Healing replicas in a software component replication system

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

The Edges of Areal Units: a case study in the heterogeneous effects of assessment district edges

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

R&D spillovers in an endogenous growth model with physical capital, human capital and varieties

There is a family of models with Physical, Human capital and R&D for which convergence properties have been discussed (Arnold, 2000a; Gómez, 2005). However, spillovers in R&D have been ignored in this context. We introduce spillovers in this model and derive its steady-state and stability properties. This new feature implies that the model is characterized by a system of four differential equations. A unique Balanced Growth Path along with a two dimensional stable manifold are obtained under simple and reasonable conditions. Transition is oscillatory toward the steady-state for plausible values of parameters.

Web Processing Services for Forestry and Environmental Applications

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

Liquidity, business cycles and monetary policy: A simulation

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

Absorption in human capital and r&d effects in an endogenous growth model

Until now, in models of endogenous growth with physical capital, human capital and R&D such as in Arnold [Journal of Macroeconomics 20 (1998)] and followers, steady-state growth is independent of innovation activities. We introduce absorption in human capital accumulation and describe the steady-state and transition of the model. We show that this new feature provides an effect of R&D in growth, consumption and welfare. We compare the quantitative effects of R&D productivity with the quantitative effects of Human Capital productivity in wealth and welfare.

Portuguese Ministers, 1851-1999: Social Background and Paths to Power

Disponível em: http://193.136.113.6/Opac/Pages/Search/Results.aspx?SearchText=UID=bb8aa8d5-c6b6-466a-81bb-fe8a67693cee&DataBase=10449_UNLFCSH

Computational modeling of prefrontal cortex circuits

Dissertation presented to obtain the Ph.D degree in Biology

Ultrassonografia torácica : impacto no diagnóstico e estadiamento do cancro do pulmão

