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| 1 | From Green Super Rice to green agriculture:Reaping the promise of functional genomics research显示文摘Producing sufficient food with finite resources to feed the growing global population while having a smaller impact on the environment has always been a great challenge.Here,we review the concept and practices of Green Super Rice(GSR)that have led to a paradigm shift in goals for crop genetic improvement and models of food production for promoting sustainable agriculture.The momentous achievements and global deliveries of GSR have been fueled by the integration of abundant genetic resources,functional gene discoveries,and innovative breeding techniques with precise gene and whole-genome selection and efficient agronomic management to promote resource-saving,environmentally friendly crop production systems.We also provide perspectives on new horizons in genomic breeding technologies geared toward delivering green and nutritious crop varieties to further enhance the development of green agricul-ture and better nourish the world population. | Sibin Yu Jauhar Ali Shaochuan Zhou Guangjun Ren Huaan Xie Jianlong Xu Xinqiao Yu Fasong Zhou Shaobing Peng Liangyong Ma Dingyang Yuan Zefu Li Dazhou Chen Ruifeng Zheng Zhigang Zhao Chengcai Chu Aiqing You Yu Wei Susong Zhu Qiongyao Gu Guangcun He Shigui Li Guifu Liu Changhua Liu Chaopu Zhang Jinghua Xiao Lijun Luo Zhikang Li Qifa Zhang | 2022 | Molecular Plant2022，15，1： | 6 |
| 2 | DCGAN Based Spectrum Sensing Data Enhancement for Behavior Recognition in Self-Organized Communication Network显示文摘Communication behavior recognition is an issue with increasingly importance in the antiterrorism and national defense area.However,the sensing data obtained in actual environment is often not sufficient to accurately analyze the communication behavior.Traditional means can hardly utilize the scarce and crude spectrum sensing data captured in a real scene.Thus,communication behavior recognition using raw sensing data under smallsample condition has become a new challenge.In this paper,a data enhanced communication behavior recognition(DECBR)scheme is proposed to meet this challenge.Firstly,a preprocessing method is designed to make the raw spectrum data suitable for the proposed scheme.Then,an adaptive convolutional neural network structure is exploited to carry out communication behavior recognition.Moreover,DCGAN is applied to support data enhancement,which realize communication behavior recognition under small-sample condition.Finally,the scheme is verified by experiments under different data size.The results show that the DECBR scheme can greatly improve the accuracy and efficiency of behavior recognition under smallsample condition. | Kaixin Cheng Lei Zhu Changhua Yao Lu Yu Xinrong Wu Xiang Zheng Lei Wang Fandi Lin | 2021 | China Communications2021，18，11： | 3 |
| 3 | LMI optimization approach on robustness and H-infinity control analysis for observer-based control of uncertain systems 显示文摘 | LIAN Changhua YU Kewei | 2008 | Solitons & Fractals2008，36，3： | 1 |
| 4 | Biquadratic finite volume element methods based on optimal stress points for parabolic problems显示文摘 | Changhua Yu Yonghai Li | 2011 | Journal of Computational and Applied Mathematics2011，236，6： | 1 |
| 5 | Biquadratic finite volume element methods based on optimal stress points for parabolic problems显示文摘 | YU Changhua LI Yonghai | 2011 | Journal of Computational and Applied Mathematics2011，236，6： | 1 |
| 6 | Online remaining-useful-life estimation with a Bayesian-updated expectation-conditional-maximization algorithm and a modified Bayesian-model-averaging method显示文摘Online remaining-useful-life(RUL)estimation is an effective method with respect to ensuring the safety of complex-huge systems.Generally,current methods assume a specific degradation model when degradation values are observed in the initial degradation phase.However,this assumption may not always be robust enough owing to the often-ambiguous inherent incipient-degradation characteristic.Therefore,besides model-parameter uncertainty,the uncertainty of the degradation model is worth examining in online RUL estimations.In this paper,a Bayesian-updated expectation-conditional-maximization(ECM)algorithm is adopted to address the uncertainty of prior parameters,and a modified Bayesian-model-averaging method is used to deal with the uncertainty of the degradation model.Then,simulation studies are conducted to analyze the effectiveness of the proposed fusion algorithm.Results suggest that the Bayesian-updated ECM algorithm and modified Bayesian-model-averaging method effectively address the associated uncertainties of model parameters and the degradation model itself.Finally,we apply the proposed fusion algorithm to predict the RUL of a gyroscope. | Yong YU Xiaosheng SI Changhua HU Jianfei ZHENG Jianxun ZHANG | 2021 | Science China(Information Sciences)2021，64，1： | 1 |
