bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Construction of Interactive Selection Model for Indoor Design Elements in VR Environment
Authors: Wang Yanan 
Published: December 2024

Abstract
VR technology, as a new type of immersive technology, can be used in interior interaction design to make the space more realistic, the spatial effect more tense, and the design style more distinct. This paper focuses on the interaction experience of VR interior design as a research, based on the theory of spatial cognition, to study the cognitive position of the user in the virtual environment, the cognition of the extra human center distance, the cognitive characteristics of the egocentric distance, and to explore the human perceptual characteristics of the virtual space in all dimensions. The VR interaction design optimization model and guidelines are created on this basis, and interior design example application research is executed. In the VR technology interior design project, the task completion time and subjective evaluation (5.884) of the entity tracker interaction method are significantly better than those of the joystick interaction method. It shows that the integration of the entity tracker interaction technology into the interior design project enhances the user’s visual experience, achieves the immersive effect, and is able to carry out autonomous interaction, reflecting the feasibility of VR technology used in the design of interior decoration programs.
Research on future-oriented human resource management technology innovation path based on the perspective of intelligent system
Authors: Xing Xin 
Published: December 2024

Abstract
This paper realizes the research on the innovation path of human resource management technology by constructing an intelligent system for future human resource management. Establish the data source, process the data, and explain the SSH framework, KNN algorithm, and Bayesian network for the upcoming intelligent system of human resource management. According to the analysis of system requirements, determine the functional module design and database design of the system, and synthesize the corresponding development tools and hardware equipment to complete the design of the system. Comprehensive research data is provided to analyze the intelligent system in this paper. After analyzing, it is concluded that both in the rate of checking completeness and accuracy, the FW-KNN algorithm is 0%~4% higher than other control algorithms. In addition, the comprehensive check accuracy rate of the Bayesian network for employee departure prediction is 0.97743, the percentage of users who expressed satisfaction with the functional modules of the system is 44.00~58.00%, while the more satisfied is 21.00~30.00%, in general, the users maintain a satisfactory experience attitude towards the functional modules of the system in this paper.
Studies on the Development of Rejuvenation Design Style of Shanghai Culture Time-Honored Brands Based on VAR Model
Authors: Yu Zhihong 
Published: December 2024

Abstract
In this paper, firstly, AHP hierarchical analysis was used to understand young people’s needs for new Shanghai culture products and their concerns about the integration of new Shanghai culture elements into the design process. The relationship between different new Shanghai culture product design styles and product experience is generated using the VAR model based on the comprehensive evaluation of product experience. The findings indicate that the corresponding design styles have an effect on the product experience, which aids in the subsequent innovation and development of new Shanghai culture design. Also, the results show that a total of 32 demands were obtained by expanding from four dimensions: appearance, function, psychology, and economy. Finally, it was found that three elements, such as high color saturation, variety of colors, and centered patterns, have a significant positive influence on young people’s product experience (P<0.05).
Equity analysis of regional human resource allocation in higher education
Authors: Zhong Xiaorong 
Published: December 2024

Abstract
Higher education, as the most important link in the national education system, shows an imbalance in the allocation of its human resources in both time and space. In view of this, this paper uses the DEA-BCC model and the spatial measurement model to construct a higher education human resource allocation efficiency measurement model, which is used to analyze in depth the imbalanced state of regional allocation of higher education human resources in China. The model is utilized to conduct empirical research on the equity of regional human resource allocation in higher education. To explore the higher education human resource allocation efficiency and its spatial status in three major regions (31 provinces) of China from 2016-2023. Using statistical data, the number of full-time teachers, the number of enrolled students, and the teacher-student ratio in higher education in each region are analyzed. The mean values of higher education human resource allocation efficiency in the three major regions of China, from high to low, are in the central region (0.988), the eastern region (0.953), and the western region (0.928). Among the 31 provinces, Beijing, Shanghai and Henan have the highest value of technical efficiency (1.000), the lowest value of technical efficiency in Tibet (0.768), and the national average value of technical efficiency is 0.950. The eastern region has more faculty and educated groups than the central and western regions. The average faculty-to-student ratios in the three regions in 2020 are 1:16.04, 1:20.25, and 1: 17.53, all of which have room for adjustment.
Design of a Distributed Computing Framework for Electricity Retail Market Settlement
Authors: Zhu Wenjun , Zheng Yingkai , Yao Liming , Gan Beiyu , Chen Yuguo 
Published: December 2024

