Design and laboratory evaluation of fog-sealed chip seal on epoxy asphalt pavement for steel bridge deck

In order to improve the surface performace of epoxy asphalt pavement （EAP） for steel bridge deck, an epoxy asphalt chip seal （ ECS） covered by a cationic emulsified asphalt fog seal （i. e., fog-sealed chip seal） isproposed and a laboratory study is conducted to design and evaluate te fog-sealed chip seal. First, the evaluation indices and methods of te chip seal on steel bridge deck pavement were proposed. Secondly, the worst pavement conditions during te maintenance time were simulated by te small traffic load simulation system MMLS3 and the short-term aging test for minimizing the failure probability of chip seal. Finally, the design parameters of fog-sealed chip seal were determined by the experimental analysis and the performance of the designed fog-sealed chip seal was evaluated in thelaboratory. Results indicate that the proposed simulation method of pavement conditions is effective and the maximal load repetitions on the EAPslab specimen are approximately 925 300 times. Moreover, the designed fog-sealedchip sealcan provide a dense surface with sufficient skid resistance,aggregate-asphalt aahesive performance and interlayer shearing resistance.

Selecting suitable key supplier for core components during smart complex equipment central-private enterprises collaborative development process:from two different forms of evaluation information and matching perspective

With the development of central-private enterprises integration,selecting suitable key suppliers are able to provide core components for smart complex equipment.We consider selecting suitable key suppliers from matching perspective,for it not only satisfies natural development of smart complex equipment,it is also a good implementation of equipment project in central-private enterprises integration context.In in this paper,we carry out two parts of research,one is evaluation attributes based on comprehensive analysis,and the other is matching process between key suppliers and core components based on the matching attribute.In practical analysis process,we employ comprehensive evaluated analysis methods to acquire relevant attributes for the matching process that follows.In the analysis process,we adopt entropy-maximum deviation method(MDM)-decision-making trial and evaluation laboratory(DEMATEL)-technique for order preference by similarity to an ideal solution(TOPSIS)to obtain a comprehensive analysis.The entropy-MDM is applied to get weight value,DEMATEL is utilized to obtain internal relations,and TOPSIS is adopted to get ideal evaluated solution.We consider aggregating two types of evaluation information according to similarities of smart complex equipment based on the combination between geometric mean and arithmetic mean.Moreover,based on the aforementioned attributes and generalized power Heronian mean operator,we aggregate preference information to acquire relevant satisfaction degree,then combine the constructed matching model to get suitable key supplier.Through comprehensive analysis of selecting suitable suppliers,we know that two-sided matching and information aggregation can provide more research perspectives for smart complex equipment.Through analysis for relevant factors,we find that leading role and service level are also significant for the smart complex equipment development process.

Evaluation of Laboratory Performance with Quality Indicators in Infectious Disease Hospital, Kano, Nigeria

Background: In January 2010, the implementation of quality management systems toward WHO-AFRO laboratory accreditation commenced in the Antiretroviral Treatment Laboratory of the Infectious Disease Hospital, Kano, Nigeria. Quality improvement projects were instituted in 2011 in line with ISO 15189 requirements for accreditation of medical laboratory. In this study we evaluated the performance of the laboratory through some set of quality indicators (QI). Methodology: This was a retrospective study to evaluate laboratory QIs monitored from January 2011 to December 2013. The QIs were specimen rejection rate (SSR), turnaround time (TAT), proficiency testing performance (PTP) and client satisfaction survey (CSS). Data was collected into an excel file for analysis and percentage performance compared among years. SSR & TAT were evaluated with the Sigma scale. Results: A total of 7920 (2194 in 2011, 2715 in 2012, 3011 in 2013) specimens were received for testing. 22 (0.28%) specimens were rejected and 81 (1.02%) specimens’ results were reported after the acceptable TAT, giving a Sigma level of 4.27 and 3.82 for SSR and TAT respectively. There was steady improvement in PTP: CD4+ from 67% in 2011 to 90% in 2013, hematology from 81% in 2012 to 83% in 2013, blood film reading 79% in 2011 to 83% in 2013 and chemistry from 90% in 2011 to 93% in 2013. HIV serology recorded 100% throughout. CSS increased from 59% in 2012 to 78% in 2013. However, there was no statistically significance difference reported for PTP and CSS over the years (P > 0.05). Conclusion: The study highlights the need to continuously evaluate QIs and calls for more effort to improve on PTP and focuses on understanding and improving on clients concerns.

