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[Purpose/Significance] Scientific data preservation is the premise of scientific data sharing and utilization, also is the basis of high-quality and efficient service of scientific data. [Method/Process] On the basis of investigating the progress of theoretical research and practice at home and abroad, this paper selects a number of indicators according to the factors that affect the preservation of scientific data, and then improves the index system by the method of expert investigation. \"Scientific data evaluation index system for scientific data preservation\" is constructed. The index system includes eight first-level indicators, such as \"legal factors\", \"reuse value\", and \"data reliability\". There are 32 secondary indicators, such as \"legal requirements\", \"special academic value\", and \"data accuracy\". Finally, the analytic hierarchy process is used to calculate the index weight. [Results/Conclusions] This paper puts forward three suggestions for scientific data management in China, such as actively promoting the legislation of scientific data management, improving the level of scientific research, standardizing academic ethics and improving the quality of scientific data, developing data storage and security technology, and promoting scientific data sharing and long-term preservation.

With the development of cities, urban rail transit has entered into a stage of rapid construction and development, but the environmental pollution caused by rail transit construction cannot be ignored. To evaluate the environmental pollution of urban rail transit construction, an evaluation system for the environmental pollution induced by urban rail transit construction was established by using the literature survey method and the entropy weight method. The evaluation index system involved three first-level indicators of the physical environment, natural environment and social environment, and 11 second-level indicators. The impact of XA-XDM project construction on urban environmental pollution in Wuhan, China was evaluated by using the evaluation system. Results show that the evaluation score of XA-XDM project is 76.5, which means that the XA-XDM project construction has a strong impact on environmental pollution. It should be paid to the prevention, control and monitoring of various pollution indicators, reducing environmental pollution, and realizing green construction.

Geological environment is a resource base, environmental base, and engineering base for human socioeconomic activities. The main function of the geological environment is to provide stable and safe living space and essential resources for the existence and development of human society. However, geological environmental problems become increasingly prominent in some provinces in China due to fragility of the geological environment, uneven population distribution, backward economic development, and massive construction projects. The function of geological environments in some provinces to support sustainable economic and social development is evidently insufficient, and the threshold values of their geological environmental bearing capacity nearly reach the upper limit. For example, Henan Province, China, an evaluation index system for geological environmental bearing capacity, was established from three aspects, as follows: natural hazard, geological disaster, and disaster control. The weights of evaluation indexes were calculated using the variation coefficient method. Finally, the geological environmental bearing capacity of Henan Province during 2010-2018 was measured through the comprehensive evaluation method. Results showed that the constructed evaluation index system for geological environmental bearing capacity, which consisted of 34 indexes, was scientific and reasonable. During 2010-2018, the geological environmental bearing capacity of Henan Province was superior or excellent. Geological environmental bearing capacity can be improved by reinforcing the construction of legal rules and laws for geological environmental protection, carrying out research work regarding geological environmental bearing capacity, launching geological environmental monitoring and early warning system construction, and implementing feasibility demonstration for the geological environment of major construction projects. The study results can provide practical guidance and reference to realize the predictive analysis of geological environmental bearing capacity and coordinate human socioeconomic activities and geological environment.

The implementation of the \"second child policy\" and the influx of large numbers of people have led to an increase in the population of Zhejiang Province in China, placing pressure on the environment, health care, and education. In this context, this study intends to use the possibility-satisfaction (P-S) model to predict the population carrying capacity of Zhejiang Province from 2020 to 2025. This prediction system comprises economic, social, resource, and environmental systems. The following conclusions are drawn: the maximum population carrying capacity of Zhejiang in 2025 is 62 million. According to the current population development trend, the population of Zhejiang Province in 2025 will still be within the carrying capacity range. The population carrying capacity of the social system is the weakest.

In this work we study strong spectral properties of Ruelle transfer operators related to a large family of Gibbs measures for contact Anosov flows. The ultimate aim is to establish exponential decay of correlations for Hölder observables with respect to a very general class of Gibbs measures. The approach invented in 1997 by Dolgopyat in “On decay of correlations in Anosov flows” and further developed in Stoyanov (2011) is substantially refined here, allowing to deal with much more general situations than before, although we still restrict ourselves to the uniformly hyperbolic case. A rather general procedure is established which produces the desired estimates whenever the Gibbs measure admits a Pesin set with exponentially small tails, that is a Pesin set whose preimages along the flow have measures decaying exponentially fast. We call such Gibbs measures regular. Recent results in Gouëzel and Stoyanov (2019) prove existence of such Pesin sets for hyperbolic diffeomorphisms and flows for a large variety of Gibbs measures determined by Hölder continuous potentials. The strong spectral estimates for Ruelle operators and well-established techniques lead to exponential decay of correlations for Hölder continuous observables, as well as to some other consequences such as: (a) existence of a non-zero analytic continuation of the Ruelle zeta function with a pole at the entropy in a vertical strip containing the entropy in its interior; (b) a Prime Orbit Theorem with an exponentially small error.

