971 resultados para COMPORTAMENTOS DESVIANTES
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O processo de reprodução humana é caracterizado por experiências singulares que afetam o homem e a mulher de forma diferenciada. O homem que vivencia o processo gestatório de sua companheira, mesmo não sofrendo as modificações gravídicas, enfrenta transformações relacionadas ao papel que desempenha junto à mulher gestante. Tal vivência é entremeada por significados diversos que dependem tanto da forma como ele concebe a gestação de sua companheira, como da experiência com gestações anteriores. Sendo assim, torna-se imprescindível reconhecer as concepções masculinas acerca das repercussões que uma gravidez conduz nas experiências seguintes, a fim de promover uma atenção em saúde direcionada para as necessidades apresentadas pelo homem, favorecer seu envolvimento e responsabilização no processo gestatório de sua companheira. Com base no exposto, objetivou-se compreender a concepção de homens, que vivenciam a gestação de sua companheira, acerca da influência de uma gravidez anterior sobre as demais. Para tal foi realizado uma pesquisa qualitativa por meio de entrevista semi-estruturada com homens que vivenciaram duas ou mais gestações de sua companheira com intervalo de no máximo cinco anos entre tais experiências. Cumpre ressaltar que as entrevistas ocorreram após parecer favorável de no 045/2011, emitido pelo Comitê de Ética e Pesquisa da Universidade Federal do Rio Grande do Norte. Os dados foram coletados por amostragem teórica e analisados, seguindo as etapas da Teoria Fundamentada nos Dados, sob a ótica proposta pelo Interacionismo Simbólico. Seguindo o percurso dos referenciais adotados, foram elaboradas três categorias: Sentimentos vivenciados pelo homem diante da gestação da companheira, Expectativas do homem diante da gestação da companheira e Repercussões da vivência de uma gravidez anterior sobre a seguinte. A análise das propriedades e dimensões de tais categorias suscitou à construção da teoria Influências de uma gravidez sobre a outra. Assim evidenciou-se que a gravidez anterior influencia nos sentimentos do homem diante de uma nova gestação, nas suas expectativas, principalmente quanto ao sexo do segundo filho, bem como em suas atitudes e comportamentos diante da companheira, do primogênito e do recém-nascido. Revelou-se que em todos esses aspectos ocorreram processos interativos do homem consigo mesmo, com sua companheira e com o contexto social no qual estava inserido. Assim sendo, conclui-se que a interação que o homem estabelece com a experiência anterior conduz a determinação de seus sentimentos e ações frente ao advento de uma nova gravidez. Diante disso, compreende-se que o entendimento sobre tal assunto é imprescindível para fundamentar ações do enfermeiro voltadas à inserção do homem no processo de gravidez, por meio da compreensão das repercussões de vivências anteriores na sua experiência com as demais gestações. Essa compreensão possibilitará uma dinâmica familiar favorável à adaptações requeridas em processos gestatórios seguintes, centrada na satisfação e valorização de seus membros.
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O objetivo deste trabalho foi relatar o surgimento de raças de Bremia lactucae, agente causal do míldio nas principais regiões produtoras de alface do estado de São Paulo. O estudo foi realizado no Laboratório de Melhoramento Genético de Hortaliças do Departamento de Produção Vegetal da UNESP, Campus de Jaboticabal. No período de 2006 e 2007, foram coletados 36 isolados de B. lactucae de diferentes regiões produtoras de alface no estado. Para identificação das raças foram utilizadas as cultivares diferenciadoras conforme o código Sextet. Foram identificadas três novas raças, SPBl:02, SPBl:03 e SPBl:04 com os referidos comportamentos do fungo: (63/31/19/00), (63/63/19/00) e (63/63/03/00). Os genes Dm-14, Dm-17, Dm-18, Dm-37 e Dm-38 conferem resistência a essas novas raças identificadas.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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This work presents a study of the ambient management in urban centers, considering the ambient perception as element necessary to develop in the population the conscience of the necessity to preserve the environment. For this, the attitudes and behaviors of the community, represented for students of an Institution had been evaluated, so that strategies and actions are traced that come to minimize the ambient degradation and to provide an aggregate sustainable development to the economic development. The objective of this research consists of studying the problematic one of the ambient management in urban centers under the point of view of the awareness, of the ambient perception and of the participation of the population, this because the ambient questions are inserted in the aspects that involve the practical life and the daily one, for what becomes excellent to understand that the environment is a right of all, therefore, must be preserved. The methodology used in this work constitutes in the application of a questionnaire with scales of the type likert contends variables that compose the acts and mannering aspects, beyond a partner-demographic scale. The Chi-square method was used in the analysis statistics de Pearson to verify the dependence of the associations between the partner-demographic 0 variable and the acts and mannering variables. The results point that the academic environment is opportune to deal with the subject, in view of that the ambient preservation goes for all the contents, and that the pupils of today will be able, in the future, in its areas of performance to plan action to safeguard the sustainable development. One concludes that the strategies to manage the environment pass for the awareness of the citizen, therefore when it is educated its attitudes will be more responsible, a time that the ambient concern will be present in its day-by-day. Therefore, the Public Power when planning programs of ambient preservation that comes to promote changes of habits of the population, such as: management of the solid residues generated by the population, recycling, programs of selective collections, ambient education, etc. the local community for the success of its actions will have to be involved
