844 resultados para Resource-management


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The moth larva, Doratifera stenosa (Lepidoptera: Limacodidae), was observed feeding voraciously in great numbers on mature leaves of Rhizophora stylosa in mangroves at Port Curtis in Central Queensland, NE Australia. This behaviour was considered unusual since mangroves, and the Rhizophora species in particular, reportedly harbour few herbivores and have relatively low levels of herbivory, less than 10%. During a two year period (1996-1998), larvae were observed consuming around 30-40% of leaves in the canopy each year, and the mangroves appeared able to sustain these high levels of herbivory. The impact on trees was assessed in conjunction with a study of the herbivore, its behaviour and life history, in an attempt to explain the occurrence. Larvae were 1-2 cm in length, bright green and gregarious, with numerous small, stinging hairs along their upper bodies. Feeding was in small cohort groups of 5-70 individuals that broke up immediately prior to each moult after which they regrouped in much larger numbers of mixed cohorts to form single-file processions across branches, stems and prop roots. In this way, they moved to neighbouring trees with less affected foliage. One of the outstanding characteristics of this herbivore was its ability to desist from killing host trees although it appeared quite capable of doing so had it remained on individual trees. By moving from tree to tree, the herbivore was able to heavily crop Rhizophora foliage in an apparently sustainable manner. These findings demonstrate the role and importance of foliar herbivory in severely affected forests and how such instances best not be ignored or treated as curiosities in future assessments of herbivory and forest turnover in mangrove ecosystems.

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The Agricultural Production Systems Simulator (APSIM) is a modular modelling framework that has been developed by the Agricultural Production Systems Research Unit in Australia. APSIM was developed to simulate biophysical process in farming systems, in particular where there is interest in the economic and ecological outcomes of management practice in the face of climatic risk. The paper outlines APSIM's structure and provides details of the concepts behind the different plant, soil and management modules. These modules include a diverse range of crops, pastures and trees, soil processes including water balance, N and P transformations, soil pH, erosion and a full range of management controls. Reports of APSIM testing in a diverse range of systems and environments are summarised. An example of model performance in a long-term cropping systems trial is provided. APSIM has been used in a broad range of applications, including support for on-farm decision making, farming systems design for production or resource management objectives, assessment of the value of seasonal climate forecasting, analysis of supply chain issues in agribusiness activities, development of waste management guidelines, risk assessment for government policy making and as a guide to research and education activity. An extensive citation list for these model testing and application studies is provided. Crown Copyright (C) 2002 Published by Elsevier Science B.V. All rights reserved.

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Fifteen years ago it was proposed that the conversion of kangaroos from a pest to an economically valuable resource would allow graziers to reduce the numbers of domestic stock and thereby lower total grazing pressure. Since then, little progress towards this goal has been achieved. This is believed to be due mainly to the low prices obtained for kangaroo products. A survey of graziers in south-west Queensland was carried out to discover their opinions on kangaroos as a potential economic resource. Questions on the harvesting of feral goats were also included in the survey because of the contrast this industry provides to kangaroo harvesting in terms of grazier involvement. The results of the survey are discussed in relation to resource ownership rights; kangaroo product prices and marketing; and competition within the kangaroo harvesting industry. They show that while low kangaroo product prices do act as a disincentive to graziers, other administrative, legal and institutional factors are also important impediments to their entry to the industry. It is concluded that until the focus of attention widens to include consideration of these as well as just market factors, little progress will be made towards integrating graziers into the kangaroo harvesting industry.

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As Organiza????es Sociais (OS) s??o organiza????es sem fins lucrativos, ???qualificadas??? para absorver atividades executadas por organiza????es p??blicas, nos termos e condi????es estabelecidas em contratos de gest??o firmados entre organiza????es e o governo. Este artigo relata os principais resultados do semin??rio ???O modelo OS: li????es e oportunidades de melhorias???, realizado em outubro de 2001, do qual participaram gestores e t??cnicos da Secretaria de Gest??o (SEGES), de OS, de ??rg??os supervisores dessas organiza????es, de ??rg??os intervenientes, e especialistas em gest??o p??blica. Com rela????o ??s OS analisadas, pode-se perceber que: a) h?? controv??rsias e ambig??idades quanto ?? sua natureza jur??dica e quanto ao processo de avalia????o dessas organiza????es; b) a gest??o de recursos humanos ?? afetada pela exist??ncia de grupos submetidos a distintos regimes de trabalho, isto ??, Estatuto dos Funcion??rios P??blicos e Consolida????o das Leis do Trabalho; c) a gest??o de recursos financeiros ?? marcada pela irregularidade no fluxo dos referidos recursos; e d) o controle dos bens p??blicos ocorre de forma fr??gil e o processo de compra est?? sendo realizado sem problemas. Com base nessas considera????es, o documento prop??e algumas sugest??es de aperfei??oamento do modelo OS.

