Many scholars have investigated education management. Scholars in the education field have made significant achievements in contributing to multiple educational reform policies, while other scholars discuss teacher-related issues from the perspective of organizational behavior. The teaching innovation of high school teachers plays a critical role in students’ learning attitude and motivation, especially in the context of the COVID-19 pandemic. Teachers need to utilize more diversified teaching methods to enable students to carry out effective learning. In order to examine teachers’ teaching (...) innovation, this study explores teaching innovation intentions and performance from the perspective of individual and social factors in combination with goal-oriented behavior and social identity theory. This study conducts questionnaires with a sample of Chinese coastal high school teachers, and obtains a total of 475 responses. The research results show that innovation attitude, positive anticipated emotion, group norms and social identity positively affect teachers’ teaching innovation intention; furthermore, teachers’ teaching innovation intention also positively affects their teaching innovation performance. Based on the comprehensive research findings, this research proposes corresponding theoretical and practical implications. (shrink)

This study explored the correlation between mental toughness and physical activity, and the moderation role between PA intention and subsequent behavior among college students and wage earners. Five hundred ninety-one college students aged from 19 to 24 and 285 wage earners aged from 27 to 58 recruited from seven colleges and five cities in China. A Theory of Planned Behavior questionnaire, MT Inventory, and the International PA Questionnaire was completed online. Results showed that attitudes, subjective norms, and perceived behavioral control (...) explained 46.5 and 38.3% variance in PA intention among college students and wage earners separately. Intention predicted PA behavior significantly among college students and wage earners. Structural equation modeling indicated that the TPB model and the moderation model have an adequate to good fit except the TPB model among wage earners. MT was positively correlated with PA among college students and wage earners and had a significant moderation role in intention-behavior gap among college students and partially affected the transfer of PA intention to behavior among college students. Individuals with high MT had high levels of PA regardless of intention, while PA of those with low MT was low and unstable. Future research should further explore the correlation between intention and PA and the moderation role of MT in different populations using a longitudinal study in order to better understand the correlation between intention and PA, and the transition from intention to PA and better guidance PA intervention to promote PA. (shrink)

Due to the non-invasiveness and high precision of electroencephalography, the combination of EEG and artificial intelligence is often used for emotion recognition. However, the internal differences in EEG data have become an obstacle to classification accuracy. To solve this problem, considering labeled data from similar nature but different domains, domain adaptation usually provides an attractive option. Most of the existing researches aggregate the EEG data from different subjects and sessions as a source domain, which ignores the assumption that the source (...) has a certain marginal distribution. Moreover, existing methods often only align the representation distributions extracted from a single structure, and may only contain partial information. Therefore, we propose the multi-source and multi-representation adaptation for cross-domain EEG emotion recognition, which divides the EEG data from different subjects and sessions into multiple domains and aligns the distribution of multiple representations extracted from a hybrid structure. Two datasets, i.e., SEED and SEED IV, are used to validate the proposed method in cross-session and cross-subject transfer scenarios, experimental results demonstrate the superior performance of our model to state-of-the-art models in most settings. (shrink)

This investigation develops in three steps. First, we seek to complexify the opioid crisis in a way that helps us to see how the issues of misguided desire and misplaced attachments are fundamentally important for a theological account of opioid addiction.1 Second, acknowledging the connections between pain and opioid addiction, we explore some of the ways in which our understanding of pain can influence our understanding of and responses to opioid use. Finally, we offer some tentative reflections on the theological (...) and ecclesial dimensions of the opioid crisis which hold the potential to influence the nature of a Christian response to the issues. Having laid out these steps, we argue for the church’s calling, where she complexifies the narratives about the opioid crisis and provides individuals suffering from opioid use “homeful” encounters with God and the community. (shrink)

