Artificial intelligence (AI) technology has brought new opportunities and challenges to the judicial field, which dramatically improves judicial efficiency and may even change the judiciary's way. The concept of judicial justice in the information age has a natural affinity with artificial intelligence. As artificial intelligence continues to make breakthroughs in judicial data sorting and deep learning knowledge, judicial artificial intelligence has gradually become a reality. Artificial intelligence can conduct legal argumentation, interpret calculation results, human–computer collaboration, and judicial judgment. At the (...) same time, the development of artificial intelligence technology also has potential risks, such as algorithm black boxes, algorithm discrimination, etc., to help judges achieve judicial justice, the value of judicial justice should be pursued to the limit of its judicial application. Therefore, artificial intelligence justice should be constrained by social relations, legal rationality, and code operation. (shrink)

This study aimed to explore the influence the value modularity and a firm’s innovation performance, directly and indirectly, using knowledge management as mediating variable. Moreover, in this study, we used the resource integration ability as a moderator between the relationship value modularity and firm innovation performance. We collected data from the Chinese state-owned and state-controlled high-tech firms from 2011 to 2018. In this study, we used the gray comprehensive evaluation method to test the degree of value modularity, and hierarchical regression (...) analysis is used to analyze the relationship among variables. The outcomes of this study indicate that value modularity and firm innovation performance has inverted U-shaped and significant association. Similarly, results also confirm that knowledge acquisition and knowledge internalization mediate the relationship between value modularity and firm innovation performance. The finding of this research also confirms that resource integration ability negatively affects the relationship between value modularity and firm innovation performance. This paper enriches the research of the value modularity and gives certain inspiration to knowledge management. At the end of this study, we also suggest some significant practical implications. (shrink)

From the end of 2018 in China, the Big-data Driven Price Discrimination (BDPD) of online consumption raised public debate on social media. To study the consumers’ attitude about the BDPD, this study constructed a semantic recognition frame to deconstruct the Affection-Behavior-Cognition (ABC) consumer attitude theory using machine learning models inclusive of the Labeled Latent Dirichlet Allocation (LDA), Long Short-Term Memory (LSTM), and Snow Natural Language Processing (NLP), based on social media comments text dataset. Similar to the questionnaires published results, this (...) article verified that 61% of consumers expressed negative sentiment toward BDPD in general. Differently, on a finer scale, this study further measured the negative sentiments that differ significantly among different topics. The measurement results show that the topics “Regular Customers Priced High” (69%) and “Usage Intention” (67%) occupy the top two places of negative sentiment among consumers, and the topic “Precision Marketing” (42%) is at the bottom. Moreover, semantic recognition results that 49% of consumers’ comments involve multiple topics, indicating that consumers have a pretty clear cognition of the complex status of the BDPD. Importantly, this study found some topics that had not been focused on in previous studies, such as more than 8% of consumers calling for government and legal departments to regulate BDPD behavior, which indicates that quite enough consumers are losing confidence in the self-discipline of the platform enterprises. Another interesting result is that consumers who pursue solutions to the BDPD belong to two mutually exclusive groups: government protection and self-protection. The significance of this study is that it reminds the e-commerce platforms to pay attention to the potential harm for consumers’ psychology while bringing additional profits through the BDPD. Otherwise, the negative consumer attitudes may cause damage to brand image, business reputation, and the sustainable development of the platforms themselves. It also provides the government supervision departments an advanced analysis method reference for more effective administration to protect social fairness. (shrink)

This paper presents several results on the non-commutative fuzzy logic HpsUL, a Hilbert system whose corresponding algebraic semantics is the variety of bounded representable residuated lattices. In particular, we prove that HpsUL is not complete with respect to algebras based on the real unit interval, which answers the question posed by Metcalfe, Olivetti and Gabbay and shows that HpsUL is not the logic of pseudo-uninorms and their residua.

