Tree mycorrhizal type regulates leaf and needle microbial communities, affects microbial assembly and co-occurrence network patterns, and influences litter decomposition rates in temperate forest
Tanunchai, Benjawan; Ji, Li; Schroeter , Simon Andreas; Wahdan, S. F. M.; Tongsuk, K.; Hilke , Ines; Gleixner, Gerd; Buscot, F.; Schulze, Ernst-Detlef ; Noll, Matthias; Purahong, W. (2023)
Tanunchai, Benjawan; Ji, Li; Schroeter , Simon Andreas; Wahdan, S. F. M.; Tongsuk, K....
Frontiers Plant Sciences 14, 1239600.
DOI: 10.3389/fpls.2023.1239600
Open Access Peer Reviewed
Physicians’ experiences of treating long COVID with traditional Chinese medicine ‐ a cross‐sectional survey
Kraft, Jana; Hardy, Anne; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina; Ziegler, Birgit; Meißner, Karin (2023)
Kraft, Jana; Hardy, Anne; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina...
Vortrag und Posterpräsentation auf 22. Deutschen Kongresses für Versorgungsforschung 2023, 4.-6.10.2023, Berlin.
Peer Reviewed
Usanovich and Nernst colliding: inconsistencies in the all-in-one acid–base concept?
Flechsig, Gerd-Uwe (2023)
Foundations of Chemistry 2023.
DOI: 10.1007/s10698-023-09482-x
Open Access Peer Reviewed
Among the many acid-base concepts, the theory of Usanovich is one of the least known despite the most general scope including almost all chemical reaction types and even redox chemistry. Published 1939 in a Soviet journal in Russian language, it gained little immediate attention, and was later criticized mainly as being too broad in scope. Although several articles recently remembered Usanovich and his acid–base theory, one major inconsistency again was overseen: the electron is put in a row along with anions. Chemical history probably correctly puts this concept aside, also because it added little explanation capabilities beyond the elaborated considerations of the simultaneously published acid–base theory of Gilbert N. Lewis which was later refined by Pearson (hard and soft acids and bases, “HSAB”). A modified version of the core of Usanovich' concept is finally discussed. It combines the classic protic and aprotic acid–base concepts on the foundations of Lewis’ and Pearsons ideas.
Evaluation of hazard perception of a teleoperator using eye-tracking
Srinivasan, Priya; Lindner, Alisa (2023)
Poster-Präsentation auf dem 4. Kongress der Fachgruppe Verkehrspsychologie, Stuttgart, 11.-12.9.2023, S. 27.
DOI: 10.24355/dbbs.084-202404160846-0
Open Access
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I
Nowaczyk, Slawomir; Biecek, Przemyslaw; Chung, Neo Christopher; Vallati, Mauro; Skruch, Pawel; Jaworek-Korjakowska, Joanna; Parkinson, Simon; Nikitas, Alexandros; Atzmüller, Martin; Tomás, Kliegr; Schmid, Ute; Bobek, Szymon; Lavrac, Nada; Peeters, Marieke; van Dierendonck, Roland; Robben, Saskia; Mercier-Laurent, Eunika; Kayakutlu, Gülgün; Owoc, Mieczyslaw Lech; Mason, Karl; Wahid, Abdul; Bruno, Pierangela; Calimeri, Francesco; Cauteruccio, Francesco; Terracina, Giorgio; Wolter, Diedrich; Leidner, Jochen L.; Kohlhase, Michael; Dimitrova, Vania (2023)
Nowaczyk, Slawomir; Biecek, Przemyslaw; Chung, Neo Christopher; Vallati, Mauro...
Communications in Computer and Information Science (CCIS) 1947.
Peer Reviewed
Language-Model Assisted Learning How to Program?
Leidner, Jochen L.; Reiche, Michael (2023)
Workshop on AI for AI Learning Held at ECAI 2023, Kakow, Poland, September 30, 2023.
Peer Reviewed
Bridging the Programming Skill Gap with ChatGPT: A Machine Learning Project with Business Students
Reiche, Michael; Leidner, Jochen L. (2023)
Workshop on AI for AI Learning Held at ECAI 2023, Kakow, Poland, September 30, 2023.
