@article{66790,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>Roller shells of twin-roll-caster (TRC) are subjected to wear and tear due to their usage in harsh casting and forming conditions. Therefore, their durability is significantly shortened by the need to refinish the surface to reinstate suitable surface parameters for rolling and casting thin aluminium or other metal strips. To extend the lifetime of the rollers, a solution to repair the surface has to be found. Due to the constraints in the TRC process, most surface repair processes are not suitable, too complex (multistage heat treatment) or too expensive. Hence, high velocity oxygen fuel (HVOF) is a viable solution for applying a repair surface onto worn-down rollers, as this process is well-known and understood, already established in the industry, and potentially possible to integrate into the TRC process environment without disassembling the roller from the machine.</jats:p>}},
  author       = {{Lauth, Martin and Hoyer, Kay-Peter and Voswinkel, Dietrich and Gräfen, Winfried and Schaper, Mirko}},
  issn         = {{2194-1831}},
  journal      = {{HTM Journal of Heat Treatment and Materials}},
  number       = {{4}},
  pages        = {{166--178}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Adapting the HVOF Process for the Repair of Twin-Roll-Caster Shells}}},
  doi          = {{10.1515/htm-2026-0017}},
  volume       = {{81}},
  year         = {{2026}},
}

@inproceedings{66517,
  abstract     = {{Models of Circular Economy introduce circularity strategies like reuse, repair or remanufacture. A significant level of complexity is added when these strategies are applied not only on integrated product level, but on lower levels of assemblies and parts. Therefore, approaches, like Design for Assembly, Disassembly and Reassembly (DfADR) become increasingly important including the consideration of ADR capabilities. To put DfADR into practice, it is necessary to structure ADR-related product data and make it usable for product engineers. For instance, assemblies resulting from disassembly might not be consistent with original assembly structures. Therefore, a Product Meta Data Model (MDM) is required to handle assembly-related data even when it has extreme characteristics. A literature review on related MDMs reveals a range of models for general product data and identifies a gap in consideration of assembly-related data. In an expert workshop, requirements are raised to evaluate existing models and develop ADR-related extensions. The MDM is conceptually modelled and validated by competence questions. The paper presents an approach that makes assembly-related data usable for hybrid decision support and enables engineers to think ahead of ADR processes.}},
  author       = {{Gräßler, Iris and Vollenkemper, Felix and Pottebaum, Jens}},
  booktitle    = {{1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University}},
  editor       = {{Graessler, Iris}},
  location     = {{Paderborn}},
  publisher    = {{Universitätsbibliothek}},
  title        = {{{A product Meta Data Model of assembly-related extreme data to enable hybrid decision support}}},
  doi          = {{10.17619/UNIPB/1-2642}},
  year         = {{2026}},
}

@book{66911,
  editor       = {{del Valle, Victoria}},
  title        = {{{Dinámicas de transformación – la dáctica del Español en procesos de cambio}}},
  year         = {{2026}},
}

@phdthesis{67018,
  author       = {{Bielak, Christian Roman}},
  isbn         = {{978-3-8191-0838-9}},
  publisher    = {{Shaker}},
  title        = {{{Methode zur ganzheitlichen Prognose der Fügbarkeit entlang der Prozesskette am Beispiel des Clinchens}}},
  doi          = {{DOI 10.2370/9783819108389}},
  year         = {{2026}},
}

@article{67066,
  author       = {{Kullmer, Gunter and Krome, Sven and Ostwald, Richard}},
  issn         = {{0013-7944}},
  journal      = {{Engineering Fracture Mechanics}},
  publisher    = {{Elsevier BV}},
  title        = {{{A new approach for the formulaic description of the crack growth rate curve for long cracks in aluminum alloys}}},
  doi          = {{10.1016/j.engfracmech.2026.112568}},
  volume       = {{345}},
  year         = {{2026}},
}

