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● A target-threshold indicator evaluation system is proposed to measure China’s agriculture transformation.● Evaluation based on a development score showed China is currently at a medium level in the Agriculture Green Development initiative.● There was a trend for increasing development scores for 2010–2020 compared to 1997–2010.● Trade-offs between eco-environmental factors and socioeconomic/food production factors were found to be the major barriers to the transformation.● More effort is needed to address the insufficient and uneven development to provide coordinated improvement.China has initiated a green transformation plan in 2015, which was soon applied to agriculture, known as the agriculture green development (AGD) initiative, with the goals of achieving food security, high resource use efficiency, and an ecofriendly environment. To assess the agricultural transformation from 1997 to 2020, this paper proposes a national-scale indicator system consisting three dimensions (socioeconomic, food production and eco-environmental) and ten sub-dimensions to quantify the AGD score. This study showed that AGD score in China was at a moderate level during 1997–2010, scoring 40 out of 100. During this stage, decreased scores in the sub-dimensions of resource consumption, environmental quality, and environmental cost have offset the improvement in the socioeconomic dimension, resulting in fluctuated scores around 40. In the second stage (2011–2020), China’s AGD score improved but still at moderate level, scoring an average of 46.3, with each dimension increasing by 5.3%–25.0%. These results indicate that China has made progress in the agricultural transformation, transitioning from conceptualization to actions through the implementation of various policies and projects. However, the study emphasizes the need for more effort to address the insufficient and unbalanced development, along with the growing eco-environmental challenges, especially the trade-offs among dimensions.

● Relationships between agricultural green development (AGD) and 10 UN SDGs are presented.● Historical changes and characteristics of AGD in China are analyzed.● Knowledge gaps in AGD indicators in China are identified.While agricultural green development (AGD) is highly recognized and has become a national strategy in China, it is imperative to bridge the knowledge gaps between AGD and the UN Sustainable Development Goals (SDGs), and to evaluate the contribution of AGD to meeting the SDGs. The first aim of this study was to compare the AGD goals and indicators with those of the SDGs so as to identify their relationship. The next aim was to examine the historical evolution of AGD indicators and analyze the gaps between the current status of various indicators and their benchmarks. Limiting factors were identified in China’s transition toward AGD. These findings reveal that the indicators of AGD align with those of the SDGs, but have greater specificity to the context in China and are more quantifiable. There has been a significant increase per capita calorie and protein intakes in China, as well as a notable rise in agricultural output per unit of arable land and rural incomes from 1980 to the 2010s. However, these achievements have been accompanied by a high resource use and environmental pollution, highlighting the need for a more sustainable, environmentally responsible agriculture in China.

Purpose – to investigate the diagnostic morphofunctional capabilities of the cardiopulmonary complex for electrocardiographic evaluation of the health school (HS) classes for phthisiopulmonological male patients MDR XDR MBT effectiveness. Materials and methods. 74 male patients of the Rostov Regional Clinical Center for Phthisiopulmonology took part in the study after signing a voluntary informed consent. The age of the patients ranged from 26 to 67 years. The study was conducted in 2018. 40 patients (the main group) took part in the HS and attended from 1 to 6 classes out of 10. The interval between classes was 7 days. 34 patients did not participate in the work of the HS and made up the control group. The medical effectiveness of HS was assessed by the difference in the angles of the alpha electrical axes of the atria, ventricles and the heart as a whole before classes (on admission to the hospital) and after classes (before discharge). Results and discussion. Significant correlations (p

Abstract The Russia–Ukraine conflict has caused a global food security crisis, impacting sustainable development goals. Predicting the crisis’s impact on food security is crucial for global stability by 2030. From a macro-perspective, this paper constructs a food security evaluation indicator system and a food security composite index (FSCI), and using the autoregressive integrated moving average model to predict the variations in the FSCI for different regions of the world from 2023 to 2030 under scenarios with or without the “Russia–Ukraine conflict.” By quantitatively analyzing the differences in these variations, the potential impact of the conflict on regional food security is assessed. The results conclude that the global food security level progressively improved over the past 20 years. The FSCI in Europe, Latin America and Caribbean increased at a faster pace than the global average, with growth rates of 0.035/(10 years) and 0.034/(10 years), respectively. However, the FSCI in the Sub-Saharan Africa showed a declining trend. By 2030, it is expected that the Russia–Ukraine conflict will have a significant impact on the food security of Europe and Sub-Saharan Africa, with a contribution of 1.49% and 0.29%, respectively. However, the impact of the conflict on food security levels in Asia and Latin America and Caribbean is relatively small. This study introduces a new quantitative method to assess and project the overall influence of the Russia–Ukraine conflict on food security. The findings contribute crucial scientific support for effectively evaluating and monitoring the sustainable development objectives related to global food security.

