Chuan bo Zhuzi jia li, xuan jiang Tai zu sheng yu, shi Ming chao zai di fang tui xing de zui zhu yao de liang zhong she hui li jiao xing shi, xian shi chu li zhi shi zhong shi wang chao zheng zhi de yi ge he xin li nian he shou dao te bie qiang diao de she hui zhi li fang shi. Jia li shi wang chao zheng zhi wen hua de yi bu fen, Ming chao wei (...) le tui guang jia li, jian li qi duo qu dao, duo ceng ji de jia li chuan bo: ji you guan fang chang dao ye you min jian zi wei, ji you li shu, li tu deng wen ben xing shi, yi you shi ren shi fan, zhi dao deng fei wen ben xing shi. (shrink)

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.

Decision-making competence refers to the ability to make better decisions, as defined by decision-making principles posited by models of rational choice. The adult decision-making competence (A-DMC) scale is a relatively mature evaluation tool used for decision-making competence. However, the A-DMC is yet far from other mature psychological evaluation tools, and especially the structure of A-DMC remains unclear. In the current study, we estimated a regularized partial correlation network of decision-making competence in a Chinese sample consisting of 339 adults who were (...) evaluated by the A-DMC, and then the centrality indicators were calculated. The results revealed that all nodes of the decision-making competence networks are positively associated, except for the association of resistance to framing (RF) and resistance to sunk costs (SC). The strongest edge was between RF and applying decision rules (DR; regularized partial correlation = 0.37). The centrality indicators of RF and applying DR were highest, revealing that these two variables may play important roles in the decision-making competence network. Our study conceptualizes the decision-making competence from network perspectives, so as to provide some insights for future researches. (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)

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)

Corporate social responsibility strategy hinges largely on the CEO characteristics in the context of an emerging market. Based on a sample of 16,144 firm-year observations obtained from 1,370 unique Chinese-listed firms, which whether voluntarily issue CSR reports over the period 2008–2019, this paper empirically examined the impact of CEO characteristics on the likelihood of issuing CSR reports. We find that CEO age, MBA education, international experience and political ideology consciousness are positively associated with the possibility of issuing CSR reports, while (...) a newly appointed CEO will decrease the likelihood of issuing CSR reports. Moreover, we consider a contingent factor, namely CEO power over the board, can significantly enhance the relationship between CEO age, political ideology consciousness, and the likelihood of issuing CSR reports. Furthermore, there’s no significant evidence indicating that CEO power can moderate the relationship between MBA education, international experience, and the likelihood of issuing CSR reports. Nonetheless, CEO power moderates the negative relationship between a newly appointed CEO and CSR reporting initiatives. This study attaches understandings to the extant literature that how top management characteristics can shape firm CSR strategies. (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。.

本书共三章,内容包括:儒者关怀的宏观定位——对佛老之学的批判反思、个体生命的意义安置——修养学说的形成和发展、社会理想的执着追求——改造现实的理论与实践。.