Network connectance and autonomy analyses of the photosynthetic apparatus in tropical tree species from different successional groups under contrasting irradiance conditions

Biological systems are complex dynamical systems whose relationships with environment have strong implications on their regulation and survival. From the interactions between plant and environment can emerge a quite complex network of plant responses rarely observed through classical analytical approaches. The objective of this current study was to test the hypothesis that photosynthetic responses of different tree species to increasing irradiance are related to changes in network connectances of gas exchange and photochemical apparatus, and alterations in plant autonomy in relation to the environment. The heat dissipative capacity through daily changes in leaf temperature was also evaluated. It indicated that the early successional species (Citharexylum myrianthum Cham. and Rhamnidium elaeocarpum Reiss.) were more efficient as dissipative structures than the late successional one (Cariniana legalis (Mart.) Kuntze), suggesting that the parameter deltaT (T ºCair - T ºCleaf) could be a simple tool in order to help the classification of successional classes of tropical trees. Our results indicated a pattern of network responses and autonomy changes under high irradiance. Considering the maintenance of daily CO2 assimilation, the tolerant species (C. myrianthum and R. elaeocarpum) to high irradiance trended to maintain stable the level of gas exchange network connectance and to increase the autonomy in relation to the environment. On the other hand, the late successional species (C. legalis) trended to lose autonomy, decreasing the network connectance of gas exchange. All species showed lower autonomy and higher network connectance of the photochemical apparatus under high irradiance.

5th Food Safety and Security Symposium: food and health

Abstract The 5º Simpósio de Segurança Alimentar (5th Food Safety and Security Symposium) was held in May, 2015, in Bento Gonçalves, RS, Brazil with the objective of discussing the interrelation between food and health, in various perspectives. This paper reviews the state of the art regarding all the issues discussed during the Symposium, connecting them with the lectures presented at the conference. As final remarks, it was perceived that the interrelation between food and health is growing stronger and cannot be discussed without involving the different areas involved.

Social network of family caregivers of disabled and dependent patients

Cross-sectional study that used the Social Network Index and the genogram to assess the social network of 110 family caregivers of dependent patients attended by a Home Care Service in São Paulo, Brazil. Data were analyzed using the test U of Mann-Whitney, Kruskal-Wallis and Spearman correlation. Results were considered statistically significant when p<0,05. Few caregivers participated in activities outside the home and the average number of people they had a bond was 4,4 relatives and 3,6 friends. Caregivers who reported pain and those who had a partner had higher average number of relatives who to trust. The average number of friends was higher in the group that reported use of medication for depression. Total and per capita incomes correlated with the social network. It was found that family members are the primary caregiver’s social network.





Temporal trends in the prevalence of asthma and rhinoconjunctivitis in adolescents

ABSTRACT OBJECTIVE To analyze the temporal trend of asthma and rhinoconjunctivitis prevalences as well as their symptoms in adolescents. METHODS Two cross-sectional studies were conducted using the same methodology and questionnaire as was used for adolescents aged 12 to 14 years in the Brazilian city of Florianopolis, SC, Southern Brazil. Based on the international protocol of the International Study of Asthma and Allergies in Childhood (ISAAC) study, adolescents were evaluated in 2001 and 3,150 in 2012. The schools included in this study were the same as in the 2001 study. These schools were randomly selected after stratification by network (public and private) and geographic location. The total average percentage variation was estimated for the prevalence of asthma and rhinoconjunctivitis and their symptoms. RESULTS The prevalence of reported asthma was 10.9% in 2001 and 14.8% in 2012, with an average variation of 2.8% in the period. The highest average variation in the period was observed among female adolescents (4.1%). In parallel a significant increase occurred in reported physician-diagnosed asthma, 7.3% in 2001 and 11,1% in 2012, with an annual variation of 4.5%. The largest increases in reported physician-diagnosed asthma were seen in female (5.9%) and male (4.5%) public school pupils. In addition, a significant increase in reported rhinoconjunctivitis occurred, with the average variation in the period being 5.2%. Reports of severe asthma symptoms remained unchanged during the period, while the annual variation for reported current wheezing (-1.3%) and wheezing during exercise (-1.2%) decreased. CONCLUSIONS The results showed a significant increase in the annual average variation for asthma and rhinoconjunctivitis prevalence during the 2001 to 2012 period.

Chagas infection transmission control: situation of transfusional transmission in Brazil and other countries of Latin America

The transmission of the transfusion-associated Chagas disease is an important mechanism of its dissemination in several Latin American countries. The transmission risk depends on five factors: prevalence of infection in blood donors, degree of serological coverage, sensibility of used tests, safety of obtained results and infection risk. The Southern Cone Iniciative set off by the Pan-American Health Organization, in 1991, is contributing to the implementation of blood law in each endemic country, and to reduce the risk of transfusional transmission of this horrible disease. Despite the clear improvement of Brasilian hemotherapy after 1980 (with the creation of the Blood National Program - Pró-Sangue) and the significant reduction of the chagasic infection among its blood donors; socio-economic, politic and cultural unlevels, prevent it from reaching the necessary universality and security. In order to assure both, the Brazilian Ministry of Health decided to restructure its blood system. In May, 1998, a great program was launched, to reach a specific goal: Blood - 100% with quality safety in all its process until 2003. It was divided in 12 projects, intends to guarantee the quality and self sufficiency in blood and hemoderivates.

Estudo do estado fundamental de aglomerados de silício via redes neurais

We introduce a global optimization method based on the cooperation between an Artificial Neural Net (ANN) and Genetic Algorithm (GA). We have used ANN to select the initial population for the GA. We have tested the new method to predict the ground-state geometry of silicon clusters. We have described the clusters as a piling of plane structures. We have trained three ANN architectures and compared their results with those of pure GA. ANN strongly reduces the total computational time. For Si10, it gained a factor of 5 in search speed. This method can be easily extended to other optimization problems.

REDUÇÃO DE VARIÁVEIS DE ENTRADA DE REDES NEURAIS ARTIFICIAIS A PARTIR DE DADOS DE ANÁLISE DE COMPONENTES PRINCIPAIS NA MODELAGEM DE OXIGÊNIO DISSOLVIDO

The objective of this work is to demonstrate the efficient utilization of the Principal Components Analysis (PCA) as a method to pre-process the original multivariate data, that is rewrite in a new matrix with principal components sorted by it's accumulated variance. The Artificial Neural Network (ANN) with backpropagation algorithm is trained, using this pre-processed data set derived from the PCA method, representing 90.02% of accumulated variance of the original data, as input. The training goal is modeling Dissolved Oxygen using information of other physical and chemical parameters. The water samples used in the experiments are gathered from the Paraíba do Sul River in São Paulo State, Brazil. The smallest Mean Square Errors (MSE) is used to compare the results of the different architectures and choose the best. The utilization of this method allowed the reduction of more than 20% of the input data, which contributed directly for the shorting time and computational effort in the ANN training.