bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Optimization of Enterprise Resource Economic Benefits and Management Costs in Cloud Computing Environment
Authors: Xue Qianqian 
Published: October 2024

Abstract
Based on cloud computing technology, this paper constructs a benefit-optimal enterprise resource scheduling model and an enterprise cost management prediction model to maximize the economic benefits of enterprise resources and optimize the management costs, respectively. Combining the improved greedy algorithm and the benefit function, a cloud resource scheduling algorithm based on benefit optimization is proposed, defining the benefit function about time and cost, and taking the highest user satisfaction as the optimal resource scheduling objective. A mathematical model for management cost prediction is constructed by using the fireworks algorithm to optimize the number of trees and the number of leaf nodes in the random forest, and the Informatica software is used to manage and integrate the enterprise source data. The performance of the company’s operating conditions after optimizing resource management and cost savings is explored as a case study of Company S. In 2023, the total asset turnover ratio of Company S increased to 21.45 from 0.48 in 2022, and the overall asset operating efficiency improved. Working capital rose to 262,852,200 yuan. The current ratio, quick ratio, and cash ratio improved, while the gearing ratio, equity ratio, and equity multiplier showed a downward trend. The net operating margin achieved the maximum profitability in the last three years, net total assets margin, and net equity margin, with an increase of 25.42%, 20.65%, and 31.49%, respectively.
A neural network-based model for cross-border e-commerce supply chain demand forecasting and inventory optimization
Authors: Yang Weimin 
Published: October 2024

Abstract
The development of the Internet makes the e-commerce transaction scale in the total global trade share grow year by year, and cross-border e-commerce has become an important growth point of global trade by virtue of its unique advantages. In this paper, the ARIMA model is used to obtain the time series demand change of a cross-border e-commerce supply chain, and the results are input into the LSTM model to realize the construction of a cross-border e-commerce supply chain demand forecasting model. The ABC inventory classification method and economic lot ordering model are used as the basis for the establishment of cross-border e-commerce supply chain inventory control strategies and multi-cycle inventory control models. Taking the sales data of WT enterprise from May 2022 to May 2023 as an example, the effectiveness of the ARIMA-LSTM model in cross-border e-commerce supply chain demand forecasting is analyzed, and the inventory control optimization results of the multi-period inventory control model are verified. The relative error fluctuation range of supply chain demand forecasting of the ARIMA-LSTM model is between [-0.1,0.2], and the cross-border e-commerce supply chain’s monthly demand forecast MAPE value is only 0.0135. After using the inventory control optimization model, the annual average inventory is reduced by 178.42 tons, and the total cost of inventory is reduced by 0.09*108 yuan. Relying on neural networks can achieve accurate prediction of cross-border e-commerce supply chain demand and optimize cross-border e-commerce supply chain inventory.
Research on Intelligent Equipment Procurement Strategy and Optimized Resource Allocation Based on Big Data
Authors: Yin Tiehong 
Published: October 2024

Abstract
The intelligent equipment manufacturing cycle is long, resource consumption is large, in the manufacturing process often needs for different production stages to take multiple batches of resource procurement strategy and resource optimization configuration. Based on this situation, this paper proposes an intelligent equipment procurement strategy and resource optimization design. The problem description is established, the variables and constraints are introduced, and the construction of the objective optimization model is completed. The corresponding optimization model is solved using the improved Gray Wolf algorithm and the improved differential evolution algorithm. After the training and optimization of the improved gray wolf algorithm, the total cost of intelligent equipment procurement is 180150 yuan, and the procurement strategy is to select the preferred supplier at the corresponding point in time, according to which the procurement strategy can be a realistic intelligent equipment procurement task. In addition, the average deviation of resource optimization allocation based on the improved differential algorithm is only 0.35%, which is better than the performance of the traditional differential algorithm and genetic algorithm, confirming the feasibility of this paper’s algorithm in intelligent equipment resource allocation optimization model aiming at cost optimization.
An assessment of the impact of the digital economy on the adaptive reform of the tax system based on data analysis
Authors: He Haidong 
Published: October 2024

