This study investigates the elements that influence the quality of cultural and tourism services in the Huizhou region, seeking to improve the region’s tourism competitiveness and revive the growth of the local rural tourism industry based on the background of cultural and tourism integration. This article builds an evaluation index system for the influencing variables of culture and tourism service quality by choosing 20 indicators from three categories: public service quality, cultural service quality, and tourism industry performance. The entropy weight Topsis method is employed to assess the service quality of three districts and five counties in the Huizhou area, which serves as the research object. Research has shown that (1) the number of five-star hotels, the number of A-level scenic spots, and the number of overseas tourists received have a significant weight, and these have become important factors affecting the effective supply of high-quality rural tourism; (2) there is a significant difference in the quality of cultural and tourism services in different areas across the Huizhou region, with Tunxi District and Yi County having the highest level of service quality, while Qimen County and Jixi County have the lowest level; (3) The overall quality of cultural and tourism services in Huizhou region is relatively high, with six districts and counties rated medium or above, accounting for about 75% of the total. Therefore, it is necessary to improve the infrastructure construction, improve the quality of public services, maintain the local and regional culture, accelerate the integration of culture and tourism, and enhance the high-quality development of regional tourism in Huizhou.

The tourism market for traditional villages in China is expanding, with the Huizhou region being particularly prominent. Traditional villages offer rich tourism resources. To ensure sustainable tourism development in the Huizhou region, this text explores the issues of tourism responsiveness and the sustainability impacts on the human environment in the development of traditional villages. The entropy weight-TOPSIS method is used to analyze the evaluation index system of the tourism response in Huizhou. Based on the three criteria of village resource endowment conditions, local economic development environment, and regional tourism development environment, a set of twenty indicators has been selected to establish an evaluation system for the tourism responsiveness of traditional villages in Huizhou. Feasible suggestions have been proposed to address the existing problems and the results of the data analysis in order to further improve tourism responsiveness. This study offers fundamental research for the sustainable development of traditional villages in Huizhou and the enhancement of tourism services in these areas. The results of this study show the following. (1) The highest weighting coefficient of the guideline layer of the garden green area affects the development of village tourism. (2) The high density of cultural heritage in traditional villages is conducive to the improvement of the service level and quality of the traditional village tourism, which will make the traditional villages more culturally connotative. (3) By studying the proportion of the tertiary industry in the GDP of the Huizhou region and its trend of change, it is possible to assess and study whether the tertiary industry’s development is in line with the law of industrial structure evolution. This also helps us to optimize and adjust the important impact of the tourism industry structure in the Huizhou area. (4) The tourism reception can be based on the data concerning passenger flow and scenic spots to plan the number of tourists and excursion routes, as well as optimize the service facilities, in order to alleviate the overcrowding situation, improve the experience of the tourists and satisfy the needs of the tourists.

The difficulties of offline education caused by the COVID-19 epidemic are attracting increasing public attention. Although international research on online education platforms is gradually deepening, the research on the influencing factors of Chinese users’ participation in these platforms shows different results due to regional differences. Therefore, this study adopts the technology acceptance model (TAM) as the basis to build the index system of influencing factors for the Tencent conference online education platform. The questionnaire design covered five dimensions, including external environment, platform satisfaction, and continuous use intention. An online questionnaire survey was conducted on participants in some regions of China, 320 questionnaires were distributed, and 297 valid questionnaires were collected. The data were analyzed by SPSS 26.0, and the results of Cronbach’s coefficient of 0.939 and a KMO value of 0.941 were obtained. The weight value, entropy value, and importance ranking of the factors were determined by combining hierarchical analysis and the entropy weighting method. First, the perceived ease of use is the most critical factor influencing the users’ use of online delivery platforms. Second, freedom from geographical time difference, the ease of operation, system perfection, and proficiency in use greatly influenced the participants’ use of the online lecture platform. Third, the study group suggested that the platform should be optimized in terms of convenience, stability, and freedom from geographical time difference, and provide reasonable references and lessons for future educational efforts.

With the growing demand for community-based eldercare services, bathing safety, caregiving assistance, and facility compatibility in bathing-support spaces have become important issues in age-friendly product design. However, in the design of bathing chairs for community eldercare settings, the alignment of requirements from multiple user groups with design elements from a symmetry perspective remains insufficiently explored. This study investigated six community eldercare service facilities in Hefei, Anhui Province, and developed an integrated research framework integrating multi-stakeholder needs analysis, weight assessment, design-scheme development, and performance validation. User needs were collected through semi-structured interviews, field observations, and questionnaire surveys, and were consolidated into 24 need dimensions using the affinity diagram method. Core needs were then screened using the FKANO model. An evaluation index system comprising six criterion-level dimensions and 19 indicator-level criteria was then established. Integrated weights were calculated using the precedence chart method and the CRITIC method, and the QFD House of Quality was then used to translate the key needs into design elements. The results indicate that bathing-chair design for community-based assisted-bathing settings should prioritize stable support, sit-to-stand assistance, compact storage, lateral access for caregivers, and lockable rotation. Three alternative design schemes were developed based on these results. The TOPSIS evaluation showed that Scheme C achieved the highest relative closeness coefficient of 0.608 and was therefore selected as the preferred alternative. JACK digital human simulation was then used to evaluate its human–product fit and assess the ergonomic suitability of the design. This study provides an integrated design decision-making framework for translating multi-stakeholder needs into specific design elements, thereby offering a systematic methodological basis for bathing-chair design in community eldercare spaces.

Stimulating public interest in scientific content is a core challenge in science communication. To explore the combination of features that make scientific illustrations engaging, this study, grounded in situational interest theory, examined 67 Chinese undergraduate students. Using fuzzy set qualitative comparative analysis (fsQCA), it investigated how four features- specificity, personal relevance, understandability, and unexpected information-interact to stimulate situational interest. The analysis reveals three effective configurations that result in high situational interest and three configurations associated with low situational interest. Among these, understandability, unexpected information, and specificity emerge as core causal conditions. Personal relevance proved to be a conditional core concept with a "double-edged sword effect." Notably, the fsQCA analysis further revealed a significant asymmetry in the pathways leading to illustrations being perceived as "interesting" versus "uninteresting," indicating that the absence of low-interest conditions does not necessarily result in high interest. These findings offer valuable theoretical and practical insights for educators and science communicators, aiding in the design of more effective visual materials to enhance learning engagement and motivational outcomes.