Effects of sugarcane extract on growth and diarrhea of growing piglets
Bibliographic record
Abstract
This experiment evaluated the effects of sugarcane extract (SCE) on growing pigs' diarrhea incidence, serum immunity, intestinal morphology, and antioxidant enzyme activity. A total of 116 52-day-old commercial pigs (Duroc × Landrace × Jiaxing Black, average weight of 11 ± 1 kg) were randomly allocated to control (CON, basal diet) and 1% SCE group (SCEG, basal diet + 1% SCE). The experiment lasted four weeks. Compared with CON, diarrhea incidence (SCEG: 74.11% versus CON: 54.76%) and diarrhea index (SCEG: 83.65% versus CON: 73.61%) dropped largely in pigs supplemented with SCE. Villus height in the duodenum ( p < 0.01) and the ratio of villus height to crypt depth ( p < 0.05) increased in SCEG. Dietary SCE enhanced the activity of catalase (CAT) capacity, and decreased tumor necrosis factor α, and malondialdehyde levels in serum ( p < 0.05). CAT activity in the ileum increased ( p < 0.05) in piglets supplemented with SCE. Thus, dietary supplementation with SCE improved diarrhea incidence, serum antioxidant capacity and immunity, and intestinal villus morphology and may be used as an efficient antibiotic alternative in weaned piglet feed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".