bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of the Cultural Landscape Elements in the Municipality of Bistrița and Their Potential for Tourism Valorization
Authors:   Geographic Research Center, Romanian Academy, Cluj-Napoca, Romania. Email: ileana.vasilita@academia-cj.ro., Vasiliță-Crăciun Ileana-Cristina
Published: February 2024

Analysis of the Cultural Landscape Elements in the Municipality of Bistrița and Their Potential for Tourism Valorization. The study of the cultural landscape elements in the urban area of Bistrița determines clear tourist values that refer to the attractiveness of both natural elements and that of cultural ones. This study highlights the specific natural environment, the churches and other buildings that have a characteristic function, belonging to different historical periods, starting from the Middle Ages. All of these benefit from an appropriate infrastructure that favors tourist access and capitalization, currently to a modest extent, but which as a whole can constitute the basis of a new integrated development strategy of the city. Thus, the study reveals both the analysis of the elements with real tourist values, as well as the main objectives to be achieved for the subsequent development of the area.
Keywords: Bistrița Municipality, cultural landscape elements, tourism potential, tourism valorization
“The Seat of Moses” – The Responsibility of Interpreting the Law in Matthew’s Gospel
Authors: BENEA Nicolae Olimpiu
Published: February 2024

The presentation will analyse the possible interpretative solutions proposed by the exegetes to the crux interpretum of Matthew 23:2-3. The Saviour's statement that the scribes and Pharisees “sit on the seat of Moses” is not intended to be an endorsement of their authority to interpret the Law, but, recognizing the reality in which the disciples lived and were to serve, they must fulfil and learn the commandments, they must know what Moses says. The scribes and Pharisees, although they were the keepers of the Torah in the social and religious environment in which these disciples lived, no longer had the authority to teach because it was given to the Church.
The Pagans and the Tax Collector of the Gospel According to Matthew
Authors: BORA Ion Sorin
Published: February 2024

The attitudinal complex existing among the groups of people mentioned by St. Matthew the Evangelist is strikingly similar to the situation existing in the Church before the Gentiles shared and inherited the Gospel. The clear distinction between “gentiles” and “publican” is not justified in the second part of the apostolic age, when the Gentiles were the majority in the Church. The belief that the Aramaic version of the Gospel of Matthew was written before the Apostolic Council is based on these everyday realities of the Jewish Christian world, revolving around the Temple, religious parties, rabbis, etc. Dating the writing after 70 AD, as presented in most modern commentaries, does not justify several verses mentioned only in the first canonical Gospel, including Mt 18:15-17. The erring brother may ultimately end up as a pagan and a publican. For the disciples, as for the Jewish Jerusalemite Christians, the Saviour's command was actual, something not at all necessary for later majority Jewish Christians. It would also justify taking the fragment from other Matthean sources or the hypothetical Q if it were to be found in other evangelists. It is just that it is the proper place of the Gospel of Matthew. That is why we consider the Gospel of Matthew to be the first writing of the New Testament in its Aramaic form, intended for Jewish Christians, constantly concerned with preserving ethnic purity and the Abrahamic heritage.
Resurrection and Resurrections. Some Insights into Matthew 27:51-54
Authors: MIHĂILĂ Alexandru
Published: February 2024

After Christ’s death upon the cross, the gospel of Matthew is the only one that preserved a tradition about the opening of the graves and the resurrection of the saints (Mt 27:51-54). According to context, this resurrection of the Old Testament saints diverges from the concept of Christ as the beginner of the general resurrection. The article scrutinises the history of interpretation in patristic literature, modern commentaries, and the ideas of resurrection in early Judaism and Christianity. The author argues that here the gospel may preserve an ancient tradition about the victory of the Messiah which was further corrected to converge with the post-easter tradition about Jesus who was resurrected after three days.
Matthew 28:16-20 - hermeneutical key to the Gospel of Matthew
Authors: MOLDOVAN Alexandru
Published: February 2024

This study analyses Matthew 28:16-20 as the hermeneutical key to the Gospel of Matthew. The text contains a narrative part about the eleven disciples meeting the risen Jesus in Galilee (vv. 16-17) and Jesus’ final words commissioning them to evangelize all nations (vv. 18-20). The location of Galilee symbolizes openness to the Gentiles, fulfilling Old Testament prophecy. The mountain setting represents an encounter with God, as in other key moments of Jesus’ ministry. The disciples’ worship yet doubt (v. 17) shows imperfect faith, inviting readers to mature belief. Jesus claims absolute, cosmic authority from God (v. 18) as the basis for commissioning the disciples to “make disciples of all nations” through baptism and teaching (vv. 19-20). This universal mission corrects earlier limitations only to Israel. Teaching them to obey Christ’s commands grounds the mission in Jesus’ ethical demands. His perpetual presence (v. 20) assures guidance despite uncertainty. Thus, the text presents a mission paradigm for readers: Christ – centered proclamation for God’s kingdom, not power; fidelity to Jesus’ original disciples; invitation to internalize divine daughterhood; and responsibility to embody values commanded by Jesus. This call for active discipleship awaiting the Parousia proposes to resolve doubt into faith.
Saint Nicodemus of Tismana’s Tetraevangelion and its Relation with Slavic-Byzantine Manuscripts
Authors: REȘCEANU Ion
Published: February 2024

