VISUAL METHODOLOGIES FOR NETWORKED IMAGES: DESIGNING VISUALIZATIONS FOR COLLABORATIVE RESEARCH, CROSS-PLATFORM ANALYSIS, AND PUBLIC PARTICIPATION

Visual Methodologies for Networked Images: Designing Visualizations for Collaborative Research, Cross-platform Analysis, and Public Participation

In this paper we present visual methodologies attuned to the networked nature of digital images.First, we describe approaches to image research in which images are not separated from their network, but rather studied en groupe.Here, we contrast approaches that treat Blood Sugar Support images as data, and those that regard images as content.Second,

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Morphologic and Vascular Changes in Treated Brain Arteriovenous Malformation by Stereotactic Radiosurgery; A Pilot Study

Objective: Goal of stereotactic radiosurgery in brain arteriovenous malformation (AVM) Rocking Chair is complete obliteration of the nidus to prevent risk in intracranial hemorrhage.This study was to evaluate morphologic and vascular parameters of treated brain AVM by radiosurgery in follow-up MR studies, which might predict the outcome.Methods: Th

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Neural network properties of hydrophilic polymers as a key for development of the general theory of evolution

The analysis of the existing literature demonstrates that in order to address the fundamental challenges associated with the origin of life, it is essential to consider this problem from a comprehensive perspective, specifically from the vantage point of the general theory of evolution of complex systems.From these positions, life should be regarde

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Transduction characteristics of alternative adeno-associated virus serotypes in the cat brain by intracisternal delivery

Multiple studies have examined the transduction characteristics of different AAV serotypes in the mouse brain, where they can exhibit significantly different patterns of transduction.The pattern of transduction also varies with the route of administration.Much less information exists for the transduction characteristics in large-brained animals.Lar

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