@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}},
}

@inbook{59841,
  author       = {{Genovese, Matteo and Piraino, Francesco and Corigliano, Orlando and Schlüter, Alexander and Scionti, Eugenio and Fragiacomo, Petronilla}},
  booktitle    = {{Accelerating the Transition to a Hydrogen Economy}},
  isbn         = {{9780443240027}},
  publisher    = {{Elsevier}},
  title        = {{{Hydrogen economy development in the European Union}}},
  doi          = {{10.1016/b978-0-443-24002-7.00005-7}},
  year         = {{2025}},
}

@phdthesis{63511,
  abstract     = {{Der unsystematische und ineffiziente Umgang mit technischen Änderungen führt zuhohen Personalkosten durch Mehraufwand, einer reduzierten Entscheidungsqualität und kannin Projektfehlschlägen resultieren. Herausforderungen beim Umgang mit technischen Änderungenliegen in der Berücksichtigung relevanter Ursache-Wirkungs-Zusammenhänge, der quantitativen und qualitativen Bewertung der Auswirkungen und der effizienten prozessualen Einbindung. Mithilfe eines modellbasierten Lösungsansatzes lassen sich die Auswirkungen technischer Änderungen schneller bewerten und fundierte Entwicklungsentscheidungen treffen. In der vorliegenden Dissertation wird eine Methodik für die Entwicklung modell-basierter Wirkkettenanalysen zur Bewertung technischer Änderungen beschrieben. Durch die modellbasierte Wirkkettenanalyse können direkt oder indirekt von der Änderung betroffene Modellelemente identifiziert werden. Das Datenmodell wird mithilfe von Abfragesprachen analysiert und die Auswirkungen werden mithilfe von integrierten Metriken quantifiziert. Die Ergebnisse der Wirkkettenanalyse werden in rollenspezifischen Sichten bereitgestellt, wodurch eine bedarfsgerechte Entscheidungsunterstützung gewährleistet wird. Die Validierung anhand von vier industriellen Fallstudien belegt die Praxistauglichkeit der Methodik. Die Methodik verbindet das Änderungsmanagement mit den Vorteilen einer modellbasierten Systementwicklung und bildet somit einen synergetischen neuen Forschungsbereich.}},
  author       = {{Wiechel, Dominik}},
  isbn         = {{978-3-947647-51-4}},
  issn         = {{2365-4422}},
  title        = {{{Modellbasierte Wirkkettenanalyse zur Bewertung technischer Änderungen}}},
  doi          = {{10.17619/UNIPB/1-2473}},
  volume       = {{432}},
  year         = {{2025}},
}

@inproceedings{63527,
  author       = {{Henkenjohann, Mark and Nolte, Udo and Jahneke, Julien and Reimer, Oliver and Abrams, Stefan and Sion, Fabian and Henke, Christian and Trächtler, Ansgar and Schubert, Sebastian and Pfifer, Harald}},
  booktitle    = {{AIAA SCITECH 2025 Forum}},
  publisher    = {{American Institute of Aeronautics and Astronautics}},
  title        = {{{Dynamic Wind Tunnel Testing of an INDI-Based Flight Controller for a Tiltrotor-VTOL}}},
  doi          = {{10.2514/6.2025-2083}},
  year         = {{2025}},
}

@inproceedings{63528,
  author       = {{Reiling, Fabian and Bause, Maximilian and Gröger, Stefan and Henke, Christian and Koppert, Steven and Trächtler, Ansgar}},
  booktitle    = {{2025 11th International Conference on Automation, Robotics, and Applications (ICARA)}},
  publisher    = {{IEEE}},
  title        = {{{Development of a Learning-Based Control System for Robot-Assisted Grinding of Rubber Roller}}},
  doi          = {{10.1109/icara64554.2025.10977606}},
  year         = {{2025}},
}

