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From: jorisa (temps_at_wanadoo.fr)
Date: 11/22/04
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Date: Mon, 22 Nov 2004 15:22:14 +0000 (UTC)
On 14 Mar 2003 20:27:41 -0800, jorisa wrote:
>The aim of the following work is to suggest a new concept on the way
>of appreciating and measuring time.
>
>A - Origin of the hypothesis
>
>In 1993, I carried out a study on a portion of the Rhône to Sete
canal
>in order to regulate the water level of the canal. The parameters
>having an impact on the water level are as follows:
>a- the level of the Rhône
>b- the crossing of the lock
>c- withdrawal by gravity
>d- withdrawal by pumping
>e- the rainfalls
>f- the Nourriguier overflow
>g- a single wave
>
>The traditional method consists in measuring the variations of the
>level of the canal along with all the parameters. But, because of the
>fluctuation of all the parameters, that method is not feasible .That
>is why I have identified and plotted each parameter on a curve. Then
I
>have tried to solve the equation representing them. Thanks to the use
>of the method Lapace.
>I have been able to simplify and solve the equation. Then I have
tried
>to figure out why I had not managed to simplify the f(t) equation
>whereas the simplification of the x(p) equation was completed in a
>couple of hours. The difference between the two mathetical systems is
>an exponential time-base. Hence the hypothesis that time is
>exponential.
>
>B - Presentation of the hypothesis
>
>Physical phenomena are apprehended by curves. The physical systems
>studied are either naturally stable or naturally unstable. Thus the 2
>types of reactions can be observed:
>
>a- either the system tends towards a new state of equilibrium, it is
>naturally stable.
>b- or the system tends towards a drift, it is naturally unstable.
>
>Each factor which influences a naturally stable system does it
through
>an integration according to the time factor (f(t).
>Each f(t) integration can be shown by measuring time in an
exponential
>way.
>Therefore it is possible to identify the number of factors
influencing
>a physical phenomenon.
>Each factor is identified by a sizeless number named Jo and can be
>recognized.
>
>The law for a factor on a stable physical phenomenon is as follows:
>Y(t)=k(l-e(-t/jo) )
>
>Y being the value measured, the physical phenomenon under study
>K being the equilibrium value (plateau)
>T being the time measured
>Jo being the value representing the curve
>
>Each factor which makes the system unstable does it up to a limit
>value.
>The law for a factor on an unstable physical phenomenon may be
written
>as follows:
>Either y = kt
>Or y(t) = jo e(-t/jo)+ t-jo
>Or y(t) = ke-at
>
>C - General method of application of the hypothesis
>
>To avoid the influence of the other factors and to make up for the
>errors ddue to measurement, take two dots on the tangent which has
led
>to the experimental curve yl,y2.
>Yl =k(l-ee ((-tl/jo) and y2 = k(l-e (-t2/jo)
>With yl,,, y2,, tll,t2 known
>This leads to k = yl/((l-e (-tl/jo) ) = y2/(l-e (-t2/jo)
>Hence the value of jo
>A theoretical curve is plotted with k and jo
>
>a- If the curve is identical to the experimental curve, it can be
said
>that a single factor, characterized by jo, influences the curve.
>
>b- If the curve is different, at the first point of divergence of the
>2 curves, it is necessary to reproduce the operation including y (t)
=
>k((l-e (-t/jol)) (l-e (-t/jo2)).
>With k(l-e(-t/jol) value found in a.
>The operation is repeated as many times as needed to get an
>experimental curve similar to the theoretical curve.
>Thanks to a copy to scale, it is possible to find out if one factor
or
>several play a rôle in the system.
>It is possible to design a software which will determine the number
>and the characteristic ofthe factors involved in the experimental
>system. Indeed, each action which modifies a system will be spotted
by
>a dimensionless number named jo and will easily be identified in the
>course of the analysis of other systems.
>
>D - Applications
>
>In Biology, after correction of the time base, yhe factors involved
in
>such complex systems can be identified.
>The feasibility of the application has been verified on "nutritional
>needs of poultry " by Eugène Simmonet, a work selected by the
Académie
>d'Agriculture and the Académie de Médecine, page 73, and on "the
>androgens" by A Simmonet, page 188.
>
>- In the mechanic of fluids, I have successfully applied the method
to
>studied on thermal exchanges and on the regulations of level.
>- In philosophy, the hypothesis implies that a mere instant for an
>adult is an eternity for a child. One month for a one-month-old child
>represents 100% of its life, whereas, a month for a 72-year-old
>personn represents 1/864. The hypothesis is that time for a man or
for
>most of the physical phenomena I have met varies in an exponential
way
>of the first order, that is to say: x(t))= k((l-e (-t/jo) ) for man
>x being: biological time
>k being the age of death
>and jo as a function of genetics.
>
>E - Conclusion
>
>The current system based on time is a good indicator for a collective
>system, but the use of a system based on bioligical time eliminates
>the modification of indicators which make the systems more complex.
>
>AUTHOR: ANDRE pierre jocelyn 1993
>
>F - Example
>
>
>Material and Method
>The experimental results of the curve of reaction of the H.I.V.
>protease resulting from the data base Scirus(1) were treated
>mathematically according to the assumption prédente.
>The curve tending towards a balance, one can say that it is a
>naturally stable system.
>Thus (2) is written in the form: y = K (1-e(-t/jo)) with y = the
final
>signal K = the value of the plate (concept of quantity) jo = a number
>without dimension defining protease HIV curves 1: K = 7,1
>.jo are deducted at the beginning from balance and are equal to 20.
>Y = K (1 - (E (- T/20))
>With these values one realizes that the value of jo is smaller at the
>beginning of reaction.
>Thus the reaction speed depends on what already reacted, which is
>written: Y = K (1 - E (- T/(20 (1 - e(- T/ jo ')))))
>Application:
>Y = 7,1 (1 - E (- T/(20 (1 - E (- T/14))))
>
>Curve 2:
>Thus K = 11
>jo are deducted at the beginning from balance and are equal to 31.
>Y = K (1 - (E (- T/31))
>With these values one realizes that the value of jo is smaller at the
>beginning of reaction.
>Thus the reaction speed depends on what already reacted, which is
>written: Y = K (1 - E (- T/(31 (1 - e(- T/ jo ')))))
>Application:
>Y = 11 (1 - E (- T/(31 (1 - E (- T/12)))))
>
>curve 3:
>K = 18
>jo are deducted at the beginning from balance and are equal to 47.
>Y = K (1 - (E (- T/47))
>With these values one realizes that the value of jo is smaller at the
>beginning of reaction.
>Thus the reaction speed depends on what already reacted, which is
>written: Y = K (1 - E (- T/(47 (1 - e(- T/ jo ')))))
>Application:
>Y = 18 (1 - E (- T/(47 (1 - E (- T/11,27))))
>One realizes that on this system product it finished slows down the
>reaction speed.
>By this equation, the curve signal of protease HIV according to the
>substrate is followed in its totality; the experimental data can be
>expressed mathematically by taking an exponential base of time.
>It is noticed that the value k/jo curve 1 equalizes the value k/jo
>curve 2. The value of k/jo (2,82) appears characteristic of protease
>HIV.
>An exploitation of other curves and a thorough study would make it
>possible to better characterize this parameter.
>"Kinetic assay for HIV proteinase subunit dissociation." Kuzmic, P.
>(1993) Biochem. Biophys. Res. Commun. 191, 998-1003.
>"Stabilization of HIV proteinase dimer by bound substrate." Kuzmic,
>P.; Garcia-Echeverria, C.; and Rich, D.H. (1993) Biochem. Biophys.
>Res. Commun. 194, 301-5.
You know in summer, one likes yourselves at the edge of water, also I
continued the observation, and I found the key which enabled me to
analyze this channel, thing that nobody had stated to know to make.
What I observed, it is that: each thing is analysable only compared
to itself, thus the lines of the fluids have their own lives, in fact
these principles physical were analysable only compared to themselves
in an exponential way. I could only lean me on my perception; over
the time of the event, we were still in the first days of my training
course, however the first contacts were taken, I had posed my marks,
the event already was finished, thus I recognized the time of the
event, the time which makes that each new experiment tends towards the
infinite one in the first moments for stabilized in the death of a
repetition. These event which starts of a balance towards another
which oublit only with the next event, if ever.
The concept was not long in developing, and revealed an individual
time which was particular for me, in connection with my age, id for
these young secretaries or this benevolent manager. Each one it his
at the time locates lived moment, at ten years I look itself like
Marcel Pagnol using the eyes of a ten year old child, but at thirty
years, I look myself using the eyes of this thirty year old man.
Social time, this common time which marks the appointment was present
like ogre, but the physical systems erased it while smiling, making
the stop watch creasy from its operation.
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