963 resultados para Classe moyenne


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Tese de Doutoramento, Turismo, Faculdade de Economia, Universidade do Algarve, 2016

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Poster apresentado no XXIV Congresso Anual da Ordem dos Médicos Dentistas, Lisboa, 12-14 Novembro 2015.

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O estudo aborda o projeto de construcao e analise de desempenho de um novo sistema de medida evaporometrica que e acoplado a um tanque classe "A" padrao convencional, dando-se ao sistema o nome "Tanque Classe A Modificado". A viabilidade do sistema foi testada contra medidas simultaneas com o sistema classico (tanque classe "A" padrao e micrometro), revelando, atraves de testes estatisticos, que o Tanque Classe "A" Modificado pode substituir com vantagens o sistema classico, minimizando os erros de leitura que sao cometidos mesmo quando se dispoe de pessoal qualificado para esta operacao e permitindo tambem a realizacao de medidas evaporometricas com boa aproximacao em dias de chuva.

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This paper proposes and investigates a metaheuristic tabu search algorithm (TSA) that generates optimal or near optimal solutions sequences for the feedback length minimization problem (FLMP) associated to a design structure matrix (DSM). The FLMP is a non-linear combinatorial optimization problem, belonging to the NP-hard class, and therefore finding an exact optimal solution is very hard and time consuming, especially on medium and large problem instances. First, we introduce the subject and provide a review of the related literature and problem definitions. Using the tabu search method (TSM) paradigm, this paper presents a new tabu search algorithm that generates optimal or sub-optimal solutions for the feedback length minimization problem, using two different neighborhoods based on swaps of two activities and shifting an activity to a different position. Furthermore, this paper includes numerical results for analyzing the performance of the proposed TSA and for fixing the proper values of its parameters. Then we compare our results on benchmarked problems with those already published in the literature. We conclude that the proposed tabu search algorithm is very promising because it outperforms the existing methods, and because no other tabu search method for the FLMP is reported in the literature. The proposed tabu search algorithm applied to the process layer of the multidimensional design structure matrices proves to be a key optimization method for an optimal product development.

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This paper proposes and investigates a metaheuristic tabu search algorithm (TSA) that generates optimal or near optimal solutions sequences for the feedback length minimization problem (FLMP) associated to a design structure matrix (DSM). The FLMP is a non-linear combinatorial optimization problem, belonging to the NP-hard class, and therefore finding an exact optimal solution is very hard and time consuming, especially on medium and large problem instances. First, we introduce the subject and provide a review of the related literature and problem definitions. Using the tabu search method (TSM) paradigm, this paper presents a new tabu search algorithm that generates optimal or sub-optimal solutions for the feedback length minimization problem, using two different neighborhoods based on swaps of two activities and shifting an activity to a different position. Furthermore, this paper includes numerical results for analyzing the performance of the proposed TSA and for fixing the proper values of its parameters. Then we compare our results on benchmarked problems with those already published in the literature. We conclude that the proposed tabu search algorithm is very promising because it outperforms the existing methods, and because no other tabu search method for the FLMP is reported in the literature. The proposed tabu search algorithm applied to the process layer of the multidimensional design structure matrices proves to be a key optimization method for an optimal product development.

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Dissertação de Mestrado apresentada ao Instituto Superior de Psicologia Aplicada para obtenção de grau de Mestre na especialidade de Psicologia Social e das Organizações.

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O principal objetivo desta dissertação é analisar a classe de distribuições de Panjer, algumas das suas extensões e a utilização destas na modelação do risco coletivo. Inicialmente, são referidos alguns momentos históricos importantes no estudo da família de distribuições de Panjer e no desenvolvimento do modelo do risco coletivo. Apresentamos também alguns artigos publicados nos últimos vinte anos sobre estas temáticas. Depois, são apresentados os conceitos e instrumentos fundamentais na construção das extensões da família de Panjer e na construção recursiva das distribuições do modelo do risco coletivo. Tais conceitos e instrumentos incluem a função geradora de probabilidades, a transformada de Laplace, a mistura e modi cação de distribuições de probabilidade. Seguidamente, são caracterizadas as distribuições discretas pertencentes à classe de Panjer, distribuições essas denominadas de distribuições de contagem básicas, de nidas a recursão de Panjer e duas suas extensões e apresentadas as distribuições pertencentes a cada uma delas. Finalmente, é apresentado o modelo do risco coletivo, designadamente o modelo composto das indemnizações agregadas, cujas distribuições, neste caso, são construídas através do método recursivo. São também expostos dois métodos de construção de distribuições aritméticas. A dissertação termina com a dedução de alguns modelos particulares para o risco coletivo, obtidos com o auxílio dos programas informáticos Mathematica e R.

