1,732,661 research outputs found
Ceremony - Jun Chen, Qi Chen, Shaoping Chen
No full textGraduates Jun Chen, Qi Chen, and Shaoping Chen receive their hoods.https://scholarship.kentlaw.iit.edu/commencement_2013/1097/thumbnail.jp
An Analysis of Assertive Speech Act Used by Dr. Jun Chen Hsieh in English Interpretation for Tour Guide Virtual Exchange Course at Asia University
Full text linkThis study aims to analyze assertive speech acts used by Dr. Jun Chen Hsieh during the teaching and learning process of exchange students. This study uses the theory of Searle and Vanderveken (1985:182-192) which explains the types of assertive speech acts. Qualitative descriptive is the method used in conducting this research, with data analysis techniques. The aims of this research are 1) to identify the dominant types of assertive speech acts used by Dr. Jun Chen Hsieh 2) To find out what the intended meaning is found in Dr. Jun Chen Hsieh. The findings show that there are 12 types and 153 utterances. Stating 60 times (39.21%), asserting 23 times (15.03%), reporting 22 times (14.37%), suggesting (9.80%), claiming 8 times (5.22%), concluding 7 times (4.57%), assuring 5 times (3.26%), confessing 5 times (3.26%), praising 4 times (2.61%), guessing 2 times (1.30 %). %), criticizing 1 time (0.65%), reminding 1 time (0.65%). Stating is the most dominant used by Dr. Jun Chen Hsieh during the teaching and learning process, stating can be the core of source information especially for the unfamiliar course and out of major course in the class. Stating be a way to intercultural students to get more information because it is possible to convey information clearly and effectively because it acts as a provider of information and explanations to students so that the use of stating can help students to enrich their knowledge as well as understand the message conveyed easily and does not lead to wrong interpretations. Then, the intended meaning found in these utterances is about grading policies, technical issues and roll call codes. This intended meaning funstions as take action behind the utterance, which is students should concern and comprehent to do something behind the utterance.
Keywords: Pragmatics, Speech Acts, Assertiv
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
Supplementary_data_(2) – Supplemental material for LncRNA SNHG3 promotes cell growth by sponging miR-196a-5p and indicates the poor survival in osteosarcoma
No full textSupplemental material, Supplementary_data_(2) for LncRNA SNHG3 promotes cell growth by sponging miR-196a-5p and indicates the poor survival in osteosarcoma by Jun Chen, Zhouyi Wu and Yong Zhang in International Journal of Immunopathology and Pharmacology</p
Supplementary_Figure_S1_(1) – Supplemental material for LncRNA SNHG3 promotes cell growth by sponging miR-196a-5p and indicates the poor survival in osteosarcoma
No full textSupplemental material, Supplementary_Figure_S1_(1) for LncRNA SNHG3 promotes cell growth by sponging miR-196a-5p and indicates the poor survival in osteosarcoma by Jun Chen, Zhouyi Wu and Yong Zhang in International Journal of Immunopathology and Pharmacology</p
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
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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