@inproceedings{61154,
  author       = {{Türk, Olcay and Lazarov, Stefan Teodorov and Buschmeier, Hendrik and Wagner, Petra and Grimminger, Angela}},
  booktitle    = {{LingCologne 2025 – Book of Abstracts}},
  location     = {{Cologne, Germany}},
  pages        = {{36}},
  title        = {{{Acoustic detection of false positive backchannels of understanding in explanations}}},
  year         = {{2025}},
}

@article{60949,
  author       = {{Giese, Henning and Holtmann, Svea and Koch, Reinald and Langenmayr, Dominika}},
  journal      = {{ifo Schnelldienst}},
  number       = {{8}},
  pages        = {{34--40}},
  title        = {{{Steuerliches Investitionssofortprogramm: Ausreichender Schritt zur Stärkung des Wirtschaftsstandorts Deutschland?}}},
  volume       = {{78}},
  year         = {{2025}},
}

@article{61123,
  abstract     = {{<jats:p>Knowledge graphs are used by a growing number of applications to represent structured data. Hence, evaluating the veracity of assertions in knowledge graphs—dubbed fact checking—is currently a challenge of growing importance. However, manual fact checking is commonly impractical due to the sheer size of knowledge graphs. This paper is a systematic survey of recent works on automatic fact checking with a focus on knowledge graphs. We present recent fact-checking approaches, the varied sources they use as background knowledge, and the features they rely upon. Finally, we draw conclusions pertaining to possible future research directions in fact checking knowledge graphs.</jats:p>}},
  author       = {{Qudus, Umair and Röder, Michael and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}},
  issn         = {{0360-0300}},
  journal      = {{ACM Computing Surveys}},
  keywords     = {{fact checking, knowledge graphs, fact-checkers, check worthiness, evidence retrieval, trust, veracity.}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Fact Checking Knowledge Graphs -- A Survey}}},
  doi          = {{10.1145/3749838}},
  volume       = {{58}},
  year         = {{2025}},
}

@article{65011,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>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.</jats:p>}},
  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}},
}

@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}},
}

@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{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}},
}

@article{65000,
  author       = {{Hanselle, Felix Paul and Schöppner, Volker and Brüning, Florian}},
  journal      = {{International Polymer Processing}},
  keywords     = {{Druckabhängigkeit, Rheologie, Simulation, Spritzgießen, Viskosität}},
  title        = {{{Consideration of modeled pressure dependent viscosity data in injection molding simulation}}},
  doi          = {{10.1515/ipp-2025-0074}},
  year         = {{2025}},
}

@article{65002,
  author       = {{Kleinschmidt, Dennis and Brüning, Florian}},
  journal      = {{KGK Kautschuk Gummi Kunststoffe}},
  keywords     = {{Rheologie, Viskosität, Wandgleiten}},
  title        = {{{Influence of pre-shearing on the rheological properties of filled rubber compounds}}},
  year         = {{2025}},
}

@article{65049,
  abstract     = {{<jats:p>The degradation of polypropylene (PP) through thermal and mechanical stress, as well as the influence of oxygen, are unavoidable when processing on a co-rotating twin-screw extruder. In previous studies, a mathematical model was developed to predict the degradation while compounding on different twin-screw extruder sizes. Additionally, the examination of filled PPs was conducted. To this end, a range of operating parameters and extruder sizes were used to process PP, and the molar mass was then determined by melt flow rate (MFR) and gel permeation chromatography (GPC) measurements to derive the degree of degradation. The model was then modified by adjusting the sensitivity parameters to allow the degradation behavior of the PPs to be described independently of extruder size. Consistent with prior research, comprehensive measurements of a PP/titanium dioxide (TiO2) compound revealed that, with a few exceptions, increasing temperatures and screw speeds and decreasing throughputs generally resulted in higher degradation. However, the application of the model to the compounds did not achieve good agreement with the measured degradation, indicating different degradation conditions due to the different thermodynamic and rheological properties of the compounds.</jats:p>}},
  author       = {{Albrecht, Paul and Altepeter, Matthias and Brüning, Florian}},
  issn         = {{2073-4360}},
  journal      = {{Polymers}},
  number       = {{11}},
  publisher    = {{MDPI AG}},
  title        = {{{Degradation of Polypropylene and Polypropylene Compounds on Co-Rotating Twin-Screw Extruders}}},
  doi          = {{10.3390/polym17111509}},
  volume       = {{17}},
  year         = {{2025}},
}

