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A large number of new energy power electronic equipment is connected to the new power system, and the high proportion of new energy brings huge volatility and randomness, so it is necessary to establish a systematic risk assessment system to adapt to the new power system. This paper has improved the neglect of environmental benefits and supply and demand balance in the existing indicator system and established an indicator system for the risk of the new power system from the five perspectives of safety, supply and demand, sufficiency, cleanliness, and flexibility through the analysis of the evaluation indicator system of the large power grid and the influencing factors of the new power system. The index weight of a new power system is established by means of the entropy weight–critic combination weighting method, and the comprehensive evaluation is carried out by combining it with the cloud model. Finally, the specific data of the new power system in Fujian Province from 2020 to 2022 are taken as an example to verify the feasibility of combining the combined weighting method and the cloud model, and it is concluded that the new power system in Fujian Province has been in a "low risk" operation state for the recent three years. [ABSTRACT FROM AUTHOR]

This paper aims to improve the level of social credit system and the accuracy and efficiency of bank users' credit scoring by using business intelligence technology based on deep neural network (DNN). Firstly, based on the theory of personal credit evaluation factors, a comprehensive credit evaluation factor system is constructed, taking into account social and economic background, consumption habits, behavior patterns and other factors. Meanwhile, back propagation neural network (BPNN) theory is introduced as the core method of modeling to cope with the nonlinear relationship in the credit scoring task and the demand of large-scale data processing. Secondly, by analyzing the operation process of BPNN in detail, the specific application in credit scoring model is emphasized. Finally, on the basis of theory and operation, this paper implements a credit scoring model for bank users based on BPNN theory. The experimental results show that the model realized in this paper can automatically discover the key attributes and internal rules in the sampled data, and adjust the weight and threshold of the network by modifying the parameters and network structure to meet the expected requirements. The accuracy of the credit score of the predicted sample data reaches 99.5%, and the prediction error is very small, which has a good prediction effect. This paper provides a feasible solution for business intelligence and DNN in the field of credit scoring, and also provides strong empirical support for improving the level of social credit system. [ABSTRACT FROM AUTHOR]

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This paper constructs a rural resilience measurement index system from three dimensions: resistance and absorptive capacity, recovery and adaptive capacity, innovation and transformation capacity. Taking 101 counties (cities, districts) in Hunan Province as the research units and 2012-2020 as the research period, this paper uses TOPSIS and grey correlation analysis to measure the level of rural resilience in Hunan Province and analyze its influencing factors. Results show that: ① From 2012 to 2020, rural resilience in Hunan Province has steadily improved, but the overall resilience level is still not high. Resistance and absorptive capacity, recovery and adaptability have improved significantly, and innovation and transformation capabilities have changed little and have been at a low level, which has become a weakness of rural resilience in Hunan Province; ② In terms of spatial pattern, the spatial distribution of rural resilience in Hunan Province is clearly differentiated. The resilience level is more consistent with the economic and social development level of the city where it is located. The Changsha-Zhuzhou Xiangtan urban agglomeration has a high level of resilience, followed by the Dongting Lake area and southern Hunan, and the lowest pattern in the Xiangxi area; ③ From the perspective of influencing factors, the level of economic development and social structure have a greater impact on rural resilience. In view of the differences in resilience levels between regions in Hunan Province, measures should be taken in accordance with local conditions, grasp the key factors affecting rural resilience according to different regional characteristics, and take targeted measures to improve the overall level of rural resilience. [ABSTRACT FROM AUTHOR]

To evaluate the earthquake disaster resistance capability of highway tunnels, it is necessary to study an index system for the earthquake disaster resistance capability of highway tunnels. This paper uses a literature research method. The damage of highway tunnels in 12 earthquake disasters recorded in detail in China and abroad was investigated. According to the types of hazard-beating bodies and damage forms, 17 seismic damage scenes of highway tunnels are classified. According to different damage scenes, the fault tree analysis model is used to identify the damage-causing factors. Combined with the industry standards, norms and research results related to the earthquake resistance of highway tunnels, the evaluation indices are analyzed from three perspectives: engineering geological factors, tunnel structural factors and operation management factors. According to the principle of index system construction, a four-level index system is constructed, which takes the earthquake disaster resistance capability of highway tunnels as the target layer; engineering geological factors, tunnel structural factors and operation management factors as the criterion layer indices; 12 indicators as the index layer and 35 specific indicators. The established index system for the earthquake disaster resistance capability of highway tunnels has strong scientific, rational and application value and can provide a reference for the evaluation of the earthquake disaster resistance capability of highway tunnels and can also provide important support for the safe operation and sustainable development of highway tunnels. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Agricultural Science & Technology (1008-0864) is the property of Journal of Agricultural Science & Technology 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.)

Enhancing the resilience of rural households against the impacts of risks and moulding their enduring strength despite modest scale holds paramount contemporary significance for a multitude of developing nations, including China. This study uses the microdata of the China Labor-Force Dynamics Survey (CLDS), systematically measures the rural household resilience index for the first time, analyses the impact of the digital economy on the resilience of rural households, and dissects the group differences and mechanism of action. We found that from 2012 to 2018, the Chinese rural household resilience index had significant differences in time and space, and village market, gentry assistance, economic organisation, and income from collective operation were the most important indicators affecting the rural household resilience index. The improvement of the digital economy index, to some extent, suppressed the improvement of the rural household resilience index. Meanwhile, heterogeneity analysis suggested that depending on family size and housing property rights, the impact of the digital economy on the resilience of rural households will be divided. Moreover, mechanism analysis showed that the digital economy further affected the resilience of rural households through the employment comprehensive effect, income structure effect and member security effect. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Irrigation & Drainage is the property of Journal of Irrigation & Drainage 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.)

