Analyse du modèle CHIMIOTOX du point de vue de ses implications toxicologiques [Article bilingue]

Le modèle CHIMIOTOX a été mis au point comme outil de gestion dans le but de réduire de façon importante la quantité de substances toxiques déversées dans le fleuve Saint-Laurent. Ce modèle effectue un calcul dont le résultat est une valeur numérique qui se veut représentative de la charge toxique présente dans un effluent industriel. Pour ce faire, le modèle attribue à chaque substance toxique une constante de toxicité, le facteur de pondération toxique (Ftox), dont la valeur est déterminée à partir des critères de qualité de l'eau du ministère de l'Environnement du Québec. Le Ftox sert à calculer l'unité CHIMIOTOX (UC) qui est le produit de Ftox par la charge journalière du polluant (kg/jour). La sommation des UC de toutes les substances ciblées donne l'indice CHIMIOTOX (IC) qui doit représenter le potentiel toxique de l'effluent. Dans la présente étude, le modèle CHIMIOTOX a été analysé du point de vue de ses implications au plan toxicologique. Les résultats de cette analyse montrent les faits saillants suivants. En premier lieu, le calcul du potentiel toxique théorique se fait selon l'équation d'une droite de pente Ftox. Ceci implique que le potentiel toxique calculé est directement proportionnel à la quantité de la substance, et cela, quel que soit le niveau supposé d'exposition. Cette démarche n'est pas compatible avec le concept fondamental de la dose-réponse, basé sur l'observation expérimentale. À cette étape du modèle, l'estimation du théorique risque de s'écarter considérablement de la réalité. En second lieu, l'UC est calculé en utilsant la charge journalière moyenne de l'effluent à partir de mesures effectuées sur trois jours. Le modèle fait abstraction des variations ponctuelles dans le temps, variations qui peuvent influencer de manière significative le profil d'exposition des organismes, et par conséquent, la toxicité. En troisième lieu, l'IC, qui est la sommation des UC, ne tient pas compte des interactions toxiques pouvant survenir dans le cas d'un mélange de substances, ni de la bioaccumulation dans la chaîne trophique. Une comparaison du CHIMIOTOX avec le modèle des TEF (Toxic Equivalency Factor) développé pour les dibenzo-p-dioxines et les dibenzofurannes polychlorés, a été effectuée afin de souligner la difficulté d'obtenir des valeurs théoriques prédictives de la toxicité de mélanges complexes, même lorsque ses composants possèdent un mécanisme d'action commun, ce qui n'est pas le cas pour la plupart des substances considérées par le CHIMIOTOX. Au total, le modèle CHIMIOTOX génère une incertitude qui s'accroît à chaque étape du calcul. Ceci l'empêche d'avoir une véritable valeur quantitative et limite considérablement son utilité dans l'évaluation du rique environnemental associé aux substances toxiques.CHIMIOTOX is a model designed to provide a numerical indicator of toxic discharges for the purpose of comparing and integrating sampling results. CHIMIOTOX was also intended to be used as a tool in managing toxic substances. In this paper, the CHIMIOTOX model has been analysed from the standpoint of its toxicological implications. The analysis shows that the model's numerical indicator does not integrate principles such as the dose-response relationship, the level of exposure of the target organisms in the receiving waters, the transformation of toxic substances in the environment and their bioaccumulation, or the possible interactions between the different components of a complex mixture of toxic substances. The CHIMIOTOX model has been compared to the toxic equivalency factor (TEF) approach developed for polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans to illustrate the difficulties in obtaining reliable predictive values for the toxicity of mixtures even when their components share a similar mechanism of action, which is not the case for most substances subjected to CHIMIOTOX. Because CHIMIOTOX generates a high degree of uncertainty that increases at each step of the calculation, and because this uncertainty is not taken into account, the usefulness of the model from the point of view of ecotoxicological risk assessment and management appears significantly limited

Non equilibrium inertial dynamics of colloidal systems

We consider the properties of a one dimensional fluid of brownian inertial hard-core particles, whose microscopic dynamics is partially damped by a heat-bath. Direct interactions among the particles are represented as binary, instantaneous elastic collisions. Collisions with the heath bath are accounted for by a Fokker-Planck collision operator, whereas direct collisions among the particles are treated by a well known method of kinetic theory, the Revised Enskog Theory. By means of a time multiple time-scale method we derive the evolution equation for the average density. Remarkably, for large values of the friction parameter and/or of the mass of the particles we obtain the same equation as the one derived within the dynamic density functional theory (DDF). In addition, at moderate values of the friction constant, the present method allows to study the inertial effects not accounted for by DDF method. Finally, a numerical test of these corrections is provided.Comment: 13 pages+ 3 Postscript figure

Two sequential outbreaks caused by multidrug-resistant Acinetobacter baumannii isolates producing OXA-58 or OXA-72 oxacillinase in an intensive care unit in France

