蒿芩清胆汤及其拆方对湿热型流感病毒性肺炎及NF-κB水平的作用研究

目的:通过观察蒿芩清胆汤及其拆方对湿热型流感病毒性肺炎及NF-κB的干预作用,以期探讨其治疗机制。方法:通过气候仓、肥甘饮食加流感病毒滴鼻感染造模成功后,蒿芩清胆汤及其拆方组以相应中药干预,比较各组肺指数、光镜下病变程度半定量、肺组织NF-κB mRNA表达水平。结果:蒿芩清胆汤及其拆方均能不同程度降低肺指数、肺部病理改变及NF-κB mRNA表达水平,其中全方效果最佳。结论:蒿芩清胆汤具有抗湿热型流感病毒性肺炎的作用,其机制可能与抑制NF-κB活化从而减少其下游炎性细胞因子分泌,截断"炎症瀑布"效应有关

流感病毒性肺炎湿热证小鼠TLR-7介导信号通路的变化

目的通过人工气候模拟,观察流感病毒性肺炎湿热证小鼠Toll样受体7(TLR-7)介导信号通路的变化,探讨病毒性疾病湿热证的物质基础。方法将50只BALB/c小鼠随机分为正常对照组10只、单纯湿热组10只、湿热模型组15只、单纯病毒组15只。单纯湿热组:全程高脂饲料喂养,连续10天置于气候箱;湿热模型组:全程高脂饲料喂养,连续10天置于气候箱,第11天接种病毒,接种病毒后不再置入气候箱;单纯病毒组:全程普通饲料喂养14天,不置入气候箱,第11天接种病毒1次,继续喂养3天,第15天处死采集标本,每组随机选取8个样本检测,比较各组TLR-7、核因子-κB(NF-κB)、髓样分化因子88(MyD88)mRNA表达水平。结果湿热模型组TLR-7、MyD88、NF-κB三者mRNA表达水平较其他3组增高,但TLR-7、MyD884组间差异无统计学意义(P>0.05),NF-κB水平湿热模型组高于其他3组(P<0.05或P<0.01)。结论湿热因素干预能上调TLR-7介导信号因子,尤其是下游信号因子NF-κB,从而激发Tol1-NF-κB信号通路,导致湿热模型组小鼠肺脏病变程度较单纯病毒组重

Current Statistical Machine Translation Research in China

2005年7月13日至15日,中国科学院自动化研究所、计算技术研究所和厦门大学计算机系联合举办了我国首届统计机器翻译研讨班。本文主要介绍本次研讨班参加单位的测试系统和实验结果,并给出相应的分析。测试结果表明,我国的统计机器翻译研究起步虽晚,但已有快速进展,参评系统在短期内得到了较好的翻译质量,与往年参加863评测的基于规则方法的系统相比性能虽还有差距,但差距已经不大。从目前国际统计机器翻译研究的现状和发展趋势来看,随着数据资源规模的不断扩大和计算机性能的迅速提高,统计机器翻译还有很大的发展空间。在未来几年内,在基于短语的主流统计翻译方法中融入句法、语义信息,必将成为机器翻译发展的趋势。Institute of Automation,Institute of Computing Technology of Chinese Academy of Sciences,and Department of Computer Science of Xiamen University held the first Statistical Machine Translation Workshop in China together,from July 13th to 15th in 2005.This paper describes the tested systems of involved institutions,and analyzes the results of their experiments.The test results show that although the research of statistical machine translation started late in China,it develops rapidly.The tested systems got quite good results in a short period.Compared with the rule-based systems reported in the formal "863"evaluation,the performance is somewhat lower;however,the difference is small.According to the state of art and the trend of international statistic machine translation research,we believe that there is still great space for the improvement of statistic machine translation,with larger-scale data resources and more powerful hardware.In near future,phrase-based method incorporated with syntax and semantic information will become the mainstream of statistical machine translation.国家自然科学基金资助项目(60272041

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies