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- 저자 : Xiaoyin Wu (검색결과 3 건)
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董高志(Gaozhi Dong),余嘉祺(Jiaqi Yu),罗小茵(Xiaoyin Luo),吴晓茵(Xiaoyin Wu),吴钧埔(Junpu Wu),罗云(Yun Luo) YIXIN 출판사 2023 教育教学研究论丛 Vol.1 No.5
本研究采用大学生手机成瘾倾向量表、大学生学习投入量表、心理弹性量表简版和延迟满足量表对610 名大学生施测,旨在考察数字化转型背景下大学生手机依赖对学习投入的影响,以及心理弹性和延迟满足在其中的中介作用。研究发现:大学生手机依赖、学习投入、心理弹性与延迟满足两两显著相关;心理弹性和延迟满足分别在手机依赖与学习投入之间起中介作用;心理弹性和延迟满足在大学生手机依赖和学习投入间起链式中介作用。手机依赖不仅可以直接影响大学生的学习投入,还可以通过心理弹性和延迟满足间接影响大学生的学习投入。 This study tested 610 college students using the mobile phone addiction tendency scale, the college student learning engagement scale, the simplified version of the psychological resilience scale, and the delayed gratification scale. The aim was to examine the impact of mobile phone dependence on learning engagement among college students in the context of digital transformation, as well as the mediating role of psychological resilience and delayed gratification. Research has found that there is a significant correlation between mobile phone dependence, learning engagement, psychological resilience, and delayed gratification among college students; Psychological resilience and delayed gratification respectively mediate the relationship between mobile phone dependence and learning engagement; Psychological resilience and delayed gratification play a chain mediating role between mobile phone dependence and learning engagement among college students. Mobile phone dependence not only directly affects the learning engagement of college students, but also indirectly affects their learning engagement through psychological resilience and delayed gratification.
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An Improved PSO Algorithm Based CommunityTopic Refinement Strategy for Social Network
Lin Cui,Caiyin Wang,Xiaoyin Wu 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.1
Aiming at the division roughness of topic classification existing in the most online social networks community, the improved particle swarm optimization algorithm is applied to refine community topics and concepts of community seeds and community topic are also introduced. In this paper, first of all, the explicit links existing in the community are mined, and the basic community structure is constructed, then the community content is deeply analyzed, according to implicit feature between nodes under online community, community topic categories are elaborately refined until structure is stable. Experiments show that this proposed algorithm can accelerate the convergence of the node and greatly improves the topic mining accuracy of online social network compared with the state-of-art CR2NDAS model and PLSA model.
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UV-crosslinked Solution Blown PVDF Nanofiber Mats for Protective Applications
Ya Liu,Xueming Wang,Nana Li,Xiaoyin Wang,Lei Shi,Enjie Wu,Rui Wang,Mingjing Shan,Xupin Zhuang 한국섬유공학회 2020 Fibers and polymers Vol.21 No.3
Nanofiber mats have received considerable attention from researchers in the field of particulate protection. In thisstudy, polyvinylidene fluoride (PVDF) nanofiber mats were prepared on a large scale by a solution blowing process, and thencrosslinked by ultraviolet (UV)-radiation using trimethylolpropane tri-acrylate (TMPTA) as a crosslinker. The structure,morphology, mechanical and thermal properties, and protective performance of the nanofiber mats were evaluated. Resultsshow that the addition of TMPTA and UV treatment decreased the diameter of the nanofibers and enhanced the mechanicalproperties, air permeability, and moisture permeability. Nanofiber mats show higher filtration and lower filtration resistancecompared with a commercial product. Furthermore, the nanofiber mats were bonded with Nylon 6 fabric, which showedgood performance as a novel functional layer in protective clothing.
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