939 resultados para Imagens do Brasil


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Indicators and analyses that used the database from SB Brazil 2003 (the most recent nationwide oral health survey) have been criticized as unreliable due to sampling problems. The current study countered that this critique was based solely on statistical concepts, unsupported by empirical evidence. The critique's essentially epistemic approach leads to peremptory reductionism that denies other forms of knowledge and fails to recognize the multidisciplinary nature of epidemiology. The current study retrieves information on the implementation of the oral health survey and its impact on knowledge output in the field. The article draws an analogy between science and art, demonstrating the multifaceted images obtained by both. Thus, recognition of validity requires a full grasp of the field and appropriate use of value criteria. The current article concludes that use of the SB Brazil 2003 database is a reliable and relevant application of epidemiology to oral health.

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Indicators and analyses that used the database from SB Brazil 2003 (the most recent nationwide oral health survey) have been criticized as unreliable due to sampling problems. The current study countered that this critique was based solely on statistical concepts, unsupported by empirical evidence. The critique's essentially epistemic approach leads to peremptory reductionism that denies other forms of knowledge and fails to recognize the multidisciplinary nature of epidemiology. The current study retrieves information on the implementation of the oral health survey and its impact on knowledge output in the field. The article draws an analogy between science and art, demonstrating the multifaceted images obtained by both. Thus, recognition of validity requires a full grasp of the field and appropriate use of value criteria. The current article concludes that use of the SB Brazil 2003 database is a reliable and relevant application of epidemiology to oral health.

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Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.

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Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.

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The thesis presented is committed to a poetic reading that results in the creation of meaning and images of the death from the various cultural practices and symbolic representations exposed in urban cemeteries in some Brazilian cities, aiming to give visibility to new understandings about the imaginary of the in the contemporary scene. Death, therefore, will be seen as a imagining condition of anthroposwhen starts itself from the prerogative of the human consciousness of death (MORIN, 1970), in other words, this awareness that man has he will die and that triggers reflections about their existence allows the emergence of a number of practices such as: mourning, funeral rituals and the creation of several impregnated representations of human emotions emerged from the death facing the man and present, in a more evident form in cemeterial spaces. For this, it focuses on the conflictuous dimension that man establishes with death, because the cultural practices and symbolic representations observed in the research field are the result of this conflict and allow the expansion of the senses about this issue, to the extent that these are coated with a fantastic aura, mystical, secret, spooky, fearful, religious, building a complex imagination. The general plan of this study is to discuss and create, from a phenomenology of imagination and materials / dynamics imagination, as well as along the lines treated by Gaston Bachelard, images of death, from a field experience in cemeteries in Brazil. For this, it is assumed, to observe the cultural practices and symbolic representations in these spaces, a posture able to make the experience into the search field a moment of symbolic exchanges and creation. Thus, it was used observation, conversations with visitors and employees of the cemeteries and the capture of photographic records. The data produced as a fragment of a conversation, a tearful outburst about the loss of a relative, a melancholic epitaph, a flower on the grave or a cry captured by photography were seen as detonators of meanings and a poetic of the imagination.

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The thesis presented is committed to a poetic reading that results in the creation of meaning and images of the death from the various cultural practices and symbolic representations exposed in urban cemeteries in some Brazilian cities, aiming to give visibility to new understandings about the imaginary of the in the contemporary scene. Death, therefore, will be seen as a imagining condition of anthroposwhen starts itself from the prerogative of the human consciousness of death (MORIN, 1970), in other words, this awareness that man has he will die and that triggers reflections about their existence allows the emergence of a number of practices such as: mourning, funeral rituals and the creation of several impregnated representations of human emotions emerged from the death facing the man and present, in a more evident form in cemeterial spaces. For this, it focuses on the conflictuous dimension that man establishes with death, because the cultural practices and symbolic representations observed in the research field are the result of this conflict and allow the expansion of the senses about this issue, to the extent that these are coated with a fantastic aura, mystical, secret, spooky, fearful, religious, building a complex imagination. The general plan of this study is to discuss and create, from a phenomenology of imagination and materials / dynamics imagination, as well as along the lines treated by Gaston Bachelard, images of death, from a field experience in cemeteries in Brazil. For this, it is assumed, to observe the cultural practices and symbolic representations in these spaces, a posture able to make the experience into the search field a moment of symbolic exchanges and creation. Thus, it was used observation, conversations with visitors and employees of the cemeteries and the capture of photographic records. The data produced as a fragment of a conversation, a tearful outburst about the loss of a relative, a melancholic epitaph, a flower on the grave or a cry captured by photography were seen as detonators of meanings and a poetic of the imagination.

