Purpose: Discuss the relationship among college students’ media internalized pressure, social physique anxiety, weight control self-efficacy, and sports participation in providing a reference for promoting college students to develop healthy and confident living habits.Methods: Take Southwest University in China as the object, select the subjects by stratified random sampling, and process the data with SPSS19.0 and AMOS21.0 statistical software.Results: Media internalized pressure is positively correlated with social physique anxiety, weight control self-efficacy, and sports participation; social physique anxiety is significantly positively (...) correlated with weight control self-efficacy and sports participation, and weight control self-efficacy is significantly positively correlated with sports participation; media internalized pressure has a direct effect on sports participation, and social physique anxiety and weight control self-efficacy play significant mediating roles in the relationship between media internalized pressure and sports participation, respectively; the chained mediating force of social physique anxiety and weight control self-efficacy also reaches a significant level.Conclusion: Media internalized pressure can influence college students’ sports participation through the direct path as well as indirect paths such as social physique anxiety, the intermediary effect of weight control self-efficacy, and chained intermediary effect of social physique anxiety–weight control self-efficacy, and social physique anxiety is another key factor affecting college students’ sports participation except media internalized pressure. (shrink)

The completeness of the modal logic S4 for all topological spaces as well as for the real line , the n-dimensional Euclidean space and the segment etc. was proved by McKinsey and Tarski in 1944. Several simplified proofs contain gaps. A new proof presented here combines the ideas published later by G. Mints and M. Aiello, J. van Benthem, G. Bezhanishvili with a further simplification. The proof strategy is to embed a finite rooted Kripke structure for S4 into a subspace (...) of the Cantor space which in turn encodes . This provides an open and continuous map from onto the topological space corresponding to . The completeness follows as S4 is complete with respect to the class of all finite rooted Kripke structures. (shrink)

This study examines whether an acquirer’s pre-announcement corporate social responsibility (CSR) engagement can provide an insurance-like effect to preserve acquirer returns during the announcement of an acquisition event. Drawing on stakeholder theory and signaling theory, we posit that CSR engagement accrues positive moral capital for an acquirer and sends a positive signal indicating the acquirer’s altruism, both of which temper stakeholders’ negative responses and prevent a reduction in market returns around the announcement of an acquisition. However, high-CSR engagement could backfire (...) when the acquirer makes a hostile takeover announcement. Incongruent signals between high-CSR engagement and the hostile practice are a sign of hypocrisy in the eyes of stakeholders, which can worry investors and hurt acquirer returns. By analysing 1310 acquisition transactions from 2002 to 2012, the results of our event study show that high-CSR acquirers generally enjoy positive acquirer returns during their acquisition announcements, but negative returns when the acquisitions are hostile. These findings support the idea that CSR engagement can provide insurance-like benefits during an event that is often seen as “negative”, while also identifying signal incongruence as an important boundary condition. (shrink)

This paper investigates the integrity of financial analysts by examining their recommendation responses to large quarterly earnings surprises. Although there is no significant difference in recommendation changes between affiliated and unaffiliated analysts in response to positive earnings surprises, affiliated analysts are more reluctant than unaffiliated analysts to downgrade stock recommendations in response to negative earnings surprises. The evidence implies that conflicts of interest undermine the integrity of financial analysts. We further examine the effects of reputation concern and the Global Research (...) Analyst Settlement as informal and formal mechanisms, on restoring analysts’ integrity. The results show that the positive bias in recommendations remains prevalent for affiliated analysts from reputable investment banks and for the postreform period. Finally, evidence from market reactions suggests that investors fail to notice that analysts’ integrity is compromised by conflicts of interest and are misled by affiliated analysts. (shrink)

Though largely ignored by educators and researchers, boredom, an aversive emotion, is the hurdle for many translation learners to be professional. It is all the more important to unpack the boredom factors of Chinese foreign language major students in translation classes, which will serve in promoting students’ engagement in L2 classes and translator cultivation. By using a sequential mixed approach, this study conducted a thematic analysis and built a structural equation model. Quantitative data were gleaned from 483 foreign major college (...) students in China and qualitative data were selected from students of 7 universities through snowball sampling. Initially, the first-order confirmatory factor analysis verified the adapted questionnaire and the second-order CFA finds each factor’s contribution. Then, the thematic analysis gives support to the empirical findings. Both quantitative and qualitative analyses revealed that task-based boredom is the most routinely experienced boredom. Moreover, two major sources of boredom in translation classes are found, including task-based boredom and teacher-related boredom. It is suggested that teachers should improve their classes and use more interesting and engaging materials and tasks with the proper level of difficulty. The finding can help educators to identify the major boredom in the translation class and help potential professional translators to grow. Future studies will also be facilitated by the present study to find approaches to tackle these boredom sources. (shrink)

