TY - CHAP A1 - Preiß, Niklas A1 - Westner, Markus T1 - From Agents to Copilots: a Systematic Review of Digital Assistant Technology Adoption in Proprietary Productivity Software T2 - Annals of Computer Science and Information Systems N2 - This study provides a systematic review of how the impact and adaptation of digital assistant technologies (DATs) are defined, operationalized, and studied, synthesizing key domains where DATs generate or are expected to generate value. Based on an analysis of 61 articles published since 2013, it identifies five main areas of impact: productivity and efficiency, business development, resource optimization, quality enhancement, and the promotion of learning and creativity. The review highlights DAT adoption across various disciplines and industries, while revealing limited longitudinal research on benefits and adaptation. Key gaps remain in understanding strategic use and sustained impact. Future research should explore longitudinal comparisons of recently introduced generative AI-driven DATs and their organizational implications. This review contributes to information systems research by structuring current knowledge on DAT adoption and outcomes, and by proposing a research agenda to support deeper exploration of their value and long-term integration. KW - Digital Assistant Technology KW - Copilot KW - Generative AI KW - Technology Adoption KW - Productivity Y1 - 2025 U6 - https://doi.org/10.15439/2025F3271 SN - 2300-5963 VL - 43 SP - 565 EP - 576 PB - Polish Information Processing Society ER - TY - JOUR A1 - Käss, Sebastian A1 - Strahringer, Susanne A1 - Westner, Markus T1 - Archetypes, Situations, and Practices : a Guide to Successful Low-Code Adoption JF - Information Resources Management Journal N2 - This paper extends prior work on low-code by explaining when adoption archetypes occur and how to use them. Motivated by information technology (IT) talent shortages and uneven low-code development platform (LCDP) outcomes, the paper seeks practical guidance for post-adoption choices in work systems. Using a multiple mini case study of 36 cases in large German organizations, this study analyzes interviews and context questionnaires with within-/cross-case coding and pattern matching against a 13-factor model. This analysis identifies situations that trigger three adoption archetypes—application development democratizers, synergy realizers, and IT resource shortage mitigators—and one non-adoption archetype, intricacy adversaries. The analysis also maps advantages and disadvantages and distills 12 good practices. Across adoption cases, efficiency is the dominant goal, whereas non-adoption stems from high application sophistication. The results give actionable guidance: align goals to an archetype, stick to LCDP standards, involve IT and foster an open culture, invest in skilling, reuse platform components, and reserve LCDPs for less-complex apps while planning architecture early. KW - Business-managed IT KW - Low-Code Development KW - Citizen Development KW - Shadow IT KW - Multiple Mini Case Studies KW - Work Systems Theory KW - Good Practices Y1 - 2025 U6 - https://doi.org/10.4018/IRMJ.396005 SN - 1040-1628 VL - 38 IS - 1 PB - IGI Global ER - TY - CHAP A1 - Sachenbacher, Martin A1 - Leucker, Martin T1 - Towards Monitoring and Diagnosis of Quantum Digital Twins T2 - Lecture Notes in Informatics (LNI) N2 - As access to larger-scale quantum computers is still limited, it is useful to simulate quantum algorithms on specialized programmable logic hardware such as FPGAs to exploit analogies between quantum and digital circuits, and allow for analysis and efficient debugging of quantum programs. Such simulations can be viewed as digital representations of actual physical systems, commonly referred to as Digital Twins (DTs). In previous work, we applied formal methods from runtime verification to synthesize monitors capable of real-time analysis of conventional DTs. Specifically, these monitors supervise alignment with their physical counterparts and support model-based diagnosis to identify potential root causes of observed deviations. In this short paper, we present ongoing work aimed at adapting and extending our approach to hardware-based simulation and analysis of quantum software on FPGAs, with the objective of improving both accuracy and resilience. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87546 VL - P-366 SP - 1767 EP - 1772 PB - Gesellschaft für Informatik e.V. CY - Bonn ER - TY - CHAP A1 - Albrecht, Sophie Viktoria A1 - Thiel, Charlotte A1 - Karamara, Merve T1 - Decoding concrete’s environmental performance: A detailed analysis of global EPDs across the entire life cycle T2 - MATEC Web of Conferences N2 - Environmental Product Declarations (EPDs) for concrete are essential tools to quantify the environmental impact of this versatile building material throughout its life cycle, supporting sustainable choices in construction. Concrete is made up of raw materials like cement, water, aggregates, additives, and admixtures, which can be mixed in diverse ways. This variability often necessitates site-specific EPDs, as emissions and environmental impacts depend greatly on cement type, transport routes, and specific production processes. This study analyses various data sources, focusing on EPDs according to ISO 14025 and EN 15804. The life cycle phases A1-A3, B1-B7, C1-C4 and D are considered and compared. The results demonstrate that factors such as scenario assumptions, methodological choices, and allocation procedures significantly influence concrete’s environmental impact. Transparent EPDs improve