Decontamination of water polluted with oil through the use of tanned solid wastes
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
Sorption by natural organic substrates, inorganic materials or synthetic fibers is one of the most popular methods used for the separation of oily wastes from contaminated water. In this work, the ability of chrome shavings (CS) and of buffing dusts of crust leather (BDCL) to remove motor oils and oily wastes from demineralised water and natural seawater has been studied. Tannery solid wastes are formed mainly by proteins and have a highly organized structure in the form of fibers (ΦΦ: 100 nm). These wastes have a high oil sorption capacity. Tanned solid wastes are capable of absorbing many times their weight in oil (6.5–7.6 and 12.8–14.5 g/g dry substrate, respectively, for ground CS and BDCL). The sorption capacity depends strongly of sorbent nature. The removal of oils from the water surface is a quasi-instantaneous process. After use, the saturated waste floats and can be removed in an efficient and easy manner. The results look fairly promising as to possibilities of using tanned wastes to remove oils from industrial effluents and from contaminated coastal areas.
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 | 0.000 | 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 | 0.001 |
| 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 it