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Record W4416630136 · doi:10.1038/s41526-025-00538-0

A combined individualized cycling exercise and artificial gravity training protocol as a spaceflight deconditioning countermeasure

2025· article· en· W4416630136 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenpj Microgravity · 2025
Typearticle
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsSimon Fraser University
FundersMohammed Bin Rashid University of Medicine and Health Sciences
KeywordsCyclingOrthostatic intoleranceDeconditioningSpaceflightOrthostatic vital signsHeart rateHead-Down TiltCardiorespiratory fitnessBed restBlood pressure

Abstract

fetched live from OpenAlex

Orthostatic intolerance (OI) remains a post-flight challenge for astronauts. As part of the ESA/CNES BRACE bed rest study, we tested, in ambulatory participants, a combined individualized cycling exercise and artificial gravity (AG) training procedure as a multi-system OI countermeasure. The training limits of cycling intensity and AG exposure were based on individual V̇O2peak and presyncopal AG level. In a randomized crossover design, heart rate (HR) and blood pressure responses were assessed during cycling with or without AG exposure. Our results demonstrated cardiovascular stimuli (i.e., higher HR and blood pressure) during cycling with AG exposure. Greater maximum HR responses were observed in men with AG exposure. This novel individualized exercise and orthostatic training protocol was successful in providing each participant with equally strenuous cardiovascular stimuli close to their tolerance limits regardless of individual and sex differences.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.343
Teacher spread0.323 · 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