@article{65011,
abstract = {{Abstract
Design of single screw machines for polymer processing often focuses on the melt dominated areas of the screw. However, solids conveying is a key aspect for processes with high screw speeds, grooved feed sections, small screw diameters and material with low bulk density. In injection moulding, throughput limitations are highly relevant in packaging applications as due to low cooling times, plasticizing affects the cycle time. In addition, insufficient solids conveying is a primary cause for air residues in the melt and final product. Therefore, well-designed feed sections are required, especially as direct processing of regrind in recycling applications becomes more relevant due to governmental restrictions. Existing models for injection moulding are based on analytical equations and do not allow to assess new feed sections and feed opening designs, adapted to high screw speeds or regrind. In this paper, numerical simulations based on the Discrete Element Method (DEM), previously used in the field of extrusion, are carried out. In order to replicate the cyclic, superimposed rotation and translation of the screw, a coupled approach of DEM and Multibody Systems Simulation (MBS) is pursued. To verify the accuracy of such coupled simulations, a special test setup is added to a conventional injection moulding machine. Pure solids conveying is investigated, as DEM does not accommodate for large plastic deformations or melting. Different screw and intake designs as well as smooth and grooved barrels are investigated. Selected resins, pellet shapes and regrind are processed, varying the processing parameters and comparing the results to the simulation. The coupled approach replicates reality well in terms of throughput, confirming that DEM can be utilised to further investigate process phenomena and develop calculation models for solids conveying in injection moulding.}},
author = {{Landgräber, Jan and Schöppner, Volker and Brüning, Florian}},
issn = {{0930-777X}},
journal = {{International Polymer Processing}},
number = {{1}},
pages = {{1--14}},
publisher = {{Walter de Gruyter GmbH}},
title = {{{Assessing solids conveying in injection moulding machines using coupled numerical simulations based on the discrete element method (DEM) and multibody systems (MBS)}}},
doi = {{10.1515/ipp-2025-0065}},
volume = {{41}},
year = {{2025}},
}
@article{65012,
author = {{Landgräber, Jan and Brüning, Florian}},
issn = {{0921-8831}},
journal = {{Advanced Powder Technology}},
number = {{8}},
publisher = {{Elsevier BV}},
title = {{{Discrete element method in polymer processing – Method for development of material models}}},
doi = {{10.1016/j.apt.2025.104968}},
volume = {{36}},
year = {{2025}},
}
@inbook{57545,
author = {{Flath, Beate and Jacke, Christoph and Schroeter-Wittke, Harald}},
booktitle = {{Transdisziplinäre Räume in den Kulturwissenschaften}},
editor = {{Kornbach, Alina and Lammer, Christina and Magdeburg, Lena}},
isbn = {{978-3-534-64164-2}},
pages = {{211--254}},
title = {{{Den Schein werfen/wahren. Transdiziplinaritäten und Popkulturforschungen. Ein Übersetzungsraum als Partitur }}},
volume = {{3}},
year = {{2025}},
}
@unpublished{65018,
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 in 2018 the European Union rolled out the General Data Protection Regulation (GDPR). Since app developers are not legal experts, they find it difficult to integrate privacy-aware practices into source code development. Despite these legal obligations, developers have limited tool support to reason about data protection throughout their app development process.
This paper explores the use of static program slicing and software visualization to analyze privacy-relevant data flows in Android apps. We introduce SliceViz, a web tool that analyzes an Android app by slicing all privacy-relevant data sources detected in the source code on the back-end. It then helps developers by visualizing these privacy-relevant program slices.
We conducted a user study with 12 participants demonstrating that SliceViz effectively aids developers in identifying privacy-relevant properties in Android apps.
