At the twenty-second World Congress of Philosophy held in Seoul, Korea, from July 29 to August 5, 2008, a panel was convened to debate the ideas for a "democracy with Confucian characteristics'' in Daniel A. Bell's Beyond Liberal Democracy (Princeton: Princeton University Press, 2006). While all participants welcome the attempt to remedy the shortcomings of liberal democracy with Confucian teachings, Fred Dallmayr worries that Bell's political thinking for an East Asian context may "point beyond democracy tout court/' For Sor-hoon Tan, (...) Bell's chapter 6, "Taking Elitism Seriously: Democracy with Confucian Characteristics" may not be so much an alternative to liberalism as it is a challenge to the democratic value of equality that overlooks the dangers of an imperfect meritocracy. Chenyang Li, on the other hand, approaches Bell's proposal of combining a Confucianism-inspired Upper House of Talent and Virtue selected through competitive examinations with a lower house of democratically elected representatives from the concern that it surrenders the Confucian requirement of virtuous leadership. This feature review also concludes with a spirited reply from Daniel Bell. (shrink)

Media has paid more attention recently on environmental issues caused by construction companies which imposes public opinion pressure on construction companies and could potentially impact their decision-making processes for green innovations. However, research on the relationship between public opinions pressure and construction company green innovation behavior is still limited. To understand how such public opinions pressure can impact construction companies' green transition and formulate advice accordingly, it is necessary to use empirical data to find the correlations. Therefore, this research has (...) gathered questionnaire data of the construction companies in Chengdu-Chongqing economic circle of China to study the influencing mechanism of environmental public opinion pressure on enterprise green innovation behavior, analyzes the realization path of leaders' environmental intention as a mediating variable in the impact of environmental public opinion pressure on enterprise green innovation behavior, and reveals the role boundary of environmental regulation as a moderating variable in the impact of environmental public opinion pressure on enterprise green innovation behavior. The results show that environmental public opinion pressure has a significant positive impact on enterprise green innovation behavior. More specifically, enterprise green innovation behavior is affected by leaders' environmental intention and the latter plays a partial mediating role between environmental public opinion pressure and enterprise green innovation behavior. Environmental regulation also enhances the sensitivity of companies to environmental public opinion pressure, and therefore can significantly strengthen the relationship between environmental public opinion pressure and enterprise green innovation behavior. Further research find that, compared with incentive-based environmental regulations, mandatory environmental regulations make companies more sensitive to environmental public opinion pressure and has a more significant positive moderating effect. The research conclusions could be used to provide theoretical reference with empirical data for accelerating the green innovation transformation and promoting the high-quality development in the construction industry. (shrink)

Online discussion forums are an essential and standard setup in online courses to facilitate interactions among learners. However, learners’ inadequate participation in online discussion forums is a long-standing challenge, which necessitates instructor intervention and the design consideration of online learning platforms. This research proposes and studies the role of mandatory participation, i.e., learners’ participation in online course forums by instructors’ requirements, in fostering their voluntary participation and boosting their learning performance. This novel effect link between mandatory participation and voluntary participation (...) has not been assessed in previous research. An empirical study is conducted using a large-scale dataset of 27,767 learners from a leading massive open online course platform in China. The findings indicate that besides its direct effect on learning performance, learners’ mandatory participation has a significant positive effect on their voluntary participation in online course forums, enhancing learning performance. Moreover, the effect of mandatory participation on voluntary participation varies across learner groups, being more prominent for early registrants than late registrants and part-time learners than full-time learners. This research contributes to the online learning literature by introducing mandatory participation as a viable approach to foster voluntary participation and boost learning performance through enhanced voluntary participation. It provides evidence on the effectiveness of the novel design feature of MOOC platforms that enables and facilitates the mandatory participation mechanism in online learning. (shrink)

本书立足于同情的理解与理性的批导，对唐君毅哲学思想进行了系统的分析，既对唐氏哲学的中心观念“心之本体”作出了通透的阐释，又逐层从道德的哲学、文化哲学和宗教哲学等层面进行了梳理，从而多角度地呈现了唐氏哲 学的特点。.

