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Luthringer R.,Paris-Sorbonne University | Lipinska A.P.,Paris-Sorbonne University | Roze D.,Sorbonne Universites | Cormier A.,Paris-Sorbonne University | And 3 more authors.
Molecular Biology and Evolution | Year: 2015

The recombining regions of sex chromosomes (pseudoautosomal regions, PARs) are predicted to exhibit unusual features due to their being genetically linked to the nonrecombining, sex-determining region. This phenomenon is expected to occur in both diploid (XY, ZW) and haploid (UV) sexual systems, with slightly different consequences for UV sexual systems because of the absence of masking during the haploid phase (when sex is expressed) and because there is no homozygous sex in these systems. Despite a considerable amount of theoretical work on PAR genetics and evolution, these genomic regions have remained poorly characterized empirically. We show here that although the PARs of the U/V sex chromosomes of the brown alga Ectocarpus recombine at a similar rate to autosomal regions of the genome, they exhibit many genomic features typical of nonrecombining regions. The PARs were enriched in clusters of genes that are preferentially, and often exclusively, expressed during the sporophyte generation of the life cycle, and many of these genes appear to have evolved since the Ectocarpales diverged from other brown algal lineages. A modeling-based approach was used to investigate possible evolutionary mechanisms underlying this enrichment in sporophyte-biased genes. Our results are consistent with the evolution of the PAR in haploid systems being influenced by differential selection pressures in males and females acting on alleles that are advantageous during the sporophyte generation of the life cycle. © The Author 2015. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. Source

Baudrit C.,French National Institute for Agricultural Research | Destercke S.,Sorbonne Universites | Wuillemin P.H.,University Pierre and Marie Curie
Information Sciences | Year: 2016

Modeling complex dynamical systems from heterogeneous pieces of knowledge varying in precision and reliability is a challenging task. We propose the combination of dynamical Bayesian networks and of imprecise probabilities to solve it. In order to limit the computational burden and to make interpretation easier, we also propose to encode pieces of (numerical) knowledge as probability intervals, which are then used in an imprecise Dirichlet model to update our knowledge. The idea is to obtain a model flexible enough so that it can easily cope with different uncertainties (i.e., stochastic and epistemic), integrate new pieces of knowledge as they arrive and be of limited computational complexity. © 2016 Elsevier Inc. Source

Mbengue S.S.,CNRS Roberval Laboratory (Mechanical Research Unit) | Buiron N.,CNRS Roberval Laboratory (Mechanical Research Unit) | Lanfranchi V.,Sorbonne Universites
Journal of Magnetism and Magnetic Materials | Year: 2016

Magnetic and magnetoelastic properties of soft ferromagnetic materials, used as laminated sheets, are sensitive to manufacturing processes such as rolling, cutting and coating. One of the effects of these processes is to induce an anisotropic behavior of materials. Therefore, an anhysteretic magnetostriction and magnetization calculation taking into account the anisotropy effect at macroscopic scale is presented. This model is based on the expression and then the minimization of the total energy in order to determine magnetization and magnetostriction at equilibrium. The total energy to minimize depends on energy terms identified from measurements of the magnetization and magnetostriction at a scale large enough to neglect the heterogeneity due to grains. Therefore, this approach attempts to reproduce ferromagnetic polycrystal behavior at macroscopic without knowing texture (Orientation Density Function) nor grain properties. © 2015 Elsevier B.V. All rights reserved. Source

Dolev S.,Ben - Gurion University of the Negev | Dubois S.,French Institute for Research in Computer Science and Automation | Potop-Butucaru M.,French Institute for Research in Computer Science and Automation | Tixeuil S.,Sorbonne Universites
Information Processing Letters | Year: 2011

Self-stabilizing systems have the ability to converge to a correct behavior when started in any configuration. Most of the work done so far in the self-stabilization area assumed either communication via shared memory or via FIFO channels. This paper is the first to lay the bases for the design of self-stabilizing message passing algorithms over unreliable non-FIFO channels. We propose an optimal stabilizing data-link layer that emulates a reliable FIFO communication channel over unreliable capacity bounded non-FIFO channels (the channel capacity is known to the protocol). © 2011 Elsevier B.V. Source

We claim that the nickname « Gongora of the psychoanalysis» given in the fifties to Jacques Lacan by a part of his public, according to his own account in one of his writings - involves a creation of meaning. The Spanish baroque poet Luis de Góngora (1561-1627) was criticised, in his time and later, for being abstruse and obscure, almost beyond understanding. A similar reproach was directed at Lacan, and the reasons of the critics and the arguments of the defence are very alike, in spite of the huge gap between both writers. For Lacan as for Góngora, the obscurity stems from a material depth, and not from an ideal profundity. Both take into account, at every step of their discourse, the stratified thickness that every element of language owes to the unique peculiarity of its history. Copyright © 2013 ERES. Source

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