bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the design of booth space in furniture exhibitions based on big data analysis
Authors: Xue Chuan 
Published: October 2023

Abstract
In this paper, we first use VR technology to spatially calibrate the flat images of furniture booths and use a fisheye camera to obtain the visual features of booth space layout with coordinate information and color information in 3D space to construct a 3D geometric model. Then, the booth layout framework is used to extract the scene information, and the visualization processing and fusion of layout nodes are realized using coordinate conversion to complete the multi-user interactive genetic algorithm-based booth space layout to visualize and analyze the furniture layout of the booth space. After testing, we found that before optimizing, the area occupied by individual furniture SA tends to increase with the increase in a number of furniture. After optimization, the average area utilization of the booth increased by 23.6%, the number of furniture that can be accommodated in a single furniture area increased by 81.82% on average, and the booth space utilization was highly improved.
Study on the development strategy of information integration of packaging design and pattern design under visual communication course
Authors: Yang Zhe 
Published: October 2023

Abstract
In this paper, the importance of modern packaging design and pattern design and the application of pattern design in modern packaging design are the first two aspects of achieving the development of information integration of packaging design and pattern design, and the visual design based on Markov random field is proposed for the image retrieval and classification problems in traditional model packaging design and pattern design. Wavelet transforms, multi-scale analysis of image texture features and region merging conditions in visual design using GBIS algorithm, and image retrieval in pattern design are examined and analyzed. The results show that the model trained with both loss functions has the best retrieval top-k accuracy on both datasets, reaching 54.3% on the DARN dataset and 3.9% accuracy on Deep Fashion. This paper demonstrates the model’s effectiveness for modifying and retrieving pattern design image attributes.
Minimal cut of strongly connected directed random graphs studied in virtual machine deployment
Authors: Zhang Hongwu 
Published: October 2023

Abstract
This paper first presents the basic concepts of random graph theory, including undirected, directed, and generalized random graphs. A random homomorphic number mapping is introduced to solve the cut distance problem of directed random graphs, and a minimum cut distance is proposed. Next, a virtual machine deployment strategy (VMDS) based on the minimum cut algorithm is proposed to construct VM clusters based on similarity and to cut VM clusters based on the minimum cut of directed random graphs. According to the results, the MAE (1.3875) and MSE (2.7783) of both the conventional AR algorithm and ES algorithm are the lowest. Compared to the MAE (1.7381) and MSE (3.7840) of the VMDS algorithm, both significantly decrease. The research results presented in this paper are useful for applying virtual machine deployment techniques in cloud computing.
Research on the Countermeasures for the Construction of High-level Practical Training Bases in Higher Vocational Colleges Based on the Integration of Industry and Education
Authors: Li Juan 
Published: October 2023

Abstract
To quickly establish high-level training bases in higher vocational colleges while integrating industry and education, this article first describes the concepts and layout of the space. Secondly, Using interest-related data, an assessment method of the indicators that demonstrate the efficiency of bringing together industry and schooling is developed, the weights of the indicators are determined, and the evaluation matrix is constructed for a comprehensive evaluation using ANP and gray fuzzy theory, respectively. Three colleges were used as examples to examine the effectiveness of integrating industry and education in creating advanced knowledge bases. The findings show that the greatest weighting of the indicators for how well industry and education are integrated is 0.3135, and the highest governance economic investment in building high-level training supports is 93.26, suggesting that building high-level training bases can enhance how well industry and education are integrated.
The combination of cognitive psychology and creative thinking skills in art and design
Authors: Zhao Yan , Li Wenwen 
Published: October 2023

Abstract
This paper first investigates cognitive psychology and art design, divides cognitive memory into sensory memory, short-term memory and long-term memory according to cognitive psychology, and investigates art design's needs, psychology and creative thinking ability. Then, an art design is proposed that uses image processing technology. The first step in designing an art design using image processing technology is to use an image processing algorithm. Based on the image luminance equalization processing in art design, image fusion and wavelet noise reduction processing are carried out, and ANOVA cognitive psychology and art design experimental data are used to realize art design human-computer interaction. The results show that the analysis of the model with artistic design creative thinking variability as the dependent variable found that the R2 of the model was 0.036, and the adjusted R2 was 0.023. F=2.633, p=0.015, and the grade level had a significant effect on artistic design creative thinking variability. This study is a comprehensive and thorough cognitive psychology and art and design relationship that can contribute to development.
The use of online interactive teaching mode in university music teaching under the background of informationization
Authors: Ni Meiying , Yang Fangling , Liu Mei 
Published: October 2023

