Money laundering and virtual money: the bitcoin example

Money laundering operations faced multiple changes and become more complex, in line with financial innovation. Often, regulation does not follow that innovation, giving opportunity to take advantage of thes e gaps in less lawful activities. The bitcoin is a virtual currency that has grown significantly, both in value and in volume of transactions, in recent years. The dimension of the phenomenon led to an increasing surveillance from the financial supervisors . We search for evidence of the relationship between money laundering and transactions carried out in bitcoins, the most popular virtual currency at the moment. We analyse the official publications relating the two themes, academic research and the notori ety within the international media. The attitudes toward the bitcoin are diverse, but all share concerns about its future impact. Some sparse evidence indicates that bitcoin may be an opportunity for money laundering, however more data is required.

Semi-automatic 3D Segmentation Of Costal Cartilage In CT Data From Pectus Excavatum Patients

One of the current frontiers in the clinical management of Pectus Excavatum (PE) patients is the prediction of the surgical outcome prior to the intervention. This can be done through computerized simulation of the Nuss procedure, which requires an anatomically correct representation of the costal cartilage. To this end, we take advantage of the costal cartilage tubular structure to detect it through multi-scale vesselness filtering. This information is then used in an interactive 2D initialization procedure which uses anatomical maximum intensity projections of 3D vesselness feature images to efficiently initialize the 3D segmentation process. We identify the cartilage tissue centerlines in these projected 2D images using a livewire approach. We finally refine the 3D cartilage surface through region-based sparse field level-sets. We have tested the proposed algorithm in 6 noncontrast CT datasets from PE patients. A good segmentation performance was found against reference manual contouring, with an average Dice coefficient of 0.75±0.04 and an average mean surface distance of 1.69±0.30mm. The proposed method requires roughly 1 minute for the interactive initialization step, which can positively contribute to an extended use of this tool in clinical practice, since current manual delineation of the costal cartilage can take up to an hour.

Comunidade de práticas virtual para investigadores : um projeto em desenvolvimento

As Comunidades de Prática fomentam a aprendizagem, transmissão e produção de conhecimento na organização. Contudo, esta perspetiva é ainda pouco desenvolvida nas comunidades online de e para investigadores. Neste artigo, apresenta-se o plano de desenvolvimento de uma Comunidade de Prática, desenvolvida na plataforma Moodle e num grupo no Facebook, para investigadores na Universidade Aberta, alicerçado num enquadramento teórico do tema, com o qual se pretende reforçar a comunicação online e cooperação entre os investigadores, potencializando a coesão e melhoria de práticas a nível da investigação. Pela análise de entrevistas realizadas aos investigadores e das dinâmicas geradas no grupo de Facebook verifica-se interesse no desenvolvimento de projetos de investigação e preferência pelo trabalho em equipa, apesar da falta de financiamento, tempo ou apoio. Apurou-se ainda um aumento de interações em publicações dos próprios investigadores, sendo que, em média, apenas 21 dos 43 membros do grupo visualizam as publicações, havendo maior ou menor interesse conforme o tipo de publicação feita.

A bot spooler architecture to integrate virtual worlds with e-learning management systems for corporate training

Joining efforts of academic and corporate teams, we developed an integration architecture - MULTIS - that enables corporate e-learning managers to use a Learning Management System (LMS) for management of educational activities in virtual worlds. This architecture was then implemented for the Formare LMS. In this paper we present this architecture and concretizations of its implementation for the Second Life Grid/OpenSimulator virtual world platforms. Current systems are focused on activities managed by individual trainers, rather than groups of trainers and large numbers of trainees: they focus on providing the LMS with information about educational activities taking place in a virtual world and/or being able to access within the virtual world some of the information stored in the LMS, and disregard the streamlining of activity setup and data collection in multi-trainer contexts, among other administrative issues. This architecture aims to overcome the limitations of existing systems for organizational management of corporate e-learning activities.

