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Expressional and Biochemical Characterization of Rice Disease Resistance Gene Xa3/Xa26 Family

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Journal of Integrative Plant Biology 2007年第6期49卷 852-862页

作者： Songjie xu yinglong Cao Xianghua Li Shiping Wang State Key Laboratory of Crop Genetic Improvement National Center for Gene Research of Plant (Wuhan) Huazhong Agricultural University Wuhan 430070 China

The rice （Oryza sativa L.） Xa3/Xa26 gene, conferring race-specific resistance to bacterial blight disease and encoding a leucine-rich repeat （LRR） receptor kinase-like protein, belongs to a multigene family consisting of tandem clustered homologous genes, colocalizing with several uncharacterized genes for resistance to bacterial blight or fungal blast. To provide more information on the expressional and biochemical characteristics of the Xa3/Xa26 family, we analyzed the family members. Four Xa3/Xa26 family members in the indica rice variety Teqing, which carries a bacterial blight resistance gene with a chromosomal location tightly linked to Xa3/Xa26, and five Xa3/Xa26 family members in the japonica rice variety Nipponbare, which carries at least one uncharacterized blast resistance gene, were constitutively expressed in leaf tissue. The result suggests that some of the family members may be candidates of these uncharacterized resistance genes. At least five putative N-glycosylation sites in the LRR domain of XA3/XA26 protein are not glycosylated. The XA3/XA26 and its family members MRKa and MRKc all possess the consensus sequences of paired cysteines, which putatively function in dimerization of the receptor proteins for signal transduction, immediately before the first LRR and immediately after the last LRR. However, no homo-dimer between the XA3/XA26 molecules or hetero-dimer between XA3/XA26 and MRKa or MRKc were formed, indicating that XA3/XA26 protein might function either as a monomer or a hetero-dimer formed with other protein outside of the XA3/XA26 family. These results provide valuable information for further extensive investigation into this multiple protein family.

关键词： bacterial blight expression glycosylation multigene family Oryza sativa.

Typhoon Track,Intensity,and Structure:From Theory to Prediction

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Advances in Atmospheric Sciences 2022年第11期39卷 1789-1799页

作者： Zhe-Min TAN Lili LEI Yuqing WANG yinglong xu Yi ZHANG Key Laboratory of Mesoscale Severe Weather Ministry of Educationand School of Atmospheric SciencesNanjing UniversityNanjing 210063China International Pacific Research Center and Department of Atmospheric SciencesSchool of Ocean and Earth Science and TechnologyUniversity of Hawaii at ManoaHonoluluHawaii 96822USA National Meteorological Center of CMA Beijing 100081China

To improve understanding of essential aspects that influence forecasting of tropical cyclones(TCs),the National Key Research and Development Program,Ministry of Science and Technology of the People's Republic of China conducted a five-year project titled“Key Dynamic and Thermodynamic Processes and Prediction for the Evolution of Typhoon Intensity and Structure”(KPPT).Through this project,new understandings of TC intensification,including outer rainbanddriven secondary eyewall formation and the roles of boundary layer dynamics and vertical wind shear,and improvements to TC data assimilation with integrated algorithms and adaptive localizations are *** promote a breakthrough in TC intensity and structure forecasting,a new paradigm for TC evolution dynamics(i.e.,the correlations,interactions,and error propagation among the triangle of TC track,intensity,and structure)is proposed;and an era of dynamic-constrained,big-data driven,and strongly coupled data assimilation at the subkilometer scale and seamless prediction is expected.

关键词： typhoons track intensity structure theories predictions

基于土地利用变化的湖南省生态服务功能时空变化

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国土资源导刊 2024年第2期21卷 93-101页

作者：寻瑞周湛曦胥应龙卢子龙湖南农业大学风景园林与艺术设计学院湖南长沙410128

生态系统服务会随着土地利用的变化而产生相应的变化。基于1990年、2005年、2018年三期土地利用数据,借助ArcGIS与InVEST模型对研究期限内的生境质量、碳储量、产水量、水质净化、土壤保持5种生态系统服务进行整体评估。研究结果表明:... 详细信息

生态系统服务会随着土地利用的变化而产生相应的变化。基于1990年、2005年、2018年三期土地利用数据,借助ArcGIS与InVEST模型对研究期限内的生境质量、碳储量、产水量、水质净化、土壤保持5种生态系统服务进行整体评估。研究结果表明:近29年来湖南省土地利用结构基本稳定,林地面积占比最大,未利用地占比最小。各类土地面积变化较小,但是相互转化较为频繁。在5种生态系统服务中,只有水质净化服务功能小幅提升,其余4种生态服务功能均呈现不同程度的下降。其中生境质量、土壤保持服务功能下降速率持续加剧,产水量与碳储量服务功能虽然仍在下降,但是近期下降速率逐渐放缓,呈现好转趋势。