[Objective] As the main energy source in China, coal has an important strategic position in the country's economic development. China's coal-based energy structure model will not change in the short term, but coal mine accidents occur frequently. Mine fire is a major disaster that threatens safe coal mine production, which incurs huge economic losses and threatens the personal safety of miners and coal mine production. However, coal spontaneous combustion primarily causes mine fires. The occurrence mechanism of coal spontaneous combustion is highly complex and is affected by the inherent combustion characteristics of coal and external environmental factors. Therefore, it is necessary to comprehensively analyze various phenomena and characteristics in the process of coal spontaneous combustion and apply quantitative indicators to express to predict the risk and ensure the safe production of the mine. [Methods] Oxygen concentration is an important factor influencing coal oxidation reaction. In this paper, the temperature-programmed experimental system is used to conduct the spontaneous combustion experiment of coal samples with three oxygen concentrations of 20.9%, 10%, and 7% regarding the heat dissipation, oxidation, and asphyxiation zones in the goaf. The gas products at different temperature stages are collected, the effects of temperature and oxygen concentration on the concentration of gas products are analyzed, and the index gases are classified and evaluated in detail. [Results] The results show the following: (1) The cross-point temperature (CPT) decreases with the increase in the oxygen concentration. The cross-point temperature under dry-air conditions is 144.6 °C. The error between the CPT value calculated by the BM empirical relationship and the experimental data is only 6.08%. The higher the oxygen concentration, the smaller the critical temperature, and the higher the gas concentration. (2) The content of oxidation products increases with the oxygen concentration. When heating commences, minimal CO and CH4 gases are generated, but with the increase in the temperature, C2H4 and C2H6 gases appear gradually. The oxidation reaction of coal samples is primarily affected by temperature and oxygen concentration. At a certain temperature, the higher the oxygen concentration, the more intense the coal-oxygen composite reaction, and more gas products appear. (3) For different oxygen concentration environments, the regularity of generating CO gas is highly significant, which can be used as an indicator gas to evaluate the spontaneous combustion of coal. In dry air, the temperature of C2H4 is earlier than that of C3H6, implying that the existence of C2H4 indicates that the coal oxidation process has entered an accelerated stage. The emergence of C3H6 gas marks the transformation of the coal oxidation into strong oxidation. Recently, the programmed temperature rise experiment has become an important research field. [Conclusions] Through indoor experiments, students can deeply understand the mechanism of coal spontaneous combustion and the process of establishing the prediction index system and introduce the experiment into the classroom. This practical teaching approach not only helps students to apply theoretical knowledge to practical problems but also broadens their horizons and improves their interest in scientific research, achieving better teaching results. [ABSTRACT FROM AUTHOR]

The great demand for oil shale resource development and the corresponding threats to the environment have resulted in the urgent need to assess the impact of oil shale in situ mining on the environment. In this paper, based on an analysis method developed by the previous literature and the Delphi technique, three secondary indicators and ten tertiary indicators were selected. The weights of the indicators at all levels were subsequently calculated. The results identify environmental capacity, groundwater risk and prevention, and cleaner production as having the largest weights in the indicator system. Following this, the typical three-level indicators with the largest weight and content related to carbon emissions were introduced in detail, and combined with the calculated weight of each indicator, the comprehensive evaluation index method was used to determine the comprehensive evaluation model for the environmental impact of oil shale in situ mining. The comprehensive evaluation model value, PA, of the target layer (the primary indicator) under two different heating methods, combustion heating and electric heating, were then calculated based on the oil shale in situ mining area in Fuyu City, Jilin Province, China. This study introduces carbon-emission-related elements into the three-level indicator evaluation calculation model, which is a more accurate and advanced comprehensive evaluation method. [ABSTRACT FROM AUTHOR]

Copyright of Railway Standard Design is the property of Railway Standard Design 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.)

This paper takes the monitoring and evaluation project of the implementation of the late support policies for large and medium-sized reservoir resettlers in WZ City, GX Autonomous Region in 2021 as an example based on the original survey data of 200 resettlement families in 10 resettlement villages, and uses the grey clustering-multiple correlation-information sensitivity method and constructs an evaluation index system including per capita disposable income and other indicators. After the index weights are calculated by the entropy weight method and the sequential scoring method, the subjective and objective combined weights of the evaluation indices are determined by the combination weighting method based on game theory.The grading standards of indices are determined based on survey data and official statistical data. The index of productive and living standards of reservoir resettlers is calculated by the comprehensive scoring method, and the index is used to carry out an empirical evaluation of the production and living standards of the reservoir resettlers in the sample village. The resuits show that the index system and evaluation model constructed by the method in this paper are relatively reasonable and effective, and the evaluation results are in line with the reality, which serve as a reference for the evaluation of the late support effect of reservoir resettlers and other related evaluation work. [ABSTRACT FROM AUTHOR]

