bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical simulation analysis of load-bearing capacity at joints of symmetrical cantilever-assembled bridges based on the logistic regression model
Authors: Cao Xiaochuan , Luo Yuhu 
Published: September 2023

Abstract
Bridge joint bearing capacity analysis is difficult to fit the requirements of the era of big data. The traditional way of bridge-bearing capacity numerical analysis exists in the wave of digital development of big data information, the Internet of Things, and artificial intelligence technology like a wild development. The traditional way of under the problem: is efficiency, engineering analysis is not accurate, data information paper, work responsibility is not in place, technical equipment, etc. This paper revolves around the numerical simulation analysis of the load-bearing capacity at the joints of symmetrical cantilever-assembled bridges based on the logistic regression model by finding literature to understand the concept and algorithm of the logistic regression model, construct logistic regression model based on dichotomous dependent variable logistic regression algorithm, logistic regression model parameter estimation, logistic regression. The three aspects of the model evaluation index are studied. The numerical simulation analysis of the load-bearing capacity at the symmetrical cantilever joint based on the logistic regression model, the shear strength calculation at the bridge joint, and the bridge longitudinal bar slip deformation are calculated, respectively, and then the actual value of the bridge load bearing capacity is derived. Simulation in the bridge bearing capacity at 0kN, 5kN, 10kN, 15kN, 20kN, 25kN, and 30kN, the model algorithm evaluation index under the three indicators of prediction rate, accuracy, deviation of the verification analysis. The results show that the prediction rate of the logistic regression model algorithm based on the load carrying capacity up to 30kN is 84%, the accuracy rate is 94%, and the deviation is 11%, and the three index values have better performance compared with the one-dimensional linear regression model algorithm and the multiple linear regression model algorithms. This study is beneficial to extend the bridge structural analysis function and make the bridge load capacity assessment more automatic; it can facilitate the comparison of historical data of bridge tests, longitudinal change of indicators at different testing time points, and grasp the current situation and change trend of bridges. Thus it is of great historical significance to the development of the Chinese bridge infrastructure industry.
Optimization analysis of cross-border e-commerce marketing strategy based on the SCOR model
Authors: Zhou Fang 
Published: September 2023

Abstract
Cross-border e-commerce has developed rapidly with network globalization, convenience, and mobility characteristics, and its operation mode is highly popular in the international trade industry. This paper analyzes cross-border e-commerce marketing strategies based on the SCOR model, aiming to seek scientific and reasonable methods to improve cross-border e-commerce companies’ precision marketing speed and accuracy and gain greater advantages in the fiercely competitive environment. This paper uses the SCOR model to identify the possible risks of marketing in the cross-border e-commerce industry. The characteristics of the supply chain are studied, and the relevant risk factors are identified from a holistic perspective. By comparing the two risk assessment methods of the fuzzy integrated evaluation method and the BP wavelet neural network model, the advantages of the BP wavelet neural network model in this paper are proved, and then the method is chosen as the risk assessment method and verified by example.
Furthermore, through questionnaire surveys, we obtain information about consumers’ purchasing ability, purchasing channels, and satisfaction with cross-border e-commerce operation services to clarify consumers’ psychology and provide data support for operation strategy improvement research. The results show that: the consumption ability of people aged 20 to 25 to purchase cross-border products is concentrated in the range of 400 to 1000 yuan/month; the consumption ability of people aged 26 to 40 to purchase cross-border e-commerce products is concentrated in the range of 1000 to 1500 yuan/month, and the number of people whose purchasing ability is above 1500 yuan/month reaches 2%; the consumption ability of people aged 41 to 55 to purchase products is concentrated in the range of 600 to 1000 yuan/month, followed by 1000 to 1500 yuan/month. The next is 1000-1500 yuan/month. Overall, the purchasing power of people in each age group is medium. Among them, the purchasing power of people aged 26 to 40 is the strongest. Therefore, it is necessary to develop targeted and personalized marketing programs, improve consumer stickiness, pay attention to the significance of big data for accurate marketing, and improve the overall marketing level of enterprises.
The Meaning, Value, and Realisation of Internet-based Culturally Responsive Teaching
Authors: Ma Xin , Lin Siew Eng , Gu Minghui , Sun Jing , Ma Jing 
Published: September 2023

