Zhu Xi was familiar with Buddhism in youth. After devoting himself to Confucianism at age 30, he became critical of Buddhism. The author shows that Zhu Xi made two basic criticisms of Chinese Buddhism: He criticized, first, that many of the Chinese Buddhist sutras were forged texts, not based on Sanskrit originals, and that the basic Chinese Buddhist concepts were incoherent. However, Zhu Xi hadn’t fully mastered Buddhist history or thought.

Chinese mind-body exercises are positively associated with executive function, but their effects on EF, from synthesized evidence using systematic and meta-analytic reviews, have not been conducted. Therefore, the present systematic review with meta-analysis attempted to determine whether CMBEs affect EF and its sub-domains, as well as how exercise, sample, and study characteristics moderate the causal relationship between CMBEs and EF in middle-aged and older adults. Seven electronic databases were searched for relevant studies published from the inception of each database through (...) June 2020. Randomized controlled trials with at least one outcome measure of CMBEs on EF in adults of mean age ≥ 50 years with intact cognition or mild cognitive impairment and with or without chronic diseases were included. A total of 29 studies ultimately were included in this study. The results indicated that CMBEs improved overall EF, as well as its sub-domains of working memory and shifting. The beneficial effects of CMBEs on EF occurred regardless of type, frequency of group classes, session time, total training time, and length of the CMBEs, in addition to that more frequent participation in both group classes and home practice sessions resulted in more beneficial effects. The positive effects of CMBEs on EF were also demonstrated, regardless of participants mean age, sex, and cognitive statuses, health status, as well as training mode and study language. This review thus suggests that CMBEs can be used as an effective method with small to moderate and positive effects in enhancing EF, and that more frequent group classes and home practice sessions may increase these effects. However, certain limitations, including strictly design studies, limited ES samples for specific variables, and possible biased publications, required paying particular attention to, for further exploring the effects of CMBEs on EF. (shrink)

This study aims to reveal patterns of e-petition co-signing behavior that are indicative of the political mobilization of online “communities”. We discuss the case of We the People, a US national experiment in the use of social media technology to enable users to propose and solicit support for policy suggestions to the White House. We apply Baumgartner and Jones's work on agenda setting and punctuated equilibrium, which suggests that policy issues may lie dormant for periods of time until some event (...) triggers attention from the media, interest groups, and elected representatives. In the case study presented, we focus on 21 petitions initiated during the week after the Sandy Hook shooting in opposition to gun control or in support of policy proposals that are alternatives to gun control, which we view as mobilized efforts to maintain stability and equilibrium in a policy system threatening to change. Using market basket analysis and social network analysis we found a core group of petitions in the “support law-abiding gun owners” theme that were highly connected and four “communities” of e-petitioners mobilizing in opposition to change in gun control policies and in favor of alternative proposals. (shrink)

This paper examines how drawing classes can contribute to moral education in primary schools. This paper uses class observation, interviews with teachers and students, and analysis of students’ wor...

A group of economists has recently begun addressing questions at the intersection of ethics and economics. They are preparing new definitions of individual choice that combine self-interest and other-interest, new processes of interpersonal exchange that result in cooperation rather than conflict, and new measures of social well-being that include rights as well as outcomes. This article surveys that work, and suggests areas where conceptual inputs from business ethicists are clearly needed, and where multiple opportunities for interactive research are obviously present.

