Aplicação de redes neurais artificiais na identificação de gasolinas adulteradas comercializadas na região de Londrina - Paraná

The multilayer perceptron network was used to classify the gasoline. The main parameters used in the classification were established by the Ordinance nº 309 of the Agência Nacional do Petróleo, but without informing the network the legal limits of these parameters. The network used had 10 neurons in a single hidden layer, learning rate of 0.04 and 250 training epochs. The application of artificial neural network served classify 100% of the commercialized gas in the region of Londrina-PR and to identify the tampered gasoline even those suspected of tampering.

Determinação de constituintes químicos em madeira de eucalipto por Pi-CG/EM e calibração multivariada: comparação entre redes neurais artificiais e máquinas de vetor suporte

Multivariate models were developed using Artificial Neural Network (ANN) and Least Square - Support Vector Machines (LS-SVM) for estimating lignin siringyl/guaiacyl ratio and the contents of cellulose, hemicelluloses and lignin in eucalyptus wood by pyrolysis associated to gaseous chromatography and mass spectrometry (Py-GC/MS). The results obtained by two calibration methods were in agreement with those of reference methods. However a comparison indicated that the LS-SVM model presented better predictive capacity for the cellulose and lignin contents, while the ANN model presented was more adequate for estimating the hemicelluloses content and lignin siringyl/guaiacyl ratio.

Uso de redes neurais recorrentes na determinação das constantes de acidez para a 7-epiclusianona em misturas etanol-água

This work propose a recursive neural network to solve inverse equilibrium problem. The acidity constants of 7-epiclusianone in ethanol-water binary mixtures were determined from multiwavelength spectrophotmetric data. A linear relationship between acidity constants and the %w/v of ethanol in the solvent mixture was observed. The proposed method efficiency is compared with the Simplex method, commonly used in nonlinear optimization techniques. The neural network method is simple, numerically stable and has a broad range of applicability.

Redes de colaboração científica na área de química no Brasil: um estudo baseado nas coautorias dos artigos da revista Química Nova

In this paper we built three co-authorship networks displaying the acquaintances between countries, universities and authors that have published papers in Quimica Nova from 1995 to 2008. Our research was conducted applying a bibliometric approach to 1782 papers and over 4200 authors. Centrality measures were used and the most significant actors of each network were pointed out. The results using the centrality metrics and the network structures indicated that Quimica Nova resembles a typical scientific community.

A política de inovação e a formação do químico

In December 2004, Brazil's President signed Law number 10.973, which provides for incentives toward innovation, scientific and technological research in the production environment and other measures, also known as the Law of Innovation. Although Brazil has advanced greatly in the number of scientific articles published, currently accounting for about 3% of world scientific output, this progress has not been replicated in the production of patents. This article presents a discussion on the importance of introducing patent issues into national undergraduate courses.

Inovação & propriedade industrial & indústria química

ABSTRACT The main aim of this paper was to contribute to reflections in Brazil on the need to transfer knowledge held at universities and R&D institutions over to companies, i.e. to transfer scientific knowledge of chemistry to technology. It discusses how the competitiveness of countries is increasingly dependent on their technological capacity. The chemicals industry is a fundamental driver of social, environmental, economic and industrial indicators of sustainable development. In Brazil, the chemicals industry's deficit has grown over the last three decades. Patents are important sources of information because patent documents contain 75% of all technological information available. The National Institute of Industrial Property in Brazil has created a Technology Observatory with the purpose of identifying and analyzing technological information contained in patent documents within the ambit of partnerships with government entities or business associations, in order to support their technology-related decision-making processes. The paper gives examples of ethanol and biotechnology patent documents, including pharmaceuticals, of which there are very few in Brazil. However, a few of the patent applications identified are filed in Brazil, giving the country the opportunity to transform this scientific knowledge into technology by means of partnership agreements with companies. Finally, the paper presents information on the patent applications filed by the world's leading chemicals companies as measured by their revenues, and the respective numbers of patent applications in the last five years in organic chemistry and polymers, sectors in which Brazil is currently dependent on imports for over 50% of its needs. The patent assignees in these sectors in Brazil are also identified, and the paper concludes that Brazil needs to invest in the development of professionals, providing clearly-defined career paths in technology innovation teams at R&D institutions, and to foster more initiatives such as the creation of a new research and innovation entity, EMBRAPII, since investing in science and technology is a prerequisite for knowledge production, industrial property, economic development and, consequently, the competitiveness of the country.

