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These data can be used to improve allelic discrimination of other primer extension genotyping methodologies through directed use of nucleotide mismatches.
We describe the technologies to achieve these goals and discuss the methodologies through representative use cases in studying transportation systems and control algorithms.
This paper investigates the effectiveness of such commonly used progressive collapse evaluation and design methodologies through numerical simulation and experimental data.
Although prior studies have examined the relationships between these two methodologies through similar experiments, they have produced conflicting results in the literature for a variety of reasons.
The area of computer-aided molecular design has benefited from significant advances in technology and methodologies through consideration of problems with increasing complexity and size.
In addition, development through direct support to research and training, and verification of isotope hydrology methodologies through field projects are required by various researchers in the region, and constant efforts are essential to propagate the same to end-users.
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A recent study at Southbank University found that by using sophisticated methodology, through an analysis of the personal and family circumstances of a child, it is possible to predict which young ones are at risk.
BC verified the proposed methodology through simulations.
Then we validated the methodology through an experimental session.
This paper finally examines this methodology through a case study.
Section 4 exemplifies the performance of the proposed methodology through the resolution of two study cases.
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CEO of Professional Science Editing for Scientists @ prosciediting.com