Under the background of “dual carbon”, it is of great significance to comprehensively clarify the dynamic decoupling relationship between tourism carbon emissions and tourism economic development for the formulation of scientific tourism carbon emission reduction policies. The “bottom-up” tourism carbon emission measurement method was used to measure the tourism carbon emissions in Yunnan Province from 2010 to 2022, and on this basis, the Tapio decoupling model of tourism economy and tourism carbon emissions was constructed, and the decoupling relationship was analyzed. The results show that from 2010 to 2019, tourism revenue and tourism carbon emissions in Yunnan Province showed an upward trend, and in 2020, they decreased significantly, and from 2021 to 2022, Yunnan Province’s tourism revenue showed an upward trend, but the overall carbon emissions of tourism showed a downward trend, reflecting the low-carbon development of tourism in Yunnan Province. The contribution rate of tourism transportation carbon emissions to tourism carbon emissions in Yunnan Province is the largest, with an average proportion of 78% during the study period, and reducing tourism transportation carbon emissions is the key to low-carbon emission reduction of tourism in Yunnan Province. During the study period, the carbon emissions of tourism in Yunnan Province were mainly weakly decoupled, with high-quality strong decoupling in 2006 and 2022, and only in 2020, which generally reflected that Yunnan Province has achieved certain results in promoting energy conservation, emission reduction and low-carbon development of tourism.

In previous studies, incomplete extraction of logging curve features and simpler model construction resulted in limited porosity prediction accuracy. In order to improve the prediction accuracy,the self-encoder, long and short-term memory network and the Attention mechanism were combined to construct the AE-LSTM-AT (auto-encoder-long short-term memory network-attention mechanism)model. the AE (self-encoder) unifies the feature distributions of the source domain data and the target domain data into the same space, in order to reduce the interference of the magnitude changes on the model due to the differences in data distribution, the modified LSTM(long short-term memory network) reduces the number of parameters while enhances the feature impact of distant time steps and reduces information pollution, and the introduction of the Attention mechanism dynamically calculates the attention weight of each time step, thus focusing on the key features more accurately and improving the performance and performance of the model in processing sequence data. a control group including MLP(multilayer perceptron machine) and LSTM was set up, and four sets of comparison experiments were conducted. It is proved that the model structure of has superior results in the problems of long-term prediction and cross-domain prediction.

The implementation of the new urbanisation strategy promotes the construction of resilient cities, which is an important force to promote the sustainable development of the region. Based on the five dimensions of population development, economic development, social development, ecological development, and the development of residents’ life, an evaluation index system for the level of new urbanisation was constructed, and the time and space of the development level of new urbanisation of the Pearl River Delta were analyzed as an example. The time and space evolution characteristics of its new urbanisation development level were analyzed. The results showed that the development level of new urbanisation in the Pearl River Delta shows an upward trend from 2013 to 2022, but the development is unbalanced among cities. In time, the comprehensive score of new urbanisation in the Pearl River Delta rose year by year from 2013 to 2022, with the average annual score increasing from 0.354 to 0.498, and the growth rate of the development level fluctuating greatly. Spatially, the spatial changes in the level of new urbanisation in the Pearl River Delta in 2013, 2018 and 2022 are small, with large regional differences, showing a spatial pattern of slowing down from the central to the eastern and western regions.

In the era of digital economy, smartphones have become an indispensable tool for modern people.However, the silver-haired people often face the problem of “difficult to use” when using smartphones and other intelligent products. In order to study the impact of smartphone use on the subjective well-being of the elderly, a questionnaire survey and field visits were conducted among the elderly in some areas of Hunan Province, and the happiness-related statements in the survey data were extracted, and descriptive statistical analysis, correlation analysis and regression analysis were used to determine the factors that affect the subjective well-being of the elderly as well as the well-being score index. The results show that the use of smartphones has a positive impact on the subjective well-being of the elderly, which not only improves the quality of life of the elderly and promotes their enjoyment of the technological dividends of the times, but also facilitates the work of active aging and the comprehensive development of society.

The development of new quality productivity is the internal requirements and important focus of promoting high-quality economic and social development. Private enterprise plays an important role in the development of new quality productive forces. private enterprise has strong innovation vitality, which can provide impetus for the innovative allocation of production factors and the revolutionary breakthrough of technology. At the same time, the development of new quality productivity of the private enterprise is also facing the problems of limited access to factors, high cost of factors, and the weakening of development expectations, which affects the role and advantages of the private enterprise. To this end, it is necessary to continue to increase policy efforts to support the private enterprise, and build a bridge of mutual trust between government and enterprises, a bridge of mutual promotion of social enterprises and a bridge of mutual integration of the production chain.

