斜带石斑鱼MyD88基因的克隆与表达

本研究运用RACE-PCR技术获得斜带石斑鱼(Epinephelus coioides)髓样分化因子88(myeloid differentiation factor 88,MyD88)基因,并对该基因进行生物信息学和表达模式分析。研究结果表明1795bp的cDNA全长序列,包括ORF 870 bp、5'UTR 243 bp和3'UTR 682 bp,3'UTR存在1个多聚腺苷酸加尾信号(AATAAA)和两个mRNA不稳定基序(ATTTA)。SMART软件预测该蛋白N端和C端分别存在死亡结构域和TIR结构域(Toll/IL-1 receptor homology domain,TIR);与其它脊椎动物MyD88的序列同一性达57.1%～78.7%;用NJ法构建的系统进化树中,斜带石斑鱼MyD88和其它已报导的鱼类MyD88聚为一枝。qPCR检测结果显示MyD88基因mRNA主要表达于肝脏、脾脏、头肾和胸腺等组织。本研究为进一步探讨MyD88在斜带石斑鱼TLR信号传导中的作用奠定基础

镜面起伏对1.55 μm Si基MEMS光滤波器的影响

用传输矩阵方法，在简化的光学模型基础上，分别讨论了分布式Bragg反射镜DBR（Distributed Bragg Reflector）的生长精度及镜面起伏对1.55 μm Si基MEMS（Micro-Electro-Mechanical-System）可调谐光滤波器透射谱的影响。计算表

大型水利工程影响区水文生态系统变化及调控研究

《大型水利工程影响区水文生态系统变化及调控研究》系河南省科技攻关计划项目,编号为0224660030。本项目的研究成果：提出采用水文系统变异性研究方法、生态环境演变趋势研究方法,来量化研究大型水利工程水文生态效应;总结提出一种水量～水质～生态耦合系统“多箱模型”(Multi-box modeling method)方法,建立了水文-生态耦合系统模型;提出“基于DEM的流域分布式水文模型研制方法”;基于RS和GIS相结合技术、可持续发展思想,建立了大型水利工程影响区生态环境调控理论框架,为制定一般大型水利工程影响区生态环境调控对策提供理论依据;研究水文生态效应及调控对策;研究生态环境动态变化

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