Chi Zhang

In this article, we focus on an extended model M ¯ of bounded rationality. Based on a rationality function with lower semicontinuity, we analyze the relationship between structural stability and robustness of Ω ¯. To further demonstrate the applicability of our theory, we introduce a model Ω ¯ 0 containing an abstract rationality function and generalize abstract fuzzy economies. We demonstrate the structural stability of the extended model Ω ¯ 0 at ξ ¯, ɛ. That is to say, Ω ¯ 0 is robust to the ξ ¯, ɛ -equilibria.

Background: Upper limb functional exercise has a positive effect on promoting the rehabilitation of upper limb function. However, little is known, about what drives postoperative patients to engage in and even maintain the advised exercises. This study integrated the health action process approach and the theory of planned behavior theory to investigate the psychosocial determinants on the initiation and maintenance of ULFE in breast cancer patients. In addition, this study also tests key hypotheses relating to reasoned and implicit pathways to ULFE and its maintenance among postoperative patients with breast cancer.Methods: Purposive sampling was used to recruit patients from two breast cancer wards in a provincial hospital in Jiangsu, China. Patients completed self-reported questionnaire about constructs from integrated theories concerning ULFE at an initial time point : task self-efficacy, positive outcome expectations, negative outcome expectations, risk perception, attitude behavior, subjective norm, perceived behavioral control, behavioral intention, and ULFE-in hospital. Three months later, patients self-reported: maintenance self-efficacy, action planning, coping planning, recovery self-efficacy, and ULFE-maintenance.Results: The model has a good fit. For behavioral intention of ULFE, subjective norm and perceived behavioral control were positively directly related to behavioral intention. Regarding the initiation of ULFE, perceived behavioral control and behavioral intention had a direct positive relation to ULFE-IH. In the maintenance of ULFE, action planning, coping planning, maintenance self-efficacy, and recovery self-efficacy all had significant positive relation on ULFE-M. In addition, maintenance self-efficacy had a significant positive association on action planning, coping planning, and recovery self-efficacy. Coping planning was significantly predicted by behavioral intention. Additionally, behavioral intention is a mediator of subjective norm and perceived behavioral control to ULFE-IH. Action planning, coping planning, and recovery self-efficacy are mediators of maintaining self-efficacy to ULFE-M.Conclusions: This study presents the first attempt to integrate the health behavior model in ULFE in postoperative patients with breast cancer. The study has shown that the HAPA-TPB integrated model has good applicability and effectiveness to explain and predict ULFE initiation and maintenance. Future work can be considered to develop appropriate intervention strategies based on this integrated behavioral theory.

Researchers have recently indicated that employee perceptions of their firm’s corporate social responsibility (CSR) may shape their work behaviors. However, why and when CSR perceptions lead to counterproductive work behavior, such as cyberloafing, remains unclear. In this article, we first investigate the mediating role of workplace boredom in explaining the effect of perceived CSR toward employees on cyberloafing behaviors. We further examine the moderating role of moral disengagement in this process. Overall, the results of our cross-sectional, experimental, and three-wave studies provide strong evidence for our hypothesized relationships. Our research suggests that moral disengagement weakens the effect of internal CSR on workplace boredom, such that for employees high in moral disengagement, the level of internal CSR has a weaker effect on workplace boredom.

The integration of the global economy has led to an increasingly strong connection between the futures and spot markets of commodities. First, based on one-minute high-frequency prices, this paper applies the thermal optimal path method to examine the lead-lag relationship between Chinese crude oil futures and spot from March 2018 to December 2021. Second, we apply the Mixed Frequency Data Sampling Regression model and indicators such as deviation degree to test the degree of prediction of high-frequency prices in the futures market to the spot market. The experimental results show that the futures markets lead the spot market most of the time, but the lead effect reverses when major events occur; 60-minute futures high-frequency prices are the most predictive of daily spot data; crude oil futures’ predictive power declined after the Covid-19 outbreak and is more predictive when night trading is available. This study has important implications, not only to guide investors but also to provide empirical evidence and valid information for policy makers.

