Bacterial peptidoglycan biosynthesis and recognition by the innate immune system

Dissertation presented to obtain the Ph.D degree in Biology

Modelling and Forecasting Mortality Patterns

Thesis submitted in partial fulfillment of the requirements for the Degree of Doctor of Statistics and Information Management

Dynamics of innovation patterns: some insights for Portugal

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Gestão de Informação

Prescription patterns of pharmaceuticals

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.

Human activity recognition with accelerometry: novel time and frequency features

Human Activity Recognition systems require objective and reliable methods that can be used in the daily routine and must offer consistent results according with the performed activities. These systems are under development and offer objective and personalized support for several applications such as the healthcare area. This thesis aims to create a framework for human activities recognition based on accelerometry signals. Some new features and techniques inspired in the audio recognition methodology are introduced in this work, namely Log Scale Power Bandwidth and the Markov Models application. The Forward Feature Selection was adopted as the feature selection algorithm in order to improve the clustering performances and limit the computational demands. This method selects the most suitable set of features for activities recognition in accelerometry from a 423th dimensional feature vector. Several Machine Learning algorithms were applied to the used accelerometry databases – FCHA and PAMAP databases - and these showed promising results in activities recognition. The developed algorithm set constitutes a mighty contribution for the development of reliable evaluation methods of movement disorders for diagnosis and treatment applications.

Tool for discovering sequential patterns in financial markets

The goal of this thesis is the study of a tool that can help analysts in finding sequential patterns. This tool will have a focus on financial markets. A study will be made on how new and relevant knowledge can be mined from real life information, potentially giving investors, market analysts, and economists new basis to make informed decisions. The Ramex Forum algorithm will be used as a basis for the tool, due to its ability to find sequential patterns in financial data. So that it further adapts to the needs of the thesis, a study of relevant improvements to the algorithm will be made. Another important aspect of this algorithm is the way that it displays the patterns found, even with good results it is difficult to find relevant patterns among all the studied samples without a proper result visualization component. As such, different combinations of parameterizations and ways to visualize data will be evaluated and their influence in the analysis of those patterns will be discussed. In order to properly evaluate the utility of this tool, case studies will be performed as a final test. Real information will be used to produce results and those will be evaluated in regards to their accuracy, interest, and relevance.

Analyzing Geospatial patterns of syrian refugee flows in southeastern Turkey by use of remote sensing and complementary data

Crisis-affected communities and global organizations for international aid are becoming increasingly digital as consequence geotechnology popularity. Humanitarian sector changed in profound ways by adopting new technical approach to obtain information from area with difficult geographical or political access. Since 2011, turkey is hosting a growing number of Syrian refugees along southeastern region. Turkish policy of hosting them in camps and the difficulty created by governors to international aid group expeditions to get information, made such international organizations to investigate and adopt other approach in order to obtain information needed. They intensified its remote sensing approach. However, the majority of studies used very high-resolution satellite imagery (VHRSI). The study area is extensive and the temporal resolution of VHRSI is low, besides it is infeasible only using these sensors as unique approach for the whole area. The focus of this research, aims to investigate the potentialities of mid-resolution imagery (here only Landsat) to obtain information from region in crisis (here, southeastern Turkey) through a new web-based platform called Google Earth Engine (GEE). Hereby it is also intended to verify GEE currently reliability once the Application Programming Interface (API) is still in beta version. The finds here shows that the basic functions are trustworthy. Results pointed out that Landsat can recognize change in the spectral resolution clearly only for the first settlement. The ongoing modifications vary for each case. Overall, Landsat demonstrated high limitations, but need more investigations and may be used, with restriction, as a support of VHRSI.

Avaliação da monitorização diária da proteína C-Reativa no doente crítico

RESUMO: O objectivo desta Tese de Doutoramento foi estudar o valor da Proteína CReactiva(PCR) como marcador de infecção e sepsis. Por definição, um marcador da infecção não está presente se o doente não está infectado, deve aparecer concomitantemente ou idealmente preceder a instalação da infecção, deve desaparecer com a instituição de terapêutica antimicrobiana adequada e permanecer elevado se a infecção for refractária ao tratamento. Do ponto de vista biológico, a PCR é o protótipo das proteínas de fase aguda, com uma marcada elevação da sua concentração sérica em resposta a diversos estímulos inflamatórios em particular infecções bacterianas. A sua concentração sérica depende apenas da intensidade do estímulo e da velocidade de síntese hepática, não sendo influenciada por nenhum factor ou tratamento a não ser que este tenha influência directa sobre o estímulo desencadeante, o que a torna um marcador de infecção com grande potencial. Nesta Tese comparou-se a PCR com marcadores clássicos de infecção, temperatura e contagem leucocitária, em diversas situações clínicas analisando doentes com infecções documentadas e doentes controlos, sem infecção. Globalmente os resultados dos trabalhos desta Tese mostram que a PCR é um bom marcador de infecção de acordo com a definição previamente apresentada. Em conjunto com a restante avaliação clínica e laboratorial, a monitorização diária da PCR nos doentes sem infecção mostrou ser útil como sentinela da infecção, isto é, apresenta valores baixos nos doentes sem infecção e sobe precocemente nos doentes que desenvolvem uma infecção. Nos doentes com infecção documentada revelou um ser bom marcador de resposta à terapêutica e evolução clínica, diminuindo naqueles que melhoravam e persistindo elevada nos que tinham mau prognóstico, bem assim como identificar diferentes perfis evolutivos. Em suma, a monitorização diária da PCR mostrou utilidade ao longo de todo o internamento na Unidade de Cuidados Intensivos, quer na presença quer na ausência de infecção. Deste todo, a monitorização diária da PCR pode a possibilitar uma utilização mais racional e judiciosa da terapêutica antimicrobiana, contribuindo dessa forma para uma diminuição da toxicidade e da pressão antibiótica, menor risco de emergência de resistências e finalmente diminuição dos custos. Uma vez que, os doentes internados nas Unidades de Cuidados Intensivos apresentam as mesmas doenças que os restantes doentes admitidos no hospital apenas se distinguindo pela sua maior gravidade, poder-se-á extrapolar que a PCR também é potencialmente um bom marcador de infecção nestes doentes. ----------------ABSTRACT: The aim of this PhD Thesis was to assess the value of C-Reactive Protein (CRP) as a marker of infection and sepsis. A marker of infection should be absent in a non-infected patient, should increase alongside or ideally precede the development of an infection, and finally should assess the therapeutic response, that is to say decrease or even disappear with adequate antimicrobial therapy or on the opposite remain elevated if the infection is refractory to the prescribed treatment. The biology of CRP makes it the prototype of acute phase proteins, with marked and sharp elevations of its serum concentration in response to several inflammatory stimulus in particular bacterial infections. Besides, CRP level depends only of the intensity of the stimulus and the rate of hepatic synthesis. Its concentration is not modified by any therapy or intervention. Only those interventions affecting the inflammatory process responsible for the acute phase reaction can change the CRP level. These properties make CRP a potentially good marker of infection. In this Thesis the value of CRP was studied in comparison to traditional markers of infection, like temperature and white cell count, in different clinical situations analysing patients with documented infections and a control group without infection. The aggregated results of the analysis presented in this Thesis illustrate that CRP could be used as a marker of infection. In conjunction with other clinical and laboratory manifestations of sepsis, daily CRP measurement in patients without infection was useful in prediction of infection as its concentration remains low in patients without infection whereas if an infection appears its levels raise markedly. In addition, in patients with documented infections CRP was useful as a marker of therapeutic response and follow-up, with marked decreases in patients with good outcome and remaining elevated in those with poor prognosis, as well as the recognition of different patterns of evolution. In summary, daily CRP measurement was helpful in critical ill patients along the entire Intensive Care Unit stay, both in the presence and in the absence of infection. As a result, daily CRP measurement can assure a better and more rational use of antibiotics and consequently contribute to a decrease in the antibiotic toxicity and demand, reducing the risks of emergence of resistant strains aas well as costs. Provided that patients admitted to an Intensive Care Unit presented the same clinical diagnosis as those admitted to the wards but with higher severity, one can speculate that CRP is also a potentially good marker of infection in these of patients.

Structural transformation in the product space: Patterns and implications

Product fundamentals are essential in explaining heterogeneity in the product space. The scope for adapting and transferring capabilities into the production of different goods determines the speed and intensity of the structural transformation process and entails dissimilar development opportunities for nations. Future specialization patterns become then partly determined by the current network of products’ relatedness. Building on previous literature, this paper explicitly compares methodological concepts of product connectivity to conclude in favor of the density measure we propose combined with the Revealed Relatedness Index (RRI) approach presented by Freitas and Salvado (2011). Overall, RRI specifications displayed more consistent behavior when different time horizons are equated.

Changes in prescribing patterns of benzodiazepines after training of general practitioners

