Об исследовании возможности создания инерциальных модулей на основе отечественных технологий объемной микромеханики
Bibliographic record
Abstract
The objective of classical treatments of cardiac failure (diuretics, digitalis) was to relieve patients' symptoms. Vasodilators and ACE inhibitors also improve morbidity and mortality. The introduction of the latter class of drugs for cardiac failure will, however, lead to a significant increase in the cost of medication at national level. These costs may increase even further in theory due to a predictable increase in the number of patients with cardiac failure (ageing of the general population, improved survival of cardiac patients) and due to the extension of prescription of these drugs to populations of subjects with cardiac failure hitherto relatively undertreated. On the other hand, economies may be realised in the management of cardiac failure related to fewer and shorter hospital admissions and reduced indirect costs or to the suppression of previous, less useful drugs (calcium antagonists, digitalis). Cost-effective analyses with ACE inhibitors carried out in different countries (Canada, netherlands) tend to show that the costs induced by prescription of these drugs are more than compensated by the economies realised by the reduction in hospital admissions. This is even more marked in the treatment of patients with severe cardiac failure. In subjects at low risk, the prescription of ACE inhibitors would not seem to be justified from both the clinical and economic points of view. It is up to each physician to decide the threshold of basic risk below which this treatment becomes "economically" acceptable.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.013 |
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; both teacher heads agree on what is shown here.
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".