TY - JOUR A1 - Gedeon, Steven A1 - Huber, Florian T1 - Using AI-Enabled Images and Comic Narrative to Enhance Entrepreneurship Education JF - Entrepreneurship Education and Pedagogy N2 - This learning innovation is an engaging technique to help students learn abstract concepts such as entrepreneurship theory, mindsets, and methods in a playful and exciting way. We explore how current AI tools can be used by entrepreneurship educators to enhance their course materials by creating memorable images and story-based, highly visual comic book content (“graphic novels”). We implemented these enhancements in an interactive learning platform based on Articulate Storyline and tested them in an introductory entrepreneurship course with over 2000 students per year on building an entrepreneurial mindset. In this article, we include sample copies of the images and graphic novel comics and highlight key methods, lessons, results, and design artifacts created during the course of our learning journey. Educators may add these free Open Educational Resource (OER) assets to their own courses by linking to the online version. We believe this approach to entrepreneurship education enhances students’ engagement, memory retention, and the ability to identify and name underlying concepts and entrepreneurship theories. We hope to spark the interest of other entrepreneurship educators to use similar approaches at their universities. UR - https://doi.org/10.1177/25151274251358708 Y1 - 2025 UR - https://doi.org/10.1177/25151274251358708 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-68060 SN - 2515-1274 VL - 9 IS - 2 SP - 327 EP - 345 PB - Sage CY - London ER - TY - JOUR A1 - Azzam, Mohamed A1 - Sauer, Dirk Uwe A1 - Endisch, Christian A1 - Lewerenz, Meinert T1 - Comprehensive Analysis of Float Current Behavior and Calendar Aging Mechanisms in Lithium‐Ion Batteries JF - Batteries & Supercaps N2 - Aiming to quantify degradation currents from solid electrolyte interphase formation (ISEIgrowth) and gain of active lithium due to cathode lithiation (ICL), resulting from electrolyte decomposition, the float current behavior of lithium-ion batteries is investigated with different cathode materials. The float current, IFloat , represents the recharge current required to maintain the cell at a fixed potential during calendar aging. This current arises as lithium is irreversibly consumed at the anode or inserted into the cathode, shifting the electrode potentials. To account for the asymmetric response of the electrodes, a voltage-dependent scaling factor, SF, is introduced, derived from the slopes of the electrode-specific voltage curves. Using this factor in combination with measured float currents and capacity loss rates from check-up tests, ISEIgrowth and ICL is quantified at 30 °C across various float voltages. Although the SF and capacity data are limited to 30 °C, the model is extended to a range of 5–50 °C using only float current measurements. The results show that using capacity loss rates alone underestimate ISEIgrowth and that ICL, contributes significantly to the observed float current at elevated voltages, indicating that cathode lithiation plays an increasingly important role in high-voltage calendar aging. UR - https://doi.org/10.1002/batt.202500349 Y1 - 2025 UR - https://doi.org/10.1002/batt.202500349 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-68054 SN - 2566-6223 VL - 9 IS - 1 PB - Wiley CY - Weinheim ER - TY - JOUR A1 - Volpato, Guilherme A1 - de Souza Pinto Pereira, Adriano A1 - Neumeier, Steffen A1 - Hotza, Dachamir A1 - Göken, Mathias A1 - Tetzlaff, Ulrich A1 - Fredel, Márcio Celso T1 - Influence of a Standard Heat Treatment on the Microstructure and Properties of Inconel X‐750 Produced by Laser Powder Bed Fusion JF - Advanced Engineering Materials N2 - The production of nickel‐base superalloys through powder bed fusion using a laser beam (PBF‐LB) offers a promising method for reducing the cost of aeronautical components, especially those with complex geometries. However, when these materials are processed using PBF‐LB, the standard heat treatments developed for conventional manufacturing routes do not consistently yield predictable microstructures or mechanical properties. Thus, this study analyzes how PBF‐LB affects the microstructure and mechanical behavior of Inconel alloy X‐750 when compared to a hot‐rolled counterpart after undergoing a standard precipitation‐hardening heat treatment (solution annealing, stabilization, and precipitation). Microstructure is examined using analytical electron microscopy and high‐energy X‐ray diffraction, while mechanical behavior is assessed through microhardness. Significant differences between both manufacturing routes are detected, so that PBF‐LB processing led to an increase in grain size, anisotropy, fraction of low‐angle grain boundaries, mean angle of misorientation, and dislocation density. Moreover, PBF‐LB promoted the formation of γ′‐Ni3(Al,Ti) and η‐Ni3Ti phases during solution annealing and stabilization, respectively. Notably, the formation of γ′ contributes to an anomalous microhardness increase observed between these steps. These findings suggest that PBF‐LB may inhibit recrystallization and facilitate precipitation during heat treatment, thereby affecting the performance of components produced using this technology. UR - https://doi.org/10.1002/adem.202500306 Y1 - 2025 UR - https://doi.org/10.1002/adem.202500306 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67931 SN - 1527-2648 VL - 27 IS - 24 PB - Wiley CY - Weinheim ER - TY - JOUR A1 - Langer, Robin A1 - Tentrup, Thomas A1 - Schweiger, Hans-Georg T1 - A Vehicle-in-the-Loop Approach for Front Camera Verification Using Adaptive High Beam JF - IEEE Open Journal of Intelligent Transportation Systems N2 - As automated driving functions based on environmental sensors become increasingly deployed, ensuring reliable performance over the vehicle lifetime is essential. Currently, verification is carried out through internal self-diagnostics, which do not always operate correctly, and periodic technical inspection, which assesses only the test criteria installation and condition. Test criteria for function and efficiency of environmental sensors are neither standardized nor routinely assessed, creating the need for new testing approaches. Previous low-cost research approaches defined a method and conducted experiments to verify a vehicle’s front camera by displaying visual stimuli and evaluating the high beam assist response. Whereas the camera’s function could be verified through a basic qualitative check, the approach did not enable a quantitative evaluation of its performance. The aim of this work was therefore to advance this approach and investigate the added value of a Vehicle-in-the-Loop test bench for front camera verification. Three tests were conducted. A supporting method was introduced to reproducibly detect and define the position of the headlight cutoff line, enabling consistent evaluation of the vehicle’s reaction. With static camera stimuli (Test I), the function of the front camera could be verified, and the influence of the vehicle geometry on the reaction was assessed. Dynamic stimuli (Test II) additionally enabled an efficiency evaluation, allowing quantitative comparison between vehicles. However, transferring the stimuli into a reproducible virtual simulation (Test III) remained challenging, as the vehicles under test did not respond consistently. Further research is required to refine and simplify the method toward a standardized periodic technical inspection procedure. UR - https://doi.org/10.1109/OJITS.2026.3672438 Y1 - 2026 UR - https://doi.org/10.1109/OJITS.2026.3672438 SN - 2687-7813 PB - IEEE CY - New York ER - TY - JOUR A1 - Göbel, Jan-Philipp A1 - Mertens, Jan Cedric A1 - Riener, Andreas T1 - Thermal imaging for the detection of driver impairment: evidence from a high-fidelity driving simulator study JF - Traffic Injury Prevention N2 - Objectives Driving under the influence of alcohol (DUI) remains a major contributor to fatal traffic crashes worldwide. With increasing regulatory pressure, such as requirements by Euro NCAP for in-vehicle impairment detection, there is a growing need for reliable, real-time monitoring solutions. While traditional DUI detection approaches focus on driving behavior or eye movement analysis, this study explores the potential of thermal imaging as a noninvasive alternative for detecting alcohol impairment. Methods We conducted a large-scale experimental study with 120 participants in a high-fidelity driving simulator, capturing thermal facial data under both non-impaired and alcohol-impaired conditions. A novel temperature extraction method was developed based on facial landmarks, incorporating multiple frames to reduce noise and improve temporal stability. Ambient cabin temperature was also recorded to normalize facial temperature readings and control for environmental influences. Several machine learning classifiers, including Logistic Regression, Random Forest, Support Vector Machine (SVM), and Gradient-Boosting Models, were trained using five facial temperature features (cheek, temple, ear, forehead, and nasal tip) and evaluated via five-fold subject-wise cross-validation. Results Significant temperature changes were observed in specific facial regions (particularly the cheek, ear, temple, and nasal tip) under alcohol influence. Among the