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A lack of adherence and need for guideline implementation has been reported in relation to both antibiotic prescribing for RTI and recommendations for the prevention of secondary stroke [ 4, 32, 33].
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Results of simulation, design and implementation have been reported.
Apart from the frequent rotation of medical interns, similar barriers in guideline implementation have been reported previously [ 18, 44].
In Australia and the United Kingdom, which have catch-up programs for children <2 years of age, decreases in vaccine-serotype IPD in unvaccinated children within 3 years after PCV-7 implementation have been reported (21, 22 ).
From a practical perspective, however, limited hardware implementations have been reported in the literature so far.
Although successful implementations have been reported, a solid analysis with respect to the convergence of these iterations has not been established.
High speedups over CPU implementations have been reported and this trend is expected to continue in the future with improved programming support and tighter CPU GPU integration.
Many successful implementations have been reported, despite the lack of a solid analysis with respect to the convergence and value of these iterations.
To overcome computing limitations, some fast implementations have been reported for genomic prediction models such as BayesA [ 7], BayesB [ 8, 9] and Bayesian Lasso [ 10].
We denote this as frequency advance, which has been the basic concept for our real-time system implementation that has been reported in [30].
The design, development, implementation and evaluation has been reported elsewhere [ 15, 16].
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CEO of Professional Science Editing for Scientists @ prosciediting.com