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468 results on '"Lin, Xiaoli"'

1. Knowledge Completion Method Based on Relational Embedding with GNN

Author

Chen, Yu, Yin, Zhuang, Tan, Honghong, Lin, Xiaoli, Goos, Gerhard, Series 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, Chen, Wei, editor, and Zhang, Qinhu, editor

Published
2024
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3. Drug-Target Interaction Prediction Based on Multi-path Graph Convolution and Graph-Level Attention Mechanism

Author

Liu, Weiwenzheng, Zhang, Xiaolong, Lin, Xiaoli, Hu, Jing, Goos, Gerhard, Series 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, Pan, Yijie, editor, and Zhang, Qinhu, editor

Published
2024
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4. Drug Molecule Generation Method Based on Fusion of Protein Sequence Features

Author

Wang, Mengyao, Zhang, Xiaolong, Liu, Haoran, Lin, Xiaoli, Hu, Jing, Pang, Jun, Goos, Gerhard, Series 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, Pan, Yijie, editor, and Zhang, Qinhu, editor

Published
2024
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5. An Optimization Method for Drug Design Based on Molecular Features

Author

Liu, Xuan, Lin, Xiaoli, Zhou, Fengli, Goos, Gerhard, Series 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, Zhang, Qinhu, editor, and Guo, Jiayang, editor

Published
2024
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11. Holonomic Bessel modules and generating functions

Author

Chiang, Yik Man, Ching, Avery, and Lin, Xiaoli

Subjects
Mathematics - Classical Analysis and ODEs, Primary 32S40, 33E99, 30D10, Secondary 47B37, 47B47, 12H05, 12H10, 13N10
Abstract

We have solved a number of holonomic PDEs derived from the Bessel modules which are related to the generating functions of classical Bessel functions and the difference Bessel functions recently discovered by Bohner and Cuchta. This $D$-module approach both unifies and extends generating functions of the classical and the difference Bessel functions. It shows that the algebraic structures of the Bessel modules and related modules determine the possible formats of Bessel's generating functions studied in this article. As a consequence of these $D$-modules structures, a number of new recursion formulae, integral representations and new difference Bessel polynomials have been discovered. The key ingredients of our argument involve new transmutation formulae related to the Bessel modules and the construction of $D$-linear maps between different appropriately constructed submodules. This work can be viewed as $D$-module approach to Truesdell's $F$-equation theory specialised to Bessel functions. The framework presented in this article can be applied to other special functions., Comment: 97 pages including one blank page

Published
2023

14. Link Prediction in Knowledge Hypergraph Combining Attention and Convolution Network

Author

PANG Jun, XU Hao, QIN Hongchao, LIN Xiaoli, LIU Xiaoqi, WANG Guoren

Subjects
knowledge hypergraph, link prediction, embedding model, attention mechanism, Electronic computers. Computer science, QA75.5-76.95
Abstract

Knowledge hypergraphs (KHG) are knowledge graph of hypergraph structure. KHG link prediction aims to predict the missing relations through the known entities and relations. However, HypE, the existing optimal KHG link prediction method based on embedding model considers the location information when embedding entities, but ignores the differences in the contributions of different entities when embedding relations. And the information of the entity convolution vector is insufficient. Relation embeddings consider the entity contribution and supply the information of entity embedding, which can greatly improve the prediction ability of model. Therefore, link prediction based on attention and convolution network (LPACN) is proposed. The improved attention mechanism is applied to merging entity attention information into relation embeddings. And the number information of neighboring entities in the same tuple is integrated into the convolution network, which further supplies the information of entity convolution embedding. For the gradient vanishing problem of LPACN, the improved ResidualNet is integrated into LPACN, and the multilayer perceptron (MLP) is used to improve the nonlinear learning ability of model. The improved algorithm LPACN+ is obtained. Extensive experiments on real datasets validate that LPACN is better than the Baselines.

Published
2023
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15. High power uni-travelling-carrier photodiodes for THz wireless communications

Author

Lin, Xiaoli

Abstract

The research work in this thesis is concerned with improving the output RF power of Uni-Travelling Carrier Photodiodes (UTC-PDs) by increasing their bias voltage capability and improving their thermal performance, targeting the frequency range of 200 - 300 GHz for ultra-high-speed wireless communications. Antenna integrated UTC-PDs with higher output power will enable sub-THz signals to be transmitted over longer distance and with higher signal to noise ratio (SNR). At the beginning of this thesis, types of continuous wave THz sources are reviewed in the literature to compare their suitability for wireless communications. Photonic techniques, benefiting from signal transmission over optical fibre cables, allow THz modulated optical signals to be distributed over long distances, superior to electronic techniques in this aspect. With respect to frequency bandwidth, tuneability and room temperature operation, UTC-PDs have exhibited advantages over competing photonic devices, and were chosen as the signal source for sub-THz wireless communications to investigate in this thesis. Following this, the first waveguide coupled phosphide-based UTC-PDs grown by Solid Source Molecular Beam Epitaxy are reported. Coplanar Waveguide (CPW) integrated UTC-PDs and antenna integrated UTC-PDs were fabricated and characterised. Techniques were developed to reduce the leakage current of UTC-PDs from several µA to less than 100 nA (biased at -1V) for different sizes of devices up to 7×15 μm², and bias voltage capability was improved to enable UTC-PDs work up to -5V voltage. Limitations due to thermal effects in UTC-PDs are studied in detail. Experiments with pulsed heterodyne input signals were used to separate the thermal effects on the output power of CPW devices. Pulse measurement results indicate that UTC-PD output saturation power can be increased by more than 3 dB by reducing thermal effects. Thermal modelling of UTC-PDs is presented to show the temperature distribution inside devices. The modelling shows the restrictions preventing heat dissipation mainly come from two factors: the small cross-sectional area of the P-type contact and the low thermal conductivity of semiconductor materials. Three solutions are proposed to reduce thermal resistance and improve heat dissipation inside UTC-PDs. In addition, verification experiments were conducted to measure UTC-PD temperature and compare with the simulated results. Good agreement was achieved, demonstrating the validity of the thermal modelling presented in this thesis.

Published
2022

23. Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism

Author

Wang, Lizhi, Zhang, Xiaolong, Lin, Xiaoli, Hu, Jing, 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, Yang, Xiaochun, editor, Suhartanto, Heru, editor, Wang, Guoren, editor, Wang, Bin, editor, Jiang, Jing, editor, Li, Bing, editor, Zhu, Huaijie, editor, and Cui, Ningning, editor

Published
2023
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24. DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention

Author

Cai, Zhenhua, Lin, Xiaoli, Zhang, Xiaolong, Hu, Jing, 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, Premaratne, Prashan, editor, Jin, Baohua, editor, Qu, Boyang, editor, Jo, Kang-Hyun, editor, and Hussain, Abir, editor

Published
2023
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25. An Efficient Drug Design Method Based on Drug-Target Affinity

Author

Liu, Haoran, Zhang, Xiaolong, Lin, Xiaoli, Hu, Jing, 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, Premaratne, Prashan, editor, Jin, Baohua, editor, Qu, Boyang, editor, Jo, Kang-Hyun, editor, and Hussain, Abir, editor

Published
2023
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27. High performance waveguide uni-travelling carrier photodiode grown by solid source molecular beam epitaxy

Author

Lin, Xiaoli, Natrella, Michele, Seddon, James, Graham, Chris, Renaud, Cyril C., Tang, Mingchu, Wu, Jiang, Liu, Huiyun, and Seeds, Alwyn J.

