Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies

This paper proposes the use of multiagent cooperation for solving global optimization problems through the introduction of a new multiagent environment, MANGO. The strength of the environment lays in itsflexible structure based on communicating software agents that attempt to solve a problem cooperatively. This structure allows the execution of a wide range of global optimization algorithms described as a set of interacting operations. At one extreme, MANGO welcomes an individual non-cooperating agent, which is basically the traditional way of solving a global optimization problem. At the other extreme, autonomous agents existing in the environment cooperate as they see fit during run time. We explain the development and communication tools provided in the environment as well as examples of agent realizations and cooperation scenarios. We also show how the multiagent structure is more effective than having a single nonlinear optimization algorithm with randomly selected initial points

A quantitative systems pharmacology consortium approach to managing immunogenicity of therapeutic proteins

Immunogenicity is a major challenge in drug development and patient care. Currently, most efforts are dedicated to the elimination of the unwanted immune responses through T‐cell epitope prediction and protein engineering. However, because it is unlikely that this approach will lead to complete eradication of immunogenicity, we propose that quantitative systems pharmacology models should be developed to predict and manage immunogenicity. The potential impact of such a mechanistic model‐based approach is precedented by applications of physiologically‐based pharmacokinetics

Altura da garupa e sua associação com características reprodutivas e de crescimento na raça Nelore Hip height and its relationships with reproductive and growth traits in Nelore cattle

O objetivo deste trabalho foi determinar os fatores que afetam a altura da garupa em diferentes idades, em bovinos Nelore, e estimar a herdabilidade e as correlações genéticas entre esse caractere e as características reprodutivas e de crescimento. Os caracteres avaliados foram: altura da garupa à desmama, altura da garupa ao sobreano, peso à desmama, peso ao sobreano, perímetro escrotal e idade ao primeiro parto. Os fatores considerados foram: ano e mês de nascimento, rebanho, sexo, idade da vaca ao parto e idade do bezerro. Os componentes de variância e covariância foram estimados pela metodologia de máxima verossimilhança restrita, tendo-se utilizado um modelo animal. Todos os efeitos foram significativos para altura de garupa nas diferentes idades. As estimativas de herdabilidade quanto ao efeito genético direto indicaram que as características de crescimento e reprodutivas respondem à seleção, exceto a idade ao primeiro parto. As correlações genéticas entre as características de crescimento foram todas positivas e elevadas, de 0,42 a 0,90, o que indica que são determinadas em grande parte pelos mesmos conjuntos de genes de ação aditiva. Em razão das baixas magnitudes das estimativas de correlação genética (entre -0,14 e 0,16), a eficiência reprodutiva é pouco influenciada pela seleção quanto à altura de garupa.<br>The objective of this work was to determine factors that affect hip height at different ages, in Nelore cattle, and to estimate the heritability and the genetic correlation between this character and reproductive and growth traits. The analyzed traits were: hip height at weaning, hip height at post weaning, weight at weaning, weight at post weaning, scrotal circumference, and age at first calving. The analyzed factors were: year and month of birth, herd, sex, age of dam at calving, and calf age. The variance covariance components were estimate by the restrict maximum likelihood methodology using animal model. All effects were significant for hip height at different ages. The heritability estimates for direct genetic effects indicated that the growth and reproductive traits respond to selection, except for age at first calving. The genetic correlations between growth traits were positive and high, from 0.42 to 0.90, which indicates that they are mostly determined by the same group of genes with additive action. Due to the low magnitude of the estimated genetic correlations, from -0.14 to 0.16, the reproductive efficiency is little influenced by selection for hip height