Results Of Comprehensive Evaluation Research Articles

Urban ecological security pattern construction coupled with risk and service: A case study of Xianyang City, Shaanxi Province, China.

How to combine regional ecological risks and local ecological needs to construct ecological security is one of the main issues of its application in territorial spatial governance and associated with whether it can be effectively applied. Based on the "source" accessibility and the quality of space, we constructed the ecological security pattern of Xianyang City through the way of source-corridor-node. During the construction processes, we combined the cha-racteristics of topography, influencing factors of regional ecological security, and landscape characteristics. We coupled them with morphological spatial pattern analysis (MSPA) and comprehensive evaluation results of ecological resistance, ecological connectivity and ecosystem service value, and superimposed with ecological gradient ana-lysis. The results showed that there were 66 ecological sources, with a total area of 2506.65 km2, accounting for 24.6% of the total area of Xianyang City, which were mainly distributed in the northeast, west and central mountainous areas. There were 106 ecological corridors with a total length of 823.5 km, including potential corridors, water systems, irrigation canal sites, Qinzhidao and other natural and cultural systems, which extended along the ecological source to the northwest and south Weihe River. There were 20 ecological nodes to improve ecological connectivity, which were mainly distributed between second layers of loess tableland and arid mountainous areas with banded distribution in the north part of the city.

AHP-BP fusion model based on university education evaluation model and proposal

In this paper, through the study of the policy and frontier theoretical changes in the educational evaluation of students and teachers in colleges and universities in recent years, a comprehensive analysis is made to summarize the primary indicators about educational evaluation, and then subdivide the secondary indicators downwards to quantitatively analyze and evaluate their rationalization. In order to improve the accuracy and scientific of education evaluation, this study proposes an AHP-BP education evaluation rationalization model based on the fusion of hierarchical analysis (AHP) and BP neural network. Firstly, the hierarchical analysis method is used to construct an evaluation index system, construct a comparison matrix, and after the initial weights of the evaluation indexes are derived from a two-by-two comparison, they are used as the input of the BP neural network. Finally, the BP neural network simulation results are used, and the model quantifies the concept of teaching evaluation indexes into definite data as the input of the network, and the simulation comprehensive evaluation results are used as the output. The hierarchical analysis method has strong subjective factors, and the neural network, by simulating the working principle of the human brain, has functions such as autonomous learning and non-linear transformation, which can effectively exclude randomness and subjectivity, and is an innovation in conducting educational evaluation. Therefore, the learning simulation process of BP neural network eliminates most of the subjective factors of the hierarchical analysis method in the process of continuous iteration, and obtains satisfactory evaluation results It has wide applicability. Finally, we conducted a small sample simulation based on some of the data collected on the Internet, and the results obtained were relatively small in error and met expectations, and the educational evaluation model could be put into use. Based on the AHP-BP education evaluation rationalization model and the understanding of the current situation of education evaluation, three main suggestions are made: 1. Encourage university evaluation to pay more attention to the process, and eliminate utilitarian evaluation indicators should be more decentralized indicator scores; 2. Suggest that the state should supervise in the general direction, and the specific situation of specific schools is different, and make moderate adjustments to the evaluation model; 3. Vigorously support teacher and student co-education The policy of activities to create a corresponding educational atmosphere resonates with the community and can promote the healthy development of university education.

Research on safety evaluation of assembly building construction by integrating entropy power method and network analysis model

Unlike the traditional construction mode of rough operation, assembly building construction implements the concept of green development in terms of energy consumption and environmental adaptability. Although assembly construction can effectively reduce construction energy consumption and improve the environmental resilience of building construction work, there is an urgent need for an effective safety assessment model for construction development due to the imperfect operation system and harsh construction environment in the construction industry. Therefore, the study analyzes the relationship of construction safety factors by using Analytic Network Process (ANP) to filter safety evaluation indexes according to the importance ranking. At the same time, the objective weights of safety indicators were determined by the entropy weight method, and the subjective weights determined by the ANP method were combined to construct the safety evaluation model for the construction of assembled buildings. The experiment shows that the maximum similarity between the comprehensive evaluation results of the model in the simulation of safety evaluation of high-rise residential construction and the actual evaluation criteria is 0.772. The experiment proves the reliability of the evaluation of the model, which reduces the safety loopholes and operation hazards for the construction of assembled buildings.

