Zobrazeno 1 - 10
of 201
pro vyhledávání: '"RuiYang Wang"'
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-10 (2024)
Abstract Objective This study aimed to compare the clinical efficacy of thoracoscopy combined with transforaminal endoscopy and thoracoscopy alone in the treatment of thoracic tuberculosis. Methods Patients with thoracic tuberculosis who visited our
Externí odkaz:
https://doaj.org/article/a9fecb91ecae4567984b8da0e23bbffd
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-9 (2024)
Abstract Background To study the risk factors associated with misplacement of freehand pedicle screws through a posterior approach for degenerative scoliosis. Methods A total of 204 patients who underwent posterior pedicle screw-rod system surgery fo
Externí odkaz:
https://doaj.org/article/2d39ce94f85943638ad723ccce67e09d
Autor:
Xinyi Huang, Baoqing Tian, Ziyuan Ren, Jingxin Zhang, Weiwei Yan, You Mo, Jupeng Yuan, Yujiao Ma, Ruiyang Wang, Rufei Liu, Minxin Chen, Jinming Yu, Dawei Chen
Publikováno v:
Therapeutic Advances in Medical Oncology, Vol 16 (2024)
Background: Given that only a small subset of patients with advanced non-small-cell lung cancer (aNSCLC) benefit from immune checkpoint inhibitors (ICIs), the effectiveness of ICIs is often compromised by the complex interplay within the tumor microe
Externí odkaz:
https://doaj.org/article/d4b953782cf84509b80f34709aa44339
Autor:
Junjie Liang, Qianlong Zhang, Yijun Heng, Gesheng Li, Ke Yang, Ruiyang Wang, Fan Dong, Neng Zhu
Publikováno v:
Molecules, Vol 29, Iss 23, p 5660 (2024)
1-Methylnaphthalene is a critical component for constructing fuel surrogates of diesel and aviation kerosene. However, the reaction pathways of 1-methylnaphthalene included in existing detailed chemical kinetic models vary from each other, leading to
Externí odkaz:
https://doaj.org/article/3c46a2e375d64e39adf31e7b73391cd6
Autor:
Shenrong Lv, Bo Yang, Ruiyang Wang, Siyu Lu, Jiawei Tian, Wenfeng Zheng, Xiaobing Chen, Lirong Yin
Publikováno v:
Systems, Vol 12, Iss 10, p 420 (2024)
In neural machine translation (NMT), the sophistication of word embeddings plays a pivotal role in the model’s ability to render accurate and contextually relevant translations. However, conventional models with single granularity of word segmentat
Externí odkaz:
https://doaj.org/article/8bcb5baf350d4f90936f982c056af6a7
Autor:
Wenfeng Zheng, Gu Gong, Jiawei Tian, Siyu Lu, Ruiyang Wang, Zhengtong Yin, Xiaolu Li, Lirong Yin
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-17 (2023)
Abstract Natural language processing (NLP) based on deep learning provides a positive performance for generative dialogue system, and the transformer model is a new boost in NLP after the advent of word vectors. In this paper, a Chinese generative di
Externí odkaz:
https://doaj.org/article/846f00a62933473abbb3f3c99280aebd
Publikováno v:
BMC Musculoskeletal Disorders, Vol 24, Iss 1, Pp 1-9 (2023)
Abstract Background Treating complex cases of spinal tuberculosis (STB) that involve multiple vertebral bodies and cause destruction of the spinal structure, kyphotic deformity, and acute nerve injury can be challenging. This report describes the cou
Externí odkaz:
https://doaj.org/article/11d8e81aeef94e339c032d0731dfd7ba
Publikováno v:
Zhongguo youzhi, Vol 48, Iss 10, Pp 116-121 (2023)
为实现对食用植物油的快速无损识别，采用衰减全反射-傅里叶变换红外光谱获取10种食用植物油样本的340份谱图数据，经过预处理消除光谱数据中的噪声与背景干扰，通过主成分分析降维特
Externí odkaz:
https://doaj.org/article/a0d9a7e920d748ab8c69c39d360a4649
Publikováno v:
南方能源建设, Vol 10, Iss 5, Pp 65-71 (2023)
[Introduction] With the development of new loads, such as distributed power sources and electric vehicles, DC(Direct Current) microgrids have the advantages of fewer commutation links and lower system losses than AC(Alternating Current) microgrids, a
Externí odkaz:
https://doaj.org/article/f1ab1c9e972b4f44bd74486d02293dd5
Autor:
Bixi Wang, Wenfeng Zheng, Ruiyang Wang, Siyu Lu, Lirong Yin, Lei Wang, Zhengtong Yin, Xinbing Chen
Publikováno v:
Systems, Vol 12, Iss 6, p 188 (2024)
With the continuous development of information technology and the rapid increase in new users of social networking sites, recommendation technology is becoming more and more important. After research, it was found that the behavior of users on social
Externí odkaz:
https://doaj.org/article/9238c48cbfa94374a0a6091edd2ee247