bluuebunny/crossref_metadata_2025 huggingface dataset:
EMOTIONAL SHOPPING IN E-COMMERCE: HOW ARE URBAN ADOLESCENTS SPENDING DURING THE COVID-19 PANDEMIC?
Authors: Amanatin Elsa Lutmilarita , Wijaya Atika
Published: January 2024

The presence of Covid-19 has influenced various aspects of life, including buying and selling activities. This study aims to investigate the reasons for the emergence of emotional shopping behavior in e-commerce among adolescents in Tegal City during the Covid-19 pandemic. This study used a qualitative method with a case study among adolescents who use e-commerce. Data collection techniques in this study were conducted through semi-structured interviews with 7 main participants and 7 supporting participants, non-participant observation, and documentation studies. The triangulation technique method was used to obtain valid data by comparing data from observations, interviews, and documentation. The results of this study indicate that emotional shopping behavior by adolescents in Tegal City arises because of four main factors: insecurity, brand-minded lifestyle, joining the trends, and store atmosphere, which can further be seen as the embodiment of emotional shopping. Male adolescents tend the purchase goods to support their hobbies, while female adolescents to support their physical appearance. These findings can form the basis for further research in the field of consumer psychology and adolescent shopping behavior amidst the current online shopping trend, which has become increasingly dominant even after the pandemic has passed.
EVALUASI SUPPLIER OBAT DI PUSKESMAS XYZ DENGAN MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP)
Authors: Noor Nailie Azzat Nor Helmi Handayani, Gunawan Mohammad,
Published: January 2024

The problem with the XYZ Health Center is the slow delivery of goods and claims that are not handled properly and quickly, the number of items that are not in accordance with orders causes the availability of drug stock to become empty. Therefore, it is necessary to set standards in the selection of suppliers by determining the criteria and sub-criteria according to the policy of the Puskesmas in selecting suppliers to supply drug stock availability at the XYZ Puskesmas. The main objective of this research is to find the best supplier ranking according to the criteria and sub-criteria. The research uses the Analytical Hierarchy Process (AHP) method in decision making and expert choice software in processing the data from the questionnaire results. The research results obtained 5 criteria with 15 sub-criteria in selecting suppliers. The quality criteria with a weight of 0,2998 and the drug reliability sub-criteria with a weight of 0,1227 are the criteria and sub-criteria with the highest weighting results. Based on the ranking using the AHP method, PT A is an alternative supplier with the highest weight value, namely 0,2042 and a percentage of 20%, it can be concluded that PT A is the best supplier to be maintained.
Usulan Perbaikan Kualitas Layanan Service Mobil pada PT. Karisma Sejahtera Daihatsu Cabang Bojonegoro Menggunakan Kano Modeling
Authors: Abryandoko Eko Wahyu , Ashari Faisal
Published: January 2024

Kinerja produk/jasa dianggap memenuhi ekspektasi pelanggan harus dinilai dari tingkat kepuasan dan ketidak puasan. perusahaan perlu mulai memikirkan pentingnya pelayanaan pelanggan untuk meningkatkan kualitas pelayanan. PT. Karisma Sejahtera Daihatsu Cabang Bojonegoro selalu mengutamakan kualitas pemeliharaan yang tepat dan cepat yang sesuai standart yang telah ditentukan dalam program ICSK (Integrated Customer Satisfaction Kaizen). Namun terdapat permasalahan lain yang muncul yaitu kepuasan pelayanan pada saat waktu tunggu service mobil yang cukup lama dengan waktu 2 jam 30 menit. Perlunya peninggakatan pelayan pelanggan pada waktu tunggu menjadi perhatian penting perusahaan, maka tujuan penelitian ini adalah usulan perbaikan kualitas layanan pelanggan dengan waktu tunggu pada saat melakukan service mobil pada PT. Karisma Sejahtera Daihatsu Cabang Bojonegoro menggunakan pendekatan kano model. Hasil dari penelitian yaitu mengkategirkan atribut berdasarkan tingkat kepuasan pelanggan menggunakan pendekatan kano model sehingga memungkinkan perusahaan dapat meningkatkan pelayanan yang diharapkan oleh pelanggan.
Comparison of chlorine dioxide and chlorhexidine 2% antiseptic in reducing bacterial colony counts as an alternative to DUWLs cleaning: a quasi-experimental study
Authors: Elfiyatinnufus Rifqiyah , Mulyanti Sri , Utami Ulfah , Malinda Yuti , Laut Deru Marah
Published: January 2024