The Organization Department of the Communist Party of China announced the Opinions on Further Regulation on Party and Political Leaders and Cadres Working Part-Time in Enterprises to force the resignation of government officials holding the position of independent director in listed companies. This paper empirically examines the impact of the GID resignation on firm performance using a difference-in-differences model, which is an exogenous event with a “natural experiment.” The study finds that after the promulgation of the Opinions, firms that lose (...) some of their political resources and their corporate performance decreases significantly compared to firms that do not experience GID resignations. A good external governance environment, while somewhat weakening, is not sufficient to offset the negative impact of the loss of political resources on firm performance. This paper further explores the mechanism by which the GID resignation affects firm performance: one important way in which the resignation of GIDs cause the loss of political resources on which the firm's development depends is that the loss of the firm's tax benefits after GID resignation directly leads to a decline in performance; it also leads to a reduction in the firm's financial subsidy income and a reduction in the amount of bank loans, but both of these do not have a significant effect on the decline in firm performance. The study suggests that GIDs play more of a resource-providing “official” role than an “independent director's” supervisory and advisory role in Chinese listed companies. The findings of this paper reveal the phenomenon of “Political-Business Spin” in China, which has some implications for developing countries, represented by China, to improve the independence of the board of directors and the corporate governance. (shrink)

The electroencephalogram is the most common method used to study emotions and capture electrical brain activity changes. Long short-term memory processes the temporal characteristics of data and is mostly used for emotional text and speech recognition. Since an EEG involves a time series signal, this article mainly studied the introduction of LSTM for emotional EEG recognition. First, an ALL-LSTM model with a four-layered LSTM network was established in which the average accuracy rate for emotional classification reached 86.48%. Second, four EEG (...) characteristics were extracted via the wavelet transform using the LSTM-based sentiment classification network. The experimental results showed that the best average classification accuracy of these four features was 73.48%. This was 13% lower than in the ALL-LSTM model, indicating that inappropriate feature extraction methods could destroy the timing of EEG signals. LSTM can be used to thoroughly examine EEG signal timing and preprocessed EEG data. The accuracy and stability of the ALL-LSTM model are significantly superior to those of the WT-LSTM model. The result showed that the process of emotion generation based on EEG is sequential. Compared with EEG emotion extraction using WT, the raw EEG signal’s timing is more suitable for the LSTM network. (shrink)

The purpose of this study was to examine the effect of group art therapy using traditional Chinese materials on improving the self-efficacy and social function of individuals diagnosed with schizophrenia. In China, little research has been conducted on patients to measure the effectiveness of group art therapy, especially using traditional Chinese materials. To address this research gap, 104 individuals diagnosed with schizophrenia were tested in a group art therapy program that included 30 treatment sessions and used a wide variety of (...) materials, including traditional Chinese materials, such as Chinese calligraphy, traditional Chinese painting, Chinese embroidery, and Chinese beads. The effect of art therapy was analyzed using the General Self-Efficacy Scale and Scale of Social Skills for Psychiatric Inpatients. This study demonstrates that group art therapy using traditional Chinese materials can improve self-efficacy and social function, reducing social and life function problems, and promote the recovery of individuals diagnosed with schizophrenia. (shrink)

ObjectivesSeveral studies have examined the effects of repetitive transcranial magnetic stimulation on associative memory but findings were inconsistent. Here, we aimed to test whether twice-daily rTMS could significantly improve AM.MethodsIn this single-blind, sham-controlled experiment, 40 participants were randomized to receive twice-daily sham or real rTMS sessions for five consecutive days. The stimulation target in left inferior parietal lobule exhibiting peak functional connectivity to the left hippocampus was individually defined for each participant. Participants completed both a picture-cued word association task and (...) Stroop test at baseline and 1 day after the final real or sham rTMS session. Effects of twice-daily rTMS on AM and Stroop test performance were compared using two-way repeated measures analysis of variance with main factors Group and Time.ResultsThere was a significant Group × Time interaction effect. AM score was significantly enhanced in the twice-daily real group after rTMS, but this difference could not survive the post hoc analysis after multiple comparison correction. Further, AM improvement in the twice-daily real group was not superior to a previously reported once-daily rTMS group receiving 8,000 pulses. Then, we combined the twice- and once-daily real groups, and found a significant Group × Time interaction effect. Post hoc analysis indicated that the AM score was significantly enhanced in the real group after multiple comparisons correction.ConclusionOur prospective experiment did not show significant rTMS effect on AM, but this effect may become significant if more participants could be recruited as revealed by our retrospective analysis. (shrink)

