Machine Learning for Hybrid Line Stability Ranking Index in Polynomial Load Modeling under Contingency Conditions

In the conventional technique,in the evaluation of the severity index,clustering and loading suffer from more iteration leading to more com-putational delay.Hence this research article identifies,a novel progression for fast predicting the severity of the line and clustering by incorporating machine learning aspects.The polynomial load modelling or ZIP(constant impedances(Z),Constant Current(I)and Constant active power(P))is developed in the IEEE-14 and Indian 118 bus systems considered for analysis of power system security.The process of finding the severity of the line using a Hybrid Line Stability Ranking Index(HLSRI)is used for assisting the concepts of machine learning with J48 algorithm,infers the superior affected lines by adopting the IEEE standards in concern to be compensated in maintaining the power system stability.The simulation is performed in the WEKA environment and deals with the supervisor learning in order based on severity to ensure the safety of power system.The Unified Power Flow Controller(UPFC),facts devices for the purpose of compensating the losses by maintaining the voltage characteristics.The finite element analysis findings are compared with the existing procedures and numerical equations for authentications.

Self-Compassion Moderates the Effect of Contingent Self-Esteem on Well-Being:Evidence from Cross-Sectional Survey and Experiment

Contingent self-esteem captures the fragile nature of self-esteem and is often regarded as suboptimal to psychological functioning.Self-compassion is another important self-related concept assumed to promote mental health and well-being.However,research on the relation of self-compassion to contingent self-esteem is lacking.Two studies were conducted to explore the role of selfcompassion,either as a personal characteristic or an induced mindset,in influencing the effects of contingent self-esteem on well-being.Study 1 recruited 256 Chinese college students(30.4%male,mean age=21.72 years)who filled out measures of contingent self-esteem,self-compassion,and well-being.The results found that self-compassion moderated the effect of contingent self-esteem on well-being.In Study 2,a sample of 90 Chinese college students(34%male,mean age=18.39 years)were randomly assigned to either a control or self-compassion group.They completed baseline trait measures of contingent self-esteem,self-compassion,and self-esteem.Then,they were led to have a 12-min break(control group)or listen to a 12-min self-compassion audio(self-compassion group),followed by a social stress task and outcome measures.The results demonstrated the effectiveness of the brief self-compassion training and its moderating role in influencing the effects of contingent self-esteem on negative affects after the social stress task.This research provides implications that to equip with a self-compassionate mindset could lower the risk of the impairment of well-being associated with elements of contingent selfesteem,which involves a fragile sense of self-worth.It may also provide insights into the development of an“optimal selfesteem”and the improvement of well-being.

An Extended Bivariate T-Distribution Type Symmetry Model for Square Contingency Tables

The purpose of this paper is to propose a new model of asymmetry for square contingency tables with ordered categories. The new model may be appropriate for a square contingency table if it is reasonable to assume an underlying bivariate t-distribution with different marginal variances having any degrees of freedom. As the degrees of freedom becomes larger, the proposed model approaches the extended linear diagonals-parameter symmetry model, which may be appropriate for a square table if it is reasonable to assume an underlying bivariate normal distribution. The simulation study based on bivariate t-distribution is given. An example is given.

Contingency management strategies of the Nursing Department in centralized rescue of patients with coronavirus disease 2019

Objectives:This article aims to summarize a series of contingency management strategies of the Nursing Department in the centralized treatment of patients with coronavirus disease 2019(COVID-19).Methods:The strategies of the Nursing Department included an early warning for prevention and control,taking functions of vertically commanding and horizontally coordinating,and reasonably allocating nursing workforce,to facilitate centralized treatment work in the in-hospital fever clinic,isolation wards and ICU,and referral and admission of critical patients.Five special groups were established in charge of training and examination,management and supervision,psychological support,logistical support,and reporting and publicity,respectively.Results:It was achieved that no deaths from critical patients and no medical staff,no other patients were infected.Conclusion:Through the implementation of these strategies,safe and efficient centralized treatment was ensured timely,orderly and sustainably.

