Corporate Credit Business Processes and Credit Risk Management Study——ICBC as an example

银行是以其信用为基础而存在的行业，其高负债、高风险的行业特点决定了风险管理是银行核心工作内容。风险管理水平的高低已成为商业银行的核心竞争力的体现。目前我国商业银行面临着信用、市场、操作等各式各样的风险。由于我国商业银行主要资产是信贷资产，收入主要来源也是信贷利息收入，因此信用风险是所有风险中的主要风险，信贷风险管理也是商业银行的核心业务。信贷风险管理理论与方法具有多样性，其中信贷业务流程控制的信贷风险管理就是其中一种重要信贷风险管理方法。信贷风险管理流程的设计与改造已成为建设先进银行的关键所在。本文通过介绍信贷风险管理理论，结合工行现行法人客户信贷业务流程现状，对现行信贷业务流程控制的信贷业务...Bank credit is the basis of its existence the industry. High debit and high risk are the features of the bank. Risk management skills illustrates whether the bank has core competencies. Currently Chinese commercial bank faces credit, market and operations risks. Because our bank’s main asset is credit and income is mainly from credit interests. Therefore credit risk is the main risk among all...学位：工商管理硕士院系专业：管理学院高级经理教育中心（EMBA项目）_高级管理人员工商管理硕士(EMBA)学号：X200715615

基于多GPU的正则表达式匹配技术

针对传统正则匹配性能低下的问题,设计了基于多GPU的正则表达式匹配引擎,并采用折半分组优化算法解决了有限状态自动机在大规模正则集合情况下由于空间爆炸无法使用的问题,并做了相关的优化,提升了数据匹配速度.实验结果表明:基于多GPU的正则表达式匹配性能较CPU提升了61倍,其数据吞吐率远优于其他加速方式

树脂对6-氨基青霉烷酸的吸附研究

本实验采用十三种树脂对6-氨基青霉烷酸(6-APA)进行吸附的研究。分别在搅拌2个小时、静置8个小时及搅拌8个小时三种情况下测定各种树脂对6-APA的单位吸附量和吸附率,筛选出能够较好吸附6-APA的树腊。结果表明,弱碱性阴离子树脂对6-APA的吸附效果良好

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