ABSTRACTIntroduction: The inner surfaces of dental unit waterlines (DUWLs) possess an accumulation of any bacteria. Microorganisms can enter dental unit waterlines from water reservoirs. Antiseptics are substances that inhibit the growth of bacteria. Chlorine dioxide is effective in decontaminating microbes in the DUWLs and has a beneficial effect on reducing nosocomial infections. Chlorhexidine effectively prevents the growth of Streptococcus bacteria. The addition of antiseptic agents to the water source contributed to a significant reduction of the cultivable microbial counts in the aerosol. The purpose of this study was to analyze the difference between Chlorine Dioxide 0,1% and Chlorhexidine 2% antiseptics on the number of bacterial colonies in the Dental Unit Waterline. Methods: This study was a quasi-experimental study with a total sample size of 8 dental units that have water tanks in the oral surgery clinic. The sampling technique was total sampling, where the sample was divided into 2 groups, group I using Chlorine Dioxide and group II using 2% Chlorhexidine calculation of colony counts unit using the plate count method. Results: The difference in the number of colonies before being given Chlorine Dioxide was 13,153 CFU/mL and after being given Chlorine Dioxide antiseptic was 6,070 CFU/mL, while before being given 2% Chlorhexidine antiseptic was 12,917 CFU/mL and after being given 2% Chlorhexidine antiseptic was 2,823 CFU/mL. There is a significant difference in the number of bacterial colonies before and after being given Chlorine Dioxide and Chlorhexidine 2% antiseptic with ρ=0.001; Conclusion:  Chlorhexidine 2% reduces bacterial colony forming unit in DUWLs much more than using Chlorine dioxide for the alternative of DUWLs Cleaning Agents.Keywords: DUWLs, chlorine dioxide, chlorhexidine 2%, bacterial colony counts
Antioxidant activity of roots, stems, and leaves Spatholobus littoralis Hassk.: an experimental study
Authors: Ariesanti Yessy , Wahyudina Salsa Putri , Poedjiastoeti Wiwiek , Angraini Yenni
Published: January 2024

ABSTRACTIntroduction: Tooth extraction is an action that will leave scars where the procedure is conducted. Post-extraction wounds will heal after going through 4 complex healing phases. Reactive Oxygen Species (ROS) play a role in wound healing, where antioxidants become substances that can control ROS levels in the body. Spatholobus littoralis Hassk., which comes from Central Kalimantan, has benefits in the wound healing phase. The aim of study was to analyze the effectiveness of Spatholobus littoralis Hassk., extracts on antioxidant activity. Methods: The type of research was an in vitro laboratory experimental study. Extracts of roots, stems, and leaves of Spatholobus littoralis Hassk. DPPH 2, 2-Diphenyl-1-picrylhydrazylradical as negative control, and Vitamin C as positive control were tested for antioxidants by using DPPH solution. Tests using a spectrophotometer with a wavelength of 517 nm were conducted after each sample was incubated for 30 minutes. Then, It would be calculated to determine the percentage of inhibition and IC50 of each sample. Data analysis used in this research was One-way ANOVA. Results: One-way ANOVA test showed no significant differences in the root extract, DPPH, and vitamin C groups; besides, there were significant differences in the stem and leaf extract groups. In the post hoc Tukey test, a concentration of 2500 ppm in stem extract was the most effective concentration, and a concentration of 2000 ppm in leaf extract was the most effective, with IC50 values from lowest to highest: stem extract (9.46), vitamin C (11.52), root extract (23.86), leaf extract (47.71), and DPPH (1660710) Conclusion: Extract of Spatholobus littoralis Hassk. has antioxidant activity, with the highest antioxidant activity in Spatholobus littoralis Hassk. stem extract, the most effective concentration is at 2500 ppm.Keywords: DPPH, reactive oxygen species, spatholobus littoralis Hassk.
The potential of the entomopathogenic fungus Beauveria bassiana to manage insect pests and diseases
Authors: Bahadur Amar
Published: January 2024

The saprophytic white muscardine fungus Beauveria bassiana (Balsamo) Vuillemin is a potential biocontrol agent against varied insect pests, is a commercially available mycopesticide in many countries, and is extensively used for insect pest management. It produces several metabolites, such as antibacterial, antifungal, cytotoxic, and insecticidal compounds that protect against insect pests and plant pathogens, with dual-purpose crop protection, a new concept in plant disease management. This insect pathogen is also beneficial to plant endophytes that are antagonistic to plant diseases and promote rhizosphere colonizers and plant growth, inducing systemic resistance. The induced systemic responses of fungal endophytes enhance genes that are expressed in pathogenesis and increase the production of pathogenesis-related proteins and defense enzymes. The fungus infects the insects by degrading mechanically and chemically their cuticles. It promotes plant growth, provides systemic protection against pests and pathogens in sustainable agricultural crop production, and reduces the usage of chemical pesticides.
Research on the Integration Path and Practice of AI Intelligent Technology and English Distance Education
Authors: Jiang Lijie
Published: January 2024