Our findings indicate that program slicing can be employed to identify and reason about privacy-relevant data flows in Android applications. With further usability improvements, developers can be better equipped to handle privacy-sensitive information.}},
author = {{Khedkar, Mugdha and Schlichtig, Michael and Mohan, Santhosh and Bodden, Eric}},
booktitle = {{arXiv:2503.16640}},
title = {{{Visualizing Privacy-Relevant Data Flows in Android Applications}}},
year = {{2025}},
}
@inbook{60991,
author = {{Jacke, Christoph and Schroeter-Wittke, Harald}},
booktitle = {{Popmix, POPkultur und Religion: The Next Generation}},
editor = {{Lerke, Stephanie and Luthe, Simon and Pinsch, Jan Christian and Sengelmann, Julian}},
isbn = {{9783658479893}},
issn = {{2569-880X}},
pages = {{195--201}},
publisher = {{Springer Fachmedien Wiesbaden}},
title = {{{Pop-Ikonen. Kulturwissenschaftliche Zugänge.}}},
doi = {{10.1007/978-3-658-47990-9}},
year = {{2025}},
}
@article{61823,
author = {{Jacke, Christoph}},
journal = {{POP. Kultur & Kritik}},
keywords = {{Stars, Sarah Connor, Rollen, Qualitätsjournalismus, Boulevard, Fans}},
number = {{27}},
pages = {{96--101}},
publisher = {{Transcript}},
title = {{{Die drei Rollen der Star-Figur. Sarah Connors Abrechnung.}}},
year = {{2025}},
}
@article{65028,
abstract = {{Support is a vital resource at every stage of development throughout the lifespan. In the mother-child relationship, the exchange of support is subject to change in relation to the tasks and framework conditions of the current phase of life. While values and norms typically include social expectations, attitudes summarize individual thoughts or feelings. During young adulthood and midlife, attitudes are particularly important for the mutual support between mothers and their adult children when there are no practical framework conditions, such as care needs, that necessitate support. This study uses social exchange theory to examine the mediating role of felt obligation and perceived mutual reciprocity as important attitudes in the well-known relation between mothers and their adult children receiving and giving support. The sample consisted of 598 German adults (aged 20–49, 55.2% female) and 577 mothers (aged 40–87) of these adults; both perspectives were taken into account. The results from the parallel mediation analyses, in which instrumental and emotional support were considered separately, showed a mediating effect of felt obligation on the instrumental support of adult children for their mothers. The emotional support received and given by the adults to their mothers was mediated by felt obligation and perceived mutual reciprocity. The received and given instrumental and emotional support of the mothers to their adult children was mediated by perceived mutual reciprocity. The relevance of the adults' and mothers' different attitudes regarding support later in life is discussed.}},
author = {{Schoenert, Kathrin and Sommer, Sabrina and Buhl, Heike M.}},
issn = {{2813-7779}},
journal = {{Frontiers in Developmental Psychology}},
publisher = {{Frontiers Media SA}},
title = {{{Impact of felt obligation and perceived mutual reciprocity on support between mothers and their adult children}}},
doi = {{10.3389/fdpys.2025.1508469}},
volume = {{3}},
year = {{2025}},
}
@inbook{65032,
abstract = {{Despite its status as a key enabling technology, the adoption of 5G in
industry remains limited, mainly due to a lack of expertise, which can be addressed
by incorporating 5G training into vocational schools. Since Augmented Reality
(AR) faces similar challenges, it is used as the 5G application. This research aims
to determine the extent to which a learning unit using 5G and AR for collaborative
work can increase the intention to use these technologies in the vocational setting
and gathers the factors that make up 5G acceptance. It is based on the Technology Acceptance Model 2 (TAM2). The sample includes 23 industrial mechanics
students who participated in the developed learning unit. All items are scored on
seven-tiered Likert scales (0 “totally disagree”; 6 “totally agree”).
