@unpublished{64871, author = {{Rahangdale, Praful}}, title = {{{Drinfeld correspondence in infinite dimensions}}}, year = {{2026}}, } @article{64876, abstract = {{ABSTRACT This study shows the applicability of ultrasonic sensors for measuring two‐phase layer heights in sieve tray columns under dynamic operating conditions. Although these sensors are known for their precision in stationary systems, their reliability under fluctuating flow conditions has remained unclear. To validate their accuracy, ultrasonic measurements were compared with both automated image analysis via a Python algorithm and manual video evaluation. Results show that ultrasonic sensors maintain high precision at moderate gas loads and with small hole diameters. Increased gas loads and turbulence, however, reduced measurement accuracy due to signal scattering. The findings highlight the potential of ultrasonic sensing for real‐time, noninvasive monitoring in dynamic multiphase systems.}}, author = {{Breuer, Niklas and Grünewald, Marcus and Riese, Julia}}, issn = {{0009-286X}}, journal = {{Chemie Ingenieur Technik}}, publisher = {{Wiley}}, title = {{{Application of Ultrasonic Sensors for Determining the Height of Dynamic Two‐Phase Layers in Tray Columns}}}, doi = {{10.1002/cite.70087}}, year = {{2026}}, } @article{64877, author = {{Taheri, Behnood and Kopylov, Denis and Hammer, Manfred and Meier, Torsten and Förstner, Jens and Sharapova, Polina R.}}, journal = {{arXiv}}, title = {{{Gain-induced spectral non-degeneracy in type-II parametric down-conversion}}}, doi = {{10.48550/ARXIV.2603.01656}}, year = {{2026}}, } @article{64887, abstract = {{Abstract Lachgas gelangt etwa aus Düngemitteln, Abgasen oder Narkosemitteln in die Atmosphäre und verursacht rund sechs Prozent der globalen Erwärmung. Effiziente Methoden, Lachgas abzubauen, gibt es bisher nicht. Wie ein neuer metallfreier Katalysator helfen könnte.}}, author = {{Paradies, Jan}}, issn = {{1439-9598}}, journal = {{Nachrichten aus der Chemie}}, number = {{1}}, pages = {{61--63}}, publisher = {{Wiley}}, title = {{{Nichts zu lachen – oder doch?}}}, doi = {{10.1002/nadc.20264154740}}, volume = {{74}}, year = {{2026}}, } @article{64886, abstract = {{ In the young field of enantioselective catalysis by frustrated Lewis pairs, the search for new chiral backbones for Lewis acids is desirable for future developments of the field. By taking advantage of the toluenesulfinyl group, a very useful traceless chiral auxiliary, it was possible to decorate stereopure axially chiral biphenyl tolyl sulfoxides and access unique chiral quaterphenyl tolyl sulfoxides by directed ortho ‐metalation and electrophile trapping as well as a dynamic kinetic asymmetric arylative cross‐coupling. The resulting chiral backbone is amenable to accessing chiral boron‐based Lewis acids by conversion of the sulfinyl group to boron‐based ones. }}, author = {{Berreur, Jordan and Bortoluzzi, Julien and Köring, Laura and Leroux, Frédéric R. and Paradies, Jan and Panossian, Armen}}, issn = {{1434-1948}}, journal = {{European Journal of Inorganic Chemistry}}, publisher = {{Wiley}}, title = {{{Double Functionalization of Atropisomeric Biphenyl Sulfoxides by Ortho ‐Metalation and DYKAT Toward Chiral Quaterphenyl‐Based Borane Lewis Acids}}}, doi = {{10.1002/ejic.70158}}, year = {{2026}}, } @article{64656, abstract = {{ABSTRACT The filament extension atomization is a promising process for spraying various materials with the potential to produce narrow droplet size distributions. This study systematically investigates the behavior of different fluids and suspensions in the process in order to determine its application limits and identify optimal process parameters. Particular attention was paid to the rheological properties, droplet size distributions, and circularity of the particles produced. The results show that the rotational speed of the rollers and the fluid loading are significant influencing parameters for the resulting particle properties.}}, author = {{Neukötter, Moritz and Aulbur, Nick and Neudorf, Julian and Jesinghausen, Steffen and Schmid, Hans‐Joachim}}, issn = {{0009-286X}}, journal = {{Chemie Ingenieur Technik}}, publisher = {{Wiley}}, title = {{{The Filament Extension Atomization Process for Powder Production of Elastic Fluids}}}, doi = {{https://doi.org/10.1002/cite.70073}}, year = {{2026}}, } @inproceedings{64823, abstract = {{Current legal frameworks enforce that Android developers accurately report the data their apps collect. However, large codebases can make this reporting challenging. This paper employs an empirical approach to understand developers' experience with Google Play Store's Data Safety Section (DSS) form. We first survey 41 Android developers to understand how they categorize privacy-related data into DSS categories and how confident they feel when completing the DSS form. To gain a broader and more detailed view of the challenges developers encounter