bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study on Multi-level Topologizable Optimization Decision Analysis of Online Digital Library Resources
Authors: Wang Jingya , Zhang Aijun 
Published: October 2023

Abstract
This paper firstly proposes a digital resource system of university libraries oriented to knowledge service for digital library resource evaluation research, which mainly consists of a knowledge service diamond system and digital resource diamond system, and studies the evaluation elements and evaluation process of this system, then constructs the evaluation system of library digital resources from quantitative evaluation and qualitative evaluation, etc., and through multi-level topologizable theory, the evaluation indexes and The evaluation indexes and the correlation function are calculated by multi-level topology theory, to derive the weight coefficients and comprehensive superiority of the evaluation indexes, and an example analysis of the digital library based on multi-level topology optimization decision making is conducted. The results show that the users’ comprehensive evaluation of digital library decision-making is excellent, S2, S5 is good, S3 is medium, and S4 is average, where S5 has a higher comprehensive correlation degree in the good level than the correlation degree of S2, indicating that this study improves the quality of digital library decision making in universities and then better serves the users.
A study on the multifaceted teaching model of English translation course integrating multimodal discourse analysis method
Authors: Li Nan 
Published: October 2023

Abstract
The multimodal discourse analysis method is first analyzed in this paper, and a comprehensive framework is established based on it. Secondly, a diversified English translation instruction model is constructed based on the concept of 'human-centered' education. Finally, we integrated multimodal discourse analysis and diversified English translation instruction and conducted a comparative test, which showed that the mean scores of the experimental class in the post-test were 48.56, 29.36, 9.46 and 9.74 for the total vocabulary and different types of vocabulary use, respectively, while the corresponding figures for the control class were 46.16, 27.84, 9.13 and 9.19. The mean post-test scores of the experimental class were higher than those of the control class. This paper's teaching method can guide students' teaching interaction, enhance students' interest in English translation, and enhance the classroom teaching effect.
Modern garden design thinking and practice based on spatial information technology
Authors: Yang Chao 
Published: October 2023

Abstract
The construction of a garden image classification model is done by combining spatial information technology and analyzing the process of hyperspectral classification of garden images is the main focus of this paper. The linear transformation of the image is performed by principal component analysis to achieve the effect of reducing image dimension. The SVM classifier is used to classify the garden images, and the hyperplane is found in the sample space to distinguish between positive and negative cases. Using a simple linear iterative algorithm, the image superpixels are segmented, and the information contained in them is fused with the features of the hyperspectral image. The positioning of the hyperpixel block impacts the calculation of the mean hyperspectral feature value for each hyperpixel region. The results show that a well-rounded designer needs to achieve 70% aesthetics and 80% rationality to present modern garden design.
Construction of a linguistically interactive thesaurus for English second language acquisition based on an eigenvalue-fitting superiority algorithm
Authors: Li Xuan , Zheng Hongxia 
Published: October 2023

Abstract
This paper completes the overall design of a linguistic interactive terminology database based on the characteristics of second language acquisition and terminology and completes the construction of the terminology database by combining a goodness-of-fit detection algorithm based on terminology eigenvalue extraction. The efficiency of terminology information recognition is analyzed and compared with the terminology conversion rate of the eigenvalue goodness-offit algorithm using a neural network learning model of long and short-term memory to optimize the performance of the terminology database. The metric approach's classifier performance evaluation metrics are used to compare the accuracy and recall of the two algorithms accurately. The results show that the accuracy of the fitted superiority classifier with the application of word eigenvalue embedding compared to the LSTM classifier for the classification of electric power terms is improved by about 11% in all categories, and the average accuracy of the classifier exceeds 76.5%.
Innovative Research on Teaching English for Intercultural Communication Based on Intelligent Assistive Algorithm
Authors: Wang Lina 
Published: October 2023

Abstract
This paper firstly analyzes the development needs of intercultural communicative competence of college students and constructs an integrated model of English teaching development based on the theory of intercultural communicative competence. Secondly, the evaluation index system is constructed for the model, and the subjective and objective weights are determined by using fuzzy triangular theory and entropy weighting method under an intelligent assisted algorithm the combination of weighting is assigned based on game theory to enhance the accuracy evaluation of the indexes. Finally, the TOPSIS evaluation was used to complete a comprehensive evaluation of the integrated model of English teaching development. The results show that the weights of teaching methods and contents are 0.3382 and 0.2818, respectively, thus indicating that the model given in this paper is conducive to the correct evaluation of the innovation of teaching English as a foreign language with intercultural communication.
Study on the application of data visualization technology in human resource management and employee turnover prediction
Authors: Ge Hongyu 
Published: October 2023

Abstract
This paper presents a method to process the dataset of departing employees. The clustering categories of separated employees are accurately determined by fuzzy c-mean clustering and improved clustering FCM algorithm, and new samples of separated employees are generated using SMOTE algorithm to reduce noisy data. The kernel function trick of SVM is used to achieve clustering oversampling, improving classification accuracy. For imbalanced data, this paper uses a new integrated learning algorithm for constructing evaluations, PIBoost, combined with a full-sample cost-aware weight algorithm to improve the generalization ability of the SVM classifier, which has better classification results for various data sets. In the model performance comparison, K-AFCM-SMOTE-SVM has the highest accuracy with a value of 0.89. In the ten-fold cross-validation accuracy comparison, the K-AFCM-SMOTE-SVM model has a better overall performance index than the other two, with an average cross-validation accuracy of 0.932.
The Path of Civic Education and Intelligent Strategies for Counselors in the Background of Artificial Intelligence
Authors: Dong Ting , He Tao , Pang Feixia 
Published: October 2023

Abstract
In this paper, starting from Civic Education under the conditions of artificial intelligence application, an intelligent platform for counselors is constructed as a path for Civic Education, in which Spark’s big data platform is used to collect and organize the data. A collaborative filtering recommendation algorithm with a hybrid self-coding network model is proposed, and a recommendation service framework is built based on this algorithm and recommendation algorithm evaluation index to realize personalized recommendations of educational resources. The empirical analysis was conducted for the platform constructed in this paper, and the results showed that the intelligent platform for counselors and the learning analytics platform were used by most teachers of college Civics courses, accounting for 55.64% and 43.25%, respectively, and compared with the traditional teaching mode, the intelligent platform teaching was more popular among teachers and students.
Construction and Application of English Smart Classroom Teaching Model Integrating MOOC and Flipped Classroom
Authors: Fan Junming 
Published: October 2023

Abstract
This paper first builds a mobile teaching platform based on the teaching mode of MOOC and flipped classroom and designs functional modules such as system management, course transmission, course design and user experience. Then, it analyzes the characteristics of students' learning behaviors using the xgboost algorithm and teaches English in innovative smart classrooms. The mobile teaching platform created for this paper is evaluated in terms of learners' examination and video-viewing behavior. From the learners’ examination behavior, the non-perfect score rate gradually declines from the highest value of 41.56% in Chapter 1 to the lowest value of 17.64% in Chapter 5, with a small fluctuation in the last chapters. This shows that the mobile teaching platform for MOOCs and flipped classrooms constructed in this paper can facilitate intelligent English classroom teaching innovation.
Operation mechanism of rural sports governance and implementation path of participatory governance based on mathematical statistics model of Guizhou “The Annual Basketball Event” phenomenon
Authors: Ouyang Wuchong , Shu Jianping 
Published: October 2023

Abstract
Rural public services can be improved by optimizing rural sports governance. In this paper, mathematical-statistical methods for data mining are studied based on the phenomenon of village BA in Guizhou. According to the basic statistical inference method, the data deletion model and the mean drift model under ellipsoidal constraint are discussed to obtain the equivalence between the diagnostic statistics of the two models. The relationships between the estimated quantities before and after deletion and the hat matrix are given for the data deletion model, and the influence functions under such constraints are established while the corresponding mining algorithms for the influence points are designed. The behaviors of participation in the physical exercise had an OR of 4.716 in the model and an OR of 1.375 for walking cumulatively for more than 10 minutes per day, with highly significant differences.
Analysis of personal career development planning of teachers in higher education institutions based on system GMM model
Authors: Jia Man 
Published: October 2023

Abstract
This paper analyzes the personal career planning of teachers in higher education institutions, the influencing mechanisms, and the influencing factors. A systematic GMM model was constructed by combining differential GMM estimation and horizontal GMM estimation, and the systematic GMM estimation commonly used in dynamic panels was improved and applied using more effective instrumental variables and continuously updated objective functions. The results of the GMM analysis obtained through the selection of the influencing factors showed that the proportion of senior teachers’ willingness to personal career development and planning decreased by -0.04 and 0.02, respectively, and the proportion of negative development to total development willingness increased by +0.02 and +0.01, respectively, and the proportion of positive development to total development willingness increased by +0.03 and +0.01, respectively, and all of them were significant at the 1% level.
Statistics and effect evaluation of college students’ participation in Civic Education based on multiple linear regression method
Authors: Fei Yanhui 
Published: October 2023

