This paper provides a systematic analysis of how hometown ties, the most common and distinct bases for interpersonal ties to build upon in China, could influence corporate governance in Chinese corporations by focusing on its impact on CEO dismissals and corporate social responsibility. We find that hometown ties between CEOs and board chairs reduce the likelihood of CEO dismissals and that the negative relationship between firm performance and CEO dismissals is weaker for hometown-connected CEOs in locally administered state-owned enterprises, for (...) inside CEOs, for firms located outside board chairs’ hometowns, and for firms operating in regions with low social trust. Moreover, we find consistent evidence that hometown ties affect Chinese firms’ engagement in corporate social responsibility. Our study highlights the important role of hometown ties in Chinese relationship-based corporate governance. It also advances a normative ethical assessment of hometown-based favoritism by highlighting its distinct dynamics and impacts on focal actors and the third parties in specific contexts of actions. (shrink)

Though a few scholars have discussed the transnational engagement of Caribbean thinkers with China, hitherto unknown is the imaginative alliance Left-wing Chinese writers crafted with the Caribbean via their works on the Haitian Revolution. This paper explores writings by four Chinese Marxists—Li Chunhui, Wang Chunliang, Lu Guojun, and Mao Xianglin—who engaged with Caribbean intellectuals, like Eric Williams, and used the history of the first anti-colonial revolution to rethink China’s own decolonial experiment. During the Maoist era, these thinkers argued for the (...) independence of the Haitian Revolution from the French Revolution, imagining Haiti’s revolutions as prefigurations of Third-World Revolution. In the deradicalized Deng era, these writers held contradictory stances towards capitalism, stressing how old and neocolonialism plundered Haiti. By reducing Sino-Caribbean relations to the Chinese diaspora in the Caribbean, or to the recent Belt and Road Initiative, scholars overlook lost revolutionary solidarities that aimed to dismantle world white supremacy. (shrink)

According to the dual-system theories, the decisions in an ultimatum game are governed by the automatic System 1 and the controlled System 2. The former drives the preference for fairness, whereas the latter drives the self-interest motive. However, the association between the contributions of the two systems in UG and the cognitive process needs more direct evidence. In the present study, we used the process dissociation procedure to estimate the contributions of the two systems and recorded participants eye movements to (...) examine the cognitive processes underlying UG decisions. Results showed that the estimated contributions of the two systems are uncorrelated and that they demonstrate a dissociated pattern of associations with third variables, such as reaction time and mean fixation duration. Furthermore, the relative time advantage and the transitions between the two payoffs can predict the final UG decisions. Our findings provide evidence for the independent contributions of preference for fairness and self-interest maximizing inclinations to UG and shed light on the underlying processes. (shrink)

Time preference reversals refers to systematic inconsistencies between preferences and valuations in intertemporal choice. When faced with a pair of intertemporal options, people preferred the smaller-sooner option but assign a higher price to the larger-later one. Different hypotheses postulate that the differences in evaluation scale or output format between the choice and the bid tasks cause the preference reversal. However, these hypotheses have not been distinguished. In the present study, we conducted a hybrid task, which shares the same evaluation scale (...) with the bid task and shares the same output format with the choice task. By comparing these three tasks, we can figure out the key reason for time preference reversal. The eye-tracking measures reflecting attention allocation, cognitive effort and information search pattern were examined. Results showed that participants' time preference and eye-tracking measures in the hybrid task were similar to those in the choice task, but different from those in the bid task. Our findings suggest that the output format is the core reason for time preference reversal and may deepen our understanding of the mechanisms that underlie time preference reversal. (shrink)

This is a review of the literature in the philosophy of medicine published in China from 1930 to 1980. The topics dealt with include the relationship between medicine and philosophy, the basic concepts of medicine, etiology and causality, the bearing of psychology on physiology and pathology, epistemology in diagnostics, methodology of medical sciences, philosophical and methological problems in traditional Chinese medicine, philosophical problems in health policy, and medical ethics.

本书结合对马克思、恩格斯哲学原著的研究探讨,对大学生们在学习中提出的若干问题进行了阐释。.