Android robots capable of emotional interactions with humans have considerable potential for application to research. While several studies developed androids that can exhibit human-like emotional facial expressions, few have empirically validated androids’ facial expressions. To investigate this issue, we developed an android head called Nikola based on human psychology and conducted three studies to test the validity of its facial expressions. In Study 1, Nikola produced single facial actions, which were evaluated in accordance with the Facial Action Coding System. The (...) results showed that 17 action units were appropriately produced. In Study 2, Nikola produced the prototypical facial expressions for six basic emotions, and naïve participants labeled photographs of the expressions. The recognition accuracy of all emotions was higher than chance level. In Study 3, Nikola produced dynamic facial expressions for six basic emotions at four different speeds, and naïve participants evaluated the naturalness of the speed of each expression. The effect of speed differed across emotions, as in previous studies of human expressions. These data validate the spatial and temporal patterns of Nikola’s emotional facial expressions, and suggest that it may be useful for future psychological studies and real-life applications. (shrink)

Constructive deviance describes acts that benefit the organization by deviating from outdated organizational norms. Despite emerging interest in this behavior, questions remain about why and how constructive deviance occurs. This paper integrates social learning and uncertainty reduction theories, and develops a multilevel model linking team-level ethical leadership to employee constructive deviance. Surveying 313 subordinates and 52 supervisors from 15 different companies in eastern China, we find that team-level ethical leadership has a positive impact on employee constructive deviance, and that both (...) psychological safety climate and employee moral self-efficacy partially mediate this relationship. In addition, we find a positive cross-level moderating effect of psychological safety climate. These findings contribute to understanding employees’ constructive deviance in the workplace, and provide valuable implications for managerial practices. (shrink)

Background An increasing number of studies on physicians’ professionalism have been done since the 2002 publication of Medical Professionalism in the New Millennium: A Physician Charter. The Charter proposed three fundamental principles and ten responsibilities. However, most studies were done in developed countries, and few have been done in China. Additionally, few studies have examined the effect of patient-centered hospital culture (PCHC) on physicians’ professionalism. We aimed to investigate physicians’ medical professionalism in public hospitals in China, and to assess mediating (...) effect of professional attitudes in the relationship of PCHC with professional behaviours. Methods Self-administered questionnaires including professional attitudes (20 items) and behaviours (10 items) survey and PCHC scale (22 items) were given to clinical physicians in five public hospitals, China. The mediating effect of professional attitudes in the relationship of PCHC with professional behaviours was tested. Result 232 valid questionnaires were collected. More than 90% (208) respondents agreed with 15 of 20 specific statements on medical professionalism. As for the responsibility of improving quality of care, 54 (23%) respondents disagreed with reporting of incompetent colleagues and as for the responsibility of maintaining professional competence, 49 (21%) disagreed with recertification. More than 185 (83%) respondents reported that they sometimes, usually, or always showed the four positive behaviours on the questionnaire, and 173 (77%) reported that they never showed the six negative behaviours. Mediating effect analysis revealed that two dimensions of PCHC (i.e. value/institution culture and behaviour/material culture) had a significant positive impact on physicians’ professional behaviour, and professional attitude played a complete mediation role between them, but another dimension of PCHC (i.e. negative evaluation of hospital) directly affected professional behaviour without influencing professional attitude. Conclusion Chinese physicians showed positive professional attitudes and behaviours. Different dimensions of PCHC affected physicians’ attitudes and behaviours in different ways. (shrink)

The purpose of this study is to investigate the current state of post-traumatic growth and identify its influencing factors in discharged COVID-19 patients. PTG refers to individual experiences of significant positive change arising from the struggle with a major life crisis. This descriptive cross-sectional study used the convenient sampling method to recruit 140 discharged COVID-19 patients in Hunan, China. The results show that the PTG of the discharged COVID-19 patients was positively correlated with self-esteem, post-traumatic stress disorder, coping style tendency, (...) and social support, but negatively correlated with the time from onset to diagnosis. Our findings could provide guidance on improving the psychological state and well-being of discharged COVID-19 patients. (shrink)

