806 resultados para Interacção pessoa-máquina


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This study aims to understand the significance of palliative care for the elder health care professionals working in primary health care. Descriptive study of qualitative approach. Conducted in three health units of the Family and a core of support for Health, the Felipe Camarão neighborhood, District of Natal Health West, RN. Of the 25 participants, 19 are professionals of the Family Health Strategy and six of the Center for Support to Health, the majority being women, with minimal professional work experience, a year in primary health care. The study was approved by the Ethics Committee of the Federal University of Rio Grande do Norte, under CAAE no. 43895815.4.0000.5537. There were individual interviews between July and September 2015, with the use of questionnaire containing open and closed questions on the topic of study. Our results were recorded in MP4 and transcribed into written language, and analyzed using the open coding process medium in which the categories were interpreted and identified, followed by axial coding, where categories were developed and systematically related. Three categories emerged: enhancement of elder health professionals in palliative care, behavioral health professionals across care in palliative care in primary care and disjointed Meaning between palliative care and health professionals. The categories were interpreted and analyzed by the theoretical framework of social phenomenology of Alfred Schütz. Regarding the valuation of subjective perception of professionals, it is clear the issue of the complexity of multiple relationships through various aspects of his central task: focus a philosophy of the world's reality, namely a phenomenology of natural attitude; Before the professional behavior were identified: the discovery and depth of assumptions through the structure, and meaning in a common sense, and at the meaning of the disconnection between the health professionals-including that reality imminent can be represented by individuality special interest of the experience. It follows that health professionals understand there is a difficulty facing the assistance in palliative care to the elderly in primary care, and this difficulty, characterized by the complexity of social interactions across the joint teamwork. Although, I believe that the articulation between the teams, work and family, is essential for the subsequent improvement of care in palliative care favoring the health context surrounding the Elder.

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Objective: To evaluate the planning and quality of plaster models for fabricati on of removable parti al dentures received from three commercial prosthodonti c laboratories located in the city of João Pessoa, PB, Brazil, which perform the casting procedures in their facilities. Methods: Forty 40 plaster models were photographed per laboratory, totalizing 120 models. The evaluation was performed using two questi onnaires, one designed for the dental prosthesis technicians, and another applied by the investigator for the visual evaluati on of the models. Data were analyzed using the SPSS soft ware version 13.0. Results: Ninety-two (76.7%) models did not present planning. In addition, no model presented references of insertion plane or guide pins. Calculati on of the mouth preparati on index (MPI) to evaluate the distribution of the oclusal and cingulum abutments or rests showed that 86 (71.7%) models were classifi ed as poor, 23 (19.2%) models as good and only 11 (9,.2%) models as acceptable. Defects were found in 102 (85%) models. Conclusion: The prosthodontists are not preparing the mouth of their pati ents, neglecti ng the planning of removable partial dentures, and passing this responsibility to the dental prosthesis technicians. In addition, the quality of the models sent to the laboratories was unsatisfactory.

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Objective: To evaluate the planning and quality of plaster models for fabricati on of removable parti al dentures received from three commercial prosthodonti c laboratories located in the city of João Pessoa, PB, Brazil, which perform the casting procedures in their facilities. Methods: Forty 40 plaster models were photographed per laboratory, totalizing 120 models. The evaluation was performed using two questi onnaires, one designed for the dental prosthesis technicians, and another applied by the investigator for the visual evaluati on of the models. Data were analyzed using the SPSS soft ware version 13.0. Results: Ninety-two (76.7%) models did not present planning. In addition, no model presented references of insertion plane or guide pins. Calculati on of the mouth preparati on index (MPI) to evaluate the distribution of the oclusal and cingulum abutments or rests showed that 86 (71.7%) models were classifi ed as poor, 23 (19.2%) models as good and only 11 (9,.2%) models as acceptable. Defects were found in 102 (85%) models. Conclusion: The prosthodontists are not preparing the mouth of their pati ents, neglecti ng the planning of removable partial dentures, and passing this responsibility to the dental prosthesis technicians. In addition, the quality of the models sent to the laboratories was unsatisfactory.

