@inbook{62305, author = {{Reijers, Wessel and Matzner, Tobias and Alpsancar, Suzana}}, booktitle = {{Digital Development. Technology, Ethics and Governance}}, editor = {{Farina, Mirko and Yu, Xiao and Chen, Jin}}, isbn = {{9781003567622}}, publisher = {{Routledge}}, title = {{{Explainability and AI Governance}}}, doi = {{10.4324/9781003567622-22}}, year = {{2025}}, } @misc{62306, author = {{Garske, Volker}}, publisher = {{Klett}}, title = {{{"Himmel" und "Hölle" als Sinnbilder der Seele}}}, year = {{2025}}, } @unpublished{62262, abstract = {{We construct the first examples of chamber-regular lattices on C̃₂-buildings. Assuming a conjecture of Kantor our list of examples becomes a classification for chamber-regular C̃₂-lattices on locally-finite C̃₂-buildings. The links of special vertices in the buildings we construct, are all isomorphic to (the incidence graph of) the unique generalized quadrangle Q of order (3,5). In particular our constructions involve chamber-regular actions on Q. These actions on Q are the first (and if Kantor's conjecture holds the only) chamber-regular actions on a finite generalized quadrangle and therefore interesting in their own right. Moreover Q is not Moufang and therefore none of our examples is a Bruhat-Tits building and all our lattices are exotic building lattices.}}, author = {{Stamer, Franziska and Titz Mite, Thomas }}, pages = {{29}}, title = {{{On Chamber-regular C̃₂-Lattices}}}, year = {{2025}}, } @article{62643, author = {{Schwabe, Tobias and Kress, Christian and Kruse, Stephan and Weizel, Maxim and Rhee, Hanjo and Scheytt, J. Christoph}}, journal = {{Journal of Lightwave Technology}}, keywords = {{Integrated circuit modeling, Capacitance, Silicon, Modulation, Adaptation models, Semiconductor device modeling, Bandwidth, Data communication, electrooptical transmitter, equalization, free-carrier-plasma dispersion effect, modelling, optical modulator, phase shifter, silicon photonics}}, number = {{1}}, pages = {{255--270}}, title = {{{Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology}}}, doi = {{10.1109/JLT.2024.3450949}}, volume = {{43}}, year = {{2025}}, } @inproceedings{62642, author = {{Kruse, Stephan and Brockmeier, Jan and Schwengelbeck, Max and Schwabe, Tobias and Scheytt, J. Christoph}}, booktitle = {{2025 55th European Microwave Conference (EuMC)}}, keywords = {{Phased arrays, Optical fibers, Optical fiber sensors, Laser radar, Optical variables measurement, Apertures, Light emitting diodes, Optical receivers, Optical transmitters, Optical modulation, Lidar, light detection and ranging, FMCW, frequency modulated contentious wave, visible light sensing (VLS), visible light communication (VLC), automotive headlights, light emitting diode (LED), microwave photonics, wireless sensing}}, pages = {{602--605}}, title = {{{A Photonic Assisted Visible Light FMCW Lidar System for Large Aperture Phased Array MIMO Based on LEDs}}}, doi = {{10.23919/EuMC65286.2025.11235259}}, year = {{2025}}, } @article{62644, author = {{Schwabe, Tobias and Kress, Christian and Sadiye, Babak and Kruse, Stephan and Scheytt, J. Christoph}}, journal = {{IEEE Access}}, keywords = {{Optical attenuators, Equalizers, Phase shifters, Optical modulation, Electro-optic modulators, Optical amplifiers, Circuits, Silicon photonics, Optical saturation, Integrated circuit modeling, Data communication, equalization, electro-optical transmitter, silicon photonics, phase shifter, optical modulator, free-carrier plasma dispersion effect, driver architectures, biasing schemes}}, pages = {{192433--192450}}, title = {{{Analysis and Design of Forward Biased Silicon Photonics Phase Shifter Equalizer Circuits}}}, doi = {{10.1109/ACCESS.2025.3629385}}, volume = {{13}}, year = {{2025}}, } @inproceedings{62641, author = {{Kruse, Stephan and Diri, Jabil and Mager, Thomas and Kress, Christian and Scheytt, J. Christoph}}, booktitle = {{2025 55th European Microwave Conference (EuMC)}}, keywords = {{Optical fibers, Integrated optics, Semiconductor device measurement, Laser radar, Optical device fabrication, Photonic