This paper introduces AI intelligence technology in English distance education and establishes a learning analytics model that includes information collection and acquisition, data storage, cleaning, integration, analysis, visualization, and action. Each component corresponds to a series of specific technologies and processes, and generates information such as learner portrait modeling profiling learning behaviors, using data mining to provide personalized learning solutions for learning. The assessment system is constructed from three perspectives: contextual, cognitive, and technological, which ensures accurate teaching for the personalized needs of English learners. It has been verified that the contextual interaction effect on students’ performance accounts for 78% of the total sample in the English distance education system after applying AI intelligent technology. Students in the experimental class showed positive interest in the distance education system 47.44±7.15, which was significantly higher than that of the control class 29.65±8.21. This integration model provides a new development direction for English distance education, and also provides strong support for personalized teaching and continuous optimization of the educational process.
Exploring the Perception of Nationality in Modern Japan from a Western Perspective in the Internet Era
Authors: Deng Lingzhi
Published: January 2024

Based on a Western perspective, this study utilized big data technology and web crawlers to obtain relevant ethnic and cultural information resources in Japan. Subsequently, these resources were sorted out, including the standardization and classification of content, to form a cultural resource base with national characteristics. At the same time, a BP neural network was used to evaluate the relevant factors. Finally, the accuracy and reliability of the model were verified by collecting relevant data and applying multiple linear regression methods. Among the positive probabilities, personal thoughts and social atmosphere were 0.8 and 0.66, respectively, which influenced the formation and orientation of the Japanese national cognitive structure to a certain extent. Traditional customs and religious beliefs are the factors that contribute the most to ethnicity cognition, with weights of 0.5474 and 0.4689, respectively. In the significance analysis, the p-values of dietary culture, dress culture and geographic environment are greater than 0.05, which indicates that these factors do not have a significant positive influence on ethnicity cognition.
Analysis of Spatial Differentiation of Resources and Their Influencing Factors in Long March National Cultural Park in the Context of Red Cultural Heritage
Authors: Gao Yun
Published: January 2024

In this paper, in the context of red cultural heritage, GIS technology is firstly utilized to comprehensively classify the resources of the Long March National Cultural Park, including natural, humanistic and recreational resources in various aspects. Through spatial distribution assessment, the distribution characteristics of each type of resource in the park are revealed. Subsequently, the degree of influence of spatial differentiation of resources was calculated by selecting influencing factors with multi-dimensional considerations. Finally, multiple regression analysis was utilized to establish a quantitative model that assesses the degree of influence of each factor on the spatial differentiation of resources. Among the spatial differentiation influencing factors, market demand and natural factors had the highest weights, 0.5584 and 0.3588, respectively. In addition, it was proved that air quality and comfort had a high significance level of P<0.05, which highlighted the importance of the climate environment. Meanwhile, the positive correlation between the number of scenic spots above the 3A level and trade volume and spatial structure, GDP as well and tourism income highlights the positive influence of red cultural heritage on the spatial differentiation of tourism resources.
Coupled coordinated time-series evolution of cultural and educational attributes in tourist attractions based on transfer matrix modeling
Authors: Ma Zhichen
Published: January 2024

In this paper, the transfer matrix model was first applied, and the eigenvalues of the matrix were calculated to clarify the cultural nature of tourist attractions. The concatenated form is introduced into the transfer matrix, successfully calculating the matrix’s matching function. The coupled coordinated time-series evolution was then used to derive the comprehensive evaluation index of tourist attractions and cultural and educational properties, and the weights of the indexes’ correlation and difference were analyzed to derive the index entropy value. Finally, the original data are processed by the dimensionless standard, the degree of coupling coordination is evaluated with the help of the coupling concept, and the relative level of coupling is dealt with after the matrix transfer. The analysis found that the highest coupling degree of cultural and educational attributes of tourist attractions in 10 years is 0.7. Therefore, the integration and development of cultural and educational attributes of tourist attractions is the inherent requirement and inevitable result of cultural construction and tourism development and must adhere to the principle of coordinated development of promoting tourism with culture and manifesting culture with tourism.
Exploration of Innovative Practical Path of Party Building Work in Colleges and Universities Based on Cognitive Mapping Construction
Authors: Weng Lixia
Published: January 2024

