Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
lower decrease » larger decrease (Expand Search), linear decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
lower decrease » larger decrease (Expand Search), linear decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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3301
Results of RF algorithm screening factors.
Published 2024“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
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3302
Schematic diagram of the basic principles of SVR.
Published 2024“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
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3303
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3304
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3305
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3306
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3307
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3308
Ubiquitination of PoAce1 and effect of proteasome inhibitor MG132 on PoAce1.
Published 2025Subjects: -
3309
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3310
The phenotype of the Δ<i>ace1</i> and (hemi)cellulase production of various mutants.
Published 2025Subjects: -
3311
PoAce1 enrichment in the specific regions of (hemi)cellulase genes assayed by ChIP-qPCR.
Published 2025Subjects: -
3312
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3313
Construction strategies for GFP strains Ace1/Fbx23-GFP and BiFC strain Ace1-YFP-Fbx23.
Published 2025Subjects: -
3314
Construction strategy and verification of strains Ace1/Fbx23-TAP, Δ<i>fbx23</i>, and Re<i>fbx23</i>.
Published 2025Subjects: -
3315
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3316
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3317
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3318
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3319
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3320