Elaboração de ferramenta computacional para aprendizado da anatomia do pescoço

The teaching-learning process requires a constant search on the part of educators for didatic innovations aimed at improving learning. Among these are technological innovations our students are familiar with. In human anatomy teaching, these innovations are increasingly important, since the need for “mechanizing” many structures may make learning tiresome and nonstimulating for students. The search for new technologies may make this process simpler. Another important issue is the need to constantly emphasize applying the knowledge in question, in order for students to better understand the meaning of learning. Accordingly, this project aims to develop an interactive tablet application for neck anatomy. This application will function as a guide to dissection, containing text, photographs, drawings and videos, distributed systematically, with a script emphasizing the clinical and surgical importance of neck anatomy.

Aprendizagem espaço-temporal e efeitos das condições luminosas no aprendizado do peixe paulistinha

Para processar a informação ambiental e perceber o tempo, os indivíduos utilizam-se de pistas ambientais, como luz e temperatura, que servem como guias para o relógio interno. O mecanismo temporizador endógeno é chamado relógio circadiano, o qual comanda uma grande variedade de ritmos diários bioquímicos, fisiológicos e comportamentais presentes nos organismos. Com isso, os animais podem antecipar eventos espaço-temporalmente distribuídos e usar essa informação para organizar as atividades diárias, o que é uma vantagem adaptativa para os indivíduos, já que muitos fatores ambientais apresentam variação circadiana. Aprendizagem espaço-temporal (do inglês: "time-place learning’’-TPL) é a habilidade de associar lugares com importantes eventos biológicos em diferentes horas do dia. Em nosso estudo utilizamos como modelo o peixe paulistinha (Danio rerio), conhecido por ser altamente social, para testar aprendizagem espaço-temporal baseada em reforço social. Além disso, objetivamos averiguar os efeitos das condições de claro constante e escuro constante na aprendizagem espaço-temporal, e se nessas condições, a atividade do peixe paulistinha é alterada. Para isso, testamos três diferentes condições (n=10): grupo claro-escuro (CE), grupo claro constante (CC) e grupo escuro constante (EE) durante 30 dias da seguinte maneira: diariamente, um grupo de 5 peixes paulistinha foi introduzido em um recipiente localizado no compartimento da manhã (um dos lados do aquário), às 8:00h e retirado às 9:00h, e em outro recipiente do compartimento da tarde (lado oposto do aquário), às 17:00h e removido às 18:00h, servindo como estímulo para que o peixe experimental ocupasse o compartimento onde o grupo fosse colocado. O comportamento foi filmado nos dois horários, 15 minutos antes e durante os 60 minutos de exposição ao estímulo, no 15º e no 30ª dia, porém neste último, os peixes foram filmados sem a presença do estímulo a fim de averiguarmos a aprendizagem espaço-temporal. Por fim, para saber a influência das três condições luminosas na atividade dos peixes, filmamos os últimos 6 dias de teste, para registrar o padrão de atividade. Nossos resultados mostraram que em ciclo claro-escuro (CE) o peixe paulistinha apresenta TPL, bem como é capaz de antecipar a hora e local do estímulo (grupo de coespecíficos), enfatizando a importância do estímulo social para a aprendizagem. Em condições de claro constante e escuro constante, o peixe paulistinha não apresentou aprendizagem espaço-temporal. Ademais, após 30 dias em condições luminosas constantes (claro constante e escuro constante), o peixe paulistinha mantém ritmo circadiano, porém em claro constante sua atividade é aumentada e seu ritmo atividade-repouso é alterado, através de um padrão de atividade distribuída homogeneamente ao longo das 24h, ao invés de concentrada na subjetiva fase clara, como nos grupos de ciclo claro-escuro e escuro constante, os quais conservam o padrão de atividade diurno da espécie.

Gibiteca escolar: um instrumento para o aprendizado

OLIVEIRA, Marta Raquel Santos de; SOUZA, Patrícia Severiano Barbosa de. Gibiteca escolar: um recurso para o aprendizado. In: SEMINÁRIO DE PESQUISA DO CCSA, XVI., 2010, Natal. Anais eletrônicos... Natal: UFRN, 2010. Disponível em: .