A spike-trimer protein-based tetravalent COVID-19 vaccine elicits enhanced breadth of neutralization against SARS-CoV-2 Omicron subvariants and other variants.

Multivalent vaccines combining crucial mutations from phylogenetically divergent variants could be an effective approach to defend against existing and future SARS-CoV-2 variants. In this study, we developed a tetravalent COVID-19 vaccine SCTV01E, based on the trimeric Spike protein of SARS-CoV-2 variants Alpha, Beta, Delta, and Omicron BA.1, with a squalene-based oil-in-water adjuvant SCT-VA02B. In the immunogenicity studies in naïve BALB/c and C57BL/6J mice, SCTV01E exhibited the most favorable immunogenic characteristics to induce balanced and broad-spectrum neutralizing potencies against pre-Omicron variants (D614G, Alpha, Beta, and Delta) and newly emerging Omicron subvariants (BA.1, BA.1.1, BA.2, BA.3, and BA.4/5). Booster studies in C57BL/6J mice previously immunized with D614G monovalent vaccine demonstrated superior neutralizing capacities of SCTV01E against Omicron subvariants, compared with the D614G booster regimen. Furthermore, SCTV01E vaccination elicited naïve and central memory T cell responses to SARS-CoV-2 ancestral strain and Omicron spike peptides. Together, our comprehensive immunogenicity evaluation results indicate that SCTV01E could become an important COVID-19 vaccine platform to combat surging infections caused by the highly immune evasive BA.4/5 variants. SCTV01E is currently being studied in a head-to-head immunogenicity comparison phase 3 clinical study with inactivated and mRNA vaccines (NCT05323461).

Effects of Long-Term Use of Organic Fertilizer with Different Dosages on Soil Improvement, Nitrogen Transformation, Tea Yield and Quality in Acidified Tea Plantations.

In this study, sheep manure fertilizers with different dosages were used for five consecutive years to treat acidified tea plantation soils, and the effects of sheep manure fertilizer on soil pH value, nitrogen transformation, and tea yield and quality were analyzed. The results showed that soil pH value showed an increasing trend after a continuous use of sheep manure fertilizer from 2018 to 2022. After the use of low dosage of sheep manure fertilizer (6 t/hm2-15 t/hm2), tea yield, the content of tea quality indicators (tea polyphenols, theanine, amino acid, and caffeine) and soil ammonium nitrogen content, ammoniating bacteria number, ammoniating intensity, urease activity and protease activity showed increasing trends and were significantly and positively correlated to soil pH value, while the related indexes showed increasing and then decreasing trends after the use of high dosage of sheep manure fertilizer (18 t/hm2). Secondly, the nitrate nitrogen content, nitrifying bacteria number, nitrifying intensity, nitrate reductase activity, and nitrite reductase activity showed decreasing trends after the use of low dosage of sheep manure fertilizer and showed significant negative correlations with soil pH value, while the related indexes showed decreasing trends after the use of high dosage of sheep manure and then increased. The results of principal component and interaction analysis showed that the effects of sheep manure fertilizers with different dosages on tea yield and quality were mainly based on the transformation ability of ammonium nitrogen and nitrate nitrogen in the soil, and the strong transformation ability of ammonium nitrogen and the high ammonium nitrogen content in the soil were conducive to the improvement of tea yield and quality, and vice versa. The results of topsis comprehensive evaluation and analysis showed that the most influential effect on the fertilization effect was the ammonium nitrogen content in the soil and long-term treatment with 15 t/hm2 of sheep manure fertilizer had the highest proximity to the best fertilization effect. This study provided an important practical basis for the remediation and fertilizer management in acidified tea plantation soils.

