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478 results on '"Chen, Yawen"'

4. A Comparative Study on Student Performance Prediction Using Machine Learning

Author

Chen, Yawen and Zhai, Linbo

Abstract

Accompanied with the development of storage and processing capacity of modern technology, educational data increases sharply. It is difficult for educational researchers to derive useful information from much educational data. Therefore, educational data mining techniques are important for the development of modern education field. Recently, researches have demonstrated that machine learning, as an important tool for data mining, has shown promising performance in educational applications, especially in student performance prediction. However, few studies comprehensively compare existing machine learning methods in educational data. Moreover, most current studies only focus on a single type of educational data for student performance prediction. In this paper, three different types of task-oriented educational data are employed to investigate the performance of machine learning methods in different application scenarios. Specifically, seven parameter-optimized machine learning methods are implemented to study multiple types of performance prediction, including binary and multi-classification prediction tasks. In the experimental section, four evaluation metrics and visualizations are presented for a comparative study of different methods on three tasks, and an elaborated discussion of the experimental results is provided. The experimental results demonstrate that Random Forest has achieved superior generality on all selected datasets. In addition, the performance of Decision Tree and Artificial Neural Network models on the selected datasets indicates that they are also potential candidates to solve student performance prediction tasks.

Published
2023
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50. A Novel Class I HDAC Inhibitor, AW01178, Inhibits Epithelial–Mesenchymal Transition and Metastasis of Breast Cancer.

Author

Liu, Xiangxiang, Chen, Yawen, Li, Yang, Shen, Ying, Dong, Shasha, and Tan, Jiang

Subjects
*METASTATIC breast cancer, *EPITHELIAL-mesenchymal transition, *HISTONE deacetylase inhibitors, *CADHERINS, *BREAST cancer, *PROMOTERS (Genetics)
Abstract

Epithelial–mesenchymal transition (EMT) refers to the transformation of polar epithelial cells into motile mesenchymal cells under specific physiological or pathological conditions, thus promoting the metastasis of cancer cells. Epithelial cadherin (E-cadherin) is a protein that plays an important role in the acquisition of tumor cell motility and serves as a key EMT epithelial marker. In the present study, AW01178, a small-molecule compound with potential therapeutic efficacy, was identified via in-cell Western high-throughput screening technology using E-cadherin as the target. The compound induced the upregulation of E-cadherin at both mRNA and protein levels and inhibited the EMT of breast cancer cells in vitro as well as metastasis in vivo. Mechanistically, AW01178 is a novel benzacetamide histone deacetylase inhibitor (HDACi) mainly targeting class I histone deacetylases. AW01178 promoted the transcription and expression of E-cadherin through enhancing the acetylation level of histone H3 in the E-cadherin promoter region, thereby inhibiting the metastasis of breast cancer cells. The collective findings support the potential utility of the novel HDACi compound identified in this study, AW01178, as a therapeutic drug for breast cancer and highlight its value for the future development of HDACi structures as anticancer drugs. [ABSTRACT FROM AUTHOR]

Published
2024
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