@inproceedings{55638,
  abstract     = {{<jats:p>Abstract. Traditionally, joints are cylindrical and rotationally symmetric. In the present study, non-rotationally symmetric joints are used for joining steel and Glass mat-reinforced thermoplastic sheets (GMT). In addition, the study also analyzes the impact of non-rotational symmetric joint rotation on the load-bearing capacity. Single lap joint specimens were fabricated using the In-Mold assembly technique for joining steel sheets with GMT. Tensile shear tests were performed on different orientations of the joint geometry, and it was observed that changing the joint orientation influences the load-bearing capacity. The joints are constitutively modeled using beam elements and the influence of joint rotation on load distribution is examined through a static simulation study. </jats:p>}},
  author       = {{Devulapally, Deekshith Reddy and Martin, Sven and Tröster, Thomas}},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Non-rotationally symmetric joints – Mechanisms and load bearing capacity}}},
  doi          = {{10.21741/9781644903131-183}},
  year         = {{2024}},
}

@inproceedings{64663,
  author       = {{Reckmann, Eileen and Blomberg, Tobias and Temmen, Katrin}},
  title        = {{{Schülerlabor ohne Schüler*innen und Labor – geht das? Neue Wege für das Schülerlabor}}},
  year         = {{2024}},
}

@inproceedings{58181,
  author       = {{Sloane, Hannah Sabrina and Jenert, Tobias}},
  location     = {{Utrecht, The Netherlands}},
  title        = {{{Disciplinarity as a Challenge for Innovation: Experiences from a Teaching Innovation Project}}},
  year         = {{2024}},
}

@inproceedings{52235,
  abstract     = {{Android applications collecting data from users must protect it according to the current legal frameworks. Such data protection has become even more important since the European Union rolled out the General Data Protection Regulation (GDPR). Since app developers are not legal experts, they find it difficult to write privacy-aware source code. Moreover, they have limited tool support to reason about data protection throughout their app development process.
This paper motivates the need for a static analysis approach to diagnose and explain data protection in Android apps. The analysis will recognize personal data sources in the source code, and aims to further examine the data flow originating from these sources. App developers can then address key questions about data manipulation, derived data, and the presence of technical measures. Despite challenges, we explore to what extent one can realize this analysis through static taint analysis, a common method for identifying security vulnerabilities. This is a first step towards designing a tool-based approach that aids app developers and assessors in ensuring data protection in Android apps, based on automated static program analysis. }},
  author       = {{Khedkar, Mugdha and Bodden, Eric}},
  booktitle    = {{Proceedings of the IEEE/ACM 11th International Conference on Mobile Software Engineering and Systems (MOBILESoft '24). Association for Computing Machinery, New York, NY, USA, 65–68.}},
  keywords     = {{static program analysis, data protection and privacy, GDPR compliance}},
  location     = {{Lisbon, Portugal}},
  title        = {{{Toward an Android Static Analysis Approach for Data Protection}}},
  doi          = {{10.1145/3647632.3651389}},
  year         = {{2024}},
}

@article{53856,
  abstract     = {{This  research  article examines  the  transformation  of  pop-punk  from  bands  to  solo  artists and  how  the  genre  regained  popularity  due  to  new  popular  personalities  and  the  transmedia engagement  in  social  media  and  with  established  media.  Through  a  three-pronged  approach,  this studyadopts phenomenological, theoretical, and empirical perspectives to understand the transition and regained popularity fully. The phenomenological angle delves into the case studies of musicians, revealing  key  factors  behind  the  shift   to  solo  artists  in  pop-punk.  Theoretical  explanations contextualize  the  phenomenon  within  broader  cultural  frameworks,  considering  industry  and transmedia dynamics, audience preferences, and technological advancements. Empirical evidence, including  statistical  data  from  socialmedia  profiles,  quantifies  the  impact  of  the  shift.This  study contributes   to   a   comprehensive   understanding   of   pop-punk's   transformation,   offering   an exploration of its past, present, and future within the ever-evolving music industries and transmedia landscapes}},
  author       = {{Ruth, Nicolas and Jacke, Christoph}},
  issn         = {{ISSN 2205-5258}},
  journal      = {{Persona Studies}},
  keywords     = {{Pop-punk, Popular Musical Personas, Solo Artists, SocialMedia, Transmedia, TikTok}},
  number       = {{1}},
  pages        = {{99--110}},
  publisher    = {{OJS/PKP}},
  title        = {{{“I Guess this is Growing Up” Analysis of Pop-Punk’s Regained Popularity and Its Shift From Bands to Personas.}}},
  volume       = {{10}},
  year         = {{2024}},
}

