Brinkman-Forchheimr model for fat accumulation in arterial wall
Bibliographic record
Abstract
A new model based on Brinkman-Forchheimr equation on transport of low-density lipoprotein (LDL) in artery wall has been developed that includes the multi-layered model. Artery wall has been considered as homogeneous porous media, Staverman filtration and osmotic reflection coefficient has been considered. The realistic physical properties are available and have been obtained from the literature. Various models have been compared with the proposed model. The results are consistent with the other numerical and experimental studies. Effects of hypertension and pulsatile flow on LDL transport in arterial multi-layered wall have been studied in detail. Effect of pulsatile flow is imperative since blood flow in artery is a pulsatile flow. Hyperthermia is important for the treatment of cancer. Soret effect on LDL concentration distribution has been analysed for the hyperthermia condition. This model will help to better understand the effect of hypertension and hyperthermia on atherosclerotic diseases. Results reveal that LDL accumulation is directly related to the transmural pressure. For the straight artery, effect of hyperthermia is negligible for LDL accumulation due to the very thin arterial wall. Effect of pulsatile flow in LDL transport has been found negligible.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".