TY - JOUR A1 - Hennighausen, Christine A1 - Yarza Navarro-Schär, Vanessa Gabriela A1 - Eller, Eric T1 - AI-Mediated Communication in E-Commerce: Implications for Customer Trust JF - International Journal of Consumer Studies N2 - Generative artificial intelligence (AI) technologies offer new potential for marketing and customer operations, such as automation and personalization of customer service. However, more must be understood about how AI‐mediated communication (AI‐MC) affects customer trust. We conducted an online experiment to investigate the impact of AI‐MC on customer trust in an online retail context. We presented N = 294 participants with two email scenarios describing a product return context, labeled as written by either (a) a service employee, (b) a service employee assisted by AI, or (c) AI on behalf of the service employee. We further varied levels of service criticality to consider customers' perception of vulnerability. Our findings revealed higher customer trust ratings in the online retailer when the email communications were written by the service employee, compared to those written by the service employee assisted by AI. When analyzing the different components of trust, it was found that communications written by the service employee assisted by AI reduced perceptions of both the online retailer's benevolence and integrity, while communications written by AI on behalf of the employee led to lower perceived integrity of the online retailer. Surprisingly, service criticality did not affect trust ratings. We discuss the managerial implications of integrating generative AI into customer service in the context of the EU AI Act, which came into force on 1 August 2024. UR - https://doi.org/10.1111/ijcs.70111 Y1 - 2025 UR - https://doi.org/10.1111/ijcs.70111 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-62426 SN - 1470-6431 VL - 49 IS - 5 PB - Wiley CY - Oxford ER - TY - JOUR A1 - Nikoloski, Marjan A1 - Botzen, Wouter A1 - Talevi, Marta A1 - Blasch, Julia A1 - Banerjee, Sanchayan A1 - Cazenave, M. P. T1 - Methods to Tailor Behavioural Interventions: A Systematic Review of Categorisation Approaches in (Energy) Economics JF - International Review of Environmental and Resource Economics UR - https://doi.org/10.1561/101.00000175 Y1 - 2025 UR - https://doi.org/10.1561/101.00000175 SN - 1932-1473 SN - 1932-1465 VL - 19 IS - 2 SP - 117 EP - 158 PB - Now Publishers CY - Boston ER - TY - JOUR A1 - Choe, Mungyeong A1 - Dong, Jiayuan A1 - Bosch, Esther A1 - Alvarez, Ignacio A1 - Oehl, Michael A1 - Jallais, Christophe A1 - Alsaid, Areen A1 - Jeon, Myounghoon T1 - Driving with Empathy: Workshop Report on AI-driven In-vehicle Empathic Agent Design for Automated Vehicles JF - Proceedings of the Human Factors and Ergonomics Society Annual Meeting UR - https://doi.org/10.1177/10711813251369800 Y1 - 2025 UR - https://doi.org/10.1177/10711813251369800 SN - 1071-1813 SN - 2169-5067 VL - 69 IS - 1 SP - 1770 EP - 1775 PB - Sage CY - London ER - TY - JOUR A1 - Klages, Anna-Lisa T1 - Andreas Schadauer: Wissen in Zahlen? Zur Herstellung quantitativen Wissens in der Sozialwissenschaft. Bielefeld: transcript 2022, 254 S., ISBN 978-3-8376-6398-3, 45,00 € JF - ZQF – Zeitschrift für Qualitative Forschung N2 - Mit der auf seiner Dissertation aufbauenden Monografie Wissen in Zahlen? Zur Herstellung quantitativen Wissens in der Sozialwissenschaft, zeigt Andreas Schadauer anhand von zwei empirischen Fallstudien auf, wie Umfragedaten zunächst zu Zahlen und Statistiken werden, denen im weiteren Verlauf der Rezeption ein nahezu faktischer Status der Objektivität zugeschriebenwird. Dafür zeichnet er in der ersten Fallstudie den Weg der Daten nach, die im Rahmen der Household Finance and Consumption Survey (HFCS) der Österreichischen Nationalbank (OeNB) zwischen 2010–2011 generiert wurden. Als zweite Fallstudie wählt er die österreichische Immobilienvermögenserhebung von 2008, die zum Zeitpunkt der Feldforschung bereits abgeschlossen war. Beide Datensätze wurden mit dem Anspruch an Repräsentativität generiert und stellen in der österreichischen Debatte um die nationale Vermögensverteilung wichtige Referenzen dar. Mit den „multi-sited“ (S. 19, 59 ff., Hervorh. i. Orig.) Fallstudien verfolgt Schadauer zwei Ziele: Zum einen hinterfragt er ein in vielen Gesellschaftsteilen vorherrschendes normativ-positivistisches Wissenschaftsverständnis, welches er als elementar für die unkritische Rezeption von Statistiken als die Abbildung von Realität im Singular sieht. Zum anderen stellt er sich „gegen die Vorstellung, Wissenschaft werde von der Gesellschaft determiniert und Erfolg hänge dann davon ab, was gesellschaftlich vorgegeben und akzeptiert wird (vgl. z. B. Bloor, 1991)“ (S. 16). Um sich diesen Zielen anzunähern, geht er der Frage nach, wie Zahlen und Statistiken so wichtig werden, dass sie mediale wie politische Diskurse formen, gar für Gesellschaftsgruppen beziehungsweise eine ganze Nation sprechen können. UR - https://doi.org/10.3224/zqf.v26i1.09 Y1 - 2025 UR - https://doi.org/10.3224/zqf.v26i1.09 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61689 SN - 2196-2138 VL - 26 IS - 1-2025 SP - 116 EP - 120 PB - Verlag Barbara Budrich CY - Leverkusen ER - TY - JOUR A1 - Kuth, Bastian A1 - Oberberger, Max A1 - Kawala, Felix A1 - Reitter, Sander A1 - Michel, Sebastian A1 - Chajdas, Matthäus A1 - Meyer, Quirin T1 - Real-time meshlet decompression JF - Computers & Graphics UR - https://doi.org/10.1016/j.cag.2025.104292 Y1 - 2025 UR - https://doi.org/10.1016/j.cag.2025.104292 SN - 1873-7684 SN - 0097-8493 VL - 2025 IS - 131 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Weihmayr, Daniel A1 - Birkner, Christian A1 - Marzbani, Hormoz A1 - Jazar, Reza T1 - Data-Driven Vehicle Dynamics: Lever-Aging SINDy for Optimization-Based Vehicular Motion Planning JF - IEEE Access N2 - Motion planning remains a crucial challenge for the widespread adoption of autonomous vehicles. This paper presents a novel approach that integrates an empirical plant model within an optimization-based motion planning architecture. The model prioritizes performance and efficiency while maintaining interpretability. We introduce a methodology that utilizes a data-driven approach to derive an interpretable description of the evolution of vehicle states over time using sparse regression. This method allows effective learning from limited datasets, eliminating the need for extensive and expensive data collection. Our approach addresses the trade-off between performance and accuracy, enabling adaptation to diverse driving scenarios. We affirm the efficacy of our methodology via an extensive analysis, evaluating the independent prediction performance across diverse metrics. Additionally, we examine the overall tracking performance when incorporated into an optimization-based framework. Finally, we present a comparative analysis and discuss the subsequent impact on overall motion planning and decision-making in relation to a state-of-the-art single-track model. UR - https://doi.org/10.1109/ACCESS.2025.3594892 Y1 - 2025 UR - https://doi.org/10.1109/ACCESS.2025.3594892 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61981 SN - 2169-3536 VL - 13 SP - 136584 EP - 136597 PB - IEEE CY - New York ER - TY - JOUR A1 - Kwisda, Sebastian A1 - Kremer, Malte A1 - Sievertsen, Niels A1 - Gassmann, Oliver A1 - Hartl, Dominik A1 - Schuhmacher, Alexander T1 - Does pharma R&D need a strategic reset? Adapting to a changing US landscape JF - Drug Discovery Today N2 - R&D productivity has long challenged research-based pharmaceutical companies, raising concerns about the sustainability of their research-driven business models. These firms have traditionally relied on the U.S. as a stable hub for biomedical innovation, skilled talent, and high-price markets—supporting the biotech-leveraged pharma company (BIPCO) model However, recent geopolitical shifts—especially under the new Trump administration, including FDA budget cuts, reduced U.S. research funding, and pharmaceutical tariffs—are destabilizing this foundation. The once-reliable “safe harbor” is no longer secure. As a result, pharma R&D now faces strategic risks beyond its prior scope. With the weakening of the U.S.-centered innovation model, companies must rethink R&D pipelines, secure key technologies, maintain global clinical networks, and adjust supply chain and tax strategies. The viability of the current R&D model—rooted in U.S. leadership and premium markets—is now uncertain, requiring urgent strategic realignment. UR - https://doi.org/10.1016/j.drudis.2025.104442 Y1 - 2025 UR - https://doi.org/10.1016/j.drudis.2025.104442 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61966 SN - 1878-5832 VL - 30 IS - 9 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Schweiger, Stefan A1 - Janes, Abeer A1 - Pfeiffer, Julia T1 - Shifting expectations – how the responsibility for the habitability of the planet is shifting JF - Environmental Sociology UR - https://doi.org/10.1080/23251042.2025.2542003 Y1 - 2025 UR - https://doi.org/10.1080/23251042.2025.2542003 SN - 2325-1042 PB - Taylor & Francis CY - London ER - TY - JOUR A1 - Mehta, Kedar A1 - Lamba, Ravita A1 - Sinha, Sunanda A1 - Kumar, Nand T1 - BIPV in India: Opportunities, challenges, and pathways for urban planning and smart cities JF - Solar Compass N2 - As India urbanizes rapidly, sustainable energy solutions have become a priority to meet rising energy demands and mitigate environmental impacts. Building-Integrated Photovoltaics (BIPV) offer a promising approach to harness solar energy within urban infrastructure, transforming buildings into renewable energy assets. Unlike conventional rooftop PV systems, BIPV maximizes urban space utilization while enhancing architectural aesthetics and energy efficiency. However, the adoption of BIPV in India remains limited due to factors such as regulatory barriers, lack of standardized designs, and high initial costs. This study uses SWOT (Strengths, Weaknesses, Opportunities, Threats) and TOWS (Threats, Opportunities, Weaknesses, Strengths) analyses to assess the potential, opportunities, and challenges of BIPV in India’s urban planning. It then discusses policy implications and offers practical recommendations for implementation in Indian cities. Key findings of this study indicate that BIPV adoption in India can significantly contribute to urban sustainability by reducing carbon emissions, improving energy self-sufficiency, and lowering long-term operational costs. The SWOT and TOWS analysis reveal that while BIPV presents opportunities for smart urban integration, challenges such as high initial investments and lack of awareness must be addressed through targeted policies and incentives. Additionally, global case studies highlight successful BIPV implementations, providing valuable lessons for India’s urban planning strategies. UR - https://doi.org/10.1016/j.solcom.2025.100133 Y1 - 2025 UR - https://doi.org/10.1016/j.solcom.2025.100133 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61824 SN - 2772-9400 VL - 2025 IS - 15 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Nikoloski, Marjan A1 - Botzen, Wouter A1 - Banerjee, Sanchayan A1 - Blasch, Julia T1 - Clustering Dutch citizens into behavioural phenotypes to understand green energy investment preferences JF - Economics Letters N2 - People differ in their underlying economic preferences and needs for energy retrofits. Accelerating the energy transition, therefore, requires tailoring personalised solutions for distinct groups of individuals. In this paper, we create behavioural phenotypes of green energy investors in the residential sector of the Netherlands. Using a latent class analysis on a representative sample of 2245 respondents, we identify four distinct classes of investors: Comfort-driven Rationalists, Financially Driven Rationalists, Policy-driven Environmentalists, and Erratic Choosers. We innovate upon the literature by linking class profiling to economic preferences and behavioural biases, alongside socio-demographic and household characteristics. Our findings can help practitioners design bottom-up tailored behavioural interventions to accelerate the uptake of green energy investments. UR - https://doi.org/10.1016/j.econlet.2025.112566 Y1 - 2025 UR - https://doi.org/10.1016/j.econlet.2025.112566 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61707 SN - 1873-7374 SN - 0165-1765 VL - 2025 IS - 255 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Weller, Julian A1 - Nalavade, Sumit A1 - Gmelch, Oliver A1 - Migenda, Nico A1 - Heuwinkel, Tim A1 - Dumitrescu, Roman T1 - Advanced Analytics in Smart Factories: Towards an actionable Taxonomy for Prescriptive Analytics Use Cases JF - Procedia CIRP N2 - Prescriptive analytics use cases support in the decision-making process and focus on providing actionable guidance (e.g. in the smart factory) based on a set of problems and possible solutions. Smart factories represent the core of Industry 4.0 and can greatly benefit from the implementation of advanced analytics use cases. Prescriptive analytics enables operational excellence in smart factories by providing actionable insights and decisions to (autonomously) steer and govern areas of a factory. Still, a widespread adoption of principles of prescriptive analytics is not reached, due to the complexity and interconnectivity of different use cases. Additionally, a lack of methodological support for developing prescriptive analytics use cases is observed. We support the adoption and ideation of prescriptive analytics use cases by providing a taxonomy for prescriptive analytics use cases in smart factories for researchers. To make the findings from the taxonomy actionable, we develop a concept on how to transform existing analytics use cases or use case ideas into prescriptive analytics use cases to support practitioners. We focus on the transformation of existing analytics use cases into prescriptive analytics use cases to lower the barrier to entry for the development of prescriptive use cases. The findings are based on the taxonomy development method by Nickerson. Our evaluation is supported by expert interviews as well as focus groups. UR - https://doi.org/10.1016/j.procir.2025.03.016 Y1 - 2025 UR - https://doi.org/10.1016/j.procir.2025.03.016 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61634 SN - 2212-8271 VL - 2025 IS - 134 SP - 229 EP - 234 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Piendl, Daniel A1 - Radtke, Maximilian-Peter A1 - Jacobsen, Hendrik A1 - Bock, Jürgen A1 - Zaeh, Michael T1 - Predictive Maintenance of Ball Screws: A Comparative Study Using Real-World Industrial Data JF - Procedia CIRP N2 - Ball screws are widely used in machine tool feed drives. With increasing degradation of the ball screws, machining accuracy and economic efficiency decrease. Past investigations have shown that condition monitoring models can predict this degradation. However, these models are typically trained and evaluated using datasets derived from test benches, questioning their applicability to real machine tools. In this article, a comparative evaluation of a selection of these condition monitoring models using an industrial dataset is described. This dataset consists of measurement data from a total of nine ball screws used in three machine tools until failure. It was shown that when using data of multiple ball screws or machines, artificial neural networks or automated machine learning methods achieve a higher accuracy than statistical methods. However, for smaller datasets, statistical methods perform almost as well. The results provide an insight into the industrial applicability of the evaluated condition monitoring models. UR - https://doi.org/10.1016/j.procir.2025.02.135 Y1 - 2025 UR - https://doi.org/10.1016/j.procir.2025.02.135 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61629 SN - 2212-8271 VL - 2025 IS - 134 SP - 390 EP - 395 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Bak, Stanley A1 - Bogomolov, Sergiy A1 - Hencey, Brandon A1 - Kochdumper, Niklas A1 - Lew, Ethan A1 - Potomkin, Kostiantyn T1 - Reachability of Koopman linearized systems using explicit kernel approximation and polynomial zonotope refinement JF - Formal Methods in System Design UR - https://doi.org/10.1007/s10703-024-00464-z Y1 - 2025 UR - https://doi.org/10.1007/s10703-024-00464-z SN - 1572-8102 VL - 66 IS - 2 SP - 307 EP - 333 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Lützow, Laura A1 - Kochdumper, Niklas A1 - Althoff, Matthias T1 - Underapproximative Methods for the Order Reduction of Zonotopes JF - IEEE Control Systems Letters N2 - Zonotopes are a widely used set representation in set-based computations due to their compact representation size and their closure under many relevant set operations. However, certain set operations, such as the Minkowski sum, increase the zonotope order, which in turn increases the computational cost of further computations. To address this issue, various order reduction techniques have been proposed, most of which focus on overapproximating the original zonotope. While overapproximations are crucial for safety verification, some applications – such as reachset-conformant identification and backward reachability analysis – require underapproximations (also referred to as inner-approximations). Besides providing a comprehensive survey of existing underapproximative order reduction methods, we propose four novel reduction methods in this letter. We analyze the computational cost of all methods and evaluate the tightness of the resulting underapproximations through numerical experiments on more than 2000 randomly generated zonotopes. The results demonstrate that our proposed methods achieve a favorable balance between computational efficiency and approximation accuracy, making them well-suited for applications in control, estimation, and system identification. UR - https://doi.org/10.1109/LCSYS.2025.3577642 Y1 - 2025 UR - https://doi.org/10.1109/LCSYS.2025.3577642 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61157 SN - 2475-1456 VL - 9 SP - 1730 EP - 1735 PB - IEEE CY - New York ER - TY - JOUR A1 - Mehta, Kedar A1 - Zörner, Wilfried T1 - Optimizing Agri-PV System: Systematic Methodology to Assess Key Design Parameters JF - Energies N2 - Agrivoltaic (Agri-PV) systems face the critical challenge of balancing photovoltaic energy generation with crop productivity, yet systematic approaches to quantifying the trade-offs between these objectives remain scarce. In this study, we identify nine essential design indicators: panel tilt angle, elevation, photovoltaic coverage ratio, shading factor, land equivalent ratio, photosynthetically active radiation (PAR) utilization, crop yield stability index, water use efficiency, and return on investment. We introduce a novel dual matrix Analytic Hierarchy Process (AHP) to evaluate their relative significance. An international panel of eighteen Agri-PV experts, encompassing academia, industry, and policy, provided pairwise comparisons of these indicators under two objectives: maximizing annual energy yield and sustaining crop output. The high consistency observed in expert responses allowed for the derivation of normalized weight vectors, which form the basis of two Weighted Influence Matrices. Analysis of Total Weighted Influence scores from these matrices reveal distinct priority sets: panel tilt, coverage ratio, and elevation are most influential for energy optimization, while PAR utilization, yield stability, and elevation are prioritized for crop productivity. This methodology translates qualitative expert knowledge into quantitative, actionable guidance, clearly delineating both synergies, such as the mutual benefit of increased elevation for energy and crop outcomes, and trade-offs, exemplified by the negative impact of high photovoltaic coverage on crop yield despite gains in energy output. By offering a transparent, expert-driven decision-support tool, this framework enables practitioners to customize Agri-PV system configurations according to local climatic, agronomic, and economic contexts. Ultimately, this approach advances the optimization of the food energy nexus and supports integrated sustainability outcomes in Agri-PV deployment. UR - https://doi.org/10.3390/en18143877 Y1 - 2025 UR - https://doi.org/10.3390/en18143877 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61136 SN - 1996-1073 VL - 18 IS - 14 PB - MDPI CY - Basel ER - TY - JOUR A1 - Laband, Dana Laureen A1 - Stöckl, Martin A1 - Mittreiter, Annedore A1 - Holzhammer, Uwe T1 - Barrier Analysis of Flexibilization of Cooling Supply Systems JF - Energies N2 - The present study examines the barriers that prevent cooling system flexibility from being optimized. In the context of an increasing reliance on renewable energy sources, the necessity for flexible energy utilization is becoming increasingly apparent. A survey and discussion groups were conducted with various stakeholders within the cooling value chain to obtain their experiences and insights regarding barriers to flexibilization. The findings point out that economic, technological, and regulatory barriers are the primary factors impeding the implementation of flexible solutions. In particular, high investment costs, complex technical implementation, a lack of information, and a complicated legal framework were identified as significant impediments. To enhance the flexibility of cooling systems, coordinated efforts are necessary to address these barriers. Practical examples, training, and the standardization and digitalization of processes could facilitate the widespread implementation of flexible cooling systems. UR - https://doi.org/10.3390/en18154133 Y1 - 2025 UR - https://doi.org/10.3390/en18154133 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-61098 SN - 1996-1073 VL - 18 IS - 15 PB - MDPI CY - Basel ER - TY - JOUR A1 - Mohd, Zubair Akhtar A1 - Schmid, Maximilian A1 - Elger, Gordon T1 - AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data JF - Scientific Reports N2 - Crack propagation in solder joints remains a major challenge impacting the thermo-mechanical reliability of electronic devices, underscoring the importance of optimizing package and solder pad designs. Traditional Finite Element Analysis (FEA) techniques for predicting solder joint lifespan often rely on manual post-processing to identify high-risk regions for plastic strain accumulation. However, this manual process can fail to detect complex and subtle failure mechanisms and purely based on averaging the creep strain and correlating it to lifetime values collected from experiments using Coffin Manson equation. To address these limitations, this study presents an Artificial Intelligence (AI) framework designed for automated 3D FEA post-processing of surface-mounted devices (SMDs) assembled to Printed Circuit Board (PCB). This framework integrates 3D Convolutional Neural Networks (CNNs) and PointNet architectures to automatically extract complex spatial features from 3D FEA data. These learned features are then linked to experimentally measured solder joint lifetimes through fully connected neural network layers, allowing the model to capture complex and nonlinear failure behaviours. The research specifically targets crack development in solder joints of ceramic-based high-power LED packages used in automotive lighting systems. This dataset included variations in two-pad and three-pad configurations, as well as thin and thick film metallized ceramic substrates. Results from the study demonstrate that the PointNet model outperforms the 3D CNN, achieving a high correlation with experimental data (R2 = 99.91%). This AI-driven, automated feature extraction approach significantly improves the accuracy and provide the more reliable models for solder joint lifetime predictions, offering a substantial improvement over traditional method. UR - https://doi.org/10.1038/s41598-025-06902-0 Y1 - 2025 UR - https://doi.org/10.1038/s41598-025-06902-0 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-60961 SN - 2045-2322 VL - 15 PB - Springer Nature CY - London ER - TY - JOUR A1 - Azzam, Mohamed A1 - Aydin, Atakhan A1 - Endisch, Christian A1 - Sauer, Dirk Uwe A1 - Lewerenz, Meinert T1 - Float Current Analysis for Lithium-Ion Battery Aging: Insights into SEI Growth and Cathode Lithiation with EIS and ICP OES JF - Journal of The Electrochemical Society N2 - This study investigates calendar-aging mechanisms in lithium-ion batteries, focusing on cathode lithiation due to decomposition of conductive salt and SEI growth, by correlating quantified float currents, capacity loss rates, and pulse resistances with changes in electrochemical impedance spectroscopy (EIS) spectra. Seven SamSung 25 R cells are aged at different float voltages with periodic EIS measurements at 30 °C. Using a pre-characterization cell, the internal processes via EIS are allocated across various states of charge and temperatures and GITT measurements are performed to derive scaling factors. GITT, float currents and capacity loss rate measurements at 30 °C enables the separation of SEI growth ISEI growth and cathode lithiation current ICL based on float current behavior across a temperature range of 5 °C to 50 °C. The distribution of relaxation times (DRT) method is employed to deconvolute overlapping electrochemical processes. EIS and DRT analyses showed significant changes in cathode charge transfer resistance and diffusion, confirming that cathode lithiation correlates substantially to elevated internal resistance at high cell voltages. The theory of ISEI growth and ICL is further supported using inductively coupled plasma atomic emission spectroscopy by quantifying elemental inventory changes and linking phosphorus release and lithium consumption to degradation mechanisms. UR - https://doi.org/10.1149/1945-7111/adef85 Y1 - 2025 UR - https://doi.org/10.1149/1945-7111/adef85 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-60922 SN - 1945-7111 VL - 172 IS - 7 PB - IOP Publishing CY - Bristol ER - TY - JOUR A1 - Afraj, Shahabaz A1 - Vaculin, Ondrej A1 - Böhmländer, Dennis A1 - Hynčík, Luděk T1 - Vehicle crash simulation models for reinforcement learning driven crash-detection algorithm calibration JF - Advanced Modeling and Simulation in Engineering Sciences N2 - The development of finite element vehicle models for crash simulations is a highly complex task. The main aim of these models is to simulate a variety of crash scenarios and assess all the safety systems for their respective performances. These vehicle models possess a substantial amount of data pertaining to the vehicle’s geometry, structure, materials, etc., and are used to estimate a large set of system and component level characteristics using crash simulations. It is understood that even the most well-developed simulation models are prone to deviations in estimation when compared to real-world physical test results. This is generally due to our inability to model the chaos and uncertainties introduced in the real world. Such unavoidable deviations render the use of virtual simulations ineffective for the calibration process of the algorithms that activate the restraint systems in the event of a crash (crash-detection algorithm). In the scope of this research, authors hypothesize the possibility of accounting for such variations introduced in the real world by creating a feedback loop between real-world crash tests and crash simulations. To accomplish this, a Reinforcement Learning (RL) compatible virtual surrogate model is used, which is adapted from crash simulation models. Hence, a conceptual methodology is illustrated in this paper for developing an RL-compatible model that can be trained using the results of crash simulations and crash tests. As the calibration of the crash-detection algorithm is fundamentally dependent upon the crash pulses, the scope of the expected output is limited to advancing the ability to estimate crash pulses. Furthermore, the real-time implementation of the methodology is illustrated using an actual vehicle model. UR - https://doi.org/10.1186/s40323-025-00288-4 Y1 - 2025 UR - https://doi.org/10.1186/s40323-025-00288-4 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-60861 SN - 2213-7467 VL - 12 IS - 1 PB - SpringerOpen CY - Berlin ER - TY - JOUR A1 - Glaas, Saskia A1 - Pham, Huong A1 - Kuonath, Angela A1 - Frey, Dieter T1 - Thriving or Withdrawing: How Job Crafting and Disengagement Shape Responses to Daily Laissez-faire Leadership JF - Journal of Business and Psychology N2 - Although laissez-faire leadership is common in organizations and has been linked to detrimental effects on employees, little is known about its daily effects and how employees cope with this type of behavior. Drawing on the job demands-resources model and using a daily diary design, we examine the daily effects of laissez-faire leadership depending on followers’ coping styles, capturing both adaptive and maladaptive responses. Specifically, we argue that the negative effect of laissez-faire leadership on next-day performance via evening job satisfaction is mitigated on days that followers engage in job crafting, while it is amplified on days that followers engage in disengagement coping. We collected data twice a day over one working week in an experience sampling study with 127 employees (i.e., after work and before bedtime; 359 data points). Our findings revealed no direct effect of laissez-faire leadership. However, there was a positive indirect effect of laissez-faire leadership on next-day performance via evening job satisfaction on days when employees engaged in high levels of job crafting, supporting its hypothesized beneficial effect. Conversely, as hypothesized, a negative indirect effect was observed on days when disengagement coping was high. By identifying the mixed effects of laissez-faire leadership, this study offers a fresh perspective that challenges the dominant view of its uniformly negative consequences, revealing how its downstream effects vary within individuals depending on their daily coping strategies. UR - https://doi.org/10.1007/s10869-025-10056-1 Y1 - 2025 UR - https://doi.org/10.1007/s10869-025-10056-1 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-60822 SN - 1573-353X PB - Springer CY - New York ER - TY - JOUR A1 - Yu, Qing A1 - Kiran, Iqra A1 - Ehrensberger, Moritz A1 - Streck, Luiza A1 - Roth, Thomas A1 - Jossen, Andreas A1 - Endisch, Christian A1 - Lewerenz, Meinert T1 - Assigning Calendar Aging during Open Circuit and Float Current Analysis to Anode and Cathode Aging Using Three-Electrode Cells JF - Journal of the Electrochemical Society N2 - Analyzing calendar aging by float current analysis, instead of solely repeating capacity tests, gains more insights into aging. However, the underlying mechanisms of the recharge current required to keep the voltage constant are not yet fully understood. Therefore, this study performs float current and additional open circuit voltage (OCV) tests on 3-electrode cells for four different voltages at 30 °C. By monitoring the potentials of the anode and the cathode over time individually, the aging rate on both electrodes and the present capacity can be calculated based on adjusting the electrode-specific OCV curves according to the voltage slippery theory. The electrode-specific aging and the capacity prediction show high agreement among both methods and the capacity tests at the end of the experiment. As a result, the capacity loss appears linear-like and is associated with the loss of active lithium mainly due to SEI formation on the anode. Additionally, a significant cathode voltage decay is observed especially for higher cell voltage. According to the literature, this is associated with cathode lithiation where the conductive salt is decomposed by inserting active lithium into the cathode masking SEI losses. Finally, OCV and float current analysis return comparable results and support present 2-electrode evaluation approaches. UR - https://doi.org/10.1149/1945-7111/ade295 Y1 - 2025 UR - https://doi.org/10.1149/1945-7111/ade295 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-60504 SN - 1945-7111 VL - 172 IS - 6 PB - IOP Publishing CY - Bristol ER - TY - JOUR A1 - Bechthold, Laura T1 - Rendering new futures or enshrining pictures of the past? The double-edged sword of using AI-generated imagery for anticipation JF - Journal of Futures Studies Y1 - 2025 UR - https://jfsdigital.org/rendering-new-futures-or-enshrining-pictures-of-the-past-the-double-edged-sword-of-using-ai-generated-imagery-for-anticipation/ SN - 1027-6084 PB - Tamkang University CY - Taipei ER - TY - JOUR A1 - Morales Torricos, Pablo A1 - Berg, Sascha A1 - Figgemeier, Egbert A1 - Endisch, Christian A1 - Lewerenz, Meinert T1 - The important role of lithiation-induced pressure change on apparent aging of lithium-ion batteries during accelerated cyclic aging tests JF - Journal of Energy Storage N2 - In assessing the lifespan of lithium-ion batteries in laboratory conditions, the measured capacity declines during accelerated cyclic aging tests but increases when the cells are left idle. This recoverable capacity loss, known in literature as apparent aging, results from an inhomogeneous lithium distribution in the anode appearing in dV/dQ and capacity difference analysis. This study explores the origin of the apparent aging by correlating lithium distribution in the anode and recoverable capacity loss, with the lithiation induced pressure change and generated electrolyte motion during cycling. To this end, we compressed five commercial pouch lithium-ion cells (NMC/Gr) with holder stiffnesses ranging from 0.9 to 15.4 MPa/mm and offset pressure from 289 to 681 kPa and subjected them to continuous cyclic aging tests. While offset pressure had no significant impact, we observed, that holder stiffnesses over 3.3 MPa/mm induces an apparent capacity loss, which is recoverable by 35 % during a resting phase. The root cause is the so-called electrolyte motion induced salt inhomogeneity (EMSI), driven by continuous high current cycling and electrolyte motion, which is intensified by higher holder stiffness but not by offset pressure. These insights are crucial for improving the accuracy of accelerated aging tests and enhancing battery lifespan predictions. UR - https://doi.org/10.1016/j.est.2025.117323 Y1 - 2025 UR - https://doi.org/10.1016/j.est.2025.117323 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-60173 SN - 2352-1538 VL - 2025 IS - 131, Part A PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Gaedicke, Sonja A1 - Haubold, Rebekka A1 - Klages, Anna-Lisa A1 - Rhein, Christian A1 - Schwertel, Tamara A1 - Tietje, Olaf T1 - Conference Report: Mapping Situational Analysis—An International Conference JF - Forum Qualitative Sozialforschung / Forum: Qualitative Social Research (FQS) N2 - In this conference report we provide insights into some of the key topics presented at the first international conference on situational analysis in Germany, held in November 2024 in Magdeburg. Central issues discussed include collaborations and feminist perspectives in practice for power-sensitive knowledge production, nonhumans and how they can be included in situational analysis through all types of mappings as well as methodical and methodological questions regarding mapping processes, interdisciplinary mapping, and the conceptualization of space in and through situational analysis. Adele CLARKE and her work were honored and celebrated at the conference. UR - https://doi.org/10.17169/fqs-26.2.4424 Y1 - 2025 UR - https://doi.org/10.17169/fqs-26.2.4424 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59992 SN - 1438-5627 VL - 26 IS - 2 PB - Freie Universität Berlin CY - Berlin ER - TY - JOUR A1 - Bilal, Mühenad A1 - Podishetti, Ranadheer A1 - Großmann, Daniel A1 - Bregulla, Markus T1 - Benchmarking CNN Architectures for Tool Classification: Evaluating CNN Performance on a Unique Dataset Generated by Novel Image Acquisition System JF - IEEE Access N2 - In this study, we introduce the ToolSurface-144 dataset, which is presented here for the first time. It comprises four subsets – Full R, Full S, Top R, and Top S – each containing 144 tool classes captured under varying illumination conditions and fields of view. A newly developed, patented imaging approach was employed to acquire the data. It is compared with conventional diffuse ring illumination to assess its effectiveness in evaluating state-of-the-art convolutional neural networks. This enabled a more targeted investigation of the role of global shape characteristics such as silhouettes versus localized features like the tool face, cutting edges, and delicate geometrical structures under different training strategies. In this study, we evaluate six state-of-the-art convolutional neural networks—AlexNet, DenseNet161, EfficientNet-B0, ResNet152, ResNet50, and VGG16—using three training strategies: fine-tuning, freezing of pre-trained layers, and training from scratch. The results show that EfficientNet-B0 consistently achieved the highest classification accuracy in nearly all experiments and data sets. Especially using the fine-tuning training strategy, the model achieved 99% accuracy in tool classification. ResNet50 benefited greatly from fine-tuning and freezing, achieving a significant increase in performance compared to training from scratch. In contrast, ResNet152, AlexNet, and VGG16 consistently showed poor classification performance, indicating difficulties regarding learning and generalisation. The results show that diffuse illumination and complete tool views provide the best classification conditions, while restricted image sections with homogeneous illumination negatively affect model performance. Among the evaluated training strategies, fine-tuning proved the most efficient training method for developing CNN models for tool classification. UR - https://doi.org/10.1109/ACCESS.2025.3574785 Y1 - 2025 UR - https://doi.org/10.1109/ACCESS.2025.3574785 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59669 SN - 2169-3536 VL - 13 SP - 96400 EP - 96422 PB - IEEE CY - New York ER - TY - JOUR A1 - Schreiber, Markus A1 - Lin, Yilei A1 - Sommer, Alessandro A1 - Wassiliadis, Nikolaos A1 - Morales Torricos, Pablo A1 - Rogge, Marcel A1 - Lewerenz, Meinert A1 - Grosu, Cristina A1 - Endisch, Christian A1 - Jossen, Andreas A1 - Lienkamp, Markus T1 - Apparent vs. true battery aging: Impact of various load characteristics on accelerated aging tests JF - Journal of Energy Storage N2 - Vehicle applications involve highly dynamic and variable operating conditions. These result from changing driving profiles and diverse driving behaviors. To accelerate battery aging tests, experiments are often based on constant load cycles. While efficient, this approach distorts the natural degradation behavior of the cells. This study compares cell aging under real-world and laboratory load conditions. For this purpose, we compare realistic driving profiles measured in a test vehicle in the field with synthetic constant power cycles. Average discharge power and charging sequences are kept identical for comparability. Results show that constant power cycles cause stronger cell aging than dynamic loads. Differential voltage analysis indicates more lithium inventory loss and active material loss at the negative electrode under static loads. Static loading also leads to strong inhomogeneity in the negative electrode and altered charge transfer and diffusion kinetics, as shown by impedance data. After 15 months of rest, the cells recovered up to 52 of lost capacity and 66 of the resistance increase. Impedance assessment and differential voltage analysis confirm the recovery and rehomogenization of the negative electrode. These findings show that conventional accelerated tests are strongly influenced by relaxation and load dynamics. As a result, their applicability to specific use cases, such as automotive applications, is strongly limited . Therefore, andraditional test strategies require reconsideration and redesign. UR - https://doi.org/10.1016/j.est.2025.116924 Y1 - 2025 UR - https://doi.org/10.1016/j.est.2025.116924 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59653 SN - 2352-1538 VL - 2025 IS - 127 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Himmels, Chantal A1 - Buchner, Claudia A1 - Schmitz, Jan A1 - Parduzi, Arben A1 - Riener, Andreas T1 - Validity of Driver Assistance Systems in Driving Simulators: A Comparative Study of Real-World Driving and Two Simulator Environments JF - International Journal of Human–Computer Interaction UR - https://doi.org/10.1080/10447318.2025.2495120 Y1 - 2025 UR - https://doi.org/10.1080/10447318.2025.2495120 SN - 1044-7318 VL - 41 IS - 23 SP - 15197 EP - 15214 PB - Taylor & Francis CY - London ER - TY - JOUR A1 - Knollmeyer, Simon A1 - Caymazer, Oğuz A1 - Großmann, Daniel T1 - Document GraphRAG: Knowledge Graph Enhanced Retrieval Augmented Generation for Document Question Answering Within the Manufacturing Domain JF - Electronics N2 - Retrieval-Augmented Generation (RAG) systems have shown significant potential for domain-specific Question Answering (QA) tasks, although persistent challenges in retrieval precision and context selection continue to hinder their effectiveness. This study introduces Document Graph RAG (GraphRAG), a novel framework that bolsters retrieval robustness and enhances answer generation by incorporating Knowledge Graphs (KGs) built upon a document’s intrinsic structure into the RAG pipeline. Through the application of the Design Science Research methodology, we systematically design, implement, and evaluate GraphRAG, leveraging graph-based document structuring and a keyword-based semantic linking mechanism to improve retrieval quality. The evaluation, conducted on well-established datasets including SQuAD, HotpotQA, and a newly developed manufacturing dataset, demonstrates consistent performance gains over a naive RAG baseline across both retrieval and generation metrics. The results indicate that GraphRAG improves Context Relevance metrics, with task-dependent optimizations for chunk size, keyword density, and top-k retrieval further enhancing performance. Notably, multi-hop questions benefit most from GraphRAG’s structured retrieval strategy, highlighting its advantages in complex reasoning tasks. UR - https://doi.org/10.3390/electronics14112102 Y1 - 2025 UR - https://doi.org/10.3390/electronics14112102 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59524 SN - 2079-9292 VL - 14 IS - 11 PB - MDPI CY - Basel ER - TY - JOUR A1 - Greßhake, Lukas A1 - Bosch, Stephan A1 - Tutunaru, Robin A1 - Holzhammer, Uwe T1 - What do you mean by ‘(un-)suitable’? Analysing the diversity of social acceptance towards the deployment of renewable energies in different landscapes JF - Journal of Land Use Science N2 - Local energy transitions are shaped by diverse stakeholder perspectives on land use, reflecting competing values, knowledge systems, and political views. This study applies the landscape services framework to systematically assess renewable energy (RE) suitability across different landscapes, capturing both ecological and socio-cultural dimensions. Through stakeholder surveys in two German regions and statistical comparative analysis, we reveal how suitability perceptions vary significantly: (1) between stakeholder groups (e.g. conservationists vs. developers), (2) across regions (industrial vs. ecological-cultural contexts), and (3) even within groups sharing similar objectives. Key findings show strong preference for RE development in industrial and agricultural zones (‘acceptance corridors’) and opposition in ecologically sensitive areas, though with notable regional exceptions. The landscape services approach proves effective in mapping these conflicts and consensus areas, providing actionable insights for spatially sensitive RE planning. Our results underscore the need to complement technical siting criteria with structured assessments of social landscape values to enable just and locally accepted energy transitions. UR - https://doi.org/10.1080/1747423X.2025.2499280 Y1 - 2025 UR - https://doi.org/10.1080/1747423X.2025.2499280 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59512 SN - 1747-4248 SN - 1747-423X VL - 20 IS - 1 SP - 117 EP - 150 PB - Taylor & Francis CY - London ER - TY - JOUR A1 - Hahn, Christoph A1 - Bednarz, Martin T1 - Economics of Polymer Electrolyte Membrane Fuel Cells JF - Tehnički glasnik N2 - Hydrogen is considered a key component of the renewable energy transition for the 21st century, with potential applications using fuel cells in the transportation sector, decentralized heating systems, and energy storage. However, the conversion from fossil fuels to hydrogen implies comprehensive research to address technological and socio economic challenges, enabling its widespread adoption. This paper discusses the economics of fuel cells. A cost analysis of the polymer electrolyte membrane fuel cells (PEMFC) is performed, and current market data and developments are presented. UR - https://doi.org/10.31803/tg-20250303145130 Y1 - 2025 UR - https://doi.org/10.31803/tg-20250303145130 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59496 SN - 1848-5588 VL - 19 IS - si1 SP - 124 EP - 129 PB - University North CY - Koprivnica ER - TY - JOUR A1 - Axmann, Bernhard A1 - Pujar, Sanket T1 - Artificial Intelligence in Knowledge Management: Overview and Selection of Software for Automotive Reporting JF - Tehnički glasnik N2 - Knowledge Management is essential for modern organizations, enabling the systematic capture, organization, and sharing of knowledge to enhance decision-making and innovation. Traditional Knowledge Management tools, focused on document storage and retrieval, struggle with unstructured data and collaboration, necessitating advanced technological solutions, particularly those incorporating Artificial Intelligence. - Artificial Intelligence-driven Knowledge Management systems revolutionize data handling through automation, and real-time insights. This is particularly valuable in data-intensive industries like automotive, finance, and healthcare. In the automotive sector, annual reports provide critical insights but are complex and time-consuming to analyze and are a complex example and therefore a good test case. Annual reports of 5 major automotive companies BMW, Volkswagen group, Toyota Motors, General Motors and Tesla were selected as the testing dataset. Artificial Intelligence tools, using natural language processing and machine learning, streamline data extraction. - Despite their benefits, organizations face challenges in selecting the right Artificial Intelligence-driven Knowledge Management software due to a lack of standardized evaluation frameworks. This research applies a systematic methodology for assessing such software, considering usability, adaptability, cost-effectiveness, and data privacy compliance, specifically tailored to automotive reporting and gives recommendation for software tools. UR - https://doi.org/10.31803/tg-20250313154901 Y1 - 2025 UR - https://doi.org/10.31803/tg-20250313154901 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59480 SN - 1848-5588 VL - 19 IS - si1 SP - 130 EP - 135 PB - University North CY - Koprivnica ER - TY - JOUR A1 - Göbel, Jan-Philipp A1 - Peuckmann, Niklas A1 - Kundinger, Thomas A1 - Riener, Andreas T1 - Fusion of Driving Behavior and Monitoring System in Scenarios of Driving Under the Influence: An Experimental Approach JF - Applied Sciences N2 - Driving under the influence of alcohol (DUI) remains a leading cause of accidents globally, with accident risk rising exponentially with blood alcohol concentration (BAC). This study aims to distinguish between sober and intoxicated drivers using driving behavior analysis and driver monitoring system (DMS), technologies that align with emerging EU regulations. In a driving simulator, twenty-three participants (average age: 32) completed five drives (one practice and two each while sober and intoxicated) on separate days across city, rural, and highway settings. Each 30-minute drive was analyzed using eye-tracking and driving behavior data. We applied significance testing and classification models to assess the data. Our study goes beyond the state of the art by a) combining data from various sensors and b) not only examining the effects of alcohol on driving behavior but also using these data to classify driver impairment. Fusing gaze and driving behavior data improved classification accuracy, with models achieving over 70% accuracy in city and rural conditions and a Long Short-Term Memory (LSTM) network reaching up to 80% on rural roads. Although the detection rate is, of course, still far too low for a productive system, the results nevertheless provide valuable insights for improving DUI detection technologies and enhancing road safety. UR - https://doi.org/10.3390/app15105302 Y1 - 2025 UR - https://doi.org/10.3390/app15105302 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59467 SN - 2076-3417 VL - 15 IS - 10 PB - MDPI CY - Basel ER - TY - JOUR A1 - Agrawal, Shiva A1 - Bhanderi, Savankumar A1 - Elger, Gordon T1 - Infra-3DRC-FusionNet: Deep Fusion of Roadside Mounted RGB Mono Camera and Three-Dimensional Automotive Radar for Traffic User Detection JF - Sensors N2 - Mono RGB cameras and automotive radar sensors provide a complementary information set that makes them excellent candidates for sensor data fusion to obtain robust traffic user detection. This has been widely used in the vehicle domain and recently introduced in roadside-mounted smart infrastructure-based road user detection. However, the performance of the most commonly used late fusion methods often degrades when the camera fails to detect road users in adverse environmental conditions. The solution is to fuse the data using deep neural networks at the early stage of the fusion pipeline to use the complete data provided by both sensors. Research has been carried out in this area, but is limited to vehicle-based sensor setups. Hence, this work proposes a novel deep neural network to jointly fuse RGB mono-camera images and 3D automotive radar point cloud data to obtain enhanced traffic user detection for the roadside-mounted smart infrastructure setup. Projected radar points are first used to generate anchors in image regions with a high likelihood of road users, including areas not visible to the camera. These anchors guide the prediction of 2D bounding boxes, object categories, and confidence scores. Valid detections are then used to segment radar points by instance, and the results are post-processed to produce final road user detections in the ground plane. The trained model is evaluated for different light and weather conditions using ground truth data from a lidar sensor. It provides a precision of 92%, recall of 78%, and F1-score of 85%. The proposed deep fusion methodology has 33%, 6%, and 21% absolute improvement in precision, recall, and F1-score, respectively, compared to object-level spatial fusion output. UR - https://doi.org/10.3390/s25113422 Y1 - 2025 UR - https://doi.org/10.3390/s25113422 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59421 SN - 1424-8220 VL - 25 IS - 11 PB - MDPI CY - Basel ER - TY - JOUR A1 - Gottwalt, Albin A1 - Kubaschinski, Paul A1 - Waltz, Manuela A1 - Tetzlaff, Ulrich T1 - Influence of shear cutting parameters on the edge properties and the fatigue behavior of non‐oriented electrical steel sheets JF - Materials Science & Engineering Technology N2 - The fatigue behavior of a fully processed, non‐oriented electrical steel sheet is investigated for different shear cutting parameters. Therefore, three cutting clearances (15 μm, 35 μm and 50 μm) in combination with two different punching tool wear states (sharp and worn) are compared regarding their mechanical properties. For this purpose, surface measurements, nanoindentation tests and stress‐controlled fatigue tests with a positive load ratio are performed for all six parameter sets. During shear cutting the material gets locally strain‐hardened and a deformed surface with micro‐notches is created. Compared to a polished reference condition, the fatigue strength of the shear‐cut sheets is severely deteriorated. However, the intensity of deterioration varies depending on the shear cutting parameters. For small cutting clearances, the highest fatigue life is observed for a sharp cutting tool. In contrast, for medium and high cutting clearances, samples that are cut with a worn tool achieve higher fatigue lives. Surface characteristics in the fracture zone, which act as a failure‐critical crack location, are considered as the main influencing factor. N2 - Das Ermüdungsverhalten eines vollständig schlussgeglühten, nicht kornorientierten Elektroblechs wird für verschiedene Parameterkombinationen während des Scherschneidens untersucht. Dazu werden drei Schnittspaltbreiten (15 μm, 35 μm und 50 μm) in Kombination mit zwei unterschiedlichen Verschleißzuständen der Stanzwerkzeugen (neuwertig und verschlissen) verglichen. Zu diesem Zweck werden für alle sechs Parametersätze Topographiemessungen, Nanohärtemessungen und spannungsgeregelte Ermüdungsversuche mit einem positiven Lastverhältnis durchgeführt. Die Schnittkanten sind als Folge des Scherschneidens lokal kaltverfestigt und es entsteht zudem eine raue Oberfläche mit Mikrokerben. Im Vergleich zu einem polierten Referenzzustand ist die Ermüdungsfestigkeit der schergeschnittenen Bleche dadurch verschlechtert. Die Intensität der Verschlechterung hängt jedoch von den Scherschneidparametern ab. Bei kleinen Schnittspalten wird die höchste Ermüdungslebensdauer für einen neuwertigen Schneidwerkzeug beobachtet. Im Gegensatz dazu erreichen Proben, die mit einem verschlissenen Werkzeug geschnitten werden, bei mittleren und großen Schnittspalten eine höhere Ermüdungslebensdauer. Die Oberflächenbeschaffenheit in der Bruchzone, die als versagenskritische Anrissposition wirkt, wird hierbei als Haupteinflussfaktor angesehen. T2 - Einfluss von Scherschneidparametern auf die Kanteneigenschaften und das Ermüdungsverhalten von nicht kornorientierten Elektroblechen UR - https://doi.org/10.1002/mawe.202400094 Y1 - 2025 UR - https://doi.org/10.1002/mawe.202400094 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59378 SN - 0933-5137 VL - 56 IS - 4 SP - 537 EP - 548 PB - Wiley CY - Weinheim ER - TY - JOUR A1 - Zehnder, Elena A1 - Schwarz, Jan Oliver T1 - The interplay of future making and foresight: Insights from a family business case study JF - Futures UR - https://doi.org/10.1016/j.futures.2025.103608 Y1 - 2025 UR - https://doi.org/10.1016/j.futures.2025.103608 SN - 1873-6378 VL - 2025 IS - 170 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Ammeling, Jonas A1 - Ganz, Jonathan A1 - Wilm, Frauke A1 - Breininger, Katharina A1 - Aubreville, Marc T1 - Investigation of Class Separability within Object Detection Models in Histopathology JF - IEEE Transactions on Medical Imaging UR - https://doi.org/10.1109/TMI.2025.3560134 Y1 - 2025 UR - https://doi.org/10.1109/TMI.2025.3560134 SN - 0278-0062 SN - 1558-254X VL - 44 IS - 8 SP - 3162 EP - 3174 PB - IEEE CY - New York ER - TY - JOUR A1 - Vergnano, Alberto A1 - Pelizzari, Alessandro A1 - Giorgianni, Claudio A1 - Kovanda, Jan A1 - Zimmer, Alessandro A1 - Lopes da Silva, Joed A1 - Rezvanpour, Hamed A1 - Leali, Francesco T1 - Monitoring Occupant Posture Using a Standardized Sensor Interface with a Vehicle Seat JF - Designs N2 - Car safety can be enhanced by enabling the Airbag Control Unit (ACU) to adaptively deploy different charges based on the occupant’s position once the crash occurs. In this context, monitoring the occupant’s position using a sensorized seat integrated with an Inertial Measurement Unit (IMU) offers a practical and cost-effective solution. However, certain challenges still need to be addressed. The adoption of sensorized seats in research and vehicle set-up is still under consideration. This study investigates an interface device that can be reconfigured to suit almost any seat model. This reconfigurability makes it easily adaptable to new vehicles under development and applicable to any passenger seat in the vehicle. This paper details the device’s design, including its programming using calibration and monitoring features, which significantly improves its reliability compared to earlier prototypes. Extensive testing through real driving experiments with multiple participants demonstrated an accuracy range of 45–100%. The testing involved both drivers and passengers, showcasing the device’s ability to effectively monitor various in-car scenarios. UR - https://doi.org/10.3390/designs9020052 Y1 - 2025 UR - https://doi.org/10.3390/designs9020052 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59083 SN - 2411-9660 VL - 9 IS - 2 PB - MDPI CY - Basel ER - TY - JOUR A1 - Novicki Neto, Leonardo A1 - Reway, Fabio A1 - Poledna, Yuri A1 - Funk Drechsler, Maikol A1 - Icking, Christian A1 - Huber, Werner A1 - Parente Ribeiro, Eduardo T1 - TWICE dataset: digital twin of test scenarios in a controlled environment JF - International Journal of Vehicle Systems Modelling and Testing (IJVSMT) UR - https://doi.org/10.1504/IJVSMT.2025.147353 Y1 - 2025 UR - https://doi.org/10.1504/IJVSMT.2025.147353 SN - 1745-6436 SN - 1745-6444 VL - 19 IS - 2 SP - 152 EP - 170 PB - Inderscience CY - Genf ER - TY - JOUR A1 - Agricola, Barbara A1 - Palm, Frank A1 - Jägle, Eric A. A1 - Kerschenlohr, Annegret T1 - Influence of alloying elements on precipitation formation and mechanical properties of Al–Cr–Mo-Sc-Zr alloys during laser powder bed fusion at room and elevated temperatures JF - Journal of Materials Research and Technology N2 - Most of the high-strength aluminium alloys for Laser Powder Bed Fusion (L-PBF) in research are based on conventional hardenable Al–Cu, Al–Mg–Si and Al–Zn–Mg alloys that have issues with hot-cracking during the L-PBF process. This study investigates the