7 research outputs found

    Consensus Algorithm of the Second-order Network with Multiple Time-varying Delays

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    研究了二阶动态无向网络的一致性问题,其采用的协议既考虑了时滞,又考虑了网络拓扑结构发生切换的影响.通过分析发现,当网络受到多个时变时滞或者同时受到网络拓扑结构发生切换的影响时,在一定条件下,该无向网络能实现一致.另外在频率域里,还求出了任意两个不同自主体之间通信所允许的一个共同时滞上界.这个上界是依赖于网络参数的,因此具有更低的保守性.This paper discusses the second-order consensus algorithm for the network with multiple time-varying delays.The studied protocol is affected not only by the time delays but also by the switching topologies of a network.The study shows that the network can achieve consensus if certain conditions are satisfied.The conditions are inferred by introducing a special Lyapunove function.Furthermore,we attain a common upper bound time-delays by discussing the problem in frequency domain.This implies that the network can achieve consensus,when the time delays generated by agent communication are lower than the upper bound time-delay.Moreover,the common upper bound time-delay is dependent on the parameters of the network which can reduce its conservatism.Finally,we also discuss the case of the switching topologies.In this case,the network can also achieve consensus.福建省自然科学基金(A0510002);厦门大学“985工程”二期信息创新平台项目资

    机械活化辅助浸出硫化镍矿中有价金属

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    随着高镍三元锂电池在新能源电动汽车领域的规模化应用,全球镍资源的需求量日益增加,绿色、高效、低成本地从硫化镍矿资源中提取镍的技术备受关注。本工作提出了机械活化辅助氧化浸出硫化镍矿的提取路径,在机械活化过程中通过改变硫化镍矿结构、增加晶体无序化程度、减小粒度和增加比表面积增加硫化镍矿的反应活性,再通过Na_2S_2O_8氧化浸出实现了常压环境中硫化镍矿中有价金属的高效浸出。考察了机械活化和浸出过程中各因素对硫化镍精矿浸出的影响,确定了较优条件。在较优条件球磨转速613 r/min、球料比20:1、球磨时间120 min、酸浓度2 mol/L、过硫酸钠浓度0.42 mol/L、浸出时间60min、液固比5:1、搅拌速率400 r/min和浸出温度80℃下,Ni, Co, Cu和Fe的浸出率分别达98.9%, 97.7%, 98.2%和98.7%

    A standardized checklist on meta-analysis reporting in the open science era

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    荟萃分析(又称元分析)以量化方式综合实证研究结果,是积累整合证据并推进基础与应用研究的重要工具.在开放式科学这种新型研究实践下,荟萃分析是整合开放数据、进行科学推断的重要手段.但荟萃分析的过程繁复、方法多样,其执行上的严谨性对荟萃分析质量影响较大,因此报告的透明性和开放性对其结果的可重复性尤为重要.为了解中文荟萃分析报告规范性的现状,让更多研究者了解荟萃分析报告的规范性与透明性,提升荟萃分析报告的质量,本文以国际学界广泛使用的系统综述和荟萃分析优先报告条目(Preferred Reporting Items for Systematic reviews and Meta-Analyses, PRISMA)以及开放式科学理念为基础,结合基于效应量的荟萃分析报告特点,拟定《开放与可重复荟萃分析的报告清单》(Preferred Reporting Items for Open and Reproducible Metaanalysis, PRIOR-MA),并以心理学中的荟萃分析为例,对近五年国内发表的68篇中文荟萃分析的方法和结果部分进行回顾.基于结果,本文建议荟萃分析报告需要在以下方面进一步加强其开放性与透明性:文献搜索的时间及限制、研究筛选和数据收集过程的细节、文章筛选的流程图、效应量转换的细节、单个研究偏倚状况的评估等.本文为开放式荟萃分析提供了一个较为全面的报告清单(PRIOR-MA),为未来荟萃分析研究提供了参考.</p

    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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