Endogenous Losses of Chemical Elements in the Digestive Tract and Their Correction
Bibliographic record
Abstract
At present, the reduction of endogenous losses in the body of farm animals is considered as one of the ways toincrease the efficiency of livestock production. Existing methods of reducing the endogenous losses implyfeeding of animal with phytase, changing diet, etc.The aim of our research was to study possible reduction of endogenous losses using the Bifidobacterium longumpreparation. Two series of experimental studies were performed on a model of Wistar rats.In the first experiment we had tested the methodology and estimated the size and composition of endogenouslosses. The selected method made it possible to form a flow of irretrievably lost endogenous chemical elements(Co, Cr, Cu, Fe, etc.) from the body of animals. These elements comprised up to 80% of the pool. The used dietprovided the most significant decrease in the pool of microelements: chromium by 72.4 %, iron by 72.1%, cobaltby 64.7%.In the II experiment losses of chemical elements decreased selectively under the influence of Bifidobacteriumlongum. Feeding animals with bifidobacteria made it possible to reduce the loss of calcium by 3.9%, phosphorusby 17.6%, copper by 28%, zinc by 15.2%. Moreover, the pool of lead in the body increased by 16.1%. Theinclusion of Bifidobacterium in the diet of animals maintains the strength of cortical bones and increasesphosphorus content in the bones of the experimental animals by 19.4%. Works on the selection ofmicroorganisms’ strains decreasing endogenous losses of minerals are promising during the development of newprobiotic preparations.
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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 | 0.000 |
| 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) | 0.000 | 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".