Comprehensive Evaluation Score Research Articles

Multi-objective optimisation research of ship form in waves based on Kernel principal component analysis

ABSTRACT In the process of multi-objective optimisation design of ship forms, subjective weighting methods rely on experts’ experience and have a certain impact on the scientificity of results. The objective weighting method can effectively solve this drawback and reduce the interference of human factors. Therefore, this paper proposes a multi-objective optimisation design programme for ship forms based on KPCA method, and constructs a multi-objective optimisation design framework. In this paper, the KPCA method is used to calculate the contribution rate of each indicator for objective weighting, give the comprehensive evaluation score of the optimal solution set and make decisions, solve the technical drawbacks of subjective weighting, and obtain a satisfactory optimal hull form. The results show that the automatic multi-objective optimisation design method proposed in this paper has certain engineering application value, and can provide theoretical basis and technical support for green design and manufacturing of ships.

Influence of different indica rice (Oryza sativa L. subsp. indica Kato) flours on the quality and flavor characteristics of fermented rice cakes

AbstractBackgrounds and ObjectivesFermented rice cake is a common traditional fermented food in China with a crystal clear color, unique flavor, dense honeycomb structure, and soft and delicate texture. As its raw materials are not uniform, different batches often have poor product quality stability and different volatile flavor components. Therefore, this study investigates the effects of different indica rice flours on processing adaptability and their impacts on the flavor characteristics.FindingsThe results show that the seven indica rice flours have significantly different basic compositions and physicochemical properties (p < .05). Specifically, the fermented rice cake prepared with TG2 showed a large specific volume, good elasticity, bright color, high volatile flavor compound contents, and the maximum comprehensive sensory evaluation score. Additionally, partial least squares discriminant analysis was conducted, and three volatile compounds were identified with variable importance for the projection >1 and odor activity value >1 as the criteria, namely, ethanol, styrene, and phenethyl alcohol, which played major roles in forming the overall aroma of fermented rice cakes.ConclusionsThe texture, color, and sensory score of fermented rice cakes are closely related to the basic components of the indica rice flour, and the most popular fermented rice cakes have a specific volume of no less than 2 mL/g, an L* of above 78, and a TPA‐tested elasticity of about 3 mm.Significance and NoveltyThis study may help improve the processing of fermented rice cakes and provide a theoretical basis for their production and flavor control.

Questionnaire survey on hands-on simulation training using a dental humanoid robot (SIMROID®).

A dental humanoid robot, SIMROID®, is able to replicate the actions characteristic of human beings and enable training for communicating with patients and coping with unexpected situations. This study assessed user experiences via a survey questionnaire following hands-on training on the SIMROID®. A total of 112 participants, consisting of 50 high school students who visited AUSD (Asahi University School of Dentistry) to participate in open campus events, 42 fourth-year students at AUSD and 20 dental students from Mexico State Autonomy University, University of Siena and Peking University took the survey. The participants observed the movements and reactions of a SIMROID® robot placed on a dental unit for approximately 20 min after which they completed a questionnaire survey. Both Japanese and English versions of the questionnaire were prepared for local and visiting foreign dental students. The questionnaire comprised 8 items, with a further two items for those undertaking dental training and an open comment field. All participants who observed the SIMROID® completed the questionnaire giving a 100% response rate. Generally, simulation training with SIMROID® was highly appreciated by all participants. The comprehensive evaluation score for SIMROID® was 4.56 ± 0.50 points for high school students, 4.05 ± 0.82 points for students at AUSD and 4.70 ± 0.47 points for foreign dental students, showing all participants had a very positive experience and impression of the SIMROID®. Therefore, simulation training using SIMROID® seems beneficial learning tool.

