Cuidado de enfermagem ao potencial doador de órgãos em morte encefálica: uma reflexão sobre a prática

Despite of the technological advances that favor the transplant process, there are issues of effectiveness of care necessary for the maintenance of potential organ donors with brain death, which contribute to the no realization of transplants of organs and tissues of these patients. It is presupposed that the problems could be related to perceptions and understandings that the professionals of the units of internment have about the care required by the diagnosis of brain death. The aim of this study was to understand the meaning of the nursing care of the potential organ donor with brain death to the nursing staff. Descriptive study with qualitative approach guided by Action Science Theory and the critic-reflexive research methodology accomplished with five nurses and 19 nursing technicians from Operative Rehabilitation Center in a public hospital at Natal / RN, Brazil, between March and May 2013. Data were collected through semi-structured interviews with individual reflection about the care and through group interview, after approval by the Ethics and Research Committee, CAAE No.: 04255612.7.0000.5537. The analysis was performed in a thematic way according to Bardin. During the group meeting the participants were driven in a discussion about the need for change and how to perform them. The results indicate that the professionals actions are consistent with those required for maintenance of potential organ donors, although the material and human resources are not adequate. That situation leads the professionals to develop a meaning of care as one labor more, demanding more than they can give. They express beliefs and feelings concerning the hope that their care brings a greater good that is to save lives. The reflection for a possible change of action was difficult to accomplish due to professionals not to be able to self evaluate, what lead to direct your changes suggestions for other team members. It is concluded that the care provided to these patients is a difficult care, evidenced by suffering both death situation of the person cared and pain of their families, as the dehumanizing conditions of work, helping themselves to keep distance from patients to not suffer so much. The knowledge impregnated in their act, are scientific, ethical, aesthetic and personal kind with a predominance of the scientific followed by the personal. The study was also relevant to the practice of nursing in maintaining the potential donor, in that it allowed the identification of the knowledge used by nurses in their care practice and the meaning understanding of the professionals on the care provided, as a good action that brings satisfaction when the transplanting is executed. Other experiences are suggested with the critic-reflexive research methodology, both in research as in teaching nursing

Razão e Fé: estudo do grupo de oração como prática complementar na promoção à saúde

The World Health Organization (WHO) has given special attention to therapeutic procedures other than those practiced in conventional therapy, including homeopathy, phytotherapy, spiritual therapies and prayers, making possible the transition from a mere medicalizating model to a holistic view of the human being. This trend, earmarked in 1978 at the Alma-Ata Conference, questions the ability of technological and specialized medicine to solve the health problems of humankind. In Brazil, the onset of the Brazilian unified health system in 1988, introduced changes in the population s health care model where, within the scope of basic care, emphasis has been given to the Family Health Program since 1994. In this scenery, there is a broad area of complementary practices used in promoting health and preventing and treating diseases to support an understanding of the habits and beliefs underpinning popular practices. The purpose of this study was to analyze the perception users participating in the Peace and Balance group of the Family Health Unit of Nova Cidade, in Natal, Rio Grande do Norte, started in 1999, have of the relationship between the experience of prayer and the changes that may have taken place in their lives after joining the group. It is a case study of descriptive nature and qualitative approach. The data were collected during focus group interviews between January and February 2007, using as tools a questionnaire to describe the research participants and a discussion outline. The theoretical support approached the following: religion and the evolution of thought; complementary health practices; and religion as a complementary health practice. Those interviewed reported, as results of such experience, a reduction in stress and depression, an increase in socialization and self-esteem, improved family interaction, comfort, safety, assurance, improved blood pressure levels and a decrease in the use of antihypertension medication and psychopharmacs. Although most professionals do not consider attention to the religious and spiritual aspects an effective therapeutical complement in health care, its understanding and practice may democratize knowledge and relationships, out of which they can learn how to make health production more effective, strengthening assurance and confidence, and developing and expanding soft technologies aimed at health care promotion and wholeness

Fatores de satisfação de empregados: um estudo com docentes de instituição de educação tecnológica

This Master of Science Thesis deals with investigating the factors affecting employees satisfaction studying the case of teachers on a technological education institution. It is surveyed teachers in a sample of size 42 out of 316. It is used a form that deploys a model of satisfaction antecedents factors comprised of work system, professional development, teaching activity, physical environment, pay, and problems management. The sample was found representative (χ2 test) based on genre, tenure, degrees, and age. The model for satisfaction with the institution presented a adjusted r2 > 0,80 and the main factors affecting it was found to be work system, professional development, and teaching activity. For the satisfaction with the career, the model results with a r2 > 0,70 and as main factors professional development, teaching activitiy and pay. The variables contribuition for the students education and use of suggestions were ones of the main variables appearing in the models. The results suggest an improvement in the model regarding the previous models used by Silva (2003) and Cruz Filho (2007) regarding model explicability of teacher satisfaction