关键词：生态系统服务土地利用变化 InVEST模型湖南省

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EFFECT OF LIPOSOMAL TRANSFECTION OF HTERT ON APOPTOSIS OF NEWBORN RAT COCHLEAR BASILAR MEMBRANE CELLS

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Journal of Otology 2012年第2期7卷 105-108页

作者： xu yinglong LIU Hui WANG Junli xu Min Department of Otolaryngology the second Affiliated HospitalMedical School of Xi'an Jiaotong University Department of Otolaryngology Shaanxi Provincial People'sHospital

Objective The aim of this study is to investigate the effect of transfected hTERT gene on cell apoptosis of newborn rat cochlear basilar membrane cells (CBMCs). Methods CBMCs isolated from newborn rat cochlear were transfected using a plasmid containing human telomerase reverase transcriptase gene (pCI-neo-hTERT) , and were screened using G418 to obtain stable transfected cell lines. Cell apoptosis rate was analyzed by flow cytometry. hTERT and apoptosis related genes expression were detected by reverse transcriptase polymerase chain reaction (RT-PCR). Results hTERT gene expression was detected 72 hours after gene transfection in transfected cells. The apoptotic rate of transfected CBMCs significantly reduced. Expression of apoptosis related genes correspondingly changed. Conclusion Transfection of hTERT gene leads to reduced apoptosis rate in newborn rat *** lower expression of apaf1, Caspase3 and BCL2 in transfected cells as compared to that of normal CBMCs.

关键词： cochlear basilar membrane cel(lCBMC) hTERT rat apoptosis

2203号台风“暹芭”的路径预报偏差及思考

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海洋气象学报 2024年第1期44卷 97-107页

作者：郭乙莹周冠博黄奕武吕心艳王皘张进许映龙国家气象中心北京100081 中国气象局上海台风研究所上海200030 中国气象局地球系统数值预报中心北京100081

针对2022年第3号台风“暹芭”的主要特点和预报难点问题进行分析和研究,得出如下主要结论:“暹芭”是2022年首个登陆我国的台风,在华南登陆减弱后,其残余环流继续北上,与西风带系统共同影响我国华中、华东、华北及东北等地的部分地区;... 详细信息

针对2022年第3号台风“暹芭”的主要特点和预报难点问题进行分析和研究,得出如下主要结论:“暹芭”是2022年首个登陆我国的台风,在华南登陆减弱后,其残余环流继续北上,与西风带系统共同影响我国华中、华东、华北及东北等地的部分地区;累计雨量大、风雨强度强;台风外围出现多个龙卷。主要的预报难点问题有:弱台风准确定位问题表现突出,引进新的卫星产品有助于提高定位精度;72 h路径预报的偏差问题主要是由于模式对东台风、大陆高压和南压高压、西风急流等关键系统的预报偏差引起;台风登陆后北上长时间维持(含减弱后的残涡)的预报问题需关注持续的水汽通道和高层出流条件变化。

关键词：台风“暹芭” 路径调整预报难点弱台风定位长时间维持

NUMERICAL EXPERIMENTAL STUDY FOR THE EFFECT OF A BINARY TYPHOON SYSTEM ON THE EXTREME RAINFALL OF TYPHOON MORAKOT(0908)

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Tropical Cyclone Research and Review 2014年第1期3卷 35-43页

作者： yinglong xu XINYAN LU Chinese Academy of Meteorological Sciences BeijingChina Nanjing University of Information Science and Technology NanjingChina National Meteorological Center of CMA BeijingChina

A high-resolution numerical simulation of the extreme rainfall caused by typhoon Morakot(0908)over Taiwan Province,China,was made using the WRF-ARW/NCAR model(Version 3.2),ERA Interim reanalysis data(resolution:1.5°×1.5°)from the European Centre for Medium-Range Weather Forecasts(ECMWF),and global real-time sea surface temperature analysis data(RTG_SST,0.5°×0.5°)from NCEP/*** numerical simulation results showed that the extreme rainfall caused by Morakot over Taiwan was closely related to water vapor transport of the southwesterly ***,the effect of a binary typhoon system between Morakot and Severe Tropical Storm Goni(0907)was also an important *** strengthened the intensity of the southwesterly flow and the water vapor transport to Morakot and resulted in the heavy rainfall increasing over central and southern mountainous areas of ***,the effect of the binary typhoon system increasing the northward component of the track of Morakot,and the typhoon’s slow translation to Taiwan,caused the longtime and persistent severe rainfall over southern *** removing Goni’s circulation in the model initial field,the cumulative precipitation was greatly reduced by 35.78%,33.03%and 31.5%in the 18-,6-and 2-km resolution model results,respectively.

