56 resultados para MINIMIZING EARLINESS

em Instituto Polit


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Introdução: O medicamento citotóxico é definido pelas suas características de genotoxicidade, mutagenicidade, carcinogenicidade, teratogenicidade, toxicidade reprodutiva e toxicidade orgânica em baixas doses. Deste modo, existe uma grande preocupação no que concerne ao manuseamento deste tipo de medicamentos, devido aos riscos ocupacionais que podem surtir da exposição a que os profissionais de farmácia envolvidos estão sujeitos. Objectivos: Analisar a realidade da farmácia hospitalar face ao cumprimento das normas e procedimentos preconizados pelas actuais guidelines para o manuseamento seguro de medicamentos citotóxicos, e identificar as lacunas existentes, conduzindo à promoção de práticas centradas na minimização do risco de exposição/contaminação dos profissionais e do ambiente. Material e Métodos: Foi realizada uma pesquisa bibliográfica sistemática sobre o tema, utilizando-se como instrumento de recolha de dados um inquérito por questionário, em que os TDT de Farmácia foram abordados sobre os procedimentos verificados no hospital onde exercem actividade profissional. Resultados: Face ao cumprimento das normas na recepção, armazenamento e transporte de medicamentos citotóxicos, verifica-se que todos os hospitais se encontram acima da média. Apesar desta evidência, é na fase de transporte que se verifica um menor cumprimento. As principais lacunas detectadas foram ao nível da não utilização de EPI nas fases de recepção e armazenamento; a recepção de medicamentos citotóxicos em conjunto com outros medicamentos; a falta de um sistema de ventilação no local de armazenamento e, ainda, ausência de portas de correr e/ou gavetas fechadas nos carros de transporte de medicamentos citotóxicos. Conclusões: Os resultados deste estudo revelam alguma heterogeneidade de procedimentos nos hospitais Portugueses, sugerindo a necessidade de intervenção e reformulação do programa de segurança e gestão de risco desenvolvidos para o manuseamento de citotóxicos.

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O documento em anexo encontra-se na versão post-print (versão corrigida pelo editor).

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The best places to locate the Gas Supply Units (GSUs) on a natural gas systems and their optimal allocation to loads are the key factors to organize an efficient upstream gas infrastructure. The number of GSUs and their optimal location in a gas network is a decision problem that can be formulated as a linear programming problem. Our emphasis is on the formulation and use of a suitable location model, reflecting real-world operations and constraints of a natural gas system. This paper presents a heuristic model, based on lagrangean approach, developed for finding the optimal GSUs location on a natural gas network, minimizing expenses and maximizing throughput and security of supply.The location model is applied to the Iberian high pressure natural gas network, a system modelised with 65 demand nodes. These nodes are linked by physical and virtual pipelines – road trucks with gas in liquefied form. The location model result shows the best places to locate, with the optimal demand allocation and the most economical gas transport mode: by pipeline or by road truck.

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In a liberalized electricity market, the Transmission System Operator (TSO) plays a crucial role in power system operation. Among many other tasks, TSO detects congestion situations and allocates the payments of electricity transmission. This paper presents a software tool for congestion management and transmission price determination in electricity markets. The congestion management is based on a reformulated Optimal Power Flow (OPF), whose main goal is to obtain a feasible solution for the re-dispatch minimizing the changes in the dispatch proposed by the market operator. The transmission price computation considers the physical impact caused by the market agents in the transmission network. The final tariff includes existing system costs and also costs due to the initial congestion situation and losses costs. The paper includes a case study for the IEEE 30 bus power system.

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A major determinant of the level of effective natural gas supply is the ease to feed customers, minimizing system total costs. The aim of this work is the study of the right number of Gas Supply Units – GSUs - and their optimal location in a gas network. This paper suggests a GSU location heuristic, based on Lagrangean relaxation techniques. The heuristic is tested on the Iberian natural gas network, a system modelized with 65 demand nodes, linked by physical and virtual pipelines. Lagrangean heuristic results along with the allocation of loads to gas sources are presented, using a 2015 forecast gas demand scenario.

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This paper proposes a new methodology to reduce the probability of occurring states that cause load curtailment, while minimizing the involved costs to achieve that reduction. The methodology is supported by a hybrid method based on Fuzzy Set and Monte Carlo Simulation to catch both randomness and fuzziness of component outage parameters of transmission power system. The novelty of this research work consists in proposing two fundamentals approaches: 1) a global steady approach which deals with building the model of a faulted transmission power system aiming at minimizing the unavailability corresponding to each faulted component in transmission power system. This, results in the minimal global cost investment for the faulted components in a system states sample of the transmission network; 2) a dynamic iterative approach that checks individually the investment’s effect on the transmission network. A case study using the Reliability Test System (RTS) 1996 IEEE 24 Buses is presented to illustrate in detail the application of the proposed methodology.

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Natural gas industry has been confronted with big challenges: great growth in demand, investments on new GSUs – gas supply units, and efficient technical system management. The right number of GSUs, their best location on networks and the optimal allocation to loads is a decision problem that can be formulated as a combinatorial programming problem, with the objective of minimizing system expenses. Our emphasis is on the formulation, interpretation and development of a solution algorithm that will analyze the trade-off between infrastructure investment expenditure and operating system costs. The location model was applied to a 12 node natural gas network, and its effectiveness was tested in five different operating scenarios.

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To comply with natural gas demand growth patterns and Europe´s import dependency, the gas industry needs to organize an efficient upstream infrastructure. The best location of Gas Supply Units – GSUs and the alternative transportation mode – by phisical or virtual pipelines, are the key of a successful industry. In this work we study the optimal location of GSUs, as well as determining the most efficient allocation from gas loads to sources, selecting the best transportation mode, observing specific technical restrictions and minimizing system total costs. For the location of GSUs on system we use the P-median problem, for assigning gas demands nodes to source facilities we use the classical transportation problem. The developed model is an optimisation-based approach, based on a Lagrangean heuristic, using Lagrangean relaxation for P-median problems – Simple Lagrangean Heuristic. The solution of this heuristic can be improved by adding a local search procedure - the Lagrangean Reallocation Heuristic. These two heuristics, Simple Lagrangean and Lagrangean Reallocation, were tested on a realistic network - the primary Iberian natural gas network, organized with 65 nodes, connected by physical and virtual pipelines. Computational results are presented for both approaches, showing the location gas sources and allocation loads arrangement, system total costs and gas transportation mode.

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The concept of demand response has a growing importance in the context of the future power systems. Demand response can be seen as a resource like distributed generation, storage, electric vehicles, etc. All these resources require the existence of an infrastructure able to give players the means to operate and use them in an efficient way. This infrastructure implements in practice the smart grid concept, and should accommodate a large number of diverse types of players in the context of a competitive business environment. In this paper, demand response is optimally scheduled jointly with other resources such as distributed generation units and the energy provided by the electricity market, minimizing the operation costs from the point of view of a virtual power player, who manages these resources and supplies the aggregated consumers. The optimal schedule is obtained using two approaches based on particle swarm optimization (with and without mutation) which are compared with a deterministic approach that is used as a reference methodology. A case study with two scenarios implemented in DemSi, a demand Response simulator developed by the authors, evidences the advantages of the use of the proposed particle swarm approaches.

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Congestion management of transmission power systems has achieve high relevance in competitive environments, which require an adequate approach both in technical and economic terms. This paper proposes a new methodology for congestion management and transmission tariff determination in deregulated electricity markets. The congestion management methodology is based on a reformulated optimal power flow, whose main goal is to obtain a feasible solution for the re-dispatch minimizing the changes in the transactions resulting from market operation. The proposed transmission tariffs consider the physical impact caused by each market agents in the transmission network. The final tariff considers existing system costs and also costs due to the initial congestion situation and losses. This paper includes a case study for the 118 bus IEEE test case.

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A Vertebroplastia Percutânea é uma técnica minimamente invasiva relativamente recente, que tem reconhecidas vantagens e aplicações em fracturas compressivas dos corpos vertebrais. Basicamente, consiste na injecção de um Cimento Acrílico no interior do corpo vertebral, e desse modo, minimizar e estabilizar fracturas compressivas dos corpos vertebrais, que são frequentemente de etiologia osteoporótica. Fortemente indicada no tratamento de fracturas incapacitantes, possui como complicação principal o extravasamento do Cimento. Este artigo pretende abordar a técnica, expondo suas indicações, vantagens e complicações mais frequentes. Esta permite reduzir a elevada taxa de morbilidade e impacto económico-social associado à Osteoporose.

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This paper presents a methodology to address reactive power compensation using Evolutionary Particle Swarm Optimization (EPSO) technique programmed in the MATLAB environment. The main objective is to find the best operation point minimizing power losses with reactive power compensation, subjected to all operational constraints, namely full AC power flow equations, active and reactive power generation constraints. The methodology has been tested with the IEEE 14 bus test system demonstrating the ability and effectiveness of the proposed approach to handle the reactive power compensation problem.

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Agility refers to the manufacturing system ability to rapidly adapt to market and environmental changes in efficient and cost-effective ways. This paper addresses the development of self-organization methods to enhance the operations of a scheduling system, by integrating scheduling system, configuration and optimization into a single autonomic process requiring minimal manual intervention to increase productivity and effectiveness while minimizing complexity for users. We intend to conceptualize real manufacturing systems as interacting autonomous entities in order to build future Decision Support Systems (DSS) for Scheduling in agile manufacturing environments.

