Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Michele Castelluzzo"'
Autor:
Nicolò Bellarmino, Riccardo Cantoro, Michele Castelluzzo, Raffaele Correale, Giovanni Squillero, Giorgio Bozzini, Francesco Castelletti, Carla Ciricugno, Daniela Dalla Gasperina, Francesco Dentali, Giovanni Poggialini, Piergiorgio Salerno, Stefano Taborelli
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The SARS-CoV-2 coronavirus emerged in 2019 causing a COVID-19 pandemic that resulted in 7 million deaths out of 770 million reported cases over the next 4 years. The global health emergency called for unprecedented efforts to monitor and red
Externí odkaz:
https://doaj.org/article/548decc5a50c455db4f5e85ef092a190
Autor:
Paola Piscopo, Margherita Grasso, Valeria Manzini, Andrea Zeni, Michele Castelluzzo, Francesca Fontana, Giuseppina Talarico, Anna Elisa Castellano, Roberto Rivabene, Alessio Crestini, Giuseppe Bruno, Leonardo Ricci, Michela A. Denti
Publikováno v:
Frontiers in Molecular Neuroscience, Vol 16 (2023)
BackgroundDementia is one of the most common diseases in elderly people and hundreds of thousand new cases per year of Alzheimer’s disease (AD) are estimated. While the recent decade has seen significant advances in the development of novel biomark
Externí odkaz:
https://doaj.org/article/3bfd0ccb99b54fcb963e7d3f3d30f4e7
Publikováno v:
Frontiers in Physiology, Vol 11 (2021)
Physical connections between nodes in a complex network are constrained by limiting factors, such as the cost of establishing links and maintaining them, which can hinder network capability in terms of signal propagation speed and processing power. T
Externí odkaz:
https://doaj.org/article/e171a7934b42467686862be8948276a4
Autor:
Michele Castelluzzo, Alessio Perinelli, Simone Detassis, Michela Alessandra Denti, Leonardo Ricci
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100569- (2020)
The possibility of using microRNA (miRNA) levels as diagnostic and prognostic tools to detect different pathologies requires the implementation of reliable classifiers, whose training and use call for quality control of data corresponding to miRNA ex
Externí odkaz:
https://doaj.org/article/ba4451254fea408c8f68d54705d3b99e
Publikováno v:
2022 IEEE Workshop on Complexity in Engineering (COMPENG).
Publikováno v:
Physical Review E. 104
The statistical analysis of data stemming from dynamical systems, including, but not limited to, time series, routinely relies on the estimation of information theoretical quantities, most notably Shannon entropy. To this purpose, possibly the most w
Publikováno v:
Chaos (Woodbury, N.Y.). 31(7)
The task of identifying and characterizing network structures out of experimentally observed time series is tackled by implementing different solutions, ranging from entropy-based techniques to the evaluation of the significance of observed correlati
Detection of chaos in experimental data is a crucial issue in nonlinear science. Historically, one of the first evidences of a chaotic behavior in experimental recordings came from laser physics. In a recent work, a Minimal Universal Model of chaos w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25834e601653a69cf5fefebce10447d6
https://www.worldscientific.com/doi/abs/10.1142/S0218127421502059
https://www.worldscientific.com/doi/abs/10.1142/S0218127421502059
Publikováno v:
SoftwareX, Vol 12, Iss, Pp 100569-(2020)
The possibility of using microRNA (miRNA) levels as diagnostic and prognostic tools to detect different pathologies requires the implementation of reliable classifiers, whose training and use call for quality control of data corresponding to miRNA ex
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 29:121102
The study of many dynamical systems relies on the analysis of experimentally-recorded sequences of events for which information is encoded in the sequence of interevent intervals. A correct interpretation of the results of the application of analytic