Business Ethics: A European Review, EarlyView.

The business environment is increasingly uncertain due to the rapid development of disruptive information technologies, the changing global economy, and the COVID-19 pandemic. This brings great uncertainties to investors to predict the performance changes and risks of companies. This research proposes a sequential data-based framework that aggregates data from multiple sources including both structured and unstructured data to predict the performance changes. It leverages data generated from the early risk warning system in China stock market to measure and predict organization (...) performance changes based on the risk warning status changes of public companies. Different from the models in existing literature that focus on the prediction of risk warning of companies, our framework predicts a portfolio of organization performance changes, including business decline and recovery, thus helping investors to not only predict public company risks, but also discover investment opportunities. By incorporating sequential data, our framework achieves 92.3% macro-F1 value on real-world data from listed companies in China, outperforming other static models. (shrink)

In this paper, the single-machine scheduling problem is studied by simultaneously considering due-date assignment and group technology. The objective is to determine the optimal sequence of groups and jobs within groups and optimal due-date assignment to minimize the weighted sum of the absolute value in lateness and due-date assignment cost, where the weights are position dependent. For the common due-date assignment, slack due-date assignment, and different due-date assignment, an O n log n time algorithm is proposed, respectively, to solve the (...) problem, where n is the number of jobs. (shrink)

With the rapid development of Internet of Things technology, RFID technology has been widely used in various fields. In order to optimize the RFID system hardware deployment strategy and improve the deployment efficiency, the prediction of the RFID system identification rate has become a new challenge. In this paper, a neighborhood rough set and random forest combination model is proposed to predict the identification rate of an RFID system. Firstly, the initial influencing factors of the RFID system identification rate are (...) reduced using neighborhood rough set theory combined with the principle of heuristic attribute reduction of neighborhood weighted dependency, thus obtaining a kernel factor subset. Secondly, a random forest prediction model is established based on the kernel factor subset, and a confusion matrix is established using out-of-bag data to evaluate the prediction results. The test is conducted under the constructed RFID experimental environment, whose results showed that the model can predict the identification rate of the RFID system in a fast and efficient way, and the classification accuracy can reach 90.5%. It can effectively guide the hardware deployment and communication parameter protocol setting of the system and improve the system performance. Compared with BP neural network and other prediction models, NRS-RF has shorter prediction time and faster calculation speed. Finally, the validity of the proposed model was verified by the RFID intelligent archives management platform. (shrink)

In this note we shall show that if L is a balanced pseudocomplemented Ockham algebra then the set ${\fancyscript{I}_{k}(L)}$ of kernel ideals of L is a Heyting lattice that is isomorphic to the lattice of congruences on B(L) where ${B(L) = \{x^* | x \in L\}}$ . In particular, we show that ${\fancyscript{I}_{k}(L)}$ is boolean if and only if B(L) is finite, if and only if every kernel ideal of L is principal.

In this note, it is shown that the set of kernel ideals of a K n, 0-algebra L is a complete Heyting algebra, and the largest congruence on L such that the given kernel ideal as its congruence class is derived and finally, the necessary and sufficient conditions that such a congruence is pro-boolean are given.

This paper deals with a single-machine resource allocation scheduling problem with learning effect and group technology. Under slack due-date assignment, our objective is to determine the optimal sequence of jobs and groups, optimal due-date assignment, and optimal resource allocation such that the weighted sum of earliness and tardiness penalties, common flow allowances, and resource consumption cost is minimized. For three special cases, it is proved that the problem can be solved in polynomial time. To solve the general case of problem, (...) the heuristic, tabu search, and branch-and-bound algorithms are proposed. (shrink)

In this note we shall describe the lattice of the congruences on a balanced Ockham algebra with the pseudocomplementation whose quotient algebras are boolean. This is an extension of the result obtained by Rodrigues and Silva who gave a description of the lattice of congruences on an Ockham algebra whose quotient algebras are boolean.

