Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Eleonora BILOTTA"'
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
Neurodevelopmental Disorders (NDDs) represent a significant healthcare and economic burden for families and society. Technology, including AI and digital technologies, offers potential solutions for the assessment, monitoring, and treatment of NDDs.
Externí odkaz:
https://doaj.org/article/f33a1dab391742fd8680702b4331e9fe
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-31 (2022)
Abstract Understanding the relationship between brain architecture and brain function is a central issue in neuroscience. We modeled realistic spatio-temporal patterns of brain activity on a human connectome with a Boolean networks model with the aim
Externí odkaz:
https://doaj.org/article/e50c018265af4dae8ff8550e68a2943b
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Covid-19 epidemic dramatically relaunched the importance of mathematical modelling in supporting governments decisions to slow down the disease propagation. On the other hand, it remains a challenging task for mathematical modelling. The int
Externí odkaz:
https://doaj.org/article/682b66f206d345bcb3cd0d0ad2e3d951
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
An educational robotics lab has been planned for undergraduate students in an Electronic Engineering degree, using the Project Based Learning (PBL) approach and the NAO robot. Students worked in a research context, with the aim of making the function
Externí odkaz:
https://doaj.org/article/55f498b73fa54889821a418d99b7201d
Autor:
Lorella GABRIELE, Francesca BERTACCHINI, Assunta TAVERNISE, Leticia VACA-CÁRDENAS, Pietro PANTANO, Eleonora BILOTTA
Publikováno v:
Informatics in Education, Vol 18, Iss 1, Pp 69-104 (2019)
In the last years, a growing trend in different educational contexts focused on Computational Thinking (CT) skills acquisition for both in-service teachers and students. But very low attention has been paid to pre-service teachers' education in regar
Externí odkaz:
https://doaj.org/article/b4b2c1e816ca4d55804945a1a09030b6
Autor:
Mauro Murgia, Serena Mingolo, Valter Prpic, Fabrizio Sors, Ilaria Santoro, Eleonora Bilotta, Tiziano Agostini
Publikováno v:
Frontiers in Psychology, Vol 11 (2020)
University students are the most employed category of participants in cognitive research. However, researchers cannot fully control what their participants do the night before the experiments (e.g., consumption of alcohol) and, unless the experiment
Externí odkaz:
https://doaj.org/article/994db17cc8c14de094590782f8bfb3ee
Publikováno v:
PLoS ONE, Vol 15, Iss 10, p e0240777 (2020)
The behaviour of SARS-CoV-2 virus is certainly one of the most challenging in contemporary world. Although the mathematical modelling of the virus has made relevant contributions, the unpredictable behaviour of the virus is still not fully understood
Externí odkaz:
https://doaj.org/article/25cf77ec4bc14276be13bff7758ac7e9
Publikováno v:
Italian Journal of Educational Technology (2019)
Il pensiero computazionale (CT) è una competenza chiave del 21° secolo considerata fondamentale per tutti gli individui, in quanto favorisce l’acquisizione di nuovi modi di pensare, comunicare ed esprimere idee, nonché per partecipare alla vita
Externí odkaz:
https://doaj.org/article/2612ce31e6524ca69288d386b4fbe0dc
Autor:
Eleonora Bilotta, Francesco Gargano, Valeria Giunta, Maria Carmela Lombardo, Pietro Pantano, Paolo Falsaperla
Publikováno v:
Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, Vol 96, Iss S3, p A9 (2018)
We present a theoretical and numerical study of the bifurcations of the stationary patterns supported by a chemotactic model of Multiple Sclerosis (MS). We derive the normal forms of the dynamics which allows to predict the appearance and stabilizati
Externí odkaz:
https://doaj.org/article/f4cf3a36f5164ed696ec89a2bac9e944
Autor:
Salvatore Nigro, Antonio Cerasa, Giancarlo Zito, Paolo Perrotta, Francesco Chiaravalloti, Giulia Donzuso, Franceso Fera, Eleonora Bilotta, Pietro Pantano, Aldo Quattrone, Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e85618 (2014)
This paper describes a novel method to automatically segment the human brainstem into midbrain and pons, called labs: Landmark-based Automated Brainstem Segmentation. LABS processes high-resolution structural magnetic resonance images (MRIs) accordin
Externí odkaz:
https://doaj.org/article/e097d110ff6f44c9b01835d79fbdd399