TY - CHAP A1 - Jandura, Olaf A1 - Weinmann, Carina ED - Ziegele, Marc ED - Kümpel, Anna Sophie ED - Dienlin, Tobias T1 - Greater Confusion in the Voter Market in Germany: Differences Between Subjective and Value-Based Categorization on the Left-Right Axis T2 - Jahrestagung der DGPuK-Fachgruppe Rezeptions- und Wirkungsforschung 2022: Tagungsband N2 - In den letzten Jahren war häufig von einem Rechtsruck in der Gesellschaft die Rede (O. Decker et al., 2016). Bevölkerungsrepräsentative Umfragedaten belegen diese These jedoch nicht. Weder die Allgemeine Bevölkerungsumfrage der Sozialwissenschaften (ALLBUS) noch der European Social Survey zeigen für die letzten Jahrzehnte signifikante Veränderungen 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 Wahrnehmungsphänomen handelt, das durch die intensive öffentliche Debatte verstärkt wird, oder ob Zweifel an der Validität 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 erörtern, welche Variablen diese Divergenz erklären können und welche Konsequenzen daraus für die kommunikationswissenschaftliche Forschung gezogen werden können. N2 - In recent years, there has been frequent talk of a shift to the right in society (O. Decker et al., 2016). However, population-representative survey data do not substantiate this thesis, with neither the German General Social Survey (ALLBUS) nor the European Social Survey showing any significant changes in respondents’ self-positioning on the left-right axis over the past decades. This raises the question of whether the purported societal shift to the right is a sociological perceptual phenomenon that is magnified due to intense public debate, or whether doubts about the validity of the question on political self-positioning on the left-right scale are warranted. The present article addresses the latter issue. Our analyses revealed a divergence between subjective positioning on the left-right axis and value-based positioning for 31% of respondents in our sample. We further discuss which variables may explain this divergence and what consequences can be drawn for research in communication science. KW - left-right scale KW - subjective positioning KW - value-based positioning KW - political values KW - Links-Rechts-Skala KW - subjektive Positionierung KW - wertbasierte Positionierung KW - politische Werte KW - Politische Einstellung Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-56419 SP - 75 EP - 92 PB - SSOAR CY - Düsseldorf ER - TY - JOUR A1 - Shajahan, Mohamed Iqbal A1 - Benim, Ali Cemal T1 - Granular PCM based heat sink for electronics thermal management JF - Applied Thermal Engineering N2 - 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. KW - Heat sinks KW - Portable electronic cooling KW - Latent heat storage KW - GR42 PCM KW - Hexagonal fin KW - Circular fin KW - HSD Publikationsfonds KW - DFG Publikationskosten Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-59649 SN - 1359-4311 VL - 286 PB - Elsevier ER - TY - INPR A1 - Yuwono, Steve A1 - Löppenberg, Marlon A1 - Schwung, Dorothea A1 - Schwung, Andreas T1 - Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems T2 - arxiv N2 - 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. KW - Machine Learning KW - Artificial Intelligence KW - Computer Science and Game Theory KW - Maschinelles Lernen KW - Künstliche Intelligenz KW - Spieltheorie Y1 - 2024 U6 - https://doi.org/10.48550/arXiv.2406.10015 PB - arxiv ER - TY - CHAP A1 - Becker, Martin A1 - Lippel, Jens A1 - Zielke, Thomas T1 - Gradient Descent Analysis: On Visualizing the Training of Deep Neural Networks T2 - 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 Y1 - 2019 SN - 978-989-758-354-4 U6 - https://doi.org/10.5220/0007583403380345 VL - Volume: 3 SP - 338 EP - 345 PB - INSTICC ER - TY - RPRT A1 - Deckert, Carsten T1 - Good Vibrations from Electronic Circuits: The Technological Development of the Synthesizer T3 - Business Cases in Industrial Engineering - 4 Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-44394 SN - 2941-4075 ER - TY - JOUR A1 - de Jonge, Niek F. A1 - Mildau, Kevin A1 - Meijer, David A1 - Louwen, Joris J. R. A1 - Bueschl, Christoph A1 - Huber, Florian A1 - van der Hooft, Justin J. J. T1 - Good practices and recommendations for using and benchmarking computational metabolomics metabolite annotation tools JF - Metabolomics N2 - 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. KW - Metabolomik KW - Massenspektrometrie KW - Maschinelles Lernen KW - Benchmarking KW - Mass fragmentation spectra Y1 - 2022 U6 - https://doi.org/10.1007/s11306-022-01963-y SN - 1573-3890 VL - 18 IS - 12 PB - Springer Nature ER - TY - CHAP A1 - Geiger, Christian A1 - Thiele, Simon A1 - Meyer, Laurid A1 - Meyer, Stefan A1 - Hören, Lutz A1 - Drochtert, Daniel ED - Reidsma, Dennis ED - Katayose, Haruhiro ED - Nijholt, Anton T1 - Goin’ Goblins - Iterative Design of an Entertaining Archery Experience T2 - Advances in Computer Entertainment. 10th International Conference, ACE 2013, Boekelo, The Netherlands, November 12-15, 2013. Proceedings Y1 - 2013 SN - 978-3-319-03160-6 U6 - https://doi.org/10.1007/978-3-319-03161-3_20 VL - 8253 SP - 284 EP - 295 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Virchow, Fabian ED - Fischer, Jörg ED - Dunn, Kerry T1 - Globalization, Crisis, and Right-Wing Populism in Context T2 - Stifled Progress – International Perspectives on Social Work and Social Policy in the Era of Right-Wing Populism Y1 - 2019 SN - 9783847413233 SP - 59 EP - 70 PB - Verlag Barbara Budrich CY - Opladen ER - TY - JOUR A1 - Migueles, Jairo H. A1 - Rowlands, Alex V. A1 - Huber, Florian A1 - Sabia, Séverine A1 - van Hees, Vincent T. T1 - GGIR: A Research Community–Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data JF - Journal for the Measurement of Physical Behaviour Y1 - 2019 U6 - https://doi.org/10.1123/jmpb.2018-0063 SN - 2575-6605 VL - 2 IS - 3 SP - 188 EP - 196 PB - Human Kinetics ER - TY - CHAP A1 - Virchow, Fabian T1 - Germany T2 - Routledge Handbook of Violent Extremism and Resilience KW - Rechtsradikalismus KW - Deutschland KW - Resilienz Y1 - 2023 SN - 9781003267102 U6 - https://doi.org/10.4324/9781003267102-13 SP - 168 EP - 180 PB - Routledge CY - London ET - 1 ER - TY - JOUR A1 - Titus, Juliane A1 - Kaluza, Stefan A1 - Marschall, Roland T1 - German Catalysis on an International Scale in Weimar JF - ChemCatChem Y1 - 2014 U6 - https://doi.org/10.1002/cctc.201402266 SN - 1867-3899 VL - 6 IS - 6 SP - 1523 EP - 1525 PB - Wiley ER - TY - JOUR A1 - Engel, Rebecca V. A1 - Kaluza, Stefan A1 - Oezaslan, Mehtap A1 - Peitz, Stephan T1 - German Catalysis Meeting - 50 Years and as Young as Ever JF - ChemCatChem Y1 - 2017 U6 - https://doi.org/10.1002/cctc.201700683 SN - 1867-3899 VL - 9 IS - 11 SP - 2018 EP - 2020 PB - Wiley ER - TY - CHAP A1 - Jendreiko, Christian ED - Arias, Joaquín ED - Azzolini, Damiano ED - Basu, Kinjal ED - Dahl, Veronica ED - Hecher, Markus ED - Pacenza, Francesco ED - Saribatur, Zeynep ED - Varanasi, Sarat C. T1 - Generative Logic: Teaching Prolog as Generative AI in Art and Design T2 - ICLP-WS 2024 ICLP Workshops 2024: Workshop Proceedings of the 40th International Conference on Logic Programming (ICLP-WS 2024) co-located with the 40th International Conference on Logic Programming (ICLP 2024) N2 - This paper introduces a method for teaching Prolog, especially to BA and MA students in art and design faculties. The method is called Exploring Generative Logic (EGL). The method is based on the concept of Generative Logic. Both methods are under