Bibliographic record
Abstract
The phytochemical and antibacterial activities' study of the Punica granatum leaves, flower and stem bark extracts were carried out.The phytochemical content was carried out according to the standard operated procedures.The antibacterial activities were carried out by standard agar well diffusion method.The methanol extract showed the highest presence of phytochemical, followed by ethanol, water and acetone extract.While, leaves showed the highest presence of phytochemical as compared to flower and stem bark.The methanol leaves' extract showed maximum zone of inhibition 2101mm and 2001 mm against Enterococcus fecalis and Staphylococcus aureus respectively.The aqueous leaves extract showed 190.5 mm zone of inhibition against Enterococcus fecalis.Ethanol leaves' extract observed 2001 mm zone of inhibition against Escherichia coli.Generally, acetone leaves were found least zone of inhibition 090.4 mm against Pseudomonas aeruginosa.Maximum zone of inhibition 200.1 was noted against Escherichia coli by methanol flower extract and lowest zone of inhibition 070.4 mm was found by acetone flower extract against Pseudomonas aeruginosa.While stem bark acetone extract showed a low zone of inhibition 0200 mm against Enterococcus fecalis and maximum zone of inhibition 150.2 mm by methanol extract against Salmonella typhi in this regard.These findings propose that pomegranate parts' extract has a considerable capacity to prepare a new broad spectrum of antibiotic plant based formulations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.982 | 0.978 |
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; both teacher heads agree on what is shown here.
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".