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pro vyhledávání: '"Cocchi, P."'
Akademický článek
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Akademický článek
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Autor:
Gian Luigi Mariottini, Nicolò Benfante, Maria Grazia Bridelli, Francesco Cappello, Caterina Faggio, Concetta Messina, Antonella Pantaleo, Emma Rabino Massa
Publikováno v:
Journal of Biological Research (2022)
Prof. Massimo Cocchi, one of the most experienced scientists in nutritional biochemistry, past and honorary President of the Italian Society for Experimental Biology (Società Italiana di Biologia Sperimentale), passed away on May 19th, 2022, in his
Externí odkaz:
https://doaj.org/article/975e1066d131496cb19742f6afcd63e1
Kniha
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Autor:
Filippozzi, Ulderico, Kimbell, Graham, Pizzirani, Davide, Walker, Siobhan McKeown, Cocchi, Chiara, Gariglio, Stefano, Gabay, Marc, Wiedmann, Steffen, Caviglia, Andrea D.
We study the superconducting critical fields of two-dimensional electron systems at (111)$\mathrm{LaAlO_3/KTaO_3}$ interfaces as a function of electrostatic back-gating. Our work reveals inplane critical fields of unprecedented magnitudes at oxide in
Externí odkaz:
http://arxiv.org/abs/2411.05668
Autor:
Ursini, Francesco, Gnarini, Andrea, Capitanio, Fiamma, Bobrikova, Anna, Cocchi, Massimo, Di Marco, Alessandro, Fabiani, Sergio, Farinelli, Ruben, La Monaca, Fabio, Rankin, John, Saade, Mary Lynne, Poutanen, Juri
Low-mass X-ray binaries hosting weakly magnetized neutron stars (NS-LMXBs) are among the brightest sources in the X-ray sky. Since 2021, the Imaging X-ray Polarimetry Explorer (IXPE) has provided new measurements of the X-ray polarization of these so
Externí odkaz:
http://arxiv.org/abs/2409.07161
Autor:
Ursini, F., Gnarini, A., Bianchi, S., Bobrikova, A., Capitanio, F., Cocchi, M., Fabiani, S., Farinelli, R., Kaaret, P., Matt, G., Ng, M., Poutanen, J., Ravi, S., Tarana, A.
We present simultaneous X-ray polarimetric and spectral observations of the bright atoll source Ser~X-1 carried out with the Imaging X-ray Polarimetry Explorer (IXPE), NICER, and NuSTAR. We obtain an upper limit of 2% (99% confidence level) on the po
Externí odkaz:
http://arxiv.org/abs/2408.16713
Discerning between authentic content and that generated by advanced AI methods has become increasingly challenging. While previous research primarily addresses the detection of fake faces, the identification of generated natural images has only recen
Externí odkaz:
http://arxiv.org/abs/2407.20337
Relational reasoning refers to the ability to infer and understand the relations between multiple entities. In humans, this ability underpins many higher cognitive functions, such as problem solving and decision-making, and has been reliably linked t
Externí odkaz:
http://arxiv.org/abs/2406.08272
Autor:
Caffagni, Davide, Cocchi, Federico, Moratelli, Nicholas, Sarto, Sara, Cornia, Marcella, Baraldi, Lorenzo, Cucchiara, Rita
Multimodal LLMs are the natural evolution of LLMs, and enlarge their capabilities so as to work beyond the pure textual modality. As research is being carried out to design novel architectures and vision-and-language adapters, in this paper we concen
Externí odkaz:
http://arxiv.org/abs/2404.15406