A social network analysis of tourism cooperation in the Yangtze River Delta: A supply and demand perspective.

This study explores the spatial structure of regional tourism cooperation networks among 27 cities in the Yangtze River Delta from the perspective of supply and demand. Data from the supply network were collected from official news released by the Chinese government and quotations for tour routes published by travel agencies. Travel notes published on tourists' blog community platforms about their travel experiences were used as source data for the demand network. The degree of cooperation between the cities was analyzed based on the frequency of occurrence and co-occurrence of information on tourist attractions or cities in the Yangtze River Delta region in tourist notes, tourist route quotes, and official news. This study divides 27 cities in the Yangtze River Delta region into three categories: those where supply matches demand (e.g., Shanghai and Nanjing), nine cities where there is a demand lag (e.g., Zhenjiang), and 16 cities where there is a supply lag (e.g., Wuxi). Investigating the differences between the supply and demand networks is helpful to understand the effectiveness of regional tourism cooperation mechanisms and government policies, which is crucial for the sustainability and good governance of regional tourism.

[DEPDC1 is Highly Expressed in Lung Adenocarcinoma and Promotes Tumor Cell Proliferation].

BACKGROUND: Lung cancer is the leading cause of death worldwide, and lung adenocarcinoma is the main subtype of lung cancer. DEP domain-containing 1 (DEPDC1) has been proved to be closely related to the occurrence and development of most tumors, and the overexpression of DEPDC1 in lung adenocarcinoma has been preliminarily confirmed. This study aims to explore the relationship between the expression of DEPDC1 and the clinical prognosis of lung adenocarcinoma, and to preliminarily explore the possibility of DEPDC1 as a potential biomarker and therapeutic target of lung adenocarcinoma. METHODS: The bioinformatics website GEPIA database was used to collect relevant information, and the prognostic was analyzed online. Patient data were collected for statistical analysis, and immunohistochemical staining was performed on the collected samples. Subsequently, lung adenocarcinoma cells were cultured in vitro, and the knockout efficiency was verified by Western blot and reverse transcription-quantitative polymerase chain reaction (RT-qPCR), and cell proliferation experiments were performed. RESULTS: The expression of DEPDC1 in lung adenocarcinoma tissues is significantly higher than that in adjacent normal tissues. The high expression of DEPDC1 is correlated with the tumor size and clinical stage of lung adenocarcinoma and knocking down DEPDC1 inhibits the proliferation of A549 and H1975 cells. CONCLUSIONS: DEPDC1 plays an important role in the progression and evolution of lung adenocarcinoma. And it is expected to become an important therapeutic target and a potential new biomarker for lung adenocarcinoma.