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We make two fits of an ODE system with 5 equations that model immune response by CD4 + T cells with the presence of regulatory T cells (Tregs). We fit the simulations to data regarding gp61 and NP309 epitopes from mice infected with lymphocytic choriomeningitis virus LCMV. We optimized parameters relating to: the T cell maximum growth rate; the T cell capacity; the T cell homeostatic level; and the ending time of the immune activation phase after infection. We quantitatively and qualitatively compare the obtained results with previous fits in the literature using different ODE models and we show that we are able to calibrate the model and obtain good fits describing the data. (c) 2021, Springer Nature Switzerland AG.

Submitted by Guilherme Lemeszenski (guilherme@nead.unesp.br) on 2013-08-22T19:08:06Z No. of bitstreams: 0 Made available in DSpace on 2013-08-22T19:08:06Z (GMT). No. of bitstreams: 0 Previous issue date: 2001-01-01 Made available in DSpace on 2013-09-30T20:13:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2001-01-01 Submitted by Vitor Silverio Rodrigues (vitorsrodrigues@reitoria.unesp.br) on 2014-05-20T15:18:26Z No. of bitstreams: 0 Made available in DSpace on 2014-05-20T15:18:26Z (GMT). No. of bitstreams: 0 Previous issue date: 2001-01-01 No presente estudo, foram vacinados 150 frangos de corte de um dia de idade com sorotipo H120, e, após 28 dias desafiados à vacinação com o sorotipo M 41 do vírus da bronquite infecciosa das aves. da mesma forma, foram obtidos 150 soros de aves não vacinadas para a análise. Os respectivos soros foram analisados 28, 34 e 46 dias após o desafio, examinados através das técnicas de ELISA indireto (ELISA-I), Sandwich ELISA (S-ELISA) e ELISA com bloqueio de fase líquida (ELISA-BFL) e comparados com a técnica padrão de soroneutralização (SN) para efeito de cálculo da especificidade e sensibilidade relativas, bem como os valores predictivos positivos e negativos. O cálculo do coeficiente de correlação também foi empregado para a análise de concordância. Assim, os valores da correlação encontrados foram r = 0.98 entre ELISA-BFL x SNT, r = 0.79 entre S-ELISA x SNT e r = 0.74 ELISA-I x SNT. No entanto, quando comparamos as técnicas de ELISA entre si, ELISA-BFL x S-ELISA, ELISA-BFL x ELISA-I e S-ELISA x ELISA-I os valores encontrados foram r = 0.75, r = 0.69 e r = 0.79. A técnica de ELISA-BFL demonstrou melhor sensibilidade relativa que as técnicas de S-ELISA e ELISA-I, mesmo 46 dias após o desafio com a estirpe heteróloga. Entretanto, apesar das técnicas de S-ELISA e ELISA-I apresentarem especificidade realtiva superiores, a melhor correlação observada foi entre as técnicas de ELISA-BFL e a SN. Broilers were spray-vaccinated (n=150) with H120 serotype at one-day-old, challenged after 28 days with M41 IBV serotype and after bled at day 28, 34 and 46 after challenged. The respective sera were tested by the indirect ELISA (I-ELISA), sandwich ELISA (S-ELISA), liquid phase blocking ELISA (LPB-ELISA) and the standard serum neutralization test (SNT). For this purpose, a total of 300 sera samples, 150 from non vaccinated and 150 from vaccinated broilers were titrated by all the serological methods and the correlation coefficients were determined. The correlation values (r) between LPB-ELISA x SNT, S-ELISA x SNT, I-ELISA x SNT found werer = 0.98, r = 0.79, and r = 0.74, respectively. Nevertheless, the r between LPB-ELISA x S-ELISA, LPB-ELISA x I-ELISA and S-ELISA x I-ELISA were r = 0.75, r = 0.69 and r = 0.79. In fact , the I-ELISA and the S-ELISA had almost the same correlation with S-ELISA and LPB-ELISA, in contrast with the I-ELISA and LPB-ELISA. It was concluded that LPB-ELISA showed better sensitivity than I-ELISA and S-ELISA, also after 46 days challenge with the heterologous serotype. However, these two last techniques demonstrated similar specificity when the titers were compared with those obtained in SNT, even though after the heterologous serotype challenge the SNT produced better results. This study demonstrated the close relationship between LPB-ELISA and SNT assays. UNESP, Laboratório Multiusuário de Imunodiagnóstico Faculdade de Odontologia Produção e Saúde Animal UNESP Laboratório de Imunologia e Virologia FCAV UNESP, Laboratório Multiusuário de Imunodiagnóstico Faculdade de Odontologia Produção e Saúde Animal UNESP Laboratório de Imunologia e Virologia FCAV

Sullivan's scaling function provides a complete description of the smooth conjugacy classes of cookie-cutters. However, for smooth conjugacy classes of Markov maps on a train track, such as expanding circle maps and train track mappings induced by pseudo-Anosov systems, the generalisation of the scaling function suffers from a deficiency. It is difficult to characterise the structure of the set of those scaling functions which correspond to smooth mappings. We introduce a new invariant for Markov maps called the solenoid function. We prove that for any prescribed topological structure, there is a one-to-one correspondence between smooth conjugacy classes of smooth Markov maps and pseudo-Holder solenoid functions. This gives a characterisation of the moduli space for smooth conjugacy classes of smooth Markov maps. For smooth expanding maps of the circle with degree d this moduli space is the space of Holder continuous functions on the space {O,..., d - 1}(N) satisfying the matching condition.

We classify the C-1+alpha structures on embedded trees. This extends the results of Sullivan on embeddings of the binary tree to trees with arbitrary topology and to embeddings without bounded geometry and with contact points. We used these results in an earlier paper to describe the moduli spaces of smooth conjugacy classes of expanding maps and Markov maps on train tracks. In later papers we will use those results to do the same for pseudo-Anosov diffeomorphisms of surfaces. These results are also used in the classification of renormalisation limits of C-1+alpha diffeomorphisms of the circle.

International Conference on Dynamical Systems and Game Theory in Honor of Mauricio Peixoto and David Rand -- SEP 08-12, 2008 -- Univ Minho, Braga, PORTUGAL, WOS: 000393993000035, We consider dynamical gene-environment networks under ellipsoidal uncertainty and discuss the corresponding set-theoretic regression models. Clustering techniques are applied for an identification of functionally related groups of genes and environmental factors. Clusters can partially overlap as single genes possibly regulate multiple groups of data items. The uncertain states of cluster elements are represented in terms of ellipsoids referring to stochastic dependencies between the multivariate data variables. The time-dependent behaviour of the system variables and clusters is determined by a regulatory system with (affine-) linear coupling rules. Explicit representations of the uncertain multivariate future states of the system are calculated by ellipsoidal calculus. Various set-theoretic regression models are introduced in order to estimate the unknown system parameters. Hereby, we extend our Ellipsoidal Operations Research previously introduced for gene-environment networks of strictly disjoint clusters to possibly overlapping clusters. We analyze the corresponding optimization problems, in particular in view of their solvability by interior point methods and semidefinite programming and we conclude with a discussion of structural frontiers and future research challenges.