TY - CHAP A1 - Engelmann, Ulrich M. A1 - Shasha, Carolyn A1 - Slabu, Ioana T1 - Magnetic nanoparticle relaxation in biomedical application: focus on simulating nanoparticle heating T2 - Magnetic nanoparticles in human health and medicine Y1 - 2021 SN - 978-1-119-75467-1 SP - 327 EP - 354 PB - Wiley-Blackwell CY - Hoboken, New Jeersey ER - TY - CHAP A1 - Finkenberger, Isabel Maria A1 - Herbert, Saskia A1 - Malorny, Thomas A1 - Koch, Christian T1 - Perforierte Wirklichkeit und mögliche Zukünfte : ein Gespräch T1 - Perforated reality and possible futures : a conversation T2 - Komplement und Verstärker : zum Verhältnis von Stadtplanung, künstlerischen Praktiken und Kulturinstitutionen Y1 - 2019 SN - 978-3-86859-578-9 SP - 108 EP - 129 PB - JOVIS Verlag CY - Berlin ER - TY - CHAP A1 - Finkenberger, Isabel Maria A1 - Baumeister, Eva-Maria A1 - Koch, Christian T1 - Komplement und Verstärker : Wandel durch neue Allianzen T1 - Amplifier and complement : creating change through new alliances T2 - Komplement und Verstärker : zum Verhältnis von Stadtplanung, künstlerischen Praktiken und Kulturinstitutionen Y1 - 2019 SN - 978-3-86859-578-9 SP - 10 EP - 39 PB - JOVIS Verlag CY - Berlin ER - TY - CHAP A1 - Finkenberger, Isabel Maria A1 - Baumeister, Eva-Maria A1 - Koch, Christian T1 - Komplement und Verstärker : der Diskurs geht weiter T1 - Amplifier and complement : the discourse continues T2 - Komplement und Verstärker : zum Verhältnis von Stadtplanung, künstlerischen Praktiken und Kulturinstitutionen Y1 - 2019 SN - 978-3-86859-578-9 SP - 40 EP - 49 PB - JOVIS Verlag CY - Berlin ER - TY - JOUR A1 - Fabo, Sabine ED - Wirth, Jacob T1 - Das Parasitäre in der Pandemie JF - Parasite Art Y1 - 2022 IS - Issue 2 SP - 8 EP - 11 PB - Parasite Art ER - TY - CHAP A1 - Kurz, Melanie T1 - Zur Multikausalität von Designentscheidungen - eine Beispielsammlung T2 - Designentscheidungen: über Begründungen im Entwurfsprozess Y1 - 2021 SN - 978-3-89986-353-6 SP - 22 EP - 43 PB - avedition CY - Stuttgart ER - TY - JOUR A1 - Drumm, Christian A1 - Emhardt, Selina N. A1 - Kok, Ellen M. A1 - Jarodzka, Halzka A1 - Brand-Gruwel, Saskia A1 - van Gog, Tamara T1 - How Experts Adapt Their Gaze Behavior When Modeling a Task to Novices JF - Cognitive science N2 - Domain experts regularly teach novice students how to perform a task. This often requires them to adjust their behavior to the less knowledgeable audience and, hence, to behave in a more didactic manner. Eye movement modeling examples (EMMEs) are a contemporary educational tool for displaying experts’ (natural or didactic) problem-solving behavior as well as their eye movements to learners. While research on expert-novice communication mainly focused on experts’ changes in explicit, verbal communication behavior, it is as yet unclear whether and how exactly experts adjust their nonverbal behavior. This study first investigated whether and how experts change their eye movements and mouse clicks (that are displayed in EMMEs) when they perform a task naturally versus teach a task didactically. Programming experts and novices initially debugged short computer codes in a natural manner. We first characterized experts’ natural problem-solving behavior by contrasting it with that of novices. Then, we explored the changes in experts’ behavior when being subsequently instructed to model their task solution didactically. Experts became more similar to novices on measures associated with experts’ automatized processes (i.e., shorter fixation durations, fewer transitions between code and output per click on the run button when behaving didactically). This adaptation might make it easier for novices to follow or imitate the expert behavior. In contrast, experts became less similar to novices for measures associated with more strategic behavior (i.e., code reading linearity, clicks on run button) when behaving didactically. Y1 - 2020 U6 - https://doi.org/10.1111/cogs.12893 SN - 1551-6709 VL - 44 IS - 9 PB - Wiley CY - Weinheim ER - TY - INPR A1 - Bornheim, Tobias A1 - Grieger, Niklas A1 - Blaneck, Patrick Gustav A1 - Bialonski, Stephan T1 - Preprint: Speaker attribution in German parliamentary debates with QLoRA-adapted large language models T2 - Journal for Language Technology and Computational Linguistics N2 - The growing body of political texts opens up new opportunities for rich insights into political dynamics and ideologies but also increases the workload for manual analysis. Automated speaker attribution, which detects who said what to whom in a speech event and is closely related to semantic role labeling, is an important processing step for computational text analysis. We study the potential of the large language model family Llama 2 to automate speaker attribution in German parliamentary debates from 2017-2021. We fine-tune Llama 2 with QLoRA, an efficient training strategy, and observe our approach to achieve competitive performance in the GermEval 2023 Shared Task On Speaker Attribution in German News Articles and Parliamentary Debates. Our results shed light on the capabilities of large language models in automating speaker attribution, revealing a promising avenue for computational analysis of political discourse and the development of semantic role labeling systems. Y1 - 2023 U6 - https://doi.org/10.48550/arXiv.2309.09902 N1 - Veröffentlichte Version verfügbar unter: https://doi.org/10.21248/jlcl.37.2024.244 ER - TY - RPRT A1 - Fischedick, Manfred A1 - Schoof, René A1 - Hebel, Christoph A1 - Merkens, Torsten T1 - Sektorenkopplung als Herausforderung und Chance für das Energieland NRW : Handlungsoptionen und Ergebnispapier der Expertengruppe AG 4 „Sektoren- kopplung“ im Netzwerk Netze und Speicher der EnergieAgentur.NRW im Auftrag des Landes Nordrhein-Westfalen / EnergieAgentur.NRW GmbH Y1 - 2018 ER - TY - CHAP A1 - Bornheim, Tobias A1 - Grieger, Niklas A1 - Bialonski, Stephan T1 - FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning T2 - Proceedings of the GermEval 2021 Workshop on the Identification of Toxic, Engaging, and Fact-Claiming Comments : 17th Conference on Natural Language Processing KONVENS 2021 Y1 - 2021 U6 - https://doi.org/10.48415/2021/fhw5-x128 N1 - KONVENS (Konferenz zur Verarbeitung natürlicher Sprache/Conference on Natural Language Processing) 2021, 6. - 9. September 2021, Düsseldorf SP - 105 EP - 111 PB - Heinrich Heine University CY - Düsseldorf ER -