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Augusto Boal (Brasil) y Heiner Müller (Alemania) son dramaturgos del siglo XX que vivieron en países y contextos evidentemente distintos. Sin embargo, con la crisis del teatro burgués y de las condiciones de legitimidad del régimen de producción de este teatro, ambos presentan puntos de contacto en sus líneas y vectores teatrales que, frente a la universalidad cuestionable de la dramatización, llevan a la concepción de un teatro múltiple y perturbador del orden de lo sensible. Los procesos de escenificación contemporánea exige un adelantamiento del sentido político, desviando del juego de representaciones sociales, para dar lugar al trabajo deconstructor de imágenes como cisión entre la palabra y lo representado, entre lo legible y lo visible. Frente al expuesto, las escritas escénicas y, por eso, literarias de estos autores, sitios de singularización – no con ausencia de paradojas – capaces de movilizar manifestaciones e impases cuanto a las imágenes que ordenan o desordenan los textos dramáticos, traen para la contemporaneidad tensiones que llevan al teatro mismo, tanto a interpelarse como, en su fuerza plural, a encontrar pasajes para el nuevo. Llevar a la superficie aspectos políticos en las imágenes de los textos dramáticos, considerándolos en su inscripción literaria: “La misión: recuerdos de una revolución”, de Heiner Müller, y de “El hombre que era una fábrica”, de Augusto Boal, se hace un desafío, una vez que las imágenes pretendidas son aquellas con formas o materialidades todavía no visibles en la escena, podríamos decir, en estado virtual. Como imágenes pensantes, ellas suceden en el plan de inmanencia del lenguaje (Deleuze y Guattari). Siendo lo “político” una perturbación en lo sensible, contrario a la política (Rancière), la dramaturgia se abala en multiplicidades, desplazando y desnaturalizando las funciones de autor/dramaturgo y lector/actor, teatro/literatura. Dramaturgia simultánea, imagen, fragmento y colaje se muestran como procedimientos artísticos y literarios creativos que se encuentran apropiados sea en la teoría del teatro del oprimido (Boal), sea en el teatro pos-dramático (Hans-ThiesLehmann), a pesar de que, al confrontarlas, sobresalían en desentendimientos: la primera coincide con la lógica de la identidad y la segunda, esta se desarticula, movida por la diáfora, contestación, o desacuerdo. Tales relaciones – no apriorísticas – se suceden en cuanto acontecimiento de la lectura o de la literatura como acontecimiento en que lo político en las imágenes se da, antes, en las lagunas y obscuridades, aludiendo a lo que está más allá de lo sentido, de la escena del gesto y de la palabra. El lector no se para para atribuir sentido, se interroga frente a las metamorfosis y formas oblicuas de acontecimientos insospechables que componen lo político estableciendo la gestión colectiva de la enunciación. En este caso, el texto de Boal y el texto de Müller se inscriben en la producción de una literatura menor, o de un teatro menor, o que los califica como agentes de devenires revolucionarios, agitando, a través de la política en las imágenes, e irrumpiendo contra el problema del poder en las artes.

