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Probing the limits of genetic recoding using multi-omics-guided evolution. [PDF]
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OCLC Systems & Services: International digital library perspectives, 2013
PurposeIntegration of library services via automated means does not require that the patron make abrupt shifts between interfaces or tools in order to take advantage of the vast array of resources a modern academic library provides. This can be accomplished in a seamless manner.
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PurposeIntegration of library services via automated means does not require that the patron make abrupt shifts between interfaces or tools in order to take advantage of the vast array of resources a modern academic library provides. This can be accomplished in a seamless manner.
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Fitness to practise will be fit for the future
Nursing Standard, 2016The Nursing and Midwifery Council is often in the news, and most coverage relates to outcomes of our fitness to practise (FtP) hearings.
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The Physician and Sportsmedicine, 1998
Being physically inactive is as damaging to your health as smoking cigarettes. A large majority of Americans shun smoking because of the health implications. Why, then, aren't more Americans willing to exercise?
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Being physically inactive is as damaging to your health as smoking cigarettes. A large majority of Americans shun smoking because of the health implications. Why, then, aren't more Americans willing to exercise?
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1998
Recently, Rousseeuw & Hubert (1996) defined the depth of a regression fit relative to the data. This concept of regression depth immediately leads to a new robust regression estimator which we call the deepest fit. Quite simply, it is the fit with largest depth. Therefore, it can be seen as a generalization of the univariate median.
Rousseeuw, P.J., Van Aelst, S.
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Recently, Rousseeuw & Hubert (1996) defined the depth of a regression fit relative to the data. This concept of regression depth immediately leads to a new robust regression estimator which we call the deepest fit. Quite simply, it is the fit with largest depth. Therefore, it can be seen as a generalization of the univariate median.
Rousseeuw, P.J., Van Aelst, S.
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A comparison of next-fit, first-fit, and best-fit
Communications of the ACM, 1977“Next-fit” allocation differs from first-fit in that a first-fit allocator commences its search for free space at a fixed end of memory, whereas a next-fit allocator commences its search wherever it previously stopped searching. This strategy is called “modified first-fit” by Shore [2] and is significantly faster than the first-fit allocator.
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