  Dynamical systems in nature such as fluid flows, heart beat patterns,
rainfall variability, stock market price fluctuations, etc. exhibit selfsimilar
fractal fluctuations on all scales in space and time. Power spectral analyses
of fractal fluctuations exhibit inverse power law form indicating long-range
space-time correlations, identified as self-organized criticality. The author
has proposed a general systems theory, which predicts the observed
self-organized criticality as signatures of quantumlike chaos. The model shows
that (1) the fractal fluctuations result from an overall logarithmic spiral
trajectory with the quasiperiodic Penrose tiling pattern for the internal
structure. Conventional power spectral analysis of such a logarithmic spiral
trajectory will show a continuum of eddies with progressive increase in phase.
(2) Power spectral analyses of fractal fluctuations of dynamical systems
exhibit the universal inverse power law form of the statistical normal
distribution. Such a result indicates that the additive amplitudes of eddies,
when squared (namely the variance) represent the probabilities, a
characteristic exhibited by the subatomic dynamics of quantum systems such as
the electron or photon. Further, long-range space-time correlations or
non-local connections such as that exhibited by macroscale dynamical systems
characterize quantum systems also. Therefore selfsimilar fractal fluctuations
generic to dynamical systems of all scales in nature is a signature of
quantumlike chaos. The model concepts are applied to show that the frequency
distribution of bases A, C, G, T in Human Chromosome Y DNA exhibit long-range
spatial correlations.
