Tratamento de resíduos sólidos.

bitstream/CPAMN-2009-09/19890/1/textoresiduos.pd

Feira de Ciências: atividade inovadora na formação docente?

A educação atual vem sofrendo várias transformações que visam a melhoria das práticas pedagógicas, de forma que o ensino e metodologia aproximem o aluno da sua realidade e contexto histórico. A Feira de Ciências que ocorreu no Centro Estadual de Educação Profissional em Biotecnologia e Saúde (CEEP) em Itabuna/BA foi um evento que surgiu com o intuito de despertar o interesse dos alunos para a área das Ciências. Este artigo discute a importância das Feiras de Ciências serem realizadas em escolas e a oportunidade para os alunos desenvolverem competências decorrentes da conjunção de teoria e prática, duas dimensões básicas do conhecimento. Esta atividade foi desenvolvida pelo PIBID/Química - UESC realizada no CEEP, sendo acompanhadas nas aulas dos cursos técnicos em Nutrição e Dietética, Enfermagem, Biotecnologia, Gerência em Saúde e Ensino Médio, com a finalidade de auxiliar na preparação dos experimento

Detecting Network Communities: An Application to Phylogenetic Analysis

This paper proposes a new method to identify communities in generally weighted complex networks and apply it to phylogenetic analysis. In this case, weights correspond to the similarity indexes among protein sequences, which can be used for network construction so that the network structure can be analyzed to recover phylogenetically useful information from its properties. The analyses discussed here are mainly based on the modular character of protein similarity networks, explored through the Newman-Girvan algorithm, with the help of the neighborhood matrix . The most relevant networks are found when the network topology changes abruptly revealing distinct modules related to the sets of organisms to which the proteins belong. Sound biological information can be retrieved by the computational routines used in the network approach, without using biological assumptions other than those incorporated by BLAST. Usually, all the main bacterial phyla and, in some cases, also some bacterial classes corresponded totally (100%) or to a great extent (>70%) to the modules. We checked for internal consistency in the obtained results, and we scored close to 84% of matches for community pertinence when comparisons between the results were performed. To illustrate how to use the network-based method, we employed data for enzymes involved in the chitin metabolic pathway that are present in more than 100 organisms from an original data set containing 1,695 organisms, downloaded from GenBank on May 19, 2007. A preliminary comparison between the outcomes of the network-based method and the results of methods based on Bayesian, distance, likelihood, and parsimony criteria suggests that the former is as reliable as these commonly used methods. We conclude that the network-based method can be used as a powerful tool for retrieving modularity information from weighted networks, which is useful for phylogenetic analysis