Deep brain stimulation is a clinical intervention for the treatment of movement disorders. It has also been applied to the treatment of psychiatric disorders such as depression, anorexia nervosa, obsessive-compulsive disorder, and schizophrenia. Psychiatric disorders including schizophrenia, bipolar disorder, and major depression can lead to psychosis, which can cause patients to lose touch with reality. The ventral tegmental area, located near the midline of the midbrain, is an important region involved in psychosis. However, the clinical application of electrical stimulation of (...) the VTA to treat psychotic diseases has been limited, and related mechanisms have not been thoroughly studied. In the present study, hyperlocomotion and stereotyped behaviors of the mice were employed to mimic and evaluate the positive-psychotic-like behaviors. We attempted to treat positive psychotic-like behaviors by electrically stimulating the VTA in mice and exploring the neural mechanisms behind behavioral effects. Local field potential recording and in vivo fiber photometry to observe the behavioral effects and changes in neural activities caused by DBS in the VTA of mice. Optogenetic techniques were used to verify the neural mechanisms underlying the behavioral effects induced by DBS. Our results showed that electrical stimulation of the VTA activates local gamma-aminobutyric acid neurons, and dopamine neurons, reduces hyperlocomotion, and relieves stereotyped behaviors induced by MK-801 injection. The results of optogenetic manipulation showed that the activation of the VTA GABA neurons, but not DA neurons, is involved in the alleviation of hyperlocomotion and stereotyped behaviors. We visualized changes in the activity of specific types in specific brain areas induced by DBS, and explored the neural mechanism of DBS in alleviating positive psychotic-like behaviors. This preclinical study not only proposes new technical means of exploring the mechanism of DBS, but also provides experimental justification for the clinical treatment of psychotic diseases by electrical stimulation of the VTA. (shrink)

Zhu Xi was familiar with Buddhism in youth. After devoting himself to Confucianism at age 30, he became critical of Buddhism. The author shows that Zhu Xi made two basic criticisms of Chinese Buddh...

全国教育科学“八五”规划国家教委级重点课题研究成果得到全国教育科学规划领导小组、山西省教育委员会、山西师范大学、语文报社的资助.

本书包括七章:人文精神与价值冲突,全球化与价值冲突,文化与价值冲突,中国入世与价值冲突,社会转型与价值冲突,价值观教育与价值冲突,道德和法律建设与价值冲突。.

ObjectivesAcupuncture therapy has been used for cognitive impairment-related diseases, however, there are still few studies on the overall trend of acupuncture therapy on cognitive impairment based on bibliometric analysis. The purpose of this study was to explore the research trend of the impact of acupuncture on cognitive impairment in the past 15 years, analyze the research trends and hotspots, and provide new ideas and theoretical basis for future research directions.MethodsFrom the Web of Science Core Collection, the relevant literature on the (...) treatment of cognitive impairment with acupuncture from 2007 to 2022 was retrieved. Then, based on the CiteSpace and VOSviewer software of the Java platform, the cooperation between countries and institutions in this field, the co-citation of journals and documents, and the cooperation between authors and authors, etc. were analyzed. In addition, the co-occurrence and burst analysis of keywords are also carried out, and a visual knowledge map is drawn.ResultsAs of August 08, 2022, a total of 394 records related to the treatment of cognitive impairment with acupuncture were identified. The analysis results show: The number and rate of annual publications have steadily increased, with some fluctuations from year to year. The countries that contribute the most to this field are China and the USA. Among them, Beijing University of Chinese Medicine and Capital Medical University are tied for first place in terms of the number of published papers. Tao Jing is the most prolific author and the number one cited author.ConclusionsThe number of publications on acupuncture for cognitive impairment is expected to increase rapidly in future research, suggesting a bright future for the field. Future research hotspots will focus on pain, injury, protocol, diagnosis, guidelines, etc. It is also necessary to strengthen cross-regional and cross-country cooperation among various academic groups. (shrink)

Several previous studies have reported atypicality in resting-state functional connectivity in autism spectrum disorder, yet the relatively small effect sizes prevent us from using these characteristics for diagnostic purposes. Here, canonical correlation analysis and hierarchical clustering were used to partition the high-functioning ASD group into subgroups. A support vector machine model was trained through the 10-fold strategy to predict Autism Diagnostic Observation Schedule scores within the ASD discovery group, which was further validated in an independent sample. The neuroimage-based partition derived (...) two subgroups representing severe versus mild autistic patients. We identified FCs that show graded changes in strength from ASD-severe, through ASD-mild, to controls, while the same pattern cannot be observed in partitions based on ADOS score. We also identified FCs that are specific for ASD-mild, similar to a partition based on ADOS score. The current study provided multiple pieces of evidence with replication to show that resting-state functional magnetic resonance imaging FCs could serve as neural biomarkers in partitioning high-functioning autistic individuals based on their symptom severity and showing advantages over traditional partition based on ADOS score. Our results also indicate a compensatory role for a frontocortical network in patients with mild ASD, indicating potential targets for future clinical treatments. (shrink)

