A simulation tool for demand response programs implementation

The design and development of simulation models and tools for Demand Response (DR) programs are becoming more and more important for adequately taking the maximum advantages of DR programs use. Moreover, a more active consumers’ participation in DR programs can help improving the system reliability and decrease or defer the required investments. DemSi, a DR simulator, designed and implemented by the authors of this paper, allows studying DR actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. DemSi considers the players involved in DR actions, and the results can be analyzed from each specific player point of view.

Using data mining techniques to support DR programs definition in smart grids

In recent years, Power Systems (PS) have experimented many changes in their operation. The introduction of new players managing Distributed Generation (DG) units, and the existence of new Demand Response (DR) programs make the control of the system a more complex problem and allow a more flexible management. An intelligent resource management in the context of smart grids is of huge important so that smart grids functions are assured. This paper proposes a new methodology to support system operators and/or Virtual Power Players (VPPs) to determine effective and efficient DR programs that can be put into practice. This method is based on the use of data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 32 bus distribution network.

Drug abuse among workers in Brazilian regions

OBJECTIVE: Many business organizations in Brazil have adopted drug testing programs in the workplace since 1992. Rehabilitation, rather than layoff and disciplinary measures, has been offered as part of the Brazilian employee assistance programs. The purpose study is to profile drug abuse among company workers of different Brazilian geographical regions. METHODS: Urine samples of 12,700 workers from five geographical regions were tested for the most common illicit drugs of abuse in the country: marijuana, cocaine, and amphetamine. Enzyme multiplied immunoassay technique (EMIT) and gas chromatography coupled with mass spectrometry (GC/MS) were the techniques utilized for urine testing. The distribution of collected urine samples according to geographical regions was: 72.0% southeast, 13.8% northeast, 7.9% south, 5.7% central west and 0.6% north. RESULTS: Of all samples analyzed, 1.8% was found to be positive for drugs: 0.5% from the south region, 1.1% from northeast, 1.2% from central west, 1.3% from north, and 2.2% from southeast. Of these, 59.9% was marijuana, 17.7% cocaine, 14.6% amphetamine, and 7.7% associated drugs. CONCLUSIONS: The distribution of drugs found in the samples shows a regional variation. Marijuana, however, was found in all regions. Cocaine was seen only in central west and southeast regions. Amphetamine was found in northeast, central west, and southeast regions.

Demand response programs definition supported by clustering and classification techniques

The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.

Factors related with adiponectinemia in obese and normal-weight women and with its variation in weight loss programs

Objective: To assess different factors influencing adiponectinemia in obese and normal-weight women; to identify factors associated with the variation (Δ) in adiponectinemia in obese women following a 6-month weight loss program, according to surgical/non-surgical interventions. Methods: We studied 100 normal-weight women and 112 obese premenopausal women; none of them was on any medical treatment. Women were characterized for anthropometrics, daily macronutrient intake, smoking status, contraceptives use, adiponectin as well as IL-6 and TNF-α serum concentrations. Results: Adiponectinemia was lower in obese women (p < 0.001), revealing an inverse association with waist-to-hip ratio (p < 0.001; r = –0.335). Normal-weight women presented lower adiponectinemia among smokers (p = 0.041); body fat, waist-to-hip ratio, TNF-α levels, carbohydrate intake, and smoking all influence adiponectinemia (r 2 = 0.436). After weight loss interventions, a significant modification in macronutrient intake occurs followed by anthropometrics decrease (chiefly after bariatric procedures) and adiponectinemia increase (similar after surgical and non-surgical interventions). After bariatric intervention, Δ adiponectinemia was inversely correlated to Δ waist circumference and Δ carbohydrate intake (r 2 = 0.706). Conclusion: Anthropometrics, diet, smoking, and TNF-α levels all influence adiponectinemia in normal-weight women, although explaining less than 50% of it. In obese women, anthropometrics modestly explain adiponectinemia. Opposite to non-surgical interventions, after bariatric surgery adiponectinemia increase is largely explained by diet composition and anthropometric changes.

Relatório de estágio em reabilitação neurológica

Mestrado em Fisioterapia.

Efetividade do Pnf-Chi® na funcionalidade do membro superior e na qualidade de vida, em mulheres submetidas a tratamento cirúrgico por cancro da mama

Mestrado em Fisioterapia.

Efeitos de um programa baseado em tarefas orientadas na competência de marcha em indivíduos com acidente vascular cerebral

Mestrado em Fisioterapia.

Revisão sistemática da resposta da musculatura esquelética aos programas de treino em microgravidade

Mestrado em Fisioterapia.

Avaliação da aptidão física funcional em idosos hipertensos da Cidade da Praia - Cabo Verde

Mestrado em Fisioterapia.

Numerical experiments with a modified regularization scheme for mathematical programs with complementarity constraints

On this paper we present a modified regularization scheme for Mathematical Programs with Complementarity Constraints. In the regularized formulations the complementarity condition is replaced by a constraint involving a positive parameter that can be decreased to zero. In our approach both the complementarity condition and the nonnegativity constraints are relaxed. An iterative algorithm is implemented in MATLAB language and a set of AMPL problems from MacMPEC database were tested.

Efeitos de um programa de exercícios específico em indivíduos integrados num programa de reabilitação cardiovascular no domicílio na tolerância ao exercício

Introdução: As doenças cardiovasculares são a principal causa de morte na Europa e o sedentarismo é um dos seus principais fatores de risco. Os programas de reabilitação cardiovascular (RCV) no domicílio parecem ser eficazes na tolerância ao exercício. No entanto, torna-se difícil reproduzir um protocolo de exercícios no domicílio, por se tratar de estudos pouco específicos. Objetivo: Avaliar os efeitos de um programa de exercícios específico realizado no domicílio, na tolerância ao exercício em pacientes integrados num programa RCV. Metodologia: Estudo quase experimental composto por 20 indivíduos com pelo menos um ano de enfarte agudo do miocárdio, distribuídos aleatoriamente em dois grupos: grupo experimental (GE) e grupo de controlo (GC), ambos com 10 indivíduos. O programa de RCV no domicílio (constituído por 10 exercícios) teve a duração de 8 semanas, com uma frequência de 3 vezes por semana. Avaliou-se a frequência cardíaca (FC), tensão arterial e duplo produto basais e máximos; FC de recuperação; equivalentes metabólicos (METs); velocidade; inclinação; tempo de prova e de recuperação; índice cifótico; equilíbrio; e tempo em atividade moderada a vigorosa. Resultados: Ao fim de 8 semanas de exercício o GE aumentou significativamente os MET’s (p=0,001), tensão arterial sistólica máxima (p<0,001), duplo produto máximo (p<0,001) e tempo de prova (p=0,037) e diminuiu significativamente o tempo de recuperação (p<0,001), quando comparado com o GC. Conclusão: O programa de exercícios no domicílio promoveu uma melhoria na tolerância ao exercício e parece ter melhorado o equilíbrio, para a amostra em estudo.

Reabilitação sustentável de edifício de habitação, em construção tradicional, no Baixo Alentejo

Dissertação de Final de Mestrado para obtenção do grau de Mestre em Engenharia Civil Especialização em Edificações

Programa de competências pessoais e sociais para adultos em exclusão social

Trabalho apresentado em XIII Congreso Internacional Galego-Portugués de Psicopedagoxía, Área 8 Interculturalidad, inclusión social y educación. Universidad da Coruña, 3 de Setembro de 2015.

Ventilação não invasiva durante o exercício em pacientes com DPOC: revisão sistemática com meta-análise

Mestrado em Fisioterapia