NAA Algerian Laboratory Evaluation Processed by WEPAL and IAEA during 2011-2012

Participation in inter-comparison programs is an important process to enhance the accuracy and precision of the analytical techniques used in the laboratories. At Es-Salam Research Reactor, our laboratory uses two functional analytical techniques such as INAA and k0-INAA in the research projects and for the completion of the service works. Recently, our laboratory has participated in two inter-comparison tests organized by IAEA within the framework of the AFRA project to assess the analytical performance of eighteen (18) African analytical laboratories participating in the RAF/4/ 022 project, Enhancement of Research Reactor Utilization and Safety by taking part in analytical proficiency testing IAEA in conjunction with WEPAL, the Wageningen Evaluating Programs for Analytical Laboratories. The Proficiency Testing tests related to the determination of major, minor and trace elements in materials of the International Soil and Plant Analytical Exchange (Wepal codes ISE, IPE), were held in the fourth quarter of 2011 and the first quarter of 2012, respectively. Concentrations of thirty (30) elements such as Al, As, Ba, Br, Ca, Cd, Ce, Co, Cr, Cs, Fe, Ga, K, La, Mg, Mo, Mn, Na, Nd, Rb, Sb, Sc, Sr, Th, Ti, U, V, W, Zn, Zr were determined in ISE and IPE samples. All results were evaluated and reported in this paper.

A new framework for evaluation of rock fragmentation in open pit mines

The main purpose of blasting in open pit mines is to produce the feed for crushing stage with the optimum dimensions from in situ rocks. The size distribution of muck pile indicates the efficiency of blasting pattern to reach the required optimum sizes. Nevertheless, there is no mature model to predict fragmentation distribution to date that can be used in various open pit mines. Therefore, a new framework to evaluate and predict fragmentation distribution is presented based on the image analysis approach. For this purpose, the data collected from Jajarm bauxite mine in Iran were used as the sources in this study. The image analysis process was performed by Split-Desktop software to find out fragmentation distribution, uniformity index and average size of the fragmented rocks. Then, two different approaches including the multivariate regression method and the decision-making trial and evaluation laboratory(DEMATEL) technique were incorporated to develop new models of the uniformity index and the average size to improve the Rosin-Rammler function. The performances of the proposed models were evaluated in four blasting operation sites. The results obtained indicate that the regression model possesses a better performance in prediction of the uniformity index and the average size and subsequently the fragmentation distribution in comparison with DEMATEL and conventional Rosin-Rammler models.

基于PHA-LEC-SCL法高校实验室安全评价体系的研究

随着高校科研项目的增加,人员的流动性增强,安全事故也随之增加。通过对高校实验室安全管理工作的总结与分析,探讨了影响实验室安全的各种因素,运用预先危险性分析法(PHA),对高校实验室的危险有害因素进行识别和定性分析,并将作业条件危险性评价法(LEC)与之相结合,对各子系统进行风险评估,并对其风险程度进行定量计算。采用安全检查表(SCL)对高校实验室进行安全综合评价,建立了安全评价方法之间的内在联系,从而定性定量的判定高校实验室安全等级,以便及时对危险有害因素做出反应,防止事故的发生。