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Cette étude se concentre sur une expérience d'enseignement exploratoire des mathématiques (EEM), réalisée avec des élèves de 5ème année, dans laquelle on établit une forte connexion avec la réalité et on intensifie la capacité de communication des élèves, tout en promouvant la résolution de problèmes et le raisonnement mathématique. Les leçons de mathématiques sont organisées en quatre phases: (i) Lancement de la tâche aux élèves; (ii) Développement de la tâche; (iii) Discussion de la tâche; et (iv) Systématisation de l’apprentissage mathématique. Afin de préparer la discussion de la tâche, l'enseignante a mis en œuvre la galerie des tâches, grâce à laquelle les élèves ont leur premier contact avec les résolutions de leurs collègues: ils peuvent poser des questions et enregistrer des commentaires dans les feuilles exposées. Cet article présente les résultats d'une leçon sur les pourcentages, dans laquelle les élèves ont travaillé la tâche intitulée « Rabais au Bit-@-Byte ». L'analyse de cette tâche ainsi que les résultats des tâches similaires de la réalité effectuées tout au long de l'année scolaire montrent que le modèle d'enseignement exploratoire des mathématiques (EEM) permet des améliorations dans l'apprentissage des mathématiques au niveau des concepts et aussi des capacités transversales comme le raisonnement, la communication et la résolution de problèmes mathématiques.

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Introdução: A Classe II Divisão 1 trata-se de um tipo de má oclusão com elevada prevalência na população com repercussões tanto físicas como psicológicas que pode ser diagnosticado precocemente em dentição mista, cujo seu tratamento pode ser apenas corretivo em dentição permanente ou bifásico com a primeira fase realizada em dentição mista. Objetivo: O objetivo do trabalho é realizar uma revisão sobre o diagnóstico e tratamento de Classe II Divisão 1 em dentição mista, averiguando qual a melhor metodologia a adotar. Materiais e Métodos: Para a concretização do presente trabalho foi realizada uma revisão bibliográfica, no presente ano, recorrendo-se a diversos motores de busca online, nomeadamente, Pubmed, Scielo, Medline, Science Direct, Elsevier e Scholar Google, utilizando como palavras-chave: “ class II”, “mixed dentition”, “overjet” e “orthodontic treatment”. A pesquisa foi realizada sem limite temporal, no entanto primazia foi conferida a artigos mais recentes. Os artigos foram selecionados mediante o seu rigor científico e interesse para o tema. Conclusão: Após a análise de vários estudos que averiguaram a necessidade de duas fases de tratamento ortodôntico em situações de Classe II Divisão 1 concluiu-se que para um maior conforto do paciente, assim como pelos resultados obtidos, o tratamento apenas em uma fase será o mais indicado. Quanto ao momento mais oportuno para a intervenção ainda existe espaço para debate, ficando claro que dependerá do paciente assim como da metodologia adotada pelo ortodontista.

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Cette étude s’est déroulée dans le contexte de l’École en réseau au Québec. Une classe du primaire a utilisé un espace numérique collaboratif (Knowledge Forum) pour la réalisation d’activités d’éducation artistique, soit l’appréciation d’un corpus d’oeuvres et la création d’un objet d’art. La progression du discours écrit relativement à ces deux objets de partage a été étudiée. Nos résultats montrent que les élèves ont réussi à faire progresser leurs contributions sur les deux objets partagés. En interagissant entre eux, ils ont créé des artéfacts de connaissances partagées et développé un langage artistique propre. À la suite de nos constats, des implications pédagogiques ont été formulées pour d’encourager la participation des élèves lors d’activités d’éducation artistique au moyen d’outils numériques qui soutiennent la collaboration.

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La machine à vecteurs de support à une classe est un algorithme non-supervisé qui est capable d’apprendre une fonction de décision à partir de données d’une seule classe pour la détection d’anomalie. Avec les données d’entraînement d’une seule classe, elle peut identifier si une nouvelle donnée est similaire à l’ensemble d’entraînement. Dans ce mémoire, nous nous intéressons à la reconnaissance de forme de dynamique de frappe par la machine à vecteurs de support à une classe, pour l’authentification d’étudiants dans un système d’évaluation sommative à distance à l’Université Laval. Comme chaque étudiant à l’Université Laval possède un identifiant court, unique qu’il utilise pour tout accès sécurisé aux ressources informatiques, nous avons choisi cette chaîne de caractères comme support à la saisie de dynamique de frappe d’utilisateur pour construire notre propre base de données. Après avoir entraîné un modèle pour chaque étudiant avec ses données de dynamique de frappe, on veut pouvoir l’identifier et éventuellement détecter des imposteurs. Trois méthodes pour la classification ont été testées et discutées. Ainsi, nous avons pu constater les faiblesses de chaque méthode dans ce système. L’évaluation des taux de reconnaissance a permis de mettre en évidence leur dépendance au nombre de signatures ainsi qu’au nombre de caractères utilisés pour construire les signatures. Enfin, nous avons montré qu’il existe des corrélations entre le taux de reconnaissance et la dispersion dans les distributions des caractéristiques des signatures de dynamique de frappe.

