1000 resultados para classificação de terras


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The internalization process of the Portuguese possession in Northern Captaincies - after the Dutch eviction and the development of activities related to livestock in the backlands (Sertão) – expanded the Portuguese territory in America. This process resulted in the advancement of Portuguese conquest over the region and conflicts involving agents of colonization and indigenous groups who inhabited that space, as well as conflicts of interest of captaincy’s major social groups and the defense policies of the Portuguese territory possession. Among the rivers which run through Rio Grande captaincy’s territory, the Açu was the one that aroused conquerors and colonizers of the back lands interest, making that spatiality an area where interest and power exercises converged and generated discord. This research aims to analyze the territorial process of Assu backlands, from the pioneers, conquerors and colonizers action over the space studied, during the event known as the War of the Barbarians in Assu, conflict that ensured the integration of the area the territory and the wishes of the Portuguese crown. Thus, it will be taken as objects of study social phenomena that characterized Assu’s riverside - at the turn of the 17th to the 18th century, in a cutout that extends from 1680 to 1720 - as an area of conflicts of interest, noticeable for analysis from period documents such as records of land grants concessions, correspondence between colonial and kingdom authorities, documents from the exercise of administration of Portuguese America and legislation.

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The internalization process of the Portuguese possession in Northern Captaincies - after the Dutch eviction and the development of activities related to livestock in the backlands (Sertão) – expanded the Portuguese territory in America. This process resulted in the advancement of Portuguese conquest over the region and conflicts involving agents of colonization and indigenous groups who inhabited that space, as well as conflicts of interest of captaincy’s major social groups and the defense policies of the Portuguese territory possession. Among the rivers which run through Rio Grande captaincy’s territory, the Açu was the one that aroused conquerors and colonizers of the back lands interest, making that spatiality an area where interest and power exercises converged and generated discord. This research aims to analyze the territorial process of Assu backlands, from the pioneers, conquerors and colonizers action over the space studied, during the event known as the War of the Barbarians in Assu, conflict that ensured the integration of the area the territory and the wishes of the Portuguese crown. Thus, it will be taken as objects of study social phenomena that characterized Assu’s riverside - at the turn of the 17th to the 18th century, in a cutout that extends from 1680 to 1720 - as an area of conflicts of interest, noticeable for analysis from period documents such as records of land grants concessions, correspondence between colonial and kingdom authorities, documents from the exercise of administration of Portuguese America and legislation.

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This work is to identify and classify extended techniques on acoustic bass. The main purpose of this classification is to provide the bass better understanding and practice these techniques. For this, we carried out a literature review, it was noted that, in academia, this topic is new and understanding for some musicians is still complex and nebulous. To assist in the difficulties of the bass player, the extended techniques were divided into two parts, proposing different approaches. The first part proposes the experimentation and exploration of conventional and unconventional techniques from other instruments on acoustic bass. The second seeks to identify and rank the extended techniques, showing excerpts from the solo instrument repertoire compositions. On each, there are still referenced authors and their contributions to the instrumental practice these techniques. In both categories of classification procedures were presented to be adopted by the bass player for the implementation of those techniques, as well as suggestions for their study. Among the main results, it was found that through the proposed classification of these techniques, one can incorporate new resources to technical universe and timbre of the instrument. Lastly, it was found a creation of a composition performed by interaction between composer and performer, containing new extended techniques or extended techniques not found in the instrument's contemporary soloist repertoire.

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This work is to identify and classify extended techniques on acoustic bass. The main purpose of this classification is to provide the bass better understanding and practice these techniques. For this, we carried out a literature review, it was noted that, in academia, this topic is new and understanding for some musicians is still complex and nebulous. To assist in the difficulties of the bass player, the extended techniques were divided into two parts, proposing different approaches. The first part proposes the experimentation and exploration of conventional and unconventional techniques from other instruments on acoustic bass. The second seeks to identify and rank the extended techniques, showing excerpts from the solo instrument repertoire compositions. On each, there are still referenced authors and their contributions to the instrumental practice these techniques. In both categories of classification procedures were presented to be adopted by the bass player for the implementation of those techniques, as well as suggestions for their study. Among the main results, it was found that through the proposed classification of these techniques, one can incorporate new resources to technical universe and timbre of the instrument. Lastly, it was found a creation of a composition performed by interaction between composer and performer, containing new extended techniques or extended techniques not found in the instrument's contemporary soloist repertoire.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq

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Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq

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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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A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.

