@article{67373, author = {{Trienens, Malte and Busch, Vanessa and Wyrwich, Fabian and Hovemann, Aschot and Dumitrescu, Roman}}, issn = {{2212-8271}}, journal = {{Procedia CIRP}}, pages = {{1070--1075}}, publisher = {{Elsevier BV}}, title = {{{Unleashing the Potential of the Digital Product Passport in Engineering: A Structured Map for Sustainable Product Design}}}, doi = {{10.1016/j.procir.2026.05.394}}, volume = {{142}}, year = {{2026}}, } @article{67374, author = {{Wyrwich, Fabian and Trienens, Malte and Hanke, Fabian and Hovemann, Aschot and Dumitrescu, Roman}}, issn = {{2212-8271}}, journal = {{Procedia CIRP}}, pages = {{776--781}}, publisher = {{Elsevier BV}}, title = {{{Closing the Gap: A Four-Step Maturity Assessment for Digital Engineering Technologies}}}, doi = {{10.1016/j.procir.2026.05.345}}, volume = {{142}}, year = {{2026}}, } @phdthesis{67397, abstract = {{Android applications collecting data from users must comply with legal frameworks to ensure data protection. This requirement has become even more important since the implementation of the General Data Protection Regulation (GDPR) by the European Union in 2018. In practice, GDPR compliance involves conducting effective privacy assessments, requiring close collaboration between stakeholders with diverse expertise-including developers, privacy experts, legal experts, and auditors. This thesis introduces a multi-layered definition of privacy-related data, grounded in GDPR’s notion of personal data, and presents Privacy-Relevant Input Classification Engine (PRICE), a command-line tool for statically labeling privacy-related data collected by Android apps. Using PRICE, we examine data collection patterns across Android apps and assess how accurately these apps report their data collection practices. Our analysis reveals that apps most frequently collect data capable of partially identifying users, highlighting the need for greater consistency in privacy-aware development and reporting. Complementing this analysis, we investigate developers’ experiences with Google Play Store’s Data Safety Section (DSS) through a survey and analysis of online developer discussions. This study identifies key challenges developers face in completing the DSS, including difficulties in identifying privacy-related data and limited understanding of the form.Building on these findings, the thesis explores how static program analysis can be used to automate and support privacy assessments. We introduce Assessor View, a static analysis-based web tool designed to assist multiple stakeholders involved in privacy evaluations. Assessor View provides a unified view of privacy-related dataflows and supports collaboration across technical and non-technical roles. Qualitative evaluations with technical and legal participants indicate that the tool’s warnings and guidance are valuable to Data Protection Officers and privacy experts,representing a significant step toward improving communication between legal and technical experts and streamlining privacy assessments. Finally, we extend both PRICE and Assessor View to more directly support stakeholder needs by enabling accurate, source code-driven report generation. These extensions aim to reduce manual effort, improve consistency between implemented behavior and reported disclosures, and support reliable and transparent privacy assessments. Collectively, these contributions advance the state of the art in privacy-aware software engineering and provide a foundation for more systematic, automated, and legally compliant privacy assessments of Android applications.}}, author = {{Khedkar, Mugdha}}, publisher = {{Paderborn University}}, title = {{{Assisting GDPR Compliance through Static Analysis of Android Apps}}}, doi = {{https://doi.org/10.17619/UNIPB/1-2735}}, year = {{2026}}, } @article{67394, abstract = {{Abstract Pitting corrosion is a critical durability concern for mechanically joined sheet metal components commonly used in automotive and industrial applications. The narrow interfacial gaps created during mechanical joining—typically of tens to hundreds of micrometers—lead to highly localized chemical environments with nonuniform distributions of chloride ions, hydroxide ions, and oxygen. These micro-environmental variations strongly influence pit initiation and growth, however, their impact on joint performance remains insufficiently quantified. The present numerical study investigates the sensitivity of pitting corrosion to local chemical conditions using a phase-field modeling framework. Systematic parameter variations are performed to examine how different electrolyte compositions affect pit evolution within joint interfaces. The results provide insight into corrosion-driven degradation mechanisms in mechanically joined assemblies and support future efforts to integrate corrosion modeling into the performance prediction of sheet metal components.