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There are a multitude of methodologies to place a value on impacts and improvements, but these are often criticised for not being consistent or comparable, and for producing numbers that are difficult for business to relate to.
Because a multitude of methodologies exists that can be employed to impute a haplotype, a range of imputation software, consequently, also exists.
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Coupled with a multitude of bio-informatic methodologies publicly available on the Internet and made available by consortia of laboratories, investigators can now mine these databases to explore the presence of unique gene sets, the distribution patterns of gene expression, and the possible existence of unique structural features in predicted gene products.
To accommodate this diversity in data, models, and methodologies, a multitude of applications and tools are used (Supplementary Figure S7 online).
The obvious strength of this study lays in the joint use of quantitative and qualitative methods of data collection and analysis, allowing us to explore a multitude of factors which the single methodologies would have not been able to capture adequately.
Both methodologies derive a multitude of techniques from renowned Toyota production system and share common primary goals productivity growth and the establishment of a culture of continuous improvement in companies.
In contrast, our methodology provides a multitude of correlated chemical shifts, which allows convergence to a single structure/structural motif, thus yielding unprecedented structural details for phenolic compounds in samples of humic substances.
Given that there are a multitude of possibilities for keypoint design, we propose a general methodology for comparing keypoint location selection heuristics and descriptor models that describe the region around the keypoint.
A novel multi objective optimization algorithm capable of handling a multitude of objectives in mixed integer nonlinear search space and a novel decision making methodology are integrated with a sequential modular process simulator to optimize processes with a multitude of objectives rigorously and efficiently.
The results indicate that in spite of the widespread impact of TMJD, and the multitude of potential interventions, clinicians have expended sparse attention to systematically implementing clinical trial methodology that would improve validity and reliability of outcome measures.
A multitude of deployment scenarios and system parameters are investigated based on widely used system-level evaluation methodologies.
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