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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)

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BackgroundPsychological resilience may reduce the impact of psychological distress to some extent. We aimed to investigate the mental health status of the public during the outbreak of coronavirus disease 2019 and explore the level and related factors of anxiety and depression.MethodsFrom February 8 to March 9, 2020, 3,180 public completed the Zung’s Self-Rating Anxiety Scale for anxiety, Zung’s Self-Rating Depression Scale for depression, the Connor–Davidson resilience scale for psychological resilience, and the Simplified Coping Style Questionnaire for the attitudes and coping (...) styles.ResultsThe number of people with depressive symptoms was 1,303. The number of people with anxiety symptoms was 1,184. The depressed group and anxiety group had less education, more unmarried and younger age, as well as had significant different in SDS total score, SAS total score, CD-RISC total score, and SCSQ score. The binary logistic regression showed that female, strength, and the subscales of active coping style in SCSQ remained protective factors and passive coping style and higher SAS score were risk factors for depression. Optimism in CD-RISC was a protective factor, and passive coping styles and higher SDS score were risk factors for anxiety.LimitationsThis study adopted a cross-sectional design and used self-report questionnaires.ConclusionThe mental health of the public, especially females, the younger and less educational populations, and unmarried individuals, should be given more attention. Individuals with high level of mental resilience and active coping styles would have lower levels of anxiety and depression during the outbreak of COVID-19. (shrink)

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ABSTRACT This study seeks exploration of how employees’ moral identity is related to voice behavior in the current organizational dynamics. By integrating the self-consistency theory with a situational strength perspective, a moderated mediation model was constructed to examine connections among moral identity, leader secure-base support, work engagement, and voice behavior. Surveys were collected at 2 time points, 1 month apart, from 206 full-time employees in various organizations and industries in Taiwan. Supporting results indicated that employees’ moral identity was positively related (...) to voice behavior. The mediating impact of work engagement as a motivational mechanism between moral identity and voice behavior was observed. Relative to when LSBS was low, the effect of moral identity on work engagement and the indirect effect of moral identity on voice behavior through work engagement were more substantial when LSBS was high. Academic and managerial implications were discussed. (shrink)

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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)

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The structure of communication networks can be more or less “democratic”: networks are less democratic if (a) communication is more limited in terms of characteristic degree and (b) is more tightly channeled to a few specifc nodes. Together those measures give us a two-dimensional landscape of more and less democratic networks. We track opinion volatility across that landscape: the extent to which random changes in a small percentage of binary opinions at network nodes result in wide changes across the network (...) as a whole. If wide and frequent swings of popular opinion are taken as a mark of instability, democratic communication networks prove far more stable than anti-democratic ones. In a fnal section, we consider the democratic or anti-democratic character of networks that respond to volatility by rewiring at random, in a search for community, or in a search for a leader. (shrink)

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Interest in sustainability is increasing, and research on ESG management continues. The first issue to be discussed in the present situation is the environment. The study between the environment and internationalization was conducted around two conflicting arguments. First, the pollution haven hypothesis states that multinational corporations move to countries with looser regulations depending on environmental regulation. Next is the Porter Hypothesis, which argues that well-designed environmental regulations offset the cost of compliance and ultimately help firms gain a competitive advantage through (...) innovation that enhances performance. However, the two arguments have not yet reached a consensus conclusion. In addition, studies on the national level and studies considering the distance between countries, an important factor in international management, are lacking. This manuscript aims to revisit the relationship between the strength of environmental regulation and foreign direct investment in the context of increasing environmental concerns. Differences between countries are an important field of international management, but research on environmental regulations is lacking. The purpose of this study is to examine the relationship between existing environmental regulations and FDI and to discuss how the distance between countries can affect existing theories. (shrink)

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Fyodor Mikhailovich Dostoevsky is one of the classic Russian writers who has been well known by Chinese readers. At the beginning of the twentieth century, Dostoevsky came to China along with the dissemination of Russian literature, and his works participated in the process of the development of Chinese literature in a unique way. After more than a century of development, Dostoevsky studies in China have accumulated more than two thousand pieces of literature, which record the tireless interpretations and explorations of (...) Chinese scholars into the thought and art of Dostoevsky’s works. With the help of data analysis and bibliometric methods, this paper will analyze the research and dissemination of Dostoevsky in China over the past one hundred years, and present a visualization of the trajectory of the development of Dostoevsky studies in China, the research hotspots, and the studies of the representative scholars, to outline the course and appearance, as well as characteristics and routines, of the development of Dostoevsky studies of in China. (shrink)

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Existing research on leader humility primarily demonstrates its positive effects. This study challenges this view by proposing the potential negative effects of leader humility on followers’ behaviors. Furthermore, this paper employs the person-situation interactionist perspective to extend the research on integrating followers’ personality traits and leader humility. Specifically, this study proposed that leader humility triggers their followers’ sense of power; moreover, this study wagers that whether followers’ sense of power encourages self-interested or prosocial behavior in followers depends on their particular (...) Machiavellian traits. The theoretical model was tested using the time-lagged supervisor–subordinate matched data obtained. Our findings revealed that follower Machiavellianism fosters the relationship between a sense of power and self-interested behavior but it weakens the relationship between a sense of power and prosocial behavior. Thus, this study provides a better understanding regarding the effect of follower personality and leader humility on follower behavioral reactions. (shrink)

