6 resultados para CATIA V6
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
The present work has an objective of investigate the acceptability of consumption of the goat meat and studies the perception of university students on the productive sector of goats in the Northeast. The habit to eat goat meat has strong regional traditions and has been suffering the demographic, cultural, economic and personal influences. Currently, a new habit in the food consumers is observed and has been configuring itself a trend that concern with the health and welfare in general, in countries mainly developed. This fact comes directly contributing for the modernization of the production models, including the ambient conscience. The methodology applied includes bibliographical research, data-collecting through questionnaires applied in the UFRN (Federal University of Rio Grande do Norte ) and analysis of the data using statistic techniques assisted for software Statistica V6. It is concluded that the rate of consumption of goat meat is low in the population studied. The frequency of consumption is higher in times of leisure or to visit relatives. The descriptive analysis of the responses of interviewees shows ignorance of the production of goat meat and its importance to the state of Rio Grande do Norte.
Resumo:
This research deals with the insertion of the portfolio as a resource to the development of the reflective action in training teachers of English as a Foreign Language (EFL). Its goal is to characterize linguistic marks that show the reflective process in learning narratives collected in portfolios following the considerations of the ideational metafunction of the Systemic-Functional Grammar (SFG) by Halliday (1994). Within the scope of analysis offered by SFG, the system of transitivity was chosen attempting to observe and study the lexicogrammatical choices made by participants to produce their learning narratives. The corpus was composed of twenty-six learning narratives produced by thirteen participants into two distinct modules, designated here as "First Assessment" and "Final Assessment. The analysis were performed using procedures related to Corpus Linguistics, with the aid of the computer resource WordSmith Tools 5.0 (Scott, 1999). The results seems to indicate that preservice teachers, when asked to reflect on activities written on the classroom, use in their narratives a significant majority of mental processes instead of material processes that are common in narratives from other nature. Meanwhile, the use of a portfolio in teacher training in EFL, can be considered as a trigger reflection tool, which allows future teachers' effective monitoring of all their learning process
Resumo:
In this work, we studied the strong consistency for a class of estimates for a transition density of a Markov chain with general state space E ⊂ Rd. The strong ergodicity of the estimates for the density transition is obtained from the strong consistency of the kernel estimates for both the marginal density p(:) of the chain and the joint density q(., .). In this work the Markov chain is supposed to be homogeneous, uniformly ergodic and possessing a stationary density p(.,.)
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Resumo:
In the work reported here we present theoretical and numerical results about a Risk Model with Interest Rate and Proportional Reinsurance based on the article Inequalities for the ruin probability in a controlled discrete-time risk process by Ros ario Romera and Maikol Diasparra (see [5]). Recursive and integral equations as well as upper bounds for the Ruin Probability are given considering three di erent approaches, namely, classical Lundberg inequality, Inductive approach and Martingale approach. Density estimation techniques (non-parametrics) are used to derive upper bounds for the Ruin Probability and the algorithms used in the simulation are presented
Resumo:
The central objective of a study Non-Homogeneous Markov Chains is the concept of weak and strong ergodicity. A chain is weak ergodic if the dependence on the initial distribution vanishes with time, and it is strong ergodic if it is weak ergodic and converges in distribution. Most theoretical results on strong ergodicity assume some knowledge of the limit behavior of the stationary distributions. In this work, we collect some general results on weak and strong ergodicity for chains with space enumerable states, and also study the asymptotic behavior of the stationary distributions of a particular type of Markov Chains with finite state space, called Markov Chains with Rare Transitions