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A smart city is regarded as a new form of urban development proposed by humans to cope with urban problems. Smart cities are of great interest to theoretical circles and are favored by city governments. However, in China, research on common problems and solution strategies in the process of smart city construction is still insufficient. To address this insufficiency, we utilized Python language and the Selenium library to realize a web crawler and construct a smart city corpus background library. Then, the word2vec model was used for word vectorization to divide policy texts into phrases, and 132 policies from 85 cities above the prefecture level in China were analyzed using the Gaussian mixture model (GMM). The results showed many problems in the smart city construction process in China, including the homogenization of content, the wide topic coverage, the influence of higher-level governments, the mismatch with the local situation, and the neglect of relationship governance. Moreover, an efficiency-governance model was designed, and it held certain theoretical and practical guiding significance for further promoting the healthy and sustainable development of smart city construction in China. [ABSTRACT FROM AUTHOR]

Several studies have reported an association between -148 C/T polymorphism of Axis inhibition protein 2 (Axin2) and cancer risk; however, the results are inconsistent. In this study, a meta-analysis was performed to assess the association between -148 C/T polymorphism of Axin2 and susceptibility to cancer. Published case-control and cohort-based studies from PubMed, Embase, Wanfang, and CNKI were retrieved, and data were manually extracted. The odds ratios (ORs) and 95% confidence intervals (CIs) of the included studies were pooled. Begg's and Egger's tests were used to evaluate publication bias. Cumulative and recursive cumulative meta-analyses (CMA) were performed as evidence accumulated to investigate the trends and stability of the effect size. Nine articles with 1,664 cases and 1,796 controls were included. The pooled effect size showed an association between -148 C/T polymorphism and the risk of cancer (dominant model, OR: 0.72, 95% CI: 0.63-0.83; allele model, OR: 0.81, 95% CI: 0.73-0.90). CMA showed an association trend, and the recursive CMA indicated that more evidence is needed to make conclusions about significance. In a subgroup analysis, a significant association between -148 C/T polymorphism and low cancer susceptibility was detected for lung cancer (dominant model, 0.69, 95% CI: 0.56-0.85; recessive model, OR: 0.75, 95% CI: 0.56-0.99; allele model, 0.76, 95% CI: 0.66-0.86). The -148 C/T polymorphism was also associated with low cancer susceptibility among Asians (dominant model, OR: 0.68, 95% CI: 0.57-0.81; recessive model, OR: 0.75, 95% CI: 0.56-0.99; allele model, OR: 0.76, 95% CI: 0.66-0.86). The Axin2 -148 C/T polymorphism was found to be significantly associated with a decreased risk of cancer, particularly lung cancer, in Asians and population-based controls. Thus, Axin2 should be considered as a potential therapeutic target for preventing tumor growth.