3D architectured air sensing tubes for a portable mechanical ventilator
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
Abstract Today, respiratory ventilators are in high demand at the peak of the COVID-19 outbreak. However, there are concerns regarding insufficient supply of ventilators to handle the impending surge due to the high cost, and slow production and deliveries. Thus, the development of a low-cost portable ventilator becomes essential. The mechanical ventilator requires two main components including an active airbag and its venting control system. We developed a reliable active airbag designed with mechanically tunable 3D origami structures. The 3D origami structure based active airbag demonstrates reliable and reconfigurable characteristics. The active airbag’s volume can be tuned by controlling the triangular angles in the 3D origami-folding plates. Moreover, its volumetric ratio before and after compression is around 85%. Also, the rotating behavior of 3D origami tube under the compressive force allows more functionalities in the airbag such as the architectured pressure sensing. The 3D printed origami sensor measures the compressed angle to confirm the accuracy of detected pressure in the ventilator circuit. We achieved accurate delivery of targeted air volume with specific airflow rate by 3D printed reconfigurable origami tubes.
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