We apply to the art of calligraphy some of the semiotic concepts developed by Nelson Goodman. While this framework cannot describe everything that is interesting and valuable about specific calligraphic traditions, we argue that it can nonetheless elegantly capture some distinctive features of calligraphy and of its position among other major art forms.

As an essential direction for developing inclusive finance, digital financial inclusion breaks through the time and space constraints of inclusive finance development and has extensive connections between different regions. However, no research has modelled the network connections and the role and position of different digital financial inclusion development regions. This study constructed the spatial association network of China’s digital financial inclusion development and used the network analysis method and the quadratic assignment procedure method to study the structural and locational properties (...) and the influencing factors of the network. We found that although the network had a relatively low density, its connectivity and stability were excellent, and the network structure is not hierarchical; the centrality of some rapidly developing central and western provinces was greater than that of some developed eastern provinces; developed eastern provinces played a net spillover role, driving the development of digital financial inclusion in central and western provinces; and the spatial association was affected by the development level of the PC Internet and economy, the industrial structure, and the spatial adjacency. This study enriches the research on digital financial inclusion and provides a scientific basis for the formulation and implementation of policies to promote the further development of digital financial inclusion. (shrink)

Although narcissism is an important factor influencing entrepreneurial activity and outcomes, not much research has been conducted on the relationship between narcissism and entrepreneurship. To summarize the current literature on this relationship and provide an agenda for further in-depth research, a systematic review was conducted based on the PRISMA guidelines using Web of Science, Elsevier ScienceDirect, and EBSCO host databases. Accordingly, 33 articles have been identified as being eligible for the final synthesis. The findings of the present study showed, in (...) general, that (1) life history theory, person-environment fit theory (P-E theory), and career choice theory were mostly used to explore the topic of narcissism and entrepreneurial intention, social exchange theory was used to analyze narcissistic entrepreneurs' entrepreneurial motives and attitudes, and upper echelons theory (UET) was applied to research on the relationship between narcissism and entrepreneurial outcomes, (2) Narcissistic Personality Inventory (NPI) and narcissistic sub-dimension of the Dark Triad were frequently used self-report scales among 23 identified empirical studies, and (3) narcissism has both bright and dark sides to entrepreneurial activities and outcomes. While narcissism makes potential entrepreneurs have higher entrepreneurial intentions and greater willingness to take risks, it also prevents entrepreneurs from discovering opportunities, acquiring resources, and learning from failure. Besides, results also showed that relations between narcissism and entrepreneurial intentions and performance are more complex. For a deeper understanding of this complex relations and advancing research on narcissism and entrepreneurship, more research is necessary to explore the relations between narcissism and entrepreneurship-related variables from a temporal perspective and at the team level, examine the relationship between narcissism and entrepreneurship ethics, and investigate the interaction effects of narcissism and other personalities. (shrink)

By following a recently published paper entitled “The effect of publishing a highly cited paper on a journal’s impact factor: a case study of the Review of Particle Physics” in Learned Publishing, we argue that it is not suitable for journals to bid for the right to publish a review that is likely to be highly cited. A few suggestions are also provided to deal with the special case of the Review of Particle Physics phenomenon.

Resource allocation has always been a key technology in wireless sensor networks, but most of the traditional resource allocation algorithms are based on single interface networks. The emergence and development of multi-interface and multichannel networks solve many bottleneck problems of single interface and single channel networks, it also brings new opportunities to the development of wireless sensor networks, but the multi-interface and multichannel technology not only improves the performance of wireless sensor networks but also brings great challenges to the resource (...) allocation of wireless sensor networks. Edge computing changes the traditional centralized cloud computing processing method into a method that reduces computing storage capacity to the edge of the network and faces users and terminals. Realize the advantages of lower latency, higher bandwidth, and fast response. Therefore, this paper proposes a joint optimization algorithm of resource allocation based on edge computing. We establish a wireless sensor allocation model and then propose our algorithm model combined with the advantages of edge computing. Compared with the traditional allocation algorithm, it can further improve the resource utilization, reduce the network energy consumption, increase network capacity, and reduce the complexity of the schemes. (shrink)

