PRODUCTION OF COST-EFFECTIVE ADSORBENTS FROM NATIVE MATERIALS
Bibliographic record
Abstract
The adsorption of methyl red by activated carbon produced from five native materials: Ram horn, plantain peels, Sugar cane chaff, Car tyre and Ram hair were studied invivo. Methyl orange was significantly adsorbed by all the activated carbons and the rate increased with time until equilibrium was reached after 24 h. The Freundlich’s adsorption parameters were determined to be 1.71 (plantain peel), 1.20 (car tyre), 1.14 (ram hair), 1.02 (sugar cane chaff) and 1.00 (ram horn). In this study, plantain peel has the highest adsorptive capacity while ram horn has the least. The order of adsorptive capacity is plantain peel>car tyre>ram hair>sugar cane chaff>ram horn. The use of these native materials as adsorbents will lead to cost efficiency and reduce operational cost.
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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 | 0.000 | 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) | 0.001 | 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".