Utilidade da PET/CT, (18F-FDG), no estudo do linfoma Hodgkin e linfoma não Hodgkin

Os linfomas são tumores estabelecidos a nível do sistema linfático. Devido à sua heterogeneidade classificam-se como Linfoma Hodgkin (LH) e Linfoma não Hodgkin (LNH), apresentando diferente prognóstico e seguimento quimioterapêutico. Actualmente, a Photon Emission Tomography/Computed Tomography (PET/CT, do acrónimo inglês) é considerada “imagem” de excelência no estudo desta patologia. Neste contexto, é objectivo deste artigo verificar a utilidade da técnica PET/CT e correlacionar o valor de Standard Uptake Value (SUV), obtido pela PET, com o estadio histológico do linfoma e com a resposta ao tratamento quimioterapêutico. Metodologia - Analisaram-se retrospectivamente 356 estudos respeitantes a 231 pacientes, aos quais se realizou uma PET/CT para estadiamento, estudo de massa ou avaliação da resposta ao tratamento. Após a administração de uma actividade média de 18F-FDG de 288,6 MBq, foram adquiridas imagens numa PET/CT GE Discovery ST. Os resultados obtidos foram comparados com os dados clínicos dos pacientes. Resultados - Foram encontradas diferenças significativas entre a idade Vs tipo de linfoma. Não foram encontradas diferenças significativas entre: valor de SUVmáx ganglionar, lesões extra-ganglionares e seu valor de SUV relativamente ao tipo de linfoma. Comprovou-se a influência da PET/CT na alteração do estadio do linfoma e atitude terapêutica. Em última análise, obtiveram-se respectivamente os seguintes valores de sensibilidade, especificidade e exactidão: 98%, 79% e 88%. Conclusões - Os resultados obtidos permitem verificar a importância da imagem PET/CT no estadiamento, monitorização e alteração da atitude terapêutica dos LH e LNH.

Utilidade do PET/CT na caracterização do nódulo solitário pulmonar

Introdução – O cancro de pulmão/traqueia e brônquios é a principal causa de morte por neoplasia na União Europeia. A técnica de duas aquisições de imagem em tempos diferentes no Positron Emission Tomography/Computed Tomography (PET/CT) tem sido referenciada em alguns artigos como uma mais-valia no diagnóstico do cancro do pulmão. O objectivo deste estudo consiste em avaliar a eficiência diagnóstica do PET/CT com a aquisição das duas imagens em tempos diferentes na caracterização do nódulo solitário pulmonar (NSP), tendo em conta a histologia e o tamanho do nódulo. Metodologia – Foram analisados 115 NSP, num total de 110 pacientes, dos quais 65 nódulos eram malignos. Adquiriram-se duas imagens, a primeira a um tempo médio de 52 minutos e a segunda a um tempo médio de 125 minutos após administração do 18F-2-fluoro-2-deoxi-D-glucose (18F-FDG). Para a análise das imagens obteve-se o standard uptake value máximo (SUVmax) e a percentagem de variação dos SUVmax (%variação). Resultados – A %variação apresenta valores de eficiência diagnóstica superiores à análise dos SUVmax em separado. Existem também diferenças significativas na histologia e no SUVmax, registando-se um aumento do SUVmax2 comparativamente ao SUVmax1 nas patologias malignas. Conclusão – A técnica da aquisição de duas imagens em tempos diferentes mostrou ser mais eficaz na caracterização do NSP do que a análise de apenas uma imagem.

(Virtual) Agents for running electricity markets

This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, named TEMMAS (The Electricity Market Multi-Agent Simulator), explores the integration of two design constructs: (i) the specification of the environmental physical market properties and (ii) the specification of the decision-making (deliberative) and reactive agents. TEMMAS is materialized in an experimental setup involving distinct power generator companies that operate in the market and search for the trading strategies that best exploit their generating units' resources. The experimental results show a coherent market behavior that emerges from the overall simulated environment.

Innovation through virtual communities of Practice: motivation and constraints in the knowledge-creation process

Communities of Practice are places which provide a sound basis for organizational learning, enabling knowledge creation and acquisition thus improving organizational performance, leveraging innovation and consequently increasing competitively. Virtual Communities of Practice (VCoP‟s) can perform a central role in promoting communication and collaboration between members who are dispersed in both time and space. The ongoing case study, described here, aims to identify both the motivations and the constraints that members of an organization experience when taking part in the knowledge creating processes of the VCoP‟s to which they belong. Based on a literature review, we have identified several factors that influence such processes; they will be used to analyse the results of interviews carried out with the leaders of VCoP‟s in four multinationals. As future work, a questionnaire will be developed and administered to the other members of these VCoP‟s

Virtual communities of practice: investigating motivations and constraints in the processes of knowledge creation and transfer

