Perception of time plays a fundamental role in human social activities, and it can be influenced in social situations by various factors, including facial attractiveness. However, in the eyes of observers of different genders, the attractiveness of a face varies. The current study aimed to explore whether gender modulates the effect of facial attractiveness on perception of time. To account for individual differences in aesthetic standards, the critical stimuli presented to each participant were selected from an image pool based on (...) the participant’s own attractiveness judgments. Using a temporal reproduction task, we measured the perception of time by men and women during viewing of faces of different attractiveness and gender. The results show that attractive opposite-sex faces elicited longer reproduced durations in men than unattractive opposite-sex faces, while facial attractiveness did not affect men’s reproduced durations in the case of same-sex faces. Conversely, women exhibited longer reproduced durations for attractive faces than for unattractive faces, regardless of facial gender. These results suggest that gender difference plays an important role in the effect of facial attractiveness on time perception. (shrink)

In this paper, I provide policymakers, who rely on science to address their missions, with two arguments for improving science for social benefits. I argue for a refined concept of social robustness that can distinguish socially appropriate cases of political reliance on science from inappropriate ones. Both of the constituents are essential for evaluating the social suitability of science-relevant policy or action. Using four cases of population control, I show that socially inappropriate political reliance on science can make science epistemically (...) and socially harmful. Moreover, I argue that such an evaluation process should be supported by a political culture of mutual criticism within science and society. This demands freedom of expression and critical examination of science-relevant policy consequences in view of a sufficiently wide range of social value commitments. This paper suggests that the same considerations of social robustness and political culture of mutual criticism should be of general relevance for policymakers engaging in debates about science and values such as those regarding climate change. (shrink)

Atmospheric pollution is deteriorating, which has affected the evolution of respiratory disease for the exposed human worldwide. Thus, exploring the influence of air pollution on the evolution of disease transmission dynamics is a significant issue. In this article, a stochastic susceptible-infective epidemic model in a polluted atmospheric environment is investigated. The existence and uniqueness of the global positive solution are established. In virtue of the aggregation methods and Lyapunov function, the sufficient conditions of disease extinction, persistence, and existence of the (...) stationary distribution are established, respectively. TakingPM2.5concentration as the air pollutant index, numerical simulations are carried out to support these results. Our results indicated that the disease transmission dynamics are significantly associated with the environmental atmospheric pollution and fluctuation. (shrink)

When navigating in a new environment, it is typical for people to resort to external guidance such as GPS, or people. However, in the real world, even though navigators have learned the route, they may still prefer to travel with external guidance. We explored how the availability of feedback and the source of external guidance affect navigation decision-making on experienced routes in the presence of external guidance. In three experiments, participants navigated a simulated route three times and then verbally confirmed (...) that they had learned it. They then travelled the same route again, accompanied with no, correct, or incorrect direction guidance, which latter two were provided by a GPS (Exp.1), a stranger (Exp.2), or a friend (Exp.3). Half of the participants received immediate feedback on their navigation decisions, while the other half without feedback did not know if they had selected the correct directions. Generally, without feedback, participants relied on external guidance, regardless of the direction sources. Results also showed that participants trusted the GPS the most, but performed best with their friends as a direction source. With feedback, participants did not show differences in performance between the correct and incorrect guidance conditions, indicating that feedback plays a critical role in evaluating the reliability of external guidance. Our findings suggest that incorrect guidance without any feedback might disturb navigation decision-making, which was further moderated by the perceived credibility of direction sources. We discuss these results within the context of navigation decision-making theory and consider implications for wayfinding behaviors as a social activity. (shrink)

Reluctance to adopt mask-wearing as a preventive measure is widely observed in many Western societies since the beginning of the COVID-19 pandemics. This reluctance toward mask adoption, like any other complex social phenomena, will have multiple causes. Plausible explanations have been identified, including political polarization, skepticism about media reports and the authority of public health agencies, and concerns over liberty, amongst others. In this paper, we propose potential explanations hitherto unnoticed, based on the framework of epistemic injustice. We show how (...) testimonial injustice and hermeneutical injustice may be at work to shape the reluctant mask adoption at both the societal and individual levels. We end by suggesting how overcoming these epistemic injustices can benefit the global community in this challenging situation and in the future. (shrink)

