Porous polylactide/chitosan scaffolds for tissue engineering
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
Novel porous scaffolds were fabricated using biodegradable polylactide/chitosan blends. A combinational technique involving solvent-extracting, liquid-solid separation, and freeze-drying paths were employed. The processing parameters were optimized in order to produce desired porous scaffolds and thus obtained scaffolds showed well distributed and interconnected porous structures with controllable porosities varying from around 50-85% and regulative pore sizes being distributed within a region between 2 and 190 microm. These scaffolds exhibited remarkably improved hydrophilicity based on the measurements for their swelling index. The results obtained from in vitro incubation of scaffolds in phosphate buffered saline solutions at 37 degrees C during various periods up to 10 weeks indicated that chitosan component inside the scaffolds, on the one hand, effectively buffered the acidic degradation products of polylactide/chitosan scaffolds and on the other hand, the degradation of the scaffolds was also conspicuously delayed. These porous scaffolds maintained well-defined compressive mechanical properties and by well-blending polylactide with chitosan component, improved toughness on the resultant porous scaffolds was also observed.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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