Physicochemical analysis of phasic menstrual cycle effects on acid-base balance
Bibliographic record
Abstract
In accordance with Stewart's physicochemical approach, the three independent determinants of plasma hydrogen ion concentration ([H(+)]) were measured at rest and during exercise in the follicular (FP) and luteal phase (LP) of the human menstrual cycle. Healthy, physically active women with similar physical characteristics were tested during either the FP (n = 14) or LP (n = 14). Arterialized blood samples were obtained at rest and after 5 min of upright cycling at both 70 and 110% of the ventilatory threshold (T(Vent)). Measurements included plasma [H(+)], arterial carbon dioxide tension (Pa(CO(2))), total weak acid ([A(Tot)]) as reflected by total protein, and the strong-ion difference ([SID]). The transition from rest to exercise in both groups resulted in a significant increase in [H(+)] at 70% T(Vent) versus rest and at 110% T(Vent) versus both rest and 70% T(Vent). No significant between-group differences were observed for [H(+)] at rest or in response to exercise. At rest in the LP, [A(Tot)] and Pa(CO(2)) were significantly lower (acts to decrease [H(+)]) compared with the FP. This effect was offset by a reduction in [SID] (acts to increase [H(+)]). After the transition from rest to exercise, significantly lower [A(Tot)] during the LP was again observed. Although the [SID] and Pa(CO(2)) were not significantly different between groups, trends for changes in these two variables were similar to changes in the resting state. In conclusion, mechanisms regulating [H(+)] exhibit phase-related differences to ensure [H(+)] is relatively constant regardless of progesterone-mediated ventilatory changes during the LP.
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 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".