X. Wang

This article explores the discursive behaviour of Chinese local officials in press conferences handling the recent 2015 crisis of Tianjin blasts. Drawing upon the previous analyses on relations of trust and discourse, and on the crucial aspects of trustworthiness, it examines how the officials struggled for trustworthiness discursively, and how their ‘doing’ trustworthiness varied in two phases of crisis communication. The analysis reveals markedly different approaches to the officials’ ‘doing’ trustworthiness in two phases. In the ‘unsatisfactory’ phase, the officials mainly constructed the aspect of expertise, with few expressions conveying integrity and none conveying care; while in the ‘well-handled’ phase, the officials constructed all three aspects. In addition, their discursive strategies of constructing expertise changed from extensively using ‘techs’ to combining ‘techs’ and vernacular language, and those of constructing integrity changed from not saying ‘what lacks evidence’ to providing information with adequate evidence. Effects of different aspects and discursive strategies on trust are also discussed.

In poor and remote areas, teachers frequently encounter serious ongoing challenges and experience teacher exhaustion due to the uneven distribution of resource supply, and a shortage of professional support. Maintaining teachers’ professional wellbeing in an unfavorable teaching environment has become a major challenge. The current study explores teachers’ professional wellbeing in the context of a five-month-long professional development program designed for teachers in areas of deep poverty in China. This study adopted the method of narrative enquiry and collected diaries written before and after the program from 46 primary school English teachers. Based on the manually analyzed data, it was found that teachers’ overall wellbeing at work was enhanced in terms of their professional meaning, engagement, and achievement. The systematic analysis of the diaries helped to better understand how the program exerted such an effect on teachers’ learning experiences and their wellbeing.

The Industry 4.0 concept proposes that new cutting-edge technologies, such as the Internet of Things, will grow. The acceptance of IoT in the circular economy is still in its infancy, despite its enormous potential. In the face of growing environmental affairs, IoT based Industry 4.0 technologies are altering CE practices and existing business models, according to the World Economic Forum. This research investigates the function of IoT-based Industry 4.0 in circular CE practices, as well as their impact on economic and environmental performance, which in turn influences overall organizational performance. China-based enterprises provide information for the study, which includes data from 300 companies. Utilizing a structural equation modeling framework known as partial least squares structural equation modeling. The major findings are presented in the study: the IoT significantly improves the activities of the CE; the IoT significantly improves the practices of the CE; and the IoT meaningfully advances the practices of CE. Moreover, the findings shows that environmentally friendly business practices help enhance environmental performance of firm, while also stimulating their economic performance; and improved environmental performance has a significant positive influence on firm performance. This research lays the groundwork for contributing nations/companies to attain economic and long-term sustainability goals at the same time by incorporating IoT-based Industry 4.0 technology into CE practices.

Owing to the proliferation of rumors on social media, it is necessary to disseminate debunking information to minimize the harm caused by them. Using content analysis, sentiment analysis, and regression analysis, this study examined the mediating role of follower count in the relationship between the debunker’s identity and sharing behavior, and it explored the relationship between the text sentiment of debunking information and sharing behavior based on data on the spread of three rumors that circulated extensively on social media. Using an ordinary account as a reference, we found that the mediating or suppression effect of follower count in the relationship between debunker’s identity and sharing behavior was significant. The three test identities had more followers than the ordinary account, which resulted in a significant positive effect on the number of reposts. The debunker’s identity did not have a positive effect on the sharing of debunking information when controlling for mediating variables. Debunking information with emotional overtones was shared more widely compared with information with neutral emotions, and the dominant emotional polarity was different in the three different rumors. These findings can contribute to the generation of debunking information content, which can aid in the development of effective communication strategies and improvement in the efficiency of crisis management.

In this paper, a repetitive control scheme of a 2-DOF robotic manipulator based on the improved cubic B-spline curve is proposed. Firstly, a repetitive controller for robotic manipulator is designed, which is composed of an iterative controller and disturbance observer. Then, an improved B-spline optimization scheme is introduced to divide the task of the robotic manipulator into three intervals. A correction function is added to each interval of cubic spline interpolation. Finally, a variety of cases are designed and simulated by MATLAB. The experimental results show that, compared with the conventional B-spline, the improved B-spline has better performance in tracking accuracy and smoothness of motion trajectory. By changing the mechanism of the manipulator, the cases of different weights and lengths are designed. The experimental results in these cases show that the proposed scheme can be applied to most of the 2-DOF robotic manipulator control systems.

