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FINGER, Marcelo e PRETO, Sandro. Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic. Journal of Logic and Computation, 2023Tradução . . Disponível em: https://doi.org/10.1093/logcom/exad059. Acesso em: 04 ago. 2024.
APA
Finger, M., & Preto, S. (2023). Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic. Journal of Logic and Computation. doi:10.1093/logcom/exad059
NLM
Finger M, Preto S. Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic [Internet]. Journal of Logic and Computation. 2023 ;[citado 2024 ago. 04 ] Available from: https://doi.org/10.1093/logcom/exad059
Vancouver
Finger M, Preto S. Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic [Internet]. Journal of Logic and Computation. 2023 ;[citado 2024 ago. 04 ] Available from: https://doi.org/10.1093/logcom/exad059
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SOUZA, Jackson José de et al. Selecting and ranking leading cases in Brazilian Supreme Court decisions. The Knowledge Engineering Review, v. 38, n. artigo e7, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1017/S0269888923000073. Acesso em: 04 ago. 2024.
APA
Souza, J. J. de, Finger, M., Araújo, J. A. A. de, & Maranhão, J. (2023). Selecting and ranking leading cases in Brazilian Supreme Court decisions. The Knowledge Engineering Review, 38( artigo e7), 1-18. doi:10.1017/S0269888923000073
NLM
Souza JJ de, Finger M, Araújo JAA de, Maranhão J. Selecting and ranking leading cases in Brazilian Supreme Court decisions [Internet]. The Knowledge Engineering Review. 2023 ; 38( artigo e7): 1-18.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1017/S0269888923000073
Vancouver
Souza JJ de, Finger M, Araújo JAA de, Maranhão J. Selecting and ranking leading cases in Brazilian Supreme Court decisions [Internet]. The Knowledge Engineering Review. 2023 ; 38( artigo e7): 1-18.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1017/S0269888923000073
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GUPTA, Shantanu e SILVEIRA, Daner Acunha e HASHIMOTO, Ronaldo Fumio. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma. Computational Biology and Chemistry, v. 106, p. 1-6, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.compbiolchem.2023.107926. Acesso em: 04 ago. 2024.
APA
Gupta, S., Silveira, D. A., & Hashimoto, R. F. (2023). A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma. Computational Biology and Chemistry, 106, 1-6. doi:10.1016/j.compbiolchem.2023.107926
NLM
Gupta S, Silveira DA, Hashimoto RF. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma [Internet]. Computational Biology and Chemistry. 2023 ; 106 1-6.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1016/j.compbiolchem.2023.107926
Vancouver
Gupta S, Silveira DA, Hashimoto RF. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma [Internet]. Computational Biology and Chemistry. 2023 ; 106 1-6.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1016/j.compbiolchem.2023.107926
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PRETO, Sandro e FINGER, Marcelo. Proving properties of binary classification neural networks via Łukasiewicz logic. Logic Journal of the IGPL, v. 31, n. 5, p. 805-821, 2023Tradução . . Disponível em: https://doi.org/10.1093/jigpal/jzac050. Acesso em: 04 ago. 2024.
APA
Preto, S., & Finger, M. (2023). Proving properties of binary classification neural networks via Łukasiewicz logic. Logic Journal of the IGPL, 31( 5), 805-821. doi:10.1093/jigpal/jzac050
NLM
Preto S, Finger M. Proving properties of binary classification neural networks via Łukasiewicz logic [Internet]. Logic Journal of the IGPL. 2023 ; 31( 5): 805-821.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1093/jigpal/jzac050
Vancouver
Preto S, Finger M. Proving properties of binary classification neural networks via Łukasiewicz logic [Internet]. Logic Journal of the IGPL. 2023 ; 31( 5): 805-821.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1093/jigpal/jzac050
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MORETTI, Eduardo Hermógenes et al. Autoregulation of blood flow drives early hypotension in a rat model of systemic inflammation induced by bacterial lipopolysaccharide. PNAS Nexus, v. 2, n. 2, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1093/pnasnexus/pgad014. Acesso em: 04 ago. 2024.
