bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Construction of English Translation Teaching System in Colleges and Universities Based on Cluster Search Algorithm
Authors: Zhu Jianxiang 
Published: February 2024

Abstract
In the actual teaching of English translation, problems such as the disconnection of theory and practice and the insufficient perfection of the teaching system have emerged, which greatly affect the development of practical activities of English translation teaching in colleges and universities. This paper establishes the English translation teaching system based on the CIPP evaluation model, and to ensure the objectivity of the weights of evaluation indexes, the weights of the evaluation indexes are solved by cluster search algorithm, and the process of solving the index weights is optimized by using genetic algorithm. Taking ten universities in the university city of S province as the object of investigation, the corresponding questionnaires are designed to obtain the evaluation data, and the quality of English translation teaching is graded comprehensively evaluated, and analyzed through the fuzzy comprehensive evaluation model. The results show that: in the process of constructing the English translation teaching system in colleges and universities, the weight value of the teaching objectives reaches 0.2747, and the weight value of the implementation of the teaching links in the teaching process is the highest at 0.0493, and the use of the fuzzy comprehensive evaluation model can carry out a comprehensive evaluation of the quality of English translation teaching. The English translation teaching system of colleges and universities constructed based on CIPP evaluation model can help colleges and universities to find out the problems of English translation teaching and carry out innovative reforms in a targeted way, to improve the practical power of English translation teaching.
Analysis of English Teaching Quality Evaluation in Colleges and Universities Based on AHP Modeling
Authors: Yan Ting , Zhou Yahong 
Published: February 2024

Abstract
English in colleges and universities is an important subject for learning, so it is especially important to evaluate and analyze the quality of teaching English in colleges and universities. This paper constructs the evaluation system of college English teaching quality based on the AHP model, builds the three-level index model of college English teaching quality by combining the relative importance level of Sta, and then carries out the normalization process to determine the importance degree of the indexes at all levels. Combined with factor analysis and data analysis of the results of the expert consultation on the indicator model to measure the factors affecting the quality of teaching in colleges and universities for the overall evaluation and analysis. From the validation data, it can be seen that there are 24 correlation coefficients above 0.5 and 12 above 0.8 in the model influence factor testing. The standardized factor loadings of each potential variable are all greater than 0.75, and the average variance extractions are all greater than 0.65, effectively verifying the internal consistency and convergent validity of the indicator model. In the validation data of the teaching evaluation system, the individual scores of the three-level indicators are all greater than 90, indicating the effectiveness and appropriateness of the teaching evaluation system. The construction of an English teaching quality evaluation system in colleges and universities is conducive to the improvement of teaching management and a more precise grasp of the improvement of teaching quality.
Effectiveness Evaluation of Employment and Entrepreneurship Education Models in Colleges and Universities Based on Multiple Fuzzy Evaluation System
Authors: Hu Lan 
Published: February 2024

Abstract
Employment and entrepreneurship education in colleges and universities is an urgent need for the national implementation of the innovation-driven development strategy and the promotion of economic quality and efficiency. In this paper, the entropy weight method is used to get the original index matrix for the evaluation of the effect of the employment and entrepreneurship education model in colleges and universities, and then the data are normalized to derive the weight value of the employment and entrepreneurship education model in colleges and universities. The fuzzy evaluation of the M college employment and entrepreneurship education model is derived by using multivariate fuzzy comprehensive evaluation according to the weight value. Lastly, the fuzzy evaluation of three colleges and universities in H is done using the fuzzy comprehensive evaluation model based on entropy weight and multivariate data. The experimental results show that B2 employment and entrepreneurship hard environment, B4 financial guarantee, and B9 student achievement evaluation of M colleges are all poor. After evaluating three colleges and universities in place H, it was found that the fuzzy evaluation results of students and experts in each index were consistent. The students of the 3 colleges and universities in place H were rated by employers in the areas of adventurous spirit, willpower, and crisis management at a score of 0.5-0.6 QC, which needs to be improved. Overall employers’ satisfaction with the entrepreneurial ability of students in these 3 colleges and universities is 0.69, 0.698, and 0.709, respectively, and the employment and entrepreneurship education model of colleges and universities in place H is effective.
Knowledge Graph Based Large Scale Network Security Threat Detection Techniques
Authors: Hu Zhifeng 
Published: February 2024