Effect of Pre-Harvest Calcium Treatment on Post-Harvest Fruit Quality of Nanfeng Tangerine

To investigate the effect of calcium (Ca) application on post-harvest fruit quality in Nanfeng tangerines, this study sprayed three calcium fertilizers (Calbit, Larry 8 Calcium, and Suspended Calcium) before harvesting. The fruit quality was assessed over a storage period of 0–60 d at a controlled room temperature of 20 ± 5 °C. The evaluation methods included principal component analysis (PCA) and linearly weighted summation. Pre-harvest calcium treatments increased the fruit calcium content and maintained higher firmness and shear. Compared to the control group, fruits treated with Calbit exhibited decreased levels of decay, weight loss, and respiration rates. Additionally, they demonstrated higher values of L*, b*, C*, and H° and lower values of a* and CCI. Moreover, the Larry 8 Calcium and Calbit treatments increased the levels of soluble solids, total soluble sugars, titratable acids, and VC content in the fruit. They accelerated the decomposition of tartaric, oxalic, and citric acids in the pulp, promoting the accumulation of sucrose and glucose. PCA and comprehensive evaluation scores indicated that the comprehensive scores assessing the storage quality of Nanfeng tangerine fruits treated with pre-harvest Larry 8 Calcium and Calbit were higher than those of the control group. The highest composite quality scores for Calbit-treated fruits were observed at 40 and 60 d, and the highest scores for Larry 8 Calcium were recorded at other intervals. These findings suggest that pre-harvest calcium application improved the post-harvest fruit quality of Nanfeng tangerines, with Larry 8 Calcium and Calbit emerging as favorable options.

Optimization of ultrasonic-assisted extraction of polyphenols from Salvia deserta Schang flowers based on response surface methodology and deep neural network and analysis of its in vitro antioxidant activities

This study aims to establish the optimization of ultrasound-assisted extraction for active compounds from Salvia deserta Schang flowers. The effect of ultrasonic time, ratio of liquid to material, ethanol concentration, and ultrasonic power on the extraction efficiency of total polyphenols and three phenolic compounds (e.g., rosmarinic acid, caffeic acid, and protocatechuic acid was investigated. Response surface methodology (RSM) and deep neural network (DNN) model was performed to find out the optimum extraction conditions to maximize the output using a comprehensive evaluation score in parallel. Compared with the DNN model, the optimal working conditions of the extraction procedures based on the RSM model achieves the maximum yield of active components in S. deserta Schang flowers while requiring a shorter extraction time, lower energy consumption, and greater cost effectiveness. The optimal extraction process for the active components of S. deserta Schang flowers was determined as follows: 39 min of ultrasonic time, 1:37 (g/mL) ratio of liquid to material, 55% ethanol concentration, and 200 W of ultrasonic power. Additionally, S. deserta Schang flowers exhibited promising antioxidative activity, which was verified through several in vitro antioxidant trials, including DPPH, ABTS, ·OH, and phosphomolybdate method, suggesting their remarkable antioxidant capacity. This findings contribute effective, sustainable and valuable insights into the ultrasonic-assisted extraction of valuable compounds from S. deserta Schang flower, and the more biological activity of compounds from S. deserta Schang flower remains to be further investigated.

The Dynamic Evolution of Chinese-style Modernization Level Measurement

This paper begins with a literature review and then develops an index system through a systematic analysis of the theoretical logic and realistic features of Chinese-style modernization. The study conducts a comprehensive analysis of the panel data of 31 Chinese provinces (municipalities) from 2012 to 2021. The entropy-weighted TOPSIS method is used to calculate the comprehensive evaluation scores of each region in each year and rank them. The study also examines the temporal evolution pattern of the level of Chinese-style modernization in each region, as well as the regional differences, using methods such as Thai Kernel Kernel Density Estimation. The empirical results indicate that the eastern region is leading the country in terms of modernization level. The central region and the three northeastern provinces have similar modernization levels, but the overall level of the central region has increased over the decade, while the northeastern region has shown a decline. The economic modernization construction in the western region faces a contradiction as the region has a relatively small economic scale, a low level of industrial structure, and has not yet transformed its economic construction kinetic energy. This highlights the need for improvement in the region's overall level to keep up with the path of modernization. Based on this, this paper presents policy recommendations aimed at promoting economic development, innovation and entrepreneurship, strengthening social security, and advancing urban-rural integration. The goal is to comprehensively improve China's level of Chinese-style modernization.