Purposes The construction of new low-carbon power grids for the whole society has an important role in promoting the development of low-carbon economy, and the establishment of a new power system whole life cycle low-carbon evaluation index system is of great significance to the development of low-carbon power grid. Methods On the basis of the analysis of the whole life cycle of the new power system low carbon grid, three primary indicators of economy, reliability, and low carbon were constructed at first, and then nine secondary indicators were screened on the basis of the primary indicators to evaluate the low carbon grid. A comprehensive evaluation index system with a core evaluation index system of the new power system low carbon grid for the whole life cycle was established, and a detailed explanation of the significance of each indicator in the system was provided. Results By using a large amount of statistical data from the power grid, typical scenarios with different new energy ratios were established and simulated. The obtained evaluation results of low carbon indicators for different scenarios prove the feasibility of the low carbon grid evaluation index system established in this paper.

The seismic design philosophy based on resilience represents the latest development in structural seismic design theory and is currently the most advanced concept in the field of seismic design research. A building site serves as the foundation and environment for structures, and evaluating its seismic resilience is a crucial aspect of designing and assessing buildings’ seismic resilience. To meet the needs of evaluating building seismic resilience, the concept of seismic resilience for building sites is introduced in this paper. This evaluation is approached from three dimensions: seismic action, site seismic capacity, and site recovery capability. An indicator system for evaluating the seismic resilience of building sites is constructed using 23 key indicators that reflect the site’s seismic resilience. A seismic resilience evaluation model for building sites is established based on the TOPSIS model and the entropy method. The feasibility and rationality of the proposed evaluation method are demonstrated through application examples. The research findings in this paper provide a valuable reference for advancing the evaluation of both building seismic resilience and site seismic resilience.

The existing research on security risk often focuses on specific types of crime, overlooking an integrated assessment of security risk by leveraging existing police resources. Thus, we draw on crime geography theories, integrating public security business data, socioeconomic data, and spatial analysis techniques, to identify integrated risk points and areas by examining the distribution of police resources and related factors and their influence on security risk. The findings indicate that security risk areas encompass high-incidence areas of public security issues, locations with concentrations of dangerous individuals and key facilities, and regions with a limited police presence, characterized by dense populations, diverse urban functions, high crime probabilities, and inadequate supervision. While both police resources and security risk are concentrated in urban areas, the latter exhibits a more scattered distribution on the urban periphery, suggesting opportunities to optimize resource allocation by extending police coverage to risk hotspots lacking patrol stations. Notably, Level 1 security risk areas often coincide with areas lacking a police presence, underscoring the need for strategic resource allocation. By comprehensively assessing the impact of police resources and public security data on spatial risk distribution, this study provides valuable insights for public security management and police operations.

Objective To construct an evaluation index system of information literacy for public health personnel, and to provide reference for assessing the level of information literacy of public health personnel. Methods The indicator pool of the indicator system was constructed through the literature research method and combining with the actual work, 19 experts in related fields were invited to conduct two rounds of expert consultation by the Delphi method, so as to determine the final indicators, and the weights of indicators at all levels were determined by the hierarchical analysis method. Results The positive coefficients of the two rounds of expert consultation were greater than 90%, and the expert authority coefficients were 0. 895 and 0. 922. The expert Kendall coordination coefficients were 0. 152 and 0. 121, respectively P < 0. 001, and the differences were all statistically significant. Through two rounds of expert consultation, the evaluation index of information literacy of public health personnel constructed by 4 first 一 level indicators, 15 second 一 level indicator systems and 38 third 一 level indicators of information awareness, information knowledge, information competence and information utilization ethics were finalized. Conclusion The index system has certain reliability and scientificity, and can provide a reference basis for measuring the information literacy level of public health personnel. [ABSTRACT FROM AUTHOR]

