Showing 1 - 20 results of 503 for search '(( a ((latest decrease) OR (greatest decrease)) ) OR ( ai larger decrease ))', query time: 0.34s Refine Results
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    Differentially expressed genes (DEGs)<sup>a</sup> showing the greatest fold changes from each potato tissue: 10 with greatest increase in expression and 10 with greatest decrease in expression. by Margaret A. Carpenter (6104180)

    Published 2025
    “…<p>Differentially expressed genes (DEGs)<sup>a</sup> showing the greatest fold changes from each potato tissue: 10 with greatest increase in expression and 10 with greatest decrease in expression.…”
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    The correlogram. by Bingtao Su (4740009)

    Published 2025
    “…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”
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    The food consumption quantity. by Bingtao Su (4740009)

    Published 2025
    “…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”
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    Dataset. by Bingtao Su (4740009)

    Published 2025
    “…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”
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    Flow chart of sediment P fractionation procedure. by Jiayu Hu (673291)

    Published 2025
    “…The NH<sub>4</sub>Cl-Po and NaHCO<sub>3</sub>-Po concentrations in sediments showed the greatest decrease (accounting for 97.6% of total decrease) during the experiment. …”
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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. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”
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