982 resultados para Key cutting algorithm


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PURPOSE: To report the experience of a radiology department in the use of computed tomography guided biopsies of mediastinal lesions with fine and cutting needles, describing the differences between them. The results of adequacy of the sample and histologic diagnoses are presented according to the type of needle used. METHODS: We present a retrospective study of mediastinal biopsies guided by computed tomography performed from January 1993 to December 1999. Eighty-six patients underwent mediastinal biopsy in this period, 37 with cutting needles, 38 with fine needles, and 11 with both types (total of 97 biopsies). RESULTS: In most cases, it was possible to obtain an adequate sample (82.5%) and specific diagnosis (67.0%). Cutting-needle biopsy produced a higher percentage of adequate samples (89.6% versus 75.5%, P = 0.068) and of specific diagnosis (81.3% versus 53.1%, P = 0.003) than fine-needle biopsy. There were no complications that required intervention in either group. CONCLUSION: Because they are practical, safe, and can provide accurate diagnoses, image-guided biopsies should be considered the procedure of choice in the initial exploration of patients with mediastinal masses. In our experience, cutting needles gave higher quality samples and diagnostic rates. We recommend the use of cutting needles as the preferred procedure.

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RESUMO: A infeção é frequente durante a doença crítica, quer como causa da doença crítica quer como complicação da sua evolução. Paradoxalmente, os avanços da medicina moderna aumentaram eles próprios o risco de infeção, ao permitir a sobrevida até idades avançadas, ao criar um novo grupo de doentes imunodeprimidos, nomeadamente doentes tratados com fármacos que interferem com as suas defesas naturais (corticóides, citostáticos), ao aumentar o tempo de vida de hospedeiros com comorbilidades debilitantes. Os antibióticos são um dos elos essenciais no tratamento da infeção. Contudo o seu uso também promove a seleção e crescimento de bactérias resistentes. Para além disso as doses convencionais de antibióticos foram selecionadas numa altura em que a resistência era um fenómeno raro e podem não ser atualmente as mais adequadas. Existe hoje muita evidência acumulada que os doentes críticos sofrem alterações da sua farmacocinética (PK) que podem facilitar a ocorrência de falência terapêutica ou de toxicidade tanto por sub como por sobredosagem de antibióticos. Essas alterações são complexas e difíceis de estudar. Finalmente, também a farmacodinâmica (PD) dos antibióticos pode estar alterada nesta população, podendo haver necessidade de ajustar os alvos terapêuticos de forma individual. O objetivo deste trabalho foi investigar a relação entre a terapêutica antibiótica, as suas características PK e PD, a carga bacteriana e o prognóstico dos doentes críticos. O plano de investigação incluiu: 1. Dados da epidemiologia portuguesa de doentes críticos com infeção; 2. Avaliação da relação entre a carga bacteriana, o tempo até ao início do tratamento antibiótico e o prognóstico dos doentes críticos; 3. Avaliação da evolução da PK durante o tratamento da infeção; 4. Um estudo multicêntrico para avaliação da eficácia da terapêutica com um β- lactâmico doseado de acordo com a relação PK/PD. Na introdução é descrita a importância dos antibióticos, a sua origem e o problema crescente das resistências bacterianas relacionadas com o seu emprego e abuso. É salientada a importância de racionalizar a posologia, de acordo com os conceitos de PK e de PD. No Capítulo 1 são apresentados dados de epidemiologia portuguesa de infeção em doentes críticos, sobretudo retirados de dois estudos prospetivos, observacionais, os quais incluíram mais de 50% da capacidade de internamento em cuidados intensivos existente em Portugal. No Capítulo 2 são descritos os conceitos de PK e as suas alterações nos doentes críticos. De seguida são revistos os conceitos de PD de antibióticos e a sua aplicação a esta população, em particular durante as infeções graves (Capítulo 3). Nos capítulos seguintes são aprofundadas estas alterações da PK nos doentes críticos e as suas causas, de forma a destacar a importância da monitorização da concentração dos antibióticos. São apresentados os dados duma revisão sistemática de PK de antibóticos nesta população (Capítulo 4), pormenorizadas as alterações da PD que comprometem a eficácia da terapêutica antibiótica, facilitam o desenvolvimento de resistências e podem levar a falência terapêutica (Capítulo 5). Consequentemente a compreensão global destas alterações, da sua relevância clínica e a revisão da evidência disponível facilitou o desenvolvimento do próprio plano global de investigação (Capítulos 6 e 7). No Capítulo 6.1 são descritos os antibióticos tempo-dependente e a importância de aumentar o seu tempo de perfusão. Foi desenhado um estudo multicêntrico para comparar a eficácia e segurança da perfusão contínua da piperacilina tazobactam (um antibiótico β-lactâmico associado a um inibidor de β-lactamases) com a mesma dose do antibiótico, administrado em dose convencional, intermitente. A importância de dosear corretamente os antibióticos concentração-dependente foi também avaliada num estudo a primeira dose dos aminoglicosídeos (Capítulo 6.2). Outras estratégias para melhorar os resultados assistenciais dos doentes infetados são abordadas no Capítulo 7, em particular a importância da terapêutica antibiótica precoce, a avaliação da carga bacteriana e a compreensão da variação da PK ao longo do tratamento da infeção. Foi desenvolvido um algoritmo de abordagem terapêutica que incluiu