ArticleScientific reports2025
A predictive model for electrospun based Polyvinyl alcohol (PVA) nanofibers diameter using an artificial neural network.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Formation and Properties of Electrospun Zein Nanofibers from Glacial Acetic Acid Solutions: Effects of Process Variables and Surfactants.Foods (Basel, Switzerland) · 2026Article
- A surrogate-based inverse design framework for targeted diameter control of electrospun nanofibers.Scientific reports · 2026Article
- Real-time monitoring and closed-loop control system for multi-jet electrospinning with coaxial laser.Scientific reports · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this work is to develop a predictive model for electrospun based polyvinyl alcohol (PVA) nanofiber diameter. Artificial Neural Network is employed to analyze the key variables such as applied electric field, the polymer concentrations, the rate of injection and nozzle collector distance, involves in the process of electrospinning affecting the diameter of PVA nanofiber. The most suitable network architecture was determined by considering and examining different topologies in artificial neural networks (ANNs) that composed of single and double hidden layers with different numbers of nodes for each layer. Strong prediction capabilities of the developed model are observed in the analysis of the parameters influencing the diameter of spun fibers for ANN configuration of 5-9-1. The findings revealed that PVA fiber diameters' predicted in our work and the already existing experimental data are significantly correlated with a regression that is around 0.973. Also, a low value of average absolute error i.e., 0.06 is obtained after the evaluation of the developed model.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.