bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the mechanism of cultivating the English listening ability of college students based on the background of big data
Authors: Liang Wenqin 
Published: September 2023

Abstract
Teaching intervention decision is the key to realizing accurate teaching intervention based on big data. This paper portrays students’ English listening learning status and characteristics based on the analysis of students’ behavioral performance data and accordingly provides English listening teaching interventions for different students at the appropriate time. The paper also addresses the problem that the existing big data-based precise teaching interventions are not dynamic enough, introduces reinforcement learning into the teaching intervention decision, and builds a reinforcement learning-based teaching intervention decision model. The mean score of students in the experimental class was 36.31 with a standard deviation of 11.03 on the pre-test and 39.79 with a standard deviation of 6.14 on the post-test, and the mean score of students in the control class was 36.5 with a standard deviation of 10.15 on the pre-test and 36.13 with a standard deviation of 6.14 on the post-test. The difference between the experimental and control classes’ mean scores was only 0.18 on the pre-test and 3.66 on the post-test. Therefore, the precision teaching intervention framework based on big data constructed in this paper has achieved better results in English listening teaching and has strong applicability.
Information Development and Student Talent Cultivation of Modern Chinese Language and Literature in the Context of Big Data
Authors: Tan Kehong , Lee Hwa Haeng 
Published: September 2023

Abstract
The combination of Chinese language and literature and information technology in the context of big data is an important way to cultivate all-around Chinese language talents. This paper constructs a teaching platform for modern Chinese language and literature based on a big data information fusion algorithm and first establishes a differential equation to express the development capability of Chinese language informatization. The quantitative recursive analysis is used to perform data fusion and teaching ability assessment for the platform, and the data classification is used to collect big data and quantitatively analyze the teaching ability assessment value of the platform, from which the utilization rate of teaching resource distribution is obtained. Finally, according to the feature vector of platform teaching ability assessment, clustering, and integration of index parameters are carried out to realize student talent cultivation and platform informatization development. The results show that the experimental and control groups were set up to teach through this platform for one semester, and the analysis of the students’ comprehensive final exam scores yielded a total average score of 86.8606 for the experimental class, which was significantly greater than the total average score of 81.4418 for the control class, thus indicating that the education system combining modern Chinese language and literature with informatization can enhance students’ talent ability.
Optimization of journalism communication digital education ecology based on SEM model
Authors: Wang Wei , Hammerton Jiajia 
Published: September 2023

Abstract
The optimization path exploration of the digital education ecology of journalism and communication is to provide more comprehensive talents for journalism and communication careers. This paper explains that the SEM model is composed of two parts: measurement model and structural model, and then derives the principle equations of the SEM model and introduces the path diagram, path coefficients, and effect decomposition of the SEM model. The principle and implementation steps of the partial least squares method are then introduced to extract the principal components using orthogonal decomposition, maximize the covariance among the principal components, and then achieve the purpose of using a few variables to monitor the majority of variables. The PLS algorithm is applied to the SEM model to optimize the objective function, and multiple iterations are used to obtain the minimum residuals for all parameter estimates. Finally, the PLS-SEM model is used to analyze the data on the talent cultivation objectives and cultivation mechanism for optimizing journalism and communication digital education ecology, using the University of Z as an example. The percentages of cross-cultural, cross-media, and cross-professional in talent training objectives are 24.57%, 22.59%, and 28.58%, respectively, and the joint training of universities and enterprises in talent training mechanism increased from 7.34% in 2017 to 58.75% in 2021, which is an increase of 51.41 percentage points. The optimization of the digital education ecology of journalism and communication based on the PLS-SEM model should focus on the joint development of schools and enterprises and pay attention to the all-around curriculum training.
Multi-objective Evolutionary Algorithm Supported Construction of Architectural Window Design Model Based on Visual Comfort - A Case Study of Office Buildings in Cold Regions
Authors: Liu Lei , Yang Yang , Leng Hong 
Published: September 2023

