The ornamental craftsmanship of the doors and windows of Hui-style architecture demonstrates the centuries-old, intangible culture of Huizhou, of which the Huizhou three carvings (brick, stone, and wood carvings) have received increasing attention from researchers in recent years. This study aims to identify the characteristics of the Huizhou three carvings of doors and windows in Hui-style architecture in order to better preserve and develop this ornamental craftsmanship. To achieve this aim, an ethnographic design was used. The study found that the history, process, and location of Huizhou three carvings have obvious regional characteristics. This study can be useful for all stakeholders (scholars, architects, and craftsmen) in Hui-style architecture.

The World Health Organization (WHO) recommends that governments promote and implement front-of-package (FoP) nutrition labels to prevent noncommunicable diseases. Recently, additional research has focused on various views on FoP label creation. However, few review studies have examined how different FoP labels affect young consumer behavior. Therefore, this study thoroughly analyzed the evidence on how FoP labels in five categories affect young consumer purchasing intention and behavior. We searched for keywords in the Web of Science, Scopus, and EBSCO databases and screened study samples according to inclusion and exclusion criteria. Fourteen studies that matched the criteria were included in this review. We discovered that numerous studies support the efficacy of the “graded indicators” category labels, with the “color-coded” and “positive logos” categories trailing closely behind. The effectiveness of the “warning” FoP label category is mixed on consumers’ healthy purchasing behavior and intention. The numerical FoP labels were most commonly used to indicate ineffectiveness. Future studies should investigate the effects of FoP labels on various subpopulations and conduct thorough evaluations of the design elements of FoP labels. Also, they should offer evidence-based recommendations, supported by both quantitative and qualitative data, for regions that have not yet implemented FoP labeling systems.

The impact of regional architecture on residents’ identities varies, involving complex emotional aspects. We conducted an in-depth study of the deep connection between regional architecture and identity in China’s Huizhou and Minnan regions, highlighting its key role in stimulating authentic pride. Initially, we carried out a survey among 433 residents from both regions using questionnaires to obtain quantitative data, revealing the mediating role of authentic pride. Subsequently, we conducted in-depth interviews with 20 residents from 4 villages of the 2 regions, and the coding results explained the multidimensional reasons behind the quantitative analysis outcomes. This research not only deepened the understanding of how regional architecture impacts identity recognition but also highlighted the urgency of preserving regional culture under the pressures of globalization and modernization. Moreover, this study provided strong reasons for the preservation of architectural heritage, emphasizing its importance as a cornerstone of identity and a means to enhance community cohesion.

Despite the growing integration of artificial intelligence (AI) into human society, a significant gap remains in understanding how AI can use its database-driven imagination to enhance urban planning and aesthetics effectively. This study explores ChatGPT-4o’s potential in generating future urban designs by incorporating human evaluations. Using a mixed-methods design, the study identified key indicators for evaluating AI-generated urban design images and then applied Importance-Performance Analysis (IPA) to measure participants’ evaluations of these indicators. Results showed that creativity was the most critical indicator needing improvement, while technological sense received high performance. Surprisingly, indicators like traffic rationality, environmental greening, public space utilization and cultural representation were deemed less important. These findings suggest that participants prefer AI to focus more on bold, imaginative aspects. This study constructs a framework for evaluating AI-generated urban design images and offers valuable insights for improving AI applications in urban planning and image generation.