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Embedded systems design process focuses on three areas: modeling, validation and implementation.
The development, validation and implementation of such models into hygrothermal models is required to supplement observational and experimental research efforts.
Laboratories, therefore, rely on the published literature to better understand the validation and implementation of such tests.
Rational and efficient development of new molecular cancer therapeutics requires discovery, validation, and implementation of informative biomarkers.
This article details the development, validation, and implementation of the elementary mathematics motivation inventory, a survey instrument designed to measure motivational constructs related to mathematics in elementary students.
We report here the design, validation, and implementation of a comprehensive 95-gene next-generation sequencing panel targeted for hematologic malignancies that we named rapid heme panel.
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Computing time is important, particularly for cross-validation and implementation in practice which requires frequent re-estimation of breeding values.
The control strategy approaches, must be followed right from system identification, modelling, validation, test and implementation.
A pathway to develop multiplex serology tests for infectious disease diagnosis described here serves as a model for multiplex immunoassay design, clinical validation, refinement and implementation.
Accurate risk prediction models are the result of four key stages: development, validation, impact, and implementation.
Further comparison the six guideline programs was carried out using the following elements of the guideline development processes: Structure and organization; Preparation and initiation; Development; Validation; Dissemination and implementation; Evaluation and update.
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CEO of Professional Science Editing for Scientists @ prosciediting.com