@article{63505,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>The main goal of this work is to study the $L^{p}$-asymptotic behavior of solutions to the heat equation on arbitrary rank Riemannian symmetric spaces of non-compact-type $G/K$ for non-bi-$K$ invariant initial data. For initial data $u_{0}$ compactly supported or in a weighted $L^{1}(G/K)$ space with a weight depending on $p\in [1, \infty ]$, we introduce a mass function $M_{p}(u_{0})(\cdot )$, and prove that if $h_{t}$ is the heat kernel on $G/K$, then $$ \begin{align*} &amp;\|h_t\|_p^{-1}\,\|u_0\ast h_t \, - \,M_p(u_0)(\cdot)\,h_t\|_p \rightarrow 0 \quad \textrm{as} \quad t\rightarrow \infty.\end{align*} $$ Interestingly, the $L^{p}$ heat concentration leads to completely different expressions of the mass function for $1\leq p &amp;lt;2$ and $2\leq p\leq \infty $. If we further assume that the initial data are bi-$K$-invariant, then our mass function boils down to the constant $\int _{G/K}u_{0}$ in the case $p=1$, and more generally to $\mathcal{H}{u_{0}}(i\rho (2/p-1))$ if $1\leq p&amp;lt;2$, and to $\mathcal{H}{u_{0}}(0)$ if $2\leq p \leq \infty $. Thus, we improve upon results by Vázquez, Anker et al., and Naik et al., clarifying the nature of the problem.</jats:p>}},
  author       = {{Papageorgiou, Effie}},
  issn         = {{1073-7928}},
  journal      = {{International Mathematics Research Notices}},
  number       = {{7}},
  publisher    = {{Oxford University Press (OUP)}},
  title        = {{{<i>L</i>
          p Asymptotics for the Heat Equation on Symmetric Spaces for Non-symmetric Solutions}}},
  doi          = {{10.1093/imrn/rnaf074}},
  volume       = {{2025}},
  year         = {{2025}},
}

@article{63503,
  author       = {{Bruno, Tommaso and Papageorgiou, Effie}},
  issn         = {{0021-7670}},
  journal      = {{Journal d'Analyse Mathématique}},
  number       = {{2}},
  pages        = {{733--767}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Pointwise convergence to initial data for some evolution equations on symmetric spaces}}},
  doi          = {{10.1007/s11854-025-0403-2}},
  volume       = {{157}},
  year         = {{2025}},
}

@inproceedings{61753,
  abstract     = {{This paper presents LOLA, a massively multilingual large language model trained on more than 160 languages using a sparse Mixture-of-Experts Transformer architecture. Our architectural and implementation choices address the challenge of harnessing linguistic diversity while maintaining efficiency and avoiding the common pitfalls of multilinguality. Our analysis of the evaluation results shows competitive performance in natural language generation and understanding tasks. Additionally, we demonstrate how the learned expert-routing mechanism exploits implicit phylogenetic linguistic patterns to potentially alleviate the curse of multilinguality. We provide an in-depth look at the training process, an analysis of the datasets, and a balanced exploration of the model{’}s strengths and limitations. As an open-source model, LOLA promotes reproducibility and serves as a robust foundation for future research. Our findings enable the development of compute-efficient multilingual models with strong, scalable performance across languages.}},
  author       = {{Srivastava, Nikit and Kuchelev, Denis and Moteu Ngoli, Tatiana and Shetty, Kshitij and Röder, Michael and Zahera, Hamada Mohamed Abdelsamee and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Proceedings of the 31st International Conference on Computational Linguistics}},
  editor       = {{Rambow, Owen and Wanner, Leo and Apidianaki, Marianna and Al-Khalifa, Hend and Eugenio, Barbara Di and Schockaert, Steven}},
  pages        = {{6420–6446}},
  publisher    = {{Association for Computational Linguistics}},
  title        = {{{LOLA – An Open-Source Massively Multilingual Large Language Model}}},
  year         = {{2025}},
}

@inbook{63507,
  author       = {{Pandit, Gaurav and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783031945748}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings}}},
  doi          = {{10.1007/978-3-031-94575-5_4}},
  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{62924,
  author       = {{Wittkopp, Laura and Pollmeier, Pascal and Fechner, Sabine}},
  booktitle    = {{Jahrestagung der Gesellschaft für Didaktik der Chemie und Physik e.V. (GDCP)}},
  location     = {{Frankfurt am Main}},
  title        = {{{Effekte nachhaltigkeitsbezogener Kontexte beim Chemielernen}}},
  year         = {{2025}},
}

