Zobrazeno 1 - 10
of 11 740
pro vyhledávání: '"Antona, A."'
Autor:
Muratore, F., Milone, A. P., D'Antona, F., Nastasio, E. J., Cordoni, G., Legnardi, M. V., He, C., Ziliotto, T., Dondoglio, E., Bernizzoni, M., Tailo, M., Bortolan, E., Dell'Agli, F., Deng, L., Lagioia, E. P., Li, C., Marino, A. F., Ventura, P.
Publikováno v:
A&A 692, A135 (2024)
Nearly all star clusters younger than ~600 Myr exhibit extended main sequence turn offs and split main sequences (MSs) in their color-magnitude diagrams. Works based on both photometry and spectroscopy have firmly demonstrated that the red MS is comp
Externí odkaz:
http://arxiv.org/abs/2411.02508
Cognitive Architectures are the forefront of the research into developing an artificial cognition. However, they approach the problem from a separated memory and program model of computation. This model of computation poses a fundamental problem: the
Externí odkaz:
http://arxiv.org/abs/2410.07928
Knowledge discovery is key to understand and interpret a dataset, as well as to find the underlying relationships between its components. Unsupervised Cognition is a novel unsupervised learning algorithm that focus on modelling the learned data. This
Externí odkaz:
http://arxiv.org/abs/2409.20064
The Artificial Intelligence field seldom address the development of a fundamental building piece: a framework, methodology or algorithm to automatically build hierarchies of abstractions. This is a key requirement in order to build intelligent behavi
Externí odkaz:
http://arxiv.org/abs/2409.18633
Unsupervised learning methods have a soft inspiration in cognition models. To this day, the most successful unsupervised learning methods revolve around clustering samples in a mathematical space. In this paper we propose a state-of-the-art, primitiv
Externí odkaz:
http://arxiv.org/abs/2409.18624
Autor:
Ali, Gibran, Sullivan, Kaye, Herbers, Eileen, Williams, Vicki, Holley, Dustin, Antona-Makoshi, Jacobo, Kefauver, Kevin
Several scenario-based frameworks exist to aid in vehicle system development and safety assurance. However, there is a need for approaches that combine different types of datasets that offer varying levels of case severity, data richness, and represe
Externí odkaz:
http://arxiv.org/abs/2407.19975
Autor:
Cordoni, Giacomo, Casagrande, Luca, Yu, Jie, Milone, Antonino P., Marino, Anna F., D'Antona, Francesca, Dell'Agli, Flavia, Buder, Sven, Tailo, Marco
The origin of extended main-sequence turn-offs (eMSTO) in star clusters younger than 2 Gyr still challenges our current understanding of stellar evolution. Exploiting data from Gaia Data Release 3 (DR3), we investigate eMSTOs in a large sample of 32
Externí odkaz:
http://arxiv.org/abs/2406.16551
Autor:
Zhao, Yue, D'Antona, Francesca, Milone, Antonino P., Heinke, Craig, Zhao, Jiaqi, Lugger, Phyllis, Cohn, Haldan
Using a 12 ks archival Chandra X-ray Observatory ACIS-S observation on the massive globular cluster (GC) M14, we detect a total of 7 faint X-ray sources within its half-light radius at a 0.5-7 keV depth of $2.5\times 10^{31}\,\mathrm{erg~s^{-1}}$. We
Externí odkaz:
http://arxiv.org/abs/2401.02854
Autor:
D'Antona, F., Vesperini, E., Calura, F., Ventura, P., D'Ercole, A., Caloi, V., Marino, A. F., Milone, A. P., Dell'Agli, F., Tailo, M.
We explore the possibility that the N-rich young proto-galaxy GN-z11 recently observed at z=10.6 by the James Webb Space Telescope is the result of the formation of second generation stars from pristine gas and Asymptotic Giant Branch (AGB) ejecta in
Externí odkaz:
http://arxiv.org/abs/2311.14558
Autor:
Valentina Rocca, Elisa Lo Feudo, Francesca Dinatolo, Serena Marianna Lavano, Anna Bilotta, Rosario Amato, Lucia D’Antona, Francesco Trapasso, Francesco Baudi, Emma Colao, Nicola Perrotti, Francesco Paduano, Rodolfo Iuliano
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 11, Pp 13003-13020 (2024)
Hereditary breast cancer accounts for 5–10% of all cases, with pathogenic variants in BRCA1/2 and other susceptibility genes playing a crucial role. This study elucidates the prevalence and spectrum of germline variants in 13 cancer predisposition
Externí odkaz:
https://doaj.org/article/a80b8401fe1d4c9b82ea515f1013b3a8
