Abstract
Abstract
Random Number Generator (RNG) coherence data has been widely used in collective consciousness and global coherence research. Such data can reveal departures from statistical randomness or increased coherence across RNG networks, but the inner dynamics of the observed field remain difficult to interpret from raw coherence values alone. This paper proposes the Field Resonance Model (FRM) as a threshold-based ecological interpretation framework that extends the concept of field coherence toward a more dynamic concept of field resonance. The FRM was developed through long-duration analysis of RNG coherence data from Device RNG, installed in the large Meditation Pyramid at Pyramid Valley International (PVI), Bengaluru, beginning April 2024. The PVI dataset was selected as the foundational developmental sample because it provided long-term continuity, repeated meditation events, a stable sacred-geometry environment, and rich lunar-cycle variability. The model evolved through several methodological refinements: moving from civil-day analysis to sunrise-to-sunrise segmentation, then to lunar-month and paksha-based stratification, and finally to nakshatra anchoring. RNG coherence values were interpreted through threshold zones: Elevated, High, Very High, and Extreme. These zones were then transformed into HRV-like field rhythm layers named Manas, Prana, and Buddhi, with Extreme events interpreted as transition-critical or quantum-leap-like field events. The analogy of Ayurvedic Nadi Pariksha was used as an interpretive framework for classifying layered field rhythms, not as a literal equivalence. The resulting FRM generates composite field parameters such as Coupling, Criticality, Integrated Field Index (IFI), Field Potential Index (FPI), and Field Evolution Index (FEI). The paper presents FRM as an exploratory but structured ecological signal interpretation framework for studying subtle energy fields, high-energy pyramids, sacred geometries, heart coherence work, and consciousness-field research.
Direct answer
What can I do from this paper page?
Use this page to scan "THE FIELD RESONANCE MODEL (FRM)-FROM RNG COHERENCE TO ADAPTIVE FIELD ECOLOGY" quickly: start with the summary and abstract, then check the authors, source, topics, and related papers. From here, open Scollr to follow Biofield Effects and Biophysics research, save the paper, or map adjacent work.
Research areas
Follow related topics
Citation
BibTeX
@article{Nehra2026FIELD,
title = {THE FIELD RESONANCE MODEL (FRM)-FROM RNG COHERENCE TO ADAPTIVE FIELD ECOLOGY},
author = {Sangeeta Nehra and Anil Kumar Sinha and Ritu Ritu},
journal = {International Journal of Drug Delivery Technology},
year = {2026},
doi = {10.25258/ijddt.16.86s.129},
url = {https://doi.org/10.25258/ijddt.16.86s.129}
}
FAQ
Using this paper in a discovery workflow
How do I find related work for this paper?
Use the related papers and topic links on this page as starting points. In Scollr, you can also open the paper and build a literature map around its references, citing papers, and related work.
How can I keep up with new Biofield Effects and Biophysics research papers?
Follow Biofield Effects and Biophysics research in Scollr. New papers from the topic flow into a personalized feed, and you can save useful studies to revisit later.
Can I cite this paper from this page?
This page includes a static BibTeX block for THE FIELD RESONANCE MODEL (FRM)-FROM RNG COHERENCE TO ADAPTIVE FIELD ECOLOGY. Always verify the DOI, source, and publication details against the publisher record before submitting a manuscript.
Follow this research in Scollr
Follow the topics and authors behind this paper, save useful studies, and build a literature map when you are ready to go deeper.
Get the app