面向全流程的科研机构知识管理能力评价指标框架研究——以沈阳市12家国家级重点实验室为例

识别及提升知识管理能力是科研机构评价活动的核心任务,但由于不同科研机构之间存在着研究领域和管理体系的差异,跨机构的评价和经验共享存在诸多障碍。现有的知识管理能力评价体系多以科研成果或行政流程为主要指标,存在一些不容忽视的隐患。为此,基于资源基础观和动态能力理论,将知识作为核心管理资源,并将知识资源的相关管理流程作为评价知识管理能力的指标,通过系统文献综述及德尔菲方法梳理出一套包含6个环节、30项要素的全流程知识能力评价指标框架,采用该指标框架对沈阳市12家国家级重点实验室的知识管理能力进行横向评价,根据评价结果给出有针对性的管理及政策建议。研究表明:该指标框架既能从一个更完整、动态的角度了解科研机构的知识管理能力,还能为科研机构之间的横向比较、评估和政策指导提供便利;12家实验室在知识收集、存档、阐述和应用方面表现良好,但在知识的保留、分享、协作、创新以及转化方面存在较大改良空间。为此,应建立全面公正的评估机制,通过定期审计和评估来确保实验室达到预定的知识管理标准。

装配式建筑吊装施工安全关键风险分析的改进DEMATEL方法

为了解决装配式建筑吊装施工安全风险评估体系缺失、演化路径不清的共性问题,提高施工安全科学管理水平,提出了一种基于改进决策试验与实验室评估法(Decision Making Trial and Evaluation Laboratory,DEMATEL)的关键风险识别与演化路径分析方法。基于扎根理论构建装配式建筑吊装施工安全风险评价指标体系,利用基于组合数有序加权算子(Combination Ordered Weighted Averaging,C-OWA)改进直接影响矩阵,建立DEMATEL模型决策矩阵,并通过因果关系图识别关键风险因素,探究关键风险演化路径,以武汉市某工程项目为背景开展实证研究。结果表明:该项目存在X_(1)(工人的专业水平与素质差)、X_(5)(工人的技能培训与安全教育不到位)、X_(15)(人员没有进行定期的安全培训)、X_(18)(现场施工安全管理水平低)、X_(19)(风险意识缺乏)等关键风险因素;在4条基础路径和2条复合路径中,复合路径的权重高于基础路径,随着关键风险之间直接和间接作用的复杂化,发生风险事件的可能性将逐步增加;复合路径除了通过基础路径与关键风险耦合得到以外,还可以通过基础路径的相互作用演化得到。

基于模糊DEMATEL-超效率DEA的可再生能源发电技术综合效益评估方法

“双碳”目标下,各类可再生能源发电技术发展迅速,综合权衡不同可再生能源发电方案的综合效益对可再生能源的优化设计具有重要意义。综合考虑经济效益、环境效益、能源效益和社会效益4个层面,提出了一种基于模糊决策试验和评价实验(decision making trial and evaluation laboratory,DEMATEL)与超效率数据包络分析(data envelopment analysis,DEA)模型的可再生能源发电技术综合效益评估方法。该方法分为投入-产出指标体系构建和综合评估2个阶段。首先,利用三角直觉模糊数处理模糊评价信息,将其与DEMATEL相结合量化各指标之间相互影响关系,基于指标间逻辑分析结果建立投入-产出评估指标体系。然后,基于超效率DEA模型对各可再生能源发电方案进行评估排序,结合投入冗余和产出不足分析结果给出各方案的针对性改善建议,以期为进一步选择和确定可再生能源产业发展战略提供参考。最后以某省10类可再生能源发电单元为研究对象,基于所提研究方法进行综合评估和分析,并与多准则妥协解排序法和熵权法进行对比分析,验证了所提方法的有效性。

高校大学生实验室安全意识评价模型的构建

为减少实验室安全事故的发生和提高大学生的实验室安全意识,设计了实验室安全意识影响因素调查问卷和大学生实验室安全意识评价调查问卷,利用层次分析法—熵权法(AHP-EWM)主客观相结合的方法建立高校大学生实验室安全意识评价体系。通过主成分分析法(PCA)处理,再选取累计贡献率超过95%的评价指标进行布谷鸟搜索(Cuckoo Search, CS),最后结合混合优化支持向量机(SVM)建立PCA-CS-SVM大学生实验室安全意识评价模型。验证结果表明,与PCA-LS-SVM和PCA-GA-SVM模型相比,PCA-CS-SVM模型的预测值与实际值的误差较小且评价等级与实际值保持一致,具有较高的准确性和可靠性,可用于高校大学生实验室安全意识评价。

