Prior research on citizenship behavior has mainly focused on its voluntary side—organizational citizenship behavior. Unfortunately, although compulsory behavior is a global organizational phenomenon, the involuntary side of CB—compulsory citizenship behavior, defined as employees’ involuntary engagement in extra-role work activities that are beneficial to the organization : 77–93, 2006)—has long been neglected and very little is known about its potential negative consequences. Particularly, research on CCB–counterproductive work behavior association is still in its nascent stage. Therefore, drawing on moral disengagement theory and (...) social exchange theory, we firstly attempt to systematically investigate how and when CCB leads to CWB. Specifically, we see employee silence as a critical form of passive CWB and propose a moderated mediation model. In the model, CCB predicts silence through MD—a set of cognitive mechanisms that deactivate moral self-regulatory processes, with the Chinese culture-specific concept of supervisor–subordinate guanxi, which captures the supervisor–subordinate non-work-related personal ties, acting as the contextual condition. Two-wave data collected from a sample of 293 employees in 17 manufacturing firms in China supported our hypotheses. The results revealed that the more employees experienced compulsory feelings caused by CCB, the more they morally disengaged and, in turn, resorted to avoidant or passive responses as a coping strategy. Further, s–s guanxi serves as a reverse moderator in that high s–s guanxi mitigates the destructive impact of CCB, makes employees less inclined to morally disengage, and thereby largely prevents them from practicing workplace silence behavior. Implications for theory and intervention strategies for practice are discussed. We also propose several promising avenues for future research. (shrink)

Math anxiety (MA) has been suggested to decrease the math performance of students. However, it remains unclear what factors moderate this relationship. The purpose of this study was to analyze the link between MA and math performance. Studies that explored the relationship between MA and math performance, conducted from 2000 to 2019 (84 samples, N = 8680), were identified and statistically integrated with a meta-analysis method. The results indicated a robust negative correlation between MA and math performance. Furthermore, regarding the (...) analysis of moderator variables, this negative link was stronger in the studies that involved Asian students, whereas it was the weakest in the studies that involved European students. Moreover, this negative link was stronger in the studies within a senior high school group, whereas it was the weakest in the studies within an elementary group. Finally, this negative link was strongest among studies that used a custom test and studies that assessed problem-solving skills. Potential explanations and implications for research and practice are discussed. (shrink)

Agamben’s potentiality, and Chinese dao, entail experiencing movement on being. This article presents our experiments with these movements in the context of pedagogy, putting at stake our mode of existence in thinking. We examine Agamben’s potentiality as an aporetic experience in pedagogy. We find echoes of dao movement in a controversial pedagogical event in China. Interlacing potentiality and dao with our experience of pedagogical thinking, each makes the other intelligible. We show that reasonings of pedagogy in the USA and China (...) repeat the very paradoxes and exclusions they seek to overcome. We also gesture towards a way that, suspending and holding pedagogical reasoning in being empty, welcomes what cannot be learned or taught. This way also offers an example for comparative education. (shrink)

In public health emergencies, people are more willing to save money rather than spending it, which is not conductive to economic development and recovery. Due to the absence of relevant research, the internal logic of this phenomenon is not clear. In the context of the COVID-19 pandemic, this study systematically explored whether and why public health emergencies stimulate consumers' preference for saving. We conducted two online surveys and used methods including stepwise regression analysis and bootstrapping to test the hypotheses. The (...) first survey, with 1,511 participants from China in February 2020, indicates that the severity of emergencies has a significant positive impact on the populations' willingness to save. Risk perception plays a mediating role between the severity of emergencies and consumers' saving willingness. Materialism plays a moderating role between risk perception and an individual's saving willingness, individuals who are more materialistic have a lower saving willingness when they perceive the risks of the pandemic. To verify the duration of the above effects, we conducted a follow-up survey consisted of 466 instances in August 2020. It is noteworthy that the above effects are not significant during the post-pandemic period. Thus, spending behavior in public health emergencies can be motived by reducing risk perception and increasing materialism. These findings can provide a valuable inspiration for public health, crisis management, and economic recovery during public health emergencies. (shrink)