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Based on the theoretical and methodological presuppositions of the theory of language variation and change (cf. WEINREICH; LABOV; HERZOG, 2006 [1968]), it is described and analyzed in this article the process of variation/change concerning the second person possessive pronouns in letters from readers of Brazilian newspapers from the XIX and XX centuries. These letters feature a portrait of the Brazilian press from the South (Santa Catarina), Southeast (Rio de Janeiro) and Northeast (Bahia and Rio Grande do Norte) regions in each century and are part of the Project for Brazilian Portuguese History‘s (PHPB) printed common minimal corpus. The point of departure of this work is the idea that the use of variant forms of expressing second person possessive pronouns – teu and seu – results from the interaction characterizing the varied social roles performed by the letters‘ senders. Arranging communicative units, which gather elements/features denoting time and space, conditioned and determined by socio-historical and cultural aspects, the readers‘ letters, turn out to be a promising research field under the light of this paper. More specifically, In the row of presented results in studies about the pronominal system in the diachroneity of/in Brazilian Portuguese (PB) (FARACO, 2002; LORENGIAN-PENKAL, 2007; CALLOU; LOPES, 2003; LOPES; DUARTE, 2003; MENON, 2005; ARDUIN; COELHO, 2006; LOPES, 2009; MARCOTULIO, 2010), the results featured in here point at different usages of the possessives, noticing the coexistence of the forms teu/tua and seu/sua strongly conditioned by the socio-discursive nature of the readers‘ letters in the course of the centuries and through different regions.

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Based on the theoretical and methodological presuppositions of the theory of language variation and change (cf. WEINREICH; LABOV; HERZOG, 2006 [1968]), it is described and analyzed in this article the process of variation/change concerning the second person possessive pronouns in letters from readers of Brazilian newspapers from the XIX and XX centuries. These letters feature a portrait of the Brazilian press from the South (Santa Catarina), Southeast (Rio de Janeiro) and Northeast (Bahia and Rio Grande do Norte) regions in each century and are part of the Project for Brazilian Portuguese History‘s (PHPB) printed common minimal corpus. The point of departure of this work is the idea that the use of variant forms of expressing second person possessive pronouns – teu and seu – results from the interaction characterizing the varied social roles performed by the letters‘ senders. Arranging communicative units, which gather elements/features denoting time and space, conditioned and determined by socio-historical and cultural aspects, the readers‘ letters, turn out to be a promising research field under the light of this paper. More specifically, In the row of presented results in studies about the pronominal system in the diachroneity of/in Brazilian Portuguese (PB) (FARACO, 2002; LORENGIAN-PENKAL, 2007; CALLOU; LOPES, 2003; LOPES; DUARTE, 2003; MENON, 2005; ARDUIN; COELHO, 2006; LOPES, 2009; MARCOTULIO, 2010), the results featured in here point at different usages of the possessives, noticing the coexistence of the forms teu/tua and seu/sua strongly conditioned by the socio-discursive nature of the readers‘ letters in the course of the centuries and through different regions.

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The classifier support vector machine is used in several problems in various areas of knowledge. Basically the method used in this classier is to end the hyperplane that maximizes the distance between the groups, to increase the generalization of the classifier. In this work, we treated some problems of binary classification of data obtained by electroencephalography (EEG) and electromyography (EMG) using Support Vector Machine with some complementary techniques, such as: Principal Component Analysis to identify the active regions of the brain, the periodogram method which is obtained by Fourier analysis to help discriminate between groups and Simple Moving Average to eliminate some of the existing noise in the data. It was developed two functions in the software R, for the realization of training tasks and classification. Also, it was proposed two weights systems and a summarized measure to help on deciding in classification of groups. The application of these techniques, weights and the summarized measure in the classier, showed quite satisfactory results, where the best results were an average rate of 95.31% to visual stimuli data, 100% of correct classification for epilepsy data and rates of 91.22% and 96.89% to object motion data for two subjects.

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The objective of this work is to use algorithms known as Boltzmann Machine to rebuild and classify patterns as images. This algorithm has a similar structure to that of an Artificial Neural Network but network nodes have stochastic and probabilistic decisions. This work presents the theoretical framework of the main Artificial Neural Networks, General Boltzmann Machine algorithm and a variation of this algorithm known as Restricted Boltzmann Machine. Computer simulations are performed comparing algorithms Artificial Neural Network Backpropagation with these algorithms Boltzmann General Machine and Machine Restricted Boltzmann. Through computer simulations are analyzed executions times of the different described algorithms and bit hit percentage of trained patterns that are later reconstructed. Finally, they used binary images with and without noise in training Restricted Boltzmann Machine algorithm, these images are reconstructed and classified according to the bit hit percentage in the reconstruction of the images. The Boltzmann machine algorithms were able to classify patterns trained and showed excellent results in the reconstruction of the standards code faster runtime and thus can be used in applications such as image recognition.