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The present study inserts on the international environmental thematic, approaching the integrated management of solid waste and the participation of the social actors in the search of the sustainable development. The awareness in combining it still describes a Selective Collection Program SCP of solid waste, in partnership with the municipal public power, in the development of joint actions that result in better alternatives of waste management in the urban centers, providing better life quality for the population and conservation of the environment. The aim of this research is to study problematic of the management of solid waste under the point of view of the environmental awareness and the participation of the population in a city of Brazil. In this matter, the target of the work is focusing on the strategy of solid waste management, through the attitudes and the respondents behaviors to aid in the making decision of the public manager related to the implantation of a selective collection program in Natal/RN. The methodology used in this work constitutes in the application of a questionnaire with scales of the type Likert being constituted of variables that compose the aspects of attitudes and of behaviors, besides a social-demographic scale. For analysis statistics is used the Pearson s Chi-Square Method in order to verify the dependence of the associations between the social-demographic variables and the attitude and the behavior ones. The results appear for a larger participation in a SCP, since this provides a better quality of life of the population (28,3 %), followed for offering a financial advantage (27,3%). Other results indicate the existence of the variables that exercise influence on the environmental awareness of the population to its demographic aspects
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In order to guarantee database consistency, a database system should synchronize operations of concurrent transactions. The database component responsible for such synchronization is the scheduler. A scheduler synchronizes operations belonging to different transactions by means of concurrency control protocols. Concurrency control protocols may present different behaviors: in general, a scheduler behavior can be classified as aggressive or conservative. This paper presents the Intelligent Transaction Scheduler (ITS), which has the ability to synchronize the execution of concurrent transactions in an adaptive manner. This scheduler adapts its behavior (aggressive or conservative), according to the characteristics of the computing environment in which it is inserted, using an expert system based on fuzzy logic. The ITS can implement different correctness criteria, such as conventional (syntactic) serializability and semantic serializability. In order to evaluate the performance of the ITS in relation to others schedulers with exclusively aggressive or conservative behavior, it was applied in a dynamic environment, such as a Mobile Database Community (MDBC). An MDBC simulator was developed and many sets of tests were run. The experimentation results, presented herein, prove the efficiency of the ITS in synchronizing transactions in a dynamic environment
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Several research lines show that sleep favors memory consolidation and learning. It has been proposed that the cognitive role of sleep is derived from a global scaling of synaptic weights, able to homeostatically restore the ability to learn new things, erasing memories overnight. This phenomenon is typical of slow-wave sleep (SWS) and characterized by non-Hebbian mechanisms, i.e., mechanisms independent of synchronous neuronal activity. Another view holds that sleep also triggers the specific enhancement of synaptic connections, carrying out the embossing of certain mnemonic traces within a lattice of synaptic weights rescaled each night. Such an embossing is understood as the combination of Hebbian and non-Hebbian mechanisms, capable of increasing and decreasing respectively the synaptic weights in complementary circuits, leading to selective memory improvement and a restructuring of synaptic configuration (SC) that can be crucial for the generation of new behaviors ( insights ). The empirical findings indicate that initiation of Hebbian plasticity during sleep occurs in the transition of the SWS to the stage of rapid eye movement (REM), possibly due to the significant differences between the firing rates regimes of the stages and the up-regulation of factors involved in longterm synaptic plasticity. In this study the theories of homeostasis and embossing were compared using an artificial neural network (ANN) fed with action potentials recorded in the hippocampus of rats during the sleep-wake cycle. In the simulation in which the ANN did not apply the long-term plasticity mechanisms during sleep (SWS-transition REM), the synaptic weights distribution was re-scaled inexorably, for its mean value proportional to the input firing rate, erasing the synaptic weights pattern that had been established initially. In contrast, when the long-term plasticity is modeled during the transition SWSREM, an increase of synaptic weights were observed in the range of initial/low values, redistributing effectively the weights in a way to reinforce a subset of synapses over time. The results suggest that a positive regulation coming from the long-term plasticity can completely change the role of sleep: its absence leads to forgetting; its presence leads to a positive mnemonic change
