Work-family conflict and job burn-out among Chinese doctors:the mediating role of coping styles

Background Burn-out among doctors threatens their own health, and that of their patients. To identify risk factors of the doctor burn-out is vital to improving their health and increasing the quality of healthcare services. This study aims to explore the relationship between work-family confict （WFC） and burn-out among Chinese doctors and the mediating role of coping styles in this relationship.Methods A cross-sectional survey was conducted in China, with a questionnaire packet which consisted of the Chinese Maslach Burnout Inventory （CMBI）, WFC Scale and the Simplifed Coping Style Questionnaire （SCSQ）. A total of 2530 doctors participated in the survey. Correlation analysis was performed to explore the relationship between CMBI, WFC and SCSQ scores. A linear regression model was set to determine the mediating role of coping styles on the relationship between WFC and burn-out.Results Doctors who had higher scores on work interfering with family confict, reported more emotional exhaustion （r=0.514, P〈0.001） and had a sense of accomplishment （r= 0.149, P〈0.001）. Simultaneously, family interfering with work （FIW） was positively associated with all dimensions of burn-out （r=0.213, 0.504, 0.088, respectively, P〈0.001）. Coping styles had partial, complete and even mediating effects on the relationship between WFC and burn-out among Chinese doctors.Conclusions WFC was correlated with burn-out, and coping style was a mediator in this relationship among Chinese doctors. Coping style was a positive resource against burn-out.

The Influence of Preschool Teachers’Social Skills on Job Burnout:A Moderated Mediation Model

Background:Teacher burnout is a serious issue in the field of education,particularly in early childhood education,where teachers face high levels of work stress and emotional labor,leading to emotional exhaustion and job burnout.However,past research has not sufficiently explored the mechanisms of social skills,empathy,and mindfulness in mitigating teacher burnout.Therefore,this study aims to investigate the relationship between preschool teachers’social skills,empathy,and mindfulness with job burnout,in order to provide theoretical basis and practical guidance for reducing teacher burnout.Methods:This research utilized a convenience sampling approach to target preschool teachers for a questionnaire survey.A total of 1109 questionnaires were collected.To ensure the quality of the data,we excluded questionnaires that were not carefully filled out in terms of lie scale questions,those with abnormal demographic variables,and outliers identified based on response time.Ultimately,901 valid questionnaires were obtained,achieving a valid response rate of 81.2%.Participants’levels of social skills,empathy,mindfulness,and job burnout were assessed using the Social Skills Scale(SKS),Empathy Scale(Measure of Empathy,ME),Mindful Attention Awareness Scale(MAAS),and the Maslach Burnout Inventory-Educators Survey(MBI-ES),respectively.Data analysis was conducted using SPSS.Results:After controlling for gender,age,teaching experience,educational level,grade taught,and location of the kindergarten,the study found:(1)There is a negative correlation between preschool teachers’social skills and the level of job burnout(r=−0.238);(2)Empathy has a dual-track effect on job burnout,where cognitive empathy negatively affects job burnout(r=−0.245),while emotional empathy has a positive effect(r=0.045);(3)Cognitive empathy partially mediates the relationship between social skills and job burnout(β=−0.124);(4)Mindfulness significantly impacts social skills,cognitive empathy,and job burnout(r=0.278;r=0.286;r=−0.539),and plays a moderating role in the mediation model(β=0.003;β=−0.023).Conclusion:These findings provide theoretical support for the development of burnout prevention and intervention strategies targeted at preschool teachers.They also point out new directions for future research and potential intervention targets,suggesting that enhancing preschool teachers’social skills and cognitive empathy,as well as increasing their mindfulness level,can help them cope with work-related stress and emotional labor,thereby alleviating job burnout.

