The pervasive nature of social media can result in excessive use and addiction, but whether excessive use of social media is good or bad for individuals' creativity is unclear. This study explored the direct and indirect impact of excessive use of WeChat on individuals' creativity in workplace, focusing on how excessive use of WeChat promotes or restrains creativity through knowledge sharing and psychological strain. Based on the person–environment fit model and motivation theory, this study examined the three paths of excessive (...) WeChat use affecting individuals' creativity in workplace. We used the structural equation model to test our research model. A survey of 364 employees revealed that excessive WeChat use directly promotes creativity and indirectly improves creativity via knowledge sharing, but excessive WeChat use does not lead to psychological strain. These findings, obtained by theoretically and empirically investigating the positive outcomes of excessive WeChat use, suggest an upside to excessive WeChat use. The implications and limitations of this study and future research on excessive-use behavior are also discussed. (shrink)

It can be challenging to learn algorithms due to the research of business-related few-shot classification problems. Therefore, in this paper, we evaluate the classification of few-shot learning in the commercial field. To accurately identify the categories of few-shot learning problems, we proposed a probabilistic network method based on few-shot and one-shot learning problems. The enhancement of the original data was followed by the subsequent development of the PN method based on feature extraction, category comparison, and loss function analysis. The effectiveness (...) of the method was validated using two examples. Experimental results demonstrate the ability of the PN method to effectively identify the categories of commercial few-shot learning problems. Therefore, the proposed method can be applied to business-related few-shot classification problems. (shrink)

Drawing on goal setting theory and social cognition career theory, this study empirically proposes an operational definition of career success criteria clarity (CSCC) and further explores its impact on career satisfaction, person-job fit, and subjective well-being through the mediating role of career decision-making self-efficacy (CDSE). A pilot study of 231 samples showed that the CSCC scale had good reliability and validity. To further test the effects of CSCC on crucial employment outcomes, as well as the mediating role of CDSE, 240 (...) employees were included in an additional survey. Structural equation modeling path analysis supported all the expected hypotheses. Results indicated that: 1) CSCC was positively correlated to career satisfaction; 2) CSCC was positively correlated to person-job fit; 3) CSCC was positively correlated to subjective well-being; 4) CSCC was positively correlated to CDSE; 5) CDSE fully mediated the relationship between CSCC and career satisfaction; 6) CDSE fully mediated the relationship between CSCC and person-job fit; and 7) CDSE partly mediated the relationship between CSCC and subjective well-being. The results contributed to social cognition career theory model and provided suggestions for both the career educators and consultants. (shrink)

This study aims to assess the level and determinants of the general public's willingness to organ donation. We conducted a population-based cross-sectional study of 4261 participants in China. The primary outcome was the willingness to donate organs. Logistic regression modelling was used to determine the factors that affect willingness to donate organs. Overall, the proportion of participants who showed a willingness to donate organs was 47.45% (95%CI: 0.46, 0.49) in this study. Logistic regression modelling showed participants from Western (OR = (...) 1.33, 95%CI = 1.11-1.59) and Eastern China (OR = 1.40, 95%CI = 1.19-1.65) were more willing to donate organs compared with those from Central China. The odds of being willing to donate organs was higher in females than males (OR = 1.35, 95%CI = 1.17-1.55); and was higher in those participants with experience of organ donation (OR = 1.58, 95%CI = 1.13-2.21), experience of caring for organ transplant patients (OR = 1.45, 95%CI = 1.01-2.07), and those undertaking related voluntary activities (OR = 1.67, 95%CI = 1.45-1.94), than those without. The general public's level of willingness to organ donation was not high in this study. Geographical region, gender, experience of organ donation related activities, taking care of organ transplant patients and volunteering in related activities were independently associated with participants' willingness to donate organs. (shrink)

Green innovation investments have rapidly grown since 2000. Green innovation indexes play important roles and are typically constructed by screening and indexing. However, Nobel Laureate Markowitz emphasizes portfolio selection instead of security selection and accentuates that “A good portfolio is more than a long list of good stocks.” Moreover, the screening-indexing strategies ignore that investors can take green innovation as an additional objective and thus gain additional utility. We consequently construct 3-objective portfolio selection for green innovation in addition to variance (...) and expected return. An efficient frontier of portfolio selection then extends to an efficient surface which is a panorama of the optimal variance, expected return, and expected green innovation. Investors thus fully envisage the trade-offs and enjoy the freedom of choosing preferred portfolios on the surface. In contrast, the screening-indexing strategies inflexibly leave investors with only one point. As the originality, we prove in a theorem that there typically exists a curve on the efficient surface so all portfolios on the curve dominate the green innovation index. We test the dominance by component stocks of China Securities Index 300 and obtain affirmative results out of sample. The results still hold in robustness tests. At last, we classify green innovation into categories, further model the categories by general k -objective portfolio selection, and still illustrate the dominance. Consequently, investors can consider and control each category. (shrink)

本书内容包括:当代军人的世界观、当代军人的时代观、当代军人的国家观、当代军人的安全观、当代军人的战争观、当代军人的使命观等。.

