بدائل البحث:
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
greatest decrease » treatment decreased (توسيع البحث), greater increase (توسيع البحث)
test decrease » teer decrease (توسيع البحث), cost decreased (توسيع البحث), mean decrease (توسيع البحث)
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
greatest decrease » treatment decreased (توسيع البحث), greater increase (توسيع البحث)
test decrease » teer decrease (توسيع البحث), cost decreased (توسيع البحث), mean decrease (توسيع البحث)
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1101
Akt3 null animals have reduced Aurora B expression and proliferation and increased apoptosis.
منشور في 2025الموضوعات: -
1102
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1103
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1104
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1105
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1106
ROS reduces the expression of Akt3, WDR12 and Aurora B leading to micronuclei.
منشور في 2025الموضوعات: -
1107
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1108
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1109
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1110
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1111
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1112
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1113
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1114
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1115
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1116
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1117
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1118
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1119
Internal structure of an LSTM cell.
منشور في 2025"…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …"
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1120
Prediction effect of each model after STL.
منشور في 2025"…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …"