Several variable selection algorithms in multivariate calibration can be accelerated using Graphics Processing Units (GPU). Among these algorithms, the Firefly Algorithm (FA) is a recent proposed metaheuristic that may be used for variable selection. This paper presents a GPU-based FA (FA-MLR) with multiobjective formulation for variable selection in multivariate calibration problems and compar...

We assessed the role of the nonclassical class I molecule, CD1d, in the interaction between intestinal epithelial cells and T cells. In a mixed lymphocyte reaction (MLR) system where the stimulator cells were irradiated normal intestinal cells, the anti-CD1d monoclonal antibody (mAb) 3C11 inhibited T cell proliferation. In contrast, no inhibition was seen when mAb 3C11 was added to conventional...

One of the most visible consumer protections in the Patient Protection and Affordable Care Act is the requirement that health insurers pay out at least 80 percent to 85 percent of premium dollars for medical care expenses. Insurers that pay out less than this minimum "medical loss ratio" (MLR) must rebate the difference to their policyholders, starting in 2011. Using insurers' MLR data from 201...

Regulatory effects of alloantigen-activated thymus-derived lymphocytes in mixed lymphocyte reactions have been demonstrated. Mice were injected into foot pads with allogeneic spleen cells; 4 days following sensitization spleen or regional lymph node cells from these animals were treated with mitomycin C and incorporated into MLR as regulator populations syngeneic to the responder cell type. Act...

We used the Fsp technique to quantify the influence of changing stages of consciousness on the signal-to-noise ratio of the middle latency response (MLR). The MLR and polysomnographic activity were obtained from 10 subjects during a continuous 6-hour period. The Fsp statistic was applied to the MLR data in order to determine the number of scores above a specified criterion in each stage of cons...

MLR, an extended LR parser, is introduced, and its application to natural language parsing is discussed. An LR parser is a ~;hift-reduce parser which is doterministically guided by a parsing table. A parsing table can be obtained automatically from a context-free phrase structure grammar. LR parsers cannot manage antl)iguous grammars such as natural language grammars, because their I)arsing tab...

On the set of 53 trypsin inhibitors the affinity to the covalent bound ligands is modeled using linear (MLR) and non-linear (ANN) methods. Each compound is represented by 343 chemical descriptors. The hypothesis was that linear models are not sufficiently flexible to yield the best model, because in MLR (multiple regression analysis) the number of variables (descriptors) is limited by the numbe...

A new approach to organ transplantation that may be particularly applicable to kidney transplantation is suggested by analogy with the immunological mechanism responsible for the survival of the fetal allograft. The method concerns identifying donor-recipient tissue compatibility by use of the two-way mixed lymphocyte reaction (MLR), in which reacting cells from patients awaiting transplants ar...

A new variable selection wrapper method named the Monte Carlo variable selection (MCVS) method was developed utilizing the framework of the Monte Carlo cross-validation (MCCV) approach. The MCVS method reports the variable selection results in the most conventional and common measure of statistical hypothesis testing, the P-values, thus allowing for a clear and simple statistical interpretation...

The support vector machine (SVM), as a novel type of learning machine, for the first time, was used to develop a Quantitative Structure-Property Relationship (QSPR) model of the heat capacity of a diverse set of 182 compounds based on the molecular descriptors calculated from the structure alone. Multiple linear regression (MLR) and radial basis function networks (RBFNNs) were also utilized to ...