Zobrazeno 1 - 10
of 14 354
pro vyhledávání: '"Raffaello A"'
Autor:
Gianluca Raffaello Damiani, Miriam Dellino, Eliano Cascardi, He Xuamin, Daniele Di Gennaro, Antonella Vimercati, Amerigo Vitagliano, Antonio Malvasi, Vera loizzi, Cristiana Paniga, Laura Lanteri, Raffaello Alfonso, Ettore Cicinelli, Antonio Pellegrino
Publikováno v:
European Journal of Obstetrics & Gynecology and Reproductive Biology: X, Vol 19, Iss , Pp 100220- (2023)
Uterine arteriovenous malformations (AVMs) is a rare but high-risk cause of uterine bleeding. The clinical management of this condition is challenging, as the ultrasound picture can sometimes be unambiguously interpreted. Moreover, in the puerperium
Externí odkaz:
https://doaj.org/article/e40d035b5cb4452f8226c8cc57e52deb
Autor:
Pierpaolo Nicolì, Gianluca Raffaello Damiani, Maria Gaetani, Miriam Dellino, Amerigo Vitagliano, Antonio Malvasi, Gerardo Cazzato, Eliano Cascardi, Andrea Marzullo, Raffaello Alfonso, Ettore Cicinelli, Antonella Vimercati
Publikováno v:
Diagnostics, Vol 13, Iss 19, p 3109 (2023)
The Twin Reversed Arterial Perfusion (TRAP) Sequence is an extremely rare complication of monochorionic twin pregnancies, with one severely malformed twin (the “acardiac”) lacking autonomous placental blood supply and being perfused by the co-twi
Externí odkaz:
https://doaj.org/article/e759db8b922d4ce7bd1823e17c70c547
Autor:
Raffaello Ares DORO
Publikováno v:
Diacronie. Studi di Storia Contemporanea, Vol 14, Iss 1, Pp 154-175 (2022)
The article aims to investigate the role of Italian television in the representation of the events of the 1992 crisis. The 1992 «media event» allows us to reconstruct the imaginary created by television in the public opinion; through audiovisual so
Externí odkaz:
https://doaj.org/article/66587e6ddef04ec091f347e3222e7669
Autor:
Mattiotti, Giovanni, Micheloni, Manuel, Petrolli, Lorenzo, Tubiana, Luca, Pasquali, Samuela, Potestio, Raffaello
The cowpea chlorotic mottle virus (CCMV) has emerged as an exemplary model system to assess the balance between electrostatic and topological features of ssRNA viruses, specifically in the context of the viral self-assembly process. Yet, in spite of
Externí odkaz:
http://arxiv.org/abs/2408.03662
The properties of energy transfer in the kinetic range of plasma turbulence have fundamental implications on the turbulent heating of space and astrophysical plasmas. It was recently suggested that magnetic reconnection may be responsible for driving
Externí odkaz:
http://arxiv.org/abs/2408.02505
We present a nonlinear non-convex model predictive control approach to solving a real-world labyrinth game. We introduce adaptive nonlinear constraints, representing the non-convex obstacles within the labyrinth. Our method splits the computation-hea
Externí odkaz:
http://arxiv.org/abs/2406.08650
Federated Learning (FL) methods often struggle in highly statistically heterogeneous settings. Indeed, non-IID data distributions cause client drift and biased local solutions, particularly pronounced in the final classification layer, negatively imp
Externí odkaz:
http://arxiv.org/abs/2406.01116
The analysis of complex systems such as neural networks is made particularly difficult by the overwhelming number of their interacting components. In the absence of prior knowledge, identifying a small but informative subset of network nodes on which
Externí odkaz:
http://arxiv.org/abs/2405.14531
Autor:
Giulini, Marco, Fiorentini, Raffaele, Tubiana, Luca, Potestio, Raffaello, Menichetti, Roberto
Bottom-up coarse-grained (CG) models proved to be essential to complement and sometimes even replace all-atom representations of soft matter systems and biological macromolecules. The development of low-resolution models takes the moves from the redu
Externí odkaz:
http://arxiv.org/abs/2403.08097
Autor:
Maracani, Andrea, Camoriano, Raffaello, Maiettini, Elisa, Talon, Davide, Rosasco, Lorenzo, Natale, Lorenzo
This study provides a comprehensive benchmark framework for Source-Free Unsupervised Domain Adaptation (SF-UDA) in image classification, aiming to achieve a rigorous empirical understanding of the complex relationships between multiple key design fac
Externí odkaz:
http://arxiv.org/abs/2402.16090