Detection of quasi-periodic processes in complex systems: how do we quantitatively describe their properties?

It has been shown that in reality at least two general scenarios of data structuring are possible: (a) a self-similar (SS) scenario when the measured data form an SS structure and (b) a quasi-periodic (QP) scenario when the repeated (strongly correlated) data form random sequences that are almost periodic with respect to each other. In the second case it becomes possible to describe their behavior and express a part of their randomness quantitatively in terms of the deterministic amplitude–frequency response belonging to the generalized Prony spectrum. This possibility allows us to re-examine the conventional concept of measurements and opens a new way for the description of a wide set of different data. In particular, it concerns different complex systems when the ‘best-fit’ model pretending to be the description of the data measured is absent but the barest necessity of description of these data in terms of the reduced number of quantitative parameters exists. The possibilities of the proposed approach and detection algorithm of the QP processes were demonstrated on actual data: spectroscopic data recorded for pure water and acoustic data for a test hole. The suggested methodology allows revising the accepted classification of different incommensurable and self-affine spatial structures and finding accurate interpretation of the generalized Prony spectroscopy that includes the Fourier spectroscopy as a partial case.

O conhecimento e inovação como factor de sucesso de uma organização : o caso Sport Lisboa e Benfica

Mestrado em Gestão e Empreendedorismo

Aplicação do multi-layer stream mapping para a gestão da eficiência de recursos e produtividade de um sistema de produção

Mestrado em Engenharia Mecânica – Especialização Gestão Industrial

Scenarios Generation for Multi-Agent simulation of Electricity Markets based on Intelligent Data Analysis

This document presents a tool able to automatically gather data provided by real energy markets and to generate scenarios, capture and improve market players’ profiles and strategies by using knowledge discovery processes in databases supported by artificial intelligence techniques, data mining algorithms and machine learning methods. It provides the means for generating scenarios with different dimensions and characteristics, ensuring the representation of real and adapted markets, and their participating entities. The scenarios generator module enhances the MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) simulator, endowing a more effective tool for decision support. The achievements from the implementation of the proposed module enables researchers and electricity markets’ participating entities to analyze data, create real scenarios and make experiments with them. On the other hand, applying knowledge discovery techniques to real data also allows the improvement of MASCEM agents’ profiles and strategies resulting in a better representation of real market players’ behavior. This work aims to improve the comprehension of electricity markets and the interactions among the involved entities through adequate multi-agent simulation.

Data Mining Approach to support the Generation of Realistic Scenarios for Multi-Agent simulation of Electricity Markets

This paper presents the Realistic Scenarios Generator (RealScen), a tool that processes data from real electricity markets to generate realistic scenarios that enable the modeling of electricity market players’ characteristics and strategic behavior. The proposed tool provides significant advantages to the decision making process in an electricity market environment, especially when coupled with a multi-agent electricity markets simulator. The generation of realistic scenarios is performed using mechanisms for intelligent data analysis, which are based on artificial intelligence and data mining algorithms. These techniques allow the study of realistic scenarios, adapted to the existing markets, and improve the representation of market entities as software agents, enabling a detailed modeling of their profiles and strategies. This work contributes significantly to the understanding of the interactions between the entities acting in electricity markets by increasing the capability and realism of market simulations.

Functional and molecular characterization of SR45, a plant-specific factor involved in sugar and stress signaling in Arabidopsis thaliana

Dissertation presented to obtain the Ph.D degree in Molecular Biology

Serpentine bacteria influence metal translocation and bioconcentration of Brassica juncea and Ricinus communis grown in multi-metal polluted soils

The aim of this study was to assess the effects of inoculation of rhizosphere or endophytic bacteria (Psychrobacter sp. SRS8 and Pseudomonas sp. A3R3, respectively) isolated from a serpentine environment on the plant growth and the translocation and accumulation of Ni, Zn, and Fe by Brassica juncea and Ricinus communis on a multi-metal polluted serpentine soil (SS). Field collected SS was diluted to 0, 25, 50, and 75% with pristine soil in order to obtain a range of heavy metal concentrations and used in microcosm experiments. Regardless of inoculation with bacteria, the biomass of both plant species decreased with increase of the proportion of SS. Inoculation of plants with bacteria significantly increased the plant biomass and the heavy metal accumulation compared with non-inoculated control in the presence of different proportion of SS, which was attributed to the production of plant growth promoting and/or metal mobilizing metabolites by bacteria. However, SRS8 showed a maximum increase in the biomass of the test plants grown even in the treatment of 75% SS. In turn, A3R3 showed maximum effects on the accumulation of heavy metals in both plants. Regardless of inoculation of bacteria and proportion of SS, both plant species exhibited low values of bioconcentration factor (<1) for Ni and Fe. The inoculation of both bacterial strains significantly increased the translocation factor (TF) of Ni while decreasing the TF of Zn in both plant species. Besides this contrasting effect, the TFs of all metals were <1, indicating that all studied bacteria–plant combinations are suitable for phytostabilization. This study demonstrates that the bacterial isolates A3R3 and SRS8 improved the growth of B. juncea and R. communis in SS soils and have a great potential to be used as inoculants in phytostabilization scenarios of multi-metal contaminated soils.

