Genetic diversity in Egeria densa and E. najas in Jupia Reservoir, Brazil

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

Leitura e Interpretação de Dados Prontos em um Ambiente de Modelagem e Tecnologias Digitais: o mosaico em movimento

Neste artigo, analisamos a leitura e a interpretação de dados prontos coletados por alunos para desenvolverem projetos de modelagem. Consideramos dados prontos as informações coletadas na Internet, como um gráfico ou uma fórmula, sem maiores explicações de como foram geradas. Com isso, repensamos o mosaico de pesquisas do GPIMEM, grupo de pesquisa ao qual pertencemos e que desenvolve pesquisas sobre modelagem e informática há cerca de vinte anos. Na análise, privilegiamos a apresentação oral e o relatório escrito de um grupo de alunas do Curso de Ciências Biológicas da Universidade Estadual Paulista (UNESP). Os dados prontos sugerem uma nova faceta na relação entre tecnologias digitais e modelagem: eles parecem ser tratados de maneira idêntica a dados empíricos usualmente coletados em outros trabalhos de modelagem encontrados na literatura. Assim, o mosaico de pesquisas sobre o tema ganha novas dimensões na medida em que a Internet parece modificar a própria noção do que são dados.

Morfoanatomia e ontogênese das sementes de espécies de Banisteriopsis C.B. Robinson e Diplopterys A. Juss. (Malpighiaceae)

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

A estrategia de desenvolvimento no II PND: a estrategia industrial.

The objective of the second national development plan was to define industrial expansion in Brazil. The capital goods industry had to be aligned with large infrastructure projects. Also public sector national enterprise was a key element. A newly created financial base 'FIBASE', the national development bank, and state enterprises are principal agents of change in the industrial model. However, the II PND has not succeeded in changing the model because from the beginning it has not considered the realities of the Brazilian economy.-translated by J.Robertson

Educação estatística no contexto da educação crítica

This article deals with the development of three competencies defined and studied in the context of Statistics Education (literacy, thinking and statistical reasoning). These competencies based on interpretation and understanding of critical information from real data are associated with an education geared toward the formation of critical citizenship and are in agreement with the principles that guide Critical Education. In this context, we consider Mathematical Modeling as a concrete possibility for integration between Critical Education and Education Statistics. We show that work with modeling projects in the classroom takes place in a context in which teaching is guided by the fundamentals of Critical Education. We present a project entitled Teaching Statistics and the financial market which illustrates the congruence between the objectives of Education Statistics and Critical Education.

A produção matemática dos alunos em um ambiente de modelagem

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

O papel das tecnologias da informação e comunicação nos projetos de modelagem matemática

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Educação matemática online: a elaboração de projetos de modelagem

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Algumas interseções entre projetos e modelagem no contexto da Educação Matemática

In this article we present a theoretical study on possible intersections between MathematicalModeling and Projects regarding mathematics classes. Thus, we report a brief historical perspectiveon the use of Projects within the educational context. We also present a variety of conceptionsand meanings of the words Projects and Modeling. We found that, regarding the conception ofModeling assumed, there are intersections with the elements that form the idea of Projects. Theliterature then shows that essential aspects for the development of a Project are present when oneworks with Modeling. At this intersection, Modeling Projects can be elaborated.

Educação estatística crítica na formação do engenheiro ambiental

Pós-graduação em Educação Matemática - IGCE

A sewage sludge co-composting process using respirometric monitoring method in hermetic rotary reactor

This paper has the objective of monitoring the biological activity of composting process of sewage sludge, sugarcane bagasse and ground coffee in a hermetic rotary reactor using the respirometric method in laboratory scale, in order to obtain parameters and system design for large scale projects. Another particularity of this study is the use of a hermetic reactor with gas purging cycles. Purging was performed when the percentage of oxygen reached less than 5%, thus eliminating the gaseous mixture (with elevated CO2 ratio) and the introduction of environmental air with around 21% of O2, successively until the compost was stabilized. The average purge intervals obtained were 29 h and 2 min with reactor rotation frequency of 15 min. The time of the compost stabilization was optimized in 60% if compared to the 90 days in the traditional method. The results obtained can be used to design the process in industrial scale using a simple O2 gas analyzer.

Combined use of modeling techniques for the development of the conceptual model in simulation projects

The objective of this paper is to utilize the SIPOC, flowchart and IDEF0 modeling techniques combined to elaborate the conceptual model of a simulation project. It is intended to identify the contribution of these techniques in the elaboration of the computational model. To illustrate such application, a practical case of a high-end technology enterprise is presented. The paper concludes that the proposed approach eases the elaboration of the computational model. © 2008 IEEE.

Modeling the spatial and temporal heterogeneity of deforestation-driven carbon emissions: the INPE-EM framework applied to the Brazilian Amazon

We present a generic spatially explicit modeling framework to estimate carbon emissions from deforestation (INPE-EM). The framework incorporates the temporal dynamics related to the deforestation process and accounts for the biophysical and socioeconomic heterogeneity of the region under study. We build an emission model for the Brazilian Amazon combining annual maps of new clearings, four maps of biomass, and a set of alternative parameters based on the recent literature. The most important results are as follows: (a) Using different biomass maps leads to large differences in estimates of emission; for the entire region of the Brazilian Amazon in the last decade, emission estimates of primary forest deforestation range from 0.21 to 0.26 similar to Pg similar to C similar to yr-1. (b) Secondary vegetation growth presents a small impact on emission balance because of the short duration of secondary vegetation. In average, the balance is only 5% smaller than the primary forest deforestation emissions. (c) Deforestation rates decreased significantly in the Brazilian Amazon in recent years, from 27 similar to Mkm2 in 2004 to 7 similar to Mkm2 in 2010. INPE-EM process-based estimates reflect this decrease even though the agricultural frontier is moving to areas of higher biomass. The decrease is slower than a non-process instantaneous model would estimate as it considers residual emissions (slash, wood products, and secondary vegetation). The average balance, considering all biomass, decreases from 0.28 in 2004 to 0.15 similar to Pg similar to C similar to yr-1 in 2009; the non-process model estimates a decrease from 0.33 to 0.10 similar to Pg similar to C similar to yr-1. We conclude that the INPE-EM is a powerful tool for representing deforestation-driven carbon emissions. Biomass estimates are still the largest source of uncertainty in the effective use of this type of model for informing mechanisms such as REDD+. The results also indicate that efforts to reduce emissions should focus not only on controlling primary forest deforestation but also on creating incentives for the restoration of secondary forests.

The rigid-flexible nonlinear robotic manipulator: Modeling and control

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

Spatial pattern detection modeling of thrips (Thrips tabaci) on onion fields

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)