@article{66746,
  abstract     = {{<jats:p>Several recent proposals in integrated photonics concern components that operate on so-called semi-guided waves. Given a dielectric multilayer slab structure, these are wave solutions that propagate along the slab with the functional dependence of ordinary harmonic plane waves, but with modal confinement in the direction perpendicular to the slab plane. While the in-plane unbounded waves are valid as a theoretical construct, practical devices will have to work with laterally confined optical fields. To that end we consider Gaussian superpositions of semi-guided waves, for a range of in-plane propagation angles, here named “semi-guided Gaussian beams.” This paper collects a series of relations that characterize these wave bundles, with emphasis on their divergence. The expressions resemble standard results for optical Gaussian beams, with modifications originating from the 1-D guiding and 1-D bundling. Examples for a high-contrast silicon-on-insulator slab at a typical telecom wavelength are discussed.</jats:p>}},
  author       = {{Hammer, Manfred and Förstner, Jens}},
  issn         = {{0740-3224}},
  journal      = {{Journal of the Optical Society of America B}},
  keywords     = {{tet_topic_waveguide}},
  number       = {{9}},
  publisher    = {{Optica Publishing Group}},
  title        = {{{Semi-guided Gaussian beams}}},
  doi          = {{10.1364/josab.606932}},
  volume       = {{43}},
  year         = {{2026}},
}

@article{66870,
  abstract     = {{Janus metasurfaces have attracted considerable attention in encrypted communication, imaging, and display due to their unusual bidirectional asymmetric optical manipulation characteristics. Particularly, their multifunctionalization is of great significance for enhancing the compactness and integration of optical systems. However, the realization of multifunctional Janus metasurfaces in the optical band still faces enormous difficulties and challenges, which are essentially limited by the anti-error design and processing methods of multi-layer cascade metasurfaces. Here, a triple-layer Janus metasurface based on cascaded plasmonic nano-antenna arrays fully buried in SiO2 is constructed. Among them, the cascaded plasma nano-antenna consists of two types of enantiomers for each wavelength. Each enantiomer is fabricated with two layers of L-shaped nanostructures with phase modulation and one layer of dimer nanostructures with polarization selection stacked alternately along the optical axis. We experimentally show that the Janus metasurface achieves bidirectional asymmetric multi-channel holographic encryption, simultaneously using propagation direction, phase, polarization, and wavelength for the first time in the near-infrared band, which is expected to provide a frontier route for multifunctional optical displays, high-level optical information encryption, and large-capacity full-duplex communication.}},
  author       = {{Wang, Guocui and Geromel, René and Wei, Qunshuo and Zhao, Ruizhe and Li, Xiaowei and Zentgraf, Thomas and Huang, Lingling}},
  issn         = {{2577-5421}},
  journal      = {{Advanced Photonics}},
  number       = {{05}},
  pages        = {{1--11}},
  publisher    = {{SPIE-Intl Soc Optical Eng}},
  title        = {{{Asymmetric multi-channel holography by cascaded plasmonic Janus metasurfaces}}},
  doi          = {{10.1117/1.ap.8.5.056006}},
  volume       = {{8}},
  year         = {{2026}},
}

@inbook{66921,
  author       = {{Meier, Jana and Vogelsang, Christoph}},
  booktitle    = {{Handlungsorientierung in der Ausbildung von Lehrkräften und pädagogischen Fachkräften - Konzeptionen und Forschungsperspektiven}},
  editor       = {{Vogelsang, Christoph and Grotegut, Lea and Bruns, Julia and Riese, Josef and Fechner, Sabine}},
  isbn         = {{978-3-8188-0105-2}},
  pages        = {{31--47}},
  publisher    = {{Waxmann}},
  title        = {{{Erfassung der Verbreitung und Akzeptanz simulationsbasierter Lehr- und Prüfungsformate im Lehramtsstudium aus der Perspektive von Lehrenden}}},
  doi          = {{https://doi.org/10.31244/9783818851057}},
  volume       = {{2}},
  year         = {{2026}},
}

@phdthesis{66951,
  author       = {{Jolmes, Maike}},
  title        = {{{Gaining Insights from the Outside: Diaspora Short Stories in the EFL Classroom}}},
  doi          = {{10.17619/UNIPB/1-2678}},
  year         = {{2026}},
}

@misc{65325,
  author       = {{Peckhaus, Volker}},
  booktitle    = {{Neue Deutsche Biographie. NDB-online, veröffentlicht 01.04.2026.}},
  title        = {{{"Gödel, Kurt Friedrich"}}},
  year         = {{2026}},
}