@article{53854,
  abstract     = {{The phenomenon of stars and celebrities in media cultures – and especially in popular music
cultures – seems to be omnipresent. At the same time, there is an astounding lack of analysis and
research on these media personalities and personas, and international celebrity studies only recently
a developing new field. Similarly, these kinds of observations are still very rare especially in German
sociology as well as communication, media, culture and popular music studies. In this article, I
therefore want to concentrate on the foundations of studying stars and celebrities within the
attention economies by undertaking a theoretical transmedia-cultural framing of media personas
and suggesting a typology. This ensuing typology of stars, anti-stars, and anti-star stars – especially
within popular music cultures – demonstrates how stars and celebrities and their quantities and
qualities of success and peer-group specific values coming form programs of (media and music)
culture can serve as persona-seismographs of socio-cultural change between tradition and
innovation}},
  author       = {{Jacke, Christoph}},
  issn         = {{ISSN 2205-5258}},
  journal      = {{Persona Studies}},
  keywords     = {{Stars, Celebrities, Popular Music, Transmedia Culture, Personas}},
  number       = {{1}},
  pages        = {{56--73}},
  publisher    = {{OJS/PKP}},
  title        = {{{Stars, Anti-Stars, Anti-Star-Stars. Transmedia Texts and Contexts of Popular Music and Media. Some Theoretical Assumptions.}}},
  volume       = {{10}},
  year         = {{2024}},
}

@misc{55147,
  author       = {{Jacke, Christoph}},
  booktitle    = {{Medien & Zeit. Kommunikation in Vergangenheit und Gegenwart.}},
  keywords     = {{Retromania Futuromania Popmusik Erinnerung Geschichte Transnationalität Elektronische Musik}},
  number       = {{1}},
  pages        = {{48--53}},
  publisher    = {{Arbeistkreis für historische Kommunikationsforschung}},
  title        = {{{Bodo Mrozek (2019/2021/2023): Jugend Pop Kultur. Eine transnationale Geschichte. Suhrkamp; Simon Reynolds (2023): Futuromania. Elektronische Träume von der Zukunft. Ventil.}}},
  volume       = {{39}},
  year         = {{2024}},
}

@article{56838,
  author       = {{Flath, Beate and Jacke, Christoph}},
  issn         = {{07224591}},
  journal      = {{Kulturpolitische Mitteilungen}},
  keywords     = {{Festivals, Popmusik, Kultur, Forschung, Livemusik}},
  number       = {{3}},
  pages        = {{60--61}},
  publisher    = {{Kulturpolitische Gesellschaft Berlin}},
  title        = {{{Feste feiern - aber nachhaltig! Transdisziplinäre Festival Studies in aktuellen kultur- und gesellschaftspolitischen Kontexten.}}},
  volume       = {{186}},
  year         = {{2024}},
}

@misc{55196,
  author       = {{Jacke, Christoph}},
  booktitle    = {{Musiktheorie. Zeitschrift für Musikwissenschaft.}},
  issn         = {{0177-4182}},
  keywords     = {{Popmusik, Gender, Schlager, Frauen, Image, Deutschland}},
  number       = {{2}},
  pages        = {{181--185}},
  publisher    = {{Laaber}},
  title        = {{{Marina Forell (2023): Atemlos zum Erfolg. Gender, Frauenbild und Entwicklungstendenzen im deutschen Schlager.}}},
  volume       = {{39}},
  year         = {{2024}},
}

@inproceedings{55660,
  author       = {{Jacke, Christoph}},
  keywords     = {{Popmusic, culture, politics, Förderung, Forschung}},
  location     = {{Cologne}},
  title        = {{{"Heute Disco, morgen Umsturz, übermorgen Landpartie" - Kurze Anmerkungen zu Pop-Gipfeln.}}},
  year         = {{2024}},
}

@inbook{55717,
  author       = {{Jacke, Christoph and Kirschlager, Nils}},
  booktitle    = {{Literaturpop. Zur pop- und rockmusikalischen Rezeption literarischer Texte.}},
  editor       = {{Eggers, Michael}},
  isbn         = {{9783968219493}},
  pages        = {{197--226}},
  publisher    = {{Rombach Wissenschaft/Nomos}},
  title        = {{{Anti-Künste, Künste und das ganze Dazwischen: Nick Cave als prominente Figur der Popmusikkulturen}}},
  year         = {{2024}},
}

@inbook{55197,
  author       = {{Jacke, Christoph}},
  booktitle    = {{Hits & Storys. 20 Jahre rock'n'popmuseum.}},
  isbn         = {{978-3-96664-811-0}},
  keywords     = {{Zukunft, Popmusik, Medien, Technik, Genre, Wandel, Kulturen, Museum, Geschichte, Popular Music Studies}},
  pages        = {{294--295}},
  publisher    = {{Heel}},
  title        = {{{Zukunftspop - Popzukunft. Kurze Anmerkungen zu Konstanten der Popmusikkulturen.}}},
  year         = {{2024}},
}

