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Record W2074854130 · doi:10.1080/00140139.2012.746738

Physiological strain of next generation combat uniforms with chemical and biological protection: importance of clothing vents

2012· article· en· W2074854130 on OpenAlexaff
Tom M. McLellan, Cathy Boscarino, Elizabeth J. Duncan

Bibliographic record

VenueErgonomics · 2012
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsRectal temperatureChemistryStrain (injury)Environmental scienceAnimal scienceMedicineAnatomyBiology

Abstract

fetched live from OpenAlex

This study examined whether vents in the arms, legs and chest of new protective assault uniforms (PTAU) reduced heat strain at 35 °C during a low dressed state (DSlow), and subsequently improved tolerance time (TT) after transitioning to DShigh compared with the battle dress uniform and overgarment (BDU+O). Small but significant reductions in rectal temperature (Tre), heart rate and vapour pressures over the thigh and shin were observed during DSlow with vents open (37.9 ± 0.2 °C, 120 ± 10 b/min, 3.7 ± 0.4 and 3.5 ± 1.0 kPa) versus closed (38.0 ± 0.1 °C, 127 ± 5 b/min, 4.3 ± 0.3 and 4.6 ± 0.5 kPa). During DShigh Tre was reduced and TT increased significantly with the PTAUs (1.1 ± 0.2 °C/h and 46 ± 24 min) versus BDU+O (1.6 ± 0.2 °C/h and 33 ± 16 min). The vents marginally reduced heat strain during DSlow and extended TT during DShigh) compared with BDU+O. Practitioner Summary: Clothing vents in chemical and biological protective uniforms can assist with heat transfer in situations where the uniforms must be worn for extended periods prior to exposure to a hazardous condition. Once the vents are closed, exposure time is increased and the increase in body temperature reduced.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.128
GPT teacher head0.290
Teacher spread0.161 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

Quick stats

Citations10
Published2012
Admission routes1
Has abstractyes

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