Sobrevivência e tamanho populacional do Tiê-preto Tachyphonus Rufus (aves: thraupidae) em fragmento de restinga no extremo Norte da Mata Atlântica

For a long time, we believed in the pattern that tropical and south hemisphere species have high survival. Nowadays results began to contradict this pattern, indicating the need for further studies. Despite the advanced state of the study of bird population parameters, little is known about their variation throughout the year and the factors affecting them. Reproduction, for example, is one factor that may alter adult survival rates, because during this process the breeding pair allocates resources to maintain itself to maintain offspring, making itself more susceptible to diseases and predation. The aim of this study was to estimate survival and population size of a Central and South America passerine, Tachyphonus rufus (Boddaert, 1783), testing hypotheses about the factors that define these parameters. We performed data collection between Nov/2010 and ago/2012 in 12 ha plot, in a fragment of Atlantic Forest in northeastern Brazil. We used capture-mark-recapture methods to generate estimates using Closed Design Robust model in the program MARK. We generated Multi-state models to test some assumptions inherent to Closed Robust Design. The influence of co-variables (time, rain and reproductive cycle) and the effect of transient individuals were measured. Capture, recapture and apparent survival parameters were defined by reproductive cycle, while temporary dispersal was influence by rain. The estimates showed a higher apparent survival during the non-breeding period (92% ± 1%) than during breeding (40% ± 9%), revealing a cost of reproduction and suggesting a trade-off between surviving and reproducing. The low annual survival observed (34%) did not corroborate the pattern of high rates expected for a tropical bird. The largest population size was estimated to be 56 individuals in Nov/11, explained by high recruitment of juveniles, while the lowest observed in May/12: 10 individuals, probably as a result of massive influx of competitor species. Results from this study add to the growing literature on life history of Neotropical species. We encourage studies like this especially in Brazil, where there are few information, and suggest that covariates related to habitat quality and environmental changes should be tested, so that we can generate increasingly reliable models

Suporte ao uso de álcool e drogas na atenção primária: um estudo com equipes de Natal/RN

National surveys indicate that 6.8 % of the brazilian population is dependent on alcohol and 1 % dependent on illicit drugs, representing a significant portion of the population affected by this issue . Primary Care becomes instrumental in expanding the coverage of this demand and in reducing unnecessary referrals for specialized care. This study aimed to investigate the responsiveness and institutional support of Primary Care Teams in relation to the demands of alcohol and drugs users. The research was conducted in a Family Health Unit in West Sanitary District of Natal City. With quantitative and qualitative nature, our study consisted of two stages. At first, we performed a mapping of alcohol and other drugs abusive use in a sample of the population assisted by Family Heath Teams, using sociodemographic questionnaire and ASSIST (Alcohol, Smoking and Substance Involvement Screening Test). 406 questionnaires were completed. Of these questionnaires, 27.8% are men and 72.2% women, of which 56% are between 20 and 39 years-old, they are housewives, have a stable relationship and are consumers of tobacco (37.6%), marijuana (13%) and especially alcohol (57%). In second stage, two Conversation Circles with Family Health Teams and the referential Family Health Support Center were formed to discuss the data of the mapping realized in the previous phase. The circles, which had participation of 20 of the 37 professional teams from Family Health and 2 from Family Health Support Center, showed a lack of professional training in the subject; inability of the healthcare network in the user embracement; belief of professionals that nothing can be done when matter is alcohol and drugs; and referencing as the only care action performed by teams. Thus we point out the need to support an approach on issues of alcohol and drugs which consider gender issues, investing in Harm Reduction Policy as a possibility of working in this context for recognizing each user in their uniqueness and strategizing with them to promote health in a broad and contextualized way

Estratégia de navegação com planejamento dinâmico e algoritmo genético aplicada a robôs móveis terrestres

This work proposes a new autonomous navigation strategy assisted by genetic algorithm with dynamic planning for terrestrial mobile robots, called DPNA-GA (Dynamic Planning Navigation Algorithm optimized with Genetic Algorithm). The strategy was applied in environments - both static and dynamic - in which the location and shape of the obstacles is not known in advance. In each shift event, a control algorithm minimizes the distance between the robot and the object and maximizes the distance from the obstacles, rescheduling the route. Using a spatial location sensor and a set of distance sensors, the proposed navigation strategy is able to dynamically plan optimal collision-free paths. Simulations performed in different environments demonstrated that the technique provides a high degree of flexibility and robustness. For this, there were applied several variations of genetic parameters such as: crossing rate, population size, among others. Finally, the simulation results successfully demonstrate the effectiveness and robustness of DPNA-GA technique, validating it for real applications in terrestrial mobile robots.

Estratégia de navegação com planejamento dinâmico e algoritmo genético aplicada a robôs móveis terrestres

This work proposes a new autonomous navigation strategy assisted by genetic algorithm with dynamic planning for terrestrial mobile robots, called DPNA-GA (Dynamic Planning Navigation Algorithm optimized with Genetic Algorithm). The strategy was applied in environments - both static and dynamic - in which the location and shape of the obstacles is not known in advance. In each shift event, a control algorithm minimizes the distance between the robot and the object and maximizes the distance from the obstacles, rescheduling the route. Using a spatial location sensor and a set of distance sensors, the proposed navigation strategy is able to dynamically plan optimal collision-free paths. Simulations performed in different environments demonstrated that the technique provides a high degree of flexibility and robustness. For this, there were applied several variations of genetic parameters such as: crossing rate, population size, among others. Finally, the simulation results successfully demonstrate the effectiveness and robustness of DPNA-GA technique, validating it for real applications in terrestrial mobile robots.