RESUMO:RESUMO: Nos últimos anos a ultrassonografia emergiu como um instrumento importante no diagnóstico da patologia torácica. O progresso tecnológico possibilitou a conceção de novos equipamentos como a ecoendoscopia brônquica radial e linear. Verificou-se, igualmente, o aparecimento de indicações para a realização de ecografia transtorácica. Uma das principais doenças impulsionadoras da técnica ultrassonográfica no tórax foi o cancro do pulmão, primeira causa de morte oncológica a nível mundial. A aplicabilidade e conhecimento do papel dos ultrassons no âmbito do diagnóstico e estadiamento do cancro do pulmão não se encontram esgotados, persistindo focos de controvérsia e dúvida científica que se pretendem esclarecer. A presente tese foi organizada em cinco capítulos: o primeiro abordou de forma geral e introdutória o estado da arte referente à ultrassonografia torácica, cancro do pulmão e a sua conjugação; o segundo destacou os principais objetivos; o terceiro sumarizou a metodologia utilizada; o quarto englobou os cinco estudos publicados, descritos subsequentemente, e o quinto incluiu uma discussão concisa, as principais conclusões e perspetivas futuras. O primeiro estudo avaliou a rentabilidade diagnóstica, segurança e curva de aprendizagem num coorte de 179 doentes submetidos a ecoendoscopia brônquica linear. De acordo com as indicações para este procedimento os doentes foram subdivididos em três grupos: (1) diagnóstico, (2) diagnóstico e estadiamento e (3) estadiamento. Para o primeiro, segundo e terceiro grupos a sensibilidade da ecoendoscopia foi 86.1%, 86.7% e 95% respetivamente e a precisão técnica foi 87.5%, 93.1% e 97.7% respetivamente. O treino originou um aumento progressivo do número de locais puncionados por doente, com menor duração e sem complicações, comprovando a eficácia e segurança do método quando realizado na população Portuguesa por broncologistas com experiência. O segundo estudo foi conduzido para averiguar a eficácia e custo da ecoendoscopia brônquica linear realizada através da via aérea e/ou esófago no diagnóstico de lesões sugestivas de neoplasia do pulmão, após ineficácia das técnicas convencionais. Nos doentes incluídos prospetivamente alcançou-se um diagnóstico definitivo em 106 casos (87.6%). A sensibilidade global para o diagnóstico de cancro do pulmão foi 89.8%, a especificidade foi 100%, o valor preditivo positivo foi 100%, o valor preditivo negativo foi 20% e a precisão foi 90.1%. Esta estratégia ultrassonográfica abrangente evitou intervenções cirúrgicas diagnósticas em doentes anteriormente submetidos a broncoscopia flexível ou punção aspirativa transtorácica guiada por tomografia computorizada, proporcionando uma redução significativa dos custos. No terceiro estudo investigou-se a viabilidade e papel da conjugação da ecoendoscopia brônquica linear com técnicas moleculares na avaliação de antigénios tumorais e padrões de metastização ganglionar em doentes com cancro do pulmão de não-pequenas células (CPNPC). Os marcadores citoqueratina 19 (CK-19), antigénio carcinoembrionário (CEA), molécula de adesão celular epitelial (EPCAM), sialyl-Lewis X e CD44 foram determinados nos aspirados ganglionares de 33 doentes com neoplasia e 17 controlos 10 Ultrassonografia através de citometria de fluxo (CF) e reação em cadeia da polimerase em tempo real (RTPCR). Os doentes com CPNPC possuíam um compartimento celular epitelial significativamente aumentado e com marcação superior de CK-19 comparativamente ao grupo de controlo. O compartimento imune foi também analisado nestas amostras e revelou-se alterado no CPNPC com aumento da população de monócitos e diminuição das subpopulações linfocitárias. Os transcriptos de CK-19, CEA e EPCAM estavam elevados nos doentes com cancro do pulmão, identificando-se uma correlação positiva entre estes marcadores e o tamanho da lesão primária. Concluiu-se que a identificação de CK-19, CEA e EPCAM nas amostras obtidas por ecoendoscopia e avaliadas por CF e RTPCR foi viável, podendo auxiliar na deteção de metástases ganglionares no CPNPC. O quarto estudo envolveu a combinação da ecoendoscopia brônquica radial com uma criosonda para o diagnóstico de lesões pulmonares sólidas periféricas. Foi determinada a viabilidade, rentabilidade diagnóstica, tamanho das amostras e segurança do método. Lesões inferiores a 40mm foram localizadas por ultrassonografia sendo os doentes randomizados para a realização de biópsias transbrônquicas com pinça seguidas por criosonda ou vice-versa. Nos 39 casos incluídos a lesão foi visualizada pela minisonda em 31 doentes (79.5%), com 80.6% de prevalência de cancro do pulmão na amostra. A rentabilidade diagnóstica da pinça de biópsia foi 61.3% e da criosonda foi 74.2%. O tamanho do tecido adquirido pelas criobiópsias foi significativamente maior do que o alcançado por pinça (11.17mm2 vs. 4.69mm2, p<0.001). Ocorreu um único caso de hemorragia moderada, controlada através de medidas conservadoras. As biópsias transbrônquicas com criosonda sob orientação de ecoendoscopia radial foram seguras e eficazes na obtenção de amostras histológicas. O quinto estudo determinou o valor diagnóstico da ecografia transtorácica na identificação de malignidade em doentes com derrame pleural de natureza indeterminada. Foram examinados de forma prospetiva 154 doentes. Os resultados clínicos e radiológicos de cada caso foram ocultados ao executante do exame que gerou imagens estáticas e vídeos ultrassonográficos relevantes. Estes foram posteriormente visualizados, sendo as suas características classificadas por revisores independentes e comparadas com o diagnóstico definitivo. Em 66 casos o diagnóstico foi de derrame pleural maligno (68.2% com cancro do pulmão) e em 67 de derrame benigno. A ecografia torácica obteve 80.3% de sensibilidade, 83.6% de especificidade, 81.2% de valor preditivo negativo e 82.8% de valor preditivo positivo na deteção de malignidade. A nodularidade pleural ou diafragmática, espessamento pleural superior a 10mm e sinal de swirling foram significativamente diferentes (p<0.001) sendo sugestivos de derrame maligno. A existência de nodularidade pleural e ausência de broncograma aéreo ecográfico aumentaram a probabilidade de malignidade (OR 29.0 e OR 10.4, respetivamente). A ecografia transtorácica permitiu diferenciar derrame pleural maligno do benigno. A existência de nódulos pleurais constituiu o fator discriminador mais relevante. Em conclusão, os resultados desta tese possibilitam uma melhor compreensão do papel da ecoendoscopia brônquica (linear e radial) e ecografia transtorácica no diagnóstico e estadiamento do cancro do pulmão, com implicações e aplicabilidade na prática clínica.