Use of an air-coupled ultrasound technique to assess the mechanical properties of white salted noodle dough and its potential capability in prediction of cooked noodle texture
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
In this study, an innovative technique—air-coupled ultrasound—was used to measure the mechanical properties of white salted noodles, in a fast, non-destructive, non-contact way. The ultrasound technique was sensitive to the changes brought about by dough moisture content, work input (either from the mixing or sheeting process), as well as the changes in noodle properties with time. In addition, the cooked noodle texture was assessed by conventional methods: an instrumental method and a trained sensory panel. Noodles were less firm with increased water content, and with prolonged storage time (24 hours). Noodles made with CWRW (Canada Western Red Winter) flour had a comparable firmness as noodles made from high protein content flour (Canada Western Red Spring). Overall, the cooked noodle texture was highly correlated with the dough properties measured with the ultrasound technique. Therefore, this research suggests that air-coupled ultrasound has a promising capability for the prediction of noodle quality.
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.
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 | 0.000 | 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) | 0.000 | 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