Panorama de propriedade intelectual, transferência de tecnologia e inovação da química brasileira e a comparação com os países do BRIC

Based on Science, Technology & Innovation (ST&I) indicators, Brazil is a competitive and interesting country from the point of view of technological foreign investment. However, it is still incipient with regard to national investments, production of technological knowledge, inbound mobility of scientists and technology transfer to the productive sector. Among many other factors, global patent production is considered as an important indicator of innovation. Likewise, the balance between revenue and expenses obtained through royalties and licensing fees of technologies is also critical in mapping the diffusion and absorption of knowledge. The understanding of intellectual property and its strategic management brings a significant advantage to the economic and technological development of nations, especially in the field of chemistry, which greatly contributes to biotechnology, new materials and microelectronics - three fundamental areas for innovation in developed countries. Therefore, this article aims to map out competencies in chemistry in Brazil and evaluate science, technology and innovation indicators in the country, comparing this dynamic to the one of other BRIC members (Russia, India and China). Chemistry is the fourth biggest field of interest in Brazil based on the number of researchers registered at the governmental platform for researchers, Plataforma Lattes/CNPq, and is preceded by education, medicine and agronomy. The majority of research groups are registered in the area of materials, followed by macromolecules and polymers, pharmaceutical products and basic materials chemistry. These groups represent approximately 77% of research groups analyzed, therefore, indicating a tendency in the country. The analyses of patents in different sub-areas of chemistry reveal that non-residents file most deposits in the country, a probable reflection of the low internal intellectual property culture. Pharmaceutics and Fine Chemistry are prominent areas in the country, in line with the global trend. Among BRIC countries, China has the highest number of patents and of requests for protection in international offices. On the other hand, Brazil has the lowest number of chemical patents published at USPTO, EPO and JPO. An analysis of the transfer of technology data indicates an increase in this activity in various sub-areas of chemistry in the country. Despite the great efforts made by the country to consolidate its national innovation system, more needs to be done to put Brazil in a competitive position. In a globalized world dominated by large players, Brazil needs a lot of progress on ownership and generation of chemistry technologies to strengthen its national sovereignty. It is essential to strengthen chemical research at all levels, from elementary school to university, as an inexhaustible source of knowledge and technology that, when properly protected, may generate real public achievement and social return.

Inovação para a sustentabilidade

The transition to sustainable standards of production and consumption within a scenario of decreased availability of natural resources, growing population and climate change is essential to meet current challenges facing mankind. A strategy to meet these challenges should contain elements different from current approaches for industrial production. This work concentrates on the possibilities for the intensive use of sustainable biomass, abundant minerals and every type of residue, a task that can largely benefit from the application of nanotechnology and biotechnology platforms for material design and transformation. This strategy cannot be solely based on existing knowledge and requires new science, new knowledge including supposedly well-known themes, like the tribochemistry of electrostatic charging and friction. It is especially relevant within the Brazilian context, where many recent successful innovations are related to biomass production and transformation. Implementation of this strategy requires converging efforts by personnel from many different organizations and professions, while making sound risk assessment to produce significant innovation leading to sustainable development.

Redes metalorgânicas e suas aplicações em catálise

Metal-organic frameworks (MOFs) form a new class of materials with well-defined yet tunable properties. These are crystalline, highly porous and exhibit strong metal-ligand interactions. Importantly, their physical and chemical properties, including pore size, pore structure, acidity, and magnetic and optical characteristics, can be tailored by choosing the appropriate ligands and metal precursors. Here we review the key aspects of synthesis and characterization of MOFs, focusing on lanthanide-based and vanadium-based materials. We also outline some of their applications in catalysis and materials science.

