@article{63588, author = {{Modin, Klas and Suri, Ali}}, journal = {{Calculus of Variations and Partial Differential Equations }}, title = {{{Geodesic interpretation of the global quasi-geostrophic equations}}}, doi = {{https://doi.org/10.1007/s00526-025-03186-0}}, volume = {{65}}, year = {{2026}}, } @article{63621, author = {{Black, Tobias}}, issn = {{0373-3114}}, journal = {{Annali di Matematica Pura ed Applicata (1923 -)}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Refining Hölder regularity theory in degenerate drift-diffusion equations}}}, doi = {{10.1007/s10231-025-01642-4}}, year = {{2026}}, } @inproceedings{63652, abstract = {{In dynamic environments, product management plays a key role in aligning innovation, customer needs, and strategic decision-making. Digitalization offers significant opportunities to enhance this role by enabling data-driven insights for improved customer and product understanding—yet its successful implementation requires a fundamental transformation. Based on a systematic literature review, this study synthesizes key advantages, challenges, and design fields that shape this transformation. The results highlight performance benefits across business, product, process, and decision-making dimensions, while also uncovering barriers rooted in strategy, organization, people, and technology. To address these barriers, critical enablers and conditions for success are identified. Four overarching design fields provide orientation for structuring digitalization efforts and guiding organizational change in industrial practice. The paper provides both a conceptual foundation and a practical guide for companies seeking to digitalize their product management effectively.}}, author = {{Fichtler, Timm and Petzke, Lisa Irene and Grigoryan, Khoren and Koldewey, Christian and Dumitrescu, Roman}}, booktitle = {{Proceedings of the 59th Hawaii International Conference on System Sciences}}, location = {{Maui, Hawaii}}, title = {{{Enhancing Product Management Performance through Digitalization: Advantages, Challenges, Design Fields}}}, year = {{2026}}, } @article{63656, author = {{Ares, Laura and Pinske, Julien and Hinrichs, Benjamin and Kolb, Martin and Sperling, Jan}}, issn = {{2469-9926}}, journal = {{Physical Review A}}, number = {{1}}, publisher = {{American Physical Society (APS)}}, title = {{{Restricted Monte Carlo wave-function method and Lindblad equation for identifying entangling open-quantum-system dynamics}}}, doi = {{10.1103/hcj7-8zlg}}, volume = {{113}}, year = {{2026}}, } @article{63657, author = {{Pinske, Julien and Ares, Laura and Hinrichs, Benjamin and Kolb, Martin and Sperling, Jan}}, issn = {{2469-9926}}, journal = {{Physical Review A}}, number = {{1}}, publisher = {{American Physical Society (APS)}}, title = {{{Separability Lindblad equation for dynamical open-system entanglement}}}, doi = {{10.1103/kd3b-bfxq}}, volume = {{113}}, year = {{2026}}, } @article{63672, author = {{Black, Tobias and Kohatsu, Shohei and Wu, Duan}}, issn = {{1424-3199}}, journal = {{Journal of Evolution Equations}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Global solvability and large-time behavior in a doubly degenerate migration model involving saturated signal consumption}}}, doi = {{10.1007/s00028-025-01163-w}}, volume = {{26}}, year = {{2026}}, } @article{63798, author = {{Vernholz, Mats and Temmen, Katrin}}, issn = {{2199-8825}}, journal = {{die hochschullehre}}, number = {{8}}, pages = {{97--111}}, publisher = {{wbv Publikation}}, title = {{{Motive Ingenieurstudierender für den Besuch (fach-)didaktischer Lehrveranstaltungen im Projekt EduTech Net OWL}}}, doi = {{10.3278/HSL2608W}}, volume = {{12}}, year = {{2026}}, } @article{63800, abstract = {{In this contribution, we address the estimation of the frequency-dependent elastic parameters of polymers in the ultrasound range, which is formulated as an inverse problem. This inverse problem is implemented as a nonlinear regression-type optimization problem, in which the simulation signals are fitted to the measurement signals. These signals consist of displacement responses in waveguides, focusing on hollow cylindrical geometries to enhance the simulation efficiency. To accelerate the optimization and reduce the number of model evaluations and wait times, we propose two novel methods. First, we introduce an adaptation of the Levenberg–Marquardt method derived from a geometrical interpretation of the least-squares optimization problem. Second, we introduce an improved objective function based on the autocorrelated envelopes of the measurement and simulation signals. Given that this study primarily relies on simulation data to quantify optimization convergence, we aggregate the expected ranges of realistic material parameters and derive their distributions to ensure the reproducibility of optimizations with proper measurements. We demonstrate the effectiveness of our objective function modification and step adaptation for various materials with isotropic material symmetry by comparing them with the Broyden–Fletcher–Goldfarb–Shanno method. In all cases, our method reduces the total number of model evaluations, thereby shortening the time to identify the material parameters.