Peer Reviewed
Topic Segmentation of Educational Video Lectures Using Audio and Text
Dimitsas, Markos; Leidner, Jochen L. (2023)
Workshop on AI for AI Learning Held at ECAI 2023, Kakow, Poland, September 30, 2023.
Peer Reviewed
Case Study: Delta Wing at Low Subsonic Speed
Epple, Philipp (2023)
https://www.ansys.com/academic/educators/education-resources/case-study-delta-wing-at-low-subsonic-speed.
Open Access
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II
Nowaczyk, Slawomir; Biecek, Przemyslaw; Chung, Neo Christopher; Vallati, Mauro; Skruch, Pawel; Jaworek-Korjakowska, Joanna; Parkinson, Simon; Nikitas, Alexandros; Atzmüller, Martin; Tomás, Kliegr; Schmid, Ute; Bobek, Szymon; Lavrac, Nada; Peeters, Marieke; van Dierendonck, Roland; Robben, Saskia; Mercier-Laurent, Eunika; Kayakutlu, Gülgün; Owoc, Mieczyslaw Lech; Mason, Karl; Wahid, Abdul; Bruno, Pierangela; Calimeri, Francesco; Cauteruccio, Francesco; Terracina, Giorgio; Wolter, Diedrich; Leidner, Jochen L.; Kohlhase, Michael; Dimitrova, Vania (2023)
Nowaczyk, Slawomir; Biecek, Przemyslaw; Chung, Neo Christopher; Vallati, Mauro...
Communications in Computer and Information Science (CCIS) 1948.
DOI: 10.1007/978-3-031-56066-8_22
Peer Reviewed
Treatment of Long/Post-COVID with Traditional Chinese Medicine (TCM) –a cross-sectional survey of TCM physicians
Hardy, Anne; Kraft, Jana; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina; Ziegler, Birgit; Meißner, Karin (2023)
Hardy, Anne; Kraft, Jana; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina...
Poster auf 20. Internationalem TAO Kongress 2023, Graz, Österreich.
Peer Reviewed
Tackling Learning Obstacles in Learning Videos by Thematic Ad-hoc Recom-mendations
Lehmann, Alexander; Landes, Dieter (2023)
Proc. 26th International Conference on Interactive Collaborative Learning / 52nd Int. Conf. on Engineering Pedagogy (ICL2023), S. 1499-1506.
Peer Reviewed
Learning videos enjoy great popularity in a digitalized world, especially since their use is usually possible regardless of time and location. Learners use this advantage mainly in self-study. Supervision, as for example in classroom teaching, is rather difficult and learners are usually left to their own devices when learning obstacles arise. However, not treating learning obstacles can have serious consequences, ranging from a gradual loss of the learners’ motivation to the termination of the learning project. Consequently, learning obstacles must be identified and treated in order to support an efficient learning process. Fortunately, a digital learning environment opens up many opportunities to support learners automatically. This paper explains an approach to identify potential learning obstacles in video learning based on indirect feedback. The first part of the approach to removing learning obstacles in learning videos is based on an analysis of learners' click interaction within a video to identify potential problem areas. Building on this, the second part provides first thematically relevant ad hoc video recommendations for the potentially identified learning obstacle. In order to verify whether there is actually a learning obstacle, the third part explicitly induces learners to give indirect or direct feedback on whether the recommendations have helped them and, consequently, whether they have removed an actual learning obstacle.
Improving IV Curve Classification by Machine Learning Methods Using Deep Autoencoders
Schönau, Maximilian; Hüttl, Bernd; Landes, Dieter (2023)
Proceedings of 40th European Photovoltaic Solar Energy Conference 2023.
On-site current-voltage (IV) measurements will play an essential role in the online monitoring of PV systems. However, challenging measurement conditions like inconsistent irradiance levels on PV arrays (e.g., due to local shading) can distort IV curves, leading to inaccurate characterizations. By accurately detecting deformed IV curves, the reliability of both on-site and remote IV measurements is significantly enhanced. For this purpose, several classifiers were evaluated using 4104 manually labeled IV measurements on a mc-Si-PV array. Machine learning tech-niques perform much better than a traditional rule-based filter, with accuracy above 99 %. A deep Autoencoder was employed to reduce IV measurements into a set of 7 features, which encoded the shape of the curves into a low dimen-sionality. The IV-Autoencoder improved the classification of IV curves, yielding better results than a feature reduction with Principal Component Analysis. The proposed classifiers are able to sort out on-site IV measurements under un-satisfactory environmental conditions, benefiting the online monitoring of PV systems. It may also be used as an indi-cator for faulty PV strings.