The marshalling scheme is the foundation to match the operation mode and passenger flow characteristics of metro in different periods, and it is also the key problem that directly affects the cost of metro planning and construction and low-carbon operation. Based on the comprehensive analysis of the key factors affecting the metro marshalling scheme, a comprehensive evaluation index system and a two-step screening method are established. Based on the analysis of the difference of the impact of each index on the metro marshalling plan, a new evaluation model of the metro marshalling plan in the early and near future based on super-efficiency DEA is proposed. Finally, the feasibility and rationality of the evaluation and comparison model of the early, near and long-term subway marshalling scheme are verified and analyzed by examples. The results show that: (1) The fixed marshalling plan is a cost-energized plan, which requires higher equipment cost and operation input, while the modified marshalling plan is a technology-energized plan; by improving the management and technical level, the effective output of capacity matching and passenger time satisfaction can be achieved. (2) The advantages and disadvantages of modified marshalling scheme and fixed marshalling scheme are dynamic to a certain extent, comprehensive judgment should be made according to the specific conditions of the line, the financial situation of the city or enterprise, the operation management and the technical level. The theoretical method of comparison and selection of early, near and long-term metro marshalling schemes presented in this paper is applicable to many practical scenarios and has certain practicability, which can provide certain theoretical reference for the standardization of comparison and selection of early, near and long-term metro marshalling schemes. [ABSTRACT FROM AUTHOR]

Under the background of the rapid development of innovation economy promoted by education science and technology, this paper uses the DEA Malmquist index model to build an evaluation index system based on the research object of the Education Science and technology industry of 31 provinces in China from 2010 to 2019. It makes a static analysis of its input–output efficiency from the aspects of comprehensive efficiency, pure technical efficiency and scale efficiency. Also, the Malmquist index method is used to analyse the changes of comprehensive efficiency, technical efficiency and technological progress. It is found that the development of the educational science and technology industry in different regions of China has its own characteristics. The efficiency of educational science and technology in some regions is good, but the growth rate slows down, and some efficiency lags behind, so there is a lot of space for improvement. On the whole, technological progress is an important factor affecting the change in total input–output efficiency. It is suggested that regional cooperation should be strengthened to optimise the allocation of educational science and technology resources. It should accelerate the deployment of next-generation technology to promote overall high-quality development. [ABSTRACT FROM AUTHOR]

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control 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.)

With the escalating challenges of climate change and the imperative for carbon neutrality, evaluating the carbon footprint of regional power systems becomes crucial. To address this issue, a low-carbon evaluation framework for regional power systems is developed. First, this study identifies the fundamental requirements that the index system for the low-carbon power system should follow and specifies the general direction for the index system's creation. Second, an evaluation model for carbon reduction ability is proposed by considering generation side, grid side and load side of the power system. Then, a comparative evaluation model for the carbon reduction capability of multi-regional power systems is proposed to spatiotemporally compare the carbon reduction capability of different power systems. Next, a quantification method for the weights of low-carbon evaluation indicators is established based on the power system simulation of multi-scenario scheduling and index sensitivity analysis method. Finally, a low-carbon comprehensive score for regional power systems is created by combining the evaluation results of the system's carbon reduction capacity with index weights. The practical research results in a region of Zhejiang province in China demonstrate that the proposed model can provide a reasonable and feasible evaluation plan for the low-carbon construction of regional power systems. [ABSTRACT FROM AUTHOR]

Qingdao is a large agricultural city. It is of great significance to evaluate its agricultural green development level scientifically and find out the obstacle factors for promoting the high quality development of agriculture. This paper takes Qingdao as the research object, selects 18 indicators from four aspects of resource utilization, ecological environment, product supply and economic benefit, establishes agricultural. green evaluation index system, uses entropy method to evaluate the level of agricultural green development in Qingdao, and uses obstacle degree model to calculate the obstacle factors affecting the agricultural green development in Qingdao. The results showed that the agricultural green development level of Qingdao showed an increasing trend from 2010 to 2021, and each level index also showed an increasing trend. The obstacles to the green development of agriculture in Qingdao are resource utilization and product supply, and the main obstacles include the proportion of agricultural financial investment, agricultural industry structure adjustment index, effective irrigation rate, agricultural electricity intensity and cultivated land holding index. [ABSTRACT FROM AUTHOR]

Copyright of Petroleum Geology & Recovery Efficiency is the property of Petroleum Geology & Recovery Efficiency 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.)

A smart classroom is a new type of teaching mode based on dynamic data analysis, which is a major change in the teaching mode, and the application of smart classrooms in ideological education can significantly enhance the relevance and effectiveness of ideological and political education in colleges and universities. This paper constructs a smart classroom teaching model for college ideology and politics based on the theory and technology of smart classrooms and designs a smart classroom teaching evaluation model to assess its practical application effect. The model design is combined with the expert consultation method to establish a comprehensive evaluation index system and calculate the weights of each index. Finally, the evaluation of the actual application effect of smart classroom teaching is carried out. The results show that the weights of the two first-level indexes, namely, “scientific method” and “patriotism”, are the highest, respectively 0.5 and 0.5, and the weights of the two first-level indexes are the highest. The results show that among the first-level indicators, the two first-level indicators of “scientific method” and “patriotism” have the highest weights, respectively 0.214 and 0.186. The weights of “classroom performance”, “homework,” and “practical activities” are lower, respectively 0.077, 0.073, and 0.073. Applying this paper's Civics Smart Classroom Teaching Model to actual Civics teaching, the model evaluation results show that the scores of the secondary indicators have increased, of which “asking questions” has increased from 3.54 to 3.98, an increase of 12.43%. In contrast, the indicator of “ extracurricular activities” has risen from 3.54 to 3.98, an increase of 12.43%, and the indicator of “extracurricular activities” has increased from 0.077 to 3.98. Extracurricular activities” indicator rose from 4.36 to 4.47, an increase of 2.52%. This paper designs an intelligent classroom teaching model for college civic education with good practical application effects.

