Aerobic granulation for wastewater bioremediation: A review
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Rapid industrialisation and urbanisation releases numerous toxic compounds into natural water bodies, polluting these pristine fresh water resources. This is a subject of great concern, and the attention of environmentalists around the world has been increased towards this problem in recent years. Several techniques have been proposed for efficient wastewater treatment, most of them presenting some limitations, such as poor capacity, the generation of waste products, incomplete mineralisation and a high operating cost. Currently, aerobic granulation treatments are considered to be the most effective and economic alternative. Aerobic granulation is a process of microbial self‐immobilisation that results into a cell‐structured shape, characterised by dense biomass. Aerobic granules have a number of advantages over conventional bioflocs, such as a round and compact structure, good settling ability, high biomass retention and the ability to withstand high organic loading rates. Aerobic granulation technology has been demonstrated to be useful for a wide variety of wastewaters, including industrial, nutrient‐rich and toxic. This paper presents a state‐of‐the‐art review of effective aerobic granulation technology for wastewater treatment selected from the point‐of‐view of basic concepts of aerobic granulation, characterisation and factors that affect aerobic granulation, demonstrating the effectiveness of the cell‐immobilisation (aerobic granulation) technique. © 2012 Canadian Society for Chemical Engineering
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it