H. C. B. Liu

Although prior studies have extensively investigated the effect of working conditions upon professional satisfaction, the cross-national variance in the effect remains largely understudied due to technical or financial restrictions. The Teaching and Learning International Survey provides an opportunity to investigate the cross-country differences in the impact of working conditions upon principals’ professional satisfaction. The current study attempts to investigate the overall and specific effects of principals’ workplace environment satisfaction, rewards satisfaction, and workload stress on their professional satisfaction in 47 countries included in the TALIS 2018. The results indicate that workplace environment, rather than the typically regarded effort-reward issues, is the most powerful contributor to individual principals’ professional satisfaction across 47 countries, while, in countries with low overall professional satisfaction, rewards satisfaction and workload stress are more powerful predictors for principals’ professional satisfaction on the country level. This study may inform policymakers in school principal stimulation and retention that effective practice to stimulate and/or retain school principals may vary across countries and research findings derived from data on the individual level may not be applicable to practice on the country level.

Based on 2010 to 2019 Chinese outward foreign direct investment panel data from 39 host countries, this paper studies the relationships between host country cultural characteristics and Chinese OFDI. The OLS regression results show that the cultural tolerance and trust in the host countries are significantly positively correlated with Chinese OFDI, which are robust according to the system GMM tests. Further analysis reveals that cultural tolerance is more positively related to Chinese OFDI in host countries with higher legislation and economic freedom, while cultural trust is positively associated with Chinese OFDI in host countries with lower legislation and economic freedom. In addition, higher cultural tolerance and trust promote Chinese OFDI in countries with greater cultural distance. Unlike traditional studies based on cultural distance in international trade, using more representative cultural characteristics, this paper provides references to Chinese OFDI decision-making based on the root characteristics associated with heterogeneous cultural influences.

Employee safety behavior is critical for occupational health in work environments threatened by the COVID-19 pandemic. Meanwhile, the widespread and increasingly serious job burnout of employees is a complex and difficult problem for enterprises to handle during any epidemic. Therefore, it is helpful to identify and discuss job burnout and other main psychological factors that affect safety behavior to find appropriate solutions. Using the PLS-SEM method, the study explored the relationship between job burnout and safety behavior against the epidemic, as well as the mediating role of psychological contract. According to the local guidelines for controlling COVID-19, this study revised the safety behavior scale. Data were collected by structured questionnaires in May to July 2020 from Chinese employees who resumed their work after the outbreak of the pandemic. The findings confirmed that job burnout has a negative impact on safety behavior, and psychological contract play a partial mediating role in mitigating the negative impact. Specifically, the transaction dimension and relationship dimension of psychological contract negatively affected safety behavior while the development dimension of the psychological contract was not directly related to safety behavior. It is suggested that enterprises should take effective measures to reduce employees’ job burnout and implement flexible psychological contract management and intervention, so as to effectively improve the performance of work safety behavior. Based on the multidimensional model, the findings of this study shed light on promoting safety behavior to prevent the spread of epidemics.

In the last 20 years, much attention has been paid to learners’ demotivation. Researchers have conducted many studies on second/foreign language learning demotivation from the perspectives of social culture, social psychology, and so forth. In China, related studies have mainly focused on college students’ demotivation; scant attention has been paid to senior high school students. Regarding scale development, although much progress has been made, there remains a need for a scale with high reliability and validity that is suitable for students in the basic education stage. Therefore, based on previous studies and choosing Chinese senior high school students as participants, this research study developed a scale with 55 items, and exploratory factor analysis was used to develop a 28-item scale with six dimensions. The six-dimensional construct encompasses teacher knowledge, important others, teacher responsibility, learner-related factors, learning contents, and critical incidents, which are the key factors leading to English learners’ demotivation. Among them, the factor of critical incidents is new and has been overlooked by other researchers. Moreover, the descriptive analysis demonstrated the degree to which the demotivators influence learners, and the independent samples t-test found a significant difference in the impact of critical incidents in terms of the students’ language proficiency. Ultimately, four suggestions are put forward to remotivate and sustain learners’ motivation.