Information literacy: uma análise nas bibliotecas escolares da rede privada em Natal / RN

GUEDES, Clediane de Araújo; FARIAS, Gabriela Belmont de. Information literacy: uma análise nas bibliotecas escolares da rede privada em Natal / RN. Revista Digital de Biblioteconomia e Ciência da Informação, Campinas, v. 4, n. 2, p. 110-133, jan./jun. 2007

Ergonomia cognitiva do trabalho: um estudo baseado na gestão do conhecimento e no capital intelectual

REGIS, Josiana Florencio Vieira. et al. Ergonomia cognitiva do trabalho: um estudo baseado na gestão do conhecimento e no capital intelectual. IN: SIMPOSIO DE ENGENHARIA DE PRODUÇAO, 15., 2008, Sao Paulo. Anais eletronicos... Sao Paulo: UNESP, 2008. TRabalho oral. Disponivel em: http://www.simpep.feb.unesp.br/anais_simpep.php?e=2. Acesso em: 4.set.2010.

As bibliotecas escolares digitais constituídas através de uma rede de conhecimento digital

BEZERRA, Gesiane Ferreira; CÂMARA, Rafael Silva da; SANTOS, Valdete Honorato dos et al. As bibliotecas escolares digitais contituídas através de uma rede de conhecimento digital. In: SEMINÁRIO DE PESQUISA DO CENTRO DE CIENCIAS SOCIAIS APLICADAS, 16, 2010. Natal. Anais eletrônicos... Natal: SEMINÁRIO CCSA, 2010. Trabalho oral. Disponível em:. Acesso em: 25 nov. 2011.

Ensinando e aprendendo a ler na escola infantil: reflexões sobre o saber-fazer de uma professora

Este trabalho objetivou uma reflexão sobre a ação mediadora no processo de ensino-aprendizagem da leitura, por mim vivenciada no Núcleo de Educação Infantil (NEI/UFRN) junto a crianças de 6/7 anos, tendo como proposta explicitar os elementos orientadores necessários a esse processo, que se traduzam como referência a outras práticas educativas. Sua realização pressupôs as seguintes questões: que conteúdos estão envolvidos no ensinoaprendizado da leitura? Como os alunos aprendem a ler? Que tarefas são instrumentais no ensino e aprendizado da leitura? Nele foi adotada a concepção de leitura enquanto atribuição de significados a um texto escrito através do processo interativo entre leitor e texto, guiado pelos objetivos/finalidades deste leitor. Adotou os princípios metodológicos da abordagem qualitativa, entre cujas características salienta-se a primazia do interesse pelo processo do que simplesmente pelos resultados ou produto. Seus resultados evidenciaram que a leitura, enquanto prática cultural, pode ser aprendida na escola infantil, espaço de apropriação de saberes mediados pela cultura. Constatou-se que, a exemplo das demais aprendizagens, o aprendizado da leitura implica numa atividade mediada em que o professor, administrando e organizando o meio social educativo, cria espaços de diálogo para as muitas vozes presentes nesse meio. Gera, desse modo, um contexto polifônico, dialógico e de alteridade pela ação de planejar/avaliar/replanejar a sua atuação e a de seus alunos. A relevância deste estudo concerne à intenção de socializar uma vivência, cuja tônica é a reflexão sobre a leitura enquanto prática cultural e as estratégias de ensinar e aprender a ser leitor.

Do tratamento das reclamações à gestão da insatisfação: o comportamento de empresas hoteleiras mediante a insatisfação de seus clientes

