Speeding of V<scp>o</scp><sub>2</sub> kinetics during moderate-intensity exercise subsequent to heavy-intensity exercise is associated with improved local O<sub>2</sub> distribution
Bibliographic record
Abstract
The relationship between the adjustment of muscle deoxygenation (Δ[HHb]) and phase II V(O(2p)) during moderate-intensity exercise was examined before (Mod 1) and after (Mod 2) a bout of heavy-intensity "priming" exercise. Moderate intensity V(O(2p)) and Δ[HHb] kinetics were determined in 18 young males (26 ± 3 yr). V(O(2p)) was measured breath-by-breath. Changes in Δ[HHb] of the vastus lateralis muscle were measured by near-infrared spectroscopy. V(O(2p)) and Δ[HHb] response profiles were fit using a monoexponential model, and scaled to a relative % of the response (0-100%). The Δ[HHb]/Vo(2) ratio for each individual (reflecting the local matching of O(2) delivery to O(2) utilization) was calculated as the average Δ[HHb]/Vo(2) response from 20 s to 120 s during the exercise on-transient. Phase II τV(O(2p)) was reduced in Mod 2 compared with Mod 1 (P < 0.05). The effective τ'Δ[HHb] remained the same in Mod 1 and Mod 2 (P > 0.05). During Mod 1, there was an "overshoot" in the Δ[HHb]/Vo(2) ratio (1.08; P < 0.05) that was not present during Mod 2 (1.01; P > 0.05). There was a positive correlation between the reduction in the Δ[HHb]/Vo(2) ratio and the smaller τV(O(2p)) from Mod 1 to Mod 2 (r = 0.78; P < 0.05). This study showed that a smaller τV(O(2p)) during a moderate bout of exercise subsequent to a heavy-intensity priming exercise was associated with improved microvascular O(2) delivery during the on-transient of exercise, as suggested by a smaller Δ[HHb]/Vo(2) ratio.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".