Mystical religious experiences typically purport to engage with the transcendent and often claim to involve encounters with spiritual entities or a detachment from the material world. Daoism diverges from this paradigm. This paper examines Daoist mystical experiences of bodily transformations and explores their epistemological implications. Specifically, we defend the justificatory power of Daoist somatic experiences against the disanalogy objection. The disanalogy objection posits that mystical experiences, in contrast to sense perceptions, are not socially verifiable and thereby lack prima facie epistemic (...) value. We argue that some Daoist mystical bodily states, being essentially spatiotemporal, are exempt from this challenge. This leads to a broader understanding of mysticism and offers a partial resolution to the disanalogy objection. (shrink)

The autophagy initiation complex is brought about via a highly ordered and stepwise assembly process. Two crucial signaling molecules, mTORC1 and AMPK, orchestrate this assembly by phosphorylating/dephosphorylating autophagy‐related proteins. Activation of Atg1 followed by recruitment of both Atg9 vesicles and the PI3K complex I to the PAS (phagophore assembly site) are particularly crucial steps in its formation. Ypt1, a small Rab GTPase in yeast cells, also plays an essential role in the formation of the autophagy initiation complex through multiple regulatory (...) pathways. In this review, our primary focus is to discuss how signaling molecules initiate the assembly of the autophagy initiation complex, and highlight the significant roles of Ypt1 in this process. We end by addressing issues that need future clarification. (shrink)

Stephen Yablo’s notion of proportionality, despite controversies surrounding it, has played a significant role in philosophical discussions of mental causation and of high-level causation more generally. In particular, it is invoked in James Woodward’s interventionist account of high-level causation and explanation, and is implicit in a novel approach to constructing variables for causal modeling in the machine learning literature, known as causal feature learning (CFL). In this article, we articulate an account of proportionality inspired by both Yablo’s account of proportionality (...) and the CFL account of variable construction. The resulting account has at least three merits. First, it illuminates an important feature of the notion of proportionality, when it is adapted to a probabilistic and interventionist framework. The feature is that at the center of the notion of proportionality lies the concept of “determinate intervention effects.” Second, it makes manifest a virtue of (common types of) high-level causal/explanatory statements over low-level ones, when relevant intervention effects are determinate. Third, it overcomes a limitation of the CFL framework and thereby also addresses a challenge to interventionist accounts of high-level causation. (shrink)

Widespread unethical corporate misconduct in an industry triggers industry-wide crises. This research investigates how industry misconduct affects consumers’ trust in the industry, by incorporating insights from a micro-level psychological aspect of institutions. The conceptual framework proposes that consumer legitimacy judgement lies at the core of industry trust, following an industry-wide crisis. The results demonstrate that perception of normalisation of misconduct affects industry trust through consumer legitimacy judgement. Moreover, the PNM-CLJ-industry trust relationship is stronger during industry-wide crises compared with crises that (...) involve only one firm, and this relationship is not dependent on the frequency of crises. This research contributes to the knowledge of product-harm crisis by deepening understanding of the trust erosion mechanism during industry-wide crises, with a focus on legitimacy judgement. The findings have implications for prevention of industry-wide crises and for boosting ethically desirable business activities. (shrink)

本书介绍了职业道德的特征、社会主义职业道德的基本原则和规范,职业道德的教育、修养和评价等内容。.

In recent years, attention to researchers’ scientific misconduct has increased dramatically. Although existing research reflects a shared value that occupational calling is an ethical good (i.e., being more likely to make ethical choices), no empirical study has yet examined the ethical outcomes of occupational calling. Drawing on the integrated ethical decision-making model (I-EDM), this study first investigated _whethe_r occupational calling inhibits researchers’ unethical decision-making. Secondly, it examined _why_ and _when_ occupational calling relates to researchers’ unethical decision-making. The findings from a (...) four-wave survey, with 257 researchers working in research roles in universities in China, reveal that occupational calling (time 1) inhibits researchers’ unethical decision-making (time 4). Moral disengagement (time 3) provides an explanation for the negative link between occupational calling (time 1) and unethical decision-making (time 4). The moderated mediation analysis further shows that the inhibitory effect of occupational calling (time 1) on researchers’ unethical decision-making (time 4) disappears when the work-unit structure (time 2) is perceived to be organic. These findings provide meaningful theoretical and practical implications for research and practice. (shrink)

