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The Three Gorges is an important natural geographical landmark and one of the regions with the most abundant cultural heritage preservation in the Yangtze River Basin. Therefore, establishing a demonstration area for the Yangtze River National Cultural Park has become an important site selection objective. Research on the cultural landscape characteristics of the Three Gorges highlights its characteristics as a representative symbol of China and promotes the identification, protection, and valuation of its iconic cultural resources. Despite the current situation, where only a few tangible remnants of the Three Gorges heritage exist, the cultural context remains largely intact. Ancient poetry, with its classical Chinese cultural characteristics and unique geographical expression methods, enriches the natural scenery and humanistic imagery of the Three Gorges. This provides a valuable tool for interpreting and understanding the cultural resources of the Three Gorges and enhancing its value interpretation system. The Tang and Song dynasties saw a surge in the number, representativeness, and influence of poetry related to the Three Gorges. This article analyzes 440 Tang and Song poems about the Three Gorges, focusing on its geographic information and cultural landscapes. Using text mining technology, we extracted the most representative cultural landscapes in the area and visualized the types and distribution these cultural landscapes ArcGIS spatial analysis. Additionally, cluster analysis and spatial semantic analysis were conducted on poetry texts using ROST-CM6 to categorize different landscape themes. The cultural connotations and aesthetic characteristics of each theme were then analyzed by combining semantic networks with high-frequency words and characters. Our findings indicate that the Three Gorges cultural landscape during the Tang and Song dynasties was mainly composed of historical sites, temples, ancestral halls, and former residences of renowned figures. The landscape formed a string of beads along the river and primarily centered on Fengjie and Wushan. We identified six landscape themes on the semantic network, including the Xiajiang Grand View, the ancient capital of the White Emperor, the scenic spots of Xiling, and the clouds and rain of Wushan. The Three Gorges segment of the Yangtze River National Cultural Park followed the "One Belt, One Zone, Two Cores" spatial layout concept, with poetry culture as the soul, the poet's location as the pulse, and renowned mountains and scenic spots as the body. Historical scenes were reconstructed through logical and emotional methods, injecting the aesthetics, culture, and emotion of poetry and its historical background into the basic landscape.

The network embedding method can map the network nodes to a low-dimensional vector space and ext-ract the feature information of each node effectively. In the field of service recommendation, some studies show that the introduction of network embedding method can effectively alleviate the problem of data sparsity in the recom-mendation process. However, the existing network embedding methods are mostly aimed at a specific structure of the network, and do not cooperate with a variety of relationship networks from the source. Therefore, this paper proposes a service recommendation method based on multi-network hybrid embedding (MNHER), which maps mul-tiple relational networks to the same vector space from vertical and parallel perspectives. Firstly, the social network of users, the shared network of service tags and the user-service heterogeneous information network are constructed. Then, the hybrid embedding method proposed in this paper is used to obtain the embedding vector of users and services in the same vector space. Finally, the service recommendation is made to target users based on the embed-ding vector of users and services. In this paper, the random walk method is further optimized to extract and retain the characteristic information of the original network more effectively. In order to verify the effectiveness of the method proposed in this paper, it is compared with a variety of representative service recommendation methods on three public datasets, and the F-measure values of the service recommendation methods based on single relational network and simply fused multi-relational network are improved by 21% and 15%, respectively. It is proven that the method of multi-network hybrid embedding can effectively coordinate multi-relationship network and improve the quality of service recommendation.

Objective To investigate the concentration of homocysteine (Hcy) and related factors of hyperhomocysteinemia (hHcy,Hcy⩾15 μmol/L) among non-hypertensive people aged between 40-70 in Tianjin. Methods Non-hypertensive community residents aged 40-70 years were enrolled randomly from May 2011 to December 2012 in six districts in Tianjin. Plasma Hcy was assessed by enzyme cycling method. Factors related to hHcy were analyzed in multivariate logistic re-gression models. Results Our study included 874 participants (mean age is 57 ± 6 years, 25.5% of all are males) and the concentration of Hcy was 12.0 μmol/L. The OR (odds ratio) (95% CI; P)for hHcy were 1.048(.015,1.083; P=0.004), 4.191 (2.359,7.448; P<0.001), 1.280(0.896,1.829; P=0.175), 0.460(0.259,0.816; P=0.008)respectively for age, male, smoking, exercise, and the odd ratio for hHcy were 0.290(0.179, 0.469; P < 0.001), 0.168(0.092,0.309; P < 0.001)for consumption of vegetable and fruits 250-500 g/d and >500g/d, compared with <250 g/d. Conclusion Male and age were adverse factors for hHcy, consumption of vegetable and fruits, and exercise were positive factors. [ABSTRACT FROM AUTHOR]