8 resultados para Auto conhecimento


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Cet étude et thème de dissertation est devenue nécessaire a partir des inquiétudes d éducateur et des pratiques pédagogiques développées aux classes d éducation physique au tour nocturne à l École Municipale Prof. Veríssimo de Melo, dont les élèves sont des jeunes et adultes que habitent au quartier Felipe Camarão. Ces jeunes cohabitent avec le stigmate de la violence que est toujours présente dans cette communauté, située a la région ouest de Natal. On peut trouvé parmi les élèves y matriculés des trajectoires de vie interrompues par facteurs de risque comme criminalité, des adolescentes enceintes et drogues. Ces faits interférent directement avec les procès d intégration sociale et augmentent la violence, reproduisant les cycles de pauvreté et ainsi, limitant les possibilités d ascension sociale. Les résultats des procédées pédagogiques utilisées pendant les classes ont montré la nécessité d approfondir cet étude problématisant cette réalité et, incitant par les pratiques corporelles et discussion, la réflexion sur des thèmes comme facteurs de risque, temporalité, projets de vie et auto-connaissance. En profitant de l intérêt de ces jeunes pour la langage cinématographique comme une façon de mettre en ouvre ces réflexions et rapportant leur connaissance formel avec le savoir et expériences du groupe on a décidé de produire un film court de 15 minutes sur le quartier, idéalisé et produit collectivement. Pour ça, ont a réalisé 10 classes-ateliers avec les élèves qui ont été connus comme « le groupe du cinéma ». Les ateliers pédagogiques qui sont ici, au même temps, référence de recherche et procédée pédagogique, réaffirment la notion de résilience: la capacité de l individu de transformer un obstacle, une adversité ou même une tragédie personnel dans une situation positive ou comme un renfort de ce que nous avons de meilleur. Dans ce sens, cet étude peut aider les professeurs de toutes les matières, que travaillent a l école publique et que se trouvent dans ce contexte, considéré vulnérable, surtout le professeur d éducation physique. Ce travail peut aussi devenir une référence pour aborder des concepts et valeurs que nos aideront à renouveler cette vision de monde étroite et déterministe, responsable pour la reproduction des cycles de pauvreté et violence. Cet étude a été fondée sur des auteurs comme Edgar Morin, Bóris Cyrulnik et Conceição Almeida parmi d autres

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The contemporary conjuncture based on the capitalistic knowledge converges to the corporal consciousness that makes us see, feel, taste and hear, be in/to pieces. Disembodied reason legitimate and legislate ways of being and living socially and its development is the dehumanization of human relations causing pain and suffering. The objective of this work is to discuss the body as pedagogical matrix through imagistic/artistic elements: music, painting and literature. Metaphors lead to self knowledge of human subjectivity and approach us to the kaleidoscope of sensitive knowledge and enables learning to learn with the infinite combinations of images, knowledge, feelings and worldviews. The song Memória da Pele comes in the voice of Maria Betânia speak of the memories that are not mine, but are tattooed in me in the memory of skin, singing the memories of a love lived by who tries to forget rationally, but the body insists on remembering. It is password to think about what we are. The short story by Clarice Lispector, entitled Miss Algarve, narrates the life story of an unmarried and virgin woman, and her encounter with an alien called Ixtlan. Until then, she who lived as if every day were a Monday, found herself seduced by the pleasure of having a body in contact with another body, which also allowed her to give visibility to the bodies of others. She had repudiation by the immorality that her body and the other s perspired. The discovery of the body brings important lessons for nursing, involving our body and the others'. The painting the flying bed or Henry Ford Hospital, by Frida Kahlo, is our final metaphor. The traumatic experience of abortion is shown in this painting trough the picture of the artist naked in a hospital bed. This painting invites us to reflect on our work process. We need to think in multiple dimensions of the being and accept the invitation of art, so that the lightness confronts us with the weight imposed by the hegemonic ideology. I believe it is not a single view, but the many views that should justify the knowledge and practices of nursing; what matters is that they are woven into the dialogue, democracy, provided that protagonism of those individuals involved in this process, in the wandering and uncertainty, in the rewiring, solidarity, plurality. To this end, the body must be the great pedagogue that is able to be viewed not as a tapestry seen by the right view, as the logical knowledge sees, but seen by the opposite side in its singular, irregular, discontinuous weavings

