Children’s cognitive function and mental health based on finite element nonlinear mathematical model

[1] Madhukar, A., & Ostoja-Starzewski, M. Finite element methods in human head impact simulations: a review. Annals of biomedical engineering., 2019. 47(9): 1832–1854. MadhukarA. Ostoja-StarzewskiM. Finite element methods in human head impact simulations: a review Annals of biomedical engineering 2019 47 9 1832 1854 Search in Google Scholar

[2] Schultebraucks, K., & Galatzer-Levy, I. R. Machine learning for prediction of posttraumatic stress and resilience following trauma: an overview of basic concepts and recent advances. Journal of traumatic stress., 2019. 32(2): 215–225. SchultebraucksK. Galatzer-LevyI. R. Machine learning for prediction of posttraumatic stress and resilience following trauma: an overview of basic concepts and recent advances Journal of traumatic stress 2019 32 2 215 225 Search in Google Scholar

[3] Ptak, M., Wilhelm, J., & Sawicki, M. Safety analysis of children transported on bicycle-mounted seat during traffic accidents. International journal of crashworthiness., 2020. 25(6): 612–627. PtakM. WilhelmJ. SawickiM. Safety analysis of children transported on bicycle-mounted seat during traffic accidents International journal of crashworthiness 2020 25 6 612 627 Search in Google Scholar

[4] Zhang, L., Gan, J. Q., Zhu, Y., Wang, J., & Wang, H. EEG source-space synchrostate transitions and Markov modeling in the math-gifted brain during a long-chain reasoning task. Human brain mapping., 2020. 41(13): 3620–3636. ZhangL. GanJ. Q. ZhuY. WangJ. WangH. EEG source-space synchrostate transitions and Markov modeling in the math-gifted brain during a long-chain reasoning task Human brain mapping 2020 41 13 3620 3636 Search in Google Scholar

[5] Tomasiello, S. A granular functional network classifier for brain diseases analysis. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization., 2020. 8(4): 382–388. TomasielloS. A granular functional network classifier for brain diseases analysis Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2020 8 4 382 388 Search in Google Scholar

[6] Mundewadi, R. A., & Kumbinarasaiah, S. Numerical solution of Abel's integral equations using Hermite Wavelet. Applied Mathematics and Nonlinear Sciences., 2019. 4(2): 395–406. MundewadiR. A. KumbinarasaiahS. Numerical solution of Abel's integral equations using Hermite Wavelet Applied Mathematics and Nonlinear Sciences 2019 4 2 395 406 Search in Google Scholar

[7] Cheng, J., & Zhang, L. T. Simulation of vessel tissue remodeling with residual stress: an application to in-stent restenosis. International Journal of Smart and Nano Materials., 2019. 10(1): 11–27. ChengJ. ZhangL. T. Simulation of vessel tissue remodeling with residual stress: an application to in-stent restenosis International Journal of Smart and Nano Materials 2019 10 1 11 27 Search in Google Scholar

[8] Rezaee, Z., & Dutta, A. Lobule-specific dosage considerations for cerebellar transcranial direct current stimulation during healthy aging: A computational modeling study using age-specific magnetic resonance imaging templates. Neuromodulation: Technology at the Neural Interface., 2020. 23(3): 341–365. RezaeeZ. DuttaA. Lobule-specific dosage considerations for cerebellar transcranial direct current stimulation during healthy aging: A computational modeling study using age-specific magnetic resonance imaging templates Neuromodulation: Technology at the Neural Interface 2020 23 3 341 365 Search in Google Scholar

[9] Suárez, L. E., Markello, R. D., Betzel, R. F., & Misic, B. Linking structure and function in macroscale brain networks. Trends in Cognitive Sciences., 2020. 24(4): 302–315. SuárezL. E. MarkelloR. D. BetzelR. F. MisicB. Linking structure and function in macroscale brain networks Trends in Cognitive Sciences 2020 24 4 302 315 Search in Google Scholar

[10] Nanu, C., Laakkonena, E., & Hannula-Sormunen, M. The Effect of First School Years on Mathematical Skill Profiles. Frontline Learning Research., 2020. 8(1): 56–75. NanuC. LaakkonenaE. Hannula-SormunenM. The Effect of First School Years on Mathematical Skill Profiles Frontline Learning Research 2020 8 1 56 75 Search in Google Scholar

[11] Xie, T., Liu, R., & Wei, Z. Improvement of the fast clustering algorithm improved by k-means in the big data. Applied Mathematics and Nonlinear Sciences., 2020. 5(1): 1–10. XieT. LiuR. WeiZ. Improvement of the fast clustering algorithm improved by k-means in the big data Applied Mathematics and Nonlinear Sciences 2020 5 1 1 10 Search in Google Scholar

[12] Josheski, D., Gelova, E., & Apostolov, M. Shapley-Folkman-Lyapunov theorem and asymmetric first price auctions. Applied Mathematics and Nonlinear Sciences., 2019. 4(2): 331–350. JosheskiD. GelovaE. ApostolovM. Shapley-Folkman-Lyapunov theorem and asymmetric first price auctions Applied Mathematics and Nonlinear Sciences 2019 4 2 331 350 Search in Google Scholar

[13] Assaye, B., Alamneh, M., Mishra, L. N., & Mebra, Y. Dual skew Heyting almost distributive lattices. Applied Mathematics and Nonlinear Sciences., 2019. 4(1): 163–174. AssayeB. AlamnehM. MishraL. N. MebraY. Dual skew Heyting almost distributive lattices Applied Mathematics and Nonlinear Sciences 2019 4 1 163 174 Search in Google Scholar