基于装置运行平稳性的石油化工安全管理策略研究

为了找出并评价石化装置支配性风险因素,实现安全生产风险源头控制和管理,满足石化装置安全生产风险控制的高效性要求,通过建立石化装置事故风险影响模型,运用决策试验与评估实验室方法(DEMATEL)从“现代事故因果连锁理论”视角分析发现人、机(物)等风险因素都受管理因素支配。进而,基于工艺稳定性、工艺稳定性修正、非计划停工3个指标建立石化装置平稳性模型,对装置运行平稳率进行追踪统计,并通过实例对该模型进行了分析和验证。结果表明:该石化装置运行平稳性模型可以量化追踪事故风险支配性因素的控制效果,可展示石化装置不同阶段下的风险特点,可作为装置事故风险预警指标和安全管理绩效指标,可提高装置的安全管理水平。

中国实验动物资源鉴定与评价工作进展分析

实验动物既是国家战略资源,也是国家科技发展的重要支撑条件。中国实验动物学会实验动物资源鉴定与评价工作委员会成立于2019年5月,是中国目前唯一的专门从事实验动物资源鉴定与评价的专业学术团体机构。本文首先论述了实验动物资源鉴定与评价的意义,总结了3种新的实验动物资源开发途径,包括将实验用动物(经济动物、观赏动物、农用动物、野生动物等)驯化和标准化、通过自然突变和人工诱变获得实验动物新品种(系)、应用基因编辑技术创制新的实验动物资源;然后介绍了实验动物资源鉴定与评价的工作流程(包括初审即形式审查、函审即专家审核、会审或现场考察、审定即投票表决并公示、发放鉴定证书)和所需提交的材料(包括申请书、总结报告、鉴定或研究报告、附录和其他必要材料);接着进一步论述了资源鉴定与评估的相关要求,包括种群、遗传学分类要求、生物学特性、遗传稳定、应用价值;最后,介绍了目前已经完成鉴定的实验动物资源新品种(系)情况,并分析了目前工作实践中存在的问题以及针对这些问题的解决措施,以期为后续相关研究提供参考。

砖木结构古建筑火灾风险影响因子评估研究

提出模糊DEMATEL-ISM的方法,在建立古建筑火灾评价指标体系的基础上,对归属于4大类风险因素的25个潜在风险因子进行关联性分析,得出因子的因果属性及因子间的逻辑层次结构关系,从而对古建筑火灾风险进行评估。利用模糊DEMATEL-ISM法对华阴市西岳庙灏灵殿进行实例分析,结果表明:疏散与扑救条件、电器设备隐患的原因度较大,需要对其予以控制;耐火等级、火灾荷载的结果度大,为事故发生的主要原因;疏散与扑救条件、易燃易爆危险品、电器设备隐患、安全责任制、灭火应急预案和演练为古建筑火灾事故的关键风险因子,可为古建筑火灾风险管控工作提供相应参考。

全过程评价体系在实验诊断学教学中的应用探讨

文章对在实验诊断学教学中试行以形成性评价为主的全过程评价体系进行探索,分析了新的评价体系对学生学习效果、学习压力程度、学习兴趣培养、临床思维能力、团队协作能力、学业评价模式满意度的影响。以期为提高临床医学人才培养质量提供实践经验和新思路。

