Fang Wang

The formation and development of any architectural form and system has its own historical and cultural background. The ancient Chinese architectural system has a long history and characteristics inseparable from the historical development of Chinese traditional philosophy. Chinese philosophy, as a theory of human self-consciousness, does not give knowledge, but mainly gives ideas and ways of thinking for the needs of human self-development; At the same time, ancient Chinese architecture became a physical object reflecting the idea of traditional Chinese philosophy. Therefore, in order to explore ancient Chinese architecture, it is necessary to analyze and study it from the point of view of traditional Chinese philosophy. Like Confucius' thoughts on etiquette, the idea of the "doctrine of the middle" and the concept of hierarchical division; These ideas had a profound influence on ancient Chinese architecture, including urban planning, traditional dwellings, the environment, Lao Tzu's desire for harmony and unity between man and nature, worship of the gods, etc., as well as the theory that emerged later "Feng Shui", etc. temple space and garden architecture in the south of the Yangtze River. This article is devoted to the analysis of the influence of Confucianism and Taoism on the general principle of designing spaces of ancient Chinese architecture. The article selects some typical examples of ancient Chinese architecture for analysis. The following principles are manifested in the design of spaces of Chinese architecture under the influence of Confucianism and Taoism: moderation of living space; the principle of symmetry, balance and coordination; architectural hierarchy formed on the basis of the needs of "rituals"; integration of architecture and the environment; design of spaces according to "Feng Shui".

The stone lion played an important role in ancient Chinese architectural decoration and was often used in traditional Chinese architecture in different Chinese dynasties. China is not the natural habitat of the lion, but this animal has long been revered by the Chinese. The stone lion is a metaphor of the Chinese culture. The stone lions are one of the most important artistic expressions in various arts. As the stone lion culture emerged, developed and matured, its artistic image has become a unique spiritual and cultural symbol in China. This article consists of three parts: the historical status and symbolic significance of stone lions; the characteristics and evolution of the stone lion image in different dynasties of China; and the decorative characteristics of stone lions in different subject-spatial environments. The article is devoted to research and interpretation of the symbolic meaning of the Chinese stone lion, its decorative characteristics in different subject-spatial environments; analysis of its characteristics and evolution of its image in different historical epochs. Using various examples the article shows how culture and ideology have influenced the evolution of the characteristics of the image of the Chinese stone lion.

With a focus in the financial market, stock market dynamics forecasting has received much attention. Predicting stock market fluctuations is usually challenging due to the nonlinear and nonstationary time series of stock prices. The Elman recurrent network is renowned for its capability of dealing with dynamic information, which has made it a successful application to predicting. We developed a hybrid approach which combined Elman recurrent network with factorization machine technique, i.e., the FM-Elman neural network, to predict stock market volatility. In this paper, the Standard & Poor’s 500 Composite Stock Price index, the Dow Jones industrial average index, the Shanghai Stock Exchange Composite index, and the Shenzhen Securities Component Index were used to demonstrate the validity of our proposed FM-Elman model in time-series prediction. The results were compared with predictions obtained from the other two models which are basic BP neural network and the Elman neural network. Some experiments showed that the FM-Elman model outperforms others through different accuracy measures. Furthermore, the effects of volatility degree on prediction performance from different stock indexes were investigated. An interesting phenomenon had been found through some numerical experiments on the effects of different user-specified dimensions on the proposed FM-Elman neural network.

Online discussion forums are an essential and standard setup in online courses to facilitate interactions among learners. However, learners’ inadequate participation in online discussion forums is a long-standing challenge, which necessitates instructor intervention and the design consideration of online learning platforms. This research proposes and studies the role of mandatory participation, i.e., learners’ participation in online course forums by instructors’ requirements, in fostering their voluntary participation and boosting their learning performance. This novel effect link between mandatory participation and voluntary participation has not been assessed in previous research. An empirical study is conducted using a large-scale dataset of 27,767 learners from a leading massive open online course platform in China. The findings indicate that besides its direct effect on learning performance, learners’ mandatory participation has a significant positive effect on their voluntary participation in online course forums, enhancing learning performance. Moreover, the effect of mandatory participation on voluntary participation varies across learner groups, being more prominent for early registrants than late registrants and part-time learners than full-time learners. This research contributes to the online learning literature by introducing mandatory participation as a viable approach to foster voluntary participation and boost learning performance through enhanced voluntary participation. It provides evidence on the effectiveness of the novel design feature of MOOC platforms that enables and facilitates the mandatory participation mechanism in online learning.