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The objective of this work is to use algorithms known as Boltzmann Machine to rebuild and classify patterns as images. This algorithm has a similar structure to that of an Artificial Neural Network but network nodes have stochastic and probabilistic decisions. This work presents the theoretical framework of the main Artificial Neural Networks, General Boltzmann Machine algorithm and a variation of this algorithm known as Restricted Boltzmann Machine. Computer simulations are performed comparing algorithms Artificial Neural Network Backpropagation with these algorithms Boltzmann General Machine and Machine Restricted Boltzmann. Through computer simulations are analyzed executions times of the different described algorithms and bit hit percentage of trained patterns that are later reconstructed. Finally, they used binary images with and without noise in training Restricted Boltzmann Machine algorithm, these images are reconstructed and classified according to the bit hit percentage in the reconstruction of the images. The Boltzmann machine algorithms were able to classify patterns trained and showed excellent results in the reconstruction of the standards code faster runtime and thus can be used in applications such as image recognition.

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Lung cancer is the most common of malignant tumors, with 1.59 million new cases worldwide in 2012. Early detection is the main factor to determine the survival of patients affected by this disease. Furthermore, the correct classification is important to define the most appropriate therapeutic approach as well as suggest the prognosis and the clinical disease evolution. Among the exams used to detect lung cancer, computed tomography have been the most indicated. However, CT images are naturally complex and even experts medical are subject to fault detection or classification. In order to assist the detection of malignant tumors, computer-aided diagnosis systems have been developed to aid reduce the amount of false positives biopsies. In this work it was developed an automatic classification system of pulmonary nodules on CT images by using Artificial Neural Networks. Morphological, texture and intensity attributes were extracted from lung nodules cut tomographic images using elliptical regions of interest that they were subsequently segmented by Otsu method. These features were selected through statistical tests that compare populations (T test of Student and U test of Mann-Whitney); from which it originated a ranking. The features after selected, were inserted in Artificial Neural Networks (backpropagation) to compose two types of classification; one to classify nodules in malignant and benign (network 1); and another to classify two types of malignancies (network 2); featuring a cascade classifier. The best networks were associated and its performance was measured by the area under the ROC curve, where the network 1 and network 2 achieved performance equal to 0.901 and 0.892 respectively.

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Nowadays, the amount of customers using sites for shopping is greatly increasing, mainly due to the easiness and rapidity of this way of consumption. The sites, differently from physical stores, can make anything available to customers. In this context, Recommender Systems (RS) have become indispensable to help consumers to find products that may possibly pleasant or be useful to them. These systems often use techniques of Collaborating Filtering (CF), whose main underlying idea is that products are recommended to a given user based on purchase information and evaluations of past, by a group of users similar to the user who is requesting recommendation. One of the main challenges faced by such a technique is the need of the user to provide some information about her preferences on products in order to get further recommendations from the system. When there are items that do not have ratings or that possess quite few ratings available, the recommender system performs poorly. This problem is known as new item cold-start. In this paper, we propose to investigate in what extent information on visual attention can help to produce more accurate recommendation models. We present a new CF strategy, called IKB-MS, that uses visual attention to characterize images and alleviate the new item cold-start problem. In order to validate this strategy, we created a clothing image database and we use three algorithms well known for the extraction of visual attention these images. An extensive set of experiments shows that our approach is efficient and outperforms state-of-the-art CF RS.

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We seek, through this work, to understand the construction of the pirates’ images from the Golden Age of Piracy (late seventeenth through early eighteenth century) through the observation of the circulation of these images, which are not limited to one field of knowledge. We take into account the importance of the book “A General History of the robberies and murders of the most notorious pirates...” written by Charles Johnson for these constructions, not only literary, but also historiographical provided that the stories of pirates and piracy gained ground in historiography from the twentieth century on. We also seek to show that this historiographical space arises opposed to an apparent historiographical silence about these stories that lasts for about two centuries, related to a new way of writing history in the aesthetic regime, where it arises as a science through a poetics of knowledge, of which the philosopher Jacques Rancière helps us reflect. Lastly, reflecting upon how these images of pirates circulate nowadays, we seek to understand the historicity of the pirates’ images within that aesthetic regime based on some scenes of the film series Pirates of the Caribbean by Disney™.

