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  • Unidade: FCF

    Subjects: IMUNOTERAPIA, NEOPLASIAS PULMONARES

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      BHATT, Shvetank et al. Immunotherapy against lung cancer: emerging opportunities and challenges. . Singapore: Springer. . Acesso em: 31 out. 2024. , 2024
    • APA

      Bhatt, S., Eri, R., Goh, B. H., Paudel, K. R., Pinto, T. de J. A., & Dua, K. (2024). Immunotherapy against lung cancer: emerging opportunities and challenges. Singapore: Springer.
    • NLM

      Bhatt S, Eri R, Goh BH, Paudel KR, Pinto T de JA, Dua K. Immunotherapy against lung cancer: emerging opportunities and challenges. 2024 ;[citado 2024 out. 31 ]
    • Vancouver

      Bhatt S, Eri R, Goh BH, Paudel KR, Pinto T de JA, Dua K. Immunotherapy against lung cancer: emerging opportunities and challenges. 2024 ;[citado 2024 out. 31 ]
  • Source: Machine learning for advanced functional materials. Unidade: IFSC

    Subjects: APRENDIZADO COMPUTACIONAL, ELETROQUÍMICA, SENSOR, INTELIGÊNCIA ARTIFICIAL

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      JOSHI, Nirav Kumar Jitendrabhai e KUSHVAHA, Vinod e MADHUSHRI, Priyanka. Machine learning for advanced functional materials. [Prefácio]. Machine learning for advanced functional materials. Singapore: Springer. Disponível em: https://doi.org/10.1007/978-981-99-0393-1. Acesso em: 31 out. 2024. , 2023
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      Joshi, N. K. J., Kushvaha, V., & Madhushri, P. (2023). Machine learning for advanced functional materials. [Prefácio]. Machine learning for advanced functional materials. Singapore: Springer. doi:10.1007/978-981-99-0393-1
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      Joshi NKJ, Kushvaha V, Madhushri P. Machine learning for advanced functional materials. [Prefácio] [Internet]. Machine learning for advanced functional materials. 2023 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
    • Vancouver

      Joshi NKJ, Kushvaha V, Madhushri P. Machine learning for advanced functional materials. [Prefácio] [Internet]. Machine learning for advanced functional materials. 2023 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
  • Unidade: FCF

    Subjects: DOENÇAS RESPIRATÓRIAS, LIPOSSOMOS, FARMACOCINÉTICA, NANOPARTÍCULAS, BIOTECNOLOGIA

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      DUREJA, Harish et al. Natural polymeric materials based drug delivery systems in lung diseases. . Singapore: Springer. Disponível em: https://doi.org/10.1007/978-981-19-7656-8. Acesso em: 31 out. 2024. , 2023
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      Dureja, H., Adams, J., Löbenberg, R., Pinto, T. de J. A., & Dua, K. (2023). Natural polymeric materials based drug delivery systems in lung diseases. Singapore: Springer. doi:10.1007/978-981-19-7656-8
    • NLM

      Dureja H, Adams J, Löbenberg R, Pinto T de JA, Dua K. Natural polymeric materials based drug delivery systems in lung diseases [Internet]. 2023 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/978-981-19-7656-8
    • Vancouver

      Dureja H, Adams J, Löbenberg R, Pinto T de JA, Dua K. Natural polymeric materials based drug delivery systems in lung diseases [Internet]. 2023 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/978-981-19-7656-8
  • Unidade: IFSC

    Subjects: APRENDIZADO COMPUTACIONAL, ELETROQUÍMICA, SENSOR, INTELIGÊNCIA ARTIFICIAL

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      Machine learning for advanced functional materials. . Singapore: Springer. Disponível em: https://doi.org/10.1007/978-981-99-0393-1. Acesso em: 31 out. 2024. , 2023
    • APA

      Machine learning for advanced functional materials. (2023). Machine learning for advanced functional materials. Singapore: Springer. doi:10.1007/978-981-99-0393-1
    • NLM

      Machine learning for advanced functional materials [Internet]. 2023 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
    • Vancouver

      Machine learning for advanced functional materials [Internet]. 2023 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
  • Source: International Journal of Structural Stability and Dynamics. Unidade: EESC

    Subjects: CISALHAMENTO, PLACAS, ANÁLISE NÃO LINEAR DE ESTRUTURAS, ENGENHARIA MECÂNICA

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      KUMAR, H. S. Naveen et al. Geometrically nonlinear study of functionally graded saturated porous plates based on refined shear deformation plate theory and biot's theory. International Journal of Structural Stability and Dynamics, p. 1-28, 2022Tradução . . Disponível em: https://doi.org/10.1142/S021945542350013X. Acesso em: 31 out. 2024.
    • APA

      Kumar, H. S. N., Kattimani, S., Marques, F. D., Thoi, T. N., & Shariati, M. (2022). Geometrically nonlinear study of functionally graded saturated porous plates based on refined shear deformation plate theory and biot's theory. International Journal of Structural Stability and Dynamics, 1-28. doi:10.1142/S021945542350013X
    • NLM

      Kumar HSN, Kattimani S, Marques FD, Thoi TN, Shariati M. Geometrically nonlinear study of functionally graded saturated porous plates based on refined shear deformation plate theory and biot's theory [Internet]. International Journal of Structural Stability and Dynamics. 2022 ; 1-28.[citado 2024 out. 31 ] Available from: https://doi.org/10.1142/S021945542350013X
    • Vancouver

