As teams of people increasingly incorporate robot members, it is essential to consider how a robot's actions may influence the team's social dynamics and interactions. In this work, we investigated the effects of verbal support from a robot on human team members' interactions related to psychological safety and inclusion. We conducted a between-subjects experiment where the robot team member either gave verbal support or did not give verbal support to the human team members of a human-robot team comprised of 2 (...) human ingroup members, 1 human outgroup member, and 1 robot. We found that targeted support from the robot had a positive effect on outgroup members, who increased their verbal participation after receiving targeted support from the robot. When comparing groups that did and did not have verbal support from the robot, we found that outgroup members received fewer verbal backchannels from ingroup members if their group had robot verbal support. These results suggest that verbal support from a robot may have some direct benefits to outgroup members but may also reduce the obligation ingroup members feel to support the verbal contributions of outgroup members. (shrink)

With the high frequency and intensity of worldwide disasters, cause-related marketing campaigns with sudden disasters are becoming increasingly popular. However, little is known about whether and how cause acuteness may influence consumer attitudes. This research aims to extend this research area through investigating the relationship between cause acuteness and consumer attitudes toward the product, as well as its underlying mechanism and boundary conditions. Based on a moral psychology perspective, we propose a theoretical model focusing on the mediating role of moral (...) elevation in influencing consumer attitudes. This model also incorporates product-cause fit and information transparency as moderators underpinning necessary conditions that are likely to lead to positive consumer attitudes. Four empirical studies were conducted to test our model. Our research results reveal that consumers have more positive attitudes toward the product associated with a sudden disaster than with an ongoing tragedy. Furthermore, the positive effect of cause acuteness on consumer attitudes is mediated by enhanced moral elevation, which occurs under the conditions of high product-cause fit and high information transparency. (shrink)

BackgroundPublished data and practice recommendations on end-of-life care generally reflect Western practice frameworks; there are limited data on withdrawal of treatment for children in China.MethodsWithdrawal of treatment for children in the pediatric intensive care unit of a regional children’s hospital in eastern China from 2006 to 2017 was studied retrospectively. Withdrawal of treatment was categorized as medical withdrawal or premature withdrawal. The guardian’s self-reported reasons for abandoning the child’s treatment were recorded from 2011.ResultsThe incidence of withdrawal of treatment for children (...) in the PICU decreased significantly; for premature withdrawal the 3-year average of 15.1% in 2006–2008 decreased to 1.9% in 2015–2017. The overall incidence of withdrawal of care reduced over the time period, and withdrawal of therapy by guardians was the main contributor to the overall reduction. The median age of children for whom treatment was withdrawn increased from 14.5 months in 2006 to 40.5 months in 2017. Among the reasons given by guardians of children whose treatment was withdrawn in 2011–2017, “illness is too severe” ranked first, accounting for 66.3%, followed by “condition has been improved”. Only a few guardians ascribed treatment withdrawal to economic reasons.ConclusionsThe frequency of withdrawal of medical therapy has changed over time in this children’s hospital PICU, and parental decision-making has been a large part of the change. (shrink)

The explosion of multiomics data poses new challenges to existing data mining methods. Joint analysis of multiomics data can make the best of the complementary information that is provided by different types of data. Therefore, they can more accurately explore the biological mechanism of diseases. In this article, two forms of joint nonnegative matrix factorization based on the sparse and graph Laplacian regularization method are proposed. In the method, the graph regularization constraint can preserve the local geometric structure of data. (...) L 2,1 -norm regularization can enhance the sparsity among the rows and remove redundant features in the data. First, SG-jNMF1 projects multiomics data into a common subspace and applies the multiomics fusion characteristic matrix to mine the important information closely related to diseases. Second, multiomics data of the same disease are mapped into the common sample space by SG-jNMF2, and the cluster structures are detected clearly. Experimental results show that SG-jNMF can achieve significant improvement in sample clustering compared with existing joint analysis frameworks. SG-jNMF also effectively integrates multiomics data to identify co-differentially expressed genes. SG-jNMF provides an efficient integrative analysis method for mining the biological information hidden in heterogeneous multiomics data. (shrink)

ObjectiveThis study explores the relationship between physical exercise and school adaptation of junior middle school students and constructs a chain intermediary model through the intermediary role of psychological resilience and sports learning motivation.MethodsUsing the stratified cluster sampling method, 930 junior middle school students in Anhui Province were measured in group psychology by using the physical exercise rating scale, adolescent psychological resilience scale, physical learning motivation scale and school adaptation scale. The statistical software SPSS 23.0 and process plug-in were used for (...) statistical processing, and the common method deviation test was carried out by Harman single-factor control method. Finally, the bootstrap sampling test method and process plug-in were used to test the significance of intermediary effect.Results The direct prediction effect of physical exercise on school adaptation is remarkable ; psychological resilience and sports learning motivation are the intermediary variables of the relationship between physical exercise and school adaptation; psychological resilience and sports learning motivation play a chain mediation role in the relationship between physical exercise and school adaptation. The intermediary effect is composed of three indirect effects: physical exercise → psychological resilience → school adaptation, physical exercise → physical learning motivation → school adaptation, physical exercise → psychological resilience → physical learning motivation → school adaptation.ConclusionsPhysical exercise can directly improve the school adaptation of junior middle school students, which can also affect junior middle school students’ school adaptation indirectly through psychological resilience or sports learning motivation, and it can influence school adaptation through the chain mediation of psychological resilience and sports learning motivation. (shrink)