The results showed a non-significant change in behavioural intention to use
5G, with a mean of 4.95 (SD: 1.18) for the pre-test and 4.43 (SD: 1.68) for the posttest. The change in intention to use AR did not change significantly either, from
3.12 (SD: 1.38) at pre-test to 3.37 (SD: 1.16) at post-test. The factors Perceived
Usefulness, Image, and Relevance had the lowest mean scores, indicating areas for
targeted improvement. The significant change in Output Quality ratings is likely to
reflect initial overestimation by students. The difference in Behavioural Intentions
between 5G and AR suggests that AR may not be an effective technology for
increasing 5G adoption in educational contexts. One recommendation is to address
5G in the learning unit not only indirectly.}},
author = {{Schäfers, Johannes and Temmen, Katrin}},
booktitle = {{Proceedings of the 27th International Conference on Interactive Collaborative Learning (ICL2024), Volume 4}},
editor = {{Auer, Michael E. and Rüütmann, Tiia}},
isbn = {{9783031835193}},
issn = {{2367-3370}},
keywords = {{5G, Key Technology, TAM · Augmented Reality, VET}},
location = {{Tallinn}},
pages = {{84 – 91}},
publisher = {{Springer Nature Switzerland}},
title = {{{The Influence of an Immersive-Collaborative Learning Unit on the Technology Acceptance of 5G and AR of Industrial Mechanic Students}}},
doi = {{10.1007/978-3-031-83520-9_8}},
volume = {{1281}},
year = {{2025}},
}
@article{60566,
author = {{Bocchini, Adriana and Rüsing, Michael and Bollmers, Laura and Lengeling, Sebastian and Mues, Philipp and Padberg, Laura and Gerstmann, Uwe and Silberhorn, Christine and Eigner, Christof and Schmidt, Wolf Gero}},
issn = {{2475-9953}},
journal = {{Physical Review Materials}},
number = {{7}},
publisher = {{American Physical Society (APS)}},
title = {{{Mg dopants in lithium niobate: Defect models and impact on domain inversion}}},
doi = {{10.1103/5wz1-bjyr}},
volume = {{9}},
year = {{2025}},
}
@inproceedings{64905,
author = {{Bienvenu, Meghyn and Bourgaux, Camille and Khodadaditaghanaki, Atefe}},
booktitle = {{Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, {IJCAI-25}}},
editor = {{Kwok, James}},
pages = {{4374–4381}},
publisher = {{International Joint Conferences on Artificial Intelligence Organization}},
title = {{{Inconsistency Handling in DatalogMTL}}},
doi = {{10.24963/ijcai.2025/487}},
year = {{2025}},
}
@inproceedings{65034,
author = {{Schäfers, Johannes and Vernholz, Mats and Jonas-Ahrend, Gabriela and Temmen, Katrin}},
location = {{Potsdam}},
title = {{{Vom Prompt zur Praxis – Kooperatives Seminarkonzept zur KI-gestützten Unterrichtsentwicklung in der gewerblich-technischen Lehramtsausbildung}}},
year = {{2025}},
}
@inproceedings{65038,
abstract = {{The rapid advancements in digital transformation have led to the emergence of dataspaces as a pivotal element for industry-wide and cross-industry data integration and interoperability across various businesses. Despite their potential, the adoption and effective utilization of dataspaces by business stakeholders remain challenging. This paper aims to address this gap by developing a comprehensive learning environment tailored for business stakeholders. Through an interview study and an analysis of the current state of research, we identify problem fields and derive key requirements for the development of the learning environment. The proposed environment includes a demonstrator and a training concept designed to enhance stakeholders' understanding and capabilities in managing and leveraging dataspaces. Our findings contribute to the body of knowledge by providing practical guidance through learning environments for the deployment of dataspaces in business contexts and highlighting areas for future research.}},
