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BACKGROUND Nicotine is the principal component of tobacco smoke, resulting in addiction, and recent evidence suggests that damage to the insular cortex (insula) disrupts tobacco addiction in human smokers. However, the effect of an inactivation of this structure in an animal model of nicotine addiction has yet to be evaluated. METHODS To study this(More)
Tobacco addiction is one of the leading preventable causes of mortality in the world and nicotine appears to be the main critical psychoactive component in establishing and maintaining tobacco dependence. Several lines of evidence suggest that the rewarding effects of nicotine, which underlie its abuse potential, can be modulated by manipulating the(More)
RATIONALE The endocannabinoid system has been recently identified as having critical involvement in drug taking and relapse phenomenon for various drugs of abuse and notably nicotine. The endocannabinoid system consists of endocannabinoids (such as anandamide), their target receptors (mostly cannabinoid CB(1) receptors), and the enzymes that degrade those(More)
Nicotine is the main psychoactive ingredient in tobacco and its rewarding effects are considered primarily responsible for persistent tobacco smoking and relapse. Although dopamine has been extensively implicated in the rewarding effects of nicotine, noradrenergic systems may have a larger role than previously suspected. This study evaluated the role of(More)
One forthcoming challenge in the area of high-performance computing is having the ability to run large-scale problems while coping with less memory per compute node. In this work, we investigate a novel data decomposition method that would allow Monte Carlo transport calculations to be performed on systems with limited memory per compute node. In this(More)
An algorithm for decomposing large tally data in Monte Carlo particle simulations is proposed, analyzed, and implemented/tested in a production Monte Carlo code, OpenMC. The algorithm relies on disjoint sets of compute processes and servers of which the former simulate particles moving through the geometry and the latter runs in a continuous loop receiving(More)
The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract In this work, we describe a new method for parallelizing the source iterations in a Monte Carlo criticality calculation. Instead of having one global fission bank that needs to be synchronized as is traditionally done, our method(More)
Current Monte Carlo neutron transport applications use continuous energy cross section data to provide the statistical foundation for particle trajectories. This " classical " algorithm requires storage and random access of very large data structures. Recently, Forget et al.[1] reported on a fundamentally new approach, based on multipole expansions, that(More)