ObjectivesThis study examined the association between childhood adversity and cognitive impairment in later life and explored the potential moderation effect of gender and race.MethodsThe study sample included 15,133 participants of the Health and Retirement Study who had complete data on key study measures and were more than 50. The outcome variable is a dichotomous indicator of cognitive impairment as assessed by the Telephone Interview for Cognitive Status for self-respondents and the 16-item Informant Questionnaire on Cognitive Decline in the Elderly for proxies. A total of six childhood adversity indicators included grade retention, parental substance abuse, physical abuse, trouble with the police, moving due to financial hardship, and receipt of help due to financial hardship in early life. The estimation of the association between childhood adversity and cognitive impairment involved Cox proportional hazards regression. Results: Grade retention had the largest effect on incident cognitive impairment, followed by physical abuse by a parent. The impact of grade retention was more detrimental to women than men. Parental substance abuse was associated with a lower risk of incident cognitive impairment for most racial groups, but this association was reversed in “non-Hispanic other” race, consisting mainly of Asians.DiscussionSome aspects of childhood adversity continue to harm cognitive functioning in later life, while some events may have the opposite effect, with evidence of heterogeneity across gender and race.

Students’ personal, emotional, and psychological traits are perceived to be highly influential in their academic engagement; therefore, many investigations have been conducted into the role of students’ characteristics in their level of engagement. Yet, the role of L2 enjoyment and academic motivation as two instances of students’ emotional traits was disregarded. To narrow this gap, this article aimed to assess the effects of these two constructs on Chinese EFL students’ academic engagement. To accomplish this, three pre-designed scales were virtually administered to 490 Chinese students. Using the Spearman Rho test, significant correlations were discovered among the variables. Further, through regression analysis, the predictive power of dependent variables was also assessed. Chinese students’ academic engagement was proved to be favorably predicted by L2 enjoyment and academic motivation. The implications and limitations are finally discussed.

The rate of learning and cognitive development is at its highest level in preschool-aged children, making this stage a critical period. Exercise has received increasing attention for its beneficial physical and mental health effects on the development of preschool children. This study investigated the effects of diverse exercise on the cognition of preschool children. Two classes were randomly selected from kindergarten classes of children aged 5–6 years, and designated as the experimental and control classes. Each class contained 20 children according to the kindergarten class system. The experimental class completed exercises according to the designed curriculum, while control class carried out exercises according to the regular teaching plan, for a study period of 12 weeks. The Wechsler Preschool and Primary Scale of Intelligence and the Mental Health Questionnaire for Children were used to assess outcomes, both at the beginning and end of study. After 12 weeks, the experimental class has improved in the “Object Assembly,” “Block Design,” “Picture Completion,” and “Coding” in performance test, and showed improvements in the “Movement,” “Cognitive Ability,” “Sociality” and “Living Habits” in mental health outcomes. Diverse exercise has a significantly beneficial role in promoting the cognitive development of children aged 5–6 years, as well as a beneficial, albeit insignificant, role in their mental health.

To investigate whether implicit detection occurs uniformly during change blindness with single or combination feature stimuli, and whether implicit detection is affected by exposure duration and delay, two one-shot change detection experiments are designed. The implicit detection effect is measured by comparing the reaction times of baseline trials, in which stimulus exhibits no change and participants report “same,” and change blindness trials, in which the stimulus exhibits a change but participants report “same.” If the RTs of blindness trials are longer than those of baseline trials, implicit detection has occurred. The strength of the implicit detection effect was measured by the difference in RTs between the baseline and change blindness trials, where the larger the difference, the stronger the implicit detection effect. In both Experiments 1 and 2, the results showed that the RTs of change blindness trials were significantly longer than those of baseline trials. Whether under set size 4, 6, or 8, the RTs of the change blindness trials were significantly longer than those in the baseline trials. In Experiment 1, the difference between the baseline trials’ RTs and change blindness trials’ RTs of the single features was significantly larger than that of the combination features. However, in Experiment 2, the difference between the baseline trials’ RTs and the change blindness trials’ RTs of single features was significantly smaller than that of the combination features. In Experiment 1a, when the exposure duration was shorter, the difference between the baseline and change blindness trials’ RTs was smaller. In Experiment 2, when the delay was longer, the difference between the two trials’ RTs was larger. These results suggest that regardless of whether the change occurs in a single or a combination of features and whether there is a long exposure duration or delay, implicit detection occurs uniformly during the change blindness period. Moreover, longer exposure durations and delays strengthen the implicit detection effect. Set sizes had no significant impact on implicit detection.

