Malaysian Isolates of Lactic Acid Bacteria with Antibacterial Activity against Gram-Positive and Gram-Negative Pathogenic Bacteria
Bibliographic record
Abstract
Contamination of foodstuff with foodborne and pathogenic bacteria are global issue and it is serious hazard for the health of the human. Lactic acid bacteria are well known for their health properties and their antimicrobial activity against spoilage and pathogenic bacteria. In this study, three isolates Lactobacillus fermentum Te007, Pediococcus pentosaceus Te010, L. pentosus G004 isolated from Malaysian fermented foods and fruits such as (tempeh, tempoyak, guava and banana) were evaluated for their antibacterial activity and antibiotic resistant against Gram-positive and Gram-negative bacteria by dual agar overlay method. The three isolates inhibited the growth of indicator bacteria and the activity was varied between weak and strong. All the isolates were resistant to the antibiotic nalidixic acid and vancomycin. The tested bacteria can be added to food as antibacterial agents to prevent the growth of harmful microorganisms.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".