With the advent of the era of artificial intelligence, deep reinforcement learning has achieved unprecedented success in high-dimensional and large-scale artificial intelligence tasks. However, the insecurity and instability of the DRL algorithm have an important impact on its performance. The Soft Actor-Critic algorithm uses advanced functions to update the policy and value network to alleviate some of these problems. However, SAC still has some problems. In order to reduce the error caused by the overestimation of SAC, we propose a new (...) SAC algorithm called Averaged-SAC. By averaging the previously learned action-state estimates, it reduces the overestimation problem of soft Q-learning, thereby contributing to a more stable training process and improving performance. We evaluate the performance of Averaged-SAC through some games in the MuJoCo environment. The experimental results show that the Averaged-SAC algorithm effectively improves the performance of the SAC algorithm and the stability of the training process. (shrink)

ABSTRACT Although unethical pro-organizational behavior (UPB) in the workplace has been widely researched, studies have focused on its antecedents rather than its outcomes. To fill this gap in the literature, we integrated moral licensing theory and the literature on leader gratitude expression to explore the ethical consequences of UPB. Using a sample of multi-source time-lagged surveys of 206 leader–employee dyads, we found that the pro-organizational nature of UPB fostered employees’ psychological entitlement and thereby increased their likelihood of engaging in subsequent (...) unethical behavior. Leaders’ expressions of gratitude for employee UPB strengthened the relationship between UPB and psychological entitlement, ultimately reinforcing employees’ unethical behavior. The theoretical and practical implications of the findings are discussed. (shrink)

Remanufacturing widely exists in production activities. Two different game models are involved while considering reverse channels: In Model P, the manufacturer provides new and remanufactured products to two retailers. New products are sold through an online platform, while remanufactured products are sold in offline physical stores in a decentralized scenario. In Model C, the manufacturer provides new and remanufactured units to only one retailer that operates both online and offline channels in a centralized scenario. This research showed that a manufacturer’s (...) profitability and industry profits in Model P were higher than those in Model C from the perspective of economic performance; the sum of the profits of both retailers in Model P was worse than the profits of the retailer in Model C. Moreover, Model P was found to be greener than Model C from the perspective of environmental sustainability. From a social viewpoint, Model P had a higher consumer surplus than Model C; the higher the cost of distributing a remanufactured unit, the more disadvantageous the model to the consumers. (shrink)

This study explored and compared the perspectives of Taiwanese in-service and pre-service high school mathematics teachers regarding ideal teaching behaviours; the perspectives of a nationwide sample of students were taken as the baseline. Fourteen factors contributing to ideal teaching behaviours were identified through exploratory factor analyses. Nine factors, including idea explanation and speedy lecture, were rooted in traditional Chinese culture; five factors, including concrete representation and student activities, were influenced by Western cultures. Three teacher profiles were identified through k-means clustering (...) analysis. The perspectives of in-service teachers were dominated by a painless meaning-emphasised profile; these teachers emphasised meaningful learning for students and avoided the fast pace and demanding requirements that can cause distress in students, whereas pre-service teachers were dominated by an all-round profile, revealing their openness to all factors. Compared with... (shrink)

Nowadays, depression is the world’s major health concern and economic burden worldwide. However, due to the limitations of current methods for depression diagnosis, a pervasive and objective approach is essential. In the present study, a psychophysiological database, containing 213 subjects, was constructed. The electroencephalogram signals of all participants under resting state and sound stimulation were collected using a pervasive prefrontal-lobe three-electrode EEG system at Fp1, Fp2, and Fpz electrode sites. After denoising using the Finite Impulse Response filter combining the Kalman (...) derivation formula, Discrete Wavelet Transformation, and an Adaptive Predictor Filter, a total of 270 linear and nonlinear features were extracted. Then, the minimal-redundancy-maximal-relevance feature selection technique reduced the dimensionality of the feature space. Four classification methods distinguished the depressed participants from normal controls. The classifiers’ performances were evaluated using 10-fold cross-validation. The results showed thatK-Nearest Neighbor had the highest accuracy of 79.27%. The result also suggested that the absolute power of the theta wave might be a valid characteristic for discriminating depression. This study proves the feasibility of a pervasive three-electrode EEG acquisition system for depression diagnosis. (shrink)

