The Potentiality of Textile Sludge to be Used as Organic Manure
Bibliographic record
Abstract
Textile Industries of Bangladesh confront the environment a huge threat. It produces a huge amount of sludge from effluent treatment plants that is a burden for industries for its high volume and proper treatment cost thereby a huge threat to the environment. The present study aims to characterize the solid sludge of textile industry in terms of pH, organic matter (OM), nutrient elements (N, P, K) and other metal elements through proper analytical methods. The average pH value of the sludge sample was 8.28 along with moisture content 60.64%. The average content of the OM of the studied sludge samples was 11.73% and the average values of N, P and K were 7.57%, 0.52% and 0.50%, respectively. The studied metal (Cr, Zn Mn, Cd, Pb, As and Cu) content of the sludge revealed that the toxic heavy metals Pb, Cd and As were not found in the samples. This study reveals that the amount of OM, N, P and pH is within the Waste concern compost standard (WCCS). The findings clearly show a potentiality of textile sludge as organic manure as they are rich in OM and plant nutrients and free from toxic heavy metals as well.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".