Zobrazeno 1 - 10
of 131
pro vyhledávání: '"XIANGYUN LIU"'
Autor:
Jianqiang Kou, Yongchen Bie, Mingquan Liu, Liqin Wang, Xiangyun Liu, Yuanliang Sun, Xiujun Zheng
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Objectives The aim of this study was to explore the long non-coding RNA (lncRNA) expression profiles in serum of patients with ankylosing spondylitis (AS). The role of these lncRNAs in this complex autoimmune situation needs to be evaluated.
Externí odkaz:
https://doaj.org/article/9e217485dec942a9b396c9b19146a7ba
Publikováno v:
Nano-Micro Letters, Vol 15, Iss 1, Pp 1-13 (2023)
Highlights Highly efficient CuEDTA removal by an electrolyzer with MoS2 nanosheet cathode. Higher removal rate and Faraday efficiency compared with other widely reported electrocatalytic technologies. CuEDTA/Zn primary battery is constructed for the
Externí odkaz:
https://doaj.org/article/717557f3482d45c984c38b79c01071b5
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103678- (2024)
Unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) image characteristics, such as large geometric distortions, striped inhomogeneous radiation, severe speckle noise and ultra-high resolution, pose significant challenges to multi-view UAV SA
Externí odkaz:
https://doaj.org/article/74bfd7f13a7f4a83865993d40135882d
Autor:
Yongchen Bie, Xiujun Zheng, Xiaojiong Chen, Xiangyun Liu, Liqin Wang, Yuanliang Sun, Jianqiang Kou
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 18, Iss 1, Pp 1-11 (2023)
Abstract Background Ankylosing spondylitis (AS) is a chronic progressive autoimmune disease characterized by spinal and sacroiliac arthritis, but its pathogenesis and genetic basis are largely unclear. Methods We randomly selected three serum samples
Externí odkaz:
https://doaj.org/article/9b5926218bb24c9d8b42444d1397747c
Autor:
Jiajing Xu, Songyang He, Xing Huang, Dagang Han, Xiangyun Liu, Jiubin Sun, Jing Wang, Lu Yao, Shaofeng Zhang
Publikováno v:
Buildings, Vol 14, Iss 6, p 1784 (2024)
This paper presents an evaluation of the bearing capacity of cross-bracing in steel transmission tower structures. Design guidelines (ASCE 10-15, BS EN 50341-1, GB 50017-2017, and DL/T 5486-2020) related to the buckling capacity of the cross-bracing
Externí odkaz:
https://doaj.org/article/ee4d9e4960474cef8f3c4cbe9c9d82bb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 930-945 (2023)
Compared with general object detection, the scale variations, arbitrary orientations, and complex backgrounds of objects in remote sensing images make it more challenging to detect oriented objects. Especially for oriented objects that have large asp
Externí odkaz:
https://doaj.org/article/3b0362f84e204069a1531baf08d6622e
Autor:
Yanwei Cai, Suijun Wang, Shasha Wang, Qing Gu, Yunda Huang, Jingyuan Li, Ru Wang, Xiangyun Liu
Publikováno v:
Experimental Gerontology, Vol 179, Iss , Pp 112250- (2023)
Purpose: This randomized controlled trial aimed to study the effects of Yijinjing plus Elastic Band Resistance exercise on intrahepatic lipid (IHL), body fat distribution, glucolipid metabolism and biomarkers of inflammation in middle-aged and older
Externí odkaz:
https://doaj.org/article/10f6c3d403144550a7f9fd9f3f73445e
Publikováno v:
Trials, Vol 23, Iss 1, Pp 1-8 (2022)
Abstract Background Polycystic ovary syndrome (PCOS) is the most common heterogeneous endocrine disease among women of childbearing age, characterized by androgen excess and ovarian dysfunction. Aerobic exercise is an important solution used to manag
Externí odkaz:
https://doaj.org/article/0c59c18e09664aa5960a3344277cd49e
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 5029 (2023)
The goal of cross-view image based geo-localization is to determine the location of a given street-view image by matching it with a collection of geo-tagged aerial images, which has important applications in the fields of remote sensing information u
Externí odkaz:
https://doaj.org/article/286aa45070ad4d87817e8f03e19ed90d
Publikováno v:
IEEE Access, Vol 10, Pp 16740-16755 (2022)
Scene classification is an important and challenging task employed toward understanding remote sensing images. Convolutional neural networks have been widely applied in remote sensing scene classification in recent years, boosting classification accu
Externí odkaz:
https://doaj.org/article/c302c0d4c8754c61acb04370f6091e70