Magnetic resonance imaging has great potential for aiding in the selection of patients who will respond to CRT. MRI is the only imaging tool that can simultaneously assess mechanical dyssynchrony, determine the amount and location of myocardial scar tissue, and map the location of cardiac venous anatomy-three important factors in predicting a patient's response to CRT. The goal of this manuscri...

Abstract O ne of the main criticisms of location models is simplistic assumptions concerning the consumers’ distribution on the street or city. The location models usually make use of uniform distribution of consumers while it is not true in reality, and mostly the consumers’ accumulation is more in the city centers rather than suburb areas. This study deals with selectio...

Visual attention operates by biasing competitive interactions between neural representations, favoring relevant over irrelevant visual inputs. Attention can enhance the processing of relevant information using location-based, feature-based or object-based selection mechanisms. Studies using event-related potential and event-related magnetic field recordings, together with functional magnetic re...

Heterogeneous wireless networks are capable of providing customers with better services while service providers can offer more applications to more customers with lower costs. To provide services, some applications rely on existing servers in the network. In a vehicular ad-hoc network (VANET) some mobile nodes may function as servers. Due to high mobility of nodes and short lifetime of links, s...

In local feature–based face recognition systems, the topographical locations of feature extractors directly affect the discriminative power of a recognizer. Better recognition accuracy can be achieved by the determination of the positions of salient image locations. Most of the facial feature selection algorithms in the literature work with two assumptions: one, that the importance of each feat...

To capture location shifts in the context of model selection, we propose selecting significant step indicators from a saturating set added to the union of all of the candidate variables. The null retention frequency and approximate non-centrality of a selection test are derived using a ‘split-half’ analysis, the simplest specialization of a multiple-path block-search algorithm. Monte Carlo simu...

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