Short-term traffic flow prediction is an effective means for intelligent transportation system to mitigate traffic congestion. However, traffic flow data with temporal features and periodic characteristics are vulnerable to weather effects, making short-term traffic flow prediction a challenging issue. However, the existing models do not consider the influence of weather changes on traffic flow, leading to poor performance under some extreme conditions. In view of the rich features of traffic data and the characteristic of being vulnerable to external weather conditions, (...) the prediction model based on traffic data has certain limitations, so it is necessary to conduct research studies on traffic flow prediction driven by both the traffic data and weather data. This paper proposes a combined framework of stacked autoencoder and radial basis function neural network to predict traffic flow, which can effectively capture the temporal correlation and periodicity of traffic flow data and disturbance of weather factors. Firstly, SAE is used to process the traffic flow data in multiple time slices to acquire a preliminary prediction. Then, RBF is used to capture the relation between weather disturbance and periodicity of traffic flow so as to gain another prediction. Finally, another RBF is used for the fusion of the above two predictions on decision level, obtaining a reconstructed prediction with higher accuracy. The effectiveness and robustness of the proposed model are verified by experiments. (shrink)

Background The enhancement of nursing care quality is closely related to the clinical competence of nurses, making it a crucial component within health systems. Objective The present study investigated the relationship between nurses’ clinical competence, moral identity, and moral injury during the COVID-19 outbreak. Research design This cross-sectional study was carried out among frontline nurses, using the Moral Identity Questionnaire (MIQ), the Moral Injury Symptom Scale-Healthcare Professionals version (MISS-HP), and the Competency Inventory for Registered Nurse (CIRN) as data collection tools. (...) Participants and research context: The research population for this study consisted of all frontline nurses ( n = 251) employed in a hospital in southern Iran. Sampling was conducted between May 1, 2021 and September 30, 2021, during the COVID-19 outbreak. Ethical considerations The present study received approval from the research ethics committee of Rafsanjan University of Medical Sciences, with project No. 99267 and code of ethics ID No. IR. RUMS.REC.1399.262, dated 15.02.2021. Results According to the study findings, 42.2% of the nurses demonstrated high clinical competence, while 51.4% exhibited moderate clinical competence. The results indicated a positive correlation between moral identity and clinical competence but a negative correlation between moral injury and clinical competence. Furthermore, the variables of moral identity and moral injury were found to predict 10% of the variance in clinical competence. Conclusion According to the results, moral identity and moral injury had an impact on the clinical competence of nurses. Therefore, implementing a program aimed at enhancing moral identity and providing training strategies to address moral injury during crises like the COVID-19 pandemic can lead to improvements in nurses’ clinical competence and the overall quality of care they provide. (shrink)

Many studies demonstrate that people form their first impression of a stranger based on facial appearance, and these impressions influence their subsequent decisions and behaviors. However, much less research has examined the factors that moderate the accuracy of first impressions based on a photo of face. The present study included three experiments to explore gender differences in the accuracy of impressions based on faces. The results showed that people judge facial attractiveness more accurately for female faces than for male faces (...) while giving more accurate wealth judgments for male faces than for female faces. Interestingly, although we did not find a significant correlation between confidence ratings and the accuracy of wealth rating, we recognized a significant moderate correlation between confidence ratings and the accuracy of attractiveness ratings when female participants rated male faces. To our knowledge, the present study is the first to reveal gender biases in the accuracy of impression judgments based on facial appearance. These findings imply a significant influence of traditional gender roles on accurate facial judgments. (shrink)

To address the need for a valid and reliable scale of youth leadership potential based on the development theory of leadership, the current study developed the Youth Leadership Potential Scale (YLPS) and investigated its factor structure and psychometric properties in a sample of 696 students (grades 7-9) in China. Exploratory structural equation modeling (ESEM) identified a five-factor solution comprising leadership information, leadership attitude, communication skills, decision-making skills, and stress management skills. ESEM within confirmatory factor analysis demonstrated an adequate fit for (...) this structure. The scale showed good composite reliability and measurement invariance across different gender and grade/age groups. The scale also showed sufficient concurrent validity with the Coping Self-Efficacy Scale, the Chinese Roets Rating Scale for Leadership, and the Leadership Skills Inventory. Furthermore, criterion-related validity was supported by the relationship between YLPS scores and the length of student leadership positions. The results suggest that the YLPS is a valid and pragmatic measure for assessing youth leadership potential. The current study is the first to develop a youth leadership potential scale based on the development theory of leadership. (shrink)

本书主要介绍了先秦、汉代、宋代、近代四个时期传统义利思想的历史发展及中国传统义利思想对日本义利观的影响。.

Economic and social disruptions of the COVID-19 pandemic have important implications for gender and class inequality. Drawing on Statistics Canada’s monthly Labour Force Survey, we document trends in gender gaps in employment and work hours over the pandemic. Our findings highlight the importance of care provisions for gender equity, with gaps larger among parents than people without children, and most pronounced when care and employment were more difficult to reconcile. When employment barriers eased, so did the gender–employment gap. The pandemic (...) could not undo longer-standing cultural and structural shifts motivating contemporary mothers’ employment. The pandemic also exacerbated educational inequalities among women, highlighting the importance of assessing gendered impacts through an intersectional lens. (shrink)

We examine the link between a firm’s environmental and social disclosures and measures of its risk including total, systematic, and idiosyncratic risk. While we do not find any link between a firm’s E and S disclosures and its systematic risk, we find a negative and significant association between these disclosures and a firm’s total and idiosyncratic risk. These are novel findings and are consistent with the predictions of the stakeholder theory and the resource-based view of the firm suggesting that firms (...) which make extensive and objective E and S disclosures promote corporate transparency that can help them build a positive reputation and trust with their stakeholders. This in turn can help mitigate the firms' idiosyncratic/operational risk. These findings are important for all corporate stakeholders including managers, employees, and suppliers who have a significant economic interest in the survival and success of the firm. (shrink)

Decades of empirical and theoretical research has produced an extensive literature on the ethical judgments construct. Given its importance to understanding people’s ethical choices, future research should explore the psychological processes that produce ethical judgments. In this paper, the authors discuss two steps needed to advance this effort. First, they note that the business ethics literature lacks a single, generally accepted definition of ethical judgments. After reviewing several extant definitions, the authors offer a definition of the construct and discuss its (...) advantages. Second, future ethical judgment research would benefit from greater integration between theories of ethical decision making and theories of social cognition. Drawing upon the Hunt–Vitell ( Journal of Macromarketing 6 (Spring), 5–15, 1986 ; In: N. C. Smith and J. A. Quelch (eds.), Ethics in Marketing . Irwin, Homewood, IL, pp. 775–784, 1992 ) model and the heuristic-systematic model (Chaiken, Journal of Personality and Social Psychology 39 (November), 752–766, 1980 ), the authors present a brief research agenda intended to stimulate research on the psychological processes behind ethical judgments. (shrink)

This study focuses on mindfulness programs in the corporate world, which are receiving increasing attention from business practitioners and organizational scholars. The workplace mindfulness literature is rapidly evolving, but most studies are oriented toward demonstrating the positive impacts of mindfulness as a state of mind. This study adopts a critical perspective to evaluate workplace mindfulness practice as a developmental process, with a focus on its potential risks that have ethical implications and are currently neglected by both researchers and practitioners. We (...) draw from a Buddhist perspective that understands mindfulness training as an ethics-based, longitudinal, and holistic path. To this end, we develop a four-stage model to illustrate a potential developmental process for participants in workplace mindfulness programs. This model comprises four stages of preliminary concentration, deep concentration, self-transcendence, and reengagement, each of which has its own underlying characteristics and impacts on individual participants and organizations. (shrink)

A growing group of Chinese students is returning to China following graduation, especially young returnees. This group is seen as one of the most innovative sectors of Chinese society. Based on the theory of planned behavior and three kinds of capital theories, this study explores entrepreneurial intention and its influencing factors among Newly Returned Chinese International Students. A survey of 211 NRCIS showed a low level of EI and little knowledge of supporting policies about entrepreneurship. Influencing factors included culture harmony (...) as culture capital, overseas social networks as social capital, and foreign entrepreneurship education and foreign language proficiency as human capital. Attitude mediated the effects of foreign language proficiency, culture harmony, and foreign entrepreneurship education on EI. Perceived behavior control mediated the effect of foreign language proficiency, Chinese language proficiency, culture harmony, foreign entrepreneurship education, domestic entrepreneurship education, and overseas social networks on EI, and subjective norms have no significant mediating effect in any mediation path. Based on these findings, policymakers could pay attention to examining whether the current policies are working and accessible for NRCIS, and domestic entrepreneurship education could keep cultivating students' cross-cultural communication and understanding abilities, and society and education sectors could encourage positive cognition of entrepreneurship and guide students to form a positive attitude toward entrepreneurship and enhance their confidence. (shrink)

