, and political and social challenges in defining policy to limit emissions. Some governments provide citizens with air pollution health risk information to allow them to limit their exposure. How...

The effect of the toxic dinoflagellate on the fitness of the calanoid copepod .

Inshore and offshore waters of the Gulf of Maine (USA) have spring/summer harmful algal blooms (HABs) of the toxic dinoflagellate , which is responsib...

Neuroprotective effects of the Phellinus linteus ethyl acetate extract against H2O2-induced apoptotic cell death of SK-N-MC cells.

Numerous studies have suggested that neuronal cells are protected against oxidative stress-induced cell damage by antioxidants, such as polyphenolic c...

Antibacterial Effects of Cissus welwitschii and Triumfetta welwitschii Extracts against Escherichia coli and Bacillus cereus.

Antibiotic resistance has increased sharply, while the pace for the development of new antimicrobials has slowed down. Plants provide an alternative s...

Cytotoxicity of chitosan/streptokinase nanoparticles as a function of size: An artificial neural networks study.

Predicting the size and toxicity of chitosan/streptokinase nanoparticles at various values of processing parameters was the aim of this study. For the...

Forecasting PM10 in Algiers: efficacy of multilayer perceptron networks.

Air quality forecasting system has acquired high importance in atmospheric pollution due to its negative impacts on the environment and human health. ...

Development of 3D-QSAR Model for Acetylcholinesterase Inhibitors Using a Combination of Fingerprint, Molecular Docking, and Structure-Based Pharmacophore Approaches.

Acetylcholinesterase (AChE), a serine hydrolase vital for regulating the neurotransmitter acetylcholine in animals, has been used as a target for drug...

Apolipoprotein A-I: A Molecule of Diverse Function.

Apolipoprotein A-I (apo A-I) an indispensable component and a major structural protein of high-density lipoprotein (HDL), plays a vital role in revers...

PredSTP: a highly accurate SVM based model to predict sequential cystine stabilized peptides.

BACKGROUND: Numerous organisms have evolved a wide range of toxic peptides for self-defense and predation. Their effective interstitial and macro-envi...

Using wavelet-feedforward neural networks to improve air pollution forecasting in urban environments.

The paper presents the screening of various feedforward neural networks (FANN) and wavelet-feedforward neural networks (WFANN) applied to time series ...

Video-tracking of zebrafish (Danio rerio) as a biological early warning system using two distinct artificial neural networks: Probabilistic neural network (PNN) and self-organizing map (SOM).

Biological early warning systems (BEWS) are becoming very important tools in ecotoxicological studies because they can detect changes in the behavior ...

Prediction of drug-induced eosinophilia adverse effect by using SVM and naïve Bayesian approaches.

Drug-induced eosinophilia is a potentially life-threatening adverse effect; clinical manifestations, eosinophilia-myalgia syndrome, mainly include sev...

Application of chemometric analysis and self Organizing Map-Artificial Neural Network as source receptor modeling for metal speciation in river sediment.

Present study deals with the river Ganga water quality and its impact on metal speciation in its sediments. Concentration of physico-chemical paramete...

Prediction of effluent concentration in a wastewater treatment plant using machine learning models.

Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, th...

The potential of AOP networks for reproductive and developmental toxicity assay development.

Historically, the prediction of reproductive and developmental toxicity has largely relied on the use of animals. The adverse outcome pathway (AOP) fr...

In silico prediction of anti-malarial hit molecules based on machine learning methods.

Machine learning techniques have been widely used in drug discovery and development in the areas of cheminformatics. Aspartyl aminopeptidase (M18AAP) ...

Assessment for water quality by artificial neural network in Daya Bay, South China Sea.

In this study, artificial neural network such as a self-organizing map (SOM) was used to assess for the effects caused by climate change and human act...

Cytotoxic response of platinum-coated gold nanorods in human breast cancer cells at very low exposure levels.

Because of unique optical behavior gold nanorods (GNRs) have attracted attention for the application in biomedical field such as bio-sensing, bio-imag...

Novel Uses of In Vitro Data to Develop Quantitative Biological Activity Relationship Models for in Vivo Carcinogenicity Prediction.

The availability of large in vitro datasets enables better insight into the mode of action of chemicals and better identification of potential mechani...