The assessment findings are given too much weight in the current system of evaluation for physical education instruction at higher education institutions. In contrast, the method of teaching and students’ basic health literacy are given insufficient weight. To address this phenomenon, this paper utilizes educational evaluation theory, fuzzy comprehensive evaluation theory, and multiple evaluation theory as the basis for setting up the higher education institution’s physical education teaching assessment system. Three first-level indexes comprise the entire index system, namely, “condition quality,” “process quality,” and “result quality.” Through fuzzy comprehensive evaluation, hierarchical analysis, and genetic algorithm, it is determined that the “process quality” is the most important factor. The “process quality” has the highest weight coefficient of 0.4419, which enhances the importance of the physical education teaching process in higher education institutions. After determining the evaluation index system, the average physical education scores of X physical education classes in University H were calculated by conventional teaching evaluation means and the evaluation means established in this paper, respectively, and compared and analyzed. The difference between the two final average scores was 2.9, which was attributed to the fact that the multivariate evaluation means paying more attention to the core literacy of students’ health. The standard deviation of the statistical results is 2.3, and the skewness, kurtosis, and S-W test values meet the statistical requirements and satisfy the normal distribution, which is thorough and scientific and can encourage academic institutions to pay more focus on how they teach and students’ fundamental physical literacy. These institutions can enhance their instruction by implementing the evaluation system established in this paper, which will improve the quality of instruction and learning in higher education sports.

In this paper, in order to obtain a better classification evaluation effect, a feedback connection model is added to the convolutional neural network to establish the evaluation model of the integration of industry and education in colleges and universities based on FCNN. Compare the MSE loss values of the traditional BP neural network model and the FCNN model. Indicator system construction, with the help of the accuracy of the convolutional neural network, to carry out the whole process of evaluation around the indicators, weights, and the quality of the implementation results. The data of students’ micro-expression concentration recognition test is used as the evaluation data of students’ project participation, comparing the recognition rate of the participation evaluation system proposed in this paper and the traditional participation evaluation system to complete the quality evaluation of the talent cultivation model of college education. Analyze the data on the graduation rates of college graduates to determine the effectiveness of the university’s integration of college education. The analysis shows that in 2022, the professional matching employment rate of graduates was 86.28%, which reflects the high efficiency of the university’s industry-teaching integration on the cultivation of professional and applied talents, and the mechanism of industry-teaching integration is well affiliated.

Introduction: Rural domestic sewage treatment is an important starting point to improve the quality of the rural ecological environment, an important part of new rural construction, and an inherent requirement to promote rural economic development. The operation of rural sewage treatment facilities is not good, and there is a lack of long-term operation guarantees and supervision mechanisms. It is urgent to carry out research on the evaluation index system, evaluation method, and evaluation benchmark of the operational effectiveness of rural sewage treatment facilities. Methods: This article used rural sewage treatment facilities in a city in northern China as the research object and constructed an evaluation method for the operational effectiveness of rural sewage treatment facilities. This study selected evaluation indexes from three perspectives, namely, economy, technology, and management, which are divided into two stages, namely, planning and operation. Ajudgment matrix was constructed using the analytic hierarchy process (AHP), and index weights were calculated using Yaahp10.3 software to determine the evaluation criteria. Fifteen rural sewage treatment plant stations were selected to evaluate their planning and operation effectiveness. Results: The results of the weight assignment show that the weight of the COD removal rate, operating load rate, and operating cost indexes are high, which is in line with the actual evaluation of the effectiveness of rural sewage treatment facilities at different stages. The empirical calculation results showed that the rural sewage treatment facilities have a comprehensive score of more than 80 points in 7 cases and 60-80 points in 8 cases, with an average score of 79.05 points; the overall performance of the score in the operation stage was better than that in the planning stage, and the overall operation effect was good. Discussion: The calculation results were consistent with the actual operation, verifying the scientific nature and availability of the selected indices, the evaluation method constructed, and the evaluation benchmark determined. The research results can provide technical methods for evaluating the operational effectiveness of rural sewage treatment facilities in similar areas and provide technical support for the planning, design, optimization, upgrading, and transformation of rural sewage treatment plants. [ABSTRACT FROM AUTHOR]

