Novel critical phenomena in optimization driven processes on networks

The work presented in this Ph.D thesis was developed in the context of complex network theory, from a statistical physics standpoint. We examine two distinct problems in this research field, taking a special interest in their respective critical properties. In both cases, the emergence of criticality is driven by a local optimization dynamics. Firstly, a recently introduced class of percolation problems that attracted a significant amount of attention from the scientific community, and was quickly followed up by an abundance of other works. Percolation transitions were believed to be continuous, until, recently, an 'explosive' percolation problem was reported to undergo a discontinuous transition, in [93]. The system's evolution is driven by a metropolis-like algorithm, apparently producing a discontinuous jump on the giant component's size at the percolation threshold. This finding was subsequently supported by number of other experimental studies [96, 97, 98, 99, 100, 101]. However, in [1] we have proved that the explosive percolation transition is actually continuous. The discontinuity which was observed in the evolution of the giant component's relative size is explained by the unusual smallness of the corresponding critical exponent, combined with the finiteness of the systems considered in experiments. Therefore, the size of the jump vanishes as the system's size goes to infinity. Additionally, we provide the complete theoretical description of the critical properties for a generalized version of the explosive percolation model [2], as well as a method [3] for a precise calculation of percolation's critical properties from numerical data (useful when exact results are not available). Secondly, we study a network flow optimization model, where the dynamics consists of consecutive mergings and splittings of currents flowing in the network. The current conservation constraint does not impose any particular criterion for the split of current among channels outgoing nodes, allowing us to introduce an asymmetrical rule, observed in several real systems. We solved analytically the dynamic equations describing this model in the high and low current regimes. The solutions found are compared with numerical results, for the two regimes, showing an excellent agreement. Surprisingly, in the low current regime, this model exhibits some features usually associated with continuous phase transitions.

Qualidade, sustentabilidade e FCS: o caso de uma IES privada no Brasil

Este trabalho de investigação foi realizado com o objetivo geral de se descobrir quais são os Fatores Críticos de Sucesso e os aspectos chaves de qualidade e sustentabilidade, a serem considerados no ensino de Engenharia de Produção em um IES privada no Brasil. No presente estudo de caso executou-se uma revisão teórica sistemática nas áreas temáticas da pesquisa, que propiciou a criação de um framework que define os 7 Fatores Críticos de Sucesso ao ensino de Engenharia de Produção, apontando sua divisão nas áreas de qualidade e sustentabilidade, e, por fim, a subdivisão em 6 subáreas de ações operacionais a serem consideradas pela gestão de IES para alcançar melhorias de desempenho em suas atividades. Posteriormente ao levantamento teórico, foi realizado o estudo de caso propriamente dito, que dividiu-se em duas etapas, uma qualitativa e uma quantitativa. Na primeira elaborou-se um roteiro de entrevista em profundidade aplicada a um terço do corpo docente do curso em estudo, captando a impressão destes sobre as temáticas em estudo voltadas à execução de suas atividades. Os dados obtidos foram organizados com o auxílio do software WebQDA, gerando ideias do que deve ser trabalhado para melhorar as condições e resultados do referido curso. A etapa quantitativa foi iniciada com a elaboração de um questionário on-line, desenvolvido a partir do enquadramento teórico e da informação obtida na parte qualitativa do estudo, que envolveu respostas de cerca de dois terços dos discentes de Engenharia de Produção. A informação foi recolhida através de um formulário disponibilizado pelo googledocs, e os resultados foram analisados com o auxílio do software SPSS, permitindo conhecer as expectativas e percepções dos alunos e, consequentemente, os gaps provenientes a serem trabalhados. Finalmente, o estudo revelou que para aspectos de qualidade, os pontos de tangibilidade, como infraestrutura geral, laboratórios técnicos específicos, cantina e biblioteca, precisam ser melhorados, e, para aspectos de sustentabilidade, surge a necessidade de melhorar as formas de divulgação do curso, captação de alunos e propostas para a retenção dos mesmos para outros cursos e projetos da IES. Deste modo, o trabalho desenvolvido atingiu seu objetivo e se mostrou válido para aplicações na IES e em outros cursos da mesma (com as devidas adaptações). Fica como recomendação final aplicar o estudo periodicamente para se captar as mudanças situacionais que ocorrerem, manter um controle eficiente dos aspectos estudados e gerar melhorias contínuas no curso estudado e na própria IES.

