45 Opportunity with functional role of supplemental amino acids
Bibliographic record
Abstract
Abstract The technological advancement in production of crystalline amino acids has driven the cost of crystalline amino acids down significantly and facilitated the wide use of crystalline amino acids in food animal production. The primary reason of use of crystalline amino acids in am animal’s diet is to provide dietary essential nutrients for protein synthesis and to balance the diet and reduce dietary cost. Extensive researches with amino acids have greatly enabled such use. As a result, most swine diets today are formulated with 3 or 4 supplemental amino acids. However, the economical return on including beyond 4 supplemental amino acids becomes low and thus discourages the use of more than 4 supplemental amino acids for dietary saving purpose. The use of the functional role of amino acids might bear the new opportunity for amino acids. Tryptophan has unique physiological functions involving synthesize serotonin in the body. Increasing tryptophan intake is shown to elevate serotonin synthesis in the brain of pigs and reduce stress and improve performance of pigs under social stress. Research shows that methionine is used as a precursor of glutathione to protect intestinal mucosa from oxidative damages during weaning stress. Arginine, glutamine, and glutamate are shown to have functions in cell proliferation, potentially improving intestinal and immune function of nursery pigs and preventing loss of lean body mass in the sow. Leucine is a ketogenic amino acid. The carbon skeleton of leucine is converted to acetylCoA, which could be used for fatty acid synthesis in muscle tissue. Research showed that intramuscular fat was increased by feeding high dietary leucine levels. Overall, the different functions of individual AA beyond their roles as the building blocks for proteins give additional opportunities of amino acid application in animal production.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".