Objective Comprehensive Evaluation Research Articles

Effect of digital finance on inclusive green growth through technological innovation

ABSTRACT Inclusive green growth is crucial for sustainable economic development. Through subjective and objective comprehensive evaluation methods, this study measures the level of inclusive green growth for 30 provinces in China from 2011 to 2019. On this basis, the study uses multiple empirical methods to analyze the effect of digital finance on inclusive green growth. The results reveal that digital finance significantly promotes inclusive green growth through the mechanism of technological innovation. In addition, the threshold regression model indicates that digital finance has a marginally increasing effect under single threshold constraints of its development level and coverage breadth. However, digital finance has a marginally decreasing effect under the single threshold constraint of traditional finance development level. Finally, a heterogeneity test indicates that digital finance significantly promotes inclusive green growth in regions with low per capita GDP, those with a high agricultural GDP percentage, and central and western regions.

Research on human resource management performance evaluation based on BP algorithm

Abstract With economic globalisation and in the face of increasingly fierce market competition, enterprises must establish an evaluation mechanism that can promote the company’s development and motivate employees to improve performance in order to achieve the company’s strategic goals. In view of the characteristics and problems of enterprise performance appraisal, a performance evaluation method based on artificial neural network (ANN) technology is proposed. This study uses BP algorithm to comprehensively evaluate the performance of enterprises and construct an evaluation network. According to the statistics of 75 power companies in the province from 2018 to 2021, the training was carried out in batches, and the 10-fold cross-validation method was used to find the smallest optimisation value of the error term (average overall relative error) of the test set. The training set is set as 70% and the test set as 30%, and the termination condition is used to end the training process when the training error is <0.0001. This proves that the use of BP neural network for performance evaluation can effectively avoid the influence of subjective factors on the evaluation results, so as to establish a more objective comprehensive evaluation system.

The Research of Chinese Life Insurance Companies’ Operating Performance

The study of operating efficiency of life insurance companies has been the focus of many scholars, and the two main research methods are subjective empowerment and objective empowerment at present. To address this issue and also to combine the operational characteristics of life insurance companies in China. This article establishes a relative and objective comprehensive evaluation index system and uses factor analysis to study the operational efficiency of life insurance companies in China. Twenty-six life insurance companies with two complete operating cycles in the Chinese life insurance market as of 2020 were selected as the research sample. Thirteen indicators were selected to construct a cross-sectional data system to evaluate the operational efficiency of life insurance companies. The results show that Chinese life insurance companies are comparable to joint venture life insurance companies in terms of overall score, business capacity and profitability, with a relatively even distribution of rankings; while joint venture companies generally lag behind Chinese companies in terms of company size and strength and solvency.

A Bibliometric and Visualized Analysis of the Global Literature on Black Soil Conservation from 1983–2022 Based on CiteSpace and VOSviewer

Many scholars have conducted in-depth studies on the research area of black soil conservation (BSC) and produced fruitful research results, but there is still a lack of scientific quantitative analysis and objective comprehensive evaluation of the research results. In order to grasp and clarify the current status of BSC research, we explored the trending topics and frontier issues in this research field, as well as the overall evolution trend from 1983 to 2022. Based on the publication information of BSC topics in the core database of Web of Science (WOS), this study utilized the superior tools in two major bibliometric software; they are the VOSviewer and CiteSpace to draw visual maps, such as collaboration networks and keyword co-occurrence maps, to further analyze the research progress and frontiers. The results are as follows: First, research on BSC began in 1983 and can be divided into three phases: the period of nascent research, steady development, and rapid growth. The subject increasingly became an area of research focus in academia, but gradually produced signs of intersection with other disciplines, such as agronomy, biology, and economics. Second, the distribution of research institutions and countries has become more concentrated, forming geographically small research clusters in typical black soil area countries, such as Russia and China, where the centrality of research institutions is higher than 0.20. Research networks have also been initially established between developed and developing countries, such as the United States and China, with a high centrality close to 0.50. Third, the research content is increasingly cross-cutting and systematic, and the research focus can be divided into five major areas, such as black soil distribution and physical and chemical characteristics. Fourth, the research areas cover agronomy, chemistry, geography and other levels, and a more systematic research system has been formed. In the future, it is still necessary to strengthen the establishment of data monitoring systems in black soil areas, the improvement of black soil information database, the assertion of conservation tillage technology and the strengthening of extreme climate early warning network to maintain the soil nutrient content and to guarantee the sustainable development of agriculture.