The relationship between neuroticism and mobile phone use is a hot research topic in the academic community. The purpose of this study was to investigate the roles of self-emotional assessment and love status in the mechanism through which college students’ neuroticism influences mobile phone use.We construct a moderated mediation model, and taking 869 Chinese college students as the research object and testing the mediating role of self-emotional assessment and the moderating role of love status. The results show that: neuroticism was (...) significantly positively related to mobile phone use and significantly negatively related to self-emotional assessment; self-emotional assessment was significantly positively related to mobile phone use; self-emotional assessment had a masking effect on the relationship between neuroticism and mobile phone use; love status not only moderated the relationship between self-emotional assessment and mobile phone use but also moderated the process through which self-emotional assessment masked the effect of neuroticism on mobile phone use. Our research expands the literature on the mechanisms underlying the effects of neuroticism on mobile phone use, enriches the understanding of the pertinent boundary conditions, and provides a better explanatory basis for the mobile phone use of college students. (shrink)

A new three-order piecewise function was used to smoothen the model of Support Vector Machine( SVM) and a Third-order Piecewise Smooth SVM( TPSSVM) was proposed. By theory analyzing, approximation accuracy of the smooth function to the plus function is higher than that of the available. When dealing with the multi-class problem, a coding method of multi-class classification based on one-against-rest was proposed. Principal Component Analysis( PCA) was employed to extract the main features of face image set, and multi-class classification of (...) smooth SVM was used for face recognition. The experimental results on ORL and FERET face databases show that the recognition rate of smooth SVM for multi-class classification is better than the traditional identification methods. (shrink)

We investigate the class of those algebras in which is a de Morgan algebra, is a quasi-Stone algebra, and the operations \ and \ are linked by the identity x**º = x*º*. We show that such an algebra is subdirectly irreducible if and only if its congruence lattice is either a 2-element chain or a 3-element chain. In particular, there are precisely eight non-isomorphic subdirectly irreducible Stone de Morgan algebras.

Red tourism, as a form of special interest tourism (SIT), becomes widespread among Chinese tourists. This study aims to explore memorable tourism experiences (MTEs) in red tourism destinations and examines how country competence affects intention to visit similar destinations through the influences on MTEs, destination image, red tourism place attachment, and overall satisfaction. The partial least squares structural equation modeling (PLS-SEM) analysis is utilized to analyze the data from 556 tourists. Empirical results reveal that country competence positively influences MTEs and (...) destination image. Furthermore, both MTEs and destination image influence overall satisfaction and red tourism place attachment, but do not influence intention to visit other similar destinations; the relationships between overall satisfaction, intention to visit other similar destinations, and place attachment are all confirmed as well. This study represents one of the few studies that classify red tourism as a form of historical-based SIT, with the purpose of promoting country competence. The outcomes provide a better understanding of both scholars and practitioners of historical-based SIT planning and businesses on how to promote destination image and country competence. (shrink)

Counterproductive work behavior is one of the most common behavioral decisions of employees in the workplace that negatively impacts the sustainable development of enterprises. Previous studies have shown that individuals make CWB decisions for different reasons. Some individuals engage in CWB due to cognitive factors, whereas others engage in CWB in response to leadership behaviors. The conservation of resources theory holds that individuals have the tendency to preserve, protect and acquire resources. When experiencing the loss of resources, individuals will show (...) irrational and aggressive behaviors in order to regain resources. When obtaining resources, individuals’ tension and pressure will be relieved. To maintain or continue obtaining resources, individuals will show more positive work attitudes and behaviors. Therefore, using the COR theory as the main theoretical framework, this study explores a serial mediation model between family supportive leadership and CWB through work-family conflict and moral disengagement, moderated by personal life attribution. A three-wave survey of 251 medical workers from three hospitals found that family supportive leadership can reduce employees’ perceived work-family conflict, which leads to less moral disengagement, resulting in lower CWB. Personal life attribution strengthens the negative indirect effect of family supportive leadership on CWB by reinforcing the negative association between family supportive leadership and work-family conflict. This study uses the COR theory to explore the mechanism and boundary conditions of family supportive leadership and CWB from the perspective of negative work-family relationship, which enrichis the research content of existing theories. Moreover, this study has important guiding significance for managers to take effective measures to reduce CWB. (shrink)

