107 resultados para indexing


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Este estudo apresenta uma síntese bibliográfica sobre as metodologias de avaliação que foram propostas por pesquisadores internacionais e nacionais e utilizadas por indexadores de instituições de ensino e/ou pesquisas atuantes em unidades de informação e/ou centros de documentação, bem como aquelas que foram analisadas pelas opiniões dos próprios usuários da informação registrada e disponibilizada em inúmeros sistemas de informações, com enfoques nas abordagens quantitativa, qualitativa e qualitativa/cognitiva, respectivamente.

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A política de indexação deve ser constituída de estratégias que permitam o alcance dos objetivos de recuperação do sistema de informação. O indexador tem a função primordial de compreender o documento ao realizar uma análise conceitual que represente adequadamente seu conteúdo. Utilizando a leitura como evento social/protocolo verbal em grupo, nosso objetivo é contribuir com a literatura sobre política de indexação e apresentar propostas de ensino de política de indexação direcionadas a alunos de graduação e pós-graduação, além de uma experiência de educação à distância com vistas à formação do bibliotecário em serviço. Os resultados obtidos demonstraram que a metodologia pode ser utilizada por sistemas de informação para que se tenha acesso ao conhecimento do indexador. Conclui que o indexador deve ser o alvo de investimento dos sistemas de informação e sugere aos sistemas de informação que a experiência do indexador também seja utilizada como parâmetro para política de indexação.

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The indexing automation has been discussed by researches in the area of Information Science however the discussions have not been so clear on the use of indexing software. Thus, it is necessary to know the indexing software, as well as its application in the analysis of documentary contents. To do so, it is proposed, here, to investigate both the consistency of indexing and the exhaustiveness and precision of the information retrieval, by means of comparative analysis between SISA (Sistema de Indizacion Semi-Automatico) automatic index and BIREME ( Centro Latino-Americano e do Caribe de Informação em Ciencias da Saude) manual indexing. The aim of this paper is to contribute to the theoretical development of the indexing automation and the improvement of SISA. Thus, SISA application and evaluation was used based on the calculation of the consistency indexes between the two types of indexing, and the calculation of the exhaustiveness and precision indexes in information retrieval, by means of searching into BDSISA and BIREME databases, composed by descriptors taken from SISA and manual indexing respectively. The differences among the terms used in scientific papers comparing to the DeCS ones were the main difficult factor to achieve higher consistency indexes in the indexing. These differences influenced the exhaustiveness and precision indexes in the information retrieval, showing that it is necessary to improve the documentary language used by SISA software and to incorporate linguistic methods.

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The aim of this paper is to evaluate the consistency indexes among 30 Brazilian university libraries from the south and south-east regions through a specific mathematical formula. It was selected a sample of 30 university libraries that, according to the information in their official sites, have a collection consisted of more than 100.000 copies and allow the search into the on-line catalog. Searches were carried out in every university by means of their sites, requesting books that contained a certain word in its title and were printed in a certain year. The response was a list of available titles in the library, from which we chose at random a title and asked to visualize the complete record to verify the existence of a given subject. This procedure was repeated until we found the same title in five libraries with the chosen subjects. The result is 10 trials, each one consisting of one figure and one table showing the selected libraries, the subjects, the documentary languages ( tools) and the consistency indexes relaxed and rigid. These trials show great discrepancy between the values of consistency indexes with intervals between 73,3% to 34,4% in the relaxed index, and between 60% and 9,6% in the rigid one. It was revealed that the coincidence in determining the subjects is not too high remaining below 39%. It is concluded that the difference between the consistency indexes may be due to factors as: incompatibility among documentary languages; lack of updating of these languages so as to follow the knowledge evolution; absence of a well-defined indexing policy with guidelines clearly established. Procedures of indexing followed by indexers could contribute to the consistency index to be bigger in percentage, since there would be parameters for the indexing process.