The conflict between economic development and environmental degradation has significantly impeded urban development. Currently, the Chinese government is actively promoting the comprehensive transformation of new-type urbanization. This study measured the quality of urbanization and its degree of coupling coordination in 16 cities in Anhui Province from 2010 to 2020, utilizing 32 indicators across six dimensions: economic development (ED), infrastructure (INF), population development (PD), social development (SD), environmental protection (EP) and urban–rural integration (URI). Additionally, a novel method of sequential relationship analysis, oriented towards "interaction–change" was introduced to calculate indicator weights, which take the interactive degree among various indices and dependencies between neighboring cities into account. The results indicate that urban development in Anhui Province is imbalanced due to a low degree of resource matching. However, there is a positive trend in the relationship between urbanization quality and economic development. Furthermore, although the coupling coordination degree of urbanization quality in most cities fluctuates at different scales, it is still necessary to narrow and optimize the gap between subsystems. For one thing, the above achievements may provide reference for breaking through the traditional static weighting method from the theoretical level. For another, it can also provide decision-makers with valuable insights to establish an intercity complementary management system, so as to achieve sustainable development across the entire region. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Engineering Management / Gongcheng Guanli Xuebao is the property of Journal of Engineering Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Teacher Education Research is the property of Teacher Education Research Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Studies on regional low-carbon development are essential for reducing air pollution, protecting human life and health, and environmental sustainability. In this article, after sorting the connotations of low-carbon development, the low-carbon development evaluation indicators system was constructed, and the entropy weighting method and improved analytic hierarchy process were applied to evaluate the low-carbon development level between 2007 and 2021 about Jiangsu Province, China. Also, the system dynamics model was constructed to simulate the low-carbon development process. The research findings show the following: (1) Low-carbon development in Jiangsu Province obtained some achievement; (2) "Coordination force" played the most crucial role in low-carbon development, while "growth force" and "transformation force" performed better; (3) The simulation results showed that the economic development type would be the most beneficial in the long run; the energy conservation type would be steadily developing and improving every year; and the green transformation type had a clear drive for low-carbon development at an early stage and the impact was rapid. The novelty of this paper includes the following: (1) The dimension division of the index system is novel; (2) The measurement method is novel. The weights of indicators are determined by a combination of the entropy weighting method and improved analytic hierarchy process; (3) The low-carbon development pathways of Jiangsu Province are studied by the system dynamics model. Different strategy conditions are innovatively designed, and simulations of the scenarios are carried out. [ABSTRACT FROM AUTHOR]

Copyright of Advances in Earth Science (1001-8166) is the property of Advances in Earth Science Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To scientifically evaluate the risk assessment level of lake reservoir type water source areas and take the Luokeng Reservoir water source area in Dianbai District, Maoming City as an example, based on the systematic literature review method, this paper constructs a risk assessment index system for lake reservoir type water source areas from three aspects: water element, management element, and socio-economic element, covering nine levels: water quality, water quantity, aquatic ecology, management and protection level, emergency level, agriculture, industry, economy, and life, with a total of 27 three-level indicators. And it analyzes and determines the risk threshold of the response index, uses fuzzy mathematics to calculate the fuzzy membership function value of the risk evaluation index, and uses the normalization formula of the mutation evaluation method to calculate the total membership function value of the first level evaluation index and the risk evaluation system step by step. The results indicate that the risk level of water sources is closely related to the investment in water source construction. Since the water source area of Luokeng Reservoir is designated as a drinking water source area in 2018, with the increase in investment in water source construction and the enhancement of protection efforts, the risk of water source areas has gradually decreased. From 2018 to 2022, the overall risk assessment level of the water source area of Luokeng Reservoir was ranked as higher risk, higher risk, medium risk, lower risk, and lower risk; The risk assessment levels of water elements are in order of high risk, low risk, low risk, low risk, and low risk. The level transformation of water elements is closely related to the improvement of the annual water supply guarantee rate, annual precipitation, and vegetation coverage rate of the third level indicators. The risk assessment levels of management elements are sequentially high risk, high risk, high risk, low risk, and medium risk. The risk assessment level transformation of management elements is synchronized with the construction investment of Luokeng Reservoir. The risk assessment levels of socio-economic factors are in order of lower risk, medium risk, medium risk, lower risk, and lower risk. The changes in risk levels of socio-economic factors are closely related to industrial wastewater discharge and economic growth rate. This result is consistent with the objective situation of Luokeng Reservoir and is highly reliable. Although the risk of Luokeng Reservoir is relatively low now, it still needs to increase investment in the future. The management department of the water source area of Luokeng Reservoir should actively cooperate with various relevant departments to accelerate the standardized construction of the protected area, increase the comprehensive renovation of the protected area, improve the monitoring level, management personnel level, and emergency level of the water source area, comprehensively ensure the safety of the water source area, and further reduce the risk level of the water source area. [ABSTRACT FROM AUTHOR]

Copyright of Architectural Journal / Jian Zhu Xue Bao is the property of Architectural Journal Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Stream ecosystem health assessments are crucial for the effective management of aquatic ecosystem service functions and the assessment of anthropogenic and climatic impacts on aquatic ecosystems. However, there is still a lack of comprehensive assessment methods based on complete ecosystem structures. This study improved an ecological health assessment system, which consists of 13 indicators based on ecosystem structure. The assessment system was applied to 30 streams on Changbai Mountain. The results showed that the comprehensive index of stream health (ISH) in Changbai Mountain was relatively high, and the ISH increased with the elevation gradient. The dominant factors controlling the ecosystem health level were water pH, water flow, vegetation coverage, total phosphorus (TP), and vegetation diversity index. All these results indicated that the damage caused by excessive deforestation and farmland occupation in recent years has not been fully reversed and that human disturbance from tourism may be the main reason for the low stream health at lower elevations. Our results suggest that the key to future work is to increase quantitative research on disturbance sensitivity and to develop economically viable restoration measures. [ABSTRACT FROM AUTHOR]