Parenting styles are considered to have an important influence on the development of individuals and have been associated with empathy. The present study aimed to investigate the self-reported different parenting styles in childhood and adolescence and associated cognitive and affective empathy among offenders. Men incarcerated in prison in Jiangsu Province in China were invited to participate. Each consenting participant was asked to complete the Parental Bonding Instrument to collect information regarding the parenting styles they experienced in childhood and adolescence and the Interpersonal Reactivity Index to evaluate their empathy. A multivariable linear regression analysis was conducted to explore the associations between different parenting styles and the empathy of offenders, and a one-way multivariate analysis of variance and a t-test were used to explore the differences in cognitive and affective empathy with different degrees of parenting styles. The parental care and control factors in childhood and adolescence were significantly more strongly associated with empathy among offenders than the parental encouragement factor. There were different associations between the parental care and control factors and offenders’ empathy depending on whether the parenting styles were consistent or inconsistent. When the parenting styles were consistent, different degrees of parental care had a significant predictive effect on cognitive and affective empathy, while different degrees of parental control were only significantly associated with affective empathy among the offenders. When the parenting styles were inconsistent, different degrees of paternal and maternal control were associated with cognitive and affective empathy among the offenders. Our findings suggest that not only different parenting styles experienced in childhood and adolescence had different predictive effects on empathy among offenders but also the degrees of parenting styles and whether the paternal and maternal parenting styles were consistent or inconsistent may affect the patterns of parenting styles and empathy. Moreover, the parental control factor had a particular influence on empathy among the offenders. Our findings underscore the pressing need for adopting preventive monitoring measures or developing policies to improve parenting styles.

Wheels are the key components of a train, and the shape of the wheel flange should be maintained to ensure the security of train operations. As a method to maintain the shape at the cost of the diameter size, reprofiling has significant impacts on the lifecycle of a train. A wheel model is built in this paper based on the analysis of the wheel wear features and datasets from Taiyuan locomotives. With the decision variables T i, T i ′, which describe the reprofiling strategy, we formulate a multiobjective optimization problem simultaneously minimizing the reprofiling numbers and maximizing the serving years. To find the solutions of the multiobjective model, the NSGA-II is extended with an alteration of the crowding distance calculation and genetic operators. The improved NSGA-II performs better than other approaches. Meanwhile, outstanding solutions with longer servicing years and less reprofiling are listed in this paper. Our study reveals the relationship between the diameter, flange thickness, and their individual attrition rates and proposes a wear model, multiobjective model, and improved NSGA-II. Compared with existing reprofiling strategies, the strategy recommended in our work can significantly increase the lifecycle of the wheel coupled with a low repair frequency.

In a world awash with data, the ability to think and compute with data has become an important skill for students in many fields. For that reason, inclusion of some level of statistical computing in many introductory-level courses has grown more common in recent years. Existing literature has documented multiple success stories of teaching statistics with R, bolstered by the capabilities of R Markdown. In this article, we present an in-class data visualization activity intended to expose students to R and R Markdown during the first week of an introductory statistics class. The activity begins with a brief lecture on exploratory data analysis in R. Students are then placed in small groups tasked with exploring a new dataset to produce three visualizations that describe particular insights that are not immediately obvious from the data. Upon completion, students will have produced a series of univariate and multivariate visualizations on a real dataset and practiced describing them.

Since the sudden outbreak of the coronavirus disease 2019 epidemic in 2020, the second language learning patterns of students in mainland China have encountered new challenges that have had a psychological impact on mainland Chinese students. The epidemic has not only inconvenienced students’ normal second language learning but also greatly affected the second language learning patterns of mainland Chinese students. In the post-epidemic era, more and more students are becoming accustomed to studying and learning a second language online. The level of informatization of second language learning patterns of students in mainland China has increased significantly. This study first analyses the mechanisms of change in second language learning patterns and further analyses the influence of knowledge background on the perception of second language learning patterns on this basis. To design the influencing factors of second language learning patterns, a questionnaire was used to investigate the influence of knowledge background on the perception of second language learning patterns. The survey was conducted on students who were learning a second language in mainland China. Then, the survey data were statistically analyzed. In analyzing the influence of effect on second language learning behaviors of students in mainland China, observed variables were designed, including observed variables of affective factors and learning behaviors. After that, the findings of the experiment were summarized based on the results of the questionnaire survey, and the positive influence of emotional factors on second language learning behaviors of mainland Chinese students in the post-development era was concluded.

