Showing 41 - 60 results of 21,726 for search '(((( ai large increases ) OR ( second ((a decrease) OR (nn decrease)) ))) OR ( g large increases ))', query time: 0.94s Refine Results
  1. 41

    AI augmentation in evidence synthesis workflows. by Alaa Al Khourdajie (13843729)

    Published 2025
    “…This essay provides a clear path for the responsible, expert-led integration of AI, ensuring it serves to augment, not replace, human expertise.…”
  2. 42

    AI explanation chart. by Niusha Shafiabady (14774119)

    Published 2024
    “…AI empowers organisations by analysing large data sets quickly and accurately, enabling faster decision-making and building agility and resilience. …”
  3. 43

    Strengthening assessment integrity in the era of generative AI: evidence from a large-scale study by Liz Hardie (22277602)

    Published 2025
    “…This large-scale empirical study at a UK university, based on 590 student and 354 AI-generated answers, provides evidence on markers’ ability to detect the GenAI scripts and whether some assessment types are more robust than others against GenAI misuse. …”
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    DALY and HLY in Portugal, 1990–2019. The first graph shows a decreasing trend of DALY and the second graph shows an increasing trend of HLY. by Aida Isabel Tavares (12080156)

    Published 2025
    “…<p>DALY and HLY in Portugal, 1990–2019. The first graph shows a decreasing trend of DALY and the second graph shows an increasing trend of HLY.…”
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    Identify Survived Key Features and Relevant Mechanisms for Designing High-Entropy Carbides via AI or Machine Learning by Dong Zhang (73558)

    Published 2025
    “…Multielement high-entropy carbides (HECs) provide many opportunities for HECs to obtain optimal combinations of various properties, e.g., high strength and high flexibility, leading to high toughness. …”
  18. 58

    Supplementary Materials - Deficient Executive Control in Transformer Attention by Suketu Patel (17748162)

    Published 2025
    “…Our results revealed a typical conflict effect of better performance in terms of accuracy in the congruent condition (e.g., naming the ink color of the word RED) compared to incongruent condition (e.g., naming the ink color of the word RED), which is similar to human performance, in short sequences. …”
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