Showing 1 - 20 results of 713 for search '(( pair 1 decrease ) OR ( ai ((large decrease) OR (((larger decrease) OR (marked decrease)))) ))', query time: 0.72s 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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    Dynamic Tracking of <i>In Vivo</i> Receptor Availability in Tumor Using Paired-Agent Imaging by Yichen Feng (450964)

    Published 2025
    “…Nonquantifiable increases in ABY-029 fluorescence in tumor and muscle were observed after <i>in vivo</i> blocking, while PAI produced the expected decrease in RA. …”
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    Dynamic Tracking of <i>In Vivo</i> Receptor Availability in Tumor Using Paired-Agent Imaging by Yichen Feng (450964)

    Published 2025
    “…Nonquantifiable increases in ABY-029 fluorescence in tumor and muscle were observed after <i>in vivo</i> blocking, while PAI produced the expected decrease in RA. …”
  4. 4

    Dynamic Tracking of <i>In Vivo</i> Receptor Availability in Tumor Using Paired-Agent Imaging by Yichen Feng (450964)

    Published 2025
    “…Nonquantifiable increases in ABY-029 fluorescence in tumor and muscle were observed after <i>in vivo</i> blocking, while PAI produced the expected decrease in RA. …”
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    Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

    Published 2025
    “…CVLT-II ICC = 0.992; SDMT ICC = 1.000; BVMT-R ICC = 0.822–853), with minimal scoring discrepancies per test (CVLT = 1.05, SDMT = 0.05, BVMT-<i>R</i> = 1.05–1.19). …”
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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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