Zobrazeno 1 - 10
of 3 323
pro vyhledávání: '"A Giovagnoli"'
Direct3{\gamma}PET is a novel, comprehensive pipelinefor direct estimation of emission points in three-gamma (3-{\gamma})positron emission tomography (PET) imaging using \b{eta}+ and {\gamma}emitters. This approach addresses limitations in existing d
Externí odkaz:
http://arxiv.org/abs/2407.18337
In this paper, we prove that flat free boundaries of solutions to inhomogeneous one-phase Stefan problem are $C^{1,\alpha}$.
Externí odkaz:
http://arxiv.org/abs/2404.07535
Publikováno v:
Umanistica Digitale, Iss 17, Pp 143-164 (2024)
Taking into account the considerable impact that medical information has on the lives of human beings, it is crucial that medical language is correctly adapted to the needs of patients. This study aims to observe how communication between doctor and
Externí odkaz:
https://doaj.org/article/339576ec187a4c7f9e407f17c5c5d252
The notion of functional dependencies (FDs) can be used by data scientists and domain experts to confront background knowledge against data. To overcome the classical, too restrictive, satisfaction of FDs, it is possible to replace equality with more
Externí odkaz:
http://arxiv.org/abs/2306.09006
Autor:
Kölle, Michael, Giovagnoli, Alessandro, Stein, Jonas, Mansky, Maximilian Balthasar, Hager, Julian, Rohe, Tobias, Müller, Robert, Linnhoff-Popien, Claudia
Inspired by the remarkable success of artificial neural networks across a broad spectrum of AI tasks, variational quantum circuits (VQCs) have recently seen an upsurge in quantum machine learning applications. The promising outcomes shown by VQCs, su
Externí odkaz:
http://arxiv.org/abs/2306.05776
Quantum Machine Learning (QML) is a recent and rapidly evolving field where the theoretical framework and logic of quantum mechanics are employed to solve machine learning tasks. Various techniques with different levels of quantum-classical hybridiza
Externí odkaz:
http://arxiv.org/abs/2304.06981
Autor:
Kölle, Michael, Giovagnoli, Alessandro, Stein, Jonas, Mansky, Maximilian Balthasar, Hager, Julian, Linnhoff-Popien, Claudia
In recent years, quantum machine learning has seen a substantial increase in the use of variational quantum circuits (VQCs). VQCs are inspired by artificial neural networks, which achieve extraordinary performance in a wide range of AI tasks as massi
Externí odkaz:
http://arxiv.org/abs/2212.14807
Publikováno v:
Frontiers in Drug Delivery, Vol 4 (2024)
This review article explores the potential of engineering antigen-presenting cells (APCs) for the immunotherapy of autoimmune diseases. It discusses various strategies for modifying APCs to induce antigen-specific tolerance, thereby mitigating autoim
Externí odkaz:
https://doaj.org/article/615c44efc8eb465d912e8ef15cdf2aaf
Autor:
Teresa Zelante, Giuseppe Paolicelli, Francesca Fallarino, Marco Gargaro, Gianluca Vascelli, Marco De Zuani, Jan Fric, Petra Laznickova, Marcela Hortova Kohoutkova, Antonio Macchiarulo, Daniela Dolciami, Giuseppe Pieraccini, Lorenzo Gaetani, Giulia Scalisi, Caterina Trevisan, Barbara Frossi, Carlo Pucillo, Antonella De Luca, Emilia Nunzi, Roberta Spaccapelo, Marilena Pariano, Monica Borghi, Francesca Boscaro, Riccardo Romoli, Andrea Mancini, Lucia Gentili, Giorgia Renga, Claudio Costantini, Matteo Puccetti, Stefano Giovagnoli, Maurizio Ricci, Martina Antonini, Paolo Calabresi, Paolo Puccetti, Massimiliano Di Filippo, Luigina Romani
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Multiple sclerosis is a debilitating autoimmune disease, characterized by chronic inflammation of the central nervous system. While the significance of the gut microbiome on multiple sclerosis pathogenesis is established, the underlining mec
Externí odkaz:
https://doaj.org/article/ef3dd28764624aada7153b8839b12acc
Autor:
Giada D’Altri, Lamyea Yeasmin, Valentina Di Matteo, Stefano Scurti, Angelica Giovagnoli, Maria Francesca Di Filippo, Isacco Gualandi, Maria Cristina Cassani, Daniele Caretti, Silvia Panzavolta, Erika Scavetta, Mariangela Rea, Barbara Ballarin
Publikováno v:
ACS Omega, Vol 9, Iss 6, Pp 6391-6402 (2024)
Externí odkaz:
https://doaj.org/article/07827d3b5cf246be80256671bb374346