Abstract
A fair and reasonable electricity settlement mechanism in the electricity market is a key factor for the successful operation of the market. Based on the systematic analysis of the trading mechanism of the electricity retail market, the study proposes a distributed computing framework based on the settlement of the electricity retail market. In view of the settlement price problem in the retail market, a mixed-dimension particle swarm algorithm is used to design a settlement price prediction model for the retail electricity market and to realize the construction of a mathematical model for electricity retail settlement. Comparison experiments of different prediction models are carried out with relevant data from two regions in a certain place, and it is found that the MD-PSO model in this paper has superior retail settlement price prediction accuracy and its performance in terms of RMSE values (210.614 and 126.832), MAE values (22.567 and 7.157), and MAPE values (20.729% and 8.614%) is better than that of the other models. The empirical analysis of the electricity retail settlement model is also carried out, and the settlement deviation is below 10% in all months except February and March, which proves the applicability and practical value of the electricity retail settlement model in this paper.
Changes in financial auditing and accounting information systems based on blockchain technology
Authors: Jia Yun , Jia Peng 
Published: December 2024

Abstract
Enterprise financial data, if not effective financial audit and control, will greatly affect the arrangement of enterprise funds planning and even affect the normal operation and development of the enterprise. This study constructs a financial audit risk identification model based on the D-S evidence theory and utilizes the output of financial audit risk data, such as the Dempster fusion rule fusion neural network. Then, based on the model and blockchain technology, we design an optimized change system for financial auditing and accounting information to achieve effective management and auditing of finance. The maximum response time is only 1.721s when the number of concurrent users of financial auditing and accounting information systems is 800, and the system performance is more stable. The results of the study show that after the application of the financial management system designed in this paper, the enterprise’s shareholders’ equity turnover ratio has decreased and the operating capacity has improved. Meanwhile, the net profit growth rate of the enterprise at the beginning of 2024 (43.26%) is higher than the sales growth rate (41.51%). The profitability is improving slowly, and the growth potential is gradually increasing. The system proposed in this paper can assist the enterprise’s financial internal control personnel to solve the problems in the enterprise’s internal control, improve the efficiency of the enterprise’s financial internal control, and provide a reference for other small and medium-sized enterprises.
A model for evaluating the effectiveness of virtual reality technology in teaching table tennis in colleges and universities
Authors: Cao Lichun , Wang Lin 
Published: December 2024

Abstract
The use of virtual reality technology in college table tennis teaching is conducive to the use of information technology to optimize the teaching experience and rational allocation of teaching resources. This paper proposes a table tennis virtual teaching system and constructs a three-dimensional assessment model of table tennis technique and tactics, which realizes a comprehensive assessment of the effect of virtual reality teaching from three dimensions: technical application, confrontation between the two sides and the overall strength dimension. A student who received virtual reality instruction was selected to apply the system to evaluate the application’s effect. The results showed that the student scored 55.02% in the average value of the scoring rate of the hair grab section and 18 “excellent” in the scoring rate of the holding I section, which is a good level of table tennis technique and tactics. The experiment also shows that the use of virtual reality technology can help enhance students’ interest in table tennis.
Chinese Narrative Discourse Construction and Foreign Cultural Communication Strategies from a Cross-cultural Perspective
Authors: Yang Yanmin 
Published: December 2024

Abstract
Chinese discourse and the Chinese narrative system are not only the theoretical basis and discourse framework for telling Chinese culture well but also the theoretical resources that must be relied upon in the external communication of Chinese culture. In this study, we design the process of constructing Chinese narrative discourse based on the perspective of cross-cultural communication and the characteristics of social media and propose a strategy for the external communication of Chinese culture based on this construction method. Subsequently, we crawl the online text data in cultural communication, use BERT and BI-LSTM models to extract the emotion-related information in the comment text and use the SoftMax function to classify and process the emotion polarity in order to explore the effect of foreign cultural communication. The results show that the cultural communication video uploaded through the communication strategy has achieved a better communication effect on the TikTok social platform, and the total number of likes of the video is more than 52.88M. It is also found that positive positive emotions dominate overseas netizens’ comments on videos related to cultural communication, and the proportion of positive, positive emotions comments reaches 73.76%, showing a strong positive attitude towards Chinese culture. The foreign cultural communication strategies proposed in this paper, in combination with Chinese narrative discourse, can overcome the current barriers to cross-cultural communication and enhance the overseas influence of Chinese culture.
Research on Intelligent Extraction and Generative Design Creation of Cultural Heritage Image Elements Based on Visual Recognition and Machine Learning
Authors: Chen Lingyun 
Published: December 2024

