Efficacy of Ethanol Extract from Leaves Of Malva parviflora to Inhibit Bacterial Biofilm Formation
Bibliographic record
Abstract
Infection due to bacterial biofilm represents a serious health threat worldwide mostly due to the appearance of antibiotic resistant strains. Treatment of bacterial biofilm infection is currently a difficult and complicated challenge for microbiologists and clinicians. Antibiotics treatment alone is often inadequate to overcome bacterial biofilm infection so the necessity of research for alternative to inhibit biofilm formation. The purpose of this study was to investigate the efficacy of leaves extract of Malva parviflora as antibiofilm against different pathogens .The plant extraction was done with ethanol under cold extraction. Antibiofilm effect was evaluated for Staphylococcus aureus, Klebsiella pneumonia and Escherichia coli using 96 wells technique. The results revealed that leaves extract of Malva parviflora had efficacy to eradicate bioflm formed from most of isolates.
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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".