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1,850 results on '"Hu, ZhiGang"'

9. Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery

Author

Leng, Liang, Xu, Zhichao, Hong, Bixia, Zhao, Binbin, Tian, Ya, Wang, Can, Yang, Lulu, Zou, Zhongmei, Li, Lingyu, Liu, Ke, Peng, Wanjun, Liu, Jiangning, An, Zhoujie, Wang, Yalin, Duan, Baozhong, Hu, Zhigang, Zheng, Chuan, Zhang, Sanyin, Li, Xiaodong, Li, Maochen, Liu, Zhaoyu, Bi, Zenghao, He, Tianxing, Liu, Baimei, Fan, Huahao, Song, Chi, Tong, Yigang, and Chen, Shilin

Published
2024
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15. Coarse-to-Fine Granularity in MultiScale FeatureFusion Network for SAR Ship Classification

Author

Lin, Wei, Zheng, Hao, Hu, Zhigang, Zheng, Meiguang, Yang, Liu, 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, Wand, Michael, editor, Malinovská, Kristína, editor, Schmidhuber, Jürgen, editor, and Tetko, Igor V., editor

Published
2024
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16. BDS-3 Signal in Space Ranging Errors Performance and On-Orbit Status Monitoring and Evaluation Based on Historical Data from 2020 ~ 2022

Author

Chen, Lei, Gao, Weiguang, Cai, Hongliang, Liu, Xuanzuo, Kan, Haoyu, Fan, Liqian, Hu, Zhigang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Yang, Changfeng, editor, and Xie, Jun, editor

Published
2024
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18. Fully automated chemiluminescence microarray immunoassay for detection of antinuclear antibodies in systemic autoimmune rheumatic diseases

Author

Yuan Dandan, Yang Xue, Ji Chen, Sun Guo, Xu Yang, Cao Ye, Ye Yan, Wang Tingting, and Hu Zhigang

Subjects
antinuclear antibodies, clmia, systemic autoimmune rheumatic diseases, Medical technology, R855-855.5
Abstract

Detection of specific antinuclear antibodies is very important in term of diagnosis, prognosis and management of patients with systemic autoimmune rheumatic diseases. Chemiluminescence microarray immunoassay (CLMIA) is a microdot array-based method that allows simultaneous detection of multiple antinuclear antibodies, which received increasing attention.

Published
2024
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19. Magnetic molecular orbitals in MnSi

Author

Jin, Zhendong, Li, Yangmu, Hu, Zhigang, Hu, Biaoyan, Liu, Yiran, Iida, Kazuki, Kamazawa, Kazuya, Stone, M. B., Kolesnikov, A. I., Abernathy, D. L., Zhang, Xiangyu, Chen, Haiyang, Wang, Yandong, Fang, Chen, Wu, Biao, Zaliznyak, I. A., Tranquada, J. M., and Li, Yuan

Subjects
Condensed Matter - Strongly Correlated Electrons, Condensed Matter - Mesoscale and Nanoscale Physics, Physics - Atomic and Molecular Clusters
Abstract

A large body of knowledge about magnetism is attained from models of interacting spins, which usually reside on magnetic ions. Proposals beyond the ionic picture are uncommon and seldom verified by direct observations in conjunction with microscopic theory. Here, using inelastic neutron scattering to study the itinerant near-ferromagnet MnSi, we find that the system's fundamental magnetic units are interconnected, extended molecular orbitals consisting of three Mn atoms each, rather than individual Mn atoms. This result is further corroborated by magnetic Wannier orbitals obtained by ab initio calculations. It contrasts the ionic picture with a concrete example, and presents a novel regime of the spin waves where the wavelength is comparable to the spatial extent of the molecular orbitals. Our discovery brings important insights into not only the magnetism of MnSi, but also a broad range of magnetic quantum materials where structural symmetry, electron itinerancy and correlations act in concert., Comment: 27 pages, 27 figures including supplemental; comments are welcome