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O artigo analisa o processo de reforma administrativa empreendida na Austr??lia ao longo das d??cadas de 70-80, destacando duas de suas principais tend??ncias: o fortalecimento da ???Fun????o Executiva Superior???e a valoriza????o da cidadania. Nele s??o descritos os princ??pios b??sicos norteadores da reforma ao longo dos anos 70, bem como, os objetivos visados com a segunda fase das reformas executadas a partir da d??cada de 80, implementadas por governos trabalhistas. Destaca-se a organiza????o e o funcionamento do sistema das Ag??ncias de Ombudsmen e dos Comiss??rios de Contas respons??veis pela fiscaliza????o e gest??o or??ament??ria. A seguir, s??o descritas algumas das a????es encaminhadas pela Public Service Commission (PSC) no sentido de aperfei??oar o gerenciamento e o melhor desempenho dos recursos humanos, destacando a introdu????o do importante conceito de Novo Profissionalismo, assentado em valores como responsabilidade para com o governo, foco nos resultados, m??rito como valor b??sico, altos n??veis de integridade e probidade na conduta, desempenho com accountability e melhoramento cont??nuo do desempenho das equipes e indiv??duos. Outro importante instrumento analisado ?? o Human Resource Management, atrav??s do qual as autoridades australianas introduziram novas pr??ticas como negocia????o no local de trabalho, plano de oportunidades igualit??rias no local de trabalho e o plano de treinamento e especializa????o. Para finalizar, o artigo enfoca a pol??tica de contratualiza????o de servi??os p??blicos adotada na Austr??lia ??? os Competitive Tendering and Contracting, evidenciando os fatores indutores da ado????o desta nova pr??tica de gest??o.

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O texto examina as estrat??gias e os sistemas que devem ser considerados para se alcan??ar a melhor gest??o de recursos humanos no setor p??blico. Inicialmente, baseado em tr??s modelos tradicionais de administra????o p??blica, sugere uma abordagem hol??stica para aumentar a efetividade da gest??o. Em seguida, defende a id??ia de um ??rg??o ???guardi??o??? central, que considere o princ??pio do m??rito e que divida com os ??rg??os de linha a responsabilidade sobre a GRH. Mostra, ainda, a import??ncia de institucionalizar os valores da imparcialidade, do profissionalismo e da responsividade. Ao tratar da profissionaliza????o da GRH, ressalta a necessidade de uma pol??tica que defina como a gest??o de pessoas contribuir?? para o alcance de objetivos governamentais. Para isso, prop??e a aplica????o de um modelo integrado baseado em compet??ncias e o desenvolvimento de uma pol??tica salarial que permita a atra????o e reten????o de talentos no setor p??blico. Ao final, o texto apresenta os pr??s e contras da gest??o por desempenho, bem como os desafios de um redimensionamento organizacional no servi??o p??blico.

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The use of distributed energy resources, based on natural intermittent power sources, like wind generation, in power systems imposes the development of new adequate operation management and control methodologies. A short-term Energy Resource Management (ERM) methodology performed in two phases is proposed in this paper. The first one addresses the day-ahead ERM scheduling and the second one deals with the five-minute ahead ERM scheduling. The ERM scheduling is a complex optimization problem due to the high quantity of variables and constraints. In this paper the main goal is to minimize the operation costs from the point of view of a virtual power player that manages the network and the existing resources. The optimization problem is solved by a deterministic mixedinteger non-linear programming approach. A case study considering a distribution network with 33 bus, 66 distributed generation, 32 loads with demand response contracts and 7 storage units and 1000 electric vehicles has been implemented in a simulator developed in the field of the presented work, in order to validate the proposed short-term ERM methodology considering the dynamic power system behavior.

