Zobrazeno 1 - 10
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pro vyhledávání: '"F Prados"'
A Review of Blockchain Technology Adoption in the Tourism Industry from a Sustainability Perspective
Autor:
Juan F. Prados-Castillo, José Manuel Guaita Martínez, Agnieszka Zielińska, Dolores Gorgues Comas
Publikováno v:
Journal of Theoretical and Applied Electronic Commerce Research, Vol 18, Iss 2, Pp 814-830 (2023)
The deployment of Blockchain technology in the tourism industry is already becoming a reality with the gradual emergence of innovative business models. At its core is the promise of improving the efficiency of the tourism service value chain and enha
Externí odkaz:
https://doaj.org/article/43274b122af347df8e69ed526c3a1727
Autor:
E. Lopez-Soley, E. Martinez-Heras, E. Solana, A. Solanes, J. Radua, F. Vivo, F. Prados, M. Sepulveda, J. M. Cabrera-Maqueda, E. Fonseca, Y. Blanco, S. Alba-Arbalat, E. H. Martinez-Lapiscina, P. Villoslada, A. Saiz, S. Llufriu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract The relationship between brain diffusion microstructural changes and disability in multiple sclerosis (MS) remains poorly understood. We aimed to explore the predictive value of microstructural properties in white (WM) and grey matter (GM),
Externí odkaz:
https://doaj.org/article/3b719af00627415a962602bbe3d605fe
Publikováno v:
Sustainable Technology and Entrepreneurship, Vol 2, Iss 2, Pp 100035- (2023)
The fight against climate change is one of the significant challenges of the 21st century. The European Union's environmental policy has evolved as the perception of the problem has become more evident. This paper examines the environmental commitmen
Externí odkaz:
https://doaj.org/article/19760670a4744d1bba700a768a6eed34
Publikováno v:
Sustainable Technology and Entrepreneurship, Vol 1, Iss 3, Pp 100022- (2022)
Composite indicators play a very useful role in supporting international policy entrepreneurship, helping to inform decision-making processes and to address conflicts between countries. In this paper we present a Fuzzy Data Envelopment Analysis (Fuzz
Externí odkaz:
https://doaj.org/article/b0e5e21f5efd4382b82b75bbd3ff555a
Autor:
O. Goodkin, F. Prados, S.B. Vos, H. Pemberton, S. Collorone, M.H.J. Hagens, M.J. Cardoso, T.A. Yousry, J.S. Thornton, C.H. Sudre, F. Barkhof
Publikováno v:
NeuroImage: Clinical, Vol 29, Iss , Pp 102542- (2021)
Background: MRI assessment in multiple sclerosis (MS) focuses on the presence of typical white matter (WM) lesions. Neurodegeneration characterised by brain atrophy is recognised in the research field as an important prognostic factor. It is not rout
Externí odkaz:
https://doaj.org/article/3910c8da7806466ba7054711e1211bad
Autor:
C. Tur, A. Eshaghi, D. R. Altmann, T. M. Jenkins, F. Prados, F. Grussu, T. Charalambous, A. Schmidt, S. Ourselin, J. D. Clayden, C. A. M. G. Wheeler-Kingshott, A. J. Thompson, O. Ciccarelli, A. T. Toosy
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-15 (2018)
Abstract Brain structural covariance networks (SCNs) based on pairwise statistical associations of cortical thickness data across brain areas reflect underlying physical and functional connections between them. SCNs capture the complexity of human br
Externí odkaz:
https://doaj.org/article/027562ddba5740d49a627021651f6f21
Autor:
Silva, P. G., Reicherter, K., García-Jiménez, I., Martínez, F. Prados, Pérez-Tarruella, J., Sánchez-Sánchez, Y.
Publikováno v:
Cuaternario y Geomorfología; dic2023, Vol. 37 Issue 3/4, p37-57, 21p
Publikováno v:
Army History; Summer2023, Issue 128, p5-5, 1/4p
Autor:
E Martinez-Heras, E Solana, F Vivó, E Lopez-Soley, A Calvi, S Alba-Arbalat, MM Schoonheim, EMM Strijbis, H Vrenken, F Barkhof, MA Rocca, M Filippi, E Pagani, S Groppa, V Fleischer, R Dineen, B Ballenberg, C Lukas, D Pareto, À Rovira, J Sastre-Garriga, S Collorone, F Prados, AT Toosy, O Ciccarelli, A Saiz, Y Blanco, S Llufriu
BackgroundWe aimed to describe the severity of the changes in brain diffusion-based connectivity as multiple sclerosis (MS) progresses and the microstructural characteristics of these networks that are associated with distinct MS phenotypes.MethodsCl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d48fb334f4f6bcb0c7ae35d78d6e322
https://doi.org/10.1101/2023.03.21.23287029
https://doi.org/10.1101/2023.03.21.23287029
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