bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intercultural Interpretation of English Literature in the Context of Globalisation
Authors: Ma Qianying , Zhang Chidong 
Published: December 2024

Abstract
English literature occupies an important position in the world literary world and shows a high literary research value. The study explores English literature from a cross-cultural perspective and systematically analyses the linguistic features of English literature. Then, it introduces the digital humanities method, combines the Word2vec algorithm and TF-IDF algorithm for text representation and feature extraction, and constructs a model for analyzing linguistic features. Taking the English literary works of two certain writers as an example, text features and text emotions are interpreted to uncover the linguistic expression features of English literature. English literature as a whole reflects the features of quoting classics, reality-based, cultural differences, dramatic monologues, and European cultural characteristics. The readability of the sample English literature was at the slightly difficult and difficult levels, with scores of 45.53 and 52.85, respectively, and Author A’s English literature was of higher complexity and had a higher degree of textual subordination (1.35). The selected English literature samples had mainly neutral (47.87%) and positive (40.61%) affective tendencies. With the ever-accelerating cultural globalization and exchange, there is a proliferation of new and old outstanding works from all ethnic regions of the world, which can only be better interpreted by fully respecting cultural differences and improving literary literacy.
Exploring the sustainable development path of rural tourism: a practice based on the integration of ecological agriculture and tourism
Authors: Wang Qiuhong , Zhang Wenjin , Xi Yajing 
Published: December 2024

Abstract
There are numerous paths to promote the sustainable development of rural tourism, and this paper focuses on the integration of eco-agriculture and tourism to promote the sustainable development of rural tourism. The study selects statistical data on eco-agriculture and tourism in Huangshan City to construct an evaluation system for eco-agriculture and tourism development. The entropy value method is used to determine the weights of the indicators in the evaluation system, and the comprehensive evaluation model, coupling degree model and coupling coordination degree model are constructed to comprehensively measure the level of integration of eco-agriculture and tourism development. Construct the evaluation system of the benefits of integrated development of eco-agriculture and tourism, and get the comprehensive evaluation score of the benefits of integrated development of eco-agriculture and tourism based on the weights of the entropy value method, so as to measure the comprehensive benefits of the integration of agriculture and tourism. The coupling degree between eco-agriculture and tourism in Huangshan City from 2014 to 2023 always stays above 0.9. Meanwhile, eco-agriculture development and tourism development reach a state of complete coordination in 2023. The comprehensive benefit evaluation score of agro-tourism integration in County M of Huangshan City shows a gradual upward trend from 2014 to 2023. The score reaches 0.91 in 2023, which significantly demonstrates the good benefits of agro-tourism integration and provides the impetus for the construction of a sustainable path of development for rural tourism.
Intelligent packaging design optimisation and printing effect prediction based on computer image processing
Authors: Wang Jia 
Published: December 2024

Abstract
With the development of computer image processing technology, intelligent packaging design optimisation and printing effect prediction has become an important research direction in the packaging and printing industry. This paper applies image processing and artificial intelligence technology to design an intelligent packaging design platform. Through simulation experiments and questionnaires, the impact of packaging design optimization on the platform is evaluated. A packaging printing defect detection system is also constructed to improve the printing effect by automatically monitoring the defects in the printing image. The intelligent packaging design platform in this paper scored 9.2, 9.7, 10, 9.7, and 9.3 in order of handling performance, packaging protection performance, packaging utilisation, environmental performance, and cost overhead, showing better protection performance. In addition, most of the people scored 4 or more on the recognition of the platform for packaging optimization. This paper’s printing defect detection system has superior defect monitoring and classification performance. It shows a significant negative correlation with the printing results of silkscreen defects, scratches, stains, too-light ink, printing ghosting, and inconsistent graphic thickness. The intelligent packaging design platform and printing defect detection system designed in this paper can optimize the packaging design and accurately predict the printing effect due to their intelligent and high-precision performance.
Facilitation of Language Acquisition by Non-Native Speakers through the Construction of a Japanese Cultural and Educational Corpus
Authors: Chen Yamin 
Published: December 2024