International cooperation for development in tourism destinations

The main goal of this thesis is to propose a conceptual theoretical model of critical success factors of International Development Cooperation programmes that are based in knowledge transfer approaches in the context of tourism development. The research was structured around three main theoretical pillars: international development cooperation (IDC), tourism as a tool for development, and knowledge transfer (KT). By exploring these pillars´ main interrelations, it was possible to gather the necessary background to develop the theoretical model and apply it to a real context. It was adopted a qualitative research approach using as a case study an IDC programme in tourism - the UNWTO.Volunteers programme. The key contribution of this thesis in the theoretical realm is the bridging of fields of study that are insufficiently covered in the scientific literature. The resulting model proposal applied to a real context of an IDC programme implementation permitted to test it partially providing useful insights for future research. It is postulated that IDC programmes in these contexts constitute a process rather than an end in itself. Therefore, they should be seen as a way of changing the state of the art of the tourism system in a sustainable manner so that it potentially generates positive development changes. This study suggested that it is not possible to achieve positive results if, instead of encouraging a KT and learning environment, it is simply disseminated knowledge in a linear, static, north-south approach. The characteristics of these interventions should be reviewed in that it was found that it is very difficult to guarantee the maintenance of the development changes induced by them if it is not safeguarded the necessary conditions and accountability to implement the recommended actions. While it was perceived a great potential for development changes to be induced by some IDC programmes in tourism destinations, it was concluded that these processes are too much dependent on the local political systems and existing power relations, as well as on the level of tourism development of the destination. However, more research is needed to examine the ability to generalise the findings to other IDC programmes and different destinations of developing countries.

Phase transitions and nonlinear phenomena in neuronal network models

Communication and cooperation between billions of neurons underlie the power of the brain. How do complex functions of the brain arise from its cellular constituents? How do groups of neurons self-organize into patterns of activity? These are crucial questions in neuroscience. In order to answer them, it is necessary to have solid theoretical understanding of how single neurons communicate at the microscopic level, and how cooperative activity emerges. In this thesis we aim to understand how complex collective phenomena can arise in a simple model of neuronal networks. We use a model with balanced excitation and inhibition and complex network architecture, and we develop analytical and numerical methods for describing its neuronal dynamics. We study how interaction between neurons generates various collective phenomena, such as spontaneous appearance of network oscillations and seizures, and early warnings of these transitions in neuronal networks. Within our model, we show that phase transitions separate various dynamical regimes, and we investigate the corresponding bifurcations and critical phenomena. It permits us to suggest a qualitative explanation of the Berger effect, and to investigate phenomena such as avalanches, band-pass filter, and stochastic resonance. The role of modular structure in the detection of weak signals is also discussed. Moreover, we find nonlinear excitations that can describe paroxysmal spikes observed in electroencephalograms from epileptic brains. It allows us to propose a method to predict epileptic seizures. Memory and learning are key functions of the brain. There are evidences that these processes result from dynamical changes in the structure of the brain. At the microscopic level, synaptic connections are plastic and are modified according to the dynamics of neurons. Thus, we generalize our cortical model to take into account synaptic plasticity and we show that the repertoire of dynamical regimes becomes richer. In particular, we find mixed-mode oscillations and a chaotic regime in neuronal network dynamics.

