Strategies for Mitigating MBR Membrane Biofouling
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
Membrane biofouling is a roadblock to the application of membrane bioreactors (MBR) for wastewater treatment and reuse. Strategies for the mitigation of membrane biofouling have been extensively reviewed in this paper. The review was focused on feedwater pretreatment, modified membranes, suppression of the secretion and discharge of extracellular polymeric substances (EPSs) and soluble microbial products (SMPs), and novel MRB systems. The three identified novel strategies for mitigating membrane biofouling in an MBR for wastewater reclamation are lower EPS concentration by adding D-amino acids (D-AAs) and a cationic polymer flucculant; introducing a modified membrane in an MBR; and applying a novel algae-bacteria system. Experimental results have shown that membrane biofouling has been mitigated to some extent via these strategies.
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) | 0.002 | 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