Numerical Studies of the Jet Interaction Flowfield with a Main Jet and an Array of Smaller Jets
Bibliographic record
Abstract
Endothelial dysfunction leading to increased vascular tone is implicated in the pathogenesis of cardiovascular disease, hypertension and pregnancy-related complications like preeclampsia and intrauterine growth restriction. Vascular tone is regulated by a balance between vasoconstrictor and vasodilator signals. Some vascular mediators circulate in blood, whereas others are produced by the endothelium and are delivered to the underlying vascular smooth muscle cells (VSMCs). It is proposed that increased permeability of resistance arteries in preeclampsia allows access of circulating vasoactive factors to VSMCs leading to increased vascular tone. This review focuses on the role of sphingosine 1-phosphate (S1P). This sphingolipid enhances the endothelial barrier, but it can also disrupt the barrier under certain conditions. These S1P-mediated effects on the endothelial barrier have been demonstrated in cultured endothelial cells and in isolated venules. They depend on S1P concentrations, the S1P receptors expressed and the vascular bed. However, no studies have examined if vascular tone is regulated by S1P in resistance arteries through changes in endothelial permeability and the leakage of circulating vasoconstrictors. Our recent studies using the pressure myograph system show that access of infused vasoconstrictors to VSMCs is blocked under low S1P concentrations. Pathophysiological levels of infused S1P disrupt the barrier and maximally increase vascular tone by facilitating access of itself and a co-infused vasoconstrictor to the VSMCs. Interestingly, infusion of an intermediate physiological concentration of S1P showed a small increase in endothelial permeability with controlled leakage of a co-infused vasoconstrictor that led to sub-maximal vascular tone development. These and other studies delineate the important role of S1P in the regulation of vascular tone and emphasize how dysfunction of this regulation can lead to pregnancy-related disorders.
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 | 0.000 | 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) | 0.000 | 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".