Effect of the Exposure of Aloe Vera Polyphenol Fraction on Changes in Blood Glucose of Koi Fish (Cyprinus carpio) as a Stress Response
Bibliographic record
Abstract
Aloe vera polyphenols can cause stress in fish, which results in changes in the blood such as increased blood glucose in fish.The purpose of this study was to analyze the blood glucose parameters of koi fish after being exposed to the polyphenol fraction of A. vera.The method used, previously observed that LC 50% resulted in 150 mg/kg treatment causing 50% death so the dose of A. vera fraction injected into koi fish muscles by the treatment: Control (-) without treatment, Control (+) given tannin/synthetic polyphenols compound 3 mg/kg Biomass Weight of koi fish, treatment A=75 mg/kg BW, B= 100mg/kg BW, C= 125 mg/kg BW.After being injected, starting 72 hours the koi fish blood plasma was taken to see the effect of stress on koi fish by looking at blood glucose parameters.The results of blood glucose parameters were getting higher (from 83,33 mg/dl to 132,33 mg/dl) when exposed to polyphenol fractions.Clinical symptoms after being injected with the polyphenolic fraction of A. vera caused the fish to swim abnormally, with red spots, pale, and hemorrhages.
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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".