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Padhan, H., Sahu, S. K., & Dash, U. (2021). Economic globalization(s) and pattern of energy consumption in oecd economies. Energy and Environment.Search in Google Scholar
Shehzad, K., Zeraibi, A., & Zaman, U. (2022). Testing the n-shaped environmental kuznets curve in algeria: an imperious role of natural resources and economic globalization. Resources Policy, 77, 102700-.Search in Google Scholar
Jones, G., Chace, B. C., & Wright, J. (2021). Cultural diversity drives innovation: modeling in the global pharmaceutical industry. International Journal of Innovation Science, ahead-of-print(ahead-of-print).Search in Google Scholar
Ma, D., Zhu, Q., Business, J. O., & Woodside, A. G. (2022). Innovation in emerging economies: research on the digital economy driving high-quality green development. Journal of Business Research.Search in Google Scholar
Soofi, A. S. (2021). Economic restructuring and socialist construction in china: 1950-1978. Economia Internazionale / International Economics, 74.Search in Google Scholar
Hang, X. (2021). Reform and challenges of ideological and political education for college students based on wireless communication and virtual reality technology. Wireless Communications and Mobile Computing.Search in Google Scholar
Zhao, Y. (2016). Research on the college english teaching innovation methods based on the theory of multiple intelligence and language cognitive. International Journal of Technology, Management.Search in Google Scholar
Ferrero, M., Vadillo, M. A., & Samuel P. León. (2021). A valid evaluation of the theory of multiple intelligences is not yet possible: problems of methodological quality for intervention studies. Intelligence, 88(June 24), 101566.Search in Google Scholar
Aguayo, B. B., Ruano, C. A., & Vallejo, A. P. (2021). Multiple intelligences: educational and cognitive development with a guiding focus. South African Journal of Education, 41(2), 1-15.Search in Google Scholar
Nce, E. Y., & Nce, M. (2021). Automatic e-content sequencing system for personalised learning environments by using fuzzy ahp based on multiple intelligences: Journal of Information Science, 47(6), 821-837.Search in Google Scholar
Honglan, L., & Wu, R. (2021). Study on problems and countermeasures of ideological and political teaching in colleges and universities under the background of new media era. Journal of Intelligent and Fuzzy Systems. (1), 1-9.Search in Google Scholar
Gao, H. W. (2021). Innovation and development of ideological and political education in colleges and universities in the network era. International Journal of Electrical Engineering Education, 002072092110134.Search in Google Scholar
Zhou, J., Wei, Z., Jia, F., & Li, W. (2021). Course ideological and political teaching platform based on the fusion of multiple data and information in an intelligent environment. Journal of Sensors.Search in Google Scholar
Luo, S. (2022). Construction of situational teaching mode in ideological and political classroom based on digital twin technology. Computers and Electrical Engineering, 101.Search in Google Scholar
Yu, H. (2021). Application analysis of new internet multimedia technology in optimizing the ideological and political education system of college students. Wireless Communications and Mobile Computing.Search in Google Scholar
Xia, T., & Ahmad, M. T. (2022). Method of ideological and political teaching resources in universities based on school-enterprise cooperation mode. Mathematical Problems in Engineering, 2022.Search in Google Scholar
Sun, X., & Zhang, Y. (2021). Research on the framework of university ideological and political education management system based on artificial intelligence. Journal of Intelligent and Fuzzy Systems. (5), 1-10.Search in Google Scholar
Li, X. (2021). Web remote ideological and political education system constructed by using agent technology. Journal of Intelligent and Fuzzy Systems. (2), 1-10.Search in Google Scholar
Rajeh, T. M., Li, T., Li, C., Javed, M. H., Luo, Z., & Alhaek, F. (2023). Modeling multi-regional temporal correlation with gated recurrent unit and multiple linear regression for urban traffic flow prediction. Knowledge-Based Systems, 262, 110237-.Search in Google Scholar
Portillo-Salgado, R., Vazquez, F. A. C., Benigno Ruíz Sesma, Mendoza-Nazar, P. & Bautista-Ortega, J. (2021). Prediction of egg weight from external egg traits of guinea fowl using multiple linear regression and regression tree methods. Brazilian Journal of Poultry Science, 23(3).Search in Google Scholar
Pang, B., Feng, S., & Yin, Y. (2022). Development of a dimensionless rod-bundle chf correlation based on stepwise regression method, part ii: determination of correction factors accounting for the effect of unheated guide tube and non-uniform axial heat flux profile. Annals of Nuclear Energy, 169, 108899-.Search in Google Scholar
Mohsenijam, A., Lu, M., & Naumets, S. (2021). Integrating model tree and modified stepwise regression in concrete slump prediction and steel fabrication estimating. Canadian Journal of Civil Engineering.Search in Google Scholar