bluuebunny/crossref_metadata_2025_split huggingface dataset:
Model and economic analysis of hydrogen consumption from hydropower considering storage capacity
Authors: Xia Huaiping , Zhang Zhihui , Huang Xi , Chen Jixin , Peng Sha 
Published: May 2024

Abstract
Due to the characteristics of clean and efficient hydrogen energy and its wide application, hydropower hydrogen production has become one of the potential technical means to reduce the new energy abandonment rate, and its economic benefits are analyzed in this paper. After exploring the operation characteristics of hydropower plants, the paper examines the characteristics of water and energy abandonment in combination with the calculation method of hydropower plant power abandonment, mathematically models the relevant equipment of hydropower hydrogen generation and consumption mode, and establishes a hydrogen storage and consumption model considering the capacity of storage. Based on the economic index of hydropower hydrogen production, the storage capacity of the hydropower hydrogen consumption mode is configured by combining the two-layer planning algorithm. Finally, a simulation experiment is carried out to analyze the hydropower hydrogen consumption model established in the paper and explore the optimal storage settings for hydropower hydrogen consumption. The results show that the optimal energy storage capacity of the demonstration base is 1MWh kWh cost of electricity is 0.113 yuan/kWh respectively, the whole life cycle NPV is the largest, is 7.39×106 yuan, the daily profit including hydrogen sales, electricity sales, and energy sales is about 463,110,000 yuan, and the incremental daily profit is about 144,980,000 yuan. Based on this study, we aim to promote the sustainable development of the new energy economy.
Strategies for Teaching English in a Computer-Assisted Writing Learning Model
Authors: Li Yang , Liu Na 
Published: May 2024

Abstract
The computer-aided writing system first builds an English writing corpus, which mainly includes several aspects such as corpus selection, corpus preprocessing, formula algorithm design, sentence breaking, and judging whether the sentences are aligned or not. Anchor alignment cannot perform a job alone; it must work in conjunction with named entity recognition technology to study the connection and role between the two. Jieba participle utilizes the idea of the HMM model, which is researched and calculated by the Viterbi algorithm, to recognize new words outside the dictionary. A computer-assisted writing system is introduced into English language teaching to promote conscious and deep student participation, activate classroom teaching, and improve learning effectiveness. The results showed that there was also a significant correlation between text length and English writing ability (P=0.003) and on T-units and English writing ability (P=0.001). Statistical significance was reached for all three indicators of text length (P=0.001), T-units (P=0.001), and English writing proficiency (P=0.002) between groups of high and low subgroups. The vocabulary recommendation function usage record revealed that each student used it 6.21 times on average and had a liking for it 4.32 times on average. 20 students agreed that the system was helpful for their writing. The two groups of students’ writing scores differed significantly (0.001) from their respective pre-test scores. The computerized writing instruction system was more helpful for the student’s performance.
Construction of water supply and drainage fire water system of construction project under BIM technology
Authors: Chen Xinyan 
Published: May 2024

Abstract
The drainage and firefighting water systems are critical components of construction projects. Due to the complexity and multitude of piping systems, issues such as impractical space arrangements and pipeline collisions can arise during construction. BIM technology enhances the design quality and efficiency of these systems through parametric integration of building information and three-dimensional visualization modeling. Based on this research background, this paper firstly constructs the model of water supply and drainage and fire fighting water based on BIM technology, plays the scalability of Revit, carries out the secondary development of Revit, and completes the program development of water supply and drainage, and fire fighting water pipeline height detection and pipeline automatic avoidance function by combining with C# language. This paper takes a building in the Shangcheng District of Hangzhou City to conduct empirical research, and the results show that collision detection through BIM technology saves a lot of time, improves efficiency significantly, and has higher detection accuracy. In addition, this paper utilizes a comprehensive evaluation system to objectively evaluate the effects of drainage and firefighting water construction in construction projects based on BIM technology. This study uses BIM technology to realize further development and exploration in the process of building drainage and fire water construction, reduce the conflict points in the process of drainage and fire water design, and improve the detection efficiency and accuracy in the design process.
Construction Strategy of Regional Investment and Financial Management System under Spatial Effect Modeling
Authors: Li Jinxin , Zhang Benzhao 
Published: May 2024

