Balance network of asymmetric simple exclusion process

We investigate a balance network of the asymmetric simple exclusion process (ASEP). Subsystems consisting of ASEPs are connected by bidirectional links with each other, which results in balance between every pair of subsystems. The network includes some specific important cases discussed in earlier works such as the ASEP with the Langmuir kinetics, multiple lanes and finite reservoirs. Probability distributions of particles in the steady state are exactly given in factorized forms according to their balance properties. Although the system has nonequilibrium parts, the expressions are well described in a framework of statistical mechanics based on equilibrium states. Moreover, the overall argument does not depend on the network structures, and the knowledge obtained in this work is applicable to a broad range of problems

Energy landscape analysis of neuroimaging data

Computational neuroscience models have been used for understanding neural dynamics in the brain and how they may be altered when physiological or other conditions change. We review and develop a data-driven approach to neuroimaging data called the energy landscape analysis. The methods are rooted in statistical physics theory, in particular the Ising model, also known as the (pairwise) maximum entropy model and Boltzmann machine. The methods have been applied to fitting electrophysiological data in neuroscience for a decade, but their use in neuroimaging data is still in its infancy. We first review the methods and discuss some algorithms and technical aspects. Then, we apply the methods to functional magnetic resonance imaging data recorded from healthy individuals to inspect the relationship between the accuracy of fitting, the size of the brain system to be analyzed, and the data length.Comment: 22 pages, 4 figures, 1 tabl

Regional Economic Integration and its Impacts on Growth, Poverty and Income Distribution: The Case of Indonesia

Indonesia is facing the trade liberalization and regional economic integration with several free trade areas, i.e. bilateral FTA, regional FTA and multilateral FTA. The aim of this paper is to analyze the impact of those international relationships on Indonesian economic growth, poverty and income distribution. By using a Global Computable General Equilibrium (GCGE) model, we made eighteen simulations to analyze the current and the potential international relationship that is faced by Indonesia. Generally, Indonesia gains significant benefit in terms of real GDP, output and welfare except FTA with India. FTA also increases the household income of rural group higher than the urban group ones. Unskilled labor experiences more advantages than skilled labor and poor household gain more benefit than the rich household both in rural and urban areas. Those conditions imply that FTA potentially could be a solution for national poverty reduction.Economic integration, Indonesia