BACKGROUND: Ontologies play a major role in life sciences, enabling a number of applications, from new data integration to knowledge verification. SNOMED CT is a large medical ontology that is formally defined so that it ensures global consistency and support of complex reasoning tasks. Most biomedical ontologies and taxonomies on the other hand define concepts only textually, without the use of logic. Here, we investigate how to automatically generate formal concept definitions from textual ones. We develop a method that uses (...) machine learning in combination with several types of lexical and semantic features and outputs formal definitions that follow the structure of SNOMED CT concept definitions. RESULTS: We evaluate our method on three benchmarks and test both the underlying relation extraction component as well as the overall quality of output concept definitions. In addition, we provide an analysis on the following aspects: How do definitions mined from the Web and literature differ from the ones mined from manually created definitions, e.g., MeSH? How do different feature representations, e.g., the restrictions of relations' domain and range, impact on the generated definition quality?, How do different machine learning algorithms compare to each other for the task of formal definition generation?, and, What is the influence of the learning data size to the task? We discuss all of these settings in detail and show that the suggested approach can achieve success rates of over 90%. In addition, the results show that the choice of corpora, lexical features, learning algorithm and data size do not impact the performance as strongly as semantic types do. Semantic types limit the domain and range of a predicted relation, and as long as relations' domain and range pairs do not overlap, this information is most valuable in formalizing textual definitions. CONCLUSIONS: The analysis presented in this manuscript implies that automated methods can provide a valuable contribution to the formalization of biomedical knowledge, thus paving the way for future applications that go beyond retrieval and into complex reasoning. The method is implemented and accessible to the public from: https://github.com/alifahsyamsiyah/learningDL. (shrink)

A fundamental aspect of human cognition is the ability to parse our constantly unfolding experience into meaningful representations of dynamic events and to communicate about these events with others. How do we communicate about events we have experienced? Influential theories of language production assume that the formulation and articulation of a linguistic message is preceded by preverbal apprehension that captures core aspects of the event. Yet the nature of these preverbal event representations and the way they are mapped onto language (...) are currently not well understood. Here, we review recent evidence on the link between event conceptualization and language, focusing on two core aspects of event representation: event roles and event boundaries. Empirical evidence in both domains shows that the cognitive representation of events aligns with the way these aspects of events are encoded in language, providing support for the presence of deep homologies between linguistic and cognitive event structure. (shrink)

In the big data era, sequencing technology has produced a large number of biological sequencing data. Different views of the cancer genome data provide sufficient complementary information to explore genetic activity. The identification of differentially expressed genes from multiview cancer gene data is of great importance in cancer diagnosis and treatment. In this paper, we propose a novel method for identifying differentially expressed genes based on tensor robust principal component analysis, which extends the matrix method to the processing of multiway (...) data. To identify differentially expressed genes, the plan is carried out as follows. First, multiview data containing cancer gene expression data from different sources are prepared. Second, the original tensor is decomposed into a sum of a low-rank tensor and a sparse tensor using TRPCA. Third, the differentially expressed genes are considered to be sparse perturbed signals and then identified based on the sparse tensor. Fourth, the differentially expressed genes are evaluated using Gene Ontology and Gene Cards tools. The validity of the TRPCA method was tested using two sets of multiview data. The experimental results showed that our method is superior to the representative methods in efficiency and accuracy aspects. (shrink)

After around four decades of fast growth, the cruise industry has become the most profitable and dynamic segment in the entire global leisure and tourism sector. Behind this growth is a significant shift in the profile of cruise consumers/passengers/tourists, with growth rates twice as fast as those of other types of tourists. China has become a strategic emerging market for the global cruise industry, quickly developing their cruise reception business and holding about 10% of the market share of global cruisers. (...) In this paper, we examine and categorize various travel motivations of Chinese cruise tourists by means of a questionnaire via factor analysis, mean analysis, and K-cluster analysis. The results of the study indicate that Chinese cruise tourists are primarily encouraged to participate in cruise tourism by the motivational dimensions of family leisure/relaxation, natural and cultural exploration, bond/communication, social respect, tourism shopping, and cruise-promotion information sources. The strongest motivations for Chinese cruise tourists were found to be family leisure/relaxation and natural/cultural exploration. We identify four types of cruisers using the K-means cluster method. We find that for all cruiser demographics, leisure/relaxation is the most important motivational factor. Based on these results, we propose some specific solutions for expanding the customer pool in the Chinese cruise market. (shrink)

The escalating integration of Artificial Intelligence (AI) in clinical settings carries profound implications for the doctrine of informed consent, presenting challenges that necessitate immediate attention. China, in its advancement in the deployment of medical AI, is proactively engaging in the formulation of legal and ethical regulations. This paper takes China as an example to undertake a theoretical examination rooted in the principles of medical ethics and legal norms, analyzing informed consent and medical AI through relevant literature data. The study reveals (...) that medical AI poses fundamental challenges to the accuracy, adequacy, and objectivity of information disclosed by doctors, alongside impacting patient competency and willingness to give consent. To enhance adherence to informed consent rules in the context of medical AI, this paper advocates for a shift towards a patient‐centric information disclosure standard, the restructuring of medical liability rules, the augmentation of professional training, and the advancement of public understanding through educational initiatives. (shrink)