Theoretical prediction of atomic and electronic structure of neutral Si6O(m) (m = 1-11) clusters.

In this paper we found the most stable structures of silicon-oxide clusters of Si(6)O(m) (m = 1-11) by using the genetic algorithm. In this work the genetic algorithm uses a semiempirical energy function, MSINDO, to find the best cluster structures of Si(6)O(m) (m = 1-11). The best structures found were further optimized using the density functional theory. We report the stable geometries, binding energies, lowest unoccupied molecular orbital-highest occupied molecular orbital gap, dissociation energies for the most favorable fragmentation channels and polarizabilities of Si(6)O(m) (m = 1-11). For most of the clusters studied here we report structures not previously found using limited search approaches on common structural motifs.

Educacion, salud y empowerment: las acciones educativas en el Programa de Salud de la Familia / Education, health and empowerment: the educational activities in the Health Family Program

O Programa de Saude da Familia(PSF) se apresenta hoje no Brasil como estrategia de reorganizacao do modelo assistencial de saude. As acoes de promocao, prevencao e assistencia sao parte das atividades a serem realizadas pelas equipes do PSF. As acoes de promocao da saude tem como finalidade melhorar as condicoes e estilos de vida da comunidade, sendo as acoes educativas uma das estrategias para alcancar tal objetivo, como atribuicao de todos os integrantes da equipe. Um dos principios para realizar acoes de promocao da saude e o empowerment (psicologico/individual, organizacional e comunitario). Ao identificar e carcterizar as praticas educativas (atividades em grupo e visita domiciliar dos ACS) o presente estudo tem como objetivo analisar se estas sao espacos favorecedores de empowerment. O estudo foi realizado com duas equipes do PSF, uma na zona urbana e a outra na zona rural, em um municipio baiano...

Theoretical study of the adsorption of H on Si n clusters, (n=3-10).

A recently proposed local Fukui function is used to predict the binding site of atomic hydrogen on silicon clusters. To validate the predictions, an extensive search for the more stable SinH (n=3-10) clusters has been done using a modified genetic algorithm. In all cases, the isomer predicted by the Fukui function is found by the search, but it is not always the most stable one. It is discussed that in the cases where the geometrical structure of the bare silicon cluster suffers a considerable change due to the addition of one hydrogen atom, the situation is more complicated and the relaxation effects should be considered.