------------- ABSTRACT: In recent years ultrasonography has emerged as an important instrument in the diagnosis of thoracic diseases. Technological progress has enabled the design of new equipment such as radial and linear endobronchial ultrasound. In addition, indications for transthoracic echography were established. One of the main diseases responsible for the progression of chest sonography was lung cancer, the leading cause of cancer mortality worldwide. The applicability and knowledge of the role of ultrasonography in diagnosing and staging lung cancer is not depleted, persisting foci of controversy and scientific doubt that we intend to elucidate. The present thesis was organized into five chapters: the first included a general introduction regarding chest ultrasound, lung cancer and their combination; the second emphasized the main objectives; the third summarized the methodology used; the fourth encompassed the five published studies, subsequently described, and the fifth included a concise discussion, the main findings and future perspectives. The first study evaluated the diagnostic yield, safety and learning curve in a cohort of 179 patients submitted to linear endobronchial ultrasound. According to procedure indications, the patients were divided into three groups: (1) diagnosis, (2) diagnosis and staging, and (3) staging. For the first, second and third groups, endobronchial ultrasound sensitivity was 86.1%, 86.7% and 95% respectively and accuracy was 87.5%, 93.1% and 97.7% respectively. Practise led to an increase number of punctured sites per patient, in a shorter period of time and without complications, proving the safety and efficacy of the method when performed in the Portuguese population by expert echoscopists. The second study was conducted to determine the efficacy and cost of linear endobronchial ultrasound performed through the airway and/or oesophagus for diagnosis of lesions suggestive of lung cancer, after failure of conventional techniques. Of the patients prospectively enrolled a definitive diagnosis was reached in 106 cases (87.6%). The overall sensitivity for the diagnosis of lung cancer was 89.8%, specificity was 100%, positive predictive value was 100%, negative predictive value was 20% and accuracy was 90.1%. In conclusion, this global ultrasonographic strategy avoided diagnostic surgical procedures in patients that had undergone flexible bronchoscopy or computed tomography-guided transthoracic needle aspiration, providing a significant cost reduction. In the third study, the feasibility and role of linear endobronchial ultrasound combined with molecular techniques in the evaluation of tumour antigens and patterns of lymph node metastasis in patients with non-small cell lung cancer (NSCLC) was investigated. Cytokeratin 19 (CK-19), carcinoembryonic antigen (CEA), epithelial cell adhesion molecule (EPCAM), sialyl Lewis-X and CD44 were determined in lymph node aspirates of 33 lung cancer patients and 17 controls, using flow cytometry (FC) and reverse transcription polymerase chain reaction (RT-PCR). In patients with NSCLC the epithelial cell compartment was significantly increased nd showed brighter CK-19 staining, compared to the control group. In NSCLC patients the immune compartment revealed an increased monocyte population and decreased lymphocyte subsets. The transcripts of CK- 19, CEA and EPCAM were higher in lung cancer patients and a positive correlation between these markers and the size of the primary lesion was also found. We concluded that the identification of CK-19, CEA and EPCAM in endobronchial ultrasound samples, using RT-PCR and FC was feasible and might aid in the detection of NSCLC lymph node metastases. The fourth study involved the combination of the radial endobronchial ultrasound with the cryoprobe for diagnosing solid peripheral lung lesions. We determined the feasibility, diagnostic yield, sample size and safety of the method. Lesions less than 40mm were located by ultrasound and forceps or cryobiopsies were performed in a randomized order. Of the 39 cases included, the lesion could be visualized by the miniprobe in 31 patients (79.5%), and lung cancer prevalence was 80.6%. The diagnostic yield of the biopsy forceps was 61.3% and for the cryobiopsy was 74.2 %. Cryobiopsies were significantly larger than forceps biopsies (11.17mm2 vs. 4.69mm2, p<0.001). There was only one case of moderate bleeding that was controlled by conservative measures. Transbronchial cryobiopsies under radial endobronchial ultrasound guidance were safe and effective in obtaining histological samples. The fifth study determined the diagnostic value of transthoracic sonography in predicting malignancy in patients with an undiagnosed pleural effusion. One hundred and fifty four patients were prospectively scanned. Relevant ultrasound images and videos were generated by an operator blinded to clinical and radiological results. These were subsequently visualized, its characteristics classified by independent reviewers and compared to the final diagnosis. A malignant pleural effusion was diagnosed in 66 cases (68.2 % with lung cancer) and a benign effusion in 67 cases. Thoracic ultrasound had a sensitivity of 80.3 %, specificity of 83.6%, negative predictive value of 81.2 % and positive predictive value of 82.8% to detect malignancy. The presence of pleural or diaphragmatic nodularity, pleural thickening greater than 10mm and swirling signal were significantly different (p<0.001 ), being suggestive of malignant effusion. The existence of pleural nodularity and absence of lung air bronchogram were more likely to indicate malignancy (OR 29.0 and OR 10.4, respectively). Transthoracic ultrasonography permits the distinction between malignant and benign pleural effusions. Pleural nodules were the most relevant feature. In conclusion, the results of this thesis provide a better understanding of the role of endobronchial ultrasound (linear and radial) and transthoracic sonography in lung cancer diagnosis and staging, with direct implications and applicability in clinical practice.

