Doctorat en Sciences / Vol. 1 :TH-000203 ;Vol. 2 :TH-000204 ;Annexes :TH-000205 ;Graphiques :TH-000206 / Thèses annexes :- Les besoins alimentaires d'une plante évoluent au cours de la végétation- L'application de la méthode des variantes systématiques à deux groupes de points symétriques (symétrie directe et symétrie inversée) conduisent à des résultats concordants- L'alimentation d'une plante sur un substrat expérimental pauvre à l'aide de solutions uniquement constituées de mélanges d'acides ou de mélanges de bases, jette un jour sur le statut alimentaire du substrat et les possibilités de son alimentation" / info:eu-repo/semantics/nonPublished

Doctorat en Sciences / Vol. 2 :TH-000209 ;Annexe 1 :Systématique et floristique :TH-000210 ;Annexe 2 :Bibliographie :TH-000211 / info:eu-repo/semantics/nonPublished

Doctorat en philosophie et lettres, Orientation linguistique / Vol 1 = TH-000001 ;Vol 2 = TH-000002 ;Annexes = TH-000003 / info:eu-repo/semantics/nonPublished

Doctorat en Sciences / Thèse annexe :"Le déroulement morphogénétique chez les plantes est contrôlé par des substances d'origine nucléaire (directe ou indirecte) capables de diffuser dans les tissus; ces substances n'ont pas nécessairement de caractère spécifique" / info:eu-repo/semantics/nonPublished

Doctorat en philosophie et lettres / info:eu-repo/semantics/nonPublished

Doctorat en philosophie et lettres / info:eu-repo/semantics/nonPublished

Data has an undoubtable impact on society. Storing and processing large amounts of available data is currently one of the key success factors for an organization. Nonetheless, we are recently witnessing a change represented by huge and heterogeneous amounts of data. Indeed, 90% of the data in the world has been generated in the last two years. Thus, in order to carry on these data exploitation tasks, organizations must first perform data integration combining data from multiple sources to yield a unified view over them. Yet, the integration of massive and heterogeneous amounts of data requires revisiting the traditional integration assumptions to cope with the new requirements posed by such data-intensive settings.This PhD thesis aims to provide a novel framework for data integration in the context of data-intensive ecosystems, which entails dealing with vast amounts of heterogeneous data, from multiple sources and in their original format. To this end, we advocate for an integration process consisting of sequential activities governed by a semantic layer, implemented via a shared repository of metadata. From an stewardship perspective, this activities are the deployment of a data integration architecture, followed by the population of such shared metadata. From a data consumption perspective, the activities are virtual and materialized data integration, the former an exploratory task and the latter a consolidation one. Following the proposed framework, we focus on providing contributions to each of the four activities.We begin proposing a software reference architecture for semantic-aware data-intensive systems. Such architecture serves as a blueprint to deploy a stack of systems, its core being the metadata repository. Next, we propose a graph-based metadata model as formalism for metadata management. We focus on supporting schema and data source evolution, a predominant factor on the heterogeneous sources at hand. For virtual integration, we propose query rewriting algorithms that rely on the previously proposed metadata model. We additionally consider semantic heterogeneities in the data sources, which the proposed algorithms are capable of automatically resolving. Finally, the thesis focuses on the materialized integration activity, and to this end, proposes a method to select intermediate results to materialize in data-intensive flows. Overall, the results of this thesis serve as contribution to the field of data integration in contemporary data-intensive ecosystems. / Doctorat en Sciences de l'ingénieur et technologie / info:eu-repo/semantics/nonPublished

Doctorat en Sciences / info:eu-repo/semantics/nonPublished

En utilisant un processus de recherche minutieux étape par étape, cette thèse a créé une équipe de recherche européenne pour concevoir son protocole de recherche. L'examen systématique de la littérature a montré une énorme quantité de définitions différentes (132 définitions différentes) et une grande diversité dans ces définitions (avec 1631 critères uniques distincts). La définition globale du concept de multimorbidité découlant de la revue systématique de la littérature est une étape pertinente.Les traductions du concept ont été finalisées pour le bulgare, le castellan, le catalan, le croate, le français, le galicien, l'allemand, le grec, l'italien et le polonais. Les études qualitatives ont confirmé le concept en MG et ont ajouté deux modificateurs de la Multimorbidité aux compétences fondamentales de la Wonca et la dynamique des relations médecin-patient comme aide à la détection et à la gestion de la multimorbidité. Le programme de recherche a porté sur les besoins futurs de recherche sur la mesure de la multimorbidité et son impact sur le patient. Elle a également renforcé la nécessité de simplifier ce concept en utilisant une approche pragmatique pour déterminer les variables utiles du concept sur ses résultats et son lien avec la complexité. / Using a step-by-step careful research process this thesis created a European research team to design its research protocol. The systematic review of literature showed a huge amount of different definitions (132 different definitions) and a great diversity in those definitions (with 1631 distinct single criteria). The comprehensive definition of the concept of multimorbidity issued from the systematic literature review was a relevant step.The translations of the concept were finalized for Bulgarian, Castellan, Catalan, Croatian, French, Galician, German, Greek, Italian and Polish. The qualitative studies confirmed the concept for FPs and added two modificators of Multimorbidity with the Wonca’s core competencies of FM and the doctor-patient relationship dynamics as a help to detect and manage multimorbidity.The research agenda focused future research needs on the measurement of multimorbidity and its impact on patient. It also enhanced the need for the simplification of this concept using a pragmatic approach to determine the useful variables of the concept on its outcomes and its link to complexity.

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