Characterization of the Midgut Bacterial Isolate of <i>Culex quinquefasciatus</i> and Its Control by Plant Extracts
Bibliographic record
Abstract
In the present study, the midgut bacteria of Culex quinquefasciatus was isolated, characterized and controlled by plant extracts. Morphology of the bacterial colony was studied. The vegetative body of the bacterial isolate was scanned in scanning electron microscope. Biochemical tests and fermentation tests of different carbohydrate sources were performed. The physiological tests such as temperature, NaCl and pH tolerance ability of the midgut isolate of Cx. quinquefasciatus was determined. The antibiotic sensitivity of the bacterial isolate against some standard antibiotics was observed. Agar cup assay was performed to determine the sensitivity of the isolate against some plant extracts such as Neem ( Azadirachta indica ), citronella ( Cymbopogon nardus ) and Basak ( Justicia adhatoda ). From the morphological, biochemical and physiological characteristics, the midgut bacterium CMG1 was characterized as Bacillus sp. the isolate CMG1 showed sensitivity to Neem ( Azadirachta indica ) and citronella ( Cymbopogon nardus ) plant extracts. The application of neem and citronella (25 μl/well) produced 32 and 45 mm inhibition zone of the midgut bacterial isolate CMG1.
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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) | 0.001 | 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".