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| 1 | Pm21 from Haynaldia villosa Encodes a CC-NBS- LRR Protein Conferring Powdery Mildew Resistance in Wheat显示文摘 | Liping Xing Ping Hu Jiaqian Liu Kamil Witek Shuang Zhou Jiefei Xu Weihao Zhou Li Gao Zhenpu Huang Ruiqi Zhang Xiue Wang Peidu Chen Haiyan Wang Jonathan D.G. Jones Miroslava Karafiatova Jan Vrana Jan Baros Jaroslav Dolezel Yuanchun Tian Yufeng Wu Aizhong Cao | 2018 | Molecular Plant2018，11，6： | 16 |
| 2 | Science and Prediction of Heavy Rainfall over China:Research Progress since the Reform and Opening-Up of New China显示文摘This paper reviews the major progress on development of the science and prediction of heavy rainfall over China since the beginning of the reform and opening-up of new China(roughly between 1980 and 2019).The progress of research on the physical mechanisms of heavy rainfall over China is summarized from three perspectives:1)the relevant synoptic weather systems,2)heavy rainfall in major sub-regions of China,and 3)heavy rainfall induced by typhoons.The development and application of forecasting techniques for heavy rainfall are summarized in terms of numerical weather prediction techniques and objective forecasting methods.Greatly aided by the rapid progress in meteorological observing technology and substantial improvement in electronic computing,studies of heavy rainfall in China have advanced to investigating the evolution of heavy-rain-producing storms and observational analysis of the cloud microphysical features.A deeper and more systematic understanding of the synoptic systems of importance to the production of heavy rainfall has also been developed.Operational forecast of heavy rainfall in China has changed from subjective weather event forecasts to a combination of both subjective and objective quantitative precipitation forecasts,and is now advancing toward probabilistic quantitative precipitation forecasts with the provision of forecast uncertainty information. | Yali LUO Jisong SUN Ying LI Rudi XIA Yu DU Shuai YANG Yuanchun ZHANG Jing CHEN Kan DAI Xueshun SHEN Haoming CHEN Feifan ZHOU Yimin LIU Shenming FU Mengwen WU Tiangui XIAO Yangruixue CHEN Huiqi LI Mingxin LI | 2020 | Journal of Meteorological Research2020，34，3： | 10 |
| 3 | A grid-based clustering algorithm for wild bird distribution显示文摘 | Yuwei WANG Yuanchun ZHOU Ying LIU Ze LUO Danhuai GUO Jing SHAO Fei TAN Liang WU Jianhui LI Baoping YAN | 2013 | Frontiers of Computer Science2013，7，4： | 4 |
| 4 | Progress in Severe Convective Weather Forecasting in China since the 1950s显示文摘Located in the Asian monsoon region, China frequently experiences severe convective weather(SCW), such as short-duration heavy rainfall(SDHR), thunderstorm high winds, hails, and occasional tornadoes. Progress in SCW forecasting in China is closely related to the construction and development of meteorological observation networks,especially weather radar and meteorological satellite networks. In the late 1950 s, some county-level meteorological bureaus began to conduct empirical hail forecasting based on observations of clouds and surface meteorological variables. It took over half a century to develop a modern comprehensive operational monitoring and warning system for SCW forecast nationwide since the setup of the first weather radar in 1959. The operational SCW forecasting, including real-time monitoring, warnings valid for tens of minutes, watches valid for several hours, and outlooks covering lead times of up to three days, was established in 2009. Operational monitoring and forecasting of thunderstorms,SDHR, thunderstorm high winds, and hails have been carried out. The performance of operational SCW forecasting will be continually improved in the future with the development of convection-resolving numerical models(CRNMs), the upgrade of weather radar networks, the launch of new-generation meteorological satellites, better understanding of meso-γ and microscale SCW systems, and further application of artificial intelligence technology and CRNM predictions. | Xiaoling ZHANG Jianhua SUN Yongguang ZHENG Yuanchun ZHANG Ruoyun MA Xinlin YANG Kanghui ZHOU Xuqing HAN | 2020 | Journal of Meteorological Research2020，34，4： | 3 |
| 5 | A Correlation Visual Analytics System for Air Quality显示文摘A visual analytics system is proposed to reveal the lead/lag correlation when air pollution is detected. In this system, an Overview + Detail approach is utilized for analyzing the correlation of air quality under both the spatial and temporal dimensions and different spatial-temporal scales. An annular container is proposed to preserve the context spatial information while the zoom level of the map changes. Based on the annular container, several analysis techniques such as STL decomposition view and correlation algorithm are integrated. | DU Yi Abish Malik ZHOU Lianke ZHOU Yuanchun | 2018 | Chinese Journal of Electronics2018，27，5： | 1 |
| 6 | Joint R&D in Low - Carbon Technology Development in China:A Case Study of the Wind -Turbine Manufacturing Industry 显示文摘 | Zhou Yuanchun Zhang Bing Zou Ji | 2012 | Energy Pol- icy2012，，46： | 1 |
