Student well-being and its relationships with academic achievement in China have not been well-investigated. This study aimed at investigating student well-being and the trade-off of the well-being and academic achievement with a sample of 1,353 Chinese high-school students from four cities in China during coronavirus disease 2019 pandemic period. The six dimensions of well-being were utilised to test the relationships with three subjects including Mathematics, English, and Chinese using a quantitative analysis. In this study, the relationships between six dimensions of (...) well-being and three academic subject achievements were tested in one statistical model. Results showed that spiritual well-being was ranked the highest, followed by psychological, physical, self, and social well-being. Students gave the lowest ranking to academic well-being. The two significant paths identified were between spiritual well-being and two subjects, namely, Chinese and Mathematics. It is interesting to note that the other five dimensions of well-being were significantly associated with any subjects and English was not significantly related to any dimensions of well-being in this study. Our findings suggested that policymakers and other stakeholders should avoid an “all or nothing” mindset on practice when considering well-being as a multidimensional construct. (shrink)

Ben shu tong guo dui Kang Youwei zhi "qun" yu"du" guan nian de kao cha, lai ba wo Kang Youwei dui ge ren, guo jia nai zhi tian xia zhi xu de shen ke si kao. Zhu yao nei rong you: yi, Jin dai"qun-du" guan nian de chu xian ji qi zou xiang, er, Kang Youwei "qun-du" guan nian chan sheng de si xiang bei jing, san, "Du ren" yu Kang Youwei dui xian dai xing ge ti sheng cun zhi (...) ling hui, si, "Qun" yu guo jia wei xin, wu, "qun-du" guan lian yu chong tu: min quan yu guo jia guan nian zhi jian de zhang li, liu, Shi jie fan wei zhi "du" yu "qun" : guo jia yu "da tong"deng. (shrink)

In its three decades of development, many constructs of cause-related marketing have been tested from different perspectives and in varied contexts. However, there has not yet been an integrated empirical study. Reviewing 162 studies from 117 articles, we constructed a framework of meta-analysis and identified 20 constructs. Among these, 13 are antecedents that can be grouped into three components: consumer-related traits, execution-related factors, and product-related traits, while three mediators and four consequences are used to measure the effectiveness of cause-related marketing. (...) Moreover, we examined 857 relationships among the constructs. The results showed that consumer-related traits, execution-related factors, and product-related traits all influence the effectiveness of cause-related marketing to varying degrees. Furthermore, we analyzed the effects of six moderators and found that cause-related marketing would be more effective when the brand is familiar, the product is utilitarian, the donation magnitude is large, and the cause is less familiar. However, neither cultural orientation nor cause type significantly influences the effectiveness of cause-related marketing. Finally, the interactions between these moderators and execution-related antecedents provide contributions and implications for cause-related marketing. (shrink)

Combining the communicative language competence model and the perspective of multimodal research, this research proposes a research framework for oral communicative competence under the multimodal perspective. This not only truly reflects the language communicative competence but also fully embodies the various contents required for assessment in the basic attributes of spoken language. Aiming at the feature sparseness of the user evaluation matrix, this paper proposes a feature weight assignment algorithm based on the English spoken category keyword dictionary and user search (...) records. The algorithm is mainly based on the self-built English oral category classification dictionary and converts the user’s query vector into a user-English-speaking type vector. Through the calculation rules proposed in this paper, the target user’s preference score for a specific type of spoken English is obtained, and this score is assigned to the unrated item of the original user’s feature matrix as the initial starting score. At the same time, in order to solve the problem of insufficient user similarity calculation accuracy, a user similarity calculation algorithm based on “Synonyms Cilin Extended Edition” and search records is proposed. The algorithm introduces “Synonyms Cilin” to calculate the correlation between the semantic items, vocabulary, and query vector in the user query record to obtain the similarity between users and finally gives a user similarity calculation that integrates user ratings and query vectors method. For the task of Chinese grammar error correction, this article uses two methods of predicting the relationship between words in the corpus, Word2Vec and GloVe, to train the word vectors of different dimensions and use the word vectors to represent the text features of the experimental samples, avoiding sentences brought by word segmentation. On the basis of word vectors, the advantages and disadvantages of CNN, LSTM, and SVM models in this shared task are analyzed through experimental data. The comparative experiment shows that the method in this paper has achieved relatively good results. (shrink)

- A powerful defence of religion in which the author draws upon his wide knowledge of the world religions.- One of the greatest ironies of the modern world is that its most ardent champions are the blindest to the real assets of the times.

