The usefulness of ultrasound in the classification of chronic liver disease

Chronic Liver Disease is a progressive, most of the time asymptomatic, and potentially fatal disease. In this paper, a semi-automatic procedure to stage this disease is proposed based on ultrasound liver images, clinical and laboratorial data. In the core of the algorithm two classifiers are used: a k nearest neighbor and a Support Vector Machine, with different kernels. The classifiers were trained with the proposed multi-modal feature set and the results obtained were compared with the laboratorial and clinical feature set. The results showed that using ultrasound based features, in association with laboratorial and clinical features, improve the classification accuracy. The support vector machine, polynomial kernel, outperformed the others classifiers in every class studied. For the Normal class we achieved 100% accuracy, for the chronic hepatitis with cirrhosis 73.08%, for compensated cirrhosis 59.26% and for decompensated cirrhosis 91.67%.

Mapping multi-species habitat use for marine conservation planning

Tese de Doutoramento, Ciências do Mar (Biologia Marinha)

The gambin model provides a superior fit to species abundance distributions with a single free parameter : evidence, implementation and interpretation

The species abundance distribution (SAD) has been a central focus of community ecology for over fifty years, and is currently the subject of widespread renewed interest. The gambin model has recently been proposed as a model that provides a superior fit to commonly preferred SAD models. It has also been argued that the model's single parameter (α) presents a potentially informative ecological diversity metric, because it summarises the shape of the SAD in a single number. Despite this potential, few empirical tests of the model have been undertaken, perhaps because the necessary methods and software for fitting the model have not existed. Here, we derive a maximum likelihood method to fit the model, and use it to undertake a comprehensive comparative analysis of the fit of the gambin model. The functions and computational code to fit the model are incorporated in a newly developed free-to-download R package (gambin). We test the gambin model using a variety of datasets and compare the fit of the gambin model to fits obtained using the Poisson lognormal, logseries and zero-sum multinomial distributions. We found that gambin almost universally provided a better fit to the data and that the fit was consistent for a variety of sample grain sizes. We demonstrate how α can be used to differentiate intelligibly between community structures of Azorean arthropods sampled in different land use types. We conclude that gambin presents a flexible model capable of fitting a wide variety of observed SAD data, while providing a useful index of SAD form in its single fitted parameter. As such, gambin has wide potential applicability in the study of SADs, and ecology more generally.

Quantificação de metais potencialmente tóxicos em mexilhão dourado (Limnoperna fortunei) por espectrometria de absorção atômica com fonte contínua e alta resolução empregando amostragem direta de sólidos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Mould and yeast identification in archival settings: preliminary results on the use of traditional methods and molecular biology options in Portuguese archives

This project was developed to fully assess the indoor air quality in archives and libraries from a fungal flora point of view. It uses classical methodologies such as traditional culture media – for the viable fungi – and modern molecular biology protocols, especially relevant to assess the non-viable fraction of the biological contaminants. Denaturing high-performance liquid chromatography (DHPLC) has emerged as an alternative to denaturing gradient gel electrophoresis (DGGE) and has already been applied to the study of a few bacterial communities. We propose the application of DHPLC to the study of fungal colonization on paper-based archive materials. This technology allows for the identification of each component of a mixture of fungi based on their genetic variation. In a highly complex mixture of microbial DNA this method can be used simply to study the population dynamics, and it also allows for sample fraction collection, which can, in many cases, be immediately sequenced, circumventing the need for cloning. Some examples of the methodological application are shown. Also applied is fragment length analysis for the study of mixed Candida samples. Both of these methods can later be applied in various fields, such as clinical and sand sample analysis. So far, the environmental analyses have been extremely useful to determine potentially pathogenic/toxinogenic fungi such as Stachybotrys sp., Aspergillus niger, Aspergillus fumigatus, and Fusarium sp. This work will hopefully lead to more accurate evaluation of environmental conditions for both human health and the preservation of documents.

Machine Learning Algorithms at Myocardial Perfusion Imaging - a Preliminary Study

