Hierarchical Method Research Articles

Variabilidade genética e estrutura da população em famílias de irmãos-completos de goiabeira via marcadores microssatélites

Abstract: Guava production is a promising activity with great prominence in several regions of Brazil; however, a major obstacle faced by producers is the low number of available cultivars. The present study proposes to estimate and analyze genetic structure and variability, through molecular traits, aiming at the future development of new cultivars. Ninety-four genotypes from 11 full-sib families and the cultivars Paluma, Pedro Sato, and Cortibel 1 were selected for DNA extraction, totaling 97 genotypes. For molecular characterization, 48 pairs of microsatellite primers were used. This information was used to estimate the parameters of genetic diversity, genetic distance, genotype clustering, and the genetic structure of the population. The use of molecular information revealed the existence of genetic variability between the genotypes of the full-sib families and the cultivars. The average number of alleles per locus was 2,542. Expected heterozygosity values ranged from 0.030 to 0.599, averaging 0.401. Observed heterozygosity ranged from 0.010 to 0.577, averaging 0.293. Based on the UPGMA hierarchical clustering method, four groups were formed and crossing is recommended between individuals from groups 1 and 2. Bayesian analysis allowed the distinction of genotypes into only two groups, due to the individuals sharing most of the genomic regions analyzed.

The practice of multi-criteria decision analysis modeling in decision support for landscape planning

Abstract In this paper, after constructing the index system of garden landscape planning, the entropy weight method and hierarchical analysis method are used to combine and assign weights to each index. Using a multi-criterion decision analysis model to establish the decision matrix of landscape planning alternatives, the weighted normative value of each indicator is obtained to obtain the weighted normalization matrix for landscape planning. According to the matrix analysis to get the positive and negative ideal solution of each index, calculate the utility function value between each alternative and the perfect solution, and get the optimal decision-making scheme of landscape planning. The analysis of the three options for landscape planning found that Scheme S2 has the largest utility function value of 0.642, which is considered the optimal scheme. The analysis of the application effect of this scheme found that the proportion of garden green space in the Xinghua garden landscape area increased by 16.23 % compared with 2010, and the proportion of enterprise and institutional land decreased by 5.04 %. The analysis results of this paper show that the multi-criteria decision analysis model plays a highly supportive role in the decision-making of landscape planning, and lays a foundation for the decision-making of the optimal scheme in future landscape planning.

Multi-objective Hierarchical Optimization Method with Decoupling Capability for Hybrid-Magnetic-Circuit Variable Flux Memory Machine

Multi-objective Hierarchical Optimization Method with Decoupling Capability for Hybrid-Magnetic-Circuit Variable Flux Memory Machine

Big Data Analysis Methods for Higher Education Physical Education Teaching Interactive Platform and Its Teaching Effectiveness

Abstract The use of big data comprehensively serves physical education, so that students can clarify their learning situation and make reasonable changes in physical education teaching. In this paper, firstly, we do an analysis and investigation on the application of big data in physical education teaching in colleges and universities, apply the tree hierarchy algorithm to collect the key data indexes of physical education teaching classrooms, and use the SMDA aggregation algorithm to aggregate and analyze the collected key data. The weight of each index system of teaching evaluation is calculated using the hierarchical analysis evaluation method. The role and application of analytical methods in physical education teaching are discussed in the context of big data. This paper constructs a system for evaluating teaching effects, which includes 5 primary indicators and 20 secondary indicators. The evaluation results of the 10-factor index system in the teaching process are divided into five grades to obtain the distribution intervals of excellent, good, medium, qualified, and poor students’ learning performance. The results of data analysis of the attributes of this paper show that the percentages of Cluster l, Cluster 2, and Cluster 3 are 22%, 66%, and 12% respectively. The weights of teaching ability, method, content, attitude, and effect in the actual teaching process were 20.97, 24.29, 24.08, 3.89, and 6.31, respectively. This paper elaborates on the effects and roles of four aspects of the interactive platform Big Data application in physical education teaching and learning in the context of Big Data analytics methods. Ideas for the use of big data analysis methods in sports teaching in colleges and universities are presented.

