Zobrazeno 1 - 10
of 129
pro vyhledávání: '"799"'
Publikováno v:
Chemical Physics Letters 799 (2022) 139642
Following the first principles the analytic Born-Oppenheimer (BO) potential curve for the ground state $X^1\Sigma^+$ of the molecule ClF is proposed for whole range of internuclear distances $R \in [0,\infty)$. It is based on matching the perturbatio
Externí odkaz:
http://arxiv.org/abs/2202.10666
Bj\"orner and Ekedahl [Ann. of Math. (2), 170.2(2009), pp. 799--817] pioneered the study of length-counting sequences associated with parabolic lower Bruhat intervals in crystallographic Coxeter groups. In this paper, we study the asymptotic behavior
Externí odkaz:
http://arxiv.org/abs/2311.17980
Autor:
Vessella, Sergio
These Notes are intended for graduate or undergraduate students who have familiarity with Lebesgue measure theory, partial differential equations, and functional analysis. The main topics covered in this work are the study of the Cauchy problem and u
Externí odkaz:
http://arxiv.org/abs/2305.04765
Autor:
Lee, Su Houng
Publikováno v:
Symmetry 2023, 15(4), 799
The masses of hadrons in the vacuum, where the chiral symmetry is restored, and in the medium are in general different even when the changes in the order parameters of chiral symmetry are the same. Here, we first discuss the relation between the hadr
Externí odkaz:
http://arxiv.org/abs/2303.14415
Autor:
Ibarra, Oscar H., McQuillan, Ian
Publikováno v:
Theoretical Computer Science 799, 71--93 (2019)
We look at nondeterministic finite automata augmented with multiple reversal-bounded counters where, during an accepting computation, the behavior of the counters is specified by some fixed pattern. These patterns can serve as a useful "bridge" to ot
Externí odkaz:
http://arxiv.org/abs/2212.03791
Autor:
Prazuch, Wojciech, Suwalska, Aleksandra, Socha, Marek, Tobiasz, Joanna, Foszner, Pawel, Jaroszewicz, Jerzy, Gruszczynska, Katarzyna, Sliwinska, Magdalena, Walecki, Jerzy, Popiela, Tadeusz, Przybylski, Grzegorz, Cieszanowski, Andrzej, Nowak, Mateusz, Pawlowska, Malgorzata, Flisiak, Robert, Simon, Krzysztof, Zapolska, Gabriela, Gizycka, Barbara, Szurowska, Edyta, Group, POLCOVID Study, Marczyk, Michal, Polanska, Joanna
Due to the large accumulation of patients requiring hospitalization, the COVID-19 pandemic disease caused a high overload of health systems, even in developed countries. Deep learning techniques based on medical imaging data can help in the faster de
Externí odkaz:
http://arxiv.org/abs/2210.05440
Autor:
Clementini, G., Ripepi, V., Garofalo, A., Molinaro, R., Muraveva, T., Leccia, S., Rimoldini, L., Holl, B., de Fombelle, G. Jevardat, Sartoretti, P., Marchal, O., Audard, M., Nienartowicz, K., Andrae, R., Marconi, M., Szabados, L., Evans, D. W., Lecoeur-Taibi, I., Mowlavi, N., Musella, I., Eyer, L.
Publikováno v:
A&A 674, A18 (2023)
Gaia DR3 publishes a catalogue of full-sky RR Lyrae stars (RRLs) observed during the initial 34 months of science operations, that were processed through the Specific Object Study (SOS) pipeline for Cepheids and RRLs (SOS Cep&RRL) observed by Gaia. T
Externí odkaz:
http://arxiv.org/abs/2206.06278
Publikováno v:
Eur. Phys. J. C 82, 799 (2022)
The violation of Leggett-Garg inequalities tested the quantumness of neutrino oscillations (NOs) across macroscopic distances. The quantumness can be quantified by using the tools of the quantum resource theories. Recently, a new genuine tripartite e
Externí odkaz:
http://arxiv.org/abs/2205.11058
Publikováno v:
IEEE Robotics and Automation Letters 8 (2023) 792 - 799
Visual place recognition techniques based on deep learning, which have imposed themselves as the state-of-the-art in recent years, do not generalize well to environments visually different from the training set. Thus, to achieve top performance, it i
Externí odkaz:
http://arxiv.org/abs/2203.04446
Publikováno v:
Symmetry 2022, 14, 799
The study of correlation effects in topological phases of matter can benefit from a multidisciplinary approach that combines techniques drawn from condensed matter, high-energy physics and quantum information science. In this work, we exploit these c
Externí odkaz:
http://arxiv.org/abs/2203.03434