Regional and urban air quality modelling under a climate change scenario

The better understanding of the interactions between climate change and air quality is an emerging priority for research and policy. Climate change will bring changes in the climate system, which will affect the concentration and dispersion of air pollutants. The main objective of the current study is to assess the impacts of climate change on air quality in 2050 over Portugal and Porto urban area. First, an evaluation and characterization of the air quality over mainland Portugal was performed for the period between 2002 and 2012. The results show that NO2, PM10 and O3 are the critical pollutants in Portugal. Also, the influence of meteorology on O3, NO2 and PM10 levels was investigate in the national main urban areas (Porto and Lisboa) and was verified that O3 has a statistically significant relationship with temperature in most of the components. The results also indicate that emission control strategies are primary regulators for NO2 and PM10 levels. After, understanding the national air quality problems and the influence that meteorology had in the historical air quality levels, the air quality modelling system WRF-CAMx was tested and the required inputs for the simulations were prepared to fulfil the main goal of this work. For the required air quality modelling inputs, an Emission Projections under RCP scenarios (EmiPro-RCP) model was developed to assist the estimation of future emission inventories for GHG and common air pollutants. Also, the current emissions were estimated for Portugal with a higher detailed disaggregation to improve the performance of the air quality simulations. The air quality modelling system WRF/CAMx was tested and evaluated over Portugal and Porto urban area and the results point out that is an adequate tool for the analysis of air quality under climate change. For this purpose, regional simulations of air quality during historical period and future (2045-2050) were conducted with CAMx version 6.0 to evaluate the impacts of simulated future climate and anthropogenic emission projections on air quality over the study area. The climate and the emission projections were produced under the RCP8.5 scenario. The results from the simulations point out, that if the anthropogenic emissions keep the same in 2050, the concentrations of NO2, PM10 and O3 will increase in Portugal. When, besides the climate change effects, is consider the projected anthropogenic emissions the annual mean concentrations of NO2 decrease significantly in Portugal and Porto urban area, and on the contrary the annual mean PM10 concentrations increases in Portugal and decrease in Porto urban area. The O3 results are mainly caused by the reduction of ozone precursors, getting the higher reductions in urban areas and increases in the surrounding areas. All the analysis performed for both simulations for Porto urban area support that, for PM10 and O3, there will be an increase in the occurrence of extreme values, surpassing the annual legislated parameters and having more daily exceedances. This study constitutes an innovative scientific tool to help in future air quality management in order to mitigate future climate change impacts on air quality.

Avaliação ambiental estratégica de Planos Diretores Municipais

O objetivo do presente relatório de estágio é clarificar e sistematizar alguns conceitos associados à Avaliação Ambiental Estratégica (AAE) de Instrumentos de Gestão Territorial (IGT), e expor a aplicação desta ferramenta a um Plano Diretor Municipal (PDM). A Avaliação Ambiental Estratégica é um instrumento de avaliação da política de ambiente aplicado ao processo de planeamento para garantir que as considerações ambientais são integradas, a par das questões económicas e sociais, durante a fase de elaboração de planos e programas e antes da sua aprovação, com a finalidade de promover a adoção de soluções mais sustentáveis e o estabelecimento de diretrizes de seguimento que minimizem os impactes negativos. Em Portugal, a aplicação desta ferramenta de avaliação é um procedimento obrigatório desde a transposição da Diretiva 2001/42/CE, de 27 de junho para a ordem jurídica interna pelo Decreto-Lei n.º 232/2007, de 15 de junho. O processo de AAE desenvolve-se em três fases essenciais: o estabelecimento dos fatores críticos para a decisão, a avaliação e o seguimento. Este relatório de estágio analisa a aplicação da AAE à 1ª revisão do Plano Diretor Municipal de Castelo de Vide, onde se conclui que a identificação das oportunidades e riscos resultantes da estratégia de desenvolvimento territorial contribui para a prossecução do desenvolvimento sustentável e para uma tomada de decisão mais adequada.