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Record W2157305279 · doi:10.21083/surg.v5i2.1471

Applications of electrospun nanofibers in the biomedical field

2012· article· en· W2157305279 on OpenAlexfundvenueno aff
Nishath Khan

Bibliographic record

VenueSURG Journal · 2012
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsnot available
FundersMinistry of Agriculture, Food and Rural AffairsNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsElectrospinningNanofiberMaterials scienceNanotechnologyBiocompatible materialPolymerTextileComposite materialBiomedical engineeringEngineering

Abstract

fetched live from OpenAlex

Electrospinning is a technology that has been widely used as a novel method for the generation of nano scale fibres. Electrospun fibres are used in a wide range of applications from electronics to textile. The viability and popularity of this technology can be evidenced by its ease of use and the simplicity of the science behind building the electrospinning machine. The generated fibres have a high surface area- to- volume ratio, the fibrous mats are highly porous and display excellent mechanical properties when compared to other materials of the same scale. In the past decade, this technology has taken off with the use of biocompatible and biodegradable polymers. This review is a summary of the different ways in which electrospinning can be used in the biomedical field. This article analyzes the recent advances of this technology in tissue engineering, drug delivery and in enzyme immobilisation, which once again showcases the versatility of the electrospinning procedure.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.007
GPT teacher head0.270
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

Citations42
Published2012
Admission routes2
Has abstractyes

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Same venueSURG JournalSame topicElectrospun Nanofibers in Biomedical ApplicationsFrench-language works237,207