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NARVAI, Paulo Capel et al. Validade científi ca de conhecimento epidemiológico gerado com base no estudo Saúde Bucal Brasil 2003. Caderno de saúde pública, Rio de Janeiro, v. 26, n. 4, p. 647-670, abr. 2010.

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Neste estudo, visamos investigar a inovação pedagógica na formação dos alunos do Curso Técnico em Edificações do Instituto Federal de Educação, Ciência e Tecnologia - Campus Pesqueira – Pesqueira - Pernambuco – Brasil, tendo como objetivo analisar a formação técnica a partir da cultura visual e dos recursos midiáticos atrelados ao mundo concreto da docência escolar. Para tanto, realizamos uma pesquisa qualitativa de cunho etnográfico para capturar o fenômeno estudado, utilizando como instrumentos e técnicas a observação participante, diário de campo, entrevistas, fotografias, filmes e documentários. Dessa forma, coletamos e analisamos os achados, tendo como pano de fundo a cultura das imagens fincada no chão da sala de aula, numa prática pedagógica construcionista inovadora.

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NARVAI, Paulo Capel et al. Validade científi ca de conhecimento epidemiológico gerado com base no estudo Saúde Bucal Brasil 2003. Caderno de saúde pública, Rio de Janeiro, v. 26, n. 4, p. 647-670, abr. 2010.

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O crescimento da demanda energética, prevista para a metade do século XXI, com números embasados no crescimento demográfico e de consumo dos países em desenvol- vimento, sugere a busca por fontes energéticas renováveis e de menor impacto ao meio ambiente, conforme os tratados da política internacional. Portanto, o fornecimento de energia suplementar se torna vital nas sociedades modernas e sua extensão até o mar tem se constituído uma recente preocupação do ponto de vista enérgico e ecológico. Várias formas de conversão de energia foram desenvolvidas no decorrer dos anos, com destaque para a energia dos gradientes térmicos. A Plataforma Continental Sul do Bra- sil (PSCB) possui alta variabilidade espacial e temporal nos campos de temperatura, de forma que existe a necessidade de uma análise das regiões de maior potencial energético com respeito ao gradiente vertical de temperatura. Neste estudo, foram utilizados dados do modelo OCCAM com uma grade de resolu- ção horizontal de 0, 25o e resolução vertical de 66 níveis, distribuídos ao longo de um sistema de coordenadas vertical. Foram utilizadas imagens de temperatura superfícial do mar (TSM) obtidas a partir do sensor AVHRR (Advanced Very High Resolution Ra- diometer) de forma a realizar a validação dos dados do modelo OCCAM. A análise da média dos dados do modelo indicou um sítio energético de maior viabilidade devido oC ao padrão médio do gradiente térmico de aproximadamente 0, 17 ao longo da coluna vertical (545 m de profundidade) no oceano. Neste local, foram coletados os dados, e aplicados a um módulo de conversão de energia térmica dos oceanos que vem sendo desenvolvido na Universidade Federal do Rio Grande - FURG. A região de estudo de- monstrou possuir um local com ótimo potencial energético, onde a produção máxima de energia pode alcançar 111, 9MW , associada com um padrão variabilidade tempo- ral dominante de 12 meses. Este sítio energético demonstra maior eficiência durante o período de verão e outono ao longo dos anos e sua média para todo o período é de 94, 3MW . Neste estudo, duas correntes: Corrente do Brasil (CB) e a Contra Corrente Costeira (CCC), com águas de origem tropical e subantártica com aportes continentais, respecti- vamente, tem alta correlação com os valores dos gradientes térmicos e com os significa- tivos eventos de conversão energética. O sítio energético demonstrou alta estabilidade à sazonalidade e à gama de eventos meteorológicos e oceanográficos, de forma que pode ser qualificado como uma fonte suplementar a matriz energética do país para um futuro próximo.