@inproceedings{63125,
  author       = {{Wotschel, Philipp}},
  location     = {{Universität Bamberg}},
  title        = {{{Von der Theorie zur (Beratungs)Praxis? Ein handlungsnahes Prüfungsformat zur Erfassung von Beratungskompetenz im Lehramtsstudium}}},
  year         = {{2025}},
}

@inproceedings{63400,
  abstract     = {{Data centers (DCs) form the backbone of our growing digital economy, but their rising energy demands pose challenges to our environment. At the same time, reusing waste heat from DCs also represents an opportunity, for example, for more sustainable heating of residential buildings. Modeling and optimizing these coupled and dynamic systems of heat generation and reuse is complex. On the one hand, physical simulations can be used to model these systems, but they are time-consuming to develop and run. Machine learning (ML), on the other hand, allows efficient data-driven modeling, but conventional correlation-based approaches struggle with the prediction of interventions and out-of-distribution generalization. Recent advances in causal ML, which combine principles from causal inference with flexible ML methods, are a promising approach for more robust predictions. Due to their focus on modeling interventions and cause-and-effect relationships, it is difficult to evaluate causal ML approaches rigorously. To address this challenge, we built a testbed of a miniature DC with an integrated waste heat network, equipped with sensors and actuators. This testbed allows conducting controlled experiments and automatic collection of realistic data, which can then be used to benchmark conventional and causal ML methods. Our experimental results highlight the strengths and weaknesses of each modeling approach, providing valuable insights on how to appropriately apply different types of machine learning to optimize data center operations and enhance their sustainability.}},
  author       = {{Zapata Gonzalez, David Ricardo and Meyer, Marcel and Müller, Oliver}},
  booktitle    = {{ACM SIGEnergy Energy Informatics Review}},
  issn         = {{2770-5331}},
  number       = {{2}},
  pages        = {{4--10}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study}}},
  doi          = {{10.1145/3757892.3757893}},
  volume       = {{5}},
  year         = {{2025}},
}

@article{61354,
  author       = {{del Valle Luque, Victoria}},
  issn         = {{2264-7082}},
  journal      = {{TIPA. Travaux interdisciplinaires sur la parole et le langage}},
  publisher    = {{OpenEdition}},
  title        = {{{[Synthèse] “Le théâtre au service de la formation des enseignants”. Développement d’un concept d’enseignement basé sur le théâtre pour la promotion de la compétence d’enseignement performatif des futurs enseignants de langues étrangères}}},
  doi          = {{10.4000/14nop}},
  volume       = {{39}},
  year         = {{2025}},
}

@techreport{67010,
  author       = {{Alves, Hirley and Mahmood, Nurul H. and López, Onel Luis Alcaraz and Samarakoon, Sumudu and Yrjölä, Seppo and Latva-aho, Matti and Juntti, Markku and Pouttu, Ari and Dekorsy, Armin and family=Sena, given=Arthur Sousa, prefix=de and Sezgin, Aydin and Matthiesen, Bho and Benzaid, Chafika and Weeraddana, Chathuranga and Hutchison, David and Marasinghe, Dileepa and Ergenç, Doğanalp and Jorswieck, Eduard and Harjula, Erkki and Dressler, Falko and Atzeni, Italo and van de Beek, Japp and Rak, Jacek and Mikhaylov, Konstantin and Lovén, Lauri and Liyanage, Madhusanka and Katz, Marcos and Matinmikko-Blue, Marja and Rasti, Mehdi and Ylianttila, Mika and Nguyen, Nhan and Porambage, Pawani and Popovski, Petar and Ahokangas, Petri and Rajatheva, Premanandana and Reifert, Robert-Jeron and Hewa, Tharaka and Svensson, Tommy}},
  title        = {{{6G Resilience White Paper}}},
  year         = {{2025}},
}

