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Record W4413059453 · doi:10.3390/prosthesis7040086

The Roles of Leaflet Geometry in the Structural Deterioration of Bioprosthetic Aortic Valves

2025· article· en· W4413059453 on OpenAlexafffund
Yaghoub Dabiri, Kishan Narine

Bibliographic record

VenueProsthesis · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsLibin Cardiovascular Institute of Alberta
FundersUniversity of Calgary
KeywordsCurvatureLeaflet (botany)Materials scienceUltimate tensile strengthvon Mises yield criterionBearing (navigation)Stress (linguistics)Composite materialFinite element methodLoad bearingStructural engineeringGeometryMathematicsGeologyEngineeringPhysics

Abstract

fetched live from OpenAlex

Objectives: Our goal was to assess the role of leaflet geometry on the structural deterioration of bioprosthetic aortic valves (BAVs) in a closed configuration. Methods: With a Fung-type orthotropic model, finite element modeling was used to create ten cases with parabolic, circular and spline leaflet curvatures and six leaflet angles. Results: A circular circumferential curvature led to lower von Mises and compressive stresses in both the coaptation and load-bearing areas, reduced tensile stresses in the coaptation regions, and increased tensile stresses in the load-bearing areas. A parabolic radial curvature reduced von Mises stresses in the coaptation, as well as the load-bearing regions, reduced compressive stresses in the coaptation, and reduced tensile stresses in the load-bearing regions, leading to a slight increase in the minimized tensile stress in the coaptation regions (1.794 vs. 1.765 MPa) and the minimized compressive stress in the load-bearing regions (0.772 vs. 0.768 MPa). Within a range of downward inclination of the leaflets, all stresses in the coaptation regions decreased. A parabolic circumferential curvature, a linear radial curvature, and, for most cases, upward leaflet inclinations were associated with larger contact pressures between the leaflets. Conclusions: A parabolic radial curvature and downward leaflet inclination likely lead to the longer durability of BAVs.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.161

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.323
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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