@article{66094,
  abstract     = {{The two-qubit controlled-not (C-NOT) gate is an essential component for gate-based quantum circuits. In fact, its operation, combined with single qubit rotations allows to realise any quantum circuit. Several strategies have been adopted in order to build quantum gates. Among them, photonics offers the dual advantage of excellent isolation from the environment and ease of manipulation at the single qubit level. Here we adopt a scalable time-multiplexed approach in order to build a fully reconfigurable architecture capable of implementing a post-selected C-NOT gate with a fidelity of (93.8 ± 1.4)%. We then show how our time-multiplexed platform can be employed to combine a C-NOT and a single qubit gate in order to generate the four Bell states.}},
  author       = {{Pegoraro, Federico and Held, Philip and Lammers, Jonas and Brecht, Benjamin and Silberhorn, Christine}},
  issn         = {{2041-1723}},
  journal      = {{Nature Communications}},
  keywords     = {{Photonic Quantum Computing, Time-multiplexing, Quantum Information}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Demonstration of a quantum C-NOT gate in a time-multiplexed fully reconfigurable photonic processor}}},
  doi          = {{10.1038/s41467-026-74861-9}},
  volume       = {{17}},
  year         = {{2026}},
}

@book{66102,
  abstract     = {{In diesem Open-Access-Buch untersucht Tessa-Marie Menzel das Ideal und die diskursive Hervorbringung der 'guten' Mutter in Sozialen Medien. Im Zentrum steht die App Instagram als digitale Öffentlichkeit, in der sogenannte Momfluencerinnen Mutterschaft öffentlich inszenieren und normativ rahmen. Vor dem Hintergrund widersprüchlicher gesellschaftlicher Erwartungen zwischen intensiver Fürsorge und weiblicher Selbstverwirklichung wird mit Hilfe einer Diskursanalyse untersucht, welches Bild der 'guten' Mutter (re-)produziert und legitimiert wird. Anhand von sechs normativen Figuren ‚guter‘ Mutterschaft zeigen die Ergebnisse, dass konkurrierende Anforderungen zu einem scheinbar mühelosen Ideal verschmelzen, bei dem Stress zum Statussymbol wird und Mutterschaft an soziale und ökonomische Privilegien gebunden ist.}},
  author       = {{Menzel, Tessa-Marie}},
  keywords     = {{Mutterschaft, Instagram, Diskursanalyse, Sozialpädagogik, Erziehungswissenschaft}},
  pages        = {{326}},
  publisher    = {{Springer VS Wiesbaden}},
  title        = {{{Die 'gute' Mutter - Eine diskursanalytische Untersuchung von Mutterschaft in Sozialen Medien}}},
  doi          = {{https://doi.org/10.1007/978-3-658-52388-6}},
  year         = {{2026}},
}

@article{65783,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>
                    The shift to a low-carbon economy requires developing green skills across sectors. This paper builds on a recent Perspective
                    <jats:sup>1</jats:sup>
                    article examining how institutional regimes shape green skill formation. Drawing on the microfoundations of management research, we propose a micro-level perspective of public sector green skill formation, thereby emphasizing the role of street-level bureaucrats serving as public servants who directly engage with citizens in implementing public policies and outline a research agenda.
                  </jats:p>}},
  author       = {{Kesternich, Martin and Kiepe, Karina and Reimsbach, Daniel and Trang, Simon Thanh-Nam and Yang, Philip}},
  issn         = {{2731-9814}},
  journal      = {{npj Climate Action}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Equipping street-level bureaucrats with green skills for sustainable public policy change}}},
  doi          = {{10.1038/s44168-026-00389-9}},
  volume       = {{5}},
  year         = {{2026}},
}

@inbook{66299,
  author       = {{Herzig, Bardo}},
  booktitle    = {{The Age of EdTech: Bildungstechnologie im Spannungsfeld zwischen Innovation und Qualität }},
  editor       = {{Brüggemann, Tim  and Tuchscherer-Schad, Marie and Wiepcke, Claudia}},
  isbn         = {{978-3-658-49954-9}},
  pages        = {{395--411}},
  publisher    = {{Springer VS}},
  title        = {{{Bildungstechnologie in der schulischen Bildung}}},
  doi          = {{10.1007/9783658499556}},
  year         = {{2026}},
}

@inproceedings{66433,
  author       = {{Schiebel, Fabian Benedikt and Bodden, Eric}},
  booktitle    = {{40th European Conference on Object-Oriented Programming (ECOOP 2026)}},
  editor       = {{Krebbers, Robbert and Silva, Alexandra}},
  isbn         = {{978-3-95977-423-9}},
  issn         = {{1868-8969}},
  pages        = {{23:1–23:28}},
  publisher    = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}},
  title        = {{{Scaling Bottom-Up IFDS Taint Analysis with Optimized Data-Flow Encoding}}},
  doi          = {{10.4230/LIPIcs.ECOOP.2026.23}},
  volume       = {{372}},
  year         = {{2026}},
}