@article{64858,
  abstract     = {{<jats:p>Simulation models are used to design extruders in the polymer processing industry. This eliminates the need for prototypes and reduces development time for extruders and, in particular, extrusion screws. These programs simulate, among other process parameters, the temperature and pressure curves in the extruder. At present, it is not possible to predict the resulting melt quality from these results. This paper presents a simulation model for predicting the melt quality in the extrusion process. Previous work has shown correlations between material and thermal homogeneity and the screw performance index. As a result, the screw performance index can be used as a target value for the model to be developed. The results of the simulations were used as input variables, and with the help of artificial intelligence—more precisely, machine learning—a linear regression model was built. Finally, the correlation between the process parameters and the melt quality was determined, and the quality of the model was evaluated.</jats:p>}},
  author       = {{Trienens, Dorte and Schöppner, Volker and Krause, Peter and Bäck, Thomas and Tsi-Nda Lontsi, Seraphin and Budde, Finn}},
  issn         = {{2073-4360}},
  journal      = {{Polymers}},
  number       = {{9}},
  publisher    = {{MDPI AG}},
  title        = {{{Method Development for the Prediction of Melt Quality in the Extrusion Process}}},
  doi          = {{10.3390/polym16091197}},
  volume       = {{16}},
  year         = {{2024}},
}

@inproceedings{55917,
  abstract     = {{This work takes steps towards situating the concepts relevant to explanation and understanding in explanatory interactions within the scope of Basic Formal Ontology. We introduce novel ontological accounts of understanding and explanation in BFO-terms, which foster a shared conceptualization of explanations and explainee's understanding during explainer-explainee interactions. This approach also enables the tracking of different aspects of understanding and explanation through cognitive profiling of various measurable aspects under the heading of process profile in BFO. Additionally, we differentiate between the private mental process of understanding and understanding displays. Finally, we characterize the relationship between understanding displays and explanations.}},
  author       = {{Booshehri, Meisam and Buschmeier, Hendrik and Cimiano, Philipp}},
  booktitle    = {{Proceedings of the 4th International Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI)}},
  issn         = {{1613-0073}},
  location     = {{Santiago de Compostela, Spain}},
  publisher    = {{International Association for Ontology and its Applications}},
  title        = {{{Towards a BFO-based ontology of understanding in explanatory interactions}}},
  year         = {{2024}},
}

@inproceedings{61177,
  abstract     = {{Human and model-generated texts can be distinguished by examining the magnitude of likelihood in language. However, it is becoming increasingly difficult as language model's capabilities of generating human-like texts keep evolving. This study provides a new perspective by using the relative likelihood values instead of absolute ones, and extracting useful features from the spectrum-view of likelihood for the human-model text detection task. We propose a detection procedure with two classification methods, supervised and heuristic-based, respectively, which results in competitive performances with previous zero-shot detection methods and a new state-of-the-art on short-text detection. Our method can also reveal subtle differences between human and model languages, which find theoretical roots in psycholinguistics studies.}},
  author       = {{Xu, Yang and Wang, Yu and An, Hao and Liu, Zhichen and Li, Yongyuan}},
  booktitle    = {{Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing}},
  location     = {{Miami, FL, USA}},
  pages        = {{10108–10121}},
  publisher    = {{ACL}},
  title        = {{{Detecting subtle differences between human and model languages using spectrum of relative likelihood}}},
  doi          = {{10.18653/v1/2024.emnlp-main.564}},
  year         = {{2024}},
}

@inproceedings{56985,
  author       = {{Buschmeier, Hendrik and Kopp, Stefan and Hassan, Teena}},
  booktitle    = {{Proceedings of the 26th ACM International Conference on Multimodal Interaction}},
  location     = {{San José, Costa Rica}},
  pages        = {{698--699}},
  publisher    = {{ACM}},
  title        = {{{Multimodal Co-Construction of Explanations with XAI Workshop}}},
  doi          = {{10.1145/3678957.3689205}},
  year         = {{2024}},
}

@inproceedings{55916,
  abstract     = {{To produce explanations that are more likely to be accepted by humans, Explainable Artificial Intelligence (XAI) systems need to incorporate explanation models grounded in human communication patterns. So far, little is known about how an explainee, who lacks understanding of an issue, and an explainer, who has knowledge to fill the explainee's knowledge gap, actively shape an explanation process, and how their involvement relates to explanatory success in terms of maximizing the explainee's level of understanding. In this paper, we characterize explanations as dialogues in which explainee and explainer take turns to advance the explanation process. We build on an existing annotation scheme of ‘explanatory moves’ to characterize such turns, and manually annotate 362 dialogical explanations from the “Explain Like I'm Five” subreddit. Building on the annotated data, we compute correlations between explanatory moves and explanatory success, measured on a five-point Likert scale, in order to identify factors that are significantly correlated with explanatory success. Based on a qualitative analysis of these factors, we develop a conceptual model of the main factors that contribute to the success of explanatory dialogues.}},
  author       = {{Booshehri, Meisam and Buschmeier, Hendrik and Cimiano, Philipp}},
  booktitle    = {{Proceedings of the 26th ACM International Conference on Multimodal Interaction}},
  location     = {{San José, Costa Rica}},
  pages        = {{373--381}},
  publisher    = {{ACM}},
  title        = {{{A model of factors contributing to the success of dialogical explanations}}},
  doi          = {{10.1145/3678957.3685744}},
  year         = {{2024}},
}

