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An Improved CREAM Model Based on DS Evidence Theory and DEMATEL

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2597-2617页

作者： Zhihui Xu Shuwen Shang Yuntong Pu Xiaoyan Su Hong Qian Xiaolei Pan State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment Shenzhen518172China School of Automation Engineering Shanghai University of Electric PowerShanghai200090China School of Safety and Management Engineering Hunan Institute of TechnologyHengyang421002China

Cognitive Reliability and Error Analysis Method(CREAM)is widely used in human reliability analysis(HRA).It defines nine common performance conditions(CPCs),which represent the factors thatmay affect human reliability and are used to modify the cognitive failure probability(CFP).However,the levels of CPCs are usually determined by domain experts,whichmay be subjective and uncertain.What’smore,the classicCREAMassumes that the CPCs are independent,which is unrealistic.Ignoring the dependence among CPCs will result in repeated calculations of the influence of the CPCs on CFP and lead to unreasonable reliability evaluation.To address the issue of uncertain information modeling and processing,this paper introduces evidence theory to evaluate the CPC levels in specific scenarios.To address the issue of dependence modeling,the Decision-Making Trial and Evaluation Laboratory(DEMATEL)method is used to process the dependence among CPCs and calculate the relative weights of each CPC,thus modifying the multiplier of the CPCs.The detailed process of the proposed method is illustrated in this paper and the CFP estimated by the proposed method is more reasonable.

关键词： Human reliability analysis CREAM uncertainty modeling dependence Dempster-Shafer evidence theory DEMATEL

Assessment of Dependent Performance Shaping Factors in SPAR-H Based on Pearson Correlation Coefficient

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1813-1826页

作者： Xiaoyan Su Shuwen Shang Zhihui Xu Hong Qian Xiaolei Pan School of Automation Engineering Shanghai University of Electric PowerShanghai 200090China State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment Shenzhen518172China

With the improvement of equipment reliability,human factors have become the most uncertain part in the system.The standardized Plant Analysis of Risk-Human Reliability Analysis(SPAR-H)method is a reliable method in the field of human reliability analysis(HRA)to evaluate human reliability and assess risk in large complex systems.However,the classical SPAR-H method does not consider the dependencies among performance shaping factors(PSFs),whichmay cause overestimation or underestimation of the risk of the actual situation.To address this issue,this paper proposes a new method to deal with the dependencies among PSFs in SPAR-H based on the Pearson correlation coefficient.First,the dependence between every two PSFs is measured by the Pearson correlation coefficient.Second,the weights of the PSFs are obtained by considering the total dependence degree.Finally,PSFs’multipliers are modified based on the weights of corresponding PSFs,and then used in the calculating of human error probability(HEP).A case study is used to illustrate the procedure and effectiveness of the proposed method.

关键词： Reliability evaluation human reliability analysis SPAR-H performance shaping factors dependence pearson correlation analysis

dependence of In—Tube Carbon Chain on the Radius and Helicity of Single—Wall Carbon Nanotubes

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Chinese Physics Letters 2002年第1期19卷 98-100页

作者：刘红董锦明等 GroupofComputationalCondensedMatterPhysics NationalLaboratoryofSolidStateMicrostructuresandDepartmentofPhysicsNanjingUniversityNanjing210093 GroupofComputationalCondensedMatterPhysics NationalLabora

Using the Lennard-Jones interaction potential, we have studied the in-tube carbon-chain structure doped into single-wall carbon nanotubes (SWCNTs). Through minimizing the potential energy of the doped system, it is found that the optimal structure of the doping carbon chain is spiral, but not a straight line, when the radius of the SWCNT is larger than about 4.30Å.

关键词： dependence In-Tube Carbon Chain Radius Helicity Single-Wall Carbon Nanotubes

dependence of Isoscaling Parameters on Nucleon-Nucleon Cross Section and Momentum-Dependent Interaction

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Chinese Physics Letters 2007年第8期24卷 2223-2226页

作者：邢永忠郝焕锋刘晓斌方玉田刘保义 Department of Physics Tianshui Normal University Tianshui 741000 Institute of Modern Physics Chinese Academy of Sciences PO Box 31 Lanzhou 730000 The Center of Theoretical Nuclear Physics National Laboratory of Heavy Ion Accelerator Lanzhou 730000

Inltuences of the isospin dependence of the in-medium nucleon-nucleon cross section and the momentum-dependent interaction （MDI） on the isotope scaling are investigated by using the isospin-dependent quantum molecular dynamics model （IQMD）. The results show that both the isospin dependence of the in-medium nucleon-nucleon cross section and the momentum-dependent interaction affect the isoscaling parameters appreciably and indepen- dently. The inltuence caused by the isospin dependence of two-body collision is relatively larger than that from the MDI in the mean tield. Aiming at exploring the implication of isoscaling behaviour, which the statistical equilibrium in the reaction is reached, the statistical properties in the mass distribution and the kinetic energy distribution of the fragments simulated by IQMD are presented.

关键词： dependence Isoscaling Parameters Nucleon--Nucleon Cross Section

dependence Tree Structure Estimation via Copula

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International Journal of Automation and computing 2012年第2期9卷 113-121页

作者： Jian Ma Zeng-Qi Sun Sheng Chen Hong-Hai Liu Department of Computer Science Tsinghua University Beijing 100084 PRC Electronics and Computer Science Faculty of Physical and Applied Sciences University of Southampton Southampton SO17 1B J UK Faculty of Engineering King Abdulaziz University Jeddah 21589 Saudi Arabia Intelligent Systems and Robotics Research Group School of Creative Technologies University of Portsmouth Portsmouth PO1 2D J UK

We propose an approach for dependence tree structure learning via copula. A nonparametric algorithm for copula estimation is presented. Then a Chow-Liu like method based on dependence measure via copula is proposed to estimate maximum spanning bivariate copula associated with bivariate dependence relations. The main advantage of the approach is that learning with empirical copula focuses on dependence relations among random variables, without the need to know the properties of individual variables as well as without the requirement to specify parametric family of entire underlying distribution for individual variables. Experiments on two real-application data sets show the effectiveness of the proposed method.

