Zobrazeno 1 - 10
of 5 231
pro vyhledávání: '"A. Scheibel"'
Autor:
Ghorai, Sagar, Clulow, Rebecca, Cedervall, Johan, Huang, Shuo, Ericsson, Tore, Häggström, Lennart, Skini, Ridha, Shtender, Vitalii, Vitos, Levente, Eriksson, Olle, Scheibel, Franziska, Gutfleisch, Oliver, Sahlberg, Martin, Svedlindh, Peter
The non-stoichiometric Fe$_2$P-type (FeMnP$_{0.5}$Si$_{0.5}$)$_{1-x}$(FeV)$_{x}$ alloys ( $x=0, 0.01$, $0.02$, and $0.03$) have been investigated as potential candidates for magnetic refrigeration near room temperature. The magnetic ordering temperat
Externí odkaz:
http://arxiv.org/abs/2410.01747
Autor:
Atzberger, Daniel, Cech, Tim, Scheibel, Willy, Döllner, Jürgen, Behrisch, Michael, Schreck, Tobias
The semantic similarity between documents of a text corpus can be visualized using map-like metaphors based on two-dimensional scatterplot layouts. These layouts result from a dimensionality reduction on the document-term matrix or a representation w
Externí odkaz:
http://arxiv.org/abs/2407.17876
Standard datasets are frequently used to train and evaluate Machine Learning models. However, the assumed standardness of these datasets leads to a lack of in-depth discussion on how their labels match the derived categories for the respective use ca
Externí odkaz:
http://arxiv.org/abs/2406.13552
Autor:
Liu, Wei, Gottschall, Tino, Scheibel, Franziska, Bykov, Eduard, Aubert, Alex, Fortunato, Nuno, Beckmann, Benedikt, Döring, Allan M., Zhang, Hongbin, Skokov, Konstantin, Gutfleisch, Olivler
The low efficiency of conventional liquefaction technologies based on the Joule-Thomson expansion makes liquid hydrogen currently not attractive enough for large-scale energy-related technologies that are important for the transition to a carbon-neut
Externí odkaz:
http://arxiv.org/abs/2405.01128
Autor:
Liu, Wei, Scheibel, Franziska, Fortunato, Nuno, Dirba, Imants, Gottschall, Tino, Zhang, Hongbin, Skokov, Konstantin, Gutfleisch, Oliver
The excellent magnetic entropy change ($\Delta S_T$) in the temperature range of 20 $\sim$ 77 K due to the first-order phase transition makes $Pr_2In$ an intriguing candidate for magnetocaloric hydrogen liquefaction. As an equally important magnetoca
Externí odkaz:
http://arxiv.org/abs/2311.05022
Autor:
Daniela Brune, Steven Z. George, Robert R. Edwards, Philipp Moroder, Markus Scheibel, Asimina Lazaridou
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-12 (2024)
Abstract Background Reverse total shoulder arthroplasty (RTSA) is commonly performed to reduce pain and restore shoulder function in patients with severe shoulder conditions. While most patients experience significant pain relief and functional impro
Externí odkaz:
https://doaj.org/article/8a423caceda94c93bb5e507bbe23ecf3
Publikováno v:
JSES Reviews, Reports, and Techniques, Vol 4, Iss 4, Pp 812-816 (2024)
Externí odkaz:
https://doaj.org/article/2ba98dd70505432da41ab942d92badaf
Publikováno v:
JSES Reviews, Reports, and Techniques, Vol 4, Iss 4, Pp 834-838 (2024)
Externí odkaz:
https://doaj.org/article/01b2ea72c46d48c3bbcb96990109b3e8
Autor:
Kennedy, Eamonn, Vadlamani, Shashank, Lindsey, Hannah M, Peterson, Kelly S, OConnor, Kristen Dams, Murray, Kenton, Agarwal, Ronak, Amiri, Houshang H, Andersen, Raeda K, Babikian, Talin, Baron, David A, Bigler, Erin D, Caeyenberghs, Karen, Delano-Wood, Lisa, Disner, Seth G, Dobryakova, Ekaterina, Eapen, Blessen C, Edelstein, Rachel M, Esopenko, Carrie, Genova, Helen M, Geuze, Elbert, Goodrich-Hunsaker, Naomi J, Grafman, Jordan, Haberg, Asta K, Hodges, Cooper B, Hoskinson, Kristen R, Hovenden, Elizabeth S, Irimia, Andrei, Jahanshad, Neda, Jha, Ruchira M, Keleher, Finian, Kenney, Kimbra, Koerte, Inga K, Liebel, Spencer W, Livny, Abigail, Lovstad, Marianne, Martindale, Sarah L, Max, Jeffrey E, Mayer, Andrew R, Meier, Timothy B, Menefee, Deleene S, Mohamed, Abdalla Z, Mondello, Stefania, Monti, Martin M, Morey, Rajendra A, Newcombe, Virginia, Newsome, Mary R, Olsen, Alexander, Pastorek, Nicholas J, Pugh, Mary Jo, Razi, Adeel, Resch, Jacob E, Rowland, Jared A, Russell, Kelly, Ryan, Nicholas P, Scheibel, Randall S, Schmidt, Adam T, Spitz, Gershon, Stephens, Jaclyn A, Tal, Assaf, Talbert, Leah D, Tartaglia, Maria Carmela, Taylor, Brian A, Thomopoulos, Sophia I, Troyanskaya, Maya, Valera, Eve M, van der Horn, Harm Jan, Van Horn, John D, Verma, Ragini, Wade, Benjamin SC, Walker, Willian SC, Ware, Ashley L, Werner Jr, J Kent, Yeates, Keith Owen, Zafonte, Ross D, Zeineh, Michael M, Zielinski, Brandon, Thompson, Paul M, Hillary, Frank G, Tate, David F, Wilde, Elisabeth A, Dennis, Emily L
An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues. Most notably, results drawn from different settings and studies are not comparable, which
Externí odkaz:
http://arxiv.org/abs/2309.04607
Autor:
Atzberger, Daniel, Cech, Tim, Scheibel, Willy, Trapp, Matthias, Richter, Rico, Döllner, Jürgen, Schreck, Tobias
Topic models are a class of unsupervised learning algorithms for detecting the semantic structure within a text corpus. Together with a subsequent dimensionality reduction algorithm, topic models can be used for deriving spatializations for text corp
Externí odkaz:
http://arxiv.org/abs/2307.11770