Contribution of Lignin and Non-Lignin Dependent Responses in Protein Fraction-Interacted Plant Tissue
Bibliographic record
Abstract
In a basic investigation, considering sunflower (Helianthus annuus) a highly lignified seed plant in contrast to fern (Nephrolepsis exaltata) as pteridophyte, the leaf tissues of Nephrolepsis were allowed to be interacted with the (NH4)2 SO4 protein fractions of Helianthus leaves. The results showed that the (NH4)2 SO4 60-100% fraction is able to increase the activities of phenylpropanoid/polyphenolic pathway enzymes including phenylalanine ammonia lyase (PAL), polyphone oxidase (PPO) and peroxidase (POD) in leaf tissues of Nephrolepsis. Comparing changed percentage in lignin contents, antioxidative abilities, total flavonoids and carotenoids content with the changes in the enzymes activities different contributions of lignin and non-lignin dependent responses in the interacted tissues were observed. For the first ever time report, the present findings not only quantify the approximate dividend of the lignin and non-lignin dependent routs in phenylpropanoid pathway but also may state the question: whether a signaling element is present in the protein fraction of sunflower leaves?
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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".