Potential of protein and lipid productions from black soldier fly larvae fed with mixture of waste coconut endosperm and soybean curd residue
Bibliographic record
Abstract
The prime objective of this study was to simultaneously enhance the lipid and protein yields from black soldier fly larvae (BSFL) fed with mixture of waste coconut endosperm and soybean curd residue. The waste coconut endosperm that loss nutrient content during milk extraction was fortified to increase the nutritive value via self-fermentation process within 4 weeks before mixing it with soybean curd residue. The following six feed mixtures of waste coconut endosperm: soybean curd residue (C:S) were formulated: 5:0, 4:l, 3:2, 2:3, l:4 and 0:5. The results showed peak lipid content was attained from 3:2 feed mixtures. Using this feed mixture mediums, the BSFL prepupae could accumulate 58% and 2l% of its biomass weight with lipid and protein respectively. Tn considering of organic waste treatment, 3:2 feed mixture showed an efficiency of conversion of digested food (ECD) of 0.20l. Therefore, mix ratio of 3:2 was concluded as an optimum to produce ideal mixture feed medium for BSFL in enhancing the simultaneous lipid and protein yields.
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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".