Using a combination of co-citation and co-word analysis, this paper reviewed the intellectual structure of the sales ethics research domain and its development over time. This multi-method bibliometric analysis included 183 sales ethics articles published between 1990 and 2020. Using co-citation analysis, we identified intellectual clusters within the research domain and explored the evolution of these clusters across three decades. We further leveraged co-word analysis to identify core themes (keywords) and delineated the field’s changing landscape. The evolutionary trends and keyword (...) network disconnections (i.e., structural holes) suggest promising areas for future research. In particular, our analyses identified potentially fruitful opportunities related to topics such as compensation, relationship marketing outcomes, salesperson job attitudes and well-being, training, sales force control, and sales technology. (shrink)

As cyberspace has become an important factor in modern-day life, the impact of the Internet on residents has also attracted more attention. Based on the data of China Family Panel Studies, this study empirically examines the impact of Internet use on Chinese residents’ subjective well-being from a multi-dimensional perspective. The research found that Internet use had a significant impact on residents’ SWB, which was mainly reflected in job satisfaction, happiness, social ties, and future confidence. The impacts of the Internet’s different (...) application fields are not consistent. Applying its use more in studying, working, socialize and commercial activities has a stronger effect, but has no significant impact on entertainment. Further heterogeneity tests also found that the marginal effect of Internet use increases with age, male and low-income groups can obtain greater benefit from the Internet, and there is almost no difference between urban and rural areas. This research provides micro evidence of the social effects of Internet use and provides enlightenment for how to further promote the quality of Internet use to better benefit people. (shrink)

: Governance means the policy and strategy adopted in the process of running a country. In the long history of more than two thousand years, Confucianism had become the cultural core and political doctrine of the imperial autocracy, and the theory of “governance of the whole country” contained in it had become an important category in traditional Chinese culture. We should dig deep into the rich connotation of Confucian governance thought, and build a national governance system that suits society, the (...) overall situation and future through innovative development and creative transformation, so as to let excellent traditional Chinese culture return to open a new road and make the past serve the present, thus providing important theoretical guidance and historical reference for the great rejuvenation of the Chinese nation. Resumo: Governança significa a política e a estratégia adotadas no processo de gestão de um país. Na longa história de mais de dois mil anos, o confucionismo tornou-se o núcleo cultural e a doutrina política da autocracia imperial, e a teoria da “governança de todo o país” contida nele tornou-se uma categoria importante na cultura tradicional chinesa. Deve-se aprofundar na rica conotação do pensamento de governança confucionista e construir um sistema de governança nacional que se adapte à sociedade, à situação geral e ao futuro, por meio de desenvolvimento inovador e transformação criativa, de modo a permitir que a excelente cultura tradicional chinesa retorne à base, para abrir um novo caminho e fazer o passado servir ao presente, fornecendo, assim, importante orientação teórica e referência histórica para o grande rejuvenescimento da nação chinesa. (shrink)

Ben shu gong you ba jiang zu cheng, fen bie shi sheng ren bi ke xue er zhi, Wang Yangming de xin xue ti xi, shi gong yu bing xue, wen xue si xiang yu shi wen chuang zuo, jiao yu si xiang yu shi jian, Yangming hou xue, Yangming xue zai jin xian dai de ying xiang, Yangming wen hua yu Guizhou lü you. Mei ge lun ti lun shu ji zhong, shen du shi zhong, xu shu xing yu (...) yan tong su liu chang, gu shi xing qiang, hen shi he da zhong du zhe yue du. wei qi fa du zhe si kao, zeng qiang yue du xiao guo, zai mei yi jiang zhi hou shi liang she zhi le yi xie ming ci jie shi, jian da tao lun ti. ling pei he xiang guan wen zi, she zhi le yi xie tu pian, bei ke he Yangming shu fa zuo pin deng, ju you ji jia de guan shang xing. (shrink)

This paper explores whether a Student’s choice of major leads to certain personality traits and the reasons for this phenomenon. Specifically, we look at evidence from two Chinese universities, both of which specialize in agricultural studies. Using the Sixteen Personality Factor questionnaire and the Neuroticism Extraversion Openness Five-Factor Inventory questionnaire, we collected data from two groups of students: those who study agriculture-related majors, and those who study non-agriculture-related majors. The surveys all showed no significant change in personality traits during Students’ (...) freshman year. However, after 3 years of university study, significant personality trait changes were noted between seniors in the ARM and NARM groups. Whereas ARM seniors tended to be socially shy and lower in communicative competence, NARM seniors were better at expressing themselves and communicating with others. Although a Student’s choice of profession has an influence on their personality traits, it is not the only factor. The differences between ARM and NARM training models and curricula are also undoubtedly significant. Moreover, the bias against ARM in Chinese society further magnifies the differences in personality traits among students with different majors. (shrink)

In face recognition systems, highly robust facial feature representation and good classification algorithm performance can affect the effect of face recognition under unrestricted conditions. To explore the anti-interference performance of convolutional neural network reconstructed by deep learning framework in face image feature extraction and recognition, in the paper, first, the inception structure in the GoogleNet network and the residual error in the ResNet network structure are combined to construct a new deep reconstruction network algorithm, with the random gradient descent and (...) triplet loss functions as the model optimizer and classifier, respectively, and it is applied to the face recognition in Labeled Faces in the Wild face database. Then, the portrait pyramid segmentation and local feature point segmentation are applied to extract the features of face images, and the matching of face feature points is achieved using Euclidean distance and joint Bayesian method. Finally, Matlab software is used to simulate the algorithm proposed in this paper and compare it with other algorithms. The results show that the proposed algorithm has the best face recognition effect when the learning rate is 0.0004, the attenuation coefficient is 0.0001, the training method is SGD, and dropout is 0.1, and the algorithm proposed in this paper has the largest mean average precision compared to other CNN algorithms. The correct rate of face feature matching of the algorithm proposed in this paper is 84.72%, which is higher than LetNet-5, VGG-16, and VGG-19 algorithms, the correct rates of which are 6.94%, 2.5%, and 1.11%, respectively, but lower than GoogleNet, AlexNet, and ResNet algorithms. At the same time, the algorithm proposed in this paper has a faster matching time and a higher correct matching rate than the joint Bayesian method, indicating that the deep reconstruction network algorithm proposed in this paper can be used in face image recognition, FE, and matching, and it has strong anti-interference. (shrink)

Evidence suggests that perceived school culture is the most powerful predictor of teachers’ work performance. However, studies to date have paid little attention to the potential mechanisms behind this association. On the basis of the job demands–resources model, the present study explored the mediating role of affective empathy and the moderating role of job tenure in the association between perceived school culture and teachers’ work engagement. 647 primary and secondary school teachers completed questionnaires measuring perceived school culture, affective empathy, and (...) work engagement. After gender and educational level were included as covariates, the results showed that perceived school culture positively correlated with teachers’ work engagement, and more importantly, this association was partially mediated by affective empathy. In addition, job tenure significantly moderated the direct association between perceived school culture and work engagement. Specifically, there was a stronger association between perceived school culture and work engagement for teachers with shorter job tenure than those with longer job tenure. The findings suggested the direct effect of perceived school culture on work engagement, and the indirect effect of perceived school culture on work engagement through the mediating role of affective empathy. These findings enrich our understanding of how perceived school culture associates with work engagement, and highlight the moderating role of job tenure in the direct association between perceived school culture and work engagement. (shrink)

The mammalian dentition is a segmented organ system with shape differences among its serially homologous elements (individual teeth). It is believed to have evolved from simpler precursors with greater similarities in shape among teeth, and a wealth of descriptive data exist on changes to the dentition that have occurred within mammals. Recent progress has been made in determining the genetic basis of the processes that form an individual tooth, but patterning of the dentition as a whole (i.e. the number, location (...) and shape of the teeth) is less well understood. In contrast to similarly organized systems, such as the vertebral column and limb, Hox genes are not involved in specifying differences among elements. Nevertheless, recent work on a variety of systems is providing clues to the transcription factors and extracellular signalling molecules involved. (shrink)

