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Yongqiang Zhang,Yanlei Gao,Xiang Li,Duchun Wang 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.11
In recent years, with the rapid development of internet technology, enterprise business model has entered a new century. The emergence of network economy has forced retail enterprises to change the original marketing mode, global information resources can be shared instantly, which greatly improve the operational efficiency and reduce the cost. In this paper, we analyze the influence factors that impact on retail enterprises based on consumers online shopping behavior, survey data from small and medium enterprises. The result shows that macro environment factors, market competition, enterprise self factors will affect the enterprise's e-commerce performance, and significantly promote the enterprise's market strategy innovation. Therefore, it is an important way to improve the competitiveness of enterprises by carrying out the E-business market strategy.
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Zhiwei Jiao,Linjie Zhou,Mengyuan Wu,Kang Gao,Yanlei Su,Zhongyi Jiang 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.12
Inspired by the specific amino acid sequence Asn-Pro-Ala (NPA) of water channel aquaporins (AQPs), we fabricated polyamide (PA) nanofiltration (NF) membranes by introducing reduced glutathione (GSH) in interfacial polymerization (IP) method. Fourier transform infrared spectroscopy (ATR-FTIR), X-ray photoelectron spectrometry (XPS), scanning electron microscope (SEM), atomic force microscopy (AFM), zeta potential and static water contact angle measurement were employed to characterize the chemical composition, morphology, electronegativity and hydrophilicity of the NF membranes. The water flux of GSH/PIP-TMC NF membrane reached 32.00 L m2 h1 at 0.2MPa, which was approximately twice than that of pristine PIP-TMC NF membrane when the ratio of GHS to piperazidine (PIP) was 40% during IP process. More water channels were built as GSH was embedded into PA layer. The fabricated NF membranes also took on potent rejection for dyes and Na2SO4. This study presents a simple and facile method to simulate water channels-based biological materials which may find potential application in water treatment.
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Ning Feng,Zhao Jing,Zhang Lei,Wang Weijing,Sun Xiaohui,Song Xin,Zhang Yanlei,Xin Hualei,Gao Weiguo,Gao Ruqin,Zhang Dongfeng,Pang Zengchang 한국영양학회 2023 Nutrition Research and Practice Vol.17 No.4
BACKGROUND/OBJECTIVES: This study examined the relationship between famine exposure in early life and the risk of type 2 diabetes in adulthood during the 1959–1961 Chinese Famine. SUBJECTS/METHODS: A total of 3,418 individuals aged 35–74 years free of diabetes from two studies in 2006 and 2009 were followed up prospectively in 2009 and 2012, respectively. Famine exposure was classified as unexposed (individuals born in 1962–1978), fetal exposed (individuals born in 1959–1961), child exposed (individuals born in 1949–1958), and adolescent/adult exposed (born in 1931–1948). A logistic regression model was used to assess the relationship between famine exposure and diabetes after adjustment for potential covariates. RESULTS: During a three-year follow-up, the age-adjusted incidence rates of type 2 diabetes were 5.7%, 14.5%, 12.7%, and 17.8% in unexposed, fetal-exposed, child-exposed, and adolescent/adult-exposed groups, respectively (P < 0.01). Relative to the unexposed group, the relative risks (95% confidence inter val) for diabetes were 2.15 (1.29–3.60), 1.53 (0.93– 2.51), and 1.65 (0.75–3.63) in the fetal-exposed, child-exposed, and adolescent/adult-exposed groups, after controlling for potential covariates. The interactions between famine exposure and obesity, education level, and family histor y of diabetes were not obser ved, except for the urbanization type. Individuals living in rural areas with fetal and childhood famine exposure were at a higher risk of type 2 diabetes, with relative risks of 8.79 (1.82–42.54) and 2.33 (1.17–4.65), respectively. CONCLUSIONS: These findings indicate that famine exposure in early life is an independent predictor of type 2 diabetes, particularly in women. Early identification and inter vention may help prevent diabetes in later life.
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