Abstract
The digital economy is playing an increasingly important role in economic development and has a non-negligible impact on the innovative development of the tax system. The study measures two aspects of the digital economy and the effectiveness of tax system reform (tax governance capacity and tax administration efficiency) and constructs a benchmark model through a panel Tobit regression model and a spatial regression model. The impact of the digital economy on the effectiveness of tax system reform is empirically analyzed. The digital economy shows a significant correlation with the effectiveness of tax system reform. The regression coefficients of the digital economy on the effectiveness of tax system reform in the eastern, central, and western regions are 1.586, -1.762, and 2.153, respectively. The differences in the coefficients between the groups in the east and the center and the west and the center are 3.486 and 3.896, respectively, which indicates that the development of the digital economy has a more significant effect on the improvement of the effectiveness of tax system reform in the western region and the east. However, it is less beneficial to the effectiveness of the reform of the tax system in the central region than in the central region. The effect of tax system reform is less beneficial. The digital economy can play a significant role in promoting the reform of the tax system in both regions with high and low levels of human capital, but it has a greater effect on improving the effectiveness of the reform of the tax system in regions with high human capital.
Research and Practical Exploration of Innovative Pedagogy of Civic and Political Education Content in Colleges and Universities Facing the Digital Era
Authors: Cheng Beibei 
Published: October 2024

Abstract
The advancement of information technology in the digital era has raised the standards for the content and methods of civic and political education in colleges and universities. This paper utilizes knowledge mapping technology as its foundation, integrates resources from civic and political education in colleges and universities, and builds a knowledge mapping system for civic and political courses. This system enables the digital and intelligent development of civic and political education in these institutions. The entities of Civics and Political Science courses are obtained through the Hidden Markov Model and BiLSTM-CRF model; semi-structured and unstructured data are crawled from web pages to constitute the entity relations of the Civics and Political Science domain, and the knowledge of Civics and Political Science courses is fused by using the double-layer filtering method. In addition, this paper constructs a Civics knowledge mapping system, which includes data modules and application modules, to visualize the complexity of the Civics knowledge system. This system is then applied to the practice of Civics teaching in colleges and universities. Based on the empirical analysis of the TAM model, it is concluded that the mean value of five potential variables (PEU, PUA, TU, BI, and SU) of the Civic Political Knowledge Mapping System constructed in this paper is high, and the acceptance of the system by students is long. The implementation of this paper’s system in actual teaching can significantly improve the overall civics learning objectives of the class.
Innovative Research on Illustration Design Integrating Color Science and Image Processing Technology
Authors: Zhou Guobao , Bai Guiwei 
Published: October 2024

Abstract
How to create intelligently and efficiently has become a hot research topic in the field of illustration design. In this paper, starting from the acceptance intention to satisfy users’ favorites and needs, we propose an intelligent analysis method of style based on a deep clustering model and use the categorized style attributes as a reference to disperse designers’ creative thinking. In addition, a semi-supervised semantic segmentation method is introduced to construct an automatic coloring model for sketches, and the automatic coloring function is realized by incorporating the color label recognition process, which further improves the efficiency of designers’ work. The results of clustering analysis of the STL dataset show that the ACC (78.39%), NMI (67.78%), and ARI (62.93%) metrics of the VIT+K-Means model have the largest results compared with other feature extraction methods. Results are superior to other feature extraction methods. Not only that, adding a pseudo-label retraining process for this model further improves the results of the three metrics by 9.13%, 9.97%, and 10.78%, and the visual analysis experiments of clustering clusters also verified the performance enhancement effect. In the comparative analysis of illustration coloring models, the AdvSSL scheme with semi-supervised strategy achieves the best performance in the semantic segmentation task, with an improvement of 4.31% and 2.29% over the SSAN scheme and the S4GCN scheme, respectively. The experts’ coloring evaluation shows that the improved sketch coloring model has the highest results in all four dimensions compared to the traditional Tag2Pix model.
Research on Augmented Reality Teaching Strategies for Civics Courses Oriented to History Education
Authors: Du Yunnan 
Published: October 2024

Abstract
In the context of comprehensively promoting information-based teaching, the construction of school classrooms is also developing in the direction of specialization, connotation as well as intelligence. The article designs a learning system for augmented technology in the context of augmented reality technology. The AR image-matching algorithm is proposed through the study of the system, and then the traditional KCF algorithm is improved, and a target tracking algorithm based on fusion matching is obtained by fusing the improved KCF algorithm with the image-matching algorithm. Then, the target is judged whether the target is lost or not by comparing the magnitude of the peak value (PSR) and the empirical value, and the test results show that the improved KCF has stronger target tracking utility. Subsequently, target tracking experiments were conducted using the fusion matching-based target tracking algorithm on students’ expressions in the classroom as well as head-up rate and concentration, while the accuracy of both experiments ranged from 83% to 95%. Thus, the algorithm performed better. Finally, a goal-tracking system was conducted for civics teaching with 75 students from University A. The results were based on the mean changes before and after the seven dimensions of the Civics course. It was found that after using the goal tracking system, the students’ post-test means all changed, of which the largest change in the score mean was historicism, with a difference of 21.04 between the before and after meals and the most obvious educational effect. It is favorable for teachers to conduct civics lessons to improve students’ learning status and performance.
Research on Clothing Brand Marketing Strategy Based on E-commerce Webcasting in the Internet Era
Authors: Chen Nuo 
Published: October 2024

