Neuronal Regulation of Aortic Valve Cusps
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Heart valves have long been considered exclusively passive structures that open and close in response to changes in transvalvular pressure during the cardiac cycle. Although this is partly true, recent evidence suggests that valves are far more sophisticated structures. Microscopic examination of heart valves reveals a complex network of endothelial cells, interstitial cells, an extracellular matrix and a rich network of intrinsic nerves. The distribution of these nerve networks varies between the four valves, but is remarkably conserved between species. The present review will focus mainly on aortic valve innervation for several reasons: it is most commonly involved in disease processes, it lies in a unique hemodynamic environment and is exposed to extreme mechanical forces. These nerves are likely to play a significant role in the modulation of aortic valve structure and function and its adaptation to different hemodynamic and humoral conditions. The objectives of this review are first to describe the anatomy of aortic valve innervation, then detail the functional significance of innervation to the valve and finally make the case for the clinical relevance of understanding the neural control of aortic valves and its potential pharmacologic implications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.008 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it