bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study of Computer-Assisted Communicative Competence Training Methods in Cross-Cultural English Teaching
Authors: Yang Chunli 
Published: October 2024

Abstract
With the advancement of globalization, China is implementing the “Belt and Road Initiative”, a major strategic initiative to open up to the outside world, which means that it needs to cultivate talents with cross-cultural communication skills. In this paper, we design a computer-assisted model for cross-cultural English teaching implementation that is based on the objectives of cross-cultural teaching. A questionnaire was designed to collect data on the effect of students’ communicative competence training in cross-cultural English teaching, and t-tests and correlation tests were used to analyze the impact of the computer-assisted English teaching mode on students’ communicative competence training. The results of the study show that there is a significant difference between the dimensions of intercultural communicative competence of the experimental group of students applying the computer-assisted teaching mode and the control group under traditional teaching at the end of the teaching experiment (P<0.05). At the same time, it was found that there was a positive correlation between the effect of communicative competence training and the factors in the teaching mode (r>0), indicating that computer-assisted English language teaching can improve students’ intercultural communicative competence. This paper puts forward the optimization suggestions of communicative competence training from the aspects of teaching object and teaching design in order to improve teachers’ professional teaching ability and students’ intercultural communicative competence.
An Empirical Study of the BOPPPS Pedagogy in a Computer Networks Course and Strategies for Curriculum Reform
Authors: Yuan Lihui , Kong Ling , Liu Fenghua 
Published: October 2024

Abstract
In the context of modern education, it is essential for the sustainable development of the computer discipline to continuously explore the general process of course teaching and the strategy of class reform through the practice of new teaching methods. This paper discusses the practical application of the BOPPPS model teaching method in computer network courses and the strategy for class reform. The BOPPPS teaching model creates six teaching sessions in the Computer Networks course, which include an introduction, learning objectives, pre-test, participatory learning, post-test, and summary. Finally, we used student performance analysis and student questionnaires to understand the teaching effect of this teaching model. The study’s findings revealed that the average score of the case study questions in the experimental class was 3.32 points higher than that of the control class after adopting the BOPPPS teaching mode. During the learning process, both 33.5% and 39.5% of students expressed their ability to clarify and recognize learning objectives and think independently.
Cost-Benefit Modeling of Smart Contracts Applied to the Accounting and Auditing Field
Authors: Zheng Wei 
Published: October 2024

Abstract
Blockchain technology is increasingly pervasive in social production and life, and its influence on the accounting and auditing industry is undeniable. The article extensively researches blockchain technology and smart contracts, and it constructs a blockchain-based cloud data auditing model. Combining it with the evolutionary game model completes the construction of the blockchain-based cloud data auditing system. The running cost of the auditing model is analyzed in terms of communication and computation overhead, smart contract cost, time cost, etc., and how it affects the strategies of auditing clients and auditors is studied from the aspects of cost and benefit, respectively. In this paper, the audit model’s average communication overhead and computation overhead are 9.86 KB and 0.82 seconds, respectively. The cost of the smart contract model is relatively low and shows a steady trend. The average query time of this paper’s auditing model is 0.78ms, and none of the validation times on the validator exceeds 5ms, while the average validation times on the blockchain and cloud servers are 11.01ms and 534.35ms, respectively. The auditing client and the auditor tend to adopt the blockchain technology strategy when the cost reduces, or the benefit increases, with a probability of adoption approaching 1 after numerous games.
Stylistic Analysis of Chinese Language Literature Based on Text Mining Techniques
Authors: Shuai Xiaomin 
Published: October 2024

Abstract
Chinese literary style highlights the distinctive features of different Chinese language literary works, which is of enormous significance to the research in the field of Chinese language literature. In this paper, we use web crawler technology to construct a dataset of 183 Chinese-language literary works obtained from online reading websites, and we use statistical-based segmentation methods, de-duplication, and other methods to preprocess the text data. The conditional cooccurrence matrix represents the acquired texts, and the BRET-AE model extracts text features. Appropriate classifiers are selected for different literary style analysis tasks. This paper selects seven literary works by Mo Yan and Jia Pingwa for empirical analysis of the Chinese language literary style. While Jia Pingwa’s word formation rate is higher than that of Mo Yan’s. Are selected for empirical analysis of Chinese language literary style. The average word length of all of Mo Yan’s works is 1.5115, and the average word length of Jia Pingwa’s 7 works is 1.3995. In addition, the average sentence length of Mo Yan’s works exceeds that of Jia Pingwa’s works, while the word formation rate of Jia Pingwa’s works is higher than that of Mo Yan’s works. Eventually, the clustering degree analysis reveals that Mo Yan’s Red Red Sorghum Family has the lowest clustering degree, while Wine Country has the highest clustering degree, highlighting the literary style transformation of Mo Yan’s works.
Computer simulation and optimization of building models for photovoltaicphotothermal integration
Authors: Wang Yike , Hao Zhanguo 
Published: October 2024

Abstract
Photovoltaic solar thermal integration is a new idea for buildings to fully utilize clean energy for energy saving and emission reduction. The digital modeling of photovoltaic solar thermal integration in buildings is finished by creating the energy balance equation of the energy supply system and the physical model of the main equipment. The objective function is established and the constraints are set to achieve optimization of the operation model through planning and solving problems. The TRNSYS simulation platform carries the integrated operation model and optimization scheme, and the optimization effect is simulated and validated. The results of computer simulation effect analysis show that the RMS of the parameters is 2.74%, 11.71%, 8.55%, and 2.47%, respectively, and the simulated and experimental values are consistent. The average system thermal efficiency and average water tank thermal efficiency of the optimized scheme are better than those of the PV/T-FPC system, and the cumulative cost savings in the whole life cycle after replacing the proposed scheme in Beijing and other five cities are 8432 yuan, 5937 yuan, 3513 yuan, 31744 yuan, 34893 yuan, and 31877 yuan, respectively, and the optimization effect is significant.
Research on the Strategy of Educational Management and Resource Optimization Based on Big Data Technology in the Mode of Industry-Education Integration
Authors: Xie Ligao 
Published: October 2024

Abstract
In order to build an education information platform to support “industry-education dialogue” and at the same time serve the teaching and research of industry-education integration. In this paper, we use big data technology to construct a system of education management and resource optimization, supporting education construction in the context of industrial transformation and upgrading. For larger-scale WSNs, an energy-efficient data collection algorithm based on non-uniform clustering is proposed. To deal with large-scale optimization problems, a hybrid algorithm of genetic algorithms and particle optimization hierarchical collaboration is introduced. Then, the algorithm is applied to cluster WSNs, an adaptation function is constructed with the goal of equalizing energy consumption, and a data collection algorithm based on non-uniform clustering is proposed. The Apriori algorithm, which is based on the interest degree model, is used to mine the course evaluation data for the system design in the university industry-teaching fusion model. This system design does both course evaluation and resource optimization. The system’s total evaluation score is high, at 90.84 points. It also improves the efficiency of cooperation between the education industry and schools. It proves that the system’s design is effective and high-level and has a positive effect on teaching management and resource optimization in education.
Research on transparent management of economic transactions using blockchain technology
Authors: Xue Qianqian 
Published: October 2024

Abstract
The data asset trading market is gradually emerging with the development of the digital economy, making the development of a safe and effective data asset trading management system an important research direction. This paper uses blockchain technology to create a transparent management system for economic transactions. A PHRP algorithm is proposed to guarantee the security of the transaction, addressing the privacy protection issue involved in the transaction process. The PHRP algorithm calculates the actual transaction amount by encrypting both the input and output amounts, utilizing the additive homomorphic property. It also ensures the undeniability and integrity of the transaction by encrypting and committing random numbers. The relevant test results show that the transaction privacy protection scheme based on the PHRP algorithm can better meet the requirements of the economic transaction management system. Users’ satisfaction with the system constructed in this paper in terms of perceived usefulness and perceived ease of use scored high on average, 4.23 and 4.17, respectively, and expressed average for security, for which this paper proposes relevant improvement strategies.
Prediction of job-seeking intention of college students based on group intelligence algorithm and its guidance for career planning
Authors: Yu Guoshi , Lin Lin 
Published: October 2024