关键词： Copula empirical copula dependence tree structure learning probability distribution.

dependence Analysis of the Solutions on the Parameters of Fractional Delay Differential Equations

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Advances in Applied Mathematics and Mechanics 2011年第5期3卷 586-597页

作者： Shuiping Yang Aiguo Xiao Xinyuan Pan School of Mathematics and Computational Science Hunan Key Laboratory for Computation and Simulation in Science and EngineeringXiangtan UniversityHunan 411105China Department of Mathematics Huizhou UniversityGuangdong 516007China

In this paper,we investigate the dependence of the solutions on the parameters(order,initial function,right-hand function)of fractional delay differential equations(FDDEs)with the Caputo fractional derivative.Some results including an estimate of the solutions of FDDEs are given respectively.Theoretical results are verified by some numerical examples.

关键词： Fractional delay differential equation Caputo fractional derivative dependence

Effect of Essential Oil of Zhumeria majdae on Morphine Tolerance and dependence in Mice

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Chinese Journal of Integrative Medicine 2020年第9期26卷 683-687页

作者： Zahra Ehtemami Hamed Shafaroodi Jinous Asgarpanah Department of Pharmacognosy Faculty of Pharmacy and Pharmaceutical SciencesTehran Medical SciencesIslamic Azad UniversityTehranIran Department of Pharmacology School of MedicineTehran University of Medical SciencesTehranIran

Objective:To evaluate the effects of Zhumeria majdae essential oil(ZMEO)on morphine dependence and tolerance in mice.Methods:ZMEO(10,20,and 40 mg/kg)and clonidine(0.1 mg/kg)as the positive control were injected intraperitoneally(i.p.).The effect of ZMEO and clonidine on the dependence were evaluated by counting the number of jumps induced by naloxone(5 mg/kg)while the tolerance was evaluated by the tail-flick test.Results:ZMEO at the dose of 10 mg/kg during the development period led to a significant inhibition of morphine tolerance(Pdependence with the doses of 20 and 40 mg/kg.ZMEO at two dose levels of 20 and 40 mg/kg indicated significant antinociceptive activity(Pdependence.The linalool rich essential oil of Zmajdae plays a major role in the reduction of tolerance and dependence induced by morphine.

关键词： Zhumeria majdae morphine dependence tolerance

Abstinence Following a Motivation-Skill-Desensitization-Mental Energy Intervention for Heroin dependence: A Three-year Follow-up Result of a Randomized Controlled Trial

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Current Medical Science 2019年第3期39卷 472-482页

作者： Jia-yan CHEN Jin-cong YU Jie-pin CAO Yang XIAO Hong GU Rui-lin ZHONG Fang DING Zeng-zhen WANG Department of Epidemiology and Biostatistics School of Public Health Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 China Psychological Health Education and Counseling Center Zhongnan University of Economics and Law Wuhan 430073China School of Nursing Duke University Durham NC 27710 USA Wuhan Shiwu Research Institute of Science on Modem Psychology Wuhan 430062 China Xiangyang Drug Rehabilitation Center Xiangyang 441100 China

The high rate of relapse among heroin users remains a significant public concern in China. In the present study, we utilized a Motivation-Skill-Desensitization-Mental Energy (MSDE) intervention and evaluated its effects on abstinence and mental health. Eighty-nine male heroin users in a drug rehabilitation center were enrolled in the study. The participants in the MSDE intervention group (n=46) received MSDE intervention, which included motivational interviewing, coping skills training, eye movement desensitization and reprocessing, and mindfulness-based psychotherapy. The participants in the control group (h=43) received a series of lectures on skills training. A significant increase in Contemplation Ladder score (P<0.001) and decreases in scores on the Obsessive Compulsive Drug Use Scale (P<0.001), Beck Depression Inventory (P<0.001), and Aggression Questionnaire (P=O.O33) were found immediately after intervention. Compared to the control group, the MSDE intervention group reported significantly higher abstinence rates (P=0.027) and retention rates (P<0.001) at follow-up. Overall, the MSDE intervention, which uses a combined strategy for relapse prevention, could be a promising approach for preventing relapse among heroin users in China.

关键词： heroin dependence relapse prevention motivational interviewing cognitive therapy eye movement desensitization and reprocessing

Inference for dependence competing risks from bivariate exponential model under generalized progressive hybrid censoring with partially observed failure causes

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Journal of Systems Engineering and Electronics 2019年第1期30卷 201-208页

作者： WANG Liang LI Huanyu MA Jin'ge School of Mathematics and Statistics Xidian University

Inference are considered for the dependence competing risks model by using the Marshal-Olkin bivariate exponential distribution. Under generalized progressively hybrid censoring with partially observed failure causes, the maximum likelihood estimators are established, and the approximate confidence intervals are also constructed via the observed Fisher information matrix.Moreover, Bayes estimates and highest probability density credible intervals are presented and the importance sampling technique is used to compute corresponding results. Finally, the numerical analysis is proposed for illustration.

关键词： dependence competing risk generalized progressive hybrid censoring bivariate exponential distribution Bayesian inference.