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The regional digital economy security risk warning system has been established to strengthen the construction of safety shields for the regional digital economy and promote the sound and steady development of the digital economy. Based on the PEST analysis method, a regional digital economy security risk evaluation index system including four first-level indicators, 13 second-level indicators, and 49 third-level indicators are constructed. The index weight is determined by CRITIC method, the regional digital economy security risk index (DESRI) is established by integrated operation, and the prediction and early warning are realized by EGA(1,1) model. Through the data collection and empirical analysis of Shaanxi Province, it is found that. (1) The DESRI of Shaanxi Province showed an overall rising trend from 2017 to 2020, but the risk level was reduced from dangerous to a general level; (2) In 2021 and 2022, the security risk of the digital economy in Shaanxi Province is generally at the security level, among which the policy risk index and social risk index were at the security level, the economic risk index was in the serious level and the crisis level respectively, and the technical risk index was in the crisis level. The results of the empirical analysis verify the feasibility and effectiveness of PEST·CRITIC-EGN(1,1) Method, which can be used for the assessment and early warning of regional digital economy risks. [ABSTRACT FROM AUTHOR]

The random amplified polymorphic DNA (RAPD) technique was applied to assess genetic diversity and population structure of Brachythecium rivulare Schimp. (Brachytheciaceae) from Foping Nature Reserve (Qinling Mountain, China). Sixty individuals from five populations along an elevational gradient were investigated by RAPD profiles. Of the 61 primers screened, 12 primers amplified clear and reproducible bands. Using these primers, 122 discernible bands were generated with 82 (67.2%) being polymorphic. The results revealed a high level of genetic variation (percentage of polymorphic loci ranged from 53.28% to 63.11%; mean expected heterozygosity per locus ranged from 0.2024 to 0.2431; Shannon diversity index ranged from 0.3011 to 0.3582; genetic identity ranged from 0.8626 to 0.9395, with a mean of 0.9118; genetic distances ranged from 0.0624 to 0.1478, with a mean of 0.1008). Analysis of molecular variance showed that a large proportion of genetic variation (91.20%) resided within populations, whereas only 8.80% resided among populations. The results also show no significant correlation between genetic distance and elevational gradient among these five populations. [ABSTRACT FROM AUTHOR]