@article{JildehWagnerSchoening2021,
  author    = {Jildeh, Zaid B. and Wagner, Patrick H. and Sch{\"o}ning, Michael Josef},
  title     = {Sterilization of Objects, Products, and Packaging Surfaces and Their Characterization in Different Fields of Industry: The Status in 2020},
  series = {physica status solidi (a) applications and materials science},
  volume    = {218},
  journal   = {physica status solidi (a) applications and materials science},
  number    = {13},
  publisher = {Wiley-VCH},
  address   = {Weinheim},
  issn      = {1862-6319},
  doi       = {10.1002/pssa.202000732},
  pages     = {27 Seiten},
  year      = {2021},
  abstract  = {The treatment method to deactivate viable microorganisms from objects or products is termed sterilization. There are multiple forms of sterilization, each intended to be applied for a specific target, which depends on—but not limited to—the thermal, physical, and chemical stability of that target. Herein, an overview on the currently used sterilization processes in the global market is provided. Different sterilization techniques are grouped under a category that describes the method of treatment: radiation (gamma, electron beam, X-ray, and ultraviolet), thermal (dry and moist heat), and chemical (ethylene oxide, ozone, chlorine dioxide, and hydrogen peroxide). For each sterilization process, the typical process parameters as defined by regulations and the mode of antimicrobial activity are summarized. Finally, the recommended microorganisms that are used as biological indicators to validate sterilization processes in accordance with the rules that are established by various regulatory agencies are summarized.},
  language  = {en}
}
@article{YoshinobuSchoening2021,
  author    = {Yoshinobu, Tatsuo and Sch{\"o}ning, Michael Josef},
  title     = {Light-addressable potentiometric sensors (LAPS) for cell monitoring and biosensing},
  series = {Current Opinion in Electrochemistry},
  journal   = {Current Opinion in Electrochemistry},
  number    = {In Press, Journal Pre-proof},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2451-9103},
  doi       = {10.1016/j.coelec.2021.100727},
  year      = {2021},
  language  = {en}
}
@article{HennesLaumann2021,
  author    = {Hennes, Philipp and Laumann, J{\"o}rg},
  title     = {Ansatz der Drehbehinderung aus Koppelpfetten mit d{\"u}nnwandigen kaltgeformten Z-Profilen},
  series = {Stahlbau},
  volume    = {90},
  journal   = {Stahlbau},
  number    = {3},
  publisher = {Ernst \& Sohn},
  address   = {Berlin},
  issn      = {1437-1049},
  doi       = {10.1002/stab.202000104},
  pages     = {158 -- 168},
  year      = {2021},
  language  = {de}
}
@article{BergsMonakhovaDiehletal.2021,
  author    = {Bergs, Michel and Monakhova, Yulia and Diehl, Bernd W. and Konow, Christopher and V{\"o}lkering, Georg and Pude, Ralf and Schulze, Margit},
  title     = {Lignins isolated via catalyst-free organosolv pulping from Miscanthus x giganteus, M. sinensis, M. robustus and M. nagara: a comparative study},
  series = {Molecules},
  volume    = {26},
  journal   = {Molecules},
  number    = {4},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1420-3049},
  doi       = {10.3390/molecules26040842},
  year      = {2021},
  abstract  = {As a low-input crop, Miscanthus offers numerous advantages that, in addition to agricultural applications, permits its exploitation for energy, fuel, and material production. Depending on the Miscanthus genotype, season, and harvest time as well as plant component (leaf versus stem), correlations between structure and properties of the corresponding isolated lignins differ. Here, a comparative study is presented between lignins isolated from M. x giganteus, M. sinensis, M. robustus and M. nagara using a catalyst-free organosolv pulping process. The lignins from different plant constituents are also compared regarding their similarities and differences regarding monolignol ratio and important linkages. Results showed that the plant genotype has the weakest influence on monolignol content and interunit linkages. In contrast, structural differences are more significant among lignins of different harvest time and/or season. Analyses were performed using fast and simple methods such as nuclear magnetic resonance (NMR) spectroscopy. Data was assigned to four different linkages (A: β-O-4 linkage, B: phenylcoumaran, C: resinol, D: β-unsaturated ester). In conclusion, A content is particularly high in leaf-derived lignins at just under 70\% and significantly lower in stem and mixture lignins at around 60\% and almost 65\%. The second most common linkage pattern is D in all isolated lignins, the proportion of which is also strongly dependent on the crop portion. Both stem and mixture lignins, have a relatively high share of approximately 20\% or more (maximum is M. sinensis Sin2 with over 30\%). In the leaf-derived lignins, the proportions are significantly lower on average. Stem samples should be chosen if the highest possible lignin content is desired, specifically from the M. x giganteus genotype, which revealed lignin contents up to 27\%. Due to the better frost resistance and higher stem stability, M. nagara offers some advantages compared to M. x giganteus. Miscanthus crops are shown to be very attractive lignocellulose feedstock (LCF) for second generation biorefineries and lignin generation in Europe.},
  language  = {en}
}
@article{StollenwerkReinkensmeierGeorgetal.2021,
  author    = {Stollenwerk, Dominik and Reinkensmeier, Sebastian and Georg, J{\"o}rg Heiner and Jungbluth, Christian},
  title     = {„Smartes" Laden an {\"o}ffentlich zug{\"a}nglichen Lades{\"a}ulen - Teil 2: USER-Verhalten und -Erwartungen},
  series = {Energiewirtschaftliche Tagesfragen : et ; Zeitschrift f{\"u}r Energiewirtschaft, Recht, Technik und Umwelt},
  volume    = {71},
  journal   = {Energiewirtschaftliche Tagesfragen : et ; Zeitschrift f{\"u}r Energiewirtschaft, Recht, Technik und Umwelt},
  number    = {3},
  publisher = {ETV Energieverlag},
  address   = {Essen},
  isbn      = {0720-6240},
  issn      = {0013-743X},
  pages     = {38 -- 42},
  year      = {2021},
  language  = {de}
}
@article{GeorgStollenwerkReinkensmeieretal.2021,
  author    = {Georg, J{\"o}rg Heiner and Stollenwerk, Dominik and Reinkensmeier, Sebastian and Jungbluth, Christian},
  title     = {„Smartes" Laden an {\"o}ffentlich zug{\"a}nglichen Lades{\"a}ulen - Teil 1: Quo vadis, Marktdesign?},
  series = {Energiewirtschaftliche Tagesfragen : et ; Zeitschrift f{\"u}r Energiewirtschaft, Recht, Technik und Umwelt},
  volume    = {71},
  journal   = {Energiewirtschaftliche Tagesfragen : et ; Zeitschrift f{\"u}r Energiewirtschaft, Recht, Technik und Umwelt},
  number    = {1/2},
  publisher = {ETV Energieverlag},
  address   = {Essen},
  isbn      = {0720-6240},
  issn      = {0013-743X},
  pages     = {64 -- 69},
  year      = {2021},
  language  = {de}
}
@article{Fissabre2021,
  author    = {Fissabre, Anke},
  title     = {Ein pazifistisches Kriegerdenkmal der Moderne. Das Totenkreuz von Rudolf Schwarz},
  series = {In situ: Zeitschrift f{\"u}r Architekturgeschichte},
  journal   = {In situ: Zeitschrift f{\"u}r Architekturgeschichte},
  number    = {1},
  publisher = {Wernersche Verlagsgesellschaft},
  address   = {Worms},
  issn      = {1866-959X},
  pages     = {127 -- 138},
  year      = {2021},
  language  = {de}
}
@inproceedings{SchulteEggert2021,
  author    = {Schulte, Maximilian and Eggert, Mathias},
  title     = {Predicting hourly bitcoin prices based on long short-term memory neural networks},
  series = {Proceedings of the International Conference on Wirtschaftsinformatik (WI) 2021},
  booktitle = {Proceedings of the International Conference on Wirtschaftsinformatik (WI) 2021},
  pages     = {16 Seiten},
  year      = {2021},
  abstract  = {Bitcoin is a cryptocurrency and is considered a high-risk asset class whose price changes are difficult to predict. Current research focusses on daily price movements with a limited number of predictors. The paper at hand aims at identifying measurable indicators for Bitcoin price movement s and the development of a suitable forecasting model for hourly changes. The paper provides three research contributions. First, a set of significant indicators for predicting the Bitcoin price is identified. Second, the results of a trained Long Short-term Memory (LSTM) neural network that predicts price changes on an hourly basis is presented and compared with other algorithms. Third, the results foster discussions of the applicability of neural nets for stock price predictions. In total, 47 input features for a period of over 10 months could be retrieved to train a neural net that predicts the Bitcoin price movements with an error rate of 3.52 \%.},
  language  = {en}
}
@inproceedings{FunkeBeckmannKeinzetal.2021,
  author    = {Funke, Harald and Beckmann, Nils and Keinz, Jan and Horikawa, Atsushi},
  title     = {30 years of dry low NOx micromix combustor research for hydrogen-rich fuels: an overview of past and present activities},
  series = {Proceedings of the ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition, September 21-25, 2020, Virtual, Online. Vol.: 4B: Combustion, Fuels, and Emissions},
  booktitle = {Proceedings of the ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition, September 21-25, 2020, Virtual, Online. Vol.: 4B: Combustion, Fuels, and Emissions},
  publisher = {American Society of Mechanical Engineers (ASME)},
  isbn      = {978-0-7918-8413-3},
  doi       = {10.1115/GT2020-16328},
  pages     = {14 Seiten},
  year      = {2021},
  language  = {en}
}
@inproceedings{HeuermannHarzheimMuehmel2021,
  author    = {Heuermann, Holger and Harzheim, Thomas and M{\"u}hmel, Marc},
  title     = {A maritime harmonic radar search and rescue system using passive and active tags},
  series = {2020 17th European Radar Conference (EuRAD)},
  booktitle = {2020 17th European Radar Conference (EuRAD)},
  publisher = {IEEE},
  isbn      = {978-2-87487-061-3},
  doi       = {10.1109/EuRAD48048.2021.00030},
  pages     = {73 -- 76},
  year      = {2021},
  language  = {en}
}