Bibliographic record
Abstract
Several processes including endothelial angiogenesis, vascular neointimal lesion formation, vascular inflammation process, lipoprotein metabolism, and hypertension are critically involved in antherogenesis or atherosclerosis. This chapter aims to introduce the role of miRNAs in endothelial angiogenesis. Angiogenesis is the growth of new blood vessels from pre-existing vessels. Functional endothelial cells are required for angiogenesis, a process involving proliferation, migration, and maturation of endothelial cells. Several miRNAs have been shown to critically regulate vascular angiogenesis and they can be classified into pro-angiogenic miRNAs and anti-angiogenic miRNAs. Pro-angiogenic miRNAs indentified to date include miR-130a, miR- 17~92 cluster, miR-210, miR-378, miR-7f, miR-27b, and miR-126. The known anti-angiogenic miRNAs include miR-320, miR-221 and miR-222. In addition, the miRNAs that are reportedly involved in tumor vascular biology are also introduced in this chapter.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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 teacher head, 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".