Design and Implementation of Professional Management System for Coal Tax

摘要 2010年，国税总局提出实行税收专业化管理，概括为“科学分类、探索规律、整合资源、集约管理”，科学分类包括分规模、分行业、分重点，其中分行业管理推行以风险管理为导向。 随着煤炭行业发展，煤炭税收是我市继烟草行业之后的重点产业，我市国家税务局为规范煤炭行业税收征管秩序，提高煤炭行业税收管理质量，已探索出了一套行之有效的专业化管理办法，但由于没有信息化技术的支撑，基本是人工采集数据和处理数据，基层税务工作人员的工作量特别大，导致这套管理办法很难持久执行，也很难在全市进行推广使用，因此，构建一个稳定、高效、实用的煤炭税收专业化管理平台迫在眉睫。 本文以A市国家税务局实施实施煤炭税收专业化...Abstract In 2010, the State Administration of Taxation propose to implement tax professional management, summarized as "scientific classification, discover the law, integration of resources, intensive management, scientific classification include sub-scale, sub-sector, sub focus, in which the sub-industry management-oriented implementation of risk management. With the development of the coal ind...学位：工程硕士院系专业：软件学院_工程硕士(软件工程)学号：X201123030

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