Filtros : "Mathematical Biosciences and Engineering" Limpar

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  • Source: Mathematical Biosciences and Engineering. Unidade: IME

    Subjects: EQUAÇÕES INTEGRO-DIFERENCIAIS, MODELOS MATEMÁTICOS, DENGUE

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    • ABNT

      STEINDORF, Vanessa e OLIVA, Sérgio Muniz e WU, Jianhong. Cross immunity protection and antibody-dependent enhancement in a distributed delay dynamic model. Mathematical Biosciences and Engineering, v. 19, n. 3, p. 2950-2984, 2022Tradução . . Disponível em: https://doi.org/10.3934/mbe.2022136. Acesso em: 23 maio 2024.
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      Steindorf, V., Oliva, S. M., & Wu, J. (2022). Cross immunity protection and antibody-dependent enhancement in a distributed delay dynamic model. Mathematical Biosciences and Engineering, 19( 3), 2950-2984. doi:10.3934/mbe.2022136
    • NLM

      Steindorf V, Oliva SM, Wu J. Cross immunity protection and antibody-dependent enhancement in a distributed delay dynamic model [Internet]. Mathematical Biosciences and Engineering. 2022 ; 19( 3): 2950-2984.[citado 2024 maio 23 ] Available from: https://doi.org/10.3934/mbe.2022136
    • Vancouver

      Steindorf V, Oliva SM, Wu J. Cross immunity protection and antibody-dependent enhancement in a distributed delay dynamic model [Internet]. Mathematical Biosciences and Engineering. 2022 ; 19( 3): 2950-2984.[citado 2024 maio 23 ] Available from: https://doi.org/10.3934/mbe.2022136
  • Source: Mathematical Biosciences and Engineering. Unidades: EACH, FM

    Subjects: BIOLOGIA MOLECULAR, REGULAÇÃO GÊNICA

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      GIOVANINI, Guilherme et al. A comparative analysis of noise properties of stochastic binary models for a self-repressing and for an externally regulating gene. Mathematical Biosciences and Engineering, v. 17, n. 5, p. 5477-5503, 2020Tradução . . Disponível em: https://doi.org/10.3934/mbe.2020295. Acesso em: 23 maio 2024.
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      Giovanini, G., Sabino, A. U., Barros, L. R. C., & Ramos, A. F. (2020). A comparative analysis of noise properties of stochastic binary models for a self-repressing and for an externally regulating gene. Mathematical Biosciences and Engineering, 17( 5), 5477-5503. doi:10.3934/mbe.2020295
    • NLM

      Giovanini G, Sabino AU, Barros LRC, Ramos AF. A comparative analysis of noise properties of stochastic binary models for a self-repressing and for an externally regulating gene [Internet]. Mathematical Biosciences and Engineering. 2020 ; 17( 5): 5477-5503.[citado 2024 maio 23 ] Available from: https://doi.org/10.3934/mbe.2020295
    • Vancouver

      Giovanini G, Sabino AU, Barros LRC, Ramos AF. A comparative analysis of noise properties of stochastic binary models for a self-repressing and for an externally regulating gene [Internet]. Mathematical Biosciences and Engineering. 2020 ; 17( 5): 5477-5503.[citado 2024 maio 23 ] Available from: https://doi.org/10.3934/mbe.2020295
  • Source: Mathematical Biosciences and Engineering. Unidade: ICMC

    Subjects: SISTEMAS HAMILTONIANOS, MODELOS MATEMÁTICOS

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      AGUIAR, Manuela e DIAS, Ana e MANOEL, Miriam Garcia. Gradient and Hamiltonian coupled systems on undirected networks. Mathematical Biosciences and Engineering, v. 16, n. 5, p. 4622-4644, 2019Tradução . . Disponível em: https://doi.org/10.3934/mbe.2019232. Acesso em: 23 maio 2024.
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      Aguiar, M., Dias, A., & Manoel, M. G. (2019). Gradient and Hamiltonian coupled systems on undirected networks. Mathematical Biosciences and Engineering, 16( 5), 4622-4644. doi:10.3934/mbe.2019232
    • NLM

      Aguiar M, Dias A, Manoel MG. Gradient and Hamiltonian coupled systems on undirected networks [Internet]. Mathematical Biosciences and Engineering. 2019 ; 16( 5): 4622-4644.[citado 2024 maio 23 ] Available from: https://doi.org/10.3934/mbe.2019232
    • Vancouver

      Aguiar M, Dias A, Manoel MG. Gradient and Hamiltonian coupled systems on undirected networks [Internet]. Mathematical Biosciences and Engineering. 2019 ; 16( 5): 4622-4644.[citado 2024 maio 23 ] Available from: https://doi.org/10.3934/mbe.2019232
  • Source: Mathematical Biosciences and Engineering. Unidade: IFSC

    Subjects: INTELIGÊNCIA COLETIVA, CONSCIÊNCIA (PERCEPÇÃO), SIMULAÇÃO

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      LOPES, Guilherme M. e FONTANARI, José Fernando. Influence of technological progress and renewability on the sustainability of ecosystem engineers populations. Mathematical Biosciences and Engineering, v. 16, n. 5, p. 3450-3464, 2019Tradução . . Disponível em: https://doi.org/10.3934/mbe.2019173. Acesso em: 23 maio 2024.
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      Lopes, G. M., & Fontanari, J. F. (2019). Influence of technological progress and renewability on the sustainability of ecosystem engineers populations. Mathematical Biosciences and Engineering, 16( 5), 3450-3464. doi:10.3934/mbe.2019173
    • NLM

      Lopes GM, Fontanari JF. Influence of technological progress and renewability on the sustainability of ecosystem engineers populations [Internet]. Mathematical Biosciences and Engineering. 2019 ; 16( 5): 3450-3464.[citado 2024 maio 23 ] Available from: https://doi.org/10.3934/mbe.2019173
    • Vancouver

      Lopes GM, Fontanari JF. Influence of technological progress and renewability on the sustainability of ecosystem engineers populations [Internet]. Mathematical Biosciences and Engineering. 2019 ; 16( 5): 3450-3464.[citado 2024 maio 23 ] Available from: https://doi.org/10.3934/mbe.2019173

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