This study aimed to investigate the status and risk factors of post-traumatic stress disorder in patients with acute myocardial infarction after emergency percutaneous coronary intervention in acute and convalescence phases. A longitudinal study design was used. Two questionnaire surveys were conducted in the acute stage of hospitalization, and 3 months after onset in patients. Logistic regression was used to analyze the risk factors for PTSD in AMI patients. The incidence of PTSD was 33.1 and 20.4% in acute and convalescent patients, (...) respectively. The risk factors related to PTSD were door-to-balloon time, left ventricular ejection fraction, smoking, anxiety, and depression. AMI patients after PCI had PTSD in the acute and convalescent stage. The findings indicate that tailored measures should be developed and carried out to prevent PTSD and improve the mental health of patients with AMI after undergoing PCI. (shrink)

Our model integrates the nativist assumption of prespecified neural structures underpinning basic emotions with the constructionist view that emotions are assembled from psychological constituents. From a dynamic systems perspective, the nervous system self-organizes in different ways at different time scales, in relation to functions served by emotions. At the evolutionary scale, brain parts and their connections are specified by selective pressures. At the scale of development, connectivity is revised through synaptic shaping. At the scale of real time, temporary networks of (...) synchronized activity mediate responses to situations. To the degree that humans share common emotional functions, neural structuration is similar across scales, giving rise to “basic” emotions. However, unique developmental and situational factors select for neural configurations mediating emotional variants. (shrink)

Conducting emotion analysis and generating users' feedback from social media platforms may help understand their emotional responses to video products, such as a documentary on the lockdown of Wuhan during COVID-19. The results of emotion analysis could be used to make further user recommendations for marketing purposes. In our study, we try to understand how users respond to a documentary through YouTube comments. We chose “The lockdown: One month in Wuhan” YouTube documentary, and applied emotion analysis as well as a (...) machine learning approach to the comments. We first cleaned the data and then introduced an emotion analysis based on the statistical characteristics and lexicon combination. After that, we applied the Latent Dirichlet Allocation topic modeling approach to further generate main topics with keywords from the comments and visualized the distribution by visualizing the topics. The result shows trust, joy, and anticipation are the most prominent emotions dominating the comments. The major three themes, which account for 70% of all comments, are discussing stories about fighting against the virus, medical workers being heroes, and medical workers being respected. Further discussion has been conducted on the changing of different sentiments over time for the ongoing health crisis. This study proves that emotion analysis and LDA topic modeling could be used to generate explanations of users' opinions and feelings about video products, which could support user recommendations in marketing. (shrink)

Coinciding with the rising development of emerging markets, sustainable consumption practices in these markets are increasingly under scrutiny. In this context, we compare empirical results from consumers in four countries (three emerging markets and one developed market) in an experimental study to uncover patterns of preferences for sustainable luxury products (i.e., products that combine sustainability and luxury characteristics). Our findings illustrate that consumers’ quality, emotional, price, and social value perceptions, as well as purchase and electronic word-of-mouth intentions, are consistently higher (...) in all three emerging markets compared to the developed market. We find that sustainability (vs. conventional) product features increase consumers’ product value perceptions and behavioral intentions, although this effect is partially stronger for the developed compared to the emerging market(s). We further show a positive sustainability effect for luxury products, this effect is stronger for mass-market products. Combining sustainability and luxury signals leads to similar effects in emerging and developed markets. Thus, emerging markets have promise in terms of scope for incorporating sustainability characteristics into luxury products. Sustainable luxury consumption can therefore be understood as a manifestation of global consumer culture. (shrink)

This study investigates why and when employees’ observations of supervisors’ ostracism of coworkers elicit their own feelings of guilt. In this connection, observers’ silence might function as a mediator, and leader–member exchange quality could moderate the process. The tests of these predictions rely on two studies, undertaken in Pakistan: a temporally separated field study using three-wave data (N = 219) and a scenario-based experiment (N = 118). The combined results indicate that employees feel guilty for remaining silent when they witness (...) supervisor ostracism of other colleagues. The positive relationship between such observations of supervisor ostracism and silence behavior is more pronounced among employees who enjoy high-quality relationships with their supervisor. In addition to establishing key theoretical insights, this article alerts organizations to a critical mechanism (silence to avoid upsetting supervisors) by which employees’ observations of how supervisors ostracize others can escalate into their own sense of guilt. (shrink)