author = {{Lick, Jonas and Lamarz, Jessica and Dohmann, Friederike and Kulkarni, Pranav Jayant and Zerbin, Julian and Koldewey, Christian}},
booktitle = {{2024 6th International Conference on Control and Robotics (ICCR)}},
location = {{Yokohama, Japan }},
publisher = {{IEEE}},
title = {{{Guidance on Dataspaces: Development of a Learning Environment for Industrial SMEs}}},
doi = {{10.1109/iccr64365.2024.10927580}},
year = {{2025}},
}
@inbook{64984,
author = {{Löhr, Florian and Moritzer, Elmar and Klie, Benjamin and Giese, Ulrich}},
booktitle = {{Technomer 2025 - 29. Fachtagung über Verarbeitung und Anwendung von Polymeren}},
keywords = {{BMC, Duroplast, Kautschuk, Mehrkomponenten, Spritzgießen}},
pages = {{25}},
title = {{{Untersuchung von Kombinationen aus Duroplasten und Elastomeren für den einstufigen 2K-Spritzgießprozess}}},
volume = {{29. Fachtagung über Verarbeitung und Anwendung von Polymeren -Tagungsband, Technische Universität Chemnitz 06. bis 07. November 2025}},
year = {{2025}},
}
@inproceedings{64993,
author = {{Löhr, Florian}},
booktitle = {{AZuR-Kolloquium 2025}},
title = {{{Direkthaftung statt Klebstoff –Verbund von Duroplasten und Kautschuk im 2K-Spritzgießprozess}}},
year = {{2025}},
}
@inbook{64983,
author = {{Löhr, Florian and Moritzer, Elmar and Klie, Benjamin and Giese, Ulrich}},
booktitle = {{International Rubber Conference (IRC) 2025, Bangkok, BITEC; e-abstract book}},
keywords = {{BMC, Duroplast, Kautschuk, Mehrkomponenten, Spritzgießen}},
pages = {{227–228}},
title = {{{Thermoset–Rubber 2K Composite Systems: Material Combinations and Interfacial Reactions in a One-Step Injection Molding Process}}},
year = {{2025}},
}
@article{65007,
author = {{Knaup, Felix and Schöppner, Volker}},
journal = {{International Polymer Processing}},
keywords = {{CFD simulation, melting modeling, melting process, polymer extrusion, single-screw extruder}},
title = {{{Improvement of a numerical two-phase simulation model for single-screw plasticizing extruders based on experimental investigations}}},
doi = {{10.1515/ipp-2025-0072}},
year = {{2025}},
}
@inproceedings{65005,
author = {{Knaup, Felix and Brüning, Florian and Schöppner, Volker}},
booktitle = {{Annual Technical Conference of the Society of Plastics Engineers (ANTEC 2025)}},
keywords = {{Aufschmelzen, Aufschmelzmodellierung, delay zone, extrusion, melting modeling}},
title = {{{Improving an Analytical Model of Melting in Single Screw Extruders considering the Delay Zone Length}}},
year = {{2025}},
}
@inproceedings{65006,
author = {{Knaup, Felix and Brüning, Florian and Schöppner, Volker}},
booktitle = {{Technomer 2025 29. Fachtagung}},
isbn = {{978-3-939382-17-1}},
keywords = {{Aufschmelzen, Aufschmelzmodellierung, Feststoffbett, melting modeling}},
title = {{{Bestimmung der Feststoffbettfestigkeit zur Vorhersage von Feststoffbettbrüchen im Einschneckenextruder}}},
year = {{2025}},
}
@inproceedings{65003,
author = {{Kleinschmidt, Dennis and Schöppner, Volker}},
booktitle = {{RubberCon 2025}},
editor = {{Gummitekniska Förening, Sveriges}},
keywords = {{Kautschuk, Rheologie, Wandgleiten}},
title = {{{Characterization of the wall slip behavior of filled rubber compounds considering the critical wall shear stress}}},
year = {{2025}},
}
@inproceedings{65009,
author = {{Schmidt, Leon and Schöppner, Volker and Brüning, Florian}},
booktitle = {{RubberCon 2025}},
editor = {{Gummitekniska Förening, Sveriges and Swedish, Norwegian and Finnish rubber associations}},
keywords = {{extrusion, Kautschuk, Simulation}},
title = {{{Findings on pinless screw design for rubber extrusion}}},
year = {{2025}},
}