Hub-and-spoke Interoperability: an out of the skies approach for large-scale data interoperability

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

Modeling and visualization of medical anesthesiology acts

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Valuation of marine and coastal ecosystems: The role of ecological-economic modeling

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

Computational modeling of prefrontal cortex circuits

Dissertation presented to obtain the Ph.D degree in Biology

Quality of process modeling using BPMN: a model-driven approach

Dissertação para obtenção do Grau de Doutor em Engenharia Informática

Correction of the anisotropy in resistivity: application to pore pressure prediction

Dissertação para obtenção do Grau de Mestre em Engenharia Geológica (Georrecursos)

Predictive analytical and numerical modeling for orthogonal cutting

In this thesis, a predictive analytical and numerical modeling approach for the orthogonal cutting process is proposed to calculate temperature distributions and subsequently, forces and stress distributions. The models proposed include a constitutive model for the material being cut based on the work of Weber, a model for the shear plane based on Merchants model, a model describing the contribution of friction based on Zorev’s approach, a model for the effect of wear on the tool based on the work of Waldorf, and a thermal model based on the works of Komanduri and Hou, with a fraction heat partition for a non-uniform distribution of the heat in the interfaces, but extended to encompass a set of contributions to the global temperature rise of chip, tool and work piece. The models proposed in this work, try to avoid from experimental based values or expressions, and simplifying assumptions or suppositions, as much as possible. On a thermo-physical point of view, the results were affected not only by the mechanical or cutting parameters chosen, but also by their coupling effects, instead of the simplifying way of modeling which is to contemplate only the direct effect of the variation of a parameter. The implementation of these models was performed using the MATLAB environment. Since it was possible to find in the literature all the parameters for AISI 1045 and AISI O2, these materials were used to run the simulations in order to avoid arbitrary assumption.

New visualization model for large scale biosignals analysis

Benefits of long-term monitoring have drawn considerable attention in healthcare. Since the acquired data provides an important source of information to clinicians and researchers, the choice for long-term monitoring studies has become frequent. However, long-term monitoring can result in massive datasets, which makes the analysis of the acquired biosignals a challenge. In this case, visualization, which is a key point in signal analysis, presents several limitations and the annotations handling in which some machine learning algorithms depend on, turn out to be a complex task. In order to overcome these problems a novel web-based application for biosignals visualization and annotation in a fast and user friendly way was developed. This was possible through the study and implementation of a visualization model. The main process of this model, the visualization process, comprised the constitution of the domain problem, the abstraction design, the development of a multilevel visualization and the study and choice of the visualization techniques that better communicate the information carried by the data. In a second process, the visual encoding variables were the study target. Finally, the improved interaction exploration techniques were implemented where the annotation handling stands out. Three case studies are presented and discussed and a usability study supports the reliability of the implemented work.

Application of geographic information system and modelling in health impact assessment for urban road mobility in Vietnam

Transport is an essential sector in modern societies. It connects economic sectors and industries. Next to its contribution to economic development and social interconnection, it also causes adverse impacts on the environment and results in health hazards. Transport is a major source of ground air pollution, especially in urban areas, and therefore contributing to the health problems, such as cardiovascular and respiratory diseases, cancer, and physical injuries. This thesis presents the results of a health risk assessment that quantifies the mortality and the diseases associated with particulate matter pollution resulting from urban road transport in Hai Phong City, Vietnam. The focus is on the integration of modelling and GIS approaches in the exposure analysis to increase the accuracy of the assessment and to produce timely and consistent assessment results. The modelling was done to estimate traffic conditions and concentrations of particulate matters based on geo-references data. A simplified health risk assessment was also done for Ha Noi based on monitoring data that allows a comparison of the results between the two cases. The results of the case studies show that health risk assessment based on modelling data can provide a much more detail results and allows assessing health impacts of different mobility development options at micro level. The use of modeling and GIS as a common platform for the integration of different assessments (environmental, health, socio-economic, etc.) provides various strengths, especially in capitalising on the available data stored in different units and forms and allows handling large amount of data. The use of models and GIS in a health risk assessment, from a decision making point of view, can reduce the processing/waiting time while providing a view at different scales: from micro scale (sections of a city) to a macro scale. It also helps visualising the links between air quality and health outcomes which is useful discussing different development options. However, a number of improvements can be made to further advance the integration. An improved integration programme of the data will facilitate the application of integrated models in policy-making. Data on mobility survey, environmental monitoring and measuring must be standardised and legalised. Various traffic models, together with emission and dispersion models, should be tested and more attention should be given to their uncertainty and sensitivity

