MEFI Biological Layer Mapping: A Cross-Scale Visualization Framework from Elemental Resonance to Organism–Environment Interaction

This record presents a full visual journal entry for the MEFI Biological Layer Mapping sequence, a cross-scale framework developed by Steven Greenmyer for visualizing biological organization through the Modified Einstein Field Interaction (MEFI) theory. The work maps a continuous MEFI pathway from elemental resonance through molecular structure, amino acids, peptides, protein folding, chromosomes, DNA sequencing, RNA transcription, translation, cellular response, tissue coupling, regional biological structure, organ/system integration, whole-body organism integration, and environment/behavior interaction. The central framework uses the unchanged MEFI core formula: F_MEFI(r,t) = [k_r*(1/r^2) - k_c*(1/r^2)(1/(1+r))] + ΔQf_UFR(t) Each layer is treated as a nested source-node system in which structure and function emerge through repeated patterns of source formation, interaction, bridge support, response selection, closure, propagation, feedback, and higher-order handoff. The included visual journal uses CSV-derived charts and layer maps to show how the same MEFI pathway can be followed from the smallest mapped components to whole-body organism behavior. This upload includes the full visual journal PDF and a supporting archive of MEFI mapping files, charts, CSV tables, simulations, and generated artifacts. The purpose of the work is to demonstrate how MEFI can be used as a visualization and mapping framework for biological functions and, more broadly, for functions that may follow similar repeating field-interaction paths across scale. This work is presented as a theoretical and visualization framework, not as a replacement for established biological, chemical, or medical models. Its value is in providing a unified cross-scale way to observe, organize, and compare how complex systems may develop through repeated source, interaction, bridge, response, closure, and feedback behavior. The significance of this framework is that the same unchanged MEFI core formula can be used to organize and visualize every mapped layer. This makes MEFI more than a biological model; it functions as a universal mapping framework for substance, structure, interaction, and function. Biological systems are one expression of the path, but the same mapping logic can be applied to non-biological substances and larger universal systems wherever source nodes, interaction fields, bridge behavior, compression/expansion relationships, closure, propagation, and feedback are present. Within the MEFI framework developed in this work, the progression is not speculative in structure: the path has been mapped from the smallest available resonance layer through the full organism-scale behavior layer. This establishes MEFI as a revolutionary cross-scale visualization framework because it makes the construction of complex systems legible across scale using one consistent field-interaction path.