development at the Faculty of Design, HSD, University of Applied Sciences, Düsseldorf. The basic idea of teaching Prolog with EGL is to present Prolog not as “another” programming language, but primarily as a logic AI. This perspective helps beginners gain a clear view of how Prolog works and focuses on understanding Prolog as a powerful generative AI, making it highly attractive in the domain of art and design. The author assumes that the EGL method can be easily adapted to other educational settings: education of non-programmers of all ages, including children in elementary or secondary schools, as well as students in other non-STEM curricula, to develop skills in logical thinking, digital literacy, AI literacy, and artistic literacy. The paper is divided into two parts: Part one provides an introduction to the basic ideas and objectives of the teaching method. Part two offers a description of the teaching method. KW - Generative Logic KW - Teaching Prolog KW - Logic Programming KW - Generative AI KW - Generative Design KW - Symbolic AI KW - Digital Literacy KW - AI Literacy Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-46771 SN - 1613-0073 VL - 3799 SP - 1 EP - 11 PB - RWTH Aachen CY - Aachen ER - TY - THES A1 - Versümer, Siegbert T1 - Generalized prediction of quiet indoor soundscapes based on retrospective and in-situ judgements N2 - This dissertation aims to enhance the understanding of how people perceive and react to everyday sounds, particularly in their homes. The focus is laid on indoor soundscapes and the interplay between acoustic measures, individual differences, and contextual factors. A retrospective online study and a field study at peoples’ homes based on the Experience Sampling Method were the ecologically valid ground truth for four key publications. These address significant gaps in soundscape research by providing insights into the factors influencing sound perception in real-life contexts, the evaluation of low-level (i.e., quiet) sounds, and the consequences of (in)appropriate statistical analysis of imbalanced hierarchical soundscape data. The studies reveal that the sound source category is a critical predictor of annoyance and the pleasantness of soundscapes, with different types of sounds (e.g., natural, human, technical) having distinct impacts. Contrary, the effect of acoustic measures like perceived and calculated loudness on sound perception was expected to be high but was masked by contextual factors. These were the perceived control over the acoustic situation and the affective state of a person in the specific situation, proving context-related perceptual measures to be more important than the sound itself. The research consequently highlights the need for automatic sound source identification in complex polyphony everyday sound environments and suggests that individual preferences and liking of sounds could be potential factors in predicting individual sound perception. The dissertation also emphasizes the importance of using appropriate statistical methods, including mixed-effects models and nonlinear regression techniques, to generate more generalizable and more valid results based on hierarchical and imbalanced soundscape data. The findings underscore the limitations of traditional acoustic metrics and advocate for the use of time-series data to better capture the dynamic nature of everyday sound environments in contrast to stimuli typically used in laboratory studies. The author further developed a multi-objective function for avoiding both over- and underfitting during hyperparameter tuning, significantly improving generalized model fitting in soundscape research. Overall, this work contributes to the field of soundscape research by providing a