@inproceedings{67019,
  abstract     = {{<jats:p>In order to make rail transportation more attractive compared to motorized private transport, intelligent solutions are required across the entire mobility chain. Train stations, as places of connection and transfer, offer the greatest potential in this context. Thus, the deployment of autonomous service robots at train stations offers a wide range of possibilities for supporting passengers on their journeys by rail, for example, by providing information, accompanying them to the next link in the mobility chain, or transporting their luggage. Since such robots are battery-powered, one challenge is to carefully plan activities based on the remaining battery capacity. Therefore, the aim of this work is to predict battery usage and, in turn, battery state, in order to inform passengers, and to enable intelligent planning of its usage.In this work, realistic operational conditions of a service robot are systematically assessed through measurements on the service robot itself and through passenger surveys at a train station. The estimated operational conditions are experimentally replicated to simulate the heterogeneous use of the battery pack, while acquiring condition monitoring data throughout its use. The battery pack is modeled based on the single particle model, which can robustly predict the battery state by simulating its usage considering past operational conditions. The approach is validated using experimental data obtained from simulating realistic usage. On the one hand, additional battery packs are employed, and on the other hand, the load is varied. The advantage of this approach lies in the ability to account for future changes, such as higher loads than anticipated, to provide robust predictions.This enables the intelligent use of service robots, offering passengers an improved service experience at train stations.</jats:p>}},
  author       = {{Löwen, Alexander and Aleman-Gallegos, Enrique and Aimiyekagbon, Osarenren and Wachsmuth, Sven and Sextro, Walter}},
  booktitle    = {{PHM Society European Conference}},
  issn         = {{2325-016X}},
  location     = {{Oslo}},
  number       = {{1}},
  pages        = {{1--10}},
  publisher    = {{PHM Society}},
  title        = {{{Prediction and simulation of battery pack usage for intelligent service robot deployment at a train station}}},
  doi          = {{10.36001/phme.2026.v9i1.4952}},
  volume       = {{9}},
  year         = {{2026}},
}

@techreport{67148,
  abstract     = {{Laser Powder Bed Fusion (PBF-LB/M) enables significant performance enhancements in tool and mold making via the integration of complex, conformal cooling channels. However, high manufacturing costs of monolithic components and material-specific defect susceptibility still hinder widespread industrial adoption. Within the collaborative project WerKo3D, the scaling, process qualification, and structural design of the novel tool steel Printium 13 were successfully investigated to lower market entry barriers for additive tooling applications. An industrial batch of 50 kg of Printium 13 powder was produced via vacuum inert gas atomization and thoroughly characterized. Utilizing a Design of Experiments (DoE) approach on an SLM 280 system, an optimized process window was established, yielding a relative density of about 99.99%. Subsequent heat treatment parameterizations revealed a superior mechanical property profile combining high hardness with enhanced impact toughness compared to conventional AISI H13 tool steel, alongside ultimate tensile strengths up to 1,600 MPa. To reduce build times and material consumption, a segmented shell-core tool design was conceptualized and numerically optimized via coupled CFD and FEM simulations. The functional demonstrator - a sprue insert for aluminum die casting - was additively manufactured without cracking, heat-treated, and finish-machined to final dimensions. Furthermore, a two-day training and knowledge-transfer program was realized to disseminate design guidelines to industry stakeholders. The findings validate the complete process chain from powder atomization to crack-free hybrid tool manufacturing.}},
  author       = {{Marten, Thorsten and Hengsbach, Florian and Jungeilges, André}},
  pages        = {{25}},
  publisher    = {{Hannover : Technische Informationsbibliothek}},
  title        = {{{Werkzeugbau-Revolution mittels innovativem Konstruktionsdesign und neuartigem Werkzeugstahl für den 3D-Druck (WerKo3D)}}},
  year         = {{2026}},
}

