836 resultados para Labels.


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The increasing consumption of juices, soft drinks and teas among children has increased significantly fluoride ingestion at the age range of risk for development of dental fluorosis. Objective: The purpose of this study was to evaluate fluoride concentrations in some brands of industrialized beverages consumed by children in the city of Bauru, SP, Brazil. Material and Methods: 98 brands of beverages were analyzed, divided into 3 lots, comprising 36, 32 and 30 brands, respectively, for the first, second and third lots. Fluoride concentrations were determined by HMDS-facilitated diffusion, using a fluoride ion-specific electrode (Orion 9409). Results: Fluoride concentrations ranged between 0.04 and 1.76 μg F/mL. It was observed a wide variation in fluoride concentrations among the different brands, as well as the different lots of the same brand. There was no information on fluoride concentrations on the labels of any product. Conclusions: Some of the products analyzed could contribute significantly to the total fluoride intake and, thus, be important risk factors for development of dental fluorosis, which indicates the need of controlling the production of these beverages with respect to fluoride concentration.

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During a recent inspection in the Paleontological Collection of the Institute of Geosciences, University of São Paulo, we have identifi ed some specimens of undescribed mollusk bivalves. These called our attention for the following reasons: a) all specimens are internal molds of conjugated and closed articulated valves, some of them presenting fragments of silicifi ed shells; b) all internal molds have similar general shape and internal characters, representing specimens of the same taxon; c) the internal molds and silicifi ed valves are well preserved, including fragile structures, which are hardly preserved, such as the internal mold of the external ligament and muscle scars; d) and equally important, according to the labels of all specimens, they were collected from rocks of the Passa Dois Group (Permian), Serrinha Member of the Rio do Rasto Formation. Although who collected the shells and the precise geographic location of the specimens are still unknown, the detailed study of these fossils brings us to the conclusion that they are morphologically distinct from any heretofore published genus of the endemic fauna of bivalves from Passa Dois Group. Based in its general shape, hinge structure and muscles scars, the new form can be classifi ed under the Family Megadesmidae Vokes, 1967, the most diverse group of Permian bivalves of the Paraná Basin. The specimens are referred as Beurlenella elongatella new gen. and sp. The shell shape and taphonomy indicate that this bivalve was a shallow, rapid, active burrower, suspension feeder, probably preserved in situ, in event deposits.

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The species of Lauraceae collected by Ludwig Riedel, excluding Ocotea, are commented and contex-tualized according to the different itineraries he travelled in Brazil, from 1821 to 1836, indicating the localities and dates of collections, whenever possible. To complete this work, two diaries of Riedel have been consulted and the information from them cross-checked with the annotations found on specimen labels. An annotated list of 48 entries provides information on the status of species names and their types, currently accepted names, and collections found in different herbaria. Lectotypes for five names, Aydendron verrucosum var. attenuata, Aydendron parviflorum, Mespilodaphne parviflora, Nectandra spicata, and Oreodaphne fasciculata, are designated. The species of Ocotea collected by Riedel will be treated in part II of this series. © President and Fellows of Harvard College, 2012.

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Although association mining has been highlighted in the last years, the huge number of rules that are generated hamper its use. To overcome this problem, many post-processing approaches were suggested, such as clustering, which organizes the rules in groups that contain, somehow, similar knowledge. Nevertheless, clustering can aid the user only if good descriptors be associated with each group. This is a relevant issue, since the labels will provide to the user a view of the topics to be explored, helping to guide its search. This is interesting, for example, when the user doesn't have, a priori, an idea where to start. Thus, the analysis of different labeling methods for association rule clustering is important. Considering the exposed arguments, this paper analyzes some labeling methods through two measures that are proposed. One of them, Precision, measures how much the methods can find labels that represent as accurately as possible the rules contained in its group and Repetition Frequency determines how the labels are distributed along the clusters. As a result, it was possible to identify the methods and the domain organizations with the best performances that can be applied in clusters of association rules.

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Semi-supervised learning is applied to classification problems where only a small portion of the data items is labeled. In these cases, the reliability of the labels is a crucial factor, because mislabeled items may propagate wrong labels to a large portion or even the entire data set. This paper aims to address this problem by presenting a graph-based (network-based) semi-supervised learning method, specifically designed to handle data sets with mislabeled samples. The method uses teams of walking particles, with competitive and cooperative behavior, for label propagation in the network constructed from the input data set. The proposed model is nature-inspired and it incorporates some features to make it robust to a considerable amount of mislabeled data items. Computer simulations show the performance of the method in the presence of different percentage of mislabeled data, in networks of different sizes and average node degree. Importantly, these simulations reveals the existence of the critical points of the mislabeled subset size, below which the network is free of wrong label contamination, but above which the mislabeled samples start to propagate their labels to the rest of the network. Moreover, numerical comparisons have been made among the proposed method and other representative graph-based semi-supervised learning methods using both artificial and real-world data sets. Interestingly, the proposed method has increasing better performance than the others as the percentage of mislabeled samples is getting larger. © 2012 IEEE.

