Entropic flow rates in biological growth processes

Author

Ling, Yibei ; He, Bin

Author_Institution

Sch. of Comput. Sci., Florida Int. Univ., Miami, FL, USA

fYear

1994

fDate

1994

Firstpage

1179

Abstract

The authors have developed an entropic approach to analyze the thermodynamic characteristics of biological growth processes governed by the Logistic, Bertalanffy, and Gompertz models (see IEEE Transactions on Biomedical Engineering, vol. BME-40, no. 12, p. 1193, 1993). In this short paper, the entropic flow, rates of the Logistic, Bertalanffy, and Gompertz growth models expressed in terms of the evolution time and the models´ parameters are further discussed, and the critical values for the different patterns of the entropic flow rates are derived. It is interesting to note that the derived critical parameter values are identical to the parameter values at which the corresponding difference systems exhibit large-scale chaotic behavior

Keywords

physiological models; Bertalanffy model; Gompertz model; Logistic model; biological growth processes; derived critical parameter values; difference systems; entropic flow rates; evolution time; large-scale chaotic behavior; model parameters; thermodynamic characteristics; Application software; Biological system modeling; Biology; Chaos; Computer networks; Computer science; Evolution (biology); Large-scale systems; Logistics; Thermodynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-2050-6

Type

conf

DOI

10.1109/IEMBS.1994.415381

Filename

415381