Community capacity for sustainable community—based dengue prevention and control:study of a sub—district in Southern Thailand

Objective:To assess the level of community capacity for dengue prevention and control and to study household environments and larval indices in southern Thailand.Methods:A crosssectional survey was designed for the study,enrolling two communities with higher dengue incidence rate than the standard over the past five years.Data gathering was conducted by the dengue leader group(DLG),including 15 leaders and 15 non-leaders trained by the research team.The dengue community capacity assessment tool(DCCAT) for leaders(115 items.14 domains) and non-leaders(83 items,11 domains).Participants were selected by the DLG based on their communities’ dengue risk.In the low-dengue incidence(LDI) community,32 leaders and 177 non-leaders were selected;while in the high-dengue incidence(HDI) community,31 leaders and 199 non-leaders were chosen.Results:The leaders from the LDI and the HDI communities demonstrated high levels of dengue community-capacity(360.47±58.82,416.22±57.72). Non-leaders in the LDI community demonstrated a moderate level of dengue community capacity competence(205.90±60.76),while the non-leaders in the HDI community had a high level (254.78±50.34).Conclusions:These initial levels of dengue community capacity serves as a baseline for diagnosing each community.For a community that needed to improve its capacity, the DCCAT is essential tool to conduct a pre-post intervention assessment or a serial assessment. A participatory approach is taken to enable local communities to carry out anti-dengue efforts on their own,rather than have intervention by an outsider.

Practice and Thinking of Grid Management to Promote Crime Prevention and Control in Urban Community

Practice and Thinking of Grid Management to Promote Crime Prevention and Control in Urban

Security Risk Prevention and Control Deployment for 5G Private Industrial Networks

In this paper,we investigate and analyze the network security risks faced by 5G private industrial networks.Based on current network security architecture and 3GPP requirements and considering the actual application of 5G private industrial networks,a comparative analysis is used to plan and design a private network security construction scheme.The network security construction model,network organization,and key processes of 5G private industrial networks at the current stage are investigated.In addition,the key direction for the next stage of construction is discussed.

An Academic Summary of the International Conference Series on “The Role of the Proportionality Principle in the Pandemic Prevention and Control”

Against the background of a complicated global pandemic situation and normalized pandemic prevention and control in China,leading human rights scholars from China,North America and Eurasia conducted fruitful discussions on the human rights jurisprudence during pandemic through the lens of the proportionality principle at the Sixth Session of the International Seminar Series on"Global Pandemic Prevention and Control and Human Rights Protection",which was organized by the Center for Human Rights Studies of Renmin University of China,under the guidance of the China Society for Human Rights Studies.Focusing on the pandemic-related human rights conditions and legal challenges in global context,participating scholars examined the role of the proportionality principle during the containment of COVID-19 in six topical dimensions,including the normative utility,practical logic,reasonable limits,necessary measures,balancing of interests,and proportional jurisprudence in the post-pandemic era.In oder to cohere human rights jurisprudence for the development of a global community of health for all,this international seminar fostered five fundamental proportionality consensuses from five interrelated perspectives,involving human rights—rule of law—balance—contexts—trends".

Cluster synchronization in community network with nonidentical nodes via intermittent pinning control

In this paper, cluster synchronization in community network with nonidentical nodes is investigated. By combining intermittency with a pinning control scheme, some effective controllers are designed. In the control scheme, only one node in each community is controlled and coupling weights of a spanning tree in each community are enhanced. Based on the Lyapunov function method and mathematical analysis technique, two results for achieving cluster synchronization are obtained. Noticeably, by introducing an adaptive strategy, some universal adaptive intermittent pinning controllers are designed for different networks. Finally, two numerical simulations are performed to verify the correctness of the derived results.

Resilience Evaluation of Housing Estates from the Perspective of Epidemic Prevention:A Case Study of A District in Handan City

The outbreak of COVID-19 at the beginning of 2020 has a great impact on public health security at home and abroad.Community is the basic unit of urban epidemic prevention,and improving community resilience is of great significance for reducing the spread of the epidemic and maintaining the normal life of residents during the epidemic.Based on the concept of resilience,10 indicators were selected from four dimensions of urban space,including facilities,space,nature and society,to construct a community resilience evaluation indicator system for epidemic prevention,and 56 housing estates in Congtai District,Handan City,were selected for scientific evaluation.The results showed that the overall resilience of this region was relatively low and the resilience index decreased from southwest to northeast with the degree of urban development.The accessibility of urban open space,the proportion of redundant space area and the area of public space per capita had the lowest resilience index.Finally,policy suggestions were put forward to improve the resilience of housing estates in the region,so as to promote the steady progress of the city towards the agenda for sustainable development.