@inproceedings{57324,
  abstract     = {{Generating SPARQL queries is crucial for extracting relevant information from diverse knowledge graphs. However, the structural and semantic differences among these graphs necessitate training or fine-tuning a tailored model for each one. In this paper, we propose UniQ-Gen, a unified query generation approach to generate SPARQL queries across various knowledge graphs. UniQ-Gen integrates entity recognition, disambiguation, and linking through a BERT-NER model and employs cross-encoder ranking to align questions with the Freebase ontology. We conducted several experiments on different benchmark datasets such as LC-QuAD 2.0, GrailQA, and QALD-10. The evaluation results demonstrate that our approach achieves performance equivalent to or better than models fine-tuned for individual knowledge graphs. This finding suggests that fine-tuning a unified model on a heterogeneous dataset of SPARQL queries across different knowledge graphs eliminates the need for separate models for each graph, thereby reducing resource requirements.}},
  author       = {{Vollmers, Daniel and Srivastava, Nikit and Zahera, Hamada Mohamed Abdelsamee and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Knowledge Engineering and Knowledge Management}},
  editor       = {{Alam, Mehwish and Rospocher, Marco and van Erp, Marieke and Hollink, Laura and Gesese, Genet Asefa}},
  isbn         = {{978-3-031-77792-9}},
  pages        = {{174–189}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs}}},
  doi          = {{https://doi.org/10.1007/978-3-031-77792-9_11}},
  year         = {{2025}},
}

@article{58133,
  author       = {{Pramanik, Sudipta and Mileaege, Dennis and Andreiev, Anatolii and Hoyer, Kay-Peter and Schaper, Mirko}},
  issn         = {{1059-9495}},
  journal      = {{Journal of Materials Engineering and Performance}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Effect of Compression Rate and Pore Size Distribution on the Compression Behavior of Additively Manufactured Bio-inspired Fe3Si Microporous Material}}},
  doi          = {{10.1007/s11665-024-10618-z}},
  year         = {{2025}},
}

@inproceedings{58539,
  author       = {{Franke, Patrick and Schubert, Markus and Hampel, Uwe and Kenig, Eugeny Y.}},
  booktitle    = {{Proceedings of the Dechema/VDI Jahrestreffen Fluidverfahrenstechnik 2025}},
  location     = {{Bochum}},
  title        = {{{Modeling reactive absorption in sandwich packings}}},
  year         = {{2025}},
}

@inbook{58616,
  author       = {{Weber, Tassja and Kober, Sabine and Lewa, Carmen and Scherer, Elisabeth and Schotemeier, Sarah}},
  booktitle    = {{Digitales Lehren und Lernen an der Hochschule. Strategien - Bedingungen - Umsetzung}},
  editor       = {{Mrohs, Lorenz and Franz, Julia and Herrmann, Dominik and Lindner, Konstantin and Staake, Thorsten}},
  isbn         = {{978-3-8376-7120-9}},
  pages        = {{47--54}},
  publisher    = {{transcript Verlag}},
  title        = {{{Eine Kultur des Teilens hochschulübergreifend durch OER voranbringen}}},
  doi          = {{https://doi.org/10.14361/9783839471203}},
  year         = {{2025}},
}

@misc{58618,
  author       = {{Maier, Lukas and Beimdiek, Janis}},
  title        = {{{Untersuchung der Eignung von Eisen-/Mangan-Oxiden aus einer Sprayflammensynthese für die SCR}}},
  year         = {{2025}},
}

