Spiral Disease Signature Library (SDSL) A Pattern-Based Framework for Describing Multi-Channel Signature Deviations in Biological and Complex Systems
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2025
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| _version_ | 1866901152537247744 |
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| author | Garbar, Iryna |
| author_facet | Garbar, Iryna |
| contents | <p>The <strong>Spiral Disease Signature Library (SDSL)</strong> is a theoretical framework for describing multi-layered signature deviations in biological, ecological, and systemic processes. Instead of classifying diseases through biochemical markers alone, SDSL models <em>pattern deviations</em> across eight communication channels: chemical, electrical, mechanical, thermodynamic, electromagnetic, microbiological-network, rhythmic, and system-coherence patterns.</p> <p>The framework does not propose diagnostic or therapeutic claims.<br>Instead, it introduces a pattern-science approach for describing how complex systems lose stability and how such changes can be represented abstractly as “signatures.”</p> <p>SDSL defines:<br>(1) a multi-channel signature vector,<br>(2) a deviation-metric relative to normative patterns,<br>(3) a coherence factor Ψ, and<br>(4) the Spiral Harmony Index (SI) as a generalized measure of systemic rhythm stability.</p> <p>The library provides a foundation for modeling system imbalance, comparing pattern states, designing simulations, and connecting biological observations with system-theoretical constructs.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17851496 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Spiral Disease Signature Library (SDSL) A Pattern-Based Framework for Describing Multi-Channel Signature Deviations in Biological and Complex Systems Garbar, Iryna pattern analysis coherence complexity deviation metrics multi-channel signatures rhythm dynamics entropy patterns <p>The <strong>Spiral Disease Signature Library (SDSL)</strong> is a theoretical framework for describing multi-layered signature deviations in biological, ecological, and systemic processes. Instead of classifying diseases through biochemical markers alone, SDSL models <em>pattern deviations</em> across eight communication channels: chemical, electrical, mechanical, thermodynamic, electromagnetic, microbiological-network, rhythmic, and system-coherence patterns.</p> <p>The framework does not propose diagnostic or therapeutic claims.<br>Instead, it introduces a pattern-science approach for describing how complex systems lose stability and how such changes can be represented abstractly as “signatures.”</p> <p>SDSL defines:<br>(1) a multi-channel signature vector,<br>(2) a deviation-metric relative to normative patterns,<br>(3) a coherence factor Ψ, and<br>(4) the Spiral Harmony Index (SI) as a generalized measure of systemic rhythm stability.</p> <p>The library provides a foundation for modeling system imbalance, comparing pattern states, designing simulations, and connecting biological observations with system-theoretical constructs.</p> |
| title | Spiral Disease Signature Library (SDSL) A Pattern-Based Framework for Describing Multi-Channel Signature Deviations in Biological and Complex Systems |
| topic | pattern analysis coherence complexity deviation metrics multi-channel signatures rhythm dynamics entropy patterns |
| url | https://doi.org/10.5281/zenodo.17851496 |