Dor crónica lombar : incapacidada auto-reportada em trabalhadores de saúde e sua relação com variáveis psicossociais e intensidade da dor

RESUMO: A dor crónica lombar, é uma condição de saúde cuja prevalência tem aumentado nas últimas décadas. É uma condição que pode ser bastante incapacitante para o indivíduo e por consequência, ter importante impacto social e económico na sociedade. É um fenómeno complexo, multifactorial e pouco estudado na população portuguesa. Objectivo: Estudar a associação entre a catastrofização da dor, crenças de medo evitamento da dor, intensidade da dor e a incapacidade funcional auto reportada em indivíduos com dor crónica lombar. Metodologia: Estudo observacional analítico de corte transversal, com uma amostra de 38 indivíduos com dor crónica lombar, seleccionados a partir de uma população de 186 trabalhadores de uma unidade local de saúde. A recolha de dados foi realizada através de 4 instrumentos de avaliação: Questionário de caracterização e levantamento de factores de risco e impacto associados à dor crónica lombar; Questionário de incapacidade de Roland e Morris; Escala de catastrofização da dor; e Questionário de crenças de medo evitamento da dor. A análise dos dados foi feita através de estatística descritiva pela distribuição de frequências e medidas de tendência central para análise da prevalência e caracterização da amostra e por estatística inferencial para estudar as relações entre variáveis através do teste de correlação não paramétrico de Spearman. Resultados: A variável catastrofização da dor obteve um valor de correlação com a incapacidade auto-reportada de rs=0,473, para p<0,01; a variável crença de medo evitamento da dor relacionada com o trabalho obteve um valor de correlação com a incapacidade auto-reportada de rs=0,462 para p<0,01, a percepção da intensidade actual de dor e a intensidade percepcionada no ano anterior, obtiveram valores de correlação com a incapacidade auto-reportada de rs=0,327 e rs= 0,359 respectivamente para valor de p<0,05. Conclusão: As variáveis psicossociais catastrofização da dor e crença de medo evitamento da dor relacionada com o trabalho, influenciam de forma moderada a incapacidade em indivíduos com dor crónica lombar. A associação entre a intensidade da dor e a incapacidade parece ter um papel menos importante demonstrando associações baixas.--------------------------ABSTRACT: Chronic low back pain is a health condition whose prevalence has increased in recent decades. It is a condition that can be quite disabling for the individual and therefore have important social and economic impact on society. It is a complex phenomenon, multifactorial and poorly studied in the Portuguese population. Objective: To study the association between pain catastrophizing, fear avoidance beliefs, pain, pain intensity and self-reported functional disability in individuals with chronic low back pain. Methods: Observational analytical cross sectional study of a sample of 38 individuals with chronic low back pain, selected from a population of 186 workers at a local health unit. Data collection was performed through four assessment instruments: questionnaire characterization, evaluation of risk factors and impact associated to chronic low back pain, questionnaire Roland and Morris disability, pain catastrophizing scale and fear avoidance beliefs questionnaire. Data analysis was performed using descriptive statistics for the distribution of frequencies and measures of central tendency to analyze the prevalence and characteristics of the sample and inferential statistics to study the relationships between variables by testing for Spearman nonparametric correlation. Results: The pain catastrophizing variable had a correlation value rs= 0,473, p<0,01 with the self-reported disability, the variable of fear avoidance belief of pain related to the work achived a correlation value with the self-reported disability, rs = 0.462 p <0.01, current pain intensity and in the previous year obtained values of correlation with self-reported disability rs = 0.327 and rs = 0.359 respectively for values of p <0.05 .Conclusion: The psychosocial variables of pain catastrophizing and fear avoidance belief of pain related to the work had a moderate association with disability in individuals with chronic low back pain. The association between pain intensity and disability seems to have a less important role demonstrating low associations.

