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Hongqiu Wang,Rong Liu,Jun Rong Yu,Jing Zhu,Yan Wang,Zu Ming Hu 한국섬유공학회 2022 Fibers and polymers Vol.23 No.7
Even though many efforts about the preparation of ultra-high molecular weight polyethylene (UHMWPE) fibershave been reported since last century, the spinning technology of high solution concentration UHMWPE fibers was stillpursued by many researchers and industry members. Not only because solution concentration is a key factor that significantlyinfluences the structure and properties of gel-spun UHMWPE fibers, but also because the high concentration UHMWPEspinning technology could greatly improve the production efficiency and reduce the spinning cost. In this study, highabrasion resistance UHMWPE fibers were prepared via gel-spinning with UHMWPE solution concentration of 8-16 wt%,subsequently extracting, drying and ultra-drawing. The effects of solution concentration on the fiber solvent phase separation,crystallization properties, abrasion resistance properties and mechanical capacities were investigated in detail. The resultsindicated that increasing solution concentration can reduce the time to reach phase separation equilibrium state that couldefficiently shorten the productive time; meanwhile, the abrasion resistance of the fibers was also significantly improved.
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Factors Influencing the Adoption of Cloud Computing in Healthcare Organizations: A Systematic Review
Hong Qiu,Beimin Shen,Yuhao Wang,Yu Mei,Wenjie Gu 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.12
To analyze and compare the most influencing factors on cloud computing adoption (CCA) in the healthcare organization, a systematic review and meta-analyses of studies was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Cochrane collaboration recommendations. A search of PubMed, ScienceDirect, Springer, Wiley Online, and Taylor & Francis Online digital libraries (From inception to January 19, 2022) was performed. A total of 17 studies met the defined studies’ inclusion and exclusion criteria. Statistical significance difference favoring most influencing factors on CCA were (MD 0.76, 95% CI -1.48 – 3.01, p <0.00001, I2 = 90%), (MD 1.40, 95% CI -4.76 – 7.55, p < 0.00007, I2 = 97%) (MD 0.17, 95% CI -2.69 – 3.03, p<0.00001, I2 = 96%) for technology vs. organizational, technology vs. environmental and business vs. human factors, respectively. Organizational and environmental factors had greater impacts on CCA compared with technological factors. Moreover, business factors were more influential than the human factors.
ScienceON
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