ИСПОЛЬЗОВАНИЕ ПРИНЦИПОВ КАСКАДНОГО ОБМЕНА ДАВЛЕНИЕМ В РАБОЧЕМ ЦИКЛЕ ГАЗОВЫХ ХОЛОДИЛЬНЫХ МАШИН
Bibliographic record
Abstract
Now the development of cryogenic techniques of separation, clearing and a liquefaction of oil and natural gases, extraction of hydrocarbons from dumps, mine and biological gases, alongside with globalization of manufacture of food stuffs, integration of the markets of animal industries and seafoods generate growing necessity of powerful installations of soft cooling. In this connection the interest to use the air refrigerating machineries having a great potential of soft cooling with not use of low-boiling working bodies, prohibited to use by the decision of the Montreal meeting is restored. In the article the opportunity of efficiency heightening of air refrigerating machineries by use of a cascade exchanger of pressure as detander-compressor, and also the basic aggregate of compression is considered. Basic schemes of air refrigerating machineries with a cascade exchanger of pressure are considered, and parameters of the designed installations for a soft deep-freezer of long storage of foodstuff and air conditionings are resulted.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.009 |
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".