Recycling and sustainable environmental practices of household tea waste
Bibliographic record
Abstract
Tea wastes contain a group of important organic substances disposed of in a considerable amount to the environment without any treatment after the preparation of tea. Generally, uncontrolled release of these wastes has increased environmental concern mainly to the aquatic environment in recent years. In this study, an experiment of tea waste green composites was outlined to provide more knowledge and findings in utilising the tea waste as reinforcement. The current experimental investigation focuses mainly on the mechanical and characterisation of poly (lactic acid) (PLA) filled with household tea wastes (TW) green composites. The morphology properties of PLA with tea waste composites were characterised using scanning electron microscopy (SEM) and X-ray diffraction (XRD) methods. The results show that the addition of tea waste improved the mechanical properties of the composite nevertheless the crystalline structure was reduced due to the presence of tea waste particles. The study findings highly recommended that tea wastes should be environmentally managed and recycled for better utilisation as an energy source or in other valuable application to reduce the impact on environmental pollution.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".