1000 resultados para Qualidade da Informação no catálogo


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This is an exploratory descriptive study with quantitative approach, aiming to verify the nurses' knowledge concerning the epidemiological surveillance activities at the Onofre Lopes hospital (HUOL), in Natal, Rio Grande do Norte. The study was performed with 63 nurses from the hospital and the data were collected through a questionnaire. All data were analyzed using descriptive statistics. The results were discussed and organized into four sections: nurses' knowledge on hospital epidemiological surveillance; procedures of the professional nurse through compulsory notification diseases; difficulties found by nurses to register the compulsory notification diseases and suggestions of strategies to joint epidemiological surveillance service with the care practices of nurses. The results showed that 55.55% of nurses know the main action of epidemiological surveillance, compulsory notification of diseases, and that 42.86% reported to the Hospital Epidemiology Center , while 57.14% did not allocate the information for this service. Most nurses found it difficult to perform notification for not knowing its flow; for the surveillance service does not operate 24 hours and for vagueness on diagnostic of disorders. Suggestions of strategies to improve the quality of epidemiological information are focused on training of nurses in hospital epidemiological surveillance; working in partnership with the surveillance center; diffusion of information on surveillance and conducting a daily active search. It comes to conclusion that most nurses don't notify the Surveillance Center about Compulsory Notification Diseases and it wasn't observed the incorporation of integrality values between the hospital surveillance and all nurses, since this principle guides the actions of health services based on dialogue, listening, ethical commitment, sharing of knowledge among professionals of various services and respect towards other professionals. Therefore, the integrality gap in the actions of the nurses studied, as well as in the surveillance service does not mobilize the potential of such services to changes in the sense of achievement of practices aimed at a special attention model that combines preventive and corrective actions, proposed and desired by SUS. Through the difficulties presented, it becomes important to recommend educational processes with strategy to transform the conducts, besides proposing actions under the principle of integrality provide responses agile and effective, as the purpose of VE hospital emergency care by the current epidemic

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Leprosy is a chronic infectious-contagious disease, caused by Mycobacterium leprae, manifested by dermatological and neurological signs and symptoms and has great disabling power. It was marked by a strong stigma throughout its history, since its bearers represented a threat, target of fear and social contempt. Currently, leprosy has treatment and cure, and the need to separate the diseased from family and social environment is no more necessary. However, patients still suffer prejudice and discrimination. This study aimed to understand the social representations of leprosy that interfere modifying mental health of the patient with leprosy in relation to stigma and prejudice. This is a descriptive and exploratory study, with qualitative approach, which involved 22 users of the Special Care Clinic in Infectious Diseases at the Hospital Giselda Trigueiro, located in Natal / RN. They were in use of multidrug therapy in the period of data collection, were of both sexes, aged between 16 and 80 years of age and classified as paucibacillary or multibacillary. The study was approved by the UFRN Ethics in Research Committee. Data collection was performed by filling the questionnaire identification and then for conducting the semi-structured interview, which was recorded. After the end of data collection, there was the construction of tables and graphs, using the Microsoft Excel Start 2010 for proper characterization of the research subjects; and for the treatment of the data obtained from the interviews, was used the Content Analysis and based on the Theory of Social Representations. The subjects studied were mostly male (64%), married or in a stable relationship (68%), concentrated in the age group 50-60 years (36%) and 28-38 years (23%), had at most elementary education (65%) and were low-income (59%). Of the total respondents, 64% were classified as multibacillary, with predominantly dimorfous form, and 50% had disability grade I or II, with different periods of diagnosis. The reports originate two categories: 1. The negative meanings of illness and leprosy; and 2. The positive meanings of illness in leprosy, which were subsequently subdivided into subcategories. Thus, it was found that in the group studied, the social representation of leprosy experiences a moment of transition, as regards the understanding of the disease and its way of experiencing the disease process. Such representation is anchored in the quality of information on the disease of its bearers and aimed at an attempt to face the illness of leprosy as a "normal process". It was found in this study that the transition is due to the work of combating stigma and consequences of leprosy, which is able to gradually transform reality, both regarding the team work of reference, and in relation to a broader character, of actions of health education, which favors overcoming of psychosocial disabilities

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Alimentos e Nutrição - FCFAR