Bertrand’s paradox ) can be considered as a cautionary memento, to practitioners and students of probability calculus alike, of the possible ambiguous meaning of the term ‘at random’ when the sample space of events is continuous. It deals with the existence of different possible answers to the following question: what is the probability that a chord, drawn at random in a circle of radius R, is longer than the side of an inscribed equilateral triangle? Physics can help to remove the ambiguity by identifying an actual experiment, whose outcome is obviously unique and prescribes the physical variables to which the term ‘random’ can be correctly applied. In this paper, after briefly describing Bertrand’s paradox, we associate it with an experiment, which is basically a variation of the famous Buffon’s needle experiment for estimating the value of π. Its outcome is compared with the analytic predictions of probability calculus, that is with the probability distribution of variables whose uniform distribution can be considered a sound implementation of complete randomness.

Based on socioeconomic statistical data, transport data, and network big data, the urban connection index was constructed in terms of industry, transportation, information, and innovation, and the high-quality development index was established from five aspects: innovation, coordination, green development, openness, and sharing. Taking Lanzhou-Xining urban agglomeration as a case, the urban connection intensity and high-quality development level were measured to analyze the relationship between them. From 2012 to 2018, the UCI and HDI of each city showed different degrees of growth. Note that there exist significant regional differences, with Lanzhou and Xining having the largest difference. The biggest gap among cities lies in the innovative connection intensity. Moreover, urban external connections are closely related to high-quality development, especially innovation and green development. For every 1% increase in industrial and transport connection, the HDI will increase by 0.317% and 0.159%, respectively. This study provides a methodological reference for measuring urban connectivity and provides decision support for high-quality development in China and other countries.

Metrics and their weaker forms are used to measure the difference between two data. There are many metrics that are available but not desired by a practitioner. This paper recommends in a plausible reasoning manner an easy-to-understand method to construct desired distance-like measures: to fuse easy-to-obtain pseudo-semi-metrics, pseudo-metrics, or metrics by making full use of well-known t-norms, t-conorms, aggregation operators, and similar operators. The simple reason to do this is that data for a real world problem are sometimes from multiagents. A distance-like notion, called weak interval-valued pseudo-metrics, is defined by using known notions of pseudo-semi-metrics, pseudo-metrics, and metrics; this notion is topologically good and shows precision, flexibility, and compatibility than single pseudo-semi-metrics, pseudo-metrics, or metrics. Propositions and detailed examples are given to illustrate how to fabricate an expected or demanded WIVP-metric in practical problems, and WIVP-metric and its special cases are characterized by using axioms. Moreover, some WIVP-metrics pertinent to quantitative logic theory or interval-valued fuzzy graphs are constructed, and fixed point theorems and common fixed point theorems in weak interval-valued metric spaces are also presented. Topics and strategies for further study are also put forward concretely and clearly.

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.

This paper investigates the effects of 10 factors on the choice between alternative ba sentences and SVO sentences in Mandarin Chinese. These factors are givenness, definiteness, animacy and pronominality of NP2s, NP2 length, VP length, verb sense, syntactic parallelism, dependency distance, and surprisal. Using corpus data and mixed-effects logistic regression modeling, we find that on the one hand, givenness, syntactic parallelism, and the log-transformed ratio of NP2 length and VP length are significant predictors of the choice between ba sentences and SVO sentences. A new NP2, a large length ratio and a parallel construction predict an SVO sentence rather than a ba sentence. On the other hand, dependency distance and surprisal estimated by the trigram model are effective in predicting the choice between naturally occurring ba/svo sentences and their alternatives. Naturally occurring sentences are more likely to have shorter dependency distances and smaller surprisal values than the converted sentences. The effects of these five factors on syntactic choice are congruent with results of previous studies, which suggests that some determinants of syntactic choice are shared among languages.

