Pharmacophore models play an essential role in drug discovery. Generating pharmacophore models which encode accurate molecular recognition features are highly dependent on properly defined annotations. Simplistic or ill-defined pharmacophore annotations which do not capture subtle electronic or geometric effects lead to many inaccuracies. SMARTS patterns which are often used to specify annotati...

The purpose of the present study was to investigate the effect of context on learning idioms among 60 Iranian female advanced English learners. To this end, the researcher assigned the participants to two experimental groups and one control group: Group 1 (first experimental group, the extended-context group), Group 2 (second experimental group, the limited-context group) and Group 3 (control g...

This paper introduces a novel algorithm for multi–extended object tracking, which is based on probabilistic–statistical modelling, machine learning, and optimization theory. The proposed approach encompasses methods modelling the state of extended objects, data association, predicting updating objects at each time step. performance was assessed compared with other existing algorithms using simu...

This paper presents a data focusing method (DFM) to image extended targets using the multiple signal classification (MUSIC) algorithm. The restriction on the number of transmitter-receiver antennas in a microwave imaging system deteriorates profiling an extended target that comprises many point scatterers. Under such situation, the subspace-based linear inverse scattering methods, like the MUSI...