By PFM, we mean a finitely generated module over a principal ideal domain; a linear sentence is a sentence that contains no disjunctive and negative symbols. In this paper, we present an algorithm which decides the truth for linear sentences on a given PFM, and we discuss its time complexity. In particular, when the principal ideal domain is the ring of integers or a univariate polynomial ring over the field of rationals, the algorithm is polynomial-time. Finally, we consider some applications (...) to Abelian groups. (shrink)

Background Rapid ethical access to personal health information to support research is extremely important during pandemics, yet little is known regarding patient preferences for consent during such crises. This follow-up study sought to ascertain whether there were differences in consent preferences between pre-pandemic times compared to during Wave 1 of the COVID-19 global pandemic, and to better understand the reasons behind these preferences. Methods A total of 183 patients in the pandemic cohort completed the survey via email, and responses were (...) compared to the distinct pre-pandemic cohort ; all were patients of a large Canadian cancer center. The survey covered broad versus study-specific consent; opt-in versus opt-out contact approach; levels of comfort sharing with different recipients; perceptions of commercialization; and options to track use of information and be notified of results. Four focus groups were subsequently conducted to elucidate reasons motivating dominant preferences. Results Patients in the pandemic cohort were significantly more comfortable with sharing all information and biological samples, sharing information with the health care institution, sharing information with researchers at other hospitals, sharing PHI provincially, nationally and internationally compared to the pre-pandemic cohort. Discomfort with sharing information with commercial companies remained unchanged between the two cohorts. Significantly more pandemic cohort patients expressed a wish to track use of PHI, and to be notified of results. Thematic analysis uncovered that transparency was strongly desired on outside PHI use, particularly when commercialization was involved. Conclusions In pandemic times, patients were more comfortable sharing information with all parties, except with commercial entities, where levels of discomfort remained unchanged. Focus groups identified that the ability to track and receive results of studies using one’s PHI is an important way to reduce discomfort and increase trust. These findings meaningfully inform wider discussions on the use of personal health information for research during global crises. (shrink)

We investigate the dynamics of a nonautonomous stochastic SIS epidemic model with nonlinear incidence rate and double epidemic hypothesis. By constructing suitable stochastic Lyapunov functions and using Has’minskii theory, we prove that there exists at least one nontrivial positive periodic solution of the system. Moreover, the sufficient conditions for extinction of the disease are obtained by using the theory of nonautonomous stochastic differential equations. Finally, numerical simulations are utilized to illustrate our theoretical analysis.

To date, the value of corporate social responsibility (CSR) activities has primarily been measured through the company’s reputation, with little attention given to exploring whether there are internal influences between CSR and other management practices. We argue that the efficacy of CSR extends beyond a company’s reputation for managing social and environmental concerns; in particular, it can influence other business practices such as risk management. Our results suggest that (a) overall, firms with better CSR performance are more likely to adopt (...) integrated risk management practices and (b) CSR activities that target both primary stakeholders and secondary stakeholders are equally important in facilitating the adoption of such risk management practices. Theoretically, we contribute to the CSR literature by providing a possible mechanism for risk reduction and insurance-like effects of CSR. Practically, we provide managerial implications demonstrating that the efficacy of CSR should not be viewed in isolation of other business practices. (shrink)

Normative arrow update logic (NAUL) is a logic that combines normative temporal logic (NTL) and arrow update logic (AUL). In NAUL, norms are interpreted as arrow updates on labeled transition systems with a CTL-like logic. We show that the satisfiability problem of NAUL is decidable with a tableau method and it is in EXPSPACE.

A superheterodyne receiver is a type of device universally used in a variety of electronics and information systems. Fault detection and diagnosis for superheterodyne receivers are therefore of critical importance, especially in noise environments. A general purpose fault detection and diagnosis scheme based on observers and residual error analysis was proposed in this study. In the scheme, two generalized regression neural networks are utilized for fault detection, with one as an observer and the other as an adaptive threshold generator; faults (...) are detected by comparing the residual error and the threshold. Then, time and frequency domain features are extracted from the residual error for diagnosis. A probabilistic neural network acts as a classifier to realize the fault diagnosis. Finally, to mimic electromagnetic environments with noise interference, simulation model under different fault conditions with noise interferences is established to test the effectiveness and robustness of the proposed fault detection and diagnosis scheme. Results of the simulation experiments proved that the presented method is effective and robust in simulated electromagnetic environments. (shrink)

