Bien Vivre et droit à l’autodétermination des peuples

L’Amérique latine n’échappe pas à l’exploitation effrénée de territoires hier difficilement accessibles et des ressources naturelles qu’ils renferment. L’offensive de l’industrie extractive est de ce fait de plus en plus contestée par des populations dont le mode de vie et l’identité sont profondément marqués par leur rapport à la terre et à la nature. Parmi ces populations qui résistent, les peuples autochtones ne donnent plus leur place. À tel point qu’ils réussissent à modifier la scène politique dans plusieurs pays. Les constitutions de la Bolivie et de l’Équateur présentent à cet égard une rupture majeure à l’endroit d’un modèle de développement qui a souvent pour effet de détruire des équilibres naturels et de violer les droits individuels et collectifs de peuples occupant le territoire ainsi « développé ». Fondées sur la conception du Bien Vivre en tant qu’alternative au modèle développement dominant, ces constitutions sont non seulement inspirantes pour les peuples autochtones, mais elles le sont également pour tous les peuples qui cherchent à renouveler la bataille pour un droit tangible à l’autodétermination des peuples

First improvements toward a reproducible Telemac-2D

Water Qualit

L’influence des relations familiales et sociales sur la consommation de médicaments psychotropes chez les personnes âgées

Les psychotropes occupent le deuxième rang dans la consommation de médicaments chez les personnes âgées. L'objectif de cette étude est de vérifier un modèle explicatif de la consommation de psychotropes dans cette population. Notre principale hypothèse est que la qualité des relations qu'entretient une personne âgée avec autrui, et particulièrement avec ses enfants, a une influence directe sur son bien-être psychologique, lequel a une influence directe sur la non-consommation de psychotropes. Une enquête a été réalisée auprès d'un échantillon de 500 personnes âgées de 65 à 84 ans, vivant à domicile. Au cours des trois mois précédant l'entrevue, 31,8 % des répondants ont consommé des psychotropes. Les données empiriques n'ayant pas permis de vérifier le modèle théorique retenu, des analyses multivariées ont conduit à l'élaboration d'un modèle explicatif de la consommation qui met en évidence que le bien-être psychologique et la santé sont les meilleurs prédicteurs de cette consommation. Un bien-être psychologique élevé diminue la consommation alors qu'un mauvais état de santé l'augmente. Les relations sociales influencent directement le bien-être psychologique alors que les relations familiales ont un effet de moindre importance. Le modèle explicatif proposé explique 13 % du phénomène de la consommation de psychotropes chez les personnes âgées.Psychotropic drugs are the second most commonly used medication by Quebec's elderly. The objective of this study is to test a theoretical model of psychotropic drug use in the elderly. The principal hypothesis is that the quality of relationships the elderly person has with others, particularly with his or her children, has a direct influence on his or her psychological well-being, which, in turn, directly affects the consumption of psychotropic agents. A survey was conducted on a sample of 500 elderly people, aged 65-84 years, living at home. 31.8% of the respondents used psychotropic drugs during the three-month period preceding the interview. Path analysis led to the elaboration of a modified model for the consumption of psychotropic drugs by the elderly which indicates that the best predictors of consumption are both the psychological well-being and the state of health of the individual. More elevated is the psychological well-being, less is the consumption of psychotropic drugs, whereas poor health condition increases it. The quality of an individual's social relationships has a direct influence on his or her psychological well-being, whereas family relationships are of lesser importance. Our model accounts for 13% of the predictors of psychotropic consumption by the elderly

An enhanced automatic speech recognition system for Arabic

International audienceAutomatic speech recognition for Arabic is a very challenging task. Despite all the classical techniques for Automatic Speech Recognition (ASR), which can be efficiently applied to Arabic speech recognition , it is essential to take into consideration the language specificities to improve the system performance. In this article, we focus on Modern Standard Arabic (MSA) speech recognition. We introduce the challenges related to Arabic language, namely the complex morphology nature of the language and the absence of the short vowels in written text, which leads to several potential vowelization for each graphemes, which is often conflicting. We develop an ASR system for MSA by using Kaldi toolkit. Several acoustic and language models are trained. We obtain a Word Error Rate (WER) of 14.42 for the baseline system and 12.2 relative improvement by rescoring the lattice and by rewriting the output with the right hamoza above or below Alif