Simpson’s paradox (SP) is a statistical phenomenon where the association between two variables reverses, disappears, or emerges, after conditioning on a third variable. It has been proposed (by, e.g., Judea Pearl) that SP should be analyzed using the framework of graphical causal models (i.e., causal DAGs) in which SP is diagnosed as a symptom of confounding bias. This paper contends that this confounding-based analysis cannot fully capture SP: there are cases of SP that cannot be explained away in terms of (...) confounding. Previous works have argued that some cases of SP do not require causal analysis at all. Despite being a logically valid counterexample, we argue that this type of cases poses only a limited challenge to Pearl’s analysis of SP. In our view, a more powerful challenge to Pearl comes from cases of SP that do require causal analysis but can arise without confounding. We demonstrate with examples that accidental associations due to genetic drift, the use of inappropriate aggregate variables as causes, and interactions between units (i.e., inter-unit causation) can all give rise to SP of this type. The discussion is also extended to the amalgamation paradox (of which SP is a special form) which can occur due to the use of non-collapsible association measures, in the absence of confounding. (shrink)

Prosocial behaviors are susceptible to individuals’ preferences regarding payoffs and social context. In the present study, we combined individual differences with social influence and attempted to discover the effect of social value orientation (SVO) and social influence on prosocial behavior in a trust game and a dictator game. Prosocial behavior in the trust game could be motivated by strategic considerations whereas individuals’ decisions in the dictator game could be associated with their social preference. In the trust game, prosocials were less (...) likely than proselfs to conform to the behavior of other group members when the majority of group members distrusted the trustee. In the dictator game, the results of the three-way ANOVA indicated that, irrespective of the type of offer, in contrast to proselfs, prosocials were influenced more by others’ generous choices than their selfish choices, even if the selfish choices were beneficial to themselves. The overall results demonstrated that the effect of social influence appears to depend on individuals’ SVO: that is, prosocials tend to conform to prosocial rather than proself behaviors. (shrink)

This study aims to help enterprises enhance their innovation capabilities in the environment of knowledge economy globalization and stand out in the fierce industry competition. Firstly, data on existing higher education theories and innovation theories are analyzed. Secondly, two companies in the sample data are selected for detailed analysis. Finally, research conclusion and corresponding talent management strategies are presented. The results show that the cumulative contribution value of employees is 87.496%. The cumulative contribution value of human capital is 70.322%. The (...) contribution value of cumulative innovation performance is 61.658%. The cumulative contribution value of R&D investment is 45.306%. The coefficient for the overall sample size is 0.509. The employee quality coefficient is 0.452. The correlation coefficient for educational attainment is 0.598. The high-tech service industry has the highest correlation coefficient at 0.504. The auto industry has the highest coefficient at 0.669. The experimental research has drawn the following conclusion: Talents positively affect enterprise innovation performance; Research and Development investment has a positive correlation with enterprise innovation performance; R&D investment has a positive correlation with talents. Through experimental research, the education level of employees is measured by academic qualifications, but the essence of academic qualification measurement is the level of knowledge and skills that employees have. In summary, the study can extend the strategic analysis of the cultivation of innovative talents and play a valuable auxiliary role in cultivating innovative talents. (shrink)

Background: Previous studies have found that alexithymia plays an important role in the pathogenesis of Internet addiction. However, the effect of alexithymia on both metacognition and Internet addiction has yet to be examined.Methods: The Toronto Alexithymia Scale, Metacognition Questionnaire, and Internet Addiction Test were used to assess a sample of 356 college students. A parallel mediator effect analysis was applied to test the hypothesis that metacognition mediates the relationship between alexithymia and Internet addiction.Results: The parallel multiple mediator models showed that (...) alexithymia predicted the five dimensions of metacognition and Internet addiction, and that three dimensions—cognitive confidence, positive beliefs about worry, and the need to control thoughts—partially mediated this relationship.Conclusion: Alexithymia could directly and indirectly predict Internet addiction via metacognition. (shrink)