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We present a checklist of feather mites known from native birds in Brazil. The list was compiled from a survey of Brazilian records published in indexing databases (e.g. Zoological Records) and from the available literature. To date, 185 nominal species representing 21 families have been recorded from Brazilian birds. Associations with 15 bird orders were found: Anseriformes, Apodiformes, Caprimulgiformes, Ciconiiformes, Columbiformes, Cuculiformes, Falconiformes, Galliformes, Gruiformes, Opisthocomiformes, Passeriformes, Piciformes, Psittaciformes, Tinamiformes and Trogoniformes. These birds sum to 218 species, which represent only 12.4% of all bird species occurring in Brazil. The feather mite fauna of several species-rich and important bird orders in Brazil remain unexplored, including Cathartiformes, Charadriiformes, Coraciiformes, Galbuliformes and Strigiformes. We estimate that between 900 and 5300 feather mite species are expected to occur on Brazilian birds, which is at least five times greater than current records. The training of researchers with expertise in the taxonomy of this group of mites should be stimulated so that there is a compatible number of taxonomists to discover and describe the almost unexplored feather mite fauna in Brazil.

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O vírus A da videira (Grapevine virus A, GVA) e o vírus B da videira (Grapevirus virus B, GVB) estão associados à acanaladura do lenho de Kober (Kober stem grooving) e ao fendilhamento cortical da videira (grapevine corky bark), respectivamente. Este trabalho descreve o uso de sondas moleculares de cDNA na detecção de isolados do GVA (GVA-SP) e do GVB (GVB-C-SP e GVB-I-SP) em videiras (Vitis spp.) e fumo (Nicotiana occidentalis). As sondas marcadas com digoxigenina foram produzidas por RT-PCR utilizando oligonucleotídeos específicos para os genes da proteína capsidial. Os RNA totais foram extraídos de 45 plantas de diversas variedades de videira e de 13 plantas de fumo inoculadas mecanicamente com o GVB. Os RNA extraídos das plantas infetadas, indexadas biologicamente, hibridizaram com as sondas, não se verificando reação com plantas sadias. Para confirmar os resultados de hibridização, foram também feitos testes de RT-PCR. A utilização de hibridização dot-blot com sondas de cDNA mostrou-se eficaz na detecção dos vírus com especificidade e sensibilidade, ressaltando-se que, preferencialmente, folhas maduras e ramos dormentes devem ser utilizados nos testes diagnósticos para o GVB e GVA, respectivamente.

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

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

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Estudaram-se os procedimentos de indexação biológica e bioquímica em um experimento de avaliação do uso de viróides como agentes ananicantes para pomeleiro 'Marsh Seedless'. em algumas parcelas, houve segregação de viróides, sendo que, em duas, a segregação foi de CEVd (viróide da exocorte dos citros) e, em outras duas, não foi detectada a presença de CVd-II (viróide dos citros II). Como conseqüência desta segregação, não ocorreram sintomas típicos da exocorte em cidra nas parcelas nas quais houve segregação de CEVd, o que ocorreu nas parcelas em que a segregação foi de CVd-II, indicando que é necessária a presença de CEV para a manifestação de sintomas típicos de exocorte em cidra. Numa quinta parcela, não se detectaram viróides, provavelmente, devido à ausência dos mesmos no material de inoculação do teste biológico (escape), já que a planta de campo teve desenvolvimento vegetativo normal e ausência de sintomas no tronco. Finalmente, em uma sexta parcela, o que ocorreu, foi uma segregação drástica, não relatada na literatura, já que a planta de campo mostrou redução de porte e sintomas no tronco. A coleta de varetas para indexação deve ser mais rigorosa em função da ocorrência de segregação.

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The accurate determination of thermophysical properties of milk is very important for design, simulation, optimization, and control of food processing such as evaporation, heat exchanging, spray drying, and so forth. Generally, polynomial methods are used for prediction of these properties based on empirical correlation to experimental data. Artificial neural networks are better Suited for processing noisy and extensive knowledge indexing. This article proposed the application of neural networks for prediction of specific heat, thermal conductivity, and density of milk with temperature ranged from 2.0 to 71.0degreesC, 72.0 to 92.0% of water content (w/w), and 1.350 to 7.822% of fat content (w/w). Artificial neural networks presented a better prediction capability of specific heat, thermal conductivity, and density of milk than polynomial modeling. It showed a reasonable alternative to empirical modeling for thermophysical properties of foods.