This study aims to bring a series of clarifications regarding the objectives pursued by Saint Nicodemus in creating a Tetraevangelion for the Tismana Monastery in 1405. We believe that these objectives could be better understood based on the investigation of the relationship that Saint Nicodemus’ Tetraevangelion has with similar Slavic-Byzantine manuscripts, especially with Bulgarian and Serbian manuscripts, of his time. This relation helps identify both the characteristics of the manuscript made by Saint Nicodemus at the beginning of the fifteenth century, as well as its originality among other Slavic-Byzantine manuscripts.
Research on typical fire impact and emergency escape planning in Yushuling Coal Mine
Authors: Wang Yongjing
Published: February 2024

Mine fire is a very dangerous underground disaster. In order to better study the situation and influence range of mine fire, this paper uses Ventsim to establish a three-dimensional visual ventilation model of Yushuling coal mine. The fire simulation of coal mining face and central substation is carried out by simulation method to study the change law of CO concentration, visibility and temperature in different places. The results show that the CO concentration and visibility change greatly in the downstream of the fire source point when a fire occurs in the coal face; As for the temperature, the temperature at the fire source varies greatly, and the temperature below the inclined air shaft hardly changes; All of them show a decreasing trend with the increase of the distance from the fire source; In case of fire in central substation, there are great changes in all substances in the roadway before and after the air door is opened and closed; After the air door is closed, the CO concentration drops sharply, the change rate at the end of the fire is reduced, the end time is advanced to half of the original, the temperature change is relatively small, and the visibility remains low for a long time after the damper is closed and the recovery time is late. The research results have important guiding significance for the escape of underground fire.
Analysis of Mandarin Monophthong Production by Intermediate-Level Learners
Authors: Arkin Gulnur , Wu Shengyi
Published: February 2024

This study aims to document the pronunciation status and methods of Mandarin by intermediate-level learners in order to meet the practical requirements of high-precision phonetic recognition for these learners. The research investigates the formant resonance patterns and acoustic vowel charts of Mandarin pronunciation by intermediate-level learners, calculating the Euclidean distance and vowel duration parameters in both standard and non-standard Mandarin for each vowel. The trajectory and pronunciation morphology of the learners acquiring Mandarin monophthongs were thus derived. Notably, it was discovered that the Euclidean distance between the basic vowels of intermediate-level learners and native Mandarin speakers generally decreases as proficiency in Mandarin increases. Additionally, it was observed that, during the process of Mandarin acquisition by learners, there were both "similar vowels" and "unfamiliar vowels" which presented varying degrees of acquisition ease, and certain phenomena that neither the Contrastive Analysis Hypothesis (CAH) nor the Speech Learning Model (SLM) could predict.
Dynamics Response of Rail Vehicle Induced by Incorporating Electric-Dominated Transmission Component
Authors: Yang Changxiu
Published: February 2024

As an important component of train speed regulation, traction transmission system is the power source and the main transmission component of traction force. Its dynamic characteristics can affect the dynamic performance of vehicle system to a certain extent. With the rapid development of rail train transportation in China, the running speed of the train continues to improve, the dynamic characteristics of the vehicle is becoming more complex, and the influence of the electrical part of the traction transmission system gradually appears. The motor and gearbox are crucial components of the train power bogie to complete the conversion and transmission of electric energy to mechanical energy, with their dynamic characteristics are most directly affected by the electrical characteristics of the traction system. In this work, a vehicle electro-mechanical coupling mathematical model based on multi-body dynamics was established by explicitly incorporating the electric-induced traction into the transmission system, to study the influence of traction system vibration on vehicle dynamics. The dynamics responses of the lateral and longitudinal vibration on vehicle motor and gearbox were quantitatively analysed from the traction drive system. Compared with the line test, it was observed that 12-times of the fundamental frequency of the rotor has a great influence on the motor and gearbox.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Constructing a Theory of Affective Stylistics in Modern Chinese Literature Based on Knowledge Mapping
Authors: Wang Zhiyong
Published: February 2024

