Zobrazeno 1 - 10
of 2 610
pro vyhledávání: '"P. Smolka"'
Autor:
L. Vítková, N. Kazantseva, L. Musilová, P. Smolka, K. Valášková, K. Kocourková, M. Humeník, A. Minařík, P. Humpolíček, A. Mráček, I. Smolková
Publikováno v:
APL Bioengineering, Vol 8, Iss 1, Pp 019901-019901-1 (2024)
Externí odkaz:
https://doaj.org/article/1a303d62d73e43e2a9e8cea711ea3d6f
Autor:
L. Vítková, N. Kazantseva, L. Musilová, P. Smolka, K. Valášková, K. Kocourková, M. Humeník, A. Minařík, P. Humpolíček, A. Mráček, I. Smolková
Publikováno v:
APL Bioengineering, Vol 7, Iss 3, Pp 036113-036113-12 (2023)
Magneto-responsive soft hydrogels are used for a number of biomedical applications, e.g., magnetic hyperthermia, drug delivery, tissue engineering, and neuromodulation. In this work, this type of hydrogel has been fabricated from hyaluronan (HA) fill
Externí odkaz:
https://doaj.org/article/985abe2fb3bd4268806d879eebcbc768
Autor:
Jezierski, Jacek, Smołka, Tomasz
We introduce and analyze quasi-local mass using Hamiltonian methods. It is based on multipole decomposition for surfaces that are topological spheres. Based on the above model, tests were performed for Kerr spacetime for two arbitrary choices of surf
Externí odkaz:
http://arxiv.org/abs/2408.14978
Autor:
Hemforth, Lisa, Couvy-Duchesne, Baptiste, De Matos, Kevin, Brianceau, Camille, Joulot, Matthieu, Banaschewski, Tobias, Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Artiges, Eric, Papadopoulos, Dimitri, Lemaitre, Herve, Paus, Tomas, Poustka, Luise, Hohmann, Sarah, Holz, Nathalie, Fröhner, Juliane H., Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Büchel, Christian, Poline, JB, Itterman, Bernd, Frouin, Vincent, Martin, Alexandre, group, IMAGEN study, Cury, Claire, Colliot, Olivier
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% of the general population. IHI can be visually assessed on coronal slices of T1 weighted MR imag
Externí odkaz:
http://arxiv.org/abs/2408.02496
In this paper, we study some of the properties of the $G \to 0$ limit of the Kerr-Newman solution of Einstein-Maxwell equations. Noting Carter's observation of the near equality between the $g = 2$ gyromagnetic ratio in the Kerr-Newman solution and t
Externí odkaz:
http://arxiv.org/abs/2405.12602
Autor:
Moeller, Mark, Jacobs, Jules, Belanger, Olivier Savary, Darais, David, Schlesinger, Cole, Smolka, Steffen, Foster, Nate, Silva, Alexandra
We develop new data structures and algorithms for checking verification queries in NetKAT, a domain-specific language for specifying the behavior of network data planes. Our results extend the techniques obtained in prior work on symbolic automata an
Externí odkaz:
http://arxiv.org/abs/2404.04760
We construct electromagnetic field with non-trivial topological properties on de Sitter background. The field is closely related with Hopf fibration. We analyze energy, angular momentum and topological charges for this solution. The paper is a genera
Externí odkaz:
http://arxiv.org/abs/2403.14245
Autor:
Smolka, Sven, Giesen, Jens-Rene, Winkler, Pascal, Draissi, Oussama, Davi, Lucas, Karame, Ghassan, Pohl, Klaus
Solana has quickly emerged as a popular platform for building decentralized applications (DApps), such as marketplaces for non-fungible tokens (NFTs). A key reason for its success are Solana's low transaction fees and high performance, which is achie
Externí odkaz:
http://arxiv.org/abs/2309.03006
Autor:
Chruściel, Piotr T., Smołka, Tomasz
We analyse the Noether charges for scalar and Maxwell fields on light cones on a de Sitter, Minkowski, and anti-de Sitter backgrounds. Somewhat surprisingly, under natural asymptotic conditions all charges for the Maxwell fields on both the de Sitter
Externí odkaz:
http://arxiv.org/abs/2305.12980
We present ResilienC, a framework for resilient control of Cyber-Physical Systems subject to STL-based requirements. ResilienC utilizes a recently developed formalism for specifying CPS resiliency in terms of sets of $(\mathit{rec},\mathit{dur})$ rea
Externí odkaz:
http://arxiv.org/abs/2211.02794