2D position system for a mobile robot in unstructured environments

Nowadays, several sensors and mechanisms are available to estimate a mobile robot trajectory and location with respect to its surroundings. Usually absolute positioning mechanisms are the most accurate, but they also are the most expensive ones, and require pre installed equipment in the environment. Therefore, a system capable of measuring its motion and location within the environment (relative positioning) has been a research goal since the beginning of autonomous vehicles. With the increasing of the computational performance, computer vision has become faster and, therefore, became possible to incorporate it in a mobile robot. In visual odometry feature based approaches, the model estimation requires absence of feature association outliers for an accurate motion. Outliers rejection is a delicate process considering there is always a trade-off between speed and reliability of the system. This dissertation proposes an indoor 2D position system using Visual Odometry. The mobile robot has a camera pointed to the ceiling, for image analysis. As requirements, the ceiling and the oor (where the robot moves) must be planes. In the literature, RANSAC is a widely used method for outlier rejection. However, it might be slow in critical circumstances. Therefore, it is proposed a new algorithm that accelerates RANSAC, maintaining its reliability. The algorithm, called FMBF, consists on comparing image texture patterns between pictures, preserving the most similar ones. There are several types of comparisons, with different computational cost and reliability. FMBF manages those comparisons in order to optimize the trade-off between speed and reliability.

Exploring deregulated signals involved in motor neuron-microglia cross-talk in ALS

Part of the results discussed in this thesis was presented in the following meetings: Cunha MI, Cunha C, Vaz AR, Brites D. Studying microglial-motoneuron cross-talk in ALS pathology. 6th iMed.UL Postgraduate Students Meeting, Lisbon, July 2, 2014. [Abstract and Poster] Vaz AR. Motoneuron degeneration and glial reactivity in ALS: insights from cellular to animal models. Neuroscience Seminars at IMM 2012, Instituto de Medicina Molecular, Universidade de Lisboa, Lisbon, Portugal, June 9, 2014. [Oral Communication (by invitation)]