Drawing from the stimulus-organism-response model, this study examines how and under what circumstances perceived environmental corporate social responsibility affects innovative behavior of employees in the context of environmental protection. Using a sample of 398 employees from different firms in the high energy-consuming industry of China, the results indicate that, at first, perceived ECSR provides a positive effect on organizational identification. Secondly, organizational identification has a positive influence on the innovative behavior of employees. Thirdly, organizational identification plays an important mediating effect (...) between perceived ECSR and the innovative behavior of employees. Fourthly, both the effect of perceived ECSR on organizational identification and the indirect effect of perceived ECSR on the innovative behavior of the employees via organizational identification will be stronger when the levels of organizational trust are high. These findings add new insights into the perceived ECSR-employees’ innovative behavior relationship and provide important managerial implications for enhancing ECSR perception to improve the innovative behavior of employees. (shrink)

This paper argues that the value of openness to epistemic plurality and the value of social responsiveness are essential for epistemic agents such as scientists who are expected to carry out non-epistemic missions. My chief philosophical claim is that the two values should play a joint role in their communication about earthquake-related damages when their knowledge claims are advisory. That said, I try to defend a minimal normative account of science in the context of communication. I show that these epistemic (...) agents when acting as communicators may encounter various epistemic and practical uncertainties in making their knowledge claims. Using four vignettes, I show that the value of openness to epistemic plurality and the value of social responsiveness may best serve their epistemic and practical purposes across different contexts by reducing their epistemic and practical risks associated with the knowledge claims they communicated. The former may reduce the risks of prematurely excluding epistemic alternatives and is conducive to two types of epistemic plurality; the latter is supposed to reduce the risks of making self-defeating advisory claims and harmful wishful speaking by minimizing the values in tension that can be embedded in the social roles the epistemic agents play. (shrink)

ObjectiveTo investigate the attitudes of Chinese parents regarding the storage of dried blood spots collected for newborn screening (NBS) and their use in research.MethodsWe conducted a hospital-based survey of parents and examined parental attitudes regarding (a) allowing NBS sample storage, (b) permitting use of children’s NBS samples for research with parental permission, and (c) permitting use of children’s NBS samples for research without parental permission.ResultsThe response rate was 52 percent. Of parents surveyed, 68 percent would permit their infant’s NBS sample (...) to be stored for at least some length of time. If permission is obtained, 69 percent of parents “strongly agreed” or “agreed” to permit use of the NBS sample for research. If permission is not obtained, only 14 percent of parents “strongly agreed” or “agreed.” There was no significant association between permitting use of NBS samples for research and parental gender, education, household income, number of children, or site of residence.ConclusionsThis is the first survey of Chinese parents regarding the use of NBS samples for different types of research, with results indicating that most parents would permit their infant’s sample to be stored and would support the use of NBS dried blood spots for research purposes. (shrink)

Exploring the amplitude modulation phenomenon of chaotic signal has become a subject of great concern in recent years. This paper mainly concentrates on the preliminary study on amplitude modulation principle of a chaotic system. First, two 3D chaotic systems with quadratic product terms are introduced for studying the amplitude modulation phenomenon of chaotic signal. It is found that the signal amplitude of the first system can be controlled by partial quadratic coefficient. But for the second system, none of nonlinear coefficient (...) can be employed to control the signal amplitude. Then, the amplitude modulation principle of chaotic system is preliminarily studied by exploring the intrinsic relationship between nonzero equilibrium point and phase space trajectory, and it is further validated by introducing unified parameter to the two 3D chaotic systems. As a necessary condition, the principle provides a feasible and simple method for constructing and analyzing an amplitude modulation chaotic system. (shrink)

