Theory for Determining Energy Value in Nanometric Biophysical Systems
|Dept. of Material Engineering, Athens Institute for Education and Research, USA|
|Corresponding Author :||Jonah Lissner
Dept. of Material Engineering
Athens Institute for Education and Research, USA
E-mail: [email protected]
|Received: August 27, 2015; Accepted: September 24, 2015; Published: September 28, 2015|
|Citation: Jonah Lissner (2015) Theory for Determining Energy Value in Nanometric Biophysical Systems. Astrobiol Outreach 3:141. doi: 10.4172/2332-2519.1000141|
|Copyright: © 2015 Jonah Lissner. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.|
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ICSO as deterministic, biophysical model for representation generates a Gestalt probability in DGW of basic, Quantum Mechanical working system states. Self-organization and Hypercomputation of Zeta functions, Fuzzy sets and Dirac delta, Casimir effect, Planck constants, de Broglie Equation and Shannon entropy are developed in real-time for modal computation in DGWE. The Probability of Origin Point in the QTM is the generator for the proposed point of attraction in R  per Heisenberg's Uncertainty Principle where (sx sp>/h/2).