Rheological properties of synthetic mucus for airway clearance
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 In this work, a complete rheological characterization of bronchial mucus simulants based on the composition proposed by Zahm et al. (Eur Respir J 1991; 4:311–315) is presented. Dynamic small amplitude oscillatory shear (SAOS) experiments, steady state (SS) flow measurements and three intervals thixotropy tests (3ITT), are carried out to investigate the global rheological complexities of simulants (viscoelasticity, viscoplasticity, shear‐thinning, and thixotropy) as a function of scleroglucan concentrations (0.5–2 wt %) and under temperatures of 20 and 37°C. SAOS measurements show that the limit of the linear viscoelastic range as well as the elasticity both increase with increasing sclerogucan concentrations. Depending on the sollicitation frequency, the 0.5 wt % gel response is either liquid‐like or solid‐like, whereas more concentrated gels show a solid‐like response over the whole frequency range. The temperature dependence of gels response is negligible in the 20–37°C range. The Herschel–Bulkley (HB) model is chosen to fit the SS flow curve of simulants. The evolution of HB parameters versus polymer concentration show that both shear‐thinning and viscoplasticity increase with increasing concentrations. 3ITTs allow calculation of recovery thixotropic times after shearings at 100 or 1.6 s −1 . Empiric correlations are proposed to quantify the effect of polymer concentration on rheological parameters of mucus simulants. © 2017 Wiley Periodicals, Inc. J Biomed Mater Res Part A: 106A: 386–396, 2018.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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