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    Fig. 2. 1H–1H in Identification of methoxylchalcones produced in response to CuCl treatment and pathogen infection in barley

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    Fig. 2. 1H–1H COSY correlations (indicated by blue bold line) of 1 (A) and chemical structures of compounds 1–3 (B). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)Published as part of Ube, Naoki, Katsuyama, Yuhka, Kariya, Keisuke, Tebayashi, Shin-ichi, Sue, Masayuki, Tohnooka, Takuji, Ueno, Kotomi, Taketa, Shin & Ishihara, Atsushi, 2021, Identification of methoxylchalcones produced in response to CuCl treatment and pathogen infection in barley, pp. 1-10 in Phytochemistry (112650) 184 on page 4, DOI: 10.1016/j.phytochem.2020.112650, http://zenodo.org/record/829232

    Fig. 1 in Identification of methoxylchalcones produced in response to CuCl treatment and pathogen infection in barley

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    Fig. 1. Comparison of total ion and selected ion chromatograms of extracts from CuCl2-treated and control barley leaves. The barley leaves were treated with 0.5 mM CuCl2 solution by the floating method. Metabolites in the leaves were extracted 72 h after treatment and analyzed by LC-MS. Three independent samples (3 plant/sample) from either CuCl2 treated or control leaves were analyzed, and increased accumulation of 1–3 in the CuCl2 treated leaves was detected in all analyses.Published as part of Ube, Naoki, Katsuyama, Yuhka, Kariya, Keisuke, Tebayashi, Shin-ichi, Sue, Masayuki, Tohnooka, Takuji, Ueno, Kotomi, Taketa, Shin & Ishihara, Atsushi, 2021, Identification of methoxylchalcones produced in response to CuCl treatment and pathogen infection in barley, pp. 1-10 in Phytochemistry (112650) 184 on page 3, DOI: 10.1016/j.phytochem.2020.112650, http://zenodo.org/record/829232

    Fig. 6 in Identification of methoxylchalcones produced in response to CuCl treatment and pathogen infection in barley

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    Fig. 6. Accumulation of PMC and TMC in JA-treated leaves of various barley cultivars. Leaf segments were treated with 0.5 M JA solution for 72 h by floating method. Distilled water containing 0.25% Tween20 was used as a control. Data represent mean and standard deviation values obtained from three independent samples (3 plant/sample). Asterisks indicate a statistically significant difference from the value of the control (*p <0.05; **p <0.01; Student's t-test).Published as part of Ube, Naoki, Katsuyama, Yuhka, Kariya, Keisuke, Tebayashi, Shin-ichi, Sue, Masayuki, Tohnooka, Takuji, Ueno, Kotomi, Taketa, Shin & Ishihara, Atsushi, 2021, Identification of methoxylchalcones produced in response to CuCl treatment and pathogen infection in barley, pp. 1-10 in Phytochemistry (112650) 184 on page 6, DOI: 10.1016/j.phytochem.2020.112650, http://zenodo.org/record/829232

    Fig. 5 in Identification of methoxylchalcones produced in response to CuCl treatment and pathogen infection in barley

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    Fig. 5. Antifungal activities of PMC and TMC. The images show the appearance of the conidia of F. graminearum (Fg) and B. sorokiniana (Bs) when treated with distilled water as a control and with 1000 μМ PMC and TMC solutions (A). The conidia of Fg and Bs were incubated with PMC (B) and TMC (C) at various concentrations between 0 and 1000 μM. Scale bar represents 50 μm (A). Germination rates in the PMC and TMC solutions were determined after a 6-h incubation for Fg and after an 8-h incubation for Bs. Data represent mean and standard deviation values obtained from three independent samples. Letters (a–e) represent significant differences at p <0.05, as measured using the Tukey- Kramer test.Published as part of Ube, Naoki, Katsuyama, Yuhka, Kariya, Keisuke, Tebayashi, Shin-ichi, Sue, Masayuki, Tohnooka, Takuji, Ueno, Kotomi, Taketa, Shin & Ishihara, Atsushi, 2021, Identification of methoxylchalcones produced in response to CuCl treatment and pathogen infection in barley, pp. 1-10 in Phytochemistry (112650) 184 on page 6, DOI: 10.1016/j.phytochem.2020.112650, http://zenodo.org/record/829232

    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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