Comparative Implementation of Fractional Blood Alcohol Model by Numerical Approach.

Shyamsunder
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引用次数: 0

Abstract

The current article discusses several innovative and intriguing aspects of the Caputo and modified Atangana-Baleanu derivative in the Caputo sense (MABC) based on a fractional blood alcohol model. The initial concentration of alcohol in the stomach after consumption, the rate at which alcohol is absorbed into the circulation, and the rate at which the liver metabolizes alcohol are the three factors that determine the model's resolution. Utilizing the Laplace transform method and the generalized Mittag-Leffler function method (GMLFM), the analytical results of stomach alcohol concentration and blood alcohol concentration are examined. Additionally, the study comprehensively analyzes the relationship between blood and stomach alcohol concentrations through an extended series representation. Graphical representations of the impact of fractional parameters on blood and stomach alcohol concentrations are provided. The comparison analysis for both concentrations reveals novel aspects of the studied model's entire fractional derivatives. The fractional blood alcohol models presented provide significant and beneficial outcomes that may be used to forecast future information forthe medical community.

用数值方法比较实现血液酒精分数模型。
当前的文章讨论了几个创新和有趣的方面卡普托和改进Atangana-Baleanu衍生品在卡普托意义(MABC)基于分数血液酒精模型。饮酒后胃中酒精的初始浓度、酒精被血液循环吸收的速度以及肝脏代谢酒精的速度是决定模型分辨率的三个因素。利用拉普拉斯变换法和广义Mittag-Leffler函数法(GMLFM)对胃酒精浓度和血酒精浓度的分析结果进行了检验。此外,该研究通过扩展序列表示全面分析了血液和胃酒精浓度之间的关系。提供了分数参数对血液和胃酒精浓度影响的图形表示。对两种浓度的比较分析揭示了所研究模型的整个分数导数的新方面。所提出的血液酒精分数模型提供了重要和有益的结果,可用于预测医学界未来的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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