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As indústrias têm buscado constantemente reduzir gastos operacionais, visando o aumento do lucro e da competitividade. Para alcançar essa meta, são necessários, dentre outros fatores, o projeto e a implantação de novas ferramentas que permitam o acesso às informações relevantes do processo de forma precisa, eficiente e barata. Os sensores virtuais têm sido aplicados cada vez mais nas indústrias. Por ser flexível, ele pode ser adaptado a qualquer tipo de medição, promovendo uma redução de custos operacionais sem comprometer, e em alguns casos até melhorar, a qualidade da informação gerada. Como estão totalmente baseados em software, não estão sujeitos a danos físicos como os sensores reais, além de permitirem uma melhor adaptação a ambientes hostis e de difícil acesso. A razão do sucesso destes tipos de sensores é a utilização de técnicas de inteligência computacional, as quais têm sido usadas na modelagem de vários processos não lineares altamente complexos. Este trabalho tem como objetivo estimar a qualidade da alumina fluoretada proveniente de uma Planta de Tratamento de Gases (PTG), a qual é resultado da adsorção de gases poluentes em alumina virgem, via sensor virtual. O modelo que emula o comportamento de um sensor de qualidade de alumina foi criado através da técnica de inteligência computacional conhecida como Rede Neural Artificial. As motivações deste trabalho consistem em: realizar simulações virtuais, sem comprometer o funcionamento da PTG; tomar decisões mais precisas e não baseada somente na experiência do operador; diagnosticar potenciais problemas, antes que esses interfiram na qualidade da alumina fluoretada; manter o funcionamento do forno de redução de alumínio dentro da normalidade, pois a produção de alumina de baixa qualidade afeta a reação de quebra da molécula que contém este metal. Os benefícios que este projeto trará consistem em: aumentar a eficiência da PTG, produzindo alumina fluoretada de alta qualidade e emitindo menos gases poluentes na atmosfera, além de aumentar o tempo de vida útil do forno de redução.

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As indústrias buscam a todo o momento reduzir seus gastos operacionais para aumentar seus lucros e sua competitividade. Uma boa gestão é o fator mais importante, porém uma boa gestão é feita com auxílio de ferramentas que permitam o acesso às informações relevantes para o processo, que tenham bastante influência na tomada de decisões estratégicas, com o menor custo possível. O uso de sensores virtuais tem sido aplicado cada vez mais nas indústrias. Por ser flexível, ele pode ser adaptado a qualquer tipo de medição, promovendo uma redução de custos operacionais sem comprometer, e em alguns casos até melhorar, a qualidade da informação gerada. Como estão totalmente baseados em software, não estão sujeitos a danos físicos como os sensores reais, além de permitirem uma melhor adaptação a ambientes hostis e de difícil acesso. A razão do sucesso destes tipos de sensores é a utilização de técnicas de inteligência computacional, as quais têm sido usadas na modelagem de vários processos não lineares altamente complexos. Atualmente, muitas indústrias já utilizam com sucesso os sensores virtuais, e este trabalho explora a sua utilização, em conjunto com as Redes Neurais Artificiais, em um processo químico em uma importante indústria de alumínio brasileira cujo controle é muito difícil pois é muito difícil extrair medidas da planta dada sua natureza corrosiva e cujas medições exigem certo custo operacional além de estarem sujeitas a ruídos. A aplicação dos sensores virtuais poderá reduzir os intervalos de medições bem como os custos operacionais. Ao longo deste trabalho será apresentada a metodologia de como projetar o sensor virtual utilizando o processo químico como estudo de caso, seguindo a literatura recomendada.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Este trabalho propôs a criação de um suplemento jornalístico infantil com abordagens informativas de temas culturais. A preocupação com a produção de matérias contextualizadas para crianças partiu da percepção da relativa escassez de produtos jornalísticos que tratem os leitores de dez e onze anos como público capaz de compreender textos pertinentes à cultura e que priorizem a informação e a prestação de serviços à infância. Partimos da concepção de que a mídia assume um papel importante para o desenvolvimento cognitivo da infância e que é possível construir um meio de comunicação favorável à formação integral, com abordagens contextualizadas. O resultado do trabalho foi o produto impresso Pingos, colocando os pingos nos is, com 28 páginas em formato A4, como projeto experimental de um jornalismo comprometido com a qualidade da informação para crianças e voltado para o incentivo à cultura

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The Socio Climate Vulnerability Index (IVSC, Portuguese acronym) aims to expose spatially and in a comparative basis, human settlement areas that are more susceptible to the potential risks posed by climate change. To access this vulnerability, the IVSC draws on the aggregation of adaptive capacity and sensitivity indicators (Human Development Index and population density) and an indicator of projected climate change (Regional Climate Change Index-IRCM). The IVSC can be applied to any spatial scale, as long as data in reasonable resolution.is available. Knowing the spatial distribution of vulnerability is an important strategic step in development and implementation of measures that seeks to improve human development and the preparedness of society for future environmental changes. In addition, the production and comparison climate change vulnerability indexes is an important exercise to improve gradually the quality of information provided to decision makers and stakeholders in the management of measures involving climate change adaptation

