A new era in the treatment of multiple sclerosis

Multiple sclerosis (MS) is an autoimmune disease of the central nervous system with a multifactorial aetiology and highly variable natural history. A growing understanding of the immunopathogenesis of the condition has led to an expanding array of therapies for this previously untreatable disease. While a cure for MS remains elusive, the potential to reduce inflammatory disease activity by preventing relapses and minimising disease progression is achievable. The importance of early treatment in minimising long-term disability is increasingly recognised. Most of the newer, more effective therapies are associated with risks and practical problems that necessitate an active management strategy and continuous vigilance. While the initiation of these therapies is likely to remain the responsibility of neurologists, other specialist physicians and general practitioners will be involved in the identification and management of adverse effects.

Como desenvolver e implementar um programa de segurança empresarial - o caso da fundação getulio vargas

A Segurança Empresarial é um programa preventivo que visa proteger os valores de uma empresa, para preservação das condições operacionais dentro da normalidade. As empresas estão sujeitas a ameaças relacionadas às suas atividades no mercado em que atuam. Muitas dessas ameaças são conhecidas e identificadas e, dentro do possível, é estabelecido um programa de proteção de seus interesses. Entretanto, as ameaças aos demais bens da empresa não são evidentes, nem perceptíveis tão facilmente. As medidas tomadas para prevenir a efetivação dessas ameaças, por meio de um Programa de Segurança Empresarial ou para minorar os problemas decorrentes da concretização dessas ameaças, até a volta às condições habituais de operação das empresas, por meio da execução de um Plano de Contingência, são vistas, não raramente, como despesas e poucas vezes como investimento com retomo. Nem geram resultados operacionais para a empresa. o objetivo final desta dissertação de mestrado foi estabelecer um Programa de Segurança Empresarial para a Fundação Getulio Vargas - FGV, recomendando a revisão das normas e procedimentos de segurança que comporão o Manual de Segurança e sugerir que a FGV o inclua no Plano Estratégico. Para alcançar o objetivo final. foram definidos: Conceitos Básicos de Segurança e Contingência; Critérios de Classificação de Dados; Gestão do Processo de Segurança e Contingência; Função Administração de Segurança. Alguns tipos de pesquisa foram aplicados. Quanto aos meios, caracterizou-se como estudo de caso; para a elaboração das recomendações de revisão das normas e procedimentos de segurança, foram aplicadas pesquisas bibliográfica, documental e de campo. Quanto ao fim, pesquisa aplicada, motivada pela necessidade de resolver problemas concretos, com finalidade prática. Foram efetuadas visitas e entrevistas nas instalações da sede da FGV e no prédio da Bolsa de Valores do Rio de Janeiro - BVRJ. Dada a complexidade e abrangência da Segurança Empresarial, o estudo foi limitado a tratar de segurança física. Foi observada a necessidade da FGV rever as Normas e Procedimentos de Segurança Empresarial, buscando melhorar o nível de segurança geral e adotar instrumentos modernos de prevenção de ocorrência de sinistros que ponham em risco os valores da FGV, a saber: pessoas, instalações físicas, equipamentos, informações, suprimentos e facilidades de comunicação. Está sendo recomendada a adoção da metodologia Sistemática Integrada de Segurança e Contingência - SISC, para minimizarão dos impactos de situações emergências.

Realimentação da derivada dos estados em sistemas multivariáveis lineares usando LMIs

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Robust state-derivative pole placement LMI-based designs for linear systems

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Parameter-dependent Lyapunov functions for state-derivative feedback control in polytopic linear systems

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Stabilizability and Disturbance Rejection with State-Derivative Feedback

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Robust state-derivative feedback LMI-based designs for multivariable linear systems

In some practical problems, for instance in the control systems for the suppression of vibration in mechanical systems, the state-derivative signals are easier to obtain than the state signals. New necessary and sufficient linear matrix inequalities (LMI) conditions for the design of state-derivative feedback for multi-input (MI) linear systems are proposed. For multi-input/multi-output (MIMO) linear time-invariant or time-varying plants, with or without uncertainties in their parameters, the proposed methods can include in the LMI-based control designs the specifications of the decay rate, bounds on the output peak, and bounds on the state-derivative feedback matrix K. These design procedures allow new specifications and also, they consider a broader class of plants than the related results available in the literature. The LMIs, when feasible, can be efficiently solved using convex programming techniques. Practical applications illustrate the efficiency of the proposed methods.