The Depression Anxiety Stress Scale-21 is an instrument in the assessment of mental health status. The current study recruited 1,532 Chinese hospital workers [74.4% female; mean age = 31.97 years] to examine the reliability, latent structure, and measurement invariance of the DASS-21 between genders. The Cronbach’s α values were greater than 0.90 for total score. This study examined four possible models of the DASS-21 using the confirmatory factor analysis in Chinese hospital workers. The results from CFA revealed that the latent (...) structure of the DASS-21 in medical staffs is best represented by a one-factor model. Then we used the one-factor model to examine measurement invariance across genders by using a multiple-group categorical CFA. All values of root mean square error approximation were less than 0.08, all Comparative Fix Index and Tucker–Lewis Index values were greater than 0.90, all ΔCFI values were less than 0.010, and ΔRMSEA were less than 0.015. These findings supported the gender invariance of the DASS-21 among Chinese hospital workers. (shrink)

Wicked problems’ are tricky to solve because of their many interconnected components and a lack of any single optimal solution. At the science–policy interface, all problems can look wicked: research exposes the complexity that is relevant to designing, executing and implementing policy fit for ambitious human needs. Expertise in philosophical research can help to navigate that complexity.

While the effect of culture on finance and management has been well documented in the literature, it is unclear whether and by which channel(s) ethnic diversity affects corporate social responsibility (CSR). Integrating social identity theory and neo-institutional theory, we investigate the ethnic diversity–CSR relation and explore potential mechanisms and boundary conditions. Based on the distribution of ethnic groups across different regions in China, We find that ethnic diversity negatively affects firms’ CSR performance. We document that social trust mediates the negative (...) ethnic diversity–CSR relationship, and linguistic diversity strengthens and marketization mitigates this relation. The results are robust for potential endogeneity and alternative measures of ethnic diversity and CSR performance. Our study highlights the impact of ethnic diversity on corporate behaviors, and provides practical and ethical implications on CSR promotion. (shrink)

The lack of a standardized reliable and valid instrument makes it difficult to measure attitudes toward lesbian women and gay men consistently and thus poses a challenge to compare and contrast intervention measures. This study aimed to validate Herek’s ATLG scale among undergraduates in mainland China and identify factors associated with negative attitudes toward LG. A total of 6,036 eligible undergraduates conveniently drawn from 30 provinces across mainland China were randomly split in half. Item analysis was first used to select (...) unrelated or redundant items for deletion. Exploratory factor analysis were then conducted on the first half of the sample, followed by confirmatory factor analysis and reliability analysis in the second half. Logistic regression analyses were finally carried out to identify their determinants. Six items were removed from the item analysis. EFA supported the existence of two factors. CFA results indicated that the two-factor model fit the data better than the one-factor model. Logistic regression analyses indicated that being female, majoring in non-health-related disciplines, attributing homosexuality to uncontrollable causes, non-adherence to traditional gender norms and exposure to homosexual content were significantly associated with less negative attitudes toward both L and G. Urban students were marginally less likely to express negative attitudes toward L but not G, while non-heterosexuals and those who had prior personal contact with homosexuals exhibited less negative attitudes toward G but not L. However, grade showed no significant associations with either ATL or ATG. The retained 14-item version of Herek’s ATLG scale has been proven to be a reliable and valid tool. Furthermore, ATL and ATG were determined by different factors and thus would be treated separately. In order to reduce negative attitudes toward LG among undergraduates in mainland China, a comprehensive intervention plan such as conducting comprehensive sex education and pushing the process of legalizing same-sex marriage should be designed, implemented and evaluated. (shrink)

COVID-19 often manifests with different outcomes in different patients, highlighting the complexity of the host-pathogen interactions involved in manifestations of the disease at the molecular and cellular levels. In this paper, we propose a set of postulates and a framework for systematically understanding complex molecular host-pathogen interaction networks. Specifically, we first propose four host-pathogen interaction (HPI) postulates as the basis for understanding molecular and cellular host-pathogen interactions and their relations to disease outcomes. These four postulates cover the evolutionary dispositions involved (...) in HPIs, the dynamic nature of HPI outcomes, roles that HPI components may occupy leading to such outcomes, and HPI checkpoints that are critical for specific disease outcomes. Based on these postulates, an HPI Postulate and Ontology (HPIPO) framework is proposed to apply interoperable ontologies to systematically model and represent various granular details and knowledge within the scope of the HPI postulates, in a way that will support AI-ready data standardization, sharing, integration, and analysis. As a demonstration, the HPI postulates and the HPIPO framework were applied to study COVID-19 with the Coronavirus Infectious Disease Ontology (CIDO), leading to a novel approach to rational design of drug/vaccine cocktails aimed at interrupting processes occurring at critical host-coronavirus interaction checkpoints. Furthermore, the host-coronavirus protein-protein interactions (PPIs) relevant to COVID-19 were predicted and evaluated based on prior knowledge of curated PPIs and domain-domain interactions, and how such studies can be further explored with the HPI postulates and the HPIPO framework is discussed. (shrink)