Vom Scheitern und Gelingen kultureller Teilhabe in der Lehre – eine kritische Reflexion zweier Hochschullehrveranstaltungen im Bachelor Soziale Arbeit mit dem Inhalt und Ziel der kulturellen Teilhabe
Gross, Hellen (2023)
Vortrag auf der Jahrestagung des Fachverbands für Kulturmanagementforschung e.V. in Berlin.
Open Access Peer Reviewed
Impact 23 – Eine Lehr-Lern-Festivalwoche zur Förderung nachhaltigen Denkens und Handelns: Anspruch und Wirklichkeit
Esslinger, Adelheid Susanne; Schadt, Christian (2023)
Zeitschrift für Hochschulentwicklung Ausgabe 18 (4), S. 1-24.
Open Access Peer Reviewed
Hochschulen sind engagierte Demonstratorinnen der Transformation (HRK, 2018). Im Sinne des Whole Institution Approach nachhaltigen Handelns an Hochschulen müssen sie in der Lehre innovative Lehr-Lern-Arrangements erarbeiten, um Zukunftsgestalter:innen auszubilden. Die Formate dienen neben der Sensibilisierung für transformatives Handeln auch der Wissensvermittlung und dem Fördern praktischen Handelns. In einem Lehr-Lern-Festival („Impact 23“) an der Hochschule Coburg erarbeiteten entsprechend Studierende praktische Lösungen für regionale Auftraggeber:innen, um den Herausforderungen der Transformation zu begegnen. Der folgende Beitrag schildert die Erfahrungen aus „Impact 23“ und leitet vielfältige Handlungsempfehlungen für die Hochschullehre ab.
Quantification of Moisture in Masonry via AI Evaluated Broadband Radar Reflectometry
Frenzel, Daniel; Blaschke, Oliver; Franzen, Christoph; Brand, Felix; Haas, Franziska; Troi, Alexandra; Drese, Klaus Stefan (2023)
Frenzel, Daniel; Blaschke, Oliver; Franzen, Christoph; Brand, Felix; Haas, Franziska...
Vortrag: Salt Weathering of Buildings and Stone Sculptures Asia 2023, S. 195-206.
Neue Therapieoptionen für die Alzheimer-Demenz?
Funke, Susanne A. (2023)
Demenzabend im Rahmen des TAO-Themenjahres 2023 - Gesundheit / Alte Kühlhalle Coburg .
Monitoring rising damp in solid masonry walls: An experimental comparison of five different methods
Panico, Simone; Herrera-Avellanosa, Daniel; Troi, Alexandra (2023)
Journal of Building Engineering 75, 106999.
DOI: 10.1016/j.jobe.2023.106999
Peer Reviewed
Achtsamkeit im Schulalltag: Die Gesundheit der Lehrkräfte im Blick.
Kohls, Niko (2023)
Interview 2013 (3), S. 10-12.
Fungicides and insecticides alter the microbial community on the cuticle of honey bees
Reiß, Fabienne; Schumann, A.; Sohl, L.; Thamm, M.; Scheiner, Ricarda; Noll, Matthias (2023)
Reiß, Fabienne; Schumann, A.; Sohl, L.; Thamm, M.; Scheiner, Ricarda...
Frontiers Microbiology
14, 1271498.
DOI: 10.3389/fmicb.2023.1271498
Open Access Peer Reviewed
ForschungsTransferCenter (FTC)
Hochschule Coburg
ForschungsTransferCenter (FTC)
Friedrich-Streib-Str. 2
96450 Coburg
Ansprechperson für Publikationsverzeichnis:
Monika SchnabelReferentin für Forschungs- und Drittmittelservice
T +49 9561 317 8062
monika.schnabel[at]hs-coburg.de