Sulfur Nanoparticles Improves Root and Shoot Growth of Tomato
Bibliographic record
Abstract
The objective of this research work is to synthesize sulfur nanoparticles by green route and to investigate the beneficial effect on root and shoot growth of tomato. Sulfur nanoparticles (SNPs) synthesized using aqueous extract of Ailanthus altissima leaves at room temperature. Scanning electron microscopy (SEM) and X-ray diffraction (XRD) inspections indicated that nanoparticles are spherical and polydispersed with diameters ranging between 5 and 80 nm. The potential of sulfur nanoparticles for enhancing tomato’s growth, increasing the concentration of sulfur nanoparticles from 100 ppm to 300 ppm cause an increase in root and shoot lengths, while higher concentration 400 ppm and 600 ppm induced an inhibitory effect. Results of this study reveal that SNPs have the potential to enhance root and shoot growth of tomato and the effect is concentration dependent.
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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".