Single particle tracking is a powerful tool for probing the organization and dynamics of the plasma membrane constituents. We used this technique to study the micro -opioid receptor belonging to the large family of the G-protein-coupled receptors involved with other partners in a signal transduction pathway. The specific labeling of the receptor coupled to a T7-tag at its N-terminus, stably exp...

This paper proposes a tractable model of Bayesian learning on large random networks where agents choose whether to adopt an innovation. We study the impact network structure dynamics and product diffusion. In directed networks, all direct indirect links contribute agents' learning. comparison, welfare are lower in undirected with cliques. rich class behavior is described by small number differe...

– We report numerical simulations of a strongly biased diffusion process on a one-dimensional substrate with directed shortcuts between randomly chosen sites, i.e. with a small-world-like structure. We find that, unlike many other dynamical phenomena on smallworld networks, this process exhibits non-monotonic dependence on the density of shortcuts. Specifically, the diffusion time over a finite...

We use Monte Carlo simulations to study the dual-mode diffusion regime of binary and tertiary mixtures of hard spheres confined in narrow cylindrical pores under the influence of an imposed flow. The flow is introduced to the dynamics by adding a small bias directed along the long axis of the pore to the random displacement of each Monte Carlo move. As a result, the motion of the particles in a...

Limiting profiles of solutions to a 2×2 Lotka–Volterra competition-diffusion-advection system, when the strength of the advection tends to infinity, are determined. The two species, competing in a heterogeneous environment, are identical except for their dispersal strategies: one is just a random diffusion, while the other is “smarter”—a combination of random diffusion and a directed movement u...

In this paper, an algorithm based on ladder diffusion and ACO [5,6] is proposed to solve the power consumption and transmission routing problems in wireless sensor networks. The proposed ladder diffusion algorithm is employed to route paths for data relay and transmission in wireless sensor networks, reducing both power consumption and processing time to build the routing table and simultaneous...

1. Introduction The last decade has seen a considerable increase in the number of biochemical and biomedical applications of PFG NMR diffusion methods. However, despite commercial availability of powerful, stable, and reproducible gradient units, 1 H diffusion measurements of low-concentration solutes in non-deuterated media can still present a challenging problem. Large solvent peaks can make ...

In this study two actual types of problems are considered and solved: 1) determining the maximum common connected fragment of the T-tree (T-directed tree) which does not change with time; 2) determining all maximum common connected fragments of the T-tree (T-directed tree) which do not change with time. The choice of the primary study of temporal directed trees and trees is justified by the wid...