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This model of operation will offer a number of advantages.
The potential for amplicon contamination associated with NAT assay use is well recognised and makes mandatory the use of (a) separate, designated work stations and (b) a uni-directional work-flow from specimen preparation to amplified product analysis; this model of operation is standard in our laboratory.
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This hybrid model of operation creates a purchaser-provider split and the health insurers operate for-profit or not-for-profit in the insurance scheme.
In a distributed ecosystem, the model of operations expands beyond company boundaries.
In this paper, we propose a new model of operation for supervised machine learning algorithms that learn from genomic data.
In this study, we propose a new model of operation for specific supervised machine learning algorithms that is aligned with the fast changing nature of genomic data.
In this paper, we proposed a new model of operation for specific supervised machine learning algorithms that utilize training sets curated from dynamically changing public resources, such as genomic databases.
This mode of operation requires, in model terminology, many variables and constraints which in turn requires the use of mathematical models (Christiansen and Fagerholt 2014).
Ability of older adults to use an appliance depends on their mental model of operation.
A model of operation was developed followed by the simulation and the realization of a prototype.
The mathematical model of operation and the probability model of failure for the individual machine, workstation and entire system are presented.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com