A Fuzzy Flow Control Approach for ABR Service in ATM Networks

The explicit rate flow control mechanisms for ABR service are used to sharethe available bandwidth of a bottleneck link fairly and reasonably among many competitive users andto maintain the buffer queue length of a bottleneck switch connected to the link at a desired levelin order to avoid and control congestion in ATM networks. However, designing effective flow controlmechanisms for the service is known to be difficult because of the variety of dynamic parametersinvolved such as available link bandwidth, burst of the traffic, the distances between ABR sourcesand switches. In this paper, we present a fuzzy explicit rate flow control mechanism for ABRservice. The mechanism has a simple structure and is robust in the sense that the mechanism'sstability is not sensitive to the change in the number of active virtual connections (VCs). Manysimulations show that this mechanism can not only effectively avoid network congestion, but alsoensure fair share of the bandwidth for all active VCs regardless of the number of hops theytraverse. Additionally, it has the advantages of fast convergence, low oscillation, and high linkbandwidth utilization.

Modeling and Simulation of Low Rate of Denial of Service Attacks

The low-rate denial of service attack is more applicable to the network in recent years as a means of attack, which is different from the traditional field type DoS attacks at the network end system or network using adaptive mechanisms exist loopholes flow through the low-rate periodic attacks on the implementation of high-efficiency attacked by an intruder and not be found, resulting in loss of user data or a computer deadlock. LDos attack since there has been extensive attention of researchers, the attack signature analysis and detection methods to prevent network security have become an important research topic. Some have been proposed for the current attacks were classified LDoS describe and model, and then in NS-2 platform for experimental verification, and then LDoS attack detection to prevent difficulties are discussed and summarized for the future such attacks detection method research work to provide a reference.

化工园区事故情景耦合演化的复杂网络分析

为进一步研究化工园区事故易因耦合效应引发事故升级等问题,首先,以化工园区储存环节为研究对象,从要素及关系2个角度构建涵盖人因层、物质层、环境层、管理层、组合层及事故层的典型事故情景要素框架体系。然后,基于拓扑理论及相关方法,构建化工园区典型事故情景复杂网络模型,分析复杂网络的统计特征,确定节点的网络贡献度和连接边的脆弱性,探究最大可能的致因路径,并结合事故的演化特征提出断链视角下的应急响应对策。最后,引入案例分析其最大致因路径,并提出相关事故的预防措施。研究结果表明:初期是化工园区事故控制的关键时期,加强员工培训是强化初期处置的重要手段之一,点火源是事故耦合升级的关键因素之一;本文构建的化工园区事故情景演化复杂网络模型具有较好的实用性,案例分析得到的最大致因路径与实际情况基本相符。研究结果可为化工园区的事故防控及演化控制提供一定参考。

The conceptual framework and assessment methodology for the systematic reviews of community-based interventions for the prevention and control of infectious diseases of poverty

This paper describes the conceptual framework and the methodology used to guide the systematic reviews of community-based interventions(CBIs)for the prevention and control of infectious diseases of poverty(IDoP).We adapted the conceptual framework from the 3ie work on the‘Community-Based Intervention Packages for Preventing Maternal Morbidity and Mortality and Improving Neonatal Outcomes’to aid in the analyzing of the existing CBIs for IDoP.The conceptual framework revolves around objectives,inputs,processes,outputs,outcomes,and impacts showing the theoretical linkages between the delivery of the interventions targeting these diseases through various community delivery platforms and the consequent health impacts.We also describe the methodology undertaken to conduct the systematic reviews and the meta-analyses.

高比例分布式可再生能源交直流混合配电网运行调控:科学问题与技术框架

随着分布式可再生能源发电与中低压直流组网技术的快速发展,未来配电网必然向复杂的交直流混合形态演进,其运行调控技术面临许多新的挑战。在高比例分布式可再生能源交直流混合配电网(HR-HDN)运行调控技术发展需求分析的基础上,提炼出HR-HDN运行调控技术的3个科学问题,并以多类型可控设备协同、源-网-荷-储高度互动化和市场化需求为研究主线,从稳定控制、故障主动防御与恢复、电力市场机制辅助调控以及“平台+数据”数字化集成调控4个方面,提出了HR-HDN的运行调控技术框架。最后,对HR-HDN运行调控关键技术的未来发展进行了展望。

