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| 1 | A complete sequence and comparative analysis of a SARS-associated virus(Isolate BJ01)显示文摘The genome sequence of the Severe Acute Respiratory Syndrome (SARS)-associated virus provides essential information for the identification of pathogen(s), exploration of etiology and evolution, interpretation of transmission and pathogenesis, development of diagnostics, prevention by future vaccination, and treatment by developing new drugs. We report the complete genome sequence and comparative analysis of an isolate (BJ01) of the coronavirus that has been recognized as a pathogen for SARS. The genome is 29725 nt in size and has 11 ORFs (Open Reading Frames). It is composed of a stable region encoding an RNA-dependent RNA polymerase (composed of 2 ORFs) and a variable region representing 4 CDSs (coding sequences) for viral structural genes (the S, E, M, N proteins) and 5 PUPs (putative uncharacterized proteins). Its gene order is identical to that of other known coronaviruses. The sequence alignment with all known RNA viruses places this virus as a member in the family of Coronaviridae. Thirty putative substitutions have been identified by comparative analysis of the 5 SARS- associated virus genome sequences in GenBank. Fifteen of them lead to possible amino acid changes (non-synonymous mutations) in the proteins. Three amino acid changes, with predicted alteration of physical and chemical features, have been detected in the S protein that is postulated to beinvolved in the immunoreactions between the virus and its host. Two amino acid changes have been detected in the Mprotein, which could be related to viral envelope formation. Phylogenetic analysis suggests the possibility of non-human origin of the SARS-associated viruses but provides noevidence that they are man-made. Further efforts should focus on identifying the etiology of the SARS-associated virus and ruling out conclusively the existence of otherpossible SARS-related pathogen(s). | QIN E'de ZHU Qingyu YU Man FAN Baochang CHANG Guohui SI Bingyin YANG Bao PENG Wenming JIANG Tao LIU Bohua DENG Yongqiang LIU Hong ZHANG Yu WANG Cui LI Yuquan GAN Yonghua LI Xiaoyu L Fushuang TAN Gang CAO Wuchun, YANG Ruifu Institute of Microbiology and Epidemiology, Chinese Academy of Military Medical Sciences, Beijing 100071, China WANG Jian, LI Wei, XU Zuyuan, LI Yan, WU Qingfa, LIN Wei, CHEN Weijun, TANG Lin, DENG Yajun, HAN Yujun, LI Changfeng, LEI Meng, LI Guoqing, LI Wenjie, L Hong, SHI Jianping, TONG Zongzhong, ZHANG Feng, LI Songgang, LIU Bin, LIU Siqi, DONG Wei, WANG Jun, Gane K-S Wong, YU Jun & YANG Huanming* Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300 National Center for Genome Information, Beijing 101300, China | 2003 | Chinese Science Bulletin2003，48，10： | 121 |
| 2 | Functional magnetic resonance imaging and the brain: A brief review显示文摘Functional magnetic resonance imaging(fMRI) is em-ployed in many behavior analysis studies, with blood oxygen level dependent-(BOLD-) contrast imaging being the main method used to generate images. The use of BOLD-contrast imaging in f MRI has been refined over the years, for example, the inclusion of a spin echo pulse and increased magnetic strength were shown to produce better recorded images. Taking careful precautions to control variables during measurement, comparisons between different specimen groups can be illustrated by f MRI imaging using both quantitative and qualitative methods. Differences have been observed in comparisons of active and resting, developing and aging, and defective and damaged brains in various studies. However, cognitive studies using f MRI still face a number of challenges in interpretation that can only be overcome by imaging large numbers of samples. Furthermore, f MRI studies of brain cancer, lesions and other brain pathologies of both humans and animals are still to be explored. | Maggie SM Chow Sharon L Wu Sarah E Webb Katie Gluskin DT Yew | 2017 | World Journal of Radiology2017，9，1： | 4 |