Abstract
With the diversification of the world landscape and the accelerating process of higher education, Japanese is being valued as an important language, yet there are differences in the formal expression of the language due to different cultural backgrounds. The creation of a corpus of Japanese language culture and education is explored in this article, which contributes to language acquisition by non-native speakers. After collecting relevant information about Japanese language culture and education, the article takes it as a corpus and develops a corpus annotation system and specification further modifies the model and algorithm through machine learning, and finally realizes the construction of the system. By testing the usefulness and effectiveness of the Japanese language culture education corpus proposed in this paper, the paper concludes that in the analysis of the number and rate of bias of “了 (have done)” in subjects with different levels of Japanese language proficiency, the average rate of bias of the beginner level group is the highest at 24.65%, and the average rate of bias of the intermediate level group is the lowest at 14.6%. The “over-marking” bias rate of students’ use of “着(be doing)” reveals that the bias rate of students decreases by 0.64 from the beginner stage to the advanced stage, which indicates that the Japanese cultural education corpus proposed in this paper has a good effect on improving and facilitating the language acquisition of non-native speakers. It shows that the Japanese cultural education corpus proposed in this paper has a positive effect on improving and promoting language acquisition for non-native speakers.
Visual Communication Technology in Interactive Virtual Art Exhibition Design and its Aesthetic Education Value Mining
Authors: Shi Yue 
Published: December 2024

Abstract
The art exhibition hall is a public cultural service organisation to display history through culture and art, which is the responsibility and mission of the exhibition hall. The role of the interactive virtual construction of the exhibition hall is to construct the theme, story, plot, symbols and cultural values so as to achieve the effect of history in beauty and educate people by beauty. In this paper, we use thermal balance scanning to get the laser 3D image of the art exhibition, use the local binary mode algorithm to extract the texture features within the laser 3D image and use the nearest neighbour propagation clustering algorithm to fuse the global features and local features of the image. Based on the results of multi-feature fusion, the laser 3D image model is reconstructed, and the design of the interactive virtual art exhibition is realised from various aspects, such as the overall style, so as to excavate the aesthetic value of the virtual reality interactive art exhibition. The design of the interactive virtual art exhibition is being analysed. The average score of the eight assessment elements in the interactive subjective evaluation results is 4.184, and the interactive operation is in line with the user’s habit of use. The number of users satisfied with the visual experience items is between 10 and 15, accounting for more than 62.5%. Users are more satisfied with the visual experience of the art exhibition, which reflects the aesthetic educational value of the interactive virtual art exhibition.
Research and Practice on the Working Mode of “Intelligent Civic and Political Thinking” in Applied Undergraduate Colleges and Universities in the Era of Melting Media
Authors: Wan Hui 
Published: December 2024

Abstract
Continuously improving and strengthening the work of ideology and politics in colleges and universities and continuously promoting the development of intelligent ideology and politics in colleges and universities have a good effect on improving the overall quality of students. The article proposes a working model of “intelligent ideology and politics” in applied undergraduate colleges and universities in the era of media integration. The article discusses the use of the clustering method in the analysis of students’ portraits and proposes an optimization path for precise ideology and politics in colleges and universities based on students’ portraits. Finally, the article takes the student group portrait of undergraduate colleges and universities as the entry point, explores the internal logic of the student group portrait of colleges and universities, deduces the implementation path of “intelligent civic politics”, and puts forward the intervention strategy. Through the experiment, it is concluded that in the analysis of satisfaction with educational work, from the perspective of the secondary index of daily education, the average value of the overall satisfaction of most of the students is 0.77, and the overall satisfaction is high, which indicates that the working mode of “intelligent civic politics” pays great attention to the issue of students’ civic politics education.
Research on the Deep Integration of Intelligent Speech Recognition Technology and Flipped Classroom for College English Teaching
Authors: Cai Xia 
Published: December 2024

Abstract
Currently, intelligent speech recognition technology has become an important tool to improve the quality of English teaching, and the flipped classroom combined with intelligent speech recognition technology not only optimizes the teaching process but also enhances students’ listening and speaking abilities. This paper briefly introduces the text representation and classification technology used in speech recognition results to extract MFCC speech features. Using the acoustic model of long and short-term memory networks and the neural network as the language model, an improved intelligent speech recognition model (LSTM-NNLM) is constructed based on English teaching. The model is applied to a smart classroom at a university to achieve deep integration between the two. Through examples, we analyze whether the model in this paper has practical application value. In this paper, the loss and error rates of the intelligent speech recognition model converge to 0.13 and 0.10, respectively, during the 25 rounds of training. Speech recognition technology can be used in the English flipped classroom to improve students’ speaking levels. The model in this paper has the most effective effect on students’ speaking scores. Meanwhile, the use of speech recognition technology in flipped classrooms can improve students’ interest in English classes. To conclude, the use of intelligent speech recognition technology in English flipped classrooms can enhance teaching efficiency and increase interactivity.
Research on the Development and Optimal Allocation of Informational Teaching Resources for the Integration of Physical Education and Civic and Political Science Courses in Colleges and Universities
Authors: Chen Zhiyuan , Chen Yujie 
Published: December 2024

