Modeling the hemodynamic response due to vasodilatory signals conducted upstream along the arteriolar tree
Bibliographic record
Abstract
To study local regulation of convective O 2 delivery, in vivo experiments were conducted using a gas chamber to oscillate the O 2 environment at one surface of rat skeletal muscle. Intravital video microscopy enabled quantification of the hemodynamic (RBC velocity, V, and hematocrit, H) and O 2 saturation responses in capillaries. To assess how changes in arteriolar diameters lead to the observed blood flow response, a model of the lower three levels of the arteriolar tree was constructed based on published data. Sinusoidal changes in vessel diameter were imposed at the distal end of one terminal arteriole, and the upstream conduction of these diameter changes was simulated. A quasi‐steady model of two‐phase (RBCs and plasma) blood flow was used to calculate time‐dependent hemodynamics in the network. For a range of forcing frequencies, conduction velocities (V cond ), and attenuation lengths, the ability of the system to control RBC supply in a terminal arteriole was studied. Attenuation lengths within the physiological range (2mm to 2cm) did not affect the flow response. Decreases in frequency and increases in V cond increased the amplitude of the flow response. For a frequency of 0.025 Hz, varying V cond from 10 μm/sec to 50 μm/sec increased the RBC supply response by 35%. Predicted changes in H and V showed qualitative agreement with experimental results. Supported by NIH HL‐089125, CIHR to CGE and DG, and NSERC to SJMM.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".