Shear and Stress in the Walls of a Paediatric Ventricular Assist Device
Bibliographic record
Abstract
Cardiac diseases are a major cause of death, unfortunately in serious conditions the only treatment is a transplant.However, the waiting line is long and most patients cannot wait until a suitable donor is found.This is a great issue specially for children due to their frail health.In this context, ventricular assist devices (VAD) improve patient's survival rates prolonging their lives.Notwithstanding, the construction of such devices is complex and even with the best available design blood degradation, through haemolyse and thrombocytes, is inevitable.However, a well design pump can minimize the damage but this is even more difficulty in children due to the large variation in body size.In this work, a paediatric assist device (PVAD) developed by InCor was studied to evaluate the shear rate and the viscous stress near the lateral wall.This was done using time resolved image velocimetry (TR-PIV).This is a critical region because is where the liquid can experience the highest stress or ever the greater stagnation.Therefore, most degradation occurs close to the walls.The results indicate a tendence towards low strain and stress unless for short periods in the peak of the diastole and systole in the vicinity of the walls.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".