Evaluation, Recognition and Implications of Urban–Rural Integration Development: A Township-Level Analysis of Hanchuan City in Wuhan Metropolitan Area

China has achieved success in implementing the rural revitalization strategy and promoting the development of new urbanization. However, there are still many problems in the research and implementation on urban–rural integration development, such as insufficient research at the township level, unclear recognition of development patterns, and disconnection from land-use planning. Therefore, taking Hanchuan city in the Wuhan metropolitan area as a case study, this research constructs a comprehensive evaluation system of urban–rural integration development based on both on the current and potential level of development, and identifies the spatial characteristics and patterns in the study area. This study found that: (1) The comprehensive evaluation result of urban–rural integration development in Hanchuan City shows that a high level of development units are mainly distributed in the northeast and southwest, and gradually decreases from the northeast and southwest, indicating that towns in the central area are relatively weakly driven by the radiation of the surrounding growth poles. (2) Xiannvshan Street, Makou Town, Chenhu Town, and Xinyan Town with the highest comprehensive evaluation values were selected as the centers of urban–rural integration development in four directions. (3) Four typical patterns of urban–rural integration development, which are town gathering, agro-tourism interaction, industry-trade driven, and agricultural service, are derived by the gravity model and classification assignment method according to their respective centers. (4) According to the urban–rural integration development patterns, land-use strategies such as centralization for promoting linkage level of towns, differentiation for arranging various resources and infrastructures, and demonstration for optimization of experience to the whole area are proposed in a targeted manner. This study has important implications for the preparation and implementation of urban–rural integration development and provides effective planning guidance for promoting social equity and accessibility of facilities in the metropolitan area.

Role of Up-Regulated Transmembrane Channel-Like Protein 5 in Pancreatic Adenocarcinoma.

Pancreatic adenocarcinoma (PAAD) is a malignant tumor responsible for a heavy disease burden. Previously, only one pan-cancer study of Transmembrane channel-like protein 5 (TMC5) showed that TMC5 was highly expressed in PAAD, but the results lacked comprehensive verification, and the mechanism of TMC5 in PAAD was still unclear. For exploring the expression and clinical value of TMC5 in PAAD better, we adopted a comprehensive evaluation method, using internal immunohistochemistry (IHC) data combined with microarray and RNA-sequencing data collected from public databases. The single cell RNA-sequencing (scRNA-seq) data were exploited to explore the TMC5 expression in cell populations and intercellular communication. The potential mechanism of TMC5 in PAAD was analyzed from the aspects of immune infiltration, transcriptional regulation, function and pathway enrichment. Our IHC data includes 148 PAAD samples and 19 non-PAAD samples, along with the available microarray and RNA-sequencing data (1166 PAAD samples, 704 non-PAAD samples). The comprehensive evaluation results showed that TMC5 was evidently up-regulated in PAAD (SMD = 1.17). Further analysis showed that TMC5 was over-expressed in cancerous epithelial cells. Furthermore, TMC5 was up-regulated in more advanced tumor T and N stages. Interestingly, we found that STAT3 as an immune marker of Th17 cells was not only positively correlated with TMC5 and up-regulated in PAAD tissues, but also the major predicted TMC5 transcription regulator. Moreover, STAT3 was involved in cancer pathway of PAAD. Up-regulated TMC5 indicates advanced tumor stage in PAAD patients, and its role in promoting PAAD development may be regulated by STAT3.

Optimal combinations of fluorescent vessel labeling and tissue clearing methods for three-dimensional visualization of vasculature.

Visualization of intact vasculatures is crucial to understanding the pathogeneses of different neurological and vascular diseases. Although various fluorescent vessel labeling methods have been used in combination with tissue clearing for three-dimensional (3D) visualization of different vascular networks, little has been done to quantify the labeling effect of each vessel labeling routine, as well as their applicability alongside various clearing protocols, making it difficult to select an optimal combination for finely constructing different vasculatures. Therefore, it is necessary to systematically assess the overall performance of these common vessel labeling methods combined with different tissue-clearing protocols. A comprehensive evaluation of the labeling quality of various vessel labeling routines in different organs, as well as their applicability alongside various clearing protocols, were performed to find the optimal combinations for 3D reconstruction of vascular networks with high quality. Four commonly-used vessel labeling techniques and six typical tissue optical clearing approaches were selected as candidates for the systematic evaluation. The vessel labeling efficiency, vessel labeling patterns, and compatibility of each vessel labeling method with different tissue-clearing protocols were quantitatively evaluated and compared. Based on the comprehensive evaluation results, the optimal combinations were selected for 3D reconstructions of vascular networks in several organs, including mouse brain, liver, and kidney. This study provides valuable insight on selecting the proper pipelines for 3D visualization of vascular networks, which may facilitate understanding of the underlying mechanisms of various neurovascular diseases.

