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2篇 您的检索式:作者名="V.Govindaraj"
    题名 作者 年代 出处 被引量
1A stochastic SIR model for analysis of testosterone suppression of CRH-stimulated cortisol in men显示文摘A stochastic SIR influenza vertical transmission model is examined in this paper where vaccination and an incidence rate that is not linear are considered.To determine whether testosterone regulates lower sintering HPA axis function in males,we used a stochastic SIR epidemic procedure with divergent influences on ACTH and cortisol.The suppressive effects on cortisol can be attributed to a peripheral(adrenal)locus.Following that,we came to the conclusion that experimental solutions have been discovered and the requisite statistical findings have been examined.Finally,we deduce that the given mathematical model and the results are relevant to medical research.In the future,this research can be further extended to simulate more results in the medical field.A.Manickam Pushpendra Kumar K.Dasunaidu V.Govindaraj Dheeraj Kumar Joshi 2022International Journal of Modeling, Simulation, and Scientific Computing2022,13,3:0
2A Study on the Nonlinear Caputo-Type Snakebite Envenoming Model with Memory显示文摘In this article,we introduce a nonlinear Caputo-type snakebite envenoming model with memory.The well-known Caputo fractional derivative is used to generalize the previously presented integer-order model into a fractionalorder sense.The numerical solution of the model is derived from a novel implementation of a finite-difference predictor-corrector(L1-PC)scheme with error estimation and stability analysis.The proof of the existence and positivity of the solution is given by using the fixed point theory.From the necessary simulations,we justify that the first-time implementation of the proposedmethod on an epidemicmodel shows that the scheme is fully suitable and time-efficient for solving epidemic models.This work aims to show the novel application of the given scheme as well as to check how the proposed snakebite envenoming model behaves in the presence of the Caputo fractional derivative,including memory effects.Pushpendra Kumar Vedat Suat Erturk V.Govindaraj Dumitru Baleanu 2023Computer Modeling in Engineering & Sciences2023,,9:0
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