integrated circuits, Microwave theory and techniques, Optical fiber devices, Plastics, Substrates, Microwave photonics, photonic radar, optical LO distribution, mechatronic integrated device (MID)}}, pages = {{127--130}}, title = {{{Electrooptical Integration of an Electronic Photonic Integrated Circuit Into Plastic Substrates Using Mid-Technology}}}, doi = {{10.23919/EuMC65286.2025.11235121}}, year = {{2025}}, } @misc{62638, author = {{Kruse, Stephan and Meinecke, Marc-Michael and Gisder, Thomas and Simoni, Renato and González-Huici, Maria Antonia and Greiff, Christian and Mateos-Nunez, David and Danklmayer, Andreas and Ladan, Julien and Kurz, Heiko Gustav}}, title = {{{Antennenvorrichtung zum Aussenden von elektromagnetischer Strahlung für ein Kraftfahrzeug sowie Kraftfahrzeug}}}, year = {{2025}}, } @misc{62639, author = {{Kruse, Stephan and Silberhorn, Christine and Brecht, Benjamin and Schwabe, Tobias}}, title = {{{Optisch basierter Digital-Analog-Umsetzer}}}, year = {{2025}}, } @article{62647, abstract = {{Anti-Islam and anti-Muslim attitudes are frequently perceived without sufficient differentiation. The absence of a clear distinction between attitudes towards individuals and attitudes towards the religion itself is evident in definitions that conflate (attitudes towards) Islam and Muslims, as well as in the operationalization process where surveys on overtly anti-Muslim attitudes are labelled as measuring anti-Islam attitudes. To explore whether the interchangeable usage of these terms is valid or whether there is empirical evidence supporting the need to differentiate between anti-Islam and anti-Muslim attitudes, an online survey was conducted (n = 497). The results indicate that anti-Islam and anti- Muslim attitudes are statistically distinct constructs that are nevertheless correlated. Furthermore, the study investigates the extent to which variations in the degree of hostile attitudes towards Islam and Muslims can be observed. The findings reveal that Islam is evaluated significantly more negatively than Muslims. In addition, an analysis of free associations related to the terms Islam and Muslims highlights notable differences. Although the respondents oftentimes see Muslims in the context of migration and integration, associations with Muslims tend to be more positive and based on personal experiences and interactions than associations with Islam. Associations with Islam, on the other hand, are characterized by threat and conflict and externalization to foreign countries. These findings have important implications for the theoretical conceptualization of anti- Islam and anti-Muslim attitudes. By differentiating between anti-Islam and anti- Muslim attitudes, it becomes possible to deconstruct these phenomena into their constituent elements and to understand their various dimensions. It is only through such disentanglement that the interconnected nature of anti-Islam and anti-Muslim attitudes can be comprehensively examined and effectively addressed.}}, author = {{Diekmann, Isabell}}, journal = {{Patterns of Prejudice}}, number = {{1}}, pages = {{75–97}}, title = {{{Unpacking Hostile Attitudes towards Islam and Muslims: A Differentiated Approach to Understanding Perceptions of Religion and People}}}, doi = {{10.1080/0031322X.2025.2557101}}, volume = {{59}}, year = {{2025}}, } @inbook{62645, author = {{Häsel-Weide, Uta and Nührenbörger, Marcus}}, booktitle = {{Handbuch Lehrerinnen- und Lehrerbildung}}, editor = {{Cramer, C. and König, J. and Rothland, M.}}, pages = {{549--555}}, publisher = {{Klinkhardt}}, title = {{{ Mathematik (Primarstufe) in der Lehrerinnen- und Lehrerbildung. Qualifizierung für das Lehren von Mathematik in der Grundschule}}}, doi = {{10.35468/hblb2025-070}}, year = {{2025}}, } @inproceedings{62344, abstract = {{kein Abstract vorhanden}}, author = {{Decuypere, Mathias and Hartong, Sigrid and Joecks, Lucas and Knox, Jeremy and Ortegón, Carlos and Schmidt, Rebecca and Williamson, Ben}}, location = {{Zürich}}, publisher = {{LibreCat University}}, title = {{{Critical Edtech Studies. Defining the field; envisioning the future. 