TY - JOUR A1 - Seifarth, Volker A1 - Schehl, D. A1 - Linder, Peter A1 - Gossmann, Matthias A1 - Digel, Ilya A1 - Artmann, Gerhard A1 - Porst, Dariusz A1 - Preiß, C. A1 - Kayser, Peter A1 - Pack, O. A1 - Temiz Artmann, Aysegül T1 - Ureplace: development of a bioreactor for in vitro culturing of cell seeded tubular vessels on collagen scaffolds N2 - The demand of replacements for inoperable organs exceeds the amount of available organ transplants. Therefore, tissue engineering developed as a multidisciplinary field of research for autologous in-vitro organs. Such three dimensional tissue constructs request the application of a bioreactor. The UREPLACE bioreactor is used to grow cells on tubular collagen scaffolds OPTIMAIX Sponge 1 with a maximal length of 7 cm, in order to culture in vitro an adequate ureter replacement. With a rotating unit, (urothelial) cells can be placed homogeneously on the inner scaffold surface. Furthermore, a stimulation is combined with this bioreactor resulting in an orientation of muscle cells. These culturing methods request a precise control of several parameters and actuators. A combination of a LabBox and the suitable software LabVision is used to set and conduct parameters like rotation angles, velocities, pressures and other important cell culture values. The bioreactor was tested waterproof successfully. Furthermore, the temperature controlling was adjusted to 37 °C and the CO2 - concentration regulated to 5 %. Additionally, the pH step responses of several substances showed a perfect functioning of the designed flow chamber. All used software was tested and remained stable for several days. KW - Tissue Engineering KW - Bioreaktor KW - Organkultur KW - Harnleiter Y1 - 2011 ER - TY - JOUR A1 - Seynnes, O. R. A1 - Bojsen-Moller, J. A1 - Albracht, Kirsten A1 - Arndt, A. A1 - Cronin, N. J. A1 - Finni, T. A1 - Magnusson, S. P. T1 - Ultrasound-based testing of tendon mechanical properties: a critical evaluation JF - Journal of Applied Physiology Y1 - 2015 U6 - https://doi.org/10.1152/japplphysiol.00849.2014 SN - 8750-7587 VL - 118 IS - 2 SP - 133 EP - 141 ER - TY - CHAP A1 - Siebigteroth, Ines A1 - Kraft, Bodo A1 - Schmidts, Oliver A1 - Zündorf, Albert T1 - A Study on Improving Corpus Creation by Pair Annotation T2 - Proceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK-PS 2019) Y1 - 2019 SN - 1613-0073 SP - 40 EP - 44 ER - TY - RPRT A1 - Siegert, Petra A1 - Bongaerts, Johannes A1 - Wagner, Torsten A1 - Schöning, Michael Josef A1 - Selmer, Thorsten T1 - Abschlussbericht zum Projekt zur Überwachung biotechnologischer Prozesse mittels Diacetyl-/Acetoin-Biosensor und Evaluierung von Acetoin-Reduktasen zur Verwendung in Biotransformationen Y1 - 2022 N1 - Laufzeit: 01.01.2016 – 31.12.2019 (verlängert bis 31.12.2020) Förderkennzeichen: 322-8.03.04.02-FH-Struktur 2016/02 Gefördert durch: Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen CY - Aachen ER - TY - CHAP A1 - Sildatke, Michael A1 - Karwanni, Hendrik A1 - Kraft, Bodo A1 - Schmidts, Oliver A1 - Zündorf, Albert T1 - Automated Software Quality Monitoring in Research Collaboration Projects T2 - ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops N2 - In collaborative research projects, both researchers and practitioners work together solving business-critical challenges. These projects often deal with ETL processes, in which humans extract information from non-machine-readable documents by hand. AI-based machine learning models can help to solve this problem. Since machine learning approaches are not deterministic, their quality of output may decrease over time. This fact leads to an overall quality loss of the application which embeds machine learning models. Hence, the software qualities in development and production may differ. Machine learning models are black boxes. That makes practitioners skeptical and increases the inhibition threshold for early productive use of research prototypes. Continuous monitoring of software quality in production offers an early response capability on quality loss and encourages the use of machine learning approaches. Furthermore, experts