alexa Theory for Determining Energy Value in Nanometric Biophysical Systems
ISSN: 2332-2519

Journal of Astrobiology & Outreach
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Research Article

Theory for Determining Energy Value in Nanometric Biophysical Systems

Jonah Lissner*
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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Abstract

In a hypothesis for Gradual Ultramaterialism [1,2] Cognitive Physics and Computation work in greater terms than the redacted, structuralist-autonomous CNS, Neurophysical model [3,4], hadronic physics is the continuation or perpetuation attractor of the Ultra- meaning beyond, or Highest-dimensional primary causation and Brane point of origin.
The B/CNS is proposed as an Oracle Machine composed of subsets, NP-incomplete Quantum Turing Machines [5], infinitesimal Origin-system of modes of Quantum Algorithms for Time-like inertia of all Physical forces, e.g. Electro-magnetism mechanics, Gravity-Entropy, Weak Nuclearity, and Time-fluctuation, in inflationary physics and string energy landscape.
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 [6] per Heisenberg's Uncertainty Principle where (sx sp>/h/2).

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