Environment is essentially in the category of culture and environmental research should be based on human value and culture. The study of the relationship between humans and their natural environment should also refer to human relations. Since the operational logic of social capital is the root of ecological crisis, the ultimate solution to this problem lies in human’s correct thinking, institutional, political and behavioral patterns in dealing with nature. Re-establishing human ecology therefore provides a cultural basis for the harmony between (...) human and nature and realistic basis for the psycho-physical harmony and spiritualization of humans. (shrink)

As the first dictionary of philosophy in East Asia, Neo-Confucian Terms Explained constructed for the first time a category system of Neo-Confucianism and incorporated annotation methods as an important part of it. The book contains two volumes: Volume I is the learning toward inward sagehood, including the Mind-and-Heart Theory and the Theory of Morality (or the Theory of Method); Volume II is the learning of governing, including the theory of Neo-Confucian Principles, the theory of Education and criticism against heresy. In (...) terms of the interpretation of categorical relations, the discussions in this book range from the boundary and connections between different categories and the complicated categorical relations. (shrink)

Although previous studies focus on the role of women in the boardroom and corporate response to natural disasters, none evaluate how women directors influence corporate philanthropic disaster response (CPDR). This study collects data on the philanthropic responses of privately owned Chinese firms to the Wenchuan earthquake of May 12, 2008, and the Yushu earthquake of April 14, 2010. We find that when at least three women serve on a board of directors (BOD), their companies’ responses to natural disasters are more (...) significant. Age diversity among women on BODs as well as good corporate profitability (e.g., high earnings per share) positively moderates the relationship between women on BODs and CPDR. (shrink)

Many corporations actively engage in political activities to enhance their relationships with politicians, facilitating access to scarce resources and creating competitive advantages. We investigate corporate donations to explore how they initiate interactions between firms and new local leaders in China. Specifically, we propose that political turnover creates unique opportunities for firms to win over new officials via corporate donations, especially in competitive markets. Moreover, we find that firms that make generous donations at the beginning of a new city secretary’s tenure (...) receive more attention from representatives of new local leaders, especially firms that were politically disadvantaged under a predecessor’s governance. Empirical studies on the turnover of city secretaries between 2001 and 2012 in China strongly support our hypotheses. Consequently, this study improves our understanding of how corporate donations initiate social exchanges between firms and politicians. (shrink)

This study examines how the reference-point effect and sunk-cost fallacy interact with stakeholder theory and influence how investors evaluate corporate social performance. We propose that ex-ante (pre-IPO) corporate social performance influences ex-post (post-IPO) perceived riskiness and that this relationship is U-shaped. We also evaluate how CEO duality and company age moderate this U-shaped relationship. Using young and newly public entrepreneurial firms in China, and focusing on stock returns in the secondary market, empirical results and robustness tests provide strong support for (...) our hypotheses. (shrink)

The rate of learning and cognitive development is at its highest level in preschool-aged children, making this stage a critical period. Exercise has received increasing attention for its beneficial physical and mental health effects on the development of preschool children. This study investigated the effects of diverse exercise on the cognition of preschool children. Two classes were randomly selected from kindergarten classes of children aged 5–6 years, and designated as the experimental and control classes. Each class contained 20 children according (...) to the kindergarten class system. The experimental class completed exercises according to the designed curriculum, while control class carried out exercises according to the regular teaching plan, for a study period of 12 weeks. The Wechsler Preschool and Primary Scale of Intelligence and the Mental Health Questionnaire for Children were used to assess outcomes, both at the beginning and end of study. After 12 weeks, the experimental class has improved in the “Object Assembly,” “Block Design,” “Picture Completion,” and “Coding” in performance test, and showed improvements in the “Movement,” “Cognitive Ability,” “Sociality” and “Living Habits” in mental health outcomes. Diverse exercise has a significantly beneficial role in promoting the cognitive development of children aged 5–6 years, as well as a beneficial, albeit insignificant, role in their mental health. (shrink)

Several previous studies have reported atypicality in resting-state functional connectivity in autism spectrum disorder, yet the relatively small effect sizes prevent us from using these characteristics for diagnostic purposes. Here, canonical correlation analysis and hierarchical clustering were used to partition the high-functioning ASD group into subgroups. A support vector machine model was trained through the 10-fold strategy to predict Autism Diagnostic Observation Schedule scores within the ASD discovery group, which was further validated in an independent sample. The neuroimage-based partition derived (...) two subgroups representing severe versus mild autistic patients. We identified FCs that show graded changes in strength from ASD-severe, through ASD-mild, to controls, while the same pattern cannot be observed in partitions based on ADOS score. We also identified FCs that are specific for ASD-mild, similar to a partition based on ADOS score. The current study provided multiple pieces of evidence with replication to show that resting-state functional magnetic resonance imaging FCs could serve as neural biomarkers in partitioning high-functioning autistic individuals based on their symptom severity and showing advantages over traditional partition based on ADOS score. Our results also indicate a compensatory role for a frontocortical network in patients with mild ASD, indicating potential targets for future clinical treatments. (shrink)

Although previous studies primarily claim that government-dependent firms can actively engage in compliance activities in order to achieve political legitimacy, access government resources, and build competitive advantages, these studies largely ignore how firms react when firm-dependent governments exert coercive pressures. We thus introduce institutional theory and the behavioral theory of social performance to develop a model of modest imitation, and we propose that the more governments depend on privately owned firms, the more firms demonstrate average social performance in order to (...) balance efficiency concerns with political legitimacy threats. Meanwhile, whether firms imitate peers’ social performance depends on the magnitude of institutional rigidity. In turn, issue salience and spatial proximity undermine modest imitation, and political connections strengthen modest imitation. We study how all listed, privately owned firms react to the Chinese government’s call for social engagement in poverty alleviation initiated in 2015. This study uses a two-stage Heckman selection model to correct for sample-selection bias, and the results provide strong support for our arguments. This research thus extends our understanding of modest imitation in response to coercive pressure from-dependent governments. (shrink)

Before expressing opinions, most people usually consider the standpoint of their friends nearby to avoid being isolated, which may lead to the herding effect. The words of celebrities in social networks usually attract public attention and affect the opinion evolution in the entire network. This process also causes the similar status quo. In this study, we find that the key figures play the guiding roles in public opinions who undertake the group pressure from information amount. Therefore, we build the cost (...) function on opinion changes to study opinion evolution rules for public persons based on the spreading scope of information and information amount. Simulation analysis reveals that the information amount held by agents will affect the converging speed of public opinions, while enhancing the ability of key nodes may no more effective in guiding public opinion. (shrink)

As the aging population, including frail older people, continues to grow in Mainland China, quality of life and end-of-life care for frail older people has attracted much attention. Advance care planning is an effective way to improve end-of-life care for people with advanced diseases, and it is widely used in developed countries; however, it is a new concept in Mainland China. The effects of advance care planning and its acceptability in Mainland China are uncertain because of its culture-sensitive characteristics. The (...) objective of this article is to discuss the serious social issue of caring for frail older people and illustrate the possibility of implementing advance care planning in nursing homes in Mainland China through a review of relevant literature, which will focus on legislation, healthcare system engagement, public engagement, and cultural issues. Recommendations to promote and implement advance care planning include choosing nursing homes as a proper setting, establishing an ethical climate, and enhancing public awareness. (shrink)

Transportation cyber-physical systems are constrained by spatiality and real-time because of their high level of heterogeneity. Therefore, applications like traffic control generally manage moving objects in a single-machine multithreaded manner, whereas suffering from frequent locking operations. To address this problem and improve the throughput of moving object databases, we propose a GPU-accelerated indexing method, based on a grid data structure, combined with quad-trees. We count object movements and decide whether a particular node should be split or be merged on the (...) GPU. In this case, bottlenecked nodes can be translated to quad-tree without interfering with the CPU. Hence, waiting time of other threads caused by locking operations raised by object data updating can be reduced. The method is simple while more adaptive to scenarios where the distribution of moving objects is skewed. It also avoids shortcomings of existing methods with performance bottleneck on the hot area or spending plenty of calculation resources on structure balancing. Experiments suggest that our method shows higher throughput and lower response time than the existing indexing methods. The advantage is even more significant under the skewed distribution of moving objects. (shrink)