REDUÇÃO DE VARIÁVEIS DE ENTRADA DE REDES NEURAIS ARTIFICIAIS A PARTIR DE DADOS DE ANÁLISE DE COMPONENTES PRINCIPAIS NA MODELAGEM DE OXIGÊNIO DISSOLVIDO

The objective of this work is to demonstrate the efficient utilization of the Principal Components Analysis (PCA) as a method to pre-process the original multivariate data, that is rewrite in a new matrix with principal components sorted by it's accumulated variance. The Artificial Neural Network (ANN) with backpropagation algorithm is trained, using this pre-processed data set derived from the PCA method, representing 90.02% of accumulated variance of the original data, as input. The training goal is modeling Dissolved Oxygen using information of other physical and chemical parameters. The water samples used in the experiments are gathered from the Paraíba do Sul River in São Paulo State, Brazil. The smallest Mean Square Errors (MSE) is used to compare the results of the different architectures and choose the best. The utilization of this method allowed the reduction of more than 20% of the input data, which contributed directly for the shorting time and computational effort in the ANN training.

Inovação curricular nos cursos de graduação em medicina: o ensino da bioética como uma possibilidade

O estudo tem por objetivos sistematizar o estado da arte do ensino da bioética na graduação médica brasileira, com base nos trabalhos publicados nos anais dos congressos da Sociedade Brasileira de Bioética, da Associação Brasileira de Educação Médica e da Rede Unida, e nas revistas Bioética, Brasileira de Bioética, Brasileira de Educação Médica e Olho Mágico dos anos 2000 até 2005, e identificar concepções, conceitos, métodos e pressupostos bioéticos adotados no material pesquisado. Situa-se entre os campos da educação e do trabalho médicos, aqui entendidos como duas práticas sociais que devem dialogar permanentemente, razão pela qual a Pedagogia das Competências e as noções de competência e autonomia, como fundamentação e categorias teóricas, respectivamente, nele se inserem como aportes para compreender o processo de inclusão do ensino de bioética nos cursos de graduação médica, como uma possibilidade de inovação curricular.

Três casos de inovação curricular no panorama recente (1964-1988) da Educação Médica Brasileira: subsídios de um retrospecto baseado na revisão de documentos

No intervalo de uma década (1966-1975), três escolas médicas - nas universidades de Brasília (UnB), São Paulo (USP) e Minas Gerais (UFMG) - estabeleceram novos currí-culos a fim de preparar médicos com potencial ampliado no trato de necessidades de saúde no cenário comunitário. As três escolas diferiam entre si no contexto geopolítico, na totalidade de recursos e na experiência de vida. Embora suas propostas tivessem traços em comum, cada qual definiu de forma peculiar os elementos da organização programática, dos enfoques estratégicos e da gestão do processo curricular, os quais se expressaram diferentemente na característica global de orientação comunitária, bem como no impacto de seus efeitos na formação dos médicos e no sistema de saúde. Este relato reúne informações documentais referenciadas e algumas ilações sobre os elementos básicos da inovação curricular e seus efeitos, nos três casos.

As redes neurais artificiais e o ensino da medicina

As transformações da prática médica nos últimos anos - sobretudo com a incorporação de novas tecnologias da informação - apontam a necessidade de ampliar as discussões sobre o processo ensino-aprendizagem na educação médica. A utilização de novas tecnologias computacionais no ensino médico tem demonstrado inúmeras vantagens no processo de aquisição de habilidades para a identificação e a resolução de problemas, o que estimula a criatividade, o senso crítico, a curiosidade e o espírito científico. Nesse contexto, ganham destaque as Redes Neurais Artificiais (RNA) - sistemas computacionais cuja estrutura matemática é inspirada no funcionamento do cérebro humano -, as quais têm sido úteis no processo ensino-aprendizagem e na avaliação de estudantes de Medicina. Com base nessas ponderações, o escopo da presente comunicação é revisar aspectos da aplicação das RNA na educação médica.

Relato de Inovação Pedagógica na Abordagem da Ecologia Médica

RESUMO Este artigo relata a inovação pedagógica na abordagem da Ecologia Médica no curso de Medicina da Universidade Severino Sombra (USS) por meio do conteúdo programático da disciplina Sistema de Integração Curricular e Comunitária I, descrevendo suas contribuições para a formação de médicos com visão ampliada de saúde, conscientes da interface entre saúde e meio ambiente.