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dc.contributor.authorCASTRO, A. dept_BR
dc.contributor.authorFRONZA, C. F.pt_BR
dc.contributor.authorANSELMO, J.pt_BR
dc.date.accessioned2014-11-10T11:11:11Zpt_BR
dc.date.available2014-11-10T11:11:11Zpt_BR
dc.date.created2014-11-10pt_BR
dc.date.issued2014pt_BR
dc.identifier.citationInternational Journal of Engineering Research and Applications, Delhi, v. 4, n. 9, p. 117-130, Sept. 2014.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/999572pt_BR
dc.descriptionIn this paper, a discrete mathematical model inspired by control mechanisms is used to explore the factors potentially responsible for maximum immunization capacity in mammals. The results have been discussed in light of recent work, and refer to the adoption of parameter values chosen among data gathered from the literature. The model used in this study took into consideration that the immune system is a network of molecules and cells that can recognize itself.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectCélulas Bpt_BR
dc.subjectMemória imunept_BR
dc.subjectImmune memorypt_BR
dc.subjectHomeostatic turnoverpt_BR
dc.subjectEquilíbrio homeostáticopt_BR
dc.titleComputational approach of the homeostatic turnover of memory B cells.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2014-11-13T11:11:11Zpt_BR
dc.subject.thesagroModelo matemáticopt_BR
dc.subject.nalthesaurusMathematical modelspt_BR
dc.subject.nalthesaurusMemorypt_BR
riaa.ainfo.id999572pt_BR
riaa.ainfo.lastupdate2014-11-13pt_BR
dc.contributor.institutionALEXANDRE DE CASTRO, CNPTIA; CARLOS FREDERICO FRONZA, Fronza Engenharia Gestão E Desenvolvimento Tecnológico; JANIO ANSELMO, Fronza Engenharia Gestão E Desenvolvimento Tecnológico.pt_BR
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