Green housing is a new type of building that advocates energy saving and environmental protection. How to stimulate buyers to buy green housing under the background of high cost is the key problem to guide green consumption. First of all, based on the existing literature, the comment of homebuyers was divided into comment quantity, comment quality, comment titer and evaluator credibility. The psychological distance mediation variable was introduced, and three dimensions of time distance, social distance, and space distance were selected (...) to construct the influence model of homebuyer comment on green housing purchase intention. Meanwhile, the concept model was built, and questionnaires were adopted for empirical analysis. On this basis, considering the long-term purchase behavior of buyers, the influence model of homebuyers' second comment on green housing purchase intention with the Hotelling model was established. The results show that comment quality, comment titer, and the credit rating of the evaluator have a positive effect on green housing purchase intention while comment quantity has no significant effect. Psychological distance plays a mediation role between comment quality, comment titer, the credit rating of the evaluator, and green housing purchase intention while having a mediation effect between comment quantity and green housing purchase intention. In the long-term purchase behavior of green housing, psychological distance plays a greater role than price. At last, some suggestions were proposed. (shrink)

The fiscal imbalance between the central and local governments under fiscal centralization may motivate local governments to pass tax burdens on firms. The causal identification of the tax system reform and the sustainable export innovation behavior of firms are of great significance. This study uses the income tax sharing policy of China to examine the impact of fiscal centralization on the sustainable export innovation behavior of firms. We find that this tax reform has significantly inhibited the increase of the export (...) value-added rate of firms, and has an increasing trend with the share ratio between the Central Government and the local government. Moreover, this effect mainly comes from the crowding-out effect of imported intermediate goods on domestic intermediate goods. The tests show that the above conclusions are consistent with the general logic of local governments. When they face greater downward fiscal pressure, they will further pass the tax burden on local firms and force the firms to promote their export performance to expand the tax base. This short-sighted behavior of replacing “quality improvement” with “quantity increase” is an important factor that affects the sustainable export innovation behavior of firms and the climb in the global value chain. (shrink)

Industry reputation crises trigger producers and consumers to switch to certification as a signal of quality, especially in a weak institutional environment. In this paper, we posit that firm certification as a signaling mechanism involves the co-evolution of firms and consumers. We investigate the impact of industry reputation crises on firm certification as a response strategy. Feedback between producers and consumers causes producers to seek more certifications over time to differentiate themselves from competitors. However, the proliferation of certifications may dilute (...) their credibility and reduce the effectiveness of the signal. Competition from imports that command higher trust from consumers exacerbates the problem in developing countries. We conduct empirical tests using firms in China’s dairy industry after an industry reputation crisis. The findings support our hypotheses. This study provides insights on the certification mechanisms through which producers and consumers interact and the effect of institutional environments on this interaction. It also offers implications for managers on how to better respond to industry crises and for policymakers on how to manage the certification market. (shrink)

Biologists have long known that animal population dynamics are regulated by a combination of bottom-up and top-down forces. Yet, economists have argued that human population dynamics can also be influenced by intraspecific cooperation. Despite awareness of the role of interspecific cooperation in influencing resource availability and animal population dynamics, the role of intraspecific cooperation under different environmental conditions has rarely been considered. Here we examine the role of what we call “lateral forces” that act within populations and interact with external (...) top-down and bottom-up forces in influencing population dynamics using an individual-based model linking environmental quality, intraspecific cooperation, and population size. We find that the proportion of cooperators is higher when the environment is poor and population sizes are greatest under intermediate resources levels due to the contrasting effects of resource availability on behavior and population size. We also show that social populations are more resilient to environmental change than non-social ones because the benefits of intraspecific cooperation can outweigh the effects of constrained resource availability. Our study elucidates the complex relationship between environmental harshness, cooperation, and population dynamics, which is important for understanding the ecological consequences of cooperation. (shrink)

