7 research outputs found

    Comparison of Different Methods for Calculating Evapotranspiration of Crops in the Yellow River Delta

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    准确估算各地区的参考作物腾发量(ET_0)是农业灌溉设计和节水规划中必不可少的内容。利用黄河三角洲地区4个典型气候区的气象资料,选用5种计算方法(P-M, FAO-79Penman、Priestley-Taylor,FAO-24Penman和 Hargreaves-Samani)计算了 ET_0,并以P-M方法作为标准,对其他方法进行了评价。结果表明,在黄河三角洲各气候区FAO-Penman法估算的ET_0较Priestley-Taylor方法更接近于P-M法的计算结果,并且计算精度较高,误差在3%~10%之间。在缺少资料的湿润区,用Priestley-Taylor方法可以得到与P-M法估值相近的结果。</p

    Expression and test of the neutralization Fab antibody against infectious bursal disease virus

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    为表达抗鸡传染性法氏囊病病毒(IbdV)抗体fAb并检测其中和活性,本研究将抗IbdV抗体的轻链(l)和重链片段(fd)基因分别克隆于P ET-27b(+)载体中,并转化于大肠杆菌rOSETTA(dE3)进行诱导表达。将l和fd片段包涵体蛋白变性后等量混合于复性液中,制备fAb并对其进行活性鉴定。结果显示l和fd蛋白相对分子质量大小分别为25 ku和28 ku。WESTErn blOT和ElISA检测结果表明,获得的抗体fAb大小约为50 ku,并且与VP2蛋白和不同病毒株均具有特异性结合能力。体外中和试验结果表明,获得的IbdV抗体fAb具有中和活性,可以有效阻断IbdV(b87株)对鸡胚成纤维细胞(df1)的感染。本实验获得的IbdV抗体fAb有望成为治疗Ibd的候选生物制剂,为研制治疗Ibd抗体制剂奠定了基础。To express the neutralizing Fab antibody against infectious bursal disease virus(IBDV),the gene of light chain(L)or heavy chain fragment(Fd) against IBDV was cloned into the prokaryotic expression plasmid,respectively,and then the recombinant L or Fd was expressed in E.coli Rosetta(DE3),respectively,and purified through sole denaturation and co-renaturation of inclusion body.Western blot results showed that the Fab was approximately 50 ku.ELISA results showed that the Fab exhibited binding ability and specify to VP2 for different IBDV strains.The results of neutralization test in vitro showed that the Fab exhibited neutralizing activity to IBDV-B87 strainin chicken embryo fibroblast(DF1) cells.The Fab antibody prepared in this study is expected to become a candidate drug for treatment of IBD,which laid the foundation for the treatment of IBD.黑龙江省应用技术研究与开发计划项目(GC13C104

    基于FEV软件柴油发动机配气机构驱动链传动系统选型分析

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    配气机构驱动链传动系统是用以驱动发动机的配气机构,使发动机进排气门适时开闭,其选型结果直接影响发动机动力性能。在给定某款柴油发动机相关参数的基础上,首先,由理论计算得出链条所承受的最大工作张力,完成链条初选;然后,在FEV软件中建立相匹配的配气机构驱动链传动系统,输入仿真前期所需参数,通过仿真获取链条最大工作张力,再通过二者比较来完成链条终选。研究结果表明,这种链条的选型方法是可行的,并已经成功应用在链条生产企业配套选型中

    黄河三角洲参考作物腾发量计算方法适宜性研究

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    准确估算各地区的参考作物腾发量(ET_0)是农业灌溉设计和节水规划中必不可少的内容。利用黄河三角洲地区4个典型气候区的气象资料,选用5种计算方法(P-M, FAO-79Penman、Priestley-Taylor,FAO-24Penman和 Hargreaves-Samani)计算了 ET_0,并以P-M方法作为标准,对其他方法进行了评价。结果表明,在黄河三角洲各气候区FAO-Penman法估算的ET_0较Priestley-Taylor方法更接近于P-M法的计算结果,并且计算精度较高,误差在3%~10%之间。在缺少资料的湿润区,用Priestley-Taylor方法可以得到与P-M法估值相近的结果

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

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    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 pνˉK+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 pνˉK+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 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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

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    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 pνˉK+ 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 pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 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
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