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Record W1980240167 · doi:10.1115/sbc2011-53676

Oscillatory Blood Flow in a Deformable Human Aortic Arch

2011· article· en· W1980240167 on OpenAlexaff
Jing Wang, Suzie Brown, Stephen Tullis

Bibliographic record

VenueASME 2011 Summer Bioengineering Conference, Parts A and B · 2011
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPulsatile flowBlood flowAortaVentricleCardiac cycleAortic archArchCardiologyAnatomyArteryFlow (mathematics)Internal medicineMedicineBiomedical engineeringMechanicsPhysicsStructural engineeringEngineering

Abstract

fetched live from OpenAlex

The aorta is the largest artery in humans, stemming from the left ventricle of the heart and stretching down to the abdomen. It is responsible for distributing oxygenated blood to the rest of the body during each cardiac cycle. The pulsatile blood flow is complex in nature and has been previously modeled computationally in an effort to understand its effect on cardiovascular diseases and medical device design interaction [4,8–9]. However, the majority of these models either treat the vessel wall as rigid or have significantly simplified geometries, which from a physiological perspective are not true of large vessels such as the aorta. Here, the complex mechanical interaction between pulsatile blood flow and wall dynamics in the aortic arch is investigated using geometry adopted directly from CT images.

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 score0.015
Threshold uncertainty score0.700

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 head0.070
GPT teacher head0.257
Teacher spread0.187 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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