Um modelo de avaliação de fluxos de biomassa e carbono em madeireiras de comunidades isoladas da região amazônica

A Amazônia tem imensos recursos florestais, abrigando um terço das florestas tropicais do mundo. A Amazônia brasileira compreende uma área maior que 5 milhões de km², o que corresponde a 61 % do território brasileiro. A região norte produz 72,45% da madeira em tora do Brasil, o estado do Pará contribui com 55,47% de acordo com IBMA (2007). A exploração madeireira na Amazônia é caracterizada como “garimpagem florestal”, ou seja, os exploradores entram na floresta selecionam as toras de valor comercial e a retiram. Passando-se certo tempo, eles voltam novamente a essa área e a exploram, esse processo de exploração está acontecendo em um intervalo de tempo cada vez menor. A Amazônia legal abrigava 833 serrarias circulares em 1998. Essas serrarias estavam localizadas principalmente no estuário amazônico (71%) – nos furos e tributários dos rios Amazonas, Xingu, Tocantins e Pará. Essas processadoras familiares consumiram conjuntamente 1,3 milhões de metros cúbicos de madeira em tora (5% da produção da Amazônia). Neste trabalho estimou-se o balanço de carbono em serrarias do estuário do rio Amazonas e foi desenvolvido o ciclo de vida do carbono para uma serraria no estuarino amazônico. Foi identificado que no processo produtivo da comunidade há um caminho bem definido do recurso natural (biomassa/madeira): exploração florestal, transporte de biomassa, transformação (empresas madeireiras) / processos produtivos, geração e utilização de resíduos, transporte de madeira processada, comercialização/mercado. O objetivo deste trabalho foi avaliar os recursos energéticos através do fluxo (inputs e outputs) da madeira e da energia no processo. Para isso, desenvolveu um modelo que simulou os fluxos de carbono, da madeira e a área afetada pela exploração. Neste trabalho criou-se um modelo específico onde se avaliou o fluxo de carbono para o cenário estudado; a avaliação do impacto ambiental foi alcançada, onde obteve um valor positivo, uma captura de carbono cerca de 55 tCO₂/mês, mesmo com a baixa eficiência do sistema produtivo, em torno de 36% conclui-se que o sistema atual de exploração não polui mas poderia ser melhorado a fim de alcançar uma maior eficiência do processo produtivo. Enquanto ao resíduo gerado aproximadamente 64% do volume de madeira que entra na serraria conseguira gerar aproximadamente 1240 kW de energia elétrica mensal.

Teatro épico no Brasil: sobre a atualidade de Brecht

Pós-graduação em Ciências Sociais - FCLAR

Repercussões do trágico e do social no teatro de Dias Gomes: leitura comparativa entre Antígona de Sófocles; O Pagador de Promessas, O Santo Inquérito e As Primícias de Dias Gomes

Pós-graduação em Letras - FCLAS

Process for genetically engineering acidophilic bacteria and constructing a transformation vector

The present invention describes a method for transforming chemolithotrophic acidophilic bacteria using electroporation technology. The proposed method allows transforming a bacterial line using a transformation vector, the pAF vector, which contains an origin of vegetative replication that allows the vector to replicate inside the bacteria without altering the natural physiological functions of the latter. Also disclosed is the use of the bacteria modified according to the invention in bioleaching processes of sulphated copper, gold, uranium, nickel, zinc and cobalt ore, inter alia.

Photochemical transformation of antibiotics by excitation of Fe(III)-complexes in aqueous medium

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

EEG signal classification for epilepsy diagnosis via optimum path forest - A systematic assessment

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier

In general, pattern recognition techniques require a high computational burden for learning the discriminating functions that are responsible to separate samples from distinct classes. As such, there are several studies that make effort to employ machine learning algorithms in the context of big data classification problems. The research on this area ranges from Graphics Processing Units-based implementations to mathematical optimizations, being the main drawback of the former approaches to be dependent on the graphic video card. Here, we propose an architecture-independent optimization approach for the optimum-path forest (OPF) classifier, that is designed using a theoretical formulation that relates the minimum spanning tree with the minimum spanning forest generated by the OPF over the training dataset. The experiments have shown that the approach proposed can be faster than the traditional one in five public datasets, being also as accurate as the original OPF. (C) 2014 Elsevier B. V. All rights reserved.