      Kumar HSN, Kattimani S, Marques FD, Thoi TN, Shariati M. Geometrically nonlinear study of functionally graded saturated porous plates based on refined shear deformation plate theory and biot's theory [Internet]. International Journal of Structural Stability and Dynamics. 2022 ; 1-28.[citado 2024 out. 31 ] Available from: https://doi.org/10.1142/S021945542350013X
  • Unidade: IFSC

    Subjects: SENSOR, NANOTECNOLOGIA

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      Functional nanomaterials: advances in gas sensing technologies. . Singapore: Springer. Disponível em: https://doi.org/10.1007/978-981-15-4810-9. Acesso em: 31 out. 2024. , 2020
    • APA

      Functional nanomaterials: advances in gas sensing technologies. (2020). Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer. doi:10.1007/978-981-15-4810-9
    • NLM

      Functional nanomaterials: advances in gas sensing technologies [Internet]. 2020 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/978-981-15-4810-9
    • Vancouver

      Functional nanomaterials: advances in gas sensing technologies [Internet]. 2020 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/978-981-15-4810-9
  • Source: Functional nanomaterials: advances in gas sensing technologies. Unidade: IFSC

    Subjects: SENSOR, NANOTECNOLOGIA

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      MISHRA, Prashant Kumar et al. Hybridized graphitic carbon nitride (g-CN) as high performance VOCs sensor. Functional nanomaterials: advances in gas sensing technologies. Tradução . Singapore: Springer, 2020. p. 462 . Disponível em: https://doi.org/10.1007/978-981-15-4810-9_11. Acesso em: 31 out. 2024.
    • APA

      Mishra, P. K., Malik, R., Tomer, V. K., & Joshi, N. (2020). Hybridized graphitic carbon nitride (g-CN) as high performance VOCs sensor. In Functional nanomaterials: advances in gas sensing technologies (p. 462 ). Singapore: Springer. doi:10.1007/978-981-15-4810-9_11
    • NLM

      Mishra PK, Malik R, Tomer VK, Joshi N. Hybridized graphitic carbon nitride (g-CN) as high performance VOCs sensor [Internet]. In: Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer; 2020. p. 462 .[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_11
    • Vancouver

      Mishra PK, Malik R, Tomer VK, Joshi N. Hybridized graphitic carbon nitride (g-CN) as high performance VOCs sensor [Internet]. In: Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer; 2020. p. 462 .[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_11
  • Source: Role of oxidative stress in pathophysiology of diseases. Unidade: FCF

    Subjects: ESTRESSE OXIDATIVO, NEUROLOGIA, DOENÇAS NEURODEGENERATIVAS, ESPÉCIES REATIVAS DE OXIGÊNIO

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      GUPTA, Gaurav et al. Oxidative stress in neurology and in neurodegenerative processes. Role of oxidative stress in pathophysiology of diseases. Tradução . Singapore: Springer Nature, 2020. . Disponível em: https://doi.org/10.1007/978-981-15-1568-2. Acesso em: 31 out. 2024.
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      Gupta, G., Pathak, S., Rawat, S., Mishra, A., Singh, Y., Mehta, M., et al. (2020). Oxidative stress in neurology and in neurodegenerative processes. In Role of oxidative stress in pathophysiology of diseases. Singapore: Springer Nature. doi:10.1007/978-981-15-1568-2
    • NLM

      Gupta G, Pathak S, Rawat S, Mishra A, Singh Y, Mehta M, Satija S, Khurana N, Pinto T de JA, Shukla S, Pabreja K, Chellappan DK. Oxidative stress in neurology and in neurodegenerative processes [Internet]. In: Role of oxidative stress in pathophysiology of diseases. Singapore: Springer Nature; 2020. [citado 2024 out. 31 ] Available from: https://doi.org/10.1007/978-981-15-1568-2
    • Vancouver

      Gupta G, Pathak S, Rawat S, Mishra A, Singh Y, Mehta M, Satija S, Khurana N, Pinto T de JA, Shukla S, Pabreja K, Chellappan DK. Oxidative stress in neurology and in neurodegenerative processes [Internet]. In: Role of oxidative stress in pathophysiology of diseases. Singapore: Springer Nature; 2020. [citado 2024 out. 31 ] Available from: https://doi.org/10.1007/978-981-15-1568-2
  • Source: MODERN PHYSICS LETTERS A. Unidade: IF

    Assunto: FÉRMIO

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      BRITTO, André Luiz Moura e DAS, Ashok K. e FRENKEL, Josif. Fermion propagator in an external potential and generalized airy functions. MODERN PHYSICS LETTERS A, v. 32, n. 32, p. 1750171, 2017Tradução . . Disponível em: https://doi.org/10.1142/S0217732317501711. Acesso em: 31 out. 2024.
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      Britto, A. L. M., Das, A. K., & Frenkel, J. (2017). Fermion propagator in an external potential and generalized airy functions. MODERN PHYSICS LETTERS A, 32( 32), 1750171. doi:10.1142/S0217732317501711
    • NLM

      Britto ALM, Das AK, Frenkel J. Fermion propagator in an external potential and generalized airy functions [Internet]. MODERN PHYSICS LETTERS A. 2017 ; 32( 32): 1750171.[citado 2024 out. 31 ] Available from: https://doi.org/10.1142/S0217732317501711
    • Vancouver

      Britto ALM, Das AK, Frenkel J. Fermion propagator in an external potential and generalized airy functions [Internet]. MODERN PHYSICS LETTERS A. 2017 ; 32( 32): 1750171.[citado 2024 out. 31 ] Available from: https://doi.org/10.1142/S0217732317501711

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