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Quantitative Analysis of the Model-System

  • Ferdinand Heinmets

Abstract

The principal limiting factors in setting up a model-system are the following:
  1. a.

    The capacity of the computer, i.e., whether it has a sufficient number of operational units and elements. Since the computer is used as a mathematical tool, but not as a simulating device, the number of differential equations which can be programmed on the computer is one of the limiting factors.

     
  2. b.

    The ability of the operator to solve the problem. This may be considered one of the most important limiting factors. After a certain amount of experimentation, it was decided to establish a model-system which contained four basic functional genes which represent group-properties. This approach is justified if one considers that the group-property is based on the fact that all basic functional entities are built up with a certain number of integral building blocks, and a complete number of blocks have to be there in order to build a basic functional entity. If one building block is missing, a functional unit cannot be built. Consequently, the group-property will give a cross-behavior of the system. In the initial condition it is assumed that all functional entities have a relative value of unity and as a function of time all entities will start to grow. They reach approximately double value at the end of the generation time, which has been selected as a convenient time interval in the framework of computer observation time. It will be noted that all functional entities do not start to grow at the same rate. Instead, they each have different kinetic characteristics, and many entities may initially decline in absolute value and later grow more rapidly than other elements. The growth of the model-system is initiated from initial conditions by activating the external pool. This process is equivalent to taking cells and placing them in a nutrient medium and measuring their growth.

     

Keywords

Functional System Cellular Injury Amino Acid Pool Initial Transient Functional Entity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1966

Authors and Affiliations

  • Ferdinand Heinmets
    • 1
  1. 1.Biophysics Laboratory, Pioneering Research DivisionU. S. Army Natick LaboratoriesNatickUSA

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