Dynamic identification of key nodes in active distribution network for operation optimisation requirements

AbstractAccurate and dynamic identification of key nodes that can efficiently improve the safety and economy of active distribution network (ADN) is of great significance for optimising the operation level of ADN with time‐varying characteristics. In this study, a dynamic identification method for the key nodes of ADN operation optimisation requirements is proposed. Firstly, considering the influence of nodes on ADN operation performance, the importance of nodes in the network structure, and the controllable potential of nodes, a multi‐angle key node identification index system is constructed. Secondly, considering the influence of the ADN operation state on node importance, the classification boundary of ADN operation state was set to determine the operation state of the ADN at different times. Thirdly, the order relation analysis method and variation coefficient method were used to comprehensively evaluate the key nodes of the ADN under different operating states. Finally, the technique for order preference by similarity to an ideal solution is used to sort the comprehensive evaluation results of key nodes to achieve the effective identification of key nodes. The effectiveness and feasibility of the proposed method are verified on 33‐bus and 118‐bus test systems considering the time sequence variation in distributed generation and load.

A Comparison of Research Methods to Determine the Sustainability of Mineral Resources in Henan Province Based on Cloud Analysis

In order to improve the fuzzy comprehensive evaluation model of mineral resource sustainability and enhance its scientific and objective nature, in this paper, a cloud model-based risk assessment method is introduced to determine the sustainability of mineral resources in a comprehensive comparison, while using a combination of subjective and objective weighting method combining improved hierarchical analysis and the entropy weighting method. Compared with the previous single-assignment evaluation method, the method used in this paper has the advantages of more reasonable determination of weights, more accurate results and better visualization. On this basis, the combined weight method, cloud model method and hierarchical fuzzy evaluation method are organically combined to conduct a comprehensive evaluation of the sustainability of mineral resources in Henan Province. The case analysis shows that the comprehensive evaluation results of the sustainability of mineral resources obtained according to the method are scientifically reasonable and have important reference value and promotion significance for quantitative research in related fields.

Inter-laboratory comparison analysis of noise measurement in 91 occupational hygiene technical service organizations

Objective: To understand the comparability of noise measurement results of various occupational hygiene technical service organizations in Guangdong Province by conducting inter-laboratory comparison of measuring instruments and personnel operation. Methods: In October 2020, the instrument comparison and personnel comparison among 91 occupational hygiene technical service organizations engaged in noise measurement in Guangdong Province were carried out in the form of fixed-point measurement and simulated workplace measurement, and the results were analyzed and evaluated by using the robust z-ratio score. Results: In the instrument comparison, 6 organizations had 1 or 2 outliers in their z-ratio scores, 2 organizations had 2 problematic values in their z-ratio scores, and a total of 8 organizations (accounting for 8.8%) were judged as unqualified; A total of 83 organizations (accounting for 91.2%) with satisfactory z-ratio scores or only one problematic value were judged as qualified. In the personnel comparison, there were 11 organizations with 1 or 2 outliers in the z-ratio score, and 1 organization with 2 problematic values in the z-ratio score. A total of 12 organizations (13.2%) were judged as unqualified and 79 organizations (accounting for 86.8%) with satisfactory z-ratio scores or only one problematic value were judged as qualified. Through comprehensive judgment, 20 organizations (22.0%) were judged as unqualified, and 71 organizations (78.0%) were judged as qualified. There was no statistically significant difference in the qualified rates of instrument comparison results, personnel comparison results and comprehensive evaluation results of non-private organizations and private organizations (P>0.05). There was no significant difference in the qualified rates of instrument comparison results and comprehensive evaluation results of qualified organizations and unqualified organizations (P>0.05), there was significant difference in the qualified rate of personnel comparison results (P<0.05) . Conclusion: The noise measurement results of some occupational health technical service organizations in Guangdong Province are generally comparable. To carry out inter-laboratory comparison of noise instrument performance and personnel operation ability of occupational hygiene technical service organizations, can comprehensively evaluate the testing process of each organization and find out the problems existing in each organization.

