Pattern recognition programming to predict productivity of Yarrowia lipolytica DSM 3286 for citric acid production
Hain, Christopher; Gaisser, Sibylle (2022)
Business Meets Technology. 4th International Conference of the University of Applied Sciences Ansbach (7th to 9th July 2022) 2023.
DOI: 10.4995/BMT2022.2022.16007
Open Access
The non-conventional yeast Yarrowia lipolytica is attracting increasing attention due to its potential to produce large amounts of organic acids from hydrophobic substrates. Due to the steadily increasing demand for citric acid in the industrial sector, the aim of this scientific work was to develop a predictive model of the citric acid productivity of the strain Yarrowia lipolytica DSM3286. As a basis for this, the optical density, pH, cell number and citric acid were determined in 18 identical mixtures.
The citric acid concentration (mean values of the measured concentration over time) follows a linear increase. Based on this, the mathematical calculation operation of linear regression was selected for modeling the prediction model in Python. The following coefficients were determined for the variables used in the learning algorithm:
• time: 6,104 * 10-4
• OD: -1,224 * 10-1
• pH value: -4,043 * 10-1
• Cell count: 1,749 * 10-8
In final validation of the program, a result accuracy of 86.5% was obtained. The result obtained in the present scientific work shows that by means of simple linear regression, over a cultivation period of 13 days, a prediction of the citric acid productivity of strain Yarrowia lipolytica DSM3286 is possible.
Sports marketing innovation: increasing fan engagement via innovative statistics from facial emotion recognition
Kröckel, Pavlina; Piazza, Alexander; Wessel, Pascal (2022)
4th International Conference Business Meets Technology 2022 2022, S. 220-231.
DOI: 10.4995/BMT2022.2022.15631
Open Access
Technology in football is increasingly used for decision making. Adoption, especially in Germany, has been slow. However, the benefits of data analytics for pre-, and post-match analysis have motivated decision makers to pay attention to the data science trend. Nowadays, football clubs from the third leagues or even amateur clubs are using technology to help them gain a competitive edge. Fan experience, both online and offline (home infront of the TV or at the stadium) is driving the next innovation stage in football. The study presented here is focused on testing and evaluation a facial recognition software on images from football coaches, just a few seconds after an important situation during the match has taken place (e.g., win, goal scored). We demonstrated that, in fact, emotion recognition software captures unexpected emotional reactions from coaches which could then be used to calculate interesting statistics and increase fan engagement and entertainment.
Identification of Low-Dimensional Nonlinear Dynamics from High-Dimensional Simulated and Real-World Data
Paglia, Chiara; Stiehl, Annika; Uhl, Christian (2022)
CONTROLO 2022. Lecture Notes in Electrical Engineering, Vol 930, Springer, Cham, S. 205-213.
DOI: 10.1007/978-3-031-10047-5_18
Dynamical Component Analysis: Matrix Case and Differential Geometric Point of View
Romberger, Philipp; Warmuth, Monika; Uhl, Christian; Hüper, Knut (2022)
CONTROLO 2022. Lecture Notes in Electrical Engineering, Vol 930. Springer, Cham, S. 385-394.
DOI: 10.1007/978-3-031-10047-5_34
D-A-CH Update – aktuelle Entwicklungen mit IT-Bezug in Gesetzgebung und Rechtsprechung des vergangenen Jahres in Deutschland, Österreich und der Schweiz
Fehr, Stefanie (2022)
DGRI DreiLänderTreffen vom 30.06.-02.07.22.
Cross-cultural Collaboration for International Trade, and Markets. Case of Indigenous Management Concepts
Garg, Ritam (2022)
4th International Conference Business Meets Technology 2022.
DOI: 10.4995/BMT2022.2022.15543
Open Access
Whistleblowing und die aktuellen Entwicklungen
Fehr, Stefanie (2022)
Vortrag auf dem DGRI-Drei-Länder-Treffen, Karlsruhe, 30.06. - 02.07.2022.
Whistleblowing und Datenschutz – ein unlösbares Spannungsfeld?
Fehr, Stefanie (2022)
Zeitschrift für Datenschutz 06/2022, S. 256-260.
Antibiotic-loaded 2D collagen matrices show high biocompatibility with human fibroblasts
Hänel, Svenja; Ahlers, Michael; Martin, Annette (2022)
Tagungsband 16. ThGOT Thementage Grenz- und Oberflächentechnik und 13. Biomaterial-Kolloquium 14. - 15. Juni 2022, INNOVENT e.V. ISBN 978-3-00-063254-9.
