Re-entrant phase behaviour of network fluids: A patchy particle model with temperature-dependent valence

We study a model consisting of particles with dissimilar bonding sites ("patches"), which exhibits self-assembly into chains connected by Y-junctions, and investigate its phase behaviour by both simulations and theory. We show that, as the energy cost epsilon(j) of forming Y-junctions increases, the extent of the liquid-vapour coexistence region at lower temperatures and densities is reduced. The phase diagram thus acquires a characteristic "pinched" shape in which the liquid branch density decreases as the temperature is lowered. To our knowledge, this is the first model in which the predicted topological phase transition between a fluid composed of short chains and a fluid rich in Y-junctions is actually observed. Above a certain threshold for epsilon(j), condensation ceases to exist because the entropy gain of forming Y-junctions can no longer offset their energy cost. We also show that the properties of these phase diagrams can be understood in terms of a temperature-dependent effective valence of the patchy particles. (C) 2011 American Institute of Physics. [doi: 10.1063/1.3605703]

Symbolic Knowledge Extraction from Trained Neural Networks Governed by Lukasiewicz Logics

This work describes a methodology to extract symbolic rules from trained neural networks. In our approach, patterns on the network are codified using formulas on a Lukasiewicz logic. For this we take advantage of the fact that every connective in this multi-valued logic can be evaluated by a neuron in an artificial network having, by activation function the identity truncated to zero and one. This fact simplifies symbolic rule extraction and allows the easy injection of formulas into a network architecture. We trained this type of neural network using a back-propagation algorithm based on Levenderg-Marquardt algorithm, where in each learning iteration, we restricted the knowledge dissemination in the network structure. This makes the descriptive power of produced neural networks similar to the descriptive power of Lukasiewicz logic language, minimizing the information loss on the translation between connectionist and symbolic structures. To avoid redundance on the generated network, the method simplifies them in a pruning phase, using the "Optimal Brain Surgeon" algorithm. We tested this method on the task of finding the formula used on the generation of a given truth table. For real data tests, we selected the Mushrooms data set, available on the UCI Machine Learning Repository.

Academic social network in EHES

This paper presents the foundations of an Academic Social Network (ASN) focusing the Bologna Declaration and the Bologna Process (BP) mobility issues using ontological support. An ASN will permit students to share commons academic interests, preferences and mobility paths in the European Higher Education Space (EHES). The description of the conceptual support is ontology based allowing knowledge sharing and reuse. An approach is presented by merging Academic Ontology to Support the Bologna Mobility Process with Friend of a Friend ontology. The resulting ontology supports the student mobility profile in the ASN. The strategies to make available, in the network, knowledge about mobility issues, are presented including knowledge discovery and simulation approaches to cover student's mobility scenarios for BP.

Learning and Knowledge in the Context of Absorptive Capacity

Develop a new model of Absorptive Capacity taking into account two variables namely Learning and knowledge to explain how companies transform information into knowledge

Web 2.0 and its impact on knowledge and business organizations

Today, information overload and the lack of systems that enable locating employees with the right knowledge or skills are common challenges that large organisations face. This makes knowledge workers to re-invent the wheel and have problems to retrieve information from both internal and external resources. In addition, information is dynamically changing and ownership of data is moving from corporations to the individuals. However, there is a set of web based tools that may cause a major progress in the way people collaborate and share their knowledge. This article aims to analyse the impact of ‘Web 2.0’ on organisational knowledge strategies. A comprehensive literature review was done to present the academic background followed by a review of current ‘Web 2.0’ technologies and assessment of their strengths and weaknesses. As the framework of this study is oriented to business applications, the characteristics of the involved segments and tools were reviewed from an organisational point of view. Moreover, the ‘Enterprise 2.0’ paradigm does not only imply tools but also changes the way people collaborate, the way the work is done (processes) and finally impacts on other technologies. Finally, gaps in the literature in this area are outlined.

Deuterium NMR Study of Orientational Order in Cellulosic Network Microfibers

Deuterium NMR was used to investigate the orientational order in a composite cellulosic formed by liquid crystalline acetoxypropylcellulose (A PC) and demented nematic 4'-penty1-4-cyanobiphenyl (5CB-4 alpha d(2)) with the per centage of 85% A PC by weight Three forms of the composite including electro spun microfibers, thin film and bulk samples were analyzed The NMR results initially suggest two distinct scenarios, one whet e the 503-alpha d(2), is confined to small droplets with dimensions smaller than the magnetic coherence length and the other where the 503-alpha d(2) molecules arc aligned with the A PC network chains Polarized optical microscopy (POW from thin film samples along with all the NMR results show the presence of 5CB-alpha d(2) droplets in the composite systems with a nematic wetting layer at the APC-5CB-alpha d(2) interface that experiences and order disorder transition driven by the polymer network N-I transition The characterization of the APC network I-N transition shows a pronounced subcritical behavior within a heterogeneity scenario.