Aims and Objectives: To describe a grading system that can be used to evaluate core competency of clinical nurse specialists (CNSs) at different levels. Background: Evaluate core competence of CNSs at different levels reflects the quality of nursing and the development of the nursing profession. Design: This research employed the Delphi method. Methods: The STROBE checklist for observational cross‐sectional studies was followed to report this research study. This study consisted of two main phases: a literature review and semistructured interviews. Individual semistructured interviews were conducted with 11 healthcare experts and two patients. Two rounds of questionnaire surveys were administered to 21 nursing experts using the Delphi method. The CNSs were classified as primary, intermediate or advanced based on their years of work, professional titles and educational qualifications. Results: The graded competency evaluation system consisted of five first‐level indicators (clinical practice, consulting guidance and teaching, scientific research innovation, management and discipline development, and ethical decision‐making), 15 second level indicators, and 40 third‐level indicators. The authority coefficients (Cr) of the experts were.865 and.901. The Kendall's concordance coefficients of the three‐level indicators were.417,.289 and.316 for primary CNSs;.384,.294 and.337 for intermediate CNSs; and.489,.289 and.239 for advanced CNSs. Conclusion: The graded use evaluation system in clinical practice initially involves a comprehensive evaluation of the core abilities of CNSs. This is a tool for cultivating and grading the abilities of specialised nurses that can promote a practical upwards spiral. Relevance to Clinical Practice: The evaluation system can promote the scientific management and continuous improvement of CNSs in clinical nursing and can serve as a practical and objective reference for the effective management and development of CNSs. Patient or Public Contribution: Patients participated in the data collection process, during which they shared their health‐seeking experience with our research team. [ABSTRACT FROM AUTHOR]

Background: The key step in evaluating the quality of clinical nursing practice education lies in establishing a scientific, objective, and feasible index system. Current assessments of clinical teaching typically measure hospital learning environments, classroom teaching, teaching competency, or the internship quality of nursing students. As a result, clinical evaluations are often insufficient to provide focused feedback, guide faculty development, or identify specific areas for clinical teachers to implement change and improvement. Therefore, the purpose of our study was to to construct a scientific, systematic, and clinically applicable evaluation index system of clinical nursing practice teaching quality and determine each indicator's weight to provide references for the scientific and objective evaluation of clinical nursing practice teaching quality. Methods: Based on the "Structure-Process-Outcome" theoretical model, a literature review and Delphi surveys were conducted to establish the evaluation index system of clinical nursing practice teaching quality. Analytic Hierarchy Process (AHP) was employed to determine the weight of each indicator. Results: The effective response rate for the two rounds of expert surveys was 100%. The expert authority coefficients were 0.961 and 0.975, respectively. The coefficient of variation for the indicators at each level ranged from 0 to 0.25 and 0 to 0.21, and the Kendall harmony coefficients were 0.209 and 0.135, respectively, with statistically significant differences (P < 0.001). The final established index system included 3 first-level, 10 second-level, and 29 third-level indicators. According to the weights computed by the AHP, first-level indicators were ranked as "Process quality" (39.81%), "Structure quality" (36.67%), and "Outcome quality" (23.52%). Among the secondary indicators, experts paid the most attention to "Teaching staff" (23.68%), "Implementation of teaching rules and regulations (14.14%), and "Teaching plans" (13.20%). The top three third-level indicators were "Level of teaching staff" (12.62%), "Structure of teaching staff" (11.06%), and "Implementation of the management system for teaching objects" (7.54%). Conclusion: The constructed evaluation index system of clinical nursing practice teaching quality is scientific and reliable, with reasonable weight. The managers' focus has shifted from outcome-oriented to process-oriented approaches, and more focus on teaching team construction, teaching regulations implementation, and teaching design is needed to improve clinical teaching quality. [ABSTRACT FROM AUTHOR]

Objective, and reliable. This system can serve as a basis for the training, selection, and competency evaluation of nursing professionals in CKDMCs. [ABSTRACT FROM AUTHOR]

Driven by the vague assessment big data, a product service system (PSS) evaluation method is developed based on a hybrid model of multi-weight combination and improved TOPSIS by relative entropy. The index values of PSS alternatives are solved by the integration of the stakeholders' vague assessment comments presented in the form of trapezoidal fuzzy numbers. Multi-weight combination method is proposed for index weight solving of PSS evaluation decision-making. An improved TOPSIS by relative entropy (RE) is presented to overcome the shortcomings of traditional TOPSIS and related modified TOPSIS and then PSS alternatives are evaluated. A PSS evaluation case in a printer company is given to test and verify the proposed model. The RE closeness of seven PSS alternatives are 0.3940, 0.5147, 0.7913, 0.3719, 0.2403, 0.4959, and 0.6332 and the one with the highest RE closeness is selected as the best alternative. The results of comparison examples show that the presented model can compensate for the shortcomings of existing traditional methods. [ABSTRACT FROM AUTHOR]

This study focuses on the Yongqiao District in Suzhou City, Anhui Province, China, aiming to analyze the current situation of ground settlement and its influencing factors in the area. The selected risk indices include settlement rate, cumulative settlement amount, groundwater level drop funnel, thickness of loose sediment layer, thickness of soft soil layer, and the number of groundwater extraction layers. Additionally, vulnerability indices such as population density, building density, road traffic, and functional zoning are considered. An evaluation index system for assessing land Subsidence risk was established. The risk evaluation of land Subsidence was conducted using the Hierarchical analysis-composite index method and ArcGIS spatial analysis, The evaluation results show that the area of higher risk area is about 2.82 km2, accounting for 0.96% of the total area, mainly distributed in the area of Jiuli village, Sanba Street. The middle risk area is distributed around the higher area, with an area of about 9.18 km2, accounting for 3.13% of the total area. The lower risk areas were distributed in most of the study area, covering an area of 222.24 km2, accounting for 75.82% of the total area. The low risk assessment area is mainly distributed in Bianhe Street and part of Zhuxianzhuang Town, with an area of about 58.88 km2, accounting for 20.09% of the total area. The findings of this study are not only crucial for informing local policies and practices related to land use planning, infrastructure development, and emergency response but also enhance our understanding of the complexities of land Subsidence processes and their interactions with human activities, informing future research and practice in environmental risk assessment and management. [ABSTRACT FROM AUTHOR]

