Classification of petroleum well drilling operations with a hybrid particle swarm/ant colony algorithm

This paper describes an investigation of the hybrid PSO/ACO algorithm to classify automatically the well drilling operation stages. The method feasibility is demonstrated by its application to real mud-logging dataset. The results are compared with bio-inspired methods, and rule induction and decision tree algorithms for data mining. © 2009 Springer Berlin Heidelberg.

O transtorno mental na percepção de agentes comunitários de saúde na estratégia saúde da família

The Family Health Strategy facilitates user access to mental health actions. This study aimed to verify the community health agents’ perceptions of the Family Health Strategy about mental disorder. A qualitative study was conducted with 26 randomly selected community health agents, among the professionals of 13 units, which constitute the Family Health Strategy of Itapeva (SP). The community health agents responded to a personal information questionnaire and a semi-structured interview. Data were checked through content analysis. Stigmatizing perception of the mentally disturbed persons, lack of knowledge about the process of falling ill and the mental disorder evolution, and the unpreparedness to act in this population were observed. Capacitating agents enable them to contribute in a positive way to the effective functioning of a care net in mental health in the city.

A prática como lócus de formação de professores e produção de saberes na Educação Física

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Práticas de alfabetização de professoras alfabetizadoras iniciante e experiente no 1º ano do Ensino Fundamental

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Planejamento e gestão na responsabilidade social: desafios para o Serviço Social

Pós-graduação em Serviço Social - FCHS

Information access law and disclosing of information by joint-stock companies in Brazil: open data and Extensible Business Reporting Language (XBRL) standard

The strategic management of information plays a fundamental role in the organizational management process since the decision-making process depend on the need for survival in a highly competitive market. Companies are constantly concerned about information transparency and good practices of corporate governance (CG) which, in turn, directs relations between the controlling power of the company and investors. In this context, this article presents the relationship between the disclosing of information of joint-stock companies by means of using XBRL, the open data model adopted by the Brazilian government, a model that boosted the publication of Information Access Law (Lei de Acesso à Informação), nº 12,527 of 18 November 2011. Information access should be permeated by a mediation policy in order to subsidize the knowledge construction and decision-making of investors. The XBRL is the main model for the publishing of financial information. The use of XBRL by means of new semantic standard created for Linked Data, strengthens the information dissemination, as well as creates analysis mechanisms and cross-referencing of data with different open databases available on the Internet, providing added value to the data/information accessed by civil society.

Human development and data envelopment analysis: a structured literature review

Given the importance the concept of productive efficiency has on analyzing the human development process, which is complex and multidimensional, this study conducts a literature review on the research works that have used the data envelopment analysis (DEA) to measure and analyze the development process. Therefore, we researched the databases of Scopus and Web of Science, and considered the following analysis dimensions: bibliometrics, scope, DEA models and extensions used, interfaces with other techniques, units analyzed and depth of analysis. In addition to a brief summary, the main gaps in each analysis dimension were assessed, which may serve to guide future researches. (C) 2015 Elsevier Ltd. All rights reserved.