The Daoist culture occupies a very important place within traditional Chinese culture. This Daoist philosophy has also played a key role in the world of Chinese thought and—along with Confucianism and Buddhism—formed one of the three pillars which make up traditional Chinese culture. In the modern world, it still serves a not insignificant role in the development of modern China's spiritual civilization and scientific technology.

Scholarly interest in employees’ voluntary pro-environmental behavior has begun to emerge. While this research is beginning to shed light on the predictors of workplace pro-environmental behavior, our understanding of the psychological mechanisms linking the various antecedents to employees’ environmentally responsible behavior and the circumstances under which any such effects are enhanced and/or attenuated is incomplete. The current study seeks to fill this gap by examining: the effects of perceived corporate social responsibility on employees’ voluntary pro-environment behavior; an underlying mechanism that (...) links CSR perceptions to these behaviors; and a boundary condition to these relationships. Data from 183 supervisor-subordinate dyads employed in large- and medium-sized casinos and hotels in Guangdong China and Macau revealed that employees’ corporate social responsibility perceptions indirectly affect their engagement in voluntary pro-environmental behavior through organizational identification, and these effects are stronger for employees high in empathy. (shrink)

The economical/environmental scheduling problem of the ship integrated energy system has high computational complexity, which includes more than one optimization objective, various types of constraints, and frequently fluctuated load demand. Therefore, the intelligent scheduling strategies cannot be applied to the ship energy management system online, which has limited computing power and storage space. Aiming at realizing green computing on SEMS, in this paper a typical SIES-EESP optimization model is built, considering the form of decision vectors, the economical/environmental optimization objectives, and (...) various types of real-world constraints of the SIES. Based on the complexity of SIES-EESPs, a two-stage offline-to-online multiobjective optimization strategy for SIES-EESP is proposed, which transfers part of the energy dispatch online computing task to the offline high-performance computer systems. The specific constraints handling methods are designed to reduce both continuous and discrete constraints violations of SIES-EESPs. Then, an establishment method of energy scheduling scheme-base is proposed. By using the big data offline, the economical/environmental scheduling solutions of a typical year can be obtained and stored with more computing resources and operation time on land. Thereafter, a short-term multiobjective offline-to-online optimization approach by SEMS is considered, with the application of multiobjective evolutionary algorithm and typical schemes corresponding to the actual SIES-EESPs. Simulation results show that the proposed strategy can obtain enough feasible Pareto solutions in a shorter time and get well-distributed Pareto sets with better convergence performance, which can well adapt to the features of real-world SIES-EESPs and save plenty of operation time and storage space for the SEMS. (shrink)

Truth-telling for terminally ill patients is a challenging ethical and social issue for Chinese health care professionals. However, despite the existence of ethical and moral standards for nurses, they frequently encounter moral dilemmas when making decisions about truth-telling to patients with end-stage diseases in China. This article aims to provide ethical strategies for clinical nurses in China regarding truth-telling decisions for terminally ill patients on the basis of their individual autonomy. This article first presents a common case scenario in China (...) and then critically discusses ethical issues related to ethical principles and philosophical theories. The aim is to provide the much needed strategy for truth-telling for nurses who are terminally ill rather than to focus on attitudes toward disclosure. This article focuses on nursing morality, ethics, norms, and philosophy in health care and discusses countermeasures taken by nurses in truth-telling decision-making in combination with Chinese Confucian culture. The analysis identifies key ethical strategies tailored to Chinese nurses’ practices, emphasizing individual autonomy, cultural sensitivity, and family dynamics in truth-telling decisions. The complexity of end-of-life illness requires Chinese nurses to strengthen the communication training needed to deliver bad news, as well as critical and autonomous thinking and good communication skills when implementing patient- and family-centered care, to achieve true delivery of bad news, thereby increasing patient autonomy and promoting more successful collaboration among patients, families, and providers. To improve the quality of care. Chinese nurses should integrate ethical principles with Confucian values to enhance patient-centered communication, respecting autonomy while adapting to cultural nuances in end-of-life care. (shrink)

A multiphase study tested a proposed mediated moderation model for the joint effects of ethical pressure and power distance orientation on accountants’ ethical judgments of earnings management. Results based on a sample of 354 accountants from China indicated that the relationship between ethical pressure and ethical judgments of earnings management is contingent on the accountants’ power distance orientation. That is, the relationship between ethical pressure and ethical judgments of earnings management was stronger for accountants with a high power distance orientation. (...) The results also demonstrated that ethical beliefs in support of the company serve as a mediator for the interaction effect of ethical pressure and power distance orientation on the outcome. These results are discussed in terms of viewing earnings management as a form of unethical pro-organizational behavior which can be effectively investigated within the framework of the person-situation interactionist model. (shrink)

