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Record W7132951714

Optimization of a vinyl-lysine-urethane scaffold for use in oral mucosa regeneration

2008· dissertation· W7132951714 on OpenAlexfundno aff
Ekanki Saxena

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsScaffoldOral mucosaRegeneration (biology)In vitroBiodegradationFibroblastPolycarbonateCell culture
DOInot available

Abstract

fetched live from OpenAlex

This work focused on using a biodegradable vinyl-lysine-urethane (VLU) scaffold and rendering it more biocompatible by replacing methacrylate components, with a cross-linker (hydroxyethylmethacrylate---lysine diisocyanate---hydroxyethylmethacrylate). The cross-linker was observed to influence the wet-state mechanical properties of the scaffolds, in a linear manner (R2 = 0.84). Also an optimized VLU scaffold, formulated to contain the least amount of catalyst (dibutyl-tin-dilaurate 0.01 mL/mmol Polycarbonate diol), was used to generate an in vitro model of oral mucosa. The in vitro biodegradation (using human salivary derived esterase), degradation product cytotoxicity, and ability of the scaffold to support in-growth of epithelial and fibroblast cell lines was assessed. The scaffold degraded at a rate of 9.2wt%/month, biodegradation products were non-toxic towards SCC-15 cells, and both cell types adhered and proliferated into the scaffold. This study is the first use of such a synthetic, biodegradable, mechanically strong scaffold to help create a full-thickness oral mucosa model.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.042
GPT teacher head0.329
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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