With the popularity of computer-based testing, it is easier to collect item response times in psychological and educational assessments. RTs can provide an important source of information for respondents and tests. To make full use of RTs, the researchers have invested substantial effort in developing statistical models of RTs. Most of the proposed models posit a unidimensional latent speed to account for RTs in tests. In psychological and educational tests, many tests are multidimensional, either deliberately or inadvertently. There may be (...) general effects in between-item multidimensional tests. However, currently there exists no RT model that considers the general effects to analyze between-item multidimensional test RT data. Also, there is no joint hierarchical model that integrates RT and response accuracy for evaluating the general effects of between-item multidimensional tests. Therefore, a bi-factor joint hierarchical model using between-item multidimensional test is proposed in this study. The simulation indicated that the Hamiltonian Monte Carlo algorithm works well in parameter recovery. Meanwhile, the information criteria showed that the bi-factor hierarchical model is the best fit model. This means that it is necessary to take into consideration the general effects and the multidimensionality of the RT in between-item multidimensional tests. (shrink)

The unwillingness of college students to use recycled water has become a key barrier to sewage recycling on campus, and it is critical to strengthen their inclination to do so. This paper used college students in Xi’an as a case study and adopted event-related potential technology to explore the effect of social norms on the willingness to use recycled water and the neural mechanism of cognitive processing. The results suggested the following: The existence of social norms might influence college students’ (...) willingness to use recycled water. When individuals’ willingness to use recycled water is lower than the social norm, there is a bigger feedback-related negative amplitude. College students pay more attention to social norms in groups with closer social distance. These findings can be used to provide a scientific basis for persuading the public to use recycled water from the perspective of the social norm to drive public acceptability. (shrink)

As two different art categories, literature and painting use temporal words and spatial images respectively to convey information and narrative. In addition to the pursuit of visual decoration, the paintings in books and periodicals in the period of the Republic of China were widely and profoundly influenced by the literature of the same period from the aspects of the style of expression, the theme of content and the creative techniques, thus breaking through the limitations of their own media and achieving (...) narrative effects like literary. The reflection of literary thoughts and trends in theme, the translation of classical novels in content and the use of literary techniques such as metaphor, synaesthesia and “Bixing” in the expression techniques that further highlighted the functional value, aesthetic value, and historical value of the images. In the visual information age, only by maintaining the characteristics of their own media and absorbing the narrative advantages of other artistic media, can images break through the limitation of plane static space and achieve a narrative effect with more artistic appeal and ideological and cultural depth. (shrink)

With the advent of the Big Data era, information and data are growing in spurts, fueling the deep application of information technology in all levels of society. It is especially important to use data mining technology to study the industry trends behind the data and to explore the information value contained in the massive data. As teaching and learning in higher education continue to advance, student academic and administrative data are growing at a rapid pace. In this paper, we make (...) full use of student academic data and campus behavior data to analyze the data inherent patterns and correlations and use these patterns rationally to provide guidance for teaching activities and teaching management, thus further improving the quality of teaching management. The establishment of a data-mining-technology-based college repetition warning system can help student management departments to strengthen supervision, provide timely warning information for college teaching management as well as leaders and counselors’ decision-making, and thus provide early help to students with repetition warnings. In this paper, we use the global search advantage of genetic algorithm to build a GABP hybrid prediction model to solve the local minimum problem of BP neural network algorithm. The data validation results show that Recall reaches 95% and F1 result is about 86%, and the accuracy of the algorithm prediction results is improved significantly. It can provide a solid data support basis for college administrators to predict retention. Finally, the problems in the application of the retention prediction model are analyzed and corresponding suggestions are given. (shrink)