Glia-Motoneuron dialogue in ALS onset and progression in SOD1G93A-mice model

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by the pro-gressive loss of motoneurons (MN). Increasing evidence points glial cells as key players for ALS onset and progression. Indeed, MN-glia signalling pathways involving either neuroprotection or inflammation are likely to be altered in ALS. We aimed to study the molecules related with glial function and/or reactivity by evaluating glial markers and hemichannels, mainly present in astrocytes. We also studied molecules involved in mi-croglia-MN dialogue (CXCR3/CCL21; CX3CR1/CX3CL1; MFG-E8), as well as proliferation (Ki-67) and inflammatory-related molecules (TLR2/4, NLRP3; IL-18) and alarming/calming signals (HMGB1/autotaxin). We used lumbar spinal cord (SC) homogenates from mice expressing a mutant human-SOD1 protein (mSOD1) at presymptomatic and late-symptomatic ALS stages. SJL (WT) mice at same ages were used as controls. We observed decreased expression of genes associated with astrocytic (GFAP and S100B) and microglial (CD11b) markers in mSOD1 at the presymptomatic phase, as well as diminished levels of gap junction components pannexin1 and connexin43 and expression of Ki-67 and decreased autotax-in. In addition, microglial-MN communication was negatively affected in mSOD1 mice as well as in-flammatory response. Interestingly, we observed astrocytic (S100B) and microglial (CD11b) reactivity, increased proliferation (Ki-67) and increased autotaxin expression in symptomatic mSOD1 mice. In-creased MN-microglial dialogue (CXCR3/CCL21; CX3CR1/CX3CL1; MFG-E8) and hemichannel activ-ity, namely connexin43 and pannexin1, were also observed in mSOD1 at the symptomatic phase, along with an elevated inflammatory response as indicated by increased levels of HMGB1 and NLRP3. Our results suggest that decreased autotaxin expression is a feature of the presymptomatic stage, and precede the network of pro-inflammatory-related symptomatic determinants, including HMGB1, CCL21, CX3CL1, and NLRP3. The identification of the molecules and signaling pathways that are dif-ferentially activated along ALS progression will contribute for a better design of therapeutic strategies for disease onset and progression.

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.

Trans-Synaptic Signaling by Activity-Dependent Cleavage of Neuroligin-1

Throughout the brain, patterns of activity in postsynaptic neurons influence the properties of synaptic inputs. Such feedback regulation is central to neural network stability that underlies proper information processing and feature representation in the central nervous system. At the cellular level, tight coupling of presynaptic and postsynaptic function is fundamental to neural computation and synaptic plasticity. The cohort of protein complexes at the pre and postsynaptic membrane allows for tight synapse-specific segregation and integration of diverse molecular and electrical signals.(...)

Botnet cluster identification

Botnets are a group of computers infected with a specific sub-set of a malware family and controlled by one individual, called botmaster. This kind of networks are used not only, but also for virtual extorsion, spam campaigns and identity theft. They implement different types of evasion techniques that make it harder for one to group and detect botnet traffic. This thesis introduces one methodology, called CONDENSER, that outputs clusters through a self-organizing map and that identify domain names generated by an unknown pseudo-random seed that is known by the botnet herder(s). Aditionally DNS Crawler is proposed, this system saves historic DNS data for fast-flux and double fastflux detection, and is used to identify live C&Cs IPs used by real botnets. A program, called CHEWER, was developed to automate the calculation of the SVM parameters and features that better perform against the available domain names associated with DGAs. CONDENSER and DNS Crawler were developed with scalability in mind so the detection of fast-flux and double fast-flux networks become faster. We used a SVM for the DGA classififer, selecting a total of 11 attributes and achieving a Precision of 77,9% and a F-Measure of 83,2%. The feature selection method identified the 3 most significant attributes of the total set of attributes. For clustering, a Self-Organizing Map was used on a total of 81 attributes. The conclusions of this thesis were accepted in Botconf through a submited article. Botconf is known conferênce for research, mitigation and discovery of botnets tailled for the industry, where is presented current work and research. This conference is known for having security and anti-virus companies, law enforcement agencies and researchers.