Allelopathy Inhibitory Effects of Hydrodictyon reticulatum on Chlorella pyrenoidosa under Co-Culture and Liquor-Cultured Conditions
Bibliographic record
Abstract
Eutrophication has become increasingly serious in recent years, which severely impairs the aquatic ecosystem. Applying environmentally-friendly methods to effectively control the growth of algae and avoid eutrophication has been proved to be a promising way. Thus, the potential of Hydrodictyon reticulatum on eutrophication control was studied in this research. The allelopathy inhibitory effects of H. reticulatum on the growth of Chlorella pyrenoidosa were investigated under both co-culture and liquor-cultured conditions. The biomass and chlorophyll a content of C. pyrenoidosa were determined with time during the experimental period. Nitrogen and phosphorus removal capacities of H. reticulatum were also examined. Results showed that the growth of C. pyrenoidosa was obviously inhibited under both co-culture and liquor-cultured conditions, and the “Hormesis effect” was patently observed. The strength of allelopathy inhibitory effect depended on the relative biomass between H. reticulatum and C. pyrenoidosa. The allelopathy inhibitory effect of H. reticulatum on C. pyrenoidosa under co-culture condition was stronger than that under liquor-cultured condition. The decrease speeds of nitrogen and phosphorus concentrations were in direct proportion to the concentration of H. reticulatum.
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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) | 0.001 | 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 | 0.001 |
| 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".