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Record W2790133456 · doi:10.1142/s0219519418500148

PROPOSED OVAL ST. JUDE MEDICAL VALVE: EFFECT OF HEART RATE

2018· article· en· W2790133456 on OpenAlexafffund
Mehdi Jahandardoost, Luke Ohlmann, Guy Fradet, Hadi Mohammadi

Bibliographic record

VenueJournal of Mechanics in Medicine and Biology · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of British Columbia
KeywordsHemodynamicsShear stressMaterials scienceMechanical heart-valveCardiologyAnnulus (botany)Heart valveInternal medicineMedicineComposite material

Abstract

fetched live from OpenAlex

In this study, the hemodynamic performance of the conventional St. Jude Medical (SJM) valve and our proposed design known as the oval SJM valve are studied and compared. These studies are based on a wide range of physiological heart rates, i.e., 70–130[Formula: see text]bpm, in the opening phase. We designed and developed a precise computational platform to assess the hemodynamics of bileaflet mechanical heart valves for laminar and turbulent regimes. Also, as one of the fundamental changes applied to the conventional SJM vales, the housing is considered oval similar to oval shape of annulus. Results clearly indicate hemodynamic improvements in the proposed design over the SJM valve. The improvements are characterized by lower shear stress and wall shear stress distributions around the valve and leaflets, and lower valve pressure drop compared to that of the conventional SJM model. The proposed design shows potential and merits additional development.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.238
Threshold uncertainty score0.299

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.024
GPT teacher head0.404
Teacher spread0.380 · 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

Citations5
Published2018
Admission routes2
Has abstractyes

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