Introduction: A major focus of data mining process - especially machine learning researches - is to automatically learn to recognize complex patterns and help to take the adequate decisions strictly based on the acquired data. Since imaging techniques like MPI – Myocardial Perfusion Imaging on Nuclear Cardiology, can implicate a huge part of the daily workflow and generate gigabytes of data, there could be advantages on Computerized Analysis of data over Human Analysis: shorter time, homogeneity and consistency, automatic recording of analysis results, relatively inexpensive, etc.Objectives: The aim of this study relates with the evaluation of the efficacy of this methodology on the evaluation of MPI Stress studies and the process of decision taking concerning the continuation – or not – of the evaluation of each patient. It has been pursued has an objective to automatically classify a patient test in one of three groups: “Positive”, “Negative” and “Indeterminate”. “Positive” would directly follow to the Rest test part of the exam, the “Negative” would be directly exempted from continuation and only the “Indeterminate” group would deserve the clinician analysis, so allowing economy of clinician’s effort, increasing workflow fluidity at the technologist’s level and probably sparing time to patients. Methods: WEKA v3.6.2 open source software was used to make a comparative analysis of three WEKA algorithms (“OneR”, “J48” and “Naïve Bayes”) - on a retrospective study using the comparison with correspondent clinical results as reference, signed by nuclear cardiologist experts - on “SPECT Heart Dataset”, available on University of California – Irvine, at the Machine Learning Repository. For evaluation purposes, criteria as “Precision”, “Incorrectly Classified Instances” and “Receiver Operating Characteristics (ROC) Areas” were considered. Results: The interpretation of the data suggests that the Naïve Bayes algorithm has the best performance among the three previously selected algorithms. Conclusions: It is believed - and apparently supported by the findings - that machine learning algorithms could significantly assist, at an intermediary level, on the analysis of scintigraphic data obtained on MPI, namely after Stress acquisition, so eventually increasing efficiency of the entire system and potentially easing both roles of Technologists and Nuclear Cardiologists. In the actual continuation of this study, it is planned to use more patient information and significantly increase the population under study, in order to allow improving system accuracy.

Desenvolvimento de tecnologias de extração e de quantificação dos principais componentes nutricionais de macroalgas do litoral dos Açores tendo em vista o seu aproveitamento como suplemento alimentar

Dissertação de Mestrado em Tecnologia e Segurança Alimentar

Eu também ando na escola: a escola quando a criança tem doença crónica

A Escola é o primeiro e mais importante contexto de vida e de desenvolvimento da criança depois do seu “casulo” família. Espera-se que seja na Escola que a criança passe grande parte dos seus dias. Para muitas crianças, no entanto, a vivência Escolar é intercalada ou misturada com outras vivências potencialmente stressantes e desafiadoras do seu desenvolvimento e sua construção de identidade. As crianças com Doença Crónica fazem parte desse grupo, são crianças normais em situações anormais. Baseado na literatura e em experiências de crianças com doença crónica, serão abordados, neste artigo, alguns problemas, preocupações e necessidades, no âmbito da Escola, destas crianças e das suas famílias. Tentando “trazer respostas” serão ainda apontados possíveis contributos para a minoração dos problemas enunciados.

Diversity and characterisation of coagulasenegative staphylococci isolated from healthy individuals in Portugal

In the past few years the interest in coagulase-negative staphylococci (CoNS) has significantly increased in human medicine. CoNS are common commensal colonisers of the human skin, although now also recognised as major nosocomial pathogens. Over the last decades, several studies have been carried out in order to understand the pathogenicity mechanisms of CoNS. The well known determinants in the pathogenesis of CoNS infections are their ability to form biofilms and an exceptional resistance to several antibiotics. Nevertheless, there is a lack of studies regarding the commensal lifestyle of these microorganisms. Additionally, it is now hypothesised that commensal bacteria might be a reservoir of pathogenic determinants. Therefore, the work described throughout this thesis was aimed to perform a phenotypic and genotypic characterisation of different CoNS species isolated from healthy Portuguese individuals. A total of 61 CoNS isolates, comprising 7 different species, were obtained and characterised at the level of biofilm formation and antibiotic susceptibility profiles. According to the results, biofilm formation ability and presence of biofilm-associated genes were commonly found features, highlighting their pivotal role in the colonising lifestyle of CoNS. This study also addressed the correlation between phenotypic and genotypic characteristics of biofilm formation, corroborating and raising questions about the importance of some genes in this process. Moreover, it was observed a great proportion of isolates with decreased susceptibility and multiple resistances to some important antibiotics. A significant association between antibiotic resistance and biofilm formation was also demonstrated, and some hypotheses about the nature of such association were provided. Lastly, the expression patterns of two biofilm-associated genes at two distinct biofilm developmental stages were determined, confirming their importance in the accumulative stage of biofilm formation. Overall, the results presented in this thesis indicate that staphylococcal skin flora might be an important reservoir of potentially pathogenic bacteria and, simultaneously, bring to light new perceptions about the molecular basis of staphylococcal biofilm formation, and the nature of the association between antibiotic resistance and biofilm formation.

HIV infection and related risk behaviors in a community of recyclable waste collectors of Santos, Brazil

OBJECTIVE: To estimate the seroprevalence of HIV, hepatitis B and C and syphilis and to describe risk behaviors associated to their transmission among recyclable waste collectors. METHODS: A seroepidemiological survey was carried out in the city of Santos, Southeastern Brazil, in 2005. A total of 315 individuals were enrolled in the survey, of which 253 subjects underwent serological testing HIV, hepatitis B and C and syphilis. Statistical analysis consisted of univariate and bivariate analyses (cross-tabulation and odds ratio) and multivariate analysis (by logistic regression), relating HIV infection with established risk behaviors and seropositivity. RESULTS: Overall seroprevalences were: HIV, 8.9%; hepatitis B, 34.4%; hepatitis C, 12.4%; and syphilis, 18.4%. Subjects were characterized by a predominance of males with low educational and economic levels, subjected to parenteral and sexual exposures to HIV and other sexually transmitted infections. Multivariate analysis results indicated that risk factors for both sexually and parenterally related exposure were significantly associated with HIV in this community. CONCLUSIONS: Seroprevalences found in the study were approximately 10 to 12 times higher than the national average. These communities are socially marginalized and generally not recognized by national programs as potentially endangered populations.