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The Socio Climate Vulnerability Index (IVSC, Portuguese acronym) aims to expose spatially and in a comparative basis, human settlement areas that are more susceptible to the potential risks posed by climate change. To access this vulnerability, the IVSC draws on the aggregation of adaptive capacity and sensitivity indicators (Human Development Index and population density) and an indicator of projected climate change (Regional Climate Change Index-IRCM). The IVSC can be applied to any spatial scale, as long as data in reasonable resolution.is available. Knowing the spatial distribution of vulnerability is an important strategic step in development and implementation of measures that seeks to improve human development and the preparedness of society for future environmental changes. In addition, the production and comparison climate change vulnerability indexes is an important exercise to improve gradually the quality of information provided to decision makers and stakeholders in the management of measures involving climate change adaptation

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A pesquisa apresenta uma adaptação do modelo matemático de lógica nebulosa. A adaptação é uma alternativa capaz de representar o comportamento de uma variável subjetiva ao longo de um intervalo de tempo, assim como tratar variáveis estáticas (como o modelo computacional existente). Pesquisas realizadas apontam para uma lacuna no tratamento de variáveis dinâmicas (dependência no tempo) e a proposta permite que o contexto em que as variáveis estão inseridas tenha um papel no entendimento e tomada de decisão de problemas com estas características. Modelos computacionais existentes tratam a questão temporal como sequenciador de eventos ou custo, sem considerar a influência de fenômenos passados na condição corrente, ao contrário do modelo proposto que permite uma contribuição dos acontecimentos anteriores no entendimento e tratamento do estado atual. Apenas para citar alguns exemplos, o uso da solução proposta pode ser aplicado na determinação de nível de conforto em transporte público ou auxiliar na aferição de grau de risco de investimentos no mercado de ações. Em ambos os casos, comparações realizadas entre o modelo de lógica nebulosa existente e a adaptação sugerida apontam uma diferença no resultado final que pode ser entendida como uma maior qualidade na informação de suporte à tomada de decisão.

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The increasing economic competition drives the industry to implement tools that improve their processes efficiencies. The process automation is one of these tools, and the Real Time Optimization (RTO) is an automation methodology that considers economic aspects to update the process control in accordance with market prices and disturbances. Basically, RTO uses a steady-state phenomenological model to predict the process behavior, and then, optimizes an economic objective function subject to this model. Although largely implemented in industry, there is not a general agreement about the benefits of implementing RTO due to some limitations discussed in the present work: structural plant/model mismatch, identifiability issues and low frequency of set points update. Some alternative RTO approaches have been proposed in literature to handle the problem of structural plant/model mismatch. However, there is not a sensible comparison evaluating the scope and limitations of these RTO approaches under different aspects. For this reason, the classical two-step method is compared to more recently derivative-based methods (Modifier Adaptation, Integrated System Optimization and Parameter estimation, and Sufficient Conditions of Feasibility and Optimality) using a Monte Carlo methodology. The results of this comparison show that the classical RTO method is consistent, providing a model flexible enough to represent the process topology, a parameter estimation method appropriate to handle measurement noise characteristics and a method to improve the sample information quality. At each iteration, the RTO methodology updates some key parameter of the model, where it is possible to observe identifiability issues caused by lack of measurements and measurement noise, resulting in bad prediction ability. Therefore, four different parameter estimation approaches (Rotational Discrimination, Automatic Selection and Parameter estimation, Reparametrization via Differential Geometry and classical nonlinear Least Square) are evaluated with respect to their prediction accuracy, robustness and speed. The results show that the Rotational Discrimination method is the most suitable to be implemented in a RTO framework, since it requires less a priori information, it is simple to be implemented and avoid the overfitting caused by the Least Square method. The third RTO drawback discussed in the present thesis is the low frequency of set points update, this problem increases the period in which the process operates at suboptimum conditions. An alternative to handle this problem is proposed in this thesis, by integrating the classic RTO and Self-Optimizing control (SOC) using a new Model Predictive Control strategy. The new approach demonstrates that it is possible to reduce the problem of low frequency of set points updates, improving the economic performance. Finally, the practical aspects of the RTO implementation are carried out in an industrial case study, a Vapor Recompression Distillation (VRD) process located in Paulínea refinery from Petrobras. The conclusions of this study suggest that the model parameters are successfully estimated by the Rotational Discrimination method; the RTO is able to improve the process profit in about 3%, equivalent to 2 million dollars per year; and the integration of SOC and RTO may be an interesting control alternative for the VRD process.

