bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategies for Improving the Effectiveness of Party Building Informatization Construction in Higher Vocational Colleges and Universities Driven by Big Data
Authors: Li Ping , Chen Xiuli 
Published: October 2024

Abstract
Party building, as an important part of party work, has also begun to gradually develop towards the trend of efficiency and informationization. The research constructs the party-building information system of higher vocational colleges and universities on the basis of designing and realizing the party-building portal module, party affairs management module, assessment and evaluation module, and party members’ training and learning module. The party-building information system is thoroughly evaluated using the AHP-fuzzy comprehensive evaluation method. The functions of the party-building information management system constructed in this paper are tested by analyzing the average response time of the system, user concurrency, and system throughput. Construct the evaluation index system for party-building information management systems in higher vocational colleges and calculate the index weights. The five subsystems of the party-building information management system are evaluated comprehensively, according to which the suggestions of party-building informationization construction strategies for higher vocational colleges are put forward. The system response time for 10 types of requests of the party building information system in higher vocational colleges designed in this paper is between 36~113ms. The average response time is 1.32 seconds when the number of concurrent users of the system is 750. The throughput of the system is about 900 per second. The operational effectiveness scores of the five subsystems in the party-building information management system lie between 3.554 and 3.709. The scores of the 4 indicators of each subsystem are also average and good. Based on the results of the study, the construction of party-building information sessions in higher vocational colleges and universities should establish a scientific construction awareness, strengthen the synergy, improve the efficiency of party building, and establish a standardized management system.
Optimization of Simulation Effect of Advanced Parametric Modeling Techniques on Foundation Structure in Revit Environment
Authors: Liu Bingyue , Ke Pu , Zhao Lingyi 
Published: October 2024

Abstract
Among the many structures of foundation pit, the pile-anchor support structure has the characteristics of high safety, low cost, not occupying the space of foundation pit and convenient construction, and is widely used in foundation pit engineering. This study constructs an advanced parametric model of the pit structure and carries out the secondary development of the monitoring data visualization plug-in in the Revit software environment to realize the visualization function of the pit structure data. Subsequently, based on the deformation mechanism of the pit structure, after selecting a suitable land principal model, the pit model was successfully imported into ABAQUS for 3D finite element simulation analysis, and the effect of the simulation was optimized based on orthogonal experiments. The optimization results show that the optimal scheme is 0.60m diameter of row piles, 1.5m spacing of row piles, 200kN prestressing force of anchor rods, 15° inclination of anchor rods, and the length of anchor rods are (19m, 21m, 17m). Compared to the original design scheme, the optimized pit structure scheme reduces pit deformation and reduces project cost, which achieves good economic benefits and achieves the purpose of the optimized design.
A Study on Evaluating the Effectiveness of Higher Vocational English Curriculum Reform and Teaching Suggestions Based on Data Analysis
Authors: Hu Xiaoli 
Published: October 2024

Abstract
College English is the public foundation of vocational schools and colleges and an important course to cultivate students’ English oral communication ability. The study reforms the higher vocational English course under EGP+ESP, and on the basis of designing the index system of the reform effect of the English course, the game theory method is utilized to combine the BWM subjective empowerment method and the improved CRITIC method to calculate the comprehensive weights of the indexes. Taking higher vocational institution A as an example, the cloud model theory of data analysis is introduced into the evaluation. Then, the evaluation grade of the reform effect is calculated. The regression analysis model is used to further explore the degree of influence of factors on the reform effect of the higher vocational English course, and to explore the relevant teaching suggestions. The reform effect of the English curriculum in higher vocational college A is between “medium-high effect” and “high effect”, closer to “medium-high effect”, and the index scores are between (78, 94) and (80). The index scores are between (78 and 94). And the effect of reforming higher vocational English course (Z) = 0.155*course objective + 0.253*course content + 0.441*course implementation. College English teaching should be used to improve students’ English application and oral expression abilities and to strengthen students’ competitiveness in employment from the perspective of language communication.
Innovative Methods and Practical Applications of Civic and Political Education Content in Colleges and Universities for the Digital Era
Authors: Zhou Lihong 
Published: October 2024

