1,720,974 research outputs found

    Effect of dietary turmeric powder (Curcuma longa L.) on cooked pig meat quality

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    The study was carried out on raw meat samples derived from pigs fed with a control diet and a diet supplemented with daily 4.5 g of turmeric powder per pig. After slaughter raw meat was stored for 7 days at 4°C. At Day 0 and Day 7 samples were cooked in a preheated oven at 163°C to the internal temperature of 71°C. Colour parameters, Warner Bratzler shear force, TBARS and antioxidant capacity (ABTS, DPPH and FRAP) were determined at Day 0 and Day 7. Dietary turmeric powder induced an increase in cooked meat of L* value (P < 0.001) and reductions in a*, b* indexes and in C* value (P < 0.01, P < 0.001 and P < 0.001, respectively). Colour modifications in cooked meat were correlated with colour parameters of raw samples. The Curcuma longa powder dietary supplementation did not affect lipid oxidation, Warner Bratzler shear force and antioxidant capacity of cooked meat (P > 0.05)

    Preliminary genetic variability analysis of the native Garfagnina goats based on microsatellite polymorphism

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    For the development of an appropriate programme for conservation of animal genetic resources, genetic typifying is considered an important preliminary step. In this paper, we have done a preliminary genetic variability analysis of 48 adult Garfagnina goats belonging to a single flock of Tuscany using 12 STR markers (MAF065, SRCRSP05, INRA023, McM527, CSRD247, SRCRSP23, OarFCB20, TGLA53, INRA005, INRA063, ETH10, ILSTS87) some of which belonged to a markers panel validated by the International Society of Animal Genetics (ISAG) and others routinely used by the facilities of the Laboratorio di Genetica e Servizi (Associazione Italiana Allevatori, Migliaro, Italy). Garfagnina is an Italian native goat breed registered on the Tuscan regional repertory of genetic resources at risk of extinction and have a total of about 745 animals belonging to 17 flocks. Garfagnina breed is important for livestock biodiversity preservation, being a key animal for specialized cheese market in the Tuscan region. For each marker the following parameters were computed: number of alleles, effective allele size, observed heterozygosity and polymorphism information content (PIC). Allelic frequencies were estimated by direct counting. To analyze the genetic variability of the population, the following parameters were computed at population level: molecular co-ancestry coefficients (fij), kinship distance (Dk), and inbreeding coefficient (Fi). Moreover, genetic similarities (GS) among all animals were investigated using the Individual Multilocus Genotype. The number of alleles ranged from 3 to 9 (mean 5.92) whereas the expected heterozygosity ranged from 0.48 to 0.83 (mean 0.69). There was a high genetic similarity within the whole population (0.43) showing the great homogeneity of the sampled animals, as confirmed also by the small kinship distance (0.34). However inbreeding coefficient was low (0.32). The results of this research indicate that, despite the fact that animals are considered to belong to the same breeding, the genetic variability of this Garfagnina goat population is acceptable for a population with a reduced numerical value

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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