@article{58076,
  abstract     = {{This paper presents the concept of Information Circularity Assistance, which provides decision support in the early stages of product creation for Circular Economy. Engineers in strategic product planning need to proactively predict the quantity, quality, and timing of secondary materials and returned components. For example, products with high recycled content will only be economically sustainable if the material is actually available in the future product life. Our assumption is that Information Circularity Assistance enables decision makers to incorporate insights from extreme data – high-volume, high-velocity, heterogeneous and distributed data from the product life – into product creation through intelligent Digital Twins. Artificial Intelligence can help to derive sustainable actions in favor of circular products by processing extreme data and enriching it with expert knowledge. The research contributes in three key dimensions. First, a comprehensive literature review is conducted. This review covers concepts of intelligence in Scenario-Technique for strategic product planning, Digital Twin-based analysis of extreme data and relevant technologies from Data Science and Artificial Intelligence. In all areas, the state of the art and emerging trends are identified. Secondly, the study identifies information needs along the steps of the Scenario-Technique and information offerings based on Digital Twins. The concept of Information Circularity Assistance results from the coupling of these demands and offerings, extending the Scenario-Technique beyond traditional expert-based methods. Third, we extend existing Digital Twin methods used in circularity and discuss the deployment of Data Science and Artificial Intelligence algorithms within the product creation process. Our approach uses extreme data to provide a strategic advantage in optimizing product life cycle planning, which is illustrated by two sample applications. The aim is to provide Information Circularity Assistance that will support experienced product planners, developers, and decision makers in the future.}},
  author       = {{Gräßler, Iris and Weyrich, Michael and Pottebaum, Jens and Kamm, Simon}},
  issn         = {{0178-2312}},
  journal      = {{at - Automatisierungstechnik}},
  keywords     = {{Scenario-Technique, Artificial Intelligence, Digital Twin, Large Language Models}},
  number       = {{1}},
  pages        = {{3--21}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Information Circularity Assistance based on extreme data}}},
  doi          = {{10.1515/auto-2024-0039}},
  volume       = {{73}},
  year         = {{2025}},
}

@article{58650,
  abstract     = {{Technical systems are characterized by increasing interdisciplinarity, complexity and networking. A product and its corresponding production systems require interdisciplinary multi-objective optimization. Sustainability and recyclability demands increase said complexity. The efficiency of previously established engineering methods is reaching its limits, which can only be overcome by systematic integration of extreme data. The aim of "hybrid decision support" is as follows: Data science and artificial intelligence should be used to supplement human capabilities in conjunction with existing heuristics, methods, modeling and simulation to increase the efficiency of product creation.}},
  author       = {{Gräßler, Iris and Pottebaum, Jens and Nyhuis, Peter and Stark, Rainer and Thoben, Klaus-Dieter and Wiederkehr, Petra}},
  issn         = {{2942-6170}},
  journal      = {{Industry 4.0 Science}},
  keywords     = {{AI, artificial intelligence, Data Science, decision support, extreme data, Künstliche Intelligenz, product creation, product development}},
  number       = {{1}},
  publisher    = {{GITO mbH Verlag}},
  title        = {{{Hybrid Decision Support in Product Creation - Improving performance with data science and artificial intelligence}}},
  doi          = {{10.30844/i4sd.25.1.18}},
  volume       = {{2025}},
  year         = {{2025}},
}

@article{58672,
  author       = {{Al Trjman, Mohamad and Salten, Alexander Heinrich Johannes and Beule, Felix and Teutenberg, Dominik and Meschut, Gerson and Riese, Julia and Kenig, Eugeny}},
  issn         = {{0143-7496}},
  journal      = {{International Journal of Adhesion and Adhesives}},
  publisher    = {{Elsevier BV}},
  title        = {{{Viscous fingering in adhesive bonding}}},
  doi          = {{10.1016/j.ijadhadh.2025.103960}},
  volume       = {{139}},
  year         = {{2025}},
}

@article{58759,
  author       = {{Dechert, Christopher and Kenig, Eugeny Y.}},
  issn         = {{0009-2509}},
  journal      = {{Chemical Engineering Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{Influence of microstructures on liquid spreading on inclined plates: A CFD based study}}},
  doi          = {{10.1016/j.ces.2025.121317}},
  year         = {{2025}},
}

@inproceedings{58761,
  author       = {{Dechert, Christopher and Riese, Julia and Franke, Patrick}},
  location     = {{Bochum}},
  title        = {{{Untersuchung zur Vergleichbarkeit von verschiedenen Methoden zur Bestimmung der effektiven Phasengrenzflächen}}},
  year         = {{2025}},
}

@inproceedings{58762,
  author       = {{Dechert, Christopher and Riese, Julia}},
  location     = {{Bochum}},
  title        = {{{Bewertung des Potentiales der Elektrobenetzung für Trennkolonnen}}},
  year         = {{2025}},
}

