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Based on a Western perspective, this study utilized big data technology and web crawlers to obtain relevant ethnic and cultural information resources in Japan. Subsequently, these resources were sorted out, including the standardization and classification of content, to form a cultural resource base with national characteristics. At the same time, a BP neural network was used to evaluate the relevant factors. Finally, the accuracy and reliability of the model were verified by collecting relevant data and applying multiple linear regression methods. Among the positive probabilities, personal thoughts and social atmosphere were 0.8 and 0.66, respectively, which influenced the formation and orientation of the Japanese national cognitive structure to a certain extent. Traditional customs and religious beliefs are the factors that contribute the most to ethnicity cognition, with weights of 0.5474 and 0.4689, respectively. In the significance analysis, the p-values of dietary culture, dress culture and geographic environment are greater than 0.05, which indicates that these factors do not have a significant positive influence on ethnicity cognition.

Background: Previous studies evaluating the association between prediabetes the prognosis of patients with acute myocardial infarction (AMI) showed inconsistent results. The aim of the meta-analysis was to compare the long-term incidence of major adverse cardiovascular events (MACEs) between AMI patients with prediabetes and normoglycemia. Methods: Relevant prospective cohort studies were obtained by searching Medline, Web of Science, and Embase databases. Only studies with follow-up duration of at least one year were included. A random-effects model was utilized to pool the results by incorporating the influence of heterogeneity. Results: Twelve studies with 6972 patients with AMI were included. Among them, 2998 were with prediabetes and 3974 were with normoglycemia. During a mean follow-up of 52.6 months, 2100 patients developed MACEs. Compared to those with normoglycemia, AMI patients with prediabetes were associated with a higher incidence of MACEs (risk ratio [RR]: 1.30, 95% confidence interval: 1.07 to 1.58, p = 0.008; I2 = 67%). Subgroup analysis showed a stronger association between prediabetes and MACEs in studies of patients with mean age ≥ 60 years compared to < 60 years (RR: 1.66 versus 1.10, p for subgroup difference = 0.04), with proportion of men < 75% compared to ≥ 75% (RR: 1.87 versus 1.08, p for subgroup difference = 0.01), and in prediabetes evaluated at or after discharge compared to that evaluated within three days of AMI onset (RR: 1.39 versus 0.78, p for subgroup difference = 0.01). Conclusions: Prediabetes may be associated with a higher risk of MACEs in patients with AMI. [ABSTRACT FROM AUTHOR]