A Neuro-Symbolic Bioinformatics Framework for Unlocking Chordate Physiological Dark Data and Validating Allometric Scaling
Zhiyao Duan, Guihu Zhao, Changyun Li, Bo Liu · 2026
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Description
Zhiyao Duan and three co-authors mine a century of papers to free animal trait data trapped in text and tables. Such data feed big-picture ecology, but hand copying is slow and plain AI slips on numbers. Their 2026 frame pairs image reading with code-based math in a sealed work space.
The hunt spanned 117 years of sources and built a trait base for more than sixteen hundred chordate species. Field scores for the pull-out ran high. A check against a known mammal base agreed well on mass and burn rate. The freed data also traced the classic scale laws for burn rate and brain size. Each record keeps its source trail, the team notes.
Catalog record
| CREATOR | Zhiyao Duan, Guihu Zhao, Changyun Li, Bo Liu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 67 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |