Cluster analysis and segmentation of Global M&A transactions

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

On the cloud deployment of a session abstraction for service/data aggregation

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Speed control of induction machine based on direct torque control method

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

A diabetes: principais parâmetros para o controlo da diabetes

RESUMO: A Diabetes Mellitus é uma doença metabólica crónica, com deficiência a nível do metabolismo dos hidratos de carbono, lípidos e proteínas, resultante de deficiências na secreção ou ação da insulina, ou de ambas, que quando não tratada antecipadamente e de modo conveniente, pode ter consequências muito graves. Dado a incidência a nível mundial da Diabetes Mellitus, torna-se de elevada importância avaliar toda a sua envolvência e estudar bem quais os critérios a ter em consideração. Este trabalho propõe-se estudar para além dos parâmetros bioquímicos relacionados com a doença - Glicose e Hemoglobina Glicada A1c (HbA1c), analisar os resultados dos últimos cinco anos (2008-2012) dos ensaios interlaboratoriais do PNAEQ, do Departamento de Epidemiologia, do Instituto Nacional de Saúde Dr. Ricardo Jorge. Foram também analisadas as metodologias utilizadas e as variações interlaboratoriais, de forma a entender qual ou quais são os parâmetros mais adequados para o seu diagnóstico e controlo. Este estudo utilizou a população de laboratórios portugueses, públicos e privados, de Portugal Continental e Ilhas, um laboratório de Angola e outro de Macau que se inscreveram no PNAEQ nestes cinco anos, sendo a amostra composta pelo n.º de participações. No programa de Química Clinica foram distribuídas 38 amostras e no programa de HbA1c foram distribuídas 22 amostras. Para a glicose, o nível de desempenho nos ensaios é na globalidade das amostras de Excelente, no entanto verifica-se que sempre que a concentração da amostra é de nível patológico, que a maioria dos ensaios o desempenho foi inferior – Bom. O método de eleição e com CV% mais baixos foi o método da hexoquinase. Para a HbA1c, o nível de desempenho nos ensaios é na globalidade das amostras de Excelente. O método de eleição e com CV% mais baixos foi o método de HPLC. O CV% para a glicose ronda desde 2010 a 2012, os 3% e para a HbA1c foi de aproximadamente 4,0% em 2012. A HbA1c tem mostrado ser uma ferramenta muito útil, importante e robusta na monitorização da Diabetes, sendo hoje em dia quase sempre requisitada em análises de rotina a diabéticos de modo a prevenir complicações que possam vir a acorrer. No futuro poderá ser um importante, senão o parâmetro de futuro, para o diagnóstico da Diabetes, no entanto, mesmo já tendo sido muito trabalhada a sua padronização, ainda existem questões por responder como quais são na realidade todos os seus interferentes, qual a verdadeira relação da HbA1c com a glicose média estimada, em todas as populações e com estudos epidemiológicos. Também a própria educação do diabético e clínico deve ser aprimorada, pelo que neste momento as PTGO e os doseamentos de glicose em jejum devem ser utilizados e encontrando-se a Norma da DGS N.º 033/2011 de acordo com as necessidades e com o estado da arte deste parâmetro. A implementação da glicose média estimada será uma mais-valia na monitorização dos diabéticos pelo que deverá ser uma das prioridades a ter em conta no futuro desta padronização, uniformizando a decisão clinica baseada nela e minimizando a dificuldade de interpretação de resultados de laboratório para laboratório. --------------ABSTRACT: Diabetes Mellitus is a chronic metabolic disease, with a deficit in the metabolism of carbohydrates, lipids and proteins, resulting from deficiencies in insulin secretion or action, or both, which if, when not early treated in a proper way, may result in very serious consequences. Given the worldwide incidence of diabetes mellitus, it is highly important to evaluate all its background and study specifically all the criteria to take into consideration. The aim of this thesis is to study and evaluate beyond the biochemical parameters related to the disease - Glucose and Glycated Haemoglobin A1c (HbA1c), analyze the results of the last five years (2008-2012) of the PNAEQ interlaboratorial tests, in the Department of Epidemiology of National Institute of Health Dr. Ricardo Jorge. It is also intended to analyze the methodologies used and the interlaboratorial variations, in order to understand the most suitable parameters for the diagnosis and control. This study was based in a population of Portuguese laboratories, public and private, of Portugal mainland and islands, a laboratory of Angola and other from Macau, who enrolled in PNAEQ in these five years, and the sample was composed by the n. º of holdings. In the Clinical Chemistry Program there were distributed 38 samples and in the program HbA1c were distributed 22 samples. For glucose, the level of performance in the total nº of the samples was Excellent; however, it was found that when the concentration level of the sample was pathological, in most of the tests the performance was Good. The most preferred method with the lowest CV% is the hexokinase method. For the HbA1c, as a whole, the samples’ tests were Excellent, at the level of performance. The method of election with the lower CV% was the HPLC. The CV% for glucose was around 3%, from 2010 to 2012 and the HbA1c was approximately 4.0% in 2012. The HbA1c method has demonstrated to be a very useful tool, important and robust for monitoring diabetes, being nowadays, almost always required in routine analysis to prevent future complications. In the future it may be an important parameter, if not the most important, for the diagnosis of diabetes. However, despite it has already been standardized, there are still some questions that need to be answered, such as, which are in fact all their interferences, which is the true connection of HbA1c, when compared with the estimated average glucose, in all populations and epidemiological studies. Moreover, the education of the patient and the doctor concerning diabetes should be improved. Nowadays, the Oral Glucose Tolerance Test (OGTT) and fasting glucose determinations should be used and, the needs and the state of the art of this parameter, should be in accordance with the Standard DGS N. º 033/2011. The Implementation of the estimated average glucose will be an added value in monitoring diabetics and, therefore, should be a priority to consider in its future standardization and clinical decision based on it, will be uniform and the difficulty of interpreting results from laboratory to laboratory will be minimal.