The secure and stable operation of the feed industry supply chain is a necessary prerequisite for ensuring national food security and constructing the pattern of social development. Based on provincial panel data from 2012 to 2021, the article used the entropy method to measure the resilience level of the feed industry supply chain. It also employs a two-way fixed-effects model to analyze the key factors influencing the resilience level of the feed industry supply chain. The results showed that from 2012 to 2021, the resilience level of the Chinese feed industry supply chain showed a slow upward trend. The improvement in the resilience level of the feed industry supply chain in China was mainly attributed to enhanced resistance, adaptability, innovation capability, and the improvement of government strength. At the regional level, the eastern region had the strongest resilience level in the feed industry supply chain among the four major regions, followed by the central region, while the northeastern region was weaker, and the western region was the weakest. The driving factors for the resilience level of the feed industry supply chain vary in each region. In terms of influencing factors, technological innovation capability, financial development level, and openness to the outside world promote the resilience level of the feed industry supply chain. On the other hand, the urbanization rate, fluctuations in the prices of feed production materials, and production prices of feed products had an inhibitory effect. Based on these findings, the article explores practical pathways to enhance the resilience level of the feed industry supply chain, aiming to provide valuable references and insights for improving the resilience level of the feed industry supply chain. [ABSTRACT FROM AUTHOR]

Earthquakes are one of the major natural disaster threats worldwide and directly cause substantial economic losses and many casualties every year. Research on the resource and environmental carrying capacity in earthquake-prone areas is urgently required for regional earthquake relief efforts and post-disaster reconstruction. This study considered Ganzi Tibetan Autonomous Prefecture (Ganzi Prefecture) in Sichuan Province, China, focusing on the impact of the Luding 6.8 Magnitude Earthquake in Ganzi Prefecture in 2022. An evaluation system for the resource and environmental carrying capacity of earthquake-prone areas was established. A total of 23 indicators were selected that cover ecological, social economical, and geological aspects, and the weight of each index was determined by the Analytic Hierarchy Process. The relative ranking of the resource and environmental carrying capacities of each county and city were calculated using the weighted Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Consequently, the post-disaster reconstruction strategy of Ganzi Prefecture was evaluated and analyzed. The results show that the resource and environmental carrying capacities of each administrative area differ regionally. Evidence shows that the resource and environmental carrying capacity in southeastern Ganzi Prefecture is generally higher than in the northwest, owing to the joint influence of the social economy and ecological and geological environment. This study provides carrying capacity assessment data and support methods for earthquake-prone areas. [ABSTRACT FROM AUTHOR]

To improve the safety of on-site operations in hydropower plants, this paper studies a quantitative analysis model based on human factors engineering for the safety classification of on-site operations in hydropower plants to reduce the risk level of on-site operations in hydropower plants. Taking human factors engineering as the starting point, this paper analyzes the influencing factors of on-site operation in hydropower plants, and selects three important factors : human factors, operation environment, and operation site to establish a quantitative analysis index system for the safety classification of on-site operation in hydropower plants. After quantifying the human factors engineering indicators, based on this, a BP neural network-based quantitative analysis model for the safety classification of on-site operation in hydropower plants is constructed. The quantified analysis indicators for the safety classification of on-site operations in hydropower plants as the model input is used after model training and testing, the quantitative analysis level for the safety classification of on-site operations in hydropower plants is output. The experiment shows that the quantitative analysis results of on-site operation safety classification of hydropower plants obtained by this model are highly consistent with the actual situation, and have the feasibility of risk warning. When the number of hidden layer nodes in the BP neural network model is 15, the risk warning effect of the model is the best. The greater the labor load and intensity of personnel, the higher the risk of on-site operations in hydropower plants. Reasonable setting of personnel work intensity and load can improve the safety of on-site operations in hydropower plants. [ABSTRACT FROM AUTHOR]

Refined evaluation of ecosystem service functions in deep valleys in high mountain areas is an important means of precise protection of ecosystems. As the population continues to increase, human needs and demands on ecosystems continue to increase, and deep valleys in high mountain areas with good ecological integrity face the risk of development, it is urgent to balance protection and development and carry out precise protection of ecosystems. Based on the principles of typicality, specificity, feasibility and sustainability, this paper constructs an evaluation system for the ecosystem service function of the alpine deep valley area, consisting of 12 indicators from four aspects: Regulating functions, Provisioning functions, Supporting functions and Cultural functions. The Entropy Weight method was used to assign the weights of the relevant indicators in a hierarchical manner, and to complete the evaluation of the importance of ecosystem service functions and the importance zoning of the southeastern Tibetan Plateau. The results showed that: the importance of the ecosystem service functions of the Southeast Tibetan Plateau gradually decreases from southwest to northeast; the extremely important area is mainly distributed in the forest ecosystems with good originality and integrity in the south, accounting for 2.61% of the total area of the region, which needs to focus on ecological protection; the slightly important area is mainly distributed in the northern high altitude area with low vegetation cover and weak soil and water conservation capacity and grassland ecosystem, accounting for 58.89% of the total area of the region, which can be prioritized for development. The results of the study provide new ideas for precise protection of ecosystems and resolution of conflicts between ecological protection and development, as well as for the planning of functional areas for ecosystem services in deep valleys of high mountains, and also provide scientific references for regional sustainable development.

In the post-epidemic era, public panic has emerged as a highly significant secondary disaster, necessitating an urgent enhancement of emergency management capabilities by governments at all levels. In order to ensure a robust assessment of the government's ability to manage public panic, it is crucial to effectively address the influence of uncertain and ambiguous factors associated with such scenarios. This paper proposes a governmental public panic emergency management capability assessment method based on fuzzy Petri nets. By analyzing the factors influencing public panic across the four evolutionary stages, namely gestation, outbreak, diffusion, and fading, we establish a hierarchical evaluation index system for assessing emergency management capabilities. Additionally, we develop a range of multi-scenario emergency management strategies. To address the challenges posed by uncertainty, randomness, fuzziness, and insufficient statistical data within the assessment index system, we introduce fuzzy Petri nets and fuzzy reasoning rules to evaluate the emergency management capability of the assessment system and derive the optimal emergency management strategy. According to example simulations, the effectiveness and practicality of models and rules constructed using fuzzy Petri nets are demonstrated, highlighting their superiority over traditional assessment methods. This comprehensive approach equips the government with a versatile toolkit for effectively managing public panic emergencies.

It is crucial to scientifically assess China's rural revitalization and grasp its evolution laws. This paper constructs an indicator system to measure the level of rural revitalization in China from 2011 to 2021 using the entropy weight method. Then, we explore the spatial and temporal divergence and dynamic evolutionary characteristics of rural revitalization using the Dagum Gini coefficient and Kernel density. We found that the level of rural revitalization in China is low but fluctuating and increasing. Regionally, eastern China scores higher than central, western and northeastern China. In terms of dimensions, ecological livability scores are higher than prosperous industry, effective governance, affluent living and civilized countryside in that order. The regional differences in the level of rural revitalization are mainly reflected between regions, especially between eastern and western China, but the gap between regions is narrowing year by year. And the results of the Kernel density show that the level of rural revitalization in China shows a slow and balanced growth, but the eastern China shows a polarization growth. These findings can provide a comprehensive and objective outline of the advantages and shortcomings of rural revitalization development in China, and provide a policy reference for the comprehensive and stable promotion of rural revitalization construction.

Background Currently, scholars in China are exploring chronic disease management models based on treatment-prevention integration, however, the quantitative evaluation researches are scarce and in the initial stage, lacking in relevance and timeliness. Objective To construct the on-site evaluation index system for integration of medical and preventive services for chronic diseases in primary health care institutions and provide a reference for the quality improvement of integration of medical and preventive services. Methods The on-site evaluation index system for integration of medical and preventive services for chronic diseases in primary health care institutions was initially constructed by literature review, policy induction and expert interview. From June to August 2022, two rounds of expert consultation with 17 experts were conducted using the Delphi method, the index system was determined according to the results of expert consultation, and the weight of each index was calculated by using the analytic hierarchy process. Results The on-site evaluation index system for integration of medical and preventive services for chronic diseases in primary health care institutions was initially constructed consisting of 5 primary indexes, 12 secondary indexes and 37 tertiary indexes. The effective questionnaire recovery rate of the two rounds of expert consultation was 100.0% with the expert authority coefficient of 0.81; the Kendall coordination coefficients of the importance of the three levels of indexes were 0.239 (χ2=8.76, P

In view of the urgent need of air defense early warning information system to assess the threat of aerial targets, this paper analyzes the operational scenarios and characteristics of aerial targets. Firstly, eight indicators, such as ammunition type and country, are extracted. A hierarchical indicator system is built through hierarchical division and a quantitative threat scoring model is given for qualitative and quantitative indicators. Secondly, the weight of each index is given based on AHP, and the comprehensive score of aerial targets threat is calculated. Finally, the accuracy and effectiveness of this method are verified in the simulation experiment. The aerial threat assessment results can effectively support the selection of subsequent equipment scheduling strategies and the allocation of anti-air weapons, and have high practical application value.

