Using a sample of Chinese listed firms for the period of 2004–2010, this study examines the impact of religion on corporate philanthropic giving. Based on hand-collected data of religion and corporate philanthropic giving, we provide strong and robust evidence that religion is significantly positively associated with Chinese listed firms’ philanthropic giving. This finding is consistent with the view that religiosity has remarkable effects on individual thinking and behavior, and can serve as social norms to influence corporate philanthropy. Moreover, religion and (...) corporate philanthropic giving have a significantly weaker (less pronounced) positive association for state-owned enterprises than for non-state-owned enterprises. The results are robust to a variety of sensitivity tests. Our results highlight religious influence on corporate philanthropic giving in contemporary China, an old traditional country with a typical communist economy. (shrink)
Feng Youlan's (1895-1990) "History of Chinese Philosophy" is at present still the most well-known introduction to Chinese philosophy in any Western language. During the 1980s Feng Youlan published a seven-volume new version of his "History" in which he further developed his view on history so that the work itself can be considered part of the history of Chinese philosophy in this century. This paper presents a preliminary analysis and comparison of the different versions of the "History.".
Di 1 juan. San song tang zi xu -- di 2-3 juan. Zhongguo zhe xue shi -- di 4-5 juan. Zhen yuan liu shu -- di 6 juan. Zhongguo zhe xue jian shi [translation of Short history of Chinese philosophy] -- di 7-9 juan. Zhongguo zhe xue shi xin bian -- di 10 juan. Zhe xue lun wen ji.
This book provides a richly documented account of the historical, cultural, philosophical and practical dimensions of feng shui. It argues that where feng shui is entrenched educational systems have a responsibility to examine its claims, and that this examination provides opportunities for students to better learn about the key features of the nature of science, the demarcation of science and non-science, the characteristics of pseudoscience, and the engagement of science with culture and worldviews. The arguments presented for (...) class='Hi'>feng shui being a pseudoscience can be marshalled when considering a whole range of comparable beliefs and the educational benefit of their appraisal. Feng shui is a deeply-entrenched, three-millennia-old system of Asian beliefs and practices about nature, architecture, health, and divination that has garnered a growing presence outside of Asia. It is part of a comprehensive and ancient worldview built around belief in chi the putative universal energy or life-force that animates all existence, the cosmos, the solar system, the earth, and human bodies. Harmonious living requires building in accord with local chi streams; good health requires replenishment and manipulation of internal chi flow; and a beneficent afterlife is enhanced when buried in conformity with chi directions. Traditional Chinese Medicine is based on the proper manipulation of internal chi by acupuncture, tai-chi and qigong exercise, and herbal dietary supplements. Matthews has produced another tour de force that will repay close study by students, scientists, and all those concerned to understand science, culture, and the science/culture nexus. Harvey Siegel, Philosophy, University of Miami, USA With great erudition and even greater fluidity of style, Matthews introduces us to this now-world-wide belief system. Michael Ruse, Philosophy, Florida State University, USA The book is one of the best research works published on Feng Shui. Wang Youjun, Philosophy, Shanghai Normal University, China The history is fascinating. The analysis makes an important contribution to science literature. James Alcock, Psychology, York University, Canada This book provides an in-depth study of Feng Shui in different periods, considering its philosophical, historical and educational dimensions; especially from a perspective of the ‘demarcation problem’ between science and pseudoscience. Yao Dazhi, Chinese Academy of Sciences, China. (shrink)
Building upon Zimmerman’s socio-cognitive view of self-regulation, we explored EFL students’ revision and the likely contribution to revision from three salient self-regulating sources: peer feedback, instructor feedback, and revision goals. Data was obtained from 70 Chinese EFL students in a writing class through a 300-word online writing assignment involving online instructor and peer feedback, free-response revision goals, and a required revision. We closely coded students’ revision and then used the same coding scheme to analyze the relative levels of association of (...) revision changes with peer comments, instructor comments and revision goals. We found that: the majority of revision changes have been triggered by three mediating sources, with revision goals as the most significant contributing source. Additionally, most revision changes come from a combination of two or three sources, with the overlap of peer feedback and revision goals accounting for the biggest overlapping contribution for both high and low-level revisions; as for the relationship among the three sources, no significant difference was found between revision goals’ overlap rate with peer feedback and their overlap rate with instructor feedback. Instructor feedback and peer feedback did not overlap very much. Findings suggest that students could revise beyond instructor and peer feedback in their revision efforts guided by their own reflective goals, and peer feedback could function as a more productive and multiple-reader source of revision in comparison with instructor feedback. This study also provided evidence for students’ self-regulated learning of writing through the use of self-regulating resources and charted a route for how writing could be improved. (shrink)
