Behavioral study of Cebus nigritus (Goldfuss, 1809) (Primates, Cebidae) in captivity

The objective of this study was to describe the behavior of Cebus nigritus kept in captivity. The work, carried out during the month of March 2008 at "Dr. Belrio Guimaraes Brandao" County Zoo in GarYa- SP and Monte Alegre Farm Ecological Park in Telemaco Borba- PR, included 48 hours of observations, divided equally in four daytime periods. The behavioral catalogue used was constituted of different categories such as: foraging, feeding, locomotion, rest, social interaction, physical care, alertness, manipulation of things, reproductive behavior and stereotyped behavior. Animals showed activities of foraging, feeding, and locomotion and social interaction in low percentages in the two morning periods; however, their frequencies increased in the afternoon. Other activities like physical care, alertness and stereotyped behavior appeared mainly in the two morning periods, but were reduced in the afternoon. The rest category was more evident early morning and late afternoon. Since the stereotypical behavior presented high percentages, this study recommends that the number of individuals be diversiied in the social organization of the groups and that environment enriching activities be developed in captivity, creating situations similar to the animal's natural habitat.

Estudo do método Monte Carlo e sua aplicação no modelo SIR

In this work we present a discussion and the results of the simulation of disease spread using the Monte Carlo method. The dissemination model is the SIR model and presents as main characteristic the disease evolution among individuals of the population subdivided into three groups: susceptible (S), infected (I) and recovered (R). The technique used is based on the introduction of transition probabilities S-> I and I->R to do the spread of the disease, they are governed by a Poisson distribution. The simulation of the spread of disease was based on the randomness introduced, taking into account two basic parameters of the model, the power of infection and average time of the disease. Considering appropriate values of these parameters, the results are presented graphically and analysis of these results gives information on a group of individuals react to the changes of these parameters and what are the chances of a disease becoming a pandemic