A Better Fruit Quality of Grafted Blueberry Than Own-Rooted Blueberry Is Linked to Its Anatomy.

To further clarify the impact of different rootstocks in grafted blueberry, fruit quality, mineral contents, and leaf gas exchange were investigated in 'O'Neal' blueberry (Vaccinium corymbosum) grafted onto 'Anna' (V. corymbosum) (AO), 'Sharpblue' (V. corymbosum) (SO), 'Baldwin' (V. virgatum) (BO), 'Plolific' (V. virgatum) (PO), and 'Tifblue' (V. virgatum) (TO) rootstocks and own-rooted 'O'Neal' (NO), and differences in anatomic structures and drought resistance were determined in AO, TO, and NO. The findings revealed that fruit quality in TO and PO was excellent, that of BO and SO was good, and that of AO and NO was medium. 'Tifblue' and 'Plolific' rootstocks significantly increased the levels of leaf phosphorus and net photosynthetic rate of 'O'Neal', accompanied by a synchronous increase in their transpiration rates, stomatal conductance, and intercellular CO2. Additionally, the comprehensive evaluation scores from a principal component analysis based on anatomic structure traits from high to low were in the order TO > AO > NO. The P50 (xylem water potential at 50% loss of hydraulic conductivity) values of these grafted plants descended in the order NO > AO > TO, and the branch hydraulic conductivity of TO and sapwood hydraulic conductivity of TO and AO were significantly lower than those of NO. Thus, TO plants exhibited the strongest drought resistance, followed by AO, and NO, and this trait was related to the effects of different rootstocks on the fruit quality of 'O'Neal' blueberry. These results provided a basis for a deeper understanding of the interaction between rootstocks and scions, as well mechanisms to improve blueberry fruit quality.

Bacterial inoculants and enzymes based silage cocktails boost the ensiling quality of biomasses from reed, corn and rice straw

This study investigated the effects of bacterial inoculants and enzyme-based silage cocktails on the dynamics of fermentation, microbiome, and nutritional value of silages produced from low-quality biomasses of reed, rice, and corn straw. A 90-day ensiling trial was performed using five distinct combinations of six basal bacterial species (Lactobacillus plantarum, Lactobacillus buchneri, Pediococcus pentosaceus, Aspergillus niger, Bacillus subtilis, and Candida utilis) and three basal enzymes (xylanase, β-mannanase, and glucanase). Each type of biomass was ensiled with six different treatments, including the Control treatment without an ensiling agent, the basal silage cocktail treatment (Mesa), and Mesa with a double dose of A. niger (MesaA), B. subtilis (MesaB), C. utilis (MesaC) and glucanase (MesaG). The “Mesa” contained (per kg silage), 1.0 × 106 CFU of L. plantarum, 1.4 × 107 CFU L. buchneri, 3.0 × 105 CFU P. pentosaceus, 8.0 × 108 CFU A. niger, 1.6 × 106 CFU B. subtilis and 1.0 × 109 CFU C. utilis, three enzymes (5.0 × 104 U xylanase, 2.5 × 103 U β-mannanase, and 1.0 × 104 U glucanase), and 20 mL molasses. Addition of the silage cocktails significantly improved the fermentation and nutritional quality of the reed, corn, and rice straw silages. Notably, the silage cocktails increased (P < 0.01) the contents of crude protein (CP), ether extract (EE), gross energy (GE), lactic acid (LA), ratio of LA to total acids and ensiling comprehensive evaluation scores, and decreased (P < 0.01) the contents of neutral detergent fiber (NDF), acid detergent fiber (ADF) and pH of reed, corn, and rice straw silages. Regarding the silage microbiome, silage cocktails decreased the relative abundance of Enterobacter and Rahnella1, and increased the relative abundance of Leuconostoc. A. niger, and B. subtilis had a strong positive correlation with CP, EE, GE and Lactobacillus, and a negative correlation with pH, Rhizobium, and Rahnella1 in reed, corn and rice straw silages. In comparison, C. utilis had a strong positive correlation with EE, and a negative correlation with pH, Rhizobium, Stenotrophomonas, and Rahnella1. Glucanase was positively correlated with LA, EE and GE, and negatively correlated with pH and Rahnella1. Silage quality characteristics and microbiome did not differ (P > 0.05) due to the composition of silage cocktails. Based on the comprehensive membership function analysis, the silage comprehensive evaluation scores were highest for double doses of B. subtilis and glucanase for reed, corn, and rice straw. This study revealed that silage cocktails upgraded straw silage fermentation and nutritional quality, and provided a practical solution for the optimal utilization of low-quality straw biomass.Graphical

