Showing 1 - 20 results of 51,368 for search '(((( _ linear decrease ) OR ( ((i large) OR (ai large)) decrease ))) OR ( a large increase ))', query time: 1.92s Refine Results
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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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    In superadditive networks, more enhancers decrease noise and fidelity. by Alvaro Fletcher (15675430)

    Published 2023
    “…<p>(A) Superadditivity is implemented in our model by linearly increasing <i>k</i><sub>on</sub> rates and linearly decreasing <i>k</i><sub>off</sub> rates. …”
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    Brief Report: Increased technology use associated with lower A1C in a large pediatric clinical population by G. Todd Alonso (9568724)

    Published 2023
    “…Glycemic control was compared using linear mixed effects models adjusting for age, diabetes duration, and race/ethnicity. …”
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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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    Studies exploring a relationship between <i>Shigella</i> infection and decreased linear growth/stunting or growth measures in young children and other relevant outcomes. by Karoun H. Bagamian (8911211)

    Published 2023
    “…<p>Studies exploring a relationship between <i>Shigella</i> infection and decreased linear growth/stunting or growth measures in young children and other relevant outcomes.…”
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    Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

    Published 2024
    “…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”
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    Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics by Xian Ding (421647)

    Published 2022
    “…More importantly, Norm ISWSVR also allows a low frequency of QCs, which could significantly decrease the burden of a large-scale experiment. …”
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