Antimicrobial Activity of Arugula (Eruca Sativa) Leaves on Some Pathogenic Bacteria
Bibliographic record
Abstract
Arugula (Eruca sativa) is a green leafy vegetable; whose flowers, seed pods and seeds are edible. It’s packed with vital nutrients that can help you step up your health without spending too much money. This study aims to fight pathogenic bacteria whether they affect plants or humans by stopping their growth and work as antibiotics. In the present study, water extract of Arugula leaves was effective against Escherichia coli HAS 11 (19mm) and Staphylococcus aureus HAS 1 (12mm), but no activity was observed against Erwinia amylovora HAS 12 and Bacillus cereus HAS 2. In the case of ethyl acetate extract, no antimicrobial activity against tested microorganisms, Staphylococcus aureus HAS 1, Bacillus cereus HAS 2, Escherichia coli HAS 11 and Erwinia amylovora HAS 12 was seen.
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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 | 0.000 | 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) | 0.002 | 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".