estas alterações da PK e da PD nos doentes críticos. Finalmente no Capítulo 8 são descritos mecanismos de desenvolvimento das resistências bacterianas bem como estratégias para a sua abordagem. O Capítulo final (Capítulo 9) aponta um plano para futuras áreas de trabalho. O elemento chave identificado neste trabalho de investigação é o reconhecimento da variabilidade significativa da PK dos antibióticos durante a doença crítica, a qual condiciona a sua posologia. Estas alterações estão relacionadas com a própria gravidade da doença e tendem a diminuir ao longo do seu tratamento. No entanto nem a gravidade da doença nem as características individuais as permitem prever de forma aceitável pelo que a utilização duma posologia universal, independente da situação clínica concreta, pode ser inadequada. As estratégias para melhorar os resultados assistenciais dos doentes críticos infetados devem ser baseadas na individualização da posologia antibiótica de acordo com os princípios da PK e da PD, preferencialmente apoiadas em doseamentos da sua concentração. ------------------------------------ ABSTRACT: Infection commonly occurred during critical illness, either as a cause or complicating the course of the disease. Advances in medicine had paradoxically increase the risk of infection, both by improving survival to older ages and by introducing a new group of immunosuppressed patients, those who are treated with drugs that interfere with their natural defenses (corticosteroids, cytostatics) and those who survived longer with aggressive diseases. Antibiotics are of paramount importance for treating infection. However the use of these drugs also promote the selection and growth of resistant bacteria. Furthermore conventional antibiotic doses were calculated for less severe patients during a time when resistance was rare. Nowadays there is increasing evidence that critically ill patients experiment altered pharmacokinetics (PK) that may lead to therapeutic failure and/or drug toxicity. Equally, such PK alterations are complex and challenging to investigate. Finally pharmacodynamics (PD) may also be different in this population and antibiotic targets may need to be tailored to the individual patient. The aim of this research was to investigate the relationship between antibiotic therapy, its PK and PD, bacterial burden and critically ill patients outcomes. The research plan comprised of: 1. Epidemiological portuguese data of critically ill infected patients; 2. Relationship between burden of bacteria, time until the start of antibiotics and patient outcomes; 3. Evaluation of PK during treatment of infection; 4. A multicentre study evaluating PK guided β-lactam therapy. The introductory chapter outlines the importance of antibiotics, its origins, the problem of increasing bacteria resistance, related to its use and overuse and the importance of rational drug dosing using PK and PD concepts. In Chapter 1 portuguese epidemiological data of infections in critically ill patients is presented, mostly coming from two prospective observational studies, encompassing more than 50% of critically ill beds available in Portugal. Chapter 2 describes the concepts of PK and the changes occurring in critically ill patients. This is followed by a review of the concepts of PD of antibiotics and its application to this population, especially during severe infections (Chapter 3). In the following chapter these changes in antibiotics PK in critical illness are and its causes are detailed, to outline the importance of therapeutic drug monitoring. Data on a systematic review of antibiotics PK in those patients is provided (Chapter 4). The following chapter (Chapter 5) elucidates important changes in PD, that compromises antibiotic therapy, facilitate the occurrence of resistance and may lead to therapeutic failure. Thus, an understanding of the clinical problem and available evidence facilitated the development of a comprehensive research plan (Chapter 6 and Chapter 7). Chapter 6.1 describes time-dependent antibiotics and the importance of extending its perfusion time. A multicenter study was designed to compare the continuous infusion of piperacillin tazobactam (a β-lactam antibiotic) with the same daily dose, prescribed in a conventional, intermittent dose. The importance of correct dosing of antibiotics was also assessed through a study addressing aminoglycoside (a concentration-dependent antibiotic) therapy (Chapter 6.2), focusing on its first dose. Strategies to improve severe infected patients outcomes were addressed in Chapter 7, namely the importance of early antibiotic therapy, assessing the burden of bacteria and understanding changes in antibiotic concentration during the course of infection. An algorithm to include all the described changes in both PK and PD of critically ill patients was developed. Finally in Chapter 8 mechanisms of the increasing resistance of bacteria are described and strategies to address that problem are proposed. The closing chapter (Chapter 9) lays a roadmap for future work. The key finding of this research is the significant variability of the antibiotics PK during critical illness, which makes dosing a challenging issue. These changes are related to the severity of the infection itself and improve through the course of the disease. However neither disease severity nor individual characteristics are useful to predict PK changes. Therefore, the use of a universal dose approach, regardless of the individual patient, may not be the best approach. Strategies to improve patients’ outcomes should be based on tailoring antibiotics to the individual patient, according to PK and PD principles, preferentially supported by therapeutic drug monitoring.

