2,256 research outputs found

    Morphology and art in the work of Lelio Orci

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    : Lelio Orci, chairman of the Department of Morphology at the University of Geneva Medical School in Switzerland, was one of the most eminent morphologists of the last century, author of fundamental contributions to the study of microanatomy, especially regarding the ultrastructure of the endocrine pancreas and of the molecular mechanisms of cell secretion. In his work, Orci transformed EM-ultrastructure into a creative art form. The aim of this article is to demonstrate, through a few examples of the scientific work of this extraordinary scientist the reality of this assertion

    Possibilities and challenges of an integrated development using a combined SysML-model and corresponding domain specific models

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    The development of a production plant, with multiple involved disciplines, requires many different models such as simulation models for the physical domain or models of the control-software. As all these models represent parts of the same system, it is inefficient to develop every model from scratch. Rather an integrated model, which considers all relevant aspects, should be set up first and from this the required domain specific models should be generated through model transformations. For the integrated model, the Systems Modeling Language (SysML) poses a suitable possibility to integrate the views of the different disciplines. Based on a literature research, existing model transformations from the integrated model to specific models as well as necessary extensions are presented. In this way a framework for an integrated development, where the SysML-model forms the integrating core model of the system, while the simulation of the different parts is carried out in domain specific simulation tools, can be established. Core benefits of this method are the consistency of the models, and the fast and cost-efficient simulation and testing of the system at different points of the development cycle and with different levels of detail. © IFAC

    Famous battles: a typology

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    Why are some battles remembered more than others? Surprisingly, it is not just size that matters, nor the number of dead, the 'decisiveness' of battles or their effects on communities and civilisations. It is their political afterlife-the multiple meanings and political uses attributed to them-that determines their fame. This ground-breaking series goes well beyond military history by exploring the transformation of battles into sites of memory and meaning. Cast into epic myths of the fight of Good against Evil, of punishment for decadence or reward for virtue, of the birth of a nation or the collective assertion against a tyrant, the defence of Civilisation against the Barbarians, Christendom against the Infidel, particular battles have acquired fame beyond their immediate contemporaneous relevance. The epic battles of European history examined in this first volume range from the siege of Troy and the encounters of Marathon and Thermopylai, to the wars of the Israelites which inspired the way many later battles would be narrated; and from the triumphs and defeats of the Roman Empire, to Hastings, the massacre of B ziers and the battle of Courtrai. In each chapter, the historical events surrounding a battle form the backdrop for multi-layer interpretations, which, consciously or unconsciously, carry political agendas

    Author name disambiguation in digital libraries using social networks and genetic programming

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    Bibliotecas digitais tornaram-se uma importante fonte de informação para comunidades científicas. Entretanto, por coletar dados de diferentes fontes, surge o problema de informações ambíguas ou duplicadas de nomes de autores. Métodos tradicionais de desambiguação de nomes utilizam informação sintática de atributos. Todavia, recentemente o uso de redes de relacionamentos, que traz informação semântica, tem sido estudado em desambiguação de dados. Em desambiguação de nomes de autores, relações de co-autoria podem ser usadas para criar uma rede social, que pode ser utilizada para melhorar métodos de desambiguação de nomes de autores. Esta dissertação apresenta um estudo do impacto de adicionar análise de redes sociais a métodos de desambiguação de nomes de autores baseados em informação sintática de atributos. Nós apresentamos uma abordagem de aprendizagem de máquina baseada em Programação Genética e a utilizamos para avaliar o impacto de adicionar análise de redes sociais a desambiguação de nomes de autores. Através de experimentos usando subconjuntos de bibliotecas digitais reais, nós demonstramos que o uso de análise de redes sociais melhora de forma significativa a qualidade dos resultados. Adicionalmente, nós demonstramos que as funções de casamento criadas por nossa abordagem baseada em Programação Genética são capazes de competir com métodos do estado da arte.Digital libraries have become an important source of information for scientific communities. However, by gathering data from different sources, the problem of duplicate and ambiguous information about author names arises. Traditional methods of name disambiguation use syntactic attribute information. However, recently the use of relationship networks, which provides semantic information, has been studied in data disambiguation. In author name disambiguation, the co-authorship relations can be used to create a social network, which can be used to improve author name disambiguation methods. This dissertation presents a study of the impact of adding social network analysis to author name disambiguation methods based on syntactic attribute information. We present a machine learning approach based on Genetic Programming and use it to evaluate the impact of social network analysis in author name disambiguation. Through experiments using subsets of real digital libraries, we show that the use of social network analysis significantly improves the quality of results. Also, we demonstrate that match functions created by our Genetic Programming approach are able to compete with state-of-the-art methods

    Narrative Strategies in Benedikte Naubert's Neue Volksmarchen der Deutschen

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    MODULAR EXTENSION OF FZG-GEAR TEST RIG FOR IN-SITU MEASUREMENT POSSIBILITIES

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    Noise, Vibration and Harshness (NVH) engineering as well as gear damages are important topics for the usability of electromechanical powertrains in vehicles and for the future use of gears for any application. As part of the DFG-project sensor-integrating gear (german: Sensorintegrierendes Zahnrad (SIZA)) an FZG-gear test rig has been extended in order to allow various possibilities in sensing data close to the gear wheel and inside. The novelty of this approach is a gear that includes vibration sensors and capable of measuring close to the vibration source. FZG-gear test rigs are worldwide in operation and known out from ISO 14635 with their usability and robust design. Starting from a description of the test rig, an overview on the changes of its components for the integration of in-situ measurement is presented here. After a description of the test rig it is explained why parts are changed, which possibilities are not chosen and how the test rig is operating after the integration with the new parts. In order to minimize external disturbances of the signals, to avoid wrong assemblies as well as grant the efficient use of the test rig under the different operating conditions the internal structure, possible influence on sensing and the assembly had been considered. This paper shows how general design techniques like poka yoke had been used. Additionally, simulations and results before and after the new design are planned to show the impact of the constructional changes on the measurement results and on the tooth contact. As an outlook results of previous publications are referenced

    Challenges of interdisciplinary development of Cyber-Physical Production Systems

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    Model-based systems engineering has gained increasing application in the industrial development of a large number of technical systems. The use of various models is decisive for interdisciplinary innovations. However, it also comprises many challenges. The first challenge is the heterogeneous model landscape, which is characterized in particular by overlapping, partially redundantly modelled information. Second, the development, production and service processes are constantly subject to internal and external development cycles. To overcome these challenges, various methods and techniques can be used. In this paper, different approaches are investigated regarding their advantages and limitations: inconsistency management of coupled models in engineering, cross-disciplinary management of the engineering workflow, and the importance of smart data approaches
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