Investigation of the Release of Growth Factors from Apheresis Platelet Concentrate (APC) Loaded Three Layered Composite Nanofiber Surface
Bibliographic record
Abstract
In this study, a nanofiber surface loaded with apheresis platelet concentrate (APC) was produced for the first time to develop a bioactive wound dressing design. Nanofiber surface (n=5) consisting of polyurethane polymer outer layer, polyvinyl alcohol polymer middle layer, and polycaprolactone polymer matrix inner layer were produced via the electrospinning method. The surface morphologies of the produced nanofiber surfaces were examined by scanning electron microscopy. Quantitative analyzes of growth factors released from the APC-loaded composite nanofiber surfaces into phosphate-buffered saline at certain time intervals were performed with the ELISA. When the release amounts between bFGF, EGF, and PDGF-AA groups were compared, a significant difference was found in all periods (p0.05), but there was a significant difference between the EGF and PDGF-AA growth factors (p
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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) | 0.000 | 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".