Showing 1 - 20 results of 801 for search '(( a ((market decrease) OR (largest decrease)) ) OR ( ai ((large decrease) OR (larger decrease)) ))', query time: 0.69s Refine Results
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    Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

    Published 2025
    “…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”
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    Market structure of e-commerce platforms. by Min Zhao (66793)

    Published 2025
    “…Based on the network externality perspective, considering the duopoly e-commerce platform market, this paper uses game theory to construct a theoretical model to compare and analyze the changes in consumers, merchants, platforms, and social total welfare when the reputation information of e-commerce products is symmetric and asymmetric. …”
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    A sample choice question with a warning label. by Yulian Ding (5984591)

    Published 2024
    “…The rapid increase in SSB consumption in China necessitates robust regulations. This study employed a choice experiment to simulate the market scenario in which a text warning label was presented on SSBs. …”
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    A sample choice question without a warning label. by Yulian Ding (5984591)

    Published 2024
    “…The rapid increase in SSB consumption in China necessitates robust regulations. This study employed a choice experiment to simulate the market scenario in which a text warning label was presented on SSBs. …”
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    Laab Nuer<sup>a</sup>. <sup>a</sup> Photographed by Vivat Keawdounglek. by Vivat Keawdounglek (9710710)

    Published 2025
    “…In the upstream operation, 80 sample analyses in a fresh market using the chemical test-kits were conducted, and 31 samples of produce were collected to analyze them for Paraquat contamination. …”
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”
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