@unpublished{67088,
  abstract     = {{We prove quantitative lower bounds on the semidefinite extension complexity of the set of separable quantum states on $\mathbb{C}^d\otimes\mathbb{C}^d$. We consider semidefinite programs (SDPs) that approximate the maximum acceptance probability of a measurement over separable states, the optimization problem underlying QMA(2). In the extended-formulation model of Harrow, Natarajan, and Wu (HNW), all measurements share a common feasible region and an objective-independent embedding of product states that exactly reproduces their acceptance probabilities. For every $0<θ<2/7$, there are constants $c_θ,a_θ>0$ such that, for sufficiently large $d$, any such SDP with uniform additive error $0<a\le a_θ$ has size at least $d^{c_θ\min\{a^{-1/3},d^θ\}}$. The bound applies at sufficiently small constant error, is superpolynomial in $d$ whenever $a=o(1)$, and becomes $d^{Ω(d^θ)}$ when $a\le d^{-3θ}$, improving HNW's quasipolynomial bound at inverse- square error. The same bound holds for any SDP-representable convex set of states that contains all separable states and lies within trace distance $a$ of them, giving a quantitative counterpart to Fawzi's theorem that the separable set has no exact semidefinite representation. Our proof combines the quantitative pseudo-density theorem of Lee, Raghavendra, and Steurer with explicit block-positive operators and Chebyshev amplification. Our main results are supported by Lean proofs.}},
  author       = {{Gharibian, Sevag and Hecht, Carsten and Rudolph, Dorian}},
  booktitle    = {{arXiv:2609.09033}},
  title        = {{{Semidefinite extension complexity of the separable set, with applications to approximate disentanglers}}},
  year         = {{2026}},
}

@unpublished{67136,
  abstract     = {{A weighted dynamical version $\mathbf{Z}_f$ of the classical Ihara zeta function is presented on connected finite regular graphs, expressed in terms of weighted periodic orbit data. We establish its meromorphic continuation, with poles given by the resonances of the associated non-backtracking transfer operator acting on a suitable Banach space, and compute its residues. At simple spectral parameters, the residue of $\mathbf{Z}_f$ is identified with the invariant Ruelle distribution on the graph phase space. Combining this result with a relation obtained by Arends-Palmirotta, we further derive Patterson-Sullivan and Wigner residue formulae. This provides a finite-graph analogue of residue formulae for weighted dynamical zeta functions for geodesic flow on rank one locally symmetric spaces, in the spirit of Schütte-Barkhofen-Weich.}},
  author       = {{Palmirotta, Guendalina}},
  pages        = {{53}},
  title        = {{{Residues of weighted dynamical Ihara zeta functions on finite regular graphs}}},
  year         = {{2026}},
}

@book{67137,
  author       = {{Garske, Volker}},
  isbn         = {{978-3-643-15874-1}},
  publisher    = {{LIT}},
  title        = {{{Josef, der Despot. Theologische und didaktische Reflexionen über die Verklärung eines biblischen Helden in aktuellen Materialien für den Religionsunterricht }}},
  year         = {{2026}},
}

@article{67139,
  author       = {{Schmitt-Richter, Lena Katharina and Wüllner Öztüter, Sabrina and Ebeling, Muna}},
  issn         = {{0176-179X}},
  journal      = {{PädagogikUNTERRICHT. Die Fachzeitschrift für die pädagogische Fächergruppe.}},
  number       = {{2-3}},
  pages        = {{75--81}},
  title        = {{{Einblicke in die schulinterne Curriculumentwicklung – Der Schulversuch an der Maria-Montessori-Gesamtschule in Düsseldorf}}},
  volume       = {{46}},
  year         = {{2026}},
}

@inbook{67024,
  author       = {{Leinfellner, Stefanie}},
  booktitle    = {{Macht und Partizipation in gesellschaftlichen Transformationsprozessen}},
  editor       = {{Hansen, Christin and Schreckenberg, Carolin and Treder, Alexandra}},
  publisher    = {{wbg}},
  title        = {{{Partizipation, Geschlecht und ,Holding steady' in wissenschaftlichen Beschäftigungsverhältnissen}}},
  volume       = {{4}},
  year         = {{2026}},
}