Network air gap controller

As ameaças à segurança da informação, (INFOSEC) atentam contra a perda da respectiva confidencialidade, integridade e disponibilidade, pelo que as organizações são impelidas a implementar políticas de segurança, quer ao nível físico quer ao nível lógico, utilizando mecanismos específicos de defesa. O projecto Network Air Gap Controller (NAGC) foi concebido no sentido de contribuir para as questões da segurança, designadamente daquelas que se relacionam directamente com a transferência de informação entre redes de classificação de segurança diferenciadas ou de sensibilidades distintas, sem requisitos de comunicação em tempo real, e que mereçam um maior empenho nas condições de robustez, de disponibilidade e de controlo. Os organismos que, em razão das atribuições e competências cometidas, necessitam de fazer fluir informação entre este tipo de redes, são por vezes obrigados a realizar a transferência de dados com recurso a um processo manual, efectuado pelo homem e não pela máquina, que envolve dispositivos amovivéis, como sejam o CD, DVD, PEN, discos externos ou switches manuais. Neste processo, vulgarmente designado por Network Air Gap (NAG), o responsável pela transferência de dados deverá assumir de forma infalível, como atribuições intrínsecas e inalienáveis da função exercida, as garantias do cumprimento de um vasto conjunto de normas regulamentares. As regras estabelecidas desdobram-se em ferramentas e procedimentos que se destinam, por exemplo, à guarda em arquivo de todas as transferências efectuadas; à utilização de ferramentas de segurança (ex: antivírus) antes da colocação da informação na rede de classificação mais elevada; ao não consentimento de transferência de determinados tipos de ficheiro (ex: executáveis) e à garantia de que, em consonância com a autonomia que normalmente é delegada no elemento responsável pela operação das comunicações, apenas se efectuam transferências de informação no sentido da rede de classificação inferior para a rede de classificação mais elevada. Face ao valor da informação e do impacto na imagem deste tipo de organizações, o operador de comunicações que não cumpra escrupulosamente o determinado é inexoravelmente afastado dessas funções, sendo que o processo de apuramento de responsabilidades nem sempre poderá determinar de forma inequívoca se as razões apontam para um acto deliberado ou para factores não intencionais, como a inépcia, o descuido ou a fadiga. Na realidade, as actividades periódicas e rotineiras, tornam o homem propenso à falha e poderão ser incontornavelmente asseguradas, sem qualquer tipo de constrangimentos ou diminuição de garantias, por soluções tecnológicas, desde que devidamente parametrizadas, adaptadas, testadas e amadurecidas, libertando os recursos humanos para tarefas de manutenção, gestão, controlo e inspecção. Acresce que, para este tipo de organizações, onde se multiplicam o número de redes de entrada de informação, com diferentes classificações e actores distintos, e com destinatários específicos, a utilização deste tipo de mecanismos assume uma importância capital. Devido a este factor multiplicativo, impõe-se que o NAGC represente uma opção válida em termos de oferta tecnológica, designadamente para uma gama de produtos de baixíssimo custo e que possa desenvolver-se por camadas de contributo complementar, em função das reais necessidades de cada cenário.

Rede social académica

O processo de Bolonha apresenta directivas para a construção de um espaço europeu de ensino superior. A adopção destas directivas requer uma abordagem que favoreça, na prática, a mobilidade dos estudantes que têm dificuldades em compreenderem as oportunidades que lhes são oferecidas. Neste contexto, esta dissertação explora a hipótese de utilização de uma rede social para apoiar a mobilidade de estudantes no espaço europeu. No âmbito desta dissertação propõe-se um modelo de conhecimento para representar os membros de uma rede social vocacionada para apoiar cenários de mobilidade, designada por rede social académica. Este modelo foi obtido pela fusão da ontologia Academic Ontology to Support the Bologna Mobility Process com a ontologia Friend of a Friend Ontology. Para efeitos de avaliação experimental, foi criado um demonstrador numa rede social disponível publicamente na Internet que utiliza uma versão simplificada do modelo proposto. Os cenários usados nas experiências representam situações reais às quais foi aplicado um processo rudimentar de descoberta de conhecimento

