The multivariate calibration method, partial least square regression (PLS) was applied for thesimultaneous spectrophotometric determination of Lidocaine (LID) and Hydrocortisone acetate(HCA) in their mixtures. The parameters of chemometric technique were optimized and theproposed method was validated with synthetic samples and applied to analyze these drugs inpharmaceutical products with good a...

The aim of this study has been to investigate the process of acceptance and use of technology by users, focusing on the role of intrinsic and extrinsic motivation in determining it. The key role of user's motivation in determining the usage behavior has been already investigated from previous research, but they have not focused on the process of microblogging acceptance. On the contrary of othe...

The focus is on robust regression methods for problems where the predictor matrix has full rank and where it is rank deficient. For the first situation, various robust regression methods have been introduced, and here an overview of the most important proposals is given. For the latter case, robust partial least squares regression is discussed. The way of downweighting outlying observations is ...

More is known about the pervasiveness of college cheating than reasons why students cheat. This article reports the results of a study that applied the theory of reasoned action and partial least squares methodology to analyze the responses of 144 students to a survey on cheating behavior. Approximately 60% of the business students and 64% of the non-business students admitted to such behavior....

Assessing the quality of a delivered system has been one of the major challenges for researchers as well as for the practitioners (organizations). There is the need of a multidimensional instrument capable of measuring the quality of an information system, that instrument would provide valid information that helps an organization to take decisions in order to improve and assure the quality of i...

Semantic Indexing based on Partial Least Squares (SIPLS) is an effective feature extraction method for text classification. SIPLS integrates the global category information Y with the document-class matrix X to create the latent semantic spaces. However, the global latent space may not be the optimal one for each class. To solve this problem, the Local SIPLS (LSIPLS) method is proposed which cr...

The potential of Near Infrared Reflectance Spectroscopy (NIRS) as a fast method to predict the Crude Protein (CP) and Moisture (M) content in fishmeal by scanning spectra between 1000 and 2500 nm using multivariate regression technique based on Partial Least Squares (PLS) was evaluated. The coefficient of determination in calibration (R2C) and Standard Error of Calibra...

Introduction The concentration of substances, including urea, creatinine, and uric acid, can be used as an index to measure toxic uremic solutes in the blood during dialysis and interdialytic intervals. The on-line monitoring of toxin concentration allows for the clearance measurement of some low-molecular-weight solutes at any time during hemodialysis.The aim of this study was to determine the...