Consumer dissatisfaction, when properly handled, is a significant information source for the manager. Studies in this area allow broadening the understanding of certain customer attitudes and behaviors, such as loyalty, repurchase intention or satisfaction and trust increase. Above and beyond supporting consumer feedback, dissatisfaction can provide significant opportunities for organizational learning. Starting from dissatisfied customer information, companies can detect service flaws and develop new products. This work presents the results of an investigation on the behavior of businesses belonging to the hotel sector in Natal, RN, through the dissatisfaction of their customers. We have sought to map the main problems presented by customers to hotels, in the perception of managers and employees, as well as to understand both the process of dissatisfactionrelated data collection, analysis, and processing, and the utilization of such information by businesses. Beyond this, we have compared the habits of organizations to the company reaction approaches described in the literature: Complaint Handling, Complaint Management, and Dissatisfaction Management. The used methodology has been based on case study. Data was collected via indepth interviews with managers and employees in six hotels, two independent ones and four belonging to national and international hotel networks. We have also made use of documents provided by the organizations, such as guest complaint registers and reports from satisfaction surveys on which content analysis was subsequently performed. The results of the investigation point to a high level of awareness in the companies concerning the importance of consumer dissatisfaction. Even though the maximum grade in the procedure scale is not achieved, it has been observed that answer to dissatisfaction is given in planned and systematic form, geared towards consumer satisfaction and improvement of products and processes. Hotel businesses still have to look into other possibilities for mapping consumer dissatisfaction, which implies, among other aspects, articulation with a range of public and private organizations in such a way as to guarantee sustainability of touristic activities in the long term

Coevolução e as práticas isomórficas de gestão: um estudo sobre os processos de mudanças institucionais no Instituto Federal de Educação, Ciência e Tecnologia do RN

The Federal Institution for Education, Science and Technology, in its historical path, has been living different changes. The transformations occurred along the way have been determined by coercive forces from the institutional environment, which has became more and more broad and complex throughout the time, obtaining diverse characteristics and new elements such as non institutional factors1 which started to contribute with the other changes. In this context, this work aims to study the isomorphic practices of the managers in the institutional changes process of the IFRN in 1998 and 2008, as of a theoretical coevolutionary perspective (CHILD; RODRIGUES; LEWIN; CARROL; VOLBERDA, 2003). This theory brings a new point of view for the organization analysis to the organizational studies, since it offers a non deterministic and non linear lection of the evolution process, which means, a coevolution. Thus, the organizations and their institutional and non institutional environment auto evolve, auto organize and auto reproduce. Therefore, the institutional and non institutional factors of the macro environment keep a continuous interdependence relationship with the organizations. For the means of this study, it is important to understand that is impossible to comprehend the object, the isomorphic practices, without considering that the previous institutional changes and its evolutions, its continuations and discontinuations, important in the coevolution process. As such, to call upon the institutional historical track is a fundamental aspect to materialize this study, for the recursive movement is indeed present in the coevolution. Another important point to make this research effective is that it is not possible to abdicate from the hologramatic view2 of this study, which considers the object, the isomorphic practices, part of the whole and this whole is also in the parts, therefore it is impossible to comprehend the object of study outside the context where it belongs. With this, as of the objective previously proposed, it is necessary to describe the characteristics of coevolution of the institutional changes related in 1998 and 2008; analyze the dynamic of the isomorphic mechanisms in its respective institutional change process; and describe the lessons learned which the isomorphic practices left to the IFRN, regarding its benefits and difficulties. All these transformations happened through coercive forces3 of the institutional environment. As of the Nineties, these forces became stronger, the environment became broader and more complex, with the emergency of new environmental factors. This study proposed to study the managing process and its practices, related to the micro environment, although it is required to articulate these actions, the demands and requirements from the macro environment. To make this research effective, semi structured interviews have been conducted with the managers who participated in both institutional change processes. In the results analysis, it has been possible to verify the particularity of each change, the one from 1998 with a strong normative action of the managers against coercive forces from the government for the search of recognition and the institutional legitimation and the one in 2008, which has been characterized by the normative action by managers in agreement with the coercive forces from the government, in favor of the government policy for the technological professional education. However, the results analysis it is possible to notice the evidence of a belonging feeling from the interviewed managers

Previsão do índice bovespa por meio de redes neurais artificiais: uma análise comparada aos métodos tradicionais de séries de tempo

Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model

O entre do carvão ao corpo - em - arte de ator-brincante

I propose with this paper a reflection on the experiences contained in the creation of the body- in-art (FERRACINI, 2006a, b) that originated the show Rosmaninhos... This process was developed within the coletivo UZUME teatro from João Pessoa PB, through recreations and resignifications of the corporeity and physicality contained in the steps, loas, aboios, songs and choreography observed in the manners that Mestre Zequinha plays in his group of Cavalo Marinho (Sea Horse), resident in the city of Bayeux - PB, and starting from the appropriation of the text Hamlet of William Shakespeare. The body-in-art is understood in this work as a vectorial body that dilates its daily functionality, recognizing a potential learning area capable to generate creative escape lines that destabilize the "subject centered in an individuality and identity" (FOUCAULT apud FERRACINI, 2006b, p.14), being open to the differentiation of itself, indicating the possible existence of an itself-other and of the exchange-in-art space. This process of construction of the body-in-art based on Master Zequinha s ways of playing the Cavalo Marinho was methodically guided by the appropriation of the coletivo UZUME teatro of the stages of Observation, Codification and Theatricalization contained in the technique of corporal mimeses proposed by the LUME Teatro (Campinas - SP). That use resulted in two phases: Active Observation and Composition of the body-in-art. Through the repetition of these aesthetic matrixes of the Cavalo Marinho, the actors discovered actions that when, codified and organized, can configure their body-in-art, which created a vectorial exchange-in-art space to what was found in the Cavalo Marinho party. This search proposed the means of potentiating the actors' work when it comes to a preparation that allowed to dilate the scenic presence and stimulated the production of actions, which culminated in the mounting of the show Rosmaninhos...

A sala de aula em cena: uma pesquisa em ensino do teatro a partir da experiência docente

At first moment we present a reflection about the history of theater and later a contextualization of didactic movements oriented to scenic arts. Through at the constant dialogue with authors of areas involving education, theatre, corporeality and music was possible analyzing, develop and criticize a education work under my responsibility involving fourteen classes. At the second moment will occur a critical self about the quality of theater classes his contents and methodologies. The technique will be at side of the emotion and together develop skills aimed at tracing paths for theater developed at a classroom of a especific private school in Natal-RN. At the third moment one class is chosen for analyze of the academic research and many experiments happen after this decision, initiated and sensitized through of the music with a significant look at the corporeality and prioritizing the theater as content in ninth grade - elementary school two. At the conclusion is possible see that learning is mutual and the theater can become life routine as well as the arts in general and when all arts will be regularized into the national educational system for public and private schools we will have more susceptible humans and more intellectual capacity

Estudo e implementação de algoritmos inteligentes para detecção e classificação de falhas na medição de gás natural

This master dissertation presents the study and implementation of inteligent algorithms to monitor the measurement of sensors involved in natural gas custody transfer processes. To create these algoritmhs Artificial Neural Networks are investigated because they have some particular properties, such as: learning, adaptation, prediction. A neural predictor is developed to reproduce the sensor output dynamic behavior, in such a way that its output is compared to the real sensor output. A recurrent neural network is used for this purpose, because of its ability to deal with dynamic information. The real sensor output and the estimated predictor output work as the basis for the creation of possible sensor fault detection and diagnosis strategies. Two competitive neural network architectures are investigated and their capabilities are used to classify different kinds of faults. The prediction algorithm and the fault detection classification strategies, as well as the obtained results, are presented

Uma aplicação da apredizagem por reforço na otimização da produção em um campo de petróleo

The objective of reservoir engineering is to manage fields of oil production in order to maximize the production of hydrocarbons according to economic and physical restrictions. The deciding of a production strategy is a complex activity involving several variables in the process. Thus, a smart system, which assists in the optimization of the options for developing of the field, is very useful in day-to-day of reservoir engineers. This paper proposes the development of an intelligent system to aid decision making, regarding the optimization of strategies of production in oil fields. The intelligence of this system will be implemented through the use of the technique of reinforcement learning, which is presented as a powerful tool in problems of multi-stage decision. The proposed system will allow the specialist to obtain, in time, a great alternative (or near-optimal) for the development of an oil field known

Predição não-linear de curvas de produção de petróleo via redes neurais recursivas

One of the main activities in the petroleum engineering is to estimate the oil production in the existing oil reserves. The calculation of these reserves is crucial to determine the economical feasibility of your explotation. Currently, the petroleum industry is facing problems to analyze production due to the exponentially increasing amount of data provided by the production facilities. Conventional reservoir modeling techniques like numerical reservoir simulation and visualization were well developed and are available. This work proposes intelligent methods, like artificial neural networks, to predict the oil production and compare the results with the ones obtained by the numerical simulation, method quite a lot used in the practice to realization of the oil production prediction behavior. The artificial neural networks will be used due your learning, adaptation and interpolation capabilities