Comprehensive evaluation of energy consumption and carbon emissions of asphalt pavement recycling technology

To assess the energy saving and emission reduction effects of recycling technology, the quantitative analysis of energy consumption and carbon emission of recycled asphalt pavement is conducted of asphalt mixture production, transportation, paving and compaction. Firstly, the calculation model for energy consumption and carbon emissions of recycled asphalt pavement is established during the construction stage. In addition, the energy consumption and carbon emission of four recycling technologies, including the HCPR, HIR, CCPR and CIR, were compared. Finally, the FCE method is used to evaluate the actual effect of energy saving and emission reduction from the perspectives of the ecological benefit and the economic benefit. The research results indicate the most serious stage of energy consumption is the new material production stage, and the most serious stage of carbon emission is the asphalt mixture production stage of recycled asphalt pavement. Taking the HCPR technology as an example are calculated in detail. The energy consumption of the HCPR technology in the four stages of the construction stage was 17.59 MJ, 344.45 MJ, 228.51 MJ and 25.85 MJ, respectively, and the emissions in the four stages of the construction stage were 1307.89 g, 5971.28 g, 19,251.24 g and 1949.82 g, respectively. For different recycling technologies in the construction stage, the energy-saving ratios of HCPR, HIR and CCPR are 13.62%, 9.61% and 19.24% respectively when compared with the typical scheme, which have a certain energy-saving effect. However, the energy consumption of CIR reduced by 43.63%, which the energy saving effect is most significant. Moreover, the emission reduction ratios of HCPR, HIR and CCPR are 2.3%, 9.23% and 1.01% respectively when compared with the typical scheme, the emission of CIR reduced by 30.76%, so the emission reduction effect of CIR is most significant. Furthermore, the comprehensive evaluation score of the CIR technology with the most significant energy saving and emission reduction effect is 0.8021 in terms of ' ecological benefits ' and 0.8074 in terms of ' economic benefits '. In summary, it is recommended to adopt CIR technology in the engineering project, which can achieve the most significant energy-saving and emission reduction effects.

The Application of Geographic Information System in Urban Forest Ecological Compensation and Sustainable Development Evaluation

Urban forests can alleviate the urban heat island effect, improve air quality, and improve residents’ mental health. By studying urban forests, these resources can be better used and managed to create more livable urban environments. Therefore, the urban forest in the Taishan region is taken as the research object, and the ecological compensation and sustainable development of urban forest in Tai’an City are deeply analyzed by GIS. It divided the area into forest land, water bodies, wetlands, grasslands, and shrubs as the basic ecosystem types. And through secondary interpretation and combination, a complete urban forest information database was established. To evaluate the comprehensive benefits of urban forests, the analytic hierarchy process was utilized to establish a corresponding evaluation index system. Based on the assessment outcomes of the comprehensive benefits of urban forests in the area, a standard accounting method for urban forest ecological compensation was proposed. The results showed that each index of the comprehensive benefits of urban forests and the random consistency ratio were both less than 0.1. This indicated that the matrix calculation results of various indicators of urban forest comprehensive benefits had good consistency. At the target level, the comprehensive evaluation score of urban forests in the study area was 7.69. At the factor level, the weight value of the urban forest landscape structure was 0.675, and the comprehensive score was 7.62. The weight value of urban forest comprehensive benefits was 0.325, and the comprehensive score was 7.82. The quantitative weight value of urban forest greening in the study area was 0.6138, with a comprehensive score of 7.57. Based on the analysis of the issues in urban forests and ecological compensation in the research area of Tai’an City, corresponding ecological compensation strategies have been proposed. It is of great value to study the urban forest of Tai’an city, which can help to formulate more effective urban planning and sustainable development strategies. The research results can also provide a valuable reference and inspiration for the improvement of urban forest ecological environment and biodiversity protection in other areas.

A neural probabilistic bounded confidence model for opinion dynamics on social networks

Opinion dynamics (OD) models simulate the evolution of personal opinions using computer science, social dynamics, physics, and complexity science tools on social networks. However, current opinion dynamics models mainly utilize agent-based models to simulate user interactions but still need to leverage large-scale data fully. Social networks typically involve a vast number of users and information, making it difficult for models to capture the complex interactions in real social networks. Additionally, many models overlook the specific mechanisms of user interactions, such as how network individuals influence and interact with one another, resulting in inaccuracies in modeling individual opinion evolution. This paper proposes a novel approach that integrates the probabilistic bounded confidence model (PBC) with deep learning, i.e., Neural Probabilistic Bounded Confidence (NPBC), to tackle these challenges. The NPBC model adopts an attention network, a long short-term memory (LSTM) network, and a feedforward neural network to approximate the evolution of individual opinions within networks. It satisfies the data approximation and the users’ opinion update rule that conforms to the PBC model. This model enhances the understanding of opinion dynamics, helping to develop effective strategies for opinion guidance in social networks. Finally, the proposed NPBC model is evaluated on three synthetic and Twitter datasets. The results demonstrate that the proposed NPBC model performs better than the six baseline methods in predicting user opinions. Compared to baseline models, the model’s accuracy (ACC) and comprehensive evaluation (F1) scores improve by up to 18% and 7%, respectively.

Effects of Foliar Selenium Application on Oxidative Damage and Photosynthetic Properties of Greenhouse Tomato under Drought Stress.

Both drought stress and exogenous selenium (Se) cause changes in plant physiological characteristics, which are key factors affecting crop yield. Although Se is known to be drought-resistant for crops, its internal physiological regulatory mechanisms are not clear. This study analyzed the effects of selenium application (SeA) on antioxidant enzyme activities, osmoregulatory substance contents, and photosynthetic characteristics of greenhouse tomatoes under drought stress and related physiological mechanisms. The results showed that drought stress induced oxidative damage in cells and significantly increased the content of the membrane lipidation product malondialdehyde (MDA) and the osmoregulatory substance proline (p < 0.001) compared with the adequate water supply. The proline content of severe drought stress (W1) was 9.7 times higher than that of the adequate water supply (W3), and foliar SeA increased glutathione peroxidase (GSH-PX) activity, and SeA induced different enzymatic reactions in cells under different drought stresses; catalase (CAT) was induced under severe drought stress (p < 0.01) and was significantly increased by 32.1% compared with the clear water control, CAT. Peroxidase (POD) was induced under adequate water supply conditions (p < 0.01), which was significantly increased by 15.2%, and SeA attenuated cell membrane lipidation, which reduced MDA content by an average of 21.5% compared with the clear water control, and also promoted photosynthesis in the crop. Meanwhile, through the entropy weighting method analysis (TOPSIS) of the indexes, the highest comprehensive evaluation score was obtained for the S5W3, followed by the S2.5W3 treatment. Therefore, this study emphasized the importance of SeA to reduce oxidative damage and enhance photosynthesis under drought stress.

Charting a sustainable tomorrow: Advancing urban low-carbon economies through comprehensive evaluation and promotion.

