A revised classification of Dryopteridaceae based on plastome phylogenomics and morphological evidence, with the description of a new genus, Pseudarachniodes by Zheng-Yu Zuo, Germinal Rouhan, Shi-Yong Dong, Hong-Mei Liu, Xin-Yu Du, Li-Bing Zhang, Jin-Mei Lu

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Efficient recognition of Parkinson’s disease mice on stepping characters with CNN by Yunsong Luo, Yiqi Huang, Guangzhan Fang, Ningping Tan, Yezhong Tang

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Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

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PHRASEOLOGICAL EXPRESSIONS WITH THE COMPONENT ‘SHOES’ IN THE LINGUOCULTURAL PICTURE OF THE CHINESE WORLD by Ma Guangdong

“…The purpose of the study is to identify the unique value of phraseological expressions with the component “shoes” in portraying characters, containing philosophical wisdom, reflecting social customs and history through systematic analysis and classification. …”
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A multigene phylogeny toward a new phylogenetic classification of Leotiomycetes by Peter R. Johnston, Luis Quijada, Christopher A. Smith, Hans-Otto Baral, Tsuyoshi Hosoya, Christiane Baschien, Kadri Pärtel, Wen-Ying Zhuang, Danny Haelewaters, Duckchul Park, Steffen Carl, Francesc López-Giráldez, Zheng Wang, Jeffrey P. Townsend

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DC-BiLSTM-CNN Algorithm for Sentiment Analysis of Chinese Product Reviews by Yuanfang Dong, Xiaofei Li, Meiling He, Jun Li

“…The sheer volume and complexity of product reviews make manual sorting challenging, necessitating businesses to autonomously process and discern customer sentiments. Chinese, a predominant language on e-commerce platforms, presents unique challenges in sentiment analysis due to its character-based nature. …”
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A deep learning‐based attack on text CAPTCHAs by using object detection techniques by Jiawei Nian, Ping Wang, Haichang Gao, Xiaoyan Guo

“…The attack was also evaluated on four click‐based CAPTCHAs that cannot be attacked in the end‐to‐end manner used by previous attacks, and the results demonstrated that within one step, the proposed approach achieves high success rates on both click‐based CAPTCHAs and schemes based on large‐scale character sets, such as Chinese character sets.…”
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Research on Word Vector Training Method Based on Improved Skip-Gram Algorithm by Yachun Tang

“…In the training process, the random gradient descent method is used to solve the vector representation of each word and each Chinese character. The proposed training method is compared with skip gram, CWE+P, and SEING by using word sense similarity task and text classification task in the experiment. …”
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New insights into the phylogeny and infrageneric taxonomy of Saussurea based on hybrid capture phylogenomics (Hyb-Seq) by Liansheng Xu, Zhuqiu Song, Tian Li, Zichao Jin, Buyun Zhang, Siyi Du, Shuyuan Liao, Xingjie Zhong, Yousheng Chen

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