Thinking about the Development of Stall Economy Based on SWOT analysis

This paper examines the current situation of the development of the stall economy by analyzing data from Yujincheng area of Xi’an. And analyzes the four dimensions of the development of the stall economy in the context of COVID-19 under the SWOT perspective, and proposes feasible suggestions and countermeasures for the sustainable development of the stall economy by applying the four SWOT strategies

Thinking about the Development of Stall Economy Based on SWOT analysis

This paper examines the current situation of the development of the stall economy by analyzing data from Yujincheng area of Xi’an. And analyzes the four dimensions of the development of the stall economy in the context of COVID-19 under the SWOT perspective, and proposes feasible suggestions and countermeasures for the sustainable development of the stall economy by applying the four SWOT strategies

An Optimized CNN Model for Engagement Recognition in an E-Learning Environment

In the wake of the restrictions imposed on social interactions due to the COVID-19 pandemic, traditional classroom education was replaced by distance education in many universities. Under the changed circumstances, students are required to learn more independently. The challenge for teachers has been to duly ascertain students’ learning efficiency and engagement during online lectures. This paper proposes an optimized lightweight convolutional neural network (CNN) model for engagement recognition within a distance-learning setup through facial expressions. The ShuffleNet v2 architecture was selected, as this model can easily adapt to mobile platforms and deliver outstanding performance compared to other lightweight models. The proposed model was trained, tested, evaluated and compared with other CNN models. The results of our experiment showed that an optimized model based on the ShuffleNet v2 architecture with a change of activation function and the introduction of an attention mechanism provides the best performance concerning engagement recognition. Further, our proposed model outperforms many existing works in engagement recognition on the same database. Finally, this model is suitable for student engagement recognition for distance learning on mobile platforms. © 2022 by the authors.open access</p

Research on the Impact of Big Country Agent Strategy on the “the Belt and Road”

The major initiatives of the “Silk Road Economic Belt” and the “21st Century Maritime Silk Road” have become the broadest platform for international cooperation in line with the trend of economic globalization, and an initiative in line with the world’s multipolar development, cultural diversity and social informatization. The proposal of the “the Belt and Road” has made the world economy more globalized, more efficient in allocating resources and more deeply integrated into the market. The principle of the “the Belt and Road” initiative is to discuss, build and share together, promote infrastructure construction and connectivity, strengthen economic policy coordination and development strategy docking, promote coordinated and interconnected development, achieve common prosperity, and jointly build a community with a shared future for mankind. However, in the context of the implementation of the agent strategy by major countries, the “the Belt and Road” has been greatly affected in terms of economy, culture, resources, finance, security, etc. This paper comprehensively analyzes the profound impact of agent strategy on the “the Belt and Road” initiative worldwide, and it can be seen that the “the Belt and Road” is based on the position of China and countries along the Belt and Road, comprehensively strengthening economic cooperation among countries along the Belt and Road, and promoting high-quality economic and trade cooperation among countries along the Belt and Road