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165 results on '"Lu, Weizhong"'

4. Study on Path Planning of Multi-storey Parking Lot Based on Combined Loss Function

Author

Hu, Zhongtian, Yan, Jun, Wang, Yuli, Yang, Changsong, Fu, Qiming, Lu, Weizhong, Wu, Hongjie, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, Jing, Junfeng, editor, Premaratne, Prashan, editor, Bevilacqua, Vitoantonio, editor, and Hussain, Abir, editor

Published
2022
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5. Study on English Translation of Chinese Quantifiers from the Perspective of Cognitive Iconicity: A Pilot Study

Author

Liu Ying and Lu Weizhong

Subjects
Social Sciences
Abstract

Chinese quantifiers are heavily loaded with Chinese culture, making it challenging to translate them into idiomatic English. The majority of earlier studies only examined linguistically the English translations of Chinese quantifiers. The interpretation of linguistic information, however, is a developing and pivotal stage of cognition in the translation process. Under the umbrella of cognitive iconicity, the research of cognitive distance between linguistic forms is being conducted. Therefore, it makes sense to talk about cognitive iconicity while discussing the English translation of Chinese nominal quantifiers. Based on the definition as well as the function of Chinese quantifiers, this research summarized four translation methods from a viewpoint of individual nominal quantifiers, namely, the omission of iconicity, the retention of iconicity, the conversion of iconicity, and the addition of iconicity. And then it further discussed the selection process of English translation version of Chinese nominal quantifiers.

Published
2024
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6. Membrane Protein Identification via Multiple Kernel Fuzzy SVM

Author

Lu, Weizhong, Shen, Jiawei, Qian, Yuqing, Wu, Hongjie, Ding, Yijie, Chen, Xiaoyi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, Li, Jianqiang, editor, Gribova, Valeriya, editor, and Premaratne, Prashan, editor

Published
2021
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7. DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion

Author

Guan, Shixuan, Jiang, Tengsheng, Lu, Weizhong, Fu, Qiming, Li, Haiou, Wu, Hongjie, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, Li, Jianqiang, editor, Gribova, Valeriya, editor, and Premaratne, Prashan, editor

Published
2021
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8. Research on RNA Secondary Structure Prediction Based on MLP

Author

Lu, Weizhong, Chen, Xiaoyi, Zhang, Yu, Wu, Hongjie, Shen, Jiawei, Zhou, Nan, Ding, Yijie, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, Li, Jianqiang, editor, Gribova, Valeriya, editor, and Premaratne, Prashan, editor

Published
2021
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9. Super-Large Medical Image Storage and Display Technology Based on Concentrated Points of Interest

Author

Yan, Jun, Wang, Yuli, Li, Haiou, Lu, Weizhong, Wu, Hongjie, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, Li, Jianqiang, editor, Gribova, Valeriya, editor, and Bevilacqua, Vitoantonio, editor

Published
2021
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10. Prediction of Membrane Protein Interaction Based on Deep Residual Learning

Author

Jiang, Tengsheng, Wu, Hongjie, Chen, Yuhui, Li, Haiou, Qiu, Jin, Lu, Weizhong, Fu, Qiming, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, and Jo, Kang-Hyun, editor

Published
2020
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12. Research on RNA Secondary Structure Prediction Based on Decision Tree

Author

Lu, Weizhong, Cao, Yan, Wu, Hongjie, Huang, Hongmei, Ding, Yijie, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, and Huang, Zhi-Kai, editor

Published
2019
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13. A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information

Author

Lu, Weizhong, Song, Zhengwei, Ding, Yijie, Wu, Hongjie, Huang, Hongmei, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, and Huang, Zhi-Kai, editor

Published
2019
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14. Knowledge Based Helix Angle and Residue Distance Restraint Free Energy Terms of GPCRs

Author

Ling, Huajing, Wu, Hongjie, Han, Jiayan, Ding, Jiwen, Lu, Weizhong, Fu, Qiming, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, and Huang, Zhi-Kai, editor

Published
2019
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15. Optimizing GPCR Two-Dimensional Topology from Contact Map

Author

Wu, Hongjie, Dai, Dadong, Shen, Huaxiang, Yang, Ru, Lu, Weizhong, Fu, Qiming, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Huang, De-Shuang, editor, Gromiha, M. Michael, editor, Han, Kyungsook, editor, and Hussain, Abir, editor

Published
2018
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16. RNA Secondary Structure Prediction Based on Long Short-Term Memory Model

Author

Wu, Hongjie, Tang, Ye, Lu, Weizhong, Chen, Cheng, Huang, Hongmei, Fu, Qiming, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Huang, De-Shuang, editor, Bevilacqua, Vitoantonio, editor, Premaratne, Prashan, editor, and Gupta, Phalguni, editor

Published
2018
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27. Kinesitherapy for Knee Osteoarthritis Patients Physical and Psychological Health Based on "Traditional Chinese Exercise" Management Modalities: A Systematic Review and Meta‐Analysis of Randomized Controlled Trials.

