灾害护理能力评估工具的分析

通过回顾国内外灾害护理能力评估工具现状,对其外部特征、测量学特征、理论基础、主要维度和使用情况等方面进行分析,旨在为后续工具研制和选用提供参考

横断山脉彝族山区四川省宁南县农村能源综合建设试点

从宁南县能源种类的多样性和社会经济现状出发，利用系统工程原理，以软科学 为指导，以硬技术为基础，以综合效益为目标，把研究和引进的一批适用技术优 化配套，通过试验示范，建立了不同地带（低山河谷区;中低山区;高中山区） 的能源综合建设模式，取得了明显的经济;社会;生态效益。试验点五年取得经 济效应１５５７万元，森林覆盖率增加７．５７％，水土流失得到控制，土壤水 肥状况改善，促进了生产发展。该成果对同类地区的能源发展有重要的借鉴意义

新疆国界管理信息系统

该项目建立了新疆国界综合数据库,将与国界管理相关的地图、航空相片、卫星影像、数字地面模型、文档文献、多媒体材料等进行合理的组织和规划,以地理信息系统为基本手段,在空间数据库的基础上,集成各种数据和资料,形成一个开放式、规范化的综合性大型多尺度数据库;同时建立新疆国界管理应用系统,在建立管理对象模型的基础上,进行新疆国界地理空间数据检索查询、空间数据分析、三维虚拟平台、仿真飞行等应用系统。该系统全面提高了新疆国界管理的信息化能力以及新疆边界划界及管理的决策支持能力。该系统还结合三维虚拟现实技术,开发三维虚拟现实应用平台,用先进的展示手段使决策者对不同管理、决策方案运用的利害得失与时空过程有全面的..

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