Partner selection is an important aspect of the customer collaborative product innovation process and aims to select innovative customer partners from huge numbers of customers, fast and accurately. The purpose of this article is to present a quantitative partner selection method based on the complex network theory. In this method, the complex network model of the Online Community Customer Network is constructed, and network centrality is used as the initial index of customer partner selection. Then, network efficiency and delta centrality (...) are used to evaluate the effect of the index. An example is presented to reflect the feasibility and efficiency of the proposed method. Results validate the small-world and scale-free properties of the OCCN and show that betweenness centrality is the most appropriate index for partner selection in the OCCN. (shrink)

BackgroundPrehospital delay is associated with non-modifiable factors such as age, residential region, and disease severity. However, the impact of psychosocial factors especially for job burnout on prehospital decision delay is still little understood.MethodThis internet-based survey was conducted between 14 February 2021 and 5 March 2021 in China through the Wechat platform and web page. Self-designed questionnaires about the expected and actual length of prehospital decision time and the Chinese version of Maslach Burnout Inventory-General Survey, Type D Personality Scale-14, and Social (...) Support Rating Scale were applied. A total of 1,039 general participants with a history of perceptible but tolerable body discomfort were included.ResultsThe top six reasons for prehospital decision delay were: endure until self-healing, too busy to ask for leave, process for seeing a doctor too complicated, too tired after work, worry about the expenditure, and fear of being identified as with serious problem. The univariate analyses revealed that older age, type D personality, job burnout, and worrying about expenditure were associated with prolonged prehospital decision time, while engaged in medical-related job and with more social support would shorten the delay. The multivariate analysis using logistic regression model with forward selecting method showed that age [per 10 years, odds ratio 1.19, p 7 days). Mediating effects were analyzed by using bias-corrected percentile bootstrap methods. Social support was found partially mediated the relationship between the determinants and prehospital decision time. The partial mediating effect of social support accounted for 24.0% of the total effect for job burnout and 11.6% for worrying about expenditure.ConclusionPsychosocial factors have a non-negligible impact on prehospital decision delay. The crucial part of prehospital decision delay may be the lack of motivation inside. Job burnout and lack of social support, as two commonly seen features in the modern world, should be given enough consideration in disease prevention and treatment. (shrink)

本书收录的文章按照四个主题进行了编排,分别是:世界历史与世界交往、马克思主义全球化理论建构、全球化与社会主义以及全球化理论的全球化等。.

With the outbreak of the COVID-19 crisis, the public keeps getting epidemic-related information on the media. News reports on the increasing number of fatalities have exposed individuals to death, which causes negative emotional experiences such as tension, anxiety, and fear. This study aimed to investigate whether creativity could serve as an anxiety-buffer when mortality is salient. Based on previous findings, the present study utilized type of creative task and personal search for meaning as moderators. In Study 1, a 2 × (...) 2 between-subject design was utilized, and 168 subjects were randomly assigned to four experimental conditions. In Study 2, 221 subjects were recruited. The experimental procedure was similar to Study 1, except that the priming paradigm of mortality was changed and search for meaning was included as an additional moderating variable. State anxiety was measured as the dependent variable in both studies. Results of Study 1 showed that, while the benevolent creative task could buffer anxiety in the mortality salience condition, the malevolent creative task did not have the same effect. Furthermore, there was a significant interaction between mortality salience, type of creative task, and search for meaning in life on anxiety. In Study 2, the buffering function of benevolent creativity was more intense for participants with a higher level of search for meaning. Together, these findings reveal the influence of different types of creative tasks on individual anxiety levels under death priming conditions and the moderating effect of search for meaning in this relationship. Further, they suggest the need to focus on the role of creativity in terror management. (shrink)

