@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}
}
@misc{Bartsch2021,
  type      = {Master Thesis},
  author    = {Bartsch, Janosch},
  title     = {Kleidung {\"u}ber Kleidung: eine Bekleidungsserie, die {\"u}ber die Bekleidungsindustrie informiert},
  publisher = {FH Aachen},
  address   = {Aachen},
  school      = {Fachhochschule Aachen},
  pages     = {182 Seiten},
  year      = {2021},
  abstract  = {Kleidung ist ein Kommunikationsmedium. Im Projekt wird Bekleidung als Informationstr{\"a}ger genutzt, um {\"u}ber die verschiedenen Abschnitte im Zyklus eines Kleidungsst{\"u}cks sowie die Missst{\"a}nde in der Bekleidungsindustrie zu informieren. Entstanden sind 6 Kleidungsst{\"u}cke, jeweils eins pro Abschnitt im Zyklus, vom Baumwollanbau {\"u}ber Spinnereien, Produktionsfabriken, dem Einzelhandel und Gebrauch bis zur Entsorgung. Die einfach gehaltenen Kleidungsst{\"u}cke besitzen Aufdrucke. {\"U}ber eine Augmented-Reality-App k{\"o}nnen die Kleidungsst{\"u}cke gescannt werden. In Kombination mit der digitalen Ebene werden die Aufdrucke zu Informationsgrafiken. So wird unter anderem {\"u}ber die grausamen Arbeitsumst{\"a}nde in der Produktion informiert oder dar{\"u}ber, dass wir unsere Kleidungsst{\"u}cke durchschnittlich nur 4x anziehen. Immer geht es darum, den Betrachter dazu anzuregen, seine Konsumentscheidungen zu {\"u}berdenken.},
  language  = {de}
}
@book{Laack2021,
  author    = {Laack, Walter van},
  title     = {Gr{\"o}ßer als das ganze Universum},
  publisher = {van Laack GmbH},
  address   = {Aachen},
  isbn      = {978-3-936624-38-0},
  pages     = {120 Seiten},
  year      = {2021},
  language  = {de}
}
@incollection{HoffschmidtAlexopoulosRauetal.2021,
  author    = {Hoffschmidt, Bernhard and Alexopoulos, Spiros and Rau, Christoph and Sattler, Johannes Christoph and Anthrakidis, Anette and Teixeira Boura, Cristiano Jos{\´e} and O'Connor, B. and Chico Caminos, Ricardo Alexander and Rend{\´o}n, C. and Hilger, P.},
  title     = {Concentrating Solar Power},
  series = {Earth systems and environmental sciences},
  booktitle = {Earth systems and environmental sciences},
  publisher = {Elsevier},
  address   = {Amsterdam},
  isbn      = {978-0-12-409548-9},
  doi       = {10.1016/B978-0-12-819727-1.00089-3},
  year      = {2021},
  abstract  = {The focus of this chapter is the production of power and the use of the heat produced from concentrated solar thermal power (CSP) systems. The chapter starts with the general theoretical principles of concentrating systems including the description of the concentration ratio, the energy and mass balance. The power conversion systems is the main part where solar-only operation and the increase in operational hours. Solar-only operation include the use of steam turbines, gas turbines, organic Rankine cycles and solar dishes. The operational hours can be increased with hybridization and with storage. Another important topic is the cogeneration where solar cooling, desalination and of heat usage is described. Many examples of commercial CSP power plants as well as research facilities from the past as well as current installed and in operation are described in detail. The chapter closes with economic and environmental aspects and with the future potential of the development of CSP around the world.},
  language  = {en}
}
@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 movements 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}
}
@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}
}
@article{JablonskiPoghossianSeverinetal.2021,
  author    = {Jablonski, Melanie and Poghossian, Arshak and Severin, Robin and Keusgen, Michael and Wege, Christian and Sch{\"o}ning, Michael Josef},
  title     = {Capacitive Field-Effect Biosensor Studying Adsorption of Tobacco Mosaic Virus Particles},
  series = {Micromachines},
  volume    = {12},
  journal   = {Micromachines},
  number    = {1},
  publisher = {MDPI},
  address   = {Basel},
  doi       = {10.3390/mi12010057},
  pages     = {Artikel 57},
  year      = {2021},
  abstract  = {Plant virus-like particles, and in particular, tobacco mosaic virus (TMV) particles, are increasingly being used in nano- and biotechnology as well as for biochemical sensing purposes as nanoscaffolds for the high-density immobilization of receptor molecules. The sensitive parameters of TMV-assisted biosensors depend, among others, on the density of adsorbed TMV particles on the sensor surface, which is affected by both the adsorption conditions and surface properties of the sensor. In this work, Ta₂O₅-gate field-effect capacitive sensors have been applied for the label-free electrical detection of TMV adsorption. The impact of the TMV concentration on both the sensor signal and the density of TMV particles adsorbed onto the Ta₂O₅-gate surface has been studied systematically by means of field-effect and scanning electron microscopy methods. In addition, the surface density of TMV particles loaded under different incubation times has been investigated. Finally, the field-effect sensor also demonstrates the label-free detection of penicillinase immobilization as model bioreceptor on TMV particles.},
  language  = {en}
}
@article{HarzheimMuehmelHeuermann2021,
  author    = {Harzheim, Thomas and M{\"u}hmel, Marc and Heuermann, Holger},
  title     = {A SFCW harmonic radar system for maritime search and rescue using passive and active tags},
  series = {International Journal of Microwave and Wireless Technologies},
  volume    = {13},
  journal   = {International Journal of Microwave and Wireless Technologies},
  number    = {Special Issue 7},
  publisher = {Cambridge University Press},
  address   = {Cambridge},
  doi       = {10.1017/S1759078721000520},
  pages     = {691 -- 707},
  year      = {2021},
  abstract  = {This paper introduces a new maritime search and rescue system based on S-band illumination harmonic radar (HR). Passive and active tags have been developed and tested while attached to life jackets and a small boat. In this demonstration test carried out on the Baltic Sea, the system was able to detect and range the active tags up to a distance of 5800 m using an illumination signal transmit-power of 100 W. Special attention is given to the development, performance, and conceptual differences between passive and active tags used in the system. Guidelines for achieving a high HR dynamic range, including a system components description, are given and a comparison with other HR systems is performed. System integration with a commercial maritime X-band navigation radar is shown to demonstrate a solution for rapid search and rescue response and quick localization.},
  language  = {en}
}
@phdthesis{Jung2021,
  author    = {Jung, Alexander},
  title     = {Electromechanical modelling and simulation of hiPSC-derived cardiac cell cultures},
  publisher = {Universit{\"a}t Duisburg-Essen},
  isbn      = {978-3-9821811-1-0},
  url       = {http://nbn-resolving.de/https://nbn-resolving.org/urn:nbn:de:hbz:464-20210624-134942-7},
  pages     = {III, 135 Seiten},
  year      = {2021},
  language  = {en}
}
@techreport{StoelzleFeixThomasEngelstaedteretal.2021,
  author    = {St{\"o}lzle-Feix, Sonja and Thomas, Ulrich and Engelst{\"a}dter, Max and Goßmann, Matthias and Linder, Peter and Staat, Manfred and Raman, Aravind Hariharan and Jung, Alexander and Fertig, Niels},
  title     = {Plattformtechnologie f{\"u}r kardiale Sicherheitspharmakologie basierend auf teilsynthetischem Herzmuskelgewebe (FLEXcyte) : gemeinsamer FuE-Abschlussbericht aller Partner des Verbundprojektes : Projektlaufzeit: 01.10.2018 bis 30.09.2020},
  publisher = {Nanion Technologies GmbH},
  address   = {M{\"u}nchen},
  doi       = {10.2314/KXP:1813208581},
  pages     = {IV, 85 Seiten, 2 ungez{\"a}hlte Seiten},
  year      = {2021},
  language  = {de}
}