Endurance Exercise Potentially influenced by a Novel Functional Beverage
Bibliographic record
Abstract
A variety of products are available on the market with the aim to improve physical performance. Recently, a new product (JustBIO Inc, CA) allows in vitro ATP resynthesis, preserves mitochondria structure and protect cells against cell death. PURPOSE: To measure the effect of three different beverages on Endurance Exercise (EE). METHODS: Participants were randomly assigned to 3 groups: group A (n = 7; 3F 4H; 27 ± 4 years), group B (n = 7; 3F 4H; 28 ± 7 years) and group C (n = 6; 2F 4H, 27 ± 5 years). They were instructed to consume beverages (JustBIO Inc, CA) respective to their group four days, one per day, preceding the EE and the fifth beverage consumption one hour before the test. The beverage A, B and C contained respectively: blueberry extract; blueberry extract with a biological active ingredient; and juice (without blueberry) with a biological extract that accelerated ATP release. The study was double blind. The participants, after a warm-up on ergocycle, performed an EE on ergocycle, where the participant had to achieve the greatest distance to 300kJ at 150 W. RESULTS: A tendency of increased distance (km) in group C (15.35 ± 3.7, 15.99 ± 3.07) was observed compared to group A (16.54 ± 2.87, 15.83 ± 2.82) and group B (15.53 ± 2.67; 15.86 ± 2.30), but not significant (p = 0.395; p = 0.950 respectively). Group C was distinct for average pedaling cadence (85.4 ± 20.52, 89.09 ± 17.16 rpm) with the other two groups (A: 91.91 ± 15.86, 87.96 ± 15.65; B: 86.47 ± 14.94, 87.47 ± 13.65), but it was not significant (p = 0.425, p = 0.901 respectively). Also, the average speed (km/h) on the EE test of the group C (31.98 ± 6.14) was higher during the second session compared to group A (31.66 ± 5.65) and group B (31.72 ± 4.6), but is not significant (p = 0.395; p = 0.950 respectively). CONCLUSIONS: The additive juice (C) appeared to have a tendency towards improving cycling performance (distance, average pedaling cadence and speed). It is possible that the variability of our data is too high to observe a significant difference between the groups.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".