APA
Moretti, E. H., Rodrigues, A. C., Marques, B. V. D., Lopes, L. B., Moreira, T. dos S., Akamine, E. H., et al. (2023). Autoregulation of blood flow drives early hypotension in a rat model of systemic inflammation induced by bacterial lipopolysaccharide. PNAS Nexus, 2( 2), 1-13. doi:10.1093/pnasnexus/pgad014
NLM
Moretti EH, Rodrigues AC, Marques BVD, Lopes LB, Moreira T dos S, Akamine EH, Baccala LA, Fujita A, Steiner AA. Autoregulation of blood flow drives early hypotension in a rat model of systemic inflammation induced by bacterial lipopolysaccharide [Internet]. PNAS Nexus. 2023 ; 2( 2): 1-13.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1093/pnasnexus/pgad014
Vancouver
Moretti EH, Rodrigues AC, Marques BVD, Lopes LB, Moreira T dos S, Akamine EH, Baccala LA, Fujita A, Steiner AA. Autoregulation of blood flow drives early hypotension in a rat model of systemic inflammation induced by bacterial lipopolysaccharide [Internet]. PNAS Nexus. 2023 ; 2( 2): 1-13.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1093/pnasnexus/pgad014
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TOKUDA, Eric Keiji et al. Estimating the effects of urban green regions in terms of diffusion. Environment and Planning B: urban analytics and city science, v. 50, n. 4, p. 1023-1038, 2023Tradução . . Disponível em: https://doi.org/10.1177/23998083221131572. Acesso em: 04 ago. 2024.
APA
Tokuda, E. K., Arruda, H. F. de, Domingues, G. S., Costa, L. da F., Shibata, F. A. S., Cesar Junior, R. M., & Comin, C. H. (2023). Estimating the effects of urban green regions in terms of diffusion. Environment and Planning B: urban analytics and city science, 50( 4), 1023-1038. doi:10.1177/23998083221131572
NLM
Tokuda EK, Arruda HF de, Domingues GS, Costa L da F, Shibata FAS, Cesar Junior RM, Comin CH. Estimating the effects of urban green regions in terms of diffusion [Internet]. Environment and Planning B: urban analytics and city science. 2023 ; 50( 4): 1023-1038.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1177/23998083221131572
Vancouver
Tokuda EK, Arruda HF de, Domingues GS, Costa L da F, Shibata FAS, Cesar Junior RM, Comin CH. Estimating the effects of urban green regions in terms of diffusion [Internet]. Environment and Planning B: urban analytics and city science. 2023 ; 50( 4): 1023-1038.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1177/23998083221131572
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CUNHA, Mateus Trinconi et al. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study. Cancer Medicine, v. 12, n. 4, p. 5099-5109, 2023Tradução . . Disponível em: https://doi.org/10.1002/cam4.5254. Acesso em: 04 ago. 2024.
APA
Cunha, M. T., Borges, A. P. de S., Carvalho, V. J., Fujita, A., & Castro Junior, G. de C. (2023). Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study. Cancer Medicine, 12( 4), 5099-5109. doi:10.1002/cam4.5254
NLM
Cunha MT, Borges AP de S, Carvalho VJ, Fujita A, Castro Junior G de C. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study [Internet]. Cancer Medicine. 2023 ; 12( 4): 5099-5109.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1002/cam4.5254
Vancouver
Cunha MT, Borges AP de S, Carvalho VJ, Fujita A, Castro Junior G de C. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study [Internet]. Cancer Medicine. 2023 ; 12( 4): 5099-5109.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1002/cam4.5254
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RODRIGUES, Natália Villa Nova e ABRAMO, L. Raul e HIRATA, Nina Sumiko Tomita. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, v. 4, n. artigo 045019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-2153/ad0285. Acesso em: 04 ago. 2024.
APA
Rodrigues, N. V. N., Abramo, L. R., & Hirata, N. S. T. (2023). The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, 4( artigo 045019), 1-26. doi:10.1088/2632-2153/ad0285
NLM
Rodrigues NVN, Abramo LR, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
Vancouver
Rodrigues NVN, Abramo LR, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
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RELVAS, Carlos E. M. et al. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, v. 21, n. artigo 2350019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1142/S0219720023500191. Acesso em: 04 ago. 2024.
APA
Relvas, C. E. M., Nakata, A., Chen, G., Beer, D. G., Gotoh, N., & Fujita, A. (2023). A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, 21( artigo 2350019), 1-26. doi:10.1142/S0219720023500191
NLM
Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1142/S0219720023500191
Vancouver
Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1142/S0219720023500191
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SALVATORE, Felipe de Souza et al. A resampling-based method to evaluate NLI models. Natural Language Engineering, 2023Tradução . . Disponível em: https://doi.org/10.1017/S1351324923000268. Acesso em: 04 ago. 2024.