Sizing of STATCOM to Enhance Voltage Stability of Power Systems for Normal and Contingency Cases

The electric power infrastructure that has served huge loads for so long is rapidly running up against many limitations. Out of many challenges it is to operate the power system in secure manner so that the operation constraints are fulfilled under both normal and contingent conditions. Smart grid technology offers valuable techniques that can be deployed within the very near future or which are already deployed nowadays. Flexible AC Transmission Systems (FACTS) devices have been introduced to solve various power system problems. In literature, most of the methods proposed for sizing the FACTS devices only consider the normal operating conditions of power systems. Consequently, some transmission lines are heavily loaded in contingency case and the system voltage stability becomes a power transfer-limiting factor. This paper presents a technique for determining the proper rating/size of FACTS devices, namely the Static Synchronous Compensator (STATCOM), while considering contingency cases. The paper also verifies that the weakest bus determined by eigenvalue and eigenvectors method is the best location for STATCOM. The rating of STATCOM is specified according to the required reactive power needed to improve voltage stability under normal and contingency cases. Two case system studies are investigated: a simple 5-bus system and the IEEE 14-bus system. The obtained results verify that the rating of STATCOM can be determined according to the worst contingency case, and through proper control it can still be effective for normal and other contingency cases.

Problem-Based Learning of Drug Use and Abuse during COVID-19 Contingency

Introduction: Nursing students’ experiences during the pandemic provoked social isolation, the way to learn and every context increasing their stress and anxiety leading to drug use and abuse, among others. Problem-based learning (PBL) is a pedagogic strategy to strengthen significant learning;then the objective was to establish PBL influence in nursing students’ experiences on drug use and abuse during COVID-19 contingency. Methods: Qualitative, phenomenological and descriptive paradigm, 12 female and male nursing students aged 20 - 24 years old from the 5th and 6th semesters participated. Information collection was through semi-structured interview and a deep one in four cases. A guide of questions about: How the pandemic impacted your life? How did you face it? And what did you learn during this process? Those questions were used. Qualitative data analysis was based on De Souza Minayo, and signed informed consent was obtained from participants. Results: Students’ experiences allowed four categories to emerge, with six sub-categories. Category I. Students’ experiences on drug use and abuse facing the sanitary contingency;Category II. Students’ skills development to identify a problem and design of appropriate solutions;Category III. Developing skills to favor interpersonal relationships;Category IV. Influence of PBL in nursing students’ experiences on drug use and abuse during the COVID-19 contingency. Conclusion: PBL favored analysis and thoughts in nursing students’ experiences on drug use and abuse during the COVID-19 contingency, they worked collaboratively, developed resilience to daily life situations, and implemented stress coping strategies with their significant learning, which diminished their risk behavior.

Marine oil spill contingency planning

According to the practice researching and formulating “The Oil Spill Contingency Plan of South Chinese Sea”, this paper analyses and discusses the structure, functions and main contents of marine oil spill contingency planning, programs the organizing and commanding system and emergency response system, and advances the planning and researching method to coordinate comprehensively and to design practically the detailed emergency response steps until to formulate the ease operating programs for the plan implementation(PPI) and the PPI to apply high techniques supporting emergency administrations and response.

A Multivariate Test for Three-Factor Interaction in 3-Way Contingency Table under the Multiplicative Model

Two test statistics that have been commonly used in analysing interactions in contingency table are the Pearson’s Chi-square statistic, χ2, and likelihood ratio test statistic, G2. Both test statistics, in tables with sufficiently large sample size, have an asymptotic chi-square distribution with degrees of freedom (df) equal to the number of free parameters in the saturated model. For example under the hypothesis of independence of the row and column conditioned on the layer in an I × J × K contingency table, the df is K(I –1)(J– 1). These test statistics, in large sized tables, will have less power since they have large degrees of freedom. This paper proposes a product effect model, which combines the advantages of the multiplicative models over the additive, for analysing the interaction between the row and column of the 3-way table conditioned on the layer. The derived statistics is shown to be asymptotically chi-square with a small degree of freedom, K?– 1, for the I × J × K contingency table. The performance of the developed statistic is compared with the Pearson’s chi-square statistic and the likelihood ratio statistic test using an illustrative example. The results show that the product effect test can detect interaction even when some of the main effects are not significant and can perform better than the other competitors having smaller degree of freedom in large sized tables.

