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Akademický článek

Segmental vertebral three-dimensional motion in patients with L4 isthmic spondylolisthesis under weight-bearing conditions

Autor: Hongda Xu, Haitao Deng, Mingfan Li, Tieheng Wang, Peidong Qing

Publikováno v: Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-9 (2024)

Abstract Objective To investigate in vivo 6-degree-of-freedom (DOF) vertebral motion in patients with isthmic spondylolisthesis (IS) during various functional weight-bearing activities. Methods Fifteen asymptomatic volunteers (mean age 54.8 years) an

Externí odkaz: https://doaj.org/article/407593817cb744fc997893175581b5ca

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Akademický článek

Hybrid 3D Reconstruction of Indoor Scenes Integrating Object Recognition

Autor: Mingfan Li, Minglei Li, Li Xu, Mingqiang Wei

Publikováno v: Remote Sensing, Vol 16, Iss 4, p 638 (2024)

Indoor 3D reconstruction is particularly challenging due to complex scene structures involving object occlusion and overlap. This paper presents a hybrid indoor reconstruction method that segments the room point cloud into internal and external compo

Externí odkaz: https://doaj.org/article/c1753cc2d5f54fc89adba7b5ea2b6eb8

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Akademický článek

Immunogenicity and Blocking Efficacy of Norovirus GII.4 Recombinant P Protein Vaccine

Autor: Zhendi Yu, Qingyi Shao, Zhangkai Xu, Chenghao Chen, Mingfan Li, Yi Jiang, Dongqing Cheng

Publikováno v: Vaccines, Vol 11, Iss 6, p 1053 (2023)

Noroviruses (NoVs) are the main cause of acute gastroenteritis in all ages worldwide. The aim of this study was to produce the recombinant P protein of norovirus and to demonstrate its blocking effect. In this study, the engineered strains were induc

Externí odkaz: https://doaj.org/article/1cff6eb73aa842de9608b0ca47f853be

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Akademický článek

Runtime Adaptive Matrix Multiplication for the SW26010 Many-Core Processor

Autor: Zheng Wu, Mingfan Li, Mengxian Chi, Le Xu, Hong An

Publikováno v: IEEE Access, Vol 8, Pp 156915-156928 (2020)

The study of matrix multiplication on the emerging SW26010 processor is highly significant for many scientific and engineering applications. The state-of-the-art work from the swBLAS library, called SWMM, focuses mainly on the infrequent case involvi

Externí odkaz: https://doaj.org/article/2fcfad5bdaf34240b6a5695fedefa010

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Akademický článek

Deep learning representations for quantum many-body systems on heterogeneous hardware

Autor: Xiao Liang, Mingfan Li, Qian Xiao, Junshi Chen, Chao Yang, Hong An, Lixin He

Publikováno v: Machine Learning: Science and Technology, Vol 4, Iss 1, p 015035 (2023)

The quantum many-body problems are important for condensed matter physics, however solving the problems are challenging because the Hilbert space grows exponentially with the size of the problem. The recently developed deep learning methods provide a

Externí odkaz: https://doaj.org/article/07f3871e6f00495b93393adbfa644065

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