917 resultados para restructuring
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On 19 and 20 October 2006, the Research Centre on Enterprise and Work Organisation (IET) organised the first international conference on “Foresight Studies on Work in the Knowledge Society”. It took place at the auditorium of the new Library of FCT-UNL and had the support of the research project “CodeWork@VO” (financed by FCT-MCTES and co-ordinated by INESC, Porto). The conference related to the European research project “Work Organisation and Restructuring in the Knowledge Society” (WORKS), which is financed by the European Commission. The main objective of the conference was to analyse and discuss research findings on the trends of work structures in the knowledge society, and to debate on new work organisation models and new forms of work supported by ICT.
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Portugal had only very few foresight exercises on the automobile sector, and the most recent one was a survey held in a project on work organisation systems in the automobile industry, its recent historical paths and the special strategies of location of companies (the WorTiS project). This involved several teams with different disciplinary backgrounds and from two Portuguese universities. The provisional main results of the first round of a Delphi survey held in Portugal on the automotive sector were already published, but a further analysis was not yet done. This foresight survey was done under the WorTiS project, developed in 2004 by IET – Research Centre on Enterprise and Work Innovation (at FCT-UNL), and financed by the Portuguese Ministry of Science and Technology. Some of this experience on foresight analysis is also been transferred to other projects, namely the WORKS project on work organisation restructuring in the knowledge society that received the support from EC and still is running. The majority of experts considered having an average of less knowledge in almost all the scenario topics presented. This means that information on the automotive industry is not spread enough among academics or experts in related fields (regional scientists, innovation economists, engineers, sociologists). Some have a good knowledge but in very specialised fields. Others have expertise on foresight, or macroeconomics, or management sciences, but feel insecure on issues related with futures of automobile sector. Nevertheless, we considered specially the topics where the experts considered themselves to have some knowledge. There were no “irrelevant” topics considered as such by the expert panel. There are also no topics that are not considered a need for co-operation. The lack of technological infrastructures was not considered as a hindered factor for the accomplishment of any scenario. The experts’ panel considered no other international competence besides US, Japan or Germany in these topics. Special focus will be made in this paper on the topic 2. Public policy and automobile industries, and more specifically on the technological and/or research policies issues, where one can specify the automobile’s role in transport policies with further implications like environment, safety, energy, mobility.
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OBJECTIVE To analyze the factors associated with back pain in adults who live in quilombola territories. METHODS A population-based survey was performed on quilombola communities of Vitória da Conquista, state of Bahia, Northeastern Brazil. The sample (n = 750) was established via a raffle of residences. Semi-structured interviews were conducted to investigate sociodemographics and employment characteristics, lifestyle, and health conditions. The outcome was analyzed as a dichotomous variable (Poisson regression). RESULTS The prevalence of back pain was of 39.3%. Age ≥ 30 years and being a smoker were associated with the outcome. The employment status was not related to back pain. CONCLUSIONS The survey identified a high prevalence of back pain in adults. It is suggested to support the restructuring of the local public service in order to outline programs and access to healthy practices, assistance, diagnosis, and treatment of spine problems.
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In the last years the electricity industry has faced a restructuring process. Among the aims of this process was the increase in competition, especially in the generation activity where firms would have an incentive to become more efficient. However, the competitive behavior of generating firms might jeopardize the expected benefits of the electricity industry liberalization. The present paper proposes a conjectural variations model to study the competitive behavior of generating firms acting in liberalized electricity markets. The model computes a parameter that represents the degree of competition of each generating firm in each trading period. In this regard, the proposed model provides a powerful methodology for regulatory and competition authorities to monitor the competitive behavior of generating firms. As an application of the model, a study of the day-ahead Iberian electricity market (MIBEL) was conducted to analyze the impact of the integration of the Portuguese and Spanish electricity markets on the behavior of generating firms taking into account the hourly results of the months of June and July of 2007. The advantages of the proposed methodology over other methodologies used to address market power, namely Residual Supply index and Lerner index are highlighted. (C) 2014 Elsevier Ltd. All rights reserved.
