Վիրավորների օրգանիզմի հարմարվողական պրոցեսների ռեակտիվության նվազման դերը թոքաբորբերի զարգացման գործում / The role of reducing reactivity of adaptive processes in the body of the wounded in the development of pneumonias
Bibliographic record
Abstract
Pulmonary and pleural diseases are the most common complications of wounds and injuries. The probability of occurrence of pneumonia and the changes of some clinical, biochemical and hormonal indicators among the military, aged 18-25, have been analyzed in this article from the viewpoint of assessing the immune resistance of the body. Studies have shown that in case of the development of pneumonia of varied severity, similar changes in the hormonal composition of the blood can be detected: a relative increase in the levels of prolactin, a relative decrease in the levels of testosterone and a decrease in the levels of cortisol. Taking into account the paradoxical reaction of the endocrine glands revealed through this research, it can be concluded that among the examined patients, in conditions of unusual, overextended physical activity of the body, the influence of almost constant stress factors during the military service led to the exhaustion of adaptive resources. As a result, when wounded, the body was not ready for an adequate immune response, which also contributed to the development of pneumonia.
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 | 0.000 | 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) | 0.001 | 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".