Regional differentiation based on volatile compounds via HS-SPME/GC–MS and chemical compositions comparison of hemp (Cannabis sativa L.) seeds

Cannabis sativa L., has gained increasing attention due to its potential applications in various fields. However, the compositions of hemp seeds from different producing regions are quite different, significantly affects resource utilization. This work conducted the regional differentiation of hemp seeds from Dongbei, Guangxi, Inner Mongolia and Shanxi in China based on the headspace solid phase micro-extraction coupled with gas chromatography-mass spectrometry (HS-SPME/GC–MS) and multivariate analysis. Moreover, the chemical composition, amino acid and fatty acid profiles of hemp seeds and antioxidant activities of hemp protein isolate were evaluated from above four producing regions. The results showed that hemp seeds had large amounts of fat (24.30–34.65%) and protein (21.87–23.40%) with ideal amino acid and fatty acid profiles and large amounts of volatiles. More than 300 volatile compounds were detected, and 35 key contributors to the unique aroma were finally identified out of 110 volatile compounds with odor activity values (OAVs), including 14 aldehydes, 2 ketones, 4 alcohols, 2 esters, 1 acid, 3 aromatics, 5 terpenes and 4 other compounds. The content of alcohols in all hemp seeds was highest and 16 unique volatiles only found in hemp seeds from Shanxi. Meanwhile, the VIP scores indicated that acetic acid, hexanal, hexan-1-ol and eucalyptol contributed the most to the difference among groups. According to the results of fuzzy comprehensive evaluation, the hemp seeds from Shanxi seemed to have the better quality. Therefore, multivariate analysis combined with HS-SPME/GC–MS could effectively distinguish hemp seeds from different producing regions, and thus decipher the geographical characteristics of raw materials.

Application of Partial Connection Number and Subtraction Set Pair Potential in Evaluation of Development Trend of Water Environment Bearing State

Aiming at the uncertainty between the evaluation samples and the evaluation standards in the evaluation of water environment carrying capacity, a five-element connection coefficient evaluation model for water environment carrying capacity based on the set pair analysis theory is constructed, and the partial connection coefficient method and the subtractive set pair potential method are used. The development trend of the water environment carrying state was analyzed, and the method was used in the dynamic evaluation of the water environment carrying capacity in HJ City. The results show that the water environment carrying capacity of HJ city in 2015-2021 is between grades IV and III, and the water environment carrying capacity is poor, but the overall potential is developing from partial antipodal to homogeneous, showing a development trend for the better. According to the comprehensive index evaluation results, targeted suggestions for improving the water environment carrying capacity are put forward. From the analysis, it can be seen that the above dynamic evaluation and analysis results are reasonable and reliable, and the method is intuitive and simple, which can provide a reference basis for the improvement of regional water environment quality.

Mechanism of Rock Burst and Its Dynamic Control Measures in Extra-Thick Coal Seam Mining from below the Residual Coal Seam to below the Gob

