Bibliographic record
Abstract
Solvent-base paint industries moreover to hazardous solid wastes, volatile organic compounds and air emissions produce significant amount of wastewater containing organic solvents which are classified as hazardous wastes due to toxicity, ignitability or both. These wastes have adverse impacts on human health and natural ecosystems and the cost of its treatment and safe disposal is high. Implementing of waste minimization plans is the only solution which minimizes waste generation and environment pollution meanwhile reduces both environmental pollutants treatment costs and surcharges of disobeying environmental requirements. The aim of this paper was study of waste minimization methods and techniques in solvent-base paint industries. According this aim, type of wastes, its sources and waste minimization options in the plants were studied. Researches done in this study showed that the relative ease of wastewater solvent recycling and the high thermal content of organic solvent wastes suggests different waste minimization options such as: source reduction, recovery, recycle and reuse. Successful implementation of the plan depends on patronage and commitment of plant manager, responsibility and active partnership of all of personnel in accomplishing to waste minimization goals. Keywords: Paint, Recycle , Reuse, Source reduction.
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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 | 0.001 |
| 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".