Botanical Based Safe and Nontoxic Mosquito Impregnated Gel
Bibliographic record
Abstract
Mosquito problem is the major problem in our country. There are many pesticide formulated products available in the market to compete the mosquito generating problems. The major drawback of these products is that they are not safe for human beings so, there is urgent requirement of safe and effective formulation. The aim of this study is to develop an effective, safe, and slow release formulation against mosquito control. In the present study, neemmicroemulsion was converted into microemulsion gel by using polymeric gel matrix Carbopol-934. Microemulsion formulation is the thermodynamically stabilized formulation and globular size is in nano range. These characteristic features of microemulsion will remain same in the gel phase. Size and zeta potential of microemulsion gel are (400± 6) nm and -10.0 m V, respectively. Synersis, spreading coefficient value are in the range of stabilized gel formulation and suitable for impregnating mosquito net. Neemmicroemulsion based gel impregnated net gives 90% repellency against mosquitoes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".