Association between Job Satisfaction and Stress or Depressive Symptom of Employed Persons with Disabilities:Findings from the Panel Survey of Employment for the Disabled 2016–2023

Background:This study conducted a longitudinal analysis of the association between job satisfaction and stress or depressive symptoms of employed persons with disabilities(PWDs)based on the data from the 1st to 8th Pannel Survey of Employment for the Disabled(PSED).Methods:After excluding missing values,data on 1614 participants at baseline(1st wave)were analyzed using the chi-square test and generalized estimating equation(GEE)model for data from 1st to 8thPSED.Results:It was found that for each one-unit increase in the job satisfaction score,the stress scale decreased by 0.004(B:−0.004,95%CI:−0.006–−0.002,p-value:<0.0001).Compared to the very high job satisfaction group,the low job satisfaction group was more likely to experience perceived stress(odds ratio[OR]:2.127,p-value:0.001)and experience depressive symptoms(OR:3.557,p-value<0.0001).Furthermore,in terms of the overall satisfaction with their current job among the PWDs,compared to the‘satisfied’group,the‘unsatisfied’group had higher perceived stress(OR:1.593,p-value<0.0001)and depressive symptoms(OR:2.688,p-value<0.0001).Conclusions:There was a close association between job satisfaction and stress or depressive symptoms among employed PWDS.This study’s findings may serve as foundational research to support improving mental health in this population.In addition,it is anticipated that these findings can be used as evidence to improve the work environment for PWDs within the context of Korean corporate culture.

Strengthened Dominance Relation NSGA-Ⅲ Algorithm Based on Differential Evolution to Solve Job Shop Scheduling Problem

The job shop scheduling problem is a classical combinatorial optimization challenge frequently encountered in manufacturing systems.It involves determining the optimal execution sequences for a set of jobs on various machines to maximize production efficiency and meet multiple objectives.The Non-dominated Sorting Genetic Algorithm Ⅲ(NSGA-Ⅲ)is an effective approach for solving the multi-objective job shop scheduling problem.Nevertheless,it has some limitations in solving scheduling problems,including inadequate global search capability,susceptibility to premature convergence,and challenges in balancing convergence and diversity.To enhance its performance,this paper introduces a strengthened dominance relation NSGA-Ⅲ algorithm based on differential evolution(NSGA-Ⅲ-SD).By incorporating constrained differential evolution and simulated binary crossover genetic operators,this algorithm effectively improves NSGA-Ⅲ’s global search capability while mitigating pre-mature convergence issues.Furthermore,it introduces a reinforced dominance relation to address the trade-off between convergence and diversity in NSGA-Ⅲ.Additionally,effective encoding and decoding methods for discrete job shop scheduling are proposed,which can improve the overall performance of the algorithm without complex computation.To validate the algorithm’s effectiveness,NSGA-Ⅲ-SD is extensively compared with other advanced multi-objective optimization algorithms using 20 job shop scheduling test instances.The experimental results demonstrate that NSGA-Ⅲ-SD achieves better solution quality and diversity,proving its effectiveness in solving the multi-objective job shop scheduling problem.

The Emergence of Loving Pedagogy in the L2 Affective Domain:How Affective Pedagogy Accounts for Chinese EFL Teachers’Professional Success and Job Satisfaction?

The success of teachers in professional environments has a desirable influence on their mental condition.Simply said,teachers’professional success plays a crucial role in improving their mental health.Due to the invaluable role of professional success in teachers’mental health,personal and professional variables helping teachers succeed in their profession need to be uncovered.While the role of teachers’personal qualities has been well researched,the function of professional variables has remained unknown.To address the existing gap,the current investigation measured the role of two professional variables,namely job satisfaction and loving pedagogy,in Chinese EFL teachers’professional success.To do this,three validated scales were provided to 1591 Chinese EFL teachers.Participants’answers to the questionnaires were analyzed using the Spearman correlation test and structural equation modeling.The data analysis demonstrated a strong,positive link between the variables.Moreover,loving pedagogy was found to be the positive,strong predictor of Chinese EFL teachers’job satisfaction and professional success.The findings of the current inquiry may help educational administrators enhance their instructors’professional success,which in turn promotes their mental and psychological conditions at work.

Energy-Saving Distributed Flexible Job Shop Scheduling Optimization with Dual Resource Constraints Based on Integrated Q-Learning Multi-Objective Grey Wolf Optimizer

The distributed flexible job shop scheduling problem(DFJSP)has attracted great attention with the growth of the global manufacturing industry.General DFJSP research only considers machine constraints and ignores worker constraints.As one critical factor of production,effective utilization of worker resources can increase productivity.Meanwhile,energy consumption is a growing concern due to the increasingly serious environmental issues.Therefore,the distributed flexible job shop scheduling problem with dual resource constraints(DFJSP-DRC)for minimizing makespan and total energy consumption is studied in this paper.To solve the problem,we present a multi-objective mathematical model for DFJSP-DRC and propose a Q-learning-based multi-objective grey wolf optimizer(Q-MOGWO).In Q-MOGWO,high-quality initial solutions are generated by a hybrid initialization strategy,and an improved active decoding strategy is designed to obtain the scheduling schemes.To further enhance the local search capability and expand the solution space,two wolf predation strategies and three critical factory neighborhood structures based on Q-learning are proposed.These strategies and structures enable Q-MOGWO to explore the solution space more efficiently and thus find better Pareto solutions.The effectiveness of Q-MOGWO in addressing DFJSP-DRC is verified through comparison with four algorithms using 45 instances.The results reveal that Q-MOGWO outperforms comparison algorithms in terms of solution quality.

Post-COVID-19 Challenges for Full-Time Employees in China: Job Insecurity, Workplace Anxiety and Work-Life Conflict

Background:Though the COVID-19 pandemic recedes,and our society gradually returns to normal,Chinese people’s work and lifestyles are still influenced by the“pandemic aftermath”.In the post-pandemic era,employees may feel uncertainty at work due to the changed organizational operations and management and perceive the external environment to be more dynamic.Both these perceptions may increase employees’negative emotions and contribute to conflicts between work and life.Drawing from the ego depletion theory,this study aimed to examine the impact of job insecurity during the post-pandemic era on employees’work-life conflicts,and the mediating effect of workplace anxiety in this relationship.Besides,this study also considered the uncertainty of the external macro environment as a boundary condition on the direct and indirect relationship between job insecurity and work-life conflicts.Methods:A two-wave questionnaire survey was conducted from October to December 2023 to collect data.MBA students and graduates from business school with full-time jobs are invited to report their perception of job insecurity,work anxiety,perceived environment uncertainty,and work-life conflict.This resulted in 253 valid responses.Data analysis was performed using the SPSS,Amos,and PROCESS.Results:The results showed that:(1)Employees’job insecurity would directly intensify the work-life conflict(B=0.275,p<0.001,95%CI[0.182,0.367]).(2)Employees’workplace anxiety mediates the relationship between job insecurity and work-life conflict(B=0.083,p<0.001,95%CI[0.047,0.130]).(3)The mediating effect of workplace anxiety between job insecurity and work-life conflict exists when perceived environmental uncertainty is high(B=0.049,95%CI[0.011,0.114]),while vanishes when perceived environmental uncertainty is low(B=0.024,95%CI[−0.005,0.068]).Conclusion:Job insecurity combined with perceived environmental uncertainty in the postpandemic era fuels employees’workplace anxiety and work-life conflicts.Post-pandemic trauma lingers,necessitating urgent attention and response.

An Improved Harris Hawk Optimization Algorithm for Flexible Job Shop Scheduling Problem

Flexible job shop scheduling problem(FJSP)is the core decision-making problem of intelligent manufacturing production management.The Harris hawk optimization(HHO)algorithm,as a typical metaheuristic algorithm,has been widely employed to solve scheduling problems.However,HHO suffers from premature convergence when solving NP-hard problems.Therefore,this paper proposes an improved HHO algorithm(GNHHO)to solve the FJSP.GNHHO introduces an elitism strategy,a chaotic mechanism,a nonlinear escaping energy update strategy,and a Gaussian random walk strategy to prevent premature convergence.A flexible job shop scheduling model is constructed,and the static and dynamic FJSP is investigated to minimize the makespan.This paper chooses a two-segment encoding mode based on the job and the machine of the FJSP.To verify the effectiveness of GNHHO,this study tests it in 23 benchmark functions,10 standard job shop scheduling problems(JSPs),and 5 standard FJSPs.Besides,this study collects data from an agricultural company and uses the GNHHO algorithm to optimize the company’s FJSP.The optimized scheduling scheme demonstrates significant improvements in makespan,with an advancement of 28.16%for static scheduling and 35.63%for dynamic scheduling.Moreover,it achieves an average increase of 21.50%in the on-time order delivery rate.The results demonstrate that the performance of the GNHHO algorithm in solving FJSP is superior to some existing algorithms.