@inproceedings{63462,
  author       = {{Moritzer, Elmar and Bartmann, Finn and Riedl, Alexander}},
  booktitle    = {{Proceedings of the ASME 2025 Pressure Vessels & Piping Conference PVP2025}},
  location     = {{Montreal, Quebec, Canada}},
  title        = {{{NUMERICAL AND EXPERIMENTAL CONSIDERATIONS OF THE CREEP OF THERMOPLASTIC FLANGE SYSTEMS FOR THE DEVELOPMENT OF AN ANALYTICAL CALCULATION METHOD}}},
  year         = {{2025}},
}

@article{64772,
  abstract     = {{<jats:p>Der Beitrag präsentiert Ergebnisse eines Lehr- und Forschungsprojekts, das den studentischen Umgang mit Literatur untersucht. Konkret wurden Studierende gebeten, sich einen disziplinspezifischen Text mithilfe generativer KI zu erschließen. Gefasst als Lehr-Lernpraktik, eröffnet die Analyse der Literaturarbeit Einblicke in hochschulische Praktiken und deren Transformation. Der Zugang erweist sich als erkenntnisreich, da er einerseits die zunehmende KI-Nutzung berücksichtigt, andererseits – aufgrund der dialogischen Funktionsweise generativer KI – Einblicke in die studentische Literaturarbeit ermöglicht. Zur Untersuchung der Praktiken und deren Sinngehalt wurden Chatprotokolle in Anlehnung an konversationsanalytische Verfahren ausgewertet, um studentische Handlungsmuster zu rekonstruieren. (DIPF/Orig.)</jats:p>}},
  author       = {{Kückmann, Marie-Ann and Schmid, Leonie}},
  isbn         = {{9783781527263}},
  journal      = {{Journal für Allgemeine Didaktik JfAD Jg.13/2025 Allgemeine Didaktik und Künstliche Intelligenu (KI)}},
  publisher    = {{Verlag Julius Klinkhardt}},
  title        = {{{Zum Umgang mit "Wahr-Scheinlichkeiten". Lehr- und Forschungsprojekt zur KI-gestützten Literaturarbeit}}},
  doi          = {{10.35468/jfad-13-2025-03}},
  year         = {{2025}},
}

@inproceedings{62877,
  author       = {{Sänger, Niklas and Schmid, Leonie and Jenert, Tobias and Kremer, H.-Hugo and Kückmann, Marie-Ann}},
  location     = {{Darmstadt}},
  title        = {{{Evaluation von Entwicklungsarbeiten zur modulübergreifenden Professionalisierung von Lehrkräften an Berufskollegs im Kontext der digitalen Transformation}}},
  year         = {{2025}},
}

@article{63470,
  author       = {{Wiredu, Laura}},
  journal      = {{Junior Management Science}},
  number       = {{4}},
  pages        = {{985--1008}},
  title        = {{{Who Bears the Costs of the UK Soft Drink Tax? An Empirical Study of Medium-Term Effects}}},
  doi          = {{10.582/jums/v10i4pp985-1008}},
  volume       = {{10}},
  year         = {{2025}},
}

@article{61107,
  abstract     = {{<jats:p>As global industries seek to reduce energy consumption and lower CO2 emissions, the need for sustainable, efficient maintenance processes in manufacturing has become increasingly important. Traditional mold cleaning methods often require complete tool disassembly, extended downtime, and heavy use of solvents, resulting in high energy costs and environmental impact. This study presents a novel localized ultrasonic cleaning process for injection molding tools that enables targeted, in situ cleaning of mold cavities without removing the tool from the press. A precisely positioned ultrasonic transducer delivers cleaning energy directly to contaminated areas, eliminating the need for complete mold removal. Multiple cleaning agents, including alkaline and organic acid solutions, were evaluated for their effectiveness in combination with ultrasonic excitation. Surface roughness measurements were used to assess cleaning performance over repeated contamination and cleaning cycles. Although initial tests were performed manually in the lab, results indicate that the method can be scaled up and automated effectively. This process offers a promising path toward energy-efficient, low-emission tool maintenance across a wide range of injection molding applications.</jats:p>}},
  author       = {{Chalicheemalapalli Jayasankar, Deviprasad and Tröster, Thomas and Marten, Thorsten}},
  issn         = {{2227-7080}},
  journal      = {{Technologies}},
  number       = {{8}},
  publisher    = {{MDPI AG}},
  title        = {{{Localized Ultrasonic Cleaning for Injection Mold Cavities: A Scalable In Situ Process with Surface Quality Monitoring}}},
  doi          = {{10.3390/technologies13080354}},
  volume       = {{13}},
  year         = {{2025}},
}

@article{58451,
  abstract     = {{Over the past decades, the importance of lightweight structures in the aircraft and automotive industries has steadily increased due to regulations aimed at reducing global warming. Work hardened steel alloys are commonly used for lightweight applications, but they face stability issues when the material thickness reaches certain thresholds. Fiber Reinforced Plastics (FRP) offer a viable alternative due to their high strength-to-weight ratio, but they are often expensive due to long production cycles and high material costs. A feasible solution lies in hybrid lightweight designs that utilize expensive FRP materials only in highly stressed areas, achieving a balance between low mass and acceptable cost. These hybrid structures are lighter than metal components and more cost-effective compared to fully FRP structures, without compromising mechanical properties. This study focuses on producing rotationally symmetrical hybrid structures using Resin Transfer Molding (RTM) combined with vacuum assistance in a single-stage process. The research examines the effects of injection pressure, mold temperature, and the interface between metal and FRP. The mechanical characterization of these hybrid structures was conducted to assess their performance under torsion, compression, and interlaminar shear strength (ILSS) loading conditions. The results indicate that hybrid designs can offer a lightweight alternative without compromising mechanical properties.}},
  author       = {{Chalicheemalapalli Jayasankar, Deviprasad and Tröster, Thomas and Ellouz, Manel and Kordisch, Thomas}},
  issn         = {{0021-9983}},
  journal      = {{Journal of Composite Materials}},
  publisher    = {{SAGE Publications}},
  title        = {{{Intrinsic production of metal-carbon fiber reinforced plastic hybrid shafts using vacuum-assisted resin transfer molding}}},
  doi          = {{10.1177/00219983251313981}},
  year         = {{2025}},
}

@article{60210,
  abstract     = {{<jats:p>Currently, the need for resource efficiency and CO2 reduction is growing in industrial production, particularly in the automotive sector. To address this, the industry is focusing on lightweight components that reduce weight without compromising mechanical properties, which are essential for passenger safety. Hybrid designs offer an effective solution by combining weight reduction with improved mechanical performance and functional integration. This study focuses on a one-step manufacturing process that integrates forming and bonding of hybrid systems using compression molding. This approach reduces production time and costs compared to traditional methods. Conventional Post-Mold Assembly (PMA) processes require two separate steps to combine fiber-reinforced plastic (FRP) structures with metal components. In contrast, the novel In-Mold Assembly (IMA) process developed in this study combines forming and bonding in a single step. In the IMA process, glass-mat-reinforced thermoplastic (GMT) is simultaneously formed and bonded between two metal belts during compression molding. The GMT core provides stiffening and load transmission between the metal belts, which handle tensile and compressive stresses. This method allows to produce hybrid structures with optimized material distribution for load-bearing and functional performance. The process was validated by producing a lightweight hybrid brake pedal. Demonstrating its potential for efficient and sustainable automotive production, the developed hybrid brake pedal achieved a 35% weight reduction compared to the steel reference while maintaining mechanical performance under quasi-static loading</jats:p>}},
  author       = {{Chalicheemalapalli Jayasankar, Deviprasad and Stallmeister, Tim and Lückenkötter, Julian Janick Stefan and Tröster, Thomas and Marten, Thorsten}},
  issn         = {{2073-4360}},
  journal      = {{Polymers}},
  number       = {{12}},
  publisher    = {{MDPI AG}},
  title        = {{{Process Development for Hybrid Brake Pedals Using Compression Molding with Integrated In-Mold Assembly}}},
  doi          = {{10.3390/polym17121644}},
  volume       = {{17}},
  year         = {{2025}},
}