Effects of capital structure on markups and competitive performance : evidence from Portugal

Este estudo avalia os efeitos da estrutura de capital nas margens de lucro e no desempenho competitivo. Aplica teorias relativas à contra ciclicidade das margens de lucro, e aos resultados do mercado do produto de Chevalier e Scharfstein (1996), a dados portugueses, seguindo a metodologia de Campello (2001). Utilizando dados de painel de empresas pertencentes à indústria transformadora Portuguesa, a análise fornece evidencia para a contra-ciclicidade de margens de lucro e de um efeito conjunto de dívida e recessão económica nas margens de lucro. Tendo por base o recenseamento de empresas Portuguesas, a análise não fornece evidência de uma relação significativa entre a estrutura de capital e o desempenho competitivo.

The Effect of Serial Culture and Storage on the Protective Potential of a Competitive Exclusion Preparation

Cultura de fezes (Método de Exclusão Competitiva - EC) utilizada para prevenir a colonização cecal de aves por Salmonella enterica serovar Enteritidis (SE) foi submetida a cultivos seriados para evitar a presença de patógenos e, após o tratamento mais adequado, foi armazenada em temperatura de refrigeração antes do seu uso por até 63 dias. Os resultados mostraram que o cultivo repetido por 14 vezes não prejudica a ação protetora da cultura (CE), a qual continua inibindo a colonização cecal por SE. O produto submetido a 12 cultivos e armazenado durante 28 dias em temperatura de refrigeração também continua eficaz.

Environmental management in Brazil: is it a completely competitive priority?

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Competitive release and area effects

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques

Petroleum well drilling monitoring has become an important tool for detecting and preventing problems during the well drilling process. In this paper, we propose to assist the drilling process by analyzing the cutting images at the vibrating shake shaker, in which different concentrations of cuttings can indicate possible problems, such as the collapse of the well borehole walls. In such a way, we present here an innovative computer vision system composed by a real time cutting volume estimator addressed by support vector regression. As far we know, we are the first to propose the petroleum well drilling monitoring by cutting image analysis. We also applied a collection of supervised classifiers for cutting volume classification. (C) 2010 Elsevier Ltd. All rights reserved.

APPLICATIONS OF ARTIFICIAL-INTELLIGENCE IN ORGANIC-CHEMISTRY .17. NEW PROGRAMS IN THE SISTEMAT PROJECT

This work describes the new improvements of the SISTEMAT project, one system for structural elucidation mainly in the field of Natural Products Chemistry. Some examples of the resolution of problems using C-13 Nuclear Magnetic Resonance and Mass Spectroscopy are given. Programs to discover new heuristic rules for structure generation are discussed. The data base contains about 10000 C-13 NMR spectra.

Combining artificial intelligence and human problem solving: Proposing a new architecture for ITS's

This paper shows a comparative study between the Artificial Intelligence Problem Solving and the Human Problem Solving. The study is based on the solution by many ways of problems proposed via multiple-choice questions. General techniques used by humans to solve this kind of problems are grouped in blocks and each block is divided in steps. A new architecture for ITS - Intelligent Tutoring System is proposed to support experts' knowledge representation and novices' activities. Problems are represented by a text and feasible answers with particular meaning and form, to be rigorously analyzed by the solver to find the right one. Paths through a conceptual space of states represent each right solution.