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Are all Heat Loads Created Equal?

2017· article· en· W2620222457 on OpenAlexaffabout
Robert D. Meade, Glen P. Kenny

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2017
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAnimal scienceSWEATChemistryCalorimetryThermoregulationHeart rateMetabolic rateDry heatHeat loadInternal medicineMedicineMaterials scienceBiologyThermodynamics

Abstract

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The evaporative requirement for heat balance (Ereq; calculated as metabolic heat production minus dry heat loss) is the primary determinant of whole-body sweat rate during exercise in compensable conditions. However, the relative influence of metabolic and environmental heat load on physiological responses at a given Ereq remains unclear. PURPOSE: To assess the thermal and cardiovascular responses during exercise bouts at a similar fixed Ereq but for different combinations of metabolic and environmental heat loads. METHODS: Nine healthy males (46 ± 8 yrs) performed four experimental trials consisting of 75 min of semi-recumbent cycling wherein dry heat exchange and metabolic heat production were monitored continuously with the latter adjusted to achieve a fixed Ereq of 400 W. The respective metabolic heat productions and ambient temperatures for each trial were: i) 442 W and 30°C (439W[30°C]), ii) 391 W and 35°C (391W[35°C]), iii) 317 W and 40°C (317W[40°C]) and iv) 258 W and 45°C (258W[45°C]). Whole-body sweat rate was measured via direct calorimetry. Esophageal (Tes) and mean skin (Tsk) temperatures as well as heart rate (HR) were measured continuously. Mean body temperature (Tmb) and physiological strain index (PSI) were calculated from Tes and Tsk, and Tes and HR, respectively. RESULTS: During exercise whole-body sweat rate was similar between conditions (P=0.48), as was Tmb (P=0.65). In contrast, Tes was greater in 439W[30°C] (37.67 ± 0.04°C) and 391W[35°C] (37.58 ± 0.07°C) relative to both 317W[40°C] (37.35 ± 0.06°C) and 258W[45°C] (37.20 ± 0.07°C; all P≤0.05). However, Tsk was different between all conditions (33.85 ± 0.16, 34.53 ± 0.08, 35.67 ± 0.07 and 36.54 ± 0.08°C for 439W[30°C], 391W[35°C], 317W[40°C] and 258W[45°C], respectively; all P<0.01). HR was greater in 439W[30°C] (107 ± 3 beats·min-1) in comparison to both 317W[40°C] (103 ± 4 beats·min-1) and 258W[45°C] (89 ± 2 beats·min-1; both P<0.01) whereas PSI was elevated in 439W[30°C] and 391W[35°C] compared with 317W[40°C] and 258W[45°C] (all P≤0.04). CONCLUSIONS: While exercise performed at a fixed Ereq resulted in similar whole-body sweat rates and Tmb, physiological responses (i.e. Tes, Tsk, HR and PSI) varied as a function of the relative contribution of metabolic and environmental heat load. Supported by Ontario Ministry of Labour and NSERC

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.009
Scholarly communication0.0050.007
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0200.003

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.

Opus teacher head0.021
GPT teacher head0.266
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations0
Published2017
Admission routes2
Has abstractyes

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