Intrusion tolerant routing with data consensus in wireless sensor networks

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Estimating data divergence in cloud computing storage systems

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Biodemes and zymodemes of Trypanosoma cruzi strains: correlations with clinical data and experimental pathology

With the objective of establishing biological and biochemical characteristics of a significant number of Trypanosoma cruzi strains from different geographical areas, 138 strains isolated from naturally infected humans, triatomine or vertebrate hosts were studied; 120 were isolated from different areas of Brazil and 18 from other South and Central American countries. Inocula from triatomine or culture forms were injected into suckling Swiss mice, followed by passages into mice 10 to 12 g. Biological characters and histopathological study permitted the inclusion of the strains into three Types or biodemes: I, II, III. Isoenzymic analysis confirmed a correspondence between the biodemes and zymodemes : Type I and Z2b, Type II and Z2, Type III and Z1. Results showed the ubiquitary distribution of the several types of strains. The predominance of the same Type and zymodeme in one geographical area was confirmed : Type II strains among the human cases from eastern Bahia and east of Goiás; Type III strains from humans of north Brazil and Central America and from silvatic vectors or vertebrates from other geographical areas. The biological types of strains correlate with different histopathological lesions considering cardiac involvement and neuronal lesions. These findings suggest that the biological behavior together with isoenzymes patterns and pathological pictures in the vertebrate host can be an important tool for establishing correlations between strains behavior and clinico-pathological manifestations of Chagas' disease in different geographical areas.

Human activity data discovery based on accelerometry

Dissertation to Obtain Master Degree in Biomedical Engineering

TSKY: a dependable middleware solution for data privacy using public storage clouds

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Protesting or justifying? A latent class model for contingent valuation with attitudinal data

This article develops a latent class model for estimating willingness-to-pay for public goods using simultaneously contingent valuation (CV) and attitudinal data capturing protest attitudes related to the lack of trust in public institutions providing those goods. A measure of the social cost associated with protest responses and the consequent loss in potential contributions for providing the public good is proposed. The presence of potential justification biases is further considered, that is, the possibility that for psychological reasons the response to the CV question affects the answers to the attitudinal questions. The results from our empirical application suggest that psychological factors should not be ignored in CV estimation for policy purposes, allowing for a correct identification of protest responses.

Hub-and-spoke Interoperability: an out of the skies approach for large-scale data interoperability