Determination of micro- and nano-plastics contamination in plant samples using correlative microscopy
Wissler, J.; Häfner, Philipp; Aberle, A.; Loerler, N.; Mamdouh, D.; Szwajgier, D.; Reimann, Hans-Achim (2022)
Wissler, J.; Häfner, Philipp; Aberle, A.; Loerler, N.; Mamdouh, D.; Szwajgier, D....
21st International European Light Microscopy Initiative Meeting, ELMI2022, 7.-10.06.2022, Turku, Finland.
3D Druck aus dem REM – Micro to Macro
Häfner, Philipp; Ketterle, A.; Reimann, Hans-Achim (2022)
2. Posterpreis. 16. ThGOT und 13. Biomaterial-Kolloquium 2022. Innovent e.V..
Dynamical Component Analysis: Updated and improved algorithm, applications, and limitations
Warmuth, Monika; Romberger, Philipp; Hüper, Knut; Uhl, Christian (2022)
ITISE 2022, 27. - 30.06.2022, Gran Canaria, Spanien.
Ethische Sensibilität im digitalen Kontext: Macht der Studiengang den Unterschied?
Händel, Marion; Martschinke, Sabine (2022)
Vortrag im Rahmen der Ringvorlesung "Digitalität – Bildung – Ethik" der FAU Erlangen-Nürnberg, Juni 2022.
Components of digital assistants in higher education environments
Schmid , Elena ; Mehlin, Vanessa ; Henne, Sophie ; Schacht, Sigurd (2022)
2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference.
DOI: 10.1109/ICE/ITMC-IAMOT55089.2022.10033236
Peer Reviewed
In a current research project at a German university, a digital study assistant based on conversational AI is being developed. In this research project, four main application areas of the digital assistant are planned: communicator, for answering questions, conversation, and mentoring; a planner, for performing time and task management and course planning; a motivator, for actively managing learning success with gamification elements; and an analyzer, for processing necessary information about the student's study progress. In order to identify different application examples and possibilities for these four areas of the digital study assistant, the aim of this paper is to conduct a literature review. In addition to application examples and possibilities, implementation goals and the improvement of study results through such applications were researched.
Gründertag "Campus der Löwen": Gewinnerprojekt im deutschen Vorentscheid für den "European Enterprise Promotion Awards" (EEPA)
Durst, Carolin; Hähnlein, Johannes (2022)
https://www.rkw-kompetenzzentrum.de/das-rkw/presse/eepa/ und https://gruendungsberatung.hs-ansbach.de/gruendungstag/.
Selfie Periocular Verification using an Efficient Super-Resolution Approach
Gomez-Barrero, Marta; Busch, Christoph (2022)
IEEE Access 2022 (10), S. 67573-67589.
DOI: 10.1109/ACCESS.2022.3184301
Open Access Peer Reviewed
The Role of Reference Points and Organizational Identity in Strategic Adaptation to Performance Feedback
Blettner, Daniela; Gollisch, Simon (2022)
Management Research Review.
DOI: 10.1108/MRR-11-2021-0807
Emerging Market Multinationals: Perspectives from Asia
Garg, Ritam (2022)
European Academy of Management (EURAM) 2022.
Pop-up Stores in Retailing: Past, Present, and Future Fields of Application
Hoffmann, Nils Christian; Klug, Katharina (2022)
2022 EMAC European Marketing Academy Conference, 25 - 27 May 2022 Budapest; Hungary.
Peer Reviewed
Students’ motivation during experimental activities: an empirical study with GeoBoxes in Germany
Naujoks, Nick; Gölitz, Dietmar; Tellesch-Bülow, Christiane; Händel, Marion; Schubert, Jan Christoph (2022)
Naujoks, Nick; Gölitz, Dietmar; Tellesch-Bülow, Christiane; Händel, Marion...
International Research in Geographical and Environmental Education 31 (4), S. 320-336.
DOI: 10.1080/10382046.2022.2084263
Servicestelle für Forschung und Transfer (SFT)
Hochschule Ansbach
Residenzstr. 8
91522 Ansbach
Betreuung der Publikationsseiten
Iris BoynyT 0981/4877-341
iris.boyny[at]hs-ansbach.de