Abstract
Culturally responsive teaching is an effective pedagogical orientation and action plan for responding to cultural differences and is characterized by effectiveness, comprehensiveness, empowerment, transformation, and emancipation. To better realize the connotation and value of culturally responsive teaching, this paper applies Internet technology to culturally responsive teaching. Based on the Internet blockchain technology, this paper optimizes the culturally responsive teaching model and evaluates the Internet-based teaching method in three aspects: appropriateness of material selection, cultural diversity, and classroom autonomy. In terms of the appropriateness of teacher selection, students generally rated the teaching method more highly, with an average increase of 11.6 percentage points over the initial rating. Students also rated the Internet-based approach more favorably regarding the cultural diversity of teaching and learning, with an average increase of 15 percentage points.
Regarding student autonomy in culturally responsive classrooms, 2.8% more students were very autonomous, 3.6% more students were moderately autonomous, and 1.8 and 2.6 percentage points less autonomous and not autonomous, respectively. Internet-based teaching methods can fully respect the cultural differences of students from different regions and increase cultural interaction in the classroom. Culturally responsive teaching under the Internet is important in strengthening students’ cultural confidence, cultivating their awareness of cultural equality, and enhancing national cultural cohesion.
Innovative Teaching Strategies for Aesthetic Arts in Higher Education Institutions Based on Big Data Technology
Authors: Zhang Zhiyuan 
Published: September 2023

Abstract
Aesthetic education is the right thing to do in higher education institutions to establish moral education. To accurately grasp the basic concept of educating people with beauty, effectively integrate the academic and practical teaching resources of aesthetic education, and create a system of aesthetic education in higher vocational institutions with the cultivation of aesthetic and humanistic qualities as the core and the cultivation of innovative abilities as the focus, is not only necessary new ideas teaching way aesthetic learning approach deepen the reform of aesthetic education classroom, but also necessary increase mechanism of educating people in school optimize the pattern of talent cultivation. This paper discusses the mathematical model of innovative teaching to determine the current scientific and technological period with different regions as the benchmark. Under the teaching program evaluation model, the selection of variables for the evaluation model, the single-stage and multi-stage innovative teaching approach, mutual assistance final validation research of the model. The results show that the mean values of both pre and post-class performance changed, with the experimental class performance improving at a value of 21.68 and the control class performance improving at a value of 1.52, with inconsistency between the two contrasting carriers’ performance (t=2.266, df=68, p=0.032<0.05) and the experimental class performance on the post-test being better control team. The obvious way to learn the effect of an innovative, better learning path is the most authentic. The big data teaching model constructed in this paper can provide a more complex and accurate analysis of the teaching process and realize a wider range of applications, such as learning early warning, learning intervention, learning diagnosis, learning recommendation, comprehensive literacy evaluation, and student growth monitoring, to provide students with accurate and personalized education services.
Innovative measures of student management by counselors in higher education institutions under a big data environment
Authors: Liu Xiao 
Published: September 2023

Abstract
Along with the rapid development of big mobile data and the popularization and deepening of education informatization, big data is an irresistible and inescapable new environment and new opportunity, and the way of student management by counselors in higher education institutions is constantly developing and changing. Based on this, the use of big data to promote the innovation of counselor student management in higher education institutions is an inevitable issue to deepen the comprehensive reform in the field of education and a real issue in front of the majority of educators. In this study, the performance of the K-Means algorithm and PageRank are tested from the perspective of big data to find the most effective ways and methods to improve the counselors’ student management work, and the performance and hit rate of each strategy is tested in the application of K-Means. This means application, the LRFU strategy (step = 0) also achieved relatively good performance, using HiBench to run PageRank algorithm test cases. The results showed that the LRU strategy in the PageRank test case also improved the hit rate by 25% compared with other strategies and the hit rate by 13% compared with the LRFU strategy (step = 0). Student management efficiency. Higher education institutions can reform counselors’ student management methods by establishing a large student database management center, strengthening big data analysis, improving the ability of student data mining, processing, and management work, and striving to maximize the efficiency of student management data and information.
Digital terrain interactive editing technology for landscape planning and design based on deep learning
Authors: Zhang Chang , Chen Yang 
Published: September 2023

Abstract
In the era of big data information digitization, digital terrain editing technology is an important research content in the virtual geographic environment, 3D landscape simulation system, which has significant value in digital planning and design practice of cities and villages, regional road networks, and landscape gardens. This paper focuses on deep learning-based digital terrain interactive editing technology for landscape planning and design. Firstly, it introduces the concept and principle of digital terrain interactive editing technology, constructs the model and terrain interactive editing algorithm, and then analyzes three systems’ digital geography interactive data from two aspects of accuracy and convergence. The results show that A system planning digital landscape garden landscape accuracy, planning accuracy, and convergence are small, and the planning accuracy reaches a minimum of 88% and a maximum of 95%. The intersection reaches a minimum of 75% and a maximum of 87%. Compared with the other two systems are high, so it can be seen that the digital interactive terrain editing for landscape planning of this design has high planning accuracy and convergence. Digital interactive editing technology is developing rapidly in China’s landscape architecture discipline research and professional practice applications. It has shown excellent development potential and application value in the landscape planning and design industry. This study improves the accuracy and efficiency of digital interactive editing technology and has great historical significance for the development and progress of the Chinese architectural design industry.
Research on personalized recommendation method of preschool e-learning resources
Authors: Wu Wei 
Published: September 2023