Brain-computer interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022

Based on the report for “Project IV” unit of the PhD programme on Technology Assessment (Doctoral Conference) at Universidade Nova de Lisboa (December 2011). This thesis research has the supervision of António Moniz (FCT-UNL and ITAS-KIT) and Armin Grunwald (Karlsruhe Institute of Technology-ITAS, Germany). Other members of the thesis committee are Mário Forjaz Secca (FCT-UNL) and Femke Nijboer (University of Twente, Netherlands).

Framework para a construção de “portais de negócio” para gestão de solicitações de consumidores IaaS na HP Cloud

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

A simulation model for lean, agile, resilient and green supply chain management: practices and interoperability assessment

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

Negotiation environment to support enterprise interoperability sustainability

Dissertation to obtain the Master degree in Electrical Engineering and Computer Science

Historic timber roof structures

Dissertação para obtenção do Grau de Mestre em Engenharia Civil – Estruturas e Geotecnia

Perspectives and approaches for the internet of things

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

Produção de cimentos ósseos à base de fosfato de cálcio

Os cimentos fosfato de cálcio (CPC) têm vindo a despertar cada vez mais interesse por apresentarem vantagens em relação a outros materiais, tais como o cimento acrílico ou os blocos cerâmicos, usualmente utilizados na reparação óssea. Estes são constituídos por um ou mais fosfato de cálcio, e uma solução líquida, originando uma pasta que endurece rapidamente, e que resulta num material cristalino, biocompatível e osteocondutor. O objectivo deste estudo foi investigar algumas das propriedades de um novo CPC à base de β-Fosfato tricálcico (β-TCP) que se caracteriza por incluir na sua fase líquida, além de um ácido carboxílico, um aditivo polimérico, o hidroxipropilo quitosano (HPCS), cuja síntese foi optimizada por variação dos parâmetros temperatura e duração da reacção. As propriedades mecânicas e de manuseio, assim como o produto final do CPC foram estudados efectuando-se testes de compressão, flexão, tempo de presa, injectabilidade e difracção de raios-X (DRX). Além disto investigou-se o comportamento in vitro e in vivo realizando-se testes de citotoxicidade e implantando-se o CPC no fémur de 8 coelhos durante um período de 4 meses. Verificou-se que o CPC produzido neste trabalho é um cimento de brushite, que endurece em 10 min, conferindo tempo suficiente para a colocação da pasta numa seringa e sua fácil injecção, e que apresenta uma resistência à compressão até 9MPa e flexão até 6MPa, sendo por isso aceitável para aplicações cirúrgicas, em locais não sujeitos a grandes tensões. Por outro lado verificou-se que apesar da sua aparente toxicidade este é bem tolerado in vivo, resultando num material biocompatível.

