A Study on Roles of Slit2 in Hepatocellular Carcinoma Cells

Slit家族蛋白是一种进化上高度保守的细胞外分泌糖蛋白。对Slit的研究最初的重点是它在神经生长的作用，Slit作为配体通过与跨膜受体Roundabout(Robo)结合在中枢神经系统轴突导向中起到重要的作用。近些年的研究发现Slits与Robos在一些肿瘤中异常表达，说明Slit/Robo信号在肿瘤的发生发展过程中起到重要的作用。 Oncomine数据库的检索结果显示，与正常组织相比，肝细胞癌中受体Robo1的表达量有显著的增加，而Slit2的表达量则有一定的差别，多数情况下表现为下调。并且多数研究发现，在不同的肿瘤中配体Slits与受体Robos的表达存在着不一致性，而且Slit/Rob...Slits are a family of secreted glycoprotein conserved in evolution. Early research of Slits was focused on their effects in neuronal guidance. Binding with a transmembrane receptor family of Roundabout (Robo), the ligand Slit plays a critical role in the central nervous system (CNS) axonal guidance. Recent studies showed that both Slits and Robos were abnormally expressed in some cancers, indicati...学位：理学硕士院系专业：生命科学学院_细胞生物学学号：2162012115245

Application of sequence quadratic programming algorithm to deconvolution of molecular weight distributions of polypropylene

以多活性中心催化剂而言,确定活性中心的数目是模拟催化反应动力学及后续反应工程的前提之一。工业上常用的聚丙烯Ziegler-Natta催化剂具有多活性中心的特点。因此,用Ziegler-Natta催化剂催化的丙烯聚合工程模拟前,需要确定该催化剂的活性中心数目。为了确定其活性中心数目,用序贯二次规划算法、实测的聚合产物分子量分布曲线(GPC)和多个单活性中心的分子量分布函数,拟合聚丙烯样品的分子量分布,得到最可能的催化剂活性中心个数和每个催化剂活性中心的分子量分布(GPC解析)。此外,以工业现场样品的GPC数据为例,解析GPC。结果,用序贯二次规划算法确定Ziegler-Natta催化剂的活性中心数及相应分子量的分布与权重较为准确。It is necessary to obtain the number of the active site in order to study the kinetics and engineering simulation of the reaction catalyzed by the catalysts with multi active sites.In addition,the Ziegler-Natta propylene catalyst is the catalyst with multi active center sites,which results in broad molecular weight distribution of polypropylene produced.Accordingly,it is also important to confirm the number of the most probable active sites before study on the propylene polymerization simulation.We introduced sequence quadratic programming algorithm (SQP) to calculate the number of the multi active sites by fitting the broad molecular weight distribution curve of the polypropylene sample with more than one molecular weight distribution curves of single-active-site type.Furthermore,the indus- trial polypropylene samples were used to test the SQP.The results show that the method discussed here had the capability to calculate the number of the most probable site types and the molecular weight distribution of each site type,as well as the weight fraction of the polymer produced by each site type,respectively.中国石油兰州化工研究中心资助项

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