Indian traditional plants: medicinal properties and Human health
Bibliographic record
Abstract
India is the indigenous country of traditional plant those have various medicinal activity to prevent different diseases. Indian traditional plant plays a conventional role to nourish human health. Medicinal plants contain bioactive components which functioned as secondary metabolites. These metabolites prevent many kinds of disorders without causing any side effects. Numerous pharmacological properties of medicinal plants (Tulsi, Neem, Bay leaves, Nishinda, Nayantara, Kalmegh, Mint etc.) have discussed in this review. They contain phytochemical components such as flavonoid, phenolics, phenylpropanoid, terpenoid, fatty acid, tannin, azadirachtine, azadirone, nimbin, nimbidin, menthone, pulegone, menthofuran, azulene. Due to presence of these bioactive compounds, it possesses pharmacological, therapeutic, pharmaceutical functions like antimicrobial, anti-obesity, anti-infective, antidiabetic, antileukemic, antiulcer, anticancer, antiallergic, antioxidant properties. The object of this review is aimed to elaborate the scientific discussion about phytoconstituent and pharmacological functions of these traditional medicinal plant.
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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 | 0.003 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".