ROSAS, David Antonio, PADILLA-ZEA, Natalia und BURGOS, Daniel, 2026. Modelling the Balance Axiom in Flow Theory: A Physiological and Computational Approach in STEAM Education. Sensors (14248220). 1 Januar 2026. Vol. 26, no. 1, p. 38-60. DOI 10.3390/s26010038.
Elsevier - Harvard (with titles)Rosas, D.A., Padilla-Zea, N., Burgos, D., 2026. Modelling the Balance Axiom in Flow Theory: A Physiological and Computational Approach in STEAM Education. Sensors (14248220) 26, 38-60. https://doi.org/10.3390/s26010038
American Psychological Association 7th editionRosas, D. A., Padilla-Zea, N., & Burgos, D. (2026). Modelling the Balance Axiom in Flow Theory: A Physiological and Computational Approach in STEAM Education. Sensors (14248220), 26(1), 38-60. https://doi.org/10.3390/s26010038
Springer - Basic (author-date)Rosas DA, Padilla-Zea N, Burgos D (2026) Modelling the Balance Axiom in Flow Theory: A Physiological and Computational Approach in STEAM Education.. Sensors (14248220) 26:38-60. https://doi.org/10.3390/s26010038
Juristische Zitierweise (Stüber) (Deutsch)Rosas, David Antonio/ Padilla-Zea, Natalia/ Burgos, Daniel, Modelling the Balance Axiom in Flow Theory: A Physiological and Computational Approach in STEAM Education., Sensors (14248220) 2026, 38-60.