1,720,975 research outputs found

    Integration of the AmpFlSTR Identifiler PCR Amplification Kit with SRY-specific primers for gender identification

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    Dropout of the amelogenin Y-specific allele due to an interstitial deletion of the Yp involving the amelogenin Y locus (AMELY) can cause misidentification of sex genotype with potentially serious consequences in personal identification processes and criminal investigations. Inclusion of additional sex-defining markers in forensic DNA typing kits is therefore advisable. In this study, the co-amplification of the sex-determining region Y (SRY) gene and 16 STR loci included in the AmpFlSTR Identifiler PCR Amplification Kit was evaluated. Combination of SRY and Identifiler primers did not compromise the amplification outcome and generated a 90 bp male-specific SRY fragment, showing a reproducible peak height ratio in comparison with the AMELY peak. The SRY peak was detectable in presence of amounts of template DNA as low as 125 pg, and in mixed samples with a male/female DNA ratio of 1:100

    Individual assignment of body fluids in mixed stains by synonymous SNP analysis

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    Genotyping of transcribed single nucleotide polymorphisms (SNPs) in cDNA molecules derived from tissue-specific mRNAs has a potential for linking cell types to donors in mixed stains. To test this hypothesis, a single base extension assay targeting the synonymous SNP marker rs857870 in the myeloid cell nuclear differentiation antigen (MNDA) gene was designed. In blood/semen mixtures from donors with informative MNDA genotype (opposite homozygotes), only the MNDA allele of the blood contributor was observed in cDNA, even at blood/semen ratios of 1/20, corresponding to the limit of detection for mixtures by STR profiling. In blood/saliva mixtures, the MNDA allele of the saliva donor was sporadically seen in cDNA, probably due to trace amounts of blood in the donor's saliva, suggesting that the informativeness of the assay may be limited in presence of cell types with partially overlapping mRNA profiles

    STR - Analysis of maternal and foetal DNA in human placenta: a preliminary study

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    The aim of this study was to evaluate the possibility of obtaining maternal and foetal genetic profiles analysing the most common polymorphic markers (microsatellites – STR) in the forensic field, with extraction and typing of human genomic DNA at different times from placenta expulsion using different conservation methods. Although the DNA extracted from all the samples was useful in the analysis of the STR polymorphisms, only mixed profiles were obtained. This suggests that sampling with the naked eye or the stereomicroscope does not allow for complete separation of the maternal side from the foetal side and, therefore, the characterization of the single genetic profiles. The authors propose that the use of alternative isolation methods, such as the laser microdissection may be of help in solving this problem

    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
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