Promoting the coordinated development of high economic quality and ecological protection in the Yellow River Basin of Shandong Province is conducive to realizing the goal of “double carbon” in the region. Based on the panel data of the Yellow River Basin urban agglomeration in Shandong Province from 2015 to 2022, a coupling coordination degree model of economic high quality and ecological protection was constructed and an empirical analysis was conducted to explore the coordinated development relationship between the two. The results show that the development level of high economic quality and ecological protection in the Yellow River Basin of Shandong Province is on the rise. The regional coupling coordination level showed a trend of “moderate coordination-high coordination”, the distribution of each urban area was uneven, and the coupling coordination type showed a trend of “low imbalance-moderate coordination-high coordination”. In the analysis of driving factors, the full-time equivalent of R&D personnel, the number of authorized applications for three kinds of domestic patents, and the application amount of agricultural fertilizer have significant hindrance.

In order to effect on problems of troubles and safety of drinking water since water drilling project working in the rural of bed red hills, taking a type of Dazu Zone of Chongqing as example, the methods of field interviews and actual investigations and peasant household international field,and and water balance equation and theory of groundwater resources sustainable managements were used to assess the effect of water drilling project working in the rural of bed red hills on the troubles and safety problems of drinking water.The results show that most of pump wells aquifers in water supply have been decreasing from 2007 to 2016 with ages,some of pump wells aquifers in water quality have been deterioration, which is caused by environment deterioration and losing of management of well maintenance,but for Fe/Mn higher quality of pump wells shorted measures related to water treatment; shallow wells aquifers in water supply affected by the intensity of demand water exploration;this model of project needed urgently regulate and manage policies to sustain.Although the project has well bigger influences of problems of troubles and safety of drinking water in the rural of bed red hills,the sustainability of the project is affected by more factors.The findings have important theoretical and practical significance to against rebounding of difficulty in drinking water.

The delay diffusion phenomenon caused by large-scale flight delays has a significant impact on air traffic networks. In order to better predict and control delay diffusion, a delay diffusion prediction model combining convolutional neural network (CNN) and traditional epidemiological SEIR(susceptible-exposed-infectious-recovered) model is proposed for the nonlinear and complex characteristics of flight delay diffusion, as well as for the difficulty of combining real-time and accuracy. Based on the flight delay diffusion propagation mechanism and SEIR model, a flight delay diffusion dynamics model was established, and the key parameters in the model are optimized by convolutional neural network. The optimized model was simulated using MATLAB, and the accuracy was improved by 17.95% compared with the traditional SEIR model after combining the CNN model.

Returning home for entrepreneurship is one of the important measures to promote common prosperity. The rise of rural digital trade has accumulated rich previous experience, economic resources, and entrepreneurial opportunities for returning home for entrepreneurship activities, which can effectively drive the successful development of returning home for entrepreneurship, promote the spontaneous growth of rural economy, and inject more innovative vitality into rural economy. Digital trade can achieve common prosperity between urban and rural areas in terms of channels, resources, and markets by connecting urban and rural entrepreneurship channels, integrating urban and rural entrepreneurship resources, and opening up urban and rural entrepreneurship markets. Thereby, narrowing the wealth gap between small towns and rural areas. It is suggested to strengthen the role of digital trade in promoting entrepreneurship activities in rural areas by improving relevant legal regulations, promoting vocational training for rural returnees, and encouraging cross departmental cooperation among returnees, in order to better achieve common prosperity.

Grounded theory was used to analyze the influencing factors of Chinese medicine enterprises applying for FDA(Food and Drug Administration) certification in the United States, and a theoretical model was constructed to provide reference for Chinese medicine enterprises to make scientific strategic decisions. Interview data from strategic decision-makers of companies that have applied for and have not applied for US FDA certification was collected on CNKI, and then root code. After open coding, spindle coding, selection coding, and comparative verification, 28 open coding, 9 categories, and 5 main categories were finally sorted out, and a theoretical model was constructed based on the analysis of the logical relationship between each category. The strategic decision of traditional Chinese medicine enterprises to apply for FDA certification is based on a consistent understanding of FDA standards and the modernization and internationalization of traditional Chinese medicine. It not only aims to enter the European and American markets as a drug, but also promotes enterprise upgrading, enhances the modernization level of the traditional Chinese medicine industry, and achieves sustainable development during the application process.