Optimum Design of an Anchoring System for Percutaneous Mitral Valve Repair
Bibliographic record
Abstract
In a novel procedure for percutaneous mitral valve repair, inter-related hook-shaped anchors are inserted around the annulus to replace the surgeon’s suturing in open-heart ring annuloplasty. To properly attach to the tissue, the anchors should withstand large deformation applied during the delivery process and recover their original shape when released into the heart tissue. To this end, stress concentration is avoided along the anchors, which are fabricated of a super-elastic material, by means of shape optimization. Shape optimization consists in finding the smoothest anchor mid-curve possible, which minimizes the von Mises stresses applied during the delivery process. An optimization algorithm aimed at minimizing the weighted rms value of the curvature is introduced. A geometrically optimum shape is obtained by equally weighting the curvature values. Further reduction in the stress values is possible by weighting the curvature values along the anchor in an iterative procedure that yields a structurally optimum anchor. The weights at each iteration are defined proportional to the stress distribution along the anchor obtained in the previous iteration.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".