1000 resultados para Genre, médias, héroïsme, image


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O estudo dos Sistemas de Informação é particularmente apropriado numa altura em que se assiste a uma “explosão da informação” e da competitividade empresarial. A entrada dos Sistemas de Informação em áreas de negócio para os quais anteriormente não se vislumbrava uma aplicação útil, como o sector Vitivinícola, provou em diversos países ser uma ferramenta essencial para o aumento de produtividade e qualidade dos produtos. O alinhamento do negócio com os Sistemas de Informação, tem sido encarado como um motivo de preocupação pelas organizações, principalmente pelos gestores que reconhecem a importância e benefícios que este alinhamento traz às organizações. Os Sistemas de informação devem ser encarados como sendo a combinação de procedimentos, informação, pessoas e tecnologias organizadas de forma a se poderem concretizar os objetivos de negócio. A presente dissertação tem como objetivo principal discutir o contributo estratégico das Tecnologias e Sistemas de Informação num sector tradicional em Portugal, o sector Vitivinícola. Nesta dissertação apresentam-se os resultados obtidos num estudo sobre o nível de alinhamento dos sistemas de informação com o negócio. Este estudo incidiu sobre as pequenas e médias empresas portuguesas do setor Vitivinícola. Usando como base o modelo de Maturidade de Alinhamento Estratégico desenvolvido por Jerry Luftman, aos resultados obtidos foram avaliados os seis critérios que fazem parte do modelo: Comunicação, Competência/Mensuração do valor, Governança, Parceria, Âmbito e Arquitetura e Competências. Algumas organizações estudadas encontram-se a dar os primeiros passos com o objetivo de alcançar o alinhamento estratégico entre os sistemas de informação e o negócio. No entanto, de haver o reconhecimento das necessidades de alinhamento e da mais-valia que o mesmo possa trazer às organizações, este é ainda deficitário e encontra-se ainda numa fase muito inicial. A maioria das organizações estudadas encara ainda os sistemas de informação como uma despesa e não como uma ferramenta que permitirá um aumento da competitividade e valor da empresa. Espera-se que este paradigma se altere nos próximos anos com a admissão de profissionais com maior formação para os lugares de gestão operacional.

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Les yeux et les masques sont prévalents dans les oeuvres du peintre chinois contemporain Zeng Fanzhi (né en 1964), comme métaphore du jeu de pouvoir qui oppose les individus à l’appareil social et politique. Son oeuvre La Cène, d’après Leonard de Vinci, est un exemple frappant de cette préoccupation. Cet essai examine l’utilisation par l’artiste de cette représentation occidentale d’une crise morale (une trahison qui mène à la mort du Christ) pour exprimer la dystopie qui marque la Chine contemporaine. L’interprétation par Zeng de l’oeuvre de Vinci témoigne d’une compréhension profonde de sa signification à la Renaissance comme conflit entre le pouvoir terrestre et spirituel, auquel il surimpose la fonction du banquet dans la culture chinoise comme lieu de lutte politique. Un nihilisme détaché imprègne ce travail, à l’instar de l’interprétation métaphorique du banquet de Platon par Søren Kierkegaard, In Vino Veritas.

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Hand gesture recognition for human computer interaction, being a natural way of human computer interaction, is an area of active research in computer vision and machine learning. This is an area with many different possible applications, giving users a simpler and more natural way to communicate with robots/systems interfaces, without the need for extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them to convey information or for device control. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. In this study we try to identify hand features that, isolated, respond better in various situations in human-computer interaction. The extracted features are used to train a set of classifiers with the help of RapidMiner in order to find the best learner. A dataset with our own gesture vocabulary consisted of 10 gestures, recorded from 20 users was created for later processing. Experimental results show that the radial signature and the centroid distance are the features that when used separately obtain better results, with an accuracy of 91% and 90,1% respectively obtained with a Neural Network classifier. These to methods have also the advantage of being simple in terms of computational complexity, which make them good candidates for real-time hand gesture recognition.

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Yarrowia lipolytica, a yeast strain with a huge biotechnological potential, capable to produce metabolites such as γ-decalactone, citric acid, intracellular lipids and enzymes, possesses the ability to change its morphology in response to environmental conditions. In the present study, a quantitative image analysis (QIA) procedure was developed for the identification and quantification of Y. lipolytica W29 and MTLY40-2P strains dimorphic growth, cultivated in batch cultures on hydrophilic (glucose and N-acetylglucosamine (GlcNAc) and hydrophobic (olive oil and castor oil) media. The morphological characterization of yeast cells by QIA techniques revealed that hydrophobic carbon sources, namely castor oil, should be preferred for both strains growth in the yeast single cell morphotype. On the other hand, hydrophilic sugars, namely glucose and GlcNAc caused a dimorphic transition growth towards the hyphae morphotype. Experiments for γ-decalactone production with MTLY40-2P strain in two distinct morphotypes (yeast single cells and hyphae cells) were also performed. The obtained results showed the adequacy of the proposed morphology monitoring tool in relation to each morphotype on the aroma production ability. The present work allowed establishing that QIA techniques can be a valuable tool for the identification of the best culture conditions for industrial processes implementation.

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Many texture measures have been developed and used for improving land-cover classification accuracy, but rarely has research examined the role of textures in improving the performance of aboveground biomass estimations. The relationship between texture and biomass is poorly understood. This paper used Landsat Thematic Mapper (TM) data to explore relationships between TM image textures and aboveground biomass in Rondônia, Brazilian Amazon. Eight grey level co-occurrence matrix (GLCM) based texture measures (i.e., mean, variance, homogeneity, contrast, dissimilarity, entropy, second moment, and correlation), associated with seven different window sizes (5x5, 7x7, 9x9, 11x11, 15x15, 19x19, and 25x25), and five TM bands (TM 2, 3, 4, 5, and 7) were analyzed. Pearson's correlation coefficient was used to analyze texture and biomass relationships. This research indicates that most textures are weakly correlated with successional vegetation biomass, but some textures are significantly correlated with mature forest biomass. In contrast, TM spectral signatures are significantly correlated with successional vegetation biomass, but weakly correlated with mature forest biomass. Our findings imply that textures may be critical in improving mature forest biomass estimation, but relatively less important for successional vegetation biomass estimation.

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Tese de Doutoramento em Ciências da Literatura - Especialidade em Teoria da Literatura

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Tese de Doutoramento em Arquitectura / Cultura Arquitectónica.

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Este projeto propõe um aprofundamento cientifico sobre a temática da infância buscando uma discussão que entrelaça as noções de cultura lúdica e mídias no campo da Educação Física. A ênfase recai em analisar o processo de produção das brincadeiras das crianças a partir de uma perspectiva que se desenvolve em interface com a cultura midiática, em que objetivo principal é conhecer as representações e as práticas motoras das crianças que acontecem na escola a partir das interações estabelecidas com as personagens da mídia. Trata-se de uma pesquisa de abordagem qualitativa, a desenvolver-se com uma turma de crianças, entre 4 e 5 anos, da Educação Infantil, no Brasil. A pesquisa possui um delineamento de cunho etnográfica em razão das circunstancias que os objetivos exigem. A proposta metodológica, com caráter de intervenção e observação participante, terá como principais recursos oficinas desenvolvidas com as crianças, entrevistas e registros por meio de diário de campo. Pretende-se com esta investigação, contribuir com as pesquisas no campo das ciências humanas e sociais, no sentido de compreender as transformações que ocorrem nas experiências lúdicas infantis, sobretudo as identidades motoras, que as crianças constroem em meio às referencias simbólicas que circulam na cultura midiática.

