Zobrazeno 1 - 10
of 215
pro vyhledávání: '"guangjian wang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Sepsis is a clinical syndrome caused by infection, leading to organ dysfunction due to a dysregulated host response. In recent years, its high mortality rate has made it a significant cause of death and disability worldwide. The pathophysiol
Externí odkaz:
https://doaj.org/article/92fbc4ebcadb480c8ccbf35fb4174435
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-9 (2024)
Abstract Background The optimal treatment method for managing unstable Pauwels III femoral neck fractures remains undetermined. The aim of this study was to compare the biomechanical properties of two types of Femoral Neck Anti-rotation and Support S
Externí odkaz:
https://doaj.org/article/ba6414e08c774ea7b04040125a3275a5
Publikováno v:
Machines, Vol 12, Iss 9, p 605 (2024)
Eccentric meshing reducers are widely used in agriculture, industrial robots, and other fields due to their ability to achieve a high reduction ratio within a compact volume. However, the contact wear problem seriously affects the service performance
Externí odkaz:
https://doaj.org/article/63293d25c8dc4de68700677ddb2193ad
Autor:
Yujiang Jiang, Guangjian Wang
Publikováno v:
Machines, Vol 12, Iss 8, p 567 (2024)
The development of high-speed motors has stimulated the demand for high-speed reducers. In response to the lack of research on high-speed reducers and the challenge of developing high-speed transmission systems, this study proposes a novel wedge-load
Externí odkaz:
https://doaj.org/article/b8668c58214a469390f3e5ef43b403ea
Publikováno v:
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 18, Iss 2, Pp JAMDSM0017-JAMDSM0017 (2024)
With the global trend of electrification and the development of high-speed motor technology, the demand for high-speed reducers has been greatly promoted. As we all know, traction drive has certain inherent advantages in high-speed transmission. Ther
Externí odkaz:
https://doaj.org/article/6333128c7f604f988720f4aba693642b
Publikováno v:
Journal of International Medical Research, Vol 51 (2023)
Objective This study aimed to investigate the potential value of serum hypoxia-inducible factor-1α (HIF-1α) concentrations as a biomarker in patients with sepsis. Methods The enrolled patients were divided into the following four groups: the intens
Externí odkaz:
https://doaj.org/article/37ad9d9ba68d46da8184bd2238900519
Autor:
Oupeng Li, Jia He, Kun Zeng, Ziming Yu, Xianfeng Du, Zhi Zhou, Yuan Liang, Guangjian Wang, Yan Chen, Peiying Zhu, Wen Tong, David Lister, Luke Ibbetson
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2022, Iss 1, Pp 1-21 (2022)
Abstract 6G is believed to go beyond communication and provide integrated sensing and computing capabilities for a vision of Connected Intelligence with everything connected, everything sensed, and everything intelligent. Integrated sensing and commu
Externí odkaz:
https://doaj.org/article/c4c7ab981c2249d8adc3d00f021b7f2e
Autor:
Guangjian Wang, Hongmin Zhang, Dawei Liu, Xiaoting Wang, Chinese Critical Ultrasound Study Group, Peifang Wei
Publikováno v:
Chinese Medical Journal, Vol 135, Iss 2, Pp 137-144 (2022)
Abstract. Fluid resuscitation is an essential intervention in critically ill patients, and its ultimate goal is to restore tissue perfusion. Critical illnesses are often accompanied by glycocalyx degradation caused by inflammatory reactions, hypoperf
Externí odkaz:
https://doaj.org/article/f17855f8b30c49339379353736153f95
Publikováno v:
Jixie chuandong, Vol 45, Pp 16-21 (2021)
The knowledge units of gear transmission scheme digital design are established，and the motion，dynamic and structural attributes of the knowledge units are extracted. From the state space theory of mechanical motion scheme design，the motion and
Externí odkaz:
https://doaj.org/article/b0800db5fb4644a99f78280edcad7be8
Publikováno v:
Energies, Vol 16, Iss 12, p 4558 (2023)
Physics-informed neural network (PINN) architectures are recent developments that can act as surrogate models for fluid dynamics in order to reduce computational costs. PINNs make use of deep neural networks, where the Navier-Stokes equation and free
Externí odkaz:
https://doaj.org/article/9cd18482448d44ada95d6e07d8706fe7