With the development of energy storage technology, energy storage technology began to be put into the peak regulation of power grid. But at present, the lack of scientific evaluation means for coordinated peak regulation ability of energy storage and regional power grid (ESRPG) hinders the large-scale participation of energy storage devices in peak regulation. To solve this problem, this paper proposes an evaluation system and evaluation method to comprehensively and accurately evaluate the coordinated peak regulation ability of ESRPG. Firstly, an evaluation system for the coordinated peak regulation ability of ESRPG is established from the perspective of energy storage and generator units. The indicator system comprehensively considers the impact of technology, economy, reliability, and other factors on the peak regulation ability of the ESRPG. At the same time, a multi-level evaluation method composed of an analytic hierarchy process and weighted rank sum ration is proposed to comprehensively evaluate the proposed indicator system. This method not only takes subjective and objective factors into account, but also eliminates the interference of dimensions, orders of magnitude and other factors on the evaluation results. Finally, the evaluation indicator system and evaluation method are applied to the simulation scene for evaluation, and the results show that the evaluation system and method make up for the shortcomings of the current mainstream methods and effectively evaluate the peak shaving capability.

Copyright of Ordnance Industry Automation is the property of Editorial Board for Ordnance Industry Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In recent years, urban floods have occurred frequently in China. Therefore, there is an urgent need to strengthen urban flood resilience. This paper proposed a hybrid multi-criteria group decision-making method to assess urban flood resilience based on heterogeneous data, group decision-making methodologies, the pressure-state–response model, and social–economic–natural complex ecosystem theory (PSR-SENCE model). A qualitative and quantitative indicator system is formulated using the PSR-SENCE model. Additionally, a new weighting method for indicators, called the synthesis weighting-group analytic hierarchy process (SW-GAHP), is proposed by considering both intrapersonal consistency and interpersonal consistency of decision-makers. Furthermore, an extensional group decision-making technology (EGDMT) based on heterogeneous data is proposed to evaluate qualitative indicators. The flexible parameterized mapping function (FPMF) is introduced for the evaluation of quantitative indicators. The normal cloud model is employed to handle various uncertainties associated with heterogeneous data. The evaluations for Beijing from 2017 to 2021 reveal a consistent annual improvement in urban flood resilience, with a 14.1% increase. Subsequently, optimization recommendations are presented not only for favorable indicators such as regional economic status, drainability, and public transportation service capacity but also for unfavorable indicators like flood risk and population density. This provides a theoretical foundation and a guide for making decisions about the improvement of urban flood resilience. Finally, our proposed method shows superiority and robustness through comparative and sensitivity analyses.

Abstract Background Healthy China is a nationwide health strategy aiming at improving health from diverse dimensions, and strengthening high-quality assessment is essential for its stimulation. However, there is limited evidence in the surveillance of the actual performance of the initiative at regional levels. This study innovatively proposes a two-step surveillance process which comprehensively monitors Healthy China Initiative based on regional realities, thus provides guidance for policymaking. Methods A flexible indicator system was firstly developed basing on Delphi survey and focus group discussions. And then the Analysis Hierarchical Process and the TOPSIS method were used to determine the weights of indicators and calculate comprehensive indexes as the surveillance outcomes. A pilot study was conducted in a typical area in China to verify the applicability of the process. Results Following the surveillance process and basing on the implementation of Healthy China Initiative in the target region, an indicator system comprised of 5 domains and 23 indicators with weights was first developed specifically for the pilot area. Then 1848 interagency data of the study area were collected from 8 provincial institutions/departments to calculate the indexes and ranks of the five domains which were health level, healthy living, disease prevention and control, health service, and healthy environment. The outcomes showed that Healthy China Initiative in the pilot area had been constantly improved since the strategy proposed, while there were still issues to be tackled such as the deficient monitoring mechanisms and unevenly development progress. Conclusions This study proposed a pragmatic surveillance process with indicators which could be tailored for specific context of target regions and produce meaningful surveillance outcomes to inform decision-making for policymakers, and also provided a theoretical foundation as well as empirical evidence for further health strategies and plannings assessment studies.

