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        Surface plasmon resonance-enhanced solar-driven photocatalytic performance from Ag nanoparticles-decorated Ti3+ self-doped porous black TiO2 pillars

        Guo Zhou,Haiyan Meng,Yan Cao,Xuejun Kou,Shuxiang Duan,Leilei Fan,Ming Xiao,Fangzhou Zhou,Zhenzi Li,Zipeng Xing 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.64 No.-

        The tiny Ag nanoparticles-uniformly decorated Ti3+ self-doped porous black TiO2 pillars (Ag-TPBTPs) are prepared, which show obvious surface plasmon resonance (SPR) and extend the photoresponse to visible light and near-infrared region (∼1500 nm). The Ag-TPBTPs exhibit excellent solar-driven photocatalytic activities by mineralizing of high-toxic 2,4-dichlorophenol (∼99%), which is three times higher than that of the pristine TiO2. The remarkable solar-driven photocatalytic performance can be ascribed to the porous pillars structure offering more surface active sites, the self-doped Ti3+ and SPR effect of Ag nanoparticles improving the utilization of solar light, and enhancing the spatial separation efficiency of photogenerated charge carriers.

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        Classification of Motor Imagery Tasks for Electrocorticogram Based Brain-Computer Interface

        Fangzhou Xu,Weidong Zhou,Yilin Zhen,Qi Yuan 대한의용생체공학회 2014 Biomedical Engineering Letters (BMEL) Vol.4 No.2

        Purpose In the present study, we propose a novel schemefor motor imagery (MI) classification of multichannelelectrocorticogram (ECoG) recordings from patients withmedically intractable focal epilepsy. Methods This scheme proposes a combination of the twofeatures which includes autoregressive (AR) model coefficientsand local binary pattern (LBP) operators. It can providespatial resolution and angular space information. Then thegradient boosting (GB) in conjunction with ordinary leastsquares (OLS) algorithm is employed as the classifier toimprove the performance of MI classification for ECoGbased Brain Computer Interface (BCI) system. Results Experimental results on the BCI Competition IIIdata set I indicate that the novel method has excellentperformance and yields a cross-validation accuracy of 88.8%and accuracy of 93%, respectively. Conclusions From the experimental results and comparativestudies, we can infer that the scheme may serve as a good MIclassification tool for a better tradeoff between the classificationaccuracy and computational complexity.

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        Experimental Study and Degradation Analysis on Interfacial Shear Modulus of Steel and Steel Fiber-Reinforced Concrete Composite Structure

        Kai Wu,Shiyuan Qian,Huiming Zheng,Yukai Zhou,Fangzhou Guo 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.8

        To address the problems of mutual interference between shaped steel and reinforcement bars and the difficulty of concrete pouring in the construction of steel-reinforced concrete (SRC) composite structure, the steel and steel fiber-reinforced concrete (SSFRC) composite structure without rebars was proposed. Bond behavior between the shaped steel and steel fiber reinforced concrete is the basis to ensure two kinds of materials work together. 20 square specimens were designed and tested by push-out test to study the bond performance and shear modulus of the interface between the shaped steel and steel fiber reinforced concrete. The effects of steel fiber ratio (ρsf), embedded length (Le), and concrete cover thickness (Css) on the interfacial shear modulus (G) were analyzed quantitatively. The degradation law of G was studied by defining the degradation variable of interfacial shear modulus (Da). The results show that the increase of ρsf contributes to the ascent in G, and the loading end displacement (D) at the end of degradation related to G also increase. With the rise of Le, the value of Gdecreases gradually and the D becomes larger when G starts to deteriorate. In addition, there is a positive correlation between G and Css. Besides, the higher Css leads to a slower degradation process of G.

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        Crosslinked Ionic Alginate and Cellulose-based Hydrogels for Photoresponsive Drug Release Systems

        Fang Zhou,Shaohua Wu,Chris Rader,Jianwei Ma,Shaojuan Chen,Xiaoyan Yuan,E Johan Foster 한국섬유공학회 2020 Fibers and polymers Vol.21 No.1

        In this work, photosensitive alginate and cellulose-based hydrogels with interpenetrating polymer networks weresuccessfully prepared from alginate, TEMPO-oxidized cellulose nanofibers (TEMPO-CNFs) and polyacrylamide,crosslinked by both Fe3+ and N,N'-methylenebis-acrylamide. The obtained hydrogels showed a clear relationship between themechanical properties and the content of the TEMPO-CNFs. The results indicated that the mechanical properties ofcrosslinked hydrogels were enhanced with the mass ratio of TEMPO-CNFs and alginate increased from 1/2 to 2. Moreover,the crosslinked ionic alginate and cellulose-based hydrogels with various TEMPO-CNFs contents exhibited aninterconnected porous morphology with an average pore size of ca. 130 μm, and demonstrated an increased cumulativerelease amount of BSA drugs under the ultraviolet irradiation. This study demonstrated that the as-prepared photoresponsivehydrogels would have a potential application as local drug release systems for wound dressings.

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