Artificial intelligence technology has been widely applied in many fields. AI-assisted learning environments have been implemented in classrooms to facilitate the innovation of pedagogical models. However, college students' willingness to accept AI-assisted learning environments has been ignored. Exploring the factors that influence college students' willingness to use AI can promote AI technology application in higher education. Based on the Unified Theory of Acceptance and Use of Technology and the theory of perceived risk, this study identified six factors that influence students' (...) willingness to use AI to analyze their relationships with WTA AI-assisted learning environments. A model including six hypotheses was constructed to test the factors affecting students' WTA. The results indicated that college students showed “weak rejection” of the construction of AI-assisted learning environments. Effort expectancy, performance expectancy, and social influence were all positively related to college students' WTA AI-assisted learning environments. Psychological risk significantly negatively influenced students' WTA. The findings of this study will be helpful for carrying out risk communication, which can promote the construction of AI-assisted learning environments. (shrink)
Medical image segmentation is a key technology for image guidance. Therefore, the advantages and disadvantages of image segmentation play an important role in image-guided surgery. Traditional machine learning methods have achieved certain beneficial effects in medical image segmentation, but they have problems such as low classification accuracy and poor robustness. Deep learning theory has good generalizability and feature extraction ability, which provides a new idea for solving medical image segmentation problems. However, deep learning has problems in terms of its application (...) to medical image segmentation: one is that the deep learning network structure cannot be constructed according to medical image characteristics; the other is that the generalizability y of the deep learning model is weak. To address these issues, this paper first adapts a neural network to medical image features by adding cross-layer connections to a traditional convolutional neural network. In addition, an optimized convolutional neural network model is established. The optimized convolutional neural network model can segment medical images using the features of two scales simultaneously. At the same time, to solve the generalizability problem of the deep learning model, an adaptive distribution function is designed according to the position of the hidden layer, and then the activation probability of each layer of neurons is set. This enhances the generalizability of the dropout model, and an adaptive dropout model is proposed. This model better addresses the problem of the weak generalizability of deep learning models. Based on the above ideas, this paper proposes a medical image segmentation algorithm based on an optimized convolutional neural network with adaptive dropout depth calculation. An ultrasonic tomographic image and lumbar CT medical image were separately segmented by the method of this paper. The experimental results show that not only are the segmentation effects of the proposed method improved compared with those of the traditional machine learning and other deep learning methods but also the method has a high adaptive segmentation ability for various medical images. The research work in this paper provides a new perspective for research on medical image segmentation. (shrink)
Pedestrian re-recognition is an important research because it affects applications such as intelligent monitoring, content-based video retrieval, and human-computer interaction. It can help relay tracking and criminal suspect detection in large-scale video surveillance systems. Although the existing traditional pedestrian re-recognition methods have been widely applied to address practical problems, they have deficiencies such as low recognition accuracy, inefficient computation, and difficulty to adapt to specific applications. In recent years, the pedestrian re-recognition algorithms based on deep learning have been widely used (...) in the pedestrian re-recognition field because of their strong adaptive ability and high recognition accuracy. The deep learning models provide a technical approach for pedestrian re-recognition tasks with their powerful learning ability. However, the pedestrian re-recognition method based on deep learning also has the following problems: First, the