With the rapid development of China's economy, external dependence on petroleum resources continues to increase, and their security has become an important part of national security. To evaluate the security of China's petroleum resource supply in a scientific and objective manner, this study establishes a corresponding petroleum life-cycle evaluation index system, based on the theory and method of the whole life-cycle security evaluation of mineral resources, and conducts further independence and grey correlation analysis on the indexes for the purpose of evaluating the petroleum risk situation in China, based on relevant public data from the past 10 years. The results show that the overall trend of China's oil risk has a “U”-shaped characteristic of first decreasing and then increasing. Furthermore, the analysis finds that China's mineral resources have been greatly influenced by the domestic production situation and international trade. These results suggest that the security of petroleum supply can be improved by safeguarding international trade in petroleum resources, strengthening the strategic reserves of domestic petroleum resources, and developing new alternative clean energy sources to improve the resilience of petroleum supply security. This study's research methodology is more logical and systematic than traditional methods, and the analysis of the factors is comprehensive and of high application value, providing implications for the establishment of a big data analysis and evaluation index system for oil resource security.

This paper studies the technological maturity of five Power to X (P2X) technologies: power-to-heat, power-to-refrigeration, power-to-hydrogen, power-to-ammonia and power-to-methane. First, a general three-level indicator system applicable to different P2X technologies is proposed from three dimensions: technical-economic value, technical performance, and social and environmental impacts. Next, a weighting method combining the ordering relation method and the entropy weight method, which integrates subjective and objective weighting methods, is adopted to determine the indicator weight. Then, the five P2X technologies are comprehensively evaluated and compared. The results show that the indicator weight determination and indicator standardization method can effectively deal with multi-level indicator system. The overall score of power-to-heat/refrigeration is significantly higher than that of the other three P2X technologies, while the overall score of power-to-hydrogen is higher than that of power-to-ammonia and power-to-methane. Both power-to-ammonia and power-to-methane technologies get lower scores, indicating that these two technologies have not yet reached the mature stage.

Statistical monitoring of the level of economic growth momentum transformation is the basis for implementing quantitative policies for economic growth transformation. Based on theoretical analysis and combined with the process of national economic operation, this paper designs an economic growth momentum transformation monitoring indicator system consisting of four dimensions, supply and demand, factors, consumption and trade, using a comprehensive evaluation method to compile the economic growth momentum transformation level index. Using mainland China's provincial data from 2002 to 2021, we calculated the economic growth momentum transformation level of each province and extracted corresponding characteristics. The research found that the economic growth momentum transformation level of provincial economies in China exhibits stage-wise and dimensional differentiation over time, and it has category agglomeration and tiered transfer characteristics in space.

[Purpose/Significance] In the ever-evolving realm of higher education, the pronounced significance of methodically evaluating talented people in scientific and technological (S&T) fields within academic institutions has risen to paramount importance. This research endeavors to intricately dissect the manifold factors of shaping the evaluation of talented people in Chinese colleges and universities. Simultaneously, it seeks to meticulously design a comprehensive indicator system custom-tailored to this unique milieu. The dual objective encompasses unraveling the intricate dynamics underpinning the evaluation of talented people in S&T fields and invigorating talent cultivation and igniting innovation in scientific research across the academic landscape. [Method/Process] Guided by a meticulous review of both domestic and international advancements in the domain of the evaluation of talented people in S&T fields in higher education, this paper diligently dissects the intricate interplay of systems, theories, methodologies, and evaluation frameworks within Chinese academic institutions. By meticulously addressing associated challenges, conducting extensive discourse on influential variables, and meticulously examining facets of S&T prowess assessment within universities, this study culminates in the construction of an evaluation indicator system tailored to the unique nature of institutions of Chinese higher education. [Results/Conclusions] The findings echo the existence of critical gaps in the ongoing evaluation of talented people in S&T fields within Chinese universities. These noteworthy limitations encapsulate the intricate equilibrium sought between objectivity and subjectivity, the imperative for indicators to be comprehensive yet operationally feasible, the mandate for assessment to be dynamic and timely, and the essentiality of embracing multi-dimensional evaluation. This compels us to chart a trajectory towards the future where the development of an evaluation system of talented people in S&T fields rests on the bedrock of data-driven and intelligent assessment paradigms. This envisioned system must incorporate multi-dimensional evaluation approaches, integrate behavioral assessment modalities, deploy dynamic evaluation mechanisms, and, equally, factor in dimensions of social influence, sustainability, and internationalization. As we navigate this academic journey, further empirical research and meticulous indicator validation exercises must be undertaken within the realm of the evaluation of talented people in S&T fields in Chinese higher education institutions. These empirical undertakings, by virtue of their in-depth insights, are poised to illuminate our path forward, serving as compasses guiding the development of talented people in S&T fields in China's academic sphere. The journey towards comprehensive evaluation necessitates data-driven intelligence, multifaceted assessment perspectives, and a clear alignment with the pulse of societal dynamics and global imperatives. The culmination of these efforts will invariably shape the trajectory of the progression of talented people in S&T fields, ensuring that they remain at the vanguard of innovation and advancement. In essence, the evaluation of talented people within Chinese higher education institutions is primed for an evolution characterized by acumen, innovation, and internationalization. Through the harmonious amalgamation of rigorous research methodologies and adaptive frameworks, the academic community is poised to craft a transformative path that enriches talent development, propels research breakthroughs, and fuels the advancement of knowledge-based societies.