Research on Credit Strategy of Small and Medium Enterprises Based on Subjective and Objective Comprehensive Evaluation

In order to study the adjustment of national policies on medium, small and micro enterprises, and to determine the credit risk and credit strategy of banks to medium, small and micro enterprises. Firstly, the enterprise strength and comprehensive reputation of small and micro enterprises are analyzed, and their weight is determined by the subjective and objective comprehensive evaluation method, and the credit risk factors of each enterprise are calculated. A dual objective optimization model was established and solved by simulated annealing algorithm. The optimal profit amount and annual average interest rate of banks for different industries and different categories of credit strategy are obtained. Analytic Hierarchy process and Fuzzy Bayesian network are used to explore the influence of multiple emergent factors on banks adjustment credit strategy.

Research on health assessment of electric power information system based on deep belief networks and cluster analysis

It has been a hot issue for a long time to effectively ensure the safe and stable operation of the power service information system and make a reasonable evaluation of the healthy operation of the power service information system. Without relying too much on the subjective experience and scoring of experts, this paper introduces a health assessment method based on deep belief networks and cluster analysis for the power service information system. Firstly, cluster analysis is used to obtain corresponding cluster centers and evaluation index sets based on the selected evaluation indexes of the information system. Secondly, the entropy weight method is adopted to score different clustering categories and obtain the corresponding health evaluation categories. Finally, based on the score of the healthy operation, the samples are supervised and trained by the deep belief network model, and then the objective comprehensive evaluation of the system is completed. Experiment results show that this model is more accurate than traditional SVM, KNN, random forest and LSTM. The proposed model has theoretical significance and practical value for the healthy operation evaluation of the power service information system.

Evaluation of the comfort of sportswear

Sportswear comfort is a very important content in the evaluation of sportswear design and development. By reading relevant research literature at home and abroad, it is concluded that the commonly used evaluation methods in the study of sportswear comfort are subjective feeling evaluation method, objective evaluation method and subjective and objective comprehensive evaluation method, etc., and the implementation requirements, advantages and disadvantages of different evaluation methods are analyzed. Research shows that the actual performance of sportswear in survey research, is usually subjective feelings and objective evaluation method is used in combination, in the experimental study on the design to improve targeting, as far as possible to improve the effectiveness of the test results, comprehensive analysis of the different test results at the same time, to achieve a comprehensive, scientific, appropriate and accurate evaluation conclusion.

The Impact of Climate Change on Country’s Fragility Assessment

The damage costs of climate change have the potential to cause the breakdown of governmental structures. The paper focuses on how climate change impacts the state’s fragility and how the government should intervene. The paper chooses temperature and rainfall as climate change indicators and establishes a comprehensive evaluating model. The weighting method of the model is determined by combining coefficient of variation method and improved entropy method. The model will output the objective comprehensive evaluation of state’s fragility. The state’s fragilities are quantitatively divided into three levels consisting of the fragile, the vulnerable and the stable in the model. For validation, this paper selects six representative countries and analyzes the degree and the approach of climate change’s impacts on state’s fragility. The fragile values by the model are consistent with the situation in these countries. The state’s fragilities are also predicted by back propagation (BP) neural network. This paper analyzes the impacts of human interventions on improving state’s fragility. The results indicate that the paper could provide reasonable suggestions for the government in the aspects of when and how to take what kind of interventions to improve state’s fragility.

Calculation and Evaluation of Spatial Layout of Circum-Bohai Sea City Innovation Industrial Parks Based on City-Industry Integration

Zhang, W.; He, S.-Y.; Jiang, L.-K.; Huang, J.-B.; Tang, C.-J., and Xu, K.-Y., 2019. Calculation and evaluation of spatial layout of circum-Bohai Sea city innovation industrial parks based on city-industry integration. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 732–737. Coconut Creek (Florida), ISSN 0749-0208.This paper takes the layout of innovation industrial parks in Tianjin City, the economic center of circum-Bohai Sea region, as the research object. At first, based on relevant theoretical research, the paper proposes that the design of the layout evaluation indicators of the innovation industrial parks should follow the system optimization principle and the availability principle. Second, after a discussion on the alternative calculation methods, this paper selects the factor analysis and the entropy method as the main calculation methods, and investigates the inadequacies of these methods. Third, a corresponding evaluation and analysis indicator system is designed; 4 first-level indicators of location factor, infrastructure, innovation ability and social contribution, and 12 second-level indicators are devised to form an evaluation indicator system for layout of the innovation industrial parks in Tianjin; after calculation, objective comprehensive evaluation results are obtained and interpreted. Fourth, multi-criteria and multi-dimensional comparative analysis is carried out to analyze the development of these innovation industrial parks in Tianjin; and the conclusion is that the location advantage and the development status are the main factors affecting the layout of the innovation industrial parks in coastal areas. At last, from the perspective of national and related industries, combined with the results of evaluation and analysis, this paper proposes comprehensive spatial layout recommendations for the problems existing in the layout of innovation industrial parks in Tianjin from aspects of infrastructure, location advantage, and future development trends, etc.