Objectives: Athlete burnout is a crucial concern affecting the development and athletic performance of young weightlifters. To reduce or relieve the prevalence of athlete burnout, this study examined the relationship across social support, sports motivation, mental toughness, and athlete burnout in weightlifters.Methods: A total of 315 weightlifters aged 17–28 years old from Sichuan, Chongqing, and Shanxi in China participated in this survey. The Perceived Available Support in Sport Questionnaire, Sports Motivation Questionnaire, Sports Mental Toughness Questionnaire, and Athlete Burnout Questionnaire were (...) used in this study. SPSS Statistics 19.0, AMOS 21.0, and PROCESS 3.0 macro were used to analyze the collected data.Results: The results indicated that weightlifters’ social support could negatively significantly affect athlete burnout [beta = −0.398; 95% confidence interval : −0.3699, −0.2184; P < 0.05) via mental toughness and sports motivation. The mediation analysis revealed that they had partial mediating effect, including three paths: First, social support had a direct effect on athlete burnout ; second, sport mental toughness had a mediating effect on athlete burnout ; and finally, sports motivation had a mediating effect on athlete burnout.Conclusion: The findings revealed that social support could inhibit or prevent athlete burnout via mental toughness and sports motivation; thus, to decrease or relieve the prevalence of burnout in weightlifters, it is an important solution to enhance their social support. (shrink)

Our research aimed to investigate the effectiveness of auditory, visual, and audiovisual warning signals for capturing the attention of the pilot, and how stimulus onset asynchronies in audiovisual stimuli affect pilots perceiving the bimodal warning signals under different perceptual load conditions. In experiment 1 of the low perceptual load condition, participants discriminated the location of visual targets preceded by five different types of warning signals. In experiment 2 of high perceptual load, participants completed the location task identical to a low (...) load condition and a digit detection task in a rapid serial visual presentation stream. The main effect of warning signals in two experiments showed that visual and auditory cues presented simultaneously could effectively and efficiently arouse the attention of the pilots in high and low load conditions. Specifically, auditory, AV, and visual preceding auditory stimulus by 100 ms increased the spatial orientation to a valid position in low load conditions. With the increase in visual perceptual load, auditory preceding the visual stimulus by 100 ms and A warning signals had stronger spatial orientation. The results are expected to theoretically support the optimization design of the cockpit display interface, contributing to immediate flight crew awareness. (shrink)

This study evaluated the biological dimension of meditation and self-transcendent states. A convenience sample of 513 participants was drawn from attendees at a 4-day guided meditation workshop. Half were randomly assigned to an active placebo control intervention. All were assessed on a variety of measures, both psychological [anxiety, pain, posttraumatic stress disorder, positive emotions, and transcendent states], and physiological. Additional biological assessments including salivary immunoglobulin-A, cortisol, and Quantitative Electroencephalography were obtained from subset of the Experimental group. No significant difference in (...) psychological symptoms or positive emotions was observed between Experimental and placebo groups at baseline. At post-test, significant improvements were noted in the Experimental group, including a 49.5% median increase in SIgA, though cortisol remained unchanged. qEEG z-score analysis identified sustained stress reduction, including delta frequency band amplitude increases, high beta decreases, and faster acquisition of sustained alpha states. Psychological symptoms also improved on all measures. At 6-month follow-up, PTSD and somatic symptoms significantly improved from baseline, and post-test versus 6-month follow-up results indicated significant increases in happiness and spiritual and physical oneness, along with decreases in depressive symptoms. These findings suggest that autonomic self-regulation and transcendent states may be measured in both biological and psychological dimensions and are associated with pervasive health benefits. (shrink)

Activating relevant responses is a key function of automatic processes in De Neys's model; however, what determines the order or magnitude of such activation is ambiguous. Focusing on recently developed sequential sampling models of choice, we argue that proactive control shapes response generation but does not cleanly fit into De Neys's automatic-deliberative distinction, highlighting the need for further model development.

Repetition learning is an efficient way to enhance memory performance in our daily lives and educational practice. However, it is unclear to what extent repetition or multiple exposures modulate different types of memory over time. The inconsistent findings on it may be associated with encoding strategy. In this study, participants were presented with pairs of pictures once or three times and were asked to make a same/similar/different judgment. By this, an elaborative encoding is more required for the “same” and “similar” (...) conditions than the “different” condition. Then after intervals of 10 min, 1 day, and 1 week, they were asked to perform a recognition test to discriminate a repeated and a similar picture, followed by a remember/know/guess assessment and a contextual judgment. The results showed that after learning the objects three times, both item memory and contextual memory improved. Multiple exposures enhanced the hit rate for the “same” and “similar” conditions, but did not change the false alarm rate significantly. The recollection, rather than the familiarity, contributed to the repetition effect. In addition, the memory enhancement was manifested in each encoding condition and retention interval, especially for the “same” condition and at 10-min and 1-day intervals. These results clarify how repetition influences item and contextual memories during discriminative learning and suggest that multiple exposures render the details more vividly remembered and retained over time when elaborative encoding is emphasized. (shrink)

