Cell Language Theory, The: Connecting Mind And Matter

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372 The Cell Language Theory: Connecting Mind and Matter

b2861 The Cell Language Theory: Connecting Mind and Matter “6x9”

theory of Brillouin (1953, 1956). ... Information has three dimensions:
a = amount, m = meaning, and v = value. ... The time evolution of an
N-particle system traces out what may be referred to as a semi-stochas-
tic trajectory in the gnergy space which projects a stochastic shadow
onto the phase space and a deterministic shadow onto the information
space. ... Stochastic processes are the apparently random processes that
exhibit regularities although not predictable. Deterministic processes
exhibit properties that are predictable. (8.21)

In 1948, Weaver [331] distinguished three physical systems character-
ized by (a) simplicity, (b) disorganized complexity, and (c) organized
complexity. The first was studied in Newtonian mechanics, the second in
statistical mechanics, and the third in biomedical sciences. It seems clear
to me that what I called “infostatistical mechanics” above belongs to the
third group of studies for which there has been no well-established meth-
ods of analysis comparable to the Newtonian mechanics or statistical
mechanics, until just recently when the microarray method of analyzing
genome-wide RNA levels in cells emerged in the mid-1990s [301, 305]
coupled with various statistical analytic programs. The field of the study
of RNA data measured with microarrays and analyzed quantitatively
using diverse methods including PDE was named “ribonoscopy” (where
“ribo” indicates ribonucleic acid or RNA) [25, Chapters 18 and 19].
I did not realize until I attended the 11th Water Congress in Sophia in
October 2016 that there was a new experimental device invented in 2002
called CymaScope (see Figure 4.14) and it took me about a month to
slowly come to realize that CymaScope may be a useful experimental tool
for studying infostatistical mechanics of organized complex systems, just
as the telescope is an essential tool to study the deterministic motions of
stars in the sky and the microscope for studying the random Brownian
motions of molecules inside the living cell. Some of these ideas are sum-
marized in Table 8.6. This table compares the relatively well-established
method of PDE-based ribonoscopy (see Chapter 7) and the newly emerg-
ing method of infostatistical mechanics called “PDE-based CymaScopy”.
We are currently engaged in trying to digitize sufficient number of
CymaScopic images (i.e., CymaGlyphs) to generate histograms so that we
can see if they can be fit into PDE. If they do, CymaScopy may play an
important role in the future development of infostatistical mechanics.

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