Abstract
E-learning is a very popular learning method at this stage, and Internet learners need to invest much time to retrieve the required e-learning network resources. In building the existing e-learning resources, the cognitive level, thinking ability, learning style, and other factors of learners are not considered. For this challenge, the paper gives the recommendation methods of the collaborative filtering algorithm model and learner model, compares the advantages and disadvantages of these models and traditional recommendation methods using the data of mean square error, response time, and accuracy, and examines the students’ suggestions for this recommendation method in the field. The collaborative filtering recommendation technique had the highest completion rate, above 0.7 for 5-20 recommendations and above 0.75 and 0.8 for 20-35. The rate of the learner model is stable between 0.7 and 0.8.
In contrast, the detection rate of traditional methods is between 0.6 and 0.7. The collaborative filtering recommendation method outperforms the other two methods regarding completeness, response time, accuracy, and F1 value. In terms of satisfaction, the collaborative filtering recommendation algorithm had the highest satisfaction rate, followed by the learner model; the collaborative filtering method had the best results in improving learning performance. Therefore, personalized recommendation methods can improve learning efficiency and reduce retrieval time, and the collaborative filtering recommendation method is the most effective among the two methods proposed in this paper.
The function of ideological and political education of campus culture in the context of big data and its realization path
Authors: Zhou Wenchao , Yuan Jinyong , Zhu Jinjin 
Published: September 2023

Abstract
Culture, as an invisible force for advancing social progress and development, has extraordinary significance and is constructive in the type of person people’s philosophy and politics inculcate. Here, the improved K-means algorithm and Top-K mining algorithm are used to study philosophy and politics inculcated function of campus culture and its realization path. Firstly, the basic algorithm processes of the K-means algorithm and Top-K mining algorithm are introduced, and the improvements of these two algorithms are made, respectively. Then the trenchant campus culture philosophy and politics inculcate function construction is introduced, and the specific paths for realizing the cultural construction of philosophy and politics inculcate function in higher education institutions are proposed. When the improved Top-K mining computing method was used here to mine and analyze the information liaison to the philosophy and politics inculcated, it was found that the elapsed moment of the recently improved computing method was demonstrable to be fewer than the primary computing method. The running time of the original algorithm exceeded 1200ms, while the comprehensive elapsed moment of the recent computing method hovered at 1000ms, which greatly improved the research efficiency. The analysis of the philosophy and politics inculcated function of campus culture, and its realization path is instrumental in providing abundant achievement to the strengths of campus culture, thus promoting the realization of the philosophy and politics inculcated function.
Inferring the role of fiscal decentralization and carbon taxes through the ARDL approach
Authors: Li Yuqi 
Published: September 2023

Abstract
This paper first introduces the algorithmic steps of the ARDL model, explores the long-run relationship of variables using the cointegration test and estimates the long-run relationship, and then builds an error correction model to explore the short-run relationship in the model to estimate the model coefficients. Finally, we analyze the changes in carbon emissions and the relationship between carbon emissions and economic growth in China in time and space, respectively, and use the ARDL model to empirically test the correlation between fiscal decentralization and carbon tax Between 1978 and 2004, the growth rate of the economy remained above 10%, and the growth rate of carbon emissions also increased rapidly at this time, and carbon emissions were positively correlated with economic growth, and the growth rate of economic growth was positively correlated with the growth rate of carbon emissions. The growth rate of carbon emissions is positively correlated with economic growth, and the trend of the growth rate of economic growth and carbon emissions is roughly the same. The coefficient of fiscal decentralization degree on carbon tax expenditure is inhibited at a 1% significant level. The coefficient of the industrial structure plays a catalytic role in carbon tax expenditure at a 1% significant level, and for every 1% unit decrease in the proportion of secondary industry to GDP, carbon tax expenditure decreases by 2.473%. The implementation of a carbon tax can achieve the goal of energy saving and emission reduction, but we should also pay attention to the possible counter-effects of a carbon tax on economic development and reasonably levy carbon tax to make the economy and environment reach a balanced state.
The Impact of Convection Drying Temperature on Content of Selected Phytochemicals in Dried Wild Garlic Leaves (Allium ursinum L.)
Authors: Zardzewiały Miłosz , Matłok Natalia , Piechowiak Tomasz , Antos Piotr , Balawejder Maciej 
Published: September 2023

