Construction Of Index System Research Articles

Index System Construction and Model Analysis of University Teachers’ Data Literacy Ability

The research on the index system construction and model analysis of data literacy ability of university teachers has influenced the development of academic field, and the rapid development of information digitization technology has brought about a torrent of data. University teachers’ life, work and learning are profoundly affected by the big data environment, and the level of data literacy of university teachers will play a vital role in the development of information society. On this basis, the index system of teachers’ data literacy is introduced. The effectiveness of the data literacy model of university teachers will become an important index. According to the analysis results, the fuzzy comprehensive evaluation method is used to determine the index weight of teachers’ data literacy ability and the hierarchical model is established to analyze it. The scale of the ability index is calculated, and the weight of the teacher’s data literacy index is determined. The experimental results show that the proposed method is accurate and effective.

A Dynamic Econometric Analysis of Urbanization and Ecological Environment in Silk Road Economic Belt

On the basis of the construction of urbanization and ecology index system, this study takes the core area of Silk Road Economic Belt, Gansu, as the research object and creates the coordination evaluation model between urbanization and ecological environment in Gansu; meanwhile, it uses BP neural network to predict the coordinated development of urbanization and ecology in Gansu Province. Finally, the aforesaid model is validated by means of empirical evidence. The results show that Gansu, in the Silk Road Economic Belt, has accelerated its urbanization level in the 10-year period from 2010 to 2019 in the context of the Belt and Road Initiative, especially in Jiayuguan and Lanzhou, mainly due to its industrialization-led urbanization； meanwhile, in terms of coupling degree, most of them are between 0.45 and 0.55, and most of them are out-of-frequency pro-disorder recession type, indicating that under the background of urbanization, the ecology of each city and prefecture in Gansu is also under great pressure. At the same time, through the forecast, Gansu is considered to be in the red light in 2019, as the endangered disorder recession B environmental lagging type, indicating that Lanzhou is facing great ecological pressure, but in general, the relationship between human and land is gradually developing in harmony.

The Teaching Evaluation Index System and Intelligent Evaluation Methods of Vocational Undergraduate Pilot Colleges

In recent years, with the popularization of higher education, quality problems have become increasingly prominent, and government documents often propose that the main task of education reform and development is to improve the quality of higher education. As a result, teaching evaluations have appeared one after another. Although various evaluation activities are carried out dynamically, expert evaluation has proven to be one of the most effective methods to ensure professional quality. This will help improve the quality of human resource development, promote regional economic development, improve the quality assurance system of higher education, and promote the formation of professional skills development mechanisms. This article studies the teaching evaluation index system and intelligent evaluation methods of vocational undergraduate pilot colleges, understands the relevant knowledge of the teaching evaluation index system on the basis of literature data, and then, constructs the teaching evaluation system of vocational undergraduate pilot colleges. The constructed system is tested, and the test results show that the error of the results of teacher self-evaluation and student evaluation is controlled within the two, which also verifies that the construction of the teaching ability evaluation index system this time is reasonable and scientific.

Research on the Construction of Comprehensive Evaluation Index System of Agricultural Information Service

Research on the Construction of Comprehensive Evaluation Index System of Agricultural Information Service

Ecological Restoration Strategies for the Topography of Loess Plateau Based on Adaptive Ecological Sensitivity Evaluation: A Case Study in Lanzhou, China

Existing studies related to ecological sensitivity evaluation are comparatively mature; however, few approaches are concerned with distinctive topographical conditions that enable response to specific environmental restoration requirements. In this paper, an adaptive ecological sensitivity evaluation framework is established according to a representative plateau topography (i.e., the Loess Plateau region) via a case study of Gaolan County, China. Through the process of factor selection, index system construction, formula adaption, factor weight determination by analytic hierarchy process (AHP) as well as the support of RS and GIS technology, the ecological sensitivity of the research region has been evaluated and analyzed in combination with land use types and typical gully problems. The results show that high sensitivity areas account for 11.16 percent of the total area in the research region and a tendency for fragmentation in spatial distribution. Forest lands with steep slopes in gullies’ upstream have the highest ecological sensitivity, the proportion of forest and garden land dominated by trees in the highest sensitivity area is around 80 percent. Evidence-based ecological restoration strategies are proposed in terms of the topography of Loess Plateau. This study shows possibilities to adapt existing sensitivity evaluation model for medium-scaled specific topography problems and provides useful clues as a basis for knowledge acquisition that can feed into spatial design, planning and restoration processes.

