This work studies end-to-end light-path assessment across network domains with incomplete management information. The focus is on investigating (a) whether the assessment can be made using domain-centric average information, (b) how to estimate such information using distributed algorithms which only exchange several parameters among neighboring domains, and (c) how informative these parameters...

A retrospective cohort study of the 2002 Victorian prehospital emergency care documentation completed by ambulance paramedics had the objectives: (i) to design and implement a quality assessment tool to determine the quality of the ambulance patient care record (PCR) information; and (ii) to identify critical demographic and clinical items on the ambulance PCR that needed improvement. The study...

Background. This study describes a decision-theoretic approach to nutrient assessment based on Bayesian methods, which can be used to give accurate estimates of optimum intakes. Analysis of risk is an incomplete technique for dealing with nutrients and other substances that, by definition, have an associated benefit. Results. This paper shows that the risk analysis methods being developed by th...

I was so honored by Dr Organ’s invitation to write this article that I immediately accepted. Then, as I considered this subject—changes in the role of an academic surgical chair— I realized the difficulty I faced. Certainly, any such assessment by me alone is biased by my personal experience and particularly by my incomplete understanding of the roles of an academic surgical chair in the past. ...

Multiple imputation (MI) is a popular method for dealing with missing values. However, the suitable way applying clustering after MI remains unclear: how to pool partitions? How assess instability when data are incomplete? By answering both questions, this paper proposed complete view of using MI. The problem partitions pooling here addressed consensus while, based on bootstrap theory, we expla...

We consider parallel preconditioning schemes to accelerate the convergence of Conjugate Gradients (CG) for sparse linear system solution. We develop methods for constructing and applying preconditioners on multiprocessors using incomplete factorizations with selective inversion for improved latency-tolerance. We provide empirical results on the efficiency, scalability and quality of our precond...