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A Study on the Influence of Subjective Exercise Experience on Exercise Persistence of the Elderly
Zijian Zhao,Xiuli Zhang,Yue Chen 아시아건강운동학회 2019 Journal of Asian Society for Health & Exercise Vol.1 No.1
PURPOSE: This paper explores the influence of subjective exercise experience on the persistence of exercise in the elderly in China, and helps to make decisions on how to further improve the persistence of the elderly group to participate in physical exercise. METHODS: The data is randomly collected from a sample of 100 elderly people engaged in physical exercise who were invited to participate in the interview and fill in questionnaires; and the data is processed and analyzed according to two scales, which are "Subjective Exercise Experience Scale" and "Exercise Adherence Scale" in various regions of Henan Province, China. RESULTS: The positive well-being dimensions in the subjective exercise experience of the elderly are positively correlated with the five dimensions of persistence, exercise interest, value judgment, cognitive choice and exercise effort in exercise persistence. There is a significant negative correlation between the psychological distress dimension and the persistence, exercise interest, value judgment, and cognitive choice dimensions in exercise persistence(p <0.01); fatigue dimension is significantly negative correlative with the persistence dimension (p < 0.05) of the exercise persistence; the subjective exercise experience of the elderly has a significant predictive power for their exercise persistence, but there are differences in the predictive power of the various dimensions of exercise persistence. CONCLUSIONS: Positive well-being can positively predict the five dimensions of exercise persistence; psychological distress can negatively predict persistence, exercise interest, value judgment and cognitive choice dimension in exercise persistence. Therefore, by improving positive well-being and reducing psychological annoyance, it can effectively improve the persistence of exercise for the elderly, and thus promote the healthy development of the elderly.
A Study on Creative Engagement Model in Online Music Concert
Zijian Zhu,Hyungsin Kim 한국HCI학회 2023 한국HCI학회 학술대회 Vol.2023 No.2
The evolution of technology has changed how audiences interact with concerts. The development of digital technology has provided a more personalized and refined engagement experience for users. This study analyzed the user engagement of virtual music concert/festival services. This study collects users perceived experiences during their participation in the virtual music concert through structured interviews. Meanwhile, this paper analyzes the influence of the users behavioral state, Perception of participation during the service. We find that users are more likely to participate in virtual concert formats on game platforms. We also improved the user engagement model based on Bilde’s engagement framework. Our study results can provide theoretical references and practical guidance for virtual concert managers and designers.
Zijian Lv,Qin Zhong,Yunfei Bu,Junpeng Wu 대한금속·재료학회 2016 ELECTRONIC MATERIALS LETTERS Vol.12 No.6
The morphology and electrical conductivity are essential toelectrochemical performance of electrode materials in renewableenergy conversion and storage technologies such as fuel cells andsupercapacitors. Here, we explored a facile method to growAg@nickel-cobalt layered double hydroxide (Ag@Ni/Co-LDHs) with3D flower-like microsphere structure. The results show themorphology of Ni/Co-LDHs varies with the introduction of Agspecies. The prepared Ag@Ni/Co-LDHs not only exhibits an openhierarchical structure with high specific capacitance but also showsgood electrical conductivity to support fast electron transport. Benefiting from the unique structural features, these flower-likeAg@Ni/Co-LDHs microspheres have impressive specific capacitanceas high as 1768 F g−1 at 1 A g−1. It can be concluded that engineeringthe structure of the electrode can increase the efficiency of the specificcapacitance as a battery-type electrode for hybrid supercapacitors.
Chloride diffusion in concrete associated with single, dual and multi cation types
Zijian Song,Linhua Jiang,Ziming Zhang 사단법인 한국계산역학회 2016 Computers and Concrete, An International Journal Vol.17 No.1
Currently, most of the investigations on chloride diffusion were based on the experiments and simulations concerning single cation type chlorides. Chloride diffusion associated with dual or multi cation types was rarely studied. In this paper, several groups of diffusion experiments are conducted using chloride solutions containing single, dual and multi cation types. A multi-ionic model is also proposed to simulate the chloride diffusion behavior in the experimental tests. The MATLAB software is used to numerically solve the nonlinear PDEs in the multi-ionic model. The experimental and simulated results show that the chloride diffusion behavior associated with different cation types is significantly different. When the single cation type chlorides are adopted, it is found that the bound rates of chloride ions combined with divalent cations are greater than those combined with monovalent cations. When the dual/multi cation type chlorides are adopted, the chloride bound rates increase with the Ca2+/Mg2+ percentage in the source solutions. This evidence indicates that the divalent cations would markedly enhance the chloride binding capacity and reduce the chloride diffusivity. Moreover, on the basis of the analysis, it is also found that the complicated cation types in source solutions are beneficial to reducing the chloride diffusivity.
