Remote Monitoring and Teleoperation of Autonomous Vehicles—Is Virtual Reality an Option?
Kalamkar, Snehanjali; Biener, Verena; Beck, Fabian; Grubert, Jens (2023)
2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2023, 463-472.
Peer Reviewed
SoGelesen - Newsletter der Fakultät Soziale Arbeit; 2 Ausgaben jeweils im WiSe und SomSe
Lohrenscheit , Claudia (2023)
Newsletter 2024.
Architektur-Ästhetik
Heinrich, Michael (2023)
Vortrag und Diskussion, Denkmalnetz Bayern, Jahrestreffen 2023, Bamberg.
Ästhetik und Gesundheit
Heinrich, Michael (2023)
Vortrag und Diskussion, BBC Nierenforum, 14. Nierenforum Oberfranken Bayreuth Bamberg Coburg, Schloss Thurnau.
Approaching a Metadisciplinary Aesthetics
Heinrich, Michael (2023)
Rosmini Studies, Università di Trento 2023 (10), 413-435.
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, 27.
DOI: 10.24355/dbbs.084-202404160846-0
Open Access
Hygrothermal simulation challenges: Assessing boundary condition choices in retrofitting historic European buildings
Panico, Simone; Larcher, Marco; Herrera Avellanosa, Daniel; Baglivo, Cristina; Troi, Alexandra; Maria Congedo, Paolo (2023)
Panico, Simone; Larcher, Marco; Herrera Avellanosa, Daniel; Baglivo, Cristina...
Energy and Buildings 297, 113464.
DOI: 10.1016/j.enbuild.2023.113464
Peer Reviewed
This study explores the influence of uncertain boundary climate conditions on the hygrothermal performance of an internally insulated historic masonry wall using numerical simulations. The research compares diverse internal and external climate data sources to evaluate their reliability. A pre-validated hygrothermal simulation model serves as the benchmark for comparing simulated data with actual monitoring data. An array of climate data sources, including adaptive indoor climate models defined in the EN 15026 and UNI EN ISO 13788 standards, Typical Meteorological Years, and ground weather station data are considered. The core assessment parameters are temperature and relative humidity values beneath the insulation. Unexpectedly, the findings reveal that external climate conditions have a minor influence on the simulation results. Conversely, internal climate conditions significantly impact the outcomes, causing substantial variations. These implications underline the criticality of selecting an appropriate indoor climate model and moisture load class. The incorrect choice can lead to substantial errors, with peak relative humidity values predicted by the models varying in a range greater than 15 percentage points of relative humidity. In conclusion, the study reveals that utilizing Typical Meteorological Years and adaptive indoor climate models still yields excellent results, despite the inherent uncertainties. Moreover, this study emphasizes the importance of carefully selecting suitable indoor climate models to enhance the accuracy of hygrothermal simulations in historic buildings and underlines the need for future research focused on developing more precise guidelines for identifying the correct moisture load classes.
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
Komplexe politische, wirtschaftliche und klimatische Krisen solidarisch und kollektiv bearbeiten – am Beispiel von Mosambik (mit Tanja Kleibl)
Lohrenscheit , Claudia (2023)
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.
Open Access Peer Reviewed
The effects of pilates and open-label placebos on severe primary dysmenorrhea - a randomized controlled pilot study
Ort, Sandra; Waibl, Paula; Stang, Marina; Funke, Susanne A.; Dalkner, Nina; Meißner, Karin (2023)
Ort, Sandra; Waibl, Paula; Stang, Marina; Funke, Susanne A.; Dalkner, Nina...
German Journal of Sports Medicine 74 (4), 151.
Peer Reviewed
Strategien gegen Rechtsextremismus
Lohrenscheit , Claudia (2023)
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), 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.