Morfometria de compartimentos hidrológicos e qualidade hídrica do município de Batatais-SP

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Atributos físicos, químicos e mineralógicos de um Latossolo Vermelho Eutroférrico sob dois sistemas de colheita de cana-de-açúcar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Substâncias húmicas aquáticas do Rio Negro-AM: influência da sazonalidade nas características estruturais, distribuição de carbono e capacidade de complexação por íons Hg(II) em função do tamanho molecular

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Adaptabilidade e estabilidade de clones de cana-de-açúcar

The objective of this study was to identify clones of sugarcane with good stability and adaptability in the State of São Paulo, Brazil, and also identifying locations most representative for selection and experimentation. Ten clones and two commercial checks of medium-late maturation were evaluated in the first-ratoon of experiments harvested in August 2009, using bissegmented regression and AMMI (Additive Main Effects and Multiplicative Interaction Analysis) methods. The results of two methods were compared and they evidenced that the clones RB975201, RB975157, RB975932, RB975242 and RB975162 are the most promising, showing higher production when compared to the checks, higher stability observed in one or both statistical methods and broader or more specific adaptability. The environment Tarumã presented higher stability and capacity to discriminate genotypes, allowing an ordering more reliable as compared to the overall mean of the environments tested.

Imagem corporal e somatotipo: investigações em população de mulheres universitárias

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A influência da integração multissensorial na construção do espaço semântico no sistema Kansei de engenharia: um estudo de Design Ergonômico com barbeadores descartáveis

Pós-graduação em Design - FAAC

Separation of Scaptotrigona postica Workers into Defined Task Groups by the Chemical Profile on Their Epicuticle Wax Layer

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

Sol-gel thin-film based mesoporous silica and carbon nanotubes for the determination of dopamine, uric acid and paracetamol in urine

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

A comprehensive study on the phenolic profile of widely used culinary herbs and spices: Rosemary, thyme, oregano, cinnamon, cumin and bay

Herbs and spices have long been used to improve the flavour of food without being considered as nutritionally significant ingredients. However, the bioactive phenolic content of these plant-based products is currently attracting interest.In the present work, liquid chromatography coupled to high-resolution/accurate mass measurement LTQ-Orbitrap mass spectrometry was applied for the comprehensive identification of phenolic constituents of six of the most widely used culinary herbs (rosemary, thyme, oregano and bay) and spices (cinnamon and cumin). In this way, up to 52 compounds were identified in these culinary ingredients, some of them, as far as we know, for the first time. In order to establish the phenolic profiles of the different herbs and spices, accurate quantification of the major phenolics was performed by multiple reaction monitoring in a triple quadrupole mass spectrometer. Multivariate statistical treatment of the results allowed the assessment of distinctive features among the studied herbs and spices. (C) 2014 Elsevier Ltd. All rights reserved.

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.

Controle estatístico de processo aplicado ao monitoramento de perdas na colheita mecanizada de cana-de-açúcar

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Efeito do laser Nd:Yag no pré-tratamento dentinário e selamento marginal, em restaurações de cimento de ionômero de vidro resina modificado

Pós-graduação em Odontologia Restauradora - ICT

Iron oxides and quality of organic matter in sugarcane harvesting systems

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

Acute auditory stimulation with different styles of music influences cardiac autonomic regulation in men

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

Uma aplicação do planejamento de experimentos e carta de controle em uma indústria de cosmésticos: ciclo DMAIC

Pós-graduação em Engenharia de Produção - FEB