Tribunals have come to depend increasingly on expertise for determining the facts in cases. However, current legal methods have proved problematic to work with. This paper argues that, as a special model of public understanding of science, assessing expertise should consider source credibility of expertise from internal aspects, including scientific validity and reliability, and external aspects involving the credibility of experts. Using the Carneades Argumentation System we show that the internal and the external aspects are mediated by the structure of (...) the argument from expert opinion with its matching set of critical questions. (shrink)

The era of sustainable transformation has witnessed an increase in corporate environmental, social, and governance (ESG) disclosure waves. Using Chinese A-share listed companies from 2016 to 2021 as a sample, this study adopted textual analysis and machine-learning techniques to analyze ESG reports and explore the imitation behavior of ESG disclosures in emerging Chinese markets for the first time. The results show imitation behavior exists in corporate ESG disclosures from the perspective of group association. Regarding the imitation object, enterprises tend to (...) choose the peer average level as a reference rather than the best enterprise in the same industry, which reveals the inherent law that enterprises' ESG disclosures are satisfied with compliance rather than championship. In terms of effects, the ESG-mimetic isomorphic pressure has no incremental information effect but has an efficiency optimization effect. Furthermore, the imitation intensity and impact effects of ESG disclosure behavior exhibit heterogeneity owing to differences in properties, sales growth rates, and external attention. This study expands the motivation for corporate ESG disclosure behavior and enriches the empirical evidence for institutional isomorphism. (shrink)

In a commercialised and globalised China, museum institutions are pivotal elements in public strategies to present and create national self‐consciousness, insofar as their vast collections provide symbols of cultural identification on a national as well as an international level. This article will explore Chinese public museum policy and impact, firstly by describing the current status of the system as background information; secondly, by presenting the most recent trends in museum strategies and finally, by replacing the challenges and complexities of the (...) museum system in a broader context. The analysis will draw from first hand material from interviews and informal conversations with museum professionals, small‐scale visitor surveys as well as the most recent facts and figures, and it will be illustrated by examples and supported by secondary sources. (shrink)

Corporate social responsibility (CSR) activities have become increasingly prevalent in retail settings. In franchised organizations, franchisors typically design and coordinate these activities, leaving operational execution to franchisees. Meanwhile, franchisors may introduce new corporate-led CSR activities over time. Even though changes to CSR activities may refocus outlets’ attention on a CSR initiative, they may also disrupt an outlet’s ongoing CSR routines. Using a longitudinal, secondary dataset consisting of an eight-year panel for a national, franchised restaurant chain, we examine CSR performance dynamics (...) in the presence of two distinct types of CSR activities: an ongoing CSR routine and a distinct, temporary CSR campaign. We find that, when resuming the CSR routine after a temporary CSR campaign, outlets’ performance in CSR routines drops significantly (i.e., immediate decay), then improves gradually (i.e., protracted recovery). We also consider the moderating role of an outlet’s experience, finding that experience stabilizes these decay and recovery cycles. Our findings represent a first step in developing a longitudinal understanding of how a firm’s short-term CSR campaigns may impact ongoing CSR routines, thus contributing to the knowledge of CSR activity development and routinization. (shrink)

Corporate social responsibility (CSR) is becoming increasingly important in China. This paper investigates the implementation of instruments for dimensions of CSR that are relevant for the Chinese context and the challenges that Chinese companies face. Based on a survey among 109 Chinese companies, we find that formal instruments to implement CSR are rather common. Companies spend most effort in improving the economic aspects of CSR, such as competitiveness, product innovation and process innovation. Only a small minority of the companies set (...) concrete targets and report the realization of these targets for social and environmental goals. This indicates that the attention to social and environmental aspects of CSR is still rather loose. The most important challenges for improving CSR are strong competitive pressure, insufficient support from the government and/or nongovernmental organizations and high costs of CSR implementation. Multiple regression analysis shows that the use of instruments is positively related to company size and foreign ownership and negatively related to lack of resources and support for CSR by investors and consumers. (shrink)

