Feel free to have some fun with this thought....
(Bios= cycle-= fractal.) (fractal = pattern (infinite?) 
                     bios= fractal???????
Does conscience having energy = cycle, which  = fractal???????
And what would that mean if true?
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n a message dated 4/22/00 3:50:24 AM !!!First Boot!!!, 
[log in to unmask] writes:

<< Yes. Depends how 'life' is defined, whether in the biological sense 
 of organisms
 that reproduce, or more broadly the life that we as humans 
 experience, going to work,
 having babies, watching tv, writing e-mails, etc.
  >>
Nature's cycles in a fractal state of mind
  17 APRIL 2000
 Contact:
 Nature's cycles in a fractal state of mind

 Weather, battery life and even the way your lawn grows are all linked by
 four mathematical laws, according to a paper published in the April 3rd
 Physical Review Letters. Yonathan Shapir and Jacob Jorné of the University
 of Rochester have shown how natural cyclical events, such as seasonal
 weather, generate very specific patterns‹the same patterns that govern the
 geometric images called fractals.

 Fractals are mathematical designs that repeat their patterns on infinitely
 smaller scales: No matter how much you magnify a fractal, the same patterns
 appear. These patterns can be created over time. As sediment builds up on a
 surface, for instance, the tiny irregularities in the first layer become
 larger and more exaggerated in successive layers as they are laid down.
 Scientists have shown previously that many structures in nature, from
 lightning bolts to cauliflower heads, produce this fractal pattern, but the
 new findings are the first to demonstrate that the fractal patterns hold
 true for nature's next level of complexity, cycles.

 "Often things are not formed by a single process, but by a combination of
 growth and recession," explains theoretical physicist Shapir. "What's
 amazing is that so many growth and recession cycles can be described by just
 a few fractal solutions."

 Fractal solutions--equations with numbers that create fractal patterns--can
 help predict events that are based on natural cycles that build up and break
 down materials over and over, explains Jorné, professor of chemical
 engineering. Jorné and Shapir expect that fractal equations can help
 physicians estimate the spread of cells that grow and recede, such as a
 tumor in a chemotherapy patient. They also expect that the life span of car
 batteries can be predicted faster and more cheaply because engineers will be
 able to extrapolate the data from a few charge cycles to thousands. Even
 predicting such seemingly random things like how your lawn will spread may
 be possible by measuring rain and light cycles and matching them to the
 proper equation. "This work shows that there are some basic laws underlying
 many of nature's cycles," says Jorné. "They may not be obvious, we may not
 see the connections at first, but underneath it all the same patterns are
 running."

 Jayanth Banavar, head of physics at Penn State University and an expert on
 fractal phenomena, said, "This work is very exciting and opens entirely new
 avenues for future investigations. Besides its scientific interest, this
 work promises to have important technological ramifications."
 Jorné first approached Shapir with a simple question: Would natural cycles
 create fractal patterns?

 "I had a hunch they would," says Shapir. It took him several months of
 mathematical tinkering, however, before he discovered the right approach.
 "The hardest nut to crack was how to make a certain, very complicated
 mathematical framework fit this experiment." That complex framework, known
 by the equally complex name "Renormalization Group Theory," helps reveal
 fractal-like properties in equations, and earned its developer the Nobel
 Prize in physics in 1982.

 "Once we understood how to apply it to cycles, everything fell into place in
 a matter of days."

 Shapir and graduate student Subhadip Raychaudhuri used a computer to run
 cycle simulations. Tiny objects were randomly deposited on different types
 of surfaces. After each deposition, the researchers simulated a process,
 like water erosion or battery discharge, that removed some of the objects in
 an equally random way. After running the simulations tens of thousands of
 times, Shapir and Raychaudhuri found that no matter what the type of
 objects, forces or surfaces involved, each of the simulations could be
 described by fractal solutions. As each new layer of objects was laid down,
 its surface became more and more irregular, repeating the same basic shapes
 on larger and larger scales, just like a fractal.

 With the simulation results in hand, Jorné and David G. Foster, a former
 graduate student and senior engineer at Eastman Kodak Co., designed an
 experiment that deposited atoms of silver onto an electrode for five
 minutes, followed by a reverse in charge to remove some of the silver for
 two and one-half minutes. The silver atoms accumulated in a fractal pattern
 just as predicted.

 Shapir and Jorné already see practical applications for their findings.
 Often rechargeable batteries fail because each charge deposits material
 inside the battery, and each discharge charge removes some of that material.
 After several such charge cycles, the buildup can span the two leads inside
 the battery and short it out. Since the material does not accumulate in a
 uniform fashion, battery makers have had to test batteries by discharging
 and recharging them over and over until they fail. Shapir and Jorné think
 that with fractal equations, manufacturers can run through only a few charge
 accelerated cycles and calculate how long it will be until the battery fails
 without doing expensive, prolonged testing.
 ###

 The research was funded by the National Science Foundation, the Office of
 Naval Research, and Kodak.


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