Electricity markets modeling considering complex contracts and aggregators

All over the world, the liberalization of electricity markets, which follows different paradigms, has created new challenges for those involved in this sector. In order to respond to these challenges, electric power systems suffered a significant restructuring in its mode of operation and planning. This restructuring resulted in a considerable increase of the electric sector competitiveness. Particularly, the Ancillary Services (AS) market has been target of constant renovations in its operation mode as it is a targeted market for the trading of services, which have as main objective to ensure the operation of electric power systems with appropriate levels of stability, safety, quality, equity and competitiveness. In this way, with the increasing penetration of distributed energy resources including distributed generation, demand response, storage units and electric vehicles, it is essential to develop new smarter and hierarchical methods of operation of electric power systems. As these resources are mostly connected to the distribution network, it is important to consider the introduction of this kind of resources in AS delivery in order to achieve greater reliability and cost efficiency of electrical power systems operation. The main contribution of this work is the design and development of mechanisms and methodologies of AS market and for energy and AS joint market, considering different management entities of transmission and distribution networks. Several models developed in this work consider the most common AS in the liberalized market environment: Regulation Down; Regulation Up; Spinning Reserve and Non-Spinning Reserve. The presented models consider different rules and ways of operation, such as the division of market by network areas, which allows the congestion management of interconnections between areas; or the ancillary service cascading process, which allows the replacement of AS of superior quality by lower quality of AS, ensuring a better economic performance of the market. A major contribution of this work is the development an innovative methodology of market clearing process to be used in the energy and AS joint market, able to ensure viable and feasible solutions in markets, where there are technical constraints in the transmission network involving its division into areas or regions. The proposed method is based on the determination of Bialek topological factors and considers the contribution of the dispatch for all services of increase of generation (energy, Regulation Up, Spinning and Non-Spinning reserves) in network congestion. The use of Bialek factors in each iteration of the proposed methodology allows limiting the bids in the market while ensuring that the solution is feasible in any context of system operation. Another important contribution of this work is the model of the contribution of distributed energy resources in the ancillary services. In this way, a Virtual Power Player (VPP) is considered in order to aggregate, manage and interact with distributed energy resources. The VPP manages all the agents aggregated, being able to supply AS to the system operator, with the main purpose of participation in electricity market. In order to ensure their participation in the AS, the VPP should have a set of contracts with the agents that include a set of diversified and adapted rules to each kind of distributed resource. All methodologies developed and implemented in this work have been integrated into the MASCEM simulator, which is a simulator based on a multi-agent system that allows to study complex operation of electricity markets. In this way, the developed methodologies allow the simulator to cover more operation contexts of the present and future of the electricity market. In this way, this dissertation offers a huge contribution to the AS market simulation, based on models and mechanisms currently used in several real markets, as well as the introduction of innovative methodologies of market clearing process on the energy and AS joint market. This dissertation presents five case studies; each one consists of multiple scenarios. The first case study illustrates the application of AS market simulation considering several bids of market players. The energy and ancillary services joint market simulation is exposed in the second case study. In the third case study it is developed a comparison between the simulation of the joint market methodology, in which the player bids to the ancillary services is considered by network areas and a reference methodology. The fourth case study presents the simulation of joint market methodology based on Bialek topological distribution factors applied to transmission network with 7 buses managed by a TSO. The last case study presents a joint market model simulation which considers the aggregation of small players to a VPP, as well as complex contracts related to these entities. The case study comprises a distribution network with 33 buses managed by VPP, which comprises several kinds of distributed resources, such as photovoltaic, CHP, fuel cells, wind turbines, biomass, small hydro, municipal solid waste, demand response, and storage units.

Mode-Controlled Data-Flow Modeling of Real-Time Memory Controllers

Accepted in 13th IEEE Symposium on Embedded Systems for Real-Time Multimedia (ESTIMedia 2015), Amsterdam, Netherlands.

Modeling Vegetable Fractals by means of Fractional-order Equations

This paper characterizes four ‘fractal vegetables’: (i) cauliflower (brassica oleracea var. Botrytis); (ii) broccoli (brassica oleracea var. italica); (iii) round cabbage (brassica oleracea var. capitata) and (iv) Brussels sprout (brassica oleracea var. gemmifera), by means of electrical impedance spectroscopy and fractional calculus tools. Experimental data is approximated using fractional-order models and the corresponding parameters are determined with a genetic algorithm. The Havriliak-Negami five-parameter model fits well into the data, demonstrating that classical formulae can constitute simple and reliable models to characterize biological structures.

A auto-eficácia dos alunos no ensino básico e o fenómeno do bullying

Dissertação de Mestrado em Ciências da Educação Especialização em Análise e Intervenção em Educação

A promoção da auto-eficácia na aprendizagem da história: estudo no 7º ano de escolaridade

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciências da Educação, área de especialização em Análise e Intervenção em Educação

Fractional Calculus: Application in modeling and control

This contribution introduces the fractional calculus (FC) fundamental mathematical aspects and discuses some of their consequences. Based on the FC concepts, the chapter reviews the main approaches for implementing fractional operators and discusses the adoption of FC in control systems. Finally are presented some applications in the areas of modeling and control, namely fractional PID, heat diffusion systems, electromagnetism, fractional electrical impedances, evolutionary algorithms, robotics, and nonlinear system control.

