bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Excellence Model and Enhancement Path of Competence of Ideological and Political Teachers in Colleges and Universities in the Context of Informatization
Authors: Teng Jinzhi 
Published: February 2024

Abstract
At present, the competence of Ideological and Political Teachers in colleges and universities does not pay attention to ideology, the training mechanism is not sound, the teaching method is unscientific, and the teaching effectiveness is not strong and other problems. Based on the iceberg model of competency, this paper analyzes the materials of 496 “Influential Pacesetters” and “Influential Figures”, and extracts the relevant information to establish a model of excellence in the competency of college Ideological and Political Teachers. To accurately evaluate the excellence of college Ideological and Political Teachers’ competence, the IFAHP method was used to solve the weights of the assessment indicators, and a model for evaluating the excellence of competence was constructed by the binary semantic method. Taking University Z as an example, the evaluation questionnaire was prepared, and the relevant data of the competence excellence quality assessment indexes were obtained to make a comprehensive evaluation of the excellence quality of Ideological and Political Teachers’ competence. The results show that the excellent quality of college Ideological and Political Teachers’ competence will be affected by political belief and teaching innovation, whose weight values are 0.1439 and 0.1396, respectively. The comprehensive evaluation carried out on the example of Politics Course A teachers of University Z obtains their binary semantic evaluation information (s
4, −0.136) and the evaluation grade is excellent. Competence excellence quality enhancement of college Ideological and Political Teachers under the background of information technology need to optimize their knowledge of political theory and strengthen their Ideological and Political Teachers skills to effectively enhance students’ interest in learning political theory.
Deep learning-based intelligent control of moisture at the exit of blade charging process in cigarette production
Authors: Rui Jinsheng , Qiu Dongchen , Hou Shicong , Rong Jing , Qin Xiaoxiao , Fan Jianan , Wu Kai , Zhao Guoliang , Zhu Chengwen 
Published: February 2024

Abstract
Currently, in the production of cigarettes in the blade, charging export moisture control means is relatively single and can not effectively guarantee the excellent quality of cigarette filament. In this paper, first of all, the working principle of the tobacco blade charging machine is introduced, and the moisture of the tobacco leaf for the charging machine is dynamically analyzed, and the influence of the return air temperature control of the charging machine on the export moisture of the blade charging process is explored. Secondly, based on the traditional PID controller, an adaptive fuzzy PID controller is established by combining adaptive fuzzy rules, and then the stacked noise-reducing self-encoder in deep learning is combined with the adaptive fuzzy PID control to design the intelligent control structure of export moisture of leaf charging process. Finally, the effectiveness of export moisture intelligence control, process capability index, and the effect before and after application were analyzed in controlled experiments, respectively. The results show that the difference between the predicted value and the real value of blade export moisture in this paper’s method is only 0.5%, and the process capability index of this paper’s method is improved by 1.48 compared with the PID controller, and it can control the temperature of the return air of the charging machine in the range of 56.86℃~57.21℃. The intelligent control method of export moisture introduced by deep learning can accurately control the export moisture of the leaf dosing process, which effectively ensures the quality of tobacco filament making.
Empirical Study of AHP-based Evaluation of Civil Aviation English Teachers’ Career Maturity
Authors: Wang Yang 
Published: February 2024

Abstract
The career maturity of aviation English teachers affects the level of aviation English teaching staff and the quality of aviation English teaching, which has a significant impact on the civil aviation education. Using the civil aviation English teachers at the Civil Aviation Flight University of China (CAFUC) as the research object, the Analytic Hierarchy Process (AHP) is adopted to construct an evaluation model and system for the career maturity of civil aviation English teachers. Through questionnaire surveys and data analysis using the AHP, the results show that the overall career maturity of civil aviation English teachers in CAFUC is in the innovation stage, but there is still room for improvement and relevant suggestions are proposed. The aim is to achieve interdisciplinary linkage in the development of teachers in civil aviation colleges and universities, and to establish a scientific, comprehensive, and dynamic evaluation system that is in line with the characteristics of the professional development of civil aviation teachers.
Green GDP accounting system from the perspective of resources and environment and a case study of Chongqing
Authors: Cai Guanfeng , Hu Hongtao 
Published: February 2024

