Nan Li

Dunhuang is the world's largest, longest-lasting, and most valuable cultural and artistic treasure of ancient murals and an important component of grotto art. The clothing and costumes of the Dunhuang murals reflect the process of Sinicization of Buddhism over the time. In order to save the costumes of these murals from deterioration and age-related factors, digital technology is used, which can not only save the precious cultural relics but also ensure their permanent and authentic preservation. This study takes the vestment on the imperial mural of the Vimala Kirti Sutra of Cave No. 220 in the Mogao Grottoes of Dunhuang, China, as the research object. Firstly, it studied the detailed components, materials, colors, heraldic symbols, meanings, and aesthetic characteristics of mural vestments from the perspective of clothing history. Then, it restored the clothing patterns in the murals using digital technology, established the three-dimensional clothing model on the CLO 3D platform, and carried out the 3D digital restoration of the research object. In order to verify the accuracy of the restoration results, the analytic hierarchy process and the entropy method were comprehensively used to determine the subjective and objective weights of the indexes, and the comprehensive weights were corrected based on the idea of game theory. Finally, fuzzy comprehensive evaluation was used for the restoration results. According to the final calculation result of fuzzy comprehensive evaluation, the restoration result was considered “good” with an overall evaluation score of 80.35. One of the greatest challenges of this project revolved around recovering the dilapidated mural paintings using digital technology. The high precision of the digital restoration of the vestment showcases the three-dimensional dynamic appearance of the Tang Dynasty emperors. This not only facilitates the education and propagation of traditional costume culture but also offers a novel approach to the sustainable display of mural cultural heritage.

The processing of words in sentence reading is influenced by both information from sentential context and information from previewing upcoming words, but how both effects interact during online reading is not clear. In this study, we tested the interaction of predictability effect and the preview effect in predicting reading processing. In the experiment, sentence constraint was controlled using all high-constraint sentences as materials. We manipulated both the predictability of the target word in the sentence and the semantic relationship between the preview word and the target word as predictors of the semantic preview effect. The results showed that the semantic preview effect was present only when the target word had low-predictability in the sentence but was not observed when the target word had high-predictability in the sentence. The results suggest that contextual information in reading can modulate the pre-activation of words and thus influence whether the preview word has a priming effect. The results of this study provide further evidence that reading comprehension involves an interactive system of processing multiple sources of information at multiple levels.

Under the dual background of underemployment and health inequality, this study empirically analyzes the impact of education level on underemployed workers’ health based on data from the 2016 China Labor-force Dynamics Survey. The results show that underemployment is significantly related to the decline of self-rated health, increased depressive tendencies, and the prevalence of illness over a certain period. The results indicate that underemployment can significantly reduce the health level of workers in both low and high education level groups. However, underemployment appears to have no significant impact on workers’ health in the middle education level group. This result holds even if the measurement method of the indicators is adjusted and endogeneity is considered; this indicates that the research conclusions are robust. Moreover, this kind of health inequality mainly comes from the economic and leisure effects of underemployment for workers with different educational levels. Although underemployment significantly reduces the economic level of workers in each education level group, it brings a positive leisure effect to workers with a middle education level and a negative leisure effect to workers with a low education level. This study provides empirical support for increasing labor protection mechanisms for underemployed people and reducing the health inequality caused by differences in education level.