Hemodynamics Assessments of Ascending Thoracic Aortic Aneurysm - the Influence of Hematocrit with Fluid-Structure Interaction Analysis
Bibliographic record
Abstract
Aortic aneurysm is one of the cardiovascular diseaseswith localized abnormal growth of a blood vessel with a risk of rupture or dissect. The precise pathological pathway for disease progression in aneurysm formation is not completely understood. In the current study, ascending thoracic aortic aneurysms are investigated using fully coupled fluid-structure interactionmethod with the focus to investigate the importance of changes in hematocrit under normotension and hypertension. Blood was modelled as incompressible flow within laminar regimewith the use of the Quemada model to account for the effect of hematocrits. The anisotropic hyperelastic properties of the aortic wall were considered. Given the change in the degreeof shear thinning from the non-Newtonian behavior of blood due to the change in hematocrit, the simulated result could provide valuable information in clinical practice. Indeed, our results suggested that with the increase in hematocrit, the shear stress distribution as well as the maximum shear stress magnitude along the arterial wall would increase significantly. The arterial wall stress distributions, however, remained unchanged with respect to the changes in hematocrit.
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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".