Previous research studies of traffic networks are mainly based on planar networks and less considered the influence of multilayer networks, which illustrate and represent different appropriate urban traffic modes. Development of rail and road networks is inseparable from the development of a prosperous urban area; thus, research on multilayer networks has scientific potential and fulfils a real need. In this paper, a framework of complex network based integrated multilayer urban growth and optimisation model is proposed, to analyse the complex relationships (...) between the traffic network structure, the population growth, and the urban land-use. The innovation of this paper is the combination of the traffic complex multilayer networks and the “Four Step Model”. With the multiobjective, multilayer network coevolution and optimisation model, a more efficient traffic network layout was generated based on different land-use, population density, and travel speed scenarios. Then, this paper has proved that the proposed CNIMUGOM can save the traffic network construction investment, reduce the travel cost, make the urban traffic network more efficient, and decrease the total traffic flow amount. This research has connected the recent complex multilayer network related study and traditional urban economic model based study. The findings of the study afford to improve the current land-use and traffic integrated models and can provide traffic network planning suggestions for urban agglomeration development. (shrink)

In parallel with the rapid rise in breast cancer incidence, there is also a noticeable rise in the number of patients who experience persistent negative body image cognition after breast cancer surgery. This study aimed to explore the differences in illness perception, social support, and body image cognition among breast cancer patients with different surgical methods, and the correlation, regression, and mediation among the three variables. The Brief Illness Perception Questionnaire, the Social Support Rating Scale and the Body Image Cognition (...) after Breast Cancer Questionnaire were used to evaluate breast cancer patients’ illness perception, social support and body image cognition. Data analyses were performed by descriptive statistics, independent samples t-test, analysis of variance, Pearson correlation, and linear regression. The mediation was explored by the PROCESS V3.3. The study found that breast cancer patients undergoing radical mastectomy and modified radical mastectomy demonstrated more negative illness perception, body image cognition, and lower social support compared with the patients receiving nipple-sparing mastectomy. The subscale cognitive representation of BIPQ was strongly positively correlated with BIBCQ. Illness perception positively predicted body image cognition, while social support negatively predicted body image cognition. Social support partially mediated illness perception and body image cognition, exhibiting a positive role in post-operative body image cognition. (shrink)

Currently, the coronavirus disease 2019 pandemic experienced by the international community has increased the usage frequency of borderless, highly personalized social media platforms of all age groups. Analyzing and modeling texts sent through social media online can reveal the characteristics of the psychological dynamic state and living conditions of social media users during the pandemic more extensively and comprehensively. This study selects the Sina Weibo platform, which is highly popular in China and analyzes the subjective well-being of Weibo users during (...) the COVID-19 pandemic in combination with the machine learning classification algorithm. The study first invokes the SWB classification model to classify the SWB level of original texts released by 1,322 Weibo active users during the COVID-19 pandemic and then combines the latent growth curve model and the latent growth mixture model to investigate the developmental trend and heterogeneity characteristics of the SWB of Weibo users after the COVID-19 outbreak. The results present a downward trend and then an upward trend of the SWB of Weibo users during the pandemic as a whole. There was a significant correlation between the initial state and the development rate of the SWB after the COVID-19 outbreak. LGMM results show that there were two heterogeneous classes of the SWB after the COVID-19 outbreak, and the development rate of the SWB of the two classes was significantly different. The larger class showed a slow growth, while the smaller class showed a rapid growth. Furthermore, the slope means across the two classes were significantly different. Therefore, the individuals with a higher growth rate of SWB exhibited stronger adaptability to the changes in their living environments. These results could help to formulate effective interventions on the mental health level of the public after the public health emergency outbreak. (shrink)

This research empirically analyzes the psychological impact of smog pollution on investors. Results indicate that smog pollution has negative impact on investor sentiment which is weakened by the positive tone in media reporting. Empirical evidence for the impact of smog pollution on investor sentiment and the related moderating role of media tone is presented in this study.