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Objectives - To identify occupational stressors and coping resources in a group of physiotherapists, and to analyse interactions between subjective levels of stress, efficacy in stress resolution and coping resources used by these professionals. Design - A sample of 55 physiotherapists working in three general hospitals in Portugal completed the Coping Resources Inventory for Stress, the Occupational Stressors Inventory and two subjective scales for stress and stress resolution. Main results - Most physiotherapists perceived that they were moderately stressed (19/55, 35%) or stressed (20/55, 36%) due to work, and reported that their efficacy in stress resolution was moderate (25/54, 46%) or efficient (23/54, 42%). Issues related to lack of professional autonomy, lack of organisation in the hierarchical command chain, lack of professional and social recognition, disorganisation in task distribution and interpersonal conflicts with superiors were identified as the main sources of stress. The most frequently used coping resources were social support, stress monitoring, physical health and structuring. Perceived efficacy in stress resolution was inversely related to perceived level of occupational stress (r = −0.61, P < 0.01). Significant correlations were found between several coping resources and the perceived level of stress and efficacy in stress resolution. Associations between problem solving, cognitive restructuring and stress monitoring and both low levels of perceived stress and high levels of perceived efficacy were particularly strong. Implications for practice - The importance of identifying stressors and coping resources related to physiotherapists’ occupational stress, and the need for the development of specific training programmes to cope with stress are supported.
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Trabalho realizado sob orientação do Prof. António Brandão Moniz para a disciplina “Factores Sociais da Inovação” do Mestrado Engenharia Informática realizado na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa
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Os mercados de energia elétrica são atualmente uma realidade um pouco por todo o mundo. Contudo, não é consensual o modelo regulatório a utilizar, o que origina a utilização de diferentes modelos nos diversos países que deram início ao processo de liberalização e de reestruturação do sector elétrico. A esses países, dado que a energia elétrica não é um bem armazenável, pelo menos em grandes quantidades, colocam-se questões importantes relacionadas com a gestão propriamente dita do seu sistema elétrico. Essas questões implicam a adoção de regras impostas pelo regulador que permitam ultrapassar essas questões. Este trabalho apresenta um estudo feito aos mercados de energia elétrica existentes um pouco por todo o mundo e que o autor considerou serem os mais importantes. Foi também feito um estudo de ferramentas de otimização essencialmente baseado em meta-heurísticas aplicadas a problemas relacionados com a operação dos mercados e com os sistemas elétricos de energia, como é o exemplo da resolução do problema do Despacho Económico. Foi desenvolvida uma aplicação que simula o funcionamento de um mercado que atua com o modelo Pool Simétrico, em que são transmitidas as ofertas de venda e compra de energia elétrica por parte dos produtores, por um lado, e dos comercializadores, consumidores elegíveis ou intermediários financeiros, por outro, analisando a viabilidade técnica do Despacho Provisório. A análise da viabilidade técnica do Despacho Provisório é verificada através do modelo DC de trânsito de potências. No caso da inviabilidade do Despacho Provisório, por violação de restrições afetas ao problema, são determinadas medidas corretivas a esse despacho, com base nas ofertas realizadas e recorrendo a um Despacho Ótimo. Para a determinação do Despacho Ótimo recorreu-se à meta-heurística Algoritmos Genéticos. A aplicação foi desenvolvida no software MATLAB utilizando a ferramenta Graphical User Interfaces. A rede de teste utilizada foi a rede de 14 barramentos do Institute of Electrical and Electronics Engineers (IEEE). A aplicação mostra-se competente no que concerne à simulação de um mercado com tipo de funcionamento Pool Simétrico onde são efetuadas ofertas simples e onde as transações ocorrem no mercado diário, porém, não reflete o problema real relacionado a este tipo de mercados. Trata-se, portanto, de um simulador básico de um mercado de energia cujo modelo de funcionamento se baseia no tipo Pool Simétrico.
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Mestrado em Gestão e Empreendedorismo
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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica
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xi RESUMO A acção da insulina no músculo esquelético depende de um reflexo parassimpático hepático que conduz à libertação de uma substância hepática sensibilizadora da insulina, designada por HISS, responsável por cerca de 55% do efeito hipoglicemiante da insulina. A acção da HISS é finamente regulada pelo monóxido de azoto (NO) hepático e pelo estado prandial, aumentando no período pós-prandial imediato e diminuindo progressivamente com as horas de jejum. A secreção da HISS pode ser inibida cirúrgica ou farmacologicamente, quer por desnervação selectiva do plexo anterior hepático, quer por administração de atropina, quer por inibição do sintase do NO (NOS) hepático. O objectivo geral do trabalho apresentado nesta dissertação foi a caracterização da via de transdução de sinal que conduz à libertação da HISS. O modelo utilizado neste estudo foi o rato Wistar. A sensibilidade à insulina foi avaliada através do teste rápido de sensibilidade à insulina (RIST). A primeira hipótese de trabalho testada foi que a sequência de eventos que conduzem à secreção da HISS inicia-se com a activação do sistema parassimpático hepático seguida de activação do NOS hepático com subsequente produção de NO e activação do guanilato ciclase (GC). Observou-se que a administração de um dador de NO