2025 Position statement after the inaugural edition of the European Conference on Critical Edtech Studies (ECCES).}}}, doi = {{10.5281/ZENODO.17672486}}, year = {{2025}}, } @inproceedings{62688, author = {{Gräßler, Iris and Pottebaum, Jens and Rarbach, Sven}}, booktitle = {{The 11th World Sustainability Forum (WSF11)}}, location = {{Barcelona}}, publisher = {{MDPI}}, title = {{{Potentials of Product Lifecycle Management to Enhance Circular Economy}}}, doi = {{10.3390/proceedings2025131047}}, year = {{2025}}, } @techreport{62689, author = {{Fuchs, Christian and Museba, Joel and Friesch, Kevin}}, publisher = {{Horizon Europe Research Project INNOVADE Research Report }}, title = {{{D3.1 – White Paper: The Futures of Digital Democracy}}}, doi = {{10.5281/ZENODO.17747936}}, year = {{2025}}, } @book{59137, editor = {{Kunkel, Sönke and Homberg, Michael and Sackel, Johanna and Deuerlein, Martin and Klein, Jonas}}, isbn = {{ 9783119145688}}, publisher = {{De Gruyter}}, title = {{{Räume in der Internationale Geschichte}}}, year = {{2025}}, } @inproceedings{62163, abstract = {{Zero-shot classifiers based on Contrastive Language-Audio Pretraining (CLAP) models enable classification of given audio into classes defined at test time using text. These models are costly to run with respect to computation and memory requirements. In this work, we propose to build a specialized low-resource classifier for classes pre-defined using text, using a two-stage procedure consisting of zero-shot data set pruning and model compression. First, relevant in-domain data is selected from a source dataset using class label embeddings obtained from a pre-trained CLAP model. This data is then used to distill the audio encoder of a CLAP model. The proposed compression method produces compact audio encoders with slightly reduced accuracy. Note that neither labeled nor unlabeled in-domain audio data is required for its development. We verify by cross-dataset tests that the resulting classifiers are indeed specialized to their task.}}, author = {{Werning, Alexander and Häb-Umbach, Reinhold}}, booktitle = {{Proceedings of the 16th ITG Conference on Speech Communication}}, editor = {{Möller, Sebastian and Gerkmann, Timo and Kolossa, Dorothea}}, location = {{Berlin}}, pages = {{76--80}}, title = {{{A Fully Zero-Shot Approach to Obtaining Specialized and Compact Audio Tagging Models}}}, year = {{2025}}, } @inproceedings{59900, abstract = {{Running state-of-the-art large-scale audio models on edge devices is often infeasible due to their limited storage and computing resources. It is therefore necessary to compress and tune the models for the specific target task and hardware. This is commonly achieved by distilling the audio model, the teacher, to a small target model, the student. However, this approach can be improved by prepending a dataset pruning stage and training the teacher on the pruned data set only, which contains examples relevant to the target task. Recently, CLAP models have emerged that embed audio and text examples in a common embedding space. We use the audio embeddings of the CLAP model for the above pruning stage, which is realized using a domain classifier. After knowledge distillation, the student is eventually fine-tuned on some data from the target domain. The CLAP architecture combines text and audio embedding spaces, which allows to search for data given only a textual description, such as a class label. We show how this can help data pruning.