This paper combines knowledge meta-extraction and knowledge fusion to construct a cognitive mapping model of party building work in colleges and universities, and the system contains four subsystems: data resource management, mapping ontology modeling, mapping construction, and mapping application. The content of the cognitive mapping is further optimized through the continuous collection, supplementation and improvement of subject knowledge data and the deduction, inference, induction and integration of party-building work using the cognitive mapping data model. After cognitive arbitrariness, the P-values of party-building organizational strength, intelligent party-building, branch activities, and organizational security are all less than 0.5, with significant positive effects. In the work dimension, the scores can reach 97 and 95. The number of participants in party-building organizational activities exceeded 500 after the innovation and even reached a maximum of 900. The results of the study can provide specific practical guidance for party-building work in colleges and universities, which can help them achieve better results in party-building work.
Theories and Methods of Online Ideological and Political Education for College Students in the Context of Deep Learning
Authors: Yang Hongling
Published: January 2024

This paper designs a teaching mode for online ideological and political education under deep learning, designing teaching content in a structured, contextualized and activity-based way to enhance teaching effectiveness and learning experience. By mining the learning needs embedded in users’ learning behaviors, customized learning resources are provided for each student to meet the personalized learning needs of different students. It also uses knowledge-forgetting matrix decomposition technology to identify and recommend key knowledge points in teaching content, helping students master important knowledge more effectively. The teaching mode proposed in this paper performs well in resource recommendation, with an average server response time of 15.147ms, while the students’ preference time is above 0.940s, which effectively improves the educational and teaching effect of the theory and method of online ideological and political education for college students.
Exploration of the optimization path of interior art design based on computer BIM technology
Authors: Ma Rong
Published: January 2024

When science and technology have been developed faster, many interior art design concepts and computer technology have been updated with the times. In this paper, the geometric data and semantic data in interior design are transformed through BIM modeling, the spatial structure elements are placed in the world coordinate system, and the relative coordinates are calculated with the spatial structure elements of the interior art design building entity as the origin. With the help of BIM technology, the interior art design layout is carried out. Based on the layout constraint function and spatial syntax quantization function, which constitute the layout objective optimization function, the optimization solution is calculated. Finally, Depthmap software is used to analyze the interior design layout for VGA and intelligent body simulation. The results show that after 100 iterations, the mean value of the coefficient of the degree of BIM application is 0.9373, the coefficient of the application environment is 0.951, and the degree of the application of the BIM technology shows a growing trend, indicating that the BIM technology is an inevitable direction for the reform of the interior art design technology.
Stress analysis of assembled concrete structures with application of finite element modeling
Authors: Cao Limei , Song Xiao
Published: January 2024

In the paper, the finite element model of the assembled concrete structure is constructed based on the finite element method combined with ABAQUS software, including the specific definition of the model material, the boundary condition and contact setting, the analysis step and loading setting, and the validity of the constructed finite element model is verified. In order to deeply explore the stress changes of the assembled concrete structure, four aspects were analyzed, namely, concrete strength grade, load-mid-span displacement curve, stress of tensile and compressive reinforcement, and stress changes of frame combination beams respectively. The results showed that the larger the concrete strength grade, the relative stiffness ratio at the peak point gradually decreased from 0.44 to 0.27, and the specimen of concrete structure with higher steel content reached the maximum load at the mid-span displacement of 12.5 mm. The reinforcement at the end of the steel frame reaches the yield stress only when the lateral displacement is 25.8 mm, while the RC frame reaches the yield stress when the lateral displacement is 16.1 mm. When the load of the assembled concrete structural frame combination beams does not exceed 0.5 times the ultimate load, the stress change is elastic, which can ensure the stability of the assembled concrete structural building. Using the finite element model to model the assembled concrete structure numerically analyzes its stress change, which can better grasp the development of its structural stress during the actual casting process so as to ensure the safety of the building structure.
Exploratory Factor Analysis: A Pentagonal Evaluation Model Based on Football Player Stats
Authors: Quan Tao , Li Xianguo , Chen Shuzhen
Published: January 2024

Introduction

Starting from the information feedback of cybernetics theory, mathematical statistics methods have powerful application and interpretation functions in sports events to solve practical problems of football player evaluation.

Data Source

The data comes from Sofascore.com. Using the players’ position on the field as a classification, their technical statistics were checked one by one, and the original database of the 2021 Chinese Super League was established. The team consisted of 289 players, with 61 forwards, 133 midfielders, and 95 defenders.

Method

Factor analysis was conducted on the original data using IBM SPSS Statistics (Version 26.0). The evaluation model was obtained after determining the comprehensive score of players using loading and variance contribution rates according to the relevant methods and steps.