@book{67145,
  abstract     = {{Inklusion ist ein menschenrechtlich gebotenes Ziel und eine gesamtgesellschaftliche Aufgabe, mit der sich u.a. Akteur*innen in pädagogischen Handlungsfeldern und Institutionen sowie in der empirischen Bildungsforschung befassen. 
Dieser Band ist aus dem vom Bundesministerium für Bildung, Familie, Senioren, Frauen und Jugend geförderten Projekt Paderborner Perspektiven auf Inklusion – interdisziplinär, diskursiv, praxisbezogen – Kolloquium, Kolleg, Kamingespräche (PPIK) heraus entstanden. Die Beiträge aus Fachdidaktik, Erziehungswissenschaft, Psychologie, Schul-, Inklusions- und Sonderpädagogik blicken aus verschiedenen Perspektiven auf Strukturen, Kulturen und Praktiken von Inklusion und deren Umsetzung. Sie zeigen, wie interdisziplinäre Forschung, Kooperation und Reflexion zur Professionalisierung von (zukünftigen) Lehrkräften und Wissenschaftler*innen beitragen kann.
Es handelt sich um den dritten Band der Reihe Paderborner Beiträge zur Bildungsforschung und Lehrkräftebildung, die von der PLAZ – Professional School of Education herausgegeben wird.}},
  editor       = {{Häsel-Weide, Uta and Kottmann, Brigitte and Aschhoff-Hartmann, Stefanie and Neumann, Phillip and Tenberge, Claudia}},
  isbn         = {{9783818801267}},
  publisher    = {{Waxmann Verlag GmbH}},
  title        = {{{Perspektiven auf Inklusion im interdisziplinären Diskurs}}},
  doi          = {{10.31244/9783818851262}},
  year         = {{2026}},
}

@unpublished{67147,
  abstract     = {{We introduce the non-symmetric heat and Poisson semigroups associated with the Heckman-Opdam Laplacian in the compact setting. Based on the Poisson semigroup, we study several Littlewood-Paley $g$-functions in the spirit of Stein's work for compact Lie groups and prove their $L^{p}$-boundedness for $1<p<\infty$. As an application, we define associated Riesz transforms and Riesz potentials and prove their $L^{p}$-continuity for $1<p<\infty$. 
  Passing to the average with respect to the action of the associated reflection group, our framework in particular covers the Littlewood-Paley-Stein theory for Jacobi polynomial expansions and corresponding direct product settings as special cases.}},
  author       = {{Langen, Lukas and Rösler, Margit}},
  booktitle    = {{arXiv:2609.12722}},
  pages        = {{29}},
  title        = {{{Littlewood-Paley Theory For Orthogonal Expansions Associated With Root Systems}}},
  year         = {{2026}},
}

@unpublished{66550,
  abstract     = {{For an arbitrary reduced root system, we give upper bounds for the Dunkl kernel with regular spectral parameter and its derivatives, which are uniform in the spatial variable. These estimates generalize well-known sharp upper bounds for classical one-variable Bessel functions and for spherical functions of Cartan motion groups. As a consequence, we prove that the representing measure of Dunkl's intertwining operator is absolutely continuous with respect to the Lebesgue measure for multiplicities $k> 1/2$ and generic spectral parameter. This settles a conjecture posed in [RdJ02] at least for $k>1/2$.}},
  author       = {{Langen, Lukas}},
  booktitle    = {{arXiv:2607.02176}},
  pages        = {{31}},
  title        = {{{Uniform bounds on the Dunkl kernel}}},
  year         = {{2026}},
}

@article{67152,
  author       = {{Fuchs, Christian}},
  journal      = {{Thesis Eleven}},
  title        = {{{The Toxic Schema: How Nick Land’s Dark Enlightenment Works. }}},
  doi          = {{10.1177/07255136261487456 }},
  year         = {{2026}},
}

@inproceedings{67235,
  abstract     = {{Die Asset Administration Shell (AAS) gilt als ein vielversprechender Ansatz für die industrielle Umsetzung eines digitalen Zwillings und somit für eine Erhöhung des Automatisierungsgrades. Eine innovative Anwendung der AAS stellt hierbei die hybride, datengetriebene Werkzeugauslegung von Umformprozessen dar. Der hybride Ansatz bezieht hierbei neben klassischen Modelldaten ebenfalls reale Prozessdaten sowie Erfahrungswissen mit ein. Hierdurch entsteht ein heterogener Datensatz, bestehend aus einer hohen Anzahl an Daten mit unterschiedlichen Modalitäten. Dieser Beitrag untersucht anhand des Stanzbiegeprozesses eine Automatisierungsarchitektur mittels AAS-Einbindung, die die heterogenen Datensätze automatisiert akquiriert, verarbeitet und maschinenlesbar zur Verfügung stellt. Hierdurch wird einem Machine Learning Modul ermöglicht, die Wirkzusammenhänge zwischen Prozessparametern und Messdaten zu erlernen und anhand dessen eine optimierte Werkzeugauslegung für spezifische Produktgeometrien auszugeben. Ein Fokus liegt auf der Schnittstelle der heterogenen Prozessdatenrepräsentation, mit der sowohl Anwender als auch ML-Modul interagieren. Diesbezüglich werden zwei Ansätze analysiert und hinsichtlich ihrer Performanz sowie Skalierbarkeit bewertet, um so die Basis für ein anwenderorientiertes Assistenzsystems zur Werkzeugauslegung für Umformprozesse zu bilden.}},
  author       = {{Peters, Henning and Kersting, Lukas and Trächtler, Ansgar}},
  booktitle    = {{Entwurf komplexer Automatisierungssysteme (EKA)}},
  editor       = {{Underberg, Lisa}},
  location     = {{Magdeburg}},
  publisher    = {{Otto von Guericke University Library}},
  title        = {{{Automatisierung der Verarbeitung heterogener Daten für eine datengetriebene Werkzeugauslegung von Stanzbiegeprozessen mittels Asset Administration Shell}}},
  doi          = {{10.25673/123346}},
  year         = {{2026}},
}