Gestão de satisfação e fidelidade do cliente: um estudo dos fatores que afetam a satisfação e fidelidade dos compradores de automóveis

This Master s thesis presents a discussion on customer satisfaction models investigating the relations of antecedent variables service quality, price index, complaint handling, image, affective and calculative commitment, with satisfaction and loyalty. The scope of the research is the influence of service dimensions in the car buyer s satisfaction and loyalty. A sample of 91 customers was surveyed among new cars buyers of one brand in Natal city, Brazil, and the data was analyzed using multiple regression analysis. The literature review covers subjects such as customer satisfaction, management system, customer satisfaction measurement index models. The main findings suggest that satisfaction with the car brand is mainly influenced by customization of the service, time for accomplishing servicing, and the way the dealer handle complains. Regarding the dealer itself the main variable related to satisfaction is also time for accomplishing servicing. Considering customer loyalty, the customer satisfaction with the dealer explain strongly the loyalty with the brand/manufacturer. Also, the satisfaction, affective commitment and complains handling were found related to loyalty, as the stronger variables explaining the loyalty variance. One main conclusion is that service provided by dealers is one key factor influencing the customer satisfaction and loyalty in auto industry

Aprendizado por Reforço com Valores deInfluência em Sistemas Multi-Agente

We propose a new paradigm for collective learning in multi-agent systems (MAS) as a solution to the problem in which several agents acting over the same environment must learn how to perform tasks, simultaneously, based on feedbacks given by each one of the other agents. We introduce the proposed paradigm in the form of a reinforcement learning algorithm, nominating it as reinforcement learning with influence values. While learning by rewards, each agent evaluates the relation between the current state and/or action executed at this state (actual believe) together with the reward obtained after all agents that are interacting perform their actions. The reward is a result of the interference of others. The agent considers the opinions of all its colleagues in order to attempt to change the values of its states and/or actions. The idea is that the system, as a whole, must reach an equilibrium, where all agents get satisfied with the obtained results. This means that the values of the state/actions pairs match the reward obtained by each agent. This dynamical way of setting the values for states and/or actions makes this new reinforcement learning paradigm the first to include, naturally, the fact that the presence of other agents in the environment turns it a dynamical model. As a direct result, we implicitly include the internal state, the actions and the rewards obtained by all the other agents in the internal state of each agent. This makes our proposal the first complete solution to the conceptual problem that rises when applying reinforcement learning in multi-agent systems, which is caused by the difference existent between the environment and agent models. With basis on the proposed model, we create the IVQ-learning algorithm that is exhaustive tested in repetitive games with two, three and four agents and in stochastic games that need cooperation and in games that need collaboration. This algorithm shows to be a good option for obtaining solutions that guarantee convergence to the Nash optimum equilibrium in cooperative problems. Experiments performed clear shows that the proposed paradigm is theoretical and experimentally superior to the traditional approaches. Yet, with the creation of this new paradigm the set of reinforcement learning applications in MAS grows up. That is, besides the possibility of applying the algorithm in traditional learning problems in MAS, as for example coordination of tasks in multi-robot systems, it is possible to apply reinforcement learning in problems that are essentially collaborative

Uma Aplicação de Redes Neurais Auto-Organizaveis à Reconstrução Tridimensional de Superfícies

We propose a multi-resolution approach for surface reconstruction from clouds of unorganized points representing an object surface in 3D space. The proposed method uses a set of mesh operators and simple rules for selective mesh refinement, with a strategy based on Kohonen s self-organizing map. Basically, a self-adaptive scheme is used for iteratively moving vertices of an initial simple mesh in the direction of the set of points, ideally the object boundary. Successive refinement and motion of vertices are applied leading to a more detailed surface, in a multi-resolution, iterative scheme. Reconstruction was experimented with several point sets, induding different shapes and sizes. Results show generated meshes very dose to object final shapes. We include measures of performance and discuss robustness.

Algoritmos inteligentes para auto-correção, auto-verificação e auto-validação de medidas em sensores

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

Análise de antenas utilizando substrato cerâmico, zpt, produzido por síntese auto propagante para aplicações em sistemas de micro-ondas

