Obligatory neural feedback control of exercise cardiorespiratory function and performance
Bibliographic record
Abstract
Our review addresses the contributions of four sources of neural sensory feedback, namely, locomotor and respiratory muscle afferents, lung stretch receptors, and carotid chemoreceptors, to the cardiorespiratory responses to rhythmic exercise and to exercise limitation in health and disease. Experiments in healthy humans and animals that used a blockade or partial blockade of each feedback mechanism during physiological exercise demonstrated the obligatory nature of each of these sensory inputs to cardiorespiratory function, locomotor effort and muscle fatigue, and exercise performance. More recent research has revealed enhanced contributions of these feedback influences to exercise cardiorespiratory function in chronic heart failure, chronic obstructive pulmonary disease, and hypertension. Future research needs to address: 1) how these obligatory neural feedback mechanisms might interact with a raised respiratory CO 2 exchange in regulating the hyperpnea of exercise; and 2) the pathogenesis of feedback hypersensitivity in chronic diseases and the means and therapeutic benefits of its normalization.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".