Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Massimo, Riccaboni"'
Autor:
Damiano Paolicelli, Giovanna Borriello, Raffaella Clerici, Elena Colombo, Davide Croce, Emanuele D’Amico, Nicola De Rossi, Alessia Di Sapio, Giuseppe Fenu, Davide Maimone, Girolama A. Marfia, Marcello Moccia, Paola Perini, Maria G. Piscaglia, Lorenzo Razzolini, Massimo Riccaboni, Elisabetta Signoriello, Gianluca Agostoni, Alberto Farina, Margaret Mondino, Francesco Berruto, Alessia Tettamanti, Francesca Donnaloja, Carla Tortorella
Publikováno v:
Neurology and Therapy, Vol 13, Iss 5, Pp 1415-1430 (2024)
Abstract Introduction Multiple sclerosis (MS) is a chronic neurodegenerative disease that leads to impaired cognitive function and accumulation of disability, with significant socioeconomic burden. Serious unmet need in the context of managing MS has
Externí odkaz:
https://doaj.org/article/0d2f106941e5448cae52c92ecbd32ca4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Despite the negative externalities on the environment and human health, today’s economies still produce excessive carbon dioxide emissions. As a result, governments are trying to shift production and consumption to more sustainable models
Externí odkaz:
https://doaj.org/article/f7dbb34ca01d496e9986e5ad56c5788d
Publikováno v:
EPJ Data Science, Vol 13, Iss 1, Pp 1-32 (2024)
Abstract With the increasing pervasiveness of Information and Communication Technology (ICT) in the fabric of economic activities, the corporate digital divide has become a crucial issue for the assessment of Information Technology (IT) competencies
Externí odkaz:
https://doaj.org/article/0736c2053be34559a9b7b1a88214c426
With the increasing pervasiveness of ICTs in the fabric of economic activities, the corporate digital divide has emerged as a new crucial topic to evaluate the IT competencies and the digital gap between firms and territories. Given the scarcity of a
Externí odkaz:
http://arxiv.org/abs/2301.04925
This work applies Matrix Completion (MC) -- a class of machine-learning methods commonly used in the context of recommendation systems -- to analyse economic complexity. MC is applied to reconstruct the Revealed Comparative Advantage (RCA) matrix, wh
Externí odkaz:
http://arxiv.org/abs/2109.03930
Autor:
Sean Anthony Byrne, Adam Peter Frederick Reynolds, Carolina Biliotti, Falco J. Bargagli-Stoffi, Luca Polonio, Massimo Riccaboni
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Eye movement data has been extensively utilized by researchers interested in studying decision-making within the strategic setting of economic games. In this paper, we demonstrate that both deep learning and support vector machine classifica
Externí odkaz:
https://doaj.org/article/e46fa7b4972e44658a030b214543765a
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract This work applies Matrix Completion (MC) – a class of machine-learning methods commonly used in recommendation systems – to analyze economic complexity. In this paper MC is applied to reconstruct the Revealed Comparative Advantage (RCA)
Externí odkaz:
https://doaj.org/article/5376ae1374fc40a4a6607d821e342937
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract This paper analyzes the impact of mobility contraction on employee furlough and excess deaths in Italy during the COVID-19 crisis. Our approach exploits rainfall patterns across Italian administrative regions as a source of exogenous variati
Externí odkaz:
https://doaj.org/article/5214669dc5ff414dbfa5c0f17f0c2cba
Autor:
Claudio Jommi, Giovanni Apolone, Giovanna Scroccaro, Valentina Acciai, Antonio Addis, Andrea Ardizzoni, Renato Bernardini, Alberto Bortolami, Alessia Brigido, Giuliano Buzzetti, Pier Luigi Canonico, Francesca Caprari, Stefano Centanni, Chiara Cernetti, Americo Cicchetti, Giorgio Corsico, Francesco Damele, Filippo De Braud, Sara Manurita, Francesco Saverio Mennini, Irene Olivi, Federica Parretta, Lara Pippo, Stefania Pulimeno, Massimo Riccaboni, Giuseppe Rossi, Cecilia Saleri, Alessandra Sinibaldi, Federico Spandonaro, Cristian Stefenoni, Elena Visentin, Pierluigi Viale, Giuseppina Zapparelli, Patrizia Popoli
Publikováno v:
Global & Regional Health Technology Assessment, Vol 9, Iss 1 (2022)
This document illustrates the results of a discussion of two multi-disciplinary expert panels on pricing and reimbursement of medicines. Experts work in different organizations. The discussion focused on comparator(s), endpoint(s), negotiation of pri
Externí odkaz:
https://doaj.org/article/e58a050c32a54d6fa9232714ee5f9a0d
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
IntroductionSeveral countries imposed nationwide or partial lockdowns to limit the spread of COVID-19 and avoid overwhelming hospitals and intensive care units. Lockdown may involve restriction of movement, stay-at-home orders and self-isolation, whi
Externí odkaz:
https://doaj.org/article/fc85142be9be45c7ae055c3603026f8e