Photovoltaic power forecasting can provide strong support for the safe operation of the power system. Existing forecasting methods are ineffective for grid scheduling decisions or risk analysis. The novel multicluster interval prediction method is proposed to consider the volatility and randomness of PV power output. First, this method utilizes the sparse autoencoder and Bayesian regularized NARX network for point forecasting of PV power. Second, density peak clustering improved by kernel Mahalanobis distance is applied to classify the dataset into multiple clusters, (...) including forecasting error and meteorological factors. Finally, the joint probability density is established by multivariate kernel density estimation to accomplish the PV power interval prediction. The proposed hybrid method is applied for the interval prediction of PV power at Yulara, Australia. Comparative research of point forecasting is implemented to evaluate the machine learning and deep learning methods, with the proposed SAE-BRNARX under four different periods. Results shows that the average values of nRMSE, MRE, nMAE, and R2 for the four periods are 4.45%, 0.90%, −0.15%, 3.39%, and 95.93%, respectively. Moreover, the results of interval prediction obtained by the other interval prediction approaches are compared with the proposed KMDDPC-MKDE. It shows that the average values of PICP, PINAW, ACE, and nMPICD for four periods are 93.93%, 9.50%, 3.93%, and 7.10% at 90% confidence level, respectively. Outcomes demonstrate that the proposed method can obtain more accuracy, a higher coverage rate, narrower average bandwidth, and a closer distance between the middle of interval and actual value than other methods. (shrink)

Previous research demonstrates the critical role moral disengagement plays in unethical decision-making. This study investigates the relationships among moral endorsement, shareholder-value orientation, moral disengagement, and moral judgment on issues of different moral intensities. The results of a scenario-based survey conducted in China confirm the negative (positive) impact of moral disengagement (moral intensity) on moral judgment. The findings reveal that both moral endorsement and shareholder-value orientation of decision-makers significantly influence moral judgment and that moral intensity moderates the relationships between moral endorsement (...) and moral judgment, and between shareholder-value orientation and moral disengagement. The study’s theoretical contributions, managerial implications, and limitations are discussed. (shrink)

The guide dog robot (GDR) is a low-speed companion robot that serves visually impaired people and is used to guide blind people to walk steadily, carrying a variety of intelligent technologies and needing to have the ability to guide with optimal energy consumption in specific scenarios. This paper proposes an innovative technique for virtual-real collaborative path planning and navigation of the GDR specific indoor scenarios, and designs an experimental method for virtual-real collaborative path planning of the GDR specific scenarios. The (...) energy consumption integral equation is used to solve for the energy consumption of the GDR with virtual-real synergy, and the difference in energy consumption is compared for three different navigation directions: horizontal, vertical and oblique obstacle avoidance. The results show that the optimized GDR saves 6.91% in rectilinear movement and 10.60% in curved movement. The efficiency of planning and navigating the GDR in specific domestic scenarios is verified by a virtual-real cooperative. The realization of optimal path planning for energy consumption is instrumental in exploring many of the most significant thought in the path planning and navigation of mobile robots in indoor specific scenarios. (shrink)

This book is an abridged version of Feng Qi’s two major works on the history of philosophy, The Logical Development of Ancient Chinese Philosophy and The Revolutionary Course of Modern Chinese Philosophy. It is a comprehensive history of Chinese philosophy taking the reader from ancient times to the year 1949. It illuminates the characteristics of traditional Chinese philosophy from the broader vantage point of epistemology. The book revolves around important debates including those on “Heaven and humankind” (tian ren天人), “names (...) and actualities” (mingshi名實), “principle and vital force” (liqi理氣), “the Way and visible things” (daoqi道器), “mind and matter/things” (xinwu心物), and “knowledge and action” (zhixing知行). Through discussion of these debates, the course of Chinese philosophy unfolds. Modern Chinese philosophy has made landmark achievements in the development of historical and epistemological theory, namely the “dynamic and revolutionary theory of reflection”. However, modern Chinese philosophy is yet to construct a systematic overview of logic and methodology, as well as questions of human freedom and ideals. Amid this discussion, the question of how contemporary China is to “take the baton” from the thinkers of the modern philosophical revolution is addressed. (shrink)

