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Lu Dezhi,Yang Yang,Zhang Pingping,Ma Zhenjiang,Li Wentao,Song Yan,Feng Haiyang,Yu Wenqiang,Ren Fuchao,Li Tao,Zeng Hong,Wang Jinwu 한국조직공학과 재생의학회 2022 조직공학과 재생의학 Vol.19 No.6
Spinal cord injury (SCI) is a disabling and destructive central nervous system injury that has not yet been successfully treated at this stage. Three-dimensional (3D) bioprinting has become a promising method to produce more biologically complex microstructures, which fabricate living neural constructs with anatomically accurate complex geometries and spatial distributions of neural stem cells, and this is critical in the treatment of SCI. With the development of 3D printing technology and the deepening of research, neural tissue engineering research using different printing methods, bio-inks, and cells to repair SCI has achieved certain results. Although satisfactory results have not yet been achieved, they have provided novel ideas for the clinical treatment of SCI. Considering the potential impact of 3D bioprinting technology on neural studies, this review focuses on 3D bioprinting methods widely used in SCI neural tissue engineering, and the latest technological applications of bioprinting of nerve tissues for the repair of SCI are discussed. In addition to introducing the recent progress, this work also describes the existing limitations and highlights emerging possibilities and future prospects in this field.
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A Conflict Detection Method Based on Constraint Satisfaction in Collaborative Design
Kangkang Yang,Shijing Wu,Wenqiang Zhao,Lu Zhou 한국정보과학회 2015 Journal of Computing Science and Engineering Vol.9 No.2
Hierarchical constraints and constraint satisfaction were analyzed in order to solve the problem of conflict detection in collaborative design. The constraints were divided into two sets: one set consisted of known constraints and the other of unknown constraints. The constraints of the two sets were detected with corresponding methods. The set of the known constraints was detected using an interval propagation algorithm, a back propagation (BP) neural network was proposed to detect the set with the unknown constraints. An immune algorithm (IA) was utilized to optimize the weights and the thresholds of the BP neural network, and the steps were designed for the optimization process. The results of the simulation indicated that the BP neural network that was optimized by IA has a better performance in terms of convergent speed and global searching ability than a genetic algorithm. The constraints were described using the eXtensible Markup Language (XML) for computers to be able to automatically recognize and establish the constraint network. The implementation of the conflict detection system was designed based on constraint satisfaction. A wind planetary gear train is taken as an example of collaborative design with a conflict detection system.
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A Conflict Detection Method Based on Constraint Satisfaction in Collaborative Design
Yang, Kangkang,Wu, Shijing,Zhao, Wenqiang,Zhou, Lu Korean Institute of Information Scientists and Eng 2015 Journal of Computing Science and Engineering Vol.9 No.2
Hierarchical constraints and constraint satisfaction were analyzed in order to solve the problem of conflict detection in collaborative design. The constraints were divided into two sets: one set consisted of known constraints and the other of unknown constraints. The constraints of the two sets were detected with corresponding methods. The set of the known constraints was detected using an interval propagation algorithm, a back propagation (BP) neural network was proposed to detect the set with the unknown constraints. An immune algorithm (IA) was utilized to optimize the weights and the thresholds of the BP neural network, and the steps were designed for the optimization process. The results of the simulation indicated that the BP neural network that was optimized by IA has a better performance in terms of convergent speed and global searching ability than a genetic algorithm. The constraints were described using the eXtensible Markup Language (XML) for computers to be able to automatically recognize and establish the constraint network. The implementation of the conflict detection system was designed based on constraint satisfaction. A wind planetary gear train is taken as an example of collaborative design with a conflict detection system.
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A High Performance Solar-Blind Detector Based on Mixed-Phase Zn0.45Mg0.55O Alloy Nanowires Network
Sai Ma,Shuanglong Feng,Shuai Kang,Feng Wang,Xie Fu,Wenqiang Lu 대한금속·재료학회 2019 ELECTRONIC MATERIALS LETTERS Vol.15 No.3
The mixed-phase Zn 0.45 Mg 0.55 O alloy nanowires network was fi rstly synthesized on SiO 2 /Si substrate by chemical vapordeposition method. The metal–semiconductor–metal structured Zn 0.45 Mg 0.55 O nanowires solar-blind photodetector with asharp absorption peak of wavelength 245 nm was fabricated, which exhibited an ultra-low dark current (0.2 nA), a high on–offratio (2.85 × 10 3 ), a large peak responsivity (0.48 A/W) at 6 V bias, and a high external quantum effi ciency (234.2%). Thisexcellent performance is comparable with other ZnMgO thin fi lm UV photodetectors. Moreover, the detection mechanism ofthis photodetector is explained by the modifi cations in energy band diagrams of diff erent nanojunctions among Zn 0.45 Mg 0.55 Onanowires and heterojunction interfaces between wurtzite and cubic structured ZnMgO in mixed-phase Zn 0.45 Mg 0.55 Onanowire. It is found that nanojunctions and heterojunction interfaces could be responsible for a low dark current and highresponsivity of this device based on mixed-phase Zn 0.45 Mg 0.55 O nanowire materials. This work reveals that the distinctiveadvantages of mixed-phase ZnMgO nanowires network for ultraviolet optoelectronic detection applications.
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