How to achieve synergy between carbon dioxide mitigation and air pollution control? Evidence from China

• Explores the CO 2 mitigation and air pollution control synergy degree (CASD) in China. • Explores the factors that influence CASD from multiple perspectives. • The CASD was low in general, with obvious spatial differences. • Higher levels of urbanization and innovation can help increase the CASD. Mitigating carbon dioxide (CO 2 ) emission while controlling air pollution is a critical challenge. However, few studies have explored how to achieve synergy between them from a spatiotemporal perspective. In this study, we constructed index system for CO 2 mitigation and air pollution control performances based on China's 30 provinces. Then, we calculated the CO 2 mitigation and air pollution control synergy degree (CASD) of each province from 2005 to 2018 using a synergy model, and based on its output, we further analyzed the spatiotemporal evolution of CASD at national, regional and local levels. Finally, we identified the key factors that affect CASD and their spatial spillover effects. We found that the CASD was low (no synergy or low synergy) and fluctuated from 2005 to 2018. CASD showed significant spatial variation: the high values appeared mainly in the southern region, and the northeastern region had the worst synergy. Furthermore, the CASD is influenced by many factors, including urbanization, industry, economy, energy, innovation and neighboring areas, driving temporal patterns and regional differences. Therefore, transdepartment and transregional synergistic governance should be implemented. Our findings provide policy references for central and local government to achieve this synergy and thereby support efforts to achieve sustainable development.

Construction and Empirical Analysis of Citizens' Water Literacy Evaluation Index System: A Structural Equation Model

This study draws on the existing water literacy evaluation system and the weight of each indicator to construct a three-dimensional theoretical analysis framework of water knowledge, water attitude, and water behaviour. Based on the constructed evaluation index system, research hypotheses were proposed, questionnaires designed, and areas of Beijing, Zhengzhou, Hechi, Qingtongxia selected for investigation. According to the constructed structural equation model of citizen water literacy, the influence degree of the influence factors of citizen water literacy evaluation on the path is discussed. The coefficient of the influence degree of each factor on water literacy is obtained. The research results show that: 1) water knowledge has a positive and significant influence on water attitude; 2) water attitude has a positive and significant impact on water behaviour; 3) water behaviour has a positive and significant impact on water literacy. 4) The following two hypotheses, that water knowledge has a positive and significant effect on water behaviour, and water attitude has a positive and significant effect on water literacy, are shown not to hold. The research conclusions can provide a theoretical basis for the water sector to formulate relevant policies to improve water literacy.

Construction of a Comprehensive Mental Health Evaluation System for Clinicians.

Objective To detect problems of mental health disorders early and actively by constructing a comprehensive evaluation system of mental health. Methods The evaluation system was constructed by the Minnesota personality questionnaire (MMPI), the personality questionnaire (EPQ), and the depression experience questionnaire (DEQ). Total 341 interns and residents in a general hospital were investigated with the questionnaire about psychological status, and the results were analyzed by SPSS22.0. Results The KMO was 0.879, and the factor load of the seven factors was 0.49 to 0.856. The cumulative variance contribution reached 72.18%, and the overall consistency coefficient was 0.871. The relationship, emotional disorder, paranoia, reflection, and positive response were 0.893, 0.614, 0.867, 0.771 and 0.621, respectively. In this study, the mental health composite scores of all study subjects met a normal distribution, so level 3 scores of clinical interns and residents were established according to the deviation method. Conclusion The constructed index system contains comprehensive indicators, good reliability efficiency, and a level 3 score, which helps individuals and hospitals to detect problems early, and provide guidance and advice for active intervention.

Construction and Analysis of Governance Evaluation Index System of Beijing Urban Subcenter Based on System Theory and Information Theory

The construction of subcenters is considered an effective measure to solve the diseases in big cities and improve urban competitiveness. China takes the planning and construction of the Beijing urban subcenter as a major national decision-making deployment. Therefore, the establishment of a scientific and reliable evaluation index system for the urban subcenter is of great significance to the public sector to diagnose urban problems and improve urban performance management. Under the guidance of system theory, this paper establishes the governance evaluation index system of the Beijing subcenter based on the five subsystems: economic subsystem, social subsystem, cultural subsystem, ecological subsystem, and administrative subsystem, and 29 secondary indicators. After comprehensively examining the panel data of the overall Beijing urban system during the construction of the subcenter (2010–2019), the entropy method is used to objectively assign the value of the Beijing urban subcenter (Tongzhou District), and it is compared with other 15 municipal districts. The derivation of the development dynamic evolution of the Beijing urban subcenter is completed through the geospatial visualization and the linear regression fitting. It is found that the comprehensive index of urban subcenter governance in Beijing shows an upward trend year by year and has developed by leaps and bounds under the promotion of the central policy. Driven by Beijing’s subcenter strategy, the development model of the whole of Beijing has moved from a typical center diffusion model to a dual center to a subcenter and even a diversified development pattern. This paper proposes to lead urban development with the concept of high-quality development, adhere to innovation-driven, improve urban comprehensive carrying capacity through urban software and hardware construction, and realize regional coordinated development on a larger spatial scale.