Ceramic substrates have been investigated by researchers around the world and has achieved a high interest in the scientific community, because they had high dielectric constants and excellent performance in the structures employed. Such ceramics result in miniaturized structures with dimensions well reduced and high radiation efficiency. In this work, we have used a new ceramic material called lead zinc titanate in the form of Zn0,8Pb0,2TiO3, capable of being used as a dielectric substrate in the construction of various structures of antennas. The method used in constructing the ceramic combustion synthesis was Self- Sustained High Temperature (SHS - "Self-Propagating High-Temperature Synthesis") which is defined as a process that uses highly exothermic reactions to produce various materials. Once initiated the reaction area in the reaction mixture, the heat generated is sufficient to become self-sustaining combustion in the form of a wave that propagates converting the reaction mixture into the product of interest. Were analyzed aspects of the formation of the composite Zn0,8Pb0,2TiO3 by SHS powders and characterized. The analysis consisted of determining the parameters of the reaction for the formation of the composite, as the ignition temperature and reaction mechanisms. The production of composite Zn0,8Pb0,2TiO3 by SHS performed in the laboratory, was the result of a total control of combustion temperature and after obtaining the powder began the development of ceramics. The product was obtained in the form of regular, alternating layers of porous ceramics and was obtained by uniaxial pressing. 10 The product was characterized by analysis of dilatometry, X-ray diffraction analysis and scanning electron microscopy. One of the contributions typically defined in this work is the development of a new dielectric material, nevertheless presented previously in the literature. Therefore, the structures of the antennas presented in this work consisted of new dielectric ceramics based Zn0,8Pb0,2TiO3 usually used as dielectric substrate. The materials produced were characterized in the microwave range. These are dielectrics with high relative permittivity and low loss tangent. The Ansoft HFSS, commercial program employee, using the finite element method, and was used for analysis of antennas studied in this work

Identificação de nematóides através de técnicas de processamento inteligentes de imagens

abstract

Compressão auto-adaptativa de imagens coloridas

Image compress consists in represent by small amount of data, without loss a visual quality. Data compression is important when large images are used, for example satellite image. Full color digital images typically use 24 bits to specify the color of each pixel of the Images with 8 bits for each of the primary components, red, green and blue (RGB). Compress an image with three or more bands (multispectral) is fundamental to reduce the transmission time, process time and record time. Because many applications need images, that compression image data is important: medical image, satellite image, sensor etc. In this work a new compression color images method is proposed. This method is based in measure of information of each band. This technique is called by Self-Adaptive Compression (S.A.C.) and each band of image is compressed with a different threshold, for preserve information with better result. SAC do a large compression in large redundancy bands, that is, lower information and soft compression to bands with bigger amount of information. Two image transforms are used in this technique: Discrete Cosine Transform (DCT) and Principal Component Analysis (PCA). Primary step is convert data to new bands without relationship, with PCA. Later Apply DCT in each band. Data Loss is doing when a threshold discarding any coefficients. This threshold is calculated with two elements: PCA result and a parameter user. Parameters user define a compression tax. The system produce three different thresholds, one to each band of image, that is proportional of amount information. For image reconstruction is realized DCT and PCA inverse. SAC was compared with JPEG (Joint Photographic Experts Group) standard and YIQ compression and better results are obtain, in MSE (Mean Square Root). Tests shown that SAC has better quality in hard compressions. With two advantages: (a) like is adaptive is sensible to image type, that is, presents good results to divers images kinds (synthetic, landscapes, people etc., and, (b) it need only one parameters user, that is, just letter human intervention is required

Estudo avaliativo de um algoritmo genético auto-organizável e multiobjetivo utilizando aprendizado de máquina para aplicações de telecomunicações

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

Contribuições a técnicas de agrupamento e visualização de dados multivariados utilizando mapas auto-organizáveis

Self-organizing maps (SOM) are artificial neural networks widely used in the data mining field, mainly because they constitute a dimensionality reduction technique given the fixed grid of neurons associated with the network. In order to properly the partition and visualize the SOM network, the various methods available in the literature must be applied in a post-processing stage, that consists of inferring, through its neurons, relevant characteristics of the data set. In general, such processing applied to the network neurons, instead of the entire database, reduces the computational costs due to vector quantization. This work proposes a post-processing of the SOM neurons in the input and output spaces, combining visualization techniques with algorithms based on gravitational forces and the search for the shortest path with the greatest reward. Such methods take into account the connection strength between neighbouring neurons and characteristics of pattern density and distances among neurons, both associated with the position that the neurons occupy in the data space after training the network. Thus, the goal consists of defining more clearly the arrangement of the clusters present in the data. Experiments were carried out so as to evaluate the proposed methods using various artificially generated data sets, as well as real world data sets. The results obtained were compared with those from a number of well-known methods existent in the literature