With the world population growth, energy consumption and the rapid development of industrial economy, a large amount of carbon emissions has brought destruction and threats to the earth's environment on which human beings depend. The development of low-carbon economy has become the consensus of governments all over the world and has been vigorously advocated & promoted. This paper focuses on the top five global GDP nations in 2022: The United States, China, Japan, Germany, and Britain. A comprehensive evaluation index system of urban low-carbon economic development level is constructed from four dimensions: economic development level, environmental quality, energy consumption emission intensity and social development speed by using literature review and field interview. The evaluation measures are determined using the TOPSIS evaluation method with entropy weight and the grey relational model, providing a comprehensive assessment of the low-carbon economy's development level in these five countries." Judging from the comprehensive evaluation score, the overall development of low-carbon economy in American cities is in good condition and has reached the development standard of low-carbon economy; Germany and Japan rank second and third, and they are low-carbon economies. Britain ranks fourth in comprehensive evaluation, although it belongs to a low-carbon economy country, but there is still a certain gap with Germany and Japan; There is still a big gap between China and the other four countries. Based on the measurement and evaluation outcomes, it presents recommendations and strategies to foster the growth of low-carbon economies, offering valuable insights for the advancement of such economies across different nations. The research results guide countries all over the world to reduce carbon emissions in the process of economic development, protect the earth environment on which human beings depend, and make a better tomorrow for sustainable development.

Construction of a Comprehensive Evaluation System for the Core Literacy of Physical Education and Health Courses in Colleges and Universities

Abstract This study actively explores the importance of the joint construction of physical education and health courses in colleges and universities. It emphasizes its positive impact on students’ physical and mental health, talent cultivation and social development. Based on the PDCA model, the article establishes a comprehensive evaluation system, determines the weights of the indicators through the coefficient of variation method, and analyzes the cultivation of core literacy and the influencing factors using fuzzy comprehensive evaluation and structural equation modeling. The validity of the evaluation system is examined and verified with ten colleges and universities in Province L as an example, showing that the comprehensive evaluation score is as high as 95.16 points. This complete evaluation system not only helps colleges and universities to improve the quality of education, but also points out the direction for improving students’ core literacy in physical education and health.

The Path of Enhancement of Traditional Cultural Heritage on Moral Education Based on ADDIE Model

Abstract With the development of society, the importance of Chinese excellent traditional culture to the moral education of college students is becoming more and more prominent. This study explores the application of conventional culture in moral education through the ADDIE model, aiming to improve the quality and effectiveness of moral education. Through the five stages of analysis, Design, development, implementation, and evaluation, the study constructed a moral education effectiveness evaluation index system. The study found that integrating Chinese excellent traditional culture into moral education can effectively enhance college students’ self-confidence, national responsibility and national pride. The empirical survey shows that in the universities adopting this model, the overall satisfaction of college students regarding the effectiveness of moral education reaches 77.90%, and the dissatisfaction is only 1.16%. The comprehensive evaluation score is 4.5731 points, showing a sound effect of moral education. The study’s conclusions that the ADDIE model has asignificantly affects It provides a new perspective and practical path for moral education in colleges and universities.

Optimization of the path of industry-teaching integration in vocational education based on ADDIE model

Abstract The integration of industry and education plays a vital role in the high-quality development of vocational education. The article adopts the ADDIE model to systematically design vocational education and plans the path of industry-education integration by combining the triple helix theory. In addition, a quality evaluation model for integrating industry and education in vocational education is constructed, connecting the fuzzy comprehensive evaluation method and the factor analysis method. The empirical Analysis shows that the extensive evaluation indexes of vocational education have high reliability (more than 0.8), in which there is a positive correlation between teaching ability, teaching management, teaching effect and employability. In particular, the comprehensive effectiveness evaluation score of School M in the practice of industry-teaching integration in vocational education is 4.125, showing a reasonable level. The study verifies the effectiveness of the vocational education industry-education integration model based on the triple helix theory in improving the quality of education, and at the same time provides a scientific basis for the optimization and reform of the path of vocational education industry-education integration.