reverteu a resistência à insulina induzida, quer por inibição do NOS hepático, quer por antagonismo dos receptores muscarínicos com atropina. Em contraste, a resistência à insulina produzida por inibição do NOS hepático não foi revertida por administração intraportal de acetilcolina (ACh). Constatou-se que a inibição do GC hepático diminuiu a sensibilidade à insulina. Estes resultados sugerem que: a ACh libertada no fígado induz a síntese de NO hepático que conduz à libertação da HISS, que por sua vez é modulada pelo GC hepático. A libertação da HISS em resposta à insulina é regulada pelo estado prandial. Uma vez que os níveis hepáticos de glutationo (GSH) se encontram, tal como a HISS, diminuídos no estado de jejum e aumentados após a ingestão de uma refeição, testou-se a hipótese de que o GSH hepático está envolvido na secreção da HISS. Observou-se que a depleção do GSH hepático induziu resistência à insulina, comparável à obtida após inibição do NOS hepático. Estes resultados suportam a hipótese de que o GSH hepático desempenha um papel crítico na acção periférica da insulina. Considerando que, no estado de jejum, tanto os níveis de GSH hepático como os níveis de NO hepático são baixos, testou-se a hipótese de que a co-administração intraportal de um dador de GSH e de um dador de NO promove um aumento da sensibilidade à insulina no estado de jejum, devido ao restabelecimento do mecanismo da HISS. Observou-se que a administração sequencial de dadores de GSH e de NO no fígado provocou um aumento na sensibilidade à insulina, dependente da dose de dador de GSH administrada. Concluiu-se portanto que ambos, GSH e NO, são essenciais para que o mecanismo da HISS esteja completamente funcional. O GSH e o NO reagem para formar um S-nitrosotiol, o S-nitrosoglutationo (GSNO). Os resultados supra-mencionados conduziram à formulação da hipótese de que a secreção/acção da HISS depende da formação de GSNO. Observou-se que a administração intravenosa de S-nitrosotióis (RSNOs) aumentou a sensibilidade à insulina, em animais submetidos a um período de jejum, ao contrário da administração intraportal destes fármacos, o que RSNOs têm uma acção periférica, mas não hepática, na sensibilidade à insulina. Os resultados obtidos conduziram à reformulação da hipótese da HISS, sugerindo que a ingestão de uma refeição activa os nervos parassimpáticos hepáticos levando à libertação de ACh no fígado que, por sua vez activa o NOS. Simultaneamente, ocorre um aumento dos níveis de GSH hepático que reage com o NO hepático para formar um composto nitrosado, o GSNO. Este composto mimetiza a acção hipoglicemiante da HISS no músculo esquelético. SUMMARY Insulin action at the skeletal muscle depends on a hepatic parasympathetic reflex that promotes the release of a hepatic insulin sensitizing substance (HISS) from the liver, which contributes 55% to total insulin action. HISS action is modulated by hepatic nitric oxide (NO) and also by the prandial status so as to, in the immediate ostprandial state, HISS action is maximal, decreasing with the duration of fasting. HISS secretion may be inhibited by interruption of the hepatic parasympathetic reflex, achieved either by surgical denervation of the liver or by cholinergic blockade with atropine, or by prevention of hepatic NO release, using NO synthase (NOS) antagonists. The main objective of this work was to characterize the signal transduction pathways that lead to HISS secretion by the liver. Wistar rats were used and insulin sensitivity was evaluated using the rapid insulin sensitivity test (RIST). The first hypothesis tested was that the sequence of events that lead to HISS secretion starts with an increase in the hepatic parasympathetic tone, followed by the activation of hepatic NOS and subsequent triggering of guanylate cyclase (GC). We observed that insulin resistance produced either by muscarinic receptor antagonism with atropine or by hepatic NOS inhibition was reversed by the intraportal administration of an NO donor. In contrast, intraportal acetylcholine (ACh) did not restore insulin sensitivity after NOS inhibition. We also observed that GC inhibition lead to a decrease in insulin sensitivity.These results suggest that the release of ACh in the liver activates hepatic NO synthesis in order to allow HISS secretion, through a signaling pathway modulated by GC. HISS release in response to insulin is controlled by the prandial status. The second hypothesis tested was that glutathione (GSH) is involved in HISS secretion since the hepatic levels of GSH are, like HISS action, decreased in the fasted state and increased after ingestion of a meal. We observed that hepatic GSH depletion led to insulin resistance of the same magnitude of that observed after inhibition of hepatic NOS. These results support the hypothesis that hepatic GSH is crucial in peripheral insulin action. Since, in the fasted state, both hepatic GSH and NO levels are low, we tested the hypothesis that intraportal o-administration of a GSH donor and an NO donor enhances insulin sensitivity in fasted Wistar rats, by restoring HISS secretion. We observed that GSH and NO increased insulin sensitivity in a GSH dose-dependent manner. We concluded that HISS secretion requires elevated levels of both GSH and NO in the liver. GSH and NO react to form a S-nitrosothiol, S-nitrosoglutathione (GSNO). The last hypothesis tested in this work was that HISS secretion/ action depends on the formation of GSNO. We observed that intravenous administration of -nitrosothiols (RSNOs) increased insulin sensitivity in animals fasted for 24 h, in contrast with the intraportal administration of the drug. This result suggests that RSNOs enhanced insulin sensitivity through a peripheral, and not hepatic, mechanism. The results obtained led to a restructuring of the HISS hypothesis, suggesting that the ingestion of a meal triggers the hepatic parasympathetic nerves, leading to the release of Ach in the liver, which in turn activates NOS. Simultaneously, hepatic GSH levels increase and react with NO to form a nitrosated compound, GSNO. S-nitrosoglutathione mimics HISS hypoglycaemic action at the skeletal muscle.
