@article{59797,
  author       = {{Konopik, Michael and T. Sato Martín de Almagro, Rodrigo and Maslovskaya, Sofya and Ober-Blöbaum, Sina and Leyendecker, Sigrid}},
  journal      = {{Journal of Nonlinear Science}},
  number       = {{11}},
  title        = {{{Variational integrators for a new Lagrangian approach to control affine systems with a quadratic Lagrange term}}},
  doi          = {{10.1007/s00332-025-10229-5}},
  volume       = {{36}},
  year         = {{2025}},
}

@article{59799,
  author       = {{Konopik, Michael and Leyendecker, Sigrid and Maslovskaya, Sofya and Ober-Blöbaum, Sina and T. Sato Martín de Almagro, Rodrigo}},
  journal      = {{Nonlinearity}},
  number       = {{11}},
  title        = {{{A new Lagrangian approach to optimal control of second-order systems}}},
  doi          = {{10.1088/1361-6544/ae1d08}},
  volume       = {{38}},
  year         = {{2025}},
}

@article{63091,
  abstract     = {{We present the design and characterization of a guided-wave, bright, and highly frequency non-degenerate parametric down-conversion (PDC) source in thin-film lithium niobate. The source generates photon pairs with wavelengths of 815 nm and 1550 nm, linking the visible wavelength regime with telecommunication wavelengths. We confirm the high quality of the generated single photons by determining a value for the heralded second-order correlation function as low as g_h^(2)=(6.7+/-1.1)*10^8-3). Furthermore, we achieve a high spectral brightness of 0.44·10pairs/(smWGHz) which is two orders of magnitude higher than sources based on weakly guiding waveguides. The shape of the PDC spectrum and the strong agreement between the effective and nominal bandwidth highlight our high fabrication quality of periodically poled waveguides. The good agreement between the measured and simulated spectral characteristics of our source demonstrates our excellent understanding of the PDC process. Our result is a valuable step towards practical and scalable quantum communication networks as well as photonic quantum computing.}},
  author       = {{Babel, Silia and Bollmers, Laura and Roeder, Franz and Ridder, Werner and Golla, Christian and Köthemann, Ronja and Reineke, Bernhard and Herrmann, Harald and Brecht, Benjamin and Eigner, Christof and Padberg, Laura and Silberhorn, Christine}},
  issn         = {{1094-4087}},
  journal      = {{Optics Express}},
  number       = {{25}},
  publisher    = {{Optica Publishing Group}},
  title        = {{{Ultrabright, two-color photon pair source based on thin-film lithium niobate for bridging visible and telecom wavelengths}}},
  doi          = {{10.1364/oe.571605}},
  volume       = {{33}},
  year         = {{2025}},
}

@article{62713,
  abstract     = {{Periodically poled thin-film lithium niobate (TFLN) crystals are the fundamental building block for highly-efficient quantum light sources and frequency converters. The efficiency of these devices is strongly dependent on the interaction length between the light and the nonlinear material, scaling quadratically with this parameter. Nevertheless, the fabrication of long, continuously poled areas in TFLN remains challenging, the length of continuously poled areas rarely exceeds 10 mm. In this work, we demonstrate a significant progress in this field achieving the periodic poling of continuous poled areas of 70 mm length with a 3 μm poling period and a close to 50 % duty cycle. We compare two poling electrode design approaches to fabricate long, continuous poled areas. The first approach involves the poling of a single, continuous 70 mm long electrode. The second utilize a segmented approach including the poling of more than 20 individual sections forming together a 70 mm long poling area with no stitching errors. While the continuous electrode allows for faster fabrication, the segmented approach allows to individually optimize the poling resulting in less duty cycle variation. A detailed analysis of the periodic poling results reveals that the results of both are consistent with previously reported poling outcomes for shorter devices. Thus, we demonstrate wafer-scale periodic poling exceeding chiplet-size without any loss in the periodic poling quality. Our work presents a key step towards highly-efficient, narrow-bandwidth and low-pump power nonlinear optical devices.}},
  author       = {{Bollmers, Laura and Spiegelberg, Noah and Rüsing, Michael and Eigner, Christof and Padberg, Laura and Silberhorn, Christine}},
  issn         = {{2192-8606}},
  journal      = {{Nanophotonics}},
  pages        = {{4761}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Segmented finger electrodes to optimize ultra-long continuous wafer-scale periodic poling in thin-film lithium niobate}}},
  doi          = {{10.1515/nanoph-2025-0461}},
  volume       = {{14}},
  year         = {{2025}},
}

