956 resultados para matching


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It is known that the fibrous structure of muscle causes light scattering. This phenomenon occurs due to the refractive index discontinuities located between muscle fibers and interstitial fluid. To study the possibility of reducing light scattering inside muscle, we consider its spectral transmittance evolution during an immersion treatment with an optical clearing solution containing ethanol, glycerol, and distilled water. Our methodology consists of registering spectral transmittance of muscle samples while immersed in that solution. With the spectral data collected, we represent the transmittance evolution for some wavelengths during the treatment applied. Additionally, we study the variations that the treatment has caused on the samples regarding tissue refractive index and mass. By analyzing microscopic photographs of tissue cross section, we can also verify changes in the internal arrangement of muscle fibers caused by the immersion treatment. Due to a mathematical model that we develop, we can explain the variations observed in the studied parameters and estimate the amount of optical clearing agent that has diffused into the tissue samples during the immersion treatment. At the end of the study, we observe and explain the improvement in tissue spectral transmittance, which is approximately 65% after 20 min.

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Crowdsourcing is evolving into powerful outsourcing options for organizations by providing access to the intellectual capital within a vast knowledge community. Innovation brokering services have emerged to facilitate crowdsourcing projects by connecting up companies with potential solution providers within the wider ‘crowd’. Most existing innovation brokering services are primarily aimed at larger organizations, however, Small and Medium Enterprises (SMEs) offer considerable potential for crowdsourcing activity since they are typically the innovation and employment engines in society; they are typically more nimble and responsive to the business environment than the larger companies. SMEs have very different challenges and needs to larger organizations since they have fewer resources, a more limited knowledge and skill base, and immature management practices. Consequently, innovation brokering for SMEs require considerably more support than for larger organizations. This paper identifies the crowdsourcing innovation brokerage facilities needed by SMEs, and presents an architecture that encourages knowledge sharing, development of community, support in mixing and matching capabilities, and management of stakeholders’ risks. Innovation brokering is emerging as a novel business model that is challenging concepts of the traditional value chain and organizational boundaries.

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The study of chemical diffusion in biological tissues is a research field of high importance and with application in many clinical, research and industrial areas. The evaluation of diffusion and viscosity properties of chemicals in tissues is necessary to characterize treatments or inclusion of preservatives in tissues or organs for low temperature conservation. Recently, we have demonstrated experimentally that the diffusion properties and dynamic viscosity of sugars and alcohols can be evaluated from optical measurements. Our studies were performed in skeletal muscle, but our results have revealed that the same methodology can be used with other tissues and different chemicals. Considering the significant number of studies that can be made with this method, it becomes necessary to turn data processing and calculation easier. With this objective, we have developed a software application that integrates all processing and calculations, turning the researcher work easier and faster. Using the same experimental data that previously was used to estimate the diffusion and viscosity of glucose in skeletal muscle, we have repeated the calculations with the new application. Comparing between the results obtained with the new application and with previous independent routines we have demonstrated great similarity and consequently validated the application. This new tool is now available to be used in similar research to obtain the diffusion properties of other chemicals in different tissues or organs.

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

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Optical immersion clearing is a technique that has been widely studied for more than two decades and that is used to originate a temporary transparency effect in biological tissues. If applied in cooperation with clinical methods it provides optimization of diagnosis and treatment procedures. This technique turns biological tissues more transparent through two main mechanisms — tissue dehydration and refractive index (RI) matching between tissue components. Such matching is obtained by partial replacement of interstitial water by a biocompatible agent that presents higher RI and it can be completely reversible by natural rehydration in vivo or by assisted rehydration in ex vivo tissues. Experimental data to characterize and discriminate between the two mechanisms and to find new ones are necessary. Using a simple method, based on collimated transmittance and thickness measurements made from muscle samples under treatment, we have estimated the diffusion properties of glucose, ethylene glycol (EG) and water that were used to perform such characterization and discrimination. Comparing these properties with data from literature that characterize their diffusion in water we have observed that muscle cell membrane permeability limits agent and water diffusion in the muscle. The same experimental data has allowed to calculate the optical clearing (OC) efficiency and make an interpretation of the internal changes that occurred in muscle during the treatments. The same methodology can now be used to perform similar studies with other agents and in other tissues in order to solve engineering problems at design of inexpensive and robust technologies for a considerable improvement of optical tomographic techniques with better contrast and in-depth imaging.

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RESUMO - O processo de comunicação em saúde encontra-se relacionado com a melhoria dos resultados em saúde através da informação, com o objectivo de influenciar indivíduos e comunidades. Os profissionais de saúde, no contexto da prestação de cuidados, necessitam de deter determinadas competências interpessoais e de comunicação no sentido de promover a qualidade e segurança do doente, contribuindo para a diminuição do erro clínico através de uma comunicação eficaz em equipa. Estabelecer uma relação de empatia e confiança com o doente, saber escutar e compreender a sua perspectiva definem-se, entre outras, por capacidades essenciais a estes profissionais, a par de uma comunicação verbal e escrita clara e assertiva, cujo impacto se reflecte também na satisfação do utente. O ensino destas competências é fundamental para habilitar os profissionais a lidar com diversas situações, contribuindo para a excelência técnica e qualidade dos cuidados. A sua avaliação é essencialmente realizada durante a formação académica, a nível internacional, sobre o que a literatura descreve várias metodologias possíveis. O método utilizado com maior frequência consiste na observação directa da interacção entre o aluno e o doente, em contexto real ou simulado, através de uma checklist formada por itens correspondentes a atitudes e comportamentos que avalia a presença das competências necessárias. O desenvolvimento destas competências passa por sensibilizar os profissionais para a sua importância, dar-lhes formação e avaliar, apostando na continuidade da investigação.

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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

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This study sought for etndence of previous CMV infection in patients of a general hospital serving the low income population of Rio de Janeiro. An enzyme immunoassay was used to detect anti-CMV antibodies in 713 typical hospital patients classified into eight different groups. Positive tests were found in 87% of pregnant women, 85% of newborns, 61% of pediatric patients, 77% of adolescent patients, 81% of adult patients, 87% of dialysed transplant candidates, 89% of kidney donors, and 92% of patients after transplantation. Depending of the subgroup studied these results carry different meanings and necessitate different clinical approaches. The risk of congenital disease is probably low in view of the reduced number of pregnant women still susceptible to primary infection. The number of primary infections will also be low in transplant recipients. However, those still susceptible will almost certainly acquire the infection from, their donor. Prophylactic CMV matching in kidney transplantation is not a realistic approach due to the low probability of finding pairs of seronegative donors and recipients.

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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

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Dissertação para obtenção do Grau de Mestre em Genética Molecular e Biomedicina

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

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Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e de Computadores

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The reported productivity gains while using models and model transformations to develop entire systems, after almost a decade of experience applying model-driven approaches for system development, are already undeniable benefits of this approach. However, the slowness of higher-level, rule based model transformation languages hinders the applicability of this approach to industrial scales. Lower-level, and efficient, languages can be used but productivity and easy maintenance seize to exist. The abstraction penalty problem is not new, it also exists for high-level, object oriented languages but everyone is using them now. Why is not everyone using rule based model transformation languages then? In this thesis, we propose a framework, comprised of a language and its respective environment, designed to tackle the most performance critical operation of high-level model transformation languages: the pattern matching. This framework shows that it is possible to mitigate the performance penalty while still using high-level model transformation languages.