Toxicological and Histopathological Effects of Cheese Wood, <i>Alstonia boonei</i> De Wild Stem Bark Powder used as Cowpea Protectant against Cowpea Bruchid, <i>Callosobruchus maculatus</i> (Fab.) [Coleoptera: Chrysomelidae] on Albino Rats.
Bibliographic record
Abstract
Toxicological and histopathological effects of Alstonia boonei stem bark powder on albino rats liver and kidney functions were investigated using standard methods. After two weeks of acclimatization, the rats were randomly divided into four (I - IV) groups of six animals each. Group I was fed with Basal diet, group II - IV were for 30 days with basal diet containing 1%, 4% and 10% A. boonei stem bark powder, respectively. Blood was rapidly collected by direct heart puncture and the plasma aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), total protein, urea and creatinine contents were determined using commercially-available kits. The levels of these biochemical functions were also determined in the liver and kidney. The A. boonei stem bark powder at 10% concentration caused oxidative liver and kidney damages. Histopathological results of the liver shows that the group fed with 4% A. boonei stem bark powder had normal hepatocytes. The group fed with 10% A. boonei stem bark powder had necrosis. The results of the present study showed that the supplementation of 1% and 4% A. boonei stem bark powder to the diets of rats for 30 days did not change the biochemical parameters of liver and kidney as well as histopathological investigation which illustrated normal architecture of liver and kidney.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".