Abstract
With the accelerated advancement of big data Internet development, people gradually realize the urgency and importance of energy saving, so the multi-objective optimization research for the performance of office buildings in cold regions is significant, and this paper focuses on the construction of a building window design model based on visual comfort supported by multi-objective evolutionary algorithm- taking office buildings in cold regions as an example, firstly, by reviewing the literature to understand the principle, algorithm, and concept of multi-objective evolution, construct the building window design model based on visual comfort according to the objective function and extract the standard model of inner corridor slab space building in office buildings in cold regions of Harbin and Shenyang. The optimized design of building window parameters was carried out using the established joint simulation and optimization work platform. The results show that for Harbin, as the window heat transfer coefficient increases, the heating energy consumption increases, the cooling energy consumption increases more slowly, and the total energy consumption increases linearly. An increase in window heat transfer coefficient by 0.1W/ (m
2 ∙K) Increases are cooling energy consumption by 0.18%, heating energy consumption by 0.78%, and total energy consumption by 0.46%. For Shenyang, as the window heat transfer coefficient increases, the heating energy consumption increases, the cooling energy consumption increases more slowly, and the total energy consumption increases linearly. If the heat transfer coefficient of the window increases by 0.1W/ (m
2 ∙K), cooling energy consumption increases by 0.18%, heating energy consumption increases by 0.78%, and total energy consumption increases by 0.46%. This study provides a theoretical basis for extracting standard models for other building types while making the results more generalizable and improving the efficiency of sustainable office building design.
Construction and implementation of teacher support services model under “5G+Smart Education”
Authors: Wang Jun 
Published: September 2023

Abstract
With the development of network technology, the convenience and flexibility of smart education have made it right to meet the needs of teachers’ professional development, which has led to its rapid development. As traditional smart campus data networks suffer from long construction periods, high costs, and poor flexibility of wired networks, existing wireless networks may suffer from audio delays, lagging, and other problems. Now with the addition of 5G networks, it is not only able to provide a new design concept and teaching method for modern teaching, but it is also of great significance to improve the comprehensive strength of schools and accelerate the construction and implementation of teacher support service models. In this paper, we investigate URLLC and eMBB multiplexing mechanisms in 5G, introduce the signal space diversity technique based on rotational modulation, and propose SSD-based URLLC and eMBB multiplexing mechanisms. The SSD-based URLLC and eMBB multiplexing mechanisms are validated through downlink-level simulations. The results show that the BER is improved by about 1.0dB at 10-6 orders of magnitude, and the BER is improved by about 1.0dB at 10-3 orders of magnitude under the simulation verification of the Rayleigh channel compared to the case without spatial diversity. In the simulation of the spatial diversity multiplexing mechanism of the TDL-A-1000 channel, the BER is improved by about 1.5dB at 10-6 orders of magnitude, and the BER is also improved by about 1.5dB at 10-3 orders of magnitude compared with the case without spatial diversity. In summary, the SSD-based multiplexing mechanism proposed in this paper can reduce data BER, improve data transmission reliability, and make the construction and implementation of the teacher support services model in smart education faster and more convenient.
The combination application of Civic Education and Big Data Internet Technology based on the background of college education reform
Authors: Qiao Yonggang 
Published: September 2023

Abstract
To explore the combined application of Civic Education and big data Internet technology in the context of college education reform. In this paper, based on big data Internet technology, a mining analysis algorithm - K-means clustering algorithm is proposed, and after combining Civic Education and K-means algorithm, the ideological evaluation indexes of Civic Education application, i.e., Civic Education course construction basis, Civic Education course structure configuration, Civic Education course implementation process and Civic Education course gaining Effectiveness of four indicators examples as experiments, as a way to verify the data mining analysis ability of K-means clustering algorithm. The experimental results show that for the four index instances of Civic Education and K-means clustering algorithm, the C-level and above evaluation of Civic Education curriculum construction foundation is 75.42%, the C-level and above evaluation of Civic Education curriculum structure configuration is 81.78%, the C-level and above evaluation of Civic Education curriculum implementation process is 76.78%, and the C-level and above evaluation of Civic Education curriculum obtaining effect is 92.68%, among which A-level evaluation even reached 48.89%. This shows that the combination of Civic Education and Big Data Internet technology can better explore the Civic elements in Civic Education; moreover, it can provide guiding reform direction for Civic Education and add bricks to promote the Civic thoughts of college students. This also expands the application field of big data Internet technology so that more research fields can enjoy the dividends brought by technology development.
A new model of tax governance in the context of the integration of traditional industries and the digital economy
Authors: Qin Yong 
Published: September 2023