| 3 | A confidence limit for the empirical mode decomposition and Hilbert spectral analysis显示文摘 | Huang Norden E Wu Man-Li C Long Steven R Shen Samuel S.P Qu Wendong Gloersen Per Fan Kuang L | 2003 | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences . 2003 (2037)2003，，2037： | 3 |
| 4 | Preparation and hybridization analysis of DNA/RNA from E. coli on microfabricated bioelectronic chips显示文摘 | Cheng Jing Sheldon E L Wu Lei Uribe A Gerrue L O Carrino J Heller M J O'Connell J P | | 0，，： | 2 |
| 5 | 全颗粒饲料对奶牛生产性能的影响显示文摘饲料中的中性洗涤纤维(NDF)含量和饲料颗粒直径是影响瘤胃功能的重要因素。试验评估了以颗粒饲料为主的奶牛瘤胃健康情况、NDF消化率和生产性能。选取8头荷斯坦母牛(336±30 d,体重346±35 kg),随机分配到交叉重复试验组中,奶牛安置于牛栏,自由采食。试验期为3周,前两周是适应期,最后一周为数据收集期。各组饲粮原料相同,但物理形式不同,分为全混合日粮(TMR)和颗粒料(直径=8 mm)。两组间物理有效NDF(pe NDF)不同,TMR组为39.8%,颗粒料组为11.8%。在试验过程中,干物质采食量(DMI)、饮水量、瘤胃反刍时间、瘤胃温度和pH情况均记录。3周后收集粪样,确定潜在的可消化NDF总消化率(pdNDF)。每阶段结束后计算平均日增重和饲料转化率。颗粒料组的DMI、DMI/体重和饮水量更高。而两组间平均日增重和饲料转化率无显著差异。颗粒料组的瘤胃反刍时间为241 min·d-1低于TMR组的507 min·d-1。饲料的不同物理外形对瘤胃温度、瘤胃pH无显著影响。TMR组的pdNDF总消化率为90.25%高于颗粒料组的86.82%。试验结果表明,动物易接受完整的颗粒饲料,DMI较高,且反刍时间减少,但瘤胃pH无显著变化。TMR组的pdNDF消化率显著增加。尽管两组奶牛在DMI和纤维消化方面表现不同,但总体表现相似,两组饲料的保存时间与其物理形式有关。在短期内,提供能满足NDF需求的完全颗粒饲料可改善瘤胃健康状况和动物生产性能,而较长时间的数据则需要进一步试验。 | Wang J Yang M Cao M Lin Y Che L Q Duraipandiyan V Al-Dhabi N A Fang Z F Xu S Y Feng B Liu G Wu D Bonfante E Palmonari A Mammi L Canestrari G Fustini M Formigoni A | 2016 | 饲料博览2016，0，12： | 2 |
| 6 | Polypropylene/montmorillonite nanocomposite review of the synthetic route and material properties显示文摘 | Manias E Toung A Wu L | 2001 | Chemistry of Material2001，，13： | 2 |
| 7 | A confidence limit for the empirical mode decomposition and Hilbert spectral analysis显示文摘 | Huang Norden E Wu Man-Li C Long Steven R Shen Samuel S.P Qu Wendong Gloersen Per Fan Kuang L | 2003 | Proceedings of the Royal Society A: Mathematical Physical and Engineering Sciences2003，，2037： | 2 |
| 8 | Aperture error mitigation via local-state estimation for frequency-based emitter location显示文摘 | Wu N E Fowler M L | 2003 | IEEE Transactions on Aerospace and Electronic Systems2003，39，2： | 1 |
| 9 | A Confidence Limit for the Empirical Mode Decomposition and Hilbert Spectral Analysis显示文摘 | Huang N E Wu M L Long S R | 2003 | Proceedings of the Royal Society of London2003，459，： | 1 |
| 10 | Control of leaf morphogenesisby mircroRNAs 显示文摘 | Palatnik J F Allen E Wu X L | 2003 | Nature2003，425，6955： | 1 |
| 11 | A confidence limit for the empirical mode decomposition and Hilbert spectral analysis 显示文摘 | Huang N E Wu M L C Long S R | 2003 | Proceedings Royal of Society A2003，459，： | 1 |
| 12 | 查看详情显示文摘 | Wang G E Qin W P Zhang J S Zhang J S Wang Y Cao C Y Wang L L Wei G D Zhu P E Wu C E Kim Ryongjin | | 0，，： | 1 |
| 13 | Surface modifications of electrode materials for lithium ion batteries显示文摘 | FU L J LIU H LI C WU Y P RAHM E HOLZE R WU H Q | 2006 | Solid State Sci2006，8，2： | 1 |
| 14 | Regulation of cathelicidin gene expression: induction by lipopolysaccharide, interleukin6,retionoic acid,and salmonella enterica serovar typimurium infection显示文摘 | Wu H Zhang G L Minton J E | 2000 | Infect Immun2000，68，10： | 1 |
| 15 | Negative capacitance at metal-semiconductor interfaces显示文摘 | Wu X Ebans H L Yang E S | 1990 | J Appl Phys1990，68，6： | 1 |
| 16 | A confidence limit for the empirical mode decomposition and Hilbert spectral analysis显示文摘 | Huang N E Wu M L long S R | 2003 | Proc Royal Society of London Series2003，459，： | 1 |
| 17 | Hourly coordination of electric vehicle operation and volatile wind power generation in SCUC显示文摘 | Khodayar M E Wu L Shahidehpour M | 2012 | IEEE Transaction on Smart Grid2012，3，3： | 1 |
| 18 | Methane cracking over a bituminous coal char显示文摘 | SUN Z-Q WU J-H HAGHIGHI M BROMLY J NG E WEE H L WANG Y ZHANG D-K | 2007 | Energy Fuels2007，21，3： | 1 |
| 19 | Bacterial cholangitis in patients with biliary atresia:impact on short-term outcome显示文摘 | H L Chen Y H Ni | 2001 | Pediatr Surg Int2001，17，： | 1 |
| 20 | Safety and effi-cacy of first-line bevacizumab-based therapy in advanced non-squamous non-small cell lung cancer(SAiL,MO19390):a phase4 study显示文摘 | Crino L Dansin E Garrido P Griesinger F Laskin J Pavlakis N Stroiakovski D Thatcher N Tsai CM Wu YL Zhou C | 2010 | Lancet Oncol2010，11，8： | 1 |
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