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Esta pesquisa tem por objetivo analisar a importância das relações e habilidades interpessoais para o contabilista em seu ambiente de trabalho. Aumenta-se a exigência na qualidade da informação e o contador evolui em seu papel como provedor, tendo que lidar com diferentes situações, agindo como um norteador para o administrador na captação de informações que mostre a situação real da empresa, as possibilidades, demandas e participação no mercado. (SÁ, 2004; MARION, 2009). Serviram de referencial teórico proposições de Iudicibus (2006); Marion (2009) e Sá (2004). Para o desenvolvimento desta dissertação adotou-se uma abordagem qualitativa de cunho exploratório com entrevistas semiestruturadas em profundidade. Constatou-se a importância que o relacionamento interpessoal ocupa nas dimensões de atuação do contador, que precisa saber o que fazer com a informação obtida, entender e colocar num formato mais adequado para os seus usuários, desta forma, as habilidades interpessoais aprimoram os relacionamentos que favorecem a qualidade das informações proporcionando aos usuários da contabilidade a visão da situação real da empresa.

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The aim of the present study was to trace the mortality profile of the elderly in Brazil using two neighboring age groups: 60 to 69 years (young-old) and 80 years or more (oldest-old). To do this, we sought to characterize the trend and distinctions of different mortality profiles, as well as the quality of the data and associations with socioeconomic and sanitary conditions in the micro-regions of Brazil. Data was collected from the Mortality Information System (SIM) and the Brazilian Institute of Geography and Statistics (IBGE). Based on these data, the coefficients of mortality were calculated for the chapters of the International Disease Classification (ICD-10). A polynomial regression model was used to ascertain the trend of the main chapters. Non-hierarchical cluster analysis (K-Means) was used to obtain the profiles for different Brazilian micro-regions. Factorial analysis of the contextual variables was used to obtain the socio-economic and sanitary deprivation indices (IPSS). The trend of the CMId and of the ratio of its values in the two age groups confirmed a decrease in most of the indicators, particularly for badly-defined causes among the oldest-old. Among the young-old, the following profiles emerged: the Development Profile; the Modernity Profile; the Epidemiological Paradox Profile and the Ignorance Profile. Among the oldest-old, the latter three profiles were confirmed, in addition to the Low Mortality Rates Profile. When comparing the mean IPSS values in global terms, all of the groups were different in both of the age groups. The Ignorance Profile was compared with the other profiles using orthogonal contrasts. This profile differed from all of the others in isolation and in clusters. However, the mean IPSS was similar for the Low Mortality Rates Profile among the oldest-old. Furthermore, associations were found between the data quality indicators, the CMId for badly-defined causes, the general coefficient of mortality for each age group (CGMId) and the IPSS of the micro-regions. The worst rates were recorded in areas with the greatest socioeconomic and sanitary deprivation. The findings of the present study show that, despite the decrease in the mortality coefficients, there are notable differences in the profiles related to contextual conditions, including regional differences in data quality. These differences increase the vulnerability of the age groups studied and the health iniquities that are already present.

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Enfoca a educação continuada e a sua relação com a formação profissional do bibliotecário. Seu objetivo é refletir como integrar a capacitação contínua à formação desse profissional no contexto brasileiro. Pois, aspectos de ordem teórico-práticos apontam para a necessidade de maior incorporação de procedimentos metodológicos no fazer bibliotecário. Isto se dá em função de que as operações empíricas têm se tornado insuficientes para garantir a qualidade da informação gerada no âmbito de sistemas de informação. Assim, com base em ações-reflexões a partir desse contexto, identificou-se que necessário se faz adotar programas que possibilitem a capacitação desse profissional na formação-em-serviço, para melhor qualificar o processo de geração, transferência e uso da informação________________________________________________________________________________ABSTRACT Focus the continuous education and its relation with the professional formation of the librarian. Its objective is to reflect as to integrate the continuous qualification to the formation of this professional in the Brazilian context. Therefore, theoretician-practical aspects of order point with respect to the necessity of bigger incorporation of research procedures in making librarian. This if of the one in function of that the empirical operations if have become insufficient to guarantee the quality of the information generated in the scope of information systems. Thus, on the basis of action-reflections from this context, it was identified that necessary if it makes to adopt programs that make possible the qualification of this professional in the formation-in-service, better to characterize the generation process, transference and use of the information