existing deep learning pedestrian re-recognition methods lack memory and prediction mechanisms, and the deep learning methods offer only limited improvement to pedestrian re-recognition accuracy. Second, they exhibit overfitting problems. Finally, initializing the existing LSTM parameters is problematic. In view of this, this paper introduces a revertive connection into the pedestrian re-recognition detector, making it more similar to the human cognitive process by converting a single image into an image sequence; then, the memory image sequence pattern reidentifies the pedestrian image. This approach endows deep learning-based pedestrian re-recognition algorithms with the ability to memorize image sequence patterns and allows them to reidentify pedestrians in images. At the same time, this paper proposes a selective dropout method for shallow learning. Selective dropout uses the classifier obtained through shallow learning to modify the probability that a node weight in the hidden layer is set to 0, thereby eliminating the overfitting phenomenon of the deep learning model. Therefore, this paper also proposes a greedy layer-by-layer pretraining algorithm for initializing LSTM and obtains better generalization performance. Based on the above explanation, this paper proposes a pedestrian re-recognition algorithm based on an optimized LSTM deep learning-sequence memory learning model. Experiments show that the pedestrian re-recognition method proposed in this paper not only has strong self-adaptive ability but also identifies the average accuracy. The proposed method also demonstrates a significant improvement compared with other mainstream methods because it can better memorize and learn the continuous motion of pedestrians and effectively avoid overfitting and parameter initialization in the deep learning model. This proposal provides a technical method and approach for adaptive pedestrian re-recognition algorithms. (shrink)
The concept of self-efficacy is concerned with people''s beliefs in their ability to produce given attainment. It has been widely applied to study human conduct in various settings. This study, based on Albert Bandura''s social cognitive theory, proposes the employment of self-efficacy for investigating people''s ethical conduct related to computer use. Specifically, an ethical computer self-efficacy (ECSE) construct concerning software piracy is developed and validated. The measurement model of the construct was rigorously tested and validated through confirmatory factor analysis. The (...) results suggest that ECSE can be operationalized as a second-order factor model. The first order constructs are termed use&keep (do not use), distribution (do not distribute), and persuasion (persuade others not to commit piracy). These factors are governed by a second-order construct of ECSE. This construct could be useful to research a wide range of information ethics in the future. (shrink)
It is not only difficult to be a sports expert but also difficult to grow from a sports expert to a sports elite. Professional athletes are often concerned about the differences between an expert and an elite and how to eventually become an elite athlete. To explore the differences in brain neural mechanism between experts and elites in the process of motor behavior and reveal the internal connection between motor performance and brain activity, we collected and analyzed the electroencephalography findings (...) of 14 national archers and 14 provincial archers during aiming and resting states and constructed the EEG brain network of the two archer groups based on weighted phase lag index; the graph theory was used to analyze and compare the network characteristics via local network and global network topologies. The results showed that compared with the expert archers, the elite archers had stronger functional coupling in beta1 and beta2 bands, and the difference was evident in the frontal and central regions; in terms of global characteristics of brain network topology, the average clustering coefficient and global efficiency of elite archers were significantly higher than that of expert archers, and the eigenvector centrality of expert archers was higher; for local characteristics, elite archers had higher local efficient; and the brain network characteristics of expert archers showed a strong correlation with archery performance. This suggests that compared with expert archers, elite archers showed stronger functional coupling, higher integration efficiency of global and local information, and more independent performance in the archery process. These findings reveal the differences in brain electrical network topologies between elite and expert archers in the archery preparation stage, which is expected to provide theoretical reference for further training and promotion of professional athletes. (shrink)