Land cover mapping analysis and urban growth modeling using remote sensing techniques

The rapid growth of big cities has been noticed since 1950s when the majority of world population turned to live in urban areas rather than villages, seeking better job opportunities and higher quality of services and lifestyle circumstances. This demographic transition from rural to urban is expected to have a continuous increase. Governments, especially in less developed countries, are going to face more challenges in different sectors, raising the essence of understanding the spatial pattern of the growth for an effective urban planning. The study aimed to detect, analyse and model the urban growth in Greater Cairo Region (GCR) as one of the fast growing mega cities in the world using remote sensing data. Knowing the current and estimated urbanization situation in GCR will help decision makers in Egypt to adjust their plans and develop new ones. These plans should focus on resources reallocation to overcome the problems arising in the future and to achieve a sustainable development of urban areas, especially after the high percentage of illegal settlements which took place in the last decades. The study focused on a period of 30 years; from 1984 to 2014, and the major transitions to urban were modelled to predict the future scenarios in 2025. Three satellite images of different time stamps (1984, 2003 and 2014) were classified using Support Vector Machines (SVM) classifier, then the land cover changes were detected by applying a high level mapping technique. Later the results were analyzed for higher accurate estimations of the urban growth in the future in 2025 using Land Change Modeler (LCM) embedded in IDRISI software. Moreover, the spatial and temporal urban growth patterns were analyzed using statistical metrics developed in FRAGSTATS software. The study resulted in an overall classification accuracy of 96%, 97.3% and 96.3% for 1984, 2003 and 2014’s map, respectively. Between 1984 and 2003, 19 179 hectares of vegetation and 21 417 hectares of desert changed to urban, while from 2003 to 2014, the transitions to urban from both land cover classes were found to be 16 486 and 31 045 hectares, respectively. The model results indicated that 14% of the vegetation and 4% of the desert in 2014 will turn into urban in 2025, representing 16 512 and 24 687 hectares, respectively.

Adaptação cultural e contributo para a validação da pain attitudes and believes scale for physiotherapists (PABS-PT) para a população de fisioterapeutas portugueses

