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Record W3026090109 · doi:10.23937/2469-5718/1510160

Effect of Different Exercise Mode and Ursolic Acid Supplementation on FNDC5 and UCP1 Gene Expression and Plasma Irisin in Rats

2020· article· en· W3026090109 on OpenAlexaff
teimourian Mahzad, Hoseyn Fatolahi, Mateenhomaei Hasan

Bibliographic record

VenueInternational Journal of Sports and Exercise Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsCanadian Society for Exercise Physiology
Fundersnot available
KeywordsFNDC5Ursolic acidEndocrinologyAdipose tissueInternal medicineBrown adipose tissueAerobic exerciseMedicineChemistryBiologyBiochemistryBotany

Abstract

fetched live from OpenAlex

Each exercise mode can lead to a specific effect. On the other hand, herbal supplements increase the effects of exercise. Yet the interactive effect of exercise mode and Ursolic Acid (UA) on the Brown Adipose Tissue (BAT) has not been well explored. The aim of the present study was to investigate the effect of 12-week Aerobic Training (AT), Resistance Training (RT), and High Intensity Interval Training (HIIT) along with UA supplementation on muscle FNDC5 and adipose tissue UCP1 gene expression as well as plasma irisin levels.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.300
Teacher spread0.289 · 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 designBench or experimental
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

Citations6
Published2020
Admission routes1
Has abstractyes

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Same venueInternational Journal of Sports and Exercise MedicineSame topicAdipose Tissue and MetabolismFrench-language works237,207