Although the ethical aspects of transformational leadership have attracted considerable attention, very little is known about followers’ reactions to the moral and immoral conduct of transformational leaders. Against this background, this study examined whether and how transformational leadership interacts with moral and authoritarian leadership behaviors in predicting followers’ in-role and extra-role efforts. Building on attribution theory, we hypothesized that the positive and negative effects of these leadership behaviors would be particularly pronounced for highly transformational leaders given that this leadership style (...) elicits strong attention and sense-making efforts among followers. We tested our model in a sample of 228 individuals comprising 114 leader–follower dyads from a wide range of organizations and industries. In line with our hypotheses, results revealed that for highly transformational leaders, moral leadership behaviors related positively to employees’ in-role and extra-role efforts whereas authoritarian leadership behaviors related negatively to employees’ in-role and extra-role efforts. In contrast, moral and authoritarian leadership behaviors did not significantly affect followers’ reactions to leaders low in transformational leadership. Taken together, these findings suggest that transformational leadership, contrary to its largely positive perception in the literature, can be a rather mixed blessing. Implications for theory, future research, and managerial practice are discussed. (shrink)

An increasingly worrying trend is enterprises undertaking greenwashing rather than producing actual green products. When such greenwashing behaviours are exposed, green brand trust between enterprises and stakeholders may be damaged, resulting in stakeholders becoming suspicious of these supposedly green brands. Then, enterprises need to adopt several trust repair strategies to repair the damaged green brand trust. We investigated green brand trust repair from a green brand legitimacy perspective and found the following: (1) higher green brand legitimacy suggests the use of (...) considered informational, emotional and corrective repair strategies. (2) Meanwhile, lower green brand legitimacy requires the use of timely informational, emotional and corrective repair strategies. Using the correct set of repair strategies may provide practical and effective approaches for enterprises to repair their brand trust. (shrink)

While the rate of Internet use among the older population in China is rapidly increasing, the outcomes associated with Internet use remain largely unexplored. Currently, there are contradictory findings indicating that Internet use is sometimes positively and sometimes negatively associated with older adults’ subjective well-being. Therefore, we examined the associations between different types of Internet use, social networks, and loneliness among Chinese older adults using data from the Chinese Longitudinal Ageing Society Survey. Internet use was classified as interpersonal communication and (...) information acquisition, and social networks were divided into family and friendship ties. The results showed that both interpersonal communication and information acquisition were associated with lower loneliness. Interpersonal communication can increase social networks, and family ties have a mediating effect on the association between Internet use for interpersonal communication and loneliness. Although information acquisition can directly decrease loneliness in older adults, it can also damage existing social networks and further increase loneliness. Family ties act as a suppressor in the association between Internet use for information acquisition and loneliness. Our study further discusses important implications for improving the subjective well-being of older adults in the digital era, based on the empirical findings. (shrink)

Social media chat groups, such as WeChat and WhatsApp groups, are widely applied in online communication. This research has conducted two studies to examine the individual level and collective level’s opinion dynamics in those groups. The opinion dynamic is driven by two variables, people’s perceived peer support and willingness of opinion expression. The perceived peer support influences the willingness of opinion expression, and the willingness influences the dynamics of real opinion-expression. First, the quasi-experimental study recruited twenty-five participants as the observation (...) group and found that decreasing perceived peer support would significantly increase individuals’ expression willingness to protect his/her opinion. To generalize the individual level findings to a collective level, the second study treated the social media chat groups as an undirected fully-connected social network and simulated people’s opinion expression dynamics with an agent-based model. The simulation indicated that with the help of increased willingness of opinion expression, the minority opinion supporters as a collective did not fall silent but continue to express themselves and increasing willingness of opinion expression would maintain the existence of minority opinion but could not help the minority reverse to the majority. (shrink)