@article{67233,
  abstract     = {{<jats:p>A common challenge of punch-bending is the control and compensation of process deviations which are induced, e.g., by different material batches. The resulting deviations are currently countered iteratively using expert knowledge in the design phase as well as during the production process. However, this is not always successful due to the complex interactions between semi-finished product properties and forming tools. To automate the optimization of tool geometries and process adjustments, an accurate prediction model of correlations between process/tool parameters and product properties is necessary. In that regard, an application programming interface (API) aligned with the Asset Administration Shell (AAS) specification is developed utilizing a hybrid data-driven approach. It enables the transformation of various data formats e.g., from sensor and simulation data into a machine-readable structure. The API is linked to a digital twin and a database, to automatically gather requested information and provide the new structured data to a machine learning (ML) model. To validate the developed method, hybrid punch-bending data is automatically transferred to an ML model which then returns tool geometry suggestions for a defined product geometry.</jats:p>}},
  author       = {{Peters, Henning and Mazur, Andreas and Chaudhary, Brijesh and Kersting, Lukas and Trächtler, Ansgar and Hammer, Barbara}},
  issn         = {{1662-9795}},
  journal      = {{Key Engineering Materials}},
  location     = {{Thessaloniki}},
  pages        = {{43--54}},
  publisher    = {{Trans Tech Publications, Ltd.}},
  title        = {{{Method of an Automated Tool Design of Punch-Bending Processes Using the Asset Administration Shell}}},
  doi          = {{10.4028/p-yfy9oq}},
  volume       = {{1049}},
  year         = {{2026}},
}

@article{67272,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>This survey paper opens a Special Issue of ZDM – Mathematics Education on “Enhancing data literacy for citizenship: Innovative approaches in data science and statistics education.” In this paper we aim to conceptualize ‘data literacy for citizenship’ (DataLitCit), going beyond prior conceptualizations of statistical and data literacies. We propose a working definition of DataLitCit that integrates notions of citizenship with the landscape of statistical and data literacies, and elaborate on four key areas that we consider particularly relevant for developing DataLitCit, including: criticality, data argumentation and evidentiary practices, models and modeling, and creating a bridge to AI literacy. We end with a discussion of the key contributions of the paper, and implications for education and future research directions.</jats:p>}},
  author       = {{Weiland, Travis and Biehler, Rolf and Gal, Iddo and Pfannkuch, Maxine}},
  issn         = {{1863-9690}},
  journal      = {{ZDM – Mathematics Education}},
  number       = {{6}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Conceptualizing Data Literacy for Citizenship}}},
  doi          = {{10.1007/s11858-026-01843-y}},
  volume       = {{58}},
  year         = {{2026}},
}

@article{67277,
  abstract     = {{  Augmented Reality (AR) enables the presentation of models at the submicroscopic level during chemical hands-on experiments and may thus support learners in connecting macroscopic observations, submicroscopic processes, and symbolic representations. Such connections are essential for understanding chemical phenomena, yet many students struggle to establish them, leading to fragmented or purely descriptive explanations. However, little is known about how AR influences the structure and quality of learner-generated explanations during experimentation. In this quasi-experimental pre-post study, three conditions were compared in grade 11 chemistry classes: AR, animation, and filmstrip. Students (N = 104) worked in pairs on two acid-base experiments and created explanatory screencasts, which were analyzed in two complementary ways: network analysis was used to examine transitions between representational levels, while a separate holistic coding scheme was applied to assess overall explanatory quality. Across both experiments, students in the AR group integrated submicroscopic entities into their explanations more frequently than students in the other groups. However, this increased integration was not consistently associated with higher explanatory quality. The findings suggest that AR can foster representational integration, but that explicit scaffolding might be necessary to translate this into high-quality causal explanations.}},
  author       = {{Peeters, Hendrik and Habig, Sebastian and Fechner, Sabine}},
  issn         = {{1059-0145}},
  journal      = {{Journal of Science Education and Technology}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{The influence of augmented reality on learner-generated explanations during chemical hands-on experiments}}},
  doi          = {{10.1007/s10956-026-10354-0}},
  year         = {{2026}},
}