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A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.

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Compararam-se o ganho médio diário (GMD), índice de conversão alimentar (IC) e classificação da carcaça (CC) entre dois tipos de cruzamento comercial (A e B), ambos obtidos pelo cruzamento terminal de varrascos Piétrain com porcas F1 Large White x Landrace. Procurou-se identificar os principais efeitos ambientais que influenciam os referidos carateres. Utilizou-se um total de 200 suínos (machos e fêmeas), de dois cruzamentos comerciais distintos, provenientes de duas unidades de multiplicação comerciais. Determinou-se o GMD e o IC em dois períodos diferentes (63-119 e 120-158 dias de vida). No final do ensaio, efetuou-se a CC, segundo o sistema SEUROP. Procedeu-se a uma análise de variância com o objetivo de identificar os principais efeitos ambientais que influenciam o GMD, IC e CC. Determinou-se o coeficiente de regressão do GMD no peso vivo no início da engorda. Globalmente, observou-se uma superioridade do cruzado B no que concerne ao GMD (+74,6 g) (p<0,01) e ao IC (-0,07) (p<0,05). O GMD dos animais registou um acréscimo médio de 5,8 g por kg de acréscimo do PV no início do ensaio. A superioridade do cruzado B foi ainda evidenciada na classificação de carcaça SEUROP, com um acréscimo significativo (p<0,01) de 2,3% em carne magra.

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Durante o período de funcionamento de uma instalação eléctrica podem ocorrer várias anomalias. Enquanto muitas delas apenas são identificadas tardiamente, outras acabam por nunca serem identificadas como um potencial problema. A identificação atempada dessas anomalias permite a realização de um diagnóstico que leve à correcção das suas causas evitando assim os desperdícios e prejuízos inerentes. A identificação de um consumo anómalo pode ser realizada, de forma automática ou semi automática através de sistemas de apoio que permitam sinalizar falhas ou comportamentos anormais. O trabalho apresentado nesta dissertação pretende possibilitar esta sinalização apenas através da análise dos dados de consumo medidos em tempo real e comparados com dados históricos através de uma abordagem baseada em classificação, recorrendo a métodos de clustering. Foram testadas diferentes abordagens em três casos distintos, dois relativos a consumidores residenciais para os quais existiam registos de consumo durante um período alargado, e um relativo a uma instalação desportiva, para a qual é possível aceder em tempo real ao sistema de gestão de consumos via web. O sistema implementado proporciona vários tipos de informação ao utilizador, permitindo visualizar graficamente a existência de uma potencial anomalia quando a disparidade entre a classificação do consumo no instante e a classe do consumo de referência for significativa.

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Introdução: A complexidade da utilização da CIF devido ao elevado número de categorias levou à necessidade de desenvolver Core Sets de forma a identificar e agrupar os principais problemas dos indivíduos para as diferentes condições de saúde. Contudo, mostra-se necessário comparar estes Core Sets iniciais com a perspetiva dos indivíduos em diferentes países, para uma melhor utilização deste instrumento na prática clínica. Objetivo: Identificar os principais problemas percecionados pelos indivíduos com AR em Portugal e verificar se estes se encontram contemplados nos comprehensive e brief Core Sets da CIF para a mesma condição. Metodologia: Esta investigação consiste num estudo qualitativo com uma amostra de conveniência com indivíduos com AR. Para a recolha de dados foram utilizadas entrevistas individuais gravadas sobre a forma de áudio, sendo o procedimento do estudo baseado no protocolo de Coenen M., (2008). Resultados: O estudo inclui 20 indivíduos com uma média de idade de 61,35 (±10,5) anos, sendo que 95% pertenciam ao género feminino e 5% ao género masculino. Das 99 categorias identificadas, 41 (42,71%) encontram-se presentes nas 96 categorias do comprehensive Core Sets da CIF e 31 (79,49%) nas 39 categorias dos brief Core Sets da CIF. Conclusões: O presente estudo conclui que embora os Core Sets da CIF para a AR sejam específicos para os indivíduos com esta condição, quando comparados com a população portuguesa, estes não apresentam vários problemas identificados por estes indivíduos. Para além disso, estes Core Sets da CIF contêm problemas que não foram relatados por esta população.