Abstract
In recent years, China’s regional economic differences have become more and more apparent, and the problem of unbalanced allocation of financial resources has become more and more prominent. In this context, it is of great practical significance to study the construction strategy of regional investment and financial management systems using the spatial effect model. This study adopts the spatial econometric method to establish the spatial effect model. Considering the limitations of the spatial panel data model, this paper also uses the general dynamic spatial panel model with fixed effects to analyze the relationship between regional investment and the financial management system. Finally, through the Granger causality test on the spatial effect analysis of regional investment and financial management, this paper verifies the study of the interaction between the financial management system and regional investment. The research data show that in the spatial panel model, the regression coefficient of the explanatory variable F financial management system is 0.2431, which is significant at the 1% level, indicating that with a little increase in the degree of financial management system, the regional economy grows by 0.2431. The fixed effect general dynamic spatial panel model’s superiority is confirmed by the higher goodness of fit of the general dynamic spatial panel model compared to the spatial panel model.
Research on the Innovative Development of Digital Media Enabled by Computer Visual Arts
Authors: Dong Shuang 
Published: May 2024

Abstract
This paper explores the integration of computer visual art with digital media, highlighting the innovative potential of computer technology in creating dynamic digital media art. Initially, we review relevant theories of computer-based visual art and examine their applications in digital media art. We then detail an immersive scene design using Web3D technology, where images are processed via a computer vision camera imaging model, transformed, and analyzed with the SIFT algorithm to extract feature points. These are integrated with the incremental SFM algorithm for three-dimensional image reconstruction in immersive environments. We validate these methods with real datasets and controlled experiments to assess user experience improvements in digital media applications. Results indicate that the SIFT algorithm’s image-matching accuracy ranges from 50% to 78%, and the incremental SFM algorithm shows an average rotation error of only 0.183°. User sentiment scores improved significantly, from 11.583 to 23.452, post-experience, demonstrating enhanced realism and a new direction for digital media art.
Path optimization of enterprise economic management system in digital transformation
Authors: Yang Guang 
Published: May 2024

Abstract
In the digital economy era, digital transformation aligns with sustainable development and national policies. This research examines enterprise economic output through human and physical capital driven by digital transformation. Utilizing the TrAdaBoost algorithm in transfer learning, we predict economic risks for enterprises. We propose an optimization path for digital economic management systems. Furthermore, we empirically analyze the current financial management and challenges of digital transformation at Company X, laying the groundwork for identifying and analyzing digital transformation risks. Our findings indicate the significant influence of risk-free interest rate (0.1781), GDP (0.1732), and money supply (0.1668) on enterprise economic risk, guiding enterprises to mitigate these impacts during digital transformation.
The Construction of Teaching Reform Mode of University students’ Psychological health instruction Course under the Perspective of New Media
Authors: Wang Yanhua 
Published: May 2024

Abstract
The swift growth of the Internet era, fueled by new media technology, has led to transformative changes across various industries through modern network information. This paper presents a comprehensive model of psychological health instruction for college students, integrating new media technology and peer education principles to address the nuances of their psychological development. Additionally, it introduces an index to assess the effects of educational reforms on mental health instruction and applies regression analysis and factor analysis to identify key influencing factors. The state of psychological health education is evaluated using a fuzzy assessment method. In this comparative study on psychological instruction methods, the score for psychological health instruction reached 4.43, marking a 0.46 increase from the traditional educational approach. Empirical analysis reveals that the instructional effectiveness index for mental wellness instruction accumulates a participation value of 93.693%. This research has the potential to advance the psychological health of university students, enhance the overall impact of psychological health education, and offer useful insights into the evolution and reform of the mode of psychological health instruction for university students.
The Application of SPOC Teaching Model in Japanese Language Teaching
Authors: Zhang Hua 
Published: May 2024

Abstract
Currently, Japanese language courses in some colleges and universities are still based on didactic teaching, with a lack of interaction between teachers and students, which makes it challenging to meet the needs of students’ communicative ability development. This paper constructs a blended teaching model of the Japanese language in colleges and universities based on the SPOC teaching platform, selects two Japanese language parallel classes in the second year of a university in H city as the research object, and designs the relevant teaching process. Based on the students’ learning data in the SPOC teaching platform, the learners’ behavioral characteristics are analyzed. The K-Means algorithm is improved to obtain the optimal clustering center by using the density weights, and the learning characteristics are clustered. Then, the effectiveness of the SPOC teaching model was responded to by the teaching effect of students’ Japanese speaking and reading skills. In addition, the correlation between learner behavioral characteristics was analyzed using Pearson’s correlation coefficient. It was found that SPOC-based Japanese language teaching increased students’ willingness to learn independently by 5% to 31%, and students’ Japanese reading posttest scores in the experimental group increased by 5.123 points compared with the control group, and online learning behaviors showed a high degree of correlation with learning achievements. The application of the SPOC teaching mode in Japanese language teaching can effectively enhance students’ learning engagement, promote the enhancement of students’ intercultural communication skills, and provide a new path to improve the quality of Japanese language teaching.
Constructing a traction model of college students’ willingness to receive career guidance and employment motivation
Authors: Yu Yadong 
Published: May 2024

