29 resultados para Triatomine infection monitoring


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RESTAPIA 2012 - Int. Conf. on Rammed Earth Conservation, Valencia, 21-23 June 2012

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Dissertação para obtenção do Grau de Doutor em Química Sustentável

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática

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Dissertation presented to obtain the Ph.D degree in Biology.

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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 Química e Bioquímica, Especialidade em Engenharia Bioquímica

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During drilling operation, cuttings are produced downhole and must be removed to avoid issues which can lead to Non Productive Time (NPT). Most of stuck pipe and then Bottom-Hole Assembly (BHA) lost events are hole cleaned related. There are many parameters which help determine hole cleaning conditions, but a proper selection of the key parameters will facilitate monitoring hole cleaning conditions and interventions. The aim of Hole Cleaning Monitoring is to keep track of borehole conditions including hole cleaning efficiency and wellbore stability issues during drilling operations. Adequate hole cleaning is the one of the main concerns in the underbalanced drilling operations especially for directional and horizontal wells. This dissertation addresses some hole cleaning fundamentals which will act as the basis for recommendation practice during drilling operations. Understand how parameters such as Flowrate, Rotation per Minute (RPM), Rate of Penetration (ROP) and Mud Weight are useful to improve the hole cleaning performance and how Equivalent Circulate Density (ECD), Torque & Drag (T&D) and Cuttings Volumes coming from downhole help to indicate how clean and stable the well is. For case study, hole cleaning performance or cuttings volume removal monitoring, will be based on real-time measurements of the cuttings volume removal from downhole at certain time, taking into account Flowrate, RPM, ROP and Drilling fluid or Mud properties, and then will be plotted and compared to the volume being drilled expected. ECD monitoring will dictate hole stability conditions and T&D and Cuttings Volume coming from downhole monitoring will dictate how clean the well is. T&D Modeling Software provide theoretical calculated T&D trends which will be plotted and compared to the real-time measurements. It will use the measured hookloads to perform a back-calculation of friction factors along the wellbore.

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Despite the recent progresses in robotics, autonomous robots still have too many limitations to reliably help people with disabilities. On the other hand, animals, and especially dogs, have already demonstrated great skills in assisting people in many daily situations. However, dogs also have their own set of limitations. For example, they need to rest periodically, to be healthy (physically and psychologically), and it is difficult to control them remotely. This project aims to “augment” the Assistance dog, by developing a system that compensates some of the dog weaknesses through a robotic device mounted on the dog harness. This specific study, involved in the COCHISE project, focuses on the development of a system for the monitoring of dogs activity and physiological parameters.

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Malaria, a disease caused by Plasmodium, represents a major health problem with a still disconcertingly high mortality rate (655 000 malaria deaths were estimated by the World Health Organization in 2012), mainly in Africa [1]. After a bite by an infected Anopheles mosquito occurs, Plasmodium sporozoites reach their target organ, the liver, within minutes. After traversing several hepatocytes, the parasite invades a final one and establishes a parasitophorous vacuole, where it replicates exponentially generating thousands of infective merozoites, the red blood cell infectious forms that are released in the blood stream. The liver stage is the first obligatory phase of malaria infection and, although no symptoms are associated with it, it is absolutely crucial to the establishment of a successful infection.(...)

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RESUMO - A investigação no âmbito da infeção por VIH/SIDA tem tido avanços notáveis, nomeadamente no que se refere à evolução da terapêutica antirretroviral, sendo atualmente o único meio de controlar a doença. Nesta área, a compreensão da problemática da adesão torna-se importante para as instituições e para os profissionais de saúde, quer pelas taxas de morbilidade e mortalidade associadas à doença, quer pelos problemas de saúde pública e pelos gastos financeiros das organizações de saúde. A adesão ao regime terapêutico é um conceito que engloba tanto o cumprimento da prescrição medicamentosa, como dos comportamentos promotores de saúde. O presente estudo teve como objetivo identificar como os enfermeiros, a desempenhar funções num serviço de infeciologia, percecionam a adesão à terapêutica antirretroviral, por indivíduos portadores de VIH/SIDA. Participaram neste estudo nove enfermeiras a desempenhar funções no serviço de Medicina 1/Infeciologia/HDI do Hospital Fernando Fonseca, EPE, que reuniam os critérios definidos. Como metodologia para a identificação da perceção dos enfermeiros realizou-se um estudo qualitativo e utilizou-se uma entrevista semi-estruturada. Da análise das entrevistas, resultaram diferentes áreas temáticas. Os resultados obtidos evidenciam a importância atribuída à adesão à terapêutica antirretroviral e demostram que o acompanhamento dos doentes pelos profissionais e instituições de saúde permite o desenvolvimento de estratégias promotoras de adesão. Verifica-se que é ainda necessário percorrer um longo caminho, de forma a se obterem resultados ótimos de adesão. Contudo, os resultados obtidos no presente estudo são um incentivo para o desenvolvimento de estratégias de adesão e para a melhoria da gestão da qualidade.

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Generating personalized movie recommendations to users is a problem that most commonly relies on user-movie ratings. These ratings are generally used either to understand the user preferences or to recommend movies that users with similar rating patterns have rated highly. However, movie recommenders are often subject to the Cold-Start problem: new movies have not been rated by anyone, so, they will not be recommended to anyone; likewise, the preferences of new users who have not rated any movie cannot be learned. In parallel, Social-Media platforms, such as Twitter, collect great amounts of user feedback on movies, as these are very popular nowadays. This thesis proposes to explore feedback shared on Twitter to predict the popularity of new movies and show how it can be used to tackle the Cold-Start problem. It also proposes, at a finer grain, to explore the reputation of directors and actors on IMDb to tackle the Cold-Start problem. To assess these aspects, a Reputation-enhanced Recommendation Algorithm is implemented and evaluated on a crawled IMDb dataset with previous user ratings of old movies,together with Twitter data crawled from January 2014 to March 2014, to recommend 60 movies affected by the Cold-Start problem. Twitter revealed to be a strong reputation predictor, and the Reputation-enhanced Recommendation Algorithm improved over several baseline methods. Additionally, the algorithm also proved to be useful when recommending movies in an extreme Cold-Start scenario, where both new movies and users are affected by the Cold-Start problem.

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Fundação para a Ciência e a Tecnologia

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