This paper deals with stochastically globally exponential stability for stochastic impulsive differential systems with discrete delays and infinite distributed delays. By using vector Lyapunov function and average dwell-time condition, we investigate the unstable impulsive dynamics and stable impulsive dynamics of the suggested system, and some novel stability criteria are obtained for SIDSs with DDs and IDDs. Moreover, our results allow the discrete delay term to be coupled with the nondelay term, and the infinite distributed delay term to be coupled with (...) the nondelay term. Finally, two examples are given to verify the effectiveness of our theories. (shrink)

This study examined the mediating roles of both positive and negative affects in the relationship between sleep quality and self-control. A sample of 1,507 Chinese adults completed self-report questionnaires measuring sleep quality, positive and negative emotions, and self-control. Poor sleep quality was positively correlated with negative affect and negatively correlated with positive affect and self-control. Positive affect was positively correlated with self-control, while negative affect was negatively correlated with self-control. Both positive and negative affects significantly mediated the relationship between sleep (...) quality and self-control. Improving individuals’ sleep qualities may lead to more positive emotions and less negative emotion, and these mood changes may increase resources for self-control. Regulating positive and negative affects may reduce the negative effects of poor sleep quality on self-control. (shrink)

The idea of technocracy has been widely criticized in Western literature in the philosophy and sociology of technology. A common critique of technocracy is that it represents an “antidemocratic” and “dehumanizing” ideology. This paper invites Western scholars to reconsider their oppositions to technocracy by drawing on resources from Confucian ethics. In doing so, this paper synthesizes the major ethical challenges of technocracy mainly concerned by Western scholars in philosophy, political theories, sociology, and policy studies. This paper argues that incorporating Confucian (...) resources such as the rule of virtue into technocracy may be helpful for reexamining these ethical challenges to technocracy that are deeply rooted in Western liberal democratic ideologies. The Confucian rule of virtue means that social policies should be made by the virtuous and capable and these policies need to have impacts on the moral progress of the society. Confucian values provide ethical guidance for technocrats in assessing the moral quality of the sociotechnical systems they build. From the Confucian perspective, sociotechnical systems are often assessed based on the criterion whether and how these sociotechnical systems contribute to a process of harmonization. This paper will introduce some practical cases that demonstrate how technical experts and expertise contribute to organizational and social management. In these cases, virtues and the rule of virtue do play a crucial role: virtues either determine the selection of technocrats and the legitimization of their political power or are embedded in engineering design and affect human behavior in the use context. (shrink)

The pathogen-prevalence hypothesis postulates that collectivism would be strengthened in the long term in tandem with recurrent attacks of infectious diseases. However, it is unclear whether a one-time pathogen epidemic would elevate collectivism. The outbreak of COVID-19 and the widespread prevalence of online social networks have provided researchers an opportunity to explore this issue. This study sampled and analyzed the posts of 126,165 active users on Weibo, a leading Chinese online social network. It used independent-sample t-tests to examine whether COVID-19 (...) had an impact on Chinese collectivistic value-related behaviors by comparing the usage frequency of personal pronouns, group-related words, and relationship-related words before and after the outbreak. Overall, most collectivist words exhibited a significant upward trend after the outbreak. In turn, this tendency pointed to a rising sense of collectivism. Hence, this study confirmed the pathogen-prevalence hypothesis in real settings, finding that an outbreak of an infectious disease such as COVID-19 could exert an impact on collectivism and may deliver a theoretical basis for psychological protection against the threat of COVID-19. However, further evaluation is required to ascertain whether this trend is universal or culture-specific. (shrink)

Previous studies revealed that the susceptibility, contacting preference, and recovery probability markedly alter the epidemic outbreak size and threshold. The recovery probability of an infected node is closely related to its obtained resources. How to allocate limited resources to infected neighbors is extremely important for containing the epidemic spreading on complex networks. In this paper, we proposed an epidemic spreading model on complex networks, in which we assume that the node has heterogeneous susceptibility and contacting preference, and susceptible nodes are (...) willing to share their resources to neighbors. Through a developed heterogeneous mean-field theory and a large number of numerical simulations, we find that the recovered nodes provide resources uniformly to their infected neighbor nodes, and the epidemic spreading can be suppressed optimally on homogeneous and heterogeneous networks. Besides, altering the susceptibility and contacting preference does not qualitatively change the results. The susceptibility of the node decreases, which makes the outbreak threshold of epidemic spreading increase, and the outbreak size decreases. Our theory agrees well with the numerical simulations. (shrink)

Art and philosophy are the two major elements of the human world. The existence of art and philosophy can expand the spiritual world of human beings to a greater extent and enrich their spiritual life, thus supporting the construction of the material world. And music, as an aural art, has also been given a philosophical meaning in the evolution of history because of its birth and development. Therefore, when studying music, one should first study the history of music. The philosophy (...) of music history education is not only profound and contains world culture and philosophy, but also carries history and economy. Music history education is also a vivid art form of philosophy, where teachers create an artistic beauty to attract students and achieve the purpose of imparting knowledge by optimizing their educational philosophy. To develop the philosophy of education to its fullest extent, teachers must adhere to the concepts associated with the philosophy of art. To explain this process in greater depth, this paper provides a brief review of the aesthetic philosophy and historical evolution of Chinese. (shrink)

Digital technological innovation is reshaping the pattern of industrial development. Due to the shortage of digital talents and the frequent mobility of these people, the competition for talents will be very fierce for organizations to realize digital transformation. The digitization transformation of China’s service industry is far ahead of that of industry and agriculture. It is of great significance to study the organizational management and talent management of service enterprises to reduce the negative impact of insufficient talent reserve and meet (...) the needs of digital development. Based on 378 valid questionnaires from China’s service industry, this paper applied polynomial regression and a response surface model to analyze the impact of two kinds of person-environment fit on work engagement and individual creativity. The results show that: under the combination of high morality and high talent, work engagement and individual creativity are the highest; individual creativity is stronger under the condition of high morality and low talent than under low morality and high talent; and work engagement mediates the influence of morality and talent on individual creativity. The research reveals the internal mechanism by which morality and talent cooperatively promote individual creativity, which provides theoretical guidance for management practice of service firms to improve individual creativity in the process of digital transformation. (shrink)

The purpose of the present study was to explore the direct influence of self-concept and self-imagination on English language learning outcomes. Furthermore, this study examined the mediating role of self-efficacy in the relationship between self-concept, self-imagination, and ELLO. A survey questionnaire of 21 items was used in this study. We distributed the questionnaire through QR code and collected the data from 2,517 participants who enrolled in blended learning courses at the undergraduate level in Chinese universities. The relationship among the variables (...) was measured through SmartPLS-SEM 3.3.3. The outcomes of the present study indicated a direct, positive, and significant connection of self-concept, self-imagination, and self-efficacy with ELLO. Looking at indirect influences, self-concept and self-imagination, positive and significant, influence ELLO through self-efficacy. Thus, self-efficacy was indicated to play a mediating role between self-concept, self-imagination and ELLO. We can conclude that self-concept, self-imagination, and self-efficacy are the main predictors of ELLO in blended learning courses during the pandemic. Additionally, self-concept and self-imagination along with the intervening role of self-efficacy, play a more effective role in improving ELLO. Moreover, this study provided some useful, practical implications, and future research directions. (shrink)

The fault prediction and abductive fault diagnosis of three-phase induction motors are of great importance for improving their working safety, reliability, and economy; however, it is difficult to succeed in solving these issues. This paper proposes a fault analysis method of motors based on modified fuzzy reasoning spiking neural P systems with real numbers for fault prediction and abductive fault diagnosis. To achieve this goal, fault fuzzy production rules of three-phase induction motors are first proposed. Then, the rMFRSNPS is presented (...) to model the rules, which provides an intuitive way for modelling the motors. Moreover, to realize the parallel data computing and information reasoning in the fault prediction and diagnosis process, three reasoning algorithms for the rMFRSNPS are proposed: the pulse value reasoning algorithm, the forward fault prediction reasoning algorithm, and the backward abductive fault diagnosis reasoning algorithm. Finally, some case studies are given, in order to verify the feasibility and effectiveness of the proposed method. (shrink)

Any consideration of relationships between technology and ethics is likely at some point to encounter the concept of technocracy, as a proposal to incorporate scientific and engineering expertise into the political process.