@unpublished{63510,
  abstract     = {{It has been shown recently that optimal control problems with the dynamical constraint given by a second order system admit a regular Lagrangian formulation. This implies that the optimality conditions can be obtained in a new form based on the variational approach. In this paper we extend the first order necessary optimality conditions obtained previously to second order optimality conditions. This results in a complete characterization of the optimality conditions in a new Lagrangian form.}},
  author       = {{Konopik, Michael and Leyendecker, Sigrid and Maslovskaya, Sofya and Sina Ober-Blöbaum, Sina Ober-Blöbaum and Almagro, Rodrigo T. Sato Martín de}},
  booktitle    = {{arXiv:2507.06024}},
  title        = {{{Second order optimality conditions in a new Lagrangian formulation for optimal control problems}}},
  year         = {{2025}},
}

@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}},
}

@article{62652,
  abstract     = {{<jats:p>Driven by the urgent need for a green, safe, and cost‐effective approach to producing H<jats:sub>2</jats:sub> and H<jats:sub>2</jats:sub>O<jats:sub>2</jats:sub>—both highly valuable in green energy and environmental protection fields—piezocatalysis, which converts mechanical energy into valuable chemicals, has emerged as a promising solution. However, current catalyst systems face challenges due to the need for materials with both a strong piezoelectric effect and favorable catalytic activity. Herein, the construction of an oxidized carbon nitride (<jats:italic>g</jats:italic>‐C<jats:sub>3</jats:sub>N<jats:sub>4</jats:sub>) matrix anchored with TiO<jats:sub>2</jats:sub> nanoparticles via alkaline hydrothermal treatment is reported. Under ultrasonication, the <jats:italic>g</jats:italic>‐C<jats:sub>3</jats:sub>N<jats:sub>4</jats:sub>/TiO<jats:sub>2</jats:sub> composite exhibits optimal performance under carefully controlled alkaline hydrothermal conditions. With a low concentration of Ba(OH)<jats:sub>2</jats:sub> during hydrothermal treatment, Ba(OH)<jats:sub>2</jats:sub> provides an alkaline medium, oxidizing the <jats:italic>g</jats:italic>‐C<jats:sub>3</jats:sub>N<jats:sub>4</jats:sub> species and introducing structural defects into the <jats:italic>g</jats:italic>‐C<jats:sub>3</jats:sub>N<jats:sub>4</jats:sub> framework. The disruption of the <jats:italic>g</jats:italic>‐C<jats:sub>3</jats:sub>N<jats:sub>4</jats:sub> matrix, along with its interaction with TiO<jats:sub>2</jats:sub> nanoparticles, enhances the piezoelectric effect. Consequently, the oxidized <jats:italic>g</jats:italic>‐C<jats:sub>3</jats:sub>N<jats:sub>4</jats:sub>/TiO<jats:sub>2</jats:sub> composite achieves a remarkable H<jats:sub>2</jats:sub> production rate of 4427.2 μmol g<jats:sup>−1</jats:sup> and an H<jats:sub>2</jats:sub>O<jats:sub>2</jats:sub> production rate of 809.3 μmol g<jats:sup>−1</jats:sup> within 1 h without the addition of any sacrificial agents or cocatalysts. This work presents an effective strategy for the structural optimization of <jats:italic>g</jats:italic>‐C<jats:sub>3</jats:sub>N<jats:sub>4</jats:sub>‐based materials and may inspire new approaches for designing advanced piezocatalysts.</jats:p>}},
  author       = {{Pan, Ying and Liao, Luocheng and Zhang, Xinwen and Liu, Yunya and Su, Ran and Lopez Salas, Nieves}},
  issn         = {{1864-5631}},
  journal      = {{ChemSusChem}},
  number       = {{19}},
  publisher    = {{Wiley}},
  title        = {{{Oxidation‐Enhanced Piezocatalytic Activity in Carbon Nitride‐Based Catalysts for Hydrogen and Hydrogen Peroxide Production}}},
  doi          = {{10.1002/cssc.202500980}},
  volume       = {{18}},
  year         = {{2025}},
}