The purpose of the paper is to use analytical method and optimization tool to suggest a vaccination program intensity for a basic SIR epidemic model with limited resources for vaccination. We show that there are two different scenarios for optimal vaccination strategies, and obtain analytical solutions for the optimal control problem that minimizes the total cost of disease under the assumption of daily vaccine supply being limited. These solutions and their corresponding optimal control policies are derived explicitly in terms of (...) initial conditions, model parameters and resources for vaccination. With sufficient resources, the optimal control strategy is the normal Bang–Bang control. However, with limited resources, the optimal control strategy requires to switch to time-variant vaccination. (shrink)

The high-tech industry is the main force promoting the development of China’s national economy. As its industrial economic strength grows, China’s high-tech industry is increasingly using cross-border mergers and acquisitions as an important way to “go out.” To explore the rules governing the process and operation mechanism of reverse knowledge transfer through the CBM&A of China’s high-tech industry under government intervention, a tripartite evolutionary game model of the government, the parent company, and the subsidiary as the main subjects is constructed (...) in this paper. The strategies adopted by the three subjects in the RKT game process are analysed, and the factors influencing RKT through CBM&A under government intervention are simulated and analysed using Python 3.7 software. The results show that, under government intervention, the parent company and subsidiary have different degrees of influence on each other. Subsidiaries are highly sensitive to the compensation rate of RKT. Positive intervention by the government tends to foster stable cooperation between the parent company and the subsidiary. However, over time, the government gradually relaxes its intervention in the RKT and innovation of multinational companies. (shrink)

This paper presents an adaptive fuzzy sliding-mode controller for multiple Euler–Lagrange systems communicated with directed topology. Based on the graph theory and Lyapunov–Krasovskii functions, a delay-dependent sufficient condition for the existence of sliding surfaces is given in terms of linear matrix inequalities. The asymptotic stability is analyzed by using the Lyapunov method in the presence of unknown parametric dynamics, actuator faults, and time-varying delays. The usage of adaptive techniques is to adapt the unknown parameters so that the objective of globally (...) asymptotic stability is achieved. Finally, simulation results are provided to illustrate the effectiveness of the proposed control scheme. (shrink)

Software development is an iterative process from designing to implementation, and to testing, in which product development staff should be closely integrated with users. Satisfying user needs effectively is often the pain point for developers. In order to alleviate this, this paper manages to establish the quantitative connection between users' online reviews and APP downloads. By analyzing user online comments, companies can dig out user needs and preferences. This could benefit them by making accurate market positioning of their APP products, (...) and therefore iteratively innovating products based on user needs, which hopefully will increase the volume of APP downloads. This paper regards WeChat APP during 47 updates periods as the research object. Based on Grounded Theory, user needs are extracted after data cleaning. Next, by using semantic analysis and word frequency analysis, we are able to obtain the implicit feedbacks such as emotion tendency, satisfaction and requirements lie under online reviews. Then, we construct a quantile regression model to study the impact of users' online reviews on downloads based on the influencing factors we extracted so as to provide a decision basis for enterprises to iteratively update their products. Results show that: Generally speaking, needs of WeChat users mainly focus on performance, reliability, usability, functional deficiency, functional insufficiency, and system adaptability; For those APP versions with relatively fewer downloads, user needs are mostly about functional deficiency, followed by functional insufficiency, performance, usability, and system adaptability. At this stage, it is found out that users' emotion tendency and user satisfaction significantly affect the volume of downloads; When the volume of APP downloads is moderate, the user needs are functional deficiency, functional insufficiency, and system adaptability. While under this circumstances, users' star ratings have a significant impact on downloads; In addition, when the volume of App downloads is high, user needs are performance, usability, and system adaptability. Our methods effectively extract users' requirements from online reviews and then successfully build up the quantitative connection between the implicit feedbacks from those requirements and APP downloads. (shrink)

