Objective:The purpose of this study was to describe the current situation of moral distress and to explore its influencing factors among Chinese nurses.Methods:This is an exploratory, descriptive design study. A total of 465 clinical nurses from different departments in three Grade-III, Level-A hospitals in Jinan, Shandong Province, completed the questionnaires, including demographics questionnaire, Chinese version of Moral Distress Scale–Revised, and Job Diagnostic Survey.Ethical considerations:The study was approved by the university ethics board and the local health service director.Results:The total score of (...) Moral Distress Scale–Revised was 36.01 ± 24.02 points. The mean frequency and intensity scores of moral distress were 1.13 ± 0.49 and 1.09 ± 0.58, respectively. The level of moral distress among Chinese clinical nurses was low, and the frequency and intensity of moral distress were on low to moderate level. The level of moral distress experienced by clinical nurses is associated with demographics features and job characteristics, including age, education degree, department, task significance, autonomy, and dealing with others.Conclusion:Our conclusion suggests that hospital and organizational administrations should attach much importance to the moral distress experienced by clinical nurses in China. Further studies should focus on interventions about how to reduce the levels of the frequency and intensity of moral distress among clinical nurses. (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)

The creative thinking and ability of top management team members is important in coping with rapid changes in the external environment and improving the competitive advantage of an organization. This research focuses on the CEO–TMT interface to explain how CEOs influence TMT characteristics, which in turn affects TMT outcomes. Based on social learning theory, this study examines the associations among CEO ethical leadership, TMT cohesion and TMT creativity in a Chinese context using a total of 91 top management teams. To (...) verify the reliability and validity of the constructs, a series of confirmatory factor analyses (CFAs) were run. The results showed that the hypothesized model captured distinct constructs and fits the data well. Multistep regression method was used to test hypotheses. The results indicated that (a) CEO ethical leadership has a positive effect on TMT creativity; (b) TMT cohesion plays a mediating role in the relationship between CEO ethical leadership and TMT creativity; and (c) power distance plays a moderating role in the relationship between CEO ethical leadership and TMT creativity. The greater the power distance, the weaker the positive relationship between CEO ethical leadership and TMT creativity. This study demonstrates the value of CEO ethical leadership and advocates the importance of establishing team cohesion and building a psychologically safe environment to motivate top managers within an organization to share information and knowledge to improve creativity. (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)

Volume 46, Issue 6, November 2020, Page 773-777.

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)

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.

The use of performance feedback in the workplace has gained popularity over the years, yet school heads have been challenged in providing it to teachers. In the initial interview, they shared that evaluation results can impact teachers’ motivation, and that feedback should be done carefully. However, they failed to clearly articulate a specific mechanism that had been applied in this vital role. Also, no studies have provided clear detail on the feedback mechanism used by school heads in the past. For (...) this reason, a study explored the feedback mechanisms employed by school heads in conveying the performance evaluation results to teachers. This study employed a narrative inquiry, and interviews were conducted with five school heads and five teachers who were chosen purposively for this research. Responses were recorded using a voice recorder. These responses were transcribed and analyzed using thematic narrative analysis. Based on transcripts, the study identified six emergent themes, such as conversational (one-on-one), relational, reflective, technical, reinforcing, and properly situated mechanisms in conveying performance evaluation results to teachers. Thus, a new feedback mechanism framework was developed. (shrink)

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.

Traditional multiple-group confirmatory factor analysis is usually criticized for having too restrictive model assumption, namely the scalar measurement invariance. The new multiple-group analysis methodology, alignment, has become an effective alternative. The alignment evaluates measurement invariance and more importantly, permits factor mean comparisons without requiring scalar invariance which is usually required in traditional multiple-group CFA. Some simulation studies and empirical studies have investigated the applicability of alignment under different conditions, but some areas remain unexplored. Based on the simulation studies of Asparouhov (...) and Muthén and of Flake and McCoach, this current simulation study is broken into two sections. The first study investigates the minimal group sizes required for alignment in three-factor models. The second study compares the performance of multiple-group CFA, multiple-group exploratory structural equation model, and alignment by including different proportions and magnitudes of cross-loadings in the models. Study 1 shows that when the model has no noninvariant parameters, the alignment requires relatively lower group sizes. Explicitly, the minimal group size required for alignment was 250 when the amount of groups was three, the minimal group size was 150 when the amount of groups was nine, and 200 when the amount of groups was 15. When there are noninvariant parameters in the model and the amount of groups is low, a group size of 350 is a safe rule of thumb. When there are noninvariant parameters in the model and the amount of groups is high, a group size of 250 is required for trustworthy results. The magnitude of noninvariance and the noninvariance rate do not affect the minimal group size required for alignment. Study 2 shows that multiple-group CFA provides accurate factor mean estimates when each factor had 20% factor loading with small-sized cross-loading. Multiple-group ESEM provides accurate factor mean estimates when the magnitude of cross-loading is small or when each factor had 20% factor loading with medium-sized cross-loading. Alignment provides accurate factor mean estimates when there are only small-sized cross-loadings in the model. The parameter estimates, coverage rates and ratios of average standard error to standard deviation for each methodology are not influenced by the amount of groups. Recommendations are concluded for using multiple-group CFA, multiple-group ESEM, traditional alignment and aligned ESEM based on the results. Multiple-group CFA is more suitable for use when scalar invariance is established. Multiple-group ESEM works best when there are small-sized or only a few medium-sized cross-loadings in the model. Traditional alignment allows for small-sized cross-loadings and a few noninvariant parameters in the model. AESEM integrates the advantages of alignment and ESEM, can provide accurate estimates when noninvariant parameters and cross-loadings both exist in the model. Compared to multiple-group CFA, multiple-group ESEM, the alignment methodology performs well in more situations. (shrink)

The food and package delivery workforce in China has grown substantially in the past decade. However, delivery drivers face volatile and stressful work conditions, which can give rise to high turnover and burnout. Past research has indicated that job demands and resources significantly predict burnout. Scholars have also found evidence that mindfulness may be a protective factor against negative outcomes like burnout. Using data collected from 240 food and package delivery drivers in Beijing, China, we examined the effects of JD-R (...) on burnout and whether these relations were moderated by mindfulness. Estimates produced by regression analyses indicated that job demands have significantly positive effects on burnout, while job resources have a significant negative effect on burnout. Mindfulness significantly moderated the effects of JD and JR on burnout. Results suggest that mindfulness is a protective factor for delivery drivers. Practice and policy implications are discussed. (shrink)

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。.