comprehensive analysis of sound perception in indoor environments, highlighting the importance of context, individual differences, and advanced statistical methods in understanding and modeling soundscapes. Finally, future perspectives were discussed, such as the focus on individual preferences, experiences, and expectations for the improved prediction of individual sound perception. N2 - Diese Dissertation verbessert das Verständnis dafür, wie Menschen alltägliche Geräusche wahrnehmen. Der Schwerpunkt liegt dabei auf der Geräuschkulisse in Innenräumen und dem Zusammenspiel von (psycho-)akustischen Messgrößen, individuellen Unterschieden und kontextuellen Faktoren. Eine retrospektive Online-Studie und eine Feldstudie in Wohnräumen der Probanden bildeten die ökologisch valide Grundlage der vier Schlüsselpublikationen. Diese untersuchen Faktoren, die die Geräuschwahrnehmung in realen Kontexten beeinflussen, indem sie die Bewertung von Geräuschen und die Folgen einer (un-)angemessenen statistischen Analyse von unausgewogenen hierarchischen Soundscape-Daten betrachten. Die Studien zeigen, dass die Kategorie der Geräuschquelle ein entscheidender Prädiktor für die Belästigung und die Angenehmheit ist. Entgegen der Erwartung, dass akustische Messgrößen wie die wahrgenommene und berechnete Lautheit einen großen Einfluss auf die Geräuschwahrnehmung haben, zeigte sich jedoch, dass diese durch kontextbezogene Faktoren maskiert wurde. Dabei handelte es sich um die empfundene Kontrolle über die akustische Situation und den emotionalen Zustand einer Person in der spezifischen Situation, wobei sich kontextbezogene Wahrnehmungsmaße als wichtiger erwiesen als das Umgebungsgeräusch selbst. Die Untersuchung unterstreicht folglich die Notwendigkeit einer automatischen Identifizierung von Geräuschquellen in komplexen polyphonen alltäglichen Geräuschumgebungen und legt nahe, dass individuelle Vorlieben für bestimmte Klänge wichtige Faktoren bei der Vorhersage der individuellen Geräuschwahrnehmung sein könnten. Die Dissertation unterstreicht zusätzlich die Bedeutung der Verwendung geeigneter statistischer Methoden, einschließlich Modellen mit gemischten Effekten und nichtlinearen Regressionstechniken, um verallgemeinerungsfähigere Ergebnisse auf der Grundlage hierarchischer und unausgewogener Daten von Soundscape-Studien zu erzielen. Die Ergebnisse zeigen zudem die Grenzen akustischer und psychoakustischer Metriken auf und implizieren die Verwendung von Zeitreihendaten, um die dynamische Natur alltäglicher Geräuschumgebungen besser zu repräsentieren. Darüber hinaus entwickelte der Autor eine Mehrzieloptimierung zur Vermeidung von Über- und Unteranpassung beim Hyperparametertuning, wodurch die Anpassung verallgemeinerbarer Modelle erheblich verbessert wird. Insgesamt leistet diese Arbeit einen wesentlichen Beitrag, indem sie eine umfassende Analyse der Geräuschwahrnehmung in Innenräumen liefert und die Bedeutung von Kontext, individuellen Unterschieden und angemessenen statistischen Methoden für das Verständnis und die Modellierung von Soundscapes hervorhebt. Abschließend werden mögliche Zukunftsperspektiven erörtert, wie z. B. der Fokus auf individuelle Präferenzen, Erfahrungen und Erwartungen für eine verbesserte Vorhersage der individuellen Geräuschwahrnehmung. KW - Psychoakustik KW - Lautwahrnehmung KW - Lautstärke KW - Belästigung Y1 - 2025 U6 - https://doi.org/10.14279/depositonce-23962 PB - Berlin CY - Technische Universität Berlin ER - TY - JOUR A1 - Eckhardt, Jennifer A1 - Kaletka, Christoph A1 - Pelka, Bastian A1 - Unterfrauner, Elisabeth A1 - Voigt, Christian A1 - Zirngiebl, Marthe T1 - Gender in the making: An empirical approach to understand gender relations in the maker movement JF - International Journal of