@article{67161,
  abstract     = {{<jats:p>Optimization algorithms contain parameters that greatly influence their behavior. Finding the right settings for parameters through automated algorithm configuration has become a critical component of designing competitive algorithms. While traditional offline configurators tackle this problem by finding one configuration that works well for a set of instances, instance-specific algorithm configuration utilizes features of the instances to provide configurations that are tailored to each instance to maximize performance. We propose the first instance-specific algorithm configurator based on deep reinforcement learning that can be used in general algorithm configuration settings. Our method is able to handle large, mixed, discrete and continuous search spaces and only requires a small number of instances for training. Not only does it select an individual configuration for every instance, it also selects configurations from a much broader range. We show that our configurator provides improvements over the state-of-the-art instance-specific configurators ISAC++ and Hydra on a wide range of problem domains.</jats:p>}},
  author       = {{Schede, Elias and Seiler, Moritz Vinzent and Mensendiek, Carolin and Tierney, Kevin and Trautmann, Heike}},
  issn         = {{2688-299X}},
  journal      = {{ACM Transactions on Evolutionary Learning and Optimization}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{OPTICAT: A Deep Reinforcement Learning Framework for Instance-Specific Algorithm Configuration}}},
  doi          = {{10.1145/3844954}},
  year         = {{2026}},
}

@inproceedings{67156,
  author       = {{Haak, Anselm and Meier, Arne and Rao B. V., Raghavendra}},
  booktitle    = {{to appear}},
  title        = {{{On k-Bounded Nondeterminism for Branching Programs and Circuits}}},
  year         = {{2026}},
}

@article{60537,
  author       = {{Flath, Beate}},
  journal      = {{~Vibes - The IASPM D-A-CH Series}},
  location     = {{Zürich }},
  pages        = {{202--218}},
  title        = {{{Livemusikkulturen, Virtualitäten und Metamorphosen: Perspektiven auf das kulturökonomische Konzept der Baumol’schen Kostenkrankheit (im Erscheinen)}}},
  volume       = {{4}},
  year         = {{2026}},
}

@article{67183,
  author       = {{Topalovic, Elvira}},
  journal      = {{Der Deutschunterricht}},
  number       = {{3}},
  pages        = {{90 -- 94}},
  publisher    = {{Friedrich}},
  title        = {{{Durchgängige Sprach- und Demokratiebildung in der Schule. Welches Potenzial hat der "Referenzrahmen zu Kompetenzen für eine demokratische Kultur" (RFCDC)?}}},
  year         = {{2026}},
}

@inbook{60931,
  author       = {{Flath, Beate}},
  booktitle    = {{Clubsterben: Sozioökonomischer Wandel und urbane Musikkulturen}},
  editor       = {{Fischer, Michael  and Rommelspacher, Lorenz  and Lücke, Martin }},
  location     = {{Albert-Ludwigs-Universität Freiburg}},
  pages        = {{19--33}},
  title        = {{{Nachhaltiges Clubsterben? Überlegungen zu Kommodifizierung und Nachhaltigkeit im Kontext des Clubsterbens in Deutschland (im Erscheinen)}}},
  year         = {{2026}},
}

@article{67185,
  author       = {{Eckel, Julia}},
  journal      = {{montage AV (Schwerpunkt: Animation Redux) }},
  number       = {{01}},
  pages        = {{99--120}},
  title        = {{{Anim:AI:tion. Animationstheoretische Perspektiven auf generative KI}}},
  volume       = {{35}},
  year         = {{2026}},
}

@inbook{67190,
  abstract     = {{he recent surge of interest in eXplainable Artificial Intelligence (XAI) has led to a growing focus on incorporating social insights into XAI and grounding explainability in social interaction. This has given rise to the concept of Social XAI. However, ontological modelling of the Social XAI framework remains limited. In particular, there is a lack of models that capture the progressivity of explanation processes in terms of the changes that occur. This paper introduces the Social XAI Ontology, a BFO-based reference ontology. The ontology models a variety of entities involved in the process of explanation. First, it provides a model of the participants in explanatory dialogues, such as artificial explainers and human explainees, and the roles they may take. Then, it introduces a rich set of explanatory moves that explainers and explainees perform. The paper further presents ontological accounts of four types of context that are central to real-world Social XAI projects. Furthermore, it provides an ontological account of different dimensions of adaptivity, which is considered to be an essential prerequisite for realizing Social XAI systems. Finally, the paper revisits two existing models of understanding in Social XAI by applying a recent theory of change. The paper concludes by discussing use cases for the Social XAI Ontology.}},
  author       = {{Booshehri, Meisam and Buschmeier, Hendrik and Cimiano, Philipp}},
  booktitle    = {{Formal Ontology in Information Systems: Proceedings of the 16th International Conference}},
  location     = {{Vitória, ES, Brazil}},
  pages        = {{181–198}},
  publisher    = {{IOS Press}},
  title        = {{{An Ontology of Explanation for Social Explainable Artificial Intelligence}}},
  doi          = {{10.3233/FAIA260785}},
  year         = {{2026}},
}

