TY - THES A1 - Jung, Alexander T1 - Electromechanical modelling and simulation of hiPSC-derived cardiac cell cultures Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?https://nbn-resolving.org/urn:nbn:de:hbz:464-20210624-134942-7 SN - 978-3-9821811-1-0 N1 - Dissertation, Universität Duisburg-Essen, 2021 PB - Universität Duisburg-Essen ER - TY - CHAP A1 - Tran, Ngoc Trinh A1 - Staat, Manfred T1 - FEM shakedown analysis of Kirchhoff-Love plates under uncertainty of strength T2 - Proceedings of UNCECOMP 2021 N2 - A new formulation to calculate the shakedown limit load of Kirchhoff plates under stochastic conditions of strength is developed. Direct structural reliability design by chance con-strained programming is based on the prescribed failure probabilities, which is an effective approach of stochastic programming if it can be formulated as an equivalent deterministic optimization problem. We restrict uncertainty to strength, the loading is still deterministic. A new formulation is derived in case of random strength with lognormal distribution. Upper bound and lower bound shakedown load factors are calculated simultaneously by a dual algorithm. Y1 - 2021 SN - 978-618-85072-6-5 U6 - https://doi.org/10.7712/120221.8041.19047 N1 - UNCECOMP 2021, 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, streamed from Athens, Greece, 28–30 June 2021. SP - 323 EP - 338 ER - TY - JOUR A1 - Ball, Christopher Stephen A1 - Vögele, Stefan A1 - Grajewski, Matthias A1 - Kuckshinrichs, Wilhelm T1 - E-mobility from a multi-actor point of view: Uncertainties and their impacts JF - Technological Forecasting and Social Change Y1 - 2021 SN - 0040-1625 U6 - https://doi.org/10.1016/j.techfore.2021.120925 VL - 170 IS - Art. 120925 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Grieger, Niklas A1 - Schwabedal, Justus T. C. A1 - Wendel, Stefanie A1 - Ritze, Yvonne A1 - Bialonski, Stephan T1 - Automated scoring of pre-REM sleep in mice with deep learning JF - Scientific Reports N2 - 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. Y1 - 2021 U6 - https://doi.org/10.1038/s41598-021-91286-0 SN - 2045-2322 N1 - Corresponding author: Stephan Bialonski VL - 11 IS - Art. 12245 PB - Springer Nature CY - London ER - TY - RPRT A1 - Blandford, Daniel A1 - Dachwald, Bernd A1 - Digel, Ilya A1 - Espe, Clemens A1 - Feldmann, Marco A1 - Francke, Gero A1 - Hiecke, Hannah A1 - Kowalski, Julia A1 - Lindner, Peter A1 - Plescher, Engelbert A1 - Schöngarth, Sarah T1 - Enceladus Explorer : Schlussbericht — Version: 1.0 Y1 - 2015 U6 - https://doi.org/10.2314/GBV:86319950X N1 - Förderkennzeichen BMWi 50NA1206 PB - FH Aachen CY - Aachen ER - TY - RPRT A1 - Digel, Ilya A1 - Kayser, Peter T1 - VirEx - Eliminierung von Quarantäne relevanten Viroiden aus Kulturpflanzen Abschlussbericht des Projektes KMU-innovativ-12: Teilprojekt 3 Y1 - 2017 U6 - https://doi.org/10.2314/GBV:1012136345 N1 - Druck-Ausgabe: Schlussbericht für das BMBF-Forschungsvorhaben "VirEx - Eliminierung von Quarantäne relevanten Viroiden aus Kulturpflanzen" Förderkennzeichen BMBF 031A400C PB - Institut für Bioengineering (IfB) der FH Aachen CY - Aachen ER - TY - RPRT A1 - Temiz Artmann, Aysegül T1 - Frühgeburtenrate mindern durch ein Prognoseverfahren für den vorzeitigen Blasensprung - PROMPT (Premature rupture of membranes prediction test) : Abschlussbericht ; Laufzeit des Vorhabens: 01.03.2007 - 31.12.2009 Y1 - 2010 U6 - https://doi.org/10.2314/GBV:644277858 N1 - Förderkennzeichen BMBF 1772X07 PB - Technische Informationsbibliothek u. Universitätsbibliothek CY - Aachen ER - TY - RPRT A1 - Artmann, Gerhard A1 - Bäumler, H. T1 - Pharmamikrocontainer mit designgesteuerter Permeabilität als Transporter für ausgewählte Pharmaka. Ein Gemeinschaftsprojekt im Forschungsschwerpunkt "Celluar Engineering" [Laufzeit: 01.09.2000 - 28.02.2002] Y1 - 2002 PB - FH Aachen CY - Jülich ER - TY - RPRT A1 - Artmann, Gerhard T1 - Plant mutant scanner : Hochdurchsatzscanner zur Charakterisierung von Pflanzenmutanten. Abschlussbericht ; FHprofUnd ; PhytoScan ; Laufzeit des Vorhabens: 01.07.2008 - 30.06.2011 Y1 - 2011 U6 - https://doi.org/10.2314/GBV:747569150 N1 - Förderkennzeichen BMBF 1736X08 PB - Technische Informationsbibliothek u. Universitätsbibliothek CY - Aachen ER - TY - RPRT A1 - Artmann, Gerhard T1 - Escherichia Coli Infektion und Zellschädigung - Wie perfekt wirken Antibiotika? : Abschlussbericht zum Projekt 1703701 Y1 - 2004 U6 - https://doi.org/10.2314/GBV:482527137 PB - Technische Informationsbibliothek u. Universitätsbibliothek CY - Jülich ER -