have to ensure that they integrate possible new inputs into the model training as quickly as possible. In this paper, we introduce an architecture pattern with a reference implementation that extends the concept of Metrics Driven Research Collaboration with an automated software quality monitoring in productive use and a possibility to auto-generate new test data coming from processed documents in production. Through automated monitoring of the software quality and auto-generated test data, this approach ensures that the software quality meets and keeps requested thresholds in productive use, even during further continuous deployment and changing input data. Y1 - 2020 U6 - https://doi.org/10.1145/3387940.3391478 N1 - ICSE '20: 42nd International Conference on Software Engineering, Seoul, Republic of Korea, 27 June 2020 - 19 July 2020 SP - 603 EP - 610 PB - IEEE CY - New York, NY ER - TY - JOUR A1 - Sildatke, Michael A1 - Karwanni, Hendrik A1 - Kraft, Bodo A1 - Zündorf, Albert T1 - A distributed microservice architecture pattern for the automated generation of information extraction pipelines JF - SN Computer Science N2 - Companies often build their businesses based on product information and therefore try to automate the process of information extraction (IE). Since the information source is usually heterogeneous and non-standardized, classic extract, transform, load techniques reach their limits. Hence, companies must implement the newest findings from research to tackle the challenges of process automation. They require a flexible and robust system that is extendable and ensures the optimal processing of the different document types. This paper provides a distributed microservice architecture pattern that enables the automated generation of IE pipelines. Since their optimal design is individual for each input document, the system ensures the ad-hoc generation of pipelines depending on specific document characteristics at runtime. Furthermore, it introduces the automated quality determination of each available pipeline and controls the integration of new microservices based on their impact on the business value. The introduced system enables fast prototyping of the newest approaches from research and supports companies in automating their IE processes. Based on the automated quality determination, it ensures that the generated pipelines always meet defined business requirements when they come into productive use. KW - Architectural design KW - Model-driven software engineering KW - Software and systems modeling KW - Enterprise information systems KW - Information extraction Y1 - 2023 U6 - https://doi.org/10.1007/s42979-023-02256-4 SN - 2661-8907 N1 - Corresponding authors: Michael Sildatke, Hendrik Karwanni IS - 4, Article number: 833 PB - Springer Singapore CY - Singapore ER - TY - JOUR A1 - Simonis, A. A1 - Dawgul, M. A1 - Lüth, H. A1 - Schöning, Michael Josef T1 - Miniaturised reference electrodes for field-effect sensors compatible to silicon chip technology JF - Electrochimica Acta. 51 (2005), H. 5 Y1 - 2005 SN - 0013-4686 U6 - https://doi.org/10.1016/j.electacta.2005.04.063 SP - 930 EP - 937 ER - TY - JOUR A1 - Simonis, A. A1 - Krings, T. A1 - Lüth, H. A1 - Wang, J. A1 - Schöning, Michael Josef T1 - A „hybrid“ thin-film pH sensor with integrated thick-film reference JF - Sensors. 1 (2001), H. 6 Y1 - 2001 SN - 1424-8220 SP - 183 EP - 192 ER - TY - JOUR A1 - Simonis, A. A1 - Lüth, H. A1 - Wang, J. A1 - Schöning, Michael Josef T1 - Strategies of miniaturised reference electrodes integrated in a silicon-based „one chip“ pH sensor JF - Sensors. 3 (2003), H. 9 Y1 - 2003 SN - 1424-8220 SP - 330 EP - 339 ER - TY - JOUR A1 - Simonis, A. A1 - Lüth, H. A1 - Wang, J. A1 - Schöning, Michael Josef T1 - Miniaturisierte Referenzelektroden in Siliziumtechnologie für elektrochemische Sensoranwendungen JF - Sensoren und Messsysteme 2004 : Tagung Ludwigsburg, 15. und 16. März 2004 / VDI-VDE-Gesellschaft Mess- und Automatisierungstechnik Y1 - 2004 SN - 3-18-091829-2 N1 - Auch erschienen als: VDI-Berichte ; 1829 SP - 847 EP - 850 PB - VDI CY - Düsseldorf ER -