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

O erro na fase pré-analítica : amostras não conformes versus procedimentos

RESUMO: As Análises Clínicas são um precioso elemento entre os meios complementares de diagnóstico e terapêutica permitindo uma enorme panóplia de informações sobre o estado de saúde de determinado utente. O objetivo do laboratório é fornecer informação analítica sobre as amostras biológicas, sendo esta caracterizada pela sua fiabilidade, relevância e facultada em tempo útil. Assim, tratando-se de saúde, e mediante o propósito do laboratório, é notória a sua importância, bem como, a dos fatores associados para o cumprimento do mesmo. O bom desenrolar do ciclo laboratorial, compreendido pelas fases pré-analítica, analítica e pós-analítica é crucial para que o objetivo do laboratório seja cumprido com rigor e rapidez. O presente trabalho “O Erro na Fase Pré-Analítica: Amostras Não Conformes versus Procedimentos”, enquadrado no mestrado de Qualidade e Organização no Laboratório de Análises Clínicas, pretendeu enfatizar a importância da fase pré- analítica, sendo ela apontada como a primordial em erros que acabam por atrasar a saída de resultados ou por permitir que os mesmos não sejam fidedignos como se deseja, podendo acarretar falsos diagnósticos e decisões clínicas erradas. Esta fase, iniciada no pedido médico e finalizada com a chegada das amostras biológicas ao laboratório está entregue a uma diversidade de procedimentos que acarretam, por si só, uma grande diversidade de intervenientes, para além de uma variabilidade de factores que influenciam a amostra e seus resultados. Estes fatores, que podem alterar de algum modo a “veracidade” dos resultados analíticos, devem ser identificados e tidos em consideração para que estejamos convitos que os resultados auxiliam diagnósticos precisos e uma avaliação correta do estado do utente. As colheitas que por quaisquer divergências não originam amostras que cumpram o objectivo da sua recolha, não estando por isso em conformidade com o pretendido, constituem uma importante fonte de erro para esta fase pré-analítica. Neste estudo foram consultados os dados relativos a amostras de sangue e urina não conformes detetadas no laboratório, em estudo, durante o 1º trimestre de 2012, para permitir conhecer o tipo de falhas que acontecem e a sua frequência. Aos Técnicos de Análises Clínicas, colaboradores do laboratório, foi-lhes pedido que respondessem a um questionário sobre os seus procedimentos quotidianos e constituíssem, assim, a população desta 2ª parte do projeto. Preenchido e devolvido de forma anónima, este questionário pretendeu conhecer os procedimentos na tarefa de executar colheitas e, hipoteticamente, confrontá-los com as amostras não conformes verificadas. No 1ºsemestre de 2012 e num total de 25319 utentes registaram-se 146 colheitas que necessitaram de repetição por se verificarem não conformes. A “amostra não colhida” foi a não conformidade mais frequente (50%) versus a “má identificação” que registou somente 1 acontecimento. Houve ainda não conformidades que não se registaram como “preparação inadequada” e “amostra mal acondicionada”. Os técnicos revelaram-se profissionais competentes, conhecedores das tarefas a desempenhar e preocupados em executá-las com qualidade. Eliminar o erro não estará, seguramente, ao nosso alcance porém admitir a sua presença, detetá-lo e avaliar a sua frequência fará com que possamos diminuir a sua existência e melhorar a qualidade na fase pré-analítica, atribuindo-lhe a relevância que desempenha no processo laboratorial.-----------ABSTRACT:Clinical analyses are a precious element among diagnostic and therapeutic tests as they allow an enormous variety of information on the state of health of a user. The aim of the laboratory is to supply reliable, relevant and timely analytical information on biological samples. In health-related matters, in accordance with the objective of the laboratory, their importance is vital, as is the assurance that all the tools are in place for the fulfillment of its purpose. A good laboratory cycle, which includes the pre-analytical, analytical and post-analytical phases, is crucial in fulfilling the laboratory’s mission rapidly and efficiently. The present work - "Error in the pre-analytical phase: non-compliant samples versus procedures”, as part of the Master’s in Quality and Organization in the Clinical Analyses Laboratory, wishes to emphasize the importance of the pre-analytical phase, as the phase containing most errors which eventually lead to delays in the issue of results, or the one which enables those results not to be as reliable as desired, which can lead to false diagnosis and wrong clinical decisions. This phase, which starts with the medical request and ends with the arrival of the biological samples to the laboratory, entails a variety of procedures, which require the intervention of different players, not to mention a great number of factors, which influence the sample and the results. These factors, capable of somehow altering the “truth” of the analytical results, must be identified and taken into consideration so that we may ensure that the results help to make precise diagnoses and a correct evaluation of the user’s condition. Those collections which, due to any type of differences, do not originate samples capable of fulfilling their purpose, and are therefore not compliant with the objective, constitute an important source of error in this pre-analytical phase. In the present study, we consulted data from non-compliant blood and urine samples, detected at the laboratory during the 1st quarter of 2012, to find out the type of faults that happen and their frequency. The clinical analysis technicians working at the laboratory were asked to fill out a questionnaire regarding their daily procedures, forming in this way the population for this second part of the project. Completed and returned anonymously, this questionnaire intended to investigate the procedures for collections and, hypothetically, confront them with the verified non-compliant samples. In the first semester of 2012, and out of a total of 25319 users, 146 collections had to be repeated due to non-compliance. The “uncollected sample” was the most frequent non-compliance (>50%) versus “incorrect identification” which had only one occurrence. There were also unregistered non-compliance issues such as “inadequate preparation” and “inappropriately packaged sample”. The technicians proved to be competent professionals, with knowledge of the tasks they have to perform and eager to carry them out efficiently. We will certainly not be able to eliminate error, but recognizing its presence, detecting it and evaluating its frequency will help to decrease its occurrence and improve quality in the pre-analytical phase, giving it the relevance it has within the laboratory process.

Corruption and Education: Empirical evidence from cross-country micro-data

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

Spatial Patterns and Irregularities of the electoral data: general elections in Canada

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

QBC® for the diagnosis of human and canine american visceral leishmaniasis: preliminary data

"Quantitative Buffy Coat" (QBC®) is a direct and fast fluorescent method used for the identification of blood parasites. Since Leishmania chagasi circulates in blood, we decided to test it in American visceral leishmaniasis (AVL). Bone marrow (BM) and peripheral blood (PB) of 49 persons and PB of 31 dogs were analyzed. QBC® was positive in BM of 11/11 patients with AVL and in 1/6 patients with other diseases. Amastigotes were identified in PB of 18/22 patients with AVL and in none without AVL. The test was positive in 30 out of the 31 seropositive dogs and in 28/28 dogs with Leishmania identified in other tissues. QBC® is a promising method for diagnosis of human AVL, and possibly for the exam of PB of patients with AVL/AIDS, for the control of the cure and for the identification of asymptomatic carriers. Because it is fast and easy to collect and execute, QBC® should be evaluated for programs of reservoir control.

Collecting data for indoor mapping of the university of Münster via a location based game

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

Using epidemiological survey data to infer geographic distributions of leishmaniasis vector species

An important aspect of tropical medicine is analysis of geographic aspects of risk of disease transmission, which for lack of detailed public health data must often be reduced to an understanding of the distributions of critical species such as vectors and reservoirs. We examine the applicability of a new technique, ecological niche modeling, to the challenge of understanding distributions of such species based on municipalities in the state of São Paulo in which a group of 5 Lutzomyia sandfly species have been recorded. The technique, when tested based on independent occurrence data, yielded highly significant predictions of species' distributions; minimum sample sizes for effective predictions were around 40 municipalities.

Multivariate analysis applied to clinical analysis data

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

Data fusion with computational intelligence techniques: a case study of fuzzy inference for terrain assessment

Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia