TY - CHAP A1 - Müller, Simon Nikolaus A1 - Strobel, Rainer A1 - Faigl, Markus A1 - Schrag, Tobias ED - Fink, Christian ED - Brunner, Christoph T1 - Analysis of Industrial 5GDHC System in Ingolstadt BT - A Step Towards CO2-Neutral Industry T2 - International Sustainable Energy Conference - Proceedings N2 - This study comprehensively examines the technical manifestation and planning process for a shared thermal energy network at a 75-hectare industrial area in Ingolstadt. Unlike traditional systems, this (5GDHC) network showcases a smart integration of energy flows across 70 buildings with a yearly heating demand of around 17 GWh and a yearly cooling demand of around 35 GWh. The network spans over 9,100 meters of piping with diameters up to 800 mm. With thermal power from various sources including 1.8 MW waste heat from a data centre and potential for 10 MW from the Danube River, the system epitomizes a dynamic balance of heating and cooling demands. The paper itself examines the planning process of the system and encompasses topics such as defining energy requirements and load profiles, assessing potential energy sources and sinks for enhanced system efficiency, and analysing pipe and network design. Through this investigation, the study provides valuable insights towards a methodology to facilitate the successful implementation of future industrial 5GDHC systems, furthering the cause of sustainable energy. UR - https://doi.org/10.52825/isec.v1i.1152 Y1 - 2024 UR - https://doi.org/10.52825/isec.v1i.1152 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66874 SN - 2976-2030 PB - TIB Open Publishing CY - Hannover ER - TY - CHAP A1 - Göbel, Jan-Philipp A1 - Mertens, Jan Cedric A1 - Riener, Andreas T1 - Evaluating Alcohol-Induced Impairment: A Comprehensive Study on Objective Tests and Subjective Self-Perception T2 - 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES) UR - https://doi.org/10.1109/ICVES65691.2025.11376306 Y1 - 2026 UR - https://doi.org/10.1109/ICVES65691.2025.11376306 SN - 978-1-6654-7778-9 SP - 73 EP - 80 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Dönmez, Ömer A1 - Tejero de la Piedra, Ricardo A1 - Klose, Simona A1 - Riolet, Matthieu A1 - Rozek, Lukas A1 - Vaculin, Ondrej A1 - Hach, Christian T1 - Approach for Passive Safety Assessment of Rearward-Sitting Occupants T2 - 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES) UR - https://doi.org/10.1109/ICVES65691.2025.11376179 Y1 - 2026 UR - https://doi.org/10.1109/ICVES65691.2025.11376179 SN - 978-1-6654-7778-9 SP - 445 EP - 452 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Mayr, Thomas A1 - Knollmeyer, Simon A1 - Jeknic, Isidora A1 - Fink, Leon A1 - Hensel, Ralph A1 - Huber, Marco F. A1 - Großmann, Daniel T1 - Enhancing Process Planning in the Automotive Industry: Extracting Procedural Knowledge from Assembly Operation Descriptions using Large Language Models JF - Procedia CIRP N2 - The non-standardized, human-written assembly descriptions have been a long-standing obstacle in the automotive assembly industry, making it difficult to use these data in the planning stage. The paper presents a standardization method based on Large Language Models (LLMs), focusing on consistency and clarity. This approach does not only streamline the planning processes but also facilitates the benchmarking of productivity and process quality across different individual parts and assembly lines, thus enabling comprehensive efficiency analysis and ultimately leading to more informed decision-making. Our method was evaluated at a German OEM in the automotive sector, demonstrating its practical applicability and effectiveness. UR - https://doi.org/10.1016/j.procir.2026.01.137 Y1 - 2026 UR - https://doi.org/10.1016/j.procir.2026.01.137 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66843 SN - 2212-8271 VL - 2026 IS - 138 SP - 797 EP - 802 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Gloor, Jamie L. A1 - Braun, Susanne A1 - Hoobler, Jenny M. A1 - Pham, Huong A1 - Peus, Claudia T1 - More Motivated to Help Male Leaders? Explaining Fatherhood Bonuses via Follower Helping JF - Journal of Business Ethics UR - https://doi.org/10.1007/s10551-026-06248-1 Y1 - 2026 UR - https://doi.org/10.1007/s10551-026-06248-1 SN - 1573-0697 PB - Springer CY - Dordrecht ER - TY - CHAP A1 - Funk Drechsler, Maikol A1 - Sell, Christoph Dominic A1 - Poledna, Yuri A1 - Huber, Werner T1 - Accelerating the Approval of Automated Driving Vehicles through standardized XiL test environments T2 - 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES) UR - https://doi.org/10.1109/ICVES65691.2025.11376566 Y1 - 2026 UR - https://doi.org/10.1109/ICVES65691.2025.11376566 SN - 978-1-6654-7778-9 SP - 183 EP - 188 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Ulreich, Fabian A1 - Funk Drechsler, Maikol A1 - Poledna, Yuri A1 - Chan, Pak Hung A1 - Herraren, Tuomas A1 - Ebert, Martin A1 - Kaup, André A1 - Huber, Werner T1 - Validating Camera Sensor Models for Virtual Testing of Vision Systems in Automated Driving T2 - 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES) UR - https://doi.org/10.1109/ICVES65691.2025.11376043 Y1 - 2026 UR - https://doi.org/10.1109/ICVES65691.2025.11376043 SN - 978-1-6654-7778-9 SP - 57 EP - 64 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Da Silva Junior, Amauri A1 - Müller, Steffen A1 - Birkner, Christian A1 - Jazar, Reza A1 - Marzbani, Hormoz T1 - Fault Tolerant Control With Reinforcement Learning for Evasive Maneuvers Using a Scaled Vehicle JF - IEEE Access N2 - Autonomous vehicle controllers are responsible for handling the vehicle at all times in any situation, including emergency conditions. An emergency might arise from, e.g., adverse weather conditions, short-time detection, and