Recently, the pandemic caused by COVID-19 is severe in the entire world. The prevention and control of crimes associated with COVID-19 are critical for controlling the pandemic. Therefore, to provide efficient and convenient intelligent legal knowledge services during the pandemic, we develop an intelligent system for legal information retrieval on the WeChat platform in this paper. The data source we used for training our system is “The typical cases of national procuratorial authorities handling crimes against the prevention and control of (...) the new coronary pneumonia pandemic following the law”, which is published online by the Supreme People’s Procuratorate of the People’s Republic of China. We base our system on convolutional neural network and use the semantic matching mechanism to capture inter-sentence relationship information and make a prediction. Moreover, we introduce an auxiliary learning process to help the network better distinguish the relation between two sentences. Finally, the system uses the trained model to identify the information entered by a user and responds to the user with a reference case similar to the query case and gives the reference legal gist applicable to the query case. (shrink)

It is interesting to explore the effects of second language acquisition on anatomical change in brain at different stages for the neural structural adaptations are dynamic. Short-term Chinese training effects on brain anatomical structures in alphabetic language speakers have been already studied. However, little is known about the adaptations of the gray matter induced by acquiring Chinese language for a relatively long learning period in adult alphabetic language speakers. To explore this issue, we recruited 38 Indian overseas students in China (...) as our subjects. The learned group included 17 participants who had learned Mandarin Chinese for an average of 3.24 years and achieved intermediate Chinese language proficiency. The control group included 21 subjects who had no knowledge about Chinese. None of the participants had any experience in learning logographic and tonal language before Chinese learning. We found that the learned group had significantly greater gray matter volume in the left lingual gyrus compared with the control group; the Chinese characters’ reading accuracy was significantly and positively correlated to the GMV in the left LG and fusiform gyrus across the two groups; and in the learned group, the duration of Chinese learning was significantly and positively correlated with the GMV in the left inferior frontal gyrus after correction for multiple comparisons with small volume corrections. Our structural imaging findings are in line with the functional imaging studies reporting increased brain activation induced by Chinese acquisition in alphabetic language speakers. The regional gray matter changes reflected the additional requirements imposed by the more difficult processing of Chinese characters and tones. The present study also show that the biological bases of the adaptations induced by a relatively long period of Chinese learning were limited in the common areas for first and foreign language processing. (shrink)

Background: In 2019, an outbreak of COVID-19 broke out in Hubei, China. Medical workers from all over the country rushed to Hubei and participated in the treatment and care of COVID-19 patients. These nurses, dedicated to their professional practice, volunteered to provide compassion and expert clinical care during the pandemic. As with other acts of heroism, the ethical dilemmas associated with working on the front line must be considered for future practice. Purpose: To explore the ethical dilemmas of frontline nurses (...) of Jiangsu Province in China during deployment to Wuhan to fight the novel coronavirus pneumonia, and to provide a basis for developing strategies to help nursing staff address personal and practice concerns in order to work more effectively during this pandemic and other disasters in the future. Research design and method: Using the phenomenological research method and the purpose sampling method, semi-structured interviews were conducted with 10 nurses, post-deployment to Wuhan, who had worked on the front line to fight the novel coronavirus. Ethical considerations: The research proposal was approved by the Research Ethic Committee of Yangzhou University, China. Findings: From the analysis of the interviews of the 10 participants, three main themes were identified: ethical dilemmas in clinical nursing, ethical dilemmas in interpersonal relationships, and ethical dilemmas in nursing management. Conclusion: During a quick response to public health emergencies, where nurses are deployed immediately as a call to action, the issues surrounding ethical dilemmas from several perspectives must be considered. This research suggests that a team approach to proactive planning and open communication during the emergency is an efficient and productive strategy to improve the nurses’ experience and sense of well-being. (shrink)

The continuous increase of carbon emissions is a serious challenge all over the world, and many countries are striving to solve this problem. Since 2020, a widespread lockdown in the country to prevent the spread of COVID-19 escalated, severely restricting the movement of people and unnecessary economic activities, which unexpectedly reduced carbon emissions. This paper aims to analyze the carbon emissions data of 30 provinces in the 2020 and provide references for reducing emissions with epidemic lockdown measures. Based on the (...) method of time series visualization, we transform the time series data into complex networks to find out the hidden information in these data. We found that the lockdown would bring about a short-term decrease in carbon emissions, and most provinces have a short time point of impact, which is closely related to the level of economic development and industrial structure. The current results provide some insights into the evolution of carbon emissions under COVID-19 blockade measures and valuable insights into energy conservation and response to the energy crisis in the post-epidemic era. (shrink)