The risk priority number calculation method is one of the critical subjects of failure mode and effects analysis research. Recently, RPN research under a fuzzy uncertainty environment has become a hot topic. Accordingly, increasing studies have ignored the important impact of the random sampling uncertainty in the FMEA assessment. In this study, a fuzzy beta-binomial RPN evaluation method is proposed by integrating fuzzy theory, Bayesian statistical inference, and the beta-binomial distribution. This model can effectively realize real-time, dynamic, and long-term evaluation (...) of RPN under the condition of continuous knowledge accumulation. The major contribution of the proposed model is to use the random uncertainty and fuzzy uncertainty in an integrated model and provide a Markov Chain Monte Carlo method to solve the complex integrated model. The study presented a case study, which presented how to apply this model in practice and indicated the significant influence on the measurement error caused by ignoring the random uncertainty caused by expert evaluation in RPN calculations. (shrink)

Voluntary disclosures of sustainability information have recently received considerable attention by investors, regulators, and public companies in improving reliability and integrity of corporate reporting. We examine the association between the quantity and quality of sustainability disclosures and earnings quality in the context of corporate ethical value and culture. We posit that sustainability disclosures of environmental, social, and governance (ESG) performance reports are linked to earnings quality, because of the importance of both earnings quality and ESG sustainability disclosures to investors and (...) trustworthiness of corporate reporting. We collect our sample of 35,110 firm-year observations between 1999 and 2015. Using both difference-in-difference tests and OLS regression, we find that sustainability disclosure quantity is positively associated with innate earnings quality and negatively correlated with discretionary earnings quality in mitigating managerial earnings manipulation and unethical opportunistic reporting behavior. Further tests illustrate that sustainability disclosure quality can strengthen the positive relation between innate earnings quality and sustainability disclosure quantity and mitigate the negative relation between discretionary earnings quality and sustainability disclosure quantity. Finally, additional tests suggest that the relation between earnings quality and sustainability disclosure quantity is moderated by corporate structure and prior-year sustainability performance. Our results provide policy, practical, and research implications as ESG sustainability reporting is being integrated into corporate culture and business models. (shrink)

‘Individualized medicine’ is an emerging paradigm in clinical life science research. We conducted a socio-empirical interview study in a leading German clinical research group, aiming at implementing ‘individualized medicine’ of colorectal cancer. The goal was to investigate moral and social issues related to physician–patient interaction and clinical care, and to identify the points raised, supported and rejected by the physicians and researchers. Up to now there has been only limited insight into how experts dedicated to individualized medicine view its problems. (...) Interviews with researchers and clinicians were based on a prestructured questionnaire. The content analysis revealed a broad spectrum of opinions. Major findings were disappointments with the limits of the current therapy regimen and clinical practice; problematic impacts on physician–patient relationship; and an informed consent procedure which is mainly based on paternalistic assumptions. According to our analysis, major problems will be uncertainties related to the biomarker's sensitivity and specificity, and the identification of ‘non-responders’. However, the findings also indicate that experts expect evidence-based medicine to replace decisions based on gut feeling or hierarchical structures. (shrink)

Using Bakhtin's notion of polyphony, this study explored the discussion of the end-of-life issues in the Course on Life and Death Education in one Chinese university. Ethnographic methods were adopted to investigate the collision between the classroom voices and the voices of the mainstream culture on end-of-life in the process of developing students' attitudes toward death. The findings revealed that “to understand death” involved challenging the voice of “strangeness and fear of death”; “honestly facing up to and accepting the feelings (...) of the fear, pain, and helplessness” was the response to “be brave”; and the goal “to die peacefully” resisted the notion of “extending life at any cost.” Through the collision between these voices, students developed their attitudes toward death in facing, understanding, accepting, and choosing how to die. The analysis further revealed that providing only one “answer” to death by the teacher is not sufficient or effective to foster students' attitudes toward death because the students are a diverse group holding different views on the end-of-life issues, which demonstrated the importance of creating dialogues in the life and death education. (shrink)