Selection of Agricultural Machinery Based on Improved CRITIC-Entropy Weight and GRA-TOPSIS Method

In view of the problems existing in the process of agricultural machinery selection, such as inadequate decision-making information, strong subjectivity and quantification difficulty of the index weight assignment, and accuracy deficiency of the selection results, a model on the selection of agricultural machinery based on the improved CRITIC-entropy weight and GRA-TOPSIS method was established in this study. Through analysis, based on the construction of a comprehensive evaluation index system for the selection of agricultural machinery, the combined weight value was determined by combining the weights obtained using the improved CRITIC method and the weights obtained using the entropy weight method. The grey relational analysis method was also combined with the TOPSIS method. The power machinery combination with 88.2 and 73.5 kW of the 68th Regiment of the Fourth Division of Xinjiang Production and Construction Corps was used as an example for verification to determine the optimal power machinery combination. Results indicated that the ranking results were consistent, and the GRA-TOPSIS method was of the greatest degree of discrimination, which was conducive to the selection and evaluation of agricultural machinery equipment. Moreover, the equipment selection results were determined after the comprehensive ranking of machinery types under the different subjective preferences of decision makers was performed.

Evaluation Algorithm of Skilled Talents’ Quality Based on Deep Belief Network Model

In order to solve the problem that the evaluation algorithm is easy to fall into local extremum, which leads to slow convergence speed, a skilled talent quality evaluation algorithm based on a deep belief network model was designed. Establish an evaluation set with 4 first level indicators and 14 second level indicators, and calculate the corresponding weights to complete the construction of the evaluation index system. A DBN structure composed of several RBMs and a BP network is constructed. Based on the DBN, a quality evaluation algorithm is designed. The algorithm training is used to evaluate the test data and output the evaluation level. The experimental results show that the convergence speed of DBN based evaluation algorithm is significantly better than that of BP neural network and SVM based evaluation algorithm under the same number of iterations, which is suitable for the accurate evaluation of talent quality.

Construction of Influenza Early Warning Model Based on Combinatorial Judgment Classifier: A Case Study of Seasonal Influenza in Hong Kong.

ObjectiveThe annual influenza epidemic is a heavy burden on the health care system, and has increasingly become a major public health problem in some areas, such as Hong Kong (China). Therefore, based on a variety of machine learning methods, and considering the seasonal influenza in Hong Kong, the study aims to establish a Combinatorial Judgment Classifier (CJC) model to classify the epidemic trend and improve the accuracy of influenza epidemic early warning.MethodsThe characteristic variables were selected using the single-factor statistical method to establish the influencing factor system of an influenza outbreak. On this basis, the CJC model was proposed to provide an early warning for an influenza outbreak. The characteristic variables in the final model included atmospheric pressure, absolute maximum temperature, mean temperature, absolute minimum temperature, mean dew point temperature, the number of positive detections of seasonal influenza viruses, the positive percentage among all respiratory specimens, and the admission rates in public hospitals with a principal diagnosis of influenza.ResultsThe accuracy of the CJC model for the influenza outbreak trend reached 96.47%, the sensitivity and specificity change rates of this model were lower than those of other models. Hence, the CJC model has a more stable prediction performance. In the present study, the epidemic situation and meteorological data of Hong Kong in recent years were used as the research objects for the construction of the model index system, and a lag correlation was found between the influencing factors and influenza outbreak. However, some potential risk factors, such as geographical nature and human factors, were not incorporated, which ideally affected the prediction performance to some extent.ConclusionIn general, the CJC model exhibits a statistically better performance, when compared to some classical early warning algorithms, such as Support Vector Machine, Discriminant Analysis, and Ensemble Classfiers, which improves the performance of the early warning of seasonal influenza.

Construction of the Evaluation Index System for Nurse Deployment Pertaining to the Disaster Rescue.

Based on the Delphi method, the analytic hierarchy process, and the entropy method, this paper constructs the evaluation index system for nurse deployment pertaining to the disaster rescue in military hospitals to furnish the reference evidence for scientific deployment of nursing staff, thereby promoting the rescue supportability. This paper establishes the expert consultation form of the evaluation index system for nurse deployment pertaining to the disaster rescue in military hospitals through expert interviews, group discussions, and so on. The Delphi method is applied to enquire 20 military experts in different professional fields two times, and the evaluation index system is finally determined. The weights of evaluation indexes of disaster rescue nurses are determined by the analytic hierarchy process and entropy method. The construction of the evaluation index system for the deployment of disaster relief nurses in military hospitals through Delphi method, analytic hierarchy process, and entropy method provides a reference method for rational allocation of nurses and points out the key points of hospital training. In addition, this paper provides a reference for the assessment and selection of nurses related to disaster relief in military hospitals and lays a foundation for the construction of subsequent evaluation models, which is of great significance for improving the level of nursing teams.

Performance Evaluation and Management Method of Music Tutoring Schools Based on Analytic Hierarchy Process

On the basis of summarizing the relevant theories of performance management at home and abroad, the important role, significance, and development trend of performance management in music tutoring schools are analyzed. Starting from the actual management of music tutoring schools, taking a music tutoring school as an example, this article comprehensively analyzes the current situation of the school’s performance assessment. Considering that the constructed index system is a multilevel comprehensive index system, the analytic hierarchy process is used to give weight to the index. The calculation method and calculation steps are described in detail, and the weight of each index is obtained. Through the design and implementation of the school’s performance management system, solid theoretical and institutional support will be provided for the school to achieve sound development in the future. It is expected that the design of this performance can provide reference for such private schools in the country and promote the healthy and sustainable development of private training institutions in China. Let more schools and learners share the nectar and dividends brought by the system reform.

Construction and application of smart city development evaluation index system

Big data makes data sharing possible. The existing database of the government management can realize efficient interconnection, greatly improve the collaborative office capacity of all departments of the government, improve the efficiency of serving the people, and greatly reduce the cost of government management. The most important thing is to provide strong support for government decision-making. His continuous "wisdom" will promote the smart city to be more intelligent and more intelligent. Scientific and more efficient goal. Based on the principle of wisdom, this paper first analyzes and selects 25 important indicators from the four aspects of environment, economy, society and population to establish the indicator system of sustainable urban development; then establishes the evaluation model of urban intelligent growth, and uses the size of the comprehensive index to measure the degree of urban development wisdom. Taking Xi'an as an example, the comprehensive index of the city based on the current development plan is obtained by using the urban smart growth evaluation model, and a new development plan is made for the city by using the urban smart growth evaluation Introduction.

Research on the construction and measurement of inclusive finance evaluation index system

This paper constructs an evaluation index system for the development level of inclusive finance from four dimensions: the availability of financial services, the degree of utilization of financial services, the depth of financial services, and the sustainability of financial services. We use the standard deviation modified G1 combination weighting method to determine index weight and measure the development level of inclusive finance in China’s 31 provincial administrative regions. The research results show that the overall level of development of inclusive finance in China is quite different, and the development of various regions is unbalanced. We should focus on increasing the depth of use of financial services and promote the sustainability of inclusive finance.

The Order Financing Risk Evaluation under the Financial Supply Chain Model Based on the Logistic Model

Order financing, as an innovative business in the financial supply chain model of banks and other financial institutions, has served more and more small and medium‐sized enterprises in recent years, and has also brought new profit points to the financial and logistics industries. Businesses urgently need to carry out relevant risk evaluation research on the risks brought by banks and other financial institutions. Based on this background, this article has carried out relevant research on the construction and evaluation method of the risk evaluation index system of order financing business. Through project research and literature review, the research on the risk evaluation theory and method of order financing carried out by banks and other financial institutions is not perfect. The role‐played in order financing and the key risk variables faced by financial institutions, and innovatively proposed an evaluation method based on the logistics model. Based on the analysis of order financing risk factors, and through literature review and expert interviews, an evaluation index system initially constructed from five aspects: financing companies, downstream core companies, logistics companies, supply chain operations and external environment. Through questionnaire surveys and statistical analysis of the survey results, a complete, qualitied the risk evaluation index system for order financing business was finally determined. Taking the order‐financing project jointly carried out by commercial banks and logistics companies as an example.

Construction of the evaluation index system for soil environment of paddy fields with organic fertilizer supplementation

Construction of the evaluation index system for soil environment of paddy fields with organic fertilizer supplementation

Construction of the Performance Index System of Navigation Confrontation and Research on Its Related Evaluation Methods

Construction of the Performance Index System of Navigation Confrontation and Research on Its Related Evaluation Methods

Construction of Sanda Teaching risk assessment index system using neutrosophic AHP method

To build a strong country, build strong teaching. But teaching surrounding multiple risks. So this paper aims to identify and assess risks in teaching. The assessment risks in sanda teaching is a critical task and contain multiple conflict criteria. So we use Multi-Criteria Decision Making (MCDM). In this paper, we use an Analytical Hierarchy Process (AHP) to rank and compute each criterion's weights. We use five main and twenty sub-criteria. These criteria were evaluated under a neutrosophic environment—an example provided to present the outcomes of the proposed model.