Continuous subgraph matching problem on dynamic graph has become a popular research topic in the field of graph analysis, which has a wide range of applications including information retrieval and community detection. Specifically, given a query graph q, an initial graph G 0, and a graph update stream △ G i, the problem of continuous subgraph matching is to sequentially conduct all possible isomorphic subgraphs covering △ G i of q on G i. Since knowledge graph is a directed labeled (...) multigraph having multiple edges between a pair of vertices, it brings new challenges for the problem focusing on dynamic knowledge graph. One challenge is that the multigraph characteristic of knowledge graph intensifies the complexity of candidate calculation, which is the combination of complex topological and attributed structures. Another challenge is that the isomorphic subgraphs covering a given region are conducted on a huge search space of seed candidates, which causes a lot of time consumption for searching the unpromising candidates. To address these challenges, a method of subgraph-indexed sequential subdivision is proposed to accelerating the continuous subgraph matching on dynamic knowledge graph. Firstly, a flow graph index is proposed to arrange the search space of seed candidates in topological knowledge graph and an adjacent index is designed to accelerate the identification of candidate activation states in attributed knowledge graph. Secondly, the sequential subdivision of flow graph index and the transition state model are employed to incrementally conduct subgraph matching and maintain the regional influence of changed candidates, respectively. Finally, extensive empirical studies on real and synthetic graphs demonstrate that our techniques outperform the state-of-the-art algorithms. (shrink)

Subgraph matching on a large graph has become a popular research topic in the field of graph analysis, which has a wide range of applications including question answering and community detection. However, traditional edge-cutting strategy destroys the structure of indivisible knowledge in a large RDF graph. On the premise of load-balancing on subgraph division, a dominance-partitioned strategy is proposed to divide a large RDF graph without compromising the knowledge structure. Firstly, a dominance-connected pattern graph is extracted from a pattern graph (...) to construct a dominance-partitioned pattern hypergraph, which divides a pattern graph as multiple fish-shaped pattern subgraphs. Secondly, a dominance-driven spectrum clustering strategy is used to gather the pattern subgraphs into multiple clusters. Thirdly, the dominance-partitioned subgraph matching algorithm is designed to conduct all isomorphic subgraphs on a cluster-partitioned RDF graph. Finally, experimental evaluation verifies that our strategy has higher time-efficiency of complex queries, and it has a better scalability on multiple machines and different data scales. (shrink)

This study examined how vocabulary, syntactic knowledge, and orthographic knowledge are related to comprehension monitoring and whether comprehension monitoring mediates the relations between these language skills and reading comprehension. Eighty-nine Chinese children were assessed on their vocabulary, syntactic knowledge, orthographic knowledge, and comprehension monitoring in Grade 1. Their reading comprehension skills were assessed in Grade 1 and Grade 3. Results showed that in Grade 1, comprehension monitoring mediated the relations between vocabulary and syntactic knowledge and reading comprehension. For Grade 3 (...) reading comprehension, syntactic knowledge in Grade 1 was the only significant predictor. These findings indicate that multiple language skills make direct and indirect contributionsviacomprehension monitoring to Chinese reading comprehension, and the relations would change as children’s reading skills develop. (shrink)

In 2001, China’s moral education curriculum reform called for a returning to life as a radical shift from its previous empty sermonic pedagogy, hoping to cultivate its twenty-first century children into ethical humans. Accordingly, a notion of ‘human ecology’ appeared in the post-2001 textbook design, which became ‘co-being with’ in the latest 2016 textbook redesign. This paper picks up this co-being with as a philosophical, ethical, and ecological notion and scrutinizes its relevance to the discursive construction of China’s moral child (...) in two steps. First, it draws upon Heidegger’s thinking and the Chinese Daoist ecological understanding to explicate the philosophical significance of this ‘co-being with’ for moral education. Second, it unpacks the discursive embodiments of this ethical–ecological co-being with in connection with the construction of moral subjects in the post-2001 and 2016 textbooks. Through rigorous textual analysis, this paper finds that the post-2001 textbook discourses embody an instrumental trope and a subject vs object binary style of reasoning, which possibly makes egoistic rather than ethical children. The 2016 textbook discourses, especially those on the theme of co-being with, however, constrain the above instrumentality and envision cultivating ethical children. This paper argues this theorized co-being with provides some implications for moral education in China and the world, meanwhile raising some pedagogical challenges as well. (shrink)