The paper expands upon the work by Wang [4], who proposes a new framework based on quantifier-free predicate language extended by a new modality ∃x□\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\exists x\Box $$\end{document} and axiomatizes the logic over S5 frames. This paper gives the logics over K, D, T, 4, S4 frames with increasing and constant domains. And we provide a general strategy for proving completeness theorems for logics w.r.t. the increasing domain and logics w.r.t. the constant domain respectively.

Product innovation integrates technology, knowledge, management practices, and market innovation, making it essential to gain a competitive advantage. Effective management of dynamic knowledge, which is the foundation of and driving force for product innovation, is a powerful tool that allows a firm to successfully innovate, adapt to environmental changes, and improve its competitiveness. In the “nanosecond age,” unlearning and learning in an organization is crucial to a firm’s ability to promptly update its organizational knowledge and maintain innovation vitality. Based on the dynamic knowledge management perspective, this study integrates and constructs a theoretical model with environmental dynamism as the moderating variable, discusses the impact of organizational unlearning on product innovation performance, and empirically analyzes 208 valid questionnaires in the Yangtze River Delta using the multiple regression method. The results show that organizational unlearning shares a positive relationship with dynamic capabilities and product innovation performance. Dynamic capability is positively related to product innovation performance and has a partial mediating effect on the relationship between organizational unlearning and product innovation performance. Environmental dynamism shares a positive moderating effect on the relationship between organizational unlearning and product innovation performance. This study deepens the existing research on the factors that influence product innovation performance, which may help firms improve their dynamic knowledge management and product innovation performance.

Evaluating the price policy of raw milk is of great significance to the sustainable development of an industry supply chain. In this context, our study used the multi-period difference-in-difference method to systematically examine the impact of the policy implementation on product price and profit distribution in the supply chain. The results showed the following: the price of raw milk in the implementation area of the price support policy is 13.54% higher than that of the unimplemented area; the effect of price increase in the western region is higher than that in the eastern region, and the central region ; furthermore, the purchase price guidance policy of raw milk drives price increase or price suppression in the links of the supply chain to promote a balanced distribution of profits among the participants in the chain. These conclusions all have good stability and have reference significance for further improving and adjusting the price support policy of raw milk to realize the sustainable development of the Chinese dairy industry. This will enhance the production confidence of Chinese raw milk producers and improve Chinese consumers’ expectations and consumer psychology regarding domestic dairy products.

ObjectiveThe purpose of this study was to investigate the relationship between work passion and work engagement among university music teachers in flow experience and teaching well-being.MethodsThree hundred forty-three university music teachers were tested by using the Flow State Scale, Teacher Well-Being Scale, Work Passion Scale, and Work Engagement Scale.ResultsUniversity music teachers’ flow experience can predict teaching well-being. University music teachers’ flow experience has an indirect impact on teaching well-being through work passion, and university music teachers’ flow experience has an indirect impact on teaching well-being through work engagement. In addition, work passion and work engagement play a chain-mediating role between university music teachers’ flow experience and teaching well-being.ConclusionWork passion and work engagement play a sequential mediating role between university music teachers’ flow experience and teaching well-being.

Accurate wind speed forecasting is an effective way to improve the safety and stability of power grid. A novel hybrid model based on twice decomposition, phase space reconstruction, and an improved multiverse optimizer-extreme learning machine is proposed to enhance the performance of short-term wind speed forecasting in this paper. In consideration of the nonstationarity of the wind speed signal, a twice decomposition based on improved complete ensemble empirical mode decomposition with adaptive noise, fuzzy entropy, and variational mode decomposition is proposed to reduce the nonstationarity of the original signal firstly. Then the PSR based on C-C method is employed to reconstitute the decomposed signal as the input of the prediction model. Lastly, an improved multiverse optimizer is proposed to improve the stability and efficiency of ELM which is used as prediction model. Furthermore, two experiments are designed to verify the performance of the proposed method; the results indicate that the wind speed forecasting with twice decomposition of original wind speed signal is better than other once-decomposition methods and much better than forecasting without decomposition; the C-C-PSR method can determine the input dimension of ELM and improve the prediction accuracy of ELM; the IMVO has improved the stability of ELM, and the optimization efficiency is better than other comparison optimization methods. The results show that the proposed hybrid approach is a useful tool for short-term wind speed forecasting.