Os impactos dos modelos de avaliação de desempenho dos funcionários administrativos da Administração Local sobre a satisfação no trabalho: Antigo Sistema versus Novo Sistema

Mestrado em Controlo de Gestão e dos Negócios

Local fractional variational iteration and decomposition methods for wave equation on cantor sets within local fractional operators

We perform a comparison between the fractional iteration and decomposition methods applied to the wave equation on Cantor set. The operators are taken in the local sense. The results illustrate the significant features of the two methods which are both very effective and straightforward for solving the differential equations with local fractional derivative.

Traditional knowledge for promotion of socioeconomic inclusion of local communities

This paper discusses the key role played by public research institutes for promoting socioeconomic inclusion of local communities based on traditional knowledge and traditional medicine. Nongovernmental organizations and cooperatives have had an important role in raising financial resources, being involved with advocacy of local communities and advancing legislation changes. But strict best manufacturing practices regulations imposed by the Brazilian National Health Surveillance Agency on the requirements for approval and commercialization of drugs based on herbal medicine products call for the involvement of strong public research institutes capable of supporting community-based pharmacies. Thus, public research institutes are pivotal as they can conduct scientific research studies to evidence the efficacy of herbal medicine products and help building the capacity of local communities to comply with current regulations.

Mathematical aspects of the Heisenberg uncertainty principle within local fractional Fourier analysis

In this paper, we discuss the mathematical aspects of the Heisenberg uncertainty principle within local fractional Fourier analysis. The Schrödinger equation and Heisenberg uncertainty principles are structured within local fractional operators.

Adding local priority-based dispatching mechanisms to P-NET networks: a fixed priority approach

In this paper we address the real-time capabilities of P-NET, which is a multi-master fieldbus standard based on a virtual token passing scheme. We show how P-NET’s medium access control (MAC) protocol is able to guarantee a bounded access time to message requests. We then propose a model for implementing fixed prioritybased dispatching mechanisms at each master’s application level. In this way, we diminish the impact of the first-come-first-served (FCFS) policy that P-NET uses at the data link layer. The proposed model rises several issues well known within the real-time systems community: message release jitter; pre-run-time schedulability analysis in non pre-emptive contexts; non-independence of tasks at the application level. We identify these issues in the proposed model and show how results available for priority-based task dispatching can be adapted to encompass priority-based message dispatching in P-NET networks.

Poder local, desenvolvimento e educação: a política educativa da Câmara Municipal do Seixal de 1986 a 1992: um estudo de caso

Dissertação de mestrado em Ciências da Educação: área de Educação e Desenvolvimento

Escola e espaço local: representações e práticas dos professores do Barreiro

Dissertação de mestrado em Ciências da Educação: área de Educação e Desenvolvimento

O acompanhamento local como modelo de desenvolvimento curricular em matemática

Dissertação de mestrado em Ciências da Educação: área de Educação e Desenvolvimento

Constraint reasoning for differential models

The basic motivation of this work was the integration of biophysical models within the interval constraints framework for decision support. Comparing the major features of biophysical models with the expressive power of the existing interval constraints framework, it was clear that the most important inadequacy was related with the representation of differential equations. System dynamics is often modelled through differential equations but there was no way of expressing a differential equation as a constraint and integrate it within the constraints framework. Consequently, the goal of this work is focussed on the integration of ordinary differential equations within the interval constraints framework, which for this purpose is extended with the new formalism of Constraint Satisfaction Differential Problems. Such framework allows the specification of ordinary differential equations, together with related information, by means of constraints, and provides efficient propagation techniques for pruning the domains of their variables. This enabled the integration of all such information in a single constraint whose variables may subsequently be used in other constraints of the model. The specific method used for pruning its variable domains can then be combined with the pruning methods associated with the other constraints in an overall propagation algorithm for reducing the bounds of all model variables. The application of the constraint propagation algorithm for pruning the variable domains, that is, the enforcement of local-consistency, turned out to be insufficient to support decision in practical problems that include differential equations. The domain pruning achieved is not, in general, sufficient to allow safe decisions and the main reason derives from the non-linearity of the differential equations. Consequently, a complementary goal of this work proposes a new strong consistency criterion, Global Hull-consistency, particularly suited to decision support with differential models, by presenting an adequate trade-of between domain pruning and computational effort. Several alternative algorithms are proposed for enforcing Global Hull-consistency and, due to their complexity, an effort was made to provide implementations able to supply any-time pruning results. Since the consistency criterion is dependent on the existence of canonical solutions, it is proposed a local search approach that can be integrated with constraint propagation in continuous domains and, in particular, with the enforcing algorithms for anticipating the finding of canonical solutions. The last goal of this work is the validation of the approach as an important contribution for the integration of biophysical models within decision support. Consequently, a prototype application that integrated all the proposed extensions to the interval constraints framework is developed and used for solving problems in different biophysical domains.