Subjects
Physics - Applied Physics, Physics - Optics
Abstract

The first waveguide coupled phosphide-based UTC photodiodes grown by Solid Source Molecular Beam Epitaxy (SSMBE) are reported in this paper. Metal Organic Vapour Phase Epitaxy (MOVPE) and Gas Source MBE (GSMBE) have long been the predominant growth techniques for the production of high quality InGaAsP materials. The use of SSMBE overcomes the major issue associated with the unintentional diffusion of zinc in MOVPE and gives the benefit of the superior control provided by MBE growth techniques without the costs and the risks of handling toxic gases of GSMBE. The UTC epitaxial structure contains a 300 nm n-InP collection layer and a 300 nm n++-InGaAsP waveguide layer. UTC-PDs integrated with Coplanar Waveguides (CPW) exhibit 3 dB bandwidth greater than 65 GHz and output RF power of 1.1 dBm at 100 GHz. We also demonstrate accurate prediction of the absolute level of power radiated by our antenna integrated UTCs, between 200 GHz and 260 GHz, using 3d full-wave modelling and taking the UTC-to-antenna impedance match into account. Further, we present the first optical 3d full-wave modelling of waveguide UTCs, which provides a detailed insight into the coupling between a lensed optical fibre and the UTC chip., Comment: 19 pages, 24 figures

Published
2019
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30. An Optimization Method for Drug-Target Interaction Prediction Based on RandSAS Strategy

Author

Xiang, Huimin, Li, AoXing, Lin, Xiaoli, 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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31. Unsupervised Prediction Method for Drug-Target Interactions Based on Structural Similarity

Author

Zhang, Xinyuan, Lin, Xiaoli, Hu, Jing, Ding, Wenquan, 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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32. Drug-Target Binding Affinity Prediction Based on Graph Neural Networks and Word2vec

Author

Xia, Minghao, Hu, Jing, Zhang, Xiaolong, Lin, Xiaoli, 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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33. A Targeted Drug Design Method Based on GRU and TopP Sampling Strategies

Author

Tao, Jinglu, Zhang, Xiaolong, Lin, Xiaoli, 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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34. KGAT: Predicting Drug-Target Interaction Based on Knowledge Graph Attention Network

Author

Wu, Zhenghao, Zhang, Xiaolong, Lin, Xiaoli, 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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35. Characterization of a Novel Weak Allele of RGA1/D1 and Its Potential Application in Rice Breeding

Author

Liu Yantong, Li Ting, Jiang Zhishu, Zeng Chuihai, He Rong, Qiu Jiao, Lin Xiaoli, Peng Limei, Song Yongping, Zhou Dahu, Cai Yicong, Zhu Changlan, Fu Junru, He Haohua, and Xu Jie

Subjects
rice, weak allele, RGA1, dwarf germplasm resource, yield, grain quality, Plant culture, SB1-1110
Abstract

Semi-dwarfing improves the lodging resistance and yield of rice, and the vast majority of modern rice varieties harbor the sd1 allele to decrease plant height, resulting in reduced genetic diversity and negative agronomic traits. Thus, exploring alternative sources of dwarfism is imperative for rice breeding. Here, we identified a novel RGA1 allele, d1-w, from a local indica variety Xiaolixiang (XLX) using a map-based cloning approach. Compared with other rice varieties, RGA1 in XLX contained a unique single nucleotide polymorphism that resulted in an additional transcript and reduced functional RGA1 transcript level. The RGA1 from Nipponbare was introduced into XLX to estimate the value of d1-w in rice breeding. Compared with transgenic XLX plants (XLXD1), XLX exhibited reduced plant height, increased stem strength, lower reactive oxygen species accumulation, delayed senescence, stronger photosynthesis, higher grain yield and quality (including external, milling and nutritional qualities), and enhanced resistance to drought and Rhizoctonia solani. Therefore, we proposed that the d1-w allele has potential as an excellent dwarfism resource for rice breeding.

Published
2022
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44. Estimated Pulse Wave Velocity as a Novel Non-Invasive Biomarker for Metabolic Syndrome Among People Living with HIV

Author

Chen,Suling, Jiang,Yuanhui, Lin,Xiaoli, Chen,Hongjie, Wu,Xiaoxuan, Qian,Zhe, Xu,Xuwen, Zhong,Huiqun, Peng,Jie, Cai,Shaohang, Chen,Suling, Jiang,Yuanhui, Lin,Xiaoli, Chen,Hongjie, Wu,Xiaoxuan, Qian,Zhe, Xu,Xuwen, Zhong,Huiqun, Peng,Jie, and Cai,Shaohang

