Zobrazeno 1 - 10
of 2 265
pro vyhledávání: '"Yong, Shen"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Background About one in four Chinese people might suffer or have already suffered from anxiety conditions, with a lifetime prevalence rate of 4.8%. However, many of those who could have benefited from psychological or pharmacological treatme
Externí odkaz:
https://doaj.org/article/1b21d962e2ff4a119c9a12f52362717f
Autor:
Jinbo Zhang, Lihang Jiang, Shaofeng Liu, Junhao Shen, Pierre Braunstein, Yong Shen, Xiaohui Kang, Zhibo Li
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract When aiming at the direct use of CO2 for the preparation of advanced/value-added materials, the synthesis of CO2/olefin copolymers is very appealing but challenging. The δ-lactone 3-ethylidene-6-vinyltetrahydro-2H-pyran-2-one (EVP), synthes
Externí odkaz:
https://doaj.org/article/73eba0995dfe4836a4f8dd33fac25b01
Publikováno v:
Neurospine, Vol 21, Iss 3, Pp 1029-1039 (2024)
Objective To evaluate the degeneration patterns of paraspinal muscles in double-level degenerative lumbar spondylolisthesis (dl-DLS) versus single-level degenerative lumbar spondylolisthesis (sl-DLS). Methods A total of 67 dl-DLS and 73 sl-DLS patien
Externí odkaz:
https://doaj.org/article/0c32909722914683a72aa056d5bbfd8c
Autor:
Jiansong Feng, Zhongqi Wang, Mengyuan Zhanghu, Xu Zhang, Yong Shen, Jing Yang, Zhibin Li, Bin Chen, Taihong Wang, Xiaolong Chen, Zhaojun Liu
Publikováno v:
Microsystems & Nanoengineering, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract Sensors with a small footprint and real-time detection capabilities are crucial in robotic surgery and smart wearable equipment. Reducing device footprint while maintaining its high performance is a major challenge and a significant limitati
Externí odkaz:
https://doaj.org/article/5cfb444545fd4cd1b2d4ed584d0fba80
Autor:
Sarah E. Diaddigo, BS, Myles N. LaValley, BS, Alexander F. Dagi, MPhil, Kevin Kuonqui, BA, Yong Shen, BA, Wakenda J. Tyler, MD, Jarrod T. Bogue, MD
Publikováno v:
Plastic and Reconstructive Surgery, Global Open, Vol 12, Iss 9, p e6161 (2024)
Summary:. Three-dimensional (3D) planning and manufacturing technologies have become integral to head and neck reconstruction following tumor resection. These technologies facilitate the prototyping of patient-specific solutions in both digital and p
Externí odkaz:
https://doaj.org/article/bf39ef7044144888a751ee584bd7e732
Autor:
Jing Yang, Guojiang Yuan, Yong Shen, Caili Guo, Zhibin Li, Fengling Yan, Xiaolong Chen, Lin Mei, Taihong Wang
Publikováno v:
Advanced Science, Vol 11, Iss 34, Pp n/a-n/a (2024)
Abstract Only microstructures are used to improve the sensitivity of iontronic pressure sensors. By modulating the compressive modulus, a breakthrough in the sensitivity of the iontronic pressure sensor is achieved. Furthermore, it allows for program
Externí odkaz:
https://doaj.org/article/0809cd2d7afd4bbf9a530b1fc0b0a48f
Autor:
Linbin Dai, Xinyi Lv, Zhaozhao Cheng, Yan Wu, Xianliang Chai, Jiong Shi, Yong Shen, Qiong Wang, Feng Gao
Publikováno v:
Translational Neurodegeneration, Vol 13, Iss 1, Pp 1-4 (2024)
Externí odkaz:
https://doaj.org/article/552ff017f8e54a82a7f7de93c05e266c
Autor:
Miaohui Shao, Peiyuan Hu, Pengpeng Xu, Jie Sun, Xiaqing Zhang, Dan Zhang, Yong Shen, Dawei Gao, Weigang Zhang, Wei Qin, Yong Lyu
Publikováno v:
PeerJ, Vol 12, p e17562 (2024)
Tick-borne rickettsial disease (TBRD) is a perilous acute infection that often eludes diagnosis in its early stages. The triad of knowledge, attitudes, and practices (KAPs) among medical professionals is key to reducing missed diagnosis rates. Theref
Externí odkaz:
https://doaj.org/article/a802336c18f1466a98f965fda2523408
Autor:
Juan Tang, Peiling Zhao, Yi Li, Shaowen Liu, Lu Chen, Yu Chen, Rui Chen, Yong Shen, Yongmei Liu
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31753- (2024)
Objective: The goal of the research is to investigate the link between serum potassium levels and death after 28 days in sepsis patients, utilizing an extensive sample of patients from the multi-center Medical Information Mart for Intensive Care IV (
Externí odkaz:
https://doaj.org/article/3673df56ead8462dbb0b13cd6d179bef
Publikováno v:
Graphical Models, Vol 133, Iss , Pp 101214- (2024)
We introduce IGF-Fit, a novel method for estimating surface normals from point clouds with varying noise and density. Unlike previous approaches that rely on point-wise weights and explicit representations, IGF-Fit employs a network that learns an im
Externí odkaz:
https://doaj.org/article/6d65232884e44f8cb02f4301a265c8dc