With the increasing level of internationalization in higher education, the number of international students in mainland China is rapidly increasing. However, limited research has considered that student results may be affected by a reduced motivation to learn. Therefore, the aim of this research is to explore the effect of the learning motivation on the learning outcomes of international students and the moderating role of learning experience. A sample of 130 international students from 23 countries studying in mainland China was analyzed. (...) The study found a significant correlation between the learning motivations and international students' learning outcomes. It was also determined that learning experience has significantly enhances the relationship between learning motivation and the learning outcomes of international students. This study contributes to the higher education literature of on learning motivation by students and learning outcomes. (shrink)

This article conducts a mixed-method content analysis of Chinese and American news media coverage of Google DeepMind’s Go playing computer program, AlphaGo. Drawing on humanistic approaches to artificial intelligence, combined with an empirically rigorous content analysis, it examines the differences and overlap in coverage by the Chinese and American press in their accounts of AlphaGo, and its historic match with Korea’s Lee Sedol in March, 2016. The event was not only followed intensely in China, but also made the front page (...) of The New York Times. This article finds that the Chinese press was more likely than the American press to frame AlphaGo as non-threatening, which the authors attribute to cultural differences and the two countries' different understandings of Go. In addition to quantitatively identifying similarities and differences in the framing of AlphaGo, this paper also investigates the underlying and evolving contestations over what constitutes the “human” and the “machine.” It concludes by discussing the implications of the study’s findings as well as outlining avenues for further research. (shrink)

With the increasing proportion of the logistics industry in the economy, the study of the vehicle routing problem has practical significance for economic development. Based on the vehicle routing problem, the customer presence probability data are introduced as an uncertain random parameter, and the VRP model of uncertain customers is established. By optimizing the robust uncertainty model, combined with a data-driven kernel density estimation method, the distribution feature set of historical data samples can then be fitted, and finally, a distributed (...) robust vehicle routing model for uncertain customers is established. The Q-learning algorithm in reinforcement learning is introduced into the high-level selection strategy using the hyper-heuristic algorithm, and a hyper-heuristic algorithm based on the Q-learning algorithm is designed to solve the problem. Compared with the certain method, the distributed robust model can effectively reduce the total cost and the robust conservatism while ensuring customer satisfaction. The improved algorithm also has good performance. (shrink)

The correct use of connectives has great influence on language learners’ writing proficiency, while errors of connectives are common in foreign learners’ interlanguages. This study examines the types of errors that occur in native English-speaking learners’ Chinese writing, the possible causes for the errors, and the learners’ consequent learning strategies. The present research adopted corpora investigation, questionnaire survey, and focus-group interviews to examine the error types, causes of identified errors, and related learning strategies. Data analysis indicated that: the main error (...) types made by native English-speaking learners from high to low are misuse, overuse, mismatch, misplacement, and underuse of connectives; causes related to intralingual transfer greatly contributes to the presence of errors; and memory, social, and cognitive strategies were the most preferred, followed by metacognitive and compensation strategies, and then by effective strategies which were the least preferred. These findings showed that different strategies can be employed to cope with different errors in writing. The study further suggests that teachers and educators need to help native English-speaking learners find strategies that work best for them in terms of learning Chinese connectives. (shrink)

ABSTRACTUsing faces as the priming stimuli, the present study explored the influence of facial expressions on the activation of gender stereotypes using a lexical decision paradigm. Experiment 1 explored the activation of gender stereotypes when the facial primes contained only gender information. The results showed that gender stereotypes were activated. In Experiment 2, the facial primes contained both gender category and expression information. The results indicated that gender stereotypes were not activated. Experiment 3 required the participants to make emotion, gender, (...) or impression decisions concerning the facial primes before the lexical decision task. The results showed that gender stereotypes were not activated in emotion and impression decisions conditions, whereas stereotypes were activated in gender decisions condition. These finding suggest that facial expressions can inhibit automatic activation of gender stereotypes, unless the perceivers perform gender categorization processing to prime f... (shrink)

Travelling waves crossing the nervous networks at mesoscopic/macroscopic scales have been correlated with different brain functions, from long-term memory to visual stimuli. Here we investigate a feasible relationship between wave generation/propagation in recurrent nervous networks and a physical/chemical model, namely the Belousov–Zhabotinsky reaction. Since BZ’s nonlinear, chaotic chemical process generates concentric/intersecting waves that closely resemble the diffusive nonlinear/chaotic oscillatory patterns crossing the nervous tissue, we aimed to investigate whether wave propagation of brain oscillations could be described in terms of BZ (...) features. We compared experimentally detected oscillations during the spontaneous activity of the brain with BZ-like concentric waves simulated by a recently introduced artificial network. The observed overlap and agreement between simulated and measured oscillatory patterns suggests that changes in cortical areas’ neural activity might be described in terms of a recognizable diffusion pattern. We describe biological plausibility, benefits and limits of our approach and discuss the relationship among BZ-like networks, Pandemonium-like architectures and the spontaneous activity of the brain. ER -. (shrink)