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Simulations based on cognitively rich agents can become a very intensive computing task, especially when the simulated environment represents a complex system. This situation becomes worse when time constraints are present. This kind of simulations would benefit from a mechanism that improves the way agents perceive and react to changes in these types of environments. In other worlds, an approach to improve the efficiency (performance and accuracy) in the decision process of autonomous agents in a simulation would be useful. In complex environments, and full of variables, it is possible that not every information available to the agent is necessary for its decision-making process, depending indeed, on the task being performed. Then, the agent would need to filter the coming perceptions in the same as we do with our attentions focus. By using a focus of attention, only the information that really matters to the agent running context are perceived (cognitively processed), which can improve the decision making process. The architecture proposed herein presents a structure for cognitive agents divided into two parts: 1) the main part contains the reasoning / planning process, knowledge and affective state of the agent, and 2) a set of behaviors that are triggered by planning in order to achieve the agent s goals. Each of these behaviors has a runtime dynamically adjustable focus of attention, adjusted according to the variation of the agent s affective state. The focus of each behavior is divided into a qualitative focus, which is responsible for the quality of the perceived data, and a quantitative focus, which is responsible for the quantity of the perceived data. Thus, the behavior will be able to filter the information sent by the agent sensors, and build a list of perceived elements containing only the information necessary to the agent, according to the context of the behavior that is currently running. Based on the human attention focus, the agent is also dotted of a affective state. The agent s affective state is based on theories of human emotion, mood and personality. This model serves as a basis for the mechanism of continuous adjustment of the agent s attention focus, both the qualitative and the quantative focus. With this mechanism, the agent can adjust its focus of attention during the execution of the behavior, in order to become more efficient in the face of environmental changes. The proposed architecture can be used in a very flexibly way. The focus of attention can work in a fixed way (neither the qualitative focus nor the quantitaive focus one changes), as well as using different combinations for the qualitative and quantitative foci variation. The architecture was built on a platform for BDI agents, but its design allows it to be used in any other type of agents, since the implementation is made only in the perception level layer of the agent. In order to evaluate the contribution proposed in this work, an extensive series of experiments were conducted on an agent-based simulation over a fire-growing scenario. In the simulations, the agents using the architecture proposed in this work are compared with similar agents (with the same reasoning model), but able to process all the information sent by the environment. Intuitively, it is expected that the omniscient agent would be more efficient, since they can handle all the possible option before taking a decision. However, the experiments showed that attention-focus based agents can be as efficient as the omniscient ones, with the advantage of being able to solve the same problems in a significantly reduced time. Thus, the experiments indicate the efficiency of the proposed architecture
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ln this work, it was deveIoped a parallel cooperative genetic algorithm with different evolution behaviors to train and to define architectures for MuItiIayer Perceptron neural networks. MuItiIayer Perceptron neural networks are very powerful tools and had their use extended vastIy due to their abiIity of providing great resuIts to a broad range of appIications. The combination of genetic algorithms and parallel processing can be very powerful when applied to the Iearning process of the neural network, as well as to the definition of its architecture since this procedure can be very slow, usually requiring a lot of computational time. AIso, research work combining and appIying evolutionary computation into the design of neural networks is very useful since most of the Iearning algorithms deveIoped to train neural networks only adjust their synaptic weights, not considering the design of the networks architecture. Furthermore, the use of cooperation in the genetic algorithm allows the interaction of different populations, avoiding local minima and helping in the search of a promising solution, acceIerating the evolutionary process. Finally, individuaIs and evolution behavior can be exclusive on each copy of the genetic algorithm running in each task enhancing the diversity of populations
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In this work, we propose methodologies and computer tools to insert robots in cultural environments. The basic idea is to have a robot in a real context (a cultural space) that can represent an user connected to the system through Internet (visitor avatar in the real space) and that the robot also have its representation in a Mixed Reality space (robot avatar in the virtual space). In this way, robot and avatar are not simply real and virtual objects. They play a more important role in the scenery, interfering in the process and taking decisions. In order to have this service running, we developed a module composed by a robot, communication tools and ways to provide integration of these with the virtual environment. As welI we implemented a set of behaviors with the purpose of controlling the robot in the real space. We studied available software and hardware tools for the robotics platform used in the experiments, as welI we developed test routines to determine their potentialities. Finally, we studied the behavior-based control model, we planned and implemented alI the necessary behaviors for the robot integration to the real and virtual cultural spaces. Several experiments were conducted, in order to validate the developed methodologies and tools