This study aimed to explore the influence the value modularity and a firm’s innovation performance, directly and indirectly, using knowledge management as mediating variable. Moreover, in this study, we used the resource integration ability as a moderator between the relationship value modularity and firm innovation performance. We collected data from the Chinese state-owned and state-controlled high-tech firms from 2011 to 2018. In this study, we used the gray comprehensive evaluation method to test the degree of value modularity, and hierarchical regression (...) analysis is used to analyze the relationship among variables. The outcomes of this study indicate that value modularity and firm innovation performance has inverted U-shaped and significant association. Similarly, results also confirm that knowledge acquisition and knowledge internalization mediate the relationship between value modularity and firm innovation performance. The finding of this research also confirms that resource integration ability negatively affects the relationship between value modularity and firm innovation performance. This paper enriches the research of the value modularity and gives certain inspiration to knowledge management. At the end of this study, we also suggest some significant practical implications. (shrink)

Entrepreneurship success is the ultimate goal pursued by entrepreneurs, and entrepreneurial passion is also considered an indispensable and important element on the road to entrepreneurial success. However, the internal influence mechanism of entrepreneurial passion on entrepreneurial success is still insufficient in academic circles. In view of this, based on the theory of social information processing, this research analyses the internal mechanism of entrepreneurial passion through individual psychological capital on entrepreneurial success and the promotion of external entrepreneurial policy support. Through a (...) multi-time and multi-source questionnaire survey of 455 entrepreneurs in entrepreneurship parks and entrepreneurship centers in Wuhan, Guangdong, Shanghai, and other places, the research results show that entrepreneurial passion can increase individual psychological capital and positively affect entrepreneurial success; psychological capital mediates the relationship between individual entrepreneurial passion and entrepreneurial success. Entrepreneurship policy support at the environmental level can promote the effect of entrepreneurial passion on the accumulation of psychological capital, and promote the transformation of entrepreneurial passion into entrepreneurial success through psychological capital. The above research results are helpful to the accumulation of entrepreneurs’ psychological capital and provide a useful reference for entrepreneurial success. (shrink)

In recent years, deep learning as the requirement of higher education for students has attracted the attention of many scholars, and previous studies focused on defining deep learning as the deep processing of knowledge of the brain, however, in the process of knowledge processing, the brain not only involves the deep processing of information but also participates in learning consciously and emotionally. Therefore, this research proposed a four-factor model hypothesis for deep learning that includes deep learning investment, deep cognitive-emotional experience, (...) deep information processing, and deep learning meta-cognitive. In addition, the research proposed teachers’ emotional support perceived by students has an effect on the four factors of deep learning. Through SPSS 26 and AMOS 24, this research has verified the four-factor model of deep learning applying exploratory factor analysis and confirmatory factor analysis and verified that the perceived teacher emotional support has an impact on the four factors of students’ deep learning using the SEM. (shrink)

From the end of 2018 in China, the Big-data Driven Price Discrimination (BDPD) of online consumption raised public debate on social media. To study the consumers’ attitude about the BDPD, this study constructed a semantic recognition frame to deconstruct the Affection-Behavior-Cognition (ABC) consumer attitude theory using machine learning models inclusive of the Labeled Latent Dirichlet Allocation (LDA), Long Short-Term Memory (LSTM), and Snow Natural Language Processing (NLP), based on social media comments text dataset. Similar to the questionnaires published results, this (...) article verified that 61% of consumers expressed negative sentiment toward BDPD in general. Differently, on a finer scale, this study further measured the negative sentiments that differ significantly among different topics. The measurement results show that the topics “Regular Customers Priced High” (69%) and “Usage Intention” (67%) occupy the top two places of negative sentiment among consumers, and the topic “Precision Marketing” (42%) is at the bottom. Moreover, semantic recognition results that 49% of consumers’ comments involve multiple topics, indicating that consumers have a pretty clear cognition of the complex status of the BDPD. Importantly, this study found some topics that had not been focused on in previous studies, such as more than 8% of consumers calling for government and legal departments to regulate BDPD behavior, which indicates that quite enough consumers are losing confidence in the self-discipline of the platform enterprises. Another interesting result is that consumers who pursue solutions to the BDPD belong to two mutually exclusive groups: government protection and self-protection. The significance of this study is that it reminds the e-commerce platforms to pay attention to the potential harm for consumers’ psychology while bringing additional profits through the BDPD. Otherwise, the negative consumer attitudes may cause damage to brand image, business reputation, and the sustainable development of the platforms themselves. It also provides the government supervision departments an advanced analysis method reference for more effective administration to protect social fairness. (shrink)

