The Impact of The Traditional Chinese Medical Additive on the Enteric Bacterium and Productive Trait of growing Pigs
Bibliographic record
Abstract
In this study,We used the traditional chinese medical additive which was made of Eucommia-leaf,hawthorn and the root of membranous milk vetch etc to feed growing pigs in order to find the impact on enteric germs and productive trait in weaning piglets.The results showed that in the three test groups,the Lactic acid bacteria (LAB)and Bifidobacterium were higher than the control group (P0.05),while the indexes of E.col and enteric coccus and diarrhoea ratio declined obviously.Compared with the control group,the average daily gain of the test groups was raised9.2%,5.5%,and13.32%,feedstuff reward was raised9.8%,6.64%,15.03%,in which the test groupⅢwas the best (P0.05).This study indicated that the traditional chinese medical additive could not promote the beneficial bacterium of weaning piglets proliferation but also improve the productive trait,whether it was powder preparation or extractor preparation.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| 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 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".