Media is the principal source of public information, and people's trust in news has been a critical mechanism in social cohesion. In recent years, the vast growth of new media has brought huge change to the way information is conveyed, cannibalizing much of the space of traditional media. This has led to renewed attention on media credibility. The study aims to explore the impact of media channel on trust in news and examine the role of news type. Twenty-six participants were (...) asked to make trust–distrust decisions after reading a variety of news headlines from different media channels while undergoing electroencephalography monitoring. The electrophysiological results showed that, for hard news, the new media condition elicited smaller N100 and larger P200 amplitudes than the traditional media condition. However, for soft news, there was no significant difference. The study suggests that the fitness of media channel and news type may influence the evaluation of news, impacting participants' affective arousal and attention allocation in the early stage and influencing trust in news. These results provide neurocognitive evidence of individuals' trust toward hard and soft news consumed via different media channels, yielding new insights into trust in media and contributing to media trust theory. (shrink)

This paper first extracted 11 indicators from four aspects of infrastructure, educational equity, teaching quality, and scientific research level and established a multidimensional higher education evaluation system. After that, according to TOPSIS and the entropy method, a comprehensive score of the development of higher education was obtained, and a comprehensive index of higher education was proposed. According to the level of the score, we divide the development status into 5 categories, and use discrete Hopfield neural network for verification. In addition, (...) we applied the model to many countries and chose Vietnam to conduct an in-depth analysis of the model, including reforming policies and evaluating policy effects based on cobweb model. Finally, we found that the application of the model is very universal, but in reality the reform is very difficult. (shrink)

Severe tour guide stigma is a significant problem hindering tourism development. Based on self-identity threat and moral disengagement theory, this study analyzed the relationship between tour guide stigmatization and tour guides’ interpersonal deviance behavior. Survey data collected from 241 tour guides at three different points in time showed that tour guide stigmatization was positively related to tour guides’ interpersonal deviance behavior and that self-identity threat mediated this effect. The results also show that moral disengagement moderated the effect of tour guides’ (...) self-identity threat on interpersonal deviance behavior, as well as the indirect effect of tour guide stigmatization on tour guides’ interpersonal deviance behavior via self-identity threat. This study enriches theoretical research on tour guide stigmatization and offers practical suggestions for solving stigmatization problems for tour guides and organizations. (shrink)

Customer citizenship behavior in the online shopping environment is vital to the success of e-retailers. However, it is unclear whether and how service recovery expectation and recovery justice predict customer citizenship behavior in e-retailing settings. Grounded on the expectation confirmation theory and social exchange theory, this study examined the influence of service recovery expectation and recovery justice on customer citizenship behavior with a serial mediation of recovery expectation confirmation and post-recovery satisfaction. A total of 774 samples from e-shoppers with most (...) impressive and most recent service recovery experience were collected to test the hypotheses using structural equation modeling and bootstrapping procedures. This study reveals that service recovery expectation has a negative impact on recovery expectation confirmation, while recovery justice positively affects recovery expectation confirmation, which is further positively correlated with post-recovery satisfaction and customer citizenship behavior. Moreover, recovery expectation confirmation and post-recovery satisfaction play a serial mediation in the relationship between service recovery expectation and recovery justice, and customer citizenship behavior. Our study contributes to the growing body of customer citizenship behavior literature by offering an alternative perspective to understand what encourage or impede customer citizenship behavior, and expands service recovery literature by combining service recovery expectation and recovery justice into a framework and revealing the expectation–confirmation mechanism through which they influence post-recovery satisfaction in online shopping setting. (shrink)

