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Record W2512944498 · doi:10.1139/cjp-2014-0584

Effects of peripheral layer thickness on pulsatile flow of Herschel–Bulkley fluid through a stenotic artery

2016· article· en· W2512944498 on OpenAlexvenueno aff
Akbar Zaman, Nasir Ali

Bibliographic record

VenueCanadian Journal of Physics · 2016
Typearticle
Languageen
FieldMedicine
TopicBlood properties and coagulation
Canadian institutionsnot available
Fundersnot available
KeywordsPulsatile flowStreamlines, streaklines, and pathlinesPhysicsMechanicsHerschel–Bulkley fluidFlow (mathematics)Shear stressNewtonian fluidConstitutive equationBoundary layerThermodynamicsMedicineCardiology

Abstract

fetched live from OpenAlex

A study is conducted to analyze two-phase flow model of blood in a flexible stenotic artery. The Newtonian and Herschel–Bulkley constitutive relations are used to model the core and peripheral regions, respectively. The arterial wall is assumed to be elastic. By making appropriate assumptions, the flow problem is transformed into a set of nonlinear partial different equations. These equation together with suitable initial and boundary data are solved using an explicit finite difference scheme. The radial and axial velocities of the streaming blood are computed for several values of the emerging parameters. The axial distribution of flow rate, resistance impedance, and wall shear stress are also shown graphically and discussed in detail. The instantaneous streamlines patterns of the flow are also shown.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.270

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 head0.018
GPT teacher head0.224
Teacher spread0.206 · 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 designBench or experimental
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

Citations16
Published2016
Admission routes1
Has abstractyes

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