Research Article

Mathematical Modelling on Lamprey GnRH-III using Autoregressive Logistic Processes

by  S. Lakshmi, R. Karthik
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Issue 7
Published: September 2013
Authors: S. Lakshmi, R. Karthik
10.5120/13407-1060
PDF

S. Lakshmi, R. Karthik . Mathematical Modelling on Lamprey GnRH-III using Autoregressive Logistic Processes. International Journal of Computer Applications. 77, 7 (September 2013), 19-22. DOI=10.5120/13407-1060

                        @article{ 10.5120/13407-1060,
                        author  = { S. Lakshmi,R. Karthik },
                        title   = { Mathematical Modelling on Lamprey GnRH-III using Autoregressive Logistic Processes },
                        journal = { International Journal of Computer Applications },
                        year    = { 2013 },
                        volume  = { 77 },
                        number  = { 7 },
                        pages   = { 19-22 },
                        doi     = { 10.5120/13407-1060 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A S. Lakshmi
                        %A R. Karthik
                        %T Mathematical Modelling on Lamprey GnRH-III using Autoregressive Logistic Processes%T 
                        %J International Journal of Computer Applications
                        %V 77
                        %N 7
                        %P 19-22
                        %R 10.5120/13407-1060
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a mathematical model is developed based on current biological concepts of the lamprey GnRH-III involved in LH and FSH concentration . The physiologic role played by GnRH-III on gonadotropin secretion in mammalian species is controversial. Although GnRH-III is a weak GnRH agonist, early research in mammalian species suggested that GnRH-III can selectively stimulate the secretion of FSH without changing concentration of LH. Statistical analysis was carried out using power logistics, the diagnostic values of FSH , LH as well as LH/FSH ratio at different time points during GnRH test were evaluated using logistic processes.

References
  • Amstalden, M. , D. A. Zieba, M. R. Garcia, R. L. Stanko, T. H. Welsh, Jr. , W. H. Hansel, andG. L. Williams. 2004. Evidence that lamprey GnRH-III does not release FSH selectively in cattle. Reproduction 127: 25-42.
  • Arnold,B. C. and Robertson ,C. A . (1989) Autoregressive logistic processes. J . Appl. Prob. 26, 524-521.
  • Johnson, N. L. And Kotz ,S . (1970) Distributions in Statistics : Continuous Univariate Distribution, Vol. II. Wiley, New York
  • Lakshmi S. , Stochastic Model for Stress Effects of Homeostatic Systems, The Journal of the Indian Academy of Mathematics, 26(2), 2004.
  • Lewls, P. A. W. (1985) Some simple models for continuous variate time series. Water Resources Bull. 21, 625-644.
  • McCann, S. M. , and W. H. Yu. 2001. FSH-releasing peptides. US Patent 6,200,471.
  • Padmanabhan, V. , F. J. Karsch, and J. S. Lee. 2002. Hypothalamic, pituitary and gonadal regulation of FSH. Reproduction (Cambridge, England) Supplement 59: 67-82.
  • Rao,P . S. AND Johnson D. H. (1988) A first-order A R model for non-Gaussian time series. Proc. IEEE Int. Conf. on ASSP. 2, 1524-1527.
  • Yeh H. C. , Arnold, B. C. AND Robertson, C. A. (1988) Pareto processes. J. Appl. Prob. 25, 291-201. 521
  • Yu, W. H. , S. Karanth, C. A. Mastronardi, S. Sealfon, C. Dean, W. L. Dees, and S. M. McCann. 2002. Lamprey GnRH-III acts on its putative receptor via nitric oxide torelease follicle-stimulating hormone specifically. Experimental Biology and Medicine Maywood, N. J 227: 786-792.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Autoregressive Logistic processes Luteinizing hormone Follicle-stimulating hormone Simulation Stochastic model

Powered by PhDFocusTM