Suchergebnisse

AbstractThis study focuses on applying Qupeiyin, a mobile phone app, to pronunciation teaching among English major students. Through a 16‐week teaching experiment implemented in control and experimental classes among English major freshmen, with the help of pre‐test, post‐test, questionnaire and assisting tools like EXCEL and SPSS, this study concluded that Qupeiyin app‐assisted pronunciation teaching is effective in improving students' pronunciation proficiency in both segmental and suprasegmental features. Students' error rate in pronunciation decreased significantly. The reason for the positive effects in pronunciation teaching are as follows: (1) multimedia learning materials such as colourful pictures and text, interesting music and songs, authentic readings and dialogues in the app attract students and arouse their interest in learning pronunciation through dubbing; (2) the targeted pronunciation knowledge is transformed into an interesting dubbing activity with explicit teaching aims, which renders the pronunciation teaching more intuitive and easier to understand; (3) Qupeiyin divides a short video into multiple utterances of several seconds, and each utterance of the video can be played and repeated over and over again, giving students enough chance to practice each sound and making them more engaged in the practice so that students may not think too much of Chinese pronunciation; and (4) students feel learning while being entertained the dubbing activity is an entertaining activity in itself, they achieve a sense of accomplishment through dubbing without less pressure.

AbstractIn cross‐border regions (CBRs), especially in Cross‐Border Regional Innovation Systems (CBRISs) research, proximity has traditionally served as the primary framework for measuring cross‐border integration and supports the view that the closer the proximity on both sides of the border in terms of physical, functional, cognitive, institutional and other dimensions, the more integration is fostered. Recently, however, this view has been questioned, with both theoretical studies of 'related varieties' and empirical results from specific cross‐border cases challenging the adequacy of the proximity framework as a singular dimension for analysing CBR integration. To bridge this knowledge gap, this paper expands the proximity framework to four dimensions of relational proximity, innovation ecological environment integration, complementary advantages and common goals from the perspective of innovation ecosystem, builds an analytical assessment framework of cross‐border regional innovation ecosystem (CBRIE), and conducts an empirical analysis of the Shenzhen–Hong Kong CBR. The results show that the framework accounts well for the development of CBRIEs. Furthermore, the exchange of innovation factors between Shenzhen and Hong Kong has made greater progress and accelerated, and is moving towards building an innovation ecosystem. However, they have not yet formed a complete CBRIE.

AbstractArtificial intelligence has become a new engine to achieve innovation‐driven development. Integrating artificial intelligence and education will lead to a new education development model and promote better education. Analysing the development trends in artificial intelligence education in various countries shows the demands for training and platform construction of artificial intelligence education. Artificial intelligence education presents the characteristics of diversified technology, personalized instruction, and intelligent student assessment.

AbstractWith the rapid development of Internet technology and artificial intelligence, information technology has shown a trend of exponential growth. To improve the core competitiveness, the organization's boundaries gradually disappear and move towards virtualization. Virtualization is an effective form of organizational development in the information age. Based on the literature review regarding artificial intelligence and the related theories of organizational virtualization, this paper focuses on analysing the phased impact of the application of artificial intelligence on the virtualization of internal operations and the virtualization of interorganizational cooperation.

AbstractMulti-stage reverse electrodialysis (MSRED) offers a promising way for efficient salinity gradient energy harvesting. Here, an improved model of the MSRED system under serial control strategy is proposed. The technical–economic analysis is conducted with considering discount, depreciation and different regional tax and electricity price levels under the maximum net power output conditions. Results reveal that net power output and energy efficiency both increase first with increasing stage numbers, reach their maximum values, and then decrease. For 5 M/0.05 M solutions, the optimal net power output of 4.98 kW is obtained at the stage number n = 12. The optimal stage number corresponding to the maximum net power increases with increasing feed solution concentrations. Due to the compromise between net power generation and capital cost, there exist optimal stage numbers leading to the lowest LCOE and largest NPV, respectively. Higher feed solution concentration can significantly decrease the system LCOE and increase the NPV. The optimal stage number corresponding to the maximum NPV increases with increasing feed solution concentrations. In Germany, for 5 M/0.05 M solutions, the lowest LCOE of 0.061 €·kWh−1 is achieved at n = 3 while the highest NPV over the system lifecycle of 52,005 € is obtained at n = 8. Lower tax, higher electricity price, appropriate membrane price and stage numbers, and high salinity gradient sources can significantly accelerate the commercial completeness of the MSRED systems.

AbstractLow-grade heat recovery has received increasing attention as an essential contributor to improving overall energy utilization efficiency and facilitating the carbon neutrality commitment. Here, we developed a techno-economic analysis model of converting low-grade heat into electricity and hydrogen via the osmotic heat engine (OHE) and power-to-gas facility to alleviate the dilemma of lacking practical application scenarios of waste heat. The contribution margin is optimized in real time by either sending the electricity generated by the OHE into the electrolyzer for hydrogen production or selling it at market price in Wuhan, China, thus to identify the economically viable OHE costs under different conditions. Results show that the allowed heat engine cost is significantly impacted by the capacity factor, lifetime and discount rate. The effect of the capacity size of power-to-gas facility on allowed heat engine cost strongly depends on the hydrogen price. The allowed OHE cost increases with the elevating waste heat temperature for each heat transfer scenario. The hybrid energy system can be economically competitive compared with current mature technologies when the waste heat temperature is higher than 68 ℃ and 105 ℃ for fluid and air as heat transfer fluid, respectively. The economically viable heat engine cost is expected to gradually decline from 50,043 ¥/kW to 18,741 ¥/kW within next 15 years. Incentive policy would boost the economic viability of converting low-grade heat into electricity and hydrogen.

Chinese civilization has a long history, and the Central Plains, with Henan as the core, is one of its birthplaces. Understanding the psycho-linguistic changes in Henan is of great significance for understanding the evolution and formation of national cultural psychology. The traditional method is mainly qualitative or speculative, which makes the consistency among the research results low. Moreover, because most of the research are conducted in a specific period or on a specific figure, they are relatively scattered and unsystematic. To systematically and quantitatively study the psychological changes in the Central Plains represented by Henan Province, this article aimed to examine the self-reported discourses of historical celebrities in Henan in official history and their psycho-linguistic changes based on the classical Chinese Linguistic Inquiry and Word Count (classical Chinese LIWC, CC-LIWC) psycholinguistic dictionary and the classical Chinese words segmentation system, using big data. The research found that the frequency of male words in Henan historical celebrities (F = 2.938, p < 0.05), of differ words (F = 4.767, p < 0.01), of motion words (F = 4.042, p < 0.01), and of time words (F = 5.412, p < 0.01) are significantly different among the five dynasties. The conclusion is that during the Spring and Autumn and the Warring States periods, 100 schools of thought contended, and the status of "scholars" in Henan rose. The frequency of male and differ words was at that point significantly higher than during the other dynasties. From "The Contention of a Hundred Schools of Thought" to "The Supremacy of Confucianism," the scholars in Henan were in decline, and differential cognitive tendencies had diminished since the Han dynasty. During the period of the Three Kingdoms and Jin and Southern and Northern Dynasties, political powers and territories changed, and the historical celebrities in Henan show a remarkable tendency that were related to time and space. The psycho-linguistic changes found in ...