RESUMO: Introdução: Vários estudos têm encontrado evidência para a relação entre as crenças e atitudes dos profissionais de saúde, a sua abordagem de tratamento, referida como orientada segundo o modelo biomédico ou modelo biopsicossocial (Bishop, 2008; Mutsaers, 2012), e os resultados obtidos. É sugerido que, no tratamento da dor lombar crónica, os profissionais que orientam o seu raciocínio e prática segundo o modelo biomédico, tendem a obter piores resultados quando comparados com os obtidos pelos profissionais que orientam o seu raciocínio e prática segundo uma abordagem biopsicossocial. Esta área de estudo tem salientado a importância de desenhar instrumentos capazes de identificar a orientação preferencial dos profissionais de saúde no tratamento da dor crónica de natureza músculo-esquelética, entre os quais se encontra a “Pain Attitudes and Beliefs Scale for Physiotherapists” (PABS-PT). Objetivo: Adaptar culturalmente a PABS-PT para a população de fisioterapeutas portugueses que intervêm em utentes com dor (lombar) crónica, e contribuir para a sua validação Metodologia: A versão original (língua inglesa) do PABS-PT foi adaptada para a língua e cultura portuguesas, através das etapas definidas nas normas orientadoras estabelecidas para este processo (Beaton et al., 2002; MAPI Institute, 2001). A avaliação das propriedades psicométricas da versão portuguesa foi realizada com recurso a uma amostra de 202 fisioterapeutas e estudantes finalistas do curso de licenciatura em Fisioterapia. Inicialmente foi realizada a análise fatorial exploratória da escala através do método das componentes principais. Posteriormente avaliou-se a consistência interna das componentes obtidas com recurso ao alpha de Cronbach (α). Para analisar a validade de constructo foram correlacionadas as componentes obtidas com a versão portuguesa da “Health Care Providers’ Pain and Impairment Relationship Scale” (HC-PAIRS), recorrendo ao cálculo do coeficiente de Spearman. Resultados: O processo de adaptação cultural não revelou dificuldades importantes sendo considerado que a versão portuguesa da PABS-PT é de fácil compreensão e preenchimento, e os seus itens adequados para avaliar as crenças e atitudes dos fisioterapeutas portugueses relativas à intervenção na dor crónica músculo-esquelética. Os resultados revelaram uma estrutura fatorial de duas componentes, identificadas com as componentes da escala original que explicam 30,96% da variância total. A consistência interna encontrada é boa, para a componente biomédica (α de Cronbach = 0,826), mas muito fraca para a componente biopsicossocial (α de Cronbach= 0,589). Relativamente à validade convergente e discriminativa, foi encontrada uma associação estatisticamente significativa e positiva, entre as componentes 1 (biomédica) da versão nportuguesa da PABS e a HC-PAIRS (Rs = 0,481, p≤ 0,005), e negativa, fraca e significativa entre a pontuação total da componente 2 (biopsicossocial) e a HC-PAIRS (Rs = -0,038, p=0,612). Conclusão: A versão portuguesa do PABS-PT é de fácil compreensão e aparenta ser um instrumento válido para a medição da orientação preferencial dos fisioterapeutas, relativamente às suas atitudes e crenças na avaliação e tratamento de utentes com dor crónica de natureza músculo-esquelética. No entanto, a componente biopsicossocial requer uma análise mais aprofundada para que possa, com rigor, ser utilizada na definição de uma orientação preferencialmente biopsicossocial.--------------ABSTRACT: Introduction: Previous studies have found a relation between the beliefs and attitudes of health professionals, their treatment approach, which can follows a biomedical or a biopsychosocial orientation (Bishop, 2008; Mutsaers, 2012), and the outcomes obtained. Therefore, is suggested that the professionals who tend to approach chronic low back pain patients according to the biomedical model have worse outcomes than professionals who use a biopsychosocial approach in there clinical reasoning. This research field has highlighted the importance of developing measures capable of identifying the preferred orientation of health professionals in the treatment of chronic pain of musculoskeletal nature, including the “Pain Attitudes and Beliefs Scale for Physiotherapists” (PABS-PT). Objective: To cross culturally adapt and validate the PABS-PT for the Portuguese population of physiotherapists. Methodology: The original version (English version) of the PABS-PT was adapted to the Portuguese language and culture, through the guidelines established for these processes (Beaton et al., 2002; MAPI Institute, 2001). The psychometric evaluation of the Portuguese version was carried out on a sample of 202 p physiotherapist and final year students of the physiotherapy course. Initially, an exploratory factorial analysis was performed through the method of the main components. Then, the internal consistence of the main components was evaluated using the Cronbach’s alpha (α). The convergent construct validity was analysed through the correlation between the obtained components of PABS-PT and the Health Care Provider’s Pain and Impairment Relationship Scale (HC-PAIRS), using the Spearmen correlation coefficient. Results: No major difficulties were found during the cultural adaptation process of PABS-PT to Portugal, which means that the Portuguese version is easy to understand and fulfill, and items are appropriated to evaluate the beliefs and attitudes of the Portuguese physiotherapists who treat chronic pain of musculoskeletal origins. The results revealed a factorial structure of two components, as the original scale, explaining 30,96% of the total variance. Internal consistence results were good, for the biomedical component (Cronbach’s α = 0,826), but very weak for the biopsychosocial componente (Cronbach’s α = 0,589). Relatively to convergent and discriminative validity, a statistically significant association was found, between the components 1 (biomedical) of the Portuguese version of PABS-PT and the HC-PAIRS (Rs= 0,481, p≤ 0,005) and negative, weak and significant between the total score of component 2 (biopsychosocial) and the HC-PAIRS (Rs = -0,038, p=0,612). Conclusion: The Portuguese Version of PABS-PT is easy to understand and seems to be a valid instrument to measure the attitudes and beliefs of physiotherapists in the management of patients with chronic low back pain. However, the biopsychosocial component requires a further deep analysis to examine a preferable biopsychosocial orientation.

