Endothelial Cell Morphology around Graded Stenoses of the Dog Common Carotid Artery
Bibliographic record
Abstract
Graded stenoses (40-64% diameter reduction) were applied to dog common carotid arteries under anesthesia, and 27 days later the poststenotic velocity field was examined using transcutaneous pulsed Doppler velocimetry. Following in situ fixation, endothelial cell area, shape and orientation was measured by digitizing endothelial cell outlines in scanning electron micrographs. Endothelial cell area in the vicinity of the stenosis throat (within +/- 1 diameter) was reduced. No relation to stenosis hemodynamics was apparent. Cell area was increased 5 diameters downstream; in this region, there was turbulence due to jet break up. Cells were maximally rounded at the stenosis throat and gradually returned to upstream elongation by 5 diameters downstream. There was a region of flow separation and low velocity recirculation between the stenosis and the site of maximum turbulence, thus, downstream cell rounding was associated with flow separation. Subdivision of the experiments into four stenosis grades revealed little variation of the pattern of morphology between groups. It is possible that this is related to flow limitation with increasing grade. Elongation of endothelial cells through the entrance of the stenosis was apparent in only four experiments. Poststenotic dilatation of greater than 12% external diameter increase was noted in only four out of the sixteen experiments. In general, the relation of cell elongation to shear stress is supported, but this relationship does not fully explain endothelial cell shape at a stenosis.
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 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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".