In machine translation (MT), parsing acts as a kernel step to analyze and acquire the syntactic information of an input sentence for the purpose to reproduce the corresponding translation in target language according to the syntactic relationships between the source and target sentences. The parsing process is guided by a set of language formalism, and the design of such algorithm is highly dep...

We performed a genealogical analysis of the ionotropic glutamate receptor (iGluR) gene family, which includes the animal iGluRs and the newly isolated glutamate receptor-like genes (GLR) of plants discovered in Arabidopsis. Distance measures firmly placed the plant GLR genes within the iGluR clade as opposed to other ion channel clades and indicated that iGluRs may be a primitive signaling mech...

Clinical reports suggest close interactions between stressors, particularly those of long duration, and liver diseases, such as hepatic inflammation, that is proposed to occur via reactive oxygen species. In the present study we have used 21-day social isolation of male Wistar rats as a model of chronic stress to investigate protein expression/activity of liver antioxidant enzymes: superoxide d...

The amino acids glutamate (Glu) and glycine (Gly) trigger large, rapid rises in cytosolic Ca(2+) concentration and a concomitant rise in membrane potential (depolarization) in plants. The possibility that plant homologs of neuronal ionotropic glutamate receptors mediate these neuron-like ionic responses was tested in Arabidopsis (Arabidopsis thaliana) seedlings using a combination of Ca(2+) mea...

This paper addresses a target detection problem for which the covariance matrix of the unknown Gaussian clutter background has block diagonal structure This block diagonal structure is the consequence of the target lying along a boundary between two statistically independent clutter regions Here we design adaptive detection algorithmsusing both the generalized likelihood ratio GLR and invarianc...

A detector for the case of a radar target with known Doppler and unknown complex amplitude in complex Gaussian noise with unknown parameters has been derived. The detector assumes that the noise is an Auto-Regressive (AR) process with Gaussian autocorrelation function which is a suitable model for ground clutter in most scenarios involving airborne radars. The detector estimates the unknown...

This correspondence considers the problem of detecting abrupt changes in the mean of a multivariate Gaussian random signal. A fixed sample size -test is compared against the optimum sequential tests ( -CUSUM and -GLR).