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| 1 | A Review on Graphene-Based Gas/Vapor Sensors with Unique Properties and Potential Applications显示文摘Graphene-based gas/vapor sensors have attracted much attention in recent years due to their variety of structures, unique sensing performances, room-temperature working conditions, and tremendous application prospects, etc.Herein, we summarize recent advantages in graphene preparation, sensor construction, and sensing properties of various graphene-based gas/vapor sensors, such as NH_3, NO_2, H_2, CO, SO_2, H_2S, as well as vapor of volatile organic compounds.The detection mechanisms pertaining to various gases are also discussed. In conclusion part, some existing problems which may hinder the sensor applications are presented. Several possible methods to solve these problems are proposed, for example, conceived solutions, hybrid nanostructures, multiple sensor arrays, and new recognition algorithm. | Tao Wang Da Huang Zhi Yang Shusheng Xu Guili He Xiaolin Li Nantao Hu Guilin Yin Dannong He Liying Zhang | 2016 | Nano-Micro Letters2016，8，2： | 18 |
| 2 | The Class Ⅲ peroxidase gene OsPrx30,transcriptionally modulated by the AT-hook protein OsATH1, mediates rice bacterial blight-induced ROS accumulation显示文摘Class Ⅲ peroxidases(CⅢ Prxs) play critical roles in plant immunity by scavenging reactive oxygen species(ROS). However, the functions of CⅢ Prxs in rice(Oryza sativa L.) immunity are largely unexplored. Here, we report a Prx precursor, OsPrx30,that is responsive to the bacterial blight Xanthomonas oryzae pv. oryzae(Xoo). OsPrx30 was primarily expressed in rice roots, leaves, and stems,and its protein product was mainly localized at the endoplasmic reticulum. Overexpression of OsPrx30 enhanced the plant’s susceptibility to Xoo by maintaining a high level of peroxidase(POD) activity and reducing the content of H2O2, whereas depletion of OsPrx30 had the opposite effects. Furthermore, we identified an AT-hook transcription factor, Os ATH1, that is specifically bound to the OsPrx30 promoter. As observed in plants overexpressing OsPrx30, depletion of Os ATH1 enhanced susceptibility to Xoo. Finally, we demonstrated that depletion of Os ATH1 increased histone H3 acetylation at the AT-rich region of the OsPrx30 promoter.Taken together, these results reveal a mechanism underlying the POD-induced natural resistance to bacterial diseases and suggest a model for transcription regulation of Prx genes in rice. | Hao Liu Shuangyu Dong Ming Li Fengwei Gu Guili Yang Tao Guo Zhiqiang Chen Jiafeng Wang | 2021 | Journal of Integrative Plant Biology2021，63，2： | 2 |
| 3 | Reduced-order steady-state descriptor Kalman fuser weighted by block-diagonal matrices显示文摘 | Deng Zili Gao Yuan Tao Guili | 2008 | Information Fusion2008，，9： | 1 |
| 4 | Convergence analysis of self-tuning Riccati equation for systems with correlation noises显示文摘For linear discrete time-invariant stochastic system with correlated noises,and with unknown state transition matrix and unknown noise statistics,substituting the online consistent estimators of the state transition matrix and noise statistics into steady-state optimal Riccati equation,a new self-tuning Riccati equation is presented.A dynamic variance error system analysis(DVESA)method is presented,which transforms the convergence problem of self-tuning Riccati equation into the stability problem of a time-varying Lyapunov equation.Two decision criterions of the stability for the Lyapunov equation are presented.Using the DVESA method and Kalman filtering stability theory,it proves that with probability 1,the solution of self-tuning Riccati equation converges to the solution of the steady-state optimal Riccati equation or time-varying optimal Riccati equation.The proposed method can be applied to design a new selftuning information fusion Kalman filter and will provide the theoretical basis for solving the convergence problem of self-tuning filters.A numerical simulation example shows the effectiveness of the proposed method. | Chenjian RAN Guili TAO Jinfang LIU Zili DENG | 2009 | Frontiers of Electrical and Electronic Engineering in China2009，4，4： | 0 |
| 5 | Convergence of self-tuning Riccati equation with correlated noises显示文摘For the linear discrete time-invariant stochastic system with correlated noises, and with unknown model parameters and noise statistics, substituting the online consistent estimators of the model parameters and noise statistics into the optimal time-varying Riccati equation, a self-tuning Riccati equation is presented. By the dynamic variance error system analysis (DVESA) method, it is rigorously proved that the self-tuning Riccati equation converges to the optimal time-varying Riccati equation. Based on this, by the dynamic error system analysis (DESA) method, it is proved that the corresponding self-tuning Kalman filter converges to the optimal time-varying Kalman filter in a realization, so that it has asymptotic optimality. As an application to adaptive signal processing, a self-tuning Kalman signal filter with the self-tuning Riccati equation is presented. A simulation example shows the effectiveness. | Guili TAO Zili DENG | 2012 | 控制理论与应用(英文版)2012，10，1： | 0 |
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