Effect of swimming during pregnancy on vascular endothelial growth factor level of neonatal rat kidney tissue
Bibliographic record
Abstract
Background and Objective: The kidney has a key role in homeostatic regulation. Vascular endothelial growth factor (VEGF) is essential regulator of stimulatory and inhibitory processes for neonatal, post-natal endothelial cell differentiation. This study was done to determine the effect of maternal swimming during pregnancy on VEGF level of kidney in rat pups. Methods: In this experimental study, sixteen Wistar rat dams were allocated into interventional swimming and control groups. In the first day of pregnancy, in interventional group, swimming was performed for 30 minutes a day and 5 minutes every day was added until the time of training gradually reached to one hour per workout. Dams swimming endurance training were performed in 5 days per week for three weeks. Pups’ kidneys were removed two days after birth and kindney tissue VEGF level was determined using ELISA method. Results: Kidney tissue VEGF level in interventional swimming group (133.13 pg/ml) was significantly increased in compared to controls (48.19 pg/ml) (P<0.05). Conclusion: Swimming endurance training increases the pups’ kidney VEGF level.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".