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Record W2341290800 · doi:10.14288/1.0077210

Phase plane analysis of physical working capacity

2011· article· en· W2341290800 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

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldEngineering
TopicEngine and Fuel Emissions
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhase (matter)Physics

Abstract

fetched live from OpenAlex

The purpose of this study was to determine the relationship of selected measurements from the phase plane loop of the brachial pulse wave to physical working capacity as measured on a bicycle ergometer. The selected measurements were: 1. +ṗ(x) which indicates the pulse pressure¹ when maximum positive rate of change of pressure occurs. 2. + ṗ(y) which is a measure of the maximum positive rate of change of pressure. 3. - ṗ(x) which indicates the pulse pressure when maximum negative rate of change of pressure occurs. 4. - ṗ(y) which is a measure of maximum negative rate of change of pressure. 5. + ṗ/- ṗ which is the ratio of maximum positive rate of change of pulse pressure to maximum negative rate of change of pulse pressure. 6. Pr./Ṗr. which is the ratio of pulse pressure to maximum rate of change of pulse pressure. Thirty-two young male adults underwent a bicycle ergometer testing procedure in which physical working capacity (PWC₁₇₀) was determined. On the testing day a resting phase plane loop was first recorded. The PWC₁₇₀ test was then administered, followed by the immediate recording of a post-exercise loop. Two subsequent loops were then recorded at recovery intervals of five and ten minutes. Thus, twenty-four direct loop measurements were obtained from each subject. In addition, the difference between each post-exercise loop measurement and the corresponding resting value was calculated making a total of forty-two loop variables per subject. A large correlation matrix was constructed in which all loop variables as well as PWC₁₇₀, PWC₁₇₀ divided by body weight, body weight, and the slope of the PWC₁₇₀ plotted line (see Appendix A) were included. The following results were observed. PWC₁₇₀ correlated significantly with: 1. immediate post-exercise -ṗ(y). 2. immediate post-exercise +ṗ/-ṗ. 3. immediate post-exercise - rest Pr./Ṗr. No loop variables correlated significantly with PWC₁₇₀ divided by body weight. However, body weight alone correlated significantly with: 1. immediate post-exercise +ṗ/-ṗ. 2. immediate post-exercise - rest +ṗ/-ṗ. The slope of the PWC₁₇₀ plotted line correlated significantly with: 1. immediate post-exercise +ṗ/-ṗ. 2. immediate post-exercise -ṗ(y). 3. resting -ṗ(y). A stepwise multiple regression analysis calculated by computer indicated that the sum of the independent contributions of three variables accounted for 42.7% of the total variance of PWC₁₇₀. These were: 1. immediate post-exercise - rest Pr./Ṗr. 2. immediate post-exercise -ṗ(y). 3. 5 minute post-exercise +ṗ(x). The multiple R between these three loop variables and PWC₁₇₀ was .65 ¹The term "pulse pressure" as used here does not have the conventional meaning, i.e. the difference between systolic and diastolic pressures, but refers to any given point along the range between systolic and diastolic pressures.

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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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.177
Teacher spread0.158 · 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