Paul Sabatier University

About: Paul Sabatier University is a education organization based out in Toulouse, France. It is known for research contribution in the topics: Population & Catalysis. The organization has 15431 authors who have published 23386 publications receiving 858364 citations.

Branching and interacting particle systems. Approximations of Feynman-Kac formulae with applications to non-linear filtering

Abstract: This paper focuses on interacting particle systems methods for solving numerically a class of Feynman-Kac formulae arising in the study of certain parabolic differential equations, physics, biology, evolutionary computing, nonlinear filtering and elsewhere. We have tried to give an “expose” of the mathematical theory that is useful for analyzing the convergence of such genetic-type and particle approximating models including law of large numbers, large deviations principles, fluctuations and empirical process theory as well as semigroup techniques and limit theorems for processes.

The evolutionary ecology of clonally propagated domesticated plants.

Abstract: Summary While seed-propagated crops have contributed many evolutionary insights, evolutionary biologists have often neglected clonally propagated crops. We argue that widespread notions about their evolution under domestication are oversimplified, and that they offer rich material for evolutionary studies. The diversity of their wild ancestors, the diverse ecologies of the crop populations themselves, and the intricate mix of selection pressures, acting not only on the parts harvested but also on the parts used by humans to make clonal propagules, result in complex and diverse evolutionary trajectories under domestication. We examine why farmers propagate some plants clonally, and discuss the evolutionary dynamics of sexual reproduction in clonal crops. We explore how their mixed clonal ⁄ sexual reproductive systems function, based on the sole example studied in detail, cassava (Manihot esculenta). Biotechnology is now expanding the number of clonal crops, continuing the 10 000-yr-old trend to increase crop yields by propagating elite genotypes. In an era of rapid global change, it is more important than ever to understand how the adaptive potential of clonal crops can be maintained. A key component of strategies for preserving this adaptive potential is the maintenance of mixed clonal/sexual systems, which can be achieved by encouraging and valuing farmer knowledge about the sexual reproductive biology of their clonal crops. Contents Summary 318 I. Domesticated plants as model systems in evolutionary biology: bringing clonally propagated crops into the fold 319

New human and mouse microRNA genes found by homology search

Abstract: Conservation of microRNAs (miRNAs) among species suggests that they bear conserved biological functions. However, sequencing of new miRNAs has not always been accompanied by a search for orthologues in other species. I report herein the results of a systematic search for interspecies orthologues of miRNA precursors, leading to the identification of 35 human and 45 mouse new putative miRNA genes. MicroRNA tracks were written to visualize miRNAs in human and mouse genomes on the UCSC Genome Browser. Based on their localization, miRNA precursors can be excised either from introns or exons of mRNAs. When intronic miRNAs are antisense to the apparent host gene, they appear to originate from ill-characterized antisense transcription units. Exonic miRNAs are, in general, nonprotein-coding, poorly conserved genes in sense orientation. In three cases, the excision of an miRNA from a protein-coding mRNA might lead to the degradation of the rest of the transcript. Moreover, three new examples of miRNAs fully complementary to an mRNA are reported. Among these, miR135a might control the stability and/or translation of an alternative form of the glycerate kinase mRNA by RNA interference. I also discuss the presence of human miRNAs in introns of paralogous genes and in miRNA clusters.

From humor recognition to irony detection: The figurative language of social media

Abstract: The research described in this paper is focused on analyzing two playful domains of language: humor and irony, in order to identify key values components for their automatic processing. In particular, we are focused on describing a model for recognizing these phenomena in social media, such as ''tweets''. Our experiments are centered on five data sets retrieved from Twitter taking advantage of user-generated tags, such as ''#humor'' and ''#irony''. The model, which is based on textual features, is assessed on two dimensions: representativeness and relevance. The results, apart from providing some valuable insights into the creative and figurative usages of language, are positive regarding humor, and encouraging regarding irony.