山区铁路隧道钻爆法施工安全风险演化路径及防控研究

山区铁路隧道钻爆法施工安全风险突出,探索安全风险演化路径并提出安全风险防控措施,对减少安全事故发生意义重大。针对山区铁路隧道钻爆法施工特点,运用文本挖掘分析历史安全事故资料、铁路标准规范资料、现场安全风险评估报告、相关研究文献资料等,结合“4M1E”理论和专家经验识别山区铁路隧道钻爆法施工主要安全风险因素和安全风险事件。采用质性分析法,结合现场调研和专家访谈,提取安全风险因素间、安全风险事件间、安全风险因素及事件间相互关系,构建山区铁路隧道钻爆法施工安全风险演化网络模型。基于风险演化理论、复杂网络理论等,利用度中心性、介数中心性、聚类系数、特征向量中心性、中间中心度等多项指标分析山区铁路隧道钻爆法施工安全风险演化网络节点重要度、边的关键性,从而确定关键链演化路径,并提出安全风险防控措施。研究结果表明:山区铁路隧道钻爆法施工安全风险包括人员、设备、技术、管理、环境5类共41个主要安全风险因素和塌方、突泥涌水等6个主要安全风险事件,确定了安全风险演化网络中8个关键节点、20条关键边和3条关键链,针对关键链风险演化路径提出了安全风险防控措施,为提高山区铁路隧道钻爆法施工安全风险管理水平提供参考。

基于PSO-Elman神经网络的井底风温预测模型

目前井下风温预测大多采用BP神经网络,但其预测精度受学习样本数量的影响,且容易陷入局部最优,Elman神经网络具备局部记忆能力,提高了网络的稳定性和动态适应能力,但仍然存在收敛速度过慢、易陷入局部最优的问题。针对上述问题,采用粒子群优化(PSO)算法对Elman神经网络的权值和阈值进行优化,建立了基于PSO-Elman神经网络的井底风温预测模型。分析得出入风相对湿度、入风温度、地面大气压力和井筒深度是井底风温的主要影响因素,因此将其作为模型的输入数据,模型的输出数据为井底风温。在相同样本数据集下的实验结果表明:Elman模型迭代90次后收敛,PSO-Elman模型迭代41次后收敛,说明PSO-Elman模型收敛速度更快;与BP神经网络模型、支持向量回归模型和Elman模型相比,PSO-Elman模型的预测误差较低,平均绝对误差、均方误差(MSE)、平均绝对百分比误差分别为0.376 0℃,0.278 3,1.95%,决定系数R^(2)为0.992 4,非常接近1,表明预测模型具有良好的预测效果。实例验证结果表明,PSO-Elman模型的相对误差范围为-4.69%~1.27%,绝对误差范围为-1.06~0.29℃,MSE为0.26,整体预测精度可满足井下实际需要。

广东省北江流域防洪体系与布局优化

结合广东省水网建设规划中的“江河安澜防洪保安网”,重点针对北江流域“22·6”特大洪水暴露出的现状防洪体系与布局的短板、弱项,在分析评估北江流域(思贤滘以上)现状防洪体系与布局的基础上,结合设计水文计算成果及骨干水库调洪计算、飞来峡水利枢纽动态库容调洪计算等分析成果,提出了“防、管、控”三位一体系统治理的北江流域防洪(潮)治理思路及“调蓄、拦挡、蓄滞、分洪、畅泄”多功能、有韧性、相融合的防洪体系与布局。按照治理思路和科学构建现代化水网目标,综合提出了完善、优化北江流域防洪体系与布局的各项具体工程和非工程措施。

基于长短期记忆网络的新冠防疫资源调度方法

为解决新型冠状病毒肺炎防控过程中存在的资源利用率低的问题,提出一种基于长短期记忆网络的新冠防疫资源调度方法。模型通过应用程序接口采集新型冠状病毒肺炎防疫的检测阳性患者、防疫人力资源、物资数据;采用长短期记忆网络,实现了日、周、月多时间尺度的新冠疫情新型冠状病毒肺炎情况的预测;在此基础上,计及新型冠状病毒肺炎防疫的人力、物资资源约束条件,根据新型冠状病毒肺炎蔓延趋势预测情况对新型冠状病毒肺炎防疫资源进行调度。在某城市进行了仿真验证,其新冠疫情新型冠状病毒肺炎防疫资源利用率为87.8%,说明所提方法能有效提高新型冠状病毒肺炎防疫资源利用率。

基于社会网络分析法的方舱医院感染防控风险问题识别及策略分析

目的 筛选我国方舱医院感染防控实践存在的风险问题,为健全方舱医院感染防控体系提供参考。方法 以中国知网检索文献中提炼出29个方舱医院感染防控风险问题为依据,运用社会网络分析法对方舱医院感染防控风险问题网络从网络密度、点度中心度、中间中心度三个角度进行分析。结果 方舱医院感染防控风险问题网络交互度不高(0.393),社会网络点度中心度排名前3位的节点为缺乏可供参考的感染管理模式(23.00)、基于大型体育馆改建三区两通道设计不合规范(23.00)、第三方工作人员基本感染防控知识不足(23.00),中间中心度排名前3的节点为基于大型体育馆改建三区两通道设计不合规定(142.245)、专业化感染防控培训不足(51.625),第三方工作人员基本感染防控知识不足(49.595),主要位置节点重复表明未来该领域的研究趋向。结论 方舱医院感染防控受到多方面风险因素掣肘,强化方舱医院感染防控内部结构建设与感染防控运行质量,是方舱医院感染防控领域亟待解决的热点问题。