}}, author = {{Werning, Alexander and Häb-Umbach, Reinhold}}, booktitle = {{Proceedings of DAS|DAGA 2025}}, location = {{Copenhagen}}, title = {{{Distilling Efficient Audio Models using Data Pruning with CLAP}}}, year = {{2025}}, } @inbook{62701, abstract = {{Learning continuous vector representations for knowledge graphs has significantly improved state-of-the-art performances in many challenging tasks. Yet, deep-learning-based models are only post-hoc and locally explainable. In contrast, learning Web Ontology Language (OWL) class expressions in Description Logics (DLs) is ante-hoc and globally explainable. However, state-of-the-art learners have two well-known lim-itations: scaling to large knowledge graphs and handling missing infor-mation. Here, we present a decision-tree-based learner (tDL) to learn Web Ontology Languages (OWLs) class expressions over large knowl-edge graphs, while imputing missing triples. Given positive and negative example individuals, tDL firstly constructs unique OWL expressions in .SHOIN from concise bounded descriptions of individuals. Each OWL class expression is used as a feature in a binary classification problem to represent input individuals. Thereafter, tDL fits a CART decision tree to learn Boolean decision rules distinguishing positive examples from nega-tive examples. A final OWL expression in.SHOIN is built by traversing the built CART decision tree from the root node to leaf nodes for each positive example. By this, tDL can learn OWL class expressions without exploration, i.e., the number of queries to a knowledge graph is bounded by the number of input individuals. Our empirical results show that tDL outperforms the current state-of-the-art models across datasets. Impor-tantly, our experiments over a large knowledge graph (DBpedia with 1.1 billion triples) show that tDL can effectively learn accurate OWL class expressions, while the state-of-the-art models fail to return any results. Finally, expressions learned by tDL can be seamlessly translated into natural language explanations using a pre-trained large language model and a DL verbalizer.}}, author = {{Demir, Caglar and Yekini, Moshood and Röder, Michael and Mahmood, Yasir and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Lecture Notes in Computer Science}}, isbn = {{9783032060655}}, issn = {{0302-9743}}, keywords = {{Decision Tree, OWL Class Expression Learning, Description Logic, Knowledge Graph, Large Language Model, Verbalizer}}, location = {{Porto, Portugal}}, publisher = {{Springer Nature Switzerland}}, title = {{{Tree-Based OWL Class Expression Learner over Large Graphs}}}, doi = {{10.1007/978-3-032-06066-2_29}}, year = {{2025}}, } @inproceedings{62707, author = {{Heindorf, Stefan and Neib, Daniel}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management}}, publisher = {{ACM}}, title = {{{Assessing Natural Language Explanations of Relational Graph Neural Networks}}}, doi = {{10.1145/3746252.3760918}}, year = {{2025}}, } @inproceedings{62714, abstract = {{Die fortschreitende Digitalisierung bringt große Herausforderungen für die Aus- und Weiterbildung von Lehrkräften mit sich. Während angehende Lehrkräfte bereits von neuen Entwicklungen in der Ausbildung profitieren, sind viele aktive Lehrkräfte bislang nicht ausreichend auf die digitalen Möglichkeiten im Unterricht vorbereitet. Der Kompetenzverbund lernen:digital setzt genau hier an und unterstützt gezielt Lehrkräfte beim Erwerb digitalisierungsbezogener Kompetenzen. Im Rahmen des Verbundprojekts ComeMINT wurde unter anderem ein Online-Selbstlernkurs entwickelt, der sich mit dem Einsatz digitaler Medien im Physikunterricht befasst. Grundlage des Kurses bilden zum einen eine Bedürfnisanalyse unter praktizierenden Physiklehrkräften und zum anderen bereits bestehende Materialien aus der Lehrkräfteausbildung. Der Kurs vermittelt grundlegende Kompetenzen im Umgang mit physikspezifischen digitalen Medien, wie zum Beispiel digitaler Messwerterfassung, Augmented Reality oder Simulationen. In diesem Beitrag werden die Entwicklung und die Inhalte des Selbstlernkurses skizziert, sowie die nachhaltige Aufbereitung der Materialien zur Nachnutzung dargestellt.}}, author = {{Weiler, David Christoph and Burde, Jan-Philipp and Costan, Kasim and Gieshoff, Rike Isabel and Kulgemeyer, Christoph and Lässer, Armin and Plicht, Katja and Riese, Josef and Schubatzky, Thomas}}, booktitle = {{PhyDid B - Didaktik Der Physik - Beiträge Zur DPG-Frühjahrstagung}}, location = {{Göttingen}}, pages = {{71--78}}, title = {{{Online-Selbstlernkurs zu digitalen Medien im Physikunterricht}}}, year = {{2025}}, }