Abstract
In recent years, with the rapid development of the Internet, e-commerce webcasting, as a new type of marketing method, has gradually been favored by clothing brands. The study constructed a model of factors influencing consumer purchase intention in live broadcasting e-commerce based on the SOR model, followed by hypotheses. An empirical study was conducted by distributing questionnaires to the consumer population watching live e-commerce streams. This paper recovered 388 valid questionnaires and used the PLS-SEM structural analysis method and factor analysis to conduct relevant test studies on each of the proposed variables. The empirical study of the five stimulus variables through structural equations concludes that all five stimulus variables are impacted by consumers’ purchase intention, with situational characteristics having the most significant impact on consumers’ perceived pleasure. Lastly, the derived influencing factors confirm the results. The proposal suggests a strategic approach to enhance the marketing of e-commerce clothing brands.
A qualitative study of undergraduate nursing students’ experience of clinical placement based on Nvivo software - a service learning theory perspective
Authors: Zhao Chong , Chen Juan , Li Linna , Gui Shuying , Zhou Qianqian 
Published: October 2024

Abstract

OBJECTIVE
To explore the experiences and feelings of undergraduate nursing students during their 4-month clinical placement through the lens of service learning theory.

METHODS
A semi-structured questionnaire survey was conducted on 233 undergraduate nursing students who had completed their internships, and the content of the questionnaire was analyzed according to the rootedness theory using Nvivo 12.0 software.

RESULTS
The interns thought that internship could appreciate the insufficiency of their knowledge and ability, and through the tutoring teachers’ counseling and their self-study could be of obvious help to the consolidation of knowledge and skills, especially to the enhancement of communication and collaboration ability, clinical practice ability, and professional and related knowledge; humanistic care and nurse-patient relationship in the internship process were the main factors for the development of emotion, and successful humanistic care could enhance the nurse-patient relationship, and the failed operation and ineffective communication can also experience verbal violence; internship experience can form professional confusion and professional identity.

CONCLUSION
The use of learning and reflection promotes clinical nursing competence; both humanistic care competence and timely care for interns should be assessed, and career counseling promotes the formation of professional identity.
Application of composite materials in aircraft power engineering and their optimized design
Authors: Feng Xuqin 
Published: October 2024

Abstract
The aeroelastic flutter characteristics of composite wall plate structures of aircraft are investigated, the equations of motion of the structures are established by Hamilton’s principle and assumed modal method, and the aerodynamic forces of the aircraft are simulated by using piston theory. Physical quantities such as the intrinsic frequency and damping ratio of the structure can be obtained by solving the eigenvalue problem. The variation curves of the dimensionless intrinsic frequency of the structure with the aerodynamic pressure are numerically calculated to determine the critical aerodynamic pressure for flutter vibration, and the time response history curves of the structure for forced vibration are computed to analyze and compare the effects of graphene and carbon nanotube materials on the aerodynamic-elastic stability of the composite wall plate structure. It is found that the critical aerodynamic pressure of the FGM wall plate composed of carbon nano-(Si3N4) and graphene (SUS304) composites is 762 KPa at the temperature of 0°C. The calculated results show that the critical flutter dynamic pressure of the composite wall plate is increased from 375.6 Kpa to 433.1 Kpa, with an improvement in performance of 57.5 Kpa. The results of this paper are useful for the application of composites in the flight vehicle. The results of this paper are of theoretical reference value for the application of composites in power engineering and the optimization of the aeroelastic stability of the wall plate structure of the aircraft.
Study on the Path to Improve the Sustainability Responsibility of Biomedical Enterprises Driven by Data
Authors: Shen Xi 
Published: October 2024