In the current stage of urbanization in China, urban construction has gradually shifted from incremental construction dominated by real estate to stock transformation based on improving urban quality. The evaluation of urban renewal projects is crucial for decision-making and resource allocation. However, there is no consensus on the evaluation indicators and methods. This study evaluates the current status of urban quality using the MABAC method based on numerical indicators. It evaluates the improvement of urban quality using the VIKOR method based on public satisfaction indicators. It is found that the comprehensive weights and subjective weights of the five first-level indicators in the evaluation index system of urban quality improvement in Shandong Province, namely blue–green space improvement, air cleanliness improvement, road traffic improvement, life service improvement, and governance capacity improvement, are quite different. The weight distribution of these indicators needs to be adjusted and optimized, especially for improving living services, as well as secondary indicators such as black and odorous water treatment, urban clean heating, the number of public vehicles per 10,000 people in the city, the 15 min living circle, the renovation of old residential areas, and the construction of urban intelligent management platforms. Based on the comprehensive evaluation results, an attempt is made to propose a more scientific evaluation index system, providing valuable references for urban renewal management. [ABSTRACT FROM AUTHOR]

To effectively enhance the adaptability of earthquake rescue robots in dynamic environments and complex tasks, there is an urgent need for a comprehensive evaluation method that encompasses establishing an evaluation index system, testing performance indexes, and conducting performance evaluation. Firstly, four main criterion and twenty-three sub-criterion indexes are established by conducting a comprehensive review of existing assessment measures for rescue robots across diverse domains. These indexes are validated through test modules developed by the National Earthquake Response Support Service to obtain corresponding values for each criterion. Moreover, a method for establishing the index system is proposed based on the fuzzy clustering analysis and grey correlation analysis methods. This method effectively addresses issues related to excessive subjectivity, redundancy, and ambiguous stratification of indexes. Subsequently, the DEMATEL is employed to scrutinize the interrelationships and causal connections among each index within the established index system, leading to the identification of input and output indexes based on the analysis outcomes. Finally, as an empirical example, three earthquake rescue robots are comprehensively evaluated and ranked using the super efficiency DEA model. Alongside analyzing results regarding input redundancy and output deficiency, targeted improvement suggestions are provided for each earthquake rescue robot. Additionally, comparison analysis with the entropy weight method and VIKOR method verifies the effectiveness of our proposed method. [ABSTRACT FROM AUTHOR]

The ocean and coastal zones are rich in resources and closely related to human survival and development. In recent years, with the rapid growth of the ocean economy, issues such as the reduction of natural coastlines and coastal wetlands, decreased biodiversity, damaged typical ecosystems, frequent coastal disasters, and declining fishery resources have become increasingly apparent. How to enhance the ocean economy from a strategic perspective, promote both development and protection, and ensure the rational use of coastal zones and marine resources is an important issue in the new era. Land and ocean are inseparable components of the ecosystem, and conducting a comprehensive assessment of the resource and environmental carrying capacity of land and sea is an effective way to measure whether regional economic development and ecological environment are coordinated and sustainable. This paper systematically reviews the development process of the carrying capacity concept, compares commonly used methods for evaluating the resource and environmental carrying capacity of marine resources, preliminarily constructs an index system for evaluating the carrying capacity of marine resources based on land-sea coordination, proposes the use of entropy method to determine index weights, and adopts a state space evaluation model or TOPSIS model for comprehensive carrying capacity evaluation. This approach can reflect the interdependence and mutual constraints between land and ocean, and has strong operability. The evaluation results can reflect the spatial differences or temporal changes in the carrying capacity of regional resources and environment, and provide effective reference for the protection and utilization of oceans and coastal zones.

Fault-fracture bodies are developed in the southwestern margin of Ordos Basin， and thus， the study on the controlling effect of fracture bodies on sweet spot distribution of Yanchang Formation reservoirs needs to be deepened. In this paper， based on the extensive seismic and logging interpretation results， the characteristics of fault-fracture bodies are described from the point of view of their evolution mechanism， and then the controlling effect of fault-fracture bodies on oil and gas is systematically discussed. The results show that vertical strike-slip faults are developed in the southwest margin of Ordos Basin， with Y-shaped， flower-like， and negative flower-like structures. The faults usually pass through the bottom of Chang 7 Member， the bottom of Yan’an Formation， the bottom of the Cretaceous series， and the basement. Some of the faults retain the early reverse fault properties， indicating that the late inversion degree is not complete. The main fault has different shapes and migrations in different parts， and the section shows the cyclic transformation of tension-torsion and compression-torsion properties. On the plane， different types of fracture combinations appear alternately. The development model of strike-slip faults is established， and the strike-slip faults have typical characteristics of “multi-stage activity and inherited development”. Chang 8 Member mainly develops vertical fractures and horizontal bedding fractures. The development frequency of horizontal bedding fractures is 62.5%， while that of vertical fractures is 37.5%. The oil level of vertical fractures is relatively higher. Fractures are mainly developed in fine sandstone in distributary channels. When the distance from the main fault is greater than 1.25-1.5 km， the degree of fracture development decreases sharply， showing a fault-fracture body boundary. In addition， fractures are relatively developed in the single sand body within 6 m from the main fault. When the thickness of the single sand body exceeds 6 m， the degree of fracture development decreases sharply. The study shows that the index system based on sedimentation （foundation）， structure （dominant）， and fracture （effective） can effectively predict the favorable zones of Chang 8 fault-fracture body reservoir.

