Background: Knowing the development pattern of children’s language is applicable in developmental psychology. Network models of language are helpful for the identification of these patterns.  Objectives: We examined the small-world properties of featured semantic networks of developing children. Materials & Methods: In this longitudinal study, the featured semantic networks of children aged 1...

We present an approach to adaptively utilize deep neural networks in order to reduce the evaluation time on new examples without loss of accuracy. Rather than attempting to redesign or approximate existing networks, we propose two schemes that adaptively utilize networks. We first pose an adaptive network evaluation scheme, where we learn a system to adaptively choose the components of a deep n...

A proliferating literature in IR theory documents the impact of transnational advocacy networks on global public policy making. We know little, however, about the process by which advocacy networks select issues around which to mobilize in the first place. This paper aims to develop a framework for analyzing variation in issue emergence by comparing two prominent issues in the transnational net...

\An adaptive and fault tolerant wormhole routing strategy for k-ary n-cubes, 23 the policy would divide the packets into classes depending on their degree of adaptiveness. An output selection policy that waits a short period before selecting a nonpreferred output channel, especially one that leads away from the destination, may improve performance. Also beneecial for nonminimal routing may be a...

The infrastructure of the Internet is evolving from that of a public network to interconnected private networks that are selective in terms and conditions for connectivity to others. The connectivity, reach, and bandwidth of the Internet in the next century will depend on its infrastructure, which in turn depends on the economics and forms of the interconnection agreements that create the globa...

Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are fast in case of speed but are not accurate enough. On the other hand, the global link predicti...

This paper studies the growth and performance of foreign investment enterprises in developing countries in the context of global economic integration and domestic reform with a focus on Vietnam as a case study. A model of enterprise performance is constructed to provide empirical findings and evidence-based policy implications on the role of capital, investment, monetary and development pol...