Zobrazeno 1 - 10
of 23 125
pro vyhledávání: '"Péter L"'
Autor:
Péter Bacsur, Tamás Resál, Patrícia Sarlós, Ákos Iliás, Liza Dalma Sümegi, Diána Kata, Anett Dávid, Bernadett Farkas, Emese Ivány, Anita Bálint, Zsófia Bősze, Anna Fábián, Renáta Bor, Zoltán Szepes, Waqqas Afif, Talat Bessissow, Klaudia Farkas, Péter L. Lakatos, Tamás Molnár
Publikováno v:
Therapeutic Advances in Gastroenterology, Vol 17 (2024)
Background: The usability of subcutaneous vedolizumab (s.c. VDZ) treatment in inflammatory bowel diseases (IBD; ulcerative colitis (UC), Crohn’s disease (CD)) has been proven via clinical trials while real-world data collection is ongoing. Objectiv
Externí odkaz:
https://doaj.org/article/c22a45855e894d3eb5843d9997f140aa
Publikováno v:
Mathematics, Vol 12, Iss 22, p 3518 (2024)
The recently introduced model in S. R. Kharel et al.’s study [Degree-preserving network growth. Nature Physics 2022, 18, 100–106] uses matchings to insert new vertices of prescribed degrees into the current graph of an ever-growing graph sequence
Externí odkaz:
https://doaj.org/article/da83f0f15d924152a329326e65ffe870
Publikováno v:
Ticks and Tick-Borne Diseases, Vol 15, Iss 1, Pp 102280- (2024)
Four Ixodes species represent the subgenus Scaphixodes Schulze, 1941 in Europe, but none of them were reported to be compared in a molecular-phylogenetic context. This study compensates for this lack of data. A tick larva, morphologically identified
Externí odkaz:
https://doaj.org/article/5e17651a42d44ac1aeeee9920200aa82
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-10 (2022)
Mean-field approximations in complex networks, while useful, often vary in accuracy and can be particularly problematic in the case of dynamical correlations. Here, the authors report the use of approximate lumping to derive low-dimensional mean-fiel
Externí odkaz:
https://doaj.org/article/2110784a45c348e999d395be8d64d8ab
We propose models of Astrophysical Black holes (ABHs) without event horizons (EHs), as a more viable explanation for the long-term quenching phenomenon in galaxies. At the same time, the short-term quenching is explained here in terms of an efficient
Externí odkaz:
http://arxiv.org/abs/2501.00899
Recent advances have revealed that the rate of convergence of the expected test error in deep supervised learning decays as a function of the intrinsic dimension and not the dimension $d$ of the input space. Existing literature defines this intrinsic
Externí odkaz:
http://arxiv.org/abs/2412.09779
Autor:
Guo, Peter L., Lin, Zhuowei
This paper investigates the number of supports of the Schubert polynomial $\mathfrak{S}_w(x)$ indexed by a permutation $w$. This number also equals the number of lattice points in the Newton polytope of $\mathfrak{S}_w(x)$. We establish a lower bound
Externí odkaz:
http://arxiv.org/abs/2412.02932
In this work, we developed a rigorous procedure for mapping the exact non-Markovian propagator to the generalized Lindblad form. It allows us to extract the negative decay rate that is the indicator of the non-Markovian effect. As a consequence, we c
Externí odkaz:
http://arxiv.org/abs/2412.00450
The simulation of non-Markovian quantum dynamics plays an important role in the understanding of charge and exciton dynamics in the condensed phase environment, and yet it remains computationally expensive on classical computers. We have developed a
Externí odkaz:
http://arxiv.org/abs/2412.00407
In this work, we developed an efficient quantum algorithm for the simulation of non-Markovian quantum dynamics, based on the Feynman path integral formulation. The algorithm scales polynomially with the number of native gates and the number of qubits
Externí odkaz:
http://arxiv.org/abs/2411.18168