Experimental and modeling studies on reverse electrodialysis for sustainable power generation

A potentially renewable and sustainable source of energy is the chemical energy associated with solvation of salts. Mixing of two aqueous streams with different saline concentrations is spontaneous and releases energy. The global theoretically obtainable power from salinity gradient energy due to World’s rivers discharge into the oceans has been estimated to be within the range of 1.4-2.6 TW. Reverse electrodialysis (RED) is one of the emerging, membrane-based, technologies for harvesting the salinity gradient energy. A common RED stack is composed by alternately-arranged cation- and anion-exchange membranes, stacked between two electrodes. The compartments between the membranes are alternately fed with concentrated (e.g., sea water) and dilute (e.g., river water) saline solutions. Migration of the respective counter-ions through the membranes leads to ionic current between the electrodes, where an appropriate redox pair converts the chemical salinity gradient energy into electrical energy. Given the importance of the need for new sources of energy for power generation, the present study aims at better understanding and solving current challenges, associated with the RED stack design, fluid dynamics, ionic mass transfer and long-term RED stack performance with natural saline solutions as feedwaters. Chronopotentiometry was used to determinate diffusion boundary layer (DBL) thickness from diffusion relaxation data and the flow entrance effects on mass transfer were found to avail a power generation increase in RED stacks. Increasing the linear flow velocity also leads to a decrease of DBL thickness but on the cost of a higher pressure drop. Pressure drop inside RED stacks was successfully simulated by the developed mathematical model, in which contribution of several pressure drops, that until now have not been considered, was included. The effect of each pressure drop on the RED stack performance was identified and rationalized and guidelines for planning and/or optimization of RED stacks were derived. The design of new profiled membranes, with a chevron corrugation structure, was proposed using computational fluid dynamics (CFD) modeling. The performance of the suggested corrugation geometry was compared with the already existing ones, as well as with the use of conductive and non-conductive spacers. According to the estimations, use of chevron structures grants the highest net power density values, at the best compromise between the mass transfer coefficient and the pressure drop values. Finally, long-term experiments with natural waters were performed, during which fouling was experienced. For the first time, 2D fluorescence spectroscopy was used to monitor RED stack performance, with a dedicated focus on following fouling on ion-exchange membrane surfaces. To extract relevant information from fluorescence spectra, parallel factor analysis (PARAFAC) was performed. Moreover, the information obtained was then used to predict net power density, stack electric resistance and pressure drop by multivariate statistical models based on projection to latent structures (PLS) modeling. The use in such models of 2D fluorescence data, containing hidden, but extractable by PARAFAC, information about fouling on membrane surfaces, considerably improved the models fitting to the experimental data.

Modeling and forecasting value-at-risk for the Portuguese stock market

The aim of this work project is to find a model that is able to accurately forecast the daily Value-at-Risk for PSI-20 Index, independently of the market conditions, in order to expand empirical literature for the Portuguese stock market. Hence, two subsamples, representing more and less volatile periods, were modeled through unconditional and conditional volatility models (because it is what drives returns). All models were evaluated through Kupiec’s and Christoffersen’s tests, by comparing forecasts with actual results. Using an out-of-sample of 204 observations, it was found that a GARCH(1,1) is an accurate model for our purposes.

The impact of talent management practices on employee retention: The moderator effect of leader-member exchange and role modeling

Organizations are undergoing serious difficulties to retain talent. Authors argue that Talent Management (TM) practices create beneficial outcomes for individuals and organizations. However, there is no research on the leaders’ role in the functioning of these practices. This study examines how LMX and role modeling influence the impact that TM practices have on employees’ trust in their organizations and retention. The analysis of two questionnaires (Nt1=175; Nt2=107) indicated that TM only reduced turnover intentions, via an increase in trust in the organization, when role modeling was high and not when it was low. Therefore, we can say that leaders are crucial in the TM context, and in sustaining a competitive advantage for organizations.