Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Chuang Zhu"'
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The wind speed varies randomly over a wide range, causing the output wind power to fluctuate in large amplitude. An isobaric adiabatic compressed air energy storage system using a cascade of phase-change materials (CPCM-IA-CAES) is proposed to cope w
Externí odkaz:
https://doaj.org/article/d30a1896865747909b9a381fa0441158
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 6, Pp 1200-1219 (2023)
Abstract In the subject of traffic microsimulation model (TMM) calibration, measure of performance (MoP) plays an essential role. However, due to the diversity of MoP types, choosing a MoP or MoP combination (usually used for multi‐criteria calibra
Externí odkaz:
https://doaj.org/article/e826030f1daa43d2a4b3ce943abcbf26
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 8, Pp n/a-n/a (2023)
Abstract Over the last decade, the rapid development of wearable electronics has generated renewed interest in textiles. The integration of advanced nanotechnology and microelectronics with well‐established textile production processes has resulted
Externí odkaz:
https://doaj.org/article/29f6166288614c8592a32d58f0d4e159
Publikováno v:
Micromachines, Vol 14, Iss 12, p 2241 (2023)
This paper studies the radial alternating material phononic crystal (RAM-PnC). By simulating the band gap structure of the phononic crystal, a complete acoustic band gap was verified at the resonant frequency of 175.14 MHz, which can prevent the prop
Externí odkaz:
https://doaj.org/article/a517e3943d6841aeb8dd63eda171150e
Publikováno v:
Micromachines, Vol 15, Iss 1, p 20 (2023)
In this paper, a multi-material radial phononic crystal (M-RPC) structure is proposed to reduce the anchor-point loss of piezoelectric micro-electro-mechanical system (MEMS) resonators and improve their quality factor. Compared with single-material p
Externí odkaz:
https://doaj.org/article/723d173f398a467689e0ae9e673c31b2
Autor:
Feng Xu, Chuang Zhu, Zhihao Wang, Lei Zhang, Haifeng Gao, Zhenhai Ma, Yue Gao, Yang Guo, Xuewen Li, Yunzhao Luo, Mengxin Li, Guangqian Shen, He Liu, Yanshuang Li, Chao Zhang, Jianxiu Cui, Jie Li, Hongchuan Jiang, Jun Liu
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
ObjectiveAs a common breast cancer-related complaint, pathological nipple discharge (PND) detected by ductoscopy is often missed diagnosed. Deep learning techniques have enabled great advances in clinical imaging but are rarely applied in breast canc
Externí odkaz:
https://doaj.org/article/9b23dcc48aca47d0913a5ee2acac7c98
Publikováno v:
IET Image Processing, Vol 15, Iss 12, Pp 2818-2832 (2021)
Abstract Ischemic stroke is the most common stroke and the leading cause of disability and death in the world. Computed tomography (CT) is a popular and economical diagnostic device for the stroke, However the ischemic stroke lesions are not evident
Externí odkaz:
https://doaj.org/article/00b3e98bbec4402fb2c0d76e02de37f0
Publikováno v:
Intelligent Medicine, Vol 1, Iss 2, Pp 70-79 (2021)
Background The prevalence of thyroid cancer is growing rapidly. Early and precise diagnosis is critical in thyroid cancer caring. An automatic thyroid cancer diagnostic tool can be valuable to achieve early detection and diagnostic consistency. Only
Externí odkaz:
https://doaj.org/article/5c5c03bedf704d459a085b0ed6e9344a
Autor:
Hai Wang, Yuxiao Chen, Wei Zhao, Haolin Liu, Hongtao Tu, Zhongyou Xia, Rui Wang, Jinze Tang, Chuang Zhu, Rui Li, Xiaodong Liu, Peng Gu
Publikováno v:
Journal of Clinical Medicine, Vol 12, Iss 6, p 2243 (2023)
Glutamine has been recognized as an important amino acid that provide a variety of intermediate products to fuel biosynthesis. Glutamine metabolism participates in the progression of the tumor via various mechanisms. However, glutamine-metabolism-ass
Externí odkaz:
https://doaj.org/article/d4b7a42ca634482bb69619061da6c680
Publikováno v:
IEEE Access, Vol 8, Pp 64064-64074 (2020)
With the increasing cases of thyroid malignant tumors, the diagnosis of thyroid nodule has attracted more and more attention. Deep learning has achieved promising results in computer-aided diagnosis due to the advantages of obtaining high-dimensional
Externí odkaz:
https://doaj.org/article/dbd52d47ac5f4a0785a84a824086d395