Application of a Maturity-accelerating Reagent (MAR) to Food Wastes Composting Processes
Bibliographic record
Abstract
In order to increase the degradation rate of organic materials and reduce ammonia emissions simultaneously during the aerobic composting period, a commercial maturity-accelerating reagent (MAR) was employed. Comparative composting experiments were conducted: Run A with the addition of MAR in the composting mixture, and Run B without the addition of MAR, while some parameters such as organic carbon, ammonia, and pH were measured under controlled air flow rate in the composting process. After 26 days of composting, the experimental results revealed that the degradation rate in Run A (21 g kg -1 d -1 DM (dry mass)) was higher than that in Run B (18 g kg -1 d -1 DM) by 16.7 %, while ammoniacal N (NH 3 and NH 4 + ) retained in Run A was 13.6 g kg -1 DM, which was more than that in Run B (8.3 g kg -1 DM), possibly because struvite crystal was formed. Apparently, the application of MAR had a positive effect on composting wastes, not only promoting organic degradation and nitrogen conversion, but also improving the quality of the compost, to be used as soil amendment in agriculture.
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".