Prior research indicates that managers’ dark personality traits increase their tendency to engage in disruptive and unethical organizational behaviors including accounting earnings management. Other research suggests that the prevalence of dark personalities in management may represent an accidental byproduct of selecting managers with accompanying desirable attributes that fit the stereotype of a “strong leader.” Our paper posits that organizations may hire some managers who have dark personality traits because their willingness to push ethical boundaries aligns with organizational objectives, particularly in (...) the accounting context where ethical considerations are especially important. Using several validation studies and experiments, we find that experienced executives and recruiting professionals favor hiring a candidate with dark personality traits into an accounting management position over an otherwise better-qualified candidate when the hiring organization faces pressure to manage earnings. Our results help to illuminate why individuals with dark personality traits may effectively compete for high-level accounting positions. (shrink)

The relationship between professional ethical reflection and corresponding moral behavior is an important theme of moral psychology in recent years. Following Schönegger and Wagner’s research in German-speaking countries, through a replication-extension of the original US-based research carried out by Schwitzgebel and Rust, we aim at examining their results in the Chinese context. The previous researchers have shown that ethical reflection generally has no positive effect on moral behavior. A cross validation of this result was conducted in Chinese mainland, and three (...) issues concerning Confucian virtues were added. Through reaching out to 4482 professors and collecting 368 responses altogether, we attempted to explore whether professional ethical reflection can influence normative attitude and the moral attitude-behavior consistency. Unfortunately, the results failed to show a statistically significant difference between ethicists and other professors on most of the moral issues, with the exception of paying academic membership fees and vegetarianism, wherein ethicists do express more stringent normative attitudes, and their moral attitude and self-reported behavior are statistically consistent. Notably, Chinese professors mainly expressed morally neutral attitudes toward the issue of eating meat, and they tended to believe that ethical reflection contributes to more and better moral behaviors. (shrink)

本书以“补白”方式选摘梁漱溟的自述、他人的评点等文字。图片的说明也改变通常的模式,尽量使之较为活泼,更具内涵。.

Published in German during the last 15 years, the 13 essays in this volume provide readers with valuable knowledge of the much discussed theme of hermeneutics today. Gadamer was an early student of Martin Heidegger and has been a lifelong friend and interpreter. These essays are an outgrowth of Gadamer's Truth and Method. They can be understood, however, independently of it. Gadamer's standpoint is a blend of Hegel's and Heidegger's, with his own independent development in part. The book contains a (...) long and highly competent introduction by the editor, David E. Linge, who has translated most of the essays. - Choice, on back cover. (shrink)

The explosion of multiomics data poses new challenges to existing data mining methods. Joint analysis of multiomics data can make the best of the complementary information that is provided by different types of data. Therefore, they can more accurately explore the biological mechanism of diseases. In this article, two forms of joint nonnegative matrix factorization based on the sparse and graph Laplacian regularization method are proposed. In the method, the graph regularization constraint can preserve the local geometric structure of data. (...) L 2,1 -norm regularization can enhance the sparsity among the rows and remove redundant features in the data. First, SG-jNMF1 projects multiomics data into a common subspace and applies the multiomics fusion characteristic matrix to mine the important information closely related to diseases. Second, multiomics data of the same disease are mapped into the common sample space by SG-jNMF2, and the cluster structures are detected clearly. Experimental results show that SG-jNMF can achieve significant improvement in sample clustering compared with existing joint analysis frameworks. SG-jNMF also effectively integrates multiomics data to identify co-differentially expressed genes. SG-jNMF provides an efficient integrative analysis method for mining the biological information hidden in heterogeneous multiomics data. (shrink)