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In recent years, power systems have experienced many changes in their paradigm. The introduction of new players in the management of distributed generation leads to the decentralization of control and decision-making, so that each player is able to play in the market environment. In the new context, it will be very relevant that aggregator players allow midsize, small and micro players to act in a competitive environment. In order to achieve their objectives, virtual power players and single players are required to optimize their energy resource management process. To achieve this, it is essential to have financial resources capable of providing access to appropriate decision support tools. As small players have difficulties in having access to such tools, it is necessary that these players can benefit from alternative methodologies to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), and intended to support smaller players. In this case the present methodology uses a training set that is created using energy resource scheduling solutions obtained using a mixed-integer linear programming (MIP) approach as the reference optimization methodology. The trained network is used to obtain locational marginal prices in a distribution network. The main goal of the paper is to verify the accuracy of the ANN based approach. Moreover, the use of a single ANN is compared with the use of two or more ANN to forecast the locational marginal price.

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This paper addresses the problem of energy resources management using modern metaheuristics approaches, namely Particle Swarm Optimization (PSO), New Particle Swarm Optimization (NPSO) and Evolutionary Particle Swarm Optimization (EPSO). The addressed problem in this research paper is intended for aggregators’ use operating in a smart grid context, dealing with Distributed Generation (DG), and gridable vehicles intelligently managed on a multi-period basis according to its users’ profiles and requirements. The aggregator can also purchase additional energy from external suppliers. The paper includes a case study considering a 30 kV distribution network with one substation, 180 buses and 90 load points. The distribution network in the case study considers intense penetration of DG, including 116 units from several technologies, and one external supplier. A scenario of 6000 EVs for the given network is simulated during 24 periods, corresponding to one day. The results of the application of the PSO approaches to this case study are discussed deep in the paper.

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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.

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The future scenarios for operation of smart grids are likely to include a large diversity of players, of different types and sizes. With control and decision making being decentralized over the network, intelligence should also be decentralized so that every player is able to play in the market environment. In the new context, aggregator players, enabling medium, small, and even micro size players to act in a competitive environment, will be very relevant. Virtual Power Players (VPP) and single players must optimize their energy resource management in order to accomplish their goals. This is relatively easy to larger players, with financial means to have access to adequate decision support tools, to support decision making concerning their optimal resource schedule. However, the smaller players have difficulties in accessing this kind of tools. So, it is required that these smaller players can be offered alternative methods to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), intended to support smaller players’ resource scheduling. The used methodology uses a training set that is built using the energy resource scheduling solutions obtained with a reference optimization methodology, a mixed-integer non-linear programming (MINLP) in this case. The trained network is able to achieve good schedule results requiring modest computational means.

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Tese de Doutoramento, Ciências do Mar (Ecologia Marinha), 26 de Novembro de 2013, Universidade dos Açores.

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Mestrado em Engenharia Electrotécnica e de Computadores

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As instituições particulares de solidariedade social (IPSS) são entidades constituídas por iniciativa de particulares e sem finalidade lucrativa com o propósito de dar expressão organizada ao dever moral de solidariedade e de justiça entre os indivíduos. Considerando as dificuldades económicas que Portugal atravessa estas instituições assumem um papel fundamental na sociedade de hoje, sendo o mesmo reconhecido por estado e clientes. O capital humano é o elemento central no que concerne aos ativos intangíveis e é formado pelas pessoas que integram a instituição. É essencial analisar a gestão dos recursos humanos das IPSS tendo em conta que estes, alinhados com a direção, são parte fulcral para a instituição atingir os objetivos a que se propõe. Com este estudo pretendemos analisar as práticas de gestão de recursos humanos aplicadas pelas IPSS e para o conseguir utilizamos um questionário diagnóstico, distribuído a uma amostra da população, e analisamos as práticas de uma IPSS através de um estudo de caso. O estudo mostrou que as IPSS aplicam maioritariamente a gestão administrativa de recursos humanos e que a regulamentação das instituições por parte da Segurança Social é um fator importante na tipologia de gestão aplicada. As conclusões baseiam-se na análise do estudo de caso e das respostas ao questionário, pelas IPSS da amostra, razão pela qual a generalização das conclusões deverá ser ponderada.