Facial expressions of emotion play an important role in human social interactions. However, posed expressions of emotion are not always the same as genuine feelings. Recent research has found that facial expressions are increasingly used as a tool for understanding social interactions instead of personal emotions. Therefore, the credibility assessment of facial expressions, namely, the discrimination of genuine (spontaneous) expressions from posed (deliberate/volitional/deceptive) ones, is a crucial yet challenging task in facial expression understanding. With recent advances in computer vision and (...) machine learning techniques, rapid progress has been made in recent years for automatic detection of genuine and posed facial expressions. This paper presents a general review of the relevant research, including several spontaneous vs. posed (SVP) facial expression databases and various computer vision based detection methods. In addition, a variety of factors that will influence the performance of SVP detection methods are discussed along with open issues and technical challenges in this nascent field. (shrink)

This study aimed to develop and test the reliability and validity of a multi-item nurses’ presenteeism behaviour questionnaire. Study 1 administered the Nurse Presenteeism Questionnaire to 250 Chinese nurses. Study 2, surveyed 650 nurses with the NPQ, the Sickness Presenteeism Questionnaire, the Stanford Presenteeism Scale, the General Health Questionnaire, and the Emotional Exhaustion Scale using convenience sampling. After item analysis, the subjects were randomly divided into two groups to verify the questionnaire structure. Study 1 revealed the nurses’ core symptoms when (...) they go to work with illness, and the NPQ with 11 items was developed. Study 2’s item analysis revealed that 11 NPQ items had good discrimination and high homogeneity. Besides, the scale had good reliability and external criterion validity. Thus, the NPQ can be used to measure presenteeism behaviour in nursing. (shrink)

Previous researchers have found that head-down bed rest will affect the emotional state of individuals, and negative emotions such as anxiety are closely related to attention bias. The present study adopted the dot-probe task to evaluate the effects of 15-days of −6° HDBR on the attention bias of threatening stimulus in 17 young men, which was completed before, during, after the bed rest. In addition, self-report inventories were conducted to record emotional changes. The results showed that the participants’ negative affect (...) scores on HDBR-8 were significantly lower than the HDBR-1 in PANAS while there was no significant difference on positive affect scores and anxiety scores in SAI. And the results showed that at the Pre-HDBR, HDBT-1, HDBR-15, Post-HDBR, the response speed to threatening stimulus was faster than neutral stimulus, but no statistical significance. However, reaction time of threatening stimulus is significantly longer than neutral stimulus in the HDBR-8, indicating that HDBR may have an effect on the participants’ attention bias, and this effect is manifested as attention avoidance. (shrink)

The aim of cognitive diagnosis is to classify respondents' mastery status of latent attributes from their responses on multiple items. Since respondents may answer some but not all items, item-level missing data often occur. Even if the primary interest is to provide diagnostic classification of respondents, misspecification of missing data mechanism may lead to biased conclusions. This paper proposes a joint cognitive diagnosis modeling of item responses and item-level missing data mechanism. A Bayesian Markov chain Monte Carlo method is developed (...) for model parameter estimation. Our simulation studies examine the parameter recovery under different missing data mechanisms. The parameters could be recovered well with correct use of missing data mechanism for model fit, and missing that is not at random is less sensitive to incorrect use. The Program for International Student Assessment 2015 computer-based mathematics data are applied to demonstrate the practical value of the proposed method. (shrink)