As was previously known, pediatric medical staff in China faced several hurdles including high occupational risk, multiple contradictions, heavy workload, and long working hours. After the outbreak of 2019 novel coronavirus, facing the overload of work and the potential risk of infection, pediatric medical workers may be under great psychological pressure. The purpose of this article was to call attention to the impact of the epidemic on the mental health of Chinese pediatric workers, and developing psychological intervention program that are tailored to them. The experiences from this public health emergency should inform the efficiency and quality of future crisis intervention of the Chinese government and authorities around the world.

The rapid popularity of mobile shopping makes people’s lives more convenient, but it also makes it easier for customers to change providers. How to use marketing stimulus to retain customers has become an urgent concern for mobile sales companies. However, the theoretical researches in this field are not enough. For this reason, this study used the methods of literature review and structural equation to explore the effects of mobile marketing design factors on the continual intention of consumers in mobile shopping by using the S-O-R model and its extended theories. The conclusions of the research showed that interface quality of mobile sales terminal and integrity of mobile sales terminal had significant positive impacts on consumption emotion; sales promotion in mobile sales terminal had a significant positive impacts on continual intention of mobile shopping; consumption emotion had a significant positive effect on continual intention of consumers in mobile shopping; consumption emotion played a significant mediating role in the relationship between interface quality of mobile sales terminal and continual intention of mobile shopping and between integrity of mobile sales terminal and continual intention of mobile shopping. The conclusions could not only enrich the theories of mobile shopping behavior but also provide guidance for companies to carry out mobile marketing activities and allocate marketing resources rationally.

With the rapid development of mobile devices, users can now read on the screen. Electronic reading has become a common reading style with the growth in online learning or electronic learning. E-book applications are widely developed and applied for reading on a screen. However, it is difficult for readers to change their reading habits or preference from paper-printed books to digital devices. The study of readers' continuance intention to use e-book APPs is the first step to improving e-reading. This study focuses on the influential factors on undergraduates' continuance intention of e-book APPs, which analyzed and summarized the literature related to the electronic book applications and undergraduates' continuous intention, combined with the characteristics of the e-book APPs, introduced relevant theories and variables, and established the factors that influence undergraduates' continuous intention of using e-book APPs. On this basis, the paper analyzed the relationship between various influencing factors and their influence on continuous intention. A model composed of five hypotheses was constructed to test the factors influencing undergraduates' continuous intention in e-book APPs. The results indicated that of all research variables, satisfaction is the most important factor that affects continuous intention; Perceived usefulness and perceived playfulness have an indirect effect on continuous intention through satisfaction; personalization has direct effects on perceived usefulness and perceived playfulness, so it also has an indirect effect on continuous intention. The findings of the study will be helpful for designers and developers of e-book APPs and provide e-book APP suggestions for readers as well.

Objective: To investigate the relationship between psychological empowerment, psychological capital, job involvement, and the retention intention of kindergarten teachers in mainland China and the internal mechanism of action.Methods: A total of 554 kindergarten teachers were investigated by scales for psychological empowerment, psychological capital, job involvement, and retention intention.Results: Psychological empowerment was positively correlated with psychological capital and job involvement. Psychological capital was positively correlated with job involvement. Psychological empowerment, psychological capital, and job involvement were significantly and positively correlated with retention intention. Psychological empowerment influences kindergarten teachers' retention intention mainly through three indirect effects: the single intermediary effects of psychological capital and job involvement and the chain intermediary effect of psychological capital → job involvement.Conclusion: Psychological empowerment can not only indirectly predict the retention intention of kindergarten teachers through the single intermediary effects of psychological capital and job involvement, but also indirectly predict the retention intention of kindergarten teachers through the chain intermediary effect of psychological capital and job involvement.

Drawing on social information processing theory and a career development perspective, we examined the effect of transformational leadership on the perceived overqualification via career growth opportunities, and how the supervisor–subordinate guanxi moderates the relationship between transformational leadership and perceived overqualification. We tested this proposal using three waves of lagged data collected from 351 company employees in the Yangtze River Delta region in China. The results revealed that transformational leadership had an indirect effect on perceived overqualification through career growth opportunities, and supervisor–subordinate guanxi moderated the positive association between transformational leadership and career growth opportunities. In addition, the mediating effect of transformational leadership on perceived overqualification through career growth opportunities was stronger when the level of supervisor–subordinate guanxi was high and weaker when it was low. The findings have theoretical and practical implications for reducing employees’ perceptions of overqualification in the organizational context.

