Redworm elimination in an integrated fixed-film activated sludge reactor
Bibliographic record
Abstract
Two pilot-scale biological nutrient removal bioreactors were operated side by side under selected flow rate conditions. One reactor was operated under an integrated fixed-film activated sludge (IFAS) reactor configuration, and the second reactor was operated under a conventional activated sludge reactor configuration. The relatively high dissolved oxygen (DO) and low food-to-microorganism ratio created a favourable environment for the proliferation of redworm identified as Aeolosoma hemprichi in the IFAS reactor from day 116, which led to significant deterioration on ammonia removal in the IFAS reactor. The removal efficiencies of chemical oxygen demand (COD) and phosphorus were not significantly affected by the redworm bloom. Several strategies were applied to eliminate the redworms from the IFAS reactor. The most effective strategy was shutting off the DO supply in the aerobic zone and stopping the influent feed for 48 h. Finally, it took about 1·5 months for the IFAS reactor to recover from performing the worm elimination strategy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".