Emotion stylistics is an important bridge to communicate the emotions of characters and the emotions of readers in modern Chinese literature. This paper extends the emotion dictionary based on the point mutual information in the SOPMI algorithm and introduces the emotion words into the emotion dictionary to calculate the emotion values of modern Chinese literature texts. Modern Chinese literature’s emotions can be visualized through knowledge filtering, knowledge fusion, and text classification modules of the knowledge graph. Multimodal theory is used to construct a theoretical framework that is dynamic and multimodal stylistic. The study focuses on the emotional intensity, tendency, flow, and visualization analysis of The Divine Eagle Warrior, a modern Chinese literature, as the research object. The results show that the emotional density of the original work is 0.107, the amount of both positive and negative emotions reaches about 3, and the maximum fluctuation of emotions in the whole text is 0.23. The results reveal the structural composition of emotions in the discourse of modern Chinese literature, which is of great reference significance for further understanding the nature of literature and constructing the theory of emotional stylistics.
Analysis of the Influence of Ideological and Political Education on Students’ Psychological Cognition in Colleges and Universities in the Context of Informatization
Authors: Wu Fengqiong
Published: February 2024

To assist students develop sound moral principles and enhance their psychological and cognitive abilities, colleges and universities should provide them with ideological and political education. This study builds a standard regression model and a panel threshold regression model using statistical data collected from colleges and universities across the nation from 2012 to 2019 as an example. The models are evaluated for smoothness and multiple covariance by the testing process. Panel threshold regression and benchmark regression were employed to evaluate the impact of political and ideological education on learners’ psychological cognition in colleges and universities. The findings indicate that, in the absence of a control variable, students’ psychological cognition rises by 0.521 points for every percentage point increase in the intensity of ideological and political education provided by colleges and universities. The teaching content, cognitive mechanism, and psychological needs of political and ideological education in higher education institutions have a single threshold effect on the level of psychological cognition of students, with threshold values of 84.54, 29.16, and 35.98, respectively. Cognitive mechanisms and psychological needs are currently below these thresholds, and they will not exceed them. The psychological and cognitive development of the kids won’t be affected by the level being below the threshold value. To enhance students’ psychological cognition, civic education at colleges and universities must identify the psychological requirements of the students, comprehend the subject matter, and employ solid cognitive procedures.
Automated monitoring of high-voltage transmission lines based on machine vision
Authors: Wang Moqi
Published: February 2024

This paper takes the automated monitoring of high-voltage transmission lines as the entry point and constructs an automated monitoring model of high-voltage transmission lines based on machine vision. Through the transmission equipment recognition algorithm to identify the type and location of the equipment in the inspection image, using image processing methods for the collected high-voltage transmission line image color image grayscaling and grayscale image stretching, and then grayscale image smoothing and segmentation, so as to achieve the identification of the location of high-voltage transmission line fault location. Simulation test for image processing and transmission equipment identification methods, and then carry out automated monitoring experiments with high-voltage transmission line conductor stranding as an example to verify the feasibility and reliability of the model in this paper. The results show that for the automatic detection of individual conductor strand breakage, the method of this paper detects the number of strand breakage is only 1-2 less or more than the actual number of strand breakage; there is a certain difference, but basically in line with the actual situation, and the method of this paper, on average, detects the efficiency of the method is faster than the traditional method by 5.69~7.18 s/m. The research to enhance the quality of automated monitoring of high-voltage power transmission lines has a certain application value.
Differential Analysis of Stylistic Features in English Translation Teaching Based on Semantic Contrastive Analysis
Authors: Yan Rong
Published: February 2024

In this paper, in the process of digitization of stylistic features in English translation teaching, the simulated stylistic features in English translation teaching activities are quantified and pre-emphasized to obtain the decoder of stylistic features of English translation with higher precision, and the stylistic features recognition algorithm in English translation teaching is designed, and the results of the stylistic features recognition in English translation teaching can be obtained by substituting the initial data into the recognition algorithm. Based on stylistic feature recognition, combined with the post-particle swarm optimization algorithm and artificial neural network to construct the stylistic feature analysis model in English translation teaching, and use the method of statistical analysis to analyze the differences of stylistic features in English translation teaching. The results show that the rank means value of auxiliary is the highest, reaching 209.81, the lowest is a preposition (145.17), and the conjunction and adverb are 154.17 and 157.45 respectively, which indicates that auxiliary has the strongest variability of features in the translation of English novels, and this study enables students to have a comprehensive and in-depth understanding of the text, to grasp the stylistic features of the text, and to improve the students’ comprehensive English language ability and translation level.
The Application of POA Teaching Concept in English Teaching Reform in the Background of Internet
Authors: He Yan , Zhang Ya , Zhang Qiongfang
Published: February 2024

