Multivariate curve resolution via alternating least squares (ALS) is used to resolve the concentration profiles and the pure component spectra of species from the multivariate absorbance data , assuming the bilinear model = . Due to the possible permutations of profiles and the presence of intensity and rotational ambiguities, soft constraints such as nonnegativity of and as well as unimodality...

in this research, gold nanoparticles were synthesized and functionalized by the antibody of aflatoxins. the quenching of the fluorescence of excitation emission matrices (eem) of two type of aflatoxins (b1, g1), provoked by the gold nanoparticles, was studied by principal component analysis (pca) and multivariate curve resolution with alternating least squares (mcr-als). these aflatoxins show q...

There is an increasing need to use multivariate statistical methods for understanding biological functions, identifying the mechanisms of diseases, and exploring biomarkers. In addition to classical analyses such as hierarchical cluster analysis, principal component analysis, and partial least squares discriminant analysis, various multivariate strategies, including independent component analys...

Abstract In this paper, we study the high-dimensional super-resolution imaging problem. Here, are given an image of a number point sources light whose locations and intensities unknown. The is pixelized blurred by known point-spread function arising from device. We encode unknown their via non-negative measure propose convex optimization program to find it. Assuming device’s componentwise decom...