| 7 | TeaPGDB:Tea Plant Genome Database显示文摘As the most widely consumed beverage in the world,tea has various nutritional,economic,and global cultural values.With the development of the third-generation sequencing technology,several genome sequences of tea plants have been published.These genomic data have pivotal information that is of benefit to tea plant breeders and biologists in advancing tea plant improvement and the final quality of tea products.We hereby present the integrative online database,Tea Plant Genome Database(TeaPGDB;http://eplant.njau.edu.cn/tea),which incorporates the published genome sequences of tea plants.The current release of TeaPGDB hosts published tea plant genome data with various online tools,including JBrowse,gene search,SSR search,BLAST.TeaPGDB also contains a download server,which provides access for the download of genome-related data and rich annotation files.TeaPGDB is committed to collecting,integrating,and annotating published tea plant genome data,providing data support for research on tea plant heredity,evolution,breeding for resistance,plant improvement,and facilitating the characterization of important traits or flavor related genes in the community.Compared with other tea plant databases,this database not only contains more complete genome data and gene annotation information,but also has a user-friendly interface for researchers in the field. | Xiaogang Lei Ya Wang Yuhan Zhou Yongzhong Chen Hongyuan Chen Zhongwei Zou Lin Zhou Yuanchun Ma Fei Chen Wanping Fang | 2021 | Beverage Plant Research2021，1，1： | 1 |
| 8 | Turbostratic carbon nitride prepared by pyrolysis of melamine 显示文摘 | Zhao Yuanchun Yu Dongli Zhou H W | | Journal of Materials Science0，40，： | 1 |
| 9 | Value Assessment of Wetland Ecosystem Services in the Da Hinggan Mountains, China显示文摘This study examined regional differences in ecosystem services for the Da Hinggan Mountains(DHM),China.A correction index was constructed based on ten-year average net primary productivity(NPP)data.A new equivalent factor table that was suitable for the assessment of wetlands in the DHM was formed by using the expert weight determination method(EWDM).An evaluation model was established for evaluating the ecosystem service value(ESV)of wetlands in the DHM.The results show that in 2020,the total ESV of wetlands reached 93361×10^(6) USD,with the forest swamp and marsh ecosystems contributing the most.From the perspective of value composition,regulating services and supporting services are the main service functions of wetlands in the DHM.From 2010 to2020,ESV provided by wetlands increased by 4337×10^(6) USD/yr in the DHM.The value of forest swamp and peatland ecosystems increased by 18.6%and 12.7%,respectively,whereas the value of swamp,shrub swamp,and marsh decreased.The research results are of significance for contributing to local government performance evaluation and determining financial compensation for the provision of wetland ecosystem services. | ZHANG Tingting LYU Xianguo ZOU Yuanchun LIU Jiping JIANG Ming XU Chunguang ZHOU Cuicui XU Chen XUE Zhenshan | 2022 | Chinese Geographical Science2022，32，2： | 0 |
| 10 | Design and evaluation of window management operations in AR headset+smartphone interface显示文摘Background The combination of an augmented reality(AR)headset and a smartphone can simultaneously provide a wider display and a precise touch input;it can redefine the way we use applications today.However,users are deprived of such benefits owing to the independence of the two devices.There is a lack of intuitive and direct interactions between them.Methods In this study,we conduct a formative investigation to understand the window management requirements and interaction preferences of using an AR headset and a smartphone simultaneously and report the insights we gained.In addition,we introduce an example vocabulary of window management operations in the AR headset and smartphone interface.Results This allows users to manipulate windows in a virtual space and shift windows between devices efficiently and seamlessly. | Jie REN Chun YU Yueting WENG Chengchi ZHOU Yuanchun SHI | 2022 | Virtual Reality & Intelligent Hardware2022，4，2： | 0 |
| 11 | Progress and perspective on intercropping patterns in tea plantations显示文摘Intercropping,as one of the complex ecological cultivations,is an important tea plantation pattern.Compared to sole-cropping tea plantations,intercropping can improve the above-and below-ground environment,which is beneficial to tea plant growth,the formation of high tea quality and the increase of tea yield.In this review,we summarized the impacts of intercropping on the tea plantation environment(microclimate,biomass,soil nutrients,microorganisms and heavy metals),tea plants growth and tea yield.We then analyzed how intercropping affects the growth and metabolism of tea plants based on the impact of intercropping on the environment.As a result,the achievements and progress of tea plantation intercropping are summarized,the remaining problems of the current research on intercropping tea plantations are highlighted,and provide new insights for the advanced research of intercropping in tea plantations. | Xiaogang Lei Ting Wang Bin Yang Yu Duan Lin Zhou Zhongwei Zou Yuanchun Ma Xujun Zhu Wanping Fang | 2022 | Beverage Plant Research2022，2，1： | 0 |
| 12 | gcCov:Linked open data for global coronavirus studies显示文摘Impact Statement We present a method of mapping data from publicly available genomics and publication resources to the Resource Description Framework(RDF)and implement a server to publish linked open data(LOD).As one of the largest and most comprehensive semantic databases about coronaviruses,the resulted gcCov database demonstrates the capability of using data in the LOD framework to promote correlations between genotypes and phenotypes.These correlations will be helpful for future research on fundamental viral mechanisms and drug and vaccine designs. | Wenyu Shi Guomei Fan Zhihong Shen Chuan Hu Juncai Ma Yuanchun Zhou Zhen Meng Songnian Hu Yuhai Bi Liang Wang Haiying Yu Siru Lin Xiuqiang Sun Xinjiao Zhang Dongmei Liu Qinlan Sun Linhuan Wu | 2022 | mLife2022，1，1： | 0 |
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