during the process, we complement the survey with an analysis of 172 online developer discussions, capturing the perspectives of 642 additional developers. Together, these two data sources represent insights from 683 developers. Our findings reveal that developers often manually classify the privacy-related data their apps collect into the data categories defined by Google-or, in some cases, omit classification entirely-and rely heavily on existing online resources when completing the form. Moreover, developers are generally confident in recognizing the data their apps collect, yet they lack confidence in translating this knowledge into DSS-compliant disclosures. Key challenges include issues in identifying privacy-relevant data to complete the form, limited understanding of the form, and concerns about app rejection due to discrepancies with Google's privacy requirements. These results underscore the need for clearer guidance and more accessible tooling to support developers in meeting privacy-aware reporting obligations. }}, author = {{Khedkar, Mugdha and Schlichtig, Michael and Soliman, Mohamed Aboubakr Mohamed and Bodden, Eric}}, booktitle = {{Proceedings of the IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems (MOBILESoft '26). Association for Computing Machinery, New York, NY, USA, 65–68.}}, keywords = {{static analysis, data collection, data protection, privacy-aware reporting}}, location = {{Rio de Janeiro, Brazil}}, title = {{{Challenges in Android Data Disclosure: An Empirical Study.}}}, year = {{2026}}, } @article{64821, author = {{Khedkar, Mugdha and Schlichtig, Michael and Atakishiyev, Nihad and Bodden, Eric}}, journal = {{Automated Software Engineering }}, number = {{2}}, publisher = {{Springer US}}, title = {{{Between Law and Code: Challenges and Opportunities for Automating Privacy Assessments}}}, doi = {{10.1007/s10515-026-00601-4}}, volume = {{33}}, year = {{2026}}, } @article{64907, author = {{Fuchs, Christian}}, journal = {{ORF Public Value Texte}}, number = {{30}}, pages = {{66--71}}, title = {{{Warum wir ein Public-Service-Internet brauchen, nicht die Definanzierung öffentlicher Medien}}}, year = {{2026}}, } @misc{64904, author = {{Kombert, Sounia and Sureth-Sloane, Caren}}, booktitle = {{Frankfurter Allgemeine Zeitung}}, number = {{51}}, pages = {{16, Sp. 1--4}}, title = {{{Schocks durch Zölle und Steuern. Handelskonflikte und Abkommen werden zur zentralen Frage für Unternehmen. Wie bewältigen sie die neue Unsicherheit?}}}, year = {{2026}}, } @article{64903, author = {{Hoppe, Thomas and Schanz, Deborah and Sturm, Susann and Sureth-Sloane, Caren}}, journal = {{Schmalenbach IMPULSE}}, number = {{6}}, pages = {{1--12}}, title = {{{Steuerkomplexität: Wie lässt sie sich messen und welche Folgen hat sie?}}}, doi = {{10.54585/IEZK8936}}, year = {{2026}}, } @inproceedings{64909, author = {{Khedkar, Mugdha and Schlichtig, Michael and Bodden, Eric}}, booktitle = {{IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026)}}, title = {{{Source Code-Driven GDPR Documentation: Supporting RoPA with Assessor View}}}, year = {{2026}}, } @article{64916, abstract = {{The joining of dissimilar materials, such as steel and aluminum, entails significant challenges during thermal curing processes due to differing coefficients of thermal expansion. This study addresses the formation of “viscous fingering” instabilities in structural adhesive joints, which are induced by thermally driven relative displacements during the liquid phase of the adhesive. Using a component-like specimen “bridge specimen,” the dependency of this phenomenon on process temperature and structural stiffness (rivet distance) was characterized. Experimental results reveal that while the relative displacement scales cubically with the free buckling length, the resulting adhesive area reduction follows an exponential trend, leading to a loss of effective bond area of up to 79%, which significantly compromises the joint strength in automotive applications. To predict these process-induced defects, a thermo-chemo-viscoelastic-viscoplastic adhesive model implemented in LS-DYNA was applied. The model combines curing kinetics, viscoelastic relaxation, and pressure-dependent plasticity and features a geometric damage parameter (D) that captures the adhesive area reduction caused by viscous fingering as an exponential function of the accumulated normal strain in the liquid phase. This damage parameter, calibrated on base-specimen level, was transferred to the component geometry. The simulation demonstrated high predictive accuracy with a maximum deviation of the adhesive area reduction of 3.1% compared to experimental data. This validates the model’s capability to predict manufacturing-induced damage in complex hybrid structures solely based on thermal boundary conditions.