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With increased global competition and the advent of the knowledge economy, developing graduate students’ ability to innovate in their research has become a core focus of graduate education. Graduate students’ perceived help and assistance from supervisors is one of the key resources for research innovation. This study explored the relationships between graduate students’ perceived supervisor support and their innovative behavior in research, and examined the mediation effect of creative self-efficacy, their confidence in abilities to generate creative ideas or produce creative (...) outcomes. Survey data were collected from a sample of 996 Chinese graduate students. The results revealed that academic support was negatively related to idea generation and idea search; personal support was positively related to overcoming obstacles; autonomy support was positively related to all factors of innovative behavior except overcoming obstacles and innovation outputs. The mediation analysis suggested that creative self-efficacy significantly mediated the relationship between academic support and graduate students’ innovative behavior in research. The results of this study highlight the significance of both supervisor support and creative self-efficacy in developing graduate students’ research innovation. The findings have significant implications for stimulating students’ research innovation and for improving the quality of graduate education. (shrink)

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Cross-shareholding is a new type of strategic means for capital operation and is an important component of corporate governance. With the increasing complexity of business motivation, the structure of a cross-shareholding network is becoming more intricate, and it exposes various important local patterns with different economic functions. The goal of this paper is to uncover investment mechanisms and economic functions implied in cross-shareholding networks by analyzing the local characteristic patterns of company interactions. In this paper, we construct the CSNs of (...) listed companies and extract the directed triadic motifs to reveal the evolutionary characteristics of local investment patterns at the company and industry levels. On the company level, we find that companies tend to form V-shaped structures with other companies, but bidirectional shareholding patterns and circular relationships in the triads are scarce. On the industry level, we identify the characteristic linking patterns of some industries with a role analysis of the industries. Furthermore, we detect the evolutionary characteristics of industry interrelationships in three implied patterns. Such a motif evolution analysis may provide valuable information for investors and supervisory departments that make decisions about investment portfolios and policy. Meanwhile, this study is also helpful for exploring the implied information in other empirical networks. (shrink)

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In translating and editing Dai Qing's Zawen [Piquant Essays], we have tried to retain the author's original if somewhat disjointed style. This includes Dai Qing's tendency to combine the main narrative with quick asides on related issues that may occasionally confuse the reader. Dai Qing's original notes appear as footnotes on the bottom of a page on which they are referenced. Additional explanatory notes provided by the translators are placed at the end of each essay. These notes help to clarify (...) for the reader the most obscure events, personages, and Chinese terminology. We have kept these to a minimum to prevent unnecessary interruptions to Ms. Dai's free-flowing narrative and to retain the original quality of the essays, thereby avoiding undue elaborations and explications for the unacquainted. The essays are presented in no particular chronological order; some have been dated by Dai Qing and others not. (shrink)

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Risk prediction in emergency medicine (EM) holds unique challenges due to issues surrounding urgency, blurry research-practise distinctions, and the high-pressure environment in emergency departments (ED). Artificial intelligence (AI) risk prediction tools have been developed with the aim of streamlining triaging processes and mitigating perennial issues affecting EDs globally, such as overcrowding and delays. The implementation of these tools is complicated by the potential risks associated with over-triage and under-triage, untraceable false positives, as well as the potential for the biases of (...) healthcare professionals toward technology leading to the incorrect usage of such tools. This paper explores risk surrounding these issues in an analysis of a case study involving a machine learning triage tool called the Score for Emergency Risk Prediction (SERP) in Singapore. This tool is used for estimating mortality risk in presentation at the ED. After two successful retrospective studies demonstrating SERP’s strong predictive accuracy, researchers decided that the pre-implementation randomised controlled trial (RCT) would not be feasible due to how the tool interacts with clinical judgement, complicating the blinded arm of the trial. This led them to consider other methods of testing SERP’s real-world capabilities, such as ongoing-evaluation type studies. We discuss the outcomes of a risk–benefit analysis to argue that the proposed implementation strategy is ethically appropriate and aligns with improvement-focused and systemic approaches to implementation, especially the learning health systems framework (LHS) to ensure safety, efficacy, and ongoing learning. (shrink)

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BackgroundThe effects of psychological interventions on symptoms and psychology of functional dyspepsia remain unclear. We aimed to comprehensively evaluate the effects of psychological interventions on symptoms and psychology of FD.MethodsWe searched the PubMed, Cochrane Library, and Embase electronic databases for randomized controlled trials evaluating the role of psychological interventions in FD patients published before July 2021. Standardized mean differences, risk ratios and 95% confidence intervals were calculated by a random effects model. Subgroup analyses and sensitivity analyses were also performed.ResultsFourteen RCTs (...) with a total of 1,434 FD patients were included. Compared with the control group, psychological interventions were significantly more likely to symptom improvement [RR = 1.74, 95% CI, p = 0.01], relieve gastrointestinal symptoms scores at follow up [SMD = −1.06, 95% CI, p< 0.0001], relieve gastrointestinal symptoms scores at end of treatment [SMD = −0.98, 95% CI, p< 0.001], decrease anxiety [SMD = −0.8, 95% CI, p = 0.006] and depression levels [SMD = −1.11, 95% CI, p< 0.001]. The results of the subgroup analysis showed that psychotherapy was more likely to symptom improvement, relieve gastrointestinal symptoms scores and decreased depression levels compared to the control.ConclusionsPsychological interventions may be effective in alleviating the symptoms and psychology of FD, but the effect appears to be limited to psychotherapy with fewer trials for other psychological interventions. More data from high-quality RCTs are needed to confirm their use in the treatment of FD. (shrink)

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