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Tese (Doutorado)
Microstructural, mechanical and tribological characterizations of copper and copper-Al2O3 composites obtained by Spark Plasma Sintering (2023)
Briones Castillo, Francisco Guillermo Leonardo; Machado, Izabel Fernanda (Orientador) ; Seriacopi, Vanessa (coorient)
Unidade: EP
Assunto: COBRE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRIONES CASTILLO, Francisco Guillermo Leonardo. Microstructural, mechanical and tribological characterizations of copper and copper-Al2O3 composites obtained by Spark Plasma Sintering. 2023. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3151/tde-17072023-152246/. Acesso em: 11 ago. 2024.
APA
Briones Castillo, F. G. L. (2023). Microstructural, mechanical and tribological characterizations of copper and copper-Al2O3 composites obtained by Spark Plasma Sintering (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3151/tde-17072023-152246/
NLM
Briones Castillo FGL. Microstructural, mechanical and tribological characterizations of copper and copper-Al2O3 composites obtained by Spark Plasma Sintering [Internet]. 2023 ;[citado 2024 ago. 11 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3151/tde-17072023-152246/
Vancouver
Briones Castillo FGL. Microstructural, mechanical and tribological characterizations of copper and copper-Al2O3 composites obtained by Spark Plasma Sintering [Internet]. 2023 ;[citado 2024 ago. 11 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3151/tde-17072023-152246/
Artigo de periodico
Downstream process and evaluation of the concomitant impact of a recombinant glycosylated L-asparaginase on leukemic cancer cells and the bone marrow tumor microenvironment (2023)
Kleingesinds, Eduardo Krebs ; Parizotto, Letícia de Almeida ; Effer, Brian ; Monteiro, Gisele ; Long, Paul Frederick ; Berdugo, Yoana Arroyo; Behrends, Volker ; Esposito , Maria Teresa; Calle, Yolanda; Pessoa Junior, Adalberto
Source: Process Biochemistry. Unidades: FCF, EP
Subjects: LEUCEMIA, PROTEÍNAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KLEINGESINDS, Eduardo Krebs et al. Downstream process and evaluation of the concomitant impact of a recombinant glycosylated L-asparaginase on leukemic cancer cells and the bone marrow tumor microenvironment. Process Biochemistry, v. 131, p. 41–51, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.procbio.2023.06.006. Acesso em: 11 ago. 2024.
APA
Kleingesinds, E. K., Parizotto, L. de A., Effer, B., Monteiro, G., Long, P. F., Berdugo, Y. A., et al. (2023). Downstream process and evaluation of the concomitant impact of a recombinant glycosylated L-asparaginase on leukemic cancer cells and the bone marrow tumor microenvironment. Process Biochemistry, 131, 41–51. doi:10.1016/j.procbio.2023.06.006
NLM
Kleingesinds EK, Parizotto L de A, Effer B, Monteiro G, Long PF, Berdugo YA, Behrends V, Esposito MT, Calle Y, Pessoa Junior A. Downstream process and evaluation of the concomitant impact of a recombinant glycosylated L-asparaginase on leukemic cancer cells and the bone marrow tumor microenvironment [Internet]. Process Biochemistry. 2023 ; 131 41–51.[citado 2024 ago. 11 ] Available from: https://doi.org/10.1016/j.procbio.2023.06.006
Vancouver
Kleingesinds EK, Parizotto L de A, Effer B, Monteiro G, Long PF, Berdugo YA, Behrends V, Esposito MT, Calle Y, Pessoa Junior A. Downstream process and evaluation of the concomitant impact of a recombinant glycosylated L-asparaginase on leukemic cancer cells and the bone marrow tumor microenvironment [Internet]. Process Biochemistry. 2023 ; 131 41–51.[citado 2024 ago. 11 ] Available from: https://doi.org/10.1016/j.procbio.2023.06.006
Artigo de periodico
Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks (2021)
Figueroa Barraza, Joaquín Eduardo ; López Droguett, Enrique ; Martins, Marcelo Ramos
Source: Sensors. Unidade: EP
Subjects: REDES NEURAIS, ALGORITMOS PARA IMAGENS, APRENDIZADO COMPUTACIONAL, PROGNÓSTICO, DIAGNÓSTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FIGUEROA BARRAZA, Joaquín Eduardo e LÓPEZ DROGUETT, Enrique e MARTINS, Marcelo Ramos. Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks. Sensors, v. 21, n. 17, p. 1-30, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21175888. Acesso em: 11 ago. 2024.
APA
Figueroa Barraza, J. E., López Droguett, E., & Martins, M. R. (2021). Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks. Sensors, 21( 17), 1-30. doi:10.3390/s21175888
NLM
Figueroa Barraza JE, López Droguett E, Martins MR. Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks [Internet]. Sensors. 2021 ; 21( 17): 1-30.[citado 2024 ago. 11 ] Available from: https://doi.org/10.3390/s21175888
Vancouver
Figueroa Barraza JE, López Droguett E, Martins MR. Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks [Internet]. Sensors. 2021 ; 21( 17): 1-30.[citado 2024 ago. 11 ] Available from: https://doi.org/10.3390/s21175888

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