Environmental Health

Probing the toxicity of nanoparticles: a unified in silico machine learning model based on perturbation theory.

Nanoparticles (NPs) are part of our daily life, having a wide range of applications in engineering, physics, chemistry, and biomedicine. However, there are serious concerns regarding the harmful effects that NPs can cause to the different biological systems and their ecosystems. Toxicity testing is an essential step for assessing the potential risks of the NPs, but the experimental assays are ofte...

Comparison of Albendazole Cytotoxicity in Terms of Metabolite Formation in Four Model Systems.

INTRODUCTION: Albendazole is used to treat endoparasitic diseases in animals and humans. After oral administration, it is quickly oxidised into its pharmacologically active metabolite albendazole sulfoxide and then to sulfone. However, it is not clear which compound is responsible for toxic effects towards mammalian cells.

Robotics in percutaneous cardiovascular interventions.

The fundamental technique of performing percutaneous cardiovascular (CV) interventions has remained unchanged and requires operators to wear heavy lea...

Optimal pitching axis location of flapping wings for efficient hovering flight.

Flapping wings can pitch passively about their pitching axes due to their flexibility, inertia, and aerodynamic loads. A shift in the pitching axis lo...

A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China.

Air pollution in China is becoming more serious especially for the particular matter (PM) because of rapid economic growth and fast expansion of urban...

The allelopathic effect and safety evaluation of 3,4-Dihydroxybenzalacetone on Microcystis aeruginosa.

Harmful algal blooms (HABs) has been a serious problem in recent years, because of large quantities of cyanobacterial in eutrophic water. We studied t...

Cardiovascular risk of circulating endotoxin level in prevalent hemodialysis patients.

BACKGROUND: Cardiovascular diseases (CVDs) are a major cause of morbidity and mortality in patients with end stage renal disease (ESRD). Circulating e...

Improving the Quality of Positive Datasets for the Establishment of Machine Learning Models for pre-microRNA Detection.

MicroRNAs (miRNAs) are involved in the post-transcriptional regulation of protein abundance and thus have a great impact on the resulting phenotype. I...

Using machine learning to identify air pollution exposure profiles associated with early cognitive skills among U.S. children.

Data-driven machine learning methods present an opportunity to simultaneously assess the impact of multiple air pollutants on health outcomes. The goa...

Urban air quality forecasting based on multi-dimensional collaborative Support Vector Regression (SVR): A case study of Beijing-Tianjin-Shijiazhuang.

Today, China is facing a very serious issue of Air Pollution due to its dreadful impact on the human health as well as the environment. The urban citi...

Fuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollution.

OBJECTIVE: Predict the number of hospitalizations for asthma and pneumonia associated with exposure to air pollutants in the city of São José dos Camp...

ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity.

As a dangerous end point, respiratory toxicity can cause serious adverse health effects and even death. Meanwhile, it is a common and traditional issu...

Prediction of dissolved oxygen concentration in hypoxic river systems using support vector machine: a case study of Wen-Rui Tang River, China.

Accurate quantification of dissolved oxygen (DO) is critically important for managing water resources and controlling pollution. Artificial intelligen...

Design of hair-like appendages and comparative analysis on their coordination toward steady and efficient swimming.

The locomotion of water beetles has been widely studied in biology owing to their remarkable swimming skills. Inspired by the oar-like legs of water b...

A Strategy for Sperm Cryopreservation of Atlantic Salmon, , for Remote Commercial-scale High-throughput Processing.

Sperm cryopreservation is an essential tool for long-term storage of genetic resources for aquaculture fishes. The goal of this study was to develop a...

CarcinoPred-EL: Novel models for predicting the carcinogenicity of chemicals using molecular fingerprints and ensemble learning methods.

Carcinogenicity refers to a highly toxic end point of certain chemicals, and has become an important issue in the drug development process. In this st...

Early Detection of Peak Demand Days of Chronic Respiratory Diseases Emergency Department Visits Using Artificial Neural Networks.

Chronic respiratory diseases, mainly asthma and chronic obstructive pulmonary disease (COPD), affect the lives of people by limiting their activities ...

Application of artificial neural network in medical geochemistry.

For the evaluation of various adverse health effects of chemical elements occurring in the environment on humans, the comparison and linking of geoche...

Online Classification of Contaminants Based on Multi-Classification Support Vector Machine Using Conventional Water Quality Sensors.

Water quality early warning system is mainly used to detect deliberate or accidental water pollution events in water distribution systems. Identifying...

A novel application of an adaptable modeling approach to the management of toxic microalgal bloom events in coastal areas.

Harmful algal blooms have been increasing in frequency in recent years, and attention has shifted from describing to modeling and trying to predict th...