APA
Salvatore, F. de S., Finger, M., Hirata Júnior, R., & Patriota, A. G. (2023). A resampling-based method to evaluate NLI models. Natural Language Engineering. doi:10.1017/S1351324923000268
NLM
Salvatore F de S, Finger M, Hirata Júnior R, Patriota AG. A resampling-based method to evaluate NLI models [Internet]. Natural Language Engineering. 2023 ;[citado 2024 ago. 04 ] Available from: https://doi.org/10.1017/S1351324923000268
Vancouver
Salvatore F de S, Finger M, Hirata Júnior R, Patriota AG. A resampling-based method to evaluate NLI models [Internet]. Natural Language Engineering. 2023 ;[citado 2024 ago. 04 ] Available from: https://doi.org/10.1017/S1351324923000268
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GUZMAN, Grover Enrique Castro e FUJITA, André. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity. Journal of Complex Networks, v. 11, n. 2, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnad005. Acesso em: 04 ago. 2024.
APA
Guzman, G. E. C., & Fujita, A. (2023). A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity. Journal of Complex Networks, 11( 2), 1-15. doi:10.1093/comnet/cnad005
NLM
Guzman GEC, Fujita A. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity [Internet]. Journal of Complex Networks. 2023 ; 11( 2): 1-15.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1093/comnet/cnad005
Vancouver
Guzman GEC, Fujita A. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity [Internet]. Journal of Complex Networks. 2023 ; 11( 2): 1-15.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1093/comnet/cnad005
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BANDO, Silvia Yumi et al. Transcriptomic analysis reveals distinct adaptive molecular mechanism in the hippocampal CA3 from rats susceptible or not-susceptible to hyperthermia-induced seizures. Scientific Reports, v. 13, n. artigo 10265, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-37535-w. Acesso em: 04 ago. 2024.
APA
Bando, S. Y., Bertonha, F. B., Menezes, P. H. N., Takahara, A. K., Khaled, N. A., Santos, P., et al. (2023). Transcriptomic analysis reveals distinct adaptive molecular mechanism in the hippocampal CA3 from rats susceptible or not-susceptible to hyperthermia-induced seizures. Scientific Reports, 13( artigo 10265), 1-18. doi:10.1038/s41598-023-37535-w
NLM
Bando SY, Bertonha FB, Menezes PHN, Takahara AK, Khaled NA, Santos P, Junqueira MS, César Júnior RM, Moreira-Filho CA. Transcriptomic analysis reveals distinct adaptive molecular mechanism in the hippocampal CA3 from rats susceptible or not-susceptible to hyperthermia-induced seizures [Internet]. Scientific Reports. 2023 ; 13( artigo 10265): 1-18.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1038/s41598-023-37535-w
Vancouver
Bando SY, Bertonha FB, Menezes PHN, Takahara AK, Khaled NA, Santos P, Junqueira MS, César Júnior RM, Moreira-Filho CA. Transcriptomic analysis reveals distinct adaptive molecular mechanism in the hippocampal CA3 from rats susceptible or not-susceptible to hyperthermia-induced seizures [Internet]. Scientific Reports. 2023 ; 13( artigo 10265): 1-18.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1038/s41598-023-37535-w
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BANDO, Silvia Yumi et al. Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients. Scientifc Reports, v. 13, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-28227-6. Acesso em: 04 ago. 2024.
APA
Bando, S. Y., Bertonha, F. B., Vieira, S. E., Durigon, D. B. L. de O., Chalup, V. N., Palmeira, P., et al. (2023). Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients. Scientifc Reports, 13, 1-17. doi:10.1038/s41598-023-28227-6
NLM
Bando SY, Bertonha FB, Vieira SE, Durigon DBL de O, Chalup VN, Palmeira P, Curi ACPC, Faria CS, Lauterbach GP, Regalio FA, Durigon EL, Jorge PPD, Antonangelo L, Cesar Junior RM, Moreira Filho CA. Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients [Internet]. Scientifc Reports. 2023 ; 13 1-17.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1038/s41598-023-28227-6
Vancouver
Bando SY, Bertonha FB, Vieira SE, Durigon DBL de O, Chalup VN, Palmeira P, Curi ACPC, Faria CS, Lauterbach GP, Regalio FA, Durigon EL, Jorge PPD, Antonangelo L, Cesar Junior RM, Moreira Filho CA. Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients [Internet]. Scientifc Reports. 2023 ; 13 1-17.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1038/s41598-023-28227-6
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GUPTA, Shantanu et al. Dynamical modeling of miR‑34a, miR‑449a, and miR‑16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells. Scientific Reports, v. 12, n. artigo 4911, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-08900-y. Acesso em: 04 ago. 2024.
