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Record W4225120475 · doi:10.53730/ijhs.v6ns3.6610

Comparison of the effect of 4 weeks core stability training and foot intrinsic muscle training on foot posture

2022· article· en· W4225120475 on OpenAlexaboutno aff
Srinivasa Rao Pachava, Pooja Shobhan, Sowmya Mulpuri

Bibliographic record

VenueInternational Journal of Health Sciences · 2022
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsnot available
FundersGuru Nanak Dev University
KeywordsFoot (prosody)Core (optical fiber)MedicineCore stabilityPhysical medicine and rehabilitationPhysical therapyTraining (meteorology)Computer science

Abstract

fetched live from OpenAlex

Persons with pronated feet may be prone to more injuries than these with normal feet. As it disrupts the body’s natural alignment and causes increased impact when the foot strikes the ground. The purpose of the present study was to compare the effects of 4-week core stability training and foot intrinsic muscle training on foot posture in females. Twenty-six females with pronated feet were randomly divided into two groups. The group A performed the core stability training (n=13) and the group B performed the foot intrinsic muscle training (n=13) for four weeks with frequency of 5 sessions per week. Foot Posture Index, McGill protocol, weight distribution and foot load response were assessed at the baseline and at the end of four weeks. Dependent t-test was used to check the differences within the group before and after the program. Independent t-test was used to compare the differences between groups after the intervention.

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)0.002
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 score0.813
Threshold uncertainty score0.181

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.097
GPT teacher head0.353
Teacher spread0.256 · 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 designObservational
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

Citations2
Published2022
Admission routes1
Has abstractyes

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