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Actuellement au Québec, le contexte d’insertion professionnelle en enseignement représente plusieurs défis pour les enseignants débutants, et ce, en raison de multiples causes (p.ex. la précarité et le manque de soutien). Résultat : près de 15 % à 20 % d’entre eux quitteront la profession dans les cinq premières années de leur carrière et cette statistique ne cesse d’augmenter. Pour remédier à la situation, l’une des solutions envisagées est la mise en place de programmes d’insertion professionnelle (PIP) par les commissions scolaires, lesquels offrent différentes mesures de soutien telles que du mentorat, des ateliers de formation et des réseaux d’entraide en ligne. Cela dit, les modalités de mise en place de ces programmes varient grandement d’un milieu à l’autre, et ce, autant en ce qui a trait aux services offerts qu’à l’admission des candidats. De plus, ceux-ci ne sont généralement évalués que de façon informelle par le milieu. On ne sait donc pas si les enseignants débutants qui y participent se distinguent réellement quant à leur persévérance dans le métier, laquelle repose notamment sur leur motivation au travail, leur capacité de résilience et leur sentiment d’efficacité personnelle (SEP) en classe et à l’école (Bandura, 1997, 2007; Bélair & Lebel, 2007; Deci & Ryan, 1985, 2002; Fernet, Sénécal, Guay, Marsh, & Dowson, 2008; Zacharyas & Brunet, 2012). Ce projet de recherche vise d’une part à mesurer les différences sur le plan de ces variables chez les enseignants débutants participant ou non à un PIP. D’autre part, il vise également à mesurer la prédiction de ces variables par les différentes mesures de soutien offertes dans les PIP chez ceux qui y participent pour constater leur contribution respective dans un PIP. Pour ce faire, une étude préexpérimentale a été menée auprès de 86 participants. À l’aide d’un questionnaire, la motivation au travail, la capacité de résilience et le SEP en classe et à l’école ont été mesurés afin de comparer les résultats du groupe d’enseignants participant à un programme à ceux n’y participant pas. Une MANCOVA a d’abord été conduite avec ces variables et trois variables contrôles « avoir pensé quitter » le milieu d’enseignement, « ordre d’enseignement » et « expérience d’enseignement » comme covariables. Des régressions linéaires multivariées ont ensuite été menées à partir des mesures de soutien. Aucun résultat significatif n’a été obtenu quant aux différences entre les participants en fonction de la participation à un PIP ce qui est représentatif des résultats obtenus dans d’autres recherches sur le sujet (Ingersoll & Strong, 2011). Aucun résultat significatif n’a été obtenu concernant la prédiction des variables d’intérêt par les mesures de soutien.

