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- 저자 : Huang Xinying (검색결과 4 건)
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Jie Huang,Xuhua Ye,Wenjun Li,Anqi Shi,Xini Chu,Ziwen Cao,Chao Yao,Xiazhang Li 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.116 No.-
Developing low cost and efficient strategy to eliminate volatile organic compounds (VOCs) are quite urgent and challenging. Herein, CeO2 nanoparticles co-doped with Yb3+ and Er3+ were immobilized on attapulgite clay (ATP) for photothermal catalytic oxidation of toluene. The CeO2:Yb3+, Er3+/ATP exhibited outstanding catalytic activity with low T90 of 295 °C (temperature at 90% degradation), satisfactory stability and highly water resistance. The enhanced photothermal catalytic performance can be attributed to the optimal introduction of Yb3+ and Er3+, which promoted the up-conversion of near-infrared light (NIR) to visible light increasing the light utilization. The defects caused by Yb3+/Er3+ doping facilitated the adsorption of O2, while the active oxygen species generated from the defects and the photoinduced reactive species not only favored the oxidation of toluene in photothermal catalytic process, but also accelerated the reoxidation of reduced catalyst. Notably ATP support provided large specific surface area and abundant adsorption sites for toluene molecules to promote the deep oxidation and hindered the deactivation of catalysts caused by the accumulation of intermediates. In-situ DRIFTS test revealed that the alkoxide and benzoate appeared as the main intermediates, which can be deeply oxidized under light irradiation. Current work provides a new alternative for photothermal catalytic degradation of VOCs.
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Modified GMDH networks for oilfield production prediction
Jia Guo,Wei Huang,Qiong Mao,Xudong Wang,Xinying Wang,Tao Song 한국자원공학회 2018 Geosystem engineering Vol.21 No.4
The self-organizing Group Method of Data Handling (GMDH) functional network is effective in predicting oilfield production. During operation the division of data sample depending on artificial classification cannot lead to global optimum in great probability and the variables are probably eliminated early in the iterative process in traditional GMDH algorithm. Recent years, GMDH model has been improved through many artificial intelligent models, but few people take the optimization of the model structure into account. In this paper, different training and testing set grouping and the effects of variables transmission were studied. The modified GMDH algorithm was optimized using the original variables preservation method and the random sample method, which was applied to the oilfield production forecasting simulation. The results of the modified GMDH algorithm, the traditional GMDH algorithm, ANNs and the empirical equations for predicting annual oil production were compared. The simulative results indicated that the modified GMDH model was the best tool for data-fitting with lowest error (RMSE = 13.9440, MAPE = 0.1121 and SI = 0.0378) and highest accuracy (R = 0.9984).
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Prediction and Analysis of Diesel Engine Combustion Noise Using Transfer Function Method
Wei Zhaoyi,Zheng Liang,Huang Li,Gao Wenzhi,Li Yong,Zhao Xinying,Liu Rui 한국자동차공학회 2021 International journal of automotive technology Vol.22 No.3
With the increasingly strict emission regulations, the combustion noise has become an important factor restricting diesel engine development. Therefore, it is necessary to study the transfer function and prediction of combustion noise and to control it from the design stage. This paper proposes a method to calculate the combustion noise transfer function. An electronically controlled common rail diesel engine (D19TCI) was selected as the research object. It was tested for in-cylinder pressure and sound pressure across different engine operating conditions. The original signal was preprocessed using time synchronization and least squares polynomial fitting, and the diesel engine combustion noise transfer function was obtained based on motor tests and different injection strategies. The research verified the existence of a transfer relationship between the in-cylinder pressure and surface radiation combustion noise in all directions in the same engine. In addition, the prediction accuracy of the combustion noise obtained using the transfer function was verified. The experimental results show that the combustion noise transfer function obtained using the multiple linear regression main-injection strategy has better consistency result than other strategies, and the results also provide new ideas and methods for optimization design of diesel engine noise reduction.
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Xiang Yaoxian,Dai Junxi,Li Yao,You Zongqi,Zhang Junpeng,Huang Xinying,Nie Shuqi,Chen Yujie,Xu Lei,Liu Fengming,Jiang Junjian,Xu Jianguang 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-
Neutrophils are the earliest master inflammatory regulator cells recruited to target tissues after direct infection or injury. Although inflammatory factors are present in muscle that has been indirectly disturbed by peripheral nerve injury, whether neutrophils are present and play a role in the associated inflammatory process remains unclear. Here, intravital imaging analysis using spinning-disk confocal intravital microscopy was employed to dynamically identify neutrophils in denervated muscle. Slice digital scanning and 3D-view reconstruction analyses demonstrated that neutrophils escape from vessels and migrate into denervated muscle tissue. Analyses using reactive oxygen species (ROS) inhibitors and flow cytometry demonstrated that enhanced ROS activate neutrophils after denervation. Transcriptome analysis revealed that the vast majority of neutrophils in denervated muscle were of the CXCR2 subtype and were recruited by CXCL1. Most of these cells gradually disappeared within 1 week via P53-mediated apoptosis. Experiments using specific blockers confirmed that neutrophils slow the process of denervated muscle atrophy. Collectively, these results indicate that activated neutrophils are recruited via chemotaxis to muscle tissue that has been indirectly damaged by denervation, where they function in delaying atrophy.
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