Abstract
Tax governance faces more complex challenges with the deepening integration between traditional industries and the digital economy. This paper analyzes the main features of the digital economy according to its development, measures the digital economy based on the mixed-frequency data sampling method, and studies the selection method of the weight function and the change of the shape of the weight function with the parameters through the exploration of parameter estimation. Meanwhile, the MF-VAR model combining vector autoregression is proposed for the characteristics of mixed-frequency data. Then, the MF-VAR model is used to measure the tax leakage of the digital economy from 2015 to 2019 and compare its tax rate with that of major economies worldwide. The VAT of e-commerce e-tailing in 2019 is measured to be 848.15 billion yuan, accounting for 4.97% of the annual tax revenue, and the personal income tax leakage is measured to be 141.25 billion yuan, accounting for The amount of VAT, and personal income tax loss from e-commerce and their proportion of annual tax revenue increased year by year from 2015 to 2019, with an average annual growth rate of 40.58% and 25.21%, respectively. Tax authorities should change the traditional thinking of levy and administration, respond to the changes of the times, and innovate the governance system to protect the digital economy model in its primary stage, but also bring its development into the rule of law and standardization.
Analysis of the current situation and teaching strategies of university table tennis teaching in the context of big data
Authors: Wang Jingli , Li Yong 
Published: September 2023

Abstract
As an important part of university physical education, table tennis teaching occupies a crucial position in physical education reform and requires continuous innovation and reform. This paper first starts from the current situation of table tennis teaching and proposes the application of a binocular stereo vision system based on a binocular stereo vision system for university table tennis teaching, which lays the foundation for three-dimensional reconstruction and skill learning. Secondly, the mathematical model of the 3D reconstruction algorithm is constructed by the tangential distortion of least squares, which avoids the complex algorithm of iteratively solving the 3D world coordinates of table tennis and improves the speed of the 3D reconstruction algorithm while the accuracy meets the subsequent prediction requirements. Finally, students in the experimental and control groups were compared in the technical evaluation of table tennis backhand pushing, attacking techniques, and left pushing and right attacking to verify the effectiveness of the table tennis binocular stereo vision teaching system. The study results showed that the experimental group students trained by the binocular stereo vision system for table tennis had 41.77% higher accuracy, 23.13% higher coordination, 12.31% higher return speed, and 14.84% higher hitting power compared to the control group. Applying a binocular stereo-vision system to table tennis teaching is novel and is conducive to stimulating students’ curiosity and challenge, enhancing their interest in learning, and effectively improving their understanding and knowledge of table tennis techniques.
Current situation and training strategies of preschool students’ skills in the Internet era
Authors: Liu Manrong , Zhang Miao 
Published: September 2023

Abstract
The analysis of the current situation of skills and training strategies of preschool students in colleges and universities is to provide more professional talents for the cause of early childhood education. This paper first gives a brief description of the association rule mining algorithm under Internet technology, gives the evaluation method of association rules, including support, confidence, and enhancement, and gives the basic process of association rule mining. Next, it is explained that the multi-objective optimization problem utilizes the objective function optimization for calculating the optimal solution, and the commonly used multi-objective optimization problem solution and the selection method of the fitness function are given. Then the principle of the whale optimization algorithm is described and explained, the whale optimization algorithm is used to optimize the objective function of association rules, and then the steps and processes of the WOA-ARM algorithm are obtained. Finally, the algorithm was used to mine the training strategy of GZ University as an example, the “situational experience” teaching and training method was proposed, and the teaching characteristics and objectives of this method were analyzed. Regarding teaching objectives, 48.75%, 32.27%, 12.39%, and 6.59% of the ratings were A, B, C, and D, respectively. This indicates that the “situational experience” teaching training is suitable for college preschool students, and there is a strong correlation between the current skills and the training strategy.
Research on visual recognition and positioning of industrial robots based on big data technology
Authors: Zhang Jin 
Published: September 2023

Abstract
This paper proposes a fast recognition and positioning algorithm based on deep learning for the problems of slow recognition of complex workpieces, low accuracy, and inaccurate positioning of industrial robots. The image grayscale and parameter calibration are performed by building an industrial high-precision vision system on the target image information. The target image is then localized and segmented by boundary pixel detection, and the trained improved SSD algorithm is used to identify the target, obtain the coordinates of the target location and the category to which it belongs, and realize the industrial robot sorting. The results show that the target recognition algorithm based on the improved SSD algorithm has an error of less than 0.5 mm, the fastest recognition speed of 0.045 sec/each, and the recognition accuracy can be maintained above 98% in the experimental environment, and the distance error between the real point and the calculated point is 8.09 mm on average, indicating that the algorithm has good accuracy and stability. Building a prototype system based on the improved SSD algorithm for industrial robots with complex processes is expected to provide an automated robot identification and positioning solution for production lines.
Research on the construction and effect evaluation of OMO mode of professional practical training teaching of landscape engineering technology based on virtual simulation technology
Authors: Yu Min , Xia Wenxin , Zhang Linlin , Lv Junnan , Xin Zhengqi 
Published: September 2023

