J Li

Feng Youlan emphasizes the concept of “creativity” in his article “Explanation of Mencius’ Chapter on Strong, Moving Vital Force”, in particular highlighting the problem whether the “ strong, moving vital force” is “innate” or “acquired”. Cheng Hao and Zhu Xi believed the “ strong, moving vital force” was endowed by Heaven, so was therefore innate; “nourishment” cleared fog and allowed one to “recover one’s original nature”. Mencius’ theory on “the good of human nature” is illustrated in the concept of integrated “original endowment”. So Cheng Hao and Zhu Xi’s theory of “recovering the original nature” proposed that the “ strong, moving vital force” was innate, which is in complete agreement with Mencius and of which there is ample evidence in Mencius. However, “nature” is “created by the accumulation of righteousness”. Namely, it is the completion and presentation of the process of creation and transformation of human beings. Only when we consider both Cheng Hao and Zhu Xi’s theory and Feng Youlan’s theory can we fully understand Mencius’ theory of “the nourishment of the strong, moving vital force”, which is of great theoretical and academic value in accurately understanding Mencius and the Confucian theory of mind-nature

While previous studies have suggested that there exists a relationship between obesity and executive function (EF), the mechanisms and causal relationship between them remain unclear. There are important clinical implications of determining whether EF can predict and treat obesity. We conducted a multilevel meta-analysis of randomized controlled trials (RCTs) and longitudinal studies. Specifically, we investigate (a) whether EF interventions have an effect on weight loss, (b) whether baseline EF can be a predictor of future weight loss through obesity intervention, and (c) whether early-life EF can predict future weight loss. Eight RCTs and 17 longitudinal studies with a total of 11,393 participants were identified. We found that (a) EF interventions may not have an effect on weight loss, (b) baseline inhibition (β = 0.259,p= 0.03) and delay discounting (β = −0.17,p= 0.04) significantly predict future weight loss through obesity intervention, (c) age (F= 13.666,p= 0.005) moderates the relationship between working memory and weight loss through intervention, but not weight status, type of intervention, and percentage of female, and (d) early life inhibition (β = 0.185,p= 0.07) is a marginally significant predictor of future weight loss. Our results seem to support the assumption that the relationship between EF and obesity is not direct, and a higher-order factor, such as genes, may link obesity and EF. Building on the preliminary findings, further studies focusing on EF and obesity are needed in the future.

The COVID-19 pandemic has significantly affected the exhibition of artworks in museums and galleries. Many have displayed their collection online. In this context, experiencing an online exhibition is essential for visitors to appreciate and understand the artwork. Compared with offline exhibitions, visitors to online exhibitions are often unable to communicate their experiences with other visitors. Therefore, in this study, by facilitating communication via Zoom call, we established a system that allows two people to visit the museum together through the Google Arts and Culture website. To reduce the psychological distance between online visitors and help increase user engagement, we designed and developed a media device based on moiré pattern visualization of electroencephalography signals. The participants were divided into two groups to visit the online museum, communicating remotely through Zoom. The objective of this study was to test whether a real-time EEG signal visualization device could help close the psychological distance between participants and whether it could increase user engagement with the online exhibition. Participants were randomly assigned to either the normal online exhibition experience group or EEG signal visualization device group. Participants in the NOEE group experienced four online exhibitions together. The conditions for participants in the ESVD group remained the same, apart from adding a media device to enable them to visualize EEG signals. A total of 40 university students participated in this study. Independent samples t-tests revealed that participants in the ESVD group perceived a significantly closer psychological distance between themselves and the participants on the opposite side than those in the NOEE group. A one-way ANOVA revealed that participants experienced Task3 with significantly closer psychological distance assessments than Task1, Task2, and Task4. Repeated ANOVAs revealed that participants in the ESVD group had higher overall user engagement than those in the NOEE group, with marginal significance. Thus, this study shows that EEG visualization media devices can reduce the psychological distance between two participants when experiencing an online exhibition. Moreover, it can increase user engagement to some extent.

This study investigates the value essence of “Double reduction” (Shuang jian) policy in China from a perspective of policy narrative. It examines three values essences of “Double reduction” (Shuang jian) policy, including the core value of running schools: student-centered education; the leading value of running schools: quality-based education and the dominant value of running schools: home-school cooperative education. The interactive analysis of “Double reduction” (Shuang jian) policy in China highlights that the main purpose of the "double reduction" policy is to solve major problems related to people’s livelihood in the field of education and provide people with higher quality and universal educational resources. In addition, suggestion, conclusion, and remark are offered in the last.