Author

Tan, Biao, Yan, Yan, Zhou, Qiujun, Ran, Qiang, Chen, Hong, Sun, Shiyi, Lu, Weizhong, Chen, Weiheng, and Wang, Jiajun

Subjects
TAI chi, KNEE osteoarthritis, RANDOMIZED controlled trials, MECHANOTHERAPY, SCIENCE periodicals, BECK Depression Inventory
Abstract

Traditional Chinese exercise ("TCE" management modalities), including but not limited to Tai Chi, Baduanjin, and Yijinjing, has a good effect on improving the physical function of patients with knee osteoarthritis, but less attention has been paid to the impact on the psychological health of patients, and currently there is insufficient evidence to support it. We conducted this study to provide a systematic synthesis of best evidence regarding the physical and mental health of patients with knee osteoarthritis treated by traditional Chinese exercise. Literature on the effectiveness of traditional Chinese exercise (Tai Chi, Baduanjin, Yijinjing, Qigong, etc.) versus conventional therapy (muscle‐strength training of the lower extremity and aerobic training, wellness education, quadriceps strengthening exercises, etc.) on Western Ontario and McMaster Universities Arthritis Index (WOMAC), visual analog scale (VAS), Short Form‐36 (SF‐36), Timed Up and Go Test (TUG), and Berg Balance Scale (BBS) in knee osteoarthritis (KOA) from Pubmed, Web of Science, Ovid Technologies, China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), Wanfang Database, and SinoMed were collected from their inception to April 2022. Thirty‐three studies with 2621 cases were included in this study. The study's results indicated that compared with conventional therapy, traditional Chinese exercise had more advantages on patients' WOMAC score, significantly reducing patients' overall WOMAC score (SMD = −0.99; 95% CI: −1.38, −0.60; p < 0.00001) and relieving pain (SMD = −0.76; 95% CI: −1.11, −0.40; p < 0.0001) in patients with KOA. It also has advantages over conventional therapy in improving mental component score (MCS) (SMD = 0.32; 95% CI: −0.00, 0.65; p = 0.05) and physical component score (PCS) (SMD = 0.34; 95% CI: 0.05, 0.62; p = 0.02). Compared with conventional therapy, traditional Chinese exercise can significantly reduce the effect on timed up and go test (TUG) score (SMD = −0.30; 95% CI: −0.50, −0.11; p = 0.002), beck depression inventory (DBI) score (SMD = −0.62; 95% CI: −1.03, −0.22; p = 0.002), and increase the impact on Berg Balance Scale (BBS) score (SMD = 0.60; 95% CI: 0.37, 0.83; p < 0.00001). The findings of this study indicated that traditional Chinese exercise improved body function and mental health in patients with knee osteoarthritis significantly. More high‐quality clinical evidence‐based data was needed to confirm the therapeutic effect of traditional Chinese exercise on the physical and mental health in KOA patients. [ABSTRACT FROM AUTHOR]

Published
2024
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31. CRF-TM: A Conditional Random Field Method for Predicting Transmembrane Topology

Author

Lu, Weizhong, Fu, Baochuan, Wu, Hongjie, Lü, Qiang, Wang, Kun, Jiang, Min, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, He, Xiaofei, editor, Gao, Xinbo, editor, Zhang, Yanning, editor, Zhou, Zhi-Hua, editor, Liu, Zhi-Yong, editor, Fu, Baochuan, editor, Hu, Fuyuan, editor, and Zhang, Zhancheng, editor

Published
2015
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32. Predicting Helix Boundaries of α-Helix Transmembrane Protein with Feedback Conditional Random Fields

Author

Wang, Kun, Wu, Hongjie, Lu, Weizhong, Fu, Baochuan, Lü, Qiang, Huang, Xu, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Huang, De-Shuang, editor, Bevilacqua, Vitoantonio, editor, and Premaratne, Prashan, editor

Published
2015
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38. Identification of membrane protein types via deep residual hypergraph neural network.

Author

Shen, Jiyun, Xia, Yiyi, Lu, Yiming, Lu, Weizhong, Qian, Meiling, Wu, Hongjie, Fu, Qiming, and Chen, Jing

Subjects
MEMBRANE proteins, HYPERGRAPHS, ARTIFICIAL neural networks, CELL proliferation, CELL differentiation
Abstract

A membrane protein's functions are significantly associated with its type, so it is crucial to identify the types of membrane proteins. Conventional computational methods for identifying the species of membrane proteins tend to ignore two issues: High-order correlation among membrane proteins and the scenarios of multi-modal representations of membrane proteins, which leads to information loss. To tackle those two issues, we proposed a deep residual hypergraph neural network (DRHGNN), which enhances the hypergraph neural network (HGNN) with initial residual and identity mapping in this paper. We carried out extensive experiments on four benchmark datasets of membrane proteins. In the meantime, we compared the DRHGNN with recently developed advanced methods. Experimental results showed the better performance of DRHGNN on the membrane protein classification task on four datasets. Experiments also showed that DRHGNN can handle the over-smoothing issue with the increase of the number of model layers compared with HGNN. The code is available at https://github.com/yunfighting/Identification-of-Membrane-Protein-Types-via-deep-residual-hypergraph-neural-network. [ABSTRACT FROM AUTHOR]

Published
2023
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