958 resultados para Tuberculosis-Diagnosis


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Comparison-based diagnosis is an effective approach to system-level fault diagnosis. Under the Maeng-Malek comparison model (NM* model), Sengupta and Dahbura proposed an O(N-5) diagnosis algorithm for general diagnosable systems with N nodes. Thanks to lower diameter and better graph embedding capability as compared with a hypercube of the same size, the crossed cube has been a promising candidate for interconnection networks. In this paper, we propose a fault diagnosis algorithm tailored for crossed cube connected multicomputer systems under the MM* model. By introducing appropriate data structures, this algorithm runs in O(Nlog(2)(2) N) time, which is linear in the size of the input. As a result, this algorithm is significantly superior to the Sengupta-Dahbura's algorithm when applied to crossed cube systems. (C) 2004 Elsevier B.V. All rights reserved.

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The diagnosis of thalassaemia in archaeological populations has long been hindered by a lack of pathogonomic features, and the non-specific nature of cribra orbitalia and porotic hyperostosis. In fact, clinical research has highlighted more specific diagnostic criteria for thalassaemia major and intermedia based on changes to the thorax (‘rib-within-a-rib’ and costal osteomas). A recent re-examination of 364 child skeletons from Romano-British Poundbury Camp, Dorset revealed children with general ‘wasting’ of the bones and three children who demonstrated a variety of severe lesions (e.g. zygomatic bone and rib hypertrophy, porotic hyperostosis, rib lesions, osteopenia and pitted diaphyseal shafts) that are inconsistent with dietary deficiency alone, and more consistent with a diagnosis of genetic anaemia. Two of these children displayed rib lesions typical of those seen in modern cases of thalassaemia. The children of Poundbury Camp represent the first cases of genetic anaemia identified in a British archaeological population. As thalassaemia is a condition strongly linked to Mediterranean communities, the presence of this condition in a child from England, found within a mausoleum, suggests that they were born to wealthy immigrant parents living in this small Roman settlement in Dorset. This paper explores the diagnostic criteria for genetic anaemia in the archaeological literature and what its presence in ancient populations can contribute to our knowledge of past human migration.

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The authors describe a learning classifier system (LCS) which employs genetic algorithms (GA) for adaptive online diagnosis of power transmission network faults. The system monitors switchgear indications produced by a transmission network, reporting fault diagnoses on any patterns indicative of faulted components. The system evaluates the accuracy of diagnoses via a fault simulator developed by National Grid Co. and adapts to reflect the current network topology by use of genetic algorithms.

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The hypothesis of a low dimensional martian climate attractor is investigated by the application of the proper orthogonal decomposition (POD) to a simulation of martian atmospheric circulation using the UK Mars general circulation model (UK-MGCM). In this article we focus on a time series of the interval between autumn and winter in the northern hemisphere, when baroclinic activity is intense. The POD is a statistical technique that allows the attribution of total energy (TE) to particular structures embedded in the UK-MGCM time-evolving circulation. These structures are called empirical orthogonal functions (EOFs). Ordering the EOFs according to their associated energy content, we were able to determine the necessary number to account for a chosen amount of atmospheric TE. We show that for Mars a large fraction of TE is explained by just a few EOFs (with 90% TE in 23 EOFs), which apparently support the initial hypothesis. We also show that the resulting EOFs represent classical types of atmospheric motion, such as thermal tides and transient waves. Thus, POD is shown to be an efficient method for the identification of different classes of atmospheric modes. It also provides insight into the non-linear interaction of these modes.

