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EU-Projekt INSYSME : innovative Systeme für erdbebentaugliche Ausfachungswände aus Ziegelmauerwerk
(2014)
Am 1. Oktober 2013 ist das auf drei Jahre angelegte EU-Forschungsprojekt INSYSME – Innovative Systeme für erdbebentaugliche Ausfachungswände aus Ziegelmauerwerk in Stahlbetonrahmentragwerken – gestartet. Unter der Koordination der Universität Padua beteiligen sich 16 Partner aus sechs europäischen Ländern (Deutschland, Griechenland, Italien, Portugal, Rumänien, Türkei). Als deutsche Partner nehmen die Arbeitsgemeinschaft Mauerziegel aus Bonn, die Universität Kassel sowie das Ingenieurbüro SDA-engineering GmbH aus Herzogenrath, teil. Ziel der deutschen Partner ist die Entwicklung von innovativen Ausfachungssystemen aus monolithischem wärmedämmenden Ziegelmauerwerk, mit denen nicht nur eine erhöhte Erdbebensicherheit, sondern auch die sichere Erfüllung der steigenden Anforderungen aus Windbeanspruchungen gewährleistet werden können. Die Forschungsergebnisse sollen vom Partner SDA-engineering GmbH in die bereits seit einigen Jahren verfügbare Softwarelösung MINEA [1] integriert werden. Weitere Informationen stehen auf den Websites des Projektes [2] zur Verfügung. Im vorliegenden Beitrag werden nach einer kurzen thematischen Einführung die Ergebnisse von Tastversuchen an senkrecht zur Ebene belasteten Ausfachungswänden aus Planziegelmauerwerk vorgestellt. Im Anschluss wird das geplante Arbeitsprogramm der deutschen Partner im Projekt INSYSME beschrieben.
Organic anion transporting polypeptide (Oatp) 1a/1b knockout and OATP1B1 and -1B3 humanized mouse models are promising tools for studying the roles of these transporters in drug disposition. Detailed characterization of these models will help to better understand their utility for predicting clinical outcomes. To advance this approach, we carried out a comprehensive analysis of these mouse lines by evaluating the compensatory changes in mRNA expression, quantifying the amounts of OATP1B1 and -1B3 protein by liquid chromatography–tandem mass spectrometry, and studying the active uptake in isolated hepatocytes and the pharmacokinetics of some prototypical substrates including statins. Major outcomes from these studies were 1) mostly moderate compensatory changes in only a few genes involved in drug metabolism and disposition, 2) a robust hepatic expression of OATP1B1 and -1B3 proteins in the respective humanized mouse models, and 3) functional activities of the human transporters in hepatocytes isolated from the humanized models with several substrates tested in vitro and with pravastatin in vivo. However, the expression of OATP1B1 and -1B3 in the humanized models did not significantly alter liver or plasma concentrations of rosuvastatin and pitavastatin compared with Oatp1a/1b knockout controls under the conditions used in our studies. Hence, although the humanized OATP1B1 and -1B3 mice showed in vitro and/or in vivo functional activity with some statins, further characterization of these models is required to define their potential use and limitations in the prediction of drug disposition and drug-drug interactions in humans.
Network theory provides novel concepts that promise an improved characterization of interacting dynamical systems. Within this framework, evolving networks can be considered as being composed of nodes, representing systems, and of time-varying edges, representing interactions between these systems. This approach is highly attractive to further our understanding of the physiological and pathophysiological dynamics in human brain networks. Indeed, there is growing evidence that the epileptic process can be regarded as a large-scale network phenomenon. We here review methodologies for inferring networks from empirical time series and for a characterization of these evolving networks. We summarize recent findings derived from studies that investigate human epileptic brain networks evolving on timescales ranging from few seconds to weeks. We point to possible pitfalls and open issues, and discuss future perspectives.
The Dry Low NOx (DLN) Micromix combustion principle with increased energy density is adapted for the industrial gas turbine APU GTCP 36-300 using hydrogen and hydrogen-rich syngas with a composition of 90%-Vol. hydrogen (H₂) and 10%-Vol. carbon-monoxide (CO). Experimental and numerical studies of several combustor geometries for hydrogen and syngas show the successful advance of the DLN Micromix combustion from pure hydrogen to hydrogen-rich syngas. The impact of the different fuel properties on the combustion principle and aerodynamic flame stabilization design laws, flow field, flame structure and emission characteristics is investigated by numerical analysis using a hybrid Eddy Break Up combustion model and validated against experimental results.