Classification of masses in mammographic image using wavelet domain features and polynomial classifier

Breast cancer is the most common cancer among women. In CAD systems, several studies have investigated the use of wavelet transform as a multiresolution analysis tool for texture analysis and could be interpreted as inputs to a classifier. In classification, polynomial classifier has been used due to the advantages of providing only one model for optimal separation of classes and to consider this as the solution of the problem. In this paper, a system is proposed for texture analysis and classification of lesions in mammographic images. Multiresolution analysis features were extracted from the region of interest of a given image. These features were computed based on three different wavelet functions, Daubechies 8, Symlet 8 and bi-orthogonal 3.7. For classification, we used the polynomial classification algorithm to define the mammogram images as normal or abnormal. We also made a comparison with other artificial intelligence algorithms (Decision Tree, SVM, K-NN). A Receiver Operating Characteristics (ROC) curve is used to evaluate the performance of the proposed system. Our system is evaluated using 360 digitized mammograms from DDSM database and the result shows that the algorithm has an area under the ROC curve Az of 0.98 ± 0.03. The performance of the polynomial classifier has proved to be better in comparison to other classification algorithms. © 2013 Elsevier Ltd. All rights reserved.

User-producer interaction in the Brazilian oil industry: The relationship between petrobras and its suppliers of wet Christmas tree

The objective of this work is to analyze the importance of the user-producer interaction for the innovative process of the Brazilian oil industry from the 2000s. To do so, we selected two of the three providers installed in Brazil that produce the set of valves used in the oil wellhead to control its production, set which is called wet Christmas tree (WCT), the Norway's Aker Solutions and the American FMC Technologies. The results of this analysis indicate not only the development of the oil industry in Brazil is marked by a strategy of cooperative innovation, but they also reveal the importance of geographical proximity and direct cooperation, especially between the centers of engineering and research and development of companies. Furthermore, these partnerships are not limited to the adaptation of products to new needs, but they also include the development of new systems. © Universidad Alberto Hurtado, Facultad de Economía y Negocios.

Leaf anatomical traits are correlated with tree dominance in a Neotropical deciduous forest

Deciduous forests from the neotropics are one of the most endangered forest types in the world due to the exploitation of their natural resources by mankind. Many aspects of these ecosystems have been studied; however, there is a lack of information about leaf structure and the effects of tree dominance on their structural leaf patterns. In this article, we examine leaf anatomy and specific leaf areas (SLA) in 13 tree species differing in their dominance in a Dry Forest site in Central Brazil, relating leaf anatomical traits with phytosociological aspects. Leaf anatomical traits differed according to tree dominance: greater leaf thickness (achieved through greater thickness of the mesophyll), low values of SLA and bigger stomata were found for the most dominant species, whereas the less dominant species showed thinner leaves with high SLA, as well as numerous and small stomata. These responses suggest that tree dominance is an important indirect effect associated with vertical light availability in the forest. These strategies are probably related to the accomplishment of a high performance in carbon gain and water economy, given the distinction in irradiance that the leaves of different species are subject to in the dry forest. © 2013 Copyright The Royal Society of New Zealand.

Prospects for the use of municipal tree pruning wastes in particleboard production

The purpose of this study was to evaluate the physical and mechanical properties of particleboard made with pruning wastes from Ipê (Tabebuia serratifolia) and Chapéu-de-Sol (Terminalia catappa) trees. Particleboards were prepared with both wood species, using all the material produced by grinding the pruning wastes. The particleboards had dimensions of 45×45 cm, a thickness of approximately 11.5 mm and an average density of 664 kg/m3. A urea-formaldehyde adhesive was used in the proportion of 12% of the dry particle mass. The particleboards were pressed at a temperature of 130 C for 10 mins. The physical and mechanical properties analyzed were density, moisture content, thickness swelling, percentage of lignin and cellulose, modulus of resilience, modulus of elasticity and tensile strength parallel to the grain, accordingly to the standards NBR 14810 and CS 236-66 (1968). The particleboards were considered to be of medium density. The particle size significantly affected the static bending strength and tensile strength parallel to the grain. Ipê presented better results, demonstrating a potential for the production and use of particleboard made from this species. © The Author(s) 2013.

Desenvolvimento de uma base de dados para fatores de transcrição de seres humanos e suas redes de interação: Human Transcriptional Regulation Interaction Database (HTRIDB 2.0)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

CARIBTRADE, trade statistics database: user manual

Includes bibliography

TradeCAN: database and software for a Competitiveness Analysis of Nations: user guide

Includes bibliography

Análise da suscetibilidade a movimentos de massa no município de Peruíbe - SP, com o apoio de um sistema integrador de informações georeferenciadas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)