@inproceedings{55995,
  abstract     = {{Scripted dialogues such as movie and TV subtitles constitute a widespread source of training data for conversational NLP models. However, there are notable linguistic differences between these dialogues and spontaneous interactions, especially regarding the occurrence of communicative feedback such as backchannels, acknowledgments, or clarification requests. This paper presents a quantitative analysis of such feedback phenomena in both subtitles and spontaneous conversations. Based on conversational data spanning eight languages and multiple genres, we extract lexical statistics, classifications from a dialogue act tagger, expert annotations and labels derived from a fine-tuned Large Language Model (LLM). Our main empirical findings are that (1) communicative feedback is markedly less frequent in subtitles than in spontaneous dialogues and (2) subtitles contain a higher proportion of negative feedback. We also show that dialogues generated by standard LLMs lie much closer to scripted dialogues than spontaneous interactions in terms of communicative feedback.}},
  author       = {{Pilán, Ildikó and Prévot, Laurent and Buschmeier, Hendrik and Lison, Pierre}},
  booktitle    = {{Proceedings of the 25th Meeting of the Special Interest Group on Discourse and Dialogue}},
  location     = {{Kyoto, Japan}},
  pages        = {{440–457}},
  title        = {{{Conversational feedback in scripted versus spontaneous dialogues: A comparative analysis}}},
  doi          = {{10.18653/v1/2024.sigdial-1.38}},
  year         = {{2024}},
}

@inproceedings{55913,
  abstract     = {{We examined the turn-taking dynamics across different phases of explanatory dialogues, in which 21 different explainers explained a board game to 2–3 explainees each. Turn-taking dynamics are investigated focusing on >19K floor transitions, i.e., the detailed patterns characterizing turn keeping or turn yielding events (Gilmartin et al., 2020). The explanations were characterized by three different phases (board game absent, board game present, interactive game play), for which we observed differences in turn-taking dynamics: explanations where the board game is absent are characterized by less complex floor transitions, while explanations with a concretely shared reference space are characterized by more complex floor transitions, as well as more floor transitions between interlocutors. Also, the speakers’ dialogue role (explainer vs. explainee) appears to have a strong impact on turn-taking dynamics, as floor transitions that do not conform with the dialogue role tend to involve more effort, or floor management work.}},
  author       = {{Wagner, Petra and Włodarczak, Marcin and Buschmeier, Hendrik and Türk, Olcay and Gilmartin, Emer}},
  booktitle    = {{Proceedings of the 28th Workshop on the Semantics and Pragmatics of Dialogue}},
  issn         = {{2308-2275}},
  location     = {{Trento, Italy}},
  pages        = {{6--14}},
  title        = {{{Turn-taking dynamics across different phases of explanatory dialogues}}},
  year         = {{2024}},
}

@inbook{61210,
  abstract     = {{Knowledge graphs (KGs) differ significantly over multiple different versions of the same data source. They also often contain blank nodes that do not have a constant identifier over all versions. Linking such blank nodes from different versions is a challenging task. Previous works propose different approaches to create signatures for all blank nodes based on named nodes in their neighborhood to match blank nodes with similar signatures. However, these works struggle to find a good mapping when the difference between the KGs’ versions grows too large. In this work, we propose Blink, an embedding-based approach for blank node linking. Blink merges two KGs’ versions and embeds the merged graph into a latent vector space based on translational embeddings and subsequently matches the closest pairs of blank nodes from different graphs. We evaluate our approach using real-world datasets against state-of-the-art approaches by computing the blank node matching for isomorphic graphs and graphs that contain triple changes (i.e., added or removed triples). The results indicate that Blink achieves perfect accuracy for isomorphic graphs. For graph versions that contain changes, such as having up to 20% of triples removed in one version, Blink still produces a mapping with an Optimal Mapping Deviation Ratio of under 1%. These results show that Blink leads to a better linking of KGs over different versions and similar graphs adhering to the linked data guidelines.}},
  author       = {{Becker, Alexander and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783031778438}},
  issn         = {{0302-9743}},
  location     = {{Baltimore, USA}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Blink: Blank Node Matching Using Embeddings}}},
  doi          = {{10.1007/978-3-031-77844-5_12}},
  year         = {{2024}},
}