Bibliographic record
Abstract
The participants of trans-ski transition «Russia North pole Canada» on the drifting ice during the polar day were examined. The group included 13 people: 9 Russian, and 4 Canadian sportsmen. The transition took place in an autonomous mode. Length of the rout was 1734 km. Average load about 40 kg/person. The results showed that physical activity in the Arctic leads to increased production and content of glucocorticoids and catecholamines in the blood in normal or reduced content of insulin. This determines the shift of carbohydrate type of energy metabolism on the lipid type. The content of triglycerides, total cholesterol and VLDL fractions in the blood was decreased. The shift of lipoprotein spectrum in the direction of increasing HDL was observed. Enhanced lipid metabolism increased the request for tissue O2 consumption. The structural changes in erythrocyte membranes associated with a decrease in content of tocopherol and increased contents of lipid peroxidation products (diene conjugates) and lizoform phospholipids, promoting the formation of protein-lipid crosslinks were revealed. Capillary viscosimetry showed an increase in the viscosity of erythrocyte membranes in the end of the path, which is probably due to the accumulation of above noted changes. It was shown in the experimental conditions that stress hormones (Cortisol) interact with erythrocytes, increasing the microviscosity of their membranes both in the field of lipid-lipid and protein-lipid interactions. It is suggested that in extreme Arctic conditions, these changes contribute to the development of tissue hypoxia and reduced physical performance.
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 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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".