Preliminary Study on the Construction of Evaluation Index System for Clinical Medicine Postgraduates Based on Job Competency

Objective:To evaluate the practicality of constructing multiple evaluation index systems for postgraduates in clinical medicine professional degree based on job competency.Methods:The theoretical framework of the evaluation index system was initially developed using expert consultation,literature review,and other methods.20 survey experts were selected and consulted using the Delphi method to screen and evaluate the weights of multiple indicators.Data was then entered into a table to evaluate the practicality of the constructed indicators.Results:The questionnaire recovery rate of the first round of expert consultation was 92.50%,and the second round was 100.00%.The comparison between the two groups showed P<0.05.The authority level of the first round was 0.817,and the second round was 0.811.In the first round of coordination,the chi-square value of the first-level indicators was 0.498,and the chi-square value of the second-level indicators was 0.628.In the second round of coordination,the chi-square value of the first-level indicators was 0.573,and the chi-square value of the second-level indicators was 0.634.The comparison between the two rounds showed P<0.05.The evaluation index system included 2 first-level indicators,5 second-level indicators,and 31 third-level indicators.Conclusion:Constructing an evaluation index system based on job competency is highly scientific,with a reasonable construction process and high practical value.

A Study of the Relationship between Emotion Regulation and Job Burnout among Junior High School Novice English Teachers

This study aimed to examine the relationship between junior high school novice English teachers’emotion regulation and job burnout.To achieve this purpose,a survey consisting of various scales was administered to 133 primary school teachers selected from Yunnan Province in China.Statistical analyses revealed gender differences in job burnout and emotion regulation among these teachers and highlighted the association between these two variables.The findings established that male novice English teachers in junior schools generally experience lower levels of job burnout and possess better emotion regulation skills compared to their female counterparts.Additionally,a strong negative correlation was identified between job burnout and emotional regulation skills,indicating that the stronger the emotional regulation skills,the less likely novice English teachers are to experience job burnout.The study further emphasized caution in the use of cognitive reappraisal as an emotion regulation strategy,as it may have an adverse effect on mitigating job burnout.This study concluded with recommendations for providing junior high school novice English teachers with opportunities to develop and enhance their emotion regulation skills to reduce job burnout effectively.

Deep Reinforcement Learning Solves Job-shop Scheduling Problems

To solve the sparse reward problem of job-shop scheduling by deep reinforcement learning,a deep reinforcement learning framework considering sparse reward problem is proposed.The job shop scheduling problem is transformed into Markov decision process,and six state features are designed to improve the state feature representation by using two-way scheduling method,including four state features that distinguish the optimal action and two state features that are related to the learning goal.An extended variant of graph isomorphic network GIN++is used to encode disjunction graphs to improve the performance and generalization ability of the model.Through iterative greedy algorithm,random strategy is generated as the initial strategy,and the action with the maximum information gain is selected to expand it to optimize the exploration ability of Actor-Critic algorithm.Through validation of the trained policy model on multiple public test data sets and comparison with other advanced DRL methods and scheduling rules,the proposed method reduces the minimum average gap by 3.49%,5.31%and 4.16%,respectively,compared with the priority rule-based method,and 5.34%compared with the learning-based method.11.97%and 5.02%,effectively improving the accuracy of DRL to solve the approximate solution of JSSP minimum completion time.

The Docking of Talent Training Strategies and Job Market in Higher Vocational Colleges Under the Background of Slow and Difficult Employment

Students in higher vocational colleges are faced with difficult problems such as slow employment,which highlights the dislocation between education and the market.This study surveyed thousands of students and hundreds of enterprises,and put forward docking strategies.The analysis shows that the mismatch between skills adaptation and literacy is the main cause of slow employment.To this end,research and design training programs,including curriculum restructuring,school-enterprise cooperation practice platforms,and employment-oriented quality improvement plans are imperative.At the same time,we will develop teaching modules for career planning to enhance competitiveness and ensure that the content is synchronized with industry standards.After the implementation,the employment rate of students increased by 15%within six months,the degree of interconnection increased by 20%,and the degree of enterprise recognition increased by 25%.The research effectively promotes the docking of higher vocational education with the market,and has far-reaching significance for easing slow employment.