Design of a sea-level tsunami detection network for the Gulf of Cadiz

The devastating impact of the Sumatra tsunami of 26 December 2004, raised the question for scientists of how to forecast a tsunami threat. In 2005, the IOC-UNESCO XXIII assembly decided to implement a global tsunami warning system to cover the regions that were not yet protected, namely the Indian Ocean, the Caribbean and the North East Atlantic, the Mediterranean and connected seas (the NEAM region). Within NEAM, the Gulf of Cadiz is the more sensitive area, with an important record of devastating historical events. The objective of this paper is to present a preliminary design for a reliable tsunami detection network for the Gulf of Cadiz, based on a network of sea-level observatories. The tsunamigenic potential of this region has been revised in order to define the active tectonic structures. Tsunami hydrodynamic modeling and GIS technology have been used to identify the appropriate locations for the minimum number of sea-level stations. Results show that 3 tsunameters are required as the minimum number of stations necessary to assure an acceptable protection to the large coastal population in the Gulf of Cadiz. In addition, 29 tide gauge stations could be necessary to fully assess the effects of a tsunami along the affected coasts of Portugal, Spain and Morocco.

An artificial neural network approach for short-term wind power forecasting in Portugal

This paper presents an artificial neural network approach for short-term wind power forecasting in Portugal. The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Hence, good forecasting tools play a key role in tackling these challenges. The accuracy of the wind power forecasting attained with the proposed approach is evaluated against persistence and ARIMA approaches, reporting the numerical results from a real-world case study.

A Service Integration Platform for Collaborative Networks

Integrated manufacturing constitutes a complex system made of heterogeneous information and control subsystems. Those subsystems are not designed to the cooperation. Typically each subsystem automates specific processes, and establishes closed application domains, therefore it is very difficult to integrate it with other subsystems in order to respond to the needed process dynamics. Furthermore, to cope with ever growing marketcompetition and demands, it is necessary for manufacturing/enterprise systems to increase their responsiveness based on up-to-date knowledge and in-time data gathered from the diverse information and control systems. These have created new challenges for manufacturing sector, and even bigger challenges for collaborative manufacturing. The growing complexity of the information and communication technologies when coping with innovative business services based on collaborative contributions from multiple stakeholders, requires novel and multidisciplinary approaches. Service orientation is a strategic approach to deal with such complexity, and various stakeholders' information systems. Services or more precisely the autonomous computational agents implementing the services, provide an architectural pattern able to cope with the needs of integrated and distributed collaborative solutions. This paper proposes a service-oriented framework, aiming to support a virtual organizations breeding environment that is the basis for establishing short or long term goal-oriented virtual organizations. The notion of integrated business services, where customers receive some value developed through the contribution from a network of companies is a key element.

Reentrant Phase Diagram of Network Fluids

We introduce a microscopic model for particles with dissimilar patches which displays an unconventional "pinched'' phase diagram, similar to the one predicted by Tlusty and Safran in the context of dipolar fluids [Science 290, 1328 (2000)]. The model-based on two types of patch interactions, which account, respectively, for chaining and branching of the self-assembled networks-is studied both numerically via Monte Carlo simulations and theoretically via first-order perturbation theory. The dense phase is rich in junctions, while the less-dense phase is rich in chain ends. The model provides a reference system for a deep understanding of the competition between condensation and self-assembly into equilibrium-polymer chains.

A utilização da plataforma Educast@fccn, como ferramenta de gravação de aulas no ambiente de e-learning português

Dissertação apresentada à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Audiovisual e Multimédia.

Universidades da terceira idade: duas décadas de intervenção em Portugal

Dissertação apresentada à Escola Superior de Educação de Lisboa para a obtenção do grau de mestre em Ciências da Educação - Especialidade em Educação Social e Intervenção Comunitária

Towards an Academic Social Network for Bologna Process

The Bologna Process aimed to build a European Higher Education Area promoting student's mobility. The adoption of Bologna Declaration directives requires a self management distributed approach to deal with student's mobility, allowing frequent updates in institutions rules or legislation. This paper suggests a computational system architecture, which follows a social network design. A set of structured annotations is proposed in order to organize the user's information. For instance, when the user is a student its annotations are organized into an academic record. The academic record data is used to discover interests, namely mobility interests, among students that belongs the academic network. These ideas have been applied into a demonstrator that includes a mobility simulator to compare and show the student's academic evolution.