@article{63518,
  author       = {{Hagengruber, Ruth Edith}},
  journal      = {{ZDPE}},
  publisher    = {{Bettina Bussmann und Vanessa Albus}},
  title        = {{{Eine Demokratie, die das Recht der Frauen nicht verwirklicht, ist nichtig". Das politische Meisterstücke der Olympe de Gouges (1748-1793)}}},
  volume       = {{3}},
  year         = {{2025}},
}

@inproceedings{63524,
  abstract     = {{Recommendation systems are essential for delivering personalized content across e-commerce and streaming services. However, traditional methods often fail in cold-start scenarios where new items lack prior interactions. Recent advances in large language models (LLMs) offer a promising alternative. In this paper, we adopt the retrieve-and-recommend framework and propose to fine-tune the LLM jointly on warm-and cold-start next-item recommendation tasks, thus, mitigating the need for separate models for both item types. We computationally compare zero-shot prompting, in-context learning, and fine-tuning using the same LLM backbone, and benchmark them against strong PLM-based baselines. Our findings provide practical insights into the trade-offs between accuracy and computational cost of these methods for next-item recommendation. To enhance reproducibility, we release the source code under https://github. com/HayaHalimeh/LLMs-For-Next-Item-Recommendation.git.}},
  author       = {{Halimeh, Haya and Freese, Florian and Müller, Oliver}},
  booktitle    = {{International Conference on Information Systems Development}},
  issn         = {{2938-5202}},
  publisher    = {{University of Gdansk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences}},
  title        = {{{LLMs For Warm and Cold Next-Item Recommendation: A Comparative Study across Zero-Shot Prompting, In-Context Learning and Fine-Tuning}}},
  doi          = {{10.62036/isd.2025.68}},
  year         = {{2025}},
}

@inproceedings{63523,
  abstract     = {{Data spaces have become a strategic pillar of Europe's digital agenda, enabling sovereign, legally compliant data sharing within decentralized ecosystems. As data space initiatives evolve, personalized recommendations are increasingly recognized as key use cases. However, traditional recommendation approaches typically rely on centralized aggregation of user behavior data-directly conflicting with the core ethos of data spaces: sovereignty, privacy, and trust. Federated recommendation systems offer a promising alternative by training models locally and exchanging only intermediate parameters to build a global model. Despite this potential, the integration of federated recommendation techniques and data space architectures remains largely underexplored in research and practice. This paper addresses this gap by designing and evaluating a prototype of a federated recommendation system specifically tailored for data spaces and compliant with their underlying infrastructure. Our findings highlight the viability of developing privacy-preserving, collaborative recommendation systems within data spaces, and contribute to the broader adoption of AI across these emerging ecosystems.}},
  author       = {{Halimeh, Haya and zur Heiden, Philipp}},
  booktitle    = {{2025 27th International Conference on Business Informatics (CBI)}},
  publisher    = {{IEEE}},
  title        = {{{Preserving Sovereignty and Privacy for Personalization: Designing a Federated Recommendation System for Data Spaces}}},
  doi          = {{10.1109/cbi68102.2025.00019}},
  year         = {{2025}},
}

