@inproceedings{JanduraWeinmann2023, author = {Jandura, Olaf and Weinmann, Carina}, title = {Greater Confusion in the Voter Market in Germany: Differences Between Subjective and Value-Based Categorization on the Left-Right Axis}, series = {Jahrestagung der DGPuK-Fachgruppe Rezeptions- und Wirkungsforschung 2022: Tagungsband}, booktitle = {Jahrestagung der DGPuK-Fachgruppe Rezeptions- und Wirkungsforschung 2022: Tagungsband}, editor = {Ziegele, Marc and K{\"u}mpel, Anna Sophie and Dienlin, Tobias}, publisher = {SSOAR}, address = {D{\"u}sseldorf}, doi = {10.21241/ssoar.96575}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-56419}, pages = {75 -- 92}, year = {2023}, abstract = {In den letzten Jahren war h{\"a}ufig von einem Rechtsruck in der Gesellschaft die Rede (O. Decker et al., 2016). Bev{\"o}lkerungsrepr{\"a}sentative Umfragedaten belegen diese These jedoch nicht. Weder die Allgemeine Bev{\"o}lkerungsumfrage der Sozialwissenschaften (ALLBUS) noch der European Social Survey zeigen f{\"u}r die letzten Jahrzehnte signifikante Ver{\"a}nderungen in der Selbstpositionierung der Befragten auf der Links-Rechts-Skala. Dies wirft die Frage auf, ob es sich bei dem behaupteten gesellschaftlichen Rechtsruck um ein soziologisches Wahrnehmungsph{\"a}nomen handelt, das durch die intensive {\"o}ffentliche Debatte verst{\"a}rkt wird, oder ob Zweifel an der Validit{\"a}t der politischen Selbstpositionierung auf der Links-Rechts-Skala angebracht sind. Der vorliegende Artikel befasst sich mit der letzteren Frage. Unsere Analysen ergaben, dass bei 31 \% der Befragten in unserer Stichprobe eine Divergenz zwischen der subjektiven Positionierung auf der Links-Rechts-Skala und einer wertbezogenen Positionierung besteht. Wir er{\"o}rtern, welche Variablen diese Divergenz erkl{\"a}ren k{\"o}nnen und welche Konsequenzen daraus f{\"u}r die kommunikationswissenschaftliche Forschung gezogen werden k{\"o}nnen.}, subject = {Politische Einstellung}, language = {en} } @article{ShajahanBenim2026, author = {Shajahan, Mohamed Iqbal and Benim, Ali Cemal}, title = {Granular PCM based heat sink for electronics thermal management}, series = {Applied Thermal Engineering}, volume = {286}, journal = {Applied Thermal Engineering}, publisher = {Elsevier}, issn = {1359-4311}, doi = {10.1016/j.applthermaleng.2025.129336}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-59649}, year = {2026}, abstract = {This study investigates aluminum heat sinks integrated with GR42 phase change material (PCM), aiming to enhance thermal inertia and stabilize device temperatures. This is important, since the increasing miniaturization and performance demands for electronic devices have led in a growing need for advanced thermal management systems capable of handling rapid transient loads. The novelty of the work lies in examining different heat sink layouts that optimize the heat dissipation capabilities of GR42 PCMs while minimizing size and weight for electronic cooling. The experimental testing was conducted using three configurations, namely no fin, circular fin and hexagonal fin, with three input powers (4 W, 8 W, and 12 W). The experimental results show that the hexagonal-fin heat sink, surface area is 25 \% more than circular fins, exhibited superior thermal performance without significant variation in input power. Notably, the hexagonal-fin heat sink achieved the desired set point temperature of 55 ◦C in 33 \% less time than the circular-fin design and 45 \% less time than the heat sink without fins. Furthermore, the peak temperatures increased up to 21 \% for circular fins. During the charging cycles, the enhancement ratios vary from 72 \% and begin to narrow to 25 \% during discharge cycles. The hexagonal-fin configuration also exhibited superior melting dynamics, completing the phase transition 44 \% faster at higher input power than the circular fins, and established a thermal deviation of nearly 51 \% less than finless heat sinks. These findings underscore the critical role of fin geometry and PCM integration in achieving uniform temperature distribution and improved energy storage efficiency. Overall, the hexagonal-fin heat sink with GR42 PCM shows strong potential as a passive cooling solution for low-power portable electronic devices.}, language = {en} } @unpublished{YuwonoLoeppenbergSchwungetal.2024, author = {Yuwono, Steve and L{\"o}ppenberg, Marlon and Schwung, Dorothea and Schwung, Andreas}, title = {Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems}, series = {arxiv}, journal = {arxiv}, publisher = {arxiv}, doi = {10.48550/arXiv.2406.10015}, year = {2024}, abstract = {In this paper, we introduce novel gradient-based optimization methods for state-based potential games (SbPGs) within self-learning distributed production systems. SbPGs are recognised for their efficacy in enabling self-optimizing distributed multi-agent systems and offer a proven convergence guarantee, which facilitates collaborative player efforts towards global objectives. Our study strives to replace conventional ad-hoc random exploration-based learning in SbPGs with contemporary gradient-based approaches, which aim for faster convergence and smoother exploration dynamics, thereby shortening training duration while upholding the efficacy of SbPGs. Moreover, we propose three distinct variants for estimating the objective function of gradient-based learning, each developed to suit the unique characteristics of the systems under consideration. To validate our methodology, we apply it to a laboratory testbed, namely Bulk Good Laboratory Plant, which represents a smart and flexible distributed multi-agent production system. The incorporation of gradient-based learning in SbPGs reduces training times and achieves more optimal policies than its baseline.