@inproceedings{66968,
  author       = {{Razmi, Nasrin and Mukherjee, Sourav and Matthiesen, Bho and Dekorsy, Armin and Popovski, Petar}},
  booktitle    = {{2025 14th International ITG Conference on Systems, Communications and Coding (SCC)}},
  publisher    = {{IEEE}},
  title        = {{{Sparse Incremental Aggregation in Satellite Federated Learning}}},
  doi          = {{10.1109/ieeeconf62907.2025.10949091}},
  year         = {{2025}},
}

@inproceedings{66969,
  author       = {{Razmi, Nasrin and Matthiesen, Bho and Dekorsy, Armin and Popovski, Petar}},
  booktitle    = {{2024 IEEE Globecom Workshops (GC Wkshps)}},
  publisher    = {{IEEE}},
  title        = {{{Energy-Aware Federated Learning in Satellite Constellations}}},
  doi          = {{10.1109/gcwkshp64532.2024.11100966}},
  year         = {{2025}},
}

@inbook{60208,
  author       = {{Kruse, Iris and Kanning, Julian}},
  booktitle    = {{Praktiken der Erinnerung}},
  editor       = {{Ballis, Anja and Sosna, Anette and Wrobel, Dieter}},
  publisher    = {{Wissenschaftlicher Verlag Trier}},
  title        = {{{Zwischen Ablehnung und Befürwortung . Professionelle Beliefs zu Holocaust-Bilderbüchern im Unterricht von Klasse 4}}},
  year         = {{2025}},
}

@article{63053,
  author       = {{Hernández, Carlos and Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Cuate, Oliver and Trautmann, Heike and Schütze, Oliver}},
  journal      = {{IEEE Transactions on Evolutionary Computation}},
  keywords     = {{Optimization, Evolutionary computation, Hands, Proposals, Convergence, Computational efficiency, Artificial intelligence, Accuracy, Approximation algorithms, Aerospace electronics, Multi-objective optimization, evolutionary algorithms, nearly optimal solutions, multimodal optimization, archiving, continuation}},
  pages        = {{1747--1760}},
  title        = {{{An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization}}},
  doi          = {{10.1109/TEVC.2025.3637276}},
  year         = {{2025}},
}

@misc{67026,
  author       = {{Leinfellner, Stefanie and Lammer, Christina}},
  title        = {{{Soziale Nachhaltigkeit – Perspektiven für Mentoring-Programme}}},
  year         = {{2025}},
}

@article{67188,
  author       = {{Eckel, Julia and Reinerth, Maike Sarah and Schamal, Vera}},
  journal      = {{animationstudies 2.0}},
  title        = {{{Editorial: Animation and Agency}}},
  year         = {{2025}},
}

@misc{67187,
  booktitle    = {{animationstudies 2.0}},
  editor       = {{Eckel, Julia and Reinerth, Maike Sarah and Schamal, Vera}},
  title        = {{{animationstudies 2.0. Theme: Animation and Agency}}},
  year         = {{2025}},
}

@article{67189,
  author       = {{Eckel, Julia}},
  journal      = {{animationstudies 2.0}},
  title        = {{{AI Anymation and Agency}}},
  year         = {{2025}},
}

@inproceedings{63193,
  abstract     = {{The integration of data-driven models and specifically machine learning for conditon monitoring and predictive maintenance into companies, especially small and medium-sized enterprises, offers significant opportunities in reducing costs, operating more sustainably, and maintaining long-term competitiveness. However, many small and medium-sized enterprises lack the necessary resources and expertise to derive knowledge from data and integrate their own machine learning based solutions. To address this challenge, a framework is presented that enables the automated generation of data-driven models with a particular focus on condition monitoring and predictive maintenance, but applicable to other use cases as well. Using a dataset from the 2022 data challenge of the prognostics and health management society, it is demonstrated that the framework can generate high-performing models, achieving F1-scores up to 0.998, exemplarily for a classification task.}},
  author       = {{Löwen, Alexander and Quirin, Dennis and Hesse, Marc and Aimiyekagbon, Osarenren Kennedy and Sextro, Walter}},
  booktitle    = {{2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  location     = {{Porto}},
  publisher    = {{IEEE}},
  title        = {{{Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems}}},
  doi          = {{10.1109/etfa65518.2025.11205799}},
  year         = {{2025}},
}

