Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
The discerning behavior of living systems relies on accurate interactions selected from the lot of molecular collisions occurring in the cell. To ensure the reliability of interactions, binding partners are classically envisioned as finely preadapted molecules, selected on the basis of their affinity in one-step associations. But the counterselection of inappropriate interactions can in fact be much more efficiently obtained through difficult multi-step adjustment, whose final high energy state is locked by a fluctuation ratchet. The progressive addition of molecular bonds during stereo-adjustment can be modeled as a predominantly backward random walk whose first arrival is frozen by a micro-irreversible transition. A new criterion of ligand specificity is presented, that is based on the ratio rejection/incorporation. In addition to its role in the selectivity of interactions, this generic recipe can underlie other important biological phenomena such as the regular synthesis at low level of supramolecular complexes, monostable kinetic bimodality, substrate concentration thresholds or the preparation of rapidly depolymerizable structures with stored energy, like microtubules
ISSN: 0079-6107

hal-01274234
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01274234
DOI : 10.1016/j.pbiomolbio.2016.02.001
PUBMED : 26867859

Éditeur(s) : HAL CCSD Springer Verlag
Résumé : International audience
Algorithms issued from the NonLinear Galerkin method have been used in many situations and with different discretizations for the resolution of evolutionary nonlinear equations. The main idea of these methods is to use a splitting of the solution in order to model the equation. According to the splitting of the solution, a splitting of the equation is obtained. The modeling principle is to freeze terms which have a small time variation. In this work we use wavelet discretizations of the 2-D Burgers equations and compare the results with the hierarchical finite elements method. The numerical tests indicate that wavelets give better results than finite elements
ISSN: 0885-7474

hal-00383423
https://hal.archives-ouvertes.fr/hal-00383423
DOI : 10.1007/s10915-004-4806-4

Éditeur(s) : HAL CCSD Oxford University Press (OUP)
Résumé : International audience
It has been suggested that prenatal exposure to insecticides adversely affects fetal growth, but the overall results have been inconsistent, partly because of the different exposure sources and exposure assessments used. In the French PELAGIE (Perturbateurs Endocriniens: Étude Longitudinale sur les Anomalies de la Grossesse, l'Infertilité et l'Enfance) mother and child cohort (2002-2006), the authors investigated the association between fetal growth and insecticide exposure (n = 1,213) using an integrated Bayesian latent variable model to include multiple exposure sources: agricultural activities, nonorganic diet, household insecticide use on plants, and household insecticide use against insects. They used a questionnaire to collect information on household use and organic diet, and a national agricultural census provided data on agricultural activities in the women's municipalities of residence. A 0.10-cm decrease in head circumference at birth (95% credibility interval: -0.22, 0.01) was associated with fetal insecticide exposure from agricultural activities in the municipality of residence. Decreases in average birth weight (-27 g; 95% credibility interval: -59, 6) and head circumference (-0.12 cm; 95% credibility interval: -0.26, 0.01) were associated with household insecticide use to treat plants. The present results suggest an inverse association between fetal growth and prenatal insecticide exposure from nearby agricultural activity or household use. Bayesian modeling via latent variables is a natural framework for including multiple sources of exposure to environmental pollutants.
ISSN: 0002-9262

hal-00875979
https://hal.archives-ouvertes.fr/hal-00875979
DOI : 10.1093/aje/kwr422
PUBMED : 22534205

Éditeur(s) : HAL CCSD Wiley
Résumé : International audience
We study if the multilevel algorithm introduced by Debussche, T. Dubois and R. Temam [Theoret. Comput. Fluid Dynam. 7 (1995), no. 4, 279-315; Zbl 838.76060] and Dubois, F. Jauberteau and Temam [J. Sci. Comput. 8 (1993), no. 2, 167-194; MR1242960 (94f:65098)] for the 2D Navier-Stokes equations with periodic boundary conditions and spectral discretization can be generalized to more general boundary conditions and to finite elements. We first show that a direct generalization, as in [C. Calgaro, J. Laminie and R. Temam, Appl. Numer. Math. 23 (1997), no. 4, 403-442; MR1453424 (98d:76124)], for the Burgers equation, would not be very efficient. We then propose a new approach where the domain of integration is decomposed into subdomains. This enables us to define localized small-scale components and we show that, in this context, there is a good separation of scales. We conclude that all the ingredients necessary for the implementation of the multilevel algorithm are present.
ISSN: 0271-2091

hal-00730709
https://hal.archives-ouvertes.fr/hal-00730709