Investigation of Bio-Physical and Chemical Characteristics of Wild Rose (Rosa brununii Lindl.) in Murree District, Pakistan
Bibliographic record
Abstract
The present study was conducted to evaluate the vitamin C estimation, phytochemical screenings, antioxidant activity, and antimicrobial assay of the wild rose (Rosa brununii Lindl.). Rose hips of this wild plant were collected from five different locations in Murree hills (Bhurbhan, Lower Topa, Ghoragali, Kotli Sattiyan, and Danoi). The concentration of Vitamin C was found in the range of 2000-2500 mg/100g. The phytochemical screening showed the presence of total flavonoid compounds in the range of 2.44-5.76mg/100g and the total phenolic contents were found in the range of 0.18 1.60mg/100g. Results showed that the subject plant exhibited no significant antifungal activity. Rosa brununii were screened for insecticidal activity against T. castaneum, R. dominica, and C. analis. And no activity against any of the test insects indicating that this genus has no insecticidal potential. Lemna minor L plant was used to detect the phytotoxic activity and results showed that at the concentration of 1000 and 100 µg/ml, the oils showed moderate activity of 50 and 40% respectively. At the concentration of 10 µg/ml, the sample showed low activity of 25%. Brine shrimp (Artemia salina) lethality bioassay was used to check the cytotoxic effect of R. brununii Lindl. and results revealed very low toxic effects of cytotoxicity.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".