Review on MBR Technologies for Emerging Pollutant Removal from Wastewater and Their Associated Antifouling Strategies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It was necessary to reclaim water from wastewater to tackle water scarcity issues. However, it was difficult to treat waste-water for resue purpose through conventinal treatment technologies due to the wastewater contains various emerging contaminants. Membrane bioreactors (MBRs) were promising techniques to reclaim wastewater, which hybrid activity sludge and membrane technol- ogies. Although it was a challenge to eliminate the emerging contaminants efficiently through conventional MBRs due to specific chem- ical structures of these chemicals, more and more novel hybrid MBRs were applied to the removal of emerging contaminants. The evo- lution of MBR systems for treating emerging pollutants was summarized in this review. In addition, the process of biofouling on mem- branes and the development of relevant antifouling technologies were investigated. Besides, the perspectives of MBR systems on the ap- plication of emerging pollutant treatment were provided, which would help support the research and development of technologies in the field of water reclaiming in the future.
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.
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 | 0.001 | 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 | 0.001 |
| 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