evaluated models, Logistic Regression achieved the highest average classification accuracy (62%), while SVM demonstrated the most stable performance across folds. The model showed a slight conservative bias toward predicting the baseline (non-impaired) class, thereby reducing the risk of false positive classifications. Environmental conditions, including cabin temperature, were verified to be stable across both driving sessions, ensuring the validity of the physiological measurements. Conclusions This study demonstrates the feasibility of using thermal imaging for in-vehicle DUI detection under realistic conditions. Our contributions include the development of a robust facial temperature processing pipeline, the creation of a unique dataset collected under ecologically valid conditions, and a comprehensive comparison of seven state-of-the-art classification models. Thermal imaging represents a promising complementary modality for future driver monitoring systems focused on safety and impairment detection. UR - https://doi.org/10.1080/15389588.2026.2624006 Y1 - 2026 UR - https://doi.org/10.1080/15389588.2026.2624006 SN - 1538-9588 PB - Taylor & Francis CY - Philadelphia ER - TY - JOUR A1 - Ivan, Zsanett Zsofia A1 - Hirling, Dominik A1 - Grexa, Istvan A1 - Ammeling, Jonas A1 - Molnar, Csaba A1 - Micsik, Tamas A1 - Dobra, Katalin A1 - Kuthi, Levente A1 - Sukosd, Farkas A1 - Fillinger, Janos A1 - Moldvay, Judit A1 - Toth, Erika A1 - Aubreville, Marc A1 - Miczan, Vivien A1 - Horvath, Peter T1 - A Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis JF - Scientific Data N2 - Mitosis detection represents a critical task in digital pathology, as it plays an important role in the tumor grading and prognosis of patients. Manual determination is a labor-intensive task for practitioners with high interobserver variability, thus, automation is a priority. There has been substantial progress towards creating robust mitosis detection algorithms, primarily driven by the Mitosis Domain Generalization (MIDOG) challenges. Also, there has been growing interest in the molecular characterization of mitosis to achieve a more comprehensive understanding of its underlying mechanisms in a subphase-specific manner. We introduce a new mitotic figure dataset annotated with subphase information based on the MIDOG++ dataset as well as a previously unrepresented tumor domain to enhance the diversity and applicability. We envision a new perspective for domain generalization by improving model performance with subtyping mitosis, complemented with an atypical mitotic class. Our work has implications in two main areas: subtyping information can provide helpful information in mitosis detection, while also providing promising new directions in answering biological questions, such as molecular analysis of subphases. UR - https://doi.org/10.1038/s41597-026-07007-7 Y1 - 2026 UR - https://doi.org/10.1038/s41597-026-07007-7 SN - 2052-4463 SP - 17 PB - Springer CY - London ER - TY - JOUR A1 - Rosbach, Emely A1 - Ammeling, Jonas A1 - Ganz, Jonathan A1 - Bertram, Christof A1 - Conrad, Thomas A1 - Riener, Andreas A1 - Aubreville, Marc T1 - Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology JF - Machine Learning for Biomedical Imaging N2 - Artificial intelligence (AI)-driven clinical decision support systems (CDSS) hold promise to improve diagnostic accuracy and efficiency in computational pathology. However, collaboration between human experts and AI may give rise to cognitive biases, such as automation and anchoring bias, wherein users may be inclined to blindly adopt system recommendations or be disproportionately influenced by the presence of AI predictions, even when they are inaccurate. These biases may be exacerbated under time pressure, pervasive in routine pathology diagnostics, or shaped by individual user characteristics. To investigate these effects, we conducted a web-based experiment in which trained pathology experts (n = 28) estimated tumor cell percentages twice: once independently and once with the aid of an AI. A subset of the estimates in each condition was performed under time constraints. Our findings indicate that AI integration generally enhances diagnostic performance. However, it also introduced a 7% automation bias rate, quantified as the number of accepted negative consultations, where a previously correct independent assessment gets overturned by inaccurate AI guidance. While time pressure did not increase the frequency of automation bias occurrence, it appeared to intensify its severity, as evidenced by a performance decline linked to increased automation reliance under cognitive load. A linear mixed-effects model (LMM) analysis, simulating weighted averaging, revealed a statistically significant positive coefficient for AI advice, indicating a moderate degree of anchoring on system output. This effect was further intensified under time pressure, suggesting that anchoring bias may become more pronounced when cognitive resources are limited. A secondary LMM evaluation assessing automation reliance, used as a proxy for both automation and anchoring bias, demonstrated that professional experience and self-efficacy were associated with reduced dependence on system support, whereas higher confidence during AI-assisted decision-making was linked to increased automation reliance. Together, these findings underscore the dual nature of AI integration in clinical workflows, offering performance benefits while also introducing risks of cognitive bias–driven diagnostic errors. As an initial investigation focused on a single medical specialty and diagnostic task, this study aims to lay the groundwork for future research to explore these phenomena across diverse clinical contexts, ultimately supporting the establishment of appropriate reliance on automated systems and the safe, effective integration of human–AI collaboration in medical decision-making. UR - https://doi.org/10.59275/j.melba.2026-87b1 Y1 - 2026 UR - https://doi.org/10.59275/j.melba.2026-87b1 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67787 SN - 2766-905X VL - 3 IS - MELBA–BVM 2025 Special Issue SP - 126 EP - 147 PB - Melba editors CY - [s. l.] ER - TY - JOUR A1 - Rappsilber, Tim A1 - Krüger, Simone A1 - Raspe, Tina A1 - Reclo, Rudolf A1 - Schweiger, Hans-Georg T1 - Toxic gas emission in electric vehicles: What a battery fire means for occupant safety JF - Fire Safety Journal N2 - This work investigates the ability of occupants to escape from a battery electric vehicle during a thermal runaway of the traction battery initiated by nail penetration. Such events generate intense fires and large amounts of toxic gases, rapidly reducing the time available for safe evacuation. In controlled full-scale outdoor experiments on two identical mid-range battery electric vehicles, the smoke gas composition inside the cabin is examined. Using FTIR spectrometers and an oxygen analyzer, temporal and spatial concentrations of organic carbonates, hydrocarbons, hydrogen fluoride, hydrogen cyanide, acetylene, and oxygen are measured. Sampling locations include the driver's breathing zone, the right rear passenger's breathing zone, and the exterior right rear wheel housing. The study further evaluates occupant's escape capability using the fractional effective dose (FED) model in accordance with ISO 13571. Results show that toxic gases can reach harmful concentrations within minutes after smoke enters the cabin, though smoke entry times vary widely with fire progression. Differences in fire development and smoke dispersion strongly affect FED values and thus the time available for self-rescue. Overall, the findings provide an important basis for assessing occupant safety during battery electric vehicle fires and highlight the need for improved mitigation strategies. UR - https://doi.org/10.1016/j.firesaf.2026.104717 Y1 - 2026 UR - https://doi.org/10.1016/j.firesaf.2026.104717 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67774 SN - 1873-7226 VL - 2026 IS - 162 PB - Elsevier CY - New York ER - TY - JOUR A1 - Glaas, Saskia A1 - Pham, Huong A1 - Münstermann, Hannes A1 - Frey, Dieter T1 - The Search for Meaning at Work: A Randomized Controlled Trial of a Cognitive Crafting Intervention JF - International Journal of Applied Positive Psychology N2 - Many employees struggle to experience a sense of meaning in their work, posing a challenge to workplace flourishing. Cognitive crafting—the process of reframing how one interprets their work—can enhance meaningful work and well-being. However, strategies to effectively promote it remain unclear. Building on positive psychology interventions, self-determination theory, and job crafting theory, we developed a brief online intervention using meaning-based reflection and cognitive reframing. Its effectiveness was evaluated in a pre-registered randomized controlled trial ( N = 260) with an active control group, assessing outcomes post-intervention and at one-month follow-up. Compared to the control group, the intervention group reported significantly higher levels of meaningful work, work engagement, and job satisfaction. However, these differences were driven by lower scores in the control group compared to baseline, while the intervention group remained stable. These findings highlight the complexity of designing effective cognitive crafting interventions and underscore the need for further theory-driven research to identify strategies