Optimization of the quilting method and filling quality of cold-proof down clothing based on thermal insulation performance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This work investigates the thermal insulation performances of clothing based on down and a quilting method. The effect of several parameters was studied, including the amount of down, quilting number, and their geometry. An experimental study was combined with a geometrical model to confirm that a regular hexagonal geometry is the best to maximize the heat insulation properties. For the overall tiling, the best thermal resistance was obtained by using 8.67 g of down, and the thermal conductivity is the lowest when the filling was 5.14 g down. The heat resistance was also found to increase by decreasing the quilting number, but the effect is less significant as the number increases. Also, a lower amount of down in each quilting place resulted in higher heat loss. So, improving the filling down quality helped to increase heat retention. The correct space division and filling quality lead to improved warmth retention of cold protection down products.
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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 | 0.016 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 it