Zobrazeno 1 - 10
of 17 541
pro vyhledávání: '"P. Behrens"'
Publikováno v:
BMC Musculoskeletal Disorders, Vol 24, Iss 1, Pp 1-9 (2023)
Abstract Background The patellofemoral joint is a challenging environment for treating chondral defects. Among the surgical options for the treatment of chondral defects, the single-stage Autologous Matrix-Induced Chondrogenesis (AMIC) procedure uses
Externí odkaz:
https://doaj.org/article/641042d2a56943df989ccbdffd2ed058
Autor:
Firdaus, Kemal, Behrens, Jörn
We formulate a depth-averaged non-hydrostatic model to solve wave equations with generation by a moving bottom. This model is built upon the shallow water equations, which are widely used in tsunami wave modelling. An extension leads to two additiona
Externí odkaz:
http://arxiv.org/abs/2410.23707
Autor:
Lin, Xiachong, Prabowo, Arian, Razzak, Imran, Xue, Hao, Amos, Matthew, Behrens, Sam, Salim, Flora D.
The growing integration of digitized infrastructure with Internet of Things (IoT) networks has transformed the management and optimization of building energy consumption. By leveraging IoT-based monitoring systems, stakeholders such as building manag
Externí odkaz:
http://arxiv.org/abs/2411.08888
Autor:
Behrens, Mark, Malin, Connor
We survey the role of Lie algebras in the study of unstable homotopy groups.
Comment: 16 pages
Comment: 16 pages
Externí odkaz:
http://arxiv.org/abs/2410.18330
Autor:
Dorrell, Will, Hsu, Kyle, Hollingsworth, Luke, Lee, Jin Hwa, Wu, Jiajun, Finn, Chelsea, Latham, Peter E, Behrens, Tim EJ, Whittington, James CR
Why do biological and artificial neurons sometimes modularise, each encoding a single meaningful variable, and sometimes entangle their representation of many variables? In this work, we develop a theory of when biologically inspired representations
Externí odkaz:
http://arxiv.org/abs/2410.06232
Autor:
Vanc, Petr, Franzese, Giovanni, Behrens, Jan Kristof, Della Santina, Cosimo, Stepanova, Karla, Kober, Jens
Learning from demonstration is a promising way of teaching robots new skills. However, a central problem when executing acquired skills is to recognize risks and failures. This is essential since the demonstrations usually cover only a few mostly suc
Externí odkaz:
http://arxiv.org/abs/2409.20173
Autor:
Behrens, Erica, Mangum, Jeffrey G., Viti, Serena, Holdship, Jonathan, Huang, Ko-Yun, Bouvier, Mathilde, Butterworth, Joshua, Eibensteiner, Cosima, Harada, Nanase, Martin, Sergio, Sakamoto, Kazushi, Muller, Sebastien, Tanaka, Kunihiko, Colzi, Laura, Henkel, Christian, Meier, David S., Rivilla, Victor M., van der Werf, Paul P.
We use a neural network model and ALMA observations of HCN and HNC to constrain the physical conditions, most notably the cosmic-ray ionization rate (CRIR, zeta), in the Central Molecular Zone (CMZ) of the starburst galaxy NGC 253. Using output from
Externí odkaz:
http://arxiv.org/abs/2409.13821
Connected Autonomous Vehicles have great potential to improve automobile safety and traffic flow, especially in cooperative applications where perception data is shared between vehicles. However, this cooperation must be secured from malicious intent
Externí odkaz:
http://arxiv.org/abs/2409.02863
Autor:
Neidlinger, Peter, Nahhas, Omar S. M. El, Muti, Hannah Sophie, Lenz, Tim, Hoffmeister, Michael, Brenner, Hermann, van Treeck, Marko, Langer, Rupert, Dislich, Bastian, Behrens, Hans Michael, Röcken, Christoph, Foersch, Sebastian, Truhn, Daniel, Marra, Antonio, Saldanha, Oliver Lester, Kather, Jakob Nikolas
Advancements in artificial intelligence have driven the development of numerous pathology foundation models capable of extracting clinically relevant information. However, there is currently limited literature independently evaluating these foundatio
Externí odkaz:
http://arxiv.org/abs/2408.15823
Autor:
Riedel, Evamaria O., de la Rosa, Ezequiel, Baran, The Anh, Petzsche, Moritz Hernandez, Baazaoui, Hakim, Yang, Kaiyuan, Robben, David, Seia, Joaquin Oscar, Wiest, Roland, Reyes, Mauricio, Su, Ruisheng, Zimmer, Claus, Boeckh-Behrens, Tobias, Berndt, Maria, Menze, Bjoern, Wiestler, Benedikt, Wegener, Susanne, Kirschke, Jan S.
Stroke remains a leading cause of global morbidity and mortality, placing a heavy socioeconomic burden. Over the past decade, advances in endovascular reperfusion therapy and the use of CT and MRI imaging for treatment guidance have significantly imp
Externí odkaz:
http://arxiv.org/abs/2408.11142