Showing 1 - 20 results of 109 for search '(( chain per decrease ) OR ( ai ((large decrease) OR (larger decrease)) ))', query time: 0.46s 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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    Data Sheet 1_Single radiation exposure induces gut microbiota dysbiosis and decreases short-chain fatty acid metabolism and intestinal barrier integrity in mice.docx by Mineon Park (22262260)

    Published 2025
    “…We aimed to investigate the effects of single and fractionated radiation exposures on gut microbiota diversity and short-chain fatty acid (SCFA) metabolism. Mice were exposed to a single dose (1 Gy, one exposure; dose rate: 2.6 Gy/min) or fractionated doses (1 Gy accumulated over 75 fractions, 6.7 mGy/min for 2 min per session). …”
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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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    Supply chain decision sequence. by Zhengxiang Wu (19964513)

    Published 2024
    “…Based on this, a game model of the contract farming supply chain involving a farmer and an e-commerce platform was established to explore the optimal decision-making in the contract farming supply chain considering various government subsidies under the background of e-commerce assistance to farmers. …”
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    Simultaneous Analysis of Ultrashort- to Long-Chain PFAS in Multisalinity Aquatic Systems: Methodology, Spatial Profiling, and Risk Prioritization by Wei Ma (299083)

    Published 2025
    “…Ultrashort-chain per- and polyfluoroalkyl substances (PFAS) have attracted increasing attention due to their rising concentrations and high mobility in environmental contexts, yet their incorporation into routine multianalyte workflows remains challenging. …”
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