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pro vyhledávání: '"M. A. Vaz"'
Akademický článek
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Publikováno v:
Revista Portuguesa de Cardiologia, Vol 40, Iss 10, Pp 809-810 (2021)
Externí odkaz:
https://doaj.org/article/76a4be92accf44b2a2087b0e9709099c
Autor:
Wallace T. Figueiredo, Fernanda Poletto, Vágner E. Carvalho, Edmar A. Soares, Alisson S. Thill, Fabiano Bernardi, Sérgio R. Teixeira, Mauricio O. Vaz, Francielli O. Lobato, Willians P. Fernandes
Publikováno v:
Journal of Materials Chemistry A. 9:23726-23730
This reply presents a detailed explanation about the critique given by Prof. E. Paparazzo on the analysis of the Ce 3d XPS spectra described in the published article. The comment claims that the Ce(III) fraction values found are too high for the Ce 3
Autor:
M. Angeles Vaz-Salgado, Victor Albarran, Javier Pozas, Reyes Ferreiro, Vanessa Pachón, Federico Longo, Mercedes Rodriguez, Emma Barreto, Julie Earl
Publikováno v:
Future Science OA, Vol 10, Iss 1 (2024)
Background Single-nucleotide polymorphisms (SNPs) in enzyme-coding genes play a role in susceptibility to anti-cancer therapy.Materials & Methods A prospective study was performed of the relationship between enzyme activity and treatment response, dr
Externí odkaz:
https://doaj.org/article/f7cb31746380498ba76f28342a9609e0
Autor:
Daniel A. B. de Siqueira, Carlos M. P. Vaz, Flávio S. da Silva, Ednaldo J. Ferreira, Eduardo A. Speranza, Júlio C. Franchini, Rafael Galbieri, Jean L. Belot, Márcio de Souza, Fabiano J. Perina, Sérgio das Chagas
Publikováno v:
AgriEngineering, Vol 6, Iss 2, Pp 947-961 (2024)
Satellite remote sensing data expedite crop yield estimation, offering valuable insights for farmers’ decision making. Recent forecasting methods, particularly those utilizing machine learning algorithms like Random Forest and Artificial Neural Net
Externí odkaz:
https://doaj.org/article/71a30c6b4a254a6b8a2741f5d17eab15
Autor:
Elizabeth M. Pontedeiro, Martinus Th. vanGenuchten, William Godoy, Mateus G. Ramirez, Carlos M. P. Vaz, Silvio Crestana, Maira C. O. Lima, Paulo Couto, Jian Su
Publikováno v:
Vadose Zone Journal, Vol 23, Iss 4, Pp n/a-n/a (2024)
Abstract Digital samples offer many opportunities to study subsurface fluid flow and contaminant transport processes. The pore size distribution of especially fine‐textured porous media often covers many orders of magnitude in the length scale, whi
Externí odkaz:
https://doaj.org/article/424fbeb0777643c48213ef6635b75867
Akademický článek
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Publikováno v:
Revista Portuguesa de Cardiologia, Vol 40, Iss 10, Pp 809-810 (2021)
Autor:
Pedro Nogueira, Pedro Lopes, Luís Oliveira, Jorge L. Alves, João P. G. Magrinho, Augusto Moita de Deus, M. Fátima Vaz, M. Beatriz Silva
Publikováno v:
Metals, Vol 14, Iss 7, p 780 (2024)
Lattice structures are a prime candidate for applications in the medical implant industry due to their versatile mechanical behaviour, which can be tailored to meet specific patient needs and reduce stress shielding, while enabling the natural flow o
Externí odkaz:
https://doaj.org/article/cd7ad24e87054c2d8c344e519a2ef9e1
Autor:
Matilde Sanches, Ana Margarida Sampaio, Susana Araújo, Fred van Eeuwijk, Frank Van Breusegem, M. Carlota Vaz Patto
Publikováno v:
Agricultural Water Management, Vol 292, Iss , Pp 108664- (2024)
The grain legume Lathyrus sativus L. (grass pea) is of high economic importance for food and feed in Asian and African developing countries and is part of cultural heritage of marginal areas in the Mediterranean region. Its outstanding robustness und
Externí odkaz:
https://doaj.org/article/27c02726bbf543d79a3a0c8a08a6e7d9