Abstract
Green GDP represents the net positive effect of national economic growth. The positive effect of national economic growth will be enhanced if there is a higher percentage of green GDP in GDP. From the perspective of resources and environment, this paper introduces SEEA-2012 accounting system with indirect calculating methods of green GDP in China, within which the value of natural resource depletion, environmental pollution damage and environmental quality degradation are included. In order to reasonably select valid indicators and data so as to get accurate accounting results, different valuation methods and operational formulas in economics are adopted to construct a new accounting system model, and the green GDP of Chongqing City in 2018-2020 is accounted for. Results show that the green GDP of Chongqing in recent three years is 1,838.889 billion Yuan, 1,964.724 billion Yuan and 2,111.2 billion Yuan, respectively, and proportions of green GDP in traditional GDP are 90.30%, 91.01% and 89.44% respectively. By studying and analyzing the dependence of Chongqing on natural resources and the ecological environment in the process of economic development, this paper provides theoretical support for the sustainable development of the urban economy and environment, provides a reference basis for the local government to formulate economic development planning, and also provides a reference for the construction of green GDP accounting system in similar ecological areas.
Structural Innovation and Theoretical Optimization of Modern Cultural Industry Tax Administration Based on Lasso Regression Algorithm
Authors: Han Yu , Han Jianhua 
Published: February 2024

Abstract
China’s modern cultural industry faces difficulties in tax collection and high pressure on expenditure; in order to solve such problems, this paper constructs a modern cultural industry tax model based on Lasso regression algorithm to promote the development of modern cultural industry. In order to further study the relationship between economic factors and the tax revenue of the modern culture industry, the relevant data on China’s tax revenue between 2000 and 2021 are selected, and 12 economic factors affecting the tax revenue of the modern culture industry are screened by combining the least squares method, Lasso regression algorithm and linear regression model. After the screening of indicator variables, according to the linear regression theory, the relationship between the key economic factors screened out by Lasso regression algorithm and the fiscal revenues is estimated by fitting and tested for normality, and the modern culture industry tax revenue model based on Lasso regression algorithm is constructed. Based on the tax revenue of the modern cultural industry between 2000 and 2021, the Lasso regression algorithm is used to analyze the modern cultural industry tax revenue. Examples are used to analyze the results. The results show that the tax revenue of the culture industry in 2020 is obtained as 208, 988, 838.42 billion yuan, and the tax revenue of the culture industry in a province in 2021 is 221, 794, 675 billion yuan, and its growth rate is 6.13%, which indicates that the Lasso regression algorithm is able to extract the information contained in the tax revenue of the modern culture industry well, and the coefficients of the parameter part are also in line with the actual tax situation coincides with the actual tax situation. Through the innovation of tax management structures and theoretical optimization, this study aims to promote the healthy and rapid development of modern cultural industries.
Effective Application of Artificial Intelligence Techniques in Security Risk Assessment and Dependency Analysis of Open Source Components
Authors: Hu Jian , Zhao Zhiyu , Hang Feilu , Yin Jun 
Published: February 2024

Abstract
With the wide application of open source software, the security of open source components has become a non-negligible problem in software development. In this paper, based on the research on deep learning algorithms, the deep reinforcement learning algorithm DQN is proposed, and the DQN-LightGBM model is constructed by combining LightGBM classifiers to achieve better mining performance. This model introduces the attention mechanism and BiLSTM network, and the TextACBL vulnerability identification algorithm is proposed. In the end, the performance of the open source component vulnerability mining model is evaluated to investigate its impact on vulnerability identification, risk assessment, and dependency analysis of open source components. The results show that the performance of DQN-LightGBM model is above 0.9 in accuracy, checking accuracy, checking completeness, AUC value, and F1, and the mining completion time is only 54s, which is the best. The accuracy of TextACBL model in identifying the types of vulnerabilities is above 94%, and the vulnerability danger levels on the seven items measured are high, low, high, high, and high risk, respectively, medium risk, high risk, and medium risk. The differences in the global graph features of the identified normal and vulnerability samples are obvious, and there are frequent dependencies in the probability graphs of the opcodes of the vulnerability samples. This study allows for the assessment of security risks of open source components and the comprehensive, accurate, and efficient conduct of dependency analysis.
Research on the reform and effect evaluation of three-dimensional motion animation blended teaching based on fuzzy evaluation model
Authors: Zhao Jiansong , Khalid Intan Khasumarlina binti Mohd , Wan Fangfang , Zhang Pingfei 
Published: February 2024

