Ming Chen

Pseudo-clefts are the building blocks of coherent discourse progression and serve as a rhetorical toolkit to construct an authorial stance in the academic discourse. Despite an increasing interest in grammatical constructions in the academic discourse, researchers have not treated pseudo-clefts in much detail. This paper explores the features of pseudo-clefts in the corpus of academic discourse in the field of applied linguistics. Here, we take the textual and the interpersonal perspectives, focusing on the use of pseudo-clefts in terms of their distribution in generic structure, discourse functions with reference to clefted constituents, and evaluative meaning. The results show that pseudo-clefts were more frequently used in “Results and Discussion” and Literature Review, performing the functions such as the specification of key terms, generalization of the literature, the description and explanation of findings, etc. They are facilitative in creating information gaps and establishing a logic-semantic expansive relationship between the clauses. The findings also suggest that the pseudo-clefts are evaluative devices and are involved in the construction of authorial identities.

Learning burnout is an important indicator that reflects an individual’s learning state. Understanding the influencing factors and mechanism of learning burnout of medical students has practical significance for improving their mental health. This study aimed to explore the mediating roles of school identity and collective self-esteem between school psychological environment and learning burnout in medical students. A total of 2,031 medical students were surveyed using the School Psychological Environment Questionnaire, School Identity Questionnaire, Collective Self-esteem Scale, and Learning Burnout Scale. The results showed the following: school psychological environment had a negative effect on learning burnout among medical students, and school identity and collective self-esteem played significant mediating roles between school psychological environment and learning burnout [95% CI = ]. Specifically, there were three paths that school psychological environment and learning burnout: first, through the independent mediating role of school identity; second, through the independent mediating role of collective self-esteem; and third, through the chain mediating roles of school identity and collective self-esteem. The findings reveal that school psychological environment not only directly influences the learning burnout of medical students but also indirectly influences it through school identity and collective self-esteem. Thus, this study has some important implications for prevention and intervention of learning burnout among medical students.

Cultural development is often reflected in the emotional expression of various cultural carriers, such as literary works, movies, etc. Therefore, the cultural development can be analyzed through emotion analysis of the text, so as to sort out its context and obtain its development dynamics. This paper proposes a text emotion analysis method based on deep learning. The traditional neural network model mainly deals with the classification task of short texts in the form of word vectors, which causes the model to rely too much on the accuracy of word segmentation. In addition, the short texts have the characteristics of short corpus and divergent features. A text emotion classification model combing the Bidirectional Encoder Representations from Transformers and Bi-directional Long Short-Term Memory is developed in this work. First, the BERT model is used to convert the trained text into a word-based vector representation. Then, the generated word vector is employed as the input of the BiLSTM to obtain the semantic representation of the context of the relevant word. By adding random dropout, the mechanism prevents the model from overfitting. Finally, the extracted feature vector is input to the fully connected layer, and the emotion category to which the text belongs is calculated through the Softmax function. Experiments show that in processing short texts, the proposed model based on BERT-BiLSTM is more accurate and reliable than the traditional neural network model using word vectors. The proposed method has a better analysis effect on the development of western culture.

City management and urban management in recent years a hot topic in academic research, but many scholars and managers to operate in the city's urban reality-based, meaning nature, followed by the basic theory and other aspects of the problems faced and did not achieve the same views. Although the city management demonstrated in many forms, but its meaning and essence is to enhance the competitiveness of the target city; the theoretical basis of urban management can be from the Tiebout model, reinventing government movement and Breton's concept of competitive government to find ; administered one-sided understanding of urban land and other cities will not only result in resource depletion, increasing the burden on enterprises and the masses and liabilities over the city, but easily induced financial risk; to prevent the city management to go astray, not only need to solve the local government and other powers, powers not problems, improve urban management, legislation, also need to reflect on the city's comprehensive land management ideas, and regulate government behavior and the market order of reconstruction. Urban management has become a hot issue of urban administration and academic studies in recent years. But among so many scholars and practicers, there are no all-agreed views about real conditions, basic topics, theories, and the problems faced to urban management. Although there are a great variety of managerial styles, the targets of them are same, that is to enhance the competitiveness of the cities. The fundamental theories of urban management can be found in the concepts like Modeter Model, Governmental Recreation Move and Britton Competitive Governments. Any short sight on urban management could cause waste or depriving use of resources, load too heavy burden on individuals and enterprises, or incur the city too much debts which will be easyly involved in financial risk. To prevent urban management moving into the wrong road, we have to solve the problems like unbalanced rights of finance and executive, perfect urban administrative legislation, adjust the plan of urban land management, standardize governmental behavior and rebuild market order, etc