Background Caring behaviour is critical for nursing quality, and the clinical internship environment is a crucial setting for preparing nursing students for caring behaviours. Evidence about how to develop nursing students’ caring behaviour in the clinical environment is still emerging. However, the mechanism between the clinical internship environment and caring behaviour remains unclear, especially the mediating role of moral sensitivity and the moderating effect of self-efficacy. Research objective This study aimed to examine the mediating effect of moral sensitivity and the (...) moderating function of self-efficacy on the association between the clinical internship environment and caring behaviours. Research design A cross-sectional design used acceptable validity scales. The hypothesised moderated mediation model was tested in the SPSS PROCESS macro. Participants and research context This survey collected data from 504 nursing students in an internship at a teaching hospital in Changsha, China. Ethical considerations This study was pre-approved by the ethics committee of the medical school (No. E2022210). Informed consent was obtained from all students. Results The clinical internship environment ( B = 0.450, 95% CI = [0.371, 0.530]) and moral sensitivity ( B = 1.352, 95% CI = [1.090, 1.615]) had positive direct effects on nursing students' caring behaviours. Clinical internship environment also indirectly influenced students’ caring behaviours via moral sensitivity ( B = 0.161, 95% CI = [0.115, 0.206]). In addition, self-efficacy played a moderating role between the clinical internship environment and caring behaviours ( B = 0.019, 95% CI = [0.007, 0.031]), as well as the relationship between the clinical internship environment and moral sensitivity ( B = 0.006, 95% CI = [0.003, 0.010]). Conclusion Moral sensitivity mediates the effect of the clinical internship environment on caring behaviour, and self-efficacy strengthens both direct and indirect effects. This study emphasises the importance of self-efficacy in developing moral sensitivity and caring behaviours in nursing students. (shrink)

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

Various studies have recognized the importance of humility as a foundational aspect of virtuous leadership and have revealed the beneficial effects of leader humility on employee moral attitudes and behaviors. However, these findings may overestimate the benefits of leader humility and overlook its potential costs. Integrating person–supervisor fit theory and balance theory with the humility literature, we employ a dyadic approach to consider supervisor and employee humility simultaneously. We investigate whether and how the congruence of supervisor and employee humility influences (...) employee citizenship and deviance behaviors. We conducted a multilevel, multiphase, and multisource field study to test our hypotheses. The results of cross-level polynomial regression analyses revealed that when supervisors and employees were incongruent in humility, employees experienced higher levels of negative affect toward supervisors. Also, compared to those in low–low congruent dyads, employee negative affect toward supervisors was lower in high–high congruent dyads. The results further revealed asymmetric incongruence effects: employees experienced the highest levels of negative affect toward supervisors when their own humility was lower than their supervisors’. In addition, we found that employee negative affect toward supervisors mediated the impacts of supervisor–employee congruence in humility on employee organizational citizenship behavior and counterproductive work behavior. (shrink)

Previous studies suggested that culture have impact on students' mathematics achievement and subjective wellbeing, but few investigated the effects of culture on the balance between them. Drawing on Hofstede's cultural dimensions theory, this study investigated the effects of culture on balance between students' mathematics achievement and subjective wellbeing. Results showed the significant effects of cultural dimensions of long-term orientation vs. short-term orientation and indulgence vs. restraint. Students from countries of high long-term orientation and low indulgence culture were more likely to (...) get both high mathematics achievement and high SWB. Besides, wealth-related variables and gender were also found to influence the odds ratio of balance. The findings confirmed the effects of national culture on the balance between mathematics achievement and SWB. Based on the findings, this study discussed the effects of long-term orientation and restraint culture and Confucian heritage culture's potential benefit. The results indicate that mathematics educators should consider cultural differences in educational practice and stress the importance and meaning of mathematics learning. (shrink)

Yinyang philosophy encompasses an essential understanding of the mechanism and laws of nature, cosmos, and human society in Chinese culture, and reaches to many other parts of Asia and around the world. The purpose of this article is to explore how yinyang philosophy can serve as a philosophical underpinning of mixed methods research (MMR). In particular, harmony, one of the important features in yinyang philosophy, is applied to interpret the design of mixed methods research. Guided by this philosophy, other beliefs (...) about an integrated approach to using qualitative and quantitative methods fit in with the MMR approach. These underlying precepts are not necessarily held by researchers, and will be shown to indicate harmony and a dynamic equilibrium of yin and yang. This perspective provides a novel window for considering controversial issues that have arisen about the use of different philosophical underpinnings for MMR during its emergence over the past several decades. The implications are for a softer interpretation, for example, when selection of quantitative rules needs to harmonize with certain types of MMR, and validity of self-developed questionnaires needs to consider different levels of criteria for MMR. (shrink)