Abstract
This paper combines the teaching of a 3D animation course with the blended teaching mode and constructs a framework for the design of 3D animation blended teaching reform. Based on the fuzzy comprehensive evaluation algorithm, we adopt qualitative and quantitative methods to determine the evaluation index system of teaching reform, divide the course teaching objectives, teaching content, learning resources, online learning and teaching design and classroom organization into five first-level indexes, establish the weights of the evaluation index system, and complete the construction of the fuzzy comprehensive evaluation system of 3D animation blended teaching. Examine the design and teaching effects of 3D animation that blends learning from different dimensions, and examine the correlation between learners’ multidimensional recognition of teaching reform and its learning impact. By combining the weights of each index, the fuzzy comprehensive evaluation results are obtained by determining the affiliation degree of each index using the fuzzy statistical method. The operation results show that the fuzzy comprehensive evaluation scores of the five first-level indicators of teaching reform are 0.754546, 0.69943, 0.638926, 0.66888, and 0.5966. It can be seen that the comprehensive evaluation results of the five aspects have achieved good results. The evaluation of teaching reform’s effects can be targeted and feasible using a fuzzy comprehensive evaluation model.
Application of industrial robot based on infrared sensor technology in monitoring of electrical equipment
Authors: Jiang Hong , Yang Fan 
Published: February 2024

Abstract
In this paper, infrared sensor technology is applied to the monitoring of electrical equipment, and a mathematical model of infrared image processing is built. In addition, the infrared image recognition model of electrical equipment is combined with the improved CenterNet, and ResNeXt50, which has stronger feature extraction capability, is used as the backbone network of CenterNet to improve detection accuracy. An infrared dataset of electrical equipment is used to verify the effectiveness of the improved CenterNet model and the other two models. Finally, the faults in substation equipment are analyzed and studied for real cases applied in practical work as an example. The results show that the algorithm in this paper has an mAP value of 93.7% and a frame rate of 40/S, which can balance the detection accuracy and detection speed in the electrical equipment infrared scene. Compared to traditional electrical equipment detection methods, the detection method of infrared sensor imaging is more reliable, with a 90% accuracy rate, and the highest has reached 100%. The article analyzes the characteristics and relationship between the local heating and temperature increase of the fault point of the equipment concerned, summarizes the fault judgment method, and verifies the effectiveness of infrared sensor imaging technology.
Optimisation of cross-border e-commerce logistics model innovation path in the era of digital technology
Authors: Wei Wenji 
Published: February 2024

Abstract
Currently, cross-border e-commerce logistics is lagging behind the development of infrastructure imperfections and other issues, so the realization of e-commerce logistics model innovation is a top priority. This paper firstly analyzes the innovation path of cross-border e-commerce logistics mode to shorten the logistics cost and improve the development efficiency of cross-border logistics chain by supply chain, logistics system, packaging, and localization. Secondly, it establishes a logistics operation demand forecasting model based on principal component analysis and radial basis function and introduces the composite system synergy model to measure the logistics matching ability and calculate the cross-border e-commerce logistics matching ability. Finally, quantitative analysis is carried out on three aspects of cross-border e-commerce logistics operations: demand, matching ability, and service effect. The results show that: the application of a cross-border e-commerce logistics model innovation path reduces the potential risk of cross-border express clearance, and the average timeliness of returned express shipment, goods arrival to delivery, product tariff tax rate across the border, and the complaint rate are reduced by 45, 0.5, 0.28, and 0.65 in 2019-2023. Meanwhile, the customer satisfaction is increased from 0.8416 to 0.9641. The cross-border e-commerce logistics model innovation path is proposed to meet the actual needs of social development.
The effect of core strength exercises on the enhancement of explosive qualities in throwing track and field athletes
Authors: Zhang Yangsheng 
Published: February 2024

Abstract
In this paper, an Apriori association rule optimization model based on the combination of transaction compression and Hash technology is proposed for the relationship between core strength exercises and the explosive strength quality of throwing track and field athletes. In order to improve the efficiency of mining, the Hash function is set on the basis of the FP-growth algorithm, and its grouping strategy is improved by the load optimization algorithm of the greedy strategy, and it is fused with the improved Apriori algorithm. Finally, we set up an athletic training comparison experiment with or without core strength exercises to explore the effect of core strength exercises on the improvement of explosive strength quality with the help of the fusion algorithm. After core strength exercises, the grip strength and vertical jump events of throwing athletes increased from 30.94 and 36.03 to 33.52 and 38.28, respectively, and the quality of explosive force was significantly improved. While comparing with the conventional strength exercises, the athletes who performed core strength exercises had a P-value of less than 0.05 in all the other five test items except static squat jump; the effect of the exercises was significantly better than that of the conventional strength exercises, and the lower limbs, trunk and waist and abdominal muscle groups, and the upper limbs explosive strength were also effectively improved.
Internet Smart Technology Drives High Quality Development of Agricultural Economy
Authors: Zhuansun Fengqin 
Published: February 2024