Abstract
In order to better solve the problems of college student’s unwillingness to be employed as well as the difficulty of employment, this paper firstly determines the evaluation indexes of employment guidance and motivation through interviewing college students and experts, constructs the judgment matrix of the evaluation indexes, and carries out consistency test and weight calculation of the judgment matrix by using the fuzzy hierarchical analysis algorithm. Based on the distribution of questionnaires to obtain research data, data analysis software is used to analyze the employment of college students, for example. The data show that the comprehensive evaluation scores of college students’ willingness to accept employment guidance and employment motivation are 3.024433 and 3.468838, respectively, which are between average (3.00) and sound (4.00), indicating that the experts in employment guidance maintain an optimistic attitude towards the evaluation of college students’ willingness to accept employment guidance and employment motivation in this college. The score of female students’ willingness to accept employment guidance (3.68113) is lower than male students’ willingness to accept employment guidance (3.80013), and there is no significant correlation P>0.05. This paper’s research has a significant impact on college students’ employment and sheds light on the employment issue in society.
The Coupling Effect of Traditional Culture and Rural Tourism Industry Development--The Case of Shandong Province Domain
Authors: Zhang Lingyun 
Published: May 2024

Abstract
While the rural tourism industry is developing and expanding rapidly, the structural adjustment and optimization of the traditional culture industry has also gradually attracted academic attention. This paper explores the deep integration of two industries based on the coupling mechanism of conventional culture and the development of rural tourism industries. Then, it constructs the index system of the development level of the traditional culture industry and rural tourism industry in Shandong, utilizes the entropy value method to calculate the weights of the indexes of the development level of the two industries, and adopts the linear weighting method to calculate the comprehensive evaluation value. Among them, “the development scale of the traditional culture industry (0.444)” and “the scale of the rural tourism industry (0.2918)” have the largest weight value. The comprehensive evaluation value of the development level of traditional culture and rural tourism industry of Shandong Province in 10 years rises respectively by Finally, by constructing the coupling degree model of conventional culture and rural tourism industry and the coupling coordination degree model, the stage-specific coupling evaluation of traditional culture and rural tourism industry is measured as 0.85<C≤1, which indicates that the development level of conventional culture and rural tourism industry of Shandong Province is in the stage of high coupling. The study provides a decision-making reference for promoting the high-quality development of traditional culture and rural tourism industries, which has important theoretical and practical significance.
Impact of 3D printing technology on the field of apparel design in the framework of intellectual property law
Authors: Cai Yingying 
Published: May 2024

Abstract
3D printing technology, with the development of science and technology, the application in the field of clothing can not be counted. In this paper, based on the design technology route of 3D printing clothing, we first establish parametric 3D three-dimensional clothing. After determining the constraints of the clothing curve, we generate the clothing parametric surface by interpolation and then adjust the horizontal mesh to generate the three-dimensional clothing model. The Gragh Cut algorithm is used to segment the garment image and extract the 3D garment contour features. Finally, the exploration of the aesthetic implication and modeling characteristics of 3D printed garments is launched, and examples analyze the aesthetic characteristics and comfort of 3D printed garments under different materials according to the characteristics of local decoration, functionality, parameterization, and so on. The impact of 3D printing technology on clothing design within the framework of intellectual property law is also being explored. The results show that the thermal comfort range of 3D printed garments is 24.1~26.6°C, and 3D printing materials with larger TCR can better regulate the comfort of garment design. This study explores parametric garment design using 3D printing, which is innovative.
Analysis of College Students’ Online Social Media Behavior and Its Impact on Mental Health
Authors: Chen Shaojie , Li Si , Chen Yuzhe , Lin Jianjun 
Published: May 2024