Trust is of great significance to the economic and social development of a country. In the case of China, the trust of rural women has undergone tremendous changes along with the development of rural areas. It is seen that the trust of rural women has changed from localized to generalized trust, and it is stated that the major factor leading to this transformation is education. To explore the phenomenon empirically, the current study uses the survey data of rural women sourced (...) from China Family Panel Studies over the year 2018. Through the ordered probit model, the study reveals that education plays a significant role in influencing rural women’s generalized trust and localized trust. Through mediation analysis, the study further reveals that reliance on Internet information, access to public resources, and income are the factors mediating the relationship between education and generalized trust. Besides, the outcomes further unveil that the impact of education on localized trust is stronger when the level of mobility is low. For robustness check, the current study additionally employs a regression discontinuity model. The overall findings elucidate that education is the major factor triggering the trust of rural women in China. The findings propose that policymakers in China should imply education-oriented strategies as individuals with higher levels of education are more inclined to trust others. (shrink)

The rapid development of computers and technology affects modern daily life. Individuals in the digital age need to develop computational thinking skills. Existing studies have shown that programming teaching is conducive to cultivating students’ CT, and various learning models have different effects on the cultivation of CT. This study proposed a problem-oriented learning model that is closely related to programming and computational thinking. In all, 60 eighth-grade students from a middle school in China were divided into an experimental group which (...) adopted the POL model, and a control group which adopted the lecture-and-practice learning model. The results showed that the students who were instructed using the POL model performed better than those who were instructed using the LAP model on CT concepts, CT practices, and CT perspectives. Significant differences were found for CT concepts and CT perspectives, but not for CT practices. Findings have implications for teachers who wish to apply new learning models to facilitate students’ CT skills, and the study provides a reference case for CT training and Python programming teaching. (shrink)

Previous studies have noted that personality traits are important predictors of well-being, but how big five personality influences social well-being is still unknown. This study aims to examine the link between big five personality and five dimensions of social well-being in the Chinese cultural context and whether social support can play the mediating effect in the process. This study included 1,658 participants from different communities in China, and regression analyses were conducted. Results revealed that five personality traits were significantly related (...) to overall social well-being; extraversion was significantly related to social integration; agreeableness was positively related to all five dimensions of social well-being; conscientiousness was positively related to social actualization, social coherence, and social contribution; neuroticism was negatively related to social integration, social acceptance, social actualization, and social coherence; openness was positively related to social integration, social acceptance, social coherence, and social contribution. Social support plays mediating roles in the relationships between extraversion/agreeableness/conscientiousness/neuroticism/openness and social well-being, respectively. (shrink)

Within the research framework of pragma-dialectics, this study analysed and assessed strategic manoeuvring by dissociation in corporate crisis communication, exemplified by the 2017 United Airlines’ Passenger Dragging-off Incident. As shown from the analysis of the public statements issued on its official website and Twitter, United Airlines adopted dissociation using the lexical item “volunteer” in the different stages of argumentation: bringing forward a standpoint, maintaining a standpoint and mitigating a standpoint. In so doing, the corporation strategically manoeuvred the topical potential and (...) the presentational devices to meet the demands of its primary audience, i.e. the international general public. Whereas employing dissociation of the notion “volunteer” seemed to be reasonable and served the corporation’s interests best, its argumentative effectiveness was called into question based upon the general rules for critical discussion and the institutional context. (shrink)

