Tengri Protocol: Deterministic Stability Signatures in Viral RNA (HCV Case Study)

English Abstract/Description for Zenodo (v3) Description: This dataset provides the validated results of the Tengri Protocol applied to the Hepatitis C virus (HCV) genome. In Version 3, we have implemented a Localized Windowing (WTA) algorithm to eliminate the edge-effect artifacts (global cumulative sum) present in previous versions. Key Updates in v3: Mathematical Correction: The "V-shaped" divergence curve has been replaced with a high-resolution thermodynamic landscape, where structural anomalies appear as localized divergence peaks (Structural Seams) exceeding the 5-sigma statistical threshold. Refined Methodology: The term "Thermodynamic Energy" has been updated to "Thermodynamic Weight Approximation" to reflect the heuristic nature of the engine. Data Integrity: The provided CSV report (NC_009828_anomalies.csv) contains precisely 80 critical nodes, correlating with known functional domains of the HCV genome. Files Included: Tengri_Engineering_Report_v3.pdf: Full root cause analysis and validation report. Tengri_Local_Energy_Profile_v3.png: Corrected structural divergence visualization. NC_009828_anomalies.csv: Validated critical structural nodes (pos, energy). Methodological Note: The Tengri Protocol operates as an automated pre-screening heuristic for detecting thermodynamic instability in RNA backbones, serving as a triage mechanism for genomic integrity verification.