Conclusions

The total cumulative variance contribution rate of these factors is 74.155%. The five evaluation factors of players are Direct Attack, Basic Pass, Cooperative Defense, Aggressive Pass, and Risky Defense. In the pentagon evaluation model, F1 accounted for 26.88%, F2 for 20.42%, F3 for 20.40%, F4 for 18.54%, and F5 for 13.74%. Finally, the player’s score and club’s ranking are calculated and tested, and the results indicate that the effect is good.
Research on Corporate Social Work Intervention through Integrated Media in the Age of Big Data
Authors: Han Xiaofei , Ren Xinyue
Published: January 2024

In this paper, the structural equation model is constructed, the explicit and implicit structural relationships of the structural equation model are investigated, and the differences between the two structural relationships are compared. Then, the covariance array of the variables is obtained through the samples, and then the parameters of the established structural equation model are estimated from the sample data, and the fit of the model to the data is judged from the structural equation model as a whole. Then, the media perception and attitude situation of corporate employees towards media were analyzed, and the impact of melting media on corporate social work was analyzed based on the structural equation model. The path coefficients of the influence of melting media on the survivability, growth and regeneration of social work are 0.09, 0.186 and 0.081, respectively, with p<0.005, which indicates that melting media has a positive influence on the effect of corporate social work. The research in this paper provides a tool that can be utilized for the development and improvement of corporate social work and provides ideas that can be used for the integration and development of corporate social work and integrated media.
Research on neural network-based fault diagnosis and prediction method for power communication equipment
Authors: Yang Guang , Gu Hong
Published: January 2024

In this paper, facing the digital development of the power grid and the status quo of massive power communication equipment access and targeting the demand for highly intelligent operation and maintenance management of the power grid, combined with neural network technology, we propose an intelligent diagnosis model of power communication equipment faults. Adopting BERT as the vector embedding layer to obtain the vector sequence of fault text, designing a fault entity recognition model for power communication equipment based on BERT-BiGRU-CRF, and completing the construction of the relationship set of fault text. The proposed knowledge graph-based power communication equipment fault intelligent diagnosis model combined with the WBLA-based power communication equipment fault severity level recognition algorithm to obtain different severity fault information, from which a TFIDF-COS-based power communication equipment fault intelligent diagnosis algorithm is designed to realize intelligent diagnosis of power communication equipment faults. After testing, the TFIDF-COS algorithm can get the best optimization effect when the number of hidden layers of the selected algorithm is 1, and the initial learning rate is 0.05, and its accuracy rate can be kept above 98%. Compared with the traditional fault diagnosis system, in terms of the order of magnitude 100M, 500M, 1G, and 5G, the running time is reduced by 322s, 1874s, 4617s, and 7467s, and the accuracy rate is increased by 2.33%, 2.6%, 32.02%, and 61.4%, respectively. Therefore, this paper realizes the accurate positioning of power communication equipment faults and provides technical support for intelligent operation and maintenance of the power grid.
Research on the Innovation of Physical Education Teaching Theory in Colleges and Universities Based on VAR Modeling
Authors: Li Lihua
Published: January 2024

In order to improve the science and rationality of physical education, reduce various sports injury situations and improve students’ physical fitness. The prediction model method proposed in this paper organizes college and university students to participate in functional movement screening and selective functional movement assessment experiments to grasp the actual situation of students in physical exercise and to propose corresponding countermeasures. The prediction model takes advantage of the correlation nature of the time series, converts the vector autoregressive model into a linear regression model for research, then considers the graph regularization penalty function, combines this method with the bridge penalty, adds the correlation sign information between the variables, and uses the coordinate descent method for estimation, and finally proposes the vector autoregressive correlation prediction model method based on the bridge and the graph regularization. After the intervention-corrected training, the FMS scores of the college students were all improved, and the total score increased from the previous 12.39 to 17.51. Changes in students’ strength qualities before and after the experiment Except for pull-ups, there were significant interactions between students’ standing long jump scores, vertical long jump scores, grip strength, 1-minute push-ups, and 1-minute sit-ups in terms of time and group. This study led to an improvement in students’ physical functioning and reduced the risk of injury during physical activity.
Exploring the cross-border e-commerce of agricultural exports and its logistics supply chain innovation and development strategy under digital technology
Authors: Miao Xiaohong , Ni Chuan
Published: January 2024