Biases and misunderstanding stemming from pre-training in Generative Pre-Trained Transformers are more likely for users of underrepresented English varieties, since the training dataset favors dominant Englishes (e.g., American English). We investigate (potential) bias in GPT-4 when it interacts with Trinidadian English Creole (TEC), a non-hegemonic English variety that partially overlaps with standardized English (SE) but still contains distinctive characteristics. (1) Comparable responses: we asked GPT-4 18 questions in TEC and SE and compared the content and detail of the responses. (2) (...) Accurate translation: we assessed how accurate and authentic 29 TEC and 34 SE translations were. (3) Language knowledge and attitudes: we asked what language the prompts were written in and categorized the responses and examined any language attitudes that were exhibited. Content and detail in prompts were comparable. The model was proficient at translating TEC pronouns and many grammatical categories. It was weaker at processing spelling and vocabulary items. In addition, it produced several inauthentic features. Only 39% of TEC-generated sentences were fully grammatical. While GPT-4 was perfect at identifying SE, it was 21% accurate at identifying TEC, which it sometimes classified as English with “errors” and “corrected”. GPT-4’s scope of use is limited for non-hegemonic English users. It is problematic that some of its analyses perpetuate bias against underrepresented Englishes. Increased research on lesser-documented Englishes is necessary and we anticipate that this problem affects dialects of other languages. We intend to partner with Trinidadian stakeholders to train GPT-4 in the future. (shrink)

Greenwashing has become a common way in which many enterprises address expectations related to corporate social responsibility. As an abnormal and fake type of social responsibility behavior, greenwashing causes many problems, thus highlighting the importance of exploring the impact of corporate greenwashing. However, previous studies have mainly examined the impacts of greenwashing on enterprises, industry, and society, and the impact of greenwashing on individual employee behavior, which is important with regard to the sustainability of the enterprise, remains limited. The main (...) purpose of this study is to explore how perceived greenwashing affects employee green behavior (EGB). Based on the stimulus–organism–response theory and social cognitive theory, a two-wave survey was conducted to investigate 232 Chinese enterprise employees. The impact of perceived greenwashing on EGB was analyzed. The mediating role of green organizational identity (GOI) and the moderating role of self-serving leadership in this context were examined. The results reveal that perceived greenwashing is negatively related to EGB. Furthermore, GOI mediates the direct relationship between perceived greenwashing and EGB. Self-serving leadership weakens the positive relationship between GOI and EGB. This study thus develops a theoretical model of greenwashing and EGB. It also provides empirical evidence that can support attempts to promote EGB. (shrink)

An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily incremental, involving the generation and selection among random local mutations and recombinations of (parts of) one's current model. We argue that, by narrowing and guiding exploration, this feature of (...) cognitive search is what allows human learners to discover better theories, without ever grappling directly with the problem of finding a “global optimum,” or best possible world model. We suggest this aspect of cognitive processing works analogously to how blind variation and selection mechanisms drive biological evolution. We propose algorithms developed for program synthesis provide candidate mechanisms for how human minds might achieve this. We discuss objections and implications of this perspective, finally suggesting that a better process-level understanding of how humans incrementally explore compositional theory spaces can shed light on how we think, and provide explanatory traction on fundamental cognitive biases, including anchoring, probability matching, and confirmation bias. (shrink)

