962 resultados para Aurora Fornoni Bernardini


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This thesis proposes an architecture of a new multiagent system framework for hybridization of metaheuristics inspired on the general Particle Swarm Optimization framework (PSO). The main contribution is to propose an effective approach to solve hard combinatory optimization problems. The choice of PSO as inspiration was given because it is inherently multiagent, allowing explore the features of multiagent systems, such as learning and cooperation techniques. In the proposed architecture, particles are autonomous agents with memory and methods for learning and making decisions, using search strategies to move in the solution space. The concepts of position and velocity originally defined in PSO are redefined for this approach. The proposed architecture was applied to the Traveling Salesman Problem and to the Quadratic Assignment Problem, and computational experiments were performed for testing its effectiveness. The experimental results were promising, with satisfactory performance, whereas the potential of the proposed architecture has not been fully explored. For further researches, the proposed approach will be also applied to multiobjective combinatorial optimization problems, which are closer to real-world problems. In the context of applied research, we intend to work with both students at the undergraduate level and a technical level in the implementation of the proposed architecture in real-world problems

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The concept of information is analyzed starting from Adams' hypothesis in The Informational Turn in Philosophy, according to which there has been a far-reaching turn in Philosophy following the publication of Turing's article "Computing Machinery and Intelligence". Adams maintains that new guidelines are being indicated in philosophical research, having the concept of "information" as the basis for treatment of classical problems, such as the relationships between mind-body, perception-action, and the nature of knowledge, amongst others. Partially agreeing with Adams, we believe, however, that his hypothesis faces difficulties, the most fundamental of which concerns the different meanings given to the concept of information. We argue that even though the concept of information underlying the mechanicist proposal of Turing, according to which "to think is to compute", is indeed being employed in Philosophy, this is not because of its mechanistic nature, but mainly due to the representationist presupposition dominant in this area. From this point of view, the informational turn in philosophy would not provide any great novelty, given that since the earliest days philosophical approaches to the nature of mind have always been mainly representationist. The novelty would not lie specifically in the Turing thesis, but in reflections on the nature of information, especially ecological information, and its relation to action.

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The text is divided in two phases. In the first phase, consisting of three parts, the main concepts of Kant's Doctrine of Right are considered in a comprehensive approach related to: the issue of the relations between natural right and positive right, problem closely connected to that of the relations between natural state and civil state, private right and public right; to the doctrine of property and its connection with political right. on treating the right in its several types, we intend to appoint the practical reasoning as a background of the Doctrine. In the second phase, concerning its last section, the consideration on the presence of the practical reasoning into the right is placed before some specificities of Kant's phylosophy of history, with the intent of establishing the possible relation between Rechtslehre and that philosophy.

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This work performs an algorithmic study of optimization of a conformal radiotherapy plan treatment. Initially we show: an overview about cancer, radiotherapy and the physics of interaction of ionizing radiation with matery. A proposal for optimization of a plan of treatment in radiotherapy is developed in a systematic way. We show the paradigm of multicriteria problem, the concept of Pareto optimum and Pareto dominance. A generic optimization model for radioterapic treatment is proposed. We construct the input of the model, estimate the dose given by the radiation using the dose matrix, and show the objective function for the model. The complexity of optimization models in radiotherapy treatment is typically NP which justifyis the use of heuristic methods. We propose three distinct methods: MOGA, MOSA e MOTS. The project of these three metaheuristic procedures is shown. For each procedures follows: a brief motivation, the algorithm itself and the method for tuning its parameters. The three method are applied to a concrete case and we confront their performances. Finally it is analyzed for each method: the quality of the Pareto sets, some solutions and the respective Pareto curves