Aiming at the problem of insufficient health monitoring of the elderly in the existing home care system, this paper designs a health information analysis and early warning system based on the Internet of Things technology, which can monitor the physiological data of the elderly in real time. It also can be based on the elderly real-time monitoring data, physical examination data, and other types of health data, which can be used to predict diseases, so as to achieve “early detection and (...) early treatment” of diseases. First, analyse and design the architecture and content of the home care monitoring system based on the Internet of Things. Secondly, based on the collected heart rate, blood pressure, and three-axis acceleration information of the elderly, it is analysed to determine whether the elderly are in danger of falling, and the designed system is used for early warning. Finally, this paper analyses the prediction algorithm theory of the disease prediction module in the health monitoring software of the home care system. In order to improve the accuracy of prediction, the DS evidence theory is used to optimize the traditional BP neural network algorithm and conduct experimental tests. The test results show that the health information analysis and early warning software of the home care system meet actual needs and achieve the expected goals. (shrink)

Consider chemical elements as a system, we create an undirected chemical network with 99 elements and 1916 edges from Chemspider, a website that provide search engines to collect compounds. Using this network and the network that we used in our previous work with 97 elements and 2198 edges, we found that RootedPageRank, a link prediction tool in complex network, can be used to predict potential binary compounds, because the changing trend of PageRank probability of each element in these networks all (...) follow the periodic law, despite of the difference of scale of these networks. The accuracy test indicates that at least 7 among top 10 predicted compoundss in one network can be verified using the compoundss in the other network or in other chemical database, proving that this method can be used to provide guidance in finding potential binary compounds, suggesting that we can study chemical properties from the view of complex network. (shrink)

Business Ethics, the Environment &Responsibility, EarlyView.

This study aims to explore the current situation and strategy formulation of sports psychology teaching in colleges and universities following adaptive learning and deep learning under information education. The informatization in physical education, teaching methods, and teaching processes make psychological education more scientific and efficient. First, the relevant theories of adaptive learning and deep learning are introduced, and an adaptive learning analysis model is implemented. Second, based on the deep learning automatic encoder, college students’ sports psychology is investigated and the (...) test results are predicted. Finally, the current situation and development strategy of physical education in colleges and universities are analyzed. The results show that when the learning rate is 1, 0.1, and 0.01, there is no significant change in the analysis factors of recall, ndcg, item_coverage, and sps. When the learning rate is 1, their analysis factors change obviously, and it is calculated that the optimal learning rate of the model is 1. And the difficulty of the recommended test questions by using the sports psychology teaching method based on adaptive learning and deep learning is relatively stable. The test questions include various language points of sports psychology. Compared with others methods, adaptive learning and deep learning can provide comprehensive test questions for sports psychology teaching. This study provides technical support for the reform of sports psychology teaching in colleges and universities and contributes to optimizing the information-based teaching mode. (shrink)

Objectives: This study aimed to provide a comprehensive understanding of all intervention for learning burnout by meta-analyzing their effects.Methods: Relevant studies that had been published up to September 18, 2020, were identified through a systematic search of the PubMed, Web of Science, the China National Knowledge Infrastructure, and Wan Fang databases. Eligible studies included randomized control trials of any learning burnout intervention conducted among students. The Jadad scale was used to evaluate the quality of the study. Random-effect meta-analyses, subgroup analyses, (...) meta-regression analysis, and sensitivity analysis were conducted. Funnel plots and Egger's tests were used to evaluate publication bias. Duval and Tweedie's non-parametric trim-and-fill method was used to adjust the effect of publication bias.Results: Of the 5,245 articles found, 39 met the inclusion criteria for the systematic review. There were 3,400 students, including 1,847 students in the intervention group and 1,553 in the control group. A meta-analysis of 44 studies showed that the interventions were effective. Subgroup analyses were conducted according to education, scales, intervention measures, and intervention time. The results showed that, compared with the control group, the learning burnout scores of undergraduates, secondary vocational students, and middle school students were significantly lower. Based on different scales, all interventions were also effective. The funnel plot was asymmetric and consistent with the results of Egger's test. The trim-and-fill method was used, and seven missing studies were merged to obtain a symmetric funnel plot.Conclusions: This meta-analysis indicated that learning burnout interventions are effective. The subgroup analyses showed that group counseling is the most widely used, exercise intervention is probably the most effective, and 8 weeks or more is the appropriate intervention time. An integrated intervention study based on the factors of learning burnout adds value. More studies are needed to supplement the results in the future. (shrink)