As the rising costs of lifestyle-related diseases place increasing strain on public healthcare systems, the individual’s role in disease may be proposed as a healthcare rationing criterion. Literature thus far has largely focused on retrospective responsibility in healthcare. The concept of prospective responsibility, in the form of a lifestyle contract, warrants further investigation. The responsibilisation in healthcare debate also needs to take into account innovative developments in mobile health technology, such as wearable biometric devices and mobile apps, which may change (...) how we hold others accountable for their lifestyles. Little is known about public attitudes towards lifestyle contracts and the use of mobile health technology to hold people responsible in the context of healthcare. This paper has two components. Firstly, it details empirical findings from a survey of 81 members of the United Kingdom general public on public attitudes towards individual responsibility and rationing healthcare, prospective and retrospective responsibility, and the acceptability of lifestyle contracts in the context of mobile health technology. Secondly, we draw on the empirical findings and propose a model of prospective intention-based lifestyle contracts, which is both more aligned with public intuitions and less ethically objectionable than more traditional, retrospective models of responsibility in healthcare. (shrink)
In studying the characteristics of cultures, literature and philosophies of different civilisations, scholars inevitably wish to search for similar and different features inherent in particular societies. When this desire is completely justified, then certain questions remain that require additional reflection. For instance, studying the cosmological and natural-philosophical ideas inherent in Ancient China and among Native Americans, scholars face the difficult task of logically substantiating the possibility of studying these two diametrically opposed cultures together. This article is based on a general (...) overview of cosmological and philosophical views in Ancient China and among Native Americans. The authors reveal an important principle that significantly distinguishes “non-Western” cultures and manifests itself in ethnocentrism and harmonization of the relationship between humans and nature. The article gives a logical basis for research and attempts to answer the question of whether Feng shui practice is a science or a religion. To this end, the legacy of Yang Yunsong, one of the founders of the teachings of Feng shui, a Chinese sage of the Tang era from Guangdong province, was studied. The authors suggest that Yang Yunsong’s cosmology, geomancy, and Feng shui practice have much in common with the worldview of indigenous peoples around the world, particularly the Native Americans. (shrink)
Inspired by Shalev’s model of loss aversion, we investigate the effect of loss aversion on a bimatrix game where the payoffs in the bimatrix game are characterized by triangular fuzzy variables. First, we define three solution concepts of credibilistic loss aversion Nash equilibria, and their existence theorems are presented. Then, three sufficient and necessary conditions are given to find the credibilistic loss aversion Nash equilibria. Moreover, the relationship among the three credibilistic loss aversion Nash equilibria is discussed in detail. Finally, (...) for2×2bimatix game with triangular fuzzy payoffs, we investigate the effect of loss aversion coefficients and confidence levels on the three credibilistic loss aversion Nash equilibria. It is found that an increase of loss aversion levels of a player leads to a decrease of his/her own payoff. We also find that the equilibrium utilities of players are decreasing as their own confidence levels when players employ the optimistic value criterion. (shrink)
This study aimed to investigate the effects of customers’ motivations on online purchase intentions as mediated by commitment toward online fashion retailers. The survey method was used to collect data from Chinese respondents using a questionnaire. The convenience sampling technique was used to collect data from 275 respondents. Collected data were analyzed on smart-PLS using the structural equation modeling technique. Results of the study show a significant and positive impact of social empowerment and remuneration motivations on consumer commitment online purchase (...) intention. Further results show that consumer commitment partially mediates the relationship between social empowerment, remuneration, and online purchase intention. This study contributes to the literature in the domain of consumer commitment by focusing on the underlying needs and motivations of consumers. The researchers have demonstrated a strong need to understand the dynamics of commitment due to its importance in affecting purchase intention. This study also has several implications that guide online retailers how to motivate consumers with social, remuneration and empowerment incentives to develop their intention to purchase online. Fashion retailers are suggested to gratify certain consumer motives to increase commitment. Specifically, among the three motives, empowerment motivation emerged as the strongest predictor of consumer commitment in social media environment. This study will help to the online brands to attract more customers by providing the motivation such financial, empowerment and socialization. (shrink)
This article presents an analysis of virtuous journalism as demonstrated in the award-winning movie Spotlight. It analyzes Spotlight using key concepts from virtue ethics theory – arête, p...
