人乳头瘤病毒16型病毒样颗粒的制备及其免疫原性研究

利用PCR技术从HPV16阳性阴道分泌物标本中获得HPV16 L1基因片段,并将其插入表达载体pTO-T7中,构建重组表达质粒pTO-T7-HPV16-L1;以该重组质粒转化大肠杆菌ER2566并表达HPV16 L1蛋白;所表达的HPV16 L1蛋白经过硫酸铵沉淀、离子交换层析和疏水相互作用层析等纯化步骤后,HPV16 L1纯度达到98%以上,并可在体外装配为直径50nm的病毒样颗粒;动物免疫原性研究结果显示,该病毒样颗粒可诱导高滴度的针对HPV16的中和抗体。上述研究结果表明通过大肠杆菌表达系统制备的HPV16病毒样颗粒具有纯度高,与天然病毒颗粒形态高度相似的特点,并具有高度免疫原性,可以应用于HPV16病毒样颗粒的结构功能研究及HPV16疫苗研发等领域

基于图像的物体模型匹配姿态测量方法

本发明提供了一种基于图像的物体模型匹配姿态测量方法，主要解决了现有方法建库量大，遍历搜索不方便、每次迭代均需对模型进行投影从而导致实时应用效率低的问题。本发明所依据的原理是：将模型建库与匹配搜索分离开来；在建库完成后，对库内投影图像簇中的目标做特征描述并形成姿态特征索引文件；针对观察图像做目标特征描述；借助搜索匹配优化和特征归一化方法，在索引文件中完成目标特征匹配和姿态测量。本发明抽取特征作为图像匹配的内容，采用优化搜索，提高姿态测量效率；可以应用于其它的图像检索和测量任务；搜索匹配中不涉及模型图像投影过程，直接做图像特征之间的匹配，提高姿态测量效率

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