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Your search keyword '"Wang, Jingxuan"' showing total 40 results
Start Over Author "Wang, Jingxuan" Publisher springer science and business media llc
40 results on '"Wang, Jingxuan"'

3. Prognosis of LSPD versus TIPS for the treatment of esophagogastric variceal bleeding in cirrhosis

Author

Chen, Biao, primary, Wang, Jingxuan, additional, Sheng, Weiyong, additional, Ma, Bingqing, additional, Xu, Peng, additional, Cheng, Xing, additional, Cheng, Weiyi, additional, Cai, Chengjun, additional, Wang, Guoliang, additional, Pan, Wenming, additional, Wan, Chidan, additional, Zheng, Chuansheng, additional, Cheng, Ping, additional, and Zhang, Jinxiang, additional

Published
2024
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6. Disturbance of plateau zokor-made mound stimulates plant community regeneration in the Qinghai-Tibetan Plateau, China

Author

WU Weifeng, Zhou SaiXia, Tang Zhongbin, Zhang Jiaxin, Peng Yansong, David Gallacher, Xiang Zeyu, Wang Jingxuan, and Arvind Bhatt

Subjects
geography, Plateau, geography.geographical_feature_category, Disturbance (geology), biology, Ecology, Plant community, Management, Monitoring, Policy and Law, biology.organism_classification, Qinghai tibetan plateau, Environmental science, Zokor, China, Regeneration (ecology), Earth-Surface Processes, Water Science and Technology
Published
2021

10. Progressive Collapse Mechanism Analysis of Concrete-Filled Square Steel Tubular Column to Steel Beam Joint with Bolted–Welded Hybrid Connection

Author

Wei Xian, Wang Jingxuan, Yang Yong, and Li Qiuying

Subjects
Materials science, business.industry, 020101 civil engineering, Progressive collapse, 02 engineering and technology, Structural engineering, Welding, 0201 civil engineering, law.invention, 020303 mechanical engineering & transports, 0203 mechanical engineering, law, Solid mechanics, Catenary, Vertical displacement, Bearing capacity, business, Joint (geology), Beam (structure), Civil and Structural Engineering
Abstract

When vertical load-bearing members of building structures are subjected to accidental loadings, such as an earthquake, fire or explosion, the remaining structure chiefly relies on the beam mechanism and catenary mechanism of the steel beam as the main resistance capacity, to prevent local or large-scale progressive collapse. This paper presents a three-dimensional finite element model of concrete-filled square steel tubular (CFST) column to steel beam joint with bolted–welded hybrid connection in a middle-column-removal scenario using ABAQUS software. The multi-scale modeling method was employed to calculate the collapse resistance and mechanism under vertical load. The vertical displacement and bearing capacity curve of the middle failure column was calculated and analyzed. The collapse mechanism and bearing capacity contribution of the steel beam tying in different directions are also discussed. Results indicate that the failure mechanism of the process includes the beam mechanism, the translation mechanism, the catenary mechanism and the failure stage. After the short-span steel beam had been destroyed, the long-span steel beam continued to provide collapse resistance capacity. To improve progressive collapse resistance, the CFST column to steel beam joint with welded haunch is proposed in this paper. Comparing the anti-collapse bearing capacity and failure characteristics of the joint with the welded haunch and common joint indicates that the anti-collapse capacity of the joint with welded haunch can be improved, and the research results can be referenced for engineering progressive collapse design.

Published
2020

13. Tunable luminescence and energy transfer properties based on La2O3-P2O5:Dy3+/Tm3+ glasses

Author

Tao Zhang, Xin Yifan, Libo Yuan, Xin Wang, and Wang Jingxuan

Subjects
Materials science, Energy transfer, Doping, Analytical chemistry, Condensed Matter Physics, Fluorescence, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Photodiode, law.invention, Ion, Phosphate glass, law, Electrical and Electronic Engineering, Luminescence, Excitation
Abstract

The white-LED material Dy3+/Tm3+ co-doped phosphate glass was prepared by a conventional melting method. The energy transfer in the two rare earth ions was supposed by changing the concentration of one doping ion and was further demonstrated by the fluorescence lifetime. The energy level transition mechanism between the rare earth ions was analyzed using the Inokuti–Hirayama theory. There were two kinds of energy transfer mechanisms from the dipole–quadrupole interaction (Dy3+ → Tm3+) and the quadrupole–quadrupole interaction (Tm3+→Dy3+). The luminescence color was tuned from a blue to a near standard white light emission using 350 nm excitation and adjusting the rare earth ion doping ratio. The results show that 15La2O3-85P2O5:xDy2O3-yTm2O3 glass is a promising UV-excited white photodiode material.

Published
2019

18. Rab22a-NeoF1 fusion protein promotes osteosarcoma lung metastasis through its secretion into exosomes

Author

Zhong, Li, primary, Liao, Dan, additional, Li, Jingjing, additional, Liu, Wenqiang, additional, Wang, Jingxuan, additional, Zeng, Cuiling, additional, Wang, Xin, additional, Cao, Zhiliang, additional, Zhang, Ruhua, additional, Li, Miao, additional, Jiang, Kuntai, additional, Zeng, Yi-Xin, additional, Sui, Jianhua, additional, and Kang, Tiebang, additional

Published
2021
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25. Parametric study of control mechanism of cortical bone remodeling under mechanical stimulus

Author

Shao Xinqing, Feng Quan, Wang JingXuan, and Wang YuTong

Subjects
Forage (honey bee), Artificial neural network, Computer science, business.industry, Mechanical Engineering, Computational Mechanics, Process (computing), Image processing, Pattern recognition, Backpropagation, Moment (mathematics), Probabilistic neural network, Pattern recognition (psychology), Artificial intelligence, business
Abstract

Traditionally,measure and species classification of plants are implemented by human experts,which is time-consuming and inefficient.In recent years,information technology including image processing and pattern recognition has been introduced into plant classification.Compared with flowers with 3D structures,leaves are easier to process by computer due to their 2D structures.This paper introduces a method of classifying plants of leguminous forage based on the leave shape features.Firstly,pre-processing method is used to extract the contour of a leaf.Then global and local features of the leaf shape are extracted.The global features include eight geometric features such as axis ratio,rectangularity,circularity,etc,and seven moment invariants.Roughness of leaf edge is selected as the local features.Finally,probabilistic neural network(PNN) and back propagation network(BPN) are applied to constructing classifiers.The experimental results show that the recognition rate of PNN and BPN is 85.1% and 82.4% respectively.

Published
2009

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