MUC1 gene polymorphism in three Nelore lines selected for growth and its association with growth and carcass traits

The objective of this study was to describe the VNTR polymorphism of the mucin 1 gene (MUC1) in three Nelore lines selected for yearling weight to determine whether allele and genotype frequencies of this polymorphism were affected by selection for growth. In addition, the effects of the polymorphism on growth and carcass traits were evaluated. Birth, weaning and yearling weights, rump height, Longissimus muscle area, backfat thickness, and rump fat thickness, were analyzed. A total of 295 Nelore heifers from the Beef Cattle Research Center, Instituto de Zootecnia de Sertozinho, were used, including 41 of the control line, 102 of the selection line and 152 of the traditional. The selection and traditional lines comprise animals selected for higher yearling weight, whereas control line animals are selected for yearling weight close to the average. Five alleles were identified, with allele 1 being the most frequent in the three lines, especially in the lines selected for higher means for yearling weight. Heterozygosity was significantly higher in the control line. Association analyses showed significant effects of allele 1 on birth weight and weaning weight while the allele 3 exert significant effects on yearling weight and back fat thickness. Despite these findings, application of this marker to marker-assisted selection requires more consistent results based on the genotyping of a larger number of animals in order to increase the accuracy of the statistical analyses.

Dried Tomato-Flavored Probiotic Cream Cheese with Lactobacillus paracasei

A dried tomato-flavored probiotic cream cheese (P) containing Lactobacillus paracasei Lpc-37 was developed for the purpose of this study. The same product, but without probiotic addition (C) was used as control. Lactococcus lactis subsp. lactis and Lactococcus lactis subsp. cremoris were used as lactic starter cultures. Chemical composition analyses and sensory tests were performed on days 1 and 7, respectively. Titratable acidity, pH value and L. paracasei population were determined every 7 d during the refrigerated storage (21 d) of the cream cheeses. The experiment and analyses were performed in triplicate, using standard methods. Probiotic population remained greater than 10(7) CFU/g throughout the storage period, thereby characterizing the product as potentially probiotic. Cream cheeses C and P did not differ on the sensory tests, both obtaining good overall acceptance by the consumers, of which 82.6% stated that they certainly or probably would buy the product.

Doenças crônicas não transmissíveis no Brasil: prioridade para enfrentamento e investigação

As Doenças Crônicas Não Transmissíveis representam a maior carga de morbimortalidade no Brasil. Em 2011, o Ministério da Saúde lançou seu Plano de Ações Estratégicas para o Enfrentamento das Doenças Crônicas Não Transmissíveis, enfatizando ações populacionais para controlar as doenças cardiovasculares, diabetes, câncer e doença respiratória crônica, predominantemente pelo controle do fumo, inatividade física, alimentação inadequada e uso prejudicial de álcool. Apesar da produção científica significativa sobre essas doenças e seus fatores de risco no Brasil, poucos são os estudos de coorte nessa temática. Nesse contexto, o Estudo Longitudinal da Saúde do Adulto (ELSA-Brasil) acompanha 15.105 servidores públicos do País. Seus dados espelham a realidade brasileira de altas prevalências de diabetes e hipertensão e dos fatores de risco. A diversidade das informações produzidas permitirá aprofundar o entendimento causal dessas doenças e subsidiar políticas públicas para seu enfrentamento.

Inhibition of LDL-oxidation and antioxidant properties related to polyphenol content of hydrophilic fractions from seaweed Halimeda Incrassata (Ellis) Lamouroux

LDL oxidation and oxidative stress are closely related to atherosclerosis. Therefore, natural antioxidants have been studied as promising candidates. In the present study, the LDL oxidation inhibition activity of bioactive compounds from Halimeda incrassata seaweed. associated to antioxidant capacity, was evaluated in vitro. Experimental work was conducted with lyophilized aqueous extract and phenolic-rich fractions of the seaweed and their effect on LDL oxidation was evaluated using heparin-precipitated LDL (hep-LDL) with exposure to Cu2+ ions and AAPH as the free radical generator. H. incrassata had a protective effect for hep-LDL in both systems and the presence of phenolic compounds contributed to the activity where phenolic-rich fractions showed significant capacity for inhibition of oxidation mediated by Cu2+ ions. The observed effect could be related to the antioxidant potential of polar fractions evidenced by reducing activity and DPPH radical scavenging. The results obtained in vitro further support the antioxidant and LDL oxidation inhibition properties of H. incrassata and further knowledge toward future phytotherapeutic application of the seaweed.