}}, author = {{Chen, Chin and Hofmann, Martin and Wallmersperger, Thomas}}, issn = {{0972-2815}}, journal = {{Transactions of the Indian Institute of Metals}}, number = {{6}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Numerical Investigation of Pitting Corrosion in Mechanically Jointed Components}}}, doi = {{10.1007/s12666-026-03894-x}}, volume = {{79}}, year = {{2026}}, } @inproceedings{67395, author = {{Irmak, Hayrettin and Marten, Thorsten and Tröster, Thomas}}, booktitle = {{ICCS29 - 29th International Conference on Composite Structures}}, keywords = {{fibre-prestressing, residual stresses, process simulation, prepreg, dehomogenization method}}, location = {{Cagliari, Italy}}, title = {{{Analysis of the effect of fibre-prestressing on residual stresses in CFRP/steel hybrid components using a micromechanics-based finite element simulation with a dehomogenization method}}}, year = {{2026}}, } @inproceedings{67396, author = {{Irmak, Hayrettin and Marten, Thorsten and Tröster, Thomas}}, booktitle = {{RSMSE 2026 - Residual Stress in Materials Science and Engineering}}, keywords = {{fibre-prestressing, residual stresses, hybrid structures}}, location = {{Kassel, Germany}}, title = {{{The investigation of residual stress distribution in metal-CFRP hybrid structures produced by the developed fiber pre-tensioning tool concept}}}, year = {{2026}}, } @article{67270, author = {{Neuser, Moritz and Hoyer, Kay-Peter and Mann, Moritz and Benedikt Klöckner, Johann Moritz and Schaper, Mirko}}, issn = {{0264-1275}}, journal = {{Materials & Design}}, publisher = {{Elsevier BV}}, title = {{{Microstructure-based design criteria for crack-free self-pierce riveting of hypoeutectic AlSi casting alloys}}}, doi = {{10.1016/j.matdes.2026.117118}}, volume = {{271}}, year = {{2026}}, } @inproceedings{67417, author = {{Bodynek, Joanna and Gaigulo, D. and Mayer, A. and Jonas, Kristina}}, booktitle = {{Abstractband des 13. Kongresses der Gesellschaft für empirische Bildungsforschung}}, title = {{{Meta-Analyse zu den longitudinalen Zusammenhängen zwischen der morphologischen Bewusstheit und den Lesefähigkeiten von Kindern im Schulalter}}}, doi = {{10.14459/2026md1850059}}, year = {{2026}}, } @article{67418, author = {{Scharfenberg, L. and Jonas, Kristina and Bodynek, Joanna}}, journal = {{Praxis Sprache }}, number = {{4}}, pages = {{242--245}}, title = {{{Trennbaren Verben auf der Spur! Förderung der Verwendung von Partikelverben und des Verständnisses von Pronomen am Beispiel eines Escape-Rooms}}}, volume = {{71}}, year = {{2026}}, } @book{67415, author = {{Fuchs, Christian}}, pages = {{450}}, publisher = {{UVK/utb}}, title = {{{Weltkrieg und Weltfrieden im digitalen Kapitalismus. }}}, doi = {{10.36198/9783838567464}}, year = {{2026}}, } @article{67182, abstract = {{Generative artificial intelligence (GenAI) challenges core concepts in service science by blurring boundaries among resources, actors, and beneficiaries. Using service-dominant logic (SDL) as a theoretical lens, we review the distinctive properties of these concepts, introduce the agent concept into SDL, and analyze GenAI’s precise role in service exchange processes. We employ a two-phase research approach: First, we conduct a systematic literature review to derive defining properties of resources, actors, beneficiaries, and agents. We then assess eight contemporary GenAI systems against these properties. Our evidence indicates that GenAI is best understood as an operant resource and, depending on design and context, as an actor and agent. Conversely, GenAI does not qualify as a beneficiary, as it is neither individually capable of phenomenologically experiencing and determining value nor a social system of individuals with such capacities. Our findings propose an update to SDL’s core concepts and understanding, as well as a nuanced conceptual clarification of GenAI’s role, offering guidance for researchers and practitioners seeking to understand and design service interactions that incorporate GenAI.