A neural network is a model of the brain’s cognitive process, with a highly interconnected multiprocessor architecture. The neural network has incredible potential, in the view of these artificial neural networks inherently having good learning capabilities and the ability to learn different input features. Based on this, this paper proposes a new chaotic neuron model and a new chaotic neural network model. It includes a linear matrix, a sine function, and a chaotic neural network composed of three chaotic neurons. One (...) of the chaotic neurons is affected by the sine function. The network has rich chaotic dynamics and can produce multiscroll hidden chaotic attractors. This paper studied its dynamic behaviors, including bifurcation behavior, Lyapunov exponent, Poincaré surface of section, and basins of attraction. In the process of analyzing the bifurcation and the basins of attraction, it was found that the network demonstrated hidden bifurcation phenomena, and the relevant properties of the basins of attraction were obtained. Thereafter, a chaotic neural network was implemented by using FPGA, and the experiment proved that the theoretical analysis results and FPGA implementation were consistent with each other. Finally, an energy function was constructed to optimize the calculation based on the CNN in order to provide a new approach to solve the TSP problem. (shrink)

With the development of social media, advertising has migrated from traditional media to social media. Marketers are increasingly using social media’s brand pages to actively create humorous dialogue interactions with other brands for brand communication to achieve positive business outcomes. Especially brand-to-brand’s aggressive humor dialogue can also be an effective brand communication strategy. Based on benign violation theory, we have studied the influence mechanism and boundary condition of the brand-to-brand’s aggressive humor styles on consumer engagement behavioral intention in social media (...) context. Through experiments, it is indicated that low-aggressive humor could promote consumer engagement behavioral intention more than high-aggressive humor. Benign appraisal mediates the relationship between low-aggressive humor and consumer engagement behavioral intention. Furthermore, brand personality not only moderates the effect of low-aggressive humor on consumer engagement behavioral intention, but also moderates the mediating role of benign appraisal between low-aggressive humor and consumer engagement behavior intention. (shrink)

The quality and quantity of training data are crucial to the performance of a deep-learning-based brain-computer interface system. However, it is not practical to record EEG data over several long calibration sessions. A promising time- and cost-efficient solution is artificial data generation or data augmentation. Here, we proposed a DA method for the motor imagery EEG signal called brain-area-recombination. For the BAR, each sample was first separated into two ones by left/right brain channels, and the artificial samples were generated by (...) recombining the half-samples. We then designed two schemas corresponding to the single- and multi-subject scenarios. Extensive experiments using the classifier of EEGnet were conducted on two public datasets under various training set sizes. In both schemas, the BAR method can make the EEGnet have a better performance of classification. To make a comparative investigation, we selected two common DA methods, and the BAR method beat them. Further, using the proposed BAR for augmentation, EEGnet achieved up to 8.3% improvement than a typical decoding algorithm CSP-SVM, note that both the models were trained on the augmented dataset. This study shows that BAR usage can significantly improve the classification ability of deep learning to MI-EEG signals. To a certain extent, it may promote the development of deep learning technology in the field of BCI. (shrink)

Experts play a crucial role in underpinning decision-making in most management situations. While recent studies have disclosed the impacts of individuals’ inherent cognition and the external environment on expert performance, these two-dimensional mechanisms remain poorly understood. In this study, we identified 14 factors that influence expert performance in a bid evaluation and applied cross-impact matrix multiplication to examine the interdependence of the factors. The results indicate that the two dimension-related factors affect each other within a person–environment system, and a poor (...) situation perception gives rise to the deviation of expert performance. Expert performance can be improved if external supervision and expertise are strengthened through deliberate practices. The study proposes a new expert performance research tool, elucidates its mechanism in bid evaluation from a cognitive psychology perspective, and provides guidelines for its improvement in workplace contexts. (shrink)