@inproceedings{63525,
  abstract     = {{Recommender systems (RS) can support sustainable development by steering users toward more sustainable choices. Sustainability-aware explanations represent one avenue for contributing to this goal by foregrounding the environmental and social aspects of the recommended products or services. This paper advances the line of research on sustainability-aware explanations by integrating nudging mechanisms into their design and by evaluating their effectiveness through a randomized between-subjects online vignette experiment across two item domains (). Our findings offer actionable design guidelines for building RS that foster sustainability-aware decision making and enrich the empirical foundation for impact-oriented research on explanation in RS.
}},
  author       = {{Halimeh, Haya and Müller, Oliver}},
  location     = {{Prague, Czech Republic}},
  title        = {{{Towards Greener Choices: Decision Information Nudging for Sustainability-Aware Recommender Explanations}}},
  doi          = {{10.1007/978-3-032-13342-7}},
  year         = {{2025}},
}

@unpublished{61922,
  abstract     = {{We present an extremely simple polynomial-space exponential-time
$(1-\varepsilon)$-approximation algorithm for MAX-k-SAT that is (slightly)
faster than the previous known polynomial-space $(1-\varepsilon)$-approximation
algorithms by Hirsch (Discrete Applied Mathematics, 2003) and Escoffier,
Paschos and Tourniaire (Theoretical Computer Science, 2014). Our algorithm
repeatedly samples an assignment uniformly at random until finding an
assignment that satisfies a large enough fraction of clauses. Surprisingly, we
can show the efficiency of this simpler approach by proving that in any
instance of MAX-k-SAT (or more generally any instance of MAXCSP), an
exponential number of assignments satisfy a fraction of clauses close to the
optimal value.}},
  author       = {{Buhrman, Harry and Gharibian, Sevag and Landau, Zeph and Gall, François Le and Schuch, Norbert and Tamaki, Suguru}},
  booktitle    = {{SIAM Symposium on Simplicity in Algorithms (SOSA)}},
  title        = {{{A Simpler Exponential-Time Approximation Algorithm for MAX-k-SAT}}},
  year         = {{2025}},
}

@techreport{63026,
  author       = {{Althaus, Maike and Beverungen, Daniel and Flath, Beate and Halimeh, Haya and Hansmeier, Philipp and zur Heiden, Philipp and Kundisch, Dennis and Müller, Michelle and Müller, Oliver and Oberthür, Simon and Vorbohle, Christian and Momen Pour Tafreshi, Maryam and Mauß, Sebastian and Mücke, Alina and Müller, Jörg and Peter, Malte and Schmitt-Chandon, Ariane and Sellerberg, Kerstin and Steinhäuser, Moritz}},
  title        = {{{Positionspapier Use Case 1: Vernetzte Kulturplattformen}}},
  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}},
}

@misc{63051,
  author       = {{Güsken, Nicholas Alexander}},
  title        = {{{Optical modulator and electronic apparatus including the same}}},
  year         = {{2025}},
}

@article{63534,
  abstract     = {{<jats:p>Boson sampling is a key candidate for demonstrating quantum advantage and has already yielded significant advances in quantum simulation, machine learning, and graph theory. In this work, a unification and extension of distinct forms of boson sampling is developed. The devised protocol merges discrete-variable scattershot boson sampling with continuous-variable Gaussian boson sampling. Therefore, it is rendered possible to harness the complexity of more interesting states, such as squeezed photons, in advanced sampling protocols. A generating function formalism is developed for the joint description of multiphoton and multimode light undergoing Gaussian transformations. The resulting analytical tools enable one to explore interfaces of different photonic quantum-information-processing platforms. A numerical simulation of unified sampling is carried out, benchmarking its performance, complexity, and scalability. Entanglement is characterized to exemplify the generation of quantum correlations from the nonlinear interactions of a unified sampler.</jats:p>}},
  author       = {{Bianchi, Luca and Marconi, Carlo and Ares, Laura and Bacco, Davide and Sperling, Jan}},
  issn         = {{2643-1564}},
  journal      = {{Physical Review Research}},
  number       = {{4}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Unified boson sampling}}},
  doi          = {{10.1103/8hy1-m5gg}},
  volume       = {{7}},
  year         = {{2025}},
}