Abstract
This research method uses vocal recognition, classroom interaction analysis and social network analysis theory to cluster audio data through the process of data collection and feature extraction, active speech detection and speaker change detection, and finally quantifies and visualizes classroom data based on S-T analysis and social network analysis methods, and calculates corresponding indicators for qualitative analysis. After reforming the teaching mode, 80% of students expressed great satisfaction. The information-based teaching tools resulted in an overall upward trend in the grades of the three classes. In the middle and high score range of 80-89, Class 1 increased by 34%, Class 2 by 37%, and Class 3 by 28%, and all three classes showed a more significant increase. Regarding classroom interaction behaviors, teachers' verbal behavior rates decreased from 55.86% and 44.01% to 27.48%, while students' verbal behavior rates increased from 21.92% and 21.23% to 39.73%.
A study on the legal risk assessment of virtual currency transactions based on statistical analysis
Authors: Wang Ruishan 
Published: October 2023

Abstract
This paper first analyzes the definition and characteristic attributes of virtual currency transactions, secondly constructs the legal risk indicator evaluation system, then pre-processes the evaluation data and assigns the indicators, and then constructs the legal risk evaluation model using TOPSIS-grey correlation. Finally, the quantitative data analysis was carried out by analyzing the indicator weights and evaluating indicators. The results show that the overall score of the trading platform is 73.86, with the evaluation scores of the first-level indicators being 24.56, 11.35, 16.23, 15.42, and 6.30, respectively. This study fully illustrates that the use of TOPSIS-grey correlation analysis can provide data support and a decision-making basis for legal risk assessment and prevention and new directions for reforming and developing the legal risks of virtual currency trading.
Optimization of Nursing Care Resource Allocation in an Aging Population Based on Combinatorial Optimization Algorithm
Authors: Wang Wei , Li Tongbin 
Published: October 2023

Abstract
This paper first considers population aging as a breakthrough, analyzes the demand for long-term care due to population aging, and classifies the models and characteristics of long-term care. Secondly, the combinatorial optimization algorithm and its classical cases are analyzed, and a care resource allocation system is built based on the solution set performance metrics and multi-objective combinatorial optimization algorithm for an aging population society. In city A, a research experiment examines the elderly population and the allocation of nursing care resources. The results show that the Gini coefficient of the population distribution of nursing institutions is 0.027 and the Gini coefficient of the population distribution of the number of institutional beds is 0.296, both of which are less than 0.3, thus indicating that the overall structure of the current social nursing resource allocation is relatively fair.
Blockchain technology in the formation mechanism and strategy of brand trust in liquor e-commerce
Authors: Wang Meng , Wang Dongyang 
Published: October 2023

Abstract
This paper firstly constructs a theoretical framework of a liquor e-commerce platform based on blockchain technology, analyzes the influence factors of brand trust, and discusses the influence mechanism of blockchain technology on liquor brand trust. Secondly, in the three-party trust degree calculation section, a blockchain-based method for calculating the three-party trust degree for an e-commerce platform is proposed. Finally, an evolutionary game model of the three parties involved in e-commerce transactions is constructed, and evolutionary stabilization strategies are explored before and after the introduction of blockchain. The results show that before the introduction of blockchain technology, the evolutionary stability point of the system was (0, 0, 1). After the introduction of blockchain technology, the trust power of merchants’ liquor brands is improved, and the evolutionary stability results of the three-party evolutionary game system eventually converge to (1, 1, 1). This study has some guiding significance for promoting the development of liquor e-commerce platforms and improving brand trust.
Research on the spatial structure of environmental art design based on topology optimization and morphology optimization
Authors: Meng Sha 
Published: October 2023

