Can Marine Mammals Be a Reliable Source for the Manufacture of Prosthetic Heart Valves for Percutaneous Surgery?
Bibliographic record
Abstract
Marine mammals experience unique physiological conditions when diving. Myocardial function is sustained despite a 90% reduction of the blood flow in the coronaries. Therefore, their heart valves and pericardium could serve as a unique source of tissue for the manufacture of prosthetic heart valves. The pericardium of a stillborn pup sea lion was investigated to determine its morphology using gross observation, scanning electron microscopy (SEM), light microscopy, and transmission electron microscopy (TEM). Depending upon the site of sampling, the structure of the pericardium varied significantly. The atrial sample was well structured with wavy bundles of collagen fibers. The thickness in the atrial sample was regular with a smooth serous surface. The fibrous side of the pericardium of the auricular sample was irregular and incorporated microcapillaries. Both the sternoperitoneal ligament and the phrenoperitoneal ligament section were irregular and incorporated various amounts of adipocytes. Because of the increased amount of adipocytes, the fibrils of the collagen fibers were also observed to be occasionally agglutinated. Practically, the harvesting of pericardium would have to be restricted to the atrial surface. The presence of adipocytes in the pericardium wall makes the selection of this tissue a poor choice compared to alternative existing tissue sources.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".