Abstract
The increasingly large employment group has brought great employment pressure to society. Therefore, predicting the job-seeking intentions of college graduates and providing personalized career planning has become feasible methods to solve the structural contradiction of college employment. This paper proposes a better support vector machine model that utilizes the gray wolf optimization algorithm in the group intelligence algorithm, with the aim of establishing a prediction scheme for the job-seeking intentions of college graduates using this model. The collected data are pre-processed by cleaning, integrating, converting, and other pre-processing work to form a standardized dataset to prepare for the subsequent experiments. Finally, the prediction scheme of the job-seeking intention of college graduates is designed and developed based on the GWO-SVM optimization model, and the actual application of the prediction model is analyzed as a case study based on the real data of graduates from a college. The study shows that when the number of input features is 9, the average value of the comprehensive score of this prediction model is 0.5703, the standard deviation is 0.0278, the optimal learning rate of the model is 0.165, the F1 value is stable above 0.6, and the optimal F1 value is 0.856, which proves that this prediction model has a good prediction effect. This study has certain guiding significance in helping college students establish reasonable job-hunting intentions, proposing personalized career planning for students, and promoting high employability.
The Integration Mechanism of Optimization Model Design of Scholarship System and Civic and Political Education under the Strategy of Financial Aid and Parenting in Colleges and Universities
Authors: Li Xinlei , Zhang Xue 
Published: October 2024

Abstract
The selection of college grants is affected by many factors, but some of the influencing factors cannot be quantitatively judged at present. In order to be more fair and reasonable to the students in need of financial assistance for the review and evaluation, this paper introduces the fuzzy comprehensive evaluation method into the process to establish a fuzzy hierarchical analysis based on the college national scholarship evaluation model, the article finally through a specific example of the application of this paper based on the fuzzy comprehensive evaluation of the optimization model of the bursary system. The affiliation degree of the fuzzy comprehensive evaluation-based scholarship system constructed in this paper is (0.536,0.323,0.130,0.014), and the article concludes that Zhang’s moral education status is very good, and he is qualified to receive the scholarship.
Study on the effect of biomass charcoal-biogas application technology on soil carbon and nitrogen fractions and soil microbiological properties based on biomass charcoal-biogas application technology
Authors: Zhang Shuchang , Zhang Yuanxin , Zhai Yong , Liu Zhongqiao , Zhang Xiaotian 
Published: October 2024

Abstract
The application of biogas and biomass charcoal to terrestrial crops and vegetables can promote their growth. The effects of the combined application of the two on soil carbon and nitrogen fractions and soil microbiological properties are not well-studied. Therefore, in this experiment, the red and yellow soil of Hangzhou City, Zhejiang Province, was used as the research object, and two factors, biomass charcoal and biogas, were set up to investigate the soil changes under the conditions of biomass charcoal-biogas application. One-way ANOVA and correlation analysis examined the differences in soil and crop radish under biomass charcoal-biogas application technology. The experimental results showed that the 2% application of hog manure charcoal at 350°C and 100% N amount of replacement of biosolids dosing treatments were the most effective, which could increase the content of organic matter, soluble organic carbon, etc., as well as the content of nitrogen in the soil, and improve the activity of soil enzymes. The enhancement of radish yield was greater with the application of swine manure charcoal with biogas than with the single application of both, and the maximum radish yield was achieved with the 100% N amount substitution of biogas with the application of swine manure charcoal at 2%-350°C treatment. The heavy metal contents in radish were below the limit values after 9 months of application of both biogas and biomass charcoal, which did not affect the edible safety of radish.
Research on the Path of Teaching Reform of Chemistry Major in Agricultural and Forestry Colleges and Universities by Integrating Curriculum Civics in the Network Information Age
Authors: Chu Mingjie 
Published: October 2024

Abstract
In the information age, the ideological and political education of college students has become an important task of higher education. Based on the Word2vec model and the improved TF-IDF algorithm, this paper constructs a text analysis method to analyze the distribution of ideological and political elements in chemistry textbooks taught in colleges and universities. Taking the text of chemistry teaching materials of an agricultural and forestry university as an example, the constructed model is used to mine the distribution of the ideological and political elements and the integration of the ideological and political elements in the chemistry teaching materials of colleges and universities is counted. On this basis, a teaching reform path for integrating Civics and Politics in chemistry courses is proposed, and it is being applied to the freshman class of chemistry majors at an agricultural and forestry university. The effectiveness of integrating Civics into the chemistry program was assessed by comparing the chemistry scores and Civics literacy levels of sample students before and after the teaching practice. 74.3% of the students had a high degree of acceptance of the integration of civics into the chemistry curriculum. The chemistry grades and the level of Civic and Political Literacy of the students in the classes with teaching reform were significantly improved, and the overall scores were 4.26 points and 5.7% higher than those of the control classes respectively. The pedagogical reform path of the curriculum Civics integrated into Chemistry has a significant effect on students’ civics literacy level.
Research on Intelligent Strategies and Challenges of Intangible Cultural Heritage Inheritance in the Age of Digital Economy
Authors: Wu Jiaming , Xu Yuhui , naranbilik  
Published: October 2024