@inproceedings{67194,
  abstract     = {{Efficient thermal management in vehicles is becoming increasingly critical due to stricter energy efficiency requirements and rising passenger expectations for comfort. Conventional heating, ventilation, and air conditioning (HVAC) systems rely on numerous air outlet temperature sensors, which add significant costs at scale. This study introduces a hybrid virtual sensor concept that combines physics-based mathematical modeling with data-driven methods to address this challenge. A detailed physical model predicts air outlet temperatures, while neural networks capture unmodeled heat exchanges and environmental disturbances. Two hybrid strategies are explored: one augments the physical model with a neural network to learn residual heat flows, and the other employs an adiabatic physical model enhanced by a neural network that maps the total environmental heat exchange, supported by a disturbance observer for accurate heat flow estimation. Evaluation using measurement data from a real test vehicle in a simplified two-vent scenario demonstrates that hybrid virtual sensors can provide reliable temperature estimates, reduce reliance on hardware sensors, and maintain high control performance, highlighting the potential of integrating physics-based and machine learning methods in vehicle climate control systems.}},
  author       = {{Timmermann, Julia Magdalena and Biemelt, Patrick and Li, Changcheng and Trächtler, Ansgar and Pankratz, Eduard}},
  booktitle    = {{2026 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)}},
  isbn         = {{979-8-3195-3612-9}},
  issn         = {{ 2159-6255 }},
  location     = {{Genova, Italy}},
  publisher    = {{IEEE}},
  title        = {{{Hybrid modeling as a virtual sensor concept for automotive HVAC outlet temperature estimation}}},
  doi          = {{10.1109/aim65483.2026.11658345}},
  year         = {{2026}},
}

@inproceedings{67211,
  author       = {{Miller, Thomas and Yigitbas, Enes and Heveling, Robin}},
  booktitle    = {{Proceedings of the 10th International Conference on Computer-Human Interaction Research and Applications (CHIRA)}},
  publisher    = {{Springer}},
  title        = {{{Virtual Reality as a Lens to Examine User Attitudes Toward Autonomous Driving in Realistic Traffic}}},
  year         = {{2026}},
}

@inproceedings{67212,
  author       = {{Kanwischer , Jannes and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the 10th International Conference on Computer-Human Interaction Research and Applications (CHIRA)}},
  publisher    = {{Springer}},
  title        = {{{Exploring the Effects of Controlled Pain Stimuli on User Immersion and Enjoyment in VR Gaming}}},
  year         = {{2026}},
}

@inproceedings{67213,
  author       = {{Ates, Ugur and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the 10th International Conference on Computer-Human Interaction Research and Applications (CHIRA)}},
  publisher    = {{Springer}},
  title        = {{{Learning about Islam Through Virtual Reality: Immersive vs. Non-Immersive Environments}}},
  year         = {{2026}},
}

@inproceedings{67214,
  author       = {{Hamm, Fabian and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the 15th Games and Learning Alliance conference (GALA 2026)}},
  publisher    = {{Springer}},
  title        = {{{A Gamified VR Escape Room for VR Privacy Awareness Education}}},
  year         = {{2026}},
}

@inproceedings{67208,
  abstract     = {{Produktfälschungen stellen die Industrie vor große Herausforderungen, da sie das Risiko eines Reputationsverlustes für die Produzenten bergen sowie im schlimmsten Fall die Sicherheit der Produktnutzer gefährden. Ein möglicher Ansatz, um Bauteilfälschungen z.B. in der Luft- und Raumfahrtindustrie sowie im Automotive-Bereich künftig zu verhindern, besteht darin, einen unverwechselbaren, unumkehrbaren „Identifier“ in das Originalbauteil zu integrieren. Dies könnte beispielsweise ein unsichtbarer magnetischer Bar- oder QR-Code sein, der während der Fertigung direkt in das Bauteil integriert wird. Die gezielte Beeinflussung der magnetischen Eigenschaften während des Fertigungsprozesses von Bauteilen durch die Umformtechnik stellt nach aktuellem Stand der Technik eine anspruchsvolle Herausforderung dar. Ein vielversprechender Forschungsansatz zur Lösung dieses Problems ist das Konzept der sogenannten Eigenschaftsregelung. Bei diesem Konzept werden die Bauteileigenschaften mittels intelligenter Sensoren direkt während der Fertigung gemessen und durch die Maschinenaktorik in den Prozess zurückgekoppelt. Dies ermöglicht eine dynamische Anpassung der Fertigungsparameter, um die gewünschten Eigenschaften des Bauteils zu erreichen. Dieser Beitrag beleuchtet am Beispiel des Drückwalzprozesses für metastabil-austenitischer Edelstähle, wie mit einer solchen Eigenschaftsregelung definierte und gradierte Eigenschaftsstrukturen z.B. zur Verhinderung von Produktfälschungen hergestellt werden können. Eine Hauptherausforderung bei der Entwicklung der Eigenschaftsregelung für das Drückwalzen metastabil-austenitischer Edelstähle ist insbesondere die Online-Messbarkeit des Gefüges in-situ im Prozess. Hierzu ist innerhalb der Eigenschaftsregelung eine indirekte, zerstörungsfreie Messung mittels einer neuartigen, intelligenten Softsensorik unabdingbar. Diese Sensorik besitzt eine charakteristische Dynamik und Ortsauflösung, welche mittelbar die Auflösung der geregelt erzeugten Gradierungen beeinflusst, d.h. die Schärfe der Abgrenzung zwischen martensitischen und nicht-martensitischen Bereichen. Dieser Aspekt wird Rahmen des vorliegenden Beitrags im Rahmen einer Simulationsstudie näher beleuchtet und ein Quervergleich zwischen Sensordynamik, Regelungsbandbreite und resultierenden und der erreichbaren Gradierungsauflösung gezogen. Insbesondere der letzte Aspekt ist von hoher Relevanz für einen etwaigen zukünftigen Technologietransfer der smarten, funktionsintegrierten Strukturen von der Forschung in die industrielle Anwendung.}},
  author       = {{Kersting, Lukas and Arian, Bahman and Rozo Vasquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}},
  editor       = {{Herold, Sven and Monner, Hans Peter}},
  location     = {{Darmstadt}},
  pages        = {{71--81}},
  title        = {{{Das Drückwalzen mit Eigenschaftsregelung - mittels intelligenter Sensorik zu smarten, funktionsintegrierten Gradierungsstrukturen}}},
  year         = {{2026}},
}