}}, author = {{Al Trjman, Mohamad and Beule, Felix and Teutenberg, Dominik and Meschut, Gerson and Riese, Julia}}, issn = {{0021-8464}}, journal = {{The Journal of Adhesion}}, keywords = {{Adhesive area reduction, CED coating process, delta alpha problem, epoxy structural adhesive, influence of manufacture, multi-material design, numerical simulation (FEM), relative displacements, viscous fingering (saffman-taylor-instability).}}, pages = {{1--24}}, publisher = {{Informa UK Limited}}, title = {{{Experimental characterization and numerical analysis of the influence of the CED coating process on viscous fingering formation in hybrid-jointed mixed structures}}}, doi = {{10.1080/00218464.2026.2644394}}, year = {{2026}}, } @article{64979, abstract = {{We investigate homogeneous coupled cell systems with high-dimensional internal dynamics. In many studies on network dynamics, the analysis is restricted to networks with one-dimensional internal dynamics. Here, we show how symmetry explains the relation between dynamical behavior of systems with one-dimensional internal dynamics and with higher dimensional internal dynamics, when the underlying network topology is the same. Fundamental networks of homogeneous coupled cell systems (B. Rink, J. Sanders. Coupled Cell Networks and Their Hidden Symmetries. SIAM J. Math. Anal. 46.2 (2014)) can be expressed in terms of monoid representations, which uniquely decompose into indecomposable subrepresentations. In the high-dimensional internal dynamics case, these subrepresentations are isomorphic to multiple copies of those one computes in the one-dimensional internal dynamics case. This has interesting implications for possible center subspaces in bifurcation analysis. We describe the effect on steady state and Hopf bifurcations in l-parameter families of network vector fields. The main results in that regard are that (1) generic one-parameter steady state bifurcations are qualitatively independent of the dimension of the internal dynamics and that, (2) in order to observe all generic l-parameter bifurcations that may occur for internal dynamics of any dimension, the internal dynamics has to be at least l-dimensional for steady state bifurcations and 2l-dimensional for Hopf bifurcations. Furthermore, we illustrate how additional structure in the network can be exploited to obtain even greater understanding of bifurcation scenarios in the high-dimensional case beyond qualitative statements about the collective dynamics. One-parameter steady state bifurcations in feedforward networks exhibit an unusual amplification in the asymptotic growth rates of individual cells, when these are one-dimensional (S. von der Gracht, E. Nijholt, B. Rink. Amplified steady state bifurcations in feedforward networks. Nonlinearity 35.4 (2022)). As another main result, we prove that (3) the same cells exhibit this amplifying effect with the same growth rates when the internal dynamics is high-dimensional.}}, author = {{von der Gracht, Sören and Nijholt, Eddie and Rink, Bob}}, issn = {{0960-0779}}, journal = {{Chaos, Solitons & Fractals}}, keywords = {{Coupled cell systems, Network dynamics, Dimension reduction, Bifurcation theory, Symmetry, Monoid representation theory}}, publisher = {{Elsevier BV}}, title = {{{Homogeneous coupled cell systems with high-dimensional internal dynamics}}}, doi = {{10.1016/j.chaos.2026.118196}}, volume = {{208}}, year = {{2026}}, } @article{64978, abstract = {{The degrees of freedom (DoFs) of light determine the maximum number of independent signal channels an optical system can support. However, the polarization DoF is intrinsically limited to two by orthogonality, which causes unavoidable crosstalk and often forces position multiplexing, where different channels are assigned to distinct spatial locations to suppress crosstalk. This research introduces a multilayer synchronous polarization projection method that fundamentally increases the DoF for polarization multiplexing. The DoF equals twice the number of projection layers. We experimentally demonstrate six- channel polarization multiplexing holography without position multiplexing. The six-channel multiplexing results indicate that our approach exceeds the conventional polarization multiplexing method, yielding an average 3.79 dB improvement in extinction ratio across the six channels. Compared with the theoretical limit of traditional polarization multiplexing, our method reduces crosstalk by an average of 6.52 dB across all channels in a seven-channel design. The polarization projection method breaks the DoF limitation of polarization multiplexing, opening a path toward high-dimensional photonic information encoding for communication, encryption, and imaging.}}, author = {{Jin, Xiao and Zentgraf, Thomas}}, issn = {{2577-5421}}, journal = {{Advanced Photonics}}, number = {{02}}, publisher = {{SPIE-Intl Soc Optical Eng}}, title = {{{Increasing the design degree of freedom for polarization through multilayer synchronous polarization projection}}}, doi = {{10.1117/1.ap.8.2.026010}}, volume = {{8}}, year = {{2026}}, } @article{64985, abstract = {{Modern industrial development has necessitated a wide range of joining technologies. Self-pierce riveting has become a prevalent technique for sheet metal assembly, especially in automotive applications. Achieving proper joint geometry and adequate load-bearing capacity depends on appropriate tool selection and precise process control. Material properties and condition also play a significant role in process performance. To accommodate the inevitable variations in component characteristics during production, a robust and stable joining process is essential. The study focuses on investigating the influence of preformed joining partners on the joining process and the joint's load capacity. An EN AW-6014 in T4 condition, as well as an HCT590X, are used as materials for this study. For this purpose, an exemplary process chain consisting of the steps of performing, joining, and shear load testing is studied. Each process step is implemented using an FE model to predict the outcome of subsequent steps. For analysis of the influence of pre-strain, an optimisation software is used to plan and execute variations of the process. These variations are used to create a meta-model that can describe the relationships between pre-forming and characteristic parameters of subsequent process steps. The resulting model is validated by comparing simulation and experimental data. Finally, in a novel approach, the robustness of the presented process chain is analyzed in terms of a tolerable performance level for the joining partners.}}, author = {{Ludwig, Jean-Patrick and Tolke, Emil and Schlichter, Malte Christian and Bobbert, Mathias and Meschut, Gerson}}, issn = {{2666-3309}}, journal = {{Journal of Advanced Joining Processes}}, keywords = {{Self-pierce riveting, FE modelling, Plastic pre-deformation, Meta modelling}}, publisher = {{Elsevier BV}}, title = {{{Numerical analysis of the robustness of self-pierce riveting with pre-formed joining partners}}}, doi = {{10.1016/j.jajp.2026.100391}}, volume = {{13}}, year = {{2026}}, } @article{64982, author = {{Lingnau, Kai and Theile-Rasche, Chantal and Vissing, Klaus and Moritzer, Elmar and Grundmeier, Guido and Wiesing, Martin}}, issn = {{02578972}}, journal = {{Surface and Coatings Technology}}, keywords = {{Plasmabeschichtung, Spritzgießen, Spritzgießwerkzeug, Trennschicht, ultraTrenn, Werkzeugbeschichtung}}, pages = {{133280}}, title = {{{Mechanisms of deposit formation in injection moulding cavities and the role of tool coatings and internal release agents}}}, doi = {{10.1016/j.surfcoat.2026.133280}}, volume = {{524}}, year = {{2026}}, } @inbook{64837, author = {{Jacke, Christoph}}, booktitle = {{Bored Teenabgers . Ein Punk-Mixtape.}}, editor = {{Engelmann, Jonas}}, isbn = {{978-3-95575-258-3}}, pages = {{99--101}}, publisher = {{Ventil Verlag}}, title = {{{Swell Maps: Full Moon in My Pocket/BLAM!!/Full Moon Reprise. Vollmond auf dem kleingroßstädtischen Musikkneipenboden}}}, year = {{2026}}, } @misc{65010, author = {{Landgräber, Jan and Schöppner, Volker and Brüning, Florian}}, booktitle = {{Kunststoffe}}, number = {{01}}, pages = {{22 -- 25}}, title = {{{Der Einzug als Schlüssel zum Erfolg: Untersuchung des Einzugsverhaltens bei Spritzgießaggregaten}}}, year = {{2026}}, } @unpublished{65017, abstract = {{Static Application Security Testing (SAST) tools play a vital role in modern software development by automatically detecting potential vulnerabilities in source code. However, their effectiveness is often limited by a high rate of false positives, which wastes developer's effort and undermines trust in automated analysis. This work presents a Graph Convolutional Network (GCN) model designed to predict SAST reports as true and false positive. The model leverages Code Property Graphs (CPGs) constructed from static analysis results to capture both, structural and semantic relationships within code. Trained on the CamBenchCAP dataset, the model achieved an accuracy of 100% on the test set using an 80/20 train-test split. Evaluation on the CryptoAPI-Bench benchmark further demonstrated the model's practical applicability, reaching an overall accuracy of up to 96.6%. A detailed qualitative inspection revealed that many cases marked as misclassifications corresponded to genuine security weaknesses, indicating that the model effectively reflects conservative, security-aware reasoning. Identified limitations include incomplete control-flow representation due to missing interprocedural connections. Future work will focus on integrating call graphs, applying graph explainability techniques, and extending training data across multiple SAST tools to improve generalization and interpretability.}}, author = {{Ohlmer, Tom and Schlichtig, Michael and Bodden, Eric}}, booktitle = {{arXiv:2603.10558}}, title = {{{FP-Predictor - False Positive Prediction for Static Analysis Reports}}}, year = {{2026}}, }