Research on Quality Performance Evaluation of General Aviation Industry Policy Effectiveness Based on Grey Relational Analysis

Based on the operational characteristics of the general aviation industry, this dissertation builds a systematic and perfect index system of general aviation industry policy effectiveness and quality performance evaluation, and evaluates the effectiveness quality of general aviation industry policy by using the multi objective comprehensive evaluation method of grey correlation degree, according to the results of the assessment, the effectiveness of the general aviation industry policy quality analysis. It provides a basis for policy making of general aviation industry.

Research on Investment Decision of Substation Project Based on Life Cycle Cost

In this paper, the life cycle cost theory is applied to the study of investment decision-making of substation engineering, and the scientific, reasonable and objective comprehensive evaluation of substation engineering is realized. Based on the analysis of the calculation method of life cycle cost, a theory-based investment decision model for substation engineering is established. Finally, taking a substation project as an example, it proves that the model can effectively analyse the investment cost of different schemes, objectively reflects the economic differences between schemes, and provides a favorable judgment basis for investment decision-making of Power Grid Substation projects, which has a certain practical value.

The application of the 'Biometriclal Dactylography 17.0' program complex for the digital interpretation of the finger dermatoglyphic features

The objective of the present study was the development of the computer software for the scale-free interpretation of the finger dermatoglyphic features needed for the objective comprehensive evaluation of their principal characteristics in the digital terms. We have elaborated the program complex making it possible to address the following problems: thr formulation of the database of electronic copies of the finger print and toe print images in the family groups, the display of the finger print and toe print images on the screen, marking the points and lines for automated readout of digital angular and metric information or automated calculation of relative values, the formulation of the database of digital information about the papillary patterns on the fingers and toes in the family triplets (farther + mother + child) and its import into an Excel file.

Image Fusion for Mars Data Using Mix of Robust PCA

Multi-sensor image fusion is the process of combining relevant information from high spatial resolution image and high spectral resolution image. This paper proposes a pansharpening method for the fusion of Mars images obtained by the Mars Reconnaissance Orbiter satellite (PAN) and Mars Odyssey satellite (THEMIS MS). The method is based on some mix of Intensity, Hue, Saturation (IHS) and robust principal component analysis (RPCA) combined with the discrete wavelet transformation (DWT). Meanwhile, the results obtained with that of the other fusion techniques are compared, and a relatively objective comprehensive evaluation for fused image is used. Experiments show that the proposed algorithm has a significant suppression of artificial textures and less spectral distortion, and its running time is acceptable.

Correlation analysis between quality characteristics and commercial specifications of Panacis Quinquefolii Radix

This study was aimed to analyze the correlation between commercial specifications of Panacis Quinquefolii Radix and quantitative indexes of sevent kinds of ginsenosides (ginsenosides Rg¹, Re, Rb¹, Rc, Rb₂, Rb₃, Rd) contained in Panacis Quinquefolii Radix by using high performance liquid chromatography (HPLC), explore the correlation between the characteristics of the traditional Panacis Quinquefolii Radix specifications and modern chemical quantitative indicators, and provide a theoretical basis for the quality grade evaluation of Panacis Quinquefolii Radix. The HPLC fingerprint method was used to analyze 40 batches of Panacis Quinquefolii Radix. A total of 19 peaks were marked, and the similarity was above 0.900 for all samples. On this basis, processing methods, product specifications, contents of 7 components, and the total contents of ginsenoside Rg¹, Re and Rb¹ were used as the original variables for cluster analysis and principal component analysis. The results showed great correlation between the quality of Panacis Quinquefolii Radix and the information on their origins, but the difference was less with the characteristics of traditional commercial specifications, indicating some limitations in the division of commercial specifications of Panacis Quinquefolii Radix. The results revealed the intrinsic relationship between the product specifications, traditional qualitative indexes, and quantitative indexes of chemical components of Panacis Quinquefolii Radix, providing a new idea for the objective comprehensive evaluation of the quality of Panacis Quinquefolii Radix.

An approach using multi-factor combination to evaluate high rocky slope safety

Abstract. A high rocky slope is an open complex giant system for which there is contradiction among different influencing factors and coexistence of qualitative and quantitative information. This study presents a comprehensive intelligent evaluation method of high rocky slope safety through an integrated analytic hierarchy process, extension matter element model and entropy weight to assess the safety behavior of the high rocky slope. The proposed intelligent evaluation integrates subjective judgments derived from the analytic hierarchy process with the extension matter model and entropy weight into a multiple indexes dynamic safety evaluation approach. A combined subjective and objective comprehensive evaluation process, a more objective study, through avoiding subjective effects on the weights, and a qualitative safety assessment and quantitative safety amount are presented in the proposed method. The detailed computational procedures were also provided to illustrate the integration process of the above methods. Safety analysis of one high rocky slope is conducted to illustrate that this approach can adequately handle the inherent imprecision and contradiction of the human decision-making process and provide the flexibility and robustness needed for the decision maker to better monitor the safety status of a high rocky slope. This study was the first application of the proposed integrated evaluation method in the safety assessment of a high rocky slope. The study also indicated that it can also be applied to other similar problems.

Research on Subjective and Objective Comprehensive Evaluation Method Based on AHP and Rough Set

In the process of comprehensively evaluating multi-object and making decision, the evaluation method is an important factor that leads the evaluation results. In this paper, we discuss a subjective and objective comprehensive evaluation method based on AHP and rough set, by using which, the weight is determined and the comprehensive weight of the attribute is calculated. Then the data is analyzed by weighted method to obtain the overall ordering results. Finally, we analyze practical examples by the implemented program and verify the effectiveness of the proposed approach.

Evaluation of facial attractiveness for patients with malocclusion: A machine-learning technique employing Procrustes

To establish an objective method for evaluating facial attractiveness from a set of orthodontic photographs. One hundred eight malocclusion patients randomly selected from six universities in China were randomly divided into nine groups, with each group containing an equal number of patients with Class I, II, and III malocclusions. Sixty-nine expert Chinese orthodontists ranked photographs of the patients (frontal, lateral, and frontal smiling photos) before and after orthodontic treatment from "most attractive" to "least attractive" in each group. A weighted mean ranking was then calculated for each patient, based on which a three-point scale was created. Procrustes superimposition was conducted on 101 landmarks identified on the photographs. A support vector regression (SVR) function was set up according to the coordinate values of identified landmarks of each photographic set and its corresponding grading. Its predictive ability was tested for each group in turn. The average coincidence rate obtained for comparisons of the subjective ratings with the SVR evaluation was 71.8% according to 18 verification tests. Geometric morphometrics combined with SVR may be a prospective method for objective comprehensive evaluation of facial attractiveness in the near future.

Application of Water Resources System Analysis Method in Optimal Allocation of Water Resources

Elaborate the optimal allocation of water resources system connotation, significance and the role of the sustainable utilization of water resources. Based on the water resources system analysis, discusses the system analysis method of water resources and the steps and mathematical model, and the linear programming model for the optimal allocation of water resources in the mathematical model, based on the fuzzy mathematics and the theory of multiple objective decision-making, fuzzy comprehensive evaluation combined with analytic hierarchy process, with the set value statistical and fuzzy membership function of indexes are calculated, determine the evaluation matrix, and then constructs a multi objective comprehensive evaluation model, and using computer to realize the optimal allocation of water resources, to provide a scientific basis.

A standardized guideline-based algorithm coupled with online decision-making tool: the new frontier for efficient management of syncope?

Despite significant progress in the past three decades including the publication of guidelines, the development of several emergency room syncope decision rules and more generic risk scores, and the institution of formal dedicated syncope facilities, the management (diagnosis and therapy) of syncope is still largely unsatisfactory. A Position Paper commissioned by the Canadian Cardiovascular Society1 addresses the quality of evidence of the standardized methods of management of syncope proposed in recent years and gave pragmatic interpretation of strong vs. weak recommendations based on the GRADE system.2 In brief, there is little persuasive evidence that emergency room syncope rules and diagnostic syncope units provide efficient care and improved outcomes. While we congratulate the Canadian colleagues for their objective comprehensive evaluation, we think their conclusions reflect some major pitfalls that persist in the approach to patients with syncope: 1. Difficulty identifying patients at high risk (in particular those at short-term risk). This problem inevitably leads to an increase in the number of inappropriate hospitalizations, tests utilization, and eventually higher costs. 2. High rate of unexplained diagnosis. It seems that the most complex (i.e. with competing possible causes) and potentially severe syncope cases that require specialized treatment remain undiagnosed.3 Indeed, patients with unexplained syncope tend to be older and more frequently have structural heart disease or electrocardiographic abnormalities. Conversely, a diagnosis is more easily obtained in healthy young patients without structural heart disease, who are known to have a favourable outcome. The paradox is that the more we need a precise diagnosis, the more difficult it is to obtain one. 3. High rate of misdiagnosis. Typically patients are asymptomatic at the time of evaluation and the opportunity to capture a …

Objective Evaluation of Electric Power Steering Steering Feel

Based on the electric power steering (EPS) system,subjective evaluation tests of complete vehicle steering feel are carried out. The steering feel objective evaluation indexes such as steering portability, returnability, middle position steering and lane change steering are analyzed respectively. As there is no direct corresponding relation between a single index and the driver’s whole steering feel, the principal component analysis (PCA) method is chosen to obtain uncorrelated objective comprehensive evaluation indices, the subjective steering feel is quantified to objective evaluation index value. The objective evaluation index is validated by drivers’ subjective evaluation. The objective indices make it possible to benchmark EPS steering feel characteristics entirely and improve the prediction in EPS design.