system faults. In this paper, we develop a fault-tolerant controller to handle actuator faults for an over-actuated autonomous vehicle based on reinforcement learning. A worst-case scenario is selected for the controller development, involving short-time detection of the preceding objects, high velocity, and dry to wet road conditions. The design of the vehicle controller is performed in three steps. First, a robust controller based on sliding mode control with lateral and longitudinal coupled strategy was built to ensure stability in emergency scenarios. Secondly, a strategy was proposed to identify the most critical vehicle faults that might lead to a crash. Building on these foundations, this study extends the vehicle controller to handle vehicle faults with a reinforcement learning strategy, enabling adaptive and robust fault handling in complex fault scenarios. The vehicle controller is designed and optimized in IPG-Carmaker®, and proof of concept is carried out in a scaled 1:3.33 test vehicle. The results demonstrate the robustness of the proposed controller in an emergency single-lane change with a velocity of up to 130 km/h. Tests in the scaled vehicle demonstrate the vehicle controller’s accuracy against simulation, with the application of reinforcement learning strategy in real-case scenarios. UR - https://doi.org/10.1109/ACCESS.2026.3661179 Y1 - 2026 UR - https://doi.org/10.1109/ACCESS.2026.3661179 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66839 SN - 2169-3536 VL - 14 SP - 21353 EP - 21383 PB - IEEE CY - New York ER - TY - JOUR A1 - Salamat, Babak A1 - Mattern, Dominik A1 - Olzem, Sebastian-Sven A1 - Elsbacher, Gerhard A1 - Seidel, Christian A1 - Tonello, Andrea M. T1 - GMP3: Learning-Driven, Bellman-Guided Trajectory Planning for UAVs in Real-Time on SE(3) JF - IEEE Access N2 - We propose GMP3, a multiphase global path planning framework that generates dynamically feasible three-dimensional trajectories for unmanned aerial vehicles (UAVs) operating in cluttered environments. The framework extends traditional path planning from Euclidean position spaces to the Lie group SE(3), allowing joint learning of translational motion and rotational dynamics. A modified Bellman-based operator is introduced to support reinforcement learning (RL) policy updates while leveraging prior trajectory information for improved convergence. GMP3 is designed as a distributed framework in which agents influence each other and share policy information along the trajectory: each agent refines its assigned segment and shares with its neighbors via a consensus-based scheme, enabling cooperative policy updates and convergence toward a path shaped globally even under kinematic constraints.We also propose DroneManager, a modular ground control software that interfaces the planner with real UAVs platforms via the Micro Air Vehicle Link (MAVLink) protocol, supporting real-time deployment and feedback. Simulation studies and indoor flight experiments validate the effectiveness of the proposed method in constrained 3D environments, demonstrating reliable obstacle avoidance and smooth, feasible trajectories across both position and orientation. UR - https://doi.org/10.1109/ACCESS.2026.3661193 Y1 - 2026 UR - https://doi.org/10.1109/ACCESS.2026.3661193 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66826 SN - 2169-3536 VL - 14 SP - 22720 EP - 22733 PB - IEEE CY - New York ER - TY - CHAP A1 - Jimenez, Victor A1 - Reyes de los Mozos, Mario A1 - Perea Paños, Pau A1 - Fritzsche, Paula Cecilia A1 - Mayer, Kevin A1 - Volkersdorfer, Tina A1 - Hof, Hans-Joachim A1 - Couturier, Christophe A1 - Ernst, Thierry A1 - Zhang, Miao A1 - Saied Mohamed, Mohamed A1 - Rodríguez-Arozamena, Mario A1 - Aranguren-Mendieta, Iñigo A1 - Pérez, Joshué A1 - Jousse, Adrien A1 - Murguia, Carlos A1 - van de Wouw, Nathan A1 - Bellessort, Romain A1 - Salami, Behzad A1 - Jevtić, Aleksandar A1 - Bannour, Boutheina A1 - Rodríguez Recasens, Manel A1 - Ropero, Isaac A1 - Ozbay, Burcu A1 - Eren, Ali A1 - Bektas, Mustafa A1 - Tezcan, Deryanur A1 - Pilz, Christoph A1 - Haas, Sarah A1 - Lenz, Gernot ED - McNally, Ciaran ED - Carroll, Páraic ED - Martinez-Pastor, Beatriz ED - Ghosh, Bidisha ED - Efthymiou, Marina ED - Valantasis-Kanellos, Nikolaos T1 - SELFY - Self Assessment, Protection and Healing Tools for a Trustworthy and Resilient CCAM T2 - Transport Transitions: Advancing Sustainable and Inclusive Mobility, Proceedings of the 10th TRA Conference, 2024 Dublin, Ireland - Volume 6: Connected Mobility Ecosy N2 - SELFY envisions an agnostic toolbox for the self-management of security and resilience of the CCAM (Connected, Cooperative and Automated Mobility) ecosystem, which can be easily deployed to extend the current Operational Design Domain (ODD), providing self-awareness, self-resilience and self-healing mechanisms and enhancing trust between stakeholders. SELFY is based on four pillars: Situational awareness, Resilience, Secure Data Sharing and Trust and provides three groups of tools. SACP (Situational Awareness and Collaborative Perception) tools aim at providing all CCAM actors with a comprehensive understanding of their environment, i.e., the perception of objects, such as other traffic participants and stationary objects. CRHS (Cooperative Resilience and Healing System) tools enable self-protection actions whenever a compromising situation is detected in relation to assets, vehicles, operations, or the system itself. TDMS (Trust and Data Management System) tools establish a secure and trusted environment for data in a collaborative and cooperative context, both for infrastructure and assets, as well as for citizen’s data, such as drivers or pedestrians with special attention to privacy considerations. By defining