Abstract
In this paper, firstly, a mathematical model of spatial structure topology optimization is constructed, and sensitivity analysis, approximate model fitting and optimization finding strategy for topology optimization in environmental art design are carried out. Secondly, morphological optimization is carried out from the morphological model of spatial structure and the urban thermal environment through urban environmental art design and morphological optimization. Finally, the optimization of structural morphology is explored under static multiple working conditions and single-objective optimization, considering the dynamic frequency of the structure. The results show that as the optimization proceeds, the total strain energy, axial strain energy and bending strain energy of the space structure increase to 0.45, 0.52 and 0.5 of the initial structure, respectively. At the 9th iteration of optimization, the performance is at its peak. The load-carrying capacity is 1.59 times that of the 35th step and 1.5 times that of the initial structure. The research results of this paper can provide references and guidance for structural design and optimization in the fields of environmental art design and urban planning.
Studying Spatial Correlation and Regional Differences in Local Government Debt Performance Using Spatial Econometric Models
Authors: Dong Haoran , Wang Shiyu , Bai Yumeng , Liu Jun , Liu Fengrui 
Published: October 2023

Abstract
The magnitude and type structure of local government debt are first analyzed in this work. Then, using the “4E” evaluation theory, a local government debt performance assessment index system is built. Second, an entropy-TOPSIS technique is used to calculate the risk index of local government debt performance, and a spatial econometric model is used to examine the geographical spillover impact of local government debt performance across different areas. Finally, the heterogeneity of local government debt management was evaluated using the Malmquist index. The findings demonstrate that the hypothesized national effect is often superior to the sub-regional effects, with a debt ratio regression result of -0.065. Despite the overall local government debt coefficient being -0.032, the direct impact coefficient for the eastern area is -0.025.
A study on the integrated teaching model of core literacy in college physical education and health courses using multiple data fusion
Authors: Wang Hui 
Published: October 2023

Abstract
This paper introduces an experiential teaching model for physical education and health courses. Secondly, the parameters of the multiple linear regression model were estimated and tested for significance based on the least squares method, and the integration of multiple data was carried out by using rough set simplification. Finally, an empirical analysis of the core literacy of physical education and health curriculum was conducted through three aspects: physical activity ability, health behavior and physical morality. The results showed that the p-values of physical exercise awareness, physical exercise habit, and health knowledge mastery and application were 0.015, 0.024, and 0.021, respectively, thus indicating that the experiential teaching model can effectively improve students’ core literacy in physical education and health curriculum.
Research on the path of high-quality development of China’s foreign trade in the context of ARDL-based model
Authors: Zhao Yan 
Published: October 2023

Abstract
To explore the path of high-quality development of China’s foreign trade, this paper selects four dimensions of foreign trade foundation, foreign trade competitiveness, foreign trade performance level and foreign trade sustainability based on the characteristics of comparability and strong operability and establishes the evaluation system of foreign trade level by using the improved entropy weight TOPSIS. Based on the evaluation results, the impact of the RMB exchange rate on China’s import and export trade is explored based on the autoregressive distributed lag model, and the lagged residual term of ARDL is modified in combination with the ECM model, which is set for the import direction and export direction respectively. The impact of exchange rate level change on all three types of enterprises has a significant change process, especially for exporting foreign-funded and other types of enterprises. Among them, the coefficient LnY of the export equation for foreign-owned enterprises fluctuated between 2.1 and 2.5 in 2018, and LnReer fluctuated between -1.8 and -1.2.
Polygalacturonase Production by Sarocladium strictum T4 Isolate using Apricot Pulp as Substrate in Non-Sterile Culture Conditions
Authors: Aydın Karaağaç Ruhşen , Aydoğan Mehmet Nuri 
Published: October 2023

In this study, 34 molds showing pectin degradation activity were isolated from the soil of orchards, by several tests. By using these isolates, pectinase group enzymes; studies on pectin lyase and polygalacturonase production were performed in the batch system and under non-sterile culture conditions. 5 isolates denoting polygalacturonase activity were coded as: T1, T2, T3, T4, T5 and the best polygalacturonase activity among these isolates was determined as 354.4 U/L in T4 isolate. Thus, optimization analyses continued by the use of this isolate. Initial apricot pulp concentration, temperature, pH and incubation period were tested as optimization parameters. The effects on enzyme activities were investigated by changing the initial apricot pulp concentration in the range of 5-100 (g/L), and in this regard, polygalacturonase activity was determined as 397.4 U/L at 50 g/L. In addition, the pH parameter was analyzed in each unit between pH = 3 – 8, and the temperature was tested by increasing 5 units in the range of 5-25°C. Consequently, the maximum polygalacturonase activity was determined as 405.7 U/L at pH 5 and 406.3 U/L at 15°C. Besides, the effect of the incubation period was studied within 1-5 days and the maximum polygalacturonase activity was determined as 429.0 U/L on the 4th day (after 96 hours). As a result, the above-mentioned T4 isolate, with which the optimization studies were conducted, was identified as Sarocladium strictum (Top ekinküfü) T4 by molecular methods.
Kinerja Pegawai Ditinjau Dari Kompetensi, Kompensasi, Motivasi Kerja, dan Disiplin Kerja
Authors: Rosyinah Hasibuan Yenni , Ningsih Fitria Ridha , Putri Yuliarni 
Published: October 2023

