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Qunna Xu,Zhongxue Bai,Jianzhong Ma,Yuxi Yang,Mengchen Huang 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.100 No.-
Currently the development and application of leather are strongly limited by the peculiar smells of theleather itself and the chemical residues in the leather. However, traditionalfinishing materials containingessences have a short release period, but also weaken the mechanical properties of the coating. Herein,wefirst report a route of crafting essence controlled releasing coatings as leatherfinishes comprisingzein–sodium alginate microcapsules loaded with Artemisia argyi essence (AAE@Z-SMs) and caseinmodified by caprolactam (Ca-Cpl), of which AAE@Z-SMs was prepared by anti-solvent precipitationtechnique before physically blended with Ca-Cpl to prepare composite coating. The results showed thatthe average particle size of AAE@Z-SMs was about 5.7 mm, and the accumulative release rate of essence inAAE@Z-SMs was 48.3% after continuous release for 120 h. Besides, the AAE@Z-SMs+Ca-Cplfilm istransparent and has goodflexibility, with pores and microspheres uniformly distributed inside. Moreover, the inhibition zones of the leather samplesfinished by AAE@Z-SMs+Ca-Cpl against Escherichiacoli (E. coli) (1st d) and Staphylococcus aureus (S. aureus) (2nd d) were 2.6 cm and 4.2 cm respectively,which hardly changed after continuing culture for 2 days. Moreover, expected sanitary, mechanical andantibacterial properties of the leatherfinished could be given by AAE@Z-SMs based composites. Thisstudy provides a feasible way to prepare composite coating materials with functionality based on naturalprotein, polysaccharide and plant essence.
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Micro-Expression Recognition Base on Optical Flow Features and Improved MobileNetV2
( Wei Xu ),( Hao Zheng ),( Zhongxue Yang ),( Yingjie Yang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.6
When a person tries to conceal emotions, real emotions will manifest themselves in the form of micro-expressions. Research on facial micro-expression recognition is still extremely challenging in the field of pattern recognition. This is because it is difficult to implement the best feature extraction method to cope with micro-expressions with small changes and short duration. Most methods are based on hand-crafted features to extract subtle facial movements. In this study, we introduce a method that incorporates optical flow and deep learning. First, we take out the onset frame and the apex frame from each video sequence. Then, the motion features between these two frames are extracted using the optical flow method. Finally, the features are inputted into an improved MobileNetV2 model, where SVM is applied to classify expressions. In order to evaluate the effectiveness of the method, we conduct experiments on the public spontaneous micro-expression database CASME II. Under the condition of applying the leave-one-subject-out cross-validation method, the recognition accuracy rate reaches 53.01%, and the F-score reaches 0.5231. The results show that the proposed method can significantly improve the micro-expression recognition performance.
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Wenjun Zhu,Chengyue Yang,Zhongxu Yu,Junhua Xiao,Yude Xu 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.6
This paper presents the corrosion-induced cracking performance of reinforced concrete in a chloride condition. The meso-scale structures of concrete specimens were studied according to the X-ray micro-computed tomography test, including the corrosion propagation, the accumulation and transportation of corrosion products, the defects and cracking behaviors of concrete cover. The experimental results show that the defects could provide a reasonable space for the accommodation of corrosion products, which could significantly increase the corrosion process and postpone the cracking performance. The propagation of the cracking path initiating from the corrosion area of the reinforcement to the concrete cover was also captured based on the experimental images, which can make contribution to the recognition of corrosion-induced cracking behavior of the concrete cover.
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Ammonia etched petroleum pitch-based porous carbon as efficient catalysts for CO2 electroreduction
Ning Hui,Guo Zhihao,Wang Wenhang,Wang Xiaoshan,Yang Zhongxue,Ma Zhengguang,Tian Yangming,Wu Chenghao,Hao Jian,Wu Mingbo 한국탄소학회 2022 Carbon Letters Vol.32 No.3
Electrochemical reduction of carbon dioxide to valuable chemicals is a promising way of storing renewable energy through electric-to-chemical energy conversion, while its large-scale application is in urgent need of cheap and high-performance catalysts. Herein, we invent a convenient method to synthesize N-doped porous carbon by ammonia etching the pyrolysis carbon of petroleum pitch. We found the ammonia etching treatment not only increase the pyridinic-N content, but also enlarge the specific surface area of the petroleum pitch-based porous carbon. As a cheap and easily available catalyst for carbon dioxide electroreduction, up to 82% of Faradaic efficiency towards carbon monoxide was obtained at − 0.9 V vs the reversible hydrogen electrode in 0.1 M KHCO3. After a long time electrocatalysis of more than 20 h, the Faradaic efficiency of carbon monoxide remains 80%, indicating the porous carbon as made have an ultra-high stability as catalyst for carbon dioxide reduction. Our work provides a new technology to economically prepare efficient electrocatalysts for carbon dioxide reduction.
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