A Multi-scale Hierarchical Residual Network-based Method for Tiny Object Detection in Optical Remote Sensing Images

A Multi-scale Hierarchical Residual Network-based Method for Tiny Object Detection in Optical Remote Sensing Images

GTHSL: A Goal-Task-Driven Hierarchical Sharing Learning Method to Learn Long-Horizon Tasks Autonomously

GTHSL: A Goal-Task-Driven Hierarchical Sharing Learning Method to Learn Long-Horizon Tasks Autonomously

Research on Comprehensive Evaluation Model of Supply Chain and Logistics Performance Based on Economic Management

Abstract The establishment of a scientific and comprehensive comprehensive evaluation model of logistics performance is of great significance to enhance the cost reduction and efficiency of enterprises and market competitiveness. The research constructs a supply chain and logistics performance evaluation model based on supply chain management and logistics performance and performance evaluation with the help of a balanced scorecard, hierarchical analysis method, and fuzzy comprehensive evaluation method. The supply chain and logistics performance evaluation index system is then weighed and analyzed. The experimental object for investigating the evaluation effect of the constructed supply chain and logistics performance evaluation index system is Y Logistics Company. In the proposed supply chain and logistics performance evaluation index system, the weight of internal operation and customer dimension accounts for 61.2%. Y Express Company’s logistics performance evaluation from 2016 to 2020 shows a steady increase. The increase in customer dimension from 1.54 in 2016 to 9.47 in 2020 was the biggest increase among all indicators. Finally, Company Y performs better in the customer dimension, financial dimension, and internal operation, and its indicators of learning and development and social responsibility score lower. Company Y should increase its logistics digital learning and technological innovation and take the initiative to assume social responsibility.

Application of Balanced Scorecard in Performance Evaluation of Educational Management

Abstract Good or lousy school education management is closely related to students’ growth, so research on the improvement of education management performance has become a hot topic. Taking School H as an example, this study utilizes the balanced scorecard to construct a system for evaluating school education performance at four levels: financial, customer satisfaction, internal operation processes, and learning and growth. Based on this basis, the weights of the educational management performance evaluation indicators at all levels are calculated by combining the entropy method and hierarchical analysis method, and the comprehensive evaluation scores of all indicators are derived. In addition, the multiple concurrent causal relationships and realization paths of the high-level development of educational management are also explored using the qualitative comparative analysis model. The results show that the evaluation score of educational management quality is 4.108, and the scores of each dimension of the secondary indexes are 4.102, 4.05, 4.13, and 4.15, respectively, which are above 4, indicating that the quality of educational management in the sample universities is good. This study provides the implementation steps of balanced scorecard performance evaluation for colleges and universities and, at the same time, provides a reference for other colleges and universities’ performance evaluations.

Research on the Construction of Intelligent Evaluation System of State-owned Asset Management Performance in Higher Vocational Colleges and Universities Based on Data-Driven Approach

Abstract State-owned assets are an important guarantee for the daily teaching and research activities of higher vocational colleges and universities and serve an important role in ensuring the long-term development of higher vocational colleges and universities while also serving as an important task for talent cultivation and discipline development. In this paper, the construction process of the state-owned assets management performance assessment system is studied in depth, and the state-owned assets management level of higher vocational colleges and universities is analyzed by combining the hierarchical analysis method with the comprehensive fuzzy evaluation method. By constructing the index system and judgment matrix, the weights of “asset security level”, “asset management capacity”, “asset operation efficiency” and “asset management effect” are determined. The weights of “asset security level”, “asset management capacity”, “asset operation efficiency” and “asset management effect” are 0.41, 0.19, 0.18 and 0.22, respectively, and the judgment matrix satisfies the consistency test. The constructed index system is used to assess the management of state-owned assets of a higher vocational college, and the quantitative results show that its fuzzy comprehensive evaluation score is 66.6, reflecting the good level of comprehensive management of the school. The scores of specific level 1 indicators show that the school performs well in “asset management capacity” (70.08 points) but in “asset protection level” (66.72 points), “operational efficiency” (63 points) and “asset management capacity” (63 points), the school’s overall management level is good. However, there is still much room for improvement in “asset security level” (66.72 points), “operational efficiency” (63 points) and “management effectiveness” (66.32 points).

Application of Three-Stage Hierarchical Teaching Method in Clinical Teaching of Rehabilitation Department of Traditional Chinese Medicine

Application of Three-Stage Hierarchical Teaching Method in Clinical Teaching of Rehabilitation Department of Traditional Chinese Medicine

Asymmetric structural tuning of industrial MnO2 arrays on a hierarchical lead-based anode for manganese metallurgy

We provide a hierarchical structural tuning method for producing asymmetrical MnO2 with stable catalysis by preventing Pb toxicity as a long-lasting oxygen evolution selective layer on a commercial lead-based anode for manganese electrowinning.