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Aims: This paper aims to address some of the main possible applications of actual Nuclear Medicine Imaging techniques and methodologies in the specific context of Sports Medicine, namely in two critical systems: musculoskeletal and cardiovascular. Discussion: At the musculoskeletal level, bone scintigraphy techniques proved to be a mean of diagnosis of functional orientation and high sensibility compared with other morphological imaging techniques in the detection and temporal evaluation of pathological situations, for instance allowing the acquisition of information of great relevance in athletes with stress fractures. On the other hand, infection/inflammation studies might be of an important added value to characterize specific situations, early diagnose of potential critical issues – so giving opportunity to precise, complete and fast solutions – while allowing the evaluation and eventual optimization of training programs. At cardiovascular system level, Nuclear Medicine had proved to be crucial in differential diagnosis between cardiac hypertrophy secondary to physical activity (the so called "athlete's heart") and hypertrophic cardiomyopathy, in the diagnosis and prognosis of changes in cardiac function in athletes, as well as in direct - and non-invasive - in vivo visualization of sympathetic cardiac innervation, something that seems to take more and more importance nowadays, namely in order to try to avoid sudden death episodes at intense physical effort. Also the clinical application of Positron Emission Tomography (PET) has becoming more and more widely recognized as promising. Conclusions: It has been concluded that Nuclear Medicine can become an important application in Sports Medicine. Its well established capabilities to early detection of processes involving functional properties allied to its high sensibility and the actual technical possibilities (namely those related with hybrid imaging, that allows to add information provided by high resolution morphological imaging techniques, such as CT and/or MRI) make it a powerful diagnostic tool, claiming to be used on an each day higher range of clinical applications related with all levels of sport activities. Since the improvements at equipment characteristics and detection levels allows the use of smaller and smaller doses, so minimizing radiation exposure it is believed by the authors that the increase of the use of NM tools in the Sports Medicine area should be considered.

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A crescente preocupação com aspectos ambientais tornou-se uma questão incontornável para as empresas. Assim, a legislação aplicável obriga a maior controlo de qualquer tipo de perigo que ponha em causa a saúde humana ou o ambiente. Deste modo, a Swedwood Portugal é obrigada a implementar algumas medidas de controlo dos produtos químicos. Assim, os objectivos deste estágio curricular fundamentamse em identificar, avaliar e substituir ou minimizar os impactos dos produtos químicos (PQ’s) que, de acordo com especificações REACH (Regulamento da Comissão Europeia, relativo a Registo, Avaliação, Autorização e restrição de substâncias Químicas) e da Swedwood Internacional não podem ser utilizados. Como tal, o trabalho descrito nesta dissertação foi dividido em várias etapas. A primeira etapa consistiu em identificar todos os PQ’s utilizados no sector Board On Frame (BOF) da Swedwood Portugal. Feito este inventário, foi então criada uma base de dados em formato Microsoft Office Access que permitiu compilar a informação mais relevante dos PQ’s, para uma consulta mais simples e expedita, substituindo a já existente e desactualizada base de dados de PQ’s em formato Microsoft Office Excel. No total foram inventariados 243 PQ’s. Contudo, não foi possível obter as Fichas de Segurança de todos e, por isso, apenas 185 foram registados na base de dados. Estes 185 PQ’s existentes no sector BOF da Swedwood Portugal, foram submetidos a uma avaliação das substâncias que os compõem de acordo com uma ferramenta informática criada pela Swedwood Internacional – Substitution Evaluation Key (SEK). Esta ferramenta usa três listas europeias de substâncias químicas que permitem a avaliação de produtos químicos indirectos: Substances of Very High Concern (SVHC) da Agência Europeia de Produtos Químicos (ECHA), Substitute It Now (SIN) da ChemSec (Organização sueca dedicada ao ambiente) e PRIO da Agência Sueca de Produtos Químicos (Kemi). As três listas incluem substâncias de carácter de tal forma perigoso que a sua utilização deve ser restringida ou até eliminada. Logo, os PQ’s indirectos que contenham substâncias presentes em, pelo menos, uma destas listas devem ser imediatamente substituídos por outros cuja avaliação seja positiva. Por outro lado, para produtos químicos directos, as restrições encontram-se numa especificação imposta pela IKEA, IOS-MAT-0066. Concluída a avaliação, foi então necessário encontrar alternativas viáveis aos PQ’s avaliados negativamente. Como tal, a primeira abordagem consistiu em contactar os fabricantes dos PQ’s a substituir de modo a que estes pudessem apresentar as suas próprias alternativas. Caso estes não apresentassem alternativas viáveis, então contactarse- iam novos fornecedores. Dos 185 PQ’s registados na base de dados e avaliados, 30 produtos químicos indirectos existentes nas fábricas não obedeciam aos critérios impostos pela SEK, estando os produtos químicos directos todos de acordo com as imposições da IOS-MAT-0066. Os 30 PQ’s indirectos do Sector BOF da Swedwood Portugal que incluem as substâncias químicas com carácter perigoso apresentam características Cancerígenas, Mutagénicas e tóxicas para a Reprodução (CMR), irritantes e/ou sensibilizantes e perigosas, a longo prazo, para o ambiente. Para estes PQ’s foram apresentadas alternativas viáveis no que concerne a impactos para a saúde ou para o ambiente e os respectivos custos associados (admitindo quantidades mínimas vendidas). Contudo, não foi possível em tempo útil testar estas alternativas no funcionamento da empresa de modo a avaliar a sua eficiência técnica.