Abstract
In this paper, machine learning and computer vision image segmentation methods are used to achieve classification of images and recognition and extraction of pattern elements. It also extracts colors from the imagery using intelligent image processing techniques, such as preprocessing and color clustering of Tangshan shadow images, and displays the results of color resolution. The accuracy of this paper’s method is reflected in the recognition and extraction of cultural heritage food images, as shown in the results. Tangshan shadow image elements are clustered into five categories, the proportion of colours used in Xiaodan are all between 0~12.5%~25%, and the proportion of high saturation in all five categories is more than 60%. The highest percentage of high brightness in Xiaodan colors is 36.2%. Applying Tangshan shadow image elements and color features to the brand logo and packaging design, a significant portion of respondents said they were very satisfied with the visual effect. The image elements and applications of cultural heritage also provide new perspectives and theoretical basis for modern visual design.
A Comparative Study of Chinese and Western Pastry Production Processes--Taking Classic Bread and Chinese Steamed Buns as Examples
Authors: Li Xu , Ding Jianjun 
Published: December 2024

Abstract
With the improvement in living standards, people gradually have higher requirements for dietary levels, and pasta, as one of the mainstream food types in daily life, has received wider attention. This study investigates the production process of Chinese and Western pastries. The process of dough production and fermentation in pastry production are analyzed in detail, and the fermentation process of dough production is analyzed and compared with Chinese steamed buns and Western classic bread as examples. It was found that when the amount of flour was 100g, the quality of steamed bread was better when the amount of old flour added to the steamed bread was 56g, the amount of water added to the steamed bread reached 40.3ml, and the rise time was 60.9min. The best quality of western-style bread was achieved when the fermentation time was 118.9min under the flour dosage of 100g, and the fermentation temperature was 34.5°C. The comparison indicates that Chinese buns have a shorter fermentation time. In terms of fermentation temperature, the differences between Chinese and Western doughs were small, 35.0 and 34.5°C, respectively, and in addition, the differences in the amount of water added and the amount of yeast were small, 50g and 2g, respectively. In this paper, the differences between Chinese and Western pastry production processes are summarized through comparison. On the basis of this study puts forward a prospect for the integration and development of Chinese and Western pastry, aiming to carry forward the food culture of Chinese and Western pastry and promote the diversified and sustainable development of Chinese and Western pastry.
Constructing and Empirical Research on English Teaching Models for Teachers’ Training in Informatisation Environment
Authors: Lei Anle 
Published: December 2024

Abstract
The age of information technology has made a great impact on the traditional teaching mode. Based on the demand for education to keep pace with the times, this paper uses the BOPPPS model and the blended teaching model to improve the traditional teacher training English teaching model and construct a blended teaching model of teacher training English based on BOPPPS. The evaluation results of teachers and students of teacher-student colleges on the teaching model of this paper are obtained through empirical research, and the teaching effect of the BOPPPS blended teaching model of this paper is examined by using the independent sample t-test method. Teachers and students of the selected teacher-student colleges and universities scored more than 4 points on the primary and secondary indicators of the teaching evaluation system, and the teachers and students were generally satisfied with the BOPPPS-based blended teaching model of teacher-training English. There was no significant difference in independent learning ability and English proficiency between the experimental group and the control group prior to the experiment. After the experiment, the independent learning ability of the experimental group increased by 15.316 points, while the control group decreased by -1.896, and the P-value of the two groups was less than 0.05. The English proficiency of the experimental group and the control group improved after the experiment, and the increase of the experimental group was 46.003, while the increase of the control group was 8.543, and the P-value of the two groups is <0.05. After the experiment, the difference between the experimental group and the control group in terms of independent learning ability and English proficiency is significant, and the mixed teaching model of teacher training English based on BOPPPS can effectively improve students’ independent learning ability and English proficiency.
Construction and Optimisation of Intelligent Supply Chain Management System in Petroleum and Petrochemical Enterprises
Authors: Cai Dengjiang 
Published: December 2024

Abstract
Intelligent management of the supply chain is the key to reducing operational risks, improving management levels and saving costs in petroleum and petrochemical enterprises. This paper takes the petroleum equipment manufacturing enterprise as an example, manages the information and functional requirements of its upstream and downstream enterprises collaboratively, and constructs a supply chain management system with multilevel inventory, which realizes the fine management of the inventory quantity and makes the supply chain more coordinated and continuous. It also models the management objectives of multilevel inventory and solves them using a genetic algorithm to provide a feasible supply chain management scheme. Taking Company F as an example for the case study, it is concluded that Company F has the lowest expected cost of replenishment (27,235,478.21yuan) when choosing S1, S4, S5, and S6 as the suppliers in the collaborative replenishment process, and it is also found that the total quantity of inventory in the company when using the intelligent management system of this paper is reduced by 47.96% compared with the pre-optimization period, and the total amount of inventory is reduced by 52.11%, and the area of the warehouse is saved by about 48.5%.
The Application of Multimedia Technology in Enhancing English Reading Comprehension Teaching
Authors: Yan Xin , Zhang Tingting 
Published: December 2024

