An Investigation into the Feasibility of Utilizing Fluidic Shear Stresses to Functionally Organize Conducting Airway Epithelium
Bibliographic record
Abstract
There are currently no reliable clinical treatments for reconstructing large segments of injured trachea. Recent implants have suboptimal mucociliary clearance in the trachea due to improper organization of the airway epithelium. Organization of the airway epithelium determines ciliary beat direction and coordination for proper mucociliary clearance. Fluidic shear stresses have been shown to influence ciliary organization and short-term airflow shear stresses have been shown to affect ciliary function. An in vitro fluidic flow system is developed for inducing long-term airflow shear stresses on airway epithelium to influence epithelial organization. Validation of the system is determined by measuring cell viability and mature epithelial cell markers. The system is utilized to investigate the organizational effects of long-term airflow shear stresses on maturing cells. From the experiments, airflow shear stresses are unable to override existing organizing cues. The goal of this study is to provide valuable information on strategies to generate functional epithelium.
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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 | 0.000 | 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) | 0.002 | 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".