Abstract
This paper first designs the study of college students’ ideological and political participation behaviors and determines the independent, dependent, mediating, and control variables of multiple linear regression based on ideological and political participation behaviors. Then, the original data were obtained using questionnaires, the Cronbach’s Alpha coefficient was selected to test the reliability of the questionnaires, and the logical structure of the multiple linear regression model was used to explore the participation degree of college students in ideological and political education and the evaluation of teaching effectiveness based on the multiple linear regression model. The results showed that the relationship between the three dimensions of intrinsic ideological and political efficacy and ideological and political participation behavior was significant and positive regarding the participation degree of ideological and political education. In terms of teaching effectiveness, the regression coefficient R is 0.507, which indicates that the independent variable influences the dependent variable, i.e., 50.7% of the variation of the dependent variable “college students’ evaluation of Civics class”, with a small standard deviation, which indicates that college students’ evaluation of Civics teaching effectiveness and Civics teachers are the same. This paper aims to improve students' awareness of ideological and political participation, as well as their ability to participate and promote the cultivation of qualified citizens in the new era.
The application of visual communication art in brand pattern design under the modern aesthetic perspective
Authors: Yan Xiaoying , Li Yingwei 
Published: October 2023

Abstract
This paper combines the personalized and diversified features of modern aesthetic vision, highlighting the static and dynamic performance of pattern visuals. The visual communication of brand pattern is based on computer graphic image design to interpret the information in a visual medium, and the image processing method is used to sample the visual image of brand modeling, extract the edge contour feature amount of the visual image of brand modeling, construct the 3D visual reconstruction model, and carry out 3D feature analysis and sparse surface feature reconstruction. The visual communication art cognition of the brand pattern is analyzed from the analysis of the visual perceptual, psychological evaluation of the pattern and the analysis of the effect of the pattern diameter and spacing. If the pattern's brightness and background brightness are higher, the livelier the space feels. However, the relationship between the lively and solemn sense of space and the patterns' graph diameter and spacing was not obvious, with correlation coefficients of -0.618 and -0.345, respectively, p<0.01.
An innovative study on creative thinking development of elementary school students using multiple data integration
Authors: Xu Erjia , Lin Zhixing , Wang Xueli 
Published: October 2023

Abstract
This paper analyzes the influences on creative thinking by utilizing multivariate data integration methods and modular network-based integration methods. A creative drive gene identification algorithm was built using the network learning approach. Using the EMD method, a subset of creative thinking genes is obtained, and the histogram data density of each gene expression value is calculated. Creative thinking was classified using the SVM classification algorithm. Games have been shown to promote creative thinking in elementary school students to some extent, according to the results. The personalities of 60% of the students change, and 50% come up with new ideas during the games.
5g web service based on AI speech recognition platform in blended teaching application of English in higher education
Authors: Wang Chunyan 
Published: October 2023

Abstract
This paper first investigates English teaching using an AI speech recognition platform. In the feature value analysis module, using the hidden Markov model is beneficial to improve the accuracy of MFCC features for parameter speech recognition. Therefore, the hidden Markov model is proposed for English audio recognition. Secondly, according to the recognition platform pronunciation error detection, the speech pronunciation scoring algorithm is proposed, and an example analysis of English blended teaching based on AI speech recognition is conducted. The results show that the blended teaching mode is 0.33 points higher than the traditional teaching mode in the entrance examination, 2.96 points higher in the total score of Grade 4, 2.10 points higher in listening, 0.57 points higher in reading, and 0.31 points higher in writing, and the effect of blended teaching is positively correlated with the students’ entrance English level. This study proposes a blended English teaching strategy that utilizes a speech recognition platform to achieve innovation and diversification of English teaching efforts.
Research on ADS-B spoof detection technology based on radio spectrum features
Authors: Li Jiahe , Zhou Yazhou 
Published: October 2023

Abstract
This paper discusses and analyzes the 1090ES mode ADS-B and examines the airborne ADS-B transponder and ground monitoring sensing nodes. The ADS-B signal receiver structure converts the received radio signal to a zero IF signal for digital filtering to obtain phase information. The cognitive radio spectrum monitoring technology mainly uses periodic characteristic monitoring to maximize the network's security in the era of artificial intelligence. For a set of ADS-B messages from the same source, the correlation coefficients of the two variation amounts are carried out to discriminate between real targets and spoofed interference, and the source consistency detection method is used to reduce the probability of false alarms. The results show that when the number of signal bars is greater than 11, the correlation value of the real signal is greater than 0.61, while the correlation value of the spoofed signal is around 0.22, which can be better distinguished.
РАРИТЕТНА СКЛАДОВА ФАУНИ НАЦІОНАЛЬНОГО ПРИРОДНОГО ПАРКУ «КРЕМЕНЕЦЬКІ ГОРИ»
Authors: Shtohryn M. O. , Dovhaniuk I. Ya. , Shtohun A. O. 
Published: October 2023