assessment reliability, while allocation methods, especially in phases D and end-of-life, significantly influence reported benefits, underscoring the importance of careful allocation for accurate impact evaluations. Improved standardisation, transparency, and alignment with EN 16757 would enhance EPD comparability and reliability. Overall, the study identifies key parameters such as recycling potential, production stage and allocation methods as substantial factors in the environmental performance of concrete. Y1 - 2025 U6 - https://doi.org/10.1051/matecconf/202540913001 VL - 409 PB - EDP Sciences CY - Les Ulis ER - TY - JOUR A1 - Qiao, Yu A1 - Grad, Marius A1 - Nonn, Aida T1 - Toward an Efficient and Robust Process–Structure Prediction Framework for Filigree L-PBF 316L Stainless Steel Structures JF - Metals N2 - Additive manufacturing (AM), particularly laser powder bed fusion (L-PBF), provides unmatched design flexibility for creating intricate steel structures with minimal post-processing. However, adopting L-PBF for high-performance applications is difficult due to the challenge of predicting microstructure evolution. This is because the process is sensitive to many parameters and has a complex thermal history. Thin-walled geometries present an added challenge because their dimensions often approach the scale of individual grains. Thus, microstructure becomes a critical factor in the overall integrity of the component. This study focuses on applying cellular automata (CA) modeling to establish robust and efficient process–structure relationships in L-PBF of 316L stainless steel. The CA framework simulates solidification-driven grain evolution and texture development across various processing conditions. Model predictions are evaluated against experimental electron backscatter diffraction (EBSD) data, with additional quantitative comparisons based on texture and morphology metrics. The results demonstrate that CA simulations calibrated with relevant process parameters can effectively reproduce key microstructural features, including grain size distributions, aspect ratios, and texture components, observed in thin-walled L-PBF structures. This work highlights the strengths and limitations of CA-based modeling and supports its role in reliably designing and optimizing complex L-PBF components. Y1 - 2025 U6 - https://doi.org/10.3390/met15070812 SN - 2075-4701 VL - 15 IS - 7 PB - MDPI ER - TY - JOUR A1 - Kranz, Michael A1 - Wagner, Maria Stella A1 - Pointner, Daniel A1 - Haus, Moritz A1 - Lubnow, Matthias A1 - Lehle, Karla A1 - Krenkel, Lars T1 - Polymer embedding of membrane lungs for histological investigations of intra-device clot formation JF - Cardiovascular Medicine N2 - Extracorporeal membrane oxygenation (ECMO) is an invasive but potentially lifesaving treatment option for severe cardiac or respiratory failure. Despite its beneficial effect, coagulation-related complications, mainly due to clot formation, excessive bleeding and the accumulation of deposits in the membrane lung (ML) remain common, causing higher mortality. In this context, the formation of clots and other deposits in the ML is of particular interest. Previous histological examinations of the polymethylpentene fiber mats inside the ML could only be performed in a top view, prohibiting valid quantification and examination of the multi-layered deposits or fiber mat spanning structures. Our objective was the establishment of a polymer embedding to increase the mechanical stability of the deposits and thus enable cross-sectional microtome cutting through the ML hollow-fibers. Clinically used MLs (PLS, Getinge, Rastatt, Germany) were stabilized with a polymer resin (HistoCURE 8100). Specimens were cut out of the embedded MLs and microtome sections with a thickness of 10 µm were performed. In addition to standard histological staining with hematoxylin-eosin (HE) and Pappenheim (May-Grunwald-Giemsa), fluorescence DNA staining for nucleated cells with 4′,6-diamidino-2-phenylindole (DAPI) and SYTOX™ Green as well as immunohistochemical and immunofluorescence staining for the lysosomal enzyme myeloperoxidase (MPO) and von Willebrand factor (vWF) were established. The protocol provides a method for large volume embedding (400 mL). The cellular and extracellular deposits were securely fixed by the polymer scaffold allowing the examination of clots in MLs in native position which was not possible with conventional paraffin embedding. Multi-layered deposits and fiber mat spanning structures are no longer disrupted during specimen extraction and can now be quantified. Staining with HE, Pappenheim, DAPI, SYTOX™ Green, MPO, and vWF was successfully tested with this protocol. This method may be the foundation for new insights into the complex clotting phenomena observed in MLs KW - clot formation KW - ECMO KW - HistoCURE 8100 KW - histology KW - membrane lungs KW - polymer embedding KW - Technovit 8100 Y1 - 2026 U6 - https://doi.org/10.3389/fcvm.2026.1650978 VL - 13 PB - Frontiers CY - Lausanne ER - TY - CHAP A1 - Wagner, Bernd A1 - Hay, Stefan A1 - Neidhart, Thomas A1 - Spirkl, Florian A1 - Ried, Michael A1 - Zrenner, Louis A1 - Weidlich, Ingo A1 - Gabriel, Eugen A1 - Banning, Timo ED - Vanhoudt, Dirk T1 - TFSB as Bedding Material in District Heating Pipe Constructin - Scientifically Proven Long-Term Experience T2 - Proceedings of the 19th International Symposium on District Heating and Cooling; 2025, Genk (Belgium) N2 - Following the explanation of the increasing importance of alternative backfill materials like TFSB, TFSB and their status in terms of science and technology are