The safety of the transmission lines maintains the stable and efficient operation of the smart grid. Therefore, it is very important and highly desirable to diagnose the health status of transmission lines by developing an efficient prediction model in the grid sensor network. However, the traditional methods have limitations caused by the characteristics of high dimensions, multimodality, nonlinearity, and heterogeneity of the data collected by sensors. In this paper, a novel model called LPR-MLP is proposed to predict the health status of the power grid sensor network. The LPR-MLP model consists of two parts: local binary pattern, principal component analysis, and ReliefF are used to process image data and meteorological and mechanical data and the multilayer perceptron method is then applied to build the prediction model. The results obtained from extensive experiments on the real-world data collected from the online system of China Southern Power Grid demonstrate that this new LPR-MLP model can achieve higher prediction accuracy and precision of 86.31% and 85.3%, compared with four traditional methods.

Objectives: The objectives of the study were to explore the effect of self-presentation and psychological needs on exercise dependence and to provide an essential reference for preventing and inhibiting the production of exercise dependence in overweight college students. Methods: The freshmen in two comprehensive universities accepted physical fitness tests, filled out the scales of self-presentation, psychological needs, and exercise dependence after obtaining their consent. A sample of 747 overweight college students who have regular exercise was screened using the formula of Fox sports participation and the standard of overweight for Chinese adults. Multiple regression, exploratory factor, and confirmatory factor analyses were used to analyze the related data. Results: In overweight college students, compared with the lower peers, those with higher physical attractiveness were more likely to suffer from detoxification of emotion, physiology, and vitality, and compared with the lower peers, those with higher self-presentation were more likely to appear in physiological abstinence. The self-presentation of overweight male and female students has a significant positive influence on psychological needs and exercise dependence. In contrast, psychological needs have a significant negative influence on exercise dependence. The psychological needs of overweight male and female college students were established as the mediating effect of self-presentation and exercise dependence. The mediating effect of psychological needs of females was higher than that of males. The “ability display” of male and female students can affect “emotional distress” by “autonomy” and “competence.” The sense of relationship partially mediated the “attractiveness” of male and female students. Also, females on the one hand, rely on “weight control” by “competence” to produce some mediating effects on “physiological distress.” At the same time, the “ability display” by “competence” has a full mediating effect on “physiological distress.” Conclusion: In the self-presentation of the overweight college students, the higher scores in “attractiveness,” “weight control,” and “ability display,” the higher the psychological needs and exercise dependence; the higher the autonomy, competence, and relationship, the less the emotional, physiological, and dynamic distress.

While many publications have reported brain hemodynamic responses to decision-making under various conditions of risk, no inventory management scenarios, such as the newsvendor problem, have been investigated in conjunction with neuroimaging. In this study, we hypothesized that NP stimulates the dorsolateral prefrontal cortex and the orbitofrontal cortex joined with frontal polar area significantly in the human brain, and that local brain network properties are increased when a person transits from rest to the NP decision-making phase. A 77-channel functional near infrared spectroscopy system with wide field-of-view was employed to measure frontal cerebral hemodynamics in response to NP in 27 healthy human subjects. NP-induced changes in oxy-hemoglobin concentration, Δ[HbO], were investigated using a general linear model and graph theory analysis. Significant activation induced by NP was shown in both DLPFC and OFC+FPA across all subjects. Specifically, higher risk NP with low-profit margins activated left-DLPFC but deactivated right-DLPFC in 14 subjects, while lower risk NP with high-profit margins stimulated both DLPFC and OFC+FPA in 13 subjects. The local efficiency, clustering coefficient, and path length of the network metrics were significantly enhanced under NP decision making. In summary, multi-channel fNIRS enabled us to identify DLPFC and OFC+FPA as key cortical regions of brain activations when subjects were making inventory-management risk decisions. We demonstrated that challenging NP resulted in the deactivation within right-DLPFC due to higher levels of stress. Also, local brain network properties were increased when a person transitioned from the rest phase to the NP decision-making phase.