Zijian Song,Huanchun Cai,Qingyang Liu,Linhua Jiang,Hongqiang Chu 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.111 No.-
In this study, an ultrasound-assisted enzymatic extraction (UEE) method was proposed to augment theanti-corrosion performance of the green inhibitor extracted from waste Platanus acerifolia leaves. Chemical compositions and anticorrosive properties of UEE extract were characterized via multiple technologies. The adsorption film on the steel surface was characterized via X-ray photoelectron spectroscopy(XPS). The surface information of corroded steel was also analyzed. Results showed that, compared withthe ultrasound-assisted alkali extraction (UAE), UEE increased the utilization rate of raw plant materialsby 22%39%. After optimized via response surface methodology, the maximum yield of UEE extract couldreach 27.081 mg/g. Electrochemical results showed, compared with 3% UAE extract, the inhibition efficiencyof 3% UEE extract after 72 h in 0.5 M NaCl was increased by 22% while the extraction time wassaved by 90%. Microscopic observations also proved that UEE extract can effectively mitigate the corrosiondegree where the roughness of steel surface decreased by 63.67%. XPS results revealed that a carbonaceousprotecting layer was formed on steel surfaces. The inhibition mechanism analysis suggestedthat flavonoids and their derivatives were apt to adsorb on the steel surface via chelation and surfacephysical adsorption, which could block the pathway of chloride attack.
A comprehensive study on active Lamb wave-based damage identification for plate-type structures
Zijian Wang,Pizhong Qiao,Binkai Shi 국제구조공학회 2017 Smart Structures and Systems, An International Jou Vol.20 No.6
Wear and aging associated damage is a severe problem for safety and maintenance of engineering structures. To acquire structural operational state and provide warning about different types of damage, research on damage identification has gained increasing popularity in recent years. Among various damage identification methods, the Lamb wave-based methods have shown promising suitability and potential for damage identification of plate-type structures. In this paper, a comprehensive study was presented to elaborate four remarkable aspects regarding the Lamb wave-based damage identification method for plate-type structures, including wave velocity, signal denoising, image reconstruction, and sensor layout. Conclusions and path forward were summarized and classified serving as a starting point for research and application in this area.
Evaluation on direct aqueous carbonation of industrial/mining solid wastes for CO2 mineralization
Zijian Li,Jie Chen,Zongze Lv,Yichao Tong,Jingyu Ran,Changlei Qin 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.122 No.-
Carbonation of industrial alkaline resources can achieve dual effects of CO2 sequestration and solid wastemanagement, and the carbonated product may act as a potential cementitious backfill material. Based onthis idea, CO2 mineralization characteristics and potential of typical industrial solid wastes, mine tailingsand their mixtures are investigated by direct aqueous carbonation, and effects of reaction parameters,including particle size, reaction temperature, solid-to-liquid ratio, CO2 concentration, are systematicallyexplored. Results show that industrial solid wastes with a high Ca content such as carbide slag have bettercarbonation activity with the maximum CO2 sequestration capacity of 544.6 g-CO2/kg, while the carbonationof mine tailings is very weak. The combination of coal fly ash with tailings has a potentialstimulative effect during carbonation. Moreover, influences of carbonation parameters are revealed inthis study, and optimal reaction parameters are determined to be particle size below 75 lm, temperatureof 60 C, solid-to-liquid ratio of 100 g/L, and CO2 concentration of 15% within mild range. These resultscan provide fundamental knowledge for the integrated CO2 mineralization and goaf backfilling, andaccelerate carbon reduction and waste resource utilization.
Zijian Zhu,Pengyu Cai,Younghwan Pan 한국HCI학회 2024 한국HCI학회 학술대회 Vol.2024 No.1
This study aims to understand the unique characteristics and needs of different usergenerated content (UGC) groups, including unskilled, single-skilled and multi-skilled individuals using authoring tools. Using interviews, our research focuses on their psychological motivations and behavioral patterns when using AI-powered content creation. We explored the specific role of AI in the creative process of UGC and its wideranging impact on the ideation, design and implementation stages through field observations and in-depth interviews. Furthermore, we address the impact of generative AI on creatives of different skill levels and its influence on the quality, diversity, and innovativeness of content by exploring the changes and challenges that AI-human collaboration will bring across the creative ecosystem. This study highlights the subtle differences in the integrated application of AI across different creative fields and underscores the profound impact on a diverse population of creatives committed to providing comprehensive insight into the evolving process of UGC creation.