@article{66444,
  author       = {{Dechert, Christopher and Riese, Julia and Kenig, Eugeny}},
  issn         = {{0009-2509}},
  journal      = {{Chemical Engineering Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{A comprehensive numerical study of the wetting behavior in structured packings with a direct consideration of the packing microstructure}}},
  doi          = {{10.1016/j.ces.2026.124635}},
  year         = {{2026}},
}

@article{66541,
  abstract     = {{Expulsion in resistance spot welding (RSW) causes weld quality fluctuations and increases quality-control effort in high-volume manufacturing. Existing data-driven studies have mainly addressed post-occurrence expulsion detection, process-end classification, or the identification of influencing factors, whereas online monitoring requires short-term risk estimation before the event occurs. In this study, expulsion prediction is formulated as a sliding-window-based pre-expulsion risk estimation task for the currently welded spot. A physics-guided hybrid GRU-XGBoost ensemble is developed to combine temporal learning from dynamic resistance and electrode-force signals with process-physics-related scalar features describing heat input, resistance state, and force response. The framework was evaluated on 2730 valid welds, including 588 expulsion and 2142 non-expulsion welds, using weld-grouped five-fold cross-validation with fold-level working-point selection. The ensemble achieved an area under the ROC curve of 0.945 ± 0.004 and a weld-level recall of 90.6 ± 3.7% at an average false alarm rate of 9.8 ± 0.2%, outperforming both individual branches. For the 533 correctly warned expulsion welds, the median early-warning lead time was 56 ms. These results indicate that online, physically interpretable pre-expulsion risk prediction is feasible under low-false-alarm constraints within the investigated RSW configuration and provide a basis for future adaptive monitoring and control studies.}},
  author       = {{Yang, Keke and Li, Chong and Beck, Robert and Hein, David and Meschut, Gerson}},
  issn         = {{1526-6125}},
  journal      = {{Journal of Manufacturing Processes}},
  keywords     = {{Resistance spot welding, Expulsion prediction, Physics-guided machine learning, Hybrid ensemble modelling, Process monitoring}},
  pages        = {{135--153}},
  publisher    = {{Elsevier BV}},
  title        = {{{A physics-guided hybrid framework for online pre-expulsion prediction in resistance spot welding}}},
  doi          = {{10.1016/j.jmapro.2026.07.042}},
  volume       = {{174}},
  year         = {{2026}},
}

@misc{65788,
  author       = {{Azam, Mohammad Hamid}},
  title        = {{{Entwicklung einer wärmebildkamerabasierten Temperaturmesseinrichtung im Lasersinterverfahren}}},
  year         = {{2026}},
}

@inproceedings{66709,
  abstract     = {{In increasingly volatile and uncertain markets, corporate resilience has become a critical capability in strategic product planning. Companies face significant challenges in systematically monitoring and interpreting heterogeneous environmental data originating from diverse sources, formats, and temporal contexts. While predefined workflows and decision trees can support strategic analysis, they often lack the flexibility required to cope with dynamic market conditions and foresightrelated data from extreme dispersed and heterogeneous sources. This paper proposes a method to enhance corporate resilience through the application of generic, reusable AI-based workflows in strategic product planning. The approach integrates Data Science and Artificial Intelligence methods into modular, visually modelled workflows that enable hybrid human-AI decision-making. Based on a systematic literature review and an analysis of industrial challenges, key success factors and resilience criteria are identified. These insights are used to develop a method that supports internal and external analyses, scenario-based strategy development, and adaptive implementation monitoring within a generic workflow structure. The method leverages techniques such as machine learning and generative AI to process structured and unstructured data, identify patterns, and support real-time strategic assessments. Validation with decision-makers from medium-sized companies demonstrates improved transparency, repeatability, and cross-functional collaboration compared to predefined workflows.}},
  author       = {{Özcan, Deniz and Gräßler, Iris}},
  booktitle    = {{1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University}},
  editor       = {{Graessler, Iris}},
  location     = {{Paderborn}},
  publisher    = {{Universitätsbibliothek}},
  title        = {{{Corporate resilience through generic AI-based workflows in strategic product planning}}},
  doi          = {{10.17619/UNIPB/1-2636}},
  year         = {{2026}},
}

