With the deepening of the development process of regional integration in the Yangtze River Delta, integration and high quality have become the key paths of regional development. On the basis of the panel data of 26 cities in the Yangtze River Delta urban agglomeration, from 2008 to 2018, this paper uses a DEA model to calculate the ecological efficiency of each city. On the basis of the visual expression of the population agglomeration degree, with the help of ArcGIS platform, the coupling coordination between the population agglomeration and the ecological efficiency is calculated by using the coupling degree model. The results show the spatiotemporal pattern changes of the coupling coordination degrees of 26 cities in the Yangtze River Delta urban agglomeration between population agglomeration and ecological environment, modeling the impact of urban population growth on the ecological environment. The research provides a scientific basis for determining the goal of urban population development, for coordinating the relationship between populations and the environment in urban development, and for realizing regional sustainable and high-quality development.
This article investigates the constructs of tourists' place attachment to a traditional Chinese urban destination as well as the differences of these constructs across tourists with different cultural backgrounds. Results of a confirmatory factor analysis show that place attachment consists of four major factors: place identity, place dependence, affective attachment, and social bonding. Estimation results also reveal differences in the importance of place attachment constructs between Chinese and Western tourists. In addition, tourists' socio-demographic and travel characteristics are found to be associated with their attachment to places in the urban destination. Based on the empirical results, policy implications are provided.
Coordination between economic development (ED) and ecological environment (EE) is an important challenge for high-quality urban development. Taking the panel data related to the ED and EE of the Yangtze River Delta urban agglomeration (YUA) from 2009 to 2019 as the research objective, the evaluation system of ED and EE was constructed by introducing the coupling coordination degree model and the gray correlation degree model to analyze their development indices, coupling coordination degree and gray correlation degree in two spatial and temporal dimensions. Research results: (1) The ED indexes and EE indexes of the 26 cities in the YUA have obvious differences in different cities, and there is no synergy between the two indices. (2) The coupling coordination degree of the YUA shows a pattern of high in the east and low in the west, high in the center and low in the north and south in space, and an overall increasing trend in time. (3) In terms of gray correlation, the correlation between ED quality dimension and EE level dimension is the highest. According to the conclusion, when both the economy and environment present consistency at a high level, it will help the city’s economy to develop more efficiently and rapidly.
Due to the development of computational power and statistical theories, Genome-wide association studies (GWAS) have constantly been improved to gain higher power with reduced bias. GWAS identify hundreds of susceptibility loci body mass index in various populations such as European-ancestry, or Asian groups. Meta-analysis enables us to incorporate statistical results from various studies to detect more genetics signals in GWAS, as well as discover different signals from cis- or trans-ethnic groups. Here we combined data from three sources of large-scale genetics studies: UK Biobank, GIANT consortium, and a famous Japanese study. Among over two million candidate SNPs, we successfully detected 686 significant SNPs after Bonferroni correction (P < 2.5*10^-8), with most of them being detected previously. The top five SNPs are: “rs1558902” (P value = 2.394*10^-36), “rs1421085” (P value = 4.152*10^-36), “rs2237897” (P value = 2.542*10^-32), “rs2237896” (P value = 3.966*10^-32), “rs7202116” (P value = 2.702*10^-31). Although the total number of variants identified by the meta-analysis is lower than the Japanese population-based association study, meta-analysis successfully identifies several new loci not captured by the single-group association study. We also explored the original summary statistics datasets and conducted analysis to compare the statistical results from different populations separately.
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