Abstract
With the rapid development of information technology, the informatization of teaching resources for the combination of sports and civics in colleges and universities has become an important means to enhance the teaching effect. In this paper, we use technology for developing informatization teaching resources to create informatization resources for adding civics and politics classes to physical education. We also build an informatization resource-sharing platform based on teaching civics and politics in physical education to make the best use of teaching tools. Questionnaires, teaching experiments, and classroom observations are used to analyze the usefulness of information technology resources and technologies for teaching. In the integrated information literacy course of Sports, Civics, and Politics, teachers will choose different information literacy resources for the classroom stage using the teaching resource sharing platform. At the end of the teaching experiment, the physical fitness test scores of the male and female students in the experimental group were 79.61 and 73.49, respectively, indicating significant differences from the control group. In the case of using information resources and sharing platforms, the growth values of students in the experimental group were higher than those of the control group in the seven dimensions of independent learning consciousness, interest in physical education learning, patriotism, collectivism, competition consciousness, rule consciousness, and ideal belief are 4.59, 4.71, 4.89, 4.97, 4.57, 3.44, and 3.90, respectively. In summary, the information resource optimization allocation scheme has a significant role in promoting the in-depth integration of sports and civic education in colleges and universities.
A Practical Discussion of Artificial Intelligence Technology for Efficient Classroom Management within the Education Sector
Authors: Shan Yumei , Qiao Haiying , Yu Bing 
Published: December 2024

Abstract
Based on the research purpose of improving teachers’ classroom management ability and teaching quality, this paper utilizes artificial intelligence technology to design an intelligent classroom management system to assist teachers in timely grasping the performance of students in the classroom and making adjustments. The ArcFace algorithm is selected to construct a face recognition model, and an additive angular margin loss is added to the algorithm to achieve intra-class compactness so as to improve the accuracy of the algorithm for face recognition. The face features recognized by the ArcFace model are extracted through the resnet18 network structure, and the softmax function is used to calculate the identity probability of the ArcFace model to realize the classification of the recognized face expressions. Based on the face recognition model, an intelligent classroom management system is constructed, and an innovative method of calculating students’ classroom concentration is added to grasp the degree of concentration of students in the classroom in real time. The model in this paper can achieve over 80% accuracy in recognizing 8 types of expressions. The results of student concentration can effectively reflect the concentration of students at all stages of the classroom and send reminders at the right time. After using the intelligent classroom management system in this paper, the student’s performance shows a more significant improvement, which fully verifies the role of the system in assisting teachers in classroom management and improving the quality of students’ learning.
Efficiency Improvement and Talent Development Path Prediction of PAM Models in Human Resource Management in Universities
Authors: Liu Xiaoli 
Published: December 2024

Abstract
This paper constructs a forecasting model using the PAM-LSTM time series model based on historical human resource data. The status quo, structure, efficiency and talent of human resource management of teachers in Chinese institutions of higher education are analysed in depth so as to discuss more concisely and systematically the methods of improving the efficiency of human resource management of teachers in colleges and universities and the path of talent development. The study shows that the student-teacher ratio of higher education institutions is expected to reach 10:1 in 2026, the doctoral degree increases to 34.24%, and the number of full-time teachers with full senior titles is expected to be 2.5% higher in 2026 than in 2020. The comprehensive efficiency value of human resource management in higher education institutions is expected to reach 96.7% in 2026. Therefore, strategies for improving HRM efficiency and developing talent, such as combining rigid and flexible management of human resources with an optimal organizational structure for resource allocation, are proposed.
Research on the path of information technology-based teaching content reconstruction strategy in the OBE concept of the five-five model of specialised and integrated education
Authors: Wang Shengsheng 
Published: December 2024