关键词： typhoon Morakot binary typhoon system extreme rainfall numerical simulation

Unusual tracks:Statistical,controlling factors and model prediction

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Tropical Cyclone Research and Review 2023年第4期12卷 309-322页

作者： Ying Li Julian Heming Ryan D.Torn Shaojun Lai yinglong xu Xiaomeng Chen State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijingChina UK Met Office ExeterUK State University of New York New YorkUSA Fujian Key Laboratory of Severe Weather FuzhouChina Fujian Observatory of Pingtan Marine Meteorology PingtanChina Chinese Meteorological Center BeijingChina Fujian Provincial Meteorological Service Center FuzhouChina

The progress of research and forecast techniques for tropical cyclone(TC)unusual tracks(UTs)in recent years is reviewed.A major research focus has been understanding which processes contribute to the evolution of the TC and steering flow over time,especially the reasons for the sharp changes in TC motion over a short period of *** TCs are located in the vicinity of monsoon gyres,TC track forecast become more difficult to forecast due to the complex interaction between the TCs and the ***,the convection and latent heat can also feed back into the synoptic-scale features and in turn modify the steering *** this report,two cases with UTs are examined,along with an assessment of numerical model *** in numerical modelling and in particular the development of ensemble forecasting systems have proved beneficial in the prediction of such *** are still great challenges in operational track forecasts and warnings,such as the initial TC track forecast,which is based on a poor pre-genesis analysis,TC track forecasts during interaction between two or more TCs and track predictions after ***,artificial intelligence(AI)methods such as machine learning or deep learning have been widely applied in the field of TC *** TC track forecasting,a more effective method of center location is obtained by combining data from various sources and fully exploring the potential of AI,which provides more possibilities for improving TC prediction.

关键词： Unusual TC tracks Track controlling factors Track predictions Track forecast errors

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光伏储能环境一体机工作机理与性能优化研究

建设科技 2024年第10期 13-16,23页

作者：邢金来邓滨涛张时聪许英龙林晓倩孙美云天津大学天津300192 河北绿色建筑科技有限公司保定074000 中国建筑科学研究院有限公司北京100013

超低能耗建筑、近零能耗建筑、零能耗建筑乃至当前的零碳建筑均提出充分利用建筑本体和周边的可再生能源。光伏储能环境一体机系统是通过光伏发电、储能技术同环境一体机藕合,充分利用可再生能源,实现光伏发电储能与市电柔性用电。本文... 详细信息

超低能耗建筑、近零能耗建筑、零能耗建筑乃至当前的零碳建筑均提出充分利用建筑本体和周边的可再生能源。光伏储能环境一体机系统是通过光伏发电、储能技术同环境一体机藕合,充分利用可再生能源,实现光伏发电储能与市电柔性用电。本文从不同供能方式的对比分析提出光伏储能环境一体机系统的适用性,介绍了该系统的工作机理与性能优化。

关键词：零能耗建筑光储能环境一体机工作机理性能优化

A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing

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Machine Intelligence Research 2024年第2期21卷 400-410页

作者： Dezheng Wang yinglong Wang Fan Yang Liyang xu Yinong Zhang Yiran Chen Ning Liao School of Automation Southeast UniversityNanjing 210096China Software and Artificial Intelligence College Chongqing Institute of EngineeringChongqing 400056China Beijing National Research Center for Information Science and Technology(BNRist) Department of AutomationTsinghua UniversityBeijing 100084China Liangjiang International College Chongqing University of TechnologyChongqing 401135China Smart City College Beijing Union UniversityBeijing 100101China

In industrial process control systems,there is overwhelming evidence corroborating the notion that economic or technical limitations result in some key variables that are very difficult to measure *** data-driven soft sensor is an effective solution because it provides a reliable and stable online estimation of such *** paper employs a deep neural network with multiscale feature extraction layers to build soft sensors,which are applied to the benchmarked Tennessee-Eastman process(TEP)and a real wind farm *** comparison of modelling results demonstrates that the multiscale feature extraction layers have the following advantages over other ***,the multiscale feature extraction layers significantly reduce the number of parameters compared to the other deep neural ***,the multiscale feature extraction layers can powerfully extract dataset ***,the multiscale feature extraction layers with fully considered historical measurements can contain richer useful information and improved representation compared to traditional data-driven models.

关键词： Multi-scale feature extractor deep neural network(DNN) multirate sampled industrial processes prediction