1,721,027 research outputs found

    Characterization of the complete chloroplast genome of Salix chienii W.C. Cheng (Salicaceae) from Southern China

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    Salix chienii W.C. Cheng (Salicaceae) is a dioecious small tree with high economic and medicinal value. In this study, we reported the complete chloroplast DNA (cpDNA) of S. chienii by employing HiSeq sequencing and de novo assembly. The chloroplast genome of S. chienii is 155,672 bp in length, with a 36.60% GC content; it contains one large single copy (LSC), one small single copy (SSC) and two inverted repeat (IR) regions with lengths of 84,494, 16,330, and 27,424 bp, respectively. A total of 132 genes were predicted, including 85 protein-coding genes, 37 tRNA genes, 8 rRNA genes and 2 pseudogenes. A maximum-likelihood phylogenetic tree showed that S. chienii is closely related to S. wilsonii and S. triandra

    The complete chloroplast genome of Scurrula chingii (W.C. Cheng) H.S. Kiu (Loranthaceae), a hemiparasitic shrub

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    Scurrula chingii (W.C. Cheng) H.S. Kiu is a stem hemiparasite of the genus Scurrula in the family Loranthaceae distributed in southwest China and northern Vietnam. Here, we report and characterize the complete plastid genome sequence of S. chingii to provide genomic resources useful for the phylogenetic studies of Santalales. The plastome of S. chingii is 122,764 bp in length, consisted of a large single-copy region (70,726 bp), a small single-copy region (6,091 bp), and a pair of inverted repeat regions (22,974 bp). The GC content of the whole plastome is 37.2%. It contains 109 genes, including 69 CDS (protein-coding genes), eight rRNAs, and 32 tRNAs. The alignment of 14 species complete chloroplast genomes of Loranthaceae was implemented and a phylogenetic tree was constructed using maximum-likelihood (ML) method, which revealed that S. chingii clustered with Scurrula parasitica and Taxillus thibetensis as a monophyletic group

    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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    Flavonoids from <i>Ficus pandurate</i> var. <i>angustifolia</i> W.C. Cheng Restore Cognitive Impairment and Regulate the Gut Microbiota in Sleep-Deprived Mice

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    Sleep deprivation (SD) induces cognitive impairment associated with gut microbiota dysbiosis, making it crucial to explore natural remedies targeting the microbiota–gut–brain axis. This study aims to investigate whether Ficus pandurata var. angustifolia W.C. Cheng (a traditional medicine–food plant rich in flavonoids) can mitigate cognitive impairment caused by SD by modulating the gut microbiota. The sleep-deprived mouse model was established using the multiple platform water environment method. This study investigated the effects of F. pandurata var. angustifolia flavonoids (FCFs) via behavioral tests, 16S rRNA sequencing, and biochemical analyses to assess cognitive function, gut microbiota, and related pathways. FCF alleviated SD-induced cognitive deficits, reversed gut microbiota dysbiosis (increased beneficial bacteria like Lactobacillus, reduced harmful ones like Desulfovibrio), promoted short-chain fatty acids production, improved colonic histopathology and intestinal barrier function, reduced serum lipopolysaccharide, inhibited glial cell activation and TLR4/NF-κB signaling, and regulated neurotransmitters. In conclusion, FCF ameliorates SD-induced cognitive impairment through regulating gut microbiota, enhancing intestinal barrier, and suppressing neuroinflammation via the microbiota–gut–brain axis, providing a theoretical basis for its application

    Metasequoia glyptostroboides Hu & W.C. Cheng

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    https://thekeep.eiu.edu/herbarium_specimens_byname/4518/thumbnail.jp
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