@book{67219,
  author       = {{Ptashnyk, Stefaniya}},
  isbn         = {{9783111624020}},
  publisher    = {{De Gruyter}},
  title        = {{{Multilingualität in der Stadt}}},
  doi          = {{10.1515/9783111624495}},
  year         = {{2025}},
}

@inbook{54774,
  author       = {{Varga, Eva}},
  booktitle    = {{Diskurse und Praktiken der Heterogenität. Pädagogisches Handeln in heterogenen Settings. Mit einem Fokus auf die Elementar- und Primarbildung.}},
  editor       = {{Günesli, Habib and Albers, Timm and Mombeck, Mona M. and Jesuthasan, Jonitta}},
  pages        = {{239--248}},
  publisher    = {{Beltz Juventa}},
  title        = {{{Das Linguistic Soundscaping im Elementarbereich. Ein methodischer Ansatz für die Erfahrung von sprachlicher und sprachbezogener Heterogenität. }}},
  year         = {{2025}},
}

@inbook{66491,
  author       = {{Taskaya, Ayce and Jenninger, Isabell}},
  booktitle    = {{Ausbilder-Handbuch: Aufgaben, Konzepte, Praxisbeispiele}},
  editor       = {{Dietl, Stefan F. and Schmidt, Hermann and Weiß, Reinhold and Wittwer, Wolfgang}},
  isbn         = {{978-3871561658}},
  pages        = {{1--16}},
  publisher    = {{Deutscher Wirtschaftsdienst}},
  title        = {{{Die Standardberufsbildposition "Umweltschutz und Nachhaltigkeit" im Betrieb umsetzen}}},
  year         = {{2025}},
}

@article{60681,
  author       = {{Díaz Canales, Edith Benjamina and Avila Galarza, Alfredo and Schlüter, Sabine and Lacayo Escobar, Erick and Schlüter, Alexander}},
  issn         = {{3044-5221}},
  journal      = {{Journal of Sustainable Development Indicators}},
  number       = {{2}},
  pages        = {{1--26}},
  publisher    = {{SDEWES Centre}},
  title        = {{{Implementing Strategic Environmental Assessment in the Global South, a Challenge: Nicaragua as a Case Study}}},
  doi          = {{10.13044/j.sdi.d2.0592}},
  volume       = {{1}},
  year         = {{2025}},
}

@unpublished{63602,
  abstract     = {{We show that, on a smoothly paracompact convenient manifold $M$ modeled on a convenient space with the bornological approximation property, the dual map of a Poisson bracket factors as a smooth section of the vector bundle $L_{skew}^2(T^*M,\mathbb R)$.}},
  author       = {{Michor,  P. W. and Rahangdale, Praful}},
  title        = {{{Poisson bivectors on infinite dimensional manifolds}}},
  year         = {{2025}},
}

@inbook{67279,
  author       = {{Schreiber, Christine and Patrzek, Justine}},
  booktitle    = {{Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen}},
  isbn         = {{9783662694800}},
  keywords     = {{Unterrichtsfach Psychologie}},
  publisher    = {{Springer Berlin Heidelberg}},
  title        = {{{Urteilsbildung als ein didaktisches Modell für den Psychologieunterricht}}},
  doi          = {{10.1007/978-3-662-69481-7_5}},
  year         = {{2025}},
}

@inbook{67278,
  author       = {{Patrzek, Justine and Schreiber, Christine}},
  booktitle    = {{Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen}},
  isbn         = {{9783662694800}},
  keywords     = {{Unterrichtsfach Psychologie}},
  publisher    = {{Springer Berlin Heidelberg}},
  title        = {{{Paradigmenorientierte Didaktik des Psychologieunterrichts}}},
  doi          = {{10.1007/978-3-662-69481-7_2}},
  year         = {{2025}},
}

