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| 1 | Characteristic Analysis of UHVAC/DC Hybrid Power Grids and Construction of Power System Protection显示文摘Strong DC coupling with weak AC and large-scale renewable energy integration are the two significant characteristics of ultra-high-voltage AC/DC(UHVAC/DC)hybrid power grids in China.Strong coupling between AC and DC grids and the different integration performance of renewable energy sources have profoundly changed the stability characteristics of the power system.The traditional stability control system is inadequate for the stability control of UHVAC/DC power grids.This paper analyzes the requirements for constructing an integrated defense system in a UHVAC/DC hybrid power grid(i.e.power system protection).The definition,connotation,and designing principles of power system protection are put forward.The relationship between the power system protection and the traditional three-defense lines is investigated.The design principles,general hardware structure and main functions of a power system protection are presented.Key problems and technologies are specified in the construction of the power system protection. | Yinbiao Shu Guoping Chen Zhao Yu Jianyun Zhang Chao Wang Chao Zheng | 2017 | CSEE Journal of Power and Energy Systems2017，3，4： | 11 |
| 2 | Effect of dry density on ^(125)I diffusion in GMZ bentonite显示文摘Gaomiaozi(GMZ) bentonite is regarded as the favorable candidate backfilling material for a potential repository in China.It is important to understand the diffusion behavior of 125 I in GMZ bentonite and compare the diffusion behavior in GMZ and other types of bentonite like MX-80,Avonlea,etc.Therefore,through-and out-diffusion experiments were conducted to obtain the effective diffusion coefficient(D e) and distribution coefficient(K d).A computer code named Fitting for diffusion coefficient(FDP) was used for the experimental data processing and theoretical modeling.At the dry density of GMZ bentonite from 1600-2000 kg/m 3,the D e values of 125 I were(2.4-20.4) × 10-12 m 2 /s and K d values were constants.At dry density above 1800 kg/m 3,the diffusion behaviors were almost the same,indicating that the anion exclusion was ineffective.Out-diffusion results showed that the species of 125 I may be changed during the diffusion processing.It was probably caused by some organic matters or reducing substances in GMZ bentonite.Since the main composition of bentonite is montmorillonite,similar diffusion parameters were obtained in GMZ and other types of bentonite.The relationship of D e and accessible porosity(acc) could be described by Archie's law with exponent n = 1.2-2.8 for 125 I diffusion in bentonite,whereas n = 2.0 in GMZ bentonite.Furthermore,bentonite with the dry density of 1800 kg/m 3 was proposed as the backfilling materials used in the construction of high level radioactivity waste repository. | WU Tao LI JinYing DAI Wei XIAO GuoPing SHU FuJun YAO Jun SU YuLan SHI Lei | 2012 | Science China Chemistry2012，55，9： | 11 |
| 3 | The RppC-AvrRppC NLR-effector interaction mediates the resistance to southern corn rust in maize显示文摘Southern corn rust(SCR),caused by the fungal pathogen Puccinia polysora,is a major threat to maize pro-duction worldwide.Efficient breeding and deployment of resistant hybrids are key to achieving durable control of SCR.Here,we report the molecular cloning and characterization of RppC,which encodes an NLR-type immune receptor and is responsible for a major SCR resistance quantitative trait locus.Further-more,we identified the corresponding avirulence effector,AvrRppC,which is secreted by P.polysora and triggers RppC-mediated resistance.Allelic variation of AvrRppC directly determines the effectiveness of RppC-mediated resistance,indicating that monitoring of AvrRppC variants in the field can guide the rational deployment of RppC-containing hybrids in maize production.Currently,RppC is the most frequently deployed SCR resistance gene in China,and a better understanding of its mode of action is crit-ical for extending its durability. | Ce Deng April Leonard James Cahill Meng Lv Yurong Li Shawn Thatcher Xueying Li Xiaodi Zhao Wenjie Du Zheng Li Huimin Li Victor Llaca Kevin Fengler Lisa Marshall Charlotte Harris Girma Tabor Zhimin Li Zhiqiang Tian Qinghua Yang Yanhui Chen Jihua Tang Xintao Wang Junjie Hao Jianbing Yan Zhibing Lai Xiaohong Fei Weibin Song Jinsheng Lai Xuecai Zhang Guoping Shu Yibo Wang Yuxiao Chang Weiling Zhu Wei Xiong Juan Sun Bailin Li Junqiang Ding | 2022 | Molecular Plant2022，15，5： | 6 |