The National Nature Park “Kremenetski Hory” is situated in the northern part of the Ternopil region, covering an area of 6,951.2 hectares. The park features a hilly terrain.
The primary objective of the park is the protection and preservation of rare species. As of the beginning of 2023, there is a need for further research, particularly in the field of invertebrates, to better understand the fauna within the park.
A total of 796 animal species have been documented in the National Nature Park “Kremenetski Hory” and its surrounding areas. This includes 12 amphibian species, 7 reptiles, 155 bird species, 48 mammals, 1 roundmouth, 484 insect species, and 60 mollusks. Notably, 217 of these species are afforded protection under Ukrainian and international environmental conservation agreements.
This article presents data on animal species with nature protection status recorded within the park from 2012 to the first half of 2023. According to both literary sources and modern research, 55 species listed in the Red Book of Ukraine are documented in the park’s records, with 42 being reliably confirmed, 12 known only from literary sources, and one species considered to be erroneous.
Further exploration of the park’s fauna is essential, and this can be achieved by involving specialists and utilizing modern recording technologies.
ЕФЕКТИВНІСТЬ РІЗНИХ МЕТОДІВ ЕКСТРАКЦІЇ ДНК, ПРИДАТНОЇ ДЛЯ ПЛР ІЗ ГЕРБАРНИХ ЗРАЗКІВ ВОДОРОСТЕЙ РОДУ CLADOPHORA KÜTZ.
Authors: Bakuma А. О. , Alieksieieva T. G. , Tkachenko F. P. 
Published: October 2023

DNA extraction from algae presents unique challenges due to the production of various polysaccharides and polyphenols, which can act as PCR inhibitors. Consequently, optimizing DNA extraction methods becomes necessary for different groups of algae. The Cladophora genus, known for its high morphological variability influenced by environmental conditions and developmental stages, can benefit from molecular genetic analysis in addressing taxonomic and phylogenetic inquiries within the green algae family.
In this context, the primary objective of this study was to select an appropriate DNA extraction method for herbarium specimens of Cladophora algae and evaluate the extracted DNA's suitability for PCR. The study compared two DNA extraction methods, namely the SureFood PREP Basic kit from R-Biopharm and the Quick DNA Mini Prep kit from Zymo Research. Subsequently, the isolated DNA was subjected to PCR using the universal primer iPBS 2080 with different reaction mixtures containing Dream-Taq polymerase and Sso7d DNA polymerase.
The results revealed that the DNA concentrations and purification rates obtained from samples extracted using the SureFood PREP Basic kit were notably superior. However, PCR using these DNA samples did not yield positive results, likely due to the presence of inhibitors. On the other hand, DNA extracted using the Quick DNA Mini Prep kit exhibited lower purification rates but likely contained fewer DNA polymerase inhibitors. This allowed for successful amplification with the iPBS 2080 primer, utilizing the high-efficiency Sso7d polymerase, known for its resistance to inhibitors.
The Tax Policy and Macro Management: Evidence in Vietnam
Authors: Dinh D. V. , Ha N. T. 
Published: October 2023

The relevance of the study is determined by the need to improve the tax policy of Vietnam.The scientific novelty of the study lies in the application of a regression model for analysing GDP dynamics to determine the optimal tax policy.The purpose of this study is to study the relationship between the tax-to-GDP ratio and economic growth, the optimal threshold for the tax-toGDP ratio, and to compare empirical results with actual tax-to-GDP ratios as a basis for improving tax policy and government micromanagement.The methodology of this study includes a threshold regression model, a unit root test, and a cointegration test to examine the impact of the ratio of tax revenues to GDP-on-GDP growth. The author used actual data on the dynamics of tax revenues and GDP over a 25-year period: from 1994 to 2020, reflected the development of economic growth studies.It is shown that the ratio of tax revenues to GDP and GDP growth are closely related at the level of 86%. The relationship between Vietnam’s tax policy and economic growth is long-term, and the optimal threshold for the ratio of tax revenue to GDP is 19%, which leads to economic growth. It is concluded that the government should make more efforts to improve fiscal policy and macro management to stimulate economic growth and reduce the budget deficit. Fiscal policy has a significant impact on business entities, that is, economic organizations that create wealth for society and high employment, which leads to a decrease in unemployment. The results of the study can be used to form the tax policy of Vietnam.