Práticas de gestão ambiental na administração pública local

As práticas de gestão ambiental são meios através dos quais as organizações podem melhorar o seu desempenho. Um comportamento eco-eficiente, optimiza o uso dos recursos e evita a produção de resíduos, permitindo poupanças significativas. Para além disso, um bom desempenho ambiental evita custos resultantes da aplicação do princípio do poluidor-pagador. A introdução destas práticas no processo de gestão global é hoje uma realidade nas empresas. No entanto, e como muitas das acções a nível local passam essencialmente pelas autarquias, afigura-se fundamental que também estas organizações introduzam práticas ambientais na sua gestão. O objectivo central deste trabalho é identificar o perfil ambiental da Administração Pública Local, nomeadamente dos municípios portugueses. Para atingir este objectivo foi desenvolvido um inquérito por questionário, o qual foi remetido a todos os municípios do país, de forma a poder diagnosticar práticas de gestão ambiental nesse sector. Com base na avaliação do grau de implementação de determinadas vertentes e práticas de gestão ambiental foi traçado o perfil ambiental dos municípios portugueses. Os principais resultados evidenciam um fraco nível de adopção de práticas de gestão ambiental. Urge melhorar estes níveis de desempenho, pelo que deverão ser adoptadas novas práticas organizacionais e políticas públicas de desenvolvimento sustentável, para que se inverta a tendência actual. Este trabalho pretendeu constituir uma base de apoio às inúmeras autarquias, transmitindo quais as vantagens de recorrer a práticas de gestão ambiental, de forma a aumentar o desempenho ambiental nestas organizações.

Improving quality-of-service in wireless sensor networks by mitigating “Hidden-Node Collisions”

Wireless sensor networks (WSNs) emerge as underlying infrastructures for new classes of large-scale networked embedded systems. However, WSNs system designers must fulfill the quality-of-service (QoS) requirements imposed by the applications (and users). Very harsh and dynamic physical environments and extremely limited energy/computing/memory/communication node resources are major obstacles for satisfying QoS metrics such as reliability, timeliness, and system lifetime. The limited communication range of WSN nodes, link asymmetry, and the characteristics of the physical environment lead to a major source of QoS degradation in WSNs-the ldquohidden node problem.rdquo In wireless contention-based medium access control (MAC) protocols, when two nodes that are not visible to each other transmit to a third node that is visible to the former, there will be a collision-called hidden-node or blind collision. This problem greatly impacts network throughput, energy-efficiency and message transfer delays, and the problem dramatically increases with the number of nodes. This paper proposes H-NAMe, a very simple yet extremely efficient hidden-node avoidance mechanism for WSNs. H-NAMe relies on a grouping strategy that splits each cluster of a WSN into disjoint groups of non-hidden nodes that scales to multiple clusters via a cluster grouping strategy that guarantees no interference between overlapping clusters. Importantly, H-NAMe is instantiated in IEEE 802.15.4/ZigBee, which currently are the most widespread communication technologies for WSNs, with only minor add-ons and ensuring backward compatibility with their protocols standards. H-NAMe was implemented and exhaustively tested using an experimental test-bed based on ldquooff-the-shelfrdquo technology, showing that it increases network throughput and transmission success probability up to twice the values obtained without H-NAMe. H-NAMe effectiveness was also demonstrated in a target tracking application with mobile robots - over a WSN deployment.

From local to global importance measures of uncertainty propagation in composite structures

The influence of uncertainties of input parameters on output response of composite structures is investigated in this paper. In particular, the effects of deviations in mechanical properties, ply angles, ply thickness and on applied loads are studied. The uncertainty propagation and the importance measure of input parameters are analysed using three different approaches: a first-order local method, a Global Sensitivity Analysis (GSA) supported by a variance-based method and an extension of local variance to estimate the global variance over the domain of inputs. Sample results are shown for a shell composite laminated structure built with different composite systems including multi-materials. The importance measures of input parameters on structural response based on numerical results are established and discussed as a function of the anisotropy of composite materials. Needs for global variance methods are discussed by comparing the results obtained from different proposed methodologies. The objective of this paper is to contribute for the use of GSA techniques together with low expensive local importance measures.