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Aristotle's definition of tragedy indicates a metaphysical project insinuated by a notion of kátharsis. The reconstruction of Aristotle's method of definition is inspired in the concepts of enérgeia and dýnamis taken from Physics, understanding cause as substance. The Doctrine of the Four Causes is the theoretical basis of the definition of tragedy, placing tragedy in the genre of imitation and distinguishing its species: language (material cause), noble and complete action (formal cause), actors (efficient cause) and kátharsis (temporarily identified with the final cause). Nevertheless, there is no final cause in the definition of tragedy. The kátharsis of passions is experienced by the spectator when he witnesses tragedy, which is the imitation of a noble action, executed by actors and not narrated. Aristotle justifies hid proposition in favor of mimesis by assuming that imitation is natural to man since infancy and the view of objects allows whoever contemplates them to identify and learn the originals. As a metaphysical principle, kátharsis is projected to beyond definition of tragedy, where it is manifested cathartically, in the spectator. Research about the spectator brings one back to the definition of tragedy, where the imitation is an imperfect copy which evokes in the spectator the presence of the originals of the imitated sentiments, thus realizing the kátharsis of these emotions. In this way kátharsis reveals itself as selfknowledge and approach of divine truth and perfections.

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Les récits sur les expériences de vie se constituent en apprentissages signifiants dans le processus d´ auto-formation des éducateurs. La formation est un phenomène qui extrapôle l ambiance scolaire, incluant les expériences qui servent de matrice pour la construction de la connaissance au long de la vie. Dans cette perspective, «la connaissance de soi», telle quelle proposée par SOUZA, NOVOA et JOSSO, est la notion centrale au tour de laquelle se développe cette dissertation. La recherche a comme idée principale transposer pour la realité des professeurs l´exercice reflexif de son enseignement, médiant la redécouverte de ses expériences de vie, a travers des histoires de soi que, potentialisés, peuvent transformer ses pratiques dans la classe scolaire. Je prends comme point de départ mes propres expériences comme éducatrice assumant la conviction de la indissociation entre sujet et objet de la connaissance, comme propose Édgar Morin pour parler de la science de la complexité. Je fais aussi l´usage des récits de six professeurs du réseau publique de l enseigment, révélateurs de la construction de la connaissance appuyée dans la cohérence de la praxis pédagogique avec son mode de comprendre et sentir le monde. Les oeuvres «Mes Démons» d Édgar Morin, «O Tempo e Eu» de Luis da Câmara Cascudo et «O Banquete dos Deuses» de Daniel Munduruku, ont élargit le champs des récits d expériences que se constituent en matrices des processus de formation. Le travail avec les récits de formation démontrent qu´à partir de la réflection du sujet sur sa propre expérience, il est possible de se projéter des nouvelles configurations de la connaissance tenant comme base, la reliaison entre vie, idées, et pratiques pédagogiques. À partir de la métaphore du bûcher il est possible de se comprendre la force de combustion des expériences de vie dans la formation des enseignants

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This work presents a set of intelligent algorithms with the purpose of correcting calibration errors in sensors and reducting the periodicity of their calibrations. Such algorithms were designed using Artificial Neural Networks due to its great capacity of learning, adaptation and function approximation. Two approaches willbe shown, the firstone uses Multilayer Perceptron Networks to approximate the many shapes of the calibration curve of a sensor which discalibrates in different time points. This approach requires the knowledge of the sensor s functioning time, but this information is not always available. To overcome this need, another approach using Recurrent Neural Networks was proposed. The Recurrent Neural Networks have a great capacity of learning the dynamics of a system to which it was trained, so they can learn the dynamics of a sensor s discalibration. Knowingthe sensor s functioning time or its discalibration dynamics, it is possible to determine how much a sensor is discalibrated and correct its measured value, providing then, a more exact measurement. The algorithms proposed in this work can be implemented in a Foundation Fieldbus industrial network environment, which has a good capacity of device programming through its function blocks, making it possible to have them applied to the measurement process