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Dissertação de mestrado em Engenharia Industrial

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Given the limitations of different types of remote sensing images, automated land-cover classifications of the Amazon várzea may yield poor accuracy indexes. One way to improve accuracy is through the combination of images from different sensors, by either image fusion or multi-sensor classifications. Therefore, the objective of this study was to determine which classification method is more efficient in improving land cover classification accuracies for the Amazon várzea and similar wetland environments - (a) synthetically fused optical and SAR images or (b) multi-sensor classification of paired SAR and optical images. Land cover classifications based on images from a single sensor (Landsat TM or Radarsat-2) are compared with multi-sensor and image fusion classifications. Object-based image analyses (OBIA) and the J.48 data-mining algorithm were used for automated classification, and classification accuracies were assessed using the kappa index of agreement and the recently proposed allocation and quantity disagreement measures. Overall, optical-based classifications had better accuracy than SAR-based classifications. Once both datasets were combined using the multi-sensor approach, there was a 2% decrease in allocation disagreement, as the method was able to overcome part of the limitations present in both images. Accuracy decreased when image fusion methods were used, however. We therefore concluded that the multi-sensor classification method is more appropriate for classifying land cover in the Amazon várzea.

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OBJECTIVE: To characterize eating habits and possible risk factors associated with eating disorders among psychology students, a segment at risk for eating disorders. METHOD: This is a cross-sectional study. The questionnaires Bulimic Investigatory Test Edinburgh (BITE), Eating Attitudes Test (EAT-26), Body Shape Questionnaire (BSQ) and a variety that considers related issues were applied. Statistical Package for the Social Sciences (SPSS) 11.0 was utilized in analysis. The study population was composed of 175 female students, with a mean age of 21.2 (DP ± 3.6 years). RESULTS: A positive result was detected on the EAT-26 for 6.9% of the cases (CI95%: 3.6-11.7%). The prevalence of increased symptoms and intense gravity, according to the BITE questionnaire was 5% (CI95%: 2.4-9.5%) and 2.5% (CI95%: 0.7-6.3%), respectively. According to the findings, 26.29% of the students presented abnormal eating behavior. The population with moderate/severe BSQ scores presented dissatisfaction with corporal weight. CONCLUSION: The results indicate that attention must be given to eating behavior risks within this group. A differentiated gaze is justified with respect to these future professionals, whose practice is jeopardized in cases in which they are themselves the bearers of installed symptoms or precursory behavior.

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Tese de Doutoramento em Ciências Empresariais

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Objective: To evaluate body image dissatisfaction and its relationship with physical activity and body mass index in a Brazilian sample of adolescents. Methods: A total of 275 adolescents (139 boys and 136 girls) between the ages of 14 and 18 years completed measures of body image dissatisfaction through the Contour Drawing Scale and current physical activity by the International Physical Activity Questionnaire. Weight and height were also measured for subsequent calculation of body mass index. Results: Boys and girls differed significantly regarding body image dissatisfaction, with girls reporting higher levels of dissatisfaction. Underweight and eutrophic boys preferred to be heavier, while those overweight preferred be thinner and, in contrast, girls desired to be thinner even when they are of normal weight. Conclusion: Body image dissatisfaction was strictly related to body mass index, but not to physical activity.

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(Excerto) Partant d'une perspective comparative de plusieurs recherches realisees en ltalie au cours des demieres annees sur les mineurs et Ia television, Elisa Manna, de Ia Fondation Censis souligne le besoin pour Ia recherche de rompre avec les hyperspecialisations academiques. Elle propose des pistes de comparaisons et de confrontations de methodes, de techniques et de resultats, sans jamais perdre de vue les recherches empiriques sur le terrain. II est impensable aujourd'hui, souligne Elisa Manna, de continuer a separer, d'un cote le monde institutionnel de Ia culture qui, prive des outils de connaissance necessaires, serait oblige d'agir a l'aveuglette, et d'autre part celui de Ia recherche academique et privee, fragmentee, divisee et frustree par l'impossibilite de faire valoir ses efforts d 'un point de vue operationnel.