بدائل البحث:
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
teer decrease » mean decrease (توسيع البحث), greater decrease (توسيع البحث)
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
teer decrease » mean decrease (توسيع البحث), greater decrease (توسيع البحث)
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2781
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2782
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2783
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2784
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2785
Composition of the gut microbiota at the genus level following the administration of MP.
منشور في 2025الموضوعات: -
2786
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2787
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2788
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2789
Activity of xylanase in mixed feed and liver (mg saccharide/g sample/h), n = 12/treatment.
منشور في 2024الموضوعات: -
2790
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2791
Composition of the gut microbiota at the phylum level following the administration of MP.
منشور في 2025الموضوعات: -
2792
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2793
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2794
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2795
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2796
Example of sample data.
منشور في 2025"…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …"
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2797
Structure of BPNN.
منشور في 2025"…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …"
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2798
The workflow of EGA-BPNN.
منشور في 2025"…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …"
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2799
S1 Data -
منشور في 2025"…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …"
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2800
Algorithm flow of the GA-BPNN model.
منشور في 2025"…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …"