@article{FaganBitzBjoerkmanBurtscheretal.2021,
  author    = {Fagan, Andrew J. and Bitz, Andreas and Bj{\"o}rkman-Burtscher, Isabella M. and Collins, Christopher M. and Kimbrell, Vera and Raaijmakers, Alexander J. E.},
  title     = {7T MR Safety},
  series = {Journal of Magnetic Resonance Imaging (JMRI)},
  volume    = {53},
  journal   = {Journal of Magnetic Resonance Imaging (JMRI)},
  number    = {2},
  publisher = {Wiley},
  address   = {Weinheim},
  issn      = {1522-2586},
  doi       = {10.1002/jmri.27319},
  pages     = {333 -- 346},
  year      = {2021},
  language  = {en}
}
@article{MeyerGranrathFeyerletal.2021,
  author    = {Meyer, Max-Arno and Granrath, Christian and Feyerl, G{\"u}nter and Richenhagen, Johannes and Kaths, Jakob and Andert, Jakob},
  title     = {Closed-loop platoon simulation with cooperative intelligent transportation systems based on vehicle-to-X communication},
  series = {Simulation Modelling Practice and Theory},
  volume    = {106},
  journal   = {Simulation Modelling Practice and Theory},
  number    = {Art. 102173},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1569-190X},
  doi       = {10.1016/j.simpat.2020.102173},
  year      = {2021},
  language  = {en}
}
@article{SerrorHackHenzeetal.2021,
  author    = {Serror, Martin and Hack, Sacha and Henze, Martin and Schuba, Marko and Wehrle, Klaus},
  title     = {Challenges and Opportunities in Securing the Industrial Internet of Things},
  series = {IEEE Transactions on Industrial Informatics},
  volume    = {17},
  journal   = {IEEE Transactions on Industrial Informatics},
  number    = {5},
  publisher = {IEEE},
  address   = {New York},
  issn      = {1941-0050},
  doi       = {10.1109/TII.2020.3023507},
  pages     = {2985 -- 2996},
  year      = {2021},
  language  = {en}
}
@article{BerneckerBoyerGathmann2021,
  author    = {Bernecker, Andreas and Boyer, Pierre C. and Gathmann, Christina},
  title     = {The Role of Electoral Incentives for Policy Innovation: Evidence from the US Welfare Reform},
  series = {American Economic Journal: Economic Policy},
  volume    = {13},
  journal   = {American Economic Journal: Economic Policy},
  number    = {2},
  publisher = {American Economic Association},
  address   = {Nashville, Tenn.},
  issn      = {1945-774X},
  doi       = {10.1257/pol.20190690},
  pages     = {26 -- 57},
  year      = {2021},
  language  = {en}
}
@article{EngelmannShalabyShashaetal.2021,
  author    = {Engelmann, Ulrich M. and Shalaby, Ahmed and Shasha, Carolyn and Krishnan, Kannan M. and Krause, Hans-Joachim},
  title     = {Comparative modeling of frequency mixing measurements of magnetic nanoparticles using micromagnetic simulations and Langevin theory},
  series = {Nanomaterials},
  volume    = {11},
  journal   = {Nanomaterials},
  number    = {5},
  publisher = {MDPI},
  address   = {Basel},
  isbn      = {2079-4991},
  doi       = {10.3390/nano11051257},
  pages     = {1 -- 16},
  year      = {2021},
  abstract  = {Dual frequency magnetic excitation of magnetic nanoparticles (MNP) enables enhanced biosensing applications. This was studied from an experimental and theoretical perspective: nonlinear sum-frequency components of MNP exposed to dual-frequency magnetic excitation were measured as a function of static magnetic offset field. The Langevin model in thermodynamic equilibrium was fitted to the experimental data to derive parameters of the lognormal core size distribution. These parameters were subsequently used as inputs for micromagnetic Monte-Carlo (MC)-simulations. From the hysteresis loops obtained from MC-simulations, sum-frequency components were numerically demodulated and compared with both experiment and Langevin model predictions. From the latter, we derived that approximately 90\% of the frequency mixing magnetic response signal is generated by the largest 10\% of MNP. We therefore suggest that small particles do not contribute to the frequency mixing signal, which is supported by MC-simulation results. Both theoretical approaches describe the experimental signal shapes well, but with notable differences between experiment and micromagnetic simulations. These deviations could result from Brownian relaxations which are, albeit experimentally inhibited, included in MC-simulation, or (yet unconsidered) cluster-effects of MNP, or inaccurately derived input for MC-simulations, because the largest particles dominate the experimental signal but concurrently do not fulfill the precondition of thermodynamic equilibrium required by Langevin theory.},
  language  = {en}
}
@article{GriegerSchwabedalWendeletal.2021,
  author    = {Grieger, Niklas and Schwabedal, Justus T. C. and Wendel, Stefanie and Ritze, Yvonne and Bialonski, Stephan},
  title     = {Automated scoring of pre-REM sleep in mice with deep learning},
  series = {Scientific Reports},
  volume    = {11},
  journal   = {Scientific Reports},
  number    = {Art. 12245},
  publisher = {Springer Nature},
  address   = {London},
  issn      = {2045-2322},
  doi       = {10.1038/s41598-021-91286-0},
  year      = {2021},
  abstract  = {Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accuracies for the classical sleep stages of Wake, REM, and Non-REM. Meanwhile, it has been recognized that the statistics of transitional stages such as pre-REM, found between Non-REM and REM, may hold additional insight into the physiology of sleep and are now under vivid investigation. We propose a classification system based on a simple neural network architecture that scores the classical stages as well as pre-REM sleep in mice. When restricted to the classical stages, the optimized network showed state-of-the-art classification performance with an out-of-sample F1 score of 0.95 in male C57BL/6J mice. When unrestricted, the network showed lower F1 scores on pre-REM (0.5) compared to the classical stages. The result is comparable to previous attempts to score transitional stages in other species such as transition sleep in rats or N1 sleep in humans. Nevertheless, we observed that the sequence of predictions including pre-REM typically transitioned from Non-REM to REM reflecting sleep dynamics observed by human scorers. Our findings provide further evidence for the difficulty of scoring transitional sleep stages, likely because such stages of sleep are under-represented in typical data sets or show large inter-scorer variability. We further provide our source code and an online platform to run predictions with our trained network.},
  language  = {en}
}
@article{KaschSchmidtJahnetal.2021,
  author    = {Kasch, Susanne and Schmidt, Thomas and Jahn, Simon and Eichler, Fabian and Thurn, Laura and Bremen, Sebastian},
  title     = {L{\"o}sungsans{\"a}tze und Verfahrenskonzepte zum Laserstrahlschmelzen von Glas},
  series = {Schweissen und Schneiden},
  volume    = {73},
  journal   = {Schweissen und Schneiden},
  number    = {Heft 1-2},
  publisher = {DVS Verlag},
  address   = {D{\"u}sseldorf},
  isbn      = {0036-7184},
  pages     = {32 -- 39},
  year      = {2021},
  language  = {de}
}
@article{BlankeHagenkampDoeringetal.2021,
  author    = {Blanke, Tobias and Hagenkamp, Markus and D{\"o}ring, Bernd and G{\"o}ttsche, Joachim and Reger, Vitali and Kuhnhenne, Markus},
  title     = {Net-exergetic, hydraulic and thermal optimization of coaxial heat exchangers using fixed flow conditions instead of fixed flow rates},
  series = {Geothermal Energy},
  volume    = {9},
  journal   = {Geothermal Energy},
  number    = {Article number: 19},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {2195-9706},
  doi       = {10.1186/s40517-021-00201-3},
  pages     = {23 Seiten},
  year      = {2021},
  abstract  = {Previous studies optimized the dimensions of coaxial heat exchangers using constant mass fow rates as a boundary condition. They show a thermal optimal circular ring width of nearly zero. Hydraulically optimal is an inner to outer pipe radius ratio of 0.65 for turbulent and 0.68 for laminar fow types. In contrast, in this study, fow conditions in the circular ring are kept constant (a set of fxed Reynolds numbers) during optimization. This approach ensures fxed fow conditions and prevents inappropriately high or low mass fow rates. The optimization is carried out for three objectives: Maximum energy gain, minimum hydraulic efort and eventually optimum net-exergy balance. The optimization changes the inner pipe radius and mass fow rate but not the Reynolds number of the circular ring. The thermal calculations base on Hellstr{\"o}m's borehole resistance and the hydraulic optimization on individually calculated linear loss of head coefcients. Increasing the inner pipe radius results in decreased hydraulic losses in the inner pipe but increased losses in the circular ring. The net-exergy diference is a key performance indicator and combines thermal and hydraulic calculations. It is the difference between thermal exergy fux and hydraulic efort. The Reynolds number in the circular ring is instead of the mass fow rate constant during all optimizations. The result from a thermal perspective is an optimal width of the circular ring of nearly zero. The hydraulically optimal inner pipe radius is 54\% of the outer pipe radius for laminar fow and 60\% for turbulent fow scenarios. Net-exergetic optimization shows a predominant infuence of hydraulic losses, especially for small temperature gains. The exact result depends on the earth's thermal properties and the fow type. Conclusively, coaxial geothermal probes' design should focus on the hydraulic optimum and take the thermal optimum as a secondary criterion due to the dominating hydraulics.},
  language  = {en}
}
@article{TranEbeling2021,
  author    = {Tran, Duc Hung and Ebeling, Felix},
  title     = {Die risikoad{\"a}quate Bestimmung von Eigenkapitalkosten bei konzerninternen Routinefunktionen},
  series = {Der Betrieb},
  volume    = {74},
  journal   = {Der Betrieb},
  number    = {29},
  issn      = {0005-9935},
  pages     = {1553 -- 1560},
  year      = {2021},
  abstract  = {Eigenkapitalkosten sind eine wesentliche Determinante bei der Wertbestimmung von Unternehmen und Unternehmensteilen. Die Eigenkapitalkosten werden regelm{\"a}ßig mittels des CAPM bestimmt. F{\"u}r sog. konzerninterne Routinefunktionen mit geringem Risiko stellt diese Bestimmung mittels CAPM ein Problem dar, da b{\"o}rsennotierte Peergroups f{\"u}r eine zuverl{\"a}ssige Bestimmung des Beta-Faktors meist nicht identifizierbar sind. Damit ergeben sich bei Bewertungen von Routineunternehmen Unsicherheiten und Konfliktpotenzial in steuerlichen Betriebspr{\"u}fungen. Dieser Beitrag gibt einen {\"U}berblick der in der Praxis genutzten Ans{\"a}tze und stellt eine theoretische Fundierung zur Bestimmung der Eigenkapitalkosten von konzerninternen Routinefunktionen vor. Dabei wird verdeutlicht, dass Eigenkapitalkosten von konzerninternen Routinefunktionen nicht denen des Gesamtkonzerns entsprechen und Praktikerans{\"a}tze eine grunds{\"a}tzliche Berechtigung besitzen.},
  language  = {de}
}
@article{BallVoegeleGrajewskietal.2021,
  author    = {Ball, Christopher Stephen and V{\"o}gele, Stefan and Grajewski, Matthias and Kuckshinrichs, Wilhelm},
  title     = {E-mobility from a multi-actor point of view: Uncertainties and their impacts},
  series = {Technological Forecasting and Social Change},
  volume    = {170},
  journal   = {Technological Forecasting and Social Change},
  number    = {Art. 120925},
  publisher = {Elsevier},
  address   = {Amsterdam},
  isbn      = {0040-1625},
  doi       = {10.1016/j.techfore.2021.120925},
  year      = {2021},
  language  = {en}
}