9 research outputs found

    Transportation Cause Troubling Crime Certain Question Research

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    近年来,惊动全国的重大交通肇事案件屡见报端,引起了全国上下关于交通肇事犯罪的关注,刑法中关于该罪规定的粗放和简单与实践中交通肇事案件的复杂形成了巨大的矛盾,同时立法和司法解释不仅存在不足,而且还存在冲突,因此,有必要对其进行修改和完善。本文以刑法基础理论为指导,结合我国的司法实践及国外的成熟立法例及经验,针对我国交通肇事罪的若干问题进行深入研究和分析。文章首先论述了交通肇事罪的立法现状,对交通肇事罪的定义、主体以及量刑等分别进行阐述。主体部分,对学术界争议较大的几个疑难问题逐一进行讨论,包括对从事交通运输的人员及非从事交通运输的人员概念的界定;对非机动车辆驾驶人、行人、乘车人是否能成为本罪的主...In recent years, alerted the country's major newspapers Traffic Accident pieces of commonplace and has caused the whole country's concern about crime, traffic accident, criminal law provisions on the crime of simple and practical Traffic Accident extensive and complex pieces of the formation of a huge contradiction, legislation and there is only a shortage of judicial interpretation, and there is ...学位:法律硕士院系专业:法学院法律系_法律硕士(JM)学号:X200612002

    联邦可视化:一种隐私保护的可视化新模型

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    概述了联邦可视化的概念、框架、方法与应用。联邦可视化框架能够在不进行数据整合的情况下,针对具体任务和特定场景进行加密训练,得出反映全体数据特征的可视化模型。联邦可视化是联邦学习框架在可视化领域的拓展应用,主要强调在保障数据隐私的前提下,互利共赢的联邦协作方式在对多数据源数据进行可视分析方面的应用,以打破各领域、各行业的数据壁垒,实现数据与知识的共享

    分子生物学技术在产甲烷古菌多样性研究中的应用

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    产甲烷菌在自然界中分布广泛,是一类重要的严格厌氧原核微生物,其参与的产甲烷作用通常发生在厌氧发酵过程的最后一步,可将无机物或有机化合物最终转化成甲烷和二氧化碳。由于产甲烷菌独特的厌氧代谢机制,使其在自然界碳素循环过程中起着重要作用,因此对于产甲烷菌的多样性以及代谢机制的研究越来越受到人们的关注。相对于传统的培养检测方法,分子生物学技术对于产甲烷菌的多样性及其群落结构的检测更为便捷、准确和科学。介绍了产甲烷古菌的系统分类学发展,系统地阐述了产甲烷菌定性和定量的分子生物学检测方法,总结了不同技术在产甲烷菌多样性研究中的最新成果,最后提出多种技术的复合应用将成为研究的热点

    以沼液为原料的微生物燃料电池产电降解特性

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    为提高生物质能源利用效率,降低废水处理成本,实验构建单室无膜空气阴极微生物燃料电池(microbial fuel cell,MFC),碳布作为阴阳极材料,将牛粪沼液作为接种液及底物进行产电性能测试,同时考察了MFC对该沼液的降解效果。结果表明,MFC能够利用沼液进行产电,最高输出电压330 mV,内阻10 kΩ,最大功率密度为10.98 mW·m^-2,沼液中的不可溶性物质是导致MFC输出电压、功率密度低的重要原因。MFC的运行对沼液中的有机物、氮、磷等物质具有一定的降解能力,24 h内去除率分别达到20.73%、67.82%、72.56%。因此,MFC作为产生电能的新方法,在联合处理沼液等有机废水节能减排方面具有广阔前景

    中国脑血管病临床管理指南(第2版)(节选)——第3章 脑血管病高危人群管理 Chinese Stroke Association Guidelines for Clinical Management of Cerebrovascular Diseases (Second Edition) (Except) ——Chapter Three Management of Patients at Hige-risk of Cerebrovascular Diseases

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    针对脑血管病的危险因素积极进行早期干预管理是减少脑血管病危害最有效的方法。本章节介绍脑血管病高危人群管理的推荐意见,包括对不可干预和可干预血管危险因素的控制,阿司匹林在缺血性卒中一级预防中的应用以及首次卒中风险评估等方面。 Abstract: Early intervention to manage the risk factors of cerebrovascular disease is the most effective way to reduce the harm of cerebrovascular diseases. This chapter presents recommendations for the management of populations at high risk for cerebrovascular disease, including control of non-interventionable and interventionable vascular risk factors, the use of aspirin in the primary prevention of ischaemic stroke, and the risk assessment of first-time stroke

    JUNO Sensitivity on Proton Decay pνˉK+p\to \bar\nu K^+ Searches

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    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 pνˉK+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 pνˉK+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 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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    JUNO sensitivity on proton decay p → ν K + searches*

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    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 pνˉK+ 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 pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 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
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