}, subject = {Maschinelles Lernen}, language = {en} } @inproceedings{BeckerLippelZielke2019, author = {Becker, Martin and Lippel, Jens and Zielke, Thomas}, title = {Gradient Descent Analysis: On Visualizing the Training of Deep Neural Networks}, series = {VISIGRAPP 2019: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : Prague, Czech Republic, February 25-27, 2019}, volume = {Volume: 3}, booktitle = {VISIGRAPP 2019: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : Prague, Czech Republic, February 25-27, 2019}, publisher = {INSTICC}, isbn = {978-989-758-354-4}, doi = {10.5220/0007583403380345}, pages = {338 -- 345}, year = {2019}, language = {en} } @techreport{Deckert2024, author = {Deckert, Carsten}, title = {Good Vibrations from Electronic Circuits: The Technological Development of the Synthesizer}, issn = {2941-4075}, doi = {10.20385/opus4-4439}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-44394}, pages = {28}, year = {2024}, language = {en} } @article{deJongeMildauMeijeretal.2022, author = {de Jonge, Niek F. and Mildau, Kevin and Meijer, David and Louwen, Joris J. R. and Bueschl, Christoph and Huber, Florian and van der Hooft, Justin J. J.}, title = {Good practices and recommendations for using and benchmarking computational metabolomics metabolite annotation tools}, series = {Metabolomics}, volume = {18}, journal = {Metabolomics}, number = {12}, publisher = {Springer Nature}, issn = {1573-3890}, doi = {10.1007/s11306-022-01963-y}, pages = {22}, year = {2022}, abstract = {Background Untargeted metabolomics approaches based on mass spectrometry obtain comprehensive profiles of complex biological samples. However, on average only 10\% of the molecules can be annotated. This low annotation rate hampers biochemical interpretation and effective comparison of metabolomics studies. Furthermore, de novo structural characterization of mass spectral data remains a complicated and time-intensive process. Recently, the field of computational metabolomics has gained traction and novel methods have started to enable large-scale and reliable metabolite annotation. Molecular networking and machine learning-based in-silico annotation tools have been shown to greatly assist metabolite characterization in diverse fields such as clinical metabolomics and natural product discovery. Aim of review We highlight recent advances in computational metabolite annotation workflows with a special focus on their evaluation and comparison with other tools. Whilst the progress is substantial and promising, we also argue that inconsistencies in benchmarking different tools hamper users from selecting the most appropriate and promising method for their research. We summarize benchmarking strategies of the different tools and outline several recommendations for benchmarking and comparing novel tools. Key scientific concepts of review This review focuses on recent advances in mass spectral library-based and machine learning-supported metabolite annotation workflows. We discuss large-scale library matching and analogue search, the current bloom of mass spectral similarity scores, and how molecular networking has changed the field. In addition, the potentials and challenges of machine learning-supported metabolite annotation workflows are highlighted. Overall, recent developments in computational metabolomics have started to fundamentally change metabolomics workflows, and we expect that as a community we will be able to overcome current method performance ambiguities and annotation bottlenecks.}, subject = {Metabolomik}, language = {en} } @inproceedings{GeigerThieleMeyeretal.2013, author = {Geiger, Christian and Thiele, Simon and Meyer, Laurid and Meyer, Stefan and H{\"o}ren, Lutz and Drochtert, Daniel}, title = {Goin' Goblins - Iterative Design of an Entertaining Archery Experience}, series = {Advances in Computer Entertainment. 10th International Conference, ACE 2013, Boekelo, The Netherlands, November 12-15, 2013. Proceedings}, volume = {8253}, booktitle = {Advances in Computer Entertainment. 10th International Conference, ACE 2013, Boekelo, The Netherlands, November 12-15, 2013. Proceedings}, editor = {Reidsma, Dennis and Katayose, Haruhiro and Nijholt, Anton}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-03160-6}, doi = {10.1007/978-3-319-03161-3_20}, pages = {284 -- 295}, year = {2013}, language = {en} } @incollection{Virchow2019, author = {Virchow, Fabian}, title = {Globalization, Crisis, and Right-Wing Populism in Context}, series = {Stifled Progress - International Perspectives on Social Work and Social Policy in the Era of Right-Wing Populism}, booktitle = {Stifled Progress - International Perspectives on Social Work and Social Policy in the Era of Right-Wing Populism}, editor = {Fischer, J{\"o}rg and Dunn, Kerry}, publisher = {Verlag Barbara Budrich}, address = {Opladen}, isbn = {9783847413233}, pages = {59 -- 70}, year = {2019}, language = {en} } @article{MiguelesRowlandsHuberetal.2019, author = {Migueles, Jairo H. and Rowlands, Alex V. and Huber, Florian and Sabia, S{\´e}verine and van Hees, Vincent T.}, title = {GGIR: A Research Community-Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data}, series = {Journal for the Measurement of Physical Behaviour}, volume = {2}, journal = {Journal for the Measurement of Physical Behaviour}, number = {3}, publisher = {Human Kinetics}, issn = {2575-6605}, doi = {10.1123/jmpb.2018-0063}, pages = {188 -- 196}, year = {2019}, language = {en} } @incollection{Virchow2023, author = {Virchow, Fabian}, title = {Germany}, series = {Routledge Handbook of Violent Extremism and Resilience}, booktitle = {Routledge Handbook of Violent Extremism and Resilience}, edition = {1}, publisher = {Routledge}, address = {London}, isbn = {9781003267102}, doi = {10.4324/9781003267102-13}, pages = {168 -- 180}, year = {2023}, subject = {Rechtsradikalismus}, language = {en} }