The Relationship between Rural Left-Behind Children’s Physical Activity and Hope:The Mediating Effects of Perceived Social Support

It has been confirmed in previous studies that there is a positive correlation between physical activity and hope.In this study,rural left-behind children in China was taken as the participants to investigate the impact of physical activity on hope in rural left-behind children and examine the mediating role of perceived social support in the relationship between physical activity and hope.797 valid copies of the questionnaire were collected from China.Pearson correlation coefficient was employed to analyze the relationship between physical activity and hope;SEM and Bootstrap were used to test the mediating effect of perceived social support.The results show that physical activity can not only directly and positively predict the level of hope in rural leftbehind children but can also predict the level of hope through perceived social support;perceived social support plays a mediating role in the relationship between physical activity and hope.These results highlight the necessity to pay more attention to the physical activity of left-behind children and the possibility to improve the level of hope by increasing their physical activity;at the same time,the acquisition of more material,emotional and psychological support from teachers and guardians is more conducive to improving the sense of hope in left-behind children.These findings can deepen the understanding of the sense of hope in left-behind children,and provide new methods for and enlightenments on improving the level of hope in left-behind children.

中国铁建分拆上市动因及绩效研究

本文选择了大型国有企业中国铁建及子公司铁建重工为研究对象,分析其分拆上市的动因。作为境内分拆上市的首批项目,铁建重工的分拆无市场先例可循,具有较强的研究意义。并且对企业分拆上市的绩效进行分析,以期通过对成功分拆上市的企业剖析为尝试分拆上市公司提供借鉴与参考。

Psychological Capital Status of Left-Behind Rural Children in China and Its Relationship with Mental Health

Background:The mental health of left-behind rural children of China has become a prominent social problem.At the same time,psychological capital has become a positive psychological resource to promote personal growth.However,the relationship between psychological capital and mental health of left-behind rural children has not been explored.Method:A total of 332 left-behind rural children were investigated using a questionnaire of psychological capital and mental health scale.The psychological capital status of left-behind rural children and its impact on mental health were analyzed.Results:(1)Left-behind rural children were found to have a psychological capital score of was 3.16±0.56;Gender,age,grade,and school style had no significant effect on psychological capital.(2)Left-behind rural children obtained a mental health score of 2.21±0.5 G and gender,age,grade,and school style had no significant effect on mental health.(3)A significant negative correlation is found between psychological capital and mental health scores of left-behind rural children.Regression analysis shows that psychological capital is negatively correlated with mental health scores.Conclusion:The psychological capital of left-behind rural children can positively predict their mental health,and thus developing the former can promote the latter.

Fault monitoring based on mutual information feature engineering modeling in chemical process

A large amount of information is frequently encountered when characterizing the sample model in chemical process.A fault diagnosis method based on dynamic modeling of feature engineering is proposed to effectively remove the nonlinear correlation redundancy of chemical process in this paper.From the whole process point of view,the method makes use of the characteristic of mutual information to select the optimal variable subset.It extracts the correlation among variables in the whitening process without limiting to only linear correlations.Further,PCA(Principal Component Analysis)dimension reduction is used to extract feature subset before fault diagnosis.The application results of the TE(Tennessee Eastman)simulation process show that the dynamic modeling process of MIFE(Mutual Information Feature Engineering)can accurately extract the nonlinear correlation relationship among process variables and can effectively reduce the dimension of feature detection in process monitoring.

Public Square Dancing Intervention on Subjective Well-Being of Middle-Aged and Elderly People:A Meta-Analysis

Objective:To understand the influence of public square dancing on the subjective well-being of middle-aged and elderly people.Methods:According to the principle of Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)guidelines,we search Chinese databases,such as CNKI,Wanfang Data,and VIP,and English databases,such as Proquest,Web of Science,Pubmed,Cochrane,and ScienceDirect,and collect relevant articles at home and abroad from 2006 to December 2019 for meta-analysis in January 2020.Result:A total of 10 articles were included.The meta-analysis results showed that the well-being of middle-aged and elderly people in the public square dancing intervention group was significantly higher than that of the other exercise group and control group(both P<0.01).The results of the subgroup analysis showed the following:Different durations of intervention significantly influence the intervention effect(P<0.01).No difference was found between the effect of the mixed-gender intervention and the individual female intervention(P>0.05).No significant difference was found between the groups with weekly intervention frequency(P>0.05).Conclusion:Public square dancing intervention is effective for middle-aged and elderly people’s subjective well-being.Neither mixed intervention nor the times of weekly intervention have an impact on the intervention effect.However,the length of duration of intervention influences the intervention effect.