International audienc

Exploring the randomness of Directed Acyclic Networks

The feed-forward relationship naturally observed in time-dependent processes and in a diverse number of real systems -such as some food-webs and electronic and neural wiring- can be described in terms of so-called directed acyclic graphs (DAGs). An important ingredient of the analysis of such networks is a proper comparison of their observed architecture against an ensemble of randomized graphs, thereby quantifying the {\em randomness} of the real systems with respect to suitable null models. This approximation is particularly relevant when the finite size and/or large connectivity of real systems make inadequate a comparison with the predictions obtained from the so-called {\em configuration model}. In this paper we analyze four methods of DAG randomization as defined by the desired combination of topological invariants (directed and undirected degree sequence and component distributions) aimed to be preserved. A highly ordered DAG, called \textit{snake}-graph and a Erd\:os-R\'enyi DAG were used to validate the performance of the algorithms. Finally, three real case studies, namely, the \textit{C. elegans} cell lineage network, a PhD student-advisor network and the Milgram's citation network were analyzed using each randomization method. Results show how the interpretation of degree-degree relations in DAGs respect to their randomized ensembles depend on the topological invariants imposed. In general, real DAGs provide disordered values, lower than the expected by chance when the directedness of the links is not preserved in the randomization process. Conversely, if the direction of the links is conserved throughout the randomization process, disorder indicators are close to the obtained from the null-model ensemble, although some deviations are observed.Comment: 13 pages, 5 figures and 5 table

Growth of Octopus vulgaris (Cuvier, 1797) in tanks in the Ebro Delta (NE Spain): effects of temperature, salinity and culture density

To assess the possibility of O. vulgaris ongrowing using tanks or cages in the bays of the Ebro Delta, we performed several growth trials of common octopus held in tanks. Effects of environmental factors (temperature and salinity) and zootechnical aspects (culture density) were studied. The thermal ranges that defined positive growth periods in the bays of the Ebro Delta were 19.5ºC to 23ºC (spring-summer) and 23.5ºC to 12.3ºC (autumn-winter), the latter being the most suitable period for ongrowing. Salinity did not affect survival (100%) or growth within the range tested (34-29 psu), though feeding rates (AFR, SFR) were directly related to salinity. On the other hand, after 60 days, final culture density increased three-fold (D1: 12.36 → 44.37 kg m–3; D2: 24.13 → 67.76 kg m–3), with optimal survival results (>90%) for the two densities tested. Growth and feeding rates showed a slight inverse relationship with density. Finally, growth and feeding rates showed a clear dependence on temperature in the two experiments (density and salinity). Our results conclude that industrial production of O. vulgaris in tanks is promising: this system offers an alternative to cages and allows for a more exhaustive control of culture.Con el fin de evaluar la posibilidad de engorde de O. vulgaris en tanques o jaulas en las bahías del Delta del Ebro, se llevaron a cabo varias experiencias de crecimiento de individuos mantenidos en tanques. Se estudiaron tanto aspectos medioambientales (temperatura y salinidad) como zootécnicos (densidad de cultivo). Los rangos térmicos que definieron periodos positivos de crecimiento en las bahías del Delta del Ebro fueron: 19.5ºC-23ºC (primavera-verano) y 23.5ºC-12.3ºC (otoño-invierno), siendo este último el periodo más favorable para el engorde. La salinidad no afectó a la supervivencia o al crecimiento dentro del rango testado (34-29 psu), a pesar de que las tasas de alimentación (AFR, SFR) mantuviesen relación directa con la salinidad. Por otro lado, y transcurridos 60 días, observamos que la densidad de cultivo se multiplicó por tres (D1: 12.36 → 44.37 kg m–3; D2: 24.13 → 67.76 kg m–3), con resultados óptimos de supervivencia (>90%) bajo las dos condiciones probadas. Las tasas de crecimiento y alimentación mostraron una relación indirecta con la densidad de cultivo. Finalmente, se observó que tanto las tasas de crecimiento como las de alimentación presentan una clara dependencia de la temperatura en ambas experiencias (salinidad y densidad de cultivo). Nuestros resultados concluyen que la producción industrial de O. vulgaris en tanques es prometedora: este sistema ofrece una alternativa a las cajas y permite un control más exhaustivo del cultivo

Chest- and Waist-Deep Aquatic Plyometric Training and Average Force, Power, and Vertical-Jump Performance

Purpose: The purpose of the study was to compare effects of chest- and waist-deep water aquatic plyometrics on average force, power and vertical jump. Methods: Twenty-nine male and female participants were assigned to either a control group or 1 of 2 aquatic groups (waist deep and chest deep) and participated in a 6-wk, twice per wk plyometric training program. Average force and power were measured on a force plate using 3 jumps: squat, countermovement, and drop jump. Vertical-jump heights were also recorded. A repeated-measures ANOVA was used to determine significant differences between testing and groups on average force, power and vertical jump. Results: No significant differences were found with average force and power with the squat, countermovement, and vertical jumps. There were significant changes in drop jump average in the control group from the pretest to posttest. Conclusions: With the water depths chosen and held constant, there appears to be no increased benefit in performance variables

Comparison of Models for Olfactometer Data

Olfactometer experiments are used to study the responses of arthropods to potential attractants, for purposes such as understanding natural defenses of plants against their herbivores. Such experiments typically lead to multivariate data consisting of small correlated counts, which are overdispersed relative to standard models. In this paper models that account for the overdispersion under different hypotheses on insect behaviour are described and illustrated with an example, and a graphical approach to discriminating among them is briefly discussed