Zobrazeno 1 - 10
of 1 152
pro vyhledávání: '"Chen Zhuang"'
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Background The anatomical location for lateral ligament reconstruction remains a significant challenge. With the development of arthroscopic technology, arthroscopic-assisted lateral ligament reconstruction can significantly facilitate the c
Externí odkaz:
https://doaj.org/article/b37c4cf1a76a4b4eb8db0c5764c66a39
Autor:
Hongying Chen, Shuang Jin, Jiaan Zhang, Chao Luan, Mei Ju, Ronglin Zhang, Xiaohua Zhang, Yan Zhu, Lili Wang, Chen Zhuang, Dan Huang, Yu Hu, Kun Chen
Publikováno v:
Photodiagnosis and Photodynamic Therapy, Vol 50, Iss , Pp 104363- (2024)
Background: Actinic keratoses (AK) may progress into squamous cell carcinoma. Many combination therapies were used to improve the clearance rate. However, there are limited studies on the efficacy and safety of lesion-directed Liquid nitrogen cryothe
Externí odkaz:
https://doaj.org/article/c748c587ae3a43e59ed15b44ff09266c
Publikováno v:
Cancer Communications, Vol 44, Iss 2, Pp 205-225 (2024)
Abstract Targeted delivery of anti‐tumor drugs and overcoming drug resistance in malignant tumor cells remain significant clinical challenges. However, there are only few effective methods to address these issues. Extracellular vesicles (EVs), acti
Externí odkaz:
https://doaj.org/article/b22fa0a3dce347d6b226ad7b6ec3e7f1
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This article presents an innovative method for predicting transformer temperature and faults in distribution substations using a digital twin model combined with deep learning techniques. By constructing a digital model of the transformer, real-time
Externí odkaz:
https://doaj.org/article/79b77c7cd3ee4082b033ae7eb65966e8
Autor:
Jinsheng Yu, Chen Zhuang, Wenxuan Guo, Xing Zhou, Yixuan Chen, Likang Wang, Wenkai Li, Yiwen Zhu, Rujie Zhuang, Kun Tian
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
ObjectiveTo explore the causal association between breakfast skipping and bone mineral density (BMD) through two-sample Mendelian randomisation (MR) analysis.MethodsA two-sample MR approach was adopted to explore the causal relationship of breakfast
Externí odkaz:
https://doaj.org/article/5beca56762c44b5e84b6764dedecfc21
Publikováno v:
Jisuanji kexue, Vol 49, Iss 5, Pp 159-164 (2022)
Traditional recommender systems usually focus on improving recommendation accuracy while neglecting the diversity of recommendation lists.However,several studies have shown that,users’ diversity needs also take an important part of their sa-tisfact
Externí odkaz:
https://doaj.org/article/d5dfef7d1e3c4ef5aedb4a05dfcc540f
Publikováno v:
Jixie qiangdu, Vol 44, Pp 1170-1178 (2022)
The working conditions of self-aligning bearings in rolling mills are complex. The actual life of the bearing often does not reach the design life as expected. Therefore, it is of great significance to study the global load distribution and local str
Externí odkaz:
https://doaj.org/article/5a1efd91168d4ce4a22461c34ba6ade9
Publikováno v:
Navigation, Vol 69, Iss 4 (2022)
High-precision positioning methods have drawn great attention in recent years due to the rapid development of smart vehicles as well as automatics driving technology. The Real-Time Kinematic (RTK) technique is a mature tool to achieve centimeter-leve
Externí odkaz:
https://doaj.org/article/04b478da179f4f5ca7b94c5743f28658
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4300 (2023)
With the widespread global application of BeiDou navigation, BeiDou B1C signaling based on Quadrature Multiplexed Binary Offset Carrier (QMBOC) modulation is expected to be extensively used in urban environments due to its wider signal bandwidth, sma
Externí odkaz:
https://doaj.org/article/daa260f0f94a4d7dbb612eb9a2866d40
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3883 (2023)
Airport detection in remote sensing scenes is a crucial area of research, playing a key role in aircraft blind landing procedures. However, airport detection in remote sensing scenes still faces challenges such as class confusion, poor detection perf
Externí odkaz:
https://doaj.org/article/3fdfc9891c974770bf7d867233691f7d