Abstract

Suling Chen,1,&ast; Yuanhui Jiang,1,&ast; Xiaoli Lin,1,&ast; Hongjie Chen,1 Xiaoxuan Wu,2 Zhe Qian,3 Xuwen Xu,1 Huiqun Zhong,1 Jie Peng,1 Shaohang Cai1 1Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China; 2Department of Communicable and Endemic Disease Control and Prevention, Haizhu District Center for Disease Control and Prevention, Guangzhou, People’s Republic of China; 3Second Department of Elderly Respiratory, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Huiqun Zhong; Jie Peng, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People’s Republic of China, Email lovely870821@163.com; pjie138@163.comPurpose: This study aims to investigate the relationship between estimated pulse wave velocity (ePWV) and metabolic syndrome (MetS) in people living with HIV (PLWH), proposing a novel and convenient predictor for early detection of MetS in PLWH.Patients and Methods: A total of 485 PLWH were enrolled. These participants were categorized into two groups based on the estimated pulse wave velocity (ePWV) level. Demographic and clinical data were collected to investigate the correlation between ePWV and MetS.Results: The cohort of 485 PLWH was categorized into high-ePWV and low-ePWV groups based on ePWV cutoff value of 10 m/s. We observed significant differences in components of MetS including triglycerides (TG, P < 0.05), HDL cholesterol (HDL-C, P < 0.01), systolic blood pressure (SBP, P < 0.001), diastolic blood pressure (DBP, P < 0.05), and fasting plasma glucose (FPG, P < 0.001) between the two groups. Furthermore, we employed receiver operating characteristic (ROC) curves to demonstrate the effectiveness of ePWV as a predictive indica

Published
2024

45. Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network

Author

Li, Aoxing, Lin, Xiaoli, Xu, Minqi, Yu, Haiping, 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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46. Drug-Target Interaction Prediction via Multiple Output Graph Convolutional Networks

Author

Ye, Qing, Zhang, Xiaolong, Lin, Xiaoli, 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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47. A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism

Author

Zou, Jinfan, Zhang, Xiaolong, Lin, Xiaoli, 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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49. Research on the status and influencing factors of maternal health literacy among postpartum women in urban villages.

Author

Chen, Shanxia, Lin, Xiaoli, Wang, Minyi, Gu, Zhimin, Wang, Meiyu, Ji, Yuting, and Yang, Ming

Subjects
*HEALTH literacy, *SOCIAL networks, *DELIVERY (Obstetrics), *CONVENIENCE sampling (Statistics), *PREGNANCY complications
Abstract

Aim Design Methods Results Conclusion Impact Patient or Public Contribution To comprehensively identify the status and influencing factors on maternal health literacy among postpartum women in Guangzhou urban villages.An explanatory sequential mixed‐method research was conducted from November 2021 to July 2022.The quantitative survey was conducted among postpartum women in Guangzhou urban villages using the convenience sampling principle, and a questionnaire survey was used to reflect the status and influencing factors on maternal health literacy. The qualitative interview conducted purposive sampling based on the survey and semi‐structured interviews with women to supplement the non‐quantifiable influencing factors.The quantitative survey showed that the maternal health literacy score of 501 women was 193.84 ± 22.23. The quantitative results suggested that ethnicity, education, income, household registration, delivery mode and social support were important influencing factors (p < .15). The qualitative interviews were conducted with 16 women and revealed three themes and eight sub‐themes, including demographic factors (ethnicity, education, income, occupation and family history), pregnancy factors (delivery mode and pregnancy complications) and social factors (social support), which influenced maternal health literacy through three routes: women's motivation, access and ability in screening health information.Maternal health literacy among postpartum women in urban villages needs to be improved, especially critical health literacy. Maternal and infant workers need to guide women to develop appropriate health information concepts and consider the realistic knowledge needs of women in different socio‐cultural and economic backgrounds. They should also construct a comprehensive social support system for women to better improve maternal health literacy.Highlights the positive benefits of maternal health literacy among postpartum women, as preparation for providing accurate and effective maternal and child health education services.The information on maternal health literacy in this study was based on an interview with postpartum women in Guangzhou urban villages during the study period. [ABSTRACT FROM AUTHOR]

Published
2024
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