This study aims to evaluate the changes in shot characteristics of elite women table tennis players through the longitudinal analysis of women's singles finals and semifinals from 2004 to 2021 Olympic Games. A total of 13 games were selected, and the stroke position, stroke type, ball placement, and stroke efficacy of 5,877 shots were analyzed using the notational analysis method. A chi-square test was used to test whether the shot characteristics had changed between game years, and the adjusted residual was (...) calculated to judge these changes. In the four dimensions, namely, stroke position, stroke type, ball placement, and stroke efficacy, the shot characteristics of women table tennis players have changed with the year of the Olympic Games. The backhand stroke position has an upward trend from 55.0 to 58.1%, and the type of flip stroke has a downward trend from 7.6 to 2.1%. The ball placements of forehand and middle long have two fluctuations first rising from 11.2 to 12.7% and 20.3 to 23.7% and then falling from 12.7 to 5.3% and 23.7 to 16.0%. Moreover, backhand long is being increasingly used. In the year of equipment change, the proportion of neutral stroke increases from 40.0 to 61.5%. Once the players have become adapted to the equipment, the proportion of neutral stroke decreases from 61.5 to 48.5%. The development trend of women table tennis players is that the extreme stroke will be further increasingly used. Results suggest that elite women table tennis coaches and players should focus on the technical training in the forehand and backhand positions, strengthen the practice of topspin and block, and pay attention to the backhand long landing area. Women's table tennis coaches and players also need to pay close attention to the possible impact of changes in rules and equipment and carry out targeted training in advance to minimize the impact on the stroke efficacy of players. (shrink)

Changing human behavior is critical to mitigating the increasingly severe environmental harm. Although numerous studies focus on private-sphere or generalized pro-environmental behavior, relatively little research examines explicitly public-sphere PEB from a collective action perspective. This study incorporates trust and identity into the Attitude-Behavior-Context theory to investigate Chinese residents’ participation in public-sphere PEB. Primary data collected from 648 residents in China tested the model empirically. The results indicate that social trust, environmentalist self-identity, and politicized identity positively predict public-sphere PEB and that (...) institutional trust positively impacts non-activist behaviors but negatively relates to environmental activism. There is also evidence that trust and identity are moderators of attitude and public-sphere PEB. Specifically, social trust and environmentalist self-identity strengthen the effect of attitude on public-sphere PEB. Politicized identity increases the impact of attitude on environmental activism but not on non-activist behaviors, and there is no significant moderating effect of institutional trust. The findings deepen the understanding of public-sphere PEB and make more targeted policies accordingly. (shrink)

ObjectiveTo investigate the association of standing balance with cognitive functions and the rate of cognitive decline among middle-aged and older Chinese adults.MethodsParticipants were selected from China’s Health and Retirement Longitudinal Study. A total of 8,499 subjects aged ≥45 years who participated in wave 1 to wave 3 surveys were included in the final analysis. Standing balance was measured using the tandem test, and participants were categorized into two groups according to their ability to maintain standing balance. Cognitive functions were assessed (...) in three domains: episodic memory, mental status, and global cognition. The associations between standing balance scores, cognitive scores, and the rate of cognitive decline were evaluated using linear regression and linear mixed models.ResultsCompared with participants who successfully completed the standing balance test, those who were unable to complete the test had lower scores on episodic memory [β = −0.18; 95% confidence interval : −0.24, −0.11], mental status, and global cognition after 4 years of follow-up. In addition, the rate of decline in mental status and global cognition increased by 0.10 and 0.08 units, respectively, in participants who were unable to complete the test compared with their counterparts.ConclusionGood standing balance was significantly associated with higher cognitive function and a lower decline in mental status and global cognition in middle-aged and older Chinese adults. (shrink)