Although I do not have any final thoughts about the present topic, it might still be valuable to identify what questions are bothering many Chinese scholars. During an academic meeting last month Professor Yu Dunkang summarized the embarrassing situation confronting the study of Chinese philosophy today, as follows: "The object remains unclear, and the value is misplaced." The phrase "the object remains unclear" means that scholars are not sure what questions need to be studied in relation to what is called (...) "Chinese philosophy," while the phrase "the value is misplaced" means that scholars misunderstand the value and the meaning of their own work. To a large extent, this summary is correct; but the question is how this particular situation came into being. (shrink)

We demonstrated unconscious learning of task-irrelevant perceptual regularities in a Serial Reaction Time task in both visual and auditory domains. Participants were required to respond to different letters or syllables which occurred in random order. Unbeknownst to participants, the color of the two letters or the tone of the syllables varied according to certain rules. Reaction times indicated that people indeed learnt both the color and tonal regularities indicating that task-irrelevant sequence structure can be learned perceptually. In a subsequent prediction (...) test of knowledge of the color or tonal cues using subjective measures, we showed that people could acquire task irrelevant knowledge unconsciously. (shrink)

EDITOR’S ABSTRACTThis paper discusses the Laozi from the perspective of the history of thought. Rather than trying to establish one correct edition and interpretation of Lao Zi’s work, Wang Bo traces the evolution from a political interpretation toward a more esoteric and life-cultivating reading. He shows how these different interpretations may have influenced the text itself. Focusing on differences between the recently acquired Peking University Han Bamboo Slips version and the transmitted edition, he analyzed two cases of remarkable variants: (...) the description of the Way as “profuse” versus “hidden,” and “having desire” versus “having the Way.”. (shrink)

The emergence of any idea must have a deep-seated social background, and at the same time there must be an intellectual source that cannot be neglected. That is to say, every idea must have as its foundation some piece of intellectual material that has been handed down by people of the past. Lao Zi once said: "All Things Under Heaven [tianxia wanwu] are born of Existence [you]; Existence [you] is born of Nonexistence [wu]." This does not mean that existence is (...) born out of nothingness or nonexistence [xuwu]. In reality, what Lao Zi meant by "Nonexistence" [wu] is actually itself a kind of existence; but because its state of existence [cunzai zhuangtai] is different from that of Existence [you], it is called "Nonexistence" [wu] instead. This difference of the states of existence lies in [the following]: Existence has form, and therefore can be sensed; Non-existence has no form, and therefore cannot be sensed. In the chapter "Fei ming" of the book Mo Zi there is the passage that says: "Something can be heard, something can be seen; we call it Existence; something cannot be heard, cannot be seen; we call it Destruction [wang] [wu]." Even though the meanings of "Existence" and "Nonexistence" here are different from those in Lao Zi's idea, we may still trust that the general interpretation of "Existence" and "Nonexistence" here would still meet with Lao Zi's approval. In Lao Zi's view, even though Nonexistence cannot be comprehended through sensation, it can be grasped by metaphysical and mystical "vision." Lao Zi's expression that "Existence is born of Nonexistence" was not only an expression of his viewpoint on the question of the origin of "all things under heaven," but also a general rule for us to follow in examining the evolution of human thought. On the one hand, it demonstrates that every single idea must have its source, its intellectual origin; on the other hand, it points out that the idea that serves another as intellectual source may be hidden, not overt, at times. On the surface, some ideas may appear to have no "genealogical origin"—water without a fountainhead or well spring, and yet, perhaps, if we were to conduct further investigation and research, we would discover that they all have some ancient source, some long-forgotten well spring. That is precisely what this essay hopes to accomplish—to attempt to explore in a preliminary way the ancient source of Lao Zi's thought. (shrink)