Interaction has been regarded as a key design component in online and distance learning. In this study, we convened a student-led, blended mode massive open online course study group to facilitate interactions for learning. Multiple data, including voice recordings, one-on-one interviews, video recordings, and artifacts were collected and analyzed to detect patterns of interaction in both face-to-face and online/Facebook settings, as well as student perceptions of the blended MOOC study group. Findings indicated that, overall, the blended mode MOOC study group (...) was helpful for promoting communication, providing help, resolving problems, and exchanging ideas and information among group members. Moreover, face-to-face meetings and online discussions both might have exerted their unique strengths and functions in different learning situations for different learners. We recommend future studies continue to explore the tenability of the blended mode MOOC study group in different contexts, subject areas, and age groups, as well as examining group dynamics and interactions that transform MOOC learning into interactive, motivating, and fulfilling journeys among study group members. (shrink)

Previous research suggests that social anxiety symptoms are maintained and intensified by inflexible emotion regulation (ER). Therefore, we examined whether trait-level social anxiety moderates ER flexibility operationalised at both between-person (covariation between variability in emotional intensity and variability in strategy use across occasions) and within-person (associations between emotional intensity and strategy use on a given day) levels. In a sample of healthy college-aged adults (N = 185, Mage = 21.89), we examined overall and emotion-specific intensities (shame, guilt, anxiety, anger, sadness) (...) and regulatory strategies (i.e. experiential avoidance, expressive suppression, and rumination) in response to each day’s most emotionally intense event over 6 days. During the study period, we found a positive association between variability in emotional intensity and variability of experiential avoidance in individuals with lower, rather than higher, levels of trait social anxiety after controlling for key covariates (i.e. gender, personality traits, and stress exposure). However, we did not find evidence for the moderating role of trait social anxiety in ER flexibility assessed at within-person levels. Our findings highlight the need to delineate dynamic ER flexibility across everyday events. (shrink)

Globalization has the potential to create a network society where “there is a common cultural code of values that forms the glue of the network”. This article explores if common cultural codes of values are emerging in the public relations industry by examining the codes of ethics of 41 professional public relations associations across the world. The method for the analysis was Centering Resonance Analysis, a textual analysis methodology, that uses linguistics theory to assess main concepts, their influence, and their (...) interrelationships. The research team found that six dominant themes emerged from the codes of ethics of professional communication associations: professionalism, advocacy, moral standards, clients’ interests, expertise, and relationships. The findings suggest that global values that will influence organizational relationships with publics are emerging in professional communication practice. (shrink)

This study investigates the sampled-data admissibility problem for a singular system. The objective of this paper is to design a sampled-data controller to ensure the admissibility of a singular system and to construct an appropriate Lyapunov–Krasovskii functional to get less conservative results for the sampled-data singular system. To accomplish these objectives, the system is converted into a time-delay system by the input delay approach firstly, and both lower and upper bounds of the delay are considered. Secondly, by introducing a suitable (...) LKF, the admissibility criteria are obtained. Then, when estimating the derivative of the LKF, a relaxation variable is introduced by the method of reciprocally convex inequality, and it is proved that the conservatism is reduced. Finally, two numerical examples are given to prove that the designed sampled-data controller can ensure the states of the systems under the influence of external interference. (shrink)

This study investigates whether firms with fraudulent financial reporting time their earnings announcements strategically and finds that fraudulent firms are more likely to disclose their earnings in the after-market hours during their fraud periods to postpone fraud detection. Cross-sectional tests show that firms with lower visibility are more likely to adopt and benefit from this timing strategy. In addition, fraudulent firms are found to time their conference calls strategically and package their earning news with forecasts to flood the market with (...) information and lower the fraud detection rate. Results also show that unethical managers may benefit from insider trading when their firms use a timing strategy to lower the detection rate. This study sheds light on a potential strategy that unethical managers may adopt to camouflage their fraudulent financial reporting. These results are robust to a variety of settings of samples and model specifications. (shrink)