@article{67171,
  abstract     = {{<jats:p>Flow forming of metastable austenites is an innovative, incremental metal forming process with special capabilities due to the TRIP effect. However, the TRIP effect during flow forming is significantly affected by disturbances and especially batch fluctuations leading to process uncertainty. This aspect is further analyzed and quantified in this paper to give insights on how to minimize the impact of uncertainty. For this purpose, semifinished parts and resulting flow forming workpieces are systemically characterized concerning their properties and the property uncertainty supported by mathematical methods like correlation analysis and error propagation. A result is that the most influencing impact factor on the strain induced α’-martensite volume fraction as a material property are batch fluctuations, specifically the variations of the chemical composition. Those especially appear from batch to batch, but also within a batch accompanied by e.g. temperature effects. To counter this challenge, different methods from control theory like closed-loop property control and adaptive control can be applied to flow forming. Thus, uncertainty will be reduced to increase process robustness and to enable industrial exploitation of the TRIP effect in flow forming of metastable austenitic steels.</jats:p>}},
  author       = {{Kersting, Lukas and Koyuncu, Mustafa and Arian, Bahman and Rozo Vasquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}},
  issn         = {{1662-9779}},
  journal      = {{Solid State Phenomena}},
  pages        = {{253--266}},
  publisher    = {{Trans Tech Publications, Ltd.}},
  title        = {{{Reducing the Uncertainty in Flow Forming of Metastable Austenites}}},
  doi          = {{10.4028/p-gad5rr}},
  volume       = {{389}},
  year         = {{2026}},
}

@inproceedings{67206,
  abstract     = {{Eigenschaftsregelungen sind zurzeit in der Forschung für umformende Fertigungsprozesse viel diskutierte mechatronische Systeme, mit denen die mechanischen Eigenschaften wie z.B. Festigkeit und Härte, die mikrostrukturellen Eigenschaften wie z.B. Korngröße und Gefügeanteile, oder auch die Bauteilgeometrie eines zu fertigenden Bauteils definiert eingestellt werden können. Ein wichtiger Aspekt bei dem Entwurf eines solchen mechatronischen Systems stellt aus regelungs- und automatisierungstechnischer Sicht die spezifische Dynamik der einzelnen charakteristischen Teilsysteme des mechatronischen Kreises (Umformprozess, Eigenschaftssensorik, Eigenschaftsregler, Umformmaschine) vor dem Hintergrund der Echtzeitfähigkeit dar. Diese wird im Rahmen dieses Beitrags am Beispiel des Drückwalzens metastabil-austenitische Edelstähle tiefergehend untersucht, auch, um neue Forschungsimpulse für die Weiterentwicklung von Eigenschaftsregelungssystem und einen etwaigen Industrietransfer zu liefern.}},
  author       = {{Kersting, Lukas and Arian, Bahman and Rozo Vasquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}},
  editor       = {{Bertram, Torsten and Corves, Burkhard and Beitelschmidt, Michael}},
  location     = {{Berlin}},
  pages        = {{39--44}},
  title        = {{{Der Eigenschaftsgeregelte Drückwalzprozess als neues mechatronisches System – Analyse im Hinblick auf Echtzeitaspekte}}},
  year         = {{2026}},
}