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  • Source: Rapid Communications in Mass Spectrometry. Unidade: FFCLRP

    Subjects: ANTIBIÓTICOS, ESPECTROSCOPIA DE MASSA, INFECÇÕES BACTERIANAS

    Acesso à fonteDOIHow to cite
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    • ABNT

      CARNEVALE NETO, Fausto e VESSECCHI, Ricardo. Structural elucidation of 14‐membered ring macrolide antibiotics using electrospray ionization tandem mass spectrometry and density functional theory calculations. Rapid Communications in Mass Spectrometry, v. 38, n. 24, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1002/rcm.9913. Acesso em: 24 abr. 2026.
    • APA

      Carnevale Neto, F., & Vessecchi, R. (2024). Structural elucidation of 14‐membered ring macrolide antibiotics using electrospray ionization tandem mass spectrometry and density functional theory calculations. Rapid Communications in Mass Spectrometry, 38( 24), 1-12. doi:10.1002/rcm.9913
    • NLM

      Carnevale Neto F, Vessecchi R. Structural elucidation of 14‐membered ring macrolide antibiotics using electrospray ionization tandem mass spectrometry and density functional theory calculations [Internet]. Rapid Communications in Mass Spectrometry. 2024 ; 38( 24): 1-12.[citado 2026 abr. 24 ] Available from: https://doi.org/10.1002/rcm.9913
    • Vancouver

      Carnevale Neto F, Vessecchi R. Structural elucidation of 14‐membered ring macrolide antibiotics using electrospray ionization tandem mass spectrometry and density functional theory calculations [Internet]. Rapid Communications in Mass Spectrometry. 2024 ; 38( 24): 1-12.[citado 2026 abr. 24 ] Available from: https://doi.org/10.1002/rcm.9913
  • Source: Psychological Medicine. Unidade: FMRP

    Subjects: ANÁLISE FATORIAL, TRIAGEM, DEPRESSÃO

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    • ABNT

      FISCHER, Felix et al. Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis. Psychological Medicine, 2022Tradução . . Disponível em: https://doi.org/10.1017/S0033291721000131. Acesso em: 24 abr. 2026.
    • APA

      Fischer, F., Levis, B., Falk, C., Sun, Y., Ioannidis, J. P. A., Cuijpers, P., et al. (2022). Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis. Psychological Medicine. doi:10.1017/S0033291721000131
    • NLM

      Fischer F, Levis B, Falk C, Sun Y, Ioannidis JPA, Cuijpers P, Shrier I, Benedetti A, Thombs BD, Chagas MHN, Loureiro SR, Osório F de L. Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis [Internet]. Psychological Medicine. 2022 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.1017/S0033291721000131
    • Vancouver

      Fischer F, Levis B, Falk C, Sun Y, Ioannidis JPA, Cuijpers P, Shrier I, Benedetti A, Thombs BD, Chagas MHN, Loureiro SR, Osório F de L. Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis [Internet]. Psychological Medicine. 2022 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.1017/S0033291721000131
  • Source: Journal of Natural Products. Unidade: FCFRP

    Subjects: PRODUTOS NATURAIS, ESPECTROMETRIA DE MASSAS, CROMATOGRAFIA LÍQUIDA, EXTRATOS (FORMAS FARMACÊUTICAS)

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    • ABNT

      CARNEVALE NETO, Fausto et al. Evaluation of ion mobility spectrometry for improving constitutional assignment in natural product mixtures. Journal of Natural Products, v. 85, n. 3, p. 519-529, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jnatprod.1c01048. Acesso em: 24 abr. 2026.
    • APA

      Carnevale Neto, F., Clark, T. N., Lopes, N. P., & Linington, R. G. (2022). Evaluation of ion mobility spectrometry for improving constitutional assignment in natural product mixtures. Journal of Natural Products, 85( 3), 519-529. doi:10.1021/acs.jnatprod.1c01048
    • NLM

      Carnevale Neto F, Clark TN, Lopes NP, Linington RG. Evaluation of ion mobility spectrometry for improving constitutional assignment in natural product mixtures [Internet]. Journal of Natural Products. 2022 ; 85( 3): 519-529.[citado 2026 abr. 24 ] Available from: https://doi.org/10.1021/acs.jnatprod.1c01048
    • Vancouver

      Carnevale Neto F, Clark TN, Lopes NP, Linington RG. Evaluation of ion mobility spectrometry for improving constitutional assignment in natural product mixtures [Internet]. Journal of Natural Products. 2022 ; 85( 3): 519-529.[citado 2026 abr. 24 ] Available from: https://doi.org/10.1021/acs.jnatprod.1c01048
  • Source: Program. Conference titles: Brazil MRS Meeting. Unidade: IFSC

    Subjects: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, SENSOR

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    • ABNT

      GALDINO, Nathália Magno et al. Machine learning applied for designing conductive polymers based electrochemical sensors for pesticide. 2022, Anais.. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat, 2022. Disponível em: https://repositorio.usp.br/directbitstream/d9bc3130-ff07-4699-8029-34352397618d/3098363.pdf. Acesso em: 24 abr. 2026.
    • APA

      Galdino, N. M., Baum, F., Köche, A., Manica, L., Santos, J. F. L., & Oliveira Junior, O. N. de. (2022). Machine learning applied for designing conductive polymers based electrochemical sensors for pesticide. In Program. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat. Recuperado de https://repositorio.usp.br/directbitstream/d9bc3130-ff07-4699-8029-34352397618d/3098363.pdf
    • NLM

      Galdino NM, Baum F, Köche A, Manica L, Santos JFL, Oliveira Junior ON de. Machine learning applied for designing conductive polymers based electrochemical sensors for pesticide [Internet]. Program. 2022 ;[citado 2026 abr. 24 ] Available from: https://repositorio.usp.br/directbitstream/d9bc3130-ff07-4699-8029-34352397618d/3098363.pdf
    • Vancouver

      Galdino NM, Baum F, Köche A, Manica L, Santos JFL, Oliveira Junior ON de. Machine learning applied for designing conductive polymers based electrochemical sensors for pesticide [Internet]. Program. 2022 ;[citado 2026 abr. 24 ] Available from: https://repositorio.usp.br/directbitstream/d9bc3130-ff07-4699-8029-34352397618d/3098363.pdf

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