Zobrazeno 1 - 10
of 1 931
pro vyhledávání: '"Fallani A"'
Autor:
Zhou, T. -W., Beller, T., Masini, G., Parravicini, J., Cappellini, G., Repellin, C., Giamarchi, T., Catani, J., Filippone, M., Fallani, L.
The Hall effect has a paramount role in a wide range of disciplines, from applied sciences to the fundamental exploration of novel topological phases of matter. In the solid state, this effect describes the emergence of a voltage drop perpendicular t
Externí odkaz:
http://arxiv.org/abs/2411.09744
Autor:
Fallani, Alessio, Nugmanov, Ramil, Arjona-Medina, Jose, Wegner, Jörg Kurt, Tkatchenko, Alexandre, Chernichenko, Kostiantyn
We evaluate the impact of pretraining Graph Transformer architectures on atom-level quantum-mechanical features for the modeling of absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of drug-like compounds. We compare th
Externí odkaz:
http://arxiv.org/abs/2410.08024
The exploration of brain-heart interactions within various paradigms, including affective computing, human-computer interfaces, and sensorimotor evaluation, stands as a significant milestone in biomarker development and neuroscientific research. A ra
Externí odkaz:
http://arxiv.org/abs/2409.15835
Autor:
Longhena, Alice, Guillemaud, Martin, Fallani, Fabrizio De Vico, Migliaccio, Raffaella Lara, Chavez, Mario
Graph theoretical methods have proven valuable for investigating alterations in both anatomical and functional brain connectivity networks during Alzheimer's disease (AD). Recent studies suggest that representing brain networks in a suitable geometri
Externí odkaz:
http://arxiv.org/abs/2407.16589
Brain-computer interfaces (BCIs) enable users to interact with the external world using brain activity. Despite their potential in neuroscience and industry, BCI performance remains inconsistent in noninvasive applications, often prioritizing algorit
Externí odkaz:
http://arxiv.org/abs/2407.11617
Autor:
Cattai, Tiziana, Scarano, Gaetano, Corsi, Marie-Constance, Fallani, Fabrizio De Vico, Colonnese, Stefania
This paper proposes a multilayer graph model for the community detection from multiple observations. This is a very frequent situation, when different estimators are applied to infer graph edges from signals at its nodes, or when different signal mea
Externí odkaz:
http://arxiv.org/abs/2406.15142
Network visualization is essential for many scientific, societal, technological and artistic domains. The primary goal is to highlight patterns out of nodes interconnected by edges that are easy to understand, facilitate communication and support dec
Externí odkaz:
http://arxiv.org/abs/2406.10717
Autor:
Messaoud, Remy Ben, Du, Vincent Le, Kaufmann, Brigitte Charlotte, Couvy-Duchesne, Baptiste, Migliaccio, Lara, Bartolomeo, Paolo, Chavez, Mario, Fallani, Fabrizio De Vico
Network controllability is a powerful tool to study causal relationships in complex systems and identify the driver nodes for steering the network dynamics into desired states. However, due to ill-posed conditions, results become unreliable when the
Externí odkaz:
http://arxiv.org/abs/2311.11132
Brain-Computer Interface (BCI) systems allow users to perform actions by translating their brain activity into commands. Such systems usually need a training phase, consisting in training a classification algorithm to discriminate between mental stat
Externí odkaz:
http://arxiv.org/abs/2310.02948
Autor:
Francesco Lapi, Ettore Marconi, Elettra Fallani, Marco Salvatore, Maura Cambiaggi, Alessandro Rossi, Claudio Cricelli
Publikováno v:
Expert Review of Vaccines, Vol 23, Iss 1, Pp 8-15 (2024)
ABSTRACTBackground Delays in influenza vaccine delivery and administration can hinder vaccine coverage and protection. This study examines the differentials in distributing and administering adjuvanted trivalent (aTIV) and quadrivalent influenza vacc
Externí odkaz:
https://doaj.org/article/752bd9d680fb4755a65519db9ffbb1b1
