Witte, F., & Tuschy, I. (2020). TESPy: Thermal Engineering Systems in Python. Journal of Open Source Software, 5, 2178. http://doi.org/10.21105/joss.02178 (Original work published 2026)
Lemmer, F., Yu, W., Schlipf, D., & Cheng, P. W. (2020). Robust gain scheduling baseline controller for floating offshore wind turbines. Wind Energy, 23, 17–30. http://doi.org/10.1002/we.2408 (Original work published 2026)
Chen, S., Witte, F., Kolditz, O., & Shao, H. (2020). Shifted thermal extraction rates in large Borehole Heat Exchanger array - A numerical experiment. Applied Thermal Engineering, 167, 114750. http://doi.org/10.1016/j.applthermaleng.2019.114750 (Original work published 2026)
Prina, M. G., Casalicchio, V., Kaldemeyer, C., Manzolini, G., Moser, D., Wanitschke, A., & Sparber, W. (2020). Multi-objective investment optimization for energy system models in high temporal and spatial resolution. Applied Energy, 264, 114728. http://doi.org/10.1016/j.apenergy.2020.114728 (Original work published 2026)
Wetzel, S., Bertel, S., Montag, M., & Zander, S. (2020). Spatial task solving on tablets: analysing mental and physical rotation processes of 12–13-year olds. Educational Technology Research and Development, 68(1), 363–381. http://doi.org/10.1007/s11423-019-09699-8
Abstract
Spatial skill assessment and training are promising fields of application for tablets, as touch-based interaction can prime and support mental transformations of spatial knowledge. We report on a study with 49 secondary school students who used our iPad app to solve mental and physical rotation tasks. During physical rotation, students were able to rotate 3D stimuli using touch interaction. Results show specific similarities (e.g., regarding angular disparity effects) as well as differences between mental and physical conditions, such as for task success, mental effort, efficiency; all to the advantage of the physical condition. 12–13-year olds can benefit from these advantages without previous task training, whereas previous research showed this to be different for younger students. In a second step, our analysis compares low and high achievers regarding physical rotation behaviour and motivational variables, including expected success. The results lay grounds for constructing individualized, tablet-based training apps for spatial skills.
Slavich, P., Heinemeyer, S., Bagnaschi, E., Bahl, H., Goodsell, M., Haber, H. E., … Staub, F. (2020). Higgs-mass predictions in the MSSM and beyond. The European Physical Journal C, 81, 71. http://doi.org/10.1140/epjc/s10052-021-09198-2 (Original work published Mai 2022)
Abstract
Predictions for the Higgs masses are a distinctive feature of supersymmetric extensions of the Standard Model, where they play a crucial role in constraining the parameter space. The discovery of a Higgs boson and the remarkably precise measurement of its mass at the LHC have spurred new efforts aimed at improving the accuracy of the theoretical predictions for the Higgs masses in supersymmetric models. The "Precision SUSY Higgs Mass Calculation Initiative" (KUTS) was launched in 2014 to provide a forum for discussions between the different groups involved in these efforts. This report aims to present a comprehensive overview of the current status of Higgs-mass calculations in supersymmetric models, to document the many advances that were achieved in recent years and were discussed during the KUTS meetings, and to outline the prospects for future improvements in these calculations.
Süncksen, M., Bott, O., Dresing, K., & Teistler, M. (2020). Simulation of scattered radiation during intraoperative imaging in a virtual reality learning environment. International Journal of Computer Assisted Radiology and Surgery , 15, 691–701. http://doi.org/10.1007/s11548-020-02126-x (Original work published April 2020)
Abstract
Purpose
Scattered radiation, which occurs when using a C-arm for intraoperative radiography, can be better understood through interactive visualization. We developed a virtual reality (VR) approach for the simulation of scattered radiation (SSR) as part of a C-arm training system. In VR, it is important to avoid cyber sickness, which is often caused by increased latency between head motion and image presentation inside the head-mounted display. As the latency requirement interferes with the computational complexity of the SSR, the goal has been to maintain a low latency during the simultaneous computation of the SSR on moderate-cost consumer hardware.
Methods
For use with a VR C-arm simulator, a CUDA-based Monte Carlo SSR has been improved to utilize GPU resources unused by the VR image generation. Resulting SSR data are visualized through volume rendering with pseudo-colored scattered radiation superimposed onto the virtual operating room. The resulting interactive VR–SSR environment was evaluated with operating room personnel (ORP) and surgeons using questionnaires.
Results
Depending on the imaged body part and computation parameters, the required computation time to complete one SSR run was between 1.6 and 4.2 s (ankle) and between 7.9 and 14.9 s (thigh), and VR frame times from 11 to 12 ms (95th percentile). The system was evaluated with ORP (n = 46) and surgeons (n = 25). The median of professional C-arm experience was 5 (range 1 to 34) years (ORP) and 12.5 (range 2 to 48) years (surgeons), respectively. The demonstrated prototype was found useful by 78% of ORP and 88% of the surgeons. On a Likert scale, more than 90% of both groups “agreed fully” that the presented way of visualizing SSR in VR helps understanding intraoperative exposure to scattered radiation.
Conclusions
Leveraging off-the-shelf computer equipment, the feasibility of SSR and VR for interactive training has been demonstrated. Evaluation participants showed a high interest for the presented approach. Feedback suggests that the visualization experienced by the users helps understanding radiation hazards in the operating room.
Thiesen, H., & Jauch, C. (2020). Determining the Load Inertia Contribution from Different Power Consumer Groups. Energies, 13(7). http://doi.org/10.3390/en13071588 (Original work published April 2020)
Abstract
Power system inertia is a vital part of power system stability. The inertia response within the first seconds after a power imbalance reduces the velocity of which the grid frequency changes. At present, large shares of power system inertia are provided by synchronously rotating masses of conventional power plants. A minor part of power system inertia is supplied by power consumers. The energy system transformation results in an overall decreasing amount of power system inertia. Hence, inertia has to be provided synthetically in future power systems. In depth knowledge about the amount of inertia provided by power consumers is very important for a future application of units supplying synthetic inertia. It strongly promotes the technical efficiency and cost effective application. A blackout in the city of Flensburg allows for a detailed research on the inertia contribution from power consumers. Therefore, power consumer categories are introduced and the inertia contribution is calculated for each category. Overall, the inertia constant for different power consumers is in the range of 0.09 to 4.24 s if inertia constant calculations are based on the power demand. If inertia constant calculations are based on the apparent generator power, the load inertia constant is in the range of 0.01 to 0.19 s.
Tutdere, S., & Uzunkol, O. (2020). Construction of arithmetic secret sharing schemes by using torsion limits. Hacettepe Journal of Mathematics and Statistics, 49, 638–647. http://doi.org/10.15672/hujms.460348
The motivations for clothing companies to implement dedicated certification schemes as sustainability practices has received limited attention in sustainable supply chain management (SSCM) research so far. Therefore, it is important to understand how different rationales for the implementation of certification schemes have developed in the past because they considerably influence the overall success of sustainability management efforts. This paper picks up on this gap and presents the results of an in-depth comparative case study drawing on interviews conducted with five managers of three companies from the clothing sector in 2018 and abductive content analysis. By applying such a qualitative approach, this study explores motivations and benefits as well as elaborates on the implementation of certification schemes in apparel supply chains. It outlines that certification in the clothing sector is driven by strategic factors, marketing considerations, and information considering sustainability aspects. The study also shows that certification schemes may strengthen the marketing and competitive position of clothing companies as well as sustainability awareness in textile and apparel supply chains in general. Finally, a framework conceptualized from the findings of the interviews presents relevant SSCM practices in the clothing industry. Therefore, the present study contributes to theory building in SSCM by confirming and extending previous research on the implementation of certification schemes for sustainability, as well as to practice by examining reasons to apply certification schemes and potential performance outcomes.