Mechanisms of exercise training in patients with heart failure

Background The reduction of exercise capacity because of fatigue and dyspnea in patients with heart failure can be improved with exercise training. We sought to examine the mechanisms of exercise training, as an adjunctive treatment strategy for patients with heart failure. Methods a reviewed the published data on the possible mechanisms of effect of exercise training in heart failure. Results Symptoms of heart failure may be explained on the basis of abnormal skeletal muscle perfusion and structure and endothelial function. Exercise training has been shown to engender changes in muscle structure and biochemistry and vascular function, although effects on cardiac function have not been detected uniformly and may require longer training periods. Conclusions A suitable, long-term program of exercise training may reverse unfavorable interactions among the heart, vessels, and skeletal muscles. These improvements may be preserved with an ongoing maintenance program.

Gest??o do conhecimento como sistema de gest??o para o setor p??blico

O conhecimento e a gest??o do conhecimento t??m sido focos de uma intensa discuss??o sobre como as organiza????es privadas podem obter vantagens competitivas e atingir elevados patamares de flexibilidade, produtividade e inova????o, sem que, no entanto, esta disciplina seja devidamente debatida e/ou incorporada pelo setor p??blico brasileiro. A partir da perspectiva dos autores de maior prest??gio no assunto, este trabalho apresenta os principais conceitos e aspectos relacionados a este novo paradigma de gest??o organizacional, de modo a identificar quais seriam os principais desafios para a implanta????o de projetos de gest??o do conhecimento no ??mbito da administra????o p??blica. Adicionalmente, este trabalho prop??e a ado????o de um novo modelo de gest??o do conhecimento, mais consistente e adequado ??s organiza????es p??blicas. O modelo de gest??o apresentado prop??e-se a servir como susbs??dio para um debate te??rico e metodol??gico sobre como a gest??o do conhecimento poderia ser incorporada ?? tarefa de buscar melhores n??veis de gest??o para as organiza????es p??blicas brasileiras, de forma a torn??-las mais capacitadas a fazerem frente ??s interfer??ncias que j?? provocaram a fal??ncia das inst??ncias de planejamento e or??amento no setor p??blico, o abandono da padroniza????o e da melhoria dos procedimentos administrativos, a desestrutura????o da fun????o p??blica e das pol??ticas de recursos humanos, a persistente descontinuidade de projetos e de pol??ticas p??blicas, assim como permita resgatar a credibilidade nos mecanismos internos de repress??o e de puni????o ??queles agentes que adotam pr??ticas ou condutas que v??o de encontro aos princ??pios morais e ??s normas jur??dicas estabelecidas.

Human Rights promotion in Serbia: a difficult task for the European Union

This article explores the role of the European Union in the human rights protection, implementation and promotion in Serbia. It is clear that the EU demands on democratisation in the region of Western Balkans are crucial to achieve the respect for human rights. The human rights standards as part of the conditionality criteria of the EU is a clear message towards the countries aspiring membership. However, Serbia progress in the field has been difficult due to several internal constraints. This paper aims to uncover the democratisation process of Serbia on its path towards the EU, and its progress (or not) regarding human rights protection and implementation.

Comparative analysis between statistical and artificial intelligence models in business failure prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Survival Analysis Employed in Predicting Corporate Failure: A Forecasting Model Proposal

In face of the current economic and financial environment, predicting corporate bankruptcy is arguably a phenomenon of increasing interest to investors, creditors, borrowing firms, and governments alike. Within the strand of literature focused on bankruptcy forecasting we can find diverse types of research employing a wide variety of techniques, but only a few researchers have used survival analysis for the examination of this issue. We propose a model for the prediction of corporate bankruptcy based on survival analysis, a technique which stands on its own merits. In this research, the hazard rate is the probability of ‘‘bankruptcy’’ as of time t, conditional upon having survived until time t. Many hazard models are applied in a context where the running of time naturally affects the hazard rate. The model employed in this paper uses the time of survival or the hazard risk as dependent variable, considering the unsuccessful companies as censured observations.

Comparative Analysis between Statistical and Artificial Intelligence Models in Business Failure Prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

How logrolling can explain the failure of the government coalition in Brazil

This article presents an analysis of the behavior of federal representatives in the Brazilian House of Representatives between 1995 and 1998, when a series of constitutional amendments were presented by the president to be voted on by Congress. The objective is to show that the lack of a stable government coalition resulted in costs to society that were not anticipated by the government. The study argues that a logroll - a trade of votes - was the strategy used by the government in order to guarantee the number of votes necessary to approve the amendments. This strategy created a vicious system in which representatives would only vote with the government if they had benefits in return.

Monitorização e caracterização de uma UTA com tecnologia exsicante-evaporativa assistida por energia solar de acordo com a metodologia definida no âmbito da AIE SHC task 38