BackgroundTurnover intention, an employee’s intention to voluntarily leave their jobs, affects workforce sustainability. However, scarce data are available about turnover intention and its associated factors among psychiatrists in China, especially during the COVID-19 pandemic. The current research was designed to address this gap.MethodsAn anonymous, nationwide online survey was disseminated to psychiatrists in 41 psychiatric hospitals in China. We collected demographic data, job-related information, and participants’ turnover intention in the next 12 months.ResultsIn total, 3,973 psychiatrists completed the survey. The sample was (...) predominantly female and married, and nearly three-fourths had children. More than one-third had a master’s or doctoral degree in addition to their medical degree. The overall level of job satisfaction was moderate. The rate of turnover intention was 22.0% and was comparable in males and females. Psychiatrists who had participated in the frontline work of COVID-19 were more likely to report an intention to leave their current job. Multiple regression analyses suggested that turnover intention was significantly associated with having insomnia, longer working hours, and more working days per week.ConclusionDuring the pandemic period, approximately one-fifth of psychiatrists in China reported turnover intention. Factors associated with turnover intention included high job-related burdens, low job satisfaction, participation in the frontline work against COVID-19, and insomnia. To improve psychiatric workforce sustainability, policymakers and hospital administrators need to be aware of this potential challenge and address the concerns of psychiatrists in China. (shrink)

This study aims to assess the level and determinants of the general public's willingness to organ donation. We conducted a population-based cross-sectional study of 4261 participants in China. The primary outcome was the willingness to donate organs. Logistic regression modelling was used to determine the factors that affect willingness to donate organs. Overall, the proportion of participants who showed a willingness to donate organs was 47.45% (95%CI: 0.46, 0.49) in this study. Logistic regression modelling showed participants from Western (OR = (...) 1.33, 95%CI = 1.11-1.59) and Eastern China (OR = 1.40, 95%CI = 1.19-1.65) were more willing to donate organs compared with those from Central China. The odds of being willing to donate organs was higher in females than males (OR = 1.35, 95%CI = 1.17-1.55); and was higher in those participants with experience of organ donation (OR = 1.58, 95%CI = 1.13-2.21), experience of caring for organ transplant patients (OR = 1.45, 95%CI = 1.01-2.07), and those undertaking related voluntary activities (OR = 1.67, 95%CI = 1.45-1.94), than those without. The general public's level of willingness to organ donation was not high in this study. Geographical region, gender, experience of organ donation related activities, taking care of organ transplant patients and volunteering in related activities were independently associated with participants' willingness to donate organs. (shrink)

Leadership styles, especially empowering leadership, affect the psychological relationship between employees and organizations, and then affect employees’ positive behavior in the organization. In this research, we studied the effects of empowering leadership and psychological distance on employees’ pro-environmental behavior and explored the mechanism of green organizational climate. By adopting correlation analysis, statistical analysis, and regression analysis, we conducted a multisource field study of 873 valid employee questionnaires to verify our theoretical model. The results showed that empowering leadership had a significant (...) positive impact on psychological distance and employees’ pro-environmental behavior; and psychological distance played a partly intermediation role in the relationship between empowering leadership and employees’ pro-environmental behavior. Moreover, GOC can promote employees’ pro-environmental behavior, but it cannot regulate between psychological distance and employees’ pro-environmental behavior. The findings obtained some intriguing insights that could help to better guide employees toward pro-environmental behavior. (shrink)

The swarm intelligence algorithm simulates the behavior of animal populations in nature and is a new type of intelligent solution that is different from traditional artificial intelligence. Feature selection is a very common data dimensionality reduction method, which requires us to select the feature subset with the best evaluation criteria from the original feature set. Feature selection, as an effective data processing method, has become a hot research topic in the fields of machine learning, pattern recognition, and data mining and (...) has received extensive attention and attention. In order to verify the improvement effect of the feature selection algorithm based on the swarm intelligence algorithm on the data, this paper conducts experiments on six classes in the city’s first middle school with similar conditions. First, count the current situation of the students in the class, then divide them into classes, use different algorithms to teach them, and count the changes of the students after a period of teaching. The experiment found that the performance of students under the feature selection algorithm is about 30% higher than other teaching methods, and the awareness of cooperation between students reaches 0.8. It solves the contradiction between popularization and improvement and solves the problems of polarization and transformation of underachievers. The individuality of the algorithm has been fully utilized and developed. The test results show that the improved algorithm has faster convergence speed and higher solution accuracy, and the feature selection algorithm based on swarm intelligence algorithm can effectively improve the efficiency of the algorithm. (shrink)

