TY - GEN A1 - Zahari, Finn A1 - Schlichting, Felix A1 - Strobel, Julian A1 - Dirkmann, Sven A1 - Cipo, Julia A1 - Gauter, Sven A1 - Trieschmann, Jan A1 - Marquardt, Richard A1 - Haberfehlner, Georg A1 - Kothleitner, Gerald A1 - Kienle, Lorenz A1 - Mussenbrock, Thomas A1 - Ziegler, Martin A1 - Kersten, Holger A1 - Kohlstedt, Hermann T1 - Correlation between sputter deposition parameters and I-V characteristics in double-barrier memristive devices T2 - Journal of Vacuum Science & Technology Y1 - 2019 U6 - https://doi.org/10.1116/1.5119984 SN - 1520-8559 VL - 37 IS - 6 SP - 061203 ER - TY - GEN A1 - Künzel, Stephan R. A1 - Rausch, Johanna S. E. A1 - Schäffer, Charlotte A1 - Hoffmann, Maximilian A1 - Künzel, Karolina A1 - Klapproth, Erik A1 - Kant, Theresa A1 - Herzog, Natalie A1 - Küpper, Jan-Heiner A1 - Lorenz, Kristina A1 - Dudek, Svenja A1 - Emig, Ramona A1 - Ravens, Ursula A1 - Rog‐Zielinska, Eva A. A1 - Peyronnet, Rémi A1 - El‐Armouche, Ali T1 - Modeling atrial fibrosis in vitro - Generation and characterization of a novel human atrial fibroblast cell line T2 - FEBS Open Bio N2 - Atrial fibrillation (AF) is regularly accompanied by cardiac fibrosis and concomitant heart failure. Due to the heterogeneous nature and complexity of fibrosis, the knowledge about the underlying mechanisms is limited, which prevents effective pharmacotherapy. A deeper understanding of cardiac fibroblasts is essential to meet this need. We previously described phenotypic and functional differences between atrial fibroblasts from patients in sinus rhythm and with AF. Herein, we established and characterized a novel human atrial fibroblast line, which displays typical fibroblast morphology and function comparable to primary cells but with improved proliferation capacity and low spontaneous myofibroblast differentiation. These traits make our model suitable for the study of fibrosis mechanisms and for drug screening aimed at developing effective antifibrotic pharmacotherapy. KW - cardiovascular disease KW - cell culture KW - cell lines KW - fibroblasts KW - fibrosis KW - heart Y1 - 2020 U6 - https://doi.org/10.1002/2211-5463.12896 SN - 2211-5463 VL - 10 IS - 7 SP - 1210 EP - 1218 ER - TY - GEN A1 - Lorenz, Jan A1 - Urbig, Diemo T1 - About the power to enforce and prevent consensus by manipulating communication rules T2 - Advances in Complex Systems N2 - We explore the possibilities of enforcing and preventing consensus in continuous opinion dynamics that result from modifications in the communication rules. We refer to the model of Weisbuch and Deffuant, where n agents adjust their continuous opinions as a result of random pairwise encounters whenever their opinions differ not more than a given bound of confidence ε. A high ε leads to consensus, while a lower ε leads to a fragmentation into several opinion clusters. We drop the random encounter assumption and ask: How small may ε be such that consensus is still possible with a certain communication plan for the entire group? Mathematical analysis shows that ε may be significantly smaller than in the random pairwise case. On the other hand, we ask: How large may ε be such that preventing consensus is still possible? In answering this question, we prove Fortunato's simulation result that consensus cannot be prevented for ε 0.5 for large groups. Next, we consider opinion dynamics under different individual strategies and examine their power to increase the chances of consensus. One result is that balancing agents increase chances of consensus, especially if the agents are cautious in adapting their opinions. However, curious agents increase chances of consensus only if those agents are not cautious in adapting their opinions. Y1 - 2007 U6 - https://doi.org/10.1142/S0219525907000982 SN - 0219-5259 VL - 10 IS - 02 SP - 251 EP - 269 ER - TY - GEN A1 - Urbig, Diemo A1 - Lorenz, Jan A1 - Herzberg, Heiko T1 - Opinion dynamics: The effect of number of peers met at once T2 - Journal of Artificial Societies and Social Simulation N2 - The opinion dynamics model introduced by Deffuant and Weisbuch as well as the one by Hegselmann and Krause are rather similar. In both models individuals are assumed to have opinions about an issue, they meet and discuss, and they may adapt their opinions towards the other agents` opinions or may ignore each other if their positions are too different. Both models differ with respect to the number of peers they meet at once. Furthermore the model by Deffuant and Weisbuch has a convergence parameter that controls how fast agents adapt their opinions. By defining the reversed parameter as self-support we can extend the applicability of this parameter to scenarios with more than one interaction partner. We investigate the effects of changing the number of peers met at once, which is done for different population sizes, and the effects of changing the self-support. For describing the dynamics we look at different statistics, i.e. number of cluster, number of major clusters, and Gini coefficient. Y1 - 2008 UR - http://jasss.soc.surrey.ac.uk/11/2/4.html SN - 1460-7425 VL - 11 IS - 2 SP - 1 EP - 4 ER -