Increasing research evidence in practice: a possible role for the consultant nurse

Aims: To determine the extent to which clinical nursing practice has adopted research evidence. To identify barriers to the application of research findings in practice and to propose ways of overcoming these barriers. Background: Way back in 1976, nursing and midwifery practice started adopting research evidence. By 1990s, there was some transparency of research evidence in practice, but more could have been done to widen its adoption. Many barriers were identified which could hinder implementation of the evidence in practice, and the effort to remove these remains weak. Evaluation: 25 research articles from across Europe and America were selected, and scrutinized, and recommendations analysed. Findings: Many clinical practitioners report a lack of time, ability and motivation to appraise research reports and adopt findings in practice. The clinical environment was not seen as research friendly as there were a general lack of research activities and facilities locally. There was a clear lack of research leadership in practice. Implication for nursing management: This paper reviewed the research evidence from several published research papers and provides consultant nurses with practical suggestions on how to enhance research evidence application in their practice. It recommends how consultant nurses can make their practice more research transparent by providing the required leadership, creating a research-friendly organization, developing a clear research agenda and facilitating staff develop a local research framework for reading research and implementing research evidence in their practice.

Statistical software usage by student and consultant statisticians in the UK - A comparative study

Abstract not available

Parallel bandwidth characteristics calculations for thin avalanche photodiodes on a SGI Origin 2000 supercomputer

An important factor for high-speed optical communication is the availability of ultrafast and low-noise photodetectors. Among the semiconductor photodetectors that are commonly used in today’s long-haul and metro-area fiber-optic systems, avalanche photodiodes (APDs) are often preferred over p-i-n photodiodes due to their internal gain, which significantly improves the receiver sensitivity and alleviates the need for optical pre-amplification. Unfortunately, the random nature of the very process of carrier impact ionization, which generates the gain, is inherently noisy and results in fluctuations not only in the gain but also in the time response. Recently, a theory characterizing the autocorrelation function of APDs has been developed by us which incorporates the dead-space effect, an effect that is very significant in thin, high-performance APDs. The research extends the time-domain analysis of the dead-space multiplication model to compute the autocorrelation function of the APD impulse response. However, the computation requires a large amount of memory space and is very time consuming. In this research, we describe our experiences in parallelizing the code in MPI and OpenMP using CAPTools. Several array partitioning schemes and scheduling policies are implemented and tested. Our results show that the code is scalable up to 64 processors on a SGI Origin 2000 machine and has small average errors.