Product communication strategies: Emotional versus rational communication strategies and attitude change on children consumers

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

Three essays on the term structure of interest rates

A PhD Dissertation, presented as part of the requirements for the Degree of Doctor of Philosophy from the NOVA - School of Business and Economics

Evaluation of chemotherapeutic potential of natural extracts using 3D models of colon cancer

Dissertation to obtain master degree in Biotechnology

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.

Structural time series models and the Kalman filter: A concise review

The continued increase in availability of economic data in recent years and, more importantly, the possibility to construct larger frequency time series, have fostered the use (and development) of statistical and econometric techniques to treat them more accurately. This paper presents an exposition of structural time series models by which a time series can be decomposed as the sum of a trend, seasonal and irregular components. In addition to a detailled analysis of univariate speci fications we also address the SUTSE multivariate case and the issue of cointegration. Finally, the recursive estimation and smoothing by means of the Kalman filter algorithm is described taking into account its different stages, from initialisation to parameter s estimation.

Corporate finance in general equilibrium models with incomplete markets: A survey

A Masters Thesis, presented as part of the requirements for the award of a Research Masters Degree in Economics from NOVA – School of Business and Economics

Dynamic adaptation of interaction models for stateful web services

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Development of a satellite based PM10 concentration product for urban areas

Dissertação para obtenção do Grau de Doutor em Engenharia do Ambiente

Microscopy image segmentation by active contour models

In this thesis a semi-automated cell analysis system is described through image processing. To achieve this, an image processing algorithm was studied in order to segment cells in a semi-automatic way. The main goal of this analysis is to increase the performance of cell image segmentation process, without affecting the results in a significant way. Even though, a totally manual system has the ability of producing the best results, it has the disadvantage of taking too long and being repetitive, when a large number of images need to be processed. An active contour algorithm was tested in a sequence of images taken by a microscope. This algorithm, more commonly known as snakes, allowed the user to define an initial region in which the cell was incorporated. Then, the algorithm would run several times, making the initial region contours to converge to the cell boundaries. With the final contour, it was possible to extract region properties and produce statistical data. This data allowed to say that this algorithm produces similar results to a purely manual system but at a faster rate. On the other hand, it is slower than a purely automatic way but it allows the user to adjust the contour, making it more versatile and tolerant to image variations.

Participatory Surveillance and Mathematical Models in Epidemiologic Research: Successes and Challenges

Theoretical epidemiology aims to understand the dynamics of diseases in populations and communities. Biological and behavioral processes are abstracted into mathematical formulations which aim to reproduce epidemiological observations. In this thesis a new system for the self-reporting of syndromic data — Influenzanet — is introduced and assessed. The system is currently being extended to address greater challenges of monitoring the health and well-being of tropical communities.(...)

Amyotrophic Lateral Sclerosis:Mammalian Cell Models,Copper-Zinc Superoxide Dismutaseand Biological Characteristics

"Amyotrophic Lateral Sclerosis (ALS) is the most severe and common adult onset disorder that affects motor neurons in the spinal cord, brainstem and cortex, resulting in progressive weakness and death from respiratory failure within two to five years of symptoms onset(...)

Enterprise reference lexicon building from business models

Nowadays, a significant increase on the demand for interoperable systems for exchanging data in business collaborative environments has been noticed. Consequently, cooperation agreements between each of the involved enterprises have been brought to light. However, due to the fact that even in a same community or domain, there is a big variety of knowledge representation not semantically coincident, which embodies the existence of interoperability problems in the enterprises information systems that need to be addressed. Moreover, in relation to this, most organizations face other problems about their information systems, as: 1) domain knowledge not being easily accessible by all the stakeholders (even intra-enterprise); 2) domain knowledge not being represented in a standard format; 3) and even if it is available in a standard format, it is not supported by semantic annotations or described using a common and understandable lexicon. This dissertation proposes an approach for the establishment of an enterprise reference lexicon from business models. It addresses the automation in the information models mapping for the reference lexicon construction. It aggregates a formal and conceptual representation of the business domain, with a clear definition of the used lexicon to facilitate an overall understanding by all the involved stakeholders, including non-IT personnel.

Learning facial-expression models with crowdsourcing

The computational power is increasing day by day. Despite that, there are some tasks that are still difficult or even impossible for a computer to perform. For example, while identifying a facial expression is easy for a human, for a computer it is an area in development. To tackle this and similar issues, crowdsourcing has grown as a way to use human computation in a large scale. Crowdsourcing is a novel approach to collect labels in a fast and cheap manner, by sourcing the labels from the crowds. However, these labels lack reliability since annotators are not guaranteed to have any expertise in the field. This fact has led to a new research area where we must create or adapt annotation models to handle these weaklylabeled data. Current techniques explore the annotators’ expertise and the task difficulty as variables that influences labels’ correction. Other specific aspects are also considered by noisy-labels analysis techniques. The main contribution of this thesis is the process to collect reliable crowdsourcing labels for a facial expressions dataset. This process consists in two steps: first, we design our crowdsourcing tasks to collect annotators labels; next, we infer the true label from the collected labels by applying state-of-art crowdsourcing algorithms. At the same time, a facial expression dataset is created, containing 40.000 images and respective labels. At the end, we publish the resulting dataset.

Regular = planeado versus irregular = espontâneo: nascimento e morte de uma relação dicotómica nos estudos históricos da forma urbana

Neste artigo analisa-se uma importante relação teórica nos estudos históricos sobre a forma urbana. Trata-se da relação que associa as formas urbanas regulares ao planeamento urbanístico e, pelo contrário, as formas urbanas irregulares à falta de planeamento urbanístico. Partindo da formulação inicial estabelecida nos textos inaugurais de história do urbanismo, procura-se verificar o impacto desta relação dicotómica na construção do conhecimento, para depois alcançar a transformação operada nas últimas décadas, que levou à sua refutação, utilizando para o efeito o contributo metodológico, teórico e conceptual de alguns estudos produzidos desde a segunda metade do século XX.