Educational Digital Libraries (DLs) are complex information systems which are designed to support individuals' information needs and information seeking behavior. To have a broad impact on the communities in education and to serve for a long period, DLs need to structure and organize the resources in a way that facilitates the dissemination and the reuse of resources. Such a digital library should meet defined quality dimensions in the 5S (Societies, Scenarios, Spaces, Structures, Streams) framework - including completeness, consistency, efficiency, extensibility, and reliability - to ensure that a good quality DL is built. In this research, we addressed both external and internal quality aspects of DLs. For internal qualities, we focused on completeness and consistency of the collection, catalog, and repository. We developed an application pipeline to acquire user-generated computing-related resources from YouTube and SlideShare for an educational DL. We applied machine learning techniques to transfer what we learned from the ACM Digital Library dataset. We built classifiers to catalog resources according to the ACM Computing Classification System from the two new domains that were evaluated using Amazon Mechanical Turk. For external qualities, we focused on efficiency, scalability, and reliability in DL services. We proposed cloud-based designs and applications to ensure and improve these qualities in DL services using cloud computing. The experimental results show that our proposed methods are promising for enhancing and enriching an educational digital library. This work received support from ACM, as well as the National Science Foundation under Grant Numbers DUE-0836940, DUE-0937863, and DUE-0840719, and IMLS LG-71-16-0037-16. / Ph. D. / Educational Digital Libraries (DLs) are designed to serve users finding educational materials. To have a broad impact on the communities in education for a long period, DLs need to structure and organize the resources in a way that facilitates their dissemination and reuse. Such a digital library should be built on a well-defined framework to ensure that the services it provides are of good quality. In this research, we focused on the quality aspects of DLs. We developed an application pipeline to acquire resources contributed by the users from YouTube and SlideShare for an educational DL. We applied machine learning techniques to build classifiers in order to catalog DL collections using a uniform classification system: the ACM Computing Classification System. We also used Amazon Mechanical Turk to evaluate the classifier’s prediction result and used the outcome to improve classifier performance. To ensure efficiency, scalability, and reliability in DL services, we proposed cloud-based designs and applications to enhance DL services. The experimental results show that our proposed methods are promising for enhancing and enriching an educational digital library.

[pt] Este trabalho tem como objetivo principal estudar o comportamento de flambagem lateral de vigas através de modelos de elementos finitos baseados nas teorias de placas de Kirchhoff e de Mindlin–Reissner. Esses modelos foram combinados com efeitos de membrana, possibilitando a análise de cascas. Foi desenvolvido um código MATLAB para analisar cargas críticas estáticas e dinâmicas, modos de flambagem, frequências e modos de vibração de placas finas e espessas sujeitas a cargas conservativas e cargas não conservativas (também chamadas de seguidoras ou circulatórias). O programa ANSYS foi usado para validação e comparação. Para o cálculo das frequências naturais foram usadas as matrizes de massa e a matriz de rigidez. Para o cálculo da carga crítica estática com carga conservativa, implementa-se a matriz geométrica. Quando há carregamento seguidor não conservativo, é necessário adicionar uma matriz de correção de cargas que é uma matriz assimétrica, achando assim a carga crítica dinâmica, também denominada de flutter. Diferentes condições de contorno e diferentes carregamentos são aplicados em vigas e analisados os casos de flambagem lateral. Valores teóricos encontrados na literatura são comparados com os valores achados usando o método de elementos finitos. A instabilidade lateral de vigas esbeltas tem grande interesse prático, pois em alguns casos pode ocorrer o esgotamento da resistência da peça antes mesmo que seja atingido o estado limite último de flexão. Por isso, o tema flambagem lateral é mencionado em diversas normas nacionais e internacionais, tendo sido feitas algumas comparações com os resultados do programa implementado neste trabalho. / [en] The main objective of this paper is to present results on the lateral buckling of beams using finite elements based on Kirchhoff and Mindlin-Reissner Plate theories, merged with membrane elements in order to include the analysis of shells. A MATLAB code was developed to calculate static and dynamic critical loads, buckling modes, frequencies, and vibration modes of thin and thick plates subjected to conservative and non-conservative (also called follower or circulatory) loads. Mass and stiffness matrices are employed to determine natural frequencies. In the case of conservative loads, static critical loads are calculated by adding a so-called geometric matrix. However, in case of displacement-dependent applied forces, it is necessary to implement a matrix that will correct the loads, designated as load matrix. In the case of conservative forces, the load matrix is symmetric, and in the case of non-conservative forces, it is non-symmetric. In the latter case, the critical load usually will correspond to dynamic behavior designated as flutter. Different boundary conditions and loads are considered and several cases of lateral buckling are investigated. Theoretical values when found in the literature are compared with values determined by Finite Element Method (FEM). The lateral instability of slender beams is very important in practice, because in some situations it may occur prior to ultimate plastic limit state in bending. Therefore, lateral buckling is mentioned in a wide variety of national and international rules, and some comparisons with the results of the computer code developed herein are presented.

Les nouvelles technologies développées ces dernières années dans le domaine de la génétique ont permis de générer des bases de données de très grande dimension, en particulier de Single Nucleotide Polymorphisms (SNPs), ces bases étant souvent caractérisées par un nombre de variables largement supérieur au nombre d'individus. L'objectif de ce travail a été de développer des méthodes statistiques adaptées à ces jeux de données de grande dimension et permettant de sélectionner les variables les plus pertinentes au regard du problème biologique considéré. Dans la première partie de ce travail, un état de l'art présente différentes méthodes de sélection de variables non supervisées et supervisées pour 2 blocs de variables et plus. Dans la deuxième partie, deux nouvelles méthodes de sélection de variables non supervisées de type "sparse" sont proposées : la Group Sparse Principal Component Analysis (GSPCA) et l'Analyse des Correspondances Multiples sparse (ACM sparse). Vues comme des problèmes de régression avec une pénalisation group LASSO elles conduisent à la sélection de blocs de variables quantitatives et qualitatives, respectivement. La troisième partie est consacrée aux interactions entre SNPs et dans ce cadre, une méthode spécifique de détection d'interactions, la régression logique, est présentée. Enfin, la quatrième partie présente une application de ces méthodes sur un jeu de données réelles de SNPs afin d'étudier l'influence possible du polymorphisme génétique sur l'expression du vieillissement cutané au niveau du visage chez des femmes adultes. Les méthodes développées ont donné des résultats prometteurs répondant aux attentes des biologistes, et qui offrent de nouvelles perspectives de recherches intéressantes

Les nouvelles technologies développées ces dernières années dans le domaine de la génétique ont permis de générer des bases de données de très grande dimension, en particulier de Single Nucleotide Polymorphisms (SNPs), ces bases étant souvent caractérisées par un nombre de variables largement supérieur au nombre d'individus. L'objectif de ce travail a été de développer des méthodes statistiques adaptées à ces jeux de données de grande dimension et permettant de sélectionner les variables les plus pertinentes au regard du problème biologique considéré. Dans la première partie de ce travail, un état de l'art présente différentes méthodes de sélection de variables non supervisées et supervisées pour 2 blocs de variables et plus. Dans la deuxième partie, deux nouvelles méthodes de sélection de variables non supervisées de type "sparse" sont proposées : la Group Sparse Principal Component Analysis (GSPCA) et l'Analyse des Correspondances Multiples sparse (ACM sparse). Vues comme des problèmes de régression avec une pénalisation group LASSO elles conduisent à la sélection de blocs de variables quantitatives et qualitatives, respectivement. La troisième partie est consacrée aux interactions entre SNPs et dans ce cadre, une méthode spécifique de détection d'interactions, la régression logique, est présentée. Enfin, la quatrième partie présente une application de ces méthodes sur un jeu de données réelles de SNPs afin d'étudier l'influence possible du polymorphisme génétique sur l'expression du vieillissement cutané au niveau du visage chez des femmes adultes. Les méthodes développées ont donné des résultats prometteurs répondant aux attentes des biologistes, et qui offrent de nouvelles perspectives de recherches intéressantes / New technologies developed recently in the field of genetic have generated high-dimensional databases, especially SNPs databases. These databases are often characterized by a number of variables much larger than the number of individuals. The goal of this dissertation was to develop appropriate statistical methods to analyse high-dimensional data, and to select the most biologically relevant variables. In the first part, I present the state of the art that describes unsupervised and supervised variables selection methods for two or more blocks of variables. In the second part, I present two new unsupervised "sparse" methods: Group Sparse Principal Component Analysis (GSPCA) and Sparse Multiple Correspondence Analysis (Sparse MCA). Considered as regression problems with a group LASSO penalization, these methods lead to select blocks of quantitative and qualitative variables, respectively. The third part is devoted to interactions between SNPs. A method employed to identify these interactions is presented: the logic regression. Finally, the last part presents an application of these methods on a real SNPs dataset to study the possible influence of genetic polymorphism on facial skin aging in adult women. The methods developed gave relevant results that confirmed the biologist's expectations and that offered new research perspectives.

[ES] Los aromas se encuentran en constante convivencia con las personas, por lo cual, sin que de forma consciente se reconozcan, existe una vinculación clara a experiencias vividas que se graban en la memoria y que evocan emociones complejas de explicar. Investigaciones posteriores explican que recordamos un 35% de lo que olemos, estudios que, propiciaron el desarrollo al mismo tiempo, de disciplinas como el marketing olfativo, permitiendo una ampliación de forma emotiva, los lazos con el consumidor de manera que se agrande su potencial comercial enfocado sobre la venta de productos o servicios. Sin embargo, fuera del ámbito de la perfumería, se cuenta con nulas herramientas que permitan el desarrollo de aromas. Por ello la hipótesis central de esta investigación, consiste en: Demostrar que mediante el uso de modelos sistémicos podemos determinar un odotipo característico de la ciudad de València. / [CA] Les aromes es troben en constant convivència amb les persones, per la qual cosa, sense que de forma conscient es reconeguin, hi ha una vinculació clara a experiències viscudes que es graven a la memòria i que evoquen emocions complexes d'explicar. Investigacions posteriors expliquen que recordem un 35% del que olorem, estudis que, van propiciar el desenvolupament alhora, de disciplines com el màrqueting olfactiu, permetent una ampliació de forma emotiva, els llaços amb el consumidor de manera que s'engrandi el seu potencial comercial enfocat sobre la venda de productes o serveis. Tot i això, fora de l'àmbit de la perfumeria, es compta amb nul·les eines que permetin el desenvolupament d'aromes. Per això la hipòtesi central d'aquesta investigació consisteix a: Demostrar que mitjançant l'ús de models sistèmics podem determinar un odotip característic de la ciutat de València. / [EN] Aromas are in constant coexistence with people, for which, without being consciously recognized, there is a clear link to lived experiences that are recorded in memory and that evoke emotions that are difficult to explain. Subsequent research explains that we remember 35% of what we smell, studies that, at the same time, led to the development of disciplines such as olfactory marketing, allowing an emotional expansion of ties with the consumer in such a way that its commercial potential is enlarged. focused on the sale of products or services. However, outside the field of perfumery, there are no tools that allow the development of aromas. For this reason, the central hypothesis of this research consists of: Demonstrating that through the use of systemic models we can determine a characteristic odotype of the city of Valencia. / Campos Serrulla, E. (2022). El aroma de València. Diseño del odotipo de la ciudad de València mediante modelos sistémicos [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/188938

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