A presente dissertação fundamenta-se na monitorização e análise de uma “Unidade de Tratamento de Ar” baseada em tecnologia exsicante evaporativa assistida por energia solar. Primeiramente é apresentado um conjunto de conceitos associados ao tema abordado, de modo a facilitar a compreensão dos fenómenos termodinâmicos envolvidos. Após a abordagem inicial que serve de consolidação, é feito o ponto da situação actual, quer em termos tecnológicos, quer em termos de instalações existentes. A etapa seguinte da dissertação descreve pormenorizadamente a instalação do LNEG e seus princípios de funcionamento, nesta fase também é contemplada a descrição sumária dos equipamentos, dos componentes e dos elementos de medição e controlo presentes no sistema. A metodologia seguida assenta fortemente em dois pontos; primeiro, a monitorização do sistema através do software “Agilent VEE Pro” e pela análise dos dados recolhidos com auxílio da folha de cálculo do LNEG, desenvolvida especialmente para este sistema. Em segundo lugar, a metodologia seguida será a imposta pela “Tarefa 38” de acordo com a Agência Internacional de Energia, no âmbito do programa de Aquecimento e Arrefecimento Solar o que permite a comparação de sistemas a nível internacional. Alias a “Tarefa 38” pretende desenvolver esta tecnologia, ao nível da concepção, estandardização, optimização das instalações, conceder o fácil acesso à informação e promover a comparabilidade de resultados. O desempenho global do sistema é bastante positivo, o bom comportamento do sistema é ilustrado na análise gráfica feita nos modos de aquecimento e arrefecimento. O grau de satisfação dos utilizadores é bom e o sistema demonstra capacidade para manter o conforto térmico dos espaços a climatizar de acordo com as normas e regulamentos em vigor. A utilização das energias renováveis nos dias de hoje, como por exemplo a energia solar é mais do que uma obrigação, é um dever.

Health related quality of life in patients with refractory chronic heart failure undergoing cardiac resynchronization: type of therapeutic response

The benefits of cardiac resynchronization therapy (CRT) in the health-related quality of life (HRQL) are largely demonstrated in selected patients with severe congestive heart failure (CHF). However, the differences between responders and non-responders, with regard to the effect of CRT in the various dimensions that constitute HRQL are still a matter of discussion. Objective: To evaluate the impact of CRT on the HRQL of patients with CHF refractory to optimal pharmacological therapy, within 6 months after CRT. Methods: 43 patients, submitted to successful implantation of CRT, were evaluated in hospital just before intervention and in the outpatient clinic within 6 months after CRT. HRQL was analyzed based on the Kansas City Cardiomyopathy Questionnaire (KCCQ). Patients were classified as super-responders (ejection fraction of left ventricle - LVEF - ≥45% post-CRT), n=15, responders (sustained improvement in functional class and LVEF increased by 15%), n=19, and non-responders (no clinical or LVEF improvement), n=9. Results: In the group of super-responders, CRT was associated with an improvement in HRQL for the various fields and sums assessed (ρ<0.05); in responders, CRT has been associated with an improvement of HRQL in the various fields and sums, except in the self-efficacy dimension (ρ<0.05); in non-responders, CRT was not associated with improvement of HRQL. Conclusion: In a population with severe CHF undergoing CRT, the patients with clinical and echocardiographic positive response, obtained a favorable impact in all dimensions of HRQL, while the group without response to CRT showed no improvement. These data reinforces the importance of HRQL as a multidimensional tool for assessment of benefits in clinical practice.

Evaluating the quality of life in patients with refractory chronic heart failure undergoing cardiac resynchronization regarding the type of therapeutic response

The benefits of cardiac resynchronization therapy (CRT) in the quality of life have been largely demonstrated in selected patients with severe congestive heart failure (CHF). However, the differences between responders and non-responders, with regard to the effect of CRT in the various dimensions of quality of life is still a matter of discussion. Objective: to evaluate the impact of CRT on the quality of life of patients with CHF refractory to optimal pharmacological therapy, within 6 months after CRT.

Relation of happiness, hope and affection with quality of life in patients with heart failure

Introduction: Meeting the actual role of positive psychology, begins to be recognized the relation of positive variables with health. Objective: To know the relation of happiness, hope and affection with quality of life in individuals with heart failure. Population and Methodology: 128 individuals with heart failure, 98 men and 30 women, 61.9±12,1 years of age, 6,6±3,9 years in school and 74,2% retired because of this disease. 56,3% were in Class III of New York Heart Association, with poor left ventricular ejection fraction (25,3±6,2%). The clinical history was of 9,4±8,5 years for this heart disease and had at least one hospitalization due to heart failure with 51,6% having ischemic heart disease.

Happiness, hope and affection as predictors of quality of life and functionality of individuals with heart failure at 3 month follow up

Introduction: Meeting the actual role of positive psychology, begins to be recognized the contribution of positive variables in health outcomes. Objective: To know the contribution of happiness, hope and affection individually and as a whole in the quality of life and functionality of individuals with heart failure. Population and Methodology: 128 individuals with heart failure, 98 men and 30 women, 61.9±12,1 years of age, 6,6±3,9 years of school and 74,2% retired because of this disease. 56,3% were in Class III of New York Heart Association, with poor left ventricular ejection fraction (25,3±6,2%). The clinical history was of 9,4±8,5 years for this heart disease and had at least one hospitalization due to heart failure with 51,6% having ischemic heart disease.

Quality of life in dilated cardiomyopathy with refractory chronic heart failure undergoing devices implantation

Heart failure is the final stage of most of cardiac diseases. It is a complex syndrome in which the patients should have the following features: symptoms of heart failure, typically shortness of breath at rest or during exertion, and/or fatigue; signs of fluid retention such as pulmonary congestion or ankle swelling; and objective evidence of an abnormality of the structure or function of the heart at rest. This progressive syndrome as a high incidence and prevalence and poor prognosis: four-year mortality is around 50% with 40% of the patients admitted to hospital dying or readmitted within a year. With ageing, many patients will develop chronic heart failure, which, because of its symptoms, patient’s awareness of their risk of dying, and the effects of therapy, together with frequent hospitalizations, has considerable impact on patient’s health-related quality of life.