Abstract
The application of multimedia in English reading teaching can stimulate students’ enthusiasm for English learning and improve students’ classroom listening efficiency. This paper focuses on the characteristics and roles of multimedia technology applied to English reading teaching and proposes innovative teaching methods based on multimedia to realize the communication between teachers and students in a multimedia environment, the optimal integration of multimedia and traditional teaching, and the scientific design of multimedia teaching content. The innovative teaching methods were applied to a school, and a semester teaching experiment was conducted for two classes. At the conclusion of the semester, the experimental class scores saw a significant increase from 50.18 to 76.26 on the pre-test. The control class used the traditional teaching mode without any multimedia application, the teaching effect was average, and there was even a regression of students’ reading comprehension ability in some of the examined items, and there was no significant change in the distribution of the intervals. In the experimental class, in the application of multimedia reading comprehension teaching mode, the grades step up and gradually improve, the results of the interval distribution of the high scores of the progress of the section, the end of the period more than 90 points for 12 students. 85% of the experimental class students think that multimedia technology is an important reason for improving their grades. To sum up, multimedia teaching can provide scientific and reasonable course content and teaching arrangements, maximize teaching efficiency, and make significant progress in students’ reading comprehension abilities.
Intelligent Interactive System Design and Human-Computer Collaboration Mechanism for Virtual Teachers in English Language Education
Authors: Zhang Tingting , Yan Xin 
Published: December 2024

Abstract
The virtual teacher, as a product of the artificial intelligence era, can provide effective teaching services in the English education sink of colleges and universities. This paper builds up an intelligent interaction system for virtual teachers and proposes a human-computer cooperative mechanism for English education based on it. The function of the virtual teacher system is achieved through the use of human body movement and face reconstruction technology. The depth data of the human body is collected, a dynamic light projection algorithm reconstructs the 3D model of the human body movement, and the posture of the human body is weighted and matched by a multi-feature fusion algorithm. Kalman filter is used to obtain stable face expression data, and the Blendshape model is driven to generate expressions. Subsequently, the system application practice is carried out, and the reconstruction accuracy of various types of facial expressions of this paper’s face reconstruction technology is more than 90%, and the reconstructed human action matches the actual action to a high degree. The application of the human-computer cooperative mechanism of this paper’s English teaching effect is achieved by setting up experimental and control classes to carry out an empirical analysis of English teaching. The experimental class utilizing the human-computer synergistic mechanism shows a significant increase in the dimensions of motivation and learning experience compared with the experimental class (P<0.05).
Research on Effective Information Extraction Techniques for Multi-Round Dialogues of Large-Scale Models in Deep Learning Environment
Authors: Hu Hao , Xiang Zenghui , Li Jinhui , Gao Hua , Wang Shenran 
Published: December 2024

Abstract
With the rise of deep learning technology, natural language processing applications have made significant progress, especially in the construction of large-scale model multi-round dialogue systems. The article proposes a multi-round dialogue intention recognition model based on the Transformer framework, which is applied to large-scale model multi-round dialogue and combined with the BERT-BiLSTM-CRF model to achieve effective extraction of multi-round dialogue information. The BERT model is used to obtain the relevant semantic vector information features of multi-round dialogues, and the BiLSTM model is used to annotate the sequences of multi-round dialogues, taking the sequential sequences of multi-round dialogues as the forward inputs and the reverse sequences as the backward inputs, so as to enhance the generation of temporal features of the dialogue information. The output of the BiLSTM model is then used as the input of the conditional random field, and the transfer characteristics between dialogue labels are fully considered to obtain the address annotation sequence with the largest joint probability to achieve effective extraction of dialogue information. To verify the feasibility of the model for effectively extracting multi-round dialogue information, simulations are carried out in this paper. The F1 value of the BERT-BiLSTM-CRF model for semantic extraction on the ATIS dataset is 96.09%, which is 3.65 percentage points higher than that of the BiLSTM-CRF model. As the number of iterations increases, the model’s loss value stably converges to 0.54 after the 10th iteration. Based on the BERT model, the combination of the BiLSTM model and the CRF model can achieve the effective extraction of semantic information from large-scale models for multi-round dialogues, which provides a new research direction for natural language processing.