Research on Regional Tea Tourism Product Development Strategy Combined with RMP Analysis

Abstract Tea culture tourism perfectly combines agricultural economic development and cultural tourism, a new trend in today’s tourism industry development. Based on the life cycle theory of tourist places and RMP theory, this paper comprehensively analyzes the three core dimensions of regional tea culture tourism product development: resources, market and products, using Province F as a case study. In the resource dimension, the combination assignment method containing preference information was used to determine the weights, and the fuzzy comprehensive evaluation model was applied to comprehensively evaluate the tea culture tourism resources. The market dimension analysis covers tea tourism’s development status and the characteristics of tourists’ travel behavior. For the product dimension, a quadrant diagram analysis was conducted using the IPA model by combining tourists’ perceived importance and satisfaction with the product. The study results show that Province F excels in tea tourism product development, with a comprehensive resource evaluation score of 90.756 points. Between 2010 and 2019, the tea tourism market received tourists at an average annual growth rate of 12.28%, reflecting the strong growth momentum of the market. Regarding product development, the average values of tourists’ perceived importance and satisfaction were 3.99 and 3.78, respectively, indicating that tourists’ overall satisfaction with tea tourism products is high. The study will help further enhance the attractiveness and competitiveness of tea tourism products and promote sustainable tourism development.

Exploring the Development Path of Collaborative Education between College Civics Courses and Daily Civics Education Combined with the Theory of Three-Whole Parenting

Abstract As times evolve, ideological and political education in higher education has emerged as a central focus of reforms in this field, marking the synergistic development of these programs as an inevitable trend. This paper addresses the reform requirements of ideological and political education in the contemporary era. It proposes a development path for integrating Civic and Political Programs with ideological and political education in higher education institutions, based on the ‘three-whole-parenting’ theory. Additionally, we construct a comprehensive evaluation system using fuzzy comprehensive evaluation methods to assess the effectiveness of this integrative approach. The systems designed achieved an average response time below 1800ms, indicating strong performance. Student satisfaction with the synergistic path ranges from 4 to 5 points, with an average attitude score of 3.04 and a comprehensive evaluation score for quality of 4.53. This paper demonstrates that the development path for college Civics courses, based on the three-whole-person parenting theory, is effective, ensuring scientifically planned and comprehensively implemented synergistic education.

Constructing a traction model of college students’ willingness to receive career guidance and employment motivation

Abstract In order to better solve the problems of college student’s unwillingness to be employed as well as the difficulty of employment, this paper firstly determines the evaluation indexes of employment guidance and motivation through interviewing college students and experts, constructs the judgment matrix of the evaluation indexes, and carries out consistency test and weight calculation of the judgment matrix by using the fuzzy hierarchical analysis algorithm. Based on the distribution of questionnaires to obtain research data, data analysis software is used to analyze the employment of college students, for example. The data show that the comprehensive evaluation scores of college students’ willingness to accept employment guidance and employment motivation are 3.024433 and 3.468838, respectively, which are between average (3.00) and sound (4.00), indicating that the experts in employment guidance maintain an optimistic attitude towards the evaluation of college students’ willingness to accept employment guidance and employment motivation in this college. The score of female students’ willingness to accept employment guidance (3.68113) is lower than male students’ willingness to accept employment guidance (3.80013), and there is no significant correlation P&gt;0.05. This paper’s research has a significant impact on college students’ employment and sheds light on the employment issue in society.

Sustainable Development and Operational Mechanism Innovation of Educational Management Paths in Colleges and Universities in the Digital Era

Abstract With the continuous integration of digital technology in daily life, the management path of colleges and universities also carries out development and optimization. The triple helix theory of education management model innovation in colleges and universities is the basis of this paper, which builds a model for education management innovation led by schools. An evaluation index system for college education management quality was constructed, taking into account the quality effect demand of education management. On this basis, combining the hierarchical method and cluster analysis method to calculate and classify the weights of the indicators of educational management in colleges and universities, and evaluating the quality of educational management in colleges and universities through the fuzzy comprehensive evaluation method to complete the construction of the indicator system of quality of educational management in colleges and universities. After examining the performance of the evaluation model and the rationality of the indexes, it is applied to the educational management examples to explore the sustainable development path of the educational management path in colleges and universities. The results show that the overall index coefficient is 0.875 and greater than 0.6, and the comprehensive evaluation score of the actual management quality of the triple helix educational management is 4.6826 points out of 5, which verifies the validity and reasonableness of this paper based on the triple helix educational management innovation model. The sustainable development of educational management is positively impacted by its scientific guidance on the innovative direction of university educational management models.