Evaluation of the Antibacterial and Wound Healing Activity of Quercus persica
Bibliographic record
Abstract
Quercus persica is one of the four species oak that growing in the zagrossian region in Iran. This plant contains different components of therapeutic value. In this investigation, antibacterial and wound healing effects of methanolic extract of fruits of Quercus persica has been studied. Milled oak fruit that their hull was separated, was extracted with methanol in Soxhleťs apparatus .The effect of extract in three concentration (25,50,75mg/ml) were tested using agar diffusion method on Staphylococcus aureus ATCC 25923, Staphylococcus epidermidis RTCC 1898 and Escherichia coli O157:H7 and in form topical administration on excision wound in rats.Results showed that all of concentrations were effective on inhibition of bacteria, but this effect with 50 and 75 mg/ml concentration of extract was significant for bacteria. Also in comparison with tested antibiotics, the effect of 75 mg/ml concentration of extract was similar or higher than them. Also in the extract-treated wounds indicated that epithelialize faster, and the rate of wound contraction was significantly increased in comparison to control wounds. This results suggest that Quercus persica possesses compounds with antibacterial and wound healing properties
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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 | 0.000 |
| 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) | 0.001 | 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".