Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lena Trapp"'
Autor:
Lena Trapp, Niels Karschin, Markus Godejohann, Hilke Schacht, Hermann Nirschl, Gisela Guthausen
Publikováno v:
Molecules, Vol 29, Iss 13, p 3024 (2024)
To reduce unwanted fat bloom in the manufacturing and storage of chocolates, detailed knowledge of the chemical composition and molecular mobility of the oils and fats contained is required. Although the formation of fat bloom on chocolate products h
Externí odkaz:
https://doaj.org/article/856ea4200ba04e97947379e4b51a8fdb
Publikováno v:
Frontiers in Food Science and Technology, Vol 3 (2024)
Hazelnut-based spreads are very popular, and they are available in a variety of compositions and prices. They, therefore, require detailed quality control and reliable fraud detection regarding the substitution of high-cost cocoa butter. Transverse r
Externí odkaz:
https://doaj.org/article/2c83173a33054a2cbeb23632857c614a
Publikováno v:
Tribologie und Schmierungstechnik. 69:43-53
Detailed knowledge of the influences on the frictional behavior is crucial for reliable operation of safety-relevant, wet-running multi-plate clutches. The breakaway torque is of particular interest for safety-critical applications such as safety bra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36baa7d66662b1d8bb8f662cb66e942a
https://doi.org/10.24053/tus-2022-0044
https://doi.org/10.24053/tus-2022-0044
Publikováno v:
Annual Reports on NMR Spectroscopy ISBN: 9780323988735
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06d200e637ba40bf3eca2c15ef210652
https://doi.org/10.1016/bs.arnmr.2022.07.003
https://doi.org/10.1016/bs.arnmr.2022.07.003
Autor:
Jan Rudolph, Balthasar Schachtner, Nicola Fink, Vanessa Koliogiannis, Vincent Schwarze, Sophia Goller, Lena Trappmann, Boj F. Hoppe, Nabeel Mansour, Maximilian Fischer, Najib Ben Khaled, Maximilian Jörgens, Julien Dinkel, Wolfgang G. Kunz, Jens Ricke, Michael Ingrisch, Bastian O. Sabel, Johannes Rueckel
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Artificial intelligence (AI) algorithms evaluating [supine] chest radiographs ([S]CXRs) have remarkably increased in number recently. Since training and validation are often performed on subsets of the same overall dataset, external validati
Externí odkaz:
https://doaj.org/article/ad5365621b25497093f989c0ffc4da95