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 study aims to explore the role of digital education in the development of skills and employability for engineering students through researching the role of big data analytics courses. The empirical study proposes the hypothesis that both soft and hard skills have positive effects on human capital, individual attributes, and the career development dimensions of engineering students. This is achieved through constructing a framework of three dimensions of engineering students’ employability and two competency development dimensions of big data analytics courses. (...) A questionnaire survey was conducted with 155 college engineering students and a structural equation model was used to test the hypotheses. The results found that courses on big data analytics have a positive impact on engineering students’ abilities in both hard skills and soft skills dimensions, while soft skills have a more significant impact on engineering students’ employability. The study has practical and theoretical implications that further enriches the knowledge base on engineering education and broadens our understanding of the role of digitalization in enhancing the skills and employability of engineering students. (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)

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 emergence of environmental sustainability and green business management, increasing demands have been made on businesses in the areas of environmental corporate social responsibility. Furthermore, the influence of ECSR on green capital investment, environmental performance, and business competitiveness has also been the subject of attention from enterprises. However, in previous studies, the mediating role of green information technology capital in the relationship between ECSR, environmental performance, and business competitiveness, has not been investigated by researchers. In order to bridge this (...) gap in the ECSR literature, this study aims to examine the influence of ECSR on green IT capital, and the consequent effect of green IT capital on environmental performance and business competitiveness. Data were collected from 358 companies from the top 1000 manufacturers in Taiwan. The results confirmed that ECSR has significant positive effects on green IT human capital, green IT structural capital, and green IT relational capital. Green IT structural capital and green IT relational capital have positive effects on environmental performance and business competitiveness, and environmental performance has a positive effect on business competitiveness. In addition, green IT structural capital and green IT relational capital have partial mediating effects on ECSR, environmental performance, and business competitiveness. The implications and suggestions for future research are discussed. (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)

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)

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)

Explore the influence mechanism of discrimination perception on higher vocational Students’ career exploration, it provides empirical evidence for promoting vocational college Students’ career exploration and career development. Using the questionnaire survey method, 893 higher vocational students from four higher vocational colleges in Jiangsu Province were investigated by using the Discrimination Perception Scale, the Core Self-Evaluation Scale, the Chinese version of the Acceptance and Action Questionnaire, the Chinese version of the Cognitive Fusion Questionnaire and the Career Exploration Scale. The data were (...) analyzed using SPSS26.0 and Amos23.0, and the results showed that discrimination perception was significantly negatively correlated with core self-evaluation, psychological flexibility and career exploration, core self-evaluation was significantly positively correlated with psychological flexibility and career exploration, and psychological flexibility was significantly positively correlated with career exploration ; Core self-evaluation and psychological flexibility mediated the effect between discrimination perception and career exploration with effect sizes of −0.054 and −0.061, respectively; Core self-evaluation and psychological flexibility mediated the chain effect between discrimination perception and career exploration of higher vocational students with effect sizes of −0.030. Therefore, discrimination perception not only directly influences career exploration of higher vocational students, but also indirectly influences career exploration of higher vocational students through the separate mediating effects of core self-evaluation and psychological flexibility and the chain mediating effects of core self-evaluation and psychological flexibility. Accordingly, the following suggestions are put forward, which should pay attention to the cultivation of core self-evaluation and psychological flexibility of higher vocational students, strengthen the teaching quality and improve the image of vocational colleges. (shrink)

Face recognition is one of the core and challenging issues in computer vision field. Compared to computer vision, human visual system can identify a target from complex backgrounds quickly and accurately. This paper proposes a new network model deriving from Where-What Networks (WWNs), which can approximately simulate the information processing pathways (i.e., dorsal pathway and ventral pathway) of human visual cortex and recognize different types of faces with different locations and sizes in complex background. To enhance the recognition performance, synapse (...) maintenance mechanism and neuron regenesis mechanism are both introduced. Synapse maintenance is used to reduce the background interference while neuron regenesis mechanism is introduced to regulate the neuron resource dynamically to improve the network usage efficiency. Experiments have been conducted on human face images of 5 types, 11 sizes, and 225 locations in complex backgrounds. Experiment results demonstrate that the proposed WWN model can basically learn three concepts (type, location and size) simultaneously. The experiment results also show the advantages of the enhanced WWN-7 model for face recognition in comparison with several existing methods. (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)

