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Analysis of the metal layer thickness influence on the dispersion characteristics of acoustic waves propagating in the layered piezoelectric structure ‘‘Me/AlN/Me/diamond”/(100) diamond” PLS configuration. However, if the acoustic impedance of the metal layer is greater than

Analysis of the metal layer thickness influence on the dispersion characteristics of acoustic waves propagating in the layered piezoelectric structure ‘‘Me/AlN/Me/diamond”/(100) diamond” PLS configuration. However, if the acoustic impedance of the metal layer is greater than

GTM-Based QSAR Models and Their Applicability Domains tree and PLS) and ISIDA fragment descriptors. By comparing GTM activity landscapes built both

GTM-Based QSAR Models and Their Applicability Domains machine-learning methods (random forest, k-NN, M5P regression tree and PLS) and ISIDA fragment descriptors

Northern Russian chironomid-based modern summer temperature data set and inference models-component WA-PLS model (RMSEPJack=1.35°C, rJack 2=0.87) can be recommended for application in palaeoclimatic

Oxylipin profiles in plasma of patients with wilson’s disease analysis (PLS-DA) showed that eight oxylipins and lipids stand for the variance between WD and HCs

The impact of mobile money, remittances, and financial development on innovative growth in sub-Saharan Africa-Saharan Africa (SSA). Using partial least squares (PLS), we conducted a comprehensive analysis to econometrically

Comparative analysis of lipids and fatty acids in beaked redfish Sebastes mentella Travin, 1951 collected in wild and in commercial products of the total lipids (TLs), total phospholipids (PLs), monoacylglycerols (MAGs), diacylglycerols (DAGs

Adaptive noise model based iteratively reweighted penalized least squares for fluorescence background subtraction from Raman spectra-IRPLS baseline correction method allows for better results in background removal than the airPLS. For real Raman

Financial Innovation: The Impact of Mobile Money on Innovative Economic Growth in sub-Saharan Africa (SSA) for 2011–2018 period using the partial least squares (PLS) regression

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