Measurement of the Effect of Cartilaginous Rings on Particle Deposition in a Proximal Lung Bifurcation Model
Bibliographic record
Abstract
Although cartilaginous rings are present in the trachea and main bronchi of actual human conducting airways, and despite previous authors' theoretical predictions that these effects are significant, little systematic experimental study has been conducted to quantify the effects of such localized morphological features on particle deposition. In the present study, the possible effects of cartilaginous rings upon particle deposition in an idealized airway model are investigated experimentally. The airway model includes the oral cavity, pharynx, larynx, trachea, and first three generations of bronchi. Gravimetry is used to determine the deposition of monodisperse aerosol particles with mass median diameters ranging between 2.9–6.3 µm for steady inhalation flow rates of 30 and 60 l/min. Particle deposition efficiency obtained from a model with cartilaginous rings present in the trachea is compared with that from a smooth-walled tracheo-bronchial model. Significantly enhanced deposition fraction in the trachea with cartilaginous rings present in the trachea is observed for all inhalation rates and particle sizes. The data also indicates that the disturbance of the airflow within the trachea by the presence of cartilaginous rings promotes deposition of particles through the entire trachea, but this influence does not propagate to bifurcations further downstream. The present work indicates that cartilaginous rings may be a critical element to be integrated into future modelling of airways due to their significant effect on inhaled aerosol deposition.
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 | 0.001 |
| 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 | 0.001 | 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 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".