| 7 | Clin- ical study of concurrent ehemoradiotherapy or radiotherapy a- lone for esophageal cancer patients with positive lymph node metastasis, 显示文摘 | JIHUA HAN WEIGUO ZHU CHANGHUA YU | 2012 | Tumori2012，98，1： | 1 |
| 8 | Stability criteria for uncertain neutral systems with interval time-varying delays 显示文摘 | YU K W LIN Changhua | 2008 | Chaos Solitons and Fractals2008，38，： | 1 |
| 9 | Intensity-modulated radiotherapy combined with chemotherapy for the treatment of gastric cancer patients after standard D1/D2 surgery显示文摘 | Changhua Yu Ren Yu Weiguo Zhu Yaqi Song Tao Li | 2012 | Journal of Cancer Research and Clinical Oncology2012，，2： | 1 |
| 10 | Thermodynamic Performance Comparison and Optimization of sCO_(2)Brayton Cycle,tCO_(2)Brayton Cycle and tCO_(2)Rankine Cycle显示文摘In this paper,to further improve thermodynamic performance of supercritical carbon dioxide cycle,simple/recompression transcritical carbon dioxide Brayton cycle(STBC/RTBC)and simple/recompression transcritical carbon dioxide Rankine cycle(STRC/RTRC)are proposed.Thermal and exergy performance analysis and optimization for the above four transcritical CO_(2)cycles and simple/recompression supercritical cycle(SSBC/RSBC)are conducted.The effect of key thermodynamic parameters on those CO_(2)cycle performance is studied.Results indicate that the improvements of thermodynamic performance of CO_(2)cycle are obvious when transcritical Brayton and Rankine cycle are applied in it.Within the same range of optimization variables,the maximum thermal efficiency improvements of RTRC and RTBC are 4.98%and 3.6%,and maximum exergy efficiency improvements of RTRC and RTBC are 7.08%and 5.13%when compared with RSBC.Moreover,the thermodynamic performances of STBC and STRC are also outstanding than that of SSBC.This work provides a way to further improve the thermodynamic performance of CO_(2)power cycle. | JIANG Yu ZHAN Li TIAN Xuelian NIE Changhua | 2023 | Journal of Thermal Science2023，32，2： | 1 |
| 11 | Efficient splicing of the CPE intein derived from directed evolution of the Cryptococcus neoformans PRP8 intein显示文摘Intein-mediated protein splicing has been widely used in protein engineering;however,the splicing efficiency and extein specificity usually limit its further application.Thus,there is a demand for more general inteins that can overcome these limitations.Here,we study the trans-splicing of CPE intein obtained from the directed evolution of Cne PRP8,which shows that its splicing rate is~29-fold higher than that of the wild-type.When the+1 residue of Cextein is changed to cysteine,CPE also shows high splicing activity.Faster association and higher affinity may contribute to the high splicing rate compared with wild-type intein.These findings have important implications for the future engineering of inteins and provide clues for fundamental studies of protein structure and folding. | Qin Zhan Changhua Shi Yu Jiang Xianling Gao Ying Lin | 2023 | Acta Biochimica et Biophysica Sinica2023，55，8： | 0 |
| 12 | Advances in China Space Medical Experiment Research显示文摘In 2021,China Space Station(CSS)was assembled and constructed in-orbit,which provided a broad space platform for space medicine and space life sciences research.Space medicine focuses on the systematic risks that restrict long-term manned spaceflight.It carries out systematic research on the impact and countermeasure technology of long-term weightlessness on astronauts’health,space radiation on astronauts’health,behavior and ability,advanced on-orbit monitoring and medical disposal technology,and traditional space medical application technology by the space medicine experiment platform on human body and cell.It has accumulated valuable data on space environmental effects and human factors research,established a“human system risk”research system,obtained new knowledge and discoveries of space medicine,and explored countermeasure technologies of new characteristics.Moreover,a series of achievements have been made in the basic research on the mechanism of the special space environmental effect,which provides a solid foundation for the implementation of space missions. | CHEN Hailong LIU Zhaoxia WANG Lidong DING Bai SHI Liujia WANG Chunyan MI Tao YU Hongqiang ZHAO Rui WANG Honghui CHEN Chao QU Lina MA Honglei JIANG Changhua LI Yongzhi WEI Ming LI Zhili XU Chong ZANG Peng CAO Ping LI Yinghui | 2022 | 空间科学学报2022，42，4： | 0 |
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