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The techniques of Machine Learning are applied in classification tasks to acquire knowledge through a set of data or information. Some learning methods proposed in literature are methods based on semissupervised learning; this is represented by small percentage of labeled data (supervised learning) combined with a quantity of label and non-labeled examples (unsupervised learning) during the training phase, which reduces, therefore, the need for a large quantity of labeled instances when only small dataset of labeled instances is available for training. A commom problem in semi-supervised learning is as random selection of instances, since most of paper use a random selection technique which can cause a negative impact. Much of machine learning methods treat single-label problems, in other words, problems where a given set of data are associated with a single class; however, through the requirement existent to classify data in a lot of domain, or more than one class, this classification as called multi-label classification. This work presents an experimental analysis of the results obtained using semissupervised learning in troubles of multi-label classification using reliability parameter as an aid in the classification data. Thus, the use of techniques of semissupervised learning and besides methods of multi-label classification, were essential to show the results

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The objective of this trial was to study the ensilage potential of alfalfa (Medicago sativa L,.). The material used in the evaluation was harvested from an experiment in a complete randomized blocks design with three replicates, with seventeen alfalfa cultivars, Criouil, Florida 77, P555, P581, Moapa, Gilboa, 34 Linea, C/W 8754, C/W 4468, C/W 86, C/W 8746, Hunter Field, Trifecta, Sequel, CUF 101, Aurora e Siriver, during three years. The harvest used for the determinations was collected at 30(th) day of plants development and the material was submitted to two treatments: no wilting - Fresh alfalfa frozen immediately after harvest; wilting fresh alfalfa exposed to sun by three hours to get 35% DM. The dry matter content (DM), water soluble carbohydrates (WSC) and buffer capacity (BC) were evaluated in rhp forages Wilting increased the dry matter content (39,98%), however there were not differences among cultivars. The same occurred for the WSC content, with interaction among cultivars and treatments. The alfalfa cultivars, when submitted to effective wilting practice, presented appropriated characteristics of dry matter and water-soluble carbohydrates for ensilage. Wilting had no effect on alfalfa buffer capacity.

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The objective of this research was to evaluate dry matter production (DMP), seasonal distribution (SD) and chemical composition of crude protein (CP), neutral detergent fiber (NDF) and acid detergent fiber (ADF) of seventeen alfalfa cultivates: Creole, Florida 77, P555, P581, Moapa, Gilboa, 34 Linea, C/W 8754, C/W 4468, C/W 86, C/W 8746, Hunter Field, Trifecta, Sequel, CUF 101, Aurora e Siriver. A complete randomized blocks experimental design, with three replicates in a split plot on time scheme, was used. For DMP and SD, the cultivates were in the main plot and cuts in the subplots. For chemical composition, cultivates were also the main plots, and seasons of the year, summer and winter, the subplots. There were no differences among cultivates for the annual average dry matter production (12,08 t/[ha.year]) and SD (35% in the winter). There were differences in the chemical composition, among cultivates for CP and significant interaction among cultivates and the seasons of year for NDF and ADF. All cultivates showed similar potential production and seasonal distribution of dry matter. The alfalfa quality in the winter was better than in the summer.

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O objetivo do estudo foi avaliar in vitro o efeito da nicotina sobre a viabilidade e a morfologia celular utilizando-se uma linhagem contínua de fibroblastos. Para tal, foram formados dois grupos experimentais segundo a dose (0 - controle, 10 mig, 100 mig, 0,5 mg, 1 mg) e o tempo de condicionamento (1 e 24 horas). Cada um dos 12 orifícios de uma placa para cultura celular recebeu 2 ml de meio de Eagle, e 1 ml de suspensão de meio de cultura contendo aproximadamente 1 × 10(5) células/ml. Foi, então, acrescentada a solução de nicotina nas diferentes concentrações. Após o condicionamento com a droga, nos dois períodos testados, as células foram coradas com azul de trypan 0,4%, e observadas em microscópio invertido por um examinador cego para os grupos experimentais, que avaliou a viabilidade e a morfologia segundo o índice de Gamal. Os experimentos foram repetidos 5 vezes. Quanto à morfologia, os resultados obtidos demonstraram, no grupo condicionado por 1 h, que os controles apresentaram diferenças estatisticamente significantes em relação apenas à maior dose de nicotina; no entanto, foram encontradas diferenças estatisticamente significantes entre o controle e todas as concentrações após 24 horas de condicionamento. Na viabilidade celular, um maior número de células não viáveis foi observado nas diferentes concentrações de nicotina em comparação aos controles tanto após 1 quanto 24 horas de condicionamento (p < 0,05). em ambos períodos existiu uma tendência significativa de aumento do número de células não viáveis com o aumento da dose de nicotina (p = 0,0053; p = 0,00001 após 1 e 24 h respectivamente). Portanto, conclui-se que a nicotina pode alterar, in vitro, a viabilidade e a morfologia de fibroblastos de forma proporcional à dose e ao tempo de exposição.