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Variable reluctance motors have been increasingly used as an alternative for variable speed and high speed drives in many industrial applications, due to many advantages like the simplicity of construction, robustness, and low cost. The most common applications in recent years are related to aeronautics, electric and hybrid vehicles and wind power generation. This paper explores the theory, operation, design procedures and analysis of a variable reluctance machine. An iterative design methodology is introduced and used to design a 1.25 kW prototype. For the analysis of the machine two methods are used, an analytical method and the finite element simulation. The results obtained by both methods are compared. The results of finite element simulation are used to determine the inductance profiles and torque of the prototype. The magnetic saturation is examined visually and numerically in four critical points of the machine. The data collected in the simulation allow the verification of design and operating limits for the prototype. Moreover, the behavior of the output quantities is analyzed (inductance, torque and magnetic saturation) by variation of physical dimensions of the motor. Finally, a multiobjective optimization using Differential Evolution algorithms and Genetic Algorithms for switched reluctance machine design is proposed. The optimized variables are rotor and stator polar arcs, and the goals are to maximize the average torque, the average torque per copper losses and the average torque per core volume. Finally, the initial design and optimized design are compared.

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A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.

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A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.

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Os recentes desenvolvimentos na saúde, sociedade e tecnologia, têm conduzido a novas formas de estar. Encarar hoje a doença oncológica (DO) é enfrentar um desafio. A comunicação, também sofreu evolução e a Internet assume um espaço crescente na sociedade. O blogue revolucionou a partilha de experiências, como é o caso da vivência da DO, podendo ser gerador de um processo de construção de ajuda mútua. Emergiu a questão: Quais os bloguitas mais ativos e dominantes numa rede de pessoas com doença oncológica com blogue? Este artigo tem como objetivos: Identificar as pessoas com DO com blogue; Identificar as pessoas mais ativas e as pessoas dominantes na rede, recorrendo à Análise Estrutural da Rede Social. Para selecionar a amostra recorreu-se ao método de amostragem não probabilística, intencional, em bola de neve. A rede encontrada constitui-se por 32 blogues, com 1602 ligações (720 com pessoas com DO e 434 na rede), dos quais foram selecionados 17 blogues. A rede estudada tem uma boa densidade (0,438), pelo que a informação se difunde com facilidade entre os nós, cujos atores têm altos níveis de capital social.

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O objectivo deste estudo consiste em avaliar o desporto adaptado como factor de integração social da pessoa com deficiência motora, nomeadamente dos atletas praticantes no Centro de Medicina de Reabilitação da Região Centro - Rovisco Pais (CMRRC-RP), baseando-se nos princípios orientadores de uma política de desporto para todos. Assim, a trajectória do desporto adaptado e sua importância aos níveis de integração social individual e/ou colectivo das pessoas com deficiência motora permite compreender e analisar os factores intervenientes na integração de pessoas com deficiências, tendo em linha de conta os programas de desporto adaptado promovidos pelas políticas públicas em vigor e sua receptividade pelos praticantes, identificando os obstáculos ou constrangimentos que se colocam para a prática de desporto adaptado. Neste estudo qualitativo, os resultados obtidos através das 12 entrevistas realizadas aos atletas praticantes de desporto adaptado no CMRRC-RP, sugerem que o desporto adaptado está intrinsecamente ligado ao domínio da saúde e da reabilitação. Os principais resultados sublimam que o desporto adaptado desenvolvido no CMRRC-RP pressupõe uma medida efectiva de aplicação de política social de direito, reconhecendo o papel do desporto como um meio de integração social da pessoa com deficiência motora. Observam-se ainda, inúmeros efeitos com a prática do desporto adaptado a vários níveis considerando-se a reabilitação como um processo físico, psicológico, social, vocacional e educacional, compatível com o seu deficit fisiológico ou anatómico, limitações ambientais, desejos e planos de vida.

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El objetivo del presente trabajo es el diseño de una máquina para ensayos de Creep, con capacidad de aplicar carga variable. Se busca una máquina liviana, desmontable y fácilmente transportable entre laboratorios. El diseño de la máquina parte de una ingeniería básica, pasando por una etapa de detalle y finalizando en la fabricación y montaje de la misma. Se incluye en el diseño un sistema de adquisición y control de carga. Se diseñó y construyó una máquina accionada por resorte capaz de aplicar 5 kN. Se evalúa su respuesta ante distintos programas de carga. El control de carga es capaz de seguir referencias con evolución suave en el tiempo sin mayores dificultades y mantener la carga constante durante intervalos largos de tiempo. La adquisición de datos se realiza mediante un módulo QuantumX y transductores de desplazamiento y carga HBM.