Asymmetry Index on Marginal Homogeneity for Square Contingency Tables with Ordered Categories

For square contingency tables with ordered categories, the present paper considers two kinds of weak marginal homogeneity and gives measures to represent the degree of departure from weak marginal homogeneity. The proposed measures lie between –1 to 1. When the marginal cumulative logistic model or the extended marginal homogeneity model holds, the proposed measures represent the degree of departure from marginal homogeneity. Using these measures, three kinds of unaided distance vision data are analyzed.

Extended Diagonal Exponent Symmetry Model and Its Orthogonal Decomposition in Square Contingency Tables with Ordered Categories

For square contingency tables with ordered categories, this article proposes new models, which are the extension of Tomizawa’s [1] diagonal exponent symmetry model. Also it gives the decomposition of proposed model, and shows the orthogonality of the test statistics for decomposed models. Examples are given and the simulation studies based on the bivariate normal distribution are also given.

A Unified Approach for the Multivariate Analysis of Contingency Tables

We present a unified approach to describing and linking several methods for representing categorical data in a contingency table. These methods include: correspondence analysis, Hellinger distance analysis, the log-ratio alternative, which is appropriate for compositional data, and the non-symmetrical correspondence analysis. We also present two solutions working with cummulative frequencies.

Comparative Analysis of Hybrid Controllers of Done Systems (UPFC) and Interphase Power Regulators Type RPI 30p15 on Contingency Management in Electrical Networks

The aim of this work is to demonstrate that interphase power regulators (IPR) bring new and interesting ultra-solutions that complement those already taken into account by the FACTS (Flexible Alternative Transmission System) in the resolution of the problems related to the power flow in the AC transmission networks. In order to facilitate the understanding of this work, a comparative study of the performances of the two technologies between the UPFC (Unified Power Flow Controller) and RPI was carried out and at the end of which we were able to highlight the preponderance of RPI compared to the UPFC in the bypassing of the short-circuit fault insofar as the latter allows, in particular, an increase in the transformation capacity without an increase in the level of the short-circuit. The decoupled watt-var method has been used to control the UPFC while the RPI is controlled by phase shift. The simulation results are obtained in the Matlab Simulink environment and show the flexibility of the RPI compared to the UPFC in limiting strong contingencies.

A Steady-State Contingency Analysis of the SADC Regional Grid Using the N-1 Criterion

Southern Africa has experienced electric power deficits over the last decade. This has been due in part to the member countries＇ inadequate electrical power supply system, as well as load growth in areas which were not adequately planned for. This has induced the formation of organizations such as SADC （Southern African Development Community） and SAPP （Southern African Power Pool） that have the common goal of achieving development and economic growth in the region which comprises of 15 member countries. This paper presents results from a security analysis of the region＇s electric power supply system using a baseline level of performance. This was carried out by performing a steady-state contingency analysis on a SADC power network model subject to the N-1 criteria which expresses the ability of the power network to experience a contingency without causing an overload or failure in any other part of the network. Simulations were carried out using DigSilent.

Estimating the value of a statistical life in China: A contingent valuation study in six representative cities

The value of a statistical life(VSL)is a crucial tool for monetizing health impacts.To explore the VSL in China,this study examines people’s willingness to pay(WTP)to reduce death risk from air pollution in six representative cities in China based on face-to-face contingent valuation interviews(n=3936)from March 7,2019 to September 30,2019.The results reveal that the WTP varied from CNY 455 to 763 in 2019(USD 66-111),corresponding to a VSL range of CNY 3.79-6.36 million(USD 549395-921940).The VSL in China in 2019 is estimated to be CNY 4.76 million(USD 689659).The statistics indicate that monthly expenditure levels,environmental concerns,risk attitudes,and assumed market acceptance,which have seldom been dis‐cussed in previous studies,significantly impact WTP and VSL.These findings will serve as a reference for ana‐lyzing mortality risk reduction benefits in future research and for policymaking.

国际贸易供应链韧性评估与风险传导研究--基于重大突发事件冲击下的国际视角

重大突发事件频发使得国际贸易供应链安全问题成为各国政府关注的重要议题。全文基于全球重大卫生事件冲击下的国际视角,采用CoDEA模型分步评估供应链初始节点、子链和整体链条韧性,并利用社会网络分析法,进一步探究各节点经济体在风险传导中的角色与功能。结果表明:(1)此次疫情的冲击存在于国际贸易供应链的上游、中游与下游三个节点,对整体韧性的补偿作用有限且成本高昂;(2)风险传导与风险抵御能力不同步,在此次疫情冲击下,风险传导影响力较强的经济体通常不具备较强的供应链韧性,而中国较强的风险抵御能力对强化国际供应链网络韧性起到积极作用;(3)经济体因风险厌恶情绪,试图通过边缘化规避冲击,但并未产生实质性的避险效果;(4)相较于主受益板块与经纪人板块,此次风险传导关系以溢出板块为主,过多的外溢促使风险交叉迭代传播,加剧了疫情对国际贸易供应链的冲击损伤。基于此文章提出国际贸易供应链韧性提升与风险防范的政策启示。

相倚性自尊及其对心理健康影响的研究综述

通过对相倚性自尊的研究进行梳理,梳理出相倚性自尊形成影响因素与发展变化。相倚性自尊水平会随着成年而减少,但受到不安全依恋、父母条件性关注、内在−外在相倚性自尊水平失衡、社会文化及对负面信息分配更多的认知资源的影响,相倚性自尊会维持在较高水平。相倚性自尊较高水平的个体更有可能产生情绪障碍、行为障碍及人格障碍。在心理治疗中,可通过改善亲子教养方式、提高自我认知、认知行为治疗等方法改善相倚性自尊水平,预防其对心理健康的危害性。

系统权变理论视角下高职专业群多主体协同治理机制研究

多主体协同治理是现阶段提升职业教育适应性、实现高职专业群高质量发展的必然选择。针对当前高职专业群存在的“治理体系不完善或管理机制缺乏”等问题,在调研25个广东省省级高水平专业群的基础上,基于系统权变理论提出了多主体协同治理下的权力分配原则和方法,设计了满足“多元共治”要求的专业群管理机制簇,并给出了具体应用案例。实践证明,基于系统权变理论的高职专业群多主体协同机制能从根本上支撑专业群“多元共治”。

企业领导权变奖励影响员工职业承诺机理探讨

企业领导权变奖励影响员工职业承诺有赖于由员工心理契约违背中介完成并受制于员工权力距离的调节。笔者基于组织公平理论,构建了企业领导权变奖励影响员工职业承诺机制的一个有调节的中介模型,在此基础上以590份来自对中国内地企业普通员工问卷调查的有效数据,运用层级回归和bootstrap方法实证检验了企业领导权变奖励与员工职业承诺之间的关联。检验结果证实:企业领导权变奖励显著正向影响员工职业承诺;员工心理契约违背部分中介作用于企业领导权变奖励对员工职业承诺的影响;员工权力距离既与企业领导权变奖励影响员工职业承诺的关系负相关,也反向调节此间员工心理契约违背的中介作用。本研究通过尝试性地将员工心理契约违背和员工权力距离等相关变量引入对企业领导权变奖励影响员工职业承诺关系模型的实证检验,揭示了企业领导权变奖励对员工职业承诺的相关影响机理,从领导奖励层次与员工职业承诺的关联上扩展了组织公平理论的应用边界,丰富了有关公司内部治理方面的现有文献,研究结论有助于为企业经营管理中制定科学合理的奖惩条例和处理好企业领导与员工的干群关系提供理论依据。

基于空间距离效应的青岛市浒苔治理支付意愿研究

支付意愿的空间属性是影响环境物品估值效度的主要因素之一,忽略对空间距离的考量可能导致最终资源环境物品或服务的货币估值产生偏差。文章以青岛市海域浒苔灾害为研究对象,使用条件价值评估法,构建支付意愿函数模型,测算受访者距青岛市海边的距离,探索浒苔治理支付意愿是否存在距离衰减现象;通过划分不同的距离区,测算不同距离区内公众浒苔治理支付意愿,最终汇总得出浒苔治理带来的经济价值。研究结果显示:公众浒苔治理支付意愿“距离衰减”效应明显,距离海边较近的公众倾向于为治理浒苔支付较高的金额;青岛市浒苔治理总经济价值为9.84亿元/a;不考虑距离衰减效应最终导致浒苔治理经济价值的高估达27.03%。研究结论可为空间尺度上的非市场价值评估提供新的研究思路和科学参考,不仅提高了条件价值评估法估值结果的有效性,也提供了更加精准的青岛市浒苔治理经济价值估值。