The aim of the present study was to explore the differences in technical performances of players considering playing positions by controlling the effect of situational variables in each FIBA female continental basketball competition. Samples of 9,208 observations from 471 games in the America, Africa, Asia, and Europe Championships during 2013–2017 were collected and analyzed by generalized mixed linear modeling. The results showed that Centers from Europe had more 2-point made, 2-point attempted, and offensive and defensive rebounds than forward. Asian and European guards performed a fewer number of 2-point made, 2-point attempted, and offensive and defensive rebounds than Asian and European centers. African and Asian forward had more 2-point made, 2-point attempted than guards. This study helps to better understand the technical demands of female basketball among different international competitions, which could pave a new way to analyze the development trend of female basketball and promoting specific training plans and game strategies for coaches and players.

Real-time smoke detection is of great significance for early warning of fire, which can avoid the serious loss caused by fire. Detecting smoke in actual scenes is still a challenging task due to large variance of smoke color, texture, and shapes. Moreover, the smoke detection in the actual scene is faced with the difficulties in data collection and insufficient smoke datasets, and the smoke morphology is susceptible to environmental influences. To improve the performance of smoke detection and solve the problem of too few datasets in real scenes, this paper proposes a model that combines a deep convolutional generative adversarial network and a convolutional neural network to extract smoke features and detection. The vibe algorithm was used to collect smoke and nonsmoke images in the dynamic scene and deep convolutional generative adversarial network used these images to generate images that are as realistic as possible. Besides, we designed an improved convolutional neural network model for extracting smoke features and smoke detection. The experimental results show that the method has a good detection performance on the smoke generated in the actual scenes and effectively reduces the false alarm rate.

In accordance with the compositionality criterion and hierarchy principle of Rhetorical Structure Theory, this study reframes each tree in the RST Discourse Treebank into three new dependency trees with ultimate nodes being clauses, sentences, and paragraphs, respectively, which also draw on an analogy between syntactic and discourse trees. Detailed percentages of various RST relations at the three granularity levels are examined, illuminating the discourse processes of organizing units of one granularity level into those of the next upper level and suggesting certain homogeneity and interaction across levels in the Treebank, particularly at the two upper levels. The study demonstrates the applicability of RST analysis between same-level terminal units. With unique analytical advantages, the newly constructed discourse dependency trees provide new research prospects.

Long distance travel is an unusual activity for humans. The economical cabin environment during the long haul flights causes discomfort and even stress for many passengers. In-flight video and music systems are commonly available to improve the comfort level of the passengers. However, current in-flight music systems do not explore how the content can be used to reduce passengers stress. Most of these systems are designed and implemented assuming a homogeneous passenger group that has similar tastes and desires. In this paper, we present a heart rate controlled in-flight music recommendation system for reducing the stress during air travel. The system recommends personalized music playlists to the passengers and attempts to keep their heart rate in a normal range with these playlists. Experiments in a simulated long haul flight cabin environment find that the passengers’ stress can indeed be significantly reduced through listening to the recommended music playlists.

Artificial intelligence (AI) is increasingly expected to disrupt the ordinary functioning of society. From how we fight wars or govern society, to how we work and play, and from how we create to how we teach and learn, there is almost no field of human activity which is believed to be entirely immune from the impact of this emerging technology. This poses a multifaceted problem when it comes to designing and understanding regulatory responses to AI. This article aims to: (i) defend the need for a novel conceptual model for understanding the systemic legal disruption caused by new technologies such as AI; (ii) to situate this model in relation to preceding debates about the interaction of regulation with new technologies (particularly the ‘cyberlaw’ and ‘robolaw’ debates); and (iii) to set out a detailed model for understanding the legal disruption precipitated by AI, examining both pathways stemming from new affordances that can give rise to a regulatory ‘disruptive moment’, as well as the Legal Development, Displacement or Destruction that can ensue. The article proposes that this model of legal disruption can be broadly generalisable to understanding the legal effects and challenges of other emerging technologies.