Receptor tyrosine kinases and integrins are activated by growth factors and extracellular matrix, respectively. Their activation leads to signal transduction cascades that control many aspects of cell phenotype, including progression through the G1 phase of the cell cycle. However, the signalling cassettes driven by growth factors and matrix do not work independently of each other. Integrin triggering is essential to facilitate kinase‐ and GTPase‐mediated signals and thereby drive efficient transfer of information through the growth factor–cyclin axis. A recent study indicates (...) that an additional type of player has a key role in adhesion‐regulated control of cell cycle, namely ubiquitin ligase.(1) BioEssays 24:17–21, 2002. © 2002 John Wiley & Sons, Inc. (shrink)

In this paper, we examine the information content of insider transactions in China and analyze how ownership structures shape market reaction to these transactions. We find that the cumulative abnormal return to insider purchases is a convex function of the percentage of shares owned by the largest shareholder. Further, the CAR to insider purchases is lower when the largest shareholder is government-related, or when the control rights of the largest shareholder exceed its cash flow rights. We also find that the (...) market reaction to insider purchases is more positive for firms audited by Big4 auditors. However, we do not find a significant relationship between an ownership structure and the market reaction to insider sales. Our results are remarkably robust to alternative model specifications, corporate insider identities, and recent corporate news releases on price-sensitive events. Finally, we show that market reaction to insider purchases is larger for firms with less severe expropriations, as captured by the use of other receivables. (shrink)

In this study, we examine cases of food insecurity and food justice issues in Vermont’s environmentally vulnerable communities. Using a structured door-to-door survey (n = 569), semi-structured interviews (n = 32), and focus groups (n = 5), we demonstrate that: (1) food insecurity in Vermont’s environmentally vulnerable communities is prominent and intersects with socioeconomic factors such as race and income, (2) food and social assistance programs need to be more accessible and address vicious cycles of multiple injustices, (3) an intersectional (...) approach beyond distribution is required to address food justice issues in environmentally vulnerable communities, and (4) paying attention to broader contextual and environmental factors may provide a more nuanced approach to understanding food justice. (shrink)

This paper examines the impact of Chinese business managers’ moral philosophies on the perception of corrupt payments such as bribery, kickbacks and gift giving. Business managers from Mainland China were selected as target respondents. As hypothesized the survey results generally indicate that moral relativism is a significant predictor of Chinese business managers’ favorable perception of bribery and kickbacks. In examining the attitude toward gift giving, the survey showed that an individual’s attitude toward gift giving was neither affected by their moral (...) relativism nor by their moral idealism, which implies that gift giving is widely accepted as legal practice in business in Chinese cultural society. (shrink)

Publications by Chinese researchers in scientific journals have dramatically increased over the past decade; however, academic misconduct also becomes more prevalent in the country. The aim of this prospective study was to understand the perceptions of Chinese biomedical researchers towards academic misconduct and the trend from 2010 to 2015. A questionnaire comprising 10 questions was designed and then validated by ten biomedical researchers in China. In the years 2010 and 2015, respectively, the questionnaire was sent as a survey to biomedical (...) researchers at teaching hospitals, universities, and medical institutes in mainland China. Data were analyzed by the Chi squared test, one-way analysis of variance with the Tukey post hoc test, or Spearman’s rank correlation method, where appropriate. The overall response rates in 2010 and 2015 were 4.5% and 5.5%, respectively. Data from 15 participants in 2010 were invalid, and analysis was thus performed for 1263 participants. Among the participants, 54.7% thought that academic misconduct was serious-to-extremely serious, and 71.2% believed that the Chinese authorities paid no or little attention to the academic misconduct. Moreover, 70.2 and 65.2% of participants considered that the punishment for academic misconduct at the authority and institution levels, respectively, was not appropriate or severe enough. Inappropriate authorship and plagiarism were the most common forms of academic misconduct. The most important factor underlying academic misconduct was the academic assessment system, as judged by 50.7% of the participants. Participants estimated that 40.1% of published scientific articles were associated with some form of academic misconduct. Their perceptions towards academic misconduct had not significantly changed over the 5 years. Reform of the academic assessment system should be the fundamental approach to tackling this problem in China. (shrink)