ABSTRACT People tend to be unable to evaluate themselves accurately in many areas. One such area is their own and others’ morality. The current research explores the self–other moral valuation difference in the context of moral foundation theory. We propose that people generally have a moral positive illusion. Specifically, people overestimate their own morality and underestimate the morality of others. Two studies provide converging evidence that individuals underestimate the average moral valuations of others on the five dimensions of moral foundation (...) theory. In particular, we demonstrate three moderators for moral positive illusion: moral foundation type, gender, and political identity. Specifically, compared with the binding foundations, people have greater moral positive illusions based on the individualizing foundations; compared to men, women have greater moral positive illusions; and compared with liberals, conservatives have greater moral positive illusions based on the binding foundations. (shrink)

Daka destinations refer to tagging one’s visit to a popular destination by posting on social media. As a novel tourism concept derived from digital media in the post-pandemic era, Daka destinations have become a major option for potential tourists; thus, investigating tourist intentions toward them is of utmost significance to tourism recovery. Based on the viewpoints of information sources of Daka destinations, tourism motivations, and self-construction, this study investigates the research framework of potential tourism intentions through three scenarios. The findings (...) revealed the following: Different information sources have different stimuli for potential tourists, and WeChat Moments exerted a positive impact on tourism intention because of credibility; tourism bloggers from Weibo exert a more significant positive impact on tourism intentions of potential tourists because of professionalism. Considering the credibility of WeChat Moments, the extrinsic motivation of potential tourists exerted a more significant impact on tourism intentions; regarding professional tourism bloggers, the intrinsic motivation of potential tourists exerted a more significant impact on tourism intention. Regarding the credibility of WeChat Moments, dependent self-construction potential tourists with extrinsic motivation exerted a more significant impact on tourism intention. Regarding tourism bloggers with high professionalism, independent self-construal potential tourists with intrinsic motivation exerted a more significant impact on tourism intention. This study enriches the research mechanism of the formation path of potential tourists’ tourism intention, extends the self-construction theory to the research field of using social media to collect Daka destinations tourism information, and provides a reference to subsequent research on potential tourists’ tourism intention. (shrink)

Augmented reality-based brain–computer interface (AR–BCI) has a low signal-to-noise ratio (SNR) and high real-time requirements. Classical machine learning algorithms that improve the recognition accuracy through multiple averaging significantly affect the information transfer rate (ITR) of the AR–SSVEP system. In this study, a fast recognition method based on a separable convolutional neural network (SepCNN) was developed for an AR-based P300 component (AR–P300). SepCNN achieved single extraction of AR–P300 features and improved the recognition speed. A nine-target AR–P300 single-stimulus paradigm was designed to (...) be administered with AR holographic glasses to verify the effectiveness of SepCNN. Compared with four classical algorithms, SepCNN significantly improved the average target recognition accuracy (81.1%) and information transmission rate (57.90 bits/min) of AR–P300 single extraction. SepCNN with single extraction also attained better results than classical algorithms with multiple averaging. (shrink)

Among the beliefs related to teaching work, self-efficacy stands out and encourage innovation across the global education systems. Specifically, the lack of interest among instructors in introducing innovative techniques in physical education is a concern across China. Therefore, this study intends to investigate the role of cognitive indicators of innovation in physical education across China. This study opted for quantitative techniques, including using a structured questionnaire to collect data from targeted respondents through the survey techniques. Moreover, 800 questionnaires were circulated, (...) and as a result, 420 usable responses were attained, making the overall response rate stand at 40%. The results indicate that the above-stated cognitive factors, along with self-efficacy, have a positive role in causing innovation across the physical education exchequer of China. Likewise, self-efficacy played the mediating role between cognitive indicators and innovation in physical education in China. The study has notable theoretical and practical implications for the policymakers in terms of introducing policies that could help increase the cognitive state of educationists, which in turn possibly will help make them pursue innovation within the education system of China. (shrink)