Abstract
Under the Internet+ information era background, the barriers between traditional and modern education are melting away. This paper takes the OMO teaching mode as the entry point and constructs the design of professional practical training teaching of landscape engineering technology based on virtual simulation technology analysis of the OMO teaching mode. While drawing on the OMO teaching mode, it combines the system posture detection and binocular vision position-solving technology in virtual simulation to build a cyclic development system of OMO mode and professional practical teaching of landscape engineering technology and promote the deep integration of the two. The experimental results show that through 18 weeks of comparison between the OMO teaching mode based on virtual simulation technology and the traditional teaching mode of practical teaching, it is found that the average scores of students are 84.31 and 77.41, respectively, with an effective increase of 10% in performance. Regarding student participation, the OMO teaching mode based on virtual simulation technology mainly focuses on the 68-82 range, effectively stimulating students’ enthusiasm. The OMO teaching mode based on virtual simulation technology proposed in this paper can effectively improve the current problems of traditional teachings, such as resources without rules and regulations, poor correlation, and one-sided evaluation methods, to more effectively cultivate students’ independent learning ability and improve their vocational skills.
Theoretical and practical research on mathematical modeling of economy and finance based on artificial intelligence
Authors: Sun Jie 
Published: September 2023

Abstract
In the context of the rapid development of big data technology, developing an artificial intelligence economy is beneficial to China’s economic transformation, industrial upgrading, and enhancing international competitiveness. This paper first constructs a financial mathematical model of the AI economy based on the theoretical foundation of financial mathematics. The structure of the financial mathematical model mainly consists of three parts: portfolio model, capital asset pricing model, and financial derivatives pricing model. To address the problem of the unstable development of China’s AI economy, the theoretical framework of investment risk management is constructed, which can help investors intelligently implement investment risk management plans and implement investment risk management countermeasures and measures. Finally, to verify the performance of the risk investment optimization model and intelligent algorithm proposed in this chapter, three investment scales will verify the investment risk management capability based on the portfolio model. The results show that the convergence performance of the portfolio model is 0.2025, 0.4021, and 0.4391 for three investment sizes of 2, 4, and 9, and the penalty coefficients are 1.5, 28, and 0.2, respectively. At the beginning of the iteration, the investment risk is high, and the convergence speed of the portfolio model is higher than the capital asset pricing model and the financial derivatives pricing model. This study applies it to solve financial optimization problems, including portfolio, stock forecasting, risk management, and many other fields, and provides a better solution to the optimization decision problem of the portfolio.
Challenges and risks of Serbian spruce (Picea omorika [pančić] purk.) in the time of climate change – a literature review
Authors: Vacek Zdeněk , Vacek Stanislav 
Published: September 2023

Abstract
Serbian spruce (Picea omorika [Pančić] Purk.) is a Balkan endemic coniferous species, the expansion of which is restricted by limited knowledge. This literature review paper compiles findings from 176 scientific papers and presents a summary of research results that pertain to the Serbian spruce potential in general, with a specific focus on European forests from 1951 to 2022. It summarizes the importance of its taxonomy, biological and ecological characteristics, site demands, production and silviculture, risks and pests, as well as the potential of this tree species in relation to global climate change. Serbian spruce is very resistant to the negative effect of air pollution and extreme heat waves compared to other spruce species, especially the most economically important spruce species in Europe– Norway spruce (Picea abies [L.] Karst.). Moreover, its radial growth shows highly balanced annual increments, and the density and technical parameters of the wood are comparable with Norway spruce. On the other hand, the highest weakness may be the limited genetic variability. Despite its rather limited natural range, Serbian spruce can be considered one of the most adaptable spruces to anthropogenic factors and climate change, and a valuable tree species for urban landscapes. Its production potential of wood on acidic, dry and extreme sites makes it attractive for forestry, through its introduction.