The Role of Internal Audit in Internal Control Evaluation of Nuclear Power Enterprises—F Nuclear Power Enterprise Case Analysis

内部控制为保护企业财务资产安全、提供完整和可靠的信息、预防和降低风险提供了有效手段。随着我国市场经济的进一步完善，内部控制已经成为现代企业管理的重要手段之一，且愈来愈被企业内部管理层给予重点关注。内部审计站在企业独立、客观的第三者视角，运用专业的审计技能开展内部控制评价,是提高企业管理水平和完善内部控制的需要，也是当今企业内部审计重点工作之一。 核电项目建设投资巨大，政策、工期、设备、贷款等一系列挑战，给核电项目的建设带来诸多不可控因素，内部控制体系的健全、规范对企业健康发展起着十分关键的意义。当前，核电行业疾速发展，探究核电建设项目的内部控制评价，将在加强核电建设项目投资控制、提高项目经济...Internal control is an important method to protect the enterprise’s economic resources safety, information reliability, prevent loopholes in management. With the development of market economy in China, Internal Control has become an important tool for modern enterprise management, and is being taken more and more attention to by enterprises. As the thirdindependentmechanism, Internal Audit uses th...学位：会计硕士院系专业：管理学院_会计硕士学号：X201115703

MW级风电增速齿轮箱高速轴轴承高温问题研究

针对MW级风电增速齿轮箱经常发生高速轴轴承高温，导致风电机组无法正常工作的情况，以发生高速轴轴承高温问题的齿轮箱为研究对象，进行设计分析，找出影响轴承高温的3个因素：轴承摩擦功率损耗Pbf、轴承润滑油功率消耗Poil及机舱空气温度Tc；对3个因素进行详细分析，从而找到相应的防范措施。同时，用分析的高温影响因素对风场运行中高速轴轴承高温机组进行排查，最终找出轴承高温原因为轴承游隙偏小所致

PHD2基因原核表达载体的构建及其在大肠埃希菌中的表达

目的构建PHD2基因原核表达载体pET43.1b(+)-PHD2,实现Nus-PHD2融合蛋白在大肠埃希菌中的可溶性表达。方法用Sac I酶切pET43.1b(+)制备线性化载体,设计与线性化载体两端具有至少15个同源序列的特异性引物,以真核重组质粒pCMV6-Entry-EGLNl为模板,PCR法扩增PHD2目的基因。采用In-Fusion技术构建原核表达载体pET-43.1b(+)-PHD2,并将其导入大肠埃希菌BL21 (DE3)中诱导表达。用SDS-PAGE和Western blot分析并鉴定表达出的融合蛋白。用Ni-NTA亲和层析法纯化目的蛋白。结果成功构建了PHD2原核表达载体;SDS-PAGE结果显示融合蛋白以可溶性形式表达;Western blot鉴定表明融合蛋白可以与PHD2单克隆抗体特异性结合。结论实现了 Nus-PHD2融合蛋白在大肠埃希菌中的可溶性表达,为PHD2生物学功能的研究奠定了基础

具有吸附和杀灭病毒活性的纳米催化剂

本发明涉及催化剂领域，具体公开一种具有吸附和杀灭病毒活性的纳米催化剂。它是在多孔氧化物载体上负载有金属纳米材料。多孔氧化物载体可以是天然沸石、人工合成的分子筛，多孔硅胶，氧化铝、氧化钛等。金属纳米材料可以是Ag、Cu、Zn、Au、Pt等。本发明纳米催化剂对多种病毒，如流感病毒、副流感病毒、呼吸道合胞病毒和腺病毒等都具有显著的吸附和杀灭作用。带填

过滤、吸附及灭活病毒的纳米催化材料的快速筛选方法

本发明涉及催化材料，具体地说是一种过滤、吸附及灭活病毒的纳米催化材料的快速筛选方法，具体操作为：1)以100～1000个碱基的核酸分子片段作为探针，采用喷洒或浸泡的方式将核酸分子吸附于催化剂上，然后用不少于探针原液9倍的水进行洗脱，筛选出吸附能力强的、即吸附量为原液重量60％)以上的催化剂；2)将上述步骤选取的催化剂对目标病毒进行吸附、洗脱，对催化剂用水或生理盐水一次或多次洗脱，然后对洗脱液中的病毒进行传统的活性检测；筛选出对病毒的过滤、吸附及灭活作用好的、即吸附量为原液重量95％的催化剂。本发明首先以核酸分子作为探针，建立了对纳米催化材料吸附性能和抗水性能进行快速筛选和评价的方法。带填

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

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