Law article prediction is a task of predicting the relevant laws and regulations involved in a case according to the description text of the case, and it has broad application prospects in improving judicial efficiency. In the existing research work, researchers often only consider a single case, employing the neural network method to extract features for prediction, which lack the mining of related and common element information between different data. In order to solve this problem, we propose a law article (...) prediction method that integrates the characteristics of common elements. It can effectively utilize the co-occurrence information of the training data, fully mine the relevant common elements between cases, and fuse local features. Experiments show that our method performs well. (shrink)

Direct electrical stimulation has been widely applied in both guidance of lesion resection and scientific research; however, the design and selection of intraoperative cognitive mapping tasks have not been updated in a very long time. We introduce updated mapping tasks for language and non-language functions and provide recommendations for optimal design and selection of intraoperative mapping tasks. In addition, with DES becoming more critical in current neuroscientific research, a task design that has not been widely used in DES yet was (...) introduced for more delicate mapping of brain functions especially for research purposes. We also illustrate the importance of designing a common task series for DES and other non-invasive mapping techniques. This review gives practical updated guidelines for advanced application of DES in clinical and neuroscientific research. (shrink)

The consistency of a second-order version of Morley’s Theorem on the number of countable models was proved in [EHMT23] with the aid of large cardinals. We here dispense with them.

Most of the existing literature on social preferences either tests whether certain characteristics of the social context influence individual decisions, or tries to estimate parameters of social preference functions describing such behavior at the level of the entire population. In the present paper, we are concerned with measuring parameters of social preference functions at the individual level. We draw upon concepts developed for eliciting other types of utility functions, in particular the literature on decision making under incomplete information. Our method (...) derives parameters of social preference functions from indifference statements about the distribution of payoffs a group. We apply our method in a controlled social preference experiment to establish the external validity of estimated parameters. Our results show the expected relationships to some external factors and also a strong correspondence between parameter estimates and factors that, according to the subjects’ own descriptions, influenced their behavior. We also find that some concepts discussed in the literature on social preferences, in particular envy toward players receiving a larger payoff, have very diverse and complex effects at the individual level. (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)

It has been a growing trend in Chinese universities to shift from English for general purposes to English for specific purposes teaching. Against this background, large groups of teachers previously engaged in teaching EGP have become or are becoming ESP teachers, which means a complex process of learning for subject-specific information, transforming teaching practices and constructing new identities. Despite this, very little has been written about the ESP teacher cognition of language teaching or the factors influencing this shift in teaching. (...) This study involved English for Medical Purposes teachers in Chinese universities as participants, and a scale of EMP TC with 31 items was developed on the basis of questionnaire results. Data from exploratory factor analysis revealed six dimensions of the scale, namely, teacher attitude, teacher belief, teacher learning, teacher support, role identification, and teacher practice—that combine to constitute and influence EMP TC. While the identity factor has attracted wide attention in ESP teacher research, other factors have largely been neglected. Thus, this research highlights the importance of more factors in shaping and changing the language teaching cognition of EMP or ESP teachers in large, especially the teacher belief factor. In addition, results of independent samples t-tests indicated significant difference in EMP teacher learning in terms of gender, differences in EMP teacher attitude and teacher support in terms of EMP teaching experience. Suggestions for enhancing EMP TC are offered on the basis of the conclusions of this research. (shrink)