Energy analysis of Multi-legged Locomotion Systems

4th International Conference on Climbing and Walking Robots - From Biology to Industrial Applications

The Arterial Switch Operation in Europe for Transposition of the Great Arteries: a Multi-Institutional Study from the European Congenital Heart Surgeons Association

OBJECTIVES: This study analyzes the results of the arterial switch operation for transposition of the great arteries in member institutions of the European Congenital Heart Surgeons Association. METHODS: The records of 613 patients who underwent primary arterial switch operations in each of 19 participating institutions in the period from January 1998 through December 2000 were reviewed retrospectively. RESULTS: A ventricular septal defect was present in 186 (30%) patients. Coronary anatomy was type A in 69% of the patients, and aortic arch pathology was present in 20% of patients with ventricular septal defect. Rashkind septostomy was performed in 75% of the patients, and 69% received prostaglandin. There were 37 hospital deaths (operative mortality, 6%), 13 (3%) for patients with an intact ventricular septum and 24 (13%) for those with a ventricular septal defect (P < .001). In 36% delayed sternal closure was performed, 8% required peritoneal dialysis, and 2% required mechanical circulatory support. Median ventilation time was 58 hours, and intensive care and hospital stay were 6 and 14 days, respectively. Although of various preoperative risk factors the presence of a ventricular septal defect, arch pathology, and coronary anomalies were univariate predictors of operative mortality, only the presence of a ventricular septal defect approached statistical significance (P = .06) on multivariable analysis. Of various operative parameters, aortic crossclamp time and delayed sternal closure were also univariate predictors; however, only the latter was an independent statistically significant predictor of death. CONCLUSIONS: Results of the procedure in European centers are compatible with those in the literature. The presence of a ventricular septal defect is the clinically most important preoperative risk factor for operative death, approaching statistical significance on multivariable analysis.

Development of integrated separation processes with green solvents

Dissertação para obtenção do Grau de Doutor em Química Sustentável

A Idade é uma Variável Preditora da Funcionalidade após Acidente Vascular Cerebral? Um Estudo Multi-Análises

Existem diversos factores que podem influenciar o prognóstico funcional nos doentes com Acidente Vascular Cerebral (AVC), nomeadamente o hemisfério afectado, severidade do deficit neurológico inicial, presença de comorbilidades, etiologia, entre outros. A idade como factor preditivo na reabilitação destes doentes tem sido alvo de controvérsia. O objectivo deste trabalho foi avaliar a idade como variável preditiva de funcionalidade após AVC. Os autores recolheram retrospectivamente os dados dos processos clínicos dos doentes internados para reabilitação no Serviço de MFR do Hospital de Curry Cabral durante o ano de 2008, tendo como critério de inclusão diagnóstico de AVC. A funcionalidade foi avaliada à entrada e à saída do internamento, com a Medida de Independência Funcional (MIF) e o Índice de Barthel (IB). Os doentes com idade igual ou inferior a 45 anos foram considerados jovens adultos. Foi realizado o emparelhamento de doentes em casos-controlo. Para cada caso de AVC no adulto jovem os critérios de emparelhamento foram: idade> 45 anos, o mesmo tipo de AVC e hemisfério envolvido e igual MIF à entrada (mais ou menos três pontos). Para tratamento estatístico foi utilizado o programa SPSS 13.0. Foram recolhidos dados de 69 doentes com AVC, dos quais 12 foram considerados adultos jovens (38 +-5 anos). Quando comparados com os doentes mais velhos, os adultos jovens saíram com uma MIF maior (101 Vs 88 pontos; p=0,04), sem que se verificassem diferenças estatisticamente significativas em relação a: MIF à entrada, IB à entrada e saída, eficiência da MIF ou duração do internamento. A idade jovem associou-se com um melhor valor de MIF à saída (r=0,33, p=0,006), mesmo quando se controlou para a MIF à entrada (r=0,23, p=0,05). Em relação à análise dos nove pares caso-controlo, não se verificaram diferenças entre os grupos nas medidas de funcionalidade à entrada e à saída, nem na duração do internamento. A idade correlacionou-se com funcionalidade à saída, sendo que os doentes mais jovens saíram mais funcionais. No entanto, na análise caso-controlo, quando se controlou para outras variáveis (e.g. tipo de AVC), a variável perdeu o seu valor preditivo. Estes resultados podem dever-se ao facto de o AVC no jovem adulto ter diferentes características, como um maior número de eventos hemorrágicos. Nesta amostra, os jovens adultos tiveram igual número de AVC isquémicos e hemorrágicos (seis) e o grupo mais velho teve apenas 23% eventos hemorrágicos (p=0,07). É conhecido o melhor prognóstico funcional deste tipo de AVC, quando não associados a mortalidade precoce. Este estudo apresenta algumas limitações: o tamanho da amostra; o facto de a MIF e o IB não serem medidas de funcionalidade desenvolvidas especificamente para doentes com AVC; um viés de selecção, pois somente alguns doentes são incluídos em programa de reabilitação em internamento; o momento de avaliação da funcionalidade residual foi á saída do internamento, apenas algumas semanas pós-AVC. A idade jovem parece associar-se a um melhor prognóstico funcional. Este aspecto pode estar associado ao facto de o AVC nos doentes mais novos ter características diferentes (e.g. maior proporção de AVC hemorrágico), normalmente associadas a uma recuperação mais favorável.

Enhancing physical activity coaching through personalized motivational strategies and self-adaptive goal-setting: development of self-adaptive processes in a monitoring and coaching smartphone application

Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

Structural investigation of the Bacillus subtilis morphogenic factor RodZ

A thesis to obtain a Master degree in Structural and Functional Biochemistry

STRUCTURE-FUNCTION ANALYSIS OF MULTI-COPPER OXIDASES

Dissertation presented to obtain the Ph.D degree in Biochemistry, Structural Biochemistry

Strategic design of There App’s business model: From product to multi-sided platform

The following work project illustrates the strategic issues There App, a mobile application, faces regarding the opportunity to expand from its current state as a product to a multisided platform. Initially, a market analysis is performed to identify the ideal customer groups to be integrated in the platform. Strategic design issues are then discussed on how to best match its value proposition with the identified market opportunity. Suggestions on how the company should organize its resources and operational processes to best deliver on its value proposition complete the work.