Abstract
Machine learning algorithms have evolved by exchanging simplicity and interpretability for accuracy, which prevents their adoption in critical tasks such as healthcare. Progress can be made by improving interpretability of complex models while preserving performance. This work introduces an extension of interpretable mimic learning which teaches in-terpretable models to mimic predictions of complex deep neural networks, not only on binary problems but also in ordinal settings. The results show that the mimic models have comparative performance to Deep Neural Network models, with the advantage of being interpretable.

Abstract
O movimento é primordial para o desenvolvimento multilateral da criança e através dos jogos e brincadeiras contribui para a melhora das relações interpessoais. Já sua ausência pode limitar o desenvolvimento motor e influenciar em características da personalidade, cognição e emoções. O jogo constitui-se como a essência e razão da infância que através do seu universo imaginário pode melhorar sua percepção corporal, linguagem, autoeficácia, autoestima e autoconfiança. A autoconfiança é uma característica essencial da vida, já que se trata da capacidade de se ver bem-sucedido. Assim, o indivíduo confiante tem uma atitude positiva, desafia-se e assume riscos. O objetivo do estudo foi identificar a presença de capacidades empreendedoras, nomeadamente a autoconfiança em crianças do 1 ciclo do ensino Básico. Participaram no estudo 18 alunos (9 sexo feminino e 9 do sexo masculino) e 19 alunos (9 do sexo feminino e 10 do sexo masculino) do 3 ano de escolaridade de uma escola da área urbana de Braga, com idades entre 6 e 9 anos. Foi utilizado como instrumento um jogo construído e organizado, dividido em equipas que deveriam escolher entre 3 percursos constituídos por barreiras colocadas em diferentes alturas. Ao concluir o percurso foi atribuído pontuações de acordo com a dificuldade, sendo para o mais fácil 1 e 2 pontos, médio 2 e 3 pontos e mais difícil 3 e 4 pontos. Ao término do jogo a pontuação foi contada em voz alta pelo mediador para definir a equipe vencedora. Foram utilizadas análises descritivas para os comportamentos observados e atribuída as seguintes classificações: i) sim, verifica-se o comportamento; ii) Não, verifica-se comportamento oposto e iii) Não observado, não se verifica o comportamento. Os resultados em relação a subcategoria: I - Não se intimida mesmo havendo a possibilidade de ser confrontado com opiniões diferentes, foi constatado que a maioria das crianças apresentavam comportamentos, sejam eles positivos ou negativos. As meninas parecem ficar menos incomodadas com a possibilidade de serem confrontadas pelos colegas, relativamente a idade tanto as crianças de 6/7 quanto as de 8/9 apresentaram comportamentos positivos, sendo no mais novos onde mais comportamentos não observados ocorreram. Para a subcategoria II- Tem uma atitude positiva e confiante, foram observados resultados similares, sendo que a maioria das crianças apresentaram comportamento positivo, para ambos os géneros e referente a idade um pequeno destaque para os alunos mais velhos. Desta forma, a autoconfiança foi observada em contexto do jogo pois os comportamento foram maioritariamente positivos. para além de essencial na componente social e emocional, a autoconfiança é também uma características essenciais do perfil empreendedor.

Abstract
Wisdom of the crowds, Technological capabilities and Functional alignment, which when recognised and utilised in innovation processes, can unlock the ability to source, develop and commercialise ideas at rapid pace. The phenomenon is known as technological convergence. By definition, technological convergence is described as the process by which Information and Communications Technologies (ICTs) converge towards new and more unified markets. This convergence often leverages the three dimensions of innovation – economic, technical and functional. On the economic side, the focus of a focal firm is on maximising profits with minimal costs under resource constraints brought about in-part by liberalisation of markets. In this regard, open innovation which involves harnessing wisdom of the crowds at the fuzzy front-end of the innovation process has increasingly been promoted as a pragmatic mechanism for accessing widely distributed knowledge (Thanasopon, Papdopoulos & Vidgen, 2016), in large firms (Brunswicker & Chesbrough, 2018) and SMEs (Vanhaverbeke, Frattini, Roijakkers & Usman, 2018). On the technical side, the main driver has been the rise of enabling technologies, at times revolutioning social behaviour but mostly brought about through incremental shifts in technical abilities. Finally, convergence is realised through functional alignment, characterised by integration of computational, behaviour and communication factors in a unique value-proposition delivered through new product or new service (Canals, Torres & Borés, 2001). The growing prominence of technological convergence means firms can no longer afford to work in silos or rely on proprietory waterfall solutions to achieve competitive advantage and influence societal progress. Here, we build on our July 2018 editorial which emphasised the cumulative importance of management research and management practice working together for societal progress. W-T-F is offered here as the fundamental trilogy that both managers and researchers need to address to survive and thrive in an increasingly digitised and globally-connected world. (...)

Abstract
The penetration level of plug-in electric vehicles (PEVs) has a potential to be remarkably increased in the near future. As a result, the smart power systems will have new challenges and opportunities. The energy storing capability of PEVs is an attractive capability that enables PEVs to participate in providing ancillary services, e.g., load frequency control (LFC). This paper evaluates the participation of PEVs in load frequency control of a microgrid (MG) by using a decentralized multi-agent based control system. According to the proposed multi-agent based scheme, each PEV is considered as an agent that makes a synchronized decision for the participation in the LFC according to the global information. The required global information is discovered through the average consensus algorithm (ACA). The effect of time delay on the proposed method is investigated. Simulation studies are carried out in MATLAB-Simulink and show the effectiveness of the proposed decentralized control scheme.

Abstract
Tourist behavior has always been a central issue in the tourism discourse. Research in this area has long focused on destination choices, especially those destinations which still attract visitors despite of their security circumstances. Most of the tourists who choose traveling to a less safe destination are looking for new adventures, thus unique holidays. However, with that need of experiencing new sensations, and having a non-standard experiences, tourists cannot deny the fact of being attentive and taking precautions while traveling to an unsafe destination. The purpose of this research relies on defining what kind of precautions the tourists take while traveling to a destination which can threaten their safety, and in which way those precautions contribute to increase the tourist satisfaction.

Abstract
The Robot Operating System (ROS) is an open source framework for the development of robotic software, in which a typical system consists of multiple processes communicating under a publisher-subscriber architecture. A great deal of development time goes into orchestration and making sure that the communication interfaces comply with the expected contracts (e.g. receiving a message leads to the publication of another message). Orchestration mistakes are only detected during runtime, stressing the importance of component and integration testing in the verification process. Property-based Testing is fitting in this context, since it is based on the specification of contracts and treats tested components as black boxes, but there is no support for it in ROS. In this paper, we present a first approach towards automatic generation of test scripts for property-based testing of various configurations of a ROS system.