Religious beliefs in Chinese cultural background, especially in Chinese secular society, have rarely been systematically investigated. The nonreligious-based population in China endorses certain supernatural beliefs or has related transcendent experience, even though they usually claim themselves as non-believers. Therefore, the current research examined the spirituality-prosociality association in Chinese secular background, demonstrating how spiritual connection with the transcendence related to individual secular social life. A total of 440 Chinese participants completed our questionnaires in three survey studies. The results showed that: 1) (...) for the nonreligious-based population in China, spirituality was positively connected with personal prosocial trait, prosocial attitude, and prosocial behavior; 2) the prosocial trait of compassionate love partially mediated the association between spirituality and daily prosocial expenses on time and money; and 3) personal emphasis on moral principles such as ultimate justice beliefs partially mediated the association between spirituality and interpersonal altruism in organizational settings. Limitations and future directions were discussed. (shrink)

This study examines whether and how board gender diversity can affect corporate wage inequity by drawing on diversity theory and gender socialization and ethicality theories. Building on an exogenous relaxation of China’s one-child policy (OCP) in 2013, which led to a substantial decline in the female labor force participation rate. Our empirical analysis suggests that board gender diversity is negatively associated with corporate wage inequity. This result is robust to various endogeneity and sensitivity analyses. We find that the OCP relaxation (...) only increases average executive pay; it does not affect employee pay. One potential mechanism driving our results is that the decline in board gender diversity caused by the OCP relaxation reduces supervision, restriction, and fairness within the firm, which increases executives’ pursuit of personal interests and ultimately leads to the rise of wage inequity. Our findings are particularly significant for firms in capital-intensive industries, firms with a low level of employee bargaining power, and large firms. (shrink)

Due to the outbreak of the Coronavirus Disease-2019 pandemic and consequent confinement measures, young people are vulnerable to mental health problems. The current study compared a group of 440 young adolescents and a group of 330 emerging adults to investigate the extent to which perceived social support and psychological capital were differentially associated with mental health problems. Participants were asked to report their current psychosocial adaptation status during the COVID-19 pandemic, and data were collected via online questionnaires during a relatively (...) severe period of COVID-19 in China. Results of the multi-group path analysis indicated that the effect of perceived social support on mental health problems was mediated by PsyCap for young adolescents, but not for emerging adults. These results were discussed with respect to the mechanism of how social support and PsyCap serve as protective mental health factors for youth in the context of the COVID-19 pandemic. (shrink)

The information in the working environment of industrial Internet is characterized by diversity, semantics, hierarchy, and relevance. However, the existing representation methods of environmental information mostly emphasize the concepts and relationships in the environment and have an insufficient understanding of the items and relationships at the instance level. There are also some problems such as low visualization of knowledge representation, poor human-machine interaction ability, insufficient knowledge reasoning ability, and slow knowledge search speed, which cannot meet the needs of intelligent and (...) personalized service. Based on this, this paper designs a cognitive information representation model based on a knowledge graph, which combines the perceptual information of industrial robot ontology with semantic description information such as functional attributes obtained from the Internet to form a structured and logically reasoned cognitive knowledge graph including perception layer and cognition layer. Aiming at the problem that the data sources of the knowledge base for constructing the cognitive knowledge graph are wide and heterogeneous, and there are entity semantic differences and knowledge system differences among different data sources, a multimodal entity semantic fusion model based on vector features and a system fusion framework based on HowNet are designed, and the environment description information such as object semantics, attributes, relations, spatial location, and context acquired by industrial robots and their own state information are unified and standardized. The automatic representation of robot perceived information is realized, and the universality, systematicness, and intuition of robot cognitive information representation are enhanced, so that the cognition reasoning ability and knowledge retrieval efficiency of robots in the industrial Internet environment can be effectively improved. (shrink)

Solvency assessment is the core content of insurance supervision. In this paper, from the perspective of capital flow, the insurance company’s capital flow is regarded as a dynamic system, the stochastic differential equations model is established to describe its flow characteristics, and the existence of positive equilibrium point of the system is proved, as well as the conditions of stability at equilibrium point, that is, the requirements of the insurance company’s solvency. Furthermore, by using the numerical simulation method, we get (...) the strategy of insurance companies to deal with the solvency shortage when facing the change of external environment, and the strategy of insurance company to deal with solvency shortage is obtained. (shrink)

