The application of pesticides in the agricultural sector represents multiple benefits such as pest and disease control, however, their entails risks to environment health people, which can be accidental or due improper handling. Therefore, this work focuses on qualitative determination ecotoxicology used by seasonal farmers Municipality Valle de Santiago. Information most commonly study area wa...

Toxicokinetic-toxicodynamic models (TKTD models) simulate the time-course of processes leading to toxic effects on organisms. Even for an apparently simple endpoint as survival, a large number of very different TKTD approaches exist. These differ in their underlying hypotheses and assumptions, although often the assumptions are not explicitly stated. Thus, our first objective was to illuminate ...

The toxicity identification and evaluation (TIE) approach that identified unconjugated natural and synthetic steroid estrogens to be the major estrogenic component in domestic sewage treatment work effluent is described. Given the increasing popularity of TIE-based approaches in ecotoxicology research, a number of important considerations, limitations, and possible future directions of TIE stud...

e. le guilloux, j.m. hall-spencer, m.k. so¤ffker and k. olu Ifremer, Département Etude des Ecosystèmes Profonds, Laboratoire Environnement Profond, Centre de Brest, BP 70, 29280 Plouzané, France, Marine Institute, Marine Biology and Ecology Research Centre, University of Plymouth, Plymouth PL4 8AA, UK, Ecotoxicology and Aquatic Biology Research Group, University of Exeter, Prince of Wales Road,...

Understanding the ecotoxicological effects of arsenic in the environment is paramount to mitigating its deleterious effects on ecological and human health, particularly on the immune response. Toxicological and long-term health effects of arsenic exposure have been well studied. Its specific effects on immune function, however, are less well understood. Eukaryotic immune function often includes...

We present a comparison between 14 chemical fingerprints using 1D/2D features and PMCSFG, a data mining method that induces features based on maximum common subgraphs. We provide an experimental evaluation and discuss the usefulness of the different methods on ecotoxicology data. The features generated by data mining yield a similar performance for predicting toxicity, while they are more inter...