Baker et al.1 have drawn to our attention flaws in our analysis of voxel selectivity arising because noise can generate similar results and because this analysis excluded voxels whose amplitudes were negatively correlated across runs, which the Methods failed to state. In addition, Simmons et al.2 note that our selectivity index incorrectly assigns high values to voxels with low or negative act...

Equilibrium adsorption property of multi-walled carbon nanotubes with OH group was studied using experimental design for the adsorption of CO2 , CH4 and H2 . The effect of temperature, pressure, their binary interactions and quadratic terms were studied for adsorption capacity of nanotubes and the results were analyzed by the face centered central composite design method and analysis of varianc...

Formal Concept Analysis (FCA) is a data mining and visualization approach originating from information science. It operates on binary relationships between objects and attributes, which are reported in a formal context. Formal concepts are sets of objects that share a defined subset of attributes. FCA organizes these concepts in lattices that reflect their relationship in terms of shared object...

abstract background: molecular imprinting is a method for synthesizing polymers with structure-selective adsorption properties with applications such as, selectivity binding, drug delivery systems and anti-bodies. the present study aims at optimizing the preparation of molecularly imprinted polymer (mip) against l-phenylalanine, in order to increase phenylalanine-binding in enzymatic intestinal...

Adaptation is widely used as a tool for studying selectivity to visual features. In these studies it is usually assumed that the loci of feature selective neural responses and adaptation coincide. We used an adaptation paradigm to investigate the relationship between response and adaptation selectivity in event-related potentials (ERPs). ERPs were evoked by the presentation of colored Glass pat...

This paper proposes a cost model for selectivity estimation of predictive spatio-temporal window queries. Initially, we focus on uniform data proposing formulae that capture both points and rectangles, and any type of object/query mobility combination (i.e., dynamic objects, dynamic queries or both). Then, we apply the model to non-uniform datasets by introducing spatio-temporal histograms, whi...

The use of enzymes in analytical chemistry has gained tremendous attention during the last 2-3 decades. The obvious and straightforward reason has to do with the specificity of enzymatic reactions. In other words, by incorporating an enzyme-related step in the analytical cycle, someone can achieve high selectivity by using non-selective detection techniques (e.g. spectrophotometry, fluorescence...

A microfluidic paper-based analytical device (μPAD) for the determination of lactoferrin in human tear fluid has been developed. By using the fluorescence signal emitted from lactoferrin-terbium complexes, an antibody-free sensing system has been achieved. Application of 2.5 μL of sample onto a μPAD allowed for the detection of lactoferrin concentration in human tear fluid. The selectivity for ...

We report results of numerical simulations for a model of generation of orientation selectivity in macaque striate cortex. In contrast to previous models, where the initial orientation bias is generated by convergent geniculate input to simple cells and subsequently sharpened by lateral circuits, our approach is based on anisotropic intracortical excitatory connections which provide both the in...

We present a method for discovering patterns of selectivity in fMRI data for experiments with multiple stimuli/tasks. We introduce a representation of the data as profiles of selectivity using linear regression estimates, and employ mixture model density estimation to identify functional systems with distinct types of selectivity. The method characterizes these systems by their selectivity patt...