Ultrasonic freezing for solubilisation of sludge organic matter and enhanced conditioning
Bibliographic record
Abstract
Two new freezing treatment methods (partial ultrasonic freezing and combined ultrasonic freezing) were examined for their effectiveness on both solubilisation of organic matter and enhancement of sewage sludge conditioning. The treatment efficiency of the new freezing methods was compared with that of conventional freezing. The test results revealed that the capacity of the two new freezing methods on solubilisation of sludge organic matter was comparable to that of conventional freezing with three to five freezing and thawing cycles. About five to seven times increase in sample soluble chemical oxygen demand and soluble protein concentrations were observed after treatment using the three different freezing methods. Significant improvement in sludge conditioning was also achieved; more than 80% reduction in settled sludge volume was noted in the freezing-treated samples. Overall, all freezing techniques examined showed great potential as effective treatment methods that could not only enhance sludge conditioning but also solubilise organic matter.
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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 | 0.001 |
| 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".