Are R&D collaborative agreements persistent at the firm level? Empirical evidence for the Spanish case

We provide evidence on the dynamics in firms’ R&D cooperation behaviour. Our main objective is to analyse if R&D collaborative agreements are persistent at the firm level, and in such a case, to study what are the main drivers of this phenomenon. R&D cooperation activities at the firm level can be persistent due to true state dependence, this implying that cooperating in a given period enhances the probability of doing it in the subsequent period and it can also be a consequence of firms’ individual heterogeneity, so that certain firms have certain characteristics that make them more likely to carry out technological alliances.

Are R&D collaborative agreements persistent at the firm level? Empirical evidence for the Spanish case

We provide evidence on the dynamics in firms’ R&D cooperation behaviour. Our main objective is to analyse if R&D collaborative agreements are persistent at the firm level, and in such a case, to study what are the main drivers of this phenomenon. R&D cooperation activities at the firm level can be persistent due to true state dependence, this implying that cooperating in a given period enhances the probability of doing it in the subsequent period and it can also be a consequence of firms’ individual heterogeneity, so that certain firms have certain characteristics that make them more likely to carry out technological alliances.

Analyse de sensibilité de l’effet d’un programme de prévention avec randomisation : application de trois techniques d’appariement pour balancer les groupes contrôle et expérimental : distance de Mahanalobis, score de propension et algorithme génétique

Les analyses effectuées dans le cadre de ce mémoire ont été réalisées à l'aide du module MatchIt disponible sous l’environnent d'analyse statistique R. / Statistical analyzes of this thesis were performed using the MatchIt package available in the statistical analysis environment R.

Suivi prospectif à une année des prothèses de genou F.I.R.S.T. Evolution avec analyse ambulatoire de la marche

Le but de mon travail de master est de présenter les résultats à une année postopératoire d'une étude prospective sur une nouvelle prothèse totale du genou : la F.I.R.S.T. Evolution. Cette prothèse s'intéresse à des patients plus jeunes, avec une importante laxité des ligaments collatéraux. L'étude finale suivra à cinq ans une cohorte de cinquante patients environ. Actuellement, nous suivons 17 patients opérés avec cette prothèse (dont 9 femmes et 8 hommes, 9 genoux droits et 8 genoux gauches) avec un âge moyen de 69,10 ans (de 42 à 83 ans). Pour l'obtention des résultats, les patients ont remplis des questionnaires spécifiques couramment utilisés (Eq5D, WOMAC, KSS, échelle analogique de la douleur EVA/VAS, UCLA activity-rating level), ont bénéficié de contrôles radiologiques réguliers et d'une analyse régulière de la marche, à trois vitesses différentes. Cette analyse est objective et se base sur un système de capteurs miniaturisés. Les résultats cliniques obtenus à une année démontrent une amélioration globale de la fonction du genou et de la qualité de vie perçue par le patient (Eq5D, WOMAC, EVA/VAS, KSS, UCLA). Les données à une année de l'analyse de marche montrent une amélioration significative dans tous les paramètres du cycle de marche et aux différentes vitesses. En comparant nos résultats avec ceux précédemment obtenus, nous pouvons être satisfaits car ils se sont améliorés depuis la dernière échéance à 6 mois. De plus, nos résultats à une année suivent ceux obtenus dans d'autres études utilisant les mêmes questionnaires et une analyse objective de la marche. On s'attend à ce que ces données se stabilisent voire continuent de s'améliorer dans les années à venir.

Social network analysis applied to knowledge creation and transfer in the portuguese agricultural R&D field: an exploratory study

Paper presented at the 9th European Conference on Knowledge Management, Southampton Solent University, Southampton, UK, 4-5 Sep. 2008. URL: http://academic-conferences.org/eckm/eckm2008/eckm08-home.htm

Stochasticity favoring the effects of the R&D strategies of the firms

We present stochastic dynamics on the production costs of Cournot competitions, based on perfect Nash equilibria of nonlinear R&D investment strategies to reduce the production costs of the firms at every period of the game. We analyse the effects that the R&D investment strategies can have in the profits of the firms along the time. We observe that, in certain cases, the uncertainty can improve the effects of the R&D strategies in the profits of the firms due to the non-linearity of the profit functions and also of the R&D parameters.

SDAR: a package for plotting and analyzing stratigraphy data in R

Stratigraphic Columns (SC) are the most useful and common ways to represent the eld descriptions (e.g., grain size, thickness of rock packages, and fossil and lithological components) of rock sequences and well logs. In these representations the width of SC vary according to the grain size (i.e., the wider the strata, the coarser the rocks (Miall 1990; Tucker 2011)), and the thickness of each layer is represented at the vertical axis of the diagram. Typically these representations are drawn 'manually' using vector graphic editors (e.g., Adobe Illustrator®, CorelDRAW®, Inskape). Nowadays there are various software which automatically plot SCs, but there are not versatile open-source tools and it is very di cult to both store and analyse stratigraphic information. This document presents Stratigraphic Data Analysis in R (SDAR), an analytical package1 designed for both plotting and facilitate the analysis of Stratigraphic Data in R (R Core Team 2014). SDAR, uses simple stratigraphic data and takes advantage of the exible plotting tools available in R to produce detailed SCs. The main bene ts of SDAR are: (i) used to generate accurate and complete SC plot including multiple features (e.g., sedimentary structures, samples, fossil content, color, structural data, contacts between beds), (ii) developed in a free software environment for statistical computing and graphics, (iii) run on a wide variety of platforms (i.e., UNIX, Windows, and MacOS), (iv) both plotting and analysing functions can be executed directly on R's command-line interface (CLI), consequently this feature enables users to integrate SDAR's functions with several others add-on packages available for R from The Comprehensive R Archive Network (CRAN).

Analyse des risques d'extinction des populations naturelles

A review of extinction risk analysis and viability methods is presented. The importance of environmental, demographic and genetic uncertainties, as well as the role of catastrophes are successively considered, and different approaches aiming at the integration of these risk factors in predictive population dynamic models are discussed.