Modeling and Control of a Dragonfly-Like Robot

Dragonflies demonstrate unique and superior flight performances than most of the other insect species and birds. They are equipped with two pairs of independently controlled wings granting an unmatchable flying performance and robustness. In this paper it is studied the dynamics of a dragonfly-inspired robot. The system performance is analyzed in terms of time response and robustness. The development of computational simulation based on the dynamics of the robotic dragonfly allows the test of different control algorithms. We study different movement, the dynamics and the level of dexterity in wing motion of the dragonfly. The results are positive for the construction of flying platforms that effectively mimic the kinematics and dynamics of dragonflies and potentially exhibit superior flight performance than existing flying platforms.

System Modeling and Control Through Fractional-Order Algorithms

The theory of fractional calculus goes back to the beginning of thr throry of differential calculus but its inherent complexity postponed the applications of the associated concepts. In the last decade the progress in the areas of chaos and fractals revealed subtle relationships with the fractional calculus leading to an increasing interest in the development of the new paradigm. In the area of automaticcontrol preliminary work has already been carried out but the proposed algorithms are restricted to the frequency domain. The paper discusses the design of fractional-order discrete-time controllers. The algorithms studied adopt the time domein, which makes them suited for z-transform analusis and discrete-time implementation. The performance of discrete-time fractional-order controllers with linear and non-linear systems is also investigated.

Environmental modeling with precision navigation using ROAZ autonomous surface vehicle

The use of robotic vehicles for environmental modeling is discussed. This paper presents diverse results in autonomous marine missions with the ROAZ autonomous surface vehicle. The vehicle can perform autonomous missions while gathering marine data with high inertial and positioning precision. The underwater world is an, economical and environmental, asset that need new tools to study and preserve it. ROAZ is used in marine environment missions since it can sense and monitor the surface and underwater scenarios. Is equipped with a diverse set of sensors, cameras and underwater sonars that generate 3D environmental models. It is used for study the marine life and possible underwater wrecks that can pollute or be a danger to marine navigation. The 3D model and integration of multibeam and sidescan sonars represent a challenge in nowadays. Adding that it is important that robots can explore an area and make decisions based on their surroundings and goals. Regard that, autonomous robotic systems can relieve human beings of repetitive and dangerous tasks.

Independência e auto-suficiência: a política externa da República Popular da China entre 1957 e 1965

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciência Política e Relações Internacionais

Promoção da auto-eficácia na aprendizagem do Inglês no 1º ciclo

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciências da Educação

Crenças de auto-eficácia, envolvimento de estudantes na escola e bem estar psicológico - um estudo com alunos do ensino secundário de Cabo Verde

Dissertação de Mestrado em Ciências da Educação

Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling

The electricity market restructuring, and its worldwide evolution into regional and even continental scales, along with the increasing necessity for an adequate integration of renewable energy sources, is resulting in a rising complexity in power systems operation. Several power system simulators have been developed in recent years with the purpose of helping operators, regulators, and involved players to understand and deal with this complex and constantly changing environment. The main contribution of this paper is given by the integration of several electricity market and power system models, respecting to the reality of different countries. This integration is done through the development of an upper ontology which integrates the essential concepts necessary to interpret all the available information. The continuous development of Multi-Agent System for Competitive Electricity Markets platform provides the means for the exemplification of the usefulness of this ontology. A case study using the proposed multi-agent platform is presented, considering a scenario based on real data that simulates the European Electricity Market environment, and comparing its performance using different market mechanisms. The main goal is to demonstrate the advantages that the integration of various market models and simulation platforms have for the study of the electricity markets’ evolution.

Anemia Hemolítica Auto-Imune - Caso Clínico

A anemia hemolitica é uma entidade caracterizada por destruição dos glóbulos vermelhos mediada por auto-anticorpos. Os mecanismos fisiopatológicos ainda nao estão completamente compreendidos e a terapêutica é controversa.Os autores apresentam este caso pela sua particular evolução/resposta terapêutica.