effect of alloying elements on two novel Al–Cr–Mo-Sc-Zr alloys (Scancromal® variants) with a good, crack-free processability and strength-ductility combination. A layer thickness of 100 μm was used, highlighting the high productivity and good processability of Al–Cr alloys. Heat treatments and hardness measurements were conducted to investigate peak age heat treatment and revealed a relation between Sc/Zr-ratio and peak aged temperature. SEM observations of small precipitates at grain boundaries and fracture surfaces contributed to understanding the changing fracture mechanism from less ductile (2.4–10.2% elongation) to very ductile (14.1–19% elongation). Tensile tests at elevated temperatures and creep tests showed a positive effect of Cr and Mo on high temperature strength. High-temperature properties, especially creep results of Al–Cr alloys and Scalmalloy® (Al–Mg–Mn-Sc-Zr) are presented for the first time and emphasize the increased heat-resistance by Cr and Mo. The threshold stress, below which theoretically no creep should occur, of the presented Scancromal® variants is at least 5 times higher (142–189 MPa) compared to Scalmalloy® (28 MPa). A comprehensive comparison of the results to literature values of AlSi10Mg, other Al–Cr alloys and high temperature Al alloys gives valuable insight on how the aging response, microstructure, ductility and high-temperature strength of this type of alloy is influenced by its alloying elements. UR - https://doi.org/10.1016/j.jmrt.2025.04.255 Y1 - 2025 UR - https://doi.org/10.1016/j.jmrt.2025.04.255 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-59137 SN - 2238-7854 VL - 2025 IS - 36 SP - 6632 EP - 6645 PB - Elsevier CY - Rio de Janeiro ER - TY - JOUR A1 - Xu, Wenguang A1 - Membarth, Richard T1 - Exploration of Efficient Computation for Trajectory Planning via Fixed-Point Arithmetic JF - PARS-Mitteilungen 2025 Y1 - 2025 UR - https://dl.gi.de/items/6b2c0546-1081-40ab-b97b-052b60b8374f SN - 0177-0454 VL - 37 SP - 51 EP - 61 PB - Gesellschaft für Informatik CY - Bonn ER - TY - JOUR A1 - Pfaller, Tobias A1 - Membarth, Richard T1 - Exploiting Data Redundancy in Im2Col Convolutions JF - PARS-Mitteilungen 2025 Y1 - 2025 UR - https://dl.gi.de/items/156c727e-ec90-4809-9ce6-ee27cc89eeb0 SN - 0177-0454 VL - 37 SP - 63 EP - 70 PB - Gesellschaft für Informatik CY - Bonn ER - TY - JOUR A1 - Stöttner, Julia A1 - Hanzl, Christian A1 - Terbrack, Christoph A1 - Endisch, Christian T1 - Holistic evaluation and optimization of multilevel inverter designs for electric vehicle applications JF - Energy Reports N2 - To advance the development of multilevel inverters (MLIs) for electric vehicle applications, this study introduces novel asymmetric MLI (AMLI) configurations featuring buffer modules to enhance efficiency. A comprehensive comparative analysis of 125 distinct inverter systems is conducted, integrating five different microtopologies and 25 representative symmetrical MLI (SMLI) and AMLI systems. Unlike previous studies, this work employs a successive design process with a graph-based approach to systematically minimize conduction losses. Furthermore, experimental loss measurements ensure practical relevance. By applying Pareto optimization with cost, energy losses, and total harmonic distortion as objective functions, the study identifies the most promising MLI systems among all considered ones. While the cascaded H-bridge MLI emerges as the most cost-effective solution, specific SMLI configurations with 12 or 18 battery cells per module and AMLI designs featuring buffer modules exhibit lower inverter losses. In both cases, the incorporation of microtopologies that enable parallel operation leads to a remarkable reduction in inverter losses by more than 30 % compared to the least efficient MLI systems. Finally, a comparative assessment against a conventional B6-bridge SiC inverter highlights the significant advantages of these optimized MLI configurations in terms of efficiency and system performance. UR - https://doi.org/10.1016/j.egyr.2025.03.001 Y1 - 2025 UR - https://doi.org/10.1016/j.egyr.2025.03.001 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-58297 SN - 2352-4847 VL - 2025 IS - 13 SP - 3561 EP - 3573 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Kaufhold, Marc-André A1 - Mentler, Tilo A1 - Nestler, Simon A1 - Reuter, Christian T1 - The tension of usable safety, security and privacy JF - i-com: Journal of Interactive Media N2 - Local disasters such as the Ahr Valley flood in Germany, the international backdrop of the Russo-Ukrainian War, or the global impact of the COVID-19 pandemic place high demands on the people and organisations that are involved in these situations and contexts to save lives, mitigate damage, provide comfort, or organise reconstruction. Novel technologies are constantly making their way into everyday life, such as artificial intelligence, big data, decentralised networks, internet of things, or virtual reality. Their adaptation, acceptance, usability, usefulness, and legal framework conditions for safety-critical systems must be researched and tested thoroughly. In this special issue, we investigate the use of computer-based solutions in areas and situations of direct relevance to people’s lives and well-being (Usable Safety), as well as contributions to user-oriented resilience concepts of sociotechnical systems concerning potential attacks (Usable Security) and data protection mechanisms (Usable Privacy). UR - https://doi.org/10.1515/icom-2025-0009 Y1 - 2025 UR - https://doi.org/10.1515/icom-2025-0009 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-58286 SN - 2196-6826 VL - 24 IS - 1 SP - 1 EP - 7 PB - De Gruyter CY - Berlin ER - TY - JOUR A1 - Mohan, Nihesh A1 - Ahuir-Torres, Juan Ignacio A1 - Kotadia, Hiren R. A1 - Elger, Gordon T1 - Laser sintering of Cu particle-free inks for high-performance printed electronics JF - npj Flexible Electronics N2 - This study investigates laser sintering of Cu particle-free ink (Cu formate tetrahydrate—amino-2-propanol complex) as an alternative to conventional sintering in an oven (under inert/reducing atmosphere). Utilizing benefits of high-speed localized heating using laser, substrate damage can be prevented for low-melting substrates such as Polyethylene Terephthalate (PET). Firstly, a suitable sintering process window is achieved based on energy density for two different flexible polymeric susbtrates: Polyimide and PET using different laser parameters (laser power, scan rate and spot diameter). Subsequently, characterization of laser sintered traces are also made using different laser optic profiles (Gaussian and top hat). Different methodologies for fabrication of metallized Cu layer were also demonstrated. A very low bulk resistivity of 3.24 µΩcm (1.87 times of bulk Cu) was achieved on trace thickness of 0.85 ± 0.15 µm exhibiting good adherence to polymeric substrates. A promising fabrication process of low-cost and reliable flexible printed electronic devices is demonstrated. UR - https://doi.org/10.1038/s41528-025-00389-5 Y1 - 2025 UR - https://doi.org/10.1038/s41528-025-00389-5 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-58266 SN - 2397-4621 VL - 9 IS - 1 PB - Springer CY - London ER - TY - JOUR A1 - Mehta, Kedar A1 - Wright, Andrew A1 - Brown, Neil A1 - Zörner, Wilfried T1 - Transitioning to Low-Carbon Heating: Decision-Making Approach for Cold Communities JF - Clean Energy N2 - Selecting a sustainable heat energy supply system for high-altitude, cold-climatic communities in developing countries is essential for both decision-makers and the scientific community. However, no comprehensive guide or framework exists to address this issue and decarbonize cold communities sustainably. This research aims to fill that gap by identifying and developing a methodology for selecting a suitable heat energy supply system, using Kyrgyzstan as a case study. The approach takes into account renewable energy sources, local conditions, and specific criteria necessary for designing a sustainable energy supply. The paper introduces a decision-making framework based on 17 criteria, covering geographical, environmental, economic, technical, and social aspects, derived from the opinions of over 20 experts. This framework serves as a guide for selecting and designing an appropriate heat energy supply system. Five heat supply options are analyzed in Kyrgyzstan’s high-altitude, cold rural setting to demonstrate the framework's potential. The analysis reveals that centralized district heating is the most suitable solution, scoring 79% for system selection. This methodology is partially or fully transferable to regions or countries with similar climates and local circumstances, offering a valuable resource for the development of sustainable heat energy solutions in cold, high-altitude communities. UR - https://doi.org/10.1093/ce/zkaf010 Y1 - 2025 UR - https://doi.org/10.1093/ce/zkaf010 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-58214 SN - 2515-396X VL - 9 IS - 4 PB - Oxford University Press CY - Oxford ER - TY - JOUR A1 - Mohan, Nihesh A1 - Steinberger, Fabian A1 - Wächter, Sonja A1 - Erdogan, Hüseyin A1 - Elger, Gordon T1 - Additive Manufacturing for Automotive Radar Sensors Using Copper Inks and Pastes JF - Applied Sciences N2 - Radar sensors are critical for obstacle detection and navigation, especially for automated driving. Using the use-case “printing of heating coils on the inside of the front housing (primary radome)” needed for de-icing in winter, it is demonstrated that additive manufacturing (AM) can provide economic and functional benefits for manufacturing of the sensors. AM will allow significant cost reduction