}}, author = {{Schäfer, Jannika Marie and Hansmeier, Philipp and zur Heiden, Philipp and Beverungen, Daniel}}, journal = {{Electronic Markets}}, keywords = {{Generative artificial intelligence, Service-dominant logic, Service science, Actor, Beneficiary, Agent}}, number = {{78}}, publisher = {{Springer Nature}}, title = {{{Resource, actor, beneficiary, or agent? A service‑dominant perspective on generative artificial intelligence}}}, doi = {{https://doi.org/10.1007/s12525-026-00932-w}}, volume = {{36}}, year = {{2026}}, } @inbook{65912, author = {{Vogelsang, Christoph and Riese, Josef}}, booktitle = {{Handlungsorientierung in der Ausbildung von Lehrkräften und pädagogischen Fachkräften. Konzeptionen und Forschungsperspektiven}}, editor = {{Vogelsang, Christoph and Grotegut, Lea and Bruns, Julia and Riese, Josef and Fechner, Sabine }}, pages = {{269 -- 278}}, title = {{{Das Planen prüfen. Ein Format zur handlungsnäheren Prüfung von Unterrichtsplanungskompetenz für das Lehramtsstudium im Fach Physik}}}, year = {{2026}}, } @inproceedings{67432, author = {{Förster, Nikolas and Schachten, Sebastian and Wallscheid, Oliver and Kucka, Jakub}}, booktitle = {{2026 International Power Electronics Conference (IPEC-Nagasaki 2026 - ECCE Asia)}}, publisher = {{IEEE}}, title = {{{Pareto Optimal DC-Link Capacitor Selection}}}, doi = {{10.23919/ipec-nagasaki2026-ec64663.2026.11596723}}, year = {{2026}}, } @inproceedings{67434, author = {{Foerster, Nikolas and Sack, Andreas and Wallscheid, Oliver and Kucka, Jakub}}, booktitle = {{PCIM Europe}}, keywords = {{owncontribution}}, title = {{{Experimentally Validated Pareto Optimization for a Dual-Active-Bridge Converter}}}, year = {{2026}}, } @article{65626, abstract = {{Business Process Management (BPM) is evolving rapidly. Building on a rich research portfolio that spans from early workflow automation to robotic process automation (RPA), large language models (LLMs) are the most recent disruptive technologies to influence all BPM capability areas. Particularly, these technologies fuel the emerging research fields of AI-enhanced business process management systems and autonomous process execution. In a design science research approach, we develop a modular LLM agent architecture that effectively enables the adaptation and execution of business processes. The architecture integrates a Frame Agent that can generate process descriptions and an Operational Agent that autonomously executes processes based on the Frame Agent’s process descriptions. It further enables a future Tactical Agent for autonomous process adaptations. We demonstrate the architecture’s applicability and utility with the real-world case of a meter-to-cash process, comparing it to the performance of an RPA bot. Our findings provide early insights into the challenges faced by autonomous process execution and its relation with RPA in terms of adaptability, flexibility, and complexity in autonomous process execution. While researchers can build on our findings to establish modular LLM-agent architectures for autonomous process execution, practitioners can derive early insights into the design of LLM agents for process automation.}}, author = {{Skolik, Alexander Marcus and Kaltenpoth, Sascha Benjamin and Beverungen, Daniel and Müller, Oliver}}, issn = {{0306-4379}}, journal = {{Information Systems}}, keywords = {{Business process management, Large language models, Modular agent architecture, Autonomous process execution, AI-augmented business process management systems}}, publisher = {{Elsevier BV}}, title = {{{A modular large language model agent architecture for adaptive and autonomous process-aware execution}}}, doi = {{10.1016/j.is.2026.102748}}, volume = {{141}}, year = {{2026}}, } @inbook{65497, author = {{Schmitt, Martin}}, booktitle = {{Rechnen, Zeichnen, Reden Zur Geschichte der Datenverarbeitung im langen 19. Jahrhundert}}, editor = {{Köhler, Volker}}, keywords = {{Umweltgeschichte, 19. Jahrhundert, Deutschland, Forstwirtschaft, Konrad Zuse, Datenverarbeitung, Umweltdaten}}, pages = {{35–64}}, publisher = {{Transcript}}, title = {{{Von Baumdaten zu Datenwäldern. Eine Umweltgeschichte der Informationsverarbeitung im Ausklang des langen 19. Jahrhunderts}}}, volume = {{14}}, year = {{2026}}, } @inbook{67436, author = {{Schmitt, Martin}}, booktitle = {{200 Jahre Sparkasse Leipzig 1826–2026}}, editor = {{Denzel, Markus A.