In Yizhuan’s interpretation of The Book of Changes, the book’s fundamental concepts, xiang 象 and ci 辞, play different roles. Concepts, including yin and yang, firmness and gentleness, sancai 三才, and the wuxing 五行, are used to interpret The Book of Changes through the interpretation of images, while the core Confucian values, such as benevolence and righteousness, are used to interpret The Book of Changes because of their connection with words of gua and yao. In order to expand the meaning (...) of the words of gua and yao, Yizhuan sometimes connects words with images; in other occasions, however, it simply takes these words as independent guides. The Confucian scholars who wrote Yizhuan, therefore, not only revered the classic, but also used it to send their own message. Out of reverence, they “shu 述 ”; in using it, they “zuo 作 ”. The combination of recitation and creation made the words of gua and yao very flexible in the process of interpretation, while the interpretation changed the meaning of the classic to a great extent. (shrink)

Background and ObjectiveThere is a paucity of research that has explored “False Alarm” mechanisms. In order to remedy this deficiency in knowledge, the present study used event-related potential technology to reveal the mechanisms underlying False Alarm in response to fear stimuli.MethodsThis study selected snakes as experimental materials and the “oddball paradigm” was used to simulate the conditions of False Alarm. The mechanism underlying False Alarm was revealed by comparing cognitive processing similarities and differences between real snakes and toy snakes.ResultsEvent-related potential (...) findings demonstrated that there was no significant difference between N1 and P2 components induced by real and toy snakes in the early processing stage. Compared with toy snakes, real snakes induced smaller N2 amplitude, larger P3 amplitude, and a shorter P3 latency at the late processing stage. The results of brain topographic mapping analysis showed that the brain regions activated by a real or toy snake were basically the same within the time windows of 110–150 and 220–270 ms, respectively. In the time window of 300–360 and 400–500 ms, the degree of brain regions activation with a real snake was significantly greater than that induced by a toy snake.ConclusionFalse Alarm is caused by the brain’s inability to distinguish, in the early stage of cognitive processing, stimulus objects with similar appearances. When the brain is able to distinguish the differences between different stimulus objects in the late stage of cognitive processing, False Alarm disappears. (shrink)

Security issue against different attacks is the core topic of cyberphysical systems. In this paper, optimal control theory, reinforcement learning, and neural networks are integrated to provide a brief overview of optimal robust control strategies for a benchmark power system. First, the benchmark power system models with actuator and sensor attacks are considered. Second, we investigate the optimal control issue for the nominal system and review the state-of-the-art RL methods along with the NN implementation. Third, we propose several robust control (...) strategies for different types of cyberphysical attacks via the optimal control design, and stability proofs are derived through Lyapunov theory. Furthermore, the stability analysis with the NN approximation error, which is rarely discussed in the previous works, is studied in this paper. Finally, two different simulation examples demonstrate the effectiveness of our proposed methods. (shrink)

As one of the key technologies for accelerating the construction of the ubiquitous Internet of Things, demand response not only guides users to participate in power market operations but also increases the randomness of grid operations and the difficulty of load forecasting. In order to solve the problem of rough feature engineering processing and low prediction accuracy, a short-term load forecasting model of LSTM neural network considering demand response is proposed. First of all, in view of the strong randomness and (...) complexity of input features, the weighted method is used to process multiple input features to strengthen the contribution of effective features and tap the potential value of features. Secondly, an improved genetic algorithm is used to obtain the best LSTM parameters; finally, the special gate structure of the LSTM model is used to selectively control the influence of input variables on the model parameters and perform load forecasting. The experimental results show that the research has high prediction accuracy and application value and provides a new way for the development of power load forecasting. (shrink)

In this paper, a 4D fractional-order centrifugal flywheel governor system is proposed. Dynamics including the multistability of the system with the variation of system parameters and the derivative order are investigated by Lyapunov exponents, bifurcation diagram, phase portrait, entropy measure, and basins of attraction, numerically. It shows that the minimum order for chaos of the fractional-order centrifugal flywheel governor system is q = 0.97, and the system has rich dynamics and produces multiple coexisting attractors. Moreover, the system is controlled by (...) introducing the adaptive controller which is proved by the Lyapunov stability theory. Numerical analysis results verify the effectiveness of the proposed method. (shrink)