Adsorption Dyes in Aqueous Solutions by Activated Carbon-Based White Wood
Bibliographic record
Abstract
Among the dyes, the blue disperse and reactive orange have well recognized toxicities and dissemination facilities in the different compartments of the environment. Various regulations set maximum permissible levels of these dyes in both drinking water and industrial discharges. In order to comply with these various standards, many depollution techniques have been developed in recent years. Our choice is to carry out the adsorption of activated carbon based wood because this adsorption has main advantages of being more effective and easy to implement. Furthermore, the use of less expensive non-conventional adsorbents guarantees its economic feasibility. However, this elimination is affected by several parameters related to the carbon atom, to the solution and the active suspension. The adsorption results for Disperse Blue and orange reactive with activated charcoal showed adsorption capacity up to 4.8 mg / g and 12.4 mg / g. The study showed that the adsorption of activated carbon prepared from wood is more effective for the removal of these two wastewater dyes.
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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".