Previous studies show that adults and children evaluate the act of leaving a choice for others as prosocial, and have termed such actions as socially mindful actions. The current study investigates how the desirability of the available options (i.e., whether the available options are desirable or not) may influence adults’ and children's evaluation of socially mindful actions. Children (N = 120, 4- to 6-year-olds) and adults (N = 124) were asked to evaluate characters selecting items for themselves from a set (...) of three items—two identical items and one unique item—in a way that either leaves a choice (two diverse items) or leaves no choice (two identical items) for the next person (i.e., the beneficiary). We manipulated whether the available options were either desirable or undesirable (i.e., damaged). We found that adults’ and 6-year-olds’ evaluation of socially mindful actions is moderated by the desirability of the options. Although they evaluate the act of leaving a choice for others as nicer than the act of leaving no choice both when the choosing options are desirable and when they are undesirable, the discrepancy in the evaluation becomes significantly smaller when the choosing options are undesirable. We also found that inference of the beneficiary's feeling underlies social evaluation of the actor leaving a choice (or not). These findings suggest that children consider both the diversity of options left and the desirability of the available options in understanding and evaluating socially mindful acts. (shrink)

Based on event history analysis, this study examined the survival distribution of the duration of online public opinions related to major health emergencies and its influencing factors. We analyzed the data of such emergencies that took place in China during a period of 10 years. The results of the Kaplan-Meier method and Cox proportional hazards regression analysis showed that the average duration of online public opinions regarding health emergencies is 43 days, and the median is 19 days, which dispels the (...) myth of the “Seven-day Law of Propagation.” Furthermore, the duration of online public opinions can be divided into three stages: the rapid decline stage, the slowdown stage, and the disappearing stage. In addition, the type of event, and the volume of both social media discussion and traditional media coverage all had significant impacts on the duration. Our findings provide practical implications for the carrying out of targeted and stage-based governance of public opinions. (shrink)

To identify the boundary conditions for proactive employees making whistle-blowing decisions, we developed a cross-level model comprising employee proactive personality and two types of whistle-blowing intentions that incorporates the influences of organizational- and individual-level attributes. Analyses of data collected from 432 Chinese employees in 32 companies indicated that proactive personality was positively related to internal whistle-blowing intention and even more positively related to external whistle-blowing intention when individuals were working in organizations characterized by an instrumental ethical climate and employees with (...) a high level of moral identity. (shrink)

Multiplex networks have been widely used in information diffusion, social networks, transport, and biology multiomics. They contain multiple types of relations between nodes, in which each type of the relation is intuitively modeled as one layer. In the real world, the formation of a type of relations may only depend on some attribute elements of nodes. Most existing multiplex network embedding methods only focus on intralayer and interlayer structural information while neglecting this dependence between node attributes and the topology of (...) each layer. Attributes that are irrelevant to the network structure could affect the embedding quality of multiplex networks. To address this problem, we propose a novel multiplex network embedding model with high-order node dependence, called HMNE. HMNE simultaneously considers three properties: intralayer high-order proximity of nodes, interlayer dependence in respect of nodes, and the dependence between node attributes and the topology of each layer. In the intralayer embedding phase, we present a symmetric graph convolution-deconvolution model to embed high-order proximity information as the intralayer embedding of nodes in an unsupervised manner. In the interlayer embedding phase, we estimate the local structural complementarity of nodes as an embedding constraint of interlayer dependence. Through these two phases, we can achieve the disentangled representation of node attributes, which can be treated as fined-grained semantic dependence on the topology of each layer. In the restructure phase of node attributes, we perform a linear fusion of attribute disentangled representations for each node as a reconstruction of original attributes. Extensive experiments have been conducted on six real-world networks. The experimental results demonstrate that the proposed model outperforms the state-of-the-art methods in cross-domain link prediction and shared community detection tasks. (shrink)

In China, neither reproduction and parenthood by lesbian couples nor their marital status are regulated or protected by law. In 2020, the first legal dispute in China involving a lesbian couple over custody of their joint baby was heard in court. This study examines the legal and ethical issues that lesbian couples confront when they decide to give birth to a child of their own. These challenges begin with regulatory restrictions on their lawful access to assisted reproductive technology and extend (...) to gaps in the legal establishment of parenthood. We found that the lack of access to legitimate reproductive assistance for lesbian couples in China has caused them to make efforts to circumvent laws and regulations to have a child. However, the legislative gaps later led to ethical dilemmas when resolving disputes over parenthood. This study discusses different accounts of establishing and determining natural parenthood in China and concludes by pointing out the urgent need for change in legislative and sociocultural attitudes toward both assisted reproductive technology and same‐sex relationships, mapping the way forward for lesbian couples to obtain better protection of procreation and parenthood before their marriage is culturally accepted and finally legalized. (shrink)

