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Based on the concept of cultural translation, aiming at the application status and problems of traditional cultural elements in automobile styling design, analyzing the mapping relationship between traditional cultural levels and cultural creative design elements, and constructing a cultural translation model. Sort out the process and method of extracting typical cultural elements from the material layer, organization layer and concept layer of traditional culture and transform them into detail points, characteristic lines and modeling surfaces, and analyze and summarize the existing automobile face design cases.

With the expansion of academic information, scholars face a big challenge of efficiently selecting valid information in the era of big academic data. A venue recommendation system is one of the main ways to assist scholars in solving the information overload problem. This paper focuses on the issue of how to fit appropriate academic journals for manuscripts efficiently. It extracts diverse academic entities and edges from academic data for constructing academic heterogeneous information networks. This paper proposes a novel method for venue recommendation (SCVR) . Firstly, the topic information is extracted from the abstracts and topics by LDA and guides different types of nodes to map to the multi-topic feature space. Then, the meta-path contextual information is aggregated to the target node, forming a multi-topic node representation. Finally, the node representations from multiple mate-paths are combined into the final multi- topic node representations. SCVR learns the multi- topic node representations with paper content and network structure to venue recommendation.Experiments on two real academic datasets show that a heterogeneous information network recommendation incorporating article topics can effectively improve the performance of the venue recommendation. Compared with the current heterogeneous information network recommendation and traditional venue recommendation, the performance of SCVR has improved by an average of 2.7% and 19%, which indicates that SCVR has better performance in the area of venue recommendation. [ABSTRACT FROM AUTHOR]

In this study, we explore the consumption and asset allocation problem with random horizon in which stock returns are unobservable and capital gains are taxed. The agent with recursive utility could apply the historical stock prices and her private information to learn the expected returns on the stock. We obtain a semi-analytical solution to this problem. Numerical results show that the weights in the non-concealed risky asset and the safe asset increases and decreases with the expected return learnt, respectively. Besides, as the accuracy of estimation gets improved, the agent will reduce her consumption and riskless asset investment and enhance her investment in the non-concealed risky asset. However, information learning does not affect the tax evasion strategy. We also find that the effect of risk aversion on consumption-wealth ratio is significantly affected by the estimation accuracy. [ABSTRACT FROM AUTHOR]

The problem of grassland degradation induced by livestock production at the expense of local grasses has become a serious ecological problem worldwide. To maintain livestock production and sustainable grassland development, the extent and intensity of grassland utilization needs to be better understood. In this study, a model was developed to monitor the intensity of grazing in a typical grazing area (Tibet Selinco basin) of the Qinghai‐Tibet Plateau. Combining the number of livestock at the township scale with their matching livestock habitat area and location, the biomass consumed by livestock was assigned to a productivity supply map (NPP) using a mathematical iterative algorithm from the perspective of different foraging habits of different livestock. The objective was to accurately measure the overall grazing pressure on the pasture as well as to estimate livestock pasture utilization. The model confirmed distinct spatial differences in the intensity of grassland utilization in the Tibet Selinco basin, in which the overall intensity was significantly low except in the southwestern region. The overall grazing area was found to be 150,000 km2, of which moderate grazing area occupied 130,000 km2 and overgrazing area occupied 20,000 km2, accounting for 87% and 13% of the total grazing area, respectively. The proposed model can quantify human activities spatially and provide a reliable and accurate scientific basis for livestock production development and ecological environment management. [ABSTRACT FROM AUTHOR]