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    Visualizing leadership classifications in rectangular data using a basket model and co-word network analysis: a case study of U.S. HCAHPS survey results by Tsair-Wei Chien, Willy Chou

    Published 2025-08-01
    “…Using publicly available 2023 HCAHPS survey data from 52 U.S. states and territories, we applied a follower-leader clustering algorithm (FLCA) implemented in R. Leadership was classified into three types: absolute, relative, and no advantage. …”
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    THE ROLE OF ARTIFICIAL INTELLIGENCE IN ECONOMIC TRANSFORMATION: FROM AUTOMATION TO THE DATA ECONOMY by Viktoriia Mykytas

    Published 2025-06-01
    “…However, it also raises profound concerns related to job displacement, unequal access to retraining, data privacy, and algorithmic transparency. The development of human capital through lifelong learning, digital upskilling, and educational reform is identified as a core component of economic resilience in the AI era. …”
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    BRIDGING PROFESSIONAL IDENTITY AND DIGITAL PLATFORMS: A COMPREHENSIVE STUDY OF SELF-MARKETING AND CAREER DEVELOPMENT by Aram Qadir, Jacek Binda

    Published 2025-02-01
    “…This empirical investigation provides a foundation for further analysis with an expanded sample and the exploration of the algorithmic effects of digital platforms on content visibility. …”
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    A Decentralized Multi-Venue Real-Time Video Broadcasting System Integrating Chain Topology and Intelligent Self-Healing Mechanisms by Tianpei Guo, Ziwen Song, Haotian Xin, Guoyang Liu

    Published 2025-07-01
    “…The rapid growth in large-scale distributed video conferencing, remote education, and real-time broadcasting poses significant challenges to traditional centralized streaming systems, particularly regarding scalability, cost, and reliability under high concurrency. …”
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    Continuous Sign Language Recognition With Multi-Scale Spatial-Temporal Feature Enhancement by Zhen Wang, Dongyuan Li, Renhe Jiang, Manabu Okumura

    Published 2025-01-01
    “…Firstly, for better continuous frame information exploration, based on the optimal transport algorithm, we first propose a spatial resonance module, which is used to extract the global common spatial features of two adjacent frames along the frame sequence. …”
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    A discussion of S.M. Krylov’s book «Neocybernetics» (2008) by E. S. Gornev, I. V. Matyushkin

    Published 2021-12-01
    “…Despite the abstractness of the algebraic-algorithmic approach, Krylov offers a number of specific constructions that are in demand during the fourth industrial revolution and for the future development of industrial technology in nanoelectronics and biotechnology. …”
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