1,721,049 research outputs found
Different levels of variability in subtypes 1b and 4a of hepatitis C viruses
No full textWe performed genetic and phenic analyses to evaluate nucleotide and amino-acid sequences of the amino-terminus of the E1 protein of HCV genotype 1b (extracted from databank) and 4a (characterised in this study). The non-synonymous (ka) mutation analysis demonstrated that the genome of genotype 1b was not saturated by variations, with a rate of transition/transversion (s/v) of 1.5, which is similar to the expected ratio (i.e., 2.0). The s/v ratio in genotype 4a isolates was lower (0.98), indicating saturation due long-term variability. Moreover, the genotype 1b sequences showed a higher number of ka mutations (s+v) (mean of 2.8 per sequence) than genotype 4a (mean of 1.5). The introduction of ka mutations resulted in a higher degree of amino acid variability in genotype 4a. In the genome of genotype 1b, each nucleotide mutation introduced new amino acids, with a Granthan distance of 3.35-42.5, whereas for genotype 4a the distances ranged from 48.8 to 102.1. The phenic analysis also indicated different and complex patterns of amino-acid substitution. Finally, diverse isoelectric points and hydrophobicity were predicted for the two genotypes, with a higher acidity for genotype 4a E1 proteins
Hepatitis B, C and Delta virus infections in Albanian patients with chronic liver disease: evaluation of possible changes during the last 10 years
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Lack of WHV integration nearby N-myc2 and in the downstream b3n and win loci in a considerable fraction of liver tumors with activated N-myc2 from naturally infected wild woodchucks
No full textIn liver tumors induced by chronic WHV infection in the WHV/woodchuck model of HBV infection, activation of genes of the myc family by WHV insertion has been well documented. Several studies have shown that N-myc2 is by far the most frequently involved, and in most cases, its transcriptional activation is due to WHV insertion nearby the gene. N-myc2 has been shown to be also activated by WHV insertion in two downstream loci, b3n and win. Although the extent of insertion in these latter loci in woodchuck tumors has not been investigated, their discovery has led to the notion that therein WHV insertion accounts for N-myc2 activation in the remaining tumors expressing the proto-oncogene in absence of any detectable alteration nearby the gene, a notion remained unproved and not further investigated yet. In the majority of cases, the above observations were derived from tumors developed in colony born laboratory bred woodchucks experimentally infected with standardized viral inocula, mostly of the same lineage. In the present work, we investigated a survey of liver tumors naturally developed in wild woodchucks with naturally acquired chronic WHV infection. Tumors had histological features of well to moderately differentiated HCCs. In most animals, multiple tumor nodules were observed; in the great majority of cases, they were shown to be independent tumors because their WHV integration patterns were not clonally related. 53 independent tumors were investigated for N-myc activation and WHV integration nearby N-myc genes and in the b3n and win loci. Comparison of our results with data from previous studies revealed that, in tumors from naturally infected wild woodchucks, the frequency of WHV integration nearby N-myc2 has a tendency to be lower and, in addition, N-myc2 activation is due to WHV integration nearby the gene significantly less frequently than in tumors from experimentally infected colony born animals (12/28, 43% vs. 15/20, 75%, P = 0.0397). These findings are likely related to the less uniform conditions as to infecting virus and host genetic background in naturally infected wild woodchucks with respect to experimentally infected colony born woodchucks and suggest that viral and/or host factors may influence the site of viral insertion finally detected in overt tumors. In addition, more than one third (11/28, 39%) tumors with activated N-myc2 transcription did not show rearrangement either nearby the gene, or in b3n or in win. These findings challenge the notion that integration in the downstream b3n and win loci is responsible for N-myc2 activation in tumors lacking insertion nearby N-myc2 and suggest that in a considerable fraction of liver tumors, at least from wild woodchucks, N-myc2 activation might be due either to WHV integration in further regions of the N-myc2 chromosomal domain or to other mechanisms related or unrelated to viral insertion
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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