As we all know, the Silk Road, as a famous ancient transportation route, was a trade line cross-Eurasian continent in history. Its name was from the delivery of silk. However, no Chinese ancient documents mentioned the name of “Silk Road”. German F. V. Richthofen (1933-1905) firstly used the term “Silk Road” in his book China, published in 1877. Afterwards, the name of “Silk Road” has been accepted universally and used by the world widely. The Silk Road was an ancient business (...) channel, acrossing the middle of China and countries in Central Asia, gradually forming after Qian Zhang visited Western Regions twice, two thousand and one hundred years ago. The north-west land Silk Road started from Chinese ancient Capital Chang’an (now Xi’an), acrossing Central Asia, and reaching ancient Rome in Europe. It was a bridge for communication of politics, economy, and culture between ancient China and the Western. Before 11 Century, the Sino-Western silk trade mainly depended on the land transportation. During Han Dynasty, it was a competition between the Huns and the Hans for occupy the Silk road. The silk as a kind of material culture was a sort of intermediary for making people to know how to get along together.This article attempts to describe the Sino-Western silk trade conditions before and after the two missions of Qian Zhang to Western Regions (Xiyu), including archaeological evidences, kinds of silk and trade scale, transportation routes, trade participants, and so on. (shrink)

Integrated design of financial self-service terminal based on artificial intelligence voice interaction with the rapid development of science and technology, artificial intelligence technology is deepening in the field of intelligence and automation. The financial industry is the lifeblood of a country’s economy, with great growth potential and high growth rate. The integrated design of intelligent financial self-service terminal has become an important topic in the field of rapid development of social economy and science and technology. Therefore, this paper designs the (...) integration of financial self-service terminal based on artificial intelligence voice interaction. First, this paper introduces the meaning and composition of financial self-service terminal integration, then studies the voice interaction principle based on artificial intelligence technology, and designs the integrated structure of financial self-service terminal with voice interaction. After that, this paper makes a series of tests on voice interaction technology, user experience, and the performance of financial self-service terminal. Finally, the test results of voice interaction are as follows: the delay estimation results of voice interaction of the terminal are relatively accurate, and the error points are basically within five sampling points, which indicate that the delay estimation algorithm is practical. The endpoint detection method based on CO complexity can effectively overcome the impact of noise environment on speech endpoint detection system and is suitable for the requirements of robust speech recognition system. Considering that the actual application scenario of voice positioning can judge the speaker’s position and turn to the speaker’s direction during human–computer interaction, the azimuth error is acceptable within a few degrees to meet the application requirements. The direction angle error is acceptable within a few degrees to meet the application requirements. The accuracy of the improved algorithm is improved in intercepting effective speech signals. The terminal has short running time and delay time, small memory, and central processing unit occupation and can meet the needs of users. The speech recognition accuracy of the financial self-service terminal basically reaches more than 80%, which can basically meet the daily needs. (shrink)

