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| 1 | Bionic Optimization Design of Electronic Nose Chamber for Oil and Gas Detection显示文摘 | Zhiyong Chang Youhong Sun Yuchen Zhang Yanli Gao Xiaohui Weng Donghui Chen Liewe David Jun Xie | 2018 | Journal of Bionic Engineering2018，15，3： | 6 |
| 2 | Prevalence of diabetes among menand women in China显示文摘 | Yang Wenying Lu Juming Weng Jianping Jia Weiping Ji Linong Xiao Jianzhong Shan Zhongyan Liu Jie Tian Ha- oming Ji Qiuhe Zhu Dalong Ge Jiapu Lin Lixiang Chen Li Guo Xiaohui Zhao Zhigang Li Qiang Zhou Zhiguang Shan Guangliang He Jiang | 2010 | N Engl J Med2010，362，： | 1 |
| 3 | Bionic Layout Optimization of Sensor Array in Electronic Nose for Oil Shale Pyrolysis Process Detection显示文摘In order to meet the requirements for miniaturization detection of oil shale pyrolysis process and solve the problem of low sensitivity of oil and gas detection devices,a small bionic electronic nose system was designed.Inspired by the working mode of the olfactory receptors in the mouse nasal cavity,the bionic spatial arrangement strategy of the sensor array in the electronic nose chamber was proposed and realized for the first time,the sensor array was used to simulate the distribution of mouse olfactory cells.Using 3D printing technology,a solid model of the electronic nose chamber was manufactured and a comparative test of oil shale pyrolysis gas detection was carried out.The results showed that the proposed spatial arrangement strategy of sensor array inside electronic nose chamber can realize the miniaturization of the electronic nose system,strengthen the detection sensitivity and weaken the mutual interference error.Moreover,it can enhance the recognition rate of the bionic spatial strategy layout,which is higher than the planar layout and spatial comparison layout.This bionic spatial strategy layout combining naive bayes algorithm achieves the highest recognition rate,which is 94.4%.Results obtained from the Computational Fluid Dynamics(CFD)analysis also indicate that the bionic spatial strategy layout can improve the responses of sensors. | Xiaohui Weng Youhong Sun Jun Xie Sunhua Deng Zhiyong Chang | 2021 | Journal of Bionic Engineering2021，18，2： | 1 |
| 4 | Serum Lipids and Lipoproteins in Chinese Men and Women显示文摘 | Wenying Yang Jianzhong Xiao Zhaojun Yang Linong Ji Weiping Jia Jianping Weng Juming Lu Zhongyan Shan Jie Liu Haoming Tian Qiuhe Ji Dalong Zhu Jiapu Ge Lixiang Lin Li Chen Xiaohui Guo Zhigang Zhao Qiang Li Zhiguang Zhou Guangliang Shan Jiang He | 2012 | Circulation2012，，18： | 1 |
| 5 | Detection and classification of pesticide residues in dandelion(Taraxacum officinale L.)by electronic nose combined with chemometric approaches显示文摘In this study,for the first time a suitable pesticide residue detection system for dandelion(Taraxacum officinale L.)was established based on electronic nose to determine and study the concentration of pesticide residue in dandelion.Dandelions were sprayed with different concentrations of pesticides(avermectin,trichlorfon,deltamethrin,and acetamiprid),respectively.Data collection was performed by application of an electronic nose equipped with 12 metal oxide semiconductor(MOS)sensors.Data analysis was conducted using different methods including BP neural network and random forest(RF)as well as the support vector machine(SVM).The results showed the superior effectiveness of SVM in discrimination and classification of non-exceeding maximum residue limits(MRLs)and exceeding MRLs standards.Moreover,the model trained by SVM has the best performance for the classification of pesticide categories in dandelion,and the classification accuracy was 91.7%.The results of this study can provide reference for further development and construction of efficient detection technology of pesticide residues based on electronic nose for agricultural products. | Jianlei Qiao Xinmei Jiang Xiaohui Weng Hongbo Cui Chang Liu Yuanjun Zou Hailing Yu Yucai Feng Zhiyong Chang | 2023 | International Journal of Agricultural and Biological Engineering2023，16，5： | 0 |
| 6 | Inspired by Tree Frog:Bionic Design of Tread Pattern and Its Wet Friction Properties显示文摘The wet grip of tire has always been the focus because it is related to the personal safety of passengers directly.Many methods were employed to improve the wet grip of tire.Researchers paid more attention on bionics method recent years.In nature,tree frogs have high adhesion ability in wet environment,which is mainly due to their footpads having fine polygon grooves(mainly hexagon grooves).To improve the performance of wet grip of tire,from the perspective of bionics,inspired by the footpad of tree frog,the bionic hexagon tread pattern was designed.The friction test was carried out to compare with the common tread patterns such as serrated,striped and square patterns.The results showed that the bionic hexagon tread pattern generally had high friction coefficient and directional stability of friction.The main reason was that the hexagon tread block was less affected by the friction-induced torque and the groove of bionic hexagon tread pattern had better drainage characteristic.The bionic hexagon tread pattern provides new idea and method for the design of tires with high wet grip. | Donghui Chen Xiao Yang Menghua Zhong Chong Chen Lihui Wang Jingchun Wang Xiaohui Weng Yinwu Li Zhiyong Chang | 2022 | Journal of Bionic Engineering2022，19，4： | 0 |
| 7 | Effects of second-order dispersion of ultrashort laser pulse on stimulated Raman scattering显示文摘The influence of second-order dispersion(SOD)on stimulated Raman scattering(SRS)in the interaction of an ultrashort intense laser with plasma was investigated.More significant backward SRS was observed with the increase of the absolute value of SOD(|ψ2|).The integrated intensity of the scattered light is positively correlated to the driver laser pulse duration.Accompanied by the side SRS,filaments with different angles along the laser propagation direction were observed in the transverse shadowgraph.A model incorporating Landau damping and above-threshold ionization was developed to explain the SOD-dependent angular distribution of the filaments. | Yanqing Deng Dongning Yue Mufei Luo Xu Zhao Yaojun Li Xulei Ge Feng Liu Suming Weng Min Chen Xiaohui Yuan Jie Zhang | 2022 | High Power Laser Science and Engineering2022，10，6： | 0 |
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