We conducted an intertemporal online experiment to examine the contagion of others’ positive and negative donation behaviors. We collected two sets of data during and after the peak of the COVID-19 pandemic in China. The participants donated to the charitable fund, “Against COVID-19, The China Charity Federation Is on the Move.” We further investigated the mediating effect of social anxiety on the link between the contagion of donation behaviors and the changes in the COVID-19 situation. A total of 1022 participants participated in the intertemporal online experiment and were considered in the statistical analyses. Our findings were as follows. First, the donation behaviors of others significantly changed these participants’ initial donation decisions, with increased or decreased donation amounts being associated with a positive or negative donation behavior, respectively. Others’ positive donation behavior was more likely to nudge these participants into changing their initial decisions than negative donation behavior during the peak of the pandemic. However, such difference disappeared after the peak because the contagion of positive donation behavior significantly decreased along with the abatement of the pandemic. Second, the participants’ social anxiety decreased along with the abatement of the pandemic, and social anxiety completely mediated the relationship between the pandemic abatement and the decrease in the contagion of positive donation behaviors. These findings advance our understanding of the motivations and influence mechanism of individuals’ donation decisions in the current pandemic situation and help make informed policy making decisions.

Purpose: The cognitive effects of total sleep deprivation on the brain remain poorly understood. Electroencephalography is a very useful tool for detecting spontaneous brain activity in the resting state. Quasi-stable electrical distributions, known as microstates, carry useful information about the dynamics of large-scale brain networks. In this study, microstate analysis was used to study changes in brain activity after 24 h of total sleep deprivation.Participants and Methods: Twenty-seven healthy volunteers were recruited and underwent EEG scans before and after 24 h of TSD. Microstate analysis was applied, and six microstate classes were identified. Topographies and temporal parameters of the microstates were compared between the rested wakefulness and TSD conditions.Results: Microstate class A showed lower global explained variance, frequency of occurrence, and time coverage in TSD than RW, whereas microstate class D displayed higher GEV, frequency of occurrence, and time coverage in TSD compared to RW. Moreover, subjective sleepiness was significantly negatively correlated with the microstate parameters of class A and positively correlated with the microstate parameters of class D. Transition analysis revealed that class B exhibited a higher probability of transition than did classes D and F in TSD compared to RW.Conclusion: The observation suggests alterations of the dynamic brain-state properties of TSD in healthy young male subjects, which may serve as system-level neural underpinnings for cognitive declines in sleep-deprived subjects.

Community detection is one of the key research directions in complex network studies. We propose a community detection algorithm based on a density peak clustering model and multiple attribute decision-making strategy, TOPSIS. First, the two-dimensional dataset, which is transformed from the network by taking the density and distance as the attributes of nodes, is clustered by using the DBSCAN algorithm, and outliers are determined and taken as the key nodes. Then, the initial community frameworks are formed and expanded by adding the most similar node of the community as its new member. In this process, we use TOPSIS to cohesively integrate four kinds of similarities to calculate an index, and use it as a criterion to select the most similar node. Then, we allocate the nonkey nodes that are not covered in the expanded communities. Finally, some communities are merged to obtain a stable partition in two ways. This paper designs some experiments for the algorithm on some real networks and some synthetic networks, and the proposed method is compared with some popular algorithms. The experimental results testify for the effectiveness and show the accuracy of our algorithm.

The Confucian concept of "cheng" (integrity) emphasizes logical priority of value realization over "zhen shi' (reality or truth). Through value realization and the completion of being, zhenshi can be achieved. Cheng demonstrates the original unity of value and reality. Taking the concept of cheng as the core, Zhou Lianxi's philosophy interpreted yi Dao (the Dao of change), and integrated Yi Jing (The Book of Changes) and Zhong Yong (The Doctrine of the Mean). On the one hand, it ontologicalized the Confucian concept of xin xing (mind nature), and proved and established the significance of Dao ti (the ontological Dao) as the principle and origin of the utmost goodness. On the other hand, it also extended the significance of value realization to the process of qi hua (transformation of qi) and transformation of myriad things. He proved li yi (the One Principle) of Dao ti from its many manifestations and established his own metaphysical system. Zhou Lianxi's philosophy sets up a new theoretical direction for the Song-Ming Confucians to reconstruct Confucian Metaphysics