}}, author = {{Itner, Dominik and Dreiling, Dmitrij and Gravenkamp, Hauke and Henning, Bernd and Birk, Carolin}}, issn = {{0888-3270}}, journal = {{Mechanical Systems and Signal Processing}}, keywords = {{Material parameter estimation, Waveguide, Nonlinear optimization, Inverse problem, Least squares}}, pages = {{113904}}, title = {{{A modified Levenberg–Marquardt method for estimating the elastic material parameters of polymer waveguides using residuals between autocorrelated frequency responses}}}, doi = {{https://doi.org/10.1016/j.ymssp.2026.113904}}, volume = {{247}}, year = {{2026}}, } @article{63827, abstract = {{Light-emitting diodes (LEDs) are becoming increasingly important across various sectors of the lighting industry and are being used more frequently. In the field of symbolic projection, research is increasingly focusing on implementing light modulation using energy-efficient, incoherent LEDs rather than lasers. Since light modulation in micro- and nano-optics is typically achieved through phase modulation, Finite-Difference Time-Domain (FDTD) simulations are employed for analysis. The objective of this article is to investigate different approaches for approximating incoherent monochromatic light sources within FDTD simulations. To this end, two approaches based on dipole sources are considered, as well as a method involving plane waves with modulated wavefronts based on Cosine–Fourier functions and a method based on the superposition of Gaussian beams. These methods are evaluated in terms of their accuracy using a two-dimensional double-slit configuration and are compared against a fully incoherent analytical reference.}}, author = {{Metzner, Dominik and Potthoff, Jens and Zentgraf, Thomas and Förstner, Jens}}, issn = {{2304-6732}}, journal = {{Photonics}}, keywords = {{tet_topic_opticalantenna, tet_topic_numerics, tet_topic_meta}}, number = {{2}}, publisher = {{MDPI AG}}, title = {{{Approximating Incoherent Monochromatic Light Sources in FDTD Simulations}}}, doi = {{10.3390/photonics13020128}}, volume = {{13}}, year = {{2026}}, } @article{63838, abstract = {{Industrial electrification is increasing to reduce fossil fuel dependence, alongside a growing share of volatile renewables. A secure and reliable energy supply is crucial for industry, leading to a shift from centralised to decentralised grid structures. DC microgrids becoming increasingly popular in industry, since they enable energy recuperation from braking, reduce components and cables, and integrate storage and local generation to manage supply interruptions or peak loads. EVs add further synergies by serving as mobile storage units, helping to store and redistribute locally generated renewable energy. This paper analyses how EV integration in droop-controlled DC grids can contribute to a more stable, low-emission and peak-reduced load profile to the supply grid through load shifting and bridge interruptions. A droop-controlled DC grid model has been developed, incorporating an EV charging park based on probability functions. Scalable scenarios allow for diverse condition analysis using an energy management system that utilises fuzzy logic and sequential MILP optimisation. It has been shown that a 7% improvement of coefficient represented grid-serving behaviour is possible by load shifting. It has also been demonstrated that an optimised EMS can reduce the demand-based CO2 emissions by 41kg for a representative day compared to a fuzzy logic EMS. At the same time peak load is decreased yielding a more constant residual load. These results highlight the potential of a controlled bidirectional charging infrastructure in DC grids and underscore the need to explicitly consider charging processes to ensure a residual load as constant as possible.}}, author = {{Rahlf, Henning Christoph and Knorr, Lukas and Althoff, Simon and Meschede, Henning}}, issn = {{2666-9552}}, journal = {{Smart Energy}}, keywords = {{DC-grid, Droop control, Grid-serving behaviour, Grid stability, Bidirectional charging, Sequential decision, MILP optimisation}}, publisher = {{Elsevier BV}}, title = {{{Analysis of bidirectional EV charging infrastructures within industrial DC grids}}}, doi = {{10.1016/j.segy.2026.100227}}, year = {{2026}}, } @inproceedings{63918, abstract = {{Many real-world datasets, such as citation networks, social networks, and molecular structures, are naturally represented as heterogeneous graphs, where nodes belong to different types and have additional features. For example, in a citation network, nodes representing "Paper" or "Author" may include attributes like keywords or affiliations. A critical machine learning task on these graphs is node classification, which is useful for applications such as fake news detection, corporate risk assessment, and molecular property prediction. Although Heterogeneous Graph Neural Networks (HGNNs) perform well in these contexts, their predictions remain opaque. Existing post-hoc explanation methods lack support for actual node features beyond one-hot encoding of node type and often fail to generate realistic, faithful explanations. To address these gaps, we propose DiGNNExplainer, a model-level explanation approach that synthesizes heterogeneous graphs with realistic node features via discrete denoising diffusion. In particular, we generate realistic discrete features (e.g., bag-of-words features) using diffusion models within a discrete space, whereas previous approaches are limited to continuous spaces. We evaluate our approach on multiple datasets and show that DiGNNExplainer produces explanations that are realistic and faithful to the model's decision-making, outperforming state-of-the-art methods.