We investigate the effect of clustering on network observability transitions. In model introduced by Yang et al. (2012), a given fraction nodes are chosen randomly, and they those neighbors considered to be observable, while other unobservable. For random clustered networks, we derive normalized sizes largest observable component (LOC) unobservable (LUC). Considering case where numbers edges tr...

In this paper, we propose a new clustered reconfigurable interconnect network (CRIN) BIST to improve the embedding probabilities of random-pattern-resistant-patterns. The proposed method uses a scan-cell reordering technique based on the signal probabilities of given test cubes and specific hardware blocks that increases the embedding probabilities of care bit clustered scan chain test cubes. W...

In multicenter studies, subjects in different centers may have different outcome distributions. This article is motivated by the problem of nonparametric modeling of these distributions, borrowing information across centers while also allowing centers to be clustered. Starting with a stick-breaking representation of the Dirichlet process (DP), we replace the random atoms with random probability...

We present a linear time algorithm for testing clustered planarity of c-connected clustered graphs and for computing a clustered planar embedding for such graphs. Our algorithm uses a decomposition of the input graph based on SPQR-trees and is the first linear time algorithm for clustered planarity testing. We define a normal form of clustered embeddings and show that a clustered graph is clust...

Strategies have been proposed to facilitate collaboration between conventional health care providers in primary care. However, little is known if these are transferable to CAM health care providers. We designed a qualitative study to articulate a conceptual model to advance the interprofessional collaboration between physicians and chiropractors within community-based primary care in Ontario, C...

BACKGROUND AND OBJECTIVE Physician awareness of the results of tests pending at discharge (TPADs) is poor. We developed an automated system that notifies responsible physicians of TPAD results via secure, network email. We sought to evaluate the impact of this system on self-reported awareness of TPAD results by responsible physicians, a necessary intermediary step to improve management of TPAD...