Evaluation of uv spectrophotometry for estimation of nitrite and nitrate in nitrified urine

Water is a limited resource for which demand is growing. Contaminated water from inadequate wastewater treatment provides one of the greatest health challenges as it restricts development and increases poverty in emerging and developing countries. Therefore, the connection between wastewater and human health is linked to access to sanitation and to human waste disposal. Adequate sanitation is expected to create a barrier between disposed human excreta and sources of drinking water. Different approaches to wastewater management are required for different geographical regions and different stages of economic governance depending on the capacity to manage wastewater. Effective wastewater management can contribute to overcome the challenges of water scarcity. Separate collection of human urine at its source is one promising approach that strongly reduces the economic and load demands on wastewater treatment plants (WWTP). Treatment of source-separated urine appears as a sanitation system that is affordable, produces a valuable fertiliser, reduces pollution of water resources and promotes health. However, the technical realisation of urine separation still faces challenges. Biological hydrolysis of urea causes a strong increase of ammonia and pH. Under these conditions ammonia volatilises which can cause odour problems and significant nitrogen losses. The above problems can be avoided by urine stabilisation. Biological nitrification is a suitable process for stabilisation of urine. Urine is a highly concentrated nutrient solution which can lead to strong inhibition effects during bacterial nitrification. This can further lead to process instabilities. The major cause of instability is accumulation of the inhibitory intermediate compound nitrite, which could lead to process breakdown. Enhanced on-line nitrite monitoring can be applied in biological source-separated urine nitrification reactors as a sustainable and efficient way to improve the reactor performance, avoiding reactor failures and eventual loss of biological activity. Spectrophotometry appears as a promising candidate for the development and application of on-line nitrite monitoring. Spectroscopic methods together with chemometrics are presented in this work as a powerful tool for estimation of nitrite concentrations. Principal component regression (PCR) is applied for the estimation of nitrite concentrations using an immersible UV sensor and off-line spectra acquisition. The effect of particles and the effect of saturation, respectively, on the UV absorbance spectra are investigated. The analysis allows to conclude that (i) saturation has a substantial effect on nitrite estimation; (ii) particles appear to have less impact on nitrite estimation. In addition, improper mixing together with instabilities in the urine nitrification process appears to significantly reduce the performance of the estimation model.

Epidemiological pattern of leprosy in an endemic area of North-East Brazil, 1996-2005: the supporting role of a Nongovernmental Organization

In an endemic area of North-East Brazil (the town of Picos, State of Piauí), a nongovernmental organization (NGO) supported the activity against leprosy in connection with governmental health organizations and local agents. The indicators of leprosy elimination were compared over time (within Picos) and across space (Picos versus Piauí). The case detection rate, above 8 per 10,000 people in the last two years of observation, increased over time in Picos (p=0.010). This finding could be due to active detection activities rather than expanding endemicity, as suggested by the reduction in leprosy in children (p=0.053) and the decrease in the proportion of new cases with grade 2 disability (p<0.001). These indicators showed a more favorable time trend in the city than in the State, suggesting that NGO activity was supportive in the battle towards leprosy control.

Analysis and visualization of energy use for university campus

The reduction of greenhouse gas emissions is one of the big global challenges for the next decades due to its severe impact on the atmosphere that leads to a change in the climate and other environmental factors. One of the main sources of greenhouse gas is energy consumption, therefore a number of initiatives and calls for awareness and sustainability in energy use are issued among different types of institutional and organizations. The European Council adopted in 2007 energy and climate change objectives for 20% improvement until 2020. All European countries are required to use energy with more efficiency. Several steps could be conducted for energy reduction: understanding the buildings behavior through time, revealing the factors that influence the consumption, applying the right measurement for reduction and sustainability, visualizing the hidden connection between our daily habits impacts on the natural world and promoting to more sustainable life. Researchers have suggested that feedback visualization can effectively encourage conservation with energy reduction rate of 18%. Furthermore, researchers have contributed to the identification process of a set of factors which are very likely to influence consumption. Such as occupancy level, occupants behavior, environmental conditions, building thermal envelope, climate zones, etc. Nowadays, the amount of energy consumption at the university campuses are huge and it needs great effort to meet the reduction requested by European Council as well as the cost reduction. Thus, the present study was performed on the university buildings as a use case to: a. Investigate the most dynamic influence factors on energy consumption in campus; b. Implement prediction model for electricity consumption using different techniques, such as the traditional regression way and the alternative machine learning techniques; and c. Assist energy management by providing a real time energy feedback and visualization in campus for more awareness and better decision making. This methodology is implemented to the use case of University Jaume I (UJI), located in Castellon, Spain.

Creation of a web application for smart park system and parking prediction study for system integration

In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.