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A tuberculose (TB) é uma doença infecto-contagiosa causada pelo bacilo Mycobacterium tuberculosis e que permanece como um importante problema de saúde pública mundial, sendo a TB pulmonar a forma mais comum de apresentação da doença. O diagnóstico precoce e tratamento adequado são essenciais para a eficácia dos programas públicos de controle da TB. Novos metodologias mais rápidas, sensíveis e específicas, como a reação em cadeia da polimerase (PCR), vem sendo propostas no diagnóstico da doença. O objetivo desse estudo foi avaliar o desempenho de duas PCR, a PCR em tempo real (qPCR) e a Nested PCR em único tubo (STNPCR), em diferentes amostras biológicas, no diagnóstico da tuberculose pulmonar, além de compará-las com as metodologias convencionais (baciloscopia e cultura) e entre si. Para isso foram analisados 125 pacientes que tiveram amostras de sangue (125 amostras de plasma e 116 amostras de PBMC), urina (n=125) e escarro (n=125) coletadas, totalizando a análise de 491 amostras biológicas. Amostras de escarro e urina foram descontaminadas pelo método de Petroff NAOH 4 por cento modificado e semeadas em meio de cultura Lõwenstein-Jensen (LJ), enquanto as amostras de sangue eram separadas em plasma e PBMC. Após processamento, deu-se a extração de DNA através do kit comercial da Qiagen seguida de amplificação pelas duas metodologias de PCR. Para análise estatística calculou-se a sensibilidade, especificidade, valores preditivos positivo e negativo e índice kappa das técnicas. A STNPCR apresentou, em amostras de sangue, sensibilidade de 26,3 por cento e especificidade de 97,7 por cento. Em amostras de urina observou-se uma S = 7,9 por cento e E = 98,9 por cento e em escarro S = 21,1 por cento e E = 98,9 por cento. Quando analisadas as asmotras em paralelo, a sensibilidade da STNPCR foi igual a 44,7 por cento enquanto sua especificidade foi 97,7 por cento. Já a qPCR, em amostras de sangue, obteve sensibilidade igual a 26,3 por cento e especificidade de 95,4 por cento. Em amostras de urina a sensibilidade obtida foi 47,4 por cento e a especificidade 79,3 por cento e, em escarro, S = 36,8 por cento e E = 95,4 por cento. Quando analisada em paralelo, a sensibilidade da qPCR foi 65,8 por cento e a especificidade foi 79,3 por cento. A baciloscopia de escarro apresentou sensibilidade de 41,7 por cento e especificidade de 100 por cento, enquanto as culturas em urina e escarro apresentaram sensibilidade e especificidade, respectivamente, de 10,5 por cento e 100 por cento e 60,5 por cento e 96,6 por cento. Pode-se concluir que a qPCR apresentou melhor desempenho quando comparada à STNPCR e também bom desempenho quando comparada às metodologias convencionais, e que quando analisa-se mais de um tipo de amostras biológica, a eficácia das técnicas é aumentada. Espera-se que com a utilização dessa técnica molecular, seja possível a melhor elucidação dos casos de TB pulmonar, promovendo maior taxa de tratamento dos pacientes e menor risco de transmissão da doença

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The authors discuss an implementation of an object oriented (OO) fault simulator and its use within an adaptive fault diagnostic system. The simulator models the flow of faults around a power network, reporting switchgear indications and protection messages that would be expected in a real fault scenario. The simulator has been used to train an adaptive fault diagnostic system; results and implications are discussed.

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We use contingent valuation (CV) and choice experiment (CE) methods to assess cattle farmers’ attitudes to and willingness to pay (WTP) for a bovine tuberculosis (bTB) cattle vaccine, to help inform vaccine development and policy. A survey questionnaire was administered by means of telephone interviews to a stratified sample of 300 cattle farmers in annually bTB-tested areas in England and Wales. Farmers felt that bTB was a major risk for the cattle industry and that there was a high risk of their cattle getting the disease. The CE estimate produced a mean WTP of £35 per animal per single dose for a vaccine that is 90% effective at reducing the risk of a bTB breakdown and an estimated £55 for such a vaccine backed by 100% insurance of loss if a breakdown should occur. The CV estimate produced a mean WTP of nearly £17 per dose/per animal/per year for a vaccine (including 100% insurance) which, given the average lifespan of cattle, is comparable to the CE estimate. These WTP estimates are substantially higher than the expected cost of a vaccine which suggests that farmers in high risk bTB ‘hotspot’ areas perceive a substantial net benefit from buying the vaccine.

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The Functional Rating Scale Taskforce for pre-Huntington Disease (FuRST-pHD) is a multinational, multidisciplinary initiative with the goal of developing a data-driven, comprehensive, psychometrically sound, rating scale for assessing symptoms and functional ability in prodromal and early Huntington disease (HD) gene expansion carriers. The process involves input from numerous sources to identify relevant symptom domains, including HD individuals, caregivers, and experts from a variety of fields, as well as knowledge gained from the analysis of data from ongoing large-scale studies in HD using existing clinical scales. This is an iterative process in which an ongoing series of field tests in prodromal (prHD) and early HD individuals provides the team with data on which to make decisions regarding which questions should undergo further development or testing and which should be excluded. We report here the development and assessment of the first iteration of interview questions aimed to assess "Anger and Irritability" and "Obsessions and Compulsions" in prHD individuals.