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This paper addresses the issue of restructuring the information professional in the global economy. This restructuring is justified by a tripartite explanation: the redesign understood as innovation and disciplinary change, the reorganization of institutions conditioned by the development of information technology and economic deflation interpreted as eliminating jobs. To understand this restructuring scenario multigenerational work contexts information services are also addressed. These work contexts represent a search for understanding and to overcome common referential differences, by baby boomer practitioners and digital natives. The issue of tension and challenge between the specific technical skills and flexibility to adapt to ever-changing organizations is another topic for reflection and serves to point out new paths for the restructuring of the information professional.
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Electricity markets are complex environments with very particular characteristics. A critical issue concerns the constant changes they are subject to. This is a result of the electricity markets’ restructuring, performed so that the competitiveness could be increased, but with exponential implications in the increase of the complexity and unpredictability in those markets’ scope. The constant growth in markets unpredictability resulted in an amplified need for market intervenient entities in foreseeing market behavior. The need for understanding the market mechanisms and how the involved players’ interaction affects the outcomes of the markets, contributed to the growth of usage of simulation tools. Multi-agent based software is particularly well fitted to analyze dynamic and adaptive systems with complex interactions among its constituents, such as electricity markets. This paper presents the Multi-Agent System for Competitive Electricity Markets (MASCEM) – a simulator based on multi-agent technology that provides a realistic platform to simulate electricity markets, the numerous negotiation opportunities and the participating entities.
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The study of electricity markets operation has been gaining an increasing importance in the last years, as result of the new challenges that the restructuring process produced. Currently, lots of information concerning electricity markets is available, as market operators provide, after a period of confidentiality, data regarding market proposals and transactions. These data can be used as source of knowledge to define realistic scenarios, which are essential for understanding and forecast electricity markets behavior. The development of tools able to extract, transform, store and dynamically update data, is of great importance to go a step further into the comprehension of electricity markets and of the behaviour of the involved entities. In this paper an adaptable tool capable of downloading, parsing and storing data from market operators’ websites is presented, assuring constant updating and reliability of the stored data.
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The energy sector in industrialized countries has been restructured in the last years, with the purpose of decreasing electricity prices through the increase in competition, and facilitating the integration of distributed energy resources. However, the restructuring process increased the complexity in market players' interactions and generated emerging problems and new issues to be addressed. In order to provide players with competitive advantage in the market, decision support tools that facilitate the study and understanding of these markets become extremely useful. In this context arises MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), a multi-agent based simulator that models real electricity markets. To reinforce MASCEM with the capability of recreating the electricity markets reality in the fullest possible extent, it is crucial to make it able to simulate as many market models and player types as possible. This paper presents a new negotiation model implemented in MASCEM based on the negotiation model used in day-ahead market (Elspot) of Nord Pool. This is a key module to study competitive electricity markets, as it presents well defined and distinct characteristics from the already implemented markets, and it is a reference electricity market in Europe (the one with the larger amount of traded power).
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The restructuring of electricity markets, conducted to increase the competition in this sector, and decrease the electricity prices, brought with it an enormous increase in the complexity of the considered mechanisms. The electricity market became a complex and unpredictable environment, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. Software tools became, therefore, essential to provide simulation and decision support capabilities, in order to potentiate the involved players’ actions. This paper presents the development of a metalearner, applied to the decision support of electricity markets’ negotiation entities. The proposed metalearner executes a dynamic artificial neural network to create its own output, taking advantage on several learning algorithms implemented in ALBidS, an adaptive learning system that provides decision support to electricity markets’ players. The proposed metalearner considers different weights for each strategy, depending on its individual quality of performance. The results of the proposed method are studied and analyzed in scenarios based on real electricity markets’ data, using MASCEM - a multi-agent electricity market simulator that simulates market players’ operation in the market.