Abstract
The intelligent construction and protection of intangible cultural heritage resources is an innovative approach to inheritance and development that fosters the survival of these resources, as well as an effective arrangement for the joint development of high-quality cultural and intangible cultural heritage resources. In this paper, we design a resource library based on 3D reconstruction, which we then implement online to create an intangible cultural heritage landscape. In addition, based on the characteristics of volume video technology, the innovative experience of building intangible cultural heritage is applied. Through an in-depth inquiry, this paper presents strategies for promoting body diversity, creating engaging communication content, disseminating the technology in detail, and developing a communication strategy for the intangible cultural heritage concept.
Research on Management Innovation in Colleges and Universities Based on the Concept of Knowledge Management
Authors: Zhang Ye 
Published: October 2024

Abstract
In the era of the knowledge economy, colleges and universities, as knowledge-intensive units, urgently need to seek a new management model that meets the requirements of the times, supports the high quality of teaching, and helps colleges and universities to realize sustainable development. Based on this demand, this paper focuses on the concept of knowledge management to innovate the existing management mode and takes the construction of a knowledge-sharing system, the establishment of a knowledge innovation incentive mechanism, the development of organizational learning, and the creation of knowledge alliance as the specific implementation strategies. Using the multi-level gray correlation evaluation method and fuzzy comprehensive evaluation method, we evaluate the actual effects of the knowledge management strategy of colleges and universities in this paper. The multi-level gray correlation evaluation method is used to assess the knowledge management level of 60 colleges and universities, and the results of their scoring order are compared with the reference order. The order-preserving test parameter δ=0.0446<0.1 indicates that the basic trend of this paper’s sorting is consistent with the reference sorting, which verifies the practicality of the knowledge management evaluation system for colleges and universities constructed in this paper. Taking the university H, which implements the knowledge management strategy of this paper as an example, the five levels of the evaluation set V={excellent, good, medium, poor, very poor} are assigned a value of 5~1 respectively, and the final evaluation score of university H is 3.9394, and its knowledge management level tends to be excellent. This paper’s knowledge management strategy has a positive implementation effect and can be a valuable reference for knowledge management innovation in colleges and universities.
Exploring the Communication Path of Civic Education in Cyberspace Using Data Mining Technology
Authors: Li Sha 
Published: October 2024

Abstract
A recommendation algorithm is a specific application of data mining technology, which is an important means to expand the dissemination of Civics education in cyberspace. The elbow method is employed in this paper to determine the best number of clusters to cluster the Civics course evaluation dataset and finish preprocessing large-scale data. Aiming at the problem of different importance of rating bias between items, the traditional Slope One algorithm is optimized by comprehensively considering the relationship between the number of common ratings and the similarity between items and the prediction results. The optimized Slope One algorithm is used to perform one round of prediction and fill the scoring matrix to solve the data sparsity problem and improve prediction accuracy and stability. The optimized algorithm reduces by 8.56% compared to the user-based collaborative filtering algorithm, 5.83% compared to the item-based collaborative filtering algorithm, and 5.25% compared to the content-based recommendation algorithm, with a significant improvement in accuracy, recall, and F1 value. The four hypothesis validations indicate that the diversity, personalization, and accuracy of resource recommendations all have positive effects on the dissemination effect of civic education. The recommendation algorithm’s dissemination effect score in this paper is 3.781, which is significantly superior to the dissemination effect of Civic Education.
Artificial Intelligence Application and Environmental Protection Strategies in Rural Ecotourism Resource Development
Authors: Sang Qingqing , Hu Yu 
Published: October 2024

Abstract
This paper constructs a GIS database from the aspects of data input, storage and processing. Then, it applies a BP neural network learning algorithm to categorize rural ecotourism resources and evaluate their development potential. Finally, it presents four aspects of the challenges of AI technology in rural ecotourism resource development. The rate of discrimination when rural types are divided into two types is overall higher than that when they are divided into three types, and their correct rates are all more than 86%. The best-developed villages among the rural ecotourism resources in %%A are villages J, C, and E, with total development values of 6.5647, 6.5225, and 6.4919, respectively. Villages A (5.5384), G (5.3031), and I (5.5586) are the next best-developed areas, with total development potentials ranging between 5 and 6. The rest of the 4 villages with total development value <5 are under-optimal development villages. Scientific tourism development and planning are essential for the development of rural tourism resources and environmental protection.