• Water resources system has multi-link characteristics. • The resilience evaluation index system of water resources system is constructed. • The resilience of regional water resources system is evaluated. • The temporal and spatial evolution characteristics of resilience are analyzed. As environmental and human changes combine, water shortage and ecological fragility are becoming increasingly serious issues in the basin. The national "14th Five-Year Plan" proposes to build resilient basins to enhance disaster resilience. On the basis of clarifying the multi-link characteristics of water resources system resilience under the influence of meteorology-hydrology-ecology-society-economy, this paper reveals the interrelationship and chain reaction among the factors affecting the resilience of water resources system by clarifying the multi-link characteristics of water resources system resilience. Based on the interconnections among meteorology-hydrology-engineering-economic society-ecology in regional water resources systems, this study constructs a resilience evaluation index for the water resources system. The index considers different objectives, dimensions, and scales to provide a comprehensive assessment of the system's resilience. Based on the multi-dimensional relationship of the evaluation index system, the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method based on entropy weight method is employed to depict the resilience level of the water resources system at varying spatial and temporal scales. By focusing on Shanxi Province as the research subject, a multi-link evaluation framework for assessing the resilience of the water resources system is established, and a quantitative approach to evaluate its resilience is investigated. The results show that the level of water resources resilience in Shanxi Province has improved from 2017 to 2021, and there are certain spatial and temporal differences. In 2021, only Lvliang City and Yangquan City have low resilience level, and the resilience level of other cities has been improved. Among them, Taiyuan City has the highest resilience level of 0.56, which belongs to the high resilience level. The research results can improve the cognitive level of multi-link evolution mechanism of resilience to a certain extent, and provide scientific basis for multi-dimensional targeted regulation of water resources system resilience. [ABSTRACT FROM AUTHOR]

Irrigation districts are a pivotal infrastructure of agricultural water conservancy engineering. Implementing modernization will be the main task of large-scale irrigation districts for a considerable amount of time in the future. In this study, four typical large-scale irrigation districts in North China were investigated: the Renmin Shengliqu, Weishan, Shijin, and Zuncun irrigation districts. The concept of a modern irrigation district was deconstructed to establish an evaluation index system which includes four second-level indicators, twelve third-level indicators, and thirty fourth-level indicators. A hybrid approach based on AHP and OWA was used to quantify indicator weights used in group decision making. TOPSIS was introduced to measure the modernization level of the four irrigation districts. An obstacle factor diagnosis model was applied to search for key obstacle factors that will affect the modernization and improvement of the irrigation districts. The results showed that (1) the modernization levels of the Renmin Shengliqu, Weishan, Shijin, and Zuncun irrigation districts in 2020 and 2025 were 0.3916 and 0.5755, 0.3748 and 0.5396, 0.4493 and 0.6012, and 0.2343 and 0.6166, respectively. The evaluation results indicate that the four irrigation districts are still in the beginning phase (or even preparation phase) of the modernization process. (2) Eight indicators were identified as the main common obstacle factors for the four evaluated irrigation districts, including the irrigation water-use efficiency factor, the coverage proportion of information technology, the proportion of efficient water conservation irrigation areas, and so on. (3) There are two effective methods to enhance the modernization level of the four irrigation districts: improving water resource utilization efficiency and strengthening the management system with an emphasis on informatization. The present study can enrich the theoretical evaluation of irrigation districts and provide a scientific basis for the modernized construction and management of irrigation districts in China. [ABSTRACT FROM AUTHOR]

With the active development of coal-related industries in Ningdong, problems such as land degradation caused by coal-based site expansion and soil pollution caused by coal-based solid waste discharge are getting progressively worse. The identification of space types and the proposal of risk management are the key basic issues of regional energy resource low-carbon development and ecological protection. This article proposes an index system for feature extraction at the regional and site scales. The spatial–temporal evolution trends and differences in Ningdong coal power base from 2003 to 2021 were identified and interpreted through feature recognition based on Landsat images at the regional scale. Accurate site type recognition was conducted based on 10 m resolution Sentinel-2 images from 2021. We utilized the PSR (pressure–state–response) model for a comprehensive assessment of risk management in Ningdong. The results of this study show that the coal site > the coal chemical site > the coal power site, and the risk of the coal power base is in a controllable state; thus, we put forward a zoning control strategy. Our data on the pollution risk management of large-scale coal-fired power generation complexes are of significant importance for site remediation and regional ecological restoration. [ABSTRACT FROM AUTHOR]

As environmental and human changes combine, water shortage and ecological fragility are becoming increasingly serious issues in the basin. The national “14th Five-Year Plan” proposes to build resilient basins to enhance disaster resilience. On the basis of clarifying the multi-link characteristics of water resources system resilience under the influence of meteorology-hydrology-ecology-society-economy, this paper reveals the interrelationship and chain reaction among the factors affecting the resilience of water resources system by clarifying the multi-link characteristics of water resources system resilience. Based on the interconnections among meteorology-hydrology-engineering-economic society-ecology in regional water resources systems, this study constructs a resilience evaluation index for the water resources system. The index considers different objectives, dimensions, and scales to provide a comprehensive assessment of the system’s resilience. Based on the multi-dimensional relationship of the evaluation index system, the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method based on entropy weight method is employed to depict the resilience level of the water resources system at varying spatial and temporal scales. By focusing on Shanxi Province as the research subject, a multi-link evaluation framework for assessing the resilience of the water resources system is established, and a quantitative approach to evaluate its resilience is investigated. The results show that the level of water resources resilience in Shanxi Province has improved from 2017 to 2021, and there are certain spatial and temporal differences. In 2021, only Lvliang City and Yangquan City have low resilience level, and the resilience level of other cities has been improved. Among them, Taiyuan City has the highest resilience level of 0.56, which belongs to the high resilience level. The research results can improve the cognitive level of multi-link evolution mechanism of resilience to a certain extent, and provide scientific basis for multi-dimensional targeted regulation of water resources system resilience.