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This paper presents an evaluative study about the effects of using a machine learning technique on the main features of a self-organizing and multiobjective genetic algorithm (GA). A typical GA can be seen as a search technique which is usually applied in problems involving no polynomial complexity. Originally, these algorithms were designed to create methods that seek acceptable solutions to problems where the global optimum is inaccessible or difficult to obtain. At first, the GAs considered only one evaluation function and a single objective optimization. Today, however, implementations that consider several optimization objectives simultaneously (multiobjective algorithms) are common, besides allowing the change of many components of the algorithm dynamically (self-organizing algorithms). At the same time, they are also common combinations of GAs with machine learning techniques to improve some of its characteristics of performance and use. In this work, a GA with a machine learning technique was analyzed and applied in a antenna design. We used a variant of bicubic interpolation technique, called 2D Spline, as machine learning technique to estimate the behavior of a dynamic fitness function, based on the knowledge obtained from a set of laboratory experiments. This fitness function is also called evaluation function and, it is responsible for determining the fitness degree of a candidate solution (individual), in relation to others in the same population. The algorithm can be applied in many areas, including in the field of telecommunications, as projects of antennas and frequency selective surfaces. In this particular work, the presented algorithm was developed to optimize the design of a microstrip antenna, usually used in wireless communication systems for application in Ultra-Wideband (UWB). The algorithm allowed the optimization of two variables of geometry antenna - the length (Ls) and width (Ws) a slit in the ground plane with respect to three objectives: radiated signal bandwidth, return loss and central frequency deviation. These two dimensions (Ws and Ls) are used as variables in three different interpolation functions, one Spline for each optimization objective, to compose a multiobjective and aggregate fitness function. The final result proposed by the algorithm was compared with the simulation program result and the measured result of a physical prototype of the antenna built in the laboratory. In the present study, the algorithm was analyzed with respect to their success degree in relation to four important characteristics of a self-organizing multiobjective GA: performance, flexibility, scalability and accuracy. At the end of the study, it was observed a time increase in algorithm execution in comparison to a common GA, due to the time required for the machine learning process. On the plus side, we notice a sensitive gain with respect to flexibility and accuracy of results, and a prosperous path that indicates directions to the algorithm to allow the optimization problems with "η" variables

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The human being has a fundamental role in issues concerning scarcity of energy resources as well as in the success of technologies which favor the use of renewable sources, such as wind energy. But what does wind energy mean for people? What are the psychological meanings concerning this term? Aiming to answer these questions, the general objective of this dissertation was to identify and to analyze the knowledge about wind energy taking into account a network of psychological meanings. One hundred and ninety one (191) university students from Natal-RN participated in the study, being male the majority (53%); aged between 17 and 51 years old (M=23.3 years; SD=5.7). Participants responded to self reports using the Natural Semantic Networks (NSW) technique, as well as to several sociodemographic questions. The results showed a consistent, positive and useful general semantic network. In this semantic network, knowledge about wind energy was represented by words that correspond to the appeal of (pro) environmental stance (e.g., clean and nature), that evinced both the technological aspect (e.g., force) and the economic aspect (e.g., economy). Results from different groups were also analyzed. The first set of groups (non-environemental and environmental) was divided considering the course (e.g., ecology and economy). The second set of groups(non-caretaker and caretaker) was divided based on the practice of environmental care expressed. Subtle differences were observed in the semantic networks of caretakers, who emphasized environment, an attribute not mentioned by non-caretakes. This indicates a construction of knowledge that is influenced by the presence or absence of the environmental commitment. Such findings may be useful in the construction of instruments for surveys and in the development of public and educational policies. Additionally, they may assist the media towards a more objective performance concerning wind energy

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Recent studies have shown evidence of log-periodic behavior in non-hierarchical systems. An interesting fact is the emergence of such properties on rupture and breakdown of complex materials and financial failures. These may be examples of systems with self-organized criticality (SOC). In this work we study the detection of discrete scale invariance or log-periodicity. Theoretically showing the effectiveness of methods based on the Fourier Transform of the log-periodicity detection not only with prior knowledge of the critical point before this point as well. Specifically, we studied the Brazilian financial market with the objective of detecting discrete scale invariance in Bovespa (Bolsa de Valores de S˜ao Paulo) index. Some historical series were selected periods in 1999, 2001 and 2008. We report evidence for the detection of possible log-periodicity before breakage, shown its applicability to the study of systems with discrete scale invariance likely in the case of financial crashes, it shows an additional evidence of the possibility of forecasting breakage