tailieunhanh - Báo cáo y học: " Scaling, growth and cyclicity in biology: a new computational approach"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: " Scaling, growth and cyclicity in biology: a new computational approach | Theoretical Biology and Medical Modelling BioMed Central Research Open Access Scaling growth and cyclicity in biology a new computational approach Pier Paolo Delsanto1 Antonio S Gliozzi 1 and Caterina Guiot2 Address 1Dept. Physics Politecnico di Torino Corso Duca degli Abruzzi 24 10129 Torino Italy and 2Dept. Neuroscience Università di Torino Corso Raffaello 30 10125 Torino Italy Email Pier Paolo Delsanto - Antonio S Gliozzi - Caterina Guiot - Corresponding author Published 29 February 2008 Received 14 December 2007 Theoretical Biology and Medical Modelling 2008 5 5 doi 1742-4682-5-5 Accepted 29 February 2008 This article is available from http content 5 1 5 2008 Delsanto et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background The Phenomenological Universalities approach has been developed by . Delsanto and collaborators during the past 2-3 years. It represents a new tool for the analysis of experimental datasets and cross-fertilization among different fields from physics engineering to medicine and social sciences. In fact it allows similarities to be detected among datasets in totally different fields and acts upon them as a magnifying glass enabling all the available information to be extracted in a simple way. In nonlinear problems it allows the nonscaling invariance to be retrieved by means of suitable redefined fractal-dimensioned variables. Results The main goal of the present contribution is to extend the applicability of the new approach to the study of problems of growth with cyclicity which are of particular relevance in the fields of biology and medicine. Conclusion As an example of its .