@article{53414,
  abstract     = {{By constructing a non-empty domain of discontinuity in a suitable homogeneous
space, we prove that every torsion-free projective Anosov subgroup is the
monodromy group of a locally homogeneous contact Axiom A dynamical system with
a unique basic hyperbolic set on which the flow is conjugate to the refraction
flow of Sambarino. Under the assumption of irreducibility, we utilize the work
of Stoyanov to establish spectral estimates for the associated complex Ruelle
transfer operators, and by way of corollary: exponential mixing, exponentially
decaying error term in the prime orbit theorem, and a spectral gap for the
Ruelle zeta function. With no irreducibility assumption, results of
Dyatlov-Guillarmou imply the global meromorphic continuation of zeta functions
with smooth weights, as well as the existence of a discrete spectrum of
Ruelle-Pollicott resonances and (co)-resonant states. We apply our results to
space-like geodesic flows for the convex cocompact pseudo-Riemannian manifolds
of Danciger-Gu\'eritaud-Kassel, and the Benoist-Hilbert geodesic flow for
strictly convex real projective manifolds.}},
  author       = {{Delarue, Benjamin and Monclair, Daniel and Sanders, Andrew}},
  journal      = {{Geometric and Functional Analysis (GAFA)}},
  pages        = {{673–735}},
  title        = {{{Locally homogeneous Axiom A flows I: projective Anosov subgroups and exponential mixing}}},
  doi          = {{10.1007/s00039-025-00712-2}},
  volume       = {{35}},
  year         = {{2025}},
}

@article{53412,
  abstract     = {{Let $M$ be a symplectic manifold carrying a Hamiltonian $S^1$-action with
momentum map $J:M \rightarrow \mathbb{R}$ and consider the corresponding
symplectic quotient $\mathcal{M}_0:=J^{-1}(0)/S^1$. We extend Sjamaar's complex
of differential forms on $\mathcal{M}_0$, whose cohomology is isomorphic to the
singular cohomology $H(\mathcal{M}_0;\mathbb{R})$ of $\mathcal{M}_0$ with real
coefficients, to a complex of differential forms on $\mathcal{M}_0$ associated
with a partial desingularization $\widetilde{\mathcal{M}}_0$, which we call
resolution differential forms. The cohomology of that complex turns out to be
isomorphic to the de Rham cohomology $H(\widetilde{ \mathcal{M}}_0)$ of
$\widetilde{\mathcal{M}}_0$. Based on this, we derive a long exact sequence
involving both $H(\mathcal{M}_0;\mathbb{R})$ and $H(\widetilde{
\mathcal{M}}_0)$ and give conditions for its splitting. We then define a Kirwan
map $\mathcal{K}:H_{S^1}(M) \rightarrow H(\widetilde{\mathcal{M}}_0)$ from the
equivariant cohomology $H_{S^1}(M)$ of $M$ to $H(\widetilde{\mathcal{M}}_0)$
and show that its image contains the image of $H(\mathcal{M}_0;\mathbb{R})$ in
$H(\widetilde{\mathcal{M}}_0)$ under the natural inclusion. Combining both
results in the case that all fixed point components of $M$ have vanishing odd
cohomology we obtain a surjection $\check \kappa:H^\textrm{ev}_{S^1}(M)
\rightarrow H^\textrm{ev}(\mathcal{M}_0;\mathbb{R})$ in even degrees, while
already simple examples show that a similar surjection in odd degrees does not
exist in general. As an interesting class of examples we study abelian polygon
spaces.}},
  author       = {{Delarue, Benjamin and Ramacher, Pablo and Schmitt, Maximilian}},
  journal      = {{Transformation Groups}},
  title        = {{{Singular cohomology of symplectic quotients by circle actions and Kirwan  surjectivity}}},
  doi          = {{10.1007/s00031-025-09924-0}},
  year         = {{2025}},
}

