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Your search keyword '"Yan, Xingzhi"' showing total 3 results
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3 results on '"Yan, Xingzhi"'

1. Natural Language Processing Using Neighbour Entropy-based Segmentation

Author

Qiao, Jianfeng, Yan, Xingzhi, and Lv, Shuran

Subjects
Text Mining, Text Segmentation, Chinese Word Segmentation, Safety Management, Hazard Analysis, General Computer Science
Abstract

In natural language processing (NLP) of Chinese hazard text collected in the process of hazard identification, Chinese word segmentation (CWS) is the first step to extracting meaningful information from such semi-structured Chinese texts. This paper proposes a new neighbor entropy-based segmentation (NES) model for CWS. The model considers the segmentation benefits of neighbor entropies, adopting the concept of "neighbor" in optimization research. It is defined by the benefit ratio of text segmentation, including benefits and losses of combining the segmentation unit with more information than other popular statistical models. In the experiments performed, together with the maximum-based segmentation algorithm, the NES model achieves a 99.3% precision, 98.7% recall, and 99.0% f-measure for text segmentation; these performances are higher than those of existing tools based on other seven popular statistical models. Results show that the NES model is a valid CWS, especially for text segmentation requirements necessitating longer-sized characters. The text corpus used comes from the Beijing Municipal Administration of Work Safety, which was recorded in the fourth quarter of 2018.

Published
2022
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2. Natural Language Processing Using Neighbour Entropy-based Segmentation

Author

Qiao, Jianfeng, Yan, Xingzhi, Lv, Shuran, Qiao, Jianfeng, Yan, Xingzhi, and Lv, Shuran

Abstract

In natural language processing (NLP) of Chinese hazard text collected in the process of hazard identification, Chinese word segmentation (CWS) is the first step to extracting meaningful information from such semi-structured Chinese texts. This paper proposes a new neighbor entropy-based segmentation (NES) model for CWS. The model considers the segmentation benefits of neighbor entropies, adopting the concept of "neighbor" in optimization research. It is defined by the benefit ratio of text segmentation, including benefits and losses of combining the segmentation unit with more information than other popular statistical models. In the experiments performed, together with the maximum-based segmentation algorithm, the NES model achieves a 99.3% precision, 98.7% recall, and 99.0% f-measure for text segmentation; these performances are higher than those of existing tools based on other seven popular statistical models. Results show that the NES model is a valid CWS, especially for text segmentation requirements necessitating longer-sized characters. The text corpus used comes from the Beijing Municipal Administration of Work Safety, which was recorded in the fourth quarter of 2018.

Published
2021

3. Optineurin Cooperates With NRF2 to Regulate Tooth Root Morphogenesis by Controlling Mitochondrial Dynamics and Apoptosis.

Author

Liu, Haojie, Zhang, Xinyu, Ge, Xiao, Hsu, ChingCho, Wang, Yan, Chen, Simai, Yan, Xingzhi, Xu, Rongyao, Ma, Junqing, and Guo, Shuyu

Subjects
*OSTEITIS deformans, *DENTITION, *MITOCHONDRIAL dynamics, *TOOTH roots, *ROOT development
Abstract

ABSTRACT Tooth root development is a complex process essential for tooth function, yet the role of root dentin development in tooth morphogenesis is not fully understood. Optineurin (OPTN), linked to bone disorders like Paget's disease of bone (PDB), may affect tooth root development. In this study, we used single‐cell sequencing of embryonic day 16.5 (E16.5), postnatal day 1 (P1), and P7 mouse teeth, as well as embryonic and adult human teeth, to show that OPTN is vital for odontoblastic differentiation. In Optn−/− mice, we observed short root deformities and defective dentin, with impaired apical papilla differentiation and increased apoptosis. In vitro OPTN downregulation in stem cells of the apical papilla (SCAPs) exacerbated apoptosis and hindered odontoblastic differentiation. RNA‐seq analysis revealed significant differences in mitochondrial dynamics between control and OPTN knockout SCAPs. We discovered that OPTN influences mitochondrial dynamics primarily by promoting fission, leading to odontoblastic differentiation and mineralisation. Mechanistically, OPTN cooperates with NRF2 to regulate mitochondrial fission via DRP1 phosphorylation and affects the transcription of BCL2. Rescue experiments using an activator of NRF2 in ex vivo organ cultures and local gingival injection experiments confirmed these findings. Therefore, we concluded that OPTN, interacting with NRF2, acts as a key regulator of SCAPs mitochondrial dynamics, mineralisation and apoptosis during tooth development. These findings provide fresh insights into the mechanisms underlying tooth root development. [ABSTRACT FROM AUTHOR]

Published
2025
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