Abstract
This paper builds a mechanism for the integration of the digital economy and agricultural economy and analyzes the scientific path of agricultural economic development under the mode of “Internet+”. Secondly, on the basis of Internet technology, for the multi-objective optimization problem of agricultural circular economy, the multi-objective optimization problem is solved by selecting decision variables of agricultural circular economy and determining the objective function of agricultural circular economy. Then, from the actual situation of the regional agricultural economy, we determine the constraints, decision variable parameters, and the adaptability function so as to construct the structural optimization model of the agricultural circular economy and carry out an example analysis of the high-quality development of the agricultural economy. The results show that on the model optimization analysis, the optimized planting area of corn is 15,956 hectares, and the optimized numbers of pigs, cattle and poultry are 302, 144, 25, 543 and 579, 1332, respectively. On the model application prediction analysis, it is recommended to increase the support for agriculture to 102.5% (2022=100%) while increasing the support for forestry to 105.1% (2022=100%). This study provides strong support and guidance for the optimization of the agricultural and industrial structure and provides a more scientific decision-making basis for the high-quality development of the agricultural economy.
A Study on the Enhancement of English Proficiency of Contemporary College Students by Intercultural Communication in the Background of the Internet
Authors: Liu Min 
Published: February 2024

Abstract
The process of English learning is closely related to the process of intercultural communication. This paper addresses the problem of quantifying the intercultural communication ability of college students, designs the dimensions of intercultural competence, establishes the factor indicators of intercultural competence, and constructs a fuzzy comprehensive evaluation method for the assessment of intercultural competence. A regression model is created to investigate the correlation between achievement and English proficiency. The nonparametric model of principal component analysis is used to optimize the problem of the stratification effect of general local linear regression, and the principal component-based local linear regression method (PC-LLR) is proposed. The second-year undergraduate students of different majors in X university were selected as the research subjects, and an overall assessment of intercultural communication competence was made to explore the differences among different student groups. Based on the correlation analysis between intercultural competence and English proficiency, PC-LLR regression analysis was launched. The Beta value interval of the regression was [0.0535, 5.0292], all of which were positive, and the four variables of knowledge, attitude, skill, and awareness had a positive predictive effect on the dependent variable. Intercultural knowledge has a relatively high Beta value, which makes it a strong predictor of English proficiency.
The Integration of Student Management and Civic Teaching Work in Colleges and Universities in the Background of Internet
Authors: Zhu Zhiwei , Jiang Jin , Zhang Jinhong 
Published: February 2024

Abstract
This paper analyzes the correlation between Civics teaching and student management in colleges and universities by establishing a multiple linear regression model to study the influence of Civics teaching on student management. Based on the questionnaire data, it analyzes the level of civics teaching and student management in 20 colleges and universities in City A. Based on the balanced panel data, it conducts benchmark regression analysis and dynamic panel analysis on the data of Civics education and student management and investigates the effect of the integration of college and university student management with the Civics teaching work. The results show that in the dynamic panel analysis, the estimated coefficients of the core explanatory variable of Civic and political education in each column are 0.028, 0.032, 0.033, 0.038, with positive significant coefficients, indicating that Civic and political education activities help to improve the level of management of students in regional colleges and universities. This study tests the positive influence of the integration of Civic and Political teaching work on student management and provides a certain reference value for colleges and universities to improve the level of student management.
An empirical study on the innovation of vocational education technology to construct a new classroom teaching mode in the context of new media
Authors: Han Fang 
Published: February 2024

Abstract
In this paper, the convergence and generalization performance of Random Forest is used to improve the classification accuracy of target variables, and the robustness and classification accuracy of Random Forest is dramatically improved by conditional Random Forest, which is trained to generate a Random Forest model for head pose estimation. The improved random forest algorithm is designed using logistic regression, and a new classroom teaching model for vocational education is constructed using the improved random forest algorithm. Taking the students of secondary school A in G city as the research object, the teaching model constructed in this study is applied to the classroom of “Information Technology Teaching Literacy” and empirically analyzed from three aspects: the cognitive level of learners, the emotional state and the comparison of students’ performance. The results show that compared with the achievement before teaching, after the teaching is finished, the student’s achievement improves greatly by 0.2542, and the average score is 86.49, which is 18.28. It shows that the teaching practice of the new classroom teaching design of vocational education in this paper has significant results, which can improve the student’s learning achievement and effectively enhance learning efficiency.