}}, author = {{Das, Pallabee and Heindorf, Stefan}}, booktitle = {{Proceedings of the ACM Web Conference 2026 (WWW ’26)}}, location = {{Dubai, United Arab Emirates}}, publisher = {{ACM}}, title = {{{Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features}}}, year = {{2026}}, } @inproceedings{63890, abstract = {{The computation of highly contracted electron repulsion integrals (ERIs) is essential to achieve quantum accuracy in atomistic simulations based on quantum mechanics. Its growing computational demands make energy efficiency a critical concern. Recent studies demonstrate FPGAs’ superior performance and energy efficiency for computing primitive ERIs, but the computation of highly contracted ERIs introduces significant algorithmic complexity and new design challenges for FPGA acceleration.In this work, we present SORCERI, the first streaming overlay acceleration for highly contracted ERI computations on FPGAs. SORCERI introduces a novel streaming Rys computing unit to calculate roots and weights of Rys polynomials on-chip, and a streaming contraction unit for the contraction of primitive ERIs. This shifts the design bottleneck from limited CPU-FPGA communication bandwidth to available FPGA computation resources. To address practical deployment challenges for a large number of quartet classes, we design three streaming overlays, together with an efficient memory transpose optimization, to cover the 21 most commonly used quartet classes in realistic atomistic simulations. To address the new computation constraints, we use flexible calculation stages with a free-running streaming architecture to achieve high DSP utilization and good timing closure.Experiments demonstrate that SORCERI achieves an average 5.96x, 1.99x, and 1.16x better performance per watt than libint on a 64-core AMD EPYC 7713 CPU, libintx on an Nvidia A40 GPU, and SERI, the prior best-performing FPGA design for primitive ERIs. Furthermore, SORCERI reaches a peak throughput of 44.11 GERIS (109 ERIs per second) that is 1.52x, 1.13x, and 1.93x greater than libint, libintx and SERI, respectively. SORCERI will be released soon at https://github.com/SFU-HiAccel/SORCERI.}}, author = {{Stachura, Philip and Wu, Xin and Plessl, Christian and Fang, Zhenman}}, booktitle = {{Proceedings of the 2026 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA '26)}}, isbn = {{9798400720796}}, keywords = {{electron repulsion integrals, quantum chemistry, atomistic simulation, overlay architecture, fpga acceleration}}, pages = {{224--234}}, publisher = {{Association for Computing Machinery}}, title = {{{SORCERI: Streaming Overlay Acceleration for Highly Contracted Electron Repulsion Integral Computations in Quantum Chemistry}}}, doi = {{10.1145/3748173.3779198}}, year = {{2026}}, } @inproceedings{64075, author = {{Humpert, Lynn and Graunke, Jannis and Cichon, Gerrit and Ammanagi, Anuradha and Schierbaum, Anja and Dumitrescu, Roman}}, booktitle = {{2025 IEEE International Symposium on Systems Engineering (ISSE)}}, publisher = {{IEEE}}, title = {{{Generative AI in Systems Engineering: Automated Creation of System Architectures and Early-Stage Calculation in the B2B Sector}}}, doi = {{10.1109/isse65546.2025.11370000}}, year = {{2026}}, } @article{63834, abstract = {{Abstract Many Android apps collect data from users, and the European Union’s General Data Protection Regulation (GDPR) mandates clear disclosures of such data collection. However, apps often use third-party code, complicating accurate disclosures. This paper investigates how accurately current Android apps fulfill these requirements. In this work, we present a multi-layered definition of privacy-related data to correctly report data collection in Android apps. We further create a dataset of privacy-sensitive data classes that may be used as input by an Android app. This dataset takes into account data collected both through the user interface and system APIs. Based on this, we implement a semi-automated prototype that detects and labels privacy-related data collected by a given Android app. We manually examine the data safety sections of 70 Android apps to observe how data collection is reported, identifying instances of over- and under-reporting. We compare our prototype’s results with the data safety sections of 20 apps revealing reporting discrepancies. Using the results from two Messaging and Social Media apps (Signal and Instagram), we discuss how app developers under-report and over-report data collection, respectively, and identify inaccurately reported data categories. A broader study of 7,500 Android apps reveals that apps most frequently collect data that can partially identify users. Although system APIs consistently collect large amounts of privacy-related data, user interfaces exhibit some more diverse data collection patterns. A more focused study on various domains of apps reveals that the largest fraction of apps collecting personal data belong to the domain of Messaging and Social Media . Our findings show that location is collected frequently by apps, specially from the E-commerce and Shopping domain. However, it is often under-reported in app data safety sections. Our results highlight the need for greater consistency in privacy-aware app development and reporting practices. }}, author = {{Khedkar, Mugdha and Kumar Mondal, Ambuj and Bodden, Eric}}, issn = {{0928-8910}}, journal = {{Automated Software Engineering}}, number = {{2}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{A study of privacy-related data collected by Android apps}}}, doi = {{10.1007/s10515-025-00589-3}}, volume = {{33}}, year = {{2026}}, } @article{64174, author = {{Häsel-Weide, Uta and Nührenbörger, Marcus}}, journal = {{Grundschule aktuell}}, number = {{173}}, pages = {{3--6}}, title = {{{Mathematische Basiskompetenzen. Diagnose und Förderung in der Grundschule.}}}, year = {{2026}}, } @inbook{63793, author = {{Vernholz, Mats and Schäfers, Johannes and Jonas-Ahrend, Gabriela and Temmen, Katrin}}, booktitle = {{Smart Technologies for an All-Electric Society. STE 2025. Lecture Notes in Networks and Systems}}, editor = {{Auer, Michael E. and Langmann, Reinhard and May, Dominik and Morales, Manuel}}, isbn = {{9783032073150}}, issn = {{2367-3370}}, publisher = {{Springer Nature Switzerland}}, title = {{{Shaping Tomorrow’s Classrooms: Integrating AI in Technology Teacher Training and VET in Germany}}}, doi = {{10.1007/978-3-032-07316-7_10}}, year = {{2026}}, } @article{51204, abstract = {{Given a real semisimple connected Lie group $G$ and a discrete torsion-free subgroup $\Gamma < G$ we prove a precise connection between growth rates of the group $\Gamma$, polyhedral bounds on the joint spectrum of the ring of invariant differential operators, and the decay of matrix coefficients. In particular, this allows us to completely characterize temperedness of $L^2(\Gamma\backslash G)$ in this general setting.}}, author = {{Lutsko, Christopher and Weich, Tobias and Wolf, Lasse Lennart}}, journal = {{Duke Math. Journal }}, title = {{{Polyhedral bounds on the joint spectrum and temperedness of locally symmetric spaces}}}, volume = {{(to appear)}}, year = {{2026}}, } @inproceedings{64211, author = {{Wiebe, Vivien and Häsel-Weide, Uta}}, booktitle = {{Proceedings of the Nineteenth ERME Topic Conference: Connecting the Learning of Mathematics Teaching to Practice}}, editor = {{Mosvold, R. and Fauskanger, J. and Ferretti, F. and Vondrová, N.}}, location = {{Prag}}, pages = {{122--129}}, title = {{{ Initiating and establishing mathematical practices of determining and transforming numbers as a foundational skill in fostering mathematics teaching}}}, year = {{2026}}, } @article{64223, abstract = {{The complexity and interconnectivity of modern automotive systems are rapidly increasing, particularly with the rise of distributed and cooperative driving functions. These developments increase exposure to a range of disruptions, from technical failures to cyberattacks, and demand a shift towards resilience-by-design. This study addresses the early integration of resilience into the automotive design process by proposing a structured method for identifying gaps and eliciting resilience requirements. Building upon the concept of resilience scenarios, the approach extends traditional hazard and threat analyses as defined in ISO 26262, ISO 21448 and ISO/SAE 21434. Using a structured, graph-based modeling method, these scenarios enable the anticipation of functional degradation and its impact on driving scenarios. The methodology helps developers to specify resilience requirements at an early stage, enabling the integration of resilience properties throughout the system lifecycle. Its practical applicability is demonstrated through an example in the field of automotive cybersecurity. This study advances the field of resilience engineering by providing a concrete approach for operationalizing resilience within automotive systems engineering.}}, author = {{Mpidi Bita, Isaac and Ugur, Elif and Hovemann, Aschot and Dumitrescu, Roman}}, issn = {{1999-5903}}, journal = {{Future Internet}}, number = {{1}}, publisher = {{MDPI AG}}, title = {{{Resilience-by-Design: Extracting Resilience Requirements Using the Resilience Graph in the Automotive Concept Phase}}}, doi = {{10.3390/fi18010051}}, volume = {{18}}, year = {{2026}}, } @inproceedings{64224, author = {{Yee, Jingye and Hermelingmeier, Dominik and Thederajan, Abishai Asir A. and Low, Cheng Yee and Gossen, Alexander and Dumitrescu, Roman}}, booktitle = {{2025 IEEE International Symposium on Systems Engineering (ISSE)}}, publisher = {{IEEE}}, title = {{{System Architecture and Analytical Inverse Kinematics for Autonomous Docking of Passenger Boarding Bridges}}}, doi = {{10.1109/isse65546.2025.11370093}}, year = {{2026}}, }