Despite considerable disruption of social order caused by the COVID-19 pandemic, it has also been said to contribute to positive psychological changes and influence on the perception of public life satisfaction. The present study aimed to explore the association between the COVID-19 related posttraumatic growth and life satisfaction and the mediating role of personal values. A two-wave longitudinal design was used. 226 self-quarantined Chinese college students completed post traumatic growth inventory, satisfaction with life scale, personal values questionnaire between February 2020 (...) and May 2021. Results showed that more than half of self-quarantined Chinese college students reported moderate to high levels of the COVID-19 related posttraumatic growth. A structural equation model revealed that COVID-19 related posttraumatic growth was positively associated to life satisfaction, and self-transcendence and self-enhancement values partially mediated this association. These findings shed light on whether and how pandemic-related posttraumatic growth influenced personal life satisfaction, supporting the outcome and process perspectives of posttraumatic growth as well as Schwartz’s value theory. Based on the findings, some positive psychology interventions, such as online rumination activities and mindfulness practice, were proposed to enhance self-quarantined college students’ posttraumatic growth and life satisfaction. (shrink)

The Physical Exercise Rating Scale, Mindfulness Attention Awareness Scale, Ruminative Thinking Scale, and Pittsburgh Sleep Quality Index are used to conduct the questionnaire among a sample of 1,006 college students to figure out whether there is any correlation between physical exercise and sleep quality in college students as well as how the mechanism of mindfulness and ruminative thinking plays a role in them. For data analysis, the Harman single-factor test was used; for the common method deviation test, Pearson’s correlation analysis, (...) and the mediating effect tested by using the bootstrap method were carried out. Results: Overall, 34% of college students’ sleep quality is poor. The PSQI is positively correlated with ruminative thinking, while both are negatively correlated with the level of physical exercise and mindfulness; the level of physical exercise is positively correlated with the level of mindfulness. Physical exercise can significantly negatively predict sleep quality had no significant predictive effect on sleep quality. After controlling for age and gender, physical exercise appears to have an impact on sleep quality of college students through the independent intermediary role of mindfulness and ruminative thinking and the chain intermediary role of mindfulness and ruminative thinking, with a total mediating effect value of −0.007. This study reveals the relationship between physical exercise and sleep quality, as well as its mechanism, thus guiding college students to actively participate in physical exercise. It also provides corresponding suggestions to improve sleep quality as well as physical and mental health in college students. (shrink)

BackgroundPostgraduates usually face more life challenges than undergraduate students, including social, emotional and financial issues, and the prevalence of mental health problems in postgraduates is higher than undergraduates. Therefore, the attention on postgraduates’ mental health status is needed.ObjectivesThe current study explored the relationship between postgraduates’ emotional intelligence and well-being by investigating the mediating effects of social support and psychological resilience and the relationship between them through the construction of a chain mediation model.Method1,228 postgraduates completed the Emotional Intelligence Scale, the Social (...) Support Rate Scale, the Psychological Resilience Scale, and the Subject Well-being Scale.ResultsThere is a chain effect between postgraduates’ social support and psychological resilience mediated by their emotional intelligence and well-being, with a total effect value of 0.049.ConclusionEmotional intelligence has a predictive effect on postgraduates’ well-being. The mechanism of this effect includes the indirect effects of social support and psychological resilience. Study results revealed the relationship mechanism between emotional intelligence and postgraduates’ well-being, and provide reference for explorations of how to development postgraduates’ emotional intelligence and further improving their abilities to strengthen their emotional resilience. (shrink)

Although previous research has highlighted the positive effect of leaders’ voluntary workplace green behavior, limited research attention has been given to empirically testing how and when such behavior produces trickle-down effects. Taking a role model perspective and drawing on social identity theory, this research aims to fill this gap by proposing and testing the mechanism and boundary conditions of the influencing processes whereby leaders’ VWGB can trickle down to employees’ pro-environmental behaviors. By theorizing a moderated mediation model, the current research (...) empirically examines the hypotheses by conducting a hierarchical regression analysis. We employed a survey questionnaire research design to collect two waves of multisource data. The data used in the analysis are from survey responses of 313 subordinate-supervisor dyads at two different time points. The results show that leaders’ VWGB can have a trickle-down influence on employees’ task-related pro-environmental behavior and proactive pro-environmental behaviors through their green self-identity and that this trickle-down effect is greater among employees with higher green climate perceptions. Our results reveal the intervening mechanism and boundary condition of leaders’ VWGB by conducting a systematic examination of how this effect trickles down. (shrink)

In order to fully implement the new development concept, bring into full play the potential of sports development, and maintain the resilience of China’s sports development. This paper studies the resilience evaluation and spatial correlation of Chinese sports development under the new development concept. First, we constructed Resilience Evaluation Indexes System for Sports Development in China based on the analysis of the resilience features of sports development and the DPSIR model, which is from the five aspects of “driving force – (...) pressure – state – influence – response.” Second, used Coefficient of Variation and Technique for Order Preference by Similarity to an Ideal Solution Method to measure the resilience level of sports development in 31 provinces in China from 2013 to 2017. Then, we introduced the obstacle degree model to identify the obstacle factors that hinder the resilience of Chinese sports development in different periods. Finally, we used the global and local Moran indexes to analyze the spatial correlation of China sports regional development. The results showed that: overall, the development level of sports resilience in 31 provinces in China showed an upward trend from 2013 to 2017, while some provinces showed obvious fluctuations. The obstacles to the development of sports resilience in China mainly include sports scientific research equipment, the number of national fitness monitoring stations, the number of national fitness centers, the full-time equivalent of personnel, and the number of sports scientific research projects. The response subsystem is the main obstacle factor that affects the improvement of the resilience level of sports development in China. There is a positive spatial autocorrelation between the resilience level of sports development and regional spatial distribution, and the correlation shows a weakening trend, and the internal difference is significant. Finally, we concluded that we must take the new development philosophy as the guiding principle. First, we should stick to innovation-driven development to fully upgrade the resilience of China’s sports development. Second, we should adhere to the principle of coordinated development to promote the overall and balanced development of sports. Lastly, we should promote shared development so as to deliver benefits for all in an equal way. (shrink)

This study attempted to explore the personality traits of higher achievers at the university level. The core objective of this investigation was to illustrate the nature of personality traits of the higher achievers’ students. To study this phenomenon, a quantitative research approach was used. The students were chosen by using a purposive sampling technique and included 758 high achievers enrolled in various programs at the Chinese universities. Based on the Hexaco model of personality, a questionnaire was used to gather information (...) from respondents as a research tool to examine the personality traits of position holders after an extensive review of the relevant literature. Tool validity was determined by following the face, content, construct validation process. This investigation concluded that honesty, emotionality, and openness to experience were very high among the higher achievers’ students. Only honesty in female higher achievers’ students was significantly high than male, remaining factors “extraversion, agreeableness, conscientiousness, and openness to experience” were significantly high among male higher achievers’ students. Moreover, the higher achievers of science group students were more extraversion, agreeableness, and conscientiousness than arts group students. However, higher achievers in hostels were more emotional and agreeableness than the day scholars. Overall step-wise regression analysis, indicated that agreeableness and extraversion factor has significant influence on higher achievers. (shrink)

Abusive supervision negatively affects its direct victims. However, recent studies have begun to explore how abusive supervision affects third parties. We use the emotion-based process model of schadenfreude as a basis to suggest that third parties will experience schadenfreude and increase their work engagement as a response to peer abusive supervision. Furthermore, we suggest that the context of competitive goal interdependence facilitates the indirect relationship between PAS and third parties’ work engagement on schadenfreude. We use a mixed-method approach to test (...) our hypotheses. Data from an experimental study conducted by facial expression analysis technology and a multi‐wave field study generally support our hypotheses. Overall, our study extends PAS literature and meaningfully informs practitioners who aim to promote ethical workplace environments. (shrink)

Sequences of individual words make up media reports. And sequences of media reports constitute the power of the news media to influence corporate practices. In this paper, we focus on the micro-foundations of news reports to elaborate how an atmosphere of negative news reports following an initial exposure of corporate pollution activity can help stop such activity through their impact on corporate managers. We extend our understanding of the corporate governance effect of news media by considering two new aspects of (...) reports—one, the proportion of words in negative reports relative to the total number of words in all reports; and two, the geographical origin of news media. We suggest that the more negative the media coverage, and the more local this coverage, the greater the impact on corporations. Our study of news media reports from more than 600 newspaper sources on disciplining pollution activities of listed Chinese firms from 2004 to 2012 provides strong support for our hypotheses. These findings have valuable implications for the handling of pollution issues in transitional economies via the power of news words. (shrink)

Buddhisms and Deconstructions considers the connection between Buddhism and Derridean deconstruction, focusing on the work of Robert Magliola. Fourteen distinguished contributors discuss deconstruction and various Buddhisms—Indian, Tibetan, and Chinese —followed by an afterword in which Magliola responds directly to his critics.