Since the breakdown of the Bretton Woods system in the early 1970s, the foreign exchange market has become an important focus of both academic and practical research. There are many reasons why FX is important, but one of most important aspects is the determination of foreign investment values. Therefore, FX serves as the backbone of international investments and global trading. Additionally, because fluctuations in FX affect the value of imported and exported goods and services, such fluctuations have an important impact (...) on the economic competitiveness of multinational corporations and countries. Therefore, the volatility of FX rates is a major concern for scholars and practitioners. Forecasting FX volatility is a crucial financial problem that is attracting significant attention based on its diverse implications. Recently, various deep learning models based on artificial neural networks have been widely employed in finance and economics, particularly for forecasting volatility. The main goal of this study was to predict FX volatility effectively using ANN models. To this end, we propose a hybrid model that combines the long short-term memory and autoencoder models. These deep learning models are known to perform well in time-series prediction for forecasting FX volatility. Therefore, we expect that our approach will be suitable for FX volatility prediction because it combines the merits of these two models. Methodologically, we employ the Foreign Exchange Volatility Index as a measure of FX volatility. In particular, the three major FXVIX indices from 2010 to 2019 are considered, and we predict future prices using the proposed hybrid model. Our hybrid model utilizes an LSTM model as an encoder and decoder inside an autoencoder network. Additionally, we investigate FXVIX indices through subperiod analysis to examine how the proposed model’s forecasting performance is influenced by data distributions and outliers. Based on the empirical results, we can conclude that the proposed hybrid method, which we call the autoencoder-LSTM model, outperforms the traditional LSTM method. Additionally, the ability to learn the magnitude of data spread and singularities determines the accuracy of predictions made using deep learning models. In summary, this study established that FX volatility can be accurately predicted using a combination of deep learning models. Our findings have important implications for practitioners. Because forecasting volatility is an essential task for financial decision-making, this study will enable traders and policymakers to hedge or invest efficiently and make policy decisions based on volatility forecasting. (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.

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。.

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)

1. Huai hai yi tan ; Si shu jin yu -- 2. Zuo cui ti ping -- 3. Zhuang yi yao shan -- 4. Sun Shanfu du xue wen ji ; Xue kong jing she shi gao ; Lun xia xi guan shi zhu sheng xi wen ; You xin yao cao ; Ji yi ; Sun Ying'ao bei ke ji yi.

Previous research on plagiarism has increased awareness and knowledge of the various aspects of this issue, such as contributing factors to plagiarism, students’ and teachers’ perceptions of plagiarism, and institutional policies and regulations on plagiarism. Yet much of this research, especially on the latter two aspects, has been conducted in Anglo-American contexts or English-as-a-second-language settings, while the diversity of English-as-a-foreign-language contexts remains relatively under-researched. Of those studies that did focus on EFL contexts, the majority were based on survey data that (...) were limited in the depth of information collected. To address this relative lack of in-depth understanding of how plagiarism is understood and acted against in EFL contexts, this paper reports on an interview study with 13 EFL teachers from 12 universities in mainland China. The study focused on the teachers’ knowledge and attitudes concerning plagiarism, plagiarism-related pedagogical practices, as well as perceived stances and expectations of their institutions in plagiarism prevention. Its findings contribute to the current knowledge base of EFL academics’ views and practices regarding plagiarism, add to our understanding of EFL teachers’ experiences concerning plagiarism in specific educational settings, and inform institutions’ efforts to develop and improve strategies and policies for preventing plagiarism. (shrink)

Labour issues in global supply chains have been a thorny problem for both buyer firms and their suppliers. Research initially focused mostly on the bilateral relationship between buyer firms and suppliers, looking at arm’s-length and close collaboration modes, and the associated mechanisms of coercion and cooperation. Yet continuing problems in the global supply chain suggest that neither governance type offers a comprehensive solution to the problem. This study investigates collaborative governance, an alternative governance type that is driven by buyer firms (...) setting up a coalition with competitor firms to increase leverage and address the supplier and/or host country-specific labour issues. Based on interviews with managers involved in the establishment and management of such coalitions and supplier firms in the garment industry, we examine the rationale behind collaborative governance and discuss its opportunities and challenges in addressing labour issues in global supply chains. (shrink)

本书简要介绍了心理学一代宗师高觉敷先生的生活与工作经历,收录了对高觉敷先生的纪念文章和心理学思想研究文章,以及高觉敷先生的代表作精选.

This study examines consumers’ uses of corporate social responsibility communication channels, the relationship of such uses to consumers’ CSR awareness, and the mechanisms through which consumers’ CSR awareness can lead to their intention to participate in CSR activities. Specifically, we explored the mediation effects of consumers’ CSR associations with a company, consumers’ assessment of the company’s CSR credibility, and consumers’ perceptions of their relationship with the company, applying the conceptual frameworks of the uses and gratification theory, source credibility theory, and (...) organization–public relationship scholarship. We conducted an online survey of a company’s customers, and the results showed that their level of awareness of the company’s CSR activities was positively related to the degree of use of all communication channels through which they received CSR messages, except CSR reports. The degree of the customers’ awareness of the company’s CSR programs, however, did not always correspond to the customers’ intention to participate in the programs: a crucial condition mediating between the customers’ knowledge of CSR programs and their intention to participate in the programs was their associating the company with CSR. The CSR associations influenced CSR credibility and perceived OPR quality, which, in turn, led to CSR participation intention. We discuss the theoretical and practical implications of these findings. (shrink)