Biocompatibility of electrospun PVA-based nanocomposite with chemical vapor deposition-derived graphene monolayer
Bibliographic record
Abstract
The biocompatibility of electrospun PVA with monolayer graphene obtained by chemical vapor deposition (PVA/CVD-grown MLG) nanocomposite was investigated. The properties of PVA/CVD-grown MLG nanocomposite were compared with those of electrospun PVA mat. Raman analysis confirmed the presence of graphene monolayer on PVA. Although no significant changes in tensile properties were observed, the electrical conductivity increased from 0.1 (PVA mat) to 0.4 μS/cm (PVA/CVD-grown MLG). Thermal stability was also increased, as evidenced by the higher onset temperature and temperature of maximum decomposition rate determined by TGA. The contact angle decreased slightly, which resulted in higher PBS absorption and degradation of the nanocomposite. Water vapor transmission rate (WVTR) decreased from 40 (PVA mat) to 37 g/m2 h (PVA/CVD-grown MLG). Cell culture studies showed better cell viability, population, and growth in the case of PVA/CVD-grown MLG nanocomposite due to improved physical, chemical and mechanical properties.
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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) | 0.001 | 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 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".