by eliminating parts and simplifying the manufacturing process. Different AM technologies for the coils were investigated, first, by applying the conductive traces by fused deposition modeling (FDM), and, second, by printing copper particle-free inks and pastes. The metal layers were electrically and mechanically characterized using a profilometer to measure the trace dimension and a four-point probe to measure the resistance. It was revealed that low-cost conductive filaments with low resistivity and current carrying capacity are commercially still not available. The best option sourced was a copper–polyester-based filament with 6000 µΩcm after printing. Therefore, low-cost particle-free copper inks and commercial copper flake paste were selected to print the heating coil. The Cu particle-free inks were amine-based Cu (II) formate complexes, where the Cu exists in an ionic form. Using contactless printing processes such as ink-jet printing or pneumatic dispensing, the traces could be deposited onto the low-melting temperature (225 °C) polymeric radome structure. After printing, the material needed to be sintered to form the conductive copper traces. To avoid damaging the polymer radome during sintering, two different processes were investigated: low-temperature (<150 °C) sintering in an oven for 30 min or fast laser sintering. The sintered Cu layers achieved the following specific electric resistivities when slowly sintered in the oven: paste 4 µΩcm and ink 8.8 µΩcm. Using laser sintering, the ink achieved 3.2 µΩcm because the locally high temperature provides better sintering. Also, the adhesion was significantly increased to (5 B). Therefore, laser sintering is the preferred technology. In addition, it allows fast processing directly after printing. Commercial equipment is available where printing and laser sintering is integrated. The potential of low-cost copper material and the integration in additive manufacturing of electronic systems using radar sensors as an example are demonstrated in this paper. UR - https://doi.org/10.3390/app15052676 Y1 - 2025 UR - https://doi.org/10.3390/app15052676 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-58065 SN - 2076-3417 VL - 15 IS - 5 PB - MDPI CY - Basel ER - TY - JOUR A1 - Bilal, Mühenad A1 - Podishetti, Ranadheer A1 - Tangirala, Sri Girish A1 - Großmann, Daniel A1 - Bregulla, Markus T1 - CNN-Based Classification of Optically Critical Cutting Tools with Complex Geometry: New Insights for CNN-Based Classification Tasks JF - Sensors N2 - Sustainability has increasingly emphasized the importance of recycling and repairing materials. Cutting tools, such as milling cutters and drills, play a crucial role due to the high demands placed on products used in CNC machining. As a result, the repair and regrinding of these tools have become more essential. The geometric differences among machining tools determine their specific applications: twist drills have spiral flutes and pointed cutting edges designed for drilling, while end mills feature multiple sharp edges around the shank, making them suitable for milling. Taps and form cutters exhibit unique geometries and cutting-edge shapes, enabling the creation of complex profiles. However, measuring and classifying these tools for repair or regrinding is challenging due to their optical properties and coatings. This research investigates how lighting conditions affect the classification of tools for regrinding, addressing the shortage of skilled workers and the increasing need for automation. This paper compares different training strategies on two unique tool-specific datasets, each containing 36 distinct tools recorded under two lighting conditions—direct diffuse ring lighting and normal daylight. Furthermore, Grad-CAM heatmap analysis provides new insights into relevant classification features. UR - https://doi.org/10.3390/s25051575 Y1 - 2025 UR - https://doi.org/10.3390/s25051575 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-58058 SN - 1424-8220 VL - 25 IS - 5 PB - MDPI CY - Basel ER - TY - JOUR A1 - Güldali, Derya A1 - De Rose, Angela A1 - Mittag, Max A1 - Grübel, Benjamin A1 - Neuhaus, Holger A1 - Tetzlaff, Ulrich T1 - Interconnection of low-temperature metallization on silicon solar cells - The role of silver in tin-bismuth-based solder alloys JF - Solar Energy Materials and Solar Cells N2 - This study investigates the potential of tin-bismuth (SnBi) alloys micro-alloyed with silver (Ag) to enhance low-temperature (LT) soldering for photovoltaic (PV) modules. The primary focus is on addressing challenges such as intermetallic compound (IMC) formation, which can compromise mechanical strength and durability under thermal cycling, thereby improving the long-term stability of solder joints. A systematic investigation of the influence of the Ag amount is being conducted with the intention to find the optimal alloy composition for SnBi solder joints on LT metallization contacts. The objective is to provide a cost-effective, lead-free alternative for the interconnection of temperature-sensitive solar cells like silicon heterojunction (SHJ) cells. The findings illustrate that the addition of 0.4 %wt. Ag notably enhances the wettability and initial mechanical strength of the solder. An increase in the Ag content to 1.0 %wt. results in an excessive growth of IMC, which in turn leads to increased brittleness and potential long-term stability issues of the solder joint. Thermal cycling tests demonstrate that modules soldered with SnBiAg0.4 exhibited less than -5 % loss in power. This composition represents an optimal balance between performance and cost. These findings show the potential of SnBiAg0.4 as a suitable solder alloy regarding long-term stability and electrical performance for interconnection of LT metallization contacts of solar cells in PV module manufacturing. UR - https://doi.org/10.1016/j.solmat.2025.113488 Y1 - 2025 UR - https://doi.org/10.1016/j.solmat.2025.113488 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-57982 SN - 1879-3398 VL - 2025 IS - 285 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Ngetuny, Joshua Kiplagat A1 - Baldauf, Tobias A1 - Zörner, Wilfried T1 - Optimizing Feedstock Selection for Sustainable Small-Scale Biogas Systems Using the Analytic Hierarchy Process JF - Energies N2 - Small-scale biogas systems can play a pivotal role in sustainable energy provision, particularly in developing countries. However, their dependence on livestock manure as the only feedstock poses challenges to their adoption and long-term viability. This often leads to insufficient biogas production and plant abandonment. This study proposes co-digestion of livestock manure with other farm residues to enhance the technical sustainability of small-scale biogas systems by ensuring adequate and consistent biogas production throughout the plant’s lifespan, minimizing the risks associated with reliance on a single feedstock. A novel feedstock selection approach is developed using the Analytic Hierarchy Process (AHP), a multicriteria decision-making method, to prioritize feedstocks based on adequacy, supply consistency, and logistical ease. AHP is chosen due to its capability to handle both quantitative and qualitative evaluation criteria. This approach is applied to the Fès-Meknès region of Morocco, which offers abundant livestock and crop residues alongside product utilization pathways. The prioritization and ranking of the potential feedstocks identified in the region reveals cattle manure as the top-ranked feedstock due to its consistent supply and ease of collection, followed by straw, valued for its storability and nutrient stability. Sheep, horse, and chicken manure ranked third, fourth, and fifth, respectively, while household food waste and fruit and vegetable residues, limited by seasonality and perishability, were ranked lower. Based on these findings, co-digestion of cattle manure and straw is proposed as a sustainable strategy for small-scale biogas plants in Fès-Meknès, addressing feedstock shortages, enhancing biogas production, and reducing plant abandonment. This approach strengthens technical sustainability and promotes the broader adoption of biogas technologies in developing countries. UR - https://doi.org/10.3390/en18071739 Y1 - 2025 UR - https://doi.org/10.3390/en18071739 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-57915 SN - 1996-1073 VL - 18 IS - 7 PB - MDPI CY - Basel ER - TY - JOUR A1 - Schuhmacher, Alexander A1 - Grinchenko, Kyrylo A1 - Gassmann, Oliver A1 - Hartl, Dominik A1 - Hinder, Markus T1 - A case study assessing the impact of M&A and licensing on FDA drug approvals of leading pharmaceutical companies JF - Drug Discovery Today N2 - Despite a recent increase in FDA new drug approvals, leading pharmaceutical companies continue to face R&D productivity challenges. This highlights the need to better understand the context of their R&D concepts and related R&D outputs. Consequently, we conducted a systematic assessment of the impact of R&D expenditures, R&D intensities, mergers & acquisitions (M&A) deals and licensing agreements on new drug approvals of leading pharmaceutical companies between 2012 and 2021. Our analysis provides key insights into differentiating R&D factors: whereas R&D expenditures and the number of M&A deals correlate with the number of new drug approvals, our analysis shows no correlation with R&D intensity or the number of licensing agreements. UR - https://doi.org/10.1016/j.drudis.2025.104306 Y1 - 2025 UR - https://doi.org/10.1016/j.drudis.2025.104306 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-57756 SN - 1878-5832 VL - 30 IS - 3 PB - Elsevier CY - Amsterdam ER -