The popularization of intelligent machines such as service robot and industrial robot will make human–machine interaction, an essential work mode. This requires employees to adapt to the new work content through learning. However, the research involved human–machine interaction that how influences the employee’s learning is still rarely. This paper was to reveal the relationship between human–machine interaction and employee’s learning from the perspective of job characteristics and competence perception of employees. We sent questionnaire to 500 employees from 100 artificial intelligence (...) companies in China and received 319 valid and complete responses. Then, we adopted a hierarchical regression for the test. Empirical results show that human–machine interaction has a U-shaped curvilinear relationship with employee learning, and employee’s vitality mediates the curvilinear relationship. In addition, job characteristics moderate the U-shaped curvilinear relationship between human–machine interaction and employee’s vitality, especially the results of moderating effects varying with employee’s competence perception. Exploring the mechanism of the effect of human–machine interaction on employee’s learning enriches the socially embedded model. Moreover, it provides managerial implications how to enhance individual adaptability with the introduction of AI into firms. However, our research focuses more on the impact of human–machine interaction on employees at the initial stage of AI development, and the level of machine intelligence in various industries will reach a high degree of autonomy in the future. The future research can explore the impact of human–machine interaction on individual’s behavior at different stages, and the results may vary depending on the technologies mastered by different individuals. The study has theoretical and practical significance to human–machine interaction literature by underscoring the important of individual’s behavior among individuals with different skills. (shrink)

To effectively reduce the homework burden and off-campus training burden of students in the compulsory education stage in China, China adopts the double reduction policy to carry out corresponding governance in the field of education. This study aims to explore the public's psychological cognition of the current education system under the implementation of the double reduction policy. The public's opinion data on education concepts under the implementation of the double reduction policy are collected, then the SPSS software and Amos software (...) to quantitatively analyze the public's educational concept data are used, and a corresponding structural model equation to analyze the public's opinion on the implementation of the double reduction policy is established. The psychological concepts of all aspects of education are observed, the public's psychological views on education under the implementation of the double reduction policy are finally obtained, the ideological connotation of popularizing the double reduction policy for the general public is provided, and the balanced development of the domestic education system for the implementation of the double reduction policy is ensured. Two suggestions are made in order to provide a corresponding reference for the public's psychological cognition research on the current education system under the implementation of the double reduction policy. (shrink)

With the continuous improvement of the level of science and technology, the popularization of the Internet and the development of applications, online consumption has become a major force in personal consumption. As a result, digital consumption is born, and digital consumption is not only reflected in transaction consumption at the monetary level. Like some intangible services similar to the use of dating software, it can also become digital consumption. In this environment, a new economic concept, the digital economy, has emerged (...) as the times require. The digital economy helps to achieve the rapid optimal allocation and regeneration of resources and achieve high-quality economic development. Therefore, as a new economic form, the digital economy has penetrated into all fields of human society. The Canopy algorithm is a fast clustering technique that requires only one pass through the data technology to get the results. But it is inaccurate for large-scale data clustering. Therefore, when analyzing the data, it is necessary to use the Canopy algorithm for preliminary clustering, and then combine with other algorithms or model software for refinement. This article introduces the development of the digital economy in the Internet era. It conducts a theoretical discussion on consumer psychology in the context of the digital economy. It introduces the basic calculation formula of the clustering algorithm and the algorithm flow of the Canopy clustering algorithm. It does model optimization for the Canopy clustering algorithm. On this basis, it designs questionnaires for experimental design. The indicators are divided into commodity attributes and consumer psychology. It builds a consumer psychology prediction model and tests the prediction results. The results show that the maximum difference between the prediction results of digital economy consumption psychology based on the Canopy clustering algorithm and the actual results is 0.047. It can be shown that the psychological prediction model of digital economy consumption based on the Canopy clustering algorithm has certain practicability. (shrink)

本书对信仰现象作了批判性反思,探讨了信仰的本质特征和信仰的根本缺陷,介绍了目前人类的信仰状况,指出信仰是一把双刃剑。并对以美育代宗教、以科学代宗教、以哲学代宗教等观点进行探讨。.