@book{65644,
  abstract     = {{<jats:p>Eine zentrale Herausforderung in der Professionalisierung pädagogischer Fach- und Lehrkräfte besteht in der Relation von eher theoretischen und praktischen Ausbildungsbestandteilen. Beispielsweise fühlen sich angehende Lehrkräfte durch ihr Studium häufig nicht ausreichend auf die beruflichen Anforderungen vorbereitet. Daher wird verstärkt versucht, Curricula von Ausbildungs- und Studiengängen deutlicher an den tatsächlichen professionellen Handlungsanforderungen zu orientieren und auch in frühen Ausbildungsphasen verstärkt Elemente beruflicher Praxis zu integrieren. 
Dieser Band nimmt die Handlungsorientierung in der Ausbildung von Lehrkräften und pädagogischen Fachkräften theoretisch-konzeptionell sowie empirisch in den Blick. Zudem werden innovative Lehransätze aufgezeigt, die den Fokus auf eine Stärkung einer solchen Handlungsorientierung legen, z.B. durch simulationsbasierte Lern- und Prüfungsformate.
Es handelt sich um den zweiten Band der Reihe Paderborner Beiträge zur Bildungsforschung und Lehrkräftebildung, die von der PLAZ – Professional School of Education herausgegeben wird.</jats:p>}},
  editor       = {{Vogelsang, Christoph and Grotegut, Lea and Bruns, Julia and Riese, Josef and Fechner, Sabine}},
  isbn         = {{9783818801052}},
  publisher    = {{Waxmann Verlag GmbH}},
  title        = {{{Handlungsorientierung in der Ausbildung von Lehrkräften und pädagogischen Fachkräften. Konzeptionen und Forschungsperspektiven}}},
  doi          = {{10.31244/9783818851057}},
  year         = {{2026}},
}

@article{62948,
  author       = {{Pollmeier, Pascal and Ponath, Jonas and Bohrmann-Linde, Claudia and Rubner, Isabel and Sommer, Katrin and Fechner, Sabine}},
  journal      = {{CHEMKON}},
  keywords     = {{Digital, Digitalisierung, Künstliche Intelligenz, KI, Messsensoren, Fortbildung, Lehrkräfte, Chemie}},
  number       = {{5}},
  pages        = {{138--144}},
  title        = {{{Digital und praxisnah: Was Chemielehrkräfte sich von (digitalisierungsbezogenen) Fortbildungen wünschen}}},
  doi          = {{https://doi.org/10.1002/ckon.70019}},
  volume       = {{33}},
  year         = {{2026}},
}

@book{62821,
  editor       = {{Vogelsang, Christoph and Grotegut, Lea and Bruns, Julia and Riese, Josef and Fechner, Sabine}},
  publisher    = {{Waxmann}},
  title        = {{{Handlungsorientierung in der Ausbildung von Lehrkräften und pädagogischen Fachkräften}}},
  doi          = {{https://doi.org/10.31244/9783818851057}},
  volume       = {{2}},
  year         = {{2026}},
}

@article{62957,
  author       = {{Elsner, Julia and Tenberge, Claudia and Fechner, Sabine}},
  journal      = {{Zeitschrift für Didaktik der Naturwissenschaften}},
  number       = {{1}},
  pages        = {{1--17}},
  title        = {{{Modellieren und Denken im Diskontinuum}}},
  doi          = {{10.1007/s40573-026-00194-1}},
  volume       = {{32}},
  year         = {{2026}},
}

@inproceedings{67295,
  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       = {{Gräßler, Iris and Özcan, Deniz}},
  booktitle    = {{1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University}},
  editor       = {{Gräßler, Iris}},
  location     = {{Paderborn}},
  publisher    = {{LibreCat University}},
  title        = {{{Corporate resilience through generic AI-based workflows in strategic product planning}}},
  doi          = {{10.17619/UNIPB/1-2636}},
  volume       = {{1}},
  year         = {{2026}},
}