压汞法在氧化铝陶瓷膜制备中的应用

用压汞法测定非对称氧化铝(Al2O3)陶瓷膜从原料粉到支撑体和成品膜制备过程中各阶段样品的孔径及其分布、孔隙率和密度等参数,并与扫描电子显微镜(SEM)的结果进行比较。研究表明,用压汞法测定原料粉体粒子间的孔的孔径及其分布与支撑体中孔的孔径及其分布一致,其最可几孔径与理论计算结果接近,因此可以通过压汞法测定原料粉粒子间的孔的孔径及其分布来预测陶瓷膜支撑体的孔径及其分布。用压汞法测定非对称Al2O3陶瓷膜,可以直观地看出膜中多孔支撑体、过渡层和分离层各层的孔径及其分布。结合SEM的测试结果,压汞法对陶瓷膜生产过程中各样品的孔径及其分布、孔隙率、体积密度等进行了量化,合理解释了陶瓷膜生产中结构与性能的变化规律,可以用于指导陶瓷膜的生产

Architecture of a Database System

数据库管理系统（DBMS）广泛存在于现代计算机系统中，并且是其重要的组成部分。它是学术界以及工业界数十年研究和发展的成果。在计算机发展史上，数据库属于最早开发的多用户服务系统之一，因此，它的研究也催生了许多为保证系统可拓展性以及稳定性的系统开发技术，这些技术如今被应用于许多其他的领域。虽然许多数据库的相关算法和概念广泛见于教科书中，但关于如何让一个数据库工作的系统设计问题却鲜有资料介绍。本文从体系架构角度探讨数据库设计的一些准则，包括处理模型、并行架构、存储系统设计、事务处理系统、查询处理及优化结构以及具有代表性的共享组件和应用。当业界有多种设计方式可供选择时，我们以当前成功的商业开源软件作为参考标准

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