Journal of Gender Equality Disability Social Inclusion and Children
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On the cross-sectional distribution of portfolio returns
No full textThe aim of this paper is to study the distribution of portfolio returns across portfolios, and for given asset returns. We focus on the most common type of investment, considering portfolios whose weights are non-negative and sum up to 1. We provide algorithms and formulas from computational geometry and the literature on splines to compute the exact values of the probability density function, and of the cumulative distribution function, at any point. We also provide closed form solutions for the computation of its first four moments, and an algorithm to compute the higher moments. All algorithms and formulas allow also for equal asset returns
Un processus à décision de Markov en temps discret pour minimiser l'énergie sous des contraintes d'échéances
No full textThis paper proposes a Discrete Time Markov Decision Process (MDP) approach to compute the optimal on-line speed scaling policy to minimize the energy consumption of a single processor executing a finite or infinite set of jobs with real-time constraints. We provide several qualitative properties of the optimal policy: monotonicity with respect to the jobs parameters, comparison with on-line deterministic algorithms. Numerical experiments in several scenarios show that our proposition performs well when compared with off-line optimal solutions and out-performs on-line solutions oblivious to statistical information on the jobs
Hermé (Seine-et-Marne), Les Malletons : (carrières SPM), phase 4, rapport de diagnostic, Pantin
No full textProspection magnétique sur le site de la Grosse Pierre à Ors (Château d’Oléron, Charente-Maritime)
No full textProspections géophysiques sur le site de La Peyrouse (Saint-Félix-de-Villadeix, Dordogne). Février-Novembre 2019. Rapport de prospection
No full textLa participation d'Haïti à la quatrième réunion de la CEPAL sur le Consensus de Montevideo
No full textL’interopérabilité des données DVF pour l’analyse des marchés immobiliers locaux: Un guide méthodologique pour l’étude du résidentiel illustré par le cas de Nantes Métropole
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French Cystic Fibrosis Registry. Annual data report 2017
No full textObjectivesIn 1992, the medical Council of the association Vaincre la Mucoviscidose, set up a national cystic fibrosis observatory. The Observatoire national de la mucovicidose (ONM), with the following objectives:- improving knowledge on medical and social characteristics - gaining a better understanding of the socioeconomic cost of this disease with a view to obtaining sufficient resources to cover constantly growing needs- improving information available to help both parents and patients in their personal choices, and institutional partners in strategic decisions- helping research by facilitating pre-selection of patients eligible for clinical trials - evaluating the impact of therapeutics and facilitate access to new treatments.Covering the entire population of patients in France, has since been added to the initial objectives. The patient organization has therefore transformed the ONM into a national cystic fibrosis registry. This initiative was approved in July 2006 by the Committee for Protection of Personal Data in Medical Research and in March 2007 by the Data Protection Agency. At the end of 2008 and then in 2011 and 2015, the registry was certified by the National Committee of Rare Disease Registries. Population and dataThe population is composed of people with cystic fibrosis followed in the French CF care centres (metropolitan France, Reunion Island and Guadeloupe). Data are collected once a year by means of an e-CRF, paper questionnaire or export from electronic medical records. They refer to the previous year and include semi-anonymous patient identification, diagnosis, medical follow-up, treatments, anthropometry, respiratory function, microbiology, evolution of the condition and social and family situation. Thematic questionnaires collect data on pregnancies, Burkholderia Cepacia complex and related, and inclusion in clinical trials. Data use Statistical analysis is performed on anonymized data. Unless otherwise indicated, the results presented hereafter relate to the population seen during the year 2017. Data from different centers are now entered in one file per patient, thus allowing better data exhaustiveness and quality. Missing data were considered an absence of event, some percentages can therefore be underestimated