In this paper, we are interested in some convergent formulations for the unsymmetric collocation method or the so-called Kansa’s method. We review some newly developed theories on solvability and convergence. The rates of convergence of these variations of Kansa’s method are examined and verified in arbitrary–precision computations. Numerical examples confirm with the theories that the modified...

High-dimensional gray-box identi cation is a fairly unexplored part of system identi cation. Nevertheless, system identi cation problems tend to be more high-dimensional nowadays. In this paper we deal with high-dimensional regression with regressors constrained to some manifold. A recent technique in this class is weight determination by manifold regularization (WDMR). WDMR, however, is a blac...

Functionalization of calix[4]arene with amidofluorene moieties at the lower rim led to formation of the 1,3-diconjugate of calix[4]arene L as a novel fluorescent chemosensor for Cu(2+). The receptor molecule L exhibited a pronounced selectivity towards Cu(2+) over other mono and divalent ions. The formation of the complex between L and Cu(2+) was evaluated by absorption, fluorescence and (1)H N...

Selective colorimetric detection of ATP in physiological conditions by a Zn(II)-based receptor is reported. This reagent was found to be non-toxic to the living cells and could be used for studying the growth of the yeast cells.

A di-triazole based peptide has been synthesised by copper catalyzed Huisgen cycloaddition. Fluorescence intensity is enhanced selectively in the presence of Zn(2+), which is ascribed to reversal of photoelectron transfer. Compound 7 was found to self-assemble in the presence of Zn(ClO(4))(2) in an exclusive 2:1 ratio, which is supported by (1)H NMR titration and mass spectral data. The fluores...

The rapid growth of collections in online academic databases has meant that there is increasing di culty for experts who want to access information in a timely and e cient way. We seek here to explore the application of information extraction methods to the identi cation and classi cation of terms in biological abstracts from MEDLINE. We explore the use of a statistical method and a decision tr...

In this paper we propose the use of statistical features for time-series classi cation. The classi cation is performed with a multi-layer perceptron (MLP) neural network. The proposed method is examined in the context of Control Chart Pattern data, which are time series used in Statistical Process Control. Experimental results verify the e ciency of the feature-based classi cation method, compa...

Conventional pixelwise classi cation techniques have two drawbacks. The rst is that they tend to occur isolated misclassi cations because they classify each site independently using spectral information only. The second is that sample data which represent each class are indispensable to estimate model parameters or to train classi cation Neural Networks. In this manuscript a new unsupervised co...