The wanton dissemination of network pseudohealth information has brought great harm to people’s health, life, and property. It is important to detect and identify network pseudohealth information. Based on this, this paper defines the concepts of pseudohealth information, data block, and data block integration, designs an architecture that combines the latent Dirichlet allocation algorithm and data block update integration, and proposes the combination algorithm model. In addition, crawler technology is used to crawl the pseudohealth information transmitted on the Sina Weibo (...) platform during the “epidemic situation” from February to March 2020 for the simulation test on the experimental case dataset. The research results show that the LDA model can deeply mine the semantic information of network pseudohealth information, obtain the features of document-topic distribution, and classify and train topic features as input variables; the dataset partitioning method can effectively block data according to the text attributes and class labels of network pseudohealth information and can accurately classify and integrate the block data through the data block reintegration method; and considering that the combination model has certain limitations on the detection of network pseudohealth information, the support vector machine model can extract the granularity content of data blocks in pseudohealth information in real time, thus greatly improving the recognition performance of the combination model. (shrink)

Aiming at the problem that the embedded platform cannot meet the real-time detection of multisource images, this paper proposes a lightweight target detection network MNYOLO suitable for embedded platforms using deep separable convolution instead of standard convolution to reduce the number of model parameters and calculations; at the same time, the visible light target detection model is used as the pretraining model of the infrared target detection model and the infrared target data set collected on the spot is fine-tuned to (...) obtain the infrared target detection model. On this basis, a decision-level fusion detection model is obtained to realize the complementary information of infrared and visible light multiband information. The experimental results show that it has a more obvious advantage in detection accuracy than the single-band target detection model while the decision-level fusion target detection model meets the real-time requirements and also verifies the effectiveness of the above algorithm. (shrink)

Burnout is a serious problem in the teaching profession. Research suggests that career calling could be regarded as a protective factor against burnout; however, the mediating mechanism underlying this relationship remains to be explored. The purpose of this study was to test the mediating roles of work engagement and teachers' psychological capital. A total of 3,300 teachers completed a self-report questionnaire. Results showed that the relationship between career calling and burnout was mediated by work engagement and teacher psychological capital. These (...) findings provide insights for preventing burnout among teacher groups. (shrink)

Although substantial evidence demonstrates that directing attention to specific items is important for improving the performance of visual working memory, it is still not clear whether the attended items were better protected. The present study, thus, adopted a pre-cueing paradigm to examine the effect of attention direction and perceptual distractor on VWM. The results showed that a valid visual cue improved the individuals’ VWM performances and reduced their reaction time compared to the invalid and neutral cues. However, the VWM performances (...) in the valid and neutral cue conditions were more disrupted by a post-stimuli distractor compared to the invalid cue condition. The findings suggest that although directing attention can improve the VWM performance, it is not efficient in protecting information from being distracted. (shrink)

As a worldwide epidemic in the digital age, cyberbullying is a pertinent but understudied concern—especially from the perspective of language. Elucidating the linguistic features of cyberbullying is critical both to preventing it and to cultivating ethical and responsible digital citizens. In this study, a mixed-method approach integrating lexical feature analysis, sentiment polarity analysis, and semantic network analysis was adopted to develop a deeper understanding of cyberbullying language. Five cyberbullying cases on Chinese social media were analyzed to uncover explicit and implicit (...) linguistic features. Results indicated that cyberbullying comments had significantly different linguistic profiles than non-bullying comments and that explicit and implicit bullying were distinct. The content of cases further suggested that cyberbullying language varied in the use of words, types of cyberbullying, and sentiment polarity. These findings offer useful insight for designing automatic cyberbullying detection tools for Chinese social networking platforms. Implications also offer guidance for regulating cyberbullying and fostering ethical and responsible digital citizens. (shrink)

This research discusses the impact of the perception of video images and online word of mouth on tourists’ travel intentions. A survey of 390 users who watched travel videos on short-video platforms was conducted using structural equation modeling. The results are as follows. First, the perception of video images can significantly affect tourists’ intention to visit the destinations. Second, as a mediating variable, online word of mouth can enhance the positive effects of the perception of video images on tourists’ travel (...) intentions. Third, gender had a positive moderating effect, which was particularly obvious in the relationship between the perception of video images and online word of mouth. This research provides a theoretical basis for the utility of tourism-related short videos, which can help stimulate tourists’ intention to visit promoted destinations. (shrink)

