Showing 1 - 20 results of 6,116 for search '(( ai large decrease ) OR ((( a larger decrease ) OR ( _ ((laser decrease) OR (mean decrease)) ))))', query time: 0.51s Refine Results
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    HSF2 reduced the decrease in the MMP in Caco-2 cells, which were observed by laser confocal microscopy. by Wen Wang (6570)

    Published 2025
    “…All the data in this study was presented as mean ± SEM.</p>…”
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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

    Published 2025
    “…Parameter values: interaction strengths were drawn from a half-normal distribution of zero mean and a standard deviation of 0.2, and strength for consumers was made no larger than the strength for resources. …”
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    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…With amplitude scaling the mean population activity was kept the same by scaling down the response amplitude for larger population (blue curve). …”
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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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    CM-DWM-EC chart using 30% decrease in the mean for the E(KeV). by Shumaila Nisar (20114256)

    Published 2024
    “…<p>CM-DWM-EC chart using 30% decrease in the mean for the E(KeV).</p>…”
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    <b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

    Published 2025
    “…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…However, this model can be time-consuming and can only represent a single vessel track. 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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