Detecting latent topics and trends in blended learning using LDA topic modeling.

With the rapid application of blended learning around the world, a large amount of literature has been accumulated. The analysis of the main research topics and development trends based on a large amount of literature is of great significance. To address this issue, this paper collected abstracts from 3772 eligible papers published between 2003 and 2021 from the Web of Science core collection. Through LDA topic modeling, abstract text content was analyzed, then 7 well-defined research topics were obtained. According to the topic development trends analysis results, the emphasis of topic research shifted from the initial courses about health, medicine, nursing, chemistry and mathematics to learning key elements such as learning outcomes, teacher factors, and presences. Among 7 research topics, the popularity of presences increased significantly, while formative assessment was a rare topic requiring careful intervention. The other five topics had no significant increase or decrease trends, but still accounted for a considerable proportion. Through word cloud analysis technology, the keyword characteristics of each stage and research focus changes of research were obtained. This study provides useful insights and implications for blended learning related research.

Crowdfunding Curriculum Design Based on Outcome-Based Education.

Entrepreneurship has flourished in recent years; however, since education on how to raise funds has received little attention from scholars, obtaining funds remains a difficult task. The development of crowdfunding has provided new opportunities to entrepreneurs, thus solving the funding, marketing, and distribution problems they previously faced. The main purpose of this study is to organize crowdfunding literature and to develop a crowdfunding curriculum grounded on output-based education. Students are asked to develop a product and a crowdfunding plan within the span of one semester. This study explains the teaching content separately from the crowdfunding plan competition, course elements, and timetable.

Coming back home to start up a business? A comparison between youth from rural and urban backgrounds in China.

Youth entrepreneurship is regarded as an important part of rural revitalization. Against the backdrop of the rural revitalization strategy, the Chinese government has introduced many policies to encourage return-home entrepreneurship among young people. However, highly educated youth have a lower willingness to return home for entrepreneurship, and prefer urban entrepreneurship or getting a job in a city. Therefore, this study used a two-stage approach to explore the factors that influence young people's contribution to the development of their homeland, the barriers they face, and the support mechanisms they need. The study found that many barriers affect young people's intention to return home for entrepreneurship. In rural areas, young people consider lagging environmental development to be the biggest barrier. In urban areas, infrastructure, lack of entrepreneurial experience, and funding are the factors that concern young people the most. As they have limited entrepreneurial experience, young people in both rural and urban areas have a high demand for shared entrepreneurial experience, as well as entrepreneurship courses and mentoring. The government and universities should remove the barriers faced by young people, provide more assistance, improve the environment for young people engaging in return-home entrepreneurship, and form a good entrepreneurial ecology.

Precision Teaching and Learning Performance in a Blended Learning Environment.

Blended learning has gained increasing popularity in colleges and universities with mixed results. Precision teaching can effectively promote learning performance. The relation between perceived precision teaching (PPT) and the learning performance of college students in a blended learning environment is investigated in this paper. In the research survey is featuring a structural model, 256 college students who attended blended learning courses featuring precision teaching participated. The model results revealed that PPT is directly and positively related to self-efficacy and learning motivation. Self-efficacy and learning motivation are directly and positively related to cognitive, teaching, and social presence. Additionally, cognitive, teaching, and social presence are directly and positively related to learning performance. Therefore, PPT is remotely and indirectly related to learning performance. These findings provide a new perspective for the theoretical study on blended learning performance and provide a realistic reference for precision teaching practice in the blended learning environment.

Can China's industrial policies enhance the green competitiveness of the manufacturing industry?

This study innovatively uses local government regulations related to manufacturing to quantitatively identify industrial policies. The degree of influence and functional mechanism of China's industrial policies on the green competitiveness of the manufacturing industry are empirically examined using the provincial and regional panel data. Additionally, the synergistic complementary effect between industrial policy power and market forces and the fiscal decentralization's role in influencing industrial policies are investigated. The results reveal that the promulgation and implementation of industrial policies have significantly promoted the green competitiveness of the manufacturing industry. Regarding functional mechanisms, environmental governance has played a positive role in promoting the green competitiveness of the manufacturing industry supported by industrial policies, resource allocation, and innovation incentives. Meanwhile, industrial policies on green competitiveness in manufacturing depend on marketization and fiscal decentralization in local governments. The above findings demonstrate that the local governments in China, a developing economy, can play the role of development-oriented governments. Based on conforming to market deepening and system optimization, they can formulate and implement industrial policies in a rational manner and achieve green development and upgrade the manufacturing industry.

Positive Emotions and Entrepreneurial Intention: The Mediating Role of Entrepreneurial Cognition.

Under the background of "mass entrepreneurship and innovation," entrepreneurship and innovation for college students not only alleviates the current social employment pressure but also sets off the upsurge of their entrepreneurship. It is a significant field to research the entrepreneurial intention of undergraduates as potential entrepreneurs, which covers the study of entrepreneurial intention from the perspective of personal traits and entrepreneurial cognition. This article studies entrepreneurial intention from two aspects: irrational positive emotions and rational entrepreneurial cognition, which aims to reveal the mechanism of positive emotions and entrepreneurial cognition on entrepreneurial intention. After investigating 288 college students participating in entrepreneurial competitions, establishing structural equations, and using SmartPLS software for data analysis, the research result showed that positive emotions significantly positively impact the three scripts of entrepreneurial cognition: arrangement scripts, willing scripts, and ability scripts. The arrangement, willing, and ability scripts positively influence entrepreneurial intention, while positive emotions do not affect entrepreneurial intention. Arrangement scripts and ability scripts have a full mediating effect between positive emotions and entrepreneurial intention. Based on these findings, we provide suggestions for the government and society, schools, and individual students on innovation and entrepreneurship.

High-throughput identification of antibacterials against methicillin-resistant Staphylococcus aureus (MRSA) and the transglycosylase.

To identify new transglycosylase inhibitors with potent anti-methicillin-resistant Staphylococcus aureus (MRSA) activities, a high-throughput screening against Staphylococcus aureus was conducted to look for antibacterial cores in our 2M compound library that consists of natural products, proprietary collection, and synthetic molecules. About 3600 hits were identified from the primary screening and the subsequent confirmation resulted in a total of 252 compounds in 84 clusters which showed anti-MRSA activities with MIC values as low as 0.1 µg/ml. Subsequent screening targeting bacterial transglycosylase identified a salicylanilide-based core that inhibited the lipid II polymerization and the moenomycin-binding activities of transglycosylase. Among the collected analogues, potent inhibitors with the IC(50) values below 10 µM against transglycosylase were identified. The non-carbonhydrate scaffold reported in this study suggests a new direction for development of bacterial transglycosylase inhibitors.