Abstract
Teaching and learning are the main content of higher education, and in the traditional teaching mode of applied courses, there are problems such as the lack of scene support and the limitation of knowledge integration. This paper uses information technology to design a teaching content reconstruction strategy, integrates its application path in the “five-five model” of specialised integrated education under the concept of OBE, and then applies this strategy to the course content module in specialised integrated education. The study constructs an evaluation model for teaching effects using the PSO-RBF algorithm to assess the teaching effectiveness of this path. The RMSE based on PSO-RBF is 0.608, which allows for effective evaluation. Both the teaching effect evaluation model and the control experiment indicated that the teaching effect was better after the change to specialized and integrated education. It shows that it is effective to integrate the IT-based teaching content reconstruction strategy into the course content module in specialized creative and integrated education.
The Effectiveness of Implementing Blended Learning Model in College English Speaking Teaching Supported by Information Technology
Authors: Zhang Yan 
Published: December 2024

Abstract
The blended learning approach has been explored many times in theory and seems to be argued many times about its superiority, but the effect in practice still lacks effective data to prove it. This paper takes full account of the contingencies that exist in teaching practice, focuses on English-speaking teaching as the object of study, and improves the teaching control design. Integrate the concept of blended teaching and clarify the overall mechanism of blended teaching in spoken English. Ensure that the experimental group and the control group have comparable levels of spoken English through random selection, and try our best to exclude the interference of other factors in the teaching experiment. On the other hand, we build an objective model of teaching quality by combining the BP neural network and genetic algorithm. The teaching effect was fully verified by integrating students’ performance and quality evaluation results. The results show that before and after the blended teaching, the students in the control group and the experimental group have different degrees of improvement in satisfaction, learning motivation, and attitude. The model’s evaluation of teaching quality before and after the teaching also validates the effectiveness of the blended teaching mode in teaching spoken English.
Constructing a model for optimal allocation of digital aesthetic education resources in colleges and universities based on deep learning
Authors: Hao Kexian 
Published: December 2024

Abstract
In the context of digital development, aesthetic education in colleges and universities is encountering novel challenges and opportunities, with some institutions grappling with the issue of an uneven distribution of digital resources for aesthetic education. In order to achieve rationalization and maximization of the benefits of digital aesthetic education resource allocation in colleges and universities, a digital aesthetic education resource evaluation index system and a multi-objective function model of the utilization efficiency and allocation efficiency of digital education resources are constructed. The deep Q network algorithm, which is based on a genetic algorithm, is also used to do model solving and simulations to find the best way to set up digital art education resources in the colleges and universities that are being studied. The simulation results demonstrate an improvement in the comprehensive utilization efficiency of digital aesthetic education resources in each university, ranging from 4.28614 to 12.89167 to 9.95566 to 12.92808, and a tendency towards equilibrium. This improvement not only optimizes the allocation of aesthetic education resources in colleges and universities but also validates the accuracy and usability of the model. This study holds significant importance in enhancing the efficiency of educational resource usage, mitigating disparities between colleges and universities, achieving the set targets, minimizing resource waste, and fostering the advancement of education.
Optimisation of controller parameters for hybrid energy storage system based on improved particle swarm algorithm
Authors: Li Yuan 
Published: December 2024

Abstract
In order to solve the problem of intermittent and fluctuating output power in photovoltaic systems and wind power systems, it is necessary to introduce hybrid energy storage system controllers into the infrastructure equipment to fully utilize the characteristics of energy storage equipment. In order to better alleviate the hybrid energy storage system controller part of the problem, this paper uses the traditional particle swarm algorithm on the basis of improvement, using the improved particle swarm algorithm of the hybrid energy storage system controller for the actual case analysis. The study looks at the differences between wind power and photovoltaic power generation, creates a model of a hybrid energy storage system, builds a simulation model for controlling the hybrid energy storage system after understanding how it works, and then improves the model. The particle swarm algorithm is improved by optimizing the acceleration factor, and finally, the example simulation experiment is carried out. The experimental results demonstrate that the proposed hybrid energy storage system controller method in this paper effectively reduces costs, saves energy, and reduces emissions in practical applications. Secondly, in the microgrid experiments, the hybrid energy storage system controller with an improved particle swarm algorithm can effectively suppress bus power fluctuations, and the SOC of energy storage is maintained at 67–70%.