a collaborative environment between the different tools to respond to new threats, risks and attacks SELFY facilitates the comprehension of new challenges in the cybersecurity aspect of CCAMs. UR - https://doi.org/10.1007/978-3-032-06763-0_106 Y1 - 2025 UR - https://doi.org/10.1007/978-3-032-06763-0_106 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66819 SN - 978-3-032-06763-0 SP - 745 EP - 751 PB - Springer CY - Cham ER - TY - JOUR A1 - Kreilinger, Laurens A1 - Zott, Stefan A1 - Hemmert, Werner A1 - Karg, Sonja T1 - Dry electrode impedance: a new approach towards improved characterization JF - Biomedical Physics & Engineering Express N2 - Electrode-skin impedance plays a crucial role in electrophysiological signal acquisition, influencing signal quality and measurement reliability. We designed a reproducibility measurement setup, using a membrane with a saline solution and a three-electrode Electrochemical Impedance Spectroscopy measurement setup (range 1 Hz–20 kHz), to mimic the electrode-skin impedance. The system allowed controlled application of pressure to the working electrode (WE) and measurement of all setup parameters. With this setup, reproducible results were achieved, with a standard deviation of 5.5% of the mean impedance across three builds. Potentiostatic and impedance analyzer measurements with six types of dry electrodes produced comparable results, with an average error of 10%. The six dry electrode types exhibited impedance variations of up to a factor of 10,000 at low frequencies, depending on material and geometry. Ag/AgCl-coated electrodes exhibited an impedance reduction by a factor of 100 at 1 Hz compared to their uncoated counterparts. The proposed setup provides a standardized and reproducible approach for characterizing electrode impedance across different materials, coatings, and geometries. UR - https://doi.org/10.1088/2057-1976/ae3e9c Y1 - 2026 UR - https://doi.org/10.1088/2057-1976/ae3e9c UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66800 SN - 2057-1976 VL - 12 IS - 2 PB - IOP Publishing CY - Bristol ER - TY - JOUR A1 - Bechthold, Laura A1 - Rosendahl Huber, Laura A1 - Eddleston, Kimberly A. T1 - Debiasing entrepreneurial careers: A field experiment on female role model effects on entrepreneurial self-efficacy and early-stage career choices JF - Journal of Business Venturing N2 - Women remain underrepresented not only as founders but also as employees – or “joiners” – in young and small firms, limiting their exposure to entrepreneurial environments that often serve as critical pathways to venture creation. To address this gap, we investigate whether introducing female entrepreneur role models in educational settings can shape young women's entrepreneurial self-efficacy and early career choices. Drawing on role congruity theory and social cognitive career theory (SCCT), we conducted a field experiment involving over 430 university students and 98 early-stage entrepreneurs. Using a pre-test/post-test design and longitudinal tracking of early career choices, we explore the causal effects of exogenously assigned female role models on students' decisions to join a young or small firm. We find that exposure to social interactions with female entrepreneurs significantly boosts female students' entrepreneurial self-efficacy. More importantly, women who were paired with a female entrepreneur were over 10% more likely to join a young firm after graduation compared to those assigned to a male entrepreneur. Mediation analysis confirms that entrepreneurial self-efficacy is a key mechanism linking exposure to same-sex role models with women's decision to join a young firm. These findings highlight the potential of targeted role model interventions to reduce gender disparities in entrepreneurial entry pathways and expand the diversity of entrepreneurial ecosystems. UR - https://doi.org/10.1016/j.jbusvent.2026.106582 Y1 - 2026 UR - https://doi.org/10.1016/j.jbusvent.2026.106582 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66745 SN - 1873-2003 SN - 0883-9026 VL - 41 IS - 3 PB - Elsevier CY - New York ER - TY - THES A1 - Tolksdorf, Leon T1 - Risk-Based Motion Planning in Automated Vehicles Y1 - 2026 UR - https://research.tue.nl/en/publications/risk-based-motion-planning-in-automated-vehicles/ SN - 978-90-386-6610-5 PB - Eindhoven University of Technology CY - Eindhoven ER - TY - JOUR A1 - Amâncio de Moraes, André A1 - Cristófoli Duarte Silva, Letícia A1 - Tancredi, Thiago Pontin A1 - Vasconcellos Ferreira, Cristiano T1 - Support methodology to the informational and conceptual design of small recreational powerboats JF - Human Factors in Design N2 - This article proposes a methodology for the design of motor recreational boats which are a crucial part of the Brazilian nautical industry. Despite the high demand for these boats, design methodologies for small leisure vessels are not well explored in the literature, leading to not mapped aspects as design information treatment, requirements engineering, and trade-off conflicts. The proposed methodology aims to systematize the obtaining of design specifications, generation and evaluation of solution concepts, employing de- sign support tools. The methodology was evaluated by applying it on a small recreational motorboat, and the results were positively evaluated by nautical industry and academic specialists, leading to acceptation of the methodology and some suggestions for improvement. N2 - Este artigo propõe uma metodologia para o projeto de embarcações de recreio a motor, que são uma parte crucial da indústria náutica brasileira. Apesar da grande demanda por essas embarcações, metodologias de projeto para pequenas embarcações de lazer não são bem exploradas na literatura, levando a aspectos não mapeados como tratamento de informações de projeto, engenharia de requisitos e conflitos de trade-off. A metodologia proposta visa sistematizar a obtenção de especificações de projeto, geração e avaliação de conceitos de soluções, empregando ferramentas de apoio ao projeto. A metodologia foi avaliada aplicando-a em uma pequena lancha de recreio, e os resultados foram avaliados positivamente pela indústria náutica e por especialistas acadêmicos, levando à aceitação da metodologia e a algumas sugestões de melhoria. T2 - Metodologia de suporte ao projeto informativo e conceitual de pequenas lanchas recreativas UR - https://doi.org/10.5965/2316796313252024165 Y1 - 2024 UR - https://doi.org/10.5965/2316796313252024165 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66739 SN - 2316-7963 VL - 13 IS - 25 SP - 165 EP - 186 PB - Universidade do Estado de Santa Catarina CY - Florianópolis ER - TY - INPR A1 - Nadarajan, Parthasarathy A1 - Botsch, Michael T1 - Probability Estimation for Predicted-Occupancy Grids in Vehicle Safety Applications Based on Machine Learning UR - https://doi.org/10.48550/arXiv.2512.12896 Y1 - 2025 UR - https://doi.org/10.48550/arXiv.2512.12896 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Agrawal, Atharva Mangeshkumar A1 - Chaudhary, Arvind Kumar A1 - Gandamalla, Viswa A1 - Sheru, Aravind Reddy A1 - Chakraborty, Ashmita A1 - Dhirwani, Bhavesh Arjan A1 - Agarwal, Priyank T1 - Author-Oriented Semantic Plagiarism Detection Using Transformer Architectures T2 - 2025 IEEE International Conference on Advanced Computing Technologies (ICACT) UR - https://doi.org/10.1109/ICACT67549.2025.11351398 Y1 - 2026 UR - https://doi.org/10.1109/ICACT67549.2025.11351398 SN - 979-8-3315-9002-4 SP - 401 EP - 406 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Kurada, Sai Bhuvana A1 - Agrawal, Atharva Mangeshkumar A1 - Gandamalla, Viswa A1 - Goel, Krishna A1 - Dhirwani, Bhavesh Arjan A1 - Bansal, Prakhyati A1 - Injarapu, Gopi Chandu T1 - Sarcasm-Aware Neural Translation for Informal Social Media Texts in Low-Resource Languages T2 - 2025 IEEE International Conference on Advanced Computing Technologies (ICACT) UR - https://doi.org/10.1109/ICACT67549.2025.11351510 Y1 - 2026 UR - https://doi.org/10.1109/ICACT67549.2025.11351510 SN - 979-8-3315-9002-4 SP - 407 EP - 411 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Emberger, Lukas A1 - Nair, Gireesh A1 - Lichtenegger, Klaus A1 - Moser, Maria A1 - Summ, Thorsten A1 - Natiesta, Thomas A1 - Fan, Jianhua A1 - Wang, Pengcheng A1 - Unterberger, Viktor A1 - Ohnewein, Philip T1 - Open data in the solar thermal community: Status, barriers, and opportunities JF - Solar Energy Advances N2 - Open data in the renewable energy sector could contribute to a greener future and reduce carbon emissions. This study investigates existing open datasets in the solar thermal domain, challenges in publishing and using open data and its potential impact. The results support the common belief that open data is useful, offering considerable benefits for data re-users and the solar thermal community. While substantial open data in the solar thermal domain already exists, some datasets like plant statistics and cost data are hard to utilize due to licensing, accessibility, and quality issues. The study shows that data owners benefit less from publishing data compared to data re-users and service providers. While data sharing seems appealing to data owners, several barriers discourage data sharing. Suggestions to promote the use and publications of open data in solar thermal domain are discussed. UR - https://doi.org/10.1016/j.seja.2025.100114 Y1 - 2025 UR - https://doi.org/10.1016/j.seja.2025.100114 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66691 SN - 2667-1131 VL - 2025 IS - 5 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Akmal, Muhammad Uzair A1 - Mathias, Selvine George A1 - Asif, Saara A1 - Koval, Leonid A1 - Knollmeyer, Simon A1 - Großmann, Daniel T1 - Humanizing AI: A Human-Centered Architecture to Developing Trustworthy Intelligent Systems T2 - CS & IT Conference Proceedings Y1 - 2025 UR - https://www.csitcp.com/abstract/15/158csit03 SN - 978-1-923107-57-1 SP - 27 EP - 44 PB - AIRCC CY - [s. l.] ER - TY - INPR A1 - James, Stuart Daniel A1 - Killinger, Markus A1 - Mutanga, Chiedza Ngonidzashe A1 - Pirard, Romain A1 - Einax, Mario A1 - Huber, Matthias A1 - Bader, Tobias T1 - The Hybrid Renewable Energy Community Approach (HyRECA): Synergising energy access, economic development, and ecosystem restoration in rural Southern Africa T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.5294413 Y1 - 2025 UR - https://dx.doi.org/10.2139/ssrn.5294413 PB - Elsevier CY - Amsterdam ER - TY - INPR A1 - Nikoloski, Marjan A1 - Botzen, Wouter A1 - Banerjee, Sanchayan A1 - Blasch, Julia A1 - Talevi, Marta T1 - Behavioural and Economic Drivers of Household Preferences for Energy Retrofit Programmes: Evidence from a Discrete Choice Experiment in the Netherlands T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.6174508 Y1 - 2026 UR - https://dx.doi.org/10.2139/ssrn.6174508 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Schimpf, Sven A1 - Lauster, Michael A1 - Schwarz, Jan Oliver A1 - John, Marcus T1 - Science fiction and innovation: A literature analysis on science fiction-related methods mapped into the innovation process JF - Futures N2 - In the development of innovations over the past decades, data-driven methods have become commonplace. Alongside advantages in effectiveness and efficiency comes the danger of relying on data describing past rather than future developments which can result in a loss of imagination and creativity. In parallel, a growing awareness of the interface between innovation and science fiction can be observed in academia and among practitioners. This awareness is most often based on the hypothesis that taking inspiration from science fiction can create value in the development of innovations. Despite numerous case studies in the literature describing this interface, a major part of methods applied seem to have been chosen in an unstructured, almost random way. This study investigates the literature in search of science fiction-related methods able to support the development of innovations. With around 60.000 publications considered based on a high-level search, a refined search combined with a manual search led to 17 science fiction-related methods to support the development of innovations. Using a six-phase generic innovation process, the methods identified were mapped into the process based on semantic similarities between the objectives of each method and the objectives of innovation process phases. This mapping is understood as an overview and conceptualization offering a baseline for future academic research and guidance for practitioners on choosing the most appropriate science fiction-related methods for developing innovations. UR - https://doi.org/10.1016/j.futures.2026.103770 Y1 - 2026 UR - https://doi.org/10.1016/j.futures.2026.103770 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66648 SN - 1873-6378 VL - 2026 IS - 177 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Hußenether, Thomas A1 - Antônio Rufino Júnior, Carlos A1 - Selaibe Pires, Tomás A1 - Mishra, Tarani A1 - Nahar, Jinesh A1 - Vaghani, Akash A1 - Polzer, Richard A1 - Diel, Sergej A1 - Schweiger, Hans-Georg T1 - Analysis of the Measurement Uncertainties in the Characterization Tests of Lithium-Ion Cells JF - Energies N2 - The transition to renewable energy systems and electric mobility depends on the effectiveness, reliability, and durability of lithium-ion battery technology. Accurate modeling and control of battery systems are essential to ensure safety, efficiency, and cost-effectiveness in electric vehicles and grid storage. In engineering and materials science, battery models depend on physical parameters such as capacity, energy, state of charge (SOC), internal resistance, power, and self-discharge rate. These parameters are affected by measurement uncertainty. Despite the widespread use of lithium-ion cells, few studies quantify how measurement uncertainty propagates to derived battery parameters and affects predictive modeling. This study quantifies how uncertainty in voltage, current, and temperature measurements reduces the accuracy of derived parameters used for simulation and control. This work presents a comprehensive uncertainty analysis of 18650 format lithium-ion cells with nickel cobalt aluminum oxide (NCA), nickel manganese cobalt oxide (NMC), and lithium iron phosphate (LFP) cathodes. It applies the law of error propagation to quantify uncertainty in key battery parameters. The main result shows that small variations in voltage, current, and temperature measurements can produce measurable deviations in internal resistance and SOC. These findings challenge the common assumption that such uncertainties are negligible in practice. The results also highlight a risk for battery management systems that rely on these parameters for control and diagnostics. The results show that propagated uncertainty depends on chemistry because of differences in voltage profiles, kinetic limitations, and temperature sensitivity. This observation informs cell selection and testing for specific applications. Improved quantification and control of measurement uncertainty can improve model calibration and reduce lifetime and cost risks in battery systems. These results support more robust diagnostic strategies and more defensible warranty thresholds. This study shows that battery testing and modeling should report and propagate measurement uncertainty explicitly. This is important for data-driven and physics-informed models used in industry and research. UR - https://doi.org/10.3390/en19030825 Y1 - 2026 UR - https://doi.org/10.3390/en19030825 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66630 SN - 1996-1073 VL - 19 IS - 3 PB - MDPI CY - Basel ER - TY - JOUR A1 - James, Stuart Daniel A1 - Killinger, Markus A1 - Mutanga, Chiedza Ngonidzashe A1 - Pirard, Romain A1 - Einax, Mario A1 - Huber, Matthias A1 - Bader, Tobias T1 - The hybrid renewable energy community approach (HyRECA): Synergising electricity access with bush encroachment mitigation in rural Southern Africa JF - Renewable and Sustainable Energy Transition N2 - Rural electrification and bush encroachment in Southern Africa have long been studied separately. Research shows that hybrid renewable energy systems (HRES) offer viable solutions for off-grid communities, and bush encroachment mitigation is widely recognised as an ecological priority. Using Jamataka, Botswana, as a case study, this study integrates both, asking under which conditions encroacher bush-based HRES are economically viable, which electricity access levels local populations can afford, and whether biomass utilisation contributes to mitigation. Findings indicate strong potential for bush-based HRES in off-grid areas, but competitiveness declines where low-cost grid electricity is available. Economic viability is examined through levelised cost of electricity (LCOE) across alternative HRES configurations. HOMER Pro® simulations indicate PV/biomass/battery systems are most cost-effective off-grid, achieving 100 % renewable fractions, near zero CO₂ emissions, and LCOE of 0.246 $/kWh. In grid-connected contexts without feed-in, PV/diesel/grid combinations dominate (LCOE 0.117 $/kWh) due to low tariffs, but with higher emissions. A novel affordability analysis using household willingness to pay and the World Bank Multi-Tier Framework indicates that all households reach at least Tier 3 electricity access under grid-connected systems and >70 % off-grid, supporting household-use of medium-power appliances. Sustainable biomass extraction clears ∼12 ha annually (∼120 t) in Jamataka, aiding bush encroachment mitigation. Upscaling indicates potential to electrify 1.35 million people in >900 bush-encroached villages across Botswana, Namibia, and South Africa, using <1 % of encroached land – highlighting significant untapped potential. Future research should validate findings through geospatial modelling with high-resolution biomass data and spatially sensitive biomass cost models for region-wide planning. UR - https://doi.org/10.1016/j.rset.2025.100136 Y1 - 2025 UR - https://doi.org/10.1016/j.rset.2025.100136 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66620 SN - 2667-095X VL - 2026 IS - 9 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Deinlein, Thomas A1 - German, Reinhard A1 - Djanatliev, Anatoli T1 - 5G-Sim-V2I/N: Towards a Simulation Framework for the Evaluation of 5G V2I/V2N Use Cases T2 - 2020 European Conference on Networks and Communications (EuCNC) UR - https://doi.org/10.1109/EuCNC48522.2020.9200949 Y1 - 2020 UR - https://doi.org/10.1109/EuCNC48522.2020.9200949 SN - 978-1-7281-4355-2 SP - 353 EP - 357 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Gutlein, Moritz A1 - Baron, Wojciech A1 - Renner, Christopher A1 - Djanatliev, Anatoli T1 - Performance Evaluation of HLA RTI Implementations T2 - Proceedings of the 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) UR - https://doi.org/10.1109/DS-RT50469.2020.9213641 Y1 - 2020 UR - https://doi.org/10.1109/DS-RT50469.2020.9213641 SN - 978-1-7281-7343-6 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Gregor, Markus T1 - Neuer Standard für den SoH JF - Auto Service Praxis KW - State of Health KW - SoH KW - Standard KW - Gesundheitszustand KW - Traktionsbatterie Y1 - 2026 UR - https://www.autoservicepraxis.de/nachrichten/kfz-werkstatt/neuer-standard-fuer-den-soh-3756740 SN - 1437-1162 VL - 2026 IS - 1-2 SP - 38 EP - 39 PB - TECVIA Media CY - München ER - TY - INPR A1 - Kruber, Friedrich A1 - Sánchez Morales, Eduardo A1 - Chakraborty, Samarjit A1 - Botsch, Michael T1 - Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles UR - https://doi.org/10.48550/arXiv.2004.08206 Y1 - 2020 UR - https://doi.org/10.48550/arXiv.2004.08206 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Rodionova, Alena A1 - Alvarez, Ignacio A1 - Elli, Maria A1 - Oboril, Fabian A1 - Quast, Johannes A1 - Mangharam, Rahul T1 - How safe is safe enough? Automatic Safety Constraints Boundary Estimation for Decision-Making in Automated Vehicles T2 - 2020 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV47402.2020.9304756 Y1 - 2021 UR - https://doi.org/10.1109/IV47402.2020.9304756 SN - 978-1-7281-6673-5 SP - 1457 EP - 1464 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Chai, Chen A1 - Zeng, Xianming A1 - Alvarez, Ignacio A1 - Elli, Maria T1 - Evaluation of Responsibility-Sensitive Safety (RSS) Model based on Human-in-the-loop Driving Simulation T2 - 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) UR - https://doi.org/10.1109/ITSC45102.2020.9294637 Y1 - 2020 UR - https://doi.org/10.1109/ITSC45102.2020.9294637 SN - 978-1-7281-4149-7 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Böhmländer, Dennis A1 - Doric, Igor A1 - Appel, Eva A1 - Brandmeier, Thomas ED - Kucera, Markus ED - Waas, Thomas T1 - Video Camera and Capacitive Sensor Data Fusion for Pedestrian Protection Systems T2 - Proceedings of the Eleventh International Workshop on Intelligent Solutions in Embedded Systems Y1 - 2013 UR - https://ieeexplore.ieee.org/document/6664948 SN - 978-3-00-042899-9 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Bornschlegl, Martin A1 - Drechsel, Michael A1 - Kreitlein, Sven A1 - Bregulla, Markus A1 - Franke, Jörg ED - Kucera, Markus ED - Waas, Thomas T1 - A new Approach to increasing Energy Efficiency by utilizing Cyber-Physical Energy Systems T2 - Proceedings of the Eleventh International Workshop on Intelligent Solutions in Embedded Systems Y1 - 2013 UR - https://ieeexplore.ieee.org/document/6664947 SN - 978-3-00-042899-9 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Barth, Martin A1 - Herkel, Philipp A1 - Gutwald, Benjamin A1 - Krüger, Jan Hinrich A1 - Schrage, Tobias A1 - Reichenstein, Tobias A1 - Franke, Jörg T1 - Utilization of Virtual Commissioning for Simulation-Based Energy Modeling and Dimensioning of DC-Based Production Systems T2 - 2025 Winter Simulation Conference (WSC) UR - https://doi.org/10.1109/WSC68292.2025.11339100 Y1 - 2026 UR - https://doi.org/10.1109/WSC68292.2025.11339100 SN - 979-8-3315-8726-0 SP - 700 EP - 710 PB - IEEE CY - Piscataway ER - TY - INPR A1 - Aksoy, Eren Erdal A1 - Raisuddin, Abu Mohammed A1 - Holmblad, Jesper A1 - Haghighi, Hamed A1 - Poledna, Yuri A1 - Funk Drechsler, Maikol A1 - Donzella, Valentina T1 - Rehearse-3d: A Multi-Modal Emulated Rain Dataset for 3d Point Cloud De-Raining T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.5360105 Y1 - 2025 UR - https://dx.doi.org/10.2139/ssrn.5360105 PB - Elsevier CY - Amsterdam ER - TY - INPR A1 - Löw, Jakob A1 - Vasu Ashoka, Vishwa Vimukthi A1 - Hutzelmann, Thomas A1 - Hof, Hans-Joachim T1 - Security Aspects of ISO 15118 Plug and Charge Payment UR - https://doi.org/10.48550/arXiv.2512.15966 Y1 - 2025 UR - https://doi.org/10.48550/arXiv.2512.15966 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Janes, Abeer A1 - Schweiger, Stefan A1 - Kretzer, Michael M. ED - Buettner, Andrea ED - Weidner, Eckhard T1 - Perceptions of Plastics, Unintended Effects and Local Initiatives Against Plastic Pollution T2 - Springer Handbook of Circular Plastics Economy UR - https://doi.org/10.1007/978-3-031-66209-6_43 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-66209-6_43 SN - 978-3-031-66209-6 SP - 853 EP - 862 PB - Springer CY - Cham ER - TY - CHAP A1 - Hoppe, Holger A1 - Augustine, Stefanie ED - Beditsch, Christian ED - Koch, Michael T1 - Strategiemodell für ein erfolgreiches unternehmerisches Nachhaltigkeitsmanagement – Ableitung und Systematisierung aus der Unternehmenspraxis T2 - Management for Sustainability: Begleitend zum Nachhaltigkeitskongress der SRH Fernhochschule 2023 UR - https://doi.org/10.1007/978-3-658-45267-4_14 Y1 - 2025 UR - https://doi.org/10.1007/978-3-658-45267-4_14 SN - 978-3-658-45267-4 SP - 227 EP - 243 PB - Springer Gabler CY - Wiesbaden ER - TY - CHAP A1 - Busche, Annika A1 - Hoppe, Holger ED - Beditsch, Christian ED - Koch, Michael T1 - Die Umsetzung der EU-Taxonomie in der Automobilindustrie: eine erste Reflexion T2 - Management for Sustainability: Begleitend zum Nachhaltigkeitskongress der SRH Fernhochschule 2023 UR - https://doi.org/10.1007/978-3-658-45267-4_13 Y1 - 2025 UR - https://doi.org/10.1007/978-3-658-45267-4_13 SN - 978-3-658-45267-4 SP - 209 EP - 224 PB - Springer Gabler CY - Wiesbaden ER - TY - INPR A1 - Boemelburg, Raphael A1 - Schuhmacher, Alexander A1 - Gassmann, Oliver T1 - Open Innovation Strategies and Product Performance in Pharma R&D: Insights into Exploration and Exploitation T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.5562088 Y1 - 2025 UR - https://dx.doi.org/10.2139/ssrn.5562088 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Hennighausen, Christine A1 - Lange, Benjamin P. A1 - Schwab, Frank ED - Hammerl, Manfred ED - Schwarz, Sascha ED - Willführ, Kai P. T1 - Evolutionary Media Psychology T2 - Evolutionary Social Sciences: A Tour UR - https://doi.org/10.1007/978-3-658-48028-8_5 Y1 - 2025 UR - https://doi.org/10.1007/978-3-658-48028-8_5 SN - 978-3-658-48028-8 SP - 77 EP - 96 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Banerjee, Sweta A1 - Bertram, Christof A1 - Ammeling, Jonas A1 - Weiss, Viktoria A1 - Conrad, Thomas A1 - Klopfleisch, Robert A1 - Kaltenecker, Christopher C. A1 - Breininger, Katharina A1 - Aubreville, Marc ED - Palm, Christoph ED - Breininger, Katharina ED - Deserno, Thomas Martin ED - Handels, Heinz ED - Maier, Andreas ED - Maier-Hein, Klaus H. ED - Tolxdorff, Thomas T1 - Comprehensive Dataset of Coarse Tumor Annotations for The Cancer Genome Atlas Breast Invasive Carcinoma T2 - Bildverarbeitung für die Medizin 2025: Proceedings, German Conference on Medical Image Computing, Regensburg March 09–11, 2025 UR - https://doi.org/10.1007/978-3-658-47422-5_56 Y1 - 2025 UR - https://doi.org/10.1007/978-3-658-47422-5_56 SN - 978-3-658-47422-5 SP - 260 EP - 265 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Schneider, Yvonne A1 - Eberl, Sabine A1 - Hirsch, Bernhard ED - Kümpel, Thomas ED - Heupel, Thomas ED - Schlenkrich, Kay T1 - Nachhaltigkeit in der Unternehmensberichterstattung: Eine Analyse der Nachhaltigkeitsberichte ausgewählter Chemieunternehmen T2 - Controlling & Innovation 2025/2026: Nachhaltigkeit UR - https://doi.org/10.1007/978-3-658-48987-8_11 Y1 - 2025 UR - https://doi.org/10.1007/978-3-658-48987-8_11 SN - 978-3-658-48987-8 SP - 203 EP - 225 PB - Springer Gabler CY - Wiesbaden ER - TY - CHAP A1 - Ketterl, Simone ED - Blödorn, Andreas ED - Marx, Friedhelm T1 - Achtung, Europa! (1936) T2 - Thomas Mann-Handbuch: Leben – Werk – Wirkung UR - https://doi.org/10.1007/978-3-662-69437-4_51 Y1 - 2025 UR - https://doi.org/10.1007/978-3-662-69437-4_51 SN - 978-3-662-69437-4 SP - 315 EP - 316 PB - J.B. Metzler CY - Berlin ET - 2., erweiterte Auflage ER - TY - CHAP A1 - Krüger, Max ED - Voigt, Guido ED - Fliedner, Malte ED - Haase, Knut ED - Brüggemann, Wolfgang ED - Hoberg, Kai ED - Meissner, Joern T1 - Cross-Validation of Random-Forests’ Classification Performance in Maritime Scenarios with Aggregated AIS Messages T2 - Operations Research Proceedings 2023: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Germany, August 29–September 1, 2023 UR - https://doi.org/10.1007/978-3-031-58405-3_78 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-58405-3_78 SN - 978-3-031-58405-3 SP - 609 EP - 616 PB - Springer CY - Cham ER - TY - CHAP A1 - Stummeyer, Christian ED - Berentzen, Johannes ED - Hoog, Philipp T1 - Der Einsatz von Künstlicher Intelligenz (KI) im Handel der Zukunft T2 - Modernes Handelsmanagement: Wissenschaftliche Erkenntnisse und Ansätze aus der Unternehmenspraxis für die Zukunft des Handels UR - https://doi.org/10.1007/978-3-658-46881-1_17 Y1 - 2025 UR - https://doi.org/10.1007/978-3-658-46881-1_17 SN - 978-3-658-46881-1 SP - 193 EP - 200 PB - Springer Gabler CY - Wiesbaden ER - TY - CHAP A1 - Bertram, Christof A1 - Weiss, Viktoria A1 - Donovan, Taryn A1 - Banerjee, Sweta A1 - Conrad, Thomas A1 - Ammeling, Jonas A1 - Klopfleisch, Robert A1 - Kaltenecker, Christopher C. A1 - Aubreville, Marc ED - Palm, Christoph ED - Breininger, Katharina ED - Deserno, Thomas Martin ED - Handels, Heinz ED - Maier, Andreas ED - Maier-Hein, Klaus H. ED - Tolxdorff, Thomas T1 - Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br) T2 - Bildverarbeitung für die Medizin 2025: Proceedings, German Conference on Medical Image Computing, Regensburg March 09–11, 2025 UR - https://doi.org/10.1007/978-3-658-47422-5_25 Y1 - 2025 UR - https://doi.org/10.1007/978-3-658-47422-5_25 SN - 978-3-658-47422-5 SP - 113 EP - 118 PB - Springer Vieweg CY - Wiesbaden ER - TY - INPR A1 - Dönmez, Ömer A1 - Tejero de la Piedra, Ricardo A1 - Klose, Simona A1 - Riolet, Matthieu A1 - Rozek, Lukas A1 - Vaculin, Ondrej A1 - Hach, Christian T1 - Approach for Passive Safety Assessment of Rearward-Sitting Occupants N2 - The introduction of highly automated vehicles (HAVs) will allow vehicle occupants to take advantage of new seating configurations, such as sitting rearward in the first row. One critical aspect of assessing occupant safety during high-speed impacts is the lack of a dedicated safety framework for rearward-facing passengers in the first row. This paper introduces a method to develop new assessment criteria for these novel seat configurations. Thus, this research presents some preliminary results of rearward-facing occupant injury biomechanics analyses carried out employing a variety of anthropomorphic test devices (ATDs) and the VIVA+ 50M human body model (HBM), restrained with different belt configurations and considering different seat typologies. It reviews the suitability of 50th percentile male ATDs to capture a biofidelic engagement with the seat structure and belt system and evaluates the reaction loads on the occupant, along with the energy management resulting from seat back rotational stiffness and energy-absorbing foams layered behind the seat cushion. Based on the results, the THOR-AV-50M is a suitable candidate for further biofidelity analysis. Torso occupant loads can be effectively reduced utilizing seat back rotation but pelvis load management requires further studies. UR - https://doi.org/10.5281/zenodo.18338626 Y1 - 2026 UR - https://doi.org/10.5281/zenodo.18338626 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66254 PB - Zenodo CY - Genf ER - TY - JOUR A1 - Mohan, Adithya A1 - Schön, Torsten T1 - Toward Robust Agents: A Survey of Adversarial Attacks and Defenses in Deep Reinforcement Learning JF - IEEE Access N2 - Deep Reinforcement Learning (DRL) has demonstrated remarkable success in autonomous decision-making across diverse domains, including robotics, autonomous driving, and game playing. However, recent studies have uncovered a critical vulnerability: DRL agents are highly susceptible to adversarial attacks that can significantly degrade their performance or lead to catastrophic failure. These attacks exploit different components of the learning pipeline observations, actions, rewards, and policies exposing new challenges unique to DRL compared to supervised learning. This survey provides a comprehensive examination of adversarial threats and corresponding defense mechanisms within the DRL paradigm. This also aims to serve as a foundational reference for researchers and practitioners seeking to understand and mitigate adversarial vulnerabilities in DRL. UR - https://doi.org/10.1109/ACCESS.2026.3657855 Y1 - 2026 UR - https://doi.org/10.1109/ACCESS.2026.3657855 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66232 SN - 2169-3536 VL - 14 SP - 14481 EP - 14497 PB - IEEE CY - New York ER - TY - JOUR A1 - Ammeling, Jonas A1 - Ganz, Jonathan A1 - Rosbach, Emely A1 - Lausser, Ludwig A1 - Bertram, Christof A1 - Breininger, Katharina A1 - Aubreville, Marc T1 - Benchmarking Foundation Models for Mitotic Figure Classification JF - Machine Learning for Biomedical Imaging N2 - The performance of deep learning models is known to scale with data quantity and diversity. In pathology, as in many other medical imaging domains, the availability of labeled images for a specific task is often limited. Self-supervised learning techniques have enabled the use of vast amounts of unlabeled data to train large-scale neural networks, i.e., foundation models, that can address the limited data problem by providing semantically rich feature vectors that can generalize well to new tasks with minimal training effort increasing model performance and robustness. In this work, we investigate the use of foundation models for mitotic figure classification. The mitotic count, which can be derived from this classification task, is an independent prognostic marker for specific tumors and part of certain tumor grading systems. In particular, we investigate the data scaling laws on multiple current foundation models and evaluate their robustness to unseen tumor domains. Next to the commonly used linear probing paradigm, we also adapt the models using low-rank adaptation (LoRA) of their attention mechanisms. We compare all models against end-to-end-trained baselines, both CNNs and Vision Transformers. Our results demonstrate that LoRA-adapted foundation models provide superior performance to those adapted with standard linear probing, reaching performance levels close to 100 % data availability with only 10 % of training data. Furthermore, LoRA-adaptation of the most recent foundation models almost closes the out-of-domain performance gap when evaluated on unseen tumor domains. However, full fine-tuning of traditional architectures still yields competitive performance. UR - https://doi.org/10.59275/j.melba.2026-a3eb Y1 - 2026 UR - https://doi.org/10.59275/j.melba.2026-a3eb UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66220 SN - 2766-905X VL - 3 IS - MELBA–BVM 2025 Special Issue SP - 38 EP - 55 PB - Melba editors CY - [s. l.] ER - TY - JOUR A1 - Baum, Heinz-Georg A1 - Fink, Christian A1 - Fischer, Thomas M. A1 - Günther, Edeltraud A1 - Günther, Thomas A1 - Haller, Axel A1 - Kafadar, Kalina A1 - Marten, Kai-Uwe A1 - Schultze, Wolfgang A1 - Wittmann, Robert T1 - „Konnektivität“ als Strukturprinzip akademischen Wirkens von Prof. Dr. Dr. h.c. mult. Adolf G. Coenenberg – Ein Nachruf JF - Schmalenbach Impulse UR - https://doi.org/10.54585/JAEY3059 Y1 - 2025 UR - https://doi.org/10.54585/JAEY3059 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66127 SN - 2749-9804 N1 - Ausgenommen von der Lizenz sind im Beitrag enthaltene Zitate und sonstige eingebundene externe Inhalte. VL - 5 PB - Schmalenbach-Gesellschaft fur Betriebswirtschaft CY - Frechen ER -