This framework derives constants from physics while exploring muscle hypertrophy and cognitive learning.
Key Points
The research aims to explore muscle hypertrophy within the context of the Cymatic K-Space framework and its implications in physics and cognitive learning.
Developed a framework termed Cymatic K-Space Mechanics (CKS).
Analyzed LIGO phase-error residuals for empirical validation.
Derives constants using hexagonal geometry principles.
Showed that certain constants align perfectly with empirical data from LIGO.
Derived hidden constants related to electroweak mixing and anomalies.
Proposed a unified model integrating physical constants and cognitive learning principles.