How to explore the effective English teaching mode in the Internet era and change the passive learning state of students while promoting the development of students’ English proficiency is an urgent problem to be solved. The application of the POA teaching concept in English teaching reform in the context of the internet. By combining the LDA topic model with the LSTM neural network model, students’ emotional tendencies are fully analyzed during the online evaluation of English smart classrooms. Application practice was carried out through students’ English performance, learning interests, and attitudes before and after the teaching experiment, and sentiment analysis was also carried out for the satisfaction evaluation of English smart classrooms. The results showed that the English grades of the students in the experimental class utilizing the English smart classroom teaching mode increased by 4.95 points compared to the grades of the students in the control class, the overall negative attitude of the students towards English learning decreased by 28.77% after the experiment, and the affective values of the students towards the English smart classroom teaching mode of the teaching mode ranged between [0.6,0.8]. Utilizing POA theory to carry out English smart classroom teaching can enhance students’ interest in English learning, improve the quality of English teaching, and provide certain references for English teaching reform.
Innovation and Practice of Talent Cultivation Mode of Art Education Specialties in Colleges and Universities under the Background of “Internet +”
Authors: Xie Huan
Published: February 2024

This paper focuses on the problems of art education professional training in colleges and universities under the background of “Internet+”, realizes the innovation and practice of art education professional training mode in colleges and universities based on the “Internet+” art education platform, and at the same time combines the K-means algorithm and genetic algorithm to construct the teaching data analysis model of the art education platform. Innovating and Practicing Talent Cultivation Modes for Art Education Specialties in Colleges and Universities Through the Internet. Based on the art education professional talent cultivation platform in colleges and universities, 10 research factors are identified through the self-assessment scale of mental health symptoms, and the psychological regulation based on the “Internet +” art education platform is analyzed. The results show that the t-indexes of emotional exhaustion (7.019), depersonalization (4.761), and low sense of achievement (5.001) are all positive and valid data in the regression equation data analysis of the three dimensions of the psychological problems of art education majors and the research factors, indicating that the art education platform based on the “Internet +” can effectively It shows that the art education platform based on “Internet+” can effectively correct the mental health problems of the art education professional training mode. According to the current situation of art education professional training in colleges and universities under the background of “Internet +”, this study puts forward the innovation and practice strategy of art education professional training mode, which provides a theoretical and practical reference basis for art education professional training in colleges and universities.
A Social Network Analysis Approach to Explore the Dualistic Interaction between the Digital Economy and Industrial Economics
Authors: Ding Lu , Huang Fujiang
Published: February 2024

In recent years, the digital economy has continuously innovated the traditional industrial economy and brought about the continuous optimization of economic structure. In recent years, the digital economy has continuously innovated the traditional industrial economy and brought about continuous optimization of economic structure. By combining the AP clustering algorithm, this paper creates a representative viewpoint extraction model that extracts the relevant features of relevant variables and generates a more representative economic viewpoint. The social network structure between the digital economy and industrial economics is analyzed using the social relationship graph. Using the information gain calculation formula, the correlation calculation is carried out on the characteristics of variables with stronger relationships and larger information gain. Meanwhile, the correlation coefficient between variables with larger information gain is calculated by Spearman’s coefficient. The influencing factors of industrial economic development under the digital economy are analyzed through three dimensions, and the theoretical model of group effect analysis is constructed to analyze the binary interaction between the two. Through the method of empirical analysis, the interaction between the digital economy and the industrial economy is tested in terms of smoothness and cointegration. HP filtering, as well as impulse response analysis, are carried out to analyze the interaction between the two in A. After 9 groups of experiments, the cointegration number of the original hypothesis is 0 or ≥1, the original hypothesis is rejected at a significance level of 1%, and the eigenvalues range from 67.4566 to 69.7445, and there is a correlation between the two. The impulse response value of the industrial economy improves from 0.0002 to 0.001. The development of the digital economy will lead to the development of the industrial economy.
Exploration of Civics Teaching Mode in Colleges and Universities Relying on Digital Classroom Platforms
Authors: Dong Xueying , Liu Guizhen
Published: February 2024

The digital teaching model of Civics at the current stage still has deficiencies and does not achieve the expected effect. This paper utilizes data analysis and mining methods starting from the digital classroom platform to assess students’ knowledge and skill mastery through the CDA static cognitive analysis model. Then, students’ learning behaviors were analyzed using K-Means, and an evaluation model of interactive behavioral characteristics was constructed to analyze students’ Civics learning characteristics in combination with the above three aspects. Relying on the digital classroom platform, a corresponding teaching model for Civics in colleges and universities was developed. Our analysis of the impact of teachers’ and students’ interaction behaviors in Civics teaching and the realistic results of the Civics teaching model designed in this study is aided by the selection of empirical samples. The results show that the optimized students’ interactive behavior rate of Civics learning is more than 50%, and the interaction time increases to 19 minutes, which has a significant improvement effect. Analyzing the digital classroom teaching model of Civics, 28 students in Case 2 in the course comparison had greater interest in Civics learning, meanwhile, only 6 students had low interest in Civics learning, and the digital teaching model of Civics effectively enhanced students’ knowledge and literacy.