@article{58535,
  author       = {{Yang, Keke and Wang, Zhuoqun and Haak, Viktor and Olfert, Viktoria and El-Sari, Bassel and Hein, David and Biegler, Max and Rethmeier, Michael and Meschut, Gerson}},
  issn         = {{1526-6125}},
  journal      = {{Journal of Manufacturing Processes}},
  pages        = {{306--319}},
  publisher    = {{Elsevier BV}},
  title        = {{{A novel welding schedule for expanding the expulsion-free process window in resistance spot welding of dissimilar joints with ultra-high strength steel}}},
  doi          = {{10.1016/j.jmapro.2025.02.009}},
  volume       = {{137}},
  year         = {{2025}},
}

@article{58556,
  abstract     = {{To predict and prevent uneven tire wear in addition to a reduction of overall tire wear, it is essential to estimate not only the total amount of wear but also how the wear is distributed across the tire width. This requires knowledge of the frictional power distribution in the tire contact patch, which is the basis for calculating tire wear using a wear law. Usually, only 3D structural tire models can generate such distributed contact results. However, they involve high computational costs and cannot be used for comprehensive optimization of a vehicle’s suspension system with respect to tire wear characteristics. Hence, this contribution presents a methodology on how to accelerate the prediction of the frictional power distribution using two components: The structural tire model is replaced by an empirical tire model that on its own is not able to generate distributed contact results. Therefore, an artificial neural network is trained to predict the desired contact results from the kinematic quantities calculated by the empirical tire model. In the initial training phase, both components are fitted to data generated by the original complex tire model. After training, the empirical tire model can replace the structural tire model in vehicle simulations, resulting in significantly shorter calculation times. The simulation results are fed into the artificial neural network, which predicts the frictional power distributions over the tire width with negligible additional effort. Overall, the methodology reduces calculation time for the prediction of tire wear based on virtual test drives to approximately 25% of the time needed when using structural tire models.}},
  author       = {{Muth, Lars and Zharia, Raphael and Sahin, Hürkan and Sextro, Walter}},
  journal      = {{Tire Science and Technology}},
  publisher    = {{The Tire Society}},
  title        = {{{Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network}}},
  doi          = {{https://doi.org/10.2346/TST-24-009}},
  year         = {{2025}},
}

@article{58165,
  author       = {{Neumann, Maximilian and Xia, Marc and Pöschmann, René and Merkel, Amelie and Staud, Rolf and Schneider, Hannes and Ehlert, Thomas and Paschold, Jürgen and Müller, Steffen and Harding, Laura-Selin and Neukäufer, Johannes and Hiller, Christoph and Ausner, Ilja and Gäbler, Ansor and Chromik, Reiner and Maćkowiak, Jan and Maćkowiak, Jerzy and Sola Cervera, Jose Luis and Geipel, Christian and Brinkmann, Jost and Bausa, Jürgen and Zeck, Sebastian and Hapke, Mark and Forner, Florian and Habla, Florian and Knaup, Manuel and Schulz, Robin and Schultes, Michael and Harlacher, Thomas and Lutters, Nicole and Kenig, Eugeny and Jasch, Katharina and Paschetag, Mandy and Scholl, Stephan and Grünewald, Marcus and Brösigke, Georg and Repke, Jens-Uwe and Klein, Harald and Rehfeldt, Sebastian}},
  issn         = {{1383-5866}},
  journal      = {{Separation and Purification Technology}},
  publisher    = {{Elsevier BV}},
  title        = {{{Towards reliable HETP values: Lessons learned from standardized separation efficiency measurements}}},
  doi          = {{10.1016/j.seppur.2025.131436}},
  volume       = {{361}},
  year         = {{2025}},
}

@inbook{58691,
  author       = {{Albus, Vanessa}},
  booktitle    = {{Nachhaltigkeit in der Medienkommunikation. Ethische Anforderungen und praktische Lösungsansätze}},
  editor       = {{Kokoschka, Vanessa and Kosak, Stefan and Paganini, Claudia and Rademacher, Lars}},
  isbn         = {{ISBN 978-3-7560-1814-7}},
  pages        = {{171--184}},
  publisher    = {{Nomos}},
  title        = {{{Paradigmenwechsel und Metapher. Ein Weg zur Gesellschaft der Nachhaltigkeit?}}},
  volume       = {{23}},
  year         = {{2025}},
}