Human-Computer Studies Y1 - 2021 U6 - https://doi.org/10.1016/j.ijhcs.2020.102548 SN - 1095-9300 VL - 145 IS - 102548 PB - Elsevier ER - TY - JOUR A1 - Möllmann, Anne A1 - Hunger, Antje A1 - Schulz, Claudia A1 - Wilhelm, Sabine A1 - Buhlmann, Ulrike T1 - Gazing rituals in body dysmorphic disorder JF - Journal of behavior therapy and experimental psychiatry KW - FBSK_Webseite Y1 - 2020 U6 - https://doi.org/10.1016/j.jbtep.2019.101522 VL - 68 PB - Elsevier ER - TY - JOUR A1 - Möllmann, Anne A1 - Hunger, Antje A1 - Dusend, Christina A1 - van den Hout, Marcel A1 - Buhlmann, Ulrike T1 - Gazing at facial features increases dissociation and decreases attractiveness ratings in non-clinical females - A potential explanation for a common ritual in body dysmorphic disorder JF - PloS one N2 - Rituals, such as gazing at faces, are common in body dysmorphic disorder (BDD) and appear in cognitive-behavioral models as a maintaining factor. Rituals are also common in obsessive-compulsive disorder (OCD). In contrast to OCD, the proposed associations between rituals and intrusive thoughts/appearance preoccupation have not been empirically investigated for BDD. We examined if the assumed effect of gazing rituals on attractiveness ratings exists and if it is associated with dissociation. In an experiment, we asked N = 65 non-clinical females to focus on the nose of a photographed face at pre- and post-test. In between, participants gazed at the nose of either the same (relevant gazing) or another face (irrelevant gazing). We found increasing dissociation after gazing in both conditions and a differentially stronger decrease of attractiveness ratings in the relevant gazing condition. Our findings support the hypothesized effect of gazing rituals on attractiveness evaluation in cognitive-behavioral models for BDD. Y1 - 2019 U6 - https://doi.org/10.1371/journal.pone.0219791 VL - 14 IS - 7 PB - PLoS ER - TY - CHAP A1 - Treskunov, Anastasia A1 - Vogel, Christoph A1 - Wróblewska, Marta A1 - Bertram, Michael A1 - Büntig, Fabian A1 - Geiger, Christian ED - Chisik, Yoram ED - Holopainen, Jussi ED - Khaled, Rilla ED - Luis Silva, José ED - Alexandra Silva, Paula T1 - G:RASS – Experiencing a City Through an Artist’s Eyes T2 - Intelligent Technologies for Interactive Entertainment: INTETAIN 2017, Funchal, Portugal, June 20-22, 2017, Proceedings Y1 - 2018 UR - https://doi.org/10.1007/978-3-319-73062-2_12 SN - 978-3-319-73061-5 U6 - https://doi.org/10.1007/978-3-319-73062-2_12 SP - 142 EP - 145 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Gaida, Daniel A1 - Stuhlsatz, André A1 - Meier, Hans-Günter ED - Wendemuth, Andreas ED - Meier, Hans-Günter T1 - Fusion of Visual and Inertial Measurements for Pose Estimation T2 - Proceedings of the Workshop on Emotion-, Speech- and Face Recognition with Advanced Classifiers: Düsseldorf, Germany, May 16 - 17, 2008 ; 3rd joined research workshop between Otto-von-Guericke University Magdeburg and the University of Applied Sciences FH Düsseldorf Y1 - 2008 SN - 9783940961242 SP - 39 EP - 48 PB - Otto-von-Guericke University Magdeburg CY - Magdeburg ER - TY - CHAP A1 - Triebus, Charlotte A1 - Harth, Jonathan A1 - Druzetic-Vogel, Ivana A1 - Geiger, Christian ED - De Paolis, Lucio Tommaso ED - Arpaia, Pasquale ED - Sacco, Marco T1 - From Tool to Space: Towards Classifying New Media Art T2 - Extended Reality: International Conference, XR Salento 2025, Otranto, Italy, June 17–20, 2025, Proceedings, Part V KW - Medienkunst KW - Erweiterte Realität (Informatik) KW - Klassifikation KW - Taxonomie Y1 - 2025 SN - 9783031977749 U6 - https://doi.org/10.1007/978-3-031-97775-6_10 SN - 0302-9743 VL - Lecture Notes in Computer Science, Bd.15741 SP - 171 EP - 191 PB - Springer Nature Switzerland CY - Cham ER -