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Geochemical and geochronological analyses of samples of surficial Acre Basin sediments and fossils indicate an extensive fluvial-lacustrine system, occupying this region, desiccated slowly during the last glacial cycle (LGC). This research documents direct evidence for aridity in western Amazonia during the LGC and is important in establishing boundary conditions for LGC climate models as well as in correlating marine and continental (LGC) climate conditions.

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Ship tracking systems allow Maritime Organizations that are concerned with the Safety at Sea to obtain information on the current location and route of merchant vessels. Thanks to Space technology in recent years the geographical coverage of the ship tracking platforms has increased significantly, from radar based near-shore traffic monitoring towards a worldwide picture of the maritime traffic situation. The long-range tracking systems currently in operations allow the storage of ship position data over many years: a valuable source of knowledge about the shipping routes between different ocean regions. The outcome of this Master project is a software prototype for the estimation of the most operated shipping route between any two geographical locations. The analysis is based on the historical ship positions acquired with long-range tracking systems. The proposed approach makes use of a Genetic Algorithm applied on a training set of relevant ship positions extracted from the long-term storage tracking database of the European Maritime Safety Agency (EMSA). The analysis of some representative shipping routes is presented and the quality of the results and their operational applications are assessed by a Maritime Safety expert.

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Over a seven year period from 1991 to 1997, 22 species of tiger beetles, representing nine genera, were recorded near Manaus, Brazil. In the Whitewaterfloodplains along the Rio Solimões-Amazonas (Ilha de Marchantaria), three diurnal species inhabit inundation forests and six species (two diurnal, four nocturnal) live in open areas. Data on their natural history and adaptation to living conditions in floodplains are presented. Fifteen species were located on non-flooded uplands (Reserva Florestal A. Ducke). Five diurnal species inhabit the forest floor, two species are canopy dwellers, and eight species (seven diurnal, one nocturnal) live in open areas on whitesand or laterite. Only one species, Pentacomia lacordairei, was found in both floodplain and upland forests. A key to the larvae of tiger beetle genera located near Manaus is presented.

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The present paper reports the precipitation process of Al3Sc structures in an aluminum scandium alloy, which has been simulated with a synchronous parallel kinetic Monte Carlo (spkMC) algorithm. The spkMC implementation is based on the vacancy diffusion mechanism. To filter the raw data generated by the spkMC simulations, the density-based clustering with noise (DBSCAN) method has been employed. spkMC and DBSCAN algorithms were implemented in the C language and using MPI library. The simulations were conducted in the SeARCH cluster located at the University of Minho. The Al3Sc precipitation was successfully simulated at the atomistic scale with the spkMC. DBSCAN proved to be a valuable aid to identify the precipitates by performing a cluster analysis of the simulation results. The achieved simulations results are in good agreement with those reported in the literature under sequential kinetic Monte Carlo simulations (kMC). The parallel implementation of kMC has provided a 4x speedup over the sequential version.

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The MAP-i doctoral program of the Universities of Minho, Aveiro and Porto

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Tese de Doutoramento em Engenharia de Tecidos, Medicina Regenerativa e Células Estaminais.