Cosmoeducação: uma abordagem transdisciplinar no ensino de astronomia

This work proposes a transdisciplinary approach that integrates transpersonal psychology exercises with astronomy teaching, seeking to allow one to reintegrate the sky in his/her daily life, expand his/her environmental awareness and eventually experiment the unity between human and cosmos. This proposal intends to collaborate with the supplying of education, which lacks initiatives of this kind, with the promotion of an integration of the scientific knowledge with the human experience that transcends the materialistic and fragmentary objectives of the current educational system. As a result of that lack, the teachers formation is also poor as for an integral and transdisciplinary approach. Besides, we also approached in this research the necessity to propose alternatives so that the educators may work in a more assertive way with the environmental and anthropological crisis in which we are living. Our working hypothesis is that the contents of astronomy, when they are dealt in a holisticanthropological focus and are related with transpersonal psychology practices, can come to be an efficient cultural-academic vehicle, capable of propitiating an expansion of consciousness and changes in the way one conceives the world. Such changes are necessary so that a more solidary, fair and ecologically balanced life may come to exist and prevail in the planet. Part of the collection of data was done through the ethnographic method, once an anthropological interpretation is inextricably associated with this kind of educational intervention, which will naturally include ethno-visions of the universe as well as specific cultural elements. In the beginning the scope of this research was a group of students attending the Astronomy assignment in an undergraduate Geography course (UFRN), in which we accomplished participant observation, half-open interviews and the first experimental practices mentioned. After the evaluation of the first data collected from that initial group, we elaborated an academic extension course, Laboratory in Cosmoeducation, and we offered it to teachers of the 1st and 2nd cycles of the fundamental level of the Alceu Amoroso Lima State School, located in the North Zone of Natal. We prized self-experimentation in that course, so that the teachers could enrich their repertoire of personal experiences, stimulating meditative reflections and eventual changes in the ways of conceiving the world and in their pedagogical practice. The transdisciplinary attitude permeated all our educational action, because this approach transcends the boundaries of disciplines, seeking essentially the integral development of the human being. The process has made us realize that the practice of looking at the sky , as a way of reintegrating it into daily life, provokes a process of expansion of the consciousness and of reintegration of the self in a wider level of environmental interrelation. According to the results, the occurrence of conceptual and existential changes of the world vision of the participant teachers was evident, reassuring ourselves of the idea that the interface between astronomy teaching and the practices of transpersonal psychology can contribute to the recovery of a holistic relationship between the human being and the cosmos and to inspire the arising of a more wide-ranging ethics, based on universal, impartial and sustainable values

A formação inicial do professor de química e o uso das novas tecnologias para o ensino: um olhar através de suas necessidades formativas

La disertación, desarrollada en el Programa de PostGraduación en Enseñanza de las Ciencias Naturales y de la Matemática de la UFRN, estudia las necesidades formativas de licenciandos en Química sobre el uso de las nuevas tecnologías de la información y de las comunicaciones (NTIC), en especial, las relacionadas con la utilización de programas computacionales para la enseñanza de la química. En la actual sociedad del conocimiento, se torna imperativo la eclosión de nuevas formas de aprender y de enseñar, que requieren de nuevas concepciones del trabajo pedagógico. En ese sentido, se exige de los profesores el desarrollo de nuevas habilidades y competencias. El presente trabajo está comprometido con la búsqueda de elementos que puedan nortear los procesos formativos de profesores de química con el objetivo de contribuir con una mejor preparación de la formación inicial, tomando en cuenta sus necesidades de formación. Fue utilizado el cuestionario como instrumento de investigación para diagnosticar y caracterizar las necesidades fomativas, buscando establecer correlaciones entre diferentes variables que cacarterizan el estudio, con el fin de establecer semenazas y discrepancias entre las habilidades docentes en estudio y las necesidades formativas. Los analises de los datos tomo elementos de la estadistica descriptivo e inferencial, con analises multivariados, lo que posibilitó identificar las necesidades formativas. Los resultados muestran ue de forma general los licenciandos evaluan como de bajo, el grado de desarrollo de las habilidades para enseñar usando las NTIC, así como manifiestan sentir necesidades formativas en todas las habilidades referentes a esa esfera del trabajo docente

João Cabral de Melo Neto: a estética do avesso

La pieza-poema Morte e Vida severina Auto de natal pernambucano, de João Cabral de Melo Neto, publicada en 1956, es el principal objeto de este estudio, interaccionando con las obras O Cão sem plumas y O rio por la similitud temática entre ellas: el estudio sobre esas obras busca una lectura desvinculada del posicionamiento constructivista y metalingüístico que por tradición configura la obra cabralina, no por negar a la crítica literaria que da respaldo científico, pero con la pretensión de lanzar una nueva mirada dirigida para el concepto de barroco, materia ésta que implica la creación poética a partir de la segunda mitad del siglo XX. Por lo tanto, este trabajo presenta una propuesta de análisis de la poesía de João Cabral a partir del contexto neobarroco. Considerando, sobre todo, los aspectos similares a la temática del barroco, el enfoque recae sobre la influencia de la literatura ibérica por que pasa el poeta João Cabral, así como la temática sobre el conflicto existencial explorado en el texto Morte e Vida severina, y aún, los extractos de lenguaje con significación múltiple que presentan signos metonímicos y metafóricos.