Showing 1 - 20 results of 1,379 for search '(( learning ((na decrease) OR (a decrease)) ) OR ( ct ((largest decrease) OR (marked decrease)) ))', query time: 0.51s Refine Results
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    Learn!Bio study: Grouping of Participants. by Katy Andrews (22311170)

    Published 2025
    “…This study aimed to evaluate bioscience students’ ability to adjust to a fast-evolving learning environment and to capture students’ journey building up resilience and graduate attributes. …”
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    Image 1_Effects of m6A methylation of MAT2A mRNA regulated by METTL16 on learning and memory, hippocampal synaptic plasticity and Aβ1–42 in 5 × FAD mice.jpeg by Huan Chen (6545)

    Published 2025
    “…Overexpression of METTL16 led to an increase in overall m<sup>6</sup>A methylation levels, furthermore, overexpression of either METTL16 or MAT2A enhanced learning and memory in 5 × FAD mice, elevated the expression levels of postsynaptic density 95 (PSD95) and synaptophysin (Syp), increased dendritic spine density, and decreased the accumulation of Aβ<sub>1–42</sub> in the hippocampus. …”
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    Image 2_Effects of m6A methylation of MAT2A mRNA regulated by METTL16 on learning and memory, hippocampal synaptic plasticity and Aβ1–42 in 5 × FAD mice.jpg by Huan Chen (6545)

    Published 2025
    “…Overexpression of METTL16 led to an increase in overall m<sup>6</sup>A methylation levels, furthermore, overexpression of either METTL16 or MAT2A enhanced learning and memory in 5 × FAD mice, elevated the expression levels of postsynaptic density 95 (PSD95) and synaptophysin (Syp), increased dendritic spine density, and decreased the accumulation of Aβ<sub>1–42</sub> in the hippocampus. …”
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    Structure of a trial. by Marcel F. Hinss (14675457)

    Published 2024
    “…The results indicate that similarity between tasks substantially impacts performance with different effects on RT and accuracy. While learning effects may have negated the impact of mental fatigue across the 5 experimental blocks, a significant decrease in performance was observed within blocks. …”
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    Assessment values of machine learning models. by Bin Pan (742525)

    Published 2025
    “…Additionally, the model’s generalization ability is verified through transfer learning. Although the performance of the StackBoost model decreases when applied to different datasets, it still shows considerable transferability, making it a more generalizable prediction model for aqueous solubility.…”
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