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Record W3099256357 · doi:10.11159/ffhmt20.128

Temporal Flow Evolution on a Pediatric Ventricular Assist Device

2020· article· en· W3099256357 on OpenAlexvenueno aff
Vítor Augusto Andreghetto Bortolin, Bernardo Luiz Harry Diniz Lemos, Rodrigo de Lima Amaral, Simão Bacht, Marcelo Mazzeto, Idágene A. Cestari, Júlio Romano Maneghini

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2020
Typearticle
Languageen
FieldEngineering
TopicElectric and Hybrid Vehicle Technologies
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsComputer scienceFlow (mathematics)PhysicsMechanics

Abstract

fetched live from OpenAlex

The transplant line is long and slow for patients with cardiac diseases, especially children. The support of ventricular assist devices (VAD) may stabilize the patient until a suitable donor is found. VADs are auxiliary pumps that help the failing heart to pump the blood. However, the use of a VAD is associated with clinical complications due to blood trauma (hemolysis) or thrombus formation. The destruction of the blood cells is strongly correlated with the shear stress that is imposed in the flow through all the devices parts, while regions of very slow velocities (stagnation) may increase the probability of thrombus formation. One particularly difficulty lies in pediatric devices due to strong variations in sizes and flows to accommodate children of various ages. To allow future improvement in the PVAD, the present work aims to analyze the temporal flow evolution inside a pulsatile pediatric ventricular assistance device (PVAD) under development in our institution. The time resolved particle image velocimetry technique was used to observe the evolution of flow structures inside the device. In this study, three parallel planes were studied to visualize the three-dimensionality of the flow. In the experiments, the acquisition rate was 3250 Hz and pumping rate set at 70 bpm. The results show important asymmetries in the filling and ejection periods especially near the valves.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.566

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 head0.020
GPT teacher head0.209
Teacher spread0.189 · 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 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
Published2020
Admission routes1
Has abstractyes

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Same venueProceedings of the ... International Conference on Fluid Flow, Heat and Mass TransferSame topicElectric and Hybrid Vehicle TechnologiesFrench-language works237,207