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Artigo de periodico
Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII (2021)
Lopes, Tiago José da Silva ; Rios, Ricardo Araújo ; Nogueira, Tatiane ; Mello, Rodrigo Fernandes de
Source: Scientific Reports. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEMOFILIA, PROTEÍNAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Tiago José da Silva et al. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII. Scientific Reports, v. 11, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41598-021-92201-3. Acesso em: 09 out. 2024.
APA
Lopes, T. J. da S., Rios, R. A., Nogueira, T., & Mello, R. F. de. (2021). Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII. Scientific Reports, 11, 1-11. doi:10.1038/s41598-021-92201-3
NLM
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII [Internet]. Scientific Reports. 2021 ; 11 1-11.[citado 2024 out. 09 ] Available from: https://doi.org/10.1038/s41598-021-92201-3
Vancouver
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII [Internet]. Scientific Reports. 2021 ; 11 1-11.[citado 2024 out. 09 ] Available from: https://doi.org/10.1038/s41598-021-92201-3
Artigo de periodico
Prediction of hemophilia A severity using a small-input machine-learning framework (2021)
Lopes, Tiago José da Silva ; Rios, Ricardo Araújo ; Nogueira, Tatiane ; Mello, Rodrigo Fernandes de
Source: npj Systems Biology and Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEMOFILIA, PROTEÍNAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Tiago José da Silva et al. Prediction of hemophilia A severity using a small-input machine-learning framework. npj Systems Biology and Applications, v. 7, p. 1-8, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41540-021-00183-9. Acesso em: 09 out. 2024.
APA
Lopes, T. J. da S., Rios, R. A., Nogueira, T., & Mello, R. F. de. (2021). Prediction of hemophilia A severity using a small-input machine-learning framework. npj Systems Biology and Applications, 7, 1-8. doi:10.1038/s41540-021-00183-9
NLM
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Prediction of hemophilia A severity using a small-input machine-learning framework [Internet]. npj Systems Biology and Applications. 2021 ; 7 1-8.[citado 2024 out. 09 ] Available from: https://doi.org/10.1038/s41540-021-00183-9
Vancouver
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Prediction of hemophilia A severity using a small-input machine-learning framework [Internet]. npj Systems Biology and Applications. 2021 ; 7 1-8.[citado 2024 out. 09 ] Available from: https://doi.org/10.1038/s41540-021-00183-9
Artigo de periodico
Curves in a spacelike hypersurface in Minkowski space-time (2021)
Izumiya, Shyuichi; Nabarro, Ana Claudia ; Sacramento, Andrea de Jesus
Source: Osaka Journal of Mathematics. Unidade: ICMC
Subjects: TEORIA DAS SINGULARIDADES, GEOMETRIA SIMPLÉTICA
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ABNT
IZUMIYA, Shyuichi e NABARRO, Ana Claudia e SACRAMENTO, Andrea de Jesus. Curves in a spacelike hypersurface in Minkowski space-time. Osaka Journal of Mathematics, v. 58, n. 4, p. 947-966, 2021Tradução . . Disponível em: https://projecteuclid.org/journals/osaka-journal-of-mathematics/volume-58/issue-4. Acesso em: 09 out. 2024.
APA
Izumiya, S., Nabarro, A. C., & Sacramento, A. de J. (2021). Curves in a spacelike hypersurface in Minkowski space-time. Osaka Journal of Mathematics, 58( 4), 947-966. Recuperado de https://projecteuclid.org/journals/osaka-journal-of-mathematics/volume-58/issue-4
NLM
Izumiya S, Nabarro AC, Sacramento A de J. Curves in a spacelike hypersurface in Minkowski space-time [Internet]. Osaka Journal of Mathematics. 2021 ; 58( 4): 947-966.[citado 2024 out. 09 ] Available from: https://projecteuclid.org/journals/osaka-journal-of-mathematics/volume-58/issue-4
Vancouver
Izumiya S, Nabarro AC, Sacramento A de J. Curves in a spacelike hypersurface in Minkowski space-time [Internet]. Osaka Journal of Mathematics. 2021 ; 58( 4): 947-966.[citado 2024 out. 09 ] Available from: https://projecteuclid.org/journals/osaka-journal-of-mathematics/volume-58/issue-4
Artigo de periodico
Country transition index based on hierarchical clustering to predict next COVID-19 waves (2021)
Rios, Ricardo Araújo ; Nogueira, Tatiane ; Coimbra, Danilo Barbosa; Lopes, Tiago José da Silva ; Abraham, Ajith ; Mello, Rodrigo Fernandes de
Source: Scientific Reports. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, INTELIGÊNCIA ARTIFICIAL, SURTOS DE DOENÇAS, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIOS, Ricardo Araújo et al. Country transition index based on hierarchical clustering to predict next COVID-19 waves. Scientific Reports, v. 11, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41598-021-94661-z. Acesso em: 09 out. 2024.
APA
Rios, R. A., Nogueira, T., Coimbra, D. B., Lopes, T. J. da S., Abraham, A., & Mello, R. F. de. (2021). Country transition index based on hierarchical clustering to predict next COVID-19 waves. Scientific Reports, 11, 1-13. doi:10.1038/s41598-021-94661-z
NLM
Rios RA, Nogueira T, Coimbra DB, Lopes TJ da S, Abraham A, Mello RF de. Country transition index based on hierarchical clustering to predict next COVID-19 waves [Internet]. Scientific Reports. 2021 ; 11 1-13.[citado 2024 out. 09 ] Available from: https://doi.org/10.1038/s41598-021-94661-z
Vancouver
Rios RA, Nogueira T, Coimbra DB, Lopes TJ da S, Abraham A, Mello RF de. Country transition index based on hierarchical clustering to predict next COVID-19 waves [Internet]. Scientific Reports. 2021 ; 11 1-13.[citado 2024 out. 09 ] Available from: https://doi.org/10.1038/s41598-021-94661-z
Artigo de periodico
Second-order finite difference approximations of the upper-convected time derivative (2021)
Medeiros, Débora de Oliveira ; Notsu, Hirofumi ; Oishi, Cassio Machiaveli
Source: SIAM Journal on Numerical Analysis. Unidade: ICMC
Subjects: MÉTODOS NUMÉRICOS, MECÂNICA DOS FLUÍDOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MEDEIROS, Débora de Oliveira e NOTSU, Hirofumi e OISHI, Cassio Machiaveli. Second-order finite difference approximations of the upper-convected time derivative. SIAM Journal on Numerical Analysis, v. 59, n. 6, p. 2955-2988, 2021Tradução . . Disponível em: https://doi.org/10.1137/20M1364990. Acesso em: 09 out. 2024.
APA
Medeiros, D. de O., Notsu, H., & Oishi, C. M. (2021). Second-order finite difference approximations of the upper-convected time derivative. SIAM Journal on Numerical Analysis, 59( 6), 2955-2988. doi:10.1137/20M1364990
NLM
Medeiros D de O, Notsu H, Oishi CM. Second-order finite difference approximations of the upper-convected time derivative [Internet]. SIAM Journal on Numerical Analysis. 2021 ; 59( 6): 2955-2988.[citado 2024 out. 09 ] Available from: https://doi.org/10.1137/20M1364990
Vancouver
Medeiros D de O, Notsu H, Oishi CM. Second-order finite difference approximations of the upper-convected time derivative [Internet]. SIAM Journal on Numerical Analysis. 2021 ; 59( 6): 2955-2988.[citado 2024 out. 09 ] Available from: https://doi.org/10.1137/20M1364990

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