Machine Translation on a parallel Code-Switched Corpus

International audienceCode-switching (CS) is the phenomenon that occurs when a speaker alternates between two or more languages within an utterance or discourse. In this work, we investigate the existence of code-switching in formal text, namely proceedings of multilingual institutions. Our study is carried out on the Arabic-English code-mixing in a parallel corpus extracted from official documents of United Nations. We build a parallel code-switched corpus with two reference translations one in pure Arabic and the other in pure English. We also carry out a human evaluation of this resource in the aim to use it to evaluate the translation of code-switched documents. To the best of our knowledge, this kind of corpora does not exist. The one we propose is unique. This paper examines several methods to translate code-switched corpus: conventional statistical machine translation, the end-to-end neural machine translation and multitask-learning

La structure d’algèbre amassée des grassmaniennes Gr(k, n)

La grassmannienne Gr(k,n), qui est l’un des objets étudiés dans le domaine de la géométrie algébrique, est l’ensemble de tous les sous-espaces de dimension k d’un espace vectoriel de dimension n. Il se trouve que, pour chaque grassmanienne, l’anneau de coordonnées d’une grassmanienne est isomorphe à une algèbre amassée, un objet très populaire dans la théorie de représentation. Dans cet article, pour Gr(3,6), nous avons calculé toutes les algèbres inclinées et inclinées amassées. Nous avons ensuite vérifié la validité d’un magnifique théorème nous venant de la théorie de représentation qui fait un lien entre ces algèbres et l’algèbre amassée associée à cette grassmanienne

Activation of the extracellular signal-regulated protein kinase (ERK) cascade by membrane-type-1 matrix metalloproteinase (MT1-MMP)

AbstractThe mechanisms underlying membrane-type-1 matrix metalloproteinase (MT1-MMP)-dependent induction of cell migration were investigated. Overexpression of MT1-MMP induced a marked increase in cell migration, this increase being dependent on the presence of the cytoplasmic domain of the protein. MT1-MMP-dependent migration was inhibited by a mitogen-activated protein kinase kinase 1 inhibitor, suggesting the involvement of the extracellular signal-regulated protein kinase (ERK) cascade in the induction of migration. Accordingly, MT1-MMP overexpression induced the activation of ERK, this process being also dependent on the presence of its cytoplasmic domain. MT1-MMP-induced activation of both migration and ERK required the catalytic activity of the enzyme as well as attachment of the cells to matrix proteins. The MT1-MMP-dependent activation of ERK was correlated with the activation of transcription through the serum response element, whereas other promoters were unaffected. Taken together, these results indicate that MT1-MMP trigger important changes in cellular signal transduction events, leading to cell migration and to gene transcription, and that these signals possibly originate from the cytoplasmic domain of the protein

Characterization of stellar companion from high-contrast long-slit spectroscopy data: The EXtraction Of SPEctrum of COmpanion (EXOSPECO) algorithm

High-contrast long-slit spectrographs can be used to characterize exoplanets. High-contrast long-slit spectroscopic data are however corrupted by stellar leakages which largely dominate other signals and make the process of extracting the companion spectrum very challenging. This paper presents a complete method to calibrate the spectrograph and extract the signal of interest. The proposed method is based on a flexible direct model of the high-contrast long-slit spectroscopic data. This model explicitly accounts for the instrumental response and for the contributions of both the star and the companion. The contributions of these two components and the calibration parameters are jointly estimated by solving a regularized inverse problem. This problem having no closed-form solution, we propose an alternating minimization strategy to effectively find the solution. We have tested our method on empirical long-slit spectroscopic data and by injecting synthetic companion signals in these data. The proposed initialization and the alternating strategy effectively avoid the self-subtraction bias, even for companions observed very close to the coronagraphic mask. Careful modeling and calibration of the angular and spectral dispersion laws of the instrument clearly reduce the contamination by the stellar leakages. In practice, the outputs of the method are mostly driven by a single hyper-parameter which tunes the level of regularization of the companion SED.Comment: Paper under review by Astronomy & Astrophysic