MétaCan
Menu
← Back to cohort
Record W4323322397 · doi:10.18280/ijdne.180109

Numerical Analysis of Au/Hybird Nanofluid Flowing Through an Asymmetry-Type Stenotic Rotator-Cuff Balloon under the Influence of Magnetic Field

2023· article· en· W4323322397 on OpenAlexvenueno aff
Ebenezer Olubunmi Ige, Funmilayo Helen Oyelami, Moses E. Etokowoh, Olaide Yetunde Saka-Balogun

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2023
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsnot available
Fundersnot available
KeywordsNanofluidBalloonRotator cuffMagnetic fieldInflatableMechanicsCuffAsymmetryMedicinePhysicsCardiologySurgeryMechanical engineeringEngineeringHeat transfer

Abstract

fetched live from OpenAlex

Rotator-cuff tear and vascular-related stenosis are common diseases in the elder persons.A balloon-like rotator-cuff is proscribed as the usual clinical intervention.Recently, computational schemes are being sought to enhance clinical outcomes in vascular-related repairs.This paper presents a numerical treatment of asymmetrically-shaped goldembedded nanoparticle in stenotized conduit under the influence of magnetic field.We described the dynamics of fluid and particle transport under externally imposed field effect using established mathematical formulations.Thereafter, a robust numerical scheme built around spectra-relaxation scheme to implement the solution over conformation in the Au-blood stream under magnetic field imposition.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.242
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Design & Nature and Ecodynamics→Same topicFluid Dynamics and Turbulent Flows→French-language works237,207→