This study decodes consumers' preference levels using a convolutional neural network in neuromarketing. The classification accuracy in neuromarketing is a critical factor in evaluating the intentions of the consumers. Functional near-infrared spectroscopy is utilized as a neuroimaging modality to measure the cerebral hemodynamic responses. In this study, a specific decoding structure, called CNN-based fNIRS-data analysis, was designed to achieve a high classification accuracy. Compared to other methods, the automated characteristics, constant training of the dataset, and learning efficiency of the proposed (...) method are the main advantages. The experimental procedure required eight healthy participants to view commercial advertisement videos of different durations. The cerebral hemodynamic responses of the participants were measured. To compare the preference classification performances, CNN was utilized to extract the most common features, including the mean, peak, variance, kurtosis, and skewness. Considering three video durations, the average classification accuracies of 15, 30, and 60 s videos were 84.3, 87.9, and 86.4%, respectively. Among them, the classification accuracy of 87.9% for 30 s videos was the highest. The average classification accuracies of three preferences in females and males were 86.2 and 86.3%, respectively, showing no difference in each group. By comparing the classification performances in three different combinations between two groups, male participants were observed to have targeted preferences for commercial advertising, and the classification performance 88.4% between “like” vs. “dislike” out of three categories was the highest. Finally, pairwise classification performance are shown as follows: For female, 86.1%, 87.4%, 85.2%, and for male 85.7, 88.4, 85.1%, respectively. (shrink)

The teaching management department carries all the work related to teaching in the whole school. A scientific, efficient, and complete teaching management system cannot only help the teaching management department improve work efficiency and quality but also greatly reduce many problems caused by manual labour risk. This paper designs and implements a teaching management system based on an improved association rule algorithm. First, aiming at the low efficiency of the Apriori algorithm for mining association rules, an association rule model based (...) on interest is proposed. Second, use the MapReduce calculation model to partition the transaction database, then use the improved Apriori optimization algorithm for mining, and finally merge the mining results to obtain frequent itemsets. Through experiments, the optimized algorithm has greatly improved selection mining and computing time than traditional algorithms. (shrink)

Ataxia is a kind of external characteristics when the human body has poor coordination and balance disorder, it often indicates diseases in certain parts of the body. Many internal factors may causing ataxia; currently, observed external characteristics, combined with Doctor’s personal clinical experience play main roles in diagnosing ataxia. In this situation, different kinds of diseases may be confused, leading to the delay in treatment and recovery. Modern high precision medical instruments would provide better accuracy but the economic cost is (...) a non-negligible factor. In this paper, novel non-contact sensing technique is used to detect and distinguish sensory ataxia and cerebellar ataxia. Firstly, Romberg’s test and gait analysis data are collected by the microwave sensing platform; then, after some preprocessing, some machine learning approaches have been applied to train the models. For Romberg’s test, time domain features are considered, the accuracy of all the three algorithms are higher than 96%; for gait detection, Principal Component Analysis is used for dimensionality reduction, and the accuracies of Back Propagation neural Network, Support Vector Machine, and Random Forest are 97.8, 98.9, and 91.1%, respectively. (shrink)

本书主要内容包括:本书是当代中国"大陆新儒家"五位代表性人物的思想文化论集,集中展现了当代儒家对中国问题的基本看法及主张,也可以说是儒家自"文革"以后,第一次集体发声,吹响了复兴儒学,回归道统,儒化中 国的集结号.本书既有作者对当代中国面临的种种问题之立论直言,也有对时下各种思想流派对儒家批评质疑的回击辩证.

This study adopted a positive psychology perspective to investigate positive emotion and foreign language enjoyment among Chinese as a second language learners in an emergency remote teaching context amid the COVID-19 pandemic. A set of 90 preparatory Chinese language students was assessed for their level of foreign language enjoyment using the Foreign Language Enjoyment Scale. Participles' scores on self-perceived language achievement and actual test scores were adopted as the measurement of their Chinese language proficiency. The results revealed that: CSL learners (...) experienced high level of FL enjoyment in an online learning context, no significant correlation was found between FLE and leaners' actual language achievement nor between FLE and their self-perceived achievement, female learners showed higher FLE than male learners and gender was found to have a significant effect on FLE-Private, participants' geological location, i.e., whether in China or at home countries, significantly influenced their FLE, participants' regional group was not a significant predictor of FLE, and teacher-related variables and learner self-perceptions of achievement were strong predictors of FLE among CSL learners. The findings highlight the importance of teacher's role in an online learning environment and suggest that FLE may not boost performance in the short term for language beginners but is still conducive in the long run. Implications for both teachers and learners, and suggestions for future researches are provided. (shrink)

