Removal of Natural Dyes from Tie Dye Effluent by Coagulation Process
Bibliographic record
Abstract
The aim of this research was to find the efficiency ways to treat wastewater from dye tie dye technique by using an effective wastewater treatment system and find out how to implant the technology of the waste water treatment system to help the problems of the community activities which the tie-dye fabric were the major product of their area. The wastewater from the tie-dye industry were collected and were treated with physical, chemistry and biological treatment by using local materials such as sea shell, alum and clay in a laboratory scale. The data from the treatment were used in the designing the small scale water treatment and apply to the study area. Moreover, the treatment technique knowledge will transfer to the community and establish guidelines for community Wastewater treatment. The COD of wastewater from the dying materials of Bark of Xylocarpus granatum, Bark of Sea almond and Bark of Ebony tree seed were 479.2, 428.5, and 564.2 mg/l, respectively. The water quality were improved better up to 83.61% after were treated with the treatment technique. The satisfaction of the community that participate in the training, technology transfer and adoption of guidelines for therapists to use in the community were found that 86 percent had gained the knowledge in wastewater treatment, 95 percent were satisfied and 85 percent of knowledge were benefit to the community, respectively.
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How this classification was reachedexpand
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) | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".