The Influence of Sludge on the Lolium Antioxidant Enzymes Activity and Malondialdehyde Content
Bibliographic record
Abstract
Using the soil of abandoned lead-zinc tailings and heavy metal enrichment plants (Lolium) as materials, through the outdoor pot experiment, study the influence of sludge on antioxidant enzymes (CAT, SOD and POD) activity and malondialdehyde (MDA) content. The results showed that: CAT activity increased with the increase of sludge concentration, increased first and then decreased, at concentration (278g/kg) to reach the highest: aerial parts 4.224 [u/(gFW.min)], roots1.532 [u/(gFW.min)]; SOD and POD activity increased with increasing sludge concentration trends, high concentrations (417g/kg) reached the highest, concentration of aerial parts and root SOD were 0.2134 [W/(h.gFW)] and 0.1376 [W/(h.gFW)]. Aerial parts of Lolium MDA content increased with sludge concentration increased, while roots was manifested in the opposite trend.The study showed that high concentrations (417g/kg) sludge can significantly improve antioxidant enzyme activities of Lolium, reduce cell damage and increase their resistance to lead-zinc stress.
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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) | 0.000 | 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".