Nanofabrication of Electrospun Fibers for Controlled Release of Retinoic Acid
Bibliographic record
Abstract
The process of electrospinning has received a remarkable amount of attention as this technique can be used to encap-sulate bioactive agents into polymer nanofibers while varying topographies. Encapsulation of bioactive agents inside elec-trospun nanofibers can be carried out by emulsion electro-spinning where the specific agent is dissolved into the desired polymer solution. In this study, we demonstrate that retinoic acid (RA), a small molecule that regulates neural develop-ment, could be successfully encapsulated into electrospun poly (epsilon-caprolactone) (PCL) nanofibers at different doses while varying fiber topography. Controlled release of RA was evaluated over a month from both randomly oriented and aligned PCL scaffolds. Finally, we show that these scaffolds support and direct murine CE3 embryonic stem cell (ESCs) proliferation and migration. Overall, this novel combination of RA releasing electrospun nanofibers and stem cell derived neural progenitors serves as a promising strategy for the re-pair of spinal cord injuries.
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 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 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".