We experimentally investigate whether donation motive attribution influences individual investors' judgments of the donating firm's future earnings prospects and whether individual moral orientation, that is, perceived importance of social goodwill (PISG), moderates this effect. We find that investors forecast higher future earnings per share (EPS) when the donation motive is believed to be altruistic or win–win rather than egoistic; the EPS forecasts for altruistic and win–win motives are not different. However, this motive attribution effect holds only for higher-PISG investors. A (...) further examination finds that when the donation motive is believed to be egoistic and/or when investors have lower PISG, doing good is no better than doing nothing, but no backfire effect occurs. Our findings indicate that the positive effect of corporate donation on investors' judgments is generated only when higher-PISG investors believe that the donation motive is not purely egoistic; corporate donation will not generate negative effects on investors' judgments even under less favorable conditions. (shrink)

Existing studies mainly explored the detrimental effect of employee credit claiming, and little is known about how leader credit claiming can affect employees. Based on affective events theory and relative deprivation theory, we explore how leader credit claiming affects employee work outcomes by the research methods of literature review, interview, and empirical questionnaire. With a sample of 418 matched leader–employee pairs from a large manufacturing company, we find that leader credit claiming influences employee work outcomes through the mediating role of (...) employee anger and perceived unfairness. Additionally, we determine that leader credit-claiming attribution has a moderating influence on the relationship between credit claiming and anger and between credit claiming and perceived unfairness. The results support all hypotheses. Furthermore, we discuss the theoretical and practical implications of the findings. (shrink)

Entrepreneurship competitions are an important way to implement entrepreneurship education in universities and the main way for many students improve their entrepreneurial competence. To clarify the mechanism of the role of entrepreneurship competition on the entrepreneurial competence of university students, based on data from a sample of 170,764 university students from 31 provinces in China, this study constructs a moderated mediation model that focuses on the mediating role of entrepreneurial spirit in entrepreneurial competition and entrepreneurial competence and the moderating role (...) of entrepreneurial practice. The results showed that ECompetition found to have a significant positive predictive effect on ECompetence. ES plays a mediating role in the relationship between ECompetition and competence. The direct predictive effect of ECompetition on ECompetence and the mediating effect of ES on their relationship is moderated by EP. The results provide a new perspective on the impact of entrepreneurship competition on college students’ entrepreneurial competence and expands the experiential learning theory in entrepreneurship education. (shrink)

With the development of network technology, enterprises face the explosive growth of data every day. Therefore, to fully mine the value of massive data, big data analysis technology has become the key to developing the core competitiveness of enterprises. However, few empirical studies have investigated the influencing mechanism of the BDA capability of an enterprise on its operational performance. To fill this gap, this study explores how BDA technology capability influences enterprise operation performance, based on dynamic capabilities theory and resource-based (...) theory. It proposes the key variables, including the connectivity, compatibility, and modularization of big data analysis technical capability, enterprise's operational performance, and the fit between data and tools, to establish a model and study the correlation between the variables. The results highlight the mediating role of data-tool fit in the relationships between BDA capability and the enterprise's operational performance, which is a major finding that has not been underlined in the extant literature. This study provides valuable insight for operational managers to help them in mobilizing BDA capability for enterprises' operational management and improving operational performance. (shrink)

In this study, the focus was on the development of green energy and future prediction for the consumption of current energy sources and green energy development using an improved deep learning algorithm. In addition to the analysis of the current energy consumption used for the natural gas and oil as fuel, deep neural network algorithm is used to train the system as well as to process the data obtained previously, ranging from literature from the year 2003 until the year 2019, (...) for consumption of fuel. Also, using the proposed algorithm to predict the development of green energy consumption till 2030 is presented in terms of solar and wind generators. The resulting study also focuses on depletion of energy currently used or pollution caused because of it. The green energy controlling issue can take effect by using multiple layers of handling different features extracted from different sources and then learning the system to control it.This study aims to take advantage of carbon emissions to reduce their impact and dependence in the future on environmentally friendly renewable energies. Predicting the correct and precise amount of energy consumption and increasing the amount of environmentally friendly energy lead to a healthy ecosystem. The expected green energy consumption in the future is almost 78.25 EJ in 2030 and will be, in total energy average, 56% in 2045. The aim is to reduce dependency on costly and environmentally harmful fuels. (shrink)