This paper constructs a cross-border e-commerce supply chain information synergy platform for agricultural products, which screens and processes data of relevant business information and finally outputs information that helps cross-border e-commerce business of agricultural products. Through in-depth analysis of the structural characteristics of cross-border e-commerce maritime and air transport international logistics network under the mode of overseas warehouse, we first describe this type of problem and the basic assumptions of the model, set the model parameters, take a set of optimal solutions of Pareto, and model the cross-border e-commerce logistics network under the mode of overseas warehouse under the mode of maritime and air transport, respectively. According to different objectives, the multi-objective model of the international logistics network of cross-border e-commerce sea transportation mode and the multi-objective model of the international logistics network of cross-border e-commerce air transportation mode are established, respectively. After the optimization of the logistics supply chain, the turnover days of accounts receivable are 20 days faster than in the past, which is still 5 days less than the specified target value. The inventory stock days have been decreased from 150 days to 110 days. In other aspects, although there is still a small gap between the actual situation and the target value, most of the score values are close to the established value, and there is a significant improvement compared with the original operational value after improvement through the method of this paper cross-border e-commerce enterprises’ procurement cycle time and order fulfillment cycle time are reduced by 10 days compared with the past and reach the target values.
Transformation of digital-based efficacy for the construction of a deep-learning-based sports course on civics and politics
Authors: Du Xinchao , Chen Hongxin , Yang Hui , Yao Zhixin , Zhang Yin , Wang Teng
Published: January 2024

This paper constructs a structural equation model of the implementation mechanism of the Civics and Politics teaching in compulsory physical education courses, taking teaching methods and teaching organization as mediating indicators to test the mediating effect. Combined with the existing results of the construction of the physical education curriculum Civics, it designs and constructs the integrated construction model of physical education curriculum Civics for the whole academic period and optimizes the structure of digital effectiveness of the construction of the physical education curriculum Civics, by designing and conducting comparative experiments to explore the teaching effect of the implementation of the flipped classroom teaching mode in the Civics and Politics of Physical Education in colleges and universities. Analyze the methods and means of teaching Civics and evaluate them for the construction of college sports courses in the context of deep learning. Conduct empirical research on the integration of Civic politics elements in sports courses, analyzing the degree of students’ cognition and mastery of Civic politics elements and the application and change of students’ Civic politics elements. The analysis shows that the confidence interval of teaching content→teaching methods→teaching organization→Civics and politics goal achievement is 0.005-0.048, the effect value is 0.018, and the p-value is 0.008. It proves that the teaching methods and teaching organization play a chain mediating effect in the influence of teaching content on the achievement of Civics and politics goals.
Combined with linear regression analysis of Hainan coconut carving art dissemination path analysis
Authors: Qian Xiang , Ye Caihong , Cao Chunnan
Published: January 2024

Hainan coconut carving is regarded as an excellent traditional cultural treasure of the Chinese nation, which has a long history with a long history, but the current dissemination of the art of Hainan coconut carving is faced with the dilemma of decline. This paper carries out the construction of a multiple linear regression model, using the least squares method to determine the regression parameters and find the maximum likelihood estimation of the regression parameters. Then, the relevant elements of the art communication path, based on the elements of the construction of the art communication of multiple linear regression model and the production of questionnaires used to obtain the art communication path influence factors data. The least squares and maximum likelihood parameter estimation are numerically simulated, and the art communication path is analyzed using multiple linear regression. The results show that the mean square error of the least squares method is below 0.001 when the sample size of maximum likelihood estimation is increased from 100 to 300, the error rate of different parameters is reduced by 70.83%, and the significance of the influencing factors in the multivariate linear regression model is less than 0.05. Based on the linear regression, we can analyze the influencing factors of the dissemination path of the art of Hainan Coconut Sculpture, which provides a reference to the further expansion of the art of Hainan Coconut Sculpture. It can provide a reference for further expanding the dissemination of Hainan coconut carving art.
Intelligent big data visual analytics based on deep learning
Authors: Guo Ruixiang
Published: January 2024

In this paper, we first constructed a deep learning model, optimized the LSTM model to get the BiLSTM model based on the long and short-term memory network, and used the generative adversarial network to calculate the probability distribution of data. Then, the advantages of deep learning in intelligent big data visualization and analysis are explored from the dimensions of data preprocessing, dimension anchor layout, coordinate expansion and data analysis. Finally, the efficiency of the deep learning model is compared with that of other algorithms using indicators such as accuracy and recall, and the feasibility of this paper’s method is verified by empirical analysis using intelligent transportation data as an example. The results show that the model in this paper achieves an accuracy rate of 95.5%, the loss rate is stable at 0.2% to 0.4%, and the average running time is maintained at 20ms, which are all better than other models. The predicted and real values of traffic data for the Deep-STCL model using deep learning basically match, indicating that the deep learning model has obvious advantages in data visualization and analysis.
Development path of rural financial services for rural revitalization based on big data analysis
Authors: Cheng Kangkang
Published: January 2024

