1,730,491 research outputs found

    (Un)Changed Melodies: Meaning Generation as Variations on a Theme

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    This chapter synthesises how the Communist Party of China constructs, refines, and disseminates politically strategic narratives across genres, languages, and platforms. It stresses that, despite the stylistic variation and rhetorical adaptability observed, the underlying discursive goals—such as reinforcing legitimacy, projecting national strength, and aligning public sentiment with Party objectives—remain remarkably consistent. The chapter argues that, while China’s official media employ a variety of linguistic and rhetorical devices, this variability ultimately serves the broader purpose of discursive control. It also highlights the importance of examining these strategies in an international context, as China’s communicative practices increasingly influence global information flows. The conclusion calls for sustained scholarly attention to the mechanisms by which the Party-state manufactures meaning in ways that are both culturally specific and globally consequential

    A Return to Basics: Language as the Quintessential Building Block of Meaning Generation

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    This chapter outlines linguistic and theoretical foundations of a volume titled Meaning generation in Chinese official media discourse. Rooted in contributions to the 17th International Pragmatics Association Conference (2021), the chapter highlights the need to re-centre language in the analysis of meaning-making within China’s state media. It briefly surveys key theoretical approaches used throughout the volume—including Linguistic Pragmatics, Discourse-Historical Approach, and Conceptual Metaphor Theory—and frames the chapters as investigations into how official Chinese discourse strategically constructs meaning to reinforce state narratives. The chapter positions the volume as a linguistically grounded contribution to understanding how discourse power (话语权) is exercised through varied media forms and contexts in the People's Republic of China

    Instances for “Influence Maximization with Latency Requirements on Social Networks”

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    We provide the instances used in the paper “Influence Maximization with Latency Requirements on Social Networks”, by S. Raghavan and Rui Zhang. This repository contains the 100 instances used in the paper. All the instances used in the paper are provided in a compressed archive. The accompanying data is contained in the following file: • PIDS-PP_Instances.zip Description: There is one main folder, which contains 100 instances based on 10 real-world graphs. Each real world graph “G” is described by the file named “G_Graph.txt” which contains the edges in the graph. Nodes are labeled from 0 to n, where n is the largest number in the file. Each line provides the two end nodes of an edge. The 10 instances associated with each graph “G” are provided in the 10 files named “G_i.txt” for i in {0, 1, · · · , 9}. In each file, there are two lines. The first line contains the threshold (b) for each node. The second line contains the influence factor (f) for each node. The excel file “PIDS-PP_Results.xlsx” reports, for each instance, the upper and lower bounds obtained in the paper

    sj-docx-3-taw-10.1177_20420986231219472 – Supplemental material for Evaluation of four machine learning models for signal detection

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    Supplemental material, sj-docx-3-taw-10.1177_20420986231219472 for Evaluation of four machine learning models for signal detection by Daniel G. Dauner, Eleazar Leal, Terrence J. Adam, Rui Zhang and Joel F. Farley in Therapeutic Advances in Drug Safety</p

    sj-docx-2-taw-10.1177_20420986231219472 – Supplemental material for Evaluation of four machine learning models for signal detection

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    Supplemental material, sj-docx-2-taw-10.1177_20420986231219472 for Evaluation of four machine learning models for signal detection by Daniel G. Dauner, Eleazar Leal, Terrence J. Adam, Rui Zhang and Joel F. Farley in Therapeutic Advances in Drug Safety</p

    sj-docx-4-taw-10.1177_20420986231219472 – Supplemental material for Evaluation of four machine learning models for signal detection

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    Supplemental material, sj-docx-4-taw-10.1177_20420986231219472 for Evaluation of four machine learning models for signal detection by Daniel G. Dauner, Eleazar Leal, Terrence J. Adam, Rui Zhang and Joel F. Farley in Therapeutic Advances in Drug Safety</p

    sj-docx-1-taw-10.1177_20420986231219472 – Supplemental material for Evaluation of four machine learning models for signal detection

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    Supplemental material, sj-docx-1-taw-10.1177_20420986231219472 for Evaluation of four machine learning models for signal detection by Daniel G. Dauner, Eleazar Leal, Terrence J. Adam, Rui Zhang and Joel F. Farley in Therapeutic Advances in Drug Safety</p

    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

    Supplemental material for Oxygen therapy versus conservative therapy in suspected uncomplicated myocardial infarction without hypoxemia: A meta-analysis of randomized controlled studies

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    Supplemental material, Supplemental_material for Oxygen therapy versus conservative therapy in suspected uncomplicated myocardial infarction without hypoxemia: A meta-analysis of randomized controlled studies by Rui Zhang, Youfeng Zhu, Min Zhang, Haiyan Yin and Jianrui Wei in Hong Kong Journal of Emergency Medicine</p
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