With the continuous increase in the penetration rate of distributed photovoltaic (PV) and diversification of load types, temporal variability and uncertainty of distributed PV output and loads have exerted significant impacts on distribution grids. The planning and operation of future power systems dominated by renewable energy sources requires a quantitative assessment of source-load matching. This paper proposes a comprehensive assessment method for source-load matching that takes into account scenario probabilities. The first step is to establish a source-load matching index system that takes into account the temporal differences between sources and loads. Metrics such as supply-demand matching, volatility matching, and electricity quantity matching are included in this system. Subsequently, data-driven and K-means synchronous clustering is used to generate representative PV and load temporal scenario sets, along with the probabilities of each scenario, enabling the evaluation of various indicators. The combined weights of each indicator are determined by employing the Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM). Weighted summation is used to obtain the final comprehensive evaluation result. Finally, a case study using a residential distribution area is used to verify the effectiveness and feasibility of the proposed method.

The fundamental task of education is to establish morality and cultivate excellent talents with the all-around development of morality, intelligence, physicality, aesthetics, and labor is the educational orientation of the new era. Under the background of high technology, this paper carries out a survey on English teaching based on the five education and lifting in a college, analyzes the development of morality, intelligence, physicality, aesthetics, and labor in its English teaching, and on this basis, carries out the teaching design of five dimensions and puts forward the innovative path of English education based on the five education and lifting. After the implementation of the innovative path of English education for students in a certain university, the evaluation index system of English teaching effect was constructed by combining the five dimensions of education, and the principal component analysis method was applied to evaluate the effect of English teaching based on the five dimensions of education. At present, there is a problem of uneven development of the five education systems in English teaching, focusing on the development of intellectual education (4.39) and moral education (3.82) and paying insufficient attention to physical education and labor education. After the teaching practice, the comprehensive evaluation of the teaching effect is 7.833 points, and the scores of the five dimensions are all above 7.5 points. Students’ moral, intellectual, physical, social, aesthetic, and labor have gained all-around development, and the implementation of the innovative path of English education based on the five education has achieved a better teaching effect.

This paper first analyzes the procedure process and needs of identifying poor students in colleges and universities and constructs a working system to help them. Secondly, it analyzes the evaluation process of the comprehensive system for assisting poor students and constructs an evaluation index system for their aid work. Then, the fuzzy comprehensive evaluation was established to comprehensively evaluate the work of poor students’ aid, and the results were tested using the EDA model. Finally, the quantitative analysis of index weights and satisfaction was conducted with the example of H University. The results showed that, from the index weights, the index weight of the identification of poor students was the largest, 0.3294, and the weights of the construction of rules and regulations and work effectiveness were the smallest, 0.0838 and 0.0178, respectively.

This paper analyzes the English teaching model’s structure, function, and characteristics and constructs the basic structure of the classroom innovation teaching model. Then, the English teaching model is constructed, and the English teaching evaluation index system is established based on the algorithms of structural equation model, multigroup structural equation and multigroup parameter estimation. Finally, the quantitative analysis of index weights and satisfaction was conducted with the example of college A. The results showed that the weights of the primary indicators were 0.2873, 0.1294, 0.2546, and 0.3287 for personalized needs, perceived quality, perceived value, and satisfaction, respectively, which indicated that the multigroup structural model could help universities to realize the innovation of English teaching mode and to adopt diversified teaching methods to meet student’s diverse needs in the teaching process. Diversified the needs of students and improved their satisfaction.

To evaluate the earthquake disaster resistance capability of highway tunnels, it is necessary to study an index system for the earthquake disaster resistance capability of highway tunnels. This paper uses a literature research method. The damage of highway tunnels in 12 earthquake disasters recorded in detail in China and abroad was investigated. According to the types of hazard-beating bodies and damage forms, 17 seismic damage scenes of highway tunnels are classified. According to different damage scenes, the fault tree analysis model is used to identify the damage-causing factors. Combined with the industry standards, norms and research results related to the earthquake resistance of highway tunnels, the evaluation indices are analyzed from three perspectives: engineering geological factors, tunnel structural factors and operation management factors. According to the principle of index system construction, a four-level index system is constructed, which takes the earthquake disaster resistance capability of highway tunnels as the target layer; engineering geological factors, tunnel structural factors and operation management factors as the criterion layer indices; 12 indicators as the index layer and 35 specific indicators. The established index system for the earthquake disaster resistance capability of highway tunnels has strong scientific, rational and application value and can provide a reference for the evaluation of the earthquake disaster resistance capability of highway tunnels and can also provide important support for the safe operation and sustainable development of highway tunnels.