MétaCan
Menu
Back to cohort
Record W2341290800 · doi:10.14288/1.0077210

Phase plane analysis of physical working capacity

2011· article· en· W2341290800 on OpenAlexaff
William Robert Boyd

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.

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)0.000
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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

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 designSimulation or modeling
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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)Same topicEngine and Fuel EmissionsFrench-language works237,207