Polyethylene comonomer characterization by using FTIR and a multivariate classification technique.
Sign Up to like & getrecommendations! Published in 2017 at "Talanta"
DOI: 10.1016/j.talanta.2016.10.082
Abstract: Many polyethylene (PE) films used in various packaging applications are based on multi-layer systems and are fabricated by using the coextrusion techniques that can combine different raw materials. The identification of the comonomer type (octene… read more here.
Keywords: polyethylene comonomer; comonomer; polyethylene; comonomer characterization ... See more keywords
Multivariate classification of neuroimaging data with nested subclasses: Biased accuracy and implications for hypothesis testing
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DOI: 10.1371/journal.pcbi.1006486
Abstract: Biological data sets are typically characterized by high dimensionality and low effect sizes. A powerful method for detecting systematic differences between experimental conditions in such multivariate data sets is multivariate pattern analysis (MVPA), particularly pattern… read more here.
Keywords: classification; classification neuroimaging; subclass bias; subclass ... See more keywords
Improving bitter pit prediction by the use of X-ray fluorescence (XRF): A new approach by multivariate classification
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.1033308
Abstract: Bitter pit (BP) is one of the most relevant post-harvest disorders for apple industry worldwide, which is often related to calcium (Ca) deficiency at the calyx end of the fruit. Its occurrence takes place along… read more here.
Keywords: classification; bitter pit; fruit; multivariate classification ... See more keywords