The success of the hospital in providing the best and quality service to the community can be measured by the quality of the performance of its human resources. This is because human resources are an important element involved in the core activities of providing health services in a hospital. This study aims to analyze several factors that have an influence on employee performance at RSUD Dr. Rasidin Padang, namely commitment, compensation, work motivation, and work discipline. The analytical method used in this research is path analysis using the help of the SPSS for windows program. This study used 158 respondents as the research sample. The independent variables consist of Competence (X1), Compensation (X2), Work Motivation (X3), and Work Discipline (X4), while the dependent variable is Performance (Y). The results showed that competence, compensation, work motivation, and work discipline had a significant positive effect on the performance of RSDU Dr. Rasidin Padang.
Keyowords : Competence, Compensation, Work Motivation, Work Dicipline, and Employee Performance
Methodological support of the Estimated Efficiency of Public Procurement on a Contractual basis
Authors: Rogulenko T. M. , Bodyako A. V. , Ponomareva S. V. , Pashkov P. A. 
Published: October 2023

The subject of the study is the problems of institutional and methodological-legal regulation of the contract system of public procurement.The relevance of the problem is due to the fact that there have been changes in the structure and composition of forms of contract activity as a result of the 2017 adoption of amendments to Law No. 44 in the dynamics of the distribution of order placement procedures.The purpose of the study is to develop a scientific methodology for calculating the effectiveness of procurement activities on the basis of a comprehensive assessment of the effectiveness of public procurement on a contractual basis, plan-fact analysis, and the implementation of the principles of compliance control in public procurement management.The paper uses methods of statistical and comparative analysis, generalization, classification and valuation. The paper shows that the present disadvantages of institutional regulation of procurement processes have a negative effect on their effectiveness, requiring improved oversight of public procurements as well as analytical and methodological support. The authors suggested that the principles of compliance-control of public procurement management be applied on a contractual basis in order to increase the level of credibility and legality of activities conducted in procurement. The author’s vision of the content of the methods of calculating the performance of procurement activities on the basis of a comprehensive evaluation of the effectiveness of public procurements on a contract basis is presented. For the collection of data for plan-fact analysis, their systematization for further calculation of performance indicators of public procurement on a contractual basis, a specialized form “Data Summary for Plan-Fact Analysis of Procurement” is proposed. If the procurement proposals presented in the study are implemented, they will increase the efficiency of the Russian public procurement contract system, the responsibility of participants in it, and the professional competence of officials.
Transmission of systemic Risk between the banking systems of Asia-Pacific Countries and Russia
Authors: Dzuba S. A. , Tishkovetz V. S. , Shchepeleva M. A. 
Published: October 2023

The subjectof this research is systemic risk transmission between financial sectors in the international financial market.The purposeof our paper is to determine topology characteristics for the network connecting banking systems in the Asia-Pacific region (APR) and Russia. Given the growing role of this region in the global financial market, its susceptibility to crises can be dangerous for other countries.This determines therelevanceof our study. To build the network, we used the SRISK indicators, which reflect capital losses in the financial institutions’ capital losses in case of a large-scale crisis. The networks were built with the use of theNETSalgorithm, proposed by Barigozzi, M., & Brownlees, C. (2019).Thismethodis based on sparse vector autoregressions estimated by LASSO. As a result of the application the algorithm, we get two networks—simultaneous interconnections and using the values of the lagged variables. The networks were constructed for the 2005–2020 time period and separately for sub-periods including the global financial crisis (2005– 2013) and the COVID-19 pandemic period (2014–2020).Based on theresultsobtained, the networks over the entire time period seem to be quite susceptible to external risks. China, Japan, Singapore and Taiwan are the largest shock donors in this region. Russia mainly accepts risks, generated by other countries, in the period 2014–2020. Strengthened/weakened cooperation with the largest risk exporters in this region will increase/decrease the likelihood of systemic risk transfer to the Russian financial sector.