Abstract
This paper constructs a detection technique for large-scale network security threats based on a knowledge graph, extracts the attack features of network security threats using feature template FT, and combines the CNN layer, BiLSTM layer and CRF layer to establish FT-CNN-BiLSTM-CRF large-scale network security threat detection technique. Network security threat performance evaluation experiments and multi-step attack experiments have verified the detection capability of this paper's method. The recall rate of the method built in this paper in detecting malicious data is about 62.39%, the average F1-Score for normal and malicious traffic detection is 0.7482, and the anomaly score for normal traffic detection is almost 0. The detection performance of this paper's method for multi-step network attacks is superior to that of other methods, and it is capable of detecting malicious attacks quickly. Experiments have proved that the method constructed in this paper can meet the requirements of detection capability and efficiency in large-scale network security threats and has high feasibility and application value.
BiLSTM-FCN based vibration signal diagnosis of smart grid cables
Authors: Fang Chunhua , Zhang Yao , Tao Yuning , Chen Huangxi , Hu Tao , Sun Aoqi 
Published: February 2024

Abstract
Cable faults threaten the safe and stable operation of smart grids, and vibration signal diagnosis research on cables based on artificial intelligence technology can effectively enhance the reliability of smart grids. In order to improve the speed and accuracy of cable defect identification, this paper proposes a partial discharge identification method for cables based on a fully convolutional bidirectional long short-term memory neural network (BiLSTM-FCN). The time-domain characteristics of different working conditions under industrial frequency AC voltage are collected by building a vibration signal-based partial discharge test platform for cables. The Overlap strategy enhances the data set. The BiLSTM layer is introduced to process the one-dimensional time domain waveform signal, and combined with the local detail features extracted by the FCN layer, the data features are more abundant. Thus, a more accurate diagnosis of localized discharge in high voltage cables under different operating conditions. The results show that the diagnostic accuracy based on the BiLSTM-FCN model reaches 92.2%, which is 1.2% and 1.4% higher compared to the FCN model and the BiLSTM model. BiLSTM-FCN model possesses a better recognition effect and faster recognition speed in the identification of partial discharge defects type, which can effectively achieve the automatic detection of abnormal fault nodes of smart grid cables. It is significant for realizing online dynamic evaluation of small portable online monitoring equipment and provides a reference for future related research.
Evaluation and Enhancing Path of the Teaching Quality of English Courses in Colleges and Universities Based on Fuzzy Evaluation Model
Authors: Wang Juan 
Published: February 2024

Abstract
As an important part of the college curriculum, the English course has certain practical significance in the exploration of its curriculum construction. In this paper, we first constructed a teaching quality index system for English courses in colleges and universities, solved the weights of the indexes based on triangular fuzzy hierarchical analysis, and then introduced the theory of topology and simple correlation to improve the comprehensive fuzzy evaluation method for the assessment of the teaching quality of English courses. Finally, an empirical study is conducted to evaluate indicators at every level and their comprehensive quality. According to the study, the first-level indicators have the highest weight of 0.6016 for courses. The teaching quality of English courses in all 20 universities is good, with 53.34% of universities evaluating it as good or above. The teaching quality index of course B among the three English courses is the highest, 81.69. 90% of colleges and universities have received an evaluation grade of medium or above when teaching English courses. Among the indicators, curriculum, teaching, and teaching scholarship were rated as excellent. The evaluation of the course’s pioneering innovation, equipment support, and evaluability was very poor. Optimizing course content, equipment support, and course assessment can improve the quality of teaching English in higher education, according to this study.
Analysis of carrying capacity of higher education based on topological number theory in the context of ecological theory of education
Authors: Dong Huifang , Deng Dapeng , Liang Yusheng 
Published: February 2024

Abstract
This paper focuses on analyzing the educational carrying capacity of colleges and universities by using topological number theory and the educational carrying capacity development index. The scale range of the educational carrying capacity of colleges and universities can be determined by identifying relevant definitions of topological space and some topological invariants. Using the relevant definitions of topological space to divide the college education-bearing intervals of different regions and combining the human development index and imbalance coefficient processing, we construct the formula of the balanced and sufficient development index of college education-bearing capacity, which is used to analyze the education bearing capacity of colleges and universities. Analyze different states of college education carrying capacity based on the college education carrying capacity bearing structure. Examine the educational carrying capacity of colleges and universities by examining their educational resource allocation with the help of human and financial resources. The results show that the teacher-student ratio of the urban function expansion area is 0.052, which is the smallest teacher-student ratio among all the districts, indicating that although the district is rich in teachers’ resources, the balanced and sufficient development index of the educational carrying capacity of colleges and universities in District A and District D is high, and the top two rankings have been maintained for a long period in the process of development, and the index of the balanced and sufficient development of education in District A will be 60 in 2021, which is in the area of the development of higher value of the educational carrying capacity.
Exploring the Reform of College English Teaching from the Perspective of New Liberal Arts
Authors: Qiu Jinyang 
Published: February 2024

Abstract
The construction of new liberal arts requires college English teaching to introduce new concepts, utilize new technologies, and promote students’ effective learning through the intersection of disciplines and curricula, to cultivate integrative talents with innovative and practical abilities. Under the perspective of new liberal arts, this paper integrates deep commonality and uniqueness knowledge mining multimodal clustering, DCUMC algorithmic model and multimodal teaching means to construct a multimodal analysis model framework and reform the English teaching model in colleges and universities. In addition, the information entropy is used to improve the ID3 algorithm to construct multidimensional evaluation indexes for college English teaching, and the improved ID3 algorithm is used for data mining of multidimensional evaluation so that teachers can adjust the teaching progress and difficulty according to real-time and accurate feedback information. Experiments are conducted on multimodal teaching mode and teaching evaluation, and the experimental results show that compared with the traditional teaching mode, the average scores of multimodal English teaching mode after five months are 96 and 85, which is an improvement of 11 points, 69.58%, 67.93%, 56.25%, and 53.79% higher in the ratio of excellent and good evaluations, respectively. Compared to the single teaching evaluation, the multidimensional evaluation points out that the traditional teaching mode needs more designer-student interaction as well as a reduction in the difficulty of the teaching content. In conclusion, the multimodal English teaching model can effectively improve teaching effectiveness and is implementable.
Informationization Construction of Civic Education in Colleges Based on Big Data Technology
Authors: Wu Jingzhi 
Published: February 2024

Abstract
This paper explores the application of big data technology in daily civic education in colleges, and visualizes the data with heterogeneous systems, on which the result is based to design the education evaluation data model. Calculating the total evaluation value of the teachers in the field of Civics and Political Science, combining with the sector area ratio division algorithm to realize the uniform display of scientific research achievements in the field of Civics and Political Science, and completing the construction of the knowledge model of Civics and Political Science education in colleges with above procedures. The appropriate learning path of Civics informatization for the learners is projected with the ant colony algorithm, which is based on the adaptive test ability value of the learners generated from item response theory. The construction of civic education information in colleges is done using big data technology. The results show that after a period of learning in the mode of informatization of Civic and Political Education, the mean value of the students in the experimental class scores 10 points higher than that of the control class learning. Overall students are more agreeable to the role of informatization of Civic and Political Education in colleges and the construction of informatization of Civic and Political Education in colleges has achieved good results.
Teaching English for International Marketing in Business English Majors under the View of Applied Teaching
Authors: Li Xiuqin 
Published: February 2024

Abstract
As one of the core courses of the Business English major, “International Marketing English” integrates business marketing teaching and linguistic teaching, demonstrating interdisciplinary characteristics. At the same time, the course teaching presents a strong inclination to cater to talent cultivation needs of social and economic development, stressing the connection between theory and practice, which is facing strong teaching challenges. The integration of discipline teaching and practical social needs is emphasized in application-oriented teaching, which breaks away from the limitations of traditional teaching. It encourages the strategic advancement of the ‘International Marketing English program for business English majors. From the perspective of ecological education and scenario-based teaching theory, this paper explains the theoretical basis for application-oriented teaching in ‘International Marketing English’. It also proposes methods to promote application-oriented teaching in course teaching, including strengthening the integration of industrial development and talent cultivation, creating teaching scenarios, practicing on designated projects, and adopting diverse modes of evaluation.
A Study of Strategies and Methods for the Application of Sports Nutrition in Fitness Training
Authors: Zhao Xiaopeng , Luo Guangxia , Cao Miao , Wang Xuanfeng , Su Xianghui , Wu Gang 
Published: February 2024

Abstract
Dietary habits are particularly important in fitness training, and a scientific fitness diet needs to be formulated according to the fitness user’s situation, fitness goals and exercise volume. In this paper, a multimodal personalized sports nutrition recommendation model incorporating users’ visual preferences is designed to address the important impact of visual features on the task of sports nutrition recommendation. The user’s visual preference is modeled using the Query-Key-Value attention mechanism, which extracts valuable visual information from their historical data and adds it to textual features. In the sports nutrition program generation part, guided by sports nutrition theory and based on the MMFV model, the sports nutrition program generation method was designed. Then, the multi-objective optimization problem of the sports nutrition scheme is planned and modeled, and a calorie-checking mechanism is added to the multi-objective particle swarm algorithm for the problem of calorie intake not meeting the fitness goal. According to the sports nutrition program recommendation algorithm to improve the three meals diets of the gym participants, through the analysis of relevant data to verify the scientificity of the recommended program. The average intake of protein, vitamin A, vitamin B1 and vitamin C of the fitness participants after the modification increased by 7.4%, 17.77%, 22.33% and 8.46%, respectively, compared with that before the modification. Scapular sebaceous thickness and abdominal sebaceous thickness were reduced by 2.2 mm and 1.47 mm, respectively, compared with the pre-modification period.TC, TG and LDL metabolism were in the normal range, which was significantly different from the pre-modification period (P<0.05).
Construction of a Database for Vocal Music Teaching in Colleges and Universities Based on the Inheritance and Protection of the Central Plains Culture
Authors: Xian Rui 
Published: February 2024

Abstract
Multi-cultural integration is an inevitable path to enhance the inheritance and protection of the Central Plains culture and to innovate the teaching mode of vocal music in colleges and universities. In this paper, we constructed a university vocal music teaching database system based on distributed database, and used semi-connection algorithm to query and optimize the data related to the integration of Central Plains culture into vocal music teaching resources. In order to make up for the defects of the semi-connection algorithm when facing a large number of tuples, the semi-connection algorithm is improved by introducing the idea of symmetric homology to realize the massive data scheduling of the vocal music teaching resources database. For the college vocal teaching database constructed in this paper, the query optimization test and performance test are carried out, and the teaching practice application is carried out with the vocal teaching database. The results show that the query throughput rate of vocal music teaching resources reaches 3.18*103MB/s under Read-only load when the number of running rounds reaches 16 rounds, and when the number of concurrent users of the vocal music teaching database is 1000, the CPU occupancy rate and memory utilization rate are 1.37% and 1.06%, respectively. By integrating Zhongyuan culture into the vocal music teaching database, more than 70% of the students indicated that it could enhance their interest in learning about Zhongyuan culture. The use of technology to realize the integration of vocal music teaching and the culture of the Central Plains provides a new reference for the inheritance and protection of the culture of the Central Plains.
Research on Urban Garden Landscape Planning and Construction Based on Ecological Concepts
Authors: Li Yan , Sun Qingli 
Published: February 2024

Abstract
As an important part of urban ecology, the planning and construction of ecological landscape gardens is an effective way to improve the quality of urban life. The biodiversity of urban gardens is measured using species diversity indicators such as species richness, Simpson, Shan-Wiener, and Pielou evenness in this paper. The landscape single dynamic attitude, landscape comprehensive dynamic attitude and landscape patch transfer matrix were selected to construct a landscape dynamic change model, and the six urban areas of H city were used as the research object to analyze the landscape pattern of vegetation cover in urban gardens and landscapes. The results showed that among the area indexes on the landscape level in the study area of H city from 2018 to 2022, the maximum patch index, patch density and edge density indexes increased year by year, with an increase of 0.24, 3.42 m*hm−2, and 0.21 hm−2, respectively, in five years. Among the aggregation indexes, the effective particle size index showed an increasing trend, with an increase of 4301.3ha2 in 2022 compared with that in 2018, and the aggregation index showed a gradual decreasing trend, with a decrease of 0.4 in 2022 compared to 2018. By analyzing the landscape pattern, the changes in the landscape pattern can be described, and then the internal mechanism affecting the landscape pattern can be determined, which is of significant significance for the study of urban garden landscape planning and construction.
An Exploration of Children’s English Picture Book Translation and Reading Teaching Based on Multiple Intelligences Theory
Authors: He Lihua , Li Yi 
Published: February 2024

Abstract
As far as the current situation of children’s English picture book translation and reading teaching is concerned, there exists the phenomenon that teachers pay little attention to translation and reading teaching, and the teaching effectiveness is low. This paper evaluates the translation and teaching of English picture books to children using the theory of multiple intelligences. The problem of data input and output is solved through the decision-making unit (DMU) as well as the C
2
R model composed of the DEA model. Based on the fuzzy comprehensive evaluation method and the target classification method to evaluate the students’ English learning quality and design the evaluation module, we construct the children’s picture book English teaching model under the combination of the DEA model and the multiple intelligences theory, and at the same time, we take the eight domains of the multiple intelligences theory as the evaluation indexes, combine the fuzzy comprehensive evaluation and the principle of the target classification method to evaluate the student’s learning quality of the English picture book translation and reading to analyze The status quo of children’s English picture book teaching under the theory of multiple intelligences as well as the teaching results, comparing the results of the students in the two classes and analyzing the data results statistically. Students are most interested in reading children’s English picture books when they are between 0 and 2.4. The experimental class has a higher translation skill score than the control class, with an increase of 2.79875, 2.225, and 1.975, and the translation part of the improvement is more effective.