Understanding the neural basis of schizophrenia (SZ) is important for shedding light on the neurobiological mechanisms underlying this mental disorder. Structural and functional alterations in the anterior cingulate cortex (ACC), dorsolateral prefrontal cortex (DLPFC), hippocampus, and medial prefrontal cortex (MPFC) have been implicated in the neurobiology of SZ. However, the effective connectivity among them in SZ remains unclear. The current study investigated how neuronal pathways involving these regions were affected in first-episode SZ using functional magnetic resonance imaging (fMRI). Forty-nine patients (...) with a first-episode of psychosis and diagnosis of SZ—according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision—were studied. Fifty healthy controls (HCs) were included for comparison. All subjects underwent resting state fMRI. We used spectral dynamic causal modeling (DCM) to estimate directed connections among the bilateral ACC, DLPFC, hippocampus, and MPFC. We characterized the differences using Bayesian parameter averaging (BPA) in addition to classical inference (t-test). In addition to common effective connectivity in these two groups, HCs displayed widespread significant connections predominantly involved in ACC not detected in SZ patients, but SZ showed few connections. Based on BPA results, SZ patients exhibited anterior cingulate cortico-prefrontal-hippocampal hyperconnectivity, as well as ACC-related and hippocampal-dorsolateral prefrontal-medial prefrontal hypoconnectivity. In summary, spectral DCM revealed the pattern of effective connectivity involving ACC in patients with first-episode SZ. This study provides a potential link between SZ and dysfunction of ACC, creating an ideal situation to associate mechanisms behind SZ with aberrant connectivity among these cognition and emotion-related regions. (shrink)

The fire safety of industrial buildings has always been a great concern. An excellent evacuation indicator system can guide the personnel to escape quickly, thus reducing the casualties. In this study, we present a virtual simulation fire scene based on virtual reality to explore the impact of different colors, brightness values, and flashing frequencies on escape time in case of fire emergencies. The presented scene can help shorten the time required for evacuation in an industrial plant by identifying the escape (...) path under the fire and smoke environment and improve the escape efficiency. The results show that the green color is the most suitable color for evacuations; the escape efficiency increases with an increase in brightness, and there is no significant difference between the escape times under high and medium brightness; the evacuation time decreases with an increase in the flicker frequency. Based on these experimental results, the fire evacuation indicating system is designed. A virtual reality verification experiment is used to compare the escape efficiency of the improved design with an original factory’s indicating system. The verification results show that the improved scheme reduces the evacuation time and significantly improves the psychological stress on the evacuees. This work provides a theoretical basis for safe evacuation designs. (shrink)

We proposed a model to examine the relationship among different types of weight-related stigmas and their relationship to quality of life. We recruited 430 dyads of elementary school children [mean age = 10.07 years; nboy = 241 ; noverweight = 138 ] and their parents. Parents completed QoL instruments about their children assessing generic QoL and weight-related QoL. Children completed QoL instruments assessing generic QoL and weight-related QoL and stigma scales assessing experienced weight stigma, weight-related self-stigma, and perceived weight stigma. (...) Experienced weight stigma was significantly associated with perceived weight stigma, and in turn, perceived weight stigma was significantly associated with weight-related self-stigma. However, experienced weight stigma was not directly associated with weight-related self-stigma. In addition, experienced stigma was negatively associated with both child-rated and parent-rated QoL. Perceived weight stigma was associated only with parent-rated weight-related QoL but not child-rated QoL. Self-stigma was associated with child-rated QoL but not parent-rated QoL. Moreover, perceived weight stigma and weight-related self-stigma were significant mediators in the association between body weight and children's QoL; experienced weight stigma was not a significant mediator. The study findings can be used to inform healthcare providers about the relationship among different types of stigmas and their influence on child-rated and parent-rated QoL and help them develop interventions to address the global trend of overweight/obesity in youth and pediatric populations. (shrink)

Ethical voice involves individuals’ perceptions of what is right and what is wrong. Although prior research has investigated the impacts of individual-level prohibitive ethical expression on personal outcomes, there has been limited examination of ethical voice at the group level. Our study examines how and when different types of ethical voice influence group outcomes. Using data gathered from 363 participants from 61 groups in two Chinese companies, the results reveal that promotive and prohibitive ethical voices at the group level exert (...) opposing influences on group moral transitive motivation. Group moral transitive motivation serves as a mediating factor in the association between the two types of ethical voice and group ethical behaviors (GEB). In addition, group faultlines moderate the impact of promotive ethical voice and prohibitive ethical voice on group moral transitive motivation and on GEB (via group moral transitive motivation). Our study extends the focus of research from a single type of ethical voice at the individual level to multiple types at the group level. The findings contribute to the body of knowledge regarding group ethical voice (GEV) by articulating its mediating mechanism as well as its boundary condition. This research provides valuable insights for researchers and managers by offering a comprehensive understanding about the role of different types of GEV and how to reform GEV. (shrink)