Abstract
In today’s complex, changing, and competitive market environment, active and serious fulfillment of social responsibility is one of the important strategies for enterprises to gain competitive advantage. This paper combines relevant literature to construct the performance index system of sustainable development responsibility of biomedical enterprises, and then determines the weights of the evaluation index system based on game theory by jointly applying the Gl method and the CRITIC method, and constructs a fuzzy comprehensive evaluation model for the evaluation of sustainable development responsibility of biomedical enterprises. Based on this, relevant sample data of biomedical enterprises are crawled through data-driven technology to measure the fulfillment of sustainable development responsibility of the sample enterprises and further combined with structural equation modeling to explore the improvement path of sustainable development responsibility. The sample biopharmaceutical enterprises are affiliated with either poor or poor, except for the overall responsibility of the sample biopharmaceutical enterprises in 2017, 2019, and 2022, which are in the middle. Responsibility to employees (ER), responsibility to consumers (CR), responsibility to society and government (GR), responsibility to the environment (IR), and responsibility to suppliers (SR) all significantly and positively affect the sustainability responsibility of biopharmaceutical companies (all p < 0.01). Biopharmaceutical enterprises should serve society with more scientific concepts, leaner management, and safer and more reliable pharmaceutical products to achieve sustainable development and gain wider social recognition.
Synergistic optimization of rural green eco-tourism industry chain under the support of information technology
Authors: Li Jiao 
Published: October 2024

Abstract
At present, the full development of tourism and other tertiary industries has gradually become the economic driving force of the countryside, but the negative impact on the countryside environment is becoming more and more prominent. Therefore, achieving the synergy optimization of rural green ecology and the tourism industry is a problem that needs to be solved. In this paper, starting from the rural green ecological tourism information, through the analysis of the basic elements of tourism information and the sampling of tourism information data, we construct a data feature extraction sampling model based on distributed detection, which is used for the reconstruction of the collection of tourism information data to ensure the effectiveness of information processing. Utilizing the method of fuzzy clustering, mining tourism information data, establishing the data distribution function, and collecting tourism information data features. The model is applied in practice to predict the level of tourist consumption and the daily flow of tourists in tourist attractions, and the results show that the monthly consumption of tourists in the year of the study area is 44.08 yuan less than that of the previous year, so it is necessary to adjust the tourism policy to stimulate consumption. In the coupling coordination degree of informationization and tourism industry development, it is found that the index of informationization application level has a faster rate of improvement than other indexes, with an increase of 546.09% between 2017-2018, and the index data of industrial benefits basically achieve an annual increment, reaching 0.4215 in 2021.
Research on Supply Chain Network Optimization under Cross-border Industrial Cooperation Model Based on Dual Carbon Objectives
Authors: Miao Yang , Yang Le , Tian Yule 
Published: October 2024

Abstract
Under the background of economic globalization, green supply chain management has become a key strategic management tool for enterprises to improve their competitiveness as well as sustainable development. This paper proposes the objective function and constraints in supply chain network optimization based on the policies related to the dual-carbon target and the requirements in the cross-border industrial cooperation model and uses the robust model to solve and realize the establishment of the supply chain network optimization model. The simulation test found that the solving efficiency of this model and the control of carbon emissions are better than the traditional genetic algorithm. Meanwhile, after the optimization of this model, the supplier delivery rate of cross-border enterprise Y can reach 91.28%, which is far beyond the target expectation, and the carbon emission of the enterprise is far below the carbon emission limit, so the green cross-border supply chain network can be realized. The model in this paper can improve the weak link in the green management decision of cross-border supply chain network, strengthen the application of a robust model in the design and optimization of cross-border supply chain network, and provide auxiliary decision-making support for the construction of cross-border supply chain network scientifically and effectively.
Research on Physical Training Helping College Students’ Physical Fitness and Health Quality Development in the Context of “Healthy China”
Authors: Ren Limin , Zhang Liang 
Published: October 2024

Abstract
In the face of the current dilemma and predicament of students’ physical health, it has become inevitable to incorporate health education into the national education system, with the help of physical training to reshape cognition, establish beliefs, guide behavior, and other effective means, so as to achieve the fundamental purpose of improving the physical health of students. This paper takes college students’ physical health as the research object, carries out the research on efficient association rule mining algorithm for BMI index, uses Apriori association rule algorithm in R language data mining to carry out in-depth mining of physical health test data, and carries out in-depth comparative analysis and exploration of intrinsic information of physical test data of two academic years of 2022 grade in a school in a more detailed and in-depth way. A scientific guidance program for physical training is created using the collaborative filtering algorithm to support the high-quality development of college students’ physical fitness and health. The results of the study found that the correlation coefficient between physical training behavior and BMI index r = -0.753, confidence test value P = 0.0004 < 0.05, indicating that there is a significant negative correlation between students’ physical training behavior and BMI. That is, physical education and sports can significantly promote the physical health of college students, and ultimately, their BMI should fall within the normal range.