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Wireless body sensor networks (WBSNs) constitute a key technology for closing the loop between patients and healthcare providers, as WBSNs provide sensing ability, as well as mobility and portability, essential characteristics for wide acceptance of wireless healthcare technology. However, one important and difficult aspect of WBSNs is to provide data transmissions with quality of service, among other factors due to the antennas being small size and placed close to the body. Such transmissions cannot be fully provided without the assumption of a MAC protocol that solves the problems of the medium sharing. A vast number of MAC protocols conceived for wireless networks are based on random or scheduled schemes. This paper studies firstly the suitability of two MAC protocols, one using CSMA and the other TDMA, to transmit directly to the base station the signals collected continuously from multiple sensor nodes placed on the human body. Tests in a real scenario show that the beaconed TDMA MAC protocol presents an average packet loss ratio lower than CSMA. However, the average packet loss ratio is above 1.0 %. To improve this performance, which is of vital importance in areas such as e-health and ambient assisted living, a hybrid TDMA/CSMA scheme is proposed and tested in a real scenario with two WBSNs and four sensor nodes per WBSN. An average packet loss ratio lower than 0.2 % was obtained with the hybrid scheme. To achieve this significant improvement, the hybrid scheme uses a lightweight algorithm to control dynamically the start of the superframes. Scalability and traffic rate variation tests show that this strategy allows approximately ten WBSNs operating simultaneously without significant performance degradation.

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The artificial fish swarm algorithm has recently been emerged in continuous global optimization. It uses points of a population in space to identify the position of fish in the school. Many real-world optimization problems are described by 0-1 multidimensional knapsack problems that are NP-hard. In the last decades several exact as well as heuristic methods have been proposed for solving these problems. In this paper, a new simpli ed binary version of the artificial fish swarm algorithm is presented, where a point/ fish is represented by a binary string of 0/1 bits. Trial points are created by using crossover and mutation in the different fi sh behavior that are randomly selected by using two user de ned probability values. In order to make the points feasible the presented algorithm uses a random heuristic drop item procedure followed by an add item procedure aiming to increase the profit throughout the adding of more items in the knapsack. A cyclic reinitialization of 50% of the population, and a simple local search that allows the progress of a small percentage of points towards optimality and after that refines the best point in the population greatly improve the quality of the solutions. The presented method is tested on a set of benchmark instances and a comparison with other methods available in literature is shown. The comparison shows that the proposed method can be an alternative method for solving these problems.

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The Electromagnetism-like (EM) algorithm is a population- based stochastic global optimization algorithm that uses an attraction- repulsion mechanism to move sample points towards the optimal. In this paper, an implementation of the EM algorithm in the Matlab en- vironment as a useful function for practitioners and for those who want to experiment a new global optimization solver is proposed. A set of benchmark problems are solved in order to evaluate the performance of the implemented method when compared with other stochastic methods available in the Matlab environment. The results con rm that our imple- mentation is a competitive alternative both in term of numerical results and performance. Finally, a case study based on a parameter estimation problem of a biology system shows that the EM implementation could be applied with promising results in the control optimization area.

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In this paper, we propose an extension of the firefly algorithm (FA) to multi-objective optimization. FA is a swarm intelligence optimization algorithm inspired by the flashing behavior of fireflies at night that is capable of computing global solutions to continuous optimization problems. Our proposal relies on a fitness assignment scheme that gives lower fitness values to the positions of fireflies that correspond to non-dominated points with smaller aggregation of objective function distances to the minimum values. Furthermore, FA randomness is based on the spread metric to reduce the gaps between consecutive non-dominated solutions. The obtained results from the preliminary computational experiments show that our proposal gives a dense and well distributed approximated Pareto front with a large number of points.

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This paper presents a single-phase Series Active Power Filter (Series APF) for mitigation of the load voltage harmonic content, while maintaining the voltage on the DC side regulated without the support of a voltage source. The proposed series active power filter control algorithm eliminates the additional voltage source to regulate the DC voltage, and with the adopted topology it is not used a coupling transformer to interface the series active power filter with the electrical power grid. The paper describes the control strategy which encapsulates the grid synchronization scheme, the compensation voltage calculation, the damping algorithm and the dead-time compensation. The topology and control strategy of the series active power filter have been evaluated in simulation software and simulations results are presented. Experimental results, obtained with a developed laboratorial prototype, validate the theoretical assumptions, and are within the harmonic spectrum limits imposed by the international recommendations of the IEEE-519 Standard.

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Dissertação de mestrado em Engenharia Humana