The extant literature has largely conceptualized abusive supervision as a hot and impulsive form of aggression. In this paper, we offer a cold and strategic perspective on how abusive supervision might be used strategically to achieve goals. Drawing on the Machiavellian literature and social interaction theory of aggression, we develop a moderated serial mediation model, in which leader Machiavellianism predicts their strategic use of abusive supervision on subordinates via the mediating role of leaders’ guanxi with direct supervisor. We further theorize (...) that this mediation effect is more pronounced when guanxi among team members (team member guanxi, TMG) is stronger, because Mach leaders are more likely to perceive high TMG as a threat to their power. Finally, we propose that Mach leaders’ strategic use of abusive supervision has negative implications for team outcomes, manifested in low levels of team voice and team organizational citizenship behaviors toward fellow team members (OCBI). Analyses of two studies—Study 1 using multi-wave data (355 leaders) from a US sample and Study 2 using a multi-wave, multi-source, and multilevel data (1252 subordinates and 273 leaders) from a Chinese sample—corroborated our model. This study provides a comprehensive examination of who, how, and when strategic abuse unfolds in the workplace and its negative implication for team outcomes. (shrink)

Supply chain management is critical for addressing uncertainties caused by random demand and production yield. In this study, a random yield supply chain, in which the production process of fresh agricultural products is easily affected by factors, such as weather, soil, or plant diseases and insect pests, was considered. Therefore, the actual output is typically less than the planned output. A model in which the producer faces yield uncertainty was considered, and the influence of the producer’s fairness concerns on the (...) planned output of the contract-farming supply chain was considered. Methods to motivate the producer to increase planned output through reasonable contracts were investigated. The results revealed that the producer’s fairness concern considerably influences the optimal expected profit. In the case of the random output, the planned output and maximum expected profits reduce when the farmer exhibits fairness concerns. As the degree of the producer’s fairness concern increases, the planned output and expected profit gradually decrease The cost-sharing contract can effectively encourage the producer to increase his planned output and expected utility. Finally, the results were verified numerically. (shrink)

With renewable energy being increasingly connected to power grids, pumped storage plants play a very important role in restraining the fluctuation of power grids. However, conventional control strategy could not adapt well to the different control tasks. This paper proposes an intelligent nonlinear model predictive control strategy, in which hydraulic-mechanical and electrical subsystems are combined in a synchronous control framework. A newly proposed online sequential extreme learning machine algorithm with forgetting factor is introduced to learn the dynamic behaviors of the (...) coupling system. Specifically, the initial learning parameters are optimized by prior-knowledge learning and a new self-adaptive adjustment strategy is also put forward. Subsequently, the stair-like control strategy and artificial sheep algorithm are used in rolling the optimization mechanism to replace the existing complex differential geometric solutions. Comparative experiments are carried out under different working conditions based on a PSP in China. The results show that the influence from coupling factors can be considerable and the proposed MPC strategy indicates superiority in voltage and load adjustment as well as the frequency oscillation suppression. (shrink)

Herring and mackerel are two of the most important pillars of Scottish fisheries. In recent years, global warming has caused a gradual rise in ocean temperatures. In order to survive and reproduce, herring and mackerel populations will migrate. This will have a huge impact on Scotland’s fisheries. Therefore, we need to predict the relocation of fish stocks in advance, make timely adjustments to the fishing range, and minimize the loss of the fishing industry. In this article, we subdivide the research (...) target sea area into 39 regions, establish the optimal SARIMA model for each region based on the collected seawater temperature time series data, and take region 13 and region 15 as examples to fit the ARIMA and ARIMA models with a period of 12. The results show that the SARIMA model fits well in all regions and predicts the temperature changes in the studied sea area from 2021 to 2050. Finally, according to the predicted sea temperature in different periods, the migration position of the fish school is predicted. (shrink)

全国教育科学“八五”规划国家教委级重点课题研究成果得到全国教育科学规划领导小组、山西省教育委员会、山西师范大学、语文报社的资助.