Entrepreneurship is a tool for driving economic and social progress. Especially in Hong Kong, the government has recently taken steps to encourage young people to engage in entrepreneurship. However, Hong Kong youths’ entrepreneurial intentions are still low. The objective of this study is to empirically explore the impacts of personality traits on start-up preparation among Hong Kong youths through the constructs of the theory of planned behavior. Through a multi-channel survey, we finally collected 230 valid respondents aged 18 to 40. (...) In addition, this study used SmartPLS software to conduct confirmatory factor analysis for the measurement model as well as path analysis for the structural model. This study’s results suggested that creativity, risk-taking propensity, need for achievement, and internal locus of control influence TPB models’ components and indirectly influence start-up preparation through TPB models’ components. Also, attitude and perceived behavioral control influence intention, and intention influences preparation. Furthermore, prior entrepreneurial experience and entrepreneurship education positively influence preparation. In conclusion, this study revealed the mediating effects of TPB components between four personality traits and start-up preparation. Finally, this study had theoretical implications by providing the influence of six personality traits on youths’ entrepreneurial intention and preparation through the TPB model and the human capital theory. This study also had practical implications by providing suggestions for the government and higher education institutions. (shrink)

Little is known about the Korean Peninsula before 12 th century, due to which potentially biased assessments of its social, cultural, and political history exist. This study attempted to unearth the history of the Korean Peninsula since the late 10th century through the Buddhist inscriptions. These inscriptions unveil the authentic social environment, religious beliefs, and political ecology of late Silla and delve into the political motives and life philosophies of Silla scholars who studied the Tang Dynasty, especially their approach of (...) 'interpreting Buddhism through Confucianism'. Based on empirical research grounded in documentary evidence, combined with literary-historical methods, this study examined the inscriptions of two great Silla scholars Choi Chi-Won and Choi Eun-Wee. Their works predominantly feature Confucian thought within Buddhist narratives. Politically, they used Confucian principles as the foundation for governance, interpreting them through Buddhist concepts to enlighten the masses and strengthen dynastic rule. Ideologically, while Choi Chi-Won fully implemented Confucian logic, Choi Eun-Wee demonstrated a stronger Buddhist inclination. This research enriches the understanding of the history, culture, and society of the Korean Peninsula, highlighting the significant role of blending Confucian and Buddhist elements in shaping its social and political structures. (shrink)

Researchers have long been interested in how owners affect firms’ corporate social responsibility (CSR) performance. However, owners face diverging ethical preferences between funding and potentially benefiting from their firms’ CSR performance. To better understand owners’ influence on firms’ CSR performance, we focus on ultimate controlling owners with the highest control rights over their firms. We theorize that ultimate controlling owners with more control rights have stronger motivations and greater decision-making power to promote firms’ CSR performance to demonstrate that they are (...) responsible owners and gain legitimacy and goodwill from their stakeholders. Moreover, we explore how this positive relationship is strengthened when ultimate controlling owners and their firms share similar corporate names and receive increased financial analyst coverage, as these conditions increase the likelihood of gaining legitimacy and goodwill through their firms’ improved CSR performance. We test our theory using a sample of 852 publicly listed Chinese firms from 2008 to 2017. Our findings support our theoretical predictions and contribute to a more nuanced understanding of how differences in ownership structure and owner type associated with ultimate controlling owners shape their motives and power to affect CSR performance in their firms. (shrink)

The two mythical tales from the Samguk yusa, “Lady Suro” and “Monk Hyet’ong Defeats the Dragon” reveal the little-known evil character of the Korean dragons. The second story presents a particular scene of a confrontation between a hero and a malicious dragon; this story leads us to reflect on the question of the symbolism of evil embodied by the Dragon who has a vengeful character. The dragon symbol and its semantic variations were constructed specifically within the singular Korean context and (...) cannot be limited to Chinese Buddhist heritage. (shrink)

Belongingness is a central biopsychosocial system. Challenges to belongingness (i.e. exclusion/ostracism) engender robust negative effects on affect and cognitions. Whether overinclusion – getting more than one’s fair share of social attention – favourably impacts affect and cognitions remains an open question. This pre-registered meta-analysis includes twenty-two studies (N = 2757) examining overinclusion in the context of the Cyberball task. We found that the estimated overall effect size of overinclusion on positive affect was small but robust, and the effect on fundamental (...) needs cognitions (belongingness, self-esteem, meaningful existence and control) was moderate in size and positive in direction. Notably, the effect sizes of overinclusion were smaller than the corresponding effects of exclusion. Finally, the effects of overinclusion on positive affect were greater for high, as compared to low, socially anxious individuals. Exploring the sequelae of the full range of inclusion experiences – from exclusion to overinclusion – may enrich our understanding of the functioning of the belongingness system as well as its interaction with another central biosocial system – the social status system. (shrink)

Volume 52, Issue 1, March 2025, Page 183-188.

The present study examines whether collaborative situations make individuals more dishonest in face-to-face settings. It also considers how this dishonesty unfolds over time. To address these questions, we employed a sequential dyadic die-rolling task in which two participants in a pair sitting face-to-face received a payoff only if both reported the same outcome when each one rolled their die. In each trial, one participant rolled a die first and reported the outcome. Then, the second participant was informed of A’s reported (...) number, rolled a die as well, and reported the outcome. If their reported outcomes were identical, both of them received a reward. We also included an individual condition in which an individual subject rolled a die twice and received a reward if he/she reported the same die-roll outcome. We found that B lied significantly more than participants in the individual condition, whereas A lied as much as participants in the individual condition. Furthermore, when collaborating, more and more participants became dishonest as the game progressed, whereas there was no such trend among participants in the individual condition. These findings provide evidence indicating that collaborative settings increase dishonesty and that this effect becomes more evident as the collaboration progress. (shrink)

The study compares the changes in the theory of Marxism that took place in Europe (in the form of neo-Marxism and its movements, in particular the Frankfurt School) and the Sinicized version of Marxism. The study also examines how Sinicized Marxism was reflected in the political discourse and political philosophy of modern China (People’s Republic of China) and is reflected in social policy in the country. Studying the influence of socio-economic changes and the history of the people on ideological changes (...) allows us to identify several principles of Sinicized Marxism, which on an ongoing basis determine social policy and foreign relations. This is, first, etatism and the dominance of state interests over private ones, which limits human rights and national self-determination, but preserves the integrity and stability of the state, which protects the interests of the people. (shrink)

v.1. zhe xue de mu guang -- v.2. shu ren de shi jie -- v.3. tan suo zhen shan mei -- v.4. chong gao de wei zhi -- v.5. zhe xue guan yan jiu -- v.6-7. bian zheng fa yan jiu -- v.8-9. zhe xue tong lun.

v. 1. Tan suo zhe dao lu de tan suo -- v. 2. Lukaqi yu Makesi -- v. 3. Makesi zhu yi zhe xue ji ben wen ti yan jiu -- v. 4. Makesi zhu yi zhe xue jing dian wen xian yan jiu.

Like Machiavelli's The Prince and the Japanese Book of Five Rings, Sun Tzu's The Art of War is as timely for business people today as it was for military strategists in ancient China. Written in China more than 2,000 years ago, Sun Tzu's classic The Art of War is the first known study of the planning and conduct of military operations. These terse, aphoristic essays are unsurpassed in comprehensiveness and depth of understanding, examining not only battlefield maneuvers, but also relevant (...) economic, political, and psychological factors. Indeed, the precepts outlined by Sun Tzu regularly applied outside the realm of military theory. It is read avidly by Japanese businessmen and was touted in the movie Wall Street as the corporate raider's bible. Providing a much-needed translation of this classic, Samuel Griffith has made this powerful and unique work even more relevant to the modern world. Including an explanatory introduction and selected commentaries on the work, this edition makes Sun Tzu's strategical and tactical principles accessible not only students of Chinese history competition. (shrink)

Philip J. Ivanhoe's translation of Sun Tzu's _Art of War_ will be warmly embraced by students. His discussion in the Introduction about the text’s dating and authorship, as well as Chinese attitudes towards things military, is concise, informative, and up-to-date. The translation itself is a marvel--its language is simple and direct, making it immensely readable and clear.--Keith Knapp, is Westvaco Professor of National Security Studies, Department of History, The Citadel, The Military College of South Carolina.

本书内容涵盖执政党的政策与法律的关系,法的阶级性与社会性的关系,马克思主义关于法的概念和本质的基本原理,法是“理”与“力”的结合,法的作用与价值,民主与法制的关系,依法治国的治国方略以及对有关法学思潮 的评析等。.