The classical Bertrand game is assumed that players are perfectly rational. However, many empirical researches indicate that people have bounded rational behavior with fairness concern, which is important in the two-person game and has attracted much attention. In this paper, fairness concern is incorporated into the Bertrand game with two homogeneous products and the effect of fairness concern on this extended Bertrand game is explored. Nash bargaining solution of player is applied to be his own fairness reference point. Then, a (...) Bertrand game model with fairness concern is established, and its equilibrium price is also derived and analyzed. It is shown from some numerical examples that fairness concern and bargaining power of players have a significant influence on their equilibrium price, expected profits, and utilities. As a player gets more fair-minded, if the other player has a less focus on fairness, the price competition between them will be intensified and both of them suffer loss. Thus, fairness concern may be advantageous or disadvantageous for players. In most situations, the fairness concern behavior is not beneficial for players. Additionally, the effect of bargaining power is relative to fairness concern. A player who manufactures a low-cost product should have a weak bargaining power if he terribly focuses on fairness and should have a strong bargaining power if he pays little attention to fairness. However, a player who manufactures a high-cost product should have a weak bargaining power if he is rarely concerned about fairness. Anyway, the same bargaining power is the best for two players. (shrink)
The concept of ‘harmony’ was taught by the Chinese sages as the practice of acceptance, tolerance, mutual respect, equality and patience, and is now given great importance by the Chinese government in its attempts to promote the stability and sustainability of the country. The concept could have significant implications for moral education. This article uses a Chinese Masters course on sustainability education as an example to analyse the positive and negative implications of the principle of harmony both for the practice (...) of sustainability education and for educational practice in general. The course encouraged students to plan and implement feasible and practical sustainability activities mainly in the context of Chinese schools. Influenced by the value of harmony, the course chose to promote sustainability in a pragmatic but limited way. Although the course resulted in some practical sustainability related activities, a holistic and critical view on sustainability was not evident amongst the students. However, the principle of harmony could be applied critically both as a criterion for evaluating social development and as a value underlying democratic decision-making. (shrink)
This paper investigates both the time-varying formation and multiple time-varying formation tracking problems of networked heterogeneous robotic systems with parameter uncertainties and external disturbances in the task space. Each robot inside can be either redundant or nonredundant. Several novel estimator-based hierarchical cooperative algorithms are designed to achieve both the tracking task and the possible preset subtasks for redundant robots. Besides, the designed estimator algorithms guarantee that each robot can obtain the accurate information of their corresponding leaders. By employing Lyapunov stability (...) and input-to-state stability, sufficient conditions on the asymptotic stability of the error closed-loop system are derived. Finally, two simulation examples are presented to verify the effectiveness of the proposed algorithms. (shrink)
Concerns with improper collection and usage of personal information by businesses or governments have been seen as critical to the success of the emerging electronic commerce. In this regard, computer professionals have the oversight responsibility for information privacy because they have the most extensive knowledge of their organization's systems and programs, as well as an intimate understanding of the data. Thus, the competence of these professionals in ensuring sound practice of information privacy is of great importance to both researchers and (...) practitioners. This research addresses the question of whether male computer professionals differ from their female counterparts in their self-regulatory efficacy to protect personal information privacy. A total of 103 male and 65 female subjects surveyed in Taiwan responded to a 10-item questionnaire that includes three measures: protection (protecting privacy information), non-distribution (not distributing privacy information to others), and non-acquisition (not acquiring privacy information). The findings show (1) significant gender differences exist in the subjects' overall self-regulatory efficacy for information privacy, and, in particular, (2) that female subjects in this study exhibited a higher level of self-regulatory efficacy than males for the protection and non-acquisition of personal privacy information. The identification of the factorial structure of the self-regulatory efficacy concerning information privacy may contribute to future research directed to examining the links between privacy efficacy and psychological variables, such as ethical attitude, ethical intention, and self-esteem. Studies can also be extended to investigate how different cultural practices of morality and computer use in men and women may shape the different development patterns of privacy self-efficacy. Understanding the different cultural practices may then shed light on the social sources of privacy competence and the appropriate remedies that can be provided to improve the situation. (shrink)