Implementation Mechanism of Industry-Education-Creation Mixed Ownership Industrial College Based on AHP Fuzzy Evaluation Model

Abstract The management of modern industrial colleges is the deepening and developing the fusion of industry-teaching-creation and school-enterprise cooperation talent cultivation mode, which has strategic height and practical significance. This paper establishes the evaluation index system of the implementation mechanism of industrial colleges based on BSC theory. It creates the implementation mechanism model of mixed teaching and learning in industrial colleges. Combining qualitative and quantitative analysis, the hierarchical and fuzzy hierarchical analysis methods are used to construct the hybrid teaching quality evaluation model of industry-teaching-creation. Then the weights of the evaluation indexes of the implementation mechanism of industrial colleges are calculated. The industrial colleges of college A and college B are selected as the research objects to comprehensively evaluate the implementation effect of their mixed industry-teaching-creation teaching. The optimal model is determined by calculating the comprehensive scores of the five industry-education-creation hybrid teaching implementation mechanisms. The study shows that the highest weight of finance is 0.333. The total scores of college A and B are 80.56 and 83.33, and college B has a higher level of industry-teaching-creation hybrid teaching implementation mechanism. The composite score of the co-constructed science and technology park model is 0.233, the optimal mixed teaching implementation mechanism of Industry, education and creativity.

Research on the Cultivation of Cross-border Talents for Art and Design Majors of Virtuous Art Transmission and Creation under the Background of Deep Learning

Abstract In this paper, we design the cultivation program of virtue and art transmission of cross-border talents under the perspective of deep learning, which mainly includes the creation of talent cultivation bases, the construction of the professional layout structure, the complete talent cultivation system, and the practice platform. Then, combined with the construction principles of the evaluation index system, it determines the evaluation index system for the cultivation of cross-border talents of virtue and art transmission and creation of art and design majors in the context of deep learning and then applies the fuzzy hierarchical synthesis analysis method, constructs the evaluation model, and carries out a comprehensive assessment of the designed cultivation program. The results present that the comprehensive score of school-enterprise cooperation in the second-level index is 0.8148, while the comprehensive score of the corresponding first-level index of talent cultivation base is 0.819. The combination of the index scores and weights ultimately results in a score of 0.814 for the talent cultivation program, which indicates that the quality of the talent cultivation program as a whole is at the medium-high level. This study can comprehensively reflect the teaching effectiveness of the cross-border talent cultivation program of Deyi Chuanchuang under the perspective of deep learning, which helps to detect the degree of mastery of students’ professional operational skills and employability.

The Development of Film and Television Industry and the Shaping of Cultural Values: An Exploration from the Perspective of Art History and Theater Aesthetics

Abstract Art history and theater aesthetics carry unique cultural values. This paper uses the hierarchical DEMATEL method to construct the IDR matrix of influencing factors. It obtains the key influencing factors of cultural value shaping art history and theater aesthetics. The fsQCA method is used to explore the influence of cultural value shaping the development of the film and television industry, including art history and theatrical aesthetics, and the related paths are specifically analyzed. The results of the study show that the influence and centrality of “social and cultural consciousness”, “the spirit of the times”, “governmental cultural values,” and “consumer demand The results show that “social and cultural consciousness”, “spirit of the times”, “government cultural values” and “consumer demand” have higher influence and centrality analysis values, and are the key influencing factors in shaping the cultural values of art history and theater aesthetics. 4 key influencing factors have 4 influencing paths on the degree of development of the film and television industry of art history and theater aesthetics, and the consistency is in the range of 0.84-0.95, which is a high influence role. This paper lays a foundation for shaping cultural values in art history and theater aesthetics and provides a reference path for the flourishing development of the film and television industry.

Online and offline hybrid teaching evaluation and monitoring system based on hierarchical analysis method and fuzzy comprehensive evaluation algorithm

Online and offline hybrid teaching evaluation and monitoring system based on hierarchical analysis method and fuzzy comprehensive evaluation algorithm

Research on the integration of university social practice and rural revitalization strategy in the era of Internet plus

Abstract In this paper, we first constructed the social practice parenting path of rural revitalization in colleges and universities and formulated the integration strategy of social practice and rural revitalization in colleges and universities. Then, a ridge regression analysis model was constructed, and the parameters of the model were estimated. Then, based on the regression analysis model, the overall willingness of college students to participate in rural social practice was explored, and the factors affecting college students’ participation in rural social practice were analyzed in terms of rural pull, push, and individual factors. Finally, the evaluation system for the implementation effect of the rural revitalization strategy was constructed using the hierarchical analysis method, and people’s satisfaction with the implementation effect was analyzed. The mean score of college students’ willingness to serve the countryside is 3.33, and the strength of the local government’s publicity of employment policies and the perception of the status of rural work has a significant impact on students’ willingness to practice, with Sig values of 0.012 and 0.013, respectively. The overall effect of the implementation effect of the strategy is better, and the satisfaction degree is 3.105. This study analyzes the main influencing factors of college students’ participation in rural social practice, and provides an insightful and useful tool for contributing to the long-term participation in rural revitalization of college students’ volunteering. Long-term participation in rural revitalization provides corresponding ideas.

