Zobrazeno 1 - 10
of 3 257
pro vyhledávání: '"De Crescenzo A"'
Autor:
Simone Zoletto, Marco Pizzi, De Crescenzo Andrea, Fabio D’amore, Alberto Friziero, Irene Bertozzi, Giuseppe Carli, Barbara Famengo, Ilaria Nichele, Nicola Vianelli, Giuseppe Auteri, Elena Sabattini, Angelo Paolo Dei Tos, Livio Trentin, Fabrizio Vianello
Publikováno v:
HemaSphere, Vol 7, p e05638b6 (2023)
Externí odkaz:
https://doaj.org/article/813d515e71f243f1bf45dfacdd55d78c
We study the benefit of modern simulation-based inference to constrain particle interactions at the LHC. We explore ways to incorporate known physics structures into likelihood estimation, specifically morphing-aware estimation and derivative learnin
Externí odkaz:
http://arxiv.org/abs/2410.07315
We study the optimal control of mean-field systems with heterogeneous and asymmetric interactions. This leads to considering a family of controlled Brownian diffusion processes with dynamics depending on the whole collection of marginal probability l
Externí odkaz:
http://arxiv.org/abs/2407.18635
Autor:
Marcellini, Salvatore, D'Angelo, Simone, De Crescenzo, Alessandro, Marolla, Michele, Lippiello, Vincenzo, Siciliano, Bruno
This letter investigates the problem of controlling an aerial manipulator, composed of an omnidirectional tilting drone equipped with a five-degrees-of-freedom robotic arm. The robot has to interact with the environment to inspect structures and perf
Externí odkaz:
http://arxiv.org/abs/2407.03003
We address a system of weakly interacting particles where the heterogenous connections among the particles are described by a graph sequence and the number of particles grows to infinity. Our results extend the existing law of large numbers and propa
Externí odkaz:
http://arxiv.org/abs/2402.08628
Publikováno v:
JSES Reviews, Reports, and Techniques, Vol 4, Iss 3, Pp 476-484 (2024)
Externí odkaz:
https://doaj.org/article/48ddb9e65f684964882b31d6fed7a802
Publikováno v:
JSES International, Vol 8, Iss 6, Pp 1322- (2024)
Externí odkaz:
https://doaj.org/article/1fe73137135f46dab622c8a2a17697da
Autor:
Riccardo D’Ambrosi, Enrico Bellato, Gianluca Bullitta, Antonio Benedetto Cecere, Katia Corona, Angelo De Crescenzo, Valentina Fogliata, Gian Mario Micheloni, Maristella Francesca Saccomanno, Fabrizio Vitullo, Andrea Celli, SICSeG (Italian Society of Shoulder, Elbow Surgery) Research Committee
Publikováno v:
Journal of Orthopaedics and Traumatology, Vol 25, Iss 1, Pp 1-8 (2024)
Abstract Purpose This study aimed to assess the validity and informational value of TikTok content about epicondylitis. The hypothesis tested herein was that TikTok video content would not provide adequate and valid information. Methods The term “e
Externí odkaz:
https://doaj.org/article/1fe0571c44754d728aa7f190bd4083c5
Autor:
Shifu Aggarwal, Vijay Singh, Arijit Chakraborty, Sujin Cha, Alexandra Dimitriou, Claire de Crescenzo, Olivia Izikson, Lucy Yu, Roberto Plebani, A. Aria Tzika, Laurence G. Rahme
Publikováno v:
mBio, Vol 15, Iss 7 (2024)
ABSTRACT Sepsis and chronic infections with Pseudomonas aeruginosa, a leading “ESKAPE” bacterial pathogen, are associated with increased morbidity and mortality and skeletal muscle atrophy. The actions of this pathogen on skeletal muscle remain p
Externí odkaz:
https://doaj.org/article/bf0916bbb6394aaf9f6be9c78ab04a86
Publikováno v:
European Journal of Innovation Management, 2023, Vol. 26, Issue 7, pp. 110-126.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EJIM-02-2022-0095