With a focus in the financial market, stock market dynamics forecasting has received much attention. Predicting stock market fluctuations is usually challenging due to the nonlinear and nonstationary time series of stock prices. The Elman recurrent network is renowned for its capability of dealing with dynamic information, which has made it a successful application to predicting. We developed a hybrid approach which combined Elman recurrent network with factorization machine technique, i.e., the FM-Elman neural network, to predict stock market volatility. In (...) this paper, the Standard & Poor’s 500 Composite Stock Price index, the Dow Jones industrial average index, the Shanghai Stock Exchange Composite index, and the Shenzhen Securities Component Index were used to demonstrate the validity of our proposed FM-Elman model in time-series prediction. The results were compared with predictions obtained from the other two models which are basic BP neural network and the Elman neural network. Some experiments showed that the FM-Elman model outperforms others through different accuracy measures. Furthermore, the effects of volatility degree on prediction performance from different stock indexes were investigated. An interesting phenomenon had been found through some numerical experiments on the effects of different user-specified dimensions on the proposed FM-Elman neural network. (shrink)

Online health communities have enjoyed increasing popularity in recent years, especially in the context of the COVID-19 pandemic. However, several concerns have been raised regarding the privacy of users’ personal information in OHCs. Considering that OHCs are a type of data-sharing or data-driven platform, it is crucial to determine whether users’ health information privacy concerns influence their behaviors in OHCs. Thus, by conducting a survey, this study explores the impact of users’ health information privacy concerns on their engagement and payment (...) behavior in OHCs. The empirical results show that users’ concerns about health information privacy reduce their Paid in OHCs by negatively influencing their OHC engagement. Further analysis reveals that if users have higher benefit appraisals and lower threat appraisals, the negative effect of health information privacy concerns on users’ OHC engagement will decrease. (shrink)

This study aims to assess the level and determinants of the general public's willingness to organ donation. We conducted a population-based cross-sectional study of 4261 participants in China. The primary outcome was the willingness to donate organs. Logistic regression modelling was used to determine the factors that affect willingness to donate organs. Overall, the proportion of participants who showed a willingness to donate organs was 47.45% (95%CI: 0.46, 0.49) in this study. Logistic regression modelling showed participants from Western (OR = (...) 1.33, 95%CI = 1.11-1.59) and Eastern China (OR = 1.40, 95%CI = 1.19-1.65) were more willing to donate organs compared with those from Central China. The odds of being willing to donate organs was higher in females than males (OR = 1.35, 95%CI = 1.17-1.55); and was higher in those participants with experience of organ donation (OR = 1.58, 95%CI = 1.13-2.21), experience of caring for organ transplant patients (OR = 1.45, 95%CI = 1.01-2.07), and those undertaking related voluntary activities (OR = 1.67, 95%CI = 1.45-1.94), than those without. The general public's level of willingness to organ donation was not high in this study. Geographical region, gender, experience of organ donation related activities, taking care of organ transplant patients and volunteering in related activities were independently associated with participants' willingness to donate organs. (shrink)

This paper focuses on the characteristics of immersive media technology and the advantages, problems and solutions in applying this technology to improve the teaching effectiveness of ideological and political theory courses in colleges and universities. Firstly, it introduces the current development and characteristics of immersive media technology. Secondly, it analyzed the outstanding advantages of immersive media technology in teaching from the following perspectives: virtual reality and augmented reality; sensory stimulation and emotional experience; and human-computer interaction and self-harmony. Thirdly, it puts (...) forward the ways to improve the teaching effectiveness based on immersive media technology from the aspects of theoretical study, history study, and practical study of ideological and political theory courses in colleges and universities. Finally, it discusses the problems in applying immersive media technology to teaching the above courses and puts forward some solutions. (shrink)

Differential tractography and correlation tractography are new tractography modalities to study neuronal changes in brain diseases, but their performances in detecting neuronal injuries are yet to be investigated in patients with mild traumatic brain injury. Here we investigated the white matter injury in mTBI patients using differential and correlation tractography. The diffusion MRI was acquired at 33 mTBI patients and 31 health controls. 7 of the mTBI patients had one-year follow-up scans, and differential tractography was used to evaluate injured fiber (...) bundles on these 7 patients. All subjects were evaluated using digital symbol substitution test and trail making test A, and the correlation tractography was performed to explore the exact pathways related to the cognitive performance. Our results showed that differential tractography revealed neuronal changes in the corpus callosum in all 7 follow-up mTBI patients with FDR between 0.007 and 0.17. Further, the correlation tractography showed that the splenium of the corpus callosum, combined with the right superior longitudinal fasciculus and right cingulum, were correlated with DSST in the acute mTBI patients. The cognitive impairment findings in the acute stage and the longitudinal findings in the corpus callosum in the chronic stage of mTBI patients suggest that differential tractography and correlation tractography are valuable tools in the diagnostic and prognostic evaluation of neuronal injuries in mTBI patients. (shrink)