Pharmacognostical, physiochemical and phytochemical comparative study of the constituent of an antidiabetic polyherbal formulation
Bibliographic record
Abstract
Multifactorial metabolic diseases develop several complications like hyperlipidemia, hepatic toxicity, immunodeficiency etc., Hence, instead of mono-drug therapy the management of the disease requires the combination of herbs. In the present study the investigation carried out on the pharmacognostical, phytochemical and physiochemical aspects of the leaf part of the plants. Polyherbal formulation of aqueous extracts of Azadirachta indica , Camellia sinensis and ethanol extract asparagus racemosus F1 (N: G: S=2:2:1) 200 mg/kg2:2:1, named F1, (N:G:S=2:1:2) 200 mg/kg2:1:2, named F2, (N:G:S=2:1:1) 200 mg/kg2:1:1, named F3. These Plants are boon to us from the nature as it claims its potentiality as a wide range of herb. The comparative Morphological studies of leaves showed the presence of various diagnostic characters. Ash value, extractive value and moisture content were determined for quality standard of drugs. During the course of the experimental work the leave part showed the presence of various phytoconstituents like flavonoids, tannins, protein, sterol etc.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".