Abstract
Digitalization has become the biggest variable in the construction of Civic and Political Science classes in colleges and universities and plays an important role in the teaching of Civic and Political Science classes. Based on digitalization technology, this paper proposes a content innovation method for college Civics education, mainly based on the Civics online teaching platform and virtual Civics classroom. The collaborative filtering algorithm is used in the construction of the Civics online teaching platform to design the course recommendation function, collect user ratings and form a matrix, calculate the similarity between users and courses, and utilize the Bayesian machine learning model to carry out the classification calculation of Civics courses. Based on virtual reality technology, head movement depth information obtained by VR HMD is used to obtain augmented data to improve the accuracy of student movement recognition in virtual Civics classrooms. Civics teaching practice was carried out in a university in Jiangxi Province, China, and the Civics performance of the experimental class after practice was higher than that of the control class by 9.18 points, with a p-value of 0.002<0.05, which is a significant difference. After the practice, all the dimensions of Civics learning effectiveness were higher than the control class and showed a significant difference (P<0.05), and all the dimensions of Civics vegetation were also higher than the control class, with the highest difference of 0.62 in the dimension of science ethics.
Application Research of Pattern Recognition of Fusion Knowledge Graph in Complex Scenarios
Authors: Rong Yili , Zhong Anqi , Wu Haibiao 
Published: October 2024

Abstract
Knowledge graphs serve as an effective mode of organizing and managing knowledge in various fields, such as retrieval, updating, and question and answer. As a result, research on their construction method has gained significant attention. This paper is about pattern recognition. To deal with multimodal features, we combine multimodal data sources and use the structure of synergistic attention mechanisms, which are made up of self-attention mechanisms and guided attention mechanisms. The improved multimodal bilinear method is used for the fusion of modal data. Then, a cross-domain knowledge graph cross-embedding method is proposed to perform multi-semantic interactions for all entities and relationships in multiple domains to achieve cross-domain knowledge graph embedding. Finally, we explore the performance of the constructed knowledge graph fusion model by applying it to the problem of plant disease detection in complex scenarios. When we add 10%, 20%, and 30% noise to the image data captured in complex scenarios, the results demonstrate high detection accuracy and robustness, respectively.
Research on the effect of artificial intelligence-based physical exercise on the regulation of college students’ sleep disorders
Authors: Shen Delei 
Published: October 2024

Abstract
This paper proposes a sleep quality monitoring system based on artificial intelligence, whose basic idea is to collect the relevant data during sleep through the sensors installed in the intelligent devices and analyze the sleep characteristics, which include the data of body movement, respiratory data, snoring, etc. Then, under the synergy of this system, we propose a strategy to regulate sleep disorders by combining “artificial intelligence + physical exercise”. Then, under the synergy of this system, we propose a sleep disorder regulation strategy combining “artificial intelligence + physical exercise”. A total of 500 college students in the freshman and sophomore years of X University were selected as research subjects, and the Pittsburgh Sleep Quality Index (PSQI) and Physical Activity Rating Scale (PARS) were used to investigate the current status of the college students’ sleep quality and physical activity and to explore the specific effects of this control strategy. The results showed that the detection rate of PSQI score ≥8 was 179 (35.80%), and the average PSQI score of college students who participated in physical exercise was 8.31±2.34, which was significantly lower than that of college students who didn’t participate in physical exercise, which was 10.21±3.84. Under the combination of the “Artificial Intelligence + Physical Activity” sleep disorder regulation strategy, after the regulation of sleep quality and physical activity, the results were significantly lower than those of college students who didn’t participate in physical activity, which was significantly lower than those of college students who didn’t participate in physical activity. Under the combination of “artificial intelligence + physical exercise”, the average PSQI score after modulation (8.06±2.84) was also significantly lower than the average PSQI score before modulation (14.39±4.18).
Autonomous learning and adaptation of industrial robots using intelligent control algorithms
Authors: Xu Yicen 
Published: October 2024

Abstract
With the continuous advancement of industrial technology and China’s intelligent technology, industrial robots are widely used not only in production and manufacturing industries. This paper presents an autonomous learning robot system, control algorithm, and simulation experiments to study the autonomous learning and adaptation ability of industrial robots. To experiment on the error and tracking trajectory of the industrial robot, the article uses the fuzzy control PID control method based on the traditional learning control system. The results of simulation experiments show that the fuzzy control method in the X, Y, and Z three axes achieved a good control effect, while the speed of the robot arm in the X-axis floats more, while the speed of the robot arm in the Z-axis can reach a maximum of 0.41 m/s. Secondly, when comparing the performance of control algorithms, the fuzzy control PID method has a relatively accurate and stable tracking effect, and the consumption of time is shorter. Finally, the experimental platform for robotic arms is constructed, and the trajectory tracking experiment is carried out according to the fuzzy control PID. Despite uncertainties, fuzzy control PID can still effectively control the robotic arm according to the experimental results. Fuzzy control PID has a significant effect on the autonomous learning and adaptation ability of industrial robots.
A Study on the Discovery and Effective Configuration of Ideological and Political Elements in College Physical Education Courses under the Background of Big Data
Authors: Zhang Wang , Song Xuefei 
Published: October 2024

Abstract
The discovery and integration of Civics and Politics elements in college teaching has become an important way to implement core literacy, and more importantly, it highlights the importance of value in the process of educating people with moral values. This paper utilizes the Delphi method to collect experts’ opinions and revise the indicators of the Civic and Political Elements explored in the physical education curriculum and then utilizes the hierarchical analysis method to calculate the weights of the indicators of the Civic and Political Elements and to check the consistency. Subsequently, based on the teaching objectives, the explored civic and political elements are effectively configured in college physical education courses, and the optimized teaching mode of college physical education courses using big data is established. The results of the study showed that the students in the optimized teaching mode had significant differences (P<0.05) from the students in the traditional teaching group in the 2 physical fitness indicators of 800m/1000m running and lung capacity. Meanwhile, due to the teachers’ conscious cultivation of beliefs and ideals for the students in the optimized teaching group in the process of physical education teaching, a significant effect of the enhancement of Civic and Political Literacy and Physical Education Skills was achieved. This paper provides an effective method for configuring the elements of civics and politics, which provides more possibilities for the integration and development of civics and politics in physical education courses.
An Efficiency Optimization Study of Data Governance Legal Issues in the Framework of Privacy Computing
Authors: Hu Fei , Chen Tingting 
Published: October 2024

Abstract
The rapid development of technologies such as big data and cloud computing provides convenience for people’s production and life but also brings hidden dangers for personal privacy. The study clarifies the legal norms and guarantees of personal information protection (privacy) in countries around the world and, on the basis of this law, adopts the key technologies of privacy computation, such as differential privacy, machine learning, and homomorphic encryption to protect the privacy of information data with symmetric encryption, and constructs a privacy protection computational model based on symmetric encryption. To evaluate the efficiency of this paper’s privacy protection computing model, it is necessary to compare its performance with other privacy computing model algorithms. The output of this paper’s privacy-preserving model is stable on the three datasets, DBLP, PUB, and CITESEERX, with minimal result perturbation and good accuracy performance. The accuracy of this paper’s algorithm at θ =0.5 is 99.8% and 96.8%, respectively, and balances the training efficiency and accuracy. The running time of this paper’s model on DBLP and PUB datasets is 47.5 minutes and 39.6 minutes, respectively, which is more efficient. The privacy-preserving computational model in this paper significantly outperforms other algorithms in terms of system throughput and improves the efficiency of the system’s data processing while reducing the consumption and waste of arithmetic resources.
Research on Data-Driven Public Service Innovation Practice of Rural Tourism Culture
Authors: Zhao Huijuan , Meng Qingxuan , Ma Jinju 
Published: October 2024

Abstract
Data-driven approaches gradually accelerate the development of rural tourism, with sound public service becoming an essential requirement for the development of rural tourism culture. This paper first constructs a data-driven AHP model for rural tourism service evaluation based on the optimization process of power methods and hierarchical analysis algorithms. Second, this paper constructs a rural tourism public service driving force evaluation index system with 2 system layers, 8 indicator layers, and 44 measurement layers, as well as a tourist satisfaction evaluation system with 1 target layer, 7 project layers, and 20-factor layers. Next, we conduct a hierarchical analysis of the innovation driving force in rural tourism and cultural public services within the system. Based on the analysis results, we integrate the two evaluation systems to create a comprehensive rural tourism service driving mechanism. Finally, it proposes a strategy for innovation in rural tourism and cultural public service using data-driven approaches. Financial support is a key factor for rural tourism public services at the current stage of development, and special funds for rural tourism development have become the priority indicators to drive rural tourism public services. The average satisfaction value for the 20 factor-level evaluation indicators ranges from 3.85 to 4.22, with a wide variation in their importance. F12 and F2 have significant importance coefficients of 4.38 and 4.34, respectively. The standard deviation values of the satisfaction and importance coefficients fluctuate between 0.32 to 1.76 and 0.47 to 1.24, respectively. This paper emphasizes the importance of the results for innovation in public services in rural tourism.
Research on Intelligent Teaching Methods of Chinese Culture for Emotional Identity Enhancement in Civic and Political Education in Colleges and Universities
Authors: Wang Lili 
Published: October 2024