Innovation of Core Literacy Evaluation Model for Physical Education and Health Courses in Colleges and Universities under the Guidance of OBE Theory

Abstract Several scholars have taken an interest in core literacy in physical education since the idea was first put forth, making it a contemporary hotspot in the field of school physical education study and development. The innovative design of the evaluation model of the core literacy of physical education and health courses in colleges and universities, which focuses on building the evaluation index system of the core literacy of physical education and health courses, was realized in this study by using the hierarchical analysis method, guided by the OBE theory. Evaluation indexes were chosen and corrected using the Delphi technique and available research. Hierarchical analysis is used to determine the weight coefficients of the indicators, and a consistency test is carried out. The reliability test is then carried out, and the core literacy self-assessment scale is developed. Ultimately, the scale is put to use in real-world situations and its impact is examined. All of the expert research’s index scores are higher than 4.3, their coefficients of variance are less than 0.2, and their indexes are kept. The index weights are doable, and all of the CR values are less than 0.1. The reliability and validity met the required level, as evidenced by the overall Cronbach’s alpha coefficient, KMO value, and Bartlett’s sphere test significance of 0.953, 0.962, and 0.000, respectively. The comprehensive core literacy scores of the survey respondents had a mean of 83.635 and a standard deviation of 9.842, indicating a high overall core literacy level. There are notable differences in the overall score of the basic literacy dimensions assignment depending on gender, grade level, and specialty. This study aims to assess the OBE theory’s applicability to real-world instruction.

A Study on the Application of Service Design Thinking in Enhancing User Experience in Digital Villages - Based on KANO-AHP Modeling

Abstract Based on the KANO model, this paper identifies 27 basic demand items of digital rural services under service design thinking and constructs a rural digital service quality evaluation index system. At the same time, to determine the size of the impact of different demand items on the user’s satisfaction, the weights of all demand items are calculated using the improved AHP hierarchical analysis method. Finally, an empirical analysis is carried out to estimate the overall satisfaction of users based on the evaluation system, on the basis of which the service quality expectations and perceptions are compared respectively. The service quality is evaluated by using the theory of difference in expectations. A regression analysis is also carried out on the relationship between service quality and user satisfaction to explore the degree of influence of service design thinking on digital rural services. The results show that the overall satisfaction is between (3.8 and 4.2), and the mean difference in perceived expectation for each dimension is between −0.46 and −0.276. None of the p-values are significant. This study enriches the research theories and research methods in the field of service design thinking and digital village services and provides theoretical references and methods for subsequent analyses.

МЕТОДЫ УПРАВЛЕНИЯ И ОПТИМИЗАЦИЯ РАСПРЕДЕЛЕНИЯ ЭЛЕКТРИЧЕСКОЙ ЭНЕРГИИ В МИКРОЭНЕРГОСИСТЕМАХ

The article considers modern methods of control and optimization of electric energy distribution in micro-power systems (microgrids). The main attention is paid to various approaches, including centralized, decentralized and hierarchical control methods, as well as intelligent solutions based on artificial intelligence. The optimization methods aimed at increasing the efficiency and sustainability of micro-power systems are analyzed, taking into account the specifics of their operation and external conditions. A comparative analysis of the methods is given, their advantages and limitations in various scenarios of micro-power system operation are revealed.

The Integration Path of Network-Based Ideological and Political Education and Financial Aid-Based Education in the New Era

Abstract How to transform the financial aid work under the financial aid and human development system in colleges and universities from simply “providing financial aid” to primarily “focusing on education, with financial aid as a supplement” for truly achieving poverty alleviation, fostering intellectual growth, and supporting students in pursuing their aspirations, is an area of focus that has long been explored by student work teams in colleges and universities. This paper focuses on the development of a network platform in the new era and designs an integration path for the network ideology and financial support work to address the challenges of the financial support work in colleges and universities. An evaluation index system for the integration path was built with the fuzzy hierarchical analysis method. Based on this system, the coupling coordination degrees of network-based ideological and political education and financial aid-based education are calculated separately in each dimension to assess their synergistic effect. The comprehensive evaluation scores of network-based ideological and political education and financial aid-based education are above 90, indicating the high teaching effectiveness of both kinds of education. The coupling degree of network-based ideological and political education with financial aid-based education falls within the range of [0.912, 0.963], which is within the range of 0.8~1, demonstrating a high-level coupling effect. Additionally, the minimum and maximum values of the range for coupling coordination degree are 0.917 and 0.975, respectively, which both exceed 0.9, reaching a high level of coordination. These results indicate that network-based ideological and political education is well coupled with financial aid-based education, which validates the scientificity of the coordination path for network-based ideological and political education and financial aid-based education.