H-NAMe: specifying, implementing and testing a hidden-node avoidance mechanism for wireless sensor networks

The hidden-node problem has been shown to be a major source of Quality-of-Service (QoS) degradation in Wireless Sensor Networks (WSNs) due to factors such as the limited communication range of sensor nodes, link asymmetry and the characteristics of the physical environment. In wireless contention-based Medium Access Control protocols, if two nodes that are not visible to each other transmit to a third node that is visible to the formers, there will be a collision – usually called hidden-node or blind collision. This problem greatly affects network throughput, energy-efficiency and message transfer delays, which might be particularly dramatic in large-scale WSNs. This technical report tackles the hidden-node problem in WSNs and proposes HNAMe, a simple yet efficient distributed mechanism to overcome it. H-NAMe relies on a grouping strategy that splits each cluster of a WSN into disjoint groups of non-hidden nodes and then scales to multiple clusters via a cluster grouping strategy that guarantees no transmission interference between overlapping clusters. We also show that the H-NAMe mechanism can be easily applied to the IEEE 802.15.4/ZigBee protocols with only minor add-ons and ensuring backward compatibility with the standard specifications. We demonstrate the feasibility of H-NAMe via an experimental test-bed, showing that it increases network throughput and transmission success probability up to twice the values obtained without H-NAMe. We believe that the results in this technical report will be quite useful in efficiently enabling IEEE 802.15.4/ZigBee as a WSN protocol.

Diversity in Teams: Source of Conflict or Source of Creativity? Investigating Hidden Mental Models

The workforce in organizations today is becoming increasingly diverse. Consequently the role of diversity management is heavily discussed with respect to the question how diversity influences the productivity of a group. Empirical studies show that on one hand there is a potential for increasing productivity but on the other hand it might be as well that conflicts arise due to the heterogeneity of the group. Usually according empirical studies are based on interviews, questionnaires and/or observations. These methods imply that answers are highly selective and filtered. In order to make the invisible visible, to have access to mental models of team members the paper will present an empirical study on the self-understanding of groups based on an innovative research method, called “mind-scripting”.

Local e tipo das refeições realizadas por adultos em cidade de médio porte

OBJETIVO : Descrever as refeições realizadas por adultos quanto ao local e tipo de preparação consumido em cidade de médio porte, do sul do Brasil. MÉTODOS : Estudo transversal, de base populacional, na cidade de Pelotas, RS, em 2012. A amostragem foi realizada em dois estágios, tendo os setores censitários do Censo Demográfico de 2010 como unidade amostral primária. Foram coletadas informações sobre o local das refeições (em casa ou fora de casa) e sobre o tipo de preparação consumida em casa (comida caseira, lanches, comida de restaurante) nos dois dias prévios à entrevista, utilizando-se questionário padronizado. RESULTADOS : Participaram do estudo 2.927 adultos: 59,0% mulheres, 60,0% com idade abaixo de 50 anos e 58,0% estava trabalhando. Foram obtidas informações sobre 11.581 refeições nos dois dias anteriores à entrevista, sendo 25,0% delas realizadas fora de casa, no almoço, e 10,0% no jantar. Quanto às refeições realizadas em casa, a maioria dos participantes referiu ter consumido comida preparada em casa, tanto no almoço quanto no jantar. A maioria das refeições fora de casa (64,0% no almoço e 61,0% no jantar) foram realizadas no local de trabalho, majoritariamente preparadas em casa. As refeições fora de casa foram realizadas principalmente por pessoas do sexo masculino, jovens, com alta escolaridade. Quanto à ocupação, os grupos que tiveram refeições mais frequentemente em restaurantes foram trabalhadores do comércio, empresários, professores e profissionais de nível superior. CONCLUSÕES : Apesar das mudanças que vêm sendo registradas nos padrões de alimentação do brasileiro, adultos residentes em cidades de médio porte ainda se alimentam majoritariamente em casa e de comida caseira.