Bayesian L-optimal exact design of experiments for biological kinetic models

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Elicitation of multivariate prior distributions: A nonparametric Bayesian approach

In the context of Bayesian statistical analysis, elicitation is the process of formulating a prior density f(.) about one or more uncertain quantities to represent a person's knowledge and beliefs. Several different methods of eliciting prior distributions for one unknown parameter have been proposed. However, there are relatively few methods for specifying a multivariate prior distribution and most are just applicable to specific classes of problems and/or based on restrictive conditions, such as independence of variables. Besides, many of these procedures require the elicitation of variances and correlations, and sometimes elicitation of hyperparameters which are difficult for experts to specify in practice. Garthwaite et al. (2005) discuss the different methods proposed in the literature and the difficulties of eliciting multivariate prior distributions. We describe a flexible method of eliciting multivariate prior distributions applicable to a wide class of practical problems. Our approach does not assume a parametric form for the unknown prior density f(.), instead we use nonparametric Bayesian inference, modelling f(.) by a Gaussian process prior distribution. The expert is then asked to specify certain summaries of his/her distribution, such as the mean, mode, marginal quantiles and a small number of joint probabilities. The analyst receives that information, treating it as a data set D with which to update his/her prior beliefs to obtain the posterior distribution for f(.). Theoretical properties of joint and marginal priors are derived and numerical illustrations to demonstrate our approach are given. (C) 2010 Elsevier B.V. All rights reserved.

Identification of structural damage in flexible structures using system norm and neural networks

Nowadays there is great interest in damage identification using non destructive tests. Predictive maintenance is one of the most important techniques that are based on analysis of vibrations and it consists basically of monitoring the condition of structures or machines. A complete procedure should be able to detect the damage, to foresee the probable time of occurrence and to diagnosis the type of fault in order to plan the maintenance operation in a convenient form and occasion. In practical problems, it is frequent the necessity of getting the solution of non linear equations. These processes have been studied for a long time due to its great utility. Among the methods, there are different approaches, as for instance numerical methods (classic), intelligent methods (artificial neural networks), evolutions methods (genetic algorithms), and others. The characterization of damages, for better agreement, can be classified by levels. A new one uses seven levels of classification: detect the existence of the damage; detect and locate the damage; detect, locate and quantify the damages; predict the equipment's working life; auto-diagnoses; control for auto structural repair; and system of simultaneous control and monitoring. The neural networks are computational models or systems for information processing that, in a general way, can be thought as a device black box that accepts an input and produces an output. Artificial neural nets (ANN) are based on the biological neural nets and possess habilities for identification of functions and classification of standards. In this paper a methodology for structural damages location is presented. This procedure can be divided on two phases. The first one uses norms of systems to localize the damage positions. The second one uses ANN to quantify the severity of the damage. The paper concludes with a numerical application in a beam like structure with five cases of structural damages with different levels of severities. The results show the applicability of the presented methodology. A great advantage is the possibility of to apply this approach for identification of simultaneous damages.

E-commerce environment and trade promotion for Latin America: policy implications from East Asian and advanced economies' experiences

Includes bibliography

Estabilização de sistemas fuzzy T-S incertos usando realimenta̧ão derivativa

In some practical problems, for instance, in the suppression of vibration in mechanical systems, the state-derivative signals are easier to obtain than the state signals. Thus, a method for state-derivative feedback design applied to uncertain nonlinear systems is proposed in this work. The nonlinear systems are represented by Takagi-Sugeno fuzzy models during the modeling of the problem, allowing to use Linear Matrix Inequalities (LMIs) in the controller design. This type of modeling ease the control design, because, LMIs are easily solved using convex programming technicals. The control design aimed at system stabilisation, with or without bounds on decay rate. The efficiency of design procedure is illustrated through a numerical example.

Controle robusto com realimentação derivativa de sistemas não lineares via LMI

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Algoritmos para geração de referências, inicialização e proteção de um condicionador unificado de qualidade de energia

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desenhos animados televisivos, ética e Educação Física nos anos iniciais do ensino fundamental: diálogos possíveis

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)