ABSTRACTNumerous studies have found that shame increases individuals’ anger at others. However, according to recent theories about the social function of shame and anger at others, it is possible that shame controls individuals’ anger at others in specific conditions. We replicated previous findings that shame increased individuals’ anger at others’ unfairness, when others were not aware of the individual’s experience of shameful events. We also found for the first time that shame controlled or even decreased individuals’ anger at others’ unfairness, (...) when others were aware of the individual’s experience of shameful events. The results were consistent when shame was induced by either a recall paradigm or an imagination paradigm, and in either the ultimatum game or the dictator game. This suggests that shame strategically controls individuals’ anger at others to demonstrate that they are willing to benefit others, when facing the risk of social exclusion. Our findings highlight the interpersonal function of... (shrink)

The early warning of financial risk is to identify and analyze existing financial risk factors, determine the possibility and severity of occurring risks, and provide scientific basis for risk prevention and management. The fragility of financial system and the destructiveness of financial crisis make it extremely important to build a good financial risk early-warning mechanism. The main idea of the K-means clustering algorithm is to gradually optimize clustering results and constantly redistribute target dataset to each clustering center to obtain optimal (...) solution; its biggest advantage lies in its simplicity, speed, and objectivity, being widely used in many research fields such as data processing, image recognition, market analysis, and risk evaluation. On the basis of summarizing and analyzing previous research works, this paper expounded the current research status and significance of financial risk early-warning, elaborated the development background, current status and future challenges of the K-means clustering algorithm, introduced the related works of similarity measure and item clustering, proposed a financial risk indicator system based on the K-means clustering algorithm, performed indicator selection and data processing, constructed a financial risk early-warning model based on the K-means clustering algorithm, conducted the classification of financial risk types and optimization of financial risk control, and finally carried out an empirical experiments and its result analysis. The study results show that the K-means clustering method can effectively avoid the subjective negative impact caused by artificial division thresholds, continuously optimize the prediction process of financial risk and redistribute target dataset to each cluster center for obtaining optimized solution, so the algorithm can more accurately and objectively distinguish the state interval of different financial risks, determine risk occurrence possibility and its severity, and provide a scientific basis for risk prevention and management. The study results of this paper provide a reference for further researches on financial risk early-warning based on K-means clustering algorithm. (shrink)

Challenge-oriented organizational citizenship behavior or the organization-improving tasks employees perform beyond their job description is important for high organizational performance, but the organizational factors influencing it are poorly understood. In this study, we explored how inclusive leadership influences employees’ challenge-oriented organizational citizenship behavior in the Chinese context, drawing on data from 558 employees in high-tech industries. Multivariate correlation analysis showed that inclusive leadership promotes employees’ challenge-oriented organizational citizenship behavior and that this influence is partly mediated by work engagement. Further, it (...) showed that organizational innovative atmosphere has a moderating effect on the relationship between inclusive leadership and employees’ challenge-oriented organizational citizenship behavior. In effect, this study expands the range of predictive variables for challenge-oriented organizational citizenship behavior and provides not only theoretical insight but also practical guidance for leaders who seek to motivate this behavior in their employees. (shrink)

In recent years, somatosensory interaction technology, represented by Microsoft’s Kinect hardware platform, has been widely used in various fields, such as entertainment, education, and medicine. Kinect technology can easily capture and record behavioral data, which provides new opportunities for behavioral and psychological correlation analysis research. In this paper, an automatic decision-style recognition method is proposed. Experiments involving 240 subjects were conducted to obtain face data and individual decision-making style score. The face data was obtained using the Kinect camera, and the (...) decision-style score were obtained via a questionnaire. To realize automatic recognition of an individual decision-making style, machine learning was employed to establish the mapping relationship between the face data and a scaled evaluation of the decision-making style score. This study adopts a variety of classical machine learning algorithms, including Linear regression, Support vector machine regression, Ridge regression, and Bayesian ridge regression. The experimental results show that the linear regression model returns the best results. The correlation coefficient between the linear regression model evaluation results and the scale evaluation results was 0.6, which represents a medium and higher correlation. The results verify the feasibility of automatic decision-making style recognition method based on facial analysis. (shrink)