Abstract
To explore the correlation between college students’ social media behaviors and their mental health in the context of the network era in order to provide some empirical evidence for college students’ mental health education in the new period and new situation. In this paper, we first introduce the attention mechanism to optimize the LSTM network model to extract the features of college students’ online social media behaviors and combine it with the weighted cross-entropy cost function to improve the speed of the model when extracting behavioral features. Then, the fitness function of the genetic algorithm is used to analyze the distance between the feature samples, and the optimal features are selected through the selection strategy and cross-variance operation to obtain the college students’ online social media behavior. The analysis of the impact of social media behavior on mental health found that there is a significant difference in the level of misplaced fear and self-differentiation of students with different average use times of social media (P=0.024<0.05). The score of misplaced fear of students with a use time of less than 1h is only 22.18 points, and the level of self-differentiation reaches 119.86 points. The positive detection rate for depression was 82.61% among students who engaged in negative social media behavior for more than 6 hours. The analysis results of this paper provide reference data for managing college students’ social media behavior and new ideas for improving college students’ mental health.
The application of OBE fused with PDCA teaching model in teaching business English
Authors: Huang Guihong 
Published: May 2024

Abstract
Aiming at the problems existing in traditional business English teaching, this study, based on the OBE teaching concept, creates a business English teaching model consisting of two aspects, namely, the teacher-led PDCA major cycle of enhancing learning outcomes output and the student-led PDCA minor cycle of learning management. On this basis, the College of Foreign Languages of a university is taken as an example for practical application, and the PDCA+OBE business English teaching quality evaluation system is established. For the interval number judgment matrix, the interval number judgment matrix is decomposed. Then, the sorting weight vector of the interval number judgment matrix is calculated using the characteristic root method. The results show that reading (P = 0.005), listening (P = 0.032), speaking (P = 0.037), and translation skills improve significantly after PDCA+OEB business English teaching. In the quality evaluation, the teaching method has the most significant influence on the quality of business English teaching, and its weight reaches 0.323. Followed by teaching attitude, and its weight reaches 0.274. In conclusion, the PDCA+OBE business English teaching classroom can significantly improve the quality and effectiveness of teaching, and the students’ satisfaction is high.
Exploring the Feasibility of Integrating Marxist Philosophy into Teaching and Learning Reform in Colleges and Universities under the Architecture of Disciplinary Knowledge Mapping
Authors: Wang Jiyun 
Published: May 2024

Abstract
This paper centers on the research of integrating the teaching reform of Marxist philosophy. The study first constructs the architecture of disciplinary knowledge mapping, focusing on the design of entity recognition based on the BiLSTM CRF model and the joint entity relationship extraction model based on annotation strategy. Then, Marxist philosophy is incorporated into the construction of disciplinary knowledge ontology. Finally, the discipline-specific course corpus and data layer are constructed to explore the feasibility and nature of integrating Marxist philosophy into discipline knowledge mapping for teaching reform. Feedback survey on the four dimensions of Marxist philosophy from the cognitive, affective, and attitudinal aspects, the difference between the mean and standard deviation of the data of the two classes is slight. The significance of the four dimensions (two-tailed) is more significant than 0.05, and this study is generally applicable to the teaching reform of colleges and universities. After the teaching reform, students’ online learning behaviors increased, and test scores improved significantly, i.e., The teaching reform in colleges and universities integrating Marxist philosophy is feasible and effective.
Quality Analysis of Industry-Teaching Integration of Higher Vocational Boutique Courses - Based on Cluster Analysis Algorithm
Authors: Chen Chen , Song Peisen 
Published: May 2024

Abstract
With the rapid evolution of the socio-economic landscape and ongoing adjustments in industrial structures, the integration of industry and education has emerged as a pivotal strategy for enhancing vocational education. This approach is crucial for elevating teaching quality and fostering comprehensive student development. In this paper, we utilize cluster analysis to evaluate the integration of industry and education within higher vocational boutique courses. Z school was chosen for the study, where we collected a substantial dataset via questionnaires. We used factor analysis to extract significant influencers of course quality and then applied the K-means clustering algorithm to find the optimal center of mass for the integration. Our analysis distinguishes the disparities among different courses. The study finally classified the course quality into four categories: course A (14.25%), course B (31.25%), course C (33.00%), and course D (21.5). In terms of course quality, the highest-rated course was Course B, with an average score of 90.03, and the lowest-rated course was Course D, with an average score of 70.76, a difference of almost one-quarter. The level of course quality largely influences the results of course evaluation, but the degree of perceived interest and effectiveness are the key factors in improving course quality. The reform and development of higher education are strongly supported and referenced by this study.