Zobrazeno 1 - 10
of 6 805
pro vyhledávání: '"Yuan Xin"'
Publikováno v:
电力工程技术, Vol 43, Iss 4, Pp 217-225 (2024)
Aiming to address the problems of high cost, large size and complex structure of the traditional back-to-back three-level converter, this paper proposes a new dual-port three-level converter topology. This new topology reduces the number of switching
Externí odkaz:
https://doaj.org/article/5ae6153e85c347f8a6a7356d3586594d
Publikováno v:
Materials & Design, Vol 244, Iss , Pp 113148- (2024)
The cornea is the main refractive element of the eye. Corneal transplantation is the foremost choice for addressing severe corneal diseases or trauma; however, corneal donors are difficult to meet the large clinical demand. Despite the clinical adopt
Externí odkaz:
https://doaj.org/article/d7973d6034424ef58322e81e36a9f39a
Autor:
Shabnam Anjum, Yulin Wang, Yuan Xin, Xiao Li, Ting Li, Hengtong Zhang, Liang Quan, Ya Li, Dilip Kumar Arya, P.S. Rajinikanth, Qiang Ao
Publikováno v:
Materials Today Bio, Vol 26, Iss , Pp 101088- (2024)
Osteogenic-osteoclast coupling processes play a crucial role in bone regeneration. Recently, strategies that focus on multi-functionalized implant surfaces to enhance the healing of bone defects through the synergistic regulation of osteogenesis and
Externí odkaz:
https://doaj.org/article/8758df3b685d42f2a38c0e25ec5559ab
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 1, Pp 1-27 (2024)
Abstract We study the chiral limit of 2d QCD with a single quark flavor at finite N c using LCT. By modifying the LCT basis according to the quark mass in a manner motivated by ’t Hooft’s analysis, we are able to restore convergence for quark mas
Externí odkaz:
https://doaj.org/article/eb1c42c1bdad4fabb37789c559b5a64e
Autor:
Colin Oscar Nancarrow, Yuan Xin
Publikováno v:
Journal of High Energy Physics, Vol 2023, Iss 8, Pp 1-30 (2023)
Abstract In this work we report on a new bootstrap method for quantum mechanical problems that closely mirrors the setup from conformal field theory (CFT). We use the equations of motion to develop an analogue of the conformal block expansion for mat
Externí odkaz:
https://doaj.org/article/b3208f5aa2da451a879a69701c5d38f3
Publikováno v:
Jixie qiangdu, Pp 838-844 (2023)
In order to improve the reliability of the front subframe of a front drive SUV, the strength and fatigue characteristics of the subframe under different working conditions are analyzed by comprehensively using the finite element method, multi-body dy
Externí odkaz:
https://doaj.org/article/04807d6c3ac1439ba8c9caed3d652f56
Publikováno v:
Jisuanji kexue, Vol 49, Iss 11, Pp 234-241 (2022)
To meet the needs of intensive computing and low latency,mobile edge computing pushes the service resources of cloud computing to the edge,where is closer to the terminal.The ground network faces challenges in scenarios such as complex terrain and eq
Externí odkaz:
https://doaj.org/article/392e8144811f4d4db6cfb70f47cc1d24
Autor:
Dongjie Zhang, Xuepeng Liu, Shiya Gao, Cheng Liu, Yuan Xin, Tongxin Wang, Mingye Zhang, Shouzheng Tong
Publikováno v:
Journal of Freshwater Ecology, Vol 38, Iss 1 (2023)
AbstractHydrological fluctuations are key abiotic stresses that influence plant growth and photosynthetic processes of wetland plants. However, the response mechanism of the plant characteristics and photosynthesis of Carex schmidtii, with respect to
Externí odkaz:
https://doaj.org/article/e3c934e80b014e578cf49ee5ae6f8a84
Autor:
Qiao Jiaqi, Zhou Juntong, Peng Congnan, Yuan Xin, Yao Li, Fan Yilin, Qi Kailin, Chen Dongliang, Guo Zhiying, Gan Xiaolong, Sun Yaxuan, Dai Xueling, Wu Guohao, Huo Qing
Publikováno v:
Open Chemistry, Vol 21, Iss 1, Pp 367-72 + 378 (2023)
The absorption, distribution, and transport trends of organic and inorganic arsenic (As) in honesuckle (Lonicera japonica) were studied using synchrotron X-ray fluorescence spectroscopy (μ-XRF). The root, stem, and leaf samples were analyzed by μ-X
Externí odkaz:
https://doaj.org/article/e7fa35f70f754ff9b07484683fba7ae8
This letter puts forth a new hybrid horizontal-vertical federated learning (HoVeFL) for mobile edge computing-enabled Internet of Things (EdgeIoT). In this framework, certain EdgeIoT devices train local models using the same data samples but analyze
Externí odkaz:
http://arxiv.org/abs/2410.01644