Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Jiaqi Xiong"'
Autor:
Liming Cheng, Jiaqi Xiong, Junwei Duan, Yuhang Zhang, Chun Chen, Jingxin Zhong, Zhiguo Zhou, Yujuan Quan
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
IntroductionEpilepsy is a common neurological condition that affects a large number of individuals worldwide. One of the primary challenges in epilepsy is the accurate and timely detection of seizure. Recently, the graph regularized broad learning sy
Externí odkaz:
https://doaj.org/article/4ec7fc53f610403cabf6c1112170b34b
Autor:
Yihao Wang, Yihan Li, Mingzhi Li, Keyi Wang, Jiaqi Xiong, Ting Wang, Yu Wang, Yunli Guo, Lingbao Kong, Meifeng Li
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 16, p 8678 (2024)
Monkeypox virus (MPXV) is a cross-kingdom pathogen infecting both humans and wildlife, which poses a significant health risk to the public. Although MPXV attracts broad attention, there is a lack of adequate studies to elucidate pathogenic mechanisms
Externí odkaz:
https://doaj.org/article/dc28af4f687f40eaa443dca79d49061d
Autor:
Wenfeng Lin, Jiaqi Xiong, Yefan Jiang, Hao Liu, Jinhui Bian, Juejin Wang, Yongfeng Shao, Buqing Ni
Publikováno v:
Channels, Vol 17, Iss 1 (2023)
ABSTRACTMarfan syndrome (MFS) is an autosomal dominant connective tissue disorder caused by mutation in fibrillin-1 (FBN1). However, the molecular mechanism underlying MFS remains poorly understood. The study aimed to explore how the L-type calcium c
Externí odkaz:
https://doaj.org/article/47702b5ce70147bcbc307aee05c2366b
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5262 (2023)
Interferometric synthetic aperture radar (InSAR) technology has become one of the mainstream techniques for active landslide identification over a large area. However, the method for interpreting anomalous deformation areas derived from InSAR data is
Externí odkaz:
https://doaj.org/article/024cbda025314dce994f70c48581db9c
Autor:
Feng Xiong, Honggui Xu, Mingao Yu, Xingyu Chen, Zhenmin Zhong, Yuhan Guo, Meihong Chen, Huanfang Ou, Jiaqi Wu, Anhua Xie, Jiaqi Xiong, Linlin Xu, Lanmei Zhang, Qijian Zhong, Liye Huang, Zhenwei Li, Tianyuan Zhang, Feng Jin, Xun He
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Molecular generation (MG) via machine learning (ML) has speeded drug structural optimization, especially for targets with a large amount of reported bioactivity data. However, molecular generation for structural optimization is often powerless for ne
Externí odkaz:
https://doaj.org/article/219723b377ee49389ba588706c3f59c3
Autor:
Sashuang Dong, BenHua Zeng, Ling Hu, Yuling Zhang, Jiaqi Xiong, Jing Deng, Liyan Huang, ZhenLin Liao, Jie Wang, Hong Wei, Xiang Fang
Publikováno v:
Frontiers in Nutrition, Vol 8 (2021)
Externí odkaz:
https://doaj.org/article/4f4f681379cd4c8c81022e63a9a04a94
Autor:
Sashuang Dong, BenHua Zeng, Ling Hu, Yuling Zhang, Jiaqi Xiong, Jing Deng, Liyan Huang, ZhenLin Liao, Jie Wang, Hong Wei, Xiang Fang
Publikováno v:
Frontiers in Nutrition, Vol 8 (2021)
Human flora-associated (HFA) mouse models allow us to design interventions for human disease research to test specific hypotheses and explore the complex commensal microbiome while avoiding the ethical limitations of using humans as models to directl
Externí odkaz:
https://doaj.org/article/434b92837cf24cb4baee48992fe296cd
Publikováno v:
Land, Vol 11, Iss 4, p 488 (2022)
Farmland is one of the key factors affecting national or regional food security, and farmland suitability evaluation can provide critical information for the spatial layout of farmland. Previous studies have mainly focused on the role of natural fact
Externí odkaz:
https://doaj.org/article/ad09eda571214cf381be45f0aabd2a86
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 12, p 831 (2021)
Extracting the residential areas from digital raster maps is beneficial for research on land use change analysis and land quality assessment. In traditional methods for extracting residential areas in raster maps, parameters must be set manually; the
Externí odkaz:
https://doaj.org/article/60d02e4351a34b0699c5196c2f5b2f10
Publikováno v:
Journal of Geographical Systems. 25:265-289
Object matching is a key technology for map conflation, data updating, and data quality assessment. This article proposed a new Voronoi diagram-based approach for matching multi-scale road networks (VAMRN). Using this method, we first created Voronoi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::219f611d0b6e3124a9e54faecd20c6f0
https://doi.org/10.1007/s10109-023-00409-w
https://doi.org/10.1007/s10109-023-00409-w