Mathematical modeling plays a vital role in understanding complex medical and biological processes. In this study, we develop a mathematical model incorporating the incomplete \(\aleph\)-function to analyze glucose supply in human blood. The model provides a generalized framework to assess glucose dynamics under varying physiological conditions. Numerical simulations demonstrate the impact of key parameters on glucose distribution, revealing critical thresholds for maintaining optimal glucose levels. The findings offer valuable insights into glucose regulation mechanisms, with potential applications in diabetes management and metabolic health monitoring. The general results reveal several intriguing cases concerning the relevant parameters involved.
Meena, M. (2025). Analysis of blood sugar with an incomplete $\aleph$-function. Computational Methods for Differential Equations, (), -. doi: 10.22034/cmde.2025.64151.2889
MLA
Meena, M. . "Analysis of blood sugar with an incomplete $\aleph$-function", Computational Methods for Differential Equations, , , 2025, -. doi: 10.22034/cmde.2025.64151.2889
HARVARD
Meena, M. (2025). 'Analysis of blood sugar with an incomplete $\aleph$-function', Computational Methods for Differential Equations, (), pp. -. doi: 10.22034/cmde.2025.64151.2889
CHICAGO
M. Meena, "Analysis of blood sugar with an incomplete $\aleph$-function," Computational Methods for Differential Equations, (2025): -, doi: 10.22034/cmde.2025.64151.2889
VANCOUVER
Meena, M. Analysis of blood sugar with an incomplete $\aleph$-function. Computational Methods for Differential Equations, 2025; (): -. doi: 10.22034/cmde.2025.64151.2889
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