基于BP-DEMATEL的山西省冬小麦水足迹影响因素识别

针对山西省冬小麦水足迹历史演变及关键影响因素识别问题,分析了1993—2021年山西省冬小麦水足迹历史演变规律,利用BP神经网络-决策实验室(BP-DEMATEL)模型对冬小麦水足迹演变的关键影响因素进行识别,将其分为驱动型因素及特征型因素,并揭示了影响因素之间的作用机制。结果表明:1993—2021年山西省冬小麦水足迹及单位水足迹均呈下降趋势;2021年山西省冬小麦总水足迹为27亿m^(3)(蓝水占比57%),单位水足迹为1 122 m^(3)/t,与前期高点相比分别下降38%(较1994年)和21%(较1993年);气温、相对湿度和灌溉面积为冬小麦水足迹演变的关键驱动型因素,化肥施用量和农业机械总动力为关键特征型因素。

基于组合赋权云模型的塔台管制系统运行安全评估

随着我国民航业的迅猛发展,空中交通流量不断攀升,机场塔台管制系统的运行安全面临严峻考验,因此,正确识别和评估风险成为有效提高塔台管制系统运行安全水平的重要前提。为精准且有效地完成对塔台管制系统运行的安全评估,构建了基于模糊决策实验室分析法(Decision-Making Trial and Evaluation Laboratory,DEMATEL)网络层次分析法(Analytic Network Process,ANP)熵权法云模型的塔台管制系统运行安全评估模型。首先,通过流程图法并结合人机环管的思想建立塔台管制系统运行安全评估指标体系,并采用模糊DEMATEL法确定评估指标间的相互影响关系,绘制评估指标之间的网络结构图;然后,通过ANP法确定各评估指标的主观权重,采用熵权法确定各评估指标的客观权重,并通过博弈论方法计算评估指标的综合权重;最后,将权重结果与评语层云模型结合使用对各级安全评估指标进行安全评估,通过MATLAB软件完成算例的仿真分析。结果表明:该塔台管制系统运行安全等级在一般和良好之间,仍需采取有效措施对某些风险因素进行控制;同时验证了该模型在塔台管制系统运行安全评估中具有可行性和准确性,对塔台管制系统安全评估具有指导意义。

基于C-OWA和云模型的高校化工实验室安全韧性评价

为了探索高校化工实验室安全管理的新范式,将安全韧性理论引入高校化工实验室安全研究中,提出一种安全韧性评价方法。首先,界定高校化工实验室安全韧性的概念,构建以稳定性、冗余性、效率性和适应性4个安全韧性特征要素为核心的评价指标体系;其次,基于有序加权平均C-OWA算子计算指标权重,通过云模型理论得到各安全韧性特征要素和安全韧性的评价等级。最后,将该方法应用于武汉市某高校化学与化工学院实验楼安全评价,结果表明:该实验楼的实验室稳定性等级为“较好(Ⅳ级)”,冗余性等级为“中等(Ⅲ级)”,效率性等级为“较好(Ⅳ级)”,适应性等级为“中等(Ⅲ级)”,整体安全韧性等级为“较好(Ⅳ级)”,评价结果与实际情况相符,运用该方法进行安全评价对改善高校化工实验室的安全状态具有一定的参考意义。

基于D-I-M协同模型的企业数字化转型财务管理风险识别研究

数字化正在重塑经济发展的轨道,成为赋能经济增长新动力。精准识别财务管理风险中的关键指标及其相互关系,对企业更好地完成数字化转型尤为关键。融合企业人力、运营、财务、环境4个基本维度,从链式传导视角构建转型背景下企业财务管理风险指标体系。通过决策试验与评价实验室(DEMATL)法,分析各影响因素之间中心度和原因度关系,并利用解释结构模型(ISM),将矩阵进一步分析得到影响因素的层级划分,归纳影响因素之间的内在指向关系,最后运用交叉影响矩阵相乘(MICMAC)法计算各因素的驱动—依赖关系以判断其属性类别。提出通过D-I-M协同分析的方法,识别财务管理风险路径,为企业进行多链融合数字化转型、规避财务管理风险提供参考。

基于文本挖掘的水电工程施工物体打击事故致因分析

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