Feng Shui has been known in the West for the last 150 years but has mostly been regarded as a primitive superstition. During the modern period successive regimes in China have suppressed its practice. However, in the last few decades Feng Shui has become a global spiritual movement with professional associations, thousands of titles published on the subject, countless websites devoted to it and millions of users. In this book Ole Bruun explains Feng Shui's Chinese origins and (...) meanings as well as its more recent Western interpretations and global appeal. Unlike the abundance of popular manuals, his Introduction treats Chinese Feng Shui as an academic subject, bridging religion, history and sociology. Individual chapters explain the Chinese religious-philosophical background, Chinese uses in rural and urban areas, the history of Feng Shui's reinterpretation in the West, and environmental perspectives and other issues. (shrink)
Management literature has repeatedly shown that an absence of voice can have serious negative influences on team and organization performance. However, employees often withhold suggestions or advices when they have ideas, concerns, or opinions. The present study proposes leader behavioral integrity as a key antecedent of employee voice, and investigates how and when leader behavioral integrity influences employee voice. Specifically, we argue that leader behavioral integrity affects employee voice via team independence climate. In addition, we propose a moderating effect of (...) corporate ethical values. The results from a study of 134 managers and 408 employees provide support for this moderated mediation model. Leader behavioral integrity positively affects employee voice via team independence climate, but only when ethical values are emphasized in organizations. These results suggest that leader behavioral integrity, along with team independence climate and corporate ethical values, is very important for fostering employee voice. (shrink)
Efficient knowledge sharing is an important support for the continuous innovation and sustainable development of scientific research teams. However, in realistic management situations, the knowledge sharing of scientific research teams always appears to be unsustainable, and the reasons for this are the subject of considerable debate. In this study, an attempt was made to explore the interactive mechanism of knowledge hiding behaviors in scientific research teams between individual and collective knowledge hiding behaviors and its impact on knowledge sharing by adopting (...) grounded theory to comprehensively understand this situation. The results show that knowledge hiding behavior in the scientific research team is a two-phase interactive process and is capable of affecting sustainable knowledge sharing by reducing the supply of knowledge, creating a poor knowledge sharing atmosphere, and forming an interpersonal distrust relationship. This research may provide a strong basis for a deeper understanding of the interaction mechanism of knowledge hiding behavior and its impact on knowledge sharing. (shrink)
Music education is one of human kind most universal forms of expression and communication, and it can be found in the daily lives of people of all ages and cultures all over the world. As university life is a time when students are exposed to a great deal of stress, it can have a negative impact on their mental health. Therefore, it is critical to intervene at this stage in their life so that they are prepared to deal with the (...) pressures they will face in the future. The aim of this study was to see how music education affects university students’ mental health, with emotional intelligence functioning as a moderator. The participants in this research were graduate students pursuing degrees in music education. Non probability convenience sampling technique was used to collect and evaluate the data from 265 students studying in different public and private Chinese universities. The data was gathered at a time, and therefore, the study is cross-sectional. The data was collected from January 2022 till the end of March 2022. Many universities have been closed because to COVID-19, therefore data was also gathered online through emails. The data was analyzed quantitatively using the partial least squares –structural equation modeling technique. The findings backed up the hypotheses. The results revealed that there is a significant effect of music education on student’s mental health. Also, emotional intelligence as a moderator significantly and positively moderates the relationship between music education and students’ mental health. Music has numerous physiological aspects, and listening to it on a daily basis may be beneficial to your general health and well-being. Furthermore, musicians and music students with a high level of emotional intelligence have a better chance of not just performing well in school, college and university or in the music industry, but also of maintaining mental health and improving it. (shrink)
The effect of authentic leadership and leader competency on employee job performance has received growing attention in the past decades; however, few studies have simultaneously integrated these two leadership perspectives. We have thus developed a mediated moderation model to test the interactive effect of authentic leadership and competency on followers’ job performance through work engagement. Based on a sample of 248 subordinate–supervisor pairs, hierarchical regression analyses reveal that authentic leadership positively relates to followers’ task performance and organizational citizenship behavior ; (...) leader competency moderates the relationship between authentic leadership and OCB; and followers’ work engagement mediates the main effect of authentic leadership and the interactive effect of authentic leadership and competency on followers’ task performance and OCB. All the three results are consistent with our hypotheses. (shrink)
