Динамика белкового обмена у откормочных свинок при разном уровне кормления
Bibliographic record
Abstract
The experiment was conducted in the complex analytical laboratory of the Orenburg State Agrarian University in 2014. The generally accepted methods were used in the studies. The object of the studies was 26 Iorkshire Landrace hybrid sows of the first generation, Canadian selection, grown in the LLC «Orenburgsky Bekon». The dynamics of protein metabolism in sows at the final stage of fattening fed on diets maintaining the increased protein level has been studied. The 115 days-old animals were included in the experiment. The animals of one of the experimental groups were fed on diets for growers, the protein content of which was at 8.2 % higher than the standard norm. Other animals were kept on the final ration (with a lower content of digestible protein). The content of total protein, albumins, fractional content of globulins, ACT and ALT activity as well as the concentration of creatinin, urea and uric acid in blood serum in animals of 122-, 136and 145-days old experimental sows have been determined. The results obtained were subjected to mathematical treatment and statistical analysis. Besides, the arithmetic mean and its error, as well as the accuracy between indices of animals of different age and the probability level were determined. It is found that the maintenance of the level of protein nutrition at the final stage of fattening, per one trial, resulted in lower content of total protein, increased content of creatinin in blood serum and in higher ACT activity. Feeding sows on rations with lower protein content in the final fattening stage resulted in increase of the content of total protein and urea in blood serum, in higher ALT activity, in lower level of creatinine and ACT activity, though the levels of albumin, creatinine and ACT activity decreased. The results of studies confirmed the feasibility of feeding swine on rations with lower protein content at the stage of fattening.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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".