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Implemented in the context of Business Administration students enrolled in a college level three year technology program, this research investigated students’ perceptions and academic results concurrent with the implementation of an online web module designed to facilitate student self-study. The students involved in this research were enrolled in a program that, while offering a broad education in business disciplines, specialized in the field of accounting. As a result, students were enrolled in academically rigorous accounting courses in each of the six semesters of the program. The weighting of these accounting courses imposes a significant self-study component – typically matching or exceeding the time spent in class. In this context many of the students enrolled in the Business Administration Program have faced difficulties completing the self-study component of the course effectively as demonstrated in low homework completion rates, low homework grade averages and ultimately low success rates in the courses. In an attempt to address this situation this research studied the implementation of a web-based self-study module. Through this module students could access a number of learning tools that were designed to facilitate the self-study process under the premise that more effective self-study learning tools will help remove obstacles and provide more timely confirmation of learning during student self-study efforts. This research collected data from a single cohort of students drawn from the first three sequential accounting courses of the Business Administration Program. The web-based self-study module was implemented in the third of the three sequential accounting courses. The first two of these courses implemented a traditional manual self-study environment. Data collected from the three accounting courses included homework completion rates, homework, exam and final grades for the respective courses. In addition the web-study module allowed the automatic reporting of student usage of a number of specific online learning tools. To complement the academic data, students were surveyed to gain insight into their perceptions of the effectiveness of the web-based system. The research provided a number of interesting insights. First among these was a confirmation of the importance of the self-study process in the academic achievement of the learners. Regardless of the self-study environment, manual or web-enhanced, a significant positive correlation existed between the students’ self-study results, demonstrated in both homework completion rates and homework averages and the corresponding final grades. These results confirm the importance of self-study found generally in the prevailing academic literature regarding students enrolled in higher education. In addition, the web-enhanced learning environment implemented during the third accounting course coincided with significantly higher homework completion rates and corresponding homework averages: homework completion rates in particular increased from a combined average of 63% in the first two accounting courses to 93% in the web-enhanced context of the third accounting course. Moreover, the homework completion rates of the web-enhanced course were evenly distributed across the cohort of students. A quartile-based analysis was subsequently completed. Quartiles were constructed by ranking the students according to their combined average homework completion rates from the first two manual self-study courses, Accounting I and II. The quartile-based homework completion rates for the manual self-study courses Accounting I and II were subsequently compared to the results these same quartiles of students achieved in the web-based self-study within Accounting III. While the first two courses demonstrated significantly uneven homework completion rates across the quartiles ranging from 31% to 91% homework completion rates, the differences among the four quartiles within the web-enhanced module, with an average homework completion rate of 93%, were statistically insignificant. Congruent with the positive academic results observed in the third, web-enhanced course, through the corresponding survey, students expressed a strong attitude in favor of the online self-study environment. This research was designed to add to the existing research that studies the implementation of learning in an online setting. Specifically, the research was designed to explore a middle ground of online learning – a web-enhanced course – a context that supplements the classroom experience rather than replacing it. The web-enhanced accounting course demonstrated impressive favorable results, both academically and in terms of students' perception of the system; these results suggest that a web-enhanced environment can provide learning tools that facilitate the self-study process while providing a structured learning environment that can help developing learners reach their potential.

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Abstract : Although concrete is a relatively green material, the astronomical volume of concrete produced worldwide annually places the concrete construction sector among the noticeable contributors to the global warming. The most polluting constituent of concrete is cement due to its production process which releases, on average, 0.83 kg CO[subscript 2] per kg of cement. Self-consolidating concrete (SCC), a type of concrete that can fill in the formwork without external vibration, is a technology that can offer a solution to the sustainability issues of concrete industry. However, all of the workability requirements of SCC originate from a higher powder content (compared to conventional concrete) which can increase both the cost of construction and the environmental impact of SCC for some applications. Ecological SCC, Eco-SCC, is a recent development combing the advantages of SCC and a significantly lower powder content. The maximum powder content of this concrete, intended for building and commercial construction, is limited to 315 kg/m[superscript 3]. Nevertheless, designing Eco-SCC can be challenging since a delicate balance between different ingredients of this concrete is required to secure a satisfactory mixture. In this Ph.D. program, the principal objective is to develop a systematic design method to produce Eco-SCC. Since the particle lattice effect (PLE) is a key parameter to design stable Eco-SCC mixtures and is not well understood, in the first phase of this research, this phenomenon is studied. The focus in this phase is on the effect of particle-size distribution (PSD) on the PLE and stability of model mixtures as well as SCC. In the second phase, the design protocol is developed, and the properties of obtained Eco-SCC mixtures in both fresh and hardened states are evaluated. Since the assessment of robustness is crucial for successful production of concrete on large-scale, in the final phase of this work, the robustness of one the best-performing mixtures of Phase II is examined. It was found that increasing the volume fraction of a stable size-class results in an increase in the stability of that class, which in turn contributes to a higher PLE of the granular skeleton and better stability of the system. It was shown that a continuous PSD in which the volume fraction of each size class is larger than the consecutive coarser class can increase the PLE. Using such PSD was shown to allow for a substantial increase in the fluidity of SCC mixture without compromising the segregation resistance. An index to predict the segregation potential of a suspension of particles in a yield stress fluid was proposed. In the second phase of the dissertation, a five-step design method for Eco-SCC was established. The design protocol started with the determination of powder and water contents followed by the optimization of sand and coarse aggregate volume fractions according to an ideal PSD model (Funk and Dinger). The powder composition was optimized in the third step to minimize the water demand while securing adequate performance in the hardened state. The superplasticizer (SP) content of the mixtures was determined in next step. The last step dealt with the assessment of the global warming potential of the formulated Eco-SCC mixtures. The optimized Eco-SCC mixtures met all the requirements of self-consolidation in the fresh state. The 28-day compressive strength of such mixtures complied with the target range of 25 to 35 MPa. In addition, the mixtures showed sufficient performance in terms of drying shrinkage, electrical resistivity, and frost durability for the intended applications. The eco-performance of the developed mixtures was satisfactory as well. It was demonstrated in the last phase that the robustness of Eco-SCC is generally good with regards to water content variations and coarse aggregate characteristics alterations. Special attention must be paid to the dosage of SP during batching.