Based on the data of tourism transportation, tourism accommodation and tourism activities, the carbon emissions of Xi’an's tourism industry from 2010 to 2021 was calculated using the “bottom-up” method. A decoupling model was constructed using the Tapio decoupling index, and the decoupling effect between carbon emissions and tourism economic growth was explored. The results show that the carbon emissions from tourism transportation are the main contributor of the carbon emissions of the tourism industry in Xi’an. The overall carbon emissions of Xi’an's tourism industry showes a downward trend, while there is still considerable room for improvement. The relationship between tourism carbon emissions and economic growth in Xi’an predominantly demonstrates a state of decoupling, indicating significant potential for further carbon reduction.

The overall victory in the battle against poverty indicates that China has comprehensively solved the problem of poverty, but some residents still have the risk of returning to poverty. In order to avoid this phenomenon as much as possible, the Party Central Committee clearly proposed to actively establish a monitoring mechanism to prevent returning to poverty. It constructs the rural poverty return monitoring index system and EGM-Markov poverty return risk early warning model, forecasts the development trend and divides the early warning level, and takes YS County of Heilongjiang Province as a case to verify the feasibility of the model. In addition to establishing a long-term assistance mechanism, stimulating the endogenous motivation of the poor is very important to avoid returning to poverty.

With the development of engineering in cold regions, it is important to accurately derive the thermoplastic parameters of soils under freeze-thaw conditions. In view of the large error of the commonly used BP neural network to predict the thermal property parameters, 120 sets of thermal property parameters of frozen and thawed soil were used as samples, and the prediction model was improved by Bayesian regularization method to establish a multi-input and multi-output BP neural network, and the prediction accuracy of the model was significantly improved. Sensitivity analyses of the Bayesian neural network and random forest model were carried out with the improved Monte Carlo method and SHAP interpretation, respectively. The results show that the freeze-thaw condition does not change the sensitivity ranking of the influencing factors. The sensitivity of volumetric heat capacity and thermal conductivity to water content, dry density, and soil quality decreases in the order of freezing and thawing state, and the sensitivity of thermal conductivity to soil quality, water content and dry density decreases in the order of soil quality, water content and dry density.

Since the reform and opening-up policy was implemented in 1978, China has loosed its household registration policy and rapidly advanced the construction of urbanization. The pattern of population migration has shifted from planned migration to autonomous migration. The Jiangsu-Zhejiang-Shanghai region has experienced a significant increase in the scale of the in-migration population, thence it is highly meaningful to research its driving mechanisms. Based on the in-migration data in the sixth population census, a multivariate linear regression model was constructed by the independent variables, such as the resident population, per capita GDP, per capita employment wage, per capita medical beds, population with a college degree or above and distance. Furthermore, the hierarchical Bayesian theory was introduced to reduce the indeterminacy of parameter estimation. The results show that economic factors serve as the primary driving force. Population factors, the education factor and distance factor also play important roles, while the medical factor has a relatively weak effect.

The Huailiangzi landslide has experienced significant deformation under continuous heavy rainfall, posing a serious threat to the safety of residents’ lives and property. Based on detailed geological surveys, a landslide numerical model was constructed using the finite difference method and a coupled seepage-stress analysis approach was employed to investigate the stability of the landslide, as well as the evolution characteristics of the seepage field and displacement field under different rainfall scenarios. The results show that the Huailiangzi landslide is generally stable under natural conditions. However, under the influence of external adverse factors such as heavy rainfall, the stability of the slope significantly decreases. In particular, under continuous rainfall, the increase in pore water pressure is substantial, significantly increasing the likelihood of overall landslide movement. The findings provide important theoretical support for early warning systems and mitigation engineering of similar landslides.

Public data ownership confirmation policies, as an administrative regulatory tool, play a significant role in promoting the further openness and utilization of public data. 11 policy texts related to public data ownership confirmation issued by the three northeastern provinces of China was evaluated. A policy evaluation index system was constructed, and the PMC index model was applied for quantitative assessment. The results indicate that the overall policy level is close to satisfactory. However, issues such as low attention to policy content and feedback mechanisms, insufficient flexibility in policy design, and a relatively narrow policy perspective persist. Based on these findings, optimization pathways are proposed, including benchmarking to address internal shortcomings, enhancing short-term policy adjustments, broadening stakeholder participation, and expanding the horizons of policy formulation.

To study the mechanism of the effect of higher education on economic growth, Based on the panel data of 30 provinces in China (due to the lack of data, the statistical data mentioned here do not include the Tibet Autonomous Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province) from 2010 to 2021 was used. This role of technological innovation in the impact mechanism of higher education was firstly explored by using the mediation effect, and then the relationship between higher education and economic growth was empirically analyzed by using the spatial error model. The results show that in the mediation effect test, all variables passed the significance test. From a spatial perspective, there are regional differences in the role of technological innovation in economic growth. Therefore, the mediating effect of technological innovation is the pathway through which higher education plays a role in economic growth.

With the increasingly widespread application of artificial intelligence (AI) technologies, more and more people are concerned about whether machine intelligence will replace traditional human labor. However, while there are concerns, the relationship between AI and traditional labor is not entirely mutually exclusive. They can cooperate under certain conditions. The BP neural network was applied to conduct a comprehensive evaluation of ChatGPT performance satisfaction, analyze the public's satisfaction with ChatGPT's performance, and provide references and suggestions for the future co-development of ChatGPT with humans. A satisfaction survey was conducted among 11 high-tech industrial parks and university students in Hangzhou, exploring the public's satisfaction with ChatGPT's generated language quality, knowledge accuracy, context understanding ability, model response speed, controllability and interpretability. In the prediction of public satisfaction, the BP neural network performs well in four indicators, such as accuracy, recall, harmonic mean and F1-score during model testing. The result shows that ChatGPT's context understanding ability, controllability and interpretability are important influencing factors of ChatGPT performance satisfaction. In the future, ChatGPT should further strengthen training and optimization in these three aspects.

Taking the backfilling station for the Chifeng NFC Baiyinnuoer Mining Co. Ltd. as an example to resolve the problems of uneven bottom flow concentration and slow settling speed of tailings particles during the coagulation and settling process of total tailings, various candidate anionic polyacrylamide flocculants were subjected to tailings static coagulation and settling tests to select the most suitable flocculant type. Finally, the coagulation effect was verified through industrial experiments, and the addition parameters were optimized. The results show that the optimal flocculant type for settling the total tailings of the mine is SNF1055SH. When the concentration of the total tailings slurry is 14%, the flocculant solution concentration is 2.5‰, and the flocculant dosage is 30 g/t, it can ensure that the bottom flow mud layer of the deep cone thickener is uniform and the top overflow water is clear.

Based on the data of A-share listed companies from 2013 to 2022, the multi-period DID method and the central ecological environment protection inspection were used as a natural experiment to analyze the impact mechanism of the “combination of coercion and public participation” type of environmental accountability on the financialization of enterprises. The study finds that environmental accountability significantly inhibits the financialization of heavily polluting firms. Its path of action is realized through improving the quality of environmental information disclosure. Corporate technological innovation positively strengthens the inhibitory effect of accountability on financialization but does not modulate the mediating effect of information disclosure. The heterogeneity analysis shows that the inhibitory effect of environmental accountability is more significant under the high level of marketization and the strong linkage between the government and the enterprises.