Abstract In this paper, aiming at the mechanism and regulation of overburden breakage induced by mining from the residual coal seam to the mined-out area, taking Kuangou Coal Mine as the background, the mechanism of rock burst from the residual coal seam to the mined-out area was revealed through the laws of overburden breakage and its structural evolution, ground pressure appearance, and energy release. The impact risk area is determined by the comprehensive evaluation results of multimethod face impact risk. A roof pressure relief and impact prevention control method using large-diameter empty hole combined with advanced deep hole blasting was formed, and the field verification was completed. The research results show that an obvious inverted trapezoid structure is formed when the residual coal seam of the W1123 working face is mined to the working face under the gob, which is related to the energy release caused by the occurrence of periodic pressure and the rupture of the critical layer. The shock ground pressure of the working face predicted by the neural network is mainly weak shock and medium shock risk; the numerical simulation analysis shows that the shock hazard area of the W1123 face below the solid coal is mainly located in the lower part of the working face near the transportation roadway and the shock below the W1145 gob. The dangerous area is about 32~72 m away from the return air alley. Through the plastic zone distribution and the orthogonal test, the optimal pressure relief scheme for large-diameter holes is 12 m in depth, 300 mm in diameter, and 2 m in spacing. When the blasting angle is consistent with the overlying rock fracture angle obtained from the simulation experiment, a better pressure relief can be achieved. When the bursting angle is consistent with the simulated overburden rupture angle, it has a better pressure relief effect. The pressure relief and anti-scour control method of large-diameter holes combined with advanced deep hole blasting reduce the daily average vibration frequency, energy, incoming pressure, and step distance of working face mining. The safe and efficient mining has a certain reference effect.

Gaussian cloud and TOPSIS based power supply quality evaluation method

The accurate evaluation of power supply quality in the distribution network is regarded as an important way to improve the power quality of the user side and guide the power quality management of the power grid. Thus, a comprehensive evaluation method of the power supply quality based on the Gaussian cloud (GC) and the technique for order preference by similarity to ideal solution (TOPSIS) is proposed in this work. First, multiple evaluation indexes of the power supply quality are customized based on the measurement data of the distribution network and the power supply work order. On this basis, an index conversion method based on Gaussian cloud is adopted to convert the above indexes into Gaussian cloud distribution. Then, a comprehensive evaluation method of power supply quality based on TOPSIS is proposed for converting the similarity between Gaussian clouds into comprehensive evaluation results. Case study on power supply quality in Zhejiang province, China is employed to demonstrate the effectiveness and rationality of the proposed method. The result shows that the power supply quality can be evaluated by proposed method in an objective and reasonable manner.

Multi-Level Comprehensive Assessment of Constructed Wetland Ecosystem Health: A Case Study of Cuihu Wetland in Beijing, China

Wetlands are one of the world’s three major ecosystems. They not only maintain regional ecological balance but also provide an important guarantee for human survival. Wetland ecosystem health assessment serves as the foundation for wetland protection, management, and restoration. In this study, the method for wetland ecosystem health assessment proposed by the United States Environmental Protection Agency (US EPA) was selected and improved to systematically evaluate the health status of the Cuihu wetlands’ ecosystem at three levels. The results revealed that the Cuihu wetlands’ landscape development intensity index was 1.55, the total landscape pattern value was 10 points, and the total score for rapid evaluation was 0.79. Levels I and II indicated that the Cuihu wetlands’ ecosystem was in a good near-natural state. Additionally, level III revealed that ecosystem health is higher in area B than in area A. The Cuihu wetlands were characterized by low species diversity and low distribution of benthic animals and aquatic plants. The comprehensive evaluation results revealed that the Cuihu wetlands’ ecosystem is in a good health. In the future, the health status of the wetland ecosystem should be monitored regularly, the cultivation and propagation of aquatic plants should be strengthened, and effective methods to improve water quality and reduce soil salinity should be used to achieve the best health status of the Cuihu wetlands.

Enhancing the Nutritional and Functional Properties of Auricularia auricula through the Exploitation of Walnut Branch Waste.