Published
2022
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21. Grading crayfish by estimating the proportion of crayfish head and pincers based on DeepLab V3+

Author

WANG Zihao, HU Zhigang, FU Dandan, and JIANG Yajun

Subjects
crayfish, semantic segmentation, grading, deeplab v3+, Food processing and manufacture, TP368-456
Abstract

Objective: To achieve reasonable and effective grading of live crayfish, and improve the work of grading crayfish. Methods: The construction of crayfish image shooting platform, to obtain the original image of crayfish, and the semantic segmentation dataset which segmented the three parts of the crayfish head, crayfish pincers, and crayfish tail was created. The correlation between the actual weight of three parts and the corresponding pixel size in the dataset was analyzed, and a new grading standard for crayfish which was according to the proportion of head and pincers in the whole crayfish was summarized. The DeepLab V3+ neural network was trained using the crayfish semantic segmentation dataset, and the test set was used to test the semantic segmentation effect of the model and the accuracy of crayfish grading. Semantic segmentation evaluation criteria were mean intersection over union （MIoU）, mean pixel accuracy （MPA） and pixel accuracy （PA）. Results: The MIoU of the crayfish semantic segmentation test set was 94.35%, the MPA was 96.56%, and the PA was 99.44%. The accuracy of crayfish grading in the test set was 85.56%. Conclusion: The DeepLab V3+ model can accurately segment crayfish images and estimate the proportion of crayfish head and pincers, and the model can complete the crayfish grading task.

Published
2024
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50. Definition and Measurement of Core Collaborators in Scientific Research Collaboration: A Measurement Methodology Based on the H-Index

Author

LUO Wen, HU Zhigang

Subjects
scientific collaboration, core collaborators, scientific collaboration model, h-index, Bibliography. Library science. Information resources, Agriculture
Abstract

[Purpose/Significance] Different collaborators play different roles and assume corresponding responsibilities in scientific research collaboration. Distinguishing the different roles in research collaborators is important for the evaluation of research talent and human resources allocation. Previous studies have defined the roles of collaborators from multiple perspectives, both qualitative and quantitative, but lack a simple and efficient way to identify core collaborators. In this paper, we use the number of collaborations to identify core collaborators in scientists' collaborative relationships based on the H-index measure, which is a very easy to calculate and intuitively understandable method. [Method/Process] Using the OpenAlex database as a data source, an empirical analysis of approximately 5.05 million journal papers in the field of computing in China and G7 countries over 20 years (2000-2021) was conducted. First, the core collaborators of highly productive scientists were studied and their collaboration characteristics were analyzed from the perspective of size and share. Second, based on the H-index fitting formula proposed by previous authors, a formula for estimating the number of core collaborators based on the number of publications and the average number of collaborators per article was proposed. Finally, the formula was used to compare the differences between the theoretical and actual values of the number of core collaborators across countries. [Results/Conclusions] The study found that in terms of size and proportion of core collaborators, China had the highest average total number of collaborators among highly productive scientists, followed by the USA, Germany and the UK, while Italy had the lowest. The number of core collaborators was generally 3-7 across countries, with China and Italy having a higher rate of cooperation and the UK, France and Canada having a lower rate of cooperation. In terms of the number of core collaborators as a percentage, no country has more than 10%, with Italy having the highest percentage of core collaborators at 7.42%, followed by Japan, France and Canada, while the US has the lowest percentage of core collaborators. In terms of the total number of collaborators, there is no significant difference between China, the US and Germany, while there is a significant difference among all five other countries. In terms of the number of core collaborators, China is not significantly different from Italy and is significantly different from all other six countries. The number of core collaborators can be estimated by using the formula of the product of the number of publications and the power of the average number of collaborators per article, which has a good fit of 0.8 or more. Among China and the G7, the US, Germany and the UK have a lower proportion of core collaborators, with more frequent mobility and exchange of talent, while Italy, Japan and China have a higher proportion of core collaborators, indicating a lack of talent mobility and a relative consolidation of research collaboration.

Published
2023
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