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Synchrotron X-ray powder diffraction (XRPD) data were collected for the silver(I)-aspartame complex [Ag(C14H17N2O5)]center dot 1/2 H2O. The complex was obtained from a stoichiometric mixture of aspartame (3-amino-N-(alpha-carboxyphenethyl)-succinamic acid N-methyl ester, C14H18N2O5), Na2CO3, and AgNO3. Indexing using Crysfire and Chekcell proposed an orthorhombic unit cell with space group P222(1). The lattice parameters are a = 12.4750(1) angstrom, b = 21.60614(14) angstrom, and c = 4.88888(9) angstrom. (C) 2006 International Centre for Diffraction Data.

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Characteristics of speech, especially figures of speech, are used by specific communities or domains, and, in this way, reflect their identities through their choice of vocabulary. This topic should be an object of study in the context of knowledge representation once it deals with different contexts of production of documents. This study aims to explore the dimensions of the concepts of euphemism, dysphemism, and orthophemism, focusing on the latter with the goal of extracting a concept which can be included in discussions about subject analysis and indexing. Euphemism is used as an alternative to a non-preferred expression or as an alternative to an offensive attribution-to avoid potential offense taken by the listener or by other persons, for instance, pass away. Dysphemism, on the other hand, is used by speakers to talk about people and things that frustrate and annoy them-their choice of language indicates disapproval and the topic is therefore denigrated, humiliated, or degraded, for instance, kick the bucket. While euphemism tries to make something sound better, dysphemism tries to make something sound worse. Orthophemism (Allan and Burridge 2006) is also used as an alternative to expressions, but it is a preferred, formal, and direct language of expression when representing an object or a situation, for instance, die. This paper suggests that the comprehension and use of such concepts could support the following issues: possible contributions from linguistics and terminology to subject analysis as demonstrated by Talamo et al. (1992); decrease of polysemy and ambiguity of terms used to represent certain topics of documents; and construction and evaluation of indexing languages. The concept of orthophemism can also serves to support associative relationships in the context of subject analysis, indexing, and even information retrieval related to more specific requests.

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

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Objective: To increase the knowledge base regarding pulmonology research in Brazil. Methods: A retrospective, observational study of the abstracts published in the Annals of the Brazilian Pulmonology and Phthisiology Conferences held from 1986 to 2004, quantifying the institutions of origin by geographic distribution and type, as well as categorizing the abstracts by study design and topic. Results: A total of 6467 abstracts were published. The institutions of origin were located, variously, in the Southeast (3870 abstracts), South (1309), Northeast (783), Central-West (267) and North (84). There were 94 abstracts originating from foreign institutions, especially from institutions in Portugal (56.3%) and the United States (13.8%). Most of the studies (5825) were conducted in public Brazilian institutions. There were 4234 clinical studies, 1994 case reports and 239 original research articles. A marked, progressive increase was observed in the number of clinical studies and case reports during the period evaluated. Overall, the most common themes were tuberculosis and other infections diseases (25.2%), following by oncology (11.6%), interstitial lung diseases (8.8%) and thoracic surgery (8.5%). Nevertheless, the number of abstracts on each topic varied widely from year to year. Conclusion: Public Brazilian institutions are the principal sources of pulmonology research in Brazil. Such research activity is concentrated in the southeastern part of the country. Case reports account for one-third of this activity. Although there was great variability in the subjects addressed, diseases that are highly prevalent in Brazil, such as tuberculosis and other infections diseases, were the most common topics.

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Most of the tasks in genome annotation can be at least partially automated. Since this annotation is time-consuming, facilitating some parts of the process - thus freeing the specialist to carry out more valuable tasks - has been the motivation of many tools and annotation environments. In particular, annotation of protein function can benefit from knowledge about enzymatic processes. The use of sequence homology alone is not a good approach to derive this knowledge when there are only a few homologues of the sequence to be annotated. The alternative is to use motifs. This paper uses a symbolic machine learning approach to derive rules for the classification of enzymes according to the Enzyme Commission (EC). Our results show that, for the top class, the average global classification error is 3.13%. Our technique also produces a set of rules relating structural to functional information, which is important to understand the protein tridimensional structure and determine its biological function. © 2009 Springer Berlin Heidelberg.