Akt3 null animals have reduced Aurora B expression and proliferation and increased apoptosis. by Zachary J. Hough (20840430)

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Mitotic catastrophe is dependent on CRM-1 dysregulation. by Zachary J. Hough (20840430)

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Morphometric analysis of wild type and Akt3 null hearts. by Zachary J. Hough (20840430)

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WDR12 associates with Aurora B. by Zachary J. Hough (20840430)

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Model of the role of increased ROS in chromosome missegregation. by Zachary J. Hough (20840430)

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ROS reduces the expression of Akt3, WDR12 and Aurora B leading to micronuclei. by Zachary J. Hough (20840430)

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Akt3 controls the expression of WDR12, a chromosome binding protein. by Zachary J. Hough (20840430)

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Comparison of multilevel social-ecological indicators between intervention groups at baseline and post-test using chi-square test. by Moazzam Tanveer (20775814)

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Physical and chemical characteristics of tested soil in autumn 2022. by Xiaona Lyu (20871872)

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Open field test (total distance traveled) in mice infected with ME49 and ME49∆<i>bfd2 T. gondii</i> in the chronic stage. by Xiaocheng Zhang (3140460)

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Open field test (total distance traveled) in mice infected with ME49 and ME49∆<i>bfd2 T. gondii</i> in the acute stage. by Xiaocheng Zhang (3140460)

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Probability of Cost-Effectiveness Across CET. by Yiping An (20609789)

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Base-case analysis. by Yiping An (20609789)

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Cost-effectiveness acceptability curve. by Yiping An (20609789)

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Markov model. by Yiping An (20609789)

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Incremental cost-effectiveness scatter plot. by Yiping An (20609789)

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One-way sensitivity analysis. by Yiping An (20609789)

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ICER changes with time horizon. by Yiping An (20609789)

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Internal structure of an LSTM cell. by Xiangjuan Liu (618000)

“…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). …”

Prediction effect of each model after STL. by Xiangjuan Liu (618000)

“…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). …”