As the third most edible fungus in the world, Auricularia auricular needs a lot of sawdust for cultivation; thus, it is a win–win method to develop waste wood sawdust suitable for black agaric cultivation. This study evaluated the growth, agronomic characters and nutritional quality of A. auricula cultured on different ratios of miscellaneous sawdust and walnut waste wood sawdust, and comprehensively analyzed the feasibility of cultivating black agaric with walnut sawdust using principal component method (PCA). The results showed that the macro mineral elements and phenolic substances in walnut sawdust were significantly higher than those of miscellaneous sawdust by 18.32–89.00%. The overall activity of extracellular enzymes reached the highest when the ratio of the substrate was 0:4 (miscellaneous sawdust: walnut sawdust). The mycelia of 1:3 substrates grew well and fast. In addition, the growth cycle for A. auricula was significantly lower for 0:4 (116 d) than for 4:0 (126 d). Then, the single bag yield and biological efficiency (BE) were highest at 1:3. Moreover, the nutrients and mineral elements of A. auricula cultivated in walnut sawdust were significantly higher than that of miscellaneous sawdust, expect for total sugar and protein, and the highest overall value was found at 1:3. Finally, the results of comprehensive evaluation by PCA showed that the D value was the highest when the substrate was 1:3 and the lowest when the substrate was 4:0. Therefore, the substrate ratio of 1:3 was the most suitable for the growth of A. auricula. In this study, the high yield and quality of A. auricula were cultivated by waste walnut sawdust, which provided a new way to utilize walnut sawdust.

Learning Behavior Based on Data Mining Technology

With the release of the Education Informatization 2.0 Action Plan and the rapid development of learning analysis technology, educational data mining becomes a new research direction. Data mining can improve teachers’ teaching methods and students’ learning skills by acquiring information hidden in the educational data. Based on the learning behavior data of college students, this paper uses BP neural network, a data mining method, to predict their comprehensive evaluation results. The results show that there is a close relationship between students’ learning behavior and their comprehensive scores. In addition, models of naive Bayes, logistic regression, and decision tree are established for verification and comparison. Compared with other models, BP neural network model has higher prediction accuracy and better performance. It can serve as an important basis to improve students’ learning methods and teachers’ teaching methods.

Comprehensive Evaluation Method of Supply Chain Logistics System Quality Based on 3D Image Processing Technology

With the rise of manufacturing informatization, many transactions are conducted on the Internet, but the final form of transaction completion is the transaction of actual products, which makes the logistics industry emerge as the times require. How to achieve the optimal allocation scheme and the fastest efficiency in the supply chain has become an urgent problem to be solved. This paper considers the characteristics and advantages of 3D image processing technology, describes the characteristics of 3D image processing supply chain (SC), and analyzes the channels that 3D image technology affects SC. Combining the respective characteristics of fuzzy theory and grey theory, the two theories are combined to develop strengths and circumvent weaknesses to form grey fuzzy theory. Comprehensive evaluation of supply chain logistics capability can achieve better evaluation results. The application of grey theory in this chapter includes constructing the factor set of the evaluation index system and determining the weight matrix of the factor set with the game method. The grey fuzzy evaluation weight matrix (i.e., single index evaluation result) is determined with the grey theory, and the fuzzy comprehensive evaluation result is finally calculated. This paper studies the supply chain logistics capability evaluation and optimization system from the aspects of system analysis, system function module design, and system architecture design and analyzes the overall goal, demand, feasibility, system business process, and data flow of the system construction. At the same time, this paper designs the supply chain logistics capability evaluation and optimization system and shows some functional interfaces. It is of great significance to improve the responsiveness, total inventory level, total cost level, supply chain performance, agility, and flexibility of the supply chain in the new environment.

Comprehensive Evaluation of Power Quality Based on AHM-CRITIC Method

In order to manage the level of power quality more effectively, a comprehensive evaluation method of power quality based on Attribute Hierarchy Model (AHM)- Criteria Importance Through Intercriteria Correlation (CRITIC) is proposed in this paper. Firstly, collect expert opinions and determine the subjective weight of each power quality index based on AHM method. Secondly, the power quality data of monitoring points are counted and processed based on CRITIC method, so as to obtain the objective weight of each index. Then, the comprehensive weight of each power quality index is determined based on the minimum discrimination information method. Finally, according to the standard grading and index comprehensive weight, the comprehensive power quality evaluation of each monitoring point is carried out. Through the analysis of practical examples, it is verified that the proposed method can comprehensively consider the subjective and objective factors and obtain more accurate and comprehensive power quality evaluation results.