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Industria Textila
Article . 2022 . Peer-reviewed
Data sources: Crossref
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Statistical analysis of yarn characteristics for multilayer fabric matrix meant for hemostasis and tissue regeneration

Authors: Alexandra Gabriela Ene; Razvan-Victor Scarlat; Marian-Catalin Grosu; Radu Gabriel Hertzog; Diana Mihaela Popescu;

Statistical analysis of yarn characteristics for multilayer fabric matrix meant for hemostasis and tissue regeneration

Abstract

Effective wound handling involves understanding the processes caused by several factors, such as the type of wound treated, the healing process, the general health of the patient (e.g., the existence of other diseases), the social environment, and the chemical and physical properties of available dressings. For the treatment of shot or burn wounds, the multilayer matrices that will be made must provide efficient oxygen permeability, but most importantly to simulate the structural and biological characteristics of the extracellular skin matrix (ECM). In order to achieve, by mechano-textile processing technologies, the textile structures that can be used as a base layer in the multilayer matrix, raw materials based on cotton, Lenpur, and bamboo mixed with zinc oxide were selected and analysed in accredited testing laboratories, from the point of view of the physical-mechanical characteristics. The results obtained in the case of the experimental program were analysed from a statistical point of view, the description of the statistical populations being made using a specialized program that allowed the calculation of the distribution parameters: mean, median, and standard deviation. To determine the outliers, for all the characteristics of the experimented variants the Q-Q Plot graphs were used. The information obtained as a result of the statistical analysis will be used to design the textile layers of the multilayer matrix using statistical techniques to create probabilistic prediction models that model the dependent variable Y is the hygroscopicity, depending on the independent variables x1 – linear density, x2 – twist/ply, x3 – breaking force, x4 – elongation at break

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
gold