Abstract
Civic and political education plays an important role in implementing the fundamental task of establishing morality, giving full play to the function of educating people, constructing an all-embracing, all-encompassing and all-encompassing pattern of educating people, and cultivating socialist builders and successors who are all-rounded in morality, intelligence, physicality, aesthetics, and labor. By combining the theory of multiple intelligences, this paper constructs a framework for Civic and Political Education that incorporates emotional identity into the teaching stage of each level. In this context, Chinese cultural and emotional identity is taken as the main point of Civics learning knowledge, and an improved multi-interaction Bayesian model is designed to track the state of students’ Chinese cultural and emotional identity in Civics education and a personalized teaching system is constructed with a recommendation algorithm to realize intelligent teaching of Civics. The Civics teaching class based on the Theory of Multiple Intelligence has an average mastery level of above 80% for each Chinese cultural and emotional identity knowledge point in terms of teaching effectiveness. While the average mastery level of the traditional teaching class for each knowledge point is no more than 68%, the personalized teaching of Civics based on multiple intelligence theory can significantly enhance the emotional identity of Chinese culture in Civics education. The purpose of this study is to provide a reference for improving the teaching effectiveness of ideological and political theory classes in colleges and universities.
A Study on the Practice of Professional Ideological Education for Undergraduate Nursing Students under the Perspective of “Three Comprehensive Education”--Taking the School of Nursing of a Medical University as an Example
Authors: Shang Zhuosen 
Published: October 2024

Abstract
Under the guidance of “Three Comprehensive Education,” colleges and universities have achieved certain results. However, in their practical operation, they have encountered several problems. These include the insufficient joint generation of “all-staff education,” the weak overall penetration of “whole-process education,” and the low overall linkage of “all-round education.” This paper takes the professional, ideological education of nursing undergraduates in a medical university as the research object, takes the evaluation of the effectiveness of ideological education as the research basis, takes the theory and practice of “three comprehensive education” as the starting point, and deeply studies the shortcomings of the current ideological education in colleges and universities in the main body, process, and direction of education. We constructed the “2+6+N” quality evaluation index system from two components: the ideological education work (i.e., full staff, the whole process, and all-round) and the ideological education effectiveness (direct effect, indirect effect, and spillover effect) in colleges and universities. From an empirical point of view, a complete set of whole-process quality evaluation implementation systems is constructed, and the AHP method and fuzzy comprehensive evaluation method are used in the evaluation. The results showed that the comprehensive value of the evaluation of the effectiveness of ideological education for nursing undergraduates in a medical university was 75.079, and the results were between satisfactory and average. The evaluation results suggest specific improvement measures for undergraduate colleges to implement ideological education in nursing.
Research on the Application of Natural Language Processing Technology and Optimization of Teaching Strategies in English Translation Education in Colleges and Universities
Authors: Zou Long 
Published: October 2024

Abstract
The national strategy and the goal of cultivating comprehensive translation competence require that English translation teaching in colleges and universities should follow the wave of change and participate in the realization of the increasingly changing higher education teaching goals. In this paper, after applying the model of a multiplexed collaborative self-attention mechanism to encode and process the English utterances to be translated, the encoder-decoder attention mechanism is utilized to align the encoding-enhanced processed English sentences into clauses. The CA-CrossAttention mechanism and Softmax layer realize the automatic processing and translation process of English utterances. Subsequently, on the basis of B/S network architecture, an English translation teaching platform based on natural language processing technology is constructed by combining the automatic translation model, and an optimized teaching strategy is designed with the assistance of the platform. It was found that the student’s English language proficiency scores were significantly higher than those of the initial teaching at the 9th week of the implementation of the optimized teaching strategy (p=0.000<0.01), and the student’s overall English translation learning anxiety behavior was also alleviated to some extent. The students’ overall satisfaction with the environment perception and personal cognition of the teaching platform is high, and they are more agreeable to the evaluation and optimization suggestions of the platform’s feedback content. The purpose of this paper is to promote the reform of English translation teaching and the development of English majors, as well as guarantee the output of excellent talents in English translation.