Essays on Bayesian Inference for Social Networks

This thesis presents Bayesian solutions to inference problems for three types of social network data structures: a single observation of a social network, repeated observations on the same social network, and repeated observations on a social network developing through time. A social network is conceived as being a structure consisting of actors and their social interaction with each other. A common conceptualisation of social networks is to let the actors be represented by nodes in a graph with edges between pairs of nodes that are relationally tied to each other according to some definition. Statistical analysis of social networks is to a large extent concerned with modelling of these relational ties, which lends itself to empirical evaluation. The first paper deals with a family of statistical models for social networks called exponential random graphs that takes various structural features of the network into account. In general, the likelihood functions of exponential random graphs are only known up to a constant of proportionality. A procedure for performing Bayesian inference using Markov chain Monte Carlo (MCMC) methods is presented. The algorithm consists of two basic steps, one in which an ordinary Metropolis-Hastings up-dating step is used, and another in which an importance sampling scheme is used to calculate the acceptance probability of the Metropolis-Hastings step. In paper number two a method for modelling reports given by actors (or other informants) on their social interaction with others is investigated in a Bayesian framework. The model contains two basic ingredients: the unknown network structure and functions that link this unknown network structure to the reports given by the actors. These functions take the form of probit link functions. An intrinsic problem is that the model is not identified, meaning that there are combinations of values on the unknown structure and the parameters in the probit link functions that are observationally equivalent. Instead of using restrictions for achieving identification, it is proposed that the different observationally equivalent combinations of parameters and unknown structure be investigated a posteriori. Estimation of parameters is carried out using Gibbs sampling with a switching devise that enables transitions between posterior modal regions. The main goal of the procedures is to provide tools for comparisons of different model specifications. Papers 3 and 4, propose Bayesian methods for longitudinal social networks. The premise of the models investigated is that overall change in social networks occurs as a consequence of sequences of incremental changes. Models for the evolution of social networks using continuos-time Markov chains are meant to capture these dynamics. Paper 3 presents an MCMC algorithm for exploring the posteriors of parameters for such Markov chains. More specifically, the unobserved evolution of the network in-between observations is explicitly modelled thereby avoiding the need to deal with explicit formulas for the transition probabilities. This enables likelihood based parameter inference in a wider class of network evolution models than has been available before. Paper 4 builds on the proposed inference procedure of Paper 3 and demonstrates how to perform model selection for a class of network evolution models.

Middleware de equilibrio de carga para computación paralela sobre entornos heterogéneos LAN-WLAN

Programa de Doctorado: Tecnologí­as de las Telecomunicaciones

Estudio comparativo de los efectos madurativos de estimular en decúbito prono una muestra de bebés normales

El objetivo de esta tesis ha sido observar y examinar las repercusiones y consecuencias madurativasde colocar y estimular dos grupos de bebés en la postura de decúbito ventral los nueve primeros meses de vida. La investigación consistió en un estudio comparativo, prospectivo y longitudinal de una muestra respresentativa de 132 bebés normales nacidos en el Hospital universitario materno infantil de Canarias, distribuidos en dos grupos: uno experimental de 35 y otro de control de 97 (repartidos en tres subgrupos de 32, 31 y 34 bebés). Se encontraron significativas diferencias entre los dos grupos tanto en las puntuaciones directas de la tabla Alberta (AIMS), como en las cifras de percentil. Se analizaron como indicadores de cada período, el sostén cefálico a los 3 meses, el volteo a los 6 y el gateo a los 9 meses. Por la importancia que tienen como logros motores de cada etapa, los resultados fueron notorios. Se valoraron también las plagiocegalias posicionales y se constata que hay una relación inversa entre la incidencia de plagiocefalias posicionales y el hábito de poner a los bebés boca abajo desde los primeros meses de vida. De acuerdo a los datos que se derivan de la investigación se puede considerar que estimular boca abajo al lactante despierto, mejora la maduración motora y previene la plagiocefalia posicional.