This paper is based on big data analysis technology to process the data related to rural construction and analyze the rural financial service development measurement after constructing the rural financial service indicator system combined with the principal component analysis method. The entropy value method is utilized to measure the constructed rural development index system and assess the development level of rural financial services for rural revitalization. On this basis, the benchmark regression model of rural financial services and rural revitalization is constructed, descriptive statistics are carried out, and the development effect of rural financial services on rural revitalization is analyzed after passing the smoothness test to explore its development path. The results show that the development measure of rural financial services from 1978 to 2021 rises from less than 0.5 to more than 0.7, and the development index of rural revitalization also rises by about 0.1, and the levels of both rural financial services and rural revitalization are rising. The mean value of the rural revitalization index is 0.282, the minimum value of the rural revitalization index is 0.143, and the maximum value is 0.494, and all the variables of rural financial services on rural revitalization are significant at the 1% level, with a significant impact. Based on this study, rural financial reform is synergistically promoted in three major aspects, namely, coordinating all kinds of financial organizations, innovating financial support for agricultural products and strengthening financial supervision and prevention.
Measurement of the Integration of Education and Industry in Guangdong, Hong Kong and Macao Greater Bay Area under the Background of Big Data and Analysis of Influencing Factors
Authors: Huang Xiaoyan , Lu Jifu
Published: January 2024

In this paper, the Herfindahl coefficient (HHI), intuitionistic fuzzy hierarchical analysis (IFAHP) and binary semantic evaluation methods are used to quantitatively measure the degree of industry-academia integration in Guangdong, Hong Kong and Macao and to explore the level hierarchy of the degree of industry-academia integration. The factors influencing the behavior of industry-academia cooperation between enterprises and higher vocational colleges were analyzed by selecting the employment of H, A and X institutions in the past five years. The results show that the level of industry-academia integration in the Greater Bay Area is 0.6833, and the obstacles in communication channels between enterprises and higher education institutions are the biggest influencing factors. The industrial structure deviation is 28.9, which indicates that there is a discrepancy between the university specialty settings and market demand in the region. The optimization countermeasures proposed in this paper have a positive significance in promoting the connection between local higher education and industry.
Coordinated Parenting of Civic Work and Student Management in Colleges and Universities Based on the Correlation Matrix in the Context of Informationization
Authors: Wang Ying , Jiang Dongyu
Published: January 2024

In this paper, an association matrix is constructed based on a global self-representation model, and the problem of constructing an association matrix with sparse self-representation of samples and Laplace regularized least squares classifier are integrated to improve the model performance. Based on the block coordinate descent algorithm, iterative solving for each variable was performed to optimize the model, and then the decision-making model was constructed using the multi-objective decision-making algorithm in order to provide managers with appropriate educational and management program services. Finally, the influence of ideology and political education on students’ quality as well as college management is analyzed, and the way of correlation evolution between ideology and politics and student management is explored. The results show that ideology and politics have a positive influence on student quality, and the degree of influence on personal concepts as well as on the pursuit of knowledge and the establishment of goals is 0.75 and 0.8, respectively. The probability that a highly correlated and coordinated college or university with ideology politics and student management will remain in this rank in the following year is 65%, and the probability of downward or upward development is 20% in both cases.
Exploring the Sustainable Development of E-commerce Ecosystems in the Perspective of Green Health
Authors: Wang Likun , Li Xiaolin , Li Peng , Liu Hongya , Sun Yali
Published: January 2024

The development of e-commerce breaks through the restrictions of traditional commerce in time and geography and enables people to carry out e-commerce activities conveniently, quickly and securely anytime and anywhere. This paper takes the Internet as a competition and communication platform, forms an e-commerce ecosystem through collaboration and resource sharing, and provides the evolution path of the e-commerce ecosystem. In the paper, the evolutionary game theory is cited, the game strategy is expressed through Nash equilibrium, and the three-way competitive evolutionary game model of the e-commerce ecosystem population is established with the revenue function as the optimization objective, presenting the evolution process from individual behavior to group behavior to adopt the strategy. To verify the application of the three-way evolutionary game model presented in this paper in the sustainable development of e-commerce ecosystems, an evolutionary game analysis was performed. The results show that: under the same degree of random disturbance, the fluctuation amplitude of the leader population is between 0.01 and 0.02, and the key population is most affected by random disturbance, and its fluctuation range is able to reach 0.05 to 0.95. In 2013, after the invasion of Tmall, its market share rapidly reached 49.35% from 1.49%, and Jingdong dropped to 19.11% after it, and the B2C e-commerce ecosystem changed significantly. Participating parties in the e-commerce ecosystem under the perspective of green health need to choose the right time to cooperate so as to promote the stable and sustainable development of the e-commerce ecosystem.
Research on the Integration Teaching Mode of Traditional Music Elements and College Piano under the Background of Information Technology
Authors: Li Meijia
Published: January 2024

