Investigate the Effect of Nd-Yag Laser Beam on Soybean (Glycin max) Leaves at the Protein Level
Bibliographic record
Abstract
The effect of pre-sowing laser treatment on soybean seeds was investigated, using neodymium-doped yttriumaluminium garnet (Nd-Yag) laser source at wave length lamda= 532nm. Soybean uniform seeds (Glycin max L. cv.Giza 111) were exposed to laser irradiation for 5, 10, 30, 60 and 120 minutes. The growth potential of 4 - weekoldseedlings was progressively enhanced with the increase in time durations of laser treatment. In this study,protein banding patterns of the leaf pools of the irradiated and non-irradiated control plants were investigated toelucidate the role of laser at the molecular level. These patterns showed proportional increased levels of a ~ 55KD protein in alliance with the pre - sowing exposure time to laser irradiation. This protein was gel eluted andidentified using de novo protein sequencing analysis of Liquid Chromatography - Mass Spectrometry andTandem Mass Spectrometry (LC/ MS/MS) technique. The database search of the results led to identification ofthis protein as the large subunit of the enzyme 1,5 ribulose bisphosphate carboxylase/ oxygenase (RubisCO). Theconcomitantly enhanced growth potential of soybean seedlings with the elevation of the level of RubisCO willbe discussed from different points of views.
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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".