Bibliographic record
Abstract
Introduction: The purpose of this study was to investigate the effects of crocin and resistance training on liver enzymes and Hypothalamic -pituitary-gonadal axis hormones in toxicated male rats by Nandrolone decanoate.Method & materials: Fifty six male Wistar rats (age: 9 weeks, weight: 190±10g) were randomly divided into eight groups: control group (Co, n=7), sham group (Sh), 10 mg/kg of Nandrolone decanoate group (Nd), resistance training group (RT), 12.5 mg/kg of crocin group (C1), 25 mg/kg of crocin group (C2), RT and 12.5 mg/kg of crocin group (RT-C1) , RT and 25 mg/kg of crocin group (RT-C2).All the groups were injected by Nandrolone decanoate (10mlg/kg of body) except (Co and Sh)groups.Resistance training was progressively and consisted of climbing the ladder and started with carrying a load of 50% of body weight.Twenty four hours after the last injection, the animals were sacrificed.Blood samples were obtained from left ventricle immediately and analyzed for liver enzymes (AST, ALT, ALP and GGT), albumin, total protein and PG axis hormones (LH, FSH, testosterone, DHT).Testicular and liver were brought out of their body for analyzing.Data were analyzed using two way analysis of variance.Results: Data analysis revealed that the interaction effect of crocin and resistance training cause to significant changes on ALT, GGT, Albumin, Total protein, FSH levels(P<0.05).The main effect of crocin on LH, testosterone, DHT, albumin and total protein were significant (P<0.05).Also, there were not any significant changes in number of spermatogonia, primary spermatocytes, spermatids and sertoli cells (P>0.05).Conclusion: In general, resistance training and crocin consumption result in eliminate or improve of complication of Nandrolone decanoate in liver and testis organ.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.765 | 0.719 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".