@inproceedings{66702,
  abstract     = {{Strategic product planning defines foresighted directions for product engineering by determining which ideas, technologies and concepts are pursued further. Decisions made in this phase strongly influence subsequent life cycle phases but are characterized by high uncertainty, fragmented information, and predominantly qualitative assessment practices. At the same time, increasing digitalization generates large, heterogeneous, and dynamic data from markets, engineering, usage, and sustainability domains. In this work, such information is understood as extreme data, as its heterogeneity, variety, and dynamics exceed the capabilities of traditional planning approaches. This paper investigates the potential of leveraging extreme data to strengthen hybrid decision support in strategic product planning. A structured literature review is conducted to identify key challenges. These challenges are analysed along the generic product life cycle to capture decision points, information flows, and information circularity. Relevant data sources are identified with respect to their relevance for strategic decisions. Based on this analysis, seventeen potentials for hybrid decision support are derived and clustered into five fields of action. The results indicate that extreme data can enhance strategic foresight, idea evaluation and portfolio decisions, lifecycle-spanning knowledge integration, engineering support for strategic decisions, and the adoption of AI-based methods.}},
  author       = {{Gräßler, Iris and Goldstein, Julius Hendrik}},
  booktitle    = {{1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University}},
  editor       = {{Gräßler, Iris}},
  location     = {{Paderborn}},
  publisher    = {{Universitätsbibliothek}},
  title        = {{{Hybrid decision support in strategic product planning}}},
  doi          = {{10.17619/UNIPB/1-2644}},
  year         = {{2026}},
}

@inproceedings{66547,
  abstract     = {{Tacit knowledge is particularly valuable in product engineering. Experiences reside in minds of employees and are not systematically documented but could have a significant influence on sustainable product engineering. Existing approaches do not offer sufficient support for harnessing technical tacit knowledge regarding sustainable product engineering. In this paper a three-step method is presented: The method contains knowledge acquisition, requirements extraction und requirements validation for quality assurance. Acquisition is performed by support artifacts like interview guidelines. Extraction is supported by Artificial Intelligence, converting statements into requirements. These requirements are validated using a specific questionnaire. The developed approach is applied in a funded project of the European Union (EU) with automotive industry partners. The method supports product engineers to collect tacit knowledge from experienced employees, transform unsystematic knowledge into standardized technical requirements and validate them. Application of this method enables creation of validated requirements that can be applied throughout the company and are not exclusively dependent on a single employee.}},
  author       = {{Gräßler, Iris and Mansheim, Johanna and Pfeifer, Jan Niklas}},
  booktitle    = {{1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University}},
  editor       = {{Graessler, Iris}},
  keywords     = {{Tacit knowledge, Sustainability, Product Engineering, Artificial Intelligence}},
  location     = {{Paderborn}},
  pages        = {{229--238}},
  publisher    = {{Universitätsbibliothek}},
  title        = {{{Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence}}},
  doi          = {{10.17619/UNIPB/1-2639}},
  volume       = {{1}},
  year         = {{2026}},
}

@inproceedings{66955,
  author       = {{Lutters, Nicole and Riese, Julia and Boz, Özgün Alkim}},
  booktitle    = {{Book of Full Paper 13th International Conference on Distillation & Absorption}},
  pages        = {{709--714}},
  title        = {{{Electrification of Separation Column with 3D-Printed Ceramic Packings}}},
  doi          = {{10.83455/2026DISTILLATIONADSORPTION}},
  year         = {{2026}},
}

@inproceedings{66954,
  author       = {{Hochhaus, Thorben and Riese, Julia and Grünewald, Marcus}},
  booktitle    = {{Book of Full Paper 13th International Conference on Distillation & Absorption}},
  pages        = {{727--732}},
  title        = {{{Screening for Heat Pump Integration Potentials in Chemical Plants}}},
  doi          = {{10.83455/2026DISTILLATIONADSORPTION}},
  year         = {{2026}},
}

@inproceedings{66956,
  author       = {{Riese, Julia}},
  booktitle    = {{Book of Full Paper 13th International Conference on Distillation & Absorption}},
  pages        = {{14--19}},
  title        = {{{Perspectives on Electrification and Flexibility for Distillation and Absorption Processes}}},
  doi          = {{10.83455/2026DISTILLATIONADSORPTION}},
  year         = {{2026}},
}

@inproceedings{66957,
  author       = {{Hassan Nezhad, Elham and Grabo, Matti and Kirschbaum, Julia and Riese, Julia}},
  title        = {{{A physics-enhanced neural network approach for packed bed latent heat storage systems incorporating hysteresis and subcooling}}},
  doi          = {{SDEWES2026.0119}},
  year         = {{2026}},
}