Objective: The objective of this study was to evaluate the psychometric properties of the Chinese version of the decision regret scale. Methods: The data of 704 patients who completed the DRSc were used for the analyses. We evaluated the construct, convergent/discriminant, and known-group validity; internal consistency and test–retest reliability; and the item invariance of the DRSc. A receiver operating characteristic curve was employed to confirm the optimal cutoff point of the scale. Results: A confirmatory factor analysis indicated that a one-factor (...) model fits the data. The internal consistency and test–retest reliability [intraclass correlation coefficient = 0.71] of the DRSc were acceptable. The DRSc demonstrated unidimensionality and invariance for use across the sexes. It was confirmed that an optimal cutoff point of 25 could discriminate between patients with high and low decisional regret during clinical practice. Conclusion: The DRSc is a parsimonious instrument that can be used to measure the uncertainty inherent in medical decisions. It can be employed to provide knowledge, offer support, and elicit patient preferences in an attempt to promote shared decision-making. (shrink)

This study examines the impact of non-executive employee stock ownership plans (ESOP) on corporate environmental engagement. We show that granting ESOPs to non-executive employees promotes greater corporate ecological engagement from the perspectives of environmental protection expenditures, environmental information disclosure quality, and environmental, social, and governance (ESG) ratings. ESOPs unite members in a common interest, empowering them to put pressure on management to reduce carbon emissions, which benefits their physical wellbeing and increases their residual interest in long-term corporate wealth. Further, our (...) analysis reveals that companies investing in environmental protection forgo short-term profit as a consequence of high initial costs, while increasing long-term firm value. These positive effects are attributable to ESOP schemes with higher employee subscription rates, those granted to a larger number of non-executive employees, and those with longer validity periods of ownership, whose incentive effect is sufficiently powerful to offset the free-rider problem. In addition, the impact of ESOPs is more pronounced in companies with greater media exposure, those confronting intense labor market competition, and those in heavily polluting industries. Fundamentally, our study provides novel evidence of the incentive effect of ESOPs on corporate environmental engagement and of stakeholder dynamics driving the implementation of carbon reduction strategies. (shrink)

The unethical behavior of a business founder often leads to negative publicity which substantially affects positive corporate image. The amount of negative publicity relating to business founders’ unethical behavior is on the rise in the age of online social media in China. Based on the stimulus–response theory and balance theory, this paper developed a theoretical model to examine how negative publicity about a business founder’s unethical behavior affects corporate image. The proposed model was tested by the partial least squares technique. (...) Results show that perceived severity, publicity intensity and recovery performance are predictors of corporate image: perceived severity has a negative impact on positive corporate image; publicity intensity and recovery performance have positive impacts on positive corporate image; and founder image mediates the relationships between the three predictors and corporate image. Moreover, initial consumer impression of business founders has a positive impact on positive corporate image. (shrink)

In the human-computer interaction, electroencephalogram access for automatic emotion recognition is an effective way for robot brains to perceive human behavior. In order to improve the accuracy of the emotion recognition, a method of EEG access for emotion recognition based on a deep hybrid network was proposed in this paper. Firstly, the collected EEG was decomposed into four frequency band signals, and the multiscale sample entropy features of each frequency band were extracted. Secondly, the constructed 3D MSE feature matrices were (...) fed into a deep hybrid network for autonomous learning. The deep hybrid network was composed of a continuous convolutional neural network and hidden Markov models. Lastly, HMMs trained with multiple observation sequences were used to replace the artificial neural network classifier in the CNN, and the emotion recognition task was completed by HMM classifiers. The proposed method was applied to the DEAP dataset for emotion recognition experiments, and the average accuracy could achieve 79.77% on arousal, 83.09% on valence, and 81.83% on dominance. Compared with the latest related methods, the accuracy was improved by 0.99% on valence and 14.58% on dominance, which verified the effectiveness of the proposed method. (shrink)

Male sexual arousal (SA) has been known as a multidimensional experience involving closely interrelated and coordinated neurobehavioral components that rely on widespread brain regions. Recent functional neuroimaging studies have shown relation between abnormal/altered dynamics in these circuits and male sexual dysfunction. However, alterations in the topological1 organization of structural brain networks in male sexual dysfunction are still unclear. Here, we used graph theory2 to investigate the topological properties of large-scale structural brain networks, which were constructed using inter-regional correlations of cortical (...) thickness between 78 cortical regions (subcortical regions were not included due to the used cortical surface model) in 40 patients with psychogenic erectile dysfunction (pED) and 39 normal controls. Compared with normal controls, pED patients exhibited a less optimal global topological organization with reduced global and increased local efficiencies. Our results suggest disrupted neural integration among distant brain regions in pED patients, consistent with previous reports of impaired white matter structure and abnormal functional integrity in pED. Additionally, disrupted global network topology in pED was observed to be primarily relevant to altered subnetwork and nodal properties within the networks mediating the cognitive, motivational and inhibitory processes of male SA, possibly indicating disrupted integration of these networks in the whole brain networks and might account for pED patients’ abnormal cognitive, motivational and inhibitory processes for male SA. In total, our findings provide evidence for disrupted integrity in large-scale brain networks underlying the neurobehavioral processes of male SA in pED and provide new insights into the understanding of the pathophysiological mechanisms of pED. (shrink)

Journal of Chinese Philosophy, EarlyView.