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Several mobile robots show non-linear behavior, mainly due friction phenomena between the mechanical parts of the robot or between the robot and the ground. Linear models are efficient in some cases, but it is necessary take the robot non-linearity in consideration when precise displacement and positioning are desired. In this work a parametric model identification procedure for a mobile robot with differential drive that considers the dead-zone in the robot actuators is proposed. The method consists in dividing the system into Hammerstein systems and then uses the key-term separation principle to present the input-output relations which shows the parameters from both linear and non-linear blocks. The parameters are then simultaneously estimated through a recursive least squares algorithm. The results shows that is possible to identify the dead-zone thresholds together with the linear parameters
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Amongst the results of the AutPoc Project - Automation of Wells, established between UFRN and Petrobras with the support of the CNPq, FINEP, CTPETRO, FUNPEC, was developed a simulator for equipped wells of oil with the method of rise for continuous gas-lift. The gas-lift is a method of rise sufficiently used in production offshore (sea production), and its basic concept is to inject gas in the deep one of the producing well of oil transform it less dense in order to facilitate its displacement since the reservoir until the surface. Based in the use of tables and equations that condense the biggest number of information on characteristics of the reservoir, the well and the valves of gas injection, it is allowed, through successive interpolations, to simulate representative curves of the physical behavior of the existing characteristic variable. With a simulator that approaches a computer of real the physical conditions of an oil well is possible to analyze peculiar behaviors with very bigger speeds, since the constants of time of the system in question well are raised e, moreover, to optimize costs with assays in field. The simulator presents great versatility, with prominance the analysis of the influence of parameters, as the static pressure, relation gas-liquid, pressure in the head of the well, BSW (Relation Basic Sediments and Water) in curves of request in deep of the well and the attainment of the curve of performance of the well where it can be simulated rules of control and otimization. In moving the rules of control, the simulator allows the use in two ways of simulation: the application of the control saw software simulated enclosed in the proper simulator, as well as the use of external controllers. This implies that the simulator can be used as tool of validation of control algorithms. Through the potentialities above cited, of course one another powerful application for the simulator appears: the didactic use of the tool. It will be possible to use it in formation courses and recycling of engineers
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A modelagem de processos industriais tem auxiliado na produção e minimização de custos, permitindo a previsão dos comportamentos futuros do sistema, supervisão de processos e projeto de controladores. Ao observar os benefícios proporcionados pela modelagem, objetiva-se primeiramente, nesta dissertação, apresentar uma metodologia de identificação de modelos não-lineares com estrutura NARX, a partir da implementação de algoritmos combinados de detecção de estrutura e estimação de parâmetros. Inicialmente, será ressaltada a importância da identificação de sistemas na otimização de processos industriais, especificamente a escolha do modelo para representar adequadamente as dinâmicas do sistema. Em seguida, será apresentada uma breve revisão das etapas que compõem a identificação de sistemas. Na sequência, serão apresentados os métodos fundamentais para detecção de estrutura (Modificado Gram- Schmidt) e estimação de parâmetros (Método dos Mínimos Quadrados e Método dos Mínimos Quadrados Estendido) de modelos. No trabalho será também realizada, através dos algoritmos implementados, a identificação de dois processos industriais distintos representados por uma planta de nível didática, que possibilita o controle de nível e vazão, e uma planta de processamento primário de petróleo simulada, que tem como objetivo representar um tratamento primário do petróleo que ocorre em plataformas petrolíferas. A dissertação é finalizada com uma avaliação dos desempenhos dos modelos obtidos, quando comparados com o sistema. A partir desta avaliação, será possível observar se os modelos identificados são capazes de representar as características estáticas e dinâmicas dos sistemas apresentados nesta dissertação
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They are in this study the experimental results of the analysis of thermal performance of composite material made from a plant matrix of polyurethane derived from castor oil of kernel of mamona (COF) and loading of clay-mineral called vermiculite expanded. Bodies of evidence in the proportions in weight of 10%, 15% and 20% were made to determine the thermal properties: conductivity (k), diffusivity (ά) and heat capacity (C), for purposes of comparison, the measurements were also performed the properties of polyurethane of castor without charge and also the oil polyurethane (PU), both already used in thermal insulation. Plates of 0.25 meters of material analyzed were manufactured for use as insulation material in a chamber performance thermal coverage. Thermocouples were distributed on the surface of the cover, and inside the material inside the test chamber and this in turn was subjected to artificial heating, consisting of a bank of incandescent lamps of 3000 w. The results obtained with the composite materials were compared with data from similar tests conducted with the camera alone with: (a) of oil PU, (b) of COF (c) glass wool, (d ) of rock wool. The heat resistance tests were performed with these composites, obtaining temperature limits for use in the range of 100 º C to 130 º C. Based on the analysis of the results of performance and thermal properties, it was possible to conclude that the COF composites with load of expanded vermiculite present behavior very close to those exhibited by commercial insulation material
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)