| 4 | Origin and diversity of novel avian influenza A H7N9 viruses causing human infection: phylogenetic, structural, and coalescent analyses显示文摘 | Di Liu Weifeng Shi Yi Shi Dayan Wang Haixia Xiao Wei Li Yuhai Bi Ying Wu Xianbin Li Jinghua Yan Wenjun Liu Guoping Zhao Weizhong Yang Yu Wang Juncai Ma Yuelong Shu Fumin Lei George F Gao | 2013 | The Lancet2013，，9881： | 2 |
| 5 | Origin and diversity of novel avian influenza A H7N9 viruses causing human infection: phylogenetic, structural, and coalescent analyses显示文摘 | Di Liu Weifeng Shi Yi Shi Dayan Wang Haixia Xiao Wei Li Yuhai Bi Ying Wu Xianbin Li Jinghua Yan Wenjun Liu Guoping Zhao Weizhong Yang Yu Wang Juncai Ma Yuelong Shu Fumin Lei George F Gao | 2013 | The Lancet2013，，9881： | 1 |
| 6 | Molecular insights into AabZIP1-mediated regulation on artemisinin biosynthesis and drought tolerance in Artemisia annua显示文摘Artemisia annua is the main natural source of artemisinin production.In A.annua,extended drought stress severely reduces its biomass and artemisinin production while short-term water-withholding or abscisic acid(ABA)treatment can increase artemisinin biosynthesis.ABA-responsive transcription factor AabZIP1 and JA signaling AaMYC2 have been shown in separate studies to promote artemisinin production by targeting several artemisinin biosynthesis genes.Here,we found AabZIP1 promote the expression of multiple artemisinin biosynthesis genes including AaDBR2 and AaALDH1,which AabZIP1 does not directly activate.Subsequently,it was found that AabZIP1 up-regulates AaMYC2expression through direct binding to its promoter,and that AaMYC2 binds to the promoter of AaALDH1to activate its transcription.In addition,AabZIP1 directly transactivates wax biosynthesis genes AaCER1and AaCYP86A1.The biosynthesis of artemisinin and cuticular wax and the tolerance of drought stress were significantly increased by AabZIP1 overexpression,whereas they were significantly decreased in RNAi-AabZIP1 plants.Collectively,we have uncovered the AabZIP1-AaMYC2 transcriptional module as a point of cross-talk between ABA and JA signaling in artemisinin biosynthesis,which may have general implications.We have also identified AabZIP1 as a promising candidate gene for the development of A.annua plants with high artemisinin content and drought tolerance in metabolic engineering breeding. | Guoping Shu Yueli Tang Mingyuan Yuan Ning Wei Fangyuan Zhang Chunxian Yang Xiaozhong Lan Min Chen Kexuan Tang Lien Xiang Zhihua Liao | 2022 | Acta Pharmaceutica Sinica B2022，12，3： | 1 |
| 7 | Comparative genomic analysis of Thermus provides insights into the evolutionary history of an incomplete denitrification pathway显示文摘Biological denitrification is a crucial process in the nitrogen biogeochemical cycle,and Thermus has been reported to be a significant heterotrophic denitrifier in terrestrial geothermal environments.However,neither the denitrification potential nor the evolutionary history of denitrification genes in the genus Thermus or phylum Deinococcota is well understood.Here,we performed a comparative analysis of 23 Thermus genomes and identified denitrification genes in 15 Thermus strains.We confirmed that Thermus harbors an incomplete denitrification pathway as none of the strains contain the nosZ gene.Ancestral character state reconstructions and phylogenetic analyses showed that narG,nirS,and norB genes were acquired by the last common ancestor of Thermales and were inherited vertically.In contrast,nirK of Thermales was acquired via two distinct horizontal gene transfers from Proteobacteria to the genus Caldithermus and from an unknown donor to the common ancestor of all known Thermus species except Thermus filiformis.This study expands our understanding of the genomic potential for incomplete denitrification in Thermus,revealing a largely vertical evolutionary history of the denitrification pathway in the Thermaceae,and supporting the important role for Thermus as an important heterotrophic denitrifier in geothermal environments. | Jian-Yu Jiao Zheng-Han Lian Meng-Meng Li Nimaichand Salam En-Min Zhou Lan Liu Hong Ming Guoxing Nie Wensheng Shu Guoping Zhao Brian P.Hedlund Wen-Jun Li | 2022 | mLife2022，1，2： | 1 |