BackgroundPsychological distress is common among infertility patients. Total scale scores are often used to represent the severity of anxiety, depression, or stress, which ignores important differences between specific symptoms, and relationships between symptoms. This study aimed to identify patterns of psychological distress experienced by infertility patients and to identify the most central symptoms of anxiety, depression, and stress.MethodFrom June to September 2016, 740 infertility patients were included in this cross-sectional study. Infertility patients were asked to complete the Generalized Anxiety Disorder-7, (...) Patients Health Questionnaire-9 (PHQ-9), and Fertility Problem Inventory. Network analysis was used to examine the patterns of psychological distress in infertility patients and to test the most central symptoms of anxiety, depression, and stress.ResultsRestlessness was the most central symptom in infertility patients. “Feelings of guilt” had the highest strength among PHQ-9 symptoms. “Relationship concern stress” and “sexual concern stress” had the strongest connections in the network. Stability estimation indicated that the order of node strength centrality was more stable than the order of closeness and betweenness (the CS-coefficients were 0.75, 0.13, and 0.67, respectively). In addition, network structure and global strength were invariant across gender.LimitationsThe cross-sectional design did not permit identification of causal relationships. Patients in this study were recruited from one reproductive hospital; especially, most patients had low socioeconomic status, which limits generalizability of the findings.ConclusionThis study reinforces the need to better understand the underlying causes of psychological distress in infertile patients. A more detailed investigation of the relationship between these symptoms could provide information for psychosocial interventions aimed beyond “alleviating psychological distress.” We should consider the individual psychological symptom pattern and its potential causes in infertility patients instead of assuming a consistent psychological distress structure. (shrink)

Factory workers make up a large proportion of China’s internal migrants and may be highly susceptible to job and adaptation stress, negative affective states, and Internet gaming disorder. This cross-sectional study investigated the relationships between job stress, psychological adaptation, negative affective states and IGD among 1,805 factory workers recruited by stratified multi-stage sampling between October and December 2019. Structural equation modeling was conducted to test the proposed mediation model. Among the participants, 67.3% were male and 71.7% were aged 35 years (...) old or below. The prevalence of probable depression, probable anxiety, and IGD was 39.3, 28.7, and 7.5%. Being male, younger age, and shorter duration of living in Shenzhen were associated with higher IGD scores. Job stress was significantly associated with IGD but not with negative affective states. Psychological adaptation was significantly associated with negative affective states. Negative affective states were positively associated with IGD. The indirect effect of psychological adaptation but not job stress on IGD through negative affective states was statistically significant. The observed psychological correlates and mechanisms are modifiable, and can inform the design of evidence-based prevention programs for depression, anxiety, and IGD in this population. (shrink)

The pressure control for a liquid nature gas ship is vital for the cargo handling system which is a nonlinear, unstable, and controllable complex system accompanied by the dynamics of time delay. To improve the control effect, this article proposed a robust controller based on closed-loop gain shaping algorithm by mirror-mapping approach. In addition, the complete mechanism models for the system are established to predict the changes of temperature, pressure, and liquid inventory in the cargo tank. The heat exchanges and (...) evaporation of liquid are also considered. By collecting the data from the LNG ship “Dapeng,” the system models are validated. At the same time, the comparative experiment is introduced to verify the reliability and effectiveness. The scheme has been compared with the 2-DOF structure control law of modified Smith predictor. The comparative experimental results show that the scheme proposed in this note has a strong disturbance rejection ability and steady-state performance. The controller designed in this note has advantages of simplified construction method, satisfactory control effect and robustness. (shrink)

Schizophrenia is considered as a self-disorder with disordered local synchronous activation. Previous studies have reported widespread dyssynchrony of local activation in patients with SZ, which may be one of the crucial physiological mechanisms of SZ. To further verify this assumption, this work used a surface-based two-dimensional regional homogeneity approach to compare the local neural synchronous spontaneous oscillation between patients with SZ and healthy controls, instead of the volume-based regional homogeneity approach described in previous study. Ninety-seven SZ patients and 126 HC (...) were recruited to this study, and we found the SZ showed abnormal 2dReHo across the cortical surface. Specifically, at the global level, the SZ patients showed significantly reduced global 2dReHo; at the vertex level, the foci with increased 2dReHo in SZ were located in the default mode network, frontoparietal network, and limbic network ; however, foci with decreased 2dReHo were located in the somatomotor network, auditory network, and visual network. Additionally, this work found positive correlations between the 2dReHo of bilateral rectus and illness duration, as well as a significant positive correlation between the 2dReHo of right orbital inferior frontal gyrus with the negative scores of the positive and negative syndrome scale in the SZ patients. Therefore, the 2dReHo could provide some effective features contributed to explore the pathophysiology mechanism of SZ. (shrink)