Cardiopulmonary values and organ blood flows before and during heat stress: data in nine subjects at rest in the upright position
Bibliographic record
Abstract
Physiological changes associated with thermoregulation can influence the kinetics of chemicals in the human body such as alveolar ventilation (VA) and redistribution of blood flow to organs. In this study, the influence of heat stress on various physiological parameters was evaluated in nine male volunteers during sessions of exposure to wet-bulb globe temperatures (WBGT) of 21, 25, and 30 °C for 4 h. Skin and core temperatures and more than 20 cardiopulmonary parameters were measured. Liver, kidneys, brain, skin, and muscles blood flows were also determined based on published measurements. Results show that most subjects (eight out of nine) have been affected by the inhalation of hot and dry air at the WBGT of 30 °C. High respiratory rates, superficial tidal volumes, and low VA values were notably observed. The skin blood flow increased by 2.16-fold, whereas the renal blood flow and liver blood flow decreased by about by 11% and 18%, respectively. A complete set of key cardiopulmonary parameters in healthy male adults before and during heat stress was generated for use in physiologically based pharmacokinetic modeling. A toxicokinetic studies are ongoing to evaluate the impact of heat stress on the absorption, biotransformation and excretion rates of volatile xenobiotics.
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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 | 0.001 | 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".