Suchergebnisse

This thesis aims to contribute to research on Academic English editing by examining the copy-editing and revision work on The Italian Economy after COVID-19: Short-term Costs and Long-term Adjustments, a collection of scholarly contributions on the socioeconomic and political consequences of the COVID-19 pandemic in Italy. The work was completed by three language professionals hired by the publisher, Bononia University Press (BUP). At the time, they were working for BUP as interns for the Digital Open Transformation (DOT) project, a collaboration between the publisher and the Department of Interpreting and Translation (DIT), University of Bologna. Through a corpus-based approach, this thesis seeks to reveal the possible cross-reviser inconsistencies due to individual inclinations and preferences in their editing and revision work and discuss the possible reasons behind them, thus providing evidence to the indispensability of well-defined rules and a functional workflow for Academic English editors and revisers. In Chapter 1, previous literature, covering both research on editing and revision and genre-based research on Academic English, is reviewed. In Chapter 2, a brief account of the project setting, including information on the publisher, the revised book and the major participants in its publication process, the three revisers studied in this thesis, and their copy-editing and revision workflow, is provided. In Chapter 3, the methodology of this study is explained, along with the materials and tools used. In Chapter 4, the results of the analyses are presented and an attempt is made to discuss the possible reasons behind such inconsistencies based on previous literature, the revisers' background information, and the project setting.

China has established the universal medical insurance system and individual out of pocket costs have decreased, however, the average healthcare expenditure of the Chinese population and the expenses of the whole society have increased substantially. One major challenge which impedes the progress of attaining sustainable development of the social healthcare system in China is that the number of hospital admissions is disproportionate. Superior hospitals are overcrowded, whereas subordinate hospitals are experiencing low admissions. In this paper, we apply the game theory model to coordinate the healthcare supply chain network, which is composed of the government, medical insurance fund, superior hospitals, subordinate hospitals and patients. Especially by taking the reference price effect into account, this paper analyzes different medical insurance reimbursement strategies and their influence on patient choice and the healthcare supply chain network. The result shows that the reference price effect increases the leverage of medical insurance, guides patients' choice, optimizes the allocation of medical resources and reduces the medical expends. In comparison to a decentralized decision- making strategy, a centralized decision- making strategy can stimulate both superior hospital and subordinate hospital's cooperative intentions which benefits the social healthcare system.

AbstractFor decades, financial institutions have been very motivated in creating structured high‐yield financial products, especially in the economic environment of lower interest rates. Reverse convertible notes (RCNs) are the type of financial instruments, which in recent years first in Europe and then in the US – have become highly desirable financial structured products. They are complex financial structured products because they are neither plain bonds nor stocks. Instead, they are structured products embedding equity options, which involve a significant amount of asset returns' uncertainty. Given this fact, pricing of reverse convertible notes becomes a really big challenge, where both the general Black–Scholes option pricing model and the compound Poisson jump model which are designed to catch large crashes, are not suitable in valuing these kinds of products. In this paper, we propose a new asset‐pricing framework for reverse convertible notes by extending the pure Brownian increments to Lévy jump risks for the underlying stock return movements. Our framework deals with time‐changing volatilities of stock options with Lévy jump processes by considering the stocks' infinite‐jump possibilities. We then use a discrete‐time GARCH with time‐changed dynamics Lévy Jump processes in order to derive the assets' valuations. The results from our new model are close to the market's valuations, especially with the normal‐inverse‐Gaussian model of the Lévy jump family.

In recent years, there has been an increasing interest in the efficiency of the lecture and flipped classroom instruction method (FCIM) on EFL students' academic passion (AP) and responsibility. Although these variables have been studied before, more studies still need to be conducted in this field. The statistical population of this study includes all language students at the University of Tabriz in the academic year 2022–2023. In the current study, 72 of 552 persons were selected using a one-stage cluster sampling method from students in term two and randomly assigned to two groups (36 persons for each group). This research is a quasi-experimental method based on the objectives and method of data collection. Two questionnaires were used in this study: AP and responsibility questionnaire. The content validity index (CVI) and content validity ratio (CVR)methods examined the content validity of the textbook course. The results showed that students' AP and responsibility in flipped classroom instruction (FCI) are significantly higher than in the lecture method. Thus, by activating learners, they can direct their thoughts and actions in a way that has a more significant impact on their motivation, AP, responsibility, and ultimately on their learning. It can be concluded that FCI is more efficient than the lecture method.

In the research on the rural women's political participation, it concerns why they participate in community governance and how we can ensure their real participation. With a case study of Zhoushan Village's experience in successfully promoting the empowerment of rural women so that they may truly participate in community governance and then proceed to promote structural reform in the community, this paper examines the effective approaches taken over the past decade for rural women's participation in community governance, and the far-reaching effects that their participation has had on individual and family status, the economy, society and culture. The experience of Zhoushan Village, which has been the result of interaction, is global and local, original and contextual, co-created and accepted by local women and villagers together. It will make a special contribution to good governance of rural communities in the transitional period of social governance in rural China.

This article aims to analyze the correlation status and development trend among science, technology and industry in the Artificial Intelligence (AI) subfield. First, it constructs the classification system and retrieval strategy for the AI subfield, and performs data cleaning and data finishing. Second, it designs the criteria and judgment method of the Industry Development Stages (IDS) in the AI subfield with the Delphi survey method. Third, it designs the monitoring method and model of the Science-Technology-Industry (STI) correlation with the methods of scientometrics and clustering, which involves three dimensions: science and IDS, technology and IDS, science & technology clustering and IDS; especially the monitoring with the global and national perspectives. Finally, it conducts empirical application in the field of neural network. The results illustrate that the correlation monitoring method can be conducive to grasp accurately the development opportunity and trend, the advantage subfield, and the development status of Science and Technology (S&T) for the dominant countries. The United States leads the global development in the empirical field. The proposed correlation monitoring method in this article can also be applied in other fields.

Previous studies have shown that sleep quality is associated with risk-taking behaviors, but the psychological mechanism of this relationship is unclear among emerging adults at university. In the present study, we examined the relationship among sleep quality, resilience, and risk-taking behaviors in college students. A sample of 1221 college students (50.4% females, M age = 22.58, SD = 1.28) was enrolled in our survey. The Pittsburgh sleep quality index (PSQI), domain-specific risk-taking scale, and Connor–Davidson resilience scale were used to test sleep quality, risk-taking behaviors, and resilience. The results showed that PSQI scores positively correlated with risk-taking behaviors, and the poor sleep quality increased participants' risk-taking behaviors by decreasing resilience. The findings suggested that resilience played a mediating role between sleep quality and risk-taking behaviors among college students. The relationships between sleep quality and risk-taking behaviors, and sleep quality and resilience were moderated by gender. Specifically, the association between sleep quality and resilience was greater in females than in males; however, the association between sleep quality and risk-taking behaviors was greater in males than in females. The present study revealed that prevention and intervention aimed at improving sleep are needed to enhance resilience and reduce risk-taking behaviors.