Life satisfaction is the general evaluation of the individual’s life, which is of great significance to achieving a better life. The purpose of the present study was to investigate the mediating effect of core self-evaluation, positive affect, and negative affect in the relationship between trait mindfulness and life satisfaction based on the Mindfulness-to-Meaning theory. 991 Chinese undergraduates completed the Mindful Attention Awareness Scale, the Core Self-Evaluations Scale, the Positive Affect and Negative Affect Scale, and the Satisfaction with Life Scale. The (...) results indicated that core self-evaluation and negative affect mediated the effect of trait mindfulness on life satisfaction, consistent with the Mindfulness-to-Meaning theory. Furthermore, trait mindfulness affected life satisfaction by the mediation paths of “core self-evaluation→positive affect” and “core self-evaluation→negative affect,” which uncovered the underlying mechanism of promoting life satisfaction by combining the point of view of cognition and emotion. The present study not only contributes to a better theoretical understanding of how trait mindfulness links to life satisfaction but also provides valuable guidance for enhancing life satisfaction. (shrink)

The ideas of face consciousness, group conformity, extended family concept, and crisis consciousness in Confucian culture have a subtle and far-reaching impact on housing consumption decision among the Chinese public, forming a housing consumption model of “preferring to own a house rather than rent one.” The poor interaction between the housing rental market and the sales market caused by the shortage of rental demand and irrational purchasing behaviors has led to soaring house prices and imbalance between supply and demand that (...) prevail in major cities in China. To gain a deeper understanding of public cognitive attitude toward decisions on owning and renting a house, this study divided the subjects into high and low impact groups based on the overall Confucian culture and four subdimensions. It attempts to take a cognitive neuroscience approach for assessing public stereotypes of housing consumption decision with different types based on the analysis of event-related potentials. The results are as follows. First, overall, there is an obvious implicit stereotype of renting a house and explicit stereotype of owning a house among the public. Second, ERPs data show that descriptions of renting a house with positive adjectives could evoke more significant N400 responses. In other words, in the heuristic system, the public perceive that renting a house is restrictive, stressful, unhappy, and crisis. Data from subjective reports show that, after processing information in the analytic system, the public tend to think that owning a house is self-contained, restful, warm, and comfortable. Third, a more negative stereotype of renting a house exists in the high Confucian culture influence group Group than in the low Confucian culture influence group Group, and is more inclined to own a home. Fourth, under the Confucian culture sub-dimension, there are differences in housing consumption stereotypes between high and low groups in terms of extended family concept, group conformity, and crisis consciousness. Fifth, the moderating effect analysis found that perceived usefulness, trust in the rental market, and policy perception can be important factors in guiding public housing consumption stereotypes. (shrink)

Although work engagement as a positive organizational behavior has gained considerable achievements in recent years, there is still a lack of content research based on certain culture, job, and group characteristics. This study conducts a grounded theory research on work engagement by coding and analyzing the interview files from public servants working in the government located in Eastern China. The result shows a five-dimension construct of work engagement, which includes loyalty to the work, commitment to the working relationships, positive emotion, (...) initiative action, and priority for mixed roles. Additionally, the current study also constructs a theoretical model which discovers the dynamic variables motivating the process of work engagement and the influence of Confucianism. (shrink)

Bd. 1. System des menschlichen Erkennens -- Bd. 2. Die stammesgeschichtliche Entwicklung des menschlichen Sprechens -- Bd. 3. Die Entwicklung der Operation "Messen" -- Bd. 4. Die Evolution der instrumentellen Wahrnehmung -- Bd. 5. Die Genesis des schlussfolgernden Denkens -- Bd. 6. Die evolutionären Stufen der Analyse (des Scheidens und Unterscheidens) -- Bd. 7. Das Werden des Vorstellens (Geistes) -- Bd. 8. Die Mechanisierung und Automation der erkennenden Akte und Operationen -- Bd. 9. Die Entstehung des beziehenden Denkens -- Bd. (...) 10. Der phylogenetische Weg der Zeichengebung (Entwicklung der Elemente der Verständigung) -- Bd. 11. Der Irrtum -- Bd. 12. Kritik der Erkenntnislehre des transzendentalen Idealismus Immanuel Kants. (shrink)

