Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Laurence R. do Amaral"'
Autor:
Lívia C. F. Silva, Paulo V. R. Pereira, Marcelo A. D. da Cruz, Gisele X. R. Costa, Renata A. R. Rocha, Pedro L. L. Bertarini, Laurence R. do Amaral, Matheus S. Gomes, Líbia D. Santos
Publikováno v:
Foods, Vol 13, Iss 5, p 653 (2024)
Fermentation, a critical post-harvest process, can be strategically manipulated to augment coffee quality. This enhancement is achieved through the activity of microorganisms, which generate metabolites instrumental in the formation of distinct senso
Externí odkaz:
https://doaj.org/article/6ffd9a43a673400b8db9d8ca250971fb
Autor:
Rodrigo B Aires, Alexandre A de S M Soares, Ana Paula M Gomides, André M Nicola, Andréa Teixeira-Carvalho, Dayde Lane M da Silva, Eliana T de Gois, Flávia D Xavier, Francielle P Martins, Gabriela P J Santos, Heidi Luise Schulte, Isabelle S Luz, Laila S Espindola, Laurence R do Amaral, Liza F Felicori, Luciana A Naves, Maíra R M de Carvalho, Matheus de S Gomes, Otávio T Nóbrega, Patrícia Albuquerque, Wagner Fontes, Ciro M Gomes, Patricia S Kurizky, Cleandro P Albuquerque, Olindo A Martins-Filho, Licia Maria H da Mota
Publikováno v:
PLoS ONE, Vol 17, Iss 1, p e0262600 (2022)
In patients with severe forms of COVID-19, thromboelastometry has been reported to display a hypercoagulant pattern. However, an algorithm to differentiate severe COVID-19 patients from nonsevere patients and healthy controls based on thromboelastome
Externí odkaz:
https://doaj.org/article/8cdf2bf8e8544d0dbace11d540bbec2c
Autor:
Rodrigo Aires, Alexandre A. de S. M. Soares, Ana Paula M. Gomides, Andre M. Nicola, Andrea Teixeira-Carvalho, Dayde Lane M. da Silva, Eliana T. de Góis, Flávia D. Xavier, Francielle P. Martins, Gabriela P. J. Santos, Heide Luise Schulte, Isabelle S. Luz, Laila S. Espíndola, Laurence R. do Amaral, Liza F. Felicori, Luciana A. Naves, Maíra R. M. de Carvalho, Matheus de S. Gomes, Otávio T. Nóbrega, Patrícia Albuquerque, Wagner Fontes, Ciro M. Gomes, Patrícia S. Kurizky, Cleandro P. Albuquerque, Olindo A. Martins-Filho, Licia Maria H. da Mota
In patients with severe forms of COVID-19, thromboelastometry has been reported to display a hypercoagulant pattern. However, an algorithm to differentiate severe COVID-19 patients from nonsevere patients and healthy controls based on thromboelastome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b8a9d8634ffbf095e96327be4f70ebd
https://doi.org/10.17504/protocols.io.bwvbpe2n
https://doi.org/10.17504/protocols.io.bwvbpe2n
