@inproceedings{62078,
  abstract     = {{Fiber reinforced plastics (FRP) exhibit strongly non-linear deformation behavior. To capture this in simulations, intricate models with a variety of parameters are typically used. The identification of values for such parameters is highly challenging and requires in depth understanding of the model itself. Machine learning (ML) is a promising approach for alleviating this challenge by directly predicting parameters based on experimental results. So far, this works mostly for purely artificial data. In this work, two approaches to generalize to experimental data are investigated: a sequential approach, leveraging understanding of the constitutive model and a direct, purely data driven approach. This is exemplary carried out for a highly non-linear strain rate dependent constitutive model for the shear behavior of FRP.The sequential model is found to work better on both artificial and experimental data. It is capable of extracting well suited parameters from the artificial data under realistic conditions. For the experimental data, the model performance depends on the composition of the experimental curves, varying between excellently suiting and reasonable predictions. Taking the expert knowledge into account for ML-model training led to far better results than the purely data driven approach. Robustifying the model predictions on experimental data promises further improvement. }},
  author       = {{Gerritzen, Johannes and Hornig, Andreas and Winkler, Peter and Gude, Maik}},
  booktitle    = {{ECCM21 - Proceedings of the 21st European Conference on Composite Materials}},
  isbn         = {{978-2-912985-01-9}},
  keywords     = {{Direct parameter identification, Machine learning, Convolutional neural networks, Strain rate dependency, Fiber reinforced plastics, woven composites, segmentation, synthetic training data, x-ray computed tomography}},
  pages        = {{1252–1259}},
  publisher    = {{European Society for Composite Materials (ESCM)}},
  title        = {{{Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning}}},
  doi          = {{10.60691/yj56-np80}},
  volume       = {{3}},
  year         = {{2024}},
}

@article{62076,
  author       = {{Gerritzen, Johannes and Hornig, Andreas and Winkler, Peter and Gude, Maik}},
  issn         = {{0927-0256}},
  journal      = {{Computational Materials Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{A methodology for direct parameter identification for experimental results using machine learning — Real world application to the highly non-linear deformation behavior of FRP}}},
  doi          = {{10.1016/j.commatsci.2024.113274}},
  volume       = {{244}},
  year         = {{2024}},
}

@article{51116,
  abstract     = {{Self-piercing riveting is an established joining technique for lightweight materials. To increase the sustainability of the rivet manufacturing process, the authors of the present paper have developed an approach for shortening the process chain by omitting the heat treatment and rivet coating. To do this, use is made of high nitrogen steel as the rivet material. Successful joining with these rivets has already been proven, and it has also been shown that a competitive joint strength can be achieved with these rivets. Up until now, no studies have been conducted of the corrosion behaviour of uncoated rivets in high nitrogen steel compared to conventional rivets made of heat-treatable steel with a coating of Almac® or zinc-nickel with topcoat, and the corrosion behaviour of joints manufactured with these rivets has also not been investigated. Furthermore, the suitability of rivets in high nitrogen steel for structures undergoing cathodic dip painting has not been evaluated to date. These are therefore the aims of the research work presented in this paper. Corrosion behaviour is tested by exposing rivets and joints to a salt spray atmosphere. Cross-cut tests are conducted in order to classify the adhesion of cathodic dip paint to the different rivet surfaces and materials. The results of the experimental test show that the cathodic dip paint has sufficient adhesion to the uncoated rivets in high nitrogen steel and that these rivets can therefore be used in the manufacture of car bodies. Due to the stainless properties of the high nitrogen steel, better corrosion resistance is seen by comparison to the commonly used coatings of Almac® and zinc-nickel with topcoat. A study of the corrosion behaviour of the joints shows that the rivet head diameter and rivet head position, in particular, are decisive for preventing crevice corrosion under the rivet head and contact corrosion within the joint. }},
  author       = {{Uhe, Benedikt and Kuball, Clara-Maria and Merklein, Marion and Meschut, Gerson}},
  journal      = {{Production Engineering}},
  title        = {{{Corrosion behaviour of self-piercing riveted joints with uncoated rivets in high nitrogen steel}}},
  doi          = {{10.1007/s11740-024-01262-6}},
  year         = {{2024}},
}

@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{61756,
  author       = {{Scheidemann, Claus and Hemsel, Tobias and Sextro, Walter}},
  location     = {{Hannover, Germany}},
  title        = {{{Characteristic behavior of lead-free and lead-containing piezo ring ceramics in ultrasonic transducers}}},
  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{54247,
  author       = {{Berndt, Axel and Mauro, Dario A.}},
  booktitle    = {{Proceedings of the Sound and Music Computing Conference (SMC) 2024}},
  publisher    = {{Sound and Music Computing Network / Universidade do Porto}},
  title        = {{{Arpeggiatorum: An audio controllable MIDI arpeggiator}}},
  year         = {{2024}},
}

@misc{57094,
  author       = {{Kruse, Stephan and Scheytt, J. Christoph}},
  title        = {{{Elektrooptische PLL}}},
  year         = {{2024}},
}

@inbook{57129,
  author       = {{Jagdschian, Larissa Carolin}},
  booktitle    = {{Jella Lepman. Journalistin, Autorin, Gründerin der Internationalen Jugendbibliothek. Eine Wiederentdeckung}},
  editor       = {{von Bassermannn-Jordan, Gabriele  and Fromm, Waldemar and Haug, Christine and Raabe , Christiana}},
  pages        = {{119 – 134 }},
  title        = {{{Internationale Solidaritätsgemeinschaften als Handlungsmodelle in der Exil-Kinder- und Jugendli-teratur am Beispiel von Jella Lepmans „Das Geheimnis vom Kuckuckshof“ (1942)}}},
  year         = {{2024}},
}