PurposeTo examine the influence of family functioning on college students’ loneliness and the mediating effects of core self-evaluation and problematic mobile phone use.MethodsFamily Function Scale, Core Self-evaluation Scale, Problem Mobile Phone Use Scale, and Loneliness Scale were used to investigate 8,524 college students.Results Family functioning positively predicted core self-evaluation and negatively predicted loneliness ; Core self-evaluation negatively predicted problematic mobile phone use and loneliness ; Problematic mobile phone use significantly positively predicted loneliness ; Core self-evaluation and problematic mobile phone use (...) showed a significant chain-mediation effect between family functioning and loneliness.ConclusionThe results are helpful to comprehend the producing mechanism of loneliness and provide a theoretical basis for the intervention of loneliness. (shrink)

Uncertainty for policy makers is not new but the pressure to make decisions under conditions of uncertainty is perhaps greater than ever. The arrival of new scientific developments such as pharmacogenetics offers potentially great benefits . They have passionate supporters as well as doubters. The evidence is often extensive but unclear and policy makers may find themselves under pressure to make decisions before they feel that the evidence is compelling.The UK is particularly well placed to play a leading role in (...) the development of pharmacogenetics and is equally well placed to derive the benefits to both health and wealth that could flow from this. However, the uncertainties threaten to overwhelm the capacity of policy makers to act effectively. The uncertainties are both about the context within which the science and delivery of pharmacogentics is being developed and about the interests that could be served. This paper maps these uncertainties and concludes with some suggestions, drawing on deliberative democracy and futures thinking, as to how policy makers might manage the tensions and dilemmas they face by moving from an unstable, emergent policy arena to a more stable one. (shrink)

DNA extraction, playing an irreplaceable role in molecular biology as it is an essential step prior to various downstream biological analyses. Thus, the accuracy and reliability of downstream research outcomes depend largely on upstream DNA extraction methodology. However, with the advancement of downstream DNA detection techniques, the development of corresponding DNA extraction methods is lagging behind. The most innovative DNA extraction techniques are silica‐ or magnetic‐based. Recent studies have demonstrated that plant fiber‐based adsorbents (PF‐BAs) have stronger DNA capturing ability than (...) classic materials. Moreover, magnetic ionic liquid (MIL)‐based DNA extraction has gathered attention lately, and extrachromosomal circular DNA (eccDNA), cell‐free DNA (cfDNA), and microbial community DNA are current research hotspots. These require specific extraction methods, along with constant improvements in the way they are used. This review discusses the significance as well as the direction of innovation of DNA extraction methods to try to provide valuable references including current status and trends for DNA extraction. (shrink)

How to reduce pupils’ burden and improve learning efficiency? Research shows that non-intelligence factors and learning strategies are the key factors in the effective learning process, and external intervention can play a greater role in these two aspects. The purpose of this study is to explore the effects of different learning strategies on learning motivation under the presentation of augmented reality multimedia or traditional text learning. Sixty third-grade pupils in Hebei Province were selected, and 2 × 3 between-subjects design was (...) adopted. The dependent variable is learning motivation, which includes three dimensions: surface motivation, deep motivation and achievement motivation. The results showed that Learning strategies had a significant impact on deep motivation. The deep motivation aroused by retrieval practicing strategies was significantly higher than that aroused by restudying strategies and self-generated drawing strategies. The interaction between learning materials and learning strategies was marginally significant. When learning with AR materials, the achievement motivation of pupils in the restudying strategy group was higher than that in the retrieval practicing strategy group. Retrieval practicing strategies have positive significance in cultivating deep motivation. The combination of different learning modes and learning strategies will impact achievement motivation. (shrink)