This study explores tourism resilience both theoretically and empirically within the context of a public health crisis. A theoretical framework of tourism resilience, grounded in social-ecological system resilience theory, is developed, alongside a Tourism Resilience Index System to quantify city-level destination-s tourism resilience levels. Using this framework, the tourism resilience levels of 251 cities in China are assessed. Then the article examines the relationship between tourism resilience and tourism recovery of the 251 cities during two specific time windows of the COVID-19 pandemic. Empirical results reveal that the recovery of a destination is significantly bolstered by tourism resilience and its three subdimensions: adaptability, self-organizing ability, and innovation ability. Moreover, of the three subdimensions, the innovation ability plays the most vital role in determining the destination recovery level. Based on these findings, the study provides recommendations for enhancing the resilience of tourism destinations to better cope with future public health crises.

The reduction of the index system at home and abroad mainly starts from the basic statistics and soft computing theory, but these methods are not always effective for complex index system. In this paper, a new multi-level indicators reduction model based on complex index system has been proposed through in-depth analysis of the multi-level environment and growth factors which affecting crop growth. First, exception handling model was introduced to determine indicators abnormalities or not in this method, then make a preliminary reduction in indicators of index layer from the point of multi-level statistical; Second, through clustering reduction model, and a further perfection of the index system is discussed; Finally, the optimal reduction index system of crop growth evaluation is proposed. The experiment results show that it can get the optimal reduction index system of crop growth evaluation by this method, and the optimal index system can cover 90% of the index system.

With the increasing complexity of power system grid structure and development environment, the dimensions and factors that need to be considered in the power grid statu analysis also become complex. It is necessary to judge the aspects of power grid that need to be improved through the analysis results. This paper constructs an evaluation index system of power grid, including safety reliability, operation efficiency, operation margin of power grid, power grid structure and equipment level. Based on the index system, an evaluation model combining matter-element model and entropy weight method is proposed. Matter element model can not only quantitatively judge the development level of power grid, but also find out the weakness of power grid and put forward the direction of its improvement. Finally, a case study is proposed to show that the matter element model analysis in power grid comprehensive evaluation is feasible and has a good evaluation accuracy.

Effective communication is fundamental to health care; however, demographic transitions and a widening global health workforce gap are intensifying the imbalance between service demand and resource supply. Health conversational artificial intelligence (HCAI) based on large language models offers a potential pathway to improve the accessibility and personalization of care. Nevertheless, the lack of a rigorous, user-centered evaluation framework limits the systematic assessment of HCAI quality, raising concerns regarding safety, reliability, and clinical applicability. This study aims to establish a scientific and systematic quality evaluation index system for HCAI, providing both a theoretical foundation and a practical tool for the assessment and optimization of HCAI. Based on a literature review, industry standards, and expert group discussions, a preliminary framework for the index system was established. Two rounds of Delphi expert consultations were then conducted to collect expert opinions. The analytic hierarchy process (AHP) was applied to assign weights to indicators at each level, and the final content and structure of the index system were determined. Both rounds of expert consultation achieved a 100% response rate. The authority coefficient of the experts was 0.84 in both rounds. Kendall W coefficient ranged from 0.14 to 0.20 in the first round and from 0.13 to 0.17 in the second round, with all values showing statistical significance (round one: importance P＜.001, feasibility P＜.001, sensitivity P＜.001; round two: importance P=.001, feasibility P＜.001, sensitivity P=.001). The final HCAI quality evaluation index system consisted of 3 primary indicators, 7 secondary indicators, and 28 tertiary indicators. According to AHP weight calculations, the primary indicators were ranked in descending order as follows: ethics and compliance (0.4781), health consultation capability (0.4112), and user experience (0.1107). The evaluation index system constructed in this study demonstrates scientific validity and practical relevance. It provides a valuable reference for the quality assessment, model optimization, and regulatory oversight of HCAI systems.