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We work on some general extensions of the formalism for theories which preserve the relativity of inertial frames with a nonlinear action of the Lorentz transformations on momentum space. Relativistic particle models invariant under the corresponding deformed symmetries are presented with particular emphasis on deformed dilatation transformations. The algebraic transformations relating the deformed symmetries with the usual (undeformed) ones are provided in order to preserve the Lorentz algebra. Two distinct cases are considered: a deformed dilatation transformation with a spacelike preferred direction and a very special relativity embedding with a lightlike preferred direction. In both analysis we consider the possibility of introducing quantum deformations of the corresponding symmetries such that the spacetime coordinates can be reconstructed and the particular form of the real space-momentum commutator remains covariant. Eventually feasible experiments, for which the nonlinear Lorentz dilatation effects here pointed out may be detectable, are suggested.

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CMS is a general purpose experiment, designed to study the physics of pp collisions at 14 TeV at the Large Hadron Collider ( LHC). It currently involves more than 2000 physicists from more than 150 institutes and 37 countries. The LHC will provide extraordinary opportunities for particle physics based on its unprecedented collision energy and luminosity when it begins operation in 2007. The principal aim of this report is to present the strategy of CMS to explore the rich physics programme offered by the LHC. This volume demonstrates the physics capability of the CMS experiment. The prime goals of CMS are to explore physics at the TeV scale and to study the mechanism of electroweak symmetry breaking - through the discovery of the Higgs particle or otherwise. To carry out this task, CMS must be prepared to search for new particles, such as the Higgs boson or supersymmetric partners of the Standard Model particles, from the start- up of the LHC since new physics at the TeV scale may manifest itself with modest data samples of the order of a few fb(-1) or less. The analysis tools that have been developed are applied to study in great detail and with all the methodology of performing an analysis on CMS data specific benchmark processes upon which to gauge the performance of CMS. These processes cover several Higgs boson decay channels, the production and decay of new particles such as Z' and supersymmetric particles, B-s production and processes in heavy ion collisions. The simulation of these benchmark processes includes subtle effects such as possible detector miscalibration and misalignment. Besides these benchmark processes, the physics reach of CMS is studied for a large number of signatures arising in the Standard Model and also in theories beyond the Standard Model for integrated luminosities ranging from 1 fb(-1) to 30 fb(-1). The Standard Model processes include QCD, B-physics, diffraction, detailed studies of the top quark properties, and electroweak physics topics such as the W and Z(0) boson properties. The production and decay of the Higgs particle is studied for many observable decays, and the precision with which the Higgs boson properties can be derived is determined. About ten different supersymmetry benchmark points are analysed using full simulation. The CMS discovery reach is evaluated in the SUSY parameter space covering a large variety of decay signatures. Furthermore, the discovery reach for a plethora of alternative models for new physics is explored, notably extra dimensions, new vector boson high mass states, little Higgs models, technicolour and others. Methods to discriminate between models have been investigated. This report is organized as follows. Chapter 1, the Introduction, describes the context of this document. Chapters 2-6 describe examples of full analyses, with photons, electrons, muons, jets, missing E-T, B-mesons and tau's, and for quarkonia in heavy ion collisions. Chapters 7-15 describe the physics reach for Standard Model processes, Higgs discovery and searches for new physics beyond the Standard Model.

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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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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)