The objective of this study was to investigated the use of chemometric modeling of thermogravimetric (TG) data as an alternative approach to estimate the chemical and proximate (i.e. volatile matter, fixed carbon and ash contents) composition of lignocellulosic biomass. Since these properties affect the conversion pathway, processing costs, yield and / or quality of products, a capability to ra...

Self-reports were collected during the VESPA2 national survey [1] and included three blocks of data: the 7-dimension PROQOL-HIV questionnaire [2], a 22-symptom checklist [3], and 21 binary indicators about clinical status. Data were analysed using bootstrapped sparse PLS (HRQL and symptoms only), and SGCCA (three blocks). Model hyper parameters (number of components, κ, and L1 penalty, λ) were ...

The training of human resources improves business performance: myth or reality? While the literature has extensively addressed this issue, the transfer that occurs from training to performance still remains unresolved. The present study suggests an empirical solution to this gap, through a multiple mediation model of dynamic capabilities. Accordingly, the study makes a major contribution to the...

When infrared spectral data are used in classification and/or multivariate regression methods there can be problems related to both chemical understanding and computation speed due to the large number of wavenumbers in each spectrum. Here, it is shown that the Procrustes rotation technique can be used to select a minimum set of spectral variables (wavenumbers) to perform classification and regr...

Structural equation modeling using partial least squares (PLS-SEM) has become a main-stream modeling approach in various disciplines. Nevertheless, prior literature still lacks a practical guidance on how to properly test for differences between parameter estimates. Whereas existing techniques such as parametric and non-parametric approaches in PLS multi-group analysis solely allow to assess di...

Four near-infrared spectrophotometers, and their associated spectral collection methods, were tested and compared for measuring three soybean single-seed attributes: weight (g), protein (%), and oil (%). Using partial least-squares (PLS) and four preprocessing methods, the attribute that was significantly most easily predicted was seed weight (RPD > 3 on average) and protein the least. The perf...

The outcomes of clinical usefulness as a driver of wireless technology for Indian healthcare are reported here. Using both qualitative and quantitative techniques, 30 physicians were interviewed and 200 health professionals were surveyed. The outcomes established that in addition to technology factors, other factors such as clinical factors, administration factors and communication factors play...

The objective of this work was to compare the accuracy of analyte concentration estimation when using transmission versus diffuse reflectance spectroscopy of a scattering medium. Monte Carlo ray tracing of light through the medium was used in conjunction with pure component absorption spectra and Beer-Lambert absorption along each ray's pathlength to generate matched sets of pseudoabsorbance sp...

Digital Fourier filtering is used to produce a temperature-insensitive univariate calibration model for measuring lysozyme in aqueous solutions. Absorbance spectra over the 5000-4000 cm-1 spectral range are collected for lysozyme standards maintained at 14 degrees C. These spectra are used to compute the calibration model while a set of spectra collected at temperatures ranging from 4 to 24 deg...

The purpose of the study is to examine differences of passionate love by culture, sex and the state of being in love at the time of the research. It was conducted with a total of 235 young people, 118 from a Turkish University and 117 from a US university. As a data collection tool, the Passionate Love Scale (PLS) and personal information forms were used. In this study, it was found that cultur...