A local-global scheme for tracking crack path in three-dimensional solids

This paper aims to contribute to the three-dimensional generalization of numerical prediction of crack propagation through the formulation of finite elements with embedded discontinuities. The analysis of crack propagation in two-dimensional problems yields lines of discontinuity that can be tracked in a relatively simple way through the sequential construction of straight line segments oriented according to the direction of failure within each finite element in the solid. In three-dimensional analysis, the construction of the discontinuity path is more complex because it requires the creation of plane surfaces within each element, which must be continuous between the elements. In the method proposed by Chaves (2003) the crack is determined by solving a problem analogous to the heat conduction problem, established from local failure orientations, based on the stress state of the mechanical problem. To minimize the computational effort, in this paper a new strategy is proposed whereby the analysis for tracking the discontinuity path is restricted to the domain formed by some elements near the crack surface that develops along the loading process. The proposed methodology is validated by performing three-dimensional analyses of basic problems of experimental fractures and comparing their results with those reported in the literature.

The bias in reversing the Box-Cox transformation in time series forecasting: An empirical study based on neural networks

The Box-Cox transformation is a technique mostly utilized to turn the probabilistic distribution of a time series data into approximately normal. And this helps statistical and neural models to perform more accurate forecastings. However, it introduces a bias when the reversion of the transformation is conducted with the predicted data. The statistical methods to perform a bias-free reversion require, necessarily, the assumption of Gaussianity of the transformed data distribution, which is a rare event in real-world time series. So, the aim of this study was to provide an effective method of removing the bias when the reversion of the Box-Cox transformation is executed. Thus, the developed method is based on a focused time lagged feedforward neural network, which does not require any assumption about the transformed data distribution. Therefore, to evaluate the performance of the proposed method, numerical simulations were conducted and the Mean Absolute Percentage Error, the Theil Inequality Index and the Signal-to-Noise ratio of 20-step-ahead forecasts of 40 time series were compared, and the results obtained indicate that the proposed reversion method is valid and justifies new studies. (C) 2014 Elsevier B.V. All rights reserved.

Programa de Educação Tutorial na escola: atuação do arquivista e do bibliotecário em ambientes escolares

The role of the librarian and archivist in school settings is shown, currently in the initial stages. Starting up this hypothesis, the PET of Librarianship of the FFC/UNESP prepared the design in PET at School with a view to submitting importance of these professionals this environment. Thus, it is expected that the performance of the stock of PET Librarianship in schools is another catalytic to the formation of responsible professionals and concerned with the society around them as idealized the political projects of pedagogical courses of Library and Archival of FFC/UNESP. Experiments of this nature bring the discussion of knowledge acquired in the classroom and the possibility of social transformation by information professional.

Mulheres no poder: forma de vida do ator mulher executiva contemporânea na revista VOCÊ S/A

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Static Video Summarization through Optimum-Path Forest Clustering

This paper introduces the Optimum-Path Forest (OPF) classifier for static video summarization, being its results comparable to the ones obtained by some state-of-the-art video summarization techniques. The experimental section has been conducted using several image descriptors in two public datasets, followed by an analysis of OPF robustness regarding one ad-hoc parameter. Future works are guided to improve OPF effectiveness on each distinct video category.

Particle-vortex and Maxwell duality in the AdS(4) x CP3/ABJM correspondence

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Transformation of wealth produced into quality of life: analysis of the social efficiency of nation-states with the DEA's triple index approach

Although an essential condition for the occurrence of human development, economic growth is not always efficiently converted into quality of life by nation-states. Accordingly, the objective of this study is to measure the social efficiency-the ability of a nation-state to convert its produced wealth into quality of life-of a set of 101 countries. To achieve this goal, the Data Envelopment Analysis method was used in its standard, cross-multiplicative and inverted form, by means of a new approach called 'triple index'. The main results indicated that the former Soviet republics and Eastern European countries stood out in terms of social efficiency. The developed countries, notwithstanding their high social indicators, did not excel in efficiency; however, the countries of south of Africa, despite having the worst social conditions, were also the most inefficient.

Optimum-Path Forest Applied for Breast Masses Classification

In Computer-Aided Diagnosis-based schemes in mammography analysis each module is interconnected, which directly affects the system operation as a whole. The identification of mammograms with and without masses is highly needed to reduce the false positive rates regarding the automatic selection of regions of interest for further image segmentation. This study aims to evaluate the performance of three techniques in classifying regions of interest as containing masses or without masses (without clinical findings), as well as the main contribution of this work is to introduce the Optimum-Path Forest (OPF) classifier in this context, which has never been done so far. Thus, we have compared OPF against with two sorts of neural networks in a private dataset composed by 120 images: Radial Basis Function and Multilayer Perceptron (MLP). Texture features have been used for such purpose, and the experiments have demonstrated that MLP networks have been slightly better than OPF, but the former is much faster, which can be a suitable tool for real-time recognition systems.