This paper introduces the notion of logical quantale module. It proves that there is a dual equivalence between the category of logical quantale modules and the category of quantum B‐modules, in the way that every quantum B‐module admits a natural embedding into a logical quantale module, the enveloping quantale module.

Although related studies have examined the impact of different images of artificial intelligence products on consumer evaluation, exploring the impact on consumer purchase decisions from the perspective of algorithmic decision autonomy remains under-explored. Based on the self-determination theory, this research discusses the influence of the agent decision-making role played by different AI algorithmic decision autonomy on consumer purchase decisions. The results of the 3 studies indicate that algorithmic decision autonomy has an inverted U-shaped effect on consumer’s purchase decisions, consumer’s self-efficacy (...) mediates the relationship between algorithmic decision autonomy and purchase decisions, and consumer’s power distance moderates the relationship between algorithmic decision autonomy, self-efficacy, and purchase decisions. The research results can provide references for marketers, retailers, algorithm designers, and other parties to formulate algorithm marketing strategies, make AI algorithm decisions better serve consumers, and achieve value co-creation with consumers. (shrink)

Teachers’ teaching psychological behavior and classroom development are the current research hotspots in the field of educational psychology. How to realize the data analysis of teachers’ teaching psychological behavior and classroom development is a problem that researchers urgently need to solve. Based on the theory of data correlation analysis, this paper uses modern Internet technology and big data analysis teacher teaching system to quantitatively and qualitatively analyze the potential of students, and build a corresponding model. Through rule correlation technology, the (...) article studies various internal correlations between teachers’ teaching psychological behavior, extracts valuable information from various daily data of students through big data analysis technology, and the WEB teacher’s teaching psychological behavior analysis system based on B/S structure solves the problem that the traditional model cannot measure. In the simulation process, the system is implemented by MVC three-tier architecture, the database uses MYSQL 5.0, the prediction questionnaire is formulated on the basis of the literature method and interviews, and the scale is compiled and tested after repeated revisions. Project analysis and factor analysis are performed on the data obtained from the table test to construct and screen indicators. The experimental results show that the teacher’s classroom teaching behavior index system adopted by the system is practical and feasible, including three first-level indicators, 10 s-level indicators, and 21 third-level indicators. The system has 87.1% completeness, which effectively improves teachers’ teaching psychology. (shrink)

This paper analyses the evolutionary characteristics of the interprovincial population mobility network structure in China and explores the roles of provinces from 2010 to 2015. By constructing the interprovincial population mobility network, we examine the provinces’ functions during periods of population mobility through population mobility diversity, population mobility, and population mobility intermediation. The results show that the coverage and tightness of the interprovincial population mobility network were influenced by national economic development, increasing steadily from 2010 to 2014 and then suddenly (...) falling in 2015. The regions that played essential roles in the province’s mobility diversity and intermediation showed a dispersion trend. In contrast, areas that played a vital role in the inflows or outflows were relatively concentrated and stable. Additionally, this work further explores how economic factors, e.g., GDP, residents’ consumption levels, total population, unemployment rate, and consumer price index, are used as independent variables to analyse the provinces’ roles in the interprovincial population mobility network. The analysis shows that the inflow or outflow volumes are easily affected by the five indices. These five indices are significantly related to network role indicators to different extents. (shrink)

To improve the movie box office prediction accuracy, this paper proposes an adaptive attention with consumer sentinel for movie box office prediction. First, the influencing factors of the movie box office are analyzed. Tackling the problem of ignoring consumer groups in existing prediction models, we add consumer features and then quantitatively analyze and normalize the box office influence factors. Second, we establish an LSTM box office prediction model and inject the attention mechanism to construct an adaptive attention with consumer sentinel (...) for movie box office prediction. Finally, 10,398 pieces of movie box office dataset are used in the Kaggle competition to compare the prediction results with the LSTM-AACS model, LSTM-Attention model, and LSTM model. The results show that the relative error of LSTM-AACS prediction is 6.58%, which is lower than other models used in the experiment. (shrink)