THE ACID-BASE CHANGES IN HIGHLY QUALIFIED ORIENTER SPORTSMEN UNDER THE INFLUENCE OF GLUCOSE ELECTROLYTE DRINK WITH THE PLANT EXTRACTS ADDITION
Bibliographic record
Abstract
In real conditions of high-intensity training and competitive load of athletes, the most important for sports success is the preservation of energy metabolism indicators, and, in particular, the acid-base balance in the range of homeostatic normal values. One of the possible ways to maintain the acid-base balance of an athlete is the use of homeostatic electrolyte drinks, which can have a fairly rapid effect. In this regard, for our work we have identified the following goal of the study: to analyze the possibility of using the functional drink "Aluston" (FDA) produced by JSC "Alushta Essential Oil Plant" to maintain the acid-base balance of athletes and a possible increase in performance, training duration, resistance of athletes to long-term physical activity of high intensity. Methods: Stepwise loading protocol was used on a Kettler bicycle ergometer (Hmbq, Germany). Capillary blood sampling from athletes was carried out at rest before the start of the load and immediately after it was completed using an Epoc capillary (Epocal Inc., Canada). Biochemical parameters of blood like pH, concentration of CO2 and O2, [Na+], [К+], [Сa2+], [Cl–], [HCO3–], Lactate, Glucose, Crea, Hct, Hb, BE(ecf), BE(b ) were recorded by the Epocreader and Epochost analyzers (Epocal Inc., Canada). It was shown that FDA contributes to the stabilization of anion gaps, reduces the severity of the shift of the standard (BE-ecf) and true (BE-b) excess bases into the negative range, which can be regarded as a more pronounced preservation of the “strength” of blood buffer systems, and contributed to a decrease in tension in the pair acidosis-alkalosis. In addition, FDA supplementation likely shifts the phase of creatine fermentation to later loading stages. The last experimental fact requires further research, and also, modification changes in the composition, concentration ratio of active components in the “Aluston” drink remain relevant.
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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) | 0.000 | 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) | 0.002 | 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 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".