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Record W3134333130 · doi:10.3934/matersci.2021008

Poly(vinyl alcohol) nanocomposites: Recent contributions to engineering and medicine

2021· article· en· W3134333130 on OpenAlexaff
D. Feldman

Bibliographic record

VenueAIMS Materials Science · 2021
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Nanocomposite Synthesis and Irradiation
Canadian institutionsConcordia University
Fundersnot available
KeywordsVinyl alcoholNanocompositeMaterials scienceGraphenePolymerVinyl esterVinyl polymerMontmorilloniteOxideChemical engineeringPolymer chemistryComposite materialNanotechnologyCopolymer

Abstract

fetched live from OpenAlex

Poly(vinyl alcohol) is a water soluble hydrophilic synthetic polymer. As a matrix it can be mixed with fillers having nano dimensions to form polymer nanocomposites with interesting properties, different than those of PVA. From the chemical point of view nanofillers can be elements such as Au, Ag, Se, oxides such as CuO, SrO, TiO2, graphene oxide, minerals like hallosite, montmorillonite, tubes such as carbon nanotubes, hallosite nano tubes, etc. As presented in this review, some of the nanofillers are able to change and improve poly(vinyl alcohol)'s mechanical, thermal, and electrical properties, and can find uses in medicine. In the latter, due to the fact that poly(vinyl alcohol) is biocompatible, biodegradable, and bioabsorbant, it is possible to produce poly(vinyl alcohol) nanocomposites to be used like antibacterial, tissue engineering, drug carrier, wound dressing, etc. The present article retains the most recent (2019–2020) studies done on poly(vinyl alcohol) nanocomposites structure and contributions to engineering and medicine.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.276
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations15
Published2021
Admission routes1
Has abstractyes

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