depicted. Selected results of the research project FW-ZFSV 4.0 are presented: computer-aided static calculation, in situ long term loading of district heating pipes in TFSB and sand, quality assurance and resource conservation. The conclusions provide an overall assessment of the use of TFSB in district heating pipe construction. Y1 - 2026 SN - 9783032098443 U6 - https://doi.org/10.1007/978-3-032-09844-3_10 SP - 99 EP - 108 PB - Springer CY - Cham ER - TY - JOUR A1 - Weber, Karsten T1 - Public images of artificial intelligence: an overview JF - media-culture-social communication N2 - Artificial intelligence (AI) is not only a ubiquitous topic in scholarly debates but in recent years has also received increased media and political attention. Discussions, initially strongly influenced by autonomous vehicles but currently dominated by expectations concerning generative AI such as ChatGPT, have contributed to public awareness. There are debate cycles, often characterized by a significant decline in public attention after a certain period of time, and the issue to a large extent or completely disappears from mass media’s agenda; also, they are often specific to certain countries. In this paper, a cursory cross-country overview concerning studies on media representations and the public perception of AI is provided. The use of AI in healthcare will be particularly highlighted, as there are currently high expectations regarding the benefits of AI, but other areas of application will also be considered. It will be tentatively concluded that in many countries, public perception of and public attitudes toward AI often is based on superficial knowledge and even prejudices. Y1 - 2025 U6 - https://doi.org/10.31648/mcsc.10343 IS - 21 SP - 9 EP - 24 PB - Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego w Olsztynie CY - Olsztyn ER - TY - JOUR A1 - Glavan, Gašper A1 - Belyaeva, Inna A. A1 - Shamonin (Chamonine), Mikhail T1 - Multiferroic Cantilevers Containing a Magnetoactive Elastomer: Magnetoelectric Response to Low-Frequency Magnetic Fields of Triangular and Sinusoidal Waveform JF - Sensors N2 - In this work, multiferroic cantilevers comprise a layer of a magnetoactive elastomer (MAE) and a commercially available piezoelectric polymer-based vibration sensor. The structures are fixed at one end in the horizontal plane and the magnetic field is applied vertically. First, the magnetoelectric (ME) response to uniform, triangle-wave magnetic fields with five different slew rates is investigated experimentally. Time and field dependences of the generated voltage, electric charge, and observed mechanical deflection are obtained and compared for four different thicknesses of the MAE layer. The ME responses to triangular and sinusoidal wave excitations are examined in contrast. Second, the ME response at low frequencies (≤3 Hz) is studied by the standard method of harmonic magnetic field modulation. The highest ME coupling coefficient is observed in the bias magnetic field strength of ≈73 kA/m and it is estimated to be about 3.3 ns/m (ME voltage coefficient ≈ 25 V/A) at theoretically vanishing modulation frequency (f→0 Hz). Presented results demonstrate that the investigated heterostructures are promising for applications as magnetic-field sensors and energy harvesting devices. KW - magnetoactive elastomer KW - piezoelectric polymer KW - multilayer cantilever KW - direct magnetoelectric effect KW - magnetic field sensing Y1 - 2022 U6 - https://doi.org/10.3390/s22103791 N1 - Corresponding authors: Gašper Glavan und Mikhail Shamonin Veröffentlichtes Datenset: https://doi.org/10.5281/zenodo.14651784 VL - 22 IS - 10 SP - 1 EP - 17 PB - MDPI CY - Basel ER - TY - CHAP A1 - Deutel, Mark A1 - Mallah, Maen A1 - Wissing, Julio A1 - Scheele, Stephan ED - Vermesan, Ovidiu ED - Pagani, Alain ED - Meloni, Paolo T1 - Recent Trends in Edge AI: Efficient Design, Training and Deployment of Machine Learning Models T2 - Charting the Intelligence Frontiers – Edge AI Systems Nexus N2 - With a rising demand for ubiquitous smart systems, processing and interpreting large quantities of data generated on the edge at a high velocity is becoming an increasingly important challenge. Machine learning (ML) models such as Deep Neural Networks (DNNs) are an essential tool of today’s artificial intelligence due to their ability to make accurate predictions given complex tasks and environments. However, Deep Learning is computationally complex and energy intensive. This seems to contradict the characteristics of many edge devices, which have only limited memory, computational resources, and energy budget available. To overcome this challenge, an efficient ML model design is crucial that incorporates available optimization techniques from hardware, software, and methodological perspective to enable energy-efficient deployment and operation on the edge. This work comprehensively summarizes recent techniques for training, optimizing, and deploying ML models targeting edge devices. We discuss different strategies for finding deployable ML models, scalable DNN architectures, neural architecture search, and multi-objective optimization approaches, to enable feasible trade-offs considering available resources and latency. Furthermore, we give insight into DNN compression methods such 182as quantization and pruning. We conclude by investigating different forms of cascaded processing, from simple multi-level approaches to highly branched compute graphs and early-exit DNNs. Y1 - 2026 SN - 9788743808862 U6 - https://doi.org/10.1201/9788743808862-9 SP - 181 EP - 220 PB - River Publishers CY - New York ER -