With the deep integration of information technology and music education, how to integrate traditional music to innovate college piano teaching mode has become a problem that must be solved for the development of the times. Based on the scaffolding teaching method, this paper integrates traditional music elements with college piano in-depth and realizes the innovation of college piano integration teaching mode by adopting online pre-study before class, offline teaching during class and timely reflection and evaluation after class. In the teaching process, traditional music signals are represented by time-frequency domain features so as to realize the digital pre-processing of traditional music signals, and traditional music fundamental tone contours are transformed by using the fundamental tone feature extraction method. Then, based on the principles of physics, we explored the string vibration equation of the piano-generating principle and constructed a mathematical model for the piano music signal. To verify the effectiveness of this paper’s method in piano teaching in colleges and universities, relevant algorithms and teaching practices are used. The results show that the GNSDR of this paper’s method on vocals is improved by 6.58% compared with Unet, and its SDR is 4.25dB and 5.21dB when separating the two music source signals of Piano and Vocals, which is improved by 0.36dB and 0.14dB compared with SHN-4, respectively. The college piano scaffolding teaching model that integrates traditional music elements has enhanced sight-reading ability by 116.44%. Under the background of information technology, it is necessary to fully combine the relevant technology to extract the characteristics of traditional music elements so as to help teachers better carry out the design of piano music teaching programs and improve the quality of colleges and universities to cultivate piano talents who inherit traditional music.
Research on the Integration of Digital Media and Oil Painting Teaching in Colleges and Universities in the Era of Artificial Intelligence
Authors: Zhao Lingyu
Published: January 2024

Under the impetus of new concepts and new thinking, digital media art is also born. This paper discusses the integration of digital media in oil painting teaching in colleges and universities and constructs a resource library of painting images created by college and university students. The original RGB image is converted to HSV mode, and the college oil painting images are classified into styles based on color entropy. Drawing on the category balanced intersectionality loss function commonly used in edge extraction networks and designing an objective evaluation index based on the Adain network model for comparing the stylistic categorization ability of oil painting image translation networks. Finally, a generalization experiment was conducted on oil painting teaching painting images in colleges and universities through the Gallerix dataset. The results show that in the 2566-dimensional vector data distribution extracted from the oil painting resource base of art majors in H colleges and universities, for example, with dc
= 0.05 and dc
= 0.1, both sets of parameters find the correct clustering centers, which greatly enhances the efficiency of oil painting creation by college and university students. The method can promote the further development of artificial intelligence technology in the field of art creation and evaluation.
Design and Application of SPOC Hybrid Teaching for College Basketball Teaching Based on Artificial Intelligence Technology
Authors: Yan Duoduo
Published: January 2024

Students love basketball, but traditional teaching approaches are no longer able to suit their demands. In this article, artificial intelligence is combined with innovative teaching methods to create a new type of learning. Firstly, under the SPOC teaching mode, intelligent sensors are used to collect basketball sports data, and Kalman filtering is used for processing and segmentation. Then, through the definition of basketball sports gesture, the data division of basketball sports gesture, designing the basketball sports gesture feature extraction method based on unit division, and using the SVM method to analyze the basketball sports gesture features, designing intelligent SPOC hybrid basketball teaching. Finally, the experiments on data collection and motion attitude resolution in basketball are designed to investigate the effects of intelligent SPOC hybrid basketball teaching. The results show that the deviations of the collected acceleration and angular velocity are within 10−2 orders of magnitude and 1.8°/s deviation, respectively, and the average recognition effect of various basketball postures is 0.925, which is able to effectively carry out basketball motion recognition. The experimental class 1’s physical quality improved by roughly seven after the teaching application was implemented, and the P-value for the improvement of different basketball sports was less than 0.05, indicating that the planned instruction can greatly enhance students’ physical quality and basketball abilities.
Evaluating the Effectiveness of the Practical and Applied Integration Teaching System of College English Based on Decision Tree and Rule Association Analysis
Authors: Qian Wei
Published: January 2024

In this paper, the basic framework of data mining is first proposed, and the data mining model based on the ID3 algorithm decision tree is constructed by analyzing the information gain of the attributes to divide each subset recursively, and the model is utilized to mine the data related to the teaching of practical application of English in the university effectively. Then, the attributes of support, confidence, and interest from the Apriori rule association algorithm are utilized to measure students’ evaluation of English teaching. Finally, the applicability of this paper’s algorithm was evaluated by indicators such as classification accuracy and computing speed, and the effectiveness of the English practical application integrated teaching system was verified in terms of the dimensions of students’ English literacy, learning interest, and classroom problems. The results show that the mean values of students’ English basic knowledge, English application ability, English core skills, and English awareness attitude are 4.02, 4.15, 4.06, and 3.99, respectively, and the students’ learning interest has been improved by at least 50%, indicating that the teaching effect is good.