In the recent years, gesture recognition based on the surface electromyography (sEMG) signals has been extensively studied. However, the accuracy and stability of gesture recognition through traditional machine learning algorithms are still insufficient to some actual application scenarios. To enhance this situation, this paper proposed a method combining feature selection and ensemble extreme learning machine (EELM) to improve the recognition performance based on sEMG signals. First, the input sEMG signals are preprocessed and 16 features are then extracted from each channel. (...) Next, features that mostly contribute to the gesture recognition are selected from the extracted features using the recursive feature elimination (RFE) algorithm. Then, several independent ELM base classifiers are established using the selected features. Finally, the recognition results are determined by integrating the results obtained by ELM base classifiers using the majority voting method. The Ninapro DB5 dataset containing 52 different hand movements captured from 10 able-bodied subjects was used to evaluate the performance of the proposed method. The results showed that the proposed method could perform the best (overall average accuracy 77.9%) compared with decision tree (DT), ELM, and random forest (RF) methods. (shrink)

With the rising popularity of mindfulness practice, it is necessary and crucial to evaluate mindfulness using comprehensive and objective measures. The instruments to assess mindfulness in China mainly evaluate mindfulness as a state or trait mode. Few process measures have been developed to clarify effective therapy benefits of the alterations obtained using mindfulness practice. Therefore, this study aims to adapt the Applied Mindfulness Process Scale into Mandarin and explore in detail the reliability and validity of this novel-translated measure. Following cross-cultural (...) modification for original AMPS into Mandarin as per established guidelines, psychometric evaluation was performed on a cohort of 234 Chinese adults. Construct validity was analyzed through exploratory factor analysis, together with confirmatory factor analysis. Reliability was assessed by internal consistency together with test-retest reliability. Findings indicated that the internal consistency was high, with Cronbach’s alpha being 0.936. The principal component analysis led to a three-factor structure that explained 67.374% of all variations. The three-factor model was consistent with the original scale model. Based upon confirmatory factor analyses, all fitting indices satisfied the standard, which showed a close fit to the data. Therefore, the newly multi-culturally modified AMPS has sufficient validity, test-retest reliability, together with internal consistency. Chinese AMPS may offer researchers and clinicians a psychometrically optimized tool for evaluating the application of mindfulness and change process within mindfulness-based interventions in Mainland China. (shrink)

Electroacupuncture (EA) and electroconvulsive therapy (ECT) are often used in the management of schizophrenia. This study sought to determine whether additional EA and ECT could augment antipsychotic response and reduce related side effects. In this retrospective controlled study, 287 hospitalized schizophrenic patients who received antipsychotics (controls, n = 50) alone or combined with EA (n = 101), ECT (n = 55) or both (EA+ECT, n = 81) were identified. EA and ECT were conducted for 5 and 3 sessions per week, (...) respectively, with a maximum of 12 sessions for ECT during hospitalization. The Scale for the Assessment of Positive Symptoms (SAPS) and Scale for the Assessment of Negative Symptoms (SANS) were used to assess the severity of psychotic symptoms. Clinical response on SAPS and SANS, weight gain, and adverse events were compared. Survival analysis revealed that the ECT and EA+ECT groups had markedly greater clinical response rate than controls on SAPS [72.7% and 90.1% vs. 64.0%; relative risk (RR), 1.974 and 2.628, respectively, P ≤ 0.004] and on SANS (67.3% and 70.4% vs. 42.0%; RR, 1.951 and 2.009, respectively, P ≤ 0.015). A significantly greater response rate on SANS than controls was also observed in the EA group (64.4% versus 42.0%; RR = 1.938, P = 0.008). EA-containing regimens remarkably reduced weight gain and incidences of headache, insomnia, dry mouth, and electrocardiographic abnormalities. These results suggest that EA and ECT can serve as additional treatment for enhancing antipsychotic response and reduce the side effects in hospitalized patients with schizophrenia. (shrink)

