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This document captures scope of the Multi-hop System Evaluation Methodology including the Channel Model, Traffic Model and Performance Metrics. This document is a Task Group document to which the harmonized contribution document C802.16j-06/042r2 has been converted as one of the baseline documents defined during the 2 nd Relay TG in session #44. Purpose(More)
The human neocortex has numerous specialized functional areas whose formation is poorly understood. Here, we describe a 15-base pair deletion mutation in a regulatory element of GPR56 that selectively disrupts human cortex surrounding the Sylvian fissure bilaterally including "Broca's area," the primary language area, by disrupting regional GPR56 expression(More)
The human cerebral cortex depends for its normal development and size on a precisely controlled balance between self-renewal and differentiation of diverse neural progenitor cells. Specialized progenitors that are common in humans but virtually absent in rodents, called outer radial glia (ORG), have been suggested to be crucial to the evolutionary expansion(More)
Of the 261 nonsyndromic patients we studied, over 90% had minimal or absent hypernasality, almost 86% had inconsistent or no nasal emission, and 95% had no articulation errors related to velar function. The patients with a Pittsburgh score indicating an incompetent velopharyngeal mechanism comprised only about 6% of the group. Ninety-four percent had a(More)
We consider a hierarchical multicellular sensing and communication network, embedded in an ageless aerospace vehicle that is expected to detect and react to multiple impacts and damage over a wide range of impact energies. In particular, we investigate self-organization of impact boundaries enclosing critically damaged areas, and impact networks connecting(More)
Objective: To determine whether expert problem-solving strategies can be identified within a large number of student performances of complex medical diagnostic simulations. Methods: Self-organizing artificial neural networks were trained to categorize the performances of infectious disease subspecialists on six computer-based clinical diagnostic simulations(More)
OBJECTIVE Cognitive neurophysiologic synchronies (NS) are low-level data streams derived from electroencephalography (EEG) measurements that can be collected and analyzed in near real time and in realistic settings. The objective of this study was to relate the expression of NS for engagement to the frequency of conversation between team members during(More)
We present several novel methods quantifying dynamic interactions in simulated football games. These interactions are captured in directed networks that represent significant coupled dynamics, detected information-theoretically. The model-free approach measures information dynamics of both pair-wise players’ interactions as well as local tactical contests(More)
It is impossible to directly visualize all of the items of a large dataset at once. Often, the number of items exceeds the number of pixels. Since direct representation is not a reliable option, a variety of methods have been developed for dealing with indirect representation. Such methods include clustering and intelligent filtering to reduce the number of(More)
In this paper we present a genetic algorithm-based approach towards designing “enzymes” in a multi-agent system, where agents are defined as square smart blocks. In the real world an enzyme is an organic protein which catalyses a specific reaction. Here, we use it in the context of self-assembling blocks to characterize an assembly of blocks which is(More)