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The species of Ocotea (Lauraceae) collected by Ludwig Riedel are commented and contextualized according to the different itineraries he travelled in Brazil, from 1821 to 1836, indicating the localities and dates of collections, whenever possible. To complete this work, two diaries of Riedel have been consulted and the information from them crossed-checked with the annotations found on specimen labels. An annotated list of 44 entries provides information on the status of species names and their types, currently accepted names, and collections found in different herbaria. Lectotypes for 19 names are designated, two new synonyms are proposed, as well as the new combination Ocotea estrellensis (Meisn.) P.L.R. Moraes, based on Oreodaphne estrellensis Meisn. © President and Fellows of Harvard College, 2012.

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Identification and classification of overlapping nodes in networks are important topics in data mining. In this paper, a network-based (graph-based) semi-supervised learning method is proposed. It is based on competition and cooperation among walking particles in a network to uncover overlapping nodes by generating continuous-valued outputs (soft labels), corresponding to the levels of membership from the nodes to each of the communities. Moreover, the proposed method can be applied to detect overlapping data items in a data set of general form, such as a vector-based data set, once it is transformed to a network. Usually, label propagation involves risks of error amplification. In order to avoid this problem, the proposed method offers a mechanism to identify outliers among the labeled data items, and consequently prevents error propagation from such outliers. Computer simulations carried out for synthetic and real-world data sets provide a numeric quantification of the performance of the method. © 2012 Springer-Verlag.

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A new highly luminescent europium complex with the formula [Eu(TTA) 3(Bpy-Si)], where TTA stands for the thenoyltrifluoroacetone, (C 4H3S)COCH2COCF3, chelating ligand and Bpy-Si, Bpy-CH2NH(CH2)3Si(OEt)3, is an organosilyldipyridine ligand displaying a triethoxysilyl group as a grafting function has been synthesized and fully characterized. This bifunctional complex has been grafted onto the surface of dense silica nanoparticles (NPs) and on mesoporous silica microparticles as well. The covalent bonding of [Eu(TTA)3(Bpy-Si)] inside uniform Stöber silica nanoparticles was also achieved. The general methodology proposed could be applied to any silica matrix, allowed high grafting ratios that overcome chelate release and the tendency to agglomerate. Luminescent silica-based nanoparticles SiO2-[Eu(TTA)3(Bpy-Si)], with a diameter of 28 ± 2 nm, were successfully tested as a luminescent labels for the imaging of Pseudomonas aeruginosa biofilms. They were also functionalized by a specific monoclonal antibody and subsequently employed for the selective imaging of Escherichia coli bacteria. © 2013 American Chemical Society.

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The aim of this study was to evaluate consumers' use and interpretation of ready to drink orange juice and nectar label information and its influence on the purchase decision. One hundred and sixty-seven consumers of ready to drink orange juice and nectar were interviewed. The labels were analysed to evaluate their conformance to Brazilian legislation. The manufacturing and shelf life date were the information most often checked, followed by health related issues. Brand, price and flavour were the most important factors for purchase decision. Brand and flavour showed significant association with consumer age. For most interviewed, 'nectar', 'whole' and 'natural' or '100% natural' were not well understood; they were not in accordance with the Brazilian legislation. 'Nectar', 'whole' and 'natural' or '100% natural' received a positive interpretation, whereas 'reconstituted juice' was considered a negative expression. Nevertheless, none of the labels completely conformed to the specific nutritional labelling legislation. © 2013 Institute of Food Science and Technology.

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Were analyzed 29 samples, 16 wet and 13 dry cat food of different flavors. The iodine levels ranged from 2.7 to 3.4 (average 2.95 mg/kg/MS) in dry food and 2.9 to 4.0 (average 3.4 mg/kg/MS) in the wet food. Eight samples (27.6%) specified on the package the assurance level (maximum) of iodine, with a dry (2.0 mg/kg/diet) and seven wet (0.04 mg/kg/diet). All non-compliant, because the values were higher than declared. Cats fed commercial diets consume proportionally more iodine in wet food than cats fed dry diets, but both with high levels of iodine. All samples analyzed were above the amounts stated on the labels. Accordingly, the wet and dry commercial food for cats show no reliable values with those reported, resulting in a possible excessive intake of this trace element for animals in question.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)