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Introdução: A CIF foi considerada, por alguns clínicos, como não sendo totalmente viável para a aplicação na rotina clínica, já que este sistema de classificação contém mais de 1400 categorias. Posto isto, o processo de desenvolvimento de Core Sets da CIF tem sido priorizado pela OMS, tornando a CIF acessível para a avaliação das cs específicas. Estes pretendem orientar uma avaliação multidisciplinar abrangente, incluindo as categorias da CIF para descrever, de uma forma suficiente, a funcionalidade e incapacidade dos indivíduos. Contudo, podem existir divergências entre a perspetiva de crianças e jovens portugueses com PC e cuidadores sobre a sua cs e os core sets da CIF estabelecidos para a mesma. Objetivo: Identificar os problemas percecionados pelas crianças e jovens com paralisia cerebral e pelos cuidadores em Portugal e analisar em que medida estes aspetos são representados pela versão atual do Comprehensive Core Set da CIF para esta cs. Metodologia: Este estudo é qualitativo, tendo-se utilizado uma amostra conveniente de crianças/jovens com PC e cuidadores. Todos os dados foram recolhidos por meio de entrevistas e posteriormente analisados segundo o protocolo de Coenen. Foi efetuado o linking dos conceitos obtidos das entrevistas para as categorias da CIF, tendo sido comparadas com os Core Sets da CIF para esta condição. Resultados: Este estudo tem uma amostra de 48 indivíduos, sendo que 28 eram crianças e jovens com PC e os restantes 20 eram cuidadores. A média de idades das crianças/jovens incluídos foi 13,04 (±3,26), sendo que a idade mínima incluída foi 8 anos e a idade máxima, 18 anos. A média de idades dos cuidadores incluídos foi de 35,20 (±8,01) anos, sendo que a idade mínima incluída foi 22 anos e a idade máxima 55 anos. Das 256 categorias identificadas, 101 estão contempladas nas categorias dos Comprehensive Core Set da CIF. Estas encontram-se presentes em 58 categorias de 2º nível dos Comprehensive Core Set de um total de 135, correspondendo a 43% dos mesmos. Conclusões: Tendo em conta os resultados obtidos, podemos concluir que os Comprehensive Core Set da CIF para a PC contemplam a grande maioria dos problemas percecionados pela população-alvo, ainda que integre várias categorias que não foram relevantes para esta população em estudo.

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Introdução: Os core sets são desenvolvidos com o objetivo de identificar e agrupar categorias da Classificação Internacional de Funcionalidade, Incapacidade e Saúde (CIF) e que caraterizam os principais problemas de funcionalidade dos indivíduos com uma condição clinica específica. Ao simplificar o número de categorias da CIF, facilita-se a sua aplicação na prática clínica. Objetivos: O comprehensive core set da CIF para a Diabetes Mellitus (DM) representa o conjunto típico de problemas de funcionalidade em utentes com DM. O objetivo deste estudo visa a exploração da validade do conteúdo deste core set e identificar os problemas mais comuns de utentes com DM a partir da perspetiva do fisioterapeuta através da utilização da CIF. Metodologia: Foi realizado um estudo qualitativo, com fisioterapeutas com experiência no tratamento de utentes com DM. Os dados foram recolhidos segundo o método de Delphi, através da realização de três questionários. As respostas foram analisadas por dois investigadores que procederam ao linking para as categorias da CIF. O grau de concordância foi efetuado utilizando a estatística de kappa. Resultados: Sete fisioterapeutas de 5 centros de saúde da região centro de Portugal foram questionados na primeira e segunda ronda; seis completaram a terceira ronda. Os fisioterapeutas chegaram ao consenso sobre o total de 26 categorias da CIF, sendo que 19 correspondem às categorias presentes no core set e 7 às não incluídas no core set da CIF para a DM. Seis componentes foram identificados como fatores pessoais. Conclusões: As categorias presentes no comprehensive core set da CIF para a DM pela perspetiva dos fisioterapeutas foram apoiadas. Contudo, algumas categorias adicionais foram propostas para inclusão no comprehensive core set da CIF para a DM.