基于复杂网络的火后泥石流成灾机理的建模方法

为更加全面地对火后泥石流致灾因素进行定性分析,达到灾害防控目的,基于复杂网络理论,通过梳理既有的致灾机理研究,萃取了包含致灾因素和过程事件在内的39个节点,建立了火后泥石流触发网络。随后,基于有向网络的结构特点拓展了综合度的概念,并通过综合出(入)度、中介中心性、连边脆弱度3项复杂网络拓扑特征提出了节点风险扩散度指标(NRD)用于评估网络中的关键节点。最后,以3种攻击方式针对PDFTN,对比该网络的连通度变化,以验证NRD识别结果的有效性。结果表明:NRD能够有效识别出有向网络中的关键节点,其中NRD识别出的火后泥石流关键致灾因素为地表径流,该结果与现有研究结论一致。因此,致灾因素对火后泥石流灾害结果的影响可以通过本文提出的NRD指标进行有效表征,从而为火后泥石流灾害防控提供辅助决策依据。

地下水环境监测网建设现状与展望

地下水环境监测是地下水污染防治的重要环节,我国地下水环境监测网建设基础较为薄弱.对比欧美发达国家地下水监测网建设和运行模式,分析国家地下水监测工程、“十四五”国家地下水质量考核点位、国家级化工园区和北京市地下水环境监测网的建设情况,归纳出监测网在区域背景值点位布设,在线监测设备研发,以及监管平台建设、数据共享和应用服务等方面存在的问题.基于监测网建设现状,依托新兴技术在水质监测领域的应用,总结其发展趋势集中于在线监测设备换代升级、监测点位物联互通、多样数据解析可视、信息传输安全保真四个方面.最后结合我国监测井建设现状与管理模式提出以下发展建议:①整合现有点位,衔接国家地下水监测工程和“十四五”地下水考核点位,统筹构建国家级、省级地下水环境监测网络体系.②加快新一代水质在线监测设备研发,降低故障率,提高监测精度;探索基于地球物理探测、卫星遥感解译、无人机航测和埋设传感器等技术的新型监测方式.③国家级地下水环境监测网与地表水监测网、大气污染监测网、土壤监测网等进行多网融合.这为我国地下水环境监测网建设奠定了基础.

基于多层级目标耦合的城市内涝防治研究

针对目前市政排水与水利排涝两个行业、两个体系导致标准不衔接的问题,提出城市内涝防治的多层级目标,统一设置“低标不积水、涝标不成灾、超标可应对”3个层次的防涝标准和相应的积水范围、积水深度、积水时间、城市基本功能正常发挥程度等防涝目标。以浙江省义乌市中心城区为研究区域,利用MIKE FLOOD模型耦合MIKE Urban一维管网模型、MIKE 11一维河流模型、MIKE 21二维地表漫流模型,建立了“水-地-管-河”耦合的义乌市城市防涝水文水动力模型,通过2场实测暴雨洪水资料对模型进行了参数校准和验证。结果表明:建立的模型较好地模拟了降雨后地下管网的产汇流状态、洪水在河道的演进过程以及河流、管网漫水后在二维地形的淹没情况;多层级目标耦合后,低标情景下的义乌市中心城区排水管道满管率由65.3%上升至76.0%,说明“水-地-管-河”的耦合作用对城市防涝有一定影响。多层级目标耦合的城市防涝模型可较好反映城市防涝工程与非工程体系的实际运行状态和防涝效果,可为城市内涝治理提供参考。

基于戴维南等效的过电压在线控制方法

随着分布式光伏在配电网中渗透率不断提高,配电网电压越限问题日益受到关注。针对电网与光伏间的负荷因不协调运作而产生的过电压问题,提出了一种基于戴维南等效的过电压在线预防控制策略。在正常运行条件下,光伏系统按最大功率跟踪输出;当并网点电压高于预设电压值,通过戴维南参数和预设电压值实时预测光伏输出功率上限,根据自适应下垂曲线动态调节使得并网点电压保持在指定的范围内。该方法可避免逆变器频繁启停,使光伏系统在配电网中始终保持在线状态,同时最大限度地提高光伏并网发电量。利用IEEE 34节点系统进行仿真,结果验证了该控制策略的有效性。