The Effect of Cigarette Smoke Exposure with Bidara (Sidr) Leaf Powder Biofilter on Glucose Levels and Pancreas Histology in Mice Diabetes Mellitus
Bibliographic record
Abstract
Cigarette smoke free radicals are chemical compounds that are harmful to the health of the body. Diabetics have high levels of oxidative stress due to excess free radicals and lack of antioxidants, so antioxidants are needed to stabilize free radicals in the body. The results of previous studies showed that 0.9 gram bidara (Sidr) leaf powder biofilter was able to capture free radicals in cigarette smoke. The purpose of this study was to examine the effect of exposure to cigarette smoke with a biofilter of bidara leaf powder on blood glucose levels and pancreatic histology in diabetic mice. The sample in this study used five treatment groups, previously induced with streptozotocin to become diabetic. Exposure to cigarette smoke was carried out for 3 weeks, every week checking blood sugar. After that the mice were dissected to observe the histology of the pancreas. Statistical results using One way ANOVA showed that there was an effect of exposure to cigarette smoke with a biofilter made from bidara leaf powder on blood glucose levels and pancreatic histology in diabetic mice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".