APA
Gupta, S., Panda, P. K., Hashimoto, R. F., Samal, S. K., Mishra, S., Verma, S. K., et al. (2022). Dynamical modeling of miR‑34a, miR‑449a, and miR‑16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells. Scientific Reports, 12( artigo 4911), 1-13. doi:10.1038/s41598-022-08900-y
NLM
Gupta S, Panda PK, Hashimoto RF, Samal SK, Mishra S, Verma SK, Mishra YK, Ahuja R. Dynamical modeling of miR‑34a, miR‑449a, and miR‑16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells [Internet]. Scientific Reports. 2022 ; 12( artigo 4911): 1-13.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1038/s41598-022-08900-y
Vancouver
Gupta S, Panda PK, Hashimoto RF, Samal SK, Mishra S, Verma SK, Mishra YK, Ahuja R. Dynamical modeling of miR‑34a, miR‑449a, and miR‑16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells [Internet]. Scientific Reports. 2022 ; 12( artigo 4911): 1-13.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1038/s41598-022-08900-y
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BIRGIN, Ernesto Julian Goldberg e BUENO, Luís Felipe e MARTÍNEZ, José Mário. On the complexity of solving feasibility problems with regularized models. Optimization Methods and Software, v. 37, n. 2, p. 405-424, 2022Tradução . . Disponível em: https://doi.org/10.1080/10556788.2020.1786564. Acesso em: 04 ago. 2024.
APA
Birgin, E. J. G., Bueno, L. F., & Martínez, J. M. (2022). On the complexity of solving feasibility problems with regularized models. Optimization Methods and Software, 37( 2), 405-424. doi:10.1080/10556788.2020.1786564
NLM
Birgin EJG, Bueno LF, Martínez JM. On the complexity of solving feasibility problems with regularized models [Internet]. Optimization Methods and Software. 2022 ; 37( 2): 405-424.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1080/10556788.2020.1786564
Vancouver
Birgin EJG, Bueno LF, Martínez JM. On the complexity of solving feasibility problems with regularized models [Internet]. Optimization Methods and Software. 2022 ; 37( 2): 405-424.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1080/10556788.2020.1786564
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MORAIS, Mauro César Cafundó et al. Automatic detection of the parasite Trypanosoma cruzi in blood smears using a machine learning approach applied to mobile phone images. PeerJ, v. 10, p. e13470-1-e13470-19, 2022Tradução . . Disponível em: https://doi.org/10.7717/peerj.13470. Acesso em: 04 ago. 2024.
APA
Morais, M. C. C., Silva, D., Milagre, M. M., Oliveira, M. T. de, Pereira, T., Silva, J. S. da, et al. (2022). Automatic detection of the parasite Trypanosoma cruzi in blood smears using a machine learning approach applied to mobile phone images. PeerJ, 10, e13470-1-e13470-19. doi:10.7717/peerj.13470
NLM
Morais MCC, Silva D, Milagre MM, Oliveira MT de, Pereira T, Silva JS da, Costa L da F, Minóprio P, César Júnior RM, Gazzinelli R, Lana M de, Nakaya HTI. Automatic detection of the parasite Trypanosoma cruzi in blood smears using a machine learning approach applied to mobile phone images [Internet]. PeerJ. 2022 ; 10 e13470-1-e13470-19.[citado 2024 ago. 04 ] Available from: https://doi.org/10.7717/peerj.13470
Vancouver
Morais MCC, Silva D, Milagre MM, Oliveira MT de, Pereira T, Silva JS da, Costa L da F, Minóprio P, César Júnior RM, Gazzinelli R, Lana M de, Nakaya HTI. Automatic detection of the parasite Trypanosoma cruzi in blood smears using a machine learning approach applied to mobile phone images [Internet]. PeerJ. 2022 ; 10 e13470-1-e13470-19.[citado 2024 ago. 04 ] Available from: https://doi.org/10.7717/peerj.13470
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KAWASHIMA, IrinaYuri et al. SARS‑CoV‑2 host prediction based on virus‑host genetic features. Scientific Reports, v. 12, n. artigo 4576, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-08350-6. Acesso em: 04 ago. 2024.
