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Efficacy of Pall-of Press vs. Russian Twists on Core muscles of recreational athletes -A Randomized Trial

2025· article· en· W4409895522 on OpenAlexaboutno aff
Joseph Oliver Raj

Bibliographic record

VenueInternational Journal For Multidisciplinary Research · 2025
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsAthletesCore (optical fiber)RecreationPhysical therapyRandomized controlled trialPsychologyMedicinePolitical scienceInternal medicineEngineeringTelecommunicationsLaw

Abstract

fetched live from OpenAlex

Over the last few years, Pall-of Press is an exercise widely used by strength and conditioning coaches in improving the rotational core muscles strength. Pall-of Press is an isometric type of exercise. Russian Twists is a dynamic type of exercise used widely over decades in any core muscles protocol. This study compares the difference between Pall-of Press (static/isometric) and Russian twists (dynamic). This study compares the effect of Pall-of Press and Russian Twists on stability of the rotational muscles of core. This study also observed if there was any difference produced in the endurance and strength of core muscles (rotational muscles) by Pall-of Press and Russian Twists. According to the methodology, 50 recreational athletes were included in the study after screening them based on the selection criteria. McGill’s Torso Endurance test was used to measure endurance and Kneeling Medicine Ball Throw Test (Rotational component) was used to measure the strength of rotational muscles of core.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.125
GPT teacher head0.490
Teacher spread0.365 · 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 designRandomized trial
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
Published2025
Admission routes1
Has abstractyes

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