This research aims to analyze the influencing factors of migrant children’s education integration based on the convolutional neural network algorithm. The attention mechanism, LSTM, and GRU are introduced based on the CNN algorithm, to establish an ALGCNN model for text classification. Film and television review data set, Stanford sentiment data set, and news opinion data set are used to analyze the classification accuracy, loss value, Hamming loss, precision, recall, and micro-F1 of the ALGCNN model. Then, on the big data platform, data in the Comprehensive Management System of Floating Population and Rental Housing, Student Status Information Management System, and Student Information Management System of Beijing city are taken as samples. The ALGCNN model is used to classify and compare related data. It is found that in the MR, STT, and MPQA data sets, the classification accuracy and loss value of the ALGCNN model are better than other algorithms. HL is the lowest, the Pre is second only to the BERT algorithm, and the Re and F1 are both higher than other algorithms. From 2015 to 2019, the number of migrant children in different grades of elementary school shows a gradual increase. Among migrant children, the number of migrant children from other counties in this province is evidently higher than the number of migrant children from other provinces. Among children of migrant workers, the number of immigrants from other counties in this province is also notably higher than the number of immigrants from other provinces. With the gradual increase in the years, the proportion of township-level expenses shows a gradual decrease, whereas the proportion of district and county-level expenses shows a gradual increase. Moreover, the accuracy of the ALGCNN model in migrant children and local children data classification is 98.6 and 98.9%, respectively. The proportion of migrant children in the first and second grades of a primary school in Beijing city is obviously higher than that of local children. The average final score of local children was greatly higher than that of migrant children, whereas the scores of migrant children’s listening methods, learning skills, and learning environment adaptability are lower, which shows that an effective text classification model is established based on the CNN algorithm. In short, the children’s education costs, listening methods, learning skills, and learning environment adaptability are the main factors affecting migrant children’s educational integration, and this work provides a reference for the analysis of migrant children’s educational integration.

The 2003 SARS pandemic heralded the return of quarantine as a vital part of twenty-first century public health practice. Over the last two decades, MERS, Ebola, and other emerging infectious diseases each posed unique challenges for applying quarantine ethics lessons learned from the 2003 SARS-CoV-1 outbreak. In an increasingly interdependent and connected global world, the use of quarantine to contain the spread of SARS-CoV-2, or COVID-19, similarly poses new and unexpected ethical challenges. In this essay, we look beyond standard debates about the ethics of quarantine and state power to explore a key quarantine principle, Reciprocity, and how it is being negotiated by healthcare workers, volunteers, and citizens in the context of the Wuhan, China, quarantine. We analyze Reciprocity through the lens of two Wuhan case studies: healthcare workers, particularly nurses, who are simultaneously essential workers and quarantined citizens, asked by their hospital administration to shave their heads because adequate PPE was not available, and citizen-to-citizen mutual aid societies attempting to fill gaps in essential supplies left unfilled by the state. We analyze social media and video-blogs from Wuhan, on the platforms of Douyin and Sina Weibo, to understand how people define and respond to ethical and legal obligations in the wake of COVID-19. It is no surprise that quarantine principles from the 2003 SARS outbreak are inadequate for COVID-19 and that both infectious disease outbreak responses and ethics must adapt to the virtual age. We offer ideas to strengthen and clarify Reciprocal obligations for the state, hospital administrators, and citizens as the globe prepares for the next wave of COVID-19 circulating now.

This paper identifies brand age as an important factor in consumers’ brand evaluations following unethical firm behavior. In two experiments, we assess the effect of brand age on three types of brand evaluations: perceived quality, brand credibility, and behavioral intentions following a brand crisis. The findings suggest that disclosing an older brand’s age can not only improve consumers’ brand evaluations in general, but can also provide a buffering effect when the firm is involved in unethical behavior. Moreover, the relationship between brand age and consumers’ post-crisis intentions is mediated by perceived brand credibility. By exploring consumers’ attitudes following the most common firm response strategies, this research also identifies a boundary condition of the mitigating effect of brand age. Several significant implications for practitioners are discussed.