Selective accessibility mechanisms indicate that anchoring effects are results of selective retrieval of working memory. Neuroimaging studies have revealed that the right dorsolateral prefrontal cortex (DLPFC) is closely related to memory retrieval and performance. However, no research has investigated the effect of changing the cortical excitability in right DLPFC on anchoring effects. Transcranial direct current stimulation (tDCS) can modulate the excitability of the human cerebral cortex, while anodal and cathodal tDCS are postulated to increase or decrease cortical activity, respectively. In this study, we used tDCS to investigate whether effects of increased or decreased right DLPFC excitability influence anchoring effects in willingness to pay (WTP) experiments. Ninety participants were first randomly assigned to receive either anodal, cathodal, or sham stimulation of 15 minutes, then they performed a valuation task regarding WTP. The results showed that anchoring effects were negatively related to activities of right DLPFC: the anodal stimulation diminished anchoring effects while the cathodal stimulation increased anchoring effects. These outcomes provide one of the first instances of neural evidence for the role of the right DLPFC in anchoring effects and support psychological explanations of the selective accessibility mechanisms and cognitive sets.

For CVaR portfolio nonsmooth optimization problem, we propose an infeasible incremental bundle method on the basis of the improvement function and the main idea of incremental method for solving convex finite min-max problems. The presented algorithm only employs the information of the objective function and one component function of constraint functions to form the approximate model for improvement function. By introducing the aggregate technique, we keep the information of previous iterate points that may be deleted from bundle to overcome the difficulty of numerical computation and storage. Our algorithm does not enforce the feasibility of iterate points and the monotonicity of objective function, and the global convergence of the algorithm is established under mild conditions. Compared with the available results, our method loosens the requirements of computing the whole constraint function, which makes the algorithm easier to implement.

The study of voice behavior examines the inclination of staff and team members to speak up and contribute ideas to the team. In this article, we investigate how factors such as leader-member exchange (LMX), psychological safety and psychological empowerment influence such behavior. Our findings, which are based on a sample of 308 employees working for a state-owned telecommunications company on the Chinese mainland, indicate that ethical leadership promotes employees’ voice behavior through enhanced leader-member exchange, which also leads to greater feelings of psychological safety and psychological empowerment. The theoretical and practical implications of these results are discussed.

A successful student has been defined as one who not only performs well in academics but is also happy. Hence, how to promote adolescents’ academic success and wellbeing is an important issue with which researchers have been concerned. A few studies have explored the relationship of filial piety to the academic achievement or life satisfaction of Chinese adolescents. However, in view of the close relationship between the two outcomes, the unique effects of filial piety on academic achievement and subjective wellbeing and their underlying mechanisms need to be further clarified. Based on a sample of 677 students in Grade 6 (Mage = 12.24, SD = 0.36) and their parents in Beijing, China, this study examines how adolescents’ reciprocal filial piety (RFP) and authoritarian filial piety (AFP) are related to their academic achievement and subjective wellbeing. It also examines the mediating role of adolescents’ educational expectations in these relationships, and the moderating role of parents’ educational expectations in the relationships of adolescents’ filial piety to educational expectations and of adolescents’ educational expectations to academic achievement and subjective wellbeing. The results indicate that, when the two outcome factors are considered simultaneously, RFP is positively related to academic achievement and subjective wellbeing. In contrast, AFP is negatively related to academic achievement but not significantly related to subjective wellbeing. Moreover, adolescents’ educational expectations play a mediating role in the relationships of both RFP and AFP to academic achievement and subjective wellbeing. In addition, the positive effect of adolescents’ educational expectations on subjective wellbeing is stronger when mothers’ educational expectations are higher, supporting the moderating role of parents’ educational expectations. Our findings provide new insights into and implications for the moderated mediation mechanism underlying the links between filial piety and early adolescent development.

This study investigates the types of misinformation spread on Twitter that evokes scientific authority or evidence when making false claims about the antimalarial drug hydroxychloroquine as a treatment for COVID-19. Specifically, we examined tweets generated after former U.S. President Donald Trump retweeted misinformation about the drug using an unsupervised machine learning approach called the biterm topic model that is used to cluster tweets into misinformation topics based on textual similarity. The top 10 tweets from each topic cluster were content coded for three types of misinformation categories related to scientific authority: medical endorsements of hydroxychloroquine, scientific information used to support hydroxychloroquine’s use, and a comparison group that included scientific evidence opposing hydroxychloroquine’s use. Results show a much higher volume of tweets featuring medical endorsements and use of supportive scientific information compared to accurate and updated scientific evidence, that misinformation-related tweets propagated for a longer time frame, and the majority of hydroxychloroquine Twitter discourse expressed positive views about the drug. Metadata from Twitter accounts found that prominent users within misinformation discourse were more likely to have media or political affiliation and explicitly expressed support for President Trump. Conversely, prominent accounts within the scientific opposition discourse primarily consisted of medical doctors or scientists but had far less influence in the Twitter discourse. Implications of these findings and connections to related social media research are discussed, as well as cognitive mechanisms for understanding susceptibility to misinformation and strategies to combat misinformation spread via online platforms.

With the rapid development of livestreaming marketing in China, consumers spend an increasing amount of time watching and purchasing on the platform, which shows a trend of livestreaming addiction. In the early stage of the COVID-19 pandemic, the addiction exacerbated by a surge of boredom caused by home quarantine. Based on the observation of this phenomenon, this research focused on whether state boredom could facilitate consumers’ livestreaming addiction and explored the associated mechanisms of this relationship. Based on three studies, this research found that state boredom had a positive effect on consumers’ livestreaming addiction, and this relationship worked through the mediating effect of consumers’ sensation seeking. We further verified a moderated mediation effect of consumers’ life meaning perception, where the indirect effect of state boredom on consumers’ livestreaming addiction via consumers’ sensation seeking existed for high and low levels of life meaning perception, but in opposite directions. The conclusions provided theoretical and practical implications of livestreaming marketing and healthy leisure consumption.

Recently, infrared human action recognition has attracted increasing attention for it has many advantages over visible light, that is, being robust to illumination change and shadows. However, the infrared action data is limited until now, which degrades the performance of infrared action recognition. Motivated by the idea of transfer learning, an infrared human action recognition framework using auxiliary data from visible light is proposed to solve the problem of limited infrared action data. In the proposed framework, we first construct a novel Cross-Dataset Feature Alignment and Generalization framework to map the infrared data and visible light data into a common feature space, where Kernel Manifold Alignment and a dual aligned-to-generalized encoders model are employed to represent the feature. Then, a support vector machine is trained, using both the infrared data and visible light data, and can classify the features derived from infrared data. The proposed method is evaluated on InfAR, which is a publicly available infrared human action dataset. To build up auxiliary data, we set up a novel visible light action dataset XD145. Experimental results show that the proposed method can achieve state-of-the-art performance compared with several transfer learning and domain adaptation methods.

Social norms play an essential role in human interactions and the development of the evolution of human history. Extensive studies corroborate that compliance with social norms typically requires a punishment threat as almost always specific individuals have self-interests that tempt them to violate the norm. Neural imaging studies demonstrate that lateral orbitofrontal cortex and right dorsolateral prefrontal cortex (rDLPFC) are activated when individuals decide to increase social norm compliance when punishment is possible. Moreover, rDLPFC is affirmed to be involved in social norm compliance with or without external punishment threats in a series of transcranial direct current stimulation (tDCS) research. However, these neuroscience studies are based on the ultimatum game in which the decision-making power between the proposer and the responder is unequal, and no studies support the causal relationship between rDLPFC and voluntary cooperative norms compliance among the equal decision-making power of subjects. Whether modulating the excitability of rDLPFC, which plays a role in norm compliance, alters the extent of compliance with voluntary cooperative norms under equal decision-making power and how norms from different types with asymmetric endowment influence compliance remain unknown. The present study aimed to provide evidence of a direct link between the neural and behavioral results through the application of tDCS over rDLPFC on compliance with voluntary cooperative norms under equal decision-making power. Results verified that activating rDLPFC altered voluntary cooperative norms compliance of all our participants and significant effect over different initial endowments was observed. The role of norm.own and norm.other in compliance was changed in the anodal treatment. Findings validate that enhancing the excitability of the rDLPFC using tDCS leads to high compliance in voluntary cooperation and this effect is specific to equal decision-making power rather than unequal decision-making power.