Green development of agriculture and rural areas (GDARA) is an essential part of rural revitalization and high-quality development. Based on 2011 to 2020 provincial panel data from China, the entropy-based Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model is constructed to measure the level of GDARA, finding that the overall level during the sample period was positive. Then the regional differences mainly from intra-regional were revealed by the methods of Dagum Gini coefficient and Kernel density estimation and were shrinking overall. Besides, the results of Markov chain transfer matrix show the dynamic characteristics clearly, which the low-level regions shift to the middle and high levels with a greater probability. The results of the spatial autocorrelation test display that GDARA has a spatial clustering effect. Finally, the industrial upgrading and the business income of leisure agriculture are respectively proven to hinder GDARA at most by the Obstacle degree model empirically. Based on a series of empirical tests, a few relevant policy recommendations are proposed to promote the road to strong agriculture and rural areas in China.

Waterlogging is one of the world's most dangerous climatic hazards, seriously limiting the safety and sustainable development of cities. Analysis of the factors influencing urban waterlogging and disaster risk assessment are of great importance for the prevention and control of waterlogging. The study constructs a framework for assessing Urban Waterlogging Risk (UWR) from four dimensions: natural condition, social capital, infrastructure and built environment, emphasizing the need to understand and address the vulnerabilities and risks faced by cities in terms of waterlogging. On this basis, the MaxEnt model is used to rank the contribution rate of the indicators and identify positive and negative correlations, as well as to assess the risk of waterlogging and identify waterlogging-prone areas, taking Tianjin Downtown as the research object. The results show that: (1) MaxEnt model has strong applicability for waterlogging risk assessment. (2) The elements with the highest impact on urban waterlogging are population density, impervious surface, precipitation, etc., and prove that the regional waterlogging risk increases with the increase of population, building density, and impervious surface. (3) The high-risk area of waterlogging in Tianjin Downtown is concentrated in the central part of the city, which is characterized by a high degree of development and construction and a dense population; the low-risk area is mainly the area with a low degree of construction at the edge of the city, as well as the area with a large green area or water bodies. In this study, a comprehensive framework for assessing UWR was developed, key factors affecting the spatial distribution of UWR were identified, and the MaxEnt model was used to perform the risk assessment with a high degree of accuracy. The study results can provide a theoretical reference for the urban disaster warning and land use optimization.

This study focuses on the urban landscape design of city A, and uses information fusion technology to evaluate. Through the analysis of the measured data by the entropy weighting method and the ensemble optimal weighting method, and compared with the established index system, the results reveal the weights of different landscape elements. Regarding ecological landscape, the CR value was 0.003, in which landscape diversity and green space rate were the leading indicators, and the weights were 0.2976. The weights of landscape dominance and uniformity were relatively medium, both of which were 0.1579. In the evaluation of aesthetic landscape, the CR value was 0.0309, and the highway alignment and urban landscape indicators in the urban landscape were the most important, with a weight of 0.2044, while the weight of the indication information was the lowest, only 0.0266. The CR value of the cultural landscape was 0.0518, of which the weight of scenic connectivity was the highest (0.5559), followed by the number and scale of scenic spots (0.3537), and the weight of historical and cultural elements was the lowest (0.0904). In the past few years, landscape design has accounted for the most significant proportion of landscape construction investment, especially reaching a peak of about 57,000 yuan in 2022. From 2018 to 2022, the cumulative investment in urban landscape design is about 246664 yuan.

In this paper, an impact degree indicator system with several indicators is established, and the stability, estimation, lag selection and forecasting of the VAR model are considered in the model construction, and the MVAR model structure and estimation methods are also studied. Chongqing city is selected as the object for the actual case, and the influence degree of international logistics factors on international trade is explored, and the influence of transportation costs on real trade is studied in depth from two aspects: the spatial and temporal dimensions and the influence of high logistics costs on the trade of CIS countries. The study results show that: high logistics costs lead to the concentration of international trade in Central Asian countries up to 0.4 to 0.5. More than half of the goods the six CIS countries sell to the EU are concentrated on one or two specific items. The impact of international logistics costs is so significant that it cannot be ignored in international trade.