that reliably enhance positive work evaluations and work-related well-being. UR - https://doi.org/10.1007/s41042-026-00274-0 Y1 - 2026 UR - https://doi.org/10.1007/s41042-026-00274-0 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67739 SN - 2364-5059 VL - 11 IS - 1 PB - Springer CY - Cham ER - TY - JOUR A1 - Agricola, Barbara A1 - Bärtl, Marko A1 - Landesberger, Martin A1 - Zhao, Huan A1 - Palm, Frank A1 - Kerschenlohr, Annegret A1 - Jägle, Eric A. T1 - The columnar to bimodal transition of Al–Cr–Mo–Sc–Zr alloys during laser powder bed fusion JF - Materials & Design N2 - Aluminium alloys processed via Powder Bed Fusion using a Laser Beam (PBF-LB) enable complex and lightweight components. Especially high-strength and heat-resistant Al alloys are in high demand for aerospace and motorsports applications, but the processability of these alloys remains critical due to hot-cracking along columnar grains. Therefore, the microstructural control of PBF-LB alloys is under increasing consideration. Al-Cr alloys have shown promising high-temperature properties and good processability in previous studies despite having a coarse and fully columnar grain structure. In this study, Al-Cr-Mo-Sc-Zr alloys with different compositions are subjected to phase analysis to understand the transition from fully columnar to bimodal grain structures. Synchrotron diffraction, electron dispersive spectroscopy, and atom probe tomography results have shown that three phases are present, irrespective of the alloys’ composition: 𝛼-Al, Al45Cr7, and Al3(Sc,Zr). The introduction of Cr increases the lattice mismatch between 𝛼-Al and Al3(Sc,Zr) and is suspected to hinder grain refinement by Sc and Zr. Various thermodynamic simulations revealed the effect of grain refining elements (Sc+Zr) and Cr on the solidification path. The combination of simulation and experimental investigations led to three hypotheses on the columnar to bimodal transition in Al-Cr alloys. These results will help to further enable the microstructural control of PBF-LB processed alloys. UR - https://doi.org/10.1016/j.matdes.2026.115770 Y1 - 2026 UR - https://doi.org/10.1016/j.matdes.2026.115770 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67559 SN - 0264-1275 VL - 2026 IS - 264 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Ngetuny, Joshua Kiplagat A1 - Baldauf, Tobias A1 - Zörner, Wilfried T1 - Evaluating Feedstock Pretreatment Methods to Unlock Co-Digestion in Small-Scale Biogas Systems: A Multi-Criteria Approach to System Integration and Decision Making JF - Energies N2 - Small-scale biogas plants in developing countries present a viable alternative to traditional polluting energy sources, particularly in rural and underserved communities. These systems typically rely on locally sourced livestock manure; however, inconsistent supply often results in underfeeding, reduced biogas production, and, in many cases, system abandonment. Co-digestion with crop residues presents a promising strategy to enhance feedstock availability and system resilience. However, the recalcitrant nature of lignocellulosic biomass and limited access to suitable pretreatment technologies have constrained its adoption. This paper evaluates feasible pretreatment methods for integrating crop residues, especially straw, into small-scale biogas systems. Using the Analytic Hierarchy Process (AHP), pretreatment methods are assessed based on five criteria: (i) technology simplicity, (ii) energy requirements, (iii) capital and operational costs, (iv) effectiveness, and (v) environmental impact. The analysis identifies microbial pretreatment using the liquid fraction of digestate, combined with mechanical size reduction, as the most suitable approach for small-scale implementation, utilizing low-cost, simplified mechanical devices adaptable to various crop residues with minimal energy input. A conceptual design of a demonstration plant is proposed to validate this integrated pretreatment approach and assess its impact on biogas yield, system performance, and technology adoption. The design incorporates an on-site digestate separation unit to supply microbial inoculum and emphasizes simplicity and cost-effectiveness in material handling and energy use. Pilot trials are proposed to evaluate key performance indicators, including specific methane yield (LCH4/gVS added), volatile solids reduction (%), and methane content increase (%), ensuring evidence-based adoption and practical applicability of the design. UR - https://doi.org/10.3390/en19051303 Y1 - 2026 UR - https://doi.org/10.3390/en19051303 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67479 SN - 1996-1073 VL - 19 IS - 5 PB - MDPI CY - Basel ER - TY - JOUR A1 - Mion, Giorgio A1 - Loza Adaui, Cristian Rolando T1 - Understanding the purpose of benefit corporations: an empirical study on the Italian case JF - International Journal of Corporate Social Responsibility N2 - Rethinking the traditional understanding of organizational purpose appears to be necessary. A teleological paradigm shift seems to be on its way, changing the focus of attention from considering business organizations as instruments used to generate profits toward a more comprehensive understanding of their purpose and of the benefit they can create for society. Recently, new organizational entities have emerged, accompanied by the renewal of institutional frameworks, among them are benefit corporations. Italy was the first European country to introduce a legal framework to define the benefit corporation as a particular legal entity. The Italian law on the benefit corporations proposes the promotion of firms that pursue the generation of benefit in a responsible, sustainable, and transparent way and considering diverse stakeholders. This paper explores and describes the multidimensional understanding of benefit and purpose of Italian benefit corporations, utilizing qualitative and quantitative content analysis of 94 Italian benefit corporations’ purpose declarations, and providing a deep insight into the purpose declared by benefit corporations. The research highlights a certain vagueness in public declarations of the purpose of benefit corporations, even though it is clear that they attempt to differentiate themselves from traditional businesses by focusing on social objectives more than on economic ones. Furthermore, normative compliance emerged, but further normative requirements seem to be needed to make more effective the transformative potentiality of benefit corporations and to avoid risks of opportunistic behaviors. UR - https://doi.org/10.1186/s40991-020-00050-6 Y1 - 2020 UR - https://doi.org/10.1186/s40991-020-00050-6 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67296 SN - 2366-0066 SN - 3059-3174 VL - 5 IS - 1 PB - SpringerOpen CY - Cham ER - TY - JOUR A1 - Loza Adaui, Cristian Rolando T1 - Sustainability Reporting Quality of Peruvian Listed Companies and the Impact of Regulatory Requirements of Sustainability Disclosures JF - Sustainability N2 - Regulations establishing mandatory sustainability reporting practices are proliferating around the world. The empirical evidence comparing sustainability reporting quality (SRQ) in the context of mandatory and voluntary institutional frameworks does not show consensus. Similarly, this occurs with studies addressing the effects of regulatory shocks on SRQ. Moreover, empirical evidence addressing SRQ in Latin American countries is scarce. To fill this gap, this study aims to explore the consequences of introducing new regulatory requirements for sustainability disclosure on SRQ of Peruvian companies. To reach that goal, 81 sustainability disclosure documents published between 2014 and 2016 by 27 companies included in the S&P/BVL Peru General Index of Lima’s Stock Exchange were analyzed using qualitative content analysis methods and adopting a multidimensional approach for SRQ evaluation. The findings show a constant improvement of SRQ regardless of the introduction of the new regulatory requirements. Furthermore, after the entry into force of new sustainability reporting obligations, the number of companies providing third-party independent assurance of the information contained in their sustainability disclosure documents decreases, suggesting that for the Peruvian case, regulatory requirements tend to discourage companies to invest in the credibility of their sustainability disclosure documents, and promote a symbolic application of sustainability disclosure standards. UR - https://doi.org/10.3390/su12031135 Y1 - 2020 UR - https://doi.org/10.3390/su12031135 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67307 SN - 2071-1050 VL - 12 IS - 3 PB - MDPI CY - Basel ER - TY - JOUR A1 - Mion, Giorgio A1 - Loza Adaui, Cristian Rolando T1 - Mandatory Nonfinancial Disclosure and Its Consequences on the Sustainability Reporting Quality of Italian and German Companies JF - Sustainability N2 - Companies disclosing nonfinancial information through sustainability reporting practices provide markets with data on their social, environmental, and governance performance. The quality of sustainability reporting is much discussed in the literature because this quality affects factors such as the credibility of accountability and building stakeholders’ trust in the company. Nonetheless, the concept of quality is multidimensional, and empirical evidence relating to the quality of sustainability reporting presents different findings. Regulations on mandatory nonfinancial disclosure (NFD) open new perspectives for research on sustainability reporting quality (SRQ). This study explored the effect of introducing mandatory NFD on SRQ by focusing on the effects of new legislation (Directive 2014/95/EU) introduced in Italy and Germany. The analysis was conducted through qualitative content analysis of the sustainability reporting practices of Italian and German companies in the top lists of stock exchanges. Sustainability reporting practices of one year before (2016) and one year after (2017) the implementation of Directive 2014/95/EU were compared. The results of 132 observations demonstrated that the quality of sustainability reporting increased after implementation of the law on mandatory NFD. Further, the effect of the law seemed to reduce the differences in SRQ of the two countries before the introduction of mandatory NFD. The results suggested that obligatoriness of NFD affects SRQ together with other relevant determinants focused on by previous research (e.g., company size and industry type). UR - https://doi.org/10.3390/su11174612 Y1 - 2019 UR - https://doi.org/10.3390/su11174612 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67313 SN - 2071-1050 VL - 11 IS - 17 PB - MDPI CY - Basel ER - TY - JOUR A1 - Bodenschatz, Anja T1 - When own interest stands against the “greater good” – Decision randomization in ethical dilemmas of autonomous systems that involve their user’s self-interest JF - Computers in Human Behavior: Artificial Humans N2 - Autonomous systems (ASs) decide upon ethical dilemmas and their artificial intelligence as well as situational settings become more and more complex. However, to study common-sense morality concerning ASs abstracted dilemmas on autonomous vehicle (AV) accidents are a common tool. A special case of ethical dilemmas is when the AS’s users are affected. Many people want AVs to adhere to utilitarian programming (e.g., to save the larger group), or egalitarian programming (i.e., to treat every person equally). However, they want their own AV to protect them instead of the “greater good”. That people reject utilitarian programming as an AS’s user while supporting the idea from an impartial perspective has been termed the “social dilemma of AVs”. Meanwhile, preferences for another technical capability, which would implement egalitarian programming, have not been elicited for dilemmas involving self-interest: decision randomization. This paper investigates normative and descriptive preferences for a self-protective, self-sacrificial, or randomized choice by an AS in a dilemma where people are the sole passenger of an AV, and their survival stands against the survival of several others. Results suggest that randomization may mitigate the “social dilemma of AVs” by bridging between a societally accepted programming and the urge of ASs’ users for self-protection. UR - https://doi.org/10.1016/j.chbah.2024.100097 Y1 - 2024 UR - https://doi.org/10.1016/j.chbah.2024.100097 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67088 SN - 2949-8821 VL - 2 IS - 2 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Pandey, Amit A1 - Mohd, Zubair Akhtar A1 - Veettil, Nandana Kappuva A1 - Wunderle, Bernhard A1 - Elger, Gordon T1 - Quantitative Kernel estimation from traffic signs using slanted edge spatial frequency response as a sharpness metric JF - Scientific Reports N2 - Sharpness is a critical optical property of automotive cameras, measured by the spatial frequency response (SFR) within the end-of-line (EOL) test after manufacturing. This work presents a method to estimate the blurring kernel of an automotive camera, which could be the first step toward state monitoring of automotive cameras. To achieve this, Principal Component Analysis (PCA) was performed, using synthetic kernels generated by Zemax. The PCA model was built with approximately 1300 base kernels representing spatially variant point spread functions (PSFs). This model generates kernel samples during the estimation process. Synthetic images were created by convolving the synthetic kernels with reference traffic sign images and compared with real-life data captured by an automotive camera. These synthetic data were utilized for algorithm development, and later on, validation was performed on real-life data. The algorithm extracts two pixels regions of interest (ROIs) containing slanted edges from the blurred image and crops matching ROIs from a reference sharp image. Each candidate kernel was used to blur the reference ROIs, and the resulting SFR was compared with the blurred ROIs’ SFR. Differential evolution optimization minimizes the SFR difference, selecting the kernel that best matches the observed blur. The final kernel was evaluated against the true kernel for accuracy. The structural similarity index measure (SSIM) between the original and estimated blurred ROIs ranges from 0.808 to 0.945. For true vs. estimated kernels, SSIM varies from 0.92 to 0.98. Pearson correlation coefficients range from 0.84 to 0.99, Cosine similarity from 0.86 to 0.99, and mean squared error (MSE) from to . Validation on real-life camera images showed that the SSIM between the estimated and blurred ROI was >0.82, showing promising accuracy in kernel estimation, which could be used towards in-field monitoring of camera sharpness degradation. UR - https://doi.org/10.1038/s41598-026-40556-w Y1 - 2026 UR - https://doi.org/10.1038/s41598-026-40556-w UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66915 SN - 2045-2322 VL - 16 IS - 1 PB - Springer Nature CY - London 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 - 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 AAVs 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 - 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 - 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 - 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 - 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 - Rufino Júnior, Carlos Antônio 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 - 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 - TY - JOUR A1 - Raisuddin, Abu Mohammed A1 - Holmblad, Jesper A1 - Haghighi, Hamed A1 - Poledna, Yuri A1 - Funk Drechsler, Maikol A1 - Donzella, Valentina A1 - Aksoy, Eren Erdal T1 - REHEARSE-3D: A Multi-Modal Emulated Rain Dataset for 3D Point Cloud De-Raining JF - Sensors N2 - Sensor degradation poses a significant challenge in autonomous driving. During heavy rainfall, interference from raindrops can adversely affect the quality of LiDAR point clouds, resulting in, for instance, inaccurate point measurements. This, in turn, can potentially lead to safety concerns if autonomous driving systems are not weather-aware, i.e., if they are unable to discern such changes. In this study, we release a new, large-scale, multi-modal emulated rain dataset, REHEARSE-3D, to promote research advancements in 3D point cloud de-raining. Distinct from the most relevant competitors, our dataset is unique in several respects. First, it is the largest point-wise annotated dataset (9.2 billion annotated points), and second, it is the only one with high-resolution LiDAR data (LiDAR-256) enriched with 4D RADAR point clouds logged in both daytime and nighttime conditions in a controlled weather environment. Furthermore, REHEARSE-3D involves rain-characteristic information, which is of significant value not only for sensor noise modeling but also for analyzing the impact of weather at the point level. Leveraging REHEARSE-3D, we benchmark raindrop detection and removal in fused LiDAR and 4D RADAR point clouds. Our comprehensive study further evaluates the performance of various statistical and deep learning models, where SalsaNext and 3D-OutDet achieve above 94% IoU for raindrop detection. UR - https://doi.org/10.3390/s26020728 Y1 - 2026 UR - https://doi.org/10.3390/s26020728 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66060 SN - 1424-8220 VL - 26 IS - 2 PB - MDPI CY - Basel ER - TY - JOUR A1 - Maksimovski, Daniel A1 - Festag, Andreas A1 - Facchi, Christian T1 - Adaptive Message Generation Rules for V2X Maneuver Coordination Service JF - IEEE Access N2 - Maneuver coordination enables connected and automated vehicles (CAVs) to collaboratively plan, negotiate, and execute driving maneuvers, aiming to enhance safety, traffic flow, and energy efficiency. As part of the Vehicle-to-Everything (V2X) communication system, it operates as a dedicated service that relies on detailed, bidirectional interactions between vehicles, unlike traditional broadcast-based V2X services. While maneuver coordination is the focus of ongoing research and standardization, the rules that govern when and how vehicles generate Maneuver Coordination Messages (MCMs) within the Maneuver Coordination Service (MCS) are still not fully defined. These rules are essential for ensuring timely and reliable coordination. This paper proposes three adaptive MCM generation strategies based on the operation mode of the MCS, maneuver priority, and current channel load. The first approach defines MCM rules for intent sharing, maneuver negotiation, and execution phases, factoring in maneuver importance. The second adjusts the frequency of intent MCMs when a negotiation message is received from another vehicle. The third adapts frequency based on real-time channel load during intent sharing. For comparison, two baseline strategies are also evaluated. The proposed rules are tested for highway merging and lane change use cases in traffic scenarios with increasing vehicle density and high channel loads. A comprehensive evaluation is conducted using metrics related to the network, message generation frequency, congestion control, and maneuver coordination. The results demonstrate significantly enhanced channel efficiency and communication reliability across all metrics. For example, under the final approach, maneuver negotiation time is reduced by a factor of five in congested V2X environments. UR - https://doi.org/10.1109/ACCESS.2026.3652364 Y1 - 2026 UR - https://doi.org/10.1109/ACCESS.2026.3652364 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66051 SN - 2169-3536 VL - 14 SP - 6417 EP - 6437 PB - IEEE CY - New York ER - TY - JOUR A1 - Schönhofer, Gerhard A1 - Komonen, Pauli A1 - Schwarz, Jan Oliver A1 - Bechthold, Laura T1 - Futures of Everyday Life: A Qualitative Content Analysis of Future Personas in Scenarios JF - Futures & Foresight Science N2 - Scenario reports, holding a long‐standing tradition in foresight and futures studies, act as an essential document for organizations to prepare for possible, plausible, and alternative futures. Focusing on descriptions and representations of everyday life, we examined 29 future persona narratives from six publications—covering a wide field from public to private sector—through qualitative content analysis. Our guiding question is: How can anthropological perspectives such as cultural relativism or postcolonial discourses contribute to an in‐depth, qualitative interpretation depictions of future everyday life? Acknowledging anthropology's colonial origins and its growing commitment to the interests of indigenous and other marginalized groups, we offer alternative readings of prominent scenario reports. Our findings suggest that scenario reports, in addition to anticipating possible futures, construct certain futures based on a systematic analysis of empirical data but also speculative interpretation. The results of these interpretative acts often appear elitist, stereotypical, and technocratic, often replicating dominant societal narratives rather than fostering substantive shifts in how the future is imagined. We therefore call for a more polyphonic representation of futures in scenario writing and foresight work that can produce more discontinuous and transformative images of the future. We understand polyphonic representations as coined by various independent, predominant as well as subaltern perspectives on the same issue at stake while being offered the same amount of space. Therefore, as we will indicate in our analysis, most of the reports referred to are rather monophonic and do not offer discuptive perspectives on the future of everyday life. As an avenue of methodological development, we propose a more nuanced and comprehensive perception of culture and social structures in scenario narrative writing. In addition, ethnographic methods could increase our understanding of how futures are collaboratively constructed and produced by different actors and their respective backgrounds and knowledge in scenario processes. UR - https://doi.org/10.1002/ffo2.70030 Y1 - 2026 UR - https://doi.org/10.1002/ffo2.70030 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66024 SN - 2573-5152 VL - 8 IS - 1 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Schwerd, Simon A1 - Schulte, Axel T1 - Triggering Cockpit Alerts Using an Eye-Tracking-Based Measure of Monitoring Performance JF - Aviation Psychology and Applied Human Factors N2 - This study explored the potential for enhancing pilot performance via an alerting system that adapts according to an eye-tracking-based measure of monitoring. The novel measure combines gaze analysis with system state assessment to estimate the pilot’s understanding of the current system state. On this basis, an alerting system was developed to direct pilot attention to unnoticed system state changes, thereby improving system state monitoring. In a flight simulator study involving 10 participants in a generic jet cockpit, we compared the adaptive alerting system with a no-assistance condition. Although alerting improved the participants’ performance in two tracking tasks, it adversely impacted performance in a third task. Nonetheless, alerting resulted in a decrease in both variance and mean detection time of critical changes. Participants’ subjective ratings were generally positive, yet they criticized the lack of transparency of the alerting mechanism. Alerts triggered based on eye-tracking and system state show potential for improving operator task performance. Nonetheless, for the system to reach its full performance potential, it is critical that the operator understand the principles underlying the alert triggers. False positives and alert design were identified as key areas for improvement to maintain user trust and task flow. UR - https://doi.org/10.1027/2192-0923/a000263 Y1 - 2024 UR - https://doi.org/10.1027/2192-0923/a000263 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-65916 SN - 2192-0931 VL - 14 IS - 1 SP - 22 EP - 37 PB - Hogrefe CY - Göttingen ER - TY - JOUR A1 - Reuthlinger, Eva A1 - Sinha, Tanja T1 - Impact Investing from an European Perspective – Do Good and Earn Money? JF - Copernican Journal of Finance & Accounting N2 - Impact Investing provides a promising way to fund sustainable development while balancing financial, social, and environmental goals. This study compares the performance of Impact, Conventional, and ESG Portfolios in the European stock market over more than 10 years, using Markowitz Optimization and Naive Diversification. The findings show that Impact Portfolios yield the highest returns, without sacrificing financial performance when integrating sustainability criteria that go beyond the classical ESG investing. UR - http://dx.doi. org/10.12775/CJFA.2025.005 Y1 - 2025 UR - http://dx.doi. org/10.12775/CJFA.2025.005 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-65823 SN - 2300-3065 VL - 14 IS - 1 SP - 87 EP - 109 PB - Nicolaus Copernicus University CY - Toruń ER - TY - JOUR A1 - Schmidt, Sebastian-Manuel A1 - Zeh, Stefan A1 - Anders, Karina A1 - Hirschmann, Katrin A1 - Stieg, Volker T1 - Wissenschaftliche Weiterbildung neu bewertet BT - Das Spannungsverhältnis von Bildungsauftrag und Nachfrageorientierung als strukturgebendes Element für bayerische Hochschulen JF - Zeitschrift Hochschule und Weiterbildung N2 - Die Interpretation der Hochschule als Institution des lebenslangen Lernens und das Öffnen für neue Zielgruppen stellt die staatlichen Bildungseinrichtungen vor erhebliche Herausforderungen, die Aktualisierungshandeln erforderlich machen. Hierdurch begeben sich die staatlichen Einrichtungen auf einen bereits etablierten Bildungsmarkt, der sich vom bekannten Handlungsfeld unterscheidet, da er unentwegt ein agiles Handeln und eine schnelle Adaptionsfähigkeit auf neue Bildungsanforderungen benötigt. Immer öfter ist aber die Einrichtung Universität in einer unentwegten Grundsatzdebatte gefangen, die sich immer durch zwei Extrema auszeichnet: arbeitet man marktzentriert oder beharrt man auf seiner vorhandenen Rolle als staatliche Einrichtung mit eindeutigem Bildungsauftrag und wie setzt man nun wissenschaftliche Weiterbildung gemäß dessen um? Konträr zur allgegenwärtigen Interpretation „Bildungsauftrag vs. / oder Cash Cow“ und einem notwendigen Klärungsbedarf der Situationslage ist genau dieses Spannungsverhältnis zwischen den beiden Dimensionen für die Umsetzung der wissenschaftlichen Weiterbildung an (bayerischen) Hochschulen notwendig. Das Spannungsfeld Bildungsauftrag und Nachfrageorientierung ist die beispiellose Triebkraft für Existenz, erfolgreiche Durchführung und Weiterentwicklung der wissenschaftlichen Weiterbildung und des (Weiter-)Bildungsmarkts. UR - https://doi.org/10.4119/zhwb-3136 Y1 - 2020 UR - https://doi.org/10.4119/zhwb-3136 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-65730 SN - 2567-2673 VL - 2020 IS - 1 SP - 44 EP - 54 PB - DGWF CY - Kassel ER - TY - JOUR A1 - Panzer, Hannes A1 - Landesberger, Martin A1 - Luzin, Vladimir A1 - Rauner, Dominik A1 - Wolf, Daniel A1 - Zaeh, Michael T1 - Evaluating the predictive capabilities of part-scale residual stress simulations of PBF-LB/M up to crack formation by a comparison to neutron diffraction JF - Engineering Fracture Mechanics N2 - Additive manufacturing technologies have proven to be an excellent alternative to conventional production methods, especially when geometrically complex parts and low production quantities are aimed at. Specifically, powder bed fusion of metals using a laser beam (PBF-LB/M) additionally allows for the manufacturing of mechanically highly stressable parts. However, the heat input through the laser beam into the material and an irregular cooling during the processing result in the formation of high residual stresses. These lead to form deviations outside the specified tolerances and may accumulate to an extent, at which stress-induced cracking occurs. This emphasizes the need for an accurate prediction of the residual stresses during the PBF-LB/M process with the goal of a first-time-right additive manufacturing. In this study, three specimens exhibiting high residual stress formations during PBF-LB/M were manufactured from the nickel-based superalloy Inconel 718. Afterwards, the stresses were measured by means of neutron diffraction. The results provided the validation data for a subsequent finite element simulation, representing the build-up process on a part-scale, in which the data evaluation was conducted in accordance with the measurements for a high comparability. A comparison between the simulation and the neutron diffraction results of all three specimens showed a very good agreement of the normal stresses in all three coordinate directions, both for tensile and compressive stresses. The obtained results highlight the validity of the applied simplified part-scale simulation. The latter can, therefore, be utilized to increase the process understanding of residual stress and crack formations. It can also be used to enable process parameter modifications or geometry adaptions, aiming at a first-time-right additive manufacturing. UR - https://doi.org/10.1016/j.engfracmech.2025.111713 Y1 - 2025 UR - https://doi.org/10.1016/j.engfracmech.2025.111713 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-65712 SN - 0013-7944 VL - 2026 IS - 331 PB - Elsevier CY - Kidlington ER - TY - JOUR A1 - Bienert, Jörg A1 - Regnet, Simon T1 - Stability Analysis for an Ultra-Lightweight Glider Airplane with Electric Driven Two-Blade Propeller JF - Vibration N2 - Safety is the most important requirement in flight operations. This also affects the application for an extreme lightweight glider in this paper. Essential properties are the target weight below 120 kgand the electric propulsion. The unsymmetric inertia from the two-blade propeller at the rear in combination with the light and flexible aluminium tube support makes it necessary to investigate the risk of mechanical instability. Starting from the equations of motion, the time-variant system matrices are set up. The simulation of Floquet multiplier and Hill’s hyper-eigenvalue problem provide the necessary information about the system stability. The conclusion is that the potential instability due to structural damping in the observed system can be avoided in the range of operation. The damping, experimentally determined by approximately 2%, is sufficient. UR - https://doi.org/10.3390/vibration9010003 Y1 - 2025 UR - https://doi.org/10.3390/vibration9010003 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-65640 SN - 2571-631X VL - 9 IS - 1 PB - MDPI CY - Basel ER - TY - JOUR A1 - Gregor, Markus A1 - Bauder, Maximilian A1 - Kirsten Vidal de Oliveira, Aline A1 - Mast, Pascal A1 - Rüther, Ricardo A1 - Schweiger, Hans-Georg T1 - Approaches for Lifetime Prediction of Vehicle Traction Battery Systems During a Technical Inspection: A Systematic Review JF - World Electric Vehicle Journal N2 - Creating trust in society for new technologies, such as a new types of powertrains, and making them marketable requires transparent, neutral, and independent technical verification. This is crucial for the acceptance and success of electrified vehicles in the used car markets. A key component of electric vehicles is the traction battery, whose current and future condition, particularly regarding aging, determines its residual value and safe operation. This review aims to identify and evaluate methods for predicting the lifetime of onboard traction batteries, focusing on their applicability in technical inspections. A systematic literature and patent review was conducted using targeted keywords, yielding 22 patents and 633 publications. From these, 150 distinct lifetime prediction methods were extracted and categorized into a four-level mind map. These methods are summarized, cited, and structured in detailed tables. The relationships between approaches are explained to clarify the current research landscape. Long Short-Term Memory, Convolutional Neural Networks, and Particle Filters were identified as the most frequently used techniques. However, no methods were found suitable for predicting the lifetime of traction batteries during technical vehicle inspections, which operate under short test durations, limited data access, and diverse real-world operating conditions. Most studies focused on cell-level testing and did not address complete battery systems in operational vehicles. This gap highlights the need for applied research and the development of practical methods to support battery assessment in real-world conditions. Advancing this field is essential to foster confidence in battery systems and enable a sustainable transition to electromobility. UR - https://doi.org/10.3390/wevj17010003 Y1 - 2025 UR - https://doi.org/10.3390/wevj17010003 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-65631 SN - 2032-6653 VL - 17 IS - 1 PB - MDPI CY - Basel ER - TY - JOUR A1 - Haryanto, Aditya A1 - Vaculin, Ondrej T1 - YoFlow Method for Scenario Based Automatic Accident Detection JF - IEEE Open Journal of Intelligent Transportation Systems N2 - Recent advances in sensor and computing technologies have enabled road side units (RSUs) to not only monitor traffic flow but also process data in real time to improve road safety. However, leveraging RSUs for proactive accident detection remains a challenging and underexplored task, partly due to the lack of diverse accident data. To address this, this study proposes two key contributions: (i) a scenario-based synthetic data generation framework, and (ii) YoFlow, a novel system for vehicle-tovehicle accident detection from a simulated RSU camera perspective. The proposed framework leverages the PEGASUS method for scenario generation strategy and BeamNG.tech for generating synthetic traffic videos. This approach led to the development of the SB-SIF dataset, which includes five representative intersection crash scenarios derived from German accident data. The SB-SIF dataset contains 914 crash videos, 123 near-miss events, and 924 normal traffic instances and is publicly available at: https://doi.org/10.5281/zenodo.15267252. The proposed YoFlow system identifies accidents by analyzing temporal variations in vehicle speed vectors, using YOLO for vehicle classification and CUDA-accelerated dense optical flow to capture abrupt motion changes. The extracted features are processed and classified using an XGBoost model, achieving 94% recall and 90% precision in accident detection. UR - https://doi.org/10.1109/OJITS.2025.3639557 KW - accident detection KW - traffic accident KW - surveillance camera KW - optical flow KW - traffic scenarios Y1 - 2025 UR - https://doi.org/10.1109/OJITS.2025.3639557 SN - 2687-7813 VL - 7 SP - 61 EP - 73 PB - IEEE CY - New York ER - TY - JOUR A1 - Mehta, Kedar A1 - Lwakatare, Bertha A1 - Zörner, Wilfried A1 - Ehrenwirth, Mathias T1 - Mini-grid performance in Sub-Saharan Africa: case studies from Tsumkwe and Gam, Namibia JF - Sustainable Energy Research N2 - This paper investigates the performance analysis and operational challenges of mini-grids in Sub-Saharan Africa, focusing on the Tsumkwe and Gam mini-grids, the only officially recognized mini-grids in Namibia. The study addresses a critical gap in understanding mini-grid efficiency, technical difficulties, and future potential. The key research questions focus on assessing mini-grid performance, identifying technical and operational challenges, quantifying the relationship between electricity demand and supply, and providing recommendations for enhancing rural electrification through mini-grids. These insights are crucial for evaluating the effectiveness of mini-grids in the African context and understanding their role in advancing rural electrification. By using a mixed-method approach, the research combines quantitative and qualitative data to offer a comprehensive analysis of these two mini-grid systems of Namibia. The data collected from 2017 to 2022 include metrics on energy supply, consumption, photovoltaic generation, community load, and meteorological conditions. Qualitative insights were gathered through field visits, surveys, and interviews with mini-grid operators, allowing for a thorough examination of community perspectives, operational issues, and technical performance. The findings reveal that the Tsumkwe mini-grid has seen a decline in efficiency due to maintenance problems and battery overheating, while the Gam mini-grid, initially oversized, now struggles with increased demand and new connections. This study provides the first detailed technical insights, identifies consumer archetypes, and evaluates the energy dynamics of mini-grids in Namibia. Recommendations include improved maintenance protocols, advanced battery management, and enhanced data monitoring. By analyzing Tsumkwe and Gam, this paper offers valuable lessons for mini-grid development in Sub-Saharan Africa, stressing the need for continuous evaluation and strategic improvements to achieve sustainable rural electrification. UR - https://doi.org/10.1186/s40807-025-00174-y Y1 - 2025 UR - https://doi.org/10.1186/s40807-025-00174-y UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-65316 SN - 2731-9237 VL - 12 IS - 1 PB - SpringerOpen CY - Singapore ER - TY - JOUR A1 - Mehta, Kedar A1 - Jain, Rushabh Bansilal A1 - Zörner, Wilfried T1 - Agrivoltaics Around the World: Potential, Technology, Crops and Policies to Address the Energy–Agriculture Nexus for Sustainable and Climate-Resilient Land Use JF - Energies N2 - The urgent pursuit of climate-resilient agriculture and clean energy systems, central to the Energy–Agriculture Nexus and the UN Sustainable Development Goals, has accelerated global interest in agrivoltaic (Agri-PV) technologies. This paper presents a global systematic review and meta-analysis of 160 peer-reviewed studies, structured through a five-stage thematic synthesis: (1) mapping global and regional Agri-PV deployment and potential, (2) analyzing system design and modeling methodologies, (3) evaluating crop suitability under partial shading, (4) reviewing enabling policies and regulatory frameworks, and (5) assessing techno-economic feasibility and investment barriers. Results reveal that Europe and Asia lead Agri-PV development, driven by incentive-based policies and national tenders, while limited regulatory clarity and high capital costs constrain wider adoption. Despite technological progress, no integrated model fully captures the coupled energy, water, and crop dynamics essential for holistic assessment. Strengthening economic valuation, policy coherence, and standardized modeling approaches will be critical to scale Agri-PV systems as a cornerstone of sustainable and climate-resilient land use. UR - https://doi.org/10.3390/en18246417 Y1 - 2025 UR - https://doi.org/10.3390/en18246417 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-65288 SN - 1996-1073 VL - 18 IS - 24 PB - MDPI CY - Basel ER - TY - JOUR A1 - Meintrup, David A1 - Singer, Peter T1 - A Friendly Guide to the Real Exponential Function JF - The American Mathematical Monthly N2 - We propose an elementary introduction to the real exponential function of Leonhard Euler that combines ideas of Felix Klein and Adolf Hurwitz and uses an approximation of the primitive of the hyperbola. In this way, we can avoid the difficulties of common approaches yet still obtain classical results. UR - https://doi.org/10.1080/00029890.2025.2554556 Y1 - 2025 UR - https://doi.org/10.1080/00029890.2025.2554556 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-65107 SN - 1930-0972 VL - 132 IS - 10 SP - 1043 EP - 1047 PB - Taylor & Francis CY - London ER - TY - JOUR A1 - Schwan, Hannes A1 - Mohan, Nihesh A1 - Schmid, Maximilian A1 - Saha, Rocky Kumar A1 - Klassen, Holger A1 - Müller, Klaus A1 - Elger, Gordon T1 - Sintering for High Power Optoelectronic Devices JF - Micromachines N2 - Residual-free eutectic Au80Sn20 soldering is still the dominant assembly technology for optoelectronic devices such as high-power lasers, LEDs, and photodiodes. Due to the high cost of gold, alternatives are desirable. This paper investigates the thermal performance of copper-based sintering for optoelectronic submodules on first and second level to obtain thermally efficient thin bondlines. Sintered interconnects obtained by a new particle-free copper ink, based on complexed copper salt, are compared with copper flake and silver nanoparticle sintered interconnects and benchmarked against AuSn solder interconnects. The copper ink is dispensed and predried at 130 °C to facilitate in situ generation of Cu nanoparticles by thermal decomposition of the metal salt before sintering. Submounts are then sintered at 275 °C for 15 min under nitrogen with 30 MPa pressure, forming uniform 2–5 µm copper layers achieving shear strengths above 31 MPa. Unpackaged LEDs are bonded on first level using the copper ink but applying only 10 MPa to avoid damaging the semiconductor dies. Thermal performance is evaluated via transient thermal analysis. Results show that copper ink interfaces approach the performance of thin AuSn joints and match silver interconnects at second level. However, at first level, AuSn and sintered interconnects of commercial silver and copper pastes remained superior due to the relative inhomogeneous thickness of the thin Cu copper layer after predrying, requiring higher bonding pressure to equalize surface inhomogeneities. UR - https://doi.org/10.3390/mi16101164 Y1 - 2025 UR - https://doi.org/10.3390/mi16101164 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64984 SN - 2072-666X VL - 16 IS - 10 PB - MDPI CY - Basel ER - TY - JOUR A1 - Zippelius, Andreas A1 - Mohd, Zubair Akhtar A1 - Schmid, Maximilian A1 - Elger, Gordon T1 - Comparison of different Input data for the prediction of LED solder joints using Artificial Neural Networks JF - IEEE Transactions on Device and Materials Reliability N2 - Scarcity of raw data is a major issue for applying data driven methods to reliability prediction, so making the best use of what is available is critical. This paper studies how different aspects of measurement data can be used best. Specifically, the reliability of the solder joint of LED packages is predicted based on Transient Thermal Analysis and Scanning Acoustic Microscopy data from a large measurement campaign. The impact of using full temporal information vs measurements at individual datapoints is investigated as well as the benefit of including the SAM data, and different ways of presenting the TTA information, either as a full curve or as expert-selected features. The impact of formatting categorical information of solder and LED package type as one-hot encoding or using embeddings is considered. Finally, the performance for Pass/Fail predictions of the best identified model with a model architecture developed on a similar dataset is compared. We identified the most relevant sources of information for predicting the behavior and the best format for the data, which helps guide the choice for future model architectures. UR - https://doi.org/10.1109/TDMR.2025.3633876 Y1 - 2025 UR - https://doi.org/10.1109/TDMR.2025.3633876 SN - 1558-2574 PB - IEEE CY - New York ER - TY - JOUR A1 - Rouegui, Meryem A1 - Bellabair, Hind A1 - El Asli, Abdelghani A1 - Amar, Amine A1 - Zörner, Wilfried A1 - Rachidi, Fouad A1 - Lghoul, Rachid T1 - Bio-Methanization of Sheep Manure and Beet Waste in the Meknes–Fès Region, Morocco: Effects of Pretreatment and Machine Learning Applications for Biochemical Methane Potential Prediction JF - Recycling N2 - Sheep manure and beet waste (the uneatable leaf part of the beet) are promising feedstock for biogas production due to their abundance and organic richness. However, their high lignocellulosic content reduces anaerobic digestibility and controls methane yield. This study investigates the effect of various pretreatment strategies, namely physical, thermal, and combined physical–thermal methods, on the Biochemical Methane Potential (BMP) of sheep manure and beet waste. Batch anaerobic digestion experiments were conducted under mesophilic conditions, with BMP values recorded for each treatment. The highest BMP for sheep manure, 125 Nml CH4/g VS, was achieved using combined physical and thermal pretreatment. This approach enhanced methane production by 16%, 25%, and 60% compared to physical pretreatment (PP) alone, thermal pretreatment (TP) alone, and no pretreatment, respectively, while the one BMP for beet waste is 80 Nml CH4/g VS and obtained with thermal pretreatment. To predict BMP outcomes, three machine learning approaches are applied, namely Linear Regression (LM), Random Forest Regression (RFR), and Gradient Boosting Machine (GBM), using digestion time (N days), total solids (Ts), volatile solids (Vs), pretreatment type, and biomass type. The variance analysis confirmed that the interaction between pretreatment and biomass type significantly improved model performance. While diagnostic checks revealed non-linear patterns limiting the linear model, ensemble methods achieved stronger results. The RFR model explained 79.5% of the variance with a Root Mean Square Error (RMSE) of about 15.7, whereas the GBM model achieved the lowest RMSE of 5.05. GBM captures complex non-linear interactions. In addition, variable importance analyses identified digestion time, solid content, and pretreatment as the most influential factors for methane yield, with the combined chemical and physical pretreatment producing the highest biogas outputs. These findings underscore the potential of advanced machine learning models, particularly GBM (Gradient Boosting Machine), for optimizing anaerobic digestion strategies and maximizing biogas recovery from sheep manure and beet waste. UR - https://doi.org/10.3390/recycling10060213 Y1 - 2025 UR - https://doi.org/10.3390/recycling10060213 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64862 SN - 2313-4321 VL - 10 IS - 6 PB - MDPI CY - Basel ER - TY - JOUR A1 - Pandey, Amit A1 - Kühn, Stephan A1 - Weis, Alexander A1 - Wunderle, Bernhard A1 - Elger, Gordon T1 - Evaluating optical performance degradation of automotive cameras under accelerated aging JF - Optics and Lasers in Engineering N2 - Automotive cameras are subject to environmental stress, which degrades performance by reducing image sharpness. To qualify for automotive use and to ensure that the cameras maintain sharpness according to the hard requirements of end-of-line testing, cameras have to undergo standardized accelerated aging tests. These tests are performed to demonstrate reliability and functional safety over lifetime. Few studies have been published that demonstrate how aging contributes to the degradation of optical performance. This study addresses this gap by combining accelerated thermal aging with sharpness tracking to investigate degradation over time. To quantify sharpness degradation, six series-production cameras were subjected to accelerated thermal aging between −40◦𝐶 and +85◦𝐶. Each camera underwent 2000 aging cycles, equivalent to 80% of their lifetime based on the Coffin-Manson model of the LV124 standard. Sharpness was measured