Background: Interpersonal sensitivity is a prominent mental health problem facing college students today. Trait mindfulness is a potential positive factor that may influence interpersonal relationships. However, the precise relationship between trait mindfulness and interpersonal sensitivity remains elusive, which limits the optimization and further application of mindfulness-based intervention schemes targeting interpersonal sensitivity. This study aimed to explore whether negative emotions mediate the relationship between trait mindfulness and interpersonal sensitivity and whether the relationship among trait mindfulness, negative emotions, and interpersonal sensitivity is (...) moderated by effectiveness/authenticity. We hypothesize that negative emotions mediate the relationship between trait mindfulness and interpersonal sensitivity, and effectiveness/authenticity moderates the indirect association between trait mindfulness and interpersonal sensitivity through negative emotions.Methods: One thousand four hundred nineteen Chinese college students, aged from 17 to 23, participated in this study. Their trait mindfulness, negative emotions, the effectiveness/authenticity, and interpersonal sensitivity were measured using well-validated self-report questionnaires.Results: Correlational analyses indicated that both trait mindfulness and effectiveness/authenticity were significantly and negatively associated with interpersonal sensitivity. Mediation analyses uncovered a partial mediating role of negative emotions in the relationship between trait mindfulness and interpersonal sensitivity. Moderated mediation analyses showed that in college students with high effectiveness/authenticity, the relationship between trait mindfulness and negative emotions was stronger, whereas the relationship between negative emotions and interpersonal sensitivity was weaker.Conclusion: Negative emotion is a mediator of the relationship between trait mindfulness and interpersonal sensitivity, which in turn is moderated by effectiveness/authenticity. These findings suggest a potential mechanism through which trait mindfulness influences interpersonal sensitivity. Mindfulness-based interventions have the potential to decrease interpersonal sensitivity and offer a basis for predicting individual differences in response to mindfulness-based interventions among individuals. (shrink)

A large number of scholars have conducted detailed studies on the effectiveness of commercial advertising by using neuroimaging methods, but only a few scholars have used this method to study the effectiveness of public service announcements. To research the relationship between the effectiveness of PSAs and the audience’s implicit awareness, functional near-infrared spectroscopy was employed to record the neural activity data of participants in this study. The results showed that there was a correlation between activation of dorsolateral prefrontal cortex and (...) the effectiveness of PSAs; The activation of the dlPFC could also be used as an indicator to represent the appeal of advertising content. The results means that neuroimaging tool can also be used to investigate the effectiveness of PSAs, not just commercial advertisements and a few PSAs study, and that neural activity can predict and improve the effectiveness of PSAs before they are released. (shrink)

The present study provides evidence that the activation strength produced by emotional stimuli must pass a threshold level in order to be consciously perceived, contrary to the assumption of continuous quality of representation. An analysis of receiver operating characteristics for attentional blink performance was used to distinguish between two models of emotion perception by inspecting two different ROC’s shapes. Across all conditions, the results showed that performance in the attentional blink task was better described by the two-limbs ROC predicted by (...) the Krantz threshold model than by the curvilinear ROC implied by the signal-detection theory. (shrink)

Heidegger through Hegel's "Phenomenology of Mind" from the absolute beginning and returns the absolute prerequisite for the analysis, while abandoning Hegel skillfully expounded his own view of hermeneutics, in particular related to the limited and infinite nature of the relationship, the meaning of existence and there are other issues, for we understand the "Phenomenology of Mind", to understand Heidegger's own thinking and in philosophical method, as well as between the two thinkers and critical internal succession relations are very instructive.

ABSTRACTIn contrast to the classic view that facial expressions convey specific emotional states, recent theories have postulated that perception is a highly contextualised phenomenon. The present...

Security issue against different attacks is the core topic of cyberphysical systems. In this paper, optimal control theory, reinforcement learning, and neural networks are integrated to provide a brief overview of optimal robust control strategies for a benchmark power system. First, the benchmark power system models with actuator and sensor attacks are considered. Second, we investigate the optimal control issue for the nominal system and review the state-of-the-art RL methods along with the NN implementation. Third, we propose several robust control (...) strategies for different types of cyberphysical attacks via the optimal control design, and stability proofs are derived through Lyapunov theory. Furthermore, the stability analysis with the NN approximation error, which is rarely discussed in the previous works, is studied in this paper. Finally, two different simulation examples demonstrate the effectiveness of our proposed methods. (shrink)

国家“十五”规划重点图书北京市“十五”规划重点图书北京市哲学社会科学“九五”规划重点项目北京市社会科学理论著作出版基金重点资助项目.