@inbook{63543,
  abstract     = {{<jats:title>Abstract</jats:title>
          <jats:p>Current megatrends are influencing industrial production and leading to ever shorter innovation cycles. The resulting fast pace of production requirements requires an accelerated development of production systems and an associated increase in efficiency in factory planning. Due to its knowledge-intensive activities, rough factory planning promises great potential to be supported in its activities by innovative technologies such as artificial intelligence. However, industrial companies face the challenge to recognize the potential of artificial intelligence (AI) in rough planning and to evaluate possible applications in their business context. As a result, a systematic approach for analyzing AI potential in rough factory planning was developed as part of this work. The system includes a procedural model and several artefacts used in it, which support the identification and evaluation of AI potential in organizations. This approach not only streamlines the planning process but also aligns with sustainable manufacturing principles by enhancing resource efficiency, promoting intelligent system design, and fostering innovation in product development and manufacturing processes.</jats:p>}},
  author       = {{Kürpick, Dominik and Disselkamp, Jan-Philipp and Lick, Jonas and Hovemann, Aschot and Dumitrescu, Roman}},
  booktitle    = {{Lecture Notes in Mechanical Engineering}},
  isbn         = {{9783031938900}},
  issn         = {{2195-4356}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Systematic AI Potential Analysis for Sustainable Rough Factory Planning}}},
  doi          = {{10.1007/978-3-031-93891-7_84}},
  year         = {{2025}},
}

@inproceedings{63542,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>This paper presents the MBSE-Graph-RAG framework to address key challenges in Model-Based Systems Engineering (MBSE). Traditional MBSE tools suffer from usability barriers, limited accessibility, and integration challenges. By combining knowledge graphs with Retrieval-Augmented Generation (RAG), the proposed framework enables AI-Augmented engineering through natural language interactions and automated system architecture generation. A systematic literature review establishes a solid research foundation, identifying gaps in AI-assisted MBSE. Key contributions include a structured MBSE-Graph interface, improved usability via Large Language Models (LLMs), and automated graph construction aligned with SysML. A proof-of-concept demonstrates the potential of this approach to enhance MBSE by reducing complexity, improving data accessibility, and supporting engineering collaboration.</jats:p>}},
  author       = {{Hanke, Fabian and Bita, Isaac Mpidi and von Heißen, Oliver  and Weller, Julian and Hovemann, Aschot and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{439--448}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{AI-augmented systems engineering: conceptual application of retrieval-augmented generation for model-based systems engineering graph}}},
  doi          = {{10.1017/pds.2025.10058}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{63537,
  author       = {{Dondorf, Verena  and Kokilanathan, Kitrujan  and Graunke, Jannis  and Hobscheidt, Daniela  and Dumitrescu, Roman}},
  booktitle    = {{Vorausschau und Technologieplanung}},
  editor       = {{Hölzle, Katharina and Dumitrescu, Roman}},
  isbn         = {{978-3-947647-50-7}},
  location     = {{Berlin}},
  pages        = {{137}},
  publisher    = {{Heinz Nixdorf Institut}},
  title        = {{{Akzeptanz von KI-Lösungen: Analyse der Einflussfaktoren und ihre Relevanz für Mitarbeitende}}},
  volume       = {{431}},
  year         = {{2025}},
}

@inproceedings{63538,
  author       = {{Dohmann, Friederike  and Hobscheidt, Daniela  and Vy Vo, Gia  and Kürpick, Christian  and Dumitrescu, Roman}},
  booktitle    = {{Vorausschau und Technologieplanung}},
  editor       = {{Hölzle, Katharina and Dumitrescu, Roman}},
  isbn         = {{978-3-947647-50-7}},
  location     = {{Berlin}},
  pages        = {{299}},
  title        = {{{Nachhaltigkeit als strategischer Erfolgsfaktor–ein Framework für die unternehmerische Nachhaltigkeitstransformation}}},
  volume       = {{431}},
  year         = {{2025}},
}