by calculating the Spatial Frequency Response (SFR) from images captured of a double-cross reticle projected by a virtual object generator with three illumination wavelengths (625nm, 520nm, and 470nm). The change in sharpness was evaluated with SFR50 and SFR at 60 line pairs per millimeter (SFR@60). During the first 250 cycles, a wear-in effect was observed, where sharpness increased before leveling off, as seen previously. The results also indicated a slow decline in sharpness showing long-term stability. Analysis indicated that before aging, the best focal plane was located closer to the focal position of the red wavelength, which lies furthest from the objective. By the end of the aging process, the best focal plane had shifted toward the focal position of the blue wavelength, which is located closer to the objective. This suggests a forward movement of the image sensor due to aging. Even after 2000 cycles, all cameras maintained an SFR@60 above 0.5. A Random Forest regression model was trained to predict the age based on the SFR curves, achieving a mean absolute error of 126 cycles and a 𝑅2 score of 0.96. UR - https://doi.org/10.1016/j.optlaseng.2025.109396 Y1 - 2025 UR - https://doi.org/10.1016/j.optlaseng.2025.109396 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64821 SN - 1873-0302 VL - 2026 IS - 196 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Kaupp, Sabine A1 - Huber, Florian T1 - Does mental model similarity equal innovation team performance? JF - Innovation & Management Review N2 - Purpose This paper addresses challenges and opportunities of interdisciplinary teamwork in innovation management, focusing on how team mental models (TMMs) can foster more effective collaboration among team members from diverse backgrounds. The research examines the relationship between TMM similarity and team performance in interdisciplinary innovation teams. Design/methodology/approach An exploratory study was conducted with 55 participants across 15 teams. TMM similarity was measured by analyzing team interactions using a web-based interface that facilitated contrasted comparison ratings. These ratings were first processed into individual graphs via a shortest-node-finding pathfinder algorithm, then compared. Subject matter experts evaluated team performance. Findings The results reveal a significant positive correlation between TMM similarity and team performance in interdisciplinary innovation teams, suggesting that greater alignment in team members' mental models enhances overall innovation project performance. Research limitations/implications Although the academic programs sampled replicate the environment, challenges and various other aspects of innovation projects, they can only be considered proxies for innovation projects within real organizations. Further research within professional environments, using a larger sample, is recommended. Practical implications The findings highlight the value of assessing and fostering TMM similarity to improve teamwork and performance in interdisciplinary innovation projects. The interface and code used are publicly available to encourage their implementation in organizations. Originality/value This research provides novel insights into the application of TMMs within interdisciplinary innovation teams, extending the concept beyond its traditional use in unidisciplinary and structured task settings. UR - https://doi.org/10.1108/INMR-09-2023-0152 Y1 - 2025 UR - https://doi.org/10.1108/INMR-09-2023-0152 SN - 2515-8961 VL - 22 IS - 4 SP - 280 EP - 292 PB - Emerald CY - Bingley ER - TY - JOUR A1 - Peintner, Jakob A1 - Manger, Carina A1 - Berger, Melanie A1 - Riener, Andreas T1 - Balancing transparency and control: The impact of AI explanation detail on user perception in automated vehicles JF - Transportation Research Interdisciplinary Perspectives N2 - As automated vehicle technology advances, explainable AI has emerged as a critical tool to enable users to understand and predict the behavior of AI systems, particularly in safety-critical applications such as automated driving. However, increased transparency in AI explanations may inadvertently contribute to an “illusion of control”, a cognitive bias in which drivers overestimate their influence or understanding of the AI’s actions. We aim to better understand how the level of detail in AI explanations affects users of automated vehicles. In a virtual reality study, N = 44 participants experienced different explanation levels (low, medium, high) in an automated ride (SAE L4) compared to a baseline condition with no explanations. The results show a significant improvement in participants’ user experience, acceptance, and explanation satisfaction, with more detailed explanations. Our findings also indicate that as AI explanations become more detailed, users’ perceived level of control increases significantly, although this perception does not correlate with actual control capabilities. At the same time, it decreased their desire to take control, indicating users’ susceptibility to the ’illusion of control’ bias in the context of automated driving. Overall, this suggests that the design of explanation interfaces should strive for a balanced level of detail that promotes AI transparency without causing cognitive overload. At the same time, explainable AI can be utilized to decrease users’ desire to intervene in the AI’s actions. UR - https://doi.org/10.1016/j.trip.2025.101742 Y1 - 2025 UR - https://doi.org/10.1016/j.trip.2025.101742 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64740 SN - 2590-1982 VL - 2025 IS - 34 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Wan, Lei A1 - Zhao, Jianxin A1 - Wiedholz, Andreas A1 - Bied, Manuel A1 - Martinez de Lucena, Mateus A1 - Jagtap, Abhishek Dinkar A1 - Festag, Andreas A1 - Fröhlich, Antônio A1 - Keen, Hannan Ejaz A1 - Vinel, Alexey T1 - A Systematic Literature Review on Vehicular Collaborative Perception—A Computer Vision Perspective JF - IEEE Transactions on Intelligent Transportation Systems N2 - The effectiveness of autonomous vehicles relies on reliable perception capabilities. Despite significant advancements in artificial intelligence and sensor fusion technologies, current single-vehicle perception systems continue to encounter limitations, notably visual occlusions and limited long-range detection capabilities. Collaborative Perception (CP), enabled by Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, has emerged as a promising solution to mitigate these issues and enhance the reliability of autonomous systems. Beyond advancements in communication, the computer vision community is increasingly focusing on improving vehicular perception through collaborative approaches. However, a systematic literature review that thoroughly examines existing work and reduces subjective bias is still lacking. Such a systematic approach helps identify research gaps, recognize common trends across studies, and inform future research directions. In response, this study follows the PRISMA 2020 guidelines and includes 106 peer-reviewed articles. These publications are analyzed based on modalities, collaboration schemes, and key perception tasks. Through a comparative analysis, this review illustrates how different methods address practical issues such as pose errors, temporal latency, communication constraints, domain shifts, heterogeneity, and adversarial attacks. Furthermore, it critically examines evaluation methodologies, highlighting a misalignment between current metrics and CP’s fundamental objectives. By delving into all relevant topics in-depth, this review offers valuable insights into challenges, opportunities, and risks, serving as a reference for advancing research in vehicular collaborative perception. UR - https://doi.org/10.1109/TITS.2025.3631141 Y1 - 2025 UR - https://doi.org/10.1109/TITS.2025.3631141 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64708 SN - 1558-0016 VL - 27 IS - 1 SP - 81 EP - 118 PB - IEEE CY - New York ER - TY - JOUR A1 - Agostinelli, Simone A1 - Asatiani, Aleksandre A1 - Axmann, Bernhard A1 - Hannibal, Glenda A1 - Modlinski, Artur ED - del-Río-Ortega, Adela ED - Marrella, Andrea ED - Reijers, Hajo A. ED - Wilde, Adriana T1 - Trust Calibration for RPA JF - Dagstuhl Reports N2 - This working group focused on foundational issues of trust in RPA: How we can conceptualize trust between users and software robots and specify it in a way that, eventually, we can measure that trust empirically. UR - https://doi.org/10.4230/DagRep.14.7.52 Y1 - 2025 UR - https://doi.org/10.4230/DagRep.14.7.52 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64681 SN - 2192-5283 VL - 14 IS - 7 SP - 61 EP - 64 PB - Schloss Dagstuhl CY - Dagstuhl ER - TY - JOUR A1 - Gleißner, Christian A1 - Kotonski, Julia T1 - The classification of rigid torus quotients with canonical singularities in dimension three JF - Rendiconti Lincei: Matematica e Applicazioni N2 - We provide a fine classification of rigid 3-dimensional torus quotients with isolated canonical singularities, up to biholomorphism and diffeomorphism. This complements the classification of Calabi–Yau 3-folds of type III0​, which are those quotients with Gorenstein singularities. UR - https://doi.org/10.4171/RLM/1070 Y1 - 2025 UR - https://doi.org/10.4171/RLM/1070 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64657 SN - 1720-0768 VL - 36 IS - 2 SP - 315 EP - 352 PB - EMS Press CY - Berlin ER -