Individuals’ unverified information sharing on social media, namely, sharing information without verification, is a major cause of the widespread misinformation amid the COVID-19 pandemic. The association between perceived information overload and unverified information sharing has been well documented in the cognitive overload approach. However, little is known about the underlying mechanism of this process. This study aims to explore the mediating role of anxiety and the moderating role of perceived herd between perceived information overload and unverified information sharing on WeChat. (...) Anxiety demonstrates people’s emotional response to the pandemic, whereas perceived herd describes a willingness to share certain information if it has been shared by many. The results of an online survey in China showed that perceived information overload was positively associated with unverified information sharing. In addition, this relationship was partially mediated by anxiety. Moreover, perceived herd positively moderated the link between anxiety and unverified information sharing, such that the indirect effect of perceived information overload on unverified information sharing via anxiety was significant in conditions where the level of perceived herd was high, whereas the indirect effect was not significant in conditions where the level of perceived herd was low. The moderated mediation model extends the cognitive overload approach and indicates that unverified information sharing is not only an individual strategy to cope with information overload but also a herding behavior to manage anxiety. Practical implications for curbing people’s tendencies toward unverified information sharing on social media are discussed. (shrink)

本书内容包括:心学散论-儒家的生命信仰;儒学的真精神与真价值;心性儒学与未来世纪;我所理解的儒学;儒学之用的标准何在;超载现代性与自由主义等.

Empathy is sharing and understanding others’ emotions. Recently, researchers identified a culture–sex interaction effect in empathy. This phenomenon has been largely ignored by previous researchers. In this study, the culture–sex interaction effect was explored with a cohort of 129 participants (61 Australian Caucasians and 68 Chinese Hans) using both self-report questionnaires (i.e., Empathy Quotient and Interpersonal Reactivity Index) and computer-based empathy tasks. In line with the previous findings, the culture–sex interaction effect was observed for both trait empathy (i.e., the generalized (...) characteristics of empathy, as examined by the self-report questionnaires) and state empathy (i.e., the on-spot reaction of empathy for a specific stimulus, as evaluated by the computer-based tasks). Moreover, in terms of state empathy, the culture–sex interaction effect further interacted with stimulus traits (i.e., stimulus ethnicity, stimulus sex, or stimulus emotion) and resulted in three- and four-way interactions. Follow-up analyses of these higher-order interactions suggested that the phenomena of ethnic group bias and sex group favor in empathy varied among the four culture–sex participant groups (i.e., Australian female, Australian male, Chinese female, and Chinese male). The current findings highlighted the dynamic nature of empathy (i.e., its sensitivity toward both participant traits and stimulus features). Furthermore, the newly identified interaction effects in empathy deserve more investigation and need to be verified with other Western and Asian populations. (shrink)

The live streaming e-commerce market continues to grow with the rapid increase in contactless communication due to COVID-19. Live streaming e-commerce goes beyond the confines of traditional e-commerce of simply selling goods or services. It supplies information and allows synchronous information exchange between the online viewer and the Internet celebrity, who influences the consumers information behavior and ultimately contributes to the long-term profit generation of the company. From online commerce to new retail and live streaming, China has been at the (...) forefront of innovation in online commerce worldwide. Therefore, this study focuses on investigating the influences of live streaming e-commerce quality, such as service quality, information quality, and system quality, on consumer purchase intention in China by applying the extended model of technology acceptance. Furthermore, this study analyzes the paths through which the live streaming e-commerce quality affects the consumer purchase intention, based on paths of perceived usefulness, perceived ease of use, perceived trust, and perceived value. To analyze this study, the data were collected from 231 customers who had used live streaming e-commerce apps in China and empirical analysis was applied. The results were summarized as follows: SQ is positively related to PU and PT. Similarly, IQ is positively related to PEU and PT. In addition, SEQ is also positively related to PU and PEU. Moreover, SQ affected the PV through PU and PT significantly and ultimately influenced consumer PI. Also, the path in which SEQ affects PU, which in turn affects PV, and ultimately PI, was found. This study found out the paths of how the live streaming E-commerce quality affects the consumer purchasing intention and contributes to the research field of e-commerce and consumer behaviors. Additionally, the results of this study give useful marketing suggestions for relevant financial institutions and enterprises. (shrink)

Aiming at suppressing harmful effect for building structure by surface motion, semiactive nonsmooth control algorithm with Deep Learning is proposed. By finite-time stable theory, the building structure closed-loop system’s stability is discussed under the proposed control algorithm. It is found that the building structure closed-loop system is stable. Then the proposed control algorithm is applied on controlling the building structural vibration. The seismic action is chosen as El Centro seismic wave. Dynamic characteristics have comparative analysis between semiactive nonsmooth control and (...) passive control in two simulation examples. They demonstrate that the designed control algorithm has great robustness and anti-interference. The proposed control algorithm is more effective than passive control in suppressing structural vibration. (shrink)