Zobrazeno 1 - 10
of 271
pro vyhledávání: '"Xiyang Wang"'
Autor:
Dingyu Jiang, Liang Ma, Xiyang Wang, Zhenchao Xu, Guannan Sun, Runze Jia, Yunqi Wu, Yilu Zhang
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract This retrospective study aimed to compare the clinical efficacy of the posterior procedure with the combined anterior and posterior procedure in the surgical management of lumbar Brucella spondylitis. From January 2015 to June 2020, a total
Externí odkaz:
https://doaj.org/article/6bf18e0b5cfc4936a6a44ca46b9ed786
Autor:
Cheng Du, Joel P. Mills, Asfaw G. Yohannes, Wei Wei, Lei Wang, Siyan Lu, Jian-Xiang Lian, Maoyu Wang, Tao Guo, Xiyang Wang, Hua Zhou, Cheng-Jun Sun, John Z. Wen, Brian Kendall, Martin Couillard, Hongsheng Guo, ZhongChao Tan, Samira Siahrostami, Yimin A. Wu
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Electrocatalytic CO2 reduction into value-added multicarbon products offers a means to close the anthropogenic carbon cycle using renewable electricity. However, the unsatisfactory catalytic selectivity for multicarbon products severely hind
Externí odkaz:
https://doaj.org/article/c5dc1754313445bd8311d4c504052466
Autor:
Zhiyao Wu, Xiyang Wang, Shuang Deng, Xupeng Qin, Qilin Han, Yu Zhou, Yanqiu Zhu, Nannan Wang, Chunlin He, Yimin A. Wu
Publikováno v:
iScience, Vol 26, Iss 12, Pp 108435- (2023)
Summary: Layered double hydroxides (LDHs) are widely used in catalytic field, especially in photocatalysis, benefiting from the ultrathin 2D structure and luxuriant surface functional groups. However, the wide band gap and low utilization rate of sol
Externí odkaz:
https://doaj.org/article/b262109f4ef54ec5b486a18715862e6a
Publikováno v:
Gut Microbes, Vol 15, Iss 2 (2023)
ABSTRACTIrritable bowel syndrome is a common functional gastrointestinal disorder, and it has been shown that the etiology of irritable bowel syndrome is a multifactorial complex of neurological, inflammatory, and immunological changes. There is grow
Externí odkaz:
https://doaj.org/article/4ae9b4da554d44ad90b94878788df51e
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
BackgroundMacrophages play an important role in regulating the course of spinal tuberculosis within the bone microenvironment. This study aimed to investigate the differential expression of miRNA in macrophage-derived exosomes within the tuberculosis
Externí odkaz:
https://doaj.org/article/dd00e901656948739fc0080e8bc84bcb
Publikováno v:
Orthopaedic Surgery, Vol 15, Iss 1, Pp 53-61 (2023)
Objective Mid‐thoracic spinal tuberculosis is prone to kyphotic deformities and neurologic impairment. Posterior approach can effectively restore the spinal stability by reconstructing the anterior and middle spinal columns. Titanium mesh cages (TM
Externí odkaz:
https://doaj.org/article/78bcfb3915b044b8a13ff2206212c2af
Publikováno v:
Frontiers in Surgery, Vol 10 (2023)
BackgroundSurgical intervention is necessary for resolving the symptoms of the spinal cord and nerve compression caused by symptomatic metastatic epidural spinal cord compression. However, surgeons are constantly seeking ways to improve surgical effi
Externí odkaz:
https://doaj.org/article/c588e76644764c8e9179b3b9e32226a3
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract This retrospective study aimed to evaluate midterm outcomes of surgical management of multi-segment thoracic spinal tuberculosis by single-stage posterior transforaminal debridement and interbody fusion with instrumentation. From January 200
Externí odkaz:
https://doaj.org/article/4d532dae52c641eca6735297e529bfc9
Publikováno v:
BMC Musculoskeletal Disorders, Vol 23, Iss 1, Pp 1-10 (2022)
Abstract Background This retrospective observational study was conducted to compare midterm outcomes of three bone graft struts for interbody fusion using a posterior approach in adults with lower lumbar spinal tuberculosis. Methods A total of 126 lo
Externí odkaz:
https://doaj.org/article/ce544e2443c647869a7c3a53b2a7cce8
Publikováno v:
Jixie chuandong, Vol 46, Pp 160-166 (2022)
The intelligent gear recognition method based on convolutional neural network can effectively identify the gear fault, but the convolutional neural network needs a lot of labeled training data, which limits the application of convolutional neural
Externí odkaz:
https://doaj.org/article/209fed3e3ea240dca495ffca91c6870e