This paper describes a scoping review of China’s academic resource databases, relevant official websites, news reports and public accounts spanning a period from the end of 2019 to the end of 2022, to investigate the challenges in scientific integrity and ethical soundness of research conducted during and immediately after the COVID-19 pandemic in China. By conducting the scoping review with keywords related to the research questions in Chinese, relevant data were extracted and classified into four categories: challenges in research, challenges (...) in ethics review, challenges in publishing academic work, and research ethics guidelines during and after the pandemic. The paper points out that problematic studies and findings increased with the escalation in medical research projects during the pandemic in China. The situation faced by researchers was more difficult than before the pandemic. The mode of informed consent, and ethics review and oversight systems also underwent changes. In addition, Traditional Chinese Medicine as an alternative medical treatment for COVID-19, attracted attention from the research community and became a topic of discussion. We conclude that the various challenges and concerns identified indicate a need for a proper and timely response system be formulated in preparation for possible future occurrences of new pandemics or other critical situations. (shrink)

ObjectiveThis study explores the relationship between physical exercise and school adaptation of junior middle school students and constructs a chain intermediary model through the intermediary role of psychological resilience and sports learning motivation.MethodsUsing the stratified cluster sampling method, 930 junior middle school students in Anhui Province were measured in group psychology by using the physical exercise rating scale, adolescent psychological resilience scale, physical learning motivation scale and school adaptation scale. The statistical software SPSS 23.0 and process plug-in were used for (...) statistical processing, and the common method deviation test was carried out by Harman single-factor control method. Finally, the bootstrap sampling test method and process plug-in were used to test the significance of intermediary effect.Results The direct prediction effect of physical exercise on school adaptation is remarkable ; psychological resilience and sports learning motivation are the intermediary variables of the relationship between physical exercise and school adaptation; psychological resilience and sports learning motivation play a chain mediation role in the relationship between physical exercise and school adaptation. The intermediary effect is composed of three indirect effects: physical exercise → psychological resilience → school adaptation, physical exercise → physical learning motivation → school adaptation, physical exercise → psychological resilience → physical learning motivation → school adaptation.ConclusionsPhysical exercise can directly improve the school adaptation of junior middle school students, which can also affect junior middle school students’ school adaptation indirectly through psychological resilience or sports learning motivation, and it can influence school adaptation through the chain mediation of psychological resilience and sports learning motivation. (shrink)

In the present study, we tested the effectiveness of color coding on the programming learning of students who were learning from video lectures. Effectiveness was measured using multimodal physiological measures, combining eye tracking and electroencephalography. Using a between-subjects design, 42 university students were randomly assigned to two video lecture conditions. The participants’ eye tracking and EEG signals were recorded while watching the assigned video, and their learning performance was subsequently assessed. The results showed that the color-coded design was more beneficial (...) than the grayscale design, as indicated by smaller pupil diameter, shorter fixation duration, higher EEG theta and alpha band power, lower EEG cognitive load, and better learning performance. The present findings have practical implications for designing slide-based programming learning video lectures; slides should highlight the format of the program code using color coding. (shrink)

BackgroundThe evaluation of the surgical readiness of patients plays an important role in clinical care. Preoperative readiness assessment is needed to identify the inadequacy among surgical patients, which provides guide for interventions to improve patients’ preoperative readiness. However, there is a paucity of high-level, quality tool that evaluate surgical readiness of patients in China. The purpose of this study is to translate the Preoperative Assessment of Readiness Tool into Chinese and determine the reliability and validity of the Chinese version in (...) the population of surgical patients.MethodsUsing a standard translation-backward method, the original English version of PART was translated into Chinese. A convenient sampling of 210 surgical patients was recruited from 6 hospitals in Zhejiang Province to test the psychometric properties of this scale including internal consistency, split-half reliability, content validity, structure validity, and floor/ceiling effect.ResultsA total of 194 patients completed questionnaires. The Chinese version of PART achieved Cronbach’s alphas 0.948 and McDonald’s omega coefficient 0.947, respectively, for the full scale. The estimated odd-even split-half reliability was 0.959. The scale-level content validity index was 0.867, and the items content validity index ranged from 0.83 to 1.0.The output of confirmatory factor analysis revealed a two-factor model with no floor/ceiling effect.ConclusionThe Chinese version of PART demonstrated acceptable reliability and validity among surgical patients. It can be used to evaluate patients’ preoperative preparation and help health professionals provide proper preoperative support. (shrink)