Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Ziyan Luo"'
Autor:
Ziyan Luo, Wenxuan Li, Jieting Jiang, Jie Sun, Mingyue Zhang, Yaqing Zhang, Lu Dong, Kunpeng Li, Caiqin Wu
Publikováno v:
Brain and Behavior, Vol 14, Iss 10, Pp n/a-n/a (2024)
ABSTRACT Aims and objective To investigate the impact of acupuncture on post‐stroke cognitive impairment (PSCI). Background PSCI is a major barrier to stroke patients’ rehabilitation, and acupuncture is one of the treatments. However, the benefit
Externí odkaz:
https://doaj.org/article/eb3b8bb2df6a47b5a5fa4de1db59eedb
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11955 (2023)
Bridges play a crucial role in the development of the national economy and transportation industry, and their deformation monitoring is vital for ensuring their health. Therefore, it is necessary to conduct long-term monitoring of bridges’ deformat
Externí odkaz:
https://doaj.org/article/a758027a4bfa4f1093bccfc8f6abc321
Autor:
Mengqiao Dai, Ziyan Luo, Shuqin Hu, Hu Chen, Jiechao Yang, Dandan Geng, Weina Li, Xiaoqin Liao
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
BackgroundWith the development of rehabilitation medicine, exercise therapy has gradually become one of the methods to prevent and treat cardiovascular diseases. It is widely used in clinic because it can further reduce the mortality rate, improve cl
Externí odkaz:
https://doaj.org/article/a5de743a0bfd47d3bb407973585acf0d
Publikováno v:
IET Biometrics, Vol 10, Iss 6, Pp 664-678 (2021)
Abstract In this article, an effective approach is proposed to recognise the 2D+3D facial expression automatically based on orthogonal Tucker decomposition using factor priors (OTDFPFER). As a powerful technique, Tucker decomposition on the basis of
Externí odkaz:
https://doaj.org/article/75ba92604d5f440bb75af1c20d8bb85a
Autor:
Shuangyue Wang, Ziyan Luo
Publikováno v:
Mathematics, Vol 11, Iss 13, p 2829 (2023)
As one of the supervised tensor learning methods, the support tensor machine (STM) for tensorial data classification is receiving increasing attention in machine learning and related applications, including remote sensing imaging, video processing, f
Externí odkaz:
https://doaj.org/article/db1ce87569c548299e8ac69cb91aea48
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Neuroblastoma (NB) is a devastating malignancy threatening children’s health, and amplification of MYCN is associated with treatment failure and a poor outcome. Here, we aimed to demonstrate the role of cell division cycle 27 (CDC27), an important
Externí odkaz:
https://doaj.org/article/67caab8393774c4d8eaf3999e2bc643c
Publikováno v:
IEEE Access, Vol 7, Pp 59422-59436 (2019)
In this paper, a sparse optimization model with ℓ0-norm and the squared ℓ2-norm as the objective function is proposed for energy-efficient timetabling in subway systems by means of improving the regenerative braking energy utilization. Optimality
Externí odkaz:
https://doaj.org/article/43aa25c28e0645599b7ab5132be0e55d
Autor:
Yumeng Yang, Ziyan Luo, Haijun Wu, Yanjun Xu, Run-Wei Li, Stephen J. Pennycook, Shufeng Zhang, Yihong Wu
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
Magnetoresistance in ferromagnetic materials and heterostructures have been enabling advanced understanding of electron transport in solids, as well as new concepts for applications. Here the authors demonstrate a different type of magnetoresistance
Externí odkaz:
https://doaj.org/article/7b44832e3d9a40eab06235da792023f5
Publikováno v:
Journal of Advanced Transportation, Vol 2018 (2018)
In this paper, we propose a sparse optimization approach to maximize the utilization of regenerative energy produced by braking trains for energy-efficient timetabling in metro railway systems. By introducing the cardinality function and the square o
Externí odkaz:
https://doaj.org/article/010d797f00a643398973ff794bc49974
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2013 (2013)
A new accident causation model is proposed for accident analysis based on the complex network theory. By employing the cascading failure scheme, a new accident investigation method is performed on the associated new model, by which we can reveal key
Externí odkaz:
https://doaj.org/article/4a31771537954470beab34097f7325af