APA
Kawashima, I. Y., Lopez, M. C. N., Cunha, M. dos P., & Hashimoto, R. F. (2022). SARS‑CoV‑2 host prediction based on virus‑host genetic features. Scientific Reports, 12( artigo 4576), 1-9. doi:10.1038/s41598-022-08350-6
NLM
Kawashima IY, Lopez MCN, Cunha M dos P, Hashimoto RF. SARS‑CoV‑2 host prediction based on virus‑host genetic features [Internet]. Scientific Reports. 2022 ; 12( artigo 4576): 1-9.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1038/s41598-022-08350-6
Vancouver
Kawashima IY, Lopez MCN, Cunha M dos P, Hashimoto RF. SARS‑CoV‑2 host prediction based on virus‑host genetic features [Internet]. Scientific Reports. 2022 ; 12( artigo 4576): 1-9.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1038/s41598-022-08350-6
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PRETO, Sandro e FINGER, Marcelo. Efficient representation of piecewise linear functions into Łukasiewicz logic modulo satisfiability. Mathematical Structures in Computer Science, v. 32, n. 9, p. 1119-1144, 2022Tradução . . Disponível em: https://doi.org/10.1017/S096012952200010X. Acesso em: 04 ago. 2024.
APA
Preto, S., & Finger, M. (2022). Efficient representation of piecewise linear functions into Łukasiewicz logic modulo satisfiability. Mathematical Structures in Computer Science, 32( 9), 1119-1144. doi:10.1017/S096012952200010X
NLM
Preto S, Finger M. Efficient representation of piecewise linear functions into Łukasiewicz logic modulo satisfiability [Internet]. Mathematical Structures in Computer Science. 2022 ; 32( 9): 1119-1144.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1017/S096012952200010X
Vancouver
Preto S, Finger M. Efficient representation of piecewise linear functions into Łukasiewicz logic modulo satisfiability [Internet]. Mathematical Structures in Computer Science. 2022 ; 32( 9): 1119-1144.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1017/S096012952200010X
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GUZMAN, Grover Enrique Castro e TAKAHASHI, Daniel Yasumasa e FUJITA, André. A fast parameter estimator for large complex networks. Journal of Complex Networks, v. 10, n. artigo cnac022. p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnac022. Acesso em: 04 ago. 2024.
APA
Guzman, G. E. C., Takahashi, D. Y., & Fujita, A. (2022). A fast parameter estimator for large complex networks. Journal of Complex Networks, 10( artigo cnac022. p. 1-11). doi:10.1093/comnet/cnac022
NLM
Guzman GEC, Takahashi DY, Fujita A. A fast parameter estimator for large complex networks [Internet]. Journal of Complex Networks. 2022 ; 10( artigo cnac022. p. 1-11):[citado 2024 ago. 04 ] Available from: https://doi.org/10.1093/comnet/cnac022
Vancouver
Guzman GEC, Takahashi DY, Fujita A. A fast parameter estimator for large complex networks [Internet]. Journal of Complex Networks. 2022 ; 10( artigo cnac022. p. 1-11):[citado 2024 ago. 04 ] Available from: https://doi.org/10.1093/comnet/cnac022
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COSTA, Diogo Ricardo da et al. Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards. Chaos, Solitons & Fractals, v. 155, n. artigo 111707, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111707. Acesso em: 04 ago. 2024.
APA
Costa, D. R. da, Fujita, A., Batista, A. M., Sales, M. R., & Szezech Junior, J. D. (2022). Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards. Chaos, Solitons & Fractals, 155( artigo 111707), 1-8. doi:10.1016/j.chaos.2021.111707
NLM
Costa DR da, Fujita A, Batista AM, Sales MR, Szezech Junior JD. Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards [Internet]. Chaos, Solitons & Fractals. 2022 ; 155( artigo 111707): 1-8.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1016/j.chaos.2021.111707
Vancouver
Costa DR da, Fujita A, Batista AM, Sales MR, Szezech Junior JD. Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards [Internet]. Chaos, Solitons & Fractals. 2022 ; 155( artigo 111707): 1-8.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1016/j.chaos.2021.111707