With accelerated market volatility, faster response times and increased globalization, business environments are going through a major transformation and firms have intensified their search for strategies which can give them competitive advantage. This requires that companies continuously innovate, to think of new ideas that can be transformed or implemented as products, processes or services, generating value for the firm. Innovative solutions and processes are usually developed by a group of people, working together. A grouping of people that share and create new knowledge can be considered as a Community of Practice (CoP). CoP’s are places which provide a sound basis for organizational learning and encourage knowledge creation and acquisition. Virtual Communities of Practice (VCoP's) can perform a central role in promoting communication and collaboration between members who are dispersed in both time and space. Nevertheless, it is known that not all CoP's and VCoP's share the same levels of performance or produce the same results. This means that there are factors that enable or constrain the process of knowledge creation. With this in mind, we developed a case study in order to identify both the motivations and the constraints that members of an organization experience when taking part in the knowledge creating processes of VCoP's. Results show that organizational culture and professional and personal development play an important role in these processes. No interviewee referred to direct financial rewards as a motivation factor for participation in VCoPs. Most identified the difficulty in aligning objectives established by the management with justification for the time spent in the VCoP. The interviewees also said that technology is not a constraint.

Virtual communities of practice: examining the motivations and constraints in their knowledge creation and knowledge transfer preocesses

Paper accepted for the OKLC 2009 - International Conference on Organizational Learning, Knowledge and Capabilities (26-28th, April 2009, Amsterdam, the Netherlands).

A checkpointing-enabled and resource-aware Java Virtual Machine for efficient and robust e-Science applications in grid environments

Object-oriented programming languages presently are the dominant paradigm of application development (e. g., Java,. NET). Lately, increasingly more Java applications have long (or very long) execution times and manipulate large amounts of data/information, gaining relevance in fields related with e-Science (with Grid and Cloud computing). Significant examples include Chemistry, Computational Biology and Bio-informatics, with many available Java-based APIs (e. g., Neobio). Often, when the execution of such an application is terminated abruptly because of a failure (regardless of the cause being a hardware of software fault, lack of available resources, etc.), all of its work already performed is simply lost, and when the application is later re-initiated, it has to restart all its work from scratch, wasting resources and time, while also being prone to another failure and may delay its completion with no deadline guarantees. Our proposed solution to address these issues is through incorporating mechanisms for checkpointing and migration in a JVM. These make applications more robust and flexible by being able to move to other nodes, without any intervention from the programmer. This article provides a solution to Java applications with long execution times, by extending a JVM (Jikes research virtual machine) with such mechanisms. Copyright (C) 2011 John Wiley & Sons, Ltd.

Virtual power producers integration into MASCEM

All over the world Distributed Generation is seen as a valuable help to get cleaner and more efficient electricity. Under this context distributed generators, owned by different decentralized players can provide a significant amount of the electricity generation. To get negotiation power and advantages of scale economy, these players can be aggregated giving place to a new concept: the Virtual Power Producer. Virtual Power Producers are multi-technology and multi-site heterogeneous entities. Virtual Power Producers should adopt organization and management methodologies so that they can make Distributed Generation a really profitable activity, able to participate in the market. In this paper we address the integration of Virtual Power Producers into an electricity market simulator –MASCEM – as a coalition of distributed producers.

Virtual power players demand response programs management based on locational marginal prices

Power systems have been suffering huge changes mainly due to the substantial increase of distributed generation and to the operation in competitive environments. Virtual power players can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. Resource management gains an increasing relevance in this competitive context, while demand side active role provides managers with increased demand elasticity. This makes demand response use more interesting and flexible, giving rise to a wide range of new opportunities.This paper proposes a methodology for managing demand response programs in the scope of virtual power players. The proposed method is based on the calculation of locational marginal prices (LMP). The evaluation of the impact of using demand response specific programs on the LMP value supports the manager decision concerning demand response use. The proposed method has been computationally implemented and its application is illustrated in this paper using a 32 bus network with intensive use of distributed generation.

Energy resource scheduling in a real distribution network managed by several virtual power players

Smart Grids (SGs) appeared as the new paradigm for power system management and operation, being designed to integrate large amounts of distributed energy resources. This new paradigm requires a more efficient Energy Resource Management (ERM) and, simultaneously, makes this a more complex problem, due to the intensive use of distributed energy resources (DER), such as distributed generation, active consumers with demand response contracts, and storage units. This paper presents a methodology to address the energy resource scheduling, considering an intensive use of distributed generation and demand response contracts. A case study of a 30 kV real distribution network, including a substation with 6 feeders and 937 buses, is used to demonstrate the effectiveness of the proposed methodology. This network is managed by six virtual power players (VPP) with capability to manage the DER and the distribution network.