促进与防御的权衡:如何重塑更能缓解工作不安全感?

基于工作要求-资源理论和人-环境匹配理论,本文探讨促进和防御定向型工作重塑匹配性对工作不安全感的影响,检验个人-工作匹配的中介作用及高承诺工作系统(HCWS)的调节作用。基于493名员工与51名人力资源负责人构成的两时点纵向配对数据,并利用多项式回归和响应面分析法得出以下结论:(1)促进定向型与防御定向型工作重塑匹配时,高促进-高防御的工作重塑组合比低促进-低防御组合更能降低工作不安全感;(2)促进定向型与防御定向型工作重塑不匹配时,高促进-低防御的工作重塑组合比低促进-高防御组合更能降低工作不安全感;(3)个人-工作匹配在促进-防御定向型工作重塑匹配性与工作不安全感之间起中介作用,即高促进-高防御的工作重塑组合通过个人-工作匹配降低工作不安全感;(4)HCWS调节了促进-防御定向型工作重塑匹配性与个人-工作匹配之间的关系,即HCWS能缓冲低促进-高防御组合与高促进-低防御组合对个人-工作匹配的效应差异;(5)HCWS调节了个人-工作匹配在促进-防御定向型工作重塑匹配性与工作不安全感之间的中介作用。

基层医疗卫生机构全科医生工作满意度及影响因素研究

背景 我国基层全科医生数量缺口大,基层全科医生工作满意度低是导致人才匮乏的重要因素。目的 了解基层医疗卫生机构全科医生的工作满意度及影响因素。方法 于2018年12月—2019年1月,对成都市基层医疗卫生机构所有注册为全科医学专业的全科医生(n=1 549)进行问卷调查,内容包括全科医生的基本信息、工作满意度及其对提高工作满意度的建议。采用无序多分类Logistic回归分析基层全科医生工作满意度的影响因素。结果 回收有效问卷1 539份,问卷有效应答率为99.35%。全科医生的总体工作满意度为(114.0±17.2)分,处于“一般”水平。其中,工作流程维度的平均得分最低,为(10.6±2.5)分,处于“不满意”水平;其他维度的平均得分皆处于“一般”水平;薪酬和福利待遇维度的得分相对较低,分别为(11.8±2.8)分和(11.6±2.8)分。不同性别、年龄全科医生的总体工作满意度比较,差异有统计学意义(P<0.05);不同学历、职称、工作年限全科医生的总体工作满意度比较,差异无统计学意义(P>0.05)。多元Logistic回归分析结果显示,年龄是全科医生总体工作满意度的影响因素(P<0.05),30~39岁[OR(95%CI)=0.132(0.035~0.494)]和40~49岁[OR(95%CI)=0.207(0.065~0.664)]全科医生的总体工作满意度低于≥50岁者(P<0.05)。提出提高自身工作满意度建议的人数为419名,共提建议427人次。其中,“提高待遇”的建议居首位(25.53%,109/427)。结论 成都市基层医疗卫生机构全科医生的总体工作满意度一般,全科医生对工作流程最不满意,最希望提高待遇,年龄是基层全科医生工作满意度的影响因素。建议针对全科医生满意度“短板”,采取有效措施提高其工作满意度,如简化工作流程、实施“按劳分配”等。

数字化时代工作自主权对商业模式创新的影响研究

随着传统业务与数字技术的逐渐融合,工作新场景、新业态对员工的数字知识与技能提出更高要求,需要赋予员工工作自主权来提升自身数字素养,以便更好地推动企业商业模式创新,但当前的研究对二者的作用路径与机理还缺乏深入的探讨。为此,基于工作要求-资源模型探讨了数字化时代员工工作自主权对商业模式创新的影响,以及工作重塑的中介作用与包容型领导的调节作用。研究结果表明:(1)数字化时代员工的工作自主权会对商业模式创新产生显著的正向影响;(2)工作重塑在工作自主权与商业模式创新之间起到部分中介作用;(3)包容型领导不仅能够强化数字化时代工作重塑对商业模式创新的影响,而且能够强化工作自主权通过工作重塑影响商业模式创新的中介效应。因此,在数字化时代,企业管理者应给予员工一定的工作自主权,为他们的工作重塑行为提供必要的数字化资源支持,同时采取包容型的领导风格,缓解员工因数字化新工作要求带来的压力与疲惫,使其有意愿与精力投身于商业模式创新活动。

平台型领导对内部创业行为的影响——一个双中介效应模型

平台经济条件下,企业运营趋向于平台化,员工则成为内部创业者。基于主动动机模型和工作—环境匹配模型,构建以心理所有权、工作重塑为中介变量,创业文化为调节变量的平台型领导与员工内部创业行为关系模型。实证研究发现:平台型领导显著正向影响员工内部创业行为;心理所有权和工作重塑分别在平台型领导与员工内部创业行为之间发挥部分中介效应,且心理所有权显著正向影响工作重塑,二者在平台型领导与员工内部创业行为之间发挥链式中介效应;内部创业文化正向调节平台型领导与员工内部创业行为间关系,内部创业文化水平越高,平台型领导对员工内部创业行为的直接效应越大。

考虑工序相关性的动态Job shop调度问题启发式算法

提出一类考虑工序相关性的、工件批量到达的动态Job shop调度问题,在对工序相关性进行了定义和数学描述的基础上,进一步建立了动态Job shop调度问题的优化模型。设计了一种组合式调度规则RAN(FCFS,ODD),并提出了基于规则的启发式算法以及该类动态Job shop调度问题的算例生成方法。为验证算法和比较评估调度规则的性能,对算例采用文献提出的7种调度规则和RAN(FCFS,ODD)进行了仿真调度,对调度结果的分析表明了算法的有效性和RAN(FCFS,ODD)调度规则求解所提出的动态Job Shop调度问题的优越性能。

基于ACPM和BFSM的动态Job-Shop调度算法

通过对不同时刻开始加工的产品加工树的分解 ,可将产品加工工序分为具有惟一紧前、紧后的相关工序和独立工序 在对这两类工序研究分批综合应用拟关键路径法 (ACPM )和最佳适应调度方法 (BFSM)调度时 ,考虑了关键设备的工序紧凑性 通过分析与实例验证 ,所提出的调度方法对解决动态的Job

免疫模拟退火算法及其在柔性动态Job Shop中的应用

针对车间作业调度问题,在深入分析免疫算法和模拟退火算法的基础上,将两种算法巧妙结合,提出免疫模拟退火算法。该算法引入了免疫记忆、抽取疫苗和接种疫苗等免疫机制,有助于优良个体和基因的保留和利用,提高了算法收敛性,而且其基于概率突跳特性的爬山性能可以避免早熟现象。针对西安航空发动机(集团)有限公司的柔性动态Job Shop,分别用模拟退火算法、免疫算法和免疫模拟退火算法进行了仿真和比较,研究结果表明,免疫模拟退火算法比单一算法性能更优,是求解柔性动态Job Shop问题的有效实用算法。

非货币激励因素对中小学教师工作满意度的影响——基于云贵川渝的调查

教师工作满意度是影响教师工作效能、促进教师可持续发展的重要因素。研究采用TALIS 2018教师问卷对云贵川渝4个省份的中小学教师展开抽样调查。数据分析显示,该地区教师工作满意度处于较高水平,但内部群体间存在显著性差异。回归分析发现,云贵川渝4省份中小学教师工作满意度受工资薪酬以及其他非货币因素的影响。比较分析发现,云贵川渝初中教师对工资薪酬的接受度高于上海同行,但对社会认可、媒体关注等非货币激励因素的认可程度却低于上海教师,从而使其工作满意度整体水平低于上海。研究认为,坚持教育家精神铸魂强师的同时提升教师工作满意度,需要在巩固提高工资薪酬水平的基础上,进一步从优化教师工作体验、提高教师学历、打通职业晋升渠道、营造尊师重教良好氛围等非货币因素着手,在满足教师内在需求的同时,为加快教育现代化、建设教育强国、办好人民满意的教育提供有力支撑。