Development and sensory analysis of shampoo for curly hair

Objective: This study aimed to compare the sensory performance of a shampoo formulation with Polyurethane-14, AMP-acrylates copolymer (PAAC) in relation to control formulation in curly and natural hair tresses. Methods: Curly and natural hair tresses (n = 8) of equal size and weight were pre-treated by washing with a standard shampoo. After the hair tresses were treated with a formulation containing polymer (formulation A) and compared to hair tresses treated with control formulation (Formulation B). Each panelist (n=2) is asked to indicate which tress performs better for each of seven sensory attributes evaluated (quantity and creamy foam, combing, wet touch, frizz formation, curl definition and volume). It was collected images of hair tresses at 0, 1, 2, 4 and 24 hours of washing, comparing the attributes: volume, frizz formation and curl definition. The results were analyzed using table to test of paired assessment, being: SUPERIOR results - 8 and 7 positive evaluations; SIMILAR results - 2 to 6 positive evaluations; INFERIOR results - 1 and 0 positive evaluations. Results: The addition of the PAAC on the shampoo formulation provided definition and modeling of curls, reducing volume and frizz in 24 hours. There was also lower foam formation in the formulation with polymer PAAC. However, it is important to note that this attribute has inversely proportional effect to the creamy foam, since more creamy foam, smaller quantity. Conclusions: It was concluded that the shampoo developed was effective in defining and modeling curl in natural and curly hair.

Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees

Plant phenology is one of the most reliable indicators of species responses to global climate change, motivating the development of new technologies for phenological monitoring. Digital cameras or near remote systems have been efficiently applied as multi-channel imaging sensors, where leaf color information is extracted from the RGB (Red, Green, and Blue) color channels, and the changes in green levels are used to infer leafing patterns of plant species. In this scenario, texture information is a great ally for image analysis that has been little used in phenology studies. We monitored leaf-changing patterns of Cerrado savanna vegetation by taking daily digital images. We extract RGB channels from the digital images and correlate them with phenological changes. Additionally, we benefit from the inclusion of textural metrics for quantifying spatial heterogeneity. Our first goals are: (1) to test if color change information is able to characterize the phenological pattern of a group of species; (2) to test if the temporal variation in image texture is useful to distinguish plant species; and (3) to test if individuals from the same species may be automatically identified using digital images. In this paper, we present a machine learning approach based on multiscale classifiers to detect phenological patterns in the digital images. Our results indicate that: (1) extreme hours (morning and afternoon) are the best for identifying plant species; (2) different plant species present a different behavior with respect to the color change information; and (3) texture variation along temporal images is promising information for capturing phenological patterns. Based on those results, we suggest that individuals from the same species and functional group might be identified using digital images, and introduce a new tool to help phenology experts in the identification of new individuals from the same species in the image and their location on the ground. © 2013 Elsevier B.V. All rights reserved.

Fruit color and contrast in seasonal habitats - a case study from a cerrado savanna

Communication contributes to mediate the interactions between plants and the animals that disperse their genes. As yet, seasonal patterns in plant-animal communication are unknown, even though many habitats display pronounced seasonality e.g. when leaves senescence. We thus hypothesized that the contrast between fruit displays and their background vary throughout the year in a seasonal habitat. If this variation is adaptive, we predicted higher contrasts between fruits and foliage during the fruiting season in a cerrado-savanna vegetation, southeastern Brazil. Based on a six-year data base of fruit ripening and a one-year data set of fruit biomass, we used reflectance measurements and contrast analysis to show that fruits with distinct colors differed in the beginning of ripening and the peak of fruit biomass. Black, and particularly red fruits, that have a high contrast against the leaf background, were highly seasonal, peaking in the wet season. Multicolored and yellow fruits were less seasonal, not limited to one season, with a bimodal pattern for yellow ones, represented by two peaks, one in each season. We further supported the hypothesis that seasonal changes in fruit contrasts can be adaptive because fruits contrasted more strongly against their own foliage in the wet season, when most fruits are ripe. Hence, the seasonal variation in fruit colors observed in the cerrado-savanna may be, at least partly, explicable as an adaptation to ensure high conspicuousness to seed dispersers. © 2013 The Authors.

Desenvolvimento de produto tipo “snack” a base de carne mecanicamente separada de tilápia do Nilo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Desenvolvimento de uma Plataforma de Software para a Modelagem Digital de Terrenos baseada em TIN

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise discriminatória de alvos da paisagem urbana em imagens aéreas multiespectrais

Pós-graduação em Ciências Cartográficas - FCT

Parâmetros produtivos, composição corporal e qualidade da carne de bovinos nelore criados em regime extensivo em função da idade e peso

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Efeito do uso de Lactobacillus casei como cultura adjunta na qualidade tecnológica de queijo prato com reduzido teor de gordura

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Perfil sensorial e aceitação de bolos de laranja formulados com prebióticos

Pós-graduação em Engenharia e Ciência de Alimentos - IBILCE

Caracterização física e química do solo e avaliação do desenvolvimento de plantas de eucalipto em função do espaçamento e da adubação, visando a colheita precoce para utilização em bioenergia

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Desempenho operacional de um subsolador de hastes com curvatura lateral (“Paraplow”), em função de diferentes velocidades de deslocamento e profundidades de trabalho

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desenvolvimento de produto panificável à base de produtos de mandioca visando os hipersensíveis ao glúten

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Recomendação de herbicidas na cultura da cana-de-açúcar baseada no potencial de sorção do solo e seu impacto econômico

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Produção, digestibilidade e amido resistente em biscoitos extrusados a partir de farinha e fécula de batata doce e mandioca

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Estudo reológico de sistemas gelatina/colágeno/amido para obtenção de géis e aplicação dietéticas de gelatina

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)