How to make use of the leaders’ psychological capital to improve the innovation behavior of employees is an important issue for the talent management of enterprises today, and it is also the goal that enterprises must pursue if they want to stand out in the fierce competition. Therefore, in this study, 154 enterprises in high-tech area were selected for questionnaire survey. The correlation between lead-member exchange (LMX) relationship (emotion, loyalty, contribution, professional respect), leaders' psychological capital (confidence, hope, optimism, tenacity), and (...) employees' innovation behaviors were analyzed by multivariate regression. Hierarchical regression method was used to examine the mediating effect of the LEX. It was found that confidence, toughness, and contribution were significantly positively correlated with employee innovation behavior (P<0.000). The positive correlation between hope, optimism, emotion, and loyalty with employees' innovation behavior was significant (P<0.05). Emotion, loyalty, and contribution had mediating effects on the leaders’ psychological capital and the innovation behavior of employees. In conclusion, the leaders’ psychological capital can have a significant positive effect on the innovation behavior of employees directly, and it can also have an indirect positive effect on the innovation behavior of employees by maintaining high quality LMX. (shrink)

Because of the lack of interaction between seeking mode cats and tracking mode cats in cat swarm optimization, its convergence speed and convergence accuracy are affected. An information interaction strategy is designed between seeking mode cats and tracking mode cats to improve the convergence speed of the CSO. To increase the diversity of each cat, a top-N learning strategy is proposed during the tracking process of tracking mode cats to improve the convergence accuracy of the CSO. On ten standard test (...) functions, the average values, standard deviations, and optimal values of the proposed algorithm with different N values are compared with the original CSO algorithm and the adaptive cat swarm algorithm based on dynamic search. Experimental results show that the global search ability and the convergence speed of the proposed algorithm are significantly improved on all test functions. The proposed two strategies will improve the convergence accuracy and convergence speed of CSO greatly. (shrink)

This study investigates how managers in firms that have committed fraud strategically use socially responsible activities in coordination with their fraudulent financial reporting practices. Using propensity score matching to select control firms that have a similar probability of fraud in the pre-fraud benchmark period, we find that the corporate social responsibility performance of fraudulent firms in the fraud-committing period is significantly higher compared with the CSR performance of non-fraudulent control firms during this period, and compared with that during their own (...) pre-fraud benchmark periods. This higher CSR performance by fraudulent firms is achieved by means of investing in both stakeholder and third-party CSR categories and by improving in CSR strengths. Furthermore, the increase in CSR performance is more pronounced for fraudulent firms with a weak governance environment, and for firms located in high-religiosity states. Overall, our findings suggest that fraudulent firms strategically adjust their CSR performance to coordinate with their fraudulent financial activities. (shrink)

Several functional magnetic resonance imaging studies have demonstrated abnormalities in static intra- and interhemispheric functional connectivity among diverse brain regions in patients with major depressive disorder. However, the dynamic changes in intra- and interhemispheric functional connectivity patterns in patients with MDD remain unclear. Fifty-eight first-episode, drug-naive patients with MDD and 48 age-, sex-, and education level-matched healthy controls underwent resting-state fMRI. Whole-brain functional connectivity, analyzed using the functional connectivity density approach, was decomposed into ipsilateral and contralateral functional connectivity. We computed (...) the intra- and interhemispheric dynamic FCD using a sliding window analysis to capture the dynamic patterns of functional connectivity. The temporal variability in functional connectivity was quantified as the variance of the dFCD over time. In addition, intra- and interhemispheric static FCD patterns were calculated. Associations between the dFCD variance and sFCD in abnormal brain regions and the severity of depressive symptoms were analyzed. Compared to HCs, patients with MDD showed lower interhemispheric dFCD variability in the inferior/middle frontal gyrus and decreased sFCD in the medial prefrontal cortex/anterior cingulate cortex and posterior cingulate cortex/precuneus in both intra- and interhemispheric comparisons. No significant correlations were found between any abnormal dFCD variance or sFCD at the intra- and interhemispheric levels and the severity of depressive symptoms. Our results suggest intra- and interhemispheric functional connectivity alterations in the dorsolateral prefrontal cortex and default mode network regions involved in cognition, execution and emotion. Furthermore, our study emphasizes the essential role of altered interhemispheric communication dynamics in the DLPFC in patients with MDD. These findings contribute to our understanding of the pathophysiology of MDD. (shrink)