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Estimation of Efficiency of Use of Dairy Products Enriched with Enter Sorbent Dietary Fibers on Immunophysiological Indicators of the Rat Organism

2020· article· en· W3024502102 on OpenAlexvenueno aff
N. Ablaikhanova, Zura Yessimsiitova, Ulpan Amzeyeva, Azamat Mukhitdinov, S. A. Mankibaeva, A. N. Zorbekova, С. Н. Абдрешов, А С Кожамжарова, Aizhan Konysbayeva, Sultan Tuleukhanov

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2020
Typearticle
Languageen
FieldMedicine
TopicPhytochemical and Pharmacological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOrganismAntioxidantFood scienceHuskChemistryAntioxidant capacitySorbentUreaBiologyBiochemistryBotany

Abstract

fetched live from OpenAlex

At all times, the problem of healthy and wholesome food has been one of the most important problems facing human society. This problem cannot be solved by simply increasing the amount of food consumed. Plant-based antioxidants are widely used for the prevention and treatment of diseases with the aim of eliminating free radicals from the body and restoring the body's antioxidant defense system. The article shows biochemical indicators that reflect the nature of changes in the early stages of the formation of response of the animal organism during toxic poisoning and the use of sour-milk products using enter sorbent dietary fiber from rice husk. With an increase in the dosage and frequency of CCl4 administration, the effect of deep poisoning and impaired lymph dynamics was obtained. Along with a decrease in the content of total protein and urea in lymph and blood plasma, an increase in ALT and AST levels in blood plasma by 2.5–3 times, as well as an increase in thymol test, were noted. Antioxidant defense mechanisms are universal in order to increase the body's vitality.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.072
GPT teacher head0.327
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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