Abstract
Wild garlic is a well-known and highly valued herbal plant. It is used fresh, unprocessed, and in the form of dried plants. The paper presents the results of the impact of the applied convection drying conditions at 30, 40 and 60°C on the parameters of the drying process as well as selected properties and composition of dried garlic obtained from wild garlic. It has been unequivocally shown that the increase in drying temperature significantly affects the content of thermally labile compounds, especially low-molecular weight antioxidants, including polyphenols and vitamin C. The analysis of the results clearly indicates that the dried plants obtained at 30°C contain relatively the highest amounts of antioxidant components and show the most volatile compounds profile similar to fresh wild garlic. However, the analysis of the parameters of drying process revealed that the temperature of the process significantly affects the time needed for the completion of drying process. The recommended of the most favourable process conditions should be based on an extended analysis and optimization of the entire process, taking into account not only the quality parameters of the dried material, but other parameters such as energy inputs and labour costs.
Lactic Acid Bacteria and Yeasts from Milk Kefir Grains: Isolation, Characterization, Screening, and Identification
Authors: Xu Yunli , Shu Guowei , Liu Yu , Ma Lin , Li Yichao , Chen He , Shan Chao 
Published: September 2023

Abstract
Lactic acid bacteria and yeast are abundant in kefir grains. Six natural kefir grains were used in this research to isolate and purify 64 strains of yeast and 108 strains of lactic acid bacteria. A total of three lactic acid bacteria and one yeast strain (Lactococcus lactis 2C6, Lactobacillus helveticus 6171, Lactobacillus plantarum 4M2 and Saccharomyces cerevisiae 6Y6) were examined for their ability to protein hydrolysis, water holding capacity, alcohol production, acid and bile salt tolerance and identified by 16S rDNA. The proteolytic ability, alcohol generation, and acid and bile salt tolerance of 4M2 and 6Y6 were excellent. Lyophilization was used to create bacterial powder, which laid the foundation for the subsequent development of direct-vat-set (DVS) kefir starter.
Effects of Nitrogen Sources and Inorganic Salts on Antioxidant Activity of Goat Milk Fermented by Lactobacillus plantarum L60
Authors: Hu Wenjing , Shu Guowei , Wang Jiansheng , Dai Chunji , Hui Yixin , Ma Yueyue 
Published: September 2023

Abstract
This study investigated the effects of various nitrogen sources (peptone, casein hydrolysate) and inorganic salts (KH2PO4, MgSO4 and NaCl) on the antioxidant activity (specifically, DPPH and superoxide anion scavenging rate), acidity, and pH of peptides in goat milk (GM) fermented by Lactobacillus plantarum L60 by individual factor experiments. The results indicated that nitrogen sources and inorganic salts significantly affected L. plantarum L60’s antioxidant and acid-producing abilities, and when the supplemental levels of peptone, casein hydrolysate, KH2PO4, MgSO4 and NaCl were 0.7%, 0.3%, 0.3%, 0.15% and 0.9%, respectively, the scavenging ability of antioxidant peptides on DPPH radical and superoxide anion reached the maximum.
The Possibility of Using Rheological and Electrical Properties to Determine the Quality of Craft Wheat Beers
Authors: Gorzelany Józef , Hlaváčová Zuzana , Haulíková Ana , Hlaváč Peter , Belcar Justyna 
Published: September 2023

Abstract
Beers are among the most popular drinks all over the world. The introduction of beers to the market must be preceded by lengthy physicochemical studies, which are essential to ensure the food safety of consumers. Studying the rheological and electrical properties of beers can not only speed up the product launch, but also improve technological processes. Craft wheat beers enriched with lemongrass and fruit (addition of kamchatka berry and haskap fruits) were used in this study. Beer samples were subjected to density, dynamic viscosity, conductivity and impedance analyses and the values obtained were compared with the results of physicochemical analyses. The coefficient of determination reflects the correctness of the proposed model describing the detected dependence in the best way. The closer its value is to 1, the more accurate the model. The addition of lemongrass extract was found to reduce density, and coefficients of determination had high values in the interval (0.9927 - 0.9961). Beers enriched with berry extract had higher density than the control sample, and coefficients of determination have very high values in the interval (0.9955 - 0.9976). The control beers have the highest conductivity. The lemongrass and fruit extract with which the beer samples were enriched introduced sugar into the beer and these samples had lower conductivity (R2 for beers with lemongrass is situated in interval 0.7772 - 0.9256 and for samples of beers with berries 0.6884 - 0.9846). Based on the impedance, it was possible to distinguish between types of beers, mainly at 50 kHz or 100 kHz.