湖北地区汉滩病毒与普马拉病毒及多布拉伐病毒的血清学交叉反应研究

目的研究湖北地区汉滩病毒(hantaan virus,HTNV)与普马拉病毒(Puumala virus,PUUV)、多布拉伐病毒(Dobrava virus,DOBV)血清学交叉反应。方法以酵母菌表达的PUUV、DOBV、HTNV重组核衣壳蛋白(recombinant nucleocapsid protein,rNP)为包被抗原,ELISA法定性、定量分析湖北地区HTN型急性/恢复期血清中IgA、IgG、IgM抗体,比较疾病早晚期血清学交叉反应变化。结果DOB-rNP与HTN型血清中IgA、IgG、IgM抗体交叉反应性较高,PUU-rNp对HTN型血清交叉反应很低;IgA、IgG抗体交叉反应在恢复期血清中均增高,且IgA抗体交叉反应更多更强。结论湖北地区HTN型血清与DOBV存在广泛交叉反应,与PUUV交叉反应少。各交叉反应在恢复期增高对汉滩病毒血清学研究具重要意义

四种大黄多糖体外抗轮状病毒的实验研究

目的研究4种大黄多糖(A、B、C、D)以及其配伍体外抗轮状病毒(RV)作用。方法在体外用MTT法检测药物的毒性作用,从抗吸附、直接杀伤和抑制病毒增殖3方面检测4种大黄多糖抗RV的效果;并依中效原理,对大黄多糖A、C进行配伍,研究其体外抗病毒的作用,并探讨最适配伍比例。结果4种大黄多糖体外有预防RV感染和抑制病毒增殖作用。A、C以1∶1配伍后,对病毒的直接杀伤的合用效应与合用指数关系:当fa为≤0.68时,CI≤1,两药作用相加或协同。对病毒的增殖抑制的合用效应与合用指数关系:当fa为≤0.57时,CI≤1,两药作用相加或协同。结论4种大黄多糖体外具有较好地抗RV病毒作用,且大黄多糖A、C合用效果对病毒的直接杀伤作用和抑制病毒增殖作用优于其单独使用

Detection of Hantavirus Genome by New Pairs of Hantavirus Universal Primers in HFRS Patients Serum

目的:提高汉坦病毒(HV)的检出率。方法:设计了两对新的汉坦病毒(HV)通用引物,建立新的RT-PCR方法,对流行于湖北省不同地区的肾综合征出血热(HFRS)患者血清进行了检测。结果:在对166份血清中HV RNA的检测显示HTN型阳性率为80.1%(133/166),SEO型为19.9%(33/166);对不同浓度的HV RNA检测结果显示,本法最低可检测出血清中72 pg病毒基因组。结论:说明本法用于检测HFRS患者血清中HV RNA的特异性和敏感性均很高,且我国中部地区HFRS流行以HTN为优势型,这一结果不仅为HFRS的诊断提供了新的手段,也为HFRS的防治提供了新的依据。 【英文摘要】 Objective: To improve the detection rate of Hantavirus.Methods: Two new pairs of Hantavirus universal primers was designed to detect the Hantavirus genome RNA in hemorrhagic fever with renal syndrome(HFRS) patient s serum in Hubei Province by RT-PCR.Results: In the 166 serum,80.1%(133/166) were detected to be HTN and 19.9%(33/166) were SEO in serology typing.At the same time,even a low level of Hantavirus genome RNA(≥72 pg) could be detected by this method.Conclusion: It is an excellent method to detect Han...国家“863”计划(编号:2007AA02Z465);; 国家自然科学基金资助项目(编号:30770096

干旱区绿洲散耗型水文模型及其在塔里木河流域的应用

该项目主要内容包括干旱区绿洲水文过程特点的分析：分析了干旱区水文气象特点、土地利用特点以及水量引用、输送（散流）、转化、消耗等水文过程；绿洲散耗性水文模型的建立：在散耗型流域概念基础上，构建了绿洲散耗性水文模型的理论体系和实现框架，提出并建立了干旱区绿洲散耗性水文模型；模型的应用与分析：利用所建立的散耗型水文模型，对喀什、阿克苏、巴州、克州与和田等绿洲的水文循环过程进行了模拟，分析了现状条件下绿洲内水分运动、转化、消耗、利用的规律，结合绿洲水土资源管理规划、重大建设工程的立项与地下水开发利用等问题进行情景分析的模型模拟。 成果类别： 应用技

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

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