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| 1 | Solution blowing of submicron-scale cellulose fibers显示文摘 | Xupin Zhuang Xiaocan Yang Lei Shi Bowen Cheng Ketian Guan Weimin Kang | 2012 | Carbohydrate Polymers2012，，2： | 1 |
| 2 | 显示文摘 | Li Zhi Zhuang Xupin Liu Xiaofei | 2002 | Polymer2002，43，4： | 1 |
| 3 | Integrating of metal-organic framework UiO-66-NH2 and cellulose nanofibers mat for high-performance adsorption of dye rose bengal显示文摘UiO-66-NH2 is an efficient material for removing pollutants from wastewater due to its high specific surface area,high porosity and water stability.However,recycling them from wastewater is difficult.In this study,the cellulose nanofibers mat deacetylated from cellulose acetate nanofibers were used to combine with UiO-66-NH_(2)by the method of in-situ growth to remove the toxic dye,rose bengal.Compared to previous work,the prepared composite could not only provide ease of separation of UiO-66-NH_(2)from the water after adsorption but also demonstrate better adsorption capacity(683 mg∙g‒1(T=25°C,pH=3))than that of the simple UiO-66-NH_(2)(309.6 mg∙g^(‒1)(T=25℃,pH=3)).Through the analysis of adsorption kinetics and isotherms,the adsorption for rose bengal is mainly suitable for the pseudo-second-order kinetic model and Freundlich model.Furthermore,the relevant research revealed that the main adsorption mechanism of the composite was electrostatic interaction,hydrogen bonding andπ–πinteraction.Overall,the approach depicts an efficient model for integrating metal-organic frameworks on cellulose nanofibers to improve metal-organic framework recovery performance with potentially broad applications. | Yuyao Han Lei Xia Xupin Zhuang Yuxia Liang | 2022 | Frontiers of Chemical Science and Engineering2022，16，9： | 0 |
| 4 | What Contributes to a Crowdfunding Campaign’s Success?Evidence and Analyses from GoFundMe Data显示文摘Researchers have attempted to measure the success of crowdfunding campaigns using a variety of determinants,such as the descriptions of the crowdfunding campaigns,the amount of funding goals,and crowdfunding project characteristics.Although many successful determinants have been reported in the literature,it remains unclear whether the cover photo and the text in the title and description could be combined in a fusion classifier to better predict the crowdfunding campaign’s success.In this work,we focus on the performance of the crowdfunding campaigns on GoFundMe across a wide variety of funding categories.We analyze the attributes available at the launch of the campaign and identify attributes that are important for each category of the campaigns.Furthermore,we develop a fusion classifier based on the random forest that significantly improves the prediction result,thus suggesting effective ways to make a campaign successful. | Xupin Zhang Hanjia Lyu Jiebo Luo | 2021 | Journal of Social Computing2021，2，2： | 0 |
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