This work is licensed under the Creative Commons Attribution 4.0 International License.
Lehrl, S., Kluczniok, K., & Rossbach, H. G. (2016). Longer-term associations of preschool education: the predictive role of preschool quality for the development of mathematical skills through elementary school. Early Childhood Research Quarterly, 36(Complete), 475-488.Search in Google Scholar
Woldehanna, & T. (2016). Inequality, preschool education and cognitive development in ethiopia. International Journal of Behavioral Development, 0165025415627700.Search in Google Scholar
Blmeke, S., Jenen, L., Grassmann, M., Dunekacke, S., & Wedekind, H. (2017). Process mediates structure: relation of preschool teacher education to preschool teachers' knowledge. Journal of Educational Psychology, 109(3), págs. 338-354.Search in Google Scholar
Fraijo-Sing, B. S., Sierra, N., Tapia-Fonllem, C., et al. (2020). Pictographic Representations of the Word “Nature” in Preschool Education Children. Frontiers in Psychology, 11, 575.Search in Google Scholar
Yuan, Q. (2020). Network education recommendation and teaching resource sharing based on improved neural network. Journal of Intelligent and Fuzzy Systems, 39(4), 5511-5520.Search in Google Scholar
Tan, J. (2022). Information analysis of advanced mathematics education-adaptive algorithm based on big data. Mathematical Problems in Engineering, 2022.Search in Google Scholar
Nijs, M., Morroll, D., Lynch, C., Levett, S., Fleming, S., & Chin, R., et al. (2021). P–786 virtual continual professional education programs in art in time of sars-cov–2: do they deliver? Human Reproduction, (Supplement_1), Supplement_1.Search in Google Scholar
Zhang, Y., Zhu, H., Mu, B., Zhang, X., & Cui, X. (2020). Inter-campus sharable potential of hardware educational resources in a university town: connotation, determination method and a case study. Sustainability, 12.Search in Google Scholar
Rajabi, E., Sanchez-Alonso, S., Sicilia, M. A., & Manouselis, N. (2015). A linked and open dataset from a network of learning repositories on organic agriculture. British Journal of Educational Technology.Search in Google Scholar
Ana, Paula, Beck, da, Silva, & Etges, et al. (2019). Proposition of a shared and value-oriented work structure for hospital-based health technology assessment and enterprise risk management processes. International journal of technology assessment in health care, 1-9.Search in Google Scholar
Han, S., & Zhang, M. (2018). A method for blind identification of a scrambler based on matrix analysis. Communications Letters, IEEE, 22(11), 2198-2201.Search in Google Scholar
Nuangpirom, K. A. S. (2021). The combination scattering-matrix method and wave iterative computation for csrr based band pass filter analysis. AEU: Archiv fur Elektronik und Ubertragungstechnik: Electronic and Communication, 135(1).Search in Google Scholar
Zhu, Y., Jia, C., Li, F., & Song, J. (2020). Inspector: a lysine succinylation predictor based on edited nearest-neighbor undersampling and adaptive synthetic oversampling. Analytical Biochemistry, 593.Search in Google Scholar
Alexandrino, Guilherme, L., Prata, Paloma, S., Augusto, & Fabio. (2017). Discriminating lacustrine and marine organic matter depositional paleoenvironments of brazilian crude oils using comprehensive two-dimensional gas chromatography-quadrupole mass spectrometry and supervised classification chemometric approaches. Energy & fuels.Search in Google Scholar
Zhou, TC, NJ, Cheng, QJ, & ZY. (2016). Learning semantic context feature-tree for action recognition via nearest neighbor fusion. NEUROCOMPUTING, 2016,201(-), 1-11.Search in Google Scholar
Zhang, B., Qi, H., Sun, S. C., Ruan, L. M., & Tan, H. P. (2016). A novel hybrid ant colony optimization and particle swarm optimization algorithm for inverse problems of coupled radiative and conductive heat transfer. Thermal Science, 20, 23-23.Search in Google Scholar
Li, C., Shi, M., Zhou, Y., & Wang, E. (2021). Quantum particle swarm optimization extraction algorithm based on quantum chaos encryption.Search in Google Scholar
Strk, U., Skinderowicz, R., & Boryczka, U. (2018). Adjustability of a discrete particle swarm optimization for the dynamic tsp. Soft Computing, 22(22), 7633-7648.Search in Google Scholar
Patil, G. S., Mulla, A., Ustun, T. S. (2022). Impact of Wind Farm Integration on LMP in Deregulated Energy Markets. Sustainability, 14(7), 4354.Search in Google Scholar
Euchi, J., & Sadok, A. (2021). Optimising the travel of home health carers using a hybrid ant colony algorithm. Transport, (3), 1-22.Search in Google Scholar
Karkevandi-Talkhooncheh, A., Hajirezaie, S., Hemmati-Sarapardeh, A., Husein, M. M., Karan, K., & Sharifi, M. (2017). Application of adaptive neuro fuzzy interface system optimized with evolutionary algorithms for modeling co2-crude oil minimum miscibility pressure. Fuel.Search in Google Scholar