RESUMO: Introdução: As benzodiazepinas são os fármacos ansiolíticos e hipnóticos mais utilizados. O elevado consumo destes fármacos tem representado uma preocupação devido aos efeitos secundários do seu uso prolongado e dependência. Portugal tem a maior utilização de benzodiazepinas na Europa. Este estudo pretende analisar a alteração do padrão de prescrição de benzodiazepinas após uma intervenção com clínicos gerais. Métodos: A intervenção consistiu numa sessão educacional a um grupo de clínicos gerais. Foi comparado o padrão de prescrição de benzodiazepinas dos médicos intervencionados com o de um grupo de médicos não intervencionado da mesma região e com o de um grupo de médicos não intervencionados de outra região. Analisaram-­‐se as prescrições de 12 meses antes e depois da intervenção. A análise do padrão de prescrição utilizou como metodologia a Dose Diária Definida (DDD) e a Dose Diária Definida por 1000 pacientes por dia (DHD). A análise estatística recorreu a métodos de regressão segmentada. Resultados: Houve uma diminuição no padrão de prescrição de benzodiazepinas no grupo intervencionado após a intervenção (p=0.005). Houve também uma redução no padrão de prescrição no grupo não intervencionada da mesma região (p=0.037) e no grupo não-intervencionado da região diferente (p=0.010). Analisando por género, prescritores do género feminino prescrevem uma quantidade maior de benzodiazepinas. Os clínicos gerais do género feminino intervencionados tiveram a maior redução na prescrição após a intervenção (p=0.008). Discussão: Os dados demonstraram que a intervenção reduziu a prescrição de benzodiazepinas após a intervenção. A diminuição geral do padrão de prescrição poderá ser explicada pelo efeito de Hawthorne ou pela contaminação entre os três grupos de clínicos gerais. Os dados disponíveis não explicam as diferenças nos padrões de prescrição por género. Conclusão: Este estudo demonstra como uma única intervenção tem um impacto positivo na melhoria dos padrões de prescrição. A replicação desta intervenção poderá representar uma oportunidade para alterar a prescrição de benzodiazepinas em Portugal. -----------------------------ABSTRACT: Introduction: Benzodiazepines are the most utilized anxiolytic and hypnotic drugs. The high consumption of benzodiazepines has been a concern due to the reported side effects of long-­‐term use and dependence. Portugal has the highest benzodiazepine utilisation in Europe. This study aims to analyse the change in General Practitioners’ (GPs) benzodiazepine prescription pattern after na intervention period. Methods: An educational session was delivered to a group of intervened GPs. The benzodiazepine prescription pattern of the intervened group was compared to the pattern of a non-­‐intervened matched group from the same region, and to the pattern of another non-­‐intervened matched group from a diferente region. The research time frame was 12 month before and after intervention. The analysis of the prescription trends used the Defined Daily Dose (DDD) and Defined Daily Dose per 1000 patients per day (DHD) methodology. The statistical methods consisted of segmented regression analysis. Results: There was a decrease in benzodiazepine prescription pattern of intervened GPs after intervention (p=0.005). There was also a decrease in benzodiazepine prescription pattern for the non-­‐intervened group from the same region (p=0.037) and for the non-­‐ intervened group from a diferente region (p=0.010). Concerningthe analysis by gender, female gender prescribed a higher amount of benzodiazepines. The intervened female gender prescribers presented the highest decrease in prescription trend after intervention (p=0.008). Discussion: The data demonstrated that the intervention was effective in reducing benzodiazepine prescription after intervention. The general decrease in prescription trend might be explained by a Hawthorne effect or a contamination effect between the three groups of GPs. The available data couldn´t explain the diferences in prescription patterns by gender. Conclusion: This study demonstrates how a single intervention has a positive impact on improving prescription trends. The replication of this intervention might be an opportunity to changing the worrying benzodiazepine utilisation in Portugal.

Evolutionary dynamics of Chlamydia trachomatis genome and identification of molecular patterns of hypothetical protein coding genes

The obligate intracellular bacterium Chlamydia trachomatis is a human pathogen of major public health significance. Strains can be classified into 15 main serovars (A to L3) that preferentially cause ocular infections (A-C), genital infections (D-K) or lymphogranuloma venereum (LGV) (L1-L3), but the molecular basis behind their distinct tropism, ecological success and pathogenicity is not welldefined. Most chlamydial research demands culture in eukaryotic cell lines, but it is not known if stains become laboratory adapted. By essentially using genomics and transcriptomics, we aimed to investigate the evolutionary patterns underlying the adaptation of C. trachomatis to the different human tissues, given emphasis to the identification of molecular patterns of genes encoding hypothetical proteins, and to understand the adaptive process behind the C. trachomatis in vivo to in vitro transition. Our results highlight a positive selection-driven evolution of C. trachomatis towards nichespecific adaptation, essentially targeting host-interacting proteins, namely effectors and inclusion membrane proteins, where some of them also displayed niche-specific expression patterns. We also identified potential "ocular-specific" pseudogenes, and pointed out the major gene targets of adaptive mutations associated with LGV infections. We further observed that the in vivo-derived genetic makeup of C. trachomatis is not significantly compromised by its long-term laboratory propagation. In opposition, its introduction in vitro has the potential to affect the phenotype, likely yielding virulence attenuation. In fact, we observed a "genital-specific" rampant inactivation of the virulence gene CT135, which may impact the interpretation of data derived from studies requiring culture. Globally, the findings presented in this Ph.D. thesis contribute for the understanding of C.trachomatis adaptive evolution and provides new insights into the biological role of C. trachomatishypothetical proteins. They also launch research questions for future functional studies aiming toclarify the determinants of tissue tropism, virulence or pathogenic dissimilarities among C. trachomatisstrains.