Green entrepreneurship has a huge role in solving environmental degradation and social problems. As today’s youth are tomorrow’s entrepreneurs, enhancing their green entrepreneurial intention will contribute to the sustainable development of economy in the future. The existing literature has examined the green entrepreneurial intention of college students based on self-efficacy, entrepreneurial creativity, entrepreneurship education, financial support, sustainable development values, and other influencing factors. However, these studies focus on net effect of factors on the results of college students’ green entrepreneurial intention, (...) ignoring the combination of multiple factors, and the relationship between different configurations of factors and the results of college students’ green entrepreneurial intention. Therefore, this study aimed to understand and analyze the influence of the complex relationship between multiple antecedents on college students’ green entrepreneurial intention from a comprehensive perspective. Based on 207 questionnaires collected from colleges in the coastal cities of China, this study used the fuzzy set qualitative comparative analysis method for data analysis. The results showed three dominant paths of great significance to college students’ high green entrepreneurial intention: entrepreneurial creativity—green cognition—dominant path; entrepreneurial creativity—financial support—dominant path; and the future self-continuity—entrepreneurship culture—entrepreneurship education—dominant path. The results of this study can help college educators to plan courses on innovative thinking and green entrepreneurship to improve college students’ entrepreneurial creativity and green cognitive ability. (shrink)

. The defects in macro traffic model research are pointed out firstly. In order to remedy these defects, traffic movements at the grid intersection were analyzed, and with the basic framework of the traffic transmission model, the new macro traffic model used in the paper for control simulation and evaluation has been proposed. Secondly, the bi-level optimization control model is proposed, using minimal delay and maximal throughput as its upper objectives, and optimal traffic coordination on both sides as the lower (...) objective. A corresponding heuristic ant algorithm is subsequently designed to solve the control model. Finally, the proposed method is tested at a suppositional road network, under three different demand scenarios, compared with Transyt-7F. The results show that the proposed method has better performance, especially under high demand scenarios. (shrink)

According to the conflict monitoring hypothesis, conflict monitoring and inhibitory control in cognitive control mainly cause activity in the anterior cingulate cortex and control-related prefrontal cortex in many cognitive tasks. However, the role of brain regions in the default mode network in cognitive control during category induction tasks is unclear. To test the role of the ACC, PFC, and subregions of the DMN elicited by cognitive control during category induction, a modified category induction task was performed using simultaneous fMRI scanning. (...) The results showed that the left middle frontal gyrus and bilateral dorsal ACC/medial frontal gyrus were sensitive to whether conflict information appears, but not to the level of conflict. In addition, the bilateral ventral ACC, especially the right vACC, a part of the DMN, showed significant deactivation with an increase in cognitive effort depending on working memory. These findings not only offer further evidence for the important role of the dorsolateral PFC and dorsal ACC in cognitive control during categorization but also support the functional distinction of the dorsal/ventral ACC in the category induction task. (shrink)

Diffusion MRI is widely used to investigate neuronal and structural development of brain. dMRI data is often contaminated with various types of artifacts. Hence, artifact type identification in dMRI volumes is an essential pre-processing step prior to carrying out any further analysis. Manual artifact identification amongst a large pool of dMRI data is a highly labor-intensive task. Previous attempts at automating this process are often limited to a binary classification of the dMRI volumes or focus on detecting a single type (...) of artifact. In this work, we propose a deep learning-based automated multiclass artifact classifier for dMRI volumes. Our proposed framework operates in 2 steps. In the first step, the model predicts labels associated with 3D mutually exclusive collectively exhaustive sub-volumes or “slabs” extracted from whole dMRI volumes. In the second step, through a voting process, the model outputs the artifact class present in the whole volume under investigation. We used two different datasets for training and evaluating our model. Specifically, we utilized 2,494 poor-quality dMRI volumes from the Adolescent Brain Cognitive Development and 4,226 from the Healthy Brain Network dataset. Our results demonstrate accurate multiclass volume-level main artifact type prediction with 96.61 and 97.52% average accuracies on the ABCD and HBN test sets, respectively. Finally, in order to demonstrate the effectiveness of the proposed framework in dMRI pre-processing pipelines, we conducted a proof-of-concept dMRI analysis exploring the relationship between whole-brain fractional anisotropy and participant age, to test whether the use of our model improves the brain-age association. (shrink)