Valorização de subprodutos da vinha e do vinho: impacto do tempo e métodos de preservação nas suas características

Os polifenóis constituem um grupo biologicamente relevante de compostos naturais, que têm gerado um crescente interesse por parte dos consumidores e das indústrias alimentar, farmacêutica e de cosméticos. Os compostos fenólicos exibem uma vasta gama de propriedades fisiológicas, tais como anti-alérgica, anti-aterogénica, anti-inflamatória, anti-microbiana, antioxidante, anti-trombótica, possuindo efeitos cardio-protetores e vasodilatadores. Por conseguinte, o interesse na obtenção deste compostos ativos de uma forma fácil, barata e rápida tem vindo a aumentar. Uma das fontes de polifenóis são os subprodutos agrícolas, tais como os produtos derivados do vinho e/ou processamento de uvas. As folhas, os caules e os resíduos obtidos durante o processo de produção do vinho têm sido subutilizados, apesar de representarem uma boa fonte de compostos antioxidantes e bioativos. Portugal é um dos mais importantes países produtores de vinho, onde todos os anos são geradas várias toneladas de subprodutos associados a esta indústria. A extração, caracterização, quantificação e avaliação da atividade antioxidante de compostos bioativos extraídos destes subprodutos são, pois, tarefas importantes a fim de avaliar o potencial de utilização destes produtos como novas fontes de compostos antioxidantes. O objetivo deste trabalho foi quantificar e avaliar os teores de polifenóis de extratos preparados a partir de folhas e caules de videira, e bagaço, engaço e grainha de uva. Os parâmetros experimentais da extração foram otimizados, incluindo a proporção de solvente de extração (água/etanol), a temperatura e o tempo de extração. A quantificação dos polifenóis (como fenóis totais e flavonoides) foi efetuada por espetrofotometria de UV/Vis. Verificou-se que a melhor razão de solventes extratores foi de 50/50 (v/v) em água/etanol para todos os subprodutos estudados. No caso dos subprodutos folhas e caules, as condições ideais de extração foram obtidas quando se usou uma temperatura de 40ºC e um tempo de extração de 30 min. Para o bagaço, a temperatura ideal foi de 55ºC durante 5 min. Para o engaço e grainha a utilização de uma temperatura de 40ºC durante 5 min e 30 min, respetivamente, revelou-se o ideal para se obter os compostos. Com este trabalho conclui-se que os subprodutos da vinha e do vinho efetivamente possuem compostos de elevado valor e com capacidade antioxidante.

Soluções de transporte ferroviário: simulação de marcha e de tráfego de veículos de tração diesel e elétrica

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

Postdischarge feeding of growing “Preemies”: concerns with limiting fat intake [letter]

The didactic update on requirements, types of feeding and dosages of nutrients by Su is a useful guide for clinicians on optimization of nutrition in preterm infants. We take this opportunity to focus on postdischarge nutrition in very preterm infants, which has not yet reached consensus, because of concerns regarding the potentially negative consequences of rapid catch-up growth on obesity and metabolic programming. Some formula feeding approaches have been proposed when mother’s milk is not available.

Tags de opinião

As tags podem ser utilizadas com diferentes propósitos, entre os quais organizar os recursos para fins pessoais e partilhar informação potencialmente relevante com outros utilizadores. Este trabalho conjuga diversas áreas de conhecimento e explora a utilização de tags, debruçando-se numa categoria em particular que engloba as tags de opinião. Estas podem ser usadas para expressar sentimentos ou opiniões sobre os recursos. Foram realizadas análises sobre a utilização de tags na loja online Amazon. Recolhida uma amostra de dados, as tags foram classificadas e analisadas segundo diversos aspectos, inclusive quanto à sua polaridade. Além da atribuição de tags, na Amazon é possível atribuir pontuações (de 1 a 5) aos recursos. Neste trabalho compararam-se ainda as duas formas referidas de classificação de recursos, verificando a existência de alguma correspondência entre ambas, com significado estatístico. Adicionalmente, foi desenvolvido um classificador semi-automático que tem como objectivo classificar as tags atribuídas aos recursos para proporcionar uma classificação rápida e eficiente da polaridade das tags que considera também a informação disponível sobre os recursos durante o processo.

Síntese sol-gel de biomateriais à base de água de fontes hidrotermais para otimização do comportamento celular e regeneração dos tecidos ósseos

Dissertação de Mestrado, Ciências Biomédicas, 18 de Março de 2016, Universidade dos Açores.