}}, isbn = {{978-3-96023-726-6}}, pages = {{321–348}}, publisher = {{Leipziger Universitätsverlag}}, title = {{{Von der Sparkasse zum Rechenzentrum: Digitalisierung, Umwelt und Arbeitswandel in der Sparkasse Leipzig}}}, year = {{2026}}, } @article{67488, abstract = {{The European sustainable finance framework targets large corporations but also affects small and medium-sized enterprises (SMEs). This paper examines how European SMEs engage with sustainable finance, focusing on financing channels, use of green and capital market financing, and integration into sustainability reporting, including costs and relevance of data collection.Internal funds, traditional bank loans, and public funding programmes are the main instruments for financing SME sustainability, while capital market financing and green instruments are largely irrelevant. Traditional banking relationships continue as the primary external financing source. Many SMEs invest in sustainability without systematically collecting or reporting ESG data. Costs for sustainability reporting and ESG data collection in micro and small enterprises remain consistent with previous estimates. Despite growing “noise” around sustainable finance as a lever for the green transition, capital market financing and dedicated green finance instruments remain largely irrelevant for SMEs. Sustainability reporting is mainly driven through value chains rather than banks, indicating that market demand, not financial instruments, drives SME sustainability investment.}}, author = {{Rossmann, Felix and Greitens, Jan and Knoll, Lisa}}, issn = {{2977-7542}}, journal = {{Sustainable Finance Review}}, pages = {{1--16}}, publisher = {{Emerald}}, title = {{{Small and medium-sized enterprises and sustainable finance – European survey results}}}, doi = {{10.1108/sfr-01-2026-0019}}, year = {{2026}}, } @inbook{67495, author = {{Frankemölle, Bernd and Wiesche, David and Göbel, Kerstin}}, booktitle = {{Peer-to-Peer-Konzepte in der Sprachendidaktik. Theorie und Praxis für die Hochschullehre}}, editor = {{Blume, Carolyn and Marci-Boehncke, Gudrun and Ronan, Patricia}}, isbn = {{978-3-8394-7313-9}}, pages = {{207--230}}, publisher = {{Transcript}}, title = {{{Inter- und transkulturelles Lernen mit digitalen Aufgaben im Fremdsprachenunterricht? Perspektiven von Fremdsprachenlehrpersonen auf ein kulturdidaktisches Online-Fortbildungskonzept}}}, doi = {{https://doi.org/10.14361/9783839473139}}, year = {{2026}}, } @unpublished{67494, abstract = {{The quadratic sieve (QS) is an irregular, cache-hostile, branch-heavy integer factorization algorithm; prior GPU work accelerates individual stages of it. We present \swname{}, a self-initializing quadratic sieve in which \emph{every} stage --- polynomial initialization, sieving, relation post-processing, large-prime matching, \GFtwo{} matrix construction, Block Wiedemann linear algebra and the square root --- executes on the GPU, the CPU restricted to orchestration, setup and I/O, the sieve window 99.9\% GPU-busy with no device-wide or event synchronization and no synchronous copy. With it we factored the 512-bit RSA-155 challenge modulus end to end on GPUs: a 64$\times$H100 sieve feeding a single-H100 \GFtwo{} solve, 700.6~GPU-h and 242~kWh in total, 98.4\% of it sieving. To our knowledge this is the largest integer factored by the quadratic sieve, exceeding the prior QS record RSA-150 (Buhrow, YAFU, 2025); all comparable general factorizations since 1996, RSA-155's own in 1999 included, used the number field sieve. On a single device we factor RSA-100 in 29.2~s on an H100 and 51.0~s on a consumer RTX~5070~Ti; in a controlled same-modulus measurement, with energy measured on both sides, the H100 is faster than the fastest CPU quadratic sieve, YAFU, on 96 cores of an EPYC~9655 (106--122~s), and than CADO-NFS's SIQS (292~s) and GNFS (263~s). Across four discrete GPUs (a 3.7$\times$ range in CUDA cores) RSA-100 throughput is close to proportional to core count, memory bandwidth being a weaker predictor, and measured cost over seven benchmark factorizations from RSA-100 to RSA-155 grows as $\LN{1/2}{1}^{1.04}$ ($R^2=0.993$). On RSA-150, the identical modulus on which the prior QS record was set, we measure 302.9~GPU-h against that run's 11{,}664 core-hours.}}, author = {{Januszewski, Fabian and Heinrichs, Christoph}}, booktitle = {{arXiv:2610.07126}}, title = {{{CUDA-MPQS: A GPU-Resident Self-Initializing Quadratic Sieve, and the Factorization of RSA-155}}}, year = {{2026}}, }