| 8 | Dynamic adjustment method of mechanical press slide height based on linear encoder显示文摘 | Pan Xiaobin Shu Xiaomo Li Guoping | 2013 | Applied Mechanics and Materials2013，397，： | 1 |
| 9 | Expert recommendations on collection and annotation of otoscopy images for intelligent medicine显示文摘Middle and outer ear diseases are common otological diseases worldwide.Otoscopy and otoendoscopy exami-nations are essential first steps in the evaluation of patients with otological diseases.Misdiagnosis often occurs when the doctor lacks experience in interpreting the results of otoscopy or otoendoscopy,leading to delays in treatment or complications.Using deep learning to process otoscopy images and developing otoscopic artificial-intelligence-based decision-making systems will become a significant trend in the future.However,the uneven quality of otoscopy images is among the major obstacles to development of such artificial intelligence systems,and no standardized process for data acquisition,and annotation of otoscopy images in intelligent medicine has yet been fully established.The standards for data storage and data management are unified with those of other specialties and are introduced in detail here.This expert recommendation criterion improved and standardized the collection and annotation procedures for otoscopy images and fills the current gap in otologic intelligent medicine;it would thus lay a solid foundation for the standardized collection,storage,and annotation of oto-scopy images and the application of training algorithms,and promote the development of automatic diagnosis and treatment for otological diseases.The full text introduced image collection(including patient preparation,equipment standards,and image storage),image annotation standards,and quality control. | Yuexin Cai Junbo Zeng Liping Lan Suijun Chen Yongkang Ou Linqi Zeng Qintai Yang Peng Li Yubin Chen Qi Li Hongzheng Zhang Fan Shu Guoping Chen Wenben Chen Yahan Yang Ruiyang Li Anqi Yan Haotian Lin Yiqing Zheng | 2022 | Intelligent Medicine2022，2，4： | 0 |
| 10 | Recognition for avian influenza virus proteins based on support vector machine and linear discriminant analysis显示文摘Total 200 properties related to structural characteristics were employed to represent structures of 400 HA coded proteins of influenza virus as training samples. Some recognition models for HA proteins of avian influenza virus (AIV) were developed using support vector machine (SVM) and linear discriminant analysis (LDA). The results obtained from LDA are as follows: the identification accuracy (Ria) for training samples is 99.8% and Ria by leave one out cross validation is 99.5%. Both Ria of 99.8% for training samples and Ria of 99.3% by leave one out cross validation are obtained using SVM model, respectively. External 200 HA proteins of influenza virus were used to validate the external predictive power of the resulting model. The external Ria for them is 95.5% by LDA and 96.5% by SVM, respectively, which shows that HA proteins of AIVs are preferably recognized by SVM and LDA, and the performances by SVM are superior to those by LDA. | LIANG GuiZhao CHEN ZeCong YANG ShanBin MEI Hu ZHOU Yuan YANG Li ZHOU Peng YANG ShengXi SHU Mao LIAO ChunYang WU ShiRong LI GenRong HE Liu GAO JianKun Gan MengYu LI DeJing CHEN GuoPing WANG GuiXue LONG Sha JING JuHua ZHENG XiaoLin ZENG Hui ZHANG QiaoXia ZHANG MengJun YANG Qi TIAN FeiFei TONG JianBo WANG JiaoNa LIU YongHong LI Bo QIU LiangJia CAI ShaoXi ZHAO Na YANG Yan SU XiaLi SONG Jian CHEN MeiXia ZHANG XueJiao SUN JiaYing LI JingWei CHEN GuoHua CHEN Gang DENG Jie PENG ChuanYou ZHU WanPing XU LuoNan WU YuQuan LIAO LiMin LI Zhi LI Jun LU DaJun SU QinLiang HUANG ZhengHu ZHOU Ping LI ZhiLiang | 2008 | Science China Chemistry2008，51，2： | 0 |
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